الصفحة 13
الصفحة 13
Blockchains For Network Security : Principles, technologies and applications
Blockchain technology is a powerful, cost-effective method for network security. Essentially, it is a decentralized ledger for storing all committed transactions in trustless environments by integrating several core technologies such as cryptographic hash, digital signature and distributed consensus mechanisms. Over the past few years, blockchain technology has been used in a variety of network interaction systems such as smart contracts, public services, Internet of Things (IoT), social networks, reputation systems and security and financial services. With its widespread adoption, there has been increased focus on utilizing blockchain technologies to address network security concerns and vulnerabilities as well as understanding real-world security implications.
Biosaline Agriculture and Salinity Tolerance in Plants
This volume focuses on reclamation, management, and utilization of salt-affected soils, their sustainable use, and evaluation of plants inhabiting naturally occurring saline habitats. It is of interest to scientists and students as well as to agricultural institutions and farmers and will undoubtedly raise the scientific community's awareness of, and interest in salinity issues.
Bio-inspired credit risk analysis : Computational intelligence with support vector machines
Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.
Bioinformatics and systems biology : Collaborative research and resources
Collaborative research in bioinformatics and systems biology is a key element of modern biology and health research. This book highlights and provides access to many of the methods, environments, results and resources involved, including integral laboratory data generation and experimentation and clinical activities. Collaborative projects embody a research paradigm that connects many of the top scientists, institutions, their resources and research worldwide, resulting in first-class contributions to bioinformatics and systems biology. Central themes include describing processes and results in collaborative research projects using computational biology and providing a guide for researchers to access them. The book is also a practical guide on how science is managed. It shows how collaborative researchers are putting results together in a way accessible to the entire biomedical community.
Biodiversity Conservation and Phylogenetic Systematics : Preserving our evolutionary heritage in an extinction crisis
This book brings an updated state of the art of phylogenetic diversity in conservation biology. Nineteen chapters written by scientists from research institutions of fourteen countries demonstrate that approaches for preserving the evolutionary heritage are now very tuned into human impacts and sustainability issues. The questions, methods and applications around which it is organized show the importance of phylogenetic diversity in avoiding biodiversity losses in the present extinction crisis. They touch important points such as the way we value phylogenetic diversity, the importance of thinking at a much wider sample of the Tree of Life, the choice of adequate measures. In methods section, new solutions, such as dealing with abundances, sampling effort, or with information coming from conflicting phylogenetic trees are provided. Application section includes study cases of different groups of organi
Bioactive Molecules and Medicinal Plants
Use of medicinal plants is as old as human civilization and continuous efforts are being made to improve medicinal plants or produce their products in high amounts through various technologies. About 200,000 natural products of plant origin are known and many more are being identifed from higher plants and microorganisms. Some plant-based drugs have been used for centuries and there is no alternative medicine for many drugs, such as cardiac glycosides. However, natural products research was sidelined to pave the way for com- natorial chemistry, which was expected to produce large numbers of synthetic compounds for high-throughput screening (HTS). This line of work has failed to deliver desirable results. Moreover, it is not possible for all pharmaceutical companies and institutions to adopt costly HTS technology. Therefore, medi- nal plants and their bioactive molecules are always in demand and are a central point of research. While planning this book, we endeavored to incorporate - ticles that cover the entire gamut of current medicinal plants research.
Big Data Recommender Systems ; Vol.2 : Application Paradigms
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters
Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
Big data and artificial intelligence in digital finance : Increasing personalization and trust in digital finance using big data and AI
This book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data.
Big data analysis of nanoscience bibliometrics, patent, and funding data (2000-2019)
Presents an evaluation of nanotechnologies outputs (academic outputs and patents) and their impact from 2000-2019. The evaluation uses Elsevier’s Scopus (the largest abstract and citation database of peer-reviewed literature), SciVal (a scientific research analysis platform), Funding Institutional (a funding database), and PatentSight (a patent analysis platform). It covers four key topics regarding nanoscience research, including: 1) An overview of nano-related scholarly output, 2) Nanoscience and its contribution to basic science, 3) Nanoscience and its impact on and collaboration with industry partners, and 4) Key factors that promote the development of nanoscience.
Basic Science Techniques in Clinical Practice
Medical researchers including doctors, nurses, medical students and allied health professionals are required to undertake a period of research as part of their career pathway. Basic Science Techniques in Clinical Practice covers the main areas, allowing anyone to set up and complete research projects and this information can easily be translated to clinical projects. Written by international authors to provide a flavor from many institutions, the book’s appeal is cross-sectional, both at hospital and primary care levels worldwide.
