Books by Subject
Information and Library Science
- 2001 CRCnetBASEDean Stahl, Karen Kerchelich ; originated by Ralph De Sola.
- Dictionary of acronyms, abbreviations, and initialisms.
- 2010 SpringerHamid R. Arabnia, editor.Bioinformatics databases, data mining, and pattern discovery -- Microarray, gene expression analysis, and gene regulatory networks -- Protein classification & structure prediction, and computational structural biology -- Comparative sequence, genome analysis, genome assembly, and genome scale computational methods -- Drug design, drug screening, and related topics -- Computational methods and diagnostic tools in biomedical -- General topics in bioinformatics.Also available: Print – 2010
- 2007Cheryl Iverson (chair) [and others].Status: Not Checked OutLane Catalog RecordTypes of articles -- Manuscript preparation -- References -- Visual presentation of data -- Ethical and legal considerations -- Editorial assessment and processing -- Grammar -- Punctuation -- Plurals -- Capitalization -- Correct and preferred usage -- Non-English words, phrases, and accent marks -- Medical indexes -- Abbreviations -- Nomenclature -- Eponyms -- Greek letters -- Units of measure -- Numbers and percentages -- Study design and statistics -- Mathematical composition -- Typography -- Manuscript editing and proofreading -- Glossary of publishing terms -- Resources.Also available: Print – 2007
- 2007 SpringerAlbert Burger, Duncan Davidson, Richard Baldock, editors.Existing anatomy ontologies for human, model organisms and plants -- Anatomical ontologies for model organisms : the fungi and animals / Jonathan Bard -- Plant structure ontology (PSO) : a morphological and anatomical ontology of flowering plants / Katica Ilic, ... [et al.] -- Anatomy for clinical terminology / Alan L. Rector -- The foundational model of anatomy ontology / Cornelius Rosse and José L. V. Mejino, Jr. -- Towards a disease ontology / Paul N. Schofield, Björn Rozell, Georgios V. Gkoutos -- Engineering and linking of anatomy ontologies -- Ontology alignment and merging / Patrick Lambrix, He Tan -- COBrA and COBrA-CT : ontology engineering tools / Stuart Aitken, Yin Chen -- XSPAN : a cross-species anatomy network / Albert Burger, Jonathan Bard -- Searching biomedical literature with anatomy ontologies / Thomas Wächter, ... [et al.] -- Anatomy ontologies and spatio-temporal atlases -- Anatomical ontologies : linking names to places in biology / Richard A. Baldock, Albert Burger -- Time in anatomy / Duncan Davidson -- The Edinburgh mouse atlas / Richard Baldock, Duncan Davidson -- The smart atlas : spatial and semantic strategies for multiscale integration of brain data / Maryann E. Martone, ... [et al.] -- Anatomy ontologies : modelling principles -- Modelling principles and methodologies : relations in anatomical ontologies / Fabian Neuhaus, Barry Smith -- Modeling principles and methodologies : spatial representation and reasoning / Thomas Bittner, ... [et al.] -- CARO : the common anatomy reference ontology / Melissa A. Haendel, ... [et al.]
- 2009 ebraryby Adam Gacek.The main sequence is comprised of approximately 200 entries dealing with almost all aspects of Arabic manuscript studies (codicology and paleography); includes appendices covering abbreviations, letterforms, såurah-headings, major reference works, and a guide to the description of manuscripts, as well as charts of major historical periods and dynasties.
- 2010Ms Rong Xu.Advances in medical research, pharmaceuticals, treatment options, and biotechnology are occurring at an explosive rate. As of 2009, there are 19 million of biomedical research abstracts available on MEDLINE and 1.3 billion searches of MEDLINE are done in 2009. Most of the popular search engines, from Google to PubMed, use keyword-based information retrieval methods, often overloading users with irrelevant information. At the same time, keyword-based search engines cannot answer simple biomedical questions, such as "what are the breast cancer treatment drugs" or "what are the breast cancer associated genes". Answering such questions requires machine understandable knowledge to be extracted from free text. My thesis represents an automated system to extract machine understandable biomedical information from MEDLINE abstracts using machine learning and natural language processing ( NLP ) techniques. The system is different from current biomedical information extraction systems in the following: 1. the system is semi-supervised where the only human supervision is a single pattern for each information type; 2. it can be used to extract broad types of information, including named entities and relationships among entities.
- 2006 NLMNLM Board of Regents.
- 2007 SpringerB.A. Bunin, B. Siesel, G.A. Morales, J. Bajorath.
