A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

PubMed

Pang, Shuchao; Yu, Zhezhou; Orgun, Mehmet A

2017-03-01

Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical diseases identified from those images. Traditional image classification methods combined with hand-crafted image feature descriptors and various classifiers are not able to effectively improve the accuracy rate and meet the high requirements of classification of biomedical images. The same also holds true for artificial neural network models directly trained with limited biomedical images used as training data or directly used as a black box to extract the deep features based on another distant dataset. In this study, we propose a highly reliable and accurate end-to-end classifier for all kinds of biomedical images via deep learning and transfer learning. We first apply domain transferred deep convolutional neural network for building a deep model; and then develop an overall deep learning architecture based on the raw pixels of original biomedical images using supervised training. In our model, we do not need the manual design of the feature space, seek an effective feature vector classifier or segment specific detection object and image patches, which are the main technological difficulties in the adoption of traditional image classification methods. Moreover, we do not need to be concerned with whether there are large training sets of annotated biomedical images, affordable parallel computing resources featuring GPUs or long times to wait for training a perfect deep model, which are the main problems to train deep neural networks for biomedical image classification as observed in recent works. With the utilization of a simple data augmentation method and fast convergence speed, our algorithm can achieve the best accuracy rate and outstanding classification ability for biomedical images. We have evaluated our classifier on several well-known public biomedical datasets and compared it with several state-of-the-art approaches. We propose a robust automated end-to-end classifier for biomedical images based on a domain transferred deep convolutional neural network model that shows a highly reliable and accurate performance which has been confirmed on several public biomedical image datasets. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

An accurate bacterial DNA quantification assay for HTS library preparation of human biological samples.

PubMed

Seashols-Williams, Sarah; Green, Raquel; Wohlfahrt, Denise; Brand, Angela; Tan-Torres, Antonio Limjuco; Nogales, Francy; Brooks, J Paul; Singh, Baneshwar

2018-05-17

Sequencing and classification of microbial taxa within forensically relevant biological fluids has the potential for applications in the forensic science and biomedical fields. The quantity of bacterial DNA from human samples is currently estimated based on quantity of total DNA isolated. This method can miscalculate bacterial DNA quantity due to the mixed nature of the sample, and consequently library preparation is often unreliable. We developed an assay that can accurately and specifically quantify bacterial DNA within a mixed sample for reliable 16S ribosomal DNA (16S rDNA) library preparation and high throughput sequencing (HTS). A qPCR method was optimized using universal 16S rDNA primers, and a commercially available bacterial community DNA standard was used to develop a precise standard curve. Following qPCR optimization, 16S rDNA libraries from saliva, vaginal and menstrual secretions, urine, and fecal matter were amplified and evaluated at various DNA concentrations; successful HTS data were generated with as low as 20 pg of bacterial DNA. Changes in bacterial DNA quantity did not impact observed relative abundances of major bacterial taxa, but relative abundance changes of minor taxa were observed. Accurate quantification of microbial DNA resulted in consistent, successful library preparations for HTS analysis. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

[175 years of the National Library of Medicine, of the United States of America: a scientific and cultural treasure worthy of admiration].

PubMed

Cabello C, Felipe

2011-09-01

The National Library of Medicine (NLM) of the United States of America, celebrates in 2011 its 175th anniversary. This Library, the largest biomedical library in the world, has a proud and rich history serving the health community and the public, especially since its transfer to the National Institutes of Health in Bethesda, Maryland, in 1968. It holds 17 million publications in 150 languages, and has an important collection of ancient and modern historical books as well as original publications of Vesalius and other founders of biomedicine. Its modern document collections illustrate the progress of medical sciences. These collections include laboratory notes from many scientists whose work forms the foundations of contemporary life sciences. The Library also provides several services for health research and for the public, including databases and services such as MedLine and BLAST. The NLM constantly strives to fulfill the information needs of its customers, whether scientists or the public at large. For example, as the Hispanic population of the Unites States has increased in recent years, the NLM has made larger and larger amounts of data available in Spanish to fulfill the health information needs of this population. NLM programs train professionals in library science and biomedical informatics and link biomedical libraries of 18 academic centers throughout the United States. The NLM funds competitive grants for training at the Library, organizing short instruction courses about library science and informatics, and writing books on health related matters including the history of medicine and public health. The NLM is managed and maintained by an outstanding and farsighted group of professionals and dedicated support staff. Their focus on serving and reaching both the biomedical community and the public at large has been crucial to its development into a world icon of biomedical sciences, information technology and the humanities.

PhysiomeSpace: digital library service for biomedical data

PubMed Central

Testi, Debora; Quadrani, Paolo; Viceconti, Marco

2010-01-01

Every research laboratory has a wealth of biomedical data locked up, which, if shared with other experts, could dramatically improve biomedical and healthcare research. With the PhysiomeSpace service, it is now possible with a few clicks to share with selected users biomedical data in an easy, controlled and safe way. The digital library service is managed using a client–server approach. The client application is used to import, fuse and enrich the data information according to the PhysiomeSpace resource ontology and upload/download the data to the library. The server services are hosted on the Biomed Town community portal, where through a web interface, the user can complete the metadata curation and share and/or publish the data resources. A search service capitalizes on the domain ontology and on the enrichment of metadata for each resource, providing a powerful discovery environment. Once the users have found the data resources they are interested in, they can add them to their basket, following a metaphor popular in e-commerce web sites. When all the necessary resources have been selected, the user can download the basket contents into the client application. The digital library service is now in beta and open to the biomedical research community. PMID:20478910

PhysiomeSpace: digital library service for biomedical data.

PubMed

Testi, Debora; Quadrani, Paolo; Viceconti, Marco

2010-06-28

Every research laboratory has a wealth of biomedical data locked up, which, if shared with other experts, could dramatically improve biomedical and healthcare research. With the PhysiomeSpace service, it is now possible with a few clicks to share with selected users biomedical data in an easy, controlled and safe way. The digital library service is managed using a client-server approach. The client application is used to import, fuse and enrich the data information according to the PhysiomeSpace resource ontology and upload/download the data to the library. The server services are hosted on the Biomed Town community portal, where through a web interface, the user can complete the metadata curation and share and/or publish the data resources. A search service capitalizes on the domain ontology and on the enrichment of metadata for each resource, providing a powerful discovery environment. Once the users have found the data resources they are interested in, they can add them to their basket, following a metaphor popular in e-commerce web sites. When all the necessary resources have been selected, the user can download the basket contents into the client application. The digital library service is now in beta and open to the biomedical research community.

A Challenge to Change: Necessary Changes in the Library Classification System for the Chicago Public Schools.

ERIC Educational Resources Information Center

Williams, Florence M.

This report addresses the feasibility of changing the classification of library materials in the Chicago Public School libraries from the Dewey Decimal classification system (DDC) to the Library of Congress system (LC), thus patterning the city school libraries after the Chicago Public Library and strengthening the existing close relationship…

Data Mining Algorithms for Classification of Complex Biomedical Data

ERIC Educational Resources Information Center

Lan, Liang

2012-01-01

In my dissertation, I will present my research which contributes to solve the following three open problems from biomedical informatics: (1) Multi-task approaches for microarray classification; (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray…

Significance of clustering and classification applications in digital and physical libraries

NASA Astrophysics Data System (ADS)

Triantafyllou, Ioannis; Koulouris, Alexandros; Zervos, Spiros; Dendrinos, Markos; Giannakopoulos, Georgios

2015-02-01

Applications of clustering and classification techniques can be proved very significant in both digital and physical (paper-based) libraries. The most essential application, document classification and clustering, is crucial for the content that is produced and maintained in digital libraries, repositories, databases, social media, blogs etc., based on various tags and ontology elements, transcending the traditional library-oriented classification schemes. Other applications with very useful and beneficial role in the new digital library environment involve document routing, summarization and query expansion. Paper-based libraries can benefit as well since classification combined with advanced material characterization techniques such as FTIR (Fourier Transform InfraRed spectroscopy) can be vital for the study and prevention of material deterioration. An improved two-level self-organizing clustering architecture is proposed in order to enhance the discrimination capacity of the learning space, prior to classification, yielding promising results when applied to the above mentioned library tasks.

Emerging roles for biomedical librarians: a survey of current practice, challenges, and changes.

PubMed

Crum, Janet A; Cooper, I Diane

2013-10-01

This study is intended to (1) identify emerging roles for biomedical librarians and determine how common these roles are in a variety of library settings, (2) identify barriers to taking on new roles, and (3) determine how librarians are developing the capacity to take on new roles. A survey was conducted of librarians in biomedical settings. Most biomedical librarians are taking on new roles. The most common roles selected by survey respondents include analysis and enhancement of user experiences, support for social media, support for systematic reviews, clinical informationist, help for faculty or staff with authorship issues, and implementation of researcher profiling and collaboration tools. Respondents in academic settings are more likely to report new roles than hospital librarians are, but some new roles are common in both settings. Respondents use a variety of methods to free up time for new roles, but predominant methods vary between directors and librarians and between academic and hospital respondents. Lack of time is the biggest barrier that librarians face when trying to adopt new roles. New roles are associated with increased collaboration with individuals and/or groups outside the library. This survey documents the widespread incorporation of new roles in biomedical libraries in the United States, as well as the barriers to adopting these roles and the means by which librarians are making time for them. The results of the survey can be used to inform strategic planning, succession planning, library education, and career development for biomedical librarians.

Planning a new library in an age of transition: the Washington University School of Medicine Library and Biomedical Communications Center.

PubMed Central

Crawford, S; Halbrook, B

1990-01-01

In an era of great technological and socioeconomic changes, the Washington University School of Medicine conceptualized and built its first Library and Biomedical Communications Center in seventy-eight years. The planning process, evolution of the electronic library, and translation of functions into operating spaces are discussed. Since 1983, when the project was approved, a whole range of information technologies and services have emerged. The authors consider the kind of library that would operate in a setting where people can do their own searches, order data and materials through an electronic network, analyze and manage information, and use software to create their own publications. Images PMID:2393757

SOA-based digital library services and composition in biomedical applications.

PubMed

Zhao, Xia; Liu, Enjie; Clapworthy, Gordon J; Viceconti, Marco; Testi, Debora

2012-06-01

Carefully collected, high-quality data are crucial in biomedical visualization, and it is important that the user community has ready access to both this data and the high-performance computing resources needed by the complex, computational algorithms that will process it. Biological researchers generally require data, tools and algorithms from multiple providers to achieve their goals. This paper illustrates our response to the problems that result from this. The Living Human Digital Library (LHDL) project presented in this paper has taken advantage of Web Services to build a biomedical digital library infrastructure that allows clinicians and researchers not only to preserve, trace and share data resources, but also to collaborate at the data-processing level. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

The Bellevue Classification System: nursing's voice upon the library shelves*†

PubMed Central

Mages, Keith C

2011-01-01

This article examines the inspiration, construction, and meaning of the Bellevue Classification System (BCS), created during the 1930s for use in the Bellevue School of Nursing Library. Nursing instructor Ann Doyle, with assistance from librarian Mary Casamajor, designed the BCS after consulting with library leaders and examining leading contemporary classification systems, including the Dewey Decimal Classification and Library of Congress, Ballard, and National Health Library classification systems. A close textual reading of the classes, subclasses, and subdivisions of these classification systems against those of the resulting BCS, reveals Doyle's belief that the BCS was created not only to organize the literature, but also to promote the burgeoning intellectualism and professionalism of early twentieth-century American nursing. PMID:21243054

A biomedical engineer's library.

PubMed

Webster, J G

1982-01-01

A survey resulted in a list of the 101 textbooks used by 62 biomedical engineering educational programs. A second list shows the textbooks used by each school. A third list shows the 27 textbooks used at two or more schools and the number of times each is used. This selected compilation should be useful to (a) biomedical engineering curriculum committees considering program revision, (b) teachers considering course revision, (c) university and industrial librarians updating their collections, (d) individuals building a personal library, and (e) students desiring information about the emphasis of various educational programs.

Classification Schedules as Subject Enhancement in Online Catalogs. A Review of a Conference Sponsored by Forest Press, the OCLC Online Computer Library Center, and the Council on Library Resources.

ERIC Educational Resources Information Center

Mandel, Carol A.

This paper presents a synthesis of the ideas and issues developed at a conference convened to review the results of the Dewey Decimal Classification Online Project and explore the potential for future use of the Dewey Decimal Classification (DDC) and Library of Congress Classification (LCC) schedules in online library catalogs. Conference…

The Role of Biomedical Librarians in a Local Basic Unit Library Organization.

ERIC Educational Resources Information Center

Taylor, Ruth

The quality of library service in biomedical institutions ultimately depends upon basic unit librarians. Although the hierarchy is necessary, it can only have as much real authority and cooperation as institutions vest in it by their degree of understanding and sense of personal worth. Vital to this is the local peer groups, which serves two basic…

Preservation of the biomedical literature: an overview.

PubMed Central

Byrnes, M M

1989-01-01

The National Library of Medicine began to preserve its collection many years ago. This article presents a brief review of NLM's early conservation and microfilming programs, and describes the current activities of the library's new Preservation Section. Also mentioned are the complementary efforts of NLM staff who are involved in research into electronic imaging and the campaign to increase the use of alkaline paper in medical and scientific publishing. Goals of the National Preservation Plan for the Biomedical Literature are summarized and a report on progress in implementing the plan is provided. Results of the preservation needs assessment described in the accompanying article by Kirkpatrick are briefly analyzed. Recent efforts of the Commission on Preservation and Access, the National Endowment for the Humanities, the Research Libraries Group, and several international associations are described in terms of their potential benefit to preservation of the biomedical literature. The need to monitor new preservation technologies and preserve materials in audiovisual and electronic formats is emphasized. It is argued that with enough coordination, cooperation, and willingness among health sciences libraries to share the costs, the goal of preserving all of the important biomedical literature can be accomplished. PMID:2758180

Positioning the library at the epicenter of the networked biomedical enterprise.

PubMed

Stead, W W

1998-01-01

The changing economic environment in which our biomedical enterprises operate presents unparalleled opportunities to the profession of medical librarianship. Evidence-based medicine, patient empowerment, asynchronous learning networks, and research colaboratories each involve a new type of shared information, or access to information in new ways or by different people. These tasks are ones with which librarianship is directly involved. Librarians are therefore placed perfectly to provide new products and services. To position the library at the epicenter of the networked biomedical enterprise we must meet three challenges: We must align the library's business strategy with that of the larger enterprise. We must provide services in ways that will scale-up to enable new business strategies. We must measure the effectiveness of services in ways that document their role in supporting the enterprise.

Emerging roles for biomedical librarians: a survey of current practice, challenges, and changes

PubMed Central

Crum, Janet A.; Cooper, I. Diane

2013-01-01

Objective: This study is intended to (1) identify emerging roles for biomedical librarians and determine how common these roles are in a variety of library settings, (2) identify barriers to taking on new roles, and (3) determine how librarians are developing the capacity to take on new roles. Methods: A survey was conducted of librarians in biomedical settings. Results: Most biomedical librarians are taking on new roles. The most common roles selected by survey respondents include analysis and enhancement of user experiences, support for social media, support for systematic reviews, clinical informationist, help for faculty or staff with authorship issues, and implementation of researcher profiling and collaboration tools. Respondents in academic settings are more likely to report new roles than hospital librarians are, but some new roles are common in both settings. Respondents use a variety of methods to free up time for new roles, but predominant methods vary between directors and librarians and between academic and hospital respondents. Lack of time is the biggest barrier that librarians face when trying to adopt new roles. New roles are associated with increased collaboration with individuals and/or groups outside the library. Conclusion and Implications: This survey documents the widespread incorporation of new roles in biomedical libraries in the United States, as well as the barriers to adopting these roles and the means by which librarians are making time for them. The results of the survey can be used to inform strategic planning, succession planning, library education, and career development for biomedical librarians. PMID:24163599

Biomedical image classification based on a cascade of an SVM with a reject option and subspace analysis.

PubMed

Lin, Dongyun; Sun, Lei; Toh, Kar-Ann; Zhang, Jing Bo; Lin, Zhiping

2018-05-01

Automated biomedical image classification could confront the challenges of high level noise, image blur, illumination variation and complicated geometric correspondence among various categorical biomedical patterns in practice. To handle these challenges, we propose a cascade method consisting of two stages for biomedical image classification. At stage 1, we propose a confidence score based classification rule with a reject option for a preliminary decision using the support vector machine (SVM). The testing images going through stage 1 are separated into two groups based on their confidence scores. Those testing images with sufficiently high confidence scores are classified at stage 1 while the others with low confidence scores are rejected and fed to stage 2. At stage 2, the rejected images from stage 1 are first processed by a subspace analysis technique called eigenfeature regularization and extraction (ERE), and then classified by another SVM trained in the transformed subspace learned by ERE. At both stages, images are represented based on two types of local features, i.e., SIFT and SURF, respectively. They are encoded using various bag-of-words (BoW) models to handle biomedical patterns with and without geometric correspondence, respectively. Extensive experiments are implemented to evaluate the proposed method on three benchmark real-world biomedical image datasets. The proposed method significantly outperforms several competing state-of-the-art methods in terms of classification accuracy. Copyright © 2018 Elsevier Ltd. All rights reserved.

Library of Congress Classification Adapted for Children's Sound Recordings.

ERIC Educational Resources Information Center

Perkins, John W.; And Others

This publication describes how the Library of Congress classification adapted for children's books by the Inglewood Public Library can also be used in the classification of children's sound recordings. One of the major features of the classification system is its applicability to various media, as it provides a method by which the same work can be…

Document Delivery Capabilities of Major Biomedical Libraries in 1968: Results of a National Survey Employing Standardized Tests *

PubMed Central

Orr, Richard H.; Schless, Arthur P.

1972-01-01

The standardized Document Delivery Tests (DDT's) developed earlier (Bulletin 56: 241-267, July 1968) were employed to assess the capability of ninety-two medical school libraries for meeting the document needs of biomedical researchers, and the capability of fifteen major resource libraries for filling I-L requests from biomedical libraries. The primary test data are summarized as statistics on the observed availability status of the 300 plus documents in the test samples, and as measures expressing capability as a function of the mean time that would be required for users to obtain test sample documents. A mathematical model is developed in which the virtual capability of a library, as seen by its users, equals the algebraic sum of the basic capability afforded by its holdings; the combined losses attributable to use of its collection, processing, relative inacessibility, and housekeeping problems; and the gain realized by coupling with other resources (I-L borrowing). For a particular library, or group of libraries, empirical values for each of these variables can be calculated easily from the capability measures and the status statistics. Regression equations are derived that provide useful predictions of basic capability from collection size. The most important result of this work is that cost-effectiveness analyses can now be used as practical decision aids in managing a basic library service. A program of periodic surveys and further development of DDT's is recommended as appropriate for the Medical Library Association. PMID:5054305

Creating a Canonical Scientific and Technical Information Classification System for NCSTRL+

NASA Technical Reports Server (NTRS)

Tiffany, Melissa E.; Nelson, Michael L.

1998-01-01

The purpose of this paper is to describe the new subject classification system for the NCSTRL+ project. NCSTRL+ is a canonical digital library (DL) based on the Networked Computer Science Technical Report Library (NCSTRL). The current NCSTRL+ classification system uses the NASA Scientific and Technical (STI) subject classifications, which has a bias towards the aerospace, aeronautics, and engineering disciplines. Examination of other scientific and technical information classification systems showed similar discipline-centric weaknesses. Traditional, library-oriented classification systems represented all disciplines, but were too generalized to serve the needs of a scientific and technically oriented digital library. Lack of a suitable existing classification system led to the creation of a lightweight, balanced, general classification system that allows the mapping of more specialized classification schemes into the new framework. We have developed the following classification system to give equal weight to all STI disciplines, while being compact and lightweight.

The long tail: a usage analysis of pre-1993 print biomedical journal literature

PubMed Central

Starr, Susan; Williams, Jeff

2008-01-01

Objective: The research analyzes usage of a major biomedical library's pre-1993 print journal collection. Methodology: In July 2003, in preparation for a renovation and expansion project, the Biomedical Library at the University of California, San Diego, moved all of its pre-1993 journal volumes off-site, with the exception of twenty-two heavily used titles. Patrons wishing to consult one of these stored volumes could request that it be delivered to the library for their use. In the spring of 2006, an analysis was made of these requests. Results: By July of 2006, 79,827 journal volumes published in 1992 or earlier had been requested from storage. The number of requests received declined with age of publication. The usage distribution exhibited a “long tail”: 50% of the 79,827 requests were for journal volumes published before 1986. The availability of electronic access dramatically reduced the chance that corresponding print journal volumes would be requested. Conclusions: The older biomedical print journal literature appears to be of continued value to the biomedical research community. When electronic access was provided to the older literature, demand for older print volumes declined dramatically. PMID:18219377

A community of practice: librarians in a biomedical research network.

PubMed

De Jager-Loftus, Danielle P; Midyette, J David; Harvey, Barbara

2014-01-01

Providing library and reference services within a biomedical research community presents special challenges for librarians, especially those in historically lower-funded states. These challenges can include understanding needs, defining and communicating the library's role, building relationships, and developing and maintaining general and subject specific knowledge. This article describes a biomedical research network and the work of health sciences librarians at the lead intensive research institution with librarians from primarily undergraduate institutions and tribal colleges. Applying the concept of a community of practice to a collaborative effort suggests how librarians can work together to provide effective reference services to researchers in biomedicine.

Classification System and Information Services in the Library of SAO RAS

NASA Astrophysics Data System (ADS)

Shvedova, G. S.

The classification system used at SAO RAS is described. It includes both special determinants from UDC (Universal Decimal Classification) and newer tables with astronomical terms from the Library-Bibliographical Classification (LBC). The classification tables are continually modified, and new astronomical terms are introduced. At the present time the information services of the scientists is fulfilled with the help of the Abstract Journal Astronomy, Astronomy and Astrophysics Abstracts, catalogues and card indexes of the library. Based on our classification system and The Astronomy Thesaurus completed by R.M. Shobbrook and R.R. Shobbrook the development of a database for the library has been started, which allows prompt service of the observatory's staff members.

Enriching User-Oriented Class Associations for Library Classification Schemes.

ERIC Educational Resources Information Center

Pu, Hsiao-Tieh; Yang, Chyan

2003-01-01

Explores the possibility of adding user-oriented class associations to hierarchical library classification schemes. Analyses a log of book circulation records from a university library in Taiwan and shows that classification schemes can be made more adaptable by analyzing circulation patterns of similar users. (Author/LRW)

77 FR 37684 - National Library of Medicine; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-22

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... privacy. Name of Committee: Biomedical Library and Informatics Review Committee. Date: November 15-16.... Place: National Library of Medicine, Building 38, 2nd Floor, Board Room, 8600 Rockville Pike, Bethesda...

Library Classification 2020

ERIC Educational Resources Information Center

Harris, Christopher

2013-01-01

In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

Biomedical literature classification using encyclopedic knowledge: a Wikipedia-based bag-of-concepts approach.

PubMed

Mouriño García, Marcos Antonio; Pérez Rodríguez, Roberto; Anido Rifón, Luis E

2015-01-01

Automatic classification of text documents into a set of categories has a lot of applications. Among those applications, the automatic classification of biomedical literature stands out as an important application for automatic document classification strategies. Biomedical staff and researchers have to deal with a lot of literature in their daily activities, so it would be useful a system that allows for accessing to documents of interest in a simple and effective way; thus, it is necessary that these documents are sorted based on some criteria-that is to say, they have to be classified. Documents to classify are usually represented following the bag-of-words (BoW) paradigm. Features are words in the text-thus suffering from synonymy and polysemy-and their weights are just based on their frequency of occurrence. This paper presents an empirical study of the efficiency of a classifier that leverages encyclopedic background knowledge-concretely Wikipedia-in order to create bag-of-concepts (BoC) representations of documents, understanding concept as "unit of meaning", and thus tackling synonymy and polysemy. Besides, the weighting of concepts is based on their semantic relevance in the text. For the evaluation of the proposal, empirical experiments have been conducted with one of the commonly used corpora for evaluating classification and retrieval of biomedical information, OHSUMED, and also with a purpose-built corpus of MEDLINE biomedical abstracts, UVigoMED. Results obtained show that the Wikipedia-based bag-of-concepts representation outperforms the classical bag-of-words representation up to 157% in the single-label classification problem and up to 100% in the multi-label problem for OHSUMED corpus, and up to 122% in the single-label classification problem and up to 155% in the multi-label problem for UVigoMED corpus.

Biomedical literature classification using encyclopedic knowledge: a Wikipedia-based bag-of-concepts approach

PubMed Central

Pérez Rodríguez, Roberto; Anido Rifón, Luis E.

2015-01-01

Automatic classification of text documents into a set of categories has a lot of applications. Among those applications, the automatic classification of biomedical literature stands out as an important application for automatic document classification strategies. Biomedical staff and researchers have to deal with a lot of literature in their daily activities, so it would be useful a system that allows for accessing to documents of interest in a simple and effective way; thus, it is necessary that these documents are sorted based on some criteria—that is to say, they have to be classified. Documents to classify are usually represented following the bag-of-words (BoW) paradigm. Features are words in the text—thus suffering from synonymy and polysemy—and their weights are just based on their frequency of occurrence. This paper presents an empirical study of the efficiency of a classifier that leverages encyclopedic background knowledge—concretely Wikipedia—in order to create bag-of-concepts (BoC) representations of documents, understanding concept as “unit of meaning”, and thus tackling synonymy and polysemy. Besides, the weighting of concepts is based on their semantic relevance in the text. For the evaluation of the proposal, empirical experiments have been conducted with one of the commonly used corpora for evaluating classification and retrieval of biomedical information, OHSUMED, and also with a purpose-built corpus of MEDLINE biomedical abstracts, UVigoMED. Results obtained show that the Wikipedia-based bag-of-concepts representation outperforms the classical bag-of-words representation up to 157% in the single-label classification problem and up to 100% in the multi-label problem for OHSUMED corpus, and up to 122% in the single-label classification problem and up to 155% in the multi-label problem for UVigoMED corpus. PMID:26468436

78 FR 76848 - National Library of Medicine; Notice of Closed Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-19

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2013-03-26

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2011-12-12

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Federal Register 2010, 2011, 2012, 2013, 2014

2013-06-18

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2012-03-26

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2010-03-18

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Sub-threshold standard cell library design for ultra-low power biomedical applications.

PubMed

Li, Ming-Zhong; Ieong, Chio-In; Law, Man-Kay; Mak, Pui-In; Vai, Mang-I; Martins, Rui P

2013-01-01

Portable/Implantable biomedical applications usually exhibit stringent power budgets for prolonging battery life time, but loose operating frequency requirements due to small bio-signal bandwidths, typically below a few kHz. The use of sub-threshold digital circuits is ideal in such scenario to achieve optimized power/speed tradeoffs. This paper discusses the design of a sub-threshold standard cell library using a standard 0.18-µm CMOS technology. A complete library of 56 standard cells is designed and the methodology is ensured through schematic design, transistor width scaling and layout design, as well as timing, power and functionality characterization. Performance comparison between our sub-threshold standard cell library and a commercial standard cell library using a 5-stage ring oscillator and an ECG designated FIR filter is performed. Simulation results show that our library achieves a total power saving of 95.62% and a leakage power reduction of 97.54% when compared with the same design implemented by the commercial standard cell library (SCL).

Dewey Decimal Classification for U. S. Conn: An Advantage?

ERIC Educational Resources Information Center

Marek, Kate

This paper examines the use of the Dewey Decimal Classification (DDC) system at the U. S. Conn Library at Wayne State College (WSC) in Nebraska. Several developments in the last 20 years which have eliminated the trend toward reclassification of academic library collections from DDC to the Library of Congress (LC) classification scheme are…

Preservation of the Biomedical Literature: A Plan for the National Library of Medicine.

ERIC Educational Resources Information Center

Humphreys, Betsy L.; And Others

Established in 1956, the National Library of Medicine (NLM) was charged to acquire and preserve books, periodicals, prints, films, recordings, and other library materials pertinent to medicine. Since the establishment of the NLM, significant effort has been devoted to carrying out preservation responsibilities. In 1983, the Library Operations (LO)…

Laws, leaders, and legends of the modern National Library of Medicine

PubMed Central

Smith, Kent A.

2008-01-01

Purpose: The paper is an expanded version of the 2007 Joseph Leiter National Library of Medicine (NLM)/Medical Library Association Lecture presented at MLA ‘07, the Medical Library Association annual meeting in Philadelphia in May 2007. It presents an historical accounting of four major pieces of legislation, beginning with the NLM Act of 1956 up through the creation of the National Center for Biotechnology Information. Brief Description: The transition from the United States Armed Forces Medical Library to the United States National Library of Medicine in 1956 was a major turning point in NLM's history, scope, and direction. The succeeding landmark legislative achievements—namely, the 1965 Medical Library Assistance Act, the 1968 Joint Resolution forming the Lister Hill National Center for Biomedical Communications, and the 1988 authorization for the National Center for Biotechnology Information— transformed the library into a major biomedical communications institution and a leader and supporter of an effective national network of libraries of medicine. The leaders of the library and its major advocates—including Dr. Michael DeBakey, Senator Lister Hill, and Senator Claude Pepper—together contributed to the creation of the modern NLM. PMID:18379667

Teaching Classification To Fit a Modern and Sustainable LIS Curriculum: The Case of Croatia.

ERIC Educational Resources Information Center

Slavic, Aida

Library classification at the Croatian library school of the Department of Information Sciences, University of Zagreb (Croatia) has an important place in the department's curriculum. This is due to the fact that classification is the most important indexing language in Croatian libraries and documentation centers and services, and its role has not…

Museum of Comparative Zoology Library--The Agassiz Library: Harvard University.

ERIC Educational Resources Information Center

Jonas, Eva S.; Regen, Shari S.

1986-01-01

Argues that the Museum of Comparative Zoology Library reflects the union between the nineteenth century natural history values of Louis Agassiz and the twentieth century library and information science methodology. Special collections, records, cataloging and classification, serials and their classification, policies, services, and procedures are…

A Road Less Traveled By: Exploring a Decade of Ellman Chemistry

PubMed Central

Shelat, Anang A.; Guy, R. Kiplin

2009-01-01

The Ellman group has been one of the most influential in the development and widespread adoption of combinatorial chemistry techniques for biomedical research. Their work has included substantial methodological development for library synthesis with a particular focus on new scaffolds rationally targeted to biomolecules of interest and biologically relevant natural products. Herein we analyze a representative set of libraries from this group with respect to their biological and biomedical relevance in comparison to existing drugs and probe compounds. This analysis reveals that the Ellman group has not only provided new methodologies to the community but also provided libraries with unique potential for further biological study. PMID:18343129

Crisis in Cataloging Revisited: The Year's Work in Subject Analysis, 1990.

ERIC Educational Resources Information Center

Young, James Bradford

1991-01-01

Reviews the 1990 literature that concerns subject analysis. Issues addressed include subject cataloging, including Library of Congress Subject Headings (LCSH); classification, including Dewey Decimal Classification (DDC), Library of Congress Classification, and classification in online systems; subject access, including the online use of…

Current Status of Biomedical Book Reviewing: Part I. Key Biomedical Reviewing Journals with Quantitative Significance

PubMed Central

Chen, Ching-Chih; Wright, Arthuree M.

1974-01-01

This is the first part of a comprehensive, quantitative study of biomedical book reviewing. The data base of the total project was built from statistics taken from all 1970 issues of biomedical journals held in the Science Library of the Massachusetts Institute of Technology. Of 285 so-called “life sciences” journals held by that library, fifty-four English journals (excluding Science and Nature) were found to contain bona fide book reviews (as contrasted with mere author-title lists) and were therefore selected for close study. The statistical results reveal that there were 3,347 reviews of 2,067 biomedical books in these fifty-four selected journals in 1970. Part I of the study identifies key biomedical reviewing journals of quantitative significance. The top ten journals, British Medical Journal, Lancet, Annals of Internal Medicine, Journal of the American Medical Association, Archives of Internal Medicine, New England Journal of Medicine, Quarterly Review of Biology, Bioscience, Canadian Medical Association Journal,* and American Journal of the Medical Sciences, accounted for 63.03% of the total number of reviews in 1970. PMID:4826479

Current status of biomedical book reviewing. I. Key biomedical reviewing journals with quantitative significance.

PubMed

Chen, C C; Wright, A M

1974-04-01

This is the first part of a comprehensive, quantitative study of biomedical book reviewing. The data base of the total project was built from statistics taken from all 1970 issues of biomedical journals held in the Science Library of the Massachusetts Institute of Technology. Of 285 so-called "life sciences" journals held by that library, fifty-four English journals (excluding Science and Nature) were found to contain bona fide book reviews (as contrasted with mere author-title lists) and were therefore selected for close study. The statistical results reveal that there were 3,347 reviews of 2,067 biomedical books in these fifty-four selected journals in 1970. Part I of the study identifies key biomedical reviewing journals of quantitative significance. The top ten journals, British Medical Journal, Lancet, Annals of Internal Medicine, Journal of the American Medical Association, Archives of Internal Medicine, New England Journal of Medicine, Quarterly Review of Biology, Bioscience, Canadian Medical Association Journal,(*) and American Journal of the Medical Sciences, accounted for 63.03% of the total number of reviews in 1970.

The semantic measures library and toolkit: fast computation of semantic similarity and relatedness using biomedical ontologies.

PubMed

Harispe, Sébastien; Ranwez, Sylvie; Janaqi, Stefan; Montmain, Jacky

2014-03-01

The semantic measures library and toolkit are robust open-source and easy to use software solutions dedicated to semantic measures. They can be used for large-scale computations and analyses of semantic similarities between terms/concepts defined in terminologies and ontologies. The comparison of entities (e.g. genes) annotated by concepts is also supported. A large collection of measures is available. Not limited to a specific application context, the library and the toolkit can be used with various controlled vocabularies and ontology specifications (e.g. Open Biomedical Ontology, Resource Description Framework). The project targets both designers and practitioners of semantic measures providing a JAVA library, as well as a command-line tool that can be used on personal computers or computer clusters. Downloads, documentation, tutorials, evaluation and support are available at http://www.semantic-measures-library.org.

The anatomy of a World Wide Web library service: the BONES demonstration project. Biomedically Oriented Navigator of Electronic Services.

PubMed Central

Schnell, E H

1995-01-01

In 1994, the John A. Prior Health Sciences Library at Ohio State University began to develop a World Wide Web demonstration project, the Biomedically Oriented Navigator of Electronic Services (BONES). The initial intent of BONES was to facilitate the health professional's access to Internet resources by organizing them in a systematic manner. The project not only met this goal but also helped identify the resources needed to launch a full-scale Web library service. This paper discusses the tasks performed and resources used in the development of BONES and describes the creation and organization of documents on the BONES Web server. The paper also discusses the outcomes of the project and the impact on the library's staff and services. PMID:8547903

The librarian's role in an enrichment program for high school students interested in the health professions.

PubMed

Rossini, Beverly; Burnham, Judy; Wright, Andrea

2013-01-01

Librarians from the University of South Alabama Biomedical Library partnered to participate in a program that targets minority students interested in health care with instruction in information literacy. Librarians participate in the summer enrichment programs designed to encourage minority students to enter health care professions by enhancing their preparation. The curriculum developed by the Biomedical Library librarians is focused on developing information searching skills. Students indicated that the library segment helped them in their library research efforts and helped them make more effective use of available resources. Librarians involved report a sense of self-satisfaction as the program allows them to contribute to promoting greater diversity in health care professions. Participating in the summer enrichment program has been beneficial to the students and librarians.

78 FR 13359 - National Library of Medicine; Notice of Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2013-02-27

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

75 FR 42101 - National Library of Medicine; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-20

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the National Library...

77 FR 1940 - National Library of Medicine; Notice of Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2012-01-12

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the National Library...

77 FR 37684 - National Library of Medicine; Notice of Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2012-06-22

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with... National Library of Medicine, including consideration of personnel qualifications and performance, and the...

75 FR 78718 - National Library of Medicine; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2010-12-16

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

76 FR 48873 - National Library of Medicine Notice of Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-09

... DEPARTMENT OF HEALTH AND HUMAN SERVICES National Institutes of Health National Library of Medicine... for Biomedical Communications. The meeting will be open to the public as indicated below, with..., discussion, and evaluation of individual intramural programs and projects conducted by the NATIONAL LIBRARY...

State Aids to Medical Libraries in Hospitals. Report of the Council on Library and Network Development. Bulletin No. 3209.

ERIC Educational Resources Information Center

Wisconsin State Dept. of Public Instruction, Madison. Div. of Library Services.

This report presents an overview of health science libraries and the biomedical communications network in Wisconsin, and a list of goals and recommendations related to the role of the state government in the development of health science library services. It is noted that health science libraries in the state range from hospital and academic…

Building a biomedical tokenizer using the token lattice design pattern and the adapted Viterbi algorithm

PubMed Central

2011-01-01

Background Tokenization is an important component of language processing yet there is no widely accepted tokenization method for English texts, including biomedical texts. Other than rule based techniques, tokenization in the biomedical domain has been regarded as a classification task. Biomedical classifier-based tokenizers either split or join textual objects through classification to form tokens. The idiosyncratic nature of each biomedical tokenizer’s output complicates adoption and reuse. Furthermore, biomedical tokenizers generally lack guidance on how to apply an existing tokenizer to a new domain (subdomain). We identify and complete a novel tokenizer design pattern and suggest a systematic approach to tokenizer creation. We implement a tokenizer based on our design pattern that combines regular expressions and machine learning. Our machine learning approach differs from the previous split-join classification approaches. We evaluate our approach against three other tokenizers on the task of tokenizing biomedical text. Results Medpost and our adapted Viterbi tokenizer performed best with a 92.9% and 92.4% accuracy respectively. Conclusions Our evaluation of our design pattern and guidelines supports our claim that the design pattern and guidelines are a viable approach to tokenizer construction (producing tokenizers matching leading custom-built tokenizers in a particular domain). Our evaluation also demonstrates that ambiguous tokenizations can be disambiguated through POS tagging. In doing so, POS tag sequences and training data have a significant impact on proper text tokenization. PMID:21658288

A Pathfinder for Animal Research and Animal Rights.

ERIC Educational Resources Information Center

Anderson, David C.

1992-01-01

This pathfinder was originally prepared for "Biomedical Research and Animal Rights," a session sponsored by the Veterinary Medical Libraries and Research Libraries Sections of the Medical Library Association. Current resources are described, from bibliographies to electronic bulletin boards, which relate to the issue of laboratory animal…

Mechanization of Library Procedures in the Medium-Sized Medical Library: XIV. Correlations between National Library of Medicine Classification Numbers and MeSH Headings *

PubMed Central

Fenske, Ruth E.

1972-01-01

The purpose of this study was to determine the amount of correlation between National Library of Medicine classification numbers and MeSH headings in a body of cataloging which had already been done and then to find out which of two alternative methods of utilizing the correlation would be best. There was a correlation of 44.5% between classification numbers and subject headings in the data base studied, cataloging data covering 8,137 books. The results indicate that a subject heading index showing classification numbers would be the preferred method of utilization, because it would be more accurate than the alternative considered, an arrangement by classification numbers which would be consulted to obtain subject headings. PMID:16017607

Dissemination of Medical Information: Organizational and Technological Issues in Health Sciences Libraries.

ERIC Educational Resources Information Center

Roderer, Nancy K.

1993-01-01

Describes five programs that have been significant to the evolution of biomedical communications in health sciences libraries over the last twenty years: the National Network of Libraries of Medicine (NNLM); Integrated Advanced Information Management Systems (IAIMS); National Research and Education Network (NREN); Unified Medical Language System…

Combined Edition of Family Planning Library Manual and Family Planning Classification.

ERIC Educational Resources Information Center

Planned Parenthood--World Population, New York, NY. Katherine Dexter McCormick Library.

This edition combines two previous publications of the Katharine Dexter McCormick Library into one volume: the Family Planning Library Manual, a guide for starting a family planning and population library or information center, and the Family Planning Classification, a coding system for organizing book and non-book materials so that they can be…

U.S. Geological Survey Library classification system

USGS Publications Warehouse

Sasscer, R. Scott

2000-01-01

The U.S. Geological Survey Library classification system has been designed for earth science libraries. It is a tool for assigning call numbers to earth science and allied pure science materials in order to collect these materials into related subject groups on the library shelves and arrange them alphabetically by author and title. The classification can be used as a retrieval system to access materials through the subject and geographic numbers.The classification scheme has been developed over the years since 1904 to meet the ever-changing needs of increased specialization and the development of new areas of research in the earth sciences. The system contains seven schedules: Subject scheduleGeological survey schedule Earth science periodical scheduleGovernment document periodical scheduleGeneral science periodical schedule Earth science map schedule Geographic schedule Introduction provides detailed instructions on the construction of call numbers for works falling into the framework of the classification schedules.The tables following the introduction can be quickly accessed through the use of the newly expanded subject index.The purpose of this publication is to provide the earth science community with a classification and retrieval system for earth science materials, to offer sufficient explanation of its structure and use, and to enable library staff and clientele to classify or access research materials in a library collection.

Looking backward, 1984-1959: twenty-five years of library automation--a personal view.

PubMed Central

Pizer, I H

1984-01-01

A brief profile of Janet Doe is given. Twenty-five years of library automation are reviewed from the author's point of view. Major projects such as the SUNY Biomedical Communication Network and the Regional Online Union Catalog of the Greater Midwest Regional Medical Library Network are discussed. Important figures in medical library automation are considered, as is the major role played by the National Library of Medicine. Images PMID:6388691

Advancement and applications of peptide phage display technology in biomedical science.

PubMed

Wu, Chien-Hsun; Liu, I-Ju; Lu, Ruei-Min; Wu, Han-Chung

2016-01-19

Combinatorial phage library is a powerful research tool for high-throughput screening of protein interactions. Of all available molecular display techniques, phage display has proven to be the most popular approach. Screening phage-displayed random peptide libraries is an effective means of identifying peptides that can bind target molecules and regulate their function. Phage-displayed peptide libraries can be used for (i) B-cell and T-cell epitope mapping, (ii) selection of bioactive peptides bound to receptors or proteins, disease-specific antigen mimics, peptides bound to non-protein targets, cell-specific peptides, or organ-specific peptides, and (iii) development of peptide-mediated drug delivery systems and other applications. Targeting peptides identified using phage display technology may be useful for basic research and translational medicine. In this review article, we summarize the latest technological advancements in the application of phage-displayed peptide libraries to applied biomedical sciences.

The Organization of Knowledge and Bibliographic Classification in Nineteenth-Century America

ERIC Educational Resources Information Center

Wisser, Katherine M.

2009-01-01

Bibliographic classification is culturally bound. This research examines the classification systems created for social libraries in the first half of the nineteenth century in the United States. Social libraries are defined as institutions that have voluntary membership and are dependent on membership fees. Seventeen classified catalogs were…

Analysis of a Bibliographic Database Enhanced with a Library Classification.

ERIC Educational Resources Information Center

Drabenstott, Karen Markey; And Others

1990-01-01

Describes a project that examined the effects of incorporating subject terms from the Dewey Decimal Classification (DDC) into a bibliographic database. It is concluded that the incorporation of DDC and possibly other library classifications into online catalogs can enhance subject access and provide additional subject searching strategies. (11…

Information Literacy for Users at the National Medical Library of Cuba: Cochrane Library Course for the Search of Best Evidence for Clinical Decisions

ERIC Educational Resources Information Center

Santana Arroyo, Sonia; del Carmen Gonzalez Rivero, Maria

2012-01-01

The National Medical Library of Cuba is currently developing an information literacy program to train users in the use of biomedical databases. This paper describes the experience with the course "Cochrane Library: Evidence-Based Medicine," which aims to teach users how to make the best use of this database, as well as the evidence-based…

Discovery of User-Oriented Class Associations for Enriching Library Classification Schemes.

ERIC Educational Resources Information Center

Pu, Hsiao-Tieh

2002-01-01

Presents a user-based approach to exploring the possibility of adding user-oriented class associations to hierarchical library classification schemes. Classes not grouped in the same subject hierarchies yet relevant to users' knowledge are obtained by analyzing a log book of a university library's circulation records, using collaborative filtering…

Biomedical Engineering | Classification | College of Engineering & Applied

Science.gov Websites

Engineering, Biomedical Engineering(414) 229-6614wjchang@uwm.eduEng & Math Sciences 1113 profile photo Malkoc, Ph.D.Visiting Assistant ProfessorBiomedical Engineering414-229-6919malkoc@uwm.eduEng & Math Engineering / Electrical Engineering(414) 229-3327misra@uwm.eduEng & Math Sciences E-314 profile photo

Selective Medical Library on Microfiche. An international experiment supported by the Rockefeller Foundation.

PubMed Central

Saracevic, T

1988-01-01

The Selective Medical Library on Microfiche (SMLM) project is designed to improve access to the world's significant biomedical literature in developing countries' medical school libraries through the provision of a first-rate, low-cost core collection of journals. One hundred and five journals representing thirty-six biomedical specialties were selected using a method designed specifically for SMLM. The journals are provided on microfiche because of its relative low cost, durability, easy reproduction, and rapid delivery by air mail. SMLMs have been established at test and demonstration sites in four medical schools in Egypt, Indonesia, Mexico, and Colombia. SMLMs are delivered as turnkey systems consisting of the microfiche collection, a reader-printer, four fiche readers, necessary furniture, and promotional and training materials. The project involves extensive evaluation. PMID:3370375

Librarian participation in expanding the pool of potential medical students.

PubMed

Guerrieri, Rose

2012-01-01

This article reports on the results of an exploratory survey to determine if librarians actively participate in medical school student recruiting programs. It looks specifically at what librarians are doing to assist with recruitment and what biomedical career resources their libraries offer. The survey link was e-mailed to all U.S. medical school library directors, who were asked to forward it to the appropriate librarian. Out of 113 medical schools, 68 (60%) responded to most questions. Forty-three (86%) of 50 item respondents do participate in such activities, and 29 (67%) of 43 item respondents have been doing so for more than five years. Thirty-two (64%) of 50 item respondents provide resources on biomedical careers in the libraries. Copyright © Taylor & Francis Group, LLC

A Method for Estimating the In-House Use of the Periodical Collection in the University of Minnesota Bio-Medical Library

PubMed Central

Tibbetts, Pamela

1974-01-01

During two one-week periods in April 1972, information on periodical title and date was gathered from periodicals collected from study and reshelving tables of the University of Minnesota Bio-Medical Library. It was determined that: (1) a few titles accounted for most of the total use; (2) the relationship between age and amount of use of a journal may be described by the equation y = ke−bx; and (3) the last five years of publication accounted for 58% of the total use. PMID:4812590

Recent Developments in Canadian Medical Libraries

PubMed Central

Fraser, M. Doreen E.

1964-01-01

Library developments since the Biomedical Library's establishment in 1951 are discussed, including the province-wide B.C. Medical Library Service and the recent activities of Canadian medical school librarians. The recommendations about medical libraries, which were submitted by the Committee of the Medical Science Libraries, C.L.A.-A.C.B., in its Brief to the Canadian Government's Royal Commission on Health Services, are listed. There is some discussion of the Survey report of the twelve medical school libraries which has been prepared for the Royal Commission's Special Committee on Medical Education, the outcome of which will not be known until midsummer 1963. PMID:14119303

Collection Assessment in Response to Changing Curricula: An Analysis of the Biotechnology Resources at the University of Colorado at Boulder

ERIC Educational Resources Information Center

Wiersma, Gabrielle

2010-01-01

Increasing demand for biotechnology and biomedical resources prompted the Engineering Library at the University of Colorado at Boulder (UCB) to complete a collection assessment of the journals, books, and other resources provided by the University Libraries. This paper presents a variety of methods for evaluating library collections and describes…

DNA-encoded libraries - an efficient small molecule discovery technology for the biomedical sciences.

