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DFT Based Studies on Bioactive Molecules
This book is a guide for researchers academics and experimentalists who wish to explore density functional theory (DFT) on selected molecular systems. The salient features of the book include concise and complete coverage of DFT on biologically active molecules a basic guide to DFT for beginners followed by its computational application using a powerful Gaussian program. Subsequently discussions on synthetic compounds amino acids and natural products have been offered by the authors for the benefit of the reader. The book also features an exclusive chapter on the quantum theory of atoms in molecules and is supplemented by an appendix on the Gaussian output for methane.
Key Features:
· basic introduction of density functional theory
· practical introduction to Gaussian program
· interpretation of input and output files
· explanation of calculated parameters
· examples of several bioactive molecules (syenthetic and natural)
· correlation between theory and experiments
· exploration of the hydrogen bonds
· appendix covering Gaussian outputs for methane
· beginner friendly text
· references at the end of each chapter
DFT Based Studies on Bioactive Molecules is a suitable handbook for academics students and researchers who are learning the basic biophysics and computational chemistry of bioactive molecules with reference to DFT models.
DFT-Based Studies On Atomic Clusters
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
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.
Deep Learning for Healthcare Services
This book highlights the applications of deep learning algorithms in implementing big data and IoT enabled smart solutions to treat and care for terminally ill patients. It presents 5 concise chapters showing how these technologies can empower the conventional doctor patient relationship in a more dynamic transparent and personalized manner. The key topics covered in this book include: - The Role of Deep Learning in Healthcare Industry: Limitations - Generative Adversarial Networks for Deep Learning in Healthcare - The Role of Blockchain in the Healthcare Sector - Brain Tumor Detection Based on Different Deep Neural Networks Key features include a thorough research-based overview of technologies that can assist deep learning models in the healthcare sector including architecture and industrial scope. The book also presents a robust image processing model for brain tumor screening. Through this book the editors have attempted to combine numerous compelling views guidelines and frameworks. Healthcare industry professionals will understand how Deep Learning can improve health care service delivery.
Density Matrix Theories in Quantum Physics
In Density Matrix Theories in Quantum Physics the author explores new possibilities for the main quantities in quantum physics the statistical operator and the density matrix. The starting point in this exploration is the Lindblad equation for the statistical operator where the main element of influence on a system by its environment is the dissipative operator. Bondarev has developed the theory of the harmonic oscillator in which he finds the density matrix and proves the Heisenberg relation. Bondarev has written the dissipative diffusion and attenuation operators and proven the equivalence of the Wigner and FokkerPlanck equations using them. He further develops theories of the light-emitting diode and ball lightning. Bondarev also derives equations for the density matrix of a single particle and a system of identical particles. These equations have a remarkable property: when the density matrix has a diagonal shape they turn into a quantum kinetic equation for probability. Additional chapters in the book present new theories of experimentally discovered phenomena such as the step kinetics of bimolecular reactions in solids superconductivity superfluidity the energy spectrum of an arbitrary atom lasers spasers and graphene.
Density Matrix Theories in Quantum Physics is an informative reference for theoretical physicists interested in new theories on the subject of complex physical phenomena quantum theory and density matrices.
Design and Construction of Buildings and Foundations with Illustrative Examples
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
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.
Diagnostic Atlas of Retinal Diseases
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.
Diagnostic Atlas of Retinal Diseases
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 second volume of this set covers several choroid and retinal disorders including commotio retinae choroidal rupture and macular trauma retinal breaks and detachment and a variety of congenital / genetic eye diseases such as Bests disease and Stargardt disease. 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.
Differential and Integral Calculus Theory and Cases
Differential and Integral Calculus - Theory and Cases is a complete textbook designed to cover basic calculus at introductory college and undergraduate levels. Chapters provide information about calculus fundamentals and concepts including real numbers series functions limits continuity differentiation antidifferentiation (integration) and sequences. Readers will find a concise and clear study of calculus topics giving them a solid foundation of mathematical analysis using calculus. The knowledge and concepts presented in this book will equip students with the knowledge to immediately practice the learned calculus theory in practical situations encountered at advanced levels.
