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Showing 19,051 through 19,075 of 86,772 results

Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning (Green Energy and Technology)

by Saleh Seyedzadeh Farzad Pour Rahimian

This book outlines the data-driven modelling of building energy performance to support retrofit decision-making. It explains how to determine the appropriate machine learning (ML) model, explores the selection and expansion of a reasonable dataset and discusses the extraction of relevant features and maximisation of model accuracy. This book develops a framework for the quick selection of a ML model based on the data and application. It also proposes a method for optimising ML models for forecasting buildings energy loads by employing multi-objective optimisation with evolutionary algorithms. The book then develops an energy performance prediction model for non-domestic buildings using ML techniques, as well as utilising a case study to lay out the process of model development. Finally, the book outlines a framework to choose suitable artificial intelligence methods for modelling building energy performances. This book is of use to both academics and practising energy engineers, as it provides theoretical and practical advice relating to data-driven modelling for energy retrofitting of non-domestic buildings.

Data-Driven, Nonparametric, Adaptive Control Theory (Lecture Notes in Control and Information Sciences #495)

by Andrew J. Kurdila Andrea L'Afflitto John A. Burns

Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed enforce satisfactory trajectory tracking despite functional uncertainties in the plant model. The book employs the properties of reproducing kernel Hilbert (native) spaces to characterize both the functional space of uncertainties and the controller's performance. Classical control systems are extended to broader classes of problems and more informative characterizations of the controllers’ performances are attained. Following an examination of how backstepping control and robust control Lyapunov functions can be ported to the native setting, numerous extensions of the model reference adaptive control framework are considered. The authors’ approach breaks away from classical paradigms in which uncertain nonlinearities are parameterized using a regressor vector provided a priori or reconstructed online. The problem of distributing the kernel functions that characterize the native space is addressed at length by employing data-driven methods in deterministic and stochastic settings. The first part of this book is a self-contained resource, systematically presenting elements of real analysis, functional analysis, and native space theory. The second part is an exposition of the theory of nonparametric control systems design. The text may be used as a self-study book for researchers and practitioners and as a reference for graduate courses in advanced control systems design. MATLAB® codes, available on the authors’ website, and suggestions for homework assignments help readers appreciate the implementation of the theoretical results.

Data-Handling in Biomedical Science

by Peter White

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.

Data-Intensive Radio Astronomy: Bringing Astrophysics to the Exabyte Era (Astrophysics and Space Science Library #472)

by Eleni Vardoulaki Marta Dembska Alexander Drabent Matthias Hoeft

Radio astronomy is irreversibly moving towards the exabyte era. In the advent of all-sky radio observations, efficient tools and methods to manage the large data volume generated have become imperative. This book brings together the knowledge of several different research fields to present an overview of current state-of-the-art methods in data-intensive radio astronomy. Its approach is comprehensive and data-centric, offering a coherent look at the four distinct parts of the data lifecycle: Data creation, storage and archivesData processingPost-processing and data analysisData access and reuse Large data management has been the topic of discussion within the astronomical community for decades. Some relevant areas explored in this volume are: ongoing technological innovations in interferometers and computing facilities; difficulties and possible solutions for the huge processing demands of radio telescope projects such as LOFAR, MeerKat, ASKAP; concepts for reliable and fast storage for archiving; and more. Written by experts across astrophysics, high-energy particle physics, data science, and computer science, this volume will help researchers and advanced students better understand the current state of data-intensive radio astronomy and tackle the major problems that may arise from future instruments.

Data-centric Living: Algorithms, Digitization and Regulation

by Sridhar V.

