Neelam Sharma – författare

Targeting Angiogenesis, Inflammation and Oxidative Stress in Chronic Diseases presents recent advances in the vivid molecular pathways targeting angiogenesis, inflammation, and oxidative stress that contribute very widely to the genesis of chronic diseases. The books highlights drugs from natural and synthetic origins in the management/prevention/treatment of diseases, along with the drug delivery approaches. The book's authors from various key institutions around the globe deliver well-structured and designed chapters. The systematic presented information and knowledge will surely aid consistency and continuity. The multifaceted book is enriched with deep scientific content. Each chapter clearly defines the facts, the emerging role of molecular pathways, and targets and focus, along with key challenges and future directions that will provide new areas for researchers to explore new targets in the domain.Focuses on the pathogenesis of the disease, along with the molecular mechanism of actionIncludes updates on strategic design/delivery of drugs targeting angiogenesis, inflammation, and oxidative stressProvides recent advancements in the field of pathogenesis of chronic diseases

Targeting Angiogenesis, Inflammation and Oxidative Stress in Chronic Diseases presents recent advances in the vivid molecular pathways targeting angiogenesis, inflammation and oxidative stress that contribute very widely to the genesis of chronic diseases. The books will also highlight the drugs from natural and synthetic origin in the management/prevention/treatment of diseases along with the drug delivery approaches. The book''s authors from various key institutions around the globe will deliver well-structured and well-designed chapters. The systematic presented information and knowledge will surely aid consistency and continuity. The multifaceted book is enriched with deep scientific contents. Each chapter will clearly define the facts, emerging role of molecular pathways and the targets and focus will be imparted on key challenges associated and the future directions that will provide torch bearer thing for the researchers to explore new targets in the domain.- Focuses on the pathogenesis of the disease, along with the molecular mechanism of action- Includes updates on strategic design/delivery of drugs targeting angiogenesis, inflammation, and oxidative stress- Provides recent advancements in the field of pathogenesis of chronic diseases

Emerging Trends in Cancer Pharmacology: From Molecular Targets to Personalized Medicine gives readers a comprehensive and up-to-date resource on the latest developments and trends in the field of cancer pharmacology. It serves as a valuable reference for researchers, scientists, clinicians, and other professionals involved in cancer research, pharmacology, oncology, and personalized medicine. In recent years, there have been significant breakthroughs in understanding the molecular mechanisms of cancer and the development of targeted therapies. Additionally, personalized medicine has emerged as a promising approach to tailor treatments based on an individual's genetic profile, tumor characteristics, and other factors. These developments have the potential to revolutionize cancer treatment and improve patient outcomes. This book covers such developments.Provides a comprehensive overview of emerging trends in cancer pharmacology, offering readers the opportunity to stay up-to-dateServes as a valuable resource for understanding molecular targets and personalized medicine approaches in cancer pharmacologyProvides insights into new avenues for drug discovery, development, and optimization, thereby facilitating more targeted and effective therapies

Emerging Trends in Cancer Pharmacology: From Molecular Targets to Personalized Medicine gives readers a comprehensive and up-to-date resource on the latest developments and trends in the field of cancer pharmacology. It serves as a valuable reference for researchers, scientists, clinicians, and other professionals involved in cancer research, pharmacology, oncology, and personalized medicine. In recent years, there have been significant breakthroughs in understanding the molecular mechanisms of cancer and the development of targeted therapies. Additionally, personalized medicine has emerged as a promising approach to tailor treatments based on an individual's genetic profile, tumor characteristics, and other factors. These developments have the potential to revolutionize cancer treatment and improve patient outcomes. This book covers such developments. - Provides a comprehensive overview of emerging trends in cancer pharmacology, offering readers the opportunity to stay up-to-date- Serves as a valuable resource for understanding molecular targets and personalized medicine approaches in cancer pharmacology- Provides insights into new avenues for drug discovery, development, and optimization, thereby facilitating more targeted and effective therapies

This insightful volume opens new horizons for exploring modern therapeutic entities and emerging targets for combating the deadly disease of cancer. The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies, that can be utilized for the treatment of metastatic diseases. The chapters look at specific approaches that have been researched and developed and that have almost reached the standardization stage, such as intracellular mechanisms, particularly phosphoprotein-enriched astrocytes and transthyretin proteins; CXCR4; autophagy-inhibiting drugs; spatiotemporal genetic analysis; tyrosine kinase inhibitors; and more. Also considered are advances in diagnostic systems like intra vital microscopy and molecular imaging.

