Dimensions of hypochondriasis and the five-factor model of personality
(精选)蛋白质组学基本技术简介
9
二、基本流程
Steps in 2D GE & Peptide ID
1. 样品制备 2. Isoelectric focusing (first dimension) 3. SDS-PAGE (second dimension) 4. 凝胶的染色 5. 凝胶的图像处理分析 6. 蛋白质的胶内酶切和质谱鉴定
• Provides pI, MW, quantity
2
2-D electrophoresis (separation)
Major technique in proteomic research
Interested spot
Digest to peptide fragment
1. First dimension: denaturing isoelectric focusing separation according to the pI
检测性。
11
样品制备的基本方法:
• 细胞样品:
– 反复冻融、超声破碎
• 组织样品:
– 碾磨、匀浆
• 植物样品:
– 碾磨
• 分泌蛋白:
– 蛋白质样品的浓缩、去除滤液 中的高丰度蛋白
• 菌体蛋白:
– 裂解液处理、超声破碎
12
Interfering substances for 2DE
• Lipids :与蛋白形成复合物,影响分子量和等电点,降低 蛋白的溶解性。(detergents)
2. When pH < pI → protein is positive charge → move to cathode pH > pI → protein is negative charge → move to anode
妇科英语试题库及答案
妇科英语试题库及答案一、选择题1. Which of the following is a common symptom of endometriosis?A. Heavy menstrual bleedingB. Irregular periodsC. InfertilityD. All of the above答案:D2. What is the medical term for the removal of the uterus?A. HysterectomyB. OophorectomyC. SalpingectomyD. Cystectomy答案:A3. The hormone responsible for the development of female secondary sexual characteristics is:A. EstrogenB. ProgesteroneC. TestosteroneD. Insulin答案:A二、填空题4. The process of a fertilized egg implanting into the________ is known as implantation.答案:endometrium5. The medical condition characterized by the presence of endometrial-like tissue outside the uterus is called ________. 答案:endometriosis6. A ________ is a surgical procedure to remove the ovaries.答案:oophorectomy三、判断题7. Polycystic ovary syndrome (PCOS) is a condition thataffects only the ovaries.答案:错误8. Menopause is the permanent cessation of menstruation,which occurs naturally in women around the age of 50.答案:正确9. The use of oral contraceptives can help prevent the development of ovarian cysts.答案:错误四、简答题10. Describe the function of the cervix in the female reproductive system.答案:The cervix serves as a passageway for sperm to enterthe uterus and for the baby to be delivered during childbirth.It also produces mucus that helps to facilitate the movement of sperm towards the egg.11. What are the typical symptoms of premenstrual syndrome (PMS)?答案:Typical symptoms of PMS include mood swings,irritability, bloating, breast tenderness, fatigue, and headaches, among others.五、案例分析题12. A 35-year-old woman presents with a history of severe pelvic pain, painful intercourse, and infertility. She has been trying to conceive for the past two years without success. What condition might she be suffering from, and what diagnostic tests could be performed to confirm the diagnosis?答案:The woman may be suffering from endometriosis. Diagnostic tests that could be performed include a pelvic examination, transvaginal ultrasound, and possibly a laparoscopy to visualize the endometrial-like tissue outside the uterus.六、翻译题13. 翻译以下医学术语:- 子宫肌瘤 (Uterine fibroids)- 子宫颈涂片 (Pap smear)- 卵巢囊肿 (Ovarian cyst)答案:- 子宫肌瘤 (Uterine fibroids)- 子宫颈涂片 (Pap smear)- 卵巢囊肿 (Ovarian cyst)七、论述题14. Discuss the importance of regular gynecological check-ups and the common procedures involved.答案:Regular gynecological check-ups are crucial for early detection and prevention of various gynecological disorders such as cervical cancer, ovarian cysts, and endometriosis. Common procedures involved include a pelvic examination, Pap smear for cervical cancer screening, breast examination, and discussions regarding sexual health and contraception.请注意,以上内容仅为示例,实际的试题库和答案应根据具体教学大纲和课程内容进行编制。
关于假说的英文作文
关于假说的英文作文Title: The Significance of Hypotheses in Scientific Inquiry。
Introduction:Hypotheses play a crucial role in scientific inquiry, serving as the foundation upon which experiments are built and knowledge is advanced. This essay explores the significance of hypotheses in the scientific process, their characteristics, and their importance in guiding research endeavors.Definition and Characteristics:A hypothesis is a proposed explanation for a phenomenon or a conjecture about the relationship between variables.It is formulated based on existing knowledge, observations, and logical reasoning. Hypotheses are characterized bytheir testability, specificity, and falsifiability.Testability implies that hypotheses can be empirically investigated through experimentation or observation. Specificity refers to the clear and precise statement of the expected outcomes or predictions. Falsifiability means that hypotheses can be proven false through empirical evidence, allowing for the refinement or rejection of the proposed explanation.Role in Scientific Inquiry:Hypotheses serve as the starting point for scientific investigations. They provide researchers with a framework for designing experiments and collecting data to test their validity. By formulating hypotheses, scientists articulate their expectations regarding the relationship between variables, enabling them to make predictions about experimental outcomes. Through systematic testing and analysis, hypotheses help researchers evaluate the plausibility of proposed explanations and contribute to the accumulation of scientific knowledge.Guiding Research Endeavors:Hypotheses play a crucial role in guiding research endeavors by providing direction and focus to scientific inquiries. They help researchers identify relevant variables, design appropriate experiments, and interpret the results within a theoretical framework. Moreover, hypotheses facilitate the communication of researchfindings within the scientific community, as they provide a clear statement of the research question and its expected outcomes. By guiding research efforts, hypothesescontribute to the efficient allocation of resources and the advancement of knowledge in various fields of study.Example: 。
生物专业英语期末打印版
Gil CapHomozygous(纯合的):A diploid organism that has two identical alleles for particular characteristic.Heterozygous (杂合的):A diploid organism that has two different alletic forms of a particular gene. Phenotype(表型):The physical, chemical, and psychological expression of genes possessed by an organism. Genotype(基因型):The catalog of genes of an organism, whether or not these genes are expressed. Allele(等位基因):Alternative forms of a gene for a particular characteristic ., attached earlobe genesand free earlobe genes are alternative alleles for ear shape).Monohybrid Crosses(单因子杂种):a hybrid produced by crossing parents that are homozygous except for a single gene locus that has two alleles.Dihybrid crosses(双因子杂种,双因子杂合子):A cross between individuals that differ with respect to two specified gene pairs.Law of independent assortment(独立分配定律,自由组合定律)::Members of one gene pair will separate from each other independently of the members of other gene pairs.Semiconservative replication(半保留复制):The method of replication of DNA in which the molecule divideslongitudinally, each half being conserved and acting as a template for the formation of a new strand. Lagging strand(后随链): is synthesized in short stretches known as Okazaki fragments.DNA polymerase( DNA 聚合酶):An enzyme that brings new DNA triphosphate nucleotides into position for bonding on another DNA molecule.Age structure(年龄结构):Of a population, the number of individuals in each of several or many age categories.Density-dependent factors(密度依赖因子,密度制约因子):population-limiting factors that become moreeffective as the size of the population increases.mitosis proceeds, the spindle microtubules play a crucial role in ensuring that both paired and separated chromatids move in the right directions at the proper times.??Each half of the spindle forms as microtubules extend from each pole of a dividing cell to the region of the metaphase plate.??During prophase, other microtubules, the centromeric fibers, extend outward from the spindle poles to structures on the chromosomes called kinetochores.??During anaphase the fibers begin to shorten, and the chromatids begin to move apart.在有丝分裂过程中,是纺锤体微管确保了染色单体在适当时间以正确方向进行分离。
四川大学华西基础医学与法医学院生理学教授
郑 煜,四川大学华西基础医学与法医学院生理学教授、博士生导师。
1977年毕业于原四川医学院,1985年获原华西医科大学生理学硕士学位,1990年获法国艾克斯·马赛第三大学神经科学博士学位。
曾先后赴法国国家科学研究中心Fessard研究所、美国Rockefeller大学、香港大学、法国艾克斯·马赛第三大学研修。
曾担任中国生理学会常务理事、继续教育工作委员会主任委员、教育工作委员会副主任委员、呼吸生理学专业委员会副主任委员。
现担任四川省生理科学会副理事长、生理学专业委员会主任委员,《生理学报》常务编委、《四川生理科学杂志》副主编、《生物医学工程学杂志》、《四川大学学报(医学版)》等杂志编委。
在科研方面,主要从事呼吸神经生物学研究工作。
作为课题负责人,曾先后完成和正在进行多项国家自然科学基金、教育部博士点基金等资助课题的研究。
已发表论文近100篇,其中26篇被SCI收录。
此外,主编教材《生理学》2本次,参编教材《生理学》8本次。
附 近年来以通讯作者发表的部分SCI论文目录:Jie Zhang, Ying He, Yan Ding, Hua Zhou, Yuhong Tang, Li Chen, Yu Zheng. Nitric oxide synthase expression in the medullary respiratory related nuclei and its involvement in CO-mediated central respiratory effects in neonatal rats. Brain Research Bulletin 84:258–263, 2011.Jie Zhang, Li Chen, Ying He, Yan Ding, Hua Zhou, Haiyan Hu, Yuhong Tang, Yu Zheng.Large-conductance calcium-activated potassium channels in the neurons of pre-Bözinger complex and their participation in the regulation of central respiratory activity in neonatal rats.Neuroscience Letters 481:159-163, 2010.Jigang Pan, Haiyan Hu, Jie Zhang, Hua Zhou, Li Chen, Yuhong Tang, Yu Zheng. Protective effect of hydrogen sulfide on hypoxic respiratory suppression in medullary slice of neonatal rats.Respiratory Physiology and Neurobiology 171:181-186, 2010.Haiyan Hu, Yujian Shi, Qi Chen, Wenxing Yang, Hua Zhou, Li Chen, Yuhong Tang, Yu Zheng.Endogenous hydrogen sulfide is involved in regulation of respiration in medullary slice of neonatal rats. Neuroscience 156:1074-1082, 2008.Wenxing Yang, Qilan Zhang, Hua Zhou, Xuechuan Sun, Qi Chen, Yu Zheng.Heme oxygenase-carbon monoxide pathway is involved in regulation of respiration in medullary slice of neonatal rats. Neuroscience Letters 426:128-132, 2007.Hua Zhou, Yuhong Tang, Yu Zheng. A new rat model of acute seizures induced by tutin. Brain Research 1092:207-213, 2006.Chuan Li, Zhenlong Guan, Yingshing Chan, Yu Zheng. Projections from facial nucleus interneurons to the respiratory groups of brainstem in the rat. Neuroscience Letters 368:25-28, 2004.Chengwu Zhang, Hengxiu Yan, Chuan Li, Yu Zheng. Possible involvement of the facial nucleus in regulation of respiration in rats. Neuroscience Letters 367:283-288, 2004.。
《孟德尔随机化研究指南》中英文版
《孟德尔随机化研究指南》中英文版全文共3篇示例,供读者参考篇1Randomized research is a vital component of scientific studies, allowing researchers to investigate causal relationships between variables and make accurate inferences about the effects of interventions. One of the most renowned guides for conducting randomized research is the "Mendel Randomization Research Guide," which provides detailed instructions and best practices for designing and implementing randomized controlled trials.The Mendel Randomization Research Guide offers comprehensive guidance on all aspects of randomized research, from study design and sample selection to data analysis and interpretation of results. It emphasizes the importance of randomization in reducing bias and confounding effects, thus ensuring the validity and reliability of study findings. With clear and practical recommendations, researchers can feel confident in the quality and rigor of their randomized research studies.The guide highlights the key principles of randomization, such as the use of random assignment to treatment groups, blinding of participants and researchers, and intent-to-treat analysis. It also discusses strategies for achieving balance in sample characteristics and minimizing the risk of selection bias. By following these principles and guidelines, researchers can maximize the internal validity of their studies and draw accurate conclusions about the causal effects of interventions.In addition to the technical aspects of randomized research, the Mendel Randomization Research Guide also addresses ethical considerations and practical challenges that researchers may face. It emphasizes the importance of obtaining informed consent from participants, protecting their privacy and confidentiality, and ensuring the safety and well-being of study subjects. The guide also discusses strategies for overcoming common obstacles in randomized research, such as recruitment and retention issues, data collection problems, and statistical challenges.Overall, the Mendel Randomization Research Guide is a valuable resource for researchers looking to improve the quality and validity of their randomized research studies. By following its recommendations and best practices, researchers can conductstudies that produce reliable and actionable findings, advancing scientific knowledge and contributing to evidence-based decision making in various fields.篇2Mendel Randomization Study GuideIntroductionMendel Randomization Study Guide is a comprehensive and informative resource for researchers and students interested in the field of Mendel randomization. This guide provides anin-depth overview of the principles and methods of Mendel randomization, as well as practical advice on how to design and conduct Mendel randomization studies.The guide is divided into several sections, each covering a different aspect of Mendel randomization. The first section provides a brief introduction to the history and background of Mendel randomization, tracing its origins to the work of Gregor Mendel, the father of modern genetics. It also discusses the theoretical foundations of Mendel randomization and its potential applications in causal inference.The second section of the guide focuses on the methods and techniques used in Mendel randomization studies. This includesa detailed explanation of how Mendel randomization works, as well as guidelines on how to select instrumental variables and control for potential confounders. It also discusses the strengths and limitations of Mendel randomization, and provides practical tips on how to deal with common challenges in Mendel randomization studies.The third section of the guide is dedicated to practical considerations in Mendel randomization studies. This includes advice on how to design a Mendel randomization study, collect and analyze data, and interpret the results. It also provides recommendations on how to report Mendel randomization studies and publish research findings in scientific journals.In addition, the guide includes a glossary of key terms and concepts related to Mendel randomization, as well as a list of recommended readings for further study. It also includes case studies and examples of Mendel randomization studies in practice, to illustrate the principles and techniques discussed in the guide.ConclusionIn conclusion, the Mendel Randomization Study Guide is a valuable resource for researchers and students interested in Mendel randomization. It provides a comprehensive overview ofthe principles and methods of Mendel randomization, as well as practical advice on how to design and conduct Mendel randomization studies. Whether you are new to Mendel randomization or looking to deepen your understanding of the field, this guide is an essential reference for anyone interested in causal inference and genetic epidemiology.