16.6 Methodology and Experimental Verification for Substrate Noise Reduction in CMOS Mixed-

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英文人物英文描写

英文人物英文描写
• Emphasis on detail and observation: Realistic writers often employ a detailed and objective style of writing, paying close attention to the smallest nuances of character behavior and interaction They observe and analyze human behavior, seeking to understand the underlying motivations and complexities of human nature
Modernism
• Fragmentation and complexity: Modern characters are often presented as fragmented and complex individuals who are grafting with the challenges and complexity of modern life They may experience a sense of disconnection or alignment from society due to the rapid pace of technological change and social uplift
• Exploration of social issues: Realistic characters are often used to explore important social issues such as class struggle, social justice, and the impact of industrialization on society The aim is to shine a light on these issues and promote critical awareness in the reader

临床实验数据英文翻译

临床实验数据英文翻译

临床实验数据英文翻译Clinical Experimental Data TranslationIntroduction:Clinical experimental data plays a crucial role in the field of medical research. Accurate translation of such data from different languages, particularly from Chinese to English, is of paramount importance for effective communication and collaboration among researchers globally. This article aims to provide guidelines and techniques for translating clinical experimental data from Chinese to English.1. Understanding the Context:Before starting the translation process, it is essential to have a comprehensive understanding of the experimental data. Familiarize yourself with the specific medical terminology, research objectives, methodology, and statistical analysis involved in the study. This background knowledge will facilitate accurate and coherent translation.2. Maintain Consistency:Consistency in terminology is vital to ensure clarity and coherence in the translated data. Create a glossary of terms to be used throughout the translation process. This will help maintain uniformity and avoid confusion. Additionally, make sure to adhere to the standard conventions of medical terminology in English.3. Accuracy in Translating Numbers:Translating numerical data accurately can be challenging. Pay careful attention to the conversion of units, decimals, percentages, and fractions. Ensure that the numerical values are consistent with the original data. Use appropriate conversions, such as Celsius to Fahrenheit, or milliliters to ounces, while maintaining accuracy.4. Translating Graphs and Figures:Many clinical experimental data include graphs, charts, and figures. These visual representations aid in conveying the findings effectively. When translating, make sure to accurately label all axes, captions, and legends. Consider cultural differences and ensure that the translated visual elements are easily understood by the target audience.5. Descriptive Text Translation:Translating descriptive text, such as abstracts, methodology, and results, requires attention to detail. Ensure the translated text is concise, coherent, and clearly conveys the intended meaning. Pay close attention to grammar, sentence structure, and appropriate use of medical terminology.6. Statistical Analysis:Clinical experimental data often involves statistical analysis. Translate statistical terms accurately and use appropriate English terminology for statistical methods and measures. Maintain clarity and ensure that the translated statistical analysis is understood by English-speaking researchers.7. Proofreading and Editing:Once the translation is complete, thoroughly proofread and edit the translated text. Check for any grammatical errors, inconsistencies, or mistranslations. Ensure that the translated text corresponds accurately to the original data and the intended meaning is conveyed effectively.Conclusion:Accurate translation of clinical experimental data from Chinese to English is crucial for effective communication and collaboration in medical research. Following the guidelines provided in this article, such as maintaining consistency, precision in numerical translations, and attention to detail during the translation process, will result in clear and accurate English translations. Ultimately, this will contribute to the dissemination of valuable medical knowledge and promote scientific advancements worldwide.。

一种实验验证方法英文

一种实验验证方法英文

一种实验验证方法英文IntroductionExperimental verification is a crucial process in scientific research, as it provides empirical evidence to support or refute hypotheses. It allows researchers to test their ideas and theories in a controlled environment, providing insights into the underlying mechanisms of natural phenomena. This article presents a method for conducting experimental verification, outlining the necessary steps and considerations for ensuring reliable and valid results.MethodologyStep 1: Formulate a HypothesisThe first step in experimental verification is to formulate a hypothesis. This involves proposing an explanation or a prediction about the relationship between variables. The hypothesis should be specific, testable, and should aim to answer a research question.Step 2: Design the ExperimentDesigning a well-structured experiment is vital to obtaining accurate and meaningful results. The experiment should be carefully planned, ensuring that all relevant variables are identified and controlled. Considerations such as sample size, experimental conditions, and data collection methods should be taken into account during this step.Step 3: Identify VariablesIdentifying and controlling variables is crucial to minimize confounding factors and ensure that the observed effects are due to the manipulated variables. Variables can be classified as independent, dependent, or controlled. Independent variables are manipulated by the researcher, dependent variables are the outcomes or the observed effects, and controlled variables are kept constant to prevent their influence on the results.Step 4: Conduct the ExperimentOnce the experiment has been designed and variables have been identified, it is time to conduct the experiment. Follow the established protocol, collecting relevant data and observations. Take into consideration the ethical guidelines and safety precautions to ensure the integrity of the experiment and the well-being of participants.Step 5: Analyze and Interpret the ResultsAfter data collection, it is important to analyze and interpret the obtained results. Statistical analysis methods can be employed to determine the significance of the observed effects. Consider factors such as margin of error, confidence intervals, and p-values to draw meaningful conclusions.Step 6: Draw ConclusionsBased on the results obtained, draw conclusions regarding the hypothesis. If the data supports the hypothesis, it provides evidence tovalidate the proposed explanation. However, if the data contradicts the hypothesis, it suggests a revision of the initial hypothesis or the formulation of a new one. Ensure that the conclusions are based on sound scientific reasoning and are supported by the empirical evidence obtained from the experiment.Considerations and Potential Challenges- Sample size: Ensure that the sample size is sufficient to achieve statistical power and accurately capture the effects of variables.- Control group: Create a control group to serve as a basis of comparison, allowing the evaluation of the impact of the independent variable.- Replicability: Conduct the experiment multiple times to ensure the reliability of the results. Replicability adds strength to the validity of the findings.- Ethical considerations: Adhere to ethical guidelines and obtain necessary consent from participants to maintain the ethical integrity of the experiment.- External validity: Consider the generalizability of the results to the broader population or other settings. It is important to acknowledge any limitations or potential biases that might affect the external validity. ConclusionExperimental verification is a foundational aspect of scientific research. By following the outlined methodology and taking into account theconsiderations and potential challenges, researchers can conduct experiments that generate reliable and valid results. Through rigorous experimentation, scientists are able to advance knowledge, inspire further research, and make important contributions to their respective fields.。

计算机视觉领域的letter

计算机视觉领域的letter

计算机视觉领域的letterComputer vision, a rapidly evolving field at the intersection of artificial intelligence and computer science, has witnessed remarkable advancements in recent years. The term "letter" in the context of computer vision typically refers to a formal document or communication, often used to disseminate research findings, innovative ideas, or technical details within the academic community. These letters, which are typically peer-reviewed and published in scientific journals or conferences, serve as a crucial medium for knowledge sharing and advancement in the field.在计算机视觉领域,“letter”通常指的是一种正式的文档或通讯方式,常用于在学术界内传播研究成果、创新思想或技术细节。

这些信件通常经过同行评审,并发表在科学期刊或会议上,成为知识共享和领域进步的关键媒介。

A computer vision letter typically follows a structured format, outlining the problem statement, methodology, experimental results, and discussion. It often begins with an introduction that provides background information on the topic and establishes the motivation for the research. The methodology section details the techniques and algorithms used to address the problem, while the experimental results section presents the outcomes of the research, including quantitative and qualitative analysis.计算机视觉领域的信件通常采用结构化格式,概述问题陈述、方法、实验结果和讨论。

如何进行科学研究与试验发展工作英文作文

如何进行科学研究与试验发展工作英文作文

如何进行科学研究与试验发展工作英文作文Scientific research and experimental development, commonly known as R&D, play a crucial role in advancing knowledge, fostering innovation, and driving technological progress in various fields. In the contemporary world, R&D activities have become instrumental in addressing complex societal challenges, enhancing industrial competitiveness, and improving quality of life. Thus, it is imperative to understand the fundamental principles and key steps involved in conducting scientific research and experimental development work.The process of conducting scientific research and experimental development work typically begins with identifying a research question or problem. This initial stage involves conducting a comprehensive review of existing literature, theories, and empirical evidence to gain insightsinto the current state of knowledge and identify gaps in understanding. Subsequently, researchers need to formulate clear research objectives, hypotheses, or research questions that will guide their investigative efforts.Once the research problem has been clearly defined, researchers must design a robust research methodology that aligns with the nature of the research problem and the desired outcomes. This may involve selecting appropriate research methods, such as quantitative or qualitative approaches, experimental design, data collection techniques, and sampling strategies. Ethical considerations, data validity, reliability, and generalizability are critical factors to be taken into account during this stage.With the research design in place, researchers can proceed to data collection and experimentation. Careful attention must be given to ensuring the quality and integrity of data, minimizing biases, and controlling extraneousvariables. Depending on the nature of the research, this stage may involve conducting laboratory experiments, field studies, surveys, interviews, or observational research. Rigorous data analysis and interpretation are essential to derive meaningful insights and draw valid conclusions from the collected data.The outcomes of scientific research and experimental development work are typically disseminated through various scholarly channels, such as peer-reviewed journals, academic conferences, research symposiums, and institutional reports. Publishing research findings contributes to the body of knowledge within a particular discipline, enables the exchange of ideas and insights, and facilitates ongoing discourse and debate among researchers.Moreover, successful R&D outcomes often lead to the development of innovative products, processes, technologies, or services that have practical applications in industry,healthcare, agriculture, environmental sustainability, and other domains. Translating research outcomes into tangible outcomes requires collaboration with industry partners, technology transfer, patenting, and commercialization strategies.It is also important to acknowledge that scientific research and experimental development work often involve interdisciplinary collaboration, involving experts from diverse fields, including natural sciences, social sciences, engineering, medicine, and humanities. Cross-disciplinary exchanges of knowledge and expertise can enrich the research process and lead to novel insights and breakthrough discoveries.In conclusion, conducting scientific research and experimental development work is a multifaceted and dynamic endeavor that demands meticulous planning, methodological rigor, ethical responsibility, and collaborative engagement.By embracing these principles and practices, researchers can make valuable contributions to advancing knowledge, solving complex problems, and fostering innovation for the betterment of society and the world at large.。

