A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

PubMed

Vinarti, Retno; Hederman, Lucy

2018-01-01

We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Diseases). Automated prediction requires encoding this knowledge in a form that can produce risk probabilities (e.g. Bayesian Network - BN). The knowledge-base presented in this paper feeds an algorithm that can auto-generate the BN. The knowledge from 234 infectious diseases was compiled. From this compilation, we designed an ontology and five rule types for modelling IDR knowledge in general. The evaluation aims to assess whether the knowledge-base structure, and its application to three disease-country contexts, meets the needs of personalized IDR prediction system. From the evaluation results, the knowledge-base conforms to the system's purpose: personalization of infectious disease risk.

Construction of dynamic stochastic simulation models using knowledge-based techniques

NASA Technical Reports Server (NTRS)

Williams, M. Douglas; Shiva, Sajjan G.

1990-01-01

Over the past three decades, computer-based simulation models have proven themselves to be cost-effective alternatives to the more structured deterministic methods of systems analysis. During this time, many techniques, tools and languages for constructing computer-based simulation models have been developed. More recently, advances in knowledge-based system technology have led many researchers to note the similarities between knowledge-based programming and simulation technologies and to investigate the potential application of knowledge-based programming techniques to simulation modeling. The integration of conventional simulation techniques with knowledge-based programming techniques is discussed to provide a development environment for constructing knowledge-based simulation models. A comparison of the techniques used in the construction of dynamic stochastic simulation models and those used in the construction of knowledge-based systems provides the requirements for the environment. This leads to the design and implementation of a knowledge-based simulation development environment. These techniques were used in the construction of several knowledge-based simulation models including the Advanced Launch System Model (ALSYM).

The Professional Identity of Three Innovative Teachers Engaging in Sustained Knowledge Building Using Technology

ERIC Educational Resources Information Center

Vokatis, Barbara; Zhang, Jianwei

2016-01-01

Diffusing inquiry-based pedagogy in schools for deep and lasting change requires teacher transformation and capacity building. This study characterizes the professional identity of three elementary school teachers who have productively engaged in inquiry-based classroom practice using knowledge building pedagogy and Knowledge Forum, a…

Evidence based library and information practice in Australia: defining skills and knowledge.

PubMed

Lewis, Suzanne

2011-06-01

This guest feature from Suzanne Lewis, a long-time advocate of evidence based library and information practice (EBLIP) in Australia, discusses a current trend within the movement that focuses on the skills, knowledge and competencies of health librarians. In particular, the feature describes three specific Australia-based research projects, on expert searching, indigenous health and future skills requirements for the health library workforce respectively, that exemplify this trend. These projects illustrate how the evidence base can be strengthened around the skills and knowledge required to deliver services that continue to meet the changing needs of health library and information users. © 2011 The authors. Health Information and Libraries Journal © 2011 Health Libraries Group.

Incorporating Resilience into Dynamic Social Models

DTIC Science & Technology

2016-07-20

solved by simply using the information provided by the scenario. Instead, additional knowledge is required from relevant fields that study these...resilience function by leveraging Bayesian Knowledge Bases (BKBs), a probabilistic reasoning network framework[5],[6]. BKBs allow for inferencing...reasoning network framework based on Bayesian Knowledge Bases (BKBs). BKBs are central to our social resilience framework as they are used to

Evidence-based medicine teaching requirements in the USA: taxonomy and themes.

PubMed

Shaughnessy, Allen F; Torro, John R; Frame, Kara A; Bakshi, Munish

2016-05-01

In the USA, recent changes to oversight of residency training codify the requirements for teaching evidence-based medicine and information mastery (lifelong learning) knowledge, skills, and attitudes. The goal of this project is to determine current requirements for teaching of evidence-based medicine (EBM) and information mastery (IM) in specialty residency education in the USA. The project was a qualitative thematic analysis using content analysis. The source of the requirements for EBM and IM were the "milestone" statements for all 28 major specialties and transition year programs. Milestone descriptors related to EBM/IM were extracted and codes were developed and applied to each descriptor by four researchers. The resulting codes were coalesced into themes and tested against the milestone descriptors. The coding process identified 15 content areas comprising five themes. Two themes related to the knowledge and skills of EBM and three themes related to the knowledge, skills, and attitudes of IM. EBM themes encompassed basic critical appraisal skills and knowledge of clinical epidemiology principles and statistics. IM themes centered on identifying one's information needs for patient-specific information, using information sources, and using current awareness services to remain abreast of changes in medicine. In general, they align well with the Sicily Statement on Evidence-Based Practice. No specialty required competence in all areas. New training requirements for specialties in the USA require the development of both classic EBM skills as well as skills for managing information. However, there is marked variation in the requirements among specific specialties. © 2016 Chinese Cochrane Center, West China Hospital of Sichuan University and John Wiley & Sons Australia, Ltd.

Knowledge-based system V and V in the Space Station Freedom program

NASA Technical Reports Server (NTRS)

Kelley, Keith; Hamilton, David; Culbert, Chris

1992-01-01

Knowledge Based Systems (KBS's) are expected to be heavily used in the Space Station Freedom Program (SSFP). Although SSFP Verification and Validation (V&V) requirements are based on the latest state-of-the-practice in software engineering technology, they may be insufficient for Knowledge Based Systems (KBS's); it is widely stated that there are differences in both approach and execution between KBS V&V and conventional software V&V. In order to better understand this issue, we have surveyed and/or interviewed developers from sixty expert system projects in order to understand the differences and difficulties in KBS V&V. We have used this survey results to analyze the SSFP V&V requirements for conventional software in order to determine which specific requirements are inappropriate for KBS V&V and why they are inappropriate. Further work will result in a set of recommendations that can be used either as guidelines for applying conventional software V&V requirements to KBS's or as modifications to extend the existing SSFP conventional software V&V requirements to include KBS requirements. The results of this work are significant to many projects, in addition to SSFP, which will involve KBS's.

Adding Learning to Knowledge-Based Systems: Taking the "Artificial" Out of AI

Treesearch

Daniel L. Schmoldt

1997-01-01

Both, knowledge-based systems (KBS) development and maintenance require time-consuming analysis of domain knowledge. Where example cases exist, KBS can be built, and later updated, by incorporating learning capabilities into their architecture. This applies to both supervised and unsupervised learning scenarios. In this paper, the important issues for learning systems-...

Knowledge base and sensor bus messaging service architecture for critical tsunami warning and decision-support

NASA Astrophysics Data System (ADS)

Sabeur, Z. A.; Wächter, J.; Middleton, S. E.; Zlatev, Z.; Häner, R.; Hammitzsch, M.; Loewe, P.

2012-04-01

The intelligent management of large volumes of environmental monitoring data for early tsunami warning requires the deployment of robust and scalable service oriented infrastructure that is supported by an agile knowledge-base for critical decision-support In the TRIDEC project (TRIDEC 2010-2013), a sensor observation service bus of the TRIDEC system is being developed for the advancement of complex tsunami event processing and management. Further, a dedicated TRIDEC system knowledge-base is being implemented to enable on-demand access to semantically rich OGC SWE compliant hydrodynamic observations and operationally oriented meta-information to multiple subscribers. TRIDEC decision support requires a scalable and agile real-time processing architecture which enables fast response to evolving subscribers requirements as the tsunami crisis develops. This is also achieved with the support of intelligent processing services which specialise in multi-level fusion methods with relevance feedback and deep learning. The TRIDEC knowledge base development work coupled with that of the generic sensor bus platform shall be presented to demonstrate advanced decision-support with situation awareness in context of tsunami early warning and crisis management.

Points of Departure: Developing the Knowledge Base of ESL and FSL Teachers for K-12 Programs in Canada

ERIC Educational Resources Information Center

Faez, Farahnaz

2011-01-01

In this paper I examine similarities and differences between the required knowledge base of teachers of English as a second language (ESL) and French as a second language (FSL) for teaching in Kindergarten through Grade 12 programs in Canada. Drawing on knowledge base frameworks in language teacher education (Freeman and Johnson, 1998; Richards,…

Effect of web-based education on nursing students' urinary catheterization knowledge and skills.

PubMed

Öztürk, Deniz; Dinç, Leyla

2014-05-01

Nursing is a practice-based discipline that requires the integration of theory and practice. Nurse educators must continuously revise educational curricula and incorporate information technology into the curriculum to provide students with the necessary knowledge and skills. The aim of this study was to assess the effect of web-based education on students' urinary catheterization knowledge and skills. A convenience sample of 111 first year nursing students enrolled at two universities in Ankara during the academic year of 2011-2012 participated in this quasi-experimental study. The experimental group (n=59) received a web-based and web-enhanced learning approach along with learning and practicing the required material twice as much as the control group, whereas the control group (n=52) received traditional classroom instruction. A knowledge test of 20 multiple-choice questions and a skills checklist were used to assess student performance. There was no difference between the experimental group and the control group in knowledge scores; however, students in the web-based group had higher scores for urinary catheterization skills. The highest scores in knowledge and skills were obtained by students who experienced web-based education as a supplement to tradition instruction. Web-based education had positive effects on the urinary catheterization skills of nursing students, and its positive effect increased for both knowledge and skills when it supplements classroom instruction. Based on these results, we suggest the use of web-based education as a supplement to traditional classroom instruction for nursing education. © 2013.

The Feasibility and Effectiveness of a Pilot Resident-Organized and -Led Knowledge Base Review

ERIC Educational Resources Information Center

Vautrot, Victor J.; Festin, Fe E.; Bauer, Mark S.

2010-01-01

Objective: The Accreditation Council for Graduate Medical Education (ACGME) requires a sufficient medical knowledge base as one of the six core competencies in residency training. The authors judged that an annual "short-course" review of medical knowledge would be a useful adjunct to standard seminar and rotation teaching, and that a…

Approaching Etuaptmumk--introducing a consensus-based mixed method for health services research.

PubMed

Chatwood, Susan; Paulette, Francois; Baker, Ross; Eriksen, Astrid; Hansen, Ketil Lenert; Eriksen, Heidi; Hiratsuka, Vanessa; Lavoie, Josée; Lou, Wendy; Mauro, Ian; Orbinski, James; Pabrum, Nathalie; Retallack, Hanna; Brown, Adalsteinn

2015-01-01

With the recognized need for health systems' improvements in the circumpolar and indigenous context, there has been a call to expand the research agenda across all sectors influencing wellness and to recognize academic and indigenous knowledge through the research process. Despite being recognized as a distinct body of knowledge in international forums and across indigenous groups, examples of methods and theories based on indigenous knowledge are not well documented in academic texts or peer-reviewed literature on health systems. This paper describes the use of a consensus-based, mixed method with indigenous knowledge by an experienced group of researchers and indigenous knowledge holders who collaborated on a study that explored indigenous values underlying health systems stewardship. The method is built on the principles of Etuaptmumk or two-eyed seeing, which aim to respond to and resolve the inherent conflicts between indigenous ways of knowing and the scientific inquiry that informs the evidence base in health care. Mixed methods' frameworks appear to provide a framing suitable for research questions that require data from indigenous knowledge sources and western knowledge. The nominal consensus method, as a western paradigm, was found to be responsive to embedding of indigenous knowledge and allowed space to express multiple perspectives and reach consensus on the question at hand. Further utilization and critical evaluation of this mixed methodology with indigenous knowledge are required.

Approaching Etuaptmumk – introducing a consensus-based mixed method for health services research

PubMed Central

Chatwood, Susan; Paulette, Francois; Baker, Ross; Eriksen, Astrid; Hansen, Ketil Lenert; Eriksen, Heidi; Hiratsuka, Vanessa; Lavoie, Josée; Lou, Wendy; Mauro, Ian; Orbinski, James; Pabrum, Nathalie; Retallack, Hanna; Brown, Adalsteinn

2015-01-01

With the recognized need for health systems’ improvements in the circumpolar and indigenous context, there has been a call to expand the research agenda across all sectors influencing wellness and to recognize academic and indigenous knowledge through the research process. Despite being recognized as a distinct body of knowledge in international forums and across indigenous groups, examples of methods and theories based on indigenous knowledge are not well documented in academic texts or peer-reviewed literature on health systems. This paper describes the use of a consensus-based, mixed method with indigenous knowledge by an experienced group of researchers and indigenous knowledge holders who collaborated on a study that explored indigenous values underlying health systems stewardship. The method is built on the principles of Etuaptmumk or two-eyed seeing, which aim to respond to and resolve the inherent conflicts between indigenous ways of knowing and the scientific inquiry that informs the evidence base in health care. Mixed methods’ frameworks appear to provide a framing suitable for research questions that require data from indigenous knowledge sources and western knowledge. The nominal consensus method, as a western paradigm, was found to be responsive to embedding of indigenous knowledge and allowed space to express multiple perspectives and reach consensus on the question at hand. Further utilization and critical evaluation of this mixed methodology with indigenous knowledge are required. PMID:26004427

From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making.

