Provides an overview of the role engineering plays in climate change and environmental pollution Presents an updated overview of Green Engineering focusing on green technology Innovations Explores energy management strategies Discusses green communication technologies, green computing technologies, green smart buildings, green smart lighting, green smart mobility management, fuel-efficient transportation, paperless offices, energy efficiency measures, waste recycling, etc. Identifies the development of sustainable plans and programs at the urban level within the current legislative framework

Protein Byproducts: Transformation from Environmental Burden into Value-Added Products deals with the added value of proteinaceous waste byproducts, discussing in detail the different sources of protein-rich byproducts, their extraction, recovery, and characterization. The book provides thorough insights into different protein modification techniques to extend the product portfolio using these waste byproducts. Divided between three main sections, the book covers various feedstock resources, such as animal-derived/plant-derived proteins, marine waste-derived proteins, protein extraction and recovery methods, and related technical issues including modification and conversion technologies for the production of high value bioproducts. It contains contributions from experts in the fields of applied industrial microbiology, engineering, bioprocess technology, protein chemistry, food chemistry, agriculture, plant sciences, environmental science, and waste management, serving as a comprehensive reference for students and research scientists in the food and agriculture industries.

Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine.

This book constitutes the refereed proceedings of the International Conference on Information Systems for Indian Languages, ICISIL 2011, held in Patiala, India, in March 2011. The 63 revised papers presented were carefully reviewed and selected from 126 paper submissions (full papers as well as poster papers) and 25 demo submissions. The papers address all current aspects on localization, e-governance, Web content accessibility, search engine and information retrieval systems, online and offline OCR, handwriting recognition, machine translation and transliteration, and text-to-speech and speech recognition - all with a particular focus on Indic scripts and languages.

Agro-industrial wastes are end-products emerging after industrial processing operations and also from their treatment and disposal e.g. solid fruit wastes and sludge. The agro-industrial wastes are often present in multiphase and comprise multicomponent. Nevertheless, these wastes are a goldmine as they possess valuable organic matter which can be diverted towards high value products ranging from polymers to antibiotics to platform chemicals. There have been plenty of books published on bioenergy, enzymes and organic acids, among others. However, this emerging field of biochemical has not yet been covered so far which is an important entity of the biorefinery model from waste biomass and needs to be understood from fundamental, applied as well as commercial perspective which has been laid out in this book.

Swami Dayanand Saraswati (1824-1883), the founder of Arya Samaj and author of many works including Satyarth Prakash, that is known as his magnum opus is known for his call of back to Vedas. He was an aggressive proponent of Aryan and Vedic supremacy and founded a sect called "Arya Samaj" that literally means "Society of Nobles." He was the one who started "Shudhhi" or reconversion ceremonies to bring back Hindus who have converted to other religions. He gave a new interpretation to Vedas never heard before to suit his agenda of Vedic or Aryan supremacy. He was a polarizing figure and the legacy he left behind can be seen in today's Modis, Togadias, and Advanis. His hostility towards other religions can be gauged from the words he used to describe anything non-Vedic. He called Jesus a savage, Guru Nanak an ignorant hypocrite and Muhammad as pugnacious. However not much is known about his personal life and whatever information has been made available is contradictory. This book reveals the enigmatic Swami, his venomous teachings and his fancy interpretation of Vedas from the horse's own mouth.

Compression methods are being rapidly developed to compress large data files such as images, where data compression in multimedia applications has lately become more vital .With the increasing growth of technology and the entrance into the digital age, a vast amount of image data must be handled to be stored in a proper way using efficient methods usually succeed in compressing images, while retaining high image quality and marginal reduction in image size .Wavelets are a mathematical tool for hierarchically decomposing functions. Image compression using Wavelet Transforms is a powerful method that is preferred by scientists to get the compressed images at higher compression ratios with higher PSNR values.

There have been many developments in the field of facilitated model based verification and validation techniques. Most of them have been based upon observing the external behaviour of the system. Our approach follows the same and is valid with the source code of the system under observance is not available Inference mechanism allow us to infer such machine models by observing. We present a framework which adopts to generate component with infinite/finite states and adapt to formal verifications. The models used are communication protocol inferred by regular inference observed through the behaviour of communication protocol entity. Also, an approach is presented such that the observed behaviour of the protocol validates to the designed model of the protocol.

Most foods are considered functional in terms of providing nutrients and/or energy to sustain basic life, but nutraceuticals and functional foods are defined dietary foods that prevent or reverse a diseased state. Nutraceuticals and functional foods are intensively researched for their role in maintaining health and prevention of diseases. Increasing public awareness of the link between diet and health has boosted the consumption of these foods to unparalleled levels, particularly in countries where the population is ageing and health care costs are rising. The science behind these foods is growing rapidly not only because of the increasing number of new substances or type of novel foods, but also the regulatory bodies requiring more and more evidence on efficacy, mode-of-action and safety. The nutraceuticals market is growing rapidly, with a 2016 forecast value of $207 billion, according to a new report available on companiesandmarkets.com. The latest trend in nutraceuticals and functional foods sector has been the recovery of nutraceuticals from discarded fruits and vegetables. For example, a wave of possible new functional ingredients is being developed by the Irish Agriculture and Food Development Authority (Teagasc), some of which are derived from waste products. One of their findings has shown that onion peels, a common by-product of food processing, have a higher antioxidant activity than their flesh. Onions are rich in quercetin, a potent antioxidant, also found in apples, berries and other vegetables. This has opened a completely new research area by deriving the potentially important nutraceuticals and functional foods in much higher concentrations than their principal parts. In fact, this would bring in the verbatim of sustainable nutraceutical and functional food sector by putting the focus on the valuable wastes and their value-addition.

