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data management - applications - d427: Metagenomics: Techniques, Applications, Challenges and Opportunities Reena Singh Chopra, Chirag Chopra, Neeta Raj Sharma, 2020-09-08 This book summarizes the various areas of research in metagenomics and their potential applications in medicine, the environment and biotechnology. The book presents the recent advances in theoretical, methodological and applied aspects of metagenomics and highlights their applications in the fields of environmental microbial forensics, bioremediation, drug-discovery and agriculture. In addition, the book discusses various metagenomics approaches used for understanding the microbial physiology and biochemistry. Lastly the book describes a range of bioinformatics tools and computational methods for metagenomics analysis as well as the functional diversity and dynamics of microbial communities colonizing the human skin. |
data management - applications - d427: Reverse Stress Testing in Banking Michael Eichhorn, Tiziano Bellini, Daniel Mayenberger, 2021-05-10 Reverse stress testing was introduced in risk management as a regulatory tool for financial institutions more than a decade ago. The recent Covid-19 crisis illustrates its relevance and highlights the need for a systematic re-thinking of tail risks in the banking sector. This book addresses the need for practical guidance describing the entire reverse stress testing process. Reverse Stress Testing in Banking features contributions from a diverse range of established practitioners and academics. Organized in six parts, the book presents a series of contributions providing an in-depth understanding of: Regulatory requirements and ways to address them Quantitative and qualitative approaches to apply reverse stress testing at different levels – from investment portfolios and individual banks to the entire banking system The use of artificial intelligence, machine learning and quantum computing to gain insights into and address banks’ structural weaknesses Opportunities to co-integrate reverse stress testing with recovery and resolution planning Governance and processes for board members and C-suite executives Readers will benefit from the case studies, use cases from practitioners, discussion questions, recommendations and innovative practices provided in this insightful and pioneering book. |
data management - applications - d427: Team Topologies Matthew Skelton, Manuel Pais, 2019-09-17 Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization. |
data management - applications - d427: Appeals from the Bureau of Land Management United States Department of the Interior. Office of the Solicitor, 1968 |
data management - applications - d427: FUNDAMENTALS OF COMPUTER NARAYAN CHANGDER, 2023-04-08 THE FUNDAMENTALS OF COMPUTER MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE FUNDAMENTALS OF COMPUTER MCQ TO EXPAND YOUR FUNDAMENTALS OF COMPUTER KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
data management - applications - d427: Decision Support Systems for Business Intelligence Vicki L. Sauter, 2014-08-21 Praise for the First Edition This is the most usable decision support systems text. [i]t is far better than any other text in the field —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology. |
data management - applications - d427: Merger and Acquisition Sourcebook Walter Jurek, 2006 |
data management - applications - d427: Accelerated Pavement Testing Athar Saeed, National Cooperative Highway Research Program, 2003 |
data management - applications - d427: HUMAN-COMPUTER INTERACTION NARAYAN CHANGDER, 2024-03-10 THE HUMAN-COMPUTER INTERACTION MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE HUMAN-COMPUTER INTERACTION MCQ TO EXPAND YOUR HUMAN-COMPUTER INTERACTION KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
data management - applications - d427: New Publications , 1985 |
data management - applications - d427: Directory of United Nations Databases and Information Systems , 1990 |
data management - applications - d427: The Strategic Mind of a Young Legend Amara Leggett, 2018-10-22 A life story by a high school and college graduate at 16 years old.We are living a future we have always dreamed of. When you leverage the resources that already exist in your environment, you have access to success. Amara Leggett is an entrepreneur, blogger, and motivational speaker. This is her journey from starting her business at 16 years old. As a TEDx Speaker, she shares steps that anyone can take to make the impossible possible. A story of trials and tribulations that led to success all before she turned 18 years old. Amara is a role model defying the stereotypes set before she was born, that only propelled her motivation to succeed in higher education as well as business. She is the perfect example of someone who started from nothing but with a great mentor that happened to also be her mother and the appropriate resources to ignite her passion for advocacy. She travels the country speaking to corporations, organizations, schools, and universities about how to achieve what may seem beyond the bounds of possibility. Everyone has the potential for greatness whether you change the world or mentor someone who does. The Strategic Mind of A Young Legend can guide you through how to build a successful brand by starting from nothing. |