This book explores how data about our everyday online behaviour are collected and how they are processed in various ways by algorithms powered by Artificial Intelligence (AI) and Machine Learning (ML). The book investigates the socioeconomic effects of these technologies, and the evolving regulatory landscape that is aiming to nurture the positive effects of these technology evolutions while at the same time curbing possible negative practices. The volume scrutinizes growing concerns on how algorithmic decisions can sometimes be biased and discriminative; how autonomous systems can possibly disrupt and impact the labour markets, resulting in job losses in several traditional sectors while creating unprecedented opportunities in others; the rapid evolution of social media that can be addictive at times resulting in associated mental health issues; and the way digital Identities are evolving around the world and their impact on provisioning of government services. The book also provides an in-depth understanding of regulations around the world to protect privacy of data subjects in the online world; a glimpse of how data is used as a digital public good in combating Covid pandemic; and how ethical standards in autonomous systems are evolving in the digital world. A timely intervention in this fast-evolving field, this book will be useful for scholars and researchers of digital humanities, business and management, internet studies, data sciences, political studies, urban sociology, law, media and cultural studies, sociology, cultural anthropology, and science and technology studies. It will also be of immense interest to the general readers seeking insights on daily digital lives.

Data-driven Analytics for Sustainable Buildings and Cities: From Theory to Application (Sustainable Development Goals Series)

by Xingxing Zhang

This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Data-driven Modeling for Diabetes: Diagnosis and Treatment (Lecture Notes in Bioengineering)

by Vasilis Marmarelis Georgios Mitsis

This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.

Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

by Steve Lohr

“Lohr uses his Pulitzer Prize-winning reporting skills to dig into and explain the power, pervasiveness, and potential downside of big data.” —Library JournalIn Data-ism, New York Times reporter Steve Lohr explains how big-data technology is ushering in a revolution in proportions that promise to be the basis of the next wave of efficiency and innovation across the economy. But more is at work here than technology. Big data is also the vehicle for a point of view, or philosophy, about how decisions will be—and perhaps should be—made in the future. Lohr investigates the benefits of data while also examining its dark side.Data-ism is about this next phase, in which vast Internet-scale data sets are used for discovery and prediction in virtually every field. It shows how this new revolution will change decision making—by relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management. Focusing on young entrepreneurs at the forefront of data science as well as on giant companies such as IBM that are making big bets on data science for the future of their businesses, Data-ism is a field guide to what is ahead, explaining how individuals and institutions will need to exploit, protect, and manage data to stay competitive in the coming years. With rich examples of how the rise of big data is affecting everyday life, Data-ism also raises provocative questions about policy and practice that have wide implications for everyone.The age of data-ism is here. But are we ready to handle its consequences, good and bad?

Data: New Trajectories in Law (New Trajectories in Law)

by Robert Herian

This book explores the phenomenon of data – big and small – in the contemporary digital, informatic and legal-bureaucratic context. Challenging the way in which legal interest in data has focused on rights and privacy concerns, this book examines the contestable, multivocal and multifaceted figure of the contemporary data subject. The book analyses "data" and "personal data" as contemporary phenomena, addressing the data realms, such as stores, institutions, systems and networks, out of which they emerge. It interrogates the role of law, regulation and governance in structuring both formal and informal definitions of the data subject, and disciplining data subjects through compliance with normative standards of conduct. Focusing on the ‘personal’ in and of data, the book pursues a re-evaluation of the nature, role and place of the data subject qua legal subject in on and offline societies: one that does not begin and end with the inviolability of individual rights but returns to more fundamental legal principles suited to considerations of personhood, such as stewardship, trust, property and contract. The book’s concern with the production, use, abuse and alienation of personal data within the context of contemporary communicative capitalism will appeal to scholars and students of law, science and technology studies, and sociology; as well as those with broader political interests in this area.

Database Needs for Modeling and Simulation of Plasma Processing

by Panel on Database Needs in Plasma Processing

Information on Database Needs for Modeling and Simulation of Plasma Processing

Database and Expert Systems Applications: DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings (Communications in Computer and Information Science #903)

by Mourad Elloumi Abdelkader Hameurlain Roland Wagner A Min Tjoa Michael Granitzer Christin Seifert Benno Stein

This volume constitutes the refereed proceedings of the three workshops held at the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018: the Third International Workshop on Big Data Management in Cloud Systems, BDMICS 2018, the 9th International Workshop on Biological Knowledge Discovery from Data, BIOKDD, and the 15th International Workshop on Technologies for Information Retrieval, TIR.The 25 revised full papers were carefully reviewed and selected from 33 submissions. The papers discuss a range of topics including: parallel data management systems, consistency and privacy cloud computing and graph queries, web and domain corpora, NLP applications, social media and personalization

