Critical Infrastructure: The National Asset Database

DTIC Science & Technology

2007-07-16

Infrastructure: The National Asset Database 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e...upon which federal resources, including infrastructure protection grants , are allocated. According to DHS, both of those assumptions are wrong. DHS...assets that it has determined are critical to the nation. Also, while the National Asset Database has been used to support federal grant -making

From data repositories to submission portals: rethinking the role of domain-specific databases in CollecTF.

PubMed

Kılıç, Sefa; Sagitova, Dinara M; Wolfish, Shoshannah; Bely, Benoit; Courtot, Mélanie; Ciufo, Stacy; Tatusova, Tatiana; O'Donovan, Claire; Chibucos, Marcus C; Martin, Maria J; Erill, Ivan

2016-01-01

Domain-specific databases are essential resources for the biomedical community, leveraging expert knowledge to curate published literature and provide access to referenced data and knowledge. The limited scope of these databases, however, poses important challenges on their infrastructure, visibility, funding and usefulness to the broader scientific community. CollecTF is a community-oriented database documenting experimentally validated transcription factor (TF)-binding sites in the Bacteria domain. In its quest to become a community resource for the annotation of transcriptional regulatory elements in bacterial genomes, CollecTF aims to move away from the conventional data-repository paradigm of domain-specific databases. Through the adoption of well-established ontologies, identifiers and collaborations, CollecTF has progressively become also a portal for the annotation and submission of information on transcriptional regulatory elements to major biological sequence resources (RefSeq, UniProtKB and the Gene Ontology Consortium). This fundamental change in database conception capitalizes on the domain-specific knowledge of contributing communities to provide high-quality annotations, while leveraging the availability of stable information hubs to promote long-term access and provide high-visibility to the data. As a submission portal, CollecTF generates TF-binding site information through direct annotation of RefSeq genome records, definition of TF-based regulatory networks in UniProtKB entries and submission of functional annotations to the Gene Ontology. As a database, CollecTF provides enhanced search and browsing, targeted data exports, binding motif analysis tools and integration with motif discovery and search platforms. This innovative approach will allow CollecTF to focus its limited resources on the generation of high-quality information and the provision of specialized access to the data.Database URL: http://www.collectf.org/. © The Author(s) 2016. Published by Oxford University Press.

Development of an Open Global Oil and Gas Infrastructure Inventory and Geodatabase

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

Rose, Kelly

This submission contains a technical report describing the development process and visual graphics for the Global Oil and Gas Infrastructure database. Access the GOGI database using the following link: https://edx.netl.doe.gov/dataset/global-oil-gas-features-database

Application of traditional Chinese medicine injection in treatment of primary liver cancer: a review.

PubMed

Li, Mouduo; Qiao, Cuixia; Qin, Liping; Zhang, Junyong; Ling, Changquan

2012-09-01

To investigate the application of Traditional Chinese Medicine Injections (TCMIs) for treatment of primary liver cancer (PLC). A literature review was conducted using PubMed/Medline, Cochrane Library Controlled Clinical Trials Database, China National Knowledge Infrastructure (CNKI), China Scientific Journal Database (CSJD) and China Biology Medicine (CBM). Online websites including journal websites and databases of ongoing trials, as well as some Traditional Chinese Medicine journals that are not indexed in the electronic databases were also searched. as adjunctive medication for the treatment of PLC could regulate patient immunity, reduce bone marrow suppression, relieve clinical symptoms, and improve quality of life, as well as control disease progression and prolong survival time. Within the limitations of this review, we conclude that application of TCMIs as adjunctive medication may provide benefits for patients with PLC. Further large, high-quality trials are warranted.

Concepts and data model for a co-operative neurovascular database.

PubMed

Mansmann, U; Taylor, W; Porter, P; Bernarding, J; Jäger, H R; Lasjaunias, P; Terbrugge, K; Meisel, J

2001-08-01

Problems of clinical management of neurovascular diseases are very complex. This is caused by the chronic character of the diseases, a long history of symptoms and diverse treatments. If patients are to benefit from treatment, then treatment decisions have to rely on reliable and accurate knowledge of the natural history of the disease and the various treatments. Recent developments in statistical methodology and experience from electronic patient records are used to establish an information infrastructure based on a centralized register. A protocol to collect data on neurovascular diseases with technical as well as logistical aspects of implementing a database for neurovascular diseases are described. The database is designed as a co-operative tool of audit and research available to co-operating centres. When a database is linked to a systematic patient follow-up, it can be used to study prognosis. Careful analysis of patient outcome is valuable for decision-making.

Atomic and Molecular Databases, VAMDC (Virtual Atomic and Molecular Data Centre)

NASA Astrophysics Data System (ADS)

Dubernet, Marie-Lise; Zwölf, Carlo Maria; Moreau, Nicolas; Awa Ba, Yaya; VAMDC Consortium

2015-08-01

The "Virtual Atomic and Molecular Data Centre Consortium",(VAMDC Consortium, http://www.vamdc.eu) is a Consortium bound by an Memorandum of Understanding aiming at ensuring the sustainability of the VAMDC e-infrastructure. The current VAMDC e-infrastructure inter-connects about 30 atomic and molecular databases with the number of connected databases increasing every year: some databases are well-known databases such as CDMS, JPL, HITRAN, VALD,.., other databases have been created since the start of VAMDC. About 90% of our databases are used for astrophysical applications. The data can be queried, retrieved, visualized in a single format from a general portal (http://portal.vamdc.eu) and VAMDC is also developing standalone tools in order to retrieve and handle the data. VAMDC provides software and support in order to include databases within the VAMDC e-infrastructure. One current feature of VAMDC is the constrained environnement of description of data that ensures a higher quality for distribution of data; a future feature is the link of VAMDC with evaluation/validation groups. The talk will present the VAMDC Consortium and the VAMDC e infrastructure with its underlying technology, its services, its science use cases and its etension towards other communities than the academic research community.

Acupuncture for treating sciatica: a systematic review protocol

PubMed Central

Qin, Zongshi; Liu, Xiaoxu; Yao, Qin; Zhai, Yanbing; Liu, Zhishun

2015-01-01

Introduction This systematic review aims to assess the effectiveness and safety of acupuncture for treating sciatica. Methods The following nine databases will be searched from their inception to 30 October 2014: MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), the Chinese Biomedical Literature Database (CBM), the Chinese Medical Current Content (CMCC), the Chinese Scientific Journal Database (VIP database), the Wan-Fang Database, the China National Knowledge Infrastructure (CNKI) and Citation Information by National Institute of Informatics (CiNii). Randomised controlled trials (RCTs) of acupuncture for sciatica in English, Chinese or Japanese without restriction of publication status will be included. Two researchers will independently undertake study selection, extraction of data and assessment of study quality. Meta-analysis will be conducted after screening of studies. Data will be analysed using risk ratio for dichotomous data, and standardised mean difference or weighted mean difference for continuous data. Dissemination This systematic review will be disseminated electronically through a peer-reviewed publication or conference presentations. Trial registration number PROSPERO CRD42014015001. PMID:25922105

What Difference Does Quantity Make? On the Epistemology of Big Data in Biology

PubMed Central

Leonelli, Sabina

2015-01-01

Is big data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of big data science does not lie in the sheer quantity of data involved, but rather in (1) the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community; and (2) the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this paper reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data; and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which big data need to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analyzing data given these developments, and the opportunities and worries associated to big data discourse and methods. PMID:25729586

What Difference Does Quantity Make? On the Epistemology of Big Data in Biology.

PubMed

Leonelli, Sabina

2014-06-01

Is big data science a whole new way of doing research? And what difference does data quantity make to knowledge production strategies and their outputs? I argue that the novelty of big data science does not lie in the sheer quantity of data involved, but rather in (1) the prominence and status acquired by data as commodity and recognised output, both within and outside of the scientific community; and (2) the methods, infrastructures, technologies, skills and knowledge developed to handle data. These developments generate the impression that data-intensive research is a new mode of doing science, with its own epistemology and norms. To assess this claim, one needs to consider the ways in which data are actually disseminated and used to generate knowledge. Accordingly, this paper reviews the development of sophisticated ways to disseminate, integrate and re-use data acquired on model organisms over the last three decades of work in experimental biology. I focus on online databases as prominent infrastructures set up to organise and interpret such data; and examine the wealth and diversity of expertise, resources and conceptual scaffolding that such databases draw upon. This illuminates some of the conditions under which big data need to be curated to support processes of discovery across biological subfields, which in turn highlights the difficulties caused by the lack of adequate curation for the vast majority of data in the life sciences. In closing, I reflect on the difference that data quantity is making to contemporary biology, the methodological and epistemic challenges of identifying and analyzing data given these developments, and the opportunities and worries associated to big data discourse and methods.

Sustaining Tunisian SMEs' Competitiveness in the Knowledge Society

NASA Astrophysics Data System (ADS)

Del Vecchio, Pasquale; Elia, Gianluca; Secundo, Giustina

The paper aims to contribute to the debate about knowledge and digital divide affecting countries' competitiveness in the knowledge society. A survey based on qualitative and quantitative data collection has been performed to analyze the level of ICTs and e-Business adoption of the Tunisian SMEs. The results shows that to increase the SMEs competitiveness is necessary to invest in all the components of Intellectual capital: human capital (knowledge, skills, and the abilities of people for using the ICTs), structural capital (supportive infrastructure such as buildings, software, processes, patents, and trademarks, proprietary databases) and social capital (relations and collaboration inside and outside the company). At this purpose, the LINCET "Laboratoire d'Innovation Numerique pour la Competitivité de l'Entreprise Tunisienne" project is finally proposed as a coherent proposition to foster the growth of all the components of the Intellectual Capital for the benefits of competitiveness of Tunisian SMEs.

Oak Ridge Graph Analytics for Medical Innovation (ORiGAMI)

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

Roberts, Larry W.; Lee, Sangkeun

2016-01-01

In this era of data-driven decisions and discovery where Big Data is producing Bigger Data, data scientists at the Oak Ridge National Laboratory are leveraging unique leadership infrastructure (e.g., Urika XA and Urika GD appliances) to develop scalable algorithms for semantic, logical and statistical reasoning with Big Data (i.e., data stored in databases as well as unstructured data in documents). ORiGAMI is a next-generation knowledge-discovery framework that is: (a) knowledge nurturing (i.e., evolves seamlessly with newer knowledge and data), (b) smart and curious (i.e. using information-foraging and reasoning algorithms to digest content) and (c) synergistic (i.e., interfaces computers with whatmore » they do best to help subject-matter-experts do their best. ORiGAMI has been demonstrated using the National Library of Medicine's SEMANTIC MEDLINE (archive of medical knowledge since 1994).« less

The BIRN Project: Imaging the Nervous System

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

Ellisman, Mark

The grand goal in neuroscience research is to understand how the interplay of structural, chemical and electrical signals in nervous tissue gives rise to behavior. Experimental advances of the past decades have given the individual neuroscientist an increasingly powerful arsenal for obtaining data, from the level of molecules to nervous systems. Scientists have begun the arduous and challenging process of adapting and assembling neuroscience data at all scales of resolution and across disciplines into computerized databases and other easily accessed sources. These databases will complement the vast structural and sequence databases created to catalogue, organize and analyze gene sequences andmore » protein products. The general premise of the neuroscience goal is simple; namely that with "complete" knowledge of the genome and protein structures accruing rapidly we next need to assemble an infrastructure that will facilitate acquisition of an understanding for how functional complexes operate in their cell and tissue contexts.« less

The BIRN Project: Imaging the Nervous System

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

Ellisman, Mark

The grand goal in neuroscience research is to understand how the interplay of structural, chemical and electrical signals in nervous tissue gives rise to behavior. Experimental advances of the past decades have given the individual neuroscientist an increasingly powerful arsenal for obtaining data, from the level of molecules to nervous systems. Scientists have begun the arduous and challenging process of adapting and assembling neuroscience data at all scales of resolution and across disciplines into computerized databases and other easily accessed sources. These databases will complement the vast structural and sequence databases created to catalogue, organize and analyze gene sequences andmore » protein products. The general premise of the neuroscience goal is simple; namely that with 'complete' knowledge of the genome and protein structures accruing rapidly we next need to assemble an infrastructure that will facilitate acquisition of an understanding for how functional complexes operate in their cell and tissue contexts.« less

A geological model for the management of subsurface data in the urban environment of Barcelona and surrounding area

NASA Astrophysics Data System (ADS)

Vázquez-Suñé, Enric; Ángel Marazuela, Miguel; Velasco, Violeta; Diviu, Marc; Pérez-Estaún, Andrés; Álvarez-Marrón, Joaquina

2016-09-01

The overdevelopment of cities since the industrial revolution has shown the need to incorporate a sound geological knowledge in the management of required subsurface infrastructures and in the assessment of increasingly needed groundwater resources. Additionally, the scarcity of outcrops and the technical difficulty to conduct underground exploration in urban areas highlights the importance of implementing efficient management plans that deal with the legacy of heterogeneous subsurface information. To deal with these difficulties, a methodology has been proposed to integrate all the available spatio-temporal data into a comprehensive spatial database and a set of tools that facilitates the analysis and processing of the existing and newly added data for the city of Barcelona (NE Spain). Here we present the resulting actual subsurface 3-D geological model that incorporates and articulates all the information stored in the database. The methodology applied to Barcelona benefited from a good collaboration between administrative bodies and researchers that enabled the realization of a comprehensive geological database despite logistic difficulties. Currently, the public administration and also private sectors both benefit from the geological understanding acquired in the city of Barcelona, for example, when preparing the hydrogeological models used in groundwater assessment plans. The methodology further facilitates the continuous incorporation of new data in the implementation and sustainable management of urban groundwater, and also contributes to significantly reducing the costs of new infrastructures.

The Muon Conditions Data Management:. Database Architecture and Software Infrastructure

NASA Astrophysics Data System (ADS)

Verducci, Monica

2010-04-01

The management of the Muon Conditions Database will be one of the most challenging applications for Muon System, both in terms of data volumes and rates, but also in terms of the variety of data stored and their analysis. The Muon conditions database is responsible for almost all of the 'non-event' data and detector quality flags storage needed for debugging of the detector operations and for performing the reconstruction and the analysis. In particular for the early data, the knowledge of the detector performance, the corrections in term of efficiency and calibration will be extremely important for the correct reconstruction of the events. In this work, an overview of the entire Muon conditions database architecture is given, in particular the different sources of the data and the storage model used, including the database technology associated. Particular emphasis is given to the Data Quality chain: the flow of the data, the analysis and the final results are described. In addition, the description of the software interfaces used to access to the conditions data are reported, in particular, in the ATLAS Offline Reconstruction framework ATHENA environment.

Conservation of biodiversity through taxonomy, data publication, and collaborative infrastructures.

PubMed

Costello, Mark J; Vanhoorne, Bart; Appeltans, Ward

2015-08-01

Taxonomy is the foundation of biodiversity science because it furthers discovery of new species. Globally, there have never been so many people involved in naming species new to science. The number of new marine species described per decade has never been greater. Nevertheless, it is estimated that tens of thousands of marine species, and hundreds of thousands of terrestrial species, are yet to be discovered; many of which may already be in specimen collections. However, naming species is only a first step in documenting knowledge about their biology, biogeography, and ecology. Considering the threats to biodiversity, new knowledge of existing species and discovery of undescribed species and their subsequent study are urgently required. To accelerate this research, we recommend, and cite examples of, more and better communication: use of collaborative online databases; easier access to knowledge and specimens; production of taxonomic revisions and species identification guides; engagement of nonspecialists; and international collaboration. "Data-sharing" should be abandoned in favor of mandated data publication by the conservation science community. Such a step requires support from peer reviewers, editors, journals, and conservation organizations. Online data publication infrastructures (e.g., Global Biodiversity Information Facility, Ocean Biogeographic Information System) illustrate gaps in biodiversity sampling and may provide common ground for long-term international collaboration between scientists and conservation organizations. © 2015 Society for Conservation Biology.

A systematic review of factors influencing knowledge management and the nurse leaders' role.

PubMed

Lunden, Anne; Teräs, Marianne; Kvist, Tarja; Häggman-Laitila, Arja

2017-09-01

To describe factors facilitating or inhibiting the development of registered nurses' competency and nurse leader's role in knowledge management. Nurses' competency directly influences patient safety and the quality and effectiveness of patient care. Challenges of nurse leaders in knowledge management include acquiring, assessing and utilising current knowledge and assessing and enhancing competency. A systematic search was conducted in PubMed, CINAHL, SCOPUS and ERIC databases in April 2015. The search identified 18 relevant research articles published between 2009 and 2015. The quality of the studies was appraised in accordance with study designs. Knowledge management is facilitated by an organisation culture that supports learning, sharing of information and learning together. Leader commitment and competency were factors related to leadership facilitating knowledge management. Nurse leaders need evidence-based interventions to support shared learning and to create infrastructures that facilitate competence development. Future research is especially needed to evaluate connections between knowledge management and patient outcomes. The results of this review can be utilised in enhancing factors to facilitate knowledge management in clinical practice and identifying nurse leaders' role in strengthening nurses' competency. © 2017 John Wiley & Sons Ltd.

A bioinformatics knowledge discovery in text application for grid computing

PubMed Central

Castellano, Marcello; Mastronardi, Giuseppe; Bellotti, Roberto; Tarricone, Gianfranco

2009-01-01

Background A fundamental activity in biomedical research is Knowledge Discovery which has the ability to search through large amounts of biomedical information such as documents and data. High performance computational infrastructures, such as Grid technologies, are emerging as a possible infrastructure to tackle the intensive use of Information and Communication resources in life science. The goal of this work was to develop a software middleware solution in order to exploit the many knowledge discovery applications on scalable and distributed computing systems to achieve intensive use of ICT resources. Methods The development of a grid application for Knowledge Discovery in Text using a middleware solution based methodology is presented. The system must be able to: perform a user application model, process the jobs with the aim of creating many parallel jobs to distribute on the computational nodes. Finally, the system must be aware of the computational resources available, their status and must be able to monitor the execution of parallel jobs. These operative requirements lead to design a middleware to be specialized using user application modules. It included a graphical user interface in order to access to a node search system, a load balancing system and a transfer optimizer to reduce communication costs. Results A middleware solution prototype and the performance evaluation of it in terms of the speed-up factor is shown. It was written in JAVA on Globus Toolkit 4 to build the grid infrastructure based on GNU/Linux computer grid nodes. A test was carried out and the results are shown for the named entity recognition search of symptoms and pathologies. The search was applied to a collection of 5,000 scientific documents taken from PubMed. Conclusion In this paper we discuss the development of a grid application based on a middleware solution. It has been tested on a knowledge discovery in text process to extract new and useful information about symptoms and pathologies from a large collection of unstructured scientific documents. As an example a computation of Knowledge Discovery in Database was applied on the output produced by the KDT user module to extract new knowledge about symptom and pathology bio-entities. PMID:19534749

A bioinformatics knowledge discovery in text application for grid computing.

PubMed

Castellano, Marcello; Mastronardi, Giuseppe; Bellotti, Roberto; Tarricone, Gianfranco

2009-06-16

A fundamental activity in biomedical research is Knowledge Discovery which has the ability to search through large amounts of biomedical information such as documents and data. High performance computational infrastructures, such as Grid technologies, are emerging as a possible infrastructure to tackle the intensive use of Information and Communication resources in life science. The goal of this work was to develop a software middleware solution in order to exploit the many knowledge discovery applications on scalable and distributed computing systems to achieve intensive use of ICT resources. The development of a grid application for Knowledge Discovery in Text using a middleware solution based methodology is presented. The system must be able to: perform a user application model, process the jobs with the aim of creating many parallel jobs to distribute on the computational nodes. Finally, the system must be aware of the computational resources available, their status and must be able to monitor the execution of parallel jobs. These operative requirements lead to design a middleware to be specialized using user application modules. It included a graphical user interface in order to access to a node search system, a load balancing system and a transfer optimizer to reduce communication costs. A middleware solution prototype and the performance evaluation of it in terms of the speed-up factor is shown. It was written in JAVA on Globus Toolkit 4 to build the grid infrastructure based on GNU/Linux computer grid nodes. A test was carried out and the results are shown for the named entity recognition search of symptoms and pathologies. The search was applied to a collection of 5,000 scientific documents taken from PubMed. In this paper we discuss the development of a grid application based on a middleware solution. It has been tested on a knowledge discovery in text process to extract new and useful information about symptoms and pathologies from a large collection of unstructured scientific documents. As an example a computation of Knowledge Discovery in Database was applied on the output produced by the KDT user module to extract new knowledge about symptom and pathology bio-entities.

To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure

NASA Astrophysics Data System (ADS)

Stock, Kristin; Stojanovic, Tim; Reitsma, Femke; Ou, Yang; Bishr, Mohamed; Ortmann, Jens; Robertson, Anne

2012-08-01

A geospatial knowledge infrastructure consists of a set of interoperable components, including software, information, hardware, procedures and standards, that work together to support advanced discovery and creation of geoscientific resources, including publications, data sets and web services. The focus of the work presented is the development of such an infrastructure for resource discovery. Advanced resource discovery is intended to support scientists in finding resources that meet their needs, and focuses on representing the semantic details of the scientific resources, including the detailed aspects of the science that led to the resource being created. This paper describes an information model for a geospatial knowledge infrastructure that uses ontologies to represent these semantic details, including knowledge about domain concepts, the scientific elements of the resource (analysis methods, theories and scientific processes) and web services. This semantic information can be used to enable more intelligent search over scientific resources, and to support new ways to infer and visualise scientific knowledge. The work describes the requirements for semantic support of a knowledge infrastructure, and analyses the different options for information storage based on the twin goals of semantic richness and syntactic interoperability to allow communication between different infrastructures. Such interoperability is achieved by the use of open standards, and the architecture of the knowledge infrastructure adopts such standards, particularly from the geospatial community. The paper then describes an information model that uses a range of different types of ontologies, explaining those ontologies and their content. The information model was successfully implemented in a working geospatial knowledge infrastructure, but the evaluation identified some issues in creating the ontologies.

Electroacupuncture for women with stress urinary incontinence: Protocol for a systematic review and meta-analysis.

PubMed

Huang, Weixin; Li, Xiaohui; Wang, Yuanping; Yan, Xia; Wu, Siping

2017-12-01

Stress urinary incontinence (SUI) is a widespread complaint in the adult women. Electroacupuncture has been widely applied in the treatment of SUI. But its efficacy has not been evaluated scientifically and systematically. Therefore, we provide a protocol of systematic evaluation to assess the effectiveness and safety of electroacupuncture treatment on women with SUI. The retrieved databases include 3 English literature databases, namely PubMed, Embase, and Cochrane Library, and 3 Chinese literature databases, namely Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), and Wanfang Database. The randomized controlled trials (RCTs) of the electroacupuncture treatment on women with SUI will be searched in the above-mentioned databases from the time when the respective databases were established to December 2017. The change from baseline in the amount of urine leakage measured by the 1-hour pad test will be accepted as the primary outcomes. We will use RevMan V.5.3 software as well to compute the data synthesis carefully when a meta-analysis is allowed. This study will provide a high-quality synthesis to assess the effectiveness and safety of electroacupuncture treatment on women with SUI. The conclusion of our systematic review will provide evidence to judge whether electroacupuncture is an effective intervention for women with SUI. PROSPERO CRD42017070947.

Developing an Information Infrastructure To Support Information Retrieval: Towards a Theory of Clustering Based in Classification.

ERIC Educational Resources Information Center

Micco, Mary; Popp, Rich

Techniques for building a world-wide information infrastructure by reverse engineering existing databases to link them in a hierarchical system of subject clusters to create an integrated database are explored. The controlled vocabulary of the Library of Congress Subject Headings is used to ensure consistency and group similar items. Each database…

Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

ERIC Educational Resources Information Center

Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

2005-01-01

In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…

Securing services in the cloud: an investigation of the threats and the mitigations

NASA Astrophysics Data System (ADS)

Farroha, Bassam S.; Farroha, Deborah L.

2012-05-01

The stakeholder's security concerns over data in the clouds (Voice, Video and Text) are a real concern to DoD, the IC and private sector. This is primarily due to the lack of physical isolation of data when migrating to shared infrastructure platforms. The security concerns are related to privacy and regulatory compliance required in many industries (healthcare, financial, law enforcement, DoD, etc) and the corporate knowledge databases. The new paradigm depends on the service provider to ensure that the customer's information is continuously monitored and is kept available, secure, access controlled and isolated from potential adversaries.

National Transportation Atlas Databases : 2002

DOT National Transportation Integrated Search

2002-01-01

The National Transportation Atlas Databases 2002 (NTAD2002) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2010

DOT National Transportation Integrated Search

2010-01-01

The National Transportation Atlas Databases 2010 (NTAD2010) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2006

DOT National Transportation Integrated Search

2006-01-01

The National Transportation Atlas Databases 2006 (NTAD2006) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2005

DOT National Transportation Integrated Search

2005-01-01

The National Transportation Atlas Databases 2005 (NTAD2005) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2008

DOT National Transportation Integrated Search

2008-01-01

The National Transportation Atlas Databases 2008 (NTAD2008) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2003

DOT National Transportation Integrated Search

2003-01-01

The National Transportation Atlas Databases 2003 (NTAD2003) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2004

DOT National Transportation Integrated Search

2004-01-01

The National Transportation Atlas Databases 2004 (NTAD2004) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2009

DOT National Transportation Integrated Search

2009-01-01

The National Transportation Atlas Databases 2009 (NTAD2009) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2007

DOT National Transportation Integrated Search

2007-01-01

The National Transportation Atlas Databases 2007 (NTAD2007) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2012

DOT National Transportation Integrated Search

2012-01-01

The National Transportation Atlas Databases 2012 (NTAD2012) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

National Transportation Atlas Databases : 2011

DOT National Transportation Integrated Search

2011-01-01

The National Transportation Atlas Databases 2011 (NTAD2011) is a set of nationwide geographic databases of transportation facilities, transportation networks, and associated infrastructure. These datasets include spatial information for transportatio...

An electronic infrastructure for research and treatment of the thalassemias and other hemoglobinopathies: the Euro-mediterranean ITHANET project.

PubMed

Lederer, Carsten W; Basak, A Nazli; Aydinok, Yesim; Christou, Soteroula; El-Beshlawy, Amal; Eleftheriou, Androulla; Fattoum, Slaheddine; Felice, Alex E; Fibach, Eitan; Galanello, Renzo; Gambari, Roberto; Gavrila, Lucian; Giordano, Piero C; Grosveld, Frank; Hassapopoulou, Helen; Hladka, Eva; Kanavakis, Emmanuel; Locatelli, Franco; Old, John; Patrinos, George P; Romeo, Giovanni; Taher, Ali; Traeger-Synodinos, Joanne; Vassiliou, Panayiotis; Villegas, Ana; Voskaridou, Ersi; Wajcman, Henri; Zafeiropoulos, Anastasios; Kleanthous, Marina

2009-01-01

Hemoglobin (Hb) disorders are common, potentially lethal monogenic diseases, posing a global health challenge. With worldwide migration and intermixing of carriers, demanding flexible health planning and patient care, hemoglobinopathies may serve as a paradigm for the use of electronic infrastructure tools in the collection of data, the dissemination of knowledge, the harmonization of treatment, and the coordination of research and preventive programs. ITHANET, a network covering thalassemias and other hemoglobinopathies, comprises 26 organizations from 16 countries, including non-European countries of origin for these diseases (Egypt, Israel, Lebanon, Tunisia and Turkey). Using electronic infrastructure tools, ITHANET aims to strengthen cross-border communication and data transfer, cooperative research and treatment of thalassemia, and to improve support and information of those affected by hemoglobinopathies. Moreover, the consortium has established the ITHANET Portal, a novel web-based instrument for the dissemination of information on hemoglobinopathies to researchers, clinicians and patients. The ITHANET Portal is a growing public resource, providing forums for discussion and research coordination, and giving access to courses and databases organized by ITHANET partners. Already a popular repository for diagnostic protocols and news related to hemoglobinopathies, the ITHANET Portal also provides a searchable, extendable database of thalassemia mutations and associated background information. The experience of ITHANET is exemplary for a consortium bringing together disparate organizations from heterogeneous partner countries to face a common health challenge. The ITHANET Portal as a web-based tool born out of this experience amends some of the problems encountered and facilitates education and international exchange of data and expertise for hemoglobinopathies.

Open exchange of scientific knowledge and European copyright: The case of biodiversity information

PubMed Central

Egloff, Willi; Patterson, David J.; Agosti, Donat; Hagedorn, Gregor

2014-01-01

Abstract Background. The 7th Framework Programme for Research and Technological Development is helping the European Union to prepare for an integrative system for intelligent management of biodiversity knowledge. The infrastructure that is envisaged and that will be further developed within the Programme “Horizon 2020” aims to provide open and free access to taxonomic information to anyone with a requirement for biodiversity data, without the need for individual consent of other persons or institutions. Open and free access to information will foster the re-use and improve the quality of data, will accelerate research, and will promote new types of research. Progress towards the goal of free and open access to content is hampered by numerous technical, economic, sociological, legal, and other factors. The present article addresses barriers to the open exchange of biodiversity knowledge that arise from European laws, in particular European legislation on copyright and database protection rights. We present a legal point of view as to what will be needed to bring distributed information together and facilitate its re-use by data mining, integration into semantic knowledge systems, and similar techniques. We address exceptions and limitations of copyright or database protection within Europe, and we point to the importance of data use agreements. We illustrate how exceptions and limitations have been transformed into national legislations within some European states to create inconsistencies that impede access to biodiversity information. Conclusions. The legal situation within the EU is unsatisfactory because there are inconsistencies among states that hamper the deployment of an open biodiversity knowledge management system. Scientists within the EU who work with copyright protected works or with protected databases have to be aware of regulations that vary from country to country. This is a major stumbling block to international collaboration and is an impediment to the open exchange of biodiversity knowledge. Such differences should be removed by unifying exceptions and limitations for research purposes in a binding, Europe-wide regulation. PMID:25009418

Evolution of the use of relational and NoSQL databases in the ATLAS experiment

NASA Astrophysics Data System (ADS)

Barberis, D.

2016-09-01

The ATLAS experiment used for many years a large database infrastructure based on Oracle to store several different types of non-event data: time-dependent detector configuration and conditions data, calibrations and alignments, configurations of Grid sites, catalogues for data management tools, job records for distributed workload management tools, run and event metadata. The rapid development of "NoSQL" databases (structured storage services) in the last five years allowed an extended and complementary usage of traditional relational databases and new structured storage tools in order to improve the performance of existing applications and to extend their functionalities using the possibilities offered by the modern storage systems. The trend is towards using the best tool for each kind of data, separating for example the intrinsically relational metadata from payload storage, and records that are frequently updated and benefit from transactions from archived information. Access to all components has to be orchestrated by specialised services that run on front-end machines and shield the user from the complexity of data storage infrastructure. This paper describes this technology evolution in the ATLAS database infrastructure and presents a few examples of large database applications that benefit from it.

The National Information Infrastructure: Agenda for Action.

ERIC Educational Resources Information Center

Department of Commerce, Washington, DC. Information Infrastructure Task Force.

The National Information Infrastructure (NII) is planned as a web of communications networks, computers, databases, and consumer electronics that will put vast amounts of information at the users' fingertips. Private sector firms are beginning to develop this infrastructure, but essential roles remain for the Federal Government. The National…

Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsy.

PubMed

Sahoo, Satya S; Zhang, Guo-Qiang; Lhatoo, Samden D

2013-08-01

The epilepsy community increasingly recognizes the need for a modern classification system that can also be easily integrated with effective informatics tools. The 2010 reports by the United States President's Council of Advisors on Science and Technology (PCAST) identified informatics as a critical resource to improve quality of patient care, drive clinical research, and reduce the cost of health services. An effective informatics infrastructure for epilepsy, which is underpinned by a formal knowledge model or ontology, can leverage an ever increasing amount of multimodal data to improve (1) clinical decision support, (2) access to information for patients and their families, (3) easier data sharing, and (4) accelerate secondary use of clinical data. Modeling the recommendations of the International League Against Epilepsy (ILAE) classification system in the form of an epilepsy domain ontology is essential for consistent use of terminology in a variety of applications, including electronic health records systems and clinical applications. In this review, we discuss the data management issues in epilepsy and explore the benefits of an ontology-driven informatics infrastructure and its role in adoption of a "data-driven" paradigm in epilepsy research. Wiley Periodicals, Inc. © 2013 International League Against Epilepsy.

Epilepsy informatics and an ontology-driven infrastructure for large database research and patient care in epilepsy

PubMed Central

Sahoo, Satya S.; Zhang, Guo-Qiang; Lhatoo, Samden D.

2013-01-01

Summary The epilepsy community increasingly recognizes the need for a modern classification system that can also be easily integrated with effective informatics tools. The 2010 reports by the United States President's Council of Advisors on Science and Technology (PCAST) identified informatics as a critical resource to improve quality of patient care, drive clinical research, and reduce the cost of health services. An effective informatics infrastructure for epilepsy, which is underpinned by a formal knowledge model or ontology, can leverage an ever increasing amount of multimodal data to improve (1) clinical decision support, (2) access to information for patients and their families, (3) easier data sharing, and (4) accelerate secondary use of clinical data. Modeling the recommendations of the International League Against Epilepsy (ILAE) classification system in the form of an epilepsy domain ontology is essential for consistent use of terminology in a variety of applications, including electronic health records systems and clinical applications. In this review, we discuss the data management issues in epilepsy and explore the benefits of an ontology-driven informatics infrastructure and its role in adoption of a “data-driven” paradigm in epilepsy research. PMID:23647220

Economic evaluation of manual therapy for musculoskeletal diseases: a protocol for a systematic review and narrative synthesis of evidence.

PubMed

Kim, Chang-Gon; Mun, Su-Jeong; Kim, Ka-Na; Shin, Byung-Cheul; Kim, Nam-Kwen; Lee, Dong-Hyo; Lee, Jung-Han

2016-05-13

Manual therapy is the non-surgical conservative management of musculoskeletal disorders using the practitioner's hands on the patient's body for diagnosing and treating disease. The aim of this study is to systematically review trial-based economic evaluations of manual therapy relative to other interventions used for the management of musculoskeletal diseases. Randomised clinical trials (RCTs) on the economic evaluation of manual therapy for musculoskeletal diseases will be included in the review. The following databases will be searched from their inception: Medline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Econlit, Mantis, Index to Chiropractic Literature, Science Citation Index, Social Science Citation Index, Allied and Complementary Medicine Database (AMED), Cochrane Database of Systematic Reviews (CDSR), National Health Service Database of Abstracts of Reviews of Effects (NHS DARE), National Health Service Health Technology Assessment Database (NHS HTA), National Health Service Economic Evaluation Database (NHS EED), CENTRAL, five Korean medical databases (Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Service System (RISS), DBPIA, Korean Traditional Knowledge Portal (KTKP) and KoreaMed) and three Chinese databases (China National Knowledge Infrastructure (CNKI), VIP and Wanfang). The evidence for the cost-effectiveness, cost-utility and cost-benefit of manual therapy for musculoskeletal diseases will be assessed as the primary outcome. Health-related quality of life and adverse effects will be assessed as secondary outcomes. We will critically appraise the included studies using the Cochrane risk of bias tool and the Drummond checklist. Results will be summarised using Slavin's qualitative best-evidence synthesis approach. The results of the study will be disseminated via a peer-reviewed journal and/or conference presentations. PROSPERO CRD42015026757. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Data management with a landslide inventory of the Franconian Alb (Germany) using a spatial database and GIS tools

NASA Astrophysics Data System (ADS)

Bemm, Stefan; Sandmeier, Christine; Wilde, Martina; Jaeger, Daniel; Schwindt, Daniel; Terhorst, Birgit

2014-05-01

The area of the Swabian-Franconian cuesta landscape (Southern Germany) is highly prone to landslides. This was apparent in the late spring of 2013, when numerous landslides occurred as a consequence of heavy and long-lasting rainfalls. The specific climatic situation caused numerous damages with serious impact on settlements and infrastructure. Knowledge on spatial distribution of landslides, processes and characteristics are important to evaluate the potential risk that can occur from mass movements in those areas. In the frame of two projects about 400 landslides were mapped and detailed data sets were compiled during years 2011 to 2014 at the Franconian Alb. The studies are related to the project "Slope stability and hazard zones in the northern Bavarian cuesta" (DFG, German Research Foundation) as well as to the LfU (The Bavarian Environment Agency) within the project "Georisks and climate change - hazard indication map Jura". The central goal of the present study is to create a spatial database for landslides. The database should contain all fundamental parameters to characterize the mass movements and should provide the potential for secure data storage and data management, as well as statistical evaluations. The spatial database was created with PostgreSQL, an object-relational database management system and PostGIS, a spatial database extender for PostgreSQL, which provides the possibility to store spatial and geographic objects and to connect to several GIS applications, like GRASS GIS, SAGA GIS, QGIS and GDAL, a geospatial library (Obe et al. 2011). Database access for querying, importing, and exporting spatial and non-spatial data is ensured by using GUI or non-GUI connections. The database allows the use of procedural languages for writing advanced functions in the R, Python or Perl programming languages. It is possible to work directly with the (spatial) data entirety of the database in R. The inventory of the database includes (amongst others), informations on location, landslide types and causes, geomorphological positions, geometries, hazards and damages, as well as assessments related to the activity of landslides. Furthermore, there are stored spatial objects, which represent the components of a landslide, in particular the scarps and the accumulation areas. Besides, waterways, map sheets, contour lines, detailed infrastructure data, digital elevation models, aspect and slope data are included. Examples of spatial queries to the database are intersections of raster and vector data for calculating values for slope gradients or aspects of landslide areas and for creating multiple, overlaying sections for the comparison of slopes, as well as distances to the infrastructure or to the next receiving drainage. Furthermore, getting informations on landslide magnitudes, distribution and clustering, as well as potential correlations concerning geomorphological or geological conditions. The data management concept in this study can be implemented for any academic, public or private use, because it is independent from any obligatory licenses. The created spatial database offers a platform for interdisciplinary research and socio-economic questions, as well as for landslide susceptibility and hazard indication mapping. Obe, R.O., Hsu, L.S. 2011. PostGIS in action. - pp 492, Manning Publications, Stamford

New Trends in E-Science: Machine Learning and Knowledge Discovery in Databases

NASA Astrophysics Data System (ADS)

Brescia, Massimo

2012-11-01

Data mining, or Knowledge Discovery in Databases (KDD), while being the main methodology to extract the scientific information contained in Massive Data Sets (MDS), needs to tackle crucial problems since it has to orchestrate complex challenges posed by transparent access to different computing environments, scalability of algorithms, reusability of resources. To achieve a leap forward for the progress of e-science in the data avalanche era, the community needs to implement an infrastructure capable of performing data access, processing and mining in a distributed but integrated context. The increasing complexity of modern technologies carried out a huge production of data, whose related warehouse management and the need to optimize analysis and mining procedures lead to a change in concept on modern science. Classical data exploration, based on local user own data storage and limited computing infrastructures, is no more efficient in the case of MDS, worldwide spread over inhomogeneous data centres and requiring teraflop processing power. In this context modern experimental and observational science requires a good understanding of computer science, network infrastructures, Data Mining, etc. i.e. of all those techniques which fall into the domain of the so called e-science (recently assessed also by the Fourth Paradigm of Science). Such understanding is almost completely absent in the older generations of scientists and this reflects in the inadequacy of most academic and research programs. A paradigm shift is needed: statistical pattern recognition, object oriented programming, distributed computing, parallel programming need to become an essential part of scientific background. A possible practical solution is to provide the research community with easy-to understand, easy-to-use tools, based on the Web 2.0 technologies and Machine Learning methodology. Tools where almost all the complexity is hidden to the final user, but which are still flexible and able to produce efficient and reliable scientific results. All these considerations will be described in the detail in the chapter. Moreover, examples of modern applications offering to a wide variety of e-science communities a large spectrum of computational facilities to exploit the wealth of available massive data sets and powerful machine learning and statistical algorithms will be also introduced.

Towards a collaborative, global infrastructure for biodiversity assessment

PubMed Central

Guralnick, Robert P; Hill, Andrew W; Lane, Meredith

2007-01-01

Biodiversity data are rapidly becoming available over the Internet in common formats that promote sharing and exchange. Currently, these data are somewhat problematic, primarily with regard to geographic and taxonomic accuracy, for use in ecological research, natural resources management and conservation decision-making. However, web-based georeferencing tools that utilize best practices and gazetteer databases can be employed to improve geographic data. Taxonomic data quality can be improved through web-enabled valid taxon names databases and services, as well as more efficient mechanisms to return systematic research results and taxonomic misidentification rates back to the biodiversity community. Both of these are under construction. A separate but related challenge will be developing web-based visualization and analysis tools for tracking biodiversity change. Our aim was to discuss how such tools, combined with data of enhanced quality, will help transform today's portals to raw biodiversity data into nexuses of collaborative creation and sharing of biodiversity knowledge. PMID:17594421

Geoinformatics in the public service: building a cyberinfrastructure across the geological surveys

USGS Publications Warehouse

Allison, M. Lee; Gundersen, Linda C.; Richard, Stephen M.; Keller, G. Randy; Baru, Chaitanya

2011-01-01

Advanced information technology infrastructure is increasingly being employed in the Earth sciences to provide researchers with efficient access to massive central databases and to integrate diversely formatted information from a variety of sources. These geoinformatics initiatives enable manipulation, modeling and visualization of data in a consistent way, and are helping to develop integrated Earth models at various scales, and from the near surface to the deep interior. This book uses a series of case studies to demonstrate computer and database use across the geosciences. Chapters are thematically grouped into sections that cover data collection and management; modeling and community computational codes; visualization and data representation; knowledge management and data integration; and web services and scientific workflows. Geoinformatics is a fascinating and accessible introduction to this emerging field for readers across the solid Earth sciences and an invaluable reference for researchers interested in initiating new cyberinfrastructure projects of their own.

Acupuncture for patients with Alzheimer's disease: a systematic review protocol

PubMed Central

Zhou, Jing; Peng, Weina; Li, Wang; Liu, Zhishun

2014-01-01

Introduction The aim of this protocol is to provide the methods used to assess the effectiveness and safety of acupuncture for the treatment of patients with Alzheimer's disease. Methods and analysis We will search the following electronic databases: The Cochrane Library, PubMed, Medline, Embase, PsycINFO, Chinese Biomedical Literature Database, Chinese Medical Current Contents and China National Knowledge Infrastructure without restriction of language and publication status. Other sources such as Chinese acupuncture journals and the reference list of selected studies will also be searched. After screening the studies, a meta-analysis of randomised controlled trials will be conducted, if possible. Results expressed as risk ratios for dichotomous data and standardised or weighted mean differences for continuous data, will be used for data synthesis. Dissemination The protocol of this systematic review will be disseminated in a peer-reviewed journal and presented at a relevant conference. Trial registration number PROSPERO CRD42014009619 PMID:25142265

Clinical results of HIS, RIS, PACS integration using data integration CASE tools

NASA Astrophysics Data System (ADS)

Taira, Ricky K.; Chan, Hing-Ming; Breant, Claudine M.; Huang, Lu J.; Valentino, Daniel J.

1995-05-01

Current infrastructure research in PACS is dominated by the development of communication networks (local area networks, teleradiology, ATM networks, etc.), multimedia display workstations, and hierarchical image storage architectures. However, limited work has been performed on developing flexible, expansible, and intelligent information processing architectures for the vast decentralized image and text data repositories prevalent in healthcare environments. Patient information is often distributed among multiple data management systems. Current large-scale efforts to integrate medical information and knowledge sources have been costly with limited retrieval functionality. Software integration strategies to unify distributed data and knowledge sources is still lacking commercially. Systems heterogeneity (i.e., differences in hardware platforms, communication protocols, database management software, nomenclature, etc.) is at the heart of the problem and is unlikely to be standardized in the near future. In this paper, we demonstrate the use of newly available CASE (computer- aided software engineering) tools to rapidly integrate HIS, RIS, and PACS information systems. The advantages of these tools include fast development time (low-level code is generated from graphical specifications), and easy system maintenance (excellent documentation, easy to perform changes, and centralized code repository in an object-oriented database). The CASE tools are used to develop and manage the `middle-ware' in our client- mediator-serve architecture for systems integration. Our architecture is scalable and can accommodate heterogeneous database and communication protocols.

A comprehensive model for executing knowledge management audits in organizations: a systematic review.

PubMed

Shahmoradi, Leila; Ahmadi, Maryam; Sadoughi, Farahnaz; Piri, Zakieh; Gohari, Mahmood Reza

2015-01-01

A knowledge management audit (KMA) is the first phase in knowledge management implementation. Incomplete or incomprehensive execution of the KMA has caused many knowledge management programs to fail. A study was undertaken to investigate how KMAs are performed systematically in organizations and present a comprehensive model for performing KMAs based on a systematic review. Studies were identified by searching electronic databases such as Emerald, LISA, and the Cochrane library and e-journals such as the Oxford Journal and hand searching of printed journals, theses, and books in the Tehran University of Medical Sciences digital library. The sources used in this study consisted of studies available through the digital library of the Tehran University of Medical Sciences that were published between 2000 and 2013, including both Persian- and English-language sources, as well as articles explaining the steps involved in performing a KMA. A comprehensive model for KMAs is presented in this study. To successfully execute a KMA, it is necessary to perform the appropriate preliminary activities in relation to the knowledge management infrastructure, determine the knowledge management situation, and analyze and use the available data on this situation.

The Pedagogy of Complex Work Support Systems: Infrastructuring Practices and the Production of Critical Awareness in Risk Auditing

ERIC Educational Resources Information Center

Mathisen, Arve; Nerland, Monika

2012-01-01

This paper employs a socio-technical perspective to explore the role of complex work support systems in organising knowledge and providing opportunities for learning in professional work. Drawing on concepts from infrastructure studies, such systems are seen as work infrastructures which connect information, knowledge, standards and work…

Integrative medicine for managing the symptoms of lupus nephritis: A protocol for systematic review and meta-analysis.

PubMed

Choi, Tae-Young; Jun, Ji Hee; Lee, Myeong Soo

2018-03-01

Integrative medicine is claimed to improve symptoms of lupus nephritis. No systematic reviews have been performed for the application of integrative medicine for lupus nephritis on patients with systemic lupus erythematosus (SLE). Thus, this review will aim to evaluate the current evidence on the efficacy of integrative medicine for the management of lupus nephritis in patients with SLE. The following electronic databases will be searched for studies published from their dates of inception February 2018: Medline, EMBASE and the Cochrane Central Register of Controlled Trials (CENTRAL), as well as 6 Korean medical databases (Korea Med, the Oriental Medicine Advanced Search Integrated System [OASIS], DBpia, the Korean Medical Database [KM base], the Research Information Service System [RISS], and the Korean Studies Information Services System [KISS]), and 1 Chinese medical database (the China National Knowledge Infrastructure [CNKI]). Study selection, data extraction, and assessment will be performed independently by 2 researchers. The risk of bias (ROB) will be assessed using the Cochrane ROB tool. This systematic review will be published in a peer-reviewed journal and disseminated both electronically and in print. The review will be updated to inform and guide healthcare practice and policy. PROSPERO 2018 CRD42018085205.

Wenxin Keli for atrial fibrillation

PubMed Central

He, Zhuogen; Zheng, Minan; Xie, Pingchang; Wang, Yuanping; Yan, Xia; Deng, Dingwei

2018-01-01

Abstract Background: Atrial fibrillation (AF) is a most common cardiac arrhythmia in clinical practice. In China, Wenxin Keli (WXKL) therapy is a common treatment for AF, but its effects and safety remain uncertain. This protocol is to provide the methods used to assess the effectiveness and safety of WXKL for the treatment of patients with AF. Methods: We will search comprehensively the 4 English databases EMBASE, the Cochrane Central Register of Controlled Trials (Cochrane Library), PubMed, and Medline and 3 Chinese databases China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), and Chinese Science and Technology Periodical database (VIP) on computer on March 2018 for the randomized controlled trials (RCTs) regarding WXKL for AF. The therapeutic effects according to the sinus rhythm and p-wave dispersion (Pwd) will be accepted as the primary outcomes. We will use RevMan V.5.3 software as well to compute the data synthesis carefully when a meta-analysis is allowed. Results: This study will provide a high-quality synthesis of current evidence of WXKL for AF. Conclusion: The conclusion of our systematic review will provide evidence to judge whether WXKL is an effective intervention for patient with AF. PROSPERO registration number: PROSPERO CRD 42018082045. PMID:29702984

Utilisation of a thoracic oncology database to capture radiological and pathological images for evaluation of response to chemotherapy in patients with malignant pleural mesothelioma

PubMed Central

Carey, George B; Kazantsev, Stephanie; Surati, Mosmi; Rolle, Cleo E; Kanteti, Archana; Sadiq, Ahad; Bahroos, Neil; Raumann, Brigitte; Madduri, Ravi; Dave, Paul; Starkey, Adam; Hensing, Thomas; Husain, Aliya N; Vokes, Everett E; Vigneswaran, Wickii; Armato, Samuel G; Kindler, Hedy L; Salgia, Ravi

2012-01-01

Objective An area of need in cancer informatics is the ability to store images in a comprehensive database as part of translational cancer research. To meet this need, we have implemented a novel tandem database infrastructure that facilitates image storage and utilisation. Background We had previously implemented the Thoracic Oncology Program Database Project (TOPDP) database for our translational cancer research needs. While useful for many research endeavours, it is unable to store images, hence our need to implement an imaging database which could communicate easily with the TOPDP database. Methods The Thoracic Oncology Research Program (TORP) imaging database was designed using the Research Electronic Data Capture (REDCap) platform, which was developed by Vanderbilt University. To demonstrate proof of principle and evaluate utility, we performed a retrospective investigation into tumour response for malignant pleural mesothelioma (MPM) patients treated at the University of Chicago Medical Center with either of two analogous chemotherapy regimens and consented to at least one of two UCMC IRB protocols, 9571 and 13473A. Results A cohort of 22 MPM patients was identified using clinical data in the TOPDP database. After measurements were acquired, two representative CT images and 0–35 histological images per patient were successfully stored in the TORP database, along with clinical and demographic data. Discussion We implemented the TORP imaging database to be used in conjunction with our comprehensive TOPDP database. While it requires an additional effort to use two databases, our database infrastructure facilitates more comprehensive translational research. Conclusions The investigation described herein demonstrates the successful implementation of this novel tandem imaging database infrastructure, as well as the potential utility of investigations enabled by it. The data model presented here can be utilised as the basis for further development of other larger, more streamlined databases in the future. PMID:23103606

Chinese patent medicine Fei-Liu-Ping ointment as an adjunctive treatment for non-small cell lung cancer: protocol for a systematic review.

PubMed

Zheng, Honggang; He, Shulin; Liu, Rui; Xu, Xinyao; Xu, Tao; Chen, Shuntai; Guo, Qiujun; Gao, Yebo; Hua, Baojin

2017-01-16

Fei-Liu-Ping ointment has been widely applied as adjunctive drug in the treatment of non-small cell lung cancer (NSCLC). However, there has been no systematic review of research findings regarding the efficacy of this treatment. Here, we provide a protocol for assessing the effectiveness and safety of Fei-Liu-Ping ointment in the treatment of NSCLC. The electronic databases to be searched will include MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, Excerpt Medica Database (EMBASE), China National Knowledge Infrastructure (CNKI), China Scientific Journal Database (VIP), Wanfang Database and Chinese Biomedical Literature Database (CBM). Papers in English or Chinese published from inception to 2016 will be included without any restrictions. We will conduct a meta-analysis of randomised controlled trial if possible. The therapeutic effects according to the standard for treatment of solid tumours by the WHO and the quality of life as evaluated by Karnofsky score and weight will be applied as the primary outcomes. We will also evaluate the data synthesis and risk of bias using Review Manager 5.3 software. The results of this review will offer implications for the use of Fei-Liu-Ping ointment as an adjunctive treatment for NSCLC. This knowledge will inform recommendations by surgeons and researchers who are interested in the treatment of NSCLC. The results of this systematic review will be disseminated through presentation at a conference and publication of the data in a peer-reviewed journal. PROSPERO CRD42016036911. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Critical Infrastructure: The National Asset Database

DTIC Science & Technology

2006-09-14

NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION...that, in its current form, it is being used inappropriately as the basis upon which federal resources, including infrastructure protection grants , are...National Asset Database has been used to support federal grant -making decisions, according to a DHS official, it does not drive those decisions. In July

Big Data Analytics Test Bed

DTIC Science & Technology

2013-09-01

25 2. Backend Database Support ...............................................................25 3. Installing...29 A. SETUP VIRTUAL INFRASTRUCTURE ...................................................29 B...59 APPENDIX F. INSTALLING AND CONFIGURING BACKEND DATABASE SUPPORT FOR VCENTER

Herbal medicine (Hyeolbuchukeo-tang or Xuefu Zhuyu decoction) for treating primary dysmenorrhoea: protocol for a systematic review of randomised controlled trials.

PubMed

Jo, Junyoung; Leem, Jungtae; Lee, Jin Moo; Park, Kyoung Sun

2017-06-15

Primary dysmenorrhoea is menstrual pain without pelvic pathology and is the most common gynaecological condition in women. Xuefu Zhuyudecoction (XZD) or Hyeolbuchukeo-tang, a traditional herbal formula, has been used as a treatment for primary dysmenorrhoea. The purpose of this study is to assess the current published evidence regarding XZD as treatment for primary dysmenorrhoea. The following databases will be searched from their inception until April 2017: MEDLINE (via PubMed), Allied and Complementary Medicine Database (AMED), EMBASE, The Cochrane Library, six Korean medical databases (Korean Studies Information Service System, DBPia, Oriental Medicine Advanced Searching Integrated System, Research Information Service System, Korea Med and the Korean Traditional Knowledge Portal), three Chinese medical databases (China National Knowledge Infrastructure (CNKI), Wan Fang Database and Chinese Scientific Journals Database (VIP)) and one Japanese medical database (CiNii). Randomised clinical trials (RCTs) that will be included in this systematic review comprise those that used XZD or modified XZD. The control groups in the RCTs include no treatment, placebo, conventional medication or other treatments. Trials testing XZD as an adjunct to other treatments and studies where the control group received the same treatment as the intervention group will be also included. Data extraction and risk of bias assessments will be performed by two independent reviewers. The risk of bias will be assessed with the Cochrane risk of bias tool. All statistical analyses will be conducted using Review Manager software (RevMan V.5.3.0). This systematic review will be published in a peer-reviewed journal. The review will also be disseminated electronically and in print. The review will benefit patients and practitioners in the fields of traditional and conventional medicine. CRD42016050447. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

First use of LHC Run 3 Conditions Database infrastructure for auxiliary data files in ATLAS

NASA Astrophysics Data System (ADS)

Aperio Bella, L.; Barberis, D.; Buttinger, W.; Formica, A.; Gallas, E. J.; Rinaldi, L.; Rybkin, G.; ATLAS Collaboration

2017-10-01

Processing of the large amount of data produced by the ATLAS experiment requires fast and reliable access to what we call Auxiliary Data Files (ADF). These files, produced by Combined Performance, Trigger and Physics groups, contain conditions, calibrations, and other derived data used by the ATLAS software. In ATLAS this data has, thus far for historical reasons, been collected and accessed outside the ATLAS Conditions Database infrastructure and related software. For this reason, along with the fact that ADF are effectively read by the software as binary objects, this class of data appears ideal for testing the proposed Run 3 conditions data infrastructure now in development. This paper describes this implementation as well as the lessons learned in exploring and refining the new infrastructure with the potential for deployment during Run 2.

Legal assessment tool (LAT): an interactive tool to address privacy and data protection issues for data sharing.

PubMed

Kuchinke, Wolfgang; Krauth, Christian; Bergmann, René; Karakoyun, Töresin; Woollard, Astrid; Schluender, Irene; Braasch, Benjamin; Eckert, Martin; Ohmann, Christian

2016-07-07

In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect more than 10 ESFRI research infrastructures (RI), the legal and ethical prerequisites of data sharing were examined employing a novel and pragmatic approach. We employed concepts from computer science to create legal requirement clusters that enable legal interoperability between databases for the areas of data protection, data security, Intellectual Property (IP) and security of biosample data. We analysed and extracted access rules and constraints from all data providers (databases) involved in the building of data bridges covering many of Europe's most important databases. These requirement clusters were applied to five usage scenarios representing the data flow in different data bridges: Image bridge, Phenotype data bridge, Personalised medicine data bridge, Structural data bridge, and Biosample data bridge. A matrix was built to relate the important concepts from data protection regulations (e.g. pseudonymisation, identifyability, access control, consent management) with the results of the requirement clusters. An interactive user interface for querying the matrix for requirements necessary for compliant data sharing was created. To guide researchers without the need for legal expert knowledge through legal requirements, an interactive tool, the Legal Assessment Tool (LAT), was developed. LAT provides researchers interactively with a selection process to characterise the involved types of data and databases and provides suitable requirements and recommendations for concrete data access and sharing situations. The results provided by LAT are based on an analysis of the data access and sharing conditions for different kinds of data of major databases in Europe. Data sharing for research purposes must be opened for human health data and LAT is one of the means to achieve this aim. In summary, LAT provides requirements in an interactive way for compliant data access and sharing with appropriate safeguards, restrictions and responsibilities by introducing a culture of responsibility and data governance when dealing with human data.

Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets

PubMed Central

de Vent, Nathalie R.; Agelink van Rentergem, Joost A.; Schmand, Ben A.; Murre, Jaap M. J.; Huizenga, Hilde M.

2016-01-01

In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given. PMID:27812340

Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets.

PubMed

de Vent, Nathalie R; Agelink van Rentergem, Joost A; Schmand, Ben A; Murre, Jaap M J; Huizenga, Hilde M

2016-01-01

In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given.

[Paternal exposure to occupational electromagnetic radiation and sex ratio of the offspring: a meta-analysis].

PubMed

Tong, Shu-Hui; Liu, Yi-Ting; Liu, Yang

2013-02-01

To investigate the association between paternal exposure to occupational electromagnetic radiation and the sex ratio of the offspring. We searched various databases, including PubMed, Embase, Cochrane Library, OVID, Bioscience Information Service (BIOSIS), China National Knowledge Infrastructure, VIP Database for Chinese Technical Periodicals and Wanfang Database, for the literature relevant to the association of paternal exposure to occupational electromagnetic radiation with the sex ratio of the offspring. We conducted a meta-analysis on their correlation using Stata 11.0. There was no statistically significant difference in the sex ratio between the offspring with paternal exposure to occupational electromagnetic radiation and those without (pooled OR = 1.00 [95% CI: 0.95 -1.05], P = 0.875). Subgroup analysis of both case-control and cohort studies revealed no significant difference (pooled OR = 1.03 [95% CI: 0.99 -1.08], P = 0.104 and pooled OR = 0.98 [95% CI: 0.99 -1.08], P = 0.186, respectively). Paternal exposure to occupational electromagnetic radiation is not correlated with the sex ratio of the offspring.

Breviscapine Injection Improves the Therapeutic Effect of Western Medicine on Angina Pectoris Patients.

PubMed

Wang, Chuan; Li, Yafeng; Gao, Shoucui; Cheng, Daxin; Zhao, Sihai; Liu, Enqi

2015-01-01

To evaluate the beneficial and adverse effects of breviscapine injection in combination with Western medicine on the treatment of patients with angina pectoris. The Cochrane Central Register of Controlled Trials, Medline, Science Citation Index, EMBASE, the China National Knowledge Infrastructure, the Wanfang Database, the Chongqing VIP Information Database and the China Biomedical Database were searched to identify randomized clinical trials (RCTs) that evaluated the effects of Western medicine compared to breviscapine injection plus Western medicine on angina pectoris patients. The included studies were analyzed using RevMan 5.1.0 software. The literature search yielded 460 studies, wherein 16 studies matched the selection criteria. The results showed that combined therapy using Breviscapine plus Western medicine was superior to Western medicine alone for improving angina pectoris symptoms (OR=3.77, 95% Cl: 2.76~5.15) and also resulted in increased electrocardiogram (ECG) improvement (OR=2.77, 95% Cl: 2.16~3.53). The current evidence suggests that Breviscapine plus Western medicine achieved a superior therapeutic effect compared to Western medicine alone.

Breviscapine Injection Improves the Therapeutic Effect of Western Medicine on Angina Pectoris Patients

PubMed Central

Wang, Chuan; Li, Yafeng; Gao, Shoucui; Cheng, Daxin; Zhao, Sihai; Liu, Enqi

2015-01-01

To evaluate the beneficial and adverse effects of breviscapine injection in combination with Western medicine on the treatment of patients with angina pectoris. The Cochrane Central Register of Controlled Trials, Medline, Science Citation Index, EMBASE, the China National Knowledge Infrastructure, the Wanfang Database, the Chongqing VIP Information Database and the China Biomedical Database were searched to identify randomized clinical trials (RCTs) that evaluated the effects of Western medicine compared to breviscapine injection plus Western medicine on angina pectoris patients. The included studies were analyzed using RevMan 5.1.0 software. The literature search yielded 460 studies, wherein 16 studies matched the selection criteria. The results showed that combined therapy using Breviscapine plus Western medicine was superior to Western medicine alone for improving angina pectoris symptoms (OR =3.77, 95% Cl: 2.76~5.15) and also resulted in increased electrocardiogram (ECG) improvement (OR=2.77, 95% Cl: 2.16~3.53). The current evidence suggests that Breviscapine plus Western medicine achieved a superior therapeutic effect compared to Western medicine alone. PMID:26052709

32 CFR 240.4 - Policy.

Code of Federal Regulations, 2012 CFR

2012-07-01

... enterprise information infrastructure requirements. (c) The academic disciplines, with concentrations in IA..., computer systems analysis, cyber operations, cybersecurity, database administration, data management... infrastructure development and academic research to support the DoD IA/IT critical areas of interest. ...

32 CFR 240.4 - Policy.

Code of Federal Regulations, 2013 CFR

2013-07-01

... enterprise information infrastructure requirements. (c) The academic disciplines, with concentrations in IA..., computer systems analysis, cyber operations, cybersecurity, database administration, data management... infrastructure development and academic research to support the DoD IA/IT critical areas of interest. ...

32 CFR 240.4 - Policy.

Code of Federal Regulations, 2014 CFR

2014-07-01

... enterprise information infrastructure requirements. (c) The academic disciplines, with concentrations in IA..., computer systems analysis, cyber operations, cybersecurity, database administration, data management... infrastructure development and academic research to support the DoD IA/IT critical areas of interest. ...

Information Collection using Handheld Devices in Unreliable Networking Environments

DTIC Science & Technology

2014-06-01

different types of mobile devices that connect wirelessly to a database 8 server. The actual backend database is not important to the mobile clients...Google’s infrastructure and local servers with MySQL and PostgreSQL on the backend (ODK 2014b). (2) Google Fusion Tables are used to do basic link...how we conduct business. Our requirements to share information do not change simply because there is little or no existing infrastructure in our

USGS Information Technology Strategic Plan: Fiscal Years 2007-2011

USGS Publications Warehouse

,

2006-01-01

Introduction: The acquisition, management, communication, and long-term stewardship of natural science data, information, and knowledge are fundamental mission responsibilities of the U.S. Geological Survey (USGS). USGS scientists collect, maintain, and exchange raw scientific data and interpret and analyze it to produce a wide variety of science-based products. Managers throughout the Bureau access, summarize, and analyze administrative or business-related information to budget, plan, evaluate, and report on programs and projects. Information professionals manage the extensive and growing stores of irreplaceable scientific information and knowledge in numerous databases, archives, libraries, and other digital and nondigital holdings. Information is the primary currency of the USGS, and it flows to scientists, managers, partners, and a wide base of customers, including local, State, and Federal agencies, private sector organizations, and individual citizens. Supporting these information flows is an infrastructure of computer systems, telecommunications equipment, software applications, digital and nondigital data stores and archives, technical expertise, and information policies and procedures. This infrastructure has evolved over many years and consists of tools and technologies acquired or built to address the specific requirements of particular projects or programs. Developed independently, the elements of this infrastructure were typically not designed to facilitate the exchange of data and information across programs or disciplines, to allow for sharing of information resources or expertise, or to be combined into a Bureauwide and broader information infrastructure. The challenge to the Bureau is to wisely and effectively use its information resources to create a more Integrated Information Environment that can reduce costs, enhance the discovery and delivery of scientific products, and improve support for science. This Information Technology Strategic Plan for the USGS outlines key information technology (IT) strategic goals and objectives that will support the Bureau's science mission, while also aligning with the Department of the Interior (DOI) IT Strategic Plan and the DOI Government Performance and Results Act (GPRA) Strategic Plan.

Transformative Use of an Improved All-Payer Hospital Discharge Data Infrastructure for Community-Based Participatory Research: A Sustainability Pathway

PubMed Central

Salemi, Jason L; Salinas-Miranda, Abraham A; Wilson, Roneé E; Salihu, Hamisu M

2015-01-01

Objective To describe the use of a clinically enhanced maternal and child health (MCH) database to strengthen community-engaged research activities, and to support the sustainability of data infrastructure initiatives. Data Sources/Study Setting Population-based, longitudinal database covering over 2.3 million mother–infant dyads during a 12-year period (1998–2009) in Florida. Setting: A community-based participatory research (CBPR) project in a socioeconomically disadvantaged community in central Tampa, Florida. Study Design Case study of the use of an enhanced state database for supporting CBPR activities. Principal Findings A federal data infrastructure award resulted in the creation of an MCH database in which over 92 percent of all birth certificate records for infants born between 1998 and 2009 were linked to maternal and infant hospital encounter-level data. The population-based, longitudinal database was used to supplement data collected from focus groups and community surveys with epidemiological and health care cost data on important MCH disparity issues in the target community. Data were used to facilitate a community-driven, decision-making process in which the most important priorities for intervention were identified. Conclusions Integrating statewide all-payer, hospital-based databases into CBPR can empower underserved communities with a reliable source of health data, and it can promote the sustainability of newly developed data systems. PMID:25879276

National Transportation Atlas Databases : 2014

DOT National Transportation Integrated Search

2014-01-01

The National Transportation Atlas Databases 2014 : (NTAD2014) is a set of nationwide geographic datasets of : transportation facilities, transportation networks, associated : infrastructure, and other political and administrative entities. : These da...

National Transportation Atlas Databases : 2015

DOT National Transportation Integrated Search

2015-01-01

The National Transportation Atlas Databases 2015 : (NTAD2015) is a set of nationwide geographic datasets of : transportation facilities, transportation networks, associated : infrastructure, and other political and administrative entities. : These da...

National Transportation Atlas Databases : 2013

DOT National Transportation Integrated Search

2013-01-01

The National Transportation Atlas Databases 2013 (NTAD2013) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure, and other political and administrative entities. These datasets i...

Initial experiences with building a health care infrastructure based on Java and object-oriented database technology.

PubMed

Dionisio, J D; Sinha, U; Dai, B; Johnson, D B; Taira, R K

1999-01-01

A multi-tiered telemedicine system based on Java and object-oriented database technology has yielded a number of practical insights and experiences on their effectiveness and suitability as implementation bases for a health care infrastructure. The advantages and drawbacks to their use, as seen within the context of the telemedicine system's development, are discussed. Overall, these technologies deliver on their early promise, with a few remaining issues that are due primarily to their relative newness.

A digital library for medical imaging activities

NASA Astrophysics Data System (ADS)

dos Santos, Marcelo; Furuie, Sérgio S.

2007-03-01

This work presents the development of an electronic infrastructure to make available a free, online, multipurpose and multimodality medical image database. The proposed infrastructure implements a distributed architecture for medical image database, authoring tools, and a repository for multimedia documents. Also it includes a peer-reviewed model that assures quality of dataset. This public repository provides a single point of access for medical images and related information to facilitate retrieval tasks. The proposed approach has been used as an electronic teaching system in Radiology as well.

a Webgis for the Knowledge and Conservation of the Historical Wall Structures of the 13TH-18TH Centuries

NASA Astrophysics Data System (ADS)

Vacca, G.; Pili, D.; Fiorino, D. R.; Pintus, V.

