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The land degradation due to salinity and waterlogging is a global phenomenon, afflicting about one billion hectares within the sovereign borders of at least 75 countries. Besides staring at the food security, it has far reaching and unacceptable socio-economic consequences since a large proportion of this land is inhabited by smallholder farmers. The anthropogenic-environmental changes and the climate change are further adding to the problem of salinity and waterlogging. The phenomenon of sea-level rise will bring more areas under waterlogged salinity due to inundation by sea water. Thus, dealing with the salinity in reality is becoming a highly onerous task owing to its complex nature, unce...
This book presents various aspects of agroforestry research and development, as well as the latest trends in degraded landscape management. Over the last four decades, agroforestry research (particularly on degraded landscapes) has evolved into an essential problem-solving science, e.g. in terms of sustaining agricultural productivity, improving soil health and biodiversity, enhancing ecosystem services, supporting carbon sequestration and mitigating climate change. This book examines temperate and tropical agroforestry systems around the world, focusing on traditional and modern practices and technologies used to rehabilitate degraded lands. It covers the latest research advances, trends an...
Microplastics and nanoplastics have been recently found in most environmental media and in living organisms, thus representing a serious health concern of yet poorly known adverse consequences. This book summarizes recent findings on the sources, behavior, transformation, toxicity and remediation of microplastics, with focus on soils, water, wastewater, air, soils, plants and corals. Advanced methods for sampling, characterization, removal and degradation of microplastics.
This book, Extremophiles: General and Plant Biomass Based Biorefinery, explores the potential of extremophiles in industries and biomass based biorefinery. The book sheds light on diversity and various applications of thermophiles, psychrophiles, halophiles, alkaliphiles and acidophiles for the production of value-added products including biofuels, extremozymes, etc. The chapters comprehensively emphasize the utility of extremophiles in sustainable biorefinery bioprocesses. This book is an integrated source of literature for scientists, engineers, academicians, and students working in the area of extremophiles, microbial technology and biorefinery.
OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease prog...
By addressing considerations of efficacy and safety of drugs and chemicals used to combat COVID-19, virtually in real-time, this book documents and highlights the advances in science and place the toxicology, pharmaceutical science, public health and medical community in a better position to advise in future epidemics.
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational techniques alongside new advances in analytic tools. Modeling enables data analysts to identify relationships, make predictions, and to understand, interpret and visualize the extracted information more strategically. This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians, working on the front end of data analysis and modeling applications. The chapters cover a cross section of current concerns and research interests in the above scientific areas. The collected material is divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications.
Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.