sci投稿中的research data范文

sci投稿中的research data范文

sci投稿中的research data范文Title: Research Data in SCI Manuscript SubmissionIntroduction:The management and presentation of research data in scientific publications play a crucial role in ensuring transparency, reproducibility, and the advancement of knowledge. This article aims to provide a comprehensive guide on how to include research data in SCI manuscript submissions effectively.Section 1: The Importance of Research DataResearch data serves as the foundation of scientific investigations, allowing for the replication and validation of findings. It provides evidence, supports scientific arguments, and allows others to build upon existing knowledge. By including research data in SCI manuscript submissions, authors contribute to the overall integrity and robustness of the scientific community.Section 2: Organizing Research DataTo enhance readability, research data should be organized in a coherent manner. Authors can categorize their data into sections such as experimental procedures, results, and analysis. Additionally, tables, figures, and graphs can be used to present complex data in a clear and concise manner. Proper labeling and referencing of data sources are essential to avoid confusion or plagiarism.Section 3: Data Availability and SharingTo promote transparency and facilitate scientific collaborations, authors are encouraged to make their research data available and accessible. Data repositories or online platforms dedicated to data sharing, such as Dryad or Figshare, should be utilized. Including a Data Availability Statement in the manuscript provides readers with information on where and how to access the data.Section 4: Data Reproducibility and MethodologyReproducibility is a fundamental aspect of scientific research. Authors should provide detailed descriptions of the methodology and experimental procedures employed in their study. This includes specifying variables, equipment used, and any modifications made from established protocols. Clear and concise details enable other researchers to replicate the study successfully.Section 5: Data Analysis and Statistical MethodsWhen presenting research data, authors should describe the statistical methods employed for data analysis. Providing sufficient information about the statistical tests and software used helps readers understand the validity and reliability of the results. Properly labeling graphs and figures with axis titles and appropriate units of measurement is essential for accurate interpretation.Section 6: Data Interpretation and DiscussionWhile presenting research data is crucial, it is equally important to interpret the findings and discuss their implications. Authors should contextualize the data within the scope of their study and address theresearch questions or hypotheses. The limitations of the study and potential sources of error should also be acknowledged to provide a balanced perspective.Section 7: Data Citation and ReferencesIn the manuscript, all data sources should be appropriately cited and referenced. Authors should adhere to the citation style specified by the journal's guidelines. Additionally, when citing data obtained from other studies, authors should ensure accuracy and provide the necessary permissions or acknowledgments as required.Conclusion:In conclusion, including research data in SCI manuscript submissions is vital for promoting transparency, reproducibility, and scientific advancement. By organizing and presenting data effectively, authors contribute to the overall integrity of scientific research. Embracing data sharing, providing detailed methodologies, and promoting proper data analysis and interpretation further enhance the value of the research conducted. As responsible scientists, it is our duty to ensure the availability and reliability of research data for the betterment of the scientific community as a whole.。

《大学物理实验课件:双缝干涉与杨氏实验》

《大学物理实验课件:双缝干涉与杨氏实验》

Use a ruler or caliper to measure the distances involved in the experiment.
Take photos of the interference pattern to aid in data analysis and presentation.
Understand the concept of path difference and its effect on interference fringes.Leabharlann 3 Interference
Equation
Derive the equation for calculating the position of interference fringes.
Wavefront Engineering
Learn how double slit interference is used in various applications, such as wavefront engineering for optics.
Optical Interferometry
Experimental Setup
Understand the components and arrangement required to observe double slit interference.
Observing Interference
Discover how the pattern of bright and dark fringes is formed on a screen.
distance to optimize the
interference pattern.

做实验的英文

做实验的英文

做实验的英文Title: Conducting Experiments - A Comprehensive GuideIntroduction:Conducting experiments is a fundamental aspect of scientific research and plays a crucial role in acquiring new knowledge and advancing various fields of study. In this document, we will explore the key components and steps involved in designing and conducting experiments, as well as the importance of adhering to certain guidelines and principles. By following these guidelines, researchers can ensure the reliability and validity of their experimental findings, enabling the scientific community to build upon existing knowledge and make meaningful progress.I. Components of Experimental Design:1. Research question: Every experiment begins with a well-defined research question that identifies the specific problem or phenomenon to be investigated.2. Hypothesis: A hypothesis is a tentative explanation or prediction that researchers formulate based on existing knowledge and observations. It forms the foundation fordesigning the experiment and guides data collection and analysis.3. Variables: Experiments involve manipulating independent variables, which are factors that researchers deliberately change, and measuring dependent variables, which are the outcomes or responses being observed.4. Control group: In many experiments, it is essential to havea control group that does not receive the treatment or intervention being tested. This group serves as a baseline for comparison, enabling researchers to determine the true effects of the independent variable.5. Experimental group: The experimental group receives the treatment or intervention being tested. Any differences observed between the control and experimental groups can be attributed to the independent variable under investigation.II. Experimental Methodology:1. Sample selection: Researchers must carefully consider the sample size and selection criteria to ensure that the results are representative of the larger population.2. Randomization and blinding: Random assignment of participants to control and experimental groups helps minimize bias and confounding variables. Blinding, both single-blind and double-blind, ensures that participants andresearchers are unaware of the group assignments, reducing subjective bias in data collection and analysis.3. Experimental procedure: The experimental procedure should be clear and detailed to allow for replication by others. It should outline the steps involved in implementing the independent variable and monitoring the dependent variable accurately.4. Data collection: Researchers should employ appropriate methods to gather data, such as surveys, observations, measurements, or interviews. These methods must be carefully chosen to maintain reliability and minimize errors or biases.5. Statistical analysis: Applying statistical techniques helps researchers draw meaningful conclusions from the data, determine the significance of results, and understand the potential limitations or confounding factors.III. Ethical Considerations:1. Informed consent: Participants must provide informed consent before participating in the experiment, understanding the purpose, procedures, potential risks, and benefits involved.2. Confidentiality: Ensuring that participants' personal information remains confidential is crucial in maintaining trust and equity in research.3. Risk assessment: Researchers should assess and minimize any potential risks or harm to participants throughout the experiment.4. Compliance with regulations: It is essential to adhere to local, national, and international ethical guidelines and regulations related to research involving human subjects, animals, or sensitive data.Conclusion:Designing and conducting experiments requires careful planning, precision, and adherence to scientific principles and ethics. Through meticulous experimental design, rigorous data collection, and unbiased analysis, researchers can generate reliable and robust results. The knowledge gained from well-designed experiments aids in understanding natural phenomena, solving problems, and contributing to scientific advancements. By following the guidelines outlined in this document, researchers can enhance the credibility and impact of their experiments, promoting scientific progress and innovation in their respective fields.。

试验和标准手册 第七版英文名

试验和标准手册 第七版英文名

试验和标准手册第七版英文名试验和标准手册第七版英文名:A Guide to Experiments and Standards, 7th Edition1. IntroductionIn the fast-paced and ever-evolving world of science and technology, experiments play a crucial role in advancing our understanding and knowledge. However, conducting experiments in a standardized andreliable manner is equally important to ensure accurate and reproducible results. This is where the “Guide to Experiments and Standards” comes into play. The seventh edition of this comprehensive manual provides researchers, scientists, and engineers with a valuable resource for designing, conducting, and evaluating experiments according to international standards.2. Importance of Standardization in ExperimentsStandardization is essential in experiments to ensure consistency, reliability, and comparability of results. The second section of the manual focuses on the significance of following standardized protocols and procedures. It highlights the benefits of using established standards in terms of data accuracy, quality control, and reproducibility. Moreover, the section discusses the role of standardization in facilitating collaboration, knowledge sharing, and global harmonization in scientific research.3. Designing ExperimentsThe third section of the manual delves into the intricacies of experimental design. It provides an in-depth exploration of the key components of a well-designed experiment, including the formulation of research questions, identification of variables, selection of sample size, and determination of statistical methods. The section also emphasizes the importance of considering ethical considerations andpotential limitations when designing experiments. A step-by-step guide to experimental design is presented, highlighting the crucial elements at each stage.4. Choosing the Right MethodologyThe fourth section focuses on selecting the appropriate methodology for experiments. It discusses various experimental techniques, such as observational studies, controlled laboratory experiments, field experiments, and simulation-based experiments. The advantages, disadvantages, and specific applications of each methodology are thoroughly explained. The section also provides guidance on selecting the most suitable methodology based on research objectives, available resources, and ethical considerations.5. Implementing ExperimentsOnce the experimental design and methodology are determined, the fifth section of the manual guides researchers on how to implement experiments effectively. This section covers various aspects, including data collection, equipment calibration, experimental setup, and recording procedures. Clear guidelines are provided to ensure accuracy, precision, and reliability in data collection. Furthermore, the section highlights the importance of maintaining detailed records and adhering to good laboratory practices.6. Statistical Analysis and InterpretationThe sixth section of the manual focuses on statistical analysis and interpretation of experimental data. It provides an overview of fundamental statistical concepts and techniques, such as hypothesis testing, confidence intervals, regression analysis, and analysis of variance. The section also emphasizes the importance of proper data analysis in drawing valid conclusions from experiments. Practical examples and case studies are included to facilitate understanding and application.7. Ensuring Quality AssuranceQuality assurance is a vital aspect of experiments to minimize errors, biases, and uncertainties. The seventh section of the manual explores various quality assurance measures that can be implemented throughout the experimental process. It covers topics such as calibration and verification of equipment, standardization of protocols, repeatability and reproducibility assessments, and traceability of measurements. The section also highlights the role of external quality assessments and laboratory accreditation in ensuring reliable and trustworthy experimental results.8. Documenting and Reporting ExperimentsThe eighth section addresses the importance of proper documentation and reporting of experimental procedures, results, and conclusions. It provides guidelines on preparing clear, concise, and comprehensive reports that adhere to recognized international standards. The section emphasizes the significance of transparency, traceability, and reproducibility in research publications. Additionally, it discusses the role of peer review and open access initiatives in promoting scientific rigor and integrity.ConclusionIn conclusion, the “Guide to Experiments and Standards, 7th Edition” serves as an invaluable resource for researchers, scientists, and engineers involved in experimental work. By promoting standardization, proper experimental design, accurate data analysis, and quality assurance measures, this manual contributes to the advancement of scientific knowledge and the reliability of experimental findings. By following the guidelines provided in this manual, researchers can enhance the validity, credibility, and impact of their experiments, ultimately driving progress in their respective fields.。

