الصفحة 35
الصفحة 35
Decision Making under Deep Uncertainty : From Theory to Practice
Focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them.
Deafness and hearing loss in newborns and children
Hearing loss is one of the most common disabilities and has lifelong consequences for affected children and their families. Consequences of hearing loss in children include worse outcomes in speech, language, education, social functioning, cognitive abilities, and quality of life. Both conductive and sensorineural hearing loss (SNHL) may be caused by a wide variety of congenital and acquired factors. Genetic causes including syndromic and nonsyndromic etiologies...
Database performance at scale: a practical guide
Optimizing database performance at the scale required for today’s data-intensive applications often requires more than performance tuning and scaling out. This book shares commonly overlooked considerations, pitfalls, and opportunities that have helped many teams break through database performance plateaus. It’s neither a definitive guide to distributed databases nor a beginner’s resource. Rather, it’s a look at the many different factors that impact performance, and our top field-tested recommendations for navigating them. Chapter 1 provides two (fun and fanciful) tales that surface some of the many roadblocks you might face and highlight the range of strategies for navigating around them.
Database Marketing : Analyzing and Managing Customers
Database marketing is at the crossroads of technology, business strategy, and customer relationship management. Enabled by sophisticated information and communication systems, today’s organizations have the capacity to analyze customer data to inform and enhance every facet of the enterprise—from branding and promotion campaigns to supply chain management to employee training to new product development. Based on decades of collective research, teaching, and application in the field, the authors present the most comprehensive treatment to date of database marketing, integrating theory and practice. Presenting rigorous models, methodologies, and techniques (including data collection, field testing, and predictive modeling), and illustrating them through dozens of examples, the authors cover the full spectrum of principles and topics related to database marketing.
Data visualization and analysis in second language research
This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages.
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.
Data mining : Concepts, models, methods, and algorithms ; 3rd ed.
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces. Explores big data and cloud computing Examines deep learning Includes information on convolutional neural networks (CNN) Offers reinforcement learning Contains semi-supervised learning and S3VM Reviews model evaluation for unbalanced data
Data Driven Methods for Civil Structural Health Monitoring and Resilience : Latest Developments and Applications
Provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications
Data Communications and networking
Helps students understand the basics of data communications and networking, and the protocols used in the Internet in particular by using the protocol layering of the Internet and TCP/IP protocol suite. Technologies related to data communication and networking may be the fastest growing in today's culture.
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.
DARPA Grand Challenge : The Great Robot Race
The goal of the new series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. The volume edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh presents a unique and extensive collection of the scientific results by the teams which took part into the DARPA Grand Challenge in October 2005 in the Nevada desert. This event reached an incredible peak of popularity in the media, the race of the century like someone called it! The Grand Challenge demonstrated the fast growing progress - ward the development of robotics technology, as it showed the feasibility of using mobile robots operating autonomously in real world scenarios.
Dail and Hammars Pulmonary Pathology : Vol. I: Nonneoplastic Lung Disease
Dail and Hammar’s Pulmonary Pathology has established itself as the definitive reference in the field. This authoritative reference work has been thoroughly updated to cover newly recognized entities and the latest advances in molecular diagnostic techniques.
Cybersecurity Law
Written by an experienced cybersecurity lawyer and law professor, the second edition includes new and expanded information that reflects the latest changes in laws and regulations. The book includes material on recent FTC data security consent decrees and data breach litigation.
Cybercrimes and financial crimes in the global era
Presents the latest and most relevant studies, surveys, and succinct reviews in the field of financial crimes and cybercrime, conducted and gathered by a group of top professionals, scholars, and researchers from China, India, Spain, Italy, Poland, Germany, and Russia. Focusing on the threats posed by and corresponding approaches to controlling financial crime and cybercrime, management.
Cyanobacterial Harmful Algal Blooms : State of the Science and Research Needs
Humans can be exposed to cyanobacterial toxins by drinking water that contains the toxins, swimming in water that contains high concentrations of cyanobacterial cells, or breathing air that contains cyanobacterial cells or toxins (while watering a lawn with contaminated water, for example). Health effects associated with exposure to high concentrations of cyanobacterial toxins include: - stomach and intestinal illness; -trouble breathing; - allergic responses; - skin irritation; - liver damage; and neurotoxic reactions, such as tingling fingers and toes. Scientists are exploring the human health effects associated with long-term exposure to low levels of cyanobacterial toxins. Some studies have suggested that such exposure could be associated with chronic illnesses, such as liver cancer and digestive-system cancer. This monograph contains the proceedings of the International Symposium on Cyanobacterial Harmful Algal Blooms held in Research Triangle Park, NC, September 6-10, 2005.
Cutting Tool Technology : Industrial Handbook
Cutting Tool Technology provides a comprehensive guide to the latest developments in the use of cutting tool technology. The book covers new machining and tooling topics such as high-speed and hard-part machining, near-dry and dry-machining strategies, multi-functional tooling, ‘diamond-like’ and ‘atomically-modified’ coatings, plus many others.
Curriculum Reform in the European Schools : Towards a 21st Century Vision
Examines the modern role of the European School system within the European Union, at a time when the global economy demands a new vision for contemporary education. The European schools are currently in a state of crisis: their 60-year-old tradition of bilingual and multilingual education is being strained by rapid EU expansion and the removal of English speaking teachers as a result of Brexit. Their tried and tested model of mathematics and science education has rapidly been overtaken by new developments in pedagogy and assessment research, while recruitment and retention of students and teachers has become increasingly fraught as European member states review what they are, and what they are not, prepared to fund. The authors draw on original and empirical research to assess the European Schools’ place in a new Europe where the entire post-war European Project is potentially at risk. This well-researched volume will be of interest to practitioners working in European schools as well as students and scholars of EU politics and international education.
Current trends and future directions in prosthetic and implant dentistry in the digital era
Covers the latest advances in the development and application of digital technologies in prosthetic and implant dentistry. We wish to provide both clinicians and researchers with a comprehensive and up-to-date source of information on current trends, limitations, and potential future applications of digital technologies in daily clinical practice.
Current News in Cardiology ; Proceedings of the Mediterranean Cardiology Meeting 2007 (Taormina May 20-22, 2007)
Aim of the volume is to give an overview of the state of the art on the emerging cardiac pathologies such as acute coronary syndromes, atrial fibrillation, sudden death, heart failure, global cardiovascular prevention and syncope. The volume chapters offer the latest information about epidemiology, pathophysiology, diagnosis and novel treatments of these pathologies.
Curcumin : clinical uses, health effects and potential complications
Curcumin is a natural product with polyphenolic structure. It is used in therapeutic remedies alone or in combination with other natural substances. Many researchers are investigating it because of its biological activities such as: anti-inflammatory, anti-cancer, anti-protozoal, anti-viral, anti-bacterial and has been found to be effective for treatment of Alzheimer, depression, headaches, fibromyalgia, leprosy, fever, menstrual problems, water retention, worms and kidney problems etc. It is an active ingredient in dietary spice, turmeric. It has reactive functional groups: a diketone moiety and two phenolic groups. Despite its unique biological activities, it suffers from some shortcomings which include: gastrointestinal problems, poor bioavailability due to its poor absorption, short half-life, poor solubility in aqueous solutions, rapid systemic elimination and antithrombotic activity which can interfere with blood clotting. The first chapter of this book reviews the different delivery systems used for incorporation of curcumin and its derivatives, release kinetics and up to date in vivo results. Chapter two discusses curcumin nano and microencapsulation and its implications on clinical uses.
