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Dr Rajendra Prasad wrote the greater part of Autobiography while he was in prison between 1942 and 1945. First published in Hindi, it takes us through his childhood, his life in his village Chapra, his early education with his teacher ‘Maulvi Saheb’, his years as a student in Calcutta, his marriage at the age of twelve and his legal practice. It discusses not only his personal tribulations, but is also an examination of the last years of British colonial rule in India. As a freedom fighter and close associate of Gandhi, he was privy to political developments in the decades before independence. He records Gandhi’s influence on him, the call for non-co-operation in Bihar as part of Gandh...
This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression models. Optimal estimation of the parameters of the model using a suitable choice of designs is of great importance; as such choices allow experimenters to extract maximum information for the unknown model parameters. The main emphasis of this monograph is to start with an assumed covariate model in combination with some standard ANOVA set-ups such as CRD, RBD, BIBD, GDD, BTIBD, BPEBD, cross-over, multi-factor, split-plot and strip-plot designs, treatment control designs, etc. and discuss the nature and availability of optimal covariate designs. In some situations, optimal estimations of both ANOVA and the regression parameters are provided. Global optimality and D-optimality criteria are mainly used in selecting the design. The standard optimality results of both discrete and continuous set-ups have been adapted, and several novel combinatorial techniques have been applied for the construction of optimum designs using Hadamard matrices, the Kronecker product, Rao-Khatri product, mixed orthogonal arrays to name a few.
High-throughput molecular technologies ("omics") can help to decipher the contributions of different physiological systems and identify candidate molecules that are representative of different physiological pathways thereby allowing the discovery of biomarkers. Notably, the omics technologies along with and computational methods, bioprospecting, and artificial intelligence will continue to lead to better understanding of biological mechanisms that are responsible for physical attributes, or phenotypes. Research breakthroughs obtained through these technologies can be used to enhance productivity of food animals, meet the increasing demand for animal-sourced foods, enhance high-quality nutrie...
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The volume contains original research papers as the Proceedings of the International Conference on Applied Nonlinear Analysis and Soft Computing (ANASC 2020), held at Gauhati University, Guwahati, India, on 22-23 December, 2020. It focuses on current research topics in applied analysis including nonlinearity, soft computing and related areas. It primarily includes topics related to pattern recognition, reaction-diffusion problem, decision making problems, inventory model, predator-prey model, logistic models, wave problems, problems in Magnetohydrodynamics, cosmological model, harmonic functions, graphs, shapes, etc. Researchers, educators, scientist and professionals interested in recent developments in applied analysis including nonlinearity aspects and soft computing should be benefited from this volume.
Lions Clubs International District 322C3 Directory for Lionistic Year 2016-17. Published by Lions District Governor MJF Lion Ajay Chatterjee. This digital edition enable every lion member to get the same information in their Mobile Phones, Tablets and Lap Tops. Digital edition enables save Paper and hence save trees.
With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and cover...
This book focuses on the design, development, and analysis of augmented and virtual reality (AR/VR)-based systems, along with the technological impacts and challenges in social learning. Social Learning provides a comprehensive approach to researching methods in the emerging fields of AR/VR. The contributors of this book outline the state-of-the-art implementation of AR/VR for the Internet of Things, Blockchains, Big Data, and 5G within AR/VR systems.
In the recent past, significant strides have been made in the domain of plant growth regulators (PGRs) and biostimulants. In the sustainable utilization of plant germplasm PGRs and biostimulants play a pivotal role. With a magnified growth rate and less risk of inducing clonal somaclonal variations, PGRs (such as auxins, gibberellins, isoprenoid and aromatic cytokinins, ethylene, and abscisic acid) serve as a boon to plant biologists especially those working with rare endangered and threatened species and medicinal and aromatic plant species. Furthermore, the combined effect of PGRs with LEDs (light-emitting diode) on various aspects of plant development is an area of research gaining attention. The use of biostimulants to promote plant growth, yield and stress tolerance has increasingly gained attention. However, their functional role in the growth and development of plants is not clearly understood.
The book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Fourth International Conference on Harmony Search, Soft Computing and Applications held at BML Munjal University, Gurgaon, India on February 7–9, 2018. It consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.