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Bentham Science Publishers
Bentham Science Publishers is a major publisher of more than 100 peer-reviewed science, technology and medical (STM) journals, along with a rapidly growing collection of eBooks. Since 1993, Bentham Science Publishers has been catering to the information needs of the pharmaceutical, engineering, biomedical and medical research community.301 - 350 of 812 results
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Current Tissue Engineering (Discontinued)
CURRENT TISSUE ENGINEERING is an international peer-reviewed journal, which publishes expert reviews, original research articles, drug clinical trial studies and thematic issues in all areas of tissue engineering research. The scope includes, scaffold materials and synthesis, assembly methods, tissue culture and regeneration, artificial organs, bioreactors, and stem cells.
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Current Topics in Chemistry
Formerly as Current Chinese Chemistry
Current Topics in Chemistry publishes original research articles, letters, reviews/mini-reviews, and guest-edited thematic issues dealing with various topics related to chemistry.
Current Topics in Chemistry journal is not limited to a specific aspect of the field but is instead devoted to a wide range of subfields. Articles of a multi-disciplinary nature are particularly welcome. Submissions in the following areas are of special interest to the readers of this journal:- Analytical Chemistry
- Applied Chemistry
- Bioanalytical chemistry
- Biochemistry
- Bioelectrochemistry
- Bioinorganic Chemistry
- Bioorganic Chemistry
- Carbohydrate Chemistry
- Electrochemistry
- Environmental Chemistry
- Geochemistry
- Green Chemistry
- Inorganic Chemistry
- Materials Chemistry
- Medicinal Chemistry
- Nanotechnology
- Nuclear Chemistry
- Organic Chemistry
- Organometallic Chemistry
- Photochemistry
- Physical Chemistry
- Phytochemistry
- Polymer chemistry
- Protein and Peptide Chemistry
- Quantum Chemistry
- Spectroscopy
- Supramolecular Chemistry
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Current Topics in Medicinal Chemistry
Current Topics in Medicinal Chemistry is a forum for the review of areas of keen and topical interest to medicinal chemists and others in the allied disciplines. Each issue is solely devoted to in-depth mini-reviews/ research and guest-edited reviews/ research which provide the reader with a comprehensive survey of that respective area. A Guest Editor who is an expert in the topic under review will assemble each issue. The scope of Current Topics in Medicinal Chemistry will cover all areas of medicinal chemistry, including current developments in rational drug design, synthetic chemistry, bioorganic chemistry, high-throughput screening, combinatorial chemistry, compound diversity measurements, drug absorption, drug distribution, metabolism, new and emerging drug targets, natural products, pharmacogenomics, and structure-activity relationships. Medicinal chemistry is a rapidly maturing discipline. Understanding the relationship between structure and function is crucial to understand the molecular basis of life. Current Topics in Medicinal Chemistry aims to contribute to the growth of scientific knowledge and insight and facilitate the discovery and development of new therapeutic agents to treat debilitating human disorders. The journal is essential for every medicinal chemist who wishes to be informed and up-to-date with the latest and most important advances.
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Current Trends in the Identification and Development of Antimicrobial Agents
Frontiers in Antimicrobial Agents: Volume 2
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.
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Current Vascular Pharmacology
Vascular disease is the commonest cause of death in Westernized countries and its incidence is on the increase in developing countries. It follows that considerable research is directed at establishing effective treatment for acute vascular events. Long-term treatment has also received considerable attention (e.g. for symptomatic relief). Furthermore, effective prevention, whether primary or secondary, is backed by the findings of several landmark trials.
Vascular disease is a complex field with primary care physicians and nurse practitioners as well as several specialties involved. The latter include cardiology, vascular and cardio thoracic surgery, general medicine, radiology, clinical pharmacology and neurology (stroke units). Current Vascular Pharmacology will publish reviews to update all those concerned with the treatment of vascular disease. For example, reviews commenting on recently published trials or new drugs will be included. In addition to clinically relevant topics we will consider 'research-based' reviews dealing with future developments and potential drug targets. Therefore, another function of Current Vascular Pharmacology is to bridge the gap between clinical practice and ongoing research.
Debates will also be encouraged in the correspondence section of this journal.
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Current Women's Health Reviews
Current Women's Health Reviews publishes frontier reviews on all the latest advances on obstetrics and gynecology. The journal's aim is to publish the highest quality review articles dedicated to research in the field. The journal is essential reading for all clinicians and researchers in the fields of obstetrics and gynecology.
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Cyber Forensics and Investigation on Smart Devices
This book offers comprehensive insights into digital forensics, guiding readers through analysis methods and security assessments. Expert contributors cover a range of forensic investigations on computer devices, making it an essential resource for professionals, scholars, and students alike.
