PRAIS: Distributed, real-time knowledge-based systems made easy

NASA Technical Reports Server (NTRS)

Goldstein, David G.

1990-01-01

This paper discusses an architecture for real-time, distributed (parallel) knowledge-based systems called the Parallel Real-time Artificial Intelligence System (PRAIS). PRAIS strives for transparently parallelizing production (rule-based) systems, even when under real-time constraints. PRAIS accomplishes these goals by incorporating a dynamic task scheduler, operating system extensions for fact handling, and message-passing among multiple copies of CLIPS executing on a virtual blackboard. This distributed knowledge-based system tool uses the portability of CLIPS and common message-passing protocols to operate over a heterogeneous network of processors.

Raising awareness of assistive technology in older adults through a community-based, cooperative extension program.

PubMed

Sellers, Debra M; Markham, Melinda Stafford

2012-01-01

The Fashion an Easier Lifestyle with Assistive Technology (FELAT) curriculum was developed as a needs-based, community educational program provided through a state Cooperative Extension Service. The overall goal for participants was to raise awareness of assistive technology. Program evaluation included a postassessment and subsequent interview to determine short-term knowledge gain and longer term behavior change. The sample consisted of mainly older, married females. The FELAT program was effective at raising awareness and increasing knowledge of assistive technology, and for many participants, the program acted as a catalyst for planning to or taking action related to assistive technology.

Knowledge, Attitudes, and Commitment Concerning Evidence-Based Prevention Programs: Differences between Family and Consumer Sciences and 4-H Youth Development Educators

ERIC Educational Resources Information Center

Perkins, Daniel F.; Chilenski, Sarah Meyer; Olson, Jonathan R.; Mincemoyer, Claudia C.

2014-01-01

We describe the results of a study designed to assess knowledge, perceptions, and attitudes towards evidence-based and other prevention programs among county Extension educators. We examined differences across educators from Family and Consumer Sciences (FCS) and 4-H Youth Development. Analyses based on a multi-state sample of educators revealed…

Who knows? Local non-timber forest product knowledge and stewardship practices in northern Michigan

Treesearch

Marla R. Emery

2001-01-01

Non-timber forest product (NTFP) literature frequently laments the absence of an information base for policy and management decisions. While formal scientific data on the biological and social ecologies of most NTFPs are limited to nonexistent, long-time gatherers often have extensive experiential knowledge bases. Researchers and managers may overlook this expertise...

An object-oriented, knowledge-based system for cardiovascular rehabilitation--phase II.

PubMed Central

Ryder, R. M.; Inamdar, B.

1995-01-01

The Heart Monitor is an object-oriented, knowledge-based system designed to support the clinical activities of cardiovascular (CV) rehabilitation. The original concept was developed as part of graduate research completed in 1992. This paper describes the second generation system which is being implemented in collaboration with a local heart rehabilitation program. The PC UNIX-based system supports an extensive patient database organized by clinical areas. In addition, a knowledge base is employed to monitor patient status. Rule-based automated reasoning is employed to assess risk factors contraindicative to exercise therapy and to monitor administrative and statutory requirements. PMID:8563285

The Influence of Science Knowledge Structures on Children's Success in Solving Academic Problems.

ERIC Educational Resources Information Center

Champagne, Audrey B.; And Others

Presented is a study of eighth-grade students' academic problem-solving ability based on their knowledge structures, or their information stored in semantic or long-term memory. The authors describe a technique that they developed to probe knowledge structures with an extension of the card-sort method. The method, known as the Concept Structure…

Assessing the effectiveness of knowledge-based interventions in increasing skin cancer awareness, knowledge, and protective behaviors in skin of color populations.

PubMed

Kailas, Ajay; Botwin, Ariel L; Pritchett, Ellen N; Jackson-Richards, Diane; Lewis, Suzanna; Sadhwani, Divya; Desai, Seemal R; Taylor, Susan C

2017-10-01

Skin of color (SOC) populations (ie, blacks, Hispanics, Asians) are at a notably higher risk for mortality from skin cancers such as melanoma than white individuals. In this article, we seek to answer the following question: Do knowledge-based interventions increase skin cancer awareness among SOC patients? Following an extensive literature search, a total of 4 articles were analyzed and discussed in this review.

Space shuttle main engine anomaly data and inductive knowledge based systems: Automated corporate expertise

NASA Technical Reports Server (NTRS)

Modesitt, Kenneth L.

1987-01-01

Progress is reported on the development of SCOTTY, an expert knowledge-based system to automate the analysis procedure following test firings of the Space Shuttle Main Engine (SSME). The integration of a large-scale relational data base system, a computer graphics interface for experts and end-user engineers, potential extension of the system to flight engines, application of the system for training of newly-hired engineers, technology transfer to other engines, and the essential qualities of good software engineering practices for building expert knowledge-based systems are among the topics discussed.

A comparison of the views of extension agents and farmers regarding extension education courses in Dezful, Iran

NASA Astrophysics Data System (ADS)

Nazarzadeh Zare, Mohsen; Dorrani, Kamal; Gholamali Lavasani, Masoud

2012-11-01

Background and purpose : This study examines the views of farmers and extension agents participating in extension education courses in Dezful, Iran, with regard to problems with these courses. It relies upon a descriptive methodology, using a survey as its instrument. Sample : The statistical population consisted of 5060 farmers and 50 extension agents; all extension agents were studied owing to their small population and a sample of 466 farmers was selected based on the stratified ratio sampling method. For the data analysis, statistical procedures including the t-test and factor analysis were used. Results : The results of factor analysis on the views of farmers indicated that these courses have problems such as inadequate use of instructional materials by extension agents, insufficient employment of knowledgeable and experienced extension agents, bad and inconvenient timing of courses for farmers, lack of logical connection between one curriculum and prior ones, negligence in considering the opinions of farmers in arranging the courses, and lack of information about the time of courses. The findings of factor analysis on the views of extension agents indicated that these courses suffer from problems such as use of consistent methods of instruction for teaching curricula, and lack of continuity between courses and their levels and content. Conclusions : Recommendations include: listening to the views of farmers when planning extension courses; providing audiovisual aids, pamphlets and CDs; arranging courses based on convenient timing for farmers; using incentives to encourage participation; and employing extension agents with knowledge of the latest agricultural issues.

Issues on the use of meta-knowledge in expert systems

NASA Technical Reports Server (NTRS)

Facemire, Jon; Chen, Imao

1988-01-01

Meta knowledge is knowledge about knowledge; knowledge that is not domain specific but is concerned instead with its own internal structure. Several past systems have used meta-knowledge to improve the nature of the user interface, to maintain the knowledge base, and to control the inference engine. More extensive use of meta-knowledge is probable for the future as larger scale problems are considered. A proposed system architecture is presented and discussed in terms of meta-knowledge applications. The principle components of this system: the user support subsystem, the control structure, the knowledge base, the inference engine, and a learning facility are all outlined and discussed in light of the use of meta-knowledge. Problems with meta-constructs are also mentioned but it is concluded that the use of meta-knowledge is crucial for increasingly autonomous operations.

Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.

PubMed

Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A

2015-09-24

Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness.

Literature-Based Instruction: Reshaping the Curriculum.

ERIC Educational Resources Information Center

Raphael, Taffy E., Ed.; Au, Kathryn H., Ed.

Making a case for the value of literature-based instruction, this book presents an overview of the extensive knowledge base supporting literature-based approaches to literacy instruction. It notes that literature-based instruction goes beyond simply changing the kinds of texts children read--also required in literature-based instruction are an…

Generalisation and extension of a web-based data collection system for clinical studies using Java and CORBA.

PubMed

Eich, H P; Ohmann, C

1999-01-01

Inadequate informatical support of multi-centre clinical trials lead to pure quality. In order to support a multi-centre clinical trial a data collection via WWW and Internet based on Java has been developed. In this study a generalization and extension of this prototype has been performed. The prototype has been applied to another clinical trial and a knowledge server based on C+t has been integrated via CORBA. The investigation and implementation of security aspects of web-based data collection is now under evaluation.

Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach

PubMed Central

Rodríguez-García, Miguel Ángel; Rodríguez-González, Alejandro; Valencia-García, Rafael; Gómez-Berbís, Juan Miguel

2014-01-01

Precise, reliable and real-time financial information is critical for added-value financial services after the economic turmoil from which markets are still struggling to recover. Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. In this paper, we present the SONAR extension approach, which will leverage the potential of knowledge representation by extracting, managing, and turning scarce and disperse financial information into well-classified, structured, and widely used XBRL format-oriented knowledge, strongly supported by a proof-of-concept implementation and a thorough evaluation of the benefits of the approach. PMID:24587726

Using data crawlers and semantic Web to build financial XBRL data generators: the SONAR extension approach.

PubMed

Rodríguez-García, Miguel Ángel; Rodríguez-González, Alejandro; Colomo-Palacios, Ricardo; Valencia-García, Rafael; Gómez-Berbís, Juan Miguel; García-Sánchez, Francisco

2014-01-01

Precise, reliable and real-time financial information is critical for added-value financial services after the economic turmoil from which markets are still struggling to recover. Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. In this paper, we present the SONAR extension approach, which will leverage the potential of knowledge representation by extracting, managing, and turning scarce and disperse financial information into well-classified, structured, and widely used XBRL format-oriented knowledge, strongly supported by a proof-of-concept implementation and a thorough evaluation of the benefits of the approach.

Opening the "Black Box" of Agro-Scientific Expert Knowledge--and Bringing the Perspectives Back into the Agricultural University

ERIC Educational Resources Information Center

Kaltoft, Pernille; Rasmussen, Jesper

2004-01-01

Quite a few papers in the two journals, The Journal of Agricultural Education and Extension and The Journal of Sustainable Agriculture, deal with ideas for future education towards sustainability and extension and advisory service as facilitation. Both subjects include participatory learning and/or farming systems approaches based on systems…

Supporting Collocation Learning with a Digital Library

ERIC Educational Resources Information Center

Wu, Shaoqun; Franken, Margaret; Witten, Ian H.

2010-01-01

Extensive knowledge of collocations is a key factor that distinguishes learners from fluent native speakers. Such knowledge is difficult to acquire simply because there is so much of it. This paper describes a system that exploits the facilities offered by digital libraries to provide a rich collocation-learning environment. The design is based on…

Small Businessmen's Perceptions of University Extension.

ERIC Educational Resources Information Center

Douglah, Mohammad A.; Dopp, Arvid D.

A survey was made in Clark County, Wisconsin, of small businessmen's knowledge and perception of university extension. The businessmen appeared most knowledgeable about Extension programs offered through mass media, but less knowledgeable about local staff affiliation and relationship to the University of Wisconsin. They participated in Extension…

Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus

PubMed Central

Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A

2015-01-01

Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness. DOI: http://dx.doi.org/10.7554/eLife.09960.001 PMID:26402459

Knowledge-based machine indexing from natural language text: Knowledge base design, development, and maintenance

NASA Technical Reports Server (NTRS)

Genuardi, Michael T.

1993-01-01

One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.

Standardization of doctoral study in agricultural and extension education: is the field of study mature enough for achievement of the optimum degree of order?

PubMed

Briers, G E; Lindner, J R; Shinn, G C; Wingenbach, G W; Baker, M T

2010-01-01

Agricultural and extension education--or some derivative name--is a field of study leading to the doctoral degree in universities around the world. Is there are body of knowledge or a taxonomy of the knowledge--e.g., a knowledge domain--that one should possess with a doctorate in agricultural and extension education? The purpose of this paper was to synthesize the work of researchers who attempted to define the field of study, with a taxonomy comprising the knowledge domains (standards) and knowledge objects--structured interrelated sets of data, knowledge, and wisdom--of the field of study. Doctoral study in agricultural and extension education needs a document that provides for rules and guidelines--rules and guidelines that in turn provide for common and repeated use--all leading to achievement of an optimum degree of order in the context of academic, scholarly, and professional practice in agricultural and extension education. Thus, one would know in broad categories the knowledge, skills, and abilities possessed by one who holds a doctoral degree in agricultural and extension education. That is, there would exist a standard for doctoral degrees in agricultural and extension education. A content analysis of three previous attempts to categorize knowledge in agricultural and extension education served as the primary technique to create a new taxonomy--or to confirm an existing taxonomy--for doctoral study in agricultural and extension education. The following coalesced as nine essential knowledge domains for a doctorate in agricultural and extension education: (1) history, philosophy, ethics, and policy; (2) agricultural/rural development; (3) organizational development and change management; (4) planning, needs assessment, and evaluation; (5) learning theory; (6) curriculum development and instructional design; (7) teaching methods and delivery strategies; (8) research methods and tools; and, (9) scholarship and communications.

Biological knowledge bases using Wikis: combining the flexibility of Wikis with the structure of databases.

PubMed

Brohée, Sylvain; Barriot, Roland; Moreau, Yves

2010-09-01

In recent years, the number of knowledge bases developed using Wiki technology has exploded. Unfortunately, next to their numerous advantages, classical Wikis present a critical limitation: the invaluable knowledge they gather is represented as free text, which hinders their computational exploitation. This is in sharp contrast with the current practice for biological databases where the data is made available in a structured way. Here, we present WikiOpener an extension for the classical MediaWiki engine that augments Wiki pages by allowing on-the-fly querying and formatting resources external to the Wiki. Those resources may provide data extracted from databases or DAS tracks, or even results returned by local or remote bioinformatics analysis tools. This also implies that structured data can be edited via dedicated forms. Hence, this generic resource combines the structure of biological databases with the flexibility of collaborative Wikis. The source code and its documentation are freely available on the MediaWiki website: http://www.mediawiki.org/wiki/Extension:WikiOpener.

The Case for a Paradigm Shift in Extension from Information-Centric to Community-Centric Programming

ERIC Educational Resources Information Center

Strong, Emma; Rowntree, Jason; Thurlow, Kable; Raven, Matt R.

2015-01-01

Since its establishment through the Smith-Lever Act, the Cooperative Extension Service has sought to use non-formal education programs centered on community needs to provide research-based information. However, the onset of the information age has transformed the way knowledge is shared and as a result altered the way people access information.…

The Subak Cultural Landscape as Environmental Education: Knowledge, Attitudes, and Experiences of Balinese Teachers, Student Teachers, and Students

ERIC Educational Resources Information Center

Surata, Sang Putu Kaler; Vipriyanti, Nyoman Utari

2018-01-01

Bali's subak cultural landscape, with its ancient and extensive paddy-fields and irrigation system, is a valuable resource for place-based education. However, this landscape is threatened by various problems. Here we analyze the relationships among Balinese teachers, student teachers, and students, and review their knowledge, attitudes, and…

Establishing a Common Language: The Meaning of Research-Based and Evidence-Based Programming (in the Human Sciences)

ERIC Educational Resources Information Center

Sellers, Debra M.; Schainker, Lisa M.; Lockhart, Peggy; Yeh, Hsiu Chen

2017-01-01

This article describes the development, implementation, and exploratory evaluation of a professional development series that addressed educators' knowledge and use of the terms "research-based" and "evidence-based" within Human Sciences Extension and Outreach at one university. Respondents to a follow-up survey were more likely…

Effect of genome sequence on the force-induced unzipping of a DNA molecule.

PubMed

Singh, N; Singh, Y

2006-02-01

We considered a dsDNA polymer in which distribution of bases are random at the base pair level but ordered at a length of 18 base pairs and calculated its force elongation behaviour in the constant extension ensemble. The unzipping force F(y) vs. extension y is found to have a series of maxima and minima. By changing base pairs at selected places in the molecule we calculated the change in F(y) curve and found that the change in the value of force is of the order of few pN and the range of the effect depending on the temperature, can spread over several base pairs. We have also discussed briefly how to calculate in the constant force ensemble a pause or a jump in the extension-time curve from the knowledge of F(y).

Teachers' Use of Knowledge Sources in "Result Meetings": Thin Data and Thick Data Use

ERIC Educational Resources Information Center

Mausethagen, Sølvi; Prøitz, Tine; Skedsmo, Guri

2018-01-01

In this article, we examine teachers' use of knowledge sources in meetings where they discuss and formulate initiatives and solutions to develop existing teaching practice based on national test results. While practices of data use have been extensively researched, less attention has been given to the content of data use practices. Analyses of…

A New Perspective on Modeling Groundwater-Driven Health Risk With Subjective Information

NASA Astrophysics Data System (ADS)

Ozbek, M. M.

2003-12-01

Fuzzy rule-based systems provide an efficient environment for the modeling of expert information in the context of risk management for groundwater contamination problems. In general, their use in the form of conditional pieces of knowledge, has been either as a tool for synthesizing control laws from data (i.e., conjunction-based models), or in a knowledge representation and reasoning perspective in Artificial Intelligence (i.e., implication-based models), where only the latter may lead to coherence problems (e.g., input data that leads to logical inconsistency when added to the knowledge base). We implement a two-fold extension to an implication-based groundwater risk model (Ozbek and Pinder, 2002) including: 1) the implementation of sufficient conditions for a coherent knowledge base, and 2) the interpolation of expert statements to supplement gaps in knowledge. The original model assumes statements of public health professionals for the characterization of the exposed individual and the relation of dose and pattern of exposure to its carcinogenic effects. We demonstrate the utility of the extended model in that it: 1)identifies inconsistent statements and establishes coherence in the knowledge base, and 2) minimizes the burden of knowledge elicitation from the experts for utilizing existing knowledge in an optimal fashion.ÿÿ

Recommendation Techniques for Drug-Target Interaction Prediction and Drug Repositioning.

PubMed

Alaimo, Salvatore; Giugno, Rosalba; Pulvirenti, Alfredo

2016-01-01

The usage of computational methods in drug discovery is a common practice. More recently, by exploiting the wealth of biological knowledge bases, a novel approach called drug repositioning has raised. Several computational methods are available, and these try to make a high-level integration of all the knowledge in order to discover unknown mechanisms. In this chapter, we review drug-target interaction prediction methods based on a recommendation system. We also give some extensions which go beyond the bipartite network case.

PCLIPS

NASA Technical Reports Server (NTRS)

Krolak, Patrick D.

1990-01-01

CLIPS is an expert system, created specifically to allow rapid implementation of an expert system. CLIPS is written in C, and thus needs a very small amount of memory to run. Parallel CLIPS (PCLIPS) is an extension to CLIPS which is intended to be used in situations where a group of expert systems are expected to run simultaneously and occasionally communicate with each other on an integrated network. PCLIPS is a coarse-grained data distribution system. Its main goal is to take information in one knowledge base and distribute it to other knowledge bases so that all the executing expert systems are able to use that knowledge to solve their disparate problems.

Building a Pedagogical Coaching Base: Pursuing Expertise in Teaching Sport

ERIC Educational Resources Information Center

Van Mullem, Pete; Shimon, Jane; Van Mullem, Heather

2017-01-01

Developing coaching expertise is a lifelong process that enables coaches to grow personally and professionally. One key approach coaches can utilize as part of this journey is to build a sound pedagogical base and implement effective pedagogical skills. In coaching, extensive subject knowledge, coupled with pedagogical experience, provides the…

The Extension-Reduction Strategy: Activating Prior Knowledge

ERIC Educational Resources Information Center

Sloyer, Cliff W.

2004-01-01

A mathematical problem is solved using the extension-reduction or build it up-tear it down tactic. This technique is implemented in reviving students' earlier knowledge to enable them to apply this knowledge to solving new problems.

A knowledge-based framework for image enhancement in aviation security.

PubMed

Singh, Maneesha; Singh, Sameer; Partridge, Derek

2004-12-01

The main aim of this paper is to present a knowledge-based framework for automatically selecting the best image enhancement algorithm from several available on a per image basis in the context of X-ray images of airport luggage. The approach detailed involves a system that learns to map image features that represent its viewability to one or more chosen enhancement algorithms. Viewability measures have been developed to provide an automatic check on the quality of the enhanced image, i.e., is it really enhanced? The choice is based on ground-truth information generated by human X-ray screening experts. Such a system, for a new image, predicts the best-suited enhancement algorithm. Our research details the various characteristics of the knowledge-based system and shows extensive results on real images.

Construction of teacher knowledge in context: Preparing elementary teachers to teach mathematics and science

NASA Astrophysics Data System (ADS)

Lowery, Maye Norene Vail

1998-12-01

The purposes of this study were to further the understanding of how preservice teacher construct teacher knowledge and pedagogical content knowledge of elementary mathematics and science and to determine the extent of that knowledge in a school-based setting. Preservice teachers, university instructors, inservice teachers, and other school personnel were involved in this context-specific study. Evidence of the preservice teachers' knowledge construction (its acquisition, its dimensions, and the social context) was collected through the use of a qualitative methodology. Collected data included individual and group interviews, course documents, artifacts, and preservice teaching portfolios. Innovative aspects of this integrated mathematics and science elementary methods course included standards-based instruction with immediate access to field experiences. Grade-level teams of preservice and inservice teachers planned and implemented lessons in mathematics and science for elementary students. An on-site, portable classroom building served as a mathematics and science teaching and learning laboratory. A four-stage analysis was performed, revealing significant patterns of learning. An ecosystem of learning within a constructivist learning environment was identified to contain three systems: the university system; the school system; and the cohort of learners system. A mega system for the construction of teacher knowledge was revealed in the final analysis. Learning venues were discovered to be the conduits of learning in a situated learning context. Analysis and synthesis of data revealed an extensive acquisition of teacher knowledge and pedagogical content knowledge through identified learning components. Patience, flexibility, and communication were identified as necessities for successful teaching. Learning components included: collaboration with inservice teachers; implementation of discovery learning and hands-on/minds-on learning; small groupwork; lesson planning; classroom management; and application of standards-based instruction. Prolonged, extensive classroom involvement provided familiarity with the ability levels of elementary students. Gains in positive attitudes and confidence in teaching mathematics and science were identified as direct results of this experience. This may be attributed to the immersion in the school-based setting (hands-on) and the standards-based approach (minds-on) methods course. The results are written in case study form using thick description with an emphasis on preservice teachers.

Using Event-related Potentials to Inform the Neurocognitive Processes Underlying Knowledge Extension through Memory Integration.

PubMed

Varga, Nicole L; Bauer, Patricia J

2017-11-01

To build a general knowledge base, it is imperative that individuals acquire, integrate, and further extend knowledge across experiences. For instance, in one episode an individual may learn that George Washington was the first president. In a separate episode they may then learn that Washington was the commander of the Continental Army. Integration of the information in memory may then support self-derivation of the new knowledge that the leader of the Continental Army was also the first president. Despite a considerable amount of fMRI research aimed at further elucidating the neuroanatomical regions supporting this ability, a consensus has yet to be reached with regards to the precise neurocognitive processes involved. In the present research, we capitalized on the high temporal resolution of event-related potentials (ERPs) to inform the time course of processes elicited during successful integration and further extension of new factual knowledge. Adults read novel, related stem facts and were tested for self-derivation of novel integration facts while ERPs were recorded. Consistent with current theoretical models, memory integration was first triggered by novelty detection within 400 msec of experience of a second, related stem fact. Two additional temporally staged encoding processes were then observed interpreted to reflect (1) explicit meaning comprehension and (2) representation of the integrated relation in memory. During the test for self-derivation, a single ERP was elicited, which presumably reflected retrieval and/or recombination of previously integrated knowledge. Together, the present research provides important insight into the time course of neurocognitive processing associated with the formation of a knowledge base.

The process of the Community Psychologist training: Experiences in the Community Psychology nucleus (NUCOM).

PubMed

Moura, James Ferreira; Brito da Silva, Lorena; Cidade, Elívia Camurça; Braga, Alana Alencar; Ximenes, Verônica Morais

2016-01-01

This article presents the Community Psychology training concept created at the Community Psychology Nucleus (NUCOM), Federal University of Ceará (Brazil); mainly composed of university extension processes and their theoretical-methodological bases. Thus, university extension/cooperation emerges as a space to build new knowledge based on a cooperative perspective opposed to traditional anti-dialogical and hegemonic mechanisms. By evidencing the unabridged training of NUCOM's graduate students, we seek to provide elements that will enable the comprehension of the learning concept present in daily relations constructed in extension activities. We also plan to socialize a way of thinking Community Psychology performance, whose reference is the people, with their needs and potentials, emphasizing them as the true subjects of psychological practice.

Preparing Students for Extension Careers and Expanding U.S. Extension Reach through International Service Learning

ERIC Educational Resources Information Center

Ebner, Paul; Constantinescu, Alina; Borlea, Florian; Indrea, Alexandru; Russell, Mark

2017-01-01

As U.S. Extension broadens its reach around the globe, an increased need exists for Extension professionals who have not only technical knowledge but also the cultural competencies to apply that knowledge in international settings. We describe a course that provides students with the opportunity to develop skills needed for potential careers in…

Redundancy checking algorithms based on parallel novel extension rule

NASA Astrophysics Data System (ADS)

Liu, Lei; Yang, Yang; Li, Guangli; Wang, Qi; Lü, Shuai

2017-05-01

Redundancy checking (RC) is a key knowledge reduction technology. Extension rule (ER) is a new reasoning method, first presented in 2003 and well received by experts at home and abroad. Novel extension rule (NER) is an improved ER-based reasoning method, presented in 2009. In this paper, we first analyse the characteristics of the extension rule, and then present a simple algorithm for redundancy checking based on extension rule (RCER). In addition, we introduce MIMF, a type of heuristic strategy. Using the aforementioned rule and strategy, we design and implement RCHER algorithm, which relies on MIMF. Next we design and implement an RCNER (redundancy checking based on NER) algorithm based on NER. Parallel computing greatly accelerates the NER algorithm, which has weak dependence among tasks when executed. Considering this, we present PNER (parallel NER) and apply it to redundancy checking and necessity checking. Furthermore, we design and implement the RCPNER (redundancy checking based on PNER) and NCPPNER (necessary clause partition based on PNER) algorithms as well. The experimental results show that MIMF significantly influences the acceleration of algorithm RCER in formulae on a large scale and high redundancy. Comparing PNER with NER and RCPNER with RCNER, the average speedup can reach up to the number of task decompositions when executed. Comparing NCPNER with the RCNER-based algorithm on separating redundant formulae, speedup increases steadily as the scale of the formulae is incrementing. Finally, we describe the challenges that the extension rule will be faced with and suggest possible solutions.

Whose Knowledge, Whose Development? Use and Role of Local and External Knowledge in Agroforestry Projects in Bolivia.

PubMed

Jacobi, Johanna; Mathez-Stiefel, Sarah-Lan; Gambon, Helen; Rist, Stephan; Altieri, Miguel

2017-03-01

Agroforestry often relies on local knowledge, which is gaining recognition in development projects. However, how local knowledge can articulate with external and scientific knowledge is little known. Our study explored the use and integration of local and external knowledge in agroforestry projects in Bolivia. In 42 field visits and 62 interviews with agroforestry farmers, civil society representatives, and policymakers, we found a diverse knowledge base. We examined how local and external knowledge contribute to livelihood assets and tree and crop diversity. Projects based predominantly on external knowledge tended to promote a single combination of tree and crop species and targeted mainly financial capital, whereas projects with a local or mixed knowledge base tended to focus on food security and increased natural capital (e.g., soil restoration) and used a higher diversity of trees and crops than those with an external knowledge base. The integration of different forms of knowledge can enable farmers to better cope with new challenges emerging as a result of climate change, fluctuating market prices for cash crops, and surrounding destructive land use strategies such as uncontrolled fires and aerial fumigation with herbicides. However, many projects still tended to prioritize external knowledge and undervalue local knowledge-a tendency that has long been institutionalized in the formal educational system and in extension services. More dialogue is needed between different forms of knowledge, which can be promoted by strengthening local organizations and their networks, reforming agricultural educational institutions, and working in close interaction with policymakers.

Generic Tasks for Knowledge-Based Problem Solving: Extension and New Directions

DTIC Science & Technology

1991-02-01

Report. i 3] D. Brown and B. Chandrasekaran. Design: An information processing level analy- sis. In Design Problem Solving: Knowledge Structures and...generic information processing tasks. In Proceedings of the Internaoional Joint Conference on Artificial Inte!lzjence. IJCAI, 1987. [181 B...Chandrasekaran. What kind of information processing is intelligence? a perspective I on ai paradigms and a proposal. In D. Partridge and Y. Wilks, editors

Child and Adolescent Suicidal Behavior: School-Based Prevention, Assessment, and Intervention. Practical Intervention in the Schools Series

ERIC Educational Resources Information Center

Miller, David N.

2011-01-01

Meeting a crucial need, this book distills the best current knowledge on child and adolescent suicide prevention into comprehensive guidelines for school-based practitioners. The author draws on extensive research and clinical experience to provide best-practice recommendations for developing schoolwide prevention programs, conducting risk…

Knowledge Acquisition at Work. IEE Brief Number 2.

ERIC Educational Resources Information Center

Scribner, Sylvia; Sachs, Patricia

An exploratory investigation attempted to determine how learning at work actually takes place and in what ways learning on the job differs from classroom learning. The study was based on extensive observations and interviews over a 5-year period at two manufacturing plants that implemented a computer-based system known as Manufacturing Resource…

Sharing Knowledge, Power, and Respect: Keys in Bringing Communities Together to Improve Science, Practice, and Relationships

ERIC Educational Resources Information Center

Conway, Flaxen D. L.

2006-01-01

Are communities better off because of the efforts of higher education? Extension educators have extended university-based research and technologies that have helped create strong, natural resource-based communities. However, the political and socioeconomic environments in which these communities function are changing even faster than the natural…

Emulation of Industrial Control Field Device Protocols

DTIC Science & Technology

2013-03-01

platforms such as the Arduino ( based on the Atmel AVR architecture) or popular PIC architecture based devices, which are programmed for specific functions...UNIVERSITY AIR FORCE INSTITUTE OF TECHNOLOGY Wright-Patterson Air Force Base , Ohio DISTRIBUTION STATEMENT A. APPROVED FOR PUBLIC RELEASE; DISTRIBUTION...confidence intervals for the mean. Based on these results, extensive knowledge of the specific implementations of the protocols or timing profiles of the

A research-based didactic model for education to promote culturally competent nursing care in Sweden.

PubMed

Gebru, Kerstin; Willman, Ania

2003-01-01

As Sweden changes toward a multicultural society, scientific knowledge of transcultural nursing care becomes increasingly important. Earlier studies in Swedish nursing education have demonstrated a lack of knowledge base in transcultural nursing. Through an extensive review of the literature, a didactic model was developed to help facilitate the establishment of this body of knowledge in transcultural nursing. The article demonstrates how the model applies the content and structure of Leininger's theory of culture care diversity and universality and ethnonursing method in a 3-year nursing program in theory as well as clinical education. The model includes a written guide for faculty members, with references to scientific articles and documents to be used.

Whose Knowledge, Whose Development? Use and Role of Local and External Knowledge in Agroforestry Projects in Bolivia

NASA Astrophysics Data System (ADS)

Jacobi, Johanna; Mathez-Stiefel, Sarah-Lan; Gambon, Helen; Rist, Stephan; Altieri, Miguel

2017-03-01

Agroforestry often relies on local knowledge, which is gaining recognition in development projects. However, how local knowledge can articulate with external and scientific knowledge is little known. Our study explored the use and integration of local and external knowledge in agroforestry projects in Bolivia. In 42 field visits and 62 interviews with agroforestry farmers, civil society representatives, and policymakers, we found a diverse knowledge base. We examined how local and external knowledge contribute to livelihood assets and tree and crop diversity. Projects based predominantly on external knowledge tended to promote a single combination of tree and crop species and targeted mainly financial capital, whereas projects with a local or mixed knowledge base tended to focus on food security and increased natural capital (e.g., soil restoration) and used a higher diversity of trees and crops than those with an external knowledge base. The integration of different forms of knowledge can enable farmers to better cope with new challenges emerging as a result of climate change, fluctuating market prices for cash crops, and surrounding destructive land use strategies such as uncontrolled fires and aerial fumigation with herbicides. However, many projects still tended to prioritize external knowledge and undervalue local knowledge—a tendency that has long been institutionalized in the formal educational system and in extension services. More dialogue is needed between different forms of knowledge, which can be promoted by strengthening local organizations and their networks, reforming agricultural educational institutions, and working in close interaction with policymakers.

Design of Composite Structures Using Knowledge-Based and Case Based Reasoning

NASA Technical Reports Server (NTRS)

Lambright, Jonathan Paul

1996-01-01

A method of using knowledge based and case based reasoning to assist designers during conceptual design tasks of composite structures was proposed. The cooperative use of heuristics, procedural knowledge, and previous similar design cases suggests a potential reduction in design cycle time and ultimately product lead time. The hypothesis of this work is that the design process of composite structures can be improved by using Case-Based Reasoning (CBR) and Knowledge-Based (KB) reasoning in the early design stages. The technique of using knowledge-based and case-based reasoning facilitates the gathering of disparate information into one location that is easily and readily available. The method suggests that the inclusion of downstream life-cycle issues into the conceptual design phase reduces potential of defective, and sub-optimal composite structures. Three industry experts were interviewed extensively. The experts provided design rules, previous design cases, and test problems. A Knowledge Based Reasoning system was developed using the CLIPS (C Language Interpretive Procedural System) environment and a Case Based Reasoning System was developed using the Design Memory Utility For Sharing Experiences (MUSE) xviii environment. A Design Characteristic State (DCS) was used to document the design specifications, constraints, and problem areas using attribute-value pair relationships. The DCS provided consistent design information between the knowledge base and case base. Results indicated that the use of knowledge based and case based reasoning provided a robust design environment for composite structures. The knowledge base provided design guidance from well defined rules and procedural knowledge. The case base provided suggestions on design and manufacturing techniques based on previous similar designs and warnings of potential problems and pitfalls. The case base complemented the knowledge base and extended the problem solving capability beyond the existence of limited well defined rules. The findings indicated that the technique is most effective when used as a design aid and not as a tool to totally automate the composites design process. Other areas of application and implications for future research are discussed.

NASA's online machine aided indexing system

NASA Technical Reports Server (NTRS)

Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

1993-01-01

This report describes the NASA Lexical Dictionary, a machine aided indexing system used online at the National Aeronautics and Space Administration's Center for Aerospace Information (CASI). This system is comprised of a text processor that is based on the computational, non-syntactic analysis of input text, and an extensive 'knowledge base' that serves to recognize and translate text-extracted concepts. The structure and function of the various NLD system components are described in detail. Methods used for the development of the knowledge base are discussed. Particular attention is given to a statistically-based text analysis program that provides the knowledge base developer with a list of concept-specific phrases extracted from large textual corpora. Production and quality benefits resulting from the integration of machine aided indexing at CASI are discussed along with a number of secondary applications of NLD-derived systems including on-line spell checking and machine aided lexicography.

Object-oriented fault tree models applied to system diagnosis

NASA Technical Reports Server (NTRS)

Iverson, David L.; Patterson-Hine, F. A.

1990-01-01

When a diagnosis system is used in a dynamic environment, such as the distributed computer system planned for use on Space Station Freedom, it must execute quickly and its knowledge base must be easily updated. Representing system knowledge as object-oriented augmented fault trees provides both features. The diagnosis system described here is based on the failure cause identification process of the diagnostic system described by Narayanan and Viswanadham. Their system has been enhanced in this implementation by replacing the knowledge base of if-then rules with an object-oriented fault tree representation. This allows the system to perform its task much faster and facilitates dynamic updating of the knowledge base in a changing diagnosis environment. Accessing the information contained in the objects is more efficient than performing a lookup operation on an indexed rule base. Additionally, the object-oriented fault trees can be easily updated to represent current system status. This paper describes the fault tree representation, the diagnosis algorithm extensions, and an example application of this system. Comparisons are made between the object-oriented fault tree knowledge structure solution and one implementation of a rule-based solution. Plans for future work on this system are also discussed.

Predicting links based on knowledge dissemination in complex network

NASA Astrophysics Data System (ADS)

Zhou, Wen; Jia, Yifan

2017-04-01

Link prediction is the task of mining the missing links in networks or predicting the next vertex pair to be connected by a link. A lot of link prediction methods were inspired by evolutionary processes of networks. In this paper, a new mechanism for the formation of complex networks called knowledge dissemination (KD) is proposed with the assumption of knowledge disseminating through the paths of a network. Accordingly, a new link prediction method-knowledge dissemination based link prediction (KDLP)-is proposed to test KD. KDLP characterizes vertex similarity based on knowledge quantity (KQ) which measures the importance of a vertex through H-index. Extensive numerical simulations on six real-world networks demonstrate that KDLP is a strong link prediction method which performs at a higher prediction accuracy than four well-known similarity measures including common neighbors, local path index, average commute time and matrix forest index. Furthermore, based on the common conclusion that an excellent link prediction method reveals a good evolving mechanism, the experiment results suggest that KD is a considerable network evolving mechanism for the formation of complex networks.

Advancements in Hydrology and Erosion Process Understanding and Post-Fire Hydrologic and Erosion Model Development for Semi-Arid Landscapes

NASA Astrophysics Data System (ADS)

Williams, C. Jason; Pierson, Frederick B.; Al-Hamdan, Osama Z.; Robichaud, Peter R.; Nearing, Mark A.; Hernandez, Mariano; Weltz, Mark A.; Spaeth, Kenneth E.; Goodrich, David C.

2017-04-01

Fire activity continues to increase in semi-arid regions around the globe. Private and governmental land management entities are challenged with predicting and mitigating post-fire hydrologic and erosion responses on these landscapes. For more than a decade, a team of scientists with the US Department of Agriculture has collaborated on extensive post-fire hydrologic field research and the application of field research to development of post-fire hydrology and erosion predictive technologies. Experiments funded through this research investigated the impacts of fire on vegetation and soils and the effects of these fire-induced changes on infiltration, runoff generation, erodibility, and soil erosion processes. The distribution of study sites spans diverse topography across grassland, shrubland, and woodland landscapes throughout the western United States. Knowledge gleaned from the extensive field experiments was applied to develop and enhance physically-based models for hillslope- to watershed-scale runoff and erosion prediction. Our field research and subsequent data syntheses have identified key knowledge gaps and challenges regarding post-fire hydrology and erosion modeling. Our presentation details some consistent trends across a diverse domain and varying landscape conditions based on our extensive field campaigns. We demonstrate how field data have advanced our understanding of post-fire hydrology and erosion for semi-arid landscapes and highlight remaining key knowledge gaps. Lastly, we briefly show how our well-replicated experimental methodologies have contributed to advancements in hydrologic and erosion model development for the post-fire environment.

eClims: An Extensible and Dynamic Integration Framework for Biomedical Information Systems.

PubMed

Savonnet, Marinette; Leclercq, Eric; Naubourg, Pierre

2016-11-01

Biomedical information systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new fields of research, and knowledge variability resulting from new discoveries. Beyond data heterogeneity, managing variabilities in the context of BIS requires extensible and dynamic integration process. In this paper, we focus on data and schema variabilities and we propose an integration framework based on ontologies, master data, and semantic annotations. The framework addresses issues related to: 1) collaborative work through a dynamic integration process; 2) variability among studies using an annotation mechanism; and 3) quality control over data and semantic annotations. Our approach relies on two levels of knowledge: BIS-related knowledge is modeled using an application ontology coupled with UML models that allow controlling data completeness and consistency, and domain knowledge is described by a domain ontology, which ensures data coherence. A system build with the eClims framework has been implemented and evaluated in the context of a proteomic platform.

Analyzing the Effectiveness of Vocabulary Knowledge Scale on Learning and Enhancing Vocabulary through Extensive Reading

ERIC Educational Resources Information Center

Iqbal, Syeda Asima; Komal, Syeda Anila

2017-01-01

This research is about the effectiveness of Vocabulary Knowledge Scale after extensive reading which helps in the enhancement of global language skills especially their vocabulary. This research is an endeavor to create an awareness of its significance in language acquisition through extensive reading especially focusing on vocabulary. The…

Extending the university into the community to address healthcare disparities.

PubMed

Fitch, Cindy; Donato, Louise; Strawder, Paula

2013-01-01

Healthcare disparities in rural areas contribute to poor health outcomes, but health outcomes are also affected by social determinants of health and lifestyle behaviors. There is a compelling need to promote physical, mental, and financial health through community-based programs that lead to behavior change. The objective of this article is to disseminate information about West Virginia University Extension Service programming as it relates to health issues in rural communities. There is a WVU Extension office in each county with one or more faculty and staff members. They deliver research-based educational programs that promote diabetes self-management, moderate physical activity, healthier food choices, stress management, fall prevention, and financial competency. Healthcare providers are encouraged to refer clients to their local Extension office for educational programs that put knowledge to work.

Supporting High Quality Teacher-Child Interactions in Pre-K Mathematics

ERIC Educational Resources Information Center

McGuire, Patrick

2010-01-01

The purpose of this three-paper manuscript dissertation is to add value to the limited knowledge base of research surrounding the quality of teacher-child interactions in pre-k mathematics contexts. The first paper, based on an extensive review of literature, presents a theoretical basis for using five-frames to support children's development of…

The eXtensible ontology development (XOD) principles and tool implementation to support ontology interoperability.

PubMed

He, Yongqun; Xiang, Zuoshuang; Zheng, Jie; Lin, Yu; Overton, James A; Ong, Edison

2018-01-12

Ontologies are critical to data/metadata and knowledge standardization, sharing, and analysis. With hundreds of biological and biomedical ontologies developed, it has become critical to ensure ontology interoperability and the usage of interoperable ontologies for standardized data representation and integration. The suite of web-based Ontoanimal tools (e.g., Ontofox, Ontorat, and Ontobee) support different aspects of extensible ontology development. By summarizing the common features of Ontoanimal and other similar tools, we identified and proposed an "eXtensible Ontology Development" (XOD) strategy and its associated four principles. These XOD principles reuse existing terms and semantic relations from reliable ontologies, develop and apply well-established ontology design patterns (ODPs), and involve community efforts to support new ontology development, promoting standardized and interoperable data and knowledge representation and integration. The adoption of the XOD strategy, together with robust XOD tool development, will greatly support ontology interoperability and robust ontology applications to support data to be Findable, Accessible, Interoperable and Reusable (i.e., FAIR).

KBGIS-2: A knowledge-based geographic information system

NASA Technical Reports Server (NTRS)

Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.

1986-01-01

The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.

Circles and Communities, Sharing Practices and Learning: Looking at New Extension Education Approaches

ERIC Educational Resources Information Center

Cristovao, A.; Ferrao, P.; Madeira, R.; Tiberio, M. L.; Rainho, M. J.; Teixeira, M. S.

2009-01-01

We live today in a "knowledge society", but "knowledge transfer" is no longer the dominant extension education paradigm. The principle of "learning to learn" and the concepts of self-directed, collaborative and action learning are more crucial today then ever. The key principles are to stimulate knowledge discovery…

Knowledge based systems: A critical survey of major concepts, issues and techniques. Visuals

NASA Technical Reports Server (NTRS)

Dominick, Wayne D. (Editor); Kavi, Srinu

1984-01-01

This Working Paper Series entry represents a collection of presentation visuals associated with the companion report entitled, Knowledge Based Systems: A Critical Survey of Major Concepts, Issues, and Techniques, USL/DBMS NASA/RECON Working Paper Series report number DBMS.NASA/RECON-9. The objectives of the report are to: examine various techniques used to build the KBS; to examine at least one KBS in detail, i.e., a case study; to list and identify limitations and problems with the KBS; to suggest future areas of research; and to provide extensive reference materials.

European research efforts in medical knowledge-based systems.

PubMed

Stefanelli, M

1993-04-01

This article describes the major projects going on in Europe in the field of Artificial Intelligence in Medicine. The important role of the Commission of the European Communities in providing the needed resources is stressed throughout the paper. Particular attention is given to the methodological and technological issues addressed by the European research teams, since the results which these teams accomplish are fundamental for a more extensive diffusion of knowledge-based systems in real medical settings. The variety of medical problems tackled shows that there is no field of medicine where the potential of advanced informatics technologies has not yet been assessed.

TRIAD: The Translational Research Informatics and Data Management Grid

PubMed Central

Payne, P.; Ervin, D.; Dhaval, R.; Borlawsky, T.; Lai, A.

2011-01-01

Objective Multi-disciplinary and multi-site biomedical research programs frequently require infrastructures capable of enabling the collection, management, analysis, and dissemination of heterogeneous, multi-dimensional, and distributed data and knowledge collections spanning organizational boundaries. We report on the design and initial deployment of an extensible biomedical informatics platform that is intended to address such requirements. Methods A common approach to distributed data, information, and knowledge management needs in the healthcare and life science settings is the deployment and use of a service-oriented architecture (SOA). Such SOA technologies provide for strongly-typed, semantically annotated, and stateful data and analytical services that can be combined into data and knowledge integration and analysis “pipelines.” Using this overall design pattern, we have implemented and evaluated an extensible SOA platform for clinical and translational science applications known as the Translational Research Informatics and Data-management grid (TRIAD). TRIAD is a derivative and extension of the caGrid middleware and has an emphasis on supporting agile “working interoperability” between data, information, and knowledge resources. Results Based upon initial verification and validation studies conducted in the context of a collection of driving clinical and translational research problems, we have been able to demonstrate that TRIAD achieves agile “working interoperability” between distributed data and knowledge sources. Conclusion Informed by our initial verification and validation studies, we believe TRIAD provides an example instance of a lightweight and readily adoptable approach to the use of SOA technologies in the clinical and translational research setting. Furthermore, our initial use cases illustrate the importance and efficacy of enabling “working interoperability” in heterogeneous biomedical environments. PMID:23616879

TRIAD: The Translational Research Informatics and Data Management Grid.

PubMed

Payne, P; Ervin, D; Dhaval, R; Borlawsky, T; Lai, A

2011-01-01

Multi-disciplinary and multi-site biomedical research programs frequently require infrastructures capable of enabling the collection, management, analysis, and dissemination of heterogeneous, multi-dimensional, and distributed data and knowledge collections spanning organizational boundaries. We report on the design and initial deployment of an extensible biomedical informatics platform that is intended to address such requirements. A common approach to distributed data, information, and knowledge management needs in the healthcare and life science settings is the deployment and use of a service-oriented architecture (SOA). Such SOA technologies provide for strongly-typed, semantically annotated, and stateful data and analytical services that can be combined into data and knowledge integration and analysis "pipelines." Using this overall design pattern, we have implemented and evaluated an extensible SOA platform for clinical and translational science applications known as the Translational Research Informatics and Data-management grid (TRIAD). TRIAD is a derivative and extension of the caGrid middleware and has an emphasis on supporting agile "working interoperability" between data, information, and knowledge resources. Based upon initial verification and validation studies conducted in the context of a collection of driving clinical and translational research problems, we have been able to demonstrate that TRIAD achieves agile "working interoperability" between distributed data and knowledge sources. Informed by our initial verification and validation studies, we believe TRIAD provides an example instance of a lightweight and readily adoptable approach to the use of SOA technologies in the clinical and translational research setting. Furthermore, our initial use cases illustrate the importance and efficacy of enabling "working interoperability" in heterogeneous biomedical environments.

Objective estimates based on experimental data and initial and final knowledge

NASA Technical Reports Server (NTRS)

Rosenbaum, B. M.

1972-01-01

An extension of the method of Jaynes, whereby least biased probability estimates are obtained, permits such estimates to be made which account for experimental data on hand as well as prior and posterior knowledge. These estimates can be made for both discrete and continuous sample spaces. The method allows a simple interpretation of Laplace's two rules: the principle of insufficient reason and the rule of succession. Several examples are analyzed by way of illustration.

Genomics Portals: integrative web-platform for mining genomics data.

PubMed

Shinde, Kaustubh; Phatak, Mukta; Johannes, Freudenberg M; Chen, Jing; Li, Qian; Vineet, Joshi K; Hu, Zhen; Ghosh, Krishnendu; Meller, Jaroslaw; Medvedovic, Mario

2010-01-13

A large amount of experimental data generated by modern high-throughput technologies is available through various public repositories. Our knowledge about molecular interaction networks, functional biological pathways and transcriptional regulatory modules is rapidly expanding, and is being organized in lists of functionally related genes. Jointly, these two sources of information hold a tremendous potential for gaining new insights into functioning of living systems. Genomics Portals platform integrates access to an extensive knowledge base and a large database of human, mouse, and rat genomics data with basic analytical visualization tools. It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases. The uniqueness of this platform lies in the volume and the diversity of genomics data that can be accessed and analyzed (gene expression, ChIP-chip, ChIP-seq, epigenomics, computationally predicted binding sites, etc), and the integration with an extensive knowledge base that can be used in such analysis. The integrated access to primary genomics data, functional knowledge and analytical tools makes Genomics Portals platform a unique tool for interpreting results of new genomics experiments and for mining the vast amount of data stored in the Genomics Portals backend databases. Genomics Portals can be accessed and used freely at http://GenomicsPortals.org.

Genomics Portals: integrative web-platform for mining genomics data

PubMed Central

2010-01-01

Background A large amount of experimental data generated by modern high-throughput technologies is available through various public repositories. Our knowledge about molecular interaction networks, functional biological pathways and transcriptional regulatory modules is rapidly expanding, and is being organized in lists of functionally related genes. Jointly, these two sources of information hold a tremendous potential for gaining new insights into functioning of living systems. Results Genomics Portals platform integrates access to an extensive knowledge base and a large database of human, mouse, and rat genomics data with basic analytical visualization tools. It provides the context for analyzing and interpreting new experimental data and the tool for effective mining of a large number of publicly available genomics datasets stored in the back-end databases. The uniqueness of this platform lies in the volume and the diversity of genomics data that can be accessed and analyzed (gene expression, ChIP-chip, ChIP-seq, epigenomics, computationally predicted binding sites, etc), and the integration with an extensive knowledge base that can be used in such analysis. Conclusion The integrated access to primary genomics data, functional knowledge and analytical tools makes Genomics Portals platform a unique tool for interpreting results of new genomics experiments and for mining the vast amount of data stored in the Genomics Portals backend databases. Genomics Portals can be accessed and used freely at http://GenomicsPortals.org. PMID:20070909

Knowledge Transfer: A Case Study of a Community Nutrition Education Program at a Land-Grant University

ERIC Educational Resources Information Center

Hurtado, Ghaffar Ali

2014-01-01

The purpose of this study was to investigate the process of knowledge transfer. The setting is a health and nutrition educational program at University of Minnesota Extension. The main research question was how is Knowledge Transfer being implemented in Extension, specifically Educational Supplemental Nutrition Assistance Program? A case study,…

Demonopolizing medical knowledge.

PubMed

Arora, Sanjeev; Thornton, Karla; Komaromy, Miriam; Kalishman, Summers; Katzman, Joanna; Duhigg, Daniel

2014-01-01

In the past 100 years, there has been an explosion of medical knowledge-and in the next 50 years, more medical knowledge will be available than ever before. Regrettably, current medical practice has been unable to keep pace with this explosion of medical knowledge. Specialized medical knowledge has been confined largely to academic medical centers (i.e., teaching hospitals) and to specialists in major cities; it has been disconnected from primary care clinicians on the front lines of patient care. To bridge this disconnect, medical knowledge must be demonopolized, and a platform for collaborative practice amongst all clinicians needs to be created. A new model of health care and education delivery called Project ECHO (Extension for Community Healthcare Outcomes), developed by the first author, does just this. Using videoconferencing technology and case-based learning, ECHO's medical specialists provide training and mentoring to primary care clinicians working in rural and urban underserved areas so that the latter can deliver the best evidence-based care to patients with complex health conditions in their own communities. The ECHO model increases access to care in rural and underserved areas, and it demonopolizes specialized medical knowledge and expertise.

Advanced Software Development Workstation Project

NASA Technical Reports Server (NTRS)

Lee, Daniel

1989-01-01

The Advanced Software Development Workstation Project, funded by Johnson Space Center, is investigating knowledge-based techniques for software reuse in NASA software development projects. Two prototypes have been demonstrated and a third is now in development. The approach is to build a foundation that provides passive reuse support, add a layer that uses domain-independent programming knowledge, add a layer that supports the acquisition of domain-specific programming knowledge to provide active support, and enhance maintainability and modifiability through an object-oriented approach. The development of new application software would use specification-by-reformulation, based on a cognitive theory of retrieval from very long-term memory in humans, and using an Ada code library and an object base. Current tasks include enhancements to the knowledge representation of Ada packages and abstract data types, extensions to support Ada package instantiation knowledge acquisition, integration with Ada compilers and relational databases, enhancements to the graphical user interface, and demonstration of the system with a NASA contractor-developed trajectory simulation package. Future work will focus on investigating issues involving scale-up and integration.

Fuzzy ontologies for semantic interpretation of remotely sensed images

NASA Astrophysics Data System (ADS)

Djerriri, Khelifa; Malki, Mimoun

2015-10-01

Object-based image classification consists in the assignment of object that share similar attributes to object categories. To perform such a task the remote sensing expert uses its personal knowledge, which is rarely formalized. Ontologies have been proposed as solution to represent domain knowledge agreed by domain experts in a formal and machine readable language. Classical ontology languages are not appropriate to deal with imprecision or vagueness in knowledge. Fortunately, Description Logics for the semantic web has been enhanced by various approaches to handle such knowledge. This paper presents the extension of the traditional ontology-based interpretation with fuzzy ontology of main land-cover classes in Landsat8-OLI scenes (vegetation, built-up areas, water bodies, shadow, clouds, forests) objects. A good classification of image objects was obtained and the results highlight the potential of the method to be replicated over time and space in the perspective of transferability of the procedure.

[Knowledge of AIDS of the medical students from three Mexican universities].

PubMed

Jarillo Soto, E C; Delgadillo Gutiérrez, H J; Granados Cosme, J A

2000-01-01

The Hegemonic Medical Model is discussed and is articulated with the postulates of the sociology of the professions. The information takes Aids as a specific topic, because it involves the aspects of recent scientific development, of clinical and epidemiological importance and due to the research which is being done for its treatment and the production of immunizations. This is a case study of students enrolled in different years of study for medical degrees at the three main universities in México City. A closed-question questionnaire was handed out, checked and corrected, the variables of which were related to three types of knowledge, that is, basic, technical and general. The students were revealed to master this subject to only a minor extent the extensions of the knowledge of the disciplines of the profession however being applied to new cases without the suitable accuracy. A certain degree of dissociation was found to exist among the different types of knowledge which were researched, the professional know-how having been noted to clearly conform within specialized, segmented, curative logic of the Hegemonic Medical Model. The technical, problem-solving knowledge employed in clinical use prevails over the systematic, abstract knowledge of the general knowledge of medicine. A clear notion of the processes based on the dominant medical pattern is revealed in the single-causal relations of the disease. There is an extension of the basic knowledge a the resolving of clinical problems. The medical students are oriented toward taking in knowledge which will be useful to them in clinical practice.