Method and Methodology解读

Method and Methodology解读

Exercise: Breast Cancer text
To evaluate whether environmental tobacco smoke (ETS) influences breast cancer incidence, data from a population based case control study were analysed. Respondents with available ETS information assessed by questionnaires included 1356 newly diagnosed cases and 1383 controls.
Research Techniques
These are techniques for collecting data, but there are many more: Document searches Interviews Observation Questionnaires
Exercise
Methods and Methodologies
There are two research families:

Quantitative or qualitative Deskwork or fieldwork
Qualitative and Quantitative
Quantitative research is empirical research where the data are in the form of numbers. Qualitative research is empirical research where the data are not in the form of numbers (sociology, anthropology, etc).

弗朗西斯培根

弗朗西斯培根
3. Professional: Maxim of the Law 格言集
Reading on the Statute of Uses 阅读在法令的应用
A great tract on education
In this book Bacon highly praised knowledge, refuting the objections to learning
methodology
Scientific methodology(科学方法论): Inductive method(归纳法) /reasoning (推理) in scientific study
Induction implies drawing knowledge from the natural world through experimentation, observation, and testing of hypotheses. In the context of his time, such methods were connected with the occult(超自然的) trends of hermeticism (赫尔墨斯神智学)and alchemy 炼金术
Empiricism经验主

1. a doctrine that all knowledge is based on experience
2. Sense & experience
Bacon thought that the sense organ is the only way that can be used by people to know this objective world .Although he emphasized the importance of sensational experience, he didn’t regard it as the absolute law for the limitations of sense organs

iss评分标准

iss评分标准

iss评分标准ISS评分标准是指对于国际空间站(International Space Station,简称ISS)上的任务进行评估和评分的一套标准和指导方针。

ISS评分标准旨在确保每个任务的安全性、可靠性和有效性,同时也有助于提高任务的执行效率和优化资源利用。

以下是ISS评分标准的一些相关参考内容:1. 安全性(Safety):ISS评分标准首先关注的是任务的安全性。

评分标准会对航天器、设备和系统的可靠性进行评估,以确保其满足规定的安全标准。

此外,评分标准还包括了宇航员的安全培训和应急计划的考核。

2. 技术可行性(Technical Feasibility):ISS评分标准还会对任务的技术可行性进行评估。

这包括对航天器和设备的设计、工程和制造过程的审核,以确保它们符合相关的技术要求,并且能够承受在太空环境中的各种考验。

3. 目标和科学价值(Objectives and Scientific Value):评分标准会评估任务的目标和科学价值。

这包括研究任务的科学原理、实施方法、研究问题的重要性和创新性等方面的考核。

评分标准还关注任务对国际空间站的建设和运营的贡献程度,以及任务对地球和人类的研究和探索的意义。

4. 实验设计和方法(Experimental Design and Methodology):ISS评分标准会对实验的设计和方法进行评估。

这包括实验的目的、实施步骤、数据采集和分析方法等方面的审核。

评分标准会关注实验的科学合理性和严谨性,以及实现实验目标所需的资源和条件是否得到充分考虑。

5. 国际合作与团队合作(International Collaboration and Teamwork):ISS是由多个国家共同建设和运营的,评分标准会评估任务是否充分考虑了国际合作和团队合作的需求。

这包括合作伙伴的参与程度、交流和合作机制的建立以及共同利益的平衡等方面的审核。

6. 资源利用和时间管理(Resource Utilization and Time Management):ISS评分标准还会评估任务所需的资源和时间管理能力。

methodology 研究方法

methodology 研究方法

methodology 研究方法
研究方法(Methodology)是指在科学研究中使用的一套系统化的方法和技术,用于解决研究问题、收集和分析数据,并得出可靠的结论。

在具体的研究领域中,常用的研究方法可以包括以下几种:
1. 实证研究方法(Empirical Research):通过收集和分析现实世界中的观察数据,以验证或推翻研究假设。

2. 实验研究方法(Experimental Research):通过对某个或某些变量进行人为的控制和操作,观察和测量其他变量的变化,确定因果关系。

3. 调查研究方法(Survey Research):通过设计问卷、面谈等方式,收集大量的数据,以了解人们在某个特定领域的观点、态度和行为。

4. 文献研究方法(Literature Review):通过对已有文献、报告、研究成果等进行系统性的综合和分析,提出问题、总结现有研究成果、做出新的理论、观点或方法。

5. 实地观察研究方法(Field Research):通过直接观察和参与现场活动,收集数据,并进行详细的观察和分析。

6. 定性研究方法(Qualitative Research):主要关注人们的主观感受、经验和行为背后的意义,通过访谈、观察等方法收集
和分析定性数据。

7. 定量研究方法(Quantitative Research):主要关注统计数据和数字,通过问卷调查、实验等方式收集大量数据,进行定量分析和统计。

以上仅是一些常见的研究方法,研究者可以根据具体研究问题和研究目的选择合适的研究方法,并结合实际情况进行混合使用,以便获得更全面和准确的研究结果。

《弗兰西斯培根英》课件

《弗兰西斯培根英》课件
Contribution to Literature
His literary works not only enriched the diversity of literature, but also had a profound impact on later writers, inspiring them to think about human nature, society, and the world.
Academic Progress emphasizes the importance of academic research for the progress of human civilization and its driving role in social development.
Meditations: Bacon's collection of philosophical reflections, exploring multiple themes such as human existence, morality, and politics.
Bacon often explores social issues in his works, demonstrating his concern and reflection on social development.
Francis Bacon's Thought
Ideological core
Ideological development
Bacon's ideas have had a profound impact on the academic community in Europe, promoting the popularization of scientific methods and experimental spirit, and laying the foundation for the formation of modern science.

焊接工艺英文文献怎么写

焊接工艺英文文献怎么写

焊接工艺英文文献怎么写Abstract: Welding technology is widely used in various industries, and the quality of welding directly affects the performance and safety of the welded structure. Therefore, it is necessary to study and improve welding technology. This article discusses the writing of English literature on welding technology, includingthe introduction, experimental design, experimental results and analysis, and conclusion.1.Introduction The introduction should provide a brief overview of theresearch topic and the significance of the study. It should clearly state theresearch objectives and research questions. In the case of welding technology, the introduction can briefly introduce the importance of welding in variousindustries and the potential problems and challenges that exist in currentwelding technology.2.Experimental Design The experimental design section should describethe methodology and procedure used in the study. It should provide detailed information on the welding materials, equipment, and parameters. The section should also explain the experimental setup and any modifications made to the standard welding process. The purpose of this section is to allow others toreplicate the experiment and validate the results.3.Experimental Results and Analysis In this section, the experimentalresults should be presented and analyzed in a clear and concise manner. Tables, graphs, and figures can be used to illustrate the findings. The section shouldalso include a discussion of the results, comparing them to previous studies or industry standards. Any deviations or unexpected results should be explained and possible reasons should be provided.4.Conclusion The conclusion section summarizes the key findings of thestudy and provides recommendations or suggestions for further research. Itshould restate the research objectives and answer the research questions. The conclusion should also discuss the implications of the findings for the field of welding technology and highlight any practical applications or improvements that can be made.In conclusion, writing an English literature on welding technology requires a clear structure and logical flow. The introduction should provide a background and context for the study, while the experimental design section details the methodology and procedure. The experimental results and analysis section presents the findings in a clear and concise manner, and the conclusion summarizes the key findings and provides recommendations for further research. By following these guidelines, researchers can effectively communicate their work and contribute to the field of welding technology.。

英语论文分析学习第3节methodology

英语论文分析学习第3节methodology

Abstract
Introduction
methodology
results
Discussion/conclusion
The contents of a research article or thesis
*
融资项目商业计划书
单击此处添加副标题
*
Warming up question:
what kind of research methods do you use in your field.?
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16S焦磷酸测序关键因素是选择一个目标区域细菌图谱

