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Current Concepts in Bovine Reproduction
This book provides updated information on the current concepts in bovine reproduction. It describes the complex issues associated with fertility and infertility in bovines and suggests strategies for achieving high reproductive efficiency. It discusses topics related to the fertility trend in bovines, estrus detection, controlled breeding, postpartum uterine health, uterine infections, and its therapeutic management. The essential roles of metabolic hormones on gonadal functions and fertility are also covered. Additionally, the book presents new insights in maternal recognition of pregnancy in bovines and suggest nutritional strategies to improve reproductive efficiency. The chapters on male...
Frontier Technologies in Bovine Reproduction
This book details the frontier technologies in the area of bovine reproduction. It describes the importance and significance of different technologies for improving reproduction efficiency in bovines. The book delineates the advancements in the technologies that are currently in use for faster multiplication of elite germ plasm including multiple ovulation and embryo transfer, ovum-pick-up, in vitro fertilization and embryo production, and semen sexing. Other emerging technologies, having potential for improving reproductive efficiency in bovines, including stem cells are also discussed with special reference to spermatogonial stem cells. Simple but effective tools having a great scope for d...
Deep Learning: Fundamentals, Theory and Applications
More complex computing approaches have grown in popularity as technology has improved and big data has emerged. Increasing customer demand for better goods, as well as firms trying to better exploit their resources, have been driving this trend. Machine learning is a field that combines statistics, mathematics, and computer science to create and analyze algorithms that improve their own behavior in an iterative fashion by design. Initially, the discipline was committed to the development of artificial intelligence, but owing to the constraints of theory and technology at the time, it became more reasonable to concentrate these algorithms on particular tasks. Deep learning is a sort of machin...
A Textbook of Software Engineering
Software engineering is a fundamental component of computer science; therefore, all students pursuing this discipline must possess fundamental knowledge. The primary objective of this book is to furnish readers with the fundamental abilities and introductory understanding necessary to effectively carry out a software project. This reader-friendly book is intended primarily as an introduction to this wide-ranging field for undergraduate students, and it follows the successful methodology and approachable language This textbook adopts a methodical approach that prioritises practical application. It delineates the essential duties entailed in a project and provides illustrative examples of the ...
Maternal overweight and obesity
Objectives: The overall aim of this thesis was to evaluate the impact of maternal body mass index (BMI) on obstetric and neonatal outcomes in adolescents as well as on treatment with oxytocin infusion during labor regarding cumulative oxytocin dose and plasma levels of oxytocin. Material and Methods: Studies I and II were nationwide Swedish register studies including 31,386 primiparous adolescents subdivided in BMI groups and obesity classes according to early pregnancy BMI. Additionally, 178,844 low-risk normal weight adult women, called “the standard women” were included for comparison with the adolescents in the different BMI groups. Study III was an observational study conducted at s...
The Uterus
The series provides an essential source of information for all trainees in obstetrics, gynaecology, andrology and reproductive medicine, and will also be of interest to reproductive biologists and geneticists, physiologists and endocrinologists.
Nanomaterials for Energy Conversion, Biomedical and Environmental Applications
This book highlights a multidisciplinary system for the future while protecting our environment. Certainly, the main objective of the proposed book has addressed several issues and bringing a good platform to understanding for future developments in metal oxide nanostructures for energy conversion, biomedical, and environmental management, however, which is support/carrier for antibacterial behaviors, pathogen infections, and bioinspired materials for energy savings and environmental impacts. Appropriately, I recommend the book to undergraduates, postgraduates, and doctoral students those who are working in materials science and researchers across the world working in interdisciplinary research.
Mathematical and Statistical Methods in Food Science and Technology
Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.