- Also available: Print – 2003-
- 2008 CRCnetBASEedited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg.An approach to analyzing and modeling systems for real-time decisions / John C. Brocklebank ... [et al.] -- Ensemble strategies for neural network classifiers / Paul Mangiameli and David West -- Neural network classification with uneven misclassification costs and imbalanced group sizes / Jyhshyan Lan ... [et al.] -- Data cleansing with independent component analysis / Guangyin Zeng and Mark J. Embrechts -- A multiple criteria approach to creating good teams over time / Ronald K. Klimberg, Kevin J. Boyle, and Ira Yermish -- Data mining applications in higher education / Cali M. Davis ... [et al.] -- Data mining for market segmentation with market share data : a case study approach / Illya Mowerman and Scott J. Lloyd -- An enhancement of the pocket algorithm with ratchet for use in data mining applications / Louis W. Glorfeld and Doug White -- Identification and prediction of chronic conditions for health plan members using data mining techniques / Theodore L. Perry, Stephan Kudyba, and Kenneth D. Lawrence -- Monitoring and managing data and process quality using data mining : business process management for the purchasing and accounts payable processes / Daniel E. O'Leary -- Data mining for individual consumer models and personalized retail promotions / Rayid Ghani ... [et al.] -- Data mining : common definitions, applications, and misunderstandings / Richard D. Pollack -- Fuzzy sets in data mining and ordinal classification / David L. Olson, Helen Moshkovich, and Alexander Mechitov -- Developing an associative keyword space of the data mining literature through latent semantic analysis / Adrian Gardiner -- A classification model for a two-class (new product purchase) discrimination process using multiple-criteria linear programming / Kenneth D. Lawrence ... [et al.].
- 2006 WileyThomas M. Cover, Joy A. Thomas.ch. 1. Introduction and preview -- ch. 2. Entropy, relative entropy, and mutual information -- ch. 3. Asymptotic equipartition property -- ch. 4. Entropy rates of a stochastic process -- ch. 5. Data compression -- ch. 6. Gambling and data compression -- ch. 7. Channel capacity -- ch. 8. Differential entropy -- ch. 9. Gaussian channel -- ch. 10. Rate distortion theory -- ch. 11. Information theory and statistics -- ch. 12. Maximum entropy -- ch. 13. Universal source coding -- ch. 14. Kolmogorov complexity -- ch. 15. Network information theory -- ch. 16. Information theory and portfolio theory -- ch. 17. Inequalities in information theory.
- 2003 ScienceDirecteditor-in-chief, Hossein Bidgoli.
- 2012Siddharth Taduri.The recent years have seen a tremendous growth in research and developments in science and technology, and an emphasis in obtaining Intellectual Property (IP) protection for one's innovations. Information pertaining to IP for science and technology is siloed into many diverse sources and consists of laws, regulations, patents, court litigations, scientific publications, and more. Although a great deal of legal and scientific information is now available online, the scattered distribution of the information, combined with the enormous sizes and complexities, makes any attempt to gather relevant IP-related information on a specific technology a daunting task. In this thesis, we develop a knowledge-based software framework to facilitate retrieval of patents and related information across multiple diverse and uncoordinated information sources in the US patent system. The document corpus covers issued US patents, court litigations, scientific publications, and patent file wrappers in the biomedical technology domain. A document repository is to be populated with issued US patents, court cases, scientific publications, and file wrappers in XML format. Parsers are developed to automatically download documents from the information sources. Additionally, the parser also extracts metadata and textual content from the downloaded documents and populates the XML repository. A text index is built over the repository using Apache Lucene, to facilitate search and retrieval of documents. Based on the document repository, the underlying methodology to search across multiple information sources in the patent system is discussed. The methodology is divided into two major parts. First, we develop a knowledge-based query expansion methodology to tackle domain terminological inconsistencies in the documents. Relevant knowledge is retrieved from external sources such as domain ontologies. Since our goal is to retrieve a collection of relevant documents across multiple sources, we develop a patent system ontology to provide interoperability between the different types of documents and to facilitate information integration. We discuss the Information Retrieval (IR) framework which combines the knowledge-based query expansion methodology with the patent system ontology to provide a multi-domain search methodology. A visualization tool based on term co-occurrence is developed that can be used to browse the document repository through class hierarchies of domain ontologies. The knowledge-based query expansion methodology is evaluated through formal measures such as precision and recall. A simple term-based search is used as a baseline reference for comparison. Additionally, the results from related works are also used for comparison. A series of common questions asked during patent prior art searches and infringement analysis are generated to evaluate the patent system ontology. A summary of the results and analysis is provided.