Banks and shareholder value : An overview of bank valuation and empirical evidence on shareholder value for banks
In the German banking sector, management is continually increasing its focus on shareholder interests. This can be seen in the ambitious profitability targets set by management in this sector. Some municipalities are also putting increasing pressure on Landesbanks and saving banks, as members of the largest German banking group, to create greater financial value.
Banking on (artificial) intelligence : Navigating the realities of ai in financial services
Provides a tailored overview of what AI specifically means for financial services, a highly regulated yet also disrupted industry. it investigates the current state of AI applications in financial services today along with the state of funding and partnerships between tech and banking industries. it also examines the key pillars of responsible AI and the importance of keeping humans in the loop. the book takes a deep dive into the use cases in the financial services industry, the challenges and opportunities, and the fragmented regulatory landscape. how can we effectively assess risks, and balance innovation and customer centricity with trust in AI in financial services? can smaller organizations reap the benefits of the technology? how can institutions deploy AI responsibly and securely, and promote a fairer and more equitable future for more people?
Banking for Family Business: A New Challenge for Wealth Management
Hints of globalization have actually been around for several decades, even though they made only a modest impact; however, the availability of global capital and advances in communication technology have emp- sized the process of internationalization and the tools available to connect and integrate business activities to answer to more complex needs of c- ents. Moreover, the financial scandals and the review of mutual fund trade activity in the US by the Attorney General Elliot Spitzer have highlighted the importance to focus all efforts on renewing the confidence of prof- sional investors and their clients who have entrusted their capital to asset managers. Therefore, there is a growing need in the market to reinforce the concept of “Shared Positive Values” among the entire industry and among its stakeholders.
Automotive production systems and standardisation : From Ford to the case of Mercedes-Benz
The introduction of the Mercedes-Benz Production System (MPS) is exemplary of a trend within the automotive industry: the creation and introduction of company-specific standardised production systems. This book contributes to the debate about production systems by examining the social and economic implications of the role of standardisation in production systems. In this context it addresses three core issues: First, the driving forces behind the changing forms and functions of standardisation and the role of institutions therein. Second, the impact of standardisation on the evolution of automotive production systems. Third, based on the author's own empirical research conducted over a three year period at the Mercedes-Benz plant Stuttgart-Untertürkheim/Germany, the book examines the influence of standardisation on the work of actors on the shop floor in terms of organisational learning processes and the regulation of work.
Authoritative communities : The scientific case for nurturing the whole child
Authoritative Communities: The Scientific Case for Nurturing the Whole Child introduces innovative solutions based firmly in the children’s mental health and resilience literature and in the hypothesis that humans are "hardwired to connect." These "authoritative communities" consist of such individuals and institutions as parents, teachers, coaches, elders, and a variety of organizations that are committed to each other’s well-being over the long-term and who instill children with prosocial values such as empathy and compassion. Living within these communities enables children and youth to develop a consistent sense of purpose and meaning, so that they, in turn, are able to grow up to be responsible, productive, and nurturing adults.
Asset allocation and private markets : A guide to investing with private equity, private debt, and private real assets
Asset Allocation and Private Markets provides institutional investors, such as pension funds, insurance groups and family offices, with a single-volume authoritative resource on including private markets in strategic asset allocation. The discussion focuses on private equity, private debt and private real assets, and their correlation with other asset classes to establish optimized investment portfolios.
Assessing Quality in European Higher Education Institutions : Dissemination, Methods and Procedures
This book collects the evaluation and accreditation experiences gathered by higher education institutions in Finland, France, Germany, Italy, the Netherlands, Portugal, the United Kingdom and Sweden.
Asias New Institutional Architecture : Evolving Structures for Managing Trade, Financial, and Security Relations
This book investigates the origins and evolution of Asia’s new institutional architecture in trade, finance, and security from both a theoretical and empirical perspective. The traditional institutional equilibrium in Asia has come under heavy strain in the "post triple shocks period" - the post-Cold War, the post-financial crisis of 1997-98, and the post-9-11 attacks. The new dynamics of rivalry and cooperation among states at both the intraregional and transregional levels is now shaping a new institutional architecture. Political and business leaders from Northeast and Southeast Asia interact with each other more frequently. South Asia’s participation in the rest of Asia in recent years is truly impressive. As we show, the future institutional trajectory of Asia is still open, but we believe that the book provides a timely examination of key shifts in the region. In doing so, our hope is to provide policymakers and analysts with an institutional road map for the future.
Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
