Amit Kumar Pandey – författare

Transcription and Translation in Health and Disease provides a detailed overview of the regulators underlying transcription and translation in relation to a variety of human diseases and disorders. Beginning with an introduction into the current perspectives relating to these processes in human disease, the book expands to focus on specific mechanisms underlying conditions such as arthritis, cancer, neurological disorders, diabetes and cardiovascular disease. This book considers RNA processing and related mechanisms in eukaryotes including RNA splicing, RNA binding proteins, RNA interference, microRNAs, RNA editing, transcription factors, RNAi screening, CRISPR activation, CRISPR-Cas9 interference, and post-translational modifications.

It provides a structured and detailed overview of the various regulators underlying molecular processes and their impact on health and disease, equipping readers with the necessary knowledge for further investigation in the areas of treatment and therapeutic intervention.

Discusses the role played by transcription and translational regulation in various diseases, including cancer, diabetes, cardiovascular disease and neurological disease Considers a range of post-transcriptional regulators, including RNA-binding proteins, non-coding RNAs, epigenetic modifiers, alternative splicing and telomerase-binding proteins Covers the topic from fundamental knowledge to the latest developments in clinical application Includes a section dedicated to therapeutic applications

Transcription and Translation in Health and Disease provides a detailed overview of the regulators underlying transcription and translation in relation to a variety of human diseases and disorders. Beginning with an introduction into the current perspectives relating to these processes in human disease, the book expands to focus on specific mechanisms underlying conditions such as arthritis, cancer, neurological disorders, diabetes and cardiovascular disease. This book considers RNA processing and related mechanisms in eukaryotes including RNA splicing, RNA binding proteins, RNA interference, microRNAs, RNA editing, transcription factors, RNAi screening, CRISPR activation, CRISPR-Cas9 interference, and post-translational modifications.It provides a structured and detailed overview of the various regulators underlying molecular processes and their impact on health and disease, equipping readers with the necessary knowledge for further investigation in the areas of treatment and therapeutic intervention.- Discusses the role played by transcription and translational regulation in various diseases, including cancer, diabetes, cardiovascular disease and neurological disease- Considers a range of post-transcriptional regulators, including RNA-binding proteins, non-coding RNAs, epigenetic modifiers, alternative splicing and telomerase-binding proteins- Covers the topic from fundamental knowledge to the latest developments in clinical application- Includes a section dedicated to therapeutic applications

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.FeaturesDiscusses heuristic techniques and evolutionary algorithms in microgrids optimization problemsCovers operation management, distributed control approaches, and conventional control methods for microgridsPresents intelligent control for energy management and battery charging systemsHighlights a comprehensive treatment of power sharing in DC microgridsExplains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven invertersIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.FeaturesDiscusses heuristic techniques and evolutionary algorithms in microgrids optimization problemsCovers operation management, distributed control approaches, and conventional control methods for microgridsPresents intelligent control for energy management and battery charging systemsHighlights a comprehensive treatment of power sharing in DC microgridsExplains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven invertersIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.

Features

Discusses heuristic techniques and evolutionary algorithms in microgrids optimization problems Covers operation management, distributed control approaches, and conventional control methods for microgrids Presents intelligent control for energy management and battery charging systems Highlights a comprehensive treatment of power sharing in DC microgrids Explains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven inverters

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

The book discusses principles of optimization techniques for microgrid applications specifically for microgrid system stability, smart charging, and storage units. It also highlights the importance of adaptive learning techniques for controlling autonomous microgrids. It further presents optimization-based computing techniques like fuzzy logic, and neural networks to enhance the computational speed.

Features

Discusses heuristic techniques and evolutionary algorithms in microgrids optimization problems Covers operation management, distributed control approaches, and conventional control methods for microgrids Presents intelligent control for energy management and battery charging systems Highlights a comprehensive treatment of power sharing in DC microgrids Explains control of low-voltage microgrids with master-slave architecture, where distributed energy resources interface with the grid by means of conventional current-driven inverters

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and environmental engineering.

This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.

This book contains the latest computational intelligence methodologies and applications. This book is a collection of selected papers presented at International Conference on Sustainable Computing and Intelligent Systems (SCIS 2021), held in Jaipur, India, during February 5–6, 2021. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of artificial intelligence and intelligent systems, intelligent business systems, machine intelligence, computer vision, Web intelligence, big data analytics, swarm intelligence, and related topics.