PubMed

Cvitanovic, C; McDonald, J; Hobday, A J

2016-12-01

Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management systems. Finally, we articulate the individual, institutional and financial capacities that must be developed to underpin successful knowledge exchange strategies. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Teaching to Teach History: A Study of a University-Based System of Teacher Preparation

ERIC Educational Resources Information Center

McBrady, Jared T.

2017-01-01

Both history and education courses comprise a significant portion of certification requirements for prospective history teachers. Teaching ambitiously requires mastery of many practices and bodies of knowledge, including disciplinary, pedagogical, and pedagogical content knowledge, learned in that history and education coursework. However,…

Using diagnostic experiences in experience-based innovative design

NASA Astrophysics Data System (ADS)

Prabhakar, Sattiraju; Goel, Ashok K.

1992-03-01

Designing a novel class of devices requires innovation. Often, the design knowledge of these devices does not identify and address the constraints that are required for their performance in the real world operating environment. So any new design adapted from these devices tend to be similarly sketchy. In order to address this problem, we propose a case-based reasoning method called performance driven innovation (PDI). We model the design as a dynamic process, arrive at a design by adaptation from the known designs, generate failures for this design for some new constraints, and then use this failure knowledge to generate the required design knowledge for the new constraints. In this paper, we discuss two aspects of PDI: the representation of PDI cases and the translation of the failure knowledge into design knowledge for a constraint. Each case in PDI has two components: design and failure knowledge. Both of them are represented using a substance-behavior-function model. Failure knowledge has internal device failure behaviors and external environmental behaviors. The environmental behavior, for a constraint, interacting with the design behaviors, results in the failure internal behavior. The failure adaptation strategy generates functions, from the failure knowledge, which can be addressed using the routine design methods. These ideas are illustrated using a coffee-maker example.

Rule-based simulation models

NASA Technical Reports Server (NTRS)

Nieten, Joseph L.; Seraphine, Kathleen M.

1991-01-01

Procedural modeling systems, rule based modeling systems, and a method for converting a procedural model to a rule based model are described. Simulation models are used to represent real time engineering systems. A real time system can be represented by a set of equations or functions connected so that they perform in the same manner as the actual system. Most modeling system languages are based on FORTRAN or some other procedural language. Therefore, they must be enhanced with a reaction capability. Rule based systems are reactive by definition. Once the engineering system has been decomposed into a set of calculations using only basic algebraic unary operations, a knowledge network of calculations and functions can be constructed. The knowledge network required by a rule based system can be generated by a knowledge acquisition tool or a source level compiler. The compiler would take an existing model source file, a syntax template, and a symbol table and generate the knowledge network. Thus, existing procedural models can be translated and executed by a rule based system. Neural models can be provide the high capacity data manipulation required by the most complex real time models.

Sharik 1.0: User Needs and System Requirements for a Web-Based Tool to Support Collaborative Sensemaking

DTIC Science & Technology

2016-05-01

Sharik 1.0: User Needs and System Requirements for a Web -Based Tool to Support Collaborative Sensemaking Shadi Ghajar-Khosravi...share the new intelligence items with their peers. In this report, the authors describe Sharik (SHAring Resources, Information, and Knowledge), a web ...SHAring Resources, Information and Knowledge, soit le partage des ressources, de l’information et des connaissances), un outil Web qui facilite le

Translating three states of knowledge--discovery, invention, and innovation

PubMed Central

2010-01-01

Background Knowledge Translation (KT) has historically focused on the proper use of knowledge in healthcare delivery. A knowledge base has been created through empirical research and resides in scholarly literature. Some knowledge is amenable to direct application by stakeholders who are engaged during or after the research process, as shown by the Knowledge to Action (KTA) model. Other knowledge requires multiple transformations before achieving utility for end users. For example, conceptual knowledge generated through science or engineering may become embodied as a technology-based invention through development methods. The invention may then be integrated within an innovative device or service through production methods. To what extent is KT relevant to these transformations? How might the KTA model accommodate these additional development and production activities while preserving the KT concepts? Discussion Stakeholders adopt and use knowledge that has perceived utility, such as a solution to a problem. Achieving a technology-based solution involves three methods that generate knowledge in three states, analogous to the three classic states of matter. Research activity generates discoveries that are intangible and highly malleable like a gas; development activity transforms discoveries into inventions that are moderately tangible yet still malleable like a liquid; and production activity transforms inventions into innovations that are tangible and immutable like a solid. The paper demonstrates how the KTA model can accommodate all three types of activity and address all three states of knowledge. Linking the three activities in one model also illustrates the importance of engaging the relevant stakeholders prior to initiating any knowledge-related activities. Summary Science and engineering focused on technology-based devices or services change the state of knowledge through three successive activities. Achieving knowledge implementation requires methods that accommodate these three activities and knowledge states. Accomplishing beneficial societal impacts from technology-based knowledge involves the successful progression through all three activities, and the effective communication of each successive knowledge state to the relevant stakeholders. The KTA model appears suitable for structuring and linking these processes. PMID:20205873

Profiles of Inconsistent Knowledge in Children's Pathways of Conceptual Change

ERIC Educational Resources Information Center

Schneider, Michael; Hardy, Ilonca

2013-01-01

Conceptual change requires learners to restructure parts of their conceptual knowledge base. Prior research has identified the fragmentation and the integration of knowledge as 2 important component processes of knowledge restructuring but remains unclear as to their relative importance and the time of their occurrence during development. Previous…

Hubble Space Telescope Design Engineering Knowledgebase (HSTDEK)

NASA Technical Reports Server (NTRS)

Johannes, James D.; Everetts, Clark

1989-01-01

The research covered here pays specific attention to the development of tools to assist knowledge engineers in acquiring knowledge and to assist other technical, engineering, and management personnel in automatically performing knowledge capture as part of their everyday work without adding any extra work to what they already do. Requirements for data products, the knowledge base, and methods for mapping knowledge in the documents onto the knowledge representations are discussed, as are some of the difficulties of capturing in the knowledge base the structure of the design process itself, along with a model of the system designed. The capture of knowledge describing the interactions of different components is also discussed briefly.

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

Mendell, Mark J.

This report briefly summarizes, based on recent review articles and selected more recent research reports, current scientific knowledge on two topics: assessing unhealthy levels of indoor D/M in homes and remediating home dampness-related problems to protect health. Based on a comparison of current scientific knowledge to that required to support effective, evidence-based, health-protective policies on home D/M, gaps in knowledge are highlighted, prior questions and research questions specified, and necessary research activities and approaches recommended.

A Study of the Efficacy of Project-Based Learning Integrated with Computer-Based Simulation--STELLA

ERIC Educational Resources Information Center

Eskrootchi, Rogheyeh; Oskrochi, G. Reza

2010-01-01

Incorporating computer-simulation modelling into project-based learning may be effective but requires careful planning and implementation. Teachers, especially, need pedagogical content knowledge which refers to knowledge about how students learn from materials infused with technology. This study suggests that students learn best by actively…

Evaluation Criteria for Competency-Based Syllabi: A Chilean Case Study Applying Mixed Methods

ERIC Educational Resources Information Center

Jerez, Oscar; Valenzuela, Leslier; Pizarro, Veronica; Hasbun, Beatriz; Valenzuela, Gabriela; Orsini, Cesar

2016-01-01

In recent decades, higher education institutions worldwide have been moving from knowledge-based to competence-based curricula. One of the greatest challenges in this transition is the difficulty in changing the knowledge-oriented practices of teachers. This study evaluates the consistency between syllabus design and the requirements imposed by a…

Automated extraction of knowledge for model-based diagnostics

NASA Technical Reports Server (NTRS)

Gonzalez, Avelino J.; Myler, Harley R.; Towhidnejad, Massood; Mckenzie, Frederic D.; Kladke, Robin R.

1990-01-01

The concept of accessing computer aided design (CAD) design databases and extracting a process model automatically is investigated as a possible source for the generation of knowledge bases for model-based reasoning systems. The resulting system, referred to as automated knowledge generation (AKG), uses an object-oriented programming structure and constraint techniques as well as internal database of component descriptions to generate a frame-based structure that describes the model. The procedure has been designed to be general enough to be easily coupled to CAD systems that feature a database capable of providing label and connectivity data from the drawn system. The AKG system is capable of defining knowledge bases in formats required by various model-based reasoning tools.

77 FR 11345 - Harmonization of Compliance Obligations for Registered Investment Companies Required To Register...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-24

... his or her knowledge and belief, the information contained in the document is accurate and complete. The first item in the certification required by SEC Form N-CSR is: ``Based on my knowledge, this..., competitiveness and financial integrity of futures markets; (3) price discovery; (4) sound risk management...

Evaluation of a Knowledge Translation and Exchange Platform to Advance Non-Communicable Disease Prevention

ERIC Educational Resources Information Center

Pettman, Tahna Lee; Armstrong, Rebecca; Waters, Elizabeth; Allender, Steven; Love, Penelope; Gill, Tim; Coveney, John; Boylan, Sinead; Booth, Sue; Bolton, Kristy; Swinburn, Boyd

2016-01-01

Coordinated systems are required to ensure evidence-informed practice and evaluation of community-based interventions (CBIs). Knowledge translation and exchange (KTE) strategies show promise, but these require evaluation. This paper describes implementation and evaluation of COOPS, a national KTE platform to support best practice in obesity…

Context for Communication: Teaching Expertise through Case-Based In-Basket Exercises.

ERIC Educational Resources Information Center

Stearns, James M.; Ronald, Kate; Greenlee, Timothy B.; Crespy, Charles T.

2003-01-01

Case-based in-basket exercises require students to master content as well as communicate knowledge to professional audiences. The combination of specialized content knowledge and analysis of communication contexts helps develop expertise. (Contains 23 references and an in-basket example.) (SK)

When craft and science collide: Improving therapeutic practices through evidence-based innovations.

PubMed

Justice, Laura M

2010-04-01

Evidence-based practice (EBP) is a model of clinical decision-making that is increasingly being advocated for use in the field of speech-language pathology. With the increased emphasis on scientific evidence as a form of knowledge important to EBP, clinicians may wonder whether their craft-based knowledge (i.e., knowledge derived from theory and practice), remains a legitimate form of knowledge for use in clinician decisions. This article describes forms of knowledge that may be used to address clinical questions, to include both craft and science. Additionally, the steps used when engaging in EBP are described so that clinicians understand when and how craft comes into play. The major premise addressed within this article is that craft is a legitimate form of knowledge and that engagement in EBP requires one to employ craft-based knowledge.

An Evidence-Based Course in Complementary Medicines

PubMed Central

Hughes, Jeff

2012-01-01

Objective. To evaluate the impact of an evidence-based course in complementary medicines on the attitudes, knowledge, and professional practice behavior of undergraduate pharmacy students. Design. A required 12-week evidence-based complementary medicine course was designed and introduced into the third-year undergraduate pharmacy curriculum. The course included a combination of traditional lectures, interactive tutorial sessions, and a range of formal assessments. Assessment. Pre- and post-course survey instruments were administered to assess changes in students’ attitudes, perceptions, knowledge, and the likelihood they would recommend the use of complementary medicines in a pharmacy practice environment. Conclusion. Completion of a required evidence-based complementary medicines course resulted in a positive change in pharmacy students’ perceptions of the value of various complementary medicines as well as in their willingness to recommend them, and provided students with the required knowledge to make patient-centered recommendations for use of complementary medicines in a professional pharmacy practice setting. These findings support the need for greater evidence-based complementary medicine education within pharmacy curricula to meet consumer demand and to align with pharmacists’ professional responsibilities. PMID:23275665

Use of a web-based education program improves nurses' knowledge of breastfeeding.

