الصفحة 17
الصفحة 17
Designing Urban Food Policies : Concepts and Approaches
This book is for scientists and experts who work on urban food policies. It provides a conceptual framework for understanding the urban food system sustainability and how it can be tackled by local governments. Written by a collective of researchers, this book describes the existing conceptual frameworks for an analysis of urban food policies, at the crossroads of the concepts of food system and sustainable city.
Designing Democracy : Ideas for Better Rules
While liberal democracies are the best systems of self-governance for societies, they rarely invoke great enthusiasm. On the one hand, democracies have been known to fail in achieving efficient or fair allocations. On the other hand, many citizens take the democratic system for granted as they have yet to experience an alternative. In this book the vision we propose is that the potential of democ racies has not yet been exhausted, and that optimal democracies are both the Utopia for societies and the aim that scientists should be committed to. We present a number of ideas for drawing up new rules to im prove the functioning of democracies. The book falls into two parts. The first part examines ways of combining incentive contracts with democratic elections. We suggest that a judicious combina tion of these two elements as a dual mechanism can alleviate a wide range of political failures, while at the same time adhering to the founding principles of democracies. The second part presents new rules for decision-making and agenda setting. Together with modern communication devices, these rules can sometimes transcend the limitations of liberal VI Preface democracies in achieving desirable outcomes. Examples of such rules include the flexible majority rule where the size of the ma jority required depends on the proposal, or the rule that only those belonging to the winning majority can be taxed.
Designing big data platforms : How to use, deploy, and maintain big data systems
Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management / Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems / Highlights and explains how data is processed at scale / Includes an introduction to the foundation of a modern data platform
Dependable computing - EDCC 2005 ; 5th European dependable computing Conference, Budapest, Hungary, April 20-22, 2005, Proceedings
It is always a special honor to chair the European Dependable Computing C- ference (EDCC). EDCC has become one of the well-established conferences in the ?eld of dependability in the European research area. Budapest was selected as the host of this conference due to its traditions in organizing international scienti?c events and its traditional role of serving as a meeting point between East and West. EDCC-5 was the ?fth in the series of these high-quality scienti?c conf- ences. In addition to the overall signi?cance of such a pan-European event, this year’s conference was a special one due to historic reasons. The roots of EDCC date back to the moment when the Iron Curtain fell. Originally, two groups of scientists from di?erent European countries in Western and Eastern Europe – who were active in research and education related to dependability created a – joint forum in order to merge their communities as early as in 1989. This trend has continued up to today. This year’s conference was the ?rst one where the overwhelming majority of the research groups belong to the family of European nations united in the European Union. During the past 16 years we observed that the same roots in all the professional, cultural and scienti?c senses led to a seamless integration of these research communities previously separated ar- ?cially for a long time. EDCC has become one of the main European platforms to exchange new - searchideasinthe?eldofdependability.
Deoxynucleoside Analogs in Cancer Therapy
Emerging as an important new volume in the renowned Cancer Drug Discovery and Development™ series, Deoxynucleoside Analogs in Cancer Therapy expertly summarizes the current status of development and application of deoxynucleoside analogs. Authoritative up-to-date reviews are presented by scientists well known in their specific areas and all contributions include valuable sound advice on structure and topics. Organized into several sections, the first part covers general aspects of drug uptake and metabolism and explains how novel technology has enabled a rapid expansion of this field. The second part is concerned with a number of specific drugs including cytarabine, gemcitabine, troxacitabine, clofarabine and Ara-G. The final section covers pharmacokinetics, prodrugs, and specific applications such as radiosensitization, gene therapy, and the use of deoxynucleoside analogs as tracers
Dental implants and bone grafts : materials and biological issues
Provides detailed coverage of biomaterials for dental implants and bone graft, enabling scientists and clinicians to gain a thorough knowledge of advances and applications in this field. As tooth loss and alveolar bony defects are common and pose a significant health problem in dental clinics, this book deals with timely topics, including alveolar bone structures and pathological changes, reviews of indications and advantages of biomaterials for dental implants and bone graft, design and surface modification, biological interaction and biocompatibility of modern dental implants and bone graft, and new frontiers.This book is a highly valuable resource for scientists, clinicians and implantologists interested in biomaterial and regenerative strategies for alveolar bone reconstruction.
Delivery of drugs ; Vol.2 : Expectations and realities of multifunctional drug delivery systems
Examines the formulation of micro-nanosized drug delivery systems and recaps opportunities for using physical methods to improve efficacy via mechano-, electroporation. The book highlights innovative delivery methods like PIPAC, including discussions on the regulatory aspects of complex injectables. Written by a diverse range of international researchers from industry and academia, the chapters examine specific aspects of characterization and manufacturing for pharmaceutical applications as well as regulatory and policy aspects.This book connects formulation scientists, regulatory experts, engineers, clinical experts and regulatory stakeholders.