Database of Biologically Active Phytochemicals & Their Activity

by James A. Duke

Database of Biologically Active Phytochemicals and Their Activities presents an alphabetical tabulation of some 3,000 biologically active phytochemicals (elements and compounds) from higher plants. The data includes at least one and in some cases as many as 25 biological activities for each phytochemical. The database also provides data on effective dose, inhibitory concentrations, and lethal and/or toxic doses. Entries after 1990 indicate the source of the data. Database of Biologically Active Phytochemicals and Their Activities makes it possible to locate the concentration of many compounds in plants and compare this data with dosage information to calculate how much of a given plant food it would take to cause lethality, antioxidant activity, hypoglycemic activity, or artemicidal activity. Using WordPerfect (TM) 5.1's search function, you can find compounds by entering a key word in their name (e.g., choline or salicyl-), locate all compounds with a given activity (e.g., hypotensive), or list all compounds for which ED50 data is entered or reported.

Database of Dreams

by Rebecca Lemov

Just a few years before the dawn of the digital age, Harvard psychologist Bert Kaplan set out to build the largest database of sociological information ever assembled. It was the mid-1950s, and social scientists were entranced by the human insights promised by Rorschach tests and other innovative scientific protocols. Kaplan, along with anthropologist A. I. Hallowell and a team of researchers, sought out a varied range of non-European subjects among remote and largely non-literate peoples around the globe. Recording their dreams, stories, and innermost thoughts in a vast database, Kaplan envisioned future researchers accessing the data through the cutting-edge Readex machine. Almost immediately, however, technological developments and the obsolescence of the theoretical framework rendered the project irrelevant, and eventually it was forgotten.

Databases for Pharmacoepidemiological Research (Springer Series on Epidemiology and Public Health)

by Miriam Sturkenboom Tania Schink

This book allows readers to gain an in-depth understanding of the role of real-world data in pharmacoepidemiology, and highlights the strengths and limitations of the respective databases with regard to pharmacoepidemiological research. Over the past decade, the increasing use of real-world data in pharmacoepidemiological research has been accompanied by a growing recognition of the value of real-world evidence in clinical and regulatory decision-making. Electronic healthcare databases allow analyses of drug and vaccine utilization in routine care after approval, as well as investigations of their comparative effectiveness and safety. They are especially useful for the identification of rare risks and rare drug exposures over long periods of time, and as such sustainably extend the basis for drug safety research. This book provides an introduction to the role of real-world data in pharmacoepidemiological research and the main developments in the last 15 years. It also offers a comprehensive overview of the general classification characteristics of databases, together with their strengths and limitations, and a detailed description of 21 individual databases, written by professionals who work with or maintain them.

Dataclismo: Amor, sexo, raza e identidad; lo que nuestra vida online cuenta de nosotros

