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EBookClubs

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Book Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence

Download or read book Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence written by Wang, Yingxu and published by IGI Global. This book was released on 2009-11-30 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive informatics is a multidisciplinary field that acts as the bridge between natural science and information science. Specifically, it investigates the potential applications of information processing and natural intelligence to science and engineering disciplines. This collection, entitled Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence, provides emerging research topics in cognitive informatics research with a focus on such topics as reducing cognitive overload, real-time process algebra, and neural networks for iris recognition, emotion recognition in speech, and the classification of musical chords.

Book Daily Discoveries for NOVEMBER

Download or read book Daily Discoveries for NOVEMBER written by Elizabeth Cole Midgley and published by Lorenz Educational Press. This book was released on 2005-03-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides language arts, social studies, writing, math, science, health, music, drama, physical fitness, and art activities for use in kindergarten through sixth grade classes which celebrate the month of November. Includes lists of books and bulletin board ideas.

Book Drug Discovery for Schizophrenia

Download or read book Drug Discovery for Schizophrenia written by Tatiana V Lipina and published by Royal Society of Chemistry. This book was released on 2015-04-28 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the pioneering pharmacotherapy for treatment of schizophrenia in the 1950s by antipsychotics, only a few major innovations have been made, pointing to a general stagnation in the field of pharmacology of schizophrenia. Drug Discovery for Schizophrenia covers new insights in the field of schizophrenia with an aim to advance the understanding of scientists and clinicians in this area and to fuel drug discovery. The book outlines a change in the way schizophrenia is treated by moving away from focusing only on treating symptoms in patients. Innovative drugs emerge from deeper comprehension of the pathological processes that emerge earlier in life, hence, providing strategies for preventative therapy to alter the course of this mental disorder. Amongst other current topics, the book covers new findings in genetics and epigenetics, progress in animal models for schizophrenia and the usage of induced pluripotent stem cells. The combination of these important areas benefit psychiatric neuroscience, filling the gaps in the knowledge of neurobiology of schizophrenia and providing novel perspectives for future drug development.

Book Machine Learning and Knowledge Discovery in Databases

Download or read book Machine Learning and Knowledge Discovery in Databases written by Walter Daelemans and published by Springer. This book was released on 2008-08-17 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Book The Entrepreneurial Discovery Process and Regional Development

Download or read book The Entrepreneurial Discovery Process and Regional Development written by Åge Mariussen and published by Routledge. This book was released on 2018-12-20 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a broad and long-standing debate on possible solutions to the regional vulnerabilities of globalisation. In 2014, the European Commission began implementing Smart Specialisation Strategy, a place-based strategy of growth, regional transformation and new industrial policy with collective entrepreneurial discovery processes (EDP) at its core. This volume approaches the mystery of entrepreneurial discovery; that is, how relevant knowledge is created, converted and shared in a process of discovery. These essays bring together scholars from economics, geography, sociology, organisation studies, innovation studies, and complexity theory, offering new approaches to overcome the limitations of place-based development and suggesting improved methods leading to growth.

Book Privileged Scaffolds in Drug Discovery

Download or read book Privileged Scaffolds in Drug Discovery written by Bin Yu and published by Elsevier. This book was released on 2023-07-19 with total page 988 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privileged Scaffolds in Drug Discovery is the most complete and up-to-date work in the area. Covering a wide range of privileged structures, it is a perfect reference for scientists involved in targeted drug development. The editors recruited epserts from several prestigious Chinese institutions to cover the areas of antiviral drugs, chalcone, pyrimidine, (benz)imidazoles, natural product-derived privileged scaffolds, N-Sulfonyl carboxamides, kinase inhibitors, antitumor molecules, antineurodegenerative drugs, triazoles, oxazolidinone, indole and indoline scaffolds, tigliane diterpenoids, peptide and peptide-based drugs, quassinoids, and others including pseudonatural products, macrocycles, stable peptides and peptidomimetics. The book also explores scaffolds in drug molecules approved in recent years. Privileged Scaffolds in Drug Discovery is a complete reference for researchers in drug discovery and organic synthesis, in academic and corporate settings, who are investigating privileged structures upon which to base new drugs. Researchers in medicinal chemistry and chemical biology will also find the contents of this book valuable. Provides wide coverage of privileged scaffolds in new drug discovery Includes complex and diverse natural product scaffolds Covers applications to peptides and peptide-based drugs

Book Knowledge Discovery and Data Mining

Download or read book Knowledge Discovery and Data Mining written by O. Maimon and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

Book Knowledge Discovery  Knowledge Engineering and Knowledge Management

Download or read book Knowledge Discovery Knowledge Engineering and Knowledge Management written by Ana Fred and published by Springer Nature. This book was released on 2020-06-25 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2018, held in Seville, Spain, in September 2018. The 12 full papers presented were carefully reviewed and selected from 167 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; and knowledge management and information sharing.

Book Machine Learning and Knowledge Discovery in Databases  Research Track

Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Danai Koutra and published by Springer Nature. This book was released on 2023-09-16 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Book Fuzzy Systems and Knowledge Discovery

Download or read book Fuzzy Systems and Knowledge Discovery written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2006-09-19 with total page 1362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.