The Intelligent System of Cardiovascular Disease Diagnosis Based on Extension Data Mining

NASA Astrophysics Data System (ADS)

Sun, Baiqing; Li, Yange; Zhang, Lin

This thesis gives the general definition of the concepts of extension knowledge, extension data mining and extension data mining theorem in high dimension space, and also builds the IDSS integrated system by the rough set, expert system and neural network, develops the relevant computer software. From the diagnosis tests, according to the common diseases of myocardial infarctions, angina pectoris and hypertension, and made the test result with physicians, the results shows that the sensitivity, specific and accuracy diagnosis by the IDSS are all higher than the physicians. It can improve the rate of the accuracy diagnosis of physician with the auxiliary help of this system, which have the obvious meaning in low the mortality, disability rate and high the survival rate, and has strong practical values and further social benefits.

Healthcare workers' knowledge and perceptions of the risks associated with emerging extensively drug-resistant bacteria.

PubMed

Celeste, C; Jolivet, S; Bonneton, M; Brun-Buisson, C; Jansen, C

2017-11-01

Guidelines have been issued in 2010 to prevent the spread of emerging extensively resistant bacteria (eXDR), but their implementation is difficult. We aimed to evaluate healthcare workers' (HCW) knowledge and their risk perception to identify barriers to the implementation of guidelines. Semi-structured interviews were conducted at a University Hospital, where case patients are regularly admitted. The interviews focused on HCW's knowledge, risk perception, and challenges met. The evaluation of HCW's knowledge and contagiousness and perception of severity of eXDR carriage were analyzed statistically. Risk perception and opinion about guidelines were analyzed by qualitative description. One hundred and twenty-one HCWs were interviewed. The category of HCW, having searched for information on resistant bacteria, and having taken care of case patients were associated with better knowledge. The HCW category, age, type of unit, seniority, and having taken care of case patients were associated with risk perceptions. Qualitative analysis identified 61 themes. HCWs were extremely concerned by the spread of bacteria within the hospital. The main challenges identified were organizational and communication issues. HCWs reported a lack of knowledge and a lack of resources to implement guidelines. Strategies to improve guidelines implementation must be based on a better availability of resources, better communication, and new educational methods. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Practical and generalizable architecture for an intelligent tutoring system

NASA Astrophysics Data System (ADS)

Kaplan, Randy M.; Trenholm, Harriet

1993-03-01

In this paper we describe an intelligent tutoring system (ITS) called HYDRIVE (hydraulics interactive video experience). This system is built using several novel approaches to intelligent tutoring. The underlying rationale for HYDRIVE is based on the results of a cognitive task analysis. The reasoning component of the system makes extensive use of a hierarchical knowledge representation. Reasoning within the system is accomplished using a logic-based approach and is linked to a highly interactive interface using multimedia. The knowledge representation contains information that drives the multimedia elements of the system, and the reasoning components select the appropriate information to assess student knowledge or guide the student at any particular moment. As this system will be deployed throughout the Air Force maintenance function, the implementation platform is the IBM PC.

Teaching Vocabulary through Poetry in an EFL Classroom

ERIC Educational Resources Information Center

Ozen, Baki; Mohammadzadeh, Behbood

2012-01-01

This study has been conducted to investigate the effectiveness of using poetry to teach vocabulary in a foreign language classroom. It aims to find answers to two research questions (1) "Do the learners enhance more extensive vocabulary knowledge by means of poetry-based vocabulary teaching activities than the traditional coursebook…

Paraprofessionals in Rural Development. Concept Paper.

ERIC Educational Resources Information Center

Colle, Royal D.; And Others

To establish a better knowledge base concerning the role of developing nation paraprofessionals in facilitating rural poor access to public services and in order to identify problems that arise in developing these patterns of service, an extensive literature search and compilation and analysis of over 50 health projects and 30 agricultural…

An Overview of Environmental Education in Middle School Natural Science Courses

ERIC Educational Resources Information Center

Zhanbao, Shu

2004-01-01

Environmental education in middle school natural science courses is based on integrating environmental knowledge into natural science education. Therefore, environmental education objectives should be set as an extension of the objectives for natural science education. However, in order to reach the objectives laid out for environmental education…

Energy: A Cross-Curricular Approach.

ERIC Educational Resources Information Center

Lalonde, Christine

This guide is based on the premise that lives (and lifestyles) revolve around the production, consumption, and conversion of energy. Yet for such an all-encompassing concept little accompanying factual knowledge exists at the grade-school level. The objectives (and the resulting activities and extensions) are focused on the needs of the upper…

The "Test of Financial Literacy": Development and Measurement Characteristics

ERIC Educational Resources Information Center

Walstad, William B.; Rebeck, Ken

2017-01-01

The "Test of Financial Literacy" (TFL) was created to measure the financial knowledge of high school students. Its content is based on the standards and benchmarks stated in the "National Standards for Financial Literacy" (Council for Economic Education 2013). The test development process involved extensive item writing and…

Knowledge Management in E-Learning Practices

ERIC Educational Resources Information Center

Yilmaz, Yucel

2012-01-01

Thanks to extension of IT in educational activities, the difficulties based on time and space are disappearing and the management and the execution of these activities can be implemented more effectively and beneficially. Even though there are significant developments about e-learning both in academic and professional platforms, there are some…

Microelectrodes Based investigation of the Impacts of Water Chemistry on Copper and Iron Corrosion

EPA Science Inventory

The effect of bulk drinking water quality on copper and iron pipe corrosion has been extensively studied. Despite past research, many have argued that bulk water quality does not necessarily reflect water quality near the water-metal interface and that such knowledge is necessary...

Dissemination of Effective Physical Activity Interventions: Are We Applying the Evidence?

ERIC Educational Resources Information Center

Ballew, Paula; Brownson, Ross C.; Haire-Joshu, Debra; Heath, Gregory W.; Kreuter, Matthew W.

2010-01-01

Background: Given sparse knowledge on dissemination, this study sought to explore key benefits, barriers and contextual factors that are perceived to be important to the adoption and implementation of the "Community Guide's" evidence-based physical activity recommendations. Design: We conducted case studies in two states where extensive adoption…

Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

PubMed

DesAutels, Spencer J; Fox, Zachary E; Giuse, Dario A; Williams, Annette M; Kou, Qing-Hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

2016-01-01

Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems.

Finding gene regulatory network candidates using the gene expression knowledge base.

PubMed

Venkatesan, Aravind; Tripathi, Sushil; Sanz de Galdeano, Alejandro; Blondé, Ward; Lægreid, Astrid; Mironov, Vladimir; Kuiper, Martin

2014-12-10

Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of 'omics' data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis. We have developed the Gene eXpression Knowledge Base (GeXKB), a semantic web technology based resource that contains integrated knowledge about gene expression regulation. To affirm the utility of GeXKB we demonstrate how this resource can be exploited for the identification of candidate regulatory network proteins. We present four use cases that were designed from a biological perspective in order to find candidate members relevant for the gastrin hormone signaling network model. We show how a combination of specific query definitions and additional selection criteria derived from gene expression data and prior knowledge concerning candidate proteins can be used to retrieve a set of proteins that constitute valid candidates for regulatory network extensions. Semantic web technologies provide the means for processing and integrating various heterogeneous information sources. The GeXKB offers biologists such an integrated knowledge resource, allowing them to address complex biological questions pertaining to gene expression. This work illustrates how GeXKB can be used in combination with gene expression results and literature information to identify new potential candidates that may be considered for extending a gene regulatory network.

Teacher's Guide to ADHD. What Works for Special-Needs Learners Series

ERIC Educational Resources Information Center

Reid, Robert; Johnson, Joseph

2011-01-01

Meeting a key need for teachers, this book provides practical, data-based tools for helping students with attention-deficit/hyperactivity disorder (ADHD) succeed in the classroom. The authors combine instructional expertise with extensive knowledge about the nature and treatment of ADHD. Coverage includes ways to support students and teach them…

Does Webinar-Based Financial Education Affect Knowledge and Behavior?

ERIC Educational Resources Information Center

Johnson, Carrie L.; Schumacher, Joel B.

2016-01-01

Using webinar delivery for Extension financial education programs allows educators to reach a broader range of clientele. It can, however, be difficult to gauge participants' learning of concepts in an online environment. Evaluations of two webinar series, one in Montana and the other in South Dakota, sought to determine the effectiveness of using…

Thinking Like a 21st Century Nurse: Theories, Instruments and Methodologies to Improve Clinical Thinking

ERIC Educational Resources Information Center

Fountain, Lily

2011-01-01

This cross-sectional descriptive study of the Model of Domain Learning, which describes learners' progress from acclimation through competence to proficiency through the interplay of knowledge, interest and strategic processing/critical thinking (CT), examined its extension to maternity nursing. Based on the identified need for valid, reliable…

Inside PreK Classrooms: A School Leader's Guide to Effective Instruction

ERIC Educational Resources Information Center

Schickedanz, Judith A.; Marchant, Catherine

2018-01-01

"Inside PreK Classrooms" provides school leaders with much-needed guidance and knowledge to ensure quality instruction for their youngest students. Based on their extensive experience working with children and educators, the authors bring readers inside real classrooms, where teachers are grappling with the "big ideas" that lie…

Beyond Affirmative Action: Reframing the Context of Higher Education.

ERIC Educational Resources Information Center

Ibarra, Robert A.

Based on extensive interviews with Latino and Latina students and faculty, this book introduces a theory of "multicontextuality" that proposes that many people learn better when teachers emphasize whole systems of knowledge and that education can create its greatest successes by offering and accepting many approaches to teaching and learning. The…

Using Audience Response Devices for Extension Programming

ERIC Educational Resources Information Center

de Koff, Jason P.

2013-01-01

Audience response devices (ARDs), or "clickers," have traditionally been used in the classroom to take attendance, provide testing of current knowledge and knowledge gain, and assist with review of course topics. The ARDs were used at a recent Extension conference, which provided an opportunity to test how well this tool worked. Though…

Training Sessions Provide Working Knowledge of National Animal Identification System

ERIC Educational Resources Information Center

Glaze, J. Benton, Jr.; Ahola, Jason K.

2010-01-01

One in-service and two train-the-trainer workshops were conducted by University of Idaho Extension faculty, Idaho State Department of Agriculture personnel, and allied industry representatives to increase Extension educators' knowledge and awareness of the National Animal Identification System (NAIS) and related topics. Training sessions included…

A Knowledge-Based System For Analysis, Intervention Planning and Prevention of Defects in Immovable Cultural Heritage Objects and Monuments

NASA Astrophysics Data System (ADS)

Valach, J.; Cacciotti, R.; Kuneš, P.; ČerÅanský, M.; Bláha, J.

2012-04-01

The paper presents a project aiming to develop a knowledge-based system for documentation and analysis of defects of cultural heritage objects and monuments. The MONDIS information system concentrates knowledge on damage of immovable structures due to various causes, and preventive/remedial actions performed to protect/repair them, where possible. The currently built system is to provide for understanding of causal relationships between a defect, materials, external load, and environment of built object. Foundation for the knowledge-based system will be the systemized and formalized knowledge on defects and their mitigation acquired in the process of analysis of a representative set of cases documented in the past. On the basis of design comparability, used technologies, materials and the nature of the external forces and surroundings, the developed software system has the capacity to indicate the most likely risks of new defect occurrence or the extension of the existing ones. The system will also allow for a comparison of the actual failure with similar cases documented and will propose a suitable technical intervention plan. The system will provide conservationists, administrators and owners of historical objects with a toolkit for defect documentation for their objects. Also, advanced artificial intelligence methods will offer accumulated knowledge to users and will also enable them to get oriented in relevant techniques of preventive interventions and reconstructions based on similarity with their case.

Farmers Extension Program Effects on Yield Gap in North China Plain

NASA Astrophysics Data System (ADS)

Sum, N.; Zhao, Y.

2015-12-01

Improving crop yield of the lowest yielding smallholder farmers in developing countries is essential to both food security of the country and the farmers' livelihood. Although wheat and maize production in most developed countries have reached 80% or greater of yield potential determined by simulated models, yield gap remains high in the developing world. One of these cases is the yield gap of maize in the North China Plain (NCP), where the average farmer's yield is 41% of his or her potential yield. This large yield gap indicates opportunity to raise yields substantially by improving agronomy, especially in nutrition management, irrigation facility, and mechanization issues such as technical services. Farmers' agronomic knowledge is essential to yield performance. In order to propagate such knowledge to farmers, agricultural extension programs, especially in-the-field guidance with training programs at targeted demonstration fields, have become prevalent in China. Although traditional analyses of the effects of the extension program are done through surveys, they are limited to only one to two years and to a small area. However, the spatial analysis tool Google Earth Engine (GEE) and its extensive satellite imagery data allow for unprecedented spatial temporal analysis of yield variation. We used GEE to analyze maize yield in Quzhou county in the North China Plain from 2007 to 2013. We based our analysis on the distance from a demonstration farm plot, the source of the farmers' agronomic knowledge. Our hypothesis was that the farther the farmers' fields were from the demonstration plot, the less access they would have to the knowledge, and the less increase in yield over time. Testing this hypothesis using GEE helps us determine the effectiveness of the demonstration plot in disseminating optimal agronomic practices in addition to evaluating yield performance of the demonstration field itself. Furthermore, we can easily extend this methodology to analyze the whole NCP and any other parts of the world for any type of crop.

Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites.

PubMed

Jelínek, Jan; Škoda, Petr; Hoksza, David

2017-12-06

Protein-protein interactions (PPI) play a key role in an investigation of various biochemical processes, and their identification is thus of great importance. Although computational prediction of which amino acids take part in a PPI has been an active field of research for some time, the quality of in-silico methods is still far from perfect. We have developed a novel prediction method called INSPiRE which benefits from a knowledge base built from data available in Protein Data Bank. All proteins involved in PPIs were converted into labeled graphs with nodes corresponding to amino acids and edges to pairs of neighboring amino acids. A structural neighborhood of each node was then encoded into a bit string and stored in the knowledge base. When predicting PPIs, INSPiRE labels amino acids of unknown proteins as interface or non-interface based on how often their structural neighborhood appears as interface or non-interface in the knowledge base. We evaluated INSPiRE's behavior with respect to different types and sizes of the structural neighborhood. Furthermore, we examined the suitability of several different features for labeling the nodes. Our evaluations showed that INSPiRE clearly outperforms existing methods with respect to Matthews correlation coefficient. In this paper we introduce a new knowledge-based method for identification of protein-protein interaction sites called INSPiRE. Its knowledge base utilizes structural patterns of known interaction sites in the Protein Data Bank which are then used for PPI prediction. Extensive experiments on several well-established datasets show that INSPiRE significantly surpasses existing PPI approaches.

Object oriented studies into artificial space debris

NASA Technical Reports Server (NTRS)

Adamson, J. M.; Marshall, G.

1988-01-01

A prototype simulation is being developed under contract to the Royal Aerospace Establishment (RAE), Farnborough, England, to assist in the discrimination of artificial space objects/debris. The methodology undertaken has been to link Object Oriented programming, intelligent knowledge based system (IKBS) techniques and advanced computer technology with numeric analysis to provide a graphical, symbolic simulation. The objective is to provide an additional layer of understanding on top of conventional classification methods. Use is being made of object and rule based knowledge representation, multiple reasoning, truth maintenance and uncertainty. Software tools being used include Knowledge Engineering Environment (KEE) and SymTactics for knowledge representation. Hooks are being developed within the SymTactics framework to incorporate mathematical models describing orbital motion and fragmentation. Penetration and structural analysis can also be incorporated. SymTactics is an Object Oriented discrete event simulation tool built as a domain specific extension to the KEE environment. The tool provides facilities for building, debugging and monitoring dynamic (military) simulations.

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

PubMed Central

Chang, Hang; Han, Ju; Zhong, Cheng; Snijders, Antoine M.; Mao, Jian-Hua

2017-01-01

The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre-learned base knowledge towards tasks with considerably smaller data scale are extremely important. Many of the existing transfer learning techniques are supervised approaches, among which deep learning has the demonstrated power of learning domain transferrable knowledge with large scale network trained on massive amounts of labeled data. However, in many biomedical tasks, both the data and the corresponding label can be very limited, where the unsupervised transfer learning capability is urgently needed. In this paper, we proposed a novel multi-scale convolutional sparse coding (MSCSC) method, that (I) automatically learns filter banks at different scales in a joint fashion with enforced scale-specificity of learned patterns; and (II) provides an unsupervised solution for learning transferable base knowledge and fine-tuning it towards target tasks. Extensive experimental evaluation of MSCSC demonstrates the effectiveness of the proposed MSCSC in both regular and transfer learning tasks in various biomedical domains. PMID:28129148

Bedside, classroom and bench: collaborative strategies to generate evidence-based knowledge for nursing practice.

PubMed

Weaver, Charlotte A; Warren, Judith J; Delaney, Connie

2005-12-01

The rise of evidence-base practice (EBP) as a standard for care delivery is rapidly emerging as a global phenomenon that is transcending political, economic and geographic boundaries. Evidence-based nursing (EBN) addresses the growing body of nursing knowledge supported by different levels of evidence for best practices in nursing care. Across all health care, including nursing, we face the challenge of how to most effectively close the gap between what is known and what is practiced. There is extensive literature on the barriers and difficulties of translating research findings into practical application. While the literature refers to this challenge as the "Bench to Bedside" lag, this paper presents three collaborative strategies that aim to minimize this gap. The Bedside strategy proposes to use the data generated from care delivery and captured in the massive data repositories of electronic health record (EHR) systems as empirical evidence that can be analysed to discover and then inform best practice. In the Classroom strategy, we present a description for how evidence-based nursing knowledge is taught in a baccalaureate nursing program. And finally, the Bench strategy describes applied informatics in converting paper-based EBN protocols into the workflow of clinical information systems. Protocols are translated into reference and executable knowledge with the goal of placing the latest scientific knowledge at the fingertips of front line clinicians. In all three strategies, information technology (IT) is presented as the underlying tool that makes this rapid translation of nursing knowledge into practice and education feasible.

A Knowledge Translation Programme to Increase the Utilization of Thoracic Spine Mobilization and Manipulation for Patients with Neck Pain.

PubMed

Karas, Steve; Westerheide, Angela; Daniel, Laura

2016-06-01

There is extensive evidence that mobilization and manipulation of the thoracic spine is associated with improved outcomes in patients with neck pain. However, these evidence-based techniques are not always utilized. Successful knowledge translation programmes are needed to move the best available evidence to clinical practice. The purpose of the present research was to evaluate the effects of a structured knowledge translation programme on the frequency of manual therapy techniques performed by physical therapists on patients with neck pain. Prior to our intervention, we assessed physical therapists' use of thoracic spine intervention for the treatment of neck pain and their knowledge of the evidence. We delivered a multimodal knowledge translation programme and then reassessed their use and knowledge of the interventions. The majority of our physical therapists increased the use of thoracic spine techniques for their patients with neck pain. The increase was greater in those who used the techniques infrequently. Overall knowledge of the evidence appeared unchanged. Knowledge translation programmes are essential in ensuring clinical use of evidence-based practice. Our programme results, although on a small scale and not statistically significant, showed a positive trend toward increased thoracic spine manual therapy use for neck pain. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Exploration of Novel Materials for Development of Next Generation OPV Devices: Cooperative Research and Development Final Report, CRADA Number CRD-10-398

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

Olson, D.

2012-09-01

Organic-based solar cells offer the potential for low cost, scalable conversion of solar energy. This project will try to utilize the extensive organic synthetic capabilities of ConocoPhillips to produce novel acceptor and donor materials as well potentially as interface modifiers to produce improved OPV devices with greater efficiency and stability. The synthetic effort will be based on the knowledge base and modeling being done at NREL to identify new candidate materials.

Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems

PubMed Central

DesAutels, Spencer J.; Fox, Zachary E.; Giuse, Dario A.; Williams, Annette M.; Kou, Qing-hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

2016-01-01

Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems. PMID:28269846

Agricultural Extension Messages Using Video on Portable Devices Increased Knowledge about Seed Selection, Storage and Handling among Smallholder Potato Farmers in Southwestern Uganda

PubMed Central

Van Campenhout, Bjorn; Vandevelde, Senne; Walukano, Wilberforce; Van Asten, Piet

2017-01-01

To feed a growing population, agricultural productivity needs to increase dramatically. Agricultural extension information, with its public, non-rival nature, is generally undersupplied, and public provision remains challenging. In this study, simple agricultural extension video messages, delivered through Android tablets, were tested in the field to determine if they increased farmers’ knowledge of recommended practices on (i) potato seed selection and (ii) seed storage and handling among a sample of potato farmers in southwestern Uganda. Using a field experiment with ex ante matching in a factorial design, it was established that showing agricultural extension videos significantly increased farmers’ knowledge. However, results suggested impact pathways that went beyond simply replicating what was shown in the video. Video messages may have triggered a process of abstraction, whereby farmers applied insights gained in one context to a different context. PMID:28122005

Challenging the Gifted through Problem Solving Experiences: Design and Evaluation of the COMET Program.

ERIC Educational Resources Information Center

Feldhusen, John F.; And Others

1992-01-01

The COMET summer residential program at Purdue University (Indiana) offers gifted and talented youth in grades 4-6 a week of intensive study in a single content area. Courses stress specific problem-solving skills and development of a rich knowledge base. Extensive program evaluation by students, teachers, counselors, and parents was highly…

DServO: A Peer-to-Peer-based Approach to Biomedical Ontology Repositories.

PubMed

Mambone, Zakaria; Savadogo, Mahamadi; Some, Borlli Michel Jonas; Diallo, Gayo

2015-01-01

We present in this poster an extension of the ServO ontology server system, which adopts a decentralized Peer-To-Peer approach for managing multiple heterogeneous knowledge organization systems. It relies on the use of the JXTA protocol coupled with information retrieval techniques to provide a decentralized infrastructure for managing multiples instances of Ontology Repositories.

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests

ERIC Educational Resources Information Center

Khosravi, Hassan; Kitto, Kirsty; Cooper, Kendra

2017-01-01

Various forms of Peer-Learning Environments are increasingly being used in post-secondary education, often to help build repositories of student generated learning objects. However, large classes can result in an extensive repository, which can make it more challenging for students to search for suitable objects that both reflect their interests…

Evaluating Impacts of School-Based Extension Garden Programs from a Child's Perspective

ERIC Educational Resources Information Center

Rodriguez, Mary T.; Lamm, Alexa J.; Odera, Erica; Owens, Courtney; Thompson, Sandra

2015-01-01

Minority children and adolescents living in rural areas, below poverty guidelines, are less likely to engage in healthy food choices or a healthy lifestyle, and this contributes to obesity issues. Providing children with the skills and knowledge to lead healthy lives is a way to combat this epidemic. Focus groups were conducted at three Extension…

Mind Maps: Hot New Tools Proposed for Cyberspace Librarians.

ERIC Educational Resources Information Center

Humphreys, Nancy K.

1999-01-01

Describes how online searchers can use a software tool based on back-of-the-book indexes to assist in dealing with search engine databases compiled by spiders that crawl across the entire Internet or through large Web sites. Discusses human versus machine knowledge, conversion of indexes to mind maps or mini-thesauri, middleware, eXtensible Markup…

A Prescriptive Model for Resource Allocation at the Intermediate Level Engine Facility.

DTIC Science & Technology

1981-06-01

opinion was to use a linear rela- tionship in the absence of any other method (4). This sug- gestion was based on his extensive knowledge in the area 21 of...Business Publica - tions, Inc., 1980. 16. Shannon, Robert E. Systems Simulation--the Art and Science. Englewood Cliffs NJ: Prentice Hall, Inc., 1975. 17

Is there a relationship between high-quality performance in major teaching hospitals and residents' knowledge of quality and patient safety?

PubMed

Pingleton, Susan K; Horak, Bernard J; Davis, David A; Goldmann, Donald A; Keroack, Mark A; Dickler, Robert M

2009-11-01

The relationship of the quality of teaching hospitals' clinical performance to resident education in quality and patient safety is unclear. The authors studied residents' knowledge of these areas in major teaching hospitals with higher- and lower-quality performance rankings. They assessed the presence of formal and informal quality curricula to determine whether programmatic differences exist. The authors used qualitative research methodology with purposeful sampling. They gathered data from individual structured interviews with residents and key educational and quality leaders in six medical schools and teaching hospitals, which represented a range of quality performance rankings, geographic regions, and public or private status. No relationship emerged between a hospital's quality status, residents' curriculum, and the residents' understanding of quality. Residents' definitions of quality and safety and their knowledge of the practice-based learning and systems-based practice competencies were indistinguishable between hospitals. Residents in all programs had extensive patient safety knowledge acquired through an informal curriculum in the hospital setting. A formal curriculum existed in only two programs, both of them ambulatory settings. Residents' learning about quality and patient safety is extensive, largely through a positive informal curriculum in the teaching hospital and, less frequently, via a formal curriculum. No relationship was found between the quality performance of the teaching hospital and the residents' curriculum or understanding of quality or safety. Residents seem to learn through an informal curriculum provided by hospital initiatives and resources, and thus these data suggest the importance of major teaching hospitals in quality education.

New developments of a knowledge based system (VEG) for inferring vegetation characteristics

NASA Technical Reports Server (NTRS)

Kimes, D. S.; Harrison, P. A.; Harrison, P. R.

1992-01-01

An extraction technique for inferring physical and biological surface properties of vegetation using nadir and/or directional reflectance data as input has been developed. A knowledge-based system (VEG) accepts spectral data of an unknown target as input, determines the best strategy for inferring the desired vegetation characteristic, applies the strategy to the target data, and provides a rigorous estimate of the accuracy of the inference. Progress in developing the system is presented. VEG combines methods from remote sensing and artificial intelligence, and integrates input spectral measurements with diverse knowledge bases. VEG has been developed to (1) infer spectral hemispherical reflectance from any combination of nadir and/or off-nadir view angles; (2) test and develop new extraction techniques on an internal spectral database; (3) browse, plot, or analyze directional reflectance data in the system's spectral database; (4) discriminate between user-defined vegetation classes using spectral and directional reflectance relationships; and (5) infer unknown view angles from known view angles (known as view angle extension).

A Knowledge Generation Model via the Hypernetwork

PubMed Central

Liu, Jian-Guo; Yang, Guang-Yong; Hu, Zhao-Long

2014-01-01

The influence of the statistical properties of the network on the knowledge diffusion has been extensively studied. However, the structure evolution and the knowledge generation processes are always integrated simultaneously. By introducing the Cobb-Douglas production function and treating the knowledge growth as a cooperative production of knowledge, in this paper, we present two knowledge-generation dynamic evolving models based on different evolving mechanisms. The first model, named “HDPH model,” adopts the hyperedge growth and the hyperdegree preferential attachment mechanisms. The second model, named “KSPH model,” adopts the hyperedge growth and the knowledge stock preferential attachment mechanisms. We investigate the effect of the parameters on the total knowledge stock of the two models. The hyperdegree distribution of the HDPH model can be theoretically analyzed by the mean-field theory. The analytic result indicates that the hyperdegree distribution of the HDPH model obeys the power-law distribution and the exponent is . Furthermore, we present the distributions of the knowledge stock for different parameters . The findings indicate that our proposed models could be helpful for deeply understanding the scientific research cooperation. PMID:24626143

A knowledge generation model via the hypernetwork.

PubMed

Liu, Jian-Guo; Yang, Guang-Yong; Hu, Zhao-Long

2014-01-01

The influence of the statistical properties of the network on the knowledge diffusion has been extensively studied. However, the structure evolution and the knowledge generation processes are always integrated simultaneously. By introducing the Cobb-Douglas production function and treating the knowledge growth as a cooperative production of knowledge, in this paper, we present two knowledge-generation dynamic evolving models based on different evolving mechanisms. The first model, named "HDPH model," adopts the hyperedge growth and the hyperdegree preferential attachment mechanisms. The second model, named "KSPH model," adopts the hyperedge growth and the knowledge stock preferential attachment mechanisms. We investigate the effect of the parameters (α,β) on the total knowledge stock of the two models. The hyperdegree distribution of the HDPH model can be theoretically analyzed by the mean-field theory. The analytic result indicates that the hyperdegree distribution of the HDPH model obeys the power-law distribution and the exponent is γ = 2 + 1/m. Furthermore, we present the distributions of the knowledge stock for different parameters (α,β). The findings indicate that our proposed models could be helpful for deeply understanding the scientific research cooperation.

Understanding the role of knowledge in the practice of expert nephrology nurses in Australia.

PubMed

Bonner, Ann

2007-09-01

This paper, which is abstracted from a larger study into the acquisition and exercise of nephrology nursing expertise, aims to explore the role of knowledge in expert practice. Using grounded theory methodology, the study involved 17 registered nurses who were practicing in a metropolitan renal unit in New South Wales, Australia. Concurrent data collection and analysis was undertaken, incorporating participants' observations and interviews. Having extensive nephrology nursing knowledge was a striking characteristic of a nursing expert. Expert nurses clearly relied on and utilized extensive nephrology nursing knowledge to practice. Of importance for nursing, the results of this study indicate that domain-specific knowledge is a crucial feature of expert practice.

An empirically based model for knowledge management in health care organizations.

PubMed

Sibbald, Shannon L; Wathen, C Nadine; Kothari, Anita

2016-01-01

Knowledge management (KM) encompasses strategies, processes, and practices that allow an organization to capture, share, store, access, and use knowledge. Ideal KM combines different sources of knowledge to support innovation and improve performance. Despite the importance of KM in health care organizations (HCOs), there has been very little empirical research to describe KM in this context. This study explores KM in HCOs, focusing on the status of current intraorganizational KM. The intention is to provide insight for future studies and model development for effective KM implementation in HCOs. A qualitative methods approach was used to create an empirically based model of KM in HCOs. Methods included (a) qualitative interviews (n = 24) with senior leadership to identify types of knowledge important in these roles plus current information-seeking behaviors/needs and (b) in-depth case study with leaders in new executive positions (n = 2). The data were collected from 10 HCOs. Our empirically based model for KM was assessed for face and content validity. The findings highlight the paucity of formal KM in our sample HCOs. Organizational culture, leadership, and resources are instrumental in supporting KM processes. An executive's knowledge needs are extensive, but knowledge assets are often limited or difficult to acquire as much of the available information is not in a usable format. We propose an empirically based model for KM to highlight the importance of context (internal and external), and knowledge seeking, synthesis, sharing, and organization. Participants who reviewed the model supported its basic components and processes, and potential for incorporating KM into organizational processes. Our results articulate ways to improve KM, increase organizational learning, and support evidence-informed decision-making. This research has implications for how to better integrate evidence and knowledge into organizations while considering context and the role of organizational processes.

Number-Knower Levels in Young Children: Insights from Bayesian Modeling

ERIC Educational Resources Information Center

Lee, Michael D.; Sarnecka, Barbara W.

2011-01-01

Lee and Sarnecka (2010) developed a Bayesian model of young children's behavior on the Give-N test of number knowledge. This paper presents two new extensions of the model, and applies the model to new data. In the first extension, the model is used to evaluate competing theories about the conceptual knowledge underlying children's behavior. One,…

Extension Agent Knowledge and Programming Behaviors Regarding Healthy Lifestyles Education in Georgia

ERIC Educational Resources Information Center

Lynch, Dana R.; Fuhrman, Nicholas E.; Duncan, Dennis W.; Hanula, Gail M.

2015-01-01

Healthy lifestyles education (HLE) is defined as nutrition and physical activity education aimed at controlling or preventing serious health issues. The purpose of the study reported here was to determine knowledge and behaviors of Extension Family and Consumer Sciences (FACS) and 4-H agents concerning HLE. Eighty-five and 86% of FACS and 4-H…

Shark Bite Meetings for Creative Program Planning

ERIC Educational Resources Information Center

Pellien, Tamara; Yergeau, Steven

2017-01-01

The strength of Cooperative Extension lies in the breadth of knowledge and experience of its faculty and staff. Yet those working in Extension can get so bogged down by the weight of this knowledge and become so focused on details, ownership, and process that it can be hard to respond to emerging needs or work effectively as a group. "Shark…

Linking knowledge and action through mental models of sustainable agriculture.

PubMed

Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

2014-09-09

Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer "mental models" of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems.

Linking knowledge and action through mental models of sustainable agriculture

PubMed Central

Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

2014-01-01

Linking knowledge to action requires understanding how decision-makers conceptualize sustainability. This paper empirically analyzes farmer “mental models” of sustainability from three winegrape-growing regions of California where local extension programs have focused on sustainable agriculture. The mental models are represented as networks where sustainability concepts are nodes, and links are established when a farmer mentions two concepts in their stated definition of sustainability. The results suggest that winegrape grower mental models of sustainability are hierarchically structured, relatively similar across regions, and strongly linked to participation in extension programs and adoption of sustainable farm practices. We discuss the implications of our findings for the debate over the meaning of sustainability, and the role of local extension programs in managing knowledge systems. PMID:25157158

Knowledge Retrieval Solutions.

ERIC Educational Resources Information Center

Khan, Kamran

1998-01-01

Excalibur RetrievalWare offers true knowledge retrieval solutions. Its fundamental technologies, Adaptive Pattern Recognition Processing and Semantic Networks, have capabilities for knowledge discovery and knowledge management of full-text, structured and visual information. The software delivers a combination of accuracy, extensibility,…

Online continuing education course enhances nutrition and health professionals' knowledge of food safety issues of high-risk populations.

PubMed

Wallner, Stephanie; Kendall, Patricia; Hillers, Virginia; Bradshaw, Eva; Medeiros, Lydia C

2007-08-01

To develop and evaluate the efficacy of an online continuing education course for professionals who provide food safety information to high-risk populations. A 2-credit graduate-level class was converted into six web-based modules (overview of foodborne illness, immunology, pregnancy, human immunodeficiency virus, cancer and transplants, and lifecycle) and offered to nutrition and health professionals. Participants had 8 weeks to complete the modules, pre and post questionnaires, and course evaluation. Those who successfully completed the protocol received six continuing education units from one of three professional associations. Change in knowledge was measured using pre and post questionnaires. Course efficacy was evaluated using a post-course questionnaire. A convenience sample of 140 registered dietitians/dietetic technicians registered, nurses, and extension educators were recruited through professional conferences and electronic mailing lists to take the course. Analysis of variance was used to evaluate differences in knowledge scores for all groups across five main effects (attempt, module, profession, age, and education). Course evaluation responses were used to assess course effectiveness. For each module, knowledge scores increased significantly (P<0.001) from pre to post questionnaire. Overall, knowledge scores increased from 67.3% before the modules to 91.9% afterwards. Course evaluation responses were favorable, and participants indicated that course objectives were met. Online continuing education courses, such as "Food Safety Issues for High Risk Populations," seem to be a convenient, effective option for dietetics professionals, nurses, and extension educators seeking knowledge about food safety issues of high-risk populations. Online learning is a promising delivery approach for the continuing education of health professionals.

What reassurances do the community need regarding life extension? Evidence from studies of community attitudes and an analysis of film portrayals.

PubMed

Underwood, Mair

2014-04-01

It is increasingly recognized that community attitudes impact on the research trajectory, entry, and reception of new biotechnologies. Yet biogerontologists have generally been dismissive of public concerns about life extension. There is some evidence that biogerontological research agendas have not been communicated effectively, with studies finding that most community members have little or no knowledge of life extension research. In the absence of knowledge, community members' attitudes may well be shaped by issues raised in popular portrayals of life extension (e.g., in movies). To investigate how popular portrayals of life extension may influence community attitudes, I conducted an analysis of 19 films depicting human life extension across different genres. I focussed on how the pursuit of life extension was depicted, how life extension was achieved, the levels of interest in life extension shown by characters in the films, and the experiences of extended life depicted both at an individual and societal level. This paper compares the results of this analysis with the literature on community attitudes to life extension and makes recommendations about the issues in which the public may require reassurance if they are to support and accept life extension technologies.

Experiential learning implementation based on joint responsibility in women's cooperative development (Case study on Farmer Women Cooperative, Sumedang, West Java)

NASA Astrophysics Data System (ADS)

Suseno, Gijanto Purbo; Nataliningsih

2017-09-01

Cooperative extension is one form of non-formal education. The follow up of cooperative extension is a coaching that aims to cooperative boards and members apply the knowledge and skills acquired during extension. Learning from the experience (experience learning) of others combined with the concept of joint responsibility is expected to develop the participation of cooperative members as indicated by the repayment of loans on time. The research was conducted at Sumedang Farmer Women Cooperative of West Java with the stages of cooperative extension and coaching for 6 months so it can be evaluated its impact. The results showed that from 30 extension participants who stated willingness to be a member of joint responsibility group as many as 15 people (50%), which then divided into 3 groups of mutual responsibility with member of each group is 5 people. The result of impact evaluation showed the development of group dynamics of the joint liability shown by 9 people (60%) developing business, 3 people (20%) business stagnant and 3 (20%) less profitable business. Implementation of experiental learning based on the concept of mutual responsibility encourages the improvement of entrepreneurship and cooperative skills and the ability of members to pay loan installments on cooperatives in a timely manner.

A prototype knowledge-based simulation support system

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

Hill, T.R.; Roberts, S.D.

1987-04-01

As a preliminary step toward the goal of an intelligent automated system for simulation modeling support, we explore the feasibility of the overall concept by generating and testing a prototypical framework. A prototype knowledge-based computer system was developed to support a senior level course in industrial engineering so that the overall feasibility of an expert simulation support system could be studied in a controlled and observable setting. The system behavior mimics the diagnostic (intelligent) process performed by the course instructor and teaching assistants, finding logical errors in INSIGHT simulation models and recommending appropriate corrective measures. The system was programmed inmore » a non-procedural language (PROLOG) and designed to run interactively with students working on course homework and projects. The knowledge-based structure supports intelligent behavior, providing its users with access to an evolving accumulation of expert diagnostic knowledge. The non-procedural approach facilitates the maintenance of the system and helps merge the roles of expert and knowledge engineer by allowing new knowledge to be easily incorporated without regard to the existing flow of control. The background, features and design of the system are describe and preliminary results are reported. Initial success is judged to demonstrate the utility of the reported approach and support the ultimate goal of an intelligent modeling system which can support simulation modelers outside the classroom environment. Finally, future extensions are suggested.« less

Rural Extension Services. Policy Research Working Paper.

ERIC Educational Resources Information Center

Anderson, Jock R.; Feder, Gershon

This paper analyzes the considerations that lead policy makers to undertake extension investments as a key public responsibility, as well as the complex set of factors and intra-agency incentives that explain variations in performance between different extension systems. The goals of extension include transferring knowledge from researchers to…

Public Sector Agricultural Extension System Reform and the Challenges Ahead

ERIC Educational Resources Information Center

Rivera, William M.

2011-01-01

This paper is organized into two main sections. The first section examines extension as an engine for innovation and reviews the numerous priorities confronting extension systems. Section two highlights the current knowledge imperative and the critical connection of extension to post-secondary higher education and training, organizational…

[The elbow joint - a diagnostic challenge : anatomy, biomechanics, and pathology].

PubMed

Schueller-Weidekamm, C; Kainberger, F

2008-12-01

The elbow is one of the most commonly injured joints in sports activities. In particular, weight lifters, golfers, tennis players, and pitchers are affected. Injuries in sports involving overhead throwing are commonly based on the pathophysiologic model of valgus extension overload syndrome. The injuries are commonly complex and demand a good knowledge of the symptoms, the exact anatomy, and the biomechanics to arrive at a precise radiologic diagnosis. The characteristic patterns of injury that occur in specific sports activities are related to a combination of increased varus or valgus and extension or flexion overload that results in tensile forces and/or compression and shear stress. Acute symptoms are frequently based on chronic degeneration of the tendons and ligamentous structures due to repetitive microtrauma from overuse syndrome.

Institutional Innovation and Public Extension Services Provision: The Marche Regional Administration Reform in Central Italy

ERIC Educational Resources Information Center

Pascucci, Stefano; De Magistris, Tiziana

2011-01-01

This paper describes how Marche Regional Administration (MRA) introduced an innovative institutional reform of an Agricultural Knowledge and Information System (AKIS) in central Italy. In order to study the main features of the MRA reform we used a methodological approach based on three steps: (i) first we applied a desk analysis to sketch the…

Using Blogs and New Media in Academic Practice: Potential Roles in Research, Teaching, Learning, and Extension

ERIC Educational Resources Information Center

Powell, Douglas A.; Jacob, Casey J.; Chapman, Benjamin J.

2012-01-01

Compiling a referenced article for publication in a peer-reviewed journal is traditionally the most respected means of contributing to a body of knowledge. However, we argue that publication of evidence-based information via new media--especially blogging--can also be a valid form of academic scholarship. Blogs allow for rapid sharing of research…

Evaluation of the Mental Healthiness Aging Initiative: community program to promote awareness about mental health and aging issues.

PubMed

Zanjani, Faika; Kruger, Tina; Murray, Deborah

2012-04-01

The objective of this study is to evaluate the Mental Healthiness Aging Initiative, designed to promote community awareness and knowledge about mental health and aging issues. This study occurred during 2007-2009 in 67 of 120 counties in Kentucky. A rural region (11 counties) received the intervention, consisting of focus groups, Extension Agent training, and television-based social marketing campaign. Partial-intervention counties (29 counties) received only the television-based social marketing campaign. The control counties (27 counties) received no intervention activities. Results indicated that the intervention counties agreed more with being able to assist elder adults with a potential mental illness. Also, the intervention counties understood the risk of consuming alcohol and medications better, but had a poorer recognition of drinking problems in elder adults. These findings need to be considered within study limitations, such as measurement error, degree of intervention exposure, and regional differences across intervention groups. The study demonstrates that community interventions on mental health awareness and knowledge are feasible within majority rural regions, with Extension Agents being gatekeepers, for promoting positive messages about mental health and aging issues.

Knowledge Based Systems: A Critical Survey of Major Concepts, Issues, and Techniques. M.S. Thesis Final Report, 1 Jul. 1985 - 31 Dec. 1987

NASA Technical Reports Server (NTRS)

Dominick, Wayne D. (Editor); Kavi, Srinu

1984-01-01

This Working Paper Series entry presents a detailed survey of knowledge based systems. After being in a relatively dormant state for many years, only recently is Artificial Intelligence (AI) - that branch of computer science that attempts to have machines emulate intelligent behavior - accomplishing practical results. Most of these results can be attributed to the design and use of Knowledge-Based Systems, KBSs (or ecpert systems) - problem solving computer programs that can reach a level of performance comparable to that of a human expert in some specialized problem domain. These systems can act as a consultant for various requirements like medical diagnosis, military threat analysis, project risk assessment, etc. These systems possess knowledge to enable them to make intelligent desisions. They are, however, not meant to replace the human specialists in any particular domain. A critical survey of recent work in interactive KBSs is reported. A case study (MYCIN) of a KBS, a list of existing KBSs, and an introduction to the Japanese Fifth Generation Computer Project are provided as appendices. Finally, an extensive set of KBS-related references is provided at the end of the report.

Evaluation of Agricultural Professionals' Perceptions and Knowledge on Sustainable Agriculture: A Useful Step in the Development of an Online Extension Program

ERIC Educational Resources Information Center

Menalled, Fabian D.; Grimberg, Bruna I.; Jones, Clain A.

2009-01-01

This study assessed needs, knowledge, and interests of agricultural professionals who were likely to enroll in an online extension course in sustainable agriculture. The objectives of the study were: to (1) describe their demographic characteristics, (2) identify their concerns and interests related to farming, (3) evaluate participants' knowledge…

Tools for knowledge acquisition within the NeuroScholar system and their application to anatomical tract-tracing data

PubMed Central

Burns, Gully APC; Cheng, Wei-Cheng

2006-01-01

Background Knowledge bases that summarize the published literature provide useful online references for specific areas of systems-level biology that are not otherwise supported by large-scale databases. In the field of neuroanatomy, groups of small focused teams have constructed medium size knowledge bases to summarize the literature describing tract-tracing experiments in several species. Despite years of collation and curation, these databases only provide partial coverage of the available published literature. Given that the scientists reading these papers must all generate the interpretations that would normally be entered into such a system, we attempt here to provide general-purpose annotation tools to make it easy for members of the community to contribute to the task of data collation. Results In this paper, we describe an open-source, freely available knowledge management system called 'NeuroScholar' that allows straightforward structured markup of the PDF files according to a well-designed schema to capture the essential details of this class of experiment. Although, the example worked through in this paper is quite specific to neuroanatomical connectivity, the design is freely extensible and could conceivably be used to construct local knowledge bases for other experiment types. Knowledge representations of the experiment are also directly linked to the contributing textual fragments from the original research article. Through the use of this system, not only could members of the community contribute to the collation task, but input data can be gathered for automated approaches to permit knowledge acquisition through the use of Natural Language Processing (NLP). Conclusion We present a functional, working tool to permit users to populate knowledge bases for neuroanatomical connectivity data from the literature through the use of structured questionnaires. This system is open-source, fully functional and available for download from [1]. PMID:16895608

The Strong Family Program: an innovative model to engage Aboriginal and Torres Strait Islander youth and Elders with reproductive and sexual health community education.

PubMed

Duley, P; Botfield, J R; Ritter, T; Wicks, J; Brassil, A

2017-08-01

Issue addressed Aboriginal youth in Australia often experience high rates of intimate partner violence (family violence) and poorer reproductive and sexual health than their non-Aboriginal counterparts. To address some of the disparities, the Strong Family Program was developed to deliver reproductive and sexual health education to Aboriginal communities in New South Wales. Methods Development of the program was based on an extensive consultation process with Aboriginal communities. It was implemented in three communities, with two groups from each hosting Aboriginal youth and Elders in a yarning circle within the culturally respectful frameworks of 'men and boys'' and 'women and girls'' business. An evaluation was conducted to measure reproductive and sexual health knowledge and attitude changes upon program completion, using pre- and post-program surveys and yarning (focus group discussions). Results Program participants comprised 48 females and 28 males. Overall, mean knowledge and attitude scores improved upon completion of the program (from 77% to 82% and from 4.15 to 4.32 out of 5, respectively). Among participants aged 20 years and under (the youngest participant was 13 years), there was an increase in knowledge (P=0.034); among participants aged over 20 years (the oldest participant was 78 years), there was an increase in positive attitudes (P=0.001). Participants perceived the information provided to be useful and relevant, with many reporting improved knowledge and attitudes around rights and respectful relationships. Conclusions Reproductive and sexual health education in Aboriginal communities should be based on community consultations and carried out within a culturally appropriate framework to promote greater success. Continued implementation of the Strong Family Program will promote increased understanding of respectful relationships and improved health outcomes for Aboriginal young people. So what? The Strong Family Program was based on an extensive consultative process that ensured leadership and involvement from Aboriginal communities, with program content and delivery based on Aboriginal pedagogy and reflecting Aboriginal cultural values. Reproductive and sexual health promotion in Aboriginal communities should be based on community consultations and carried out within a culturally appropriate framework to promote greatest success.

A novel knowledge-based potential for RNA 3D structure evaluation

NASA Astrophysics Data System (ADS)

Yang, Yi; Gu, Qi; Zhang, Ben-Gong; Shi, Ya-Zhou; Shao, Zhi-Gang

2018-03-01

Ribonucleic acids (RNAs) play a vital role in biology, and knowledge of their three-dimensional (3D) structure is required to understand their biological functions. Recently structural prediction methods have been developed to address this issue, but a series of RNA 3D structures are generally predicted by most existing methods. Therefore, the evaluation of the predicted structures is generally indispensable. Although several methods have been proposed to assess RNA 3D structures, the existing methods are not precise enough. In this work, a new all-atom knowledge-based potential is developed for more accurately evaluating RNA 3D structures. The potential not only includes local and nonlocal interactions but also fully considers the specificity of each RNA by introducing a retraining mechanism. Based on extensive test sets generated from independent methods, the proposed potential correctly distinguished the native state and ranked near-native conformations to effectively select the best. Furthermore, the proposed potential precisely captured RNA structural features such as base-stacking and base-pairing. Comparisons with existing potential methods show that the proposed potential is very reliable and accurate in RNA 3D structure evaluation. Project supported by the National Science Foundation of China (Grants Nos. 11605125, 11105054, 11274124, and 11401448).

Accessing local knowledge to identify where species of conservation concern occur in a tropical forest landscape.

PubMed

Padmanaba, Michael; Sheil, Douglas; Basuki, Imam; Liswanti, Nining

2013-08-01

Conventional biodiversity surveys play an important role in ensuring good conservation friendly management in tropical forest regions but are demanding in terms of expertise, time, and budget. Can local people help? Here, we illustrate how local knowledge can support low cost conservation surveys. We worked in the Malinau watershed, East Kalimantan, Indonesia, an area currently at risk of extensive forest loss. We selected eight species of regional conservation interest: rafflesia (Rafflesia spp.), black orchid (Coelogyne pandurata), sun bear (Helarctos malayanus), tarsier (Tarsius bancanus), slow loris (Nycticebus coucang), proboscis monkey (Nasalis larvatus), clouded leopard (Neofelis diardi/N. nebulosa), and orang-utan (Pongo pygmaeus). We asked 52 informants in seven villages if, where and when they had observed these species. We used maps, based on both geo-referenced and sketched features, to record these observations. Verification concerns and related issues are discussed. Evaluations suggest our local information is reliable. Our study took 6 weeks and cost about USD 5000. Extensive expert based field surveys across the same region would cost one or two orders of magnitude more. The records extend the known distribution for sun bear, tarsier, slow loris, and clouded leopard. Reports of rafflesia, proboscis monkey, and orang-utan are of immediate conservation significance. While quality concerns should never be abandoned, we conclude that local people can help expand our knowledge of large areas in an effective, reliable, and low cost manner and thus contribute to improved management.

The Roland Maze Project school-based extensive air shower network

NASA Astrophysics Data System (ADS)

Feder, J.; Jȩdrzejczak, K.; Karczmarczyk, J.; Lewandowski, R.; Swarzyński, J.; Szabelska, B.; Szabelski, J.; Wibig, T.

2006-01-01

We plan to construct the large area network of extensive air shower detectors placed on the roofs of high school buildings in the city of Łódź. Detection points will be connected by INTERNET to the central server and their work will be synchronized by GPS. The main scientific goal of the project are studies of ultra high energy cosmic rays. Using existing town infrastructure (INTERNET, power supply, etc.) will significantly reduce the cost of the experiment. Engaging high school students in the research program should significantly increase their knowledge of science and modern technologies, and can be a very efficient way of science popularisation. We performed simulations of the projected network capabilities of registering Extensive Air Showers and reconstructing energies of primary particles. Results of the simulations and the current status of project realisation will be presented.

Developing and Validating a Survey of Korean Early Childhood English Teachers' Knowledge

ERIC Educational Resources Information Center

Kim, Jung In

2015-01-01

The main purpose of this study is to develop and validate a valid measure of the early childhood (EC) English teacher knowledge. Through extensive literature review on second/foreign language (L2/FL) teacher knowledge, early childhood teacher knowledge and early childhood language teacher knowledge, and semi-structured interviews from current…

The Role of Experience in the Behavioral Development of Human Infants: Current Status and Recommendations.

ERIC Educational Resources Information Center

White, Burton L.

This paper is designed as an information guide for those persons responsible for rearing human infants from birth to 18 months. The author provides an extensive review of the literature and trends of research in this area noting that the current volumes of knowledge in this area are not yet dependable enough to provide reliable bases for practice.…

Citizen Science as a Tool for Scientific Research and Societal Benefit at NASA

NASA Technical Reports Server (NTRS)

Kaminski, Amy

2018-01-01

NASA's strategic goals include advancing knowledge and opportunity in space and improving life on Earth. We support these goals through extensive programs in space and Earth science research accomplished via space-based missions and research funding. NASA's "system" is configured to conduct science using (1) in-house personnel and (2) grants, contracts, and agreements with external entities (academia, industry, international space agencies.

Measuring the Relationship between Stellar Scintillation and Altitude: A Simple Discovery-Based Observational Exercise Used in College Level Non-Major Astronomy Classes

ERIC Educational Resources Information Center

Sampson, Russell D.

2013-01-01

A simple naked eye observational exercise is outlined that teaches non-major astronomy students basic observational and critical thinking skills but does not require complex equipment or extensive knowledge of the night sky. Students measure the relationship between stellar scintillation and the altitude of a set of stars. Successful observations…

Ozzie and Harriet Never Were: A Century Review of Family and Consumer Sciences and the Changing American Family

ERIC Educational Resources Information Center

Allen, Kimberly I.; Dunn, Carolyn; Zaslow, Sandra

2011-01-01

As North Carolina FCS celebrates its 100-year centennial, it is time to reflect. For a century, FCS professionals have helped families apply research-based knowledge and principles. This article describes how American families have changed and how we have met those changes in our Extension roles. We also challenge FCS professionals to view the…

Ethnic use of the Tonto: geographic extension of the recreation knowledge base

Treesearch

Denver Hospodarsky; Martha Lee

1995-01-01

The recreational use of the Tonto National Forest, Arizona was investigated by using data on ethnic and racial subgroups. The Tonto is a Class 1 urban proximate forest adjoining the large, culturally diverse population of the Phoenix. An on-site survey of 524 recreating groups found sufficiently large numbers of Anglos (n=425) and Hispanics (n=82) who participated in...

Pre-K-8 Prospective Teachers' Understanding of Fractions: An Extension of Fractions Schemes and Operations Research

ERIC Educational Resources Information Center

Lovin, LouAnn H.; Stevens, Alexis L.; Siegfried, John; Wilkins, Jesse L. M.; Norton, Anderson

2018-01-01

In an effort to expand our knowledge base pertaining to pre-K-8 prospective teachers' understanding of fractions, the present study was designed to extend the work on fractions schemes and operations to this population. One purpose of our study was to validate the fractions schemes and operations hierarchy with the pre-K-8 prospective teacher…

Fault diagnosis of sensor networked structures with multiple faults using a virtual beam based approach

NASA Astrophysics Data System (ADS)

Wang, H.; Jing, X. J.

2017-07-01

This paper presents a virtual beam based approach suitable for conducting diagnosis of multiple faults in complex structures with limited prior knowledge of the faults involved. The "virtual beam", a recently-proposed concept for fault detection in complex structures, is applied, which consists of a chain of sensors representing a vibration energy transmission path embedded in the complex structure. Statistical tests and adaptive threshold are particularly adopted for fault detection due to limited prior knowledge of normal operational conditions and fault conditions. To isolate the multiple faults within a specific structure or substructure of a more complex one, a 'biased running' strategy is developed and embedded within the bacterial-based optimization method to construct effective virtual beams and thus to improve the accuracy of localization. The proposed method is easy and efficient to implement for multiple fault localization with limited prior knowledge of normal conditions and faults. With extensive experimental results, it is validated that the proposed method can localize both single fault and multiple faults more effectively than the classical trust index subtract on negative add on positive (TI-SNAP) method.

