GAC - the Criterion for Global Avalanche Characteristics of Cryptographic Functions

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技术性贸易措施对机电产品贸易出口影响研究——基于RCEP东盟外成员发布的机电类WTO

技术性贸易措施对机电产品贸易出口影响研究——基于RCEP东盟外成员发布的机电类WTO

技术性贸易措施技术性贸易措施对机电产品贸易出口影响研究——基于RCEP东盟外成员发布的机电类WTO/TBT通报■ 彭 莉1* 杨 松2 范晓譞2(1. 上海海关机电产品检测技术中心;2. 海关总署国际检验检疫标准与技术法规研究中心)摘 要:RCEP(区域全面经济伙伴关系协定)的生效实施,标志着全球人口最多、经贸规模最大、最具发展潜力的自由贸易区正式落地。

为便利成员之间的货物贸易,RCEP加强了对WTO/TBT《技术性贸易壁垒协定》的履行。

机械、电子及运输设备等机电类产品是中国在RCEP域内贸易最具有竞争力、贸易量最大的产品。

了解并应对RCEP成员的技术性贸易壁垒对促进中国机电产品出口和贸易便利化有着积极影响。

本文梳理了除东盟外的RCEP成员近三年有关机电类WTO/TBT通报情况,并选取重点通报案例,对其现状进行了分析。

结果表明,产业贸易保护仍将存在,建议倡导推进成员之间合作与互认、推进我国产业标准和技术标准的升级。

关键词:区域全面经济伙伴关系协定,技术性贸易措施,机电产品出口,促进贸易便利化DOI编码:10.3969/j.issn.1002-5944.2023.21.030Research on Impact of Technical Measures to Trade on the Export ofMechanical and Electrical Products——Based on the WTO/TBT Notifications on Mechanical and Electrical Products issued by RCEP members other than ASEANPENG Li1* YANG Song2 FAN Xiao-xuan2(1. Technical Center for Mechanical and Electrical Product Inspection and Testing of Shanghai Customs District;2. Research Center of GACC for International Inspection and Quarantine Standards and Technical Regulations) Abstract:The implementation of Regional Comprehensive Economic Partnership (RCEP) marks the official implementation of the free trade zone with the largest population, the largest economic and trade scale and the greatest development potential in the world. In order to facilitate the trade among the members, RCEP has strengthened the performance of Agreement on Technical Barriers to Trade of WTO/TBT. Mechanical, electronic and transportation equipment and other electronically products are the most competitive Chinese products with the largest trade volume within RCEP region. Understanding and coping with the technical barriers to trade of RCEP members positively infl uence the export and trade facilitation of Chinese mechanical and electrical products. This paper sorts out WTO/TBT notifi cations on the mechanical and electrical products of RCEP members other than ASEAN in recent three years, and analyzes the current situation of key notifi cation cases. Based on the above analysis, the paper suggests that we should advocate promoting the cooperation and mutual recognition among the members and promoting the upgrading of China’s industrial standards and technical standards.Keywords: RCEP, technical measures to trade, export of mechanical and electrical products, promotion of trade facilitation彭莉,杨松,范晓譞:技术性贸易措施对机电产品贸易出口影响研究0 引 言RCEP是中国在谈的13个自由贸易区中参与度最大、经济规模最大、地缘政治影响最大的自贸区,是中国自贸区战略进程中的重要里程碑。

OSHA现场作业手册说明书

OSHA现场作业手册说明书

DIRECTIVE NUMBER: CPL 02-00-150 EFFECTIVE DATE: April 22, 2011 SUBJECT: Field Operations Manual (FOM)ABSTRACTPurpose: This instruction cancels and replaces OSHA Instruction CPL 02-00-148,Field Operations Manual (FOM), issued November 9, 2009, whichreplaced the September 26, 1994 Instruction that implemented the FieldInspection Reference Manual (FIRM). The FOM is a revision of OSHA’senforcement policies and procedures manual that provides the field officesa reference document for identifying the responsibilities associated withthe majority of their inspection duties. This Instruction also cancels OSHAInstruction FAP 01-00-003 Federal Agency Safety and Health Programs,May 17, 1996 and Chapter 13 of OSHA Instruction CPL 02-00-045,Revised Field Operations Manual, June 15, 1989.Scope: OSHA-wide.References: Title 29 Code of Federal Regulations §1903.6, Advance Notice ofInspections; 29 Code of Federal Regulations §1903.14, Policy RegardingEmployee Rescue Activities; 29 Code of Federal Regulations §1903.19,Abatement Verification; 29 Code of Federal Regulations §1904.39,Reporting Fatalities and Multiple Hospitalizations to OSHA; and Housingfor Agricultural Workers: Final Rule, Federal Register, March 4, 1980 (45FR 14180).Cancellations: OSHA Instruction CPL 02-00-148, Field Operations Manual, November9, 2009.OSHA Instruction FAP 01-00-003, Federal Agency Safety and HealthPrograms, May 17, 1996.Chapter 13 of OSHA Instruction CPL 02-00-045, Revised FieldOperations Manual, June 15, 1989.State Impact: Notice of Intent and Adoption required. See paragraph VI.Action Offices: National, Regional, and Area OfficesOriginating Office: Directorate of Enforcement Programs Contact: Directorate of Enforcement ProgramsOffice of General Industry Enforcement200 Constitution Avenue, NW, N3 119Washington, DC 20210202-693-1850By and Under the Authority ofDavid Michaels, PhD, MPHAssistant SecretaryExecutive SummaryThis instruction cancels and replaces OSHA Instruction CPL 02-00-148, Field Operations Manual (FOM), issued November 9, 2009. The one remaining part of the prior Field Operations Manual, the chapter on Disclosure, will be added at a later date. This Instruction also cancels OSHA Instruction FAP 01-00-003 Federal Agency Safety and Health Programs, May 17, 1996 and Chapter 13 of OSHA Instruction CPL 02-00-045, Revised Field Operations Manual, June 15, 1989. This Instruction constitutes OSHA’s general enforcement policies and procedures manual for use by the field offices in conducting inspections, issuing citations and proposing penalties.Significant Changes∙A new Table of Contents for the entire FOM is added.∙ A new References section for the entire FOM is added∙ A new Cancellations section for the entire FOM is added.∙Adds a Maritime Industry Sector to Section III of Chapter 10, Industry Sectors.∙Revises sections referring to the Enhanced Enforcement Program (EEP) replacing the information with the Severe Violator Enforcement Program (SVEP).∙Adds Chapter 13, Federal Agency Field Activities.∙Cancels OSHA Instruction FAP 01-00-003, Federal Agency Safety and Health Programs, May 17, 1996.DisclaimerThis manual is intended to provide instruction regarding some of the internal operations of the Occupational Safety and Health Administration (OSHA), and is solely for the benefit of the Government. No duties, rights, or benefits, substantive or procedural, are created or implied by this manual. The contents of this manual are not enforceable by any person or entity against the Department of Labor or the United States. Statements which reflect current Occupational Safety and Health Review Commission or court precedents do not necessarily indicate acquiescence with those precedents.Table of ContentsCHAPTER 1INTRODUCTIONI.PURPOSE. ........................................................................................................... 1-1 II.SCOPE. ................................................................................................................ 1-1 III.REFERENCES .................................................................................................... 1-1 IV.CANCELLATIONS............................................................................................. 1-8 V. ACTION INFORMATION ................................................................................. 1-8A.R ESPONSIBLE O FFICE.......................................................................................................................................... 1-8B.A CTION O FFICES. .................................................................................................................... 1-8C. I NFORMATION O FFICES............................................................................................................ 1-8 VI. STATE IMPACT. ................................................................................................ 1-8 VII.SIGNIFICANT CHANGES. ............................................................................... 1-9 VIII.BACKGROUND. ................................................................................................. 1-9 IX. DEFINITIONS AND TERMINOLOGY. ........................................................ 1-10A.T HE A CT................................................................................................................................................................. 1-10B. C OMPLIANCE S AFETY AND H EALTH O FFICER (CSHO). ...........................................................1-10B.H E/S HE AND H IS/H ERS ..................................................................................................................................... 1-10C.P ROFESSIONAL J UDGMENT............................................................................................................................... 1-10E. W ORKPLACE AND W ORKSITE ......................................................................................................................... 1-10CHAPTER 2PROGRAM PLANNINGI.INTRODUCTION ............................................................................................... 2-1 II.AREA OFFICE RESPONSIBILITIES. .............................................................. 2-1A.P ROVIDING A SSISTANCE TO S MALL E MPLOYERS. ...................................................................................... 2-1B.A REA O FFICE O UTREACH P ROGRAM. ............................................................................................................. 2-1C. R ESPONDING TO R EQUESTS FOR A SSISTANCE. ............................................................................................ 2-2 III. OSHA COOPERATIVE PROGRAMS OVERVIEW. ...................................... 2-2A.V OLUNTARY P ROTECTION P ROGRAM (VPP). ........................................................................... 2-2B.O NSITE C ONSULTATION P ROGRAM. ................................................................................................................ 2-2C.S TRATEGIC P ARTNERSHIPS................................................................................................................................. 2-3D.A LLIANCE P ROGRAM ........................................................................................................................................... 2-3 IV. ENFORCEMENT PROGRAM SCHEDULING. ................................................ 2-4A.G ENERAL ................................................................................................................................................................. 2-4B.I NSPECTION P RIORITY C RITERIA. ..................................................................................................................... 2-4C.E FFECT OF C ONTEST ............................................................................................................................................ 2-5D.E NFORCEMENT E XEMPTIONS AND L IMITATIONS. ....................................................................................... 2-6E.P REEMPTION BY A NOTHER F EDERAL A GENCY ........................................................................................... 2-6F.U NITED S TATES P OSTAL S ERVICE. .................................................................................................................. 2-7G.H OME-B ASED W ORKSITES. ................................................................................................................................ 2-8H.I NSPECTION/I NVESTIGATION T YPES. ............................................................................................................... 2-8 V.UNPROGRAMMED ACTIVITY – HAZARD EVALUATION AND INSPECTION SCHEDULING ............................................................................ 2-9 VI.PROGRAMMED INSPECTIONS. ................................................................... 2-10A.S ITE-S PECIFIC T ARGETING (SST) P ROGRAM. ............................................................................................. 2-10B.S CHEDULING FOR C ONSTRUCTION I NSPECTIONS. ..................................................................................... 2-10C.S CHEDULING FOR M ARITIME I NSPECTIONS. ............................................................................. 2-11D.S PECIAL E MPHASIS P ROGRAMS (SEP S). ................................................................................... 2-12E.N ATIONAL E MPHASIS P ROGRAMS (NEP S) ............................................................................... 2-13F.L OCAL E MPHASIS P ROGRAMS (LEP S) AND R EGIONAL E MPHASIS P ROGRAMS (REP S) ............ 2-13G.O THER S PECIAL P ROGRAMS. ............................................................................................................................ 2-13H.I NSPECTION S CHEDULING AND I NTERFACE WITH C OOPERATIVE P ROGRAM P ARTICIPANTS ....... 2-13CHAPTER 3INSPECTION PROCEDURESI.INSPECTION PREPARATION. .......................................................................... 3-1 II.INSPECTION PLANNING. .................................................................................. 3-1A.R EVIEW OF I NSPECTION H ISTORY .................................................................................................................... 3-1B.R EVIEW OF C OOPERATIVE P ROGRAM P ARTICIPATION .............................................................................. 3-1C.OSHA D ATA I NITIATIVE (ODI) D ATA R EVIEW .......................................................................................... 3-2D.S AFETY AND H EALTH I SSUES R ELATING TO CSHO S.................................................................. 3-2E.A DVANCE N OTICE. ................................................................................................................................................ 3-3F.P RE-I NSPECTION C OMPULSORY P ROCESS ...................................................................................................... 3-5G.P ERSONAL S ECURITY C LEARANCE. ................................................................................................................. 3-5H.E XPERT A SSISTANCE. ........................................................................................................................................... 3-5 III. INSPECTION SCOPE. ......................................................................................... 3-6A.C OMPREHENSIVE ................................................................................................................................................... 3-6B.P ARTIAL. ................................................................................................................................................................... 3-6 IV. CONDUCT OF INSPECTION .............................................................................. 3-6A.T IME OF I NSPECTION............................................................................................................................................. 3-6B.P RESENTING C REDENTIALS. ............................................................................................................................... 3-6C.R EFUSAL TO P ERMIT I NSPECTION AND I NTERFERENCE ............................................................................. 3-7D.E MPLOYEE P ARTICIPATION. ............................................................................................................................... 3-9E.R ELEASE FOR E NTRY ............................................................................................................................................ 3-9F.B ANKRUPT OR O UT OF B USINESS. .................................................................................................................... 3-9G.E MPLOYEE R ESPONSIBILITIES. ................................................................................................. 3-10H.S TRIKE OR L ABOR D ISPUTE ............................................................................................................................. 3-10I. V ARIANCES. .......................................................................................................................................................... 3-11 V. OPENING CONFERENCE. ................................................................................ 3-11A.G ENERAL ................................................................................................................................................................ 3-11B.R EVIEW OF A PPROPRIATION A CT E XEMPTIONS AND L IMITATION. ..................................................... 3-13C.R EVIEW S CREENING FOR P ROCESS S AFETY M ANAGEMENT (PSM) C OVERAGE............................. 3-13D.R EVIEW OF V OLUNTARY C OMPLIANCE P ROGRAMS. ................................................................................ 3-14E.D ISRUPTIVE C ONDUCT. ...................................................................................................................................... 3-15F.C LASSIFIED A REAS ............................................................................................................................................. 3-16VI. REVIEW OF RECORDS. ................................................................................... 3-16A.I NJURY AND I LLNESS R ECORDS...................................................................................................................... 3-16B.R ECORDING C RITERIA. ...................................................................................................................................... 3-18C. R ECORDKEEPING D EFICIENCIES. .................................................................................................................. 3-18 VII. WALKAROUND INSPECTION. ....................................................................... 3-19A.W ALKAROUND R EPRESENTATIVES ............................................................................................................... 3-19B.E VALUATION OF S AFETY AND H EALTH M ANAGEMENT S YSTEM. ....................................................... 3-20C.R ECORD A LL F ACTS P ERTINENT TO A V IOLATION. ................................................................................. 3-20D.T ESTIFYING IN H EARINGS ................................................................................................................................ 3-21E.T RADE S ECRETS. ................................................................................................................................................. 3-21F.C OLLECTING S AMPLES. ..................................................................................................................................... 3-22G.P HOTOGRAPHS AND V IDEOTAPES.................................................................................................................. 3-22H.V IOLATIONS OF O THER L AWS. ....................................................................................................................... 3-23I.I NTERVIEWS OF N ON-M ANAGERIAL E MPLOYEES .................................................................................... 3-23J.M ULTI-E MPLOYER W ORKSITES ..................................................................................................................... 3-27 K.A DMINISTRATIVE S UBPOENA.......................................................................................................................... 3-27 L.E MPLOYER A BATEMENT A SSISTANCE. ........................................................................................................ 3-27 VIII. CLOSING CONFERENCE. .............................................................................. 3-28A.P ARTICIPANTS. ..................................................................................................................................................... 3-28B.D ISCUSSION I TEMS. ............................................................................................................................................ 3-28C.A DVICE TO A TTENDEES .................................................................................................................................... 3-29D.P ENALTIES............................................................................................................................................................. 3-30E.F EASIBLE A DMINISTRATIVE, W ORK P RACTICE AND E NGINEERING C ONTROLS. ............................ 3-30F.R EDUCING E MPLOYEE E XPOSURE. ................................................................................................................ 3-32G.A BATEMENT V ERIFICATION. ........................................................................................................................... 3-32H.E MPLOYEE D ISCRIMINATION .......................................................................................................................... 3-33 IX. SPECIAL INSPECTION PROCEDURES. ...................................................... 3-33A.F OLLOW-UP AND M ONITORING I NSPECTIONS............................................................................................ 3-33B.C ONSTRUCTION I NSPECTIONS ......................................................................................................................... 3-34C. F EDERAL A GENCY I NSPECTIONS. ................................................................................................................. 3-35CHAPTER 4VIOLATIONSI. BASIS OF VIOLATIONS ..................................................................................... 4-1A.S TANDARDS AND R EGULATIONS. .................................................................................................................... 4-1B.E MPLOYEE E XPOSURE. ........................................................................................................................................ 4-3C.R EGULATORY R EQUIREMENTS. ........................................................................................................................ 4-6D.H AZARD C OMMUNICATION. .............................................................................................................................. 4-6E. E MPLOYER/E MPLOYEE R ESPONSIBILITIES ................................................................................................... 4-6 II. SERIOUS VIOLATIONS. .................................................................................... 4-8A.S ECTION 17(K). ......................................................................................................................... 4-8B.E STABLISHING S ERIOUS V IOLATIONS ............................................................................................................ 4-8C. F OUR S TEPS TO BE D OCUMENTED. ................................................................................................................... 4-8 III. GENERAL DUTY REQUIREMENTS ............................................................. 4-14A.E VALUATION OF G ENERAL D UTY R EQUIREMENTS ................................................................................. 4-14B.E LEMENTS OF A G ENERAL D UTY R EQUIREMENT V IOLATION.............................................................. 4-14C. U SE OF THE G ENERAL D UTY C LAUSE ........................................................................................................ 4-23D.L IMITATIONS OF U SE OF THE G ENERAL D UTY C LAUSE. ..............................................................E.C LASSIFICATION OF V IOLATIONS C ITED U NDER THE G ENERAL D UTY C LAUSE. ..................F. P ROCEDURES FOR I MPLEMENTATION OF S ECTION 5(A)(1) E NFORCEMENT ............................ 4-25 4-27 4-27IV.OTHER-THAN-SERIOUS VIOLATIONS ............................................... 4-28 V.WILLFUL VIOLATIONS. ......................................................................... 4-28A.I NTENTIONAL D ISREGARD V IOLATIONS. ..........................................................................................4-28B.P LAIN I NDIFFERENCE V IOLATIONS. ...................................................................................................4-29 VI. CRIMINAL/WILLFUL VIOLATIONS. ................................................... 4-30A.A REA D IRECTOR C OORDINATION ....................................................................................................... 4-31B.C RITERIA FOR I NVESTIGATING P OSSIBLE C RIMINAL/W ILLFUL V IOLATIONS ........................ 4-31C. W ILLFUL V IOLATIONS R ELATED TO A F ATALITY .......................................................................... 4-32 VII. REPEATED VIOLATIONS. ...................................................................... 4-32A.F EDERAL AND S TATE P LAN V IOLATIONS. ........................................................................................4-32B.I DENTICAL S TANDARDS. .......................................................................................................................4-32C.D IFFERENT S TANDARDS. .......................................................................................................................4-33D.O BTAINING I NSPECTION H ISTORY. .....................................................................................................4-33E.T IME L IMITATIONS..................................................................................................................................4-34F.R EPEATED V. F AILURE TO A BATE....................................................................................................... 4-34G. A REA D IRECTOR R ESPONSIBILITIES. .............................................................................. 4-35 VIII. DE MINIMIS CONDITIONS. ................................................................... 4-36A.C RITERIA ................................................................................................................................................... 4-36B.P ROFESSIONAL J UDGMENT. ..................................................................................................................4-37C. A REA D IRECTOR R ESPONSIBILITIES. .............................................................................. 4-37 IX. CITING IN THE ALTERNATIVE ............................................................ 4-37 X. COMBINING AND GROUPING VIOLATIONS. ................................... 4-37A.C OMBINING. ..............................................................................................................................................4-37B.G ROUPING. ................................................................................................................................................4-38C. W HEN N OT TO G ROUP OR C OMBINE. ................................................................................................4-38 XI. HEALTH STANDARD VIOLATIONS ....................................................... 4-39A.C ITATION OF V ENTILATION S TANDARDS ......................................................................................... 4-39B.V IOLATIONS OF THE N OISE S TANDARD. ...........................................................................................4-40 XII. VIOLATIONS OF THE RESPIRATORY PROTECTION STANDARD(§1910.134). ....................................................................................................... XIII. VIOLATIONS OF AIR CONTAMINANT STANDARDS (§1910.1000) ... 4-43 4-43A.R EQUIREMENTS UNDER THE STANDARD: .................................................................................................. 4-43B.C LASSIFICATION OF V IOLATIONS OF A IR C ONTAMINANT S TANDARDS. ......................................... 4-43 XIV. CITING IMPROPER PERSONAL HYGIENE PRACTICES. ................... 4-45A.I NGESTION H AZARDS. .................................................................................................................................... 4-45B.A BSORPTION H AZARDS. ................................................................................................................................ 4-46C.W IPE S AMPLING. ............................................................................................................................................. 4-46D.C ITATION P OLICY ............................................................................................................................................ 4-46 XV. BIOLOGICAL MONITORING. ...................................................................... 4-47CHAPTER 5CASE FILE PREPARATION AND DOCUMENTATIONI.INTRODUCTION ............................................................................................... 5-1 II.INSPECTION CONDUCTED, CITATIONS BEING ISSUED. .................... 5-1A.OSHA-1 ................................................................................................................................... 5-1B.OSHA-1A. ............................................................................................................................... 5-1C. OSHA-1B. ................................................................................................................................ 5-2 III.INSPECTION CONDUCTED BUT NO CITATIONS ISSUED .................... 5-5 IV.NO INSPECTION ............................................................................................... 5-5 V. HEALTH INSPECTIONS. ................................................................................. 5-6A.D OCUMENT P OTENTIAL E XPOSURE. ............................................................................................................... 5-6B.E MPLOYER’S O CCUPATIONAL S AFETY AND H EALTH S YSTEM. ............................................................. 5-6 VI. AFFIRMATIVE DEFENSES............................................................................. 5-8A.B URDEN OF P ROOF. .............................................................................................................................................. 5-8B.E XPLANATIONS. ..................................................................................................................................................... 5-8 VII. INTERVIEW STATEMENTS. ........................................................................ 5-10A.G ENERALLY. ......................................................................................................................................................... 5-10B.CSHO S SHALL OBTAIN WRITTEN STATEMENTS WHEN: .......................................................................... 5-10C.L ANGUAGE AND W ORDING OF S TATEMENT. ............................................................................................. 5-11D.R EFUSAL TO S IGN S TATEMENT ...................................................................................................................... 5-11E.V IDEO AND A UDIOTAPED S TATEMENTS. ..................................................................................................... 5-11F.A DMINISTRATIVE D EPOSITIONS. .............................................................................................5-11 VIII. PAPERWORK AND WRITTEN PROGRAM REQUIREMENTS. .......... 5-12 IX.GUIDELINES FOR CASE FILE DOCUMENTATION FOR USE WITH VIDEOTAPES AND AUDIOTAPES .............................................................. 5-12 X.CASE FILE ACTIVITY DIARY SHEET. ..................................................... 5-12 XI. CITATIONS. ..................................................................................................... 5-12A.S TATUTE OF L IMITATIONS. .............................................................................................................................. 5-13B.I SSUING C ITATIONS. ........................................................................................................................................... 5-13C.A MENDING/W ITHDRAWING C ITATIONS AND N OTIFICATION OF P ENALTIES. .................................. 5-13D.P ROCEDURES FOR A MENDING OR W ITHDRAWING C ITATIONS ............................................................ 5-14 XII. INSPECTION RECORDS. ............................................................................... 5-15A.G ENERALLY. ......................................................................................................................................................... 5-15B.R ELEASE OF I NSPECTION I NFORMATION ..................................................................................................... 5-15C. C LASSIFIED AND T RADE S ECRET I NFORMATION ...................................................................................... 5-16。

