| data science major cmc: Data Science and Machine Learning Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman, 2019-11-20 Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code |
| data science major cmc: The Challenge of CMC Regulatory Compliance for Biopharmaceuticals John Geigert, 2012-12-06 The greater our knowledge increases, the more our ignorance unfolds. U. S. President John F. Kennedy, speech, Rice University, September 12, 1962 My primary purpose for writing this book was much more than to provide another information source on Chemistry, Manufacturing & Controls (CMC) that would rapidly become out of date. My primary purpose was to provide insight and practical suggestions into a common sense business approach to manage the CMC regulatory compliance requirements for biopharmaceuticals. Such a common sense business approach would need (1) to be applicable for all types of biopharmaceutical products both present and future, (2) to address the needs of a biopharmaceutical manufacturer from the beginning to the end of the clinical development stages and including post market approval, and (3) to be adaptable to the constantly changing CMC regulatory compliance requirements and guidance. Trying to accomplish this task was a humbling experience for this author! In Chapter 1, the CMC regulatory process is explained, the breadth of products included under the umbrella ofbiopharmaceuticals are identified, and the track record for the pharmaceutical and biopharmaceutical industry in meeting CMC regulatory compliance is discussed. In Chapter 2, while there are many CMC commonalities between biopharmaceuticals and chemically-synthesized pharmaceuticals, the significant differences in the way the regulatory agencies handle them are examined and the reasons for why such differences are necessary is discussed. Also, the importance of CMC FDA is stressed. |
| data science major cmc: Hands-On Data Science and Python Machine Learning Frank Kane, 2017-07-31 This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time. |
| data science major cmc: Biology and the Physical Sciences Samuel Devons, 1969 |
| data science major cmc: The Challenge of CMC Regulatory Compliance for Biopharmaceuticals John Geigert, 2019-05-08 Biopharmaceuticals (i.e., biological medicines sourced from genetically-engineered living systems) for treatment of human diseases have become a significant percentage of the pharmaceutical industry. And not just the recombinant DNA-derived proteins and monoclonal antibodies (both from the innovators and biosimilars); but now, an increasing awareness of the importance of gene therapy and genetically engineered cellular medicinal products. These biopharmaceuticals are being developed by many companies whose Chemistry, Manufacturing & Control (CMC) teams have varying degrees of familiarity or experience with the CMC strategy and regulatory compliance requirements for these challenging products. Companies clearly plan out the strategy for their clinical study plans, but frequently, the development of a strategy for CMC is an afterthought. Coupled with the complexity of the biopharmaceutical manufacturing processes and products, and this can be a recipe for disaster. The third edition of this book provides insights and practical guidance for the CMC teams to develop an acceptable cost-effective, risk-based CMC regulatory compliance strategy for all biopharmaceuticals (recombinant proteins, monoclonal antibodies, genetically engineered viruses and genetically engineered human cells) from early clinical stage development through market approval. The third edition of this book provides added coverage for the biosimilars, antibody drug conjugates (ADCs), bispecific antibodies, genetically engineered viruses, and genetically engineered cells. This third edition of the book also addresses the heightened pressure on CMC regulatory compliance timelines due to the introduction of expedited clinical pathways moving the clinical development closer to a seamless phase process (e.g., FDA Breakthrough Therapy designation, CBER Regenerative Medicine Advanced Therapy (RMAT) designation, EMA Priority Medicines (PRIME) designation). The Challenge of CMC Regulatory Compliance for Biopharmaceuticals is essential, practical information for all pharmaceutical development scientists, Manufacturing and Quality Unit staff, Regulatory Affairs personnel, and senior management involved in the manufacture of biopharmaceuticals. |
| data science major cmc: The Best Value Colleges, 13th Edition The Princeton Review, Robert Franek, 2020-02-04 Now in a new, more user-friendly package, this 13th edition of The Princeton Review's THE BEST VALUE COLLEGES provides readers with the guidance they need to make smart choices about how they spend their tuition dollars! College is a major financial investment ... and one that too many students enter into blindly. The Princeton Review eases that uncertainty with this guide to colleges and universities where students get the best return on their tuition investment. These 75 schools—plus an expanded list with 125 more online—offer generous financial aid, excellent academics, and valuable career-building experiences for a successful post-college outcome. THE BEST VALUE COLLEGES INCLUDES: • Profiles of our 75 top-value picks—schools that offer fantastic value, chosen based on 40+ data points, including academics, cost of attendance, financial aid, and post-grad salary figures • Online access to the full profiles for an additional 125 high value schools • Lists covering schools with the Best Alumni Network, Best Career Placement, Top Financial Aid, and more • Starting and mid-career salary information for graduates of each school • Percentages of alumni who report having meaningful jobs, and who majored in science/technology/engineering/math (STEM) fields • And much more! |