篇3"Guide to Mendelian Randomization Studies" English VersionIntroductionMendelian randomization (MR) is a method that uses genetic variants to investigate the causal relationship between an exposure and an outcome. It is a powerful tool that can help researchers to better understand the underlying mechanisms of complex traits and diseases. The "Guide to Mendelian Randomization Studies" provides a comprehensive overview of MR studies and offers practical guidance on how to design and carry out these studies effectively.Chapter 1: Introduction to Mendelian RandomizationThis chapter provides an overview of the principles of Mendelian randomization, including the assumptions andlimitations of the method. It explains how genetic variants can be used as instrumental variables to estimate the causal effect of an exposure on an outcome, and outlines the key steps involved in conducting an MR study.Chapter 2: Choosing Genetic InstrumentsIn this chapter, the guide discusses the criteria for selecting appropriate genetic instruments for Mendelian randomization. It covers issues such as the relevance of the genetic variant to the exposure of interest, the strength of the instrument, and the potential for pleiotropy. The chapter also provides practical tips on how to search for suitable genetic variants in public databases.Chapter 3: Data Sources and ValidationThis chapter highlights the importance of using high-quality data sources for Mendelian randomization studies. It discusses the different types of data that can be used, such asgenome-wide association studies and biobanks, and offers advice on how to validate genetic instruments and ensure the reliability of the data.Chapter 4: Statistical MethodsIn this chapter, the guide explains the various statistical methods that can be used to analyze Mendelian randomization data. It covers techniques such as inverse variance weighting, MR-Egger regression, and bi-directional Mendelian randomization, and provides guidance on how to choose the most appropriate method for a given study.Chapter 5: Interpretation and ReportingThe final chapter of the guide focuses on the interpretation and reporting of Mendelian randomization results. It discusses how to assess the strength of causal inference, consider potential biases, and communicate findings effectively in research papers and presentations.ConclusionThe "Guide to Mendelian Randomization Studies" is a valuable resource for researchers who are interested in using genetic data to investigate causal relationships in epidemiological studies. By following the guidance provided in the guide, researchers can enhance the rigor and validity of their Mendelian randomization studies and contribute to a better understanding of the determinants of complex traits and diseases.。
hypotheses
hypothesesHypothesesIntroductionIn the world of scientific research, hypotheses play a critical role in the formulation of experiments and studies. A hypothesis is a statement or assumption that is made based on limited evidence or observations and serves as a starting point for further investigation. This document aims to explore the concept of hypotheses, their importance, and how they are formulated and tested in various scientific disciplines.What is a Hypothesis?A hypothesis is a proposed explanation or prediction for a phenomenon or a question that can be tested. It is an essential element of the scientific method and is used to guide research and experiments. Hypotheses are usually based on existing knowledge, previous observations, or theories, and serve as an attempt to explain or predict a particular phenomena.Formulating a HypothesisThe process of formulating a hypothesis requires careful consideration of the existing knowledge and evidence. To develop a hypothesis, researchers typically follow a few key steps:1. Identify the research question: The first step in formulatinga hypothesis is to clearly identify the research question or problem that needs to be addressed. This question should be specific and focused to provide a clear direction for the research.2. Review existing knowledge: Once the research question is identified, it is important to review the existing knowledge and literature related to the topic. This helps in understanding previous findings and theories that can inform the formulation of a hypothesis.3. Generate possible explanations: Based on the existing knowledge, researchers generate possible explanations or predictions for the research question. These explanations are known as hypotheses and should be testable and falsifiable.4. Refine the hypothesis: After generating the initial hypotheses, researchers refine and narrow down the options to develop a more focused and specific hypothesis. This is done by considering factors such as feasibility, relevance, and available resources.Testing a HypothesisOnce a hypothesis is formulated, it needs to be tested through experimentation or observation. The process of testing a hypothesis involves the following steps:1. Design the experiment: The researcher designs an experiment or study that will allow them to collect data and test the hypothesis. The design of the experiment should be carefully planned to ensure that it provides valid and reliable results.2. Collect and analyze data: During the experiment, data is collected and analyzed to determine whether the results support or refute the hypothesis. Statistical analysis is often used to evaluate the significance of the findings and to draw meaningful conclusions.3. Draw conclusions: Based on the analysis of the data, the researcher draws conclusions about the hypothesis. If the results support the hypothesis, it is considered to be validated. On the other hand, if the results contradict the hypothesis, it may be necessary to revise the hypothesis or develop new ones for further investigation.Importance of Hypotheses in Scientific ResearchHypotheses are a fundamental aspect of scientific research for several reasons:1. Guiding research: Hypotheses provide a clear direction for research, allowing researchers to focus their efforts on specific questions or problems. They help in organizing the research process and ensuring that it is purposeful and systematic.2. Promoting objectivity: Hypotheses help in maintaining objectivity in scientific research by providing a framework for testing and evaluating ideas. They prevent bias and ensure that the research is based on evidence and logic rather than personal opinions or beliefs.3. Advancing knowledge: By formulating hypotheses and testing them through rigorous experimentation, researchers contribute to the advancement of knowledge in their respective fields. Hypotheses that are supported by evidence can lead to new discoveries and insights.4. Identifying limitations: Hypotheses allow researchers to identify and address the limitations of existing knowledge and theories. They highlight the gaps in understanding and provide opportunities for further investigation and refinement of theories.ConclusionHypotheses are a critical component of scientific research. They provide a starting point for investigation, guide research efforts, and contribute to the advancement of knowledge. By formulating and testing hypotheses, researchers can better understand the world around us and make meaningful contributions to their respective fields.。
分子生态学名词解释
一、翻译并解释名词:(10x4分)1.allele 等位基因一个位点的序列变异。
2.Effective population size (Ne) 有效种群大小在一个具有相等性比、随机交配的理想种群中表现出与特定统计(全部成体数目)规模相对应的真实的种群杂合性随时间丧失的速率相同的个体数。
3.F-statistics F 统计检验用于评估个体间、亚种群间和整个种群间杂合性的分布的统计方法,被广泛应用于定量亚种群的遗传分化。
4.Genetic load 遗传负荷相对于理论最佳值来说降低了的基因型适合度。
5.Hardy-Weiberg equilibrium哈温平衡当所有等位基因频率是已知的时候,在一个大的随机交配种群中的纯合子和杂合子的预期比例。
假设没有迁移、突变或选择作用,哈温平衡定律则认为等位基因频率从一个世代到下一个世代应该保持不变。
6.Bottleneck effect瓶颈效应种群的规模大为缩小,随后常常有一个(种群的)恢复。
7.Selection sweep选择扫荡。
课件:Occurrence of a beneficial mutation,Only individuals carrying the mutation reproduce,‘Population bottleneck’,Mainly affects linked loci。
8.IAM 无限等位基因模型其中突变不是以可预料的方式一个接一个发生,而大多数突变是像产生SNP(单核苷酸多态性)那样出现的。
9.Linkage disequilibrium (LD) 连锁不平衡。
术语表:Linkage equilibrium 连锁平衡:由重组促成的情形,其中遗传位点在繁殖期相互独立分离。
当两个位点上的等位基因一起分离时,如他们在同一个染色体上的物理位置太接近时,则发生不平衡。
百度:连锁平衡:HLA 不同基因座位的各等位基因在人群中以一定的频率出现。
thesis的英文名词解释
thesis的英文名词解释Thesis: Unveiling the Epitome of Academic InquiryIntroductionIn the realm of academia, the term "thesis" holds an esteemed position, symbolizing the culmination of scholarly rigor, in-depth research, and critical analysis. Universally acknowledged as a prerequisite for the successful completion of undergraduate, postgraduate, and doctoral degrees, the thesis represents the pinnacle of academic achievement. This article delves into the various dimensions of the thesis, shedding light on its multifaceted nature and emphasizing its significance within the academic community.1. Defining the ThesisAt its core, a thesis is an extended written discourse that serves as a comprehensive exploration of a specific research question or hypothesis. It embodies the culmination of a student's academic journey, allowing individuals to showcase their mastery of a subject matter within a particular field of study. A thesis encompasses numerous elements, such as literature review, methodology, data analysis, and conclusion; often accompanied by substantiating evidence and scholarly references.2. Research and AnalysisThe research process is the foundation upon which a thesis is built. Students engage in an extensive literature review, scouring academic databases, journals, and books to identify gaps in knowledge and contribute novel insights to the chosen field. With gathered information, researchers employ critical and analytical thinking skills to examine the existing body of knowledge and formulate research questions. These questions guide the data collection process, helping to refine and answer the central thesis question.3. Data Collection and Analysis TechniquesThe chosen methodology determines the data collection techniques employed within a thesis. Whether quantitative, qualitative, or a combination of both, researchers adopt methodologies that best suit their research aims and objectives. Surveys, interviews, experiments, observations, and content analysis are just a few examples of the strategies employed to acquire pertinent data. Thorough data analysis techniques, such as statistical analysis or thematic coding, allow for the identification of trends, patterns, and correlations, enabling researchers to draw meaningful inferences and conclusions.4. Structure and OrganizationA well-crafted thesis adheres to a logical structure and organization, facilitating the reader's comprehension and engagement. Typically, a thesis comprises the following sections: introduction, literature review, methodology, results/findings, discussion, and conclusion. Each section serves a distinct purpose, guiding the reader through a coherent and systematic exploration of the research question. Furthermore, within each section, clear and concise subheadings help delineate the flow of ideas and arguments, ensuring clarity and coherence.5. Intellectual Contribution and OriginalityOne of the primary objectives of a thesis is to provide an intellectual contribution to the chosen field of study. Students are encouraged to identify gaps in existing knowledge and devise novel approaches to solving complex problems. Originality, creativity, and critical thinking are highly valued, as students are expected to go beyond mere regurgitation of established theories and instead present fresh perspectives and innovative ideas. By doing so, students contribute to the expanding body of knowledge in their respective fields.6. Demonstrating Proficiency in Academic WritingAn important aspect of a thesis is the demonstration of proficiency in academic writing. Students are expected to uphold high standards of scholarly writing by employing appropriate language, adhering to referencing conventions, and demonstrating clarity of thought. An effective thesis showcases the ability to communicate complexconcepts and findings concisely, engaging the reader and conveying the essence of the research.ConclusionThe thesis represents a significant milestone in one's academic journey, encapsulating the challenging endeavor of conducting extensive research, analyzing data, and making original contributions to a given field of study. It embodies the culmination of years of academic training, critical thinking, and intellectual exploration. The thesis goes beyond being a mere requirement for academic degrees; rather, it stands as a testament to an individual's determination, knowledge acquisition, and passion for knowledge dissemination.。
关于假说的英文作文题目
关于假说的英文作文题目英文:As a student, I have always been fascinated by the concept of hypothesis. A hypothesis is essentially an educated guess or a proposed explanation for a phenomenon. It is a crucial part of the scientific method, as it provides a starting point for further investigation and experimentation.One classic example of a hypothesis is the statement "the higher the temperature, the faster the water will boil." This hypothesis can be tested by conducting an experiment in which water is heated to different temperatures and the time it takes to boil is recorded. If the results consistently support the hypothesis, it can be considered valid.Another example is the hypothesis that "plants will grow taller if they receive more sunlight." This can betested by placing identical plants in different light conditions and measuring their growth over time. If the plants exposed to more sunlight indeed grow taller, the hypothesis is supported.Hypotheses can also be used in everyday life. For instance, if I hypothesize that studying for an extra hour each day will improve my grades, I can test this by implementing the study habit and monitoring my academic performance. If my grades do improve, it would provide evidence in support of my hypothesis.In Chinese, 假设是科学研究中的一个重要环节,它是对某一现象的推测或者解释。
问题解决7步法 英文版(7_steps_to_master_training_deck)
How should X bank restructure its broker relationships to make better returns
Not disputable and too general
What set and sequence of initiatives should X bank implement to cement its more profitable broker relationships and to change the laws of remunerating the larger number of unprofitable relationships?