GAC026 AE1 Chinese_Water_Scarcity

GAC026 AE1 Chinese_Water_Scarcity

AbstractNowadays, it’s clearly t see that China is threatened by the fresh water scarcity right now. According to this, I will try to design a best way which is suitable for China to solve this issue by comparing and contrasting different countries’ methods. I have collected some background information from the internet and extracted the main idea into a form. After analyzing it, I have reached a conclusion that reducing the factories which are creating pollutant into the rivers or lakes by establishing a special legal system is the most suitable way for China. This is a convenient and long-lasting project.1.0IntroductionTable 1.0 Solution to solve water scarcityThe purpose of the research is to find the information about water scarcity and to improve the water scarcity problem in China. I choose to increase the water supply as my original solution, and I have develped a creative solution based on the original one. As a result, the thesis of my research is to reduce the polluted water which comes from the factories is a effective way to improve the fresh water scarcity. Aquatic ecosystems cover about 70 percent of the Earth's surface. There are many kinds of animal life in the aquatic systems including microscopic zooplankton and all sizes of marine mammals. (eHow ND)2.0 MethodologyChina is now facing increasingly severe water scarcity problem, especially in the northern part of China. The character of China's water scarcity is the insufficiency of local water resources and the water quality which is decreasing because of the water pollution. (Jiang 2009) Due to the increasing population and the developing of many big cities in China, Chinese government must take action as soon as possible to improve the situation although it is a long-term task. In my opinion, the easiest way to improve this problem in a relatively short time is to establish a certain policy system so that the factories which create a lot of pollution can be reduced. This method can also save a lot of time and money. All that Chinese government has to do is just check if the local government is following the rules.There are several data sources such as the internet, textbooks of science from last semester, and I will also collect some information and experience from other countries' methods so that I can compare them in different situation to find the most effective way.The data that I have collected has helped me a lot to analyze the problem. This includes other countries’ methods to solve the issue. Then I compare them all to try to figure out which way is the most suitable for the situation in China. To sum up, the information that I got from several ways is really useful for me.3.0FindingsTable 2.0 Three main fresh water issues in ChinaHere are three main fresh water issues in China. First is about the wastewater pollution in China. For example, Tianjin is the third largest industrial city in China. However, the whole city’s drainage system and its wastewater treatment are far behind its industrial development. In order to deal with the problem, Tianjin Municipal Government has introduced a waste water improvement project, the World Bank also provide some help for them. Also, Chao Lake is one of the five largest lakes in China which locates in Shanghai, is also damaged because of the rapid development of industry and urban areas. The Shanghai government is also try to get help from the Asian Development Bank. (Min ND) Second issue is the uneven distribution of fresh water. South areas in China is facing the threaten of floods, however, there is not enough rainfall in north areas. The Chinese government has started a great project called south-to-north water diversion project since 2004. For more information about this project, see This project is still lasting until now. I believe that it will works very well to solve this problem. The third issue is about water pollution. Even in the places where the fresh water is rich, water pollution is also decreasing the fresh water supply. So the environmentalists are trying to reduce the factories which produce a lot of wastewater into the freshwater lakes. This work would be a long-lasting project for the whole country.In my opinion, globalization has both positive and negative impacts for the water scarcity in China. First, Chinese government can get a lot of help from other countries after globalization. As I said, Tianjin and Shanghai have already got financial help from some global banks. We can also absorb other countries’ experiences and methods to improve the water scarcity issues.However, there are also several disadvantages. Some international companies would start their municipal companies in other countries. Such small companies are usually factories which would create a lot of pollution into the seas or lakes. This kind of factories harms the environment a lot. Also, globalization may have bad impacts on the developing countries such as China. This is because that we are not strong enough to prevent the risks from happening.4.0 DiscussionAmerica also has water scarcity problem. For example, the Lake Mead, which supplies water for about 22 million people, will be dry by 2021. Also, the water from Colorado River may soon be compelled to cease pumping water to other places because of its water scarcity. The main reason for this is the global warming is fastening the speed of water evaporation. The American environmentalists suggest that they can dig ponds or underwater receptacles. Fortunately, this low-tech method has already helped the farmers in China. (Snyder, ND) India is also a typical country which has very drastic water scarcity problem. This issue even has a negative impact on the whole country’s food security because the farmers do not have enough water to irrigate the farmland. India is a developing country; however, the water scarcity limits the development of agriculture. The geological environment of India includes desert, plain, and tundra, so the climate changes very fast, this situation only makes the problem worse. So the Indian government starts to use a kind of special irrigation method, drip irrigation, and it is trying to improve the water management system. (Chatterjee ND) According to the findings, I have got a conclusion that the methods to solve fresh water issues depend on different situations in different countries. So, because China is a developing country, the industry and agriculture needs to be improved, reducing the factories which areproducing pollutant can not only improve the environment, but also provide more space for other companies to develop. As I have mentioned, Chinese government has already made a plan to solve those issues above. In my opinion, in spite of getting help from the big banks, the government can also hire some environmentalists who have a lot of experiences to design Whatlpful to solve the fresh water issue. I have compared and contrast several countries which are really typical for this problem. Then I find the best way that is very suitable for China. If this plan can be adopted, I i youyyy yee doordoor door dooro doooor fate wamtthat it will be really effective.As I have mentioned in the introd uction part, my original solution to solve the water scarcity problem is to increase water supply. Then I develped a creative solution according to the resesarch I have down on the internet. So I think that to reduce the factories which produce a lot of wastewater is a effective way to increase water supply. Flora Li Yi However, there are also several factors that can influence the findings. For example, the situations are different in different parts of China. Also, the geological environment is different. These are the aspects that I think may interfere with the findings.5.0 Conclusions and RecommendationsWe should then discover some key points for us to do the job successfully that is to say there is no doubt to think I am right and do for it since the portant we shoud zi ji qu faxianwen tnot just I have got after compare and contrast several different countries. It is suitable for China’s situation. Second, this method is easy to do, it will not cost a lot of money or need a lot of people to do it. These are the reasons that I think Chinese government would adopt this solution. If the solution can be adopted, the government should make some special policies orlaws to restrict the factories to prevent them from creating much pollution. Second, the government should let some people to go to all the industrial cities to check if the factories are following the rules. Then they should and so i ythe quality of water once a month so the environmentalists can know if the situatiot is the same for the thing i iken is improving. Of you, we can door me I oneThe key point of me is part I can see some part of myReferenceJiang,Y (2010), Water Scarcity –China, the encyclopedia of Earth , [online] Available at: /article/Water_scarcity_-_China [Accessed 10 March, 2013]Gast, C (ND), Definition of an aquatic ecosystem, [online] Available at: /about_6307480_definition-aquatic-ecosystem.html [Accessed 10 March, 2013]Min, K (ND), Water Pollution in China, , [online] Available at: /~sustain/suscoasts/krismin.html [Accessed 10 March, 2013]Chatterjee, S, (ND), The battle of water – India’s food insecurity compounded by water scarcity, [online] Available at: /alertnet/blogs/the-battle-for-water/indias-food-insecurity-compounded-b y-water-scarcity [Accessed 10 March, 2013]Snyder, S, (ND), Water Scarcity – The U.S. connection, the Water Project, [online] Available at: /water_scarcity_in_us.asp [Accessed 10 March, 2013]AppendicesPicture 3.0 South-to-north water diversion project in China。

EN 61853-1-2011 PV module performance testing and energy rating - Part 1

EN 61853-1-2011 PV module performance testing and energy rating - Part 1
EUROPEAN STANDARD NORME EUROPÉENNE EUROPÄISCHE NORM
ICS 27.160
EN 61853-1
March 2011
English version
Photovoltaic (PV) module performance testing and energy rating Part 1: Irradiance and temperature performance measurements and power rating (IEC 61853-1:2011)
-2-
Foreword
The text of document 82/613/FDIS, future edition 1 of IEC 61853-1, prepared by IEC TC 82, Solar photovoltaic energy systems, was submitted to the IEC-CENELEC parallel vote and was approved by CENELEC as EN 61853-1 on 2011-03-02. Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. CEN and CENELEC shall not be held responsible for identifying any or all such patent rights. The following dates were fixed: – latest date by which the EN has to be implemented at national level by publication of an identical national standard or by endorsement – latest date by which the national standards conflicting with the EN have to be withdrawn Annex ZA has been added by CENELEC. __________

天津市红桥区2023-2024学年高中学业水平合格性考试模拟考试英语试卷

天津市红桥区2023-2024学年高中学业水平合格性考试模拟考试英语试卷

天津市红桥区2023-2024学年高中学业水平合格性考试模拟考试英语试卷一、单项选择1.—He is an excellent cook.—_______. The fish he cooked makes me mouth-watering.A.I couldn’t agree more B.I don’t agree with youC.I completely disagree D.I’m not sure about you2.The _______ on her face told me that she was in a blue mood.A.appearance B.impression C.attitude D.expression 3.After the cake __________ 20 equal parts, the host took them before the guests.A.divided into B.had been divided intoC.separated into D.had been separated from4.The British people and the American people not only speak the same language but __________ a lot of special customs as well.A.share B.spare C.hold D.carry5.Some people who don’t like to talk much are not necessarily shy;they ______ just be quiet people.A.must B.may C.should D.would6.Who is ______ to be the best football player this year still dependsA.likely B.certain C.possible D.probable7.It is obvious to the students ______ they should get well prepared for their future.A.as B.which C.whether D.that8.We'll have a picnic in the park this Sunday ________ it rains or it's very cold.A.since B.if C.unless D.until9.You can never imagine what great difficulty I had __________ the solution to this problem.A.found B.to find C.finding D.for finding10.A fast food restaurant is the place __________, just as the name suggests, eating is performed quickly.A.which B.what C.there D.where二、完形填空My friend Michelle is blind, but you’d never know it. She makes such good use of her other 11 , including her “sixth sense”, 12 she rarely gives the impression she’s missed anything.Michelle looks after her children pretty much like the rest of us. She knows when to clean the house, she moves around so fast that often the 13 don’t realize she’s blind.I realized this the first time after my six-year-old daughter, Kayla, went to play there. When Kayla came home, she was very 14 about her day. She told me they had baked cookies, played games and done art projects. But she was 15 excited about her finger-painting project.“Mom, guess what?” said Kayla, all smiles. “I learned how to 16 colors today! Blue and red make purple, and yellow and blue make green! And Michelle 17 with us.”To my great 18 , my child had learnt about color from a blind friend!Then Kayla continued, “Michelle told me my 19 showed joy, pride and a sense of accomplishment. She really 20 what I was doing!” Kayla said she had never felt how good finger paints felt 21 Michelle showed her how to paint without looking at her paper.I realized Kayla didn’t know that Michelle was blind. When I told her, she was 22 for a moment. At first, she didn’t believe me. “But Mommy, Michelle knew exactly what was in my picture!” Kayla 23 . And I knew my child was right because Michelle had listened to Kayla describe her artwork. Michelle had also heard Kayla’s 24 in her work.We were silent for a minute. Then Kayla said slowly, “You know, Mommy, Michelle really did ‘see’ my picture. She just used my 25 ” Indeed, she uses a special type of “vision” that all mothers have.11.A.ways B.means C.methods D.senses 12.A.which B.when C.that D.as 13.A.guests B.family C.children D.friends 14.A.excited B.sad C.satisfied D.enjoyed 15.A.especially B.not so C.a little D.not at all16.A.paint B.draw C.create D.mix 17.A.stayed B.painted C.talked D.played 18.A.excitement B.encouragement C.delight D.surprise 19.A.attitude B.color C.picture D.paper 20.A.touched B.distinguished C.saw D.understood 21.A.after B.before C.until D.when 22.A.curious B.quiet C.puzzled D.worried 23.A.cried B.insisted C.complained D.informed 24.A.shortcomings B.difficulties C.pride D.description 25.A.paper B.eyes C.hands D.pens三、阅读理解Global Works provides international travel programs that help teens learn about the world. Costa Rica: Wild AdventureThis service program brings you into a wildlife reserve, where you will do some voluntary work to help protect local animals. After an overnight white-water rafting (漂流) trip, you get to work on sea turtle protection projects on Costa Rican beaches!GRADES: 9—12 DAYS: 21 DESTINA TION: Costa RicaFOCUS: Wildlife ProtectionA VG. GROUP SIZE:18 Students/3 StaffFiji Islands: Sunny Service and Island Immersion (沉浸)Looking for an unforgettable travel program? Join our Fijian family! Experience Fijian life firsthand and contribute to service projects that bring us to the heart of the local community. In this teen volunteer program, you will have a chance to play with the local kids and teach them English!GRADES: 9—12 DAYS: 17 DESTINA TION: Fiji IslandsFOCUS: Working with ChildrenA VG. GROUP SIZE:16 Students/2 StaffPuerto Rico: Hurricane ReliefThis is a hands-on service trip focused on hurricane (飓风) relief and disaster prevention efforts. Home repair work is the heart of this program. The projects we work on will help families and communities to deal with a future hurricane.GRADES: 9—12 DAYS: 8 DESTINA TION: Puerto Rico, United StatesFOCUS: Building ServicesA VG. GROUP SIZE:18 Students/3 StaffFrance: French ImmersionWant more than just a standard France teen travel program? This French adventure has it all! From the Palais de Versailles to the French Alps, your journey introduces you to some of France’s most attractive sites and stories.GRADES: 9—12 DAYS: 21 DESTINA TION: FranceFOCUS: French ImmersionA VG. GROUP SIZE: 18 Students/3 Staff26.What will you do if you are accepted into the travel program in Costa Rica?A.Rebuild homes for local families.B.Enter a local swimming competition.C.Help protect local animals.D.Teach local kids English.27.The students can ______ in Fiji Islands: Sunny Service and Island Immersion.A.teach kids French B.learn about disasterC.work with children D.visit attractive sites.28.Which program will you choose if you have ten days off?A.Puerto Rico: Hurricane Relief.B.Costa Rica: Wild Adventure.C.Fiji Islands: Sunny Service and Island Immersion.D.France: French Immersion.29.All four international travel programs have the same ______.A.target grades B.destination C.group size D.focus30.What is the purpose of the text?A.To encourage students to volunteer.B.To share how to spend holidays.C.To recommend four destinations.D.To introduce four travel programs.A perfectly preserved wreck (沉船) that has lain unnoticed in the icy Baltic Sea for over 500 years has finally been confirmed. The European ship was first observed in 2009, when a sonar(声呐) exploration by the Swedish Maritime Administration (SMA) indicated a large object in the area. However, it was not until early 2019 that researchers from Soton and MMT found evidence of the sunken ship using underwater robotic cameras.When the team observed the pictures of the 60-foot-long shipwreck, they were surprised to discover it was 99 percent complete. The scientists considered that the wreck's good condition is due to its place in the Baltic Seabed, where the oxygen levels are low. Oxygen is key to most ocean life's survival. Therefore, such an environment where the shipwreck stays reduces or completely removes the creatures that feed on rotting wood.So although this ship is contemporary to the times of Christopher Columbus, it shows a remarkable level of preservation after 500 years at the bottom of the sea. Dr. Pacheco-Ruiz, who led the MMT effort, said,“It's almost like it sank yesterday. It's a truly astonishing sight."The scientists are unsure what let the ship sink. However, the ship's guns, which are in their"ready to fire" positions, indicate it may have been the victim of a naval battle. Since the ship dates back to the early 16th century, historians predict it may have sunk during Sweden's three year independence war with its Danish rulers between 1521 and 1523. Alternatively, it could also have been involved in the border dispute (争端) between Russia and Sweden from 1554 to 1557.The ship is by far the best-preserved shipwreck ever found from the Age of Exploration, when Europeans explored the world by sea.What's more exciting is that the ship is similar to the Pinta and La Nina, which Comlubus famously sailed toward North America. The scientists, who continue to observe the shipwreck hope the boat's design will expose some of the technologies available to the Italian explorer during his 1492 voyage of discovery.31.What scientific achievement did Soton 's and MMT' s researchers make?A.Discovering a wreck using sonar.B.Getting the wreck out or icy water.C.Identifying the object found by SMA.D.Making the ancient wreck well preserved.32.What can we learn about the place of the sunken ship?A.It is generally unfit for creatures to live in.B.It is tough for scientists to do research.C.It contains too many harmful gases.D.It is filled with rotting wood.33.Dr. Pacheco-Ruiz's words reflected_________.A.his curiosity about the time when the ship sankB.his amazement at the ship's previous grandnessC.his surprise at the wreck's well-preserved conditionD.his shock at the sinking of the great European ship34.What's Paragraph 4 mainly about?A.The damage to the ship.B.The causes of the ship's sinking.C.The construction of the ship.D.The possible function of the ship. 35.What will the scientists' following research probably focus on?A.Recovering the ancient ships, the Pinta and La Nina.B.Finding every aspect of life in the Age of Exploration.C.Exploring the role the ship played in Columbus' exploration.D.Leaning about Columbus' voyage according to the ship's design.阅读下列短文,根据短文内容用英语回答问题。