PubMed

Kunig, Verena; Potowski, Marco; Gohla, Anne; Brunschweiger, Andreas

2018-06-27

DNA-encoded compound libraries are a highly attractive technology for the discovery of small molecule protein ligands. These compound collections consist of small molecules covalently connected to individual DNA sequences carrying readable information about the compound structure. DNA-tagging allows for efficient synthesis, handling and interrogation of vast numbers of chemically synthesized, drug-like compounds. They are screened on proteins by an efficient, generic assay based on Darwinian principles of selection. To date, selection of DNA-encoded libraries allowed for the identification of numerous bioactive compounds. Some of these compounds uncovered hitherto unknown allosteric binding sites on target proteins; several compounds proved their value as chemical biology probes unraveling complex biology; and the first examples of clinical candidates that trace their ancestry to a DNA-encoded library were reported. Thus, DNA-encoded libraries proved their value for the biomedical sciences as a generic technology for the identification of bioactive drug-like molecules numerous times. However, large scale experiments showed that even the selection of billions of compounds failed to deliver bioactive compounds for the majority of proteins in an unbiased panel of target proteins. This raises the question of compound library design.

Biomedical waste management in Ayurveda hospitals - current practices & future prospectives.

PubMed

Rajan, Renju; Robin, Delvin T; M, Vandanarani

2018-03-16

Biomedical waste management is an integral part of traditional and contemporary system of health care. The paper focuses on the identification and classification of biomedical wastes in Ayurvedic hospitals, current practices of its management in Ayurveda hospitals and its future prospective. Databases like PubMed (1975-2017 Feb), Scopus (1960-2017), AYUSH Portal, DOAJ, DHARA and Google scholar were searched. We used the medical subject headings 'biomedical waste' and 'health care waste' for identification and classification. The terms 'biomedical waste management', 'health care waste management' alone and combined with 'Ayurveda' or 'Ayurvedic' for current practices and recent advances in the treatment of these wastes were used. We made a humble attempt to categorize the biomedical wastes from Ayurvedic hospitals as the available data about its grouping is very scarce. Proper biomedical waste management is the mainstay of hospital cleanliness, hospital hygiene and maintenance activities. Current disposal techniques adopted for Ayurveda biomedical wastes are - sewage/drains, incineration and land fill. But these methods are having some merits as well as demerits. Our review has identified a number of interesting areas for future research such as the logical application of bioremediation techniques in biomedical waste management and the usage of effective micro-organisms and solar energy in waste disposal. Copyright © 2017 Transdisciplinary University, Bangalore and World Ayurveda Foundation. Published by Elsevier B.V. All rights reserved.

Managing an Academic Library. Parts I and II.

ERIC Educational Resources Information Center

Werner, Gloria; Brudvig, Glenn

1985-01-01

Describes management experiences at University of California--Los Angeles (UCLA), University of Minnesota Biomedical Library, and California Institute of Technology. Discussions include development of ORION (UCLA's online technical processing and information system); organizational changes occurring as result of large-scale automation;…

Library Bulletin [International Planned Parenthood Federation, May 1976].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

This loose-leaf collection includes a brief discussion of usage procedures for International Planned Parenthood Federation (IPPF) libraries. A set of annotated bibliographies follows, including descriptions of documents on the following topics: family planning and biomedical science, social sciences related to family planning, education and…

The effect of call libraries and acoustic filters on the identification of bat echolocation.

PubMed

Clement, Matthew J; Murray, Kevin L; Solick, Donald I; Gruver, Jeffrey C

2014-09-01

Quantitative methods for species identification are commonly used in acoustic surveys for animals. While various identification models have been studied extensively, there has been little study of methods for selecting calls prior to modeling or methods for validating results after modeling. We obtained two call libraries with a combined 1556 pulse sequences from 11 North American bat species. We used four acoustic filters to automatically select and quantify bat calls from the combined library. For each filter, we trained a species identification model (a quadratic discriminant function analysis) and compared the classification ability of the models. In a separate analysis, we trained a classification model using just one call library. We then compared a conventional model assessment that used the training library against an alternative approach that used the second library. We found that filters differed in the share of known pulse sequences that were selected (68 to 96%), the share of non-bat noises that were excluded (37 to 100%), their measurement of various pulse parameters, and their overall correct classification rate (41% to 85%). Although the top two filters did not differ significantly in overall correct classification rate (85% and 83%), rates differed significantly for some bat species. In our assessment of call libraries, overall correct classification rates were significantly lower (15% to 23% lower) when tested on the second call library instead of the training library. Well-designed filters obviated the need for subjective and time-consuming manual selection of pulses. Accordingly, researchers should carefully design and test filters and include adequate descriptions in publications. Our results also indicate that it may not be possible to extend inferences about model accuracy beyond the training library. If so, the accuracy of acoustic-only surveys may be lower than commonly reported, which could affect ecological understanding or management decisions based on acoustic surveys.

The effect of call libraries and acoustic filters on the identification of bat echolocation

PubMed Central

Clement, Matthew J; Murray, Kevin L; Solick, Donald I; Gruver, Jeffrey C

2014-01-01

Quantitative methods for species identification are commonly used in acoustic surveys for animals. While various identification models have been studied extensively, there has been little study of methods for selecting calls prior to modeling or methods for validating results after modeling. We obtained two call libraries with a combined 1556 pulse sequences from 11 North American bat species. We used four acoustic filters to automatically select and quantify bat calls from the combined library. For each filter, we trained a species identification model (a quadratic discriminant function analysis) and compared the classification ability of the models. In a separate analysis, we trained a classification model using just one call library. We then compared a conventional model assessment that used the training library against an alternative approach that used the second library. We found that filters differed in the share of known pulse sequences that were selected (68 to 96%), the share of non-bat noises that were excluded (37 to 100%), their measurement of various pulse parameters, and their overall correct classification rate (41% to 85%). Although the top two filters did not differ significantly in overall correct classification rate (85% and 83%), rates differed significantly for some bat species. In our assessment of call libraries, overall correct classification rates were significantly lower (15% to 23% lower) when tested on the second call library instead of the training library. Well-designed filters obviated the need for subjective and time-consuming manual selection of pulses. Accordingly, researchers should carefully design and test filters and include adequate descriptions in publications. Our results also indicate that it may not be possible to extend inferences about model accuracy beyond the training library. If so, the accuracy of acoustic-only surveys may be lower than commonly reported, which could affect ecological understanding or management decisions based on acoustic surveys. PMID:25535563

The effect of call libraries and acoustic filters on the identification of bat echolocation

USGS Publications Warehouse

Clement, Matthew; Murray, Kevin L; Solick, Donald I; Gruver, Jeffrey C

2014-01-01

Quantitative methods for species identification are commonly used in acoustic surveys for animals. While various identification models have been studied extensively, there has been little study of methods for selecting calls prior to modeling or methods for validating results after modeling. We obtained two call libraries with a combined 1556 pulse sequences from 11 North American bat species. We used four acoustic filters to automatically select and quantify bat calls from the combined library. For each filter, we trained a species identification model (a quadratic discriminant function analysis) and compared the classification ability of the models. In a separate analysis, we trained a classification model using just one call library. We then compared a conventional model assessment that used the training library against an alternative approach that used the second library. We found that filters differed in the share of known pulse sequences that were selected (68 to 96%), the share of non-bat noises that were excluded (37 to 100%), their measurement of various pulse parameters, and their overall correct classification rate (41% to 85%). Although the top two filters did not differ significantly in overall correct classification rate (85% and 83%), rates differed significantly for some bat species. In our assessment of call libraries, overall correct classification rates were significantly lower (15% to 23% lower) when tested on the second call library instead of the training library. Well-designed filters obviated the need for subjective and time-consuming manual selection of pulses. Accordingly, researchers should carefully design and test filters and include adequate descriptions in publications. Our results also indicate that it may not be possible to extend inferences about model accuracy beyond the training library. If so, the accuracy of acoustic-only surveys may be lower than commonly reported, which could affect ecological understanding or management decisions based on acoustic surveys.

Unsupervised Biomedical Named Entity Recognition: Experiments with Clinical and Biological Texts

PubMed Central

Zhang, Shaodian; Elhadad, Nóemie

2013-01-01

Named entity recognition is a crucial component of biomedical natural language processing, enabling information extraction and ultimately reasoning over and knowledge discovery from text. Much progress has been made in the design of rule-based and supervised tools, but they are often genre and task dependent. As such, adapting them to different genres of text or identifying new types of entities requires major effort in re-annotation or rule development. In this paper, we propose an unsupervised approach to extracting named entities from biomedical text. We describe a stepwise solution to tackle the challenges of entity boundary detection and entity type classification without relying on any handcrafted rules, heuristics, or annotated data. A noun phrase chunker followed by a filter based on inverse document frequency extracts candidate entities from free text. Classification of candidate entities into categories of interest is carried out by leveraging principles from distributional semantics. Experiments show that our system, especially the entity classification step, yields competitive results on two popular biomedical datasets of clinical notes and biological literature, and outperforms a baseline dictionary match approach. Detailed error analysis provides a road map for future work. PMID:23954592

Using knowledge management practices to develop a state-of-the-art digital library.

PubMed

Williams, Annette M; Giuse, Nunzia Bettinsoli; Koonce, Taneya Y; Kou, Qinghua; Giuse, Dario A

2004-01-01

Diffusing knowledge management practices within an organization encourages and facilitates reuse of the institution's knowledge commodity. Following knowledge management practices, the Eskind Biomedical Library (EBL) has created a Digital Library that uses a holistic approach for integration of information and skills to best represent both explicit and tacit knowledge inherent in libraries. EBL's Digital Library exemplifies a clear attempt to organize institutional knowledge in the field of librarianship, in an effort to positively impact clinical, research, and educational processes in the medical center.

Building a Multi-Discipline Digital Library Through Extending the Dienst Protocol

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Maly, Kurt; Shen, Stewart N. T.

1997-01-01

The purpose of this project is to establish multi-discipline capability for a unified, canonical digital library service for scientific and technical information (STI). This is accomplished by extending the Dienst Protocol to be aware of subject classification of a servers holdings. We propose a hierarchical, general, and extendible subject classification that can encapsulate existing classification systems.

A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching

PubMed Central

Mei, Xiaoguang; Ma, Yong; Li, Chang; Fan, Fan; Huang, Jun; Ma, Jiayi

2015-01-01

The state-of-the-art ultra-spectral sensor technology brings new hope for high precision applications due to its high spectral resolution. However, it also comes with new challenges, such as the high data dimension and noise problems. In this paper, we propose a real-time method for infrared ultra-spectral signature classification via spatial pyramid matching (SPM), which includes two aspects. First, we introduce an infrared ultra-spectral signature similarity measure method via SPM, which is the foundation of the matching-based classification method. Second, we propose the classification method with reference spectral libraries, which utilizes the SPM-based similarity for the real-time infrared ultra-spectral signature classification with robustness performance. Specifically, instead of matching with each spectrum in the spectral library, our method is based on feature matching, which includes a feature library-generating phase. We calculate the SPM-based similarity between the feature of the spectrum and that of each spectrum of the reference feature library, then take the class index of the corresponding spectrum having the maximum similarity as the final result. Experimental comparisons on two publicly-available datasets demonstrate that the proposed method effectively improves the real-time classification performance and robustness to noise. PMID:26205263

Effective biomedical document classification for identifying publications relevant to the mouse Gene Expression Database (GXD).

PubMed

Jiang, Xiangying; Ringwald, Martin; Blake, Judith; Shatkay, Hagit

2017-01-01

The Gene Expression Database (GXD) is a comprehensive online database within the Mouse Genome Informatics resource, aiming to provide available information about endogenous gene expression during mouse development. The information stems primarily from many thousands of biomedical publications that database curators must go through and read. Given the very large number of biomedical papers published each year, automatic document classification plays an important role in biomedical research. Specifically, an effective and efficient document classifier is needed for supporting the GXD annotation workflow. We present here an effective yet relatively simple classification scheme, which uses readily available tools while employing feature selection, aiming to assist curators in identifying publications relevant to GXD. We examine the performance of our method over a large manually curated dataset, consisting of more than 25 000 PubMed abstracts, of which about half are curated as relevant to GXD while the other half as irrelevant to GXD. In addition to text from title-and-abstract, we also consider image captions, an important information source that we integrate into our method. We apply a captions-based classifier to a subset of about 3300 documents, for which the full text of the curated articles is available. The results demonstrate that our proposed approach is robust and effectively addresses the GXD document classification. Moreover, using information obtained from image captions clearly improves performance, compared to title and abstract alone, affirming the utility of image captions as a substantial evidence source for automatically determining the relevance of biomedical publications to a specific subject area. www.informatics.jax.org. © The Author(s) 2017. Published by Oxford University Press.

Complementary DNA libraries: an overview.

PubMed

Ying, Shao-Yao

2004-07-01

The generation of complete and full-length cDNA libraries for potential functional assays of specific gene sequences is essential for most molecules in biotechnology and biomedical research. The field of cDNA library generation has changed rapidly in the past 10 yr. This review presents an overview of the method available for the basic information of generating cDNA libraries, including the definition of the cDNA library, different kinds of cDNA libraries, difference between methods for cDNA library generation using conventional approaches and a novel strategy, and the quality of cDNA libraries. It is anticipated that the high-quality cDNA libraries so generated would facilitate studies involving genechips and the microarray, differential display, subtractive hybridization, gene cloning, and peptide library generation.

Reclassification: Rationale and Problems; Proceedings of a Conference on Reclassification held at the Center of Adult Education, University of Maryland, College Park, April 4 to 6, 1968.

ERIC Educational Resources Information Center

Perreault, Jean M., Ed.

Several factors are involved in the decision to reclassify library collections and several problems and choices must be faced. The discussion of four classification schemes (Dewey Decimal, Library of Congress, Library of Congress subject-headings and Universal Decimal Classification) involved in the choices concerns their structure, currency,…

The Retrieval of Information in an Elementary School Library Media Center: An Alternative Method of Classification in the Common School Library, Amherst, Massachusetts.

ERIC Educational Resources Information Center

Cooper, Linda

1997-01-01

Discusses the problems encountered by elementary school children in retrieving information from a library catalog, either the traditional card catalog or an OPAC (online public access catalog). An alternative system of classification using colors and symbols is described that was developed in the Common School (Amherst, Massachusetts). (Author/LRW)

Cancer Therapy (Preclinical and Clinical): A Decimal Classification, (Categories 51.1, 51.2, and 51.3).

ERIC Educational Resources Information Center

Schneider, John H.

This hierarchical decimal classification of information related to cancer therapy in humans and animals (preceeded by a few general categories) is a working draft of categories taken from an extensive classification of biomedical information. Because the classification identifies very small areas of cancer information, it can be used for precise…

National Library of Medicine Classification: A Scheme for the Shelf Arrangement of Books in a Field of Medicine and Its Related Sciences. Fourth Edition.

ERIC Educational Resources Information Center

Wiggins, Emilie, Ed.

Outlined is the National Library of Medicine classification system for medicine and related sciences. In this system each preclinical science, such as human anatomy, biochemistry or pathology, and each medical subject, such as infectious diseases or pediatrics, receives a two-letter classification. Under each of these main headings numbered minor…

Can We Future-Proof Library Automation?

ERIC Educational Resources Information Center

Breeding, Marshall

2010-01-01

It's an obvious observation that librarians today find themselves dealing with collections of ever larger proportions of electronic content. The degree to which that shift has already taken place varies from one type of library to another. Some organizations, especially those involved with specializations in biomedical, scientific, or business,…

Library Bulletin, International Planned Parenthood Federation.

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

The current issue of the International Planned Parenthood Federation (IPPF) Library Bulletin combines an acquisitions list with that of special bibliographies. The broad classes follow the IPPF general organization by topics: (1) general reference, (2) IPPF, (3) family planning and maternal and child health and care, (4) bio-medical study and…

Library Bulletin, International Planned Parenthood Federation, November 1976.

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

The current issue of the International Planned Parenthood Federation (IPPF) Library Bulletin combines an acquisitions list with that of special bibliographies. The broad classes follow the IPPF general organization by topics: (1) general reference, (2) IPPF, (3) family planning and maternal and child health and care, (4) bio-medical study and…

The comparative importance of books: clinical psychology in the health sciences library.

PubMed Central

Wehmeyer, J M; Wehmeyer, S

1999-01-01

Clinical psychology has received little attention as a subject in health sciences library collections. This study seeks to demonstrate the relative importance of the monographic literature to clinical psychology through the examination of citations in graduate student theses and dissertations at the Fordham Health Sciences Library, Wright State University. Dissertations and theses were sampled randomly; citations were classified by format, counted, and subjected to statistical analysis. Books and book chapters together account for 35% of the citations in clinical psychology dissertations, 25% in nursing theses, and 8% in biomedical sciences theses and dissertations. Analysis of variance indicates that the citations in dissertations and theses in the three areas differ significantly (F = 162.2 with 2 and 253 degrees of freedom, P = 0.0001). Dissertations and theses in biomedical sciences and nursing theses both cite significantly more journals per book than the dissertations in clinical psychology. These results support the hypothesis that users of clinical psychology literature rely more heavily on books than many other users of a health sciences library. Problems with using citation analyses in a single subject to determine a serials to monographs ratio for a health sciences library are pointed out. PMID:10219478

DDC19: An Indictment.

ERIC Educational Resources Information Center

Berman, Sanford

1980-01-01

Criticizes the 19th edition of "Dewey Decimal Classification" for violating traditional classification goals for library materials and ignoring the desires of libraries and other users. A total reform is proposed to eliminate Phoenix schedules and to accept only those relocations approved by an editorial board of users. (RAA)

The Use of Bibliographical Information Media by the Borrowers at the Karolinska Institutets Bibliotek (the Library of the Karolinska Institutet)

ERIC Educational Resources Information Center

Hakulinen, Erkki

1974-01-01

A survey at the Karolinska Institutet Bibliotek in Sweden, and a comparison with an earlier survey at the National Lending Library, showed that conventional bibliographical information media are still responsible for the major part of information about biomedical literature. (Author/LS)

Library Bulletin, International Planned Parenthood Federation. February 1977.

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

This issue of the International Planned Parenthood Federation (IPPF) Library Bulletin combines an acquisitions list with that of special bibliographies. The broad classes follow the IPPF general organization by topics: (1) general reference, (2) IPPF, (3) family planning and maternal and child health and care, (4) bio-medical study and research on…

The Clinical Practice Library of Medicine (CPLM): An on-line biomedical computer library. System documentation

NASA Technical Reports Server (NTRS)

Grams, R. R.

1982-01-01

A system designed to access a large range of available medical textbook information in an online interactive fashion is described. A high level query type database manager, INQUIRE, is used. Operating instructions, system flow diagrams, database descriptions, text generation, and error messages are discussed. User information is provided.

Improved opponent color local binary patterns: an effective local image descriptor for color texture classification

NASA Astrophysics Data System (ADS)

Bianconi, Francesco; Bello-Cerezo, Raquel; Napoletano, Paolo

2018-01-01

Texture classification plays a major role in many computer vision applications. Local binary patterns (LBP) encoding schemes have largely been proven to be very effective for this task. Improved LBP (ILBP) are conceptually simple, easy to implement, and highly effective LBP variants based on a point-to-average thresholding scheme instead of a point-to-point one. We propose the use of this encoding scheme for extracting intra- and interchannel features for color texture classification. We experimentally evaluated the resulting improved opponent color LBP alone and in concatenation with the ILBP of the local color contrast map on a set of image classification tasks over 9 datasets of generic color textures and 11 datasets of biomedical textures. The proposed approach outperformed other grayscale and color LBP variants in nearly all the datasets considered and proved competitive even against image features from last generation convolutional neural networks, particularly for the classification of biomedical images.

A contour-based shape descriptor for biomedical image classification and retrieval

NASA Astrophysics Data System (ADS)

You, Daekeun; Antani, Sameer; Demner-Fushman, Dina; Thoma, George R.

2013-12-01

Contours, object blobs, and specific feature points are utilized to represent object shapes and extract shape descriptors that can then be used for object detection or image classification. In this research we develop a shape descriptor for biomedical image type (or, modality) classification. We adapt a feature extraction method used in optical character recognition (OCR) for character shape representation, and apply various image preprocessing methods to successfully adapt the method to our application. The proposed shape descriptor is applied to radiology images (e.g., MRI, CT, ultrasound, X-ray, etc.) to assess its usefulness for modality classification. In our experiment we compare our method with other visual descriptors such as CEDD, CLD, Tamura, and PHOG that extract color, texture, or shape information from images. The proposed method achieved the highest classification accuracy of 74.1% among all other individual descriptors in the test, and when combined with CSD (color structure descriptor) showed better performance (78.9%) than using the shape descriptor alone.

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

PubMed Central

2012-01-01

Background Dimensionality reduction (DR) enables the construction of a lower dimensional space (embedding) from a higher dimensional feature space while preserving object-class discriminability. However several popular DR approaches suffer from sensitivity to choice of parameters and/or presence of noise in the data. In this paper, we present a novel DR technique known as consensus embedding that aims to overcome these problems by generating and combining multiple low-dimensional embeddings, hence exploiting the variance among them in a manner similar to ensemble classifier schemes such as Bagging. We demonstrate theoretical properties of consensus embedding which show that it will result in a single stable embedding solution that preserves information more accurately as compared to any individual embedding (generated via DR schemes such as Principal Component Analysis, Graph Embedding, or Locally Linear Embedding). Intelligent sub-sampling (via mean-shift) and code parallelization are utilized to provide for an efficient implementation of the scheme. Results Applications of consensus embedding are shown in the context of classification and clustering as applied to: (1) image partitioning of white matter and gray matter on 10 different synthetic brain MRI images corrupted with 18 different combinations of noise and bias field inhomogeneity, (2) classification of 4 high-dimensional gene-expression datasets, (3) cancer detection (at a pixel-level) on 16 image slices obtained from 2 different high-resolution prostate MRI datasets. In over 200 different experiments concerning classification and segmentation of biomedical data, consensus embedding was found to consistently outperform both linear and non-linear DR methods within all applications considered. Conclusions We have presented a novel framework termed consensus embedding which leverages ensemble classification theory within dimensionality reduction, allowing for application to a wide range of high-dimensional biomedical data classification and segmentation problems. Our generalizable framework allows for improved representation and classification in the context of both imaging and non-imaging data. The algorithm offers a promising solution to problems that currently plague DR methods, and may allow for extension to other areas of biomedical data analysis. PMID:22316103

Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion.

PubMed

Agarwal, Shashank; Yu, Hong

2009-12-01

Biomedical texts can be typically represented by four rhetorical categories: Introduction, Methods, Results and Discussion (IMRAD). Classifying sentences into these categories can benefit many other text-mining tasks. Although many studies have applied different approaches for automatically classifying sentences in MEDLINE abstracts into the IMRAD categories, few have explored the classification of sentences that appear in full-text biomedical articles. We first evaluated whether sentences in full-text biomedical articles could be reliably annotated into the IMRAD format and then explored different approaches for automatically classifying these sentences into the IMRAD categories. Our results show an overall annotation agreement of 82.14% with a Kappa score of 0.756. The best classification system is a multinomial naïve Bayes classifier trained on manually annotated data that achieved 91.95% accuracy and an average F-score of 91.55%, which is significantly higher than baseline systems. A web version of this system is available online at-http://wood.ims.uwm.edu/full_text_classifier/.

Information and informatics literacies of first-year medical students

PubMed Central

Bouquin, Daina R.; Tmanova, Lyubov L.; Wright, Drew

2015-01-01

Purpose The study evaluated medical students' familiarity with information literacy and informatics during the health sciences library orientation. Methods A survey was fielded at the start of the 2013 school year. Results Seventy-two of 77 students (94%) completed the survey. Over one-half (57%) expected to use library research materials and services. About half (43%) expected to use library physical space. Students preferred accessing biomedical research on laptops and learning via online-asynchronous modes. Conclusions The library identified areas for service development and outreach to medical students and academic departments. PMID:26512221

Providing library services in a time of fiscal crisis: alternatives.

PubMed Central

Cheshier, R G

1977-01-01

The nature of the fiscal crisis in health science libraries in the United States is in part due to the style of management in these libraries, in part due to the lack of user identification, in part due to the lack of economically valid fees for service, and in part due to the success of the Biomedical Communications Network. These issues are discussed in terms of how they might be approached. A pragmatic stance is advocated for practitioners, the MLA, the NLM, and library schools to jointly address the questions raised. PMID:901951

Queering the Catalog: Queer Theory and the Politics of Correction

ERIC Educational Resources Information Center

Drabinski, Emily

2013-01-01

Critiques of hegemonic library classification structures and controlled vocabularies have a rich history in information studies. This project has pointed out the trouble with classification and cataloging decisions that are framed as objective and neutral but are always ideological and worked to correct bias in library structures. Viewing…

AstroCV: Astronomy computer vision library

NASA Astrophysics Data System (ADS)

González, Roberto E.; Muñoz, Roberto P.; Hernández, Cristian A.

2018-04-01

AstroCV processes and analyzes big astronomical datasets, and is intended to provide a community repository of high performance Python and C++ algorithms used for image processing and computer vision. The library offers methods for object recognition, segmentation and classification, with emphasis in the automatic detection and classification of galaxies.

Cataloguing and Classification Section. Bibliographic Control Division. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations, The Hague (Netherlands).

Papers on cataloging, classification, and coding systems which were presented at the 1982 International Federation of Library Associations (IFLA) conference include: (1) "Numbering and Coding Systems for Bibliographic Control in Use in North America" by Lois Mai Chan (United States); (2) "A Project Undertaken by the Library of…

Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.

PubMed

Wang, Liqin; Haug, Peter J; Del Fiol, Guilherme

2017-05-01

Mining disease-specific associations from existing knowledge resources can be useful for building disease-specific ontologies and supporting knowledge-based applications. Many association mining techniques have been exploited. However, the challenge remains when those extracted associations contained much noise. It is unreliable to determine the relevance of the association by simply setting up arbitrary cut-off points on multiple scores of relevance; and it would be expensive to ask human experts to manually review a large number of associations. We propose that machine-learning-based classification can be used to separate the signal from the noise, and to provide a feasible approach to create and maintain disease-specific vocabularies. We initially focused on disease-medication associations for the purpose of simplicity. For a disease of interest, we extracted potentially treatment-related drug concepts from biomedical literature citations and from a local clinical data repository. Each concept was associated with multiple measures of relevance (i.e., features) such as frequency of occurrence. For the machine purpose of learning, we formed nine datasets for three diseases with each disease having two single-source datasets and one from the combination of previous two datasets. All the datasets were labeled using existing reference standards. Thereafter, we conducted two experiments: (1) to test if adding features from the clinical data repository would improve the performance of classification achieved using features from the biomedical literature only, and (2) to determine if classifier(s) trained with known medication-disease data sets would be generalizable to new disease(s). Simple logistic regression and LogitBoost were two classifiers identified as the preferred models separately for the biomedical-literature datasets and combined datasets. The performance of the classification using combined features provided significant improvement beyond that using biomedical-literature features alone (p-value<0.001). The performance of the classifier built from known diseases to predict associated concepts for new diseases showed no significant difference from the performance of the classifier built and tested using the new disease's dataset. It is feasible to use classification approaches to automatically predict the relevance of a concept to a disease of interest. It is useful to combine features from disparate sources for the task of classification. Classifiers built from known diseases were generalizable to new diseases. Copyright © 2017 Elsevier Inc. All rights reserved.

Classification in Australia.

ERIC Educational Resources Information Center

McKinlay, John

Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

Testing Orr's document delivery test on biomedical journals in South Africa.

PubMed Central

Steynberg, S; Rossouw, S F

1995-01-01

This paper describes the use of a document delivery test (DDT) to measure the availability of biomedical research journals in South African health sciences libraries. The methodology employed was developed twenty years ago by a team of researchers from the Institute for the Advancement of Medical Communication under the direction of R. H. Orr. The testing of the methodology was in itself an objective of the present research. A citation pool consisting of 307 items was constructed from references to journal articles in papers published in 1989 by South African biomedical researchers. The availability of each article was determined at each of seven medical library sites; the performance was measured and presented as an arithmetical value or document delivery capability index (CI). The results of the tests show a high level of availability, ranging from CI = 81.68 to CI = 92.97 for the journals sampled. The DDT methodology was found to be practical, applicable to such studies, and flexible. Its use is recommended for similar studies. Images PMID:7703944

Starting the data conversation: informing data services at an academic health sciences library.

PubMed

Read, Kevin B; Surkis, Alisa; Larson, Catherine; McCrillis, Aileen; Graff, Alice; Nicholson, Joey; Xu, Juanchan

2015-07-01

The research obtained information to plan data-related products and services. Biomedical researchers in an academic medical center were selected using purposive sampling and interviewed using open-ended questions based on a literature review. Interviews were conducted until saturation was achieved. Interview responses informed library planners about researchers' key data issues. This approach proved valuable for planning data management products and services and raising library visibility among clients in the research data realm.

Meeting the Information Needs of Interdisciplinary Scholars: Issues for Administrators of Large University Libraries.

ERIC Educational Resources Information Center

Searing, Susan E.

1996-01-01

Provides an overview of administrative issues in supporting interdisciplinary library use at large universities. Topics include information resources; cataloging and classification; library services to users, including library use education and reference services; library organization; the campus context; and the politics of interdisciplinarity.…

Discovering Jewish Studies Collections in Academic Libraries: A Practical Guide

ERIC Educational Resources Information Center

Taler, Izabella

2014-01-01

The U.S. colleges and universities offering non-sectarian educational programs in Jewish Studies rely on the support of their academic libraries for research materials and library services. For college libraries which use Library of Congress Classification scheme, it is a common practice to integrate "studies" resources into their…

Towards a library of synthetic galaxy spectra and preliminary results of classification and parametrization of unresolved galaxies for Gaia. II

NASA Astrophysics Data System (ADS)

Tsalmantza, P.; Kontizas, M.; Rocca-Volmerange, B.; Bailer-Jones, C. A. L.; Kontizas, E.; Bellas-Velidis, I.; Livanou, E.; Korakitis, R.; Dapergolas, A.; Vallenari, A.; Fioc, M.

2009-09-01

Aims: This paper is the second in a series, implementing a classification system for Gaia observations of unresolved galaxies. Our goals are to determine spectral classes and estimate intrinsic astrophysical parameters via synthetic templates. Here we describe (1) a new extended library of synthetic galaxy spectra; (2) its comparison with various observations; and (3) first results of classification and parametrization experiments using simulated Gaia spectrophotometry of this library. Methods: Using the PÉGASE.2 code, based on galaxy evolution models that take account of metallicity evolution, extinction correction, and emission lines (with stellar spectra based on the BaSeL library), we improved our first library and extended it to cover the domain of most of the SDSS catalogue. Our classification and regression models were support vector machines (SVMs). Results: We produce an extended library of 28 885 synthetic galaxy spectra at zero redshift covering four general Hubble types of galaxies, over the wavelength range between 250 and 1050 nm at a sampling of 1 nm or less. The library is also produced for 4 random values of redshift in the range of 0-0.2. It is computed on a random grid of four key astrophysical parameters (infall timescale and 3 parameters defining the SFR) and, depending on the galaxy type, on two values of the age of the galaxy. The synthetic library was compared and found to be in good agreement with various observations. The first results from the SVM classifiers and parametrizers are promising, indicating that Hubble types can be reliably predicted and several parameters estimated with low bias and variance.

A Classification Scheme for Adult Education. Education Libraries Bulletin, Supplement Twelve.

ERIC Educational Resources Information Center

Greaves, Monica A., Comp.

This classification scheme, based on the 'facet formula' theory of Ranganathan, is designed primarily for the library of the National Institute of Adult Education in London, England. Kinds of persons being educated (educands), methods and problems of education, specific countries, specific organizations, and forms in which the information is…

The Libraries of Rio.

ERIC Educational Resources Information Center

Foster, Barbara

1988-01-01

Describes aspects of several libraries in Rio de Janeiro. Topics covered include library policies, budgets, periodicals and books in the collections, classification schemes used, and literary areas of interest to patrons. (6 references) (CLB)

An Expert System for Classifying Stars on the MK Spectral Classification System

NASA Astrophysics Data System (ADS)

Corbally, Christopher J.; Gray, R. O.

2013-01-01

We will describe an expert computer system designed to classify stellar spectra on the MK Spectral Classification system employing methods similar to those of humans who make direct comparison with the MK classification standards. Like an expert human classifier, MKCLASS first comes up with a rough spectral type, and then refines that type by direct comparison with MK standards drawn from a standards library using spectral criteria appropriate to the spectral class. Certain common spectral-type peculiarities can also be detected by the program. The program is also capable of identifying WD spectra and carbon stars and giving appropriate (but currently approximate) spectral types on the relevant systems. We will show comparisons between spectral types (including luminosity types) performed by MKCLASS and humans. The program currently is capable of competent classifications in the violet-green region, but plans are underway to extend the spectral criteria into the red and near-infrared regions. Two standard libraries with resolutions of 1.8 and 3.6Å are now available, but a higher-resolution standard library, using the new spectrograph on the Vatican Advanced Technology Telescope, is currently under preparation. Once that library is available, MKCLASS and the spectral libraries will be made available to the astronomical community.

Classification of Respiratory Sounds by Using An Artificial Neural Network

DTIC Science & Technology

2001-10-28

CLASSIFICATION OF RESPIRATORY SOUNDS BY USING AN ARTIFICIAL NEURAL NETWORK M.C. Sezgin, Z. Dokur, T. Ölmez, M. Korürek Department of Electronics and...successfully classified by the GAL network. Keywords-Respiratory Sounds, Classification of Biomedical Signals, Artificial Neural Network . I. INTRODUCTION...process, feature extraction, and classification by the artificial neural network . At first, the RS signal obtained from a real-time measurement equipment is

Do open access biomedical journals benefit smaller countries? The Slovenian experience.

PubMed

Turk, Nana

2011-06-01

Scientists from smaller countries have problems gaining visibility for their research. Does open access publishing provide a solution? Slovenia is a small country with around 5000 medical doctors, 1300 dentists and 1000 pharmacists. A search of Slovenia's Bibliographic database was carried out to identity all biomedical journals and those which are open access. Slovenia has 18 medical open access journals, but none has an impact factor and only 10 are indexed by Slovenian and international bibliographic databases. The visibility and quality of medical papers is poor. The solution might be to reduce the number of journals and encourage Slovenian scientists to publish their best articles in them. © 2011 The authors. Health Information and Libraries Journal © 2011 Health Libraries Group.

[Decreasing the Output of Biomedical Waste in the Intensive Care Unit].

PubMed

Shen, Ming-Yi; Chang, Chun-Chu; Li, Mung-Yeng; Lin, Jui-Hsiang

2017-10-01

Advancing healthcare technologies have increased the use of disposable supplies that are made with PVC (polyvinyl chloride). Furthermore, biomedical effluents are steadily increasing due to severe patient treatment requirements in intensive care units. If these biomedical wastes are not properly managed and disposed, they will cause great harm to the environment and to public health. The statistics from an intensive care unit at one medical center in northern Taiwan show that the per-person biomedical effluents produced in 2014 increased 8.51% over 2013 levels. The main reasons for this increase included the low accuracy of classification of the contents of biomedical effluent collection buckets and of personnel effluents in the intensive care unit and the generally poor selection and designation of appropriate containers. Improvement measures were implemented in order to decrease the per-day weight of biomedical effluents by 10% per person (-0.22 kg/person/day). The project team developed various strategies, including creating classification-related slogans and posting promotional posters, holding education and training using actual case studies, establishing an "environmental protection pioneer" team, and promoting the use of appropriate containers. The implementation of the project decreased the per-day weight of biomedical effluents by 13.2% per person. Implementation of the project effectively reduced the per-person daily output of biological wastes and improved the waste separation behavior of healthcare personnel in the unit, giving patients and their families a better healthcare environment and helping advance the cause of environmental protection worldwide.

CLO: The cell line ontology

PubMed Central

2014-01-01

Background Cell lines have been widely used in biomedical research. The community-based Cell Line Ontology (CLO) is a member of the OBO Foundry library that covers the domain of cell lines. Since its publication two years ago, significant updates have been made, including new groups joining the CLO consortium, new cell line cells, upper level alignment with the Cell Ontology (CL) and the Ontology for Biomedical Investigation, and logical extensions. Construction and content Collaboration among the CLO, CL, and OBI has established consensus definitions of cell line-specific terms such as ‘cell line’, ‘cell line cell’, ‘cell line culturing’, and ‘mortal’ vs. ‘immortal cell line cell’. A cell line is a genetically stable cultured cell population that contains individual cell line cells. The hierarchical structure of the CLO is built based on the hierarchy of the in vivo cell types defined in CL and tissue types (from which cell line cells are derived) defined in the UBERON cross-species anatomy ontology. The new hierarchical structure makes it easier to browse, query, and perform automated classification. We have recently added classes representing more than 2,000 cell line cells from the RIKEN BRC Cell Bank to CLO. Overall, the CLO now contains ~38,000 classes of specific cell line cells derived from over 200 in vivo cell types from various organisms. Utility and discussion The CLO has been applied to different biomedical research studies. Example case studies include annotation and analysis of EBI ArrayExpress data, bioassays, and host-vaccine/pathogen interaction. CLO’s utility goes beyond a catalogue of cell line types. The alignment of the CLO with related ontologies combined with the use of ontological reasoners will support sophisticated inferencing to advance translational informatics development. PMID:25852852

Starting the data conversation: informing data services at an academic health sciences library*

PubMed Central

Read, Kevin B.; Surkis, Alisa; Larson, Catherine; McCrillis, Aileen; Graff, Alice; Nicholson, Joey; Xu, Juanchan

2015-01-01

Objective The research obtained information to plan data-related products and services. Methods Biomedical researchers in an academic medical center were selected using purposive sampling and interviewed using open-ended questions based on a literature review. Interviews were conducted until saturation was achieved. Results Interview responses informed library planners about researchers’ key data issues. Conclusions This approach proved valuable for planning data management products and services and raising library visibility among clients in the research data realm. PMID:26213504

Model Personnel Policy for Ohio Academic Libraries and Public Libraries; Personnel Guidelines for Governmental Libraries, School Library Media Centers, Special Libraries.

ERIC Educational Resources Information Center

Ohio Library Foundation, Columbus.

A guide which any library may use to achieve its own statement of personnel policy presents policy models which suggest rules and regulations to be used to supervise the staffs of public and academic libraries. These policies cover: (1) appointments; (2) classification of positions; (3) faculty and staff development; (4) performance evaluations;…

U.S. Geological Survey Library classification system

USGS Publications Warehouse

Sasscer, R. Scott

1992-01-01

The U.S. Geological Survey library classification system has been designed for an earth science library. It is a tool for assigning classification numbers to earth science and allied pure science library materials in order to collect these materials into related subject groups on the library shelves and arrange them alphabetically by author and title. It can also be used as a retrieval system to access these materials through the subject and visible geographic classification numbers.The classification scheme has been developed over the years since 1904 to meet the ever-changing needs of increased specialization and new areas of study in the earth sciences.This system contains seven schedules:Subject scheduleGeological survey scheduleEarth science periodical scheduleGovernment documents periodical scheduleGeneral science periodical scheduleEarth science maps scheduleGeographic scheduleA geographic number, from the geographic schedule, is distinguished from other numbers in the system in that it is always enclosed in parentheses; for example, (200) is the geographic number for the United States.The geographic number is used in conjunction with the six other previously listed schedules, and it represents slightly different nuances of meanings, in respect to geographic locale, for each schedule.When used with a subject number, the geographic number indicates the country, state, province, or region in which the research was made. The subject number, 203, geology, when combined with the geographic number, (200), for example 203(200), is the classification number for library materials on the geology of the United States.The geographic number, combined with the capital letter G, for example, G(211), is the classification number for an earth science periodical issued by a geological association or university geology department in the State of Maine.When the letter S is combined with a geographic number, for example, S(276), it represents a general science periodical for a university or association in California.When the letter P is combined with a geographic number, for example, P(200), it represents a governmental periodical issued by the United States Federal Government.Geographic numbers standing alone represent classification numbers for the publications of geological surveys; for example, (200) represents publications of the U.S. Geological Survey.Map call numbers have a geographic number preceded by the capital letter M, followed by an abbreviated subject number.For example:M(200)2where:M = Map(200) = Geographic region of the United States2 = Abbreviation for the subject number 203— geology.The introduction, which follows this abstract, provides detailed procedures on the construction of complete call numbers for works falling into the framework of the aforesaid classification schedules.The tables following the introduction can be quickly accessed through the use of the newly expanded subject index.The purpose of this publication is to provide the earth science community with a classification and retrieval system for earth science materials, to provide sufficient explanation of its structure and use, and to enable library staff and clientele to classify or access research materials in a library collection.

Cancer Biochemistry and Host-Tumor Interactions: A Decimal Classification, (Categories 51.6, 51.7, and 51.8).

ERIC Educational Resources Information Center

Schneider, John H.

This is a hierarchical decimal classification of information related to cancer biochemistry, to host-tumor interactions (including cancer immunology), and to occurrence of cancer in special types of animals and plants. It is a working draft of categories taken from an extensive classification of many fields of biomedical information. Because the…

The medical matters wiki: building a library Web site 2.0.

PubMed

Robertson, Justin; Burnham, Judy; Li, Jie; Sayed, Ellen

2008-01-01

New and innovative information technologies drive the ever-evolving library profession. From clay tablet to parchment scroll to manufactured paper to computer screen pixel, information storage, retrieval, and delivery methods continue to evolve, and each advance irrevocably affects the way libraries, and librarians, work. The Internet has forever altered information and library science, both in theory and practice, but even within this context the progression continues. Though ambiguously defined, Web 2.0 offers a new outlook and new software, presenting librarians with potentially invaluable new tools and methods. This paper discusses the creation, implementation, and maintenance of a Web 2.0 technology, the wiki, as a resource tool for an academic biomedical library.

Real-Time Processing Library for Open-Source Hardware Biomedical Sensors

PubMed Central

Castro-García, Juan A.; Lebrato-Vázquez, Clara

2018-01-01

Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino Genuino. In addition, 11 people took part in an experiment in which they had to implement several exercises and complete a usability test. Sampling rates under 250 Hz (typical for many biomedical applications) makes it feasible to implement filters, sliding windows and Fourier analysis, operating in real time. Participants rated software usability at 70.2 out of 100 and the ease of use when implementing several signal processing applications was rated at just over 4.4 out of 5. Participants showed their intention of using this software because it was percieved as useful and very easy to use. The performances of the library showed that it may be appropriate for implementing small biomedical real-time applications or for human movement monitoring, even in a simple open-source hardware device like Arduino Genuino. The general perception about this library is that it is easy to use and intuitive. PMID:29596394

Real-Time Processing Library for Open-Source Hardware Biomedical Sensors.

PubMed

Molina-Cantero, Alberto J; Castro-García, Juan A; Lebrato-Vázquez, Clara; Gómez-González, Isabel M; Merino-Monge, Manuel

2018-03-29

Applications involving data acquisition from sensors need samples at a preset frequency rate, the filtering out of noise and/or analysis of certain frequency components. We propose a novel software architecture based on open-software hardware platforms which allows programmers to create data streams from input channels and easily implement filters and frequency analysis objects. The performances of the different classes given in the size of memory allocated and execution time (number of clock cycles) were analyzed in the low-cost platform Arduino Genuino. In addition, 11 people took part in an experiment in which they had to implement several exercises and complete a usability test. Sampling rates under 250 Hz (typical for many biomedical applications) makes it feasible to implement filters, sliding windows and Fourier analysis, operating in real time. Participants rated software usability at 70.2 out of 100 and the ease of use when implementing several signal processing applications was rated at just over 4.4 out of 5. Participants showed their intention of using this software because it was percieved as useful and very easy to use. The performances of the library showed that it may be appropriate for implementing small biomedical real-time applications or for human movement monitoring, even in a simple open-source hardware device like Arduino Genuino. The general perception about this library is that it is easy to use and intuitive.

The Visible Human Project of the National Library of Medicine: Remote access and distribution of a multi-gigabyte data set

NASA Technical Reports Server (NTRS)

Ackerman, Michael J.

1993-01-01

As part of the 1986 Long-Range Plan for the National Library of Medicine (NLM), the Planning Panel on Medical Education wrote that NLM should '...thoroughly and systematically investigate the technical requirements for and feasibility of instituting a biomedical images library.' The panel noted the increasing use of images in clinical practice and biomedical research. An image library would complement NLM's existing bibliographic and factual database services and would ideally be available through the same computer networks as are these current NLM services. Early in 1989, NLM's Board of Regents convened an ad hoc planning panel to explore possible roles for the NLM in the area of electronic image libraries. In its report to the Board of Regents, the NLM Planning Panel on Electronic Image Libraries recommended that 'NLM should undertake a first project building a digital image library of volumetric data representing a complete, normal adult male and female. This Visible Human Project will include digitized photographic images for cryosectioning, digital images derived from computerized tomography, and digital magnetic resonance images of cadavers.' The technologies needed to support digital high resolution image libraries, including rapid development; and that NLM encourage investigator-initiated research into methods for representing and linking spatial and textual information, structural informatics. The first part of the Visible Human Project is the acquisition of cross-sectional CT and MRI digital images and cross-sectional cryosectional photographic images of a representative male and female cadaver at an average of one millimeter intervals. The corresponding cross-sections in each of the three modalities are to be registerable with one another.

Microcomputers in Libraries.

ERIC Educational Resources Information Center

Ertel, Monica M.

1984-01-01

This discussion of current microcomputer technologies available to libraries focuses on software applications in four major classifications: communications (online database searching); word processing; administration; and database management systems. Specific examples of library applications are given and six references are cited. (EJS)

A Novel Multi-Class Ensemble Model for Classifying Imbalanced Biomedical Datasets

NASA Astrophysics Data System (ADS)

Bikku, Thulasi; Sambasiva Rao, N., Dr; Rao, Akepogu Ananda, Dr

2017-08-01

This paper mainly focuseson developing aHadoop based framework for feature selection and classification models to classify high dimensionality data in heterogeneous biomedical databases. Wide research has been performing in the fields of Machine learning, Big data and Data mining for identifying patterns. The main challenge is extracting useful features generated from diverse biological systems. The proposed model can be used for predicting diseases in various applications and identifying the features relevant to particular diseases. There is an exponential growth of biomedical repositories such as PubMed and Medline, an accurate predictive model is essential for knowledge discovery in Hadoop environment. Extracting key features from unstructured documents often lead to uncertain results due to outliers and missing values. In this paper, we proposed a two phase map-reduce framework with text preprocessor and classification model. In the first phase, mapper based preprocessing method was designed to eliminate irrelevant features, missing values and outliers from the biomedical data. In the second phase, a Map-Reduce based multi-class ensemble decision tree model was designed and implemented in the preprocessed mapper data to improve the true positive rate and computational time. The experimental results on the complex biomedical datasets show that the performance of our proposed Hadoop based multi-class ensemble model significantly outperforms state-of-the-art baselines.

Measuring body structures and body functions from the International Classification of Functioning, Disability, and Health perspective: considerations for biomedical parameters in spinal cord injury research.

