This book explores the scientific and technological relevance of rare earth elements in energy and sustainability. It covers their roles in clean energy systems, including electric vehicles, wind turbines, and energy storage. Emphasis is placed on material properties, extraction processes, and sector-specific applications. The book also discusses market trends, environmental concerns, and supply chain issues, making it valuable for researchers, students, and professionals in energy and mat...

The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025.The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM trac...

The proposed book presents the current state of knowledge about the processes, parameters, and phenomena that influence the fate of neonicotinoids in soil-water systems (i.e., soil and groundwater), as well as their effects and mitigation measures, and identifies existing knowledge gaps. Furthermore, groundwater/surface water interactions, as well as sorption, biodegradation, and chemical transformations of neonicotinoids in the soil and leaching to the groundwater, are highlighted, as the...

In a world where safety is paramount, Flame Resistant: Next-Gen Door Tech sheds light on the revolutionary technology that is reshaping building security. This insightful guide delves into the evolution of door design, tracing its journey from simple wooden panels to advanced fire-retardant doors engineered to withstand intense fire conditions. Through rich historical context and technical expertise, readers gain a deeper understanding of how material innovation and regulatory standards ha...

This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, ...

This book provides an effective review and critical analysis of the recently demonstrated room-temperature sodium-sulfur batteries. Divided into three sections, it highlights the status of the technologies and strategies developed for the sodium metal anode, insight into the development of sulfur cathode, and electrolyte engineering. It reviews past, present, and future perspectives for each cell component including characterization tools unveiling the fundamental understanding of the room...

The text covers four important areas: digital manufacturing, modern manufacturing processes, modeling and simulation in smart industry, and nanotechnology. It further presents mathematical models to represent physical phenomena and applies modern computing methods and simulations in analyzing the same. The text covers key concepts such as abrasive flow machining (AFM), abrasive water jet (AWJ) machining, and hybrid machining for micro/nanomanufacturing. It will serve as an ideal reference ...

The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025.The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM trac...

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific kno...

In the recent past, beneficial microorganisms have been sustainably used in agriculture as a safe, economic, and effective alternative to chemical fertilizers or pesticides. These beneficial microbes, including bacteria, actinomycetes, and yeast, were efficiently applied in soil, seeds, fruits, or plants as inoculants, to achieve the optimum agricultural yield.An efficient delivery method or enhanced shelf life of microbial inoculants in the soil or seed is still a matter of concern. The r...

POLLUTANTS AND WATER MANAGEMENTPollutants and Water Management: Resources, Strategies and Scarcity delivers a balanced and comprehensive look at recent trends in the management of polluted water resources. Covering the latest practical and theoretical aspects of polluted water management, the distinguished academics and authors emphasize indigenous practices of water resource management, the scarcity of clean water, and the future of the w...

The five-volume set, LNAI 158710 - 15874 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13, 2025.The conference received a total of 557 submissions to the main track, 35 submissions to the survey track and 104 submittion to the special track on LLMs. Of these, 134 papers have been accepted for the main track, 10 for the survey track and 24 for the LLM trac...