外研社2023河南省十四五规划教材_英语阅读写作教程_参考答案

外研社2023河南省十四五规划教材_英语阅读写作教程_参考答案

参考答案Unit 1 People’s Livelihood ............................................................................. 错误!未定义书签。

Passage A How better food safety technology can help minimize waste 错误!未定义书签。

Answers: 1.B 2.A 3.C 4.C 5.CPassage B Aging society – the global trend, its consequences, and the role of technology错误!未定义书签。

Answers: 1.[B] 2.[C] 3.[D] 4.[E] 5.[F] 6.[G] 7.[H] 8.[I] 9.[J] 10.[K]Passage C From barrenness to fruitfulness: Huamao Village's story of ending poverty错误!未定义书签。

Answers: 1. L 2. H 3. E 4. O 5. D 6. A 7. F 8. B 9. N 10. IUnit 2 Culture and Tradition ........................................................................... 错误!未定义书签。

Passage A How culture influences health beliefs .................................... 错误!未定义书签。

Answers: 1.D 2.D 3.C 4.A 5.CPassage B Chinese Medicine to Go Global ............................................. 错误!未定义书签。

牛津英语基础测试7BU

牛津英语基础测试7BU
• Problem solving skills: First, review the problem, clarify the writing theme and requirements, then list the key points, and pay attention to the accuracy and coherence of language expression.
• Difficulty: Moderate in difficulty, mainly assessing the candidate's language expression and organizational ability.
• Problem solving skills: First, review the problem, clarify the requirements of the situation or topic, then list the key points, and pay attention to the accuracy and coherence of language expression. Simultaneously pay attention to the control of voice, intonation, and speech speed.
Oxford English Basic Test 7bu
• Introduction • The content and structure of the Oxford
English Basic Test 7bu • Preparation strategies and suggestions • Preparation resources and materials • Simulated test questions and sample

第五章产品清洁生产

第五章产品清洁生产

完善系统边界
• 数据收集是清单分析工作量最大的环节。 实际上,从评价工作一开始(确定目标和 范围)就需要进行数据收集,直到评价结 果被验证,LCA结束。
• 包括三个方面:
1、设计一套数据收集表格:包括信息有
– 有一般性数据:产品名称、产品产值、年总产值、企 业名称地址等
– 系统输入数据:原材料的名称、质量/体积,能源名称 (电、天然气、煤、汽油等),水的输入(质量体积) 等
– 系统输出数据:产品、副产品(名称、年产量、主要 成分等);固体废弃物(名称:粉煤灰、污泥、边角 料、生活垃圾、包装废弃物等、质量体积)、废水废 气(具体成分)
– 运输数据:运输方式(汽油车、柴油车、船、管道 等),运输距离等信息
• 设计这个表格,是为了获取数据后,填入表格中。
收集数据表格示例
2、收集数据(小组讨论)
用此方法。 – 现场测定、问卷调查、用户访问
目标和范围定义
修正后 数据收集
数据收集准备 数据收集
数据的有效性
分配和循环
将数据与单位过程相连
需要另外 的数据或 单位过程
将数据与功能单位相连 数据汇总
完善系统边界
数据的核算与处理
– 数据收集后,要进行核算、处理。一个简单的 方法就是对每一单元进行物料、能量平衡分析
c) NGOs和国际环境管理机构
国际上采用了LCA方法进行环境管理的公司e.g.
• 3M Company (Minnesota Mining and Manufacturing Company)
• Alcan Rio • Fujitsu • General Motors • Nissan • Toyota • Volvo
将数据与功能单位相连 数据汇总