16S焦磷酸测序关键因素是选择一个目标区域细菌图谱

16S焦磷酸测序关键因素是选择⼀个⽬标区域细菌图谱Target Region Selection Is a Critical Determinant of Community Fingerprints Generated by16S PyrosequencingPurnima S.Kumar1*,Michael R.Brooker1,Scot E.Dowd2,Terry Camerlengo31Division of Periodontology,College of Dentistry,The Ohio State University,Columbus,Ohio,United States of America,2Research Testing Laboratory,Lubbock,Texas, United States of America,3Comprehensive Cancer Center,The Ohio State University,Columbus,Ohio,United States of AmericaAbstractPyrosequencing of16S rRNA genes allows for in-depth characterization of complex microbial communities.Although it is known that primer selection can influence the profile of a community generated by sequencing,the extent and severity of this bias on deep-sequencing methodologies is not well elucidated.We tested the hypothesis that the hypervariable region targeted for sequencing and primer degeneracy play important roles in influencing the composition of16S pyrotag communities.Subgingival plaque from deep sites of current smokers with chronic periodontitis was analyzed using Sanger sequencing and pyrosequencing using4primer pairs.Greater numbers of species were detected by pyrosequencing than by Sanger sequencing.Rare taxa constituted nearly6%of each pyrotag community and less than1%of the Sanger sequencing community.However,the different target regions selected for pyrosequencing did not demonstrate a significant difference in the number of rare and abundant taxa detected.The genera Prevotella,Fusobacterium, Streptococcus,Granulicatella,Bacteroides,Porphyromonas and Treponema were abundant when the V1–V3region was targeted,while Streptococcus,Treponema,Prevotella,Eubacterium,Porphyromonas,Campylobacer and Enterococcus predominated in the community generated by V4–V6primers,and the most numerous genera in the V7–V9community were Veillonella,Streptococcus,Eubacterium,Enterococcus,Treponema,Catonella andSelenomonas.Targeting the V4–V6 region failed to detect the genus Fusobacterium,while the taxa Selenomonas,TM7and Mycoplasma were not detected by the V7–V9primer pairs.The communities generated by degenerate and non-degenerate primers did not demonstrate significant differences.Averaging the community fingerprints generated by V1–V3and V7–V9primers providesd results similar to Sanger sequencing,while allowing a significantly greater depth of coverage than is possible with Sanger sequencing.It is therefore important to use primers targeted to these two regions of the16S rRNA gene in all deep-sequencing efforts to obtain representational characterization of complex microbial communities.Citation:Kumar PS,Brooker MR,Dowd SE,Camerlengo T(2011)Target Region Selection Is a Critical Determinant of Community Fingerprints Generated by16S Pyrosequencing.PLoSONE6(6):e20956.doi:10.1371/journal.pone.0020956Editor:Jonathan H.Badger,J.Craig Venter Institute,United States of AmericaReceived February3,2011;Accepted May14,2011;Published June29,2011Copyright:?2011Kumar et al.This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use,distribution,and reproduction in any medium,provided the original author and source are credited.Funding:The research was supported by NIH grant1R03DE018734-01A1.The funders had no role in study design,data collection and analysis,decision to publish,or preparation of the manuscript.Competing Interests:The authors have declared that no competing interests exist.*E-mail:kumar.83@/doc/fafdbe72168884868762d6f5.htmlIntroductionMolecular approaches have revealed the presence of large numbers of as-yet-uncultivated organisms in the subgingival microbiome;creating a paradigm shift in our understanding of periodontal health and disease[1,2,3,4].In recent years, sequencing of16S rRNA genes by the Sanger method(16S cloning and sequencing)has been widely used to examine subgingival microbial profiles in periodontal health and disease, as well as to characterize compositional shifts in these communities [5,6,7,8,9].However,recent studies suggest that next-generation sequencing methodologies provide an economical and significantly higher-throughput alternative to Sanger sequencing for compar-ative genomics[10,11].Pyrosequencing of PCR-amplified16S rDNA(‘16S pyrotags’)is a next-generation sequencing methodology that is capable of generating thousands of sequences from several samples simulta-neously.The unprecedented sampling depth provided by this deep-sequencing approach allows the identification of several numerically minor or rare species within a community and has revealed a significantly greater level of microbial diversity than was previously apparent with Sanger sequencing[12,13].Unlike Sanger sequencing,which is capable of sequencing the entire gene,pyrosequencing is currently limited to generating sequences that are usually350–500bp in length.In order to improve community coverage,various investigations have em-ployed primers that target different regions of the gene[12,13,14]. It has previously been shown,using Sanger sequencing,that the region of the16S gene that is targeted for sequencing as well as the degeneracy of the sequencing primers introduce a level of bias into the community profile[2,15].Since pyrosequencing provides an enormously increased depth-of-coverage,it is important to understand the extent and severity of bias introduced by primer selection on the profile of any given community.Previous studies have examined this bias using simulated datasets obtained by truncating full-length sequences,in silico testing of primer sequences for community coverage rates or by analyzing artificial bacterial communities created by mixingbacterial isolates[15,16,17,18,19].However,it is logical to expect that fragment length(,1.5kb with Sanger sequencing and150–500bp with pyrosequencing)and as well as sequencing chemistry will affect amplification efficiency;therefore,profiles derived from artificially generated sequences may not accurately represent the coverage obtained from naturally occurring microbial communi-ties.In fact,a recent investigation comparing454and Illumina sequencing has found significant divergence between in silico predictions and experimental results,emphasizing the need for experimental validation of primer pairs[20].Hence,it is important to investigate the extent of this bias using sequences derived from clinical samples.The purpose of this investigation,therefore,was to examine the bias introduced by target region selection and as well as by primer degeneracy on coverage of subgingival microbial communities using pyrosequencing.MethodsSubject selectionApproval for this study was obtained from the Office of Responsible Research Practices at The Ohio State University.10 current smokers with generalized moderate to severe chronic periodontitis were identified following clinical and radiographic examination and written informed consent was obtained. Exclusion criteria included diabetes,HIV infection,use of immunosuppressant medications,bisphosphonates or steroids, antibiotic therapy or oral prophylactic procedures within the last three months and less than20teeth in the dentition.Sample collection and DNA isolationSubgingival plaque samples were collected and pooled from four non-adjacent proximal sites demonstrating at least6mm of attachment loss and5mm of probe depths.Samples were collected by inserting4sterile endodontic paper points(Caulk-Dentsply)into each of the4sites for10seconds,following isolation and supragingival plaque removal.Samples were placed in1.5ml microcentrifuge tubes and frozen until further analysis.Bacteria were separated from the paper points by adding200m l of phosphate buffered saline(PBS)to the tubes and vortexing.The points were then removed,and DNA was isolated with a Qiagen DNA MiniAmp kit(Qiagen,Valencia,CA)using the tissue protocol according to the manufacturer’s instructions. Selection and optimization of primers Four sets of primers were used to amplify each sample(A17and 519R,27F and515R,519F and1114R,1114F and317).The primer sequences are listed in Table1.Primer pairs were selected to generate400–500bp products from contiguous regions of the16S rRNA gene.Previous sequencing-based investigations were exam-ined and the primers most commonly used in these studies were selected[2,6,7,8,9,13,21,22].The universality of the primer pairs was assessed by comparing them to our locally hosted,curated database of1800nearly full-length16S sequences derived from GenBank.MacVector was used for alignment and determining melting temperatures and GC ratios of the resulting amplicons. Complementary sequences were generated from the published sequences of primers519and1114.Degeneracies were added to primer515R following comparison to the oral bacterial database to maximize matches of primer against bacterial sequences. PyrosequencingMultiplexed bacterial tag-encoded FLX amplicon pyrosequenc-ing(bTEFAP)was performed using the Titanium platform(Roche Applied Science,Indianapolis,IN)as previously described[22]in a commercial facility(Research and Testing Laboratories, Lubbock,TX).Briefly,a single step PCR with broad-range universal primers and22cycles of amplification was used to amplify the16S rRNA genes as well as to introduce adaptor sequences and sample-specific10-mer oligonucleotide tags into the DNA.The same bar codes were utilized for each primer set.Three regions of the16S gene were sequenced from each sample(V1–V3,V4–V6,V7–V9).Adaptor sequences were trimmed from raw data with98%or more of bases demonstrating a quality control of 30and sequences binned into individual sample collections based on bar-code sequence tags,which were then trimmed.The resulting files were denoised with Pyronoise[23]and depleted of chimeras usingB2C2(/doc/fafdbe72168884868762d6f5.html / B2C2.html).Sequences less than,300bp in length were deleted and the rest were clustered into species-level operational taxonomic units(s-OTUs)at97%sequence similarity and assigned a taxonomic identity by alignment to locally hosted version of the Greengenes database[24]using the Blastn algorithm.Phyloge-netic trees were generated and visualized using FastTree[25].All analyses were conducted within the virtual environment provided by the QIIME pipeline[26].Statistical analysisSpecies-level OTUs(s-OTUs)were used to compute the Shannon Diversity and Equitability indices for each sample.EstimateS((Version7.5,R.K.Colwell,/doc/fafdbe72168884868762d6f5.html / estimates)was used to compute the indices and statistical analyses were carried out withJMP(SAS Institute Inc.,Cary,NC).The indices were compared between groups using ANOVA.A variance stabilizing transformation was used to create normal distribution of the data as previously described[27,28].Two sample t-tests were used to compare the transformed values of species and genus-level OTUs between groups.Fisher’s exact test was used to test for presence or absence of genera.ResultsThe pyrotag sequences were compared to previously published data obtained by Sanger sequencing using the primer pairs A17 and317on the same samples[27].A subset of the pyrosequencing data was created using a random number generator to select100 pyrotag sequences from each primer set.This subset was compared to an equivalent number of Sanger sequences.A totalof1054nearly full-length sequences(1300–1460bp)were identified by Sanger sequencing,and167,210sequences by pyrosequencing,representing a167-fold increase in depth-of-coverage with pyrosequencing.Figure1shows the Shannon Diversity and Equitability indices for all primer sets.The Diversity Index was not different between groups;however,the community generated by Sanger sequencing demonstrated significantly greater equitability than all the pyrotag communities(p,0.01,ANOVA).Pyrotag communities generated by the4primer pairs demonstrated similar diversity.Figures2A and2B show the distribution of rare and abundant taxa by primer pair and sequencing methodology. 