PubMed

Eriks-Hoogland, Inge E; Brinkhof, Martin W G; Al-Khodairy, Abdul; Baumberger, Michael; Brechbühl, Jörg; Curt, Armin; Mäder, Mark; Stucki, Gerold; Post, Marcel W M

2011-11-01

The aims of this study were to provide a selection of biomedical domains based on the comprehensive International Classification of Functioning, Disability, and Health (ICF) core sets for spinal cord injury (SCI) and to present an overview of the corresponding measurement instruments. Based on the Biomedical Domain Set, the SCI literature, the International Spinal Cord Society international data sets, and the Spinal Cord Injury Rehabilitation Evidence project publications were used to derive category specifications for use in SCI research. Expert opinion was used to derive a priority selection. The same sources were used to determine candidate measurement instruments for the specification of body functions and body structures using an example, and guiding principles were applied to select the most appropriate biomedical measurement instrument(s) for use in an SCI research project. Literature searches were performed for 41 second-level ICF body functions categories and for four second-level ICF body structures categories. For some of these categories, only a few candidate measurement instruments were found with limited variation in the type of measurement instruments. An ICF-based measurement set for biomedical aspects of functioning with SCI was established. For some categories of the ICF core sets for SCI, there is a need to develop measurement instruments.

Building a Library Network from Scratch: Eric & Veronica's Excellent Adventure.

ERIC Educational Resources Information Center

Sisler, Eric; Smith, Veronica

2000-01-01

Describes library automation issues during the planning and construction of College Hill Library (Colorado), a joint-use facility shared by a community college and a public library. Discuses computer networks; hardware selection; public access to catalogs and electronic resources; classification schemes and bibliographic data; children's…

Are We Ready for the Virtual Library? Technology Push, Market Pull and Organisational Response.

ERIC Educational Resources Information Center

Gilbert, J. D.

1993-01-01

Discusses virtual libraries, i.e., library services available to users via personal computers; considers the issues of technological development, user demands, and organizational response; and describes progress toward virtual libraries in the Netherlands, including networks, online systems, navigation tools, subject classification, coordination…

Library Automation: Guidelines to Costing.

ERIC Educational Resources Information Center

Ford, Geoffrey

As with all new programs, the costs associated with library automation must be carefully considered before implementation. This document suggests guidelines to be followed and areas to be considered in the costing of library procedures. An existing system model has been suggested as a standard (Appendix A) and a classification of library tasks…

Ensemble Deep Learning for Biomedical Time Series Classification

PubMed Central

2016-01-01

Ensemble learning has been proved to improve the generalization ability effectively in both theory and practice. In this paper, we briefly outline the current status of research on it first. Then, a new deep neural network-based ensemble method that integrates filtering views, local views, distorted views, explicit training, implicit training, subview prediction, and Simple Average is proposed for biomedical time series classification. Finally, we validate its effectiveness on the Chinese Cardiovascular Disease Database containing a large number of electrocardiogram recordings. The experimental results show that the proposed method has certain advantages compared to some well-known ensemble methods, such as Bagging and AdaBoost. PMID:27725828

A Classification Methodology and Retrieval Model to Support Software Reuse

DTIC Science & Technology

1988-01-01

Dewey Decimal Classification ( DDC 18), an enumerative scheme, occupies 40 pages [Buchanan 19791. Langridge [19731 states that the facets listed in the...sense of historical importance or wide spread use. The schemes are: Dewey Decimal Classification ( DDC ), Universal Decimal Classification (UDC...Classification Systems ..... ..... 2.3.3 Library Classification__- .52 23.3.1 Dewey Decimal Classification -53 2.33.2 Universal Decimal Classification 55 2333

Classification of high-resolution multispectral satellite remote sensing images using extended morphological attribute profiles and independent component analysis

NASA Astrophysics Data System (ADS)

Wu, Yu; Zheng, Lijuan; Xie, Donghai; Zhong, Ruofei

2017-07-01

In this study, the extended morphological attribute profiles (EAPs) and independent component analysis (ICA) were combined for feature extraction of high-resolution multispectral satellite remote sensing images and the regularized least squares (RLS) approach with the radial basis function (RBF) kernel was further applied for the classification. Based on the major two independent components, the geometrical features were extracted using the EAPs method. In this study, three morphological attributes were calculated and extracted for each independent component, including area, standard deviation, and moment of inertia. The extracted geometrical features classified results using RLS approach and the commonly used LIB-SVM library of support vector machines method. The Worldview-3 and Chinese GF-2 multispectral images were tested, and the results showed that the features extracted by EAPs and ICA can effectively improve the accuracy of the high-resolution multispectral image classification, 2% larger than EAPs and principal component analysis (PCA) method, and 6% larger than APs and original high-resolution multispectral data. Moreover, it is also suggested that both the GURLS and LIB-SVM libraries are well suited for the multispectral remote sensing image classification. The GURLS library is easy to be used with automatic parameter selection but its computation time may be larger than the LIB-SVM library. This study would be helpful for the classification application of high-resolution multispectral satellite remote sensing images.

Spectral unmixing of urban land cover using a generic library approach

NASA Astrophysics Data System (ADS)

Degerickx, Jeroen; Lordache, Marian-Daniel; Okujeni, Akpona; Hermy, Martin; van der Linden, Sebastian; Somers, Ben

2016-10-01

Remote sensing based land cover classification in urban areas generally requires the use of subpixel classification algorithms to take into account the high spatial heterogeneity. These spectral unmixing techniques often rely on spectral libraries, i.e. collections of pure material spectra (endmembers, EM), which ideally cover the large EM variability typically present in urban scenes. Despite the advent of several (semi-) automated EM detection algorithms, the collection of such image-specific libraries remains a tedious and time-consuming task. As an alternative, we suggest the use of a generic urban EM library, containing material spectra under varying conditions, acquired from different locations and sensors. This approach requires an efficient EM selection technique, capable of only selecting those spectra relevant for a specific image. In this paper, we evaluate and compare the potential of different existing library pruning algorithms (Iterative Endmember Selection and MUSIC) using simulated hyperspectral (APEX) data of the Brussels metropolitan area. In addition, we develop a new hybrid EM selection method which is shown to be highly efficient in dealing with both imagespecific and generic libraries, subsequently yielding more robust land cover classification results compared to existing methods. Future research will include further optimization of the proposed algorithm and additional tests on both simulated and real hyperspectral data.

Demographic Variables as Factors Influencing Accessibility and Utilisation of Library Software by Undergraduates in Two Private Universities in Nigeria

ERIC Educational Resources Information Center

Tolulope, Akano

2017-01-01

Libraries before the 21st century carried out daily routine library task such as cataloguing and classification, acquisition, reference services etc using manual procedures only but the advent of Information Technology as transformed these routine task that libraries can now automate their activities by deploying the use of library software in…

Architecture and Initial Development of a Digital Library Platform for Computable Knowledge Objects for Health.

PubMed

Flynn, Allen J; Bahulekar, Namita; Boisvert, Peter; Lagoze, Carl; Meng, George; Rampton, James; Friedman, Charles P

2017-01-01

Throughout the world, biomedical knowledge is routinely generated and shared through primary and secondary scientific publications. However, there is too much latency between publication of knowledge and its routine use in practice. To address this latency, what is actionable in scientific publications can be encoded to make it computable. We have created a purpose-built digital library platform to hold, manage, and share actionable, computable knowledge for health called the Knowledge Grid Library. Here we present it with its system architecture.

Sustaining librarian vitality: embedded librarianship model for health sciences libraries.

PubMed

Wu, Lin; Mi, Misa

2013-01-01

With biomedical information widely accessible from anywhere at any time, health sciences libraries have become less centralized, and they are challenged to stay relevant and vital to the mission and strategic goals of their home institution. One solution is to embed librarians at strategic points in health professions' education, research, and patient care. This article discusses a proposed five-level model of embedded librarianship within the context of health sciences libraries and describes different roles, knowledge, and skills desirable for health sciences librarians working as embedded librarians.

Impact of Growth in the Universe of Subjects on Classification.

ERIC Educational Resources Information Center

Ranganathan, Shiyali Ramamritam

The development of the removal of rigidity in library classification is traced from the Enumerative Classification of DC (1876) through the Nearly-Faceted Classification of UDC (1896), the rigidly, though fully faceted version of CC (1933), the generalized faceted structure of version 2 of CC (1949), down to the Freely Faceted Classification of…

The Development of Classification at the Library of Congress. Occasional Papers, Number 164.

ERIC Educational Resources Information Center

Miksa, Francis

This paper traces the development of classification at the Library of Congress in terms of its broader context and by accounting for changes in the present system since its initial period of creation between 1898 and 1910 and the present. Topics covered include: (1) Early Growth of the Collections; (2) Subject Access During the Early Years; (3) A.…

An Investigation of Selective College and University Libraries' Serial Arrangement.

ERIC Educational Resources Information Center

Kesler, Elizabeth Gates; Teborek, Gay

Data from a survey on serials arrangement procedures and policies at academic libraries was used by the University of Rhode Island (URI) Library in changing current serials policies. Ten libraries, four of which have similar serial holdings and user populations to URI, responded to a questionnaire. Information was obtained on classification versus…

Implementing a Knowledge-Based Library Information System with Typed Horn Logic.

ERIC Educational Resources Information Center

Ait-Kaci, Hassan; And Others

1990-01-01

Describes a prototype library expert system called BABEL which uses a new programing language, LOGIN, that combines the idea of attribute inheritance with logic programing. Use of hierarchical classification of library objects to build a knowledge base for a library information system is explained, and further research is suggested. (11…

IFLA General Conference, 1986. Bibliographic Control Division. Section: Classification and Indexing. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations and Institutions, The Hague (Netherlands).

Papers on classification and indexing presented at the 1986 International Federation of Library Associations (IFLA) conference include: (1) "Profile on Chinese Cataloguing and Subject Cataloguing" (Yan Lizhong, China); (2) "The Trend of Classification in Japan" (Hiroshi Ishiyama, Japan); (3) "Classification in Online…

Genetics Home Reference: thanatophoric dysplasia

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: transthyretin amyloidosis

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: Brugada syndrome

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: Friedreich ataxia

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: frontonasal dysplasia

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: Apert syndrome

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Library Bulletin [International Planned Parenthood Federation].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Resources located in the International Planned Parenthood Federation (IPPF) Headquarters Library are inventoried in this library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration; (2) contraceptive methods; (3) family planning (general); (4) United Nations,…

A robust data scaling algorithm to improve classification accuracies in biomedical data.

PubMed

Cao, Xi Hang; Stojkovic, Ivan; Obradovic, Zoran

2016-09-09

Machine learning models have been adapted in biomedical research and practice for knowledge discovery and decision support. While mainstream biomedical informatics research focuses on developing more accurate models, the importance of data preprocessing draws less attention. We propose the Generalized Logistic (GL) algorithm that scales data uniformly to an appropriate interval by learning a generalized logistic function to fit the empirical cumulative distribution function of the data. The GL algorithm is simple yet effective; it is intrinsically robust to outliers, so it is particularly suitable for diagnostic/classification models in clinical/medical applications where the number of samples is usually small; it scales the data in a nonlinear fashion, which leads to potential improvement in accuracy. To evaluate the effectiveness of the proposed algorithm, we conducted experiments on 16 binary classification tasks with different variable types and cover a wide range of applications. The resultant performance in terms of area under the receiver operation characteristic curve (AUROC) and percentage of correct classification showed that models learned using data scaled by the GL algorithm outperform the ones using data scaled by the Min-max and the Z-score algorithm, which are the most commonly used data scaling algorithms. The proposed GL algorithm is simple and effective. It is robust to outliers, so no additional denoising or outlier detection step is needed in data preprocessing. Empirical results also show models learned from data scaled by the GL algorithm have higher accuracy compared to the commonly used data scaling algorithms.

Genetics Home Reference: asphyxiating thoracic dystrophy

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: tuberous sclerosis complex

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: progressive supranuclear palsy

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: GLUT1 deficiency syndrome

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: Miller-Dieker syndrome

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: sepiapterin reductase deficiency

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: task-specific focal dystonia

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: neurofibromatosis type 1

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: adolescent idiopathic scoliosis

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: corticosteroid-binding globulin deficiency

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: spinocerebellar ataxia type 3

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: Schwartz-Jampel syndrome

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Genetics Home Reference: congenital mirror movement disorder

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

Exploring the Relationship between Patron Type, Carnegie Classification, and Satisfaction with Library Services: An Analysis of LibQUAL+® Results

ERIC Educational Resources Information Center

Guder, Christopher S.

2012-01-01

The purpose of this study was to explore how faculty and students responded to the Information Control section of the LibQUAL+® survey at two libraries with different Carnegie Classifications. As one of the institutions being studied was considering a shift from a research institution to one more focused on teaching and learning, this study used…

An essay on reflection.

PubMed Central

McClure, L W

1998-01-01

From the vantage point of her personal experience, the author examines milestones since the 1960s which have changed the medical library profession and helped shape the Medical Library Association. The advent of automation, including cataloging with OCLC and online literature searching through the SUNY Biomedical Communication Network, was a dramatic event that transformed the work and priorities of librarians, fulfilling the dreams of earlier visionaries. The application of technology in libraries led to an increased demand for education and training for librarians. The Medical Library Association responded with continuing education programs, and a series of important reports influenced how the association filled its role in professional development. Legislation providing federal funding, such as the Medical Library Assistance Act, resulted in a period of expansion for libraries and their services. The Medical Library Association has developed a legislative agenda to influence action in areas such as copyright. In the future, health sciences librarians must take a leadership role. PMID:9578947

An essay on reflection.

PubMed

McClure, L W

1998-04-01

From the vantage point of her personal experience, the author examines milestones since the 1960s which have changed the medical library profession and helped shape the Medical Library Association. The advent of automation, including cataloging with OCLC and online literature searching through the SUNY Biomedical Communication Network, was a dramatic event that transformed the work and priorities of librarians, fulfilling the dreams of earlier visionaries. The application of technology in libraries led to an increased demand for education and training for librarians. The Medical Library Association responded with continuing education programs, and a series of important reports influenced how the association filled its role in professional development. Legislation providing federal funding, such as the Medical Library Assistance Act, resulted in a period of expansion for libraries and their services. The Medical Library Association has developed a legislative agenda to influence action in areas such as copyright. In the future, health sciences librarians must take a leadership role.

[Primary care resources available in digital libraries in Spanish Autonomous Regions].

PubMed

Juan-Quilis, Verónica

2013-03-01

The Statement by the Spanish Society of Family and Community Medicine (SemFYC) on access to scientific information, highlights the need for providing digital libraries with certain resources in Autonomous Regions. The primary goal is to study the evidence-based medicine (EBM) coverage that SemFYC recommends regional virtual libraries. The regional health virtual libraries were identified and the access provided to health professionals, Internet presence, remote access and resources were studied. The results suggest there is ample coverage in 8 Autonomous Regions. At the top of the list was, Health Sciences Virtual Library of Navarre, the Balearic Islands Health Sciences Virtual Library, and Virtual Library of the Andalusian Public Health System. The present study needs to be extended to the other biomedical sciences, in order to obtain more accurate results. Copyright © 2012 Elsevier España, S.L. All rights reserved.

Outreach: the western New York Hospital Library Services Program, 1985-1989.

PubMed Central

Birkinbine, L A; Bertuca, C A

1991-01-01

The Hospital Library Services Program (HLSP) in western New York, during the period covered by its first five-year plan, 1984-1989, is recounted and described. This ongoing program is funded annually by a New York State grant and hospital participation fees. It is designed to support access to biomedical information for health care professionals through a grant program for hospitals with staffed libraries and a circuit program for hospitals without library staffing or without libraries. Hospitals participating in the grant program contribute funds and receive grants for collection development. Hospitals participating in the circuit program pay a participation fee and receive regularly scheduled, documented, circuit librarian visits; a collection development grant; and a grant for contract library services. The program contracts with the State University of New York at Buffalo's (UB) Health Sciences Library to provide computerized literature searches; interlibrary loan (ILL) of journal articles, books, and audiovisuals; and ILL referrals. PMID:1958912

Categorizing biomedicine images using novel image features and sparse coding representation

PubMed Central

2013-01-01

Background Images embedded in biomedical publications carry rich information that often concisely summarize key hypotheses adopted, methods employed, or results obtained in a published study. Therefore, they offer valuable clues for understanding main content in a biomedical publication. Prior studies have pointed out the potential of mining images embedded in biomedical publications for automatically understanding and retrieving such images' associated source documents. Within the broad area of biomedical image processing, categorizing biomedical images is a fundamental step for building many advanced image analysis, retrieval, and mining applications. Similar to any automatic categorization effort, discriminative image features can provide the most crucial aid in the process. Method We observe that many images embedded in biomedical publications carry versatile annotation text. Based on the locations of and the spatial relationships between these text elements in an image, we thus propose some novel image features for image categorization purpose, which quantitatively characterize the spatial positions and distributions of text elements inside a biomedical image. We further adopt a sparse coding representation (SCR) based technique to categorize images embedded in biomedical publications by leveraging our newly proposed image features. Results we randomly selected 990 images of the JPG format for use in our experiments where 310 images were used as training samples and the rest were used as the testing cases. We first segmented 310 sample images following the our proposed procedure. This step produced a total of 1035 sub-images. We then manually labeled all these sub-images according to the two-level hierarchical image taxonomy proposed by [1]. Among our annotation results, 316 are microscopy images, 126 are gel electrophoresis images, 135 are line charts, 156 are bar charts, 52 are spot charts, 25 are tables, 70 are flow charts, and the remaining 155 images are of the type "others". A serial of experimental results are obtained. Firstly, each image categorizing results is presented, and next image categorizing performance indexes such as precision, recall, F-score, are all listed. Different features which include conventional image features and our proposed novel features indicate different categorizing performance, and the results are demonstrated. Thirdly, we conduct an accuracy comparison between support vector machine classification method and our proposed sparse representation classification method. At last, our proposed approach is compared with three peer classification method and experimental results verify our impressively improved performance. Conclusions Compared with conventional image features that do not exploit characteristics regarding text positions and distributions inside images embedded in biomedical publications, our proposed image features coupled with the SR based representation model exhibit superior performance for classifying biomedical images as demonstrated in our comparative benchmark study. PMID:24565470

Automatic multi-label annotation of abdominal CT images using CBIR

NASA Astrophysics Data System (ADS)

Xue, Zhiyun; Antani, Sameer; Long, L. Rodney; Thoma, George R.

2017-03-01

We present a technique to annotate multiple organs shown in 2-D abdominal/pelvic CT images using CBIR. This annotation task is motivated by our research interests in visual question-answering (VQA). We aim to apply results from this effort in Open-iSM, a multimodal biomedical search engine developed by the National Library of Medicine (NLM). Understanding visual content of biomedical images is a necessary step for VQA. Though sufficient annotational information about an image may be available in related textual metadata, not all may be useful as descriptive tags, particularly for anatomy on the image. In this paper, we develop and evaluate a multi-label image annotation method using CBIR. We evaluate our method on two 2-D CT image datasets we generated from 3-D volumetric data obtained from a multi-organ segmentation challenge hosted in MICCAI 2015. Shape and spatial layout information is used to encode visual characteristics of the anatomy. We adapt a weighted voting scheme to assign multiple labels to the query image by combining the labels of the images identified as similar by the method. Key parameters that may affect the annotation performance, such as the number of images used in the label voting and the threshold for excluding labels that have low weights, are studied. The method proposes a coarse-to-fine retrieval strategy which integrates the classification with the nearest-neighbor search. Results from our evaluation (using the MICCAI CT image datasets as well as figures from Open-i) are presented.

Library Bulletin [International Planned Parenthood Federation, February 1973].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Resources located in the International Planned Parenthood Federation (IPPF) Headquarters Library are inventoried in this quarterly library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration; (2) contraceptive methods; (3) family planning (general); (4) United…

Library Bulletin [International Planned Parenthood Federation, November 1972].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Resources located in the International Planned Parenthood Federation (IPPF) Headquarters Library are inventoried in this quarterly library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration; (2) contraceptive methods; (3) family planning (general); (4) United…

Library Bulletin [International Planned Parenthood Federation, February 1972].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Resources located in the International Planned Parenthood Federation (IPPF) Headquarters Library are inventoried in this library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration; (2) contraceptive methods; (3) family planning (general); (4) United Nations,…

Library Bulletin [International Planned Parenthood Federation, May 1973].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Resources located in the International Planned Parenthood Federation (IPPF) Headquarters Library are inventoried in this library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration; (2) contraceptive methods; (3) family planning (general); (4) United Nations,…

Sabbatical Report: Results of a Survey of Library Microforms Facilities.

ERIC Educational Resources Information Center

McIntosh, Melinda C.

1987-01-01

Highlights findings on the status of academic library microforms facilities in the United States and Canada based on visits to 11 libraries. Topics covered include administration, personnel, collection access and storage, classification, acquisition, circulation, indexes, hours, facilities, signage, equipment, photocopying, cleanliness, vandalism,…

Planetree health information services: public access to the health information people want.

PubMed Central

Cosgrove, T L

1994-01-01

In July 1981, the Planetree Health Resource Center opened on the San Francisco campus of California Pacific Medical Center (Pacific Presbyterian Medical Center). Planetree was founded on the belief that access to information can empower people and help them face health and medical challenges. The Health Resource Center was created to provide medical library and health information resources to the general public. Over the last twelve years, Planetree has tried to develop a consumer health library collection and information service that is responsive to the needs and interests of a diverse public. In an effort to increase accessibility to the medical literature, a consumer health library classification scheme was created for the organization of library materials. The scheme combines the specificity and sophistication of the National Library of Medicine classification scheme with the simplicity of common lay terminology. PMID:8136762

Correlating the Classes of Books Taken Out Of and Books Used Within an Open-Stack Library. Research Report.

ERIC Educational Resources Information Center

Domas, Ralph E.

The purpose of this study was to determine if a correlation existed between the classes of books checked out of the San Antonio College Library and the classes of books used in the Library. Data for out-of-library and in-library use were collected during February, 1978, and arranged by Dewey Decimal Classification (DDC) tens. By using the Pearson…

Multi-label literature classification based on the Gene Ontology graph.

PubMed

Jin, Bo; Muller, Brian; Zhai, Chengxiang; Lu, Xinghua

2008-12-08

The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of text mining approaches to facilitate the process by automatically extracting the Gene Ontology annotation from literature. The task is usually cast as a text classification problem, and contemporary methods are confronted with unbalanced training data and the difficulties associated with multi-label classification. In this research, we investigated the methods of enhancing automatic multi-label classification of biomedical literature by utilizing the structure of the Gene Ontology graph. We have studied three graph-based multi-label classification algorithms, including a novel stochastic algorithm and two top-down hierarchical classification methods for multi-label literature classification. We systematically evaluated and compared these graph-based classification algorithms to a conventional flat multi-label algorithm. The results indicate that, through utilizing the information from the structure of the Gene Ontology graph, the graph-based multi-label classification methods can significantly improve predictions of the Gene Ontology terms implied by the analyzed text. Furthermore, the graph-based multi-label classifiers are capable of suggesting Gene Ontology annotations (to curators) that are closely related to the true annotations even if they fail to predict the true ones directly. A software package implementing the studied algorithms is available for the research community. Through utilizing the information from the structure of the Gene Ontology graph, the graph-based multi-label classification methods have better potential than the conventional flat multi-label classification approach to facilitate protein annotation based on the literature.

Library Bulletin [International Planned Parenthood Federation, August 1973].

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

Recent additions to the International Planned Parenthood Federation (IPPF) Headquarters Library are listed in this library bulletin. Entries follow the IPPF classification scheme and are arranged by topics: (1) general office management and administration, (2) contraceptive methods, (3) family planning (general), (4) United Nations, conferences,…

Library and Information Skills Workbook.

ERIC Educational Resources Information Center

Vastine, Jim

This workbook for a library and information skills course at the University of South Florida (USF), Tampa campus, contains the following sections: (1) syllabus; (2) tentative course outline; (3) statement of the course goal, general objectives, and objectives related to LC (Library of Congress) classification and the online catalog, dictionaries…

Genetics Home Reference: iron-refractory iron deficiency anemia

MedlinePlus

... Accessibility FOIA Viewers & Players U.S. Department of Health & Human Services National Institutes of Health National Library of Medicine Lister Hill National Center for Biomedical Communications 8600 Rockville Pike, Bethesda, MD 20894, USA HONCode ...

A New Pivoting and Iterative Text Detection Algorithm for Biomedical Images

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xu, Songhua; Krauthammer, Prof. Michael

2010-01-01

There is interest to expand the reach of literature mining to include the analysis of biomedical images, which often contain a paper's key findings. Examples include recent studies that use Optical Character Recognition (OCR) to extract image text, which is used to boost biomedical image retrieval and classification. Such studies rely on the robust identification of text elements in biomedical images, which is a non-trivial task. In this work, we introduce a new text detection algorithm for biomedical images based on iterative projection histograms. We study the effectiveness of our algorithm by evaluating the performance on a set of manuallymore » labeled random biomedical images, and compare the performance against other state-of-the-art text detection algorithms. We demonstrate that our projection histogram-based text detection approach is well suited for text detection in biomedical images, and that the iterative application of the algorithm boosts performance to an F score of .60. We provide a C++ implementation of our algorithm freely available for academic use.« less

Collection development at the NOAA Central Library

NASA Technical Reports Server (NTRS)

Quillen, Steve R.

1994-01-01

The National Oceanic and Atmospheric Administration (NOAA) Central Library collection, approximately one million volumes, incorporates the holdings of its predecessor agencies. Within the library, the collections are filed separately, based on their source and/or classification schemes. The NOAA Central Library provides a variety of services to users, ranging from quick reference and interlibrary loan to in-depth research and online data bases.

Investigations of Antiangiogenic Mechanisms Using Novel Imaging Techniques

DTIC Science & Technology

2011-02-01

011112-1 Downloaded from SPIE Digital Library on 22 Feb 2010 to 1lular functions that exacerbate treatment resistance and tumor aggressiveness.9 Cycling...measurements, which further complicates ata acquisition and interpretation. Blood flow on the mi- rovessel level has traditionally been measured using laser...34ournal of Biomedical Optics 011112-2 Downloaded from SPIE Digital Library on 22 Feb 2010 to 1The goal of this study was to dynamically image changes in

The Connectivity Map: a new tool for biomedical research.

PubMed

Lamb, Justin

2007-01-01

The ultimate objective of biomedical research is to connect human diseases with the genes that underlie them and drugs that treat them. But this remains a daunting task, and even the most inspired researchers still have to resort to laborious screens of genetic or chemical libraries. What if at least some parts of this screening process could be systematized and centralized? And hits found and hypotheses generated with something resembling an internet search engine? These are the questions the Connectivity Map project set out to answer.

Abstracting data warehousing issues in scientific research.

PubMed

Tews, Cody; Bracio, Boris R

2002-01-01

This paper presents the design and implementation of the Idaho Biomedical Data Management System (IBDMS). This system preprocesses biomedical data from the IMPROVE (Improving Control of Patient Status in Critical Care) library via an Open Database Connectivity (ODBC) connection. The ODBC connection allows for local and remote simulations to access filtered, joined, and sorted data using the Structured Query Language (SQL). The tool is capable of providing an overview of available data in addition to user defined data subset for verification of models of the human respiratory system.

Hyperspectral imaging of polymer banknotes for building and analysis of spectral library

NASA Astrophysics Data System (ADS)

Lim, Hoong-Ta; Murukeshan, Vadakke Matham

2017-11-01

The use of counterfeit banknotes increases crime rates and cripples the economy. New countermeasures are required to stop counterfeiters who use advancing technologies with criminal intent. Many countries started adopting polymer banknotes to replace paper notes, as polymer notes are more durable and have better quality. The research on authenticating such banknotes is of much interest to the forensic investigators. Hyperspectral imaging can be employed to build a spectral library of polymer notes, which can then be used for classification to authenticate these notes. This is however not widely reported and has become a research interest in forensic identification. This paper focuses on the use of hyperspectral imaging on polymer notes to build spectral libraries, using a pushbroom hyperspectral imager which has been previously reported. As an initial study, a spectral library will be built from three arbitrarily chosen regions of interest of five circulated genuine polymer notes. Principal component analysis is used for dimension reduction and to convert the information in the spectral library to principal components. A 99% confidence ellipse is formed around the cluster of principal component scores of each class and then used as classification criteria. The potential of the adopted methodology is demonstrated by the classification of the imaged regions as training samples.

Biomedical journals and databases in Russia and Russian language in the former Soviet Union and beyond

PubMed Central

Vlassov, Vasiliy V; Danishevskiy, Kirill D

2008-01-01

In the 20th century, Russian biomedical science experienced a decline from the blossom of the early years to a drastic state. Through the first decades of the USSR, it was transformed to suit the ideological requirements of a totalitarian state and biased directives of communist leaders. Later, depressing economic conditions and isolation from the international research community further impeded its development. Contemporary Russia has inherited a system of medical education quite different from the west as well as counterproductive regulations for the allocation of research funding. The methodology of medical and epidemiological research in Russia is largely outdated. Epidemiology continues to focus on infectious disease and results of the best studies tend to be published in international periodicals. MEDLINE continues to be the best database to search for Russian biomedical publications, despite only a small proportion being indexed. The database of the Moscow Central Medical Library is the largest national database of medical periodicals, but does not provide abstracts and full subject heading codes, and it does not cover even the entire collection of the Library. New databases and catalogs (e.g. Panteleimon) that have appeared recently are incomplete and do not enable effective searching. PMID:18826569

Biomedical journals and databases in Russia and Russian language in the former Soviet Union and beyond.

PubMed

Vlassov, Vasiliy V; Danishevskiy, Kirill D

2008-09-30

In the 20th century, Russian biomedical science experienced a decline from the blossom of the early years to a drastic state. Through the first decades of the USSR, it was transformed to suit the ideological requirements of a totalitarian state and biased directives of communist leaders. Later, depressing economic conditions and isolation from the international research community further impeded its development. Contemporary Russia has inherited a system of medical education quite different from the west as well as counterproductive regulations for the allocation of research funding. The methodology of medical and epidemiological research in Russia is largely outdated. Epidemiology continues to focus on infectious disease and results of the best studies tend to be published in international periodicals. MEDLINE continues to be the best database to search for Russian biomedical publications, despite only a small proportion being indexed. The database of the Moscow Central Medical Library is the largest national database of medical periodicals, but does not provide abstracts and full subject heading codes, and it does not cover even the entire collection of the Library. New databases and catalogs (e.g. Panteleimon) that have appeared recently are incomplete and do not enable effective searching.

A Framework for Concept-Based Digital Course Libraries

ERIC Educational Resources Information Center

Dicheva, Darina; Dichev, Christo

2004-01-01

This article presents a general framework for building conceptbased digital course libraries. The framework is based on the idea of using a conceptual structure that represents a subject domain ontology for classification of the course library content. Two aspects, domain conceptualization, which supports findability and ontologies, which support…

Treatment of Holocaust Denial Literature in Association of Research Libraries

ERIC Educational Resources Information Center

Spidal, Debra F.

2012-01-01

Holocaust denial literature has been treated inconsistently in library collections. At one time Holocaust denial literature was classed and subject headings assigned with Holocaust literature. After specific Library of Congress classification numbers and subject headings for Holocaust denial and Holocaust denial literature became available in the…

Procedures of Operation at Cranbrook Central Library.

ERIC Educational Resources Information Center

Cranbrook Institutions, Bloomfield Hills, MI. Central Library.

This manual outlines the ordering, cataloging and classification, and processing procedures for books, periodicals, government documents, and non-book materials for a central library serving three schools--a co-ed elementary school and separate junior-senior high schools for boys and girls--and four special libraries--a fine and rare books…

Untangling the Tangled Webs We Weave: A Team Approach to Cyberspace.

ERIC Educational Resources Information Center

Broidy, Ellen; And Others

Working in a cooperative team environment across libraries and job classifications, librarians and support staff at the University of California at Irvine (UCI) have mounted several successful web projects, including two versions of the Libraries' home page, a virtual reference collection, and Science Library "ANTswer Machine." UCI's…

Bibliographies.

ERIC Educational Resources Information Center

Bourdon, Cathleen

2001-01-01

This selective bibliography of books for librarians includes titles regarding academic libraries; administration and personnel; bibliographic instruction; cataloging and classification; children's and young adult services; collection development; copyright; customer service; distance education; electronic libraries; fund raising; government…

Evaluation of research in biomedical ontologies

PubMed Central

Dumontier, Michel; Gkoutos, Georgios V.

2013-01-01

Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and methods from diverse disciplines such as information management, knowledge representation, cognitive science, linguistics and philosophy. Depending on the desired applications in which ontologies are being applied, the evaluation of research in biomedical ontologies must follow different strategies. Here, we provide a classification of research problems in which ontologies are being applied, focusing on the use of ontologies in basic and translational research, and we demonstrate how research results in biomedical ontologies can be evaluated. The evaluation strategies depend on the desired application and measure the success of using an ontology for a particular biomedical problem. For many applications, the success can be quantified, thereby facilitating the objective evaluation and comparison of research in biomedical ontology. The objective, quantifiable comparison of research results based on scientific applications opens up the possibility for systematically improving the utility of ontologies in biomedical research. PMID:22962340

GRATEFUL MED

EPA Science Inventory

Since the early 1970s, the National Library of Medicine (NLM) has made searching the biomedical literature faster and easier by providing online information on NLMs family of databases -- (currently 40 online databases). MEDLINE?, NLMs premier database, has over 8.5 million citat...

The development of the Medical Literature Analysis and Retrieval System (MEDLARS)*

PubMed Central

Dee, Cheryl Rae

2007-01-01

Objective: The research provides a chronology of the US National Library of Medicine's (NLM's) contribution to access to the world's biomedical literature through its computerization of biomedical indexes, particularly the Medical Literature Analysis and Retrieval System (MEDLARS). Method: Using material gathered from NLM's archives and from personal interviews with people associated with developing MEDLARS and its associated systems, the author discusses key events in the history of MEDLARS. Discussion: From the development of the early mechanized bibliographic retrieval systems of the 1940s and to the beginnings of online, interactive computerized bibliographic search systems of the early 1970s chronicled here, NLM's contributions to automation and bibliographic retrieval have been extensive. Conclusion: As NLM's technological experience and expertise grew, innovative bibliographic storage and retrieval systems emerged. NLM's accomplishments regarding MEDLARS were cutting edge, placing the library at the forefront of incorporating mechanization and technologies into medical information systems. PMID:17971889

Grounded Classification: Grounded Theory and Faceted Classification.

ERIC Educational Resources Information Center

Star, Susan Leigh

1998-01-01

Compares the qualitative method of grounded theory (GT) with Ranganathan's construction of faceted classifications (FC) in library and information science. Both struggle with a core problem--the representation of vernacular words and processes, empirically discovered, which will, although ethnographically faithful, be powerful beyond the single…

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery.

PubMed

Belgiu, Mariana; Dr Guţ, Lucian; Strobl, Josef

2014-01-01

The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libraries which would guide the image analysis procedure. In this study we aimed at evaluating the variability of digital classifications carried out by three experts who were all assigned the same interpretation task. Besides the three classifications performed by independent operators, we developed an additional rule-based classification that relied on the image classifications best practices found in the literature, and used it as a surrogate for libraries of object characteristics. The results showed statistically significant differences among all operators who classified the same reference imagery. The classifications carried out by the experts achieved satisfactory results when transferred to another area for extracting the same classes of interest, without modification of the developed rules.

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

PubMed Central

Belgiu, Mariana; Drǎguţ, Lucian; Strobl, Josef

2014-01-01

The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libraries which would guide the image analysis procedure. In this study we aimed at evaluating the variability of digital classifications carried out by three experts who were all assigned the same interpretation task. Besides the three classifications performed by independent operators, we developed an additional rule-based classification that relied on the image classifications best practices found in the literature, and used it as a surrogate for libraries of object characteristics. The results showed statistically significant differences among all operators who classified the same reference imagery. The classifications carried out by the experts achieved satisfactory results when transferred to another area for extracting the same classes of interest, without modification of the developed rules. PMID:24623959

Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery

NASA Astrophysics Data System (ADS)

Belgiu, Mariana; ǎguţ, Lucian, , Dr; Strobl, Josef

2014-01-01

The increasing availability of high resolution imagery has triggered the need for automated image analysis techniques, with reduced human intervention and reproducible analysis procedures. The knowledge gained in the past might be of use to achieving this goal, if systematically organized into libraries which would guide the image analysis procedure. In this study we aimed at evaluating the variability of digital classifications carried out by three experts who were all assigned the same interpretation task. Besides the three classifications performed by independent operators, we developed an additional rule-based classification that relied on the image classifications best practices found in the literature, and used it as a surrogate for libraries of object characteristics. The results showed statistically significant differences among all operators who classified the same reference imagery. The classifications carried out by the experts achieved satisfactory results when transferred to another area for extracting the same classes of interest, without modification of the developed rules.

Bibliographies.

ERIC Educational Resources Information Center

Bourdon, Cathleen

1998-01-01

Librarian's bookshelf lists books from 1990--covering academic/electronic/public/school/special libraries, administration/personnel, automation, bibliographic instruction, cataloging/classification, CD-ROM, YA services, collection development, copyright, customer service, education for librarianship, electronic libraries, facilities, fund raising,…

Sleep versus wake classification from heart rate variability using computational intelligence: consideration of rejection in classification models.

PubMed

Lewicke, Aaron; Sazonov, Edward; Corwin, Michael J; Neuman, Michael; Schuckers, Stephanie

2008-01-01

Reliability of classification performance is important for many biomedical applications. A classification model which considers reliability in the development of the model such that unreliable segments are rejected would be useful, particularly, in large biomedical data sets. This approach is demonstrated in the development of a technique to reliably determine sleep and wake using only the electrocardiogram (ECG) of infants. Typically, sleep state scoring is a time consuming task in which sleep states are manually derived from many physiological signals. The method was tested with simultaneous 8-h ECG and polysomnogram (PSG) determined sleep scores from 190 infants enrolled in the collaborative home infant monitoring evaluation (CHIME) study. Learning vector quantization (LVQ) neural network, multilayer perceptron (MLP) neural network, and support vector machines (SVMs) are tested as the classifiers. After systematic rejection of difficult to classify segments, the models can achieve 85%-87% correct classification while rejecting only 30% of the data. This corresponds to a Kappa statistic of 0.65-0.68. With rejection, accuracy improves by about 8% over a model without rejection. Additionally, the impact of the PSG scored indeterminate state epochs is analyzed. The advantages of a reliable sleep/wake classifier based only on ECG include high accuracy, simplicity of use, and low intrusiveness. Reliability of the classification can be built directly in the model, such that unreliable segments are rejected.

Rising Expectations: Access to Biomedical Information

PubMed Central

Lindberg, D. A. B.; Humphreys, B. L.

2008-01-01

Summary Objective To provide an overview of the expansion in public access to electronic biomedical information over the past two decades, with an emphasis on developments to which the U.S. National Library of Medicine contributed. Methods Review of the increasingly broad spectrum of web-accessible genomic data, biomedical literature, consumer health information, clinical trials data, and images. Results The amount of publicly available electronic biomedical information has increased dramatically over the past twenty years. Rising expectations regarding access to biomedical information were stimulated by the spread of the Internet, the World Wide Web, advanced searching and linking techniques. These informatics advances simplified and improved access to electronic information and reduced costs, which enabled inter-organizational collaborations to build and maintain large international information resources and also aided outreach and education efforts The demonstrated benefits of free access to electronic biomedical information encouraged the development of public policies that further increase the amount of information available. Conclusions Continuing rapid growth of publicly accessible electronic biomedical information presents tremendous opportunities and challenges, including the need to ensure uninterrupted access during disasters or emergencies and to manage digital resources so they remain available for future generations. PMID:18587496

Similarity-dissimilarity plot for visualization of high dimensional data in biomedical pattern classification.

PubMed

Arif, Muhammad

2012-06-01

In pattern classification problems, feature extraction is an important step. Quality of features in discriminating different classes plays an important role in pattern classification problems. In real life, pattern classification may require high dimensional feature space and it is impossible to visualize the feature space if the dimension of feature space is greater than four. In this paper, we have proposed a Similarity-Dissimilarity plot which can project high dimensional space to a two dimensional space while retaining important characteristics required to assess the discrimination quality of the features. Similarity-dissimilarity plot can reveal information about the amount of overlap of features of different classes. Separable data points of different classes will also be visible on the plot which can be classified correctly using appropriate classifier. Hence, approximate classification accuracy can be predicted. Moreover, it is possible to know about whom class the misclassified data points will be confused by the classifier. Outlier data points can also be located on the similarity-dissimilarity plot. Various examples of synthetic data are used to highlight important characteristics of the proposed plot. Some real life examples from biomedical data are also used for the analysis. The proposed plot is independent of number of dimensions of the feature space.

DNA-Encoded Chemical Libraries: A Selection System Based on Endowing Organic Compounds with Amplifiable Information.

PubMed

Neri, Dario; Lerner, Richard A

2018-06-20

The discovery of organic ligands that bind specifically to proteins is a central problem in chemistry, biology, and the biomedical sciences. The encoding of individual organic molecules with distinctive DNA tags, serving as amplifiable identification bar codes, allows the construction and screening of combinatorial libraries of unprecedented size, thus facilitating the discovery of ligands to many different protein targets. Fundamentally, one links powers of genetics and chemical synthesis. After the initial description of DNA-encoded chemical libraries in 1992, several experimental embodiments of the technology have been reduced to practice. This review provides a historical account of important milestones in the development of DNA-encoded chemical libraries, a survey of relevant ongoing research activities, and a glimpse into the future.

Medical serials control systems by computer--a state of the art review.

PubMed

Brodman, E; Johnson, M F

1976-01-01

A review of the problems encountered in serials control systems is followed by a description of some of the present-day attempts to solve these problems. Specific networks are described, notably PHILSOM (developed at Washington University School of Medicine Library), the UCLA Biomedical Library's system, and OCLC in Columbus, Ohio. Finally, the role of minicomputers in present and future developments is discussed, and some cautious guesses are made on future directions in the field.

Dewey Decimal Classification: A Quagmire.

ERIC Educational Resources Information Center

Gamaluddin, Ahmad Fouad

1980-01-01

A survey of 660 Pennsylvania school librarians indicates that, though there is limited professional interest in the Library of Congress Classification system, Dewey Decimal Classification (DDC) appears to be firmly entrenched. This article also discusses the relative merits of DDC, the need for a uniform system, librarianship preparation, and…

IFLA General Conference, 1987. Division of Bibliographic Control. Cataloguing, Classification and Indexing Section. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations, The Hague (Netherlands).

The papers in this compilation focus on cataloging, classification, and indexing: (1) "Bibliographic Relationships in Library Catalogs" (Barbara B. Tillett, United States); (2) "Bibliographic Description: Past, Present, and Future" (Michael Gorman, United States); (3) "The Dewey Decimal Classification Enters the Computer…

Electroencephalography epilepsy classifications using hybrid cuckoo search and neural network

NASA Astrophysics Data System (ADS)

Pratiwi, A. B.; Damayanti, A.; Miswanto

2017-07-01

Epilepsy is a condition that affects the brain and causes repeated seizures. This seizure is episodes that can vary and nearly undetectable to long periods of vigorous shaking or brain contractions. Epilepsy often can be confirmed with an electrocephalography (EEG). Neural Networks has been used in biomedic signal analysis, it has successfully classified the biomedic signal, such as EEG signal. In this paper, a hybrid cuckoo search and neural network are used to recognize EEG signal for epilepsy classifications. The weight of the multilayer perceptron is optimized by the cuckoo search algorithm based on its error. The aim of this methods is making the network faster to obtained the local or global optimal then the process of classification become more accurate. Based on the comparison results with the traditional multilayer perceptron, the hybrid cuckoo search and multilayer perceptron provides better performance in term of error convergence and accuracy. The purpose methods give MSE 0.001 and accuracy 90.0 %.

Rating the Accessibility of Library Tutorials from Leading Research Universities

ERIC Educational Resources Information Center

Clossen, Amanda; Proces, Paul

2017-01-01

Video and Web-based tutorials created by libraries from 71 public universities designated by the Carnegie Classification as having the Highest Research Activity (R1) were reviewed for accessibility and usability by disabled people. The results of this review indicate that a large portion of library tutorial content meets neither the minimum legal…

Graphic Novels in Academic Libraries: From "Maus" to Manga and beyond

ERIC Educational Resources Information Center

O'English, Lorena; Matthews, J. Gregory; Lindsay, Elizabeth Blakesley

2006-01-01

This article addresses graphic novels and their growing popularity in academic libraries. Graphic novels are increasingly used as instructional resources, and they play an important role in supporting the recreational reading mission of academic libraries. The article will also tackle issues related to the cataloging and classification of graphic…

On the construction of a new stellar classification template library for the LAMOST spectral analysis pipeline

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wei, Peng; Luo, Ali; Li, Yinbi

2014-05-01

The LAMOST spectral analysis pipeline, called the 1D pipeline, aims to classify and measure the spectra observed in the LAMOST survey. Through this pipeline, the observed stellar spectra are classified into different subclasses by matching with template spectra. Consequently, the performance of the stellar classification greatly depends on the quality of the template spectra. In this paper, we construct a new LAMOST stellar spectral classification template library, which is supposed to improve the precision and credibility of the present LAMOST stellar classification. About one million spectra are selected from LAMOST Data Release One to construct the new stellar templates, andmore » they are gathered in 233 groups by two criteria: (1) pseudo g – r colors obtained by convolving the LAMOST spectra with the Sloan Digital Sky Survey ugriz filter response curve, and (2) the stellar subclass given by the LAMOST pipeline. In each group, the template spectra are constructed using three steps. (1) Outliers are excluded using the Local Outlier Probabilities algorithm, and then the principal component analysis method is applied to the remaining spectra of each group. About 5% of the one million spectra are ruled out as outliers. (2) All remaining spectra are reconstructed using the first principal components of each group. (3) The weighted average spectrum is used as the template spectrum in each group. Using the previous 3 steps, we initially obtain 216 stellar template spectra. We visually inspect all template spectra, and 29 spectra are abandoned due to low spectral quality. Furthermore, the MK classification for the remaining 187 template spectra is manually determined by comparing with 3 template libraries. Meanwhile, 10 template spectra whose subclass is difficult to determine are abandoned. Finally, we obtain a new template library containing 183 LAMOST template spectra with 61 different MK classes by combining it with the current library.« less

From conception to birth: ancient library sources of embryology and women anatomy kept in the Biblioteca Biomedica of the Università degli Studi di Firenze (Biomedical Library of Florence University).

PubMed

Vannucci, Laura; Frigenti, Lucia; Faussone-Pellegrini, Maria-Simonetta

2011-01-01

The Biomedical Library of the University of Florence boasts a prestigious group of books collected at first in 1679 at the hospital "Santa Maria Nuova" and then continuously enriched in the course of time up today. The "Antique Collection" consists of 13 incunabola, hundreds of 16th-century books, more than one thousand books on medical subject from the 1600's, about six thousand 18th-century volumes and several large, valuable anatomical atlases. In this paper the most important, curious and fascinating books dealing with human ontogeny (from embryo generation to birth) and with female anatomy (mostly concerning pregnancy and childbirth) are reported in chronological order starting from the work of Hippocrates. Among the ancient sources useful for the reconstruction of the opinions about obstetrics there are also outstanding handbooks specifically edited for midwives. Many of these antique books are especially precious because they embed a great number of didactic pictures, some of which may compete against any modern book of anatomy, embryology and obstetric. Selected images from these books are shown.

Discovering Beaten Paths in Collaborative Ontology-Engineering Projects using Markov Chains

PubMed Central

Walk, Simon; Singer, Philipp; Strohmaier, Markus; Tudorache, Tania; Musen, Mark A.; Noy, Natalya F.

2014-01-01

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50, 000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology-engineering projects and tools in the biomedical domain. PMID:24953242

Discovering beaten paths in collaborative ontology-engineering projects using Markov chains.