• Be hypothesis and endproduct oriented • Start with order of magnitude • “Porpoise” between hypothesis and data • Keep the analyses simple • Be flexible in the face of new data • Be creative
Weekly cycle
Define problem
4
Develop Workplan
Gather Data & Analyse Critically
5
7 6
Synthesize & Iterate Build Commitme nt
Evaluation X bank is losing money on broker introduced business and needs a plan to fix it Statement of fact
非等位基因
非等位基因概述非等位基因是指同一基因座上的不同等位基因。
等位基因是指在某个给定的基因座上,可以存在多种不同的变体。
每个个体继承了一对等位基因,一对等位基因可能会导致不同的表型表达。
非等位基因的存在使得遗传学研究更加复杂,因为不同的等位基因会对个体的表型产生不同的影响。
背景在生物学中,基因座是指染色体上一个特定的位置,该位置上的基因决定了某个特征的表达方式。
每个基因座上可以有多种不同的等位基因。
等位基因是指在某个特定基因座上的不同基因变体。
每个个体都会继承一对等位基因,通过这对等位基因的不同组合,决定了个体的表型。
然而,并非所有基因座上的等位基因都具有相同的表现型。
非等位基因的影响非等位基因的存在导致不同等位基因会对个体表型产生不同的影响。
有些非等位基因会表现出显性效应,也就是说,当个体继承了一个突变的等位基因时,即使同时继承了一个正常的等位基因,但显性效应会使得突变的等位基因的表型表达得到体现。
相反,有些非等位基因会表现出隐性效应,当个体继承了两个突变的等位基因时,才会表现出突变的表型。
除了显性和隐性效应之外,非等位基因还可能发生两种其他类型的表型效应。
一种是共显效应,当个体继承了两个不同的突变等位基因时,在表型表达上会表现出一种新的特征,这个特征并不是单个突变等位基因所能导致的。
另一种是部分显性效应,当个体继承了两个不同的突变等位基因时,表型表达将介于两个单独突变等位基因的表型之间。
重组和非等位基因重组是指两个不同的染色体交换部分基因序列的过程。
在重组的过程中,非等位基因可能会发生改变,导致新的等位基因组合形成。
这一过程使得非等位基因的表型效应更加复杂,因为新的等位基因可能将不同基因座的效应组合起来。
非等位基因的重要性非等位基因对生物的适应性和多样性起着重要作用。
通过对等位基因的各种组合的研究,人们可以更好地理解基因与表型之间的关系,并揭示遗传变异对物种适应环境的重要性。
总结非等位基因是指同一基因座上的不同等位基因。
【内科学试题及答案】甲状腺疾病
【内科学试题及答案】甲状腺疾病甲状腺疾病习题Translate and explanate:1.hyperthyroidism2.TSH receptor antibody3.hyperthyroidic heart disease4.subclinical hyperthyroidism5.apathetic hyperthyroidismQuestion and answer:1.Please explanate the three types of TSH receptor antibodies.2.Please state the three thyroid antibodies occuring in Graves disease,3. Which of the two antibodies can be used as a sign of Graves ophthalmopathy activities?4. what is the Induced factors of Thyrotoxic periodic paralysis ?5. what is characterized of Hematopoietic system when hyperthyroidism?6.Which causes can make thyroid-hormone bindingimmunoglobulins change,7. what is the most sensitive indicator to reflect Thyroid function?1318. Which diseases were been found that the uptake rate of Iincrease or reduce (Give an example respectivly) ? 9.What is the diagnosis stantard for hyperthyroidism,10. What are the adverse reactions of Antithyroid drugs? 11.What is the mechanism of thyroid crisis,12. What are the main inducement of Hyperthyroidism crisis? Statements:1. what of clinical manifestations of Graves Simple ocular symptoms?2.Please state the peculiar clinical features and types of Graves disease,3.W hat is indications of Antithyroid drug treatment?4.what are kinds and action mechanism of Antithyroid drug? Given two representatives of drugs respectivly5.What are the clinical features of thyroid crisis,6.Please state the salvage principle of thyroid crisis,单选题:1. TSH receptor is a kind of G-protein-coupled receptor family ,and composed by __ amino acid .A.544B.644C.744D.844E.444 2. The highest positive rate of antibody in patients with GravesA.TPOAbB.TgAb C . TRAb D.NIS E.TSBAb3. The antibody that could reflect the disease activity markers in blood circulation of patients with Graves ophthalmopathyA. D.针对眼外肌的抗体B. TRAbC. TPOAbD. TgAb4. The most common disorders of the heart rate in patients withhyperthyroidismA.心房颤动B.室性早博C.房室传导阻滞D.交界性早博E.室速5. The age of morbidity of thyrotoxic periodic paralysisA.40-50岁B.50-60岁C.60-70岁D.20-40岁E.10-20岁6. Mild degree of hyperthyroidism exophthalmos in general does not exceed A.16mm B.18mm C.20mm D.22mm7. The sequence relations of occurrence of hyperthyroidism and Graves ophthalmopathyA.45%两者同时发生B.43%两者同时发生C.45%甲亢先于Graves眼病发生D.46%甲亢先于Graves眼病发生E.47%甲亢先于Graves眼病发生8. Serum ___is a reflection of the most sensitive indicator of thyroid functionA. FTB.FTC.TSHD. TRAb 3 4E. TgAb9. what is hyperthyroidism drug therapy adverse reactions?A.粒细胞减少B.皮疹C.中毒性肝炎D.血管神经性水肿E.急性关节炎10. The preferred choose drug is given during the full pregnancyA.丙基硫氧嘧啶B.甲基硫氧嘧啶C.他巴唑D.甲亢平E.心得安11. Thyrotoxic crisis is the most commonly found A. 甲亢口服药治疗时 B. 甲亢合并感染时 C. 妊娠期甲亢 D.淡漠型甲亢 E. 甲亢手术治疗后 12. the main clinical manifestations of thyrotoxic crisis :A. 呕吐、腹泻、脱水、休克、心慌气短B. 心率加速、血压增高、脉压增大C 高热、脉率快、焦虑、大汗、呕吐、失水、休克 D.肺水肿、全身浮肿E 心慌、心率略快、血压下降、体温略高多选题:1. The thyroid antibodies related with Graves disease A . TRAb B.TB?C.TPOAbD.TgAbE.TSBAb 2. The antibodies as a sign of disease activity in patients with GravesophthalmopathyA. TPOAbB. TgAbC.针对眶后成纤维细胞的自身抗体D.针对眼外肌的自身抗体E. TRAb3. the performance of cardiovascular system when hyperthyroidism A.心悸气短 B.第一心音亢进 C.房颤多见 D.脉压差大 E.收缩压升高4. the performance of hematopoietic system whenhyperthyroidism A.淋巴细胞比例增加 B.单核细胞增加 C.白细胞总数减低D.可伴发血小板减少性紫癜E.白细胞总数增加5.The diagnosis of hyperthyroidismA.高代谢症状和体征B.甲状腺肿伴或不伴血管杂音C.血清FT增高 4D.TSH减低E.高代谢体征6. The diagnosis of Graves disease A.甲亢诊断成立 B.甲状腺肿大成弥漫性 C.伴浸润性突眼D. TRAb 和TSAb阳性E.胫前粘液性水肿7. Hyperthyroidism and thyroiditis-induced thyrotoxicosis resultingin leakage of thyroid hormone-induced identification131 A.病史 B.甲状腺体征 C.I摄碘率 D.FT)FT 34E.ECT8. Inhibit the synthesis of thyroid hormone drugA.硫脲类B.咪唑类C.β-受体阻滞剂D.激素E.碘剂9. Indication for drug treatment of hyperthyroidism A.孕妇 B.术前准备 C.年龄,20岁 D.甲状腺轻中度肿大 E.压迫症状10. Adverse effects of drug treatment of hyperthyroidismA.粒细胞减少B.皮疹C.中毒性肝炎D.胆汁淤积性黄疸 E.急性关节炎11. The characteristic of Hyperthyroidism crisis131A. 多见于感染,各种应急时 B. 最常见于I治疗的后期 C. 可能与交感神经兴奋有关D. 心率一般在120~140次/分E. 可伴心衰和肺水肿甲状腺疾病习题答案一、单选题答案1.C2.C3.A4.A5.D6.B7.B8.B9.E 10.A 11.B 12.C二、多选题答案1.ABCDE2.CD3.ABCDE4.ABCD5.ABCDE6.ABCDE7.ABCDE 8.AB 9.ABCDE 10.ABCDE 11. ACE三)名词解释答案:1.简称甲亢,是指甲状腺腺体本身产生甲状腺激素过多而引起的甲状腺毒症,其病因包括弥漫性毒性甲状腺肿、结节性毒性甲状腺肿和甲状腺自主高功能腺瘤。
伯氏疏螺旋体 英文
伯氏疏螺旋体英文Title: Borrelia burgdorferi: An Insight into the Lyme Disease PathogenBorrelia burgdorferi, also known as Lyme disease spirochete, is a bacterial species belonging to the genus Borrelia within the spirochete family. It is a Gram-negative, microaerophilic organism that possesses a unique helical shape, characterized by 3 to 10 sparse spirals under microscopic examination. These spirochetes arefurther distinguished by their flagella, visible under electron microscopy, with 7 to 15 flagella at each end.The significance of Borrelia burgdorferi lies in its role as the causative agent of Lyme disease, a tick-borne infection that affects humans and other animals. Lyme disease is a multisystemic illness that can manifest with a range of symptoms, including skin rashes, arthritic pain, neurological problems, and cardiac abnormalities. The spirochete is transmitted to humans through the bite of infected ticks, primarily the Ixodes species.The lifecycle of Borrelia burgdorferi is intricately linked to its arthropod hosts. It spends part of its lifecycle within the tick, undergoing multiple stages of development before being transmitted to a new host. Once inside the host, the spirochete can disseminate throughout the body, invading various tissues and organs.The pathogenesis of Lyme disease involves complex interactions between Borrelia burgdorferi and the host's immune system. The spirochete possesses various virulence factors that enable it to evade immune clearance andpersist within the host. These factors include adhesinsthat facilitate attachment to host cells, proteases that degrade host proteins, and antigenic variation that allows the spirochete to evade immune recognition.The diagnosis of Lyme disease can be challenging due to the variable presentation of symptoms and the absence of a single, reliable diagnostic test. However, a combination of clinical symptoms, serological testing, and, in some cases, molecular detection methods can aid in the diagnosis. Treatment typically involves the administration ofantibiotics, which can effectively eliminate the spirochete in the early stages of infection.The ecology and epidemiology of Borrelia burgdorferi are also fascinating aspects of its biology. The spirochete is endemic in certain geographical regions, particularly those with high tick populations. Climate change and other environmental factors have been implicated in the expansion of tick habitats and, consequently, the increasing incidence of Lyme disease.Moreover, Borrelia burgdorferi exhibits genetic diversity, with multiple strains and subspecies identified. This diversity contributes to the variable clinical manifestations of Lyme disease and poses challenges for vaccine development and therapeutic strategies.Research into Borrelia burgdorferi and Lyme disease continues to evolve, with scientists seeking to better understand the spirochete's biology, pathogenesis, andhost-parasite interactions. This knowledge is crucial for developing more effective diagnostic tools, treatment options, and, ultimately, prevention strategies againstthis debilitating disease.In conclusion, Borrelia burgdorferi, the causativeagent of Lyme disease, is a complex and fascinatingorganism that holds significant implications for public health. Its unique biology and ability to evade immune clearance make it a challenging pathogen to combat. However, through continued research and innovation, we may one day find the key to preventing and effectively treating this debilitating disease.。
The_Sapir-Whorf_Hypothesis
Language limits our thoughts
Sexual discrimination
Businessman Policeman Waiter Actor
Bitch Ass Nightmare 噩梦(母马)
Translation in Chinese
馄饨 米粉 上海青
肚兜
Cultural and geographic differences contribute to this problem
Translation in other ges
OMELETTE 煎蛋卷 作法是把一层 煎蛋卷起来, 里面包火 腿, 培根或是洋葱, 青椒 , 洋菇甚至是牛排等料
Cannelloni 意大利面食的一种,一 般用干酪加蔬菜或肉做 馅,如RICOTTA配南瓜 ,配菠菜
Brownie 布朗尼 算是蛋糕的 一种, Brownie 通常 较薄且较结实, 不像 蛋糕松松的, 而且一 定是巧克力口味, 上 面还会放杏仁或花生 作装饰及调味. 通常 很甜.
伤不起 啃老族 xoxo 蚁族
Language is a guide to “social reality”.
• The “real world” is to a large extent unconsciously built up on the language habits of the group . • No two languages are ever sufficiently similar to be considered as representing the same social reality.
language may determine our thinking patterns;
hypophysis serves名词解释