PubMed

Deloian, Barbara J; Lewin, Linda Orkin; O'Connor, Mary E

2015-01-01

To evaluate the baseline knowledge and knowledge gained of nurses, nursing students, midwives, and nurse practitioners who completed Breastfeeding Basics, an online educational program. This study reports on an anonymous evaluation of an online breastfeeding education program developed and maintained to promote evidence-based breastfeeding practice. Included in the study were 3736 nurses, 728 nurse practitioners/midwives, and 3106 nursing students from the United States who completed ≥ one pretest or posttest on the Breastfeeding Basics website between April 1999 and December 31, 2011. Baseline scores were analyzed to determine if nurses' baseline knowledge varied by selected demographic variables such as age, gender, professional level, personal or partner breastfeeding experience, and whether they were required to complete the website for a job or school requirement and to determine knowledge gaps. Pretest and posttest scores on all modules and in specific questions with low pretest scores were compared as a measure of knowledge gained. Lower median pretest scores were found in student nurses (71%), males (71%), those required to take the course (75%), and those without personal breastfeeding experience (72%). The modules with the lowest median pretest scores were Anatomy/Physiology (67%), Growth and Development of the Breastfed Infant (67%), the Breastfeeding Couple (73%), and the Term Infant with Problems (60%). Posttest scores in all modules increased significantly (p < .001). Breastfeeding Basics was used by a large number of nurses and nursing students. Gaps exist in nurses' breastfeeding knowledge. Knowledge improved in all areas based on comparison of pretest and posttest scores. © 2015 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.

Research and development for Onboard Navigation (ONAV) ground based expert/trainer system: ONAV entry knowledge requirements specification update

NASA Technical Reports Server (NTRS)

Bochsler, Daniel C.

1988-01-01

A revised version of expert knowledge for the onboard navigation (ONAV) entry system is given. Included is some brief background information together with information describing the knowledge that the system does contain.

Knowledge acquisition for case-based reasoning systems

NASA Technical Reports Server (NTRS)

Riesbeck, Christopher K.

1988-01-01

Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar problems. The CBR approach offers several potential advantages over rule-based reasoning: rules are not combined blindly in a search for solutions, solutions can be explained in terms of concrete examples, and performance can improve automatically as new problems are solved and added to the case library. Moving CBR for the university research environment to the real world requires smooth interfaces for getting knowledge from experts. Described are the basic elements of an interface for acquiring three basic bodies of knowledge that any case-based reasoner requires: the case library of problems and their solutions, the analysis rules that flesh out input problem specifications so that relevant cases can be retrieved, and the adaptation rules that adjust old solutions to fit new problems.

An expert system shell for inferring vegetation characteristics: Interface for the addition of techniques (Task H)

NASA Technical Reports Server (NTRS)

Harrison, P. Ann

1993-01-01

All the NASA VEGetation Workbench (VEG) goals except the Learning System provide the scientist with several different techniques. When VEG is run, rules assist the scientist in selecting the best of the available techniques to apply to the sample of cover type data being studied. The techniques are stored in the VEG knowledge base. The design and implementation of an interface that allows the scientist to add new techniques to VEG without assistance from the developer were completed. A new interface that enables the scientist to add techniques to VEG without assistance from the developer was designed and implemented. This interface does not require the scientist to have a thorough knowledge of Knowledge Engineering Environment (KEE) by Intellicorp or a detailed knowledge of the structure of VEG. The interface prompts the scientist to enter the required information about the new technique. It prompts the scientist to enter the required Common Lisp functions for executing the technique and the left hand side of the rule that causes the technique to be selected. A template for each function and rule and detailed instructions about the arguments of the functions, the values they should return, and the format of the rule are displayed. Checks are made to ensure that the required data were entered, the functions compiled correctly, and the rule parsed correctly before the new technique is stored. The additional techniques are stored separately from the VEG knowledge base. When the VEG knowledge base is loaded, the additional techniques are not normally loaded. The interface allows the scientist the option of adding all the previously defined new techniques before running VEG. When the techniques are added, the required units to store the additional techniques are created automatically in the correct places in the VEG knowledge base. The methods file containing the functions required by the additional techniques is loaded. New rule units are created to store the new rules. The interface that allow the scientist to select which techniques to use is updated automatically to include the new techniques. Task H was completed. The interface that allows the scientist to add techniques to VEG was implemented and comprehensively tested. The Common Lisp code for the Add Techniques system is listed in Appendix A.

Fertility preservation: a pilot study to assess previsit patient knowledge quantitatively.

PubMed

Balthazar, Ursula; Fritz, Marc A; Mersereau, Jennifer E

2011-05-01

To provide a quantitative assessment of patient knowledge about fertility and fertility preservation treatment options before the initial fertility preservation consultation at a university-based fertility preservation center. Prospective pilot survey containing 13 items assessing patient knowledge about fertility preservation, including the available treatment options and their requirements, success rates, and associated risks. University-based IVF center. Women aged 18 to 41 years with illnesses requiring treatments posing a serious threat to future fertility who were referred for fertility preservation consultation between April 2009 and June 2010. None. Knowledge score. Forty-one eligible patients were identified, and all completed surveys before their consultation. A knowledge score was generated for each patient with 1 point awarded for each correct answer. Overall, patients had poor previsit fertility preservation knowledge (mean score 5.9±2.7). Higher knowledge scores were correlated with personal experience with infertility and previous exposure to fertility preservation treatment information. There was no correlation between knowledge score and age, relationship status, pregnancy history, education, or income. Patients seen for fertility preservation consultation at our university-based center generally tend to be in their early 30s, white, well educated, and married. Previsit knowledge about fertility preservation treatment options was poor and did not correlate with age, education, and relationship status. Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Research and development for Onboard Navigation (ONAV) ground based expert/trainer system: Preliminary ascent knowledge requirements

NASA Technical Reports Server (NTRS)

Bochsler, Daniel C.

1988-01-01

The preliminary version of expert knowledge for the Onboard Navigation (ONAV) Ground Based Expert Trainer Ascent system for the space shuttle is presented. Included is some brief background information along with the information describing the knowledge the system will contain. Information is given on rules and heuristics, telemetry status, landing sites, inertial measurement units, and a high speed trajectory determinator (HSTD) state vector.

Competence-Based Knowledge Structures for Personalised Learning

ERIC Educational Resources Information Center

Heller, Jurgen; Steiner, Christina; Hockemeyer, Cord; Albert, Dietrich

2006-01-01

Competence-based extensions of Knowledge Space Theory are suggested as a formal framework for implementing key features of personalised learning in technology-enhanced learning. The approach links learning objects and assessment problems to the relevant skills that are taught or required. Various ways to derive these skills from domain ontologies…

Artificial intelligence techniques for scheduling Space Shuttle missions

NASA Technical Reports Server (NTRS)

Henke, Andrea L.; Stottler, Richard H.

1994-01-01

Planning and scheduling of NASA Space Shuttle missions is a complex, labor-intensive process requiring the expertise of experienced mission planners. We have developed a planning and scheduling system using combinations of artificial intelligence knowledge representations and planning techniques to capture mission planning knowledge and automate the multi-mission planning process. Our integrated object oriented and rule-based approach reduces planning time by orders of magnitude and provides planners with the flexibility to easily modify planning knowledge and constraints without requiring programming expertise.

Issues in Quantitative Analysis of Ultraviolet Imager (UV) Data: Airglow

NASA Technical Reports Server (NTRS)

Germany, G. A.; Richards, P. G.; Spann, J. F.; Brittnacher, M. J.; Parks, G. K.

1999-01-01

The GGS Ultraviolet Imager (UVI) has proven to be especially valuable in correlative substorm, auroral morphology, and extended statistical studies of the auroral regions. Such studies are based on knowledge of the location, spatial, and temporal behavior of auroral emissions. More quantitative studies, based on absolute radiometric intensities from UVI images, require a more intimate knowledge of the instrument behavior and data processing requirements and are inherently more difficult than studies based on relative knowledge of the oval location. In this study, UVI airglow observations are analyzed and compared with model predictions to illustrate issues that arise in quantitative analysis of UVI images. These issues include instrument calibration, long term changes in sensitivity, and imager flat field response as well as proper background correction. Airglow emissions are chosen for this study because of their relatively straightforward modeling requirements and because of their implications for thermospheric compositional studies. The analysis issues discussed here, however, are identical to those faced in quantitative auroral studies.

Knowledge management: An abstraction of knowledge base and database management systems

NASA Technical Reports Server (NTRS)

Riedesel, Joel D.

1990-01-01

Artificial intelligence application requirements demand powerful representation capabilities as well as efficiency for real-time domains. Many tools exist, the most prevalent being expert systems tools such as ART, KEE, OPS5, and CLIPS. Other tools just emerging from the research environment are truth maintenance systems for representing non-monotonic knowledge, constraint systems, object oriented programming, and qualitative reasoning. Unfortunately, as many knowledge engineers have experienced, simply applying a tool to an application requires a large amount of effort to bend the application to fit. Much work goes into supporting work to make the tool integrate effectively. A Knowledge Management Design System (KNOMAD), is described which is a collection of tools built in layers. The layered architecture provides two major benefits; the ability to flexibly apply only those tools that are necessary for an application, and the ability to keep overhead, and thus inefficiency, to a minimum. KNOMAD is designed to manage many knowledge bases in a distributed environment providing maximum flexibility and expressivity to the knowledge engineer while also providing support for efficiency.

Transformation based endorsement systems

NASA Technical Reports Server (NTRS)

Sudkamp, Thomas

1988-01-01

Evidential reasoning techniques classically represent support for a hypothesis by a numeric value or an evidential interval. The combination of support is performed by an arithmetic rule which often requires restrictions to be placed on the set of possibilities. These assumptions usually require the hypotheses to be exhausitive and mutually exclusive. Endorsement based classification systems represent support for the alternatives symbolically rather than numerically. A framework for constructing endorsement systems is presented in which transformations are defined to generate and update the knowledge base. The interaction of the knowledge base and transformations produces a non-monotonic reasoning system. Two endorsement based reasoning systems are presented to demonstrate the flexibility of the transformational approach for reasoning with ambiguous and inconsistent information.

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

TARGET's role in knowledge acquisition, engineering, validation, and documentation

NASA Technical Reports Server (NTRS)

Levi, Keith R.

1994-01-01

We investigate the use of the TARGET task analysis tool for use in the development of rule-based expert systems. We found TARGET to be very helpful in the knowledge acquisition process. It enabled us to perform knowledge acquisition with one knowledge engineer rather than two. In addition, it improved communication between the domain expert and knowledge engineer. We also found it to be useful for both the rule development and refinement phases of the knowledge engineering process. Using the network in these phases required us to develop guidelines that enabled us to easily translate the network into production rules. A significant requirement for TARGET remaining useful throughout the knowledge engineering process was the need to carefully maintain consistency between the network and the rule representations. Maintaining consistency not only benefited the knowledge engineering process, but also has significant payoffs in the areas of validation of the expert system and documentation of the knowledge in the system.

Knowledge and Skill Requirements for Marketing Jobs in the 21st Century

ERIC Educational Resources Information Center

Schlee, Regina Pefanis; Harich, Katrin R.

2010-01-01

This study examines the skills and conceptual knowledge that employers require for marketing positions at different levels ranging from entry- or lower-level jobs to middle- and senior-level positions. The data for this research are based on a content analysis of 500 marketing jobs posted on Monster.com for Atlanta, Chicago, Los Angeles, New York…

Requirements analysis, domain knowledge, and design

NASA Technical Reports Server (NTRS)

Potts, Colin

1988-01-01

Two improvements to current requirements analysis practices are suggested: domain modeling, and the systematic application of analysis heuristics. Domain modeling is the representation of relevant application knowledge prior to requirements specification. Artificial intelligence techniques may eventually be applicable for domain modeling. In the short term, however, restricted domain modeling techniques, such as that in JSD, will still be of practical benefit. Analysis heuristics are standard patterns of reasoning about the requirements. They usually generate questions of clarification or issues relating to completeness. Analysis heuristics can be represented and therefore systematically applied in an issue-based framework. This is illustrated by an issue-based analysis of JSD's domain modeling and functional specification heuristics. They are discussed in the context of the preliminary design of simple embedded systems.