Agricultural science in the wild: a social network analysis of farmer knowledge exchange.

PubMed

Wood, Brennon A; Blair, Hugh T; Gray, David I; Kemp, Peter D; Kenyon, Paul R; Morris, Steve T; Sewell, Alison M

2014-01-01

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group's members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings' significance for current efforts to rethink agricultural extension.

Key characteristics of knowledge transfer and exchange in healthcare: integrative literature review.

PubMed

Pentland, Duncan; Forsyth, Kirsty; Maciver, Donald; Walsh, Mike; Murray, Richard; Irvine, Linda; Sikora, Simon

2011-07-01

This paper presents the results of a review of literature relating to knowledge transfer and exchange in healthcare. Treatment, planning and policy decisions in contemporary nursing and healthcare should be based on sound evidence wherever possible, but research knowledge remains generally underused. Knowledge transfer and exchange initiatives aim to facilitate the accessibility, application and production of evidence and may provide solutions to this challenge. This review was conducted to help inform the design and implementation of knowledge transfer and exchange activities for a large healthcare organization. Databases: ASSIA, Business Source Premier, CINAHL, PsychInfo, Medline and the Cochrane Database of Systematic Reviews. An integrative literature review was carried out including an extensive literature search. English language systematic reviews, literature reviews, primary quantitative and qualitative papers and grey literature of high relevance evaluating, describing or discussing knowledge transfer or exchange activities in healthcare were included for review (January 1990-September 2009). Thirty-three papers were reviewed (four systematic reviews, nine literature reviews, one environmental scan, nine empirical studies and ten case studies). Robust research into knowledge transfer and exchange in healthcare is limited. Analysis of a wide range of evidence indicates a number of commonly featured characteristics but further evaluation of these activities would benefit their application in facilitating evidence-based practice in nursing. © 2011 The Authors. Journal of Advanced Nursing © 2011 Blackwell Publishing Ltd.

Queer challenges to evidence-based practice.

PubMed

Zeeman, Laetitia; Aranda, Kay; Grant, Alec

2014-06-01

This paper aims to queer evidence-based practice by troubling the concepts of evidence, knowledge and mental illness. The evidence-based narrative that emerged within biomedicine has dominated health care. The biomedical notion of 'evidence' has been critiqued extensively and is seen as exclusive and limiting, and even though the social constructionist paradigm attempts to challenge the authority of biomedicine to legitimate what constitutes acceptable evidence or knowledge for those experiencing mental illness, biomedical notions of evidence appear to remain relatively intact. Queer theory offers theoretical tools to disrupt biomedical norms and challenges biomedical normativity to indicate how marginalisation occurs when normative truths about mental health classify those who differ from the norm as 'ill' or 'disordered'. Queer theory's emphasis on normativity serves the political aim to subvert marginalisation and bring about radical social and material change. Reference will be made to mental health subjects within each discourse by indicating how the body acts as a vehicle for knowing. Deleuzian notions of the rhizome are used as metaphor to suggest a relational approach to knowledge that does away with either/or positions in either biomedical, or queer knowledge to arrive at a both/and position where the biomedical, constructionist and queer are interrelated and entangled in needing the other for their own evolution. However, queer does not ask for assimilation but celebrates difference by remaining outside to disrupt that which is easily overlooked, assumed to be natural or represented as the norm. The task of queer knowledge is to do justice to the lives lived in the name of evidence-based practice and demands that we consider the relations of power where knowledge is produced. This pursuit creates different knowledge spaces where we identify new intersections that allow for socially just understandings of knowing or evidence to emerge. © 2013 John Wiley & Sons Ltd.

Promoting Reflective Physics Teaching Through the Use of Collaborative Learning Annotation System

NASA Astrophysics Data System (ADS)

Milner-Bolotin, Marina

2018-05-01

Effective physics teaching requires extensive knowledge of physics, relevant pedagogies, and modern educational technologies that can support student learning. Acquiring this knowledge is a challenging task, considering how fast modern technologies and expectations of student learning outcomes and of teaching practices are changing Therefore 21st-century physics teachers should be supported in developing a different way of thinking about technology-enhanced physics teaching and learning. We call it Deliberate Pedagogical Thinking with Technology, and base it on the original Pedagogical Content Knowledge and Technological Pedagogical Content Knowledge frameworks. However, unlike the two aforementioned frameworks, the Deliberate Pedagogical Thinking with Technology emphasizes not only teachers' knowledge, but also their attitudes and dispositions about using digital tools in order to support student learning. This paper examines how an online system that allows an ongoing discussion of videos uploaded on it by the students can support reflection in physics teacher education. Examples of using such a system in physics teacher education and teacher-candidates' feedback on their experiences with it are also discussed.

WE-F-BRB-00: New Developments in Knowledge-Based Treatment Planning and Automation

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

NONE

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

The Development of a National Agricultural Extension Policy in Bangladesh.

ERIC Educational Resources Information Center

Walker, M.; Sarkar, A. A.

1996-01-01

The background of agriculture in Bangladesh and the process of developing a national agricultural extension policy focused on sustainable development are described. The policy explicates the meaning of agricultural extension, use of agricultural knowledge and information systems, and 11 core principles. (SK)

Innovation and design of a web-based pain education interprofessional resource.

PubMed

Lax, Leila; Watt-Watson, Judy; Lui, Michelle; Dubrowski, Adam; McGillion, Michael; Hunter, Judith; Maclennan, Cameron; Knickle, Kerry; Robb, Anja; Lapeyre, Jaime

2011-01-01

The present article describes educational innovation processes and design of a web-based pain interprofessional resource for prelicensure health science students in universities across Canada. Operationalization of educational theory in design coupled with formative evaluation of design are discussed, along with strategies that support collaborative innovation. Educational design was driven by content, theory and evaluation. Pain misbeliefs and teaching points along the continuum from acute to persistent pain were identified. Knowledge-building theory, situated learning, reflection and novel designs for cognitive scaffolding were then employed. Design research principles were incorporated to inform iterative and ongoing design. An authentic patient case was constructed, situated in interprofessional complex care to highlight learning objectives related to pre-operative, postoperative and treatment up to one year, for a surgical cancer patient. Pain mechanisms, assessment and management framed content creation. Knowledge building scaffolds were used, which included video simulations, embedded resources, concurrent feedback, practice-based reflective exercises and commentaries. Scaffolds were refined to specifically support knowledge translation. Illustrative commentaries were designed to explicate pain misbeliefs and best practices. Architecture of the resource was mapped; a multimedia, interactive prototype was created. This pain education resource was developed primarily for individual use, with extensions for interprofessional collective discourse. Translation of curricular content scripts into representation maps supported the collaborative design process by establishing a common visual language. The web-based prototype will be formatively and summatively evaluated to assess pedagogic design, knowledge-translation scaffolds, pain knowledge gains, relevance, feasibility and fidelity of this educational innovation.

Use of cccupancy models to evaluate expert knowledge-based species-habitat relationships

USGS Publications Warehouse

Iglecia, Monica N.; Collazo, Jaime A.; McKerrow, Alexa

2012-01-01

Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Plain of the United States. Experts used published studies, natural history, survey data, and field experience to rank vegetation types as optimal, suitable, and marginal. We used single-season occupancy models, coupled with land cover and Breeding Bird Survey data, to examine the hypothesis that patterns of occupancy conformed to species-habitat suitability rankings purported by experts. Purported habitat suitability was validated for two of three species. As predicted for the Eastern Wood-Pewee (Contopus virens) and Brown-headed Nuthatch (Sitta pusilla), occupancy was strongly influenced by vegetation types classified as “optimal habitat” by the species suitability rankings for nuthatches and wood-pewees. Contrary to predictions, Red-headed Woodpecker (Melanerpes erythrocephalus) models that included vegetation types as covariates received similar support by the data as models without vegetation types. For all three species, occupancy was also related to sampling latitude. Our results suggest that covariates representing other habitat requirements might be necessary to model occurrence of generalist species like the woodpecker. The modeling approach described herein provides a means to test expert knowledge-based species-habitat relationships, and hence, help guide conservation planning.

Illuminate Knowledge Elements in Geoscience Literature

NASA Astrophysics Data System (ADS)

Ma, X.; Zheng, J. G.; Wang, H.; Fox, P. A.

2015-12-01

There are numerous dark data hidden in geoscience literature. Efficient retrieval and reuse of those data will greatly benefit geoscience researches of nowadays. Among the works of data rescue, a topic of interest is illuminating the knowledge framework, i.e. entities and relationships, embedded in documents. Entity recognition and linking have received extensive attention in news and social media analysis, as well as in bioinformatics. In the domain of geoscience, however, such works are limited. We will present our work on how to use knowledge bases on the Web, such as ontologies and vocabularies, to facilitate entity recognition and linking in geoscience literature. The work deploys an un-supervised collective inference approach [1] to link entity mentions in unstructured texts to a knowledge base, which leverages the meaningful information and structures in ontologies and vocabularies for similarity computation and entity ranking. Our work is still in the initial stage towards the detection of knowledge frameworks in literature, and we have been collecting geoscience ontologies and vocabularies in order to build a comprehensive geoscience knowledge base [2]. We hope the work will initiate new ideas and collaborations on dark data rescue, as well as on the synthesis of data and knowledge from geoscience literature. References: 1. Zheng, J., Howsmon, D., Zhang, B., Hahn, J., McGuinness, D.L., Hendler, J., and Ji, H. 2014. Entity linking for biomedical literature. In Proceedings of ACM 8th International Workshop on Data and Text Mining in Bioinformatics, Shanghai, China. 2. Ma, X. Zheng, J., 2015. Linking geoscience entity mentions to the Web of Data. ESIP 2015 Summer Meeting, Pacific Grove, CA.

The Development of Early Childhood Teachers' Language Knowledge in Different Educational Tracks

ERIC Educational Resources Information Center

Strohmer, Janina; Mischo, Christoph

2015-01-01

Early childhood teachers should have extensive knowledge about language and language development, because these facets of professional knowledge are considered as important requirements for fostering language development in early childhood education settings. It is assumed that early childhood teachers acquire this knowledge during pre-service…

Introducing Agronomy Students to the Concepts of Indigenous and Cultural Knowledge.

ERIC Educational Resources Information Center

Schafer, John

1993-01-01

Presents a role for indigenous knowledge in extension education and research programs. Defines indigenous knowledge and then predicts efforts to utilize indigenous knowledge to facilitate the development of agriculture systems that will be agronomically, environmentally, and economically sound and enhance acceptance by practitioners because of the…

A Review of Technological Pedagogical Content Knowledge

ERIC Educational Resources Information Center

Chai, Ching Sing; Koh, Joyce Hwee Ling; Tsai, Chin-Chung

2013-01-01

This paper reviews 74 journal papers that investigate ICT integration from the framework of technological pedagogical content knowledge (TPACK). The TPACK framework is an extension of the pedagogical content knowledge (Shulman, 1986). TPACK is the type of integrative and transformative knowledge teachers need for effective use of ICT in…

Extension in Planned Social Change, the Indian Experience.

ERIC Educational Resources Information Center

Rudramoorthy, B.

Extension, the process of extending the knowledge of recent advances in science and technology to the people who need it, has been emphasized in India since the introduction of the Community Development Programme in 1952. Community development involves two distinct processes--extension education and community organization--and has had four…

The Relationship of Future Agricultural Extension Educators' Cognitive Styles and Change Strategies for Adult Learners

ERIC Educational Resources Information Center

Strong, Robert; Irani, Tracy

2011-01-01

The study expands reported here Extension education's knowledge regarding characteristics of potential change agents. Graduate students learning to become agricultural Extension educators were studied to determine their definition of a change agent. Participants' cognitive styles were assessed using Kirton's Adaptation-Innovation Inventory to…

University Land-Grant Extension and Resistance to Inclusive Epistemologies

ERIC Educational Resources Information Center

Collins, Christopher S.; Mueller, M. Kalehua

2016-01-01

Public land-grant universities have historically engaged with the public through knowledge extension in the agricultural sciences, which later grew into other forms of outreach. Given the important mission of land-grant institutions to positively impact agricultural sciences, this inquiry focuses on the role of agricultural extension and the…

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models

ERIC Educational Resources Information Center

Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus

2015-01-01

Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…

Teaching and Learning Morphology: A Reflection on Generative Vocabulary Instruction

ERIC Educational Resources Information Center

Templeton, Shane

2012-01-01

Students' knowledge of morphology can play a critical role in vocabulary development, and by extension, reading comprehension and writing. This reflection describes the nature of this knowledge and how it may be developed through the examination of generative vocabulary knowledge and the role of the spelling system in developing this knowledge. In…

Ontology-based vector space model and fuzzy query expansion to retrieve knowledge on medical computational problem solutions.

PubMed

Bratsas, Charalampos; Koutkias, Vassilis; Kaimakamis, Evangelos; Bamidis, Panagiotis; Maglaveras, Nicos

2007-01-01

Medical Computational Problem (MCP) solving is related to medical problems and their computerized algorithmic solutions. In this paper, an extension of an ontology-based model to fuzzy logic is presented, as a means to enhance the information retrieval (IR) procedure in semantic management of MCPs. We present herein the methodology followed for the fuzzy expansion of the ontology model, the fuzzy query expansion procedure, as well as an appropriate ontology-based Vector Space Model (VSM) that was constructed for efficient mapping of user-defined MCP search criteria and MCP acquired knowledge. The relevant fuzzy thesaurus is constructed by calculating the simultaneous occurrences of terms and the term-to-term similarities derived from the ontology that utilizes UMLS (Unified Medical Language System) concepts by using Concept Unique Identifiers (CUI), synonyms, semantic types, and broader-narrower relationships for fuzzy query expansion. The current approach constitutes a sophisticated advance for effective, semantics-based MCP-related IR.

The sixth generation robot in space

NASA Technical Reports Server (NTRS)

Butcher, A.; Das, A.; Reddy, Y. V.; Singh, H.

1990-01-01

The knowledge based simulator developed in the artificial intelligence laboratory has become a working test bed for experimenting with intelligent reasoning architectures. With this simulator, recently, small experiments have been done with an aim to simulate robot behavior to avoid colliding paths. An automatic extension of such experiments to intelligently planning robots in space demands advanced reasoning architectures. One such architecture for general purpose problem solving is explored. The robot, seen as a knowledge base machine, goes via predesigned abstraction mechanism for problem understanding and response generation. The three phases in one such abstraction scheme are: abstraction for representation, abstraction for evaluation, and abstraction for resolution. Such abstractions require multimodality. This multimodality requires the use of intensional variables to deal with beliefs in the system. Abstraction mechanisms help in synthesizing possible propagating lattices for such beliefs. The machine controller enters into a sixth generation paradigm.

Fuel Crime Conceptualization through Specialization of Ontology for Investigation Management System

NASA Astrophysics Data System (ADS)

Cybulka, Jolanta

We undertook the task of building the conceptual model of a particular economic offense, called "a fuel crime". This model is thought of as a part of a larger conceptualization, which comprises consensual semantics underlying the knowledge base of a system, aimed at supporting the teamwork of investigators of economic crimes. Because such a knowledge-based system represents a perspective on economic crimes, it should be carefully modeled. This can be done with the help of an expressive enough ontology. To achieve our goal we use the constructive descriptions and situations (c.DnS) design pattern, which enables us to construct an extensible, layered ontology in a top-down manner: c.DnS top layer is specialized by the reference ontology for investigation management system, that in turn, is specialized by the ontology of the fuel crime.

Extension in Tough Times--Addressing Failures in Public and Private Extension, Lessons from the Tasmanian Wool Industry, Australia

ERIC Educational Resources Information Center

Hunt, Warren; Coutts, Jeff

2009-01-01

This paper reports research on the impact of introducing a range of extension approaches into the wool-growing regions of Tasmania Australia to meet an emerging knowledge and skills gap in the sector. The wool-growing industry of the state has experienced minimal government extension support for over 15 years. There is a failure in both private…

Designing Interventions Informed by Scientific Knowledge About Effects of Early Adversity: A Translational Neuroscience Agenda for Next Generation Addictions Research

PubMed Central

Fisher, Philip A.; Berkman, Elliot T.

2015-01-01

In spite of extensive scientific knowledge about the neurobiological systems and neural pathways underlying addictions, only limited progress has been made to reduce the population-level incidence of addictions by using prevention and treatment programs. In this area of research the translation of basic neuroscience of causal mechanisms to effective interventions has not been fully realized. In this article we describe how an understanding of the effects of early adverse experiences on brain and biological development may provide new opportunities to achieve impact at scale with respect to reduction of addictions. We propose four categories of new knowledge that translational neuroscience investigations of addictions should incorporate to be successful. We then describe a translational neuroscience-informed smoking cessation intervention based on this model. PMID:26985399

WE-F-BRB-01: The Power of Ontologies and Standardized Terminologies for Capturing Clinical Knowledge

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

Gabriel, P.

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

Inhibitory control efficiency in a Piaget-like class-inclusion task in school-age children and adults: a developmental negative priming study.

PubMed

Borst, G; Poirel, N; Pineau, A; Cassotti, M; Houdé, O

2013-07-01

Most children under 7 years of age presented with 10 daisies and 2 roses fail to indicate that there are more flowers than daisies. Instead of the appropriate comparison of the relative numerosities of the superordinate class (flowers) to its subordinate class (daisies), they perform a direct perceptual comparison of the extensions of the 2 subordinate classes (daisies vs. roses). In our experiment, we investigated whether increasing efficiency in solving the Piagetian class-inclusion task is related to increasing efficiency in the ability to resist (inhibit) this direct comparison of the subordinate classes' extensions. Ten-year-old and young adult participants performed a computerized priming version of a Piaget-like class-inclusion task. The experimental design was such that the misleading perceptual strategy to inhibit on the prime (in which a superordinate class had to be compared with a subordinate class) became a congruent strategy to activate on the probe (in which the two subordinate classes' extensions were directly compared). We found a negative priming effect of 291 ms in children and 129 ms in adults. These results provide evidence for the first time (a) that adults still need to inhibit the comparison of the subordinate classes' extensions in class-inclusion tasks and (b) that the ability to inhibit this heuristic increases with age (resulting in a lower executive cost). Taken together, these findings provide additional support for the neo-Piagetian approach of cognitive development that suggests that the acquisition of increasingly complex knowledge is based on the ability to resist (inhibit) heuristics and previously acquired knowledge.

Knowledge Claims, Jurisdictional Control and Professional Status: The Case of Nurse Prescribing

PubMed Central

Kroezen, Marieke; van Dijk, Liset; Groenewegen, Peter P.; Francke, Anneke L.

2013-01-01

Over the past decades, professional boundaries in health care have come under pressure, and the expansion of prescriptive authority to include nurses touches on issues of professional domains and interprofessional competition. Knowledge claims play an important role in achieving jurisdictional control. Knowledge can take on multiple forms, ranging from indeterminate to technical (I/T ratio) and from everyday to exclusive knowledge. To investigate the interrelatedness of jurisdiction, knowledge claims and professional status, we examine which knowledge claims were made by the medical and nursing professions in the Netherlands to secure or obtain, respectively, jurisdictional control over prescribing, and which form this knowledge took. The study is based on thirteen semi-structured stakeholder interviews and an extensive document analysis. We found that the nursing profession in its knowledge claims strongly emphasized the technicality and everyday knowledge character of the prescribing task, by asserting that nurses were already prescribing medicines, albeit on an illegal basis. Their second claim focused on the indeterminate knowledge skills of nurses and stated that nurse prescribing would do justice to nurses’ skills and expertise. This is a strong claim in a quest for (higher) professional status. Results showed that the medical profession initially proclaimed that prescribing should be reserved for doctors as it is a task requiring medical knowledge, i.e. indeterminate knowledge. Gradually, however, the medical profession adjusted its claims and tried to reduce nurse prescribing to a task almost exclusively based on technicality knowledge, among others by stating that nurses could prescribe in routine cases, which would generate little professional status. By investigating the form that professional knowledge claims took, this study was able to show the interconnectedness of jurisdictional control, knowledge claims and professional status. Knowledge claims are not mere rhetoric, but actively influence the everyday realities of professional status, interprofessional competition and jurisdictional division between professions. PMID:24124613

Bridging the Gap between Receptive and Productive Vocabulary Size through Extensive Reading

ERIC Educational Resources Information Center

Yamamoto, Yuka

2011-01-01

It is well established that extensive reading promotes the incidental learning of L1 and L2 receptive vocabulary; however, little is known about its effectiveness on productive gains in vocabulary knowledge. This paper investigates the extent to which extensive reading combined with writing tasks promotes productive vocabulary growth of Japanese…

Extension Professionals' Perspectives on Supporting Feedstock Production for Biofuels: Concerns, Challenges, and Opportunities

ERIC Educational Resources Information Center

Townsend, Patricia A.; Haider, Nora M.; Asah, Stanley T.; Zobrist, Kevin W.

2016-01-01

The development of successful bioenergy programs will depend on informed and prepared Extension professionals who are willing and equipped to provide technical support. A survey of Extension professionals in the Pacific Northwest revealed barriers to program development, including limits on time and knowledge and concerns about economic returns…

Agricultural Trainees' and Extension Personnel's Attitudes toward HIV/AIDS: Implications for Extension Service Delivery in Nigeria

ERIC Educational Resources Information Center

Ladebo, Olugbenga Jelil

2004-01-01

This study examined the public stereotypes of HIV-positive persons and the relationship with knowledge about the disease. 164 extension personnel and a convenience sample of 250 undergraduate students from an Agricultural Development Programme and an Agricultural University respectively, were interviewed for the study. Both institutions were…

The Minnesota Maple Series: Community-Generated Knowledge Delivered through an Extension Website

ERIC Educational Resources Information Center

Wilsey, David S.; Miedtke, Juile A.; Sagor, Eli

2012-01-01

Extension continuously seeks novel and effective approaches to outreach and education. The recent retirement of a longtime content specialist catalyzed members of University of Minnesota Extension's Forestry team to reflect on our instructional capacity (internal and external) and educational design in the realm of maple syrup production. We…

A Global Worldview among Extension Professionals: A Case Study of Best Practices for Study Abroad Programs

ERIC Educational Resources Information Center

Lockett, Landry; Moore, Lori; Wingenbach, Gary

2014-01-01

Globalization and diversifying communities in the United States mandate internationally minded Extension professionals and programming. The knowledge necessary for successfully working in international agricultural and Extension education is vast and takes time to acquire. A catalyst for this learning process is participation in university- or…

A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images

NASA Astrophysics Data System (ADS)

Möller, Manuel; Tuot, Christopher; Sintek, Michael

In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified in which an abstraction is performed starting from low-level image features across landmark detection utilizing abstract domain knowledge up to high-level object recognition. We propose a system based on a client-server extension of the scientific workflow platform Kepler that assists the collaboration of medical experts and computer scientists during development and parameter learning.

Intuitive Physics: Current Research and Controversies.

PubMed

Kubricht, James R; Holyoak, Keith J; Lu, Hongjing

2017-10-01

Early research in the field of intuitive physics provided extensive evidence that humans succumb to common misconceptions and biases when predicting, judging, and explaining activity in the physical world. Recent work has demonstrated that, across a diverse range of situations, some biases can be explained by the application of normative physical principles to noisy perceptual inputs. However, it remains unclear how knowledge of physical principles is learned, represented, and applied to novel situations. In this review we discuss theoretical advances from heuristic models to knowledge-based, probabilistic simulation models, as well as recent deep-learning models. We also consider how recent work may be reconciled with earlier findings that favored heuristic models. Copyright © 2017 Elsevier Ltd. All rights reserved.

Innovation and design of a web-based pain education interprofessional resource

PubMed Central

Lax, Leila; Watt-Watson, Judy; Lui, Michelle; Dubrowski, Adam; McGillion, Michael; Hunter, Judith; MacLennan, Cameron; Knickle, Kerry; Robb, Anja; Lapeyre, Jaime

2011-01-01

INTRODUCTION: The present article describes educational innovation processes and design of a web-based pain interprofessional resource for prelicensure health science students in universities across Canada. Operationalization of educational theory in design coupled with formative evaluation of design are discussed, along with strategies that support collaborative innovation. METHODS: Educational design was driven by content, theory and evaluation. Pain misbeliefs and teaching points along the continuum from acute to persistent pain were identified. Knowledge-building theory, situated learning, reflection and novel designs for cognitive scaffolding were then employed. Design research principles were incorporated to inform iterative and ongoing design. RESULTS: An authentic patient case was constructed, situated in inter-professional complex care to highlight learning objectives related to pre-operative, postoperative and treatment up to one year, for a surgical cancer patient. Pain mechanisms, assessment and management framed content creation. Knowledge building scaffolds were used, which included video simulations, embedded resources, concurrent feedback, practice-based reflective exercises and commentaries. Scaffolds were refined to specifically support knowledge translation. Illustrative commentaries were designed to explicate pain misbeliefs and best practices. Architecture of the resource was mapped; a multimedia, interactive prototype was created. This pain education resource was developed primarily for individual use, with extensions for interprofessional collective discourse. DISCUSSION: Translation of curricular content scripts into representation maps supported the collaborative design process by establishing a common visual language. The web-based prototype will be formatively and summatively evaluated to assess pedagogic design, knowledge-translation scaffolds, pain knowledge gains, relevance, feasibility and fidelity of this educational innovation. PMID:22184552

Knowledge Transfer and Capacity for Dissemination: A Review and Proposals for Further Research on Academic Knowledge Transfer

ERIC Educational Resources Information Center

Kuiken, Janna; van der Sijde, Peter

2011-01-01

The process of knowledge transfer has been extensively studied in the context of a variety of theoretical considerations. In this paper the authors adopt a communication theory perspective and focus on capacity for dissemination. Many studies assume that universities are able to disseminate and commercialize their knowledge (and technology).…

Executable medical guidelines with Arden Syntax-Applications in dermatology and obstetrics.

PubMed

Seitinger, Alexander; Rappelsberger, Andrea; Leitich, Harald; Binder, Michael; Adlassnig, Klaus-Peter

2016-08-12

Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or reminder rules, decision trees or tables, clinical protocols or practice guidelines, score algorithms, and others, constitute the core of CDSSs. Several medical knowledge representation and guideline languages have been developed for the formal computerized definition of such knowledge. One of these languages is Arden Syntax for Medical Logic Systems, an International Health Level Seven (HL7) standard whose development started in 1989. Its latest version is 2.10, which was presented in 2014. In the present report we discuss Arden Syntax as a modern medical knowledge representation and processing language, and show that this language is not only well suited to define clinical alerts, reminders, and recommendations, but can also be used to implement and process computerized medical practice guidelines. This section describes how contemporary software such as Java, server software, web-services, XML, is used to implement CDSSs based on Arden Syntax. Special emphasis is given to clinical decision support (CDS) that employs practice guidelines as its clinical knowledge base. Two guideline-based applications using Arden Syntax for medical knowledge representation and processing were developed. The first is a software platform for implementing practice guidelines from dermatology. This application employs fuzzy set theory and logic to represent linguistic and propositional uncertainty in medical data, knowledge, and conclusions. The second application implements a reminder system based on clinically published standard operating procedures in obstetrics to prevent deviations from state-of-the-art care. A to-do list with necessary actions specifically tailored to the gestational week/labor/delivery is generated. Today, with the latest versions of Arden Syntax and the application of contemporary software development methods, Arden Syntax has become a powerful and versatile medical knowledge representation and processing language, well suited to implement a large range of CDSSs, including clinical-practice-guideline-based CDSSs. Moreover, such CDS is provided and can be shared as a service by different medical institutions, redefining the sharing of medical knowledge. Arden Syntax is also highly flexible and provides developers the freedom to use up-to-date software design and programming patterns for external patient data access. Copyright © 2016. Published by Elsevier B.V.

A cross-sectional study about knowledge and attitudes toward multidrug-resistant and extensively drug-resistant tuberculosis in a high-burden drug-resistant country.

PubMed

Javed, Hasnain; Tahir, Zarfishan; Hashmi, Hafiza Jawairia; Jamil, Nazia

2016-06-01

Tuberculosis (TB) is a leading cause of death worldwide, with new threats of multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB. Pakistan is the fifth highest among high-burden TB countries and the fourth highest among high-burden drug-resistant-TB countries. Pakistan is the sixth most populous country in the world, and Pakistani youth is the highest population group in Pakistan and second in the world. This study was aimed at assessing the understanding, awareness, and mindset of university students toward TB, MDR TB, and XDR TB in Lahore. A cross-sectional questionnaire-based study was performed on 1137 individuals from three major public-sector universities in Lahore, Pakistan. Information regarding their knowledge and attitude toward MDR and XDR TB was gathered using a structured questionnaire. Data collected was analyzed using SPSS version 20. Male (531) and female (606) students were asked about different aspects of MDR and XDR TB. Although 80.47% students had good knowledge about simple TB, a very small fraction had awareness and appropriate knowledge about MDR/XDR-TB. Considering TB as a stigma, only 9.3% students disclosed that they had household TB contact. Only 25% students knew about XDR TB. Our results indicated that a small fraction of people knew the exact definition and treatment duration of MDR TB and XDR TB in our society. There is a need to increase the awareness and knowledge status of university students about MDR and XDR TB. Copyright © 2016 Asian-African Society for Mycobacteriology. Published by Elsevier Ltd. All rights reserved.

D and D Knowledge Management Information Tool - 2012 - 12106

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

Upadhyay, H.; Lagos, L.; Quintero, W.

2012-07-01

Deactivation and decommissioning (D and D) work is a high priority activity across the Department of Energy (DOE) complex. Subject matter specialists (SMS) associated with the different ALARA (As-Low-As-Reasonably-Achievable) Centers, DOE sites, Energy Facility Contractors Group (EFCOG) and the D and D community have gained extensive knowledge and experience over the years in the cleanup of the legacy waste from the Manhattan Project. To prevent the D and D knowledge and expertise from being lost over time from the evolving and aging workforce, DOE and the Applied Research Center (ARC) at Florida International University (FIU) proposed to capture and maintainmore » this valuable information in a universally available and easily usable system. D and D KM-IT provides single point access to all D and D related activities through its knowledge base. It is a community driven system. D and D KM-IT makes D and D knowledge available to the people who need it at the time they need it and in a readily usable format. It uses the World Wide Web as the primary source for content in addition to information collected from subject matter specialists and the D and D community. It brings information in real time through web based custom search processes and its dynamic knowledge repository. Future developments include developing a document library, providing D and D information access on mobile devices for the Technology module and Hotline, and coordinating multiple subject matter specialists to support the Hotline. The goal is to deploy a high-end sophisticated and secured system to serve as a single large knowledge base for all the D and D activities. The system consolidates a large amount of information available on the web and presents it to users in the simplest way possible. (authors)« less

Unmanned Sea Surface Vehicle (USSV) Motion Data and Refueling Equipment Design

DTIC Science & Technology

2010-01-01

knowledge of on-coming waves and craft controls system elements. The same information could be used to optimize structural design of USSV hull or host...Carderock Division, Detachment Norfolk Code 232- Systems Design &Integration Little Creek Amphibious Base 2600 Tarawa Court, Norfolk, VA. 23521-3239...and USSV speed. The resulting extensive set of motion and positional data will be useful for future system designers for years to come. This work

An Interactive Immersive Serious Game Application for Kunyu Quantu World Map

NASA Astrophysics Data System (ADS)

Peng, S.-T.; Hsu, S.-Y.; Hsieh, K.-C.

2015-08-01

In recent years, more and more digital technologies and innovative concepts are applied on museum education. One of the concepts applied is "Serious game." Serious game is not designed for entertainment purpose but allows users to learn real world's cultural and educational knowledge in the virtual world through game-experiencing. Technologies applied on serious game are identical to those applied on entertainment game. Nowadays, the interactive technology applications considering users' movement and gestures in physical spaces are developing rapidly, which are extensively used in entertainment games, such as Kinect-based games. The ability to explore space via Kinect-based games can be incorporated into the design of serious game. The ancient world map, Kunyu Quantu, from the collection of the National Palace Museum is therefore applied in serious game development. In general, the ancient world map does not only provide geological information, but also contains museum knowledge. This particular ancient world map is an excellent content applied in games as teaching material. In the 17th century, it was first used by a missionary as a medium to teach the Kangxi Emperor of the latest geologic and scientific spirits from the West. On this map, it also includes written biological knowledge and climate knowledge. Therefore, this research aims to present the design of the interactive and immersive serious game based installation that developed from the rich content of the Kunyu Quantu World Map, and to analyse visitor's experience in terms of real world's cultural knowledge learning and interactive responses.

SAFOD Brittle Microstructure and Mechanics Knowledge Base (BM2KB)

NASA Astrophysics Data System (ADS)

Babaie, Hassan A.; Broda Cindi, M.; Hadizadeh, Jafar; Kumar, Anuj

2013-07-01

Scientific drilling near Parkfield, California has established the San Andreas Fault Observatory at Depth (SAFOD), which provides the solid earth community with short range geophysical and fault zone material data. The BM2KB ontology was developed in order to formalize the knowledge about brittle microstructures in the fault rocks sampled from the SAFOD cores. A knowledge base, instantiated from this domain ontology, stores and presents the observed microstructural and analytical data with respect to implications for brittle deformation and mechanics of faulting. These data can be searched on the knowledge base‧s Web interface by selecting a set of terms (classes, properties) from different drop-down lists that are dynamically populated from the ontology. In addition to this general search, a query can also be conducted to view data contributed by a specific investigator. A search by sample is done using the EarthScope SAFOD Core Viewer that allows a user to locate samples on high resolution images of core sections belonging to different runs and holes. The class hierarchy of the BM2KB ontology was initially designed using the Unified Modeling Language (UML), which was used as a visual guide to develop the ontology in OWL applying the Protégé ontology editor. Various Semantic Web technologies such as the RDF, RDFS, and OWL ontology languages, SPARQL query language, and Pellet reasoning engine, were used to develop the ontology. An interactive Web application interface was developed through Jena, a java based framework, with AJAX technology, jsp pages, and java servlets, and deployed via an Apache tomcat server. The interface allows the registered user to submit data related to their research on a sample of the SAFOD core. The submitted data, after initial review by the knowledge base administrator, are added to the extensible knowledge base and become available in subsequent queries to all types of users. The interface facilitates inference capabilities in the ontology, supports SPARQL queries, allows for modifications based on successive discoveries, and provides an accessible knowledge base on the Web.

Shewanella oneidensis MR-1 nanowires are outer membrane and periplasmic extensions of the extracellular electron transport components

PubMed Central

Pirbadian, Sahand; Barchinger, Sarah E.; Leung, Kar Man; Byun, Hye Suk; Jangir, Yamini; Bouhenni, Rachida A.; Reed, Samantha B.; Romine, Margaret F.; Saffarini, Daad A.; Shi, Liang; Gorby, Yuri A.; Golbeck, John H.; El-Naggar, Mohamed Y.

2014-01-01

Bacterial nanowires offer an extracellular electron transport (EET) pathway for linking the respiratory chain of bacteria to external surfaces, including oxidized metals in the environment and engineered electrodes in renewable energy devices. Despite the global, environmental, and technological consequences of this biotic–abiotic interaction, the composition, physiological relevance, and electron transport mechanisms of bacterial nanowires remain unclear. We report, to our knowledge, the first in vivo observations of the formation and respiratory impact of nanowires in the model metal-reducing microbe Shewanella oneidensis MR-1. Live fluorescence measurements, immunolabeling, and quantitative gene expression analysis point to S. oneidensis MR-1 nanowires as extensions of the outer membrane and periplasm that include the multiheme cytochromes responsible for EET, rather than pilin-based structures as previously thought. These membrane extensions are associated with outer membrane vesicles, structures ubiquitous in Gram-negative bacteria, and are consistent with bacterial nanowires that mediate long-range EET by the previously proposed multistep redox hopping mechanism. Redox-functionalized membrane and vesicular extensions may represent a general microbial strategy for electron transport and energy distribution. PMID:25143589

Shewanella oneidensis MR-1 nanowires are outer membrane and periplasmic extensions of the extracellular electron transport components.

PubMed

Pirbadian, Sahand; Barchinger, Sarah E; Leung, Kar Man; Byun, Hye Suk; Jangir, Yamini; Bouhenni, Rachida A; Reed, Samantha B; Romine, Margaret F; Saffarini, Daad A; Shi, Liang; Gorby, Yuri A; Golbeck, John H; El-Naggar, Mohamed Y

2014-09-02

Bacterial nanowires offer an extracellular electron transport (EET) pathway for linking the respiratory chain of bacteria to external surfaces, including oxidized metals in the environment and engineered electrodes in renewable energy devices. Despite the global, environmental, and technological consequences of this biotic-abiotic interaction, the composition, physiological relevance, and electron transport mechanisms of bacterial nanowires remain unclear. We report, to our knowledge, the first in vivo observations of the formation and respiratory impact of nanowires in the model metal-reducing microbe Shewanella oneidensis MR-1. Live fluorescence measurements, immunolabeling, and quantitative gene expression analysis point to S. oneidensis MR-1 nanowires as extensions of the outer membrane and periplasm that include the multiheme cytochromes responsible for EET, rather than pilin-based structures as previously thought. These membrane extensions are associated with outer membrane vesicles, structures ubiquitous in Gram-negative bacteria, and are consistent with bacterial nanowires that mediate long-range EET by the previously proposed multistep redox hopping mechanism. Redox-functionalized membrane and vesicular extensions may represent a general microbial strategy for electron transport and energy distribution.

Enhancing the Capacity to Create Behavior Change: Extension Key Leaders' Opinions about Social Marketing and Evaluation

ERIC Educational Resources Information Center

Warner, Laura A.

2014-01-01

Extension educators endeavor to create and measure outcomes beyond knowledge gain. The purpose of this qualitative study was to explore the role of social marketing as a method for creating behavior change within the University of Florida Extension system through key leader opinions. Additionally, the study sought to identify perceptions about…

Knowledge Assessment of Food Safety Managers in Utah and Its Implications on the Exam and Instruction

ERIC Educational Resources Information Center

Nummer, Brian A.; Guy, Stanley M.; Bentley, Joanne P. H.

2010-01-01

Food Safety Manager's Certification is offered through a state-local Extension partnership in Utah using an online course management system. Exams and course materials were created by an Extension Specialist at Utah State Univ. Extension Agents provide exam and curriculum facilitation in each county. This form of distance education enables access…

The Role of Extensive Reading in the Development of Phonological Processing

ERIC Educational Resources Information Center

Nisanci, Sinan

2017-01-01

The present study aims to investigate the role of extensive reading in the acquisition of implicit phonological knowledge. Through extensive exposure to print, L2 learners can improve their phonological processing skills, and this could contribute to their word recognition fluency. On the basis of the Oxford Placement Test, 30 9th graders and 30…

Partial Knowledge of Word Meanings: Thematic and Taxonomic Representations

ERIC Educational Resources Information Center

Whitmore, Jeannette M.; Shore, Wendelyn J.; Smith, Peg Hull

2004-01-01

The type of information (taxonomic or thematic) available at different levels of knowledge was investigated. Following extensive norming to identify taxonomic and thematic associates of low-frequency nouns, participants determined if taxonomic or thematic associates were meaningfully related to target words at three levels of knowledge: target…

Valid Knowledge: The Economy and the Academy

ERIC Educational Resources Information Center

Williams, Peter John

2007-01-01

The future of Western universities as public institutions is the subject of extensive continuing debate, underpinned by the issue of what constitutes "valid knowledge". Where in the past only propositional knowledge codified by academics was considered valid, in the new economy enabled by information and communications technology, the procedural…

An Extensive Analysis of Preservice Elementary Teachers' Knowledge of Fractions

ERIC Educational Resources Information Center

Newton, Kristie Jones

2008-01-01

The study of preservice elementary teachers' knowledge of fractions is important because fractions are notoriously difficult to learn and teach. Unfortunately, studies of preservice teachers' fraction knowledge are limited and have focused primarily on division. The present study included all four operations to provide a more comprehensive…

Communication Technologies and Knowledge Building in Agriculture

ERIC Educational Resources Information Center

Segrave, Robin

2004-01-01

The concept of knowledge building communities has not traditionally been associated with agricultural extension, but is one which has the potential to increase the rate of adoption of best management practices by the industry. A potentially important mechanism to facilitate knowledge building is information and communication technology (ICT);…

Extending the "Knowledge Advantage": Creating Learning Chains

ERIC Educational Resources Information Center

Maqsood, Tayyab; Walker, Derek; Finegan, Andrew

2007-01-01

Purpose: The purpose of this paper is to develop a synergy between the approaches of knowledge management in a learning organisation and supply chain management so that learning chains can be created in order to unleash innovation and creativity by managing knowledge in supply chains. Design/methodology/approach: Through extensive literature…

Expertise in Mathematics Instruction: Subject Matter Knowledge.

ERIC Educational Resources Information Center

Leinhardt, Gaea; Smith, Donald

The relationship between expert teachers' classroom behavior and their subject matter knowledge is an area of research that has not been examined extensively. To begin that study, one topic, fraction knowledge, was explored in depth as it occurred in natural teaching settings. Fractions are one of the more difficult topics in elementary…

The Multidisciplinary Imperative in Higher Education. Research & Occasional Paper Series. CSHE.11.10

ERIC Educational Resources Information Center

King, C. Judson

2010-01-01

Disciplines codify related knowledge and have developed powerful approaches that enable both solutions to a wide variety of problems and efficient further extension of knowledge. Individual disciplines have translated into individual departments within universities. Academic departments tend to turn inward, deepening the knowledge within the…

High-School Students' Epistemic Knowledge of Science and Its Relation to Learner Factors in Science Learning

NASA Astrophysics Data System (ADS)

Yang, Fang-Ying; Liu, Shiang-Yao; Hsu, Chung-Yuan; Chiou, Guo-Li; Wu, Hsin-Kai; Wu, Ying-Tien; Chen, Sufen; Liang, Jyh-Chong; Tsai, Meng-Jung; Lee, Silvia W.-Y.; Lee, Min-Hsien; Lin, Che-Li; Chu, Regina Juchun; Tsai, Chin-Chung

2017-04-01

The purpose of this study was to develop and validate an online contextualized test for assessing students' understanding of epistemic knowledge of science. In addition, how students' understanding of epistemic knowledge of science interacts with learner factors, including time spent on science learning, interest, self-efficacy, and gender, was also explored. The participants were 489 senior high school students (244 males and 245 females) from eight different schools in Taiwan. Based on the result of an extensive literature review, we first identified six factors of epistemic knowledge of science, such as status of scientific knowledge, the nature of scientific enterprise, measurement in science, and so on. An online test was then created for assessing students' understanding of the epistemic knowledge of science. Also, a learner-factor survey was developed by adopting previous PISA survey items to measure the abovementioned learner factors. The results of this study show that; (1) by factor analysis, the six factors of epistemic knowledge of science could be grouped into two dimensions which reflect the nature of scientific knowledge and knowing in science, respectively; (2) there was a gender difference in the participants' understanding of the epistemic knowledge of science; and (3) students' interest in science learning and the time spent on science learning were positively correlated to their understanding of the epistemic knowledge of science.

The online Tabloid Proteome: an annotated database of protein associations

PubMed Central

Turan, Demet; Tavernier, Jan

2018-01-01

Abstract A complete knowledge of the proteome can only be attained by determining the associations between proteins, along with the nature of these associations (e.g. physical contact in protein–protein interactions, participation in complex formation or different roles in the same pathway). Despite extensive efforts in elucidating direct protein interactions, our knowledge on the complete spectrum of protein associations remains limited. We therefore developed a new approach that detects protein associations from identifications obtained after re-processing of large-scale, public mass spectrometry-based proteomics data. Our approach infers protein association based on the co-occurrence of proteins across many different proteomics experiments, and provides information that is almost completely complementary to traditional direct protein interaction studies. We here present a web interface to query and explore the associations derived from this method, called the online Tabloid Proteome. The online Tabloid Proteome also integrates biological knowledge from several existing resources to annotate our derived protein associations. The online Tabloid Proteome is freely available through a user-friendly web interface, which provides intuitive navigation and data exploration options for the user at http://iomics.ugent.be/tabloidproteome. PMID:29040688

Oral vocabulary training program for Spanish third-graders with low socio-economic status: A randomized controlled trial

PubMed Central

Simpson, Ian Craig; Valle, Araceli; Defior, Sylvia

2017-01-01

Although the importance of vocabulary training in English speaking countries is well recognized and has been extensively studied, the same is not true for Spanish–few evidence based vocabulary studies for Spanish-speaking children have been reported. Here, two rich oral vocabulary training programs (definition and context), based on literature about vocabulary instruction for English-speaking children, were developed and applied in a sample of 100 Spanish elementary school third-graders recruited from areas of predominantly low socio-economic status (SES). Compared to an alternative read-aloud method which served as the control, both explicit methods were more effective in teaching word meanings when assessed immediately after the intervention. Nevertheless, five months later, only the definition group continued to demonstrate significant vocabulary knowledge gains. The definition method was more effective in specifically teaching children word meanings and, more broadly, in helping children organize and express knowledge of words. We recommend the explicit and rich vocabulary instruction as a means to fostering vocabulary knowledge in low SES children. PMID:29186175

Aboriginal health learning in the forest and cultivated gardens: building a nutritious and sustainable food system.

PubMed

Stroink, Mirella L; Nelson, Connie H

2009-01-01

Sustainable food systems are those in which diverse foods are produced in close proximity to a market. A dynamic, adaptive knowledge base that is grounded in local culture and geography and connected to outside knowledge resources is essential for such food systems to thrive. Sustainable food systems are particularly important to remote and Aboriginal communities, where extensive transportation makes food expensive and of poorer nutritional value. The Learning Garden program was developed and run with two First Nation communities in northwestern Ontario. With this program, the team adopted a holistic and experiential model of learning to begin rebuilding a knowledge base that would support a sustainable local food system. The program involved a series of workshops held in each community and facilitated by a community-based coordinator. Topics included cultivated gardening and forest foods. Results of survey data collected from 20 Aboriginal workshop participants are presented, revealing a moderate to low level of baseline knowledge of the traditional food system, and a reliance on the mainstream food system that is supported by food values that place convenience, ease, and price above the localness or cultural connectedness of the food. Preliminary findings from qualitative data are also presented on the process of learning that occurred in the program and some of the insights we have gained that are relevant to future adaptations of this program.

The assessment of knowledge and learning in competence spaces: The gain-loss model for dependent skills.

PubMed

Anselmi, Pasquale; Stefanutti, Luca; de Chiusole, Debora; Robusto, Egidio

2017-11-01

The gain-loss model (GaLoM) is a formal model for assessing knowledge and learning. In its original formulation, the GaLoM assumes independence among the skills. Such an assumption is not reasonable in several domains, in which some preliminary knowledge is the foundation for other knowledge. This paper presents an extension of the GaLoM to the case in which the skills are not independent, and the dependence relation among them is described by a well-graded competence space. The probability of mastering skill s at the pretest is conditional on the presence of all skills on which s depends. The probabilities of gaining or losing skill s when moving from pretest to posttest are conditional on the mastery of s at the pretest, and on the presence at the posttest of all skills on which s depends. Two formulations of the model are presented, in which the learning path is allowed to change from pretest to posttest or not. A simulation study shows that models based on the true competence space obtain a better fit than models based on false competence spaces, and are also characterized by a higher assessment accuracy. An empirical application shows that models based on pedagogically sound assumptions about the dependencies among the skills obtain a better fit than models assuming independence among the skills. © 2017 The British Psychological Society.

Semantic relatedness for evaluation of course equivalencies

NASA Astrophysics Data System (ADS)

Yang, Beibei

Semantic relatedness, or its inverse, semantic distance, measures the degree of closeness between two pieces of text determined by their meaning. Related work typically measures semantics based on a sparse knowledge base such as WordNet or Cyc that requires intensive manual efforts to build and maintain. Other work is based on a corpus such as the Brown corpus, or more recently, Wikipedia. This dissertation proposes two approaches to applying semantic relatedness to the problem of suggesting transfer course equivalencies. Two course descriptions are given as input to feed the proposed algorithms, which output a value that can be used to help determine if the courses are equivalent. The first proposed approach uses traditional knowledge sources such as WordNet and corpora for courses from multiple fields of study. The second approach uses Wikipedia, the openly-editable encyclopedia, and it focuses on courses from a technical field such as Computer Science. This work shows that it is promising to adapt semantic relatedness to the education field for matching equivalencies between transfer courses. A semantic relatedness measure using traditional knowledge sources such as WordNet performs relatively well on non-technical courses. However, due to the "knowledge acquisition bottleneck," such a resource is not ideal for technical courses, which use an extensive and growing set of technical terms. To address the problem, this work proposes a Wikipedia-based approach which is later shown to be more correlated to human judgment compared to previous work.

Web Video Event Recognition by Semantic Analysis From Ubiquitous Documents.

PubMed

Yu, Litao; Yang, Yang; Huang, Zi; Wang, Peng; Song, Jingkuan; Shen, Heng Tao

2016-12-01

In recent years, the task of event recognition from videos has attracted increasing interest in multimedia area. While most of the existing research was mainly focused on exploring visual cues to handle relatively small-granular events, it is difficult to directly analyze video content without any prior knowledge. Therefore, synthesizing both the visual and semantic analysis is a natural way for video event understanding. In this paper, we study the problem of Web video event recognition, where Web videos often describe large-granular events and carry limited textual information. Key challenges include how to accurately represent event semantics from incomplete textual information and how to effectively explore the correlation between visual and textual cues for video event understanding. We propose a novel framework to perform complex event recognition from Web videos. In order to compensate the insufficient expressive power of visual cues, we construct an event knowledge base by deeply mining semantic information from ubiquitous Web documents. This event knowledge base is capable of describing each event with comprehensive semantics. By utilizing this base, the textual cues for a video can be significantly enriched. Furthermore, we introduce a two-view adaptive regression model, which explores the intrinsic correlation between the visual and textual cues of the videos to learn reliable classifiers. Extensive experiments on two real-world video data sets show the effectiveness of our proposed framework and prove that the event knowledge base indeed helps improve the performance of Web video event recognition.

Designing a training tool for imaging mental models

NASA Technical Reports Server (NTRS)

Dede, Christopher J.; Jayaram, Geetha

1990-01-01

The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network.

Occupational Health in Eastern Europe

PubMed Central

Malan, R. M.

1963-01-01

Progress may be fostered as much by spreading information as by research. The aim of this review is to add to the existing knowledge of the pattern of occupational health services in the socialist countries of Eastern Europe. The work consists of two main parts. Part I is based on official information issued by government departments or typewritten reports prepared by government officials, and relates mostly to the Union of Soviet Socialist Republics and to Czechoslovakia. Part II is largely based on direct observation, discussion, and comparison of the occupational health services in Czechoslovakia, of which I have more extensive knowledge than of the other countries of Eastern Europe. This part embodies a number of conclusions and is followed by a list of bibliographical references. Throughout the review I have endeavoured to show how problems which exist all over the world are dealt with in Eastern Europe. PMID:13932439

Translating Behavioral Science into Practice: A Framework to Determine Science Quality and Applicability for Police Organizations.

PubMed

McClure, Kimberley A; McGuire, Katherine L; Chapan, Denis M

2018-05-07

Policy on officer-involved shootings is critically reviewed and errors in applying scientific knowledge identified. Identifying and evaluating the most relevant science to a field-based problem is challenging. Law enforcement administrators with a clear understanding of valid science and application are in a better position to utilize scientific knowledge for the benefit of their organizations and officers. A recommended framework is proposed for considering the validity of science and its application. Valid science emerges via hypothesis testing, replication, extension and marked by peer review, known error rates, and general acceptance in its field of origin. Valid application of behavioral science requires an understanding of the methodology employed, measures used, and participants recruited to determine whether the science is ready for application. Fostering a science-practitioner partnership and an organizational culture that embraces quality, empirically based policy, and practices improves science-to-practice translation. © 2018 American Academy of Forensic Sciences.

Impact of Chemistry Teachers' Knowledge and Practices on Student Achievement

NASA Astrophysics Data System (ADS)

Scantlebury, Kathryn

2008-10-01

Professional development programs promoting inquiry-based teaching are challenged with providing teachers content knowledge and using pedagogical approaches that model standards based instruction. Inquiry practices are also important for undergraduate students. This paper focuses on the evaluation of an extensive professional development program for chemistry teachers that included chemistry content tests for students and the teachers and the impact of undergraduate research experiences on college students' attitudes towards chemistry. Baseline results for the students showed that there were no gender differences on the achievement test but white students scored significantly higher than non-white students. However, parent/adult involvement with chemistry homework and projects, was a significant negative predictor of 11th grade students' test chemistry achievement score. This paper will focus on students' achievement and attitude results for teachers who are mid-way through the program providing evidence that on-going, sustained professional development in content and pedagogy is critical for improving students' science achievement.

Knowledge diffusion in social work: a new approach to bridging the gap.

PubMed

Herie, Marilyn; Martin, Garth W

2002-01-01

The continuing gap between research and practice has long been a problem in social work. A great deal of the empirical practice literature has emphasized practice evaluation (usually in the form of single-case methodologies) at the expense of research dissemination and utilization. An alternative focus for social work researchers can be found in the extensive theoretical and research literature on knowledge diffusion, technology transfer, and social marketing. Knowledge diffusion and social marketing theory is explored in terms of its relevance to social work education and practice, including a consideration of issues of culture and power. The authors present an integrated dissemination model for social work and use a case example to illustrate the practical application of the model. The OPTIONS (OutPatient Treatment In ONtario Services) project is an example of the effective dissemination of two research-based addiction treatment modalities to nearly 1,000 direct practice clinicians in Ontario, Canada.

Two-dimensional nuclear magnetic resonance structure determination module for introductory biochemistry: synthesis and structural characterization of lyso-glycerophospholipids.