hypophysis serves名词解释The term "hypophysis" refers to the pituitary gland, a small pea-sized gland located at the base of the brain. It is often called the "master gland" because it regulates and controls the functions of other endocrine glands in the body.1. The hypophysis secretes various hormones that play a crucial role in regulating growth, metabolism, reproduction, and other bodily functions.2. The function of the hypophysis is to release hormones that control the production and release of hormones by other glands.3. The hypophysis is connected to the hypothalamus by a stalk called the infundibulum.4. The hypophysis is divided into two parts: the anterior pituitary (adenohypophysis) and the posterior pituitary (neurohypophysis).5. The anterior pituitary produces and releases hormones, such as growth hormone, thyroid-stimulating hormone, and follicle-stimulating hormone.6. The posterior pituitary stores and releases two hormones produced by the hypothalamus: oxytocin and antidiuretic hormone.7. Dysfunction of the hypophysis can lead to various hormonal disorders, such as acromegaly, Cushing's disease, and diabetes insipidus.8. The hypophysis is regulated by the hypothalamus through a network of blood vessels and hormones.9. The hypophysis can be affected by tumors, infections, or trauma, which may require medical intervention.10. Surgical removal or radiation therapy of the hypophysis can result in hormone deficiencies that require hormone replacement therapy.11. The hypophysis plays a crucial role in reproductive functions, as it regulates the production of sex hormones and controls the menstrual cycle in females.12. The hypophysis is responsible for the production and release of prolactin, a hormone essential for milk production in lactating females.13. The development and growth of the hypophysis starts during embryonic development and continues throughout childhood and adolescence.14. The hypophysis is sometimes referred to as the "command center" of the endocrine system.15. Pituitary adenomas are the most common type of tumor that can develop in the hypophysis.16. Hormones secreted by the hypophysis act on target organs to maintain homeostasis within the body.17. The hypophysis coordinates the stress response by releasing adrenocorticotropic hormone during times of physiological or psychological stress.18. The hypophysis works in conjunction with the hypothalamus to regulate body temperature, thirst, hunger, and sleep.19. Disruptions in hypophyseal hormones can lead to growth disorders, such as dwarfism or gigantism.20. Imbalances in hypophyseal hormones can also cause infertility or abnormal sexual development.21. The hypophysis releases luteinizing hormone, which triggers ovulation in females and testosterone production in males.22. Hormones released by the hypophysis can travel through the bloodstream to reach their target organs and exert their effects.23. The hypophysis is composed of different types of cells, each producing specific hormones.24. Diseases or disorders that affect the hypophysis can result in hormonal imbalances that may require lifelong treatment.25. The hypophysis is responsible for regulating the body's response to stress and maintaining overall hormonal balance.26. The hypophysis is influenced by feedback mechanisms that regulate hormone production and release.27. The hypophysis can be negatively impacted by certain medications or medical conditions, leading to hormonal disturbances.28. The proper functioning of the hypophysis is crucial for overall health and well-being.。
大坍缩假说 英语
大坍缩假说英语The Big Crunch HypothesisThe Big Crunch hypothesis is a theory about the ultimate fate of the universe. According to this theory, the universe will eventually stop expanding and start contracting until it collapses in on itself in a massive implosion. This event is known as the 'Big Crunch.'The hypothesis is based on the idea that the universe is not only expanding but also has a finite amount of matter and energy. As the universe expands, the gravitational pull between galaxies slows down the expansion. Eventually, the pull becomes strong enough to overcome the expansion, and the universe starts to contract.The contraction will continue until all the matter and energy in the universe is compressed into a single point of infinite density, known as a singularity. This is similar to the Big Bang theory, which states that the universe began as a singularity that exploded and expanded rapidly.If the Big Crunch hypothesis is correct, it means that the universe is cyclical, with a series of expansions and contractions. Each expansion and contraction is known as a 'cosmic cycle.' However, there is still much debate amongscientists about whether or not this theory is accurate.One of the challenges to the Big Crunch hypothesis is the discovery that the expansion of the universe is actually accelerating. This suggests that the gravitational pull between galaxies is not strong enough to slow down the expansion, which means that the universe may continue to expand indefinitely.Regardless of whether or not the Big Crunch theory is proven correct, it remains one of the most intriguing ideas about the destiny of our universe.。
BasicsofHypothesisTesting-CollegeofWilliamMary
Basics of Hypothesis Testing1Hypothesis testing is a handy way to carry out some statistical inference about the population based on sample information. First, we need a sample . . . we generally assume that sample has a normal distribution, with common mean and variance, in order to do the majority of our testing.2 Put mathematically, we’re hoping that X~N[µ,σ2]. We then use our sample mean to make statements about the population mean µ. Depending on what type of statement we’re making, we use either a one-tailed or a two-tailed test. Both tests require the calculation of a t statistic.The T StatisticThe first piece of information we need is a T statistic for our data, which is given byT=x −µsnwhere x is our sample mean, µ is the hypothesized population mean, s is our estimated standard deviation, and n is our sample size. If you were looking at a table of summary statistics, the denominator could be derived in two ways; either divide the estimated standard deviation by the root of the sample size, or just take use standard error statistic.3 We also need a critical t value, which is calculated independent of our data (minus the fact that degrees of freedom are related to n). It is determined by the distribution of a t statistic, and will be based off only our significance level and our degrees of freedom.4 Back in the day, the critical t value used to be found using tables in the back of stat books. For this class, we often use Excel to get the critical t. To do so, the formula is:=TINV(α, df) or =TINV((2*α, df))where α is the significance level we’re going to use for our test. The formula on the left applies for 2-tailed tests, while the formula on the right applies for 1-tailed tests. Aside: Midterm1 This handout is a brief review of material covered in lecture and the course notes. It is my production, and not that of Dr. Cameron. It should not be considered as a substitute for or modification of any course material. In any case of discrepancy, Dr. Cameron’s material supersedes any notes made here.2 This assumption makes the t test the most powerful test on the population mean.3 The standard error measures the variability in the mean of our sample. Since the mean is an average, it is always going to be less variable than any one particular random draw. The larger the number of draws taken from a normal distribution, the less variable the mean is going to be, as data will naturally begin to cluster around a particular value. That’s why we use the root of n to scale down our error.4 In this case, our degrees of freedom is given by (n-1), because we have lost one degree of freedom when we estimated the variable s.Make sure you’re familiar with this formulation. Consider this information provided on one of Dr. Cameron’s past midterms:TINV(0.01,50) 2.67779TINV(0.10,50) 1.64787You will be asked to do hypothesis testing, and you’ll need to know which applicable critical t to use. For example, if he asked you to do a two-tailed test with a significance level of 0.01 and 50 degrees of freedom, the first one (2.678) would be appropriate. If he asked you to do a one-tailed test with a significance level of 0.05, you’d want the second value (1.648).After we get our critical t value, we compare it to the T calculated using our data. If we’re doing a two-tailed test, we reject the null whenever the absolute value of our T is greater than the critical t. If we’re doing a one-tailed test, our rejection region depends on which test we’re using. We’ll go into more detail on that in a second.Significance LevelsOur α is chosen by deciding how certain we want to be in our testing. We could be 100 percent certain about our inference if we were general enough, but then the inference would be pretty useless. Instead, we allow ourselves a little bit of an error cushion in exchange for being allowed to make some more specific statements. The amount of error we want to allow is our significance level.Say we choose a significance level of 0.05. That means that if our data tells us to reject our null hypothesis, 95% of the time we’d be correct to do so, but 5% of the time we will reject when we shouldn’t. A significance level of 0.01 means that 99% of the time we’d be correct to reject the null, while 1% of the time we’d be wrong to do so. Similar logic applies with any specified significance level.A little intuition using the two-tailed caseLike any other random variable, the T value calculated from our data has a particular distribution. As the T value gets larger and larger in absolute value, there is a lower and lower probability of seeing such values if the null hypothesis is true. When we run a hypothesis test, we see if the T statistic falls toward the center or toward the tails. Whenever it falls too far out in the tails (too far being determined by our critical t statistic), we say there is a low probability that we would see that value if it our null were true, and reject the null.There two reasons that we could find we should reject our null. First, it could be that our null hypothesis is incorrect, which is supported by our sample data. Second, it could be that our null hypothesis is correct, but our sample data is way off base (i.e. we got a strange sample for one reason or another).When we use a significance level of 0.05, we’re setting it up so that 95% of the time, if our data tells us to reject the null, it is because in fact the null hypothesis is incorrect. That other 5% of the time, we’re rejecting when we shouldn’t, because our sample just happens to be strange and is leading us to the wrong conclusion about the population.The P ValueP values are another way of deciding if we should or shouldn’t reject the null hypothesis. The formula in Excel is=TDIST(T, df, tails)where T is equal to the t statistic calculated using our data, df is again our degrees of freedom, and tails is telling Excel if we’re doing a 1 or 2-tailed test.The p value tells us what the probability of incorrectly rejecting the null hypothesis given a particular value for T. For example, a p value of 0.023 would mean that given our T stat, we will be incorrectly rejecting the null 2.3% of the time. A p value of 0.359 would mean that given our T, we would be wrong to reject the null 58.2% of the time. Whenever the p value is LESS than the significance level at which we’re testing, we reject the null. Say we were testing at a 5% significance level. Than the p value of 2.3% would mean that we reject our null (what with 2.3 < 5) whereas the 35.9% would mean we fail to reject (as 35.9 > 5).Two-tailed vs. One-Tailed TestsTold you we’d come back to this. There are two differences worth noting between two-tailed and one-tailed tests. The first is what we consider to be our rejection region in the t distribution. For a two-tailed test, we reject if our T statistic is too extreme in either direction. In other words, we reject if the absolute value of our T is greater than the critical t. For a one-tailed test, our rejection region depends on our null hypothesis.5•If our null hypothesis is that µ is less than or equal to µ0, then the rejection region is in the upper tail (i.e. a very positive T)•If our null hypothesis is that µ is greater than or equal to µ0, then the rejection region is in the lower tail (i.e. a very negative T)The other difference is how we formulate our question. For a two-tailed test, the null is always that µ is equal to some value, where the alternative is that µ is not. For a one-tailed test, the null hypothesis is determined by what we are trying to test. As a general rule, we try to make our hypothesis to be tested the alternative (H A), because it is harder to reject the null than to accept. Said another way:5 A good general overview of hypothesis testing, including null formulation and rejection regions, is on page 54 of the class reader.•If the hypothesis to be tested is that µ is greater than µ0, then we make the null hypothesis that µ is less than or equal to µ0.•If the hypothesis to be tested is that µ is less than µ0, then we make the null hypothesis µ is less than or equal to µ0.。