Development of a component centered fault monitoring and diagnosis knowledge based system for space power system

NASA Technical Reports Server (NTRS)

Lee, S. C.; Lollar, Louis F.

1988-01-01

The overall approach currently being taken in the development of AMPERES (Autonomously Managed Power System Extendable Real-time Expert System), a knowledge-based expert system for fault monitoring and diagnosis of space power systems, is discussed. The system architecture, knowledge representation, and fault monitoring and diagnosis strategy are examined. A 'component-centered' approach developed in this project is described. Critical issues requiring further study are identified.

Knowledge representation by connection matrices: A method for the on-board implementation of large expert systems

NASA Technical Reports Server (NTRS)

Kellner, A.

1987-01-01

Extremely large knowledge sources and efficient knowledge access characterizing future real-life artificial intelligence applications represent crucial requirements for on-board artificial intelligence systems due to obvious computer time and storage constraints on spacecraft. A type of knowledge representation and corresponding reasoning mechanism is proposed which is particularly suited for the efficient processing of such large knowledge bases in expert systems.

From Data to Knowledge: GEOSS experience and the GEOSS Knowledge Base contribution to the GCI

NASA Astrophysics Data System (ADS)

Santoro, M.; Nativi, S.; Mazzetti, P., Sr.; Plag, H. P.

2016-12-01

According to systems theory, data is raw, it simply exists and has no significance beyond its existence; while, information is data that has been given meaning by way of relational connection. The appropriate collection of information, such that it contributes to understanding, is a process of knowledge creation.The Global Earth Observation System of Systems (GEOSS) developed by the Group on Earth Observations (GEO) is a set of coordinated, independent Earth observation, information and processing systems that interact and provide access to diverse information for a broad range of users in both public and private sectors. GEOSS links these systems to strengthen the monitoring of the state of the Earth. In the past ten years, the development of GEOSS has taught several lessons dealing with the need to move from (open) data to information and knowledge sharing. Advanced user-focused services require to move from a data-driven framework to a knowledge sharing platform. Such a platform needs to manage information and knowledge, in addition to datasets linked to them. For this scope, GEO has launched a specific task called "GEOSS Knowledge Base", which deals with resources, like user requirements, Sustainable Development Goals (SDGs), observation and processing ontologies, publications, guidelines, best practices, business processes/algorithms, definition of advanced concepts like Essential Variables (EVs), indicators, strategic goals, etc. In turn, information and knowledge (e.g. guidelines, best practices, user requirements, business processes, algorithms, etc.) can be used to generate additional information and knowledge from shared datasets. To fully utilize and leverage the GEOSS Knowledge Base, the current GEOSS Common Infrastructure (GCI) model will be extended and advanced to consider important concepts and implementation artifacts, such as data processing services and environmental/economic models as well as EVs, Primary Indicators, and SDGs. The new GCI model will link these concepts to the present dataset, observation and sensor concepts, enabling a set of very important new capabilities to be offered to GEOSS users.

Small Knowledge-Based Systems in Education and Training: Something New Under the Sun.

ERIC Educational Resources Information Center

Wilson, Brent G.; Welsh, Jack R.

1986-01-01

Discusses artificial intelligence, robotics, natural language processing, and expert or knowledge-based systems research; examines two large expert systems, MYCIN and XCON; and reviews the resources required to build large expert systems and affordable smaller systems (intelligent job aids) for training. Expert system vendors and products are…

Athletic Trainers' Current Knowledge and Envisioned Use of Foundational Evidence-Based Practice Concepts

ERIC Educational Resources Information Center

Manspeaker, Sarah A.; Hankemeier, Dorice A.

2017-01-01

Context: The Board of Certification (BOC) requires 10 continuing education units (CEUs) in evidence-based practice (EBP) each reporting period. It is unknown whether participation in programming in the Foundations category for CEUs results in improved knowledge of and confidence in EBP. Objective: To examine a continuing professional education…

Constructing a Language Assessment Knowledge Base: A Focus on Language Assessment Courses

ERIC Educational Resources Information Center

Inbar-Lourie, Ofra

2008-01-01

The competencies required for conducting assessment in the educational context have recently been reformulated in view of social constructivist perspectives and the acknowledgement of the role of classroom assessment in promoting learning. These changes have impacted the knowledge base language assessors need to obtain, and hence the contents of…

CACTUS: Command and Control Training Using Knowledge-Based Simulations

ERIC Educational Resources Information Center

Hartley, Roger; Ravenscroft, Andrew; Williams, R. J.

2008-01-01

The CACTUS project was concerned with command and control training of large incidents where public order may be at risk, such as large demonstrations and marches. The training requirements and objectives of the project are first summarized justifying the use of knowledge-based computer methods to support and extend conventional training…

Universities and Innovation in a Factor-Driven Economy: The Performance of Universities in Egypt

ERIC Educational Resources Information Center

El Hadidi, Hala; Kirby, David A.

2016-01-01

In the contemporary knowledge-based global economy, universities are required to operate more entrepreneurially, commercializing the results of their research and spinning out new knowledge-based enterprises. In this article, the third in a series by the authors, case studies are presented of activities in three Egyptian universities to…

Semantic technologies in a decision support system

NASA Astrophysics Data System (ADS)

Wasielewska, K.; Ganzha, M.; Paprzycki, M.; Bǎdicǎ, C.; Ivanovic, M.; Lirkov, I.

2015-10-01

The aim of our work is to design a decision support system based on ontological representation of domain(s) and semantic technologies. Specifically, we consider the case when Grid / Cloud user describes his/her requirements regarding a "resource" as a class expression from an ontology, while the instances of (the same) ontology represent available resources. The goal is to help the user to find the best option with respect to his/her requirements, while remembering that user's knowledge may be "limited." In this context, we discuss multiple approaches based on semantic data processing, which involve different "forms" of user interaction with the system. Specifically, we consider: (a) ontological matchmaking based on SPARQL queries and class expression, (b) graph-based semantic closeness of instances representing user requirements (constructed from the class expression) and available resources, and (c) multicriterial analysis based on the AHP method, which utilizes expert domain knowledge (also ontologically represented).

Developing a geoscience knowledge framework for a national geological survey organisation

NASA Astrophysics Data System (ADS)

Howard, Andrew S.; Hatton, Bill; Reitsma, Femke; Lawrie, Ken I. G.

2009-04-01

Geological survey organisations (GSOs) are established by most nations to provide a geoscience knowledge base for effective decision-making on mitigating the impacts of natural hazards and global change, and on sustainable management of natural resources. The value of the knowledge base as a national asset is continually enhanced by the exchange of knowledge between GSOs as data and information providers and the stakeholder community as knowledge 'users and exploiters'. Geological maps and associated narrative texts typically form the core of national geoscience knowledge bases, but have some inherent limitations as methods of capturing and articulating knowledge. Much knowledge about the three-dimensional (3D) spatial interpretation and its derivation and uncertainty, and the wider contextual value of the knowledge, remains intangible in the minds of the mapping geologist in implicit and tacit form. To realise the value of these knowledge assets, the British Geological Survey (BGS) has established a workflow-based cyber-infrastructure to enhance its knowledge management and exchange capability. Future geoscience surveys in the BGS will contribute to a national, 3D digital knowledge base on UK geology, with the associated implicit and tacit information captured as metadata, qualitative assessments of uncertainty, and documented workflows and best practice. Knowledge-based decision-making at all levels of society requires both the accessibility and reliability of knowledge to be enhanced in the grid-based world. Establishment of collaborative cyber-infrastructures and ontologies for geoscience knowledge management and exchange will ensure that GSOs, as knowledge-based organisations, can make their contribution to this wider goal.

Standards for hospital libraries 2002

PubMed Central

Gluck, Jeannine Cyr; Hassig, Robin Ackley; Balogh, Leeni; Bandy, Margaret; Doyle, Jacqueline Donaldson; Kronenfeld, Michael R.; Lindner, Katherine Lois; Murray, Kathleen; Petersen, JoAn; Rand, Debra C.

2002-01-01

The Medical Library Association's “Standards for Hospital Libraries 2002” have been developed as a guide for hospital administrators, librarians, and accrediting bodies to ensure that hospitals have the resources and services to effectively meet their needs for knowledge-based information. Specific requirements for knowledge-based information include that the library be a separate department with its own budget. Knowledge-based information in the library should be directed by a qualified librarian who functions as a department head and is a member of the Academy of Health Information Professionals. The standards define the role of the medical librarian and the links between knowledge-based information and other functions such as patient care, patient education, performance improvement, and education. In addition, the standards address the development and implementation of the knowledge-based information needs assessment and plans, the promotion and publicity of the knowledge-based information services, and the physical space and staffing requirements. The role, qualifications, and functions of a hospital library consultant are outlined. The health sciences library is positioned to play a key role in the hospital. The increasing use of the Internet and new information technologies by medical, nursing, and allied health staffs; patients; and the community require new strategies, strategic planning, allocation of adequate resources, and selection and evaluation of appropriate information resources and technologies. The Hospital Library Standards Committee has developed this document as a guideline to be used in facing these challenges. Editor's Note: The “Standards for Hospital Libraries 2002” were approved by the members of the Hospital Library Section during MLA '02 in Dallas, Texas. They were subsequently approved by Section Council and received final approval from the MLA Board of Directors in June 2002. They succeed the Standards for Hospital Libraries published in 1994 and the Minimum Standards for Health Sciences Libraries in Hospitals from 1983. A Frequently Asked Questions document discussing the development of the new standards can be found on the Hospital Library Section Website at http://www.hls.mlanet.org. PMID:12398254

Standardisation of delivery and assessment of research training for specialty trainees based on curriculum requirements: recommendations based on a scoping review.

PubMed

Rangan, Amar; Pitchford, James; Williams, Penny; Wood, Brian; Robson, Stephen

2017-02-06

(1) To conduct a scoping review of postgraduate specialty training (ST) curricula for doctors within Health Education England in order to identify common themes and variations in requirements for training and assessment of research competencies. (2) To make recommendations on standardisation of training for clinical research across ST programmes. Health Education England North East and National Institute for Health Research Clinical Research Network (CRN)-North East and North Cumbria. Annual Review of Competence Progression (ARCP); Certificate of Completion of Training (CCT) checklists and curricula for ST were obtained from Health Education England North East and reviewed between June and September 2015. Research competence requirements based on knowledge, skills or behaviour-based domains were identified and entered onto a spreadsheet for analysis. Common themes with levels of competence required were identified. This information was used to construct and propose a model for delivery of training in clinical research across ST programmes. Sixty-two ST curricula were reviewed and seven common themes for research training were found in up to 97% of the curricula. Requirement for good clinical practice (GCP) in research training was included in 15% of curricula. One of the common themes involved knowledge-based competency, and three each of the remaining seven involved skills or behaviour-based competencies. There was less clarity and larger variation between specialties in how research competencies were assessed; and what evidence was required for ARCP and CCT to assure competence. 63% (19/30) of curricula from medical specialties had no mention of research requirements within their ARCP guidelines. Given that the majority of specialty curricula contain consistent themes around core research knowledge, consideration should be given to standardising the delivery and assessment of generic research competencies within ST. Our recommendations from this review could form the basis for developing structured research training for specialty trainees involving: (1) a taught course for knowledge-based competencies; (2) clinical placements with CRN teams for practical workplace-based experience and (3) developing research tutors to help support placements and assessment of these competencies. 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/.