1.9%of sequences could not be classified into any taxon below the level of domain.Taxa with less than20overall sequences were designated as rare.Sanger sequences demonstrated significantly lower coverage of rare as well as abundant species than pyrosequencing (p,0.001,ANOVA).However,there were no differences in the number of rare and abundant taxa in any of the pyrotag communities.Figure 3shows the distribution by genus of sequences generated by degenerate and non-degenerate primer pairs targeted to the V1–V3region.There were no differences between the two groups (p .0.05,2-sample t-test on transformed variable).Table 2shows the relative abundance of genera in sequences obtained by pyrosequencing different target regions.Genera accounting for 0.1%of total pyrosequences are shown.Overall,greater numbers of differences were detected in the levels of genera between the V1–V3and V7–V9regions (p ,0.05,2-sample t-test on transformed variable).The regions targeted significantly influenced community profiles generated by pyrose-quencing.The genera Prevotella ,Fusobacterium ,Streptococcus ,Granu-licatella ,Bacteroides ,Porphyromonas and Treponema formed 65%of the community when the V1–V3region was targeted,while Streptococcus ,Treponema ,Prevotella ,Eubacterium ,Porphyromonas ,Cam-pylobacter and Enterococcus accounted for the same abundance in the community generated by V4–V6primers,and 65%of the V7–V9community was formed by Veillonella ,Streptococcus ,Eubacterium ,Enterococcus ,Treponema ,Catonella and Selenomonas .Among the predominant genera,Fusobacteria were not detected in any of the samples by the V7–V9primers,while the V4–V6primers did not detect the Selenomonads,Mycoplasma ,or TM7phylum in any sample (p ,0.05,Fisher’s exact test).Table 3shows the relative abundance of genera obtained by concatenating data from pairs of target regions or by combining all three regions to provide near-full-length coverage of the 16STable 1.Sequences of primers used in study.Target region Primer name (reference)Primer sequence%GC ratio PrimerProduct V1–V3A17(Kumar et al 2005)59-GTT TGA TCC TGG CTC AG-3952.953.4519R (Lane et al 1991)59-GTA TTA CCG CGG CAG CTG GCA C-3963.6V1–V327F (Lane et al 1991)59-AGA GTT TGA TGM TGG CTC AG-395053.4515R (modified from Kroes et al 1999)59-TTA CCG CGG CMG CSG GCA C-3978.9V4–V6519F(modified from Lane et al 1991)59-GTG CCA GCT GCC GCG GTA ATA C-3963.654.61114R(modified from Stackebrandt and Goodfellow 1991)59-GGG TTG CGC TCG TTG C-3968.8V7–V91114F(Stackebrandt and Goodfellow 1991)59-GCA ACG AGC GCA ACC C-3968.854.2317(Kumar et al 2005)59-AAG GAG GTG ATC CAG GC-3958.8Sanger A17(Kumar et al 2005)59-GTT TGA TCC TGG CTC AG-3952.953.8317(Kumar et al 2005)59-AAG GAG GTG ATC CAG GC-3958.8doi:10.1371/journal.pone.0020956.t001Figure 1.Shannon diversity and equitability indices of pyrotag and Sanger communities.No differences were detected between any of the pyrotag communities;however,the Sanger community demonstrated significantly greater equitable than all the pyrotag communities (**p ,0.01,ANOVA).doi:10.1371/journal.pone.0020956.g001gene.Relative abundances of the same genera in near-full-length Sanger sequences are also shown for comparison.To arrive at these results,the subset pyrotag dataset was compared to an equivalent number of Sanger sequences from each sample.Concatenating data from V1–V3and V7–V9regions demon-strated the greatest similarity to Sanger data as well as to the averages of all 3regions.DiscussionIt has been shown that sequences of 500–700bp are required for phylogenetic discrimination at the species levels [9,29].However,previous reports have been equivocal on the level of community coverage achieved using the different hypervariable regions.While several investigations support using the V1,V2and V3regions for deep sequencing [17],others suggest that these regions overestimate species richness and promote the V4–V6region as the most appropriate [19].Yet others have demonstrated that V7–V8fragments achieve representational characterization of a community [30].Our previous investiga-tions with Sanger sequencing have revealed that the subgingival microflora associated with periodontitis in smokers is extremely diverse,with several rare species/phylotypes [27].Hence,plaque samples were collected and pooled from deep sites of current smokers with moderate to severe periodontitis to examine the extent to which primer design affects the community fingerprint of a highly complex and taxonomically heterogeneous microbial /doc/fafdbe72168884868762d6f5.html ing an adequately powered clinical study design to enable statistical analyses allowed an in-depth comparison of the community profiles generated by the different primer sets.The Shannon Diversity index incorporates both the number of species (species richness)as well as the proportion of each species (species evenness)into a single value [31].Thus,while a value of zero necessarily represents a mono-species community,a higher value may result either from the presence of several species at varying levels or from equitable distribution of a fewspecies.Hence,the Equitability index is used to elucidate the relative contributions of species richness and evenness to the Diversity index.Pyrotag communities demonstrated similar diversity to the Sanger community,however,were significantly less equitable (Figure 1),suggesting that greater species richness contributed to the diversity.The increased species richness was apparent in both rare and abundant taxa (Figure 2).This is in contrast to previous investigations;which have suggested that pyrosequencing overes-timates community diversity by overestimating the number ofrareFigure 2.Distribution of sequences by taxa.Rare taxa are shown in Figure 2A and abundant taxa in Figure 2B.The Sanger community demonstrated significantly fewer species-level taxa than pyrosequencing (***p ,0.001,ANOVA).There were no differences between the pyrotag sequences.doi:10.1371/journal.pone.0020956.g002taxa [10,32].A single-step PCR with low cycle numbers and a high fidelity,proofreading polymerase were utilized in this study;and it is possible that this minimized over-representation of rare taxa in the present investigation.No differences were apparent in the number of rare and abundant taxa between the different hypervariable regions;suggesting that targeting a specific region for pyrosequencing does not affect species richness.Taken together,it appears that selecting a specific region for pyrose-quencing is not a source of bias in the diversity of the resulting community or in the number of taxa detected.Out of the four primer pairs selected,two pairs targeted the same region (V1–V3),one pair containing degenerate sequences and the other non-degenerate.Fragments encompassing the V1–V3region have been the most common targets for both Sanger sequencing and pyrosequencing;and both non-degenerate and degenerate primers have been used to amplify this region[2,6,7,8,9,33].It has previously been suggested that inclusion of degenerate sequences improves the ‘‘universality’’of primers (reviewed by Baker et al [15]),however,our data does not support a role for primer degeneracy in improving community coverage.This is in concordance with previous investigations that have reported no effect of primer degeneracy on profiles of naturally occurring microbial communities [34].Although degenerate primers,by virtue of their lowered specificity,may amplify larger number of taxa within a community,it has been shown that this effect is magnified when large PCR cycle numbers are used [35].The present investigation used 22cycles to amplification to ensure representational amplification of the community template,and it is possible that the low cycle numbers precluded a possible influence by degenerate primers.Our data suggest that the hypervariable region targeted for sequencing plays a critical role in influencing the composition of pyrotag communities.Previous investigations have reported that amplicon size and PCR kinetics may be a source of sequencingbias [36,37].To overcome this in the present study,sequencing primers were carefully selected to generate similar amplicon sizes (,500bp for V1–V3amplicons,,550bp for V4–V6amplicons and,470bp for V7–V9amplicons).Identical PCR cycling conditions were also utilized for all primer sets,thereby reducing the possibility of bias from this/doc/fafdbe72168884868762d6f5.html ing a single pyrose-quencing run to generate all sequences further reduced bias due to PCR and sequencing kinetics.Thus,the observed differences could not be attributed to these variables.It is especially striking that even though these samples were derived from sites with severe disease,the V7–V9communities were dominated by Veillonella and the V4–V6communities by Streptococci (Table 2),genera that have been previously associated with periodontal health [33].Similarly,Treponema ,a disease-associated