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Diffuse matter from star forming regions to active galaxies : A volume honouring John Dyson
In this volume dedicated to him, introductory reviews to a number of the key processes and to the sources themselves are given by leading experts. The mechanisms in which the multi-component natures of media affect their dynamics receive particular attention, but the roles of hydromagnetic effects are also highlighted.
Diasporic Hallyu : The Korean Wave in Korean Canadian Youth Culture
This book examines the lived experiences of diasporic Korean youth in light of the transnational flows of South Korean popular culture, known as the Korean Wave, or Hallyu. Drawing on an ethnographic study of Korean Canadian youth and their engagement with the Korean Wave, the book proposes a critical understanding of the interactions between diasporic youth audiences and popular culture.
Diabetes Mellitus & Recent developments
Diabetes mellitus is a group of metabolic disease characterized by hyperglycemia resulting from defect in insulin secretion, insulin action, or both. Symptoms of marked hyperglycemia include polyuria, polydipsia, weight loss, sometimes with polyphagia, and blurred vision. Frequency of diabetic in the world About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic Classification Of Diabetic Mellitus. 1-Type 1 diabetes: which accounts for only5–10% of those with diabetes, results from a cellular-mediated autoimmune destruction of the cells of the pancreas. 2-Type 2 diabetes: which accounts for90 –95% of those with diabetes, result from insulin resistance. The chronic complications of diabetes mellitus affect many organ systems and are responsible for the majority of morbidity and mortality. Such as, retinopathy, diabetic foot, neuropathy, and nephropathy, sexual dysfunction, and skin changes.
DevOps Tools for Java Developers : Best Practices from Source Code to Production Containers
Explore software lifecycle best practices Use DevSecOps methodologies to facilitate software development and delivery Understand the business value of DevSecOps best practices Manage and secure software dependencies Develop and deploy applications using containers and cloud native technologies Manage and administrate source control repositories and development processes Use automation to set up and administer build pipelines Identify common deployment patterns and antipatterns Maintain and monitor software after deployment
Developments in demographic forecasting
This book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration. For each component emerging methods to forecast them are presented. Moreover, instruments for forecasting evaluation are provided.
Designing machine learning systems : An iterative process for production-ready applications
Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
Designing and evaluating e-management decision tools : The integration of decision and negotiation models into internet-multimedia technologies
Presents the most relevant concepts for designing intelligent decision tools in an Internet-based multimedia environment and assessing the tools using concepts of statistical design of experiments. The book covers : Decision modeling paradigms , Visual interactive decision modeling , Online preference elicitation , collaborative decision making , negotiation and conflict resolution , marketing decision optimization , and guidelines for designing and evaluating decision support tools. This book is designed for the following uses: 1) for researchers and engineers, who are seeking recent advances and who are developing e-management systems; 2) for practitioners and managers, who seek insights about ICT potential and using ICT for business intelligence management; and 3) for students, who seek theoretical and practical concepts of building and evaluating prototype decision tools.
Designing an All-Inclusive Democracy : Consensual Voting Procedures For Use in Parliaments, Councils and Committees
This book describes the voting procedures by which majority rule may be replaced by a more consensual system of governance. The book includes a foreword by Sir Michael Dummett and contributions by Elizabeth Meehan, Hannu Nurmi and Maurice Salles, among others.
Designing a school library media center for the future ; 2nd ed.