Uncertainty Quantification Techniques for Population Density Estimates Derived from Sparse Open Source Data

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

Stewart, Robert N; White, Devin A; Urban, Marie L

2013-01-01

The Population Density Tables (PDT) project at the Oak Ridge National Laboratory (www.ornl.gov) is developing population density estimates for specific human activities under normal patterns of life based largely on information available in open source. Currently, activity based density estimates are based on simple summary data statistics such as range and mean. Researchers are interested in improving activity estimation and uncertainty quantification by adopting a Bayesian framework that considers both data and sociocultural knowledge. Under a Bayesian approach knowledge about population density may be encoded through the process of expert elicitation. Due to the scale of the PDT effort whichmore » considers over 250 countries, spans 40 human activity categories, and includes numerous contributors, an elicitation tool is required that can be operationalized within an enterprise data collection and reporting system. Such a method would ideally require that the contributor have minimal statistical knowledge, require minimal input by a statistician or facilitator, consider human difficulties in expressing qualitative knowledge in a quantitative setting, and provide methods by which the contributor can appraise whether their understanding and associated uncertainty was well captured. This paper introduces an algorithm that transforms answers to simple, non-statistical questions into a bivariate Gaussian distribution as the prior for the Beta distribution. Based on geometric properties of the Beta distribution parameter feasibility space and the bivariate Gaussian distribution, an automated method for encoding is developed that responds to these challenging enterprise requirements. Though created within the context of population density, this approach may be applicable to a wide array of problem domains requiring informative priors for the Beta distribution.« less

Knowledge based system verification and validation as related to automation of space station subsystems: Rationale for a knowledge based system lifecycle

NASA Technical Reports Server (NTRS)

Richardson, Keith; Wong, Carla

1988-01-01

The role of verification and validation (V and V) in software has been to support and strengthen the software lifecycle and to ensure that the resultant code meets the standards of the requirements documents. Knowledge Based System (KBS) V and V should serve the same role, but the KBS lifecycle is ill-defined. The rationale of a simple form of the KBS lifecycle is presented, including accommodation to certain critical KBS differences from software development.

A Research Agenda on Assessing and Remediating Home Dampness and Mold to Reduce Dampness-Related Health Effects

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

Mendell, Mark J.

2015-06-01

This report briefly summarizes, based on recent review articles and selected more recent research reports, current scientific knowledge on two topics: assessing unhealthy levels of indoor D/M in homes and remediating home dampness-related problems to protect health. Based on a comparison of current scientific knowledge to that required to support effective, evidence-based, health-protective policies on home D/M, gaps in knowledge are highlighted, prior questions and research questions specified, and necessary research activities and approaches recommended.

Recommendations for UAS Crew Ratings. Pilot Ratings and Authorization Requirements for UAS

NASA Technical Reports Server (NTRS)

2005-01-01

This position paper is intended to recommend the minimum certificate and rating requirements for a pilot to operate an Unmanned Aircraft System (UAS) in the National Airspace System. The paper will recommend the minimum requirements based on the Knowledge, Skills, and Abilities (KSA) required of a UAS pilot and show how those compare to the KSAs required by regulation for manned-aircraft pilots. The paper will provide substantiation based on studies conducted using analyses, simulation and flight experience. The paper is not yet complete; only initial working material is included. The material provided describes the body of work completed thus far and the plan for remaining tasks to complete the recommendation. The HSI Pilot KSA document provides an analysis of the knowledge, skills, and abilities required for UAS operation in the NAS. It is the source document used for the position paper.

Learning to Be a Math Teacher: What Knowledge Is Essential?

ERIC Educational Resources Information Center

Reid, Mary; Reid, Steven

2017-01-01

This study critically examined the math content knowledge (MCK) of teacher candidates (TCs) enrolled in a two-year Master of Teaching (MT) degree. Teachers require a solid math knowledge base in order to support students' achievement. Provincial and international math assessments have been of major concern in Ontario, Canada, due to declining…

A Knowledge Conversion Model Based on the Cognitive Load Theory for Architectural Design Education

ERIC Educational Resources Information Center

Wu, Yun-Wu; Liao, Shin; Wen, Ming-Hui; Weng, Kuo-Hua

2017-01-01

The education of architectural design requires balanced curricular arrangements of respectively theoretical knowledge and practical skills to really help students build their knowledge structures, particularly helping them in solving the problems of cognitive load. The purpose of this study is to establish an architectural design knowledge…

Machine Methods for Acquiring, Learning, and Applying Knowledge.

ERIC Educational Resources Information Center

Hayes-Roth, Frederick; And Others

A research plan for identifying and acting upon constraints that impede the development of knowledge-based intelligent systems is described. The two primary problems identified are knowledge programming, the task of which is to create an intelligent system that does what an expert says it should, and learning, the problem requiring the criticizing…

Fault management and systems knowledge

DOT National Transportation Integrated Search

2016-12-01

Pilots are asked to manage faults during flight operations. This leads to the training question of the type and depth of system knowledge required to respond to these faults. Based on discussions with multiple airline operators, there is agreement th...

Enhancing Users' Participation in Business Process Modeling through Ontology-Based Training

NASA Astrophysics Data System (ADS)

Macris, A.; Malamateniou, F.; Vassilacopoulos, G.

Successful business process design requires active participation of users who are familiar with organizational activities and business process modelling concepts. Hence, there is a need to provide users with reusable, flexible, agile and adaptable training material in order to enable them instil their knowledge and expertise in business process design and automation activities. Knowledge reusability is of paramount importance in designing training material on process modelling since it enables users participate actively in process design/redesign activities stimulated by the changing business environment. This paper presents a prototype approach for the design and use of training material that provides significant advantages to both the designer (knowledge - content reusability and semantic web enabling) and the user (semantic search, knowledge navigation and knowledge dissemination). The approach is based on externalizing domain knowledge in the form of ontology-based knowledge networks (i.e. training scenarios serving specific training needs) so that it is made reusable.

Towards a standardised representation of a knowledge base for adverse drug event prevention.

PubMed

Koutkias, Vassilis; Lazou, Katerina; de Clercq, Paul; Maglaveras, Nicos

2011-01-01

Knowledge representation is an important part of knowledge engineering activities that is crucial for enabling knowledge sharing and reuse. In this regard, standardised formalisms and technologies play a significant role. Especially for the medical domain, where knowledge may be tacit, not articulated and highly diverse, the development and adoption of standardised knowledge representations is highly challenging and of outmost importance to achieve knowledge interoperability. To this end, this paper presents a research effort towards the standardised representation of a Knowledge Base (KB) encapsulating rule-based signals and procedures for Adverse Drug Event (ADE) prevention. The KB constitutes an integral part of Clinical Decision Support Systems (CDSSs) to be used at the point of care. The paper highlights the requirements at the domain of discourse with respect to knowledge representation, according to which GELLO (an HL7 and ANSI standard) has been adopted. Results of our prototype implementation are presented along with the advantages and the limitations introduced by the employed approach.

Designing Collaborative E-Learning Environments Based upon Semantic Wiki: From Design Models to Application Scenarios

ERIC Educational Resources Information Center

Li, Yanyan; Dong, Mingkai; Huang, Ronghuai

2011-01-01

The knowledge society requires life-long learning and flexible learning environment that enables fast, just-in-time and relevant learning, aiding the development of communities of knowledge, linking learners and practitioners with experts. Based upon semantic wiki, a combination of wiki and Semantic Web technology, this paper designs and develops…

PDA: A coupling of knowledge and memory for case-based reasoning

NASA Technical Reports Server (NTRS)

Bharwani, S.; Walls, J.; Blevins, E.

1988-01-01

Problem solving in most domains requires reference to past knowledge and experience whether such knowledge is represented as rules, decision trees, networks or any variant of attributed graphs. Regardless of the representational form employed, designers of expert systems rarely make a distinction between the static and dynamic aspects of the system's knowledge base. The current paper clearly distinguishes between knowledge-based and memory-based reasoning where the former in its most pure sense is characterized by a static knowledge based resulting in a relatively brittle expert system while the latter is dynamic and analogous to the functions of human memory which learns from experience. The paper discusses the design of an advisory system which combines a knowledge base consisting of domain vocabulary and default dependencies between concepts with a dynamic conceptual memory which stores experimental knowledge in the form of cases. The case memory organizes past experience in the form of MOPs (memory organization packets) and sub-MOPs. Each MOP consists of a context frame and a set of indices. The context frame contains information about the features (norms) common to all the events and sub-MOPs indexed under it.

ISPE: A knowledge-based system for fluidization studies

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

Reddy, S.

1991-01-01

Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all specified goals'' are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that canmore » enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.« less

A Web-based Multimedia Program Before Colonoscopy Increased Knowledge and Decreased Anxiety, Sedation Requirement, and Procedure Time.

PubMed

Parker, Siddhartha; Zipursky, Jonathan; Ma, Helen; Baumblatt, Geri-Lynn; Siegel, Corey A

2018-07-01

Assess the impact of a web-based multimedia patient engagement program on patient anxiety, perception and knowledge about the colonoscopy in addition to procedure outcomes. The success of patients coming for a colonoscopy for colorectal cancer screening is dependent in part on patients' understanding of the preparation and of the procedure. Patients were randomized to use either our institution's standard preprocedure colonoscopy packet or a web-based multimedia patient engagement program (Emmi Solutions) before their scheduled procedure. On the day of colonoscopy, all participants completed a survey including questions to assess knowledge and perception of colonoscopy, in addition to the State Trait Anxiety Inventory. We also collected procedure data including medication doses and procedure time. Patients in the experimental group correctly answered knowledge questions (82%) more often than the control group (74%) (P=0.0003). More than half (58%) of patients in the experimental group felt this intervention reduced their anxiety about the procedure, and the State Trait Anxiety Inventory anxiety score was lower in the experimental group (P=0.026). Patients who viewed the program required less midazolam (3.66 vs. 4.46 mg, P=0.0035) and total procedure time was shorter (24.8 vs. 29 min, P=0.024). A web-based multimedia patient engagement program watched before colonoscopy decreased patient anxiety, medication requirements, and procedure time while increasing knowledge. This intervention could help patients understand and feel more comfortable about colonoscopy leading to increased screening rates while increasing efficiency and decreasing recovery time.

Eliciting and Representing High-Level Knowledge Requirements to Discover Ecological Knowledge in Flower-Visiting Data

PubMed Central

2016-01-01

Observations of individual organisms (data) can be combined with expert ecological knowledge of species, especially causal knowledge, to model and extract from flower–visiting data useful information about behavioral interactions between insect and plant organisms, such as nectar foraging and pollen transfer. We describe and evaluate a method to elicit and represent such expert causal knowledge of behavioral ecology, and discuss the potential for wider application of this method to the design of knowledge-based systems for knowledge discovery in biodiversity and ecosystem informatics. PMID:27851814

19 CFR 141.86 - Contents of invoices and general requirements.

Code of Federal Regulations, 2010 CFR

2010-04-01

... forth in detail, for each class or kind of merchandise, every discount from list or other base price... the exporter, who has knowledge, or who can readily obtain knowledge, of the transaction. [T.D. 73-175...

Problem-Based Learning: A Learning Environment for Enhancing Learning Transfer

ERIC Educational Resources Information Center

Hung, Woei

2013-01-01

Knowledge application and transfer is one of the ultimate learning goals in education. For adult learners, these abilities are not only beneficial but also critical. The ability to apply knowledge learned from school is only a basic requirement in workplaces. In this ever-changing world, the ability to near and far transfer knowledge is the skill…

Target Inquiry: Changing Chemistry High School Teachers' Classroom Practices and Knowledge and Beliefs about Inquiry Instruction

ERIC Educational Resources Information Center

Herrington, Deborah G.; Yezierski, Ellen J.; Luxford, Karen M.; Luxford, Cynthia J.

2011-01-01

Inquiry-based instruction requires a deep, conceptual understanding of the process of science combined with a sophisticated knowledge of teaching and learning. This study examines the changes in classroom instructional practices and corresponding changes to knowledge and beliefs about inquiry instruction for eight high school chemistry teachers.…

Defaults, context, and knowledge: alternatives for OWL-indexed knowledge bases.

PubMed

Rector, A

2004-01-01

The new Web Ontology Language (OWL) and its Description Logic compatible sublanguage (OWL-DL) explicitly exclude defaults and exceptions, as do all logic based formalisms for ontologies. However, many biomedical applications appear to require default reasoning, at least if they are to be engineered in a maintainable way. Default reasoning has always been one of the great strengths of Frame systems such as Protégé. Resolving this conflict requires analysis of the different uses for defaults and exceptions. In some cases, alternatives can be provided within the OWL framework; in others, it appears that hybrid reasoning about a knowledge base of contingent facts built around the core ontology is necessary. Trade-offs include both human factors and the scaling of computational performance. The analysis presented here is based on the OpenGALEN experience with large scale ontologies using a formalism, GRAIL, which explicitly incorporates constructs for hybrid reasoning, numerous experiments with OWL, and initial work on combining OWL and Protégé.