by Christian Rudder

¿Has pensado alguna vez las consecuencias de colgar tu intimidad en las redes sociales? Dataclismo es una investigación audaz e irreverente sobre el comportamiento humano; un nuevo enfoque a una revolución en marcha. Durante décadas las únicas herramientas para estudiar el comportamiento humano partían de encuestas o pequeños experimentos. Hoy es posible un nuevo enfoque. Debido a Internet cada vez mostramos más aspectos de nuestra vida y los investigadores pueden observar nuestro comportamiento directamente, extrapolando a grandes cifras y sin filtros. Los analistas son a día de hoy los nuevos sociólogos. En Dataclismo Christian Rudder nos explica de forma original cómo a través de los likes de Facebook se puede predecir con precisión de cirujano la orientación sexual de una persona e incluso su inteligencia, cómo las mujeres atractivas reciben más solicitudes de entrevistas; y por qué hay que tener haters para estar de moda. Muestra cómo se expresa la gente en público y en privado y otras muchas cosas más. Dataclismo es una nueva forma de vernos a nosotros mismos, un libro de alquimia en el que las matemáticas se humanizan y los números se convierten en los trovadores de nuestro tiempo. Bestseller en The New York Times La crítica ha dicho...«Rudder nos demuestra que la información que proporcionamos a título individual dice mucho sobre quiénes somos como colectivo. Una lectura que es visualmente cautivadora y un tema fascinante hacen de este libro una elección ideal.»Library Journal «Demógrafos, emprendedores, estudiantes de historia y sociología y ciudadanos de a pie por igual encontrarán multitud de provocaciones y, sí, muchos datos en las páginas de este libro.»Kirkus «Estudiar la conducta humana es como explorar una jungla: es trabajoso y lioso, y uno se pierde con facilidad. Pero Christian Rudder es un guía experto que nos desvela verdades fundamentales sobre quiénes somos.»Dan Ariely, autor de Predictably Irrational «Dataclismo es un libro repleto de secretos suculentos: secretos sobre a quién amamos, lo que anhelamos, por qué nos gusta lo que nos gusta y cómo nos hacemos cambiar de opinión y de vida unos a otros muchas veces sin siquiera saberlo.»Jane McGonigal, autora de Reality is Broken «Una mirada fascinante, casi voyeurística, sobre quiénes somos en realidad.»Steven Strogatz, profesor en la universidad de Cornell y autor de The Joy of X «Un libro divertido y profundo sobre temas importantes. La raza, el amor, el sexo... ¿Somos la suma de los datos que generamos? Lee este libro de inmediato y verás si eres capaz de responder a esa pregunta.»Errol Morris

Date Palm (Crop Production Science in Horticulture)

by Mostafa I. Waly Dr Rashid Al-Yahyai Dr Larbi Abahmane Dr Mohamed Ait-El-Mokhtar Dr Fatima-Zahra Akensous Dr M. Tahir Akram Dr Salah Mohammed Aleid Dr Melkamu Alemayehu Dr Abda Ali Dr Latifa Al-Kharusi Professor Jameel M Al-Khayri Dr Mohammed Al-Mahish Dr Abdulrasoul Mosa Al-Omran Dr Lyutha Al-Subhi Asunción Amorós Dr Mohamed Anli Dr Mohamed Marouf Aribi Dr Raja Ben-Laoaune Dr Houda Besser Dr Neeru Bhatt Dr Abderrahim Boutasknit Dr Roshini Brizmohun Dr Latifa Dhaouadi Dr Gisela Díaz Dr Raga Elzaki Dr Abdessamad Fakhech Dr Mohamed Abusaa Fennir Dr Ibrahim E. Greiby Dr Ayah R. Hilles Professor Shri Mohan Jain Rhonda Janke Dr Muhammad Jafar Jaskani Professor Dennis V Johnson Dr Imran Ul Khan Dr M Mumtaz Khan Dr Rashad Rasool Khan Dr Robert R Krueger Dr Mithlesh Kumar Dr Abdelilah Meddich Dr C. M. Muralidharan Dr Summar Abbas Naqvi Dr Taseer Abbas Naqvi Dr Concepción Obón Dr Redouane Ouhaddou Dr Ozcan Ozturk Dr Ouissame Raho Dr Diego Rivera Dr Ricardo Salomón-Torres Dr Kapil Mohan Sharma Dr Muhammad Waseem Dr Glenn C. Wright

Date palm (Phoenix dactylifera L.) is a tree belonging to the palm family (Arecaceae) and is cultivated for its sweet edible fruits. Over the past century, it has become a major commercial fruit crop and a key component of agricultural production in the world's subtropical arid and semiarid regions. A crop suited both to the low-input small-farmer and the modern high-input commercial plantation, the date palm provides a livelihood for millions of people living in marginal land areas where farming options are restricted. Date palm is mainly grown for its fruits, but the whole tree is utilized. Research into date palm improvement for fruit production in recent decades has brought about improved elite cultivars, stress and pathogen resistance, and enhanced postharvest technologies. These developments have led to revised recommendations for date palm producers, and increased opportunity to promote novel fruit products. This book provides: · A practical manual on modern date palm cultivation methods. · Best practice guidelines for optimal production levels of high-quality fruit. · Opportunities for more complete utilization of date palm products at both the subsistence and commercial levels of production. With contributions from leading international experts, this is a valuable resource for researchers and students in horticulture, as well as date palm growers and processors.

