Who am I? It is not merely a question but a seed, which on germination, can shake the habitual thinking pat-terns and give birth to the transformed self and the world. Presently, we not only live in a time of distress but also a time of possibilities. Exploring possible scenarios of the ‘Self’, one can contemplate on reality vs perception, nothing-ness vs infinity, stillness vs movement, religion vs atheism and freedom vs incarceration. It cre-ates possibilities of billions of such patterns for the self. Knowing these patterns can free oneself of any such fixed patterns, relieve them from personal problems, and eventually, many such selves can transform the world. By raising many such questions and answering them, Seven Billion Objectives can take the reader on a journey of transformation of collective consciousness. This book is a systematic and compact tool of knowledge for transformation.
This new edition of `Law of Adoption, Minority, Guardianship and Custody analyses wide spectrum of the Indian personall law of adoption and guardianship and custody of Hindus, Muslims, Christians and Parsis with relevant references to the law of some other countries, particularly that of England. Statutory provisions and judicial decisions have been critically analysed. This work also states the law of inter-country adoptions as evolved by the Supreme Court and other connected matters including the U.N. Charter of Right of the child and some High Court Rules. A table of cases and subject index have also been provided. This work has been primarily written for practitioners of law and judges. It may also help scholars and law reformers.
Prophet Mohammed said, 'Learn the laws of succession and teach them to people, for they are one-half of the useful knowledge'. This work makes available this 'one half of the useful knowledge' in a language and style which brings this knowledge in the comprehension of a layman.
Who am I? It is not merely a question but a seed, which on germination, can shake the habitual thinking pat-terns and give birth to the transformed self and the world. Presently, we not only live in a time of distress but also a time of possibilities. Exploring possible scenarios of the ‘Self’, one can contemplate on reality vs perception, nothing-ness vs infinity, stillness vs movement, religion vs atheism and freedom vs incarceration. It cre-ates possibilities of billions of such patterns for the self. Knowing these patterns can free oneself of any such fixed patterns, relieve them from personal problems, and eventually, many such selves can transform the world. By raising many such questions and answering them, Seven Billion Objectives can take the reader on a journey of transformation of collective consciousness. This book is a systematic and compact tool of knowledge for transformation.
This book is an introduction to the emerging field of nanomedicine and its applications to health care. It describes the many multidisciplinary challenges facing nanomedicine and discusses the required collaboration between chemists, physicists, engineers and clinicians. The book introduces the reader to nanomedicine's vast potential to improve and extend human life through the application of nanomaterials in diagnosis and treatment of disease.
The only comprehensive treatment of nanophotonics currently available Photonics is an all-encompassing optical science and technology which has impacted a diverse range of fields, from information technology to health care. Nanophotonics is photonic science and technology that utilizes light-matter interactions on the nanoscale, where researchers are discovering new phenomena and developing technologies that go well beyond what is possible with conventional photonics and electronics. These new technologies could include efficient solar power generation, high-bandwidth and high-speed communications, high-capacity data storage, and flexible- and high-contrast displays. In addition, nanophotonics will continue to impact biomedical technologies by providing new and powerful diagnostic techniques, as well as light-guided and activated therapies. Nanophotonics provides the only available comprehensive treatment of this exciting, multidisciplinary field, offering a wide range of topics covering: * Foundations * Materials * Applications * Theory * Fabrication Nanophotonics introduces students to important and timely concepts and provides scientists and engineers with a cutting-edge reference. The book is intended for anyone who wishes to learn about light-matter interactions on the nanoscale, as well as applications of photonics for nanotechnology and nanobiotechnology. Written by an acknowledged leader in the field, this text provides an essential resource for those interested in the future of materials science and engineering, nanotechnology, and photonics.
Paras Prasad’s text provides a basic knowledge of a broad range of topics so that individuals in all disciplines can rapidly acquire the minimal necessary background for research and development in biophotonics. Introduction to Biophotonics serves as both a textbook for education and training as well as a reference book that aids research and development of those areas integrating light, photonics, and biological systems. Each chapter contains a topic introduction, a review of key data, and description of future directions for technical innovation. Introduction to Biophotonics covers the basic principles of Optics Optical spectroscopy Microscopy Each section also includes illustrated examples and review questions to test and advance the reader’s knowledge. Sections on biosensors and chemosensors, important tools for combating biological and chemical terrorism, will be of particular interest to professionals in toxicology and other environmental disciplines. Introduction to Biophotonics proves a valuable reference for graduate students and researchers in engineering, chemistry, and the life sciences.
Two IITians have teamed up to conjure 100 tips and tricks to crack the IIT. Their only mantra is 'Smart work will trump hard work'. It not only answers questions about all things physics, chemistry and maths but also addresses issues that students worry about and don't know whom to ask: Night owls vs early risers What does one do in class 11? Writing a formula 84 times to remember it Using WWE-style cards to make learning fun Colour-coded notebooks Getting the most out of lab experiments If tutorials and textbooks are professors, this book is that clever friend whom you meet outside the classroom and ask all your questions.
This Illustrated Dictionary of Entomology is published for the benefit of primarily amateur biologist with an interest in insects and for all those who desires to understand the science of entomology. The technical words related to the various disciplines of entomology such as morphology, anatomy, physiology, systematics, ecology, pest management and general entomology have been included in this Dictionary and where ever possible the technical meaning of these words have been clarified with the help of labeled diagram. Efforts have been made to define the entomological terms in a simple manner in order to make them understandable by the students of entomology and all those who are not the experts of entomology rather they encounter such technical words while dealing with the related literature and fail to find their meaning in general English dictionaries. The students of biology and agriculture sciences in the beginning face lot of problems in understanding the subject because of poor knowledge of such technical words. The individual technical word having different applications have been incorporated in a convincible manner. Therefore, this dictionary will serve as a ready reckoner for all those who wish to understand the science of entomology. This dictionary will also be useful to understand and solve the objective type questions by all those who are to appear in some competitive examinations either for admission in universities or to seek job in the field of entomology and plant protection. It is believed that this dictionary will be useful for the teachers, students, scientists, technologists, extension specialists and all those who deal insects in one way or the other.