ExamplesofSomeSimpleHypothesisTests:一些简单的假设检验的例子
Hypothesis Tests – Some ExamplesExample 1: Directional hypothesis test for a population mean.The U. S. Food and Drug Administration recommends that individuals consume 1000 mg of calcium daily. The International Dairy Foods Association (IDFA) sponsors and advertisingcampaign aimed at male teenagers to try to increase calcium consumption. After the campaign, the IDFA obtained a random sample of 50 male teenagers and found that the mean amount of calcium consumed was =x 1081 mg, with a standard deviation of s = 426 mg. Conduct a test to determine whether the campaign was effective. Use the α = 0.05 level of significance.We want to prove that the mean, μ, calcium consumption for male teenagers is greater than the FDA recommendation of 1000 mg per day. Hence,Step 1: H 0: μ ≤ 1000 mg. versus H a : μ > 1000 mg.Note that the alternative hypothesis states what we are trying to prove; the null hypothesis states the opposite. Step 2: n = 50, α = 0.05Note that in the real world, we would decide on a value for α based on our examination of the possible consequences of the two possible types of mistakes we could make – a Type I error or a Type II error.In this situation, a Type I error would be that we concluded that the campaign did convince male teenagers to increase their calcium consumption, when in fact it did not. Possibleconsequences might be that the IDFA would continue to fund the ad campaign, not realizing that it did not work.A Type II error would be to fail to conclude that male teenagers were consuming enough calcium, when in fact they are. The IDFA might then stop its ad campaign, even though it would be effective in convincing male teenagers to consume enough calcium. Step 3: Since we are testing a hypothesis about a population mean, the test statistic is⎪⎪⎭⎫ ⎝⎛-=501000S mg X T , which under H 0 has a t distribution with d.f. = 49. Step 4: The alternative hypothesis says “greater than.” Therefore the rejection region is a right -hand tail of the t-distribution. The area of this right-hand tail is 0.05, our chosen significance level. The rejection region looks like:Step 5: Now, we select the random sample from the population, collect the data, and do the calculations. We find that =x 1081 mg, s = 426 mg, t = 1.3445, and p-value = 0.0925. The p-value is greater than our chosen significance level. Step 6: We fail to reject H 0 at the 0.05 level of significance. We do not have sufficient evidence to conclude that the mean daily calcium consumption by male teenagers is greater than the FDA recommended amount of 1000 mg.Example 2: Hypothesis test about a population proportion.In 1995, 40% of adults aged 18 years or older reported that they had “a great deal” ofconfidence in the public schools. On June 1, 2005, the Gallup Organization released results of a poll in which 372 of 1004 adults aged 18 years or older stated that the y had “a great deal” ofconfidence in the public schools. Does the evidence suggest that the proportion of adults aged 18 years or older having “a great deal” of confidence in the public schools has decreased between 1995 and 2005? Use α = 0.05.Since we are testing hypotheses about a population proportion, we are collecting the data using a binomial experiment. There are 1004 trials in the experiment. The trials are independent of each other due to random sampling. The trials are identical to each other because each trial consists of randomly selecting an adult and asking whether he/she has “a great deal” of confidence in the public schools. There are two possible outcomes for each trial: either the person says, “Yes” or the person says, “No.” Due to random sampling, the probability of success is the same for each trial, namely the fraction of the population who would say, “Yes .”Step 1: H 0: p ≥ 0.40 versus H a : p < 0.40 Step 2: n = 1004, α = 0.05 Step 3: The test statistic is ()()100460.040.040.0ˆ-=p Z , which under H 0 has an approximate standard normal distribution.Step 4: The rejection region is:Step 5: Now, we select the random sample from the population, collect the data, and do thecalculations. We find that 3705.01004372ˆ==p , z = -1.9069, and p-value = 0.0283. The p-value is less than our chosen significance level.Step 6: We reject H 0 at the 0.05 level of significance. We have sufficient evidence to conclude that the fraction of adults 18 years or older who have “a great deal” of confidence in the public schools decreased between 1995 and 2005.。
曲阜师范大学分子复习资料
Molecular BiologyThere are 2 methods scientists use to study biology.1. Discovery science (发现科学)2. Hypothesis-driven science (假设驱动的科学)The steps in hypothesis-driven science are:1. observations of phenomena2. formation of a question about the observations3. formation of a hypothesis to answer the question4. Making a prediction that allows the hypothesis to be tested5. Testing the hypothesisBased on the results of the testing the hypothesis will be accepted or rejected.Nucleic Acids Convey Genetic InformationGriffith experiment Hershey-Chase experimentFurther analysis of the nucleic acids revealed that there were 4 nucleotides.A. Griffith experiment (格里菲斯实验)There are 2 types of Streptococcus pneumoniae.1. smooth: the bacteria have a polysaccharide capsule that protects them from the immune system. It also gives the colonies a smooth appearance.2. rough: the bacteria lack the capsule and are destroyed by the immune system. They produce rough colonies.B. Chemical Analysis of the Transforming PrincipleC. Hershey-Chase experimentIn 1952 Hershey and Chase performed an important experiment that finally convinced most scientists that DNA is the hereditary material. This is called the Hershey-Chase experiment (赫尔希- 蔡斯实验)Scientists Hershey and Chase used bacteriophage T2. (also called phage)Bacteriophages (噬菌体)32P (pronounced P 32) is radioactive phosphorus. It can be incorporated into DNA (脱氧核糖核酸) , which contains phosphates.35S is radioactive sulfur. It can be incorporated into proteins (蛋白质) which contain sulfur. Pellet supernatant (the liquid part 上清液).Summary of Hershey-Chase experimentT2 DNA was labeled with 32P and separately T2 protein was labeled with 35S.E. coli were infected with the T2 samples and then the T2 were removed from the surface of the bacteria by agitation in a blender.The 35S protein did not enter the E. coli, but the 32P DNA did enter the E. coli.It is called a paradigm shift (模式的转变) when scientists change the way they think about an important aspect of science.D. DNA is a double-stranded helixIn 1953 James Watson and Francis Crick solved the structure of DNA.They showed that DNA forms a double-stranded helix .Watson and Crick did not do any experiments themselves. They knew about the results of some other scientists’ research and used this to produce their model for DNA structure.They had the results from 2 kinds of experiments:1. Erwin Chargaff analyzed the composition of DNA from many different species. He found theconcentration of thymine was equal to the concentration of adenine. The concentration of guanine was equal to the concentration of cytosine.Chargaff showed:a. [A]=[T] and [G]=[C]b. [A+G]=[T+C]c. [A+T] [G+C]2. The second set of experimental results that helped Watson and Crick solve the structure of DNA were from x-ray diffraction (X-射线衍射) experiments.RNA (核糖核酸) RNA is similar to DNA in structure, but RNA differs from DNA in 3 ways:1. it is single stranded2. it has the sugar ribose3. it has uracil instead of thymineThe hereditary information in DNA is transcribed (转录) into RNA.The RNA directs the synthesis of proteins in translation (翻译).1. There are different kinds of RNA.Name the 3 kinds of RNA that are important for translation.a. mRNA (messenger 信使)b. tRNA (transfer 转移)c. rRNA (ribosomal 核糖体)All of the DNA present in an organism is called the genome (基因组).The study of all the DNA in a species is called genomics (基因组学).A. DNA StructureNormally DNA is made of 2 chains of nucleotides. These are called polynucleotide chains (多核苷酸链).The polynucleotide chains are twisted around each other to form a double-stranded helix (双股螺旋).1. Nucleotide (核苷).Each nucleotide has 3 parts. What are they?a. a 5 carbon sugarb. a nitrogen basec. a phosphateThere are 2 kinds of nitrogen bases. There are purines and pyrimidines.The DNA double helix has both a major and minor groove.DNA can exist in 3 different structures:1. A DNA2. B DNA3. Z DNAUnder physiological conditions, DNA is generally in the B form (92%). It has 10 base pairs per turn and major and minor grooves.When there is less water available (75%) , DNA is often found in the A form.A andB DNA have a right-handed helix.Z DNA has a left handed-helix.Heating DNA can break the hydrogen bonds between the base pairs causing the two strands to separate. The DNA is said to denature (变性).One way to study the denaturation of DNA is to measure its absorbance (吸光度) of UV light. The absorbance for DNA peaks at 260 nm.The melting temperature (T m 熔解温度) is defined as the point where half of the DNA is denatured.What 2 factors can increase the melting temperature?1. Increasing the percent G-C.2. Increasing the salt concentration.renaturation (复性): when denatured DNA changes back to its native conformation.This will likely not be the original DNA strand that it was bound to before it was denatured. Scientists designed a clever experiment to discover this.They made some DNA that contained 15N, an isotope of nitrogen. They could distinguish strands of DNA that had 15N from those that did not (had the normal 14N).They heated the DNA to denature it, mixed the 2 kinds of DNA and then cooled the mixture to allow the DNA to renature.Complexity (DNA的复杂性) depends on the amount of repetitive DNA and the size of the genome.Often there are 3 categories of DNA: 1. unique 2. repetitive 3. highly repetitive Many bacteria have extra DNA on a small self-replicating circular DNA called a plasmid (质粒). Specialized enzymes break the phosphodiester bonds in nucleic acids.Those that specifically cut DNA are called DNases (deoxyribonucleases).Those that specifically cut RNA are called RNases (ribonucleases).B. RNA StructureWhat are the differences between DNA and RNA?RNA is single stranded.Uracil is used in RNA, while thymine is used in DNA.RNA has ribose instead of deoxyribose.The DNA bound to proteins forms chromosomes (染色体).Plasmids are extrachromosomal (outside the chromosome) DNA that can replicate independently of the chromosome.They are usually closed, circular and supercoiled, though linear forms have been found.The two copies of the chromosome are called homologs or homologous chromosomes (同源染色体).The word genome (基因组) means a complete set (haploid or 1n) of chromosomes, including all the genes, inherited from one parent.Gene density (基因密度) can be measured as the average number of genes per Mb of genomic DNA.Intergenic sequences (间隔序列) are the spaces between genes.Eukaryotic genes contain noncoding sequences called introns (内含子). These sequences are transcribed and then removed by RNA splicing (核糖核酸拼接).What are the coding sequences called? exons (外显子)DNA polymerase (DNA聚合酶) requires a 3’ hydroxyl terminus to which it can add new base pairs.A primer (RNA引物) is a short piece of RNA that provides a 3’ OH for DNA synthesis. Enzymes that nibble from the end of a nucleic acid and remove one base pair at a time are called exonucleases (核酸外切酶).Those that cut within a strand are called endonucleases (内切酶).The enzyme that joins the small pieces of DNA produced by copying the lagging strand is called DNA ligase (DNA连接酶).nick translation (切刻平移)All the DNA that is replicated from an origin of replication is called a replicon (复制子). Mutation (基因突变): a change in the DNAMutant (突变体): an organism that has at least one mutationspontaneous mutations (自发突变体): mutations that occur naturally without the use of mutagenic agentsinduced mutations (诱发突变体): mutations that result from treatment with a mutagen Mutagen (诱变剂): a physical or chemical agent that causes mutationsMutagenesis (诱变): the process of producing mutationsWhat is site-directed mutagenesis?Site-directed mutagenesis (定点诱变) is a technique to specifically change one or more base pairs in a gene.point mutation (点突变): a single base pair changemissense mutation (错义突变) nonsense mutation (无义突变) frameshift mutation (移码突变)Recombination Repair (重组修复) SOS responseCentral to our understanding of Molecular Biology is that the genetic information contained in DNA is copied into RNA.This process of copying is called transcription (DNA的转录).A. Four components of transcriptionThere are 4 things that participate in transcription of DNA:1. template DNA2. RNA polymerase3. promoter4. 