data management - applications - d427: Field Methods for Geologists and Hydrogeologists Fakhry A. Assaad, James W. LaMoreaux, Travis Hughes, 2013-03-09 From the reviews: ...is a must for serious field novices, and for seasoned middle-career and senior practitioners in hydrogeology, mainly those people who answer a calling to offer honest and accurate hydrogeological approximations and findings. Any engineering geologist or groundwater geologist who claims capability as a Hydrogeologist should own this book and submit it to highlighting and page tabbing. Of course, the same goes for those who practice in karst terranes, as author LaMoreaux is one of the pioneers in this field, worldwide... (Allen W. Hatheway) |
data management - applications - d427: Regime Interaction in International Law Margaret A. Young, 2012-01-12 This major extension of existing scholarship on the fragmentation of international law utilises the concept of 'regimes' from international law and international relations literature to define functional areas such as human rights or trade law. Responding to existing approaches, which focus on the resolution of conflicting norms between regimes, it contains a variety of critical, sociological and doctrinal perspectives on regime interaction. Leading international law scholars and practitioners reflect on how, in situations of diversity and concurrent activity, such interaction shapes and controls knowledge and norms in often hegemonic ways. The contributors draw on topical examples of interacting regimes, including climate, trade and investment regimes, to argue for new methods of regime interaction. Together, the essays combine approaches from international, transnational and comparative constitutional law to provide important insights into an issue that continues to challenge international legal theory and practice. |
data management - applications - d427: Comprehensive Foodomics , 2020-11-12 Comprehensive Foodomics, Three Volume Set offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics and related technologies, including the latest advances and applications. By bringing all this information together in an easily navigable reference, food scientists and nutritionists in both academia and industry will find it the perfect, modern day compendium for frequent reference. List of sections and Section Editors: Genomics - Olivia McAuliffe, Dept of Food Biosciences, Moorepark, Fermoy, Co. Cork, Ireland Epigenetics & Noncoding RNA - Juan Cui, Department of Computer Science & Engineering, University of Nebraska-Lincoln, Lincoln, NE Transcriptomics - Robert Henry, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Australia Proteomics - Jens Brockmeyer, Institute of Biochemistry and Technical Biochemistry, University Stuttgart, Germany Metabolomics - Philippe Schmitt-Kopplin, Research Unit Analytical BioGeoChemistry, Neuherberg, Germany Omics data treatment, System Biology and Foodomics - Carlos Leon Canseco, Visiting Professor, Biomedical Engineering, Universidad Carlos III de Madrid Green Foodomics - Elena Ibanez, Foodomics Lab, CIAL, CSIC, Madrid, Spain Food safety and Foodomics - Djuro Josic, Professor Medicine (Research) Warren Alpert Medical School, Brown University, Providence, RI, USA & Sandra Kraljevic Pavelic, University of Rijeka, Department of Biotechnology, Rijeka, Croatia Food Quality, Traceability and Foodomics - Daniel Cozzolino, Centre for Nutrition and Food Sciences, The University of Queensland, Queensland, Australia Food Bioactivity, Health and Foodomics - Miguel Herrero, Department of Bioactivity and Food Analysis, Foodomics Lab, CIAL, CSIC, Madrid, Spain Brings all relevant foodomics information together in one place, offering readers a ‘one-stop,’ comprehensive resource for access to a wealth of information Includes articles written by academics and practitioners from various fields and regions Provides an ideal resource for students, researchers and professionals who need to find relevant information quickly and easily Includes content from high quality authors from across the globe |
data management - applications - d427: Making Monitoring and Evaluation Systems Work Marelize G ergens, Jody Zall Kusek, 2010-03-01 This manual explains the skills and steps for making a monitoring and evaluation system that functions well, organizing the people, processes and partnershipsso that they collect and use good information that can be used by decision makers and other stakeholders. |
