What Fuels Transformers in Computer Vision? Unraveling ViT's Advantages

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Publisher :
ISBN 13 : 9783346993311
Total Pages : 0 pages
Book Rating : 4.9/5 (933 download)

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Book Synopsis What Fuels Transformers in Computer Vision? Unraveling ViT's Advantages by : Tolga Topal

Download or read book What Fuels Transformers in Computer Vision? Unraveling ViT's Advantages written by Tolga Topal and published by . This book was released on 2024-01-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technologies for Education

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Publisher :
ISBN 13 : 9780894921124
Total Pages : 202 pages
Book Rating : 4.9/5 (211 download)

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Book Synopsis Technologies for Education by : Wadi D. Haddad

Download or read book Technologies for Education written by Wadi D. Haddad and published by . This book was released on 2002-01-01 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning with PyTorch

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Publisher : Simon and Schuster
ISBN 13 : 1638354073
Total Pages : 518 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning with PyTorch by : Luca Pietro Giovanni Antiga

Download or read book Deep Learning with PyTorch written by Luca Pietro Giovanni Antiga and published by Simon and Schuster. This book was released on 2020-07-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: “We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference document.” —Soumith Chintala, co-creator of PyTorch Key Features Written by PyTorch’s creator and key contributors Develop deep learning models in a familiar Pythonic way Use PyTorch to build an image classifier for cancer detection Diagnose problems with your neural network and improve training with data augmentation Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands. Instantly familiar to anyone who knows Python data tools like NumPy and Scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It’s great for building quick models, and it scales smoothly from laptop to enterprise. Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated. All code samples are easy to explore in downloadable Jupyter notebooks. What You Will Learn Understanding deep learning data structures such as tensors and neural networks Best practices for the PyTorch Tensor API, loading data in Python, and visualizing results Implementing modules and loss functions Utilizing pretrained models from PyTorch Hub Methods for training networks with limited inputs Sifting through unreliable results to diagnose and fix problems in your neural network Improve your results with augmented data, better model architecture, and fine tuning This Book Is Written For For Python programmers with an interest in machine learning. No experience with PyTorch or other deep learning frameworks is required. About The Authors Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. Thomas Viehmann is a Machine Learning and PyTorch speciality trainer and consultant based in Munich, Germany and a PyTorch core developer. Table of Contents PART 1 - CORE PYTORCH 1 Introducing deep learning and the PyTorch Library 2 Pretrained networks 3 It starts with a tensor 4 Real-world data representation using tensors 5 The mechanics of learning 6 Using a neural network to fit the data 7 Telling birds from airplanes: Learning from images 8 Using convolutions to generalize PART 2 - LEARNING FROM IMAGES IN THE REAL WORLD: EARLY DETECTION OF LUNG CANCER 9 Using PyTorch to fight cancer 10 Combining data sources into a unified dataset 11 Training a classification model to detect suspected tumors 12 Improving training with metrics and augmentation 13 Using segmentation to find suspected nodules 14 End-to-end nodule analysis, and where to go next PART 3 - DEPLOYMENT 15 Deploying to production

The Best Democracy Money Can Buy

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Publisher : Penguin
ISBN 13 : 110121323X
Total Pages : 405 pages
Book Rating : 4.1/5 (12 download)

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Book Synopsis The Best Democracy Money Can Buy by : Greg Palast

Download or read book The Best Democracy Money Can Buy written by Greg Palast and published by Penguin. This book was released on 2003-02-25 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Palast is astonishing, he gets the real evidence no one else has the guts to dig up." Vincent Bugliosi, author of None Dare Call it Treason and Helter Skelter Award-winning investigative journalist Greg Palast digs deep to unearth the ugly facts that few reporters working anywhere in the world today have the courage or ability to cover. From East Timor to Waco, he has exposed some of the most egregious cases of political corruption, corporate fraud, and financial manipulation in the US and abroad. His uncanny investigative skills as well as his no-holds-barred style have made him an anathema among magnates on four continents and a living legend among his colleagues and his devoted readership. This exciting collection, now revised and updated, brings together some of Palast's most powerful writing of the past decade. Included here are his celebrated Washington Post exposé on Jeb Bush and Katherine Harris's stealing of the presidential election in Florida, and recent stories on George W. Bush's payoffs to corporate cronies, the payola behind Hillary Clinton, and the faux energy crisis. Also included in this volume are new and previously unpublished material, television transcripts, photographs, and letters.

