الصفحة 6
الصفحة 6
Distributed computing -- IWDC 2004 ; 6th International Workshop, Kolkata, India, December 27-30, 2004, Proceedings
Last, but not least, thanks to all the participants and authors. We hope that they enjoyed the workshop as much as the wonderful and culturally vibrant city of Kolkata! Bhabani P. Sinha Indian Statistical Institute, Kolkata, India December 2004 Sajal K. Das University of Texas, Arlington, USA December 2004 Program Chairs’ Message On behalf of the Technical Program Committee of the 6th International Wo- shop on Distributed Computing, IWDC 2004, it was our great pleasure to w- come the attendees to Kolkata, India. Over the last few years, IWDC has emerged as an internationally renowned forum for interaction among researchers from academia and industries around the world.
Digitization of healthcare data using blockchain
Gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management. he aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system.
Digital Control of Electrical Drives
Digital Control of Electrical Drives offers insight into electric drives and their usage in motion control environment. It provides links among electrical machine and control theory, practical hardware aspects, programming issues, and application-specific problems. The book prepares the reader to understand the key elements of motion control systems, analyze and design discrete-time speed and position controllers, set adjustable feedback parameters, and evaluate closed-loop performances. Basic engineering principles are used to derive the controller structure in an intuitive manner, so that designs are easy to comprehend, modify, and extend.
Developing Students Statistical Reasoning : Connecting Research and Teaching Practice
This book is written for mathematics and statistics educators and researchers. It summarizes the research and highlights the important concepts for teachers to emphasize, and shows the interrelationships among concepts. It makes specific suggestions regarding how to build classroom activities, integrate technological tools, and assess students’ learning.
Developing Organogel of CoEnzyme Q10
Coenzyme Q10 is a small lipophilic molecule composed of a benzoquinone ring and a hydrophobic isoprenoid tail and is present in all cell membranes. It is also an antioxidant. It plays a substantial role in energy production by acting as a mobile electron carrier in the electron transport chain. It has poor intestinal absorption and is prepared in topical forms. Organogel is a non-crystalline, non-glassy thermoreversible (thermoplastic) solid material and viscoelastic system can be regarded as a semi-solid preparation which has an immobilized external apolar phase, it is compatible with high molecular weight ingredients. The objective of present work is to prepare new dosage form with studying of different factors and conditions affecting preparation. Materials and methods: stearic acid and Flaxseed oil organogel was prepared by three methods and confirmed by quality assessment methods including: transparency, structure analysis, inverted tube test, kinetic of organogalation and stability test.
Designing urban agriculture : A complete guide to the planning, design, construction, maintenance and management of edible landscapes
About the intersection of ecology, design, and community. Showcasing projects and designers from around the world who are forging new paths to the sustainable city through urban agriculture landscapes, it creates a dialogue on the ways to invite food back into the city and pave a path to healthier communities and environments.This full-color guide begins with a foundation of ecological principles and the idea that the food shed is part of a city's urban systems network. It outlines a design process based on systems thinking and developed for a lifecycle or regenerative-based approach. It also presents strategies, tools, and guidelines that enable informed decisions on planning, designing, budgeting, constructing, maintaining, marketing, and increasing the sustainability of this re-invented cityscape.
Designing sustainable energy for all : Sustainable product-service system design applied to distributed renewable energy
This open access book addresses the issue of diffusing sustainable energy access in low- and middle-income contexts.The book analyses, discusses and classifies the promising Sustainable Product-Service System (S.PSS) business models to deliver Distributed Renewable Energy systems in an effective, efficient and sustainable way. Its message is supported with cases studies and examples, discussing the economic, environmental and socioethical benefits as well as its limitations and barriers to its implementation. An innovative design approach is proposed and a set of design tools are supplied, enabling readers to create and develop Sustainable Product-Service System (S.PSS) solutions to deliver Distributed Renewable Energy systems.Practical applications of the book’s design approach and tools by companies and practitioners are discussed and the book will be of interest to readers in design, industry, govermanetal institution, NGOs as well as researchers.
Designing landscape architectural education : Studio ecologies for unpredictable futures
Asks designers and academic practitioners to describe their own work through an ecological lens, and then to articulate design approaches for developing new practices in landscape architecture teaching. Designing Landscape Architectural Education: Studio Ecologies for Unpredictable Futures, the Landscape Architecture Design Studio Companion serves as a resource for academic practitioners in the preparation and delivery of 'design-research studios' and students seeking guidance for design methodologies as a part of their landscape architectural education. It draws on the manifold issues of the climate crisis as a set of drivers to examine the utilisation of a range of innovative design approaches to address the current and future priorities of the discipline.