data management - applications - d427: Overview of the Privacy Act of 1974 United States. Department of Justice. Privacy and Civil Liberties Office, 2010 The Overview of the Privacy Act of 1974, prepared by the Department of Justice's Office of Privacy and Civil Liberties (OPCL), is a discussion of the Privacy Act's disclosure prohibition, its access and amendment provisions, and its agency recordkeeping requirements. Tracking the provisions of the Act itself, the Overview provides reference to, and legal analysis of, court decisions interpreting the Act's provisions. |
data management - applications - d427: Catkins in July Alicia S. Tacoronte, 2021-04-26 Manage. Not conquer, not cure, just live with. In Catkins in July, Sarah, a shy homebody dedicated to her profession, and Cal, an energetic partier with a knack for finding friends, have just moved seven hours away from home to start their new life in the exciting city of Boston. Having secured a position as an HR Executive Assistant, Sarah is hopeful that the move will offer her a fresh start and a clear mind. It doesn't take long for Sarah and Cal to find themselves struggling to cope with their different lifestyles and personalities. Depressed and tired of the constant arguing, Sarah makes the difficult decision to seek therapy, only to be met with yet another harsh reality: a bipolar diagnosis. Is it possible that Sarah could be both the hero and the villain in her own story? And-more importantly-can she learn to accept and love herself for it? |
data management - applications - d427: Black Hat Python, 2nd Edition Justin Seitz, Tim Arnold, 2021-04-13 Fully-updated for Python 3, the second edition of this worldwide bestseller (over 100,000 copies sold) explores the stealthier side of programming and brings you all new strategies for your hacking projects. When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. In Black Hat Python, 2nd Edition, you’ll explore the darker side of Python’s capabilities—writing network sniffers, stealing email credentials, brute forcing directories, crafting mutation fuzzers, infecting virtual machines, creating stealthy trojans, and more. The second edition of this bestselling hacking book contains code updated for the latest version of Python 3, as well as new techniques that reflect current industry best practices. You’ll also find expanded explanations of Python libraries such as ctypes, struct, lxml, and BeautifulSoup, and dig deeper into strategies, from splitting bytes to leveraging computer-vision libraries, that you can apply to future hacking projects. You’ll learn how to: • Create a trojan command-and-control using GitHub • Detect sandboxing and automate common malware tasks, like keylogging and screenshotting • Escalate Windows privileges with creative process control • Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine • Extend the popular Burp Suite web-hacking tool • Abuse Windows COM automation to perform a man-in-the-browser attack • Exfiltrate data from a network most sneakily When it comes to offensive security, your ability to create powerful tools on the fly is indispensable. Learn how with the second edition of Black Hat Python. New to this edition: All Python code has been updated to cover Python 3 and includes updated libraries used in current Python applications. Additionally, there are more in-depth explanations of the code and the programming techniques have been updated to current, common tactics. Examples of new material that you'll learn include how to sniff network traffic, evade anti-virus software, brute-force web applications, and set up a command-and-control (C2) system using GitHub. |
data management - applications - d427: Genomics of Pathogens and Vectors Tulio de Lima Campos, Gabriel Luz Wallau , Augusto Simoes-Barbosa, 2024-09-27 We are delighted to announce a thematic issue focused on the molecular epidemiology of pathogens and vectors of disease. In the last decades, genomics has revolutionized many areas of science, technology, and health by enlightening our understanding of the intricate molecular biology of pathogens and vectors. Despite these advances viral, bacterial, fungal, and parasitic pathogens still cause huge economic and health losses around the world. Moreover, there is compelling evidence of an expansion of their impact linked to global warming, anthropogenic activities and/or limitations in control strategies. Vectored pathogens are also highly relevant, causing diseases with severe morbidity and mortality such as malaria, dengue fever and schistosomiasis. The expanding geographical reach of vectors due to adaptation and/or climate change is leading to outbreaks in previously unaffected areas. Substantial challenges remain to track and trace pathogens and vectors through molecular signatures in order to understand their impact to human and animal health in different environments. |