World War Z

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Publisher : Broadway Books
ISBN 13 : 0770437400
Total Pages : 434 pages
Book Rating : 4.7/5 (74 download)

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Book Synopsis World War Z by : Max Brooks

Download or read book World War Z written by Max Brooks and published by Broadway Books. This book was released on 2013 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: An account of the decade-long conflict between humankind and hordes of the predatory undead is told from the perspective of dozens of survivors who describe in their own words the epic human battle for survival, in a novel that is the basis for the June 2013 film starring Brad Pitt. Reissue. Movie Tie-In.

The 'Made in Germany' Champion Brands

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Publisher : Routledge
ISBN 13 : 1317025032
Total Pages : 296 pages
Book Rating : 4.3/5 (17 download)

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Book Synopsis The 'Made in Germany' Champion Brands by : Ugesh A. Joseph

Download or read book The 'Made in Germany' Champion Brands written by Ugesh A. Joseph and published by Routledge. This book was released on 2016-03-09 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Germany’s economic miracle is a widely-known phenomenon, and the world-leading, innovative products and services associated with German companies are something that others seek to imitate. In The ’Made in Germany’Â’ Champion Brands, Ugesh A. Joseph provides an extensively researched, insightful look at over 200 of Germany’s best brands to see what they stand for, what has made them what they are today, and what might be transferable. The way Germany is branded as a nation carries across into the branding of its companies and services, particularly the global superstar brands - truly world-class in size, performance and reputation. Just as important are the medium-sized and small enterprises, known as the 'Mittelstand'. These innovative and successful enterprises from a wide range of industries and product / service categories are amongst the World market leaders in their own niche and play a huge part in making Germany what it is today. The book also focuses on German industrial entrepreneurship and a selection of innovative and emergent stars. All these companies are supported and encouraged by a sophisticated infrastructure of facilitators, influencers and enhancers - the research, industry, trade and standards organizations, the fairs and exhibitions and all the social and cultural factors that influence, enhance and add positive value to the country's image. Professionals or academics interested in business; entrepreneurship; branding and marketing; product or service development; international trade and business development policy, will find fascinating insights in this book; while those with an interest in Germany from emerging industrial economies will learn something of the secrets of German success.

Beginning Anomaly Detection Using Python-Based Deep Learning

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Publisher : Apress
ISBN 13 : 1484251776
Total Pages : 427 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Beginning Anomaly Detection Using Python-Based Deep Learning by : Sridhar Alla

Download or read book Beginning Anomaly Detection Using Python-Based Deep Learning written by Sridhar Alla and published by Apress. This book was released on 2019-10-10 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks. This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs & LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics of time series-based anomaly detection. By the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch. What You Will LearnUnderstand what anomaly detection is and why it is important in today's world Become familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn Know the basics of deep learning in Python using Keras and PyTorch Be aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more Apply deep learning to semi-supervised and unsupervised anomaly detection Who This Book Is For Data scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection

Mastering PyTorch

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Publisher : Packt Publishing Ltd
ISBN 13 : 1789616409
Total Pages : 450 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Mastering PyTorch by : Ashish Ranjan Jha

