Böcker av Patel

Global warming is having a huge impact on the world's ecosystem. Glaciers have shrunk, ice on rivers and lakes is breaking up early, and plant and animal ranges have relocated. On a worldwide scale, the threat posed by climate change and pollution is clearly obvious. A green and sustainable future necessitates using renewable resources to produce fuels, chemicals, and materials. This investigates diverse bioprocesses that are crucial to everyday life, including the key concerns regarding the generation of biofuels, energy and food securities along with waste management. Commercial interest in biotechnological processes has risen to produce pharmaceuticals, health supplements, foodstuffs, biofuels, and chemicals using a biocatalyst such as enzymes, microorganisms, plant cells, or animal cells in a bioreactor. The sustainability of renewable biomass, replacement of depleted fossil fuels, and the mitigation of greenhouse gas emissions from the existing chemical and oil industries are the key benefits of switching to bioproducts.This book aims to discuss bioprocessing to produce biofuels, biobased chemicals, bioproducts, and biomass biorefinery processes. This involves designing novel pretreatment and fractionation technologies for lignocellulose biomass into cellulose, hemicellulose, and lignin and the conversion of these streams into biofuels and biobased chemicals via biochemical and thermochemical routes. This book also covers the advancement of oleaginous microorganisms for biofuels and nutraceutical, biological wastewater treatment.Written and edited by authors from leading biotechnology research groups from across the world, this exciting new volume covers all of these technologies, including the basic concepts and the problems and solutions involved with the practical applications in the real world. Whether for the veteran engineer or scientist, the student, or a manager or other technician working in the field, this volume is a must-have for any library.

Anita Patel's second collection of poetry takes us on a voyage into history, heritage, mythology and family. These poems scatter and drift through layers of time, across cultures and continents. They offer glimpses into past worlds and present realities. They pay tribute to the yearning of a migrant heart, the search for home and the tensile strength of women. This is poetry that peers through the cloudy lens of memory to examine the tattered web of relationships, language, landscapes and stories which make up a self.

DATA SCIENCE WITH SEMANTIC TECHNOLOGIESThis book will serve as an important guide toward applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for scholars, researchers, professionals, and practitioners in this field.To create intelligence in data science, it becomes necessary to utilize semantic technologies which allow machine-readable representation of data. This intelligence uniquely identifies and connects data with common business terms, and it also enables users to communicate with data. Instead of structuring the data, semantic technologies help users to understand the meaning of the data by using the concepts of semantics, ontology, OWL, linked data, and knowledge-graphs. These technologies help organizations to understand all the stored data, adding the value in it, and enabling insights that were not available before. As data is the most important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization.Data Science with Semantic Technologies provides a roadmap for the deployment of semantic technologies in the field of data science. Moreover, it highlights how data science enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book provides answers to various questions like: Can semantic technologies be able to facilitate data science? Which type of data science problems can be tackled by semantic technologies? How can data scientists benefit from these technologies? What is knowledge data science? How does knowledge data science relate to other domains? What is the role of semantic technologies in data science? What is the current progress and future of data science with semantic technologies? Which types of problems require the immediate attention of researchers?AudienceResearchers in the fields of data science, semantic technologies, artificial intelligence, big data, and other related domains, as well as industry professionals, software engineers/scientists, and project managers who are developing the software for data science. Students across the globe will get the basic and advanced knowledge on the current state and potential future of data science.