data management - applications - d427: Selected Water Resources Abstracts , 1991 |
data management - applications - d427: Moody's OTC Industrial News Reports , 1992-06 |
data management - applications - d427: Geoinformatics A. Krishna Sinha, 2006-01-01 The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics.--Publisher's website. |
data management - applications - d427: Virus Discovery by Metagenomics: The (Im)possibilities Bas E. Dutilh, Alejandro Reyes, Richard J. Hall, Katrine L. Whiteson, 2017-10-25 Since the late 1800s, the discovery of new viruses was a gradual process. Viruses were described one by one using a suite of techniques such as (electron) microscopy and viral culture. Investigators were usually interested in a disease state within an organism, and expeditions in viral ecology were rare. The advent of metagenomics using high-throughput sequencing has revolutionized not only the rate of virus discovery, but also the nature of the discoveries. For example, the viral ecology and etiology of many human diseases are being characterized, non-pathogenic viral commensals are ubiquitous, and the description of environmental viromes is making progress. This Frontiers in Virology Research Topic showcases how metagenomic and bioinformatic approaches have been combined to discover, classify and characterize novel viruses. |
data management - applications - d427: Proceedings of the 1990 Annual Health Care Information and Management Systems Conference , 1989 |
data management - applications - d427: Data Analysis Fundamentals Certificate AICPA, 2020-03-31 The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. This certificate is Part 1 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. The Data Analysis Fundamentals Certificate begins with a foundational understanding of the need of transformational assets within an organization and explains the importance of intelligent data management and corresponding analytics practice. This certificate program aims to provide you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. It will cover concepts behind the most common types of data you will need to be prepared to analyze, as well as help you explore the factors impacting data practice. This certificate program will also explain why intelligent data management and a corresponding analytics practice is critical for the success of both the organization and the professional. WHO WILL BENEFIT Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations' make informed, data-driven business decisions. KEY TOPICS The business impacts and disruptive potential of organizational data Basic concepts behind different types of data and how they're used The job roles and duties associated with data analytics The life cycle of organizational data and how to manage it A vocabulary for evaluating and communicating in data practice Exposure to and demonstrations of tools used for managing and analyzing data Common obstacles and hurdles to effectively leveraging data in an organization How to tie data to business requirements and build business cases LEARNING OBJECTIVES Determine how the digital transformation and disruption landscape create a competitive advantage across the enterprise. Identify the organizational ecosystem needed for becoming a data-driven organization. Analyze the life cycle of data and its implications for data-driven decision making. Compare common problems and risks associated with becoming a data-driven business. Differentiate between data analysis tools. Identify requirements for data-driven projects. Digital Badge: Your Professional Distinction Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit Info CPE CREDITS: Online: 10.0 (CPE credit info) NASBA FIELD OF STUDY: Specialized Knowledge LEVEL: Basic PREREQUISITES: None ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S1 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact service@aicpa.org. |
data management - applications - d427: Fleet Owner , 2005 |
data management - applications - d427: Microbiome-Host Interactions D. Dhanasekaran, Dhiraj Paul, N. Amaresan, A. Sankaranarayanan, Yogesh S. Shouche, 2021-04-01 Microbiota are a promising and fascinating subject in biology because they integrate the microbial communities in humans, animals, plants, and the environment. In humans, microbiota are associated with the gut, skin, and genital, oral, and respiratory organs. The plant microbial community is referred to as holobiont, and it is influential in the maintenance and health of plants, which themselves play a role in animal health and the environment. The contents of Microbiome-Host Interactions cover all areas as well as new research trends in the fields of plant, animal, human, and environmental microbiome interactions. The book covers microbiota in polar soil environments, in health and disease, in Caenorhabditis