In this hands-on guidebook, school library construction and media specialists Rolf Erikson and Carolyn Markuson share their experiences of working on more than 100 media center building projects around the country, using conceptual plans from actual school libraries.Combining all aspects of design for the school library media center—floor plans, furniture, technology, bidding, and evaluation—this newly updated edition addresses
Design Patterns in Modern C++20 : Reusable Approaches for Object-Oriented Software Design
As well as covering traditional design patterns, this book fleshes out new design patterns and approaches that will be useful to modern C++ developers. Author Dmitri Nesteruk presents concepts as a fun investigation of how problems can be solved in different ways, along the way using varying degrees of technical sophistication and explaining different sorts of trade-offs. You will: Use creational patterns such as builder, factories, prototype and singleton / Implement structural patterns such as adapter, bridge, decorator, facade and more / Work with the behavioral patterns such as chain of responsibility, command, iterator, mediator and more / Apply functional design patterns such as the Maybe Monad
Design and Performance of 3G Wireless Networks and Wireless LANs
Design and Performance of 3G Wireless Networks and Wireless LANs is for wireless communication system engineers, network engineers, professionals, and researchers. Network architectures of UMTS, CDMA2000 systems, and how major network elements within the 3G networks can be designed, are described. In addition, the authors describe how end-to-end performance for voice and data services can be determined. They also provide guidelines on how radio access networks and core networks can be engineered. Of equal importance, is inclusion of explanations of various wireless LAN standards (IEEE 802.11a, 802.11b, 802.11g, 802.11e) and how voice and data services can be offered in the wireless LAN systems.
Dental trauma : expert strategies
Presents cutting-edge strategies for managing traumatic dental injuries, offering clinicians a robust diagnostic and therapeutic decision-making framework. It addresses the complex challenges practitioners face, from initial emergency management to long-term rehabilitation. The book systematically explores critical aspects, including advanced diagnostic approaches, periodontal considerations, and innovative treatment modalities like socket-oriented tooth repositioning. This work bridges the gap between theoretical understanding and clinical application, offering evidence-based protocols that can be immediately implemented.
Demands of Expanding Populations and Development Planning : Clean Air, Safe Water, Fertile Soils
This book brings together three topics that interact to affect the quality of life on Earth. First, it examines expanding populations (and contracting ones) in regional and national contexts. Second, the book reviews the impacts of pollution on people, ecosystems and economic ventures.Third, the book asserts that well-planned development projects adhering to environmental laws and with best available technologies, will reduce ecosystem pollution yet yield strong profit margins.
Deepfake detection = اكتشاف التزييف العميق
In the rapidly evolving era of artificial intelligence, addressing the escalating threats of deepfake technology becomes a necessity because of the increasing sophistication of AI algorithms in generating deceptive content, and since it threatens the integrity of information across diverse data. The main objective is to build a sophisticated AI-driven system to detect different types of deepfake in text, audio, and images. In English text deepfake detection, multiple pre-trained tokenizers have been used, but XLNET and BERT stand out with identifying objects outside the dataset with an accuracy of 0.9809 and both have been generalized & trained using LSTM. In Arabic text deepfake detection, Arabert has been trained using LSTM which led with an accuracy of 99.53% by generalizing the model. Both English and Arabic datasets have been generated to enhance the accuracy and effectiveness of the models. Audio deepfake detection has been generalized too, using Random Forest with an accuracy of 98.259%.
Deep fake detection
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is “deepfake”. Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable.
Deep eutectic polvents : Synthesis, properties, and applications
Deep Eutectic Solvents contains a comprehensive review of the use of deep eutectic solvents (DESs) as an environmentally benign alternative reaction media for chemical transformations and processes. The contributors cover a range of topics including synthesis, structure, properties, toxicity and biodegradability of DESs. The book also explores myriad applications in various disciplines, such as organic synthesis and (bio)catalysis, electrochemistry, extraction, analytical chemistry, polymerizations, (nano)materials preparation, biomass processing, and gas adsorption.
Database Systems for Advanced Applications ; 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 13th International Conference on Database Systems for Advanced Applications, DASFAA 2008, held in New Delhi, India, in March 2008.
Database and Expert Systems Applications ; 19th International Conference, DEXA 2008, Turin, Italy, September 1-5, 2008. Proceedings
This book constitutes the refereed proceedings of the 19th International Conference on Database and Expert Systems Applications, DEXA 2008, held in Turin, Italy, in September 2008.
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 for economics and finance : Methodologies and applications
The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis.
