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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 and Interdisciplinary Research: Recent Trends and Applications
Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters this book showcases diverse models of machine learning communications signal processing and data analysis illustrating their relevance in various fields.
Key Themes:
Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries showcasing its potential to enhance weather forecasting.
Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data addressing the scalability of cloud computing and data analysis.
Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks emphasizing message authentication and data integrity.
Smart Irrigation 4.0: Details a decision model designed for smart irrigation integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture.
Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems contributing to the development of smart cities.
Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education shedding light on the role of technology in shaping modern learning environments.
Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities offering insights into the livelihoods and challenges they face.
Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals enhancing the accuracy of medical data analysis and diagnosis.
Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research particularly in the realm of gene identification using Next Generation Sequencing (NGS) data.
Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts demonstrating the potential of AI-driven diagnostics.
This volume bridges the gap between data science and interdisciplinary research making it a valuable resource for researchers academics and professionals seeking to leverage cutting-edge technologies for transformative applications.
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.
Degenerative Aortic Valve Disease, its Mechanism on Progression, its Effect on the Left Ventricle and the Postoperative Results
"Degenerative aortic valve disease is the most prominent cardiac valve disease in Western societies. This volume describes some of the more important issues and problems for this condition: its progressive character and the underlying mechanisms of this progression diagnostic difficulties 1) ascertainment of valvular origin of symptoms in elderly; 2) the challenge of the low output – low gradient syndrome; 3) moderate aortic valve calcification during CABG; 4) prediction of the rate of progression (who will need surgery on short term and who not). the burden on the left ventricle and its consequences (danger of postponement of surgery) the effect and the modalities (access types of valves) of surgical treatment on survival (and QoL) the mode of registering postoperative complications determining predictors for valve related non-valve related cardiac and non-cardiac postoperative complications. The e-book is a unique presentation specific to degenerative aortic valve disease and its treatment including information about ways to deal with the progressive character of the disease (autophagy as a mode of cell death). Cardiologists still avoid or delay referring patients to the surgeon for the sake of age left ventricular function or co-morbidity. Therefore the e-book benefits readers by addressing the above issue and providing critical information for changing referral policy which would ultimately enhance postoperative survival of patients suffering from heart valve disease."
Demystifying Emerging Trends in Green Technology
Emerging Trends in Computation Intelligence and Disruptive Technologies: Volume 3
Demystifying Emerging Trends in Green Technology explores the transformative intersection of computational intelligence disruptive technologies and green innovations. This volume offers insights into diverse fields such as blockchain IoT artificial intelligence machine learning and sustainable development. Each chapter presents cutting-edge research and practical solutions addressing environmental sustainability energy efficiency and eco-friendly technologies.
With contributions from leading researchers this book discusses advancements like blockchain-based security green marketing smart waste management sustainable agriculture and innovative healthcare solutions. It emphasizes the role of interdisciplinary approaches in driving a greener and smarter future.
Key Features:
- Integration of AI IoT and blockchain in sustainable systems
- Applications in healthcare agriculture energy and environmental science
- Practical and innovative solutions for real-world challenges
- Insights into future trends in green technology and disruptive innovation
Demystifying Emerging Trends in Machine Learning
Emerging Trends in Computation Intelligence and Disruptive Technologies: Volume 2
Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity E-commerce sentiment analysis public health and web content analysis.
The 49 chapters highlight a wide variety of machine learning methods including SVNs K-Means Clustering CNNs DCNNs among others. Each chapter includes accessible information through summaries discussions and reference lists. This comprehensive volume is essential for students researchers and professionals eager to understand the emerging trends reshaping machine learning today.
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.
Depression: A Silent Culprit in Health and Disease
Depression is considered as a complex problem with potentially serious economic consequences for affected individuals as well as public healthcare systems. There is much debate among laypersons patients academics and clinicians about the causes of depression its clinical significance and the effect of conventional medical interventions such as antidepressants. This monograph showcases some aspects of depression through specific reviews on some of the intricacies behind its mechanism. The book includes five reviews on the subject covering the significance of depression in patient well-being an update on P300 wave findings and the link with clinical depression the genomics behind depression the effects of ageing on the onset of depression in stroke patients and tensor imaging techniques used in studies on patients exhibiting suicidal behaviors as a result of major depressive disorder.
This reference provides useful updates for healthcare workers neuroscientists and behavioral scientists interested in basic research on depression and in planning to develop methods to study depression in either a clinical or laboratory setting
Dermatological Treatments
Dermatological treatments have changed continuously throughout recent decades. Old drugs are recognized as being effective in new indications and new methods of dosage or application have been reported. Novel drugs have also changed the therapeutic approach in numerous diseases improving patient health and quality of life. Conversely new adverse reactions drug interactions and unfamiliar risks have also increased. This e-book organizes information about different treatments available for treating dermatological conditions focusing on a practical approach and systematizing drug interactions adverse events and patterns of intake or application.
This e-book is comprised of 3 sections based on the way the treatment is applied: topical treatments systemic treatments and physical therapies. Topical therapy is probably the most important mode to treat diseases of skin releasing the active drug directly on the affected area. Both local and global effects can be achieved as well as different adverse reactions are sometimes obtained. Systemic treatments are important in dermatology in conditions affecting a huge surface or when a potent means of therapy is needed. Physical therapies are highly specific in nature with respect to skin diseases using different light sources combined with several substances to obtain the desired effect on epidermal structures. Every section contains several chapters dedicated to the different groups of drugs. Specific emphasis is given to the practical usage of each drug with comprehensive tables facilitating the information.