PubMed

Garrett, Teresa A; Rose, Rebecca L; Bell, Sidney M

2013-01-01

In this laboratory module, introductory biochemistry students are exposed to two-dimensional (1) H-nuclear magnetic resonance of glycerophospholipids (GPLs). Working in groups of three, students enzymatically synthesized and purified a variety of 2-acyl lyso GPLs. The structure of the 2-acyl lyso GPL was verified using (1) H-correlation spectroscopy. Students scored significantly higher on an assessment of NMR knowledge after having participated in this lab module and in comparison to a similar cohort who did not participate. Inaddition, student confidence in their NMR knowledge and abilities increased 62% following the module and correlated with their ability to apply their NMR knowledge. Based on these results, the laboratory module was very effective at providing students with a more extensive understanding of the underlying concepts of NMR as a tool for structural determination. Copyright © 2013 International Union of Biochemistry and Molecular Biology, Inc.

Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

PubMed

Shen, Ying; Colloc, Joël; Jacquet-Andrieu, Armelle; Lei, Kai

2015-08-01

This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts. Copyright © 2015 Elsevier Inc. All rights reserved.

A cluster randomized control field trial of the ABRACADABRA web-based reading technology: replication and extension of basic findings

PubMed Central

Piquette, Noella A.; Savage, Robert S.; Abrami, Philip C.

2014-01-01

The present paper reports a cluster randomized control trial evaluation of teaching using ABRACADABRA (ABRA), an evidence-based and web-based literacy intervention (http://abralite.concordia.ca) with 107 kindergarten and 96 grade 1 children in 24 classes (12 intervention 12 control classes) from all 12 elementary schools in one school district in Canada. Children in the intervention condition received 10–12 h of whole class instruction using ABRA between pre- and post-test. Hierarchical linear modeling of post-test results showed significant gains in letter-sound knowledge for intervention classrooms over control classrooms. In addition, medium effect sizes were evident for three of five outcome measures favoring the intervention: letter-sound knowledge (d= +0.66), phonological blending (d = +0.52), and word reading (d = +0.52), over effect sizes for regular teaching. It is concluded that regular teaching with ABRA technology adds significantly to literacy in the early elementary years. PMID:25538663

WebProtégé: A Collaborative Ontology Editor and Knowledge Acquisition Tool for the Web

PubMed Central

Tudorache, Tania; Nyulas, Csongor; Noy, Natalya F.; Musen, Mark A.

2012-01-01

In this paper, we present WebProtégé—a lightweight ontology editor and knowledge acquisition tool for the Web. With the wide adoption of Web 2.0 platforms and the gradual adoption of ontologies and Semantic Web technologies in the real world, we need ontology-development tools that are better suited for the novel ways of interacting, constructing and consuming knowledge. Users today take Web-based content creation and online collaboration for granted. WebProtégé integrates these features as part of the ontology development process itself. We tried to lower the entry barrier to ontology development by providing a tool that is accessible from any Web browser, has extensive support for collaboration, and a highly customizable and pluggable user interface that can be adapted to any level of user expertise. The declarative user interface enabled us to create custom knowledge-acquisition forms tailored for domain experts. We built WebProtégé using the existing Protégé infrastructure, which supports collaboration on the back end side, and the Google Web Toolkit for the front end. The generic and extensible infrastructure allowed us to easily deploy WebProtégé in production settings for several projects. We present the main features of WebProtégé and its architecture and describe briefly some of its uses for real-world projects. WebProtégé is free and open source. An online demo is available at http://webprotege.stanford.edu. PMID:23807872

Improving the Acquisition of Basic Technical Surgical Skills with VR-Based Simulation Coupled with Computer-Based Video Instruction.

PubMed

Rojas, David; Kapralos, Bill; Dubrowski, Adam

2016-01-01

Next to practice, feedback is the most important variable in skill acquisition. Feedback can vary in content and the way that it is used for delivery. Health professions education research has extensively examined the different effects provided by the different feedback methodologies. In this paper we compared two different types of knowledge of performance (KP) feedback. The first type was video-based KP feedback while the second type consisted of computer generated KP feedback. Results of this study showed that computer generated performance feedback is more effective than video based performance feedback. The combination of the two feedback methodologies provides trainees with a better understanding.

EXTENSION EDUCATION SYMPOSIUM: reinventing extension as a resource--what does the future hold?

PubMed

Mirando, M A; Bewley, J M; Blue, J; Amaral-Phillips, D M; Corriher, V A; Whittet, K M; Arthur, N; Patterson, D J

2012-10-01

The mission of the Cooperative Extension Service, as a component of the land-grant university system, is to disseminate new knowledge and to foster its application and use. Opportunities and challenges facing animal agriculture in the United States have changed dramatically over the past few decades and require the use of new approaches and emerging technologies that are available to extension professionals. Increased federal competitive grant funding for extension, the creation of eXtension, the development of smartphone and related electronic technologies, and the rapidly increasing popularity of social media created new opportunities for extension educators to disseminate knowledge to a variety of audiences and engage these audiences in electronic discussions. Competitive grant funding opportunities for extension efforts to advance animal agriculture became available from the USDA National Institute of Food and Agriculture (NIFA) and have increased dramatically in recent years. The majority of NIFA funding opportunities require extension efforts to be integrated with research, and NIFA encourages the use of eXtension and other cutting-edge approaches to extend research to traditional clientele and nontraditional audiences. A case study is presented to illustrate how research and extension were integrated to improve the adoption of AI by beef producers. Those in agriculture are increasingly resorting to the use of social media venues such as Facebook, YouTube, LinkedIn, and Twitter to access information required to support their enterprises. Use of these various approaches by extension educators requires appreciation of the technology and an understanding of how the target audiences access information available on social media. Technology to deliver information is changing rapidly, and Cooperative Extension Service professionals will need to continuously evaluate digital technology and social media tools to appropriately integrate them into learning and educational opportunities.

Agricultural Science in the Wild: A Social Network Analysis of Farmer Knowledge Exchange

PubMed Central

Wood, Brennon A.; Blair, Hugh T.; Gray, David I.; Kemp, Peter D.; Kenyon, Paul R.; Morris, Steve T.; Sewell, Alison M.

2014-01-01

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group’s members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings’ significance for current efforts to rethink agricultural extension. PMID:25121487

A study of knowledge supernetworks and network robustness in different business incubators

NASA Astrophysics Data System (ADS)

Zhang, Haihong; Wu, Wenqing; Zhao, Liming

2016-04-01

As the most important intangible resource of the new generation of business incubators, knowledge has been studied extensively, particularly with respect to how it spreads among incubating firms through knowledge networks. However, these homogeneous networks do not adequately describe the heterogeneity of incubating firms in different types of business incubators. To solve the problem of heterogeneity, the notion of a knowledge supernetwork has been used both to construct a knowledge interaction model among incubating firms and to distinguish social network relationships from knowledge network relationships. The process of knowledge interaction and network evolution can then be simulated with a few rules for incubating firms regarding knowledge innovation/absorption, social network connection, and entry and exit, among other aspects. Knowledge and networks have been used as performance indicators to evaluate the evolution of knowledge supernetworks. Moreover, we study the robustness of incubating firms' social networks by employing four types of attack strategies. Based on our simulation results, we conclude that there have been significant knowledge interaction and network evolution among incubating firms on a periodic basis and that both specialized and diversified business incubators have every advantage necessary in terms of both knowledge and networks to cultivate start-up companies. As far as network robustness is concerned, there is no obvious difference between the two types of business incubators with respect to the stability of their network structures, but specialized business incubators have stronger network communication abilities than diversified business incubators.

Exodus - Distributed artificial intelligence for Shuttle firing rooms

NASA Technical Reports Server (NTRS)

Heard, Astrid E.

1990-01-01

This paper describes the Expert System for Operations Distributed Users (EXODUS), a knowledge-based artificial intelligence system developed for the four Firing Rooms at the Kennedy Space Center. EXODUS is used by the Shuttle engineers and test conductors to monitor and control the sequence of tasks required for processing and launching Shuttle vehicles. In this paper, attention is given to the goals and the design of EXODUS, the operational requirements, and the extensibility of the technology.

The educational impact of the Specialty Care Access Network-Extension of Community Healthcare Outcomes program.

PubMed

Salgia, Reena J; Mullan, Patricia B; McCurdy, Heather; Sales, Anne; Moseley, Richard H; Su, Grace L

2014-11-01

With the aging hepatitis C cohort and increasing prevalence of fatty liver disease, the burden on primary care providers (PCPs) to care for patients with liver disease is growing. In response, the Veterans Administration implemented initiatives for primary care-specialty referral to increase PCP competency in complex disease management. The Specialty Care Access Network-Extension of Community Healthcare Outcomes (SCAN-ECHO) program initiative was designed to transfer subspecialty knowledge to PCPs through case-based distance learning combined with real-time consultation. There is limited information regarding the initiative's ability to engage PCPs to learn and influence their practice. We surveyed PCPs to determine the factors that led to their participation in this program and the educational impact of participation. Of 51 potential participants, 24 responded to an anonymous survey. More than 75% of respondents participated more than one time in a SCAN-ECHO clinic. Providers were motivated to participate by a desire to learn more about liver disease, to apply the knowledge gained to future patients, and to save their patients time traveling to another center for specialty consultation. Seventy-one percent responded that the didactic component and case-based discussion were equally important. It is important that participation changed clinical practice: 75% of providers indicated they had personally discussed the information they learned from the case presentations with their colleague(s), and 42% indicated they helped a colleague care for their patient with the knowledge learned during discussions of other participants' cases. This study shows that the SCAN-ECHO videoconferencing program between PCPs and specialists can educate providers in the delivery of specialty care from a distance and potentially improve healthcare delivery.

Expanding Access to HCV Treatment - Extension for Community Healthcare Outcomes (ECHO) Project: Disruptive Innovation in Specialty Care

PubMed Central

Arora, Sanjeev; Kalishman, Summers; Thornton, Karla; Dion, Denise; Murata, Glen; Deming, Paulina; Parish, Brooke; Brown, John; Komaromy, Miriam; Colleran, Kathleen; Bankhurst, Arthur; Katzman, Joanna; Harkins, Michelle; Curet, Luis; Cosgrove, Ellen; Pak, Wesley

2013-01-01

The Extension for Community Healthcare Outcomes (ECHO) Model was developed by the University of New Mexico Health Sciences Center (UNMHSC) as a platform to deliver complex specialty medical care to underserved populations through an innovative educational model of team-based inter-disciplinary development. Using state-of-the-art telehealth technology, best practice protocols, and case based learning, ECHO trains and supports primary care providers to develop knowledge and self-efficacy on a variety of diseases. As a result, they can deliver best practice care for complex health conditions in communities where specialty care is unavailable. ECHO was first developed for the management of hepatitis C virus (HCV), optimal management of which requires consultation with multi-disciplinary experts in medical specialties, mental health and substance abuse. Few practitioners, particularly in rural and underserved areas, have the knowledge to manage its emerging treatment options, side effects, drug toxicities and treatment-induced depression. In addition data was obtained from observation of ECHO weekly clinics and database of ECHO clinic participation and patient presentations by clinical provider, evaluation of the ECHO program incorporates annual survey integrated into the ECHO annual meeting and routine surveys of community providers about workplace learning, personal and professional experiences, systems and environmental factors associated with professional practice, self-efficacy, facilitators and barriers to ECHO. The initial survey data show a significant improvement in provider knowledge, self-efficacy and professional satisfaction through participation in ECHO HCV clinics. Clinicians reported a moderate to major benefit from participation. We conclude that ECHO expands access to best practice care for underserved populations, builds communities of practice to enhance professional development and satisfaction of primary care clinicians, and expands sustainable capacity for care by building local centers of excellence. PMID:20607688

Integrating across Episodes: Investigating the Long-term Accessibility of Self-derived Knowledge in 4-Year-Old Children

PubMed Central

Varga, Nicole L.; Stewart, Rebekah A.; Bauer, Patricia J.

2016-01-01

Semantic memory, defined as our store of knowledge about the world, provides representational support for all of our higher order cognitive functions. As such, it is crucial that the contents of semantic memory remain accessible over time. Although memory for knowledge learned through direct observation has been previously investigated, we know very little about the retention of knowledge derived through integration of information acquired across separate learning episodes. The present research investigated cross-episode integration in 4-year-old children. Participants were presented with novel facts via distinct story episodes and tested for knowledge extension through cross-episode integration, as well as for retention of the information over a 1-week delay. In Experiment 1, children retained the self-derived knowledge over the delay, though performance was primarily evidenced in a forced-choice format. In Experiment 2, we sought to facilitate the accessibility and robustness of self-derived knowledge by providing a verbal reminder after the delay. The accessibility of self-derived knowledge increased, irrespective of whether participants successfully demonstrated knowledge of the integration facts during the first visit. The results suggest knowledge extended through integration remains accessible after delays, even in a population in which this learning process is less robust. The findings also demonstrate the facilitative effect of reminders on the accessibility and further extension of knowledge over extended time periods. PMID:26774259

The Making of SPINdle

NASA Astrophysics Data System (ADS)

Lam, Ho-Pun; Governatori, Guido

We present the design and implementation of SPINdle - an open source Java based defeasible logic reasoner capable to perform efficient and scalable reasoning on defeasible logic theories (including theories with over 1 million rules). The implementation covers both the standard and modal extensions to defeasible logics. It can be used as a standalone theory prover and can be embedded into any applications as a defeasible logic rule engine. It allows users or agents to issues queries, on a given knowledge base or a theory generated on the fly by other applications, and automatically produces the conclusions of its consequences. The theory can also be represented using XML.

Assessing Extension's Ability to Promote Family Forests as a Woody Biomass Feedstock in the Northeast United States

ERIC Educational Resources Information Center

Germain, Rene' H.; Ghosh, Chandrani

2013-01-01

The study reported here surveyed Extension educators' awareness and knowledge of woody biomass energy and assessed their desire and ability to reach out to family forest owners-a critical feedstock source. The results indicate Extension educators are aware of the potential of woody biomass to serve as a renewable source of energy. Respondents…

A knowledge-based system for patient image pre-fetching in heterogeneous database environments--modeling, design, and evaluation.

PubMed

Wei, C P; Hu, P J; Sheng, O R

2001-03-01

When performing primary reading on a newly taken radiological examination, a radiologist often needs to reference relevant prior images of the same patient for confirmation or comparison purposes. Support of such image references is of clinical importance and may have significant effects on radiologists' examination reading efficiency, service quality, and work satisfaction. To effectively support such image reference needs, we proposed and developed a knowledge-based patient image pre-fetching system, addressing several challenging requirements of the application that include representation and learning of image reference heuristics and management of data-intensive knowledge inferencing. Moreover, the system demands an extensible and maintainable architecture design capable of effectively adapting to a dynamic environment characterized by heterogeneous and autonomous data source systems. In this paper, we developed a synthesized object-oriented entity- relationship model, a conceptual model appropriate for representing radiologists' prior image reference heuristics that are heuristic oriented and data intensive. We detailed the system architecture and design of the knowledge-based patient image pre-fetching system. Our architecture design is based on a client-mediator-server framework, capable of coping with a dynamic environment characterized by distributed, heterogeneous, and highly autonomous data source systems. To adapt to changes in radiologists' patient prior image reference heuristics, ID3-based multidecision-tree induction and CN2-based multidecision induction learning techniques were developed and evaluated. Experimentally, we examined effects of the pre-fetching system we created on radiologists' examination readings. Preliminary results show that the knowledge-based patient image pre-fetching system more accurately supports radiologists' patient prior image reference needs than the current practice adopted at the study site and that radiologists may become more efficient, consultatively effective, and better satisfied when supported by the pre-fetching system than when relying on the study site's pre-fetching practice.

Knowledge Transfer between SMEs and Higher Education Institutions: Differences between Universities and Colleges of Higher Education in the Netherlands

ERIC Educational Resources Information Center

Delfmann, Heike; Koster, Sierdjan

2012-01-01

Knowledge transfer (KT) between higher education institutions (HEIs) and businesses is seen as a key element of innovation in knowledge-driven economies: HEIs generate knowledge that can be adopted in the regional economy. This process of valorization has been studied extensively, mainly with a focus on universities. In the Netherlands, there is a…

Chinese Students' Knowledge and Thinking about America and China

ERIC Educational Resources Information Center

Zhao, Yali; Zhou, Xiaoguang; Huang, Lihong

2008-01-01

The authors interviewed more than one hundred high school students in three regions of China about their knowledge and perceptions of the United States and China. The authors' findings suggest the following: (1) students possess extensive knowledge about the United States in terms of its history, geography, socioeconomic system, and education, and…

Collaborative Research Seed Grants for Integrating Knowledges and Creating New Knowledge

ERIC Educational Resources Information Center

Freitag, Amy

2015-01-01

Incorporating different ways of knowing in research and management has the potential to bring creativity to environmental problem-solving through integrating ways of knowing and innovation via co-producing knowledge. To gain these benefits, North Carolina Sea Grant Extension offers small annual grants called Fisheries Resource Grants to paired…

The Effects of Classroom Socioeconomic Composition on Student's Civic Knowledge in Chile

ERIC Educational Resources Information Center

Collado, Diego; Lomos, Catalina; Nicaise, Ides

2015-01-01

In Chile, the influence of the socioeconomic make-up of classrooms on achievement has been extensively studied in mathematics and language, but less in currently important non-traditional subjects such as civic knowledge. This paper analyses the effects of the socioeconomic composition of classrooms on students' civic knowledge achievement in…

Using Education, Exposure, and Environments to Increase Preschool Children's Knowledge about Fruit and Vegetables

ERIC Educational Resources Information Center

Niemeier, Brandi S.; Tande, Desiree L.; Hwang, Joyce; Stastny, Sherri; Hektner, Joel M.

2010-01-01

Because children's eating habits predict their adult eating habits, educating children about healthy foods is essential (U.S. Department of Health and Human Services, 2000). A Midwest Extension Service created and delivered an educational experience for preschool children to increase knowledge of fruits and vegetables. The knowledge assessment…

Extending TOPS: Ontology-driven Anomaly Detection and Analysis System

NASA Astrophysics Data System (ADS)

Votava, P.; Nemani, R. R.; Michaelis, A.

2010-12-01

Terrestrial Observation and Prediction System (TOPS) is a flexible modeling software system that integrates ecosystem models with frequent satellite and surface weather observations to produce ecosystem nowcasts (assessments of current conditions) and forecasts useful in natural resources management, public health and disaster management. We have been extending the Terrestrial Observation and Prediction System (TOPS) to include a capability for automated anomaly detection and analysis of both on-line (streaming) and off-line data. In order to best capture the knowledge about data hierarchies, Earth science models and implied dependencies between anomalies and occurrences of observable events such as urbanization, deforestation, or fires, we have developed an ontology to serve as a knowledge base. We can query the knowledge base and answer questions about dataset compatibilities, similarities and dependencies so that we can, for example, automatically analyze similar datasets in order to verify a given anomaly occurrence in multiple data sources. We are further extending the system to go beyond anomaly detection towards reasoning about possible causes of anomalies that are also encoded in the knowledge base as either learned or implied knowledge. This enables us to scale up the analysis by eliminating a large number of anomalies early on during the processing by either failure to verify them from other sources, or matching them directly with other observable events without having to perform an extensive and time-consuming exploration and analysis. The knowledge is captured using OWL ontology language, where connections are defined in a schema that is later extended by including specific instances of datasets and models. The information is stored using Sesame server and is accessible through both Java API and web services using SeRQL and SPARQL query languages. Inference is provided using OWLIM component integrated with Sesame.

Knowledge Discovery, Integration and Communication for Extreme Weather and Flood Resilience Using Artificial Intelligence: Flood AI Alpha

NASA Astrophysics Data System (ADS)

Demir, I.; Sermet, M. Y.

2016-12-01

Nobody is immune from extreme events or natural hazards that can lead to large-scale consequences for the nation and public. One of the solutions to reduce the impacts of extreme events is to invest in improving resilience with the ability to better prepare, plan, recover, and adapt to disasters. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This abstracts presents our project on developing a resilience framework for flooding to improve societal preparedness with objectives; (a) develop a generalized ontology for extreme events with primary focus on flooding; (b) develop a knowledge engine with voice recognition, artificial intelligence, natural language processing, and inference engine. The knowledge engine will utilize the flood ontology and concepts to connect user input to relevant knowledge discovery outputs on flooding; (c) develop a data acquisition and processing framework from existing environmental observations, forecast models, and social networks. The system will utilize the framework, capabilities and user base of the Iowa Flood Information System (IFIS) to populate and test the system; (d) develop a communication framework to support user interaction and delivery of information to users. The interaction and delivery channels will include voice and text input via web-based system (e.g. IFIS), agent-based bots (e.g. Microsoft Skype, Facebook Messenger), smartphone and augmented reality applications (e.g. smart assistant), and automated web workflows (e.g. IFTTT, CloudWork) to open the knowledge discovery for flooding to thousands of community extensible web workflows.

WE-F-BRB-02: Setting the Stage for Incorporation of Toxicity Measures in Treatment Plan Assessments

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

Mayo, C.

2015-06-15

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

WE-F-BRB-03: Inclusion of Data-Driven Risk Predictions in Radiation Treatment Planning in the Context of a Local Level Learning Health System

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

McNutt, T.

Advancements in informatics in radiotherapy are opening up opportunities to improve our ability to assess treatment plans. Models on individualizing patient dose constraints from prior patient data and shape relationships have been extensively researched and are now making their way into commercial products. New developments in knowledge based treatment planning involve understanding the impact of the radiation dosimetry on the patient. Akin to radiobiology models that have driven intensity modulated radiotherapy optimization, toxicity and outcome predictions based on treatment plans and prior patient experiences may be the next step in knowledge based planning. In order to realize these predictions, itmore » is necessary to understand how the clinical information can be captured, structured and organized with ontologies and databases designed for recall. Large databases containing radiation dosimetry and outcomes present the opportunity to evaluate treatment plans against predictions of toxicity and disease response. Such evaluations can be based on dose volume histogram or even the full 3-dimensional dose distribution and its relation to the critical anatomy. This session will provide an understanding of ontologies and standard terminologies used to capture clinical knowledge into structured databases; How data can be organized and accessed to utilize the knowledge in planning; and examples of research and clinical efforts to incorporate that clinical knowledge into planning for improved care for our patients. Learning Objectives: Understand the role of standard terminologies, ontologies and data organization in oncology Understand methods to capture clinical toxicity and outcomes in a clinical setting Understand opportunities to learn from clinical data and its application to treatment planning Todd McNutt receives funding from Philips, Elekta and Toshiba for some of the work presented.« less

Community health workers' knowledge and practice in relation to pre-eclampsia in Ogun State, Nigeria: an essential bridge to maternal survival.

PubMed

Sotunsa, J O; Vidler, M; Akeju, D O; Osiberu, M O; Orenuga, E O; Oladapo, O T; Qureshi, R; Sawchuck, D; Adetoro, O O; von Dadelszen, P; Dada, O A

2016-09-30

Pre-eclampsia is a leading cause of maternal and fetal morbidity and mortality worldwide. Early detection and treatment have been instrumental in reducing case fatality in high-income countries. To achieve this in a low-income country, like Nigeria, community health workers who man primary health centres must have adequate knowledge and skills to identify and provide emergency care for women with pre-eclampsia. This study aimed to determine community health workers' knowledge and practice in the identification and treatment of pre-eclampsia, as they are essential providers of maternal care services in Nigeria. This study was part of a multi-country evaluation of community treatment of pre-eclampsia. Qualitative data were obtained from four Local Government Areas of Ogun State, in south western Nigeria by focus group discussions (N = 15) and in-depth interviews (N = 19). Participants included a variety of community-based health care providers - traditional birth attendants, community health extension workers, nurses and midwives, chief nursing officers, medical officers - and health administrators. Data were transcribed and validated with field notes and analysed with NVivo 10.0. Community-based health care providers proved to be aware that pre-eclampsia was due to the development of hypertension and proteinuria in pregnant women. They had a good understanding of the features of the condition and were capable of identifying women at risk, initiating care, and referring women with this condition. However, some were not comfortable managing the condition because of the limitation in their 'Standing Order'; these guidelines do not explicitly authorize community health extension workers to treat pre-eclampsia in the community. Community-based health care providers were capable of identifying and initiating appropriate care for women with pre-eclampsia. These competencies combined with training and equipment availability could improve maternal health in the rural areas. There is a need for regular training and retraining to enable successful task-sharing with these cadres. NCT01911494 .

An analysis of learning in an online biology course for teachers and teacher candidates: A mixed methods approach

NASA Astrophysics Data System (ADS)

Lebec, Michael Thomas

Due to discipline specific shortages, web-based learning has been proposed as a convenient way to upgrade the content knowledge of instructors interested in learning to teach science. Despite quantitative evidence that web-based instruction is equivalent to traditional methods, questions remain regarding its use. The efficiency and practicality of this approach with teachers in particular has not been extensively studied. This investigation examines learning in an online biology course designed to help teachers prepare for science certification exams. Research questions concern flow teachers learn biology in the online environment and how this setting influences the learning process. Quantitative and qualitative methodologies are employed in an attempt to provide a more complete perspective than typical studies of online learning. Concept maps, tests, and online discussion transcripts are compared as measures of assimilated knowledge, while interviews reflect participants' views on the course. Findings indicate that participants experienced gains in declarative knowledge, but little improvement with respect to conditional knowledge. Qualitative examination of concept maps demonstrates gaps in participants' understandings of key course ideas. Engagement in the use of online resources varied according to participants' attitudes towards online learning. Subjects also reported a lack of motivation to fully engage in the course due to busy teaching schedules and the absence of accountability.

Secure base representations in middle childhood across two Western cultures: Associations with parental attachment representations and maternal reports of behavior problems.

PubMed

Waters, Theodore E A; Bosmans, Guy; Vandevivere, Eva; Dujardin, Adinda; Waters, Harriet S

2015-08-01

Recent work examining the content and organization of attachment representations suggests that 1 way in which we represent the attachment relationship is in the form of a cognitive script. This work has largely focused on early childhood or adolescence/adulthood, leaving a large gap in our understanding of script-like attachment representations in the middle childhood period. We present 2 studies and provide 3 critical pieces of evidence regarding the presence of a script-like representation of the attachment relationship in middle childhood. We present evidence that a middle childhood attachment script assessment tapped a stable underlying script using samples drawn from 2 western cultures, the United States (Study 1) and Belgium (Study 2). We also found evidence suggestive of the intergenerational transmission of secure base script knowledge (Study 1) and relations between secure base script knowledge and symptoms of psychopathology in middle childhood (Study 2). The results from this investigation represent an important downward extension of the secure base script construct. (c) 2015 APA, all rights reserved).

Secure Base Representations in Middle Childhood Across Two Western Cultures: Associations with Parental Attachment Representations and Maternal Reports of Behavior Problems

PubMed Central

Waters, Theodore E. A.; Bosmans, Guy; Vandevivere, Eva; Dujardin, Adinda; Waters, Harriet S.

2015-01-01

Recent work examining the content and organization of attachment representations suggests that one way in which we represent the attachment relationship is in the form of a cognitive script. That said, this work has largely focused on early childhood or adolescence/adulthood, leaving a large gap in our understanding of script-like attachment representations in the middle childhood period. We present two studies and provide three critical pieces of evidence regarding the presence of a script-like representation of the attachment relationship in middle childhood. We present evidence that a middle childhood attachment script assessment tapped a stable underlying script using samples drawn from two western cultures, the United States (Study 1) and Belgium (Study 2). We also found evidence suggestive of the intergenerational transmission of secure base script knowledge (Study 1) and relations between secure base script knowledge and symptoms of psychopathology in middle childhood (Study 2). The results from this investigation represent an important downward extension of the secure base script construct. PMID:26147774

Surfer: An Extensible Pull-Based Framework for Resource Selection and Ranking

NASA Technical Reports Server (NTRS)

Zolano, Paul Z.

2004-01-01

Grid computing aims to connect large numbers of geographically and organizationally distributed resources to increase computational power; resource utilization, and resource accessibility. In order to effectively utilize grids, users need to be connected to the best available resources at any given time. As grids are in constant flux, users cannot be expected to keep up with the configuration and status of the grid, thus they must be provided with automatic resource brokering for selecting and ranking resources meeting constraints and preferences they specify. This paper presents a new OGSI-compliant resource selection and ranking framework called Surfer that has been implemented as part of NASA's Information Power Grid (IPG) project. Surfer is highly extensible and may be integrated into any grid environment by adding information providers knowledgeable about that environment.

Light Signaling in Bud Outgrowth and Branching in Plants

PubMed Central

Leduc, Nathalie; Roman, Hanaé; Barbier, François; Péron, Thomas; Huché-Thélier, Lydie; Lothier, Jérémy; Demotes-Mainard, Sabine; Sakr, Soulaiman

2014-01-01

Branching determines the final shape of plants, which influences adaptation, survival and the visual quality of many species. It is an intricate process that includes bud outgrowth and shoot extension, and these in turn respond to environmental cues and light conditions. Light is a powerful environmental factor that impacts multiple processes throughout plant life. The molecular basis of the perception and transduction of the light signal within buds is poorly understood and undoubtedly requires to be further unravelled. This review is based on current knowledge on bud outgrowth-related mechanisms and light-mediated regulation of many physiological processes. It provides an extensive, though not exhaustive, overview of the findings related to this field. In parallel, it points to issues to be addressed in the near future. PMID:27135502

The SWAN Scientific Discourse Ontology

PubMed Central

Ciccarese, Paolo; Wu, Elizabeth; Kinoshita, June; Wong, Gwendolyn T.; Ocana, Marco; Ruttenberg, Alan

2015-01-01

SWAN (Semantic Web Application in Neuromedicine) is a project to construct a semantically-organized, community-curated, distributed knowledge base of Theory, Evidence, and Discussion in biomedicine. Unlike Wikipedia and similar approaches, SWAN’s ontology is designed to represent and foreground both harmonizing and contradictory assertions within the total community discourse. Releases of the software, content and ontology will be initially by and for the Alzheimer Disease (AD) research community, with the obvious potential for extension into other disease research areas. The Alzheimer Research Forum, a 4,000-member web community for AD researchers, will host SWAN’s initial public release, currently scheduled for late 2007. This paper presents the current version of SWAN’s ontology of scientific discourse and presents our current thinking about its evolution including extensions and alignment with related communities, projects and ontologies. PMID:18583197

Developing disease resistant stone fruits

USDA-ARS?s Scientific Manuscript database

Stone fruit (Prunus spp.) (peach, nectarine, plum, apricot, cherry) and almonds are susceptible to a number of pathogens. These pathogens can cause extensive losses in the field, during transport and storage, and in the market. Breeding for disease resistance requires an extensive knowledge of the...

75 FR 51986 - Agency Information Collection Extension; Correction

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-24

... questionnaires to collect information on the respondents' knowledge of solar energy and energy efficiency and on installations of solar-energy and energy-efficiency equipment with which the respondents have been personally... DEPARTMENT OF ENERGY Agency Information Collection Extension; Correction AGENCY: U.S. Department...

Analytical Tools Interface for Landscape Assessments (ATtILA) for landscape metrics

EPA Pesticide Factsheets

ATtILA is easy to use ArcView extension that calculates many commonly used landscape metrics. By providing an intuitive interface, the extension provides the ability to generate landscape metrics to a wide audience regardless of their GIS knowledge level.

Commerce, Research and Education: Contributions and Challenges of Marine Extension Work in NOAA Sea Grant Program-Puerto Rico, Michigan and National office

NASA Astrophysics Data System (ADS)

Aleman Diaz, A.

2006-12-01

The National Sea Grant program represents NOAA's nationwide university-based program in support of coastal resource use and conservation. This program is composed of 30 university-based programs that work with local coastal communities. This study focuses on a historical and multi-sited ethnographic approach that analyzes two Sea Grant Programs and their connection to the overarching NOAA national goals from 1980- 2000.The project aims to offer insight on how the extension agent position facilitates the resolution of coastal and marine management and tourism issues. The extension agents are staff who have an extensive knowledge of available coastal resources and have the role of translating this information to coastal stakeholders. Additionally, these agents assess the needs of coastal communities and report back to the program making their role into a position that can effectively alter and/or contribute to institutional and environmental management programs at broader, cross-country and global levels. The extension programs in Michigan and Puerto Rico were examined to understand how local programs respond to cultural and regional processes shaping marine extension and the management of issues faced by coastal stakeholders. A total of 36 semi- structured in-depth interviews were completed at each site, to address the following questions: (1) How do extension agents view their role at the Puerto Rico and Michigan offices and in the Sea Grant program? How do they view the conditions of their work? (2) How do their views compare to the accomplishments by each Sea Grant administration and internal inquiries? How do their views reveal conditions documented in Puerto Rico and Michigan (e.g., social, cultural, political, economic, etc)? (3) What kind of strategies do agents develop for the management of specific coastal and tourism related projects? (4) How do the Puerto Rico and Michigan offices coordinate their work, and collaborate with other "college" programs and with the National office? Although differences based on organizational structure were evident, there were similarities regarding the marine extension work history, practices, and challenges among these local programs. Preliminary findings suggests that current challenges for Sea Grant marine extension include maintenance of non- advocacy and mediation roles among coastal stakeholders, their positioning relative to research especially conducting and delivering of science to public, and development of their multi-faceted skills sets essential to extension. Simultaneously, the Sea Grant program and marine extension agents provide comprehensive ways for integrated resource management like avenues for dialogue and information-technology transfer with bottom up approaches.

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

Goldsmith, Steven Y.; Spires, Shannon V.

There are currently two proposed standards for agent communication languages, namely, KQML (Finin, Lobrou, and Mayfield 1994) and the FIPA ACL. Neither standard has yet achieved primacy, and neither has been evaluated extensively in an open environment such as the Internet. It seems prudent therefore to design a general-purpose agent communications facility for new agent architectures that is flexible yet provides an architecture that accepts many different specializations. In this paper we exhibit the salient features of an agent communications architecture based on distributed metaobjects. This architecture captures design commitments at a metaobject level, leaving the base-level design and implementationmore » up to the agent developer. The scope of the metamodel is broad enough to accommodate many different communication protocols, interaction protocols, and knowledge sharing regimes through extensions to the metaobject framework. We conclude that with a powerful distributed object substrate that supports metaobject communications, a general framework can be developed that will effectively enable different approaches to agent communications in the same agent system. We have implemented a KQML-based communications protocol and have several special-purpose interaction protocols under development.« less

Challenging Orthodoxy in School Leadership Studies: Knowers, Knowing and Knowledge?

ERIC Educational Resources Information Center

Gunter, Helen; Ribbins, Peter

2003-01-01

Proposes and extensively discusses six topologies to help understand the who, what, where, and why of knowledge production (research) in school leadership: producers, positions, provinces, practices, processes, and perspectives. (Contains 6 tables and 60 references.) (PKP)

Why Content Is King

ERIC Educational Resources Information Center

Hirsch, E. D., Jr.; Hansel, Lisa

2013-01-01

"If you want to be able to read with comprehension, you must become knowledgeable about the topic. The more relevant knowledge you have, the less it matters whether the text is complex or not," write Hirsch and Hansel in this article. Research has shown that a student who has extensive background knowledge of a topic will find it easy to…

Understanding the Knowledge and Use of Experiential Learning within Pennsylvania 4-H Clubs

ERIC Educational Resources Information Center

Bechtel, Robyn; Ewing, John C.; Threeton, Mark; Mincemoyer, Claudia

2013-01-01

Experiential learning is incorporated into the National 4-H curriculum. However, the state 4-H staff in Pennsylvania is unsure of the current knowledge and use of experiential learning within the local 4-H clubs. An online survey was distributed to Extension educators and volunteer leaders within Pennsylvania to assess the current knowledge and…

Knowledge-Based Extensible Natural Language Interface Technology Program

DTIC Science & Technology

1989-11-30

natural language as its own meta-language to explain the meaning and attributes of the words and idioms of the larguage. Educational courses in language...understood and used by Lydia for human-computer dialogue. The KL enables a systems developer or " teacher -user" to build the system to a point where new...language can be "formal" as in a structured educational language program or it can be "informal" as in the case of a person consulting a dictionary for the

GRAMM-X public web server for protein–protein docking

PubMed Central

Tovchigrechko, Andrey; Vakser, Ilya A.

2006-01-01

Protein docking software GRAMM-X and its web interface () extend the original GRAMM Fast Fourier Transformation methodology by employing smoothed potentials, refinement stage, and knowledge-based scoring. The web server frees users from complex installation of database-dependent parallel software and maintaining large hardware resources needed for protein docking simulations. Docking problems submitted to GRAMM-X server are processed by a 320 processor Linux cluster. The server was extensively tested by benchmarking, several months of public use, and participation in the CAPRI server track. PMID:16845016

Terrorism 101 - Knowledge about the What and Why of Terrorism as a State and Local Law Enforcement Competency

DTIC Science & Technology

2008-09-01

Zimbardo, “How Social Science can Reduce Terrorism,” The Chronicle of Higher Education (2004), http://www.socialpsychology.org/ pdf /chronicle04. pdf ...the children of Satan ; believers must prepare for the second coming of Yahweh by taking action “Religious” is one of five “motivations...Christian Identity Groups – Christian Bible is used to justify reasons behind beliefs • U.S. Constitution is extension of Bible • Philosophy is based

A multiple-objective optimal exploration strategy

USGS Publications Warehouse

Christakos, G.; Olea, R.A.

1988-01-01

Exploration for natural resources is accomplished through partial sampling of extensive domains. Such imperfect knowledge is subject to sampling error. Complex systems of equations resulting from modelling based on the theory of correlated random fields are reduced to simple analytical expressions providing global indices of estimation variance. The indices are utilized by multiple objective decision criteria to find the best sampling strategies. The approach is not limited by geometric nature of the sampling, covers a wide range in spatial continuity and leads to a step-by-step procedure. ?? 1988.

Productive extension of semantic memory in school-aged children: Relations with reading comprehension and deployment of cognitive resources.

PubMed

Bauer, Patricia J; Blue, Shala N; Xu, Aoxiang; Esposito, Alena G

2016-07-01

We investigated 7- to 10-year-old children's productive extension of semantic memory through self-generation of new factual knowledge derived through integration of separate yet related facts learned through instruction or through reading. In Experiment 1, an experimenter read the to-be-integrated facts. Children successfully learned and integrated the information and used it to further extend their semantic knowledge, as evidenced by high levels of correct responses in open-ended and forced-choice testing. In Experiment 2, on half of the trials, the to-be-integrated facts were read by an experimenter (as in Experiment 1) and on half of the trials, children read the facts themselves. Self-generation performance was high in both conditions (experimenter- and self-read); in both conditions, self-generation of new semantic knowledge was related to an independent measure of children's reading comprehension. In Experiment 3, the way children deployed cognitive resources during reading was predictive of their subsequent recall of newly learned information derived through integration. These findings indicate self-generation of new semantic knowledge through integration in school-age children as well as relations between this productive means of extension of semantic memory and cognitive processes engaged during reading. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Productive Extension of Semantic Memory in School-aged Children: Relations with Reading Comprehension and Deployment of Cognitive Resources

PubMed Central

Bauer, Patricia J.; Blue, Shala N.; Xu, Aoxiang; Esposito, Alena G.

2016-01-01

We investigated 7- to 10-year-old children’s productive extension of semantic memory through self-generation of new factual knowledge derived through integration of separate yet related facts learned through instruction or through reading. In Experiment 1, an experimenter read the to-be-integrated facts. Children successfully learned and integrated the information and used it to further extend their semantic knowledge, as evidenced by high levels of correct responses in open-ended and forced-choice testing. In Experiment 2, on half of the trials, the to-be-integrated facts were read by an experimenter (as in Experiment 1) and on half of the trials, children read the facts themselves. Self-generation performance was high in both conditions (experimenter- and self-read); in both conditions, self-generation of new semantic knowledge was related to an independent measure of children’s reading comprehension. In Experiment 3, the way children deployed cognitive resources during reading was predictive of their subsequent recall of newly learned information derived through integration. These findings indicate self-generation of new semantic knowledge through integration in school-age children as well as relations between this productive means of extension of semantic memory and cognitive processes engaged during reading. PMID:27253263

Representing sentence information

NASA Astrophysics Data System (ADS)

Perkins, Walton A., III

1991-03-01

This paper describes a computer-oriented representation for sentence information. Whereas many Artificial Intelligence (AI) natural language systems start with a syntactic parse of a sentence into the linguist's components: noun, verb, adjective, preposition, etc., we argue that it is better to parse the input sentence into 'meaning' components: attribute, attribute value, object class, object instance, and relation. AI systems need a representation that will allow rapid storage and retrieval of information and convenient reasoning with that information. The attribute-of-object representation has proven useful for handling information in relational databases (which are well known for their efficiency in storage and retrieval) and for reasoning in knowledge- based systems. On the other hand, the linguist's syntactic representation of the works in sentences has not been shown to be useful for information handling and reasoning. We think it is an unnecessary and misleading intermediate form. Our sentence representation is semantic based in terms of attribute, attribute value, object class, object instance, and relation. Every sentence is segmented into one or more components with the form: 'attribute' of 'object' 'relation' 'attribute value'. Using only one format for all information gives the system simplicity and good performance as a RISC architecture does for hardware. The attribute-of-object representation is not new; it is used extensively in relational databases and knowledge-based systems. However, we will show that it can be used as a meaning representation for natural language sentences with minor extensions. In this paper we describe how a computer system can parse English sentences into this representation and generate English sentences from this representation. Much of this has been tested with computer implementation.

Medical and Transmission Vector Vocabulary Alignment with Schema.org

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

Smith, William P.; Chappell, Alan R.; Corley, Courtney D.

Available biomedical ontologies and knowledge bases currently lack formal and standards-based interconnections between disease, disease vector, and drug treatment vocabularies. The PNNL Medical Linked Dataset (PNNL-MLD) addresses this gap. This paper describes the PNNL-MLD, which provides a unified vocabulary and dataset of drug, disease, side effect, and vector transmission background information. Currently, the PNNL-MLD combines and curates data from the following research projects: DrugBank, DailyMed, Diseasome, DisGeNet, Wikipedia Infobox, Sider, and PharmGKB. The main outcomes of this effort are a dataset aligned to Schema.org, including a parsing framework, and extensible hooks ready for integration with selected medical ontologies. The PNNL-MLDmore » enables researchers more quickly and easily to query distinct datasets. Future extensions to the PNNL-MLD will include Traditional Chinese Medicine, broader interlinks across genetic structures, a larger thesaurus of synonyms and hypernyms, explicit coding of diseases and drugs across research systems, and incorporating vector-borne transmission vocabularies.« less

Knowledge and Attitude about Stem Cells and Their Application in Medicine among Nursing Students in Universiti Sains Malaysia, Malaysia

PubMed Central

LYE, Jee Leng; SOON, Lean Keng; WAN AHMAD, Wan Amir Nizam; TAN, Suat Cheng

2015-01-01

Background: Stem cell research has been extensively explored worldwide to enhance human health in medical setting. Nevertheless, there is currently no full understanding of the stem cell knowledge and attitude levels among student nurses in Malaysia. This study aimed to assess the level of stem cell knowledge, attitude toward stem cell application in medicine, and its association with years of education, among Universiti Sains Malaysia (USM) undergraduate nursing students. Methods: A cross-sectional study (n = 88) was conducted using self-administered questionnaire consisted of demographic information, stem cells knowledge and attitude statements. Data was analysed using Statistical Package Social Software 20.0. Results: The majority of participants (92%) had moderate knowledge score about stem cells. Many students (33%) worried that stem cell application might cause a harm to humanity yet had a positive (76.1%) attitude towards its therapeutic potential (45.5%). Poor correlation between knowledge and attitude (r = 0.08) indicated that acceptance towards stem cell is not solely based on the knowledge level but also on other factors including religion and culture. Conclusion: Therefore, this study suggests that various educational programs on stem cell should be implemented considering the religion, cultural, social, and behavioural determinants in the population to improve stem cell knowledge and encourage a more positive attitude towards stem cells in medicine among these nursing students. PMID:26715905

Knowledge and Attitude about Stem Cells and Their Application in Medicine among Nursing Students in Universiti Sains Malaysia, Malaysia.

PubMed

Lye, Jee Leng; Soon, Lean Keng; Wan Ahmad, Wan Amir Nizam; Tan, Suat Cheng

2015-01-01

Stem cell research has been extensively explored worldwide to enhance human health in medical setting. Nevertheless, there is currently no full understanding of the stem cell knowledge and attitude levels among student nurses in Malaysia. This study aimed to assess the level of stem cell knowledge, attitude toward stem cell application in medicine, and its association with years of education, among Universiti Sains Malaysia (USM) undergraduate nursing students. A cross-sectional study (n = 88) was conducted using self-administered questionnaire consisted of demographic information, stem cells knowledge and attitude statements. Data was analysed using Statistical Package Social Software 20.0. The majority of participants (92%) had moderate knowledge score about stem cells. Many students (33%) worried that stem cell application might cause a harm to humanity yet had a positive (76.1%) attitude towards its therapeutic potential (45.5%). Poor correlation between knowledge and attitude (r = 0.08) indicated that acceptance towards stem cell is not solely based on the knowledge level but also on other factors including religion and culture. Therefore, this study suggests that various educational programs on stem cell should be implemented considering the religion, cultural, social, and behavioural determinants in the population to improve stem cell knowledge and encourage a more positive attitude towards stem cells in medicine among these nursing students.

Fun During Knee Rehabilitation: Feasibility and Acceptability Testing of a New Android-Based Training Device.

PubMed

Weber-Spickschen, Thomas Sanjay; Colcuc, Christian; Hanke, Alexander; Clausen, Jan-Dierk; James, Paul Abraham; Horstmann, Hauke

2017-01-01

The initial goals of rehabilitation after knee injuries and operations are to achieve full knee extension and to activate quadriceps muscle. In addition to regular physiotherapy, an android-based knee training device is designed to help patients achieve these goals and improve compliance in the early rehabilitation period. This knee training device combines fun in a computer game with muscular training or rehabilitation. Our aim was to test the feasibility and acceptability of this new device. 50 volunteered subjects enrolled to test out the computer game aided device. The first game was the high-striker game, which recorded maximum knee extension power. The second game involved controlling quadriceps muscular power to simulate flying an aeroplane in order to record accuracy of muscle activation. The subjects evaluated this game by completing a simple questionnaire. No technical problem was encountered during the usage of this device. No subjects complained of any discomfort after using this device. Measurements including maximum knee extension power, knee muscle activation and control were recorded successfully. Subjects rated their experience with the device as either excellent or very good and agreed that the device can motivate and monitor the progress of knee rehabilitation training. To the best of our knowledge, this is the first android-based tool available to fast track knee rehabilitation training. All subjects gave very positive feedback to this computer game aided knee device.

Neonatal Death Dwarfism in a Girl with Distinctive Bone Dysplasia Compatible with Grebe Chondrodysplasia: Analysis by CT Scan-based Phenotype.

PubMed

Al Kaissi, Ali; Chehida, Farid Ben; Ganger, Rudolf; Grill, Franz

2014-01-01

We report on a female fetus noted to have severe malformative type of skeletal dysplasia on ultrasonography done at 35 weeks gestation. The girl died shortly after birth. Clinical examination showed a fetus with severe dwarfism, extensive long and short bones, and bone deficiencies associated with multiple dislocations. Computed tomography (CT) scan-based phenotype showed a complex constellation of malformations consistent with the diagnosis of Grebe syndrome. Parents being first cousins (consanguineous marriage) strongly suggests autosomal recessive pattern of inheritance. To our knowledge, this is the first report of neonatal death dwarfism of Grebe syndrome analyzed by CT scan-based phenotype.

Emergency Exercise Participation and Evaluation

ERIC Educational Resources Information Center

Smith, Julie; Black, Lynette; Williams, Linda

2012-01-01

Extension is uniquely positioned to participate in emergency exercises, formally or informally, with the goal of engaging community members in emergency and disaster preparedness. With their knowledge of community needs, Extension personnel are valuable resources and can assist emergency managers in the process of identifying local risks and…

Different Argentine Rural Extensionists' Mindsets and Their Practical Implications

ERIC Educational Resources Information Center

Landini, Fernando

2015-01-01

Purpose: This paper reflects upon the practice of Argentine rural extensionists working in the extension public system through the process of identifying different rural extensionists' types of mindsets and comparing them with transfer of technology extension approach, dialogical processes of horizontal knowledge exchange, participatory…

Zoonotic importance of canine scabies and dermatophytosis in relation to knowledge level of dog owners.

PubMed

Raval, Heli S; Nayak, J B; Patel, B M; Bhadesiya, C M

2015-06-01

The present study was undertaken to understand the zoonotic importance of canine scabies and dermatophytosis with special reference to the knowledge level of dog owners in urban areas of Gujarat. The study was carried out in randomly selected 120 dog owners of 3 urban cities (viz., Ahmedabad, Anand and Vadodara) of Gujarat state, India. Dog owners (i.e., respondents) were subjected to a detailed interview regarding the zoonotic importance of canine scabies and dermatophytosis in dogs. Ex-post-facto research design was selected because of the independent variables of the selected respondent population for the study. The crucial method used in collecting data was a field survey to generate null hypothesis (Ho1). Available data was subjected to statistical analysis. The three independent variables, viz., extension contact (r=0.522**), mass-media exposure (r=0.205*) and management orientation (r=0.264**) had significant relationship with knowledge of dog owners about zoonotic diseases. Other independent variables, viz., education, experience in dog keeping and housing space were observed to have negative and non-significant relationship with knowledge of dog owners about zoonotic diseases. Extension contact, exposure to extension mass-media, management orientation and innovation proneness among dog owners of 3 urban cities of Gujarat state had significant relationship with knowledge of dog owners on zoonotic aspects of canine scabies and dermatophytosis. Data provided new insights on the present status of zoonotic disease-awareness, which would be an aid to plan preventive measures.

PRISMA-Children (C) and PRISMA-Protocol for Children (P-C) Extensions: a study protocol for the development of guidelines for the conduct and reporting of systematic reviews and meta-analyses of newborn and child health research.

PubMed

Kapadia, Mufiza Z; Askie, Lisa; Hartling, Lisa; Contopoulos-Ioannidis, Despina; Bhutta, Zulfiqar A; Soll, Roger; Moher, David; Offringa, Martin

2016-04-18

Paediatric systematic reviews differ from adult systematic reviews in several key aspects such as considerations of child tailored interventions, justifiable comparators, valid outcomes and child sensitive search strategies. Available guidelines, including PRISMA-P (2015) and PRISMA (2009), do not cover all the complexities associated with reporting systematic reviews in the paediatric population. Using a collaborative, multidisciplinary structure, we aim to develop evidence-based and consensus-based PRISMA-P-C (Protocol for Children) and PRISMA-C (Children) Extensions to guide paediatric systematic review protocol and completed review reporting. This project's methodology follows published recommendations for developing reporting guidelines and involves the following six phases; (1) establishment of a steering committee representing key stakeholder groups; (2) a scoping review to identify potential Extension items; (3) three types of consensus activities including meetings of the steering committee to achieve high-level decisions on the content and methodology of the Extensions, a survey of key stakeholders to generate a list of possible items to include in the Extensions and a formal consensus meeting to select the reporting items to add to, or modify for, the Extension; (4) the preliminary checklist items generated in phase III will be evaluated against the existing evidence and reporting practices in paediatric systematic reviews; (5) extension statements and explanation and elaboration documents will provide detailed advice for each item and examples of good reporting; (6) development and implementation of effective knowledge translation of the extension checklist, and an evaluation of the Extensions by key stakeholders. This protocol was considered a quality improvement project by the Hospital for Sick Children's Ethics Committee and did not require ethical review. The resultant checklists, jointly developed with all relevant stakeholders, will be disseminated through peer-reviewed journals as well as national and international conference presentations. Endorsement of the checklist will be sought simultaneously in multiple journals. 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/

PRISMA-Children (C) and PRISMA-Protocol for Children (P-C) Extensions: a study protocol for the development of guidelines for the conduct and reporting of systematic reviews and meta-analyses of newborn and child health research

PubMed Central

Kapadia, Mufiza Z; Askie, Lisa; Hartling, Lisa; Contopoulos-Ioannidis, Despina; Bhutta, Zulfiqar A; Soll, Roger; Moher, David; Offringa, Martin

2016-01-01

Introduction Paediatric systematic reviews differ from adult systematic reviews in several key aspects such as considerations of child tailored interventions, justifiable comparators, valid outcomes and child sensitive search strategies. Available guidelines, including PRISMA-P (2015) and PRISMA (2009), do not cover all the complexities associated with reporting systematic reviews in the paediatric population. Using a collaborative, multidisciplinary structure, we aim to develop evidence-based and consensus-based PRISMA-P-C (Protocol for Children) and PRISMA-C (Children) Extensions to guide paediatric systematic review protocol and completed review reporting. Methods and analysis This project's methodology follows published recommendations for developing reporting guidelines and involves the following six phases; (1) establishment of a steering committee representing key stakeholder groups; (2) a scoping review to identify potential Extension items; (3) three types of consensus activities including meetings of the steering committee to achieve high-level decisions on the content and methodology of the Extensions, a survey of key stakeholders to generate a list of possible items to include in the Extensions and a formal consensus meeting to select the reporting items to add to, or modify for, the Extension; (4) the preliminary checklist items generated in phase III will be evaluated against the existing evidence and reporting practices in paediatric systematic reviews; (5) extension statements and explanation and elaboration documents will provide detailed advice for each item and examples of good reporting; (6) development and implementation of effective knowledge translation of the extension checklist, and an evaluation of the Extensions by key stakeholders. Ethics and Dissemination This protocol was considered a quality improvement project by the Hospital for Sick Children's Ethics Committee and did not require ethical review. The resultant checklists, jointly developed with all relevant stakeholders, will be disseminated through peer-reviewed journals as well as national and international conference presentations. Endorsement of the checklist will be sought simultaneously in multiple journals. PMID:27091820

Use of the EMPOWER brochure to deprescribe sedative-hypnotic drugs in older adults with mild cognitive impairment.