PubMed

Walk, Simon; Singer, Philipp; Strohmaier, Markus; Tudorache, Tania; Musen, Mark A; Noy, Natalya F

2014-10-01

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50,000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology-engineering projects and tools in the biomedical domain. Copyright © 2014 Elsevier Inc. All rights reserved.

An Investigation of the Education Needs of Health Sciences Library Manpower: Part V: Manpower for Hospital Libraries *

PubMed Central

Kronick, David A.; Rees, Alan M.; Rothenberg, Lesliebeth

1971-01-01

The extent of library service and the character of the library staff of hospitals in the United States are reported from the results of a survey conducted by the American Hospital Association in 1968. These data supplement the data reported on the nonhospital institutional population to make up a composite picture of health sciences library manpower today. Only 2,918 hospitals (48.5 percent) out of a total of 6,018 surveyed reported the existence of a library of any kind, though some of the hospitals reported multiple libraries. For all of these libraries only 2,872 individuals were reported under the rubric for “librarians,” and of these only 726 were reported as having the master's degree or better. Of the total staff almost half are non-salaried (volunteer or contributory) and almost half of the salaried staff are half time. It is obvious, therefore, that hospital libraries must be substantially strengthened if they are to fulfill their important function in the biomedical information network. PMID:5146763

The new Health Sciences Library at the State University of New York at Buffalo.

PubMed Central

Fabrizio, N; Huang, C K

1988-01-01

The new Health Sciences Library at the State University of New York at Buffalo is a harmonious and functional blend of the old and the new. The old is a renovated Georgian style building with formal rooms containing fireplaces, carved woodwork and English oak paneling. The new is a contemporary four-story addition. Through the arrangement of space and the interior design, the new library offers users easy access to services and resources; accommodates the heavy daily flow of users and library materials; provides an environment of comfort, quiet, and safety; and promotes efficient communication among all segments of the library staff. This was accomplished through sound architectural design which included close consultation with the library director and staff during the planning process. The new library is equipped to face the challenge of meeting the needs of biomedical education, research, and clinical programs of the institution and its constituents in the years to come. Images PMID:3370382

Bibliographies: The Librarian's Bookshelf.

ERIC Educational Resources Information Center

Bourdon, Cathleen

2003-01-01

This selective bibliography is organized by subject headings that include administration and personnel; bibliographic instruction/information literacy; cataloging and classification; children's and young adults; collection development; copyright; customer service; distance education; electronic libraries; evaluation of library services; fund…

Automated reuseable components system study results

NASA Technical Reports Server (NTRS)

Gilroy, Kathy

1989-01-01

The Automated Reusable Components System (ARCS) was developed under a Phase 1 Small Business Innovative Research (SBIR) contract for the U.S. Army CECOM. The objectives of the ARCS program were: (1) to investigate issues associated with automated reuse of software components, identify alternative approaches, and select promising technologies, and (2) to develop tools that support component classification and retrieval. The approach followed was to research emerging techniques and experimental applications associated with reusable software libraries, to investigate the more mature information retrieval technologies for applicability, and to investigate the applicability of specialized technologies to improve the effectiveness of a reusable component library. Various classification schemes and retrieval techniques were identified and evaluated for potential application in an automated library system for reusable components. Strategies for library organization and management, component submittal and storage, and component search and retrieval were developed. A prototype ARCS was built to demonstrate the feasibility of automating the reuse process. The prototype was created using a subset of the classification and retrieval techniques that were investigated. The demonstration system was exercised and evaluated using reusable Ada components selected from the public domain. A requirements specification for a production-quality ARCS was also developed.

A recent advance in the automatic indexing of the biomedical literature.

PubMed

Névéol, Aurélie; Shooshan, Sonya E; Humphrey, Susanne M; Mork, James G; Aronson, Alan R

2009-10-01

The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE, the largest bibliographic database of biomedical citations. Indexers at the US National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM's Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice.

Development and tuning of an original search engine for patent libraries in medicinal chemistry.

PubMed

Pasche, Emilie; Gobeill, Julien; Kreim, Olivier; Oezdemir-Zaech, Fatma; Vachon, Therese; Lovis, Christian; Ruch, Patrick

2014-01-01

The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which intensively uses patent libraries for competitive intelligence and drug development. We describe here the development of an advanced retrieval engine to search information in patent collections in the field of medicinal chemistry. We investigate and combine different strategies and evaluate their respective impact on the performance of the search engine applied to various search tasks, which covers the putatively most frequent search behaviours of intellectual property officers in medical chemistry: 1) a prior art search task; 2) a technical survey task; and 3) a variant of the technical survey task, sometimes called known-item search task, where a single patent is targeted. The optimal tuning of our engine resulted in a top-precision of 6.76% for the prior art search task, 23.28% for the technical survey task and 46.02% for the variant of the technical survey task. We observed that co-citation boosting was an appropriate strategy to improve prior art search tasks, while IPC classification of queries was improving retrieval effectiveness for technical survey tasks. Surprisingly, the use of the full body of the patent was always detrimental for search effectiveness. It was also observed that normalizing biomedical entities using curated dictionaries had simply no impact on the search tasks we evaluate. The search engine was finally implemented as a web-application within Novartis Pharma. The application is briefly described in the report. We have presented the development of a search engine dedicated to patent search, based on state of the art methods applied to patent corpora. We have shown that a proper tuning of the system to adapt to the various search tasks clearly increases the effectiveness of the system. We conclude that different search tasks demand different information retrieval engines' settings in order to yield optimal end-user retrieval.

Development and tuning of an original search engine for patent libraries in medicinal chemistry

PubMed Central

2014-01-01

Background The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which intensively uses patent libraries for competitive intelligence and drug development. Methods We describe here the development of an advanced retrieval engine to search information in patent collections in the field of medicinal chemistry. We investigate and combine different strategies and evaluate their respective impact on the performance of the search engine applied to various search tasks, which covers the putatively most frequent search behaviours of intellectual property officers in medical chemistry: 1) a prior art search task; 2) a technical survey task; and 3) a variant of the technical survey task, sometimes called known-item search task, where a single patent is targeted. Results The optimal tuning of our engine resulted in a top-precision of 6.76% for the prior art search task, 23.28% for the technical survey task and 46.02% for the variant of the technical survey task. We observed that co-citation boosting was an appropriate strategy to improve prior art search tasks, while IPC classification of queries was improving retrieval effectiveness for technical survey tasks. Surprisingly, the use of the full body of the patent was always detrimental for search effectiveness. It was also observed that normalizing biomedical entities using curated dictionaries had simply no impact on the search tasks we evaluate. The search engine was finally implemented as a web-application within Novartis Pharma. The application is briefly described in the report. Conclusions We have presented the development of a search engine dedicated to patent search, based on state of the art methods applied to patent corpora. We have shown that a proper tuning of the system to adapt to the various search tasks clearly increases the effectiveness of the system. We conclude that different search tasks demand different information retrieval engines' settings in order to yield optimal end-user retrieval. PMID:24564220

A new pivoting and iterative text detection algorithm for biomedical images.

PubMed

Xu, Songhua; Krauthammer, Michael

2010-12-01

There is interest to expand the reach of literature mining to include the analysis of biomedical images, which often contain a paper's key findings. Examples include recent studies that use Optical Character Recognition (OCR) to extract image text, which is used to boost biomedical image retrieval and classification. Such studies rely on the robust identification of text elements in biomedical images, which is a non-trivial task. In this work, we introduce a new text detection algorithm for biomedical images based on iterative projection histograms. We study the effectiveness of our algorithm by evaluating the performance on a set of manually labeled random biomedical images, and compare the performance against other state-of-the-art text detection algorithms. We demonstrate that our projection histogram-based text detection approach is well suited for text detection in biomedical images, and that the iterative application of the algorithm boosts performance to an F score of .60. We provide a C++ implementation of our algorithm freely available for academic use. Copyright © 2010 Elsevier Inc. All rights reserved.

Medical serials control systems by computer--a state of the art review.

PubMed Central

Brodman, E; Johnson, M F

1976-01-01

A review of the problems encountered in serials control systems is followed by a description of some of the present-day attempts to solve these problems. Specific networks are described, notably PHILSOM (developed at Washington University School of Medicine Library), the UCLA Biomedical Library's system, and OCLC in Columbus, Ohio. Finally, the role of minicomputers in present and future developments is discussed, and some cautious guesses are made on future directions in the field. PMID:1247704

Getting on the fast track, or how to get an MLIS through distance education, with a specialization in medical librarianship.

PubMed

Detlefsen, Ellen G

2004-01-01

The article describes an innovation in MLIS education for medical librarianship, with an introduction to the FastTrack, the distance education program at the University of Pittsburgh's library and information science school, together with an overview of a model program linking the biomedical library at Vanderbilt University with the School of Information Sciences in Pittsburgh. Admissions requirements and specific curriculum for the distance education master's degree are detailed in an FAQ format.

A Methodology for Estimating the Size of Subject Collections, Using African Studies as an Example.

ERIC Educational Resources Information Center

Lauer, Joseph J.

1983-01-01

Provides formula for estimating number of Africana titles in large libraries using Library of Congress classification schedule. To determine percentage of Africana falling in DT section, distribution of titles in two academic libraries with separate shelflists is analyzed. Core categories of Africana and distribution of northern African titles are…

Issues and Challenges in Cataloguing Arabic Books in Malaysia Academic Libraries

ERIC Educational Resources Information Center

Ismail, Mohd Ikhwan; Roni, Nurul Azurah Md.

2011-01-01

Education in Library and Information Science is a requirement to become a librarian. There are a lot of syllabi and subjects to concentrate on such as cataloguing and classification, information retrieval, knowledge management, and reference. The library as a centre of information has been developing year by year with various types of collections…

Automated labeling of bibliographic data extracted from biomedical online journals

NASA Astrophysics Data System (ADS)

Kim, Jongwoo; Le, Daniel X.; Thoma, George R.

2003-01-01

A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, abstract, affiliation and others) from online biomedical journals to populate the National Library of Medicine"s MEDLINE database. This paper describes a key module in this system: the labeling module that employs statistics and fuzzy rule-based algorithms to identify segmented zones in an article"s HTML pages as specific bibliographic data. Results from experiments conducted with 1,149 medical articles from forty-seven journal issues are presented.

The Profiles in Science Digital Library: Behind the Scenes.

PubMed

Gallagher, Marie E; Moffatt, Christie

2012-01-01

This demonstration shows the Profiles in Science ® digital library. Profiles in Science contains digitized selections from the personal manuscript collections of prominent biomedical researchers, medical practitioners, and those fostering science and health. The Profiles in Science Web site is the delivery mechanism for content derived from the digital library system. The system is designed according to our basic principles for digital library development [1]. The digital library includes the rules and software used for digitizing items, creating and editing database records and performing quality control as well as serving the digital content to the public. Among the types of data managed by the digital library are detailed item-level, collection-level and cross-collection metadata, digitized photographs, papers, audio clips, movies, born-digital electronic files, optical character recognized (OCR) text, and annotations (see Figure 1). The digital library also tracks the status of each item, including digitization quality, sensitivity of content, and copyright. Only items satisfying all required criteria are released to the public through the World Wide Web. External factors have influenced all aspects of the digital library's infrastructure.

Biomedical periodicals in Nigerian Medical Libraries: the medical librarian's dilemma.

PubMed Central

Okwuowulu, A O

1976-01-01

The Nigerian medical librarian has an uphill task in his effort to satisfy the journal needs of users of his library. His problems stem from difficulties in the selection and acquisition of journals, delay in postal services, budgetary and other administrative controls, and the changing nature of medical education and health-care services in Nigeria. The librarian's attempts to solve these problems include increased subscriptions to journals and use of interlibrary loans, but the absence of union lists of holdings of other libraries, the heavy cost of photocopying services, and poor postal facilities present another dimension to his problems. Eventually his best solution seems to lie in the establishment of a national center for "least used" journals to serve as a source stock for the country's medical libraries. PMID:938777

Closer Look at Cancer Imaging Tools

MedlinePlus

... download on the Apple Store and Google Play. SOURCE: National Institute of Biomedical Imaging and Bioengineering: Medical Scans Spring 2018 Issue: Volume 13 Number 1 Page 11 MedlinePlus Subscribe Magazine Information Contact Us Viewers & Players Friends of the National Library of Medicine (FNLM) top

Information Networks in Biomedicine

ERIC Educational Resources Information Center

Millard, William L.

1975-01-01

Describes current biomedical information networks, focusing on those with an educational function, and elaborates on the problems encountered in planning, implementing, utilizing and evaluating such networks. Journal of Biocommunication, T. Banks, Educ. TV-431N, U. of Calif., San Francisco 94143. Subscription Rates: individuals and libraries,…

A Paradigm for the Next Millenium: Health Information Science.

ERIC Educational Resources Information Center

Sadler, Lewis

1991-01-01

Described is a curriculum for a new multidisciplinary science-Health Information Science-that incorporates aspects of computer science, cognitive psychology, bioengineering, biomedical visualization, medicine, dentistry, anthropology, mathematics, library science, and the visual arts. The situation of the medical illustration profession is…

Hospital library service and the changes in national standards.

PubMed Central

Glitz, B; Flack, V; Lovas, I M; Newell, P

1998-01-01

Two important sets of standards affecting hospital libraries were significantly revised in 1994, those of the Medical Library Association (MLA) and the Joint Commission on Accreditation of Healthcare Organizations (JCAHO). As part of its continuing efforts to monitor library services within its region, the University of California, Los Angeles Biomedical Library, Regional Medical Library for the Pacific Southwest Region of the National Network of Libraries of Medicine (NN/LM) conducted a survey in late 1994, in part to determine the effects of these revised standards on regional hospital libraries. Data from the survey were also used to provide a view of hospital libraries in the Pacific Southwest region, and to make comparisons with similar data collected in 1989. Results showed that while libraries remained stable in overall number, size, and staffing, services, especially those associated with end-user searching and interlibrary loan, increased enormously. With respect to the MLA standards, results show a high compliance level. Interesting differences were seen between the perceptions of library staff concerning their rate of compliance with the JCAHO standards and their actual compliance as measured by the MLA criteria. While some libraries appear to measure up better than their own perceptions would indicate, others may be fully aware of their actual compliance level. PMID:9549016

One-Bead-Two-Compound Thioether Bridged Macrocyclic γ-AApeptide Screening Library against EphA2.

PubMed

Shi, Yan; Challa, Sridevi; Sang, Peng; She, Fengyu; Li, Chunpu; Gray, Geoffrey M; Nimmagadda, Alekhya; Teng, Peng; Odom, Timothy; Wang, Yan; van der Vaart, Arjan; Li, Qi; Cai, Jianfeng

2017-11-22

Identification of molecular ligands that recognize peptides or proteins is significant but poses a fundamental challenge in chemical biology and biomedical sciences. Development of cyclic peptidomimetic library is scarce, and thus discovery of cyclic peptidomimetic ligands for protein targets is rare. Herein we report the unprecedented one-bead-two-compound (OBTC) combinatorial library based on a novel class of the macrocyclic peptidomimetics γ-AApeptides. In the library, we utilized the coding peptide tags synthesized with Dde-protected α-amino acids, which were orthogonal to solid phase synthesis of γ-AApeptides. Employing the thioether linkage, the desired macrocyclic γ-AApeptides were found to be effective for ligand identification. Screening the library against the receptor tyrosine kinase EphA2 led to the discovery of one lead compound that tightly bound to EphA2 (K d = 81 nM) and potently antagonized EphA2-mediated signaling. This new approach of macrocyclic peptidomimetic library may lead to a novel platform for biomacromolecular surface recognition and function modulation.

A Computer-Assisted Instruction Program on How To Use a Library Card Catalog: Description, Program, and Evaluation.

ERIC Educational Resources Information Center

Wood, Richard J.

The computer program described is written in BASIC and, although it was developed for use at Slippery Rock State College, it could be adapted easily for other libraries using Library of Congress classification and cataloging rules. The program uses simple sequences of instructions and explanations followed by questions. Branching is employed to…

Medical school libraries' handling of articles that report invalid science.

PubMed

Pfeifer, M P; Snodgrass, G L

1992-02-01

In 1989-90 the authors conducted a nationwide study to examine how academic medical libraries handled articles that report invalid science and to determine the effectiveness of any policies implemented to limit the use of such articles. Ninety-five of the 127 medical school libraries the authors surveyed completed questionnaires analyzing policy and attitude issues. Eighty-four of these libraries manually reviewed the available copies they held of ten retracted articles. Of the 811 copies of the retracted, invalid articles reviewed, 742 (91.5%) were not tagged as being invalid. Seventy-nine percent of the libraries had tagged none of the retracted studies and only 16% had policies for managing articles that report invalid science. Academic librarians reflected a common attitude against perceived library censorship and emphasized the user's role in assuring validity. The nation's medical libraries, at least in part by intent, do not commonly identify or have policies to handle the invalid articles they hold. The authors conclude that biomedical researchers, clinicians, and teachers should not assume published studies held in libraries are inherently valid. The lack of stated policy and the disparate assumptions about the role libraries play in this area may perpetuate the use of invalid articles.

Development of Methodologic Tools for Planning and Managing Library Services: II. Measuring a Library's Capability for Providing Documents *

PubMed Central

Orr, Richard H.; Pings, Vern M.; Pizer, Irwin H.; Olson, Edwin E.; Spencer, Carol C.

1968-01-01

A method of measuring a library's capability for providing the documents its users need has been developed. The library is tested with a representative sample of such documents to determine how long would be required for users to obtain these documents. Test results are expressed in terms of a Capability Index, which has a maximal value of 100 only if all the sample documents are found “on shelf.” Specific tests employing samples of 300 documents have been developed that are appropriate for academic and for “reservoir” biomedical libraries. Realistic field trials have demonstrated that these two tests are practical to administer and that test results are adequately reproducible. When strict comparability is not important, a library can test itself. In assessing a reservoir library, test results are supplemented by data on its typical processing time for interlibrary loan requests. Currently these tests are being used in a national survey. The general method is applicable to other types of libraries, provided appropriate test samples are established. If their limitations are clearly understood, these “Document Delivery Tests” can be valuable tools for planning and managing library services. PMID:5665969

IPPF Co-operative Information Service (ICIS). November 1978.

ERIC Educational Resources Information Center

International Planned Parenthood Federation, London (England).

This is a bibliography of family planning material available from the International Planned Parenthood Cooperative Information Service library and documentation services. Entries are made under the following categories: reference books, biographies, family planning and bio-medical science, social sciences related to family planning, international…

The University of Washington Health Sciences Library BioCommons: an evolving Northwest biomedical research information support infrastructure

PubMed Central

Minie, Mark; Bowers, Stuart; Tarczy-Hornoch, Peter; Roberts, Edward; James, Rose A.; Rambo, Neil; Fuller, Sherrilynne

2006-01-01

Setting: The University of Washington Health Sciences Libraries and Information Center BioCommons serves the bioinformatics needs of researchers at the university and in the vibrant for-profit and not-for-profit biomedical research sector in the Washington area and region. Program Components: The BioCommons comprises services addressing internal University of Washington, not-for-profit, for-profit, and regional and global clientele. The BioCommons is maintained and administered by the BioResearcher Liaison Team. The BioCommons architecture provides a highly flexible structure for adapting to rapidly changing resources and needs. Evaluation Mechanisms: BioCommons uses Web-based pre- and post-course evaluations and periodic user surveys to assess service effectiveness. Recent surveys indicate substantial usage of BioCommons services and a high level of effectiveness and user satisfaction. Next Steps/Future Directions: BioCommons is developing novel collaborative Web resources to distribute bioinformatics tools and is experimenting with Web-based competency training in bioinformation resource use. PMID:16888667

BioC implementations in Go, Perl, Python and Ruby

PubMed Central

Liu, Wanli; Islamaj Doğan, Rezarta; Kwon, Dongseop; Marques, Hernani; Rinaldi, Fabio; Wilbur, W. John; Comeau, Donald C.

2014-01-01

As part of a communitywide effort for evaluating text mining and information extraction systems applied to the biomedical domain, BioC is focused on the goal of interoperability, currently a major barrier to wide-scale adoption of text mining tools. BioC is a simple XML format, specified by DTD, for exchanging data for biomedical natural language processing. With initial implementations in C++ and Java, BioC provides libraries of code for reading and writing BioC text documents and annotations. We extend BioC to Perl, Python, Go and Ruby. We used SWIG to extend the C++ implementation for Perl and one Python implementation. A second Python implementation and the Ruby implementation use native data structures and libraries. BioC is also implemented in the Google language Go. BioC modules are functional in all of these languages, which can facilitate text mining tasks. BioC implementations are freely available through the BioC site: http://bioc.sourceforge.net. Database URL: http://bioc.sourceforge.net/ PMID:24961236

Image acquisition context: procedure description attributes for clinically relevant indexing and selective retrieval of biomedical images.

PubMed

Bidgood, W D; Bray, B; Brown, N; Mori, A R; Spackman, K A; Golichowski, A; Jones, R H; Korman, L; Dove, B; Hildebrand, L; Berg, M

1999-01-01

To support clinically relevant indexing of biomedical images and image-related information based on the attributes of image acquisition procedures and the judgments (observations) expressed by observers in the process of image interpretation. The authors introduce the notion of "image acquisition context," the set of attributes that describe image acquisition procedures, and present a standards-based strategy for utilizing the attributes of image acquisition context as indexing and retrieval keys for digital image libraries. The authors' indexing strategy is based on an interdependent message/terminology architecture that combines the Digital Imaging and Communication in Medicine (DICOM) standard, the SNOMED (Systematized Nomenclature of Human and Veterinary Medicine) vocabulary, and the SNOMED DICOM microglossary. The SNOMED DICOM microglossary provides context-dependent mapping of terminology to DICOM data elements. The capability of embedding standard coded descriptors in DICOM image headers and image-interpretation reports improves the potential for selective retrieval of image-related information. This favorably affects information management in digital libraries.

Biomedical journal title changes: reasons, trends, and impact.

PubMed Central

Afes, V B; Wrynn, P E

1993-01-01

A study was conducted to document the impact of biomedical journal title changes on medical libraries and to increase awareness of the reasons titles are changed. The study consisted of two parts: a survey of academic health sciences libraries in the United States and Canada and an analysis of title changes from two different years. The survey response rate was 83%. The majority of respondents commented on difficulties in identifying and processing title changes, often resulting in the delay or loss of information. The analysis revealed that a third of title changes were not justified by the journal. The study results substantiate the need to standardize title change reporting by publishers. A standard developed by the National Information Standards Organization requires publishers to conform to standardized practices for notification. This standard precisely reflects the concerns reflected in both the survey and the study of title changes, and librarians are urged to ensure that the standard is implemented by publishers. PMID:8428189

Hybrid Discrete Wavelet Transform and Gabor Filter Banks Processing for Features Extraction from Biomedical Images

PubMed Central

Lahmiri, Salim; Boukadoum, Mounir

2013-01-01

A new methodology for automatic feature extraction from biomedical images and subsequent classification is presented. The approach exploits the spatial orientation of high-frequency textural features of the processed image as determined by a two-step process. First, the two-dimensional discrete wavelet transform (DWT) is applied to obtain the HH high-frequency subband image. Then, a Gabor filter bank is applied to the latter at different frequencies and spatial orientations to obtain new Gabor-filtered image whose entropy and uniformity are computed. Finally, the obtained statistics are fed to a support vector machine (SVM) binary classifier. The approach was validated on mammograms, retina, and brain magnetic resonance (MR) images. The obtained classification accuracies show better performance in comparison to common approaches that use only the DWT or Gabor filter banks for feature extraction. PMID:27006906

Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.

PubMed

Li, Jinyan; Fong, Simon; Sung, Yunsick; Cho, Kyungeun; Wong, Raymond; Wong, Kelvin K L

2016-01-01

An imbalanced dataset is defined as a training dataset that has imbalanced proportions of data in both interesting and uninteresting classes. Often in biomedical applications, samples from the stimulating class are rare in a population, such as medical anomalies, positive clinical tests, and particular diseases. Although the target samples in the primitive dataset are small in number, the induction of a classification model over such training data leads to poor prediction performance due to insufficient training from the minority class. In this paper, we use a novel class-balancing method named adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique (ASCB_DmSMOTE) to solve this imbalanced dataset problem, which is common in biomedical applications. The proposed method combines under-sampling and over-sampling into a swarm optimisation algorithm. It adaptively selects suitable parameters for the rebalancing algorithm to find the best solution. Compared with the other versions of the SMOTE algorithm, significant improvements, which include higher accuracy and credibility, are observed with ASCB_DmSMOTE. Our proposed method tactfully combines two rebalancing techniques together. It reasonably re-allocates the majority class in the details and dynamically optimises the two parameters of SMOTE to synthesise a reasonable scale of minority class for each clustered sub-imbalanced dataset. The proposed methods ultimately overcome other conventional methods and attains higher credibility with even greater accuracy of the classification model.

Text Mining in Biomedical Domain with Emphasis on Document Clustering.

PubMed

Renganathan, Vinaitheerthan

2017-07-01

With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise.

Structural Design and Physicochemical Foundations of Hydrogels for Biomedical Applications.

PubMed

Li, Qingyong; Ning, Zhengxiang; Ren, Jiaoyan; Liao, Wenzhen

2018-01-01

Biomedical research, known as medical research, is conducive to support and promote the development of knowledge in the field of medicine. Hydrogels have been extensively used in many biomedical fields due to their highly absorbent and flexible properties. The smart hydrogels, especially, can respond to a broad range of external stimuli such as temperature, pH value, light, electric and magnetic fields. With excellent biocompatibility, tunable rheology, mechanical properties, porosity, and hydrated molecular structure, hydrogels are considered as promising candidate for simulating local tissue microenvironment. In this review article, we mainly focused on the most recent development of engineering synthetic hydrogels; moreover, the classification, properties, especially the biomedical applications including tissue engineering and cell scaffolding, drug and gene delivery, immunotherapies and vaccines, are summarized and discussed. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Finding and accessing diagrams in biomedical publications.

PubMed

Kuhn, Tobias; Luong, ThaiBinh; Krauthammer, Michael

2012-01-01

Complex relationships in biomedical publications are often communicated by diagrams such as bar and line charts, which are a very effective way of summarizing and communicating multi-faceted data sets. Given the ever-increasing amount of published data, we argue that the precise retrieval of such diagrams is of great value for answering specific and otherwise hard-to-meet information needs. To this end, we demonstrate the use of advanced image processing and classification for identifying bar and line charts by the shape and relative location of the different image elements that make up the charts. With recall and precisions of close to 90% for the detection of relevant figures, we discuss the use of this technology in an existing biomedical image search engine, and outline how it enables new forms of literature queries over biomedical relationships that are represented in these charts.

Third Generation Nigerian University Libraries.

ERIC Educational Resources Information Center

Agboola, A. T.

1993-01-01

Examines the development of Nigerian University libraries and the political factors that created them and continue to effect their development, with a focus on those established between 1980 and 1984. Users, governance, finance, buildings, staffing, collection development, services, cataloging and classification, and automation are described.…

User Education Resources: USER.

ERIC Educational Resources Information Center

Condon, Patrick; Cook, Johanna

This report describes User Education Resources (USER), an Australian database containing both print and audiovisual materials related to library instruction. Intended to make a wide range of ideas readily available to librarians interested in educating library patrons, USER collects catalog guides, classification guides, evaluation forms, floor…

OCLC Participating Institutions: Arranged by Network and Subarranged by Institution Name.

ERIC Educational Resources Information Center

OCLC Online Computer Library Center, Inc., Dublin, OH.

This directory of institutions participating in the Ohio College Library Center (OCLC) presents the following information for each: assigned OCLC symbol, institution name and address, affiliated network, classification scheme in use, and identification symbol assigned by Library of Congress. (SC)

A New Pivoting and Iterative Text Detection Algorithm for Biomedical Images

PubMed Central

Xu, Songhua; Krauthammer, Michael

2010-01-01

There is interest to expand the reach of literature mining to include the analysis of biomedical images, which often contain a paper’s key findings. Examples include recent studies that use Optical Character Recognition (OCR) to extract image text, which is used to boost biomedical image retrieval and classification. Such studies rely on the robust identification of text elements in biomedical images, which is a non-trivial task. In this work, we introduce a new text detection algorithm for biomedical images based on iterative projection histograms. We study the effectiveness of our algorithm by evaluating the performance on a set of manually labeled random biomedical images, and compare the performance against other state-of-the-art text detection algorithms. In this paper, we demonstrate that a projection histogram-based text detection approach is well suited for text detection in biomedical images, with a performance of F score of .60. The approach performs better than comparable approaches for text detection. Further, we show that the iterative application of the algorithm is boosting overall detection performance. A C++ implementation of our algorithm is freely available through email request for academic use. PMID:20887803

A multiple distributed representation method based on neural network for biomedical event extraction.

PubMed

Wang, Anran; Wang, Jian; Lin, Hongfei; Zhang, Jianhai; Yang, Zhihao; Xu, Kan

2017-12-20

Biomedical event extraction is one of the most frontier domains in biomedical research. The two main subtasks of biomedical event extraction are trigger identification and arguments detection which can both be considered as classification problems. However, traditional state-of-the-art methods are based on support vector machine (SVM) with massive manually designed one-hot represented features, which require enormous work but lack semantic relation among words. In this paper, we propose a multiple distributed representation method for biomedical event extraction. The method combines context consisting of dependency-based word embedding, and task-based features represented in a distributed way as the input of deep learning models to train deep learning models. Finally, we used softmax classifier to label the example candidates. The experimental results on Multi-Level Event Extraction (MLEE) corpus show higher F-scores of 77.97% in trigger identification and 58.31% in overall compared to the state-of-the-art SVM method. Our distributed representation method for biomedical event extraction avoids the problems of semantic gap and dimension disaster from traditional one-hot representation methods. The promising results demonstrate that our proposed method is effective for biomedical event extraction.

A Comparative Study of Charges Made Through an Automated Circulation System in the Colorado State University Libraries.

ERIC Educational Resources Information Center

Burns, Robert W.

To determine use of portions of the collections at Colorado State University libraries and to identify heavily used sections, the collections were divided into 204 blocks according to Library of Congress classification letters. The number of charges made in each block was counted during a 1975 quarter for patrons, charges made to the reserve desk,…

Case-based statistical learning applied to SPECT image classification

NASA Astrophysics Data System (ADS)

Górriz, Juan M.; Ramírez, Javier; Illán, I. A.; Martínez-Murcia, Francisco J.; Segovia, Fermín.; Salas-Gonzalez, Diego; Ortiz, A.

2017-03-01

Statistical learning and decision theory play a key role in many areas of science and engineering. Some examples include time series regression and prediction, optical character recognition, signal detection in communications or biomedical applications for diagnosis and prognosis. This paper deals with the topic of learning from biomedical image data in the classification problem. In a typical scenario we have a training set that is employed to fit a prediction model or learner and a testing set on which the learner is applied to in order to predict the outcome for new unseen patterns. Both processes are usually completely separated to avoid over-fitting and due to the fact that, in practice, the unseen new objects (testing set) have unknown outcomes. However, the outcome yields one of a discrete set of values, i.e. the binary diagnosis problem. Thus, assumptions on these outcome values could be established to obtain the most likely prediction model at the training stage, that could improve the overall classification accuracy on the testing set, or keep its performance at least at the level of the selected statistical classifier. In this sense, a novel case-based learning (c-learning) procedure is proposed which combines hypothesis testing from a discrete set of expected outcomes and a cross-validated classification stage.

Spatial modeling and classification of corneal shape.

PubMed

Marsolo, Keith; Twa, Michael; Bullimore, Mark A; Parthasarathy, Srinivasan

2007-03-01

One of the most promising applications of data mining is in biomedical data used in patient diagnosis. Any method of data analysis intended to support the clinical decision-making process should meet several criteria: it should capture clinically relevant features, be computationally feasible, and provide easily interpretable results. In an initial study, we examined the feasibility of using Zernike polynomials to represent biomedical instrument data in conjunction with a decision tree classifier to distinguish between the diseased and non-diseased eyes. Here, we provide a comprehensive follow-up to that work, examining a second representation, pseudo-Zernike polynomials, to determine whether they provide any increase in classification accuracy. We compare the fidelity of both methods using residual root-mean-square (rms) error and evaluate accuracy using several classifiers: neural networks, C4.5 decision trees, Voting Feature Intervals, and Naïve Bayes. We also examine the effect of several meta-learning strategies: boosting, bagging, and Random Forests (RFs). We present results comparing accuracy as it relates to dataset and transformation resolution over a larger, more challenging, multi-class dataset. They show that classification accuracy is similar for both data transformations, but differs by classifier. We find that the Zernike polynomials provide better feature representation than the pseudo-Zernikes and that the decision trees yield the best balance of classification accuracy and interpretability.

The librarian as research informationist: a case study.

PubMed

Federer, Lisa

2013-10-01

How can an embedded research informationist add value to the scientific output of research teams? The University of California-Los Angeles (UCLA) Louise M. Darling Biomedical Library is an academic health sciences library serving the clinical, educational, and research needs of the UCLA community. A grant from the National Library of Medicine funded a librarian to join a UCLA research team as an informationist. The informationist meets regularly with the research team and provides guidance related to data management, preservation, and other information-related issues. Early results suggest that the informationist's involvement has influenced the team's data gathering, storage, and curation methods. The UCLA Library has also changed the librarian's title to research informationist to reflect the new activities that she performs. The research informationist role provides an opportunity for librarians to become effective members of research teams and improve research output.

Evaluating the operational risks of biomedical waste using failure mode and effects analysis.

PubMed

Chen, Ying-Chu; Tsai, Pei-Yi

2017-06-01

The potential problems and risks of biomedical waste generation have become increasingly apparent in recent years. This study applied a failure mode and effects analysis to evaluate the operational problems and risks of biomedical waste. The microbiological contamination of biomedical waste seldom receives the attention of researchers. In this study, the biomedical waste lifecycle was divided into seven processes: Production, classification, packaging, sterilisation, weighing, storage, and transportation. Twenty main failure modes were identified in these phases and risks were assessed based on their risk priority numbers. The failure modes in the production phase accounted for the highest proportion of the risk priority number score (27.7%). In the packaging phase, the failure mode 'sharp articles not placed in solid containers' had the highest risk priority number score, mainly owing to its high severity rating. The sterilisation process is the main difference in the treatment of infectious and non-infectious biomedical waste. The failure modes in the sterilisation phase were mainly owing to human factors (mostly related to operators). This study increases the understanding of the potential problems and risks associated with biomedical waste, thereby increasing awareness of how to improve the management of biomedical waste to better protect workers, the public, and the environment.

Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support

PubMed Central

Bodenreider, O.

2008-01-01

Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. Methods Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed. PMID:18660879

Architecture and Initial Development of a Knowledge-as-a-Service Activator for Computable Knowledge Objects for Health.

PubMed

Flynn, Allen J; Boisvert, Peter; Gittlen, Nate; Gross, Colin; Iott, Brad; Lagoze, Carl; Meng, George; Friedman, Charles P

2018-01-01

The Knowledge Grid (KGrid) is a research and development program toward infrastructure capable of greatly decreasing latency between the publication of new biomedical knowledge and its widespread uptake into practice. KGrid comprises digital knowledge objects, an online Library to store them, and an Activator that uses them to provide Knowledge-as-a-Service (KaaS). KGrid's Activator enables computable biomedical knowledge, held in knowledge objects, to be rapidly deployed at Internet-scale in cloud computing environments for improved health. Here we present the Activator, its system architecture and primary functions.

Biomedical Research and Research Training Amendments of 1978. Hearings before the Subcommittee on Health and the Environment of the Committee on Interstate and Foreign Commerce, House of Representatives, Ninety-Fifth Congress, Second Session, on H.R. 10908, H.R. 10062, and H.R. 10190. March 1,2, and 3, 1978.

ERIC Educational Resources Information Center

Congress of the U. S., Washington, DC. House Committee on Interstate and Foreign Commerce.

Hearings before the House Subcommittee on Health and the Environment on biomedical research and research training authorities that expire on September 30, 1978 are presented. H.R. 10908 is a bill to amend the Public Health Service Act to revise and extend the programs of assistance for libraries of medicine and the programs of the National Heart,…

Study of the Information Dissemination Service--Health Sciences Library, State University of New York at Buffalo.

PubMed Central

Brown, H J; Miller, J K; Pinchoff, D M

1975-01-01

The Information Dissemination Service at the Health Sciences Library, State University of New York at Buffalo, was established June 1970 through a three-year grant from the Lakes Area Regional Medical Program, Inc. Analysis of two samples of user request forms yielded results which significantly substantiate findings in prior biomedical literature utilization studies. The findings demonstrate comparable utilization patterns by user group, age of material, journal titles, language, time to process request, source of reference, and size of institution. PMID:1148441

Access to Biomedical Information: The Unified Medical Language System.

ERIC Educational Resources Information Center

Squires, Steven J.

1993-01-01

Describes the development of a Unified Medical Language System (UMLS) by the National Library of Medicine that will retrieve and integrate information from a variety of information resources. Highlights include the metathesaurus; the UMLS semantic network; semantic locality; information sources map; evaluation of the metathesaurus; future…

Dimensions of Drug Information

ERIC Educational Resources Information Center

Sharp, Mark E.

2011-01-01

The high number, heterogeneity, and inadequate integration of drug information resources constitute barriers to many drug information usage scenarios. In the biomedical domain there is a rich legacy of knowledge representation in ontology-like structures that allows us to connect this problem both to the very mature field of library and…

A Recent Advance in the Automatic Indexing of the Biomedical Literature

PubMed Central

Névéol, Aurélie; Shooshan, Sonya E.; Humphrey, Susanne M.; Mork, James G.; Aronson, Alan R.

2009-01-01

The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE®, the largest bibliographic database of biomedical citations. Indexers at the U.S. National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH® terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM’s Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice. PMID:19166973

Automatic Publishing of Library Bulletins.

ERIC Educational Resources Information Center

Inbal, Moshe

1980-01-01

Describes the use of a computer to publish library bulletins that list recent accessions of technical reports according to the subject classification scheme of NTIS/SRIM (National Technical Information Service's Scientific Reports in Microfiche). The codes file, the four computer program functions, and costs/economy are discussed. (JD)

Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters

PubMed Central

Plenis, Alina; Rekowska, Natalia; Bączek, Tomasz

2016-01-01

This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis. PMID:26805819

Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

PubMed

Plenis, Alina; Rekowska, Natalia; Bączek, Tomasz

2016-01-21

This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis.

IFLA General Conference, 1992. Division of Bibliographic Control: Section on Classification and Indexing; Section on Cataloguing. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations and Institutions, London (England).

Five papers from the sessions of the International Federation of Library Associations and Institutions 1992 conference on classification, indexing, and cataloging are presented. Three papers deal with knowledge classification as it relates to database design, as it is practiced in India, and in a worldwide context. The remaining two papers focus…

Developing a culture of lifelong learning in a library environment.

PubMed Central

Giuse, N B; Kafantaris, S R; Huber, J T; Lynch, F; Epelbaum, M; Pfeiffer, J

1999-01-01

Between 1995 and 1996, the Annette and Irwin Eskind Biomedical Library (EBL) at Vanderbilt University Medical Center (VUMC) radically revised the model of service it provides to the VUMC community. An in-depth training program was developed for librarians, who began to migrate to clinical settings and establish clinical librarianship and information brokerage services beyond the library's walls. To ensure that excellent service would continue within the library, EBL's training program was adapted for library assistants, providing them with access to information about a wide variety of work roles and processes over a four to eight-month training period. Concurrently, customer service areas were reorganized so that any question--whether reference or circulation--could be answered at any of four service points, eliminating the practice of passing customers from person to person between the reference and circulation desks. To provide an incentive for highly trained library assistants to remain at EBL, management and library assistants worked together to redesign the career pathway based on defined stages of achievement, self-directed participation in library-wide projects, and demonstrated commitment to lifelong learning. Education and training were the fundamental principles at the center of all this activity. Images PMID:9934526

Operations of the Biblioteca Regional de Medicina (BIREME).

PubMed

Neghme, A

1975-04-01

The operations and accomplishments of the Biblioteca Regional de Medicina (BIREME), the regional medical library of the Pan American Health Organization, are summarized. Aspects of BIREME's program which are described include: strengthening biomedical collections in Latin America, network organization, international cooperation, document and information delivery, bibliographic services, and educational efforts.

TRADOC Library and Information Network (TRALINET)

DTIC Science & Technology

1979-03-01

by the Library of Congress, Dewey materials that have beer photographically reduced Decimal , or any other classification scheme adopted in size for...sites at Forts Hood, TX; Gordon, GA; Monroe, VA; Knox, KY, and Leavenworth, KS. DTIC, formally Defense Documentation Center ( DDC ), serves as the primary...locally expanded subject schedules, whether schedules aic for Dewey , Library of Congress, etc., particularly in the are& of Military Arts and Sciences. 1 4

MR 201424 Final Report Addendum

DTIC Science & Technology

2016-09-01

FINAL REPORT ADDENDUM Munitions Classification Library ESTCP Project MR-201424 SEPTEMBER 2016 Mr. Craig Murray Dr. Nagi Khadr Parsons Dr...solver and multi-solver library databases, and only the TEMTADS 2X2 and the MetalMapper advanced TEM systems are supported by UX-Analyze, data on...other steps (section 3.4) before getting into the data collection activities (sections 3.5-3.7). All inversions of library quality data collected over

Simbody: multibody dynamics for biomedical research.

PubMed

Sherman, Michael A; Seth, Ajay; Delp, Scott L

Multibody software designed for mechanical engineering has been successfully employed in biomedical research for many years. For real time operation some biomedical researchers have also adapted game physics engines. However, these tools were built for other purposes and do not fully address the needs of biomedical researchers using them to analyze the dynamics of biological structures and make clinically meaningful recommendations. We are addressing this problem through the development of an open source, extensible, high performance toolkit including a multibody mechanics library aimed at the needs of biomedical researchers. The resulting code, Simbody, supports research in a variety of fields including neuromuscular, prosthetic, and biomolecular simulation, and related research such as biologically-inspired design and control of humanoid robots and avatars. Simbody is the dynamics engine behind OpenSim, a widely used biomechanics simulation application. This article reviews issues that arise uniquely in biomedical research, and reports on the architecture, theory, and computational methods Simbody uses to address them. By addressing these needs explicitly Simbody provides a better match to the needs of researchers than can be obtained by adaptation of mechanical engineering or gaming codes. Simbody is a community resource, free for any purpose. We encourage wide adoption and invite contributions to the code base at https://simtk.org/home/simbody.

75 FR 42173 - Small Business Size Standards: Waiver of the Nonmanufacturer Rule

Federal Register 2010, 2011, 2012, 2013, 2014

2010-07-20

... Configured Tape Library Storage Equipment. SUMMARY: The U.S. Small Business Administration (SBA) is granting a class waiver of the Nonmanufacturer Rule for Configured Tape Library Storage Equipment, Product... Support Equipment, and PSC 7045 ADP Supplies, under the North American Industry Classification System...

Text Mining in Biomedical Domain with Emphasis on Document Clustering

PubMed Central

2017-01-01

Objectives With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. Methods This paper reviews text mining processes in detail and the software tools available to carry out text mining. It also reviews the roles and applications of text mining in the biomedical domain. Results Text mining processes, such as search and retrieval of documents, pre-processing of documents, natural language processing, methods for text clustering, and methods for text classification are described in detail. Conclusions Text mining techniques can facilitate the mining of vast amounts of knowledge on a given topic from published biomedical research articles and draw meaningful conclusions that are not possible otherwise. PMID:28875048

Finding and Accessing Diagrams in Biomedical Publications

PubMed Central

Kuhn, Tobias; Luong, ThaiBinh; Krauthammer, Michael

2012-01-01

Complex relationships in biomedical publications are often communicated by diagrams such as bar and line charts, which are a very effective way of summarizing and communicating multi-faceted data sets. Given the ever-increasing amount of published data, we argue that the precise retrieval of such diagrams is of great value for answering specific and otherwise hard-to-meet information needs. To this end, we demonstrate the use of advanced image processing and classification for identifying bar and line charts by the shape and relative location of the different image elements that make up the charts. With recall and precisions of close to 90% for the detection of relevant figures, we discuss the use of this technology in an existing biomedical image search engine, and outline how it enables new forms of literature queries over biomedical relationships that are represented in these charts. PMID:23304318

Building and evaluating an informatics tool to facilitate analysis of a biomedical literature search service in an academic medical center library.

PubMed

Hinton, Elizabeth G; Oelschlegel, Sandra; Vaughn, Cynthia J; Lindsay, J Michael; Hurst, Sachiko M; Earl, Martha

2013-01-01

This study utilizes an informatics tool to analyze a robust literature search service in an academic medical center library. Structured interviews with librarians were conducted focusing on the benefits of such a tool, expectations for performance, and visual layout preferences. The resulting application utilizes Microsoft SQL Server and .Net Framework 3.5 technologies, allowing for the use of a web interface. Customer tables and MeSH terms are included. The National Library of Medicine MeSH database and entry terms for each heading are incorporated, resulting in functionality similar to searching the MeSH database through PubMed. Data reports will facilitate analysis of the search service.

Fluorescence-based classification of Caribbean coral reef organisms and substrates

USGS Publications Warehouse

Zawada, David G.; Mazel, Charles H.

2014-01-01

A diverse group of coral reef organisms, representing several phyla, possess fluorescent pigments. We investigated the potential of using the characteristic fluorescence emission spectra of these pigments to enable unsupervised, optical classification of coral reef habitats. We compiled a library of characteristic fluorescence spectra through in situ and laboratory measurements from a variety of specimens throughout the Caribbean. Because fluorescent pigments are not species-specific, the spectral library is organized in terms of 15 functional groups. We investigated the spectral separability of the functional groups in terms of the number of wavebands required to distinguish between them, using the similarity measures Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), SID-SAM mixed measure, and Mahalanobis distance. This set of measures represents geometric, stochastic, joint geometric-stochastic, and statistical approaches to classifying spectra. Our hyperspectral fluorescence data were used to generate sets of 4-, 6-, and 8-waveband spectra, including random variations in relative signal amplitude, spectral peak shifts, and water-column attenuation. Each set consisted of 2 different band definitions: ‘optimally-picked’ and ‘evenly-spaced.’ The optimally-picked wavebands were chosen to coincide with as many peaks as possible in the functional group spectra. Reference libraries were formed from half of the spectra in each set and used for training purposes. Average classification accuracies ranged from 76.3% for SAM with 4 evenly-spaced wavebands to 93.8% for Mahalanobis distance with 8 evenly-spaced wavebands. The Mahalanobis distance consistently outperformed the other measures. In a second test, empirically-measured spectra were classified using the same reference libraries and the Mahalanobis distance for just the 8 evenly-spaced waveband case. Average classification accuracies were 84% and 87%, corresponding to the extremes in modeled water-column attenuation. The classification results from both tests indicate that a high degree of separability among the 15 fluorescent-spectra functional groups is possible using only a modest number of spectral bands.

New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems

PubMed Central

Li, Xiguang; Zhao, Liang; Gong, Changqing; Liu, Xiaojing

2017-01-01

Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm, namely, dandelion algorithm (DA), is proposed for global optimization of complex functions in this paper. In DA, the dandelion population will be divided into two subpopulations, and different subpopulations will undergo different sowing behaviors. Moreover, another sowing method is designed to jump out of local optimum. In order to demonstrate the validation of DA, we compare the proposed algorithm with other existing algorithms, including bat algorithm, particle swarm optimization, and enhanced fireworks algorithm. Simulations show that the proposed algorithm seems much superior to other algorithms. At the same time, the proposed algorithm can be applied to optimize extreme learning machine (ELM) for biomedical classification problems, and the effect is considerable. At last, we use different fusion methods to form different fusion classifiers, and the fusion classifiers can achieve higher accuracy and better stability to some extent. PMID:29085425

Classification of LC columns based on the QSRR method and selectivity toward moclobemide and its metabolites.

