Exclusive book integrating thermal sciences and computational approaches Covers both philosophical concepts related to systems and design, to numerical methods, to design of specific systems, to computational fluid dynamics strategies Focus on solving complex real-world thermal system design problems instead of just designing a single component or simple systems Introduces usage of statistics and machine learning methods to optimize the system Includes sample PYTHON codes, exercise problems, special projects

The volume provides a wealth of up-to-date information on developments and applications of deep learning in healthcare and medicine, providing deep insight and understanding of novel applications that address the tough questions of disease diagnosis, prevention, and immunization. The volume looks at applications of deep learning for major medical challenges such as cancer detection and identification, birth asphyxia among neonates, kidney abnormalities, white blood cell segmentation, diabetic retinopathy detection, and Covid-19 diagnosis, prevention, and immunization. The volume discusses applications of deep learning in detection, diagnosis, intensive examination and evaluation, genomic sequencing, convolutional neural networks for image recognition and processing, and more for health issues such as kidney problems, brain tumors, lung damage, and breast cancer. The authors look at ML for brain tumor segmentation, in lung CT scans, in digital X-ray devices, and for logistic and transport systems for effective delivery of healthcare.

Provides an overview to futuristic research areas Explores various engineering optimization and multi-criteria decision making techniques Introduces a specific control framework for use in analyzing processes Covers problem-analyzing and solving skills Includes different types of composites materials, design considerations, and applications

This book deals find out the pharmacokinetic profiles data and design the dosage regimen of cinchona officinalis for measuring safety and efficacy from conventional dosage form. The rationale of this project work was to formulate oral conventional herbal tablets containing Quinine in herbal extract and to determine the pharmacokinetic profile of the same (formulated herbal extract tablets). The pharmacokinetic profile of the herbal formulation was compared with the pharmacokinetic profile of the pure quinine formulation and marketed formulation. Since herbal formulations consist of natural plant material and not a synthesized chemical, herbal remedies are less likely to cause unpleasant side effects than conventional pharmaceutical drugs. Thus, herbal remedies are precised safer, gentler and lower costing than conventional drugs.

This book deals with the Pharmacokinetic evaluation of Sitagliptin, which is an oral DPP-4 inhibitor for the treatment of Type 2 Diabetes. This book provides the information about bio-analytical method development and validation of drugs by high performance liquid chromatography. The developed method for Sitagliptin in this book might be applicable to bioavailability and bioequivalence studies. Users of this book will be provided the simple, sensitive and validated bio-analytical method for the estimation of Sitagliptin in plasma and its applications to the pharmacokinetic studies.

Infrastructure capital can be considered a necessary condition to extend the regional production potential but not automatically a sufficient requirement for enhanced regional competitiveness and income. The materialization of a region's higher production potential rather relies on the region's ability to utilize the existing and additional infrastructure capital in an efficient way. Against this background, the paper intends to identify Asian regions' environment with public transport infrastructure and their efficiency in using it. Therefore, the role of transport infrastructure is contrasted with the importance of other region-specific production factors namely educational attainments of the workforce and the availability of modern telecommunication networks. In order to increase the comparability of the regions, the latter are clustered according the land use pattern and industrial structure in a first step. In a second step a quantile regression analysis is performed for each cluster and factor. This, in turn, allows for a sequential bottleneck analysis. This paper explores quantifying the welfare effects of developing regional infrastructure in Asia.