4 rNTPs RNA PolymeraseThere are 2 forms of bacterial RNA polymerases based on the protein subunits that are present:a. the core enzyme (核心酶)b. the holoenzymeThe RNA polymerase core enzyme is made up of 4 different subunits:1. two α(alpha) subunits2. one β(beta) subunit3. one β’ (beta prime) subunit4. one ω(omega) subunitA promoter sequence is a signal where transcription should start.At the end of the gene a different DNA sequence signals that transcription should stop. This is called the terminator.There are 2 different ways that transcription of a gene terminates:a. rho (ρ) independentb. rho (ρ) dependentThere are 4 components that are required for translation:1. mRNA2. tRNA3. aminoacyl tRNA synthetases4. ribosomesEach messenger RNA (mRNA 信使核糖核酸) contains regions that encode protein sequence. In this sequence there are 3 nucleotide units called codons (密码子) that indicate a particular amino acid.The DNA that was transcribed into RNA contains the sequences required to encode a polypeptide. This is called an open reading frame (ORF 开放阅读框).The mRNA of an ORF begins with a translation start codon, followed by a sequence of codons that specify amino acids, and ends with a stop codon.Translation begins near the 5’ end of the mRNA and moves one codon at a time to the 3’ end.The first codon is called the start codon(起始密码子). The last codon is called the stop codon (终止密码子).Eukaryotes always begin translation with the start codon AUG. Bacteria also almost always use AUG as the start codon, though, they can rarely use GUG or UUG.The start codon encodes the first amino acid and sets the reading frame for all the codons that follow.Each mRNA encodes at least one polypeptide. Prokaryotic mRNA often encodes 2 or more polypeptides. These are called polycistronic mRNAs (多顺反子的mRNA).Eukaryotic mRNA nearly always encodes a single polypeptide. This is called monocistronic mRNA (单顺反子mRNA). (mono=oneRibosomes must bind to the mRNA for translation to occur. Prokaryotic mRNAs have a ribosome binding site (RBS 核糖体结合位点) sequence that is upstream of the start codon. This sequence is also called the Shine-Dalgarno sequence and was named after the scientists who discovered it.One of the key components of translation is transfer RNA or tRNA (转移核糖核酸). It binds to both an amino acid and the codons in the mRNA.There are 2 parts of the tRNA that are recognized.1. the acceptor stem2. the anticodon loopTranslation occurs on ribosomes (核糖体). These are large complexes made of proteins and ribosomal RNA.Ribosomes are much slower than DNA polymerase. DNA polymerase can add 200-1000 bases in a second. Ribosomes can add 2-20 amino acids in a second.In prokaryotes the small subunit has a 16S rRNA and 21 proteins.The large subunit has a 5S and 23S rRNA and about 34 proteinsEukaryotic ribosomes are made of a 40S and a 60S subunit and together they make an 80S ribosome.The small subunit has an 18S rRNA and about 33 proteins.The large subunit has a 5S, 5.8S and 28S rRNA and 49 proteins.An mRNA with multiple ribosomes is called a polyribosome or polysome (多核糖体).。
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Dimensions of hypochondriasis and the ®ve-factor modelof personalityBrian J.Cox a,*,Sharon C.Borger b ,Gordon J.G.Asmundson c ,Steven Taylor daDepartment of Psychiatry,University of Manitoba,Canada b Department of Psychology,University of Manitoba,CanadacClinical Research and Development Program,Regina Health District,CanadadDepartment of Psychiatry,University of British Columbia,CanadaReceived 25February 1999;received in revised form 22June 1999;accepted 2August 1999AbstractRelations between dimensions of hypochondriasis assessed by the Illness Attitudes Scales and the higher-order and lower-order dimensions of the ``Big Five''model of personality were examined in 309university students.Factor analysis revealed ®ve IAS dimensions,similar to those identi®ed in previous studies:Fear of Illness and Death,Treatment Experience,Symptom E ects,Disease Phobia and Conviction,and Health Habits.These ®ve IAS dimensions in turn loaded on to two higher-order factors:Health Anxiety and Health Behaviors.To help clarify the meaning of these IAS dimensions and the two higher-order factors,a series of regression analyses were conducted using the NEO-PI-R personality domains and facets.Neuroticism,and its facet of anxiety,were signi®cant predictors of several IAS dimensions and the higher-order factor of Health Anxiety.In contrast,Conscientiousness was a signi®cant predictor of one of the IAS dimensions and the second higher-order factor of Health Behaviors.The results suggest that some IAS dimensions are re¯ective of speci®c and core features of hypochondriasis while other IAS dimensions are generally nonspeci®c or too peripheral,and may in fact assess adaptive functioning.The results also suggest that previously observed negative associations between hypochondriasis and Extraversion,as well as Agreeableness,are reduced or eliminated when Neuroticism is statistically controlled.72000Elsevier Science Ltd.All rights reserved.Keywords:Hypochondriasis;Big Five model of personality;Personality domains and facetsPersonality and Individual Di erences 29(2000)99±1080191-8869/00/$-see front matter 72000Elsevier Science Ltd.All rights reserved.PII:S0191-8869(99)00180-4/locate/paid*Corresponding author.PZ-430PsycHealth Centre,771Bannatyne Avenue,Winnipeg,Manitoba,Canada R3E 3N4.Tel.:+1-204-787-5166;fax:1-204-787-4879.Hypochondriasis is categorized as a somatoform disorder in the DSM-IV (American Psychiatric Association,1994)where the essential feature is de®ned as a ``preoccupation with fears of having,or the idea that one has,a serious disease based on a misinterpretation of one or more bodily signs or symptoms''.Rather than taking a categorical approach,some authors have argued that available evidence strongly suggests hypochondriasis lies on a continuum and represents an individual di erence variable (Costa &McCrae,1985;Tyrer,Fowler-Dixon,Ferguson &Kelemen,1990).If indeed hypochondriasis is best conceptualized as an individual di erence variable,then it becomes important to understand how it relates to well-established,higher-order and lower-order personality domains.There has also been signi®cant interest in approaching hypochondriasis as a cognitive abnormality characterized by catastrophic misinterpretations of innocuous bodily sensations (Barsky &Klerman,1983;Warwick &Salkovskis,1990).Yet the question still arises as to how this type of individual di erence variable (i.e.,cognitive abnormality)relates to various personality traits.To date,there has been limited investigation along these lines.In addition,the majority of studies have examined medical complaints and somatic concerns rather than hypochondriasis (illness worry)per ing data from normal adults in the Baltimore Longitudinal Study of Aging (BLSA),Costa and McCrae (1985)observed positive associations between somatic concerns on the Cornell Medical Index (Brodman,Erdmann &Wol ,1949)and the higher-order personality domain of neuroticism.McCrae (1991)reported that the hypochondriasis clinical scale from the MMPI (Hathaway &McKinley,1983)was positively associated with neuroticism and negatively associated with extraversion in the BLSA.Costa and McCrae (1992b)observed a similar relationship between neuroticism,extraversion and somatic concerns on the Basic Personality Inventory (Jackson,1989)and on the Personality Assessment Inventory (Morey,1991).It is not known if the negative association observed between hypochondriasis and extraversion might be due to a negative emotionality component in the measurement of somatic concerns.This possibility is supported in a study of abnormal illness behavior where a ective inhibition and illness disruption,rather than health worry,were negatively correlated with extraversion (Zonderman,Heft &Costa,1985).Also,because neuroticism is a very broad personality trait that denotes a tendency to experience a wide range of negative a ect (e.g.,anxiety,anger,depression),it is not yet known if there are any speci®c facets within neuroticism that are particularly associated with hypochondriasis.In addition to neuroticism,a review of personality traits and the somatoform disorders (Kirmayer,Robbins &Paris,1994)led to the hypothesis that low agreeableness and high conscientiousness might also be associated with clinical hypochondriasis.These personality traits warrant further study in relation to hypochondriacal concerns as an individual di erence variable,but there is some evidence that adaptive ``wellness behaviors''in normal adults are positively correlated with conscientiousness (Booth-Kewley &Vickers,1994).One of the most widely used measures of hypochondriacal concerns is the Illness Attitudes Scales (IAS;Kellner,1986;Kellner,Abbott,Winslow &Pathak,1987).The IAS is a 27-item,self-report inventory designed to assess fears,beliefs,and attitudes associated with hypochondriasis and abnormal illness behavior (two additional items assess types of treatment and illness experiences,but are not used in the scoring of the subscales).It was originallyB.J.Cox et al./Personality and Individual Di erences 29(2000)99±108100B.J.Cox et al./Personality and Individual Di erences29(2000)99±108101 designed to generate nine di erent subscales:worry about illness,concerns about pain,health habits,hypochondriacal beliefs,thanatophobia(fear of death),disease phobia,bodily preoccupation,and treatment experience.However,researchers often utilize a total IAS score. Typically,this is done when researchers seek to correlate the IAS with other variables or when selecting nonclinical individuals with high or low hypochondriacal concerns(consistent with a continuum perspective of hypochondriasis).In addition,recent factor analytic work in clinical and nonclinical samples(Ferguson&Daniel,1995;Hadjistavropoulos&Asmundson,1998; Hadjistavropoulos,Frombach&Asmundson,in press)has indicated that the IAS captures four and possibly®ve di erent dimensions,rather than nine.1The most robust factors appear to be:(1)Worry about illness or pain,(2)Symptom e ects(with respect to lifestyle interference),(3)Disease phobia and conviction,and(4)Health habits.Less robust dimensions include fear of death and treatment experiences,which sometimes load on worry about illness and symptoms e ects factors,respectively.Aside from psychometric considerations, Hadjistavropoulos et al.