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 Management and Security in Blockchain Systems offers a comprehensive exploration of how blockchain technology is reshaping the landscape of data management and security. This book addresses key aspects of blockchain-based systems including data integrity transparency and tamper resistance making it an essential resource for students researchers and professionals.

Covering topics from blockchain-enabled IoT traffic management to the integration of AI for enhanced security this book presents solutions to current challenges such as cyberattacks smart grid security and scalable network designs. Each chapter is thoughtfully structured to provide readers with a solid understanding of blockchain applications in diverse domains. Perfect for those seeking to understand blockchain's potential to secure and manage data in an increasingly interconnected world.

Key Features:

- Comprehensive overview of data management and security in blockchain networks.

- Practical insights into IoT smart grids and AI integration.

- In-depth analysis of cybersecurity challenges and solutions.

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.

Decolorization by Thanatephorus cucumeris Dec 1 explores the innovative use of the newly isolated fungal strain Dec1 in the biodegradation of recalcitrant colored substances produced by various industries. The book details the purification and characterization of key enzymes responsible for Dec1's activity including peroxidases aryl alcohol oxidase and the newly discovered TcVP1. It highlights the successful cloning and high-yield production of recombinant DyP (rDyP) through a transformed Aspergillus oryzae as well as the development of an optimized immobilization and H2O2 supply system to prevent rDyP inactivation.

The application of Thanatephorus cucumeris Dec 1 in treating kraft pulp bleaching effluent is discussed demonstrating its effectiveness in removing colored substances and chlorinated organic compounds. This book is an essential resource for students tackling environmental challenges and engineers focused on innovative microbial solutions for the treatment of colored industrial effluents.

"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 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.

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

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.

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 Co–Cr 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.

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.