This insightful volume opens new horizons for exploring modern therapeutic entities and emerging targets for combating the deadly disease of cancer. The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies, that can be utilized for the treatment of metastatic diseases. The chapters look at specific approaches that have been researched and developed and that have almost reached the standardization stage, such as intracellular mechanisms, particularly phosphoprotein-enriched astrocytes and transthyretin proteins; CXCR4; autophagy-inhibiting drugs; spatiotemporal genetic analysis; tyrosine kinase inhibitors; and more. Also considered are advances in diagnostic systems like intra vital microscopy and molecular imaging.

This new book explores emerging new technologies for the development of business and finance sectors, to strengthen economic growth, and to facilitate the efficiency and creation of new and innovative business and finance management applications. The book covers state-of-the-art technologies such as artificial intelligence and big data analytics in fintech and finance, blockchain technology in the insurance industry, the use of AI and data science in tax administration, the growing use of 6G in industrial automation, quantum machine learning in finance, the merging of AI and blockchain in auditing, and more. Chapters explore the collaboration between humans and machines, the application of data science and artificial intelligence in the retail sector, and AI and data science in business services with a focus on enhancing efficiency and driving innovation.

This new book explores emerging new technologies for the development of business and finance sectors, to strengthen economic growth, and to facilitate the efficiency and creation of new and innovative business and finance management applications. The book covers state-of-the-art technologies such as artificial intelligence and big data analytics in fintech and finance, blockchain technology in the insurance industry, the use of AI and data science in tax administration, the growing use of 6G in industrial automation, quantum machine learning in finance, the merging of AI and blockchain in auditing, and more. Chapters explore the collaboration between humans and machines, the application of data science and artificial intelligence in the retail sector, and AI and data science in business services with a focus on enhancing efficiency and driving innovation.

Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world.The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines.Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature.These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.

Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world.

The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines.

Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature.

These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.

Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world.

The book explores advanced computing, or machine intelligence, which enables technology—machines, devices, or algorithms—to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines.

Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature.

These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.

Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence. The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation. Readers will find the book: Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions;Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing;Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management;Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges;Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation.Audience Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.

Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence. The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation. Readers will find the book: Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions; Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing; Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management; Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges; Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation. Audience Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.

Transform your approach to technology and sustainability with this comprehensive guide to green computing and computational intelligence. The global pursuit of sustainability has placed an urgent emphasis on developing innovative and eco-friendly technological solutions. Green computing has the potential to revolutionize the way we evaluate sustainability with the use of energy-efficient algorithms for resource optimization, sustainable hardware design, and smart resource management. Recognizing the intersection of computational intelligence and environmental stewardship, this book seeks to address the pressing challenges of integrating green practices into the realm of computational intelligence and aligning them with global sustainable development goals. Through global expertise from researchers and industry professionals, this book comprehensively covers the many applications of these innovative new technologies, as well as the challenges surrounding their implementation. Readers will find the book: Explores the convergence of environmental sustainability and advanced computational techniques, addressing the global call for energy-efficient and eco-friendly technological solutions; Integrates perspectives from computer science, engineering, environmental science, and artificial intelligence, providing a holistic view of green computing; Examines sustainable practices across diverse topics, including energy-efficient algorithms and resource optimization, sustainable hardware design, green software engineering, eco-friendly data centers, and smart resource management; Offers practical strategies for implementing sustainable computing practices while addressing theoretical and practical challenges; Highlights the role of computational intelligence in promoting sustainability, bridging the gap between technology development and environmental conservation. Audience Researchers, students, educators, and industry professionals working towards sustainable practices in and using green technology.

Empower your response to global climate extremes by mastering the transformative power of synthetic aperture radar technology with this essential guide to its role in disaster management. As humanity navigates the escalating challenges of a rapidly changing world marked by intensifying climate extremes, environmental degradation, and urbanization, the demand to mitigate disasters and protect vulnerable communities has never been more urgent. This book is a critical resource at this pivotal juncture, uniting the frontiers of synthetic aperture radar technology with the pressing demands of disaster resilience. It illustrates how science, engineering, and policy can converge to build a safer, more sustainable future, offering a transformative lens through which to address the complex interplay of global vulnerabilities and technological innovation. Using a holistic exploration of synthetic aperture radar’s transformative role in disaster management, the book equips readers to harness this emerging technology for rapid disaster response, infrastructure recovery, and climate resilience. Readers will find the volume: Explores the role of machine learning, deep learning, and multi-sensor data fusion in interpreting SAR data for real-time decision-making;Includes real-world case studies that demonstrate the effectiveness of SAR in disaster scenarios, bridging theory with actionable solutions;Combines radar technology, computational advancements, and policy frameworks to address the interdisciplinary challenges of disaster management;Covers the end-to-end workflow of SAR in disaster contexts, from data acquisition and processing to interpretation and decision-making.Audience Designed for professionals, researchers, and students in remote sensing, geoinformatics, earth observation, disaster management, environmental agencies, and geospatial intelligence.