(in press)have emphasized that further work is needed to clarify the meaning of these di erent IAS dimensions.One way this goal might be furthered is by examining IAS dimensions in relation to broad and speci®c personality traits.The®ve-factor model of personality or the``Big Five''has received considerable attention in personality theory and research over the past several years.The most widely used measure of the Big Five is the Revised NEO Personality Inventory(NEO-PI-R;Costa&McCrae,1992a). This instrument has received extensive empirical support and is based on a hierarchical structure of personality.On a higher-order level the NEO-PI-R assesses the Big Five domains: Neuroticism,Extraversion,Openness to Experience,Agreeableness,and Conscientiousness.For each of these domains the NEO-PI-R also assesses six corresponding,lower-order facets.The design of the present study was as follows.First,a factor analysis of the IAS was conducted in an attempt to replicate the dimensions of hypochondriasis identi®ed in recent studies.Second,each of the IAS dimensions was examined in relation to the higher-order personality domains and lower-order personality facets of the NEO-PI-R using a series of regression analyses.Third,the possible hierarchical structure of the IAS was investigated by factor analyzing the IAS dimensions(i.e.,factor scores),and then examining higher-order IAS factor(s)in relation to the NEO-PI-R.It was hypothesized that the NEO-PI-R higher-order domain of neuroticism would be predictive of those IAS dimensions which were conceptually closer to the core features of hypochondriasis.Consistent with the essential feature of hypochondriasis described in the DSM-IV,it was hypothesized that neuroticism would be most strongly predictive of IAS dimensions re¯ective of fears of illness and death,and disease phobia and conviction.Similarly,it was expected neuroticism would be less predictive for those dimensions which could be seen as more peripheral(health habits and treatment experiences). There is a paucity of previous work at the facet level,but it is reasonable to hypothesize that anxiety would be the strongest predictor variable within the domain of neuroticism.In addition to neuroticism,there is preliminary evidence to suggest that the domains of agreeableness and1In contrast to these studies,Speckens,Spinhoven,Sloekers,Bolk and van Hemert(1996)reported a two factor solution,using a Dutch translation of the IAS.However,only17of the27IAS items met the authors'criteria of loading0.40on one factor and loading at least0.20greater than on another factor.extraversion might be negatively associated,and conscientiousness positively associated,with core features of hypochondriasis.As an ancillary analysis,a more general,non-speci®c measure of anxiety proneness was also examined in relation to the NEO-PI-R,so that results could be compared to those obtained with the IAS.In other words,we sought to determine which personality factors might be associated with speci®c,health-related anxiety,and compare these to personality factors associated with non-speci®c anxiety.1.Method 1.1.SubjectsA total of 309undergraduate students at the University of Manitoba (190women,119men)participated in the study (M age =19.84yr,SD=3.52).Their mean score on the IAS (total)was 30.99(SD=13.28),and the internal consistency (alpha)of the IAS was 0.87.IAS item means ranged from 0.30to 2.99and were very similar to the nonclinical pro®le used in an IAS factor analytic paper (Hadjistavropoulos et al.,in press).Alphas for the NEO-PI-R domains were all at or above 0.85.The majority of the 30facet alphas were above 0.70(range =0.53±0.93).The pro®le of facet alphas was similar to those reported in the NEO-PI-R manual (range =0.56±0.81,Costa &McCrae,1992a,p.44)which were deemed acceptable for scales with only 8items.Alpha for the STAI was 0.93.1.2.Measures and proceduresParticipants were administered the IAS (Kellner,1986;Kellner et al.,1987),the NEO-PI-R (Costa &McCrae,1992a),and the trait form of the State-Trait Anxiety Inventory (STAI;Spielberger,1983)as part of a psychometric study on anxiety sensitivity (Cox,Borger,Taylor,Fuentes &Ross,in press).The 240-item NEO-PI-R assesses the ®ve higher-order domains discussed earlier as well as six lower-order facets within each domain.2.ResultsIn an attempt to replicate previously identi®ed dimensions within the IAS,a factor analytic procedure was followed that was identical to that employed by Hadjistavropoulos and colleagues (1998,in press).Kaiser's Measure of Sampling Adequacy was 0.81,indicating that the IAS items were appropriate for principal components analysis (Tabachnick &Fidell,1996).A principal components analysis was conducted with oblique (Oblimin)rotation.The scree plot,as well as parallel analysis using both mean and 95th percentile Eigenvalues,indicated a ®ve-factor solution.This ®ve-factor solution was very similar to factor solutions identi®ed in previous studies,contained clear,interpretable factors with few cross-loadings,and accounted for 56.4%of the variance.The content of each of these factors and their corresponding Eigenvalues were as follows:Fear of Illness and Death (7.85),Treatment Experience (2.33),B.J.Cox et al./Personality and Individual Di erences 29(2000)99±108102B.J.Cox et al./Personality and Individual Di erences29(2000)99±108103 Symptom E ects(1.86),Disease Phobia and Conviction(1.62),and Health Habits(1.57).IAS factor scores were calculated using the regression method.Correlations between IAS factor scores ranged from0.01to0.41.The factor analysis was also repeated separately for men and women and a very similar pattern of®ndings emerged.To determine whether the IAS factors would in turn load onto one or more higher-order hypochondriasis factors,a principal components analysis with oblique(Oblimin)rotation was conducted using the®ve IAS factor scores.A higher-order,two-factor solution was clearly indicated by an Eigen-value>1criterion and by visual inspection of the scree plot,and it accounted for57.1%of the variance.The®rst higher-order factor(35.7%of the variance)was closer to the core features of hypochondriasis and was comprised of three IAS lower-order factors:Fear of Illness or Death,Symptom E ects,and Disease Phobia and Conviction.This factor was labeled Health Anxiety.The second higher-order factor(21.4%of the variance)was more peripheral to the core features of hypochondriasis and was comprised of two IAS lower-order factors:Treatment Experience and Health Habits.This factor was labeled Health Behaviors.The correlation between the two higher-order factors was0.15.Factor scores were again calculated using the regression method.Table1presents correlations between the IAS factor scores and the domains and facets of the NEO-PI-R.In general the largest and most consistent associations were between the neuroticism domains and its facets and the IAS factors of Fear of Illness and Death,Symptom E ects,and Disease Phobia and Conviction,and the IAS higher-order factor of Health Anxiety.A number of smaller but signi®cant negative correlations emerged between some IAS factors and the domains and facets of Extraversion and Agreeableness.Because of the number of signi®cant correlations,a series of multiple regression analyses were then conducted using each of the IAS factor scores as dependent variables and the domains and facets of the NEO-PI-R as predictor variables.In each case the following procedure was used.The®ve NEO-PI-R higher-order domains were®rst entered as block of predictor variables using a forced entry method.In the second stage,the lower-order facets of the signi®cant(P<0.05)predictor domains were then entered as a block,again using a forced entry method.Tolerance values were at or above0.35,indicating that multicollinearity was not a problem(Norusis,1988).The®rst regression analysis used the Fear of Illness and Death dimension as the dependent variable,and the NEO-PI-R higher-order domain of Neuroticism(b=0.51)was the only signi®cant predictor variable in the regression equation(R=0.48,F(5,303)=18.22,P<0.001). In the second stage of this analysis only the N facet of anxiety(b=0.50)entered as a signi®cant predictor variable in the regression equation(R=0.55,F(6,302)=21.94,P<0.001). The second regression analysis used the Treatment Experience dimension as the dependent variable,and the NEO-PI-R domain of Neuroticism(b=0.21)was the only signi®cant predictor variable in the regression(R=0.22,F(5,303)=3.16,P<0.01).In the second stage only the N facet of anxiety(b=0.18)entered as a signi®cant predictor variable(R=0.22, F(6,302)=2.5P<0.05).The third regression analysis used the Symptom E ects dimension as the dependent variable, and only the NEO-PI-R domain of Neuroticism(b=0.42)was a signi®cant predictor variable (R=0.48,F(5,303)=17.63,P<0.001).In the second stage the facets of anxiety(b=0.15),B.J.Cox et al./Personality and Individual Di erences29(2000)99±108105 depression(b=0.17),and vulnerability to stress(b=0.20)all entered as signi®cant predictor variables(R=0.49,F(6,302)=15.89,P<0.001).The fourth regression analysis used the Disease Phobia and Conviction dimension as the dependent variable and both the NEO-PI-R domains of Neuroticism(b=0.40)and Agreeableness(b=À0.12)entered as signi®cant predictors(R=0.42,F(5,303)=12.95,P< 0.001).In the second stage the anxiety facet of Neuroticism(b=0.26)and the straightforwardness facet of Agreeableness(b=À0.18)entered as signi®cant predictors(R= 0.48,F(12,296)=7.30,P<0.001).The®fth regression analysis used the Health Habits dimension as the dependent variable and the NEO-PI-R domain of Conscientiousness(b=0.24)entered as a signi®cant predictor(R= 0.24,F(5,303)=3.58,P<0.005).In the second stage the deliberation facet of Conscientiousness(b=0.19)entered as a signi®cant predictor(R=0.28,F(6,302)=4.28,P< 0.001).The®ve domains of the NEO-PI-R were entered as predictor variables in regression analyses for each of the two higher-order IAS factors.In a regression of the®rst higher-order factor of Health Anxiety,the Neuroticism domain(b=0.60)was the only signi®cant predictor in the regression equation(R=0.60,F(5,303)=33.85,P<0.001).In the second stage,only the Neuroticism facets of anxiety(b=0.40)and depression(b=0.16)entered as signi®cant predictors(R=0.63,F(6,302)=32.94,P<0.001).In a regression of the second higher-order factor of Health Behaviors,the Conscientiousness domain(b=0.25)was the only signi®cant predictor in the regression equation(R=0.23,F(5,303)=3.32,P<0.01.In the second stage, only the Conscientiousness facet of order(b=0.13)entered as a signi®cant predictor(R=0.24, F(6,302)=3.09,P<0.01).The same regression approach was used with a measure of non-speci®c anxiety,the STAI. The NEO-PI-R domains of Neuroticism(b=0.70)and