Chapter 1 explores smart home forensics, detailing IoT forensic analysis and examination of different smart home devices. Chapter 2 provides an extensive guide to digital forensics, covering its origin, objectives, tools, challenges, and legal considerations. Chapter 3 focuses on cyber forensics, including secure chat application values and experimentation. Chapter 4 delves into browser analysis and exploitation techniques, while Chapter 5 discusses data recovery from water-damaged Android phones with methods and case studies. Finally, Chapter 6 presents a machine learning approach for detecting ransomware threats in healthcare systems.
With a reader-friendly format and practical case studies, this book equips readers with essential knowledge for cybersecurity services and operations.
Key Features:
1.Integrates research from various fields (IoT, Big Data, AI, and Blockchain) to explain smart device security.
2.Uncovers innovative features of cyber forensics and smart devices.
3.Harmonizes theoretical and practical aspects of cybersecurity.
4.Includes chapter summaries and key concepts for easy revision.
5.Offers references for further study.
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Cyber Physical Systems - Advances and Applications
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.
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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.
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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.
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Data Science and Interdisciplinary Research: Recent Trends and Applications
Advances in Computing Communications and Informatics: Volume 5
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.
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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.
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Deep Learning for Healthcare Services
IoT and Big Data Analytics: Volume 2
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.
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Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing
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.
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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.
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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.
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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.
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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.
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Diagnostic Atlas of Retinal Diseases
Ophthalmology: Current and Future Developments: Volume 2
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.
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Diagnostic Atlas of Retinal Diseases
Ophthalmology: Current and Future Developments: Volume 3
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.
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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
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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.
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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.
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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.
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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.
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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.
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Diverse Strategies for Catalytic Reactions
Catalysis: Current and Future Developments: Volume 2
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.
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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.
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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.
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Drug Delivery Letters
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.
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Drug Metabolism Letters
(Continued as Drug Metabolism and Bioanalysis Letters)
Drug Metabolism Letters publishes short papers on major advances in all areas of drug metabolism and disposition. The emphasis will be on publishing quality papers very rapidly. Letters will be processed rapidly by taking full advantage of the Internet technology for both the submission and review of manuscripts. The journal covers the following areas:
In vitro systems including CYP-450; enzyme induction and inhibition; drug-drug interactions and enzyme kinetics; pharmacokinetics, toxicokinetics, species scaling and extrapolations; P-glycoprotein and transport carriers; target organ toxicity and interindividual variability; drug metabolism and disposition studies; extrahepatic metabolism; phase I and phase II metabolism; recent developments for the identification of drug metabolites, reactive intermediate and glutathione conjugates.
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Drug Metabolism and Bioanalysis Letters Formerly: Drug Metabolism Letters
Drug Metabolism and Bioanalysis Letters publishes letters, original research articles, mini-reviews, thematic issues based on mini-reviews and letters, commentaries, technical notes and drug clinical trial studies on major advances in all areas of drug metabolism and bioanalysis.
In vitro systems including CYP-450; enzyme induction and inhibition; drug-drug interactions and enzyme kinetics; pharmacokinetics, toxicokinetics, species scaling and extrapolations; P-glycoprotein and transport carriers; target organ toxicity and interindividual variability; drug metabolism and disposition studies; extrahepatic metabolism; phase I and phase II metabolism; bioactivation; recent developments for the identification of drug metabolites, reactive intermediate and glutathione conjugates. LC/MS and other key detection methods, including ligand binding assays, sample preparation, chromatography and separation sciences, method development and validation with applications in drug and metabolite assays, pharmacokinetic/toxicokinetic assays, biomarker assays, immunogenicity assays, diagnostic assays.
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Drug Repurposing Against SARS-CoV2
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
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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.
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Ecological Impacts of Toxic Chemicals
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.
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Electrochemical Biosensors in Practice: Material and Methods
A biosensor is an integrated receptor-transducer device that converts a biological response into an electrical signal. The design and development of biosensors have taken center stage for researchers or scientists in the recent decade owing to the wide range of biosensor applications in healthcare and disease diagnosis, environmental monitoring, water and food quality, and drug delivery. Due to their adaptability, ease of use in relatively complex samples, and portability, the significance of electrochemical biosensors in analytical chemistry has increased manifold. Electrochemistry has been pivotal in developing transduction methods for biological processes and biosensors. In parallel, the explosion of activity in nanoscience and nanotechnology and their huge success have profoundly affected biosensor technology, opening new avenues of research for electrode materials and transduction.