PubMed

Plenis, Alina; Olędzka, Ilona; Bączek, Tomasz

2013-05-05

This paper focuses on a comparative study of the column classification system based on the quantitative structure-retention relationships (QSRR method) and column performance in real biomedical analysis. The assay was carried out for the LC separation of moclobemide and its metabolites in human plasma, using a set of 24 stationary phases. The QSRR models established for the studied stationary phases were compared with the column test performance results under two chemometric techniques - the principal component analysis (PCA) and the hierarchical clustering analysis (HCA). The study confirmed that the stationary phase classes found closely related by the QSRR approach yielded comparable separation for moclobemide and its metabolites. Therefore, the QSRR method could be considered supportive in the selection of a suitable column for the biomedical analysis offering the selection of similar or dissimilar columns with a relatively higher certainty. Copyright © 2013 Elsevier B.V. All rights reserved.

Comparison of several chemometric methods of libraries and classifiers for the analysis of expired drugs based on Raman spectra.

PubMed

Gao, Qun; Liu, Yan; Li, Hao; Chen, Hui; Chai, Yifeng; Lu, Feng

2014-06-01

Some expired drugs are difficult to detect by conventional means. If they are repackaged and sold back into market, they will constitute a new public health challenge. For the detection of repackaged expired drugs within specification, paracetamol tablet from a manufacturer was used as a model drug in this study for comparison of Raman spectra-based library verification and classification methods. Raman spectra of different batches of paracetamol tablets were collected and a library including standard spectra of unexpired batches of tablets was established. The Raman spectrum of each sample was identified by cosine and correlation with the standard spectrum. The average HQI of the suspicious samples and the standard spectrum were calculated. The optimum threshold values were 0.997 and 0.998 respectively as a result of ROC and four evaluations, for which the accuracy was up to 97%. Three supervised classifiers, PLS-DA, SVM and k-NN, were chosen to establish two-class classification models and compared subsequently. They were used to establish a classification of expired batches and an unexpired batch, and predict the suspect samples. The average accuracy was 90.12%, 96.80% and 89.37% respectively. Different pre-processing techniques were tried to find that first derivative was optimal for methods of libraries and max-min normalization was optimal for that of classifiers. The results obtained from these studies indicated both libraries and classifier methods could detect the expired drugs effectively, and they should be used complementarily in the fast-screening. Copyright © 2014 Elsevier B.V. All rights reserved.

An assessment of collections at the University of Wisconsin-Madison Health Sciences Libraries: drug resistance.

PubMed

Bergen, P L; Nemec, D

1999-01-01

In December 1997, the authors completed an in-depth collection assessment project at the University of Wisconsin-Madison Health Sciences Libraries. The purpose was to develop a framework for future collection assessment projects by completing a multifaceted evaluation of the libraries' monograph and serial collections in the subject area of drug resistance. Evaluators adapted and synthesized several traditional collection assessment tools, including shelflist measurement, bibliography and standard list checking, and citation analysis. Throughout the project, evaluators explored strategies to overcome some of the problems inherent in the application of traditional collection assessment methods to the evaluation of biomedical collections. Their efforts resulted in the identification of standard monographs and core journals for the subject area, a measurement of the collections' strength relative to the collections of benchmark libraries, and a foundation for future collection development within the subject area. The project's primary outcome was a collection assessment methodology that has potential application to both internal and cooperative collection development in medical, pharmaceutical, and other health sciences libraries.

Rapid development of medical imaging tools with open-source libraries.

PubMed

Caban, Jesus J; Joshi, Alark; Nagy, Paul

2007-11-01

Rapid prototyping is an important element in researching new imaging analysis techniques and developing custom medical applications. In the last ten years, the open source community and the number of open source libraries and freely available frameworks for biomedical research have grown significantly. What they offer are now considered standards in medical image analysis, computer-aided diagnosis, and medical visualization. A cursory review of the peer-reviewed literature in imaging informatics (indeed, in almost any information technology-dependent scientific discipline) indicates the current reliance on open source libraries to accelerate development and validation of processes and techniques. In this survey paper, we review and compare a few of the most successful open source libraries and frameworks for medical application development. Our dual intentions are to provide evidence that these approaches already constitute a vital and essential part of medical image analysis, diagnosis, and visualization and to motivate the reader to use open source libraries and software for rapid prototyping of medical applications and tools.

Selection of Journals for Index Medicus: A Historical Review

PubMed Central

Karel, Leonard

1967-01-01

From the inception of the first Index Medicus, published in 1879, to the present, the National Library of Medicine has been concerned with the quality of journals in the Index. The Library has, therefore, sought advice repeatedly on how best to maintain currency of the Index without sacrificing quality and subject matter balance. Responding to suggestions, the Library decided in June 1964 to base its selection of journals on recommendations made by a panel consisting primarily of extramural consultants widely regarded as specialists in the totality of biomedical literature. Beginning with its first meeting in September 1964, this panel has been fortified in its reviews by advice from subject matter specialists. The panel, by its own wishes, which bear the endorsement of the Board of Regents of the Library, will continue to rely heavily on such expert advice in future evaluations of journals. PMID:6072093

Browsing Your Virtual Library: The Case of Expanding Universe.

ERIC Educational Resources Information Center

Daniels, Wayne; Enright, Jeanne; Mackenzie, Scott

1997-01-01

Describes "Expanding Universe: a classified search tool for amateur astronomy," a Web site maintained by the Metropolitan Toronto Reference Library which uses a modified form of the Dewey Decimal Classification to organize a large file of astronomy hotlinks. Highlights include structure, HTML coding, design requirements, and future…

Weeding the School Library Media Collection.

ERIC Educational Resources Information Center

School Library Media Quarterly, 1984

1984-01-01

This document prepared by Calgary Board of Education, Calgary, Alberta, Canada, discusses a systematic approach to strengthening the library media collection. A statement of principle, what to weed, specific guides to weeding (by Dewey Decimal classification and type of material), what not to weed, procedures, and weeding follow-up are…

BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications.

PubMed

Whetzel, Patricia L; Noy, Natalya F; Shah, Nigam H; Alexander, Paul R; Nyulas, Csongor; Tudorache, Tania; Musen, Mark A

2011-07-01

The National Center for Biomedical Ontology (NCBO) is one of the National Centers for Biomedical Computing funded under the NIH Roadmap Initiative. Contributing to the national computing infrastructure, NCBO has developed BioPortal, a web portal that provides access to a library of biomedical ontologies and terminologies (http://bioportal.bioontology.org) via the NCBO Web services. BioPortal enables community participation in the evaluation and evolution of ontology content by providing features to add mappings between terms, to add comments linked to specific ontology terms and to provide ontology reviews. The NCBO Web services (http://www.bioontology.org/wiki/index.php/NCBO_REST_services) enable this functionality and provide a uniform mechanism to access ontologies from a variety of knowledge representation formats, such as Web Ontology Language (OWL) and Open Biological and Biomedical Ontologies (OBO) format. The Web services provide multi-layered access to the ontology content, from getting all terms in an ontology to retrieving metadata about a term. Users can easily incorporate the NCBO Web services into software applications to generate semantically aware applications and to facilitate structured data collection.

Desiderata for ontologies to be used in semantic annotation of biomedical documents.

PubMed

Bada, Michael; Hunter, Lawrence

2011-02-01

A wealth of knowledge valuable to the translational research scientist is contained within the vast biomedical literature, but this knowledge is typically in the form of natural language. Sophisticated natural-language-processing systems are needed to translate text into unambiguous formal representations grounded in high-quality consensus ontologies, and these systems in turn rely on gold-standard corpora of annotated documents for training and testing. To this end, we are constructing the Colorado Richly Annotated Full-Text (CRAFT) Corpus, a collection of 97 full-text biomedical journal articles that are being manually annotated with the entire sets of terms from select vocabularies, predominantly from the Open Biomedical Ontologies (OBO) library. Our efforts in building this corpus has illuminated infelicities of these ontologies with respect to the semantic annotation of biomedical documents, and we propose desiderata whose implementation could substantially improve their utility in this task; these include the integration of overlapping terms across OBOs, the resolution of OBO-specific ambiguities, the integration of the BFO with the OBOs and the use of mid-level ontologies, the inclusion of noncanonical instances, and the expansion of relations and realizable entities. Copyright © 2010 Elsevier Inc. All rights reserved.

CAFÉ-Map: Context Aware Feature Mapping for mining high dimensional biomedical data.

PubMed

Minhas, Fayyaz Ul Amir Afsar; Asif, Amina; Arif, Muhammad

2016-12-01

Feature selection and ranking is of great importance in the analysis of biomedical data. In addition to reducing the number of features used in classification or other machine learning tasks, it allows us to extract meaningful biological and medical information from a machine learning model. Most existing approaches in this domain do not directly model the fact that the relative importance of features can be different in different regions of the feature space. In this work, we present a context aware feature ranking algorithm called CAFÉ-Map. CAFÉ-Map is a locally linear feature ranking framework that allows recognition of important features in any given region of the feature space or for any individual example. This allows for simultaneous classification and feature ranking in an interpretable manner. We have benchmarked CAFÉ-Map on a number of toy and real world biomedical data sets. Our comparative study with a number of published methods shows that CAFÉ-Map achieves better accuracies on these data sets. The top ranking features obtained through CAFÉ-Map in a gene profiling study correlate very well with the importance of different genes reported in the literature. Furthermore, CAFÉ-Map provides a more in-depth analysis of feature ranking at the level of individual examples. CAFÉ-Map Python code is available at: http://faculty.pieas.edu.pk/fayyaz/software.html#cafemap . The CAFÉ-Map package supports parallelization and sparse data and provides example scripts for classification. This code can be used to reconstruct the results given in this paper. Copyright © 2016 Elsevier Ltd. All rights reserved.

The Effect of Automation on Job Duties, Classifications, Staffing Patterns, and Labor Costs in the UBC Library's Cataloguing Divisions: A Comparison of 1973 and 1986.

ERIC Educational Resources Information Center

de Bruijn, Erik

This report discusses an ex post facto study that was done to examine the effect that the implementation of automated systems has had on libraries and support staff, labor costs, and productivity in the cataloging divisions of the library of the University of British Columbia. A comparison was made between two years: 1973, a pre-automated period…

Enhancing navigation in biomedical databases by community voting and database-driven text classification

PubMed Central

Duchrow, Timo; Shtatland, Timur; Guettler, Daniel; Pivovarov, Misha; Kramer, Stefan; Weissleder, Ralph

2009-01-01

Background The breadth of biological databases and their information content continues to increase exponentially. Unfortunately, our ability to query such sources is still often suboptimal. Here, we introduce and apply community voting, database-driven text classification, and visual aids as a means to incorporate distributed expert knowledge, to automatically classify database entries and to efficiently retrieve them. Results Using a previously developed peptide database as an example, we compared several machine learning algorithms in their ability to classify abstracts of published literature results into categories relevant to peptide research, such as related or not related to cancer, angiogenesis, molecular imaging, etc. Ensembles of bagged decision trees met the requirements of our application best. No other algorithm consistently performed better in comparative testing. Moreover, we show that the algorithm produces meaningful class probability estimates, which can be used to visualize the confidence of automatic classification during the retrieval process. To allow viewing long lists of search results enriched by automatic classifications, we added a dynamic heat map to the web interface. We take advantage of community knowledge by enabling users to cast votes in Web 2.0 style in order to correct automated classification errors, which triggers reclassification of all entries. We used a novel framework in which the database "drives" the entire vote aggregation and reclassification process to increase speed while conserving computational resources and keeping the method scalable. In our experiments, we simulate community voting by adding various levels of noise to nearly perfectly labelled instances, and show that, under such conditions, classification can be improved significantly. Conclusion Using PepBank as a model database, we show how to build a classification-aided retrieval system that gathers training data from the community, is completely controlled by the database, scales well with concurrent change events, and can be adapted to add text classification capability to other biomedical databases. The system can be accessed at . PMID:19799796

Classification and Subject Cataloguing Section. Bibliographic Control Division. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations, The Hague (Netherlands).

Papers on classification and subject cataloging which were presented at the 1983 International Federation of Library Associations (IFLA) conference include: (1) "PRECIS: Basic Principles, Function, and Use," in which Derek Austin (United Kingdom) describes the automated subject indexing system developed for use in the "British…

An Automated Slide Classification System at Georgia Tech

ERIC Educational Resources Information Center

LoPresti, Maryellen

1973-01-01

The Georgia Tech Architecture Library slide collection is being revolutionized by adapting the Santa Cruz Slide Classification System. The slide catalog record is being transferred inexpensively to tapes and updated by the computer. Computer programs print out indexes in any of fifteen different sort fields. (Author)

New Course Design: Classification Schemes and Information Architecture.

ERIC Educational Resources Information Center

Weinberg, Bella Hass

2002-01-01

Describes a course developed at St. John's University (New York) in the Division of Library and Information Science that relates traditional classification schemes to information architecture and Web sites. Highlights include functional aspects of information architecture, that is, the way content is structured; assignments; student reactions; and…

Information needs and information seeking in a biomedical research setting: a study of scientists and science administrators.

PubMed

Grefsheim, Suzanne F; Rankin, Jocelyn A

2007-10-01

An information needs study of clinical specialists and biomedical researchers was conducted at the US National Institutes of Health (NIH) to inform library services and contribute to a broader understanding of information use in academic and research settings. A random stratified sample by job category of 500 NIH scientists was surveyed by telephone by an independent consultant using a standardized information industry instrument, augmented with locally developed questions. Results were analyzed for statistical significance using t- tests and chi square. Findings were compared with published studies and an aggregated dataset of information users in business, government, and health care from Outsell. The study results highlighted similarities and differences with other studies and the industry standard, providing insights into user preferences, including new technologies. NIH scientists overwhelmingly used the NIH Library (424/500), began their searches at the library's Website rather than Google (P = or< 0.001), were likely to seek information themselves (474/500), and valued desktop resources and services. While NIH staff work in a unique setting, they share some information characteristics with other researchers. The findings underscored the need to continue assessing specialized needs and seek innovative solutions. The study led to improvements or expansion of services such as developing a Website search engine, organizing gene sequence data, and assisting with manuscript preparation.

Using UMLS to map from a library to a clinical classification: Improving the functionality of a digital library.

PubMed

Robinson, Judas; de Lusignan, Simon; Kostkova, Patty; Madge, Bruce

2006-01-01

The Metathesaurus of the Unified Medical Language System (UMLS) offers the possibility of mapping between various medical vocabularies. The Primary Care Electronic Library (PCEL) contains a database of over six thousand Medical Subject Headings (MeSH terms) describing the resources of the electronic library. We were interested to know if it was possible to map from MeSH to the Systemized Nomenclature of Medicine Clinical Terms (SNOMED CT). Such a mapping would aid healthcare professionals to retrieve relevant data from our digital library as it would enable links between clinical systems and indexed material.

Hybrid brain-computer interface for biomedical cyber-physical system application using wireless embedded EEG systems.

PubMed

Chai, Rifai; Naik, Ganesh R; Ling, Sai Ho; Nguyen, Hung T

2017-01-07

One of the key challenges of the biomedical cyber-physical system is to combine cognitive neuroscience with the integration of physical systems to assist people with disabilities. Electroencephalography (EEG) has been explored as a non-invasive method of providing assistive technology by using brain electrical signals. This paper presents a unique prototype of a hybrid brain computer interface (BCI) which senses a combination classification of mental task, steady state visual evoked potential (SSVEP) and eyes closed detection using only two EEG channels. In addition, a microcontroller based head-mounted battery-operated wireless EEG sensor combined with a separate embedded system is used to enhance portability, convenience and cost effectiveness. This experiment has been conducted with five healthy participants and five patients with tetraplegia. Generally, the results show comparable classification accuracies between healthy subjects and tetraplegia patients. For the offline artificial neural network classification for the target group of patients with tetraplegia, the hybrid BCI system combines three mental tasks, three SSVEP frequencies and eyes closed, with average classification accuracy at 74% and average information transfer rate (ITR) of the system of 27 bits/min. For the real-time testing of the intentional signal on patients with tetraplegia, the average success rate of detection is 70% and the speed of detection varies from 2 to 4 s.

Operations of the Biblioteca Regional de Medicina (BIREME).

PubMed Central

Neghme, A

1975-01-01

The operations and accomplishments of the Biblioteca Regional de Medicina (BIREME), the regional medical library of the Pan American Health Organization, are summarized. Aspects of BIREME's program which are described include: strengthening biomedical collections in Latin America, network organization, international cooperation, document and information delivery, bibliographic services, and educational efforts. Images PMID:1139061

42 CFR 63a.1 - To what programs do these regulations apply?

Code of Federal Regulations, 2011 CFR

2011-10-01

...); or (5) Research training support under the National Library of Medicine training grant programs (see... biomedical research endeavors, as authorized under section 307(b)(3) of the Act; (2) Grants awarded by NIH for research training with respect to the human diseases, disorders, or other aspects of human health...

42 CFR 63a.1 - To what programs do these regulations apply?

Code of Federal Regulations, 2013 CFR

2013-10-01

...); or (5) Research training support under the National Library of Medicine training grant programs (see... biomedical research endeavors, as authorized under section 307(b)(3) of the Act; (2) Grants awarded by NIH for research training with respect to the human diseases, disorders, or other aspects of human health...

42 CFR 63a.1 - To what programs do these regulations apply?

Code of Federal Regulations, 2012 CFR

2012-10-01

...); or (5) Research training support under the National Library of Medicine training grant programs (see... biomedical research endeavors, as authorized under section 307(b)(3) of the Act; (2) Grants awarded by NIH for research training with respect to the human diseases, disorders, or other aspects of human health...

42 CFR 63a.1 - To what programs do these regulations apply?

Code of Federal Regulations, 2014 CFR

2014-10-01

...); or (5) Research training support under the National Library of Medicine training grant programs (see... biomedical research endeavors, as authorized under section 307(b)(3) of the Act; (2) Grants awarded by NIH for research training with respect to the human diseases, disorders, or other aspects of human health...

Ebola Outbreak Response: The Role of Information Resources and the National Library of Medicine

PubMed Central

Love, Cynthia B.; Arnesen, Stacey J.; Phillips, Steven J.

2016-01-01

The US National Library of Medicine (NLM) offers Internet-based, no-cost resources useful for responding to the 2014 West Africa Ebola outbreak. Resources for health professionals, planners, responders, and researchers include PubMed, Disaster Lit, the Web page “Ebola Outbreak 2014: Information Resources,” and the Virus Variation database of sequences for Ebolavirus. In cooperation with participating publishers, NLM offers free access to full-text articles from over 650 biomedical journals and 4000 online reference books through the Emergency Access Initiative. At the start of a prolonged disaster event or disease outbreak, the documents and information of most immediate use may not be in the peer-reviewed biomedical journal literature. To maintain current awareness may require using any of the following: news outlets; social media; preliminary online data, maps, and situation reports; and documents published by nongovernmental organizations, international associations, and government agencies. Similar to the pattern of interest shown in the news and social media, use of NLM Ebola-related resources is also increasing since the start of the outbreak was first reported in March 2014 PMID:25325189

BioC implementations in Go, Perl, Python and Ruby.

PubMed

Liu, Wanli; Islamaj Doğan, Rezarta; Kwon, Dongseop; Marques, Hernani; Rinaldi, Fabio; Wilbur, W John; Comeau, Donald C

2014-01-01

As part of a communitywide effort for evaluating text mining and information extraction systems applied to the biomedical domain, BioC is focused on the goal of interoperability, currently a major barrier to wide-scale adoption of text mining tools. BioC is a simple XML format, specified by DTD, for exchanging data for biomedical natural language processing. With initial implementations in C++ and Java, BioC provides libraries of code for reading and writing BioC text documents and annotations. We extend BioC to Perl, Python, Go and Ruby. We used SWIG to extend the C++ implementation for Perl and one Python implementation. A second Python implementation and the Ruby implementation use native data structures and libraries. BioC is also implemented in the Google language Go. BioC modules are functional in all of these languages, which can facilitate text mining tasks. BioC implementations are freely available through the BioC site: http://bioc.sourceforge.net. Database URL: http://bioc.sourceforge.net/ Published by Oxford University Press 2014. This work is written by US Government employees and is in the public domain in the US.

Ebola outbreak response: the role of information resources and the National Library of Medicine.

PubMed

Love, Cynthia B; Arnesen, Stacey J; Phillips, Steven J

2015-02-01

The US National Library of Medicine (NLM) offers Internet-based, no-cost resources useful for responding to the 2014 West Africa Ebola outbreak. Resources for health professionals, planners, responders, and researchers include PubMed, Disaster Lit, the Web page "Ebola Outbreak 2014: Information Resources," and the Virus Variation database of sequences for Ebolavirus. In cooperation with participating publishers, NLM offers free access to full-text articles from over 650 biomedical journals and 4000 online reference books through the Emergency Access Initiative. At the start of a prolonged disaster event or disease outbreak, the documents and information of most immediate use may not be in the peer-reviewed biomedical journal literature. To maintain current awareness may require using any of the following: news outlets; social media; preliminary online data, maps, and situation reports; and documents published by nongovernmental organizations, international associations, and government agencies. Similar to the pattern of interest shown in the news and social media, use of NLM Ebola-related resources is also increasing since the start of the outbreak was first reported in March 2014.

Texture Classification by Texton: Statistical versus Binary

PubMed Central

Guo, Zhenhua; Zhang, Zhongcheng; Li, Xiu; Li, Qin; You, Jane

2014-01-01

Using statistical textons for texture classification has shown great success recently. The maximal response 8 (Statistical_MR8), image patch (Statistical_Joint) and locally invariant fractal (Statistical_Fractal) are typical statistical texton algorithms and state-of-the-art texture classification methods. However, there are two limitations when using these methods. First, it needs a training stage to build a texton library, thus the recognition accuracy will be highly depended on the training samples; second, during feature extraction, local feature is assigned to a texton by searching for the nearest texton in the whole library, which is time consuming when the library size is big and the dimension of feature is high. To address the above two issues, in this paper, three binary texton counterpart methods were proposed, Binary_MR8, Binary_Joint, and Binary_Fractal. These methods do not require any training step but encode local feature into binary representation directly. The experimental results on the CUReT, UIUC and KTH-TIPS databases show that binary texton could get sound results with fast feature extraction, especially when the image size is not big and the quality of image is not poor. PMID:24520346

Microbiological quality of indoor air in university libraries.

PubMed

Hayleeyesus, Samuel Fekadu; Manaye, Abayneh Melaku

2014-05-01

To evaluate the concentration of bacteria and fungi in the indoor environment of Jimma University libraries, so as to estimate the health hazard and to create standards for indoor air quality control. The microbial quality of indoor air of eight libraries of Jimma University was determined. The settle plate method using open Petri-dishes containing different culture media was employed to collect sample twice daily. Isolates were identified according to standard methods. The concentrations of bacteria and fungi aerosols in the indoor environment of the university libraries ranged between 367-2595 CFU/m(3). According to the sanitary standards classification of European Commission, almost all the libraries indoor air of Jimma University was heavily contaminated with bacteria and fungi. In spite of their major source difference, the average fungi density found in the indoor air of libraries did appear to follow the same trend with bacterial density (P=0.001). The bacteria isolates included Micrococcus sp., Staphylococcus aureus, Streptococcus pyogenes, Bacillus sp. and Neisseria sp. while Cladosporium sp., Alternaria sp., Penicillium sp. and Aspergillus sp. were the most isolated fungi. The indoor air of all libraries were in the range above highly contaminated according to European Commission classification and the most isolates are considered as potential candidates involved in the establishment of sick building syndromes and often associated with clinical manifestations like allergy, rhinitis, asthma and conjunctivitis. Thus, attention must be given to control those environmental factors which favor the growth and multiplication of microbes in indoor environment of libraries to safeguard the health of users and workers.

Report on Information Retrieval and Library Automation Studies.

ERIC Educational Resources Information Center

Alberta Univ., Edmonton. Dept. of Computing Science.

Short abstracts of works in progress or completed in the Department of Computing Science at the University of Alberta are presented under five major headings. The five categories are: Storage and search techniques for document data bases, Automatic classification, Study of indexing and classification languages through computer manipulation of data…

The World Bank Photo Library. A Report on Classification, Indexing, and Retrieval of Slide Collection; Organization and Circulation of Visual Materials and Matters Relating to Photo Library Administration.

ERIC Educational Resources Information Center

Bikshapathi, Adepu

The World Bank, a specialized agency of the United Nations, is devoted to promoting the economic development of its member nations. Its photo library, with a collection of nearly 25,000 black-and-white photographs and color slides, serves as a resource center for various activities of the Bank and other organizations. Intended as a background…

Twitter K-H networks in action: Advancing biomedical literature for drug search.

PubMed

Hamed, Ahmed Abdeen; Wu, Xindong; Erickson, Robert; Fandy, Tamer

2015-08-01

The importance of searching biomedical literature for drug interaction and side-effects is apparent. Current digital libraries (e.g., PubMed) suffer infrequent tagging and metadata annotation updates. Such limitations cause absence of linking literature to new scientific evidence. This demonstrates a great deal of challenges that stand in the way of scientists when searching biomedical repositories. In this paper, we present a network mining approach that provides a bridge for linking and searching drug-related literature. Our contributions here are two fold: (1) an efficient algorithm called HashPairMiner to address the run-time complexity issues demonstrated in its predecessor algorithm: HashnetMiner, and (2) a database of discoveries hosted on the web to facilitate literature search using the results produced by HashPairMiner. Though the K-H network model and the HashPairMiner algorithm are fairly young, their outcome is evidence of the considerable promise they offer to the biomedical science community in general and the drug research community in particular. Copyright © 2015 Elsevier Inc. All rights reserved.

Employing WebGL to develop interactive stereoscopic 3D content for use in biomedical visualization

NASA Astrophysics Data System (ADS)

Johnston, Semay; Renambot, Luc; Sauter, Daniel

2013-03-01

Web Graphics Library (WebGL), the forthcoming web standard for rendering native 3D graphics in a browser, represents an important addition to the biomedical visualization toolset. It is projected to become a mainstream method of delivering 3D online content due to shrinking support for third-party plug-ins. Additionally, it provides a virtual reality (VR) experience to web users accommodated by the growing availability of stereoscopic displays (3D TV, desktop, and mobile). WebGL's value in biomedical visualization has been demonstrated by applications for interactive anatomical models, chemical and molecular visualization, and web-based volume rendering. However, a lack of instructional literature specific to the field prevents many from utilizing this technology. This project defines a WebGL design methodology for a target audience of biomedical artists with a basic understanding of web languages and 3D graphics. The methodology was informed by the development of an interactive web application depicting the anatomy and various pathologies of the human eye. The application supports several modes of stereoscopic displays for a better understanding of 3D anatomical structures.

Uniform resolution of compact identifiers for biomedical data

PubMed Central

Wimalaratne, Sarala M.; Juty, Nick; Kunze, John; Janée, Greg; McMurry, Julie A.; Beard, Niall; Jimenez, Rafael; Grethe, Jeffrey S.; Hermjakob, Henning; Martone, Maryann E.; Clark, Tim

2018-01-01

Most biomedical data repositories issue locally-unique accessions numbers, but do not provide globally unique, machine-resolvable, persistent identifiers for their datasets, as required by publishers wishing to implement data citation in accordance with widely accepted principles. Local accessions may however be prefixed with a namespace identifier, providing global uniqueness. Such “compact identifiers” have been widely used in biomedical informatics to support global resource identification with local identifier assignment. We report here on our project to provide robust support for machine-resolvable, persistent compact identifiers in biomedical data citation, by harmonizing the Identifiers.org and N2T.net (Name-To-Thing) meta-resolvers and extending their capabilities. Identifiers.org services hosted at the European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), and N2T.net services hosted at the California Digital Library (CDL), can now resolve any given identifier from over 600 source databases to its original source on the Web, using a common registry of prefix-based redirection rules. We believe these services will be of significant help to publishers and others implementing persistent, machine-resolvable citation of research data. PMID:29737976

The commerce of ideas: Internets and Intranets.

PubMed

Frisse, M E

1996-07-01

Academic physicians pride themselves on their intelligent use of medical technology, their innovativeness, and their ability to market their excellence to the public. Although this pride is extraordinarily justified in the areas of clinical medicine, biomedical research, and health sciences education, academic physicians have less reason to be proud of their accomplishments in the area of information management. In years past, a lack of attention to coherent information management had few consequences so long as there were foci of excellence in clinical disciplines, libraries, core research laboratories, and selected training programs. But the widespread adoption of network-based communications has changed both the priorities of faculty and the information infrastructure necessary to maintain a competitive advantage. In the arena of health care information technology, many medical centers have chosen indiscriminate consumption over focused leadership. This essay speculates on how technologies based on the World Wide Web (WWW) may affect academic medicine through both the greater penetration of the Internet and a wider use of internal "intranets." The Internet is transforming the landscape of biomedical publishing, biomedical education, and the hospital library. The intranet is becoming a vital means of providing documents to support the administration of academic medicine and, in many circumstances, the delivery of patient-specific information. Although there is great potential for transformation, many academic medical centers have not yet fully demonstrated either the wisdom to advance a great information-technology vision or the will necessary to turn a vision into a coherent plan of action.

A game-based platform for crowd-sourcing biomedical image diagnosis and standardized remote training and education of diagnosticians

NASA Astrophysics Data System (ADS)

Feng, Steve; Woo, Minjae; Chandramouli, Krithika; Ozcan, Aydogan

2015-03-01

Over the past decade, crowd-sourcing complex image analysis tasks to a human crowd has emerged as an alternative to energy-inefficient and difficult-to-implement computational approaches. Following this trend, we have developed a mathematical framework for statistically combining human crowd-sourcing of biomedical image analysis and diagnosis through games. Using a web-based smart game (BioGames), we demonstrated this platform's effectiveness for telediagnosis of malaria from microscopic images of individual red blood cells (RBCs). After public release in early 2012 (http://biogames.ee.ucla.edu), more than 3000 gamers (experts and non-experts) used this BioGames platform to diagnose over 2800 distinct RBC images, marking them as positive (infected) or negative (non-infected). Furthermore, we asked expert diagnosticians to tag the same set of cells with labels of positive, negative, or questionable (insufficient information for a reliable diagnosis) and statistically combined their decisions to generate a gold standard malaria image library. Our framework utilized minimally trained gamers' diagnoses to generate a set of statistical labels with an accuracy that is within 98% of our gold standard image library, demonstrating the "wisdom of the crowd". Using the same image library, we have recently launched a web-based malaria training and educational game allowing diagnosticians to compare their performance with their peers. After diagnosing a set of ~500 cells per game, diagnosticians can compare their quantified scores against a leaderboard and view their misdiagnosed cells. Using this platform, we aim to expand our gold standard library with new RBC images and provide a quantified digital tool for measuring and improving diagnostician training globally.

Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications.

PubMed

Zhang, Yiyan; Xin, Yi; Li, Qin; Ma, Jianshe; Li, Shuai; Lv, Xiaodan; Lv, Weiqi

2017-11-02

Various kinds of data mining algorithms are continuously raised with the development of related disciplines. The applicable scopes and their performances of these algorithms are different. Hence, finding a suitable algorithm for a dataset is becoming an important emphasis for biomedical researchers to solve practical problems promptly. In this paper, seven kinds of sophisticated active algorithms, namely, C4.5, support vector machine, AdaBoost, k-nearest neighbor, naïve Bayes, random forest, and logistic regression, were selected as the research objects. The seven algorithms were applied to the 12 top-click UCI public datasets with the task of classification, and their performances were compared through induction and analysis. The sample size, number of attributes, number of missing values, and the sample size of each class, correlation coefficients between variables, class entropy of task variable, and the ratio of the sample size of the largest class to the least class were calculated to character the 12 research datasets. The two ensemble algorithms reach high accuracy of classification on most datasets. Moreover, random forest performs better than AdaBoost on the unbalanced dataset of the multi-class task. Simple algorithms, such as the naïve Bayes and logistic regression model are suitable for a small dataset with high correlation between the task and other non-task attribute variables. K-nearest neighbor and C4.5 decision tree algorithms perform well on binary- and multi-class task datasets. Support vector machine is more adept on the balanced small dataset of the binary-class task. No algorithm can maintain the best performance in all datasets. The applicability of the seven data mining algorithms on the datasets with different characteristics was summarized to provide a reference for biomedical researchers or beginners in different fields.

Comparison of seven protocols to identify fecal contamination sources using Escherichia coli

USGS Publications Warehouse

Stoeckel, D.M.; Mathes, M.V.; Hyer, K.E.; Hagedorn, C.; Kator, H.; Lukasik, J.; O'Brien, T. L.; Fenger, T.W.; Samadpour, M.; Strickler, K.M.; Wiggins, B.A.

2004-01-01

Microbial source tracking (MST) uses various approaches to classify fecal-indicator microorganisms to source hosts. Reproducibility, accuracy, and robustness of seven phenotypic and genotypic MST protocols were evaluated by use of Escherichia coli from an eight-host library of known-source isolates and a separate, blinded challenge library. In reproducibility tests, measuring each protocol's ability to reclassify blinded replicates, only one (pulsed-field gel electrophoresis; PFGE) correctly classified all test replicates to host species; three protocols classified 48-62% correctly, and the remaining three classified fewer than 25% correctly. In accuracy tests, measuring each protocol's ability to correctly classify new isolates, ribotyping with EcoRI and PvuII approached 100% correct classification but only 6% of isolates were classified; four of the other six protocols (antibiotic resistance analysis, PFGE, and two repetitive-element PCR protocols) achieved better than random accuracy rates when 30-100% of challenge isolates were classified. In robustness tests, measuring each protocol's ability to recognize isolates from nonlibrary hosts, three protocols correctly classified 33-100% of isolates as "unknown origin," whereas four protocols classified all isolates to a source category. A relevance test, summarizing interpretations for a hypothetical water sample containing 30 challenge isolates, indicated that false-positive classifications would hinder interpretations for most protocols. Study results indicate that more representation in known-source libraries and better classification accuracy would be needed before field application. Thorough reliability assessment of classification results is crucial before and during application of MST protocols.

Telecommunications and tomorrow

NASA Astrophysics Data System (ADS)

Hromocky, A.

1981-08-01

The various subject heading used by the Library of Congress, under which most books on telecommunications can be located in card, book, and online catalogs are listed. Recommended literature from the library's collections is cited in this noncomprehensive bibliography intended for those interested in studying the technological, social, and policy aspects of telecommunications. The library's classification number is given for the books, journal articles, government publications, conference proceedings, and technical reports, recommended all of which are listed by author entry. Abstracting and indexing services that cover relevant literature are included.

IFLA General Conference, 1985. Division of Bibliographic Control. Sections on Bibliography, Cataloging, and Classification. Papers.

ERIC Educational Resources Information Center

International Federation of Library Associations, The Hague (Netherlands).

Papers on cataloging and classification which were presented at the 1985 International Federation of Library Associations (IFLA) conference include: (1) "Online Cataloging at the Bibliotheque Nationale (Francoise Finelli and Serge Salomon, France); (2) "Development of National Press Repertoire in the Condition of Multinational State: Its…

A Classification Scheme for Career Education Resource Materials.

ERIC Educational Resources Information Center

Koontz, Ronald G.

The introductory section of the paper expresses its purpose: to devise a classification scheme for career education resource material, which will be used to develop the USOE Office of Career Education Resource Library and will be disseminated to interested State departments of education and local school districts to assist them in classifying…

Use of the Dewey Decimal Classification in the United States and Canada.

ERIC Educational Resources Information Center

Comaromi, John P.

1978-01-01

A summary of use of DDC in U.S. and Canadian libraries shows that 85 percent of all libraries use DDC; of these, 75 percent use the most recent full or abridged edition. Divisions needing revision are listed and discussed. Librarians want continuous revision but they do not want numerical designation meanings changed. (Author/MBR)

United States societal experiments via the Communications Technology Satellite

NASA Technical Reports Server (NTRS)

Donoughe, P. L.

1976-01-01

After a brief description of the Communication Technology Satellite and its U.S. coverage, the U.S. societal experiments via the CTS are discussed. These include education (college curriculum sharing, and project interchange), health care (biomedical communications, health communications, and communication support for decentralized education), and community and special experiments (satellite library information network, and transportable earth terminal).

MeSH-informed enrichment analysis and MeSH-guided semantic similarity among functional terms and gene products in chicken

USDA-ARS?s Scientific Manuscript database

Such Biomedical vocabularies and ontologies aid in recapitulating biological knowledge. The annotation of gene products is mainly accelerated by Gene Ontology (GO) and more recently by Medical Subject Headings (MeSH). MeSH is the National Library of Medicine's controlled vocabulary and it is making ...

Guide to Facilities, Capabilities, and Programs of Medical Schools in the United States.

ERIC Educational Resources Information Center

Mayeda, Tadashi A.

The information in this document was gathered to aid analysts and designers of the proposed Biomedical Communications Network (BCN) of the National Library of Medicine. The current capabilities and facilities of medical schools in areas of activity impinging on the concept and role of BCN are summarized. Medical schools are listed geographically…

An Investigation of the Educational Needs of Health Sciences Library Manpower II. Health-Related Institutions and Their Library Resources *

PubMed Central

Rothenberg, Lesliebeth; Rees, Alan M.; Kronick, David A.

1970-01-01

As part of an investigation of health sciences library manpower, the universe of health-related institutions and programs (excluding hospitals) was surveyed by postcard questionnaire to produce an inventory and description of libraries providing services to these institutions and programs. Seventysix percent (5,215) of the institutions reported access to library resources, indicating usage of some 2,207 non-hospital libraries. Eighty percent (2,431) of the institutions reported that the library used was “within” their own institution; 20 percent (608) noted that the library was “outside” of their institution. The distribution of health-related institutions and libraries is shown by RML districts, together with relevant census data. A classification of libraries, based on the degree of involvement of the libraries' facilities, resources and personnel in supplying services to health-related institutions, was developed. It is concluded that projections of manpower needs should take into account institutions and programs not at present possessing health sciences libraries as well as documented demand in existing health sciences libraries. PMID:5496236

An assessment of collections at the University of Wisconsin-Madison Health Sciences Libraries: drug resistance.

PubMed Central

Bergen, P L; Nemec, D

1999-01-01

In December 1997, the authors completed an in-depth collection assessment project at the University of Wisconsin-Madison Health Sciences Libraries. The purpose was to develop a framework for future collection assessment projects by completing a multifaceted evaluation of the libraries' monograph and serial collections in the subject area of drug resistance. Evaluators adapted and synthesized several traditional collection assessment tools, including shelflist measurement, bibliography and standard list checking, and citation analysis. Throughout the project, evaluators explored strategies to overcome some of the problems inherent in the application of traditional collection assessment methods to the evaluation of biomedical collections. Their efforts resulted in the identification of standard monographs and core journals for the subject area, a measurement of the collections' strength relative to the collections of benchmark libraries, and a foundation for future collection development within the subject area. The project's primary outcome was a collection assessment methodology that has potential application to both internal and cooperative collection development in medical, pharmaceutical, and other health sciences libraries. PMID:9934527

Scientific writing and editing: a new role for the library.

PubMed Central

Stephens, P A; Campbell, J M

1995-01-01

Traditional library instruction programs teach scientists how to find and manage information, but not how to report their research findings effectively. Since 1990, the William H. Welch Medical Library has sponsored classes on scientific writing and, since 1991, has offered a fee-based editing service for affiliates of the Johns Hopkins Medical Institutions. These programs were designed to fill an educational gap: Although formal instruction was offered to support other phases of the scientific communication process, the medical institutions had no central resource designed to help scientists develop and improve their writing skills. The establishment of such a resource at Welch has been well received by the community. Attendance at classes has grown steadily, and in 1993 a credit course on biomedical writing was added to the curriculum. The editing service, introduced in late 1991, has generated more requests for assistance than can be handled by the library's editor. This service not only extends the library's educational outreach but also generates a revenue stream. The Welch program in scientific writing and editing, or elements of it, could provide a model for other academic medical libraries interested in moving in this new direction. PMID:8547910

Semantic Similarity in Biomedical Ontologies

PubMed Central

Pesquita, Catia; Faria, Daniel; Falcão, André O.; Lord, Phillip; Couto, Francisco M.

2009-01-01

In recent years, ontologies have become a mainstream topic in biomedical research. When biological entities are described using a common schema, such as an ontology, they can be compared by means of their annotations. This type of comparison is called semantic similarity, since it assesses the degree of relatedness between two entities by the similarity in meaning of their annotations. The application of semantic similarity to biomedical ontologies is recent; nevertheless, several studies have been published in the last few years describing and evaluating diverse approaches. Semantic similarity has become a valuable tool for validating the results drawn from biomedical studies such as gene clustering, gene expression data analysis, prediction and validation of molecular interactions, and disease gene prioritization. We review semantic similarity measures applied to biomedical ontologies and propose their classification according to the strategies they employ: node-based versus edge-based and pairwise versus groupwise. We also present comparative assessment studies and discuss the implications of their results. We survey the existing implementations of semantic similarity measures, and we describe examples of applications to biomedical research. This will clarify how biomedical researchers can benefit from semantic similarity measures and help them choose the approach most suitable for their studies. Biomedical ontologies are evolving toward increased coverage, formality, and integration, and their use for annotation is increasingly becoming a focus of both effort by biomedical experts and application of automated annotation procedures to create corpora of higher quality and completeness than are currently available. Given that semantic similarity measures are directly dependent on these evolutions, we can expect to see them gaining more relevance and even becoming as essential as sequence similarity is today in biomedical research. PMID:19649320

Detection of interaction articles and experimental methods in biomedical literature.

PubMed

Schneider, Gerold; Clematide, Simon; Rinaldi, Fabio

2011-10-03

This article describes the approaches taken by the OntoGene group at the University of Zurich in dealing with two tasks of the BioCreative III competition: classification of articles which contain curatable protein-protein interactions (PPI-ACT) and extraction of experimental methods (PPI-IMT). Two main achievements are described in this paper: (a) a system for document classification which crucially relies on the results of an advanced pipeline of natural language processing tools; (b) a system which is capable of detecting all experimental methods mentioned in scientific literature, and listing them with a competitive ranking (AUC iP/R > 0.5). The results of the BioCreative III shared evaluation clearly demonstrate that significant progress has been achieved in the domain of biomedical text mining in the past few years. Our own contribution, together with the results of other participants, provides evidence that natural language processing techniques have become by now an integral part of advanced text mining approaches.

Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data.

PubMed

Li, Jiuyong; Liu, Lin; Liu, Jixue; Green, Ryan

2017-12-01

It is common that a trained classification model is applied to the operating data that is deviated from the training data because of noise. This paper will test an ensemble method, Diversified Multiple Tree (DMT), on its capability for classifying instances in a new laboratory using the classifier built on the instances of another laboratory. DMT is tested on three real world biomedical data sets from different laboratories in comparison with four benchmark ensemble methods, AdaBoost, Bagging, Random Forests, and Random Trees. Experiments have also been conducted on studying the limitation of DMT and its possible variations. Experimental results show that DMT is significantly more accurate than other benchmark ensemble classifiers on classifying new instances of a different laboratory from the laboratory where instances are used to build the classifier. This paper demonstrates that an ensemble classifier, DMT, is more robust in classifying noisy data than other widely used ensemble methods. DMT works on the data set that supports multiple simple trees.

Progress toward automatic classification of human brown adipose tissue using biomedical imaging

NASA Astrophysics Data System (ADS)

Gifford, Aliya; Towse, Theodore F.; Walker, Ronald C.; Avison, Malcom J.; Welch, E. B.

2015-03-01

Brown adipose tissue (BAT) is a small but significant tissue, which may play an important role in obesity and the pathogenesis of metabolic syndrome. Interest in studying BAT in adult humans is increasing, but in order to quantify BAT volume in a single measurement or to detect changes in BAT over the time course of a longitudinal experiment, BAT needs to first be reliably differentiated from surrounding tissue. Although the uptake of the radiotracer 18F-Fluorodeoxyglucose (18F-FDG) in adipose tissue on positron emission tomography (PET) scans following cold exposure is accepted as an indication of BAT, it is not a definitive indicator, and to date there exists no standardized method for segmenting BAT. Consequently, there is a strong need for robust automatic classification of BAT based on properties measured with biomedical imaging. In this study we begin the process of developing an automated segmentation method based on properties obtained from fat-water MRI and PET-CT scans acquired on ten healthy adult subjects.

Union List Development: Control of the Serial Literature *

PubMed Central

Sawyers, Elizabeth J.

1972-01-01

The discussion covers the development of a national union list or finding tool for biomedical serial holdings and its integration into the National Serials Data Program, which is being developed under the auspices of the three National Libraries. Specific topics which are covered include: (1) Selection of the Union Catalog of Medical Periodicals (UCMP) as the basis for a biomedical list and the status of that activity; (2) discussion of the various methods of recording holdings; (3) status of the National Serials Data Program and a discussion of its relationship to the UCMP file; and (4) status of the Standard Serial Number and its relationship to other existing coding schemes for serial titles. PMID:5054307

A highly functional synthetic phage display library containing over 40 billion human antibody clones.

PubMed

Weber, Marcel; Bujak, Emil; Putelli, Alessia; Villa, Alessandra; Matasci, Mattia; Gualandi, Laura; Hemmerle, Teresa; Wulhfard, Sarah; Neri, Dario

2014-01-01

Several synthetic antibody phage display libraries have been created and used for the isolation of human monoclonal antibodies. The performance of antibody libraries, which is usually measured in terms of their ability to yield high-affinity binding specificities against target proteins of interest, depends both on technical aspects (such as library size and quality of cloning) and on design features (which influence the percentage of functional clones in the library and their ability to be used for practical applications). Here, we describe the design, construction and characterization of a combinatorial phage display library, comprising over 40 billion human antibody clones in single-chain fragment variable (scFv) format. The library was designed with the aim to obtain highly stable antibody clones, which can be affinity-purified on protein A supports, even when used in scFv format. The library was found to be highly functional, as >90% of randomly selected clones expressed the corresponding antibody. When selected against more than 15 antigens from various sources, the library always yielded specific and potent binders, at a higher frequency compared to previous antibody libraries. To demonstrate library performance in practical biomedical research projects, we isolated the human antibody G5, which reacts both against human and murine forms of the alternatively spliced BCD segment of tenascin-C, an extracellular matrix component frequently over-expressed in cancer and in chronic inflammation. The new library represents a useful source of binding specificities, both for academic research and for the development of antibody-based therapeutics.

A Highly Functional Synthetic Phage Display Library Containing over 40 Billion Human Antibody Clones

PubMed Central

Weber, Marcel; Bujak, Emil; Putelli, Alessia; Villa, Alessandra; Matasci, Mattia; Gualandi, Laura; Hemmerle, Teresa; Wulhfard, Sarah; Neri, Dario

2014-01-01

Several synthetic antibody phage display libraries have been created and used for the isolation of human monoclonal antibodies. The performance of antibody libraries, which is usually measured in terms of their ability to yield high-affinity binding specificities against target proteins of interest, depends both on technical aspects (such as library size and quality of cloning) and on design features (which influence the percentage of functional clones in the library and their ability to be used for practical applications). Here, we describe the design, construction and characterization of a combinatorial phage display library, comprising over 40 billion human antibody clones in single-chain fragment variable (scFv) format. The library was designed with the aim to obtain highly stable antibody clones, which can be affinity-purified on protein A supports, even when used in scFv format. The library was found to be highly functional, as >90% of randomly selected clones expressed the corresponding antibody. When selected against more than 15 antigens from various sources, the library always yielded specific and potent binders, at a higher frequency compared to previous antibody libraries. To demonstrate library performance in practical biomedical research projects, we isolated the human antibody G5, which reacts both against human and murine forms of the alternatively spliced BCD segment of tenascin-C, an extracellular matrix component frequently over-expressed in cancer and in chronic inflammation. The new library represents a useful source of binding specificities, both for academic research and for the development of antibody-based therapeutics. PMID:24950200

Evaluation of antibiotic resistance analysis and ribotyping for identification of faecal pollution sources in an urban watershed.