| data science major cmc: Trends in Colloid and Interface Science XVI Maria da Graca Miguel, Hugh D. Burrow, 2004-06-16 This volume contains a peer reviewed selection of the papers presented at the highly successful fifteenth meeting of the European Colloid and Interface Society which was held in Coimbra, Portugal in September 2001 and highlights some of the important advances in this area. The topics covered include Self Assembly in Mixed Systems, Surface Modification, Biological and Biomimetic Systems, Theory and Modelling, New Techniques and Developments, Food and Pharmaceuticals, Dynamics at Interfaces and Mesoscopic and Mesoporous Systems. The volume is of interest to both academic and industrial scientists working with colloidal and interfacial systems in chemistry, physics and biology. |
| data science major cmc: Handbook of Polymers George Wypych, 2022-03-19 Handbook of Polymers, Third Edition represents an update on available data, including new values for many commercially available products, verification of existing data, and removal of older data where it is no longer useful. Polymers selected for this edition include all primary polymeric materials used by the plastics and chemical industries and specialty polymers used in the electronics, pharmaceutical, medical and aerospace fields, with extensive information also provided on biopolymers. The book includes data on all polymeric materials used by the plastics industry and branches of the chemical industry, as well as specialty polymers in the electronics, pharmaceutical, medical and space fields. The entire scope of the data is divided into sections to make data comparison and search easy, including synthesis, physical, mechanical, and rheological properties, chemical resistance, toxicity, environmental impact, and more. - Provides key data on all primary polymeric materials used in a wide range of industries and applications - Presents easy-to-access data divided into sections, making comparisons and search simple and intuitive - Includes data on general properties, history, synthesis, structure, physical properties, mechanical properties, chemical resistance, flammability, weather stability, toxicity, and more |
| data science major cmc: The Art and Science of Physiologically-Based Pharmacokinetics Modeling Rodrigo Cristofoletti, Amin Rostami-Hodjegan, 2024-07-15 This state-of-the-art text describes the science behind the system and drug-dependent components of PBPK models, its applications in translational and regulatory science, e.g., guiding drug discovery and development, and supporting precision medicine initiatives. To incorporate state-of-the-art knowledge, each chapter is written by leaders in the field and illustrated by clear case studies. Connecting basic and applied science, this book explores the potential of PBPK modeling for improving therapeutics and is designed for a wide audience encompassing graduate students as well as biopharmaceutics scientists and clinical pharmacologists. Features: 1. Provides a basic understanding of the physiologically-based pharmacokinetic modeling and its applications 2. Assists the reader in understanding product performance to allow for rapid product development and establish bioequivalence 3. Well-constructed content and added value of real examples 4. Illustrates how using available resources via modeling and simulation leads to a reduction in the costs related to drug development, which directly affects the costs to patients |
| data science major cmc: Army ROTC Scholarship Program , 1971 |
| data science major cmc: Women and Leadership Lisa DeFrank-Cole, Sherylle J. Tan, 2021-01-13 Recipient of a 2022 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) While women in the United States account for nearly half the workforce, they continue to encounter unique personal, social, and structural dynamics as leaders. Authors Lisa DeFrank Cole and Sherylle J. Tan explore these dynamics and more in Women and Leadership: Journey Towards Equity. Grounded in leadership theory and research, this text delves into the barriers and challenges women face on their leadership journeys, including stereotypes, bias, inequality, discrimination, and domestic responsibilities. The text includes several chapters devoted to strategies and tools for overcoming obstacles, creating structural change, and moving towards greater equity. |