Empower your response to global climate extremes by mastering the transformative power of synthetic aperture radar technology with this essential guide to its role in disaster management. As humanity navigates the escalating challenges of a rapidly changing world marked by intensifying climate extremes, environmental degradation, and urbanization, the demand to mitigate disasters and protect vulnerable communities has never been more urgent. This book is a critical resource at this pivotal juncture, uniting the frontiers of synthetic aperture radar technology with the pressing demands of disaster resilience. It illustrates how science, engineering, and policy can converge to build a safer, more sustainable future, offering a transformative lens through which to address the complex interplay of global vulnerabilities and technological innovation. Using a holistic exploration of synthetic aperture radar s transformative role in disaster management, the book equips readers to harness this emerging technology for rapid disaster response, infrastructure recovery, and climate resilience. Readers will find the volume: Explores the role of machine learning, deep learning, and multi-sensor data fusion in interpreting SAR data for real-time decision-making; Includes real-world case studies that demonstrate the effectiveness of SAR in disaster scenarios, bridging theory with actionable solutions; Combines radar technology, computational advancements, and policy frameworks to address the interdisciplinary challenges of disaster management; Covers the end-to-end workflow of SAR in disaster contexts, from data acquisition and processing to interpretation and decision-making. Audience Designed for professionals, researchers, and students in remote sensing, geoinformatics, earth observation, disaster management, environmental agencies, and geospatial intelligence.

Empower your response to global climate extremes by mastering the transformative power of synthetic aperture radar technology with this essential guide to its role in disaster management. As humanity navigates the escalating challenges of a rapidly changing world marked by intensifying climate extremes, environmental degradation, and urbanization, the demand to mitigate disasters and protect vulnerable communities has never been more urgent. This book is a critical resource at this pivotal juncture, uniting the frontiers of synthetic aperture radar technology with the pressing demands of disaster resilience. It illustrates how science, engineering, and policy can converge to build a safer, more sustainable future, offering a transformative lens through which to address the complex interplay of global vulnerabilities and technological innovation. Using a holistic exploration of synthetic aperture radar s transformative role in disaster management, the book equips readers to harness this emerging technology for rapid disaster response, infrastructure recovery, and climate resilience. Readers will find the volume: Explores the role of machine learning, deep learning, and multi-sensor data fusion in interpreting SAR data for real-time decision-making; Includes real-world case studies that demonstrate the effectiveness of SAR in disaster scenarios, bridging theory with actionable solutions; Combines radar technology, computational advancements, and policy frameworks to address the interdisciplinary challenges of disaster management; Covers the end-to-end workflow of SAR in disaster contexts, from data acquisition and processing to interpretation and decision-making. Audience Designed for professionals, researchers, and students in remote sensing, geoinformatics, earth observation, disaster management, environmental agencies, and geospatial intelligence.

This insightful volume opens new horizons for exploring modern therapeutic entities and emerging targets for combating the deadly disease of cancer. The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies, that can be utilized for the treatment of metastatic diseases. The chapters look at specific approaches that have been researched and developed and that have almost reached the standardization stage, such as intracellular mechanisms, particularly phosphoprotein-enriched astrocytes and transthyretin proteins; CXCR4; autophagy-inhibiting drugs; spatiotemporal genetic analysis; tyrosine kinase inhibitors; and more. Also considered are advances in diagnostic systems like intra vital microscopy and molecular imaging.

This insightful volume opens new horizons for exploring modern therapeutic entities and emerging targets for combating the deadly disease of cancer. The authors provide a review of cancer along with descriptions of its molecular level mechanisms and emphasize the role of promising new therapies, including herbal therapies, that can be utilized for the treatment of metastatic diseases. The chapters look at specific approaches that have been researched and developed and that have almost reached the standardization stage, such as intracellular mechanisms, particularly phosphoprotein-enriched astrocytes and transthyretin proteins; CXCR4; autophagy-inhibiting drugs; spatiotemporal genetic analysis; tyrosine kinase inhibitors; and more. Also considered are advances in diagnostic systems like intra vital microscopy and molecular imaging.