genus;was found in high numbers in the V4–V6and V7–V9communities;while other disease-associated genera,for example,Prevotella ,Porphyromonas ,and Bacteroides were predominant in V1–V3communities derived from the same run.Fusobacteria were undetected by the V7–V9primers while forming nearly 19%of the V1–V3community.Similarly,the Selenomonads were not detectable by the V4–V6primers,while forming 6%of the V7–V9community.Concatenated data from V1–V3and V7–V9regions resulted in community profiles that did not significantly differ from Sanger sequences or full-length pyrosequences for the predominant genera,while averages of the other two regions did not yield similar results (Table 3).It is also noteworthy that the greatest differences were observed in the community fingerprints generated by these two primer sets.The mechanism causing this difference is not clear and warrants further investigation.It could be hypothesized that presence and nature of secondary structures within the target regions as well as the GC ratios of the resultant fragments may have contributed to the differences.It is known that the V1,V4and V7regions exhibit differences in the number of stems as well as in nucleotide variations within these stems [38,39],and while is possiblethatFigure 3.Distribution of sequences generated by degenerate and non-degenerate primers by genus.Percent mean abundances and standard deviations are shown.Genera are arranged in a gradient such that those predominant in the degenerate community are arranged on the left.There were no differences between the two communities in the relative abundance of any genus (p.0.05,2-sample t-test on transformed variable).doi:10.1371/journal.pone.0020956.g003differential amplification efficiencies contributed to the composi-tional differences,it is not within the scope of this study to test this hypothesis.It has been shown that higher GC ratios result in higher amplification efficiencies[35],thereby altering PCR kinetics,with over-amplification of rare members and under-representation of dominant species[40].In the present investiga-Table2.Relative abundances of genera in pyrotag sequences.Genus Percent total pyrotags Percent abundance(mean±standard deviation)V1–V3V4–V6V7–V9Streptococcus(A,B)15.08.363.125.264.311.568.0Prevotella(A,B,C)11.523.165.98.265.4 3.361.9Fusobacterium(A,C)7.318.368.3 3.662.00.060.0Treponema(A)7.3 1.864.212.263.37.8610.2Eubacterium(C) 6.6 1.961.1 5.264.212.665.1Enterococcus(C) 5.30.360.4 5.362.410.365.0Veillonella(B,C) 5.00.360.2 1.560.113.166.6Selenomonas(B) 3.5 4.262.10.060.0 6.362.2Granulicatella(A,C) 3.5 6.963.8 1.361.8 2.261.8Dialister 3.4 1.661.8 3.160.4 5.467.1Parvimonas(B) 3.4 2.661.2 1.260.6 6.362.6 Porphyromonas(B) 3.2 3.562.2 5.861.20.260.1 Campylobacter(B) 3.1 2.161.1 6.261.2 1.060.7Catonella 3.0 1.962.4 1.262.2 5.966.4Bacteroides(C) 3.0 5.164.4 3.561.10.360.3Synergistes(B) 2.2 2.162.6 4.360.90.360.3Neisseria(A) 2.00.560.6 3.461.8 2.161.3 Capnocytophaga 1.7 2.662.3 1.361.8 1.161.1Unclassified Bacteroidales(A,B) 1.6 1.160.3 3.461.40.460.7Filifactor 1.50.760.9 1.960.3 1.862.3Gemella 1.4 1.261.50.860.6 2.261.9Unclassified Veillonellaceae(C) 1.20.560.60.960.3 2.162.5Megasphaera 1.00.760.10.560.1 1.860.6Leptotrichia(C) 1.0 2.261.30.560.10.360.4TM7phylum(A,C)0.8 2.461.40.060.00.060.0Mycoplasma(A,C)0.7 1.962.40.060.00.160.1Hemophilus0.50.160.10.0260.02 1.462.6Lautropia0.50.660.70.560.20.460.4 Corynebacterium0.50.860.40.0160.20.660.2Arthrobacter0.40.160060 1.160.3Actinomyces0.30.560.20.0260.20.560.2Oribacterium0.30.160.10.261.10.761.4Kingella0.30.360.20.560.10.060.0Unclassified Clostridiales0.20.360.40.160.010.360.2Atopobium0.20.460.30.160.20.260.2Eikenella0.20.460.10.260.20.060.0Unclassified Lachnospiraceae0.20.560.30.0160.020.0460.01Lactococcus0.20.160.10.060.00.460.3Desulfobulbus0.10.160.10.060.00.360.3Ralstonia0.10.160.20.060.00.260.2Solobacterium0.10.260.20.060.00.060.0Percent mean abundances(and standard deviations)of genera in the3pyrotag and Sanger sequence communities are shown,arranged in order of decreasing overall prevalence.Alphabets in parentheses indicate statistically significant differences between groups(p,0.05,2-sample t-test on transformed variable).A-significant difference between V1–V3&V4–V6,B-significant difference between V1–V3&V7–V9,C-significant difference between V4–V6&V7–V9(2-sample t-test on transformed variable).doi:10.1371/journal.pone.0020956.t002tion,however,the GC ratios of the different amplicons were very similar;therefore,the observed discrepancies could not be attributable to this variable.In summary,the hypervariable region targeted by the primer plays a critical role in determining the profile of a largely uncultivated,complex microbial community generated by pyro-sequencing.This effect is significant,with the presence of certain dominant community members being masked and others being under-represented with different primer sets;thereby providing a critical source of error in microbial ecological studies.However, averaging the community fingerprints generated by V1–V3and V7–V9primers provides results similar to Sanger sequencing, while allowing a significantly greater depth of coverage than is possible with Sanger sequencing.It is therefore important to useTable3.Relative abundances of genera in Sanger and concatenated pyrotag datasets.Genus Average abundance(percentage)V1–V3&V4–V6V4–V6&V7–V9V1–V3&V7–V9Sanger V1–V3,V4–V6&V7–V9 Streptococcus11.714.316.217.814.1Eubacterium 2.58.47.3 6.2 6.1Veillonella 1.9 3.811.910.9 5.9Treponema 6.1 4.6 4.8 4.6 5.2Selenomonas 4.2 3.77.28.65Catonella 1.67.6 4.3 5.9 4.5Bacteroides7.8 1.9 2.7 1.3 4.1Fusobacterium 5.4 4.1 1.30.8 3.6Granulicatella 4.1 1.8 4.6 2.2 3.5Parvimonas 1.9 3.4 4.47.1 3.4Dialister 2.4 4.3 3.5 3.2 3.4Prevotella 3.6 4.2 2.1 1.3 3.3Porphyromonas 4.73 1.9 2.1 3.2Campylobacter 4.2 3.6 1.611.8 3.1Gemella 4.7 1.5 2.2 3.6 2.8Unclassified Bacteroidales 4.3 1.90.8 1.9 2.3Synergistes 3.2 2.3 1.2 1.0 2.2Enterococcus0.6 3.2 2.70.0 2.2Neisseria2 2.8 1.30.52Megasphaera 3.2 1.2 1.3 2.3 1.9Capnocytophaga2 1.2 1.9 1.9 1.7Filifactor 1.3 1.9 1.3 2.1 1.5Unclassified Veillonellaceae0.3 2.30.60.2 1.1Leptotrichia 1.40.4 1.30.01Desulfobulbus 2.30.20.10.00.8Lautropia0.60.50.20.00.4Corynebacterium0.40.30.20.00.3Actinomyces0.30.30.30.20.3Atopobium0.30.20.30.50.2Unclassified Clostridiales0.20.20.30.00.2TM7phylum0.20.00.40.00.2Eikenella0.30.10.20.60.2Oribacterium0.00.500.00.2Arthrobacter0.40.00.00.00.1Kingella0.00.30.00.00.1Mycoplasma0.00.00.00.00.0Lactococcus0.00.00.00.00.0Ralstonia0.00.00.00.00.0Solobacterium0.00.00.00.00.0Hemophilus0.00.00.00.00.0Unclassified Lachnospiraceae0.00.00.00.00.0doi:10.1371/journal.pone.0020956.t003primers targeted to these two regions of the16S rRNA gene in all deep-sequencing efforts to characterize heterogeneous microbial communities.Author ContributionsConceived and designed the experiments:PSK.Performed the experi-ments:MRB SED.Analyzed the data:TC PSK MRB.Wrote the paper: PSK MRB.References1.Diaz PI,Chalmers NI,Rickard AH,Kong C,Milburn CL,et al.(2006)Molecular characterization of subject-specific oral microflora during initial colonization of enamel.Appl Environ Microbiol72:2837–2848.2.de Lillo A,Ashley FP,Palmer RM,Munson MA,Kyriacou L,et al.(2006)Novelsubgingival bacterial phylotypes detected using multiple universal polymerase chain reaction primer sets.Oral Microbiol Immunol21:61–68.3.Delima SL,McBride RK,Preshaw PM,Heasman PA,Kumar PS(2010)Response of subgingival bacteria to smoking cessation.J Clin Microbiol48: 2344–2349.4.Gomes SC,Piccinin FB,Oppermann RV,Susin C,Nonnenmacher CI,et al.(2006)Periodontal status in smokers and never-smokers:clinical findings and real-time polymerase chain reaction quantification of putative periodontal pathogens.J Periodontol77:1483–1490.5.Aas JA,Paster BJ,Stokes LN,Olsen I,Dewhirst FE(2005)Defining the normalbacterial flora of the oral cavity.J Clin Microbiol43:5721–5732.6.Hutter G,Schlagenhauf U,Valenza G,Horn M,Burgemeister S,et al.(2003)Molecular analysis of bacteria in periodontitis:evaluation of clone libraries, novel phylotypes and putative pathogens.Microbiology149:67–75.7.Kroes I,Lepp PW,Relman DA(1999)Bacterial diversity within the humansubgingival crevice.Proc Natl Acad Sci U S A96:14547–14552.8.Kumar PS,Griffen AL,Moeschberger ML,Leys EJ(2005)Identification ofcandidate periodontal pathogens and beneficial species by quantitative16S clonal analysis.J Clin Microbiol43:3944–3955.9.Paster BJ,Boches SK,Galvin JL,Ericson RE,Lau CN,et al.(2001)Bacterialdiversity in human subgingival plaque.J Bacteriol183:3770–3783.10.Kunin V,Engelbrektson A,Ochman H,Hugenholtz P.Wrinkles in the rarebiosphere:pyrosequencing errors can lead to artificial inflation of diversity estimates.Environ Microbiol12:118–123.11.Zaura E,Keijser BJ,Huse SM,Crielaard W(2009)Defining the healthy‘‘coremicrobiome’’of oral microbial communities.BMC Microbiol9:259.12.Keijser BJ,Zaura E,Huse SM,van der Vossen JM,Schuren FH,et al.(2008)Pyrosequencing analysis of the oral microflora of healthy adults.J Dent Res87: 1016–1020.13.Li L,Hsiao WW,Nandakumar R,Barbuto SM,Mongodin EF,et al.AnalyzingEndodontic Infections by Deep Coverage Pyrosequencing.J Dent Res.14.Dominguez-Bello MG,Costello EK,Contreras M,Magris M,Hidalgo G,et al.Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns.Proc Natl Acad Sci U S A107: 11971–11975.15.Baker GC,Smith JJ,Cowan DA(2003)Review and re-analysis of domain-specific16S primers.J Microbiol Methods55:541–555.16.Wang Y,Qian PY(2009)Conservative fragments in bacterial16S rRNA genesand primer design for16S ribosomal DNA amplicons in metagenomic studies.PLoS One4:e7401.17.Chakravorty S,Helb D,Burday M,Connell N,Alland D(2007)A detailedanalysis of16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria.J Microbiol Methods69:330–339.18.Nossa CW,Oberdorf WE,Yang L,Aas JA,Paster BJ,et al.rRNA gene primersfor454pyrosequencing of the human foregut microbiome.World J Gastroenterol 16:4135–4144.19.Youssef N,Sheik CS,Krumholz LR,Najar FZ,Roe BA,et al.(2009)Comparison of species richness estimates obtained using nearly complete fragments and simulated pyrosequencing-generated fragments in16S rRNA gene-based environmental surveys.Appl Environ Microbiol75:5227–5236. 20.Claesson MJ,Wang Q,O’Sullivan O,Greene-Diniz R,Cole JR,et al.Comparison of two next-generation sequencing technologies for resolving highly complex microbiota composition using tandem variable16S rRNA gene regions.。