| data science major cmc: Beyond Addiction Jeffrey Foote, Carrie Wilkens, Nicole Kosanke, Stephanie Higgs, 2014-02-18 The most innovative leaders in progressive addiction treatment in the US offer a groundbreaking, science-based guide to helping loved ones overcome addiction problems and compulsive behaviors. The most innovative leaders in progressive addiction treatment in the US offer a groundbreaking, science-based guide to helping loved ones overcome addiction problems and compulsive behaviors. Beyond Addiction eschews the theatrics of interventions and tough love to show family and friends how they can use kindness, positive reinforcement, and motivational and behavioral strategies to help their loved ones change. Drawing on forty collective years of research and decades of clinical experience, the authors present the best practical advice science has to offer. Delivered with warmth, optimism, and humor, Beyond Addiction defines a new, empowered role for friends and family and a paradigm shift for the field. Learn how to tap the transformative power of relationships for positive change, guided by exercises and examples. Practice what really works in therapy and in everyday life, and discover many different treatment options along with tips for navigating the system. And have hope: this guide is designed not only to help someone change, but to help someone want to change. |
| data science major cmc: Sites of Genocide Adam Jones, 2022-05-17 Genocide may be the most powerful word in the English language. What is the significance and relevance of this formative concept today? In an extraordinarily wide-ranging collection of essays and interviews, Adam Jones, one of the world's leading genocide scholars, explores the uses and controversies surrounding the term that Raphael Lemkin coined during the Second World War to describe and prohibit mass atrocities against defined human groups. In a style that is learned but always accessible and engaging, Jones addresses key historical and contemporary issues, such as: What were the motivations and proclaimed justifications for genocide in the long nineteenth century that shaped our modern world? How can humanitarian interventions in genocide avoid sliding into new imperialism? What are the connections between religion and genocide? How can the gender variable in genocide perpetration and victimization be understood? A wide range of historical and contemporary genocides and crimes against humanity, from the eighteenth-century slave rebellion in Haiti to Myanmar's destruction of the Rohingya, and to the forms of structural and systemic violence that Jones argues should be encompassed by any global-historical understanding of genocide. Sites of Genocide is illustrated with photos from Jones's own collection and other sources. It will be of interest to all students and scholars of human rights and for general readers seeking a point of entry to the rich and provocative debates in comparative genocide studies. |
| data science major cmc: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs. |
| data science major cmc: Trends in Colloid and Interface Science XXIV Victor Starov, Karel Procházka, 2011-05-24 This volume includes 35 contributions to the 24th Conference of the European Colloid and Interface Society which took place in September 2010 in Prague. The contributions from leading scientists cover a broad spectrum of the following topics: • Self-assembling, Stimuli-responsive and Hierarchically Organized Systems • Colloid, Polymer and Polyelectrolyte Solutions; Concentrated Systems and Gels • Thin Films, Interfaces and Surfaces; Wetting Phenomena • Novel Nano-to-Mesostructured Functional Materials • Biologically Important and Bioinspired Systems; Pharmaceutical and Medical Applications |
| data science major cmc: College Admissions Data Sourcebook Northeast Edition Bound 2010-11 , 2010-09 |
| data science major cmc: Surfactant Science and Technology Drew Myers, 2020-06-16 A solid introduction to the field of surfactant science, this new edition provides updated information about surfactant uses, structures, and preparation, as well as seven new chapters expanding on technology applications. Offers a comprehensive introduction and reference of the science and technology of surface active materials Elaborates, more fully than prior editions, aspects of surfactant crystal structure as well as their effects on applications Adds more information on new classes and applications of natural surfactants in light of environmental consequences of surfactant use |
| data science major cmc: Handbook of Research on Discourse Behavior and Digital Communication: Language Structures and Social Interaction Taiwo, Rotimi, 2010-05-31 A compendium of over 50 scholarly works on discourse behavior in digital communication. |
| data science major cmc: Lifelong Machine Learning, Second Edition Zhiyuan Sun, Bing Leno da Silva, 2022-06-01 Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields. |
| data science major cmc: Trends in Colloid and Interface Science European Colloid and Interface Society. Conference, 2001 |
