Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.

Salmonella spp. is one of the most important pathogens of man and animals. Their wide distribution, food borne nature, possession of multiple virulence factors and increasing antimicrobial resistance make them pathogen of significant public health importance. Objective of the present study, therefore, was to develop PCR protocols for the detection of Salmonella with special reference to Typhimurium and Enteritidis and as well as to assess PCR techniques for the epidemiological typing of Salmonella.

Expansive soil deposits are considered to be problematic to the civil engineering construction. Lateral pressure development of expansive soils based on large scale tests indicate that under KO condition and under KA condition, the lateral pressure exerted by expansive soil is much higher and different from those predicted by normal theories. However, under air dry and compacted states the lateral pressure behaviour is as per conventional theories. The studies based on tests conducted in large scale devices (2 to 4 m wall height) with cohesive non swelling soil (CNS) backing interposed between wall and expansive soil have revealed that the CNS is helpful in reducing the lateral pressure by more than 90%. Based on displacements in relation to self equilibrating boundary concept, the lateral pressure equations developed for saturated expansive soil with and without CNS backing give lateral pressure distributions close to that observed in the experiments. This publication is intended to serve as a reference book in universities and guide to practicing geotechnical engineers for design of retaining structures with expansive soil backfill.