Defense against Bioterror : Detection Technologies, Implementation Strategies and Commercial Opportunities ; Proceedings of the NATO Advanced Research Workshop on Defense against Bioterror: Detection Technologies, Implementation Strategies and Commercial Opportunities, held in Madrid, Spain from 8 to 11 April 2004
A critical assessment of state-of-the-art of emerging ("breakthrough") biosensor technologies that will allow for the rapid identification of biological threat agents in the environment and human population, Identification of directions for future research, and to promote close working relationships between scientists from different countries and with different professional experience. The volume is devoted to a comprehensive overview of the current state of biological weapons threat; challenges confronting biodetection technologies and systems; ongoing research and development; and, future requirements. Biosensor technologies including detection platforms, networked alarm-type biodetector systems, implementation strategies, electro-optical and electrochemical biosensors.
Defects of Secretion in Cystic Fibrosis
This book brings together physicians, physiologists, and other scientists involved in basic research, from molecular biology to drug design and introduces novel investigative and therapeutic aspects of secretion disorders relevant in cystic fibrosis and related diseases. This book will be of interest to Molecular biologists, physiologists, scientists working in pharmaceutical research and drug developement, physicians and researchers in Cystic fibrosis and related diseases.
Decision Making for Complex Socio-Technical Systems : Robustness from Lessons Learned in Long-Term Radioactive Waste Governance
The long-term governance of radioactive waste continues to be a major complex and contentious socio-technical issue worldwide. Traditionally, it has been considered as mainly a challenge to scientists and engineers to develop technical "solutions" to specific problems. But increasingly these narrow solutions have been enlarged by wider societal considerations such as ethics, public involvement, control and retrievability – needs that have in the meanwhile been recognised by the nuclear community, at least in a general way. In this book, we analyse motives for a broad discourse as well as suggest prerequisites to launch it. The author attempts to give a novel, empirically based and technically sound treatment of fundamental issues in long-term management and governance. Written to be accessible to a wide selection of the interested public, the study proposes a combination of technical design issues, analysis methods and institutional backup in a dynamic procedure, and with involvement at all levels of political, commercial and social life.
Debating Transformations of National Citizenship
Deconomic, social and political change. It focuses on the emergence of global markets where citizenship is for sale and on how new reproduction technologies impact citizenship by descent. It also discusses the return of banishment through denationalisation of terrorist suspects, and the impact of digital technologies, such as blockchain, on the future of democratic citizenship. The book provides a wide range of views on these issues from legal scholars, political scientists, and political practitioners. It is structured as a series of four conversations in which authors respond to each other. This exchange of arguments provides unique depth to current debates about the future of citizenship.
Debating European Citizenship
This book raises crucial questions about the citizenship of the European Union. Is it a new citizenship beyond the nation-state although it is derived from Member State nationality? Who should get it? What rights and duties does it entail? Should EU citizens living in other Member States be able to vote there in national elections? If there are tensions between free movement and social rights, which should take priority? And should the European Court of Justice determine what European citizenship is about or the legislative institutions of the EU or national parliaments? This book collects a wide range of answers to these questions from legal scholars, political scientists, and political practitioners. It is structured as a series of three conversations in which authors respond to each other. This exchange of arguments provides unique depth to the debate
Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring.
Data science on the Google cloud platform : Implementing end-to-end real-time data pipelines : From ingest to machine learning
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. You'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
Data science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part II
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
Data Science ; 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part I
This two volume set (CCIS 1257 and 1258) constitutes the refereed proceedings of the 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020 held in Taiyuan, China, in September 2020. The 98 papers presented in these two volumes were carefully reviewed and selected from 392 submissions. The papers are organized in topical sections: database, machine learning, network, graphic images, system, natural language processing, security, algorithm, application, and education.
Data Mining in Bioinformatics
8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biological research has shifted from genome sequences to protein functionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the entire proteome in a given cell type. The properties of a protein include its amino acid sequences, its expression levels under various developmental stages and in di?erent tissues, its3Dstructure and activesites,its functionalandstructural binding partners, and its subcellular location. Protein subcellular location is important for understanding protein function inside the cell. For example, the observation that the product of a gene is localized in mitochondria will support the hypothesis that this protein or gene is involved in energy metabolism. Proteins localized in the cytoskeleton are probably involved in intracellular tra?cking and support.
Data feminism
We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn how feminism can help them work towards justice, and for feminists seeking to learn how their own work can carry over to the growing field of data science.
Data Analysis Using the Method of Least Squares : Extracting the Most Information from Experiments
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest.Linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.
Data Algorithms with Spark
Apache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark. you will: Learn how to select Spark transformations for optimized solutions Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions() Understand data partitioning for optimized queries Build and apply a model using PySpark design patterns Apply motif-finding algorithms to graph data Analyze graph data by using the GraphFrames API Apply PySpark algorithms to clinical and genomics data Learn how to use and apply feature engineering in ML algorithms Understand and use practical and pragmatic data design patterns