PubMed

Moore, D F; Harwood, V J; Ferguson, D M; Lukasik, J; Hannah, P; Getrich, M; Brownell, M

2005-01-01

The accuracy of ribotyping and antibiotic resistance analysis (ARA) for prediction of sources of faecal bacterial pollution in an urban southern California watershed was determined using blinded proficiency samples. Antibiotic resistance patterns and HindIII ribotypes of Escherichia coli (n = 997), and antibiotic resistance patterns of Enterococcus spp. (n = 3657) were used to construct libraries from sewage samples and from faeces of seagulls, dogs, cats, horses and humans within the watershed. The three libraries were analysed to determine the accuracy of host source prediction. The internal accuracy of the libraries (average rate of correct classification, ARCC) with six source categories was 44% for E. coli ARA, 69% for E. coli ribotyping and 48% for Enterococcus ARA. Each library's predictive ability towards isolates that were not part of the library was determined using a blinded proficiency panel of 97 E. coli and 99 Enterococcus isolates. Twenty-eight per cent (by ARA) and 27% (by ribotyping) of the E. coli proficiency isolates were assigned to the correct source category. Sixteen per cent were assigned to the same source category by both methods, and 6% were assigned to the correct category. Addition of 2480 E. coli isolates to the ARA library did not improve the ARCC or proficiency accuracy. In contrast, 45% of Enterococcus proficiency isolates were correctly identified by ARA. None of the methods performed well enough on the proficiency panel to be judged ready for application to environmental samples. Most microbial source tracking (MST) studies published have demonstrated library accuracy solely by the internal ARCC measurement. Low rates of correct classification for E. coli proficiency isolates compared with the ARCCs of the libraries indicate that testing of bacteria from samples that are not represented in the library, such as blinded proficiency samples, is necessary to accurately measure predictive ability. The library-based MST methods used in this study may not be suited for determination of the source(s) of faecal pollution in large, urban watersheds.

Collaboration between the University of Michigan Taubman Health Sciences library and the University of Michigan Medical School Office of Research.

PubMed

Black, Christine; Harris, Bethany; Mahraj, Katy; Schnitzer, Anna Ercoli; Rosenzweig, Merle

2013-01-01

Librarians have traditionally facilitated research development resulting in grants through performing biomedical literature searches for researchers. The librarians at the Taubman Health Sciences Library of the University of Michigan have taken additional steps forward by instituting a proactive approach to assisting investigators. To accomplish this, the librarians have taken part in a collaborative effort with the University of Michigan Medical School Office of Research. Through this partnership, both units have created and adopted various techniques intended to facilitate the submission of grants, thus allowing researchers more time to conduct their primary activities.

Analysis of Recorded Biomedical Book and Journal Use in the Yale Medical Library Part I: Date and Subject Relations*

PubMed Central

Stangl, Peter; Kilgour, Frederick G.

1967-01-01

Analysis of book and journal circulation is based on cancelled charge slips collected over a one-year period in the Yale Medical Library. About two-fifths of material circulated were monographs. Books and journals in seven subject fields provided over half of the circulation. Approximately two-thirds of both books and journals used had been published during the most recent nine years. A subject-by-subject examination of the ratio of books to journals circulating revealed that, in subjects where proportionally more journals than books were taken out of the Library, books were of more recent imprint dates than were journals, contrary to the overall pattern. Date distribution of books and journals by subject was also studied. Results are illustrated with graphs and tables. PMID:6041834

Rapid automated classification of anesthetic depth levels using GPU based parallelization of neural networks.

PubMed

Peker, Musa; Şen, Baha; Gürüler, Hüseyin

2015-02-01

The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating classification algorithms is important for the rapid solution of problems in the field of biomedical signal processing. However numerous, time-consuming mathematical operations are required when training and testing stages of the classification algorithms, especially in neural networks. In this study, to accelerate the process, parallel programming and computing platform (Nvidia CUDA) facilitates dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU) was utilized. The system was employed to detect anesthetic depth level on related electroencephalogram (EEG) data set. This dataset is rather complex and large. Moreover, the achieving more anesthetic levels with rapid response is critical in anesthesia. The proposed parallelization method yielded high accurate classification results in a faster time.

IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine.

PubMed

Domínguez, César; Heras, Jónathan; Pascual, Vico

2017-05-01

The effective processing of biomedical images usually requires the interoperability of diverse software tools that have different aims but are complementary. The goal of this work is to develop a bridge to connect two of those tools: ImageJ, a program for image analysis in life sciences, and OpenCV, a computer vision and machine learning library. Based on a thorough analysis of ImageJ and OpenCV, we detected the features of these systems that could be enhanced, and developed a library to combine both tools, taking advantage of the strengths of each system. The library was implemented on top of the SciJava converter framework. We also provide a methodology to use this library. We have developed the publicly available library IJ-OpenCV that can be employed to create applications combining features from both ImageJ and OpenCV. From the perspective of ImageJ developers, they can use IJ-OpenCV to easily create plugins that use any functionality provided by the OpenCV library and explore different alternatives. From the perspective of OpenCV developers, this library provides a link to the ImageJ graphical user interface and all its features to handle regions of interest. The IJ-OpenCV library bridges the gap between ImageJ and OpenCV, allowing the connection and the cooperation of these two systems. Copyright © 2017 Elsevier Ltd. All rights reserved.

Computer-aided diagnosis system: a Bayesian hybrid classification method.

PubMed

Calle-Alonso, F; Pérez, C J; Arias-Nicolás, J P; Martín, J

2013-10-01

A novel method to classify multi-class biomedical objects is presented. The method is based on a hybrid approach which combines pairwise comparison, Bayesian regression and the k-nearest neighbor technique. It can be applied in a fully automatic way or in a relevance feedback framework. In the latter case, the information obtained from both an expert and the automatic classification is iteratively used to improve the results until a certain accuracy level is achieved, then, the learning process is finished and new classifications can be automatically performed. The method has been applied in two biomedical contexts by following the same cross-validation schemes as in the original studies. The first one refers to cancer diagnosis, leading to an accuracy of 77.35% versus 66.37%, originally obtained. The second one considers the diagnosis of pathologies of the vertebral column. The original method achieves accuracies ranging from 76.5% to 96.7%, and from 82.3% to 97.1% in two different cross-validation schemes. Even with no supervision, the proposed method reaches 96.71% and 97.32% in these two cases. By using a supervised framework the achieved accuracy is 97.74%. Furthermore, all abnormal cases were correctly classified. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Text categorization of biomedical data sets using graph kernels and a controlled vocabulary.

PubMed

Bleik, Said; Mishra, Meenakshi; Huan, Jun; Song, Min

2013-01-01

Recently, graph representations of text have been showing improved performance over conventional bag-of-words representations in text categorization applications. In this paper, we present a graph-based representation for biomedical articles and use graph kernels to classify those articles into high-level categories. In our representation, common biomedical concepts and semantic relationships are identified with the help of an existing ontology and are used to build a rich graph structure that provides a consistent feature set and preserves additional semantic information that could improve a classifier's performance. We attempt to classify the graphs using both a set-based graph kernel that is capable of dealing with the disconnected nature of the graphs and a simple linear kernel. Finally, we report the results comparing the classification performance of the kernel classifiers to common text-based classifiers.

Leveraging Wikipedia knowledge to classify multilingual biomedical documents.

PubMed

Antonio Mouriño García, Marcos; Pérez Rodríguez, Roberto; Anido Rifón, Luis

2018-05-02

This article presents a classifier that leverages Wikipedia knowledge to represent documents as vectors of concepts weights, and analyses its suitability for classifying biomedical documents written in any language when it is trained only with English documents. We propose the cross-language concept matching technique, which relies on Wikipedia interlanguage links to convert concept vectors between languages. The performance of the classifier is compared to a classifier based on machine translation, and two classifiers based on MetaMap. To perform the experiments, we created two multilingual corpus. The first one, Multi-Lingual UVigoMED (ML-UVigoMED) is composed of 23,647 Wikipedia documents about biomedical topics written in English, German, French, Spanish, Italian, Galician, Romanian, and Icelandic. The second one, English-French-Spanish-German UVigoMED (EFSG-UVigoMED) is composed of 19,210 biomedical abstract extracted from MEDLINE written in English, French, Spanish, and German. The performance of the approach proposed is superior to any of the state-of-the art classifier in the benchmark. We conclude that leveraging Wikipedia knowledge is of great advantage in tasks of multilingual classification of biomedical documents. Copyright © 2018 Elsevier B.V. All rights reserved.

[Big data, medical language and biomedical terminology systems].

PubMed

Schulz, Stefan; López-García, Pablo

2015-08-01

A variety of rich terminology systems, such as thesauri, classifications, nomenclatures and ontologies support information and knowledge processing in health care and biomedical research. Nevertheless, human language, manifested as individually written texts, persists as the primary carrier of information, in the description of disease courses or treatment episodes in electronic medical records, and in the description of biomedical research in scientific publications. In the context of the discussion about big data in biomedicine, we hypothesize that the abstraction of the individuality of natural language utterances into structured and semantically normalized information facilitates the use of statistical data analytics to distil new knowledge out of textual data from biomedical research and clinical routine. Computerized human language technologies are constantly evolving and are increasingly ready to annotate narratives with codes from biomedical terminology. However, this depends heavily on linguistic and terminological resources. The creation and maintenance of such resources is labor-intensive. Nevertheless, it is sensible to assume that big data methods can be used to support this process. Examples include the learning of hierarchical relationships, the grouping of synonymous terms into concepts and the disambiguation of homonyms. Although clear evidence is still lacking, the combination of natural language technologies, semantic resources, and big data analytics is promising.

Classification Systems Used in Illinois Public Community College Learning Resource Centers.

ERIC Educational Resources Information Center

Johnson, Catherine J.

Using a survey to identify the classification systems employed in Illinois public community college instructional materials centers, this study considered three questions: Was there a trend developing in the use of the Library of Congress (LC) system? What factors influenced this trend? Was this trend more evident in large centers than in small…

Rapid identification and classification of Listeria spp. and serotype assignment of Listeria monocytogenes using fourier transform-infrared spectroscopy and artificial neural network analysis

USDA-ARS?s Scientific Manuscript database

The use of Fourier Transform-Infrared Spectroscopy (FT-IR) in conjunction with Artificial Neural Network software, NeuroDeveloper™ was examined for the rapid identification and classification of Listeria species and serotyping of Listeria monocytogenes. A spectral library was created for 245 strains...

Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering.

PubMed

Nahid, Abdullah-Al; Mehrabi, Mohamad Ali; Kong, Yinan

2018-01-01

Breast Cancer is a serious threat and one of the largest causes of death of women throughout the world. The identification of cancer largely depends on digital biomedical photography analysis such as histopathological images by doctors and physicians. Analyzing histopathological images is a nontrivial task, and decisions from investigation of these kinds of images always require specialised knowledge. However, Computer Aided Diagnosis (CAD) techniques can help the doctor make more reliable decisions. The state-of-the-art Deep Neural Network (DNN) has been recently introduced for biomedical image analysis. Normally each image contains structural and statistical information. This paper classifies a set of biomedical breast cancer images (BreakHis dataset) using novel DNN techniques guided by structural and statistical information derived from the images. Specifically a Convolutional Neural Network (CNN), a Long-Short-Term-Memory (LSTM), and a combination of CNN and LSTM are proposed for breast cancer image classification. Softmax and Support Vector Machine (SVM) layers have been used for the decision-making stage after extracting features utilising the proposed novel DNN models. In this experiment the best Accuracy value of 91.00% is achieved on the 200x dataset, the best Precision value 96.00% is achieved on the 40x dataset, and the best F -Measure value is achieved on both the 40x and 100x datasets.

A novel artificial neural network method for biomedical prediction based on matrix pseudo-inversion.

PubMed

Cai, Binghuang; Jiang, Xia

2014-04-01

Biomedical prediction based on clinical and genome-wide data has become increasingly important in disease diagnosis and classification. To solve the prediction problem in an effective manner for the improvement of clinical care, we develop a novel Artificial Neural Network (ANN) method based on Matrix Pseudo-Inversion (MPI) for use in biomedical applications. The MPI-ANN is constructed as a three-layer (i.e., input, hidden, and output layers) feed-forward neural network, and the weights connecting the hidden and output layers are directly determined based on MPI without a lengthy learning iteration. The LASSO (Least Absolute Shrinkage and Selection Operator) method is also presented for comparative purposes. Single Nucleotide Polymorphism (SNP) simulated data and real breast cancer data are employed to validate the performance of the MPI-ANN method via 5-fold cross validation. Experimental results demonstrate the efficacy of the developed MPI-ANN for disease classification and prediction, in view of the significantly superior accuracy (i.e., the rate of correct predictions), as compared with LASSO. The results based on the real breast cancer data also show that the MPI-ANN has better performance than other machine learning methods (including support vector machine (SVM), logistic regression (LR), and an iterative ANN). In addition, experiments demonstrate that our MPI-ANN could be used for bio-marker selection as well. Copyright © 2013 Elsevier Inc. All rights reserved.

McTwo: a two-step feature selection algorithm based on maximal information coefficient.

PubMed

Ge, Ruiquan; Zhou, Manli; Luo, Youxi; Meng, Qinghan; Mai, Guoqin; Ma, Dongli; Wang, Guoqing; Zhou, Fengfeng

2016-03-23

High-throughput bio-OMIC technologies are producing high-dimension data from bio-samples at an ever increasing rate, whereas the training sample number in a traditional experiment remains small due to various difficulties. This "large p, small n" paradigm in the area of biomedical "big data" may be at least partly solved by feature selection algorithms, which select only features significantly associated with phenotypes. Feature selection is an NP-hard problem. Due to the exponentially increased time requirement for finding the globally optimal solution, all the existing feature selection algorithms employ heuristic rules to find locally optimal solutions, and their solutions achieve different performances on different datasets. This work describes a feature selection algorithm based on a recently published correlation measurement, Maximal Information Coefficient (MIC). The proposed algorithm, McTwo, aims to select features associated with phenotypes, independently of each other, and achieving high classification performance of the nearest neighbor algorithm. Based on the comparative study of 17 datasets, McTwo performs about as well as or better than existing algorithms, with significantly reduced numbers of selected features. The features selected by McTwo also appear to have particular biomedical relevance to the phenotypes from the literature. McTwo selects a feature subset with very good classification performance, as well as a small feature number. So McTwo may represent a complementary feature selection algorithm for the high-dimensional biomedical datasets.

NLM Web Resources for Environmental Health and Biomedical Research

DOE Office of Scientific and Technical Information (OSTI.GOV)

Foster, R.

2010-09-12

The National Library of Medicine (NLM) is sponsoring this course to increase awareness of the availability and value of NLM’s online environmental health and toxicology information resources that provide invaluable tools to address these issues—for professionals and consumers alike. Participants will receive hands-on practice with selected NLM resources, and demonstrations of other valuable resources will be provided.

Applicability of mathematical modeling to problems of environmental physiology

NASA Technical Reports Server (NTRS)

White, Ronald J.; Lujan, Barbara F.; Leonard, Joel I.; Srinivasan, R. Srini

1988-01-01

The paper traces the evolution of mathematical modeling and systems analysis from terrestrial research to research related to space biomedicine and back again to terrestrial research. Topics covered include: power spectral analysis of physiological signals; pattern recognition models for detection of disease processes; and, computer-aided diagnosis programs used in conjunction with a special on-line biomedical computer library.

An Interactive Iterative Method for Electronic Searching of Large Literature Databases

ERIC Educational Resources Information Center

Hernandez, Marco A.

2013-01-01

PubMed® is an on-line literature database hosted by the U.S. National Library of Medicine. Containing over 21 million citations for biomedical literature--both abstracts and full text--in the areas of the life sciences, behavioral studies, chemistry, and bioengineering, PubMed® represents an important tool for researchers. PubMed® searches return…

Evaluating performance of biomedical image retrieval systems – an overview of the medical image retrieval task at ImageCLEF 2004–2013

PubMed Central

Kalpathy-Cramer, Jayashree; de Herrera, Alba García Seco; Demner-Fushman, Dina; Antani, Sameer; Bedrick, Steven; Müller, Henning

2014-01-01

Medical image retrieval and classification have been extremely active research topics over the past 15 years. With the ImageCLEF benchmark in medical image retrieval and classification a standard test bed was created that allows researchers to compare their approaches and ideas on increasingly large and varied data sets including generated ground truth. This article describes the lessons learned in ten evaluations campaigns. A detailed analysis of the data also highlights the value of the resources created. PMID:24746250

Different approaches for identifying important concepts in probabilistic biomedical text summarization.

PubMed

Moradi, Milad; Ghadiri, Nasser

2018-01-01

Automatic text summarization tools help users in the biomedical domain to acquire their intended information from various textual resources more efficiently. Some of biomedical text summarization systems put the basis of their sentence selection approach on the frequency of concepts extracted from the input text. However, it seems that exploring other measures rather than the raw frequency for identifying valuable contents within an input document, or considering correlations existing between concepts, may be more useful for this type of summarization. In this paper, we describe a Bayesian summarization method for biomedical text documents. The Bayesian summarizer initially maps the input text to the Unified Medical Language System (UMLS) concepts; then it selects the important ones to be used as classification features. We introduce six different feature selection approaches to identify the most important concepts of the text and select the most informative contents according to the distribution of these concepts. We show that with the use of an appropriate feature selection approach, the Bayesian summarizer can improve the performance of biomedical summarization. Using the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) toolkit, we perform extensive evaluations on a corpus of scientific papers in the biomedical domain. The results show that when the Bayesian summarizer utilizes the feature selection methods that do not use the raw frequency, it can outperform the biomedical summarizers that rely on the frequency of concepts, domain-independent and baseline methods. Copyright © 2017 Elsevier B.V. All rights reserved.

The Unified Medical Language System (UMLS): integrating biomedical terminology

PubMed Central

Bodenreider, Olivier

2004-01-01

The Unified Medical Language System (http://umlsks.nlm.nih.gov) is a repository of biomedical vocabularies developed by the US National Library of Medicine. The UMLS integrates over 2 million names for some 900 000 concepts from more than 60 families of biomedical vocabularies, as well as 12 million relations among these concepts. Vocabularies integrated in the UMLS Metathesaurus include the NCBI taxonomy, Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge Base. UMLS concepts are not only inter-related, but may also be linked to external resources such as GenBank. In addition to data, the UMLS includes tools for customizing the Metathesaurus (MetamorphoSys), for generating lexical variants of concept names (lvg) and for extracting UMLS concepts from text (MetaMap). The UMLS knowledge sources are updated quarterly. All vocabularies are available at no fee for research purposes within an institution, but UMLS users are required to sign a license agreement. The UMLS knowledge sources are distributed on CD-ROM and by FTP. PMID:14681409

The Unified Medical Language System (UMLS): integrating biomedical terminology.

PubMed

Bodenreider, Olivier

2004-01-01

The Unified Medical Language System (http://umlsks.nlm.nih.gov) is a repository of biomedical vocabularies developed by the US National Library of Medicine. The UMLS integrates over 2 million names for some 900,000 concepts from more than 60 families of biomedical vocabularies, as well as 12 million relations among these concepts. Vocabularies integrated in the UMLS Metathesaurus include the NCBI taxonomy, Gene Ontology, the Medical Subject Headings (MeSH), OMIM and the Digital Anatomist Symbolic Knowledge Base. UMLS concepts are not only inter-related, but may also be linked to external resources such as GenBank. In addition to data, the UMLS includes tools for customizing the Metathesaurus (MetamorphoSys), for generating lexical variants of concept names (lvg) and for extracting UMLS concepts from text (MetaMap). The UMLS knowledge sources are updated quarterly. All vocabularies are available at no fee for research purposes within an institution, but UMLS users are required to sign a license agreement. The UMLS knowledge sources are distributed on CD-ROM and by FTP.

Developing the FARSEEING Taxonomy of Technologies: Classification and description of technology use (including ICT) in falls prevention studies.

PubMed

Boulton, Elisabeth; Hawley-Hague, Helen; Vereijken, Beatrix; Clifford, Amanda; Guldemond, Nick; Pfeiffer, Klaus; Hall, Alex; Chesani, Federico; Mellone, Sabato; Bourke, Alan; Todd, Chris

2016-06-01

Recent Cochrane reviews on falls and fall prevention have shown that it is possible to prevent falls in older adults living in the community and in care facilities. Technologies aimed at fall detection, assessment, prediction and prevention are emerging, yet there has been no consistency in describing or reporting on interventions using technologies. With the growth of eHealth and data driven interventions, a common language and classification is required. The FARSEEING Taxonomy of Technologies was developed as a tool for those in the field of biomedical informatics to classify and characterise components of studies and interventions. The Taxonomy Development Group (TDG) comprised experts from across Europe. Through face-to-face meetings and contributions via email, five domains were developed, modified and agreed: Approach; Base; Components of outcome measures; Descriptors of technologies; and Evaluation. Each domain included sub-domains and categories with accompanying definitions. The classification system was tested against published papers and further amendments undertaken, including development of an online tool. Six papers were classified by the TDG with levels of consensus recorded. Testing the taxonomy with papers highlighted difficulties in definitions across international healthcare systems, together with differences of TDG members' backgrounds. Definitions were clarified and amended accordingly, but some difficulties remained. The taxonomy and manual were large documents leading to a lengthy classification process. The development of the online application enabled a much simpler classification process, as categories and definitions appeared only when relevant. Overall consensus for the classified papers was 70.66%. Consensus scores increased as modifications were made to the taxonomy. The FARSEEING Taxonomy of Technologies presents a common language, which should now be adopted in the field of biomedical informatics. In developing the taxonomy as an online tool, it has become possible to continue to develop and modify the classification system to incorporate new technologies and interventions. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Guide to the TANDEM System for the Modern Languages Department Tape Library: A Non-Technical Guide for Teachers.

ERIC Educational Resources Information Center

Hounsell, D.; And Others

This guide for teachers to the tape indexing system (TANDEM) in use at the Modern Languages Department at Portsmouth Polytechnic focuses on tape classification, numbering, labeling, and shelving system procedures. The appendixes contain information on: (1) the classification system and related codes, (2) color and letter codes, (3) marking of tape…

Slide Library of the History of Art Department, Cornell University: Classification and Retrieval System.

ERIC Educational Resources Information Center

Nemethy, Judith

A study was conducted to develop a retrieval system for slides in the History of Art Collection at Cornell University to make it more consistent and easier for patrons from other academic disciplines to use than the system currently in use. To determine whether slide library systems at other institutions could be adapted to the History of Art…

Trends in Biophysical Research and Their Implications for Medical Libraries

PubMed Central

Chen, Ching-chih

1973-01-01

This is a statistical survey of the trends in biophysical research as reflected by papers presented at four Biophysical Society (BPS) annual meetings between 1958 and 1972 and by the funding sources of the reported projects. The study reveals that biophysical research has grown quite substantially, particularly since 1968. Although biophysics is truly interdisciplinary, since 1968 there has been more pronounced emphasis on biomedically oriented problems and a tendency toward more specific and more highly specialized problems. Between 1958 and 1972, most biophysicists were academic researchers, 50% of whom were biomedical scientists. Over three quarters of the ongoing biophysical research projects during this period were supported by governmental agencies, and among them, the National Institutes of Health was the largest single funding source. PMID:4573970

Picture This... Developing Standards for Electronic Images at the National Library of Medicine

PubMed Central

Masys, Daniel R.

1990-01-01

New computer technologies have made it feasible to represent, store, and communicate high resolution biomedical images via electronic means. Traditional two dimensional medical images such as those on printed pages have been supplemented by three dimensional images which can be rendered, rotated, and “dissected” from any point of view. The library of the future will provide electronic access not only to words and numbers, but to pictures, sounds, and other nontextual information. There currently exist few widely-accepted standards for the representation and communication of complex images, yet such standards will be critical to the feasibility and usefulness of digital image collections in the life sciences. The National Library of Medicine is embarked on a project to develop a complete digital volumetric representation of an adult human male and female. This “Visible Human Project” will address the issue of standards for computer representation of biological structure.

Laser spectroscopy applied to environmental, ecological, food safety, and biomedical research.

PubMed

Svanberg, Sune; Zhao, Guangyu; Zhang, Hao; Huang, Jing; Lian, Ming; Li, Tianqi; Zhu, Shiming; Li, Yiyun; Duan, Zheng; Lin, Huiying; Svanberg, Katarina

2016-03-21

Laser spectroscopy provides many possibilities for multi-disciplinary applications in environmental monitoring, in the ecological field, for food safety investigations, and in biomedicine. The paper gives several examples of the power of multi-disciplinary applications of laser spectroscopy as pursued in our research group. The studies utilize mostly similar and widely applicable spectroscopic approaches. Air pollution and vegetation monitoring by lidar techniques, as well as agricultural pest insect monitoring and classification by elastic scattering and fluorescence spectroscopy are described. Biomedical aspects include food safety applications and medical diagnostics of sinusitis and otitis, with strong connection to the abatement of antibiotics resistance development.

A power information user (PIU) model to promote information integration in Tennessee's public health community.

PubMed

Sathe, Nila A; Lee, Patricia; Giuse, Nunzia Bettinsoli

2004-10-01

Observation and immersion in the user community are critical factors in designing and implementing informatics solutions; such practices ensure relevant interventions and promote user acceptance. Libraries can adapt these strategies to developing instruction and outreach. While needs assessment is typically a core facet of library instruction, sustained, iterative assessment underlying the development of user-centered instruction is key to integrating resource use into the workflow. This paper describes the Eskind Biomedical Library's (EBL's) recent work with the Tennessee public health community to articulate a training model centered around developing power information users (PIUs). PIUs are community-based individuals with an advanced understanding of information seeking and resource use and are committed to championing information integration. As model development was informed by observation of PIU workflow and information needs, it also allowed for informal testing of the applicability of assessment via domain immersion in library outreach. Though the number of PIUs involved in the project was small, evaluation indicated that the model was useful for promoting information use in PIU workgroups and that the concept of domain immersion was relevant to library-related projects. Moreover, EBL continues to employ principles of domain understanding inherent in the PIU model to develop further interventions for the public health community and library users.

Window classification of brain CT images in biomedical articles.

PubMed

Xue, Zhiyun; Antani, Sameer; Long, L Rodney; Demner-Fushman, Dina; Thoma, George R

2012-01-01

Effective capability to search biomedical articles based on visual properties of article images may significantly augment information retrieval in the future. In this paper, we present a new method to classify the window setting types of brain CT images. Windowing is a technique frequently used in the evaluation of CT scans, and is used to enhance contrast for the particular tissue or abnormality type being evaluated. In particular, it provides radiologists with an enhanced view of certain types of cranial abnormalities, such as the skull lesions and bone dysplasia which are usually examined using the " bone window" setting and illustrated in biomedical articles using "bone window images". Due to the inherent large variations of images among articles, it is important that the proposed method is robust. Our algorithm attained 90% accuracy in classifying images as bone window or non-bone window in a 210 image data set.

Defining new aims for BME programs in Latin America: the case of UAM-Iztapalapa.

PubMed

Azpiroz-Leehan, J; Martinez, L F; Urbina, M E G; Cadena, M M; Sacristan, E

2016-08-01

The need for upkeep and management of medical technology has fostered the creation of a large number of under graduate programs in the field of biomedical Engineering. In Latin America alone, there are over 85 programs dedicated to this. This contrasts with programs in other regions where most of the undergraduates continue on to pursue graduate degrees or work as research and development engineers in the biomedical industry. In this work we analyze the situation regarding curricular design in the 48 BME programs in Mexico and compare this to suggestions and classifications of programs according to needs and possibilities. We then focus on a particular institution, Universidad Autónoma Metropolitana and due to its characteristics and performance we propose that it should redefine its aims from the undergraduate program on, in order to not only generate research but also to provide a nurturing environment for a budding biomedical industry in Mexico.

Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time

PubMed Central

Seoane, Fernando; Mohino-Herranz, Inmaculada; Ferreira, Javier; Alvarez, Lorena; Buendia, Ruben; Ayllón, David; Llerena, Cosme; Gil-Pita, Roberto

2014-01-01

The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework the ATREC project funded by the “Coincidente” program aims at analyzing diverse biometrics to assess by real time monitoring the stress levels of combatants. This project combines multidisciplinary disciplines and fields, including wearable instrumentation, textile technology, signal processing, pattern recognition and psychological analysis of the obtained information. In this work the ATREC project is described, including the different execution phases, the wearable biomedical measurement systems, the experimental setup, the biomedical signal analysis and speech processing performed. The preliminary results obtained from the data analysis collected during the first phase of the project are presented, indicating the good classification performance exhibited when using features obtained from electrocardiographic recordings and electrical bioimpedance measurements from the thorax. These results suggest that cardiac and respiration activity offer better biomarkers for assessment of stress than speech, galvanic skin response or skin temperature when recorded with wearable biomedical measurement systems. PMID:24759113

Wearable biomedical measurement systems for assessment of mental stress of combatants in real time.

PubMed

Seoane, Fernando; Mohino-Herranz, Inmaculada; Ferreira, Javier; Alvarez, Lorena; Buendia, Ruben; Ayllón, David; Llerena, Cosme; Gil-Pita, Roberto

2014-04-22

The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework the ATREC project funded by the "Coincidente" program aims at analyzing diverse biometrics to assess by real time monitoring the stress levels of combatants. This project combines multidisciplinary disciplines and fields, including wearable instrumentation, textile technology, signal processing, pattern recognition and psychological analysis of the obtained information. In this work the ATREC project is described, including the different execution phases, the wearable biomedical measurement systems, the experimental setup, the biomedical signal analysis and speech processing performed. The preliminary results obtained from the data analysis collected during the first phase of the project are presented, indicating the good classification performance exhibited when using features obtained from electrocardiographic recordings and electrical bioimpedance measurements from the thorax. These results suggest that cardiac and respiration activity offer better biomarkers for assessment of stress than speech, galvanic skin response or skin temperature when recorded with wearable biomedical measurement systems.

United States National Library of Medicine Drug Information Portal.

PubMed

Hochstein, Colette; Goshorn, Jeanne; Chang, Florence

2009-01-01

The Drug Information Portal is a free Web resource from the National Library of Medicine (NLM) that provides a user-friendly gateway to current information for more than 15,000 drugs. The site guides users to related resources of NLM, the National Institutes of Health (NIH), and other government agencies. Current drug-related information regarding consumer health, clinical trials, AIDS, MeSH pharmacological actions, MEDLINE/PubMed biomedical literature, and physical properties and structure is easily retrieved by searching on a drug name. A varied selection of focused topics in medicine and drugs is also available from displayed subject headings. This column provides background information about the Drug Information Portal, as well as search basics.

Identification of Osteoconductive and Biodegradable Polymers from a Combinatorial Polymer Library

PubMed Central

Brey, Darren M.; Chung, Cindy; Hankenson, Kurt D.; Garino, Jonathon P.; Burdick, Jason A.

2012-01-01

Combinatorial polymer syntheses are now being utilized to create libraries of materials with potential utility for a wide variety of biomedical applications. We recently developed a library of photopolymerizable and biodegradable poly(β-amino ester)s (PBAEs) that possessed a range of tunable properties. In this work, the PBAE library was assessed for candidate materials that met design criteria (e.g., physical properties such as degradation and mechanical strength and in vitro cell viability and osteoconductive behavior) for scaffolding in mineralized tissue repair. The most promising candidate, A6, was then processed into 3-dimensional porous scaffolds and implanted subcutaneously and only presented a mild inflammatory response. The scaffolds were then implanted intramuscularly and into a critically-sized cranial defect either alone or loaded with bone morphogenetic protein-2 (BMP-2). The samples in both locations displayed mineralized tissue formation in the presence of BMP-2, as evident through radiographs, micro-computed tomography, and histology, while samples without BMP-2 showed minimal or no mineralized tissue. These results illustrate a process to identify a candidate scaffolding material from a combinatorial polymer library, and specifically for the identification of an osteoconductive scaffold with osteoinductive properties via the inclusion of a growth factor. PMID:20198696

Interpreting Hypernymic Propositions in an Online Medical Encyclopedia

PubMed Central

Fiszman, Marcelo; Rindflesch, Thomas C.; Kilicoglu, Halil

2003-01-01

Interpretation of semantic propositions from biomedical texts documents would provide valuable support to natural language processing (NLP) applications. We are developing a methodology to interpret a kind of semantic proposition, the hypernymic proposition, in MEDLINE abstracts. In this paper, we expanded the system to identify these structures in a different discourse domain: the Medical Encyclopedia from the National Library of Medicine’s MEDLINEplus® Website. PMID:14728345

Interpreting hypernymic propositions in an online medical encyclopedia.

PubMed

Fiszman, Marcelo; Rindflesch, Thomas C; Kilicoglu, Halil

2003-01-01

Interpretation of semantic propositions from bio-medical texts documents would provide valuable support to natural language processing (NLP) applications. We are developing a methodology to interpret a kind of semantic proposition, the hypernymic proposition, in MEDLINE abstracts. In this paper, we expanded the system to identify these structures in a different discourse domain: the Medical Encyclopedia from the National Library of Medi-cine's MEDLINEplus Website.

Non-Cell-Adhesive Substrates for Printing of Arrayed Biomaterials

PubMed Central

Appel, Eric A.; Larson, Benjamin L.; Luly, Kathryn M.; Kim, Jinseong D.

2015-01-01

Cellular microarrays have become extremely useful in expediting the investigation of large libraries of (bio)materials for both in vitro and in vivo biomedical applications. We have developed an exceedingly simple strategy for the fabrication of non-cell-adhesive substrates supporting the immobilization of diverse (bio)material features, including both monomeric and polymeric adhesion molecules (e.g. RGD and polylysine), hydrogels, and polymers. PMID:25430948

Gimli: open source and high-performance biomedical name recognition

PubMed Central

2013-01-01

Background Automatic recognition of biomedical names is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. In recent years, various solutions have been implemented to tackle this problem. However, limitations regarding system characteristics, customization and usability still hinder their wider application outside text mining research. Results We present Gimli, an open-source, state-of-the-art tool for automatic recognition of biomedical names. Gimli includes an extended set of implemented and user-selectable features, such as orthographic, morphological, linguistic-based, conjunctions and dictionary-based. A simple and fast method to combine different trained models is also provided. Gimli achieves an F-measure of 87.17% on GENETAG and 72.23% on JNLPBA corpus, significantly outperforming existing open-source solutions. Conclusions Gimli is an off-the-shelf, ready to use tool for named-entity recognition, providing trained and optimized models for recognition of biomedical entities from scientific text. It can be used as a command line tool, offering full functionality, including training of new models and customization of the feature set and model parameters through a configuration file. Advanced users can integrate Gimli in their text mining workflows through the provided library, and extend or adapt its functionalities. Based on the underlying system characteristics and functionality, both for final users and developers, and on the reported performance results, we believe that Gimli is a state-of-the-art solution for biomedical NER, contributing to faster and better research in the field. Gimli is freely available at http://bioinformatics.ua.pt/gimli. PMID:23413997

Visualizing the Structure of Medical Informatics Using Term Co-Occurrence Analysis: II. INSPEC Perspective.

ERIC Educational Resources Information Center

Morris, Theodore

2001-01-01

Term co-occurrence analysis of INSPEC classification codes and thesaurus terms used to index Medical Informatics literature reveals an information science and technology perspective on the field, to accompany the biomedical perspective previously reported. This study continues the search for a better understanding of the structure of Medical…

Army Library Institute V: Product/Marketing/Service - Volume 2, Supplementary Data

DTIC Science & Technology

1981-11-01

Rinctlons OCLC for Beginners Performance Standards Screening Panel Session 4, Thursday, 21 May 1981 Task Force Group Meetings ADP/Networking...for Library Functions W OCLC for Beginners X Career Programs and Position Classification Standards Y Screening Panel...is non-DLC a librarian will examine it, assign a call number, and do any other editing. For a flowchart , see Appendix 6, but remember that this is a

System Specification for ADA Integrated Environment Type A AIE(1).

DTIC Science & Technology

1982-11-12

includes program library support tools and the linker. The program library is the means by which the AIE supports independent, modular program development...KAPSE TUOL COMMUNICATION Package KAPSE-KAPS ECOMMUNICATION (KAPSE.RTS) (Most of it, except the "Language-Defined Packages" CPC) The overall...including classification of errors by severity; 5. perform optimizations for timing and/or space, without changing the functional meaning of a program by the

Dewey Decimal Classification Online Project: Interim Reports to the Council on Library Resources, April 1984, September 1984, and February 1985.

ERIC Educational Resources Information Center

Markey, Karen; Demeyer, Anh N.

This research project focuses on the implementation and testing of the Dewey Decimal Classification (DDC) system as an online searcher's tool for subject access, browsing, and display in an online catalog. The research project comprises 12 activities. The three interim reports in this document cover the first seven of these activities: (1) obtain…

Use of genetic algorithm for the selection of EEG features

NASA Astrophysics Data System (ADS)

Asvestas, P.; Korda, A.; Kostopoulos, S.; Karanasiou, I.; Ouzounoglou, A.; Sidiropoulos, K.; Ventouras, E.; Matsopoulos, G.

2015-09-01

Genetic Algorithm (GA) is a popular optimization technique that can detect the global optimum of a multivariable function containing several local optima. GA has been widely used in the field of biomedical informatics, especially in the context of designing decision support systems that classify biomedical signals or images into classes of interest. The aim of this paper is to present a methodology, based on GA, for the selection of the optimal subset of features that can be used for the efficient classification of Event Related Potentials (ERPs), which are recorded during the observation of correct or incorrect actions. In our experiment, ERP recordings were acquired from sixteen (16) healthy volunteers who observed correct or incorrect actions of other subjects. The brain electrical activity was recorded at 47 locations on the scalp. The GA was formulated as a combinatorial optimizer for the selection of the combination of electrodes that maximizes the performance of the Fuzzy C Means (FCM) classification algorithm. In particular, during the evolution of the GA, for each candidate combination of electrodes, the well-known (Σ, Φ, Ω) features were calculated and were evaluated by means of the FCM method. The proposed methodology provided a combination of 8 electrodes, with classification accuracy 93.8%. Thus, GA can be the basis for the selection of features that discriminate ERP recordings of observations of correct or incorrect actions.

Design of Biomedical Robots for Phenotype Prediction Problems

PubMed Central

deAndrés-Galiana, Enrique J.; Sonis, Stephen T.

2016-01-01

Abstract Genomics has been used with varying degrees of success in the context of drug discovery and in defining mechanisms of action for diseases like cancer and neurodegenerative and rare diseases in the quest for orphan drugs. To improve its utility, accuracy, and cost-effectiveness optimization of analytical methods, especially those that translate to clinically relevant outcomes, is critical. Here we define a novel tool for genomic analysis termed a biomedical robot in order to improve phenotype prediction, identifying disease pathogenesis and significantly defining therapeutic targets. Biomedical robot analytics differ from historical methods in that they are based on melding feature selection methods and ensemble learning techniques. The biomedical robot mathematically exploits the structure of the uncertainty space of any classification problem conceived as an ill-posed optimization problem. Given a classifier, there exist different equivalent small-scale genetic signatures that provide similar predictive accuracies. We perform the sensitivity analysis to noise of the biomedical robot concept using synthetic microarrays perturbed by different kinds of noises in expression and class assignment. Finally, we show the application of this concept to the analysis of different diseases, inferring the pathways and the correlation networks. The final aim of a biomedical robot is to improve knowledge discovery and provide decision systems to optimize diagnosis, treatment, and prognosis. This analysis shows that the biomedical robots are robust against different kinds of noises and particularly to a wrong class assignment of the samples. Assessing the uncertainty that is inherent to any phenotype prediction problem is the right way to address this kind of problem. PMID:27347715

Extracting biomedical events from pairs of text entities

PubMed Central

2015-01-01

Background Huge amounts of electronic biomedical documents, such as molecular biology reports or genomic papers are generated daily. Nowadays, these documents are mainly available in the form of unstructured free texts, which require heavy processing for their registration into organized databases. This organization is instrumental for information retrieval, enabling to answer the advanced queries of researchers and practitioners in biology, medicine, and related fields. Hence, the massive data flow calls for efficient automatic methods of text-mining that extract high-level information, such as biomedical events, from biomedical text. The usual computational tools of Natural Language Processing cannot be readily applied to extract these biomedical events, due to the peculiarities of the domain. Indeed, biomedical documents contain highly domain-specific jargon and syntax. These documents also describe distinctive dependencies, making text-mining in molecular biology a specific discipline. Results We address biomedical event extraction as the classification of pairs of text entities into the classes corresponding to event types. The candidate pairs of text entities are recursively provided to a multiclass classifier relying on Support Vector Machines. This recursive process extracts events involving other events as arguments. Compared to joint models based on Markov Random Fields, our model simplifies inference and hence requires shorter training and prediction times along with lower memory capacity. Compared to usual pipeline approaches, our model passes over a complex intermediate problem, while making a more extensive usage of sophisticated joint features between text entities. Our method focuses on the core event extraction of the Genia task of BioNLP challenges yielding the best result reported so far on the 2013 edition. PMID:26201478

Design of Biomedical Robots for Phenotype Prediction Problems.

PubMed

deAndrés-Galiana, Enrique J; Fernández-Martínez, Juan Luis; Sonis, Stephen T

2016-08-01

Genomics has been used with varying degrees of success in the context of drug discovery and in defining mechanisms of action for diseases like cancer and neurodegenerative and rare diseases in the quest for orphan drugs. To improve its utility, accuracy, and cost-effectiveness optimization of analytical methods, especially those that translate to clinically relevant outcomes, is critical. Here we define a novel tool for genomic analysis termed a biomedical robot in order to improve phenotype prediction, identifying disease pathogenesis and significantly defining therapeutic targets. Biomedical robot analytics differ from historical methods in that they are based on melding feature selection methods and ensemble learning techniques. The biomedical robot mathematically exploits the structure of the uncertainty space of any classification problem conceived as an ill-posed optimization problem. Given a classifier, there exist different equivalent small-scale genetic signatures that provide similar predictive accuracies. We perform the sensitivity analysis to noise of the biomedical robot concept using synthetic microarrays perturbed by different kinds of noises in expression and class assignment. Finally, we show the application of this concept to the analysis of different diseases, inferring the pathways and the correlation networks. The final aim of a biomedical robot is to improve knowledge discovery and provide decision systems to optimize diagnosis, treatment, and prognosis. This analysis shows that the biomedical robots are robust against different kinds of noises and particularly to a wrong class assignment of the samples. Assessing the uncertainty that is inherent to any phenotype prediction problem is the right way to address this kind of problem.

The SpeX Prism Library Analysis Toolkit: Design Considerations and First Results

NASA Astrophysics Data System (ADS)

Burgasser, Adam J.; Aganze, Christian; Escala, Ivana; Lopez, Mike; Choban, Caleb; Jin, Yuhui; Iyer, Aishwarya; Tallis, Melisa; Suarez, Adrian; Sahi, Maitrayee

2016-01-01

Various observational and theoretical spectral libraries now exist for galaxies, stars, planets and other objects, which have proven useful for classification, interpretation, simulation and model development. Effective use of these libraries relies on analysis tools, which are often left to users to develop. In this poster, we describe a program to develop a combined spectral data repository and Python-based analysis toolkit for low-resolution spectra of very low mass dwarfs (late M, L and T dwarfs), which enables visualization, spectral index analysis, classification, atmosphere model comparison, and binary modeling for nearly 2000 library spectra and user-submitted data. The SpeX Prism Library Analysis Toolkit (SPLAT) is being constructed as a collaborative, student-centered, learning-through-research model with high school, undergraduate and graduate students and regional science teachers, who populate the database and build the analysis tools through quarterly challenge exercises and summer research projects. In this poster, I describe the design considerations of the toolkit, its current status and development plan, and report the first published results led by undergraduate students. The combined data and analysis tools are ideal for characterizing cool stellar and exoplanetary atmospheres (including direct exoplanetary spectra observations by Gemini/GPI, VLT/SPHERE, and JWST), and the toolkit design can be readily adapted for other spectral datasets as well.This material is based upon work supported by the National Aeronautics and Space Administration under Grant No. NNX15AI75G. SPLAT code can be found at https://github.com/aburgasser/splat.

Regional shape-based feature space for segmenting biomedical images using neural networks

NASA Astrophysics Data System (ADS)

Sundaramoorthy, Gopal; Hoford, John D.; Hoffman, Eric A.

1993-07-01

In biomedical images, structure of interest, particularly the soft tissue structures, such as the heart, airways, bronchial and arterial trees often have grey-scale and textural characteristics similar to other structures in the image, making it difficult to segment them using only gray- scale and texture information. However, these objects can be visually recognized by their unique shapes and sizes. In this paper we discuss, what we believe to be, a novel, simple scheme for extracting features based on regional shapes. To test the effectiveness of these features for image segmentation (classification), we use an artificial neural network and a statistical cluster analysis technique. The proposed shape-based feature extraction algorithm computes regional shape vectors (RSVs) for all pixels that meet a certain threshold criteria. The distance from each such pixel to a boundary is computed in 8 directions (or in 26 directions for a 3-D image). Together, these 8 (or 26) values represent the pixel's (or voxel's) RSV. All RSVs from an image are used to train a multi-layered perceptron neural network which uses these features to 'learn' a suitable classification strategy. To clearly distinguish the desired object from other objects within an image, several examples from inside and outside the desired object are used for training. Several examples are presented to illustrate the strengths and weaknesses of our algorithm. Both synthetic and actual biomedical images are considered. Future extensions to this algorithm are also discussed.

Appraisal of the papers of biomedical scientists and physicians for a medical archives.

PubMed Central

Anderson, P G

1985-01-01

Numerous medical libraries house archival collections. This article discusses criteria for selecting personal papers of biomedical scientists and physicians for a medical archives and defines key terms, such as appraisal, manuscripts, papers, records, and series. Appraisal focuses on both collection and series levels. Collection-level criteria include the significance of a scientist's career and the uniqueness, coverage, and accessibility of the manuscripts. Series frequently found among medically related manuscripts are enumerated and discussed. Types of organizational records and the desirability of accessioning them along with manuscripts are considered. Advantages of direct communication with creators of manuscripts are described. The initial appraisal process is not the last word: reevaluation of materials must take place during processing and can be resumed long afterwards. PMID:4052673

A Virtual Notebook for biomedical work groups.

PubMed Central

Gorry, G A; Burger, A M; Chaney, R J; Long, K B; Tausk, C M

1988-01-01

During the past several years, Baylor College of Medicine has made a substantial commitment to the use of information technology in support of its corporate and academic programs. The concept of an Integrated Academic Information Management System (IAIMS) has proved central in our planning, and the IAIMS activities that we have undertaken with funding from the National Library of Medicine have proved to be important extensions of our technology development. Here we describe our Virtual Notebook system, a conceptual and technologic framework for task coordination and information management in biomedical work groups. When fully developed and deployed, the Virtual Notebook will improve the functioning of basic and clinical research groups in the college, and it currently serves as a model for the longer-term development of our entire information management environment. PMID:3046694

JAtlasView: a Java atlas-viewer for browsing biomedical 3D images and atlases.