2017-05-01

The presented work is part of the research project, titled "Tecniche murarie tradizionali: conoscenza per la conservazione ed il miglioramento prestazionale" (Traditional building techniques: from knowledge to conservation and performance improvement), with the purpose of studying the building techniques of the 13th-18th centuries in the Sardinia Region (Italy) for their knowledge, conservation, and promotion. The end purpose of the entire study is to improve the performance of the examined structures. In particular, the task of the authors within the research project was to build a WebGIS to manage the data collected during the examination and study phases. This infrastructure was entirely built using Open Source software. The work consisted of designing a database built in PostgreSQL and its spatial extension PostGIS, which allows to store and manage feature geometries and spatial data. The data input is performed via a form built in HTML and PHP. The HTML part is based on Bootstrap, an open tools library for websites and web applications. The implementation of this template used both PHP and Javascript code. The PHP code manages the reading and writing of data to the database, using embedded SQL queries. As of today, we surveyed and archived more than 300 buildings, belonging to three main macro categories: fortification architectures, religious architectures, residential architectures. The masonry samples investigated in relation to the construction techniques are more than 150. The database is published on the Internet as a WebGIS built using the Leaflet Javascript open libraries, which allows creating map sites with background maps and navigation, input and query tools. This too uses an interaction of HTML, Javascript, PHP and SQL code.

Building the Digital Library Infrastructure: A Primer.

ERIC Educational Resources Information Center

Tebbetts, Diane R.

1999-01-01

Provides a framework for examining the complex infrastructure needed to successfully implement a digital library. Highlights include database development, online public-access catalogs, interactive technical services, full-text documents, hardware and wiring, licensing, access, and security issues. (Author/LRW)

[Meta-analysis on the effects of health education towards HIV/AIDS high-risk behavior, knowledge, and related attitude among floating population in China].

PubMed

Chen, Lan-xin; Liang, Hao; Yang, Xiao-bo

2012-01-01

To evaluate the effects of health education on HIV/AIDS high-risk behaviors, knowledge, and attitude among floating population in China. A computerized literature searching was carried out in Chinese Biomedical Database, Chinese National Knowledge Infrastructure, Wan Fang and VIP databases to collect articles published in China between 2005 and 2010. Words as "AIDS", "Floating Population", "Intervention", "Health Education", "High-risk Behavior" were used. Type of studies would include "self-control intervention studies or studies containing sections of self-control intervention". Meta-analyses were performed to assess 8 outcomes which targeting on high-risk behavior, knowledge and attitudes of AIDS. RevMan 4.2 software was used to analyze the intervention effects for these indexes. After the interventions, the rate on awareness of "Whether condoms can reduce the HIV/AIDS infection risk" increased by 23% [rate difference (RD) 95%CI: 0.19, 0.27] and "Whether keeping monogamous sexual relationship can reduce the risk of infection" increased by 18% (RD 95%CI: 0.14, 0.23). The proportion of "Willing to use condoms in sexual life" increased by 16% (RD 95%CI: 0.11, 0.22); and "The incidence of commercial sex behaviors" reduced by 6% (RD 95%CI: -0.11, -0.02). "The Ratio of condom use during commercial sex behaviors" increased by 17% (RD 95%CI: 0.10, 0.23). and "Recent use of condoms during sex" increased by 25% (RD 95%CI: 0.15, 0.35). All the data showed significant differences (P < 0.01), respectively. After health education, great improvements were found for HIV-related sexual knowledge, attitudes, and behaviors among the floating population.

Arbuscular mycorrhizal symbiosis for sustainable cultivation of Chinese medicinal plants: a promising research direction.

PubMed

Zeng, Yan; Guo, Lan-Ping; Chen, Bao-Dong; Hao, Zhi-Peng; Wang, Ji-Yong; Huang, Lu-Qi; Yang, Guang; Cui, Xiu-Ming; Yang, Li; Wu, Zhao-Xiang; Chen, Mei-Lan; Zhang, Yan

2013-01-01

Arbuscular mycorrhizal (AM) are symbiotic systems in nature and have great significance in promoting the growth and stress resistance of medicinal plants. During our literature search from the Chinese Scientific Information Database (Chinese National Knowledge Infrastructure, CNKI) we obtained 65 articles with "AM fungi" and "medicinal plant" as the key words, which indicates that in China, research efforts on these topics have been increasing. The main purposes of this review are to discuss the effects of mycorrhiza on the active ingredients of Chinese medicinal plants in comparison with results obtained in other plants in studies conducted by the international research community, and to introduce works published in Chinese journals to international colleagues.

Viral genome analysis and knowledge management.

PubMed

Kuiken, Carla; Yoon, Hyejin; Abfalterer, Werner; Gaschen, Brian; Lo, Chienchi; Korber, Bette

2013-01-01

One of the challenges of genetic data analysis is to combine information from sources that are distributed around the world and accessible through a wide array of different methods and interfaces. The HIV database and its footsteps, the hepatitis C virus (HCV) and hemorrhagic fever virus (HFV) databases, have made it their mission to make different data types easily available to their users. This involves a large amount of behind-the-scenes processing, including quality control and analysis of the sequences and their annotation. Gene and protein sequences are distilled from the sequences that are stored in GenBank; to this end, both submitter annotation and script-generated sequences are used. Alignments of both nucleotide and amino acid sequences are generated, manually curated, distilled into an alignment model, and regenerated in an iterative cycle that results in ever better new alignments. Annotation of epidemiological and clinical information is parsed, checked, and added to the database. User interfaces are updated, and new interfaces are added based upon user requests. Vital for its success, the database staff are heavy users of the system, which enables them to fix bugs and find opportunities for improvement. In this chapter we describe some of the infrastructure that keeps these heavily used analysis platforms alive and vital after nearly 25 years of use. The database/analysis platforms described in this chapter can be accessed at http://hiv.lanl.gov http://hcv.lanl.gov http://hfv.lanl.gov.

Self-concept of left-behind children in China: a systematic review of the literature.

PubMed

Wang, X; Ling, L; Su, H; Cheng, J; Jin, L; Sun, Y-H

2015-05-01

The aim of our study was to systematically review studies which had compared self-concept in left-behind children with the general population of children in China. Relevant studies about self-concept of left-behind children in China published from 2004 to 2014 were sought by searching online databases including Chinese Biological Medicine Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, Vip Database, PubMed Database, Google Scholar and Web of Science. The methodological quality of the articles was assessed by using Newcastle-Ottawa Scale (NOS). Poled effect size and associated 95% confidence interval (CI) were calculated using the random effects model. Cochrane's Q was used to test for heterogeneity and I(2) index was used to determine the degree of heterogeneity. Nineteen studies involving 7758 left-behind children met the inclusion criteria and 15 studies were included in a meta-analysis. The results indicated that left-behind group had a lower score of self-concept and more psychological problems than the control group. The factors associated with self-concept in left-behind children were gender, age, grade and the relationships with parents, guardians and teachers. Left-behind children had lower self-concept and more mental health problems compared with the general population of children. The development of self-concept may be an important channel for promoting mental health of left-behind children. © 2014 John Wiley & Sons Ltd.

Integrative medicine for managing the symptoms of lupus nephritis

PubMed Central

Choi, Tae-Young; Jun, Ji Hee; Lee, Myeong Soo

2018-01-01

Abstract Background: Integrative medicine is claimed to improve symptoms of lupus nephritis. No systematic reviews have been performed for the application of integrative medicine for lupus nephritis on patients with systemic lupus erythematosus (SLE). Thus, this review will aim to evaluate the current evidence on the efficacy of integrative medicine for the management of lupus nephritis in patients with SLE. Methods and analyses: The following electronic databases will be searched for studies published from their dates of inception February 2018: Medline, EMBASE and the Cochrane Central Register of Controlled Trials (CENTRAL), as well as 6 Korean medical databases (Korea Med, the Oriental Medicine Advanced Search Integrated System [OASIS], DBpia, the Korean Medical Database [KM base], the Research Information Service System [RISS], and the Korean Studies Information Services System [KISS]), and 1 Chinese medical database (the China National Knowledge Infrastructure [CNKI]). Study selection, data extraction, and assessment will be performed independently by 2 researchers. The risk of bias (ROB) will be assessed using the Cochrane ROB tool. Dissemination: This systematic review will be published in a peer-reviewed journal and disseminated both electronically and in print. The review will be updated to inform and guide healthcare practice and policy. Trial registration number: PROSPERO 2018 CRD42018085205 PMID:29595669

[Meta-analysis for correlation between multiple lung lobe lesions and prognostic influence on acquired pneumonia in hospitalized elderly patients].

PubMed

Huang, Wenjie; Feng, Wei; Li, Yang; Chen, Yu

2014-11-01

To explore the correlation regarding the prognostic influence between multiple lung lobe lesions and acquired pneumonia in hospitalized elderly patients by a Meta-analysis. We collected all studies which investigated the correlation regarding the prognostic effect between multiple lung lobe lesions and acquired pneumonia by searching China National Knowledge Infrastructure, Wanfang Database, Chinese Science and Technology Periodical Database, Chinese Biological Medical Literature Database, PubMed, and EMBase in accordance with the inclusion and exclusion criteria. Th e retrieval limit time of searches was from databases establishment to July 2014. Th e Meta-analysis was performed by using RevMan5.2 soft ware. We calculated the odds ratio (OR) and 95% confidence interval (95% CI) by using heterogeneous tests. Publication bias was assessed by Egger's test and funnel plot, and the sensitivity was analyzed. Ten studies involving 1 836 patients were finally included, with 487 cases (the dead group) and 1 349 controls (the survival group). The Meta-analysis demonstrated that multiple lung lobe lesions was highly correlated with the prognosis for the aged acquired pneumonia (OR=3.22, 95% CI 1.84 to 5.63). Multiple lung lobe lesions increase the risk of death in the prognosis of the aged patients with acquired pneumonia.

Meta-analysis on the effectiveness of team-based learning on medical education in China.

PubMed

Chen, Minjian; Ni, Chunhui; Hu, Yanhui; Wang, Meilin; Liu, Lu; Ji, Xiaoming; Chu, Haiyan; Wu, Wei; Lu, Chuncheng; Wang, Shouyu; Wang, Shoulin; Zhao, Liping; Li, Zhong; Zhu, Huijuan; Wang, Jianming; Xia, Yankai; Wang, Xinru

2018-04-10

Team-based learning (TBL) has been adopted as a new medical pedagogical approach in China. However, there are no studies or reviews summarizing the effectiveness of TBL on medical education. This study aims to obtain an overall estimation of the effectiveness of TBL on outcomes of theoretical teaching of medical education in China. We retrieved the studies from inception through December, 2015. Chinese National Knowledge Infrastructure, Chinese Biomedical Literature Database, Chinese Wanfang Database, Chinese Scientific Journal Database, PubMed, EMBASE and Cochrane Database were searched. The quality of included studies was assessed by the Newcastle-Ottawa scale. Standardized mean difference (SMD) was applied for the estimation of the pooled effects. Heterogeneity assumption was detected by I 2 statistics, and was further explored by meta-regression analysis. A total of 13 articles including 1545 participants eventually entered into the meta-analysis. The quality scores of these studies ranged from 6 to 10. Altogether, TBL significantly increased students' theoretical examination scores when compared with lecture-based learning (LBL) (SMD = 2.46, 95% CI: 1.53-3.40). Additionally, TBL significantly increased students' learning attitude (SMD = 3.23, 95% CI: 2.27-4.20), and learning skill (SMD = 2.70, 95% CI: 1.33-4.07). The meta-regression results showed that randomization, education classification and gender diversity were the factors that caused heterogeneity. TBL in theoretical teaching of medical education seems to be more effective than LBL in improving the knowledge, attitude and skill of students in China, providing evidence for the implement of TBL in medical education in China. The medical schools should implement TBL with the consideration on the practical teaching situations such as students' education level.

Impacts of Permafrost on Infrastructure and Ecosystem Services

NASA Astrophysics Data System (ADS)

Trochim, E.; Schuur, E.; Schaedel, C.; Kelly, B. P.

2017-12-01

The Study of Environmental Arctic Change (SEARCH) program developed knowledge pyramids as a tool for advancing scientific understanding and making this information accessible for decision makers. Knowledge pyramids are being used to synthesize, curate and disseminate knowledge of changing land ice, sea ice, and permafrost in the Arctic. Each pyramid consists of a one-two page summary brief in broadly accessible language and literature organized by levels of detail including synthesizes and scientific building blocks. Three knowledge pyramids have been produced related to permafrost on carbon, infrastructure, and ecosystem services. Each brief answers key questions with high societal relevance framed in policy-relevant terms. The knowledge pyramids concerning infrastructure and ecosystem services were developed in collaboration with researchers specializing in the specific topic areas in order to identify the most pertinent issues and accurately communicate information for integration into policy and planning. For infrastructure, the main issue was the need to build consensus in the engineering and science communities for developing improved methods for incorporating data applicable to building infrastructure on permafrost. In ecosystem services, permafrost provides critical landscape properties which affect basic human needs including fuel and drinking water availability, access to hunting and harvest, and fish and wildlife habitat. Translating these broad and complex topics necessitated a systematic and iterative approach to identifying key issues and relating them succinctly to the best state of the art research. The development of the knowledge pyramids provoked collaboration and synthesis across distinct research and engineering communities. The knowledge pyramids also provide a solid basis for policy development and the format allows the content to be regularly updated as the research community advances.

Global Oil & Gas Features Database

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

Kelly Rose; Jennifer Bauer; Vic Baker

This submission contains a zip file with the developed Global Oil & Gas Features Database (as an ArcGIS geodatabase). Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase

An infrastructure for ontology-based information systems in biomedicine: RICORDO case study.

PubMed

Wimalaratne, Sarala M; Grenon, Pierre; Hoehndorf, Robert; Gkoutos, Georgios V; de Bono, Bernard

2012-02-01

The article presents an infrastructure for supporting the semantic interoperability of biomedical resources based on the management (storing and inference-based querying) of their ontology-based annotations. This infrastructure consists of: (i) a repository to store and query ontology-based annotations; (ii) a knowledge base server with an inference engine to support the storage of and reasoning over ontologies used in the annotation of resources; (iii) a set of applications and services allowing interaction with the integrated repository and knowledge base. The infrastructure is being prototyped and developed and evaluated by the RICORDO project in support of the knowledge management of biomedical resources, including physiology and pharmacology models and associated clinical data. The RICORDO toolkit and its source code are freely available from http://ricordo.eu/relevant-resources. sarala@ebi.ac.uk.

Can the University Escape from the Labyrinth of Technology? Part 1: Rethinking the Intellectual and Professional Division of Labor and Its Knowledge Infrastructure

ERIC Educational Resources Information Center

Vanderburg, Willem H.

2006-01-01

The role tradition played in preindustrial societies has been supplanted by the decisions of countless specialists organized by means of an intellectual and professional division of labor shaping a knowledge infrastructure that sustains these decisions. Three limitations of this knowledge system are discussed: (a) on the macrolevel, it imposes an…

Integrating TRENCADIS components in gLite to share DICOM medical images and structured reports.

PubMed

Blanquer, Ignacio; Hernández, Vicente; Salavert, José; Segrelles, Damià

2010-01-01

The problem of sharing medical information among different centres has been tackled by many projects. Several of them target the specific problem of sharing DICOM images and structured reports (DICOM-SR), such as the TRENCADIS project. In this paper we propose sharing and organizing DICOM data and DICOM-SR metadata benefiting from the existent deployed Grid infrastructures compliant with gLite such as EGEE or the Spanish NGI. These infrastructures contribute with a large amount of storage resources for creating knowledge databases and also provide metadata storage resources (such as AMGA) to semantically organize reports in a tree-structure. First, in this paper, we present the extension of TRENCADIS architecture to use gLite components (LFC, AMGA, SE) on the shake of increasing interoperability. Using the metadata from DICOM-SR, and maintaining its tree structure, enables federating different but compatible diagnostic structures and simplifies the definition of complex queries. This article describes how to do this in AMGA and it shows an approach to efficiently code radiology reports to enable the multi-centre federation of data resources.

Development, deployment and operations of ATLAS databases

NASA Astrophysics Data System (ADS)

Vaniachine, A. V.; Schmitt, J. G. v. d.

2008-07-01

In preparation for ATLAS data taking, a coordinated shift from development towards operations has occurred in ATLAS database activities. In addition to development and commissioning activities in databases, ATLAS is active in the development and deployment (in collaboration with the WLCG 3D project) of the tools that allow the worldwide distribution and installation of databases and related datasets, as well as the actual operation of this system on ATLAS multi-grid infrastructure. We describe development and commissioning of major ATLAS database applications for online and offline. We present the first scalability test results and ramp-up schedule over the initial LHC years of operations towards the nominal year of ATLAS running, when the database storage volumes are expected to reach 6.1 TB for the Tag DB and 1.0 TB for the Conditions DB. ATLAS database applications require robust operational infrastructure for data replication between online and offline at Tier-0, and for the distribution of the offline data to Tier-1 and Tier-2 computing centers. We describe ATLAS experience with Oracle Streams and other technologies for coordinated replication of databases in the framework of the WLCG 3D services.

Ways forward in quantifying data uncertainty in geological databases

NASA Astrophysics Data System (ADS)

Kint, Lars; Chademenos, Vasileios; De Mol, Robin; Kapel, Michel; Lagring, Ruth; Stafleu, Jan; van Heteren, Sytze; Van Lancker, Vera

2017-04-01

Issues of compatibility of geological data resulting from the merging of many different data sources and time periods may jeopardize harmonization of data products. Important progress has been made due to increasing data standardization, e.g., at a European scale through the SeaDataNet and Geo-Seas data management infrastructures. Common geological data standards are unambiguously defined, avoiding semantic overlap in geological data and associated metadata. Quality flagging is also applied increasingly, though ways in further propagating this information in data products is still at its infancy. For the Belgian and southern Netherlands part of the North Sea, databases are now rigorously re-analyzed in view of quantifying quality flags in terms of uncertainty to be propagated through a 3D voxel model of the subsurface (https://odnature.naturalsciences.be/tiles/). An approach is worked out to consistently account for differences in positioning, sampling gear, analysis procedures and vintage. The flag scaling is used in the interpolation process of geological data, but will also be used when visualizing the suitability of geological resources in a decision support system. Expert knowledge is systematically revisited as to avoid totally inappropriate use of the flag scaling process. The quality flagging is also important when communicating results to end-users. Therefore, an open data policy in combination with several processing tools will be at the heart of a new Belgian geological data portal as a platform for knowledge building (KB) and knowledge management (KM) serving the marine geoscience, the policy community and the public at large.

An innovative approach to addressing childhood obesity: a knowledge-based infrastructure for supporting multi-stakeholder partnership decision-making in Quebec, Canada.

PubMed

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L; Dubé, Laurette

2015-01-23

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a "portrait", which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity.

An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada

PubMed Central

Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L.; Dubé, Laurette

2015-01-01

Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity. PMID:25625409

Services and the National Information Infrastructure. Report of the Information Infrastructure Task Force Committee on Applications and Technology, Technology Policy Working Group. Draft for Public Comment.

ERIC Educational Resources Information Center

Office of Science and Technology Policy, Washington, DC.

In this report, the National Information Infrastructure (NII) services issue is addressed, and activities to advance the development of NII services are recommended. The NII is envisioned to grow into a seamless web of communications networks, computers, databases, and consumer electronics that will put vast amounts of information at users'…

A neotropical Miocene pollen database employing image-based search and semantic modeling.

PubMed

Han, Jing Ginger; Cao, Hongfei; Barb, Adrian; Punyasena, Surangi W; Jaramillo, Carlos; Shyu, Chi-Ren

2014-08-01

Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the palynological community a computational framework for information sharing and knowledge transfer. • Mathematical methods were used to assign trait semantics (abstract morphological representations) of the images of neotropical Miocene pollen and spores. Advanced database-indexing structures were built to compare and retrieve similar images based on their visual content. A Web-based system was developed to provide novel tools for automatic trait semantic annotation and image retrieval by trait semantics and visual content. • Mathematical models that map visual features to trait semantics can be used to annotate images with morphology semantics and to search image databases with improved reliability and productivity. Images can also be searched by visual content, providing users with customized emphases on traits such as color, shape, and texture. • Content- and semantic-based image searches provide a powerful computational platform for pollen and spore identification. The infrastructure outlined provides a framework for building a community-wide palynological resource, streamlining the process of manual identification, analysis, and species discovery.

Necessity and feasibility of improving mental health services in China: A systematic qualitative review.

PubMed

Zhao, Xudong; Liu, Liang; Hu, Chengping; Chen, Fazhan; Sun, Xirong

2017-07-01

It has been nearly 40 years since the reform and opening up of Mainland China. The mental health services system has developed rapidly as a part of the profound socioeconomic changes that ensued. However, its development has not been as substantial as other areas of medical care. For the current qualitative systematic review, we searched databases, including China Biology Medicine disc, Weipu, China National Knowledge Infrastructure, Wanfang digital periodical full text data, China's important newspaper full text database, China Statistical Yearbook database, etc. The content of primary research, literature, and policy papers about the evolution and development of Chinese mental health services was systemically reviewed and analysed by using thematic analysis. Two main themes relative to the necessity and feasibility of reforming the current mental health services system emerged. We discuss 5 corresponding subthemes under the umbrella of the necessity of improving the current treatment, rehabilitation, prevention, and service systems and 7 requirements for the feasibility of reforming the current system. We conclude that as the development of the Chinese economy and the spirit of humanistic care continue, the improvement and reformation of the mental health services system are both necessary and feasible. Copyright © 2017 John Wiley & Sons, Ltd.

Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.

PubMed

Fernandes, Andrea C; Dutta, Rina; Velupillai, Sumithra; Sanyal, Jyoti; Stewart, Robert; Chandran, David

2018-05-09

Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information extraction from free text notes as well as structured fields concerning suicidality and this allows access to much larger cohorts than previously possible. This paper presents two novel NLP approaches - a rule-based approach to classify the presence of suicide ideation and a hybrid machine learning and rule-based approach to identify suicide attempts in a psychiatric clinical database. Good performance of the two classifiers in the evaluation study suggest they can be used to accurately detect mentions of suicide ideation and attempt within free-text documents in this psychiatric database. The novelty of the two approaches lies in the malleability of each classifier if a need to refine performance, or meet alternate classification requirements arises. The algorithms can also be adapted to fit infrastructures of other clinical datasets given sufficient clinical recording practice knowledge, without dependency on medical codes or additional data extraction of known risk factors to predict suicidal behaviour.

USDA food and nutrient databases provide the infrastructure for food and nutrition research, policy, and practice.

PubMed

Ahuja, Jaspreet K C; Moshfegh, Alanna J; Holden, Joanne M; Harris, Ellen

2013-02-01

The USDA food and nutrient databases provide the basic infrastructure for food and nutrition research, nutrition monitoring, policy, and dietary practice. They have had a long history that goes back to 1892 and are unique, as they are the only databases available in the public domain that perform these functions. There are 4 major food and nutrient databases released by the Beltsville Human Nutrition Research Center (BHNRC), part of the USDA's Agricultural Research Service. These include the USDA National Nutrient Database for Standard Reference, the Dietary Supplement Ingredient Database, the Food and Nutrient Database for Dietary Studies, and the USDA Food Patterns Equivalents Database. The users of the databases are diverse and include federal agencies, the food industry, health professionals, restaurants, software application developers, academia and research organizations, international organizations, and foreign governments, among others. Many of these users have partnered with BHNRC to leverage funds and/or scientific expertise to work toward common goals. The use of the databases has increased tremendously in the past few years, especially the breadth of uses. These new uses of the data are bound to increase with the increased availability of technology and public health emphasis on diet-related measures such as sodium and energy reduction. Hence, continued improvement of the databases is important, so that they can better address these challenges and provide reliable and accurate data.

Open Clients for Distributed Databases

NASA Astrophysics Data System (ADS)

Chayes, D. N.; Arko, R. A.

2001-12-01

We are actively developing a collection of open source example clients that demonstrate use of our "back end" data management infrastructure. The data management system is reported elsewhere at this meeting (Arko and Chayes: A Scaleable Database Infrastructure). In addition to their primary goal of being examples for others to build upon, some of these clients may have limited utility in them selves. More information about the clients and the data infrastructure is available on line at http://data.ldeo.columbia.edu. The available examples to be demonstrated include several web-based clients including those developed for the Community Review System of the Digital Library for Earth System Education, a real-time watch standers log book, an offline interface to use log book entries, a simple client to search on multibeam metadata and others are Internet enabled and generally web-based front ends that support searches against one or more relational databases using industry standard SQL queries. In addition to the web based clients, simple SQL searches from within Excel and similar applications will be demonstrated. By defining, documenting and publishing a clear interface to the fully searchable databases, it becomes relatively easy to construct client interfaces that are optimized for specific applications in comparison to building a monolithic data and user interface system.

A Multi-Purpose Data Dissemination Infrastructure for the Marine-Earth Observations

NASA Astrophysics Data System (ADS)

Hanafusa, Y.; Saito, H.; Kayo, M.; Suzuki, H.

2015-12-01

To open the data from a variety of observations, the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has developed a multi-purpose data dissemination infrastructure. Although many observations have been made in the earth science, all the data are not opened completely. We think data centers may provide researchers with a universal data dissemination service which can handle various kinds of observation data with little effort. For this purpose JAMSTEC Data Management Office has developed the "Information Catalog Infrastructure System (Catalog System)". This is a kind of catalog management system which can create, renew and delete catalogs (= databases) and has following features, - The Catalog System does not depend on data types or granularity of data records. - By registering a new metadata schema to the system, a new database can be created on the same system without sytem modification. - As web pages are defined by the cascading style sheets, databases have different look and feel, and operability. - The Catalog System provides databases with basic search tools; search by text, selection from a category tree, and selection from a time line chart. - For domestic users it creates the Japanese and English pages at the same time and has dictionary to control terminology and proper noun. As of August 2015 JAMSTEC operates 7 databases on the Catalog System. We expect to transfer existing databases to this system, or create new databases on it. In comparison with a dedicated database developed for the specific dataset, the Catalog System is suitable for the dissemination of small datasets, with minimum cost. Metadata held in the catalogs may be transfered to other metadata schema to exchange global databases or portals. Examples: JAMSTEC Data Catalog: http://www.godac.jamstec.go.jp/catalog/data_catalog/metadataList?lang=enJAMSTEC Document Catalog: http://www.godac.jamstec.go.jp/catalog/doc_catalog/metadataList?lang=en&tab=categoryResearch Information and Data Access Site of TEAMS: http://www.i-teams.jp/catalog/rias/metadataList?lang=en&tab=list

[Startup mechanism of moxibustion warming and dredging function].

PubMed

Huang, Kaiyu; Liang, Shuang; Sun, Zheng; Zhang, Jianbin

2017-09-12

With "moxibustion" and "warm stimulation" as the keywords, the literature on moxibustion mechanism of warming and dredging from June 1st, 1995 to June 1st, 2016 was collected from PubMed, China National Knowledge Infrastructure (CNKI) and Wanfang database. The startup mechanism of moxibustion warming and dredging function was analyzed in terms of moxibustion warming stimulation. The results were found that moxibustion was based on local rising temperature of acupoint. It activated local specific receptors, heat sensitive immune cells, heat shock proteins and so on to start the warming and dredging function and produce various local effects. The warming stimulation signals as well as subsequent effects through nerve and body fluid pathways induced the effects of further specific target organs and body systems.

The European Network of Analytical and Experimental Laboratories for Geosciences

NASA Astrophysics Data System (ADS)

Freda, Carmela; Funiciello, Francesca; Meredith, Phil; Sagnotti, Leonardo; Scarlato, Piergiorgio; Troll, Valentin R.; Willingshofer, Ernst

2013-04-01

Integrating Earth Sciences infrastructures in Europe is the mission of the European Plate Observing System (EPOS).The integration of European analytical, experimental, and analogue laboratories plays a key role in this context and is the task of the EPOS Working Group 6 (WG6). Despite the presence in Europe of high performance infrastructures dedicated to geosciences, there is still limited collaboration in sharing facilities and best practices. The EPOS WG6 aims to overcome this limitation by pushing towards national and trans-national coordination, efficient use of current laboratory infrastructures, and future aggregation of facilities not yet included. This will be attained through the creation of common access and interoperability policies to foster and simplify personnel mobility. The EPOS ambition is to orchestrate European laboratory infrastructures with diverse, complementary tasks and competences into a single, but geographically distributed, infrastructure for rock physics, palaeomagnetism, analytical and experimental petrology and volcanology, and tectonic modeling. The WG6 is presently organizing its thematic core services within the EPOS distributed research infrastructure with the goal of joining the other EPOS communities (geologists, seismologists, volcanologists, etc...) and stakeholders (engineers, risk managers and other geosciences investigators) to: 1) develop tools and services to enhance visitor programs that will mutually benefit visitors and hosts (transnational access); 2) improve support and training activities to make facilities equally accessible to students, young researchers, and experienced users (training and dissemination); 3) collaborate in sharing technological and scientific know-how (transfer of knowledge); 4) optimize interoperability of distributed instrumentation by standardizing data collection, archive, and quality control standards (data preservation and interoperability); 5) implement a unified e-Infrastructure for data analysis, numerical modelling, and joint development and standardization of numerical tools (e-science implementation); 6) collect and store data in a flexible inventory database accessible within and beyond the Earth Sciences community(open access and outreach); 7) connect to environmental and hazard protection agencies, stakeholders, and public to raise consciousness of geo-hazards and geo-resources (innovation for society). We will inform scientists and industrial stakeholders on the most recent WG6 achievements in EPOS and we will show how our community is proceeding to design the thematic core services.

A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine.

PubMed

Kawamoto, Kensaku; Lobach, David F; Willard, Huntington F; Ginsburg, Geoffrey S

2009-03-23

In recent years, the completion of the Human Genome Project and other rapid advances in genomics have led to increasing anticipation of an era of genomic and personalized medicine, in which an individual's health is optimized through the use of all available patient data, including data on the individual's genome and its downstream products. Genomic and personalized medicine could transform healthcare systems and catalyze significant reductions in morbidity, mortality, and overall healthcare costs. Critical to the achievement of more efficient and effective healthcare enabled by genomics is the establishment of a robust, nationwide clinical decision support infrastructure that assists clinicians in their use of genomic assays to guide disease prevention, diagnosis, and therapy. Requisite components of this infrastructure include the standardized representation of genomic and non-genomic patient data across health information systems; centrally managed repositories of computer-processable medical knowledge; and standardized approaches for applying these knowledge resources against patient data to generate and deliver patient-specific care recommendations. Here, we provide recommendations for establishing a national decision support infrastructure for genomic and personalized medicine that fulfills these needs, leverages existing resources, and is aligned with the Roadmap for National Action on Clinical Decision Support commissioned by the U.S. Office of the National Coordinator for Health Information Technology. Critical to the establishment of this infrastructure will be strong leadership and substantial funding from the federal government. A national clinical decision support infrastructure will be required for reaping the full benefits of genomic and personalized medicine. Essential components of this infrastructure include standards for data representation; centrally managed knowledge repositories; and standardized approaches for leveraging these knowledge repositories to generate patient-specific care recommendations at the point of care.

The Advanced Technology Operations System: ATOS

NASA Technical Reports Server (NTRS)

Kaufeler, J.-F.; Laue, H. A.; Poulter, K.; Smith, H.

1993-01-01

Mission control systems supporting new space missions face ever-increasing requirements in terms of functionality, performance, reliability and efficiency. Modern data processing technology is providing the means to meet these requirements in new systems under development. During the past few years the European Space Operations Centre (ESOC) of the European Space Agency (ESA) has carried out a number of projects to demonstrate the feasibility of using advanced software technology, in particular, knowledge based systems, to support mission operations. A number of advances must be achieved before these techniques can be moved towards operational use in future missions, namely, integration of the applications into a single system framework and generalization of the applications so that they are mission independent. In order to achieve this goal, ESA initiated the Advanced Technology Operations System (ATOS) program, which will develop the infrastructure to support advanced software technology in mission operations, and provide applications modules to initially support: Mission Preparation, Mission Planning, Computer Assisted Operations, and Advanced Training. The first phase of the ATOS program is tasked with the goal of designing and prototyping the necessary system infrastructure to support the rest of the program. The major components of the ATOS architecture is presented. This architecture relies on the concept of a Mission Information Base (MIB) as the repository for all information and knowledge which will be used by the advanced application modules in future mission control systems. The MIB is being designed to exploit the latest in database and knowledge representation technology in an open and distributed system. In conclusion the technological and implementation challenges expected to be encountered, as well as the future plans and time scale of the project, are presented.

Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies

PubMed Central

Bouwman, Jildau; Dragsted, Lars O.; Drevon, Christian A.; Elliott, Ruan; de Groot, Philip; Kaput, Jim; Mathers, John C.; Müller, Michael; Pepping, Fre; Saito, Jahn; Scalbert, Augustin; Radonjic, Marijana; Rocca-Serra, Philippe; Travis, Anthony; Wopereis, Suzan; Evelo, Chris T.

2010-01-01

The challenge of modern nutrition and health research is to identify food-based strategies promoting life-long optimal health and well-being. This research is complex because it exploits a multitude of bioactive compounds acting on an extensive network of interacting processes. Whereas nutrition research can profit enormously from the revolution in ‘omics’ technologies, it has discipline-specific requirements for analytical and bioinformatic procedures. In addition to measurements of the parameters of interest (measures of health), extensive description of the subjects of study and foods or diets consumed is central for describing the nutritional phenotype. We propose and pursue an infrastructural activity of constructing the “Nutritional Phenotype database” (dbNP). When fully developed, dbNP will be a research and collaboration tool and a publicly available data and knowledge repository. Creation and implementation of the dbNP will maximize benefits to the research community by enabling integration and interrogation of data from multiple studies, from different research groups, different countries and different—omics levels. The dbNP is designed to facilitate storage of biologically relevant, pre-processed—omics data, as well as study descriptive and study participant phenotype data. It is also important to enable the combination of this information at different levels (e.g. to facilitate linkage of data describing participant phenotype, genotype and food intake with information on study design and—omics measurements, and to combine all of this with existing knowledge). The biological information stored in the database (i.e. genetics, transcriptomics, proteomics, biomarkers, metabolomics, functional assays, food intake and food composition) is tailored to nutrition research and embedded in an environment of standard procedures and protocols, annotations, modular data-basing, networking and integrated bioinformatics. The dbNP is an evolving enterprise, which is only sustainable if it is accepted and adopted by the wider nutrition and health research community as an open source, pre-competitive and publicly available resource where many partners both can contribute and profit from its developments. We introduce the Nutrigenomics Organisation (NuGO, http://www.nugo.org) as a membership association responsible for establishing and curating the dbNP. Within NuGO, all efforts related to dbNP (i.e. usage, coordination, integration, facilitation and maintenance) will be directed towards a sustainable and federated infrastructure. PMID:21052526

The Semi-opened Infrastructure Model (SopIM): A Frame to Set Up an Organizational Learning Process

NASA Astrophysics Data System (ADS)

Grundstein, Michel

In this paper, we introduce the "Semi-opened Infrastructure Model (SopIM)" implemented to deploy Artificial Intelligence and Knowledge-based Systems within a large industrial company. This model illustrates what could be two of the operating elements of the Model for General Knowledge Management within the Enterprise (MGKME) that are essential to set up the organizational learning process that leads people to appropriate and use concepts, methods and tools of an innovative technology: the "Ad hoc Infrastructures" element, and the "Organizational Learning Processes" element.

Spatial Knowledge Infrastructures - Creating Value for Policy Makers and Benefits the Community

NASA Astrophysics Data System (ADS)

Arnold, L. M.

2016-12-01

The spatial data infrastructure is arguably one of the most significant advancements in the spatial sector. It's been a game changer for governments, providing for the coordination and sharing of spatial data across organisations and the provision of accessible information to the broader community of users. Today however, end-users such as policy-makers require far more from these spatial data infrastructures. They want more than just data; they want the knowledge that can be extracted from data and they don't want to have to download, manipulate and process data in order to get the knowledge they seek. It's time for the spatial sector to reduce its focus on data in spatial data infrastructures and take a more proactive step in emphasising and delivering the knowledge value. Nowadays, decision-makers want to be able to query at will the data to meet their immediate need for knowledge. This is a new value proposal for the decision-making consumer and will require a shift in thinking. This paper presents a model for a Spatial Knowledge Infrastructure and underpinning methods that will realise a new real-time approach to delivering knowledge. The methods embrace the new capabilities afforded through the sematic web, domain and process ontologies and natural query language processing. Semantic Web technologies today have the potential to transform the spatial industry into more than just a distribution channel for data. The Semantic Web RDF (Resource Description Framework) enables meaning to be drawn from data automatically. While pushing data out to end-users will remain a central role for data producers, the power of the semantic web is that end-users have the ability to marshal a broad range of spatial resources via a query to extract knowledge from available data. This can be done without actually having to configure systems specifically for the end-user. All data producers need do is make data accessible in RDF and the spatial analytics does the rest.

[Meta-analysis of relationship between extranodal tumor deposits and prognosis in patients with colorectal cancer].

PubMed

Zhang, Xianxiang; Shao, Shihong; Gao, Yuan; Zhang, Maoshen; Lu, Yun

2016-03-01

To investigate the relationship between extranodal tumor deposits and prognosis in patients with colorectal cancer. The literatures on extranodal tumor deposits and postoperative survival rate in patients with colorectal cancer published at home and abroad from 1990 to 2014 were retrieved in 15 English literature databases such as MEDLINE/PubMed, Web of Science, Directory of Open Access Journals(DOAJ), SpringerLink and Chinese literature databases such as Chinese Biomedical Literature Database CD-ROM, China National Knowledge Infrastructure (CNKI) Database with the internet platform of Yonsei University Library. After screening for inclusion, data extraction and quality assessment, meta-analysis was conducted by the Review Manager 5.3 software. There were 10 studies meeting the inclusion criteria for meta-analysis. The total sample size of the studies was 4 068 cases with ENTD(+) 727 cases, while ENTD(-) 3 341 cases. Meta analysis showed that 5-year overall survival rate and 5-year relapse-free survival rate were significantly lower in ENTD(+) group than those in ENTD(-) group (OR 0.27, 0.23; 95% CI:0.18 to 0.43, 0.16 to 0.34 respectively, both P=0.000); the 5-year overall survival rates were both significantly lower in ENTD(+) group as compared to ENTD(-) group for patients with N0 and N(+) colorectal cancer (both P<0.05). Extranodal tumor deposits is a poor prognostic factor of patients with colorectal cancer.

Ginkgo Biloba extract for angina pectoris: a systematic review.

PubMed

Sun, Tian; Wang, Xian; Xu, Hao

2015-07-01

To evaluate the efficacy and safety of Ginkgo Biloba extract for patients with angina pectoris according to the available evidence. Electronic databases were searched for all of the randomized controlled trials (RCTs) of angina pectoris treatments with Ginkgo Biloba extract, either alone or combined with routine Western medicine (RWM), and controlled by untreated, placebo, Chinese patent medicine, or RWM treatment. The RCTs were retrieved from the following electronic databases: PubMed/MEDLINE, ProQuest Health and Medical Complete, Springer, Elsevier, and ProQuest Dissertations and Theses, Wanfang Data, China National Knowledge Infrastructure (CNKI), VIP database, China Biology Medicine (CBM), Chinese Medical Citation Index (CMCI), from the earliest database records to December 2012. No language restriction was applied. Study selection, data extraction, quality assessment, and data analyses were conducted according to the Cochrane standards. RevMan 5.1.0 provided by Cochrane Collaboration The data were analysed by using. A total of 23 RCTs (involving 2,529 patients) were included and the methodological quality was evaluated as generally low. Ginkgo Biloba extract with RWM was more effective in angina relief and electrocardiogram improvement than RWM alone. Reported adverse events included epigastric discomfort, nausea, gastrointestinal reaction, and bitter taste. Ginkgo Biloba extract may have beneficial effects on patients with angina pectoris, although the low quality of existing trials makes it difficult to draw a satisfactory conclusion. More rigorous, high quality clinical trials are needed to provide conclusive evidence.

Meta-analysis of Huangqi injection for the adjunctive therapy of aplastic anemia

PubMed Central

Zhu, Changtai; Gao, Yulu; Jiang, Ting; Hao, Cao; Gao, Zongshuai; Sun, Yongning

2015-01-01

Aplastic anemia therapy remains difficult, due to lack of effective treatment regimens. In recent years, Huangqi injection for the adjunctive therapy of aplastic anemia has been reported in many clinical trials. Considering that Huangqi injection may be a novel approach to aplastic anemia treatment, we conducted a meta-analysis of clinical controlled trials to assess the clinical value of Huangqi injection in the treatment of aplastic anemia. We searched the Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals Full-text Database (VIP), Wanfang Database, PubMed and EMBASE database to collect the data about the trials of Huangqi injection combined with androgens for treating aplastic anemia. A total of ten studies involving 720 patients with aplastic anemia were included in this study. The meta-analysis showed significant increases in the pool effectiveness rate, white blood cells (WBC), haematoglobin (Hb), platelets (PLT), and reticulocytes (Ret) between the experimental group versus the control group. No severe side effects were found in this study. However, the lower Jadad scores and asymmetric funnel plot degrades the validity of the meta-analysis as the clinical evidence. Therefore, Huangqi injection may significantly enhance the efficacy of androgens for aplastic anemia, suggesting that the novel approach of Chinese traditional medicine combined with Western medicine is promising. The exact outcome required confirmation with rigorously well-designed multi-center trials. PMID:26379817

Investing in the Improvement of Education: Lessons to be Learned from the National Writing Project

ERIC Educational Resources Information Center

St. John, Mark; Stokes, Laura

2008-01-01

This paper defines the concept of "improvement infrastructure" and "educational capital" for education, and it uses the case of the National Writing Project to develop an extended, data-based illustration of the design and generativeness of an improvement infrastructure. Since 1983 there have been multiple "waves" of…

Modelling a critical infrastructure-driven spatial database for proactive disaster management: A developing country context

PubMed Central

Baloye, David O.

2016-01-01

The understanding and institutionalisation of the seamless link between urban critical infrastructure and disaster management has greatly helped the developed world to establish effective disaster management processes. However, this link is conspicuously missing in developing countries, where disaster management has been more reactive than proactive. The consequence of this is typified in poor response time and uncoordinated ways in which disasters and emergency situations are handled. As is the case with many Nigerian cities, the challenges of urban development in the city of Abeokuta have limited the effectiveness of disaster and emergency first responders and managers. Using geospatial techniques, the study attempted to design and deploy a spatial database running a web-based information system to track the characteristics and distribution of critical infrastructure for effective use during disaster and emergencies, with the purpose of proactively improving disaster and emergency management processes in Abeokuta.

Information demands of occupational health physicians and their attitude towards evidence-based medicine.

PubMed

Schaafsma, Frederieke; Hulshof, Carel; van Dijk, Frank; Verbeek, Jos

2004-08-01

This study assessed the extent and nature of information demands among occupational health physicians and their attitude towards the application of evidence-based medicine in occupational health. A questionnaire survey was carried out among a random sample of 159 physicians practicing occupational medicine in The Netherlands. The questionnaire investigated the type and number of questions encountered in daily practice, the actions taken in response, the physicians' experience in using scientific databases on the Internet, and their attitude towards evidence-based medicine. The occupational health physicians' questions concerned medical, legal, and rehabilitation topics in particular. In pursuing answers to their questions, they generally chose to contact colleagues. Scientific databases were not consulted very often, although, in general, the attitude towards evidence-based medicine was positive. In addition to known barriers for practicing evidence-based medicine, occupational health physicians perceive a lack of scientific evidence in their field. The extensiveness of the field of knowledge in occupational health care was not regarded as an obstacle to their application of evidence-based medicine. Occupational health physicians have a demand for information on a broad range of topics, and, in most cases, their attitude towards evidence-based medicine is fairly positive. Besides education and training in evidence-based medicine, access to the Internet and the presence of a good knowledge infrastructure would help occupational health physicians use evidence-based medicine.

Supporting evidence-based analysis for modified risk tobacco products through a toxicology data-sharing infrastructure

PubMed Central

Boué, Stéphanie; Exner, Thomas; Ghosh, Samik; Belcastro, Vincenzo; Dokler, Joh; Page, David; Boda, Akash; Bonjour, Filipe; Hardy, Barry; Vanscheeuwijck, Patrick; Hoeng, Julia; Peitsch, Manuel

2017-01-01

The US FDA defines modified risk tobacco products (MRTPs) as products that aim to reduce harm or the risk of tobacco-related disease associated with commercially marketed tobacco products.  Establishing a product’s potential as an MRTP requires scientific substantiation including toxicity studies and measures of disease risk relative to those of cigarette smoking.  Best practices encourage verification of the data from such studies through sharing and open standards. Building on the experience gained from the OpenTox project, a proof-of-concept database and website ( INTERVALS) has been developed to share results from both in vivo inhalation studies and in vitro studies conducted by Philip Morris International R&D to assess candidate MRTPs. As datasets are often generated by diverse methods and standards, they need to be traceable, curated, and the methods used well described so that knowledge can be gained using data science principles and tools. The data-management framework described here accounts for the latest standards of data sharing and research reproducibility. Curated data and methods descriptions have been prepared in ISA-Tab format and stored in a database accessible via a search portal on the INTERVALS website. The portal allows users to browse the data by study or mechanism (e.g., inflammation, oxidative stress) and obtain information relevant to study design, methods, and the most important results. Given the successful development of the initial infrastructure, the goal is to grow this initiative and establish a public repository for 21 st-century preclinical systems toxicology MRTP assessment data and results that supports open data principles. PMID:29123642

Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP

PubMed Central

Kaggal, Vinod C.; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J.; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P.; Ross, Jason L.; Chaudhry, Rajeev; Buntrock, James D.; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future. PMID:27385912

Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP.

PubMed

Kaggal, Vinod C; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P; Ross, Jason L; Chaudhry, Rajeev; Buntrock, James D; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future.

On-Line Databases in Mexico.

ERIC Educational Resources Information Center

Molina, Enzo

1986-01-01

Use of online bibliographic databases in Mexico is provided through Servicio de Consulta a Bancos de Informacion, a public service that provides information retrieval, document delivery, translation, technical support, and training services. Technical infrastructure is based on a public packet-switching network and institutional users may receive…

The research infrastructure of Chinese foundations, a database for Chinese civil society studies

PubMed Central

Ma, Ji; Wang, Qun; Dong, Chao; Li, Huafang

2017-01-01

This paper provides technical details and user guidance on the Research Infrastructure of Chinese Foundations (RICF), a database of Chinese foundations, civil society, and social development in general. The structure of the RICF is deliberately designed and normalized according to the Three Normal Forms. The database schema consists of three major themes: foundations’ basic organizational profile (i.e., basic profile, board member, supervisor, staff, and related party tables), program information (i.e., program information, major program, program relationship, and major recipient tables), and financial information (i.e., financial position, financial activities, cash flow, activity overview, and large donation tables). The RICF’s data quality can be measured by four criteria: data source reputation and credibility, completeness, accuracy, and timeliness. Data records are properly versioned, allowing verification and replication for research purposes. PMID:28742065

Astronomy: On the Bleeding Edge of Scholarly Infrastructure

NASA Astrophysics Data System (ADS)

Borgman, Christine; Sands, A.; Wynholds, L. A.

2013-01-01

The infrastructure for scholarship has moved online, making data, articles, papers, journals, catalogs, and other scholarly resources nodes in a deeply interconnected network. Astronomy has led the way on several fronts, developing tools such as ADS to provide unified access to astronomical publications and reaching agreement on a common data file formats such as FITS. Astronomy also was among the first fields to establish open access to substantial amounts of observational data. We report on the first three years of a long-term research project to study knowledge infrastructures in astronomy, funded by the NSF and the Alfred P. Sloan Foundation. Early findings indicate that the availability and use of networked technologies for integrating scholarly resources varies widely within astronomy. Substantial differences arise in the management of data between ground-based and space-based missions and between subfields of astronomy, for example. While large databases such as SDSS and MAST are essential resources for many researchers, much pointed, ground-based observational data exist only on local servers, with minimal curation. Some astronomy data are easily discoverable and usable, but many are not. International coordination activities such as IVOA and distributed access to high-level data products servers such as SIMBAD and NED are enabling further integration of published data. Astronomers are tackling yet more challenges in new forms of publishing data, algorithms, visualizations, and in assuring interoperability with parallel infrastructure efforts in related fields. New issues include data citation, attribution, and provenance. Substantial concerns remain for the long term discoverability, accessibility, usability, and curation of astronomy data and other scholarly resources. The presentation will outline these challenges, how they are being addressed by astronomy and related fields, and identify concerns and accomplishments expressed by the astronomers we have interviewed and observed.

GEM1: First-year modeling and IT activities for the Global Earthquake Model

NASA Astrophysics Data System (ADS)

Anderson, G.; Giardini, D.; Wiemer, S.

2009-04-01

GEM is a public-private partnership initiated by the Organisation for Economic Cooperation and Development (OECD) to build an independent standard for modeling and communicating earthquake risk worldwide. GEM is aimed at providing authoritative, open information about seismic risk and decision tools to support mitigation. GEM will also raise risk awareness and help post-disaster economic development, with the ultimate goal of reducing the toll of future earthquakes. GEM will provide a unified set of seismic hazard, risk, and loss modeling tools based on a common global IT infrastructure and consensus standards. These tools, systems, and standards will be developed in partnership with organizations around the world, with coordination by the GEM Secretariat and its Secretary General. GEM partners will develop a variety of global components, including a unified earthquake catalog, fault database, and ground motion prediction equations. To ensure broad representation and community acceptance, GEM will include local knowledge in all modeling activities, incorporate existing detailed models where possible, and independently test all resulting tools and models. When completed in five years, GEM will have a versatile, penly accessible modeling environment that can be updated as necessary, and will provide the global standard for seismic hazard, risk, and loss models to government ministers, scientists and engineers, financial institutions, and the public worldwide. GEM is now underway with key support provided by private sponsors (Munich Reinsurance Company, Zurich Financial Services, AIR Worldwide Corporation, and Willis Group Holdings); countries including Belgium, Germany, Italy, Singapore, Switzerland, and Turkey; and groups such as the European Commission. The GEM Secretariat has been selected by the OECD and will be hosted at the Eucentre at the University of Pavia in Italy; the Secretariat is now formalizing the creation of the GEM Foundation. Some of GEM's global components are in the planning stages, such as the developments of a unified active fault database and earthquake catalog. The flagship activity of GEM's first year is GEM1, a focused pilot project to develop GEM's first hazard and risk modeling products and initial IT infrastructure, starting in January 2009 and ending in March 2010. GEM1 will provide core capabilities for the present and key knowledge for future development of the full GEM computing Environment and product set. We will build GEM1 largely using existing tools and datasets, connected through a unified IT infrastructure, in order to bring GEM's initial capabilities online as rapidly as possible. The Swiss Seismological Service at ETH-Zurich is leading the GEM1 effort in cooperation with partners around the world. We anticipate that GEM1's products will include: • A global compilation of regional seismic source zone models in one or more common representations • Global synthetic earthquake catalogs for use in hazard calculations • Initial set of regional and global catalogues for validation • Global hazard models in map and database forms • First compilation of global vulnerabilities and fragilities • Tools for exposure and loss assessment • Validation of results and software for existing risk assessment tools to be used in future GEM stages • Demonstration risk scenarios for target cities • First version of GEM IT infrastructure All these products will be made freely available to the greatest extent possible. For more information on GEM and GEM1, please visit http://www.globalquakemodel.org.

Landslide databases to compare regional repair and mitigation strategies of transportation infrastructure

NASA Astrophysics Data System (ADS)

Wohlers, Annika; Damm, Bodo

2017-04-01

Regional data of the Central German Uplands are extracted from the German landslide database in order to understand the complex interactions between landslide risks and public risk awareness considering transportation infrastructure. Most information within the database is gathered by means of archive studies from inventories of emergency agencies, state, press and web archives, company and department records as well as scientific and (geo)technical literature. The information includes land use practices, repair and mitigation measures with resultant costs of the German road network as well as railroad and waterway networks. It therefore contains valuable information of historical and current landslide impacts, elements at risk and provides an overview of spatiotemporal changes in social exposure and vulnerability to landslide hazards over the last 120 years. On a regional scale the recorded infrastructure damages, and consequential repair or mitigation measures were categorized and classified, according to relevant landslide types, processes and types of infrastructure. In a further step, the data of recent landslides are compared with historical and modern repair and mitigation measures and are correlated with socioeconomic concepts. As a result, it is possible to identify some complex interactions between landslide hazard, risk perception, and damage impact, including time lags and intensity thresholds. The data reveal distinct concepts of repairing respectively mitigating landslides on different types of transportation infrastructure, which are not exclusively linked to higher construction efforts (e.g. embankments on railroads and channels), but changing levels of economic losses and risk perception as well. In addition, a shift from low cost prevention measures such as the removal of loose rock and vegetation, rock blasting, and catch barriers towards expensive mitigation measures such as catch fences, soil anchoring and rock nailing over time can be noticed. This temporal shift is associated with a higher public hazard awareness towards landslides which is at some sites linked to an apparent increase in landslide frequency and magnitude. Damm B., Klose M. (2015) The landslide database for Germany: Closing the gap at national level. Geomorphology. 249: 82-93. Klose, M., Damm, B., Terhorst, B. (2015): Landslide cost modeling for transportation infrastructures: a methodological approach. Landslides 12: 321-334. Klose M., Maurischat P., Damm B. (2016) Landslide impacts in Germany: A historical and socioeconomic perspective. Landslides. 13: 183-199.

Surface Transportation Security Priority Assessment

DTIC Science & Technology

2010-03-01

intercity buses), and pipelines, and related infrastructure (including roads and highways), that are within the territory of the United States...Modernizing the information technology infrastructure used to vet the identity of travelers and transportation workers  Using terrorist databases to...examination of persons travelling , surface transportation modes tend to operate in a much more open environment, making it difficult to screen workers

Comparison of the efficacy of ondansetron and granisetron to prevent postoperative nausea and vomiting after laparoscopic cholecystectomy: a systematic review and meta-analysis.

PubMed

Wu, Si-Jia; Xiong, Xian-Ze; Lin, Yi-Xin; Cheng, Nan-Sheng

2013-02-01

Our purpose was to assess the prophylactic antiemetic effects of ondansetron versus granisetron for laparoscopic cholecystectomy. We searched Medline, Cochrane Central Register of Controlled Trials, PubMed, Embase, Science Citation Index Expanded, Foreign Medical Journal Full-Text Service, China National Knowledge Infrastructure Whole Article Database, Chinese Biomedical Database, and the Google Scholar. We calculated the risk ratio (RR) with 95% confidence interval (CI) for dichotomous data. The χ(2) test and I(2) value were used to assess heterogeneity. The merged early incidence of postoperative nausea and vomiting (PONV) in ondansetron group (42.9%) was higher than granisetron group (34.3%) (RR = 1.25, 95% CI, 0.82-1.92, P=0.31, I(2) = 48%). The merged total incidence of PONV in ondansetron group (38.7%) was higher than granisetron group (34.2%) (RR = 1.13, 95% CI, 0.82-1.56, P = 0.46, I(2) = 39%), although these differences were not statistically significant. Ondansetron is equivalent to granisetron for preventing early and total incidence of PONV after laparoscopic cholecystectomy.

Case-based learning in education of Traditional Chinese Medicine: a systematic review.

PubMed

Chen, Ji; Li, Ying; Tang, Yong; Zeng, Fang; Wu, Xi; Liang, Fanrong

2013-10-01

To assess the effect of case-based learning (CBL) in the education of Traditional Chinese Medicine (TCM). The studies concerning TCM courses designed with CBL were included by searching the databases of EBSCO, Pubmed, Science Citation Index, China National Knowledge Infrastructure, Chongqing VIP database. The valid data was extracted in accordance with the included criteria. The quality of the studies was assessed with Gemma Flores-Masteo. A total of 22 articles were retrieved that met the selection criteria: one was of high quality; two were of low quality; the rest were categorized as moderate quality. The majority of the studies demonstrated the better effect produced by CBL, while a few studies showed no difference, compared with the didactic format. All included studies confirmed the favorable effect on learners' attitude, skills and ability. CBL showed the desirable results in achieving the goal of learning. Compared to didactic approach, it played a more active role in promoting students' competency. Since the quality of the articles on which the study was based was not so high, the findings still need further research to become substantiated.

In-Situ Visualization Experiments with ParaView Cinema in RAGE

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

Kares, Robert John

2015-10-15

A previous paper described some numerical experiments performed using the ParaView/Catalyst in-situ visualization infrastructure deployed in the Los Alamos RAGE radiation-hydrodynamics code to produce images from a running large scale 3D ICF simulation. One challenge of the in-situ approach apparent in these experiments was the difficulty of choosing parameters likes isosurface values for the visualizations to be produced from the running simulation without the benefit of prior knowledge of the simulation results and the resultant cost of recomputing in-situ generated images when parameters are chosen suboptimally. A proposed method of addressing this difficulty is to simply render multiple images atmore » runtime with a range of possible parameter values to produce a large database of images and to provide the user with a tool for managing the resulting database of imagery. Recently, ParaView/Catalyst has been extended to include such a capability via the so-called Cinema framework. Here I describe some initial experiments with the first delivery of Cinema and make some recommendations for future extensions of Cinema’s capabilities.« less

Nerve growth factor for Bell’s palsy: A meta-analysis

PubMed Central

SU, YIPENG; DONG, XIAOMENG; LIU, JUAN; HU, YAOZHI; CHEN, JINBO

2015-01-01

A meta-analysis was performed to evaluate the efficacy and safety of nerve growth factor (NGF) in the treatment of Bell’s palsy. PubMed, the Cochrane Central Register of Controlled Trials, Embase and a number of Chinese databases, including the China National Knowledge Infrastructure, China Biology Medicine disc, VIP Database for Chinese Technical Periodicals and Wan Fang Data, were used to collect randomised controlled trials (RCTs) of NGF for Bell’s palsy. The span of the search covered data from the date of database establishment until December 2013. The included trials were screened comprehensively and rigorously. The efficacies of NGF were pooled via meta-analysis performed using Review Manager 5.2 software. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using the fixed-effects model. The meta-analysis of eight RCTs showed favorable effects of NGF on the disease response rate (n=642; OR, 3.87; 95% CI, 2.13–7.03; P<0.01; I2=0%). However, evidence supporting the effectiveness of NGF for the treatment of Bell’s palsy is limited. The number and quality of trials are too low to form solid conclusions. Further meticulous RCTs are required to overcome the limitations identified in the present study. PMID:25574223

Acupuncture for chronic prostatitis: A systematic review and meta-analysis protocol.

PubMed

Peng, Tianzhong; Cheng, Ying; Jin, Yuhao; Xu, Na; Guo, Taipin

2018-04-01

Chronic prostatitis (CP) is a prevalent genitourinary condition. Considering its safety profile, acupuncture can be an option treating CP symptoms. The aim of this review is to undertake a systematic review to estimate the effectiveness and safety of acupuncture on CP. We will search all randomized controlled trials for CP in August 2018 in the databases of MEDLINE, Cochrane Library, Web of Science, EMBASE, Springer, WHO International Clinical Trials Registry Platform (ICTRP), China National Knowledge Infrastructure (CNKI), Wan fang, Chinese Biomedical Literature Database (CBM), PsycInfo, Chinese Scientific Journal Database (VIP), and other available resources. Languages are limited as English and Chinese. Search terms used are will "acupuncture," and "chronic prostatitis," "non-bacterial prostatitis," "abacterial prostatitis." And duplicates will be screened. The primary outcomes consisted of improvement rate and pain relief evaluated by The National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI) index. Secondary outcomes include the recurrence rate and side effects, such as pneumothorax, discomforts, and infection. This study will demonstrate an evidence-based review of acupuncture for chronic prostatitis. The study will provide clear evidence to assess the effectiveness and side effects of acupuncture for chronic prostatitis. There is no requirement of ethical approval and it will be in print or disseminated by electronic copies. CRD42018088834.

Acupuncture for neurogenesis in experimental ischemic stroke: a systematic review and meta-analysis.

PubMed

Lu, Lin; Zhang, Xiao-guang; Zhong, Linda L D; Chen, Zi-xian; Li, Yan; Zheng, Guo-qing; Bian, Zhao-xiang

2016-01-20

Acupuncture has been used for patients with stroke and post-stroke rehabilitation for thousands of years. Previous studies reported that acupuncture enhanced stroke recovery through neurogenesis. Hence, we conducted a systematic review and meta-analysis for preclinical studies to assess the current evidence for acupuncture effect on neurogenesis in treating ischaemic stroke. Studies were obtained from six databases, including PubMed, EMBASE, Cochrane Library, Chinese National Knowledge Infrastructure, VIP information database, and Chinese Biomedical Literature Database, Ultimately, 34 studies containing 1617 animals were identified. Neurogenesis markers of Brdu, Nestin, PSA-NCAM, NeuN and GFAP were selected as major outcomes. The pooled results of 15 studies marked with Brdu showed significant effects of acupuncture for improving proliferation when compared with control groups (P < 0.01); 13 studies marked with Nestin showed significant effects of acupuncture for increasing proliferation when compared with control groups (P < 0.01); 4 studies marked with PSA-NCAM showed significant effects of acupuncture for enhancing migration when compared with control groups (P < 0.01); 4 studies marked with NeuN showed significant effects of acupuncture for stimulating differentiation when compared with control groups (P < 0.01). The findings suggest that acupuncture is a prospective therapy targeting neurogenesis for ischemic stroke.

A neotropical Miocene pollen database employing image-based search and semantic modeling1

PubMed Central

Han, Jing Ginger; Cao, Hongfei; Barb, Adrian; Punyasena, Surangi W.; Jaramillo, Carlos; Shyu, Chi-Ren

2014-01-01

• Premise of the study: Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the palynological community a computational framework for information sharing and knowledge transfer. • Methods: Mathematical methods were used to assign trait semantics (abstract morphological representations) of the images of neotropical Miocene pollen and spores. Advanced database-indexing structures were built to compare and retrieve similar images based on their visual content. A Web-based system was developed to provide novel tools for automatic trait semantic annotation and image retrieval by trait semantics and visual content. • Results: Mathematical models that map visual features to trait semantics can be used to annotate images with morphology semantics and to search image databases with improved reliability and productivity. Images can also be searched by visual content, providing users with customized emphases on traits such as color, shape, and texture. • Discussion: Content- and semantic-based image searches provide a powerful computational platform for pollen and spore identification. The infrastructure outlined provides a framework for building a community-wide palynological resource, streamlining the process of manual identification, analysis, and species discovery. PMID:25202648

The integrated web service and genome database for agricultural plants with biotechnology information.

PubMed

Kim, Changkug; Park, Dongsuk; Seol, Youngjoo; Hahn, Jangho

2011-01-01

The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information from 1,039,823 records mapped to rice, Arabidopsis, and Chinese cabbage.

Decision-Support Tools and Databases to Inform Regional Stormwater Utility Development in New England

EPA Science Inventory

Development of stormwater utilities requires information on existing stormwater infrastructure and impervious cover as well as costs and benefits of stormwater management options. US EPA has developed a suite of databases and tools that can inform decision-making by regional sto...

[System evaluation on Ginkgo Biloba extract in the treatment of acute cerebral infarction].

PubMed

Wang, Lin; Zhang, Tao; Bai, Kezhen

2015-10-01

To evaluate the effect and safety of Ginkgo Biloba extract on the treatment of acute cerebral infarction.
 The Database of Wanfang, China National Knowledge Infrastructure (CNKI) and VIPU were screened for literatures regarding Ginkgo Biloba extract in the treatment of acute cerebral infarction, including the clinical randomized controlled trials. Meta-analysis based on the Revman 4.2 system was performed.
 Compared with the control group, treatment with Ginkgo Biloba extract enhanced efficacy in the treatment of acute cerebral infarction (OR: 1.60-5.53), which displayed an improved neural function defect score [WMD -3.12 (95%CI: -3.96- -2.28)].
 Ginkgo Biloba extract is beneficial to the improvement of neurological function in patients with acute cerebral infarction and it is safe for patients.

Forests and Their Canopies: Achievements and Horizons in Canopy Science.

PubMed

Nakamura, Akihiro; Kitching, Roger L; Cao, Min; Creedy, Thomas J; Fayle, Tom M; Freiberg, Martin; Hewitt, C N; Itioka, Takao; Koh, Lian Pin; Ma, Keping; Malhi, Yadvinder; Mitchell, Andrew; Novotny, Vojtech; Ozanne, Claire M P; Song, Liang; Wang, Han; Ashton, Louise A

2017-06-01

Forest canopies are dynamic interfaces between organisms and atmosphere, providing buffered microclimates and complex microhabitats. Canopies form vertically stratified ecosystems interconnected with other strata. Some forest biodiversity patterns and food webs have been documented and measurements of ecophysiology and biogeochemical cycling have allowed analyses of large-scale transfer of CO 2 , water, and trace gases between forests and the atmosphere. However, many knowledge gaps remain. With global research networks and databases, and new technologies and infrastructure, we envisage rapid advances in our understanding of the mechanisms that drive the spatial and temporal dynamics of forests and their canopies. Such understanding is vital for the successful management and conservation of global forests and the ecosystem services they provide to the world. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

a Bottom-Up Geosptial Data Update Mechanism for Spatial Data Infrastructure Updating

NASA Astrophysics Data System (ADS)

Tian, W.; Zhu, X.; Liu, Y.

2012-08-01

Currently, the top-down spatial data update mechanism has made a big progress and it is wildly applied in many SDI (spatial data infrastructure). However, this mechanism still has some issues. For example, the update schedule is limited by the professional department's project, usually which is too long for the end-user; the data form collection to public cost too much time and energy for professional department; the details of geospatial information does not provide sufficient attribute, etc. Thus, how to deal with the problems has become the effective shortcut. Emerging Internet technology, 3S technique and geographic information knowledge which is popular in the public promote the booming development of geoscience in volunteered geospatial information. Volunteered geospatial information is the current "hotspot", which attracts many researchers to study its data quality and credibility, accuracy, sustainability, social benefit, application and so on. In addition to this, a few scholars also pay attention to the value of VGI to support the SDI updating. And on that basis, this paper presents a bottom-up update mechanism form VGI to SDI, which includes the processes of match homonymous elements between VGI and SDI vector data , change data detection, SDI spatial database update and new data product publication to end-users. Then, the proposed updating cycle is deeply discussed about the feasibility of which can detect the changed elements in time and shorten the update period, provide more accurate geometry and attribute data for spatial data infrastructure and support update propagation.

The Emerging Phenomenon of Knowledge Management.

ERIC Educational Resources Information Center

Broadbent, Marianne

1997-01-01

Clarifies the meaning of knowledge management and gives examples of organizations that overtly practice it. Outlines four steps in knowledge management: (1) making knowledge visible; (2) building knowledge intensity; (3) building knowledge infrastructure; and (4) developing a knowledge culture. Discusses managing people as assets, librarians as…

Harnessing the wealth of Chinese scientific literature: schistosomiasis research and control in China

PubMed Central

Liu, Qin; Tian, Li-Guang; Xiao, Shu-Hua; Qi, Zhen; Steinmann, Peter; Mak, Tippi K; Utzinger, Jürg; Zhou, Xiao-Nong

2008-01-01

The economy of China continues to boom and so have its biomedical research and related publishing activities. Several so-called neglected tropical diseases that are most common in the developing world are still rampant or even emerging in some parts of China. The purpose of this article is to document the significant research potential from the Chinese biomedical bibliographic databases. The research contributions from China in the epidemiology and control of schistosomiasis provide an excellent illustration. We searched two widely used databases, namely China National Knowledge Infrastructure (CNKI) and VIP Information (VIP). Employing the keyword "Schistosoma" () and covering the period 1990–2006, we obtained 10,244 hits in the CNKI database and 5,975 in VIP. We examined 10 Chinese biomedical journals that published the highest number of original research articles on schistosomiasis for issues including languages and open access. Although most of the journals are published in Chinese, English abstracts are usually available. Open access to full articles was available in China Tropical Medicine in 2005/2006 and is granted by the Chinese Journal of Parasitology and Parasitic Diseases since 2003; none of the other journals examined offered open access. We reviewed (i) the discovery and development of antischistosomal drugs, (ii) the progress made with molluscicides and (iii) environmental management for schistosomiasis control in China over the past 20 years. In conclusion, significant research is published in the Chinese literature, which is relevant for local control measures and global scientific knowledge. Open access should be encouraged and language barriers removed so the wealth of Chinese research can be more fully appreciated by the scientific community. PMID:18826598

International Workshop on Educational Infrastructure: Conclusions (Summary of Proceedings, Guadalajara, Jalisco, Mexico, February 24-27, 2002).