| data science major cmc: Quantities, Units and Symbols in Physical Chemistry International Union of Pure and Applied Chemistry. Physical and Biophysical Chemistry Division, 2007 Prepared by the IUPAC Physical Chemistry Division this definitive manual, now in its third edition, is designed to improve the exchange of scientific information among the readers in different disciplines and across different nations. This book has been systematically brought up to date and new sections added to reflect the increasing volume of scientific literature and terminology and expressions being used. The Third Edition reflects the experience of the contributors with the previous editions and the comments and feedback have been integrated into this essential resource. This edition has been compiled in machine-readable form and will be available online. |
| data science major cmc: Trump's Democrats Stephanie Muravchik, Jon A. Shields, 2020-09-29 Why did hundreds of Democratic strongholds break for Donald Trump in 2016 and stay loyal to him in 2020? Looking for answers, Muravchik and Shields lived in three such “flipped” communities. There they discovered a political culture that was Trumpy long before the 45th president arrived on the national political scene. In these places, dominated by the white working-class, some of the most beloved and longest-serving Democratic leaders are themselves Trumpian—grandiose, combative, thin-skinned, and nepotistic. Indifferent to ideology, they promise to take care of “their people” by cutting deals—and corners if needed. Stressing loyalty, they often turn to family to fill critical political roles. Trump, resembling these old-style Democratic bosses, strikes a familiar and appealing figure in these communities. Although voters in “flipped” communities have often been portrayed as white supremacists, Muravchik and Shields find that their primary political allegiances are to place—not race. They will spend an extra dollar to patronize local businesses, and they think local jobs should go to their neighbors, not “foreigners” from neighboring counties—who are just as likely to be white and native-born. Unlike the Proud Boys, they take more pride in their local communities than in their skin color. Trump successfully courted these Democrats by promising to revitalize their struggling hometowns. Because these communities largely stuck with Trump in 2020, Biden won the presidency by just the thinnest of margins. Whether they will continue to support a Republican Party without Trump—or swing back to the Democrats—depends in part on which party can satisfy these locally grown political tastes and values. The party that does that will enjoy a stranglehold in national elections for years to come. |
| data science major cmc: Statistics for Biotechnology Process Development Todd Coffey, Harry Yang, 2018-05-16 Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of how to perform statistics in modern software, it is the first book on CMC statistics written primarily for practitioners. While statisticians will also benefit from this book, it is written particularly for industry professionals who don’t have access to a CMC statistician or who want to be more independent in the design and analysis of their experiments. Provides an introduction to the statistical concepts important in the biotechnology industry Focuses on concepts with theoretical details kept to a minimum Includes lots of real examples and case studies to illustrate the methods Uses JMP software for implementation of the methods Offers a text suitable for scientists in the industry with some quantitative training Written and edited by seasoned veterans of the biotechnology industry, this book will prove useful to a wide variety of biotechnology professionals. The book brings together individual chapters that showcase the use of statistics in the most salient areas of CMC. |
| data science major cmc: Data Management, Analytics and Innovation Neha Sharma, Amlan Chakrabarti, Valentina Emilia Balas, Jan Martinovic, 2020-08-18 This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. Gathering peer-reviewed research papers presented at the Fourth International Conference on Data Management, Analytics and Innovation (ICDMAI 2020), held on 17–19 January 2020 at the United Services Institute (USI), New Delhi, India, it addresses cutting-edge topics and discusses challenges and solutions for future development. Featuring original, unpublished contributions by respected experts from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. |
| data science major cmc: Proceedings of the 1986 Academy of Marketing Science (AMS) Annual Conference Naresh K. Malhotra, Jon M. Hawes, 2014-11-18 Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science. This volume includes the full proceedings from the 1986 Academy of Marketing Science (AMS) Annual Conference held in Anaheim, California. |
| data science major cmc: Computerworld , 1982-01-18 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network. |