PubMed

Feng, Guangjie; Burton, Nick; Hill, Bill; Davidson, Duncan; Kerwin, Janet; Scott, Mark; Lindsay, Susan; Baldock, Richard

2005-03-09

Many three-dimensional (3D) images are routinely collected in biomedical research and a number of digital atlases with associated anatomical and other information have been published. A number of tools are available for viewing this data ranging from commercial visualization packages to freely available, typically system architecture dependent, solutions. Here we discuss an atlas viewer implemented to run on any workstation using the architecture neutral Java programming language. We report the development of a freely available Java based viewer for 3D image data, descibe the structure and functionality of the viewer and how automated tools can be developed to manage the Java Native Interface code. The viewer allows arbitrary re-sectioning of the data and interactive browsing through the volume. With appropriately formatted data, for example as provided for the Electronic Atlas of the Developing Human Brain, a 3D surface view and anatomical browsing is available. The interface is developed in Java with Java3D providing the 3D rendering. For efficiency the image data is manipulated using the Woolz image-processing library provided as a dynamically linked module for each machine architecture. We conclude that Java provides an appropriate environment for efficient development of these tools and techniques exist to allow computationally efficient image-processing libraries to be integrated relatively easily.

Hypotheses generation as supervised link discovery with automated class labeling on large-scale biomedical concept networks

PubMed Central

2012-01-01

Computational approaches to generate hypotheses from biomedical literature have been studied intensively in recent years. Nevertheless, it still remains a challenge to automatically discover novel, cross-silo biomedical hypotheses from large-scale literature repositories. In order to address this challenge, we first model a biomedical literature repository as a comprehensive network of biomedical concepts and formulate hypotheses generation as a process of link discovery on the concept network. We extract the relevant information from the biomedical literature corpus and generate a concept network and concept-author map on a cluster using Map-Reduce frame-work. We extract a set of heterogeneous features such as random walk based features, neighborhood features and common author features. The potential number of links to consider for the possibility of link discovery is large in our concept network and to address the scalability problem, the features from a concept network are extracted using a cluster with Map-Reduce framework. We further model link discovery as a classification problem carried out on a training data set automatically extracted from two network snapshots taken in two consecutive time duration. A set of heterogeneous features, which cover both topological and semantic features derived from the concept network, have been studied with respect to their impacts on the accuracy of the proposed supervised link discovery process. A case study of hypotheses generation based on the proposed method has been presented in the paper. PMID:22759614

Dewey Decimal Classification Online Project: Evaluation of a Library Schedule and Index Integrated into the Subject Searching Capabilities of an Online Catalog. Final Report.

ERIC Educational Resources Information Center

Markey, Karen; Demeyer, Anh N.

In this research project, subject terms from the Dewey Decimal Classification (DDC) Schedules and Relative Index were incorporated into an online catalog as searcher's tools for subject access, browsing, and display. Four features of the DDC were employed to help searchers browse for and match their own subject terms with the online catalog's…

A framework for biomedical figure segmentation towards image-based document retrieval

PubMed Central

2013-01-01

The figures included in many of the biomedical publications play an important role in understanding the biological experiments and facts described within. Recent studies have shown that it is possible to integrate the information that is extracted from figures in classical document classification and retrieval tasks in order to improve their accuracy. One important observation about the figures included in biomedical publications is that they are often composed of multiple subfigures or panels, each describing different methodologies or results. The use of these multimodal figures is a common practice in bioscience, as experimental results are graphically validated via multiple methodologies or procedures. Thus, for a better use of multimodal figures in document classification or retrieval tasks, as well as for providing the evidence source for derived assertions, it is important to automatically segment multimodal figures into subfigures and panels. This is a challenging task, however, as different panels can contain similar objects (i.e., barcharts and linecharts) with multiple layouts. Also, certain types of biomedical figures are text-heavy (e.g., DNA sequences and protein sequences images) and they differ from traditional images. As a result, classical image segmentation techniques based on low-level image features, such as edges or color, are not directly applicable to robustly partition multimodal figures into single modal panels. In this paper, we describe a robust solution for automatically identifying and segmenting unimodal panels from a multimodal figure. Our framework starts by robustly harvesting figure-caption pairs from biomedical articles. We base our approach on the observation that the document layout can be used to identify encoded figures and figure boundaries within PDF files. Taking into consideration the document layout allows us to correctly extract figures from the PDF document and associate their corresponding caption. We combine pixel-level representations of the extracted images with information gathered from their corresponding captions to estimate the number of panels in the figure. Thus, our approach simultaneously identifies the number of panels and the layout of figures. In order to evaluate the approach described here, we applied our system on documents containing protein-protein interactions (PPIs) and compared the results against a gold standard that was annotated by biologists. Experimental results showed that our automatic figure segmentation approach surpasses pure caption-based and image-based approaches, achieving a 96.64% accuracy. To allow for efficient retrieval of information, as well as to provide the basis for integration into document classification and retrieval systems among other, we further developed a web-based interface that lets users easily retrieve panels containing the terms specified in the user queries. PMID:24565394

Development of Methodologic Tools for Planning and Managing Library Services: IV. Bibliography of Studies Selected for Methods and Data Useful to Biomedical Libraries *

PubMed Central

Orr, Richard H.

1970-01-01

This selective bibliography is intended to serve as a guide to empirical studies reporting data and methods that can be used by medical librarians to assess their own efforts objectively and to improve the effectiveness and efficiency of services they offer. The decision rules that governed selection of items for the bibliography are specified in detail. A total of 178 items published between 1915 and mid-1968 met the selection criteria. The list of items is supplemented by a keyword index derived from titles. Half the items are journal articles; a third of these articles appeared in the Bulletin, and most of the remainder in thirteen other library and information science journals. Most of the non-journal items are technical reports issued by the organization that conducted or sponsored the work. The characteristics of this literature suggest that few medical libraries, unless they are part of a university system that includes the collection of a library or information science school, are likely to have quick access to the literature base needed to support a comprehensive program of self-evaluation studies and the continuing education of their own staff. Regional medical libraries might well undertake to ensure both ready access to, and awareness of, literature on the scientific aspects of librarianship. PMID:4912761

A best-fit model for concept vectors in biomedical research grants.

PubMed

Johnson, Calvin; Lau, William; Bhandari, Archna; Hays, Timothy

2008-11-06

The Research, Condition, and Disease Categorization (RCDC) project was created to standardize budget reporting by research topic. Text mining techniques have been implemented to classify NIH grant applications into proper research and disease categories. A best-fit model is shown to achieve classification performance rivaling that of concept vectors produced by human experts.

Graph-based word sense disambiguation of biomedical documents.

PubMed

Agirre, Eneko; Soroa, Aitor; Stevenson, Mark

2010-11-15

Word Sense Disambiguation (WSD), automatically identifying the meaning of ambiguous words in context, is an important stage of text processing. This article presents a graph-based approach to WSD in the biomedical domain. The method is unsupervised and does not require any labeled training data. It makes use of knowledge from the Unified Medical Language System (UMLS) Metathesaurus which is represented as a graph. A state-of-the-art algorithm, Personalized PageRank, is used to perform WSD. When evaluated on the NLM-WSD dataset, the algorithm outperforms other methods that rely on the UMLS Metathesaurus alone. The WSD system is open source licensed and available from http://ixa2.si.ehu.es/ukb/. The UMLS, MetaMap program and NLM-WSD corpus are available from the National Library of Medicine https://www.nlm.nih.gov/research/umls/, http://mmtx.nlm.nih.gov and http://wsd.nlm.nih.gov. Software to convert the NLM-WSD corpus into a format that can be used by our WSD system is available from http://www.dcs.shef.ac.uk/∼marks/biomedical_wsd under open source license.

Web quality control for lectures: Supercourse and Amazon.com.

PubMed

Linkov, Faina; LaPorte, Ronald; Lovalekar, Mita; Dodani, Sunita

2005-12-01

Peer review has been at the corner stone of quality control of the biomedical journals in the past 300 years. With the emergency of the Internet, new models of quality control and peer review are emerging. However, such models are poorly investigated. We would argue that the popular system of quality control used in Amazon.com offers a way to ensure continuous quality improvement in the area of research communications on the Internet. Such system is providing an interesting alternative to the traditional peer review approaches used in the biomedical journals and challenges the traditional paradigms of scientific publishing. This idea is being explored in the context of Supercourse, a library of 2,350 prevention lectures, shared for free by faculty members from over 150 countries. Supercourse is successfully utilizing quality control approaches that are similar to Amazon.com model. Clearly, the existing approaches and emerging alternatives for quality control in scientific communications needs to be assessed scientifically. Rapid explosion of internet technologies could be leveraged to produce better, more cost effective systems for quality control in the biomedical publications and across all sciences.

The SUNY biomedical communication network: six years of progress in on-line bibiographic retrieval.

PubMed Central

Egeland, J

1975-01-01

The SUNY Biomedical Communication Network became operational in 1968 as the first on-line bibliograhpic retrieval service for biomedical literature. Since 1968, the SUNY/BCN has grown in size from nine to thirty-two medical and university libraries and has expanded its data base coverage to include the ERIC and Psychological Abstracts data bases in addition to the full ten-year retrospective MEDLARS data base. Aside from the continuous provision of an on-line searching system, the SUNY experience over the last six years has yielded valuable information in the following areas of: (1) monograph indexing and retrieval, (2) shared cataloging, (3) user interaction and education in on-line systems, and (4) member participation in Network policy-making processes. The continued success of the SUNY/BCN is evidence that it is possible to provide a high quality on-line bibliographic retrieval system at cost to academic institutions. SUNY's success in this effort is the result of centralized resource sharing and effective regional networking, combined with thoughtful planning by user advisory committees. PMID:1173557

Library

Science.gov Websites

United States Census Bureau Topics Population Latest Information Age and Sex Ancestry Children Mobility Population Estimates Population Projections Race Veterans Economy Latest Information Portal Other Economic Programs Business Latest Information Business Characteristics Classification Codes

Hyperspectral feature mapping classification based on mathematical morphology

NASA Astrophysics Data System (ADS)

Liu, Chang; Li, Junwei; Wang, Guangping; Wu, Jingli

2016-03-01

This paper proposed a hyperspectral feature mapping classification algorithm based on mathematical morphology. Without the priori information such as spectral library etc., the spectral and spatial information can be used to realize the hyperspectral feature mapping classification. The mathematical morphological erosion and dilation operations are performed respectively to extract endmembers. The spectral feature mapping algorithm is used to carry on hyperspectral image classification. The hyperspectral image collected by AVIRIS is applied to evaluate the proposed algorithm. The proposed algorithm is compared with minimum Euclidean distance mapping algorithm, minimum Mahalanobis distance mapping algorithm, SAM algorithm and binary encoding mapping algorithm. From the results of the experiments, it is illuminated that the proposed algorithm's performance is better than that of the other algorithms under the same condition and has higher classification accuracy.

Robust Library Building for Autonomous Classification of Downhole Geophysical Logs Using Gaussian Processes

NASA Astrophysics Data System (ADS)

Silversides, Katherine L.; Melkumyan, Arman

2017-03-01

Machine learning techniques such as Gaussian Processes can be used to identify stratigraphically important features in geophysical logs. The marker shales in the banded iron formation hosted iron ore deposits of the Hamersley Ranges, Western Australia, form distinctive signatures in the natural gamma logs. The identification of these marker shales is important for stratigraphic identification of unit boundaries for the geological modelling of the deposit. Machine learning techniques each have different unique properties that will impact the results. For Gaussian Processes (GPs), the output values are inclined towards the mean value, particularly when there is not sufficient information in the library. The impact that these inclinations have on the classification can vary depending on the parameter values selected by the user. Therefore, when applying machine learning techniques, care must be taken to fit the technique to the problem correctly. This study focuses on optimising the settings and choices for training a GPs system to identify a specific marker shale. We show that the final results converge even when different, but equally valid starting libraries are used for the training. To analyse the impact on feature identification, GP models were trained so that the output was inclined towards a positive, neutral or negative output. For this type of classification, the best results were when the pull was towards a negative output. We also show that the GP output can be adjusted by using a standard deviation coefficient that changes the balance between certainty and accuracy in the results.

A novel spectral library workflow to enhance protein identifications.

PubMed

Li, Haomin; Zong, Nobel C; Liang, Xiangbo; Kim, Allen K; Choi, Jeong Ho; Deng, Ning; Zelaya, Ivette; Lam, Maggie; Duan, Huilong; Ping, Peipei

2013-04-09

The innovations in mass spectrometry-based investigations in proteome biology enable systematic characterization of molecular details in pathophysiological phenotypes. However, the process of delineating large-scale raw proteomic datasets into a biological context requires high-throughput data acquisition and processing. A spectral library search engine makes use of previously annotated experimental spectra as references for subsequent spectral analyses. This workflow delivers many advantages, including elevated analytical efficiency and specificity as well as reduced demands in computational capacity. In this study, we created a spectral matching engine to address challenges commonly associated with a library search workflow. Particularly, an improved sliding dot product algorithm, that is robust to systematic drifts of mass measurement in spectra, is introduced. Furthermore, a noise management protocol distinguishes spectra correlation attributed from noise and peptide fragments. It enables elevated separation between target spectral matches and false matches, thereby suppressing the possibility of propagating inaccurate peptide annotations from library spectra to query spectra. Moreover, preservation of original spectra also accommodates user contributions to further enhance the quality of the library. Collectively, this search engine supports reproducible data analyses using curated references, thereby broadening the accessibility of proteomics resources to biomedical investigators. This article is part of a Special Issue entitled: From protein structures to clinical applications. Copyright © 2013 Elsevier B.V. All rights reserved.

Informationist programme in support of biomedical research: a programme description and preliminary findings of an evaluation

PubMed Central

Whitmore, Susan C.; Grefsheim, Suzanne F.; Rankin, Jocelyn A.

2008-01-01

Background The informationist programme at the Library of the National Institutes of Health (NIH) in Bethesda, MD, USA has grown to 14 informationists working with 40 clinical and basic science research teams. Purpose This case report, intended to contribute to the literature on informationist programmes, describes the NIH informationist programme including implementation experiences, the informationists' training programme, their job responsibilities and programme outcomes. Brief description The NIH informationist programme was designed to enhance the library's service capacity. Over time, the steps for introducing the service to new groups were formalized to ensure support by leadership, the team being served and the library. Job responsibilities also evolved from traditional library roles to a wide range of knowledge management activities. The commitment by the informationist, the team and the library to continuous learning is critical to the programme's success. Results/outcomes NIH scientists reported that informationists saved them time and contributed to teamwork with expert searching and point-of-need instruction. Process evaluation helped refine the programme. Evaluation method High-level, preliminary outcomes were identified from a survey of scientists receiving informationist services, along with key informant interviews. Process evaluation examined service implementation, informationists' training, and service components. Anecdotal evidence has also indicated a favorable response to the programme. PMID:18494648

Informationist programme in support of biomedical research: a programme description and preliminary findings of an evaluation.

PubMed

Whitmore, Susan C; Grefsheim, Suzanne F; Rankin, Jocelyn A

2008-06-01

The informationist programme at the Library of the National Institutes of Health (NIH) in Bethesda, MD, USA has grown to 14 informationists working with 40 clinical and basic science research teams. This case report, intended to contribute to the literature on informationist programmes, describes the NIH informationist programme, including implementation experiences, the informationists' training programme, their job responsibilities and programme outcomes. The NIH informationist programme was designed to enhance the library's service capacity. Over time, the steps for introducing the service to new groups were formalized to ensure support by leadership, the team being served and the library. Job responsibilities also evolved from traditional library roles to a wide range of knowledge management activities. The commitment by the informationist, the team and the library to continuous learning is critical to the programme's success. RESULTS / OUTCOMES: NIH scientists reported that informationists saved them time and contributed to teamwork with expert searching and point-of-need instruction. Process evaluation helped refine the programme. High-level, preliminary outcomes were identified from a survey of scientists receiving informationist services, along with key informant interviews. Process evaluation examined service implementation, informationists' training and service components. Anecdotal evidence has also indicated a favourable response to the programme.

A Multi-Discipline, Multi-Genre Digital Library for Research and Education

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Maly, Kurt; Shen, Stewart N. T.

2004-01-01

We describe NCSTRL+, a unified, canonical digital library for educational and scientific and technical information (STI). NCSTRL+ is based on the Networked Computer Science Technical Report Library (NCSTRL), a World Wide Web (WWW) accessible digital library (DL) that provides access to over 100 university departments and laboratories. NCSTRL+ implements two new technologies: cluster functionality and publishing "buckets". We have extended the Dienst protocol, the protocol underlying NCSTRL, to provide the ability to "cluster" independent collections into a logically centralized digital library based upon subject category classification, type of organization, and genres of material. The concept of "buckets" provides a mechanism for publishing and managing logically linked entities with multiple data formats. The NCSTRL+ prototype DL contains the holdings of NCSTRL and the NASA Technical Report Server (NTRS). The prototype demonstrates the feasibility of publishing into a multi-cluster DL, searching across clusters, and storing and presenting buckets of information.

[Building Mass Spectrometry Spectral Libraries of Human Cancer Cell Lines].

PubMed

Faktor, J; Bouchal, P

Cancer research often focuses on protein quantification in model cancer cell lines and cancer tissues. SWATH (sequential windowed acquisition of all theoretical fragment ion spectra), the state of the art method, enables the quantification of all proteins included in spectral library. Spectral library contains fragmentation patterns of each detectable protein in a sample. Thorough spectral library preparation will improve quantitation of low abundant proteins which usually play an important role in cancer. Our research is focused on the optimization of spectral library preparation aimed at maximizing the number of identified proteins in MCF-7 breast cancer cell line. First, we optimized the sample preparation prior entering the mass spectrometer. We examined the effects of lysis buffer composition, peptide dissolution protocol and the material of sample vial on the number of proteins identified in spectral library. Next, we optimized mass spectrometry (MS) method for spectral library data acquisition. Our thorough optimized protocol for spectral library building enabled the identification of 1,653 proteins (FDR < 1%) in 1 µg of MCF-7 lysate. This work contributed to the enhancement of protein coverage in SWATH digital biobanks which enable quantification of arbitrary protein from physically unavailable samples. In future, high quality spectral libraries could play a key role in preparing of patient proteome digital fingerprints.Key words: biomarker - mass spectrometry - proteomics - digital biobanking - SWATH - protein quantificationThis work was supported by the project MEYS - NPS I - LO1413.The authors declare they have no potential conflicts of interest concerning drugs, products, or services used in the study.The Editorial Board declares that the manuscript met the ICMJE recommendation for biomedical papers.Submitted: 7. 5. 2016Accepted: 9. 6. 2016.

E-oncology and health portals: instructions and standards for the evaluation, production organisation and use.

PubMed

Cognetti, G; Cecere, L

2003-12-01

In 2002 the Italian Ministry of Health promoted the institution of a network and a web portal, E-oncology (2), for the seven NHS research institutions specialising in oncology (Istituti di Ricovero e Cura a Carattere Scientifico-IRCCS). One of the aims was to gather and provide information on tumoral pathologies to operators and the public. For an optimum organisation of a health web site it is necessary to comply with the standards internationally used. The World Wide Web Consortium (W3C) has developed guidelines for accessibility and usability of the sites, implemented in Italy through governmental issues. Many international organisations adopt rules and codes of conduct to validate biomedical information and have organised quality portals such as NLM, OMNI, MEDCIRCLE, HON etc. Some terminological standards, such as the MESH thesaurus and UMLS, have been produced by the libraries for a correct management and an effective information retrieval, and are currently used by the most important biomedical web sites. The Dublin Core, metadata standard for the integration of information deriving from heterogeneous archives, has also been developed by the libraries. The easy access to information dims the complex architecture necessary for the construction of a web site. The contribution of different professionals is necessary to guarantee the production of quality medical/health web sites, among them librarians have always been involved with the management of knowledge and their skills are extremely valuable. Furthermore, the libraries' network is essential in order to guarantee universal access to health information, mostly still against payment, and to contribute to overcoming the 'digital divide' and 'second-level digital divide'.

Teaching evidence-based practice at the University of Texas Health Science Center at San Antonio dental school.

PubMed

Rugh, John D; Hendricson, William D; Glass, Birgit J; Hatch, John P; Deahl, S Thomas; Guest, Gary; Ongkiko, Richard; Gureckis, Kevin; Jones, Archie A; Rose, William F; Gakunga, Peter; Stark, Debra; Steffensen, Bjorn

2011-02-01

The overarching goal of the Evidence-Based Practice Program at San Antonio is to provide our graduates with life-long learning skills that will enable them to keep up-to-date and equip them with the best possible patient care skills during their 30-40 years of practice. Students are taught to (1) ask focused clinical questions, (2) search the biomedical research literature (PubMed) for the most recent and highest level of evidence, (3) critically evaluate the evidence, and (4) make clinical judgments about the applicability of the evidence for their patients. Students must demonstrate competency with these "just-in-time" learning skills through writing concise one-page Critically Appraised Topics (CATs) on focused clinical questions. The school has established an online searchable library of these Critically Appraised Topics. This library provides students and faculty with rapid, up-to-date evidence-based answers to clinical questions. The long-range plan is to make this online library available to practitioners and the public.

Bibliographies. The Librarian's Bookshelf.

ERIC Educational Resources Information Center

Bourdon, Cathleen

2002-01-01

This bibliography for materials helpful to librarians includes works relating to administration and personnel; bibliographic instruction; information literacy; cataloging and classification; children's and adolescent services and materials; collection development; copyright; distance education; electronic libraries; evaluation; fund raising;…

Automated Library System Specifications.

DTIC Science & Technology

1986-06-01

University), LIS (Georqetown Universitv Medical Center) 20 DiSTRI3UT!ON.. AVAILABILITY OF ABSTRACT 21 ABSTRACT SECURITY CLASSIFICATION :UNCLASSIFIED...Interface) acquisitions, patron access catalo. (Boolean search), authority Afiles, zana ~ezient reports. Serials control expected in 1985. INDIVIDUALIZATIOI

Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework.

PubMed

Yin, X-X; Zhang, Y; Cao, J; Wu, J-L; Hadjiloucas, S

2016-12-01

We provide a comprehensive account of recent advances in biomedical image analysis and classification from two complementary imaging modalities: terahertz (THz) pulse imaging and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The work aims to highlight underlining commonalities in both data structures so that a common multi-channel data fusion framework can be developed. Signal pre-processing in both datasets is discussed briefly taking into consideration advances in multi-resolution analysis and model based fractional order calculus system identification. Developments in statistical signal processing using principal component and independent component analysis are also considered. These algorithms have been developed independently by the THz-pulse imaging and DCE-MRI communities, and there is scope to place them in a common multi-channel framework to provide better software standardization at the pre-processing de-noising stage. A comprehensive discussion of feature selection strategies is also provided and the importance of preserving textural information is highlighted. Feature extraction and classification methods taking into consideration recent advances in support vector machine (SVM) and extreme learning machine (ELM) classifiers and their complex extensions are presented. An outlook on Clifford algebra classifiers and deep learning techniques suitable to both types of datasets is also provided. The work points toward the direction of developing a new unified multi-channel signal processing framework for biomedical image analysis that will explore synergies from both sensing modalities for inferring disease proliferation. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Exploiting semantic patterns over biomedical knowledge graphs for predicting treatment and causative relations.

PubMed

Bakal, Gokhan; Talari, Preetham; Kakani, Elijah V; Kavuluru, Ramakanth

2018-06-01

Identifying new potential treatment options for medical conditions that cause human disease burden is a central task of biomedical research. Since all candidate drugs cannot be tested with animal and clinical trials, in vitro approaches are first attempted to identify promising candidates. Likewise, identifying different causal relations between biomedical entities is also critical to understand biomedical processes. Generally, natural language processing (NLP) and machine learning are used to predict specific relations between any given pair of entities using the distant supervision approach. To build high accuracy supervised predictive models to predict previously unknown treatment and causative relations between biomedical entities based only on semantic graph pattern features extracted from biomedical knowledge graphs. We used 7000 treats and 2918 causes hand-curated relations from the UMLS Metathesaurus to train and test our models. Our graph pattern features are extracted from simple paths connecting biomedical entities in the SemMedDB graph (based on the well-known SemMedDB database made available by the U.S. National Library of Medicine). Using these graph patterns connecting biomedical entities as features of logistic regression and decision tree models, we computed mean performance measures (precision, recall, F-score) over 100 distinct 80-20% train-test splits of the datasets. For all experiments, we used a positive:negative class imbalance of 1:10 in the test set to model relatively more realistic scenarios. Our models predict treats and causes relations with high F-scores of 99% and 90% respectively. Logistic regression model coefficients also help us identify highly discriminative patterns that have an intuitive interpretation. We are also able to predict some new plausible relations based on false positives that our models scored highly based on our collaborations with two physician co-authors. Finally, our decision tree models are able to retrieve over 50% of treatment relations from a recently created external dataset. We employed semantic graph patterns connecting pairs of candidate biomedical entities in a knowledge graph as features to predict treatment/causative relations between them. We provide what we believe is the first evidence in direct prediction of biomedical relations based on graph features. Our work complements lexical pattern based approaches in that the graph patterns can be used as additional features for weakly supervised relation prediction. Copyright © 2018 Elsevier Inc. All rights reserved.

Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts.

PubMed

Sharma, Vivekanand; Law, Wayne; Balick, Michael J; Sarkar, Indra Neil

2017-01-01

The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use information from natural language text is a challenging task for ethnobotanists. To date, there have been only limited adoption of informatics approaches used for supporting the identification of ethnobotanical information associated with medicinal uses. This study explored the feasibility of using biomedical terminologies and natural language processing approaches for extracting relevant plant-associated therapeutic use information from historical biodiversity literature collection available from the Biodiversity Heritage Library. The results from this preliminary study suggest that there is potential utility of informatics methods to identify medicinal plant knowledge from digitized resources as well as highlight opportunities for improvement.

Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts

PubMed Central

Sharma, Vivekanand; Law, Wayne; Balick, Michael J.; Sarkar, Indra Neil

2017-01-01

The growing amount of data describing historical medicinal uses of plants from digitization efforts provides the opportunity to develop systematic approaches for identifying potential plant-based therapies. However, the task of cataloguing plant use information from natural language text is a challenging task for ethnobotanists. To date, there have been only limited adoption of informatics approaches used for supporting the identification of ethnobotanical information associated with medicinal uses. This study explored the feasibility of using biomedical terminologies and natural language processing approaches for extracting relevant plant-associated therapeutic use information from historical biodiversity literature collection available from the Biodiversity Heritage Library. The results from this preliminary study suggest that there is potential utility of informatics methods to identify medicinal plant knowledge from digitized resources as well as highlight opportunities for improvement. PMID:29854223

World Biomedical Journals, 1951-60: A Study of the Relative Significance of 1,388 Titles Indexed in Current List of Medical Literature*

PubMed Central

Raisig, L. Miles

1966-01-01

This study is an application of the relationship of serial articles published to serial articles cited, developed in theory in the author's “Statistical Bibliography in the Health Sciences” (Bulletin 50: 450-461, July 1962). A ranked list of the indexes of significance of most of the serials indexed in Current List of Medical Literature was derived and erected from 21,000 citations secured in a random sampling of 1962 and 1961 biomedical journals regularly received in the Yale Medical Library. The author measures the gross indexing effectiveness of Current List against his indexes of significance, offers his method and results as means to reach objective standards for indexing and abstracting, and projects his results as measures of general value of the serials analyzed. PMID:5952248

Compound Libraries: Recent Advances and Their Applications in Drug Discovery.

PubMed

Gong, Zhen; Hu, Guoping; Li, Qiang; Liu, Zhiguo; Wang, Fei; Zhang, Xuejin; Xiong, Jian; Li, Peng; Xu, Yan; Ma, Rujian; Chen, Shuhui; Li, Jian

2017-01-01

Hit identification is the starting point of small-molecule drug discovery and is therefore very important to the pharmaceutical industry. One of the most important approaches to identify a new hit is to screen a compound library using an in vitro assay. High-throughput screening has made great contributions to drug discovery since the 1990s but requires expensive equipment and facilities, and its success depends on the size of the compound library. Recent progress in the development of compound libraries has provided more efficient ways to identify new hits for novel drug targets, thereby helping to promote the development of the pharmaceutical industry, especially for firstin- class drugs. A multistage and systematic research of articles published between 1986 and 2017 has been performed, which was organized into 5 sections and discussed in detail. In this review, the sources and classification of compound libraries are summarized. The progress made in combinatorial libraries and DNA-encoded libraries is reviewed. Library design methods, especially for focused libraries, are introduced in detail. In the final part, the status of the compound libraries at WuXi is reported. The progress related to compound libraries, especially drug template libraries, DELs, and focused libraries, will help to identify better hits for novel drug targets and promote the development of the pharmaceutical industry. Moreover, these libraries can facilitate hit identification, which benefits most research organizations, including academics and small companies. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

[Alternative sources for a history of sciences].

PubMed

Edler, F

In this study we call attention to the importance of Manguinhos' scientific collections, which preserve a major portion of the memory of scientific practice as developed by Brazilian researchers in the field of biomedical sciences. We make use of these collections to approach some little-known aspects of scientific activity: the historical evaluation of forms of zoological classification and efforts as legitimating scientific practice.

Spaceflight Decompression Sickness Contingency Plan

NASA Technical Reports Server (NTRS)

Dervay, Joseph P.

2007-01-01

A viewgraph presentation on the Decompression Sickness (DCS) Contingency Plan for manned spaceflight is shown. The topics include: 1) Approach; 2) DCS Contingency Plan Overview; 3) Extravehicular Activity (EVA) Cuff Classifications; 4) On-orbit Treatment Philosophy; 5) Long Form Malfunction Procedure (MAL); 6) Medical Checklist; 7) Flight Rules; 8) Crew Training; 9) Flight Surgeon / Biomedical Engineer (BME) Training; and 10) DCS Emergency Landing Site.

Environmental/chemical thesaurus

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shriner, C.R.; Dailey, N.S.; Jordan, A.C.

The Environmental/Chemical Thesaurus approaches scientific language control problems from a multidisciplinary view. The Environmental/Biomedical Terminology Index (EBTI) was used as a base for the present thesaurus. The Environmental/Chemical Thesaurus, funded by the Environmental Protection Agency, used as its source of new terms those major terms found in 13 Environmental Protection Agency data bases. The scope of this thesaurus includes not only environmental and biomedical sciences, but also the physical sciences with emphasis placed on chemistry. Specific chemical compounds are not included; only classes of chemicals are given. To adhere to this level of classification, drugs and pesticides are identified bymore » class rather than by specific chemical name. An attempt was also made to expand the areas of sociology and economics. Terminology dealing with law, demography, and geography was expanded. Proper names of languages and races were excluded. Geographic terms were expanded to include proper names for oceans, continents, major lakes, rivers, and islands. Political divisions were added to allow for proper names of countries and states. With such a broad scope, terminology for specific sciences does not provide for indexing to the lowest levels in plant, animal, or chemical classifications.« less

Improving medical diagnosis reliability using Boosted C5.0 decision tree empowered by Particle Swarm Optimization.

PubMed

Pashaei, Elnaz; Ozen, Mustafa; Aydin, Nizamettin

2015-08-01

Improving accuracy of supervised classification algorithms in biomedical applications is one of active area of research. In this study, we improve the performance of Particle Swarm Optimization (PSO) combined with C4.5 decision tree (PSO+C4.5) classifier by applying Boosted C5.0 decision tree as the fitness function. To evaluate the effectiveness of our proposed method, it is implemented on 1 microarray dataset and 5 different medical data sets obtained from UCI machine learning databases. Moreover, the results of PSO + Boosted C5.0 implementation are compared to eight well-known benchmark classification methods (PSO+C4.5, support vector machine under the kernel of Radial Basis Function, Classification And Regression Tree (CART), C4.5 decision tree, C5.0 decision tree, Boosted C5.0 decision tree, Naive Bayes and Weighted K-Nearest neighbor). Repeated five-fold cross-validation method was used to justify the performance of classifiers. Experimental results show that our proposed method not only improve the performance of PSO+C4.5 but also obtains higher classification accuracy compared to the other classification methods.

Special Programs in Medical Library Education, 1957-1971: Part III. The Trainees *†

PubMed Central

Roper, Fred W.

1974-01-01

This report describes the personal characteristics of the former trainees and their opinions about their training program experiences. More of the degree program trainees were under thirty (71%) than was the case with the internship program trainees (45%). The male-female ratio for each of the two groups is approximately 1:4. Approximately 60% of the degree program trainees entered their training with majors in the natural or health sciences, while less than 50% of the total group hold degrees in the natural or health sciences. Slightly less than 60% of the total group of trainees were employed in medical libraries in 1971. However, 68.5% of the internship program trainees as compared to 46.0% of the degree program trainees held positions in medical libraries. The reasons cited most often for leaving medical librarianship were the lack of available positions and student status. The major reasons indicated by the former trainees for entering the medical library education programs were an interest in the biomedical subject fields, the availability of funds, and the desire to gain experience. The reactions of the former trainees to their training program experiences were favorable. PMID:4462687

Implementing a 3D printing service in a biomedical library

PubMed Central

Walker, Verma

2017-01-01

Three-dimensional (3D) printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH) Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work. PMID:28096747

Implementing a 3D printing service in a biomedical library.

PubMed

Walker, Verma

2017-01-01

Three-dimensional (3D) printing is opening new opportunities in biomedicine by enabling creative problem solving, faster prototyping of ideas, advances in tissue engineering, and customized patient solutions. The National Institutes of Health (NIH) Library purchased a Makerbot Replicator 2 3D printer to give scientists a chance to try out this technology. To launch the service, the library offered training, conducted a survey on service model preferences, and tracked usage and class attendance. 3D printing was very popular, with new lab equipment prototypes being the most common model type. Most survey respondents indicated they would use the service again and be willing to pay for models. There was high interest in training for 3D modeling, which has a steep learning curve. 3D printers also require significant care and repairs. NIH scientists are using 3D printing to improve their research, and it is opening new avenues for problem solving in labs. Several scientists found the 3D printer so helpful they bought one for their labs. Having a printer in a central and open location like a library can help scientists, doctors, and students learn how to use this technology in their work.

Advanced Refrigerator/Freezer Technology Development. Technology Assessment

NASA Technical Reports Server (NTRS)

Gaseor, Thomas; Hunter, Rick; Hamill, Doris

1996-01-01

The NASA Lewis Research Center, through contract with Oceaneering Space Systems, is engaged in a project to develop advanced refrigerator/freezer (R/F) technologies for future Life and Biomedical Sciences space flight missions. The first phase of this project, a technology assessment, has been completed to identify the advanced R/F technologies needed and best suited to meet the requirements for the five R/F classifications specified by Life and Biomedical Science researchers. Additional objectives of the technology assessment were to rank those technologies based on benefit and risk, and to recommend technology development activities that can be accomplished within this project. This report presents the basis, the methodology, and results of the R/F technology assessment, along with technology development recommendations.

Do pre-trained deep learning models improve computer-aided classification of digital mammograms?

NASA Astrophysics Data System (ADS)

Aboutalib, Sarah S.; Mohamed, Aly A.; Zuley, Margarita L.; Berg, Wendie A.; Luo, Yahong; Wu, Shandong

2018-02-01

Digital mammography screening is an important exam for the early detection of breast cancer and reduction in mortality. False positives leading to high recall rates, however, results in unnecessary negative consequences to patients and health care systems. In order to better aid radiologists, computer-aided tools can be utilized to improve distinction between image classifications and thus potentially reduce false recalls. The emergence of deep learning has shown promising results in the area of biomedical imaging data analysis. This study aimed to investigate deep learning and transfer learning methods that can improve digital mammography classification performance. In particular, we evaluated the effect of pre-training deep learning models with other imaging datasets in order to boost classification performance on a digital mammography dataset. Two types of datasets were used for pre-training: (1) a digitized film mammography dataset, and (2) a very large non-medical imaging dataset. By using either of these datasets to pre-train the network initially, and then fine-tuning with the digital mammography dataset, we found an increase in overall classification performance in comparison to a model without pre-training, with the very large non-medical dataset performing the best in improving the classification accuracy.

Cell dynamic morphology classification using deep convolutional neural networks.

PubMed

Li, Heng; Pang, Fengqian; Shi, Yonggang; Liu, Zhiwen

2018-05-15

Cell morphology is often used as a proxy measurement of cell status to understand cell physiology. Hence, interpretation of cell dynamic morphology is a meaningful task in biomedical research. Inspired by the recent success of deep learning, we here explore the application of convolutional neural networks (CNNs) to cell dynamic morphology classification. An innovative strategy for the implementation of CNNs is introduced in this study. Mouse lymphocytes were collected to observe the dynamic morphology, and two datasets were thus set up to investigate the performances of CNNs. Considering the installation of deep learning, the classification problem was simplified from video data to image data, and was then solved by CNNs in a self-taught manner with the generated image data. CNNs were separately performed in three installation scenarios and compared with existing methods. Experimental results demonstrated the potential of CNNs in cell dynamic morphology classification, and validated the effectiveness of the proposed strategy. CNNs were successfully applied to the classification problem, and outperformed the existing methods in the classification accuracy. For the installation of CNNs, transfer learning was proved to be a promising scheme. © 2018 International Society for Advancement of Cytometry. © 2018 International Society for Advancement of Cytometry.

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis.

PubMed

Giannakopoulos, Theodoros

2015-01-01

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc. This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/). Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). The feedback provided from all these particular audio applications has led to practical enhancement of the library.

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis

PubMed Central

Giannakopoulos, Theodoros

2015-01-01

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc. This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/). Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). The feedback provided from all these particular audio applications has led to practical enhancement of the library. PMID:26656189

Advanced EMI Models and Classification Algorithms: The Next Level of Sophistication to Improve Discrimination of Challenging Targets

DTIC Science & Technology

2017-01-01

Inverted effective ONVMS for an M30 Bomb in a test-stand scenario. The target is oriented 45 degrees at a depth of 150 cm depth (top) and oriented...vertically at a depth of 210 cm (bottom). The red lines are the total ONVMS for a library AN M30 Bomb , and the other lines correspond to the...Centimeter DE Differential Evolution DLL Dynamic Link Libraries DoD Department of Defense EM Electromagnetic EMA Expectation

Biomedical information @ the speed of light: implementing desktop access to publishers' resources at the Paterson Institute for Cancer Research.

PubMed

Glover, S W

2001-06-01

Shortly after midnight every Thursday morning, a list server in Massachusetts delivers an electronic table of contents message to the Kostoris Medical Library at the Paterson Institute for Cancer Research in Manchester, UK. The messageins details of the latest edition of the New England Journal of Medicine, complete with hyperlinks to the full text of the content online. Publishers' electronic current awareness services have been integrated into the dissemination process of the Library service to enhance the speed of communication and access to full text content. As a means of promoting electronic journal use, a system of e-mail delivery coupled with fast Internet access has allowed a migration from paper-based current awareness alerting to a seamless online product.

In-Depth Indexing of Monograph Literature for an On-Line Retrieval System: A Pilot Project *

PubMed Central

Egeland, Janet

1972-01-01

One of the unique features of the State University of New York (SUNY) Biomedical Communication Network is the availability of depth-indexed monograph information for on-line retrieval. Approximately 8,000 titles from the Upstate Medical Center Library collection in Syracuse, New York, were indexed in depth, chapter-by-chapter, as to subject content using the control vocabulary Medical Subject Headings. Detailed indexing of monographic conference proceedings was considered of particular importance to the project. This attempt to make monograph literature more readily accessible to medical library patrons is interesting from both a philosophical and a technical point of view. This paper will discuss both of these aspects, giving an overall description of the nature of this innovative project. PMID:4403377

Editorial quality, diffusion and bibliometric indicators of the Revista Espaãnola de Enfermedades Digestivas.

PubMed

López-Cózar, E D; Ruiz-Pérez, R; Jiménez-Contreras, E

1999-01-01

To evaluate the editorial quality, diffusion, relevance of the scientific content, and the publication practices of the specialised journal Revista Española de Enfermedades Digestivas. We checked 136 parameters based on ISO standards, the recommendations of scientific and editorial organisations, and studies of scientific editing and international publishing practices for biomedical journals. Diffusion was calculated using national and international databases, specialised libraries in Spain, and Internet sources. The analysis of the scientific content and publication practices was based on bibliometric indicators for the journal, authorship, and contributions. The sample for this study comprised six alternate issues of volume number 88 (1996), the last issue of this volume, and the first issue of volume 89 (1997). The samples used for the bibliometric analysis varied depending on the characteristics of specific indicators and the availability of information. The overall mean value for compliance with standards was 46.1%, while the real mean was calculated at 72.21%. The editorial procedures at the journal are similar to those of analogous international journals. The Revista Española de Enfermedades Digestivas is included in international databases of biomedical journals, and in the interdisciplinary international database SCI. It was found to be present in 70% of the medical libraries of Spanish universities, and in 73% of the hospital libraries studied. Bibliometric indicators showed co-authorship to be 5.5%; the origin of the authors grouped by province and by type of institutional affiliations showed 27.8% of all authors to be from Madrid, and that more were affiliated with general hospitals than with university hospitals. The mean delay between initial receipt of a manuscript and its publication was 300 days. Cocitation analysis gave the journal a central position amongst the 38 Spanish biomedical journals considered representative of the field. The journal's impact factor for 1996 was 0.260. The Revista Española de Enfermedades Digestivas is a high-quality vehicle of research results, and has acceptable internal editorial procedures. The journal is widely distributed, though its visibility on the Internet should be improved. Co-authorship is similar to that seen in other medical journals. Steps should be taken to make this journal better known within Spain, and to reduce the delay between the initial receipt and the final publication of manuscripts. Its impact factor is increasing steadily.

Metagenomics of an Alkaline Hot Spring in Galicia (Spain): Microbial Diversity Analysis and Screening for Novel Lipolytic Enzymes.

PubMed

López-López, Olalla; Knapik, Kamila; Cerdán, Maria-Esperanza; González-Siso, María-Isabel

2015-01-01

A fosmid library was constructed with the metagenomic DNA from the water of the Lobios hot spring (76°C, pH = 8.2) located in Ourense (Spain). Metagenomic sequencing of the fosmid library allowed the assembly of 9722 contigs ranging in size from 500 to 56,677 bp and spanning ~18 Mbp. 23,207 ORFs (Open Reading Frames) were predicted from the assembly. Biodiversity was explored by taxonomic classification and it revealed that bacteria were predominant, while the archaea were less abundant. The six most abundant bacterial phyla were Deinococcus-Thermus, Proteobacteria, Firmicutes, Acidobacteria, Aquificae, and Chloroflexi. Within the archaeal superkingdom, the phylum Thaumarchaeota was predominant with the dominant species "Candidatus Caldiarchaeum subterraneum." Functional classification revealed the genes associated to one-carbon metabolism as the most abundant. Both taxonomic and functional classifications showed a mixture of different microbial metabolic patterns: aerobic and anaerobic, chemoorganotrophic and chemolithotrophic, autotrophic and heterotrophic. Remarkably, the presence of genes encoding enzymes with potential biotechnological interest, such as xylanases, galactosidases, proteases, and lipases, was also revealed in the metagenomic library. Functional screening of this library was subsequently done looking for genes encoding lipolytic enzymes. Six genes conferring lipolytic activity were identified and one was cloned and characterized. This gene was named LOB4Est and it was expressed in a yeast mesophilic host. LOB4Est codes for a novel esterase of family VIII, with sequence similarity to β-lactamases, but with unusual wide substrate specificity. When the enzyme was purified from the mesophilic host it showed half-life of 1 h and 43 min at 50°C, and maximal activity at 40°C and pH 7.5 with p-nitrophenyl-laurate as substrate. Interestingly, the enzyme retained more than 80% of maximal activity in a broad range of pH from 6.5 to 8.

SALP, a new single-stranded DNA library preparation method especially useful for the high-throughput characterization of chromatin openness states.

PubMed

Wu, Jian; Dai, Wei; Wu, Lin; Wang, Jinke

2018-02-13

Next-generation sequencing (NGS) is fundamental to the current biological and biomedical research. Construction of sequencing library is a key step of NGS. Therefore, various library construction methods have been explored. However, the current methods are still limited by some shortcomings. This study developed a new NGS library construction method, Single strand Adaptor Library Preparation (SALP), by using a novel single strand adaptor (SSA). SSA is a double-stranded oligonucleotide with a 3' overhang of 3 random nucleotides, which can be efficiently ligated to the 3' end of single strand DNA by T4 DNA ligase. SALP can be started with any denatured DNA fragments such as those sheared by Tn5 tagmentation, enzyme digestion and sonication. When started with Tn5-tagmented chromatin, SALP can overcome a key limitation of ATAC-seq and become a high-throughput NGS library construction method, SALP-seq, which can be used to comparatively characterize the chromatin openness state of multiple cells unbiasly. In this way, this study successfully characterized the comparative chromatin openness states of four different cell lines, including GM12878, HepG2, HeLa and 293T, with SALP-seq. Similarly, this study also successfully characterized the chromatin openness states of HepG2 cells with SALP-seq by using 10 5 to 500 cells. This study developed a new NGS library construction method, SALP, by using a novel kind of single strand adaptor (SSA), which should has wide applications in the future due to its unique performance.

Identification of biomedical journals in Spain and Latin America.

PubMed

Bonfill, Xavier; Osorio, Dimelza; Posso, Margarita; Solà, Ivan; Rada, Gabriel; Torres, Ania; García Dieguez, Marcelo; Piña-Pozas, Maricela; Díaz-García, Luisa; Tristán, Mario; Gandarilla, Omar; Rincón-Valenzuela, David A; Martí, Arturo; Hidalgo, Ricardo; Simancas-Racines, Daniel; López, Luis; Correa, Ricardo; Rojas-De-Arias, Antonieta; Loza, César; Gianneo, Óscar; Pardo, Hector

2015-12-01

Journals in languages other than English that publish original clinical research are often not well covered in the main biomedical databases and therefore often not included in systematic reviews. This study aimed to identify Spanish language biomedical journals from Spain and Latin America and to describe their main features. Journals were identified in electronic databases, publishers' catalogues and local registries. Eligibility was determined by assessing data from these sources or the journals' websites, when available. A total of 2457 journals were initially identified; 1498 met inclusion criteria. Spain (27.3%), Mexico (16.0%), Argentina (15.1%) and Chile (11.9%) had the highest number of journals. Most (85.8%) are currently active; 87.8% have an ISSN. The median and mean length of publication were 22 and 29 years, respectively. A total of 66.0% were indexed in at least one database; 3.0% had an impact factor in 2012. A total of 845 journals had websites (56.4%), of which 700 (82.8%) were searchable and 681 (80.6%) free of charge. Most of the identified journals have no impact factor or are not indexed in any of the major databases. The list of identified biomedical journals can be a useful resource when conducting hand searching activities and identifying clinical trials that otherwise would not be retrieved. © 2015 Health Libraries Group.