Download or read book Mastering PyTorch written by Ashish Ranjan Jha and published by Packt Publishing Ltd. This book was released on 2021-02-12 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master advanced techniques and algorithms for deep learning with PyTorch using real-world examples Key Features Understand how to use PyTorch 1.x to build advanced neural network models Learn to perform a wide range of tasks by implementing deep learning algorithms and techniques Gain expertise in domains such as computer vision, NLP, Deep RL, Explainable AI, and much more Book DescriptionDeep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai. By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.What you will learn Implement text and music generating models using PyTorch Build a deep Q-network (DQN) model in PyTorch Export universal PyTorch models using Open Neural Network Exchange (ONNX) Become well-versed with rapid prototyping using PyTorch with fast.ai Perform neural architecture search effectively using AutoML Easily interpret machine learning (ML) models written in PyTorch using Captum Design ResNets, LSTMs, Transformers, and more using PyTorch Find out how to use PyTorch for distributed training using the torch.distributed API Who this book is for This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.

Applied Natural Language Processing in the Enterprise

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492062545
Total Pages : 336 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Applied Natural Language Processing in the Enterprise by : Ankur A. Patel

Download or read book Applied Natural Language Processing in the Enterprise written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2021-05-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production

Exploring the Heart Sutra

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Publisher : Rowman & Littlefield
ISBN 13 : 1498599419
Total Pages : 267 pages
Book Rating : 4.4/5 (985 download)

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Book Synopsis Exploring the Heart Sutra by : Sarah A. Mattice

Download or read book Exploring the Heart Sutra written by Sarah A. Mattice and published by Rowman & Littlefield. This book was released on 2021-10-18 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the Heart Sutra offers readers an interdisciplinary philosophical approach to this much-loved Buddhist classic, with a new translation and commentary. Situating the Heart Sutra within a Chinese context, Sarah A. Mattice brings together voices past and present, Asian and Western, on topics from Buddhology, translation theory, feminism, religious studies, ethnography, Chinese philosophy, and more, in order to inspire readers to understand the sutra in a new light. Mattice’s argument for the importance of appreciating the Heart Sutra from a Chinese philosophical context includes a new hermeneutic paradigm for approaching composite texts; an argument for translating the text from the Chinese, rather than the Sanskrit; an extended discussion of the figure of Guanyin, bodhisattva of compassion and main speaker of the Heart Sutra, as a distinctively Chinese figure; an inquiry in to the history of women’s practice, with a special focus on China; and a commentary on the text that draws on philosophical resources from Chinese Buddhist, Ruist, and Daoist traditions. Mattice presents the Heart Sutra in its depth and complexity, inviting readers to return to this classic text with fresh perspectives and new insights into its relevance for living well in the contemporary world.

Strategic System Assurance and Business Analytics

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Publisher : Springer Nature
ISBN 13 : 9811536473
Total Pages : 603 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Strategic System Assurance and Business Analytics by : P. K. Kapur

Download or read book Strategic System Assurance and Business Analytics written by P. K. Kapur and published by Springer Nature. This book was released on 2020-06-19 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically examines and quantifies industrial problems by assessing the complexity and safety of large systems. It includes chapters on system performance management, software reliability assessment, testing, quality management, analysis using soft computing techniques, management analytics, and business analytics, with a clear focus on exploring real-world business issues. Through contributions from researchers working in the area of performance, management, and business analytics, it explores the development of new methods and approaches to improve business by gaining knowledge from bulk data. With system performance analytics, companies are now able to drive performance and provide actionable insights for each level and for every role using key indicators, generate mobile-enabled scorecards, time series-based analysis using charts, and dashboards. In the current dynamic environment, a viable tool known as multi-criteria decision analysis (MCDA) is increasingly being adopted to deal with complex business decisions. MCDA is an important decision support tool for analyzing goals and providing optimal solutions and alternatives. It comprises several distinct techniques, which are implemented by specialized decision-making packages. This book addresses a number of important MCDA methods, such as DEMATEL, TOPSIS, AHP, MAUT, and Intuitionistic Fuzzy MCDM, which make it possible to derive maximum utility in the area of analytics. As such, it is a valuable resource for researchers and academicians, as well as practitioners and business experts.