As of 2022, India's population was 1.417 billion. By 2030, the nation is expected to have more than 1.5 billion residents, making it the most populated in the world. Food is one of the most vital resources and there is a considerably larger need for resources now than there ever was due to the expanding population. Even though more than half of India's population works in agriculture, the country is fundamentally an agrarian economy, yet the agriculture industry has long experienced certain difficulties. The agricultural sector, which forms the foundation of the Indian economy, accounts for around 16.5% of the country's GDP. The art and science of cultivating a piece of land producing crops, and rearing livestock is known as agriculture. It gives the world food and textiles. Leather, wool, cotton and wood are other resources provided by agriculture. In India, agriculture is the primary source of income for the vast majority of people and is hence extremely important. Currently, the nation is dealing with second-generation issues, particularly those pertaining to nutrition, sustainability, the uptake of new agricultural technology and possibly most crucially the income levels of the farming-dependent populace. Agriculture is dealing with brand-new, unheard-of difficulties. The necessity for sustainable agriculture is more important than ever in light of the world's expanding population and rising food demand. The goal of this comprehensive reference, "Modern Techniques to Sustainable Agriculture" is to provide readers with up-to-date knowledge on the newest approaches and techniques in the field of sustainable agriculture. It seeks to close the knowledge gap between conventional agricultural methods and the demands of sustainable, eco-friendly agriculture. It is a thorough manual for comprehending and putting into practice sustainable agricultural methods that may feed the globe without depleting natural resources. It is divided into chapters that each cover a particular method or methodology, including a thorough summary, a how-to manual, and examples of successful applications of the method. It covers a wide range of issues that are essential to our agricultural systems' sustainability, from crop rotation and organic farming to precision agriculture and agroforestry. Anyone with an interest in agriculture, be it a student, researcher, policymaker, or farmer, is the target audience for this book. Regardless of your level of experience with the subject, everyone can easily understand the way the material is presented. This book aims to inform as well as motivate a new generation of scholars, farmers, academicians, and policymakers to embrace sustainable farming techniques that will determine the direction of agriculture in the future. The methods in this book have been shown to boost output while reducing environmental effect and are supported by extensive scientific study. We really believe that reading this book will help you better grasp the potential and difficulties that the sustainable agricultural industry faces. But above all, we hope that it will work as a catalyst, inspiring more people to engage in sustainable agriculture. We encourage you, the reader, to use these methods in your own farming endeavors in addition to taking lessons from this book. Share your insights, triumphs, and difficulties with others. By working together, we can make agriculture sustainable in the future. We are grateful that you have joined us on this adventure. Let's work together to create a future in which agriculture serves both the purpose of feeding the world and safeguarding it for future generations.
Master Computer Vision concepts using Deep Learning with easy-to-follow steps DESCRIPTIONÊ This book starts with setting up a Python virtual environment with the deep learning framework TensorFlow and then introduces the fundamental concepts of TensorFlow. Before moving on to Computer Vision, you will learn about neural networks and related aspects such as loss functions, gradient descent optimization, activation functions and how backpropagation works for training multi-layer perceptrons. To understand how the Convolutional Neural Network (CNN) is used for computer vision problems, you need to learn about the basic convolution operation. You will learn how CNN is different from a multi-layer perceptron along with a thorough discussion on the different building blocks of the CNN architecture such as kernel size, stride, padding, and pooling and finally learn how to build a small CNN model.Ê Next, you will learn about different popular CNN architectures such as AlexNet, VGGNet, Inception, and ResNets along with different object detection algorithms such as RCNN, SSD, and YOLO. The book concludes with a chapter on sequential models where you will learn about RNN, GRU, and LSTMs and their architectures and understand their applications in machine translation, image/video captioning and video classification. KEY FEATURESÊ Setting up the Python and TensorFlow environment Learn core Tensorflow concepts with the latest TF version 2.0 Learn Deep Learning for computer vision applicationsÊ Understand different computer vision concepts and use-cases Understand different state-of-the-art CNN architecturesÊ Build deep neural networks with transfer Learning using features from pre-trained CNN models Apply computer vision concepts with easy-to-follow code in Jupyter Notebook WHAT WILL YOU LEARNÊ This book will help the readers to understand and apply the latest Deep Learning technologies to different interesting computer vision applications without any prior domain knowledge of image processing. Thus, helping the users to acquire new skills specific to Computer Vision and Deep Learning and build solutions to real-life problems such as Image Classification and Object Detection. This book will serve as a basic guide for all the beginners to master Deep Learning and Computer Vision with lucid and intuitive explanations using basic mathematical concepts. It also explores these concepts with popular the deep learning framework TensorFlow. WHO THIS BOOK IS FOR This book is for all the Data Science enthusiasts and practitioners who intend to learn and master Computer Vision concepts and their applications using Deep Learning. This book assumes a basic Python understanding with hands-on experience. A basic senior secondary level understanding of Mathematics will help the reader to make the best out of this book.Ê Table of Contents 1. Introduction to TensorFlow 2. Introduction to Neural NetworksÊ 3. Convolutional Neural NetworkÊÊ 4. CNN Architectures 5. Sequential Models
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