Date Palm Biotechnology Protocols Volume I: Tissue Culture Applications (Methods in Molecular Biology #1637)

by S. Mohan Jain Jameel M. Al-Khayri Dennis V. Johnson

This two-volume book is a valuable resource to students, researchers, scientists, commercial producers, consultants and policymakers interested in agriculture or plant sciences particularly in date palm biotechnology. Date Palm Biotechnology Protocols, Volume 1: Tissue Culture and Applications is comprised of 27 chapters covering adventitious organogenesis, somatic embryogenesis, contamination, hyperhydricity, acclimatization, cell suspension, protoplast and bioreactors, genetic transformation secondary metabolites, and abiotic stress. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Date Palm Biotechnology Protocols, Volume 1: Tissue Culture and Applications aims to supplement the previous volume and to provide precise stepwise protocols in the field of date palm biotechnology.

Date Palm Biotechnology Protocols Volume II: Germplasm Conservation and Molecular Breeding (Methods in Molecular Biology #1638)

by S. Mohan Jain Jameel M. Al-Khayri Dennis V. Johnson

This two-volume book is a valuable resource to students, researchers, scientists, commercial producers, consultants and policymakers interested in agriculture or plant sciences particularly in date palm biotechnology. Chapters in Date Palm Biotechnology Protocols: Volume 2: Germplasm Conservation and Molecular Breeding guides readers through methods and protocols on germplasm in vitro conservation, molecular analysis of in vitro cultures, genetic diversity, cultivar identity, gender identification, genomics, and proteomics. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Date Palm Biotechnology Protocols: Volume 2: Germplasm Conservation and Molecular Breeding aims to supplement the previous volume and to provide precise stepwise protocols in the field of date palm biotechnology.

Date Palm Biotechnology: Tissue Culture Applications (Methods in Molecular Biology #1637)

by Shri Mohan Jain Jameel M. Al-Khayri Dennis V. Johnson

This important reference book is the first comprehensive resource worldwide that reflects research achievements in date palm biotechnology, documenting research events during the last four decades, current status, and future outlook. This book is essential for researchers, policy makers, and commercial entrepreneurs concerned with date palm. The book is invaluable for date palm biotechnology students and specialists. This monument is written by an international team of experienced researchers from both academia and industry. It consists of five sections covering all aspects of date palm biotechnology including A) Micropropagation, B) Somaclonal Variation, Mutation and Selection, C) Germplasm Biodiversity and Conservation, D) Genetics and Genetic Improvement, and E) Metabolites and Industrial Biotechnology. The book brings together the principles and practices of contemporary date palm biotechnology. Each chapter contains background knowledge related to the topic, followed by a comprehensive literature review of research methodology and results including the authors own experience including illustrative tables and photographs.

Date Palm Byproducts: A Springboard for Circular Bio Economy (Materials Horizons: From Nature to Nanomaterials)

by Mohamad Midani Hamed EL-Mously Eman A. Darwish

This comprehensive book presents an alternative fresh look at date palm byproducts as a springboard for the future circular bio economy. The book shows and exemplifies how these sustainable biomaterials can be the base for a wide spectrum of products and uses. Examples of these numerous products and uses are demonstrated and categorized into five principal uses: i) pharmaceutical, cosmetics and natural wax ,ii) textiles and composites, cellulose and cellulose derivatives, iii)timber and wood substitutes, architecture insulation and building materials, iv) organic fertilizer, compost and soil amendment and water treatment purposes, v) natural fodder and silage , green fuels and bioenergy.

