Sally Lukose – författare

This book is a comprehensive exploration of the dynamic and evolving landscape of allied healthcare, providing a foundational understanding of the principles, practices, and challenges associated with integrated patient care. Through a multidisciplinary approach, it addresses the interplay of various allied health disciplines and communication and ethical and legal considerations followed in achieving optimal patient outcomes.The volume begins with an introduction to allied health sciences and career opportunities and discusses the basic knowledge, such as knowledge of anatomy and physiology and the interrelationship between systems and organs in the body. The volume covers the skills required for specialized areas, including medical imaging and radiology; rehabilitation, physical, and occupational therapy; speech therapy; nutrition and dietetics; community ophthalmology; etc. Also addressed are the safety quality and patient care aspects of allied healthcare, forensic aspects in patient care, inter-collaborations in patient care; and ethical and legal issues in patient care.

This book is a comprehensive exploration of the dynamic and evolving landscape of allied healthcare, providing a foundational understanding of the principles, practices, and challenges associated with integrated patient care. Through a multidisciplinary approach, it addresses the interplay of various allied health disciplines and communication and ethical and legal considerations followed in achieving optimal patient outcomes.The volume begins with an introduction to allied health sciences and career opportunities and discusses the basic knowledge, such as knowledge of anatomy and physiology and the interrelationship between systems and organs in the body. The volume covers the skills required for specialized areas, including medical imaging and radiology; rehabilitation, physical, and occupational therapy; speech therapy; nutrition and dietetics; community ophthalmology; etc. Also addressed are the safety quality and patient care aspects of allied healthcare, forensic aspects in patient care, inter-collaborations in patient care; and ethical and legal issues in patient care.

The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features: Studies the use of AI in criminal scene management Reviews the use of AI in data handling Reviews anomaly detection in companies Evaluated the use of AI in legal assistance Covers emotion and sentiment analysis by AI in criminal matters.

The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features: Studies the use of AI in criminal scene management Reviews the use of AI in data handling Reviews anomaly detection in companies Evaluated the use of AI in legal assistance Covers emotion and sentiment analysis by AI in criminal matters.

The book provides a complete overview of forensic science, AI, and data management in law and business. It reviews the applications of AI and advanced data management methods across various legal and forensic domains. Topics discussed include digital forensics, predictive modelling, automatic classification, anomaly detection, cold case analysis, metadata analysis, and pattern recognition using blockchain technology.The book explores the cutting-edge intersection of fields such as ethical AI in legal systems, forensic science, data privacy, and forensic accounting laws. It examines the ethical implications of integrating computational intelligence including AI and machine learning into legal and judicial systems. The challenges and opportunities of applying AI to decision-making in human rights contexts are analysed, with emphasis on transparency, accountability, and fairness in algorithmic decision-making within legal frameworks.Further, it evaluates the intersection of data privacy and human rights with respect to biometric data collection, discussing the implications of mass surveillance, data harvesting, and profiling on individual privacy and civil liberties. The book also investigates how computational intelligence can be used to analyse large-scale datasets and enhance legal research and decision-making within the framework of human rights and the rule of law.Key Features:Studies the use of AI in criminal scene managementReviews the use of AI in data handlingReviews anomaly detection in companiesEvaluated the use of AI in legal assistanceCovers emotion and sentiment analysis by AI in criminal matters.

This book is a comprehensive exploration of the dynamic and evolving landscape of allied healthcare, providing a foundational understanding of the principles, practices, and challenges associated with integrated patient care. Through a multidisciplinary approach, it addresses the interplay of various allied health disciplines and communication and ethical and legal considerations followed in achieving optimal patient outcomes.The volume begins with an introduction to allied health sciences and career opportunities and discusses the basic knowledge, such as knowledge of anatomy and physiology and the interrelationship between systems and organs in the body. The volume covers the skills required for specialized areas, including medical imaging and radiology; rehabilitation, physical, and occupational therapy; speech therapy; nutrition and dietetics; community ophthalmology; etc. Also addressed are the safety quality and patient care aspects of allied healthcare, forensic aspects in patient care, inter-collaborations in patient care; and ethical and legal issues in patient care.

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.

The book presents emerging techniques for the development of latent fingerprint on various surfaces using nanotechnology. It explores the use of nanoparticles for the development of fingerprints. Various topics covered in this book include chemistry of nanomaterials for finger printing, quantum dots in fingerprinting, florescent nanoparticles in fingerprinting, nanocomposite and hybrid materials for fingerprints, carbon-based nanomaterial, silver and gold nanoparticles development of fingerprint, zinc oxide nanoparticles, silica nanoparticles for development of fingerprints, etc. Given the contents, the book will be highly useful for the students, researchers and professionals working in the areas of forensic science and nanotechnology.