Key Features:
- Complete coverage of basic calculus including differentiation and integration
- Easy to read presentation suitable for students
- Information about functions and maps
- Case studies and exercises for practical learning with solutions
- Case studies and exercises for practical learning with solutions
- References for further reading
Digital Economy, Sustainability and International Economic Law
Current and Future Developments in Law: Volume 3
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.
Digital Innovation Adoption: Architectural Recommendations and Security Solutions
This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.
The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework detailing research methodology scalability and standards. Chapter 2 discusses cyber threats in IoT-connected cars addressing vulnerabilities attack methods and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally Chapter 7 examines the use of machine learning in credit card fraud detection discussing challenges and control layers.
Digital Transformation in Education: Emerging Markets and Opportunities
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.
Disease Prediction using Machine Learning, Deep Learning and Data Analytics
This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services highlighting the potential impact of technology on enhancing practices and outcomes.
The main features of the book include 1) referenced contributions from healthcare and data analytics experts 2) a broad range of topics that cover healthcare services and 3) demonstration of deep learning techniques for specific diseases.
Key topics:
- Federated learning in analysis of sensitive healthcare data while preserving privacy and security.
- Artificial intelligence for 3-D bone image reconstruction.
- Detection of disease severity and creating personalized treatment plans using machine learning and software tools
- Case studies for disease detection methods for different disease and conditions including dementia asthma eye diseases
- Brain-computer interfaces
- Data mining for standardized electronic health records
- Data collection management and analysis in epidemiological research
The book is a resource for learners and professionals in healthcare service training programs and health administration departments.
Diseases of Ornamental, Aromatic and Medicinal Plants
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.
Diverse Strategies for Catalytic Reactions
Diverse Strategies for Catalytic Reactions is a compelling exploration of catalysis a cornerstone in chemical sciences that has propelled the evolution of chemical manufacturing at the industrial scale.
Highlighting the distinctive characteristics of catalysis the book delves into pivotal topics and subfields. It underscores the revolutionary role catalysis plays in novel design synthesis and energy-efficient development while minimizing side products promoting atom economy and embracing green chemistry principles. The comprehensive contents of this book include an array of chapters by experts each addressing a specific catalytic approach such as recent advances in electrocatalysis nano-catalysis for selective oxidation micellar catalysis green catalysts and more. Each of the 7 book chapters includes a summary and list of references for a broad range of readers. Readers will understand the range of chemical engineering strategies that are used to speed up reactions and synthesize molecules of interest. With its rich insights and practical applications this book serves as an invaluable reference for graduate students researchers and professionals across academic and industrial domains.
Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model
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 Addiction Mechanisms in the Brain
Drug Addiction Mechanisms in the Brain explores the fascinating world of drug substances and their effects on the brain. This book provides a comprehensive overview of the ten major substances that contribute to drug addiction Information about each substance is presented in a specific chapter shedding light on their biochemical mechanisms and physiological effects. From the stimulating effects of cocaine to the sedative properties of heroin and the hallucinogenic experiences induced by LSD the book takes the reader through the intricate pathways of addiction. Other substances covered in the book include alcohol nicotine MDMA METH morphine ketamine and fentanyl. Readers will gain an understanding about neurochemical alterations in the brain Anyone looking for interesting knowledge about the addictive nature of common drugs and their complex interplay with the brain will find this book informative.
Drugs Sex, And Crime - Empirical Contributions
This book covers some recent researches on the interface between drug misuse and crime and demonstrates that some types of violent crimes are more intimately related to alcohol and / or drug consumption. It is written for researchers health and law professionals engaged in the evaluation management and treatment of different types of offenders. It is organized by a number of phenomena that are known (or supposed) to link drugs and crime. This book shows that the application of punishment under the guise of deterrence despite its ineffectiveness is frequently preferred to a more adequate management for some types of offenders. This book provides ten manuscripts that describe different aspects of the relationship between drugs and crimes always focusing on Brazilian reality. It shows that a partnership between specialized mental health professionals lawyers and policy makers is urgent with respect to this subject in Brazil and other countries.