Design studio ; Vol.1 : Everything needs to change : Architecture and the climate emergency
Everything Needs to Change. Exploring architecture and the climate emergency, editors Sofie Pelsmakers (author of Environmental Design Sourcebook) and Nick Newman (climate activist and Director at Studio Bark), are channelling the message of Greta Thunberg to inspire, enthuse and inform the next generation of architects.
Dental statistics made easy ; 3rd ed.
Presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further reading and exercises complete with detailed solutions. There is an emphasis on the principles and application of statistics without the use of algebra.
Dental erosion and its clinical management
In this handbook, the most up-to-date theoretical and practical information on dental erosion is distilled into an accessible, practical, and clinically focused format. Topics are covered in a step-by-step, easy-to-understand manner, with tables, checklists, images, flowcharts, and bullet point-like presentation of core messages that is ideal for busy dental practitioners and students. Procedures and products not yet supported with evidence are not included. Besides providing evidence-based guidance on the varied treatment and prevention strategies, the book examines thoroughly the dental erosion process itself and the intrinsic and extrinsic causes. In addition, careful attention is paid to the etiology, prevalence, and management of dentin hypersensitivity, the restoration of worn dentin, and non-carious cervical lesions. Provides step-by-step, evidence-based guidance on clinical management procedures for dental erosion / Describes the etiology, prevalence, and treatment of dentin hypersensitivity / Discusses restoration of worn dentin and non-carious cervical lesions / Includes informative color images, tables, summary boxes, and flowcharts
Defect-Oriented Testing for Nano-Metric CMOS VLSI Circuits
Failures of nano-metric technologies owing to defects and shrinking process tolerances give rise to significant challenges for IC testing. As the variation of fundamental parameters such as channel length, threshold voltage, thin oxide thickness and interconnect dimensions goes well beyond acceptable limits, new test methodologies and a deeper insight into the physics of defect-fault mappings are needed. In Defect-Oriented Testing for Nano-Metric CMOS VLSI Circuits state of the art of defect-oriented testing is presented from both a theoretical approach as well as from a practical point of view. Step-by-step handling of defect modeling, defect-oriented testing, yield modeling and its usage in common economics practices enables deeper understanding of concepts.
Deep space probes : To the outer solar system and beyond
This second edition includes an entirely new chapter on holographic message plaques for future interstellar probes – a NASA-funded project.
Deep neural networks and data for automated driving : robustness, uncertainty quantification, and insights towards safety
Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety? This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above.
Deep learning pipeline : Building a deep learning model with TensorFlow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
Datatype-Generic Programming ; International Spring School, SSDGP 2006, Nottingham, UK, April 24-27, 2006, Revised Lectures
A leitmotif in the evolution of programming paradigms has been the level and extent of parametrisation that is facilitated — the so-called genericity of the paradigm. The sorts of parameters that can be envisaged in a programming language range from simple values, like integers and fioating-point numbers, through structured values, types and classes, to kinds (the type of types and/or classes).Datatype-generic programming is about parametrising programsby the structure of the data that they manipulate. To appreciate the importance of data type genericity,one need look no further than the internet. The internet is a massive repository of structured data, but the structure is rarely exploited. For example, compression of data can be much more efiective if its structure is known, but most compression algorithms regard the input data as simply a string of bits, and take no account of its internal organisation. Datatype-generic programming is about exploiting the structure of data when it is relevant and ignoring it when it is not. Programming languages most c- monly used at the present time do not provide efiective mechanisms for do- menting and implementing datatype genericity.
Data-Driven Policy Impact Evaluation : How Access to Microdata is Transforming Policy Design
Provides statistical tools for evaluating the effects of public policies advocated by governments and public institutions. Experts from academia, national statistics offices and various research centers present modern econometric methods for an efficient data-driven policy evaluation and monitoring, assess the causal effects of policy measures and report on best practices of successful data management and usage. Topics include data confidentiality, data linkage, and national practices in policy areas such as public health, education and employment. It offers scholars as well as practitioners from public administrations, consultancy firms and nongovernmental organizations insights into counterfactual impact evaluation methods and the potential of data-based policy and program evaluation.
Data science, AI, and machine learning in drug development
The confluence of big data, AI, and machine learning has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R&D, emerging applications of big data, AI and machine learning in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations
Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered that includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Apart from structural and theoretical results the book shows how to apply the proposed to a variety of problems, for example in medicine, microarray analysis, social network structures, and music. The combination of new methodological advances with the wide range of real applications collected in this volume is of special value for researchers when choosing the appropriate among newly developed analytical tools for their research problems in classification and data analysis.
Data mining and machine learning applications
Elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data.