- 2010 CRCnetBASEedited by Jay Liebowitz, Richard A. Schieber, Joanne D. Andreadis.The quick basics of knowledge management / Jay Liebowitz -- Knowledge management and public health : a winning combination / Jay Liebowitz, Richard A. Schieber, and Joanne D. Andreadis -- Extending cross-generational knowledge flow research in edge organizations / Jay Liebowitz and Emil Ivanov -- Knowledge retention trends and strategies for knowledge workers and organizations / Masud Cader and Jay Liebowitz -- Examples of knowledge management in public health / Angela M. Fix, Sterling Elliott, and Irene Stephens -- Building knowledge management in an international health NGO / Richard Iams and Patricia Ringers -- Trying to revive an anemic system : a case study from USAID's Nutrition Division / Laura Birx -- Formulating KM strategies at the local level : a new approach to knowledge sharing in large public health organizations / Richard Van West-Charles and Arthur J. Murray -- Knowledge management : a mechanism for promoting evidence-informed public health decision making / Maureen Dobbins ... [et al.] -- myPublicHealth : utilizing knowledge management to improve public health practice and decision making / Debra Revere ... [et al.] -- Connections : sharing experience to advance public health practice / Ellen Wild and Debra Bara -- The association of public health laboratories : from surveys toward knowledge management, a voyage to Cythera / Robert Rej and Neha Desai.
- 2014 CRCnetBASEeditors, Sherif Sakr, Mohamed Medhat Gaber."This book provides a central source of reference on the various data management techniques of large scale data processing and its technology application. This book presents chapters written by leading researchers, academics, and practitioners in the field, all of which have been reviewed by independent reviewers. The book covers the latest research discoveries and applications. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques"-- Provided by publisher.
- 2013 ebraryedited by Joseph Janes.Thinking about the future of libraries, librarianship and the work librarians do is as old as libraries themselves. (No doubt seminars were organized by the Alexandria Librarians Association on the future of the scroll and what to do about the rising barbarian tide.) At no time in our memory, though, have these discussions and conversations been so profound and critical. Here one of today's leading thinkers and speakers about the future of libraries brings together 30 leaders from all types of libraries and from outside librarianship to describe their vision of what the library will be in 2020. Contributors and Library Journal's The Annoyed Librarian were asked to describe the "library of 2020, "in whatever terms they wanted, either a specific library or situation or libraries in general. They were told: "be bold, be inspirational, be hopeful, be true, be provocative, be realistic, be depressing, be light-hearted, be thoughtful, be fun, be yourself, and for heaven's sake, don't be boring." Not that they could be. Broadly representative of important perspectives and aspects within the profession as well as featuring important voices beyond the professional realm, Library 2020 presents thought-provoking and illuminating visions from many points of view. It is both required reading for library leaders and trustees as well as an ideal supplemental text for LIS classes looking at the future of the profession.
- 2007Glenn J. Myatt.Status: Not Checked OutLane Catalog Record
- 2015 ScienceDirectedited by Catherine Arnott Smith and Alla Keselman.1. Designing health information programs to promote the health and well-being of vulnerable populations: the benefits of evidence-based strategic health communication / Gary L. Kreps and Linda Neuhauser -- 2. Health literacy research's growth, challenges, and frontiers / Robert A. Logan -- 3. Medical information for the consumer before the World Wide Web / Catherine Arnott Smith -- 4. Ethical health information: Do it well! Do it right! Do no harm! / Michelynn McKnight -- 5. Health information resource provision in the public library setting / Mary Grace Flaherty -- 6. Who needs a health librarian? Ethical reference transactions in the consumer health library / Nancy C. Seeger -- 7. Consumer health information: the community college conundrum / Anne Chernaik -- 8. Health information delivery outside the clinic in a developing nation: The Qatar Cancer Society in the State of Qatar / Ellen N. Sayed and Alan S. Weber -- 9. Health information and older adults / Kay Hogan Smith -- 10. Re-envisioning the health information-seeking conversation: insights from a community center / Prudence W. Dalrymple and Lisl Zach -- 11. For the mutual benefit: health information provision in the science classroom / Albert Zeyer, Daniel M. Levin and Alla Keselman -- 12. "You will be glad you hung on to this quit": sharing information and giving support when stopping smoking online / Marie-Thérèse Rudolf von Rohr -- 13. Health information in bits and bytes: considerations and challenges of digital health communication / Clare Tobin Lence and Korey Capozza -- 14. Does specialization matter? How journalistic expertise explains differences in health-care coverage / Michael W. Wagner -- Afterword -- Index.