Electrochemical Biosensors in Practice: Material and Methods particularly explores the use of silver and gold nanoparticles for signal amplification, photocurrent transduction, and aptamer design. Therefore, the book serves as an introductory text for those specializing in biosensors and bioelectronics and their practical applications.
Key features
Includes structured information for easy understanding of the subject
Provides an introduction to biosensors and electrochemical biosensor classification
Explains fundamental concepts and practical electrochemistry techniques for research
Provides notes on essential electrochemical sensor materials such as graphene, carbon nanotubes, conductive polymers, and other advanced materials
Provides information about electrochemical biosensor development
Informs readers about recent applications and research findings
Includes references for further reading
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Elements of Clinical Study Design, Biostatistics & Research
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.
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Emerging Approaches to Tackle Neglected Diseases: From Molecule to End Product
This reference provides an update on current therapies to treat neglected diseases, a class of diseases that primarily affect tropical regions where investment in research and development is limited.
The book starts with an introduction to neglected diseases followed by reviews of therapeutic strategies to overcome the impact of neglected diseases. This is followed by updated information for handling leprosy, dengue, lymphatic filariasis, dracunculiasis, helminthiasis, Chagas’ disease, neurocysticercosis, leishmaniasis, rabies, trematodiasis, buruli ulcer and trachoma in 10 focused chapters, respectively. The chapters provide information on disease mechanism, transmission and management protocols, along with scientific references. The book serves as a resource for healthcare professionals, and scholars who need a detailed understanding of these infectious diseases.
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Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post COVID-19 Landscape
Advances in Data Science Driven Technologies: Volume 1
This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand.
Chapters cover the following topics:
- A COVID-19 care system for virus precaution, prevention, and treatment
- The Internet of Things (IoT) in Telemedicine,
- Artificial Intelligence for Remote Patient Monitoring systems
- Machine Learning in Telemedicine
- Convolutional Neural Networks for the detection and prediction of melanoma in skin lesions
- COVID-19 virus contact tracing via mobile apps
- IoT and Cloud convergence in healthcare
- Lung cancer classification and detection using deep learning
- Telemedicine in India
This book will assist students, academics, and medical professionals in learning about cutting-edge telemedicine technologies. It will also inform beginner researchers in medicine about upcoming trends, problems, and future research paths in telehealth and telemedicine for infectious disease control and cancer diagnosis.
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Emerging Technologies and Applications for a Smart and Sustainable World
This reference distills information about emerging technologies and applications for smart city design and sustainable urban planning. Chapters present technology use-cases that have radical novelty and high scalability with a prominent impact on community living standards. These technologies prepare urban and rural dwellings for the transformation to the smart world.
Applications and techniques highlighted in the book use a combination of artificial intelligence and IoT technologies in areas like transportation, energy, healthcare, education, governance, and manufacturing, to name a few.
The book serves as a learning resource for smart city design and sustainable infrastructure planning. Scholars and professionals who are interested in understanding ways for transforming communities into smart communities can also benefit from the cases presented in the book.
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Emerging Technologies for Digital Infrastructure Development
Emerging Technologies for Digital Infrastructure Development is a comprehensive and insightful book that reviews the transformative impact of cutting-edge technologies on the digital landscape. It presents 16 topics, from e-commerce consumer behavior to AI applications in healthcare and cybersecurity, this book offers a detailed overview of the role of technology in shaping the modern world. With a focus on bridging the digital divide in education, the book presents innovative solutions to contemporary challenges. The editors also emphasize the importance of privacy and security in an interconnected world by discussing cybersecurity measures and threat detection strategies. The book serves as a valuable resource for technology professionals, researchers, and academics, offering a deep dive into the latest trends and applications in digital infrastructure. It also caters to business leaders, policy makers, and students seeking to understand the transformative potential of emerging technologies.
Key technologies highlighted in the book include machine learning and AI models, IoT, data analytics, recommendation systems and e-learning systems. Applications of these technologies are demonstrated for healthcare, e-commerce, cybersecurity, aviation and education sectors. Emerging Technologies for Digital Infrastructure Development offers insights and solutions that pave the way for a secure, efficient, and inclusive digital future.
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Emerging Technologies in Agriculture and Food Science
Cultivators and livestock farmers are increasingly arranging innovative technical and scientific estimations with the aim to enhance agricultural sustainability, effectiveness, and plant health. Innovative farming technologies incorporate biology with smart technology (computers and sensor devices) exchanging information with one another autonomously in a structured farm management system.