攻读控制专业博士学位的研究计划书

攻读控制专业博士学位的研究计划书

攻读控制专业博士学位的研究计划书英文回答:Research Proposal for a PhD in Control Systems.Introduction:Control systems play a pivotal role in various domains, such as engineering, robotics, and manufacturing. As the complexity of systems continues to escalate, advanced control techniques are becoming increasingly crucial to achieve desired performance and stability. This research proposal outlines a comprehensive plan to investigate novel control methodologies for complex systems.Research Objectives:The primary objectives of this PhD research are:To develop innovative control algorithms for complexsystems characterized by nonlinearities, time delays, and uncertainties.To explore advanced optimization techniques for optimal system performance and robustness.To investigate machine learning and artificial intelligence (AI) approaches to enhance control system intelligence and autonomy.Methodology:To achieve these objectives, the proposed research will adopt a combination of theoretical analysis, numerical simulations, and experimental validation. The following key methodologies will be employed:Nonlinear Control Theory: Design and analysis of nonlinear control algorithms using Lyapunov stability theory, backstepping techniques, and sliding mode control.Optimization: Application of optimization algorithms,such as convex optimization and particle swarm optimization, to determine optimal control parameters.Machine Learning and AI: Integration of machinelearning algorithms, such as deep reinforcement learningand neural networks, to improve control system autonomy and decision-making.Expected Contributions:The anticipated contributions of this research include:Novel and efficient control algorithms for complex systems with improved stability, performance, and robustness.Advanced optimization techniques tailored to the specific requirements of control systems design.Integration of machine learning and AI techniques to enhance control system intelligence and adaptability.Significance and Impact:The proposed research has significant implications for various industries and applications. The developed control methodologies will find applications in fields such as:Robotics: Advanced control algorithms for enhanced motion control and autonomous navigation.Manufacturing: Optimization techniques for improved process control and efficiency.Energy systems: Control strategies for stable and efficient power generation and distribution.Timeline and Milestones:The PhD research will be conducted over a four-year period. Key milestones include:Year 1: Literature review and development of preliminary control algorithms.Year 2: Implementation and numerical simulation of control algorithms.Year 3: Experimental validation and optimization of control parameters.Year 4: Dissertation completion and publication of research findings.Conclusion:This research proposal outlines a comprehensive plan to investigate novel control methodologies for complex systems. The proposed research is expected to make significant contributions to the field of control systems and have a wide-ranging impact on industries and applications.中文回答:控制专业博士学位研究计划书。

复试英语研究方法

复试英语研究方法

复试英语研究方法的探索与实践**Exploration and Practice of Postgraduate English Research Methods****英文内容:**In the realm of postgraduate education, thesignificance of research methods cannot be overstated. English, as a global language, plays a pivotal role in disseminating research findings and facilitating cross-cultural communication. Therefore, the exploration and mastery of English research methods are crucial for postgraduate students seeking to conduct high-quality research.**1. Importance of English in Research**English is the lingua franca of the academic world, with the majority of research articles, books, and journals published in this language. For postgraduate students, proficiency in English not only enables them to access a vast repository of knowledge but also enhances their chances of publishing their research internationally.**2. Key Elements of English Research Methods**English research methods encompass several key elements, including literature review, methodology, data analysis,and writing. A literature review involves synthesizing existing knowledge in a particular field, methodologydetails the research approach and design, data analysis explains how the collected data will be processed and interpreted, and writing refers to the presentation of research findings.**3. Strategies for Mastering English ResearchMethods**To master English research methods, students can adopt several strategies. Firstly, they can engage in regular reading and writing practice to improve their language skills. Reading academic articles and books in Englishhelps familiarize them with the language and terminology used in research. Writing practice, on the other hand, enhances their ability to communicate their research ideas effectively.Secondly, students should familiarize themselves with the structure and format of academic writing in English. This includes understanding the conventions of title pages,abstracts, introductions, literature reviews, methodologies, results, discussions, and conclusions.Thirdly, they can seek guidance and feedback from experienced researchers or academics. Seeking advice from experts in their field can help students refine their research methods and improve their English writing skills.**4. Benefits of Mastering English Research Methods**Mastering English research methods offers numerous benefits to postgraduate students. Firstly, it enables them to conduct research at an international level, increasing their chances of collaborating with researchers fromdiverse backgrounds. Secondly, it enhances their employability prospects, as many employers prefercandidates with strong research and writing skills in English. Lastly, it fosters cultural understanding and appreciation, as students gain exposure to different perspectives and ideas from across the globe.**中文内容:**在研究生教育领域中,研究方法的重要性不言而喻。

英文密立根油滴实验报告

英文密立根油滴实验报告

IntroductionThe Millikan Oil Drop Experiment, conducted by Robert A. Millikan and Harvey Fletcher in 1909, is one of the most significant experiments in the history of physics. It provided empirical evidence for the quantization of electric charge, which was a crucial step in the development of quantum theory. This report aims to describe the experiment, its methodology, results, and the impact it had on the scientific community.Experiment BackgroundThe experiment was designed to measure the charge of an electron. At the time, it was believed that electric charge was continuous, but J.J. Thomson had suggested that it might be quantized. To test this hypothesis, Millikan and Fletcher used tiny droplets of oil, which were exposed to an electric field. By measuring the rate at which the droplets fell and the voltage required to keep them suspended, they hoped to determine the charge on each droplet.Experiment Methodology1. Oil Drop Apparatus: The experiment was conducted using a specially designed oil drop apparatus. It consisted of a glass chamber with two parallel metal plates, an oil jet, and a series of electrodes. The oil droplets were created by forcing oil through a tiny hole at the top of the chamber.2. Creation of Oil Droplets: When the oil was forced through the hole, it was broken up into tiny droplets by the surrounding air. These droplets were then exposed to an electric field between the parallel plates.3. Measurement of Droplet Size: The size of the oil droplets was measured using a microscope. The diameter of the droplets was determined by comparing them to known sizes of oil droplets.4. Measurement of Electric Field: The electric field was created by applying a voltage between the parallel plates. The strength of the electric field was measured using a voltmeter.5. Measurement of Droplet Fall: The rate at which the droplets fell was measured using a timer. The droplets were observed through a microscope, and the time taken for them to fall a certain distance was recorded.6. Determination of Charge: The charge on each droplet was calculated using the following equation:Charge = (Mass of the droplet) × (Gravitational acceleration) × (Voltage required to keep the droplet suspended)ResultsMillikan and Fletcher conducted the experiment with various sizes of oil droplets and different voltages. The results showed that the charge on each droplet was always a multiple of a fundamental unit, which they determined to be the charge of an electron (e = 1.602 × 10^-19 coulombs). Here are some key results from the experiment:1. The charge on the oil droplets was quantized, with each droplet having a charge of an integer multiple of e.2. The experimental value of the electron's charge was found to be1.5924 × 10^-19 coulombs, which was in close agreement with the accepted value of 1.602 × 10^-19 coulombs.3. The experiment confirmed the existence of the electron as a fundamental particle and provided evidence for the quantization of electric charge.Impact on ScienceThe Millikan Oil Drop Experiment had a profound impact on the scientific community. Here are some of the key contributions of the experiment:1. Empirical Evidence for Quantization: The experiment provided empirical evidence for the quantization of electric charge, which was a crucial step in the development of quantum theory.2. Confirmation of the Electron: The experiment confirmed the existence of the electron as a fundamental particle, which was a significant discovery in the field of atomic physics.3. Determination of the Charge of an Electron: The experiment allowedfor the precise determination of the charge of an electron, which has been a fundamental constant in physics.4. Advancement of Experimental Techniques: The development of the oil drop apparatus and the techniques used in the experiment advanced experimental physics and laid the groundwork for future experiments.ConclusionThe Millikan Oil Drop Experiment is a classic example of experimental physics that has had a lasting impact on the field of science. By providing empirical evidence for the quantization of electric charge and confirming the existence of the electron, the experiment has played a crucial role in the development of quantum theory. The meticulous methodology and careful analysis of the data have set a standard for experimental research that continues to influence scientists today.。