ERIC Educational Resources Information Center

Organisation for Economic Cooperation and Development, Paris (France). Programme on Educational Building.

This document summarizes themes developed and conclusions from the International Workshop on Educational Infrastructure. The opening topic was "Delivering Education and Training in the Knowledge Society." It was clear to participants that educational infrastructure must go hand-in-hand with reengineering processes to adjust to the needs…

Progress and Challenges in Developing Reference Data Layers for Human Population Distribution and Built Infrastructure

NASA Astrophysics Data System (ADS)

Chen, R. S.; Yetman, G.; de Sherbinin, A. M.

2015-12-01

Understanding the interactions between environmental and human systems, and in particular supporting the applications of Earth science data and knowledge in place-based decision making, requires systematic assessment of the distribution and dynamics of human population and the built human infrastructure in conjunction with environmental variability and change. The NASA Socioeconomic Data and Applications Center (SEDAC) operated by the Center for International Earth Science Information Network (CIESIN) at Columbia University has had a long track record in developing reference data layers for human population and settlements and is expanding its efforts on topics such as intercity roads, reservoirs and dams, and energy infrastructure. SEDAC has set as a strategic priority the acquisition, development, and dissemination of data resources derived from remote sensing and socioeconomic data on urban land use change, including temporally and spatially disaggregated data on urban change and rates of change, the built infrastructure, and critical facilities. We report here on a range of past and ongoing activities, including the Global Human Settlements Layer effort led by the European Commission's Joint Research Centre (JRC), the Global Exposure Database for the Global Earthquake Model (GED4GEM) project, the Global Roads Open Access Data Working Group (gROADS) of the Committee on Data for Science and Technology (CODATA), and recent work with ImageCat, Inc. to improve estimates of the exposure and fragility of buildings, road and rail infrastructure, and other facilities with respect to selected natural hazards. New efforts such as the proposed Global Human Settlement indicators initiative of the Group on Earth Observations (GEO) could help fill critical gaps and link potential reference data layers with user needs. We highlight key sectors and themes that require further attention, and the many significant challenges that remain in developing comprehensive, high quality, up-to-date, and well maintained reference data layers on population and built infrastructure. The need for improved indicators of sustainable development in the context of the post-2015 development framework provides an opportunity to link data efforts directly with international development needs and investments.

Promising Data for Public Empowerment: The Making of Data Culture and Water Monitoring Infrastructures in the Marcellus Shale Gas Rush

NASA Astrophysics Data System (ADS)

Jalbert, Kirk

A recent wave of advanced technologies for collecting and interpreting data offer new opportunities for laypeople to contribute to environmental monitoring science. This dissertation examines the conditions in which building knowledge infrastructures and embracing data "cultures" empowers and disempowers communities to challenge polluting industries. The processes and technologies of data cultures give people new capacities to understand their world, and to formulate powerful scientific arguments. However, data cultures also make many aspects of social life invisible, and elevate quantitative objective analysis over situated, subjective observation. This study finds that data cultures can empower communities when concerned citizens are equal contributors to research partnerships; ones that enable them to advocate for more nuanced data cultures permitting of structural critiques of status-quo environmental governance. These arguments are developed through an ethnographic study of participatory watershed monitoring projects that seek to document the impacts of shale gas extraction in Pennsylvania, New York, and West Virginia. Energy companies are drilling for natural gas using highly controversial methods of extraction known as hydraulic fracturing. Growing evidence suggests that nearby watersheds can be impacted by a myriad of extraction related problems including seepage from damaged gas well casing, improper waste disposal, trucking accidents, and the underground migration of hydraulic fracking fluids. In response to these risks, numerous organizations are coordinating and carrying out participatory water monitoring efforts. All of these projects embrace data culture in different ways. Each monitoring project has furthermore constructed its own unique infrastructure to support the sharing, aggregation, and analysis of environmental data. Differences in data culture investments and infrastructure building make some projects more effective than others in empowering affected communities. Four key aspects of these infrastructures are consequential to data culture formations and affordances: 1) the development of standardized monitoring protocols, 2) the politics of data collection technologies, 3) the frictions of database management systems, and 4) the power dynamics of organizational partnerships that come together around water monitoring efforts. Lessons from this analysis should inform future efforts to build infrastructures that address problems of environmental pollution in ways that also generate long-term capacity for empowering at-risk communities.

--No Title--

Science.gov Websites

interoperability emerging infrastructure for data management on computational grids Software Packages Services : ATLAS: Management and Steering: Computing Management Board Software Project Management Board Database Model Group Computing TDR: 4.5 Event Data 4.8 Database and Data Management Services 6.3.4 Production and

Pediatric Tuina for promoting growth and development of preterm infants: A protocol for the systematic review of randomized controlled trail.

PubMed

Zhang, Xinghe; Guo, Taipin; Zhu, Bowen; Gao, Qing; Wang, Hourong; Tai, Xiantao; Jing, Fujie

2018-05-01

Preterm infants are babies born alive before 37 weeks. Many survived infants concomitant with defects of growth and development, a lifetime of disability usually as following when insufficient intervention. In early intervention of preterm infants, pediatric Tuina shows good effect in many Chinese and some English clinical trials. This systematic review is aimed to evaluate the efficacy and safety of pediatric Tuina for promoting growth and development of preterm infants. The electronic databases of Cochrane Library, MEDLINE, EBASE, Web of Science, Springer, World Health Organization International Clinical Trials Registry Platform, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, Wan-fang database, Chinese Scientific Journal Database, and other databases will be searched from establishment to April 1, 2018. All published randomized controlled trials (RCTs) about this topic will be included. Two independent researchers will operate article retrieval, screening, quality evaluation, and data analyses by Review Manager (V.5.3.5). Meta-analyses, subgroup analysis, and/or descriptive analysis will be performed based on included data conditions. High-quality synthesis and/or descriptive analysis of current evidence will be provided from weight increase, motor development, neuropsychological development, length of stay, days of weight recovery to birthweight, days on supplemental oxygen, daily sleep duration, and side effects. This study will provide the evidence of whether pediatric Tuina is an effective early intervention for preterm infants. There is no requirement of ethical approval and informed consent, and it will be in print or published by electronic copies. This systematic review protocol has been registered in the PROSPERO network (No. CRD42018090563).

The integrated web service and genome database for agricultural plants with biotechnology information

PubMed Central

Kim, ChangKug; Park, DongSuk; Seol, YoungJoo; Hahn, JangHo

2011-01-01

The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a Web based relational database for agricultural plants with biotechnology information. The NABIC has concentrated on functional genomics of major agricultural plants, building an integrated biotechnology database for agro-biotech information that focuses on genomics of major agricultural resources. This genome database provides annotated genome information from 1,039,823 records mapped to rice, Arabidopsis, and Chinese cabbage. PMID:21887015

Enhancing Knowledge Integration: An Information System Capstone Project

ERIC Educational Resources Information Center

Steiger, David M.

2009-01-01

This database project focuses on learning through knowledge integration; i.e., sharing and applying specialized (database) knowledge within a group, and combining it with other business knowledge to create new knowledge. Specifically, the Tiny Tots, Inc. project described below requires students to design, build, and instantiate a database system…

A Database Approach for Predicting and Monitoring Baked Anode Properties

NASA Astrophysics Data System (ADS)

Lauzon-Gauthier, Julien; Duchesne, Carl; Tessier, Jayson

2012-11-01

The baked anode quality control strategy currently used by most carbon plants based on testing anode core samples in the laboratory is inadequate for facing increased raw material variability. The low core sampling rate limited by lab capacity and the common practice of reporting averaged properties based on some anode population mask a significant amount of individual anode variability. In addition, lab results are typically available a few weeks after production and the anodes are often already set in the reduction cells preventing early remedial actions when necessary. A database approach is proposed in this work to develop a soft-sensor for predicting individual baked anode properties at the end of baking cycle. A large historical database including raw material properties, process operating parameters and anode core data was collected from a modern Alcoa plant. A multivariate latent variable PLS regression method was used for analyzing the large database and building the soft-sensor model. It is shown that the general low frequency trends in most anode physical and mechanical properties driven by raw material changes are very well captured by the model. Improvements in the data infrastructure (instrumentation, sampling frequency and location) will be necessary for predicting higher frequency variations in individual baked anode properties. This paper also demonstrates how multivariate latent variable models can be interpreted against process knowledge and used for real-time process monitoring of carbon plants, and detection of faults and abnormal operation.

Traditional Chinese patent medicine for prophylactic treatment of migraine: a meta-analysis of randomized, double-blind, placebo-controlled trials.

PubMed

Xiao, Y; Yuan, L; Liu, Y; Sun, X; Cheng, J; Wang, T; Li, F; Luo, R; Zhao, X

2015-02-01

A large number of traditional Chinese patent medicines (TCPMs) are widely used to treat migraine in China. However, it is uncertain whether there is robust evidence on the effects of TCPMs for migraine. A meta-analysis of randomized, double-blind, placebo-controlled trials was performed to evaluate the efficacy and safety of TCPMs in patients with migraine. Comprehensive searches were conducted on the Medline database, Cochrane Library, the China National Knowledge Infrastructure database, the Chinese Biomedical Literature database and the Wanfang database up to December 2013. Summary estimates, including 95% confidence intervals (CIs), were calculated for frequency of migraine attacks, response rate and headache intensity. A total of seven trials including 582 participants with migraine met the selection criteria. TCPM was significantly more likely to reduce the frequency of migraine attacks compared with placebo (standardized mean difference -0.54; 95% CI -0.72, -0.36; P < 0.001). TCPM was associated with an improvement of response rate compared with placebo (summary relative risk 4.63, 95% CI 2.74, 7.80, P < 0.001; therapeutic gain 24.1%; number needed to treat 4.1). Headache intensity was attenuated by TCPM compared with placebo (standardized mean difference -1.33; 95% CI -1.79, -0.87; P < 0.001). The adverse events of TCPM were no different from those of placebo. TCPMs are effective and well tolerated in the prophylactic treatment of migraine. © 2014 EAN.

The efficacy of Jianpi Yiqi therapy for chronic atrophic gastritis: A systematic review and meta-analysis

PubMed Central

Dai, Yun-kai; Zhang, Yun-zhan; Li, Dan-yan; Ye, Jin-tong; Zeng, Ling-feng; Wang, Qi; Hu, Ling

2017-01-01

Jianpi Yiqi therapy (JYT) is a classical therapy in treating chronic atrophic gastritis (CAG), but the clinical effects of it are still contentious. The purpose of this article is to evaluate the efficacy and safety of JYT for CAG. Seven electronic databases including PubMed, Embase, Springer Link, CNKI (China National Knowledge Infrastructure), VIP (Chinese Scientific Journals Database), Wan-fang database, and CBM (Chinese Biomedicine Database) were searched from their inception to November 1, 2016. 13 randomized controlled trials (RCTs) with a total of 1119 participants were identified for analysis. Meta-analyses demonstrated that both JYT (RR 1.41; 95% CI 1.27, 1.57; P < 0.00001) and JYT + western medicine (RR 1.27; 95% CI 1.17, 1.38; P < 0.00001) were more efficacious than only western medicine. Furthermore, JYT had potential improvement on traditional Chinese medicine (TCM) symptoms scores such as stomachache, stomach distention, belching, fatigue, et al. In addition, no serious adverse events were reported in the selected trials. The Cochrane Collaboration’s risk of bias tool was evaluated for the weaknesses of methodological quality, while the quality level of Grades of Recommendations Assessment Development and Evaluation (GRADE) evidence classification indicated “Very low”. This meta-analysis indicates that JYT may have potential effects on the treatment of patients with CAG. However, due to limitations of methodological quality and small sample size of the included studies, further standardized research of rigorous design should be needed. PMID:28738092

Information technology and public health management of disasters--a model for South Asian countries.

PubMed

Mathew, Dolly

2005-01-01

This paper highlights the use of information technology (IT) in disaster management and public health management of disasters. Effective health response to disasters will depend on three important lines of action: (1) disaster preparedness; (2) emergency relief; and (3) management of disasters. This is facilitated by the presence of modern communication and space technology, especially the Internet and remote sensing satellites. This has made the use of databases, knowledge bases, geographic information systems (GIS), management information systems (MIS), information transfer, and online connectivity possible in the area of disaster management and medicine. This paper suggests a conceptual model called, "The Model for Public Health Management of Disasters for South Asia". This Model visualizes the use of IT in the public health management of disasters by setting up the Health and Disaster Information Network and Internet Community Centers, which will facilitate cooperation among all those in the areas of disaster management and emergency medicine. The suggested infrastructure would benefit the governments, non-government organizations, and institutions working in the areas of disaster and emergency medicine, professionals, the community, and all others associated with disaster management and emergency medicine. The creation of such an infrastructure will enable the rapid transfer of information, data, knowledge, and online connectivity from top officials to the grassroots organizations, and also among these countries regionally. This Model may be debated, modified, and tested further in the field to suit the national and local conditions. It is hoped that this exercise will result in a viable and practical model for use in public health management of disasters by South Asian countries.

Elements of an integrated health monitoring framework

NASA Astrophysics Data System (ADS)

Fraser, Michael; Elgamal, Ahmed; Conte, Joel P.; Masri, Sami; Fountain, Tony; Gupta, Amarnath; Trivedi, Mohan; El Zarki, Magda

2003-07-01

Internet technologies are increasingly facilitating real-time monitoring of Bridges and Highways. The advances in wireless communications for instance, are allowing practical deployments for large extended systems. Sensor data, including video signals, can be used for long-term condition assessment, traffic-load regulation, emergency response, and seismic safety applications. Computer-based automated signal-analysis algorithms routinely process the incoming data and determine anomalies based on pre-defined response thresholds and more involved signal analysis techniques. Upon authentication, appropriate action may be authorized for maintenance, early warning, and/or emergency response. In such a strategy, data from thousands of sensors can be analyzed with near real-time and long-term assessment and decision-making implications. Addressing the above, a flexible and scalable (e.g., for an entire Highway system, or portfolio of Networked Civil Infrastructure) software architecture/framework is being developed and implemented. This framework will network and integrate real-time heterogeneous sensor data, database and archiving systems, computer vision, data analysis and interpretation, physics-based numerical simulation of complex structural systems, visualization, reliability & risk analysis, and rational statistical decision-making procedures. Thus, within this framework, data is converted into information, information into knowledge, and knowledge into decision at the end of the pipeline. Such a decision-support system contributes to the vitality of our economy, as rehabilitation, renewal, replacement, and/or maintenance of this infrastructure are estimated to require expenditures in the Trillion-dollar range nationwide, including issues of Homeland security and natural disaster mitigation. A pilot website (http://bridge.ucsd.edu/compositedeck.html) currently depicts some basic elements of the envisioned integrated health monitoring analysis framework.

Landslide databases for applied landslide impact research: the example of the landslide database for the Federal Republic of Germany

NASA Astrophysics Data System (ADS)

Damm, Bodo; Klose, Martin

2014-05-01

This contribution presents an initiative to develop a national landslide database for the Federal Republic of Germany. It highlights structure and contents of the landslide database and outlines its major data sources and the strategy of information retrieval. Furthermore, the contribution exemplifies the database potentials in applied landslide impact research, including statistics of landslide damage, repair, and mitigation. The landslide database offers due to systematic regional data compilation a differentiated data pool of more than 5,000 data sets and over 13,000 single data files. It dates back to 1137 AD and covers landslide sites throughout Germany. In seven main data blocks, the landslide database stores besides information on landslide types, dimensions, and processes, additional data on soil and bedrock properties, geomorphometry, and climatic or other major triggering events. A peculiarity of this landslide database is its storage of data sets on land use effects, damage impacts, hazard mitigation, and landslide costs. Compilation of landslide data is based on a two-tier strategy of data collection. The first step of information retrieval includes systematic web content mining and exploration of online archives of emergency agencies, fire and police departments, and news organizations. Using web and RSS feeds and soon also a focused web crawler, this enables effective nationwide data collection for recent landslides. On the basis of this information, in-depth data mining is performed to deepen and diversify the data pool in key landslide areas. This enables to gather detailed landslide information from, amongst others, agency records, geotechnical reports, climate statistics, maps, and satellite imagery. Landslide data is extracted from these information sources using a mix of methods, including statistical techniques, imagery analysis, and qualitative text interpretation. The landslide database is currently migrated to a spatial database system running on PostgreSQL/PostGIS. This provides advanced functionality for spatial data analysis and forms the basis for future data provision and visualization using a WebGIS application. Analysis of landslide database contents shows that in most parts of Germany landslides primarily affect transportation infrastructures. Although with distinct lower frequency, recent landslides are also recorded to cause serious damage to hydraulic facilities and waterways, supply and disposal infrastructures, sites of cultural heritage, as well as forest, agricultural, and mining areas. The main types of landslide damage are failure of cut and fill slopes, destruction of retaining walls, street lights, and forest stocks, burial of roads, backyards, and garden areas, as well as crack formation in foundations, sewer lines, and building walls. Landslide repair and mitigation at transportation infrastructures is dominated by simple solutions such as catch barriers or rock fall drapery. These solutions are often undersized and fail under stress. The use of costly slope stabilization or protection systems is proven to reduce these risks effectively over longer maintenance cycles. The right balancing of landslide mitigation is thus a crucial problem in managing landslide risks. Development and analysis of such landslide databases helps to support decision-makers in finding efficient solutions to minimize landslide risks for human beings, infrastructures, and financial assets.

Web-based access to near real-time and archived high-density time-series data: cyber infrastructure challenges & developments in the open-source Waveform Server

NASA Astrophysics Data System (ADS)

Reyes, J. C.; Vernon, F. L.; Newman, R. L.; Steidl, J. H.

2010-12-01

The Waveform Server is an interactive web-based interface to multi-station, multi-sensor and multi-channel high-density time-series data stored in Center for Seismic Studies (CSS) 3.0 schema relational databases (Newman et al., 2009). In the last twelve months, based on expanded specifications and current user feedback, both the server-side infrastructure and client-side interface have been extensively rewritten. The Python Twisted server-side code-base has been fundamentally modified to now present waveform data stored in cluster-based databases using a multi-threaded architecture, in addition to supporting the pre-existing single database model. This allows interactive web-based access to high-density (broadband @ 40Hz to strong motion @ 200Hz) waveform data that can span multiple years; the common lifetime of broadband seismic networks. The client-side interface expands on it's use of simple JSON-based AJAX queries to now incorporate a variety of User Interface (UI) improvements including standardized calendars for defining time ranges, applying on-the-fly data calibration to display SI-unit data, and increased rendering speed. This presentation will outline the various cyber infrastructure challenges we have faced while developing this application, the use-cases currently in existence, and the limitations of web-based application development.

Data Base Design with GIS in Ecosystem Based Multiple Use Forest Management in Artvin, Turkey: A Case Study in Balcı Forest Management Planning Unit.

PubMed

Yolasığmaz, Hacı Ahmet; Keleş, Sedat

2009-01-01

In Turkey, the understanding of planning focused on timber production has given its place on Multiple Use Management (MUM). Because the whole infrastructure of forestry with inventory system leading the way depends on timber production, some cases of bottle neck are expected during the transition period. Database design, probably the most important stage during the transition to MUM, together with the digital basic maps making up the basis of this infrastructure constitute the main point of this article. Firstly, the forest management philosophy of Turkey in the past was shortly touched upon in the article. Ecosystem Based Multiple Use Forest Management (EBMUFM) approaches was briefly introduced. The second stage of the process of EBMUFM, database design was described by examining the classical planning infrastructure and the coverage to be produced and consumed were suggested in the form of lists. At the application stage, two different geographical databases were established with GIS in Balcı Planning Unit of the years 1984 and 2006. Following that the related basic maps are produced. Timely diversity of the planning unit of 20 years is put forward comparatively with regard to the stand parameters such as tree types, age class, development stage, canopy closure, mixture, volume and increment.

Building the Infrastructure of Resource Sharing: Union Catalogs, Distributed Search, and Cross-Database Linkage.

ERIC Educational Resources Information Center

Lynch, Clifford A.

1997-01-01

Union catalogs and distributed search systems are two ways users can locate materials in print and electronic formats. This article examines the advantages and limitations of both approaches and argues that they should be considered complementary rather than competitive. Discusses technologies creating linkage between catalogs and databases and…

Alternative Route Programs for Certification in Special Education: Program Infrastructure Instructional Delivery, and Participant Characteristics

ERIC Educational Resources Information Center

Rosenberg, Michael S.; Boyer, K. Lynn; Sindelar, Paul T.; Misra, Sunil K.

2007-01-01

This study describes special education alternative route (AR) teacher preparation programs. The authors developed a national database of programs and collected information on program sponsorship, length and intensity, features, and participant demographics. Most of the 235 programs in the database were in states that had significant shortages of…

Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase two, volume 4 : web-based bridge information database--visualization analytics and distributed sensing.

DOT National Transportation Integrated Search

2012-03-01

This report introduces the design and implementation of a Web-based bridge information visual analytics system. This : project integrates Internet, multiple databases, remote sensing, and other visualization technologies. The result : combines a GIS ...

49 CFR 800.2 - Organization.

Code of Federal Regulations, 2013 CFR

2013-10-01

... Administrator in refusing to issue airman certificates. (e) The Office of Aviation Safety, which conducts... Board's information technology infrastructure, including computer systems, networks, databases, and...

49 CFR 800.2 - Organization.

Code of Federal Regulations, 2011 CFR

2011-10-01

... Administrator in refusing to issue airman certificates. (e) The Office of Aviation Safety, which conducts... Board's information technology infrastructure, including computer systems, networks, databases, and...

49 CFR 800.2 - Organization.

Code of Federal Regulations, 2012 CFR

2012-10-01

... Administrator in refusing to issue airman certificates. (e) The Office of Aviation Safety, which conducts... Board's information technology infrastructure, including computer systems, networks, databases, and...

Knowledge Discovery in Databases.

ERIC Educational Resources Information Center

Norton, M. Jay

1999-01-01

Knowledge discovery in databases (KDD) revolves around the investigation and creation of knowledge, processes, algorithms, and mechanisms for retrieving knowledge from data collections. The article is an introductory overview of KDD. The rationale and environment of its development and applications are discussed. Issues related to database design…

PACE: Proactively Secure Accumulo with Cryptographic Enforcement

DTIC Science & Technology

2017-05-27

Abstract—Cloud-hosted databases have many compelling ben- efits, including high availability , flexible resource allocation, and resiliency to attack...infrastructure to the cloud. This move is motivated by the cloud’s increased availability , flexibility, and resilience [1]. Most importantly, the cloud enables...a level of availability and performance that would be impossible for many companies to achieve using their own infrastructure. For example, using a

Future Naval Use of COTS Networking Infrastructure

DTIC Science & Technology

2009-07-01

user to benefit from Google’s vast databases and computational resources. Obviously, the ability to harness the full power of the Cloud could be... Computing Impact Findings Action Items Take-Aways Appendices: Pages 54-68 A. Terms of Reference Document B. Sample Definitions of Cloud ...and definition of Cloud Computing . While Cloud Computing is developing in many variations – including Infrastructure as a Service (IaaS), Platform as

Maritime Situational Awareness Research Infrastructure (MSARI): Requirements and High Level Design

DTIC Science & Technology

2013-03-01

Exchange Model (NIEM)-Maritime [16], • Rapid Environmental Assessment (REA) database [17], • 2009 United States AIS Database 3, • PASTA -MARE project...upper/lower cases, plural, etc.) is very consistent and is pertinent for MSARI. The 2009 United States AIS and PASTA -MARE project databases, exclusively...designed for AIS, were found too restrictive for MSARI where other types of data are stored. How- ever, some lessons learned of the PASTA -MARE

An Analysis of the Development of Auricular Acupuncture in China in the Past 10 Years.

PubMed

Zhao, Baixiao; Meng, Xiaonan; Sun, Jie

2018-06-01

Objective: The aim of this research was to analyze recent developments of auricular acupuncture in China during the past 10 years, from 2007 to 2016. Methods: The articles evaluated related to auricular acupuncture studies published in the last 10 years, from 2007 to 2016. The articles were retrieved from the China National Knowledge Infrastructure (CNKI) full-text journal database and from Tsinghua Tongfang, the Chinese Knowledge net. The history of auricular acupuncture, the overall status of the research, and the current use of standardization were analyzed and summarized. Results: The literature research of auricular acupuncture in China revealed that there was a high frequency of publications over the last 10 years. Conclusions: Development of more auricular acupuncture research teams, improvement of the level and quality of the research, and basic and clinical research investigations on auricular acupuncture in China have demonstrated continuous improvement in the past 10 years. It is hoped that this research will continue into the future, offering greater contributions to the development of auricular acupuncture for the health care of human beings.

GraQL: A Query Language for High-Performance Attributed Graph Databases

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

Chavarría-Miranda, Daniel; Castellana, Vito G.; Morari, Alessandro

Graph databases have gained increasing interest in the last few years due to the emergence of data sources which are not easily analyzable in traditional relational models or for which a graph data model is the natural representation. In order to understand the design and implementation choices for an attributed graph database backend and query language, we have started to design our infrastructure for attributed graph databases. In this paper, we describe the design considerations of our in-memory attributed graph database system with a particular focus on the data definition and query language components.

MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB

PubMed Central

Cockfield, Jeremy; Su, Kyungmin; Robbins, Kay A.

2013-01-01

Experiments to monitor human brain activity during active behavior record a variety of modalities (e.g., EEG, eye tracking, motion capture, respiration monitoring) and capture a complex environmental context leading to large, event-rich time series datasets. The considerable variability of responses within and among subjects in more realistic behavioral scenarios requires experiments to assess many more subjects over longer periods of time. This explosion of data requires better computational infrastructure to more systematically explore and process these collections. MOBBED is a lightweight, easy-to-use, extensible toolkit that allows users to incorporate a computational database into their normal MATLAB workflow. Although capable of storing quite general types of annotated data, MOBBED is particularly oriented to multichannel time series such as EEG that have event streams overlaid with sensor data. MOBBED directly supports access to individual events, data frames, and time-stamped feature vectors, allowing users to ask questions such as what types of events or features co-occur under various experimental conditions. A database provides several advantages not available to users who process one dataset at a time from the local file system. In addition to archiving primary data in a central place to save space and avoid inconsistencies, such a database allows users to manage, search, and retrieve events across multiple datasets without reading the entire dataset. The database also provides infrastructure for handling more complex event patterns that include environmental and contextual conditions. The database can also be used as a cache for expensive intermediate results that are reused in such activities as cross-validation of machine learning algorithms. MOBBED is implemented over PostgreSQL, a widely used open source database, and is freely available under the GNU general public license at http://visual.cs.utsa.edu/mobbed. Source and issue reports for MOBBED are maintained at http://vislab.github.com/MobbedMatlab/ PMID:24124417

MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB.

PubMed

Cockfield, Jeremy; Su, Kyungmin; Robbins, Kay A

2013-01-01

Experiments to monitor human brain activity during active behavior record a variety of modalities (e.g., EEG, eye tracking, motion capture, respiration monitoring) and capture a complex environmental context leading to large, event-rich time series datasets. The considerable variability of responses within and among subjects in more realistic behavioral scenarios requires experiments to assess many more subjects over longer periods of time. This explosion of data requires better computational infrastructure to more systematically explore and process these collections. MOBBED is a lightweight, easy-to-use, extensible toolkit that allows users to incorporate a computational database into their normal MATLAB workflow. Although capable of storing quite general types of annotated data, MOBBED is particularly oriented to multichannel time series such as EEG that have event streams overlaid with sensor data. MOBBED directly supports access to individual events, data frames, and time-stamped feature vectors, allowing users to ask questions such as what types of events or features co-occur under various experimental conditions. A database provides several advantages not available to users who process one dataset at a time from the local file system. In addition to archiving primary data in a central place to save space and avoid inconsistencies, such a database allows users to manage, search, and retrieve events across multiple datasets without reading the entire dataset. The database also provides infrastructure for handling more complex event patterns that include environmental and contextual conditions. The database can also be used as a cache for expensive intermediate results that are reused in such activities as cross-validation of machine learning algorithms. MOBBED is implemented over PostgreSQL, a widely used open source database, and is freely available under the GNU general public license at http://visual.cs.utsa.edu/mobbed. Source and issue reports for MOBBED are maintained at http://vislab.github.com/MobbedMatlab/

A new methodology for modeling of direct landslide costs for transportation infrastructures

NASA Astrophysics Data System (ADS)

Klose, Martin; Terhorst, Birgit

2014-05-01

The world's transportation infrastructure is at risk of landslides in many areas across the globe. A safe and affordable operation of traffic routes are the two main criteria for transportation planning in landslide-prone areas. The right balancing of these often conflicting priorities requires, amongst others, profound knowledge of the direct costs of landslide damage. These costs include capital investments for landslide repair and mitigation as well as operational expenditures for first response and maintenance works. This contribution presents a new methodology for ex post assessment of direct landslide costs for transportation infrastructures. The methodology includes tools to compile, model, and extrapolate landslide losses on different spatial scales over time. A landslide susceptibility model enables regional cost extrapolation by means of a cost figure obtained from local cost compilation for representative case study areas. On local level, cost survey is closely linked with cost modeling, a toolset for cost estimation based on landslide databases. Cost modeling uses Landslide Disaster Management Process Models (LDMMs) and cost modules to simulate and monetize cost factors for certain types of landslide damage. The landslide susceptibility model provides a regional exposure index and updates the cost figure to a cost index which describes the costs per km of traffic route at risk of landslides. Both indexes enable the regionalization of local landslide losses. The methodology is applied and tested in a cost assessment for highways in the Lower Saxon Uplands, NW Germany, in the period 1980 to 2010. The basis of this research is a regional subset of a landslide database for the Federal Republic of Germany. In the 7,000 km² large Lower Saxon Uplands, 77 km of highway are located in potential landslide hazard area. Annual average costs of 52k per km of highway at risk of landslides are identified as cost index for a local case study area in this region. The cost extrapolation for the Lower Saxon Uplands results in annual average costs for highways of 4.02mn. This test application as well as a validation of selected modeling tools verifies the functionality of this methodology.

The National Mechatronic Platform. The basis of the educational programs in the knowledge society

NASA Astrophysics Data System (ADS)

Maties, V.

2016-08-01

The shift from the information society to the knowledge based society caused by the mechatronic revolution, that took place in the 9th decade of the last century, launched a lot of challenges for education and researches activities too. Knowledge production development asks for new educational technologies to stimulate the initiative and creativity as a base to increase the productivity in the knowledge production. The paper presents details related on the innovative potential of mechatronics as educational environment for transdisciplinarity learning and integral education. The basic infrastructure of that environment is based on mechatronic platforms. In order to develop the knowledge production at the national level the specific structures are to be developed. The paper presents details related on the structure of the National Mechatronic Platform as a true knowledge factory. The benefits of the effort to develop the specific infrastructure for knowledge production in the field of mechatronics are outlined too.

Increasing Coverage of Hepatitis B Vaccination in China

PubMed Central

Wang, Shengnan; Smith, Helen; Peng, Zhuoxin; Xu, Biao; Wang, Weibing

2016-01-01

Abstract This study used a system evaluation method to summarize China's experience on improving the coverage of hepatitis B vaccine, especially the strategies employed to improve the uptake of timely birth dosage. Identifying successful methods and strategies will provide strong evidence for policy makers and health workers in other countries with high hepatitis B prevalence. We conducted a literature review included English or Chinese literature carried out in mainland China, using PubMed, the Cochrane databases, Web of Knowledge, China National Knowledge Infrastructure, Wanfang data, and other relevant databases. Nineteen articles about the effectiveness and impact of interventions on improving the coverage of hepatitis B vaccine were included. Strong or moderate evidence showed that reinforcing health education, training and supervision, providing subsidies for facility birth, strengthening the coordination among health care providers, and using out-of-cold-chain storage for vaccines were all important to improving vaccination coverage. We found evidence that community education was the most commonly used intervention, and out-reach programs such as out-of-cold chain strategy were more effective in increasing the coverage of vaccination in remote areas where the facility birth rate was respectively low. The essential impact factors were found to be strong government commitment and the cooperation of the different government departments. Public interventions relying on basic health care systems combined with outreach care services were critical elements in improving the hepatitis B vaccination rate in China. This success could not have occurred without exceptional national commitment. PMID:27175710

Increasing Coverage of Hepatitis B Vaccination in China: A Systematic Review of Interventions and Implementation Experiences.

PubMed

Wang, Shengnan; Smith, Helen; Peng, Zhuoxin; Xu, Biao; Wang, Weibing

2016-05-01

This study used a system evaluation method to summarize China's experience on improving the coverage of hepatitis B vaccine, especially the strategies employed to improve the uptake of timely birth dosage. Identifying successful methods and strategies will provide strong evidence for policy makers and health workers in other countries with high hepatitis B prevalence.We conducted a literature review included English or Chinese literature carried out in mainland China, using PubMed, the Cochrane databases, Web of Knowledge, China National Knowledge Infrastructure, Wanfang data, and other relevant databases.Nineteen articles about the effectiveness and impact of interventions on improving the coverage of hepatitis B vaccine were included. Strong or moderate evidence showed that reinforcing health education, training and supervision, providing subsidies for facility birth, strengthening the coordination among health care providers, and using out-of-cold-chain storage for vaccines were all important to improving vaccination coverage.We found evidence that community education was the most commonly used intervention, and out-reach programs such as out-of-cold chain strategy were more effective in increasing the coverage of vaccination in remote areas where the facility birth rate was respectively low. The essential impact factors were found to be strong government commitment and the cooperation of the different government departments.Public interventions relying on basic health care systems combined with outreach care services were critical elements in improving the hepatitis B vaccination rate in China. This success could not have occurred without exceptional national commitment.

Sex differences in acupuncture effectiveness in animal models of Parkinson's disease: a systematic review.

PubMed

Lee, Sook-Hyun; van den Noort, Maurits; Bosch, Peggy; Lim, Sabina

2016-11-03

Many animal experimental studies have been performed to investigate the efficacy of acupuncture in Parkinson's disease (PD). Sex differences are a major issue in all diseases including PD. However, to our knowledge, there have been no reviews investigating sex differences on the effectiveness of acupuncture treatment for animal PD models. The current study aimed to summarize and analyze past studies in order to evaluate these possible differences. Each of 7 databases (MEDLINE, EMBASE, the Cochrane Library, 3 Korean medical databases, and the China National Knowledge Infrastructure) was searched from its inception through March 2015 without language restrictions. We included studies of the use of acupuncture treatment in animal models of PD. A total of 810 potentially relevant articles were identified, 57 of which met our inclusion criteria. C57/BL6 mice were used most frequently (42 %) in animal PD models. Most of the studies were carried out using only male animals (67 %); only 1 study (2 %) was performed using solely females. The further 31 % of the studies used a male/female mix or did not specify the sex. The results of our review suggest that acupuncture is an effective treatment for animal PD models, but there is insufficient evidence to determine whether sex differences exist. Future studies of acupuncture treatment for PD should use female animal models because they reflect the physiological characteristics of both males and females to fully evaluate the effect and the safety of the treatment for each sex.

Methological quality of systematic reviews and meta-analyses on acupuncture for stroke: A review of review.

PubMed

Chen, Xin-Lin; Mo, Chuan-Wei; Lu, Li-Ya; Gao, Ri-Yang; Xu, Qian; Wu, Min-Feng; Zhou, Qian-Yi; Hu, Yue; Zhou, Xuan; Li, Xian-Tao

2017-11-01

To assess the methodological quality of systematic reviews and meta-analyses regarding acupuncture intervention for stroke and the primary studies within them. Two researchers searched PubMed, Cumulative index to Nursing and Allied Health Literature, Embase, ISI Web of Knowledge, Cochrane, Allied and Complementary Medicine, Ovid Medline, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Wanfang and Traditional Chinese Medical Database to identify systematic reviews and meta-analyses about acupuncture for stroke published from the inception to December 2016. Review characteristics and the criteria for assessing the primary studies within reviews were extracted. The methodological quality of the reviews was assessed using adapted Oxman and Guyatt Scale. The methodological quality of primary studies was also assessed. Thirty-two eligible reviews were identified, 15 in English and 17 in Chinese. The English reviews were scored higher than the Chinese reviews (P=0.025), especially in criteria for avoiding bias and the scope of search. All reviews used the quality criteria to evaluate the methodological quality of primary studies, but some criteria were not comprehensive. The primary studies, in particular the Chinese reviews, had problems with randomization, allocation concealment, blinding, dropouts and withdrawals, intent-to-treat analysis and adverse events. Important methodological flaws were found in Chinese systematic reviews and primary studies. It was necessary to improve the methodological quality and reporting quality of both the systematic reviews published in China and primary studies on acupuncture for stroke.

Users as essential contributors to spatial cyberinfrastructures

PubMed Central

Poore, Barbara S.

2011-01-01

Current accounts of spatial cyberinfrastructure development tend to overemphasize technologies to the neglect of critical social and cultural issues on which adoption depends. Spatial cyberinfrastructures will have a higher chance of success if users of many types, including nonprofessionals, are made central to the development process. Recent studies in the history of infrastructures reveal key turning points and issues that should be considered in the development of spatial cyberinfrastructure projects. These studies highlight the importance of adopting qualitative research methods to learn how users work with data and digital tools, and how user communities form. The author's empirical research on data sharing networks in the Pacific Northwest salmon crisis at the turn of the 21st century demonstrates that ordinary citizens can contribute critical local knowledge to global databases and should be considered in the design and construction of spatial cyberinfrastructures. PMID:21444825

The TWINS Science Data System after the launch of TWINS 1

NASA Astrophysics Data System (ADS)

Goldstein, J.; Valek, P.; Skoug, R.; Delapp, D.; Redfern, J.; Carruth, B.; McComas, D.

2007-05-01

The Two Wide-angle Imaging Neutral-atom Spectrometers (TWINS) 1 satellite is in orbit and science data are expected to commence in the near future. TWINS-1 comprises half of the TWINS stereoscopic neutral atom imaging system that will advance our knowledge of the Earth's ring current. To support the expected data return, we have developed a Science Data System (SDS) for the TWINS mission. The TWINS SDS is an IDL- and Java- driven data interface that operates primarily via a web browser, and has as its spine an SQL-queryable database. Through this interface, TWINS science data will be provided to the TWINS team, the space science community, and the public. In this paper we present the current and future capabilities of the TWINS SDS, as well as how the SDS fits into virtual observatory infrastructure.

Integrated System Health Management (ISHM) Implementation in Rocket Engine Testing

NASA Technical Reports Server (NTRS)

Figueroa, Fernando; Morris, Jon; Turowski, Mark; Franzl, Richard; Walker, Mark; Kapadia, Ravi; Venkatesh, Meera

2010-01-01

A pilot operational ISHM capability has been implemented for the E-2 Rocket Engine Test Stand (RETS) and a Chemical Steam Generator (CSG) test article at NASA Stennis Space Center. The implementation currently includes an ISHM computer and a large display in the control room. The paper will address the overall approach, tools, and requirements. It will also address the infrastructure and architecture. Specific anomaly detection algorithms will be discussed regarding leak detection and diagnostics, valve validation, and sensor validation. It will also describe development and use of a Health Assessment Database System (HADS) as a repository for measurements, health, configuration, and knowledge related to a system with ISHM capability. It will conclude with a discussion of user interfaces, and a description of the operation of the ISHM system prior, during, and after testing.

The role of elastic fibers in pathogenesis of conjunctivochalasis

PubMed Central

Gan, Jing-Yun; Li, Qing-Song; Zhang, Zhen-Yong; Zhang, Wei; Zhang, Xing-Ru

2017-01-01

The PubMed, MEDLINE databases and China National Knowledge Infrastructure (CNKI) were searched for information regarding the etiology and pathogenesis of conjunctivochalasis (CCh) and the synthesis and degradation of elastic fibers. After analysis of the literature, we found elastic fibers was a complex protein molecule from the structure and composition; the degradation of elastic fibers was one of the histopathological features of the disease; the vast majority of the factors related to the pathogenesis of CCh ultimately pointed to abnormal elastic fibers. By reasonably speculating, we considered that abnormal elastic fibers cause the conjunctival relaxation. In conclusion, we hypothesize that elastic fibers play an important role in the pathogenesis of CCh. Studies on the mechanism of synthesis, degradation of elastic fibers are helpful to clarify the pathogenesis of the disease and to find effective treatment methods. PMID:28944209

Users as essential contributors to spatial cyberinfrastructures.

PubMed

Poore, Barbara S

2011-04-05

Current accounts of spatial cyberinfrastructure development tend to overemphasize technologies to the neglect of critical social and cultural issues on which adoption depends. Spatial cyberinfrastructures will have a higher chance of success if users of many types, including nonprofessionals, are made central to the development process. Recent studies in the history of infrastructures reveal key turning points and issues that should be considered in the development of spatial cyberinfrastructure projects. These studies highlight the importance of adopting qualitative research methods to learn how users work with data and digital tools, and how user communities form. The author's empirical research on data sharing networks in the Pacific Northwest salmon crisis at the turn of the 21st century demonstrates that ordinary citizens can contribute critical local knowledge to global databases and should be considered in the design and construction of spatial cyberinfrastructures.

Users as essential contributors to spatial cyberinfrastructures

USGS Publications Warehouse

Poore, B.S.

2011-01-01

Current accounts of spatial cyberinfrastructure development tend to overemphasize technologies to the neglect of critical social and cultural issues on which adoption depends. Spatial cyberinfrastructures will have a higher chance of success if users of many types, including nonprofessionals, are made central to the development process. Recent studies in the history of infrastructures reveal key turning points and issues that should be considered in the development of spatial cyberinfrastructure projects. These studies highlight the importance of adopting qualitative research methods to learn how users work with data and digital tools, and how user communities form. The author's empirical research on data sharing networks in the Pacific Northwest salmon crisis at the turn of the 21st century demonstrates that ordinary citizens can contribute critical local knowledge to global databases and should be considered in the design and construction of spatial cyberinfrastructures.

Natural Assurance Scheme: A level playing field framework for Green-Grey infrastructure development.

PubMed

Denjean, Benjamin; Altamirano, Mónica A; Graveline, Nina; Giordano, Raffaele; van der Keur, Peter; Moncoulon, David; Weinberg, Josh; Máñez Costa, María; Kozinc, Zdravko; Mulligan, Mark; Pengal, Polona; Matthews, John; van Cauwenbergh, Nora; López Gunn, Elena; Bresch, David N

2017-11-01

This paper proposes a conceptual framework to systematize the use of Nature-based solutions (NBS) by integrating their resilience potential into Natural Assurance Scheme (NAS), focusing on insurance value as corner stone for both awareness-raising and valuation. As such one of its core goal is to align research and pilot projects with infrastructure development constraints and priorities. Under NAS, the integrated contribution of natural infrastructure to Disaster Risk Reduction is valued in the context of an identified growing need for climate robust infrastructure. The potential of NAS benefits and trade-off are explored by through the alternative lens of Disaster Resilience Enhancement (DRE). Such a system requires a joint effort of specific knowledge transfer from research groups and stakeholders to potential future NAS developers and investors. We therefore match the knowledge gaps with operational stages of the development of NAS from a project designer perspective. We start by highlighting the key role of the insurance industry in incentivizing and assessing disaster and slow onset resilience enhancement strategies. In parallel we place the public sector as potential kick-starters in DRE initiatives through the existing initiatives and constraints of infrastructure procurement. Under this perspective the paper explores the required alignment of Integrated Water resources planning and Public investment systems. Ultimately this will provide the possibility for both planners and investors to design no regret NBS and mixed Grey-Green infrastructures systems. As resources and constraints are widely different between infrastructure development contexts, the framework does not provide explicit methodological choices but presents current limits of knowledge and know-how. In conclusion the paper underlines the potential of NAS to ease the infrastructure gap in water globally by stressing the advantages of investment in the protection, enhancement and restoration of natural capital as an effective climate change adaptation investment. Copyright © 2017. Published by Elsevier Inc.

Integrating biodiversity distribution knowledge: toward a global map of life.

PubMed

Jetz, Walter; McPherson, Jana M; Guralnick, Robert P

2012-03-01

Global knowledge about the spatial distribution of species is orders of magnitude coarser in resolution than other geographically-structured environmental datasets such as topography or land cover. Yet such knowledge is crucial in deciphering ecological and evolutionary processes and in managing global change. In this review, we propose a conceptual and cyber-infrastructure framework for refining species distributional knowledge that is novel in its ability to mobilize and integrate diverse types of data such that their collective strengths overcome individual weaknesses. The ultimate aim is a public, online, quality-vetted 'Map of Life' that for every species integrates and visualizes available distributional knowledge, while also facilitating user feedback and dynamic biodiversity analyses. First milestones toward such an infrastructure have now been implemented. Copyright © 2011 Elsevier Ltd. All rights reserved.

Traditional Chinese and western medicine for the prevention of deep venous thrombosis after lower extremity orthopedic surgery: a meta-analysis of randomized controlled trials.

PubMed

Zhu, Shibai; Song, Yi; Chen, Xi; Qian, Wenwei

2018-04-10

Chinese herbal medicine has traditionally been considered to promote blood circulation to remove obstruction in the channels and clear pathogenic heat to drain dampness effects. We conducted this meta-analysis to evaluate its benefits for the prevention of deep venous thrombosis (DVT) after lower extremity orthopedic surgery. Relevant, published studies were identified using the following keywords: lower extremity orthopedic surgery, arthroplasty, joint replacement, fracture, traditional Chinese and western medicine, Chinese herbal medicine, deep venous thrombosis (DVT), and Venous thromboembolism (VTE). The following databases were used to identify the literature consisting of RCTs with a date of search of 31 May 2017: PubMed, Cochrane Library, Web of knowledge, the Chinese National Knowledge Infrastructure Database, the Chongqing VIP Database, the Chinese Biomedical Database, and the Wanfang Database (including three English and four Chinese databases). All relevant data were collected from studies meeting the inclusion criteria. The outcome variables were the incidence rate of DVT, activated partial thromboplastin time (APTT), prothrombin time (PT), and D-dimer; subcutaneous hematoma; and other reported outcomes. RevMan5.2. software was adopted for the meta-analysis. A total of 20 published studies (1862 cases) met the inclusion criteria. The experimental group, 910 patients (48.87%), received the Chinese herbal medicine or traditional Chinese and western medicine for prevention of DVT; the control group, 952 patients (51.13%), received the standard western treatment. The meta-analysis showed that traditional Chinese and western medicine therapy reduced the incidence rates of DVT significantly when compared with controls (risk ratio [RR] = 0.40; 95% CI, 0.30 to 0.54; P < 0.00001), and the D-dimer was lower in the experimental group (P = 0.01). Besides, the incidence rate of subcutaneous hematoma was lower in the experimental group (P < 0.0001). However, no significant difference was found in the PT (P = 0.98) and APTT (P = 0.75) in two groups. No serious adverse events were reported. Traditional Chinese and western medicine therapy may be a safe, effective prevention modality for DVT after lower extremity orthopedic surgery. Further rigorously designed, randomized trials are warranted.

Building the national health information infrastructure for personal health, health care services, public health, and research

PubMed Central

Detmer, Don E

2003-01-01

Background Improving health in our nation requires strengthening four major domains of the health care system: personal health management, health care delivery, public health, and health-related research. Many avoidable shortcomings in the health sector that result in poor quality are due to inaccessible data, information, and knowledge. A national health information infrastructure (NHII) offers the connectivity and knowledge management essential to correct these shortcomings. Better health and a better health system are within our reach. Discussion A national health information infrastructure for the United States should address the needs of personal health management, health care delivery, public health, and research. It should also address relevant global dimensions (e.g., standards for sharing data and knowledge across national boundaries). The public and private sectors will need to collaborate to build a robust national health information infrastructure, essentially a 'paperless' health care system, for the United States. The federal government should assume leadership for assuring a national health information infrastructure as recommended by the National Committee on Vital and Health Statistics and the President's Information Technology Advisory Committee. Progress is needed in the areas of funding, incentives, standards, and continued refinement of a privacy (i.e., confidentiality and security) framework to facilitate personal identification for health purposes. Particular attention should be paid to NHII leadership and change management challenges. Summary A national health information infrastructure is a necessary step for improved health in the U.S. It will require a concerted, collaborative effort by both public and private sectors. If you cannot measure it, you cannot improve it. Lord Kelvin PMID:12525262

Geoinformatics: Transforming data to knowledge for geosciences

USGS Publications Warehouse

Sinha, A.K.; Malik, Z.; Rezgui, A.; Barnes, C.G.; Lin, K.; Heiken, G.; Thomas, W.A.; Gundersen, L.C.; Raskin, R.; Jackson, I.; Fox, P.; McGuinness, D.; Seber, D.; Zimmerman, H.

2010-01-01

An integrative view of Earth as a system, based on multidisciplinary data, has become one of the most compelling reasons for research and education in the geosciences. It is now necessary to establish a modern infrastructure that can support the transformation of data to knowledge. Such an information infrastructure for geosciences is contained within the emerging science of geoinformatics, which seeks to promote the utilizetion and integration of complex, multidisciplinary data in seeking solutions to geosciencebased societal challenges.

Role playing games: a methodology to acquire knowledge for integrated wastewater infrastructures management in a river basin scale.

PubMed

Prat, P; Aulinas, M; Turon, C; Comas, J; Poch, M

2009-01-01

Current management of sanitation infrastructures (sewer systems, wastewater treatment plant, receiving water, bypasses, deposits, etc) is not fulfilling the objectives of up to date legislation, to achieve a good ecological and chemical status of water bodies through integrated management. These made it necessary to develop new methodologies that help decision makers to improve the management in order to achieve that status. Decision Support Systems (DSS) based on Multi-Agent System (MAS) paradigm are promising tools to improve the integrated management. When all the different agents involved interact, new important knowledge emerges. This knowledge can be used to build better DSS and improve wastewater infrastructures management achieving the objectives planned by legislation. The paper describes a methodology to acquire this knowledge through a Role Playing Game (RPG). First of all there is an introduction about the wastewater problems, a definition of RPG, and the relation between RPG and MAS. Then it is explained how the RPG was built with two examples of game sessions and results. The paper finishes with a discussion about the uses of this methodology and future work.

Outcomes of an investment in administrative data infrastructure: An example of capacity building at the Manitoba Centre for Health Policy.

PubMed

Orr, Justine; Smith, Mark; Burchill, Charles; Katz, Alan; Fransoo, Randy

2016-12-27

Using the Manitoba Centre for Health Policy as an example, this commentary discusses how even small investments in population health data can create a multitude of research benefits. The authors highlight that through infrastructure development such as acquiring databases, facilitating access to data and developing data management practices, new, innovative research can be achieved at relatively low cost.

A framework to evaluate the effects of small area variations in healthcare infrastructure on diagnostics and patient outcomes of rare diseases based on administrative data.

PubMed

Stargardt, Tom; Schreyögg, Jonas

2012-05-01

Small area variations in healthcare infrastructure may result in differences in early detection and outcomes for patients with rare diseases. It is our aim to provide a framework for evaluating small area variations in healthcare infrastructure on the diagnostics and health outcomes of rare diseases. We focus on administrative data as it allows (a) for relatively large sample sizes even though the prevalence of rare diseases is very low, and (b) makes it possible to link information on healthcare infrastructure to morbidity, mortality, and utilization. For identifying patients with a rare disease in a database, a combination of different classification systems has to be used due to usually multiple diseases sharing one ICD code. Outcomes should be chosen that are (a) appropriate for the disease, (b) identifiable and reliably coded in the administrative database, and (c) observable during the limited time period of the follow-up. Risk adjustment using summary scores of disease-specific or comprehensive risk adjustment instruments might be preferable over empirical weights because of the lower number of variables needed. The proposed framework will help to identify differences in time to diagnosis and treatment outcomes across areas in the context of rare diseases. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Geologic map of Oldonyo Lengai (Oldoinyo Lengai) Volcano and surroundings, Arusha Region, United Republic of Tanzania

USGS Publications Warehouse

Sherrod, David R.; Magigita, Masota M.; Kwelwa, Shimba

2013-01-01

The geology of Oldonyo Lengai volcano and the southernmost Lake Natron basin, Tanzania, is presented on this geologic map at scale 1:50,000. The map sheet can be downloaded in pdf format for online viewing or ready to print (48 inches by 36 inches). A 65-page explanatory pamphlet describes the geologic history of the area. Its goal is to place the new findings into the framework of previous investigations while highlighting gaps in knowledge. In this way questions are raised and challenges proposed to future workers. The southernmost Lake Natron basin is located along the East African rift zone in northern Tanzania. Exposed strata provide a history of volcanism, sedimentation, and faulting that spans 2 million years. It is here where Oldonyo Lengai, Tanzania’s most active volcano of the past several thousand years, built its edifice. Six new radiometric ages, by the 40Ar/39Ar method, and 48 new geochemical analyses from Oldonyo Lengai and surrounding volcanic features deepen our understanding of the area. Those who prefer the convenience and access offered by Geographic Information Systems (GIS) may download an electronic database, suitable for most GIS software applications. The GIS database is in a Transverse Mercator projection, zone 36, New (1960) Arc datum. The database includes layers for hypsography (topography), hydrography, and infrastructure such as roads and trails.

The effectiveness of evidence-based nursing on development of nursing students' critical thinking: A meta-analysis.

PubMed

Cui, Chuyun; Li, Yufeng; Geng, Dongrong; Zhang, Hui; Jin, Changde

2018-06-01

The aim of this meta-analysis was to assess the effectiveness of evidence-based nursing (EBN) on the development of critical thinking for nursing students. A systematic literature review of original studies on randomized controlled trials was conducted. The relevant randomized controlled trials were retrieved from multiple electronic databases including Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, EMBASE, Web of Science, Cumulative Index to Nursing and Allied Health (CINAHL), Chinese BioMed Database (CBM), China National Knowledge Infrastructure (CNKI), and WanFang Database. In order to make a systematic evaluation, studies were selected according to inclusion and exclusion criteria, and then according to extracted data and assessed quality. The data extraction was completed by two independent reviewers, and the methodological quality assessment was completed by another two reviewers. All of the data was analyzed by the software RevMan5.3. A total of nine studies with 1079 nursing students were chosen in this systematic literature review. The result of this meta-analysis showed that the effectiveness of evidence-based nursing was superior to that of traditional teaching on nursing students' critical thinking. The results of this meta-analysis indicate that evidence-based nursing could help nursing students to promote their development of critical thinking. More researches with higher quality and larger sample size can be analyzed in the further. Copyright © 2018. Published by Elsevier Ltd.

The Clinical Efficacy of Yindanxinnaotong Soft Capsule in the Treatment of Stroke and Angina Pectoris: A Meta-Analysis

PubMed Central

Liu, Yue

2017-01-01

Objective. To systematically evaluate the clinical efficacy of Yindanxinnaotong (YD) soft capsule in adult patients with cardiovascular diseases (stroke and angina pectoris). Methods. We electronically searched databases including Medline, PubMed, Chinese National Knowledge Infrastructure (CNKI), Cqvip Database (VIP), and Wanfang Database for published articles of randomized controlled trials (RCTs) of YD capsule in treating stroke and angina pectoris. The meta-analysis was performed using RevMan 5.3 software. Results. 49 RCTs involving 6195 subjects with cardiovascular diseases (angina pectoris and stroke) were included. Compared with western conventional medicine (WCM) and/or other Chinese medicines, YD plus WCM therapeutic regimen could significantly improve the efficacy rate (RR = 1.21, 95% CI (1.17, 1.25), P < 0.00001 for angina pectoris, RR = 1.24, 95% CI (1.18, 1.31), P < 0.00001 for stroke), showing the clinical value. In addition, the therapeutic efficiency of WCM plus YD capsule regimen is better than that of WCM alone in improving CRP (MD = −2.07, 95% CI (−3.97, −0.17), P = 0.03 <0.05) and TG (MD = −0.37, 95% CI (−0.52, −0.23), P < 0.0001). Conclusion. YD is effective in the treatment of cardiovascular diseases (angina pectoris and stroke) in adults, and WCM plus YD therapeutic regimen can significantly improve the effective rate in the clinic. PMID:28539962

Effects of Herbal Medicine (Gan Mai Da Zao Decoction) on Several Types of Neuropsychiatric Disorders in an Animal Model: A Systematic Review: Herbal medicine for animal studies of neuropsychiatric diseases.

PubMed

Kim, Su Ran; Lee, Hye Won; Jun, Ji Hee; Ko, Byoung-Seob

2017-03-01

Gan Mai Da Zao (GMDZ) decoction is widely used for the treatment of various diseases of the internal organ and of the central nervous system. The aim of this study is to investigate the effects of GMDZ decoction on neuropsychiatric disorders in an animal model. We searched seven databases for randomized animal studies published until April 2015: Pubmed, four Korean databases (DBpia, Oriental Medicine Advanced Searching Integrated System, Korean Studies Information Service System, and Research Information Sharing Service), and one Chinese database (China National Knowledge Infrastructure). The randomized animal studies were included if the effects of GMDZ decoction were tested on neuropsychiatric disorders. All articles were read in full and extracted predefined criteria by two independent reviewers. From a total of 258 hits, six randomized controlled animal studies were included. Five studies used a Sprague Dawley rat model for acute psychological stress, post-traumatic stress disorders, and unpredictable mild stress depression whereas one study used a Kunming mouse model for prenatal depression. The results of the studies showed that GMDZ decoction improved the related outcomes. Regardless of the dose and concentration used, GMDZ decoction significantly improved neuropsychiatric disease-related outcomes in animal models. However, additional systematic and extensive studies should be conducted to establish a strong conclusion.

Effects of Ginger (Zingiber officinale Roscoe) on Type 2 Diabetes Mellitus and Components of the Metabolic Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

PubMed

Zhu, Jie; Chen, Hao; Song, Zhixiu; Wang, Xudong; Sun, Zhenshuang

2018-01-01

This article aims to assess the effects of ginger (Zingiber officinale Roscoe) on type 2 diabetes mellitus (T2DM) and/or components of the metabolic syndrome (MetS). Electronic literature was searched in PubMed, Embase, the Cochrane Library, Chinese Biomedical Database, China National Knowledge Infrastructure, and Wanfang Database from inception of the database to May 19, 2017, and supplemented by browsing reference lists of potentially eligible articles. Randomized controlled trials on research subjects were included. Data were extracted as a mean difference (MD) and 95% confidence interval (CI). Subgroup analysis of fasting blood glucose (FBG) was performed. 10 studies met the inclusion criteria with a total of 490 individuals. Ginger showed a significant beneficial effect in glucose control and insulin sensitivity. The pooled weighted MD of glycosylated hemoglobin (HbA1c) was -1.00, (95% CI: -1.56, -0.44; P < 0.001). Subgroup analysis revealed that ginger obviously reduced FBG in T2DM patients (-21.24; 95% CI: -33.21, -9.26; P < 0.001). Meanwhile, the significant effects of improvement of lipid profile were observed. Most analyses were not statistically heterogeneous. Based on the negligible side effects and obvious ameliorative effects on glucose control, insulin sensitivity, and lipid profile, ginger may be a promising adjuvant therapy for T2DM and MetS.

A systematic literature review of evidence-based clinical practice for rare diseases: what are the perceived and real barriers for improving the evidence and how can they be overcome?

PubMed

Rath, Ana; Salamon, Valérie; Peixoto, Sandra; Hivert, Virginie; Laville, Martine; Segrestin, Berenice; Neugebauer, Edmund A M; Eikermann, Michaela; Bertele, Vittorio; Garattini, Silvio; Wetterslev, Jørn; Banzi, Rita; Jakobsen, Janus C; Djurisic, Snezana; Kubiak, Christine; Demotes-Mainard, Jacques; Gluud, Christian

2017-11-22

Evidence-based clinical practice is challenging in all fields, but poses special barriers in the field of rare diseases. The present paper summarises the main barriers faced by clinical research in rare diseases, and highlights opportunities for improvement. Systematic literature searches without meta-analyses and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. Barriers specific to rare diseases comprise the difficulty to recruit participants because of rarity, scattering of patients, limited knowledge on natural history of diseases, difficulties to achieve accurate diagnosis and identify patients in health information systems, and difficulties choosing clinically relevant outcomes. Evidence-based clinical practice for rare diseases should start by collecting clinical data in databases and registries; defining measurable patient-centred outcomes; and selecting appropriate study designs adapted to small study populations. Rare diseases constitute one of the most paradigmatic fields in which multi-stakeholder engagement, especially from patients, is needed for success. Clinical research infrastructures and expertise networks offer opportunities for establishing evidence-based clinical practice within rare diseases.

SparkText: Biomedical Text Mining on Big Data Framework.

PubMed

Ye, Zhan; Tafti, Ahmad P; He, Karen Y; Wang, Kai; He, Max M

Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.

Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service.

PubMed

Oh, Sungyoung; Cha, Jieun; Ji, Myungkyu; Kang, Hyekyung; Kim, Seok; Heo, Eunyoung; Han, Jong Soo; Kang, Hyunggoo; Chae, Hoseok; Hwang, Hee; Yoo, Sooyoung

2015-04-01

To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. We analyzed the architecture requirements of an HSP, including the interface, business services, cloud SaaS, quality attributes, privacy and security, and multi-lingual capacity. For cloud-based SaaS services, we focused on Clinical Decision Service (CDS) content services, basic functional services, and mobile services. Microsoft's Azure cloud computing for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) was used. The functional and software views of an HSP were designed in a layered architecture. External systems can be interfaced with the HSP using SOAP and REST/JSON. The multi-tenancy model of the HSP was designed as a shared database, with a separate schema for each tenant through a single application, although healthcare data can be physically located on a cloud or in a hospital, depending on regulations. The CDS services were categorized into rule-based services for medications, alert registration services, and knowledge services. We expect that cloud-based HSPs will allow small and mid-sized hospitals, in addition to large-sized hospitals, to adopt information infrastructures and health information technology with low system operation and maintenance costs.

SparkText: Biomedical Text Mining on Big Data Framework

PubMed Central

He, Karen Y.; Wang, Kai

2016-01-01

Background Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. Results In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. Conclusions This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research. PMID:27685652

Efficacy of Ligustrazine Injection as Adjunctive Therapy for Angina Pectoris: A Systematic Review and Meta-Analysis.

PubMed

Shao, Huikai; Zhao, Lingguo; Chen, Fuchao; Zeng, Shengbo; Liu, Shengquan; Li, Jiajia

2015-11-29

BACKGROUND In the past decades, a large number of randomized controlled trials (RCTs) on the efficacy of ligustrazine injection combined with conventional antianginal drugs for angina pectoris have been reported. However, these RCTs have not been evaluated in accordance with PRISMA systematic review standards. The aim of this study was to evaluate the efficacy of ligustrazine injection as adjunctive therapy for angina pectoris. MATERIAL AND METHODS The databases PubMed, Medline, Cochrane Library, Embase, Sino-Med, Wanfang Databases, Chinese Scientific Journal Database, Google Scholar, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, and the Chinese Science Citation Database were searched for published RCTs. Meta-analysis was performed on the primary outcome measures, including the improvements of electrocardiography (ECG) and the reductions in angina symptoms. Sensitivity and subgroup analysis based on the M score (the refined Jadad scores) were also used to evaluate the effect of quality, sample size, and publication year of the included RCTs on the overall effect of ligustrazine injection. RESULTS Eleven RCTs involving 870 patients with angina pectoris were selected in this study. Compared with conventional antianginal drugs alone, ligustrazine injection combined with antianginal drugs significantly increased the efficacy in symptom improvement (odds ratio [OR], 3.59; 95% confidence interval [CI]: 2.39 to 5.40) and in ECG improvement (OR, 3.42; 95% CI: 2.33 to 5.01). Sensitivity and subgroup analysis also confirmed that ligustrazine injection had better effect in the treatment of angina pectoris as adjunctive therapy. CONCLUSIONS The 11 eligible RCTs indicated that ligustrazine injection as adjunctive therapy was more effective than antianginal drugs alone. However, due to the low quality of included RCTs, more rigorously designed RCTs were still needed to verify the effects of ligustrazine injection as adjunctive therapy for angina pectoris.

Efficacy of Ligustrazine Injection as Adjunctive Therapy for Angina Pectoris: A Systematic Review and Meta-Analysis

PubMed Central

Shao, Huikai; Zhao, Lingguo; Chen, Fuchao; Zeng, Shengbo; Liu, Shengquan; Li, Jiajia

2015-01-01

Background In the past decades, a large number of randomized controlled trials (RCTs) on the efficacy of ligustrazine injection combined with conventional antianginal drugs for angina pectoris have been reported. However, these RCTs have not been evaluated in accordance with PRISMA systematic review standards. The aim of this study was to evaluate the efficacy of ligustrazine injection as adjunctive therapy for angina pectoris. Material/Methods The databases PubMed, Medline, Cochrane Library, Embase, Sino-Med, Wanfang Databases, Chinese Scientific Journal Database, Google Scholar, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, and the Chinese Science Citation Database were searched for published RCTs. Meta-analysis was performed on the primary outcome measures, including the improvements of electrocardiography (ECG) and the reductions in angina symptoms. Sensitivity and subgroup analysis based on the M score (the refined Jadad scores) were also used to evaluate the effect of quality, sample size, and publication year of the included RCTs on the overall effect of ligustrazine injection. Results Eleven RCTs involving 870 patients with angina pectoris were selected in this study. Compared with conventional antianginal drugs alone, ligustrazine injection combined with antianginal drugs significantly increased the efficacy in symptom improvement (odds ratio [OR], 3.59; 95% confidence interval [CI]: 2.39 to 5.40) and in ECG improvement (OR, 3.42; 95% CI: 2.33 to 5.01). Sensitivity and subgroup analysis also confirmed that ligustrazine injection had better effect in the treatment of angina pectoris as adjunctive therapy. Conclusions The 11 eligible RCTs indicated that ligustrazine injection as adjunctive therapy was more effective than antianginal drugs alone. However, due to the low quality of included RCTs, more rigorously designed RCTs were still needed to verify the effects of ligustrazine injection as adjunctive therapy for angina pectoris. PMID:26615387

Inside a VAMDC data node—putting standards into practical software

NASA Astrophysics Data System (ADS)

Regandell, Samuel; Marquart, Thomas; Piskunov, Nikolai

2018-03-01

Access to molecular and atomic data is critical for many forms of remote sensing analysis across different fields. Many atomic and molecular databases are however highly specialised for their intended application, complicating querying and combination data between sources. The Virtual Atomic and Molecular Data Centre, VAMDC, is an electronic infrastructure that allows each database to register as a ‘node’. Through services such as VAMDC’s portal website, users can then access and query all nodes in a homogenised way. Today all major Atomic and Molecular databases are attached to VAMDC This article describes the software tools we developed to help data providers create and manage a VAMDC node. It gives an overview of the VAMDC infrastructure and of the various standards it uses. The article then discusses the development choices made and how the standards are implemented in practice. It concludes with a full example of implementing a VAMDC node using a real-life case as well as future plans for the node software.

Integration of a neuroimaging processing pipeline into a pan-canadian computing grid

NASA Astrophysics Data System (ADS)

Lavoie-Courchesne, S.; Rioux, P.; Chouinard-Decorte, F.; Sherif, T.; Rousseau, M.-E.; Das, S.; Adalat, R.; Doyon, J.; Craddock, C.; Margulies, D.; Chu, C.; Lyttelton, O.; Evans, A. C.; Bellec, P.