Daten- und Identitätsschutz in Cloud Computing, E-Government und E-Commerce

by Jörg Schwenk Georg Borges

Für neue und künftige Geschäftsfelder von E-Commerce und E-Government stellen der Datenschutz und der Identitätsschutz wichtige Herausforderungen dar. Renommierte Autoren aus Wissenschaft und Praxis widmen sich in dem Band aktuellen Problemen des Daten- und Identitätsschutzes aus rechtlicher und technischer Perspektive. Sie analysieren aktuelle Problemfälle aus der Praxis und bieten Handlungsempfehlungen an. Das Werk richtet sich an Juristen und technisch Verantwortliche in Behörden und Unternehmen sowie an Rechtsanwälte und Wissenschaftler.

Datenanalyse für Naturwissenschaftler, Mediziner und Ingenieure

by Mario Schneider

Dieses Buch bietet Ihnen eine verständlich vermittelte Ausgangsbasis für die praktische Anwendung datenanalytischer Methoden, die sinnvolle Interpretation von Daten und die Ableitung von Informationen. Dabei setzt dieses Buch anstelle langer mathematischer Herleitungen und Beweise auf konkrete Beispiele, die jeweils Schritt für Schritt nachvollzogen werden. Die ausgewählten Beispieldaten werden mit Hilfe von Excel analysiert und das Erlernte kann anhand von Übungsaufgaben überprüft werden. Zusätzlich können Sie in Onlinevideos die Rechenschritte nachvollziehen und parallel in Excel mitrechnen. Damit liefert Ihnen dieses Buch nicht nur das für die wissenschaftliche Praxis notwendige Basiswissen der Datenanalyse, sondern bietet gleichermaßen das Fundament für einen souveränen Umgang mit den entsprechenden Instrumenten. Dieses Buch unterstützt somit Naturwissenschaftler, Mediziner und Ingenieure in Studium und Praxis und bietet einen leichten Einstieg in die statistische Datenanalyse und ihre Anwendung in Excel.

Datensammlung Chemie in SI-Einheiten

by Gordon H. Aylward Tristan J. Findlay

Man möchte vor dem Experiment die Wärmeentwicklung einer Reaktion abschätzen, eine neue Syntheseidee auf Plausibilität prüfen oder die Kenngrößen einer neuen Substanz in Beziehung zu bereits bekannten setzen - dies bedeutet meist für jeden Wissenschaftler einen zeitaufwendigen Besuch in der Bibliothek. Denn wie oft basieren die Daten auf unterschiedlichen Bezugssystemen, sind in landestypischen Nicht-SI-Einheiten angegeben und erfordern mehrmaliges Umrechnen. Diese kompakte Datensammlung enthält genau die Werte, die jeder Chemiker immer wieder benötigt. Alle Daten stehen untereinander in Beziehung und sind aufeinander abgestimmt. Für alle Größen werden die SI-Einheiten verwendet, doch sind natürlich die entsprechenden Umrechnungsfaktoren für Nicht-SI-Einheiten angegeben. Dass diese Neuauflage auf dem neuesten Stand ist und Sicherheitshinweise enthält, versteht sich von selbst.

Datenschutz für Softwareentwicklung und IT: Eine praxisorientierte Einführung

by Ralf Kneuper

Dieses Buch beschreibt das Thema Datenschutz aus der Sicht von Softwareentwicklung und IT. Die Verantwortlichen in diesen Bereichen gestalten die praktische Umsetzung des Datenschutzes zu erheblichen Teilen mit, benötigen dafür aber entsprechende Kenntnisse über die rechtlichen Rahmenbedingungen und Möglichkeiten zu deren Umsetzung. Der Fokus dieses Buchs liegt daher auf den Aspekten des Datenschutzes, die durch Softwareentwicklung stark beeinflusst werden, wie z.B. Privacy by Design, Privacy by Default, Datenminimierung, Umsetzung von Auskunftsrechten sowie Datenlöschung.

Dates: Production, Processing, Food, and Medicinal Values (Medicinal and Aromatic Plants - Industrial Profiles)

by M. Mohamed Essa A. Manickavasagan E. Sukumar

Of the many varieties of date palms, the species Phoenix dactylifera Linn. is cultivated extensively and traded and consumed worldwide. Dates: Production, Processing, Food, and Medicinal Values draws from a broad spectrum of contributors to present a comprehensive survey of this particular species. The book explores a range of essential facets of w

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