Liquid Life

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Publisher :
ISBN 13 : 9781950192182
Total Pages : 600 pages
Book Rating : 4.1/5 (921 download)

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Book Synopsis Liquid Life by : Rachel Armstrong

Download or read book Liquid Life written by Rachel Armstrong and published by . This book was released on 2019 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: If we lived in a liquid world, the concept of a "machine" would make no sense. Liquid life is metaphor and apparatus that discusses the consequences of thinking, working, and living through liquids. It is an irreducible, paradoxical, parallel, planetary-scale material condition, unevenly distributed spatially, but temporally continuous. It is what remains when logical explanations can no longer account for the experiences that we recognize as part of "being alive."Liquid Life references a third-millennial understanding of matter that seeks to restore the agency of the liquid soul for an ecological era, which has been banished by reductionist, "brute" materialist discourses and mechanical models of life. Offering an alternative worldview of the living realm through a "new materialist" and "liquid" study of matter, Armstrong conjures forth examples of creatures that do not obey mechanistic concepts like predictability, efficiency, and rationality. With the advent of molecular science, an increasingly persuasive ontology of liquid technologies can be identified. Through the lens of lifelike dynamic droplets, the agency for these systems exists at the interfaces between different fields of matter/energy that respond to highly local effects, with no need for a central organizing system.Liquid Life seeks an alternative partnership between humanity and the natural world. It provokes a re-invention of the languages of the living realm to open up alternative spaces for exploration, including contributor Rolf Hughes' "angelology" of language, which explores the transformative invocations of prose poetry, and Simone Ferracina's graphical notations that help shape our concepts of metabolism, upcycling, and designing with fluids. A conceptual and practical toolset for thinking and designing, liquid life reunites us with the irreducible "soul substance" of living things, which will neither be simply "solved," nor go away.

Applications of Computing, Automation and Wireless Systems in Electrical Engineering

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Publisher : Springer
ISBN 13 : 9811367728
Total Pages : 1296 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Computing, Automation and Wireless Systems in Electrical Engineering by : Sukumar Mishra

Download or read book Applications of Computing, Automation and Wireless Systems in Electrical Engineering written by Sukumar Mishra and published by Springer. This book was released on 2019-05-31 with total page 1296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications. Gathering edited papers presented at MARC 2018 on July 19, 2018, it will help researchers pursue and promote advanced research in the fields of electrical engineering, communication, computing and manufacturing.

Sustainable Communication Networks and Application

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Publisher : Springer Nature
ISBN 13 : 9811586772
Total Pages : 683 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Sustainable Communication Networks and Application by : P. Karuppusamy

Download or read book Sustainable Communication Networks and Application written by P. Karuppusamy and published by Springer Nature. This book was released on 2021-01-25 with total page 683 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes novel and state-of-the-art research discussions that articulate and report all research aspects, including theoretical and experimental prototypes and applications that incorporate sustainability into emerging applications. In recent years, sustainability and information and communication technologies (ICT) are highly intertwined, where sustainability resources and its management has attracted various researchers, stakeholders, and industrialists. The energy-efficient communication technologies have revolutionized the various smart applications like smart cities, healthcare, entertainment, and business. The book discusses and articulates emerging challenges in significantly reducing the energy consumption of communication systems and also explains development of a sustainable and energy-efficient mobile and wireless communication network. It includes best selected high-quality conference papers in different fields such as internet of things, cloud computing, data mining, artificial intelligence, machine learning, autonomous systems, deep learning, neural networks, renewable energy sources, sustainable wireless communication networks, QoS, network sustainability, and many other related areas.

