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Maize Stress Ecophysiology and Regulation
To face the double pressures from the changing environment and increasing demand of the growing population globally, maize plays an essential role in securing food safety due to its strong adaptability. With climate change, the severity of extreme environmental stresses is projected to be more frequent, which affects maize growth, physiological processes, and productivity. It is important to explore the physiological mechanisms and regulatory measures in response to abiotic stresses. The interactions between crop and environmental stresses are multistep and complex. The stress resistance response of maize is still an extremely complicated process. Studies on responses of maize growth, yield,...
Skylines and Other Dominance-Based Queries
This book is a gentle introduction to dominance-based query processing techniques and their applications. The book aims to present fundamental as well as some advanced issues in the area in a precise, but easy-to-follow, manner. Dominance is an intuitive concept that can be used in many different ways in diverse application domains. The concept of dominance is based on the values of the attributes of each object. An object dominates another object if is better than . This goodness criterion may differ from one user to another. However, all decisions boil down to the minimization or maximization of attribute values. In this book, we will explore algorithms and applications related to dominance-based query processing. The concept of dominance has a long history in finance and multi-criteria optimization. However, the introduction of the concept to the database community in 2001 inspired many researchers to contribute to the area. Therefore, many algorithmic techniques have been proposed for the efficient processing of dominance-based queries, such as skyline queries, -dominant queries, and top- dominating queries, just to name a few.
Wastewater Treatment
Wastewater Treatment: Recycling, Management, and Valorization of Industrial Solid Wastes bridges the gap between the theory and applications of wastewater treatments, principles of diffusion, and the mechanism of biological and industrial treatment processes. It presents the practical applications that illustrate the treatment of several types of data, providing an overview of the characterization and treatment of wastewaters, and then examining the different biomaterials and methods for the evaluation of the treatment of biological wastewaters. Further, it considers the various types of industrial wastewater treatment, separation, and characterization of industrial wastewater. The book serves as a valuable resource for practicing engineers and students who are interested in the field of wastewater treatment. Features: Presents the latest technologies in water treatment, including nanomaterials for industrial wastewater Covers different treatments for various industrial wastewaters, including chemical and pharmaceutical waste Includes forward-thinking analysis including conclusions and recommendations for water reuse programs
Neuroscientific Research for Management of Dementia
The articles in this eBook are divided into three main chapters. Chapter 1 focuses on the role of specific proteins in the pathological processes of neurodegeneration, specifically Alzheimer's disease. Chapter 2 describes novel candidates and risk factors for the diagnosis of Alzheimer's disease. Chapter 3 targets various therapeutic interventions from pharmacological targets to cognitive function. This eBook thus provides an overall overview of the latest research in understanding mechanisms leading to the development of Alzheimer's disease, diagnosis, and therapeutic interventions.
Simulation Tools and Techniques
This volume constitutes the refereed post-conference proceedings of the 11th International Conference on Simulation Tools and Techniques, SIMUTools 2019, held in Chengdu, China, in August 2019. The 97 revised full papers were carefully selected from 156 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.
Artificial Neural Networks and Machine Learning – ICANN 2023
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