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

PubMed

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

2013-01-01

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

Knowledge management for the protection of information in electronic medical records.

PubMed

Lea, Nathan; Hailes, Stephen; Austin, Tony; Kalra, Dipak

2008-01-01

This paper describes foundational work investigating the protection requirements of sensitive medical information, which is being stored more routinely in repository systems for electronic medical records. These systems have increasingly powerful sharing capabilities at the point of clinical care, in medical research and for clinical and managerial audit. The potential for sharing raises concerns about the protection of individual patient privacy and challenges the duty of confidentiality by which medical practitioners are ethically and legally bound. By analysing the protection requirements and discussing the need to apply policy-based controls to discrete items of medical information in a record, this paper suggests that this is a problem for which existing privacy management solutions are not sufficient or appropriate to the protection requirements. It proposes that a knowledge management approach is required and it introduces a new framework based on the knowledge management techniques now being used to manage electronic medical record data. The background, existing work in this area, initial investigation methods, results to date and discussion are presented, and the paper is concluded with the authors' comments on the ramifications of the work.

Using the Socratic Method in Secondary Teaching.

ERIC Educational Resources Information Center

Schoeman, Stephen

1997-01-01

Students are more accustomed to receiving knowledge than to questioning knowledge, challenging underlying assumptions, and seeing inconsistencies and irrelevancies. The Socratic method requires teachers to challenge students' critical thinking abilities by developing questions based on analogies and hypothetical situations. Although the Socratic…

Administrative Support Occupations Skill Standards.

ERIC Educational Resources Information Center

Professional Secretaries International, Kansas City, MO.

This document establishes a set of performance expectations based on current practices in administrative support occupations. It is designed to assist individuals, training providers, employers, management personnel, and professional organizations in matching knowledge, abilities, and interests to knowledge and skills required for success in…

A Competency-Based Teacher Education Program in Elementary Education.

ERIC Educational Resources Information Center

State Univ. of New York, Stony Brook.

This document describes the elementary education program to be initiated at the State University of New York at Stony Brook. It is an individualized, modularized, personalized program consistent with the competency-based mode. Requirements for entrance into the program and the expected skills, knowledge, and attitudes required for program…

Creation of a master table for checking indication and contraindication of medicine from a knowledge base linked with a thesaurus.

PubMed

Ji, Shanmei; Matsumura, Yasushi; Kuwata, Shigeki; Nakano, Hirohiko; Chen, Yufeng; Teratani, Tadamasa; Zhang, Qiyan; Mineno, Takahiro; Takeda, Hiroshi

2004-12-01

To develop a system for checking indication and contraindication of medicines in prescription order entry system, a master table consisting of the disease names corresponding to the medicines adopted in a hospital is needed. The creation of this table requires a considerable manpower. We developed a Web-based system for constructing a medicine/disease thesaurus and a knowledge base. By authority management of users, this system enables many specialists to create the thesaurus collaboratively without confusion. It supports the creation of a knowledge base using concept names by referring to the thesaurus, which is automatically converted to the check master table. When a disease name or medicine name was added to the thesaurus, the check table was automatically updated. We constructed a thesaurus and a knowledge base in the field of circulatory system disease. The knowledge base linked with the thesaurus proved to be efficient for making the check master table for indication/contraindication of medicines.

Awareness Development Across Perspectives Tool (ADAPT)

DTIC Science & Technology

2010-10-01

individualist and collectivist cultures are described and linked in the generic knowledge base, and the specific cultural aspects and how they relate to...effort focuses on making a tool based on (1) knowledge developed within diverse scientific disciplines (e.g. cultural anthropology, social psychology...psychological operations, humanitarian missions) is performed in a large variety of locations and cultures (e.g., Africa, Asia), requiring a diversity

The Fundamental Lifestyle of a University Community: A Case Study of Higher Education in a Malaysian Institution

ERIC Educational Resources Information Center

Abdullah, Melissa Ng Lee Yen; Mey, See Ching

2012-01-01

This study identified the fundamental lifestyles adopted by a university community in Malaysia. Rapid growth and expansion of higher education in Malaysia is inevitable as the country moves from a production-based economy to one that is innovative and knowledge-based, requiring the development of a highly skilled and knowledgeable workforce.…

Chapter 1: Biomedical knowledge integration.

PubMed

Payne, Philip R O

2012-01-01

The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and use of knowledge-based systems.

Chapter 1: Biomedical Knowledge Integration

PubMed Central

Payne, Philip R. O.

2012-01-01

The modern biomedical research and healthcare delivery domains have seen an unparalleled increase in the rate of innovation and novel technologies over the past several decades. Catalyzed by paradigm-shifting public and private programs focusing upon the formation and delivery of genomic and personalized medicine, the need for high-throughput and integrative approaches to the collection, management, and analysis of heterogeneous data sets has become imperative. This need is particularly pressing in the translational bioinformatics domain, where many fundamental research questions require the integration of large scale, multi-dimensional clinical phenotype and bio-molecular data sets. Modern biomedical informatics theory and practice has demonstrated the distinct benefits associated with the use of knowledge-based systems in such contexts. A knowledge-based system can be defined as an intelligent agent that employs a computationally tractable knowledge base or repository in order to reason upon data in a targeted domain and reproduce expert performance relative to such reasoning operations. The ultimate goal of the design and use of such agents is to increase the reproducibility, scalability, and accessibility of complex reasoning tasks. Examples of the application of knowledge-based systems in biomedicine span a broad spectrum, from the execution of clinical decision support, to epidemiologic surveillance of public data sets for the purposes of detecting emerging infectious diseases, to the discovery of novel hypotheses in large-scale research data sets. In this chapter, we will review the basic theoretical frameworks that define core knowledge types and reasoning operations with particular emphasis on the applicability of such conceptual models within the biomedical domain, and then go on to introduce a number of prototypical data integration requirements and patterns relevant to the conduct of translational bioinformatics that can be addressed via the design and use of knowledge-based systems. PMID:23300416

Licensure tests for special education teachers: how well they assess knowledge of reading instruction and mathematics.

PubMed

Stotsky, Sandra

2009-01-01

To determine the extent to which knowledge of evidence-based reading instruction and mathematics is assessed on licensure tests for prospective special education teachers, this study drew on information provided by Educational Testing Service (ETS), the American Board for Certification of Teacher Excellence, and National Evaluation Systems (now Evaluation Systems group of Pearson). It estimated the percentage of test items on phonemic awareness, phonics, and vocabulary knowledge and on mathematics content. It also analyzed descriptions of ETS's tests of "principles of teaching and learning." Findings imply that prospective special education teachers should be required to take both a dedicated test of evidence-based reading instructional knowledge, as in California, Massachusetts, and Virginia, and a test of mathematical knowledge, as in Massachusetts. States must design their own tests of teaching principles to assess knowledge of evidence-based educational theories.

A Test Methodology for Evaluating Cognitive Radio Systems

DTIC Science & Technology

2014-03-27

assumes that there are base stations which facilitate spectrum coordination by acting as spectrum brokers. Individual sensing nodes may feed local...spectrum information to the base stations [17]. The base station spectrum broker has a geolocation database of known licensed transmitters, but supplements...Sensing nodes are required to feed spectrum knowledge back to the central base station , though this act 8 does not require cognition. Instead, all

Proposed qualification requirements for selected railroad jobs

DOT National Transportation Integrated Search

1975-01-01

This report proposes minimum safety-related knowledge, performance and training requirements for the jobs of railroad engineer, conductor, brakeman and train dispatchers. Analyses performed were primarily based upon job and task analytic documentatio...

Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

PubMed

Katić, Darko; Schuck, Jürgen; Wekerle, Anna-Laura; Kenngott, Hannes; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie

2016-06-01

Computer assistance is increasingly common in surgery. However, the amount of information is bound to overload processing abilities of surgeons. We propose methods to recognize the current phase of a surgery for context-aware information filtering. The purpose is to select the most suitable subset of information for surgical situations which require special assistance. We combine formal knowledge, represented by an ontology, and experience-based knowledge, represented by training samples, to recognize phases. For this purpose, we have developed two different methods. Firstly, we use formal knowledge about possible phase transitions to create a composition of random forests. Secondly, we propose a method based on cultural optimization to infer formal rules from experience to recognize phases. The proposed methods are compared with a purely formal knowledge-based approach using rules and a purely experience-based one using regular random forests. The comparative evaluation on laparoscopic pancreas resections and adrenalectomies employs a consistent set of quality criteria on clean and noisy input. The rule-based approaches proved best with noisefree data. The random forest-based ones were more robust in the presence of noise. Formal and experience-based knowledge can be successfully combined for robust phase recognition.

IT Knowledge Requirements Identification in Organizational Networks: Cooperation Between Industrial Organizations and Universities

NASA Astrophysics Data System (ADS)

Rudzajs, Peteris; Kirikova, Marite

ICT professionals face rapid technology development, changes in design paradigms, methodologies, approaches, and cooperation patterns. These changes impact relationships between universities that teach ICT disciplines and industrial organizations that develop and use ICT-based products. The required knowledge and skills of university graduates depend mainly on the current industrial situation; therefore the university graduates have to meet industry requirements which are stated at the time point of their graduation, not at the start of their studies. Continuous cooperation between universities and industrial organizations is needed to identify a time and situation-dependent set of knowledge requirements, which lead to situation aware, industry acknowledged, balanced and productive ICT study programs. This chapter proposes information systems solutions supporting cooperation between the university and the industrial organizations with respect to curriculum development in ICT area.

Study of Design Knowledge Capture (DKC) schemes implemented in magnetic bearing applications

NASA Technical Reports Server (NTRS)

1990-01-01

A design knowledge capture (DKC) scheme was implemented using frame-based techniques. The objective of such a system is to capture not only the knowledge which describes a design, but also that which explains how the design decisions were reached. These knowledge types were labelled definitive and explanatory, respectively. Examination of the design process helped determine what knowledge to retain and at what stage that knowledge is used. A discussion of frames resulted in the recognition of their value to knowledge representation and organization. The FORMS frame system was used as a basis for further development, and for examples using magnetic bearing design. The specific contributions made by this research include: determination that frame-based systems provide a useful methodology for management and application of design knowledge; definition of specific user interface requirements, (this consists of a window-based browser); specification of syntax for DKC commands; and demonstration of the feasibility of DKC by applications to existing designs. It was determined that design knowledge capture could become an extremely valuable engineering tool for complicated, long-life systems, but that further work was needed, particularly the development of a graphic, window-based interface.

University-Industry Technology Transfer in Hong Kong

ERIC Educational Resources Information Center

Poon, Patrick S.; Chan, Kan S.

2007-01-01

In the modern knowledge economy, higher educational institutions are being required to deal with commercialising the results of their research, spinning out knowledge-based enterprises and facilitating technology transfer between their research centres and industrial firms. The universities are undergoing changes in institutional and…

Representation and matching of knowledge to design digital systems

NASA Technical Reports Server (NTRS)

Jones, J. U.; Shiva, S. G.

1988-01-01

A knowledge-based expert system is described that provides an approach to solve a problem requiring an expert with considerable domain expertise and facts about available digital hardware building blocks. To design digital hardware systems from their high level VHDL (Very High Speed Integrated Circuit Hardware Description Language) representation to their finished form, a special data representation is required. This data representation as well as the functioning of the overall system is described.

Hybrid Learning Environments: Merging Learning and Work Processes to Facilitate Knowledge Integration and Transitions. OECD Education Working Papers, No. 81

ERIC Educational Resources Information Center

Zitter, Ilya; Hoeve, Aimee

2012-01-01

This paper deals with the problematic nature of the transition between education and the workplace. A smooth transition between education and the workplace requires learners to develop an integrated knowledge base, but this is problematic as most educational programmes offer knowledge and experiences in a fragmented manner, scattered over a…

Need of Knowledge in Nursing and Demand for Knowledge in Nursing Education.