Book Drug Discovery and Traditional Chinese Medicine

Download or read book Drug Discovery and Traditional Chinese Medicine written by Yuan Lin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "First International Conference on Traditional Chinese Medicine: Science, Regulation and Globalization" was held from August 30 to September 2, 2000 at the University of Maryland at College Park, Maryland. There were approximately 250 participants from the Peoples Republic of China, Taiwan, Hong Kong and the United States. This objective of this conference was to promote international collaboration for the modernization of Traditional Chinese herbal medicines (TCM) and their introduction into the global health care system. It was mainly sponsored by the Ministry of Science and Technology of the People's Republic of China and the NllI National Center for Complementary and Alternative Medicine (NCCAM). It was organized by Dr. William Tai, then director of the Institute of Global Chinese Affairs at the University of Maryland and Dr. Yuan Lin, president of Marco Polo Technologies, Bethesda, MD. This conference was conceived by Dr. Tai two years earlier recognizing that this was an appropriate time and also the unique location of the University of Maryland. Today, there is a growing recognition of the of alternative medicine in modem societies and the rapid loss of importance knowledge about traditional methods for the treatment of the multitude of human illnesses found throughout the world. TCM has been in common use in China for thousands of years; and many of its formulations are well defined.

Book Sentiment Analysis and Knowledge Discovery in Contemporary Business

Download or read book Sentiment Analysis and Knowledge Discovery in Contemporary Business written by Rajput, Dharmendra Singh and published by IGI Global. This book was released on 2018-08-31 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.

Book Commerce  Justice  Science  and Related Agencies Appropriations for 2018  U S  Census Bureau and the Government Accountability Office  Department of Justice  Federal Bureau of Investigation

Download or read book Commerce Justice Science and Related Agencies Appropriations for 2018 U S Census Bureau and the Government Accountability Office Department of Justice Federal Bureau of Investigation written by United States. Congress. House. Committee on Appropriations. Subcommittee on Commerce, Justice, Science, and Related Agencies and published by . This book was released on 2017 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Drug Discovery in Cancer Epigenetics

Download or read book Drug Discovery in Cancer Epigenetics written by Gerda Egger and published by Academic Press. This book was released on 2015-11-19 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drug Discovery in Cancer Epigenetics is a practical resource for scientists involved in the discovery, testing, and development of epigenetic cancer drugs. Epigenetic modifications can have significant implications for translational science as biomarkers for diagnosis, prognosis or therapy prediction. Most importantly, epigenetic modifications are reversible and epigenetic players are found mutated in different cancers; therefore, they provide attractive therapeutic targets. There has been great interest in developing and testing epigenetic drugs, which inhibit DNA methyltransferases, histone modifying enzymes or chromatin reader proteins. The first few drugs are already FDA approved and have made their way into clinical settings. This book provides a comprehensive summary of the epigenetic drugs currently available and aims to increase awareness in this area to foster more rapid translation of epigenetic drugs into the clinic. Highlights the potential of epigenetic alterations in cancer for drug development Covers the tools and methods for epigenetic drug discovery, preclinical and clinical testing, and clinical implications of epigenetic therapy Provides important information regarding putative epigenetic targets, epigenetic technologies, networks and consortia for epigenetic drug discovery and routes for translation

Book High Throughput Mass Spectrometry in Drug Discovery

Download or read book High Throughput Mass Spectrometry in Drug Discovery written by Chang Liu and published by John Wiley & Sons. This book was released on 2023-06-29 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Throughput Mass Spectrometry in Drug Discovery Apply mass spectrometry to every phase of new drug discovery with this cutting-edge guide Mass spectrometry is a technique that identifies and characterizes compounds based on their mass — the fundamental molecular characteristic. It has become an invaluable analytical tool in various disciplines, industries, and research fields. It has become particularly central to new drug discovery and development, which broadly deploys mass spectrometry at every phase. The pharmaceutical industry has become one of the main drivers of technological development in mass spectrometry. High-Throughput Mass Spectrometry in Drug Discovery offers a comprehensive introduction to mass spectrometry and its applications in pharmaceutical discovery. It covers the foundational principles and science of mass spectrometry before moving to specific experimental methods and their applications at various stages of drug discovery. Its thorough treatment and detailed guidance make it an invaluable tool for pharmaceutical research and development. High-Throughput Mass Spectrometry in Drug Discovery readers will also find: Detailed analysis of techniques, including label-free screening, synthetic reaction optimization, and more An authorial team with extensive combined experience in research and industrial applications Technical strategies with the potential to accelerate quantitative bioanalysis in drug discovery High-Throughput Mass Spectrometry in Drug Discovery is essential for analytical, bioanalytical, and medicinal chemists working in the pharmaceutical industry and for any researchers and graduate students interested in drug discovery and development.

Book Anti Inflammatory Drug Discovery

Download or read book Anti Inflammatory Drug Discovery written by Jeremy I. Levin and published by Royal Society of Chemistry. This book was released on 2012 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of recent medicinal chemistry approaches to a variety of important therapeutic targets and a key reference for those interested in the prosecution of modern drug discovery programs directed at anti-inflammatory mechanisms of action.

Book Machine Learning and Knowledge Discovery in Databases

Download or read book Machine Learning and Knowledge Discovery in Databases written by Ulf Brefeld and published by Springer Nature. This book was released on 2020-05-01 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track. Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.