特定植物油法典标准英文版

特定植物油法典标准英文版

特定植物油法典标准英文版CODEX STANDARD FOR NAMED VEGETABLE OILSCODEX STAN 210-1999The Appendix to this Standard is intended for voluntary application by commercial partners and not for application by governments.1. SCOPEThis Standard applies to the vegetable oils described in Section 2.1 presented in a state for human consumption.2. DESCRIPTION2.1 Product definitions(Note: synonyms are in brackets immediately following the name of the oil)2.1.1 Arachis oil (peanut oil; groundnut oil) is derived from groundnuts (seeds of Arachis hypogaea L.). 2.1.2 Babassu oil is derived from the kernel of the fruit of several varieties of the palm Orbignya spp.2.1.3 Coconut oil is derived from the kernel of the coconut (Cocos nucifera L.).2.1.4 Cottonseed oil is derived from the seeds of various cultivated species of Gossypium spp.2.1.5 Grapeseed oil is derived from the seeds of the grape (Vitis vinifera L.).2.1.6 Maize oil (corn oil) is derived from maize germ (the embryos of Zea mays L.).2.1.7 Mustardseed oil is derived from the seeds of white mustard (Sinapis alba L. or Brassica hirta Moench), brown and yellow mustard (Brassica juncea (L.) Czernajew and Cossen) and of black mustard (Brassica nigra (L.) Koch).2.1.8 Palm kernel oil is derived from the kernel of the fruit of the oil palm (Elaeis guineensis).2.1.9 Palm oil is derived from the fleshy mesocarp of the fruit of the oil palm (Elaeis guineensis).2.1.10Palm olein is the liquid fraction derived from the fractionation of palm oil (described above).2.1.11 Palm stearin is the high-melting fraction derived from the fractionation of palm oil (described above).2.1.12 Palm superolein is a liquid fraction derived from palm oil (described above) produced through a specially controlled crystallization process to achieve an iodine value of 60 or higher.2.1.13 Rapeseed oil (turnip rape oil; colza oil; ravison oil; sarson oil: toria oil) is produced from seeds of Brassica napus L., Brassica campestris L., Brassica juncea L. and Brassica tournefortii Gouan species.2.1.14 Rapeseed oil - low erucic acid (low erucic acid turnip rape oil; low erucic acid colza oil; canola oil) is produced from low erucic acid oil-bearing seeds of varieties derived from the Brassica napus L., Brassica campestris L. and Brassica juncea L., species.2.1.15 Rice bran oil (rice oil) is derived from the bran of rice (Oryza sativa L).2.1.16 Safflowerseed oil (safflower oil; carthamus oil; kurdee oil) is derived from safflower seeds (seeds of Carthamus tinctorious L.).2.1.17 Safflowerseed oil - high oleic acid (high oleic acid safflower oil; high oleic acid carthamus oil; high oleic acid kurdee oil) is produced from high oleic acid oil-bearing seeds of varieties derived from Carthamus tinctorious L.2.1.18 Sesameseed oil (sesame oil; gingelly oil; benne oil; benoil; till oil; tillie oil) is derived from sesame seeds (seeds of Sesamum indicum L.).2.1.19 Soya bean oil (soybean oil) is derived from soya beans (seeds of Glycine max (L.) Merr.).Adopted 1999. Revisions 2001, 2003, 2009. Amendment 2005.2.1.20 Sunflowerseed oil (sunflower oil) is derived from sunflower seeds (seeds of Helianthus annuus L.). 2.1.21 Sunflowerseed oil - high oleic acid (high oleic acid sunflower oil) is produced from high oleic acid oil-bearing seeds of varieties derived from sunflower seeds (seeds of Helianthus annuus L.).2.1.22 Sunflowerseed oil - mid oleic acid (mid-oleic acid sunflower oil) is produced from mid-oleic acid oil-bearing sunflower seeds (seeds of Helianthus annuus L.). 2.2Other definitions2.2.1 Edible vegetable oils are foodstuffs which are composed primarily of glycerides of fatty acids being obtained only from vegetable sources. They may contain small amounts of other lipids such as phosphatides, of unsaponifiable constituents and of free fatty acids naturally present in the fat or oil.2.2.2 Virgin oils are obtained, without altering the nature of the oil, by mechanical procedures, e.g. expelling or pressing, and the application of heat only. They may have been purified by washing with water, settling, filtering and centrifuging only.2.2.3 Cold pressed oils are obtained, without altering the oil, by mechanical procedures only, e.g. expelling or pressing, without the application of heat. They may have been purified by washing with water, settling, filtering and centrifuging only.3. ESSENTIAL COMPOSITION AND QUALITY FACTORS 3.1GLC ranges of fatty acid composition (expressed aspercentages)Samples falling within the appropriate ranges specified in Table 1 are in compliance with this Standard. Supplementary criteria, for example national geographical and/or climatic variations, may be considered, as necessary, to confirm that a sample is in compliance with the Standard.3.1.1 Low-erucic acid rapeseed oil must not contain more than 2% erucic acid (as % of total fatty acids). 3.1.2 High oleic acid safflower oil must contain not less than 70% oleic acid (as a % of total fatty acids). 3.1.3High oleic acid sunflower oil must contain not less than 75% oleic acid (as % of total fatty acids).3.3 Slip point Palm olein not more than 24°C Palm stearin not less than 44°C Palm superolein not more than 19.5°C4. FOOD ADDITIVES4.1 No food additives are permitted in virgin or cold pressed oils. 4.2FlavoursNatural flavours and their identical synthetic equivalents, and other synthetic flavours, except those which are known to represent a toxic hazard. 4.3AntioxidantsINS No. Additive Maximum Use Level 304 Ascorbyl palmitate 305 Ascorbyl stearate 500 mg/kg (Singly or in combination) 307a Tocopherol, d-alpha-307b Tocopherol concentrate, mixed307c Tocopherol, dl-alpha 300 mg/kg (Singly or in combination) 310 Propyl gallate 100 mg/kg 319 Tertiary butyl hydroquinone (TBHQ) 120 mg/kg 320 Butylated hydroxyanisole (BHA) 175 mg/kg 321 Butylated hydroxytoluene (BHT) 75 mg/kgAny combination of gallates, BHA, BHT, or TBHQ not to exceed 200 mg/kg within individual limits 389 Dilauryl thiodiproprionate 200 mg/kg4.4 Antioxidant synergistsINS No.Additive Maximum Use Levelacid GMP330 Citric331(i) Sodium dihydrogen citrate GMPcitrate GMP331(iii) Trisodium384 Isopropylcitrates100 mg/kg (Singly or in combination) 472c Citric and fatty acid esters of glycerol4.5 Anti-foaming agents (oils for deepfrying)INS No.Additive Maximum Use Levelmg/kg900a Polydimethylsiloxane 105. CONTAMINANTS5.1The products covered by this Standard shall comply with the maximum levels of the Codex General Standard for Contaminants and Toxins in Foods (CODEX STAN 193-1995).5.2The products covered by this Standard shall comply with the maximum residue limits for pesticides established by the Codex Alimentarius Commission.6. HYGIENE6.1 It is recommended that the products covered by the provisions of this Standard be prepared and handled in accordance with the appropriate sections of the Recommended International Code of Practice - General Principles of FoodHygiene (CAC/RCP 1-1969), and other relevant Codex texts such as Codes of Hygienic Practice and Codes of Practice.6.2 The products should comply with any microbiological criteria established in accordance with the Principles for the Establishment and Application of Microbiological Criteria for Foods (CAC/GL 21-1997).7. LABELLING7.1 Name of the foodThe product shall be labelled in accordance with the Codex General Standard for the Labelling of Prepackaged Foods (CODEX STAN 1-1985). The name of the oil shall conform to the descriptions given in Section 2 of this Standard.Where more than one name is given for a product in Section 2.1, the labelling of that product must include one of those names acceptable in the country of use.7.2 Labelling of non-retail containersInformation on the above labelling requirements shall be given either on the container or in accompanying documents, except that the name of the food, lot identification and the name and address of the manufacturer or packer shall appear on the container.However, lot identification and the name and address of the manufacturer or packer may be replaced by an identification mark, provided that such a mark is clearly identifiable with the accompanying documents.8. METHODS OF ANALYSIS AND SAMPLING8.1 Determination of GLC ranges of fatty acid compositionAccording to ISO 5508: 1990 and 5509: 2000; or AOCS Ce 2-66 (97), Ce 1e-91 (01) or Ce 1f-96 (02).8.2 Determination of slip pointAccording to ISO 6321: 2002 for all oils; AOCS Cc 3b-92 (02) for all oils except for palm oils; AOCS Cc 3-25 (97) for palm oils only.8.3 Determination of arsenicAccording to AOAC 952.13; AOAC 942.17; or AOAC 986.15.8.4 Determination of leadAccording to; AOAC 994.02; or ISO 12193: 2004; or AOCS Ca 18c-91 (03).fatty acids) (see Section 3.1 of the Standard)Fatty acid Arachisoil BabassuoilCoconutoilCotton-seed oilGrape-seed oilMaize oil Mustard-seed oilPalm oil Palmkernel oilPalmolein2PalmstearinPalmsuperoleinC6:0 ND ND ND-0.7ND ND ND ND ND ND-0.8ND ND NDC8:0 ND 2.6-7.34.6-10.0ND ND ND ND ND 2.4-6.2ND ND NDC10:0ND 1.2-7.65.0-8.0ND ND ND ND ND 2.6-5.0ND ND NDC12:0 ND-0.1 40.0-55.0 45.1-53.2 ND-0.2 ND ND-0.3 ND ND-0.5 45.0-55.0 0.1-0.50.1-0.50.1-0.5 C14:0 ND-0.1 11.0-27.0 16.8-21.0 0.6-1.0 ND-0.3 ND-0.3 ND-1.0 0.5-2.0 14.0-18.0 0.5-1.5 1.0-2.00.5-1.5 C16:0 8.0-14.0 5.2-11.0 7.5-10.2 21.4-26.4 5.5-11.0 8.6-16.5 0.5-4.5 39.3-47.5 6.5-10.0 38.0-43.548.0-74.030.0-39.0 C16:1 ND-0.2 ND ND ND-1.2 ND-1.2 ND-0.5 ND-0.5 ND-0.6 ND-0.2 ND-0.6ND-0.2ND-0.5 C17:0 ND-0.1 ND ND ND-0.1 ND-0.2 ND-0.1 ND ND-0.2 ND ND-0.2ND-0.2ND-0.1 C17:1ND-0.1ND ND ND-0.1ND-0.1ND-0.1ND ND ND ND-0.1ND-0.1NDC18:0 1.0-4.5 1.8-7.4 2.0-4.0 2.1-3.3 3.0-6.5 ND-3.3 0.5-2.0 3.5-6.0 1.0-3.0 3.5-.5.0 3.9-6.0 2.8-4.5 C18:1 35.0-69 9.0-20.0 5.0-10.0 14.7-21.7 12.0-28.0 20.0-42.2 8.0-23.0 36.0-44.0 12.0-19.0 39.8-46.015.5-36.043.0-49.5 C18:2 12.0-43.0 1.4-6.6 1.0-2.5 46.7-58.2 58.0-78.0 34.0-65.6 10.0-24.0 9.0-12.0 1.0-3.5 10.0-13.5 3.0-10.010.5-15.0 C18:3 ND-0.3 ND ND-0.2 ND-0.4 ND-1.0 ND-2.06.0-18.0 ND-0.5 ND-0.2 ND-0.6ND-0.50.2-1.0 C20:0 1.0-2.0 ND ND-0.2 0.2-0.5 ND-1.0 0.3-1.0 ND-1.5 ND-1.0 ND-0.2 ND-0.6ND-1.0ND-0.4 C20:1 0.7-1.7 ND ND-0.2 ND-0.1 ND-0.3 0.2-0.6 5.0-13.0 ND-0.4 ND-0.2 ND-0.4ND-0.4ND-0.2 C20:2ND ND ND ND-0.1ND ND-0.1ND-1.0ND ND ND ND NDC22:0 1.5-4.5 ND ND ND-0.6 ND-0.5 ND-0.5 0.2-2.5 ND-0.2 ND-0.2 ND-0.2ND-0.2ND-0.2 C22:1 ND-0.3 ND ND ND-0.3 ND-0.3 ND-0.3 22.0-50.0 ND ND ND ND NDC22:2ND ND ND ND-0.1ND ND ND-1.0ND ND ND ND NDC24:0 0.5-2.5 ND ND ND-0.1 ND-0.4 ND-0.5 ND-0.5 ND ND ND ND NDC24:1ND-0.3ND ND ND ND ND 0.5-2.5ND ND ND ND NDND - non detectable, defined as ≤ 0.05%1 Data taken from species as listed in Section 2.2 Fractionated product from palm oil.fatty acids) (see Section 3.1 of the Standard) (continued)Fatty acid Rapeseedoil Rapeseedoil (lowerucic acid)Rice branoilSafflower-seed oilSafflowerseedoil (high oleicacid)Sesame-seed oilSoyabeanoilSunflower-seed oilSunflowerseed oil (higholeic acid)Sunflowerseed oil (mid-oleic acid)C6:0 ND ND ND ND ND ND ND ND ND NDC8:0 ND ND ND ND ND ND ND ND ND NDC10:0 ND ND ND ND ND ND ND ND ND NDC12:0 ND ND ND-0.2 ND ND-0.2 ND ND-0.1ND-0.1ND ND C14:0 ND-0.2ND-0.20.1-0.7 ND-0.2ND-0.2 ND-0.1ND-0.2ND-0.2ND-0.1 ND-1C16:0 1.5-6.0 2.5-7.014-23 5.3-8.0 3.6-6.0 7.9-12.08.0-13.5 5.0-7.6 2.6-5.0 4.0-5.5 C16:1 ND-3.0ND-0.6ND-0.5 ND-0.2ND-0.2 ND- 0.2ND-0.2 ND-0.3ND-0.1 ND-0.05 C17:0 ND-0.1ND-0.3ND ND-0.1ND-0.1 ND-0.2ND-0.1ND-0.2ND-0.1 ND-0.05 C17:1 ND-0.1ND-0.3ND ND-0.1ND-0.1 ND-0.1ND-0.1ND-0.1ND-0.1 ND-0.06 C18:0 0.5-3.10.8-3.00.9-4.0 1.9-2.9 1.5-2.4 4.5-6.7 2.0-5.42.7-6.5 2.9-6.2 2.1-5.0 C18:1 8.0-60.051.0-70.038-48 8.4-21.370.0-83.7 34.4-45.517-3014.0-39.475-90.7 43.1-71.8 C18:2 11.0-23.015.0-30.029-40 67.8-83.29.0-19.9 36.9-47.948.0 -59.048.3-74.0 2.1-17 18.7-45.3 C18:3 5.0-13.0 5.0-14.00.1-2.9 ND-0.1ND-1.2 0.2-1.0 4.5-11.0ND-0.3ND-0.3 ND-0.5 C20:0 ND-3.00.2-1.2ND-0.9 0.2- 0.40.3-0.6 0.3-0.70.1-0.60.1-0.50.2-0.5 0.2-0.4 C20:1 3.0-15.00.1-4.3ND-0.8 0.1- 0.30.1-0.5 ND-0.3ND-0.5ND-0.30.1-0.5 0.2-0.3 C20:2 ND-1.0ND-0.1ND ND ND ND ND-0.1ND ND NDC22:0 ND-2.0ND-0.6ND-0.5 ND-1.0ND-0.4 NN-1.1ND-0.70.3-1.50.5-1.6 0.6-1.1 C22:1 > 2.0-60.0ND-2.0ND ND-1.8ND-0.3 ND ND-0.3ND-0.3ND-0.3 NDC22:2 ND-2.0ND-0.1ND ND ND ND ND ND-0.3ND ND-0.09 C24: 0ND-2.0ND-0.3ND-0.6 ND-0.2ND-0.3 ND-0.3ND-0.5ND-0.5ND-0.5 0.3-0.4 C24:1ND-3.0ND-0.4ND ND-0.2ND-0.3 ND ND ND ND NDND - non detectable, defined as ≤ 0.05%1 Data taken from species as listed in Section 2.2 Fractionated product from palm oil.APPENDIX OTHER QUALITY AND COMPOSITION FACTORS This text is intended for voluntary application by commercial partners and not for application by governments. 1. QUALITY CHARACTERISTICS1.1The colour, odour and taste of each product shall be characteristic of the designated product. It shall be free from foreign and rancid odour and taste.Maximum level1.2 Matter volatile at 105°C 0.2 % m/m1.3 Insoluble impurities 0.05 % m/m1.4 Soap content 0.005 % m/m1.5 Iron (Fe):Refined oils 1.5 mg/kgVirgin oils 5.0 mg/kg1.6 Copper (Cu)Refined oils 0.1 mg/kgVirgin oils 0.4 mg/kg1.7 Acid valueRefined oils 0.6 mg KOH/g OilCold pressed and virgin oils 4.0 mg KOH/g OilVirgin palm oils 10.0 mg KOH/g Oil1.8 Peroxide value:Refined oils up to 10 milliequivalents of active oxygen/kg oil Cold pressed and virgin oils up to 15 milliequivalents of active oxygen/kg oil2. COMPOSITION CHARACTERISTICS2.1 The arachidic and higher fatty acid content of arachis oil should not exceed 48g/kg.2.2 The Reichert values for coconut, palm kernel and babassu oils should be in the ranges 6-8.5, 4-7 and 4.5-6.5, respectively.2.3 The Polenske values for coconut, palm kernel and babassu oils should be in the ranges 13-18, 8-12 and 8-10, respectively.2.4 The Halphen test for cottonseed oil should be positive.2.5 The erythrodiol content of grapeseed oil should be more than 2% of the total sterols.2.6 The total carotenoids (as beta-carotene) for unbleached palm oil, unbleached palm olein and unbleached palm stearin should be in the range 500-2000, 550-2500 and 300-1500 mg/kg, respectively.2.7 The Crismer value for low erucic acid rapeseed oil shouldbe in the range 67-70.2.8 The concentration of brassicasterol in low erucic acid rapeseed oil should be greater than 5% of total sterols.2.9 The Baudouin test should be positive for sesameseed oil.gamma oryzanols in crude rice bran oil should be in the range of 0.9-2.1 %.2.10 The3. CHEMICAL AND PHYSICAL CHARACTERISTICSChemical and Physical Characteristics are given in Table 2.4. IDENTITY CHARACTERISTICS4.1 Levels of desmethylsterols in vegetable oils as a percentage of total sterols are given in Table 3.4.2 Levels of tocopherols and tocotrienols in vegetable oils are given in Table 4.5. METHODS OF ANALYSIS AND SAMPLING5.1 Determination of moisture and volatile matter at 105°CAccording to ISO 662: 1998.5.2 Determination of insoluble impuritiesAccording to ISO 663: 2000.5.3 Determination of soap contentAccording to BS 684 Section 2.5; or AOCS Cc 17-95 (97).5.4 Determination of copper and ironAccording to ISO 8294: 1994; or AOAC 990.05; or AOCS Ca 18b-91 (03)5.5 Determination of relative densityAccording to IUPAC 2.101, with the appropriate conversion factor.5.6 Determination of apparent densityAccording to ISO 6883: 2000, with the appropriate conversion factor; or AOCS Cc 10c-95 (02)5.7 Determination of refractive indexAccording to ISO 6320: 2000; or AOCS Cc 7-25 (02)5.8 Determination of saponification value (SV)According to ISO 3657: 2002; or AOCS Cd 3-25 (03)5.9 Determination of iodine value (IV)Wijs - ISO 3961: 1996; or AOAC 993.20; or AOCS Cd 1d-1992 (97); or NMKL 39(2003)The method to be used for specific named vegetable oils is stipulated in the Standard5.10 Determination of unsaponifiable matterAccording to ISO 3596: 2000; or ISO 18609: 2000; or AOCS Ca 6b-53 (01)5.11 Determination of peroxide value (PV)According to AOCS Cd 8b-90 (03); or ISO 3960: 20015.12 Determination of total carotenoidsAccording to BS 684 Section 2.20.5.13 Determination of acidityAccording to ISO 660: 1996, amended 2003; or AOCS Cd 3d-63 (03)5.14 Determination of sterol contentAccording to ISO 12228: 1999; or AOCS Ch 6-91 (97)5.15 Determination of tocopherol contentAccording to ISO 9936: 1997; or AOCS Ce 8-89 (97)5.16 Halphen testAccording to AOCS Cb 1-25 (97).5.17 Crismer valueAccording to AOCS Cb 4-35 (97) and AOCS Ca 5a-40 (97).5.18 Baudouin test (modified Villavecchia test or sesameseed oil test)According to AOCS Cb 2-40 (97).5.19 Reichert value and Polenske valueAccording to AOCS Cd 5-40 (97)5.20 Determination of gamma oryzanol contentDefinitionThis method is used to determine gamma oryzanol content (%) in oils from spectrophotometer absorption measurements at the wavelength of maximum absorption near 315nm.ScopeApplicable to crude rice bran oil.Apparatus-Spectrophotometer - for measuring extinction in the ultraviolet between 310 and 320 nm.-Rectangular quartz cuvettes - having an optical light path of 1 cm.-Volumetric flask - 25mL.-Filter paper - Whatman no.2, or equivalent.Reagents-n-Heptane - Spectrophotometrically pure.Procedure(i)Before using, the spectrophotometer should be properly adjusted to a zero reading filling boththe sample cuvette and the reference cuvette with n-Heptane.(ii)Filter the oil sample through filter paper at ambient temperature.(iii)Weigh accurately approximately 0.02g of the sample so prepared into a 25mL volumetric flask, make up to the mark with n-Heptane.(iv)Fill a cuvette with the solution obtained and measure the extinction at the wavelength of maximum absorption near315nm, using the same solvent as a reference.(v)The extinction values recorded must lie within the range 0.3-0.6. If not, the measurements must be repeated using more concentrated or more diluted solutions as appropriate.CalculationCalculate gamma oryzanol content as follows:Gamma oryzanol content, % = 25 × ( 1 / W ) × A × ( 1 / E)Where W = mass of sample, gA = extinction (absorbance) of the solutionE = specific extinction E1%1cm = 359Table 2: Chemical and physical characteristics of crude vegetable oils (see Appendix of the Standard)Arachis oil Babassu oil Coconut oil Cottonseedoil GrapeseedoilMaize oil Mustard-seed oilPalm oil Palmkernel oilPalm olein PalmstearinRelative density (xoC/water at 20oC) 0.912-0.920x=20oC0.914-0.917x=25oC0.908-0.921x=40oC0.918-0.926x=20oC0.920-0.926x=20oC0.917-0.925x=20oC0.910-0.921x=20oC0.891-0.899x=50oC0.899-0.914x=40oC0.899-0.920x=40oC0.881-0.891x=60oCApparent density (g/ml) 0.889-0.895(50oC)0896-0.898at 40oC0.881-0.885at 60oCRefractive index (ND 40oC) 1.460-1.465 1.448-1.451 1.448-1.450 1.458-1.466 1.467-1.477 1.465-1.468 1.461-1.469 1.454- 1.456at 50oC1.448-1.452 1.458-1.460 1.447-1.452at 60oCSaponification value(mg KOH/g oil)187-196 245-256 248-265 189-198 188-194 187-195 168-184 190-209 230-254 194-202 193-205 Iodine value 86-107 10-18 6.3-10.6 100-123 128-150 103-135 92-125 50.0-55.0 14.1-21.0≥ 56 ≤ 48Unsaponifiablematter (g/kg)≤ 10 ≤ 12 ≤ 15 ≤ 15 ≤ 20 ≤ 28 ≤ 15 ≤ 12 ≤ 10 ≤ 13 ≤ 9Stable carbon isotope ratio * -13.71to-16.36* See the following publications:Woodbury SP, Evershed RP and Rossell JB (1998). Purity assessments of major vegetable oils based on gamma 13C values of individual fatty acids. JAOCS,75 (3), 371-379.Woodbury SP, Evershed RP and Rossell JB (1998). Gamma 13C analysis of vegetable oil, fatty acid components, determined by gas chromatography-combustion-isotope ratio mass spectrometry, after saponification or regiospecific hydrolysis. Journal of Chromatography A, 805, 249-257.Woodbury SP, Evershed RP, Rossell JB, Griffith R and Farnell P (1995). Detection of vegetable oil adulteration using gas chromatography combustion / isotope ratio mass spectrometry. Analytical Chemistry67 (15), 2685-2690.Ministry of Agriculture, Fisheries and Food (1996). Authenticity of single seed vegetable oils. Working Party on Food Authenticity, MAFF, UK.2 Fractionated product from palm oil.2Fractionated product from palm oil.Table 2: Chemical and physical characteristics of crude vegetable oils (see Appendix of the Standard) (continued) Palm superolein Rapeseed oil Rapeseedoil (lowerucic acid)Rice bran oilSafflower-seed oilSafflower-seed oil (high oleic acid)Sesameseed oilSoyabean oil Sunflower-seed oil Sunflower-seed oil (high oleic acid) Sunflower-seed oil (mid-oleic acid) Relative density (xo C/water at 20oC)0.900-0.925 x=40oC 0.910-0.920 x=20oC 0.914-0.920 x=20oC 0.910–0.929 0.922-0.927 x=20oC 0.913-0.919 x=20o C; 0.910-0.916 x=25o C0.915- 0.924x=20oC0.919-0.925 x=20oC0.918-0.923 x=20oC0.909-0.915 x=25o C0.914-0.916 x=20oCApparent density (g/ml)0.897-0.920 0.912-0.914 at 20°CRefractive index (ND 40oC)1.463-1.465 1.465-1.469 1.465-1.467 1.460 –1.473 1.467-1.470 1.460-1.464 at 40o C; 1.466-1.470 at 25o C1.465-1.469 1.466-1.470 1.461- 1.468 1.467- 1.471 at 25oC 1.461- 1.471at 25oCSaponification value (mg KOH/g oil)180-205 168-181 182-193 180 – 199 186-198 186-194 186-195 189-195 188-194 182-194 190-191Iodine value≥ 60 94-120 105-126 90-115 136-148 80-100 104-120 124-139 118-141 78-90 94-122 Unsaponifiable matter (g/kg) ≤ 13≤ 20≤ 20≤ 65≤ 15≤ 10≤ 20≤ 15≤ 15≤ 15<151 Data taken from species as listed in Section 2.2Fractionated product from palm oil.Table 3: Levels of desmethylsterols in crude vegetable oils from authentic samples 1 as a percentage of total sterols (see Appendix 1 of the Standard)Arachis oil Babassu oil Coconutoil Cotton-seed oilGrapeseed oilMaize oilPalm oilPalm oleinPalm kernel oilPalm stearinPalm superoleinCholesterol ND-3.8 1.2-1.7ND-3.0 0.7-2.3 ND-0.5 0.2-0.6 2.6-6.7 2.6-7.0 0.6-3.7 2.5-5.02.0-3.5Brassicasterol ND-0.2 ND-0.3 ND-0.3 0.1- 0.3 ND-0.2 ND-0.2 NDNDND-0.8 NDNDCampesterol 12.0-19.8 17.7-18.7 6.0-11.2 6.4-14.5 7.5-14.0 16.0-24.1 18.7-27.5 12.5-39.0 8.4-12.7 15.0-26.0 22.0-26.0 Stigmasterol 5.4-13.2 8.7-9.2 11.4-15.6 2.1-6.8 7.5-12.0 4.3-8.0 8.5-13.9 7.0-18.9 12.0-16.6 9.0-15.0 18.2-20.0 Beta-sitosterol 47.4-69.0 48.2-53.9 32.6-50.7 76.0-87.1 64.0-70.0 54.8-66.6 50.2-62.1 45.0-71.0 62.6-73.1 50.0-60.0 55.0-70.0 Delta-5-avenasterol 5.0-18.8 16.9-20.4 20.0-40.7 1.8-7.3 1.0-3.51.5-8.2 ND-2.8 ND-3.0 1.4-9.0 ND-3.0 0-1.0Delta-7-stigmastenol ND-5.1 ND ND-3.0 ND-1.4 0.5-3.5 0.2-4.2 0.2-2.4 ND-3.0 ND-2.1 ND-3.0 0-0.3 Delta-7-avenasterol ND-5.5 0.4-1.0 ND-3.0 0.8-3.3 0.5-1.5 0.3-2.7 ND-5.1 ND-6.0 ND-1.4 ND-3.0 0-0.3 OthersND-1.4 NDND-3.6 ND-1.5 ND-5.1 ND-2.4 NDND-10.4 ND-2.7 ND-5.0 0-2.0Total sterols (mg/kg)900-2900 500-800 400-1200 2700-6400 2000-7000 7000-22100 300-700 270-800 700-1400 250-500 100Rapeseed oil (low erucic acid)Rice bran oil Safflowerseed oilSafflowerseed oil (high oleic acid)Sesameseed oilSoyabean oilSunflowerseed oilSunflowerseed oil (high oleic acid)Sunflowerseed oil (mid-oleic acid)Cholesterol ND-1.3 ND - 0.5 ND- 0.7 ND-0.5 0.1-0.5 0.2-1.4 ND-0.7 ND-0.5 0.1-0.2 Brassicasterol 5.0-13.0 ND ND-0.4 ND-2.2 0.1-0.2 ND-0.3 ND-0.2 ND-0.3 ND-0.1 Campesterol 24.7-38.6 11.0 – 35.0 9.2-13.3 8.9-19.9 10.1-20.0 15.8-24.2 6.5-13.0 5.0-13.0 9.1-9.6 Stigmasterol 0.2-1.0 6.0 –40.0 4.5-9.6 2.9-8.9 3.4-12.0 14.9-19.1 6.0-13.0 4.5-13.0 9.0-9.3 Beta-sitosterol 45.1-57.9 25.0 – 67.0 40.2-50.6 40.1-66.9 57.7-61.9 47.0-60 50-7042.0-70 56-58Delta-5-avenasterol 2.5-6.6 ND – 9.9 0.8-4.8 0.2-8.9 6.2-7.8 1.5-3.7 ND-6.9 1.5- 6.9 4.8-5.3 Delta-7-stigmastenol ND-1.3 ND – 14.1 13.7-24.6 3.4-16.4 0.5-7.6 1.4-5.2 6.5-24.0 6.5-24.0 7.7-7.9 Delta-7-avenasterol ND-0.8 ND – 4.4 2.2-6.3 ND-8.3 1.2-5.6 1.0-4.6 3.0-7.5 ND-9.0 4.3-4.4 OthersND-4.2 ND 0.5-6.4 4.4-11.9 0.7-9.2 ND-1.8 ND-5.3 3.5-9.5 5.4-5.8 Total sterols (mg/kg)4500-1130010500-310002100-4600 2000-4100 4500-19000 1800-4500 2400-5000 1700-5200ND - Non-detectable, defined as ≤ 0.05%1 Data taken from species as listed in Section 2. 2Fractionated product from palm oil.Table 4: Levels of tocopherols and tocotrienols in crude vegetable oils from authentic samples (mg/kg) (see Appendix 1 of the Standard)Arachis oil Babassu oil Coconutoil Cotton-seed oilGrapeseed oilMaize oilPalm oilPalm oleinPalm kernel oilPalm stearinPalm superoleinAlpha-tocopherol 49-373 ND ND-17 136-674 16-38 23-573 4-193 30-280 ND-44 ND-100 130-240 Beta-tocopherol ND-41 ND ND-11 ND-29 ND-89 ND-356 ND-234 ND-250 ND-248 ND-50 ND-40 Gamma-tocopherol 88-389 NDND-14 138-746 ND-73 268-2468 ND-526 ND-100 ND-257 ND-50 ND-40Delta-tocopherol ND-22 ND ND ND-21 ND-4 23-75 ND-123 ND-100 ND ND-50 ND-30 Alpha-tocotrienol ND 25-46 ND-44 ND 18-107 ND-239 4-336 50-500 ND 20-150 170-300 Gamma-tocotrienol ND32-80 ND-1 ND115-205 ND-450 14-710 20-700 ND-60 10-500 230-420Delta-tocotrienol ND 9-10 ND ND ND-3.2 ND-20 ND-377 40-120 ND 5-150 60-120 Total (mg/kg)170-1300 60-130ND-50380-1200 240-410 330-3720 150-1500 300-1800 ND-260 100-700 400-1400Rapeseed oil (low erucicacid)Rice bran oil Safflowerseed oil Safflowerseed oil (high oleic acid) Sesameseed oil Soyabean oilSunflowerseed oilSunflower-seed oil (high oleic acid)Sunflower-seed oil (mid-oleic acid)Alpha-tocopherol 100-386 49-583 234-660 234-660 ND-3.3 9-352 403-935 400-1090 488-668Beta-tocopherol ND-140 ND – 47 ND-17 ND-13 ND ND-36 ND-45 10-35 19-52Gamma-tocopherol 189-753 ND – 212 ND-12 ND-44 521-983 89-2307 ND-34 3-302.3-19.0Delta-tocopherol ND-22 ND-31 NDND-6 4-21 154-932 ND-7.0 ND-17 ND-1.6 Alpha-tocotrienol ND ND – 627 ND ND ND ND-69 ND ND ND Gamma-tocotrienol ND142 – 790ND-12ND-10ND-20ND-103NDNDNDDelta-tocotrienol ND ND –59 ND ND ND ND ND ND ND Total (mg/kg)430-2680 191 - 2349 240-670 250-700 330-1010 600-3370 440-1520 450-1120 509-741ND - Non-detectable.Note: Maize oil also contains ND-52 mg/kg beta tocotrienol.。