| data science major cmc: NASA Space Flight Program and Project Management Handbook Nasa, 2018-03-21 This book is in full-color - other editions may be in grayscale (non-color). The hardback version is ISBN 9781680920512 and the paperback version is ISBN 9781680920505. The NASA Space Flight Program and Project Management Handbook (NASA/SP-2014-3705) is the companion document to NPR 7120.5E and represents the accumulation of knowledge NASA gleaned on managing program and projects coming out of NASA's human, robotic, and scientific missions of the last decade. At the end of the historic Shuttle program, the United States entered a new era that includes commercial missions to low-earth orbit as well as new multi-national exploration missions deeper into space. This handbook is a codification of the corporate knowledge for existing and future NASA space flight programs and projects. These practices have evolved as a function of NASA's core values on safety, integrity, team work, and excellence, and may also prove a resource for other agencies, the private sector, and academia. The knowledge gained from the victories and defeats of that era, including the checks and balances and initiatives to better control cost and risk, provides a foundation to launch us into an exciting and healthy space program of the future. |
| data science major cmc: Why Nations Fail Daron Acemoglu, James A. Robinson, 2013-09-17 Brilliant and engagingly written, Why Nations Fail answers the question that has stumped the experts for centuries: Why are some nations rich and others poor, divided by wealth and poverty, health and sickness, food and famine? Is it culture, the weather, geography? Perhaps ignorance of what the right policies are? Simply, no. None of these factors is either definitive or destiny. Otherwise, how to explain why Botswana has become one of the fastest growing countries in the world, while other African nations, such as Zimbabwe, the Congo, and Sierra Leone, are mired in poverty and violence? Daron Acemoglu and James Robinson conclusively show that it is man-made political and economic institutions that underlie economic success (or lack of it). Korea, to take just one of their fascinating examples, is a remarkably homogeneous nation, yet the people of North Korea are among the poorest on earth while their brothers and sisters in South Korea are among the richest. The south forged a society that created incentives, rewarded innovation, and allowed everyone to participate in economic opportunities. The economic success thus spurred was sustained because the government became accountable and responsive to citizens and the great mass of people. Sadly, the people of the north have endured decades of famine, political repression, and very different economic institutions—with no end in sight. The differences between the Koreas is due to the politics that created these completely different institutional trajectories. Based on fifteen years of original research Acemoglu and Robinson marshall extraordinary historical evidence from the Roman Empire, the Mayan city-states, medieval Venice, the Soviet Union, Latin America, England, Europe, the United States, and Africa to build a new theory of political economy with great relevance for the big questions of today, including: - China has built an authoritarian growth machine. Will it continue to grow at such high speed and overwhelm the West? - Are America’s best days behind it? Are we moving from a virtuous circle in which efforts by elites to aggrandize power are resisted to a vicious one that enriches and empowers a small minority? - What is the most effective way to help move billions of people from the rut of poverty to prosperity? More philanthropy from the wealthy nations of the West? Or learning the hard-won lessons of Acemoglu and Robinson’s breakthrough ideas on the interplay between inclusive political and economic institutions? Why Nations Fail will change the way you look at—and understand—the world. |
| data science major cmc: Drug-like Properties: Concepts, Structure Design and Methods Li Di, Edward H Kerns, 2010-07-26 Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties. - Serves as an essential working handbook aimed at scientists and students in medicinal chemistry - Provides practical, step-by-step guidance on property fundamentals, effects, structure-property relationships, and structure modification strategies - Discusses improvements in pharmacokinetics from a practical chemist's standpoint |
| data science major cmc: Statistical Rethinking Richard McElreath, 2018-01-03 Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas. |
| data science major cmc: Department of Defense Dictionary of Military and Associated Terms United States. Joint Chiefs of Staff, 1979 |
| data science major cmc: Dark Web Hsinchun Chen, 2011-12-17 The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect ALL web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy. |
| data science major cmc: Marine Debris James M. Coe, Donald Rogers, 2012-12-06 Marine debris is a global pollution problem affecting marine life, maritime commerce and environmental quality. Scientists, policymakers and the public must be knowledgeable about the source, impact and control efforts if effective solutions are to be developed. Marine Debris addresses the origin of persistent solid waste in the ocean, from urban and rural discharges to waste from ships and the recreational use of oceans. The book identifies key issues from biological, technological, economic and legal perspectives, and gives a framework for controlling each of the main sources of marine debris. |