- Metadata-driven software systems in biomedicine : designing systems that can adapt to changing knowledge2011 SpringerPrakash M. Nadkarni.What Is Metadata? -- Data Types in the Medical Record -- Metadata and the Use of XML -- Representing Structured Clinical Data -- Building the User Interface for Structured Clinical Data Capture -- Medical Decision Support Systems: General Considerations -- Challenges in Electronic Decision Support Implementation -- Infrastructure for Complex Clinical Decision Support: Rule Engines -- Decision Support Infrastructure: Workflows and Service-Oriented Architectures -- Complex Decision Support in Practice -- Extending the Entity-Attribute-Value Model -- Descriptive Metadata: An Introduction to Terminologies -- Descriptive Metadata: Implementing Large-Scale Biomedical Ontologies -- Clinical Study Data Management Systems -- Data Retrieval for Heterogeneous Data Models -- Metadata for Data Warehousing -- Biomedical Metadata Standards.
- 2006 MyiLibrary[edited by] Raj Sharman, Rajiv Kishore, Ram Ramesh.
- 2005 Assoc Res LibrCharles W. Bailey, Jr.
- edited by H.C.G. Matthew and Brian Harrison.
- Includes all of words, phrases, and translations, in French, German, Spanish and Italian from the print dictionaries. Users can search the full A-Z from both sides of the dictionary in Oxford's unabridged bilingual dictionaries: French, German, Spanish, and Italian.
- 2017 AccessSurgery[edited by] Laura M. Mazer, Kiran Lagisetty, Kathryn L. Butler.
- 2012 CambridgeAnne Stiles."In the 1860s and 1870s, leading neurologists used animal experimentation to establish that discrete sections of the brain regulate specific mental and physical functions. These discoveries had immediate medical benefits: David Ferrier's detailed cortical maps, for example, saved lives by helping surgeons locate brain tumors and haemorrhages without first opening up the skull. These experiments both incited controversy and stimulated creative thought, because they challenged the possibility of an extra-corporeal soul. This book examines the cultural impact of neurological experiments on late Victorian Gothic romances by Robert Louis Stevenson, Bram Stoker, H. G. Wells and others. Novels like Dracula and Jekyll and Hyde expressed the deep-seated fears and visionary possibilities suggested by cerebral localization research and offered a corrective to the linearity and objectivity of late Victorian neurology"--Provided by publisher.
- 2014 ebraryedited by Joyce M. Ray.It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.
- Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data. 2nd ed.2012 CRCnetBASEBruce Ratner.Introduction -- Two basic data mining methods for variable assessment -- CHAID-based data mining for paired-variable assessment -- The importance of straight data : simplicity and desirability for good model-building practice -- Symmetrizing ranked data : a statistical data mining method for improving the predictive power of data -- Principal component analysis : a statistical data mining method for many-variable assessment -- The correlation coefficient : its values range between plus/minus 1, or do they? -- Logistic regression : the workhorse of response modeling -- Ordinary regression : the workhorse of profit modeling -- Variable selection methods in regression : ignorable problem, notable solution -- CHAID for interpreting a logistic regression model -- The importance of the regression coefficient -- The average correlation : a statistical data mining measure for assessment of competing predictive models and the importance of the predictor variables -- CHAID for specifying a model with interaction variables -- Market segmentation classification modeling with logistic regression -- CHAID as a method for filling in missing values -- Identifying your best customers : descriptive, predictive, and look-alike profiling -- Assessment of marketing models -- Bootstrapping in marketing : a new approach for validating models -- Validating the logistic regression model : try bootstrapping -- Visualization of marketing modelsdata mining to uncover innards of a model -- The predictive contribution coefficient : a measure of predictive importance -- Regression modeling involves art, science, and poetry, too -- Genetic and statistic regression models : a comparison
- 2012 CRCnetBASEedited by Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati."Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- Provided by publisher.
- An online library of Thieme books. Includes Thieme eRadiology and RadCases content made available through the Medlantis database.
- 2012 CRCnetBASEWolfgang Osterhage.1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
- 2009 SpringerBrian Stephen Budgell.This book is organized as a practical guide to writing a biomedical research article. Hence, as you will see from the table of contents, chapters are arranged according to the sequence of tasks that we normally encounter in our writing. The book deals only with writing and submission of manuscripts; there are no directions concerning, for example, the preparation of figures or audiovisual presentations. Furthermore, every chapter is concise; we do not beat topics to death. Exemplars of highly prevalent expressions are given throughout, however the number of examples in the book is not excessive.
- Harrison's Principles of Internal Medicine
- AAP Red Book Online
- Robbins & Cotran Pathologic Basis of Disease
- Sabiston Textbook of Surgery
- Nelson's Textbook of Pediatrics
- Surgical Exposures in Orthopaedics
- Mandell, Douglas, & Bennett's Principles & Practice of Infectious Diseases
- Red Book Online
- ICU Book
- Primary Care Medicine
- Campbell-Walsh Urology
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A repository of medical knowledge from internal medicine, cardiology, genetics, pharmacy, diagnosis and management, basic sciences, patient care, and more.