2012-02-01

The ethos of the neuroimaging field is quickly moving towards the open sharing of resources, including both imaging databases and processing tools. As a neuroimaging database represents a large volume of datasets and as neuroimaging processing pipelines are composed of heterogeneous, computationally intensive tools, such open sharing raises specific computational challenges. This motivates the design of novel dedicated computing infrastructures. This paper describes an interface between PSOM, a code-oriented pipeline development framework, and CBRAIN, a web-oriented platform for grid computing. This interface was used to integrate a PSOM-compliant pipeline for preprocessing of structural and functional magnetic resonance imaging into CBRAIN. We further tested the capacity of our infrastructure to handle a real large-scale project. A neuroimaging database including close to 1000 subjects was preprocessed using our interface and publicly released to help the participants of the ADHD-200 international competition. This successful experiment demonstrated that our integrated grid-computing platform is a powerful solution for high-throughput pipeline analysis in the field of neuroimaging.

Design and evaluation of an imaging informatics system for analytics-based decision support in radiation therapy

NASA Astrophysics Data System (ADS)

Deshpande, Ruchi; DeMarco, John; Liu, Brent J.

2015-03-01

We have developed a comprehensive DICOM RT specific database of retrospective treatment planning data for radiation therapy of head and neck cancer. Further, we have designed and built an imaging informatics module that utilizes this database to perform data mining. The end-goal of this data mining system is to provide radiation therapy decision support for incoming head and neck cancer patients, by identifying best practices from previous patients who had the most similar tumor geometries. Since the performance of such systems often depends on the size and quality of the retrospective database, we have also placed an emphasis on developing infrastructure and strategies to encourage data sharing and participation from multiple institutions. The infrastructure and decision support algorithm have both been tested and evaluated with 51 sets of retrospective treatment planning data of head and neck cancer patients. We will present the overall design and architecture of our system, an overview of our decision support mechanism as well as the results of our evaluation.

Scientific Use Cases for the Virtual Atomic and Molecular Data Center

NASA Astrophysics Data System (ADS)

Dubernet, M. L.; Aboudarham, J.; Ba, Y. A.; Boiziot, M.; Bottinelli, S.; Caux, E.; Endres, C.; Glorian, J. M.; Henry, F.; Lamy, L.; Le Sidaner, P.; Møller, T.; Moreau, N.; Rénié, C.; Roueff, E.; Schilke, P.; Vastel, C.; Zwoelf, C. M.

2014-12-01

VAMDC Consortium is a worldwide consortium which federates interoperable Atomic and Molecular databases through an e-science infrastructure. The contained data are of the highest scientific quality and are crucial for many applications: astrophysics, atmospheric physics, fusion, plasma and lighting technologies, health, etc. In this paper we present astrophysical scientific use cases in relation to the use of the VAMDC e-infrastructure. Those will cover very different applications such as: (i) modeling the spectra of interstellar objects using the myXCLASS software tool implemented in the Common Astronomy Software Applications package (CASA) or using the CASSIS software tool, in its stand-alone version or implemented in the Herschel Interactive Processing Environment (HIPE); (ii) the use of Virtual Observatory tools accessing VAMDC databases; (iii) the access of VAMDC from the Paris solar BASS2000 portal; (iv) the combination of tools and database from the APIS service (Auroral Planetary Imaging and Spectroscopy); (v) combination of heterogeneous data for the application to the interstellar medium from the SPECTCOL tool.

Equipment Management for Sensor Networks: Linking Physical Infrastructure and Actions to Observational Data

NASA Astrophysics Data System (ADS)

Jones, A. S.; Horsburgh, J. S.; Matos, M.; Caraballo, J.

2015-12-01

Networks conducting long term monitoring using in situ sensors need the functionality to track physical equipment as well as deployments, calibrations, and other actions related to site and equipment maintenance. The observational data being generated by sensors are enhanced if direct linkages to equipment details and actions can be made. This type of information is typically recorded in field notebooks or in static files, which are rarely linked to observations in a way that could be used to interpret results. However, the record of field activities is often relevant to analysis or post-processing of the observational data. We have developed an underlying database schema and deployed a web interface for recording and retrieving information on physical infrastructure and related actions for observational networks. The database schema for equipment was designed as an extension to the Observations Data Model 2 (ODM2), a community-developed information model for spatially discrete, feature based earth observations. The core entities of ODM2 describe location, observed variable, and timing of observations, and the equipment extension contains entities to provide additional metadata specific to the inventory of physical infrastructure and associated actions. The schema is implemented in a relational database system for storage and management with an associated web interface. We designed the web-based tools for technicians to enter and query information on the physical equipment and actions such as site visits, equipment deployments, maintenance, and calibrations. These tools were implemented for the iUTAH (innovative Urban Transitions and Aridregion Hydrosustainability) ecohydrologic observatory, and we anticipate that they will be useful for similar large-scale monitoring networks desiring to link observing infrastructure to observational data to increase the quality of sensor-based data products.

High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis

PubMed Central

Simonyan, Vahan; Chumakov, Konstantin; Dingerdissen, Hayley; Faison, William; Goldweber, Scott; Golikov, Anton; Gulzar, Naila; Karagiannis, Konstantinos; Vinh Nguyen Lam, Phuc; Maudru, Thomas; Muravitskaja, Olesja; Osipova, Ekaterina; Pan, Yang; Pschenichnov, Alexey; Rostovtsev, Alexandre; Santana-Quintero, Luis; Smith, Krista; Thompson, Elaine E.; Tkachenko, Valery; Torcivia-Rodriguez, John; Wan, Quan; Wang, Jing; Wu, Tsung-Jung; Wilson, Carolyn; Mazumder, Raja

2016-01-01

The High-performance Integrated Virtual Environment (HIVE) is a distributed storage and compute environment designed primarily to handle next-generation sequencing (NGS) data. This multicomponent cloud infrastructure provides secure web access for authorized users to deposit, retrieve, annotate and compute on NGS data, and to analyse the outcomes using web interface visual environments appropriately built in collaboration with research and regulatory scientists and other end users. Unlike many massively parallel computing environments, HIVE uses a cloud control server which virtualizes services, not processes. It is both very robust and flexible due to the abstraction layer introduced between computational requests and operating system processes. The novel paradigm of moving computations to the data, instead of moving data to computational nodes, has proven to be significantly less taxing for both hardware and network infrastructure. The honeycomb data model developed for HIVE integrates metadata into an object-oriented model. Its distinction from other object-oriented databases is in the additional implementation of a unified application program interface to search, view and manipulate data of all types. This model simplifies the introduction of new data types, thereby minimizing the need for database restructuring and streamlining the development of new integrated information systems. The honeycomb model employs a highly secure hierarchical access control and permission system, allowing determination of data access privileges in a finely granular manner without flooding the security subsystem with a multiplicity of rules. HIVE infrastructure will allow engineers and scientists to perform NGS analysis in a manner that is both efficient and secure. HIVE is actively supported in public and private domains, and project collaborations are welcomed. Database URL: https://hive.biochemistry.gwu.edu PMID:26989153

High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis.

PubMed

Simonyan, Vahan; Chumakov, Konstantin; Dingerdissen, Hayley; Faison, William; Goldweber, Scott; Golikov, Anton; Gulzar, Naila; Karagiannis, Konstantinos; Vinh Nguyen Lam, Phuc; Maudru, Thomas; Muravitskaja, Olesja; Osipova, Ekaterina; Pan, Yang; Pschenichnov, Alexey; Rostovtsev, Alexandre; Santana-Quintero, Luis; Smith, Krista; Thompson, Elaine E; Tkachenko, Valery; Torcivia-Rodriguez, John; Voskanian, Alin; Wan, Quan; Wang, Jing; Wu, Tsung-Jung; Wilson, Carolyn; Mazumder, Raja

2016-01-01

The High-performance Integrated Virtual Environment (HIVE) is a distributed storage and compute environment designed primarily to handle next-generation sequencing (NGS) data. This multicomponent cloud infrastructure provides secure web access for authorized users to deposit, retrieve, annotate and compute on NGS data, and to analyse the outcomes using web interface visual environments appropriately built in collaboration with research and regulatory scientists and other end users. Unlike many massively parallel computing environments, HIVE uses a cloud control server which virtualizes services, not processes. It is both very robust and flexible due to the abstraction layer introduced between computational requests and operating system processes. The novel paradigm of moving computations to the data, instead of moving data to computational nodes, has proven to be significantly less taxing for both hardware and network infrastructure.The honeycomb data model developed for HIVE integrates metadata into an object-oriented model. Its distinction from other object-oriented databases is in the additional implementation of a unified application program interface to search, view and manipulate data of all types. This model simplifies the introduction of new data types, thereby minimizing the need for database restructuring and streamlining the development of new integrated information systems. The honeycomb model employs a highly secure hierarchical access control and permission system, allowing determination of data access privileges in a finely granular manner without flooding the security subsystem with a multiplicity of rules. HIVE infrastructure will allow engineers and scientists to perform NGS analysis in a manner that is both efficient and secure. HIVE is actively supported in public and private domains, and project collaborations are welcomed. Database URL: https://hive.biochemistry.gwu.edu. © The Author(s) 2016. Published by Oxford University Press.

The prognostic role of Leucine-rich repeat-containing G-protein-coupled receptor 5 in gastric cancer: A systematic review with meta-analysis.

PubMed

Huang, Tianchen; Qiu, Xinguang; Xiao, Jianan; Wang, Qingbing; Wang, Yanjun; Zhang, Yong; Bai, Dongxiao

2016-04-01

The prognostic value of Leucine-rich repeat-containing G-protein-coupled receptor 5 (LGR5) in gastric cancer remains controversial. To further investigate this relationship, we performed meta-analyses to systematically review the association between LGR5 expression and various clinical parameters in gastric cancer patients. Eligible studies from PubMed, Embase, Web of Science, CNKI (Chinese National Knowledge Infrastructure), Wangfang (Database of Chinese Ministry of Science & Technology) and CBM (China Biological Medicine) databases were evaluated to investigate the association of LGR5 expression with overall survival (OS) and clinicopathological features of gastric cancer. LGR5 overexpression was significantly associated with poor OS in patients with gastric cancer (HR 1.66, 95% CI 1.02-2.69). LGR5 overexpression was also significantly associated with TNM stage (TIII/TIV vs TI/TII: OR 5.42, 95% CI 1.02-28.72) and lymph node metastasis (positive vs negative: OR 2.30, 95% CI 1.06-5.0). Our meta-analysis indicates that LGR5 may be a predictive factor for invasion and metastasis, and poor prognosis in patients with gastric cancer. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Large Dosage of Chishao in Formulae for Cholestatic Hepatitis: A Systematic Review and Meta-Analysis

PubMed Central

Ma, Xiao; Wang, Ji; He, Xuan; Zhao, Yanling; Wang, Jiabo; Zhang, Ping; Zhu, Yun; Zhong, Lin; Zheng, Quanfu; Xiao, Xiaohe

2014-01-01

Objective. To evaluate the efficacy and safety of large dosage of Chishao in formulae for treatment of cholestatic hepatitis. Methods. The major databases (PubMed, Embase, Cochrane Library, Chinese Biomedical Database Wanfang, VIP medicine information system, and China National Knowledge Infrastructure) were searched until January 2014. Randomized controlled trials (RCTs) of large dosage of Chishao in formulae that reported on publications in treatment of cholestatic hepatitis with total efficacy rate, together with the biochemical indices including alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), and direct bilirubin (DBIL), were extracted by two reviewers. The Cochrane tool was used for the assessment of risk of bias included trials. Data were analyzed with RevMan 5.2.7 software. Results. 11 RCTs involving 1275 subjects with cholestatic hepatitis were included. Compared with essential therapy, large dosage of Chishao in formulae demonstrated more efficiently with down regulation of serum ALT, AST, TBIL, DBIL. Meanwhile, there were no obvious adverse events. Conclusion. As a promising novel treatment approach, widely using large dosage of Chishao in formulae may enhance the curative efficacy for cholestatic hepatitis. Considering being accepted by more and more practitioners, further rigorously designed clinical studies are required. PMID:24987427

Joint development of evidence-based medical record by doctors and patients through integrated Chinese and Western medicine on digestive system diseases.

PubMed

Li, Bo; Gao, Hong-yang; Gao, Rui; Zhao, Ying-pan; Li, Qing-na; Zhao, Yang; Tang, Xu-dong; Shang, Hong-cai

2016-02-01

Building the clinical therapeutic evaluation system by combing the evaluation given by doctors and patients can form a more comprehensive and objective evaluation system. A literature search on the practice of evidence-based evaluation was conducted in key biomedical databases, i.e. PubMed, Excerpt Medica Database, China Biology Medicine disc and China National Knowledge Infrastructure. However, no relevant study on the subjects of interest was identified. Therefore, drawing on the principles of narrative medicine and expert opinion from systems of Chinese medicine and Western medicine, we propose to develop and pilot-test a novel evidence-based medical record format that captures the perspectives of both patients and doctors in a clinical trial. Further, we seek to evaluate a strategic therapeutic approach that integrates the wisdom of Chinese medicine with the scientific basis of Western medicine in the treatment of digestive system disorders. Evaluation of therapeutic efficacy of remedies under the system of Chinese medicine is an imperative ongoing research. The present study intends to identify a novel approach to assess the synergistic benefits achievable from an integrated therapeutic approach combining Chinese and Western system of medicine to treat digestive system disorders.

An overview of acupuncture for psoriasis vulgaris, 2009-2014.

PubMed

Xiang, Yu; Wu, Xing; Lu, Chuanjian; Wang, Kaiyi

2017-05-01

Psoriasis is a chronic, proliferative, and inflammatory skin disease which affects around 2-3% of the global population. Current pharmacotherapy is effective, however medication with safe and long-lasting therapeutic effects is needed. Acupuncture for psoriasis is widely used in China as well as other Asian countries, and is gradually becoming accepted globally. To determine the characteristics and advantages of acupuncture treatment for psoriasis, and to improve the clinical outcomes of this disease in the future, this review summarizes literature on acupuncture treatment for psoriasis published between 2009 and 2014. Databases search was conducted with the China National Knowledge Infrastructure (CNKI), MEDLINE, and PubMed databases over a time period ranging from January 2009 to December 2014. The condition term was "psoriasis" and the key intervention terms were "needling", "moxibustion", "auriculotherapy", "cupping and bloodletting therapy", "catgut embedding therapy", "point-injection therapy", "traditional Chinese medicine fumigation therapy", "fire needling therapy", and "vesiculation moxibustion". Languages were limited to English and Chinese. Therapeutic mechanisms, therapy, therapeutic characteristics, advantages and limits of acupuncture for psoriasis are discussed. The conclusion is that acupuncture therapies for psoriasis are simple, convenient, and effective, with long-lasting therapeutic effects as well as minimal side effects and toxicity.

Envri Cluster - a Community-Driven Platform of European Environmental Researcher Infrastructures for Providing Common E-Solutions for Earth Science

NASA Astrophysics Data System (ADS)

Asmi, A.; Sorvari, S.; Kutsch, W. L.; Laj, P.

2017-12-01

European long-term environmental research infrastructures (often referred as ESFRI RIs) are the core facilities for providing services for scientists in their quest for understanding and predicting the complex Earth system and its functioning that requires long-term efforts to identify environmental changes (trends, thresholds and resilience, interactions and feedbacks). Many of the research infrastructures originally have been developed to respond to the needs of their specific research communities, however, it is clear that strong collaboration among research infrastructures is needed to serve the trans-boundary research requires exploring scientific questions at the intersection of different scientific fields, conducting joint research projects and developing concepts, devices, and methods that can be used to integrate knowledge. European Environmental research infrastructures have already been successfully worked together for many years and have established a cluster - ENVRI cluster - for their collaborative work. ENVRI cluster act as a collaborative platform where the RIs can jointly agree on the common solutions for their operations, draft strategies and policies and share best practices and knowledge. Supporting project for the ENVRI cluster, ENVRIplus project, brings together 21 European research infrastructures and infrastructure networks to work on joint technical solutions, data interoperability, access management, training, strategies and dissemination efforts. ENVRI cluster act as one stop shop for multidisciplinary RI users, other collaborative initiatives, projects and programmes and coordinates and implement jointly agreed RI strategies.

Case Histories of Landslide Impact: A Database-driven Approach

NASA Astrophysics Data System (ADS)

Klose, Martin; Damm, Bodo

2015-04-01

Fundamental understanding of landslide risk requires in-depth knowledge of how landslides have impacted society in the past (e.g., Corominas et al., 2014). A key to obtain insights into the evolution of landslide risk at single facilities of critical infrastructures are case histories of landslide impact. The purpose of such historical analyses is to inform about the site-specific interactions between landslides and land-use activity. Case histories support correlating landslide events and associated damages with multiple control variables of landslide risk, including (i) previous construction works, (ii) hazard awareness, (iii) the type of structure or its material properties, and (iv) measures of post-disaster mitigation. It is a key advantage of case histories to provide an overview of the changes in the exposure and vulnerability of infrastructures over time. Their application helps to learn more about changing patterns in risk culture and the effectiveness of repair or prevention measures (e.g., Klose et al., 2014). Case histories of landslide impact are developed on the basis of information extracted from landslide databases. The use of path diagrams and illustrated flowcharts as data modeling techniques is aimed at structuring, condensing, and visualizing complex historical data sets on landslide activity and land-use. Much of the scientific potential of case histories simply depends on the quality of available database information. Landslide databases relying on a bottom-up approach characterized by targeted local data specification are optimally suited for historical impact analyses. Combined with systematic retrieval, extraction, and integration of data from multiple sources, landslide databases constitute a valuable tool for developing case histories that enable to open a whole new window on the study of landslide impacts (e.g., Damm and Klose, 2014). The present contribution introduces such a case history for a well-known landslide site at a heavily frequented highway in NW Germany. Landslide problems at this site started with road construction in the early 1880s and were related to multiple event clusters, especially those in the years 1936-1937 (n = 4), 1961 (n = 2), 1970-1974 (n = 5), and 1999-2001 (n = 7). The most frequently applied mitigation measures were rudimentary and less expensive, including (i) removal of loose rock and vegetation (1924, 1936, 1961-1962, 1994), (ii) rock blasting (1936), (iii) catch barriers (1937, 1994), and (iv) temporary or perpetual closure of traffic lanes (1982, 1994). A series of destructive landslides forced decision-makers to launch an expensive slope stabilization project in 2001 that resulted in costs of USD 7.1 million. After finalization of the project no further landslide problems have been reported for this site. References Corominas, J., van Westen, C., Frattini, P., Cascini, L., Malet, J.-P., Fotopoulou, S., Catani, F., Van Den Eeckhaut, M., Mavrouli, O., Agliardi, F., Pitilakis, K., Winter, M.G., Pastor, M., Ferlisi, S., Tofani, V., Hervás, J., Smith, J.T., 2014. Recommendations for the quantitative analysis of landslide risk. Bulletin of Engineering Geology and the Environment 73, 209-263. Damm, B., Klose, M., 2014. Landslide database for the Federal Republic of Germany: a tool for analysis of mass movement processes and impacts. In: Sassa, K., Canuti, P., Yin, Y. (Eds.), Landslide Science for a Safer Geoenvironment. Volume 2: Methods of Landslide Studies. Springer, Berlin, pp. 787-792. Klose, M., Damm, B., Terhorst, B., 2014. Landslide cost modeling for transportation infrastructures: a methodological approach. Landslides, DOI 10.1007/s10346-014-0481-1.

Performance evaluation of wavelet-based face verification on a PDA recorded database

NASA Astrophysics Data System (ADS)

Sellahewa, Harin; Jassim, Sabah A.

2006-05-01

The rise of international terrorism and the rapid increase in fraud and identity theft has added urgency to the task of developing biometric-based person identification as a reliable alternative to conventional authentication methods. Human Identification based on face images is a tough challenge in comparison to identification based on fingerprints or Iris recognition. Yet, due to its unobtrusive nature, face recognition is the preferred method of identification for security related applications. The success of such systems will depend on the support of massive infrastructures. Current mobile communication devices (3G smart phones) and PDA's are equipped with a camera which can capture both still and streaming video clips and a touch sensitive display panel. Beside convenience, such devices provide an adequate secure infrastructure for sensitive & financial transactions, by protecting against fraud and repudiation while ensuring accountability. Biometric authentication systems for mobile devices would have obvious advantages in conflict scenarios when communication from beyond enemy lines is essential to save soldier and civilian life. In areas of conflict or disaster the luxury of fixed infrastructure is not available or destroyed. In this paper, we present a wavelet-based face verification scheme that have been specifically designed and implemented on a currently available PDA. We shall report on its performance on the benchmark audio-visual BANCA database and on a newly developed PDA recorded audio-visual database that take include indoor and outdoor recordings.

ICT and Information Strategies for a Knowledge Economy: The Indian Experience

ERIC Educational Resources Information Center

Ghosh, Maitrayee; Ghosh, Ipsheet

2009-01-01

Purpose: The purpose of this paper is to describe the progress India has made in its move towards a knowledge-based economy with details of how the Indian Government has demonstrated its commitment to the development of fundamental pillars of knowledge sharing infrastructure, knowledge workers and a knowledge innovation system. Libraries are…

How Cities Think: Knowledge Co-Production for Urban Sustainability and Resilience

Treesearch

Tischa Muñoz-Erickson; Clark Miller; Thaddeus Miller

2017-01-01

Understanding and transforming how cities think is a crucial part of developing effective knowledge infrastructures for the Anthropocene. In this article, we review knowledge co-production as a popular approach in environmental and sustainability science communities to the generationof useable knowledge for sustainability and resilience. We present knowledge systems...

The Role of Free/Libre and Open Source Software in Learning Health Systems.

PubMed

Paton, C; Karopka, T

2017-08-01

Objective: To give an overview of the role of Free/Libre and Open Source Software (FLOSS) in the context of secondary use of patient data to enable Learning Health Systems (LHSs). Methods: We conducted an environmental scan of the academic and grey literature utilising the MedFLOSS database of open source systems in healthcare to inform a discussion of the role of open source in developing LHSs that reuse patient data for research and quality improvement. Results: A wide range of FLOSS is identified that contributes to the information technology (IT) infrastructure of LHSs including operating systems, databases, frameworks, interoperability software, and mobile and web apps. The recent literature around the development and use of key clinical data management tools is also reviewed. Conclusions: FLOSS already plays a critical role in modern health IT infrastructure for the collection, storage, and analysis of patient data. The nature of FLOSS systems to be collaborative, modular, and modifiable may make open source approaches appropriate for building the digital infrastructure for a LHS. Georg Thieme Verlag KG Stuttgart.

Wenjing decoction (herbal medicine) for the treatment of primary dysmenorrhea: a systematic review and meta-analysis.

PubMed

Gao, Li; Jia, Chunhua; Zhang, Heng; Ma, Cuilan

2017-10-01

Wenjing decoction is a well-accepted traditional Chinese medicine for the treatment of primary dysmenorrhea in East Asia, but its clinical effectiveness and risk have not been adequately assessed. In this paper, we conducted a systematic review and meta-analysis to evaluate the efficacy of Wenjing decoction for the treatment of primary dysmenorrhea. Eight databases were used in our research: the Cochrane Library, the Web of Science, PubMed, EMBASE, the Chinese Biomedical Literature Database (CBM), the Chinese National Knowledge Infrastructure (CNKI), the Chinese Scientific Journal Database, and the Wan-fang Database. The following search terms were used: (Wenjing decoction OR Wenjing formula OR Wenjing tang) AND (primary dysmenorrhea OR dysmenorrhea OR painful menstruation) AND (randomized controlled trial). No language limitation was used. A total of 18 studies, including 1736 patients, were included in the meta-analysis. Wenjing decoction was shown to be significantly better than nonsteroidal anti-inflammatory drugs for the improvement of primary dysmenorrhea according to the clinical effective rate (RR 1.41, 95% CI 1.24-1.61), the visual analogue scale (MD -1.77, 95% CI -2.69 to -0.84), and the pain scale for dysmenorrhea (MD -1.81, 95% CI -2.41 to -1.22). The results supported the clinical use of Wenjing decoction for the treatment of primary dysmenorrhea. However, the quality of the evidence for this finding was low due to a high risk of bias in the included studies. Therefore, well-designed randomized controlled trials are still needed to further evaluate the efficacy of Wenjing decoction for the treatment of primary dysmenorrhea.

Quality assessment of clinical practice guidelines for integrative medicine in China: A systematic review.

PubMed

Yao, Sha; Wei, Dang; Chen, Yao-Long; Wang, Qi; Wang, Xiao-Qin; Zeng, Zhao; Li, Hui

2017-05-01

To assess the quality of integrative medicine clinical practice guidelines (CPGs) published before 2014. A systematic search of the scientific literature published before 2014 was conducted to select integrative medicine CPGs. Four major Chinese integrated databases and one guideline database were searched: the Chinese Biomedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Data, and the China Guideline Clearinghouse (CGC). Four reviewers independently assessed the quality of the included guidelines using the Appraisal of Guidelines for Research and Evaluation (AGREE) II Instrument. Overall consensus among the reviewers was assessed using the intra-class correlation coefficient (ICC). A total of 41 guidelines published from 2003 to 2014 were included. The overall consensus among the reviewers was good [ICC: 0.928; 95% confifi dence interval (CI): 0.920 to 0.935]. The scores on the 6 AGREE domains were: 17% for scope and purpose (range: 6% to 32%), 11% for stakeholder involvement (range: 0 to 24%), 10% for rigor of development (range: 3% to 22%), 39% for clarity and presentation (range: 25% to 64%), 11% for applicability (range: 4% to 24%), and 1% for editorial independence (range: 0 to 15%). The quality of integrative medicine CPGs was low, the development of integrative medicine CPGs should be guided by systematic methodology. More emphasis should be placed on multi-disciplinary guideline development groups, quality of evidence, management of funding and conflfl icts of interest, and guideline updates in the process of developing integrative medicine CPGs in China.

Effectiveness of flipped classrooms in Chinese baccalaureate nursing education: A meta-analysis of randomized controlled trials.

PubMed

Hu, Rujun; Gao, Huiming; Ye, Yansheng; Ni, Zhihong; Jiang, Ning; Jiang, Xiaolian

2018-03-01

In recent years, the flipped classroom approach has been broadly applied to nursing courses in China. However, a systematic and quantitative assessment of the outcomes of this approach has not been conducted. The purpose of the meta-analysis is to evaluate the effectiveness of the flipped classroom pedagogy in Chinese baccalaureate nursing education. Meta-analysis of randomized controlled studies. All randomized controlled trials relevant to the use of flipped classrooms in Chinese nursing education were retrieved from the following databases from their date of inception through September 23, 2017: PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, CINAHL, the China National Knowledge Infrastructure, the Wanfang Database, and the Chinese Scientific Journals Database. Search terms including "flipp*", "inverted", "classroom", and "nurs*" were used to identify potential studies. We also manually searched the reference lists of the retrieved articles to identify potentially relevant studies. Two reviewers independently assessed the eligibility of each study and extracted the data. The Cochrane risk-of-bias tool was used to evaluate the quality of the studies. RevMan (Version 5.3) was used to analyze the data. Theoretical knowledge scores and skill scores (continuous data) were synthesized using the standardized mean difference (SMD) and 95% confidence interval (CI). The statistical heterogeneity of the included studies was analyzed by calculating the I 2 statistic and applying a chi-square test. Publication bias was assessed by funnel plots. The quality of the combined results was evaluated using the Grading of Recommendations Assessment, Development and Evaluation system. Eleven randomized controlled trials published between 2015 and 2017 were selected. All the included studies had a moderate possibility of bias due to low methodological quality. The meta-analysis indicated that the theoretical knowledge scores and skill scores were significantly higher in the flipped classroom group than in the traditional lectures group (SMD=1.06, 95% CI: 0.70-1.41, P <0.001, and SMD=1.40, 95% CI: 0.46-2.34, P <0.001). There was no significant publication bias indicated in the primary analysis. Sensitivity analysis showed that the results of our meta-analysis were reliable. The evidence grades of the results regarding the theoretical knowledge and skill scores were low and very low, respectively. Flipped classroom pedagogy is more effective than traditional lectures at improving students' theoretical knowledge and skill scores. Given the limitations of the included studies, more robust randomized controlled trials are warranted in a variety of educational settings to confirm our findings. Copyright © 2017 Elsevier Ltd. All rights reserved.

A Knowledge Database on Thermal Control in Manufacturing Processes

NASA Astrophysics Data System (ADS)

Hirasawa, Shigeki; Satoh, Isao

A prototype version of a knowledge database on thermal control in manufacturing processes, specifically, molding, semiconductor manufacturing, and micro-scale manufacturing has been developed. The knowledge database has search functions for technical data, evaluated benchmark data, academic papers, and patents. The database also displays trends and future roadmaps for research topics. It has quick-calculation functions for basic design. This paper summarizes present research topics and future research on thermal control in manufacturing engineering to collate the information to the knowledge database. In the molding process, the initial mold and melt temperatures are very important parameters. In addition, thermal control is related to many semiconductor processes, and the main parameter is temperature variation in wafers. Accurate in-situ temperature measurment of wafers is important. And many technologies are being developed to manufacture micro-structures. Accordingly, the knowledge database will help further advance these technologies.

Sharing and community curation of mass spectrometry data with GNPS

PubMed Central

Nguyen, Don Duy; Watrous, Jeramie; Kapono, Clifford A; Luzzatto-Knaan, Tal; Porto, Carla; Bouslimani, Amina; Melnik, Alexey V; Meehan, Michael J; Liu, Wei-Ting; Crüsemann, Max; Boudreau, Paul D; Esquenazi, Eduardo; Sandoval-Calderón, Mario; Kersten, Roland D; Pace, Laura A; Quinn, Robert A; Duncan, Katherine R; Hsu, Cheng-Chih; Floros, Dimitrios J; Gavilan, Ronnie G; Kleigrewe, Karin; Northen, Trent; Dutton, Rachel J; Parrot, Delphine; Carlson, Erin E; Aigle, Bertrand; Michelsen, Charlotte F; Jelsbak, Lars; Sohlenkamp, Christian; Pevzner, Pavel; Edlund, Anna; McLean, Jeffrey; Piel, Jörn; Murphy, Brian T; Gerwick, Lena; Liaw, Chih-Chuang; Yang, Yu-Liang; Humpf, Hans-Ulrich; Maansson, Maria; Keyzers, Robert A; Sims, Amy C; Johnson, Andrew R.; Sidebottom, Ashley M; Sedio, Brian E; Klitgaard, Andreas; Larson, Charles B; P., Cristopher A Boya; Torres-Mendoza, Daniel; Gonzalez, David J; Silva, Denise B; Marques, Lucas M; Demarque, Daniel P; Pociute, Egle; O'Neill, Ellis C; Briand, Enora; Helfrich, Eric J. N.; Granatosky, Eve A; Glukhov, Evgenia; Ryffel, Florian; Houson, Hailey; Mohimani, Hosein; Kharbush, Jenan J; Zeng, Yi; Vorholt, Julia A; Kurita, Kenji L; Charusanti, Pep; McPhail, Kerry L; Nielsen, Kristian Fog; Vuong, Lisa; Elfeki, Maryam; Traxler, Matthew F; Engene, Niclas; Koyama, Nobuhiro; Vining, Oliver B; Baric, Ralph; Silva, Ricardo R; Mascuch, Samantha J; Tomasi, Sophie; Jenkins, Stefan; Macherla, Venkat; Hoffman, Thomas; Agarwal, Vinayak; Williams, Philip G; Dai, Jingqui; Neupane, Ram; Gurr, Joshua; Rodríguez, Andrés M. C.; Lamsa, Anne; Zhang, Chen; Dorrestein, Kathleen; Duggan, Brendan M; Almaliti, Jehad; Allard, Pierre-Marie; Phapale, Prasad; Nothias, Louis-Felix; Alexandrov, Theodore; Litaudon, Marc; Wolfender, Jean-Luc; Kyle, Jennifer E; Metz, Thomas O; Peryea, Tyler; Nguyen, Dac-Trung; VanLeer, Danielle; Shinn, Paul; Jadhav, Ajit; Müller, Rolf; Waters, Katrina M; Shi, Wenyuan; Liu, Xueting; Zhang, Lixin; Knight, Rob; Jensen, Paul R; Palsson, Bernhard O; Pogliano, Kit; Linington, Roger G; Gutiérrez, Marcelino; Lopes, Norberto P; Gerwick, William H; Moore, Bradley S; Dorrestein, Pieter C; Bandeira, Nuno

2017-01-01

The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry techniques are well-suited to high-throughput characterization of natural products, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social molecular networking (GNPS, http://gnps.ucsd.edu), an open-access knowledge base for community wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of ‘living data’ through continuous reanalysis of deposited data. PMID:27504778

GPCRdb: an information system for G protein-coupled receptors

PubMed Central

Isberg, Vignir; Mordalski, Stefan; Munk, Christian; Rataj, Krzysztof; Harpsøe, Kasper; Hauser, Alexander S.; Vroling, Bas; Bojarski, Andrzej J.; Vriend, Gert; Gloriam, David E.

2016-01-01

Recent developments in G protein-coupled receptor (GPCR) structural biology and pharmacology have greatly enhanced our knowledge of receptor structure-function relations, and have helped improve the scientific foundation for drug design studies. The GPCR database, GPCRdb, serves a dual role in disseminating and enabling new scientific developments by providing reference data, analysis tools and interactive diagrams. This paper highlights new features in the fifth major GPCRdb release: (i) GPCR crystal structure browsing, superposition and display of ligand interactions; (ii) direct deposition by users of point mutations and their effects on ligand binding; (iii) refined snake and helix box residue diagram looks; and (iii) phylogenetic trees with receptor classification colour schemes. Under the hood, the entire GPCRdb front- and back-ends have been re-coded within one infrastructure, ensuring a smooth browsing experience and development. GPCRdb is available at http://www.gpcrdb.org/ and it's open source code at https://bitbucket.org/gpcr/protwis. PMID:26582914

Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking.

PubMed

Wang, Mingxun; Carver, Jeremy J; Phelan, Vanessa V; Sanchez, Laura M; Garg, Neha; Peng, Yao; Nguyen, Don Duy; Watrous, Jeramie; Kapono, Clifford A; Luzzatto-Knaan, Tal; Porto, Carla; Bouslimani, Amina; Melnik, Alexey V; Meehan, Michael J; Liu, Wei-Ting; Crüsemann, Max; Boudreau, Paul D; Esquenazi, Eduardo; Sandoval-Calderón, Mario; Kersten, Roland D; Pace, Laura A; Quinn, Robert A; Duncan, Katherine R; Hsu, Cheng-Chih; Floros, Dimitrios J; Gavilan, Ronnie G; Kleigrewe, Karin; Northen, Trent; Dutton, Rachel J; Parrot, Delphine; Carlson, Erin E; Aigle, Bertrand; Michelsen, Charlotte F; Jelsbak, Lars; Sohlenkamp, Christian; Pevzner, Pavel; Edlund, Anna; McLean, Jeffrey; Piel, Jörn; Murphy, Brian T; Gerwick, Lena; Liaw, Chih-Chuang; Yang, Yu-Liang; Humpf, Hans-Ulrich; Maansson, Maria; Keyzers, Robert A; Sims, Amy C; Johnson, Andrew R; Sidebottom, Ashley M; Sedio, Brian E; Klitgaard, Andreas; Larson, Charles B; P, Cristopher A Boya; Torres-Mendoza, Daniel; Gonzalez, David J; Silva, Denise B; Marques, Lucas M; Demarque, Daniel P; Pociute, Egle; O'Neill, Ellis C; Briand, Enora; Helfrich, Eric J N; Granatosky, Eve A; Glukhov, Evgenia; Ryffel, Florian; Houson, Hailey; Mohimani, Hosein; Kharbush, Jenan J; Zeng, Yi; Vorholt, Julia A; Kurita, Kenji L; Charusanti, Pep; McPhail, Kerry L; Nielsen, Kristian Fog; Vuong, Lisa; Elfeki, Maryam; Traxler, Matthew F; Engene, Niclas; Koyama, Nobuhiro; Vining, Oliver B; Baric, Ralph; Silva, Ricardo R; Mascuch, Samantha J; Tomasi, Sophie; Jenkins, Stefan; Macherla, Venkat; Hoffman, Thomas; Agarwal, Vinayak; Williams, Philip G; Dai, Jingqui; Neupane, Ram; Gurr, Joshua; Rodríguez, Andrés M C; Lamsa, Anne; Zhang, Chen; Dorrestein, Kathleen; Duggan, Brendan M; Almaliti, Jehad; Allard, Pierre-Marie; Phapale, Prasad; Nothias, Louis-Felix; Alexandrov, Theodore; Litaudon, Marc; Wolfender, Jean-Luc; Kyle, Jennifer E; Metz, Thomas O; Peryea, Tyler; Nguyen, Dac-Trung; VanLeer, Danielle; Shinn, Paul; Jadhav, Ajit; Müller, Rolf; Waters, Katrina M; Shi, Wenyuan; Liu, Xueting; Zhang, Lixin; Knight, Rob; Jensen, Paul R; Palsson, Bernhard O; Pogliano, Kit; Linington, Roger G; Gutiérrez, Marcelino; Lopes, Norberto P; Gerwick, William H; Moore, Bradley S; Dorrestein, Pieter C; Bandeira, Nuno

2016-08-09

The potential of the diverse chemistries present in natural products (NP) for biotechnology and medicine remains untapped because NP databases are not searchable with raw data and the NP community has no way to share data other than in published papers. Although mass spectrometry (MS) techniques are well-suited to high-throughput characterization of NP, there is a pressing need for an infrastructure to enable sharing and curation of data. We present Global Natural Products Social Molecular Networking (GNPS; http://gnps.ucsd.edu), an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. In GNPS, crowdsourced curation of freely available community-wide reference MS libraries will underpin improved annotations. Data-driven social-networking should facilitate identification of spectra and foster collaborations. We also introduce the concept of 'living data' through continuous reanalysis of deposited data.

Applications of pain-related evoked potentials and short-latency somatosensory evoked potentials in acupuncture research: a narrative review.

PubMed

Lin, Chi; Ma, Liangxiao; Zhu, Shipeng; Hu, Nijuan; Wang, Pei; Zhang, Peng; Qi, Dandan; Hao, Jie; Li, Jing; Xin, Siyuan; Zhu, Jiang

2015-10-01

To review and discuss the Chinese and English literature on the use of pain-related evoked potentials (PREP) and short-latency somatosensory EP (SLSEP) in acupuncture research. China National Knowledge Infrastructure Database and MEDLINE were searched for the following key words: acupuncture and PREP or SLSEP. Thirty-seven articles were included in the review. Researchers usually use PREPs to study the analgesic effect of acupuncture, observe influential factors, or for mechanistic exploration. In the SLSEP studies, researchers focused on response characteristics of acupuncture, acupoint specificity, and influential factors of the treatment. There were some problems with the study design and conclusions. Researchers could use PREP and SLSEP to objectively validate the effects of acupuncture and explore its mechanisms using nerve electrophysiology. Further studies can benefit from observing more acupoints' effects using PREPs or SLSEPs and investigating the placebo effect of acupuncture.

Citizen science, GIS, and the global hunt for landslides

NASA Astrophysics Data System (ADS)

Juang, C.; Stanley, T.; Kirschbaum, D.

2017-12-01

Landslides occur across the United States and around the world, causing much suffering and infrastructure damage. Many of these events have been recorded in the Global Landslide Catalog (GLC), a worldwide record of recently rainfall-triggered landslides. The extent and composition of this database has been affected by the limits of media search tools and available staffing. Citizen scientists could expand the effort exponentially, as well as diversify the knowledge base of the research team. In order to enable this collaboration the NASA Center for Climate Simulation has created a GIS portal for viewing, editing, and managing the GLC. The data is also exposed through a Rest API, for easy incorporation into geospatial websites by third parties. Future developments may include the ability to store polygons delineating large landslides, digitization from recent satellite imagery, and the establishment of a community for international landslide research that is open to both lay and academic users.

Mapping science communication scholarship in China: Content analysis on breadth, depth and agenda of published research.

PubMed

Xu, Linjia; Huang, Biaowen; Wu, Guosheng

2015-11-01

This study attempted to illuminate the cause and relation between government, scholars, disciplines, and societal aspects, presenting data from a content analysis of published research with the key word "science communication" (Symbol: see text) in the title or in the key words, including academic papers published in journals and dissertations from the China National Knowledge Infrastructure database. Of these, 572 articles were coded using categories that identified science topics, theory, authorship, and methods used in each study to examine the breadth and depth that Science Communication has achieved since its inception in China. This study explored the dominance of History and Philosophy of Science scholars rather than Communication scholars. We also explored how science communication research began from theories and concepts instead of science report analysis and the difficulties of the shift from public understanding of science to public engagement in China. © The Author(s) 2015.

Space Images for NASA JPL Android Version

NASA Technical Reports Server (NTRS)

Nelson, Jon D.; Gutheinz, Sandy C.; Strom, Joshua R.; Arca, Jeremy M.; Perez, Martin; Boggs, Karen; Stanboli, Alice

2013-01-01

This software addresses the demand for easily accessible NASA JPL images and videos by providing a user friendly and simple graphical user interface that can be run via the Android platform from any location where Internet connection is available. This app is complementary to the iPhone version of the application. A backend infrastructure stores, tracks, and retrieves space images from the JPL Photojournal and Institutional Communications Web server, and catalogs the information into a streamlined rating infrastructure. This system consists of four distinguishing components: image repository, database, server-side logic, and Android mobile application. The image repository contains images from various JPL flight projects. The database stores the image information as well as the user rating. The server-side logic retrieves the image information from the database and categorizes each image for display. The Android mobile application is an interfacing delivery system that retrieves the image information from the server for each Android mobile device user. Also created is a reporting and tracking system for charting and monitoring usage. Unlike other Android mobile image applications, this system uses the latest emerging technologies to produce image listings based directly on user input. This allows for countless combinations of images returned. The backend infrastructure uses industry-standard coding and database methods, enabling future software improvement and technology updates. The flexibility of the system design framework permits multiple levels of display possibilities and provides integration capabilities. Unique features of the software include image/video retrieval from a selected set of categories, image Web links that can be shared among e-mail users, sharing to Facebook/Twitter, marking as user's favorites, and image metadata searchable for instant results.

Federated Web-accessible Clinical Data Management within an Extensible NeuroImaging Database

PubMed Central

Keator, David B.; Wei, Dingying; Fennema-Notestine, Christine; Pease, Karen R.; Bockholt, Jeremy; Grethe, Jeffrey S.

2010-01-01

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development of data management infrastructure is further complicated by technical and experimental advances that drive modifications to existing protocols and acquisition of new types of research data to be incorporated into existing data management systems. In this paper, an extensible data management system for clinical neuroimaging studies is introduced: The Human Clinical Imaging Database (HID) and Toolkit. The database schema is constructed to support the storage of new data types without changes to the underlying schema. The complex infrastructure allows management of experiment data, such as image protocol and behavioral task parameters, as well as subject-specific data, including demographics, clinical assessments, and behavioral task performance metrics. Of significant interest, embedded clinical data entry and management tools enhance both consistency of data reporting and automatic entry of data into the database. The Clinical Assessment Layout Manager (CALM) allows users to create on-line data entry forms for use within and across sites, through which data is pulled into the underlying database via the generic clinical assessment management engine (GAME). Importantly, the system is designed to operate in a distributed environment, serving both human users and client applications in a service-oriented manner. Querying capabilities use a built-in multi-database parallel query builder/result combiner, allowing web-accessible queries within and across multiple federated databases. The system along with its documentation is open-source and available from the Neuroimaging Informatics Tools and Resource Clearinghouse (NITRC) site. PMID:20567938

Federated web-accessible clinical data management within an extensible neuroimaging database.

PubMed

Ozyurt, I Burak; Keator, David B; Wei, Dingying; Fennema-Notestine, Christine; Pease, Karen R; Bockholt, Jeremy; Grethe, Jeffrey S

2010-12-01

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development of data management infrastructure is further complicated by technical and experimental advances that drive modifications to existing protocols and acquisition of new types of research data to be incorporated into existing data management systems. In this paper, an extensible data management system for clinical neuroimaging studies is introduced: The Human Clinical Imaging Database (HID) and Toolkit. The database schema is constructed to support the storage of new data types without changes to the underlying schema. The complex infrastructure allows management of experiment data, such as image protocol and behavioral task parameters, as well as subject-specific data, including demographics, clinical assessments, and behavioral task performance metrics. Of significant interest, embedded clinical data entry and management tools enhance both consistency of data reporting and automatic entry of data into the database. The Clinical Assessment Layout Manager (CALM) allows users to create on-line data entry forms for use within and across sites, through which data is pulled into the underlying database via the generic clinical assessment management engine (GAME). Importantly, the system is designed to operate in a distributed environment, serving both human users and client applications in a service-oriented manner. Querying capabilities use a built-in multi-database parallel query builder/result combiner, allowing web-accessible queries within and across multiple federated databases. The system along with its documentation is open-source and available from the Neuroimaging Informatics Tools and Resource Clearinghouse (NITRC) site.

Network Interdependency Modeling for Risk Assessment on Built Infrastructure Systems

DTIC Science & Technology

2013-10-01

does begin to address infrastructure decay as a source of risk comes from the Department of Homeland Security (DHS). In 2009, the DHS Science and...network of connected edges and nodes. The National Research Council (2005) reported that the study of networks as a science and applications of...principles from this science are still in its early stages. As modern infrastructures have become more interlinked, knowledge of an infrastructure’s network

Databases for multilevel biophysiology research available at Physiome.jp.

PubMed

Asai, Yoshiyuki; Abe, Takeshi; Li, Li; Oka, Hideki; Nomura, Taishin; Kitano, Hiroaki

2015-01-01

Physiome.jp (http://physiome.jp) is a portal site inaugurated in 2007 to support model-based research in physiome and systems biology. At Physiome.jp, several tools and databases are available to support construction of physiological, multi-hierarchical, large-scale models. There are three databases in Physiome.jp, housing mathematical models, morphological data, and time-series data. In late 2013, the site was fully renovated, and in May 2015, new functions were implemented to provide information infrastructure to support collaborative activities for developing models and performing simulations within the database framework. This article describes updates to the databases implemented since 2013, including cooperation among the three databases, interactive model browsing, user management, version management of models, management of parameter sets, and interoperability with applications.

Geospatial data infrastructure: The development of metadata for geo-information in China

NASA Astrophysics Data System (ADS)

Xu, Baiquan; Yan, Shiqiang; Wang, Qianju; Lian, Jian; Wu, Xiaoping; Ding, Keyong

2014-03-01

Stores of geoscience records are in constant flux. These stores are continually added to by new information, ideas and data, which are frequently revised. The geoscience record is in restrained by human thought and technology for handling information. Conventional methods strive, with limited success, to maintain geoscience records which are readily susceptible and renewable. The information system must adapt to the diversity of ideas and data in geoscience and their changes through time. In China, more than 400,000 types of important geological data are collected and produced in geological work during the last two decades, including oil, natural gas and marine data, mine exploration, geophysical, geochemical, remote sensing and important local geological survey and research reports. Numerous geospatial databases are formed and stored in National Geological Archives (NGA) with available formats of MapGIS, ArcGIS, ArcINFO, Metalfile, Raster, SQL Server, Access and JPEG. But there is no effective way to warrant that the quality of information is adequate in theory and practice for decision making. The need for fast, reliable, accurate and up-to-date information by providing the Geographic Information System (GIS) communities are becoming insistent for all geoinformation producers and users in China. Since 2010, a series of geoinformation projects have been carried out under the leadership of the Ministry of Land and Resources (MLR), including (1) Integration, update and maintenance of geoinformation databases; (2) Standards research on clusterization and industrialization of information services; (3) Platform construction of geological data sharing; (4) Construction of key borehole databases; (5) Product development of information services. "Nine-System" of the basic framework has been proposed for the development and improvement of the geospatial data infrastructure, which are focused on the construction of the cluster organization, cluster service, convergence, database, product, policy, technology, standard and infrastructure systems. The development of geoinformation stores and services put forward a need for Geospatial Data Infrastructure (GDI) in China. In this paper, some of the ideas envisaged into the development of metadata in China are discussed.

Rhode Island Water Supply System Management Plan Database (WSSMP-Version 1.0)

USGS Publications Warehouse

Granato, Gregory E.

2004-01-01

In Rhode Island, the availability of water of sufficient quality and quantity to meet current and future environmental and economic needs is vital to life and the State's economy. Water suppliers, the Rhode Island Water Resources Board (RIWRB), and other State agencies responsible for water resources in Rhode Island need information about available resources, the water-supply infrastructure, and water use patterns. These decision makers need historical, current, and future water-resource information. In 1997, the State of Rhode Island formalized a system of Water Supply System Management Plans (WSSMPs) to characterize and document relevant water-supply information. All major water suppliers (those that obtain, transport, purchase, or sell more than 50 million gallons of water per year) are required to prepare, maintain, and carry out WSSMPs. An electronic database for this WSSMP information has been deemed necessary by the RIWRB for water suppliers and State agencies to consistently document, maintain, and interpret the information in these plans. Availability of WSSMP data in standard formats will allow water suppliers and State agencies to improve the understanding of water-supply systems and to plan for future needs or water-supply emergencies. In 2002, however, the Rhode Island General Assembly passed a law that classifies some of the WSSMP information as confidential to protect the water-supply infrastructure from potential terrorist threats. Therefore the WSSMP database was designed for an implementation method that will balance security concerns with the information needs of the RIWRB, suppliers, other State agencies, and the public. A WSSMP database was developed by the U.S. Geological Survey in cooperation with the RIWRB. The database was designed to catalog WSSMP information in a format that would accommodate synthesis of current and future information about Rhode Island's water-supply infrastructure. This report documents the design and implementation of the WSSMP database. All WSSMP information in the database is, ultimately, linked to the individual water suppliers and to a WSSMP 'cycle' (which is currently a 5-year planning cycle for compiling WSSMP information). The database file contains 172 tables - 47 data tables, 61 association tables, 61 domain tables, and 3 example import-link tables. This database is currently implemented in the Microsoft Access database software because it is widely used within and outside of government and is familiar to many existing and potential customers. Design documentation facilitates current use and potential modification for future use of the database. Information within the structure of the WSSMP database file (WSSMPv01.mdb), a data dictionary file (WSSMPDD1.pdf), a detailed database-design diagram (WSSMPPL1.pdf), and this database-design report (OFR2004-1231.pdf) documents the design of the database. This report includes a discussion of each WSSMP data structure with an accompanying database-design diagram. Appendix 1 of this report is an index of the diagrams in the report and on the plate; this index is organized by table name in alphabetical order. Each of these products is included in digital format on the enclosed CD-ROM to facilitate use or modification of the database.

ASIS '99 Knowledge: Creation, Organization and Use, Part III: Plenary Sessions.

ERIC Educational Resources Information Center

Proceedings of the ASIS Annual Meeting, 1999

1999-01-01

Describes the following sessions: "Knowledge Management: A Celebration of Humans Connected with Quality Information Objects (Plenary Session 1); "Intellectual Property Rights and the Emerging Information Infrastructure (Plenary Session 2); and "Knowledge: Creation, Organization and Use (Conference Wrap-up Session). (AEF)

Using Monte Carlo Simulation to Prioritize Key Maritime Environmental Impacts of Port Infrastructure

NASA Astrophysics Data System (ADS)

Perez Lespier, L. M.; Long, S.; Shoberg, T.

2016-12-01

This study creates a Monte Carlo simulation model to prioritize key indicators of environmental impacts resulting from maritime port infrastructure. Data inputs are derived from LandSat imagery, government databases, and industry reports to create the simulation. Results are validated using subject matter experts and compared with those returned from time-series regression to determine goodness of fit. The Port of Prince Rupert, Canada is used as the location for the study.

A National Virtual Specimen Database for Early Cancer Detection

NASA Technical Reports Server (NTRS)

Crichton, Daniel; Kincaid, Heather; Kelly, Sean; Thornquist, Mark; Johnsey, Donald; Winget, Marcy

2003-01-01

Access to biospecimens is essential for enabling cancer biomarker discovery. The National Cancer Institute's (NCI) Early Detection Research Network (EDRN) comprises and integrates a large number of laboratories into a network in order to establish a collaborative scientific environment to discover and validate disease markers. The diversity of both the institutions and the collaborative focus has created the need for establishing cross-disciplinary teams focused on integrating expertise in biomedical research, computational and biostatistics, and computer science. Given the collaborative design of the network, the EDRN needed an informatics infrastructure. The Fred Hutchinson Cancer Research Center, the National Cancer Institute,and NASA's Jet Propulsion Laboratory (JPL) teamed up to build an informatics infrastructure creating a collaborative, science-driven research environment despite the geographic and morphology differences of the information systems that existed within the diverse network. EDRN investigators identified the need to share biospecimen data captured across the country managed in disparate databases. As a result, the informatics team initiated an effort to create a virtual tissue database whereby scientists could search and locate details about specimens located at collaborating laboratories. Each database, however, was locally implemented and integrated into collection processes and methods unique to each institution. This meant that efforts to integrate databases needed to be done in a manner that did not require redesign or re-implementation of existing system

Chinese herbal medicines for benign thyroid nodules in adults.

PubMed

Wu, Wenxun; Yin, Detao; Yang, Weimin; Kan, Quancheng; Liu, Zhangsuo; Ren, Xiaoyan; Zhai, Chenguang; Zhang, Shengjun

2014-03-04

A thyroid nodule is a discrete lesion within the thyroid gland that might be palpable and is ultrasonographically distinct from the surrounding thyroid parenchyma. Thyroid nodules are more common as age increases and occur more frequently in women. Benign thyroid nodules often cause pressure symptoms and cosmetic complaints. In China and many other countries, doctors use Chinese herbal medicines (CHM) to treat thyroid nodules. To assess the effects of Chinese herbal medicines in the treatment of benign thyroid nodules in adults. Review authors searched the following electronic databases: The Cochrane Library, MEDLINE, EMBASE, the Chinese Biomedical Literature Database (CBM), the China National Knowledge Infrastructure (CNKI), VIP information (a Chinese database), WANFANG Data (a Chinese database), the Chinese Conference Papers Database and the Chinese Dissertation Database (all searched up to April 2013). Randomised controlled trials comparing CHM or CHM plus levothyroxine versus levothyroxine, placebo or no treatment in adults with benign thyroid nodules. Two review authors independently extracted data, assessed studies for risk of bias and evaluated overall study quality according to GRADE (Grading of Recommendations Assessment, Development and Evaluation), with differences resolved by consensus. We included one randomised trial involving 152 participants with a randomisation ratio of 2:1 (CHM vs no treatment). The trial applied adequate sequence generation; however, allocation concealment was unclear. Duration of treatment was three months, and follow-up six months. Our a priori defined outcomes of interest (i.e. nodule volume reduction ≥ 50%; pressure symptoms, cosmetic complaints or both; health-related quality of life; all-cause mortality; cancer occurrence; changes in number and size of thyroid nodules; changes in thyroid volume; and socioeconomic effects) were not investigated in the included study. Thyrotropin (TSH), thyroxine (T4) and tri-iodothyronine (T3) serum levels were normal in both groups before and after the trial was conducted. No adverse events were reported (low quality evidence). Firm evidence cannot be found to support or refute the use of Chinese herbal medicines for benign thyroid nodules in adults.

Effectiveness and safety of moxibustion treatment for non-specific lower back pain: protocol for a systematic review.

PubMed

Leem, Jungtae; Lee, Seunghoon; Park, Yeoncheol; Seo, Byung-Kwan; Cho, Yeeun; Kang, Jung Won; Lee, Yoon Jae; Ha, In-Hyuk; Lee, Hyun-Jong; Kim, Eun-Jung; Lee, Sanghoon; Nam, Dongwoo

2017-06-23

Many patients experience acute lower back pain that becomes chronic pain. The proportion of patients using complementary and alternative medicine to treat lower back is increasing. Even though several moxibustion clinical trials for lower back pain have been conducted, the effectiveness and safety of moxibustion intervention is controversial. The purpose of this study protocol for a systematic review is to evaluate the effectiveness and safety of moxibustion treatment for non-specific lower back pain patients. We will conduct an electronic search of several databases from their inception to May 2017, including Embase, PubMed, Cochrane Central Register of Controlled Trial, Allied and Complementary Medicine Database, Wanfang Database, Chongqing VIP Chinese Science and Technology Periodical Database, China National Knowledge Infrastructure Database, Korean Medical Database, Korean Studies Information Service System, National Discovery for Science Leaders, Oriental Medicine Advanced Searching Integrated System, the Korea Institute of Science and Technology, and KoreaMed. Randomised controlled trials investigating any type of moxibustion treatment will be included. The primary outcome will be pain intensity and functional status/disability due to lower back pain. The secondary outcome will be a global measurement of recovery or improvement, work-related outcomes, radiographic improvement of structure, quality of life, and adverse events (presence or absence). Risk ratio or mean differences with a 95% confidence interval will be used to show the effect of moxibustion therapy when it is possible to conduct a meta-analysis. This review will be published in a peer-reviewed journal and will be presented at an international academic conference for dissemination. Our results will provide current evidence of the effectiveness and safety of moxibustion treatment in non-specific lower back pain patients, and thus will be beneficial to patients, practitioners, and policymakers. CRD42016047468 in PROSPERO 2016. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

BioenergyKDF: Enabling Spatiotemporal Data Synthesis and Research Collaboration

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

Myers, Aaron T; Movva, Sunil; Karthik, Rajasekar

2014-01-01

The Bioenergy Knowledge Discovery Framework (BioenergyKDF) is a scalable, web-based collaborative environment for scientists working on bioenergy related research in which the connections between data, literature, and models can be explored and more clearly understood. The fully-operational and deployed system, built on multiple open source libraries and architectures, stores contributions from the community of practice and makes them easy to find, but that is just its base functionality. The BioenergyKDF provides a national spatiotemporal decision support capability that enables data sharing, analysis, modeling, and visualization as well as fosters the development and management of the U.S. bioenergy infrastructure, which ismore » an essential component of the national energy infrastructure. The BioenergyKDF is built on a flexible, customizable platform that can be extended to support the requirements of any user community especially those that work with spatiotemporal data. While there are several community data-sharing software platforms available, some developed and distributed by national governments, none of them have the full suite of capabilities available in BioenergyKDF. For example, this component-based platform and database independent architecture allows it to be quickly deployed to existing infrastructure and to connect to existing data repositories (spatial or otherwise). As new data, analysis, and features are added; the BioenergyKDF will help lead research and support decisions concerning bioenergy into the future, but will also enable the development and growth of additional communities of practice both inside and outside of the Department of Energy. These communities will be able to leverage the substantial investment the agency has made in the KDF platform to quickly stand up systems that are customized to their data and research needs.« less

Decontamination of chemical agents from drinking water infrastructure: a literature review and summary.

PubMed

Szabo, Jeff; Minamyer, Scott

2014-11-01

This report summarizes the current state of knowledge on the persistence of chemical contamination on drinking water infrastructure (such as pipes) along with information on decontamination should persistence occur. Decontamination options for drinking water infrastructure have been explored for some chemical contaminants, but important data gaps remain. In general, data on chemical persistence on drinking water infrastructure is available for inorganics such as arsenic and mercury, as well as select organics such as petroleum products, pesticides and rodenticides. Data specific to chemical warfare agents and pharmaceuticals was not found and data on toxins is scant. Future research suggestions focus on expanding the available chemical persistence data to other common drinking water infrastructure materials. Decontaminating agents that successfully removed persistent contamination from one infrastructure material should be used in further studies. Methods for sampling or extracting chemical agents from water infrastructure surfaces are needed. Published by Elsevier Ltd.

Marketing ITS infrastructure in the public interest

DOT National Transportation Integrated Search

2000-10-01

This guide, Volume 4 - Bibliographic and Non-bibliographic databases, is part of the International Guide to Highway Transportation Information - a multi-volume set of guides that provides highway transportation information resources for domestic and ...

Research Practices, Evaluation and Infrastructure in the Digital Environment

ERIC Educational Resources Information Center

Houghton, John W.

2004-01-01

This paper examines changing research practices in the digital environment and draws out implications for research evaluation and the development of research infrastructure. Reviews of the literature, quantitative indicators of research activities and our own field research in Australia suggest that a new mode of knowledge production is emerging,…

Changing Research Practices and Research Infrastructure Development

ERIC Educational Resources Information Center

Houghton, John W.

2005-01-01

This paper examines changing research practices in the digital environment and draws out implications for the development of research infrastructure. Reviews of the literature, quantitative indicators of research activities and our own field research in Australia suggest that there is a new mode of knowledge production emerging, changing research…

Tufts Health Sciences Database: lessons, issues, and opportunities.

PubMed

Lee, Mary Y; Albright, Susan A; Alkasab, Tarik; Damassa, David A; Wang, Paul J; Eaton, Elizabeth K

2003-03-01

The authors present their seven-year experience with developing the Tufts Health Sciences Database (Tufts HSDB), a database-driven information management system that combines the strengths of a digital library, content delivery tools, and curriculum management. They describe a future where online tools will provide a health sciences learning infrastructure that fosters the work of an increasingly interdisciplinary community of learners and allows content to be shared across institutions as well as with academic and commercial information repositories. The authors note the key partners in Tufts HSDB's success--the close collaboration of the health sciences library, educational affairs, and information technology staff. Tufts HSDB moved quickly from serving the medical curriculum to supporting Tufts' veterinary, dental, biomedical sciences, and nutrition schools, thus leveraging Tufts HSDB research and development with university-wide efforts including Internet2 middleware, wireless access, information security, and digital libraries. The authors identify major effects on teaching and learning, e.g., what is better taught with multimedia, how faculty preparation and student learning time can be more efficient and effective, how content integration for interdisciplinary teaching and learning is promoted, and how continuous improvement methods can be integrated. Also addressed are issues of faculty development, copyright and intellectual property, budgetary concerns, and coordinating IT across schools and hospitals. The authors describe Tufts' recent experience with sharing its infrastructure with other schools, and welcome inquiries from those wishing to explore national and international partnerships to create a truly open and integrated infrastructure for education across the health sciences.

AstroCloud, a Cyber-Infrastructure for Astronomy Research: Data Archiving and Quality Control

NASA Astrophysics Data System (ADS)

He, B.; Cui, C.; Fan, D.; Li, C.; Xiao, J.; Yu, C.; Wang, C.; Cao, Z.; Chen, J.; Yi, W.; Li, S.; Mi, L.; Yang, S.

2015-09-01

AstroCloud is a cyber-Infrastructure for Astronomy Research initiated by Chinese Virtual Observatory (China-VO) under funding support from NDRC (National Development and Reform commission) and CAS (Chinese Academy of Sciences)1(Cui et al. 2014). To archive the astronomical data in China, we present the implementation of the astronomical data archiving system (ADAS). Data archiving and quality control are the infrastructure for the AstroCloud. Throughout the data of the entire life cycle, data archiving system standardized data, transferring data, logging observational data, archiving ambient data, And storing these data and metadata in database. Quality control covers the whole process and all aspects of data archiving.

GIDL: a rule based expert system for GenBank Intelligent Data Loading into the Molecular Biodiversity database

PubMed Central

2012-01-01

Background In the scientific biodiversity community, it is increasingly perceived the need to build a bridge between molecular and traditional biodiversity studies. We believe that the information technology could have a preeminent role in integrating the information generated by these studies with the large amount of molecular data we can find in bioinformatics public databases. This work is primarily aimed at building a bioinformatic infrastructure for the integration of public and private biodiversity data through the development of GIDL, an Intelligent Data Loader coupled with the Molecular Biodiversity Database. The system presented here organizes in an ontological way and locally stores the sequence and annotation data contained in the GenBank primary database. Methods The GIDL architecture consists of a relational database and of an intelligent data loader software. The relational database schema is designed to manage biodiversity information (Molecular Biodiversity Database) and it is organized in four areas: MolecularData, Experiment, Collection and Taxonomy. The MolecularData area is inspired to an established standard in Generic Model Organism Databases, the Chado relational schema. The peculiarity of Chado, and also its strength, is the adoption of an ontological schema which makes use of the Sequence Ontology. The Intelligent Data Loader (IDL) component of GIDL is an Extract, Transform and Load software able to parse data, to discover hidden information in the GenBank entries and to populate the Molecular Biodiversity Database. The IDL is composed by three main modules: the Parser, able to parse GenBank flat files; the Reasoner, which automatically builds CLIPS facts mapping the biological knowledge expressed by the Sequence Ontology; the DBFiller, which translates the CLIPS facts into ordered SQL statements used to populate the database. In GIDL Semantic Web technologies have been adopted due to their advantages in data representation, integration and processing. Results and conclusions Entries coming from Virus (814,122), Plant (1,365,360) and Invertebrate (959,065) divisions of GenBank rel.180 have been loaded in the Molecular Biodiversity Database by GIDL. Our system, combining the Sequence Ontology and the Chado schema, allows a more powerful query expressiveness compared with the most commonly used sequence retrieval systems like Entrez or SRS. PMID:22536971

IDESSA: An Integrative Decision Support System for Sustainable Rangeland Management in Southern African Savannas

NASA Astrophysics Data System (ADS)

Meyer, Hanna; Authmann, Christian; Dreber, Niels; Hess, Bastian; Kellner, Klaus; Morgenthal, Theunis; Nauss, Thomas; Seeger, Bernhard; Tsvuura, Zivanai; Wiegand, Kerstin

2017-04-01

Bush encroachment is a syndrome of land degradation that occurs in many savannas including those of southern Africa. The increase in density, cover or biomass of woody vegetation often has negative effects on a range of ecosystem functions and services, which are hardly reversible. However, despite its importance, neither the causes of bush encroachment, nor the consequences of different resource management strategies to combat or mitigate related shifts in savanna states are fully understood. The project "IDESSA" (An Integrative Decision Support System for Sustainable Rangeland Management in Southern African Savannas) aims to improve the understanding of the complex interplays between land use, climate patterns and vegetation dynamics and to implement an integrative monitoring and decision-support system for the sustainable management of different savanna types. For this purpose, IDESSA follows an innovative approach that integrates local knowledge, botanical surveys, remote-sensing and machine-learning based time-series of atmospheric and land-cover dynamics, spatially explicit simulation modeling and analytical database management. The integration of the heterogeneous data will be implemented in a user oriented database infrastructure and scientific workflow system. Accessible via web-based interfaces, this database and analysis system will allow scientists to manage and analyze monitoring data and scenario computations, as well as allow stakeholders (e. g. land users, policy makers) to retrieve current ecosystem information and seasonal outlooks. We present the concept of the project and show preliminary results of the realization steps towards the integrative savanna management and decision-support system.

[Effect of premolar extractions on third molar angulation changes: a meta-analysis].

PubMed

Fan, Linlin; Kuang, Qin; Tang, Yujuan; Qin, Pu

2015-03-01

To assess the effect of premolar extractions on third molar angulation changes in orthodontic patients. The Cochrane library, PubMed, Embase, China Science and Technology Periodical Database, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM) and Wanfang database were searched from January 1, 1990 to May 20, 2014 to identify all the studies about third molar angulation changes in orthodontic patients with or without premolars extraction, which was assigned as a extraction group and a control group. Th e extraction group was further divided into a fi rst premolar extraction subgroup and a second premolar extraction subgroup. Literature filtering, data extraction and methodological quality evaluation were finished independently by two researchers. After cross checking, the disagreements were solved by discussion. Meta-analysis was carried out by RevMan 5.3.3 software. Ten studies involving 712 patients were included. Meta-analysis revealed that: compared with the control group, the changes of third molar angulation in maxillary and mandible in the extraction group were statistically significantly different (all P<0.05); the difference in angulation between the two groups was about 5.19° in maxillary and 3.55° in mandibul. As for the premolar extraction subgroups, there was no significant difference in mandibular third molar angulation between them (P>0.05). The orthodontic treatment involving first or second premolar extractions can improve the maxillary third molar angulation, and the second premolar extraction is the best option.