elegans, and in agroecosystems, as well as in rice root and actinorhizal root nodules, speleothems, and marine shallow-water hydrothermal vents. Moreover, this book provides comprehensive accounts of advanced next-generation DNA sequencing, metagenomic techniques, high-throughput 16S rRNA sequencing, and understanding nucleic acid sequence data from fungal, algal, viral, bacterial, cyanobacterial, actinobacterial, and archaeal communities using QIIME software (Quantitative Insights into Microbial Ecology). FEATURES Summarizes recent insight in microbiota and host interactions in distinct habitats, including Antarctic, hydrothermal vents, speleothems, oral, skin, gut, feces, reproductive tract, soil, root, root nodules, forests, and mangroves Illustrates the high-throughput amplicon sequencing, computational techniques involved in the microbiota analysis, downstream analysis and visualization, and multivariate analysis commonly used for microbiome analysis Describes probiotics and prebiotics in the composition of the gut microbiota, skin microbiome impact in dermatologic disease prevention, and microbial communities in the reproductive tract of humans and animals Presents information in a reachable way for students, teachers, researchers, microbiologists, computational biologists, and other professionals who are interested in strengthening or enlarging their knowledge about microbiome analysis with next-generation DNA sequencing in the different branches of the sciences |
data management - applications - d427: Data & Computer Communication Rachna Sharma, 2008 |
data management - applications - d427: Unsaturated Soils: Research and Applications Claudio Mancuso, Cristina Jommi, Francesca D’Onza, 2012-06-26 These volumes contain the contributions to the Second European Conference on Unsaturated Soils, E-UNSAT 2012, held in Napoli, Italy, in June 2012. The event is the second of a series of European conferences, and follows the first successful one, organised in Durham, UK, in 2008. The conference series is supported by Technical Committee 106 of the International Society of Soil Mechanics and Geotechnical Engineering on Unsaturated Soils. The published contributions were selected after a careful peer-review process. A collection of more than one hundred papers is included, addressing the three thematic areas experimental, including advances in testing techniques and soil behaviour, modelling, covering theoretical and constitutive issues together with numerical and physical modelling, and engineering, focusing on approaches, case histories and geo-environmental themes. The areas of application of the papers embrace most of the geotechnical problems related to unsaturated soils. Increasing interest in geo-environmental problems, including chemical coupling, marks new perspectives in unsaturated soil mechanics. This book will provide a valuable up-to-date reference across the subject for both researchers and practitioners. |
data management - applications - d427: Soil Survey , 1997 |
data management - applications - d427: Reordering Life Stephen Hilgartner, 2017-05-19 How the regimes governing biological research changed during the genomics revolution, focusing on the Human Genome Project. The rise of genomics engendered intense struggle over the control of knowledge. In Reordering Life, Stephen Hilgartner examines the “genomics revolution” and develops a novel approach to studying the dynamics of change in knowledge and control. Hilgartner focuses on the Human Genome Project (HGP)—the symbolic and scientific centerpiece of the emerging field—showing how problems of governance arose in concert with new knowledge and technology. Using a theoretical framework that analyzes “knowledge control regimes,” Hilgartner investigates change in how control was secured, contested, allocated, resisted, justified, and reshaped as biological knowledge was transformed. Beyond illuminating genomics, Reordering Life sheds new light on broader issues about secrecy and openness in science, data access and ownership, and the politics of research communities. Drawing on real-time interviews and observations made during the HGP, Reordering Life describes the sociotechnical challenges and contentious issues that the genomics community faced throughout the project. Hilgartner analyzes how laboratories control access to data, biomaterials, plans, preliminary results, and rumors; compares conflicting visions of how to impose coordinating mechanisms; examines the repeated destabilization and restabilization of the regimes governing genome databases; and examines the fierce competition between the publicly funded HGP and the private company Celera Genomics. The result is at once a path-breaking study of a self-consciously revolutionary science, and a provocative analysis of how knowledge and control are reconfigured during transformative scientific change. |
