Bentham Science Publishers

This 3 volume set offers a comprehensive compilation which presents detailed information about ophthalmic (retinal, vitreous and macular) diseases. Key features of this set include:

o Emphasis on practical features of clinical diagnosis

o Concise and didactic presentation of key manifestations of diseases designed for rapid reference and target recall

o A vast selection of illustrations to sharpen clinical problem-solving skills

o Step by step treatment approaches to enhance the reader's ability to handle medical cases

o Citations or relevant research articles in each chapter for further reading

The third volume of this set covers eye infections (bacterial and viral), inflammatory disorders and neoplasms. Written by a group of retina specialists, this book is an excellent resource for knowledge about retinal disorders. The streamlined format and evidence based medicine presented in the volume make this book the perfect reference for medical students, residents, general ophthalmologists and retina specialists.

This volume reviews issues that address the interconnection between digital economy, sustainability and international economic law. It covers a range of topics, including renewables subsidies, AI and corporate governance, digital currency, dispute resolution and new developments in trade law. The selection of chapters intends to illustrate how the digital economic, sustainable development goals and arrangements could influence and potentially shape international economic law, and how they are intertwined in an increasingly connected world. However, as the concepts of digital economy and sustainable development integrate unevenly into different fields of law, the selection focuses on some of the most visible influences in corporate and international trade law in Asia.

The chapters in this volume are written by eminent authorities who are devoted to the emerging multidisciplinary fields of international economic law. Contributions include structured sections with a concluding summary and reference list for the benefit of a broad range of readers.

This is a timely reference for legal scholars, practitioners and law students seeking updated and critical information from the perspective of an increasingly digital, and sustainability-focused global trade economy.

The widespread digitalization of all aspects of life, including the disruption caused by the Internet and the invasion by artificial intelligence, necessitates rethinking educational transformation processes. The broader purpose of the digital transformation of education is to develop an effective educational system that fits the needs of the digital economy and guarantees easy access to information for stakeholders in this sector.

Digital Transformation in Education: Emerging Markets and Opportunities provides a comprehensive understanding of the emergence and evolution of digital technologies and artificial intelligence in the field of education. It presents 12 reviews that shed light on the various advantages and drawbacks of digital technology along with the opportunities and markets that are emerging because of such a digital education transition. Each chapter is written by a group of distinguished contributors and presents a detailed literature review, methodology (where appropriate), discussion and reference list. The book content equips educators at all levels with essential information required to adapt to educational technology in order to improve teaching, student support and learning outcomes.

This book is an informative resource for post-graduate scholars, academics, policymakers, educators, and researchers in pedagogy, learning theory, digital learning, communication and education research.

Plant diseases in ornamental, aromatic and medicinal crops are common in occurrence, and account for up to 12-20% yield losses. Diseases of Ornamental, Aromatic and Medicinal Plants is a unique reference aimed to fulfil knowledge gaps on this subject. Nine chapters cover major diseases and nematode problems in important ornamental plants (cut flowers, potted flowers, flowering geophytes, and turfs), medicinal plants (tuberous and non-tuberous) and aromatic plants.

The book explains the etiology, symptoms, disease cycle, economic importance, distribution, and management of respective plants with advanced and sustainable approaches. The book is intended as a key resource for students, botanists and academics in plant science courses. It also serves as a quick guide for horticulture professionals and gardeners dealing with plant diseases and nematode infestations on premises.

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway.

As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations.

Key Features:

- Covers general concepts of Artificial intelligence and machine learning

- Explains the importance of dominant AI algorithms for business and AI research

- Provides information about 6 unique algorithmic pathways in the Throughput Model

- Provides information to create a roadmap towards building architectures that combine the strengths of the symbolic approaches for analyzing big data

- Explains how to understand the functions of an AI algorithm to solve problems and make good decisions

- informs managers who are interested in employing ethical and trustworthiness features in systems.

Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model is an informative reference for all professionals and scholars who are working on AI projects to solve a range of business and technical problems.

Drug Delivery Letters publishes short papers in all important aspects of drug delivery, gene delivery, and drug targeting. Short papers report seminal results and research approaching conclusion of importance in the field.

The journal scope covers all basic and applied research in drug delivery and targeting at molecular and cellular levels and novel delivery systems. The manuscript submission process is fully electronic , to ensure the rapid publication of research results.

Drug repurposing is a cost-effective method of discovering new treatments for diseases than traditional drug development methods. It involves virtual screening of chemical candidates with the aid of computational methods like molecular docking. Drug Repurposing against SARS-CoV2 focuses on current trends in drug repurposing against the novel coronavirus strains. The book aims to give readers an overview of drug repurposing against COVID-19 and various techniques involved in the process. The book consolidates available information on the pathophysiology, drug targets, and drug repurposing against COVID-19 into a single, convenient resource. Key features -An up-to-date compilation of the evidence that supports the drug repurposing for COVID-19. -How to use repurposing of available drugs for disease therapy. -Provides an improved understanding of pathophysiology and SARS-CoV2 viral entry pathways. - Provides references for further reading

Ecological Impacts of Toxic Chemicals presents a comprehensive, yet readable account of the known disturbances caused by all kinds of toxic chemicals on both aquatic and terrestrial ecosystems. Topics cover the sources of toxicants, their fate and distribution through the planet, their impacts on specific ecosystems, and their remediation by natural systems. Each chapter is written by well-known specialists in those areas, for the general public, students, and even scientists from outside this field. The book intends to raise awareness of the dangers of chemical pollution in a world dominated by industry and globalization of resources. Because the problems are widespread and far reaching, it is hoped that confronting the facts may prompt better management practices at industrial, agricultural and all levels of management, from local to governmental, so as to reduce the negative impacts of chemical contaminants on our planet.

Elements Of Clinical Study Design, Biostatistics & Research is designed as a toolbox for biomedical researchers. The book's primary focus is on applications in clinical research, and will benefit students and researchers involved in the biomedical field. This book addresses the problems that many practitioners experience in choosing and implementing fit-for-purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is written in simple language avoiding complex derivations and mathematical formulae allowing it to explain the most basic concepts of research methodology. Making good use of numerous tables, graphs and tips, this book demystifies the process for readers.

7 structured Chapters take the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate, and multivariable analysis, and publishing the results. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. An appendix on ethical research guidelines, along with a glossary and reference list comprehensively round up the book contents.

It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of studies. The book's balanced set of homework assignments and in-class exercises are appropriate for students and researchers in the areas of biostatistics, epidemiology, medicine, pharmacy, and public health.