ERIC Educational Resources Information Center

Johansson, Britt

An English summary of a study on nursing education which was written in Swedish is presented. Standards of medical and surgical knowledge required of student nurses were evaluated based on all written test items in medical and surgical nursing set during one year at Swedish schools of nursing. The views of teaching staff and student nurses on…

Inter-Enterprise Integration - Moving Beyond Data Level Integration

DTIC Science & Technology

2010-06-01

Center, Mississippi Abstract- Navy METOC is fundamentally a knowledge -based enterprise. The products are themselves knowledge products and the ...Effective transformation to a NCOW-aligned enterprise requires a clear way to express, understand, implement, monitor, manage , and assess the value of net...information that is available and the processes, tools, and agents that turn this collection of information into battlespace knowledge . Individuals will

A knowledge based search tool for performance measures in health care systems.

PubMed

Beyan, Oya D; Baykal, Nazife

2012-02-01

Performance measurement is vital for improving the health care systems. However, we are still far from having accepted performance measurement models. Researchers and developers are seeking comparable performance indicators. We developed an intelligent search tool to identify appropriate measures for specific requirements by matching diverse care settings. We reviewed the literature and analyzed 229 performance measurement studies published after 2000. These studies are evaluated with an original theoretical framework and stored in the database. A semantic network is designed for representing domain knowledge and supporting reasoning. We have applied knowledge based decision support techniques to cope with uncertainty problems. As a result we designed a tool which simplifies the performance indicator search process and provides most relevant indicators by employing knowledge based systems.

An expert system for the design of heating, ventilating, and air-conditioning systems

NASA Astrophysics Data System (ADS)

Camejo, Pedro Jose

1989-12-01

Expert systems are computer programs that seek to mimic human reason. An expert system shelf, a software program commonly used for developing expert systems in a relatively short time, was used to develop a prototypical expert system for the design of heating, ventilating, and air-conditioning (HVAC) systems in buildings. Because HVAC design involves several related knowledge domains, developing an expert system for HVAC design requires the integration of several smaller expert systems known as knowledge bases. A menu program and several auxiliary programs for gathering data, completing calculations, printing project reports, and passing data between the knowledge bases are needed and have been developed to join the separate knowledge bases into one simple-to-use program unit.

Planning bioinformatics workflows using an expert system.

PubMed

Chen, Xiaoling; Chang, Jeffrey T

2017-04-15

Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. https://github.com/jefftc/changlab. jeffrey.t.chang@uth.tmc.edu. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Planning bioinformatics workflows using an expert system

PubMed Central

Chen, Xiaoling; Chang, Jeffrey T.

2017-01-01

Abstract Motivation: Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. Results: To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. Availability and Implementation: https://github.com/jefftc/changlab Contact: jeffrey.t.chang@uth.tmc.edu PMID:28052928

Development of Knowledge Profiles for International eHealth eLearning Courses.

PubMed

Herzog, Juliane; Sauermann, Stefan; Mense, Alexander; Forjan, Mathias; Urbauer, Philipp

2015-01-01

Professionals working in the multidisciplinary field of eHealth vary in their educational background. However, knowledge in the areas of medicine, engineering and management is required to fulfil the tasks associated with eHealth sufficiently. Based on the results of an analysis of national and international educational offers a survey gathering user requirements for the development of knowledge profiles in eHealth was conducted (n=75) by professionals and students. During a workshop the first results were presented and discussed together with the network partners and the attendees. The resulting knowledge profiles contain knowledge areas of all three thematic content categories including fundamentals of medical terminology, standards and interoperability and usability as well as basics of all three content categories. The knowledge profiles are currently applied in a master's degree programme at the UAS Technikum Wien and will be developed further.

Curriculum Providing Cognitive Knowledge and Problem-Solving Skills for Anesthesia Systems-Based Practice

PubMed Central

Wachtel, Ruth E.; Dexter, Franklin

2010-01-01

Background Residency programs accredited by the ACGME are required to teach core competencies, including systems-based practice (SBP). Projects are important for satisfying this competency, but the level of knowledge and problem-solving skills required presupposes a basic understanding of the field. The responsibilities of anesthesiologists include the coordination of patient flow in the surgical suite. Familiarity with this topic is crucial for many improvement projects. Intervention A course in operations research for surgical services was originally developed for hospital administration students. It satisfies 2 of the Institute of Medicine's core competencies for health professionals: evidence-based practice and work in interdisciplinary teams. The course lasts 3.5 days (eg, 2 weekends) and consists of 45 cognitive objectives taught using 7 published articles, 10 lectures, and 156 computer-assisted problem-solving exercises based on 17 case studies. We tested the hypothesis that the cognitive objectives of the curriculum provide the knowledge and problem-solving skills necessary to perform projects that satisfy the SBP competency. Standardized terminology was used to define each component of the SBP competency for the minimum level of knowledge needed. The 8 components of the competency were examined independently. Findings Most cognitive objectives contributed to at least 4 of the 8 core components of the SBP competency. Each component of SBP is addressed at the minimum requirement level of exemplify by at least 6 objectives. There is at least 1 cognitive objective at the level of summarize for each SBP component. Conclusions A curriculum in operating room management can provide the knowledge and problem-solving skills anesthesiologists need for participation in projects that satisfy the SBP competency. PMID:22132289

ISPE: A knowledge-based system for fluidization studies. 1990 Annual report

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

Reddy, S.

1991-01-01

Chemical engineers use mathematical simulators to design, model, optimize and refine various engineering plants/processes. This procedure requires the following steps: (1) preparation of an input data file according to the format required by the target simulator; (2) excecuting the simulation; and (3) analyzing the results of the simulation to determine if all ``specified goals`` are satisfied. If the goals are not met, the input data file must be modified and the simulation repeated. This multistep process is continued until satisfactory results are obtained. This research was undertaken to develop a knowledge based system, IPSE (Intelligent Process Simulation Environment), that canmore » enhance the productivity of chemical engineers/modelers by serving as an intelligent assistant to perform a variety tasks related to process simulation. ASPEN, a widely used simulator by the US Department of Energy (DOE) at Morgantown Energy Technology Center (METC) was selected as the target process simulator in the project. IPSE, written in the C language, was developed using a number of knowledge-based programming paradigms: object-oriented knowledge representation that uses inheritance and methods, rulebased inferencing (includes processing and propagation of probabilistic information) and data-driven programming using demons. It was implemented using the knowledge based environment LASER. The relationship of IPSE with the user, ASPEN, LASER and the C language is shown in Figure 1.« less

MedSynDiKATe--design considerations for an ontology-based medical text understanding system.

PubMed Central

Hahn, U.; Romacker, M.; Schulz, S.

2000-01-01

MedSynDiKATe is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The general system architecture we present integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. The strong demands MedSynDiKATe poses to the availability of expressive knowledge sources are accounted for by two alternative approaches to (semi)automatic ontology engineering. PMID:11079899

Reading and reading instruction for children from low-income and non-English-speaking households.

PubMed

Lesaux, Nonie K

2012-01-01

Although most young children seem to master reading skills in the early grades of elementary school, many struggle with texts as they move through middle school and high school. Why do children who seem to be proficient readers in third grade have trouble comprehending texts in later grades? To answer this question, Nonie Lesaux describes what is known about reading development and instruction, homing in on research conducted with children from low-income and non-English-speaking homes. Using key insights from this research base, she offers two explanations. The first is that reading is a dynamic and multifaceted process that requires continued development if students are to keep pace with the increasing demands of school texts and tasks. The second lies in the role of reading assessment and instruction in U.S. schools. Lesaux draws a distinction between the "skills-based competencies" that readers need to sound out and recognize words and the "knowledge-based competencies" that include the conceptual and vocabulary knowledge necessary to comprehend a text's meaning. Although U.S. schools have made considerable progress in teaching skills-based reading competencies that are the focus of the early grades, most have made much less progress in teaching the knowledge-based competencies students need to support reading comprehension in middle and high school. These knowledge-based competencies are key sources of lasting individual differences in reading outcomes, particularly among children growing up in low-income and non-English-speaking households. Augmenting literacy rates, Lesaux explains, will require considerable shifts in the way reading is assessed and taught in elementary and secondary schools. First, schools must conduct comprehensive reading assessments that discern learners' (potential) sources of reading difficulties--in both skills-based and knowledge-based competencies. Second, educators must implement instructional approaches that offer promise for teaching the conceptual and knowledge-based reading competencies that are critical for academic success, particularly for academically vulnerable populations.

Design of a Knowledge Driven HIS

PubMed Central

Pryor, T. Allan; Clayton, Paul D.; Haug, Peter J.; Wigertz, Ove

1987-01-01

Design of the software architecture for a knowledge driven HIS is presented. In our design the frame has been used as the basic unit of knowledge representation. The structure of the frame is being designed to be sufficiently universal to contain knowledge required to implement not only expert systems, but almost all traditional HIS functions including ADT, order entry and results review. The design incorporates a two level format for the knowledge. The first level as ASCII records is used to maintain the knowledge base while the second level converted by special knowledge compilers to standard computer languages is used for efficient implementation of the knowledge applications.

[Sustainable Implementation of Evidence-Based Programmes in Health Promotion: A Theoretical Framework and Concept of Interactive Knowledge to Action].

PubMed

Rütten, A; Wolff, A; Streber, A

2016-03-01

This article discusses 2 current issues in the field of public health research: (i) transfer of scientific knowledge into practice and (ii) sustainable implementation of good practice projects. It also supports integration of scientific and practice-based evidence production. Furthermore, it supports utilisation of interactive models that transcend deductive approaches to the process of knowledge transfer. Existing theoretical approaches, pilot studies and thoughtful conceptual considerations are incorporated into a framework showing the interplay of science, politics and prevention practice, which fosters a more sustainable implementation of health promotion programmes. The framework depicts 4 key processes of interaction between science and prevention practice: interactive knowledge to action, capacity building, programme adaptation and adaptation of the implementation context. Ensuring sustainability of health promotion programmes requires a concentrated process of integrating scientific and practice-based evidence production in the context of implementation. Central to the integration process is the approach of interactive knowledge to action, which especially benefits from capacity building processes that facilitate participation and systematic interaction between relevant stakeholders. Intense cooperation also induces a dynamic interaction between multiple actors and components such as health promotion programmes, target groups, relevant organisations and social, cultural and political contexts. The reciprocal adaptation of programmes and key components of the implementation context can foster effectiveness and sustainability of programmes. Sustainable implementation of evidence-based health promotion programmes requires alternatives to recent deductive models of knowledge transfer. Interactive approaches prove to be promising alternatives. Simultaneously, they change the responsibilities of science, policy and public health practice. Existing boundaries within disciplines and sectors are overcome by arranging transdisciplinary teams as well as by developing common agendas and procedures. Such approaches also require adaptations of the structure of research projects such as extending the length of funding. © Georg Thieme Verlag KG Stuttgart · New York.

Knowledge management: an application to wildfire prevention planning

Treesearch

Daniel L Schmoldt

1989-01-01

Residential encroachment into wildland areas places an additional burden on fire management activities. Prevention programs, fuel management efforts, and suppression strategies, previously employed in wildland areas, require modification for protection of increased values at risk in this interface area. Knowledge-based computer systems are being investigated as...

Change Leadership in Universities: The Confucian Dimension

ERIC Educational Resources Information Center

Tjeldvoll, Arild

2011-01-01

The intensified competition of the global, market-based knowledge economy requires change leadership in universities and colleges throughout the world. National policy makers increasingly see knowledge as a core resource of modern economies and a prerequisite for global competitiveness. By implication, the quality of university leadership becomes…

Health data and data governance.

PubMed

Hovenga, Evelyn J S; Grain, Heather

2013-01-01

Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, "Big Data", provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information.

Framework Support For Knowledge-Based Software Development

NASA Astrophysics Data System (ADS)

Huseth, Steve

1988-03-01

The advent of personal engineering workstations has brought substantial information processing power to the individual programmer. Advanced tools and environment capabilities supporting the software lifecycle are just beginning to become generally available. However, many of these tools are addressing only part of the software development problem by focusing on rapid construction of self-contained programs by a small group of talented engineers. Additional capabilities are required to support the development of large programming systems where a high degree of coordination and communication is required among large numbers of software engineers, hardware engineers, and managers. A major player in realizing these capabilities is the framework supporting the software development environment. In this paper we discuss our research toward a Knowledge-Based Software Assistant (KBSA) framework. We propose the development of an advanced framework containing a distributed knowledge base that can support the data representation needs of tools, provide environmental support for the formalization and control of the software development process, and offer a highly interactive and consistent user interface.