Continuously expanding, all databases in the repository contain the latest editions of selected medical titles.MicroMedex: Premier pharmaceutical information source containing multiple databases and drug reference tools. Of particular value is DRUGDEX Evaluations, one of the most comprehensive drug sources available.DynaMed Plus is a clinical information resource used by physicians to answer clinical questions quickly and easily at the point of care. Topics are updated daily as new evidence becomes available.Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings.A drug information resource containing: American Hospital Formulary System (AHFS), drug formulary for Lucile Packard Children's Hospital (LPCH) and Stanford Hospital & Clinics (SHC), Lexi-Drugs (adverse reactions, dosage and administration, mechanism of action, storage, use, and administration information), Lexi-Calc, Lexi-ID, Lexi-I.V. Compatibility (King Guide), Lexi-Interact, and Lexi-PALS.Cumulative Index to Nursing and Allied Health Literature (CINAHL) contains coverage of nursing and allied health literature.A knowledge database that provides access to topic reviews based on over 6000 clinically relevant articles. The evidence-based content, updated regularly, provides the latest practice guidelines in 59 medical specialtiesProvides critical assessments of systematic reviews compiled from a variety of medical journals.Selects from the biomedical literature original studies and systematic reviews that are immediately clinically relevant and then summarizes these articles in an enhanced abstract with expert commentary.
Multidisciplinary coverage of over 10,000 high-impact journals in the sciences, social sciences, and arts and humanities, as well as international proceedings coverage for over 120,000 conferences.
Includes cited reference searching, citation maps, and an analyze tool.
Features systematic reviews that summarize the effects of interventions and makes a determination whether the intervention is efficacious or not.
Cochrane reviews are created through a strict process of compiling and analyzing data from multiple randomized control trials to ensure comprehensiveness and reliability.Provides systematic coverage of the psychological literature from the 1800s to the present through articles, book chapters and dissertations.BMJ Clinical Evidence. A clinical information tool built around systematic reviews summarizing the current state of knowledge about prevention and treatment of clinical conditions.PIER (Physicians' Information and Education Resource) is a Web-based decision-support tool designed for rapid point-of-care delivery of up-to-date, evidence-based guidance for primary care physicians.Cochrane Central Register of Controlled Trials (CENTRAL) provides access to 300,000 controlled trials that have been identified the Cochrane Collaboration.Provides drug information targeted for patients.A continually updating drug monograph.The National Guideline Clearinghouse (NGC): A comprehensive database of evidence-based clinical practice guidelines and related documents.MedlinePlus: A repository of health information from the National Library of Medicine. Links are from trusted sites. No advertising, no endorsement of commercial companies or productsLPCH CareNotes via MicroMedex: Patient education handouts customized by LPCH clinical staffMicromedex Lab Advisor: Evidence based laboratory test informationA drug database organized by generic name, trade name and drug class.LPCH / Stanford Hospital Formulary.A goldmine of trusted consumer health information from the world's largest medical library.A trusted source of expert advice for and about kids, providing the information necessary to help patients and parents understand their unique needs.Provides patient handouts from the American Academy of Family Physician.Access to the Stanford Health Library for patients.Lane provides access to over 5,000 eBooks many of which provide helpful background material that will prepare you to better tackle primary literature.
Largest, broadest eBook package; covers all sciences, as well as technology (including software), medicine, and humanities.
In addition to covering Wiley and Springer, MyiLibrary is also the only provider for Oxford and Cambridge University Press titles. No seat restrictions.A collection of biomedical books that can be searched directly by concept, and linked to terms in PubMed abstracts.
A web-based, decision support system for infectious diseases, epidemiology, microbiology and antimicrobial chemotherapy. The database, updated weekly, currently includes 337 diseases, 224 countries, 1,147 microbial taxa and 306 antibacterial (-fungal, -parasitic, -viral) agents and vaccines.
Over 10,000 notes outline the status of specific infections within each country.
Provides online, full-text access to Springer's journal titles as well as journals from other publishers.
Subjects include: life sciences, chemical sciences, environmental sciences, geosciences, computer science, mathematics, medicine, physics and astronomy, engineering and economics. Also includes eBooks.Collection of over 8 thousand fulltext titles in engineering, math, and basic and applied biomedical research. Coverage is from 1967 to the present.A library of ebooks on a wide array of topics, digitized and made available online in conjunction with the original publishers.