Biotechnology: Prospects and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 8132216830
Total Pages : 313 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Biotechnology: Prospects and Applications by : R.K. Salar

Download or read book Biotechnology: Prospects and Applications written by R.K. Salar and published by Springer Science & Business Media. This book was released on 2014-02-06 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biotechnology: Prospects and Applications covers the review of recent developments in biotechnology and international authorship presents global issues that help in our understanding of the role of biotechnology in solving important scientific and societal problems for the benefit of mankind and environment. A balanced coverage of basic molecular biology and practical applications, relevant examples, colored illustrations, and contemporary applications of biotechnology provide students and researchers with the tools and basic knowledge of biotechnology. In our effort to introduce students and researchers to cutting edge techniques and applications of biotechnology, we dedicated specific chapters to such emerging areas of biotechnology as Emerging Dynamics of Brassinosteroids Research, Third generation green energy, Bioremediation, Metal Organic Frameworks: New smart materials for biological application, Bioherbicides, Biosensors, Fetal Mesenchymal Stem Cells and Animal forensics. Biotechnology: Prospects and Applications will be highly useful for students, teachers and researchers in all disciplines of life sciences, agricultural sciences, medicine, and biotechnology in universities, research stations and biotechnology companies. The book features broader aspects of the role of biotechnology in human endeavor. It also presents an overview of prospects and applications while emphasizing modern, cutting-edge, and emerging areas of biotechnology. Further, it provides the readers with a comprehensive knowledge of topics in food and agricultural biotechnology, microbial biotechnology, environmental biotechnology and animal biotechnology. The chapters have been written with special reference to the latest developments in above broader areas of biotechnology that impact the biotechnology industry. A list of references at the end of each chapter is provided for the readers to learn more about a particular topic. Typically, these references include basic research, research papers, review articles and articles from the popular literature.

The Theory Of Celestial Influence

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Publisher : Lulu.com
ISBN 13 : 0244450161
Total Pages : 464 pages
Book Rating : 4.2/5 (444 download)

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Book Synopsis The Theory Of Celestial Influence by : Rodney Collin

Download or read book The Theory Of Celestial Influence written by Rodney Collin and published by Lulu.com. This book was released on 2019-01-15 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Before Paulo Coelho and Eckhart Tolle came Rodney Collin. A huge 462 page book full of essential knowledge. How To Become Supernatural Man, The Universe and Cosmic Mystery is an exploration of the universe and man's place in it. Rodney Collin examines 20th-century scientific discoveries and traditional esoteric teachings and concludes that the driving force behind everything is neither procreation nor survival, but expansion of awareness. Collin sets out to reconcile the considerable contradictions of the rational and imaginative minds and of the ways we see the external world versus our inner selves. For readers familiar with Gurdjieff's cosmology will here find further examinations of the systems outlined in by Ouspensky in Search of the Miraculous.

Local, Slow and Sustainable Fashion

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Publisher : Springer Nature
ISBN 13 : 3030883000
Total Pages : 224 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Local, Slow and Sustainable Fashion by : Ingun Grimstad Klepp

Download or read book Local, Slow and Sustainable Fashion written by Ingun Grimstad Klepp and published by Springer Nature. This book was released on 2022-02-01 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the importance of the agriculturally-based fiber and textile industry, and how local, small-scale operations and markets, coupled with a connection to soil health, can lead the way to new transformative changes. It draws on a four-year research project on Norwegian wool, as well as similar studies in Poland and Portugal. It also explores the role of women and the Indigenous perspective: in Europe this will constitute Sami and Inuit, in Northern America the Inuit and First Nations in Canada, along with Native Americans. Born out of academic interest in the slow food movement, the importance of local raw materials has been put under the spotlight in recent years. Meanwhile, the havoc wreaked by the fast fashion industry has been drawing attention to the need for a new, sustainable approach to clothing and textile manufacture. This edited collection is unique in its scope, taking the conversation beyond traditional debates around fast fashion and agriculture, and examining how textile industry is rooted in the land, and within society and community. Featuring a diverse range of authors, the book will be valuable reading for academics interested in sustainable management, the study of consumption, the study of Indigenous perspectives, and the study of agricultural practices.