This book presents reviews on innovative techniques and methodologies to complement conventional plant control and breeding attempts toward enhancing crop yield and production. Reviews covered in this volume include:
-Active compounds from pomegranate seeds
-Application of Enterococci and their bacteriocins for meat biopreservation
-Technological advancement in the detection and identification of plant pathogens
-Machine learning for precision agriculture
-Use of remote sensing technology and geographic information systems for agriculture and
environmental observation
The information presented in this volume will provide helpful updates for students, technology experts and professionals in the food security and sustainable agriculture sectors.
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Emerging Trends in Veterinary Virology
Advances in biochemistry, molecular biology, virology, and structural biology have enabled the researchers in veterinary medicine to make many exciting discoveries that have, in some cases, conceptually revolutionized our understanding of the discipline.
Emerging Trends in Veterinary Virology is a review of selected topics about viral infections in animals. 11 chapters cover recent findings about specific viruses that infect a variety of hosts. The contents cover several types of veterinary infections in birds (Infectious laryngotracheitis (ILT), avian leucosis), cats (feline rabies), dogs (canine distemper), bovines (viral leukemia) and equines (hendra virus disease). Additionally, special topics such as the epidemiology of veterinary zoonoses and SARS are also covered.
The book provides updated information for researchers (virologists, microbiologists), students and veterinarians, alike.
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Emerging Water Pollutants: Concerns and Remediation Technologies
This book examines a wide range of emerging sources off water pollution. It consists of thirteen chapters dedicated to the topic, giving readers comprehensive information about the types of materials involved and the solution for their removal.
The first five chapters present an analysis of the emerging water pollutants, their toxicities, legislations available to monitor and regulate their emissions. This introduction is followed by 3 chapters that cover risk assessment of emerging pollutants, their fate and life cycle assessment. The last section of the book goes through the details of remediation technologies for wastewater treatment.
This reference is equally suitable for academia, industry professionals and students, presenting state-of-the-art learnings on emerging water pollutants and their remediation methods.
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Endocrine, Metabolic & Immune Disorders-Drug Targets (Formerly Current Drug Targets - Immune, Endocrine & Metabolic Disorders)
This journal is devoted to full-length/ mini-reviews and original articles based on experimental and clinical studies in the field of endocrine, metabolic, and immune disorders. Specific emphasis is placed on humoral and cellular targets for natural, synthetic, and genetically engineered drugs that enhance or impair endocrine, metabolic, and immune parameters and functions. Moreover, the topics related to the effects of food components and/or nutraceuticals on the endocrine-metabolic-immune axis and on microbiome composition are welcome. The journal’s scope also covers neuroendocrinology, reproductive endocrinology, hormone secretion, and their effects on different organs.
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Environmental Law in the Russian Federation
Environmental Law in the Russian Federation presents a comprehensive textbook on the current state of environmental legislation of the Russian Federation. The textbook is divided into three sections that are ordered for an increasing level of specialization in the subject.
- The first section (General Part) gives a definition of environmental law, formulates its principles and considers the sources of environmental law and legal relations. Readers will learn about the issues related to the ownership of natural resources, the legal framework and specifics of environmental protection and management, and associated human and civil rights. The distinguishing features of economic regulation in the area of environmental protection as well as issues of responsibility for environmental offenses are also covered.
- The second section (Special Part) sets forth the main environmental requirements for certain types of economic and other human activities and the specifics of environmental protection in areas with a special environmental legal regime (specially protected areas and ecological disaster zones). Chapters in this section consider the main areas of protection of certain natural objects (water, forests, land, etc.).
- The third section (Specialized Part) clarifies the main areas of international cooperation in the field of environmental protection and considers the main characteristics of the environmental protection experience of other countries.
The textbook is an essential reference for law and business students in Russian schools. It is also of interest to entrepreneurs planning ventures in Russia and researchers involved in comparative legal analysis.
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Environmental Microbiology: Advanced Research and Multidisciplinary Applications
Environmental Microbiology: Advanced Research and Multidisciplinary Applications focus on the current research on microorganisms in the environment. Contributions in the volume cover several aspects of applied microbial research, basic research on microbial ecology and molecular genetics.
The reader will find a collection of topics with theoretical and practical value, allowing them to connect environmental microbiology to a variety of subjects in life sciences, ecology, and environmental science topics. Advanced topics including biogeochemical cycling, microbial biosensors, bioremediation, application of microbial biofilms in bioremediation, application of microbial surfactants, microbes for mining and metallurgical operations, valorization of waste, and biodegradation of aromatic waste, microbial communication, nutrient cycling and biotransformation are also covered.
The content is designed for advanced undergraduate students, graduate students, and environmental professionals, with a comprehensive and up-to-date discussion of environmental microbiology as a discipline that has greatly expanded in scope and interest over the past several decades.
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