This book describes in detail various aspects of fluoride toxicity in animals. Animals, like human beings, suffer from the toxic effects of excess fluoride intake. They show pathological changes in their teeth and bone, together with a marked reduction in appetite, productive and reproductive potentials, which can result in severe economic losses in the dairy industry. Laboratory and wild animals also suffer from this ailment. Animal suffering and economic losses alike can be minimized through early diagnosis of the problem and by adopting suitable preventive and therapeutic measures. The book details the susceptibility of different animal species, important sources of toxicity, clinical signs and symptoms, pathophysiology, diagnostic methods, preventive and therapeutic approaches. It offers a valuable resource for scientists working in the fields of toxicology, veterinary science, animal nutrition, and environmental science, as well as for public health workers, animal welfare activists, public health veterinarians, field veterinarians, medical professionals and all others interested in the subject.
This book analyses India’s trade policy evolution in the last two decades in the broad context of trends and patterns in global trade and in particular, with reference to the emergence of global value chains (GVCs). Through an in-depth analysis of its trade policy evolution in the 2000s, the author explains India’s limited share of global merchandise trade, especially manufacturing trade and relatively low GVC integration. The book discusses India’s trade policy, pattern and global trade participation not just in the comparative context of China as is true of most analyses relating to the Indian economy, economic reforms and trade liberalization in India but also in the context of regional economies like Vietnam, Thailand, Malaysia, Bangladesh and other emerging market economies (EMEs) that have successfully integrated with GVCs/ RVCs in the period under reference. Progress and nature of India’s value chain participation relative to other economies has been evaluated in this context. The book further examines policy developments with respect to traditional trade measures like tariffs and export schemes, trade and GVC related policies in special economic zones (SEZs) as well as GVC-facilitating policy instruments such as regional/ free trading agreements (RTAs/FTAs) and investment treaties. Three sectoral case studies - automobiles, textiles and apparel and electronics - are presented to examine India’s participation in these dynamic GVC intensive sectors. An important study of one of the fastest growing economies in the world for almost two decades, this book will be of substantial interest to academics and policymakers in the fields of Economics, International Economics, Foreign Policy, Economic Relations, Economic Diplomacy, Indian- Southeast/East Asian Economics.
INTRODUCTION LITRATURE REVIEW The study of the dispersion of airborne biological materials as pollen, spores, micro- organisms or viruses. Aerobiology is branch of biology that studies organic particles, such as bacteria, fungal spores, very small insect, pollen grains and viruses, which are passively transported by the air(Spieksma, 1991) Aerobiology have traditionally been involved in the measurement and reporting of airborne pollen and fungal spores as a service to allergy sufferers(Larsson, 1993). In 2002 algae and other small water borne organisms were discovered to inhibit clouds. A large cloud has about as much water as a shallow lake of the same geographic size. Aerobiology is rapidly developing science which also involves interactions with engineering and meteorology.
Most people view cultural heritage sites as static places, frozen in time. In Cultural Landscapes in India, Amita Sinha subverts the idea of heritage as static and examines the ways that landscapes influence culture and that culture influences landscapes. The book centers around imagining, enacting, and reclaiming landscapes as subjects and settings of living cultural heritage. Drawing on case studies from different regions of India, Sinha offers new interpretations of links between land and culture using different ways of seeing—transcendental, romantic, and utilitarian. The idea of cultural landscape can be seen in ancient practices such as circumambulation and immersion in bodies of water that sustain engagement with natural elements. Pilgrim towns, medieval forts, religious sites, and contemporary memorial parks are sites of memory where myth and history converge. Engaging with these spaces allows us to reconstruct collective memory and reclaim not only historic landscapes, but ways of seeing, making, and remembering. Cultural Landscapes in India makes the case for reclaiming iconic landscapes and rethinking conventional approaches to conservation that take into consideration performative landscape as heritage.
Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects Key FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with TensorFlow's impressive range of module offeringsImplement projects on GANs, reinforcement learning, and capsule networkBook Description TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work. What you will learnUnderstand the TensorFlow ecosystem using various datasets and techniquesCreate recommendation systems for quality product recommendationsBuild projects using CNNs, NLP, and Bayesian neural networksPlay Pac-Man using deep reinforcement learningDeploy scalable TensorFlow-based machine learning systemsGenerate your own book script using RNNsWho this book is for TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques
This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.
This book presents a comparative study of the vision, ability and dynamism on the part of governments in selected Asian Pacific countries as they engage in the distribution of e-governance. Consequently, it creates a platform for mutual learning and offers a dispassionate evaluation of mega e-projects. It is an interdisciplinary study of information and communication technology within mainstream social science research and attempts to bridge the gap in empirical research between the nature of technology and the manner in which it is governed. The analysis shows that hegemonic and panoptic structures of surveillance and control may derail efforts to establish sustainable e-governance, while a liberal futuristic framework with open socio-technology networks on Big Data analytics, IPv6 and Cloud Computing may strengthen the trend towards democratizing institutions. Further, the book highlights the extraordinary energy being generated in the emerging new world through their use of the internet and suggests how governments could translate this into a new wealth of economic opportunities, social inclusion and equitable development, in addition to achieving the MDGs (Millenium Development Goals). Lastly, it emphasizes the importance of a visionary approach, which, wherever present, has been able to sustain e-governance by meaningfully linking the micro to the macro and heritage to the horizon.
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