data management - applications - d427: The Food of Oman Felicia Campbell, 2015-10-13 In the Arabian Gulf, just east of Saudi Arabia and across the sea from Iran, the kitchens of Oman are filled with the enticing, mysterious aroma of a spice bazaar: musky black limes, earthy cloves, warming cinnamon, cumin, and coriander all play against the comforting scent of simmering basmati rice. Beyond these kitchens, the rocky crags of Jabal Akhdar tower, palm trees sway along the coast of Salalah, sand dunes ripple across Sharqiyah, and the calls to prayer echo from minarets throughout urban Muscat. In The Food of Oman, American food writer Felicia Campbell invites readers to journey with her into home kitchens, beachside barbeques, royal weddings, and humble teashops. Discover with her the incredible diversity of flavors and cultures in the tiny Sultanate of Oman. Omani cuisine is rooted in a Bedouin culture of hospitality—using whatever is on hand to feed a wandering stranger or a crowd of friends—and is infused with the rich bounty of interloping seafarers and overland Arabian caravan traders who, over the centuries, brought with them the flavors of East Africa, Persia, Asia, and beyond. In Oman, familiar ingredients mingle in exciting new ways: Zanzibari biryani is scented with rosewater and cloves, seafood soup is enlivened with hot red pepper and turmeric, green bananas are spiked with lime, green chili, and coconut. The recipes in The Food of Oman offer cooks a new world of flavors, techniques, and inspiration, while the lush photography and fascinating stories provide an introduction to the culture of a people whose adventurous palates and deep love of feeding and being fed gave rise to this unparalleled cuisine. |
data management - applications - d427: Introduction to Geotechnical Engineering Siva Sivakugan, Braja M. Das, 2015-02 Written in a concise, easy-to understand manner, INTRODUCTION TO GEOTECHNICAL ENGINEERING, 2e, presents intensive research and observation in the field and lab that have improved the science of foundation design. Now providing both U.S. and SI units, this non-calculus-based book is designed for courses in civil engineering technology programs where soil mechanics and foundation engineering are combined into one course. It is also a useful reference tool for civil engineering practitioners. |
data management - applications - d427: Advances in Bioinformatics Vijai Singh, |
data management - applications - d427: The 6th National Conference on Management of Uncontrolled Hazardous Waste Sites, November 4-6, 1985, Washington, D.C. , 1985 |
data management - applications - d427: Current Protocols in Bioinformatics Andreas D. Baxevanis, 2003 Current Protocols in Bioinformatics is the only publication that responds to the need for both a current and updateable source of bioinformatics methodology. This unique publication assures that you have access to a full range of bioinformatics protocols written by globally-recognized experts in the field, and that these proto-cols are updated and revised as new developments and innovations occur. |
data management - applications - d427: Nutritional Management of Renal Disease Joel D. Kopple, Shaul G Massry, Kamyar Kalantar-Zadeh, 2012-12-31 This translational text offers in-depth reviews of the metabolic and nutritional disorders that are prevalent in patients with renal disease. Chapter topics address the growing epidemic of obesity and metabolic syndrome. Each chapter integrates basic and clinical approaches, from cell biology and genetics to diagnosis, patient management and treatment. Chapters in sections 4-7 include new illustrative case reports, and all chapters emphasize key concepts with chapter-ending summaries. New features also include the latest National Kidney Foundation Clinical Practice Guidelines on Nutrition in Chronic Renal Failure, the most recent scientific discoveries and the latest techniques for assessing nutritional status in renal disease, and literature reviews on patients who receive continuous veno-venous hemofiltration with or without dialysis. - Provides a common language for nephrologists, nutritionists, endocrinologists, and other interested physicians to discuss the underlying research and translation of best practices for the nutritional management and prevention of renal disease - Saves clinicians and researchers time in quickly accessing the very latest details on nutritional practice as opposed to searching through thousands of journal articles - Correct diagnosis (and therefore correct treatment) of renal, metabolic, and nutritional disorders depends on a strong understanding of the molecular basis for the disease – both nephrologists and nutritionists will benefit - Nephrologists and nutritionists will gain insight into which treatments, medications, and diets to use based on the history, progression, and genetic make-up of a patient - Case Reports will offer an added resource for fellows, nutritionists, and dieticians who need a refresher course |