milankovitch cycles and glaciation托福阅读解析

milankovitch cycles and glaciation托福阅读解析

milankovitch cycles and glaciation托福阅读解析Milankovitch cycles are geological phenomena that have significant impacts on Earth"s climate, particularly in relation toglaciation.Understanding these cycles is crucial for students preparing for the TOEFL reading section.In this document, we will delve into the details of Milankovitch cycles and glaciation, providing a comprehensive analysis that will help you excel in your TOEFL reading comprehension.Milankovitch Cycles and Glaciation: TOEFL Reading Analysis1.Introduction to Milankovitch CyclesMilankovitch cycles refer to the long-term variations in Earth"s orbit and axial tilt.These cycles are named after Serbian geophysicist Milutin Milankovitch, who proposed the theory in the early 20th century.The three main components of Milankovitch cycles are:a.Eccentricity: This cycle describes the changes in the shape of Earth"s orbit around the Sun, which occurs over a period of about 100,000 years.b.Obliquity: Obliquity refers to the tilt of Earth"s axis, which varies between 22.1 and 24.5 degrees over a period of approximately 41,000 years.c.Precession: Precession is the wobbling motion of Earth"s axis, which completes a cycle every 26,000 years.2.Impact on GlaciationMilankovitch cycles play a crucial role in the formation and retreat of ice sheets, which are major contributors to glaciation.The cycles affect the distribution and intensity of solar radiation received by Earth, leading to changes in climate.a.Eccentricity and Glaciation: Higher eccentricity results in greater differences in the distance between Earth and the Sun during different seasons.This can lead to more extreme climate conditions, favoring the growth of ice sheets during certain phases of the cycle.b.Obliquity and Glaciation: A higher tilt (obliquity) increases the seasonal contrast in solar radiation, affecting the distribution of ice sheets.A higher tilt favors glaciation in the Northern Hemisphere, while a lower tilt has the opposite effect.c.Precession and Glaciation: The precession cycle influences the timing of Earth"s seasons.When the Northern Hemisphere experiences summer during perihelion (the point in Earth"s orbit closest to the Sun), it receives more solar radiation, leading to increased glaciation.3.TOEFL Reading StrategiesTo effectively answer questions related to Milankovitch cycles and glaciation on the TOEFL reading section, consider the following strategies:a.Focus on cause-and-effect relationships: Understanding how the different components of Milankovitch cycles influence glaciation is key to comprehending the passage.b.Pay attention to detail: Look for specific examples and data that support the relationship between Milankovitch cycles and glaciation.c.Skim and scan: Skim the passage to get a general idea, then scan for specific information to answer the questions.4.Practice QuestionsTo reinforce your understanding, practice answering the following sample TOEFL reading questions:a.According to the passage, which component of Milankovitch cycles has the shortest cycle period?b.How does obliquity affect the distribution of ice sheets in the Northern Hemisphere?ConclusionMilankovitch cycles and glaciation are complex topics that require careful attention to detail.By understanding the key concepts and applying effective reading strategies, you can improve your comprehension and perform well on TOEFL reading questions related to this subject.Remember to practice with sample questions and continue studying to enhance your knowledge of Earth"s fascinating geological processes.。

GAC002 Essay

GAC002 Essay

GAC002 Assessment Event 4: Academic EssayCompare and contrast:Journeys and TravelStudent’s Name: Joy ChenStudent ID#:Teacher: IrinaDue Date: 7 January 2016Word Count: 605Question:When travelling to a foreign country, some people like staying in internationally-recognized hotels, while others prefer to stay in small local hotels. Compare and contrast these two choices.Nowadays, traveling abroad is thought as a kind of modern. One of the most important things before going abroad is to book hotels. Let me tell the differences between the internationally-recognized hotel and the small local one.Environment is the first thing we will consider when we are choosing hotels. The internationally-recognized hotels have a lot of rooms, but the small local hotels only have a few rooms. So the internationally-recognized hotel is much more noisy and crowded than the small local ones. However, it is not safe if we don’t know the background of the small local hotels. The style of rooms in internationally-recognized hotels is simpler than it in small local ones. Whenever we go, if we live in the internationally-recognized hotels, the styles of rooms are almost the same. If we live in small local hotels, we can see many different local characteristics, enjoy local culture and customs. Every time we go to a new country, we can experience another kind of feeling. It makes us feel novel and surprised.Secondly, service is also important. Without doubt, the service in the internationally-recognized hotels is comprehensive and thoughtful. For example, you can tell the front desk about morning call, then every morning you can hear it at the same time you request, you don’t need to worry about your phone forget to wake you up. If you need some daily supplies, you can also call the front desk and they will send it to your room after a few minutes. When you live in the internationally-recognized hotels, if you want to know the information about travelling, don’t worry about your language problem, there may have Chinese speakers help you, to let you get the answers at once. However, most of the small local hotels do not have front desks. You need to get all the things by yourself instead of room delivery service so that the hosts will make a good impression to you. If you have questions about travelling, you can only ask the local people. If you don’t understand their local language, you need to find the places by yourself. It wastes a long time.The foods in different hotels are also different. The internationally-recognized hotels provide many kinds of food to suit people from different cities, such as Chinese food, Japanese food and so on. We can choose which food we like by ourselves. In the small local hotels, the host will also provide the meals. But there won’t be so many choices for you to choose. Some of them even prepare the same food for everyone. Although you can have a try of their local foods, it is embarrassed if you really couldn’t adapt them.The last one is people who live in different hotels. In the internationally-recognized hotels, it is easy for you to meet the people from the same country as you. You can ask questions to them, and quickly understand what they are talking about. Although the small local hotels have a few persons, it is a good chance for you to make friends with the host or the people from different countries. And you can also know about the local culture from the host to enrich your knowledge and enlarge your views.Of course, internationally-recognized hotel and small local hotel both have their advantages and disadvantages. But in my opinion, internationally-recognized hotel is much more suitable for the old or the people who first go to the foreign countries. You can try the small local one if you are familiar with that country or you think you have enough energy to try the new situation.ReferencesMary Norton(2015),“How to Choose a Hotel”[online], Available from: /travel/how-to-choose-a-hotel-2 [Accessed 16 December 2015]WORLD HOTELS (2013),“The Advantages of Boutique Hotels” [online], Available from: /boutique-hotels/ [Accessed 16 December 2015]Caroline Gutierrez (2014), “How to Choose a Hotel” [online], Available from: /travel_guide/31723/hotels_and_hostels/how_to_choose_ a_good_hotel.html [Accessed 16 December 2015]Deborah Ng (2015), “The Difference between a Hostel and a Hotel” [online], Available from: /what-is-the-difference-between-a-hostel-and-a-hotel.htm [Accessed 16 December 2015]The Independent Traveler (2014), “Choosing a Hotel” [online], Available from: /travel-tips/hotel-and-b-and-b/choosing-a-hotel [Accessed 16 December 2015]Greatlocalhotels (2014), “The Different Advantages of Having a Good Hotel Accommodation”[online], Available from:/2014/08/11/the-different-advantages-of-having-a-goo d-hotel-accommodation/ [Accessed 16 December 2015]WikiHow (2014), “How to Choose a Hotel for Your Conference” [online], Available from: /Choose-a-Hotel-for-Your-Conference[Accessed 16 December 2015]PlanIntroductionNowadays, traveling abroad is thought as a kind of modern. One of the most important things before going abroad is to choose the hotels which are suitable for you. It can not only make you stay comfortably, but also effect the mood during whole trip. Let me tell the differences between the internationally-recognized hotel and the small local one.Paragraph 1Topic Sentence:Compare the environment between the internationally-recognized hotel and the small local one.Supporting Sentence:1、Location ( Safety, Noise) ——I.R.H. & S.L.H.2、Room (Characteristic, Number) ——S.L.H.Paragraph 2Topic Sentence:Compare the service between the internationally-recognized hotel and the small local one. Supporting Details:1、Front desk (Morning call, Language, Get the information, Room delivery service) ——I.R.H. & S.L.H.2、Food (Taste, Kind) ——I.R.H. & S.L.H.Paragraph 3Topic Sentence:Compare the people live in the internationally-recognized hotel or the small local one. Supporting Sentence:1、Ask questions ——I.R.H.2、Know local culture ——S.L.H.3、Make friends ——S.L.H.Conclusion:Internationally-recognized hotel and small local hotel both have their advantages and disadvantages. But in my opinion, internationally-recognized hotel is much more suitable for the old or the people who first go to the foreign countries. You can try the small local one if you are familiar with that country or you think you have enough energy to try the new situations.First DraftNowadays, traveling abroad is thought as a kind of modern. One of the most important things before going abroad is to book hotels. Let me tell the differences between the internationally-recognized hotel and the small local one.Environment is the first thing we will consider when we are choosing hotels. The internationally-recognized hotels have a lot of rooms, but the small local hotels only have a few rooms. So the internationally-recognized hotels will be much more noisy and crowded than the small local ones. However, it will not be safe if we don’t know the background of the small local hotels.The style of rooms in internationally-recognized hotels is simpler than it in small local ones. Whenever we go, if we live in the internationally-recognized hotels, the styles of rooms are almost the same. If we live in small local hotels, we can see many different local characteristics, enjoy local culture and customs. Every time we go to a new country, we can experience another kind of feeling. It makes us feel novel and surprised.Secondly, service is also being concerned. Without doubt, the service in the internationally-recognized hotels is comprehensive and thoughtful. For example, you can tell the front desk about morning call, then every morning you can hear it at the same time you request, you don’t need to worry about your phone forget to wake you up. If you need some daily supplies, you can also call the front desk and they will send it to your room after a few minutes. When you live in the internationally-recognized hotels, if you want to know the information about travelling, don’t worry about your language problem, there may have Chinese speakers help you, to let you get the answers at once.However, most of the small local hotels do not have front desks. You need to get all the things by yourself instead of room delivery service so that the hosts will make a good impression to you. If you have questions about travelling, you can only ask the local people. If you don’t understand their local language, you need to find the places by yourself. It wastes a long time.The foods in different hotels are also different. The internationally-recognized hotels provide many kinds of food to suit people from different cities, such as Chinese food, Japanese food and so on. We can choose which food we like by ourselves.In the small local hotels, the host will also prevent the meals. But there won’t be so many choices for you to choose. Some of them even prepare the same food for everyone. Although you can have a try of their local foods, it is embarrassed if you really couldn’t adapt them.The last one is people who live in different hotels. In the internationally-recognized hotels, it is easy for you to meet the people from the same country as you. You can askquestions to them, and quickly understand what they are talking about. Although the small local hotels have a few persons, it is a good chance for you to make friends with the host or the people from different countries. And you can also know about the local culture from the host to enrich your knowledge and enlarge your views.Of course, internationally-recognized hotel and small local hotel both have their advantages and disadvantages. But in my opinion, internationally-recognized hotel is much more suitable for the old or the people who first go to the foreign countries. You can try the small local one if you are familiar with that country or you think you have enough energy to try the new situation.。

0250-20000 Rev 11

0250-20000 Rev 11

Page: 2 of 69 01/30/2015
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Abstract The Leipzig Corpora Collection Monolingual corpora of standard size