[Comparison between the effect of endoscopic-assisted low temperature plasma and electric planer on the treatment of adenoid hypertrophy: a Meta-analysis].

PubMed

Xie, Shaobing; Zhang, Yanni; Xu, Zhenhang; Zhang, Jianhui; Wu, Xuewen; Sun, Hong

2017-06-28

To compare the effect of endoscopic-assisted low temperature plasma (ELTP) and electric planer (EP) on the treatment of adenoid hypertrophy.
 Methods: We searched China National Knowledge Infrastructure (CNKI), Wanfang Database, Weipu Database, Chinese Biomedical Literature (CMB), PubMed, Embase, Cochrane Database, and collected the randomized controlled studies regarding the effect of ELTP and EP on the treatment of adenoid hypertrophy from January 2007 to June 2016. Methodologies were used to evaluate the included studies, and Meta-analysis was performed by Revman 5.2.
 Results: Thirteen studies including 1 448 patients fulfilled the study requirement. Seven hundred and twenty-two patients were treated with ELTP, and 726 patients were treated with EP. The Meta-analysis showed: compared with EP, ELTP could improve the cure rare (OR=3.19, 95% CI 1.42 to 7.15, P=0.005), reduce the blood loss during surgery (MD=-20.35, 95% CI -20.84 to -19.87, P<0.001), shorten the operation time (MD=-15.71, 95% CI -18.06 to -12.17, P<0.001), and reduce the incidence of complications (OR=0.13, 95% CI 0.06 to 0.30, P<0.001), while there was no difference between the 2 groups in the postoperative residual rate of adenoid, postoperative hemorrhage rate and the rate of torus tubarius injury.
 Conclusion: Comparing with EP, ELTP shows more advantages in the adenoidectomy.

Effect of various Danshen injections on patients with coronary heart disease after percutaneous coronary intervention: A protocol for a systematic review and network meta-analysis.

PubMed

Zhu, Zehao; Wang, Yuanping; Liao, Weilin; Li, Huimin; Wang, Dawei

2018-06-01

Patients with coronary heart disease (CHD) who undergo percutaneous coronary intervention (PCI) have a certain risk of vascular complications, including coronary restenosis and thrombosis. Many recent randomized controlled trials have reported that Danshen injection (DSI) combined with conventional Western medicine can significantly reduce the occurrence of major cardiovascular adverse events in patients with CHD after PCI. However, there are many types of DSIs, and no study has yet compared each type. Therefore, we propose a study protocol for the systematic evaluation of the efficacy of various DSIs in the treatment of CHD after PCI. We will search the following electronic databases for randomized controlled trials evaluating the effect of DSI in patients with CHD after PCI: PubMed, Embase, Web of Science, Cochrane Library, Scopus, Ovid Evidence-Based Medicine Reviews, China National Knowledge Infrastructure, and Chinese Biomedicine Literature Database. Each database will be searched from inception to April 2018. The entire process will include study selection, data extraction, risk of bias assessment, pairwise meta-analyses, and network meta-analyses. This proposed study will compare the efficacy of different DSIs in the treatment of patients with CHD after PCI. The outcomes will include major cardiovascular adverse events and left ventricular ejection fraction. This proposed systematic review will evaluate the different advantages of various types of DSIs in the treatment of patients with CHD after PCI. PROSPERO (registration number: CRD42018092705).

Effects of Ginger (Zingiber officinale Roscoe) on Type 2 Diabetes Mellitus and Components of the Metabolic Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

PubMed Central

Song, Zhixiu

2018-01-01

Objective This article aims to assess the effects of ginger (Zingiber officinale Roscoe) on type 2 diabetes mellitus (T2DM) and/or components of the metabolic syndrome (MetS). Methods Electronic literature was searched in PubMed, Embase, the Cochrane Library, Chinese Biomedical Database, China National Knowledge Infrastructure, and Wanfang Database from inception of the database to May 19, 2017, and supplemented by browsing reference lists of potentially eligible articles. Randomized controlled trials on research subjects were included. Data were extracted as a mean difference (MD) and 95% confidence interval (CI). Subgroup analysis of fasting blood glucose (FBG) was performed. Results 10 studies met the inclusion criteria with a total of 490 individuals. Ginger showed a significant beneficial effect in glucose control and insulin sensitivity. The pooled weighted MD of glycosylated hemoglobin (HbA1c) was −1.00, (95% CI: −1.56, −0.44; P < 0.001). Subgroup analysis revealed that ginger obviously reduced FBG in T2DM patients (−21.24; 95% CI: −33.21, −9.26; P < 0.001). Meanwhile, the significant effects of improvement of lipid profile were observed. Most analyses were not statistically heterogeneous. Conclusion Based on the negligible side effects and obvious ameliorative effects on glucose control, insulin sensitivity, and lipid profile, ginger may be a promising adjuvant therapy for T2DM and MetS. PMID:29541142

Control Infrastructure for a Pulsed Ion Accelerator

NASA Astrophysics Data System (ADS)

Persaud, A.; Regis, M. J.; Stettler, M. W.; Vytla, V. K.

2016-10-01

We report on updates to the accelerator controls for the Neutralized Drift Compression Experiment II, a pulsed induction-type accelerator for heavy ions. The control infrastructure is built around a LabVIEW interface combined with an Apache Cassandra backend for data archiving. Recent upgrades added the storing and retrieving of device settings into the database, as well as ZeroMQ as a message broker that replaces LabVIEW's shared variables. Converting to ZeroMQ also allows easy access via other programming languages, such as Python.

Control Infrastructure for a Pulsed Ion Accelerator

DOE PAGES

Persaud, A.; Regis, M. J.; Stettler, M. W.; ...

2016-07-27

We report on updates to the accelerator controls for the Neutralized Drift Compression Experiment II, a pulsed induction-type accelerator for heavy ions. The control infrastructure is built around a LabVIEW interface combined with an Apache Cassandra backend for data archiving. Recent upgrades added the storing and retrieving of device settings into the database, as well as ZeroMQ as a message broker that replaces LabVIEW's shared variables. Converting to ZeroMQ also allows easy access via other programming languages, such as Python.

JNDMS Task Authorization 2 Report

DTIC Science & Technology

2013-10-01

uses Barnyard to store alarms from all DREnet Snort sensors in a MySQL database. Barnyard is an open source tool designed to work with Snort to take...Technology ITI Information Technology Infrastructure J2EE Java 2 Enterprise Edition JAR Java Archive. This is an archive file format defined by Java ...standards. JDBC Java Database Connectivity JDW JNDMS Data Warehouse JNDMS Joint Network and Defence Management System JNDMS Joint Network Defence and

CampusGIS of the University of Cologne: a tool for orientation, navigation, and management

NASA Astrophysics Data System (ADS)

Baaser, U.; Gnyp, M. L.; Hennig, S.; Hoffmeister, D.; Köhn, N.; Laudien, R.; Bareth, G.

2006-10-01

The working group for GIS and Remote Sensing at the Department of Geography at the University of Cologne has established a WebGIS called CampusGIS of the University of Cologne. The overall task of the CampusGIS is the connection of several existing databases at the University of Cologne with spatial data. These existing databases comprise data about staff, buildings, rooms, lectures, and general infrastructure like bus stops etc. These information were yet not linked to their spatial relation. Therefore, a GIS-based method is developed to link all the different databases to spatial entities. Due to the philosophy of the CampusGIS, an online-GUI is programmed which enables users to search for staff, buildings, or institutions. The query results are linked to the GIS database which allows the visualization of the spatial location of the searched entity. This system was established in 2005 and is operational since early 2006. In this contribution, the focus is on further developments. First results of (i) including routing services in, (ii) programming GUIs for mobile devices for, and (iii) including infrastructure management tools in the CampusGIS are presented. Consequently, the CampusGIS is not only available for spatial information retrieval and orientation. It also serves for on-campus navigation and administrative management.

Global Thermal Power Plants Database: Unit-Based CO2, SO2, NOX and PM2.5 Emissions in 2010

NASA Astrophysics Data System (ADS)

Tong, D.; Qiang, Z.; Davis, S. J.

2016-12-01

There are more than 30,000 thermal power plants now operating worldwide, reflecting a tremendously diverse infrastructure that includes units burning oil, natural gas, coal and biomass and ranging in capacity from <1MW to >1GW. Although the electricity generated by this infrastructure is vital to economic activities across the world, it also produces more CO2 and air pollution emissions than any other industry sector. Here we present a new database of global thermal power-generating units and their emissions as of 2010, GPED (Global Power Emissions Database), including the detailed unit information of installed capacity, operation year, geographic location, fuel type and control measures for more than 70000 units. In this study, we have compiled, combined, and harmonized the available underlying data related to thermal power-generating units (e.g. eGRID of USA, CPED of China and published Indian power plants database), and then analyzed the generating capacity, capacity factor, fuel type, age, location, and installed pollution-control technology in order to determine those units with disproportionately high levels of emissions. In total, this work is of great importance for improving spatial distribution of global thermal power plants emissions and exploring their environmental impacts at global scale.

15 CFR Supplement No. 8 to Part 742 - Self-Classification Report for Encryption Items

Code of Federal Regulations, 2011 CFR

2011-01-01

... forensics (v) Cryptographic accelerator (vi) Data backup and recovery (vii) Database (viii) Disk/drive... (MAN) (xxii) Modem (xxiii) Network convergence or infrastructure n.e.s. (xxiv) Network forensics (xxv...

15 CFR Supplement No. 8 to Part 742 - Self-Classification Report for Encryption Items

Code of Federal Regulations, 2014 CFR

2014-01-01

... forensics (v) Cryptographic accelerator (vi) Data backup and recovery (vii) Database (viii) Disk/drive... (MAN) (xxii) Modem (xxiii) Network convergence or infrastructure n.e.s. (xxiv) Network forensics (xxv...

15 CFR Supplement No. 8 to Part 742 - Self-Classification Report for Encryption Items

Code of Federal Regulations, 2013 CFR

2013-01-01

... forensics (v) Cryptographic accelerator (vi) Data backup and recovery (vii) Database (viii) Disk/drive... (MAN) (xxii) Modem (xxiii) Network convergence or infrastructure n.e.s. (xxiv) Network forensics (xxv...

15 CFR Supplement No. 8 to Part 742 - Self-Classification Report for Encryption Items

Code of Federal Regulations, 2012 CFR

2012-01-01

... forensics (v) Cryptographic accelerator (vi) Data backup and recovery (vii) Database (viii) Disk/drive... (MAN) (xxii) Modem (xxiii) Network convergence or infrastructure n.e.s. (xxiv) Network forensics (xxv...

Environmental impact assessment of rail infrastructure.

DOT National Transportation Integrated Search

2016-01-29

This project resulted in three products: a comprehensive "Sustainable Rail Checklist," a rail planning GIS database, and a web GIS tool that integrates sustainability metrics and facilitates a rapid assessment before a formal NEPA process is implemen...

49 CFR 800.2 - Organization.

Code of Federal Regulations, 2010 CFR

2010-10-01

... Board's information technology infrastructure, including computer systems, networks, databases, and... with information regarding the Safety Board's activities, programs and objectives; supplies the public, the transportation industry and the news media with current, accurate information concerning the work...

Assessing the SunGuide and STEWARD databases.

DOT National Transportation Integrated Search

2017-02-01

This project evaluated the feasibility of using the existing software and data bases as platforms : for analyzing the attributes of electric vehicles within present and future transportation : infrastructure projects and models. The Florida based Sun...

Integration of Oracle and Hadoop: Hybrid Databases Affordable at Scale

NASA Astrophysics Data System (ADS)

Canali, L.; Baranowski, Z.; Kothuri, P.

2017-10-01

This work reports on the activities aimed at integrating Oracle and Hadoop technologies for the use cases of CERN database services and in particular on the development of solutions for offloading data and queries from Oracle databases into Hadoop-based systems. The goal and interest of this investigation is to increase the scalability and optimize the cost/performance footprint for some of our largest Oracle databases. These concepts have been applied, among others, to build offline copies of CERN accelerator controls and logging databases. The tested solution allows to run reports on the controls data offloaded in Hadoop without affecting the critical production database, providing both performance benefits and cost reduction for the underlying infrastructure. Other use cases discussed include building hybrid database solutions with Oracle and Hadoop, offering the combined advantages of a mature relational database system with a scalable analytics engine.

Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service

PubMed Central

Oh, Sungyoung; Cha, Jieun; Ji, Myungkyu; Kang, Hyekyung; Kim, Seok; Heo, Eunyoung; Han, Jong Soo; Kang, Hyunggoo; Chae, Hoseok; Hwang, Hee

2015-01-01

Objectives To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. Methods We analyzed the architecture requirements of an HSP, including the interface, business services, cloud SaaS, quality attributes, privacy and security, and multi-lingual capacity. For cloud-based SaaS services, we focused on Clinical Decision Service (CDS) content services, basic functional services, and mobile services. Microsoft's Azure cloud computing for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) was used. Results The functional and software views of an HSP were designed in a layered architecture. External systems can be interfaced with the HSP using SOAP and REST/JSON. The multi-tenancy model of the HSP was designed as a shared database, with a separate schema for each tenant through a single application, although healthcare data can be physically located on a cloud or in a hospital, depending on regulations. The CDS services were categorized into rule-based services for medications, alert registration services, and knowledge services. Conclusions We expect that cloud-based HSPs will allow small and mid-sized hospitals, in addition to large-sized hospitals, to adopt information infrastructures and health information technology with low system operation and maintenance costs. PMID:25995962

Tuberculosis diagnosis support analysis for precarious health information systems.

PubMed

Orjuela-Cañón, Alvaro David; Camargo Mendoza, Jorge Eliécer; Awad García, Carlos Enrique; Vergara Vela, Erika Paola

2018-04-01

Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in developing countries such as Colombia, where the resources and infrastructure are limited, new fast and less expensive strategies are increasingly needed. Artificial neural networks are computational intelligence techniques that can be used in this kind of problems and offer additional support in the tuberculosis diagnosis process, providing a tool to medical staff to make decisions about management of subjects under suspicious of tuberculosis. A database extracted from 105 subjects with precarious information of people under suspect of pulmonary tuberculosis was used in this study. Data extracted from sex, age, diabetes, homeless, AIDS status and a variable with clinical knowledge from the medical personnel were used. Models based on artificial neural networks were used, exploring supervised learning to detect the disease. Unsupervised learning was used to create three risk groups based on available information. Obtained results are comparable with traditional techniques for detection of tuberculosis, showing advantages such as fast and low implementation costs. Sensitivity of 97% and specificity of 71% where achieved. Used techniques allowed to obtain valuable information that can be useful for physicians who treat the disease in decision making processes, especially under limited infrastructure and data. Copyright © 2018 Elsevier B.V. All rights reserved.

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

PubMed

Deist, Timo M; Jochems, A; van Soest, Johan; Nalbantov, Georgi; Oberije, Cary; Walsh, Seán; Eble, Michael; Bulens, Paul; Coucke, Philippe; Dries, Wim; Dekker, Andre; Lambin, Philippe

2017-06-01

Machine learning applications for personalized medicine are highly dependent on access to sufficient data. For personalized radiation oncology, datasets representing the variation in the entire cancer patient population need to be acquired and used to learn prediction models. Ethical and legal boundaries to ensure data privacy hamper collaboration between research institutes. We hypothesize that data sharing is possible without identifiable patient data leaving the radiation clinics and that building machine learning applications on distributed datasets is feasible. We developed and implemented an IT infrastructure in five radiation clinics across three countries (Belgium, Germany, and The Netherlands). We present here a proof-of-principle for future 'big data' infrastructures and distributed learning studies. Lung cancer patient data was collected in all five locations and stored in local databases. Exemplary support vector machine (SVM) models were learned using the Alternating Direction Method of Multipliers (ADMM) from the distributed databases to predict post-radiotherapy dyspnea grade [Formula: see text]. The discriminative performance was assessed by the area under the curve (AUC) in a five-fold cross-validation (learning on four sites and validating on the fifth). The performance of the distributed learning algorithm was compared to centralized learning where datasets of all institutes are jointly analyzed. The euroCAT infrastructure has been successfully implemented in five radiation clinics across three countries. SVM models can be learned on data distributed over all five clinics. Furthermore, the infrastructure provides a general framework to execute learning algorithms on distributed data. The ongoing expansion of the euroCAT network will facilitate machine learning in radiation oncology. The resulting access to larger datasets with sufficient variation will pave the way for generalizable prediction models and personalized medicine.

Critical Infrastructure Protection- Los Alamos National Laboratory

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

Bofman, Ryan K.

Los Alamos National Laboratory (LANL) has been a key facet of Critical National Infrastructure since the nuclear bombing of Hiroshima exposed the nature of the Laboratory’s work in 1945. Common knowledge of the nature of sensitive information contained here presents a necessity to protect this critical infrastructure as a matter of national security. This protection occurs in multiple forms beginning with physical security, followed by cybersecurity, safeguarding of classified information, and concluded by the missions of the National Nuclear Security Administration.

Universities--Drivers for Regional Innovation Culture and Competitiveness

ERIC Educational Resources Information Center

Muresan, Mihaela; Gogu, Emilia

2010-01-01

The actual infrastructure of the information society sustains the globalization trend and increases the importance of the information and knowledge. The development of the knowledge society is the direct consequence of the mix of economic, social and cultural processes, which involve the knowledge creation and its equitable distribution, access…

Knowledge Infrastructures for Solar Cities

ERIC Educational Resources Information Center

Vanderburg, Willem H.

2006-01-01

The evolution of contemporary cities into solar cities will be affected by the decisions of countless specialists according to an established intellectual and professional division of labor. These specialists belong to groups responsible for advancing and applying a body of knowledge, and jointly, these bodies of knowledge make up a knowledge…

Towards the Reconciliation of Knowledge Management and e-Collaboration Systems

ERIC Educational Resources Information Center

Le Dinh, Thang; Rinfret, Louis; Raymond, Louis; Dong Thi, Bich-Thuy

2013-01-01

Purpose: The purpose of this paper is to propose an intelligent infrastructure for the reconciliation of knowledge management and e-collaboration systems. Design/Methodology/Approach:Literature on e-collaboration, information management, knowledge management, learning process, and intellectual capital is mobilised in order to build the conceptual…

A spatial database for landslides in northern Bavaria: A methodological approach

NASA Astrophysics Data System (ADS)

Jäger, Daniel; Kreuzer, Thomas; Wilde, Martina; Bemm, Stefan; Terhorst, Birgit

2018-04-01

Landslide databases provide essential information for hazard modeling, damages on buildings and infrastructure, mitigation, and research needs. This study presents the development of a landslide database system named WISL (Würzburg Information System on Landslides), currently storing detailed landslide data for northern Bavaria, Germany, in order to enable scientific queries as well as comparisons with other regional landslide inventories. WISL is based on free open source software solutions (PostgreSQL, PostGIS) assuring good correspondence of the various softwares and to enable further extensions with specific adaptions of self-developed software. Apart from that, WISL was designed to be particularly compatible for easy communication with other databases. As a central pre-requisite for standardized, homogeneous data acquisition in the field, a customized data sheet for landslide description was compiled. This sheet also serves as an input mask for all data registration procedures in WISL. A variety of "in-database" solutions for landslide analysis provides the necessary scalability for the database, enabling operations at the local server. In its current state, WISL already enables extensive analysis and queries. This paper presents an example analysis of landslides in Oxfordian Limestones in the northeastern Franconian Alb, northern Bavaria. The results reveal widely differing landslides in terms of geometry and size. Further queries related to landslide activity classifies the majority of the landslides as currently inactive, however, they clearly possess a certain potential for remobilization. Along with some active mass movements, a significant percentage of landslides potentially endangers residential areas or infrastructure. The main aspect of future enhancements of the WISL database is related to data extensions in order to increase research possibilities, as well as to transfer the system to other regions and countries.

Acupuncture for common cold: A systematic review and meta-analyze protocol.

PubMed

Cheng, Ying; Gao, Bifeng; Jin, Yuhao; Xu, Na; Guo, Taipin

2018-03-01

The common cold (CC) is the most common syndromes of infection in human beings, but there is currently no special treatment. For this reason, acupuncture is used to relieve the symptoms of the CC. Acupuncture is a traditional Chinese medicine (TCM) therapy that has been used for over 2000 years to treat various diseases. However, few studies have provided evidence for the efficacy and safety of acupuncture for the CC. This study aims to evaluate the effectiveness and safety of acupuncture on CC periods and its symptoms. The following electronic databases will be searched for studies conducted through January 1, 2019: Web of Science, Cochrane Library, EBASE, World Health Organization International Clinical Trials Registry Platform, Springer, Wan-fang database, Chinese Biomedical Literature Database (CBM), Chinese Scientific Journal Database (VIP), China National Knowledge Infrastructure (CNKI), and other sources. All randomized controlled trials on acupuncture for common cold will be included. Risk of bias will be assessed using the Cochrane risk of bias assessment tool, while RevMan V.5.3.5 software will be implemented for the assessment of bias risk, data synthesis, subgroup analysis, and meta-analyses if conditions are met. Continuous outcomes will be presented as mean difference (MD) or standard mean difference (SMD), while dichotomous data will be expressed as relative risk. A high-quality synthesis of current evidence of acupuncture for CC will be stated from several aspect using subjective reports and objective measures of performance. The reduction rate of common cold symptoms after initial treatment, resolved cold symptoms, and reduced cold duration will be collected. This protocol will present the evidence of whether acupuncture therapy is an effective intervention for CC.

Quality Assessment of Clinical Practice Guidelines for Respiratory Diseases in China: A Systematic Appraisal.

PubMed

Jiang, Mei; Liao, Li-Yue; Liu, Xiao-Qing; He, Wei-Qun; Guan, Wei-Jie; Chen, Hao; Li, Yi-Min

2015-09-01

There has been a significant increase in the publication of clinical practice guidelines (CPGs) for respiratory diseases in China. However, little is known about the quality and potential impacts of these CPGs. Our objective was to critically evaluate the quality of Chinese CPGs for respiratory diseases that were published in peer-reviewed medical journals. A systematic search of scientific literature published between 1979 and 2013 was undertaken to identify and select CPGs that were related to respiratory diseases. Four Chinese databases (the Chinese Biomedical Literature database [CBM], the China National Knowledge Infrastructure [CNKI], the VIP database, and the WANFANG database) were used. The quality of eligible guidelines was assessed independently by four reviewers using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument. The overall agreement among reviewers was evaluated using an intraclass correlation coefficient. A total of 109 guidelines published in 27 medical journals from 1979 to 2013 were evaluated. The overall agreement among reviewers was considered good (intraclass correlation coefficient, 0.838; 95% CI, 0.812-0.862). The scores of the six AGREE domains were low: 57.3% for scope and purpose (range, 4.2%-80.5%), 23.8% for stakeholder involvement (range, 2.8%-54.2%), 7.7% for rigor of development (range, 0%-27.1%), 59.8% for clarity and presentation (range, 22.2%-80.6%), 10.9% for applicability (range, 0%-22.9%), and 0.6% for editorial independence (range, 0%-16.7%). Scores for all guidelines were below 60%, and only three guidelines (2.8%) were recommended for clinical practice with modifications. The quality of the guidelines was low, and stakeholder involvement, rigor of development, applicability, and editorial independence should be considered in the future development of CPGs for respiratory diseases in China.

Effect of protraction facemask on the temporomandibular joint: a systematic review.

PubMed

Huang, Xinqi; Cen, Xiao; Liu, Jun

2018-03-12

The aim of this study was to assess the influence of protraction facemask (PFM) on temporomandibular joint (TMJ) of skeletal Class III malocclusion patients. Literature searches were carried out electronically in five English and three Chinese databases (Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials, PubMed, Embase, MEDLINE (via Ovid), Chinese Biomedical Literature Database, China National Knowledge Infrastructure, and VIP Database). The date of the most recent search was 22 March 2017. Randomized controlled trials, controlled clinical trials, cohort studies, and before-after studies comparing the effect of PFM and other treatments on TMJ were included. The data were collected and extracted by three authors. The risk of bias in the RCTs was assessed in accordance with the Cochrane Handbook for Systematic Reviews of Interventions. For the nonrandomized studies, the risk of bias was judged with Newcastle-Ottawa Scale. For the 261 articles identified, 13 studies with 522 participants were included for the final qualitative analysis. Three studies were graded as high value of evidence, while seven studies and the other three studies were graded as moderate value and low value respectively. According to the available evidence, PFM contributed to the significant increase of CondAx-SBL and the significant decrease of CondAx-ML. Thin-plate spline (TPS) analysis showed a horizontal compression in condyles. Condyles tended to move superiorly and posteriorly. Concerning the occurrence of temporomandibular disorders (TMD), PFM was not involved in aggravating TMJ symptoms and signs. Clinical evidence suggests that PFM might contribute to the morphologic adaptation of TMJs and displacement of condyles, and PFM may well be not a risk factor for the development of TMD.

Efficacy and safety of acupuncture therapy for nerve deafness: a meta-analysis of randomized controlled trials.

PubMed

Jiang, Yuebo; Shi, Xian; Tang, Yan

2015-01-01

Acupuncture is one of the important parts of therapeutic methods in traditional Chinese medicine, and has been widely used for the treatment of nerve deafness in recent years. The current study was to evaluate the efficacy and safety of acupuncture therapy for nerve deafness compared with conventional medicine therapy. PubMed, the Chinese National Knowledge Infrastructure Database, the Chinese Science and Technology Periodical Database, the Chinese Biomedical Database, the Wanfang Database were searched for articles published to identify randomized controlled trials evaluating efficacy and side effects between acupuncture and conventional medicine therapies up to 2013/06. A total of 12 studies, including 527 patients assessed the efficacy and safety of acupuncture therapy for nerve deafness. Overall, the efficacy of acupuncture was significantly better than that of the conventional western medication (RR: 1.54, 95% CI: 1.36-1.74) or traditional Chinese medicines (RR: 1.51, 95% CI: 1.24-1.84), and the efficacy of acupuncture in combination with conventional western medication or traditional Chinese medicine was better than that of the conventional western medication alone (RR: 1.51, 95% CI: 1.29-1.77) or traditional Chinese medicine alone (RR: 1.59, 95% CI: 1.30-1.95). Based on the comparison of number of deafness patients who were completely cured, the efficacy of acupuncture in combination with traditional Chinese medicines was better than that of traditional Chinese medicine alone (RR: 4.62, 95% CI: 1.38-15.47). Acupuncture therapy can significantly improve the hearing of patients with nerve deafness, and the efficacy of acupuncture in combination with medication is superior to medication alone.

Design storm prediction and hydrologic modeling using a web-GIS approach on a free-software platform

NASA Astrophysics Data System (ADS)

Castrogiovanni, E. M.; La Loggia, G.; Noto, L. V.

2005-09-01

The aim of this work has been to implement a set of procedures useful to automatise the evaluation, the design storm prediction and the flood discharge associated with a selected risk level. For this purpose a Geographic Information System has been implemented using Grass 5.0. One of the main topics of such a system is a georeferenced database of the highest intensity rainfalls and their assigned duration recorded in Sicily. This database contains the main characteristics for more than 250 raingauges, as well as the values of intense rainfall events recorded by these raingauges. These data are managed through the combined use of the PostgreSQL and GRASS-GIS 5.0 databases. Some of the best-known probability distributions have been implemented within the Geographical Information System in order to determine the point and/or areal rain values once duration and return period have been defined. The system also includes a hydrological module necessary to compute the probable flow, for a selected risk level, at points chosen by the user. A peculiarity of the system is the possibility to querying the model using a web-interface. The assumption is that the rising needs of geographic information, and dealing with the rising importance of peoples participation in the decision process, requires new forms for the diffusion of territorial data. Furthermore, technicians as well as public administrators needs to get customized and specialist data to support planning, particularly in emergencies. In this perspective a Web-interface has been developed for the hydrologic system. The aim is to allow remote users to access a centralized database and processing-power to serve the needs of knowledge without complex hardware/software infrastructures.

Database systems for knowledge-based discovery.

PubMed

Jagarlapudi, Sarma A R P; Kishan, K V Radha

2009-01-01

Several database systems have been developed to provide valuable information from the bench chemist to biologist, medical practitioner to pharmaceutical scientist in a structured format. The advent of information technology and computational power enhanced the ability to access large volumes of data in the form of a database where one could do compilation, searching, archiving, analysis, and finally knowledge derivation. Although, data are of variable types the tools used for database creation, searching and retrieval are similar. GVK BIO has been developing databases from publicly available scientific literature in specific areas like medicinal chemistry, clinical research, and mechanism-based toxicity so that the structured databases containing vast data could be used in several areas of research. These databases were classified as reference centric or compound centric depending on the way the database systems were designed. Integration of these databases with knowledge derivation tools would enhance the value of these systems toward better drug design and discovery.

Towards Networked Knowledge: The Learning Registry, an Infrastructure for Sharing Online Learning Resources

ERIC Educational Resources Information Center

Lee, Ashley; Hobson, Joe; Bienkowski, Marie; Midgley, Steve; Currier, Sarah; Campbell, Lorna M.; Novoselova, Tatiana

2012-01-01

In this article, the authors describe an open-source, open-data digital infrastructure for sharing information about open educational resources (OERs) across disparate systems and platforms. The Learning Registry, which began as a project funded by the U.S. Departments of Education and Defense, currently has an active international community…

A semantic problem solving environment for integrative parasite research: identification of intervention targets for Trypanosoma cruzi.

PubMed

Parikh, Priti P; Minning, Todd A; Nguyen, Vinh; Lalithsena, Sarasi; Asiaee, Amir H; Sahoo, Satya S; Doshi, Prashant; Tarleton, Rick; Sheth, Amit P

2012-01-01

Research on the biology of parasites requires a sophisticated and integrated computational platform to query and analyze large volumes of data, representing both unpublished (internal) and public (external) data sources. Effective analysis of an integrated data resource using knowledge discovery tools would significantly aid biologists in conducting their research, for example, through identifying various intervention targets in parasites and in deciding the future direction of ongoing as well as planned projects. A key challenge in achieving this objective is the heterogeneity between the internal lab data, usually stored as flat files, Excel spreadsheets or custom-built databases, and the external databases. Reconciling the different forms of heterogeneity and effectively integrating data from disparate sources is a nontrivial task for biologists and requires a dedicated informatics infrastructure. Thus, we developed an integrated environment using Semantic Web technologies that may provide biologists the tools for managing and analyzing their data, without the need for acquiring in-depth computer science knowledge. We developed a semantic problem-solving environment (SPSE) that uses ontologies to integrate internal lab data with external resources in a Parasite Knowledge Base (PKB), which has the ability to query across these resources in a unified manner. The SPSE includes Web Ontology Language (OWL)-based ontologies, experimental data with its provenance information represented using the Resource Description Format (RDF), and a visual querying tool, Cuebee, that features integrated use of Web services. We demonstrate the use and benefit of SPSE using example queries for identifying gene knockout targets of Trypanosoma cruzi for vaccine development. Answers to these queries involve looking up multiple sources of data, linking them together and presenting the results. The SPSE facilitates parasitologists in leveraging the growing, but disparate, parasite data resources by offering an integrative platform that utilizes Semantic Web techniques, while keeping their workload increase minimal.

Developing an ontological explosion knowledge base for business continuity planning purposes.

PubMed

Mohammadfam, Iraj; Kalatpour, Omid; Golmohammadi, Rostam; Khotanlou, Hasan

2013-01-01

Industrial accidents are among the most known challenges to business continuity. Many organisations have lost their reputation following devastating accidents. To manage the risks of such accidents, it is necessary to accumulate sufficient knowledge regarding their roots, causes and preventive techniques. The required knowledge might be obtained through various approaches, including databases. Unfortunately, many databases are hampered by (among other things) static data presentations, a lack of semantic features, and the inability to present accident knowledge as discrete domains. This paper proposes the use of Protégé software to develop a knowledge base for the domain of explosion accidents. Such a structure has a higher capability to improve information retrieval compared with common accident databases. To accomplish this goal, a knowledge management process model was followed. The ontological explosion knowledge base (EKB) was built for further applications, including process accident knowledge retrieval and risk management. The paper will show how the EKB has a semantic feature that enables users to overcome some of the search constraints of existing accident databases.

Modeling And Detecting Anomalies In Scada Systems

NASA Astrophysics Data System (ADS)

Svendsen, Nils; Wolthusen, Stephen

The detection of attacks and intrusions based on anomalies is hampered by the limits of specificity underlying the detection techniques. However, in the case of many critical infrastructure systems, domain-specific knowledge and models can impose constraints that potentially reduce error rates. At the same time, attackers can use their knowledge of system behavior to mask their manipulations, causing adverse effects to observed only after a significant period of time. This paper describes elementary statistical techniques that can be applied to detect anomalies in critical infrastructure networks. A SCADA system employed in liquefied natural gas (LNG) production is used as a case study.

TP53 codon 72 polymorphism and susceptibility to cervical cancer in the Chinese population: an update meta-analysis

PubMed Central

Li, Bing; Wang, Xin; Chen, Hong; Shang, Li-Xin; Wu, Nan

2015-01-01

Background: Although many epidemiologic studies investigated the TP53 codon 72 polymorphism and its association with cervical cancer (CC), definite conclusions cannot be drawn. Aim of the study: To evaluate the association between TP53 codon 72 polymorphism and risk of cervical cancer in the Chinese population. Methods: A computerized literature search was carried out in PubMed, Springer Link, Ovid, Chinese Biomedical Database (CBM), Chinese National Knowledge Infrastructure (CNKI), and Chinese Wanfang Database to collect relevant articles. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to calculate the strength of association. Results: A total of 16 studies including 1684 CC cases and 1178 controls were involved in this meta-analysis. Overall, significant increased association was found between the Pro/Pro carriers and CC risk when all studies in Chinese population pooled into the meta-analysis (heterozygous model: OR = 1.22, 95% CI: 1.01-1.46). In subgroup analyses stratified by ethnicity and source of controls, the same results were observed in Han and in hospital-based studies. Conclusion: Our results suggest that the TP53 codon 72 polymorphism may be potential biomarkers for CC risk in the Chinese population, especially for Han Chinese, and studies with wider spectrum of population are required for definite conclusions. PMID:26309559

Meta-analysis of clinical trials on traditional Chinese herbal medicine for treatment of persistent allergic rhinitis.

PubMed

Wang, Shijun; Tang, Qiaofei; Qian, Wei; Fan, Yu

2012-05-01

Chinese herbal medicine (CHM) has been used for the prevention and treatment of persistent allergic rhinitis (PAR), but results are still equivocal. This study was to assess the clinical effectiveness of CHM in patients with PAR. Databases searched included articles published in the Cochrane library, MEDLINE, EMBASE, China National Knowledge Infrastructure, and Wanfang database from 1999 to 2011. The studies included were randomized controlled trials (RCTs) comparing CHM to placebo if they included patients with PAR. The main outcomes were the changes in the standardized mean difference (SMD) of nasal symptom scores and total serum IgE level. Methodological quality was assessed by the modified Jadad's scale. Seven RCTs with 533 patients were identified and analyzed. In the meta-analysis, CHM reduced the total nasal symptom scores compared to placebo (SMD, -1.82; 95% confidence interval [CI], -3.03 to -0.62; P = 0.003). The effect estimate was in favor of the CHM intervention (SMD, -1.09; 95% CI, -2.74 to 0.55) in reducing the total serum IgE level, although this was not significant (P = 0.19). CHM interventions appear to have beneficial effects in patients with PAR. However, the published efficacy studies are too small to draw firm conclusion. © 2012 John Wiley & Sons A/S.

The Visit-Data Warehouse: Enabling Novel Secondary Use of Health Information Exchange Data

PubMed Central

Fleischman, William; Lowry, Tina; Shapiro, Jason

2014-01-01

Introduction/Objectives: Health Information Exchange (HIE) efforts face challenges with data quality and performance, and this becomes especially problematic when data is leveraged for uses beyond primary clinical use. We describe a secondary data infrastructure focusing on patient-encounter, nonclinical data that was built on top of a functioning HIE platform to support novel secondary data uses and prevent potentially negative impacts these uses might have otherwise had on HIE system performance. Background: HIE efforts have generally formed for the primary clinical use of individual clinical providers searching for data on individual patients under their care, but many secondary uses have been proposed and are being piloted to support care management, quality improvement, and public health. Description of the HIE and Base Infrastructure: This infrastructure review describes a module built into the Healthix HIE. Healthix, based in the New York metropolitan region, comprises 107 participating organizations with 29,946 acute-care beds in 383 facilities, and includes more than 9.2 million unique patients. The primary infrastructure is based on the InterSystems proprietary Caché data model distributed across servers in multiple locations, and uses a master patient index to link individual patients’ records across multiple sites. We built a parallel platform, the “visit data warehouse,” of patient encounter data (demographics, date, time, and type of visit) using a relational database model to allow accessibility using standard database tools and flexibility for developing secondary data use cases. These four secondary use cases include the following: (1) tracking encounter-based metrics in a newly established geriatric emergency department (ED), (2) creating a dashboard to provide a visual display as well as a tabular output of near-real-time de-identified encounter data from the data warehouse, (3) tracking frequent ED users as part of a regional-approach to case management intervention, and (4) improving an existing quality improvement program that analyzes patients with return visits to EDs within 72 hours of discharge. Results/Lessons Learned: Setting up a separate, near-real-time, encounters-based relational database to complement an HIE built on a hierarchical database is feasible, and may be necessary to support many secondary uses of HIE data. As of November 2014, the visit-data warehouse (VDW) built by Healthix is undergoing technical validation testing and updates on an hourly basis. We had to address data integrity issues with both nonstandard and missing HL7 messages because of varied HL7 implementation across the HIE. Also, given our HIEs federated structure, some sites expressed concerns regarding data centralization for the VDW. An established and stable HIE governance structure was critical in overcoming this initial reluctance. Conclusions: As secondary use of HIE data becomes more prevalent, it may be increasingly necessary to build separate infrastructure to support secondary use without compromising performance. More research is needed to determine optimal ways of building such infrastructure and validating its use for secondary purposes. PMID:25848595

National Map Data Base On Landslide Prerequisites In Clay and Silt Areas - Development of Prototype

NASA Astrophysics Data System (ADS)

Viberg, Leif

Swedish geotechnical institute, SGI, has in co-operation with Swedish geologic survey, Lantmateriet (land surveying) and Swedish Rescue Service developed a theme database on landslide prerequisites in clay and silt areas. The work is carried out on commission of the Swedish government. A report with suggestions for production of the database has been delivered to the government. The database is a prototype, which has been tested in an area in northern Sweden. Recommended presentation map scale is about 1:50 000. Distribution of the database via Internet is discussed. The aim of the database is to use it as a modern planning tool in combination with other databases, e g databases on flooding prognoses. The main use is supposed to be in early planning stages, e g for new building and infrastructure development and for risk analyses. The database can also be used in more acute cases, e g for risk analyses and rescue operations in connection with flooding over large areas. Users are supposed to be municipal and county planners and rescue services, infrastructure planners, consultants and assurance companies. The database is constructed by combination of two existing databases: Elevation data and soil map data. The investigation area is divided into three zones with different stability criteria: 1. Clay and silt in sloping ground or adjoining water. 2. Clay and silt in flat ground. 3. Rock and other soils than clay and silt. The geometrical and soil criteria for the zones are specified in an algoritm, that will do the job to sort out the different zones. The algoritm is thereby using data from the elevation and soil databases. The investigation area is divided into cells (raster format) with 5 x 5 m side length. Different algoritms had to be developed before reasonable calculation time was reached. The theme may be presented on screen or as a map plot. A prototype map has been produced for the test area. A description is accompanying the map. The database is suggested to be produced in landslide prone areas in Sweden and approximately 200-300 map sheets (25 x 25 km) are required.

Monitoring performance of a highly distributed and complex computing infrastructure in LHCb

NASA Astrophysics Data System (ADS)

Mathe, Z.; Haen, C.; Stagni, F.

2017-10-01

In order to ensure an optimal performance of the LHCb Distributed Computing, based on LHCbDIRAC, it is necessary to be able to inspect the behavior over time of many components: firstly the agents and services on which the infrastructure is built, but also all the computing tasks and data transfers that are managed by this infrastructure. This consists of recording and then analyzing time series of a large number of observables, for which the usage of SQL relational databases is far from optimal. Therefore within DIRAC we have been studying novel possibilities based on NoSQL databases (ElasticSearch, OpenTSDB and InfluxDB) as a result of this study we developed a new monitoring system based on ElasticSearch. It has been deployed on the LHCb Distributed Computing infrastructure for which it collects data from all the components (agents, services, jobs) and allows creating reports through Kibana and a web user interface, which is based on the DIRAC web framework. In this paper we describe this new implementation of the DIRAC monitoring system. We give details on the ElasticSearch implementation within the DIRAC general framework, as well as an overview of the advantages of the pipeline aggregation used for creating a dynamic bucketing of the time series. We present the advantages of using the ElasticSearch DSL high-level library for creating and running queries. Finally we shall present the performances of that system.

Lessons Learned From Developing Reactor Pressure Vessel Steel Embrittlement Database

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

Wang, Jy-An John

Materials behaviors caused by neutron irradiation under fission and/or fusion environments can be little understood without practical examination. Easily accessible material information system with large material database using effective computers is necessary for design of nuclear materials and analyses or simulations of the phenomena. The developed Embrittlement Data Base (EDB) at ORNL is this comprehensive collection of data. EDB database contains power reactor pressure vessel surveillance data, the material test reactor data, foreign reactor data (through bilateral agreements authorized by NRC), and the fracture toughness data. The lessons learned from building EDB program and the associated database management activity regardingmore » Material Database Design Methodology, Architecture and the Embedded QA Protocol are described in this report. The development of IAEA International Database on Reactor Pressure Vessel Materials (IDRPVM) and the comparison of EDB database and IAEA IDRPVM database are provided in the report. The recommended database QA protocol and database infrastructure are also stated in the report.« less

WEB-BASED DATABASE ON RENEWAL TECHNOLOGIES

EPA Science Inventory

As U.S. utilities continue to shore up their aging infrastructure, renewal needs now represent over 43% of annual expenditures compared to new construction for drinking water distribution and wastewater collection systems (Underground Construction [UC], 2016). An increased unders...

Knowledge Discovery from Databases: An Introductory Review.

ERIC Educational Resources Information Center

Vickery, Brian

1997-01-01

Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…

ENFIN--A European network for integrative systems biology.

PubMed

Kahlem, Pascal; Clegg, Andrew; Reisinger, Florian; Xenarios, Ioannis; Hermjakob, Henning; Orengo, Christine; Birney, Ewan

2009-11-01

Integration of biological data of various types and the development of adapted bioinformatics tools represent critical objectives to enable research at the systems level. The European Network of Excellence ENFIN is engaged in developing an adapted infrastructure to connect databases, and platforms to enable both the generation of new bioinformatics tools and the experimental validation of computational predictions. With the aim of bridging the gap existing between standard wet laboratories and bioinformatics, the ENFIN Network runs integrative research projects to bring the latest computational techniques to bear directly on questions dedicated to systems biology in the wet laboratory environment. The Network maintains internally close collaboration between experimental and computational research, enabling a permanent cycling of experimental validation and improvement of computational prediction methods. The computational work includes the development of a database infrastructure (EnCORE), bioinformatics analysis methods and a novel platform for protein function analysis FuncNet.

XRootD popularity on hadoop clusters

NASA Astrophysics Data System (ADS)

Meoni, Marco; Boccali, Tommaso; Magini, Nicolò; Menichetti, Luca; Giordano, Domenico; CMS Collaboration

2017-10-01

Performance data and metadata of the computing operations at the CMS experiment are collected through a distributed monitoring infrastructure, currently relying on a traditional Oracle database system. This paper shows how to harness Big Data architectures in order to improve the throughput and the efficiency of such monitoring. A large set of operational data - user activities, job submissions, resources, file transfers, site efficiencies, software releases, network traffic, machine logs - is being injected into a readily available Hadoop cluster, via several data streamers. The collected metadata is further organized running fast arbitrary queries; this offers the ability to test several Map&Reduce-based frameworks and measure the system speed-up when compared to the original database infrastructure. By leveraging a quality Hadoop data store and enabling an analytics framework on top, it is possible to design a mining platform to predict dataset popularity and discover patterns and correlations.

Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

PubMed

Herasevich, Vitaly; Pickering, Brian W; Dong, Yue; Peters, Steve G; Gajic, Ognjen

2010-03-01

To develop and validate an informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness. Using open-schema data feeds imported from electronic medical records (EMRs), we developed a near-real-time relational database (Multidisciplinary Epidemiology and Translational Research in Intensive Care Data Mart). Imported data domains included physiologic monitoring, medication orders, laboratory and radiologic investigations, and physician and nursing notes. Open database connectivity supported the use of Boolean combinations of data that allowed authorized users to develop syndrome surveillance, decision support, and reporting (data "sniffers") routines. Random samples of database entries in each category were validated against corresponding independent manual reviews. The Multidisciplinary Epidemiology and Translational Research in Intensive Care Data Mart accommodates, on average, 15,000 admissions to the intensive care unit (ICU) per year and 200,000 vital records per day. Agreement between database entries and manual EMR audits was high for sex, mortality, and use of mechanical ventilation (kappa, 1.0 for all) and for age and laboratory and monitored data (Bland-Altman mean difference +/- SD, 1(0) for all). Agreement was lower for interpreted or calculated variables, such as specific syndrome diagnoses (kappa, 0.5 for acute lung injury), duration of ICU stay (mean difference +/- SD, 0.43+/-0.2), or duration of mechanical ventilation (mean difference +/- SD, 0.2+/-0.9). Extraction of essential ICU data from a hospital EMR into an open, integrative database facilitates process control, reporting, syndrome surveillance, decision support, and outcome research in the ICU.

Development of an Intelligent Digital Watershed to understand water-human interaction for a sustainable Agroeconomy in Midwest USA

NASA Astrophysics Data System (ADS)

Mishra, S. K.; Rapolu, U.; Ding, D.; Muste, M.; Bennett, D.; Schnoor, J. L.

2011-12-01

Human activity is intricately linked to the quality and quantity of water resources. Although many studies have examined water-human interaction, the complexity of such coupled systems is not well understood largely because of gaps in our knowledge of water-cycle processes which are heavily influenced by socio-economic drivers. Considerable research has been performed to develop an understanding of the impact of local land use decisions on field and catchment processes at an annual basis. Still less is known about the impact of economic and environmental outcomes on decision-making processes at the local and national level. Traditional geographic information management systems lack the ability to support the modeling and analysis of complex spatial processes. New frameworks are needed to track, query, and analyze the massive amounts of data generated by ensembles of simulations produced by multiple models that couple socioeconomic and natural system processes. On this context, we propose to develop an Intelligent Digital Watershed (IDW) which fuses emerging concepts of Digital Watershed (DW). DW is a comprehensive characterization of the eco hydrologic systems based on the best available digital data generated by measurements and simulations models. Prototype IDW in the form of a cyber infrastructure based engineered system will facilitate novel insights into human/environment interactions through multi-disciplinary research focused on watershed-related processes at multiple spatio-temporal scales. In ongoing effort, the prototype IDW is applied to Clear Creek watershed, an agricultural dominating catchment in Iowa, to understand water-human processes relevant to management decisions by farmers regarding agro ecosystems. This paper would also lay out the database design that stores metadata about simulation scenarios, scenario inputs and outputs, and connections among these elements- essentially the database. The paper describes the cyber infrastructure and workflows developed for connecting the IDW modeling tools: ABM, Data-Driven Modeling, and SWAT.

National Scale Marine Geophysical Data Portal for the Israel EEZ with Public Access Web-GIS Platform

NASA Astrophysics Data System (ADS)

Ketter, T.; Kanari, M.; Tibor, G.

2017-12-01

Recent offshore discoveries and regulation in the Israel Exclusive Economic Zone (EEZ) are the driving forces behind increasing marine research and development initiatives such as infrastructure development, environmental protection and decision making among many others. All marine operations rely on existing seabed information, while some also generate new data. We aim to create a single platform knowledge-base to enable access to existing information, in a comprehensive, publicly accessible web-based interface. The Israel EEZ covers approx. 26,000 sqkm and has been surveyed continuously with various geophysical instruments over the past decades, including 10,000 km of multibeam survey lines, 8,000 km of sub-bottom seismic lines, and hundreds of sediment sampling stations. Our database consists of vector and raster datasets from multiple sources compiled into a repository of geophysical data and metadata, acquired nation-wide by several research institutes and universities. The repository will enable public access via a web portal based on a GIS platform, including datasets from multibeam, sub-bottom profiling, single- and multi-channel seismic surveys and sediment sampling analysis. Respective data products will also be available e.g. bathymetry, substrate type, granulometry, geological structure etc. Operating a web-GIS based repository allows retrieval of pre-existing data for potential users to facilitate planning of future activities e.g. conducting marine surveys, construction of marine infrastructure and other private or public projects. User interface is based on map oriented spatial selection, which will reveal any relevant data for designated areas of interest. Querying the database will allow the user to obtain information about the data owner and to address them for data retrieval as required. Wide and free public access to existing data and metadata can save time and funds for academia, government and commercial sectors, while aiding in cooperation and data sharing among the various stakeholders.

Knowledge Management Capabilities and Organizational Performance: An Investigation into the Effects of Knowledge Infrastructure and Processes on Organizational Performance

ERIC Educational Resources Information Center

Cho, Taejun

2011-01-01

Knowledge is one of the most important assets for surviving in the modern business environment. The effective management of that asset mandates continuous adaptation by organizations, and requires employees to strive to improve the company's work processes. Organizations attempt to coordinate their unique knowledge with traditional means as well…

Computing and Communications Infrastructure for Network-Centric Warfare: Exploiting COTS, Assuring Performance

DTIC Science & Technology

2004-06-01

remote databases, has seen little vendor acceptance. Each database ( Oracle , DB2, MySQL , etc.) has its own client- server protocol. Therefore each...existing standards – SQL , X.500/LDAP, FTP, etc. • View information dissemination as selective replication – State-oriented vs . message-oriented...allowing the 8 application to start. The resource management system would serve as a broker to the resources, making sure that resources are not

LHCb Build and Deployment Infrastructure for run 2

NASA Astrophysics Data System (ADS)

Clemencic, M.; Couturier, B.

2015-12-01

After the successful run 1 of the LHC, the LHCb Core software team has taken advantage of the long shutdown to consolidate and improve its build and deployment infrastructure. Several of the related projects have already been presented like the build system using Jenkins, as well as the LHCb Performance and Regression testing infrastructure. Some components are completely new, like the Software Configuration Database (using the Graph DB Neo4j), or the new packaging installation using RPM packages. Furthermore all those parts are integrated to allow easier and quicker releases of the LHCb Software stack, therefore reducing the risk of operational errors. Integration and Regression tests are also now easier to implement, allowing to improve further the software checks.

The Importance of Biodiversity E-infrastructures for Megadiverse Countries

PubMed Central

Canhos, Dora A. L.; Sousa-Baena, Mariane S.; de Souza, Sidnei; Maia, Leonor C.; Stehmann, João R.; Canhos, Vanderlei P.; De Giovanni, Renato; Bonacelli, Maria B. M.; Los, Wouter; Peterson, A. Townsend

2015-01-01

Addressing the challenges of biodiversity conservation and sustainable development requires global cooperation, support structures, and new governance models to integrate diverse initiatives and achieve massive, open exchange of data, tools, and technology. The traditional paradigm of sharing scientific knowledge through publications is not sufficient to meet contemporary demands that require not only the results but also data, knowledge, and skills to analyze the data. E-infrastructures are key in facilitating access to data and providing the framework for collaboration. Here we discuss the importance of e-infrastructures of public interest and the lack of long-term funding policies. We present the example of Brazil’s speciesLink network, an e-infrastructure that provides free and open access to biodiversity primary data and associated tools. SpeciesLink currently integrates 382 datasets from 135 national institutions and 13 institutions from abroad, openly sharing ~7.4 million records, 94% of which are associated to voucher specimens. Just as important as the data is the network of data providers and users. In 2014, more than 95% of its users were from Brazil, demonstrating the importance of local e-infrastructures in enabling and promoting local use of biodiversity data and knowledge. From the outset, speciesLink has been sustained through project-based funding, normally public grants for 2–4-year periods. In between projects, there are short-term crises in trying to keep the system operational, a fact that has also been observed in global biodiversity portals, as well as in social and physical sciences platforms and even in computing services portals. In the last decade, the open access movement propelled the development of many web platforms for sharing data. Adequate policies unfortunately did not follow the same tempo, and now many initiatives may perish. PMID:26204382

The Importance of Biodiversity E-infrastructures for Megadiverse Countries.

PubMed

Canhos, Dora A L; Sousa-Baena, Mariane S; de Souza, Sidnei; Maia, Leonor C; Stehmann, João R; Canhos, Vanderlei P; De Giovanni, Renato; Bonacelli, Maria B M; Los, Wouter; Peterson, A Townsend

2015-07-01

Addressing the challenges of biodiversity conservation and sustainable development requires global cooperation, support structures, and new governance models to integrate diverse initiatives and achieve massive, open exchange of data, tools, and technology. The traditional paradigm of sharing scientific knowledge through publications is not sufficient to meet contemporary demands that require not only the results but also data, knowledge, and skills to analyze the data. E-infrastructures are key in facilitating access to data and providing the framework for collaboration. Here we discuss the importance of e-infrastructures of public interest and the lack of long-term funding policies. We present the example of Brazil's speciesLink network, an e-infrastructure that provides free and open access to biodiversity primary data and associated tools. SpeciesLink currently integrates 382 datasets from 135 national institutions and 13 institutions from abroad, openly sharing ~7.4 million records, 94% of which are associated to voucher specimens. Just as important as the data is the network of data providers and users. In 2014, more than 95% of its users were from Brazil, demonstrating the importance of local e-infrastructures in enabling and promoting local use of biodiversity data and knowledge. From the outset, speciesLink has been sustained through project-based funding, normally public grants for 2-4-year periods. In between projects, there are short-term crises in trying to keep the system operational, a fact that has also been observed in global biodiversity portals, as well as in social and physical sciences platforms and even in computing services portals. In the last decade, the open access movement propelled the development of many web platforms for sharing data. Adequate policies unfortunately did not follow the same tempo, and now many initiatives may perish.

A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

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

Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.

Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research & Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorists actions based on assumptions regardingmore » their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.« less

Airborne biological hazards and urban transport infrastructure: current challenges and future directions.

PubMed

Nasir, Zaheer Ahmad; Campos, Luiza Cintra; Christie, Nicola; Colbeck, Ian

2016-08-01

Exposure to airborne biological hazards in an ever expanding urban transport infrastructure and highly diverse mobile population is of growing concern, in terms of both public health and biosecurity. The existing policies and practices on design, construction and operation of these infrastructures may have severe implications for airborne disease transmission, particularly, in the event of a pandemic or intentional release of biological of agents. This paper reviews existing knowledge on airborne disease transmission in different modes of transport, highlights the factors enhancing the vulnerability of transport infrastructures to airborne disease transmission, discusses the potential protection measures and identifies the research gaps in order to build a bioresilient transport infrastructure. The unification of security and public health research, inclusion of public health security concepts at the design and planning phase, and a holistic system approach involving all the stakeholders over the life cycle of transport infrastructure hold the key to mitigate the challenges posed by biological hazards in the twenty-first century transport infrastructure.

The Instructional Effects of Knowledge-Based Community of Practice Learning Environment on Student Achievement and Knowledge Convergence

ERIC Educational Resources Information Center

Draper, Darryl C.

2013-01-01

The increased accessibility of technology and Internet connections has enabled organizations to provide their workforces with the opportunity to engage in distributed education. "Harnessing this innovation calls for organizational and technological infrastructures that support the interplay of knowledge and knowing" (Cook & Brown, 1999, p. 381).…

QSIA--A Web-Based Environment for Learning, Assessing and Knowledge Sharing in Communities

ERIC Educational Resources Information Center

Rafaeli, Sheizaf; Barak, Miri; Dan-Gur, Yuval; Toch, Eran

2004-01-01

This paper describes a Web-based and distributed system named QSIA that serves as an environment for learning, assessing and knowledge sharing. QSIA--Questions Sharing and Interactive Assignments--offers a unified infrastructure for developing, collecting, managing and sharing of knowledge items. QSIA enhances collaboration in authoring via online…

Knowledge Cultures and the Shaping of Work-Based Learning: The Case of Computer Engineering

ERIC Educational Resources Information Center

Nerland, Monika

2008-01-01

This paper examines how the knowledge culture of computer engineering--that is, the ways in which knowledge is produced, distributed, accumulated and collectively approached within this profession--serve to construct work-based learning in specific ways. Typically, the epistemic infrastructures take the form of information structures with a global…

Working with Data: Discovering Knowledge through Mining and Analysis; Systematic Knowledge Management and Knowledge Discovery; Text Mining; Methodological Approach in Discovering User Search Patterns through Web Log Analysis; Knowledge Discovery in Databases Using Formal Concept Analysis; Knowledge Discovery with a Little Perspective.

ERIC Educational Resources Information Center

Qin, Jian; Jurisica, Igor; Liddy, Elizabeth D.; Jansen, Bernard J; Spink, Amanda; Priss, Uta; Norton, Melanie J.

2000-01-01

These six articles discuss knowledge discovery in databases (KDD). Topics include data mining; knowledge management systems; applications of knowledge discovery; text and Web mining; text mining and information retrieval; user search patterns through Web log analysis; concept analysis; data collection; and data structure inconsistency. (LRW)

Knowledge base for v-Embryo: Information Infrastructure for in silico modeling

EPA Science Inventory

Computers, imaging technologies, and the worldwide web have assumed an important role in augmenting traditional learning. Resources to disseminate multimedia information across platforms, and the emergence of communal knowledge environments, facilitate the visualization of diffi...

Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment

NASA Astrophysics Data System (ADS)

Bowker, Geoffrey C.; Baker, Karen; Millerand, Florence; Ribes, David

This article presents Information Infrastructure Studies, a research area that takes up some core issues in digital information and organization research. Infrastructure Studies simultaneously addresses the technical, social, and organizational aspects of the development, usage, and maintenance of infrastructures in local communities as well as global arenas. While infrastructure is understood as a broad category referring to a variety of pervasive, enabling network resources such as railroad lines, plumbing and pipes, electrical power plants and wires, this article focuses on information infrastructure, such as computational services and help desks, or federating activities such as scientific data repositories and archives spanning the multiple disciplines needed to address such issues as climate warming and the biodiversity crisis. These are elements associated with the internet and, frequently today, associated with cyberinfrastructure or e-science endeavors. We argue that a theoretical understanding of infrastructure provides the context for needed dialogue between design, use, and sustainability of internet-based infrastructure services. This article outlines a research area and outlines overarching themes of Infrastructure Studies. Part one of the paper presents definitions for infrastructure and cyberinfrastructure, reviewing salient previous work. Part two portrays key ideas from infrastructure studies (knowledge work, social and political values, new forms of sociality, etc.). In closing, the character of the field today is considered.

Lowering the barriers to computational modeling of Earth's surface: coupling Jupyter Notebooks with Landlab, HydroShare, and CyberGIS for research and education.

NASA Astrophysics Data System (ADS)

Bandaragoda, C.; Castronova, A. M.; Phuong, J.; Istanbulluoglu, E.; Strauch, R. L.; Nudurupati, S. S.; Tarboton, D. G.; Wang, S. W.; Yin, D.; Barnhart, K. R.; Tucker, G. E.; Hutton, E.; Hobley, D. E. J.; Gasparini, N. M.; Adams, J. M.

2017-12-01

The ability to test hypotheses about hydrology, geomorphology and atmospheric processes is invaluable to research in the era of big data. Although community resources are available, there remain significant educational, logistical and time investment barriers to their use. Knowledge infrastructure is an emerging intellectual framework to understand how people are creating, sharing and distributing knowledge - which has been dramatically transformed by Internet technologies. In addition to the technical and social components in a cyberinfrastructure system, knowledge infrastructure considers educational, institutional, and open source governance components required to advance knowledge. We are designing an infrastructure environment that lowers common barriers to reproducing modeling experiments for earth surface investigation. Landlab is an open-source modeling toolkit for building, coupling, and exploring two-dimensional numerical models. HydroShare is an online collaborative environment for sharing hydrologic data and models. CyberGIS-Jupyter is an innovative cyberGIS framework for achieving data-intensive, reproducible, and scalable geospatial analytics using the Jupyter Notebook based on ROGER - the first cyberGIS supercomputer, so that models that can be elastically reproduced through cloud computing approaches. Our team of geomorphologists, hydrologists, and computer geoscientists has created a new infrastructure environment that combines these three pieces of software to enable knowledge discovery. Through this novel integration, any user can interactively execute and explore their shared data and model resources. Landlab on HydroShare with CyberGIS-Jupyter supports the modeling continuum from fully developed modelling applications, prototyping new science tools, hands on research demonstrations for training workshops, and classroom applications. Computational geospatial models based on big data and high performance computing can now be more efficiently developed, improved, scaled, and seamlessly reproduced among multidisciplinary users, thereby expanding the active learning curriculum and research opportunities for students in earth surface modeling and informatics.

Ontology to relational database transformation for web application development and maintenance

NASA Astrophysics Data System (ADS)

Mahmudi, Kamal; Inggriani Liem, M. M.; Akbar, Saiful

2018-03-01

Ontology is used as knowledge representation while database is used as facts recorder in a KMS (Knowledge Management System). In most applications, data are managed in a database system and updated through the application and then they are transformed to knowledge as needed. Once a domain conceptor defines the knowledge in the ontology, application and database can be generated from the ontology. Most existing frameworks generate application from its database. In this research, ontology is used for generating the application. As the data are updated through the application, a mechanism is designed to trigger an update to the ontology so that the application can be rebuilt based on the newest ontology. By this approach, a knowledge engineer has a full flexibility to renew the application based on the latest ontology without dependency to a software developer. In many cases, the concept needs to be updated when the data changed. The framework is built and tested in a spring java environment. A case study was conducted to proof the concepts.

Association between ADIPOQ +45T>G Polymorphism and Type 2 Diabetes: A Systematic Review and Meta-Analysis

PubMed Central

Fan, Yaofu; Wang, Kun; Xu, Shuhang; Chen, Guofang; Di, Hongjie; Cao, Meng; Liu, Chao

2014-01-01

Recently, a number of studies have reported the association between the single nucleotide polymorphisms (SNPs) +45T>G polymorphism in the adiponectin (ADIPOQ) gene and type 2 diabetes mellitus (T2DM) risk, though the results are inconsistent. In order to obtain a more precise estimation of the relationship, a meta-analysis was performed. In this current study, the Medline, Embase, Pubmed, ISI Web of Knowledge, Ovid, Science Citation Index Expanded Database, Wanfang Database, and China National Knowledge Infrastructure were searched for eligible studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to estimate the strength of association. Forty-five publications were included in the final meta-analysis with 9986 T2DM patients and 16,222 controls for ADIPOQ +45T>G polymorphism according to our inclusion and exclusion criteria. The +45T>G polymorphism was associated with an overall significantly increased risk of T2DM (G vs. T: OR = 1.18, 95% CI = 1.06–1.32; The dominant model: OR = 1.18, 95% CI = 1.03–1.33; The recessive model: OR = 1.47, 95% CI = 1.20–1.78; The homozygous model: OR = 1.62, 95% CI = 1.25–2.09; Except the heterozygous model: OR = 1.11, 95% CI = 0.98–1.24). Subgroup analysis revealed a significant association between the +45T>G polymorphism and T2D in an Asian population. Thus, this meta-analysis indicates that the G allele of the ADIPOQ +45T>G polymorphisms associated with a significantly increased risk of T2DM in the Asian population. PMID:25561226

Targeted agents for patients with advanced/metastatic pancreatic cancer: A protocol for systematic review and network meta-analysis.

PubMed

Di, Baoshan; Pan, Bei; Ge, Long; Ma, Jichun; Wu, Yiting; Guo, Tiankang

2018-03-01

Pancreatic cancer (PC) is a devastating malignant tumor. Although surgical resection may offer a good prognosis and prolong survival, approximately 80% patients with PC are always diagnosed as unresectable tumor. National Comprehensive Cancer Network's (NCCN) recommended gemcitabine-based chemotherapy as efficient treatment. While, according to recent studies, targeted agents might be a better available option for advanced or metastatic pancreatic cancer patients. The aim of this systematic review and network meta-analysis will be to examine the differences of different targeted interventions for advanced/metastatic PC patients. We will conduct this systematic review and network meta-analysis using Bayesian method and according to Preferred Reporting Items for Systematic review and Meta-Analysis Protocols (PRISMA-P) statement. To identify relevant studies, 6 electronic databases including PubMed, EMBASE, the Cochrane Central Register of Controlled Trials (CENTRAL), Web of science, CNKI (Chinese National Knowledge Infrastructure), and CBM (Chinese Biological Medical Database) will be searched. The risk of bias in included randomized controlled trials (RCTs) will be assessed using the Cochrane Handbook version 5.1.0. And we will use GRADE approach to assess the quality of evidence from network meta-analysis. Data will be analyzed using R 3.4.1 software. To the best of our knowledge, this systematic review and network meta-analysis will firstly use both direct and indirect evidence to compare the differences of different targeted agents and targeted agents plus chemotherapy for advanced/metastatic pancreatic cancer patients. This is a protocol of systematic review and meta-analysis, so the ethical approval and patient consent are not required. We will disseminate the results of this review by submitting to a peer-reviewed journal.

Efficacy and Safety of L-Carnitine Treatment for Chronic Heart Failure: A Meta-Analysis of Randomized Controlled Trials.

PubMed

Song, Xiaolong; Qu, Huiyan; Yang, Zongguo; Rong, Jingfeng; Cai, Wan; Zhou, Hua

2017-01-01

Background . Whether additional benefit can be achieved with the use of L-carnitine (L-C) in patients with chronic heart failure (CHF) remains controversial. We therefore performed a meta-analysis of randomized controlled trials (RCTs) to evaluate the effects of L-C treatment in CHF patients. Methods . Pubmed, Ovid Embase, Web of Science, and Cochrane Library databases, Chinese National Knowledge Infrastructure (CNKI) database, Wanfang database, Chinese Biomedical (CBM) database, and Chinese Science and Technology Periodicals database (VIP) until September 30, 2016, were identified. Studies that met the inclusion criteria were systematically evaluated by two reviewers independently. Results . 17 RCTs with 1625 CHF patients were included in this analysis. L-C treatment in CHF was associated with considerable improvement in overall efficacy (OR = 3.47, P < 0.01), left ventricular ejection fraction (LVEF) (WMD: 4.14%, P = 0.01), strike volume (SV) (WMD: 8.21 ml, P = 0.01), cardiac output (CO) (WMD: 0.88 L/min, P < 0.01), and E/A (WMD: 0.23, P < 0.01). Moreover, treatment with L-C also resulted in significant decrease in serum levels of BNP (WMD: -124.60 pg/ml, P = 0.01), serum levels of NT-proBNP (WMD: -510.36 pg/ml, P < 0.01), LVESD (WMD: -4.06 mm, P < 0.01), LVEDD (WMD: -4.79 mm, P < 0.01), and LVESV (WMD: -20.16 ml, 95% CI: -35.65 to -4.67, P < 0.01). However, there were no significant differences in all-cause mortality, 6-minute walk, and adverse events between L-C and control groups. Conclusions . L-C treatment is effective for CHF patients in improving clinical symptoms and cardiac functions, decreasing serum levels of BNP and NT-proBNP. And it has a good tolerance.

Huperzine A for vascular dementia.