PubMed

Martin, Philippe; Tannenbaum, Cara

2017-01-31

Evidence-based mailed educational brochures about the harms of sedative-hypnotic use lead to discontinuation of chronic benzodiazepine use in older adults. It remains unknown whether patients with mild cognitive impairment (MCI) are able to understand the information in the EMPOWER brochures, and whether they achieve similar rates of benzodiazepine discontinuation. Post-hoc analysis of the EMPOWER randomized, double-blind, wait-list controlled trial that assessed the effect of a direct-to-consumer educational intervention on benzodiazepine discontinuation. 303 community-dwelling chronic users of benzodiazepine medication aged 65-95 years were recruited from general community pharmacies in the original trial, 261 (86%) of which completed the trial extension phase. All participants of the control arm received the EMPOWER brochure during the trial extension. Normal cognition (n = 139) or MCI (n = 122) was determined during baseline cognitive testing using the Montreal Cognitive Assessment questionnaire. Changes in knowledge pre- and post-intervention were assessed with a knowledge questionnaire and changes in beliefs were calculated using the Beliefs about Medicines Questionnaire. Logistic regression was used to compare knowledge gained, change in beliefs and benzodiazepine cessation rates between participants with and without MCI. Complete discontinuation of benzodiazepines was achieved in 39 (32.0% [24.4,40.7]) participants with MCI and in 53 (38.1% [30.5,46.4]) with normal cognition (adjusted OR 0.79, 95% CI [0.45-1.38]). Compared to individuals with normal cognition, MCI had no effect on the acquisition of new knowledge, change in beliefs about benzodiazepines or elicitation of cognitive dissonance. The EMPOWER brochure is effective for reducing benzodiazepines in community-dwelling older adults with mild cognitive impairment. Our ClinicalTrials.gov identifier is NCT01148186 , June 21 st 2010.

Social knowledge and signals in primates.

PubMed

Bergman, Thore J; Sheehan, Michael J

2013-07-01

Primates are notable for having a rich and detailed understanding of their social environment and there has been great interest in the evolution and function of social knowledge in primates. Indeed, primates have been shown to have impressive understandings of not only other group members but also the complex relationships among them. To be useful, however, social knowledge requires memories from previous encounters and observations about individual traits that are stable. Here, we argue that social systems or traits that make social knowledge more costly or less accurate will favor signals that either supplement or replace social knowledge. Thus, the relationship between signals and social knowledge can be complementary or antagonistic depending on the type of signal. Our goal in this review is to elucidate the relationships between signals and social knowledge in primates. We categorize signals into three types, each with different relationships to social knowledge. (1) Identity signals directly facilitate social knowledge, (2) current-state signals supplement information gained through social knowledge, and (3) badges of status replace social knowledge. Primates rely extensively on identity information, but it remains to be determined to what extent this is based on receiver perception of individual variation or senders using identity signals. Primates frequently utilize current-state signals including signals of intent to augment their interactions with familiar individuals. Badges of status are rare in primates, and the cases where they are used point to a functional and evolutionary trade-off between badges of status and social knowledge. However, the nature of this relationship needs further exploration. © 2012 Wiley Periodicals, Inc.

Undergraduate Nursing Students' Understandings of Mental Health: A Review of the Literature.

PubMed

Barry, Sinead; Ward, Louise

2017-02-01

The purpose of this literature review was to identify research and current literature surrounding nursing students' understandings of mental health. The aim is to share findings from an extensive international and national literature review exploring undergraduate nurse education specific to mental health content. Data were collected utilising a comprehensive search of electronic databases including CINAHL (EBSCO), MEDLINE, and PsycINFO 1987-(Ovid) from 2008 to 2016. The initial search terms were altered to include undergraduate, mental health, nursing, education, experience, and knowledge. Three content themes emerged which included: 1. Undergraduate nursing students' knowledge has been considered compromised due to concerns relating to the variation and inconsistencies within the comprehensive nursing curriculums representation of mental health, 2. Undergraduate nursing students knowledge of mental health is thought to be compromised due to the quality of mental health theoretical and experiential learning opportunities, and 3. Research indicates that nursing students' knowledge of mental health was influenced by their experience of undertaking mental health content. Based on these findings greater consideration of students' understandings of mental health is required.

Critical appraisal of scientific articles: part 1 of a series on evaluation of scientific publications.

PubMed

du Prel, Jean-Baptist; Röhrig, Bernd; Blettner, Maria

2009-02-01

In the era of evidence-based medicine, one of the most important skills a physician needs is the ability to analyze scientific literature critically. This is necessary to keep medical knowledge up to date and to ensure optimal patient care. The aim of this paper is to present an accessible introduction into critical appraisal of scientific articles. Using a selection of international literature, the reader is introduced to the principles of critical reading of scientific articles in medicine. For the sake of conciseness, detailed description of statistical methods is omitted. Widely accepted principles for critically appraising scientific articles are outlined. Basic knowledge of study design, structuring of an article, the role of different sections, of statistical presentations as well as sources of error and limitation are presented. The reader does not require extensive methodological knowledge. As far as necessary for critical appraisal of scientific articles, differences in research areas like epidemiology, clinical, and basic research are outlined. Further useful references are presented. Basic methodological knowledge is required to select and interpret scientific articles correctly.

Visual tracking using objectness-bounding box regression and correlation filters

NASA Astrophysics Data System (ADS)

Mbelwa, Jimmy T.; Zhao, Qingjie; Lu, Yao; Wang, Fasheng; Mbise, Mercy

2018-03-01

Visual tracking is a fundamental problem in computer vision with extensive application domains in surveillance and intelligent systems. Recently, correlation filter-based tracking methods have shown a great achievement in terms of robustness, accuracy, and speed. However, such methods have a problem of dealing with fast motion (FM), motion blur (MB), illumination variation (IV), and drifting caused by occlusion (OCC). To solve this problem, a tracking method that integrates objectness-bounding box regression (O-BBR) model and a scheme based on kernelized correlation filter (KCF) is proposed. The scheme based on KCF is used to improve the tracking performance of FM and MB. For handling drift problem caused by OCC and IV, we propose objectness proposals trained in bounding box regression as prior knowledge to provide candidates and background suppression. Finally, scheme KCF as a base tracker and O-BBR are fused to obtain a state of a target object. Extensive experimental comparisons of the developed tracking method with other state-of-the-art trackers are performed on some of the challenging video sequences. Experimental comparison results show that our proposed tracking method outperforms other state-of-the-art tracking methods in terms of effectiveness, accuracy, and robustness.

Strengthening population health interventions: developing the CollaboraKTion Framework for Community-Based Knowledge Translation.

PubMed

Jenkins, Emily K; Kothari, Anita; Bungay, Vicky; Johnson, Joy L; Oliffe, John L

2016-08-30

Much of the research and theorising in the knowledge translation (KT) field has focused on clinical settings, providing little guidance to those working in community settings. In this study, we build on previous research in community-based KT by detailing the theory driven and empirically-informed CollaboraKTion framework. A case study design and ethnographic methods were utilised to gain an in-depth understanding of the processes for conducting a community-based KT study as a means to distilling the CollaboraKTion framework. Drawing on extensive field notes describing fieldwork observations and interactions as well as evidence from the participatory research and KT literature, we detail the processes and steps undertaken in this community-based KT study as well as their rationale and the challenges encountered. In an effort to build upon existing knowledge, Kitson and colleagues' co-KT framework, which provides guidance for conducting KT aimed at addressing population-level health, was applied as a coding structure to inform the current analysis. This approach was selected because it (1) supported the application of an existing community-based KT framework to empirical data and (2) provided an opportunity to contribute to the theory and practice gaps in the community-based KT literature through an inductively derived empirical example. Analysis revealed that community-based KT is an iterative process that can be viewed as comprising five overarching processes: (1) contacting and connecting; (2) deepening understandings; (3) adapting and applying the knowledge base; (4) supporting and evaluating continued action; and (5) transitioning and embedding as well as several key elements within each of these processes (e.g. building on existing knowledge, establishing partnerships). These empirically informed theory advancements in KT and participatory research traditions are summarised in the CollaboraKTion framework. We suggest that community-based KT researchers place less emphasis on enhancing uptake of specific interventions and focus on collaboratively identifying and creating changes to the contextual factors that influence health outcomes. The CollaboraKTion framework can be used to guide the development, implementation and evaluation of contextually relevant, evidence-informed initiatives aimed at improving population health, amid providing a foundation to leverage future research and practice in this emergent KT area.

Towards Linked Open Services and Processes

NASA Astrophysics Data System (ADS)

Krummenacher, Reto; Norton, Barry; Marte, Adrian

The combination of semantic technology and Web services in form of 'Semantic Web Services' has until now been oriented towards extension of the WS-* stack with ontology-based descriptions. The same time, there is a strong movement away from this stack - for which the 'Web' part is little more than branding - towards RESTful services. The Linked Open Data initiative is a keen adopter of this approach and exposes many datasets via SPARQL endpoints and RESTful services. Our developing approach of 'Linked Open Services', whose current state is described in this paper, accommodates such Linked Data endpoints and general RESTful services alongside WS-* stack-based services with descriptions based on RDF and SPARQL. This capitalises on the Linked Data Cloud and makes service description and comprehension more easy and direct to the growing Linked Data community. Along the way, we show how the existing link between service messaging and the semantic viewpoint, commonly called 'lifting and lowering', is usually unduly restricted to ontology-based classification and misses how the effect of a service contributes to the knowledge of its consumer. Our SPARQL-based approach helps also in the composition of services as knowledge-centric processes, and encourages the development and exposure of services that communicate RDF.

Knowledge Gaps of the Health Benefits of Beans among Low-Income Women.

PubMed

Palmer, Shelly M; Winham, Donna M; Hradek, Christine

2018-01-01

We determined knowledge of the health benefits of consuming beans, and assessed if awareness varied by acculturation status among Hispanic and non-Hispanic low-income women. We used a self-administered survey with Iowa women aged 18-65 years who were eligible to receive income-based services through 2 healthcare clinics, a WIC clinic, and Extension Outreach. Chi-square and ANOVA were used to compare bean health benefit knowledge, demographics, health-risk factors, nutrition information seeking, and self-efficacy by acculturation categories. Of the 158 women who completed the survey, 58% were Hispanic, with a mean age of 36 years. In terms of acculturation, 24% were Hispanic-dominant, 30% bicultural, and 46% English dominant. Over 50% of all respondents did not know bean consumption lowered cholesterol, aided blood glucose control, or reduced some cancer risks. Responses for 5 of 7 knowledge statements differed significantly by acculturation. Hispanic-dominant and bicultural women reported significantly better health, higher bean consumption, and less cigarette smoking than English-dominant women. Bicultural and English-dominant women were more likely to use the Internet for nutrition information. There are knowledge gaps about the health benefits of bean consumption among low-income women. Nutrition education to improve their knowledge may lead to increased bean consumption, reducing health disparities and improving nutrition.

The development of a knowledge test of depression and its treatment for patients suffering from non-psychotic depression: a psychometric assessment

PubMed Central

Gabriel, Adel; Violato, Claudio

2009-01-01

Background To develop and psychometrically assess a multiple choice question (MCQ) instrument to test knowledge of depression and its treatments in patients suffering from depression. Methods A total of 63 depressed patients and twelve psychiatric experts participated. Based on empirical evidence from an extensive review, theoretical knowledge and in consultations with experts, 27-item MCQ knowledge of depression and its treatment test was constructed. Data collected from the psychiatry experts were used to assess evidence of content validity for the instrument. Results Cronbach's alpha of the instrument was 0.68, and there was an overall 87.8% agreement (items are highly relevant) between experts about the relevance of the MCQs to test patient knowledge on depression and its treatments. There was an overall satisfactory patients' performance on the MCQs with 78.7% correct answers. Results of an item analysis indicated that most items had adequate difficulties and discriminations. Conclusion There was adequate reliability and evidence for content and convergent validity for the instrument. Future research should employ a lager and more heterogeneous sample from both psychiatrist and community samples, than did the present study. Meanwhile, the present study has resulted in psychometrically tested instruments for measuring knowledge of depression and its treatment of depressed patients. PMID:19754944

Effects of Reading Strategies and Depth of Vocabulary Knowledge on Turkish EFL Learners' Text Inferencing Skills

ERIC Educational Resources Information Center

Çakir, Abdulvahit; Ünaldi, Ihsan; Arslan, Fadime Yalçin; Kiliç, Mehmet

2016-01-01

Within the framework of foreign language teaching and learning, reading strategies, depth of vocabulary knowledge and text inferencing skills have not been researched extensively. This study tries to fill this gap by analyzing the effects of reading strategies used by Turkish EFL learners and their depth of vocabulary knowledge on their text…

Promoting Student Teachers' Content Related Knowledge in Teaching Systems Thinking: Measuring Effects of an Intervention through Evaluating a Videotaped Lesson

ERIC Educational Resources Information Center

Rosenkränzer, Frank; Kramer, Tim; Hörsch, Christian; Schuler, Stephan; Rieß, Werner

2016-01-01

The understanding of complex, dynamic and animate systems has a special standing in education for sustainable development and biology. Thus one important role of science teacher education is to promote student teachers' Content Related Knowledge (CRK) for teaching systems thinking, consisting of extensive Content Knowledge (CK) and well formed…

LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition.

PubMed

Katić, Darko; Julliard, Chantal; Wekerle, Anna-Laura; Kenngott, Hannes; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie; Jannin, Pierre; Gibaud, Bernard

2015-09-01

The rise of intraoperative information threatens to outpace our abilities to process it. Context-aware systems, filtering information to automatically adapt to the current needs of the surgeon, are necessary to fully profit from computerized surgery. To attain context awareness, representation of medical knowledge is crucial. However, most existing systems do not represent knowledge in a reusable way, hindering also reuse of data. Our purpose is therefore to make our computational models of medical knowledge sharable, extensible and interoperational with established knowledge representations in the form of the LapOntoSPM ontology. To show its usefulness, we apply it to situation interpretation, i.e., the recognition of surgical phases based on surgical activities. Considering best practices in ontology engineering and building on our ontology for laparoscopy, we formalized the workflow of laparoscopic adrenalectomies, cholecystectomies and pancreatic resections in the framework of OntoSPM, a new standard for surgical process models. Furthermore, we provide a rule-based situation interpretation algorithm based on SQWRL to recognize surgical phases using the ontology. The system was evaluated on ground-truth data from 19 manually annotated surgeries. The aim was to show that the phase recognition capabilities are equal to a specialized solution. The recognition rates of the new system were equal to the specialized one. However, the time needed to interpret a situation rose from 0.5 to 1.8 s on average which is still viable for practical application. We successfully integrated medical knowledge for laparoscopic surgeries into OntoSPM, facilitating knowledge and data sharing. This is especially important for reproducibility of results and unbiased comparison of recognition algorithms. The associated recognition algorithm was adapted to the new representation without any loss of classification power. The work is an important step to standardized knowledge and data representation in the field on context awareness and thus toward unified benchmark data sets.

The CROPROTECT project and wider opportunities to improve farm productivity through web-based knowledge exchange.

PubMed

Bruce, Toby J A

2016-05-01

A key global 21st century challenge is to maximize agricultural production while minimizing use of resources such as land, water, and energy to meet rising demand for produce. To meet this challenge, while also adapting to climate change, agriculture will have to become more knowledge intensive and deploy smarter farming techniques. The intention of this study was to: (1) Highlight the opportunity for web-based knowledge exchange to increase farm productivity and thus contribute to achieving food and energy security, (2) Give some examples of online farming information services such as the "CROPROTECT" tool I am developing in the UK, the CABI "Plantwise" Knowledge Bank and the IRRI "Rice Doctor," and (3) Consider lessons learnt so far. There are huge opportunities to facilitate knowledge exchange through online systems for farmers and people who advise farmers. CROPROTECT is interacting with users to determine priorities in terms of the pests, weeds, and diseases covered and is providing key information to assist with their management. Knowledge is a critical input for farming systems. Crop protection in particular is becoming more difficult due to evolution of pest resistance and changes in legislation. Up to date information can be made rapidly available and shared online through websites and smartphone Apps. Agricultural extension no longer relies solely on physical meetings and printed documents. The capacity to share information via the Internet is tremendous with its potential to reach a wide audience in the farming community, to provide rapid updates and to interact more with the users. However, in an era of information deluge, accessing relevant information and ensuring reliability are essential considerations. There is also a need to bring science and farming communities together to turn information into relevant farming knowledge.

Taxonomic and thematic organisation of proper name conceptual knowledge.

PubMed

Crutch, Sebastian J; Warrington, Elizabeth K

2011-01-01

We report the investigation of the organisation of proper names in two aphasic patients (NBC and FBI). The performance of both patients on spoken word to written word matching tasks was inconsistent, affected by presentation rate and semantic relatedness of the competing responses, all hallmarks of a refractory semantic access dysphasia. In a series of experiments we explored the semantic relatedness effects within their proper name vocabulary, including brand names and person names. First we demonstrated the interaction between very fine grain organisation and personal experience, with one patient with a special interest in the cinema demonstrating higher error rates when identifying the names of actors working in a similar film genre (e.g., action movies: Arnold Schwarzenegger, Bruce Willis, Sylvester Stallone, Mel Gibson) than those working in different genres (e.g., Arnold Schwarzenegger, Gregory Peck, Robin Williams, Gene Kelly). Second we compared directly two potential principles of semantic organisation - taxonomic and thematic. Furthermore we considered these principles of organisation in the context of the individuals' personal knowledge base. We selected topics matching the interests and experience of each patient, namely cinema and literature (NBC) and naval history (FBI). The stimulus items were arranged in taxonomic arrays (e.g., Jane Austen, Emily Bronte, Agatha Christie), thematic arrays (e.g., Jane Austen, Pride and Prejudice, Mr Darcy), and unrelated arrays (e.g., Jane Austen, Wuthering Heights, Hercule Poirot). We documented that different patterns of taxonomic and thematic organisation were constrained by whether the individual has limited knowledge, moderate knowledge or detailed knowledge of a particular vocabulary. It is suggested that moderate proper name knowledge is primarily organised by taxonomy whereas extensive experience results in a more detailed knowledge base in which theme is a powerful organising principle.

Taxonomic and Thematic Organisation of Proper Name Conceptual Knowledge

PubMed Central

Crutch, Sebastian J.; Warrington, Elizabeth K.

2011-01-01

We report the investigation of the organisation of proper names in two aphasic patients (NBC and FBI). The performance of both patients on spoken word to written word matching tasks was inconsistent, affected by presentation rate and semantic relatedness of the competing responses, all hallmarks of a refractory semantic access dysphasia. In a series of experiments we explored the semantic relatedness effects within their proper name vocabulary, including brand names and person names. First we demonstrated the interaction between very fine grain organisation and personal experience, with one patient with a special interest in the cinema demonstrating higher error rates when identifying the names of actors working in a similar film genre (e.g. action movies: Arnold Schwarzenegger, Bruce Willis, Sylvester Stallone, Mel Gibson) than those working in different genres (e.g. Arnold Schwarzenegger, Gregory Peck, Robin Williams, Gene Kelly). Second we compared directly two potential principles of semantic organisation – taxonomic and thematic. Furthermore we considered these principles of organisation in the context of the individuals' personal knowledge base. We selected topics matching the interests and experience of each patient, namely cinema and literature (NBC) and naval history (FBI). The stimulus items were arranged in taxonomic arrays (e.g. Jane Austen, Emily Bronte, Agatha Christie), thematic arrays (e.g. Jane Austen, Pride and Prejudice, Mr Darcy), and unrelated arrays (e.g. Jane Austen, Wuthering Heights, Hercule Poirot). We documented that different patterns of taxonomic and thematic organisation were constrained by whether the individual has limited knowledge, moderate knowledge or detailed knowledge of a particular vocabulary. It is suggested that moderate proper name knowledge is primarily organised by taxonomy whereas extensive experience results in a more detailed knowledge base in which theme is a powerful organising principle. PMID:22063815

Object-oriented fault tree evaluation program for quantitative analyses

NASA Technical Reports Server (NTRS)

Patterson-Hine, F. A.; Koen, B. V.

1988-01-01

Object-oriented programming can be combined with fault free techniques to give a significantly improved environment for evaluating the safety and reliability of large complex systems for space missions. Deep knowledge about system components and interactions, available from reliability studies and other sources, can be described using objects that make up a knowledge base. This knowledge base can be interrogated throughout the design process, during system testing, and during operation, and can be easily modified to reflect design changes in order to maintain a consistent information source. An object-oriented environment for reliability assessment has been developed on a Texas Instrument (TI) Explorer LISP workstation. The program, which directly evaluates system fault trees, utilizes the object-oriented extension to LISP called Flavors that is available on the Explorer. The object representation of a fault tree facilitates the storage and retrieval of information associated with each event in the tree, including tree structural information and intermediate results obtained during the tree reduction process. Reliability data associated with each basic event are stored in the fault tree objects. The object-oriented environment on the Explorer also includes a graphical tree editor which was modified to display and edit the fault trees.

Machine-aided indexing at NASA

NASA Technical Reports Server (NTRS)

Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

1994-01-01

This report describes the NASA Lexical Dictionary (NLD), a machine-aided indexing system used online at the National Aeronautics and Space Administration's Center for AeroSpace Information (CASI). This system automatically suggests a set of candidate terms from NASA's controlled vocabulary for any designated natural language text input. The system is comprised of a text processor that is based on the computational, nonsyntactic analysis of input text and an extensive knowledge base that serves to recognize and translate text-extracted concepts. The functions of the various NLD system components are described in detail, and production and quality benefits resulting from the implementation of machine-aided indexing at CASI are discussed.

Designing for Cost

NASA Technical Reports Server (NTRS)

Dean, Edwin B.; Unal, Resit

1991-01-01

Designing for cost is a state of mind. Of course, a lot of technical knowledge is required and the use of appropriate tools will improve the process. Unfortunately, the extensive use of weight based cost estimating relationships has generated a perception in the aerospace community that the primary way to reduce cost is to reduce weight. Wrong! Based upon an approximation of an industry accepted formula, the PRICE H (tm) production-production equation, Dean demonstrated theoretically that the optimal trajectory for cost reduction is predominantly in the direction of system complexity reduction, not system weight reduction. Thus the phrase "keep it simple" is a primary state of mind required for reducing cost throughout the design process.

Practicing What We Teach: A Self-Study in Implementing an Inquiry-Based Curriculum in a Middle Grades Classroom

NASA Astrophysics Data System (ADS)

Dias, Michael; Eick, Charles J.; Brantley-Dias, Laurie

2011-02-01

A science teacher educator returned to teaching adolescents after more than 10 years in the professoriate. We studied his beliefs, practice and daily use of inquiry pedagogy while implementing a reform-based curriculum. Reflection on practice was evidenced by a weekly journal, classroom observations and debriefings, and extensive interviews. Newly developed practical knowledge from this experience shifted the science teacher educator's beliefs away from the Piagetian structuralism espoused in prescribed curricula towards a more culturally responsive, student-driven approach to teaching science to middle grades students. The merits and limitations of curricula attempting to follow traditional scientific practices are discussed.

Modeling Common-Sense Decisions

NASA Astrophysics Data System (ADS)

Zak, Michail

This paper presents a methodology for efficient synthesis of dynamical model simulating a common-sense decision making process. The approach is based upon the extension of the physics' First Principles that includes behavior of living systems. The new architecture consists of motor dynamics simulating actual behavior of the object, and mental dynamics representing evolution of the corresponding knowledge-base and incorporating it in the form of information flows into the motor dynamics. The autonomy of the decision making process is achieved by a feedback from mental to motor dynamics. This feedback replaces unavailable external information by an internal knowledgebase stored in the mental model in the form of probability distributions.

Some dynamic resource allocation problems in wireless networks

NASA Astrophysics Data System (ADS)

Berry, Randall

2001-07-01

We consider dynamic resource allocation problems that arise in wireless networking. Specifically transmission scheduling problems are studied in cases where a user can dynamically allocate communication resources such as transmission rate and power based on current channel knowledge as well as traffic variations. We assume that arriving data is stored in a transmission buffer, and investigate the trade-off between average transmission power and average buffer delay. A general characterization of this trade-off is given and the behavior of this trade-off in the regime of asymptotically large buffer delays is explored. An extension to a more general utility based quality of service definition is also discussed.

Immune microenvironment in colorectal cancer: a new hallmark to change old paradigms.

PubMed

de la Cruz-Merino, Luis; Henao Carrasco, Fernando; Vicente Baz, David; Nogales Fernández, Esteban; Reina Zoilo, Juan José; Codes Manuel de Villena, Manuel; Pulido, Enrique Grande

2011-01-01

Impact of immune microenvironment in prognosis of solid tumors has been extensively studied in the last few years. Specifically in colorectal carcinoma, increased knowledge of the immune events around these tumors and their relation with clinical outcomes have led to consider immune microenvironment as one of the most important prognostic factors in this disease. In this review we will summarize and update the current knowledge with respect to this intriguing and complex new hallmark of cancer, paying special attention to infiltration by T-infiltrating lymphocytes and their subtypes in colorectal cancer, as well as its eventual clinical translation in terms of long-term prognosis. Finally, we suggest some possible investigational approaches based on combinatorial strategies to trigger and boost immune reaction against tumor cells.

Inductive knowledge acquisition experience with commercial tools for space shuttle main engine testing

NASA Technical Reports Server (NTRS)

Modesitt, Kenneth L.

1990-01-01

Since 1984, an effort has been underway at Rocketdyne, manufacturer of the Space Shuttle Main Engine (SSME), to automate much of the analysis procedure conducted after engine test firings. Previously published articles at national and international conferences have contained the context of and justification for this effort. Here, progress is reported in building the full system, including the extensions of integrating large databases with the system, known as Scotty. Inductive knowledge acquisition has proven itself to be a key factor in the success of Scotty. The combination of a powerful inductive expert system building tool (ExTran), a relational data base management system (Reliance), and software engineering principles and Computer-Assisted Software Engineering (CASE) tools makes for a practical, useful and state-of-the-art application of an expert system.

The slings and arrows of communication on nanotechnology

PubMed Central

Zimmer, René; Vierboom, Carl; Härlen, Ingo; Hertel, Rolf; Böl, Gaby-Fleur

2009-01-01

According to numerous surveys the perceived risk of nanotechnology is low and most people feel that the benefits outweigh the risks. This article provides greater insight into risk perception and concludes that the positive attitude to nanotechnology is based not on knowledge but on hope and fascination. The perceived risk is low because of a lack of vivid and frightening images of possible hazards. If news flashes were to link nanotechnology to concrete hazards or actual harm to people, attitudes might suddenly change. Risk communication faces the problem of dealing with a public at large that has little or no knowledge about the technology. As it takes time and extensive additional research to develop appropriate communication strategies and disseminate them to the relevant institutions, this exercise should be started immediately. PMID:21170119

The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery

PubMed Central

2014-01-01

The Semanticscience Integrated Ontology (SIO) is an ontology to facilitate biomedical knowledge discovery. SIO features a simple upper level comprised of essential types and relations for the rich description of arbitrary (real, hypothesized, virtual, fictional) objects, processes and their attributes. SIO specifies simple design patterns to describe and associate qualities, capabilities, functions, quantities, and informational entities including textual, geometrical, and mathematical entities, and provides specific extensions in the domains of chemistry, biology, biochemistry, and bioinformatics. SIO provides an ontological foundation for the Bio2RDF linked data for the life sciences project and is used for semantic integration and discovery for SADI-based semantic web services. SIO is freely available to all users under a creative commons by attribution license. See website for further information: http://sio.semanticscience.org. PMID:24602174

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

Nandwana, Peeyush; Elliott, Amy M.; Siddel, Derek

Traditional manufacturing of Inconel 718 components from castings and thermomechanical processing routes involve extensive post processing and machining to attain the desired geometry. Additive manufacturing (AM) technologies including direct energy deposition (DED), selective laser melting (SLM), electron beam melting (EBM) and binder jet 3D printing (BJ3DP) can minimize scrap generation and reduce lead times. While there is extensive literature on the use of melting and solidification based AM technologies, there has been limited research on the use of binder jet 3D printing. In this paper, a brief review on binder jet additive manufacturing of Inconel 718 is presented. In addition,more » existing knowledge on sintering of Inconel 718 has been extended to binder jet 3D printing. We found that supersolidus liquid phase sintering (SLPS) is necessary to achieve full densification of Inconel 718. SLPS is sensitive to the feedstock chemistry that has a strong influence on the liquid volume fraction at the processing temperature. Based on these results, we discuss an empirical framework to determine the role of powder particle size and liquid volume fraction on sintering kinetics. In conclusion, the role of powder packing factor and binder saturation on microstructural evolution is discussed. The current challenges in the use of BJ3DP for fabrication of Inconel 718, as well as, extension to other metal systems, are presented.« less

Interactive knowledge networks for interdisciplinary course navigation within Moodle.

PubMed

Scherl, Andre; Dethleffsen, Kathrin; Meyer, Michael

2012-12-01

Web-based hypermedia learning environments are widely used in modern education and seem particularly well suited for interdisciplinary learning. Previous work has identified guidance through these complex environments as a crucial problem of their acceptance and efficiency. We reasoned that map-based navigation might provide straightforward and effortless orientation. To achieve this, we developed a clickable and user-oriented concept map-based navigation plugin. This tool is implemented as an extension of Moodle, a widely used learning management system. It visualizes inner and interdisciplinary relations between learning objects and is generated dynamically depending on user set parameters and interactions. This plugin leaves the choice of navigation type to the user and supports direct guidance. Previously developed and evaluated face-to-face interdisciplinary learning materials bridging physiology and physics courses of a medical curriculum were integrated as learning objects, the relations of which were defined by metadata. Learning objects included text pages, self-assessments, videos, animations, and simulations. In a field study, we analyzed the effects of this learning environment on physiology and physics knowledge as well as the transfer ability of third-term medical students. Data were generated from pre- and posttest questionnaires and from tracking student navigation. Use of the hypermedia environment resulted in a significant increase of knowledge and transfer capability. Furthermore, the efficiency of learning was enhanced. We conclude that hypermedia environments based on Moodle and enriched by concept map-based navigation tools can significantly support interdisciplinary learning. Implementation of adaptivity may further strengthen this approach.

Knowledge and skills retention among frontline health workers: community maternal and newborn health training in rural Ethiopia.

PubMed

Gobezayehu, Abebe Gebremariam; Mohammed, Hajira; Dynes, Michelle M; Desta, Binyam Fekadu; Barry, Danika; Aklilu, Yeshiwork; Tessema, Hanna; Tadesse, Lelissie; Mikulich, Meridith; Buffington, Sandra Tebben; Sibley, Lynn M

2014-01-01

We examined the degree to which the skills and knowledge of health workers in Ethiopia were retained 18 months after initial maternal and newborn health training and sought to identify factors associated with 18-month skills assessment performance. A nonexperimental, descriptive design was employed to assess 18-month skills performance on the topics of Prevent Problems Before Baby Is Born and Prevent Problems After Baby Is Born. Assessment was conducted by project personnel who also received the maternal and newborn health training and additional training to reliably assess health worker performance. Among the 732 health workers who participated in maternal and newborn health training in 6 rural districts of the Amhara and Oromia regions of Ethiopia (including pretesting before training and a posttraining posttest), 75 health extension workers (78%) and 234 guide team members (37%) participated in 18-month posttest. Among health extension workers in both regions, strong knowledge retention was noted in 10 of 14 care steps for Prevent Problems Before Baby Is Born and in 14 of 16 care steps of Prevent Problems After Baby Is Born. Lower knowledge retention was observed among guide team members in the Amhara region. Across regions, health workers scored lowest on steps that involved nonaction (eg, do not give oxytocin). Educational attainment and age were among the few variables found to significantly predict test performance, although participants varied substantially by other sociodemographic characteristics. Results demonstrated an overall strong retention of knowledge and skills among health extension workers and highlighted the need for improvement among some guide team members. Refresher training and development of strategies to improve knowledge of retention of low-performing steps were recommended. © 2014 by the American College of Nurse-Midwives.

Metabolic Engineering of Saccharomyces cerevisiae

PubMed Central

Ostergaard, Simon; Olsson, Lisbeth; Nielsen, Jens

2000-01-01

Comprehensive knowledge regarding Saccharomyces cerevisiae has accumulated over time, and today S. cerevisiae serves as a widley used biotechnological production organism as well as a eukaryotic model system. The high transformation efficiency, in addition to the availability of the complete yeast genome sequence, has facilitated genetic manipulation of this microorganism, and new approaches are constantly being taken to metabolicially engineer this organism in order to suit specific needs. In this paper, strategies and concepts for metabolic engineering are discussed and several examples based upon selected studies involving S. cerevisiae are reviewed. The many different studies of metabolic engineering using this organism illustrate all the categories of this multidisciplinary field: extension of substrate range, improvements of producitivity and yield, elimination of byproduct formation, improvement of process performance, improvements of cellular properties, and extension of product range including heterologous protein production. PMID:10704473

Urban History in 4 Dimensions - Supporting Research and Education

NASA Astrophysics Data System (ADS)

Münster, S.; Friedrichs, K.; Kröber, C.; Bruschke, J.; Henze, F.; Maiwald, F.; Niebling, F.

2017-08-01

The new research group on the four-dimensional research and communication of urban history (Urban History 4D) aims to investigate and develop methods and technologies to access extensive repositories of historical media and their contextual information in a spatial model, with an additional temporal component. This will make content accessible to different target groups, researchers and the public, via a 4D browser. A location-dependent augmented-reality representation can be used as an information base, research tool, and means of communicating historical knowledge. The data resources for this research include extensive holdings of historical photographs of Dresden, which have documented the city over the decades, and digitized map collections from the Deutsche Fotothek (German photographic collection) platform. These will lay the foundation for a prototype model which will give users a virtual experience of historic parts of Dresden.

Development and Demonstration of a Magnesium-Intensive Vehicle Front-End Substructure

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

Logan, Stephen D.; Forsmark, Joy H.; Osborne, Richard

2016-07-01

This project is the final phase (designated Phase III) of an extensive, nine-year effort with the objectives of developing a knowledge base and enabling technologies for the design, fabrication and performance evaluation of magnesium-intensive automotive front-end substructures intended to partially or completely replace all-steel comparators, providing a weight savings approaching 50% of the baseline. Benefits of extensive vehicle weight reduction in terms of fuel economy increase, extended vehicle range, vehicle performance and commensurate reductions in greenhouse gas emissions are well known. An exemplary vehicle substructure considered by the project is illustrated in Figure 1, along with the exterior vehicle appearance.more » This unibody front-end “substructure” is one physical objective of the ultimate design and engineering aspects established at the outset of the larger collective effort.« less

The Impact of the Media in Influencing Extension's Perceptions of Methamphetamine

ERIC Educational Resources Information Center

Beaudreault, Amy R.

2013-01-01

The study reported here explored media dependency and moral panic involving methamphetamine perceptions among a national sample of Extension Directors through survey methodology. With a 70.0% response rate, the questionnaire concentrated on demographics; methamphetamine knowledge, information sources, and dependency; and perceptions of the media.…

Enhancing Extensive Reading with Data-Driven Learning

ERIC Educational Resources Information Center

Hadley, Gregory; Charles, Maggie

2017-01-01

This paper investigates using data-driven learning (DDL) as a means of stimulating greater lexicogrammatical knowledge and reading speed among lower proficiency learners in an extensive reading program. For 16 weekly 90-minute sessions, an experimental group (12 students) used DDL materials created from a corpus developed from the Oxford Bookworms…

THE VALUE OF STEEP, GREEN ROOF TECHNOLOGY TO SUSTAINABLE COLD CLIMATE COMMUNITIES

EPA Science Inventory

With the knowledge gained from this preliminary study, we plan to built a modified extensive green roof product that addresses both the opportunities and limitations of current extensive manufactured green roof products. The results of our tests will be shared with building c...

Untied Efforts: The Challenges for Improved Research, Extension and Education Linkages

ERIC Educational Resources Information Center

Eneyew, Adugna

2013-01-01

Ethiopian agriculture is characterized by smallholders farming whose access to modern technology and basic education is very limited. Research, extension, education and farmers are the main pillars of agricultural knowledge systems and their effectiveness largely depends on strong linkage among each other. However, the existing…

Land-Grant Extension: Defining Public Good and Identifying Pitfalls in Evaluation

ERIC Educational Resources Information Center

Collins, Christopher S.

2015-01-01

Land-grant extension is an ongoing example of higher education outreach and community engagement. Population, food, climate, and geographic isolation all factor into the importance of producing and facilitating agricultural knowledge. This qualitative study took place in a geographically isolated region with potential food security issues to…

Leadership Competencies of Tennessee Extension Agents: Implications for Professional Development

ERIC Educational Resources Information Center

Hall, John L.; Broyles, Thomas W.

2016-01-01

The study's purpose was to determine Extension agents' (n= 111) perceived level of importance, knowledge, and training needs for leadership skills. Mean Weighted Discrepancy Scores were calculated to determine training needs. Participants' perceived responses were average to above average importance for all skills; however, the participants'…

75 FR 37780 - Proposed Waivers and Extensions of Project Periods: Presidential Academies and Congressional...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-06-30

... civics to strengthen their knowledge of, and preparation for, teaching these subjects. The Congressional... the teaching of history. We seek this waiver and extension of project period in order to enable each... Congressional Academies projects are relatively small, with defined intervention strategies consisting of summer...

An Extension Education Program to Help Local Governments with Flood Adaptation

ERIC Educational Resources Information Center

Gary, Gretchen; Allred, Shorna; LoGiudice, Elizabeth

2014-01-01

Education is an important tool to increase the capacity of local government officials for community flood adaptation. To address flood adaptation and post-flood stream management in municipalities, Cornell Cooperative Extension and collaborators developed an educational program to increase municipal officials' knowledge about how to work…

Testing Extension Services through AKAP Models

ERIC Educational Resources Information Center

De Rosa, Marcello; Bartoli, Luca; La Rocca, Giuseppe

2014-01-01

Purpose: The aim of the paper is to analyse the attitude of Italian farms in gaining access to agricultural extension services (AES). Design/methodology/approach: The ways Italian farms use AES are described through the AKAP (Awareness, Knowledge, Adoption, Product) sequence. This article investigated the AKAP sequence by submitting a…

Information Technologies as a Tool for Agricultural Extension and Farmer-to-Farmer Exchange: Mobile-Phone Video Use in Mali and Burkina Faso

ERIC Educational Resources Information Center

Sousa, Fernando; Nicolay, Gian; Home, Robert

2016-01-01

Mobile phones are widespread in the rural areas of Mali and Burkina Faso, but their potential as a tool for knowledge transfer by extension services in the region remains largely unexplored. The aim of this contribution is to evaluate the potential of video on mobile phones as a tool for farmer-to-farmer exchange and agricultural extension in…

Artificial Intelligence Based Selection of Optimal Cutting Tool and Process Parameters for Effective Turning and Milling Operations

NASA Astrophysics Data System (ADS)

Saranya, Kunaparaju; John Rozario Jegaraj, J.; Ramesh Kumar, Katta; Venkateshwara Rao, Ghanta

2016-06-01

With the increased trend in automation of modern manufacturing industry, the human intervention in routine, repetitive and data specific activities of manufacturing is greatly reduced. In this paper, an attempt has been made to reduce the human intervention in selection of optimal cutting tool and process parameters for metal cutting applications, using Artificial Intelligence techniques. Generally, the selection of appropriate cutting tool and parameters in metal cutting is carried out by experienced technician/cutting tool expert based on his knowledge base or extensive search from huge cutting tool database. The present proposed approach replaces the existing practice of physical search for tools from the databooks/tool catalogues with intelligent knowledge-based selection system. This system employs artificial intelligence based techniques such as artificial neural networks, fuzzy logic and genetic algorithm for decision making and optimization. This intelligence based optimal tool selection strategy is developed using Mathworks Matlab Version 7.11.0 and implemented. The cutting tool database was obtained from the tool catalogues of different tool manufacturers. This paper discusses in detail, the methodology and strategies employed for selection of appropriate cutting tool and optimization of process parameters based on multi-objective optimization criteria considering material removal rate, tool life and tool cost.

Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge.

PubMed

Geerts, Hugo; Dacks, Penny A; Devanarayan, Viswanath; Haas, Magali; Khachaturian, Zaven S; Gordon, Mark Forrest; Maudsley, Stuart; Romero, Klaus; Stephenson, Diane

2016-09-01

Massive investment and technological advances in the collection of extensive and longitudinal information on thousands of Alzheimer patients results in large amounts of data. These "big-data" databases can potentially advance CNS research and drug development. However, although necessary, they are not sufficient, and we posit that they must be matched with analytical methods that go beyond retrospective data-driven associations with various clinical phenotypes. Although these empirically derived associations can generate novel and useful hypotheses, they need to be organically integrated in a quantitative understanding of the pathology that can be actionable for drug discovery and development. We argue that mechanism-based modeling and simulation approaches, where existing domain knowledge is formally integrated using complexity science and quantitative systems pharmacology can be combined with data-driven analytics to generate predictive actionable knowledge for drug discovery programs, target validation, and optimization of clinical development. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

An Architecture for Standardized Terminology Services by Wrapping and Integration of Existing Applications

PubMed Central

Cornet, Ronald; Prins, Antoon K.

2003-01-01

Research on terminology services has resulted in development of applications and definition of standards, but has not yet led to widespread use of (standardized) terminology services in practice. Current terminology services offer functionality both for concept representation and lexical knowledge representation, hampering the possibility of combining the strengths of dedicated (concept and lexical) services. We therefore propose an extensible architecture in which concept-related and lexicon-related components are integrated and made available through a uniform interface. This interface can be extended in order to conform to existing standards, making it possible to use dedicated (third-party) components in a standardized way. As a proof of concept and a reference implementation, a SOAP-based Java implementation of the terminology service is being developed, providing wrappers for Protégé and UMLS Knowledge Source Server. Other systems, such as the Description Logic-based reasoner RACER can be easily integrated by implementation of an appropriate wrapper. PMID:14728158

A Comparison of Pre-Service, In-Service and Formation Program for Teachers' Perceptions of Technological Pedagogical Content Knowledge (TPACK) in English Language Teaching (ELT)

ERIC Educational Resources Information Center

Turgut, Yildiz

2017-01-01

In view of the rapid advancement of technology, technological pedagogical content knowledge (TPACK) has been extensively studied. However, research on technological pedagogical content knowledge (TPACK) in teaching English appear to be scarce and addressed either pre-service or in-service teachers, but not their comparison. Additionally, although…

Zoonotic importance of canine scabies and dermatophytosis in relation to knowledge level of dog owners

PubMed Central

Raval, Heli S.; Nayak, J. B.; Patel, B. M.; Bhadesiya, C. M.

2015-01-01

Aim: The present study was undertaken to understand the zoonotic importance of canine scabies and dermatophytosis with special reference to the knowledge level of dog owners in urban areas of Gujarat. Materials and Methods: The study was carried out in randomly selected 120 dog owners of 3 urban cities (viz., Ahmedabad, Anand and Vadodara) of Gujarat state, India. Dog owners (i.e., respondents) were subjected to a detailed interview regarding the zoonotic importance of canine scabies and dermatophytosis in dogs. Ex-post-facto research design was selected because of the independent variables of the selected respondent population for the study. The crucial method used in collecting data was a field survey to generate null hypothesis (Ho1). Available data was subjected to statistical analysis. Results: The three independent variables, viz., extension contact (r=0.522**), mass-media exposure (r=0.205*) and management orientation (r=0.264**) had significant relationship with knowledge of dog owners about zoonotic diseases. Other independent variables, viz., education, experience in dog keeping and housing space were observed to have negative and non-significant relationship with knowledge of dog owners about zoonotic diseases. Conclusion: Extension contact, exposure to extension mass-media, management orientation and innovation proneness among dog owners of 3 urban cities of Gujarat state had significant relationship with knowledge of dog owners on zoonotic aspects of canine scabies and dermatophytosis. Data provided new insights on the present status of zoonotic disease-awareness, which would be an aid to plan preventive measures. PMID:27065644

Proceedings: international conference on transfer of forest science knowledge and technology.

Treesearch

Cynthia Miner; Ruth Jacobs; Dennis Dykstra; Becky Bittner

2007-01-01

This proceedings compiles papers presented by extensionists, natural resource specialists, scientists, technology transfer specialists, and others at an international conference that examined knowledge and technology transfer theories, methods, and case studies. Theory topics included adult education, applied science, extension, diffusion of innovations, social...

Semantics-enabled service discovery framework in the SIMDAT pharma grid.

PubMed

Qu, Cangtao; Zimmermann, Falk; Kumpf, Kai; Kamuzinzi, Richard; Ledent, Valérie; Herzog, Robert

2008-03-01

We present the design and implementation of a semantics-enabled service discovery framework in the data Grids for process and product development using numerical simulation and knowledge discovery (SIMDAT) Pharma Grid, an industry-oriented Grid environment for integrating thousands of Grid-enabled biological data services and analysis services. The framework consists of three major components: the Web ontology language (OWL)-description logic (DL)-based biological domain ontology, OWL Web service ontology (OWL-S)-based service annotation, and semantic matchmaker based on the ontology reasoning. Built upon the framework, workflow technologies are extensively exploited in the SIMDAT to assist biologists in (semi)automatically performing in silico experiments. We present a typical usage scenario through the case study of a biological workflow: IXodus.

The Canadian effort to prevent and control hypertension: can other countries adopt Canadian strategies?

PubMed

Campbell, Norm R C; Sheldon, Tobe

2010-07-01

To indicate the key elements of current Canadian programs to treat and control hypertension. In the early 1990s Canada had a hypertension treatment and control rate of 13%. A Canadian strategy to prevent and control hypertension was developed and a coalition of national organizations and volunteers formed to develop increasingly extensive programs. The Canadian effort was largely based on annually updated hypertension management recommendations, an integrated and extensive hypertension knowledge translation program and an increasingly comprehensive outcomes assessment program. After the start of the annual process in 1999, there were very large increases in diagnosis and hypertension treatment coupled with dropping rates of cardiovascular disease. More recent initiatives include an extensive education program for the public and people with hypertension, a program to reduce dietary salt and a funded leadership position. The treatment and control rate increased to 66% when last assessed (2007-2009). The study describes important aspects of the Canadian hypertension management programs to aid those wishing to develop similar programs. Many of the programs could be fully or partially implemented by other countries.

Design and development of food safety knowledge and attitude scales for consumer food safety education.

PubMed

Medeiros, Lydia C; Hillers, Virginia N; Chen, Gang; Bergmann, Verna; Kendall, Patricia; Schroeder, Mary

2004-11-01

The objective of this study was to design and develop food safety knowledge and attitude scales based on food-handling guidelines developed by a national panel of food safety experts. Knowledge (n=43) and attitude (n=49) questions were developed and pilot-tested with a variety of consumer groups. Final questions were selected based on item analysis and on validity and reliability statistical tests. Knowledge questions were tested in Washington State with participants in low-income nutrition education programs (pretest/posttest n=58, test/retest n=19) and college students (pretest/posttest n=34). Attitude questions were tested in Ohio with nutrition education program participants (n=30) and college students (non-nutrition majors n=138, nutrition majors n=57). Item analysis, paired sample t tests, Pearson's correlation coefficients, and Cronbach's alpha were used. Reliability and validity tests of individual items and the question sets were used to reduce the scales to 18 knowledge questions and 10 attitude questions. The knowledge and attitude scales covered topics ranked as important by a national panel of experts and met most validity and reliability standards. The 18-item knowledge questionnaire had instructional sensitivity (mean score increase of more than three points after instruction), internal reliability (Cronbach's alpha >.75), and produced similar results in test-retest without intervention (coefficient of stability=.81). Knowledge of correct procedures for hand washing and avoiding cross-contamination was widespread before instruction. Knowledge was limited regarding avoiding food preparation while ill, cooking hamburgers, high-risk foods, and whether cooked rice and potatoes could be stored at room temperature. The 10-item attitude scale had an appropriate range of responses (item difficulty) and produced similar results in test-retest ( P

[Evidence-based aspects of clinical mastitis treatment].

PubMed

Mansion-de Vries, E M; Hoedemaker, M; Krömker, V

2015-01-01

Mastitis is one of the most common and expensive diseases in dairy cattle. The decision to treat clinical mastitis is usually made without any knowledge of the etiology, and can therefore only be evidence-based to a limited extent. Evidence-based medicine relies essentially on a combination of one's own clinical competence and scientific findings. In mastitis therapy, those insights depend mostly on pathogen-specific factors. Therefore, in evidence-based therapeutic decision making the pathogen identification should serve as a basis for the consideration of scientifically validated therapeutic concepts. The present paper considers evidence-based treatment of clinical mastitis based on a literature review. The authors conclude that an anti-inflammatory treatment using an NSAID should be conducted regardless of the pathogen. However, the choice of an antibiotic therapy depends on the mastitis causative pathogen, clinical symptoms and the animal itself. In principle, a local antibiotic treatment should be chosen for mild and moderate mastitis. It should be noted, that the benefit of an antibiotic therapy for coliform infections is questionable. With knowledge concerning the pathogen, it appears entirely reasonable to refrain from an antibiotic therapy. For severe (i.   e. feverish) mastitis, a parenteral antibiotic therapy should be selected. An extension of the antibiotic therapy beyond the manufacturer's information is only reasonable for streptococcal infections. It is important to make the decision on a prolonged antibiotic therapy only with the knowledge of the mastitis-causative pathogen. In terms of the therapy of a staphylococcus or streptococcus infection, a narrow-spectrum antibiotic from the penicillin family should be adopted when selecting the active agents.

Virtual manufacturing in reality

NASA Astrophysics Data System (ADS)

Papstel, Jyri; Saks, Alo

2000-10-01

SMEs play an important role in manufacturing industry. But from time to time there is a shortage in resources to complete the particular order in time. Number of systems is introduced to produce digital information in order to support product and process development activities. Main problem is lack of opportunity for direct data transition within design system modules when needed temporary extension of design capacity (virtuality) or to implement integrated concurrent product development principles. The planning experience in the field is weakly used as well. The concept of virtual manufacturing is a supporting idea to solve this problem. At the same time a number of practical problems should be solved like information conformity, data transfer, unified technological concepts acceptation etc. In the present paper the proposed ways to solve the practical problems of virtual manufacturing are described. General objective is to introduce the knowledge-based CAPP system as missing module for Virtual Manufacturing in the selected product domain. Surface-centered planning concept based on STEP- based modeling principles, and knowledge-based process planning methodology will be used to gain the objectives. As a result the planning module supplied by design data with direct access, and supporting advising environment is expected. Mould producing SME would be as test basis.

iES - An Intelligent Electronic Sales Platform

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

Stanton, V L; Korbe III, W; Gao, J G

Current e-commerce systems support online shopping based on electronic product catalogs. The major issues associated with catalog-based commerce systems are: difficulty in distinguishing one retailer from another, complex navigation with confusing links, and a lack of personalized service. This paper reports an intelligent solution to address these issues. Our solution will provide a more personalized sales experience through the use of a transaction-based knowledge model that includes both the rules used for reasoning as well as the corresponding actions. Based on this solution, we have developed an intelligent electronic sales platform that is supported by a framework which provides themore » desired personalization as well as extensibility and customization capabilities. This paper reports our design and development of this system and application examples.« less

Collaborative data model and data base development for paleoenvironmental and archaeological domain using Semantic MediaWiki

NASA Astrophysics Data System (ADS)

Willmes, C.

2017-12-01

In the frame of the Collaborative Research Centre 806 (CRC 806) an interdisciplinary research project, that needs to manage data, information and knowledge from heterogeneous domains, such as archeology, cultural sciences, and the geosciences, a collaborative internal knowledge base system was developed. The system is based on the open source MediaWiki software, that is well known as the software that enables Wikipedia, for its facilitation of a web based collaborative knowledge and information management platform. This software is additionally enhanced with the Semantic MediaWiki (SMW) extension, that allows to store and manage structural data within the Wiki platform, as well as it facilitates complex query and API interfaces to the structured data stored in the SMW data base. Using an additional open source software called mobo, it is possible to improve the data model development process, as well as automated data imports, from small spreadsheets to large relational databases. Mobo is a command line tool that helps building and deploying SMW structure in an agile, Schema-Driven Development way, and allows to manage and collaboratively develop the data model formalizations, that are formalized in JSON-Schema format, using version control systems like git. The combination of a well equipped collaborative web platform facilitated by Mediawiki, the possibility to store and query structured data in this collaborative database provided by SMW, as well as the possibility for automated data import and data model development enabled by mobo, result in a powerful but flexible system to build and develop a collaborative knowledge base system. Furthermore, SMW allows the application of Semantic Web technology, the structured data can be exported into RDF, thus it is possible to set a triple-store including a SPARQL endpoint on top of the database. The JSON-Schema based data models, can be enhanced into JSON-LD, to facilitate and profit from the possibilities of Linked Data technology.

Assessing Instructional Sensitivity Using the Pre-Post Difference Index: A Nontechnical Tool for Extension Educators

ERIC Educational Resources Information Center

Adedokun, Omolola A.

2018-01-01

This article provides an illustrative description of the pre-post difference index (PPDI), a simple, nontechnical yet robust tool for examining the instructional sensitivity of assessment items. Extension educators often design pretest-posttest instruments to assess the impact of their curricula on participants' knowledge and understanding of the…

Understanding Public Engagement in Water Conservation Behaviors and Knowledge of Water Policy: Promising Hints for Extension

ERIC Educational Resources Information Center

Huang, Pei-wen; Lamm, Alexa J.

2015-01-01

Sustaining water resources is a primary issue facing Florida Extension. The study reported here identified how experience with water issues and familiarity with water policies affected individuals' engagement in water conservation behaviors. A public opinion survey was conducted online to capture Florida residents' responses. The findings…

Sull'Integrazione delle Strutture Numeriche nella Scuola dell'Obbligo (Integrating Numerical Structures in Mandatory School).

ERIC Educational Resources Information Center

Bonotto, C.

1995-01-01

Attempted to verify knowledge regarding decimal and rational numbers in children ages 10-14. Discusses how pupils can receive and assimilate extensions of the number system from natural numbers to decimals and fractions and later can integrate this extension into a single and coherent numerical structure. (Author/MKR)

One Year of Extensive Reading on Mobile Devices: Engagement and Impressions

ERIC Educational Resources Information Center

Milliner, Brett; Cote, Travis

2015-01-01

Extensive Reading (ER) is a popular strategy to improve reading fluency, vocabulary knowledge and reading confidence. The process of ER, traditionally done with paperbacks, is a practice being transformed by smartphone technology. This paper introduces Xreading® (www.xreading.com), an online Graded Reader (GR) library and Learning Management…

Interactive Whiteboards: A New Tool for Extension Education

ERIC Educational Resources Information Center

Schroeder, Mary M.; Burns, Connie S.; Reicks, Marla M.

2011-01-01

Use of interactive whiteboards (IWBs) in school classrooms and conference rooms is increasing. To evaluate the effectiveness of IWBs as a tool for Extension education, two groups of 3rd and 4th grade Minnesota students (n=325) were taught nutrition using traditional methods or IWBs. Significant increases in knowledge and behavior were observed in…

Evaluation of On-Farm Food Safety Programming in Pennsylvania: Implications for Extension

ERIC Educational Resources Information Center

Nayak, Roshan; Tobin, Daniel; Thomson, Joan; Radhakrishna, Rama; LaBorde, Luke

2015-01-01

Penn State Extension conducted on-farm food safety workshops statewide to train fruit and vegetable growers on Good Agricultural Practices (GAPs). These workshops were evaluated using pre- and post-tests to assess the impact of the training on participating growers. Results indicate overall increases in produce growers' knowledge, attitudes,…

Does Extensive Reading Promote Reading Speed?

