Bentham Science Publishers

Despite an increase in life expectancy over the past 20 years, the number of novel, multi-drug resistant microorganisms has also risen dramatically. To reduce the risk of reemerging infections, and limit the spread of multidrug resistant microorganisms, it is urgently necessary to develop safe and effective therapeutic countermeasures. New antimicrobial chemicals are mostly produced with the help of microorganisms, and the bulk of medications now on the market are of this type. The use of high therapeutic screening and recent developments in analytical instrumentation has allowed the researchers to identify novel antimicrobial compounds from bacteria, fungi, plants, mushrooms, algae, and other sources more quickly. The second volume of Frontiers in Antimicrobial Agents highlights the ongoing requirement for researching and creating novel antimicrobial medications. Current Trends in the Identification and Development of Antimicrobial Agents aims to bring together the expertise of notable academics to examine all facets of antimicrobial research while keeping recent advancements in perspective. Antibiotic discovery, sources of novel antimicrobial chemicals, developing and reemerging microbial infections, various elements of drug resistance, and the need for antimicrobial medications in the future are all covered in this book. It is a timely reference for anyone involved in the discovery and development of new drugs, including microbiologists, biotechnologists, pharmacologists, doctors, and researchers.

The book gives a comprehensive overview of the evolving landscape of cyber-physical systems (CPS) with a primary focus on security challenges and innovative solutions. CPS, encompassing a wide array of applications from e-Health to smart grid and industry automation, is explored in depth through eight edited reviews.

The book starts with an exploration of various threat detection and prevention techniques in IoT environments, followed by discussions on security in smart grid cyber-physical systems, and the integration of cyber-physical systems with game theory. It also covers important topics such as cyber-physical systems in healthcare, augmented reality challenges, network and computer forensic frameworks, and a review of industrial critical infrastructure perspectives.

The journey from traditional data warehouses to data lakes is thoroughly examined, shedding light on the evolution of data storage methods. The final chapter explains intrusion detection in industrial critical infrastructure, reviewing feature selection and classification models. By navigating through these topics, the book equips readers with a comprehensive understanding of cybersecurity challenges and solutions in an era of automation and IoT technologies.

This book is intended for a diverse readership, including professionals, researchers, and technology enthusiasts keen on exploring the intricacies of CPS, IoT security, data storage evolution, and industrial infrastructure protection.

Key Features:

-Analytical insights into cyber-physical systems security.

-Thorough exploration of threat detection and prevention techniques.

-Application-focused chapters covering smart grid, healthcare, and more.

-Integration of game theory and augmented reality in cyber-physical systems.

-Comprehensive overview on network and computer forensic frameworks.

DFT-Based Studies On Atomic Clusters explores the structures, properties, and applications of a variety of atomic clusters using density functional theory (DFT) methods to offer a simple and comprehensive explanation of the subject.

The book is organized into seven chapters. Chapter 1 introduces atomic clusters and provides a quick survey of density functional theory and its role in the study of atomic clusters. Chapter 2 discusses the optimization of atomic clusters using various algorithms. Chapters 3, 4, and 5 cover the applications of DFT methods on chemical interactions involving metal complexes and ions. Chapter 6 is devoted exclusively to molecular clusters for completeness. Chapter 7 concludes the book and provides a perspective on future directions on the subject.

Theoretical and practical concepts of DFT methods of the book are systematically and concisely presented with the help of clear language. Several illustrations in the form of graphics and tables are included for the benefit of readers.

This reference is intended as a guide for advanced graduate and doctorate level scholars, postdoctoral researchers, and faculty members who are required to understand the application of density functional theory for explaining the properties of atomic clusters as part of foundational coursework or supplementary reading.

Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.

This book is a detailed reference guide on deep learning and its applications. It aims to provide a basic understanding of deep learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by computer science academics and researchers. By the end of the book, the reader will become familiar with different deep learning approaches and models, and understand how to implement various deep learning algorithms using multiple frameworks and libraries. The second part is dedicated to sentiment analysis using deep learning and machine learning techniques. This book section covers the experimentation and application of deep learning techniques and architectures in real-world applications. It details the salient approaches, issues, and challenges in building ethically aligned machines. An approach inspired by traditional Eastern thought and wisdom is also presented. The final part covers artificial intelligence approaches used to explain the machine learning models that enhance transparency for the benefit of users. A review and detailed description of the use of knowledge graphs in generating explanations for black-box recommender systems and a review of ethical system design and a model for sustainable education is included in this section. An additional chapter demonstrates how a semi-supervised machine-learning technique can be used for cryptocurrency portfolio management. The book is a timely reference for academicians, professionals, researchers and students at engineering and medical institutions working on artificial intelligence applications.

This book is an essential guide to analysis and design of tall buildings and foundations. The book covers the basic consideration of tall buildings, selection of a suitable structural form, structural materials, and analytical methods for several types of construction loadings. The last chapter of this book presents an illustrated case study for learners. An appendix of different structural analysis calculations rounds up the book. The detailed analysis and learning material presented in the book is intended to enable readers to master the basics and understand how to execute practical civil engineering projects.

Key features:

- Covers the essentials of skyscraper design and construction in detail with a focus on learning.

- Covers building modelling parameters and criteria with design reports and computer inputs.

- Includes analysis and notes for foundation layout, loadings and the excavation and lateral support system (ELS).

- Includes more than 250 detailed illustrations of concepts, construction plans and photos from real projects.

- Includes references and appendices for advanced readers.

- Includes more details than most of the similar texts, with practical guidelines based on references from many buildings and foundation projects.

The authors have extensive research and practical experience of buildings and foundation analysis and design in Hong Kong, and have actively served as regional engineering committee members overseeing structural and foundation disciplines.

Diagnosis and Management of Fetal Disorders reviews key points in obstetrics/maternal fetal medicine imagery analysis of the pregnant uterus and its contents. Specifically, chapters cover ultrasound of different fetal organs, physiological systems and diseases. The authors also provide radiological correlation to help the obstetrician, pediatrician, radiologist, and other specialists know the basics and some more advanced concepts that will allow diagnosis of fetal abnormality, and what those findings mean to the patient and their families vis-a-vis the fetus in their pregnancy. It is ,therefore, a handbook that helps medical residents and professionals to assess cases in real-time or to review a given clinical problem. Key Features - 13 structured chapters covering key topics related to the ultrasound of different fetal organs, physiological systems and diseases - Evidence-based presentation through detailed images and references - Portability and practical information on general and differential diagnostics to consider in fetal and uterine examinations. - Useful information for medical and genetic counseling affected mothers and couples The book is intended for a broad readership in medicine including medical students, specialty trainees and attending physicians in obstetrics, pediatrics, radiology, and subspecialty trainees in maternal fetal medicine, neonatology, ultrasound imaging. Medical professionals in allied fields including sonography, family practice, and genetic counseling will also benefit from the information presented in the book.