Communication Networks are growing at a rapid pace; so is it's complexity and depleting nature of quality in services. There arises a need to have a mechanism which can actually determine the best possible way to increase the efficiency of communication being carried out. To this very issue, Fuzzy logic application presents an answer and this book deals with one such way taking into account specific criterion so as to calculate best possible path to have a successful communication.

"Solid Waste Routing by Exploiting Ant Colony Optimization" is a new work which is influenced by the problem arising now a days by the solid waste generated in metro (big) cities. The waste generated on daily bases creates a lot of problem in environment. Solid Waste Management has evolved as a complex discipline in the last decades. One key subsystem of solid waste management is designing vehicle routes with all the realistic constraints. The basic problem consists of collecting garbage house by house and, therefore street by street. The management of urban solid waste is intrinsically complex, because it involves various relative factors, which are often in conflict. Moreover, given that this solution cannot be reduced easily to the optimization, a formal multi-criteria urban waste management approach is needed.

Volumetric measurement using the mammography has been done in the work which can help significantly for evaluating therapeutic response. The ability to accurately calculate the in vivo volume of tumors also has been achieved in this work. In vivo tumor volume measurement using mammography is the main strength of this study. The volume using the mammography will have been the advantage as a response evaluation tool. It can be routinely used in clinical oncology practice. Tumor volume is a more representative quantity of three dimensional tumor mass which is generally of irregular shape and size. The present study underlines the use of Doppler as its cheap examine tool for evaluation the chemotherapy response. It is another significant contribution to the existing literature. Restivity Index (RI), Pulsatility Index (PI) and peak systolic velocity are the Doppler parameters for evaluation of the drug response in cancer patients. Clinical study of the various antioxidant levels like r-SOD, r-GPx, r-catalase and FRAP observed at respective intervals after various cycles of chemotherapy and mastectomy in case of breast cancer has been done.

Indian economy has been experiencing high rate of growth and a structural transformation during the last two decades. The growth attained is skewed with manufacturing and services sectors being the forerunners and the agricultural sector lagging behind. The agricultural growth has been decelerating since the last two decades. It has been argued that the severity of the on-going agrarian crisis would have forced the peasants to leave agriculture and to join the non-cultivation sector where there has been expansion of employment opportunities. The process is evident in all the regions but there exists significant inter-regional variations. The North-western region, in particular Punjab, has shown a relatively higher fall in the proportion of workforce engaged in agriculture. The shrinking size of the peasantry is referred to as depeasantization. The present study examines the processes and determinants of depeasantization in Punjab and further examines the type of mobility taking place among various classes of peasants.

Extensive numerical computations on the vibrational spectra of amorphous clusters and bulk amorphous systems are performed. Inherent structures are generated for both the systems. For each inherent structure, the vibrational spectra is calculated using standard techniques. For amorphous clusters, we find that over a large central region of the vibrational spectrum, the integrated density of states can be described by the same functional form, containing only one scale of frequency in all the cases and the spectral fluctuations are described by the Gaussian orthogonal ensemble of the Random matrices to an extra ordinarily high degree of accuracy.For bulk amorphous systems, at constant pressure, using techniques of Monte Carlo simulations and the Conjugate gradient method of minimization we demonstrate the change in nature of the vibrational spectrum as one goes from crystalline state to completely amorphous states and there are indeed certain limiting conditions in which the normalized density of states assume a universal shape over the entire spectrum.

Anti-racism studies have blossomed over the years with scholarship and political work reinforcing each other to cement anti-racist change. But how do we understand anti-racist research? How is anti-racist research methodology different from other methods of research investigation? What are the principles of anti-racism research? This edited collection attempts to provide some answers by bringing together works that examine the perils and desires of anti-racist research with a particular focus on the notion of 'difference' and a serious consideration of the race, gender, class, and sexuality intersections/implications of educational research.

Agro-industrial wastes are end-products emerging after industrial processing operations and also from their treatment and disposal e.g. solid fruit wastes and sludge. The agro-industrial wastes are often present in multiphase and comprise multicomponent. Nevertheless, these wastes are a goldmine as they possess valuable organic matter which can be diverted towards high value products ranging from polymers to antibiotics to platform chemicals. There have been plenty of books published on bioenergy, enzymes and organic acids, among others. However, this emerging field of biochemical has not yet been covered so far which is an important entity of the biorefinery model from waste biomass and needs to be understood from fundamental, applied as well as commercial perspective which has been laid out in this book.