ERIC Educational Resources Information Center

He, Mu

2014-01-01

Research has shown a wide range of learning benefits accruing from extensive reading. Not only is there improvement in reading, but also in a wide range of language uses and areas of language knowledge. However, few research studies have examined reading speed. The existing literature on reading speed focused on students' reading speed without…

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

Hansen, Frank; Popp, Till; Wieczorek, Klaus

The purposes of this paper are to review the vast amount of knowledge concerning crushed salt reconsolidation and its attendant hydraulic properties (i.e., its capability for fluid or gas transport) and to provide a sufficient basis to understand reconsolidation and healing rates under repository conditions. Topics covered include: deformation mechanisms and hydro-mechanical interactions during reconsolidation; the experimental data base pertaining to crushed salt reconsolidation; transport properties of consolidating granulated salt and provides quantitative substantiation of its evolution to characteristics emulating undisturbed rock salt; and extension of microscopic and laboratory observations and data to the applicable field scale.

Deciphering skeletal patterning: clues from the limb.

PubMed

Mariani, Francesca V; Martin, Gail R

2003-05-15

Even young children can distinguish a Tyrannosaurus rex from a Brontosaurus by observing differences in bone size, shape, number and arrangement, that is, skeletal pattern. But despite our extensive knowledge about cartilage and bone formation per se, it is still largely a mystery how skeletal pattern is established. Much of what we do know has been learned from studying limb development in chicken and mouse embryos. Based on the data from such studies, models for how limb skeletal pattern is established have been proposed and continue to be hotly debated.

Hi, Hokusai!

NASA Image and Video Library

2017-12-08

This dramatic image features Hokusai in the foreground, famous for its extensive set of rays, some of which extend for over a thousand kilometers across Mercury's surface. The extensive, bright rays indicate that Hokusai is one of the youngest large craters on Mercury. Check out previously featured images to see high-resolution details of its central peaks, rim and ejecta blanket, and impact melt on its floor. This image was acquired as part of MDIS's high-incidence-angle base map. The high-incidence-angle base map complements the surface morphology base map of MESSENGER's primary mission that was acquired under generally more moderate incidence angles. High incidence angles, achieved when the Sun is near the horizon, result in long shadows that accentuate the small-scale topography of geologic features. The high-incidence-angle base map was acquired with an average resolution of 200 meters/pixel. The MESSENGER spacecraft is the first ever to orbit the planet Mercury, and the spacecraft's seven scientific instruments and radio science investigation are unraveling the history and evolution of the Solar System's innermost planet. During the first two years of orbital operations, MESSENGER acquired over 150,000 images and extensive other data sets. MESSENGER is capable of continuing orbital operations until early 2015. Credit: NASA/Johns Hopkins University Applied Physics Laboratory/Carnegie Institution of Washington NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

Fun During Knee Rehabilitation: Feasibility and Acceptability Testing of a New Android-Based Training Device

PubMed Central

Weber-Spickschen, Thomas Sanjay; Colcuc, Christian; Hanke, Alexander; Clausen, Jan-Dierk; James, Paul Abraham; Horstmann, Hauke

2017-01-01

Purpose: The initial goals of rehabilitation after knee injuries and operations are to achieve full knee extension and to activate quadriceps muscle. In addition to regular physiotherapy, an android-based knee training device is designed to help patients achieve these goals and improve compliance in the early rehabilitation period. This knee training device combines fun in a computer game with muscular training or rehabilitation. Our aim was to test the feasibility and acceptability of this new device. Methods: 50 volunteered subjects enrolled to test out the computer game aided device. The first game was the high-striker game, which recorded maximum knee extension power. The second game involved controlling quadriceps muscular power to simulate flying an aeroplane in order to record accuracy of muscle activation. The subjects evaluated this game by completing a simple questionnaire. Results: No technical problem was encountered during the usage of this device. No subjects complained of any discomfort after using this device. Measurements including maximum knee extension power, knee muscle activation and control were recorded successfully. Subjects rated their experience with the device as either excellent or very good and agreed that the device can motivate and monitor the progress of knee rehabilitation training. Conclusion: To the best of our knowledge, this is the first android-based tool available to fast track knee rehabilitation training. All subjects gave very positive feedback to this computer game aided knee device. PMID:29081870

77 FR 65631 - Retrospective Review Under E.O. 13563: Seamen's Claims; Admiralty Extension Act Claims; and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-10-30

... and all other penalty provisions for making false, fictitious, or fraudulent claims, statements or...'s knowledge, information, and belief. If the person's signature does not include the first name... the claimant's knowledge, information, and belief. If the person's signature does not include the...

HALTER: Using Horsequest as a Training Tool

ERIC Educational Resources Information Center

Bailey, Elaine Long; Waite, Karen; Wilson, Kristen M.

2013-01-01

Youth organizations, such as 4-H, need dedicated, knowledgeable adult volunteer leaders. Oftentimes, adults are intimidated to work with youth, either because of questionable understanding of youngsters or due to limited subject knowledge. This is particularly true with volunteers for youth horse organizations. The eXtension HorseQuest CoP…

Long-Term Phonological Knowledge Supports Serial Ordering in Working Memory

ERIC Educational Resources Information Center

Nakayama, Masataka; Tanida, Yuki; Saito, Satoru

2015-01-01

Serial ordering mechanisms have been investigated extensively in psychology and psycholinguistics. It has also been demonstrated repeatedly that long-term phonological knowledge contributes to serial ordering. However, the mechanisms that contribute to serial ordering have yet to be fully understood. To understand these mechanisms, we demonstrate…

Maya Traditional Knowledge: Preserving Forests in Guatemala.

ERIC Educational Resources Information Center

Bernstein, Jacob

1996-01-01

In the mountains of western Guatemala, Maya K'iche communities draw on extensive indigenous knowledge of the local ecosystem to manage sections of forest allocated as community responsibility for generations. Supported by spiritual beliefs, community elders seek to guide the use and preservation of the forest despite illegal loggers, corrupt…

Chemistry and Education

ERIC Educational Resources Information Center

Rowland, Sherwood F.

2004-01-01

The ACS (American Chemical Society) plays a major role in the facilitation of the teaching of established knowledge, the extension of this knowledge and public service, which become even more important because they are embedded in society highly dependent in its daily activities on the fruits of science and technology. The president of the ACS and…

Online Formative Assessments with Social Network Awareness

ERIC Educational Resources Information Center

Lin, Jian-Wei; Lai, Yuan-Cheng

2013-01-01

Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…

Counselor Beliefs and Perceived Knowledge Regarding Clients with Learning Disabilities

ERIC Educational Resources Information Center

Bell, Tamekia R.

2012-01-01

Clients with learning disabilities constitute a cultural group that has not been extensively studied. The professional literature has found that counselors have reported the need for additional training in working with clients with disabilities. This study explored counselors' beliefs and perceived knowledge regarding counseling clients with…

Systems of Knowledge Organization for Digital Libraries: Beyond Traditional Authority Files.

ERIC Educational Resources Information Center

Hodge, Gail

This report provides an overview of knowledge organization systems (KOSs) and includes pertinent examples of their application to digital materials, offering extensive practical information for institutions embarking on digital library initiatives. The first section of the report defines the general characteristics of KOSs, with emphasis on their…

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.

Evaluating the effectiveness of a radiation safety training intervention for oncology nurses: a pretest-intervention-posttest study.

PubMed

Dauer, Lawrence T; Kelvin, Joanne F; Horan, Christopher L; St Germain, Jean

2006-06-08

Radiation, for either diagnosis or treatment, is used extensively in the field of oncology. An understanding of oncology radiation safety principles and how to apply them in practice is critical for nursing practice. Misconceptions about radiation are common, resulting in undue fears and concerns that may negatively impact patient care. Effectively educating nurses to help overcome these misconceptions is a challenge. Historically, radiation safety training programs for oncology nurses have been compliance-based and behavioral in philosophy. A new radiation safety training initiative was developed for Memorial Sloan-Kettering Cancer Center (MSKCC) adapting elements of current adult education theories to address common misconceptions and to enhance knowledge. A research design for evaluating the revised training program was also developed to assess whether the revised training program resulted in a measurable and/or statistically significant change in the knowledge or attitudes of nurses toward working with radiation. An evaluation research design based on a conceptual framework for measuring knowledge and attitude was developed and implemented using a pretest-intervention-posttest approach for 15% of the study population of 750 inpatient registered oncology nurses. As a result of the intervention program, there was a significant difference in nurse's cognitive knowledge as measured with the test instrument from pretest (58.9%) to posttest (71.6%). The evaluation also demonstrated that while positive nursing attitudes increased, the increase was significant for only 5 out of 9 of the areas evaluated. The training intervention was effective for increasing cognitive knowledge, but was less effective at improving overall attitudes. This evaluation provided insights into the effectiveness of training interventions on the radiation safety knowledge and attitude of oncology nurses.

Evaluating the effectiveness of a radiation safety training intervention for oncology nurses: a pretest – intervention – posttest study

PubMed Central

Dauer, Lawrence T; Kelvin, Joanne F; Horan, Christopher L; St Germain, Jean

2006-01-01

Background Radiation, for either diagnosis or treatment, is used extensively in the field of oncology. An understanding of oncology radiation safety principles and how to apply them in practice is critical for nursing practice. Misconceptions about radiation are common, resulting in undue fears and concerns that may negatively impact patient care. Effectively educating nurses to help overcome these misconceptions is a challenge. Historically, radiation safety training programs for oncology nurses have been compliance-based and behavioral in philosophy. Methods A new radiation safety training initiative was developed for Memorial Sloan-Kettering Cancer Center (MSKCC) adapting elements of current adult education theories to address common misconceptions and to enhance knowledge. A research design for evaluating the revised training program was also developed to assess whether the revised training program resulted in a measurable and/or statistically significant change in the knowledge or attitudes of nurses toward working with radiation. An evaluation research design based on a conceptual framework for measuring knowledge and attitude was developed and implemented using a pretest-intervention-posttest approach for 15% of the study population of 750 inpatient registered oncology nurses. Results As a result of the intervention program, there was a significant difference in nurse's cognitive knowledge as measured with the test instrument from pretest (58.9%) to posttest (71.6%). The evaluation also demonstrated that while positive nursing attitudes increased, the increase was significant for only 5 out of 9 of the areas evaluated. Conclusion The training intervention was effective for increasing cognitive knowledge, but was less effective at improving overall attitudes. This evaluation provided insights into the effectiveness of training interventions on the radiation safety knowledge and attitude of oncology nurses. PMID:16762060

Fuzzy-based propagation of prior knowledge to improve large-scale image analysis pipelines

PubMed Central

Mikut, Ralf

2017-01-01

Many automatically analyzable scientific questions are well-posed and a variety of information about expected outcomes is available a priori. Although often neglected, this prior knowledge can be systematically exploited to make automated analysis operations sensitive to a desired phenomenon or to evaluate extracted content with respect to this prior knowledge. For instance, the performance of processing operators can be greatly enhanced by a more focused detection strategy and by direct information about the ambiguity inherent in the extracted data. We present a new concept that increases the result quality awareness of image analysis operators by estimating and distributing the degree of uncertainty involved in their output based on prior knowledge. This allows the use of simple processing operators that are suitable for analyzing large-scale spatiotemporal (3D+t) microscopy images without compromising result quality. On the foundation of fuzzy set theory, we transform available prior knowledge into a mathematical representation and extensively use it to enhance the result quality of various processing operators. These concepts are illustrated on a typical bioimage analysis pipeline comprised of seed point detection, segmentation, multiview fusion and tracking. The functionality of the proposed approach is further validated on a comprehensive simulated 3D+t benchmark data set that mimics embryonic development and on large-scale light-sheet microscopy data of a zebrafish embryo. The general concept introduced in this contribution represents a new approach to efficiently exploit prior knowledge to improve the result quality of image analysis pipelines. The generality of the concept makes it applicable to practically any field with processing strategies that are arranged as linear pipelines. The automated analysis of terabyte-scale microscopy data will especially benefit from sophisticated and efficient algorithms that enable a quantitative and fast readout. PMID:29095927

Determination of the state-of-charge in leadacid batteries by means of a reference cell

NASA Astrophysics Data System (ADS)

Armenta, C.

A knowledge of the state-of-charge of any battery is an essential requirement for system energy management and for battery life extension. In photovoltaic power plants and stand-alone photovoltaic installations, a knowledge of the state-of-charge helps one to predict remaining energy, to determine time remaining before battery turndown, and to avoid failures during operation. A reliable method of predicting the state-of-charge will allow reduced installation costs because less reserve capacity is needed to guarantee a reliable energy supply. We propose an on-line method based on simple electrical measurements combined with a new electrolyte agitation technique which avoids systematic control of the battery state-of-charge. The method is very accurate and reduces the standard error in the state-of-charge prediction.

Unlocking the black box: teaching mathematical modeling with popular culture.

PubMed

Lofgren, Eric T

2016-10-01

Mathematical modeling is an important tool in biological research, allowing for the synthesis of results from many studies into an understanding of a system. Despite this, the need for extensive subject matter knowledge and complex mathematics often leaves modeling as an esoteric subspecialty. A 2-fold approach can be used to make modeling more approachable for students and those interested in obtaining a functional knowledge of modeling. The first is the use of a popular culture disease system-a zombie epidemic-to allow for exploration of the concepts of modeling using a flexible framework. The second is the use of available interactive and non-calculus-based tools to allow students to work with and implement models to cement their understanding. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Parallel processing for scientific computations

NASA Technical Reports Server (NTRS)

Alkhatib, Hasan S.

1991-01-01

The main contribution of the effort in the last two years is the introduction of the MOPPS system. After doing extensive literature search, we introduced the system which is described next. MOPPS employs a new solution to the problem of managing programs which solve scientific and engineering applications on a distributed processing environment. Autonomous computers cooperate efficiently in solving large scientific problems with this solution. MOPPS has the advantage of not assuming the presence of any particular network topology or configuration, computer architecture, or operating system. It imposes little overhead on network and processor resources while efficiently managing programs concurrently. The core of MOPPS is an intelligent program manager that builds a knowledge base of the execution performance of the parallel programs it is managing under various conditions. The manager applies this knowledge to improve the performance of future runs. The program manager learns from experience.

Effects of a Stretching Development and Maintenance Program on Hamstring Extensibility in Schoolchildren: A Cluster-Randomized Controlled Trial

PubMed Central

Mayorga-Vega, Daniel; Merino-Marban, Rafael; Manzano-Lagunas, Jorge; Blanco, Humberto; Viciana, Jesús

2016-01-01

The main purpose of the present study was to examine the effects of a physical education-based stretching development and maintenance program on hamstring extensibility in schoolchildren. A sample of 150 schoolchildren aged 7-10 years old from a primary school participated in the present study (140 participants were finally included). The six classes balanced by grade were cluster randomly assigned to the experimental group 1 (n = 51), experimental group 2 (n = 51) or control group (n = 49) (i.e., a cluster randomized controlled trial design was used). During the physical education classes, the students from the experimental groups 1 and 2 performed a four-minute stretching program twice a week for nine weeks (first semester). Then, after a five-week period of detraining coinciding with the Christmas holidays, the students from the experimental groups 1 and 2 completed another stretching program twice a week for eleven weeks (second semester). The students from the experimental group 1 continued performing the stretching program for four minutes while those from the experimental group 2 completed a flexibility maintenance program for only one minute. The results of the two-way analysis of variance showed that the physical education-based stretching development program significantly improved the students’ hamstring extensibility (p < 0.001), as well as that these gains obtained remained after the stretching maintenance program (p < 0.001). Additionally, statistically significant differences between the two experimental groups were not found (p > 0.05). After a short-term stretching development program, a physical education-based stretching maintenance program of only one-minute sessions twice a week is effective in maintaining hamstring extensibility among schoolchildren. This knowledge could help and guide teachers to design programs that allow a feasible and effective development and maintenance of students’ flexibility in the physical education setting. Key points A physical education-based stretching maintenance program of only one-minute sessions twice a week is effective in maintaining hamstring extensibility among schoolchildren. A four-minute maintenance program shows similar effects that the one-minute maintenance program on hamstring extensibility among schoolchildren. Physical education teachers and other practitioners could carry out one-minute programs for a feasible and effective maintenance of students’ flexibility. PMID:26957928

Development of a questionnaire to measure heart disease risk knowledge in people with diabetes: the Heart Disease Fact Questionnaire.

PubMed

Wagner, Julie; Lacey, Kimberly; Chyun, Deborah; Abbott, Gina

2005-07-01

This paper describes a paper and pencil questionnaire that measures heart disease risk knowledge in people with diabetes. The Heart Disease Fact Questionnaire (HDFQ) is a 25-item questionnaire that was developed to tap into respondents' knowledge of major risk factors for the development of CHD. Approximately half of these items specifically address diabetes-related CHD risk factors. Based on extensive pilot data, the current study analyzed responses from 524 people with diabetes to assess the psychometric properties. The HDFQ is readable to an average 13-year old and imposes little burden. It shows good content and face validity. It demonstrates adequate internal consistency, with Kuder-Richardson-20 formula = 0.77 and good item-total correlations. Item analysis showed a desirable range in P-values. In discriminant function analyses, HDFQ scores differentiated respondents by knowledge of their own cardiovascular health, use of lipid lowering medications, health insurance status, and educational attainment, thus indicating good criterion related validity. This measure of heart disease risk knowledge is brief, understandable to respondents, and easy to administer and score. Its potential for use in research and practice is discussed. Future research should establish norms as well as investigate its test-retest reliability and predictive validity.

Developing an online certification program for nutrition education assistants.

PubMed

Christofferson, Debra; Christensen, Nedra; LeBlanc, Heidi; Bunch, Megan

2012-01-01

To develop an online certification program for nutrition education paraprofessionals to increase knowledge and confidence and to overcome training barriers of programming time and travel expenses. An online interactive certification course based on Supplemental Nutrition Assistance Program-Education and Expanded Food and Nutrition Education Program core competencies was delivered to employees of both programs. Traditional vs online training was compared. Course content validity was determined through expert review by registered dietitians. Parameters studied included increase of nutrition knowledge and teaching technique/ability, educator satisfaction, and programming costs related to training. Utah State University Extension. Twenty-two Supplemental Nutrition Assistance Program-Education and Expanded Food and Nutrition Education Program educators in Utah. Knowledge and skills were measured using pre/posttest statistics. Participant satisfaction was measured with a survey. Paired t test; satisfaction survey. The change in paraprofessional knowledge score was statistically significant (P < .001). Forty percent of paraprofessionals strongly agreed and 60% agreed they were better prepared as nutrition educators because of the training. An estimated $16,000 was saved by providing the training online as compared to a face-to-face training. This interactive online program is a cost-effective way to increase paraprofessional knowledge and job satisfaction. Copyright © 2012 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

Knowledge and Attitude of Dental Health Professionals about Middle East Respiratory Syndrome in Saudi Arabia

PubMed Central

Althomairy, Sameer Abdullah; Baseer, Mohammad Abdul; Assery, Mansour; Alsaffan, Abdulrahman Dahham

2018-01-01

Aim and Objective: This study aims to evaluate the knowledge and attitude of practicing dental health professionals (DHPs) (dentist and dental auxiliaries) toward Middle East Respiratory Syndrome coronavirus (MERS-CoV) in Saudi Arabia. Materials and Methods: A cross-sectional descriptive study was undertaken among practicing DHPs in Saudi Arabia. A total of 202 DHPs participated in this study. Knowledge and attitude were assessed using self-administered and pretested questionnaire. The questionnaire was administered online through Survey Monkey® program by sending link to the registered E-mail. Descriptive statistics were performed on demographic data. Mean knowledge and mean attitude scores of DHPs were calculated. Mann–Whitney U-test and Kruskal–Wallis tests were used to disclose the differences between study variables. Chi-square tests and Spearman's correlation tests were applied to find the associations between the variables. Results: The study participants showed mean knowledge score of 12.26 ± 2.27 (based on 17 knowledge questions) and attitude score of 8.63 ± 1.68 (based on 10 attitude questions). The spearman's test showed the positive correlation between knowledge and attitude of DHPs about MERS (r = 0.093, P = 0.188). Knowledge gaps were reflected in questions related to the duration of infectivity (47.5%), treatment of MERS (39.6%), reservoir of MERS-CoV (38.1%), availability of vaccination against MERS-CoV (25.2%), the likelihood of infection (24.3%), and the type of MERS-CoV (23.3%). DHPs showed a positive attitude toward adherence to universal precautions given by CDC and WHO (0.94 ± 0.25), active participation infection control program (0.94 ± 0.24), and use of gowns, gloves, mask, and goggles while dealing with MERS-CoV patients (0.97 ± 0.17). Male DHPs showed significantly higher knowledge and positive attitude toward MERS-CoV infection compared to females. Conclusion: DHPs participated in this study showed good knowledge and positive attitude toward MERS. However, still few lacunae in the knowledge and attitudes toward MERS-CoV were found requiring extensive educational programs. PMID:29780739

Knowledge of diabetes mellitus among pregnant women in three districts of Nepal.

PubMed

Shrestha, S; Thapa, P; Saleh, F; Thapa, N; Stray, B Pedersen; Khanom, K

2013-09-01

Diabetes mellitus is an emerging health problem in developing world with the consumption of energy dense diet and inactive lifestyle. The problem of diabetes is further expanded due to ignorance and lack of knowledge. The aim of the study was to assess the knowledge of diabetes among pregnant women in three districts of Nepal. A community based cross-sectional study was conducted in three districts in mountain, hilly and plain areas of Nepal. A total of 590 pregnant women were interviewed during the period of July 2009 to June 2010. A knowledge score system was applied. Poor score was <40%, average (40-60%) and good (>60%) of the total score. Statistical software SPSS 11.5 was used for data entry, data management and analysis. Out of 590 pregnant women, only 41% had heard about diabetes mellitus. Majority of the participants (75%) from age group >30 years had not heard about diabetes. Among the 241 with some knowledge, the knowledge score median percent(range) on the meaning, symptoms, risk factors, treatment, prevention, complications and overall knowledge were 50%(0-100), 25% (0-75), 20% (0-60), 20% (0-100), 25% (0-100), 20% (0-60) and 26% (0- 58) respectively. According to defined category, majority of those who ever heard about diabetes had poor knowledge (95%). Knowledge among literate women (p=.001), women residing in Kailali district (plain region) (p=.003) and those with positive family history of diabetes (p=.003) was found to be significant. As large proportions of Nepalese pregnant women do not have any knowledge or have poor knowledge regarding diabetes, extensive health education and health promotion programs are urgently recommended to prevent diabetes in Nepal.

Epistemological beliefs of physics undergraduate and graduate students and faculty in the context of a well-structured and an ill-structured problem

NASA Astrophysics Data System (ADS)

Mercan, Fatih C.

This study examines epistemological beliefs of physics undergraduate and graduate students and faculty in the context of solving a well-structured and an ill-structured problem. The data collection consisted of a think aloud problem solving session followed by a semi-structured interview conducted with 50 participants, 10 participants at freshmen, seniors, masters, PhD, and faculty levels. The data analysis involved (a) identification of the range of beliefs about knowledge in the context of the well-structured and the ill-structured problem solving, (b) construction of a framework that unites the individual beliefs identified in each problem context under the same conceptual base, and (c) comparisons of the problem contexts and expertise level groups using the framework. The results of the comparison of the contexts of the well-structured and the ill-structured problem showed that (a) authoritative beliefs about knowledge were expressed in the well-structured problem context, (b) relativistic and religious beliefs about knowledge were expressed in the ill-structured problem context, and (c) rational, empirical, modeling beliefs about knowledge were expressed in both problem contexts. The results of the comparison of the expertise level groups showed that (a) undergraduates expressed authoritative beliefs about knowledge more than graduate students and faculty did not express authoritative beliefs, (b) faculty expressed modeling beliefs about knowledge more than graduate students and undergraduates did not express modeling beliefs, and (c) there were no differences in rational, empirical, experiential, relativistic, and religious beliefs about knowledge among the expertise level groups. As the expertise level increased the number of participants who expressed authoritative beliefs about knowledge decreased and the number of participants who expressed modeling based beliefs about knowledge increased. The results of this study implied that existing developmental and cognitive models of personal epistemology can explain personal epistemology in physics to a limited extent, however, these models cannot adequately account for the variation of epistemological beliefs across problem contexts. Modeling beliefs about knowledge emerged as a part of personal epistemology and an indicator of epistemological sophistication, which do not develop until extensive experience in the field. Based on these findings, the researcher recommended providing opportunities for practicing model construction for students.

Survival and Elimination of Hepatitis E Virus: A Review.

PubMed

Cook, Nigel; van der Poel, Wim H M

2015-09-01

Recently, foodborne transmission of hepatitis E virus (HEV) has become a concern due to the identification of undercooked pork products as a risk factor for infection. The limited number of studies which have been performed indicate that HEV could remain infectious at temperatures used in some cooking regimes, although inactivation by heating at 71 °C for 20 min has been demonstrated. There are significant gaps in our knowledge regarding the survival of HEV in foods and the environment (including food contact surfaces), and also regarding the effect of elimination procedures used in food supply chain settings. The lack of a reliable infectivity assay has hampered extensive study. It is recommended that studies be undertaken to develop an efficient propagation system (based on in vitro cell culture), to facilitate the acquisition of extensive information on the survival of HEV in food and the environment, and its response to disinfection and elimination procedures.

Advanced Practice Nursing in Pediatric Urology: experience report in the Federal District.

PubMed

Souza, Bruna Marcela Lima de; Salviano, Cristiane Feitosa; Martins, Gisele

2018-01-01

To describe the creation and implementation of the extension program Advanced Practice Nursing in Pediatric Urology, developed in the outpatient clinic of a teaching hospital in the Federal District. This is an experience report regarding the implementation of an outpatient service aimed at children and adolescents with symptoms of bladder and bowel dysfunction. Because it is an extension program linked to the university, it follows a different model of care, valuing empowerment, informed and shared decision making, which results in a stronger bond between patients, family and the Pediatric Urology nursing team. It has also become a privileged space for the production and use of scientific knowledge, associated with the principles of evidence-based practice. This project shows a different performance of the nurse-specialist-professor-researcher in Pediatric Urology Nursing, and it has become a reference in the Federal District, mainly for undergraduate and graduate nursing students.

Assessing Teachers' Science Content Knowledge: A Strategy for Assessing Depth of Understanding

NASA Astrophysics Data System (ADS)

McConnell, Tom J.; Parker, Joyce M.; Eberhardt, Jan

2013-06-01

One of the characteristics of effective science teachers is a deep understanding of science concepts. The ability to identify, explain and apply concepts is critical in designing, delivering and assessing instruction. Because some teachers have not completed extensive courses in some areas of science, especially in middle and elementary grades, many professional development programs attempt to strengthen teachers' content knowledge. Assessing this content knowledge is challenging. Concept inventories are reliable and efficient, but do not reveal depth of knowledge. Interviews and observations are time-consuming. The Problem Based Learning Project for Teachers implemented a strategy that includes pre-post instruments in eight content strands that permits blind coding of responses and comparison across teachers and groups of teachers. The instruments include two types of open-ended questions that assess both general knowledge and the ability to apply Big Ideas related to specific science topics. The coding scheme is useful in revealing patterns in prior knowledge and learning, and identifying ideas that are challenging or not addressed by learning activities. The strengths and limitations of the scoring scheme are identified through comparison of the findings to case studies of four participating teachers from middle and elementary schools. The cases include examples of coded pre- and post-test responses to illustrate some of the themes seen in teacher learning. The findings raise questions for future investigation that can be conducted using analyses of the coded responses.

Towards a decision support system for hand dermatology.

PubMed

Mazzola, Luca; Cavazzina, Alice; Pinciroli, Francesco; Bonacina, Stefano; Pigatto, Paolo; Ayala, Fabio; De Pità, Ornella; Marceglia, Sara

2014-01-01

The complexity of the medical diagnosis is faced by practitioners relying mainly on their experiences. This can be acquired during daily practices and on-the-job training. Given the complexity and extensiveness of the subject, supporting tools that include knowledge extracted by highly specialized practitioners can be valuable. In the present work, a Decision Support System (DSS) for hand dermatology was developed based on data coming from a Visit Report Form (VRF). Using a Bayesian approach and factors significance difference over the population average for the case, we demonstrated the potentiality of creating an enhanced VRF that include a diagnoses distribution probability based on the DSS rules applied for the specific patient situation.

Preliminary assessment of the robustness of dynamic inversion based flight control laws

NASA Technical Reports Server (NTRS)

Snell, S. A.

1992-01-01

Dynamic-inversion-based flight control laws present an attractive alternative to conventional gain-scheduled designs for high angle-of-attack maneuvering, where nonlinearities dominate the dynamics. Dynamic inversion is easily applied to the aircraft dynamics requiring a knowledge of the nonlinear equations of motion alone, rather than an extensive set of linearizations. However, the robustness properties of the dynamic inversion are questionable especially when considering the uncertainties involved with the aerodynamic database during post-stall flight. This paper presents a simple analysis and some preliminary results of simulations with a perturbed database. It is shown that incorporating integrators into the control loops helps to improve the performance in the presence of these perturbations.

The BioHub Knowledge Base: Ontology and Repository for Sustainable Biosourcing.

PubMed

Read, Warren J; Demetriou, George; Nenadic, Goran; Ruddock, Noel; Stevens, Robert; Winter, Jerry

2016-06-01

The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources such as fossil oil and its derivatives. The BioHubKB is the data repository of the IKMS; it employs Semantic Web technologies, especially OWL, to host data about chemical transformations, bio-renewable feedstocks, co-product streams and their chemical components. Access to this knowledge base is provided to other modules within the IKMS through a set of RESTful web services, driven by SPARQL queries to a Sesame back-end. The BioHubKB re-uses several bio-ontologies and bespoke extensions, primarily for chemical feedstocks and products, to form its knowledge organisation schema. Parts of plants form feedstocks, while various processes generate co-product streams that contain certain chemicals. Both chemicals and transformations are associated with certain qualities, which the BioHubKB also attempts to capture. Of immediate commercial and industrial importance is to estimate the cost of particular sets of chemical transformations (leading to candidate surfactants) performed in sequence, and these costs too are captured. Data are sourced from companies' internal knowledge and document stores, and from the publicly available literature. Both text analytics and manual curation play their part in populating the ontology. We describe the prototype IKMS, the BioHubKB and the services that it supports for the IKMS. The BioHubKB can be found via http://biohub.cs.manchester.ac.uk/ontology/biohub-kb.owl .

Maternal and Neonatal Health Knowledge, Service Quality and Utilization: Findings from a Community Based Quasi-experimental Trial in Arghakhanchi District of Nepal.

PubMed

Shrestha, J R; Manandhar, D S; Manandhar, S R; Adhikari, D; Rai, C; Rana, H; Poudel, M; Pradhan, A

2015-01-01

As part of the Partnership for Maternal and Newborn Health Project (PMNH), HealthRight International collaborated with Mother and Infant Research Activities (MIRA) to conduct operations research in Arghakhanchi district of Nepal to explore the intervention impact of strengthening health facility, improving community facility linkages along with Community Based Newborn Care Program (CB-NCP) on Maternal Neonatal Care (MNC) service quality, utilization, knowledge and care seeking behavior. This was a quasi-experimental study. Siddahara, Pokharathok, Subarnakhal,Narpani Health Posts (HPs) and Thada Primary Health Care Center(PHCC)in Electoral Constituency-2 were selected as intervention sites and Arghatosh, ,Argha, Khana, Hansapur HPs and Balkot PHCC in Electoral Constituency-1 were chosen as controls. The intervention started in February 2011 and was evaluated in August 2013. To compare MNC knowledge and practice in the community, mothers of children aged 0-23 months were selected from the corresponding Village Development Committees(VDCs) by a two stage cluster sampling design during both baseline (July 2010) and endline (August, 2013) assessments. The difference in difference analysis was used to understand the intervention impact. Local resource mobilization for MNC, knowledge about MNC and service utilization increased in intervention sites. Though there were improvements, many effects were not significant. Extensive trainings followed by reviews and quality monitoring visits increased the knowledge, improved skills and fostered motivation of health facility workers for better MNC service delivery. MNC indicators showed an upsurge in numbers due to the synergistic effects of many interventions.

A blended-learning programme regarding professional ethics in physiotherapy students.

PubMed

Aguilar-Rodríguez, Marta; Marques-Sule, Elena; Serra-Añó, Pilar; Espí-López, Gemma Victoria; Dueñas-Moscardó, Lirios; Pérez-Alenda, Sofía

2018-01-01

In the university context, assessing students' attitude, knowledge and opinions when applying an innovative methodological approach to teach professional ethics becomes fundamental to know if the used approach is enough motivating for students. To assess the effect of a blended-learning model, based on professional ethics and related to clinical practices, on physiotherapy students' attitude, knowledge and opinions towards learning professional ethics. Research design and participants: A simple-blind clinical trial was performed (NLM identifier NCT03241693) (control group, n = 64; experimental group, n = 65). Both groups followed clinical practices for 8 months. Control group performed a public exposition of a clinical case about professional ethics. By contrast, an 8-month blended-learning programme regarding professional ethics was worked out for experimental group. An online syllabus and online activities were elaborated, while face-to-face active participation techniques were performed to discuss ethical issues. Students' attitudes, knowledge and opinions towards learning professional ethics were assessed. Ethical considerations: The study was approved by the University Ethic Committee of Human Research and followed the ethical principles according to the Declaration of Helsinki. After the programme, attitudes and knowledge towards learning professional ethics of experimental group students significantly improved, while no differences were observed in control group. Moreover, opinions reported an adequate extension of themes and temporization, importance of clinical practices and interest of topics. Case study method and role playing were considered as the most helpful techniques. The blended-learning programme proposed, based on professional ethics and related to clinical practices, improves physiotherapy students' attitudes, knowledge and opinions towards learning professional ethics.

A bioinformatics approach for precision medicine off-label drug drug selection among triple negative breast cancer patients

PubMed Central

Cheng, Lijun; Schneider, Bryan P

2016-01-01

Background Cancer has been extensively characterized on the basis of genomics. The integration of genetic information about cancers with data on how the cancers respond to target based therapy to help to optimum cancer treatment. Objective The increasing usage of sequencing technology in cancer research and clinical practice has enormously advanced our understanding of cancer mechanisms. The cancer precision medicine is becoming a reality. Although off-label drug usage is a common practice in treating cancer, it suffers from the lack of knowledge base for proper cancer drug selections. This eminent need has become even more apparent considering the upcoming genomics data. Methods In this paper, a personalized medicine knowledge base is constructed by integrating various cancer drugs, drug-target database, and knowledge sources for the proper cancer drugs and their target selections. Based on the knowledge base, a bioinformatics approach for cancer drugs selection in precision medicine is developed. It integrates personal molecular profile data, including copy number variation, mutation, and gene expression. Results By analyzing the 85 triple negative breast cancer (TNBC) patient data in the Cancer Genome Altar, we have shown that 71.7% of the TNBC patients have FDA approved drug targets, and 51.7% of the patients have more than one drug target. Sixty-five drug targets are identified as TNBC treatment targets and 85 candidate drugs are recommended. Many existing TNBC candidate targets, such as Poly (ADP-Ribose) Polymerase 1 (PARP1), Cell division protein kinase 6 (CDK6), epidermal growth factor receptor, etc., were identified. On the other hand, we found some additional targets that are not yet fully investigated in the TNBC, such as Gamma-Glutamyl Hydrolase (GGH), Thymidylate Synthetase (TYMS), Protein Tyrosine Kinase 6 (PTK6), Topoisomerase (DNA) I, Mitochondrial (TOP1MT), Smoothened, Frizzled Class Receptor (SMO), etc. Our additional analysis of target and drug selection strategy is also fully supported by the drug screening data on TNBC cell lines in the Cancer Cell Line Encyclopedia. Conclusions The proposed bioinformatics approach lays a foundation for cancer precision medicine. It supplies much needed knowledge base for the off-label cancer drug usage in clinics. PMID:27107440

The Influence of an Extensive Inquiry-Based Field Experience on Pre-Service Elementary Student Teachers' Science Teaching Beliefs

NASA Astrophysics Data System (ADS)

Bhattacharyya, Sumita; Volk, Trudi; Lumpe, Andrew

2009-06-01

This study examined the effects of an extensive inquiry-based field experience on pre service elementary teachers’ personal agency beliefs, a composite measure of context beliefs and capability beliefs related to teaching science. The research combined quantitative and qualitative approaches and included an experimental group that utilized the inquiry method and a control group that used traditional teaching methods. Pre- and post-test scores for the experimental and control groups were compared. The context beliefs of both groups showed no significant change as a result of the experience. However, the control group’s capability belief scores, lower than those of the experimental group to start with, declined significantly; the experimental group’s scores remained unchanged. Thus, the inquiry-based field experience led to an increase in personal agency beliefs. The qualitative data suggested a new hypothesis that there is a spiral relationship among teachers’ ability to establish communicative relationships with students, desire for personal growth and improvement, ability to implement multiple instructional strategies, and possession of substantive content knowledge. The study concludes that inquiry-based student teaching should be encouraged in the training of elementary school science teachers. However, the meaning and practice of the inquiry method should be clearly delineated to ensure its correct implementation in the classroom.

Goal-Based Domain Modeling as a Basis for Cross-Disciplinary Systems Engineering

NASA Astrophysics Data System (ADS)

Jarke, Matthias; Nissen, Hans W.; Rose, Thomas; Schmitz, Dominik

Small and medium-sized enterprises (SMEs) are important drivers for innovation. In particular, project-driven SMEs that closely cooperate with their customers have specific needs in regard to information engineering of their development process. They need a fast requirements capture since this is most often included in the (unpaid) offer development phase. At the same time, they need to maintain and reuse the knowledge and experiences they have gathered in previous projects extensively as it is their core asset. The situation is complicated further if the application field crosses disciplinary boundaries. To bridge the gaps and perspectives, we focus on shared goals and dependencies captured in models at a conceptual level. Such a model-based approach also offers a smarter connection to subsequent development stages, including a high share of automated code generation. In the approach presented here, the agent- and goal-oriented formalism i * is therefore extended by domain models to facilitate information organization. This extension permits a domain model-based similarity search, and a model-based transformation towards subsequent development stages. Our approach also addresses the evolution of domain models reflecting the experiences from completed projects. The approach is illustrated with a case study on software-intensive control systems in an SME of the automotive domain.

Changes in lower limb muscle function and muscle mass following exercise-based interventions in patients with chronic obstructive pulmonary disease: A review of the English-language literature.

PubMed

De Brandt, Jana; Spruit, Martijn A; Hansen, Dominique; Franssen, Frits Me; Derave, Wim; Sillen, Maurice Jh; Burtin, Chris

2018-05-01

Chronic obstructive pulmonary disease (COPD) patients often experience lower limb muscle dysfunction and wasting. Exercise-based training has potential to improve muscle function and mass, but literature on this topic is extensive and heterogeneous including numerous interventions and outcome measures. This review uses a detailed systematic approach to investigate the effect of this wide range of exercise-based interventions on muscle function and mass. PUBMED and PEDro databases were searched. In all, 70 studies ( n = 2504 COPD patients) that implemented an exercise-based intervention and reported muscle strength, endurance, or mass in clinically stable COPD patients were critically appraised. Aerobic and/or resistance training, high-intensity interval training, electrical or magnetic muscle stimulation, whole-body vibration, and water-based training were investigated. Muscle strength increased in 78%, muscle endurance in 92%, and muscle mass in 88% of the cases where that specific outcome was measured. Despite large heterogeneity in exercise-based interventions and outcome measures used, most exercise-based trials showed improvements in muscle strength, endurance, and mass in COPD patients. Which intervention(s) is (are) best for which subgroup of patients remains currently unknown. Furthermore, this literature review identifies gaps in the current knowledge and generates recommendations for future research to enhance our knowledge on exercise-based interventions in COPD patients.

Changes in lower limb muscle function and muscle mass following exercise-based interventions in patients with chronic obstructive pulmonary disease: A review of the English-language literature

PubMed Central

De Brandt, Jana; Spruit, Martijn A; Hansen, Dominique; Franssen, Frits ME; Derave, Wim; Sillen, Maurice JH; Burtin, Chris

2017-01-01

Chronic obstructive pulmonary disease (COPD) patients often experience lower limb muscle dysfunction and wasting. Exercise-based training has potential to improve muscle function and mass, but literature on this topic is extensive and heterogeneous including numerous interventions and outcome measures. This review uses a detailed systematic approach to investigate the effect of this wide range of exercise-based interventions on muscle function and mass. PUBMED and PEDro databases were searched. In all, 70 studies (n = 2504 COPD patients) that implemented an exercise-based intervention and reported muscle strength, endurance, or mass in clinically stable COPD patients were critically appraised. Aerobic and/or resistance training, high-intensity interval training, electrical or magnetic muscle stimulation, whole-body vibration, and water-based training were investigated. Muscle strength increased in 78%, muscle endurance in 92%, and muscle mass in 88% of the cases where that specific outcome was measured. Despite large heterogeneity in exercise-based interventions and outcome measures used, most exercise-based trials showed improvements in muscle strength, endurance, and mass in COPD patients. Which intervention(s) is (are) best for which subgroup of patients remains currently unknown. Furthermore, this literature review identifies gaps in the current knowledge and generates recommendations for future research to enhance our knowledge on exercise-based interventions in COPD patients. PMID:28580854

Healthcare professionals' hand hygiene knowledge and beliefs in the United Arab Emirates.

PubMed

Ng, Wai Khuan; Shaban, Ramon Z; van de Mortel, Thea

2017-05-01

Hand hygiene at key moments during patient care is considered an important infection prevention and control measure to reduce healthcare-associated infections. While there is extensive research in Western settings, there is little in the United Arab Emirates where particular cultural and religious customs are thought to influence hand hygiene behaviour. To examine the hand hygiene knowledge and beliefs of health professionals at a tertiary care hospital in the United Arab Emirates. A mixed methods design employed a survey followed by focus groups with nurses and doctors. A total of 109 participants (13.6%) completed the survey: 96 nurses (88%) and 13 doctors (12%). Doctors' hand hygiene knowledge was slightly higher than that of nurses (78.5% versus 73.5%). There was no significant difference in scores on the hand hygiene beliefs scale between nurses (M = 103.06; SD = 8.0) and doctors (M = 99.00; SD = 10.53; t (80) = 1.55; p = 0.13, two-tailed). Seven categories emerged following transcript analysis. Hand hygiene knowledge scores suggest further hand hygiene education is required, especially on alcohol-based hand rub use. Addressing doctors' beliefs is particularly important given the leadership roles that doctors play in healthcare settings.

Multijoint kinetic chain analysis of knee extension during the soccer instep kick.

PubMed

Naito, Kozo; Fukui, Yosuke; Maruyama, Takeo

2010-04-01

Although previous studies have shown that motion-dependent interactions between adjacent segments play an important role in producing knee extension during the soccer instep kick, detailed knowledge about the mechanisms underlying those interactions is lacking. The present study aimed to develop a 3-D dynamical model for the multijoint kinetic chain of the instep kick in order to quantify the contributions of the causal dynamical factors to the production of maximum angular velocity during knee extension. Nine collegiate soccer players volunteered to participate in the experiment and performed instep kicking movements while 3-D positional data and the ground reaction force were measured. A dynamical model was developed in the form of a linked system containing 8 segments and 18 joint rotations, and the knee extension/flexion motion was decomposed into causal factors related to muscular moment, gyroscopic moment, centrifugal force, Coriolis force, gravity, proximal endpoint linear acceleration, and external force-dependent terms. The rapid knee extension during instep kicking was found to result almost entirely from kicking leg centrifugal force, trunk rotation muscular moment, kicking leg Coriolis force, and trunk rotation gyroscopic-dependent components. Based on the finding that rapid knee extension during instep kicking stems from multiple dynamical factors, it is suggested that the multijoint kinetic chain analysis used in the present study is more useful for achieving a detailed understanding of the cause of rapid kicking leg movement than the previously used 2-D, two-segment kinetic chain model. The present results also indicated that the centrifugal effect due to the kicking hip flexion angular velocity contributed substantially to the generation of a rapid knee extension, suggesting that the adjustment between the kicking hip flexion angular velocity and the leg configuration (knee flexion angle) is more important for effective instep kicking than other joint kinematics.

Expert System Shells for Rapid Clinical Decision Support Module Development: An ESTA Demonstration of a Simple Rule-Based System for the Diagnosis of Vaginal Discharge

PubMed Central

2012-01-01

Objectives This study demonstrates the feasibility of using expert system shells for rapid clinical decision support module development. Methods A readily available expert system shell was used to build a simple rule-based system for the crude diagnosis of vaginal discharge. Pictures and 'canned text explanations' are extensively used throughout the program to enhance its intuitiveness and educational dimension. All the steps involved in developing the system are documented. Results The system runs under Microsoft Windows and is available as a free download at http://healthcybermap.org/vagdisch.zip (the distribution archive includes both the program's executable and the commented knowledge base source as a text document). The limitations of the demonstration system, such as the lack of provisions for assessing uncertainty or various degrees of severity of a sign or symptom, are discussed in detail. Ways of improving the system, such as porting it to the Web and packaging it as an app for smartphones and tablets, are also presented. Conclusions An easy-to-use expert system shell enables clinicians to rapidly become their own 'knowledge engineers' and develop concise evidence-based decision support modules of simple to moderate complexity, targeting clinical practitioners, medical and nursing students, as well as patients, their lay carers and the general public (where appropriate). In the spirit of the social Web, it is hoped that an online repository can be created to peer review, share and re-use knowledge base modules covering various clinical problems and algorithms, as a service to the clinical community. PMID:23346475

North Carolina Chefs Who Cultivate Restaurant Gardens: A Population with a Hunger for Extension Information

ERIC Educational Resources Information Center

Sommerfeld, Kelsie; Bruce, Jackie; Jayaratne, Jay; Chapman, Ben; Gunter, Chris

2016-01-01

As part of a larger study designed to explore the gardening practices and educational needs of North Carolina chefs who cultivate restaurant gardens, the chefs' desired areas of knowledge and preferences for delivery of educational material were identified. As a result, a plan for North Carolina Cooperative Extension to use in developing…

Production and Beyond: A Defining Moment for Public Sector Extension

ERIC Educational Resources Information Center

Rivera, William M.

2009-01-01

Two imperatives form the basis of the present paper. The first is the market-driven imperative, vital to production and value-chain development. The second is the knowledge imperative, central to the advancement of human capacity and institutional development. In view of these two imperatives, this paper argues for overhaul in extension toward a…

Extension's Capacity to Deliver Quality Early Childhood Professional Development

ERIC Educational Resources Information Center

Durden, Tonia R.; Mincemoyer, Claudia C.; Gerdes, Jennifer; Lodl, Kathleen

2013-01-01

In recent years much attention has focused on the role of enhancing a teacher's professional knowledge and skills in helping to improve the quality of early care experiences for young children birth-5. In the study reported here, an environmental scan of the early childhood professional development programs offered within the Extension system…

Productive Extension of Semantic Memory in School-Aged Children: Relations with Reading Comprehension and Deployment of Cognitive Resources

ERIC Educational Resources Information Center

Bauer, Patricia J.; Blue, Shala N.; Xu, Aoxiang; Esposito, Alena G.

2016-01-01

We investigated 7- to 10-year-old children's productive extension of semantic memory through self-generation of new factual knowledge derived through integration of separate yet related facts learned through instruction or through reading. In Experiment 1, an experimenter read the to-be-integrated facts. Children successfully learned and…

Model-Based Knowing: How Do Students Ground Their Understanding About Climate Systems in Agent-Based Computer Models?

NASA Astrophysics Data System (ADS)

Markauskaite, Lina; Kelly, Nick; Jacobson, Michael J.

2017-12-01

This paper gives a grounded cognition account of model-based learning of complex scientific knowledge related to socio-scientific issues, such as climate change. It draws on the results from a study of high school students learning about the carbon cycle through computational agent-based models and investigates two questions: First, how do students ground their understanding about the phenomenon when they learn and solve problems with computer models? Second, what are common sources of mistakes in students' reasoning with computer models? Results show that students ground their understanding in computer models in five ways: direct observation, straight abstraction, generalisation, conceptualisation, and extension. Students also incorporate into their reasoning their knowledge and experiences that extend beyond phenomena represented in the models, such as attitudes about unsustainable carbon emission rates, human agency, external events, and the nature of computational models. The most common difficulties of the students relate to seeing the modelled scientific phenomenon and connecting results from the observations with other experiences and understandings about the phenomenon in the outside world. An important contribution of this study is the constructed coding scheme for establishing different ways of grounding, which helps to understand some challenges that students encounter when they learn about complex phenomena with agent-based computer models.

Knowledge-Based Topic Model for Unsupervised Object Discovery and Localization.

PubMed

Niu, Zhenxing; Hua, Gang; Wang, Le; Gao, Xinbo

Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific , which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific , which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.

Human Disease Insight: An integrated knowledge-based platform for disease-gene-drug information.

PubMed

Tasleem, Munazzah; Ishrat, Romana; Islam, Asimul; Ahmad, Faizan; Hassan, Md Imtaiyaz

2016-01-01

The scope of the Human Disease Insight (HDI) database is not limited to researchers or physicians as it also provides basic information to non-professionals and creates disease awareness, thereby reducing the chances of patient suffering due to ignorance. HDI is a knowledge-based resource providing information on human diseases to both scientists and the general public. Here, our mission is to provide a comprehensive human disease database containing most of the available useful information, with extensive cross-referencing. HDI is a knowledge management system that acts as a central hub to access information about human diseases and associated drugs and genes. In addition, HDI contains well-classified bioinformatics tools with helpful descriptions. These integrated bioinformatics tools enable researchers to annotate disease-specific genes and perform protein analysis, search for biomarkers and identify potential vaccine candidates. Eventually, these tools will facilitate the analysis of disease-associated data. The HDI provides two types of search capabilities and includes provisions for downloading, uploading and searching disease/gene/drug-related information. The logistical design of the HDI allows for regular updating. The database is designed to work best with Mozilla Firefox and Google Chrome and is freely accessible at http://humandiseaseinsight.com. Copyright © 2015 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Ltd. All rights reserved.

Assessing the effectiveness of problem-based learning in physical diagnostics education in China: a meta-analysis

PubMed Central

Wang, Jianmiao; Xu, Yongjian; Liu, Xiansheng; Xiong, Weining; Xie, Jungang; Zhao, Jianping

2016-01-01

Problem-based learning (PBL) has been extensively applied as an experimental educational method in Chinese medical schools over the past decade. A meta-analysis was performed to assess the effectiveness of PBL on students’ learning outcomes in physical diagnostics education. Related databases were searched for eligible studies evaluating the effects of PBL compared to traditional teaching on students’ knowledge and/or skill scores of physical diagnostics. Standardized mean difference (SMD) with 95% confidence interval (CI) was estimated. Thirteen studies with a total of 2086 medical students were included in this meta-analysis. All of these studies provided usable data on knowledge scores, and the pooled analysis showed a significant difference in favor of PBL compared to the traditional teaching (SMD = 0.76, 95%CI = 0.33–1.19). Ten studies provided usable data on skill scores, and a significant difference in favor of PBL was also observed (SMD = 1.46, 95%CI = 0.89–2.02). Statistically similar results were obtained in the sensitivity analysis, and there was no significant evidence of publication bias. These results suggested that PBL in physical diagnostics education in China appeared to be more effective than traditional teaching method in improving knowledge and skills. PMID:27808158

Assessing the effectiveness of problem-based learning in physical diagnostics education in China: a meta-analysis.

PubMed

Wang, Jianmiao; Xu, Yongjian; Liu, Xiansheng; Xiong, Weining; Xie, Jungang; Zhao, Jianping

2016-11-03

Problem-based learning (PBL) has been extensively applied as an experimental educational method in Chinese medical schools over the past decade. A meta-analysis was performed to assess the effectiveness of PBL on students' learning outcomes in physical diagnostics education. Related databases were searched for eligible studies evaluating the effects of PBL compared to traditional teaching on students' knowledge and/or skill scores of physical diagnostics. Standardized mean difference (SMD) with 95% confidence interval (CI) was estimated. Thirteen studies with a total of 2086 medical students were included in this meta-analysis. All of these studies provided usable data on knowledge scores, and the pooled analysis showed a significant difference in favor of PBL compared to the traditional teaching (SMD = 0.76, 95%CI = 0.33-1.19). Ten studies provided usable data on skill scores, and a significant difference in favor of PBL was also observed (SMD = 1.46, 95%CI = 0.89-2.02). Statistically similar results were obtained in the sensitivity analysis, and there was no significant evidence of publication bias. These results suggested that PBL in physical diagnostics education in China appeared to be more effective than traditional teaching method in improving knowledge and skills.

The Current Status of Somatostatin-Interneurons in Inhibitory Control of Brain Function and Plasticity

PubMed Central

2016-01-01

The mammalian neocortex contains many distinct inhibitory neuronal populations to balance excitatory neurotransmission. A correct excitation/inhibition equilibrium is crucial for normal brain development, functioning, and controlling lifelong cortical plasticity. Knowledge about how the inhibitory network contributes to brain plasticity however remains incomplete. Somatostatin- (SST-) interneurons constitute a large neocortical subpopulation of interneurons, next to parvalbumin- (PV-) and vasoactive intestinal peptide- (VIP-) interneurons. Unlike the extensively studied PV-interneurons, acknowledged as key components in guiding ocular dominance plasticity, the contribution of SST-interneurons is less understood. Nevertheless, SST-interneurons are ideally situated within cortical networks to integrate unimodal or cross-modal sensory information processing and therefore likely to be important mediators of experience-dependent plasticity. The lack of knowledge on SST-interneurons partially relates to the wide variety of distinct subpopulations present in the sensory neocortex. This review informs on those SST-subpopulations hitherto described based on anatomical, molecular, or electrophysiological characteristics and whose functional roles can be attributed based on specific cortical wiring patterns. A possible role for these subpopulations in experience-dependent plasticity will be discussed, emphasizing on learning-induced plasticity and on unimodal and cross-modal plasticity upon sensory loss. This knowledge will ultimately contribute to guide brain plasticity into well-defined directions to restore sensory function and promote lifelong learning. PMID:27403348

Powder bed binder jet 3D printing of Inconel 718: Densification, microstructural evolution and challenges

DOE PAGES

Nandwana, Peeyush; Elliott, Amy M.; Siddel, Derek; ...