Abstract The Leipzig Corpora Collection Monolingual corpora of standard size

The Leipzig Corpora CollectionMonolingual corpora of standard sizeChris Biemann, Gerhard Heyer, Uwe Quasthoff and Matthias RichterDepartment of Natural Language ProcessingFaculty of Mathematics and Computer ScienceUniversity of Leipzig{biem, quasthoff, heyer, richter}@informatik.uni-leipzig.deAbstractWe describe the Leipzig Corpora collection (LCC), a freely available resource for corpora and corpus statistics covering more than 20 languages at the time being. Unified format and easy accessibility encourage incorporation of the data into many projects and render the collection a useful resource especially in multilingual settings and for small languages. The preparation of monolingual corpora of standard sizes from different sources (web, newspaper, Wikipedia) is described in detail.1 The Leipzig Corpora Collection1.1 Purpose of the CollectionOpen access to basic language resources is a crucial requirement for the development of language technology, especially for languages with few speakers and scarce resources. With our corpora, we aim at providing a data basis for the development and testing of (mainly language-independent) algorithms for various NLP applications, mainly to build language models from unlabeled data. For comparative language studies, corpora of standard size are ideal for measuring and systematically comparing non-linear corpus parameters such as vocabulary growth rates, large-scale distributions and other typological characteristics.1.2 Corpus in German and standard size corpora for 15 languagesCollecting German wordlists and texts by the Natural Language Processing group at the University of Leipzig since the 1990s has lead to the production and publication of constantly growing corpora of German in 1998, 2000 and 2003, 2005 and 2007, available via our website1. The methods for corpus compiling, cleaning and processing have evolved since then, recent versions of these have been published in (Biemann et al., 2004). (Quasthoff et al., 2006) introduces an application of this language-independent technology and the notion of standard sized corpora for 15 languages, namely Catalan, Danish, Dutch, English, Estonian, Finnish, French, German, Italian, Japanese, Korean, Norwegian, Sorbian, Swedish and Turkish. For the international version of the Website2, see Table 3 in the appendix for a list of sizes and sources.1.3 Comparable resources for 50+ languagesFor a corpus project covering 50 or more languages, we now propose and implement the following guidelines. All text for different languages should1 http://wortschatz.uni-leipzig.de2 rmatik.uni-leipzig.de/1.have comparable origin (for instance newspaper texts),2.be processed in a similar way, and hence3.offer equivalent possibilities for the application of statistical parameters.The processing steps are described below in more detail.The available electronic material for different languages varies in size. In contrast to that, many numeric features (like the number of significant word co-occurrences) depend on the size of the corpus in a non-linear way. Thus, for exact numerical language comparison and to detect these dependencies, corpora of similar size are required. Hence, we defined standard sizes with reference to a certain number of sentences. Measuring corpus size in number of sentences rather than in number of words is motivated by the amount of information: While isolating languages like English tend to exhibit sentences with more words than e.g. polysynthetic languages like Greenlandic (resulting in the fact that the average English sentence length is higher), we assume that by average the amount of information per sentence is comparable.For each language, we produce corpora of fixed sizes up to the limit given by the availability of resources. These standard sizes are defined by 10,000, 30,000, 100,000, 300,000, 1 million, 3 million sentences and so on. The difference between size steps is a factor of roughly 3. This allows a comparison of parameters for different sizes for corpora of each language.For comparison of different kinds of text, we collect three types of corpora for a language: Newspaper texts, randomly selected web text and Wikipedia articles. There are several reasons for collecting these three kinds of text separately: First, they differ in availability. Second, before one compares different languages using statistical parameters the different kinds of text in one language give a good indication of the variance of that parameter within one language. Moreover, corpora of various genres can be relevant for different applications such as terminology extraction. Also, quality and topic coverage of the material varies.1.3 Release Plan for 2007In the first half of 2007, a web corpus comprising 14 million Icelandic sentences has been launched3. The corpus, named Íslenskur Orðasjóður, was collected by the National and University Library of Iceland. For the second half of 2007, a number of corpora is due for release: Basque, Chinese, Hungarian4, Russian, Mexican Spanish and a freely available alternative to LDC’s English Gigaword corpus.2 Collecting DataThe process of corpus production uses only very limited language-specific knowledge. For collecting different kinds of text, different collection methods are employed. Later, these different kinds of text will not be merged into one corpus per language, but different corpora will be produced instead.2.1 Crawling newspapersGetting hand at newspaper texts can be done in several ways: One can:1. ask the publishers to supply material,2. use releases of newspaper collections from CD/DVD,3. or crawl newspaper content from the web.3 http://wortschatz.uni-leipzig.de/ws_ice/4 based on the web corpus from http://mokk.bme.hu/resources/webcorpus, see (Halácsy et al., 2004)The latter approach allows the collection of large amounts of text with rather limited resources.For obtaining large amounts of text in a specific language, stop word queries to news search engines can be used to cover virtually all material visible to the search engine. Alternatively, collections of RSS feeds5 provided by newspapers are a veritable source. In our approach we combine both options.The use of crawling for a research project raises legal and ethical questions. While it is clear that storing whole texts and allowing retrieval on them would be an unacceptable violation of copyright, search engines do in fact crawl the web, store the obtained data and allow searches on this data, including text snippets in their output. To avoid copyright restrictions, we partition the collected text into sentences and scramble these up in order to destroy the original and coherent structure that would be needed to reproduce the copyrighted material. With respect to the German Urheberrecht, an equivalent of copyright, this approach has been considered safe.2.2 Using WikipediaThe Wikipedia community aims at compiling encyclopaedias in all major languages of the world. As of now, Wikipedias in 253 languages have been started, with 88 of these containing more than 5.000 articles6. Recent research has already exploited the structured and semantic portions of Wikipedia in several ways (see e.g. (Milne et al. 2006) and (Gabrilovich and Markovitch, 2007)). We take advantage from this huge collection of (un)structured textual data. When collecting corpora we take only the plain text portion of the article namespace and exclude the user‘s private pages, discussions on articles and also all kinds of meta data. Of course, meta data could be extracted and used to enrich the results easily, but exceeds the scope of the current work.Wikipedia‘s content can be downloaded safely as a whole in at least two forms. There are XML-dumps made for setting up a fully working Wikipedia mirror. These dumps, however, contain very complex Wiki markup and the only complete parser for this markup known so far is deeply integrated in the MediaWiki engine. So it seems more feasible to start with the HTML dumps7 and to extract the article content of all files that are not in a special namespace.The compressed dump files for the April 2007 static versions of all Wikipedias are approximately 20 Gigabytes in size and the extracted plain text files are in the same order of magnitude. An overview for smaller languages is given in Table 4 in the appendix. For most Wikipedias, only a fraction of this amount is text in the language supposed to be actually covered. Starting with word lists for 26 already known languages from the Leipzig Corpus Collection and the Acquis Communautaire corpus version 2.2 (Steinberger et al. 2006) we clean sources from undesired content by language identification and extract word lists for a substantial number of the remaining languages. This is a very important step when trying to separate closely related languages such as Afrikaans and Dutch, Sicilian and Italian, Bokmål and Nynorsk. As a rule of thumb, derived from the ratios of already known languages, we can expect to obtain a pure language corpus sized between a quarter and half the number of sentences identified as “non foreign” in pass 1.5 E.g. 6 /wiki/List_of_wikipedias (accessed: 30 July 2007)7 available from /2.3 Crawling the webThe Findlinks project was started in 2003, see (Heyer and Quasthoff, 2004). The original purpose of the project was to discover the structure of the web and make this available as a web guide via the Nextlinks browser companion. Findlinks implements a distributed webcrawler in a client-server architecture. The client runs on standard PCs and utilizes a computer‘s spare bandwidth and processing resources. It is extensible by plug-ins to perform various tasks, among them language separation by specific trigrams and extending this text collection for specific or unknown languages. Even though most of the online material is in the major languages, a substantial amount of text gets retrieved by the crawler for less widespread languages. We encourage to download the crawler8 and to take part in the collection of corpora.2.4 Data CleaningWhile there are different character encodings for different languages, all data is converted to UTF-8. Before doing so, one has to identify the character set of the source. In the case of Wikipedia, we already have UTF-8. In all other cases we trust the character set entry in the corresponding HTML tag. If this character set entry turns out to be wrong, the corresponding text will be eliminated during the cleaning process.•Sentence splitting. For sentence boundary detection we useo HTML tags for detecting the end of headlines and block level elements such as paragraphs,o punctuation marks,o special rules for numbers and dates, ando a general abbreviation list for the detection of non-boundaries. The problem of varying abbreviations for different languages will be dealt with by a forthcoming abbreviation detector, inspired by (Kiss and Strunk, 2006).•Word segmentation. For Chinese and Japanese, freely available word segmentation tools are applied. We use HLSegment9 for Chinese and MeCab10 for Japanese. •Cleaning by foreign language identification. All corpora collected from the web contain undesired material. First, we want to remove foreign language sentences. For this we usea language identifier based on the most frequent 5000 words for each of the knownlanguages. With the help of this list, we get a probability for the sentence to belong to a language. A sentence is assigned to the language of maximal probability, if the following conditions are fulfilled:o The result is reliable, i.e. the probability for the first language is above some threshold and the probability for the second language is much less than for the first language.o The sentence contains at least two words from the list of the chosen language.On average, for a corpus in a language other than English, about 10% or more of different language material can be anticipated.•Pattern based cleaning. Due to the collection methods, the sentence splitter usually returns non-sentences having different sources. With pattern based methods, most of the non-sentences can be removed. Among the rules we apply, the ones listed in Table 1 with Icelandic examples are the most productive ones.8 http://wortschatz.uni-leipzig.de/nextlinks/index_en.html9 /cgi-bin/download/count.asp?id=8&url=110 •Removal of duplicate sentences. Copies of sentences need to be removed because many texts are available in parts or as a whole from more than one URL.•Random selection for corpora of standard sizes. In the last step each sentence is assigned a random number thus introducing a new order for all sentences of the whole corpus. From this randomly numbered corpus, the desired number of sentences is taken in this new ordering. This method ensures that a corpus of standard size includes all corpora of smaller standard sizes.Rule Description Examples Hitstoo many periods unseparated sentencesgluing words together orincomplete sentencesending with “…” Upp í flugvél, burt úr kuldanum......1,300,000link artifacts or | navigation boilerplates Example: Forsíða > Túlkanir ogþýðingar > Þýðingar Heim | Hafasamband | Veftré Leitarvél:Alþjóðahús Gagnlegarupplýsingar Algengar220,000begins with number dot blank enumeration items 1. innkaup hlutu: Gláma/Kímarkitektar ehf., Laugavegi 164.200,000too many capital letters or digits in a row headlines glued togetherwith sentences orenumerationsLEIÐBEININGAR UMNOTKUN Gríptu um borðana ogtogaðu niður og í sundur.7.3.2005 Tilkynning frá Högumhf. 7.3.2005 VerslunarreksturSkeljungs komin til 10-1125.10.2004 Tilkynning fráHögum hf. 22.6.2004 Tilkynning(...)198,000contains too many “:”s Lists, e.g. of sportsresultssteini :: Comment :: 10hugmyndir af bloggi.166,000too many {/&:}s itemizations Ferðaönd - Svara - Vitna í -Stelpið 31/10/05 - 0:25 Soffíafrænka - Svara - Vitna í - aulinn31/10/05 - 8:39 Kona í bleikumslopp með rúllur í hárinu.153,000expression too short incomplete sentences 10. Valur ?_\åv,c ?100,000too many “_”s in a row clozes a) ________________, b)__________________ og c)__________________ Hvaðmyndast í kynhirslunum aðlokum?58,000Table 1: Text cleaning rules used for dropping undesired sentences, their rationale and impact on an Icelandic corpus of 19,112,187 sentences, c.f. (Hallsteinsdóttir et al. 2007)3 Data storage and access3.1 Corpus ProcessingThe resulting sentences are processed with the tinyCC corpus production engine11. A full text index for words and their numeric position in sentences is built. The number of occurrences of each type is counted and two types of word co-occurrences are calculated with the log-likelihood ratio (Dunning, 1993): at sentence level (1% error threshold) and as immediate neighbours (5% error threshold).3.2 Database structureAll data is produced in two formats, first a plain text format suitable for immediate access with the text editor of choice and the standard text oriented tools, then as a MySQL schema in cross platform binary compatible MYISAM format for access by database queries and with the corpus browser (see below). Both formats contain exactly the same data (except the table meta) listed in Table 2.table name fields Contentmeta attribute, value meta data about the corpus, needed by the corpusbrowser, only in the database versionwords w_id, word, freq words and their frequency countssentences s_id, sentence sentences full textsources so_id, source names of sourcesinv_w w_id, s_id, pos positions of words in sentencesinv_so s_id, so_id index for sentences in sourcesco_n w1_id, w2_id, freq, sig left word, right word, neighbour frequency andlog-likelihood ratioco_s w1_id, w2_id, freq, sig word1, word2, co-occurrence frequency and log-likelihood ratioTable 2: Structure of the database: table names, their fields and functionality3.3 Web-based accessThe corpora released on the LCC-DVD version 1.0 can also be browsed via our portal12. For any word in the corpus, the following information is displayed:•The word and its frequency•Three sample sentences•co-occurring words•within the same sentence and•as immediate left and right neighbour• a co-occurrence graph displaying co-occurrences at sentence levelAll information, as well as further data available only for some languages like synonyms or base form reduction, is also accessible as SOAP-based web services13 for a seamless integration into customized applications.11 Available at http://wortschatz.uni-leipzig.de/~cbiemann/software/TinyCC2.html12 rmatik.uni-leipzig.de/13 List of web services at http://wortschatz.uni-leipzig.de/axis/servlet/ServiceOverviewServlet, ask for more3.4 Using the Corpus BrowserThere is a stand-alone corpus browser available for download. In the default configuration it shows all information as described in the previous section. But in contrast to the web interface, the browser can be tailored completely to the needs of a user. Both, the SQL statements for selecting the data to be shown, and the presentation style (for instance, one item per line or all items comma separated on one line) can be defined in a configuration file with a simple, XML-based language which is explained in the browser documentation14. This allows user-defined views on the database. As an example, the MySQL full text index can be used to turn the Corpus Browser into a search engine.Figure 1: CorpusBrowser showing Iraagi (Iraq) in Estonian corpus ee300k.14 http://corpora.uni-leipzig.de/download/LCCDoc.pdf3.5 Inserting and browsing customised dataBecause of the loose coupling of the Corpus Browser with the underlying database by externally kept database queries, it is straightforward to modify the underlying database. Especially, if additional information is available at word or at sentence level, it is possible to include it in the presentation. The database structure given in Table 2 can be easily adopted to include more relevant information, for instance:•second-order co-occurrence: Here, words are similar if they share many (first-order) co-occurrences•sentence similarity: Sentences are similar if they share many content words. •sentences with POS-tagging or chunking•sentences with any other annotation like proper names, disambiguation etc. •subject areas for words or sentences• a thesaurus structure for words and data like WordNet4 Sample language statisticsFigure 2 below illustrates the number of distinct word forms, neighbour-based and sentence-based word co-occurrences for different corpus sizes and different languages. The values for Finnish (bold) are shown in comparison to the average of 12 European languages (thin lines).Different properties are clearly perceivable:•The growth shown in Figure 2 is linear for all parameters in the log-log-plot. This means we have exponential growth for the actual parameters.•We have nearly linear growth for the number of distinct word forms and co-occurrences compared to the corpus size measured in sentences.•Both neighbour and sentence co-occurrences exhibit a slope close to 1. The slope for the number of distinct word forms is smaller.•For different languages, these lines differ slightly by slope and by some constant.Different slopes in the log-log-plot correspond to exponential growth with different growth rates.For Finnish we have:•The number of word forms is slightly larger then average.•The growth of the number of neighbour co-occurrences is slightly larger than average. Leaving these facts unexplained in this current paper, the emphasis here is to show the usability of the corpora of standard size for language comparison.5 ConclusionsIn this paper, we have described the production process of monolingual corpora in standard sizes from various sources. Our service to the community is to provide these corpora in a cleaned and uniform way in various formats and various modes of access. Especially for languages with scarce resources, we provide an open-access basis on which any language technology can build upon. Further the majority of tools needed to build and maintain self-compiled collections have been made available. We constantly extend the collection both in the number of languages covered and in the size of resources provided.ReferencesBiemann, C., S. Bordag, G. Heyer, U. Quasthoff and C. Wolff (2004) Language independent Methods for Compiling Monolingual Lexical Data. In Proceedings of CicLING 2004, Springer LNCS 2945. Seoul, South KoreaDunning, T. (1993) Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1)Gabrilovich, E. and S. Markovitch (2007) Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In Proceedings of IJCAI 2007, Hyderabad, India.http://www.cs.technion.ac.il/~shaulm/papers/abstracts/Gabrilovich-2007-CSR.htmlHalácsy, P., A. Kornai, L. Németh, A. Rung, I. Szakadát, and V. Trón (2004) Creating open language resources for Hungarian. In: Proceedings of the LREC 2004, Lisbon, PortugalHallsteinsdóttir, E., T. Eckart, C. Biemann, U. Quasthoff and M. Richter, M. (2007) Íslenskur Orðasjóður - Building a Large Icelandic Corpus. In: Proceedings of NODALIDA-07, Tartu, EstoniaHeyer, G. and U. Quasthoff (2004) Calculating Communities by Link Analysis of URLs. Proceedings of IICS-04, Guadalajara, Mexico and Springer LNCS 3473Kiss, T. and J. Strunk (2006) Unsupervised Multilingual Sentence Boundary Detection. Computational Linguistics, 32(4).Milne, D., O. Medelyan and I.H. Witten (2006) Mining Domain-Specific Thesauri from Wikipedia: A Case Study. In: Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence. Washington, DCQuasthoff, U, M. Richter and C. Biemann (2006) Corpus Portal for Search in Monolingual Corpora. In: Proceedings of the LREC 2006, Genova, ItalySteinberger R., B. Pouliquen, A. Widiger, C. Ignat, T. Erjavec, D. Tufiş and D. Varga (2006) The JRC-Acquis: A multilingual aligned parallel corpus with 20+ languages. In: Proceedings of the LREC 2006, Genova, ItalyAppendix: Corpora and sizescode Language Size Source Availabilitycat Catalan 10 million WWW LCC 1.0dan Danish 3 million WWW LCC 1.0dut Dutch 1 million Newspaper LCC 1.0eng English 10 million Newspaper LCC 1.0est Estonian 1 million various LCC 1.0fin Finnish 3 million WWW LCC 1.0fre French 3 million Newspaper LCC 1.0ger German 30 million Newspaper LCC 1.0ger German 30 million WWW in preparationhun Hungarian 10 million WWW in preparationice Icelandic 1 million Newspaper onlineice Icelandic 10 million WWW onlineita Italian 3 million Newspaper LCC 1.0jap Japanese 0.3 million WWW LCC 1.0kor Korean 1 million Newspaper LCC 1.0nor Norwegian 3 million WWW LCC 1.0ser Serbian 1 million various in preparationsor Sorbian 0.3 million various LCC 1.0spa Spanish 1 million Newspaper onlineswe Swedish 3 million WWW LCC 1.0tur Turkish 1 million WWW LCC 1.0Table 3: Leipzig Corpora Collection: Sources and maximum standard sizeLanguage lang. #articles #kb #unique sentences #non foreign sentences(pass 1)Swedish sv 235,231 314,120 3,111,124 2,997,385 Chinese zh 131,442 354,212 2,339,583 2,211,215 Finnish fi 119,908 219,540 2,542,700 2,471,782 Norwegian (Bokmål) no 116,093 192,520 2,052,158 1,966,768 Esperanto eo 85,394 124,792 1,159,373 1,088,885 Turkish tr 83,154 159,844 1,078,935 1,052,695 Slovak sk 71,314 94,612 1,128,462 1,078,462 Czech cs 70,130 161,628 1,729,946 1,628,828 Romanian ro 67,157 101,652 813,742 692,679 Catalan ca 65,701 109,296 1,312,394 1,288,733 Danish da 64,558 99,944 997,886 949,555 Ukrainian uk 63,434 85,884 1,023,615 1,016,767 Hungarian hu 62,548 159,752 1,593,033 1,552,856 Indonesian id 62,387 83,644 896,062 828,777 Hebrew he 59,324 222,360 1,219,772 1,205,459 Lombard lmo 51,296 12,540 116,667 100,791 Slovenian sl 49,132 79,996 905,354 882,549 Lithuanian lt 47,776 67,604 717,234 708,970 Serbian sr 46,212 101,552 1,009,209 984,328 Bulgarian bg 40,764 83,964 811,975 802,502 Korean ko 38,389 68,228 529,777 518,685 Estonian et 36,410 53,464 616,565 606,932 Cebuano ceb 33,210 9,900 172,440 109,536 Arabic ar 32,918 63,180 442,514 437,496 Croatian hr 31,861 66,592 782,635 497,777 Telugu te 28,015 14,328 128,896 118,033 Galician gl 24,915 43,256 472,111 264,437 Greek el 24,306 54,896 536,541 523,973 Thai th 24,143 56,712 436,306 423,762 Norwegian (Nynorsk) nn 23,587 40,552 375,659 170,890 Persian fa 21,927 44,344 367,548 364,570 Malay ms 21,483 33,956 479,084 439,627 Newar / Nepal Bhasa new 21,410 7,660 50,894 45,165 Vietnamese vi 20,123 66,572 674,386 631,312 Bosnian bs 18,832 29,256 320,325 201,710 Basque eu 18,388 24,072 213,139 206,289 Bishnupriya Manipuri bpy 17,612 10,000 75,661 73,507 Volapük vo 16,997 3,108 14,376 13,427 Simple English simple 16,718 28,820 285,761 283,395 Albanian sq 16,492 20,216 163,534 151,445 Icelandic is 15,968 24,912 198,154 175,996 Bengali bn 15,835 18,384 97,354 90,770Luxembourgish lb 15,,710 24,040 267,267 238,215 Georgian ka 15,428 24,072 116,738 114,986 Ido io 15,069 13,352 177,660 152,494 Breton br 14,274 17,936 181,495 159,640 Latin la 13,484 20,440 143,615 130,462 Neapolitan nap 12,514 12,024 55,953 49,187 Hindi hi 11,824 10,320 55,394 52,435 Serbo-Croatian sh 11,411 24,580 323,581 190,526 Tamil ta 10,871 17,860 115,449 110,638 Sundanese su 10,673 11,080 97,407 73,958 Marathi mr 10,254 8,992 49,300 47,997 Javanese jv 10,228 5,824 52,846 50,907 Macedonian mk 9,947 18,212 155,081 151,652 Welsh cy 9,939 12,752 110,134 102,272 Sicilian scn 9,924 9,896 78,536 68,014 Latvian lv 9,745 19,644 183,617 179,610 Low Saxon nds 9,597 11,824 166,022 134,918 Kurdish ku 9,371 9,612 89,189 69,470 Walloon wa 9,053 8,688 57,151 44,757 Asturian ast 8,517 12,420 195,382 173,789 Piedmontese pms 8,425 4,904 32,990 28,640 Occitan oc 8,255 14,892 97,849 74,286 Afrikaans af 7,714 15,084 150,299 78,308 Tajik tg 7,680 7,288 45,077 39,868 Siberian/North Russian ru-sib 7,205 4,328 48,417 47,651 Haitian ht 7,053 3,640 43,587 39,246 Azeri az 6,907 7,596 47,933 43,629 Ripuarian ksh 6,804 7,932 39,655 33,471 Tagalog tl 6,148 9,500 105,707 86,344 Aragonese an 6,135 8,844 172,556 163,901 Chuvash cv 5,876 5,220 42,448 42,054 Urdu ur 5,869 10,132 54,659 53,739 Uzbek uz 5,542 7,328 75,908 72,855 Corsican co 5,408 4,300 23,333 19,486 Belarusian be 5,309 3,068 20,927 20,756 Irish Gaelic ga 5,141 8,876 72,605 65,464 Table 4: Wikipedias with more than 5,000 articles: size in articles, compressed kilobytes, number of unique sentences and upper bound for number of candidates for inclusion in a corpus. The Top 10 clearly exceed 1 million usable sentences and are omitted here.。