Extraversion(b=À0.20)were signi®cant predictors in the regression equation(R=0.81,F(5,311)=119.32,P<0.001).In the second stage the Neuroticism facets of anxiety(b=0.12),depression(b=0.44),and vulnerability to stress(b=0.22),as well as the Extraversion facets of assertiveness(b=À0.10) and positive emotions(b=À0.16)were signi®cant predictors in the regression equation(R= 0.84,F(12,304)=62.26,P<0.001).3.DiscussionThe results of this study serve to extend previous research on the nature of hypochondriasis as measured by the IAS.Speci®cally,the present study replicated the factor structure identi®ed in recent studies(Hadjistavropoulos&Asmundson,1998;Hadjistavropoulos et al.,in press). The meaning of each of the IAS dimensions was then further elucidated through their relations with higher-order and lower-order personality traits.These results highlight the importance of conducting regression analysis in addition to correlations:several associations between IAS factors and extraversion,along with agreeableness,were not apparent when the contribution of neuroticism was statistically controlled.The higher-order domain of neuroticism and one of its six lower-order facets,anxiety,were signi®cant predictors of several IAS dimensions.However,neuroticism and anxiety were moststrongly associated with variance in the Fear of Illness and Death dimension.For example,the beta weights and strength of prediction were more than twice as great for this dimension compared to the Treatment Experience dimension.In other words,Treatment Experience (e.g.,visits to a physician)was less likely to be related to neuroticism or other personality traits.Although neuroticism denotes a general tendency to experience negative a ect,the anxiety facet is relatively speci®c and refers to apprehension,fearfulness,and worry proneness (Costa &McCrae,1992a).It is interesting to compare this result to the relationship between the NEO-PI-R and a measure of nonspeci®c or ``free-¯oating''anxiety.In contrast to the Fear of Illness and Death IAS dimension,the STAI was predicted by three di erent facets of neuroticism and two facets of extraversion.It is hardly surprising that the neuroticism facet of anxiety predicted nonspeci®c anxiety,but it was interesting to see what other personality variables emerged as predictors.In particular,there were associations with a wider range of negative a ect and with interpersonal di culties,whereas this was not true for Fear of Illness and Death.These ®ndings are consistent with the observations of Cox et al.(in press)concerning anxiety sensitivity and hypochondriasis.Anxiety sensitivity is an individual di erence variable de®ned as a fear of anxiety symptoms based on the belief that these symptoms have harmful consequences (Reiss,Peterson,Gursky &McNally,1986)and it may represent a cognitive risk factor for panic disorder (McNally,1994).Cox et al.(in press)found that one of the NEO-PI-R traits that predicted anxiety sensitivity,including a dimension of anxiety sensitivity concerning fear of somatic sensations,was the neuroticism facet of self-consciousness.Cox et al.suggested that an important cognitive di erentiation between anxiety sensitivity and hypochondriasis may be that social/interpersonal concerns are salient only in the case of anxiety sensitivity.The Symptom E ects dimension was associated with a wider range of neuroticism facets,and was predicted by anxiety,depression,and vulnerability to stress.This latter facet of neuroticism relates to perceived inability to cope with stress and individuals scoring high on this facet may become ``dependent,hopeless,or panicked when facing emergency situations''(Costa &McCrae,1992a,p.16).This ®nding suggests that the Symptoms E ects dimension taps into more global life functioning,and extends beyond hypochondriasis.Disease Phobia and Conviction was not only positively associated with neuroticism and anxiety,but was also negatively associated with the agreeableness domain and its facet of straightforwardness.Costa and McCrae (1992a)note that the domain of agreeableness is one of interpersonal tendencies and also note the following in regard to the facet of straightforwardness:``Straightforward individuals,that is,those individuals with high scores on this scale are frank,sincere,and ingenuous.Low scorers on this scale are more willing to manipulate others through ¯attery,craftiness,or deception''(p.17).This ®nding suggests that the Disease Phobia and Conviction dimension may also sometimes assess something broader than hypochondriasis per se.The Health Habits dimension seems to stray furthest from the core features of hypochondriasis.Rather than being associated with the maladaptive traits of neuroticism,it was best predicted by the conscientiousness domain and its facet of deliberation.These traits re¯ect purposefulness,caution,and self-control.In excessive levels it is conceivable that these traits may re¯ect features associated with hypochondriasis,but only in a peripheral sense.B.J.Cox et al./Personality and Individual Di erences 29(2000)99±108106B.J.Cox et al./Personality and Individual Di erences29(2000)99±108107 The distinction between core and peripheral features of hypochondriasis contained in the IAS was further elucidated by the identi®cation of two higher-order factors:Health Anxiety and Health Behaviors.The®rst factor of Health Anxiety appeared to capture the major elements of hypochondriasis,and was best predicted by neuroticism.In contrast,the second factor of Health Behaviors was comprised of the Treatment Experiences and Health Habits dimensions,and was best predicted by conscientiousness.In other words,rather than being indicative of psychopathology,this second IAS factor and its lower-order dimensions may often assess adaptive functioning.The present study examined hypochondriasis as an individual di erence variable comprised of concern and anxiety,rather than as a clinical somatoform disorder.One implication of this approach is that a di erent personality pro®le might prevail in clinical levels of hypochondriasis.For example,the trust facet of the agreeableness domain was signi®cantly correlated with some IAS factors in this study,although less so than neuroticism.It is possible that in clinical samples the negative association between trust and hypochondriasis could be more pronounced,and might help explain the failure to respond to medical reassurance seen in severe hypochondriasis.In conclusion,the results of this study help to clarify the di erential meaning of the dimensions of hypochondriasis underlying the IAS.Our®ndings support the assertion of Hadjistavropoulos and Asmundson(1998)that fear or preoccupation with illness or pain is a fundamental component of hypochondriasis(the®rst lower-order dimension in our study and also part of the®rst higher-order factor).These results do not support the use of a total score for the IAS,and also suggest that some dimensions within the IAS(e.g.,Health Habits)are too non-speci®c or peripheral to warrant their use in assessing the core features of hypochondriasis.In fact,based on the recent research®ndings that have now accumulated,one has to wonder whether the current IAS can really be salvaged.An alternative might be to utilize some of its more valid items as part of the construction of a new measure of hypochondriasis.Further work on IAS dimensions and personality functioning in clinical samples also appears warranted.AcknowledgementsThis research was supported by a grant from the Manitoba Health Research Council.ReferencesAmerican,Psychiatric Association(1994).Diagnostic and statistical manual of mental disorders(4th ed.). Washington,DC:American Psychiatric Association.Barsky,A.J.,&Klerman,G.L.(1983).Overview:hypochondriasis,bodily complaints,and somatic styles. American Journal of Psychiatry,140,273±283.Booth-Kewley,S.,&Vickers,R.R.(1994).Associations between major domains of personality and health behavior. Journal of Personality,62,281±298.Brodman,K.,Erdmann,A.J.,&Wol ,H.G.(1949).The Cornell Medical Index health questionnaire manual.New York:Cornell University.Costa,P.T.,&McCrae,R.R.(1985).Hypochondriasis,neuroticism,and aging:when are somatic complaints unfounded?American Psychologist ,40,19±28.Costa,P.T.,&McCrae,R.R.(1992a).Revised NEO Personality Inventory (NEO-PI-R)and NEO Five-Factor Inventory (NEO-FFI)professional manual .Odessa,FL:Psychological Assessment Resources.Costa,P.T.,&McCrae,R.R.(1992b).Normal personality assessment in clinical practice:the NEO Personality Inventory.Psychological Assessment ,4,5±13.Cox B.J.,Borger S.C.,Taylor S.,Fuentes K.,Ross L.M.Anxiety sensitivity and the ®ve-factor model of personality.Behaviour Research and Therapy (in press).Ferguson,E.,&Daniel,E.(1995).The Illness Attitudes Scales (IAS):a psychometric evaluation on a non-clinical population.Personality and Individual Di erences ,18,463±469.Hadjistavropoulos,H.D.,&Asmundson,G.J.G.(1998).Factor analytic investigations of the Illness Attitudes Scales:exploration in a chronic pain sample.Behaviour Research and Therapy ,36,1185±1195.Hadjistavropoulos H.D.,Frombach I.,Asmundson G.J.G.Exploratory and con®rmatory factor analytic investigations of the Illness Attitudes Scales in a non-clinical sample.Behaviour Research and Therapy (in press).Hathaway,S.R.,&McKinley,J.C.(1983).The Minnesota Multiphasic Personality Inventory manual .New York:Psychological Corporation.Jackson,D.N.(1989).Basic Personality Inventory manual .Port Huron,MI:Sigma Assessment Systems.Kellner,R.(1986).Somatization and hypochondriasis .New York:Praeger.Kellner,R.,Abbott,P.,Winslow,W.W.,&Pathak, D.(1987).Fears,beliefs,and attitudes in DSM-III hypochondriasis.Journal of Nervous and Mental Disease ,175,20±25.Kirmayer,L.J.,Robbins,J.M.,&Paris,J.(1994).Somatoform disorders:personality and the social matrix of somatic distress.Journal of Abnormal Psychology ,103,125±136.McCrae,R.R.(1991).The ®ve-factor model and its assessment in clinical settings.Journal of Personality Assessment ,57,399±414.McNally,R.M.(1994).Panic disorder:a critical analysis .New York:Guilford Press.Morey,L.(1991).Personality Assessment Inventory:professional manual .Odessa,FL:Psychological Assessment Resources.Norusis,M.J.(1988).SPSS-X Advanced statistics guide (2nd ed.).Chicago,IL:SPSS.Reiss,S.,Peterson,R.A.,Gursky,D.M.,&McNally,R.J.(1986).Anxiety sensitivity,anxiety frequency,and the prediction of fearfulness.Behaviour Research and Therapy ,24,1±8.Speckens,A.E.M.,Spinhoven,P.,Sloekers,P.P.A.,Bolk,J.H.,&van Hemert,A.M.(1996).A validation study of the Whitely Index,the Illness Attitudes Scales,and the Somatosensory Ampli®cation Scale in general medical and general practice patients.Journal of Psychosomatic Research ,40,95±104.Spielberger,C.D.(1983).Manual for the state-trait anxiety inventory (Form Y).Palo Alto,CA:Consulting Psychologists Press.Tabachnick,B.G.,&Fidell,L.S.(1996).Using multivariate statistics (3rd ed.).New York:Harper Collins.Tyrer,P.,Fowler-Dixon,R.,Ferguson,B.,&Kelemen,A.(1990).A plea for the diagnosis of hypochondriacal personality disorder.Journal of Psychosomatic Research ,34,637±642.Warwick,H.M.C.,&Salkovskis,P.M.(1990).Hypochondriasis.Behaviour Research and Therapy ,28,105±117.Zonderman,A.B.,Heft,M.W.,&Costa,P.T.(1985).Does the Illness Behavior Questionnaire measure abnormal illness behavior?Health Psychology ,4,425±436.B.J.Cox et al./Personality and Individual Di erences 29(2000)99±108108。