2017-01-03

Traditional manufacturing of Inconel 718 components from castings and thermomechanical processing routes involve extensive post processing and machining to attain the desired geometry. Additive manufacturing (AM) technologies including direct energy deposition (DED), selective laser melting (SLM), electron beam melting (EBM) and binder jet 3D printing (BJ3DP) can minimize scrap generation and reduce lead times. While there is extensive literature on the use of melting and solidification based AM technologies, there has been limited research on the use of binder jet 3D printing. In this paper, a brief review on binder jet additive manufacturing of Inconel 718 is presented. In addition,more » existing knowledge on sintering of Inconel 718 has been extended to binder jet 3D printing. We found that supersolidus liquid phase sintering (SLPS) is necessary to achieve full densification of Inconel 718. SLPS is sensitive to the feedstock chemistry that has a strong influence on the liquid volume fraction at the processing temperature. Based on these results, we discuss an empirical framework to determine the role of powder particle size and liquid volume fraction on sintering kinetics. In conclusion, the role of powder packing factor and binder saturation on microstructural evolution is discussed. The current challenges in the use of BJ3DP for fabrication of Inconel 718, as well as, extension to other metal systems, are presented.« less

Training Older Adults about Alzheimer's Disease--Impact on Knowledge and Fear

ERIC Educational Resources Information Center

Scerri, Anthony; Scerri, Charles

2017-01-01

Although the impact of Alzheimer's disease training programs directed to informal and formal caregivers has been extensively studied, programs for older adults who do not have the disease are relatively few. Moreover, increased knowledge increases fear of the disease, even though there is little empirical evidence to support this. This study…

Lessons from Successes in Medical Communication Training and Their Applications to Accounting Education

ERIC Educational Resources Information Center

Daff, Lyn

2012-01-01

Accountants interact with people from diverse backgrounds. While accounting knowledge and technical skills are essential, it is well-developed interpersonal skills that will enhance their relationships with clients and staff alike. Similarly, patients want their doctors to have extensive medical knowledge and an agreeable bedside manner. To…

Unfolding the Knowledge and Power Dynamics of the "Farmers-Rural Extensionists" Interface in North-Eastern Argentina

ERIC Educational Resources Information Center

Landini, Fernando

2016-01-01

Purpose: In this paper, the knowledge dynamics of the farmer-rural extensionist' interface were explored from extensionists' perspective with the aim of understanding the matchmaking processes between supply and demand of extension services at the micro-level. Design/methodology/approach: Forty semi-structured interviews were conducted with…

Effects of Subject-Area Degree and Classroom Experience on New Chemistry Teachers' Subject Matter Knowledge

ERIC Educational Resources Information Center

Nixon, Ryan S.; Campbell, Benjamin K.; Luft, Julie A.

2016-01-01

Science teachers need to understand the subject matter they teach. While subject matter knowledge (SMK) can improve with classroom teaching experience, it is problematic that many secondary science teachers leave the profession before garnering extensive classroom experience. Furthermore, many new science teachers are assigned to teach science…

How Do Cognitive Function and Knowledge Affect Heart Failure Self-Care?

ERIC Educational Resources Information Center

Dickson, Victoria Vaughan; Lee, Christopher S.; Riegel, Barbara

2011-01-01

Despite extensive patient education, few heart failure (HF) patients master self-care. Impaired cognitive function may explain why patient education is ineffective. A concurrent triangulation mixed methods design was used to explore how knowledge and cognitive function influence HF self-care. A total of 41 adults with HF participated in interviews…

Florida and Puerto Rico Secondary Science Teachers' Knowledge and Teaching of Climate Change Science

ERIC Educational Resources Information Center

Herman, Benjamin C.; Feldman, Allan; Vernaza-Hernandez, Vanessa

2017-01-01

Misconceptions about climate change science are pervasive among the US public. This study investigated the possibility that these misconceptions may be reflective of science teachers' knowledge and teaching of climate change science. Florida and Puerto Rico secondary science teachers who claim to teach extensively about climate change were…

Knowledge Management of Web Financial Reporting in Human-Computer Interactive Perspective

ERIC Educational Resources Information Center

Wang, Dong; Chen, Yujing; Xu, Jing

2017-01-01

Handling and analyzing to web financial data is becoming a challenge issue in knowledge management and education to accounting practitioners. eXtensible Business Reporting Language (XBRL), which is a type of web financial reporting, describes and recognizes financial items by tagging metadata. The goal is to make it possible for financial reports…

When Supervision Is Conflated with Evaluation: Teacher Candidates' Perceptions of Their Novice Supervisor

ERIC Educational Resources Information Center

Burns, Rebecca West; Badiali, Bernard J.

2015-01-01

Preparing teachers in clinically rich contexts requires teacher educators who are skilled and knowledgeable about university coursework as well as the complexities of classrooms. Retired teachers or principals have often assumed the role of field supervisor, bringing to their work extensive practitioner knowledge but often lacking theoretical…

Educational Research and Policy: Epistemological Considerations

ERIC Educational Resources Information Center

Bridges, David; Watts, Michael

2008-01-01

This article is centrally concerned with the sort of knowledge that can and should inform educational policy--and it treats this as an epistemological question. It distinguishes this question from the more extensively explored question of what sort of knowledge in what form policy-makers do in fact commonly take into account. The article examines…

The Use of Humourous Texts in Improving ESL Learners' Vocabulary Comprehension and Retention

ERIC Educational Resources Information Center

Zabidin, Nursyafiqah Binti

2015-01-01

Successful language acquisition requires extensive word knowledge. However, learners are reportedly unable to increase their word knowledge due to insufficient meaningful input in the language classrooms. This paper intended to present another tool to encourage learners' vocabulary development. It examined the effect(s) of using short narrative…

Pursuing Digital Literacy in Compulsory Education. New Literacies and Digital Epistemologies. Volume 43

ERIC Educational Resources Information Center

Stergioulas, Lampros K., Ed.; Drenoyianni, Helen, Ed.

2011-01-01

Over the last two decades, advances in information and communication technologies (ICTs) have contributed to the ideological construct of an emerging "knowledge society"--one which places a high value on knowledge and education and promises a better future for humanity. However, the severe economic--and by extension, social and…

Hepatitis C virus knowledge improves hepatitis C virus screening practices among primary care physicians.

PubMed

Samuel, Sandeep T; Martinez, Anthony D; Chen, Yang; Markatou, Marianthi; Talal, Andrew H

2018-02-27

To understand the role of knowledge as a promoter of hepatitis C virus (HCV) screening among primary care physicians (PCP). A 45-item online questionnaire assessing knowledge of HCV natural history, risk factors, and treatment was distributed to 163 PCP. Logistic regression, adjusted for survey responses, assessed associations between PCP knowledge of HCV natural history and treatment and birth cohort ( i.e ., birth between 1945 and 1965) screening. Response stratification and weighting were used to account for nonresponse and to permit extension of responses to the entire survey population. Associations between various predictors including demographic characteristics, level of training, and HCV treatment experience and HCV knowledge were assessed. Ninety-one individuals (55.8%) responded. Abnormal liver enzymes (49.4%), assessment of HCV-related risk factors (30.6%), and birth cohort membership (20%) were the leading HCV screening indications. Most PCP (64.7%) felt that the combination of risk-factor and birth cohort screening utilizing a self-administered survey while awaiting the physician (55.3%) were the most efficient screening practices. Implementation of birth cohort screening was associated with awareness of the recommendations ( P -value = 0.01), knowledge of HCV natural history ( P -value < 0.01), and prior management of HCV patients ( P -value < 0.01). PCP with knowledge of HCV treatment was also knowledgeable about HCV natural history ( P -value < 0.01). Similarly, awareness of age-based screening recommendations was associated with HCV treatment knowledge ( P -value = 0.03). Comprehensive knowledge of HCV is critical to motivate HCV screening. PCP-targeted educational interventions are required to expand the HCV workforce and linkage-to-care opportunities as we seek global HCV eradication.

Level of confidence in venepuncture and knowledge in determining causes of blood sample haemolysis among clinical staff and phlebotomists.

PubMed

Makhumula-Nkhoma, Nellie; Whittaker, Vicki; McSherry, Robert

2015-02-01

To investigate the association between confidence level in venepuncture and knowledge in determining causes of blood sample haemolysis among clinical staff and phlebotomists. Various collection methods are used to perform venepuncture, also called phlebotomy, the act of drawing blood from a patient using a needle. The collection method used has an impact on preanalytical blood sample haemolysis. Haemolysis is the breakdown of red blood cells, which makes the sample unsuitable. Despite available evidence on the common causes, extensive literature search showed a lack of published evidence on the association of haemolysis with staff confidence and knowledge. A quantitative primary research design using survey method. A purposive sample of 290 clinical staff and phlebotomists conducting venepuncture in one North England hospital participated in this quantitative survey. A three-section web-based questionnaire comprising demographic profile, confidence and competence levels, and knowledge sections was used to collect data in 2012. The chi-squared test for independence was used to compare the distribution of responses for categorical data. anova was used to determine mean difference in the knowledge scores of staff with different confidence levels. Almost 25% clinical staff and phlebotomists participated in the survey. There was an increase in confidence at the last venepuncture among staff of all categories. While doctors' scores were higher compared with healthcare assistants', p ≤ 0·001, nurses' were of wide range and lowest. There was no statistically significant difference (at the 5% level) in the total knowledge scores and confidence level at the last venepuncture F(2,4·690) = 1·67, p = 0·31 among staff of all categories. Evidence-based measures are required to boost staff knowledge base of preanalytical blood sample haemolysis for standardised and quality service. Monitoring and evaluation of the training, conducting and monitoring haemolysis rate are equally crucial. Although the hospital is succeeding in providing regular training in venepuncture, this is only one aspect of quality. The process and outcome also need interventions. © 2014 John Wiley & Sons Ltd.

Building National Capacity for Research Mentor Training: An Evidence-Based Approach to Training the Trainers

PubMed Central

Pfund, Christine; Spencer, Kimberly C.; Asquith, Pamela; House, Stephanie C.; Miller, Sarah; Sorkness, Christine A.

2015-01-01

Research mentor training (RMT), based on the published Entering Mentoring curricula series, has been shown to improve the knowledge and skills of research mentors across career stages, as self-reported by both the mentors engaged in training and their mentees. To promote widespread dissemination and empower others to implement this evidence-based training at their home institutions, we developed an extensive, interactive, multifaceted train-the-trainer workshop. The specific goals of these workshops are to 1) increase facilitator knowledge of an RMT curriculum, 2) increase facilitator confidence in implementing the curriculum, 3) provide a safe environment to practice facilitation of curricular activities, and 4) review implementation strategies and evaluation tools. Data indicate that our approach results in high satisfaction and significant confidence gains among attendees. Of the 195 diverse attendees trained in our workshops since Fall 2010, 44% report implementation at 39 different institutions, collectively training more than 500 mentors. Further, mentors who participated in the RMT sessions led by our trained facilitators report high facilitator effectiveness in guiding discussion. Implications and challenges to building the national capacity needed for improved research mentoring relationships are discussed. PMID:26033872

Consistent visualizations of changing knowledge

PubMed Central

Tipney, Hannah J.; Schuyler, Ronald P.; Hunter, Lawrence

2009-01-01

Networks are increasingly used in biology to represent complex data in uncomplicated symbolic form. However, as biological knowledge is continually evolving, so must those networks representing this knowledge. Capturing and presenting this type of knowledge change over time is particularly challenging due to the intimate manner in which researchers customize those networks they come into contact with. The effective visualization of this knowledge is important as it creates insight into complex systems and stimulates hypothesis generation and biological discovery. Here we highlight how the retention of user customizations, and the collection and visualization of knowledge associated provenance supports effective and productive network exploration. We also present an extension of the Hanalyzer system, ReOrient, which supports network exploration and analysis in the presence of knowledge change. PMID:21347184

Teaching Students with Asperger Syndrome (and Other Disabilities) in the College Classroom: Creating an Inclusive Learning Environment

ERIC Educational Resources Information Center

Langford-Von Glahn, Sara J.; Zakrajsek, Todd; Pletcher-Rood, Susie

2008-01-01

Asperger Syndrome (AS) is a developmental disorder characterized by poor social skills and restricted interests, but also by extensive knowledge in specific areas and an extensive vocabulary, thereby giving college students with AS specific abilities that are desirable in academe. In fact, young individuals with AS are often referred to as "little…

Identification of the Competencies Needed to Apply Social Marketing to Extension Programming: Results of a Delphi Study

ERIC Educational Resources Information Center

Warner, Laura A.; Stubbs, Eric; Murphrey, Theresa Pesl; Huynh, Phuong

2016-01-01

The purpose of this study was to identify the specific competencies needed to apply social marketing, a promising approach to behavior change, to Extension programming. A modified Delphi study was used to achieve group consensus among a panel of experts on the skills, characteristics, and knowledge needed to successfully apply this behavior change…

Improving knowledge and behaviours related to the cause, transmission and prevention of Tuberculosis and early case detection: a descriptive study of community led Tuberculosis program in Flores, Indonesia.

PubMed

Dewi, Christa; Barclay, Lesley; Passey, Megan; Wilson, Shawn

2016-08-08

The community's awareness of Tuberculosis (TB) and delays in health care seeking remain important issues in Indonesia despite the extensive efforts of community-based TB programs delivered by a non-government organisation (NGO). This study explored the knowledge and behaviours in relation to TB and early diagnosis before and after an asset-based intervention designed to improve these issues. Six villages in Flores, Indonesia were purposively selected to participate in this study. Three villages served as intervention villages and the other three villages provided a comparison group. Data collection included interviews, group discussions, observations, field notes and audit of records. In total, 50 participants across six villages were interviewed and three group discussions were conducted in the intervention villages supplemented by 1 - 5 h of observation during monthly visits. Overall, participants in all villages had limited knowledge regarding the cause and transmission of TB before the intervention. The delay in health seeking behaviour was mainly influenced by ignorance of TB symptoms. Health care providers also contributed to delayed diagnosis by ignoring the symptoms of TB suspects at the first visit and failing to examine TB suspects with sputum tests. Stigmatisation of TB patients by the community was reported, although this did not seem to be common. Early case detection was less than 50 % in four of the six villages before the asset-based intervention. Knowledge of TB improved after the intervention in the intervention villages alongside improved education activities. Early case detection also increased in the intervention villages following this intervention. The behaviour changes related to prevention of TB were also obvious in the intervention villages but not the comparison group. This small project demonstrated that an asset-based intervention can result in positive changes in community's knowledge and behaviour in relation to TB and early case detection. A continuing education process is like to be required to maintain this outcome and to reach a wider community. Promoting community involvement and local initiatives and engaging health care providers were important elements in the community-based TB program implemented.

A survey of noninteractive zero knowledge proof system and its applications.

PubMed

Wu, Huixin; Wang, Feng

2014-01-01

Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions.

The Present of Environmental Psychology Researches in China: Base on the Bibliometric Analysis and Knowledge Mapping

NASA Astrophysics Data System (ADS)

Xu, Junhua; Wang, Qi; Zhu, Leiye; Qing, Wu; Jin, Meidong; Zhang, Rui; Wang, Haibin

2018-03-01

Environmental psychology is an interdisciplinary field that focuses on the interplay between individuals and their surroundings. Chinese researchers conducted extensive research on the field and produced a wealth of academic achievements, especially on the application of environmental psychology, such as the protection of minority towns and villages and the prevention and solution of air pollution. To reveal the current situation of the researches in China, 388 related papers from the China National Knowledge Infrastructure (CNKI) were analyzed by bibliometric and Knowledge Mapping. The results show that: (1) these studies stared since 1982 and demonstrated a year-on-year growth trend since 2001, which reaches a historical peak in 2016. Peiwen Zhan, Hu Zhao and Xiaofeng Lu top the list with a total of eighteen articles and Heilongjiang University is the best performer among the contributing organizations. (2)“Environmental Psychology” is the most frequently cited keywords and “Environmental perception”, “Physical environment” and “living environment” have the longest span of the bursts. the top seven largest clusters, which were environment, surroundings, application, privacy, environmental perception environmental art and physical environment.

Groups: knowledge spreadsheets for symbolic biocomputing.

PubMed

Travers, Michael; Paley, Suzanne M; Shrager, Jeff; Holland, Timothy A; Karp, Peter D

2013-01-01

Knowledge spreadsheets (KSs) are a visual tool for interactive data analysis and exploration. They differ from traditional spreadsheets in that rather than being oriented toward numeric data, they work with symbolic knowledge representation structures and provide operations that take into account the semantics of the application domain. 'Groups' is an implementation of KSs within the Pathway Tools system. Groups allows Pathway Tools users to define a group of objects (e.g. groups of genes or metabolites) from a Pathway/Genome Database. Groups can be transformed (e.g. by transforming a metabolite group to the group of pathways in which those metabolites are substrates); combined through set operations; analysed (e.g. through enrichment analysis); and visualized (e.g. by painting onto a metabolic map diagram). Users of the Pathway Tools-based BioCyc.org website have made extensive use of Groups, and an informal survey of Groups users suggests that Groups has achieved the goal of allowing biologists themselves to perform some data manipulations that previously would have required the assistance of a programmer. Database URL: BioCyc.org.

Impaired integration of object knowledge and visual input in a case of ventral simultanagnosia with bilateral damage to area V4.

PubMed

Leek, E Charles; d'Avossa, Giovanni; Tainturier, Marie-Josèphe; Roberts, Daniel J; Yuen, Sung Lai; Hu, Mo; Rafal, Robert

2012-01-01

This study examines how brain damage can affect the cognitive processes that support the integration of sensory input and prior knowledge during shape perception. It is based on the first detailed study of acquired ventral simultanagnosia, which was found in a patient (M.T.) with posterior occipitotemporal lesions encompassing V4 bilaterally. Despite showing normal object recognition for single items in both accuracy and response times (RTs), and intact low-level vision assessed across an extensive battery of tests, M.T. was impaired in object identification with overlapping figures displays. Task performance was modulated by familiarity: Unlike controls, M.T. was faster with overlapping displays of abstract shapes than with overlapping displays of common objects. His performance with overlapping common object displays was also influenced by both the semantic relatedness and visual similarity of the display items. These findings challenge claims that visual perception is driven solely by feedforward mechanisms and show how brain damage can selectively impair high-level perceptual processes supporting the integration of stored knowledge and visual sensory input.

Intelligent E-Learning Systems: Automatic Construction of Ontologies

NASA Astrophysics Data System (ADS)

Peso, Jesús del; de Arriaga, Fernando

2008-05-01

During the last years a new generation of Intelligent E-Learning Systems (ILS) has emerged with enhanced functionality due, mainly, to influences from Distributed Artificial Intelligence, to the use of cognitive modelling, to the extensive use of the Internet, and to new educational ideas such as the student-centered education and Knowledge Management. The automatic construction of ontologies provides means of automatically updating the knowledge bases of their respective ILS, and of increasing their interoperability and communication among them, sharing the same ontology. The paper presents a new approach, able to produce ontologies from a small number of documents such as those obtained from the Internet, without the assistance of large corpora, by using simple syntactic rules and some semantic information. The method is independent of the natural language used. The use of a multi-agent system increases the flexibility and capability of the method. Although the method can be easily improved, the results so far obtained, are promising.

Teaching statistics to nursing students: an expert panel consensus.

PubMed

Hayat, Matthew J; Eckardt, Patricia; Higgins, Melinda; Kim, MyoungJin; Schmiege, Sarah J

2013-06-01

Statistics education is a necessary element of nursing education, and its inclusion is recommended in the American Association of Colleges of Nursing guidelines for nurse training at all levels. This article presents a cohesive summary of an expert panel discussion, "Teaching Statistics to Nursing Students," held at the 2012 Joint Statistical Meetings. All panelists were statistics experts, had extensive teaching and consulting experience, and held faculty appointments in a U.S.-based nursing college or school. The panel discussed degree-specific curriculum requirements, course content, how to ensure nursing students understand the relevance of statistics, approaches to integrating statistics consulting knowledge, experience with classroom instruction, use of knowledge from the statistics education research field to make improvements in statistics education for nursing students, and classroom pedagogy and instruction on the use of statistical software. Panelists also discussed the need for evidence to make data-informed decisions about statistics education and training for nurses. Copyright 2013, SLACK Incorporated.

Development of a virtual lab for practical eLearning in eHealth.

PubMed

Herzog, Juliane; Forjan, Mathias; Sauermann, Stefan; Mense, Alexander; Urbauer, Philipp

2015-01-01

In recent years an ongoing development in educational offers for professionals working in the field of eHealth has been observed. This education is increasingly offered in the form of eLearning courses. Furthermore, it can be seen that simulations are a valuable part to support the knowledge transfer. Based on the knowledge profiles defined for eHealth courses a virtual lab should be developed. For this purpose, a subset of skills and a use case is determined. After searching and evaluating appropriate simulating and testing tools six tools were chosen to implement the use case practically. Within an UML use case diagram the interaction between the tools and the user is represented. Initially tests have shown good results of the tools' feasibility. After an extensive testing phase the tools should be integrated in the eHealth eLearning courses.

Disease management research using event graphs.

PubMed

Allore, H G; Schruben, L W

2000-08-01

Event Graphs, conditional representations of stochastic relationships between discrete events, simulate disease dynamics. In this paper, we demonstrate how Event Graphs, at an appropriate abstraction level, also extend and organize scientific knowledge about diseases. They can identify promising treatment strategies and directions for further research and provide enough detail for testing combinations of new medicines and interventions. Event Graphs can be enriched to incorporate and validate data and test new theories to reflect an expanding dynamic scientific knowledge base and establish performance criteria for the economic viability of new treatments. To illustrate, an Event Graph is developed for mastitis, a costly dairy cattle disease, for which extensive scientific literature exists. With only a modest amount of imagination, the methodology presented here can be seen to apply modeling to any disease, human, plant, or animal. The Event Graph simulation presented here is currently being used in research and in a new veterinary epidemiology course. Copyright 2000 Academic Press.

Enhancing project-oriented learning by joining communities of practice and opening spaces for relatedness

NASA Astrophysics Data System (ADS)

Pascual, R.

2010-03-01

This article describes an extension to project-oriented learning to increase social construction of knowledge and learning. The focus is on: (a) maximising opportunities for students to share their knowledge with practitioners by joining communities of practice, and (b) increasing their intrinsic motivation by creating conditions for student's relatedness. The case study considers a last year capstone course in Mechanical Engineering. The work addresses innovative practices of active learning and beyond project-oriented learning through: (a) the development of a web-based decision support system, (b) meetings between the communities of students, maintenance engineers and academics, and (c) new off-campus group instances. The author hypothesises that this multi-modal approach increases deep learning and social impact of the educational process. Surveys to the actors support a successful achievement of the educational goals. The methodology can easily be extended to further improve the learning process.

Contributions to the knowledge of amphibians and reptiles from Volta Grande do Xingu, northern Brazil.

PubMed

Vaz-Silva, W; Oliveira, R M; Gonzaga, A F N; Pinto, K C; Poli, F C; Bilce, T M; Penhacek, M; Wronski, L; Martins, J X; Junqueira, T G; Cesca, L C C; Guimarães, V Y; Pinheiro, R D

2015-08-01

The region of Volta Grande do Xingu River, in the state of Pará, presents several kinds of land use ranging from extensive cattle farming to agroforestry, and deforestation. Currently, the Belo Monte Hydroelectric Power Plant affects the region. We present a checklist of amphibians and reptiles of the region and discuss information regarding the spatial distribution of the assemblies based on results of Environmental Programmes conducted in the area. We listed 109 amphibian (Anura, Caudata, and Gymnophiona) and 150 reptile (Squamata, Testudines, and Crocodylia) species. The regional species richness is still considered underestimated, considering the taxonomic uncertainty, complexity and cryptic diversity of various species, as observed in other regions of the Amazon biome. Efforts for scientific collection and studies related to integrative taxonomy are needed to elucidate uncertainties and increase levels of knowledge of the local diversity.

Editorial

NASA Astrophysics Data System (ADS)

Keinonen, Junani

Samuel Taylor Coleridge, British poet at the end of the 18th century, gave us a characterization of a scientist. “The first man of science was he who looked into a thing, not to learn whether it furnished him food, or shelter, or weapons, or tools, or armaments, or playwiths but who sought to know it for the gratification of knowing.” After those days the new generations of scientists have got different, less idealistic guidelines for their work. According to the Finnish science policy, Finland's economic, social and cultural development is based on knowledge and skills. It is generally accepted in our country that the consistent promotion of a national innovation system during the past ten years, has laid the foundation for the growth of knowledge and skills and their extensive utilization for the benefit of the individual and the community. The importance of benefits will be stated in the current change of the law about universities.

Intelligent data management for real-time spacecraft monitoring

NASA Technical Reports Server (NTRS)

Schwuttke, Ursula M.; Gasser, Les; Abramson, Bruce

1992-01-01

Real-time AI systems have begun to address the challenge of restructuring problem solving to meet real-time constraints by making key trade-offs that pursue less than optimal strategies with minimal impact on system goals. Several approaches for adapting to dynamic changes in system operating conditions are known. However, simultaneously adapting system decision criteria in a principled way has been difficult. Towards this end, a general technique for dynamically making such trade-offs using a combination of decision theory and domain knowledge has been developed. Multi-attribute utility theory (MAUT), a decision theoretic approach for making one-time decisions is discussed and dynamic trade-off evaluation is described as a knowledge-based extension of MAUT that is suitable for highly dynamic real-time environments, and provides an example of dynamic trade-off evaluation applied to a specific data management trade-off in a real-world spacecraft monitoring application.

The Ife South Breastfeeding Project: training community health extension workers to promote and manage breastfeeding in rural communities.

PubMed

Davies-Adetugbo, A A; Adebawa, H A

1997-01-01

Reported are the results of a project to promote exclusive breastfeeding in rural communities through the training of community health extension workers in rural Nigeria. A workshop for the trainers was organized for health workers in the study area; subsequently, these trainers ran district-level training workshops. In the study area perinatal facilities, early initiation of breastfeeding has increased compared with those in the control area (P < 0.001). Also, the trained health workers had significantly better knowledge about breastfeeding than their untrained colleagues in both the study (P < 0.001) and control areas (P < 0.001), and more often recommended timely initiation and exclusive breastfeeding than the controls (P < 0.001). A multivariate analysis showed that the training programme and the study area were the only significant variables that were predictors of breastfeeding knowledge (P < 0.001). Appropriate education of health extension workers can therefore contribute significantly to the promotion of breastfeeding in rural communities.

Knowledge and Attitudes of Produce and Seafood Processors and Food Safety Educators Regarding Nonthermal Processes

ERIC Educational Resources Information Center

Pivarnik, Lori F.; Richard, Nicole L.; Gable, Robert K.; Worobo, Randy W.

2016-01-01

A needs assessment survey was designed and administered to measure knowledge of and attitudes toward food safety impacts of nonthermal processing technologies of shellfish and produce industry personnel and extension educators. An online survey was sent via e-mail notification with the survey link through professional listserves. The survey…

Accelerating Tacit Knowledge Building of Client-Facing Consultants: Can Organizations Better Support These Learning Processes?

ERIC Educational Resources Information Center

McQueen, Robert J.; Janson, Annick

2016-01-01

Purpose: This paper aims to examine factors which influence how tacit knowledge is built and applied by client-facing consultants. Design/methodology/approach: Qualitative methods (interviews, thematic analysis) were used to gather and analyse data from 15 consultants in an agricultural extension context. Findings: Twenty-six factors about how…

Planning and Teaching Report-Writing. PEN.

ERIC Educational Resources Information Center

Hayes, Julie

Although an Australian educator had taught isolated aspects of functional grammar for a number of years, she felt that she had not put enough energy into building field (topic) knowledge. With the unit featured in this PEN Digest she aims to focus on building a quite extensive knowledge of the topic--snakes. According to the Digest, the educator…

Minimizing Disparities and Developing Support by Identifying Differences in Confidence and Knowledge Related to Water Issues

ERIC Educational Resources Information Center

Taylor, Melissa; Lamm, Alexa J.

2016-01-01

Extension educators face challenges as they strive to keep up with critical issues in their communities, such as those surrounding water. A growing population and a diminishing water supply necessitate that Florida residents become more knowledgeable about water issues. We conducted research to determine how confident both the general public and…

Developing Number Knowledge: Assessment, Teaching and Intervention with 7-11 Year Olds. Math Recovery

ERIC Educational Resources Information Center

Wright, Robert J.; Ellemor-Collins, David; Tabor, Pamela D.

2011-01-01

This fourth book in the Mathematics Recovery series equips teachers with detailed pedagogical knowledge and resources for teaching number to 7 to 11-year olds. Drawing on extensive programs of research, curriculum development, and teacher development, the book offers a coherent, up-to-date approach emphasizing computational fluency and the…

The Explicit/Implicit Knowledge Distinction and Working Memory: Implications for Second-Language Reading Comprehension

ERIC Educational Resources Information Center

Ercetin, Gulcan; Alptekin, Cem

2013-01-01

Following an extensive overview of the subject, this study explores the relationships between second-language (L2) explicit/implicit knowledge sources, embedded in the declarative/procedural memory systems, and L2 working memory (WM) capacity. It further examines the relationships between L2 reading comprehension and L2 WM capacity as well as…

Improving the state of health programming by using diffusion theory.

PubMed

Dearing, James W

2004-01-01

Year by year, the gaps between what is known about behavior change and what is actually practiced in social programs grow larger, especially for community-based programs intended to help minority populations, the poor, and those living in inner-city and rural areas. Internationally, such gaps between the state of knowledge and the state of practice lead to disparities in health, education, and development among societal groups, demographic sub-populations, communities, and countries. Data about disparities are used as evidence of inequality. Here, I discuss uses of certain diffusion of innovation theory-based concepts to systematically redress problems of inequality and disparity by reducing the differences between evidence and practice in social programs that are implemented by intermediaries (practitioners) and communicated by them to needy populations. The emphasis here is on the integrated application of knowledge about innovation attributes, opinion leadership, and clustering from diffusion theory to achieve the objective of more extensive and more rapid diffusion of especially effective programs. A set of implementation steps are offered for researchers, funders of international health programs, and the intermediaries who implement health programs.

PKDE4J: Entity and relation extraction for public knowledge discovery.

PubMed

Song, Min; Kim, Won Chul; Lee, Dahee; Heo, Go Eun; Kang, Keun Young

2015-10-01

Due to an enormous number of scientific publications that cannot be handled manually, there is a rising interest in text-mining techniques for automated information extraction, especially in the biomedical field. Such techniques provide effective means of information search, knowledge discovery, and hypothesis generation. Most previous studies have primarily focused on the design and performance improvement of either named entity recognition or relation extraction. In this paper, we present PKDE4J, a comprehensive text-mining system that integrates dictionary-based entity extraction and rule-based relation extraction in a highly flexible and extensible framework. Starting with the Stanford CoreNLP, we developed the system to cope with multiple types of entities and relations. The system also has fairly good performance in terms of accuracy as well as the ability to configure text-processing components. We demonstrate its competitive performance by evaluating it on many corpora and found that it surpasses existing systems with average F-measures of 85% for entity extraction and 81% for relation extraction. Copyright © 2015 Elsevier Inc. All rights reserved.

Leveraging Research Partnerships to Co-Produce Actionable Science and Build Institutional Capacity

NASA Astrophysics Data System (ADS)

Fleming, P.; Chinn, A.; Rufo Hill, J.; Edgerly, J.; Garcia, E.

2017-12-01

Seattle Public Utilities (SPU) provides high quality drinking water to 1.4 million people in the greater Seattle area and storm, wastewater and solid waste services to the City of Seattle. SPU's engagement on climate change has evolved significantly over the past 20 years. What began in 1997 as an inquiry into how El Nino may affect water supply has evolved into a broad based ongoing exploration that includes extensive in-house knowledge, capacity and expertise. This presentation will describe SPU's evolution from a funder and consumer of climate research to an active contributor to the development of applied research products, highlighted SPU's changing role in three climate impacts assessment studies. It will describe how SPU has leveraged these studies and partnerships to enhance its knowledge base, build its internal institutional capacity and produce actionable science that it is helping to foster incorporation of climate change into various aspects of utility planning and decision making. It will describe the PUMA Project and how the results from that research effort are being factored into SPU's state mandated Water System Plan.

Practical robotic self-awareness and self-knowledge

NASA Astrophysics Data System (ADS)

Gage, Douglas W.

2011-05-01

The functional software components of an autonomous robotic system express behavior via commands to its actuators, based on processed inputs from its sensors; we propose an additional set of "cognitive" capabilities for robotic systems of all types, based on the comprehensive logging of all available data, including sensor inputs, behavioral states, and outputs sent to actuators. A robot should maintain a "sense" of its own (piecewise) continuous existence through time and space; it should in some sense "get a life," providing a level of self-awareness and self-knowledge. Self-awareness includes the ability to survive and work through unexpected power glitches while executing a task or mission. Selfknowledge includes an extensive world model including a model of self and the purpose context in which it is operating (deontics). Our system must support proactive self-test, monitoring, and calibration, and maintain a "personal" health/repair history, supporting system test and evaluation by continuously measuring performance throughout the entire product lifecycle. It will include episodic memory, and a system "lifelog," and will also participate in multiple modes of Human Robotic interaction (HRI).

Incorporating Feature-Based Annotations into Automatically Generated Knowledge Representations

NASA Astrophysics Data System (ADS)

Lumb, L. I.; Lederman, J. I.; Aldridge, K. D.

2006-12-01

Earth Science Markup Language (ESML) is efficient and effective in representing scientific data in an XML- based formalism. However, features of the data being represented are not accounted for in ESML. Such features might derive from events (e.g., a gap in data collection due to instrument servicing), identifications (e.g., a scientifically interesting area/volume in an image), or some other source. In order to account for features in an ESML context, we consider them from the perspective of annotation, i.e., the addition of information to existing documents without changing the originals. Although it is possible to extend ESML to incorporate feature-based annotations internally (e.g., by extending the XML schema for ESML), there are a number of complicating factors that we identify. Rather than pursuing the ESML-extension approach, we focus on an external representation for feature-based annotations via XML Pointer Language (XPointer). In previous work (Lumb &Aldridge, HPCS 2006, IEEE, doi:10.1109/HPCS.2006.26), we have shown that it is possible to extract relationships from ESML-based representations, and capture the results in the Resource Description Format (RDF). Thus we explore and report on this same requirement for XPointer-based annotations of ESML representations. As in our past efforts, the Global Geodynamics Project (GGP) allows us to illustrate with a real-world example this approach for introducing annotations into automatically generated knowledge representations.

Transformation reborn: A new generation expert system for planning HST operations

NASA Technical Reports Server (NTRS)

Gerb, Andrew

1991-01-01

The Transformation expert system (TRANS) converts proposals for astronomical observations with the Hubble Space Telescope (HST) into detailed observing plans. It encodes expert knowledge to solve problems faced in planning and commanding HST observations to enable their processing by the Science Operations Ground System (SOGS). Among these problems are determining an acceptable order of executing observations, grouping of observations to enhance efficiency and schedulability, inserting extra observations when necessary, and providing parameters for commanding HST instruments. TRANS is currently an operational system and plays a critical role in the HST ground system. It was originally designed using forward-chaining provided by the OPS5 expert system language, but has been reimplemented using a procedural knowledge base. This reimplementation was forced by the explosion in the amount of OPS5 code required to specify the increasingly complicated situations requiring expert-level intervention by the TRANS knowledge base. This problem was compounded by the difficulty of avoiding unintended interaction between rules. To support the TRANS knowledge base, XCL, a small but powerful extension to Commom Lisp was implemented. XCL allows a compact syntax for specifying assignments and references to object attributes. XCL also allows the capability to iterate over objects and perform keyed lookup. The reimplementation of TRANS has greatly diminished the effort needed to maintain and enhance it. As a result of this, its functions have been expanded to include warnings about observations that are difficult or impossible to schedule or command, providing data to aid SPIKE, an intelligent planning system used for HST long-term scheduling, and providing information to the Guide Star Selection System (GSSS) to aid in determination of the long range availability of guide stars.

Natural products as reservoirs of novel therapeutic agents.

PubMed

Mushtaq, Sadaf; Abbasi, Bilal Haider; Uzair, Bushra; Abbasi, Rashda

2018-01-01

Since ancient times, natural products from plants, animals, microbial and marine sources have been exploited for treatment of several diseases. The knowledge of our ancestors is the base of modern drug discovery process. However, due to the presence of extensive biodiversity in natural sources, the percentage of secondary metabolites screened for bioactivity is low. This review aims to provide a brief overview of historically significant natural therapeutic agents along with some current potential drug candidates. It will also provide an insight into pros and cons of natural product discovery and how development of recent approaches has answered the challenges associated with it.

Chemical processing of lunar materials

NASA Technical Reports Server (NTRS)

Criswell, D. R.; Waldron, R. D.

1979-01-01

The paper highlights recent work on the general problem of processing lunar materials. The discussion covers lunar source materials, refined products, motivations for using lunar materials, and general considerations for a lunar or space processing plant. Attention is given to chemical processing through various techniques, including electrolysis of molten silicates, carbothermic/silicothermic reduction, carbo-chlorination process, NaOH basic-leach process, and HF acid-leach process. Several options for chemical processing of lunar materials are well within the state of the art of applied chemistry and chemical engineering to begin development based on the extensive knowledge of lunar materials.

Technique for controlling spread of limnotic oncomelania

NASA Astrophysics Data System (ADS)

Li, Damei; Wang, Xiangsan; Lai, Yonggen

2003-09-01

Schistosomiasis is a parasitic disease mostly found in areas along the Changjiang River of China. The disease is spread solely through an intermediary named oncomelania, so its spread of schistosomiasis can be controlled by properly designing water intakes which prevent oncomelania from entering farming land or residential areas. This paper reports a successful design process and a new oncomelania-free intake device. The design of the new intake is based on a sound research program in which extensive experimental studies were carried out to gain knowledge of oncomelania eco-hydraulic behavior and detailed flow field information through CFD simulation.

Long-term results after treatment of extensive odontogenic cysts of the jaws: a review.

PubMed

Wakolbinger, Robert; Beck-Mannagetta, Johann

2016-01-01

The aim was to perform a literature review concerning long-term results after treatment of extensive cysts of the jaws. The following databases were searched: MEDLINE, Cochrane CENTRAL, Cochrane Database of Systematic Reviews, The Cochrane Library, and EMBASE. Case reports and abstracts were excluded. Three hundred fifty-six articles were found, of which 30 were included. Only the minority of the studies reported long-term results. Most authors did not distinguish between temporary complications and permanent deficiencies (incomplete bone healing, permanent sensory deficits). Based on this review, it is recommended to consider primary decompression or marsupialization ± later definitive surgery for the treatment of extensive jaw cysts in order to achieve satisfying clinical results. Complications (occurring within the first 6 months postoperatively, e.g., infection) and remaining deficits (after a minimum of 6 months and not changing over time, e.g., bony or sensory deficit) should be clearly separated from each other. Knowledge of permanent deficits and bone healing after different therapeutic approaches is important for decision making. Patients should be informed not only about complications but also about the risk of permanent deficits for each method.

Geometric prepatterning-based tuning of the period doubling onset strain during thin-film wrinkling

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

Saha, Sourabh K.

Wrinkling of thin films is an easy-to-implement and low-cost technique to fabricate stretch-tunable periodic micro and nanoscale structures. However, the tunability of such structures is often limited by the emergence of an undesirable period-doubled mode at high strains. Predictively tuning the onset strain for period doubling via existing techniques requires one to have extensive knowledge about the nonlinear pattern formation behavior. Herein, a geometric prepatterning-based technique is introduced that can be implemented even with limited system knowledge to predictively delay period doubling. The technique comprises prepatterning the film/base bilayer with a sinusoidal pattern that has the same period as themore » natural period of the system. This technique has been verified via physical and computational experiments on the polydimethylsiloxane (PDMS)/glass bilayer system. It is observed that the onset strain can be increased from the typical value of 20% for flat films to greater than 30% with a modest prepattern aspect ratio (2·amplitude/period) of 0.15. In addition, finite element simulations reveal that (i) the onset strain increases with increasing prepattern amplitude and (ii) the delaying effect can be captured entirely by the prepattern geometry. Therefore, one can implement this technique even with limited system knowledge, such as material properties or film thickness, by simply replicating pre-existing wrinkled patterns to generate prepatterned bilayers. Furthermore, geometric prepatterning is a practical scheme to increase the operating range of stretch-tunable wrinkle-based devices by at least 50%.« less

Geometric prepatterning-based tuning of the period doubling onset strain during thin-film wrinkling

DOE PAGES

Saha, Sourabh K.

2017-04-05

Wrinkling of thin films is an easy-to-implement and low-cost technique to fabricate stretch-tunable periodic micro and nanoscale structures. However, the tunability of such structures is often limited by the emergence of an undesirable period-doubled mode at high strains. Predictively tuning the onset strain for period doubling via existing techniques requires one to have extensive knowledge about the nonlinear pattern formation behavior. Herein, a geometric prepatterning-based technique is introduced that can be implemented even with limited system knowledge to predictively delay period doubling. The technique comprises prepatterning the film/base bilayer with a sinusoidal pattern that has the same period as themore » natural period of the system. This technique has been verified via physical and computational experiments on the polydimethylsiloxane (PDMS)/glass bilayer system. It is observed that the onset strain can be increased from the typical value of 20% for flat films to greater than 30% with a modest prepattern aspect ratio (2·amplitude/period) of 0.15. In addition, finite element simulations reveal that (i) the onset strain increases with increasing prepattern amplitude and (ii) the delaying effect can be captured entirely by the prepattern geometry. Therefore, one can implement this technique even with limited system knowledge, such as material properties or film thickness, by simply replicating pre-existing wrinkled patterns to generate prepatterned bilayers. Furthermore, geometric prepatterning is a practical scheme to increase the operating range of stretch-tunable wrinkle-based devices by at least 50%.« less

Tool for Constructing Data Albums for Significant Weather Events

NASA Astrophysics Data System (ADS)

Kulkarni, A.; Ramachandran, R.; Conover, H.; McEniry, M.; Goodman, H.; Zavodsky, B. T.; Braun, S. A.; Wilson, B. D.

2012-12-01

Case study analysis and climatology studies are common approaches used in Atmospheric Science research. Research based on case studies involves a detailed description of specific weather events using data from different sources, to characterize physical processes in play for a given event. Climatology-based research tends to focus on the representativeness of a given event, by studying the characteristics and distribution of a large number of events. To gather relevant data and information for case studies and climatology analysis is tedious and time consuming; current Earth Science data systems are not suited to assemble multi-instrument, multi mission datasets around specific events. For example, in hurricane science, finding airborne or satellite data relevant to a given storm requires searching through web pages and data archives. Background information related to damages, deaths, and injuries requires extensive online searches for news reports and official storm summaries. We will present a knowledge synthesis engine to create curated "Data Albums" to support case study analysis and climatology studies. The technological challenges in building such a reusable and scalable knowledge synthesis engine are several. First, how to encode domain knowledge in a machine usable form? This knowledge must capture what information and data resources are relevant and the semantic relationships between the various fragments of information and data. Second, how to extract semantic information from various heterogeneous sources including unstructured texts using the encoded knowledge? Finally, how to design a structured database from the encoded knowledge to store all information and to support querying? The structured database must allow both knowledge overviews of an event as well as drill down capability needed for detailed analysis. An application ontology driven framework is being used to design the knowledge synthesis engine. The knowledge synthesis engine is being applied to build a portal for hurricane case studies at the Global Hydrology and Resource Center (GHRC), a NASA Data Center. This portal will auto-generate Data Albums for specific hurricane events, compiling information from distributed resources such as NASA field campaign collections, relevant data sets, storm reports, pictures, videos and other useful sources.

CE-SAM: a conversational interface for ISR mission support

NASA Astrophysics Data System (ADS)

Pizzocaro, Diego; Parizas, Christos; Preece, Alun; Braines, Dave; Mott, David; Bakdash, Jonathan Z.

2013-05-01

There is considerable interest in natural language conversational interfaces. These allow for complex user interactions with systems, such as fulfilling information requirements in dynamic environments, without requiring extensive training or a technical background (e.g. in formal query languages or schemas). To leverage the advantages of conversational interactions we propose CE-SAM (Controlled English Sensor Assignment to Missions), a system that guides users through refining and satisfying their information needs in the context of Intelligence, Surveillance, and Reconnaissance (ISR) operations. The rapidly-increasing availability of sensing assets and other information sources poses substantial challenges to effective ISR resource management. In a coalition context, the problem is even more complex, because assets may be "owned" by different partners. We show how CE-SAM allows a user to refine and relate their ISR information needs to pre-existing concepts in an ISR knowledge base, via conversational interaction implemented on a tablet device. The knowledge base is represented using Controlled English (CE) - a form of controlled natural language that is both human-readable and machine processable (i.e. can be used to implement automated reasoning). Users interact with the CE-SAM conversational interface using natural language, which the system converts to CE for feeding-back to the user for confirmation (e.g. to reduce misunderstanding). We show that this process not only allows users to access the assets that can support their mission needs, but also assists them in extending the CE knowledge base with new concepts.

SIGMA: A Knowledge-Based Simulation Tool Applied to Ecosystem Modeling

NASA Technical Reports Server (NTRS)

Dungan, Jennifer L.; Keller, Richard; Lawless, James G. (Technical Monitor)

1994-01-01

The need for better technology to facilitate building, sharing and reusing models is generally recognized within the ecosystem modeling community. The Scientists' Intelligent Graphical Modelling Assistant (SIGMA) creates an environment for model building, sharing and reuse which provides an alternative to more conventional approaches which too often yield poorly documented, awkwardly structured model code. The SIGMA interface presents the user a list of model quantities which can be selected for computation. Equations to calculate the model quantities may be chosen from an existing library of ecosystem modeling equations, or built using a specialized equation editor. Inputs for dim equations may be supplied by data or by calculation from other equations. Each variable and equation is expressed using ecological terminology and scientific units, and is documented with explanatory descriptions and optional literature citations. Automatic scientific unit conversion is supported and only physically-consistent equations are accepted by the system. The system uses knowledge-based semantic conditions to decide which equations in its library make sense to apply in a given situation, and supplies these to the user for selection. "Me equations and variables are graphically represented as a flow diagram which provides a complete summary of the model. Forest-BGC, a stand-level model that simulates photosynthesis and evapo-transpiration for conifer canopies, was originally implemented in Fortran and subsequenty re-implemented using SIGMA. The SIGMA version reproduces daily results and also provides a knowledge base which greatly facilitates inspection, modification and extension of Forest-BGC.

An ontology for factors affecting tuberculosis treatment adherence behavior in sub-Saharan Africa.

PubMed

Ogundele, Olukunle Ayodeji; Moodley, Deshendran; Pillay, Anban W; Seebregts, Christopher J

2016-01-01

Adherence behavior is a complex phenomenon influenced by diverse personal, cultural, and socioeconomic factors that may vary between communities in different regions. Understanding the factors that influence adherence behavior is essential in predicting which individuals and communities are at risk of nonadherence. This is necessary for supporting resource allocation and intervention planning in disease control programs. Currently, there is no known concrete and unambiguous computational representation of factors that influence tuberculosis (TB) treatment adherence behavior that is useful for prediction. This study developed a computer-based conceptual model for capturing and structuring knowledge about the factors that influence TB treatment adherence behavior in sub-Saharan Africa (SSA). An extensive review of existing categorization systems in the literature was used to develop a conceptual model that captured scientific knowledge about TB adherence behavior in SSA. The model was formalized as an ontology using the web ontology language. The ontology was then evaluated for its comprehensiveness and applicability in building predictive models. The outcome of the study is a novel ontology-based approach for curating and structuring scientific knowledge of adherence behavior in patients with TB in SSA. The ontology takes an evidence-based approach by explicitly linking factors to published clinical studies. Factors are structured around five dimensions: factor type, type of effect, regional variation, cross-dependencies between factors, and treatment phase. The ontology is flexible and extendable and provides new insights into the nature of and interrelationship between factors that influence TB adherence.

An ontology for factors affecting tuberculosis treatment adherence behavior in sub-Saharan Africa

PubMed Central

Ogundele, Olukunle Ayodeji; Moodley, Deshendran; Pillay, Anban W; Seebregts, Christopher J

2016-01-01

Purpose Adherence behavior is a complex phenomenon influenced by diverse personal, cultural, and socioeconomic factors that may vary between communities in different regions. Understanding the factors that influence adherence behavior is essential in predicting which individuals and communities are at risk of nonadherence. This is necessary for supporting resource allocation and intervention planning in disease control programs. Currently, there is no known concrete and unambiguous computational representation of factors that influence tuberculosis (TB) treatment adherence behavior that is useful for prediction. This study developed a computer-based conceptual model for capturing and structuring knowledge about the factors that influence TB treatment adherence behavior in sub-Saharan Africa (SSA). Methods An extensive review of existing categorization systems in the literature was used to develop a conceptual model that captured scientific knowledge about TB adherence behavior in SSA. The model was formalized as an ontology using the web ontology language. The ontology was then evaluated for its comprehensiveness and applicability in building predictive models. Conclusion The outcome of the study is a novel ontology-based approach for curating and structuring scientific knowledge of adherence behavior in patients with TB in SSA. The ontology takes an evidence-based approach by explicitly linking factors to published clinical studies. Factors are structured around five dimensions: factor type, type of effect, regional variation, cross-dependencies between factors, and treatment phase. The ontology is flexible and extendable and provides new insights into the nature of and interrelationship between factors that influence TB adherence. PMID:27175067

Enabling High Efficiency Ethanol Engines

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

Szybist, J.; Confer, K.

2011-03-01

Delphi Automotive Systems and ORNL established this CRADA to explore the potential to improve the energy efficiency of spark-ignited engines operating on ethanol-gasoline blends. By taking advantage of the fuel properties of ethanol, such as high compression ratio and high latent heat of vaporization, it is possible to increase efficiency with ethanol blends. Increasing the efficiency with ethanol-containing blends aims to remove a market barrier of reduced fuel economy with E85 fuel blends, which is currently about 30% lower than with petroleum-derived gasoline. The same or higher engine efficiency is achieved with E85, and the reduction in fuel economy ismore » due to the lower energy density of E85. By making ethanol-blends more efficient, the fuel economy gap between gasoline and E85 can be reduced. In the partnership between Delphi and ORNL, each organization brought a unique and complementary set of skills to the project. Delphi has extensive knowledge and experience in powertrain components and subsystems as well as overcoming real-world implementation barriers. ORNL has extensive knowledge and expertise in non-traditional fuels and improving engine system efficiency for the next generation of internal combustion engines. Partnering to combine these knowledge bases was essential towards making progress to reducing the fuel economy gap between gasoline and E85. ORNL and Delphi maintained strong collaboration throughout the project. Meetings were held regularly, usually on a bi-weekly basis, with additional reports, presentations, and meetings as necessary to maintain progress. Delphi provided substantial hardware support to the project by providing components for the single-cylinder engine experiments, engineering support for hardware modifications, guidance for operational strategies on engine research, and hardware support by providing a flexible multi-cylinder engine to be used for optimizing engine efficiency with ethanol-containing fuels.« less

The role of metabolism (and the microbiome) in defining the clinical efficacy of dietary flavonoids1

PubMed Central

Cassidy, Aedín; Minihane, Anne-Marie

2017-01-01

At a population level, there is growing evidence of the beneficial effects of dietary flavonoids on health. However, there is extensive heterogeneity in the response to increased intake, which is likely mediated via wide interindividual variability in flavonoid absorption and metabolism. Flavonoids are extensively metabolized by phase I and phase II metabolism (which occur predominantly in the gastrointestinal tract and liver) and colonic microbial metabolism. A number of factors, including age, sex, and genotype, may affect these metabolic processes. In addition, food composition and flavonoid source are likely to affect bioavailability, and emerging data suggest a critical role for the microbiome. This review will focus on the current knowledge for the main subclasses of flavonoids, including anthocyanins, flavonols, flavan-3-ols, and flavanones, for which there is growing evidence from prospective studies of beneficial effects on health. The identification of key factors that govern metabolism and an understanding of how the differential capacity to metabolize these bioactive compounds affect health outcomes will help establish how to optimize intakes of flavonoids for health benefits and in specific subgroups. We identify research areas that need to be addressed to further understand important determinants of flavonoid bioavailability and metabolism and to advance the knowledge base that is required to move toward the development of dietary guidelines and recommendations for flavonoids and flavonoid-rich foods. PMID:27881391

The role of metabolism (and the microbiome) in defining the clinical efficacy of dietary flavonoids.

PubMed

Cassidy, Aedín; Minihane, Anne-Marie

2017-01-01

At a population level, there is growing evidence of the beneficial effects of dietary flavonoids on health. However, there is extensive heterogeneity in the response to increased intake, which is likely mediated via wide interindividual variability in flavonoid absorption and metabolism. Flavonoids are extensively metabolized by phase I and phase II metabolism (which occur predominantly in the gastrointestinal tract and liver) and colonic microbial metabolism. A number of factors, including age, sex, and genotype, may affect these metabolic processes. In addition, food composition and flavonoid source are likely to affect bioavailability, and emerging data suggest a critical role for the microbiome. This review will focus on the current knowledge for the main subclasses of flavonoids, including anthocyanins, flavonols, flavan-3-ols, and flavanones, for which there is growing evidence from prospective studies of beneficial effects on health. The identification of key factors that govern metabolism and an understanding of how the differential capacity to metabolize these bioactive compounds affect health outcomes will help establish how to optimize intakes of flavonoids for health benefits and in specific subgroups. We identify research areas that need to be addressed to further understand important determinants of flavonoid bioavailability and metabolism and to advance the knowledge base that is required to move toward the development of dietary guidelines and recommendations for flavonoids and flavonoid-rich foods.

Lower limb joint moment during walking in water.