Standards and guidelines

Standards and guidelines

© American College of Medical Genetics and GenomicsACMG StAndArdS And GuidelineSSubmitted 28 January 2015; accepted 28 January 2015; advance online publication 5 March 2015. doi:10.1038/gim.2015.30The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants.1 In the past decade, sequencing technology has evolvedr apidly with the advent of high-throughput next-generation s equencing. By adopting and leveraging next-generation sequencing, clinical laboratories are now performing an ever-increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes, and epigenetic assays for genetic disorders. By virtue of increased complexity, this shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context the ACMG convened a workgroup in 2013 comprising repre-sentatives from the ACMG, the Association for Molecular Pathology (AMP), and the College of American Pathologists to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP , and College of American Pathologists stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories, including genotyping, single genes, p anels,exomes, and genomes. This report recommends the use of specific stan-dard terminology—“pathogenic,” “likely pathogenic,” “uncertain sig-nificance,” “likely benign,” and “benign”—to describe variants identifiedin genes that cause Mendelian disorders. Moreover, this recommenda-tion describes a process for classifying variants into these five categories based on criteria using typical types of variant evidence (e.g., population data, computational data, functional data, segregation data). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recom-mends that clinical molecular genetic testing should be performed in a Clinical Laboratory Improvement Amendments–approved laboratory, with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or the equivalent.Genet Med advance online publication 5 March 2015Key Words: ACMG laboratory guideline; clinical genetic testing; interpretation; reporting; sequence variant terminology; variant reporting1Department of Molecular and Medical Genetics, Knight Diagnostic Laboratories, Oregon Health & Science University, Portland, Oregon, USA; 2College of American Pathologists, Chicago, Illinois, USA; 3GeneDx, Gaithersburg, Maryland, USA; 4Department of Pediatrics, Section of Genetics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA; 5Department of Human Genetics, Clinical Molecular Genetics Laboratory, The University of Chicago, Chicago, Illinois, USA; 6Cytogenetics/Molecular Genetics Laboratory, Nationwide Children’s Hospital, Columbus, Ohio, USA; 7Department of Pathology, Ohio State University College of Medicine, Columbus, Ohio, USA; 8Department of Pediatrics, Ohio State University College of Medicine, Columbus, Ohio, USA; 9Department of Pathology and Laboratory Medicine, University of California Los Angeles School of Medicine, Los Angeles, California, USA; 10Department of Pediatrics, University of California Los Angeles School of Medicine, Los Angeles, California, USA; 11Department of Human Genetics, University of California Los Angeles School of Medicine, Los Angeles, California, USA; 12Department of Human Genetics, Emory Genetics Laboratory, Emory University, Atlanta, Georgia, USA; 13Department of Pathology, ARUP Institute for Clinical and Experimental Pathology, University of Utah, Salt Lake City, Utah, USA; 14Department of Pediatrics, Molecular Genetics Laboratory, Children’s Hospital Colorado, University of Colorado Anschutz Medical School, Denver, Colorado, USA; 15Partners Laboratory for MolecularMedicine and Department of Pathology, Brigham & Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA; 16Current affiliation: Phoenix Children’s Hospital, Phoenix, Arizona, USA. Correspondence: Sue Richards (richarsu@ )Approved by the ACMG Board of Directors on 15 December 2014 and the AMP Board of Directors on 9 January 2015.Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the AmericanCollege of Medical Genetics and Genomics and theAssociation for Molecular PathologySue Richards, PhD 1, Nazneen Aziz, PhD 2,16, Sherri Bale, PhD 3, David Bick, MD 4, Soma Das, PhD 5,Julie Gastier-Foster, PhD 6,7,8, Wayne W. Grody, MD, PhD 9,10,11, Madhuri Hegde, PhD 12, Elaine Lyon, PhD 13, Elaine Spector, PhD 14, Karl Voelkerding, MD 13 and Heidi L. Rehm, PhD 15;on behalf of the ACMG Laboratory Quality Assurance CommitteeDisclaimer: These ACMG Standards and Guidelines were developed primarily as an educational resource for clinical laboratory geneticists to help them pro-vide quality clinical laboratory services. Adherence to these standards and guidelines is voluntary and does not necessarily assure a successful medical outcome. These Standards and Guidelines should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reason-ably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the clinical laboratory geneticist should apply his or her own professional judgment to the specific circumstances presented by the individual patient or specimen. Clinical laboratory geneticists are encouraged to document in the patient’s record the rationale for the use of a particular procedure or test, whether or not it is in conformance with these Standards and Guide-lines. They also are advised to take notice of the date any particular guideline was adopted and to consider other relevant medical and scientific information that becomes available after that date. It also would be prudent to consider whether intellectual property interests may restrict the performance of certain testsand other procedures.RICHARDS et al| Interpretation of sequence variants ACMG StAndArdS And GuidelineSINTRODUCTIONClinical molecular laboratories are increasingly detecting novel sequence variants in the course of testing patient specimens for a rapidly increasing number of genes associated with genetic disorders. While some phenotypes are associated with a single gene, many are associated with multiple genes. Our understand-ing of the clinical significance of any given sequence variant falls along a gradient, ranging from those in which the variant is almost certainly pathogenic for a disorder to those that are almost certainly benign. While the previous American College of Medical Genetics and Genomics (ACMG) recommendations provided interpretative categories of sequence variants and an algorithm for interpretation, the recommendations did not pro-vide defined terms or detailed variant classification guidance.1 This report describes updated standards and guidelines for the classification of sequence variants using criteria informed by expert opinion and empirical data.METHODSIn 2013 a workgroup consisting of ACMG, Association for Molecular Pathology (AMP), and College of American Pathologists members, representing clinical laboratory direc-tors and clinicians, was formed with the goal of developing a recommendation for the use of standard terminology for clas-sifying sequence variants using available evidence weighted according to a system developed through expert opinion, work-group consensus, and community input. To assess the views of the clinical laboratory community, surveys were sent to over 100 sequencing laboratories in the United States and Canada that were listed in , requesting input on termi-nology preferences and evaluation of evidence for classifying variants. Laboratory testing experience included rare disease as well as pharmacogenomics and somatic cancer testing. The first survey, aimed at assessing terminology preferences, was sent in February 2013, and the results were presented in an open forum at the 2013 ACMG annual meeting including over 75 attendees. Survey respondents represented more than 45 laboratories in North America. The outcome of the survey and open forum indicated that (i) a five-tier terminology system using the terms “pathogenic,” “likely pathogenic,” “uncertain significance,”“likely benign,” and “benign” was preferred and already in use by a majority of laboratories, and (ii) the first effort of the work-group should focus on Mendelian and mitochondrial variants. In the first survey, laboratories also were asked to provide their protocols for variant assessment, and 11 shared their methods. By analyzing all the protocols submitted, the work-group developed a set of criteria to weight variant evidence and a set of rules for combining criteria to arrive at one of the five classification tiers. Workgroup members tested the scheme within their laboratories for several weeks using variants already classified in their laboratories and/or by the broader community. In addition, typical examples of variants harbor-ing the most common types of evidence were tested for clas-sification assignment to ensure the system would classify those variants according to current approaches consistently applied by workgroup members. A second survey was sent in August 2013 to the same laboratories identified through GeneTests. org as well as through AMP’s listserv of ~2,000 members, along with the proposed classification scheme and a detailed supple-ment describing how to use each of the criteria. Laboratories were asked to use the scheme and to provide feedback as to the suitability and relative weighting of each criteria, the ease of use of the classification system, and whether they would adopt such a system in their own laboratory. Responses from over 33 labo-ratories indicated majority support for the proposed approach, and feedback further guided the development of the proposed standards and guidelines.In November 2013 the workgroup held a workshop at the AMP meeting with more than 50 attendees, presenting the revised classification criteria and two potential scoring systems. One system is consistent with the approach presented here and the other is a point system whereby each criterion is given a number of points, assigning positive points for pathogenic criteria and negative points for benign criteria, with the total defining the variant class. With an audience-response system, the participants were asked how they would weight each cri-terion (as strong, moderate or supporting, or not used) dur-ing evaluation of variant evidence. Again, the responses were incorporated into the classification system presented here. It should be noted that while the majority of respondents did favor a point system, the workgroup felt that the assignment of specific points for each criterion implied a quantitative level of understanding of each criterion that is currently not supported scientifically and does not take into account the complexity of interpreting genetic evidence.The workgroup also evaluated the literature for recommen-dations from other professional societies and working groups that have developed variant classification guidelines for well-studied genes in breast cancer, colon cancer, and cystic fibro-sis and statistical analysis programs for quantitative evaluation of variants in select diseases.2–5 While those variant analysis guidelines are useful in a specific setting, it was difficult to apply their proposed criteria to all genes and in different laboratory settings. The variant classification approach described in this article is meant to be applicable to variants in all Mendelian genes, whether identified by single gene tests, multigene p anels, exome sequencing, or genome sequencing. We expect that this variant classification approach will evolve as technology and knowledge improve. We should also note that those working in specific disease groups should continue to develop more focused guidance regarding the classification of variants in spe-cific genes given that the applicability and weight assigned to certain criteria may vary by gene and disease.GENERAL CONSIDERATIONS TerminologyA mutation is defined as a permanent change in the nucleo-tide sequence, whereas a polymorphism is defined as a vari-ant with a frequency above 1%. The terms “mutation” and “polymorphism,” however, which have been used widely,Interpretation of sequence variants | RICHARDS et al ACMG StAndArdS And GuidelineSoften lead to confusion because of incorrect assumptions of pathogenic and benign effects, respectively. Thus, it is recom-mended that both terms be replaced by the term “variant” with the following modifiers: (i) pathogenic, (ii) likely pathogenic, (iii) uncertain significance, (iv) likely benign, or (v) benign. Although these modifiers may not address all human phe-notypes, they comprise a five-tier system of classification for variants relevant to Mendelian disease as addressed in this guidance. It is recommended that all assertions of pathogenic-ity (including “likely pathogenic”) be reported with respect to a condition and inheritance pattern (e.g., c.1521_1523delCTT (p.Phe508del), pathogenic, cystic fibrosis, autosomal recessive). It should be noted that some laboratories may choose to have additional tiers (e.g., subclassification of variants of uncertain significance, particularly for internal use), and this practice is not considered inconsistent with these recommendations. It should also be noted that the terms recommended here differ somewhat from the current recommendations for classifying copy-number variants detected by cytogenetic microarray.6 The schema recommended for copy-number variants, while also including five tiers, uses “uncertain clinical significance—likely pathogenic” and “uncertain clinical significance—likely benign.” The majority of the workgroup was not supportive of using “uncertain significance” to modify the terms “likely pathogenic” or “likely benign” given that it was felt that the criteria presented here to classify variants into the “likely” categories included stronger evidence than outlined in the copy-number variant guideline and that combining these two categories would create confusion for the health-care provid-ers and individuals receiving clinical reports. However, it was felt that the use of the term “likely” should be restricted to variants where the data support a high likelihood that it is pathogenic or a high likelihood that it is benign. Although there is no quantitative definition of the term “likely,” guid-ance has been proposed in certain variant classification set-tings. A survey of the community during an ACMG open forum, however, suggested a much wider range of uses of the term “likely.” Recognizing this, we propose that the terms “likely pathogenic” and “likely benign” be used to mean greater than 90% certainty of a variant either being disease-causing or benign to provide laboratories with a common, albeit arbitrary, definition. Similarly, the International Agency for Research on Cancer guideline2 supports a 95% level of certainty of pathogenicity, but the workgroup (confirmed by feedback during the ACMG open forum) felt that clinicians and patients were willing to tolerate a slightly higher chance of error, leading to the 90% decision. It should also be noted that at present most variants do not have data to support a quan-titative assignment of variant certainty to any of the five cat-egories given the heterogeneous nature of most diseases. It is hoped that over time experimental and statistical approaches to objectively assign pathogenicity confidence to variants will be developed and that more rigorous approaches to defining what the clinical community desires in terms of confidence will more fully inform terminologies and likelihoods.The use of new terminologies may require education of the community. Professional societies are encouraged to engage in educating all laboratories as well as health-care providers on the use of these terms, and laboratories also are encouraged to directly educate their ordering physicians.NomenclatureA uniform nomenclature, informed by a set of standardized cri-teria, is recommended to ensure the unambiguous designation of a variant and enable effective sharing and downstream use of genomic information. A standard gene variant nomenclature (/mutnomen) is maintained and versioned by the Human Genome Variation Society (HGVS),7 and its use is recommended as the primary guideline for determining vari-ant nomenclature except as noted.6 Laboratories should note the version being used in their test methods. Tools are avail-able to provide correct HGVS nomenclature for describing variants (https://mutalyzer.nl).8 Clinical reports should include sequence reference(s) to ensure unambiguous naming of the variant at the DNA level, as well as to provide coding and pro-tein nomenclature to assist in functional interpretations (e.g., “g.” for genomic sequence, “c.” for coding DNA sequence, “p.”for protein, “m.” for mitochondria). The coding nomenclature should be described using the “A” of the ATG translation ini-tiation codon as position number 1. Where historical alternate nomenclature has been used, current nomenclature should be used with an additional notation of the historical naming. The reference sequence should be complete and derived from either the National Center for Biotechnology Information RefSeq database (/RefSeq/)9 with the ver-sion number or the Locus Reference Genomic database (http:// ).10 Genomic coordinates should be used and defined according to a standard genome build (e.g., hg19) or a genomic reference sequence that covers the entire gene (including the 5′ and 3′ untranslated regions and promoter).A reference transcript for each gene should be used and pro-vided in the report when describing coding variants. The tran-script should represent either the longest known transcript and/or the most clinically relevant transcript. Community-supported reference transcripts can often be identified through Locus Reference Genomic,10 the Consensus CDS Database,11 the Human Gene Mutation Database (http://www.hgmd. ), ClinVar (/clinvar), or a locus-specific database. However, laboratories should evaluate the impact of the variant on all clinically relevant transcripts, including alternate transcripts that contain additional exons or extended untranslated regions, when there are known variants in these regions that are clinically interpretable.Not all types of variants (e.g., complex variants) are covered by the HGVS recommendations, but possible descriptions for complex variants have been reported.7,12 In addition, this ACMG recommendation supports three specific exceptions to the HGVS nomenclature rules: (i) “X” is still considered acceptable for use in reporting nonsense variants in addition to the current HGVS recommendation of “*” and “Ter”; (ii) it isRICHARDS et al| Interpretation of sequence variants ACMG StAndArdS And GuidelineSr ecommended that exons be numbered according to the chosen reference transcript used to designate the variant; and (iii) the term “pathogenic” is recommended instead of “affects function” because clinical interpretation is typically directly evaluating pathogenicity.Literature and database useA large number of databases contain a growing number of variants that are continuously being discovered in the human genome. When classifying and reporting a variant, clinical lab-oratories may find valuable information in databases, as well as in the published literature. As noted above, sequence databases can also be used to identify appropriate reference sequences. Databases can be useful for gathering information but should be used with caution.Population databases (Table 1) are useful in obtaining the frequencies of variants in large populations. Population databases cannot be assumed to include only healthy indi-viduals and are known to contain pathogenic variants. These population databases do not contain extensive informa-tion regarding the functional effect of these variants or any possible associated phenotypes. When using population databases, one must determine whether healthy or disease cohorts were used and, if possible, whether more than one individual in a family was included, as well as the age range of the subjects.Disease databases (Table 1) primarily contain variants found in patients with disease and assessment of the variants’ pathogenicity. Disease and gene-specific databases often con-tain variants that are incorrectly classified, including incorrectInterpretation of sequence variants | RICHARDS et al ACMG StAndArdS And GuidelineSclaims published in the peer-reviewed literature, because many databases do not perform a primary review of evidence. When using disease databases, it is important to consider how patients were ascertained, as described below.When using databases, clinical laboratories should (i) determine how frequently the database is updated, whether data curation is supported, and what methods were used for c uration; (ii) confirm the use of HGVS nomenclature and determine the genome build and transcript references used for naming variants; (iii) determine the degree to which data are validated for analytical accuracy (e.g., low-pass next-generation sequencing versus Sanger-validated variants) and evaluate any quality metrics that are provided to assess data accuracy, which may require reading associated publications; and (iv) determine the source and independence of the obser-vations listed.Variant assessment also includes searching the scientific and medical literature. Literature using older nomenclature and classification or based on a single observation should be used with caution. When identifying individuals and families with a variant, along with associated phenotypes, it is important to consider how patients were ascertained. This caveat is impor-tant when assessing data from publications because affected individuals and related individuals are often reported multiple times, depending on the context and size of the study. This may be due to authorship overlap, interlaboratory collaborations, or a proband and family members being followed across different clinical systems. This may mistakenly lead to duplicate count-ing of affected patients and a false increase in variant frequency. Overlapping authorship or institutions is the first clue to the potential for overlapping data sets.Clinical laboratories should implement an internal system to track all sequence variants identified in each gene and clini-cal assertions when reported. This is important for tracking genotype–phenotype correlations and the frequency of vari-ants in affected and normal populations. Clinical laboratories are encouraged to contribute to variant databases, such as ClinVar, including clinical assertions and evidence used for the variant classification, to aid in the continued understand-ing of the impact of human variation. Whenever possible, clinical information should be provided following Health Insurance Portability and Accountability Act regulations for privacy. Clinical laboratories are encouraged to form collabo-rations with clinicians to provide clinical information to bet-ter understand how genotype influences clinical phenotype and to resolve d ifferences in variant interpretation between laboratories. Because of the great potential to aid clinical laboratory practice, efforts are underway for clinical variant databases to be expanded and standardized. Standardization will provide easier access to updated information as well as facilitate submission from the clinical laboratory. For exam-ple, the ClinVar database allows for the deposition of variants with clinical observations and assertions, with review status tracked to enable a more transparent view of the levels of quality of the putational (in silico) predictive programsA variety of in silico tools, both publicly and commercially available, can aid in the interpretation of sequence variants. The algorithms used by each tool may differ but can include determination of the effect of the sequence variant at the nucleotide and amino acid level, including determination of the effect of the variant on the primary and alternative gene transcripts, other genomic elements, as well as the potential impact of the variant on the protein. The two main categories of such tools include those that predict whether a missense change is damaging to the resultant protein function or struc-ture and those that predict whether there is an effect on splic-ing (Table 2). Newer tools are beginning to address additional noncoding sequences.13The impact of a missense change depends on criteria such as the evolutionary conservation of an amino acid or nucleotide, the location and context within the protein sequence, and the biochemical consequence of the amino acid substitution. The measurement of one or a combination of these criteria is used in various in silico algorithms that assess the predicted impact of a missense change. Several efforts have evaluated the performance of available predic-tion software to compare them with each other and to assess their ability to predict “known” disease-causing variants.14–17 In general, most algorithms for missense variant prediction are 65–80% accurate when examining known disease vari-ants.16 Most tools also tend to have low specificity, result-ing in overprediction of missense changes as deleterious, and are not as reliable at predicting missense variants with a milder effect.18 The in silico tools more commonly used for missense variant interpretation in clinical laboratories include PolyPhen2,19 SIFT,20 and MutationTaster.21 A list of in silico tools used to predict missense variants can be found in Table 2.Multiple software programs have been developed to predict splicing as it relates to the creation or loss of splice sites at the exonic or intronic level.22 In general, splice site prediction tools have higher sensitivity (~90–100%) relative to specificity (~60–80%) in predicting splice site abnormalities.23,24 Some of the in silico tools commonly used for splice site variant inter-pretation are listed in Table 2.While many of the different software programs use different algorithms for their predictions, they have similarities in their underlying basis; therefore, predictions combined from differ-ent in silico tools are considered as a single piece of evidence in sequence interpretation as opposed to independent pieces of evidence. The use of multiple software programs for sequence variant interpretation is also recommended because the differ-ent programs each have their own strengths and weaknesses, depending on the algorithm; in many cases performance can vary by the gene and protein sequence. These are only predic-tions, however, and their use in sequence variant interpreta-tion should be implemented carefully. It is not recommended that these predictions be used as the sole source of evidence to make a clinical assertion.RICHARDS et al| Interpretation of sequence variants ACMG StAndArdS And GuidelineSPROPOSED CRITERIA FOR INTERPRETATION OFSEQUENCE VARIANTSThe following approach to evaluating evidence for a variant is intended for interpretation of variants observed in patients with suspected inherited (primarily Mendelian) disorders in a clinical diagnostic laboratory setting. It is not intended for the interpretation of somatic variation, pharmacogenomic (PGx) variants, or variants in genes associated with multigenic non-Mendelian complex disorders. Care must be taken when applying these rules to candidate genes (“genes of uncertain significance” (GUS)) in the context of exome or genome stud-ies (see Special Considerations below) because this guidance is not intended to fulfill the needs of the research community in its effort to identify new genes in disease.Although these approaches can be used for evaluating vari-ants found in healthy individuals or secondary to the indication for testing, further caution must be used, as noted in severalparts of the guideline, given the low prior likelihood that most Table 2In silico predictive algorithms。