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.
Design of Analog Circuits through Symbolic Analysis
Symbolic analyzers have the potential to offer knowledge to sophomores as well as practitioners of analog circuit design. Actually they are an essential complement to numerical simulators since they provide insight into circuit behavior which numerical analyzers do not provide.
Symbolic analysis of electronic circuits addresses the generation of symbolic expressions for the parameters that describe the performance of linear and nonlinear circuits in three domains: DC AC and time; some or all the circuit parameters can be kept as symbols.
Due to the fact that these expressions remain valid during the change of component values (as long as models remain valid) designers can have both an insight into the behavior of the network and use the expressions to optimize the circuit’s performances.
This e-book presents details and exemplifies famous symbolic analysis techniques. Industrial R&D topics recent developments and future trends in the field of symbolic analysis are also highlighted. This makes the e-book a good resource for circuit analysis. Thus it is intended for students and researchers as well as for industry designers.
Development and Application of Biomedical Titanium Alloys
Titanium and its alloys have been widely used as biomedical implant materials due to their low density good mechanical properties superior corrosion resistance and biocompatibility when compared with other metallic biomaterials such as CoCr alloys and stainless steels. Recently β-type titanium alloys have been increasingly considered as excellent implant materials because of the remarkable combination of high strength-to-weight ratio good fatigue resistance relatively low Young's modulus good biocompatibility and high corrosion resistance relative to conventional titanium biomaterials.
This book covers recent information about biomedical titanium alloy development and 3D printing. Chapters describe the processing microstructure mechanical properties and corrosion properties in detail. Information about the surface modification of titanium alloys for biomedical applications and manufacturing of titanium alloys by new technologies (such as selective laser melting and electron beam melting) is also presented. Readers will learn about the various types of biomedical titanium alloys their advantages and disadvantages their fabrication methods and medical applications.
This book is a useful handbook for biomedical engineers metallurgists and biotechnicians seeking information about titanium-based alloys for biomaterials research and development.
Developmental and Stem Cell Biology in Health and Disease
Research into stem cells started in the 1960s with experiments on spleen cultures. Evans and Kaufman made a breakthrough in mouse embryo culturing and embryonic stem cell extraction in 1981 followed by the work of Thomson in 1998 on the technique for extracting human embryonic stem cells. Since then stem cell research has rapidly expanded as a therapeutic avenue for different diseases in humans. This book explains the basic developmental biology of stem cells including the development of stem cells during the implantation stage in utero to the regulation of stem cell division. Medical applications of stem cells in the therapy of diseases such as cancer neurodegenerative diseases and bone diseases are also explained in subsequent chapters. The book also explains the effect of parasitic cells on stem cell growth. Concepts in the book are explained in a simple clear manner making this book an informative reference for non-experts students and professionals in the field of biology and medicine.
Diabesity: A Multidisciplinary Approach
Diabesity refers to the linkage of both diabetes and obesity that results in the coexistence of these 2 conditions. Research has identified pathophysiological mechanisms revolving around insulin resistance and hyperinsulinemia. Diabesity has important diagnostic and therapeutic implications.
This book is a multidisciplinary review of diabesity. It highlights the various pharmacological methods of managing the condition.
The book presents 10 chapters contributed by more than 40 experts from around the world. The review starts with an overview of diabesity and progressively describes the relationships of diabesity with the choice of diets and psychological factors. The chapters then cover the role of adipokines as therapeutic biomarkers before presenting research on medicinal and nutritional approaches to treat the condition.
Modern approaches to diabesity treatment such as the use of new bioactive phytochemicals mitigating meta-inflammation and laboratory techniques are also reviewed in the book.
Diabesity: A Multidisciplinary Approach is a timely reference for clinicians (in endocrinology and family medicine subspecialties) and students of pharmacology and medicinal chemistry on the intricate relationship between diabetes and obesity.
Diabetes and the Eye: Latest Concepts and Practices
Diabetes and the Eye familiarizes the reader with the relationship between diabetes mellitus and the visual system. It presents a discussion about the diabetes epidemic and the many ways the disease can cause vision loss with several types of vision disorders covered in separate chapters. Information about new frontiers in the treatment of ophthalmic disorders is also presented to reflect the advances being made in the clinic.
Key features:
- presents detailed coverage of vision loss in diabetes in 12 organized and easy to read chapters
- includes a discussion on the diabetes epidemic
- covers a wide range of vision disorders of different parts of the eye
- includes information on current practices in eye care and management for diabetic patients
- includes information about relevant diagnostic tools
This book serves as a useful handbook for medical students residents in ophthalmology community and academic ophthalmologists as well as members of the internal medicine and family practice communities.
Diagnosis And Treatment In Rheumatology
Diagnosis and Treatment in Rheumatology is a clear and concise handbook of all rheumatic diseases. The book presents organized information about current diagnosis treatment and statistics (where available) of diseases such as rheumatoid arthritis spndyloarthropathies gout systemic lupus erythromatosis osteoarthritis myositis and much more. This reader friendly format and up to date information is easily accessible for rheumatology residents and medical students making the book an ideal reference for study and practice.
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.