data management - applications - d427: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller, 2019-09-10 The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI. |
data management - applications - d427: Evolutionary Genomics Maria Anisimova, 2012-03-08 Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies. Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight. Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data. Written in the highly successful Methods in Molecular BiologyTM series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses. Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics. |
Data Management Applications Course Syllabus - Amazon …
In this course, you will explore conceptual data modeling and MySQL. You will learn how to create simple to complex SELECT queries, including subqueries and joins, and how to use SQL to …
USNCC AS Data Analytics Program Plan - Western Governors …
May 13, 2024 · D427 - Data Management-Applications. Data Management - Applications covers conceptua data modeling and introduces MySQL. Students will learn how to create simple to …
Bachelor of Science, Data Management/Data Analytics
The B.S. in Data Management/Data Analytics is designed to prepare science professionals who can set up a database environment, design databases, acquiredata, wrangle it, analyze it, and …
THE DATA MANAGEMENT TOOLKIT
e Areas of data management. These Knowledge Areas can be combined in several subject areas: Management of Diferent Data Types (Reference and Master Data, Document and Content …
Guidance for Review of Data Management Plans
This document establishes guidance for review of data management plans (DMPs) submitted with applications and proposals for financial assistance and other types of federal funding for the …
ECE 9014A: Data Management & Applications - uwo.ca
Learning Objectives 4.3 (LO 4.3): The students should understand and apply descriptive data mining techniques on a given dataset. Learning Competency 5 (LC 5): By the end of the …
Data Management
The Contract Data Requirement List (CDRL) DD Form 1423-1 provides the contractual method to direct the contractor to prepare and deliver data that meets the specific approval and …
USNCC AS-Data Analytics Transfer Credit Guidelines
D427 – Data Management – Applications: A second database course equivalent to 4 units, or one of the following Certifications: CIW Database Design Specialist (1D0- 541), CIW Web …
Data Management Plans: Stages, Components, and Activities
Dec 30, 2011 · This paper describes common basic strategies critical to the management of data as applied to a data set from a longitudinal study. The stages of data management are …
DATABASE MANAGEMENT SYSTEM - JMRA
Application programs should be as independent as possible from details of data representation and storage. The DBMS can provide an abstract view of the data to insulate application code …
Data Management Best Practices - Smithsonian Libraries
These best practices are designed to improve overall management of data at each point in the lifecycle, resulting in published data that are not only easy to care for long after the project is …
Next-Generation Test Data Management - Gartner
Next-Generation Test Data Management How to deliver the right test data, to the right teams, at the right time 2 Welcome 3 Research from Gartner: Determining the ‘Right’ Number of …
CHAPTER 1 Introduction: Fundamentals of Data Management
The process of gathering, storing, and using data in a way that is economical, secure, and effective is known as data management. Data management enables individuals, groups, and …
LLM for Data Management - Tsinghua University
We in-troduce three typical LLM based data management applications, including database optimization (e.g., system diagnosis), data pro-cessing (e.g., data standardization), and data …
Need Training Assistance with VS Surveillance Data …
Need Training Assistance with VS Surveillance Data Management Applications? Did you know Surveillance Data Management Training Network Associates are available to assist you with …
Data Management Plan (DMP) Guidance for Award Applicants …
Data management and accessibility of public health data involves ensuring: 1) data quality according to established standards; 2) consideration of privacy and confidentiality; 3) …
The evolution of Data Management A practitioner’s perspecti
Finally, we provide some key considerations for designing a data fabric that will ensure that the right data – that’s integrated, well governed and curated, of the right quality and with full …
Data Management Systems - Mitutoyo
As a global leader in Metrology Hardware, Software and Services, Mitutoyo is frequently called upon to assist manufacturers in implementing a Data Management System. This document …
BEST PRACTICES FOR DATA MANAGEMENT IN ARTIFICIAL …
