Molecular, Cellular, and Metabolic Fundamentals of Human Aging provides researchers with an overview of the main aging mechanisms and physiology and how they can lead to age-related diseases and conditions. Topics covered include DNA damage and how ineffective repair can lead to cell and tissue aging and decreased functionality, loss of proteostasis, changes to feeding and fasting pathways, mitochondrial dysfunction, the impact of decreased ability of autophagosomes and autophagosomes, cellular senescence, changes to communication molecules, and the impact of stem cell exhaustion. The book also considers the impact of aging within the immune system, the relationship between aging and diseases such as cancers and neurodegenerative conditions, and provides an overview on the dialogue surrounding the topic of aging beyond basic biology.

The modern unhealthy diet and lifestyle in conjunction with pathogens, environmental carcinogens and multiple other risk factors increase humans' susceptibility to different diseases exemplified by elevated levels of cancers, cardiovascular and communicable diseases. Screening of potential drugs from medicinal plants and animals provides a promising strategy for the alleviation of the impact of these diseases. Components with potential medicinal applications include RIPs, RNases, lectins, protease inhibitors and numerous small compounds. These compounds have shown both preventive and therapeutic effects for humans. This book is a compilation of articles written by internationally renowned experts exploring the different uses of medicinal compounds in human therapeutics. Here we provide a comprehensive outlook on both qualitative and quantitative studies focusing on medicinal plants and animals, and establishing a link between laboratory research discovery and clinical applications.

With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.

This book constitutes the refereed proceedings of the 8th International Conference on Decision and Game Theory for Security, GameSec 2017, held in Vienna, Austria, in October 2017. The 24 revised full papers presented together with 4 short papers were carefully reviewed and selected from 71 submissions.The papers address topics such as Game theory and mechanism design for security and privacy; Pricing and economic incentives for building dependable and secure systems; Dynamic control, learning, and optimization and approximation techniques; Decision making and decision theory for cybersecurity and security requirements engineering; Socio-technological and behavioral approaches to security; Risk assessment and risk management; Security investment and cyber insurance; Security and privacy for the Internet-of-Things (IoT), cyber-physical systems, resilient control systems; New approaches for security and privacy in cloud computing and for critical infrastructure; Security and privacy of wireless and mobile communications, including user location privacy; Game theory for intrusion detection; and Empirical and experimental studies with game-theoretic or optimization analysis for security and privacy.

The modern unhealthy diet and lifestyle in conjunction with pathogens, environmental carcinogens and multiple other risk factors increase humans' susceptibility to different diseases exemplified by elevated levels of cancers, cardiovascular and communicable diseases. Screening of potential drugs from medicinal plants and animals provides a promising strategy for the alleviation of the impact of these diseases. Components with potential medicinal applications include RIPs, RNases, lectins, protease inhibitors and numerous small compounds. These compounds have shown both preventive and therapeutic effects for humans. This book is a compilation of articles written by internationally renowned experts exploring the different uses of medicinal compounds in human therapeutics. Here we provide a comprehensive outlook on both qualitative and quantitative studies focusing on medicinal plants and animals, and establishing a link between laboratory research discovery and clinical applications.

This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during May 9-13, 2022. The 5 best papers and 4 visionary papers included in this book stem from the following workshops: - 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS);- 23rd Workshop on Multi-Agent Based Simulation (MABS);- 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS);- 10th Workshop on Engineering Multi-Agent Systems (EMAS);- 1st Workshop on Rebellion and Disobedience in AI (RaD-AI). There was a total of 59 submissions to these workshops.

This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.* The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part I, including: Healthcare, Education, Web Application and On-device application. * The conference was originally planned for December 2021, but was postponed to 2022.

This book constitutes the proceedings of the 17th International Conference on Advanced Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022.* The 26 full papers presented together with 35 short papers were carefully reviewed and selected from 116 submissions. The papers were organized in topical sections in Part II named: Pattern mining; Graph mining; Text mining; Multimedia and time series data mining; and Classification, clustering and recommendation. * The conference was originally planned for December 2021, but was postponed to 2022.

With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.