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16.6 Methodology and Experimental Verification for Substrate Noise Reduction in CMOS Mixed-Signal ICs with Synchronous Digital CircuitsMustafa Badaroglu1,2, Marc van Heijningen1, Vincent Gravot1, John Compiet1, Stéphane Donnay1,Marc Engels1, Georges Gielen3, Hugo De Man1,31 IMEC, Leuven, Belgium2 Also Ph.D. student at K.U. Leuven, Belgium3 K.U. Leuven, BelgiumSubstrate noise degrades the performance of analog circuits integrated on the same substrate with digital circuits. In these mixed-signal ICs, the low cost and lower static power consumption of CMOS logic are shadowed by the larger noise generation due to the large rail-to-rail voltages and the sharp current spikes during switching. We have designed and measured a mixed-signal chip, fabricated in a 0.35µm CMOS process on an epi-type substrate, which allows us to compare several low-noise digital designs in CMOS.Alternative logic families have been proposed such as current-mode logic [1] or self-timed logic which show orders of magnitude noise reduction, however with increasing static power and delay sensitivity respectively. A few publications exist about low-noise digital CMOS design, e.g. CMOS gates with guard wiring and on-chip decoupling [2], where 67% noise reduction is achieved, but with considerable area penalty due to the additional circuitry and power rails.The test chip (Figure 16.6.1) contains one reference design (REF) and two digital low-noise designs (LN1, LN2) with the same basic architecture, shown in Figure 16.6.2. LN1 employs an optimized clock tree to make the supply current flatter and LN2 employs a separate substrate bias, dual-supply, and on-chip decoupling. REF has an area of 0.362mm2, a maximum speed of 45MHz and a core power consumption of 112mW at 42MHz and 3.3V. It is possible to disable the I/O pads in order to measure the substrate noise generation from the core logic only. In that case the input is generated by an on-chip 10-bit Pseudo Random Binary Sequencer (PRBS). The noise measurements have been performed with an on-chip noise sensor [4], which is a differential amplifier withone input connected to a quiet ground, the other input capacitively coupled to the substrate and with 3 dB amplification from 20kHz to 1GHz.A large part of the substrate noise is due to the ringing of the damped LC-tank, formed by the on-chip capacitance and the package inductance with series resistance on the supply connection [3][4]. For the used 132-pin ceramic PGA package, an average value of 12nH in series with 1.5Ωis measured for one connection. Decreasing the peak and the slope of the supply current will reduce the substrate noise. To achieve this, LN1 employs a clock tree with different latencies, where each latency is computed using the supply current profile statistics generated with our high-level substrate noise analysis tool SWAN, which also gives an accurate estimate of the supply current [5]. The target during the optimization of the latencies is to flatten the supply current over time (Figure 16.6.3). The timing adjustment is done with the use of a low skew (50ps) delay line formed by small inverters.Substrate biasing is important in order to have a non-floating bulk/well region and latchup prevention. Whereas in traditional CMOS cells VSS and substrate are short-circuited, LN2 uses two supply rails, one for the core and the other for substrate contacts in order to prevent direct coupling of the noisy supply currents into the substrate. The RMS value of the substrate noise scales down linearly with reduced supply voltage. Therefore, the core logic is partitioned into two parts: the slow (non-critical path) and fast (critical path) gates with 2.85V and 3.3V supply respectively. Also decoupling cells have been added to the core supply rails. Individual cells have a 42fF MOS gate capacitance in series with a 10kΩ poly resistance in a total area of 96µm2. Figure 16.6.4 shows the supplies and decoupling cells on the model extracted according to the methodology described in [4]. The amount of decoupling is optimized on this model including extracted models for I/O and supply pads.Figure 16.6.5 shows the comparison of the three designs (REF, LN1 and LN2) with the disabled I/O pads: the measured transients (top) of the substrate noise and their corresponding spectrum (bottom). The RMS value of the noise is 33.8mV, 15.8mV and 11.5mV for REF, LN1 and LN2 respectively. The largest substrate noise peaks in the spectrum are 19 dBmV, 13 dBmV and 11 dBmV at the 3rd, 2nd and fundamental clock harmonics for REF, LN1 and LN2 respectively. The frequency shift and the attenuation of the ringing in LN2 are due to on-chip decoupling and the fast/slow supply distribution. The spectral peaks are 35-40 dB above the substrate noise floor at the first four clock harmonics.Clock dependency of substrate noise is shown in Figure 16.6.6. The substrate noise generated by LN1 and LN2 is lower than REF, by a factor of 2 when averaged over clock frequency. Figure 16.6.6 also shows the resonant behavior at some clock frequencies. Two core supply pairs have been used for each design to have the same inductance. Note that LN1 shows less resonance due to the reduced slope of the supply current. On the other hand, a perfect linearity is measured between the dynamic power and the clock frequency.Table 16.6.1 shows an overview of all designs. At the maximum operating frequency of LN1 we demonstrated a factor of 2.14 reduction in the RMS value of generated substrate noise with only 3% area and 4% power penalty in a 5Kgate synchronous CMOS circuit with an optimized clock tree. These penalties decrease significantly in larger designs as this overhead is generated by the cells in the clock tree and set-up/hold-time fixing module. A factor of 2.94 reduction in noise is achieved for the design with a separate substrate bias, dual-supply, and on-chip decoupling, however with a factor of 1.72 increase in area but with 5% less power at the same frequency.References:[1]Allstot, D. J., et al., “Folded source-coupled logic vs. CMOS static logic for low-noise mixed-signalICs,” IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications, vol. 40, no.9, pp.553-563, Sep. 1993.[2]Nagata, M., et al., “Reduced Substrate Noise Digital Design for Improving Embedded AnalogPerformance,” ISSCC Digest of Technical Papers, pp.224-225, Feb. 2000.[3]Mathey, K., et al., “Noise Computation in Single Chip Packages,” IEEE Tr. On Components,Packaging, and Manufacturing Tech., Part B, Vol. 19, No. 2, pp.350-360, May 1996.[4]van Heijningen, M., Badaroglu, M., et al., “Substrate Noise Generation in Complex Digital Systems:Efficient Modeling and Simulation Methodology and Experimental Verification,” ISSCC Digest of Technical Papers, pp.342-343, Feb. 2001.[5]van Heijningen, M., Badaroglu, M., et al., “High-Level simulation of substrate noise generationincluding power supply noise coupling,” Proc. of Design Automation Conference, pp.446-451, June 2000.REFLN1NoiseSensorsAnalogCircuitriesLN2FastcellsDecoupling(fast)Decoupling(slow)SlowcellsFigure 16.6.1: Microphotograph of the test chip and its specifications. The chip consists of a reference design and 2 low-noise designs with the same functionality. It also contains 2 substrate noise sensors. The analog circuits in the lower right are not used in the experiments described in this paper.Figure 16.6.2: Architecture of the digital test circuit (IQ demodulator)Figure 16.6.3: Clock tree network (top) and the supply current (bottom) for the first low-noise design (LN1) at Vdd=3.3V and Fclk=40MHzFAST CORE SUPPLYSLOW CORE SUPPLYSUBSTRATE SUPPLYFigure 16.6.4: Chip-level substrate model for the core cells in the second low noise design (LN2)Figure 16.6.5: Measured substrate noise transients (top) and their spectrum (bottom) at Vdd=3.3V and Fclk=42MHzFigure 16.6.6: Comparison of measured RMS (top) and peak-to-peak (bottom) values of the substrate noise voltages versus clock frequencyFeatures REF LN1LN2Area of the core cells0.362mm20.373mm20.528mm2Area of the decoupling cells N/A N/A0.009mm2 for slow cells0.086mm2 for fast cells Total cell area0.362mm20.373mm20.623 mm2 Functional I/O pads222222Core supply pairs222IO supply pairs111Substrate supply pads N/A N/A1Total number of I/O pads282830Measured maximum clock freq.45 MHz42 MHz45 MHzMeasured power consumption(at 3.3V and 42MHz)112mW118mW107mWMeasured substrate noise (at 3.3V and 42MHz)33.8mVRMS142mVpp15.8mVRMS81mVpp11.5mVRMS69mVppNoise reduction w.r.t. REF(at 3.3V and 42MHz)-x2.14 in RMSx1.75 in PPx2.94 in RMSx2.06 in PPTable 16.6.1: Overview of the reference design and the two low-noise designsList of Figure Captions:Figure 16.6.1: Microphotograph of the test chip and its specifications. The chip consists of a reference design and 2 low-noise designs with the same functionality. It also contains 2 substrate noise sensors. The analog circuits in the lower right are not used in the experiments described in this paper.Figure 16.6.2: Architecture of the digital test circuit (IQ demodulator)Figure 16.6.3: Clock tree network (top) and the supply current (bottom) for the first low-noise design (LN1) at Vdd=3.3V and Fclk=40MHzFigure 16.6.4: Chip-level substrate model for the core cells in the second low noise design (LN2)Figure 16.6.5: Measured substrate noise transients (top) and their spectrum (bottom) at Vdd=3.3V andFclk=42MHzFigure 16.6.6: Comparison of measured RMS (top) and peak-to-peak (bottom) values of the substrate noise voltages versus clock frequencyTable 16.6.1: Overview of the reference design and the two low-noise designs11 of 11。

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