PubMed

Hao, Zilong; Liu, Ming; Liu, Zhiqin; Lv, Donghao

2009-04-15

Huperzine A, a form of herbal medicine, has been considered as an alternative treatment for vascular dementia (VaD) in China. To assess the efficacy and safety of Huperzine A in patients with vascular dementia. The Specialized Register of the Cochrane Dementia and Cognitive Improvement Group (CDCIG) was searched on 7 July 2008 using the terms: huperzi* OR ayapin OR scoparon*. The CDCIG Specialized Register contains records from all major health care databases (The Cochrane Library, MEDLINE, EMBASE, PsycINFO, CINAHL, LILACS) as well as from many trials databases and grey literature sources. The review authors searched the following databases in August 2008 using the terms 'Huperzine A', 'Shishanjianjia', 'Haboyin' and 'Shuangyiping': The Chinese Biomedical Database (CBM) (1977 to August 2008); Chinese Science and Technique Journals Database (VIP) (1989 to August 2008); China National Knowledge Infrastructure (CNKI) (1979 to August 2008); The Chinese Clinical Trials Register (ChiCTR, August 2008); Google (August 2008). In addition, the review authors searched reference lists, relevant clinical trials and contacted researchers in an effort to identify further published and unpublished studies. Randomized controlled trials comparing Huperzine A with placebo in patients with vascular dementia were considered eligible for inclusion. Two review authors independently selected trials for inclusion, assessed trial quality, and extracted data. Only one small trial, involving 14 participants, was included. No significant beneficial effect of Huperzine A on the improvement of cognitive function measured by MMSE for VaD (WMD 2.40; 95% CI -4.78 to 9.58) was observed. No death from all causes at the end of treatment were reported. At present, other outcome measures were not available in any of the trials. Although no statistically significant differences were found between the Huperzine A-treated and control groups, the confidence intervals for the treatment effect estimates were wide and included both clinically significant benefits and clinically significant harms. There is no [convincing] evidence that Huperzine A is of value in vascular dementia based on one small trial. It deserves further research.

The Efficacy of Danshen Injection as Adjunctive Therapy in Treating Angina Pectoris: A Systematic Review and Meta-Analysis.

PubMed

Shao, Huikai; Li, Mengsi; Chen, Fuchao; Chen, Lianghua; Jiang, Zhengjin; Zhao, Lingguo

2018-04-01

During the last 40 years, Danshen injection has been widely used as an adjunctive therapy for angina pectoris in China, but its efficacy is not yet well defined. The objective of this study was to verify the efficacy of Danshen injection as adjunctive therapy in treating angina pectoris. The major databases including PubMed, Cochrane Library, Sino-Med, Medline, Embase, Google Scholar, China National Knowledge Infrastructure, Wanfang Databases, Chinese Scientific Journal Database, Chinese Biomedical Literature Database and the Chinese Science Citation Database were systematically searched for the published randomised controlled trials (RCTs) on Danshen injection until April 2016. Meta-analysis was conducted on the primary outcomes (i.e., the improvements in symptoms and electrocardiography (ECG)). The quality of the included RCTs was evaluated with the M scoring system (the refined Jadad scale). Based on the quality, year of publication and sample size of RCTs, sensitivity analysis and subgroup analysis were performed in this study. Ten RCTs, including 944 anginal patients, were identified in this meta-analysis. Compared with using antianginal agents (β-blockers, calcium antagonists, nitrates, etc.) alone, Danshen injection combined with antianginal agents had a better therapeutic effect in symptom improvement (odds ratio [OR], 3.66; 95% confidence interval [CI]: 2.50-5.36) and in ECG improvement (OR, 3.25; 95% CI: 1.74-6.08). This study showed that Danshen injection as adjunctive therapy seemed to be more effective than antianginal agents alone in treating angina pectoris. However, more evidence is needed to accurately evaluate the efficacy of Danshen injection because of the low methodological quality of the included RCTs. Copyright © 2017 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.

Influence of the Cyclooxygenase-2 Gene -765G/C and -1195G/A Polymorphisms on Development of Ischemic Stroke.

PubMed

Wu, Guangliang; Cai, Haiyan; Cai, Haobin; Chen, Zhao; Tan, Lei; Qin, Xiurong; Cai, Yefeng

2016-09-01

Many studies have investigated the association between the cyclooxygenase-2 (COX-2) gene polymorphism and ischemic stroke. However, results of these studies still remain controversial. To better explain the association between COX-2 polymorphisms (-765G/C and -1195G/A) and ischemic stroke risk, a meta-analysis was performed. Relevant studies were identified from 4 Chinese databases (Chinese Biological Medical Literature database, Chinese National Knowledge Infrastructure database, Chongqing VIP database, and Chinese WANFANG database), PUBMED and EMBASE prior to December 2015. The strength of association between COX-2 polymorphism and ischemic stroke was evaluated by the odds ratio (OR) with 95% confidence interval (CI). Inconsistency index (I(2)) and the Cochran's Q statistic were used to check heterogeneity. Publication bias was evaluated by funnel plots and Egger's regression test. A total of 4086 ischemic stroke cases and 4747 controls were identified. Significant association between COX-2 -765G/C polymorphism and the risk of ischemic stroke was found in Brazilians and the African-Americans. The OR of (CC+GC versus GG) for the Brazilians and African-Americans were (6.328, 95% CI = 2.295-17.448) and (1.644, 95% CI = 1.060-2.551). In addition, the recessive model of the Brazilians gave an OR of 3.621 (95% CI: 1.519-8.630). Furthermore, the (GC versus GG) and the allele model of the African-Americans were (OR: 1.615, 95% CI = 1.015-2.572) and (OR: 1.422, 95% CI = 1.033-1.957). Significant association was also observed for COX-2 -1195G/A polymorphism in the subtypes of small vessel disease (SVD) of ischemic stroke. Our study suggests that COX-2 -765G/C and -1195G/A polymorphisms may contribute to susceptibility of ischemic stroke, specifically in Brazilians and the African-Americans, and those of SVD. Copyright © 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Advanced European Network of E-Infrastructures for Astronomy with the SKA

NASA Astrophysics Data System (ADS)

Massardi, Marcella

2017-11-01

Here, I present the AENEAS (Advanced European Network of E-infrastructures for Astronomy with the SKA) project has been funded in the Horizon 2020 Work Programme call "Research and Innovation Actions for International Co-operation on high-end e-infrastructure requirements" supporting the Square Kilometre Array (SKA). INAF is contributing to all the AENEAS working packages and leading the WP5 - Access and Knowledge Creation (WP leader M. Massardi IRA-ARC), participants from IRA (Brand, Nanni, Venturi) ,OACT(Becciani, Costa, Umana), OATS (Smareglia, Knapic, Taffoni)

Clinical research in a hospital--from the lone rider to teamwork.

PubMed

Hannisdal, E

1996-01-01

Clinical research of high international standard is very demanding and requires clinical data of high quality, software, hardware and competence in research design and statistical treatment of data. Most busy clinicians have little time allocated for clinical research and this increases the need for a potent infrastructure. This paper describes how the Norwegian Radium Hospital, a specialized cancer hospital, has reorganized the clinical research process. This includes a new department, the Clinical Research Office, which serves the formal framework, a central Diagnosis Registry, clinical databases and multicentre studies. The department assists about 120 users, mainly clinicians. Installation of a network software package with over 10 programs has strongly provided an internal standardization, reduced the costs and saved clinicians a great deal of time. The hospital is building up about 40 diagnosis-specific clinical databases with up to 200 variables registered. These databases are shared by the treatment group and seem to be important tools for quality assurance. We conclude that the clinical research process benefits from a firm infrastructure facilitating teamwork through extensive use of modern information technology. We are now ready for the next phase, which is to work for a better external technical framework for cooperation with other institutions throughout the world.

Spatial Databases for CalVO Volcanoes: Current Status and Future Directions

NASA Astrophysics Data System (ADS)

Ramsey, D. W.

2013-12-01

The U.S. Geological Survey (USGS) California Volcano Observatory (CalVO) aims to advance scientific understanding of volcanic processes and to lessen harmful impacts of volcanic activity in California and Nevada. Within CalVO's area of responsibility, ten volcanoes or volcanic centers have been identified by a national volcanic threat assessment in support of developing the U.S. National Volcano Early Warning System (NVEWS) as posing moderate, high, or very high threats to surrounding communities based on their recent eruptive histories and their proximity to vulnerable people, property, and infrastructure. To better understand the extent of potential hazards at these and other volcanoes and volcanic centers, the USGS Volcano Science Center (VSC) is continually compiling spatial databases of volcano information, including: geologic mapping, hazards assessment maps, locations of geochemical and geochronological samples, and the distribution of volcanic vents. This digital mapping effort has been ongoing for over 15 years and early databases are being converted to match recent datasets compiled with new data models designed for use in: 1) generating hazard zones, 2) evaluating risk to population and infrastructure, 3) numerical hazard modeling, and 4) display and query on the CalVO as well as other VSC and USGS websites. In these capacities, spatial databases of CalVO volcanoes and their derivative map products provide an integrated and readily accessible framework of VSC hazards science to colleagues, emergency managers, and the general public.

CanvasDB: a local database infrastructure for analysis of targeted- and whole genome re-sequencing projects

PubMed Central

Ameur, Adam; Bunikis, Ignas; Enroth, Stefan; Gyllensten, Ulf

2014-01-01

CanvasDB is an infrastructure for management and analysis of genetic variants from massively parallel sequencing (MPS) projects. The system stores SNP and indel calls in a local database, designed to handle very large datasets, to allow for rapid analysis using simple commands in R. Functional annotations are included in the system, making it suitable for direct identification of disease-causing mutations in human exome- (WES) or whole-genome sequencing (WGS) projects. The system has a built-in filtering function implemented to simultaneously take into account variant calls from all individual samples. This enables advanced comparative analysis of variant distribution between groups of samples, including detection of candidate causative mutations within family structures and genome-wide association by sequencing. In most cases, these analyses are executed within just a matter of seconds, even when there are several hundreds of samples and millions of variants in the database. We demonstrate the scalability of canvasDB by importing the individual variant calls from all 1092 individuals present in the 1000 Genomes Project into the system, over 4.4 billion SNPs and indels in total. Our results show that canvasDB makes it possible to perform advanced analyses of large-scale WGS projects on a local server. Database URL: https://github.com/UppsalaGenomeCenter/CanvasDB PMID:25281234

Molecular Genetics Information System (MOLGENIS): alternatives in developing local experimental genomics databases.

PubMed

Swertz, Morris A; De Brock, E O; Van Hijum, Sacha A F T; De Jong, Anne; Buist, Girbe; Baerends, Richard J S; Kok, Jan; Kuipers, Oscar P; Jansen, Ritsert C

2004-09-01

Genomic research laboratories need adequate infrastructure to support management of their data production and research workflow. But what makes infrastructure adequate? A lack of appropriate criteria makes any decision on buying or developing a system difficult. Here, we report on the decision process for the case of a molecular genetics group establishing a microarray laboratory. Five typical requirements for experimental genomics database systems were identified: (i) evolution ability to keep up with the fast developing genomics field; (ii) a suitable data model to deal with local diversity; (iii) suitable storage of data files in the system; (iv) easy exchange with other software; and (v) low maintenance costs. The computer scientists and the researchers of the local microarray laboratory considered alternative solutions for these five requirements and chose the following options: (i) use of automatic code generation; (ii) a customized data model based on standards; (iii) storage of datasets as black boxes instead of decomposing them in database tables; (iv) loosely linking to other programs for improved flexibility; and (v) a low-maintenance web-based user interface. Our team evaluated existing microarray databases and then decided to build a new system, Molecular Genetics Information System (MOLGENIS), implemented using code generation in a period of three months. This case can provide valuable insights and lessons to both software developers and a user community embarking on large-scale genomic projects. http://www.molgenis.nl

CanvasDB: a local database infrastructure for analysis of targeted- and whole genome re-sequencing projects.

PubMed

Ameur, Adam; Bunikis, Ignas; Enroth, Stefan; Gyllensten, Ulf

2014-01-01

CanvasDB is an infrastructure for management and analysis of genetic variants from massively parallel sequencing (MPS) projects. The system stores SNP and indel calls in a local database, designed to handle very large datasets, to allow for rapid analysis using simple commands in R. Functional annotations are included in the system, making it suitable for direct identification of disease-causing mutations in human exome- (WES) or whole-genome sequencing (WGS) projects. The system has a built-in filtering function implemented to simultaneously take into account variant calls from all individual samples. This enables advanced comparative analysis of variant distribution between groups of samples, including detection of candidate causative mutations within family structures and genome-wide association by sequencing. In most cases, these analyses are executed within just a matter of seconds, even when there are several hundreds of samples and millions of variants in the database. We demonstrate the scalability of canvasDB by importing the individual variant calls from all 1092 individuals present in the 1000 Genomes Project into the system, over 4.4 billion SNPs and indels in total. Our results show that canvasDB makes it possible to perform advanced analyses of large-scale WGS projects on a local server. Database URL: https://github.com/UppsalaGenomeCenter/CanvasDB. © The Author(s) 2014. Published by Oxford University Press.

Privacy protection and public goods: building a genetic database for health research in Newfoundland and Labrador

PubMed Central

Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton

2013-01-01

Objective To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. Materials and methods This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. Discussion A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. Conclusion The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research. PMID:22859644

Privacy protection and public goods: building a genetic database for health research in Newfoundland and Labrador.

PubMed

Kosseim, Patricia; Pullman, Daryl; Perrot-Daley, Astrid; Hodgkinson, Kathy; Street, Catherine; Rahman, Proton

2013-01-01

To provide a legal and ethical analysis of some of the implementation challenges faced by the Population Therapeutics Research Group (PTRG) at Memorial University (Canada), in using genealogical information offered by individuals for its genetics research database. This paper describes the unique historical and genetic characteristics of the Newfoundland and Labrador founder population, which gave rise to the opportunity for PTRG to build the Newfoundland Genealogy Database containing digitized records of all pre-confederation (1949) census records of the Newfoundland founder population. In addition to building the database, PTRG has developed the Heritability Analytics Infrastructure, a data management structure that stores genotype, phenotype, and pedigree information in a single database, and custom linkage software (KINNECT) to perform pedigree linkages on the genealogy database. A newly adopted legal regimen in Newfoundland and Labrador is discussed. It incorporates health privacy legislation with a unique research ethics statute governing the composition and activities of research ethics boards and, for the first time in Canada, elevating the status of national research ethics guidelines into law. The discussion looks at this integration of legal and ethical principles which provides a flexible and seamless framework for balancing the privacy rights and welfare interests of individuals, families, and larger societies in the creation and use of research data infrastructures as public goods. The complementary legal and ethical frameworks that now coexist in Newfoundland and Labrador provide the legislative authority, ethical legitimacy, and practical flexibility needed to find a workable balance between privacy interests and public goods. Such an approach may also be instructive for other jurisdictions as they seek to construct and use biobanks and related research platforms for genetic research.

A novel image database analysis system for maintenance of transportation facility : phase I.

DOT National Transportation Integrated Search

2010-06-01

Transportation is critical to the global economy and plays a particularly vital role in this regions economic growth. Transportation infrastructures such as highways, streets, and bridges represent one of the largest public investments of many gov...

Bank stability as a risk factor for pipeline infrastructure: a Scottish example

NASA Astrophysics Data System (ADS)

Maniatis, Georgios; Williams, Richard; Hoey, Trevor

2017-04-01

Bank erosion is a spatially variable process controlled by a number of factors that are interrelated (e.g. grain size, moisture content, organic content, vegetation, bank gradient). As a risk factor, bank erosion has been strongly connected to the failure of infrastructure that crosses or is adjacent to morphologically dynamic rivers. To manage this risk, comprehensive infrastructure asset management programs should include risk assessment of all structures that cross or are near a river. In Scotland, a significant proportion of cross-river infrastructure is pipe bridges, for both clean and waste water. These river crossings are maintained and managed by Scottish Water, a supplier responsible for a 48,000 km long drinking water pipe network and a 52,000 km long wastewater pipe network. Recently, Scottish Water began a comprehensive pipe bridge asset inspection program, which incorporates the acquisition of data to assess riverbank stability. The first step in the development of this database is the use of a prototype software application (a tablet app) which simplifies the surveying process by framing specific geomorphological questions and surveying tasks. As a result, the surveys can be conducted by inspectors with no specialist training in bank stability assessment and then reviewed by those with more expertise. Here, results are presented of a review of survey data, enabling the identification of the assets that are most at risk from bank erosion. The assessment focuses on assets from catchments in two contrasting areas of Scotland; the Hebrides and Glasgow. The uncertainty analysis focuses on input data quality and the variability of information available for desk based risk assessments using Geographic Information Systems (GIS). In parallel, considerations regarding the extension of this framework towards a unified strategy for assessing bank erosion are discussed such as the selection of a statistical framework and the catchment classification process. Finally, we discuss the process of knowledge exchange, where an industrial organization benefits from the scientific input and the academic organization benefits from the access to rapid surveying input at a country scale.

Object recognition for autonomous robot utilizing distributed knowledge database

NASA Astrophysics Data System (ADS)

Takatori, Jiro; Suzuki, Kenji; Hartono, Pitoyo; Hashimoto, Shuji

2003-10-01

In this paper we present a novel method of object recognition utilizing a remote knowledge database for an autonomous robot. The developed robot has three robot arms with different sensors; two CCD cameras and haptic sensors. It can see, touch and move the target object from different directions. Referring to remote knowledge database of geometry and material, the robot observes and handles the objects to understand them including their physical characteristics.

Medical data mining: knowledge discovery in a clinical data warehouse.

PubMed Central

Prather, J. C.; Lobach, D. F.; Goodwin, L. K.; Hales, J. W.; Hage, M. L.; Hammond, W. E.

1997-01-01

Clinical databases have accumulated large quantities of information about patients and their medical conditions. Relationships and patterns within this data could provide new medical knowledge. Unfortunately, few methodologies have been developed and applied to discover this hidden knowledge. In this study, the techniques of data mining (also known as Knowledge Discovery in Databases) were used to search for relationships in a large clinical database. Specifically, data accumulated on 3,902 obstetrical patients were evaluated for factors potentially contributing to preterm birth using exploratory factor analysis. Three factors were identified by the investigators for further exploration. This paper describes the processes involved in mining a clinical database including data warehousing, data query and cleaning, and data analysis. PMID:9357597

Knowledge Co-production at the Research-Practice Interface: Embedded Case Studies from Urban Forestry

Treesearch

Lindsay K. Campbell; Erika S. Svendsen; Lara A. Roman

2016-01-01

Cities are increasingly engaging in sustainability efforts and investment in green infrastructure, including large-scale urban tree planting campaigns. In this context, researchers and practitioners are working jointly to develop applicable knowledge for planning and managing the urban forest. This paper presents three case studies of knowledge co-production in the...

A New Frontier: The National Information Infrastructure. Proceedings from the State-of-the-Art Institute (8th, Washington, D.C., November 3-4, 1994).

ERIC Educational Resources Information Center

Special Libraries Association, New York, NY.

These conference proceedings address the key issues relating to the National Information Infrastructure, including social policy, cultural issues, government policy, and technological applications. The goal is to provide the knowledge and resources needed to conceptualize and think clearly about this topic. Proceedings include: "Opening…

Comparison of Efficacy Between Endoscopic Cyclophotocoagulation and Alternative Surgeries in Refractory Glaucoma

PubMed Central

Yang, Yangfan; Zhong, Jing; Dun, Zhongjun; Liu, Xiao-an; Yu, Minbin

2015-01-01

Abstract Refractory glaucoma refers to uncontrolled intraocular pressure (IOP) despite anti-glaucoma medication and surgical treatment, which remains a challenge to be treated. The objective of this study is to evaluate and statistically compare the clinical efficacy between endoscopic cyclophotocoagulation (ECP) and alternative surgical techniques in the treatment of refractory glaucoma in this article, as a meta-analysis. Data sources are China Biomedical Database (Sinomed, online version), China National Knowledge Infrastructure (CNKI), Cqvip, Wanfang database, and PubMed. The randomized controlled trial (RCT) and case–control study literatures evaluating the clinical efficacy between ECP and other surgical techniques were searched electronically from public databases. The methodology quality of the retrieved articles was evaluated according to the RCT or case–control study criteria. The success rate of treatment, intraocular pressure (IOP) and visual acuity were statistically compared. RevMan 5.3 software was used for the meta-analysis. In total, 6 relevant control studies were selected in this study with a total sampling of 429 cases (429 eyes), including 204 eyes in the ECP group and 225 in the non-ECP group. Meta-analysis demonstrated that the clinical efficacy did not significantly differ between 2 groups (P > 0.05). Postoperative IOP was dramatically reduced in both groups. However, it was difficult to evaluate the combined influence of ECP and non-ECP therapies upon IOP reduction. In conclusion, ECP and non-ECP treatment yielded almost equivalent clinical efficacy in treating refractory glaucoma. The IOP-lowering degree, safety, and incidence of complications remain to be further elucidated by RCTs with a larger sample size. PMID:26426659

Nursing students' satisfaction with bilingual teaching in nursing courses in China: A meta-analysis.

PubMed

Cai, Chunlian; Zhang, Chunmei; Wang, Yan; Xiong, Lina; Jin, Yanfei; Jin, Changde

2016-09-01

The aim of this meta-analysis is to systematically evaluate nursing students' satisfaction with the textbooks, teachers, teaching methods and overall teaching result in nursing bilingual teaching in China. The relevant cross-sectional studies were retrieved from multiple electronic databases including PubMed, Web of Science, Chinese BioMed Database (CBM), China National Knowledge Infrastructure (CNKI) and WanFang Database from inception to August 2015. Studies that measured students' satisfaction with textbooks, teachers, teaching methods, overall teaching result in nursing bilingual teaching in China as outcomes were included. The data were independently extracted using a standardized form and analyzed by STATA (version12.0). A total of thirty-four studies, including 3533 nursing students, were eligible for inclusion in the review. Meta-analyses revealed that nursing students' satisfaction rate of textbooks was 64%, 95%CI (46%, 82%), teachers' teaching attitude was 88%, 95%CI (84%, 92%), teachers' oral expression was 60%, 95%CI (38%, 81%), teachers' pronunciation was 90%, 95%CI (86%, 94%), teachers' teaching ability was 71%, 95%CI (60%, 82%), teaching methods was 69%, 95%CI (52%, 86%) and overall teaching result was 80%, 95%CI (68%, 92%). Our results show that nursing students' satisfaction with the textbooks, teachers, teaching methods and overall teaching result is not high in nursing bilingual teaching in China. These findings suggest that future directions for improving bilingual teaching in China include establishing suitable bilingual teaching material, training teaching faculty members and adopting proper teaching methods. Copyright © 2016 Elsevier Ltd. All rights reserved.

Can Ashi points stimulation have specific effects on shoulder pain? A systematic review of randomized controlled trials.

PubMed

Wang, Kang-Feng; Zhang, Li-Juan; Lu, Feng; Lu, Yong-Hui; Yang, Chuan-Hua

2016-06-01

To provide an evidence-based overview regarding the efficacy of Ashi points stimulation for the treatment of shoulder pain. A comprehensive search [PubMed, Chinese Biomedical Literature Database, China National Knowledge Infrastructure (CNKI), Chongqing Weipu Database for Chinese Technical Periodicals (VIP) and Wanfang Database] was conducted to identify randomized or quasi-randomized controlled trials that evaluated the effectiveness of Ashi points stimulation for shoulder pain compared with conventional treatment. The methodological quality of the included studies was assessed using the Cochrane risk of bias tool. RevMan 5.0 was used for data synthesis. Nine trials were included. Seven studies assessed the effectiveness of Ashi points stimulation on response rate compared with conventional acupuncture. Their results suggested significant effect in favour of Ashi points stimulation [odds ratio (OR): 5.89, 95% confidence interval (CI): 2.97 to 11.67, P<0.01, heterogeneity: χ(2) =3.81, P=0.70, I (2) =0% ]. One trial compared Ashi points stimulation with drug therapy. The result showed there was a significantly greater recovery rate in group of Ashi points stimulation (OR: 9.58, 95% CI: 2.69 to 34.12). One trial compared comprehensive treatment on the myofascial trigger points (MTrPs) with no treatment and the result was in favor of MTrPs. Ashi points stimulation might be superior to conventional acupuncture, drug therapy and no treatment for shoulder pain. However, due to the low methodological quality of included studies, a firm conclusion could not be reached until further studies of high quality are available.

Automated knowledge base development from CAD/CAE databases

NASA Technical Reports Server (NTRS)

Wright, R. Glenn; Blanchard, Mary

1988-01-01

Knowledge base development requires a substantial investment in time, money, and resources in order to capture the knowledge and information necessary for anything other than trivial applications. This paper addresses a means to integrate the design and knowledge base development process through automated knowledge base development from CAD/CAE databases and files. Benefits of this approach include the development of a more efficient means of knowledge engineering, resulting in the timely creation of large knowledge based systems that are inherently free of error.

Research on public participant urban infrastructure safety monitoring system using smartphone

NASA Astrophysics Data System (ADS)

Zhao, Xuefeng; Wang, Niannian; Ou, Jinping; Yu, Yan; Li, Mingchu

2017-04-01

Currently more and more people concerned about the safety of major public security. Public participant urban infrastructure safety monitoring and investigation has become a trend in the era of big data. In this paper, public participant urban infrastructure safety protection system based on smart phones is proposed. The system makes it possible to public participant disaster data collection, monitoring and emergency evaluation in the field of disaster prevention and mitigation. Function of the system is to monitor the structural acceleration, angle and other vibration information, and extract structural deformation and implement disaster emergency communications based on smartphone without network. The monitoring data is uploaded to the website to create urban safety information database. Then the system supports big data analysis processing, the structure safety assessment and city safety early warning.

Engineering Information Infrastructure for Product Lifecycle Managment

NASA Astrophysics Data System (ADS)

Kimura, Fumihiko

For proper management of total product life cycle, it is fundamentally important to systematize design and engineering information about product systems. For example, maintenance operation could be more efficiently performed, if appropriate parts design information is available at the maintenance site. Such information shall be available as an information infrastructure for various kinds of engineering operations, and it should be easily accessible during the whole product life cycle, such as transportation, marketing, usage, repair/upgrade, take-back and recycling/disposal. Different from the traditional engineering database, life cycle support information has several characteristic requirements, such as flexible extensibility, distributed architecture, multiple viewpoints, long-time archiving, and product usage information, etc. Basic approaches for managing engineering information infrastructure are investigated, and various information contents and associated life cycle applications are discussed.

A meta-analysis of interleukin-10-1082 promoter genetic polymorphism associated with atherosclerotic risk.

PubMed

Chao, Li; Lei, Huang; Fei, Jin

2014-01-01

This meta-analysis was conducted to assess the relationship between interleukin-10-1082 G/A single nucleotide polymorphism with atherosclerosis (AS) risk. The databases of PubMed, EMBASE, Chinese National Knowledge Infrastructure and Wan-Fang were searched from January 2000 to January 2014. 16 studies (involving 7779 cases and 7271 controls) were finally included. Each eligible study was scored for quality assessment. We adopted the most probably appropriate genetic model (recessive model) after carefully calculation. Between study heterogeneity was explored by subgroup analysis and publication bias was estimated by Begg's funnel plot and Egger's regression test. Statistically significant association was observed between AA genotype with overall AS risk, being mainly in coronary heart disease and stroke subgroups among Asian population, and peripheral artery disease (PAD) subgroup among Caucasians. Interleukin-10-1082 AA genotype is associated with increased overall AS risk. AA carriers of Asians seem to be more susceptible to coronary artery disease and stroke, and Caucasians are more susceptible to PAD.

Identifying the association between interleukin-6 and lichen planus: A meta-analysis.

PubMed

Yin, Meng; Li, Guifeng; Song, Hui; Lin, Song

2017-05-01

Numerous studies have examined the association between interleukin-6 and the pathogenesis of lichen planus (LP)/oral LP (OLP) in various populations; however, there is a lack of systematic analysis. The aim of the present study was to assess this association more precisely, thus a meta-analysis was performed. Case-control studies, which were published up to December 2015, were obtained from PubMed, Embase and the China National Knowledge Infrastructure databases. Data were extracted and pooled mean differences (MDs) with 95% confidence intervals (CIs) were calculated. Ultimately, eight studies were included, comprising 299 LP/OLP cases and 231 control subjects. Overall, the pooled MD for IL-6 was 16.24 (95% CI, 9.84-22.64; I 2 =99% for heterogeneity). In the subgroup analysis by ethnicity, a significant increase of the IL-6 expression level was identified among Asian individuals, but not in Caucasian individuals. Thus, IL-6 may be significant in the pathogenesis of LP. However, further studies are required to validate these associations.

Planning the Human Variome Project: The Spain Report†

PubMed Central

Kaput, Jim; Cotton, Richard G. H.; Hardman, Lauren; Al Aqeel, Aida I.; Al-Aama, Jumana Y.; Al-Mulla, Fahd; Aretz, Stefan; Auerbach, Arleen D.; Axton, Myles; Bapat, Bharati; Bernstein, Inge T.; Bhak, Jong; Bleoo, Stacey L.; Blöcker, Helmut; Brenner, Steven E.; Burn, John; Bustamante, Mariona; Calzone, Rita; Cambon-Thomsen, Anne; Cargill, Michele; Carrera, Paola; Cavedon, Lawrence; Cho, Yoon Shin; Chung, Yeun-Jun; Claustres, Mireille; Cutting, Garry; Dalgleish, Raymond; den Dunnen, Johan T.; Díaz, Carlos; Dobrowolski, Steven; dos Santos, M. Rosário N.; Ekong, Rosemary; Flanagan, Simon B.; Flicek, Paul; Furukawa, Yoichi; Genuardi, Maurizio; Ghang, Ho; Golubenko, Maria V.; Greenblatt, Marc S.; Hamosh, Ada; Hancock, John M.; Hardison, Ross; Harrison, Terence M.; Hoffmann, Robert; Horaitis, Rania; Howard, Heather J.; Barash, Carol Isaacson; Izagirre, Neskuts; Jung, Jongsun; Kojima, Toshio; Laradi, Sandrine; Lee, Yeon-Su; Lee, Jong-Young; Gil-da-Silva-Lopes, Vera L.; Macrae, Finlay A.; Maglott, Donna; Marafie, Makia J.; Marsh, Steven G.E.; Matsubara, Yoichi; Messiaen, Ludwine M.; Möslein, Gabriela; Netea, Mihai G.; Norton, Melissa L.; Oefner, Peter J.; Oetting, William S.; O’Leary, James C.; de Ramirez, Ana Maria Oller; Paalman, Mark H.; Parboosingh, Jillian; Patrinos, George P.; Perozzi, Giuditta; Phillips, Ian R.; Povey, Sue; Prasad, Suyash; Qi, Ming; Quin, David J.; Ramesar, Rajkumar S.; Richards, C. Sue; Savige, Judith; Scheible, Dagmar G.; Scott, Rodney J.; Seminara, Daniela; Shephard, Elizabeth A.; Sijmons, Rolf H.; Smith, Timothy D.; Sobrido, María-Jesús; Tanaka, Toshihiro; Tavtigian, Sean V.; Taylor, Graham R.; Teague, Jon; Töpel, Thoralf; Ullman-Cullere, Mollie; Utsunomiya, Joji; van Kranen, Henk J.; Vihinen, Mauno; Watson, Michael; Webb, Elizabeth; Weber, Thomas K.; Yeager, Meredith; Yeom, Young I.; Yim, Seon-Hee; Yoo, Hyang-Sook

2018-01-01

The remarkable progress in characterizing the human genome sequence, exemplified by the Human Genome Project and the HapMap Consortium, has led to the perception that knowledge and the tools (e.g., microarrays) are sufficient for many if not most biomedical research efforts. A large amount of data from diverse studies proves this perception inaccurate at best, and at worst, an impediment for further efforts to characterize the variation in the human genome. Since variation in genotype and environment are the fundamental basis to understand phenotypic variability and heritability at the population level, identifying the range of human genetic variation is crucial to the development of personalized nutrition and medicine. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) was proposed initially to systematically collect mutations that cause human disease and create a cyber infrastructure to link locus specific databases (LSDB). We report here the discussions and recommendations from the 2008 HVP planning meeting held in San Feliu de Guixols, Spain, in May 2008. PMID:19306394

Planning the human variome project: the Spain report.

PubMed

Kaput, Jim; Cotton, Richard G H; Hardman, Lauren; Watson, Michael; Al Aqeel, Aida I; Al-Aama, Jumana Y; Al-Mulla, Fahd; Alonso, Santos; Aretz, Stefan; Auerbach, Arleen D; Bapat, Bharati; Bernstein, Inge T; Bhak, Jong; Bleoo, Stacey L; Blöcker, Helmut; Brenner, Steven E; Burn, John; Bustamante, Mariona; Calzone, Rita; Cambon-Thomsen, Anne; Cargill, Michele; Carrera, Paola; Cavedon, Lawrence; Cho, Yoon Shin; Chung, Yeun-Jun; Claustres, Mireille; Cutting, Garry; Dalgleish, Raymond; den Dunnen, Johan T; Díaz, Carlos; Dobrowolski, Steven; dos Santos, M Rosário N; Ekong, Rosemary; Flanagan, Simon B; Flicek, Paul; Furukawa, Yoichi; Genuardi, Maurizio; Ghang, Ho; Golubenko, Maria V; Greenblatt, Marc S; Hamosh, Ada; Hancock, John M; Hardison, Ross; Harrison, Terence M; Hoffmann, Robert; Horaitis, Rania; Howard, Heather J; Barash, Carol Isaacson; Izagirre, Neskuts; Jung, Jongsun; Kojima, Toshio; Laradi, Sandrine; Lee, Yeon-Su; Lee, Jong-Young; Gil-da-Silva-Lopes, Vera L; Macrae, Finlay A; Maglott, Donna; Marafie, Makia J; Marsh, Steven G E; Matsubara, Yoichi; Messiaen, Ludwine M; Möslein, Gabriela; Netea, Mihai G; Norton, Melissa L; Oefner, Peter J; Oetting, William S; O'Leary, James C; de Ramirez, Ana Maria Oller; Paalman, Mark H; Parboosingh, Jillian; Patrinos, George P; Perozzi, Giuditta; Phillips, Ian R; Povey, Sue; Prasad, Suyash; Qi, Ming; Quin, David J; Ramesar, Rajkumar S; Richards, C Sue; Savige, Judith; Scheible, Dagmar G; Scott, Rodney J; Seminara, Daniela; Shephard, Elizabeth A; Sijmons, Rolf H; Smith, Timothy D; Sobrido, María-Jesús; Tanaka, Toshihiro; Tavtigian, Sean V; Taylor, Graham R; Teague, Jon; Töpel, Thoralf; Ullman-Cullere, Mollie; Utsunomiya, Joji; van Kranen, Henk J; Vihinen, Mauno; Webb, Elizabeth; Weber, Thomas K; Yeager, Meredith; Yeom, Young I; Yim, Seon-Hee; Yoo, Hyang-Sook

2009-04-01

The remarkable progress in characterizing the human genome sequence, exemplified by the Human Genome Project and the HapMap Consortium, has led to the perception that knowledge and the tools (e.g., microarrays) are sufficient for many if not most biomedical research efforts. A large amount of data from diverse studies proves this perception inaccurate at best, and at worst, an impediment for further efforts to characterize the variation in the human genome. Because variation in genotype and environment are the fundamental basis to understand phenotypic variability and heritability at the population level, identifying the range of human genetic variation is crucial to the development of personalized nutrition and medicine. The Human Variome Project (HVP; http://www.humanvariomeproject.org/) was proposed initially to systematically collect mutations that cause human disease and create a cyber infrastructure to link locus specific databases (LSDB). We report here the discussions and recommendations from the 2008 HVP planning meeting held in San Feliu de Guixols, Spain, in May 2008. (c) 2009 Wiley-Liss, Inc.

Ketamine and international regulations.

PubMed

Liao, Yanhui; Tang, Yi-Lang; Hao, Wei

2017-09-01

Ketamine is an anesthetic commonly used in low-income countries and has recently been shown to be effective for treatment-resistant depression. However, the illicit manufacturing, trafficking, and nonmedical use of ketamine are increasing globally, and its illicit use poses major public health challenges in many countries. To review the nonmedical use of ketamine in selected countries and its regulatory control. We conducted a review of literature identified from searches of the China National Knowledge Infrastructure (CNKI) (1979-2016) and PubMed databases, supplemented by additional references identified by the authors. Special attention was given to the regulation of ketamine. Illicit manufacturing, trafficking, and use of ketamine appear to have begun on a large scale in several Asian nations, and it has subsequently spread to other regions. Regulations governing availability of ketamine vary across countries, but there is a clear trend toward tighter regulations. As nonmedical use of ketamine and its harmful consequences have worsened globally, stricter controls are necessary. Appropriate regulation of ketamine is important for international efforts to control ketamine's cross-border trafficking and its nonmedical use.

Identifying the association between interleukin-6 and lichen planus: A meta-analysis

PubMed Central

Yin, Meng; Li, Guifeng; Song, Hui; Lin, Song

2017-01-01

Numerous studies have examined the association between interleukin-6 and the pathogenesis of lichen planus (LP)/oral LP (OLP) in various populations; however, there is a lack of systematic analysis. The aim of the present study was to assess this association more precisely, thus a meta-analysis was performed. Case-control studies, which were published up to December 2015, were obtained from PubMed, Embase and the China National Knowledge Infrastructure databases. Data were extracted and pooled mean differences (MDs) with 95% confidence intervals (CIs) were calculated. Ultimately, eight studies were included, comprising 299 LP/OLP cases and 231 control subjects. Overall, the pooled MD for IL-6 was 16.24 (95% CI, 9.84–22.64; I2=99% for heterogeneity). In the subgroup analysis by ethnicity, a significant increase of the IL-6 expression level was identified among Asian individuals, but not in Caucasian individuals. Thus, IL-6 may be significant in the pathogenesis of LP. However, further studies are required to validate these associations. PMID:28529737

Challenges and Opportunities in Mining Neuroscience Data

PubMed Central

Akil, Huda; Martone, Maryann E.; Van Essen, David C.

2011-01-01

Understanding the brain requires a broad range of approaches and methods from the domains of biology, psychology, chemistry, physics, and mathematics. The fundamental challenge is to decipher the “neural choreography” associated with complex behaviors and functions, including thoughts, memories, actions, and emotions. This demands the acquisition and integration of vast amounts of data of many types, at multiple scales in time and in space. Here, we discuss the need for neuroinformatics approaches to accelerate progress, using several illustrative examples. The nascent field of ‘connectomics’ aims to comprehensively describe neuronal connectivity at either a macroscopic level (long-distance pathways for the entire brain) or a microscopic level (axons, dendrites, synapses in a small brain region). The Neuroscience Information Framework encompasses all of neuroscience and facilitates integration of existing knowledge and databases of many types. These examples illustrate the opportunities and challenges of data mining across multiple tiers of neuroscience information and underscore the need for cultural and infrastructure changes if neuroinformatics is to fulfill its potential to advance our understanding of the brain. PMID:21311009

4G/5G polymorphism of plasminogen activator inhibitor-1 gene is associated with polycystic ovary syndrome in Chinese patients: a meta-analysis.

PubMed

Wang, Li-Hong; Wang, Li-Mei; Zhou, Na

2015-09-01

To date, case-control studies on the association between a single-nucleotide polymorphism (SNP) in the plasminogen activator inhibitor-1 (PAI-1) gene and polycystic ovary syndrome (PCOS) have provided controversial results. The electronic databases PubMed, Embase, Web of Science, and CNKI (China National Knowledge Infrastructure) were searched for studies to include in the present meta-analysis. The fixed effects and random effects models showed that the 4G allele was associated with a risk of PCOS compared with the 5G allele in Chinese patients (OR = 2.05; 95 % CI = 1.56-2.69), but not in Caucasian patients (OR = 1.05; 95 % CI = 0.81-1.37). The contrast of homozygotes and the recessive and dominant models produced the same pattern of results as the allele contrast. Our pooled data suggest evidence for a major role of PAI-1 gene 4G/5G polymorphism in the pathogenesis of PCOS among Chinese patients.

Mapping the organization: a bibliometric analysis of nurses' contributions to the literature.

PubMed

Goode, Colleen J; McCarty, Lauren B; Fink, Regina M; Oman, Kathleen S; Makic, MaryBeth Flynn; Krugman, Mary E; Traditi, Lisa

2013-09-01

The aim of this study was to map an academic hospital's nursing contributions to the literature using bibliometric methods. Nurse executives continue to search for ways to share knowledge gained in the clinical setting. Manuscripts from clinical nurses must increase to advance the science of nursing practice and nursing administration. A search of electronic databases and curriculum vitae provided bibliographic data for University of Colorado Hospital (UCH) nurses from 1990 to 2012. Bibliometric techniques were used for publication counts and citation analysis. A review of the infrastructure supporting scholarly work was undertaken. A total of 191 journal articles, 9 books, 103 book chapters, 5 manuals, and 46 manual chapters were published by UCH nurses. Author productivity steadily increased. Citation analysis indicated that the works published were used by others. The h-index for UCH authors was 25. The hospital culture, interdisciplinary practice, and the role of the research nurse scientists had an impact on study results.

A Tony Thomas-Inspired Guide to INSPIRE

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

O'Connell, Heath B.; /Fermilab

2010-04-01

The SPIRES database was created in the late 1960s to catalogue the high energy physics preprints received by the SLAC Library. In the early 1990s it became the first database on the web and the first website outside of Europe. Although indispensible to the HEP community, its aging software infrastructure is becoming a serious liability. In a joint project involving CERN, DESY, Fermilab and SLAC, a new database, INSPIRE, is being created to replace SPIRES using CERN's modern, open-source Invenio database software. INSPIRE will maintain the content and functionality of SPIRES plus many new features. I describe this evolution frommore » the birth of SPIRES to the current day, noting that the career of Tony Thomas spans this timeline.« less

A Survey of Knowledge Management Research & Development at NASA Ames Research Center

NASA Technical Reports Server (NTRS)

Keller, Richard M.; Clancy, Daniel (Technical Monitor)

2002-01-01

This chapter catalogs knowledge management research and development activities at NASA Ames Research Center as of April 2002. A general categorization scheme for knowledge management systems is first introduced. This categorization scheme divides knowledge management capabilities into five broad categories: knowledge capture, knowledge preservation, knowledge augmentation, knowledge dissemination, and knowledge infrastructure. Each of nearly 30 knowledge management systems developed at Ames is then classified according to this system. Finally, a capsule description of each system is presented along with information on deployment status, funding sources, contact information, and both published and internet-based references.

Clinical characteristics and outcomes of traditional Chinese medicine-induced liver injury: a systematic review.

PubMed

Wang, Ran; Qi, Xingshun; Yoshida, Eric M; Méndez-Sánchez, Nahum; Teschke, Rolf; Sun, Mingyu; Liu, Xu; Su, Chunping; Deng, Jiao; Deng, Han; Hou, Feifei; Guo, Xiaozhong

2018-04-01

Traditional Chinese medicine (TCM) is becoming increasingly popular and related adverse events are often ignored or underestimated. This systematic review aimed to evaluate the clinical characteristics and outcomes of TCM-induced liver injury (TCM-ILI) and to estimate the proportion of TCM-ILI in all drug-induced liver injuries (DILI). China National Knowledge Infrastructure, Wanfang, VIP, PubMed, and Embase databases were searched. Demographic, clinical, and survival data were extracted and pooled. Factors associated with worse outcomes were calculated. For the proportion meta-analyses, the data were pooled by using a random-effects model. Overall, 21,027 articles were retrieved, of which 625 were finally included. There was a predominance of female and older patients. The proportion of liver transplantation was 2.18% (7/321). The mortality was 4.67% (15/321). Male, higher aspartate aminotransferase and direct bilirubin, and lower albumin were significantly associated with an increased risk of death/liver transplantation in TCM-ILI patients. The proportion of TCM-ILI in all DILI was 25.71%. The proportion was gradually increased with year. Our work summarises current knowledge regarding clinical presentation, disease course, and prognosis of TCM-ILI. TCM can result in hepatotoxicity, even death or necessitate life-saving liver transplantation. Governmental regulation of TCM products should be strictly established.

A cyber infrastructure for the SKA Telescope Manager

NASA Astrophysics Data System (ADS)

Barbosa, Domingos; Barraca, João. P.; Carvalho, Bruno; Maia, Dalmiro; Gupta, Yashwant; Natarajan, Swaminathan; Le Roux, Gerhard; Swart, Paul

2016-07-01

The Square Kilometre Array Telescope Manager (SKA TM) will be responsible for assisting the SKA Operations and Observation Management, carrying out System diagnosis and collecting Monitoring and Control data from the SKA subsystems and components. To provide adequate compute resources, scalability, operation continuity and high availability, as well as strict Quality of Service, the TM cyber-infrastructure (embodied in the Local Infrastructure - LINFRA) consists of COTS hardware and infrastructural software (for example: server monitoring software, host operating system, virtualization software, device firmware), providing a specially tailored Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) solution. The TM infrastructure provides services in the form of computational power, software defined networking, power, storage abstractions, and high level, state of the art IaaS and PaaS management interfaces. This cyber platform will be tailored to each of the two SKA Phase 1 telescopes (SKA_MID in South Africa and SKA_LOW in Australia) instances, each presenting different computational and storage infrastructures and conditioned by location. This cyber platform will provide a compute model enabling TM to manage the deployment and execution of its multiple components (observation scheduler, proposal submission tools, MandC components, Forensic tools and several Databases, etc). In this sense, the TM LINFRA is primarily focused towards the provision of isolated instances, mostly resorting to virtualization technologies, while defaulting to bare hardware if specifically required due to performance, security, availability, or other requirement.

Best practices to prevent transmission and control outbreaks of hand, foot, and mouth disease in childcare facilities: a systematic review.

PubMed

Chan, J Hy; Law, C K; Hamblion, E; Fung, H; Rudge, J

2017-04-01

Hand, foot, and mouth disease continues to cause seasonal epidemics in the Asia-Pacific Region. Since the current Enterovirus 71 vaccines do not provide cross-protection for all Enterovirus species that cause hand, foot, and mouth disease, there is an urgent need to identify appropriate detection tools and best practice to prevent its transmission and to effectively control its outbreaks. This systematic review aimed to identify characteristics of outbreak and assess the impact and effectiveness of detection tools and public health preventive measures to interrupt transmission. The findings will be used to recommend policy on the most effective responses and interventions in Hong Kong to effectively minimise and contain the spread of the disease within childcare facilities. We searched the following databases for primary studies written in Chinese or English: MEDLINE, EMBASE, Global Health, WHO Western Pacific Region Index Medicus database, China National Knowledge Infrastructure Databases, and Chinese Scientific Journals Database. Studies conducted during or retrospective to outbreaks of hand, foot, and mouth disease caused by Enterovirus 71 from 1980 to 2012 within childcare facilities and with a study population of 0 to 6 years old were included. Sixteen studies conducted on outbreaks in China showed that hand, foot, and mouth disease spread rapidly within the facility, with an outbreak length of 4 to 46 days, especially in those with delayed notification (after 24 hours) of clustered outbreak (with five or more cases discovered within the facility) to the local Center for Disease Control and Prevention and delayed implementation of a control response. The number of classes affected ranged from 1 to 13, and the attack rate for children ranged from 0.97% to 28.18%. Communication between key stakeholders about outbreak confirmation, risk assessment, and surveillance should be improved. Effective communication facilitates timely notification (within 24 hours) of clustered outbreaks to a local Center for Disease Control and Prevention. Timely implementation of a control response is effective in minimising incidence and length of an outbreak in childcare facilities. The government should provide incentives for childcare facilities to train infection control specialists who can serve as the first contact, knowledge, and communication points, as well as facilitate exchange of information and provision of support across stakeholders during a communicable disease epidemic.

Handling Rapid Growth.

ERIC Educational Resources Information Center

Scheideman, Dale; Dufresne, Ray

2001-01-01

Nevada's Clark County, the fastest growing school district in the nation, uses a life-cycle facilities management approach that monitors the individual components of each building on a database. The district's 10-year building program is addressing facilities infrastructure renewal, deferred maintenance, replacement, and new school construction.…

The evolution of monitoring system: the INFN-CNAF case study

NASA Astrophysics Data System (ADS)

Bovina, Stefano; Michelotto, Diego

2017-10-01

Over the past two years, the operations at CNAF, the ICT center of the Italian Institute for Nuclear Physics, have undergone significant changes. The adoption of configuration management tools, such as Puppet, and the constant increase of dynamic and cloud infrastructures have led us to investigate a new monitoring approach. The present work deals with the centralization of the monitoring service at CNAF through a scalable and highly configurable monitoring infrastructure. The selection of tools has been made taking into account the following requirements given by users: (I) adaptability to dynamic infrastructures, (II) ease of configuration and maintenance, capability to provide more flexibility, (III) compatibility with existing monitoring system, (IV) re-usability and ease of access to information and data. In the paper, the CNAF monitoring infrastructure and its related components are hereafter described: Sensu as monitoring router, InfluxDB as time series database to store data gathered from sensors, Uchiwa as monitoring dashboard and Grafana as a tool to create dashboards and to visualize time series metrics.

The ability of older adults to use customized online medical databases to improve their health-related knowledge.

PubMed

Freund, Ophir; Reychav, Iris; McHaney, Roger; Goland, Ella; Azuri, Joseph

2017-06-01

Patient compliance with medical advice and recommended treatment depends on perception of health condition, medical knowledge, attitude, and self-efficacy. This study investigated how use of customized online medical databases, intended to improve knowledge in a variety of relevant medical topics, influenced senior adults' perceptions. Seventy-nine older adults in residence homes completed a computerized, tablet-based questionnaire, with medical scenarios and related questions. Following an intervention, control group participants answered questions without online help while an experimental group received internet links that directed them to customized, online medical databases. Medical knowledge and test scores among the experimental group significantly improved from pre- to post-intervention (p<0.0001) and was higher in comparison with the control group (p<0.0001). No significant change occurred in the control group. Older adults improved their knowledge in desired medical topic areas using customized online medical databases. The study demonstrated how such databases help solve health-related questions among older adult population members, and that older patients appear willing to consider technology usage in information acquisition. Copyright © 2017 Elsevier B.V. All rights reserved.

DataHub knowledge based assistance for science visualization and analysis using large distributed databases

NASA Technical Reports Server (NTRS)

Handley, Thomas H., Jr.; Collins, Donald J.; Doyle, Richard J.; Jacobson, Allan S.

1991-01-01

Viewgraphs on DataHub knowledge based assistance for science visualization and analysis using large distributed databases. Topics covered include: DataHub functional architecture; data representation; logical access methods; preliminary software architecture; LinkWinds; data knowledge issues; expert systems; and data management.

A Spacebased Ocean Surface Exchange Data Analysis System

NASA Technical Reports Server (NTRS)

Tang, Wenqing; Liu, W. Timothy

2000-01-01

Emerging technologies have provided unprecedented opportunities to transform information into knowledge and disseminate them in a much faster, cheaper, and userfriendly mode. We have set up a system to produce and disseminate high level (gridded) ocean surface wind data from the NASA Scatterometer and European Remote Sensing missions. The data system is being expanded to produce real-time gridded ocean surface winds from an improved sensor SeaWinds on the Quikscat Mission. The wind field will be combined with hydrologic parameters from the Tropical Rain Measuring Mission to monitor evolving weather systems and natural hazard in real time. It will form the basis for spacebased Ocean Surface Exchange Data Analysis System (SOSEDAS) which will include the production of ocean surface momentum, heat, and water fluxes needed for interdisciplinary studies of ocean-atmosphere interaction. Various commercial or non-commercial software tools have been compared and selected in terms of their ability in database management, remote data accessing, graphical interface, data quality, storage needs and transfer speed, etc. Issues regarding system security and user authentication, distributed data archiving and accessing, strategy to compress large-volume geophysical and satellite data/image. and increasing transferring speed are being addressed. A simple and easy way to access information and derive knowledge from spacebased data of multiple missions is being provided. The evolving 'knowledge system' will provide relevant infrastructure to address Earth System Science, make inroads in educating an informed populace, and illuminate decision and policy making.

Achievement of interventions on HIV infection prevention among migrants in China: A meta-analysis.

PubMed

Zhang, Rui; Chen, Ling; Cui, Ya Deng; Li, Ge

2018-12-01

In China, migrants with acquired immunodeficiency syndrome (AIDS) have become a serious problem in the field of AIDS prevention. This study aimed to evaluate the efficacy of interventions for human immunodeficiency virus (HIV) infection prevention for migrants in China and to identify factors associated with intervention efficacy. A computerized literature search of the Chinese National Knowledge Infrastructure, Wan Fang, and PubMed databases was conducted to collect related articles published in China. Only self-control intervention studies or studies containing sections regarding self-control interventions wherein the method of intervention was health education were included. Rev Manager 5.3 software was used to analyze the intervention effects in terms of knowledge, attitude, and behavior indexes. Relative to pre-intervention, the HIV interventions showed statistically significant efficacy in terms of sexual transmission of HIV, condom use for HIV prevention, change in attitude towards HIV/AIDS patients, incidence of commercial sex behavior, and recent condoms use during sex (P < .01). Moreover, the baseline rate of migrants, intervention time, peer education, region, and education background were factors influencing the efficacy of the intervention. Significant improvement in terms of knowledge of sexual transmission of HIV and attitudes and behaviors among migrants was observed; however, based on the findings of previous studies, the interventions should be customized for different people from different districts in China. Further research is needed to evaluate subgroups of migrants in China according to their baseline characteristics.

Integration into Big Data: First Steps to Support Reuse of Comprehensive Toxicity Model Modules (SOT)

EPA Science Inventory

Data surrounding the needs of human disease and toxicity modeling are largely siloed limiting the ability to extend and reuse modules across knowledge domains. Using an infrastructure that supports integration across knowledge domains (animal toxicology, high-throughput screening...

Developing a geoscience knowledge framework for a national geological survey organisation

NASA Astrophysics Data System (ADS)

Howard, Andrew S.; Hatton, Bill; Reitsma, Femke; Lawrie, Ken I. G.

2009-04-01

Geological survey organisations (GSOs) are established by most nations to provide a geoscience knowledge base for effective decision-making on mitigating the impacts of natural hazards and global change, and on sustainable management of natural resources. The value of the knowledge base as a national asset is continually enhanced by the exchange of knowledge between GSOs as data and information providers and the stakeholder community as knowledge 'users and exploiters'. Geological maps and associated narrative texts typically form the core of national geoscience knowledge bases, but have some inherent limitations as methods of capturing and articulating knowledge. Much knowledge about the three-dimensional (3D) spatial interpretation and its derivation and uncertainty, and the wider contextual value of the knowledge, remains intangible in the minds of the mapping geologist in implicit and tacit form. To realise the value of these knowledge assets, the British Geological Survey (BGS) has established a workflow-based cyber-infrastructure to enhance its knowledge management and exchange capability. Future geoscience surveys in the BGS will contribute to a national, 3D digital knowledge base on UK geology, with the associated implicit and tacit information captured as metadata, qualitative assessments of uncertainty, and documented workflows and best practice. Knowledge-based decision-making at all levels of society requires both the accessibility and reliability of knowledge to be enhanced in the grid-based world. Establishment of collaborative cyber-infrastructures and ontologies for geoscience knowledge management and exchange will ensure that GSOs, as knowledge-based organisations, can make their contribution to this wider goal.

BBN technical memorandum W1291 infrasound model feasibility study

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

Farrell, T., BBN Systems and Technologies

1998-05-01

The purpose of this study is to determine the need and level of effort required to add existing atmospheric databases and infrasound propagation models to the DOE`s Hydroacoustic Coverage Assessment Model (HydroCAM) [1,2]. The rationale for the study is that the performance of the infrasound monitoring network will be an important factor for both the International Monitoring System (IMS) and US national monitoring capability. Many of the technical issues affecting the design and performance of the infrasound network are directly related to the variability of the atmosphere and the corresponding uncertainties in infrasound propagation. It is clear that the studymore » of these issues will be enhanced by the availability of software tools for easy manipulation and interfacing of various atmospheric databases and infrasound propagation models. In addition, since there are many similarities between propagation in the oceans and in the atmosphere, it is anticipated that much of the software infrastructure developed for hydroacoustic database manipulation and propagation modeling in HydroCAM will be directly extendible to an infrasound capability. The study approach was to talk to the acknowledged domain experts in the infrasound monitoring area to determine: 1. The major technical issues affecting infrasound monitoring network performance. 2. The need for an atmospheric database/infrasound propagation modeling capability similar to HydroCAM. 3. The state of existing infrasound propagation codes and atmospheric databases. 4. A recommended approach for developing the required capabilities. A list of the people who contributed information to this study is provided in Table 1. We also relied on our knowledge of oceanographic and meteorological data sources to determine the availability of atmospheric databases and the feasibility of incorporating this information into the existing HydroCAM geographic database software. This report presents a summary of the need for an integrated infrasound modeling capability in Section 2.0. Section 3.0 provides a recommended approach for developing this capability in two stages; a basic capability and an extended capability. This section includes a discussion of the available static and dynamic databases, and the various modeling tools which are available or could be developed under such a task. The conclusions and recommendations of the study are provided in Section 4.0.« less

A Case Study on Sustainable Reuse of Abandoned Infrastructure at Seoul Station Overpass as Urban Park for the Design Strategies in Korea

NASA Astrophysics Data System (ADS)

Boo, Yeeun; Kwon, Young-Sang

2018-04-01

As the 21st century, known for knowledge information era, many industrial infrastructures built as part of the 20th century urban development have been devastated functionally and new alternatives for them have been demanded nowadays. This study aims to discuss the strategies used in the design proposals of the International Competition for ‘Seoullo 7017 Project’, which was recently completed in May 2017, based on the sustainability of the deteriorate infrastructure as urban park. Through the competition brief, each proposal is analysed against the competition brief and the more generic approaches on the adaptive reuse of infrastructure are proposed. By examining the case in Korea, it is expected to explore the possibilities for the sustainability of abandoned infrastructure through adapting reuse as urban park in Korea, to propose design strategies that can be applied to the future adaptive use of deteriorated infrastructure in Korea, and to provide broader academic base to related works.

Data, knowledge and method bases in chemical sciences. Part IV. Current status in databases.

PubMed

Braibanti, Antonio; Rao, Rupenaguntla Sambasiva; Rao, Gollapalli Nagesvara; Ramam, Veluri Anantha; Rao, Sattiraju Veera Venkata Satyanarayana

2002-01-01

Computer readable databases have become an integral part of chemical research right from planning data acquisition to interpretation of the information generated. The databases available today are numerical, spectral and bibliographic. Data representation by different schemes--relational, hierarchical and objects--is demonstrated. Quality index (QI) throws light on the quality of data. The objective, prospects and impact of database activity on expert systems are discussed. The number and size of corporate databases available on international networks crossed manageable number leading to databases about their contents. Subsets of corporate or small databases have been developed by groups of chemists. The features and role of knowledge-based or intelligent databases are described.

ICU ward design and nosocomial infection rates: a cross-sectional study in Germany.

PubMed

Stiller, A; Schröder, C; Gropmann, A; Schwab, F; Behnke, M; Geffers, C; Sunder, W; Holzhausen, J; Gastmeier, P

2017-01-01

There is increasing interest in the effects of hospital and ward design on multi-faceted infection control. Definitive evidence is rare and the state of knowledge about current ward design is lacking. To collect data on the current status of ward design for intensive care units (ICUs) and to analyse associations between particular design factors and nosocomial infection rates. In 2015, operational infrastructure data were collected via an online questionnaire from ICUs participating voluntarily in the German nosocomial infection surveillance system (KISS). A multi-variate analysis was subsequently undertaken with nosocomial infection rates from the KISS database from 2014 to 2015. In total, 534 ICUs submitted data about their operational infrastructure. Of these, 27.1% of beds were hosted in single-bed rooms with a median size of 18m 2 (interquartile range 15-21m 2 ), and 73.5% of all ICU beds had a hand rub dispenser nearby. The authors were able to match 266 ICUs in the multi-variate analysis. ICUs with openable windows in patient rooms were associated with lower device-associated lower respiratory tract infections [odds ratio (OR) 0.73, 95% confidence interval (CI) 0.58-0.90]. ICUs with >40% two-bed rooms were associated with lower primary bloodstream infection rates (OR 0.66, 95% CI 0.51-0.86). Only minor associations were found between design factors and ICU infection rates. Most were surrogates for other risk factors. Copyright © 2016 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Rich media streaming for just-in-time training of first responders

NASA Astrophysics Data System (ADS)

Bandera, Cesar; Marsico, Michael

2005-05-01

The diversity of first responders and of asymmetric threats precludes the effectiveness of any single training syllabus. Just-in-time training (JITT) addresses this variability, but requires training content to be quickly tailored to the subject (the threat), the learner (the responder), and the infrastructure (the C2 chain from DHS to the responder"s equipment). We present a distributed system for personalized just-in-time training of first responders. The authoring and delivery of interactive rich media and simulations, and the integration of JITT with C2 centers, are demonstrated. Live and archived video, imagery, 2-D and 3-D models, and simulations are autonomously (1) aggregated from object-oriented databases into SCORM-compliant objects, (2) tailored to the individual learner"s training history, preferences, connectivity and computing platform (from workstations to wireless PDAs), (3) conveyed as secure and reliable MPEG-4 compliant streams with data rights management, and (4) rendered as interactive high-definition rich media that promotes knowledge retention and the refinement of learner skills without the need of special hardware. We review the object-oriented implications of SCORM and the higher level profiles of the MPEG-4 standard, and show how JITT can be integrated into - and improve the ROI of - existing training infrastructures, including COTS content authoring tools, LMS/CMS, man-in-the-loop simulators, and legacy content. Lastly, we compare the audiovisual quality of different streaming platforms under varying connectivity conditions.

Climate Vulnerability of Hydro-power infrastructure in the Eastern African Power Pool

NASA Astrophysics Data System (ADS)

Sridharan, Vignesh

2017-04-01

At present there is around 6000 MW of installed hydropower capacity in the Eastern African power pool (EAPP)[1]. With countries aggressively planning to achieve the Sustainable development goal (SDG) of ensuring access to affordable electricity for all, a three-fold increase in hydropower capacity is expected by 2040 [1]. Most of the existing and planned infrastructure lie inside the Nile River Basin. The latest assessment report (AR 5) from the Intergovernmental Panel on Climate Change (IPCC) indicates a high level of climatic uncertainty in the Nile Basin. The Climate Moisture index (CMI) for the Eastern Nile region and the Nile Equatorial lakes varies significantly across the different General Circulation Models (GCM)[2]. Such high uncertainty casts a shadow on the plans to expand hydropower capacity, doubting whether hydropower expansion can contribute to the goal of improving access to electricity or end up as sunk investments. In this assessment, we analyze adaptation strategies for national energy systems in the Eastern African Power Pool (EAPP), which minimize the regret that could potentially arise from impacts of a changed climate. An energy systems model of the EAPP is developed representing national electricity supply infrastructure. Cross border transmission and hydropower infrastructure is defined at individual project level. The energy systems model is coupled with a water systems management model of the Nile River Basin that calculates the water availability at different hydropower infrastructures under a range of climate scenarios. The results suggest that a robust adaptation strategy consisting of investments in cross border electricity transmission infrastructure and diversifying sources of electricity supply will require additional investments of USD 4.2 billion by 2050. However, this leads to fuel and operational cost savings of up to USD 22.6 billion, depending on the climate scenario. [1] "Platts, 2016. World Electric Power Plants Database," World Electric Power Plants Database. [Online]. Available: http://www.platts.com/Products/worldelectricpowerplantsdatabase. [Accessed: 01-Mar-2016]. [2] Brent Boehlert, Kenneth M. Strzepek, David Groves, and Bruce Hewitson, Chris Jack, "Climate Change Projections in Africa-Chapter 3," in Enhancing the Climate Resilience of Africa's Infrastructure : The Power and Water Sectors, Washington DC: The World Bank, 2016, p. 219.

Facilitating Collaboration, Knowledge Construction and Communication with Web-Enabled Databases.

ERIC Educational Resources Information Center

McNeil, Sara G.; Robin, Bernard R.

This paper presents an overview of World Wide Web-enabled databases that dynamically generate Web materials and focuses on the use of this technology to support collaboration, knowledge construction, and communication. Database applications have been used in classrooms to support learning activities for over a decade, but, although business and…

Knowledge Creation through User-Guided Data Mining: A Database Case

ERIC Educational Resources Information Center

Steiger, David M.

2008-01-01

This case focuses on learning by applying the four integrating mechanisms of Nonaka's knowledge creation theory: socialization, externalization, combination and internalization. In general, such knowledge creation and internalization (i.e., learning) is critical to database students since they will be expected to apply their specialized database…

Barriers to the conduct of randomised clinical trials within all disease areas.

PubMed

Djurisic, Snezana; Rath, Ana; Gaber, Sabrina; Garattini, Silvio; Bertele, Vittorio; Ngwabyt, Sandra-Nadia; Hivert, Virginie; Neugebauer, Edmund A M; Laville, Martine; Hiesmayr, Michael; Demotes-Mainard, Jacques; Kubiak, Christine; Jakobsen, Janus C; Gluud, Christian

2017-08-01

Randomised clinical trials are key to advancing medical knowledge and to enhancing patient care, but major barriers to their conduct exist. The present paper presents some of these barriers. We performed systematic literature searches and internal European Clinical Research Infrastructure Network (ECRIN) communications during face-to-face meetings and telephone conferences from 2013 to 2017 within the context of the ECRIN Integrating Activity (ECRIN-IA) project. The following barriers to randomised clinical trials were identified: inadequate knowledge of clinical research and trial methodology; lack of funding; excessive monitoring; restrictive privacy law and lack of transparency; complex regulatory requirements; and inadequate infrastructures. There is a need for more pragmatic randomised clinical trials conducted with low risks of systematic and random errors, and multinational cooperation is essential. The present paper presents major barriers to randomised clinical trials. It also underlines the value of using a pan-European-distributed infrastructure to help investigators overcome barriers for multi-country trials in any disease area.

System Architecture Development for Energy and Water Infrastructure Data Management and Geovisual Analytics

NASA Astrophysics Data System (ADS)

Berres, A.; Karthik, R.; Nugent, P.; Sorokine, A.; Myers, A.; Pang, H.

2017-12-01

Building an integrated data infrastructure that can meet the needs of a sustainable energy-water resource management requires a robust data management and geovisual analytics platform, capable of cross-domain scientific discovery and knowledge generation. Such a platform can facilitate the investigation of diverse complex research and policy questions for emerging priorities in Energy-Water Nexus (EWN) science areas. Using advanced data analytics, machine learning techniques, multi-dimensional statistical tools, and interactive geovisualization components, such a multi-layered federated platform is being developed, the Energy-Water Nexus Knowledge Discovery Framework (EWN-KDF). This platform utilizes several enterprise-grade software design concepts and standards such as extensible service-oriented architecture, open standard protocols, event-driven programming model, enterprise service bus, and adaptive user interfaces to provide a strategic value to the integrative computational and data infrastructure. EWN-KDF is built on the Compute and Data Environment for Science (CADES) environment in Oak Ridge National Laboratory (ORNL).

A technological infrastructure to sustain Internetworked Enterprises

NASA Astrophysics Data System (ADS)

La Mattina, Ernesto; Savarino, Vincenzo; Vicari, Claudia; Storelli, Davide; Bianchini, Devis

In the Web 3.0 scenario, where information and services are connected by means of their semantics, organizations can improve their competitive advantage by publishing their business and service descriptions. In this scenario, Semantic Peer to Peer (P2P) can play a key role in defining dynamic and highly reconfigurable infrastructures. Organizations can share knowledge and services, using this infrastructure to move towards value networks, an emerging organizational model characterized by fluid boundaries and complex relationships. This chapter collects and defines the technological requirements and architecture of a modular and multi-Layer Peer to Peer infrastructure for SOA-based applications. This technological infrastructure, based on the combination of Semantic Web and P2P technologies, is intended to sustain Internetworked Enterprise configurations, defining a distributed registry and enabling more expressive queries and efficient routing mechanisms. The following sections focus on the overall architecture, while describing the layers that form it.