To provide a stable base to address the challenges and opportunities of data management in AI and big data scenarios, a comprehensive range of standards and technical reports has been …
Data Management Applications Course Syllabus - Amazon …
In this course, you will explore conceptual data modeling and MySQL. You will learn how to create simple to complex SELECT queries, including subqueries and joins, and how to use SQL to …
USNCC AS Data Analytics Program Plan - Western Governors …
May 13, 2024 · D427 - Data Management-Applications. Data Management - Applications covers conceptua data modeling and introduces MySQL. Students will learn how to create simple to …
Bachelor of Science, Data Management/Data Analytics
The B.S. in Data Management/Data Analytics is designed to prepare science professionals who can set up a database environment, design databases, acquiredata, wrangle it, analyze it, and …
THE DATA MANAGEMENT TOOLKIT
e Areas of data management. These Knowledge Areas can be combined in several subject areas: Management of Diferent Data Types (Reference and Master Data, Document and Content man …
Data Management, Analysis Tools, and Analysis Mechanics
This chapter discusses how to combine and manage data streams, and how to use data management tools to produce analytical results that are error free and reproducible, once useful …
Guidance for Review of Data Management Plans
This document establishes guidance for review of data management plans (DMPs) submitted with applications and proposals for financial assistance and other types of federal funding for the …
ECE 9014A: Data Management & Applications - uwo.ca
Learning Objectives 4.3 (LO 4.3): The students should understand and apply descriptive data mining techniques on a given dataset. Learning Competency 5 (LC 5): By the end of the course …
Data Management
The Contract Data Requirement List (CDRL) DD Form 1423-1 provides the contractual method to direct the contractor to prepare and deliver data that meets the specific approval and …
USNCC AS-Data Analytics Transfer Credit Guidelines
D427 – Data Management – Applications: A second database course equivalent to 4 units, or one of the following Certifications: CIW Database Design Specialist (1D0- 541), CIW Web Development …
Data Management Plans: Stages, Components, and Activities
Dec 30, 2011 · This paper describes common basic strategies critical to the management of data as applied to a data set from a longitudinal study. The stages of data management are identified. …
DATABASE MANAGEMENT SYSTEM - JMRA
Application programs should be as independent as possible from details of data representation and storage. The DBMS can provide an abstract view of the data to insulate application code from …
Data Management Best Practices - Smithsonian Libraries
These best practices are designed to improve overall management of data at each point in the lifecycle, resulting in published data that are not only easy to care for long after the project is …
Next-Generation Test Data Management - Gartner
Next-Generation Test Data Management How to deliver the right test data, to the right teams, at the right time 2 Welcome 3 Research from Gartner: Determining the ‘Right’ Number of …
CHAPTER 1 Introduction: Fundamentals of Data Management
The process of gathering, storing, and using data in a way that is economical, secure, and effective is known as data management. Data management enables individuals, groups, and networked …
LLM for Data Management - Tsinghua University
We in-troduce three typical LLM based data management applications, including database optimization (e.g., system diagnosis), data pro-cessing (e.g., data standardization), and data …
Need Training Assistance with VS Surveillance Data …
Need Training Assistance with VS Surveillance Data Management Applications? Did you know Surveillance Data Management Training Network Associates are available to assist you with VS …
Data Management Plan (DMP) Guidance for Award Applicants …
Data management and accessibility of public health data involves ensuring: 1) data quality according to established standards; 2) consideration of privacy and confidentiality; 3) …
The evolution of Data Management A practitioner’s perspecti
Finally, we provide some key considerations for designing a data fabric that will ensure that the right data – that’s integrated, well governed and curated, of the right quality and with full provenance …
Data Management Systems - Mitutoyo
As a global leader in Metrology Hardware, Software and Services, Mitutoyo is frequently called upon to assist manufacturers in implementing a Data Management System. This document details how …
BEST PRACTICES FOR DATA MANAGEMENT IN ARTIFICIAL …
To provide a stable base to address the challenges and opportunities of data management in AI and big data scenarios, a comprehensive range of standards and technical reports has been …