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Functional Microbiomes II, Volume 68 in the Advances in Ecological Research series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters include Investigating the core microbiome concept: Daphnia as a case study and Soil Microbiome - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in Advances in Ecological Research series - Includes the latest information on Managing Conflict in Agricultural, Urban and Tropical Ecosystems
Advances in Ecological Research, Volume 69 in this ongoing serial, highlights new advances in the field with this new volume presenting interesting chapters written by an international board of authors. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Ecological Research
The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.
Intelligent technologies have vastly improved the efficiency of healthcare industries and intersections of law and governance. Computational intelligence provides effective tools for data management, contract analysis, legal research, and algorithm development. However, with the integration of computational intelligence in health governance, considerable legal concerns beg further exploration. Intersections of Law and Computational Intelligence in Health Governance examines computational intelligence related to healthcare and governance approaches. It addresses issues of healthcare data analysis and storage by presenting solutions using medical computational intelligence techniques. This book covers topics such as healthcare accessibility, medical law, deep learning, and drug discovery and classification, and is a valuable resource for lawyers, policy makers, healthcare workers, medical professionals, academicians, and researchers.
The global demand for clean energy solutions the urgency of addressing climate change continue to intensify, and as such, the need for innovative approaches becomes increasingly paramount. However, navigating the complex landscape of clean energy production and sustainability presents significant challenges. Traditional methods often fall short in efficiently optimizing renewable energy systems and mitigating environmental impacts. Moreover, the integration of artificial intelligence (AI) into the energy sector remains underexplored, despite its potential to revolutionize operations and drive sustainable development. AI Applications for Clean Energy and Sustainability emerges, working to tackle these pressing issues. This comprehensive volume delves into the transformative power of AI in revolutionizing clean energy production, distribution, and management. By harnessing machine learning algorithms, data analytics, and optimization techniques, the book offers innovative solutions to enhance the efficiency, reliability, and scalability of renewable energy systems. Through real-world case studies and practical examples, it illustrates AI's potential to optimize energy infrastructure, monitor marine ecosystems, and predict climate change impacts, thereby paving the way for a more sustainable future.
The most recent volume of this series, Advances in Ecological Research, demonstrates a captivating knowledge of recent advances in the analysis of food webs. A food web describes the network of predator-prey interactions within a community. The simplest description of a food web specifies only who eats whom (a connectance web), with no indication of how much or how often. Chapters in this book begin with a discussion of the most detailed connectance webs ever compiled, and advance to incorporate information on the body size and numerical abundance of the species. The results yield new ways of describing food webs and powerful new models for estimating patterns of energy flow in ecosystems. - Provides fresh ways of describing food webs and applies previous observations in a new context - Ranked as the #1 publication in the Institute for Scientific Information in the Ecology section of 2000 - Powerful new theory AND application to some of the best food web data in the world - Many mathematical models for food web structure and function - Integrates previously unconnected perspectives on the description of ecological communities