PubMed

Miyoshi, Tasuku; Shirota, Takashi; Yamamoto, Shin-Ichiro; Nakazawa, Kimitaka; Akai, Masami

2003-11-04

Walking in water is a widely used rehabilitation method for patients with orthopedic disorders or arthritis, based on the belief that the reduction of weight in water makes it a safer medium and prevents secondary injuries of the lower-limb joints. To our knowledge, however, no experimental data on lower-limb joint moment during walking in water is available. The aim of this study was to quantify the joint moments of the ankle, knee, and hip during walking in water in comparison with those on land. Eight healthy volunteers walked on land and in water at a speed comfortable for them. A video-motion analysis system and waterproof force platform were used to obtain kinematic data and to calculate the joint moments. The hip joint moment was shown to be an extension moment almost throughout the stance phase during walking in water, while it changed from an extension- to flexion-direction during walking on land. The knee joint moment had two extension peaks during walking on land, whereas it had only one extension peak, a late one, during walking in water. The ankle joint moment during walking in water was considerably reduced but in the same direction, plantarflexion, as that during walking on land. The joint moments of the hip, knee, and ankle were not merely reduced during walking in water; rather, inter-joint coordination was totally changed.

An object oriented extension to CLIPS

NASA Technical Reports Server (NTRS)

Sobkowicz, Clifford

1990-01-01

A presentation of software sub-system developed to augment C Language Production Systems (CLIPS) with facilities for object oriented Knowledge representation. Functions are provided to define classes, instantiate objects, access attributes, and assert object related facts. This extension is implemented via the CLIPS user function interface and does not require modification of any CLIPS code. It does rely on internal CLIPS functions for memory management and symbol representation.

32 CFR 104.3 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... requirement in which the incumbent must gain the necessary experience to qualify for key senior leadership... incumbent possesses unique knowledge, extensive experience, and specialty skill training to successfully...

Using the DOE Knowledge Base for Special Event Analysis

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

Armstrong, H.M.; Harris, J.M.; Young, C.J.

1998-10-20

The DOE Knowledge Base is a library of detailed information whose purpose is to support the United States National Data Center (USNDC) in its mission to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). One of the important tasks which the USNDC must accomplish is to periodically perform detailed analysis of events of high interest, so-called "Special Events", to provide the national authority with information needed to make policy decisions. In this paper we investigate some possible uses of the Knowledge Base for Special Event Analysis (SEA), and make recommendations for improving Knowledge Base support for SEA. To analyzemore » an event in detail, there are two basic types of data which must be used sensor-derived data (wave- forms, arrivals, events, etc.) and regiohalized contextual data (known sources, geological characteristics, etc.). Cur- rently there is no single package which can provide full access to both types of data, so for our study we use a separate package for each MatSeis, the Sandia Labs-developed MATLAB-based seismic analysis package, for wave- form data analysis, and ArcView, an ESRI product, for contextual data analysis. Both packages are well-suited to pro- totyping because they provide a rich set of currently available functionality and yet are also flexible and easily extensible, . Using these tools and Phase I Knowledge Base data sets, we show how the Knowledge Base can improve both the speed and the quality of SEA. Empirically-derived interpolated correction information can be accessed to improve both location estimates and associated error estimates. This information can in turn be used to identi~ any known nearby sources (e.g. mines, volcanos), which may then trigger specialized processing of the sensor data. Based on the location estimate, preferred magnitude formulas and discriminants can be retrieved, and any known blockages can be identified to prevent miscalculations. Relevant historic events can be identilled either by spatial proximity searches or through waveform correlation processing. The locations and waveforms of these events can then be made available for side-by-side comparison and processing. If synthetic modeling is thought to be warranted, a wide variety of rele- vant contextu~l information (e.g. crustal thickness and layering, seismic velocities, attenuation factors) can be retrieved and sent to the appropriate applications. Once formedj the synthetics can then be brought in for side-by-side comparison and fhrther processing. Based on our study, we make two general recommendations. First, proper inter-process communication between sensor data analysis software and contextual data analysis sofisvare should be developed. Second, some of the Knowl- edge Base data sets should be prioritized or winnowed to streamline comparison with observed quantities.« less

Learning Study: Helping Teachers to Use Theory, Develop Professionally, and Produce New Knowledge to Be Shared

ERIC Educational Resources Information Center

Pang, Ming Fai; Ling, Lo Mun

2012-01-01

The lesson study approach is a systematic process for producing professional knowledge about teaching by teachers, and has spread rapidly and extensively in the United States. The learning study approach is essentially a kind of lesson study with an explicit learning theory--the variation theory of learning. In this paper, we argue that having an…

Knowledge Typologies for Professional Learning: Educators' (Re)Generation of Knowledge When Learning Open Educational Practice

ERIC Educational Resources Information Center

Hood, Nina; Littlejohn, Allison

2017-01-01

Open education resources (OER) and accompanying open education practices (OEP), are changing the education landscape. For educators to take full advantage of the opportunities OER offer they must engage in learning activities to facilitate the extension and adaption of their practice. This paper forms part of a larger study exploring how adult…

Examining High School Teachers' Knowledge of Social and Emotional Learning and Its Application in the Classroom

ERIC Educational Resources Information Center

Reardon, Mary Beth

2017-01-01

Social and emotional learning is a topic currently and increasingly scrutinized in our schools. Typically, the social and emotional skills of students are examined to assess proficiency in this area. Extensive study of social and emotional skills of teachers is rarely conducted. This study addresses the current knowledge of teachers' social and…

The Effects of Indexical and Phonetic Variation on Vowel Perception in Typically Developing 9- to 12-Year-Old Children

ERIC Educational Resources Information Center

Jacewicz, Ewa; Fox, Robert Allen

2014-01-01

Purpose: The purpose of this study was to investigate how linguistic knowledge interacts with indexical knowledge in older children's perception under demanding listening conditions created by extensive talker variability. Method: Twenty-five 9- to 12-year-old children, 12 from North Carolina (NC) and 13 from Wisconsin (WI), identified 12 vowels…

Molecular medicine of fragile X syndrome: based on known molecular mechanisms.

PubMed

Luo, Shi-Yu; Wu, Ling-Qian; Duan, Ran-Hui

2016-02-01

Extensive research on fragile X mental retardation gene knockout mice and mutant Drosophila models has largely expanded our knowledge on mechanism-based treatment of fragile X syndrome (FXS). In light of these findings, several clinical trials are now underway for therapeutic translation to humans. Electronic literature searches were conducted using the PubMed database and ClinicalTrials.gov. The search terms included "fragile X syndrome", "FXS and medication", "FXS and therapeutics" and "FXS and treatment". Based on the publications identified in this search, we reviewed the neuroanatomical abnormalities in FXS patients and the potential pathogenic mechanisms to monitor the progress of FXS research, from basic studies to clinical trials. The pathological mechanisms of FXS were categorized on the basis of neuroanatomy, synaptic structure, synaptic transmission and fragile X mental retardation protein (FMRP) loss of function. The neuroanatomical abnormalities in FXS were described to motivate extensive research into the region-specific pathologies in the brain responsible for FXS behavioural manifestations. Mechanism-directed molecular medicines were classified according to their target pathological mechanisms, and the most recent progress in clinical trials was discussed. Current mechanism-based studies and clinical trials have greatly contributed to the development of FXS pharmacological therapeutics. Research examining the extent to which these treatments provided a rescue effect or FMRP compensation for the developmental impairments in FXS patients may help to improve the efficacy of treatments.

Healthcare professionals’ hand hygiene knowledge and beliefs in the United Arab Emirates

PubMed Central

Ng, Wai Khuan; Shaban, Ramon Z.; van de Mortel, Thea

2016-01-01

Background: Hand hygiene at key moments during patient care is considered an important infection prevention and control measure to reduce healthcare-associated infections. While there is extensive research in Western settings, there is little in the United Arab Emirates where particular cultural and religious customs are thought to influence hand hygiene behaviour. Aim: To examine the hand hygiene knowledge and beliefs of health professionals at a tertiary care hospital in the United Arab Emirates. Methods: A mixed methods design employed a survey followed by focus groups with nurses and doctors. Findings: A total of 109 participants (13.6%) completed the survey: 96 nurses (88%) and 13 doctors (12%). Doctors’ hand hygiene knowledge was slightly higher than that of nurses (78.5% versus 73.5%). There was no significant difference in scores on the hand hygiene beliefs scale between nurses (M = 103.06; SD = 8.0) and doctors (M = 99.00; SD = 10.53; t (80) = 1.55; p = 0.13, two-tailed). Seven categories emerged following transcript analysis. Discussion: Hand hygiene knowledge scores suggest further hand hygiene education is required, especially on alcohol-based hand rub use. Addressing doctors’ beliefs is particularly important given the leadership roles that doctors play in healthcare settings. PMID:28989517

Semantic e-Science: From Microformats to Models

NASA Astrophysics Data System (ADS)

Lumb, L. I.; Freemantle, J. R.; Aldridge, K. D.

2009-05-01

A platform has been developed to transform semi-structured ASCII data into a representation based on the eXtensible Markup Language (XML). A subsequent transformation allows the XML-based representation to be rendered in the Resource Description Format (RDF). Editorial metadata, expressed as external annotations (via XML Pointer Language), also survives this transformation process (e.g., Lumb et al., http://dx.doi.org/10.1016/j.cageo.2008.03.009). Because the XML-to-RDF transformation uses XSLT (eXtensible Stylesheet Language Transformations), semantic microformats ultimately encode the scientific data (Lumb & Aldridge, http://dx.doi.org/10.1109/HPCS.2006.26). In building the relationship-centric representation in RDF, a Semantic Model of the scientific data is extracted. The systematic enhancement in the expressivity and richness of the scientific data results in representations of knowledge that are readily understood and manipulated by intelligent software agents. Thus scientists are able to draw upon various resources within and beyond their discipline to use in their scientific applications. Since the resulting Semantic Models are independent conceptualizations of the science itself, the representation of scientific knowledge and interaction with the same can stimulate insight from different perspectives. Using the Global Geodynamics Project (GGP) for the purpose of illustration, the introduction of GGP microformats enable a Semantic Model for the GGP that can be semantically queried (e.g., via SPARQL, http://www.w3.org/TR/rdf-sparql-query). Although the present implementation uses the Open Source Redland RDF Libraries (http://librdf.org/), the approach is generalizable to other platforms and to projects other than the GGP (e.g., Baker et al., Informatics and the 2007-2008 Electronic Geophysical Year, Eos Trans. Am. Geophys. Un., 89(48), 485-486, 2008).

Knowledge, attitude and practices regarding HIV/AIDS among adult fishermen in coastal areas of Karachi

PubMed Central

2014-01-01

Background Migrant populations are at high risk of Human Immuno Deficiency Virus infection (HIV) and Acquired Immunodeficiency Syndrome (AIDS). Studies of HIV/AIDS knowledge, attitudes and practices among fishermen in developing countries have shown gaps in knowledge and fear of contagion with ambivalent attitudes towards HIV/AIDS and inconsistent universal precautions adherence. The aim of this study was to determine the knowledge, attitude and practices regarding HIV/AIDS among adult fishermen in a coastal area of Karachi, Pakistan. Methods Community based cross sectional study was conducted among fishermen in coastal area of Karachi from June to September 2012. A total of 297 adult fishermen were selected by using simple random sampling technique from different sectors of coastal village. Data were collected using a structured validated questionnaire. The frequency distribution of both dependent and independent variables were worked out. Comparisons of knowledge, attitude and practices regarding HIV/AIDS by socio-demographic characteristics were made using logistic regression. Results Out of 297 fishermen, majority had in-appropriate knowledge (93.6%), negative attitude (75.8%) and less adherent sexual practices (91.6%). In univariate analysis, lower education and higher income were significantly associated (OR 2.25, 95% CI, 1.11, 4.55), (OR = 3.04 CI 1.03-9.02, p value 0.04) with negative attitude and un-safe practices towards HIV/AIDS respectively, whereas no significant association of socio-economic characteristics with knowledge, attitude and practices were observed in multivariate analysis. Conclusions This study suggests that fishermen had very poor knowledge, negative attitudes towards HIV and AIDS and had unsafe sexual practices which suggest that they lack the basic understanding of HIV/AIDS infection. Extensive health education campaign should be provided to the vulnerable sections of the society for the control of HIV/AIDS. PMID:24886122

Wildlife-friendly farming benefits rare birds, bees and plants.

PubMed

Pywell, Richard F; Heard, Matthew S; Bradbury, Richard B; Hinsley, Shelley; Nowakowski, Marek; Walker, Kevin J; Bullock, James M

2012-10-23

Agricultural intensification is a leading cause of global biodiversity loss, especially for threatened and near-threatened species. One widely implemented response is 'wildlife-friendly farming', involving the close integration of conservation and extensive farming practices within agricultural landscapes. However, the putative benefits from this controversial policy are currently either unknown or thought unlikely to extend to rare and declining species. Here, we show that new, evidence-based approaches to habitat creation on intensively managed farmland in England can achieve large increases in plant, bee and bird species. In particular, we found that habitat enhancement methods designed to provide the requirements of sensitive target biota consistently increased the richness and abundance of both rare and common species, with 10-fold to greater than 100-fold more rare species per sample area than generalized conventional conservation measures. Furthermore, targeting landscapes of high species richness amplified beneficial effects on the least mobile taxa: plants and bees. Our results provide the first unequivocal support for a national wildlife-friendly farming policy and suggest that this approach should be implemented much more extensively to address global biodiversity loss. However, to be effective, these conservation measures must be evidence-based, and developed using sound knowledge of the ecological requirements of key species.

Stopping electric field extension in a modified nanostructure based on SOI technology - A comprehensive numerical study

NASA Astrophysics Data System (ADS)

Anvarifard, Mohammad K.; Orouji, Ali A.

2017-11-01

This article has related a particular knowledge in order to reduce short channel effects (SCEs) in nano-devices based on silicon-on-insulator (SOI) MOSFETs. The device under study has been designed in 22 nm node technology with embedding Si3N4 extra oxide as a stopping layer of electric field and a useful heatsink for transferring generated heat. Two important subjects (DC characteristics and RF characteristics) have been investigated, simultaneously. Stopping electric field extension and enhancement of channel thermal conduction are introduced as an entrance gateway for this work so that improve the electrical characteristics, eventually. The inserted extra oxide made by the Si3N4 material has a vital impact on the modification of the electrical and thermal features in the proposed device. An immense comparison between the proposed SOI and conventional SOI showed that the proposed structure has higher electrical and thermal proficiency than the conventional structure in terms of main parameters such as short channel effects (SCEs), leakage current, floating body effect (FBE), self-heating effect (SHE), voltage gain, ratio of On-current to Off- current, transconductance, output conductance, minimum noise figure and power gain.

The Era of International Space Station Utilization Begins: Research Strategy, International Collaboration, and Realized Potential

NASA Technical Reports Server (NTRS)

Thumm, Tracy; Robinson, Julie A.; Ruttley, Tara; Johnson-Green, Perry; Karabadzhak, George; Nakamura, Tai; Sorokin, Igor V.; Zell, Martin; Jean, Sabbagh

2010-01-01

With the assembly of the International Space Station (ISS) nearing completion and the support of a full-time crew of six, a new era of utilization for research is beginning. For more than 15 years, the ISS international partnership has weathered financial, technical and political challenges proving that nations can work together to complete assembly of the largest space vehicle in history. And while the ISS partners can be proud of having completed one of the most ambitious engineering projects ever conceived, the challenge of successfully using the platform remains. During the ISS assembly phase, the potential benefits of space-based research and development were demonstrated; including the advancement of scientific knowledge based on experiments conducted in space, development and testing of new technologies, and derivation of Earth applications from new understanding. The configurability and human-tended capabilities of the ISS provide a unique platform. The international utilization strategy is based on research ranging from physical sciences, biology, medicine, psychology, to Earth observation, human exploration preparation and technology demonstration. The ability to complete follow-on investigations in a period of months allows researchers to make rapid advances based on new knowledge gained from ISS activities. During the utilization phase, the ISS partners are working together to track the objectives, accomplishments, and the applications of the new knowledge gained. This presentation will summarize the consolidated international results of these tracking activities and approaches. Areas of current research on ISS with strong international cooperation will be highlighted including cardiovascular studies, cell and plant biology studies, radiation, physics of matter, and advanced alloys. Scientific knowledge and new technologies derived from research on the ISS will be realized through improving quality of life on Earth and future spaceflight endeavours. Extension of the ISS through 2020 and beyond will insure that the benefits of research will be achievable for the International Partnership.

Interactive Learning Program (ILP)- a concept for life long learning and Capacity Building of Stakeholders in Integrated Flood Management (IFM)

NASA Astrophysics Data System (ADS)

Pasche, E.; Manojlovic, N.; Basener, S.; Behzadnia, N.

2009-04-01

In the paradigm shift in flood management from traditional to more integrated approach the key to initialising this transition stage is capacity building of stakeholders. It supports the effective participation of stakeholders within their role by giving the individuals/professionals and institutions required knowledge and skills. Such a process of empowering targeted stakeholder groups should be based on the interactive learning rather than mere delivering of flood related information. It can be achieved by initiating the learning process and developing life-long learning programs in form of blended learning that combines both, supervised online and face-to-face approaches. The learning concept based on the didactic principle of Kolb/Fry, has been used as a basis for development of the Interactive Learning Program (ILP) presented in this paper. Kolb/Fry define learning as a cyclic process dividing it into four steps: concrete experience, reflection & observation, forming abstract concepts, testing of acquainted knowledge in new situations. As the knowledge to understand the complexity of IFM is extensive and required level usually cannot be achieved within the face-to-face phase, additional autodidactic learning module tailored to the individual skills should be included in the learning program. ILP combines both, the face-to-face sessions following the Kolb?s learning cycle including theoretical and practical aspects and autodidactic phase by means of the e-learning platform based on the web dissemination strategy for IFM- Kalypso Inform (Pasche/Kraus/Manojlovic). According to this strategy, the access to the flood related information is enabled through three different modules Tutorial, Knowledge Base and Virtual Trainer enabling interaction with the system. This ILP is generic and can be tailored to requirements of different stakeholder groups depending on their role and level of integration in IFM. The first results, obtained for both public and private stakeholders, are encouraging indicating that such concepts should become a substantial part of the IFM.

Force user's manual, revised

NASA Technical Reports Server (NTRS)

Jordan, Harry F.; Benten, Muhammad S.; Arenstorf, Norbert S.; Ramanan, Aruna V.

1987-01-01

A methodology for writing parallel programs for shared memory multiprocessors has been formalized as an extension to the Fortran language and implemented as a macro preprocessor. The extended language is known as the Force, and this manual describes how to write Force programs and execute them on the Flexible Computer Corporation Flex/32, the Encore Multimax and the Sequent Balance computers. The parallel extension macros are described in detail, but knowledge of Fortran is assumed.

A bioinformatics approach for precision medicine off-label drug drug selection among triple negative breast cancer patients.

PubMed

Cheng, Lijun; Schneider, Bryan P; Li, Lang

2016-07-01

Cancer has been extensively characterized on the basis of genomics. The integration of genetic information about cancers with data on how the cancers respond to target based therapy to help to optimum cancer treatment. The increasing usage of sequencing technology in cancer research and clinical practice has enormously advanced our understanding of cancer mechanisms. The cancer precision medicine is becoming a reality. Although off-label drug usage is a common practice in treating cancer, it suffers from the lack of knowledge base for proper cancer drug selections. This eminent need has become even more apparent considering the upcoming genomics data. In this paper, a personalized medicine knowledge base is constructed by integrating various cancer drugs, drug-target database, and knowledge sources for the proper cancer drugs and their target selections. Based on the knowledge base, a bioinformatics approach for cancer drugs selection in precision medicine is developed. It integrates personal molecular profile data, including copy number variation, mutation, and gene expression. By analyzing the 85 triple negative breast cancer (TNBC) patient data in the Cancer Genome Altar, we have shown that 71.7% of the TNBC patients have FDA approved drug targets, and 51.7% of the patients have more than one drug target. Sixty-five drug targets are identified as TNBC treatment targets and 85 candidate drugs are recommended. Many existing TNBC candidate targets, such as Poly (ADP-Ribose) Polymerase 1 (PARP1), Cell division protein kinase 6 (CDK6), epidermal growth factor receptor, etc., were identified. On the other hand, we found some additional targets that are not yet fully investigated in the TNBC, such as Gamma-Glutamyl Hydrolase (GGH), Thymidylate Synthetase (TYMS), Protein Tyrosine Kinase 6 (PTK6), Topoisomerase (DNA) I, Mitochondrial (TOP1MT), Smoothened, Frizzled Class Receptor (SMO), etc. Our additional analysis of target and drug selection strategy is also fully supported by the drug screening data on TNBC cell lines in the Cancer Cell Line Encyclopedia. The proposed bioinformatics approach lays a foundation for cancer precision medicine. It supplies much needed knowledge base for the off-label cancer drug usage in clinics. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

PubMed Central

Anderson, Sarah J.; Hecker, Kent G.; Krigolson, Olave E.; Jamniczky, Heather A.

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise. PMID:29467638

A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention-A Neuroeducation Study.

PubMed

Anderson, Sarah J; Hecker, Kent G; Krigolson, Olave E; Jamniczky, Heather A

2018-01-01

In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

A Collaborative Extensible User Environment for Simulation and Knowledge Management

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

Freedman, Vicky L.; Lansing, Carina S.; Porter, Ellen A.

2015-06-01

In scientific simulation, scientists use measured data to create numerical models, execute simulations and analyze results from advanced simulators executing on high performance computing platforms. This process usually requires a team of scientists collaborating on data collection, model creation and analysis, and on authorship of publications and data. This paper shows that scientific teams can benefit from a user environment called Akuna that permits subsurface scientists in disparate locations to collaborate on numerical modeling and analysis projects. The Akuna user environment is built on the Velo framework that provides both a rich client environment for conducting and analyzing simulations andmore » a Web environment for data sharing and annotation. Akuna is an extensible toolset that integrates with Velo, and is designed to support any type of simulator. This is achieved through data-driven user interface generation, use of a customizable knowledge management platform, and an extensible framework for simulation execution, monitoring and analysis. This paper describes how the customized Velo content management system and the Akuna toolset are used to integrate and enhance an effective collaborative research and application environment. The extensible architecture of Akuna is also described and demonstrates its usage for creation and execution of a 3D subsurface simulation.« less

TrustBuilder2: A Reconfigurable Framework for Trust Negotiation

NASA Astrophysics Data System (ADS)

Lee, Adam J.; Winslett, Marianne; Perano, Kenneth J.

To date, research in trust negotiation has focused mainly on the theoretical aspects of the trust negotiation process, and the development of proof of concept implementations. These theoretical works and proofs of concept have been quite successful from a research perspective, and thus researchers must now begin to address the systems constraints that act as barriers to the deployment of these systems. To this end, we present TrustBuilder2, a fully-configurable and extensible framework for prototyping and evaluating trust negotiation systems. TrustBuilder2 leverages a plug-in based architecture, extensible data type hierarchy, and flexible communication protocol to provide a framework within which numerous trust negotiation protocols and system configurations can be quantitatively analyzed. In this paper, we discuss the design and implementation of TrustBuilder2, study its performance, examine the costs associated with flexible authorization systems, and leverage this knowledge to identify potential topics for future research, as well as a novel method for attacking trust negotiation systems.

A Survey of Noninteractive Zero Knowledge Proof System and Its Applications

PubMed Central

Wu, Huixin; Wang, Feng

2014-01-01

Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. Thereinto, noninteractive zero knowledge proof system contains only one message sent by the prover to the verifier. It is widely used in the construction of various types of cryptographic protocols and cryptographic algorithms because of its good privacy, authentication, and lower interactive complexity. This paper reviews and analyzes the basic principles of noninteractive zero knowledge proof system, and summarizes the research progress achieved by noninteractive zero knowledge proof system on the following aspects: the definition and related models of noninteractive zero knowledge proof system, noninteractive zero knowledge proof system of NP problems, noninteractive statistical and perfect zero knowledge, the connection between noninteractive zero knowledge proof system, interactive zero knowledge proof system, and zap, and the specific applications of noninteractive zero knowledge proof system. This paper also points out the future research directions. PMID:24883407

Impact of extension interventions in improving livelihood of dairy farmers of Nadia district of West Bengal, India.

PubMed

Garai, Suman; Garai, Sanchita; Maiti, Sanjit; Meena, B S; Ghosh, M K; Bhakat, Champak; Dutta, T K

2017-03-01

Livestock is a one of the major sources of livelihood for most of the small and marginal farmers in India, particularly for rural households who live in below poverty line. Extension interventions have long been seen as a key element for enabling farmers to obtain information and technologies that can improve their livelihoods. It is also recognized that extension is an important factor in promoting dairy development. Ex-post-facto cause to effect research design was applied in this study to trace out the impact of extension interventions in improving knowledge, attitude, adoption towards scientific dairy farming practices and improvement in milk production of dairy animal and income from dairying which will be resulted into improved livelihood of rural poor in Nadia district of West Bengal, India. Therefore, 60 dairy farmers of experimental villages who were considered as beneficiaries and 60 dairy farmers of control villages who were considered as non-beneficiaries were selected as sample for the study. It was found that beneficiaries had significantly higher score in all the five components of livelihood improvement with its all sub components, i.e., knowledge, attitude, adoption of scientific dairy farming practices, milk production per household per day and monthly income from dairying except disease control, and marketing component of adoption. Hence, it may be concluded that extension interventions had a significant impact on improving livelihood of rural dairy farmers in Nadia district of West Bengal, India.

Biomedical question answering using semantic relations.

PubMed

Hristovski, Dimitar; Dinevski, Dejan; Kastrin, Andrej; Rindflesch, Thomas C

2015-01-16

The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) systems have made important strides in recent decades, the problem of accurate knowledge extraction from the biomedical literature is far from solved. Classical IR systems usually return a list of documents that have to be read by the user to extract relevant information. This tedious and time-consuming work can be lessened with automatic Question Answering (QA) systems, which aim to provide users with direct and precise answers to their questions. In this work we propose a novel methodology for QA based on semantic relations extracted from the biomedical literature. We extracted semantic relations with the SemRep natural language processing system from 122,421,765 sentences, which came from 21,014,382 MEDLINE citations (i.e., the complete MEDLINE distribution up to the end of 2012). A total of 58,879,300 semantic relation instances were extracted and organized in a relational database. The QA process is implemented as a search in this database, which is accessed through a Web-based application, called SemBT (available at http://sembt.mf.uni-lj.si ). We conducted an extensive evaluation of the proposed methodology in order to estimate the accuracy of extracting a particular semantic relation from a particular sentence. Evaluation was performed by 80 domain experts. In total 7,510 semantic relation instances belonging to 2,675 distinct relations were evaluated 12,083 times. The instances were evaluated as correct 8,228 times (68%). In this work we propose an innovative methodology for biomedical QA. The system is implemented as a Web-based application that is able to provide precise answers to a wide range of questions. A typical question is answered within a few seconds. The tool has some extensions that make it especially useful for interpretation of DNA microarray results.

AT_CHLORO, a comprehensive chloroplast proteome database with subplastidial localization and curated information on envelope proteins.

PubMed

Ferro, Myriam; Brugière, Sabine; Salvi, Daniel; Seigneurin-Berny, Daphné; Court, Magali; Moyet, Lucas; Ramus, Claire; Miras, Stéphane; Mellal, Mourad; Le Gall, Sophie; Kieffer-Jaquinod, Sylvie; Bruley, Christophe; Garin, Jérôme; Joyard, Jacques; Masselon, Christophe; Rolland, Norbert

2010-06-01

Recent advances in the proteomics field have allowed a series of high throughput experiments to be conducted on chloroplast samples, and the data are available in several public databases. However, the accurate localization of many chloroplast proteins often remains hypothetical. This is especially true for envelope proteins. We went a step further into the knowledge of the chloroplast proteome by focusing, in the same set of experiments, on the localization of proteins in the stroma, the thylakoids, and envelope membranes. LC-MS/MS-based analyses first allowed building the AT_CHLORO database (http://www.grenoble.prabi.fr/protehome/grenoble-plant-proteomics/), a comprehensive repertoire of the 1323 proteins, identified by 10,654 unique peptide sequences, present in highly purified chloroplasts and their subfractions prepared from Arabidopsis thaliana leaves. This database also provides extensive proteomics information (peptide sequences and molecular weight, chromatographic retention times, MS/MS spectra, and spectral count) for a unique chloroplast protein accurate mass and time tag database gathering identified peptides with their respective and precise analytical coordinates, molecular weight, and retention time. We assessed the partitioning of each protein in the three chloroplast compartments by using a semiquantitative proteomics approach (spectral count). These data together with an in-depth investigation of the literature were compiled to provide accurate subplastidial localization of previously known and newly identified proteins. A unique knowledge base containing extensive information on the proteins identified in envelope fractions was thus obtained, allowing new insights into this membrane system to be revealed. Altogether, the data we obtained provide unexpected information about plastidial or subplastidial localization of some proteins that were not suspected to be associated to this membrane system. The spectral counting-based strategy was further validated as the compartmentation of well known pathways (for instance, photosynthesis and amino acid, fatty acid, or glycerolipid biosynthesis) within chloroplasts could be dissected. It also allowed revisiting the compartmentation of the chloroplast metabolism and functions.

A general framework to learn surrogate relevance criterion for atlas based image segmentation

NASA Astrophysics Data System (ADS)

Zhao, Tingting; Ruan, Dan

2016-09-01

Multi-atlas based image segmentation sees great opportunities in the big data era but also faces unprecedented challenges in identifying positive contributors from extensive heterogeneous data. To assess data relevance, image similarity criteria based on various image features widely serve as surrogates for the inaccessible geometric agreement criteria. This paper proposes a general framework to learn image based surrogate relevance criteria to better mimic the behaviors of segmentation based oracle geometric relevance. The validity of its general rationale is verified in the specific context of fusion set selection for image segmentation. More specifically, we first present a unified formulation for surrogate relevance criteria and model the neighborhood relationship among atlases based on the oracle relevance knowledge. Surrogates are then trained to be small for geometrically relevant neighbors and large for irrelevant remotes to the given targets. The proposed surrogate learning framework is verified in corpus callosum segmentation. The learned surrogates demonstrate superiority in inferring the underlying oracle value and selecting relevant fusion set, compared to benchmark surrogates.

High resolution 2D numerical models from rift to break-up: Crustal hyper-extension, Margin asymmetry, Sequential faulting

NASA Astrophysics Data System (ADS)

Brune, Sascha; Heine, Christian; Pérez-Gussinyé, Marta; Sobolev, Stephan

2013-04-01

Numerical modelling is a powerful tool to integrate a multitude of geological and geophysical data while addressing fundamental questions of passive margin formation such as the occurrence of crustal hyper-extension, (a-)symmetries between conjugate margin pairs, and the sometimes significant structural differences between adjacent margin segments. This study utilises knowledge gathered from two key examples of non-magmatic, asymmetric, conjugate margin pairs, i.e. Iberia-New Foundland and Southern Africa-Brazil, where many published seismic lines provide solid knowledge on individual margin geometry. While both margins involve crustal hyper-extension, it is much more pronounced in the South Atlantic. We investigate the evolution of these two margin pairs by carefully constraining our models with detailed plate kinematic history, laboratory-based rheology, and melt fraction evaluation of mantle upwelling. Our experiments are consistent with observed fault patterns, crustal thickness, and basin stratigraphy. We conduct 2D thermomechanical rift models using the finite element code SLIM3D that operates with nonlinear stress- and temperature-dependent elasto-visco-plastic rheology, with parameters provided by laboratory experiments on major crustal and upper mantle rocks. In our models we also calculate the melt fraction within the upwelling asthenosphere, which allows us to control whether the model indeed corresponds to the non-magmatic margin type or not. Our modelling highlights two processes as fundamental for the formation of hyper-extension and margin asymmetry at non-magmatic margins: (1) Strain hardening in the rift center due to cooling of upwelling mantle material (2) The formation of a weak crustal domain adjacent to the rift center caused by localized viscous strain softening and heat transfer from the mantle. Simultaneous activity of both processes promotes lateral rift migration in a continuous way that generates a wide layer of hyper-extended crust on one side of the rift basin. This mechanism implies that syn-rift deformation at the distal margin postdates faulting at the proximal margin by several million years. The succession of events holds intriguing implications not only for peak heat flow migration but also for processes like serpentinization and magmatic underplating.

Linking hunter knowledge with forest change to understand changing deer harvest opportunities in intensively logged landscapes

Treesearch

Tidd J. Brinkman; Terry Chapin; Gary Kofinas; David K. Person

2009-01-01

The effects of landscape changes caused by intensive logging on the availability of wild game are important when the harvest of wild game is a critical cultural practice, food source, and recreational activity. We assessed the influence of extensive industrial logging on the availability of wild game by drawing on local knowledge and ecological science to evaluate the...

Shaping Collective Functions in Privatized Agricultural Knowledge and Information Systems: The Positioning and Embedding of a Network Broker in the Dutch Dairy Sector

ERIC Educational Resources Information Center

Klerkx, Laurens; Leeuwis, Cees

2009-01-01

This paper examines new organizational arrangements that have emerged in the context of a privatized extension system. It investigates the positioning and embedding of a network broker aimed at enhancing interaction in the privatized agricultural knowledge and information system (AKIS), to assess whether tensions reported in other sectors also…

Structure-activity relationships and prediction of the phototoxicity and phototoxic potential of new drugs.

PubMed

Barratt, Martin D

2004-11-01

Relationships between the structure and properties of chemicals can be programmed into knowledge-based systems such as DEREK for Windows (DEREK is an acronym for "Deductive Estimation of Risk from Existing Knowledge"). The DEREK for Windows computer system contains a subset of over 60 rules describing chemical substructures (toxophores) responsible for skin sensitisation. As part of the European Phototox Project, the rule base was supplemented by a number of rules for the prospective identification of photoallergens, either by extension of the scope of existing rules or by the generation of new rules where a sound mechanistic rationale for the biological activity could be established. The scope of the rules for photoallergenicity was then further refined by assessment against a list of chemicals identified as photosensitisers by the Centro de Farmacovigilancia de la Comunidad Valenciana, Valencia, Spain. This paper contains an analysis of the mechanistic bases of activity for eight important groups of photoallergens and phototoxins, together with rules for the prospective identification of the photobiological activity of new or untested chemicals belonging to those classes. The mechanism of action of one additional chemical, nitrofurantoin, is well established; however, it was deemed inappropriate to write a rule on the basis of a single chemical structure.

Development, Theoretical Framework, and Outcome Evaluation from Implementation of a Parent and Teacher-Delivered Adolescent Intervention on Adolescent Vaccination

PubMed Central

Gargano, Lisa M.; Herbert, Natasha L.; Painter, Julia E.; Sales, Jessica M.; Vogt, Tara M.; Morfaw, Christopher; Jones, LaDawna M.; Murray, Dennis; DiClemente, Ralph J.; Hughes, James M.

2017-01-01

The Advisory Committee on Immunization Practices recommended immunization schedule for adolescents includes three vaccines (Tdap, HPV, and MCV4) and annual influenza vaccination. Given the increasing number of recommended vaccines for adolescents and health and economic costs associated with non-vaccination, it is imperative that effective strategies for increasing vaccination rates among adolescents be developed. This article describes the development, theoretical framework, and initial first-year evaluation of an intervention designed to promote vaccine acceptance among a middle- and high-school based sample of adolescents and their parents in eastern Georgia. Adolescents, parents, and teachers were active participants in the development of the intervention. The intervention, which consisted of a brochure for parents and a teacher-delivered curriculum for adolescents, was guided by constructs from the Health Belief Model and Theory of Reasoned Action. Evaluation results indicated that our intervention development methods were successful in creating a brochure that met cultural relevance and literacy needs of parents. We also demonstrated an increase in student knowledge of and attitudes toward vaccines. To our knowledge, this study is the first to extensively engage middle- and high-school students, parents, and teachers in the design and implementation of key theory-based educational components of a school-based, teacher-delivered adolescent vaccination intervention. PMID:24440920

A two-level structure for advanced space power system automation

NASA Technical Reports Server (NTRS)

Loparo, Kenneth A.; Chankong, Vira

1990-01-01

The tasks to be carried out during the three-year project period are: (1) performing extensive simulation using existing mathematical models to build a specific knowledge base of the operating characteristics of space power systems; (2) carrying out the necessary basic research on hierarchical control structures, real-time quantitative algorithms, and decision-theoretic procedures; (3) developing a two-level automation scheme for fault detection and diagnosis, maintenance and restoration scheduling, and load management; and (4) testing and demonstration. The outlines of the proposed system structure that served as a master plan for this project, work accomplished, concluding remarks, and ideas for future work are also addressed.

Natural products as reservoirs of novel therapeutic agents

PubMed Central

Mushtaq, Sadaf; Abbasi, Bilal Haider; Uzair, Bushra; Abbasi, Rashda

2018-01-01

Since ancient times, natural products from plants, animals, microbial and marine sources have been exploited for treatment of several diseases. The knowledge of our ancestors is the base of modern drug discovery process. However, due to the presence of extensive biodiversity in natural sources, the percentage of secondary metabolites screened for bioactivity is low. This review aims to provide a brief overview of historically significant natural therapeutic agents along with some current potential drug candidates. It will also provide an insight into pros and cons of natural product discovery and how development of recent approaches has answered the challenges associated with it. PMID:29805348

[Imaging of odontogenic tumors of the maxilla].

PubMed

Martin-Duverneuil, N; Sahli-Amor, M; Chiras, J

2009-05-01

Odontogenic tumors of the maxilla are frequent, mainly represented by cysts of the jaw. However, this group of tumors include a large number of potentially intricate pathologies whose evolution is dominated by frequent recurrences justifying long-term follow-up. When such a lesion is discovered, evaluation of imaging features combined with an extensive knowledge of the different patterns of other lesions (particularly their potentially evolutive patterns related to growth) can often suggest the diagnosis. While definitive diagnosis frequently relies on histology, it is not rare that the patterns are so intricate that final diagnosis is based on a correlation between clinical, imaging and histological findings.

Geometric pre-patterning based tuning of the period doubling onset strain during thin film wrinkling

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

Saha, Sourabh K.

Wrinkling of supported thin films is an easy-to-implement and low-cost fabrication technique for generation of stretch-tunable periodic micro and nano-scale structures. However, the tunability of such structures is often limited by the emergence of an undesirable period doubled mode at high strains. Predictively tuning the onset strain for period doubling via existing techniques requires one to have extensive knowledge about the nonlinear pattern formation behavior. Herein, a geometric pre-patterning based technique is introduced to delay the onset of period doubling that can be implemented to predictively tune the onset strain even with limited system knowledge. The technique comprises pre-patterning themore » film/base bilayer with a sinusoidal pattern that has the same period as the natural wrinkle period of the system. The effectiveness of this technique has been verified via physical and computational experiments on the polydimethylsiloxane/glass bilayer system. It is observed that the period doubling onset strain can be increased from the typical value of 20% for flat films to greater than 30% with a modest pre-pattern aspect ratio (2∙amplitude/period) of 0.15. In addition, finite element simulations reveal that (i) the onset strain can be increased up to a limit by increasing the amplitude of the pre-patterns and (ii) the delaying effect can be captured entirely by the pre-pattern geometry. As a result, one can implement this technique even with limited system knowledge, such as material properties or film thickness, by simply replicating pre-existing wrinkled patterns to generate prepatterned bilayers. Thus, geometric pre-patterning is a practical scheme to suppress period doubling that can increase the operating range of stretch-tunable wrinkle-based devices by at least 50%.« less

Academic Health Center Management of Chronic Diseases through Knowledge Networks: Project ECHO

PubMed Central

Arora, Sanjeev; Geppert, Cynthia M. A.; Kalishman, Summers; Dion, Denise; Pullara, Frank; Bjeletich, Barbara; Simpson, Gary; Alverson, Dale C.; Moore, Lori B.; Kuhl, Dave; Scaletti, Joseph V.

2013-01-01

The authors describe an innovative academic health center (AHC)-led program of health care delivery and clinical education for the management of complex, common, and chronic diseases in underserved areas, using hepatitis C virus (HCV) as a model. The program, based at the University of New Mexico School of Medicine, represents a paradigm shift in thinking and funding for the threefold mission of AHCs, moving from traditional fee-for-service models to public health funding of knowledge networks. This program, Project Extension for Community Healthcare Outcomes (ECHO), involves a partnership of academic medicine, public health offices, corrections departments, and rural community clinics dedicated to providing best practices and protocol-driven health care in rural areas. Telemedicine and Internet connections enable specialists in the program to comanage patients with complex diseases, using case-based knowledge networks and learning loops. Project ECHO partners (nurse practitioners, primary care physicians, physician assistants, and pharmacists) present HCV-positive patients during weekly two-hour telemedicine clinics using a standardized, case-based format that includes discussion of history, physical examination, test results, treatment complications, and psychiatric, medical, and substance abuse issues. In these case-based learning clinics, partners rapidly gain deep domain expertise in HCV as they collaborate with university specialists in hepatology, infectious disease, psychiatry, and substance abuse in comanaging their patients. Systematic monitoring of treatment outcomes is an integral aspect of the project. The authors believe this methodology will be generalizable to other complex and chronic conditions in a wide variety of underserved areas to improve disease outcomes, and it offers an opportunity for AHCs to enhance and expand their traditional mission of teaching, patient care, and research. PMID:17264693

Ethical Issues Surrounding Personalized Medicine: A Literature Review.

PubMed

Salari, Pooneh; Larijani, Bagher

2017-03-01

More than a decade ago, personalized medicine was presented in modern medicine. Personalized medicine means that the right drug should be prescribed for the right patient based on genetic data. No doubt is developing medical sciences, and its shift into personalized medicine complicates ethical challenges more than before. In this review, we categorized all probable ethical considerations of personalized medicine in research and development and service provision. Based on our review, extensive changes in healthcare system including ethical changes are needed to overcome the ethical obstacles including knowledge gap and informed consent, privacy and confidentiality and availability of healthcare services. Furthermore social benefit versus science development and individual benefit should be balanced. Therefore guidelines and regulations should be compiled to represent the ethical framework; also ethical decision making should be day-to-day and individualized.

The Partisan Brain: An Identity-Based Model of Political Belief.

PubMed

Van Bavel, Jay J; Pereira, Andrea

2018-03-01

Democracies assume accurate knowledge by the populace, but the human attraction to fake and untrustworthy news poses a serious problem for healthy democratic functioning. We articulate why and how identification with political parties - known as partisanship - can bias information processing in the human brain. There is extensive evidence that people engage in motivated political reasoning, but recent research suggests that partisanship can alter memory, implicit evaluation, and even perceptual judgments. We propose an identity-based model of belief for understanding the influence of partisanship on these cognitive processes. This framework helps to explain why people place party loyalty over policy, and even over truth. Finally, we discuss strategies for de-biasing information processing to help to create a shared reality across partisan divides. Copyright © 2018 Elsevier Ltd. All rights reserved.

QPA-CLIPS: A language and representation for process control

NASA Technical Reports Server (NTRS)

Freund, Thomas G.

1994-01-01

QPA-CLIPS is an extension of CLIPS oriented towards process control applications. Its constructs define a dependency network of process actions driven by sensor information. The language consists of three basic constructs: TASK, SENSOR, and FILTER. TASK's define the dependency network describing alternative state transitions for a process. SENSOR's and FILTER's define sensor information sources used to activate state transitions within the network. Deftemplate's define these constructs and their run-time environment is an interpreter knowledge base, performing pattern matching on sensor information and so activating TASK's in the dependency network. The pattern matching technique is based on the repeatable occurrence of a sensor data pattern. QPA-CIPS has been successfully tested on a SPARCStation providing supervisory control to an Allen-Bradley PLC 5 controller driving molding equipment.

User interface support

NASA Technical Reports Server (NTRS)

Lewis, Clayton; Wilde, Nick

1989-01-01

Space construction will require heavy investment in the development of a wide variety of user interfaces for the computer-based tools that will be involved at every stage of construction operations. Using today's technology, user interface development is very expensive for two reasons: (1) specialized and scarce programming skills are required to implement the necessary graphical representations and complex control regimes for high-quality interfaces; (2) iteration on prototypes is required to meet user and task requirements, since these are difficult to anticipate with current (and foreseeable) design knowledge. We are attacking this problem by building a user interface development tool based on extensions to the spreadsheet model of computation. The tool provides high-level support for graphical user interfaces and permits dynamic modification of interfaces, without requiring conventional programming concepts and skills.

An expert system shell for inferring vegetation characteristics

NASA Technical Reports Server (NTRS)

Harrison, P. Ann; Harrison, Patrick R.

1992-01-01

The NASA VEGetation Workbench (VEG) is a knowledge based system that infers vegetation characteristics from reflectance data. The report describes the extensions that have been made to the first generation version of VEG. An interface to a file of unkown cover type data has been constructed. An interface that allows the results of VEG to be written to a file has been implemented. A learning system that learns class descriptions from a data base of historical cover type data and then uses the learned class descriptions to classify an unknown sample has been built. This system has an interface that integrates it into the rest of VEG. The VEG subgoal PROPORTION.GROUND.COVER has been completed and a number of additional techniques that infer the proportion ground cover of a sample have been implemented.

Knowledge and attitudes of nurses on pressure ulcer prevention: a cross-sectional multicenter study in Belgian hospitals.

PubMed

Beeckman, Dimitri; Defloor, Tom; Schoonhoven, Lisette; Vanderwee, Katrien

2011-09-01

Evidence-based guidelines for pressure ulcer prevention have been developed and promoted by authoritative organizations. However, nonadherence to these guidelines is frequently reported. Negative attitudes and lack of knowledge may act as barriers to using guidelines in clinical practice. To study the knowledge and attitudes of nurses about pressure ulcer prevention in Belgian hospitals and to explore the correlation between knowledge, attitudes, and the application of adequate prevention. A cross-sectional multicenter study was performed in a random sample of 14 Belgian hospitals, representing 207 wards. Out of that group, 94 wards were randomly selected (2105 patients). Clinical observations were performed to assess the adequacy of pressure ulcer prevention and pressure ulcer prevalence. From each participating ward, a random selection of at least five nurses completed an extensively validated knowledge and attitude instrument. In total, 553 nurses participated. A logistic regression analysis was performed to evaluate the correlation between knowledge, attitudes, and the application of adequate prevention. Pressure ulcer prevalence (Category I-IV) was 13.5% (284/2105). Approximately 30% (625/2105) of the patients were at risk (Bradenscore <17 and/or presence of pressure ulcer). Only 13.9% (87/625) of these patients received fully adequate prevention whilst in bed and when seated. The mean knowledge and attitude scores were 49.7% and 71.3%, respectively. The application of adequate prevention on a nursing ward was significantly correlated with the attitudes of the nurses (OR = 3.07, p = .05). No independent correlation was found between knowledge and the application of adequate prevention (OR = 0.75, p = .71). Knowledge of nurses in Belgian hospitals about the prevention of pressure ulcers is inadequate. The attitudes of nurses toward pressure ulcers are significantly correlated with the application of adequate prevention. No correlation was found between knowledge and the application of adequate prevention. Copyright ©2011 Sigma Theta Tau International.

Evaluation of a school-based diabetes education intervention, an extension of Program ENERGY

NASA Astrophysics Data System (ADS)

Conner, Matthew David

Background: The prevalence of both obesity and type 2 diabetes in the United States has increased over the past two decades and rates remain high. The latest data from the National Center for Health Statistics estimates that 36% of adults and 17% of children and adolescents in the US are obese (CDC Adult Obesity, CDC Childhood Obesity). Being overweight or obese greatly increases one's risk of developing several chronic diseases, such as type 2 diabetes. Approximately 8% of adults in the US have diabetes, type 2 diabetes accounts for 90-95% of these cases. Type 2 diabetes in children and adolescents is still rare, however clinical reports suggest an increase in the frequency of diagnosis (CDC Diabetes Fact Sheet, 2011). Results from the Diabetes Prevention Program show that the incidence of type 2 diabetes can be reduced through the adoption of a healthier lifestyle among high-risk individuals (DPP, 2002). Objectives: This classroom-based intervention included scientific coverage of energy balance, diabetes, diabetes prevention strategies, and diabetes management. Coverage of diabetes management topics were included in lesson content to further the students' understanding of the disease. Measurable short-term goals of the intervention included increases in: general diabetes knowledge, diabetes management knowledge, and awareness of type 2 diabetes prevention strategies. Methods: A total of 66 sixth grade students at Tavelli Elementary School in Fort Collins, CO completed the intervention. The program consisted of nine classroom-based lessons; students participated in one lesson every two weeks. The lessons were delivered from November of 2005 to May of 2006. Each bi-weekly lesson included a presentation and interactive group activities. Participants completed two diabetes knowledge questionnaires at baseline and post intervention. A diabetes survey developed by Program ENERGY measured general diabetes knowledge and awareness of type 2 diabetes prevention strategies. The second questionnaire, adapted from a survey developed for the Starr County Diabetes Education Study (Garcia et al, 2001), measured general diabetes and diabetes management knowledge. A comparison group, a total of 19 students, also completed both surveys during the study period. Results: Significant increases (p<0.05) were seen in the post-intervention study group in general diabetes knowledge, diabetes management knowledge, and awareness of diabetes prevention strategies, when compared to the baseline study group and comparison group.

Addressing adolescents’ risk and protective factors related to risky behaviours: Findings from a school-based peer-education evaluation in the Western Cape

PubMed Central

Timol, Furzana; Vawda, Mohammed Yacoob; Bhana, Arvin; Moolman, Benita; Makoae, Mokhantso; Swartz, Sharlene

2016-01-01

Abstract Background: Peer-education programmes aim to bring about attitudinal and behavioural changes in their target audience. In the South African educational context, peer education is a favoured approach in dealing with issues such as HIV and AIDS, sexual decision-making and substance misuse. Given the reliance on peer-education programmes in the educational system, it is important to establish how well they are working. This study aims to assess the effect of an extensive, structured, time-limited, curriculum-based, peer-led educational programme on first-year high school learners in public schools in the Western Cape Province of South Africa. Method: The curriculum called ‘Listen Up’ addresses issues such as supporting peers, sexual decision-making, healthy relationships, HIV risk, alcohol misuse and unwanted pregnancy in seven structured sessions. The programme targeted adolescents in Grade 8 growing up in what are considered to be risky environments in public schools in the Western Cape during 2012 and 2013. The intervention was evaluated based on 10 scales sourced from published literature related to the outcome indicators of future orientation, sensation-seeking, self-efficacy in sexual relations, HIV transmission knowledge, HIV prevention knowledge, HIV attitudes, sexual attitudes, decision-making, healthy relationships and social support. Descriptive statistics were used to analyse demographic and community characteristics and analyses of variance were used to detect differences between groups. The surveys were administered to a total of 7709 learners across three waves of the study in 27 peer intervention schools and eight control schools. Results: Immediately post intervention, statistically significant differences were noted for the intervention schools when compared to their baseline levels on measures of future orientation, self-efficacy in sexual relations, knowledge regarding HIV transmission, knowledge regarding HIV prevention and knowledge in terms of healthy relationships. Comparing baseline values with results collected between five and seven months post intervention, statistically significant results were noted for self-efficacy in sexual relations and knowledge regarding HIV transmission. Conclusion: The findings of this study suggest that peer-education can improve adolescents’ self-efficacy in sexual relations as well as knowledge regarding the transmission of HIV and therefore can contribute to the prevention of HIV transmission among adolescents. PMID:27892820

Addressing adolescents' risk and protective factors related to risky behaviours: Findings from a school-based peer-education evaluation in the Western Cape.

PubMed

Timol, Furzana; Vawda, Mohammed Yacoob; Bhana, Arvin; Moolman, Benita; Makoae, Mokhantso; Swartz, Sharlene

2016-12-01

Peer-education programmes aim to bring about attitudinal and behavioural changes in their target audience. In the South African educational context, peer education is a favoured approach in dealing with issues such as HIV and AIDS, sexual decision-making and substance misuse. Given the reliance on peer-education programmes in the educational system, it is important to establish how well they are working. This study aims to assess the effect of an extensive, structured, time-limited, curriculum-based, peer-led educational programme on first-year high school learners in public schools in the Western Cape Province of South Africa. The curriculum called 'Listen Up' addresses issues such as supporting peers, sexual decision-making, healthy relationships, HIV risk, alcohol misuse and unwanted pregnancy in seven structured sessions. The programme targeted adolescents in Grade 8 growing up in what are considered to be risky environments in public schools in the Western Cape during 2012 and 2013. The intervention was evaluated based on 10 scales sourced from published literature related to the outcome indicators of future orientation, sensation-seeking, self-efficacy in sexual relations, HIV transmission knowledge, HIV prevention knowledge, HIV attitudes, sexual attitudes, decision-making, healthy relationships and social support. Descriptive statistics were used to analyse demographic and community characteristics and analyses of variance were used to detect differences between groups. The surveys were administered to a total of 7709 learners across three waves of the study in 27 peer intervention schools and eight control schools. Immediately post intervention, statistically significant differences were noted for the intervention schools when compared to their baseline levels on measures of future orientation, self-efficacy in sexual relations, knowledge regarding HIV transmission, knowledge regarding HIV prevention and knowledge in terms of healthy relationships. Comparing baseline values with results collected between five and seven months post intervention, statistically significant results were noted for self-efficacy in sexual relations and knowledge regarding HIV transmission. The findings of this study suggest that peer-education can improve adolescents' self-efficacy in sexual relations as well as knowledge regarding the transmission of HIV and therefore can contribute to the prevention of HIV transmission among adolescents.

Data Integration and Mining for Synthetic Biology Design.

PubMed

Mısırlı, Göksel; Hallinan, Jennifer; Pocock, Matthew; Lord, Phillip; McLaughlin, James Alastair; Sauro, Herbert; Wipat, Anil

2016-10-21

One aim of synthetic biologists is to create novel and predictable biological systems from simpler modular parts. This approach is currently hampered by a lack of well-defined and characterized parts and devices. However, there is a wealth of existing biological information, which can be used to identify and characterize biological parts, and their design constraints in the literature and numerous biological databases. However, this information is spread among these databases in many different formats. New computational approaches are required to make this information available in an integrated format that is more amenable to data mining. A tried and tested approach to this problem is to map disparate data sources into a single data set, with common syntax and semantics, to produce a data warehouse or knowledge base. Ontologies have been used extensively in the life sciences, providing this common syntax and semantics as a model for a given biological domain, in a fashion that is amenable to computational analysis and reasoning. Here, we present an ontology for applications in synthetic biology design, SyBiOnt, which facilitates the modeling of information about biological parts and their relationships. SyBiOnt was used to create the SyBiOntKB knowledge base, incorporating and building upon existing life sciences ontologies and standards. The reasoning capabilities of ontologies were then applied to automate the mining of biological parts from this knowledge base. We propose that this approach will be useful to speed up synthetic biology design and ultimately help facilitate the automation of the biological engineering life cycle.