Dynamic Collaboration Infrastructure for Hydrologic Science

NASA Astrophysics Data System (ADS)

Tarboton, D. G.; Idaszak, R.; Castillo, C.; Yi, H.; Jiang, F.; Jones, N.; Goodall, J. L.

2016-12-01

Data and modeling infrastructure is becoming increasingly accessible to water scientists. HydroShare is a collaborative environment that currently offers water scientists the ability to access modeling and data infrastructure in support of data intensive modeling and analysis. It supports the sharing of and collaboration around "resources" which are social objects defined to include both data and models in a structured standardized format. Users collaborate around these objects via comments, ratings, and groups. HydroShare also supports web services and cloud based computation for the execution of hydrologic models and analysis and visualization of hydrologic data. However, the quantity and variety of data and modeling infrastructure available that can be accessed from environments like HydroShare is increasing. Storage infrastructure can range from one's local PC to campus or organizational storage to storage in the cloud. Modeling or computing infrastructure can range from one's desktop to departmental clusters to national HPC resources to grid and cloud computing resources. How does one orchestrate this vast number of data and computing infrastructure without needing to correspondingly learn each new system? A common limitation across these systems is the lack of efficient integration between data transport mechanisms and the corresponding high-level services to support large distributed data and compute operations. A scientist running a hydrology model from their desktop may require processing a large collection of files across the aforementioned storage and compute resources and various national databases. To address these community challenges a proof-of-concept prototype was created integrating HydroShare with RADII (Resource Aware Data-centric collaboration Infrastructure) to provide software infrastructure to enable the comprehensive and rapid dynamic deployment of what we refer to as "collaborative infrastructure." In this presentation we discuss the results of this proof-of-concept prototype which enabled HydroShare users to readily instantiate virtual infrastructure marshaling arbitrary combinations, varieties, and quantities of distributed data and computing infrastructure in addressing big problems in hydrology.

The eNanoMapper database for nanomaterial safety information

PubMed Central

Chomenidis, Charalampos; Doganis, Philip; Fadeel, Bengt; Grafström, Roland; Hardy, Barry; Hastings, Janna; Hegi, Markus; Jeliazkov, Vedrin; Kochev, Nikolay; Kohonen, Pekka; Munteanu, Cristian R; Sarimveis, Haralambos; Smeets, Bart; Sopasakis, Pantelis; Tsiliki, Georgia; Vorgrimmler, David; Willighagen, Egon

2015-01-01

Summary Background: The NanoSafety Cluster, a cluster of projects funded by the European Commision, identified the need for a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs). Ontologies, open standards, and interoperable designs were envisioned to empower a harmonized approach to European research in nanotechnology. This setting provides a number of opportunities and challenges in the representation of nanomaterials data and the integration of ENM information originating from diverse systems. Within this cluster, eNanoMapper works towards supporting the collaborative safety assessment for ENMs by creating a modular and extensible infrastructure for data sharing, data analysis, and building computational toxicology models for ENMs. Results: The eNanoMapper database solution builds on the previous experience of the consortium partners in supporting diverse data through flexible data storage, open source components and web services. We have recently described the design of the eNanoMapper prototype database along with a summary of challenges in the representation of ENM data and an extensive review of existing nano-related data models, databases, and nanomaterials-related entries in chemical and toxicogenomic databases. This paper continues with a focus on the database functionality exposed through its application programming interface (API), and its use in visualisation and modelling. Considering the preferred community practice of using spreadsheet templates, we developed a configurable spreadsheet parser facilitating user friendly data preparation and data upload. We further present a web application able to retrieve the experimental data via the API and analyze it with multiple data preprocessing and machine learning algorithms. Conclusion: We demonstrate how the eNanoMapper database is used to import and publish online ENM and assay data from several data sources, how the “representational state transfer” (REST) API enables building user friendly interfaces and graphical summaries of the data, and how these resources facilitate the modelling of reproducible quantitative structure–activity relationships for nanomaterials (NanoQSAR). PMID:26425413

Addition of a breeding database in the Genome Database for Rosaceae

PubMed Central

Evans, Kate; Jung, Sook; Lee, Taein; Brutcher, Lisa; Cho, Ilhyung; Peace, Cameron; Main, Dorrie

2013-01-01

Breeding programs produce large datasets that require efficient management systems to keep track of performance, pedigree, geographical and image-based data. With the development of DNA-based screening technologies, more breeding programs perform genotyping in addition to phenotyping for performance evaluation. The integration of breeding data with other genomic and genetic data is instrumental for the refinement of marker-assisted breeding tools, enhances genetic understanding of important crop traits and maximizes access and utility by crop breeders and allied scientists. Development of new infrastructure in the Genome Database for Rosaceae (GDR) was designed and implemented to enable secure and efficient storage, management and analysis of large datasets from the Washington State University apple breeding program and subsequently expanded to fit datasets from other Rosaceae breeders. The infrastructure was built using the software Chado and Drupal, making use of the Natural Diversity module to accommodate large-scale phenotypic and genotypic data. Breeders can search accessions within the GDR to identify individuals with specific trait combinations. Results from Search by Parentage lists individuals with parents in common and results from Individual Variety pages link to all data available on each chosen individual including pedigree, phenotypic and genotypic information. Genotypic data are searchable by markers and alleles; results are linked to other pages in the GDR to enable the user to access tools such as GBrowse and CMap. This breeding database provides users with the opportunity to search datasets in a fully targeted manner and retrieve and compare performance data from multiple selections, years and sites, and to output the data needed for variety release publications and patent applications. The breeding database facilitates efficient program management. Storing publicly available breeding data in a database together with genomic and genetic data will further accelerate the cross-utilization of diverse data types by researchers from various disciplines. Database URL: http://www.rosaceae.org/breeders_toolbox PMID:24247530

The eNanoMapper database for nanomaterial safety information.

PubMed

Jeliazkova, Nina; Chomenidis, Charalampos; Doganis, Philip; Fadeel, Bengt; Grafström, Roland; Hardy, Barry; Hastings, Janna; Hegi, Markus; Jeliazkov, Vedrin; Kochev, Nikolay; Kohonen, Pekka; Munteanu, Cristian R; Sarimveis, Haralambos; Smeets, Bart; Sopasakis, Pantelis; Tsiliki, Georgia; Vorgrimmler, David; Willighagen, Egon

2015-01-01

The NanoSafety Cluster, a cluster of projects funded by the European Commision, identified the need for a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs). Ontologies, open standards, and interoperable designs were envisioned to empower a harmonized approach to European research in nanotechnology. This setting provides a number of opportunities and challenges in the representation of nanomaterials data and the integration of ENM information originating from diverse systems. Within this cluster, eNanoMapper works towards supporting the collaborative safety assessment for ENMs by creating a modular and extensible infrastructure for data sharing, data analysis, and building computational toxicology models for ENMs. The eNanoMapper database solution builds on the previous experience of the consortium partners in supporting diverse data through flexible data storage, open source components and web services. We have recently described the design of the eNanoMapper prototype database along with a summary of challenges in the representation of ENM data and an extensive review of existing nano-related data models, databases, and nanomaterials-related entries in chemical and toxicogenomic databases. This paper continues with a focus on the database functionality exposed through its application programming interface (API), and its use in visualisation and modelling. Considering the preferred community practice of using spreadsheet templates, we developed a configurable spreadsheet parser facilitating user friendly data preparation and data upload. We further present a web application able to retrieve the experimental data via the API and analyze it with multiple data preprocessing and machine learning algorithms. We demonstrate how the eNanoMapper database is used to import and publish online ENM and assay data from several data sources, how the "representational state transfer" (REST) API enables building user friendly interfaces and graphical summaries of the data, and how these resources facilitate the modelling of reproducible quantitative structure-activity relationships for nanomaterials (NanoQSAR).

Addition of a breeding database in the Genome Database for Rosaceae.

PubMed

Evans, Kate; Jung, Sook; Lee, Taein; Brutcher, Lisa; Cho, Ilhyung; Peace, Cameron; Main, Dorrie

2013-01-01

Breeding programs produce large datasets that require efficient management systems to keep track of performance, pedigree, geographical and image-based data. With the development of DNA-based screening technologies, more breeding programs perform genotyping in addition to phenotyping for performance evaluation. The integration of breeding data with other genomic and genetic data is instrumental for the refinement of marker-assisted breeding tools, enhances genetic understanding of important crop traits and maximizes access and utility by crop breeders and allied scientists. Development of new infrastructure in the Genome Database for Rosaceae (GDR) was designed and implemented to enable secure and efficient storage, management and analysis of large datasets from the Washington State University apple breeding program and subsequently expanded to fit datasets from other Rosaceae breeders. The infrastructure was built using the software Chado and Drupal, making use of the Natural Diversity module to accommodate large-scale phenotypic and genotypic data. Breeders can search accessions within the GDR to identify individuals with specific trait combinations. Results from Search by Parentage lists individuals with parents in common and results from Individual Variety pages link to all data available on each chosen individual including pedigree, phenotypic and genotypic information. Genotypic data are searchable by markers and alleles; results are linked to other pages in the GDR to enable the user to access tools such as GBrowse and CMap. This breeding database provides users with the opportunity to search datasets in a fully targeted manner and retrieve and compare performance data from multiple selections, years and sites, and to output the data needed for variety release publications and patent applications. The breeding database facilitates efficient program management. Storing publicly available breeding data in a database together with genomic and genetic data will further accelerate the cross-utilization of diverse data types by researchers from various disciplines. Database URL: http://www.rosaceae.org/breeders_toolbox.

Deploying Server-side File System Monitoring at NERSC

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

Uselton, Andrew

2009-05-01

The Franklin Cray XT4 at the NERSC center was equipped with the server-side I/O monitoring infrastructure Cerebro/LMT, which is described here in detail. Insights gained from the data produced include a better understanding of instantaneous data rates during file system testing, file system behavior during regular production time, and long-term average behaviors. Information and insights gleaned from this monitoring support efforts to proactively manage the I/O infrastructure on Franklin. A simple model for I/O transactions is introduced and compared with the 250 million observations sent to the LMT database from August 2008 to February 2009.

"It's Not My Community"--Insights from Social Identity Theory Explaining Community-Failure

ERIC Educational Resources Information Center

Mueller, Julia; Renzl, Birgit; Kaar, Alexandra

2008-01-01

The availability of new Information and Communication Technologies (ICT) has led organisations to implement different kinds of electronic knowledge networks and communities. While the technological infrastructure connects employees in different locations and allows for learning and the flow of knowledge across traditional organisational…

U.S. Department of Transportation's intelligent transportation infrastructure deployment database : interim report

DOT National Transportation Integrated Search

2013-04-01

Connected Vehicle to Vehicle (V2V) safety applications heavily rely on the BSM, which is one of the messages defined in the Society of Automotive standard J2735, Dedicated Short Range Communications (DSRC) Message Set Dictionary, November 2009. The B...

BUILDING A DATABASE FOR LIFE CYCLE PERFORMANCE ASSESSMENT OF TRENCHLESS TECHNOLOGIES - abstract

EPA Science Inventory

Trenchless pipe rehabilitation has steadily increased over the past 40 years and represents an increasing proportion of the annual expenditure on the nation’s water infrastructure. Despite the massive public investment in these technologies, there has been little quantitative ev...

Building a Database for Life Cycle Performance Assessment of Trenchless Technologies

EPA Science Inventory

Deployment of trenchless pipe rehabilitation method has steadily increased over the past 40 years and has represented an increasing proportion of the annual expenditure on the nation’s water and sewer infrastructure. Until recently, despite the massive public investments in these...

Using an Integrated, Multi-disciplinary Framework to Support Quantitative Microbial Risk Assessments

EPA Science Inventory

The Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES) provides the infrastructure to link disparate models and databases seamlessly, giving an assessor the ability to construct an appropriate conceptual site model from a host of modeling choices, so a numbe...

Improving the analysis, storage and sharing of neuroimaging data using relational databases and distributed computing.

PubMed

Hasson, Uri; Skipper, Jeremy I; Wilde, Michael J; Nusbaum, Howard C; Small, Steven L

2008-01-15

The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis, to allow collaborative research, and to achieve these aims securely and with minimum management overhead. Here we present an approach that overcomes many current limitations in data analysis and data sharing. This approach is based on open source database management systems that support complex data queries as an integral part of data analysis, flexible data sharing, and parallel and distributed data processing using cluster computing and Grid computing resources. We assess the strengths of these approaches as compared to current frameworks based on storage of binary or text files. We then describe in detail the implementation of such a system and provide a concrete description of how it was used to enable a complex analysis of fMRI time series data.

Improving the Analysis, Storage and Sharing of Neuroimaging Data using Relational Databases and Distributed Computing

PubMed Central

Hasson, Uri; Skipper, Jeremy I.; Wilde, Michael J.; Nusbaum, Howard C.; Small, Steven L.

2007-01-01

The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis, to allow collaborative research, and to achieve these aims securely and with minimum management overhead. Here we present an approach that overcomes many current limitations in data analysis and data sharing. This approach is based on open source database management systems that support complex data queries as an integral part of data analysis, flexible data sharing, and parallel and distributed data processing using cluster computing and Grid computing resources. We assess the strengths of these approaches as compared to current frameworks based on storage of binary or text files. We then describe in detail the implementation of such a system and provide a concrete description of how it was used to enable a complex analysis of fMRI time series data. PMID:17964812

An Innovative Infrastructure with a Universal Geo-Spatiotemporal Data Representation Supporting Cost-Effective Integration of Diverse Earth Science Data

NASA Technical Reports Server (NTRS)

Rilee, Michael Lee; Kuo, Kwo-Sen

2017-01-01

The SpatioTemporal Adaptive Resolution Encoding (STARE) is a unifying scheme encoding geospatial and temporal information for organizing data on scalable computing/storage resources, minimizing expensive data transfers. STARE provides a compact representation that turns set-logic functions into integer operations, e.g. conditional sub-setting, taking into account representative spatiotemporal resolutions of the data in the datasets. STARE geo-spatiotemporally aligns data placements of diverse data on massive parallel resources to maximize performance. Automating important scientific functions (e.g. regridding) and computational functions (e.g. data placement) allows scientists to focus on domain-specific questions instead of expending their efforts and expertise on data processing. With STARE-enabled automation, SciDB (Scientific Database) plus STARE provides a database interface, reducing costly data preparation, increasing the volume and variety of interoperable data, and easing result sharing. Using SciDB plus STARE as part of an integrated analysis infrastructure dramatically eases combining diametrically different datasets.

The EDRN knowledge environment: an open source, scalable informatics platform for biological sciences research

NASA Astrophysics Data System (ADS)

Crichton, Daniel; Mahabal, Ashish; Anton, Kristen; Cinquini, Luca; Colbert, Maureen; Djorgovski, S. George; Kincaid, Heather; Kelly, Sean; Liu, David

2017-05-01

We describe here the Early Detection Research Network (EDRN) for Cancer's knowledge environment. It is an open source platform built by NASA's Jet Propulsion Laboratory with contributions from the California Institute of Technology, and Giesel School of Medicine at Dartmouth. It uses tools like Apache OODT, Plone, and Solr, and borrows heavily from JPL's Planetary Data System's ontological infrastructure. It has accumulated data on hundreds of thousands of biospecemens and serves over 1300 registered users across the National Cancer Institute (NCI). The scalable computing infrastructure is built such that we are being able to reach out to other agencies, provide homogeneous access, and provide seamless analytics support and bioinformatics tools through community engagement.

An operational data access infrastructure for accessing integrated environmental and socio-economic data from the Dutch Wadden Sea

NASA Astrophysics Data System (ADS)

De Bruin, T.

2012-12-01

The Wadden Sea, an UNESCO World Heritage Site along the Northern coasts of The Netherlands, Germany and Denmark, is a very valuable, yet also highly vulnerable tidal flats area. Knowledge is key to the sustainable management of the Wadden Sea. This knowledge should be reliable, founded on promptly accessible information and sufficiently broad to integrate both ecological and economic analyses. The knowledge is gained from extensive monotoring of both ecological and socio-economic parameters. Even though many organisations, research institutes, government agencies and NGOs carry out monitoring, there is no central overview of monitoring activities, nor easy access to the resulting data. The 'Wadden Sea Long-Term Ecosystem Research' (WaLTER) project (2011-2015) aims to set-up an integrated monitoring plan for the main environmental and management issues relevant to the Wadden Sea, such as sea-level rise, fisheries management, recreation and industry activities. The WaLTER data access infrastructure will be a distributed system of data providers, with a centralized data access portal. It is based on and makes use of the existing data access infrastructure of the Netherlands National Oceanographic Data Committee (NL-NODC), which has been operational since early 2009. The NL-NODC system is identical to and in fact developed by the European SeaDataNet project, furthering standardisation on a pan-European scale. The presentation will focus on the use of a distributed data access infrastructure to address the needs of different user groups such as policy makers, scientists and the general public.

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.

The SPO11-C631T gene polymorphism and male infertility risk: a meta-analysis.

PubMed

Ren, Zheng-Ju; Ren, Peng-Wei; Yang, Bo; Liao, Jian; Liu, Sheng-Zhuo; Fang, Kun; Ren, Shang-Qing; Liu, Liang-Ren; Dong, Qiang

2017-11-01

To evaluate the association between the SPO11 gene C631T polymorphism and the risk of male infertility. We conducted a search on PubMed, Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), China biology medical literature database (CBM), VIP, and Chinese literature database (Wan Fang) on 31 March 2016. Odds ratio (OR) and 95% confidence interval (95%CI) were used to assess the strength of associations. A total of five studies including 542 cases and 510 controls were involved in this meta-analysis. The pooled results indicated that the SPO11 gene C631T polymorphism was significantly associated with increased risk of male infertility (TT + CT vs. CC: OR = 4.14, 95%CI = 2.48-6.89; CT vs. CC: OR = 4.34, 95%CI = 2.56-7.34; T vs. C: OR = 4.35, 95%CI = 2.58-7.34). Subgroup analysis of different countries proved the relationship between SPO11 gene C631T polymorphism and male infertility risk in Chinese, but not in Iranian peoples. In conclusion, this study suggested that SPO11 gene C631T polymorphism may contribute as a genetic factor susceptible to cause male infertility. Furthermore, more large sample and representative population-based cases and well-matched controls are needed to validate our results.

[Prevalence of suicide ideation among middle school students in China: a systematic analysis of studies between 2000 and 2012].

PubMed

Chang, Wei-wei; Yao, Ying-shui; Yuan, Hui; Chen, Bai-feng; Liang, Ya-li; Chen, Yan; Song, Jian-gen; Li, Jie; Zhu, Yu

2013-05-01

To analyze the prevalence and differences between gender and grades of suicide ideation among middle school students in China from 2000 to 2012 so as to provide basis for suicide prevention among middle school students. Electronic search strategy was carried out, using PubMed, Wanfang Database, VIP Database, China National Knowledge Infrastructure (CNKI) and CBM to collect data on suicide ideation among middle school students. Fixed effects model or random effects model was employed according to statistical tests for the homogeneity. Publication bias was assessed by rank correlation test. 40 papers were included for meta-analysis, with a total sample size of 320 375. The combined prevalence of suicide ideation was 17.99% (95%CI: 16.59% - 19.49%). Prevalence rates of suicide ideation were stratified by factors as gender and grade at school. Pooled prevalence rates on suicide ideation were as follows: 14.71% (95%CI: 13.42% - 16.11%) and 19.92% (95%CI: 19.30% - 21.64%), P < 0.05 for boys and girls;16.94% (95%CI: 15.35% - 18.66%) and 19.01% (95%CI: 17.23% - 20.93%), P < 0.05 for senior or junior high school students, respectively. There were differences in the prevalence of suicide ideation among middle school students between genders and grades in China.

Effects of self-ligating brackets on oral hygiene and discomfort: a systematic review and meta-analysis of randomized controlled clinical trials.

PubMed

Yang, X; Su, N; Shi, Z; Xiang, Z; He, Y; Han, X; Bai, D

2017-02-01

Self-ligating brackets (SLBs) are widely adopted in clinic owing to their claimed superiorities. Here, we collected and analysed all randomized controlled clinical trials (RCTs) comparing SLBs with conventional brackets (CBs) and thereby investigated whether SLBs can relieve discomfort or promote oral hygiene. Electronic databases including MEDLINE, Cochrane Central Register of Controlled Trials, EMBASE, World Health Organization International Clinical Trials Registry Platform, Chinese BioMedical Literature Database and the China National Knowledge Infrastructure were searched to find out RCTs comparing active or passive SLBs with CBs. Two reviewers extracted the data and assessed risks of bias independently. Any disagreement between them was resolved through discussion with a third reviewer. Meta-analysis was conducted on Review Manager 5.3. A total of 12 RCTs with 575 participants were included, and eight of the trials were synthesized quantitatively. Two trials were assessed as low risk of bias, whereas others as unclear risk of bias. Passive SLBs and CBs are not significantly different in plaque control. SLBs and CBs are not significantly different in discomfort reduction at any of four time points (4 h, 24 h, 3 days and 7 days). Clinical evidences from existing RCTs suggest that SLBs do not outperform CBs in reliving discomfort or promoting oral health in clinic. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

A Meta-Analysis of the Efficacy and Safety of Using Oil Massage to Promote Infant Growth.

PubMed

Li, Xiwen; Zhong, Qingling; Tang, Longhua

2016-01-01

The synthesizing evidence on the effectiveness of using oil massage to promote the growth of infants is still lacking. This paper aims to determine whether oil massage can promote the physical and neurobehavioral growth of infants according to variables and to evaluate whether oil massage is safe for infant skin. The randomized controlled trials, clinical controlled trials and quasi-experimentally designed trials published prior to or in 2014 were searched according to predetermined inclusion criteria and exclusion criteria in Medline, PubMed, Ovid, the Cochran Library, and Chinese databases, including the China National Knowledge Infrastructure, Wan Fang database and VIP journal integration platform. Besides, the grey lectures were searched as well through Open Grey, GrayLIT Network and Clinical Trials.gov. Eight studies out of 625 retrieved articles were eligible for inclusion. Oil massage increased the infant weights, lengths and head circumferences. However, it did not promote a significant advantage in neurobehavioral scores or cause a significant risk of adverse skin reactions. The core mechanisms and standard procedures of oil massage as well as the preferred oil type should be the focus of future nursing practice and research. Oil massage may effectively improve the physical growth of infants, and it presents a limited risk of adverse skin reactions. However, the relationship between neurodevelopment and oil massage requires further study. Copyright © 2016 Elsevier Inc. All rights reserved.

Transversal changes, space closure, and efficiency of conventional and self-ligating appliances : A quantitative systematic review.

PubMed

Yang, Xianrui; Xue, Chaoran; He, Yiruo; Zhao, Mengyuan; Luo, Mengqi; Wang, Peiqi; Bai, Ding

2018-01-01

Self-ligating brackets (SLBs) were compared to conventional brackets (CBs) regarding their effectiveness on transversal changes and space closure, as well as the efficiency of alignment and treatment time. All previously published randomized controlled clinical trials (RCTs) dealing with SLBs and CBs were searched via electronic databases, e.g., MEDLINE, Cochrane Central Register of Controlled Trials, EMBASE, World Health Organization International Clinical Trials Registry Platform, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure. In addition, relevant journals were searched manually. Data extraction was performed independently by two reviewers and assessment of the risk of bias was executed using Cochrane Collaboration's tool. Discrepancies were resolved by discussion with a third reviewer. Meta-analyses were conducted using Review Manager (version 5.3). A total of 976 patients in 17 RCTs were included in the study, of which 11 could be produced quantitatively and 2 showed a low risk of bias. Meta-analyses were found to favor CB for mandibular intercanine width expansion, while passive SLBs were more effective in posterior expansion. Moreover, CBs had an apparent advantage during short treatment periods. However, SLBs and CBs did not differ in closing spaces. Based on current clinical evidence obtained from RCTs, SLBs do not show clinical superiority compared to CBs in expanding transversal dimensions, space closure, or orthodontic efficiency. Further high-level studies involving randomized, controlled, clinical trials are warranted to confirm these results.

Panax notoginseng Preparations for Unstable Angina Pectoris: A Systematic Review and Meta-Analysis.

PubMed

Song, Haiying; Wang, Peili; Liu, Jiangang; Wang, Chenglong

2017-08-01

This paper assessed the evidence of Panax notoginseng preparations in patients suffering from UAP using meta-analysis and systematic review methods. Methods were according to the Cochrane Handbook and analysed using Revman 5.3. A search of PubMed, Cochrane Library, Embase, MEDLINE, Chinese national knowledge infrastructure (CNKI), Vip information database, Wanfang data and Chinese Biomedical Literature Database (SinoMed) was conducted to identify randomized controlled trials (RCTs) of P. notoginseng preparations on UAP regardless of blinding, sex and language. The outcomes include all-cause mortality, cardiac mortality, cardiovascular events, UAP symptoms, improvement of electrocardiogram and adverse events. Eighteen RCTs including 1828 patients were identified. The level of reporting is generally poor. Among 18 studies, 16 studies were prescribed P. notoginseng injections, and two studies were oral P. notoginseng preparations. Reduction of cardiovascular events (RR:0.35;95% CI:0.13 to 0.94), alleviation of angina pectoris symptoms (RR:1.23;95% CI 1.18 to 1.29), improvement of ECG (RR:1.22;95% CI 1.15 to 1.28) and reduced frequency of angina pectoris (MD:-1.48; 95% CI -2.49 to -0.48) were observed. Cardiac mortality and duration of angina pectoris were not statistically significant. Panax notoginseng is beneficial to UAP patients; the results of these reviews may have important implications to clinical work. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Impact of operation details on hydrocephalus after decompressive craniectomy

PubMed Central

Wang, Qiang-Ping; Ma, Jun-Peng; Zhou, Zhang-Ming; You, Chao

2016-01-01

Objective: To evaluate the correlation between the distance of craniectomy from the midline and hydrocephalus after DC. Methods: The following electronic databases were searched from their inception to June 2015: Cochrane Library, MEDLINE, Science Direct, EMBASE, Scopus, Google Scholar, the Chinese Biomedical Database (CBM), and the Chinese National Knowledge Infrastructure (CNKI). All randomized clinical trials, prospective cohort, retrospective observational cohort, and case-control studies investigating the relationship between distance of craniectomy from the midline and hydrocephalus after DC were enrolled. The Cochrane Collaboration’s software RevMan 5.3 was used for meta-analysis. Results: Six retrospective cohort studies involving 462 participants were included. Pooled analysis of 4 studies suggested that craniectomy close to the midline (<25 mm) was associated with a significantly increased risk of postoperative hydrocephalus (odds ratio [OR] = 3.61, 95% confidence interval [CI]: 1.3 - 9.97, p=0.01). However, meta-analysis of 4 studies did not find statistical differences when comparing the distance of craniectomy from the midline in the hydrocephalus group and that in the non-hydrocephalus group (OR = −0.14, 95% CI: −0.44 - 0.15, p=0.34). Conclusions: Available evidence was insufficient to support the theory that craniectomy close to the midline increases the risk of developing hydrocephalus after DC. Well-conducted randomized clinical trials are required to verify this issue. PMID:26818161

A protein relational database and protein family knowledge bases to facilitate structure-based design analyses.

PubMed

Mobilio, Dominick; Walker, Gary; Brooijmans, Natasja; Nilakantan, Ramaswamy; Denny, R Aldrin; Dejoannis, Jason; Feyfant, Eric; Kowticwar, Rupesh K; Mankala, Jyoti; Palli, Satish; Punyamantula, Sairam; Tatipally, Maneesh; John, Reji K; Humblet, Christine

2010-08-01

The Protein Data Bank is the most comprehensive source of experimental macromolecular structures. It can, however, be difficult at times to locate relevant structures with the Protein Data Bank search interface. This is particularly true when searching for complexes containing specific interactions between protein and ligand atoms. Moreover, searching within a family of proteins can be tedious. For example, one cannot search for some conserved residue as residue numbers vary across structures. We describe herein three databases, Protein Relational Database, Kinase Knowledge Base, and Matrix Metalloproteinase Knowledge Base, containing protein structures from the Protein Data Bank. In Protein Relational Database, atom-atom distances between protein and ligand have been precalculated allowing for millisecond retrieval based on atom identity and distance constraints. Ring centroids, centroid-centroid and centroid-atom distances and angles have also been included permitting queries for pi-stacking interactions and other structural motifs involving rings. Other geometric features can be searched through the inclusion of residue pair and triplet distances. In Kinase Knowledge Base and Matrix Metalloproteinase Knowledge Base, the catalytic domains have been aligned into common residue numbering schemes. Thus, by searching across Protein Relational Database and Kinase Knowledge Base, one can easily retrieve structures wherein, for example, a ligand of interest is making contact with the gatekeeper residue.

A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon.

PubMed

Tucker Lima, Joanna M; Valle, Denis; Moretto, Evandro Mateus; Pulice, Sergio Mantovani Paiva; Zuca, Nadia Lucia; Roquetti, Daniel Rondinelli; Beduschi, Liviam Elizabeth Cordeiro; Praia, Amanda Salles; Okamoto, Claudia Parucce Franco; da Silva Carvalhaes, Vinicius Leite; Branco, Evandro Albiach; Barbezani, Bruna; Labandera, Emily; Timpe, Kelsie; Kaplan, David

2016-08-30

Recognized as one of the world's most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region's complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon's tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon.

A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon

PubMed Central

Tucker Lima, Joanna M.; Valle, Denis; Moretto, Evandro Mateus; Pulice, Sergio Mantovani Paiva; Zuca, Nadia Lucia; Roquetti, Daniel Rondinelli; Beduschi, Liviam Elizabeth Cordeiro; Praia, Amanda Salles; Okamoto, Claudia Parucce Franco; da Silva Carvalhaes, Vinicius Leite; Branco, Evandro Albiach; Barbezani, Bruna; Labandera, Emily; Timpe, Kelsie; Kaplan, David

2016-01-01

Recognized as one of the world’s most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region’s complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon’s tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon. PMID:27575915

A Computational framework for telemedicine.

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

Foster, I.; von Laszewski, G.; Thiruvathukal, G. K.

1998-07-01

Emerging telemedicine applications require the ability to exploit diverse and geographically distributed resources. Highspeed networks are used to integrate advanced visualization devices, sophisticated instruments, large databases, archival storage devices, PCs, workstations, and supercomputers. This form of telemedical environment is similar to networked virtual supercomputers, also known as metacomputers. Metacomputers are already being used in many scientific application areas. In this article, we analyze requirements necessary for a telemedical computing infrastructure and compare them with requirements found in a typical metacomputing environment. We will show that metacomputing environments can be used to enable a more powerful and unified computational infrastructure formore » telemedicine. The Globus metacomputing toolkit can provide the necessary low level mechanisms to enable a large scale telemedical infrastructure. The Globus toolkit components are designed in a modular fashion and can be extended to support the specific requirements for telemedicine.« less

Preparing for local adaptation: Understanding flood risk perceptions in Pittsburgh

NASA Astrophysics Data System (ADS)

Wong-Parodi, G.; Klima, K.

2016-12-01

In cities such as Pittsburgh, aging and insufficient infrastructure contributes to flashfloods and numerous combined sewer overflows annually, contaminating streets, basements and waterways. Climate change is expected to further exacerbate this problem by causing more intense and more frequent extreme events in Western Pennsylvania. For a storm water adaptation plan to be implemented successfully, the City of Pittsburgh will need informed public support. One way to achieve public understanding and support is through effective communication of the risks, benefits, and uncertainties of local flooding hazards and adaptation methods. In order to develop risk communications effectively, the City and its partners will need to know what knowledge and attitudes the residents of Pittsburgh already hold about flood risks. To that end we surveyed 1,376 Pittsburgh residents on a variety of flood risk topics through an online or paper survey in Fall 2015. On balance, residents were relatively knowledgeable about storm water and see the City's current infrastructure as being inadequate to meet future risk. Moreover, they see the risk of runoff events as increasing and especially among those who live in hazardous flood areas. Residents expressed interest in having a dedicated fund to deal with runoff events. Among those queried about their willingness-to-pay, those asked to pay $15 were most interested in a dedicated fund and for green infrastructure (as opposed to gray infrastructure) in particular. Finally, while most residents favored green infrastructure in terms of its attractiveness and perceived affects on mitigating climate change many did not see it as effective at addressing flooding as gray infrastructure. We found people understand the risk and are open to doing something about it. However, more guidance and information on appropriate ways to adapt locally in terms that make sense to residents could enhance informed support for adaptation measures.

Multiple imputation as one tool to provide longitudinal databases for modelling human height and weight development.

PubMed

Aßmann, C

2016-06-01

Besides large efforts regarding field work, provision of valid databases requires statistical and informational infrastructure to enable long-term access to longitudinal data sets on height, weight and related issues. To foster use of longitudinal data sets within the scientific community, provision of valid databases has to address data-protection regulations. It is, therefore, of major importance to hinder identifiability of individuals from publicly available databases. To reach this goal, one possible strategy is to provide a synthetic database to the public allowing for pretesting strategies for data analysis. The synthetic databases can be established using multiple imputation tools. Given the approval of the strategy, verification is based on the original data. Multiple imputation by chained equations is illustrated to facilitate provision of synthetic databases as it allows for capturing a wide range of statistical interdependencies. Also missing values, typically occurring within longitudinal databases for reasons of item non-response, can be addressed via multiple imputation when providing databases. The provision of synthetic databases using multiple imputation techniques is one possible strategy to ensure data protection, increase visibility of longitudinal databases and enhance the analytical potential.

A Technical Infrastructure to Integrate Dynamics AX ERP and CRM into University Curriculum

ERIC Educational Resources Information Center

Wimmer, Hayden; Hall, Kenneth

2016-01-01

Enterprise Resource Planning and Customer Relationship Management are becoming important topics at the university level, and are increasingly receiving course-level attention in the curriculum. In fact, the Information Systems Body of Knowledge specifically identifies Enterprise Architecture as an Information Systems-specific knowledge area. The…

Assessing Our Ability to Design and Plan Green Energy Technologies

ERIC Educational Resources Information Center

Vanderburg, Willem H.

2011-01-01

In earlier days, craftspersons sustained by the experiences of countless generations embodied in a tradition were able to create extraordinarily appropriate artifacts. Today, these traditions have largely disappeared to make way for knowledge infrastructures whose "components" are the bodies of knowledge created, advanced, and applied by…

Collaborative Knowledge Creation in the Higher Education Academic Library

ERIC Educational Resources Information Center

Lee, Young S.; Schottenfeld, Matthew A.

2014-01-01

Collaboration has become a core competency of the 21st century workforce. Thus, the need of collaboration is reshaping the academic library in higher education to produce competent future workforce. To encourage collaboration in the academic library, knowledge commons that integrate technology to infrastructure and system furniture are introduced.…

Knowledge Work in Distributed Environments: Issues and Illusions.

ERIC Educational Resources Information Center

Pyoria, Pasi

2003-01-01

Survey data from 1,775 workers indicate that, although Finland has a sophisticated technological infrastructure, only 4 percent of Finnish wage earners regard themselves as doing telework, and only 4 percent has tried it. Teleworking was rare even among those considered knowledge workers. (Contains 40 references.) (Author/JOW)

Rutgers/NJDOT Pavement Resource Program (NJDOT Statewide GPR Project Network GPR Data Collection and Analysis Update of HPMA GPR Database)

DOT National Transportation Integrated Search

2008-05-01

Center for Advanced Transportation Infrastructure (CAIT) of Rutgers University is mandated to conduct Ground Penetrating Radar (GPR) surveys to update the NJDOT's pavement management system with GPR measured pavement layer thicknesses. Based on the r...

Canada-U.S. Relations

DTIC Science & Technology

2009-05-12

56 RBC Financial Group, Daily Forex Fundamentals, February 27, 2009. [ http...www.actionforex.com/fundamental- analysis/daily- forex -fundamentals/canada%27s-fourth%11quarter-current-account-moves-into-deficit-after-nine-years- of-surpluses...sharing, infrastructure improvements, improvement of compatible immigration databases , visa policy coordination, common biometric identifiers in

Integration of the NRL Digital Library.

ERIC Educational Resources Information Center

King, James

2001-01-01

The Naval Research Laboratory (NRL) Library has identified six primary areas that need improvement: infrastructure, InfoWeb, TORPEDO Ultra, journal data management, classified data, and linking software. It is rebuilding InfoWeb and TORPEDO Ultra as database-driven Web applications, upgrading the STILAS library catalog, and creating other support…

Knowledge representation in metabolic pathway databases.

PubMed

Stobbe, Miranda D; Jansen, Gerbert A; Moerland, Perry D; van Kampen, Antoine H C

2014-05-01

The accurate representation of all aspects of a metabolic network in a structured format, such that it can be used for a wide variety of computational analyses, is a challenge faced by a growing number of researchers. Analysis of five major metabolic pathway databases reveals that each database has made widely different choices to address this challenge, including how to deal with knowledge that is uncertain or missing. In concise overviews, we show how concepts such as compartments, enzymatic complexes and the direction of reactions are represented in each database. Importantly, also concepts which a database does not represent are described. Which aspects of the metabolic network need to be available in a structured format and to what detail differs per application. For example, for in silico phenotype prediction, a detailed representation of gene-protein-reaction relations and the compartmentalization of the network is essential. Our analysis also shows that current databases are still limited in capturing all details of the biology of the metabolic network, further illustrated with a detailed analysis of three metabolic processes. Finally, we conclude that the conceptual differences between the databases, which make knowledge exchange and integration a challenge, have not been resolved, so far, by the exchange formats in which knowledge representation is standardized.

[Simulation model for estimating the cancer care infrastructure required by the public health system].

PubMed

Gomes Junior, Saint Clair Santos; Almeida, Rosimary Terezinha

2009-02-01

To develop a simulation model using public data to estimate the cancer care infrastructure required by the public health system in the state of São Paulo, Brazil. Public data from the Unified Health System database regarding cancer surgery, chemotherapy, and radiation therapy, from January 2002-January 2004, were used to estimate the number of cancer cases in the state. The percentages recorded for each therapy in the Hospital Cancer Registry of Brazil were combined with the data collected from the database to estimate the need for services. Mixture models were used to identify subgroups of cancer cases with regard to the length of time that chemotherapy and radiation therapy were required. A simulation model was used to estimate the infrastructure required taking these parameters into account. The model indicated the need for surgery in 52.5% of the cases, radiation therapy in 42.7%, and chemotherapy in 48.5%. The mixture models identified two subgroups for radiation therapy and four subgroups for chemotherapy with regard to mean usage time for each. These parameters allowed the following estimated infrastructure needs to be made: 147 operating rooms, 2 653 operating beds, 297 chemotherapy chairs, and 102 radiation therapy devices. These estimates suggest the need for a 1.2-fold increase in the number of chemotherapy services and a 2.4-fold increase in the number of radiation therapy services when compared with the parameters currently used by the public health system. A simulation model, such as the one used in the present study, permits better distribution of health care resources because it is based on specific, local needs.

Infrastructure resources for clinical research in amyotrophic lateral sclerosis.

PubMed

Sherman, Alexander V; Gubitz, Amelie K; Al-Chalabi, Ammar; Bedlack, Richard; Berry, James; Conwit, Robin; Harris, Brent T; Horton, D Kevin; Kaufmann, Petra; Leitner, Melanie L; Miller, Robert; Shefner, Jeremy; Vonsattel, Jean Paul; Mitsumoto, Hiroshi

2013-05-01

Clinical trial networks, shared clinical databases, and human biospecimen repositories are examples of infrastructure resources aimed at enhancing and expediting clinical and/or patient oriented research to uncover the etiology and pathogenesis of amyotrophic lateral sclerosis (ALS), a rapidly progressive neurodegenerative disease that leads to the paralysis of voluntary muscles. The current status of such infrastructure resources, as well as opportunities and impediments, were discussed at the second Tarrytown ALS meeting held in September 2011. The discussion focused on resources developed and maintained by ALS clinics and centers in North America and Europe, various clinical trial networks, U.S. government federal agencies including the National Institutes of Health (NIH), the Agency for Toxic Substances and Disease Registry (ATSDR) and the Centers for Disease Control and Prevention (CDC), and several voluntary disease organizations that support ALS research activities. Key recommendations included 1) the establishment of shared databases among individual ALS clinics to enhance the coordination of resources and data analyses; 2) the expansion of quality-controlled human biospecimen banks; and 3) the adoption of uniform data standards, such as the recently developed Common Data Elements (CDEs) for ALS clinical research. The value of clinical trial networks such as the Northeast ALS (NEALS) Consortium and the Western ALS (WALS) Consortium was recognized, and strategies to further enhance and complement these networks and their research resources were discussed.

Physicists Get INSPIREd: INSPIRE Project and Grid Applications

NASA Astrophysics Data System (ADS)

Klem, Jukka; Iwaszkiewicz, Jan

2011-12-01

INSPIRE is the new high-energy physics scientific information system developed by CERN, DESY, Fermilab and SLAC. INSPIRE combines the curated and trusted contents of SPIRES database with Invenio digital library technology. INSPIRE contains the entire HEP literature with about one million records and in addition to becoming the reference HEP scientific information platform, it aims to provide new kinds of data mining services and metrics to assess the impact of articles and authors. Grid and cloud computing provide new opportunities to offer better services in areas that require large CPU and storage resources including document Optical Character Recognition (OCR) processing, full-text indexing of articles and improved metrics. D4Science-II is a European project that develops and operates an e-Infrastructure supporting Virtual Research Environments (VREs). It develops an enabling technology (gCube) which implements a mechanism for facilitating the interoperation of its e-Infrastructure with other autonomously running data e-Infrastructures. As a result, this creates the core of an e-Infrastructure ecosystem. INSPIRE is one of the e-Infrastructures participating in D4Science-II project. In the context of the D4Science-II project, the INSPIRE e-Infrastructure makes available some of its resources and services to other members of the resulting ecosystem. Moreover, it benefits from the ecosystem via a dedicated Virtual Organization giving access to an array of resources ranging from computing and storage resources of grid infrastructures to data and services.

Building Exposure Maps Of Urban Infrastructure And Crop Fields In The Mekong River Basin

NASA Astrophysics Data System (ADS)

Haas, E.; Weichselbaum, J.; Gangkofner, U.; Miltzer, J.; Wali, A.

2013-12-01

In the frame of the Integrated Water Resources Management (IWRM) initiative for the Mekong river basin World Bank is collaborating with the Mekong River Commission and governmental organizations in Cambodia, Lao PDR, Thailand and Vietnam to build national and regional capacities for managing the risks associated with natural disasters, such as floods, flash floods and droughts. Within ‘eoworld', a joint initiative set up by ESA and World Bank to foster the use of Earth Observation (EO) for sustainable development work, a comprehensive database of elements at risk in the Lower Mekong river basin has been established by GeoVille, including urban infrastructure and crops (primarily rice paddies). In the long term, this exposure information shall be fed into an open-source multi- hazard modeling tool for risk assessment along the Mekong River, which then shall be used by national stakeholders as well as insurance and financial institutions for planning, disaster preparedness and emergency management. Earth Observation techniques can provide objective, synoptic and repetitive observations of elements at risk including buildings, infrastructure and crops. Through the fusion of satellite-based with in-situ data from field surveys and local knowledge (e.g. on building materials) features at risk can be characterised and mapped with high accuracy. Earth Observation data utilised comprise bi-weekly Envisat ASAR imagery programmed for a period of 9 months in 2011 to map the development of the rice cultivation area, identify predominant cropping systems (wet-season vs. dry season cultivation), crop cycles (single /double / triple crop per year), date of emergence/harvest and the distinction between rice planted under intensive (SRI) vs. regular rice cultivation techniques. Very High Resolution (VHR) optical data from SPOT, KOMPSAT and QuickBird were used for mapping of buildings and infrastructure, such as building footprints, residential / commercial areas, industrial buildings, main infrastructure, and other public assets. A key input to this work was data collected by the project team in the field with the purpose of scoping information about buildings including material, height (number of stories), construction technique, and floor area. A high resolution satellite-based Digital Elevation Model was additionally generated to provide surface elevations of vegetation and man-made objects with a vertical accuracy of 10 m. By using this methodology thousands of buildings and infrastructure features were mapped, clearly indicating the location and characteristics of the assets. Exposure maps were complemented with the analysis of historical flood and drought events using ERS and Envisat ASAR radar data for historical flood mapping alongside with vegetation index data from SPOT-VEGETATION and NOAA-AVHRR, concerning drought events.

Towards an integrated European strong motion data distribution

NASA Astrophysics Data System (ADS)

Luzi, Lucia; Clinton, John; Cauzzi, Carlo; Puglia, Rodolfo; Michelini, Alberto; Van Eck, Torild; Sleeman, Reinhoud; Akkar, Sinan

2013-04-01

Recent decades have seen a significant increase in the quality and quantity of strong motion data collected in Europe, as dense and often real-time and continuously monitored broadband strong motion networks have been constructed in many nations. There has been a concurrent increase in demand for access to strong motion data not only from researchers for engineering and seismological studies, but also from civil authorities and seismic networks for the rapid assessment of ground motion and shaking intensity following significant earthquakes (e.g. ShakeMaps). Aside from a few notable exceptions on the national scale, databases providing access to strong motion data has not appeared to keep pace with these developments. In the framework of the EC infrastructure project NERA (2010 - 2014), that integrates key research infrastructures in Europe for monitoring earthquakes and assessing their hazard and risk, the network activity NA3 deals with the networking of acceleration networks and SM data. Within the NA3 activity two infrastructures are being constructed: i) a Rapid Response Strong Motion (RRSM) database, that following a strong event, automatically parameterises all available on-scale waveform data within the European Integrated waveform Data Archives (EIDA) and makes the waveforms easily available to the seismological community within minutes of an event; and ii) a European Strong Motion (ESM) database of accelerometric records, with associated metadata relevant to earthquake engineering and seismology research communities, using standard, manual processing that reflects the state of the art and research needs in these fields. These two separate repositories form the core infrastructures being built to distribute strong motion data in Europe in order to guarantee rapid and long-term availability of high quality waveform data to both the international scientific community and the hazard mitigation communities. These infrastructures will provide the access to strong motion data in an eventual EPOS seismological service. A working group on Strong Motion data is being created at ORFEUS in 2013. This body, consisting of experts in strong motion data collection, processing and research from across Europe, will provide the umbrella organisation that will 1) have the political clout to negotiate data sharing agreements with strong motion data providers and 2) manage the software during a transition from the end of NERA to the EPOS community. We expect the community providing data to the RRSM and ESM will gradually grow, under the supervision of ORFEUS, and eventually include strong motion data from networks from all European countries that can have an open data policy.

Oceanography Information System of Spanish Institute of Oceanography (IEO)

NASA Astrophysics Data System (ADS)

Tello, Olvido; Gómez, María; González, Sonsoles

2016-04-01

Since 1914, the Spanish Institute of Oceanography (IEO) performs multidisciplinary studies of the marine environment. In same case are systematic studies and in others are specific studies for special requirements (El Hierro submarine volcanic episode, spill Prestige, others.). Different methodologies and data acquisition techniques are used depending on studies aims. The acquired data are stored and presented in different formats. The information is organized into different databases according to the subject and the variables represented (geology, fisheries, aquaculture, pollution, habitats, etc.). Related to physical and chemical oceanography data, in 1964 was created the DATA CENTER of IEO (CEDO), in order to organize the data about physical and chemical variables, to standardize this information and to serve the international data network SeaDataNet. www.seadatanet.org. This database integrates data about temperature, salinity, nutrients, and tidal data. CEDO allows consult and download the data. http://indamar.ieo.es On the other hand, related to data about marine species in 1999 was developed SIRENO DATABASE. All data about species collected in oceanographic surveys carried out by researches of IEO, and data from observers on fishing vessels are incorporated in SIRENO database. In this database is stored catch data, biomass, abundance, etc. This system is based on architecture ORACLE. Due to the large amount of information collected over the 100 years of IEO history, there is a clear need to organize, standardize, integrate and relate the different databases and information, and to provide interoperability and access to the information. Consequently, in 2000 it emerged the first initiative to organize the IEO spatial information in an Oceanography Information System, based on a Geographical Information System (GIS). The GIS was consolidated as IEO institutional GIS and was created the Spatial Data Infrastructure of IEO (IDEO) following trend of INSPIRE. All data included in the GIS have their corresponding metadata about ISO19115 and INSPIRE. IDEO is based on Web services, Quality of Services, Open standards, ISO (OGC) and INSPIRE standards, and both provide access to the geographical marine information of IEO. The GIS allows the information to be organized, visualized, consulted and analyzed. The data from different IEO databases are integrated into a GIS corporate Geodatabase (Esri format). This tool is essential in the decision making of aspects like: - Protection of marine environment - Sustainable management of resources - Natural Hazards. - Marine spatial planning. Examples of the use of GIS as a spatial analysis tool are: - Mud volcanoes explored in LIFE-INDEMARES project. - Cartographic series about Spanish continental shelf, developed from data integrated in IEO marine GIS, acquired from oceanographic surveys in ESPACE project. - Cartography developed from the information gathered in Initial Assessment of Marine Strategy Framework Directive. - Studies of natural hazards related to submarine canyons in southeast region marine Spanish. Currently the IEO is participating in many European initiatives, especially in several lots of EMODNET. The IEO besides is working in consonance with INSPIRE, Growth Blue, Horizon 2020, etc., to contribute to, the knowledge of marine environment, its protection and its spatial planning are extremely relevant issues. In order to facilitate the access to the Spatial Data Infrastructure of IEO, the IEO Geoportal was developed in 2012. It mainly involves a metadata catalog, access to the data viewers and Web Services of IDEO. http://www.geo-ideo.ieo.es/geoportalideo/catalog/main/home.page

OpenFlyData: an exemplar data web integrating gene expression data on the fruit fly Drosophila melanogaster.

PubMed

Miles, Alistair; Zhao, Jun; Klyne, Graham; White-Cooper, Helen; Shotton, David

2010-10-01

Integrating heterogeneous data across distributed sources is a major requirement for in silico bioinformatics supporting translational research. For example, genome-scale data on patterns of gene expression in the fruit fly Drosophila melanogaster are widely used in functional genomic studies in many organisms to inform candidate gene selection and validate experimental results. However, current data integration solutions tend to be heavy weight, and require significant initial and ongoing investment of effort. Development of a common Web-based data integration infrastructure (a.k.a. data web), using Semantic Web standards, promises to alleviate these difficulties, but little is known about the feasibility, costs, risks or practical means of migrating to such an infrastructure. We describe the development of OpenFlyData, a proof-of-concept system integrating gene expression data on D. melanogaster, combining Semantic Web standards with light-weight approaches to Web programming based on Web 2.0 design patterns. To support researchers designing and validating functional genomic studies, OpenFlyData includes user-facing search applications providing intuitive access to and comparison of gene expression data from FlyAtlas, the BDGP in situ database, and FlyTED, using data from FlyBase to expand and disambiguate gene names. OpenFlyData's services are also openly accessible, and are available for reuse by other bioinformaticians and application developers. Semi-automated methods and tools were developed to support labour- and knowledge-intensive tasks involved in deploying SPARQL services. These include methods for generating ontologies and relational-to-RDF mappings for relational databases, which we illustrate using the FlyBase Chado database schema; and methods for mapping gene identifiers between databases. The advantages of using Semantic Web standards for biomedical data integration are discussed, as are open issues. In particular, although the performance of open source SPARQL implementations is sufficient to query gene expression data directly from user-facing applications such as Web-based data fusions (a.k.a. mashups), we found open SPARQL endpoints to be vulnerable to denial-of-service-type problems, which must be mitigated to ensure reliability of services based on this standard. These results are relevant to data integration activities in translational bioinformatics. The gene expression search applications and SPARQL endpoints developed for OpenFlyData are deployed at http://openflydata.org. FlyUI, a library of JavaScript widgets providing re-usable user-interface components for Drosophila gene expression data, is available at http://flyui.googlecode.com. Software and ontologies to support transformation of data from FlyBase, FlyAtlas, BDGP and FlyTED to RDF are available at http://openflydata.googlecode.com. SPARQLite, an implementation of the SPARQL protocol, is available at http://sparqlite.googlecode.com. All software is provided under the GPL version 3 open source license.

How should we assess knowledge translation in research organizations; designing a knowledge translation self-assessment tool for research institutes (SATORI)

PubMed Central

2011-01-01

Background The knowledge translation self-assessment tool for research institutes (SATORI) was designed to assess the status of knowledge translation in research institutes. The objective was, to identify the weaknesses and strengths of knowledge translation in research centres and faculties associated with Tehran University of Medical Sciences (TUMS). Methods The tool, consisting of 50 statements in four main domains, was used in 20 TUMS-affiliated research centres and departments after its reliability was established. It was completed in a group discussion by the members of the research council, researchers and research users' representatives from each centre and/or department. Results The mean score obtained in the four domains of 'The question of research', 'Knowledge production', 'Knowledge transfer' and 'Promoting the use of evidence' were 2.26, 2.92, 2 and 1.89 (out of 5) respectively. Nine out of 12 interventional priorities with the lowest quartile score were related to knowledge transfer resources and strategies, whereas eight of them were in the highest quartile and related to 'The question of research' and 'Knowledge production'. Conclusions The self-assessment tool identifies the gaps in capacity and infrastructure of knowledge translation support within research organizations. Assessment of research institutes using SATORI pointed out that strengthening knowledge translation through provision of financial support for knowledge translation activities, creating supportive and facilitating infrastructures, and facilitating interactions between researchers and target audiences to exchange questions and research findings are among the priorities of research centres and/or departments. PMID:21342517

Knowledge acquisition to qualify Unified Medical Language System interconceptual relationships.

PubMed Central

Le Duff, F.; Burgun, A.; Cleret, M.; Pouliquen, B.; Barac'h, V.; Le Beux, P.

2000-01-01

Adding automatically relations between concepts from a database to a knowledge base such as the Unified Medical Language System can be very useful to increase the consistency of the latter one. But the transfer of qualified relationships is more interesting. The most important interest of these new acquisitions is that the UMLS became more compliant and medically pertinent to be used in different medical applications. This paper describes the possibility to inherit automatically medical inter-conceptual relationships qualifiers from a disease description included into a database and to integrate them into the UMLS knowledge base. The paper focuses on the transmission of knowledge from a French medical database to an English one. PMID:11079930

Automated extraction of knowledge for model-based diagnostics

NASA Technical Reports Server (NTRS)

Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.

1990-01-01

The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.

EMEN2: An Object Oriented Database and Electronic Lab Notebook

PubMed Central

Rees, Ian; Langley, Ed; Chiu, Wah; Ludtke, Steven J.

2013-01-01

Transmission electron microscopy and associated methods such as single particle analysis, 2-D crystallography, helical reconstruction and tomography, are highly data-intensive experimental sciences, which also have substantial variability in experimental technique. Object-oriented databases present an attractive alternative to traditional relational databases for situations where the experiments themselves are continually evolving. We present EMEN2, an easy to use object-oriented database with a highly flexible infrastructure originally targeted for transmission electron microscopy and tomography, which has been extended to be adaptable for use in virtually any experimental science. It is a pure object-oriented database designed for easy adoption in diverse laboratory environments, and does not require professional database administration. It includes a full featured, dynamic web interface in addition to APIs for programmatic access. EMEN2 installations currently support roughly 800 scientists worldwide with over 1/2 million experimental records and over 20 TB of experimental data. The software is freely available with complete source. PMID:23360752

Gene regulation knowledge commons: community action takes care of DNA binding transcription factors

PubMed Central

Tripathi, Sushil; Vercruysse, Steven; Chawla, Konika; Christie, Karen R.; Blake, Judith A.; Huntley, Rachael P.; Orchard, Sandra; Hermjakob, Henning; Thommesen, Liv; Lægreid, Astrid; Kuiper, Martin

2016-01-01

A large gap remains between the amount of knowledge in scientific literature and the fraction that gets curated into standardized databases, despite many curation initiatives. Yet the availability of comprehensive knowledge in databases is crucial for exploiting existing background knowledge, both for designing follow-up experiments and for interpreting new experimental data. Structured resources also underpin the computational integration and modeling of regulatory pathways, which further aids our understanding of regulatory dynamics. We argue how cooperation between the scientific community and professional curators can increase the capacity of capturing precise knowledge from literature. We demonstrate this with a project in which we mobilize biological domain experts who curate large amounts of DNA binding transcription factors, and show that they, although new to the field of curation, can make valuable contributions by harvesting reported knowledge from scientific papers. Such community curation can enhance the scientific epistemic process. Database URL: http://www.tfcheckpoint.org PMID:27270715

Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method

NASA Astrophysics Data System (ADS)

Wang, Bei; Sugi, Takenao; Kawana, Fusae; Wang, Xingyu; Nakamura, Masatoshi

In this study, an expert knowledge-based automatic sleep stage determination system working on a multi-valued decision making method is developed. Visual inspection by a qualified clinician is adopted to obtain the expert knowledge database. The expert knowledge database consists of probability density functions of parameters for various sleep stages. Sleep stages are determined automatically according to the conditional probability. Totally, four subjects were participated. The automatic sleep stage determination results showed close agreements with the visual inspection on sleep stages of awake, REM (rapid eye movement), light sleep and deep sleep. The constructed expert knowledge database reflects the distributions of characteristic parameters which can be adaptive to variable sleep data in hospitals. The developed automatic determination technique based on expert knowledge of visual inspection can be an assistant tool enabling further inspection of sleep disorder cases for clinical practice.

Positioning infrastructure and technologies for low-carbon urbanization

NASA Astrophysics Data System (ADS)

Chester, Mikhail V.; Sperling, Josh; Stokes, Eleanor; Allenby, Braden; Kockelman, Kara; Kennedy, Christopher; Baker, Lawrence A.; Keirstead, James; Hendrickson, Chris T.

2014-10-01

The expected urbanization of the planet in the coming century coupled with aging infrastructure in developed regions, increasing complexity of man-made systems, and pressing climate change impacts have created opportunities for reassessing the role of infrastructure and technologies in cities and how they contribute to greenhouse gas (GHG) emissions. Modern urbanization is predicated on complex, increasingly coupled infrastructure systems, and energy use continues to be largely met from fossil fuels. Until energy infrastructures evolve away from carbon-based fuels, GHG emissions are critically tied to the urbanization process. Further complicating the challenge of decoupling urban growth from GHG emissions are lock-in effects and interdependencies. This paper synthesizes state-of-the-art thinking for transportation, fuels, buildings, water, electricity, and waste systems and finds that GHG emissions assessments tend to view these systems as static and isolated from social and institutional systems. Despite significant understanding of methods and technologies for reducing infrastructure-related GHG emissions, physical, institutional, and cultural constraints continue to work against us, pointing to knowledge gaps that must be addressed. This paper identifies three challenge themes to improve our understanding of the role of infrastructure and technologies in urbanization processes and position these increasingly complex systems for low-carbon growth. The challenges emphasize how we can reimagine the role of infrastructure in the future and how people, institutions, and ecological systems interface with infrastructure.

Computer networks for financial activity management, control and statistics of databases of economic administration at the Joint Institute for Nuclear Research

NASA Astrophysics Data System (ADS)

Tyupikova, T. V.; Samoilov, V. N.

2003-04-01

Modern information technologies urge natural sciences to further development. But it comes together with evaluation of infrastructures, to spotlight favorable conditions for the development of science and financial base in order to prove and protect legally new research. Any scientific development entails accounting and legal protection. In the report, we consider a new direction in software, organization and control of common databases on the example of the electronic document handling, which functions in some departments of the Joint Institute for Nuclear Research.

Cesarean section in the People’s Republic of China: current perspectives

PubMed Central

Feng, Xing Lin; Wang, Ying; An, Lin; Ronsmans, Carine

2014-01-01

Objective To review the current knowledge on the prevalence, reasons, and consequences of cesarean sections in the People’s Republic of China. Methods Peer-reviewed articles were systematically searched on PubMed. The following Chinese databases were comprehensively searched: the China National Knowledge Infrastructure, Wanfang, and the VIP information. The databases were searched from inception to September 1, 2013. Two reviewers independently screened the titles and abstracts for eligibility. Full texts of eligible papers were reviewed, where relevant references were hand-searched and reviewed. Findings Sixty articles were included from PubMed, 17 articles were intentionally picked out from Chinese journals, and five additional articles were added, for a total of 82 articles for the analysis. With a current national rate near 40%, the literature consistently reported a rapid rise of cesarean sections in the People’s Republic of China in the past decades, irrespective of where people lived or their socioeconomic standing. Nonclinical factors were considered as the main drivers fueling the rise of cesareans in the People’s Republic of China. There was a lively debate on whether women’s preferences or providers’ distorted financial incentives affected the rise in cesarean sections. However, recent evidence suggests that it might be the People’s Republic of China’s health development approach – focusing on specialized care and marginalizing primary care – that is playing a role. Although 30 articles were identified studying the consequences of cesareans, the methodologies are in general weak and the themes are out of focus. Conclusion The overuse of cesareans is rising alarmingly in the People’s Republic of China and has become a real public health problem. No consensus has been made on the leverage factors that drive the cesarean epidemic, particularly for those nonclinical factors. The more macro level structural factors may have played a part, though further research is warranted to understand the mechanisms. Knowledge of the consequences of cesareans, particularly for women, is limited in the People’s Republic of China, leaving a substantial literature gap. PMID:24470775

Interventions to improve medication adherence among Chinese patients with hypertension: a systematic review and meta-analysis of randomized controlled trails.

PubMed

Xu, Rixiang; Xie, Xuefeng; Li, Shuting; Chen, Xiaoyu; Wang, Sheng; Hu, Chengyang; Lv, Xiongwen

2018-04-25

A systematic review and meta-analysis of randomized controlled trials (RCTs) were performed to understand the effectiveness of medication adherence (MA) interventions among Chinese patients with hypertension. A literature search was conducted with three English databases (PubMed, Web of Science and Embase) and three Chinese databases (China National Knowledge Infrastructure, Wanfang and VIP Database for Chinese Technical Periodicals) for the period from 1970 to October 2017. Only both RCTs with a minimum of 10 participants in each intervention group and Chinese patients with hypertension as participants were included. A random-effects model was applied to calculate pooled effect sizes with 95% CI. Subgroup analysis was conducted to identify potential sources of heterogeneity from duration of intervention, type of intervener, methods of intervention and sites of intervention. Funnel plots and Egger's test were used to evaluate for publication bias. A total of 48 studies met criteria for the meta-analysis, including 14 568 participants, testing 57 independent comparisons. Overall, the effect size revealed that interventions significantly improved MA (pooled relative risk = 1.59, 95% CI: 1.43 to 1.78; pooled Cohen's d = 1.42, 95% CI: 0.976 to 1.876). Interventions were found to significantly reduce blood pressure (BP) (systolic BP: Cohen's d = -0.85, 95% CI: -1.11 to -0.60 and diastolic BP: Cohen's d = -0.73, 95% CI: -1.00 to -0.46). Longer duration of intervention gave better effectiveness. Physician as interventionist, regular follow-up visits and interventions conducted at a hospital were associated with better effectiveness. Adherence interventions improve MA and reduce uncontrolled BP among Chinese patients with hypertension. In the future, investigators should adopt a skill set to address the problem of poor MA. © 2018 Royal Pharmaceutical Society.

Methodological quality evaluation of systematic reviews or meta-analyses on ERCC1 in non-small cell lung cancer: a systematic review.

PubMed

Tao, Huan; Zhang, Yueyuan; Li, Qian; Chen, Jin

2017-11-01

To assess the methodological quality of systematic reviews (SRs) or meta-analysis concerning the predictive value of ERCC1 in platinum chemotherapy of non-small cell lung cancer. We searched the PubMed, EMbase, Cochrane library, international prospective register of systematic reviews, Chinese BioMedical Literature Database, China National Knowledge Infrastructure, Wan Fang and VIP database for SRs or meta-analysis. The methodological quality of included literatures was evaluated by risk of bias in systematic review (ROBIS) scale. Nineteen eligible SRs/meta-analysis were included. The most frequently searched databases were EMbase (74%), PubMed, Medline and CNKI. Fifteen SRs did additional retrieval manually, but none of them retrieved the registration platform. 47% described the two-reviewers model in the screening for eligible original articles, and seven SRs described the two reviewers to extract data. In methodological quality assessment, inter-rater reliability Kappa was 0.87 between two reviewers. Research question were well related to all SRs in phase 1 and the eligibility criteria was suitable for each SR, and rated as 'low' risk bias. But the 'high' risk bias existed in all the SRs regarding methods used to identify and/or select studies, and data collection and study appraisal. More than two-third of SRs or meta-analysis were finished with high risk of bias in the synthesis, findings and the final phase. The study demonstrated poor methodological quality of SRs/meta-analysis assessing the predictive value of ERCC1 in chemotherapy among the NSCLC patients, especially the high performance bias. Registration or publishing the protocol is recommended in future research.

A database to manage flood risk in Catalonia

NASA Astrophysics Data System (ADS)

Echeverria, S.; Toldrà, R.; Verdaguer, I.

2009-09-01

We call priority action spots those local sites where heavy rain, increased river flow, sea storms and other flooding phenomena can cause human casualties or severe damage to property. Some examples are campsites, car parks, roads, chemical factories… In order to keep to a minimum the risk of these spots, both a prevention programme and an emergency response programme are required. The flood emergency plan of Catalonia (INUNCAT) prepared in 2005 included already a listing of priority action spots compiled by the Catalan Water Agency (ACA), which was elaborated taking into account past experience, hydraulic studies and information available by several knowledgeable sources. However, since land use evolves with time this listing of priority action spots has become outdated and incomplete. A new database is being built. Not only does this new database update and expand the previous listing, but adds to each entry information regarding prevention measures and emergency response: which spots are the most hazardous, under which weather conditions problems arise, which ones should have their access closed as soon as these conditions are forecast or actually given, which ones should be evacuated, who is in charge of the preventive actions or emergency response and so on. Carrying out this programme has to be done with the help and collaboration of all the organizations involved, foremost with the local authorities in the areas at risk. In order to achieve this goal a suitable geographical information system is necessary which can be easily used by all actors involved in this project. The best option has turned out to be the Spatial Data Infrastructure of Catalonia (IDEC), a platform to share spatial data on the Internet involving the Generalitat de Catalunya, Localret (a consortium of local authorities that promotes information technology) and other institutions.

A systematic review of the direct economic burden of type 2 diabetes in china.

PubMed

Hu, Huimei; Sawhney, Monika; Shi, Lizheng; Duan, Shengnan; Yu, Yunxian; Wu, Zhihong; Qiu, Guixing; Dong, Hengjin

2015-03-01

Type 2 diabetes is associated with acute and chronic complications and poses a large economic, social, and medical burden on patients and their families as well as society. This study aims to evaluate the direct economic burden of type 2 diabetes in China. systematic review on cost of illness, health care costs, direct service costs, drug costs, and health expenditures in relation to type 2 diabetes was conducted up to 2014 using databases such as Pubmed; EBSCO; Elsevier ScienceDirect, Web of Science; and a series of Chinese databases, including Wanfang Data, China National Knowledge Infrastructure (CNKI), and the China Science and Technology Journal Database. Factors influencing hospitalization and drug fees were also identified. (1) estimation of the direct economic burden including hospitalization and outpatient cost of type 2 diabetes patients in China; (2) evaluation of the factors influencing the direct economic burden. Articles only focusing on the cost-effectiveness analysis of diabetes drugs were excluded. The direct economic burden of type 2 diabetes has increased over time in China, and in 2008, the direct medical cost reached $9.1 billion, Both outpatient and inpatient costs have increased. Income level, type of medical insurance, the level of hospital care, and type and number of complications are primary factors influencing diabetes related hospitalization costs. Compared to urban areas, the direct non-medical cost of type 2 diabetes in rural areas is significantly greater. The direct economic burden of type 2 diabetes poses a significant challenge to China. To address the economic burden associated with type 2 diabetes, measures need to be taken to reduce prevalence rate and severity of diabetes and hospitalization cost.

Comparing the immunogenicity and safety of 3 Japanese encephalitis vaccines in Asia-Pacific area: A systematic review and meta-analysis.