| data science major cmc: Tao of Soldiering Nihar Kuanr, 2020-03-30 Soldiering is all about the growth and development of human potential in the military organization. The approach to soldiering in China is apparently distinct as compared to Indian or Western military and the shaping of soldiery in China has taken a very unique and somewhat enigmatic course. In the context of PLA, in the ongoing reform era, a clear shift in the approach to HRM is apparent. One of the most important objectives of the ongoing reforms and restructuring of PLA is to appreciably augment its potential and efficiency for the effective prosecution of Integrated Joint operations (IJO) for winning Local Wars under Informationised Condition (LWUIC). This book attempt has been made to take a holistic look at soldiering and development of human potential in PLA thus progressing understanding in the broadly interpreted field of HRM in the context of the Chinese military. The author argues that PLA has been adopting a very systematic, methodical and focussed approach towards identifying the key issues and addressing them in a time-bound manner to enhance the quality of its personnel to include the enlisted personnel, NCOs, officers, and higher leadership. However, success or failure of HR policies depends as much on several tangible factors(educational qualification, technological prowess, economic and social background), as on various intangible aspects (influence of culture, belief system, traditional practices, political and ideological factors impinging on the morale, motivation and value system). The book would enable interested readers to comprehend and grasp the nuances of the development of human potential in the military in general and PLA in specific. Various HRD themes like organizational culture, leadership, efficient decision making, etc. analyzed in the book can find application in general context as well. |
| data science major cmc: NASA Tech Briefs , 2004 |
| data science major cmc: Convergence of Deep Learning and Internet of Things: Computing and Technology Kavitha, T., Senbagavalli, G., Koundal, Deepika, Guo, Yanhui, Jain, Deepak, 2022-12-19 Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians. |
| data science major cmc: Advanced Methods in Protein Microsequence Analysis Brigitte Wittmann-Liebold, Johann Salnikow, 2012-12-06 Much of the recent spectacular progress in the biological sciences can be at tributed ot the ability to isolate, analyze, and structurally characterize proteins and peptides which are present in cells and cellular organelles in only very small amounts. Recent advances in protein chemistry and in particular the application of new micromethods have led to fruitful advances in the understanding of basic cellular processes. Areas where protein-chemical studies have resulted in interest ing discoveries include the peptide hormones and their release factors, growth factors and oncogenes, bioenergetics, proton pumps and ion pumps and chan nels, topogenesis and protein secretion, molecular virology and immunology, membrane protein analysis, and receptor research. In fact, the key methods are now on hand to unravel many of the major outstanding problems of molecular biology and in particular questions of fundamental interest which relate to devel opmental biology and specificity in cell-cell interaction. In this volume we have assembled descriptions of procedures which have re cently been shown to be efficaceous for the isolation, purification, and chemical characterization of proteins and peptides that are only available in minute amounts. Emphasis is placed on well-established micromethods which have been tested and found useful in many laboratories by experienced investigators. The chapters are written by specialists, and describe a range of sensitive techniques which can be used by researchers working in laboratories with only modest resources and equipment. |
| data science major cmc: Artificial Intelligence and Security Xingming Sun, Zhaoqing Pan, Elisa Bertino, 2019-07-18 The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity. |
| data science major cmc: Health Promotion Throughout the Lifespan Carole Edelman, Carol Lynn Mandle, 2002 This comprehensive textbook covers all the major concepts of health promotion and disease prevention for all population groups including individuals, families, and communities. Its lifespan approach focuses on health promotion for all age groups. An assessment franework based on Gordon's Functional Health Patterns provides consistent presentation and an approach that promotes health. Current, timely, and readable, the 5th edition includes numerous special features that highlight critical information and help students apply concepts to practice. |
| data science major cmc: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing Dominik Ślęzak, 2005 This volume contains the papers selected for presentation at the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