A modular framework for biomedical concept recognition

PubMed Central

2013-01-01

Background Concept recognition is an essential task in biomedical information extraction, presenting several complex and unsolved challenges. The development of such solutions is typically performed in an ad-hoc manner or using general information extraction frameworks, which are not optimized for the biomedical domain and normally require the integration of complex external libraries and/or the development of custom tools. Results This article presents Neji, an open source framework optimized for biomedical concept recognition built around four key characteristics: modularity, scalability, speed, and usability. It integrates modules for biomedical natural language processing, such as sentence splitting, tokenization, lemmatization, part-of-speech tagging, chunking and dependency parsing. Concept recognition is provided through dictionary matching and machine learning with normalization methods. Neji also integrates an innovative concept tree implementation, supporting overlapped concept names and respective disambiguation techniques. The most popular input and output formats, namely Pubmed XML, IeXML, CoNLL and A1, are also supported. On top of the built-in functionalities, developers and researchers can implement new processing modules or pipelines, or use the provided command-line interface tool to build their own solutions, applying the most appropriate techniques to identify heterogeneous biomedical concepts. Neji was evaluated against three gold standard corpora with heterogeneous biomedical concepts (CRAFT, AnEM and NCBI disease corpus), achieving high performance results on named entity recognition (F1-measure for overlap matching: species 95%, cell 92%, cellular components 83%, gene and proteins 76%, chemicals 65%, biological processes and molecular functions 63%, disorders 85%, and anatomical entities 82%) and on entity normalization (F1-measure for overlap name matching and correct identifier included in the returned list of identifiers: species 88%, cell 71%, cellular components 72%, gene and proteins 64%, chemicals 53%, and biological processes and molecular functions 40%). Neji provides fast and multi-threaded data processing, annotating up to 1200 sentences/second when using dictionary-based concept identification. Conclusions Considering the provided features and underlying characteristics, we believe that Neji is an important contribution to the biomedical community, streamlining the development of complex concept recognition solutions. Neji is freely available at http://bioinformatics.ua.pt/neji. PMID:24063607

A scoping review of competencies for scientific editors of biomedical journals.

PubMed

Galipeau, James; Barbour, Virginia; Baskin, Patricia; Bell-Syer, Sally; Cobey, Kelly; Cumpston, Miranda; Deeks, Jon; Garner, Paul; MacLehose, Harriet; Shamseer, Larissa; Straus, Sharon; Tugwell, Peter; Wager, Elizabeth; Winker, Margaret; Moher, David

2016-02-02

Biomedical journals are the main route for disseminating the results of health-related research. Despite this, their editors operate largely without formal training or certification. To our knowledge, no body of literature systematically identifying core competencies for scientific editors of biomedical journals exists. Therefore, we aimed to conduct a scoping review to determine what is known on the competency requirements for scientific editors of biomedical journals. We searched the MEDLINE®, Cochrane Library, Embase®, CINAHL, PsycINFO, and ERIC databases (from inception to November 2014) and conducted a grey literature search for research and non-research articles with competency-related statements (i.e. competencies, knowledge, skills, behaviors, and tasks) pertaining to the role of scientific editors of peer-reviewed health-related journals. We also conducted an environmental scan, searched the results of a previous environmental scan, and searched the websites of existing networks, major biomedical journal publishers, and organizations that offer resources for editors. A total of 225 full-text publications were included, 25 of which were research articles. We extracted a total of 1,566 statements possibly related to core competencies for scientific editors of biomedical journals from these publications. We then collated overlapping or duplicate statements which produced a list of 203 unique statements. Finally, we grouped these statements into seven emergent themes: (1) dealing with authors, (2) dealing with peer reviewers, (3) journal publishing, (4) journal promotion, (5) editing, (6) ethics and integrity, and (7) qualities and characteristics of editors. To our knowledge, this scoping review is the first attempt to systematically identify possible competencies of editors. Limitations are that (1) we may not have captured all aspects of a biomedical editor's work in our searches, (2) removing redundant and overlapping items may have led to the elimination of some nuances between items, (3) restricting to certain databases, and only French and English publications, may have excluded relevant publications, and (4) some statements may not necessarily be competencies. This scoping review is the first step of a program to develop a minimum set of core competencies for scientific editors of biomedical journals which will be followed by a training needs assessment, a Delphi exercise, and a consensus meeting.

Dynamic Information and Library Processing.

ERIC Educational Resources Information Center

Salton, Gerard

This book provides an introduction to automated information services: collection, analysis, classification, storage, retrieval, transmission, and dissemination. An introductory chapter is followed by an overview of mechanized processes for acquisitions, cataloging, and circulation. Automatic indexing and abstracting methods are covered, followed…

Bibliographic Instruction in the 21st Century.

ERIC Educational Resources Information Center

Poirier, Gayle

2000-01-01

Discusses bibliographic instruction in libraries. Topics include a history of bibliographic instruction; the Internet and electronic searching; librarians' use of technology; defining information needs; locating and accessing information, including classification systems and Boolean searching; evaluating information; using and communication…

Procurement of Shared Data Instruments for Research Electronic Data Capture (REDCap)

PubMed Central

Obeid, Jihad S; McGraw, Catherine A; Minor, Brenda L; Conde, José G; Pawluk, Robert; Lin, Michael; Wang, Janey; Banks, Sean R; Hemphill, Sheree A; Taylor, Rob; Harris, Paul A

2012-01-01

REDCap (Research Electronic Data Capture) is a web-based software solution and tool set that allows biomedical researchers to create secure online forms for data capture, management and analysis with minimal effort and training. The Shared Data Instrument Library (SDIL) is a relatively new component of REDCap that allows sharing of commonly used data collection instruments for immediate study use by 3 research teams. Objectives of the SDIL project include: 1) facilitating reuse of data dictionaries and reducing duplication of effort; 2) promoting the use of validated data collection instruments, data standards and best practices; and 3) promoting research collaboration and data sharing. Instruments submitted to the library are reviewed by a library oversight committee, with rotating membership from multiple institutions, which ensures quality, relevance and legality of shared instruments. The design allows researchers to download the instruments in a consumable electronic format in the REDCap environment. At the time of this writing, the SDIL contains over 128 data collection instruments. Over 2500 instances of instruments have been downloaded by researchers at multiple institutions. In this paper we describe the library platform, provide detail about experience gained during the first 25 months of sharing public domain instruments and provide evidence of impact for the SDIL across the REDCap consortium research community. We postulate that the shared library of instruments reduces the burden of adhering to sound data collection principles while promoting best practices. PMID:23149159

Developing library bioinformatics services in context: the Purdue University Libraries bioinformationist program

PubMed Central

Rein, Diane C.

2006-01-01

Setting: Purdue University is a major agricultural, engineering, biomedical, and applied life science research institution with an increasing focus on bioinformatics research that spans multiple disciplines and campus academic units. The Purdue University Libraries (PUL) hired a molecular biosciences specialist to discover, engage, and support bioinformatics needs across the campus. Program Components: After an extended period of information needs assessment and environmental scanning, the specialist developed a week of focused bioinformatics instruction (Bioinformatics Week) to launch system-wide, library-based bioinformatics services. Evaluation Mechanisms: The specialist employed a two-tiered approach to assess user information requirements and expectations. The first phase involved careful observation and collection of information needs in-context throughout the campus, attending laboratory meetings, interviewing department chairs and individual researchers, and engaging in strategic planning efforts. Based on the information gathered during the integration phase, several survey instruments were developed to facilitate more critical user assessment and the recovery of quantifiable data prior to planning. Next Steps/Future Directions: Given information gathered while working with clients and through formal needs assessments, as well as the success of instructional approaches used in Bioinformatics Week, the specialist is developing bioinformatics support services for the Purdue community. The specialist is also engaged in training PUL faculty librarians in bioinformatics to provide a sustaining culture of library-based bioinformatics support and understanding of Purdue's bioinformatics-related decision and policy making. PMID:16888666

Developing library bioinformatics services in context: the Purdue University Libraries bioinformationist program.

PubMed

Rein, Diane C

2006-07-01

Purdue University is a major agricultural, engineering, biomedical, and applied life science research institution with an increasing focus on bioinformatics research that spans multiple disciplines and campus academic units. The Purdue University Libraries (PUL) hired a molecular biosciences specialist to discover, engage, and support bioinformatics needs across the campus. After an extended period of information needs assessment and environmental scanning, the specialist developed a week of focused bioinformatics instruction (Bioinformatics Week) to launch system-wide, library-based bioinformatics services. The specialist employed a two-tiered approach to assess user information requirements and expectations. The first phase involved careful observation and collection of information needs in-context throughout the campus, attending laboratory meetings, interviewing department chairs and individual researchers, and engaging in strategic planning efforts. Based on the information gathered during the integration phase, several survey instruments were developed to facilitate more critical user assessment and the recovery of quantifiable data prior to planning. Given information gathered while working with clients and through formal needs assessments, as well as the success of instructional approaches used in Bioinformatics Week, the specialist is developing bioinformatics support services for the Purdue community. The specialist is also engaged in training PUL faculty librarians in bioinformatics to provide a sustaining culture of library-based bioinformatics support and understanding of Purdue's bioinformatics-related decision and policy making.

Learning Discriminative Sparse Models for Source Separation and Mapping of Hyperspectral Imagery

DTIC Science & Technology

2010-10-01

allowing spectroscopic analysis. The data acquired by these spectrometers play significant roles in biomedical, environmental, land-survey, and...noisy in nature , so there are differences between the true and the observed signals. In addition, there are distortions associated with atmosphere... handwriting classification, showing advantages of using both terms instead of only using the reconstruction term as in previous approaches. C. Dictionary

Assessment of statistical methods used in library-based approaches to microbial source tracking.

PubMed

Ritter, Kerry J; Carruthers, Ethan; Carson, C Andrew; Ellender, R D; Harwood, Valerie J; Kingsley, Kyle; Nakatsu, Cindy; Sadowsky, Michael; Shear, Brian; West, Brian; Whitlock, John E; Wiggins, Bruce A; Wilbur, Jayson D

2003-12-01

Several commonly used statistical methods for fingerprint identification in microbial source tracking (MST) were examined to assess the effectiveness of pattern-matching algorithms to correctly identify sources. Although numerous statistical methods have been employed for source identification, no widespread consensus exists as to which is most appropriate. A large-scale comparison of several MST methods, using identical fecal sources, presented a unique opportunity to assess the utility of several popular statistical methods. These included discriminant analysis, nearest neighbour analysis, maximum similarity and average similarity, along with several measures of distance or similarity. Threshold criteria for excluding uncertain or poorly matched isolates from final analysis were also examined for their ability to reduce false positives and increase prediction success. Six independent libraries used in the study were constructed from indicator bacteria isolated from fecal materials of humans, seagulls, cows and dogs. Three of these libraries were constructed using the rep-PCR technique and three relied on antibiotic resistance analysis (ARA). Five of the libraries were constructed using Escherichia coli and one using Enterococcus spp. (ARA). Overall, the outcome of this study suggests a high degree of variability across statistical methods. Despite large differences in correct classification rates among the statistical methods, no single statistical approach emerged as superior. Thresholds failed to consistently increase rates of correct classification and improvement was often associated with substantial effective sample size reduction. Recommendations are provided to aid in selecting appropriate analyses for these types of data.

Bibliographic control of audiovisuals: analysis of a cataloging project using OCLC.

PubMed

Curtis, J A; Davison, F M

1985-04-01

The staff of the Quillen-Dishner College of Medicine Library cataloged 702 audiovisual titles between July 1, 1982, and June 30, 1983, using the OCLC database. This paper discusses the library's audiovisual collection and describes the method and scope of a study conducted during this project, the cataloging standards and conventions adopted, the assignment and use of NLM classification, the provision of summaries for programs, and the amount of staff time expended in cataloging typical items. An analysis of the use of OCLC for this project resulted in the following findings: the rate of successful searches for audiovisual copy was 82.4%; the error rate for records used was 41.9%; modifications were required in every record used; the Library of Congress and seven member institutions provided 62.8% of the records used. It was concluded that the effort to establish bibliographic control of audiovisuals is not widespread and that expanded and improved audiovisual cataloging by the Library of Congress and the National Library of Medicine would substantially contribute to that goal.

Empowering biomedical engineering undergraduates to help teach design.

PubMed

Allen, Robert H; Tam, William; Shoukas, Artin A

2004-01-01

We report on our experience empowering upperclassmen and seniors to help teach design courses in biomedical engineering. Initiated in the fall of 1998, these courses are a projects-based set, where teams of students from freshmen level to senior level converge to solve practical problems in biomedical engineering. One goal in these courses is to teach the design process by providing experiences that mimic it. Student teams solve practical projects solicited from faculty, industry and the local community. To hone skills and have a metric for grading, written documentation, posters and oral presentations are required over the two-semester sequence. By requiring a mock design and build exercise in the fall, students appreciate the manufacturing process, the difficulties unforeseen in the design stage and the importance of testing. A Web-based, searchable design repository captures reporting information from each project since its inception. This serves as a resource for future projects, in addition to traditional ones such as library, outside experts and lab facilities. Based on results to date, we conclude that characteristics about our design program help students experience design and learn aspects about teamwork and mentoring useful in their profession or graduate education.

Essie: A Concept-based Search Engine for Structured Biomedical Text

PubMed Central

Ide, Nicholas C.; Loane, Russell F.; Demner-Fushman, Dina

2007-01-01

This article describes the algorithms implemented in the Essie search engine that is currently serving several Web sites at the National Library of Medicine. Essie is a phrase-based search engine with term and concept query expansion and probabilistic relevancy ranking. Essie’s design is motivated by an observation that query terms are often conceptually related to terms in a document, without actually occurring in the document text. Essie’s performance was evaluated using data and standard evaluation methods from the 2003 and 2006 Text REtrieval Conference (TREC) Genomics track. Essie was the best-performing search engine in the 2003 TREC Genomics track and achieved results comparable to those of the highest-ranking systems on the 2006 TREC Genomics track task. Essie shows that a judicious combination of exploiting document structure, phrase searching, and concept based query expansion is a useful approach for information retrieval in the biomedical domain. PMID:17329729

Object-oriented biomedical system modelling--the language.

PubMed

Hakman, M; Groth, T

1999-11-01

The paper describes a new object-oriented biomedical continuous system modelling language (OOBSML). It is fully object-oriented and supports model inheritance, encapsulation, and model component instantiation and behaviour polymorphism. Besides the traditional differential and algebraic equation expressions the language includes also formal expressions for documenting models and defining model quantity types and quantity units. It supports explicit definition of model input-, output- and state quantities, model components and component connections. The OOBSML model compiler produces self-contained, independent, executable model components that can be instantiated and used within other OOBSML models and/or stored within model and model component libraries. In this way complex models can be structured as multilevel, multi-component model hierarchies. Technically the model components produced by the OOBSML compiler are executable computer code objects based on distributed object and object request broker technology. This paper includes both the language tutorial and the formal language syntax and semantic description.

Heterogeneous data fusion for brain tumor classification.

PubMed

Metsis, Vangelis; Huang, Heng; Andronesi, Ovidiu C; Makedon, Fillia; Tzika, Aria

2012-10-01

Current research in biomedical informatics involves analysis of multiple heterogeneous data sets. This includes patient demographics, clinical and pathology data, treatment history, patient outcomes as well as gene expression, DNA sequences and other information sources such as gene ontology. Analysis of these data sets could lead to better disease diagnosis, prognosis, treatment and drug discovery. In this report, we present a novel machine learning framework for brain tumor classification based on heterogeneous data fusion of metabolic and molecular datasets, including state-of-the-art high-resolution magic angle spinning (HRMAS) proton (1H) magnetic resonance spectroscopy and gene transcriptome profiling, obtained from intact brain tumor biopsies. Our experimental results show that our novel framework outperforms any analysis using individual dataset.

Incorporating domain knowledge in chemical and biomedical named entity recognition with word representations.

PubMed

Munkhdalai, Tsendsuren; Li, Meijing; Batsuren, Khuyagbaatar; Park, Hyeon Ah; Choi, Nak Hyeon; Ryu, Keun Ho

2015-01-01

Chemical and biomedical Named Entity Recognition (NER) is an essential prerequisite task before effective text mining can begin for biochemical-text data. Exploiting unlabeled text data to leverage system performance has been an active and challenging research topic in text mining due to the recent growth in the amount of biomedical literature. We present a semi-supervised learning method that efficiently exploits unlabeled data in order to incorporate domain knowledge into a named entity recognition model and to leverage system performance. The proposed method includes Natural Language Processing (NLP) tasks for text preprocessing, learning word representation features from a large amount of text data for feature extraction, and conditional random fields for token classification. Other than the free text in the domain, the proposed method does not rely on any lexicon nor any dictionary in order to keep the system applicable to other NER tasks in bio-text data. We extended BANNER, a biomedical NER system, with the proposed method. This yields an integrated system that can be applied to chemical and drug NER or biomedical NER. We call our branch of the BANNER system BANNER-CHEMDNER, which is scalable over millions of documents, processing about 530 documents per minute, is configurable via XML, and can be plugged into other systems by using the BANNER Unstructured Information Management Architecture (UIMA) interface. BANNER-CHEMDNER achieved an 85.68% and an 86.47% F-measure on the testing sets of CHEMDNER Chemical Entity Mention (CEM) and Chemical Document Indexing (CDI) subtasks, respectively, and achieved an 87.04% F-measure on the official testing set of the BioCreative II gene mention task, showing remarkable performance in both chemical and biomedical NER. BANNER-CHEMDNER system is available at: https://bitbucket.org/tsendeemts/banner-chemdner.

Application of complex discrete wavelet transform in classification of Doppler signals using complex-valued artificial neural network.

PubMed

Ceylan, Murat; Ceylan, Rahime; Ozbay, Yüksel; Kara, Sadik

2008-09-01

In biomedical signal classification, due to the huge amount of data, to compress the biomedical waveform data is vital. This paper presents two different structures formed using feature extraction algorithms to decrease size of feature set in training and test data. The proposed structures, named as wavelet transform-complex-valued artificial neural network (WT-CVANN) and complex wavelet transform-complex-valued artificial neural network (CWT-CVANN), use real and complex discrete wavelet transform for feature extraction. The aim of using wavelet transform is to compress data and to reduce training time of network without decreasing accuracy rate. In this study, the presented structures were applied to the problem of classification in carotid arterial Doppler ultrasound signals. Carotid arterial Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The patient group included 22 males and 16 females with an established diagnosis of the early phase of atherosclerosis through coronary or aortofemoropopliteal (lower extremity) angiographies (mean age, 59 years; range, 48-72 years). Healthy volunteers were young non-smokers who seem to not bear any risk of atherosclerosis, including 28 males and 12 females (mean age, 23 years; range, 19-27 years). Sensitivity, specificity and average detection rate were calculated for comparison, after training and test phases of all structures finished. These parameters have demonstrated that training times of CVANN and real-valued artificial neural network (RVANN) were reduced using feature extraction algorithms without decreasing accuracy rate in accordance to our aim.

The Effect of the General Data Protection Regulation on Medical Research

PubMed Central

2017-01-01

Background The enactment of the General Data Protection Regulation (GDPR) will impact on European data science. Particular concerns relating to consent requirements that would severely restrict medical data research have been raised. Objective Our objective is to explain the changes in data protection laws that apply to medical research and to discuss their potential impact. Methods Analysis of ethicolegal requirements imposed by the GDPR. Results The GDPR makes the classification of pseudonymised data as personal data clearer, although it has not been entirely resolved. Biomedical research on personal data where consent has not been obtained must be of substantial public interest. Conclusions The GDPR introduces protections for data subjects that aim for consistency across the EU. The proposed changes will make little impact on biomedical data research. PMID:28235748

Identifying the ‘Vulnerables’ in Biomedical Research: the vox populis from the Tuskegee Legacy Project

PubMed Central

Wiley, John

2011-01-01

Objectives This report presents, for the first time, findings on the vox populis as to who constitutes the ‘vulnerables in biomedical research’. Methods The 3-City Tuskegee Legacy Project (TLP) study used the TLP Questionnaire as administered via RDD telephone interviews to 1,162 adult Blacks, non-Hispanic Whites, and two Puerto Rican (PR) Hispanic groups: Mainland U.S. and San Juan (SJ) in 3 cities. The classification schema was based upon respondents’ answers to an open-ended question asking which groups of people were the most vulnerable when participating in biomedical research. Results Subjects provided 749 valid open-ended responses which were grouped into 29 direct response categories, leading to a 4 tier classification schema for vulnerability traits. Tier 1, the summary tier, had five vulnerability categories: 1) Race/ethnicity; 2) Age; 3) SES; 4) Health; and, 5) Gender. Blacks and Mainland U.S. PR Hispanics most frequently identified Race/Ethnicity as a vulnerability trait (42.1% of Blacks and 42.6% of Mainland U.S. PR Hispanics vs. 15.4% of Whites and 16.7% of San Juan R Hispanics) (p<.007), while Whites and SJ PR Hispanics most frequently identified Age (48.3% and 29.2%) as a vulnerability trait. Conclusions The response patterns on ‘who was vulnerable’ were similar for the two minority groups (Blacks and Mainland U.S. PR Hispanics), and notably different from the response patterns of the two majority groups (Whites and SJPR Hispanics). Further, the vox populis definition of vulnerables differed from the current official definitions as used by the U.S. federal government. PMID:21972462

Identifying the "vulnerables" in biomedical research: the vox populis from the Tuskegee Legacy Project.

PubMed

Chiu, Christopher T; Katz, Ralph V

2011-01-01

This report presents, for the first time, findings on the vox populis as to who constitutes the "vulnerables in biomedical research" The 3-City Tuskegee Legacy Project (TLP) study used the TLP questionnaire as administered via random-digit-dial telephone interviews to 1162 adult Black people, non-Hispanic White people, and two Puerto Rican (PR) Hispanic groups: Mainland United States and San Juan (SJ) in three cities. The classification schema was based upon respondents' answers to an open-ended question asking which groups of people were the most vulnerable when participating in biomedical research. Subjects provided 749 valid open-ended responses, which were grouped into 29 direct response categories, leading to a four-tier classification schema for vulnerability traits. Tier 1, the summary tier, had five vulnerability categories: (1) Race/ ethnicity; (2) Age; (3) SES; (4) Health; and, (5) Gender. Black people and Mainland United States PR Hispanics most frequently identified Race/Ethnicity as a vulnerability trait (42.1 percent of Black people and 42.6 percent of Mainland United States. PR Hispanics versus 15.4 percent of White people and 16.7 percent of SJ R Hispanics) (P < 0.007), while White people and SJ PR Hispanics most frequently identified Age (48.3 percent and 29.2 percent) as a vulnerability trait. The response patterns on "who was vulnerable" were similar for the two minority groups (Black people and Mainland US PR Hispanics), and notably different from the response patterns of the two majority groups (White people and SJ PR Hispanics). Further, the vox populis definition of vulnerables differed from the current official definitions as used by the U.S. federal government.

SkData: data sets and algorithm evaluation protocols in Python

NASA Astrophysics Data System (ADS)

Bergstra, James; Pinto, Nicolas; Cox, David D.

2015-01-01

Machine learning benchmark data sets come in all shapes and sizes, whereas classification algorithms assume sanitized input, such as (x, y) pairs with vector-valued input x and integer class label y. Researchers and practitioners know all too well how tedious it can be to get from the URL of a new data set to a NumPy ndarray suitable for e.g. pandas or sklearn. The SkData library handles that work for a growing number of benchmark data sets (small and large) so that one-off in-house scripts for downloading and parsing data sets can be replaced with library code that is reliable, community-tested, and documented. The SkData library also introduces an open-ended formalization of training and testing protocols that facilitates direct comparison with published research. This paper describes the usage and architecture of the SkData library.

NCSTRL+: Adding Multi-Discipline and Multi-Genre Support to the Dienst Protocol Using Clusters and Buckets

NASA Technical Reports Server (NTRS)

Nelson, Michael L.; Maly, Kurt; Shen, Stewart N. T.; Zubair, Mohammad

1998-01-01

We describe NCSTRL+, a unified, canonical digital library for scientific and technical information (STI). NCSTRL+ is based on the Networked Computer Science Technical Report Library (NCSTRL), a World Wide Web (WWW) accessible digital library (DL) that provides access to over 100 university departments and laboratories. NCSTRL+ implements two new technologies: cluster functionality and publishing buckets. We have extended Dienst, the protocol underlying NCSTRL, to provide the ability to cluster independent collections into a logically centralized digital library based upon subject category classification, type of organization, and genres of material. The bucket construct provides a mechanism for publishing and managing logically linked entities with multiple data forms as a single object. The NCSTRL+ prototype DL contains the holdings of NCSTRL and the NASA Technical Report Server (NTRS). The prototype demonstrates the feasibility of publishing into a multi-cluster DL, searching across clusters, and storing and presenting buckets of information.

COSMOS: Python library for massively parallel workflows

PubMed Central

Gafni, Erik; Luquette, Lovelace J.; Lancaster, Alex K.; Hawkins, Jared B.; Jung, Jae-Yoon; Souilmi, Yassine; Wall, Dennis P.; Tonellato, Peter J.

2014-01-01

Summary: Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present COSMOS, a Python library for workflow management that allows formal description of pipelines and partitioning of jobs. In addition, it includes a user interface for tracking the progress of jobs, abstraction of the queuing system and fine-grained control over the workflow. Workflows can be created on traditional computing clusters as well as cloud-based services. Availability and implementation: Source code is available for academic non-commercial research purposes. Links to code and documentation are provided at http://lpm.hms.harvard.edu and http://wall-lab.stanford.edu. Contact: dpwall@stanford.edu or peter_tonellato@hms.harvard.edu. Supplementary information: Supplementary data are available at Bioinformatics online. PMID:24982428

COSMOS: Python library for massively parallel workflows.

PubMed

Gafni, Erik; Luquette, Lovelace J; Lancaster, Alex K; Hawkins, Jared B; Jung, Jae-Yoon; Souilmi, Yassine; Wall, Dennis P; Tonellato, Peter J

2014-10-15

Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present COSMOS, a Python library for workflow management that allows formal description of pipelines and partitioning of jobs. In addition, it includes a user interface for tracking the progress of jobs, abstraction of the queuing system and fine-grained control over the workflow. Workflows can be created on traditional computing clusters as well as cloud-based services. Source code is available for academic non-commercial research purposes. Links to code and documentation are provided at http://lpm.hms.harvard.edu and http://wall-lab.stanford.edu. dpwall@stanford.edu or peter_tonellato@hms.harvard.edu. Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

Extraction of endoscopic images for biomedical figure classification

NASA Astrophysics Data System (ADS)

Xue, Zhiyun; You, Daekeun; Chachra, Suchet; Antani, Sameer; Long, L. R.; Demner-Fushman, Dina; Thoma, George R.

2015-03-01

Modality filtering is an important feature in biomedical image searching systems and may significantly improve the retrieval performance of the system. This paper presents a new method for extracting endoscopic image figures from photograph images in biomedical literature, which are found to have highly diverse content and large variability in appearance. Our proposed method consists of three main stages: tissue image extraction, endoscopic image candidate extraction, and ophthalmic image filtering. For tissue image extraction we use image patch level clustering and MRF relabeling to detect images containing skin/tissue regions. Next, we find candidate endoscopic images by exploiting the round shape characteristics that commonly appear in these images. However, this step needs to compensate for images where endoscopic regions are not entirely round. In the third step we filter out the ophthalmic images which have shape characteristics very similar to the endoscopic images. We do this by using text information, specifically, anatomy terms, extracted from the figure caption. We tested and evaluated our method on a dataset of 115,370 photograph figures, and achieved promising precision and recall rates of 87% and 84%, respectively.

Can multilinguality improve Biomedical Word Sense Disambiguation?

PubMed

Duque, Andres; Martinez-Romo, Juan; Araujo, Lourdes

2016-12-01

Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate systems able to tackle complex tasks such as information extraction, summarization or document classification. In this work we explore whether multilinguality can help to solve the problem of ambiguity, and the conditions required for a system to improve the results obtained by monolingual approaches. Also, we analyze the best ways to generate those useful multilingual resources, and study different languages and sources of knowledge. The proposed system, based on co-occurrence graphs containing biomedical concepts and textual information, is evaluated on a test dataset frequently used in biomedicine. We can conclude that multilingual resources are able to provide a clear improvement of more than 7% compared to monolingual approaches, for graphs built from a small number of documents. Also, empirical results show that automatically translated resources are a useful source of information for this particular task. Copyright © 2016 Elsevier Inc. All rights reserved.

Two-dimensional ranking of Wikipedia articles

NASA Astrophysics Data System (ADS)

Zhirov, A. O.; Zhirov, O. V.; Shepelyansky, D. L.

2010-10-01

The Library of Babel, described by Jorge Luis Borges, stores an enormous amount of information. The Library exists ab aeterno. Wikipedia, a free online encyclopaedia, becomes a modern analogue of such a Library. Information retrieval and ranking of Wikipedia articles become the challenge of modern society. While PageRank highlights very well known nodes with many ingoing links, CheiRank highlights very communicative nodes with many outgoing links. In this way the ranking becomes two-dimensional. Using CheiRank and PageRank we analyze the properties of two-dimensional ranking of all Wikipedia English articles and show that it gives their reliable classification with rich and nontrivial features. Detailed studies are done for countries, universities, personalities, physicists, chess players, Dow-Jones companies and other categories.

Web-based document image processing

NASA Astrophysics Data System (ADS)

Walker, Frank L.; Thoma, George R.

1999-12-01

Increasing numbers of research libraries are turning to the Internet for electron interlibrary loan and for document delivery to patrons. This has been made possible through the widespread adoption of software such as Ariel and DocView. Ariel, a product of the Research Libraries Group, converts paper-based documents to monochrome bitmapped images, and delivers them over the Internet. The National Library of Medicine's DocView is primarily designed for library patrons are beginning to reap the benefits of this new technology, barriers exist, e.g., differences in image file format, that lead to difficulties in the use of library document information. To research how to overcome such barriers, the Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications, an R and D division of NLM, has developed a web site called the DocMorph Server. This is part of an ongoing intramural R and D program in document imaging that has spanned many aspects of electronic document conversion and preservation, Internet document transmission and document usage. The DocMorph Server Web site is designed to fill two roles. First, in a role that will benefit both libraries and their patrons, it allows Internet users to upload scanned image files for conversion to alternative formats, thereby enabling wider delivery and easier usage of library document information. Second, the DocMorph Server provides the design team an active test bed for evaluating the effectiveness and utility of new document image processing algorithms and functions, so that they may be evaluated for possible inclusion in other image processing software products being developed at NLM or elsewhere. This paper describes the design of the prototype DocMorph Server and the image processing functions being implemented on it.

An Engineered Virus Library as a Resource for the Spectrum-wide Exploration of Virus and Vector Diversity.

PubMed

Zhang, Wenli; Fu, Jun; Liu, Jing; Wang, Hailong; Schiwon, Maren; Janz, Sebastian; Schaffarczyk, Lukas; von der Goltz, Lukas; Ehrke-Schulz, Eric; Dörner, Johannes; Solanki, Manish; Boehme, Philip; Bergmann, Thorsten; Lieber, Andre; Lauber, Chris; Dahl, Andreas; Petzold, Andreas; Zhang, Youming; Stewart, A Francis; Ehrhardt, Anja

2017-05-23

Adenoviruses (Ads) are large human-pathogenic double-stranded DNA (dsDNA) viruses presenting an enormous natural diversity associated with a broad variety of diseases. However, only a small fraction of adenoviruses has been explored in basic virology and biomedical research, highlighting the need to develop robust and adaptable methodologies and resources. We developed a method for high-throughput direct cloning and engineering of adenoviral genomes from different sources utilizing advanced linear-linear homologous recombination (LLHR) and linear-circular homologous recombination (LCHR). We describe 34 cloned adenoviral genomes originating from clinical samples, which were characterized by next-generation sequencing (NGS). We anticipate that this recombineering strategy and the engineered adenovirus library will provide an approach to study basic and clinical virology. High-throughput screening (HTS) of the reporter-tagged Ad library in a panel of cell lines including osteosarcoma disease-specific cell lines revealed alternative virus types with enhanced transduction and oncolysis efficiencies. This highlights the usefulness of this resource. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Research Trend Visualization by MeSH Terms from PubMed.

PubMed

Yang, Heyoung; Lee, Hyuck Jai

2018-05-30

Motivation : PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been developed to help the users search for literature and acquire knowledge. However, these tools are insufficient to overcome the difficulties of the users due to the proliferation of biomedical literature. A new method is needed for searching the knowledge in biomedical field. Methods : A new method is proposed in this study for visualizing the recent research trends based on the retrieved documents corresponding to a search query given by the user. The Medical Subject Headings (MeSH) are used as the primary analytical element. MeSH terms are extracted from the literature and the correlations between them are calculated. A MeSH network, called MeSH Net, is generated as the final result based on the Pathfinder Network algorithm. Results : A case study for the verification of proposed method was carried out on a research area defined by the search query (immunotherapy and cancer and "tumor microenvironment"). The MeSH Net generated by the method is in good agreement with the actual research activities in the research area (immunotherapy). Conclusion : A prototype application generating MeSH Net was developed. The application, which could be used as a "guide map for travelers", allows the users to quickly and easily acquire the knowledge of research trends. Combination of PubMed and MeSH Net is expected to be an effective complementary system for the researchers in biomedical field experiencing difficulties with search and information analysis.

The discrimination of automotive clear coats by pyrolysis-gas chromatography/mass spectrometry and comparison of samples by a chromatogram library software.

PubMed

Plage, Bernd; Berg, Anna-Dolores; Luhn, Steven

2008-05-20

The differentiation of 25 automotive clear coats was evaluated using pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). The samples were selected from eight different groups of samples which slightly differ in their infrared spectra. Most of the samples could be differentiated by visual inspection of the pyrograms. As an objective mean for evaluation a new software based on the comparison of chromatograms was tested for automatic classification considering retention times as well as mass spectra. The database was formed by the triplicate results of the set of the 25 samples. Normally a replicate measurement of a sample yields the best fit by library search. In addition, for most groups classification with moderate fits are obtained for samples belonging to the same group. Some samples are completely rearranged forming a new group of similar samples containing five samples from three different IR groups and four samples of three other groups, respectively. Furthermore detailed visual recognition of individual pyrolysis products allows subgrouping. Therefore, most samples can be differentiated from each other by Py-GC/MS. The exception were three sample groups containing two samples each, which could not be differentiated from each other neither by library search nor by recognition of minor individual pyrolysis products.

A new visual navigation system for exploring biomedical Open Educational Resource (OER) videos

PubMed Central

Zhao, Baoquan; Xu, Songhua; Lin, Shujin; Luo, Xiaonan; Duan, Lian

2016-01-01

Objective Biomedical videos as open educational resources (OERs) are increasingly proliferating on the Internet. Unfortunately, seeking personally valuable content from among the vast corpus of quality yet diverse OER videos is nontrivial due to limitations of today’s keyword- and content-based video retrieval techniques. To address this need, this study introduces a novel visual navigation system that facilitates users’ information seeking from biomedical OER videos in mass quantity by interactively offering visual and textual navigational clues that are both semantically revealing and user-friendly. Materials and Methods The authors collected and processed around 25 000 YouTube videos, which collectively last for a total length of about 4000 h, in the broad field of biomedical sciences for our experiment. For each video, its semantic clues are first extracted automatically through computationally analyzing audio and visual signals, as well as text either accompanying or embedded in the video. These extracted clues are subsequently stored in a metadata database and indexed by a high-performance text search engine. During the online retrieval stage, the system renders video search results as dynamic web pages using a JavaScript library that allows users to interactively and intuitively explore video content both efficiently and effectively. Results The authors produced a prototype implementation of the proposed system, which is publicly accessible at https://patentq.njit.edu/oer. To examine the overall advantage of the proposed system for exploring biomedical OER videos, the authors further conducted a user study of a modest scale. The study results encouragingly demonstrate the functional effectiveness and user-friendliness of the new system for facilitating information seeking from and content exploration among massive biomedical OER videos. Conclusion Using the proposed tool, users can efficiently and effectively find videos of interest, precisely locate video segments delivering personally valuable information, as well as intuitively and conveniently preview essential content of a single or a collection of videos. PMID:26335986

Isolation of a pH-Sensitive IgNAR Variable Domain from a Yeast-Displayed, Histidine-Doped Master Library.

PubMed

Könning, Doreen; Zielonka, Stefan; Sellmann, Carolin; Schröter, Christian; Grzeschik, Julius; Becker, Stefan; Kolmar, Harald

2016-04-01

In recent years, engineering of pH-sensitivity into antibodies as well as antibody-derived fragments has become more and more attractive for biomedical and biotechnological applications. Herein, we report the isolation of the first pH-sensitive IgNAR variable domain (vNAR), which was isolated from a yeast-displayed, semi-synthetic master library. This strategy enables the direct identification of pH-dependent binders from a histidine-enriched CDR3 library. Displayed vNAR variants contained two histidine substitutions on average at random positions in their 12-residue CDR3 loop. Upon screening of seven rounds against the proof-of-concept target EpCAM (selection for binding at pH 7.4 and decreased binding at pH 6.0), a single clone was obtained that showed specific and pH-dependent binding as characterized by yeast surface display and biolayer interferometry. Potential applications for such pH-dependent vNAR domains include their employment in tailored affinity chromatography, enabling mild elution protocols. Moreover, utilizing a master library for the isolation of pH-sensitive vNAR variants may be a generic strategy to obtain binding entities with prescribed characteristics for applications in biotechnology, diagnostics, and therapy.

Systems engineering principles for the design of biomedical signal processing systems.

PubMed

Faust, Oliver; Acharya U, Rajendra; Sputh, Bernhard H C; Min, Lim Choo

2011-06-01

Systems engineering aims to produce reliable systems which function according to specification. In this paper we follow a systems engineering approach to design a biomedical signal processing system. We discuss requirements capturing, specification definition, implementation and testing of a classification system. These steps are executed as formal as possible. The requirements, which motivate the system design, are based on diabetes research. The main requirement for the classification system is to be a reliable component of a machine which controls diabetes. Reliability is very important, because uncontrolled diabetes may lead to hyperglycaemia (raised blood sugar) and over a period of time may cause serious damage to many of the body systems, especially the nerves and blood vessels. In a second step, these requirements are refined into a formal CSP‖ B model. The formal model expresses the system functionality in a clear and semantically strong way. Subsequently, the proven system model was translated into an implementation. This implementation was tested with use cases and failure cases. Formal modeling and automated model checking gave us deep insight in the system functionality. This insight enabled us to create a reliable and trustworthy implementation. With extensive tests we established trust in the reliability of the implementation. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science.

PubMed

Waltman, Ludo; Yan, Erjia; van Eck, Nees Jan

2011-10-01

Two commonly used ideas in the development of citation-based research performance indicators are the idea of normalizing citation counts based on a field classification scheme and the idea of recursive citation weighing (like in PageRank-inspired indicators). We combine these two ideas in a single indicator, referred to as the recursive mean normalized citation score indicator, and we study the validity of this indicator. Our empirical analysis shows that the proposed indicator is highly sensitive to the field classification scheme that is used. The indicator also has a strong tendency to reinforce biases caused by the classification scheme. Based on these observations, we advise against the use of indicators in which the idea of normalization based on a field classification scheme and the idea of recursive citation weighing are combined.

[Knowledge produced from the outcomes of the "Nursing Outcomes Classification--NOC": integrative review].

PubMed

da Silva, Natália Chantal Magalhães; de Souza Oliveira, Ana Railka; de Carvalho, Emília Campos

2015-12-01

To identify the knowledge produced from the outcomes of the Nursing Outcomes Classification (NOC). A literature review using the integrative databases: Latin American and Caribbean Health Sciences (LILACS), US National Library of Medicine (PubMed), Cumulative Index to Nursing & Allied Health Literature (CINAHL) and Scopus Info Site (SCOPUS), during the months of August and September 2014. The review consisted of 21 articles that addressed different issues: Translation and Cultural adaptation (4.77%); Applicability in clinical practice (33.33%); and, Validation (63.90%). Analysis of these articles showed that the knowledge produced from the Nursing Outcomes Classification includes translation and cultural adaptation, evaluation of applicability and validation of its items. Considering the continuous evolution of this classification, periodic reviews should be carried out to identify the knowledge, use and effects of the NOC.

EEG-based driver fatigue detection using hybrid deep generic model.

PubMed

Phyo Phyo San; Sai Ho Ling; Rifai Chai; Tran, Yvonne; Craig, Ashley; Hung Nguyen

2016-08-01

Classification of electroencephalography (EEG)-based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)-based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer. Alternatively, Support Vector Machine (SVM) itself is unable to learn complicated invariance, but produces good decision surface when applied to well-behaved features. Consolidating unsupervised high-level feature extraction techniques, DGM and SVM classification makes the integrated framework stronger and enhance mutually in feature extraction and classification. The experimental results showed that the proposed DBN-based driver fatigue monitoring system achieves better testing accuracy of 73.29 % with 91.10 % sensitivity and 55.48 % specificity. In short, the proposed hybrid DGM-based SVM is an effective method for the detection of driver fatigue in EEG.

Chinese-English Sourcebook of Classified Educational Phrases

ERIC Educational Resources Information Center

Chinese Education, 1976

1976-01-01

Official translation from Chinese to English of words and phrases commonly used in education and library work. Classifications include sayings of Chairman Mao, revolutionary mass criticism, revolution in education, "May 7" cadre schools, teaching methods and materials, disciplines and curricula, school names and terms, and library…

Mineral Information Extraction Based on GAOFEN-5'S Thermal Infrared Data

NASA Astrophysics Data System (ADS)

Liu, L.; Shang, K.

2018-04-01

Gaofen-5 carries six instruments aimed at various land and atmosphere applications, and it's an important unit of China High-resolution Earth Observation System. As Gaofen-5's thermal infrared payload is similar to that of ASTER, which is widely used in mineral exploration, application of Gaofen-5's thermal infrared data is discussed regarding its capability in mineral classification and silica content estimation. First, spectra of silicate, carbonate, sulfate minerals from a spectral library are used to conduct spectral feature analysis on Gaofen-5's thermal infrared emissivities. Spectral indices of band emissivities are proposed, and by setting thresholds of these spectral indices, it can classify three types of minerals mentioned above. This classification method is tested on a simulated Gaofen-5 emissivity image. With samples acquired from the study area, this method is proven to be feasible. Second, with band emissivities of silicate and their silica content from the same spectral library, correlation models have been tried to be built for silica content inversion. However, the highest correlation coefficient is merely 0.592, which is much lower than that of correlation model built on ASTER thermal infrared emissivity. It can be concluded that GF-5's thermal infrared data can be utilized in mineral classification but not in silica content inversion.

Mapping the literature of nursing: 1996–2000

PubMed Central

Allen, Margaret (Peg); Jacobs, Susan Kaplan; Levy, June R.

2006-01-01

Introduction: This project is a collaborative effort of the Task Force on Mapping the Nursing Literature of the Nursing and Allied Health Resources Section of the Medical Library Association. This overview summarizes eighteen studies covering general nursing and sixteen specialties. Method: Following a common protocol, citations from source journals were analyzed for a three-year period within the years 1996 to 2000. Analysis included cited formats, age, and ranking of the frequency of cited journal titles. Highly cited journals were analyzed for coverage in twelve health sciences and academic databases. Results: Journals were the most frequently cited format, followed by books. More than 60% of the cited resources were published in the previous seven years. Bradford's law was validated, with a small core of cited journals accounting for a third of the citations. Medical and science databases provided the most comprehensive access for biomedical titles, while CINAHL and PubMed provided the best access for nursing journals. Discussion: Beyond a heavily cited core, nursing journal citations are widely dispersed among a variety of sources and disciplines, with corresponding access via a variety of bibliographic tools. Results underscore the interdisciplinary nature of the nursing profession. Conclusion: For comprehensive searches, nurses need to search multiple databases. Libraries need to provide access to databases beyond PubMed, including CINAHL and academic databases. Database vendors should improve their coverage of nursing, biomedical, and psychosocial titles identified in these studies. Additional research is needed to update these studies and analyze nursing specialties not covered. PMID:16636714

Mapping the literature of nursing: 1996-2000.

PubMed

Allen, Margaret Peg; Jacobs, Susan Kaplan; Levy, June R

2006-04-01

This project is a collaborative effort of the Task Force on Mapping the Nursing Literature of the Nursing and Allied Health Resources Section of the Medical Library Association. This overview summarizes eighteen studies covering general nursing and sixteen specialties. Following a common protocol, citations from source journals were analyzed for a three-year period within the years 1996 to 2000. Analysis included cited formats, age, and ranking of the frequency of cited journal titles. Highly cited journals were analyzed for coverage in twelve health sciences and academic databases. Journals were the most frequently cited format, followed by books. More than 60% of the cited resources were published in the previous seven years. Bradford's law was validated, with a small core of cited journals accounting for a third of the citations. Medical and science databases provided the most comprehensive access for biomedical titles, while CINAHL and PubMed provided the best access for nursing journals. Beyond a heavily cited core, nursing journal citations are widely dispersed among a variety of sources and disciplines, with corresponding access via a variety of bibliographic tools. Results underscore the interdisciplinary nature of the nursing profession. For comprehensive searches, nurses need to search multiple databases. Libraries need to provide access to databases beyond PubMed, including CINAHL and academic databases. Database vendors should improve their coverage of nursing, biomedical, and psychosocial titles identified in these studies. Additional research is needed to update these studies and analyze nursing specialties not covered.

[Physiology in the mirror of systematic catalogue of Russian Academy of Sciences Library].

PubMed

Orlov, I V; Lazurkina, V B

2011-07-01

Representation of general human and animal physiology publications in the systematic catalogue of the Library of the Russian Academy of Sciences is considered. The organization of the catalogue as applied to the problems of physiology, built on the basis of library-bibliographic classification used in the Russian universal scientific libraries is described. The card files of the systematic catalogue of the Library contain about 8 million cards. Topics that reflect the problems of general physiology contain 39 headings. For the full range of sciences including physiology the tables of general types of divisions were developed. They have been marked by indexes using lower-case letters of the Russian alphabet. For further detalizations of these indexes decimal symbols are used. The indexes are attached directly to the field of knowledge index. With the current relatively easy availability of network resources value and relevance of any catalogue are reduced. However it concerns much more journal articles, rather than reference books, proceedings of various conferences, bibliographies, personalities, and especially the monographs contained in the systematic catalogue. The card systematic catalogue of the Library remains an important source of information on general physiology issues, as well as its magistral narrower sections.

Multiplex coherent anti-Stokes Raman scattering microspectroscopy of brain tissue with higher ranking data classification for biomedical imaging

NASA Astrophysics Data System (ADS)

Pohling, Christoph; Bocklitz, Thomas; Duarte, Alex S.; Emmanuello, Cinzia; Ishikawa, Mariana S.; Dietzeck, Benjamin; Buckup, Tiago; Uckermann, Ortrud; Schackert, Gabriele; Kirsch, Matthias; Schmitt, Michael; Popp, Jürgen; Motzkus, Marcus

2017-06-01

Multiplex coherent anti-Stokes Raman scattering (MCARS) microscopy was carried out to map a solid tumor in mouse brain tissue. The border between normal and tumor tissue was visualized using support vector machines (SVM) as a higher ranking type of data classification. Training data were collected separately in both tissue types, and the image contrast is based on class affiliation of the single spectra. Color coding in the image generated by SVM is then related to pathological information instead of single spectral intensities or spectral differences within the data set. The results show good agreement with the H&E stained reference and spontaneous Raman microscopy, proving the validity of the MCARS approach in combination with SVM.

Fostering Multilinguality in the UMLS: A Computational Approach to Terminology Expansion for Multiple Languages

PubMed Central

Hellrich, Johannes; Hahn, Udo

2014-01-01

We here report on efforts to computationally support the maintenance and extension of multilingual biomedical terminology resources. Our main idea is to treat term acquisition as a classification problem guided by term alignment in parallel multilingual corpora, using termhood information coming from of a named entity recognition system as a novel feature. We report on experiments for Spanish, French, German and Dutch parts of a multilingual UMLS-derived biomedical terminology. These efforts yielded 19k, 18k, 23k and 12k new terms and synonyms, respectively, from which about half relate to concepts without a previously available term label for these non-English languages. Based on expert assessment of a novel German terminology sample, 80% of the newly acquired terms were judged as reasonable additions to the terminology. PMID:25954371