PubMed

Wang, Shi-Yuan; Cheng, Xiao-Hua; Li, Jing-Xin; Li, Xi-Yan; Zhu, Feng-Cai; Liu, Pei

2015-01-01

Japanese encephalitis virus (JEV), a leading cause of Japanese encephalitis (JE) in children and adults, is a major public health problem in Asian countries. This study reports a meta-analysis of the immunogenicity and safety of vaccines used to protect infants or children from JE. Three types of JE vaccine were examined, namely, Japanese encephalitis live-attenuated vaccine (JEV-L), Japanese encephalitis inactivated vaccine (Vero cell) (JEV-I(Vero)), and Japanese encephalitis inactivated vaccine (primary hamster kidney cell) (JEV-I(PHK)). These vaccines are used to induce fundamental immunity against JE; however, few studies have compared their immunogenicity and safety in infants and young children less than 2 years of age. Data were obtained by searching 5 databases: Web of Science, PubMed, China National Knowledge Infrastructure, the China Wanfang database, and the Cochrane database. Fifteen articles were identified and scored using the Jadad score for inclusion in the meta-analysis. Random effect models were used to calculate the pooled seroconversion rate and adverse reaction rate when tests for heterogeneity were significant. The results showed that the pooled seroconversion rate for JEV-I(PHK) (62.23%) was lower than that for JEV-I(Vero) (86.49%) and JEV-L (83.52%), and that the pooled adverse reaction rate for JEV-L (18.09%) was higher than that for JEV-I(PHK) (10.08%) and JEV-I(Vero) (12.49%). The pooled relative risk was then calculated to compare the seroconversion and adverse reaction rates. The results showed that JEV-I(Vero) and JEV-L were more suitable than JEV-I(PHK) for inducing fundamental immunity to JE in infants and children less than 2 years of age.

The -675 4G/5G polymorphism in plasminogen activator inhibitor-1 gene is associated with risk of asthma: a meta-analysis.

PubMed

Nie, Wei; Li, Bing; Xiu, Qing-Yu

2012-01-01

A number of studies assessed the association of -675 4G/5G polymorphism in the promoter region of plasminogen activator inhibitor (PAI)-1 gene with asthma in different populations. However, most studies reported inconclusive results. A meta-analysis was conducted to investigate the association between polymorphism in the PAI-1 gene and asthma susceptibility. Databases including Pubmed, EMBASE, HuGE Literature Finder, Wanfang Database, China National Knowledge Infrastructure (CNKI) and Weipu Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the dominant model, recessive model, codominant model, and additive model. Eight studies involving 1817 cases and 2327 controls were included. Overall, significant association between 4G/5G polymorphism and asthma susceptibility was observed for 4G4G+4G5G vs. 5G5G (OR = 1.56, 95% CI 1.12-2.18, P = 0.008), 4G/4G vs. 4G/5G+5G/5G (OR = 1.38, 95% CI 1.06-1.80, P = 0.02), 4G/4G vs. 5G/5G (OR = 1.80, 95% CI 1.17-2.76, P = 0.007), 4G/5G vs. 5G/5G (OR = 1.40, 95% CI 1.07-1.84, P = 0.02), and 4G vs. 5G (OR = 1.35, 95% CI 1.08-1.68, P = 0.008). This meta-analysis suggested that the -675 4G/5G polymorphism of PAI-1 gene was a risk factor of asthma.

Maternal vitamin D status and childhood asthma, wheeze, and eczema: A systematic review and meta-analysis.

PubMed

Wei, Zhenzhen; Zhang, Jun; Yu, Xiaodan

2016-09-01

Maternal vitamin D status has been reported to be associated with childhood allergic diseases. However, this association remains to be fully elucidated. A systematic review and meta-analysis was conducted using prospective cohort studies that examined the association between maternal vitamin D status and childhood allergic diseases including wheeze, eczema and asthma. We searched electronic databases of PubMed, EMBASE, the Cochrane library, the Wanfang (Chinese) database, the VIP (Chinese) database, and Chinese National Knowledge Infrastructure (CNKI) up to August 2014. Odds ratios and 95% confidence intervals (CIs) from individual studies were synthesized using a fixed effects model. Four studies on the association between maternal vitamin D status and childhood asthma (3666 mother-child pairs), four studies on the association between maternal vitamin D status and childhood wheeze (2225 mother-child pairs) and three papers on the association between maternal vitamin D status and childhood eczema (2172 mother-child pairs) met our inclusion criteria. Maternal vitamin D status during pregnancy was associated with childhood eczema (pooled OR=0.904, 95% CI=0.831-0.983). However, the meta-analysis showed no statistical association between maternal vitamin D status and childhood asthma (pooled OR=0.981, 95% CI=0.944-1.019) or childhood wheeze (pooled OR=0.995, 95% CI=0.982-1.009). Our meta-analysis found that lower maternal vitamin D during pregnancy was associated with an increased risk of childhood eczema but was not associated with childhood asthma or wheeze. The role of maternal vitamin D as an important protective factor for the development of childhood eczema remains to be elucidated. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Traditional manual acupuncture combined with rehabilitation therapy for shoulder hand syndrome after stroke within the Chinese healthcare system: a systematic review and meta-analysis.

PubMed

Peng, Le; Zhang, Chao; Zhou, Lan; Zuo, Hong-Xia; He, Xiao-Kuo; Niu, Yu-Ming

2018-04-01

To investigate the effectiveness of traditional manual acupuncture combined with rehabilitation therapy versus rehabilitation therapy alone for shoulder hand syndrome after stroke. PubMed, EMBASE, the Cochrane Library, Chinese Biomedicine Database, China National Knowledge Infrastructure, VIP Information Database, Wan Fang Database and reference lists of the eligible studies were searched up to July 2017 for relevant studies. Randomized controlled trials that compared the combined effects of traditional manual acupuncture and rehabilitation therapy to rehabilitation therapy alone for shoulder hand syndrome after stroke were included. Two reviewers independently screened the searched records, extracted the data and assessed risk of bias of the included studies. The treatment effect sizes were pooled in a meta-analysis using RevMan 5.3 software. A total of 20 studies involving 1918 participants were included in this study. Compared to rehabilitation therapy alone, the combined therapy significantly reduced pain on the visual analogue scale and improved limb movement on the Fugl-Meyer Assessment scale and the performance of activities of daily living (ADL) on the Barthel Index scale or Modified Barthel Index scale. Of these, the visual analogue scale score changes were significantly higher (mean difference = 1.49, 95% confidence interval = 1.15-1.82, P < 0.00001) favoring the combined therapy after treatment, with severe heterogeneity ( I 2  = 71%, P = 0.0005). Current evidence suggests that traditional manual acupuncture integrated with rehabilitation therapy is more effective in alleviating pain, improving limb movement and ADL. However, considering the relatively low quality of available evidence, further rigorously designed and large-scale randomized controlled trials are needed to confirm the results.

The −675 4G/5G Polymorphism in Plasminogen Activator Inhibitor-1 Gene Is Associated with Risk of Asthma: A Meta-Analysis

PubMed Central

Xiu, Qing-yu

2012-01-01

Background A number of studies assessed the association of −675 4G/5G polymorphism in the promoter region of plasminogen activator inhibitor (PAI)-1 gene with asthma in different populations. However, most studies reported inconclusive results. A meta-analysis was conducted to investigate the association between polymorphism in the PAI-1 gene and asthma susceptibility. Methods Databases including Pubmed, EMBASE, HuGE Literature Finder, Wanfang Database, China National Knowledge Infrastructure (CNKI) and Weipu Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the dominant model, recessive model, codominant model, and additive model. Results Eight studies involving 1817 cases and 2327 controls were included. Overall, significant association between 4G/5G polymorphism and asthma susceptibility was observed for 4G4G+4G5G vs. 5G5G (OR = 1.56, 95% CI 1.12–2.18, P = 0.008), 4G/4G vs. 4G/5G+5G/5G (OR = 1.38, 95% CI 1.06–1.80, P = 0.02), 4G/4G vs. 5G/5G (OR = 1.80, 95% CI 1.17–2.76, P = 0.007), 4G/5G vs. 5G/5G (OR = 1.40, 95% CI 1.07–1.84, P = 0.02), and 4G vs. 5G (OR = 1.35, 95% CI 1.08–1.68, P = 0.008). Conclusions This meta-analysis suggested that the −675 4G/5G polymorphism of PAI-1 gene was a risk factor of asthma. PMID:22479620

Freva - Freie Univ Evaluation System Framework for Scientific Infrastructures in Earth System Modeling

NASA Astrophysics Data System (ADS)

Kadow, Christopher; Illing, Sebastian; Kunst, Oliver; Schartner, Thomas; Kirchner, Ingo; Rust, Henning W.; Cubasch, Ulrich; Ulbrich, Uwe

2016-04-01

The Freie Univ Evaluation System Framework (Freva - freva.met.fu-berlin.de) is a software infrastructure for standardized data and tool solutions in Earth system science. Freva runs on high performance computers to handle customizable evaluation systems of research projects, institutes or universities. It combines different software technologies into one common hybrid infrastructure, including all features present in the shell and web environment. The database interface satisfies the international standards provided by the Earth System Grid Federation (ESGF). Freva indexes different data projects into one common search environment by storing the meta data information of the self-describing model, reanalysis and observational data sets in a database. This implemented meta data system with its advanced but easy-to-handle search tool supports users, developers and their plugins to retrieve the required information. A generic application programming interface (API) allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language used. Users of the evaluation techniques benefit from the common interface of the evaluation system without any need to understand the different scripting languages. Facilitation of the provision and usage of tools and climate data automatically increases the number of scientists working with the data sets and identifying discrepancies. The integrated web-shell (shellinabox) adds a degree of freedom in the choice of the working environment and can be used as a gate to the research projects HPC. Plugins are able to integrate their e.g. post-processed results into the database of the user. This allows e.g. post-processing plugins to feed statistical analysis plugins, which fosters an active exchange between plugin developers of a research project. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a database. Configurations and results of the tools can be shared among scientists via shell or web system. Therefore, plugged-in tools benefit from transparency and reproducibility. Furthermore, if configurations match while starting an evaluation plugin, the system suggests to use results already produced by other users - saving CPU/h, I/O, disk space and time. The efficient interaction between different technologies improves the Earth system modeling science framed by Freva.

Freva - Freie Univ Evaluation System Framework for Scientific HPC Infrastructures in Earth System Modeling

NASA Astrophysics Data System (ADS)

Kadow, C.; Illing, S.; Schartner, T.; Grieger, J.; Kirchner, I.; Rust, H.; Cubasch, U.; Ulbrich, U.

2017-12-01

The Freie Univ Evaluation System Framework (Freva - freva.met.fu-berlin.de) is a software infrastructure for standardized data and tool solutions in Earth system science (e.g. www-miklip.dkrz.de, cmip-eval.dkrz.de). Freva runs on high performance computers to handle customizable evaluation systems of research projects, institutes or universities. It combines different software technologies into one common hybrid infrastructure, including all features present in the shell and web environment. The database interface satisfies the international standards provided by the Earth System Grid Federation (ESGF). Freva indexes different data projects into one common search environment by storing the meta data information of the self-describing model, reanalysis and observational data sets in a database. This implemented meta data system with its advanced but easy-to-handle search tool supports users, developers and their plugins to retrieve the required information. A generic application programming interface (API) allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language used. Users of the evaluation techniques benefit from the common interface of the evaluation system without any need to understand the different scripting languages. The integrated web-shell (shellinabox) adds a degree of freedom in the choice of the working environment and can be used as a gate to the research projects HPC. Plugins are able to integrate their e.g. post-processed results into the database of the user. This allows e.g. post-processing plugins to feed statistical analysis plugins, which fosters an active exchange between plugin developers of a research project. Additionally, the history and configuration sub-system stores every analysis performed with the evaluation system in a database. Configurations and results of the tools can be shared among scientists via shell or web system. Furthermore, if configurations match while starting an evaluation plugin, the system suggests to use results already produced by other users - saving CPU/h, I/O, disk space and time. The efficient interaction between different technologies improves the Earth system modeling science framed by Freva.

Acute kidney injury associated with concomitant vancomycin and piperacillin/tazobactam administration: a systematic review and meta-analysis.

PubMed

Chen, Xiao-Yu; Xu, Ri-Xiang; Zhou, Xin; Liu, Yang; Hu, Cheng-Yang; Xie, Xue-Feng

2018-05-11

As a tricyclic glycopeptide antibiotic used to treat acute infections, Vancomycin (VAN) is often administered with piperacillin/tazobactam (PT) to treat various infections in clinical practice. However, whether the combination of these two drugs, compared to VAN alone, can cause an increased risk of acute kidney injury (AKI) remains controversial. This study aims to identify the correlation between the development of AKI and the combined use of VAN and PT. We conducted a meta-analysis of eight observational cohort studies (a total of 10727 participants received VAN and PT versus VAN and other β-lactams). PubMed, Chinese Biological Medicine Database (CBM), China National Knowledge Infrastructure (CNKI) Database, Wan Fang Digital Periodicals Database (WFDP), and China Science Citation Database (CSCD) were searched through April 2017 using "vancomycin" and "piperacillin" and "tazobactam" as well as "acute kidney injury" or "acute renal failure" or "AKI" or "ARF" or "nephrotoxicity." Two reviewers extracted the data and assessed the risk of bias. A correlation was found between the development of AKI and concurrent use of VAN and PT compared with concomitant VAN and β-lactams (OR 1.57; 95% CI, 1.13-2.01; I 2  = 76.4%, p < 0.001). Similar findings were obtained in an analysis of studies comparing concurrent VAN and PT use with concurrent VAN and β-lactam (cefepime) use (OR 1.50; 95% CI, 1.07-1.93; I 2  = 80.5%, p < 0.001). Exclusion of fair-quality and low-quality articles did not change the results (OR 1.49; 95% CI, 1.06-1.92; I 2  = 84.1%, p < 0.001). Regarding β-lactam therapy in clinical practice, an elevated risk of AKI due to the combined use of VAN and PT should be considered.

A systematic review and meta-analysis of type 2 diabetes mellitus treatment based on the "three-typed syndrome differentiation" theory in Chinese medicine.

PubMed

Yan, Xiu-feng; Ni, Qing; Wei, Jun-ping; Lin, Lan

2014-08-01

To evaluate the efficacy and safety of "Three-Typed Syndrome Differentiation" (TTSD) in treating type 2 diabetes mellitus patients. A systematic review and meta-analysis was done based on the clinical diabetes treatment literature of the "TTSD". Overseas databases like the PubMed/MEDLINE, EMBASE, Cochrane Library and Cochrane Central Register of Controlled Clinical Trials, and China databases like China Biology Medicine Disc (CBM), Chinese national Knowledge Infrastructure (CNKI), Wanfang database, and VIP database, without limitation on language, were included with the time limitation from Jan 1982 to Dec 2012 by retrieval of relative original clinical research articles. Nineteen articles where contains 1,840 diabetes patients were obtained, in which no adverse reactions were reported. Of these, 14 literatures involved the effect of fasting blood glucose (FBG), 10 involved that of postprandial 2-h blood glucose (P2hBG), and 19 involved the overall efficacy based on the national Chinese medicine (CM) diagnosis and treatment standard of diabetes. All the meta-analysis results prefer to the "TTSD" groups (CM+Western medicine Based on TTSD). The results show that, beside the efficacy of Western medicine, the concentrations of FBG and P2hBG in "TTSD" groups continue to drop with statistical significance. For "TTSD" groups, the FBG subsequently dropped 1.03 mmol/L, 95%CI [1.24,0.82] P <0.00001), the P2hBG subsequently dropped 1.09 mmol/L, 95% CI [1.61, 0.57] (P <0.0001), and the overall efficacies benefit 3.46 times those of Western medicine alone, 95% CI [2.67,4.48] (P <0.00001). The CM by the diagnosis and treatment of type 2 diabetes based on TTSD might be safe and effective, and could better improve both blood glucose and the overall status of patients, including symptoms.

Curative efficacy and safety of traditional Chinese medicine xuebijing injections combined with ulinastatin for treating sepsis in the Chinese population: A meta-analysis.

PubMed

Xiao, Shi-Hui; Luo, Liang; Liu, Xiang-Hong; Zhou, Yu-Ming; Liu, Hong-Ming; Huang, Zhen-Fei

2018-06-01

Sepsis is a clinically critical disease. However, it is still controversial whether the combined use of traditional Chinese medicine Xuebijing injections (XBJI) and western medicine can enhance curative efficacy and ensure safety compared with western medicine alone. Thus, this research consisted of a systematic review of the curative efficacy and safety of traditional Chinese medicine XBJI combined with ulinastatin for treating sepsis in the Chinese population. A total of 8 databases were retrieved: 4 foreign databases, namely, PubMed, The Cochrane Library, Embase, and Web of Science; and 4 Chinese databases, namely, Sino Med, China National Knowledge Infrastructure (CNKI), VIP, and Wangfang Data. The time span of retrieval began from the establishment of each database and ended on August 1, 2017. Published randomized controlled trials about the combined use of traditional Chinese medicine XBJI and western medicine were included, regardless of language. Stata12.0 software was used for statistical analysis. Finally, 16 papers involving 1335 cases were included. The result of meta-analysis showed that compared with the single use of ulinastatin, traditional Chinese medicine XBJI combined with ulinastatin could reduce the time of mechanical ventilation, shorten the length of intensive care unit (ICU) stay, improve the 28-day survival rate, and decrease the occurrence rate of multiple organ dysfunction syndrome, case fatality rate, procalcitonin (PCT) content, APACKEII score, tumor necrosis factor (TNF)-α level, and interleukin (IL)-6 level. On the basis of the common basic therapeutic regimen, the combined use of traditional Chinese medicine XBJI and ulinastatin was compared with the use of ulinastatin alone for treating sepsis in the Chinese population. It was found that the number of adverse events of combination therapy is not significantly increased, and its clinical safety is well within the permitted range. However, considering the limitations of this conclusion due to the low-quality articles included in the present research, it is necessary to conduct high-quality randomized controlled trials.

Chinese herbal medicine Kuntai capsule for treatment of menopausal syndrome: a systematic review of randomized clinical trials.

PubMed

Zhou, Quan; Tao, Jing; Song, Huamei; Chen, Aihua; Yang, Huaijie; Zuo, Manzhen; Li, Hairong

2016-12-01

Kuntai capsule has been widely used for the treatment of menopausal syndrome in China for long time. We conducted this review to assess efficacy and safety of Kuntai capsule for the treatment of menopausal syndrome. We searched studies in PubMed, ClinicalTrials, the Cochrane Library, China National Knowledge Infrastructure Database(CNKI), China Science and Technology Journal Database (VIP), Wan fang Database and Chinese Biomedical Literature Database(CBM) until November 20, 2014. Randomized trials on Kuntai capsule for menopausal syndrome, compared with placebo or hormone replacement therapy (HRT) were included. Two reviewers independently retrieved the randomized controlled trials (RCTs) and extracted the information. The Cochrane risk of bias method was used to assess the quality of the included studies, and a Meta-analysis was conducted with Review Manager 5.2 software. A total of 17 RCTs (1455 participants) were included. The studies were of low methodological quality. Meta-analysis indicated that there was no statistical difference in the Kupperman index (KI) [WMD=0.51, 95% CI (-0.04, 1.06)], the effective rate of KI [OR=1.21, 95% CI (0.72, 2.04)], E2 level [WMD=-15.18, 95% CI (-33.93, 3.56)], and FSH level [WMD=-3.46, 95% CI (-7.2, 0.28)] after treatment between Kuntai versus HRT group (P>0.05). However, Compared with HRT, Kuntai capsule could significantly reduce the total incidence of adverse events [OR=0.28, 95% CI (0.17, 0.45)]. Kuntai capsule may be effective for treating menopausal syndrome and lower risk of side effects. The studies we analyzed were of low methodological quality. Therefore, more strictly designed large-scale randomized clinical trials are needed to evaluate the efficacy of Kuntai capsule in menopausal syndrome. Copyright © 2016 Elsevier Ltd. All rights reserved.

Assessment of the Reporting Quality of Placebo-controlled Randomized Trials on the Treatment of Type 2 Diabetes With Traditional Chinese Medicine in Mainland China: A PRISMA-Compliant Systematic Review.

PubMed

Zhao, Xiyan; Zhen, Zhong; Guo, Jing; Zhao, Tianyu; Ye, Ru; Guo, Yu; Chen, Hongdong; Lian, Fengmei; Tong, Xiaolin

2016-01-01

Placebo-controlled randomized trials are often used to evaluate the absolute effect of new treatments and are considered gold standard for clinical trials. No studies, however, have yet been conducted evaluating the reporting quality of placebo-controlled randomized trials. The current study aims to assess the reporting quality of placebo-controlled randomized trials on treatment of diabetes with Traditional Chinese Medicine (TCM) in Mainland China and to provide recommendations for improvements.China National Knowledge Infrastructure database, Wanfang database, China Biology Medicine database, and VIP database were searched for placebo-controlled randomized trials on treatment of diabetes with TCM. Review, animal experiment, and randomized controlled trials without placebo control were excluded. According to Consolidated Standards of Reporting Trials (CONSORT) 2010 checklists items, each item was given a yes or no depending on whether it was reported or not.A total of 68 articles were included. The reporting percentage in each article ranged from 24.3% to 73%, and 30.9% articles reported more than 50% of the items. Seven of the 37 items were reported more than 90% of the items, whereas 7 items were not mentioned at all. The average reporting for "title and abstract," "introduction," "methods," "results," "discussion," and "other information" was 43.4%, 78.7%, 40.1%, 49.9%, 71.1%, and 17.2%, respectively. The percentage of each section had increased after 2010. In addition, the reporting of multiple study centers, funding, placebo species, informed consent forms, and ethical approvals were 14.7%, 50%, 36.85%, 33.8%, and 4.4%, respectively.Although a scoring system was created according to the CONSORT 2010 checklist, it was not designed as an assessment tool. According to CONSORT 2010, the reporting quality of placebo-controlled randomized trials on the treatment of diabetes with TCM improved after 2010. Future improvements, however, are still needed, particularly in methods sections.

FixO3 : Early progress towards Open Ocean observatory Data Management Harmonisation

NASA Astrophysics Data System (ADS)

Pagnani, Maureen; Huber, Robert; Lampitt, Richard

2014-05-01

Since 2002 there has been a sustained effort, supported as European framework projects, to harmonise both the technology and the data management of Open Ocean fixed observatories run by European nations. FixO3 started in September 2013, and for 4 years will coordinate the convergence of data management best practice across a constellation of moorings in the Atlantic, in both hemispheres, and in the Mediterranean. To ensure the continued existence of these unique sources of oceanographic data as sustained observatories it is vital to improve access to the data collected, both in terms of methods of presentation, real-time availability, long-term archiving and quality assurance. The data management component of FixO3 will improve access to marine observatory data by harmonizing data management standards and workflows covering the complete life cycle of data from real time data acquisition to long-term archiving. Legal and data policy aspects will be examined to identify transnational barriers to open-access to marine observatory data. A harmonised FixO3 data policy is being synthesised from the partner's existing policies, which will overcome the identified barriers, and provide a formal basis for data exchange between FixO3 infrastructures. Presently, the interpretation and implementation of accepted standards has considerable incompatibilities within the observatory community, and these different approaches will be unified into the FixO3 approach. Further, FixO3 aims to harmonise data management and standardisation efforts with other European and international marine data and observatory infrastructures. The FixO3 synthesis will build on the standards established in other European infrastructures such as EDMONET, SEADATANET, PANGAEA, EuroSITES (European contribution to JCOMMP OceanSITES programme), and MyOcean (the Marine Core Service for GMES) infrastructures as well as relevant international infrastructures and data centres such as the ICOS Ocean Thematic Centre. The data management efforts are central to FixO3. Combined with the procedural and technological harmonisation, tackled in separate work packages, the FixO3 network of observatories will efficiently and cost effectively provide a consistent resource of quality controlled accessible oceanographic data The project website www.fixo3.eu is being developed as both a data showcase and single distribution point, and with database driven tools will enable the sharing of information between the observatories in the most smart and cost effective way. The network of knowledge built throughout the project will become a legacy resource that will ensure access to the unique ensemble data sets only achievable at these key observatories.

The study of knowledge management capability and organizational effectiveness in Taiwanese public utility: the mediator role of organizational commitment.

PubMed

Chiu, Chia-Nan; Chen, Huei-Huang

2016-01-01

Many studies on the significance of knowledge management (KM) in the business world have been performed in recent years. Public sector KM is a research area of growing importance. Findings show that few authors specialize in the field and there are several obstacles to developing a cohesive body of literature. In order to examine their effect of the knowledge management capability [which consists of knowledge infrastructure capability (KIC) and knowledge process capability (KPC)] and organizational effectiveness (OE), this study conducted structural equation modeling to test the hypotheses with 302 questionnaires of Taipei Water Department staffs in Taiwan. In exploring the model developed in this study, the findings show that there exists a significant relationship between KPC and OE, while KIC and OE are insignificant. These results are different from earlier findings in the literature. Furthermore, this research proposed organizational commitment (OC) as the mediator role. The findings suggest that only OC has significant mediating effects between KPC and OE, whereas this is not the case for KIC and OE. It is noteworthy that the above findings inspired managers, in addition to construct the knowledge infrastructure more than focus on social media tools on the Internet, which engage knowledge workers in "peer-to-peer" knowledge sharing across organizational and company boundaries. The results are likely to help organizations (particularly public utilities) sharpen their knowledge management strategies. Academic and practical implications were drawn based on the findings.

From Networked Learning to Operational Practice: Constructing and Transferring Superintendent Knowledge in a Regional Instructional Rounds Network

ERIC Educational Resources Information Center

Travis, Timothy J.

2015-01-01

Instructional rounds are an emerging network structure with processes and protocols designed to develop superintendents' knowledge and skills in leading large-scale improvement, to enable superintendents to build an infrastructure that supports the work of improvement, to assist superintendents in distributing leadership throughout their district,…

Integrated remote sensing and visualization (IRSV) system for transportation infrastructure operations and management, phase one, volume 4 : use of knowledge integrated visual analytics system in supporting bridge management.

DOT National Transportation Integrated Search

2009-12-01

The goals of integration should be: Supporting domain oriented data analysis through the use of : knowledge augmented visual analytics system. In this project, we focus on: : Providing interactive data exploration for bridge managements. : ...

The Development Process of a Mathematic Teacher's Technological Pedagogical Content Knowledge

ERIC Educational Resources Information Center

Yildiz, Hilal; Gokcek, Tuba

2018-01-01

Technology is an indispensable part of the educational curriculum, and large budgets have been allocated to provide technological infrastructure in secondary education institutions in Turkey. It is important that teachers have the technological pedagogical content knowledge (TPCK) to successfully integrate technology into their courses. The aim of…

Monitoring of the infrastructure and services used to handle and automatically produce Alignment and Calibration conditions at CMS

NASA Astrophysics Data System (ADS)

Sipos, Roland; Govi, Giacomo; Franzoni, Giovanni; Di Guida, Salvatore; Pfeiffer, Andreas

2017-10-01

The CMS experiment at CERN LHC has a dedicated infrastructure to handle the alignment and calibration data. This infrastructure is composed of several services, which take on various data management tasks required for the consumption of the non-event data (also called as condition data) in the experiment activities. The criticality of these tasks imposes tights requirements for the availability and the reliability of the services executing them. In this scope, a comprehensive monitoring and alarm generating system has been developed. The system has been implemented based on the Nagios open source industry standard for monitoring and alerting services, and monitors the database back-end, the hosting nodes and key heart-beat functionalities for all the services involved. This paper describes the design, implementation and operational experience with the monitoring system developed and deployed at CMS in 2016.

Behavioral and social sciences at the National Institutes of Health: Methods, measures, and data infrastructures as a scientific priority.

PubMed

Riley, William T

2017-01-01

The National Institutes of Health Office of Behavioral and Social Sciences Research (OBSSR) recently released its strategic plan for 2017-2021. This plan focuses on three equally important strategic priorities: 1) improve the synergy of basic and applied behavioral and social sciences research, 2) enhance and promote the research infrastructure, methods, and measures needed to support a more cumulative and integrated approach to behavioral and social sciences research, and 3) facilitate the adoption of behavioral and social sciences research findings in health research and in practice. This commentary focuses on scientific priority two and future directions in measurement science, technology, data infrastructure, behavioral ontologies, and big data methods and analytics that have the potential to transform the behavioral and social sciences into more cumulative, data rich sciences that more efficiently build on prior research. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

A knowledge base architecture for distributed knowledge agents

NASA Technical Reports Server (NTRS)

Riedesel, Joel; Walls, Bryan

1990-01-01

A tuple space based object oriented model for knowledge base representation and interpretation is presented. An architecture for managing distributed knowledge agents is then implemented within the model. The general model is based upon a database implementation of a tuple space. Objects are then defined as an additional layer upon the database. The tuple space may or may not be distributed depending upon the database implementation. A language for representing knowledge and inference strategy is defined whose implementation takes advantage of the tuple space. The general model may then be instantiated in many different forms, each of which may be a distinct knowledge agent. Knowledge agents may communicate using tuple space mechanisms as in the LINDA model as well as using more well known message passing mechanisms. An implementation of the model is presented describing strategies used to keep inference tractable without giving up expressivity. An example applied to a power management and distribution network for Space Station Freedom is given.

Challenges in developing medicinal plant databases for sharing ethnopharmacological knowledge.

PubMed

Ningthoujam, Sanjoy Singh; Talukdar, Anupam Das; Potsangbam, Kumar Singh; Choudhury, Manabendra Dutta

2012-05-07

Major research contributions in ethnopharmacology have generated vast amount of data associated with medicinal plants. Computerized databases facilitate data management and analysis making coherent information available to researchers, planners and other users. Web-based databases also facilitate knowledge transmission and feed the circle of information exchange between the ethnopharmacological studies and public audience. However, despite the development of many medicinal plant databases, a lack of uniformity is still discernible. Therefore, it calls for defining a common standard to achieve the common objectives of ethnopharmacology. The aim of the study is to review the diversity of approaches in storing ethnopharmacological information in databases and to provide some minimal standards for these databases. Survey for articles on medicinal plant databases was done on the Internet by using selective keywords. Grey literatures and printed materials were also searched for information. Listed resources were critically analyzed for their approaches in content type, focus area and software technology. Necessity for rapid incorporation of traditional knowledge by compiling primary data has been felt. While citation collection is common approach for information compilation, it could not fully assimilate local literatures which reflect traditional knowledge. Need for defining standards for systematic evaluation, checking quality and authenticity of the data is felt. Databases focussing on thematic areas, viz., traditional medicine system, regional aspect, disease and phytochemical information are analyzed. Issues pertaining to data standard, data linking and unique identification need to be addressed in addition to general issues like lack of update and sustainability. In the background of the present study, suggestions have been made on some minimum standards for development of medicinal plant database. In spite of variations in approaches, existence of many overlapping features indicates redundancy of resources and efforts. As the development of global data in a single database may not be possible in view of the culture-specific differences, efforts can be given to specific regional areas. Existing scenario calls for collaborative approach for defining a common standard in medicinal plant database for knowledge sharing and scientific advancement. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Sankofa pediatric HIV disclosure intervention cyber data management: building capacity in a resource-limited setting and ensuring data quality.

PubMed

Catlin, Ann Christine; Fernando, Sumudinie; Gamage, Ruwan; Renner, Lorna; Antwi, Sampson; Tettey, Jonas Kusah; Amisah, Kofi Aikins; Kyriakides, Tassos; Cong, Xiangyu; Reynolds, Nancy R; Paintsil, Elijah

2015-01-01

Prevalence of pediatric HIV disclosure is low in resource-limited settings. Innovative, culturally sensitive, and patient-centered disclosure approaches are needed. Conducting such studies in resource-limited settings is not trivial considering the challenges of capturing, cleaning, and storing clinical research data. To overcome some of these challenges, the Sankofa pediatric disclosure intervention adopted an interactive cyber infrastructure for data capture and analysis. The Sankofa Project database system is built on the HUBzero cyber infrastructure ( https://hubzero.org ), an open source software platform. The hub database components support: (1) data management - the "databases" component creates, configures, and manages database access, backup, repositories, applications, and access control; (2) data collection - the "forms" component is used to build customized web case report forms that incorporate common data elements and include tailored form submit processing to handle error checking, data validation, and data linkage as the data are stored to the database; and (3) data exploration - the "dataviewer" component provides powerful methods for users to view, search, sort, navigate, explore, map, graph, visualize, aggregate, drill-down, compute, and export data from the database. The Sankofa cyber data management tool supports a user-friendly, secure, and systematic collection of all data. We have screened more than 400 child-caregiver dyads and enrolled nearly 300 dyads, with tens of thousands of data elements. The dataviews have successfully supported all data exploration and analysis needs of the Sankofa Project. Moreover, the ability of the sites to query and view data summaries has proven to be an incentive for collecting complete and accurate data. The data system has all the desirable attributes of an electronic data capture tool. It also provides an added advantage of building data management capacity in resource-limited settings due to its innovative data query and summary views and availability of real-time support by the data management team.

The role of private developers in local infrastructure provision in Malaysia

NASA Astrophysics Data System (ADS)

Salleh, Dani; Okinono, Otega

2016-08-01

Globally, the challenge of local infrastructure provision has attracted much debate amongst different nations including Malaysia, on how to achieve an effective and efficient infrastructural management. This approach therefore, has intensified the efforts of local authorities in incorporating private developers in their developmental agenda in attaining a sustainable infrastructural development in local areas. Basically, the knowledge of the need for adequate provision of local infrastructure is well understood by both local and private authorities. Likewise, the divergent opinions on the usage of private delivery services. Notwithstanding the common perception, significant loopholes have been identified on the most appropriate and ideal approach and practices to adopt in enhancing local infrastructure development. The study therefore examined the role of private developers in local infrastructure provision and procedure adopted by both local authorities and the privates sector in local infrastructure development. Data was obtained using the questionnaire through purposive sampling, administered to 22 local authorities and 16 developers which was descriptively analysed. Emanating from the study findings, the most frequently approved practices by local authorities are joint venture and complete public delivery systems. Likewise, negotiation was identified as a vital tool for stimulating the acquisition of local infrastructure provision. It was also discovered the one of the greatest challenge in promoting private sector involvement in local infrastructure development is due to unregulated-procedure. The study therefore recommends, there is need for local authorities to adopt a collective and integrated approach, nevertheless, cognisance and priority should be given to developing a well-structured and systematic process of local infrastructure provision and development.

A comprehensive typology for mainstreaming urban green infrastructure

NASA Astrophysics Data System (ADS)

Young, Robert; Zanders, Julie; Lieberknecht, Katherine; Fassman-Beck, Elizabeth

2014-11-01

During a National Science Foundation (US) funded "International Greening of Cities Workshop" in Auckland, New Zealand, participants agreed an effective urban green infrastructure (GI) typology should identify cities' present stage of GI development and map next steps to mainstream GI as a component of urban infrastructure. Our review reveals current GI typologies do not systematically identify such opportunities. We address this knowledge gap by developing a new typology incorporating political, economic, and ecological forces shaping GI implementation. Applying this information allows symmetrical, place-based exploration of the social and ecological elements driving a city's GI systems. We use this information to distinguish current levels of GI development and clarify intervention opportunities to advance GI into the mainstream of metropolitan infrastructure. We employ three case studies (San Antonio, Texas; Auckland, New Zealand; and New York, New York) to test and refine our typology.

Human Variome Project Quality Assessment Criteria for Variation Databases.

PubMed

Vihinen, Mauno; Hancock, John M; Maglott, Donna R; Landrum, Melissa J; Schaafsma, Gerard C P; Taschner, Peter

2016-06-01

Numerous databases containing information about DNA, RNA, and protein variations are available. Gene-specific variant databases (locus-specific variation databases, LSDBs) are typically curated and maintained for single genes or groups of genes for a certain disease(s). These databases are widely considered as the most reliable information source for a particular gene/protein/disease, but it should also be made clear they may have widely varying contents, infrastructure, and quality. Quality is very important to evaluate because these databases may affect health decision-making, research, and clinical practice. The Human Variome Project (HVP) established a Working Group for Variant Database Quality Assessment. The basic principle was to develop a simple system that nevertheless provides a good overview of the quality of a database. The HVP quality evaluation criteria that resulted are divided into four main components: data quality, technical quality, accessibility, and timeliness. This report elaborates on the developed quality criteria and how implementation of the quality scheme can be achieved. Examples are provided for the current status of the quality items in two different databases, BTKbase, an LSDB, and ClinVar, a central archive of submissions about variants and their clinical significance. © 2016 WILEY PERIODICALS, INC.

FRED, a Front End for Databases.

ERIC Educational Resources Information Center

Crystal, Maurice I.; Jakobson, Gabriel E.

1982-01-01

FRED (a Front End for Databases) was conceived to alleviate data access difficulties posed by the heterogeneous nature of online databases. A hardware/software layer interposed between users and databases, it consists of three subsystems: user-interface, database-interface, and knowledge base. Architectural alternatives for this database machine…

NHERI: Advancing the Research Infrastructure of the Multi-Hazard Community

NASA Astrophysics Data System (ADS)

Blain, C. A.; Ramirez, J. A.; Bobet, A.; Browning, J.; Edge, B.; Holmes, W.; Johnson, D.; Robertson, I.; Smith, T.; Zuo, D.

2017-12-01

The Natural Hazards Engineering Research Infrastructure (NHERI), supported by the National Science Foundation (NSF), is a distributed, multi-user national facility that provides the natural hazards research community with access to an advanced research infrastructure. Components of NHERI are comprised of a Network Coordination Office (NCO), a cloud-based cyberinfrastructure (DesignSafe-CI), a computational modeling and simulation center (SimCenter), and eight Experimental Facilities (EFs), including a post-disaster, rapid response research facility (RAPID). Utimately NHERI enables researchers to explore and test ground-breaking concepts to protect homes, businesses and infrastructure lifelines from earthquakes, windstorms, tsunamis, and surge enabling innovations to help prevent natural hazards from becoming societal disasters. When coupled with education and community outreach, NHERI will facilitate research and educational advances that contribute knowledge and innovation toward improving the resiliency of the nation's civil infrastructure to withstand natural hazards. The unique capabilities and coordinating activities over Year 1 between NHERI's DesignSafe-CI, the SimCenter, and individual EFs will be presented. Basic descriptions of each component are also found at https://www.designsafe-ci.org/facilities/. Additionally to be discussed are the various roles of the NCO in leading development of a 5-year multi-hazard science plan, coordinating facility scheduling and fostering the sharing of technical knowledge and best practices, leading education and outreach programs such as the recent Summer Institute and multi-facility REU program, ensuring a platform for technology transfer to practicing engineers, and developing strategic national and international partnerships to support a diverse multi-hazard research and user community.

Environmental assessment of pavement infrastructure: A systematic review.

PubMed

Inyim, Peeraya; Pereyra, Jose; Bienvenu, Michael; Mostafavi, Ali

2016-07-01

Through a critical review and systematic analysis of pavement life cycle assessment (LCA) studies published over the past two decades, this study shows that the available information regarding the environmental impacts of pavement infrastructure is not sufficient to determine what pavement type is more environmentally sustainable. Limitations and uncertainties related to data, system boundary and functional unit definitions, consideration of use and maintenance phase impacts, are identified as the main reasons for inconsistency of reported results in pavement LCA studies. The study outcomes also highlight the need for advancement of knowledge pertaining to: (1) utilization of performance-adjusted functional units, (2) accurate estimation of use, maintenance, and end-of-life impacts, (3) incorporation of the dynamic and uncertain nature of pavement condition performance in impact assessment; (4) development of region-specific inventory data for impact estimation; and (5) consideration of a standard set of impact categories for comparison of environmental performance of different pavement types. Advancing the knowledge in these areas is critical in providing consistent and reliable results to inform decision-making toward more sustainable roadway infrastructure. Copyright © 2016 Elsevier Ltd. All rights reserved.

Public project success as seen in a broad perspective.: Lessons from a meta-evaluation of 20 infrastructure projects in Norway.

PubMed

Volden, Gro Holst

2018-08-01

Infrastructure projects in developed countries are rarely evaluated ex-post. Despite their number and scope, our knowledge about their various impacts is surprisingly limited. The paper argues that such projects must be assessed in a broad perspective that includes both operational, tactical and strategic aspects, and unintended as well as intended effects. A generic six-criteria evaluation framework is suggested, inspired by a framework frequently used to evaluate development assistance projects. It is tested on 20 Norwegian projects from various sectors (transport, defence, ICT, buildings). The results indicate that the majority of projects were successful, especially in operational terms, possibly because they underwent external quality assurance up-front. It is argued that applying this type of standardized framework provides a good basis for comparison and learning across sectors. It is suggested that evaluations should be conducted with the aim of promoting accountability, building knowledge about infrastructure projects, and continuously improve the tools, methods and governance arrangements used in the front-end of project development. Copyright © 2018 The Author. Published by Elsevier Ltd.. All rights reserved.

Design of a diagnostic encyclopaedia using AIDA.

PubMed

van Ginneken, A M; Smeulders, A W; Jansen, W

1987-01-01

Diagnostic Encyclopaedia Workstation (DEW) is the name of a digital encyclopaedia constructed to contain reference knowledge with respect to the pathology of the ovary. Comparing DEW with the common sources of reference knowledge (i.e. books) leads to the following advantages of DEW: it contains more verbal knowledge, pictures and case histories, and it offers information adjusted to the needs of the user. Based on an analysis of the structure of this reference knowledge we have chosen AIDA to develop a relational database and we use a video-disc player to contain the pictorial part of the database. The system consists of a database input version and a read-only run version. The design of the database input version is discussed. Reference knowledge for ovary pathology requires 1-3 Mbytes of memory. At present 15% of this amount is available. The design of the run version is based on an analysis of which information must necessarily be specified to the system by the user to access a desired item of information. Finally, the use of AIDA in constructing DEW is evaluated.

Using decision-tree classifier systems to extract knowledge from databases

NASA Technical Reports Server (NTRS)

St.clair, D. C.; Sabharwal, C. L.; Hacke, Keith; Bond, W. E.

1990-01-01

One difficulty in applying artificial intelligence techniques to the solution of real world problems is that the development and maintenance of many AI systems, such as those used in diagnostics, require large amounts of human resources. At the same time, databases frequently exist which contain information about the process(es) of interest. Recently, efforts to reduce development and maintenance costs of AI systems have focused on using machine learning techniques to extract knowledge from existing databases. Research is described in the area of knowledge extraction using a class of machine learning techniques called decision-tree classifier systems. Results of this research suggest ways of performing knowledge extraction which may be applied in numerous situations. In addition, a measurement called the concept strength metric (CSM) is described which can be used to determine how well the resulting decision tree can differentiate between the concepts it has learned. The CSM can be used to determine whether or not additional knowledge needs to be extracted from the database. An experiment involving real world data is presented to illustrate the concepts described.

Evaluation of relational and NoSQL database architectures to manage genomic annotations.

PubMed

Schulz, Wade L; Nelson, Brent G; Felker, Donn K; Durant, Thomas J S; Torres, Richard

2016-12-01

While the adoption of next generation sequencing has rapidly expanded, the informatics infrastructure used to manage the data generated by this technology has not kept pace. Historically, relational databases have provided much of the framework for data storage and retrieval. Newer technologies based on NoSQL architectures may provide significant advantages in storage and query efficiency, thereby reducing the cost of data management. But their relative advantage when applied to biomedical data sets, such as genetic data, has not been characterized. To this end, we compared the storage, indexing, and query efficiency of a common relational database (MySQL), a document-oriented NoSQL database (MongoDB), and a relational database with NoSQL support (PostgreSQL). When used to store genomic annotations from the dbSNP database, we found the NoSQL architectures to outperform traditional, relational models for speed of data storage, indexing, and query retrieval in nearly every operation. These findings strongly support the use of novel database technologies to improve the efficiency of data management within the biological sciences. Copyright © 2016 Elsevier Inc. All rights reserved.

Romanian contribution to research infrastructure database for EPOS

NASA Astrophysics Data System (ADS)

Ionescu, Constantin; Craiu, Andreea; Tataru, Dragos; Balan, Stefan; Muntean, Alexandra; Nastase, Eduard; Oaie, Gheorghe; Asimopolos, Laurentiu; Panaiotu, Cristian

2014-05-01

European Plate Observation System - EPOS is a long-term plan to facilitate integrated use of data, models and facilities from mainly distributed existing, but also new, research infrastructures for solid Earth Science. In EPOS Preparatory Phase were integrated the national Research Infrastructures at pan European level in order to create the EPOS distributed research infrastructures, structure in which, at the present time, Romania participates by means of the earth science research infrastructures of the national interest declared on the National Roadmap. The mission of EPOS is to build an efficient and comprehensive multidisciplinary research platform for solid Earth Sciences in Europe and to allow the scientific community to study the same phenomena from different points of view, in different time periods and spatial scales (laboratory and field experiments). At national scale, research and monitoring infrastructures have gathered a vast amount of geological and geophysical data, which have been used by research networks to underpin our understanding of the Earth. EPOS promotes the creation of comprehensive national and regional consortia, as well as the organization of collective actions. To serve the EPOS goals, in Romania a group of National Research Institutes, together with their infrastructures, gathered in an EPOS National Consortium, as follows: 1. National Institute for Earth Physics - Seismic, strong motion, GPS and Geomagnetic network and Experimental Laboratory; 2. National Institute of Marine Geology and Geoecology - Marine Research infrastructure and Euxinus integrated regional Black Sea observation and early-warning system; 3. Geological Institute of Romania - Surlari National Geomagnetic Observatory and National lithoteque (the latter as part of the National Museum of Geology) 4. University of Bucharest - Paleomagnetic Laboratory After national dissemination of EPOS initiative other Research Institutes and companies from the potential stakeholders group also show their interest to participate in the EPOS National Consortium.

Lynx: a database and knowledge extraction engine for integrative medicine.

PubMed

Sulakhe, Dinanath; Balasubramanian, Sandhya; Xie, Bingqing; Feng, Bo; Taylor, Andrew; Wang, Sheng; Berrocal, Eduardo; Dave, Utpal; Xu, Jinbo; Börnigen, Daniela; Gilliam, T Conrad; Maltsev, Natalia

2014-01-01

We have developed Lynx (http://lynx.ci.uchicago.edu)--a web-based database and a knowledge extraction engine, supporting annotation and analysis of experimental data and generation of weighted hypotheses on molecular mechanisms contributing to human phenotypes and disorders of interest. Its underlying knowledge base (LynxKB) integrates various classes of information from >35 public databases and private collections, as well as manually curated data from our group and collaborators. Lynx provides advanced search capabilities and a variety of algorithms for enrichment analysis and network-based gene prioritization to assist the user in extracting meaningful knowledge from LynxKB and experimental data, whereas its service-oriented architecture provides public access to LynxKB and its analytical tools via user-friendly web services and interfaces.

Integrated Database And Knowledge Base For Genomic Prospective Cohort Study In Tohoku Medical Megabank Toward Personalized Prevention And Medicine.

PubMed

Ogishima, Soichi; Takai, Takako; Shimokawa, Kazuro; Nagaie, Satoshi; Tanaka, Hiroshi; Nakaya, Jun

2015-01-01

The Tohoku Medical Megabank project is a national project to revitalization of the disaster area in the Tohoku region by the Great East Japan Earthquake, and have conducted large-scale prospective genome-cohort study. Along with prospective genome-cohort study, we have developed integrated database and knowledge base which will be key database for realizing personalized prevention and medicine.

Diabetes education for Chinese adults with type 2 diabetes: A systematic review and meta-analysis of the effect on glycemic control.

PubMed

Choi, Tammie S T; Davidson, Zoe E; Walker, Karen Z; Lee, Jia Hwa; Palermo, Claire

2016-06-01

The purpose of this study is to systematically review evidence in English and Chinese publications to determine the size of glycemic effect of different diabetes education approaches for Chinese patients. CINAHL Plus, Embase, Ovid Medline, Scopus and the China National Knowledge Infrastructure database were searched. Studies were included if they were randomised controlled trials with a detailed description of education approach, with more than 50 Chinese-adult participants, reporting actual glycemic outcome and with at least 3-month follow-up. Data was systematically extracted and cross-checked by the authors. Methodological quality was assessed. Fifty-three studies, including five English and 48 Chinese publications, were included. The overall weighted mean difference (WMD) in glycated haemoglobin (HbA1c) was -1.19% (-13mmol/mol). Ongoing regular education was most-commonly employed, with a reported WMD of -2.02% (-22mmol/mol). Glycemic control was further enhanced in studies using information reinforcement strategies. Diabetes education in any format generates glycemic improvement for Chinese patients, but is particularly effective when an ongoing regular education is employed. Innovative strategies aligned with cultural concepts, such as employing patient examination to reinforce diabetes management knowledge and/or involving family in patient care deserve further trial to determine whether they enhance glycemic control in this group. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Analysis of scientific collaboration in Chinese psychiatry research.

PubMed

Wu, Ying; Jin, Xing

2016-05-26

In recent decades, China has changed profoundly, becoming the country with the world's second-largest economy. The proportion of the Chinese population suffering from mental disorder has grown in parallel with the rapid economic development, as social stresses have increased. The aim of this study is to shed light on the status of collaborations in the Chinese psychiatry field, of which there is currently limited research. We sampled 16,224 publications (2003-2012) from 10 core psychiatry journals from Chinese National Knowledge Infrastructure (CNKI) and WanFang Database. We used various social network analysis (SNA) methods such as centrality analysis, and Core-Periphery analysis to study collaboration. We also used hierarchical clustering analysis in this study. From 2003-2012, there were increasing collaborations at the level of authors, institutions and regions in the Chinese psychiatry field. Geographically, these collaborations were distributed unevenly. The 100 most prolific authors and institutions and 32 regions were used to construct the collaboration map, from which we detected the core author, institution and region. Collaborative behavior was affected by economic development. We should encourage collaborative behavior in the Chinese psychiatry field, as this facilitates knowledge distribution, resource sharing and information acquisition. Collaboration has also helped the field narrow its current research focus, providing further evidence to inform policymakers to fund research in order to tackle the increase in mental disorder facing modern China.

MTHFR gene polymorphism and risk of myeloid leukemia: a meta-analysis.

PubMed

Dong, Song; Liu, Yueling; Chen, Jieping

2014-09-01

An increasing body of evidence has shown that the amino acid changes at position 1298 might eliminate methylenetetrahydrofolate reductase (MTHFR) enzyme activity, leading to insufficient folic acid and subsequent human chromosome breakage. Epidemiological studies have linked MTHFR single-nucleotide polymorphism (SNP) rs1801131 to myeloid leukemia risk, with considerable discrepancy in their results. We therefore were prompted to clarify this issue by use of a meta-analysis. The search terms were used to cover the possible reports in the MEDLINE, Web of Knowledge, and China National Knowledge Infrastructure (CNKI) databases. Odds ratios were estimated to assess the association of SNP rs1801131 with myeloid leukemia risk. Statistical heterogeneity was detected using the Q-statistic and I (2) metric. Subgroup analysis was performed by ethnicity, histological subtype, and Hardy-Weinberg equilibrium (HWE). This meta-analysis of eight publications with a total of 1,114 cases and 3,227 controls revealed no global association. Nor did the subgroup analysis according to histological subtype and HWE show any significant associations. However, Asian individuals who harbored the CC genotype were found to have 1.66-fold higher risk of myeloid leukemia (odds ratio, 1.66; 95 % confidence interval, 1.10 to 2.49; P h = 0.342; I (2) = 0.114). Our meta-analysis has presented evidence supporting a possible association between the CC genotype of MTHFR SNP rs1801131 and myeloid leukemia in Asian populations.

New Catalog of Resources Enables Paleogeosciences Research

NASA Astrophysics Data System (ADS)

Lingo, R. C.; Horlick, K. A.; Anderson, D. M.

2014-12-01

The 21st century promises a new era for scientists of all disciplines, the age where cyber infrastructure enables research and education and fuels discovery. EarthCube is a working community of over 2,500 scientists and students of many Earth Science disciplines who are looking to build bridges between disciplines. The EarthCube initiative will create a digital infrastructure that connects databases, software, and repositories. A catalog of resources (databases, software, repositories) has been produced by the Research Coordination Network for Paleogeosciences to improve the discoverability of resources. The Catalog is currently made available within the larger-scope CINERGI geosciences portal (http://hydro10.sdsc.edu/geoportal/catalog/main/home.page). Other distribution points and web services are planned, using linked data, content services for the web, and XML descriptions that can be harvested using metadata protocols. The databases provide searchable interfaces to find data sets that would otherwise remain dark data, hidden in drawers and on personal computers. The software will be described in catalog entries so just one click will lead users to methods and analytical tools that many geoscientists were unaware of. The repositories listed in the Paleogeosciences Catalog contain physical samples found all across the globe, from natural history museums to the basements of university buildings. EarthCube has over 250 databases, 300 software systems, and 200 repositories which will grow in the coming year. When completed, geoscientists across the world will be connected into a productive workflow for managing, sharing, and exploring geoscience data and information that expedites collaboration and innovation within the paleogeosciences, potentially bringing about new interdisciplinary discoveries.

The OOI Ocean Education Portal: Enabling the Development of Online Data Investigations

NASA Astrophysics Data System (ADS)

Lichtenwalner, C. S.; McDonnell, J. D.; Crowley, M. F.; deCharon, A.; Companion, C. J.; Glenn, S. M.

2016-02-01

The Ocean Observatories Initiative (OOI) was designed to transform ocean science, by establishing a long-term, multi-instrument, multi-platform research infrastructure at 7 arrays around the word. This unprecedented investment in ocean observation, funded by the National Science Foundation, provides a rich opportunity to reshape ocean science education as well. As part of the initial construction effort, an online Ocean Education Portal was developed to support the creation and sharing of educational resources by undergraduate faculty at universities and community colleges. The portal includes a suite of tools that enable the development of online activities for use as group or individual projects, which can be used during lectures or as homework assignments. The site includes: 1) a suite of interactive educational data visualization tools that provide simple and targeted interfaces to interact with OOI datasets; 2) a concept map builder that can be used by both educators and students to build networked diagrams of their knowledge; and 3) a "data investigation" builder that allows faculty to assemble resources into coherent learning modules. The site also includes a "vocabulary navigator" that provides a visual way to discover and learn about the OOI's infrastructure and scientific design. The site allows users to browse an ever-growing database of resources created by the community, and likewise, users can share resources they create with others. As the OOI begins its 25-year operational phase, it is our hope that faculty will be able to use the tools and investigations on the Ocean Education Portal to bring real ocean science research to their undergraduate students.

Data Mining.

ERIC Educational Resources Information Center

Benoit, Gerald

2002-01-01

Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…

Critical issues in medical education and the implications for telemedicine technology.

PubMed

Mahapatra, Ashok Kumar; Mishra, Saroj Kanta; Kapoor, Lily; Singh, Indra Pratap

2009-01-01

Ensuring quality medical education in all the medical colleges across India based on uniform curriculum prescribed by a regulatory body and maintaining a uniform standard are dependent on availability of an excellent infrastructure. Such infrastructure includes qualified teachers, knowledge resources, learning materials, and advanced education technology, which is a challenge in developing countries due to financial and logistic constraints. Advancement in telecommunication, information science, and technology provides an opportunity to exchange knowledge and skill across geographically dispersed organizations by networking academic medical centers of excellence with medical colleges and institutes to practice distance learning using information and communication technology (ICT)-based tools. These may be as basic as commonly used Web-based tools or may be as advanced as virtual reality, simulation, and telepresence-based collaborative learning environment. The scenario in India is no different from any developing country, but there is considerable progress due to technical advancement in these sectors. Telemedicine and tele-education in health science, is gradually getting adopted into the Indian Health System after decade-long pilot studies across the country. A recent recommendation of the National Knowledge Commission, once implemented, would ensure a gigabyte network across all the educational institutions of the country including medical colleges. Availability of indigenous satellite communication technology and the government policy of free bandwidth provision for societal development sector have added strength to set up infrastructure to pilot several telemedicine educational projects across the country.

An analysis of application of health informatics in Traditional Medicine: A review of four Traditional Medicine Systems.

PubMed

Raja Ikram, Raja Rina; Abd Ghani, Mohd Khanapi; Abdullah, Noraswaliza

2015-11-01

This paper shall first investigate the informatics areas and applications of the four Traditional Medicine systems - Traditional Chinese Medicine (TCM), Ayurveda, Traditional Arabic and Islamic Medicine and Traditional Malay Medicine. Then, this paper shall examine the national informatics infrastructure initiatives in the four respective countries that support the Traditional Medicine systems. Challenges of implementing informatics in Traditional Medicine Systems shall also be discussed. The literature was sourced from four databases: Ebsco Host, IEEE Explore, Proquest and Google scholar. The search term used was "Traditional Medicine", "informatics", "informatics infrastructure", "traditional Chinese medicine", "Ayurveda", "traditional Arabic and Islamic medicine", and "traditional malay medicine". A combination of the search terms above was also executed to enhance the searching process. A search was also conducted in Google to identify miscellaneous books, publications, and organization websites using the same terms. Amongst major advancements in TCM and Ayurveda are bioinformatics, development of Traditional Medicine databases for decision system support, data mining and image processing. Traditional Chinese Medicine differentiates itself from other Traditional Medicine systems with documented ISO Standards to support the standardization of TCM. Informatics applications in Traditional Arabic and Islamic Medicine are mostly ehealth applications that focus more on spiritual healing, Islamic obligations and prophetic traditions. Literature regarding development of health informatics to support Traditional Malay Medicine is still insufficient. Major informatics infrastructure that is common in China and India are automated insurance payment systems for Traditional Medicine treatment. National informatics infrastructure in Middle East and Malaysia mainly cater for modern medicine. Other infrastructure such as telemedicine and hospital information systems focus its implementation in modern medicine or are not implemented and strategized at a national level to support Traditional Medicine. Informatics may not be able to address all the emerging areas of Traditional Medicine because the concepts in Traditional Medicine system of medicine are different from modern system, though the aim may be same, i.e., to give relief to the patient. Thus, there is a need to synthesize Traditional Medicine systems and informatics with involvements from modern system of medicine. Future research works may include filling the gaps of informatics areas and integrate national informatics infrastructure with established Traditional Medicine systems. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Adapting Digital Libraries to Continual Evolution

NASA Technical Reports Server (NTRS)

Barkstrom, Bruce R.; Finch, Melinda; Ferebee, Michelle; Mackey, Calvin

2002-01-01

In this paper, we describe five investment streams (data storage infrastructure, knowledge management, data production control, data transport and security, and personnel skill mix) that need to be balanced against short-term operating demands in order to maximize the probability of long-term viability of a digital library. Because of the rapid pace of information technology change, a digital library cannot be a static institution. Rather, it has to become a flexible organization adapted to continuous evolution of its infrastructure.

Building an intellectual infrastructure for space commerce

NASA Technical Reports Server (NTRS)

Stone, Barbara A.; Struthers, Jeffrey L.

1992-01-01

Competition in commerce requires an 'intellectual infrastructure', that is, a work force with extensive scientific and technical knowledge and a thorough understanding of the business world. This paper focuses on the development of such intellectual infrastructure for space commerce. Special consideration is given to the contributions to this development by the 17 Centers for the Commercial Development of Space Program conducting commercially oriented research in eight specialized areas: automation and robotics, remote sensing, life sciences, materials processing in space, space power, space propulsion, space structures and materials, and advanced satellite communications. Attention is also given to the Space Business Development Center concept aimed at addressing a variety of barriers common to the development of space commerce.

Implementation status of the extreme light infrastructure - nuclear physics (ELI-NP) project

NASA Astrophysics Data System (ADS)

Gales, S.; Zamfir, N. V.

2015-02-01

The Project Extreme Light Infrastructure (ELI) is part of the European Strategic Forum for Research Infrastructures (ESFRI) Roadmap. ELI will be built as a network of three complementary pillars at the frontier of laser technologies. The ELI-NP pillar (NP for Nuclear Physics) is under construction near Bucharest (Romania) and will develop a scientific program using two 10 PW lasers and a Compton back-scattering high-brilliance and intense gamma beam, a marriage of laser and accelerator technology at the frontier of knowledge. In the present paper, the technical description of the facility, the present status of the project as well as the science, applications and future perspectives will be discussed.

Distributing stand inventory data and maps over a wide area network

Treesearch

Thomas E. Burk

2000-01-01

High-speed networks connecting multiple levels of management are becoming commonplace among forest resources organizations. Such networks can be used to deliver timely spatial and aspatial data relevant to the management of stands to field personnel. A network infrastructure allows maintenance of cost-effective, centralized databases with the potential for updating by...

About BTTC | Center for Cancer Research

Cancer.gov

About Combined Forces Drive BTTC The Brain Tumor Trials Collaborative (BTTC) was created in 2003 - a combined effort of many professionals, entities and organizations to help those suffering from brain tumors. The National Cancer Institute's (NCI) Center for Cancer Research serves as the lead institution and provides the administrative infrastructure, clinical database and

A Database Architecture for Web-Based Distance Education.

ERIC Educational Resources Information Center

Rehak, Daniel R.

The goal of the Carnegie Mellon Online project is to build an infrastructure for delivery of courses via the World Wide Web. The project aims to deliver educational content and to assess student competency in support of courses across the Carnegie Mellon University (Pennsylvania) curriculum and beyond, thereby providing an asynchronous,…

Biobanking genetic resources: Challenges and implementation at the USDA National Animal Germplasm Program

USDA-ARS?s Scientific Manuscript database

There is adequate infrastructure in the US to identify and acquire germplasm from the major beef and dairy cattle and swine breeds. However, when we venture outside these species the same tasks become more difficult because of a lack of breed associations, databases that include genotypic and pheno...

Using Amazon Web Services (AWS) to enable real-time, remote sensing of biophysical and anthropogenic conditions in green infrastructure systems in Philadelphia, an ultra-urban application of the Internet of Things (IoT)

NASA Astrophysics Data System (ADS)

Montalto, F. A.; Yu, Z.; Soldner, K.; Israel, A.; Fritch, M.; Kim, Y.; White, S.

2017-12-01

Urban stormwater utilities are increasingly using decentralized "green" infrastructure (GI) systems to capture stormwater and achieve compliance with regulations. Because environmental conditions, and design varies by GSI facility, monitoring of GSI systems under a range of conditions is essential. Conventional monitoring efforts can be costly because in-field data logging requires intense data transmission rates. The Internet of Things (IoT) can be used to more cost-effectively collect, store, and publish GSI monitoring data. Using 3G mobile networks, a cloud-based database was built on an Amazon Web Services (AWS) EC2 virtual machine to store and publish data collected with environmental sensors deployed in the field. This database can store multi-dimensional time series data, as well as photos and other observations logged by citizen scientists through a public engagement mobile app through a new Application Programming Interface (API). Also on the AWS EC2 virtual machine, a real-time QAQC flagging algorithm was developed to validate the sensor data streams.

Visualizing and Understanding Socio-Environmental Dynamics in Baltimore

NASA Astrophysics Data System (ADS)

Zaitchik, B. F.; Omeara, K.; Guikema, S.; Scott, A.; Bessho, A.; Logan, T. M.

2015-12-01

The City of Baltimore, like any city, is the sum of its component neighborhoods, institutions, businesses, cultures, and, ultimately, its people. It is also an organism in its own right, with distinct geography, history, infrastructure, and environments that shape its residents even as it is shaped by them. Sometimes these interactions are obvious but often they are not; while basic economic patterns are widely documented, the distribution of socio-spatial and environmental connections often hides below the surface, as does the potential that those connections hold. Here we present results of a collaborative initiative on the geography, design, and policy of socio-environmental dynamics of Baltimore. Geospatial data derived from satellite imagery, demographic databases, social media feeds, infrastructure plans, and in situ environmental networks, among other sources, are applied to generate an interactive portrait of Baltimore City's social, health, and well-being dynamics. The layering of data serves as a platform for visualizing the interconnectedness of the City and as a database for modeling risk interactions, vulnerabilities, and strengths within and between communities. This presentation will provide an overview of project findings and highlight linkages to education and policy.

On-the-fly form generation and on-line metadata configuration--a clinical data management Web infrastructure in Java.

PubMed

Beck, Peter; Truskaller, Thomas; Rakovac, Ivo; Cadonna, Bruno; Pieber, Thomas R

2006-01-01

In this paper we describe the approach to build a web-based clinical data management infrastructure on top of an entity-attribute-value (EAV) database which provides for flexible definition and extension of clinical data sets as well as efficient data handling and high performance query execution. A "mixed" EAV implementation provides a flexible and configurable data repository and at the same time utilizes the performance advantages of conventional database tables for rarely changing data structures. A dynamically configurable data dictionary contains further information for data validation. The online user interface can also be assembled dynamically. A data transfer object which encapsulates data together with all required metadata is populated by the backend and directly used to dynamically render frontend forms and handle incoming data. The "mixed" EAV model enables flexible definition and modification of clinical data sets while reducing performance drawbacks of pure EAV implementations to a minimum. The system currently is in use in an electronic patient record with focus on flexibility and a quality management application (www.healthgate.at) with high performance requirements.

[Big data and their perspectives in radiation therapy].

PubMed

Guihard, Sébastien; Thariat, Juliette; Clavier, Jean-Baptiste

2017-02-01

The concept of big data indicates a change of scale in the use of data and data aggregation into large databases through improved computer technology. One of the current challenges in the creation of big data in the context of radiation therapy is the transformation of routine care items into dark data, i.e. data not yet collected, and the fusion of databases collecting different types of information (dose-volume histograms and toxicity data for example). Processes and infrastructures devoted to big data collection should not impact negatively on the doctor-patient relationship, the general process of care or the quality of the data collected. The use of big data requires a collective effort of physicians, physicists, software manufacturers and health authorities to create, organize and exploit big data in radiotherapy and, beyond, oncology. Big data involve a new culture to build an appropriate infrastructure legally and ethically. Processes and issues are discussed in this article. Copyright © 2016 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

Information-theoretic CAD system in mammography: Entropy-based indexing for computational efficiency and robust performance

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

Tourassi, Georgia D.; Harrawood, Brian; Singh, Swatee

2007-08-15

We have previously presented a knowledge-based computer-assisted detection (KB-CADe) system for the detection of mammographic masses. The system is designed to compare a query mammographic region with mammographic templates of known ground truth. The templates are stored in an adaptive knowledge database. Image similarity is assessed with information theoretic measures (e.g., mutual information) derived directly from the image histograms. A previous study suggested that the diagnostic performance of the system steadily improves as the knowledge database is initially enriched with more templates. However, as the database increases in size, an exhaustive comparison of the query case with each stored templatemore » becomes computationally burdensome. Furthermore, blind storing of new templates may result in redundancies that do not necessarily improve diagnostic performance. To address these concerns we investigated an entropy-based indexing scheme for improving the speed of analysis and for satisfying database storage restrictions without compromising the overall diagnostic performance of our KB-CADe system. The indexing scheme was evaluated on two different datasets as (i) a search mechanism to sort through the knowledge database, and (ii) a selection mechanism to build a smaller, concise knowledge database that is easier to maintain but still effective. There were two important findings in the study. First, entropy-based indexing is an effective strategy to identify fast a subset of templates that are most relevant to a given query. Only this subset could be analyzed in more detail using mutual information for optimized decision making regarding the query. Second, a selective entropy-based deposit strategy may be preferable where only high entropy cases are maintained in the knowledge database. Overall, the proposed entropy-based indexing scheme was shown to reduce the computational cost of our KB-CADe system by 55% to 80% while maintaining the system's diagnostic performance.« less

The Rise of Global Science and the Emerging Political Economy of International Research Collaborations

ERIC Educational Resources Information Center

Peters, Michael A.

2006-01-01

This article charts the rise of global science and a global science infrastructure as part of the emerging international knowledge system exemplifying a geography of knowledge and the importance of new info-communications networks. The article theorises the rise of global science, which still strongly reflects a Western bias and is highly…