卡达斯D-50甲醛乙醇氧化酸酯说明书

卡达斯D-50甲醛乙醇氧化酸酯说明书

Product Data SheetCadox D-50Methyl ethyl ketone peroxideCadox® D-50 is a multipurpose catalyst used for curing gel coats and promoted unsaturated polyester resins at room temperature. Low-hydrogen peroxide content reduces gel-coat porosity and provides improved curing of vinylester resins.CAS number1338-23-4EINECS/ELINCS No.215-661-2TSCA statuslisted on inventorySpecificationsAppearance, 20-25°C Clear liquidTotal active oxygen8.8-9.0 %CharacteristicsDensity, 20 °C 1.0 g/cm³ApplicationsCadox® D-50 is an ideal multipurpose catalyst for the room temperature cure of gel coats and promoted unsaturated polyester resins. Cadox® D-50 has a low hydrogen peroxide content, which reduces gel coat porosity and provides improved curing of vinyl ester resins. Cadox® D-50 also has a high MEKP monomer content which provides reduced cure times in some resin systems. Additional end-use information is available in various application sheets or directly from your Nouryon representative.Thermal stabilityOrganic peroxides are thermally unstable substances, which may undergo self-accelerating decomposition. The lowest temperature at which self-accelerating decomposition of a substance in the original packaging may occur is the Self-Accelerating Decomposition Temperature (SADT). The SADT is determined on the basis of the Heat Accumulation Storage Test.SADT60°C (140°F)Method The Heat Accumulation Storage Test is a recognized test method for thedetermination of the SADT of organic peroxides (see Recommendations on theTransport of Dangerous Goods, Manual of Tests and Criteria - United Nations, NewYork and Geneva).StorageDue to the relatively unstable nature of organic peroxides a loss of quality can be detected over a period of time. To minimize the loss of quality, Nouryon recommends a maximum storage temperature (Ts max. ) for each organic peroxide product.Ts Max.30°C (86°F)Note When stored under these recommended storage conditions Cadox® D-50 willremain within the Nouryon specifications for a period of at least 3 months afterdelivery.Packaging and transportCadox® D-50 is packed in non-returnable, 1 gallon polyethylene containers of 8 lb net weight (4 per case) and in 5 gallon polyethylene containers of 40 lb net weight. Both packaging and transport meet the international regulations. For the availability of other packed quantities contact your Nouryon representative. Cadox® D-50 is classified as Organic peroxide type D; liquid; Division 5. 2; UN 3105; PG II.Safety and handlingKeep containers tightly closed. Store and handle Cadox® D-50 in a dry well-ventilated place away from sources of heat or ignition and direct sunlight. Never weigh out in the storage room. Avoid contact with reducing agents (e. g. amines), acids, alkalis and heavy metal compounds (e. g. accelerators, driers and metal soaps). Please refer to the Safety Data Sheet (SDS) for further information on the safe storage, use and handling of Cadox® D-50. This information should be thoroughly reviewed prior to acceptance of this product. The SDS is available at /sds-search.Major decomposition productsCarbon dioxide, Water, Acetic acid, Formic acid, Propionic acid, Methyl ethyl ketoneAll information concerning this product and/or suggestions for handling and use contained herein are offered in good faith and are believed to be reliable.Nouryon, however, makes no warranty as to accuracy and/or sufficiency of such information and/or suggestions, as to the product's merchantability or fitness for any particular purpose, or that any suggested use will not infringe any patent. Nouryon does not accept any liability whatsoever arising out of the use of or reliance on this information, or out of the use or the performance of the product. Nothing contained herein shall be construed as granting or extending any license under any patent. Customer must determine for himself, by preliminary tests or otherwise, the suitability of this product for his purposes.The information contained herein supersedes all previously issued information on the subject matter covered. The customer may forward, distribute, and/or photocopy this document only if unaltered and complete, including all of its headers and footers, and should refrain from any unauthorized use. Don’t copythis document to a website.Cadox® is a registered trademark of Nouryon Functional Chemicals B.V. or affiliates in one or more territories.Contact UsPolymer Specialties Americas************************Polymer Specialties Europe, Middle East, India and Africa*************************Polymer Specialties Asia Pacific************************2022-7-26© 2022Thermoset composites Cadox D-50。

国际食品机械设备卫生安全标准与重要法规

国际食品机械设备卫生安全标准与重要法规

equipment, components
installation
function
cleanability
process
HACCP, GMP
production, process
product
personal
cleaning
equipment quality risk assessment (machinery)
- Regulation (EC) 1935/2004 - on materials and articles intended to come into contact with food
- Regulation (EU) 10/2011 Plastic materials in food contact - Regulation (EC) 2023/2006 - on good manufacturing practice
effects
8
EU
2. Regulation (EC) 852/2004 on the hygiene of foodstuffs
Primary production (Annex I) and further steps (Annex II)
Analysis of potential food safety risks and determination of Critical Control Points (Hazard Analysis and Critical Control Points - HACCP)
Basic hygiene principles Food & feed business operator: legal
responsibility for ensuring product safety Unsafe foodstuffs may not be placed on

[2011][Nature]EnvironmentEarthsacidtest

[2011][Nature]EnvironmentEarthsacidtest

The Friday night beers made Sam Dupont forget all about his sea urchins. Earlier that day, in April 2010, the young Belgian eco-physiologist had put a batch of urchin larvae into a bath of highly acidic water to see how their skeletons would fare. When nothing obvious happened after a few hours,Dupont decided to join some friends at the pub and check on the experiment later in the evening. But he didn’t remember until Sunday, at which point he was sure that the precious larvae would be dead.But when Dupont returned to work at the Sven Lovén Centre for Marine Sciences in Kristineberg, Sweden, on Monday, he found the larvae still swimming around in their tank. Their internal skeletons had dissolved away, but otherwise the creatures seemed to be functioning well.Dupont’s chance finding underscores how much scientists have yet to learn about the growing threat of ocean acidification, which is caused by rapidly ris-ing atmospheric concentrations of carbon dioxide. The acidity of sea water has climbed by 30% over the past 150 years, and some regions have already become corrosive enough to inhibit the growth of corals and other species for part of the year. According to projections, most creatures with calcium carbonate shells, such as mussels and snails, could run into problems within a few decades. By the end of this century, the acidification could even impede the growth of important groups of plankton, thus endangering entire marine ecosystems, from fisheries to coral reefs.Although the urchin experiment hints that some organisms are able to sur-vive brief exposures to highly acidic water, other studies are revealing unexpected problems that might threaten even creatures without hard shells, such as fin fish. Preliminary work suggests that responses could be highly variable, depending on factors such as water temperature, a creature’s evolutionary history and the avail-ability and quality of food.ACID T ESTAn experiment off the coast of Spitsbergen tests the effects of elevated carbon dioxide concentrations on marine life.BY Q UI R IN S C HI E RM E I E RJ .-P . G A T T U S O /C N R S154 | N A T U R E | V O L 471 | 10 M A R C H 2011© 2011 Macmillan Publishers Limited. All rights reservedCountries are only now revving up the coordinated research pro-grammes needed to assess how marine ecosystems will react to the increasingly acidic waters. “We simply have not conducted the basic experiments,” says Richard Feely, an oceanographer with the US National Oceanic and Atmospheric Administration in Seattle, Washing-ton, which last year launched a US$5.5-million programme of research into the problem. But with the current pace of acidification, scientists do not have much time to come up with answers.CARBON SINKWithout the oceans and their vast ability to absorb carbon dioxide, Earth would be warming up much faster than it currently is. The seas take up about 9 billion tonnes of the gas each year — almost one-third of the 30 billion tonnes emitted globally.Once it enters the ocean, CO2 reacts with water to produce carbonic acid, which releases positively charged hydrogen ions. Acidity is meas-ured in pH, a logarithmic scale on which low numbers mean high acid-ity; neutral water has a pH of 7, but sea water is naturally alkaline, owing to the salts dissolved in it. Since the mid-nineteenth century, the average pH of ocean surface waters has dropped by 0.1 units, to a current value of about 8.1. Unless nations sharply curb their emissions, atmospheric CO2 is expected to at least double from its preindustrial concentration by sometime in the second half of this century, and scientists project that ocean pH will fall by a further 0.3–0.4 or so units. Sea water could then contain at least 150% more hydrogen ions than it did at the onset of the industrial era.Those extra ions cause problems by binding with dissolved carbonate ions to form bicarbonate. With fewer free carbonate ions in the water, organisms struggle to absorb enough to build shells and skeletons made of calcite and aragonite — two different forms of calcium carbonate. And if sea water becomes permanently undersaturated with respect to those minerals, hard parts made of them will start to dissolve. “There is absolutely no doubt that calcifying organisms will calcify less if conditions become more acidic,” says Jean-Pierre Gattuso, an oceanographer at the National Centre for Scientific Research in Ville-franche-sur-mer, France, who coordinates the European Project on Ocean Acidification (EPOCA).This has happened before. Some 55 million years ago, during an episode of extreme global warming driven by a spike in atmospheric CO2, the pH of sea water is thought to have dropped to levels similar to those expected at the end of the twenty-first century. Ocean sediment deposited during that period contains very little carbonate and no fos-sils of microorganisms with calcium carbonate shells, indicating that the sea water became too corrosive for calcifying algae such as deep-sea foraminifera, driving many to extinction1. Today, acidification is pro-gressing at least ten times faster than it did 55 million years ago. Researchers expect to see problems pop up first in polar seas, because cold water absorbs more CO2 than warmer water (and because the melting of sea ice dilutes the concentration of carbonate ions). In 2008, measure m ents showed that regions of the Arctic Ocean had become under s aturated with respect to aragonite for part of the year2, and scien-tists suggest that further portions of the Arctic and Southern Oceans will cross that chemical threshold within the next decade. If CO2 continues to rise at current rates, half of the Arctic Ocean could be undersaturated with respect to aragonite year-round by 2050 (see ‘Into the red zone’). Even in temperate waters, pH changes may already be having an impact. In the United States, the West Coast shellfish industry has asked scientists to study a dramatic rise in oyster mortality seen in hatcheries off Oregon and Washington since 2005.During the summer, upwelling currents in these seas carry deep-ocean water, naturally under-saturated withrespect to calcium carbonate, onto the continentalshelf. Researchers wonder whether the acidifica-tion of surface waters has combined with theseupwelling currents to cause some of the recentshellfish problems.At the moment, scientists can offer few conclusions. Although they can make broad predictions about the progress of ocean acidification, they know very little about how it will affect marine animals in differ-ent climate zones, alter the composition of ecosystems and, ultimately, influence the marine food web.To complicate matters, acidification is just one of many environ-mental changes confronting marine life. Organisms also face increas-ing stress from ocean warming, pollution, fishing pressure, sea-ice loss and shifting patterns of currents and mixing of deep and shallow water. Some scientists think that progressive ocean acidification will limit the ability of marine organisms to survive such stresses.SEA OF VARIABLESDupont and his colleagues in Kristineberg tried to answer some of the basic questions about acidification by filling 264 tanks with a range of organisms, including scallops, halibut, brittle stars, sea urchins and lobsters. In a four-month lab experiment that ended this week, they observed the performance of the various animals in each combination of six temperatures (6–18 °C) and two pH values (8.1 and 7.7), measuring growth, respiration, shell and tissue structure, internal pH and survival rates. They are just starting to analyse the data.With his previous urchin test, Dupont says, “we’ve seen that some species can cope with extremely low pH values, at least in the short term”. But that might not be true for longer exposures and higher tem-peratures. “We expect that the response to combined stressors is very site- and species-specific.”A separate study of two populations of spider crabs (Hyas araneus) suggests that how animals respond to acidification depends on their climate zone. In lab experiments, the growth rate and fitness of larvae from the North Sea decreased markedly in acidic waters, whereas an Arctic population from 3,000 kilometres farther north was more sensi-tive to warming than increased acidity3.Even individuals from the same species and climate zone can reactenvironmental boundaries, visit: /ejfwxiSOURCE:L.CAO&K.CALDEIRAGEOPHYS.RES.LETT.35,L1969(28)/REEFSATRISKREVISITED(WRI,211)10M A R C H2011|V O L471|N A T U R E|155© 2011 Macmillan Publishers Limited. All rights reservedquite differently. In one lab study 4, blue mussels (Mytilus edulis ) from the North Sea showed a 25% drop in calcification rates at values of atmos-pheric CO 2 of 740 parts per million, about what is expected by 2100 if emissions are not curbed. But a different population seemed to do just fine in such waters: these mussels live in the nearby Baltic Sea, where CO 2-rich waters well up for parts of the year, causing the pH in the sea to drop as low as 7.5 (ref. 5). Frank Melzner, an environmental physiologist at the Leibniz Institute of Marine Sciences (IFM-GEOMAR) in Kiel, Germany, who led the Baltic study, suggests that the mussels can survive there because they have developed the physiological capacity to regu-late the pH in their cells and build up a protective layer of proteins and carbohydrates that shelters their shells. But only well-nourished organ-isms can afford such defences, he says. “It seems that some organisms can biologically control the effects surprisingly well — but it certainly requires energy.”There is plenty of food in the Baltic. Where nutrition is less abundant, populations seem to decline when faced with increased acidity. That is one of the lessons from a study off the Italian island of Ischia in the Gulf of Naples, where underwater volcanic vents have been spewing CO 2 into the comparatively food-poor Tyrrhenian Sea for millennia. A survey of life around the site found that normally common calcifying organisms, including corals and sea urchins, were absent from the spots with low pH. Instead, the researchers discovered a thriving community of species that are immune to elevated CO 2 or even benefit from it, such as sea grasses and invasive algae 6.Jason Hall-Spencer, a marine biologist at the University of Plymouth, UK, who oversees the research off Ischia, says that the massive differ-ence between the responses of animals there and in the Baltic illustrates how little is known. To really understand the problem, “you’d like to test the combined effects of ocean acidification and other stressors on hundreds of species and their interactions”, he says.And calcifying organisms are not the only creatures at risk (see ‘Future shocks’). Even fish could be vulnerable: experiments have shown that elevated CO 2 impairs the sense of smell in juvenile clownfish (Amphi-prion percula ), which could make it difficult for them to find the sea anemones in which they like to live 7.GROWING URGENCYIn the past few years, nations have started to devote resources to the research challenge. Europe’s €16.5–million (US$22.9-million), four-year EPOCA project, which began in 2008 and encompasses 31 laboratories in 10 countries, aims to monitor the effects of ocean acidification onmarine organisms at various scales, from cells to ecosystems and then across the entire globe. One of the programme’s priorities is to deter-mine whether there are any tipping points, beyond which any increase in acidity would hurl marine ecosystems towards catastrophic changes. In the United States, President Barack Obama’s administration plans to submit a proposal to Congress in the next month or so for an inte-grated national research programme on ocean acidification, which would draw together researchers from across the federal government. The president’s 2011 budget called for $11.6 million for research on the subject, but Congress has yet to pass a budget for the current fiscal year. National research programmes are also under way in Germany, Britain, Japan, China, South Korea and Australia.The largest field experiment conducted so far is an offshore study by EPOCA, involving algae and bacteria in large floating containers exposed to varying levels of CO 2. The research took place between May and July last year, off the island of Spitsbergen in the Arctic Ocean. A group of 35 researchers collected daily measurements of 45 variables affecting the ‘mesocosm’ within the oversized containers, from nutrient cycling to trace-gas production by calcifying algae. The experiment is to be repeated in April and May this year off Bergen in Norway, where the team hopes to observe how acidification affects a bloom of coccolitho-phorids — important calcifying algae that produce dimethyl sulphide, a trace gas that seeds the formation of clouds.“We need to understand much more about how ocean acidification affects real ecosystems than we can hope to learn from dose-response experiments on isolated species,” says Ulf Riebesell, a biological ocean-ographer at the IFM-GEOMAR, who leads the study.A sense of urgency is propelling these studies. Governments have shown no signs of stemming CO 2 emissions any time soon, and there is talk of tackling the problem of methane and other greenhouse gases first, leaving the tougher issue of CO 2 for a later generation. That might slow the global temperature rise, but it won’t keep the seas from growing ever more corrosive. ■Quirin Schiermeier is a senior reporter with Nature in Munich.1. Zachos, J. C. et al. Science 308, 1611–1615 (2005).2. Yamamoto-Kawai, M., McLaughlin, F. A., Carmack, E. C., Nishino, S. & Shimada, K. Science 326, 1098–1100 (2009).3. Walther, K., Anger, K. & Pörtner, H. O. Mar. Ecol. Progr. Ser. 417, 159–170 (2010).4. Gazeau, F. et al. Geophys. Res. Lett. 34, L07603 (2007).5. Thomsen, J. et al. Biogeosciences 7, 3879–3891 (2010).6. Hall-Spencer, J. M. et al. Nature 454, 96–99 (2008).7. Munday, P . L. et al. Proc. Natl Acad. Sci. USA 106,1848–1852 (2009).FUTURE SHOCKSExperiments suggest that marine organisms will respond di erently to rising ocean acidity, depending on their physiology and habitat. The speed of acidi cation, and the timing of e ects, will depend on future emissions of carbon dioxide (four scenarios are shown, in di erent colours).190000.050.100.150.200.250.300.350.400.450.501920194019601980200020802100C h a n g e i n a v e r a g e p H o f s u r f a c e o c e a n f r o m p r e i n d u s t r i a l v a l u eA t m o s p h e r i c C O 2 (p .p .m .)202020402060S O U R C E : C . T U R L E Y E T A L . M A R . P O L L U T . B U L L . 60, 787–792 (2010)156 | N A T U R E | V O L 471 | 10 M A R C H 2011© 2011 Macmillan Publishers Limited. All rights reserved。

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Xian-MLeabharlann Zhang Yuliang Zheng
cluding the strict avalanche criterion (SAC) and the propagation criterion, have various limitations in capturing properties of vital importance to cryptographic algorithms, and propose a new criterion called GAC to measure the global avalanche characteristics of cryptographic functions. We also introduce two indicators related to the new criterion, one forecasts the sum-of-squares while the other the absolute avalanche characteristics of a function. Lower and upper bounds on the two indicators are derived, and two methods are presented to construct cryptographic functions that achieve nearly optimal global avalanche characteristics.
Journal of Universal Computer Science, vol. 1, no. 5 (1995), 316-333 submitted: 8/10/95, accepted: 10/5/95, appeared: 28/5/95, ©Springer Pub. Co.
GAC | the Criterion for Global Avalanche Characteristics of Cryptographic Functions
(The University of Wollongong, Wollongong, NSW 2522, Australia xianmo@.au) (Monash University, Melbourne, VIC 3199, Australia yzheng@.au)
316
of degree n coincide with bent functions , an important combinatorial structure discovered by Rothaus Rot76]. A combination of the two generalizations has also been studied in PLL+ 91, PGV91]. The SAC and its various generalizations are very important concepts in designing cryptographic functions employed by data encryption algorithms and one-way hashing functions. As is shown below, however, these concepts all have their limitations in capturing some of the vital characteristics required by a cryptographically strong function. The following concept of linear structure will be useful in our discussions. Given a function f on Vn and a vector 2 Vn , the vector is said to be a linear structure of f if f(x) f(x ) is a constant. An a ne function f(x) = a1x1 an xn c, where aj ; c 2 GF(2), j = 1; 2; : : :; n, has all the vectors in Vn as its linear structures. Hence having linear structures is generally regarded as an unwelcome property in cryptographic practice. First we can see that the SAC is an indicator with a very strong local avor, as it guarantees good avalanche characteristics with respect only to the vectors of Hamming weight one. A function that satis es the SAC can have a large number of vectors of Hamming weight larger than one as its linear structures. Such functions, if employed in certain cryptographic algorithms or systems, can result in a potential security risk. Next we consider generalizations of the SAC. The higher order SAC suggested by Forre in For89] has not been widely accepted by the research community as a criterion of cryptographic signi cance, although the concept itself seems interesting from a combinatorial point of view. In contrast, the other generalization of the SAC, namely the propagation criterion, has well established its position in + cryptographic design. This can be seen from work represented by AT90, PLL 91, PGV91, DT93, SZZ94b, SZZ95]. A function satisfying the propagation criterion of degree k shows the perfect avalanche characteristic with respect to vectors of Hamming weight not larger than k. This property, however, does not rule out the possibility that the function can have vectors of Hamming weight larger than k as its linear structures. For instance, all currently known methods for constructing functions satisfying higher degree propagation criteria, including those presented in PGV91, DT93, SZZ94b, SZZ95], yield functions having undesirable linear structures. Therefore the propagation criterion, though being an extension of the SAC, is merely another indicator for local properties. On the other hand, the criterion is too strict in the sense that it requires that f(x) f(x ) be 100% balanced. This leads to the situation where a function satisfying the propagation criterion of the largest possible degree becomes bent. Although bent functions have nice properties, they are not balanced and hence can hardly be directly employed in practice. In designing a cryptographic algorithm, we often need functions that satisfy a number of crucial cryptographic requirements such as balance, high nonlinearity, high algebraic degree and good avalanche characteristics. A function can be considered to have good avalanche characteristics if it does not have a nonzero linear structure and satis es the propagation criterion with respect to the majority of the vectors. These discussions show a necessity to search for a new criterion for cryptographic functions. The new criterion should overcome the shortcomings of the SAC or its generalizations, and be able to forecast the overall avalanche characteristic of a cryptographic function. The main aim of this paper is to put forward two closely related indicators that forecast the GAC or global avalanche charac-
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