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks.

PubMed

Wang, Chenguang; Song, Yangqiu; El-Kishky, Ahmed; Roth, Dan; Zhang, Ming; Han, Jiawei

2015-08-01

One of the key obstacles in making learning protocols realistic in applications is the need to supervise them, a costly process that often requires hiring domain experts. We consider the framework to use the world knowledge as indirect supervision. World knowledge is general-purpose knowledge, which is not designed for any specific domain. Then the key challenges are how to adapt the world knowledge to domains and how to represent it for learning. In this paper, we provide an example of using world knowledge for domain dependent document clustering. We provide three ways to specify the world knowledge to domains by resolving the ambiguity of the entities and their types, and represent the data with world knowledge as a heterogeneous information network. Then we propose a clustering algorithm that can cluster multiple types and incorporate the sub-type information as constraints. In the experiments, we use two existing knowledge bases as our sources of world knowledge. One is Freebase, which is collaboratively collected knowledge about entities and their organizations. The other is YAGO2, a knowledge base automatically extracted from Wikipedia and maps knowledge to the linguistic knowledge base, Word-Net. Experimental results on two text benchmark datasets (20newsgroups and RCV1) show that incorporating world knowledge as indirect supervision can significantly outperform the state-of-the-art clustering algorithms as well as clustering algorithms enhanced with world knowledge features.

Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks

PubMed Central

Wang, Chenguang; Song, Yangqiu; El-Kishky, Ahmed; Roth, Dan; Zhang, Ming; Han, Jiawei

2015-01-01

One of the key obstacles in making learning protocols realistic in applications is the need to supervise them, a costly process that often requires hiring domain experts. We consider the framework to use the world knowledge as indirect supervision. World knowledge is general-purpose knowledge, which is not designed for any specific domain. Then the key challenges are how to adapt the world knowledge to domains and how to represent it for learning. In this paper, we provide an example of using world knowledge for domain dependent document clustering. We provide three ways to specify the world knowledge to domains by resolving the ambiguity of the entities and their types, and represent the data with world knowledge as a heterogeneous information network. Then we propose a clustering algorithm that can cluster multiple types and incorporate the sub-type information as constraints. In the experiments, we use two existing knowledge bases as our sources of world knowledge. One is Freebase, which is collaboratively collected knowledge about entities and their organizations. The other is YAGO2, a knowledge base automatically extracted from Wikipedia and maps knowledge to the linguistic knowledge base, Word-Net. Experimental results on two text benchmark datasets (20newsgroups and RCV1) show that incorporating world knowledge as indirect supervision can significantly outperform the state-of-the-art clustering algorithms as well as clustering algorithms enhanced with world knowledge features. PMID:26705504

N Reasons Why Production-Rules are Insufficient Models for Expert System Knowledge Representation Schemes

DTIC Science & Technology

1991-02-01

3 2.2 Hybrid Rule/Fact Schemas .............................................................. 3 3 THE LIMITATIONS OF RULE BASED KNOWLEDGE...or hybrid rule/fact schemas. 2 UNCLASSIFIED .WA UNCLASSIFIED ERL-0520-RR 2.1 Propositional Logic The simplest form of production-rules are based upon...requirements which may lead to poor system performance. 2.2 Hybrid Rule/Fact Schemas Hybrid rule/fact relationships (also known as Predicate Calculus ) have

Fuzzy and neural control

NASA Technical Reports Server (NTRS)

Berenji, Hamid R.

1992-01-01

Fuzzy logic and neural networks provide new methods for designing control systems. Fuzzy logic controllers do not require a complete analytical model of a dynamic system and can provide knowledge-based heuristic controllers for ill-defined and complex systems. Neural networks can be used for learning control. In this chapter, we discuss hybrid methods using fuzzy logic and neural networks which can start with an approximate control knowledge base and refine it through reinforcement learning.

40 CFR 501.17 - Requirements for enforcement authority.

Code of Federal Regulations, 2010 CFR

2010-07-01

... which provide the criminal remedies based on “criminal negligence,” “gross negligence” or strict.... (2) The burden of proof and degree of knowledge or intent required under State law for establishing..., this requirement is not met if State law includes mental state as an element of proof for civil...

Knowledge as a Service at the Point of Care.

PubMed

Shellum, Jane L; Freimuth, Robert R; Peters, Steve G; Nishimura, Rick A; Chaudhry, Rajeev; Demuth, Steve J; Knopp, Amy L; Miksch, Timothy A; Milliner, Dawn S

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

Knowledge as a Service at the Point of Care

PubMed Central

Shellum, Jane L.; Freimuth, Robert R.; Peters, Steve G.; Nishimura, Rick A.; Chaudhry, Rajeev; Demuth, Steve J.; Knopp, Amy L.; Miksch, Timothy A.; Milliner, Dawn S.

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources. PMID:28269911

Formal Representations of Eligibility Criteria: A Literature Review

PubMed Central

Weng, Chunhua; Tu, Samson W.; Sim, Ida; Richesson, Rachel

2010-01-01

Standards-based, computable knowledge representations for eligibility criteria are increasingly needed to provide computer-based decision support for automated research participant screening, clinical evidence application, and clinical research knowledge management. We surveyed the literature and identified five aspects of eligibility criteria knowledge representations that contribute to the various research and clinical applications: the intended use of computable eligibility criteria, the classification of eligibility criteria, the expression language for representing eligibility rules, the encoding of eligibility concepts, and the modeling of patient data. We consider three of them (expression language, codification of eligibility concepts, and patient data modeling), to be essential constructs of a formal knowledge representation for eligibility criteria. The requirements for each of the three knowledge constructs vary for different use cases, which therefore should inform the development and choice of the constructs toward cost-effective knowledge representation efforts. We discuss the implications of our findings for standardization efforts toward sharable knowledge representation of eligibility criteria. PMID:20034594

Expert system for the design of heating, ventilating, and air-conditioning systems. Master's thesis

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

Camejo, P.J.

1989-12-01

Expert systems are computer programs that seek to mimic human reason. An expert system shelf, a software program commonly used for developing expert systems in a relatively short time, was used to develop a prototypical expert system for the design of heating, ventilating, and air-conditioning (HVAC) systems in buildings. Because HVAC design involves several related knowledge domains, developing an expert system for HVAC design requires the integration of several smaller expert systems known as knowledge bases. A menu program and several auxiliary programs for gathering data, completing calculations, printing project reports, and passing data between the knowledge bases are neededmore » and have been developed to join the separate knowledge bases into one simple-to-use program unit.« less

Evidence-based approach to the maintenance of laboratory and medical equipment in resource-poor settings.

PubMed

Malkin, Robert; Keane, Allison

2010-07-01

Much of the laboratory and medical equipment in resource-poor settings is out-of-service. The most commonly cited reasons are (1) a lack of spare parts and (2) a lack of highly trained technicians. However, there is little data to support these hypotheses, or to generate evidence-based solutions to the problem. We studied 2,849 equipment-repair requests (of which 2,529 were out-of-service medical equipment) from 60 resource-poor hospitals located in 11 nations in Africa, Europe, Asia, and Central America. Each piece of equipment was analyzed by an engineer or an engineering student and a repair was attempted using only locally available materials. If the piece was placed back into service, we assumed that the engineer's problem analysis was correct. A total of 1,821 pieces of medical equipment were placed back into service, or 72%, without requiring the use of imported spare parts. Of those pieces repaired, 1,704 were sufficiently documented to determine what knowledge was required to place the equipment back into service. We found that six domains of knowledge were required to accomplish 99% of the repairs: electrical (18%), mechanical (18%), power supply (14%), plumbing (19%), motors (5%), and installation or user training (25%). A further analysis of the domains shows that 66% of the out-of-service equipment was placed back into service using only 107 skills covering basic knowledge in each domain; far less knowledge than that required of a biomedical engineer or biomedical engineering technician. We conclude that a great majority of laboratory and medical equipment can be put back into service without importing spare parts and using only basic knowledge. Capacity building in resource-poor settings should first focus on a limited set of knowledge; a body of knowledge that we call the biomedical technician's assistant (BTA). This data set suggests that a supported BTA could place 66% of the out-of-service laboratory and medical equipment in their hospital back into service.

The smooth (tractor) operator: insights of knowledge engineering.

PubMed

Cullen, Ralph H; Smarr, Cory-Ann; Serrano-Baquero, Daniel; McBride, Sara E; Beer, Jenay M; Rogers, Wendy A

2012-11-01

The design of and training for complex systems requires in-depth understanding of task demands imposed on users. In this project, we used the knowledge engineering approach (Bowles et al., 2004) to assess the task of mowing in a citrus grove. Knowledge engineering is divided into four phases: (1) Establish goals. We defined specific goals based on the stakeholders involved. The main goal was to identify operator demands to support improvement of the system. (2) Create a working model of the system. We reviewed product literature, analyzed the system, and conducted expert interviews. (3) Extract knowledge. We interviewed tractor operators to understand their knowledge base. (4) Structure knowledge. We analyzed and organized operator knowledge to inform project goals. We categorized the information and developed diagrams to display the knowledge effectively. This project illustrates the benefits of knowledge engineering as a qualitative research method to inform technology design and training. Copyright © 2012 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Streamlining the Discovery, Evaluation, and Integration of Data, Models, and Decision Support Systems: a Big Picture View

EPA Science Inventory

21st century environmental problems are wicked and require holistic systems thinking and solutions that integrate social and economic knowledge with knowledge of the environment. Computer-based technologies are fundamental to our ability to research and understand the relevant sy...

Changing Knowledge, Changing Technology: Implications for Teacher Education Futures

ERIC Educational Resources Information Center

Burden, Kevin; Aubusson, Peter; Brindley, Sue; Schuck, Sandy

2016-01-01

Recent research in teacher education futures has identified two themes that require further study: the changing nature of knowledge and the changing capabilities of technologies. This article examines the intersection of these two themes and their implications for teacher education. The research employed futures methodologies based on scenario…

Computer-Based Assessment in Safety-Critical Industries: The Case of Shipping

ERIC Educational Resources Information Center

Gekara, Victor Oyaro; Bloor, Michael; Sampson, Helen

2011-01-01

Vocational education and training (VET) concerns the cultivation and development of specific skills and competencies, in addition to broad underpinning knowledge relating to paid employment. VET assessment is, therefore, designed to determine the extent to which a trainee has effectively acquired the knowledge, skills, and competencies required by…

Standards for Medical Library Technicians, Medical Library Association.

ERIC Educational Resources Information Center

Medical Library Association, Chicago, IL.

A medical library technician is a semiprofessional library employee whose duties require knowledge and skill based on a minimum of two years' general college education that includes library instruction beyond the clerical level. The medical library technician must have a practical knowledge of library functions and services, an understanding of…

Pre-Service Teacher Training on Game-Enhanced Mathematics Teaching and Learning

ERIC Educational Resources Information Center

Meletiou-Mavrotheris, Maria; Prodromou, Theodosia

2016-01-01

The paper reports the main insights from a study aimed at equipping a group of pre-service teachers with the knowledge, skills, and practical experience required to effectively integrate educational games within the mathematics curriculum. An instructional intervention based on the Technological Pedagogical and Content Knowledge framework was…

Learning to Teach: Pedagogical Content Knowledge in Adventure-Based Learning

ERIC Educational Resources Information Center

Sutherland, Sue; Stuhr, Paul T.; Ayvazo, Shiri

2016-01-01

Background: Many alternative curricular models exist in physical education to better meet the needs of students than the multi-activity team sports curriculum that dominates in the USA. These alternative curricular models typically require different content knowledge (CK) and pedagogical CK (PCK) to implement successfully. One of the complexities…

A Study of Holocaust Survivors: Implications for Curriculum

ERIC Educational Resources Information Center

Greene, Roberta R.

2010-01-01

This article presents an approach to human behavior curriculum that requires students to achieve the purpose outlined in the Council on Social Work Education's 2008 Educational Policy and Accreditation Standards to "distinguish, appraise, and integrate multiple sources of knowledge, including research-based knowledge." It emphasizes and allows for…

Rethinking knowledge and pedagogy in dental education.

PubMed

Whipp, J L; Ferguson, D J; Wells, L M; Iacopino, A M

2000-12-01

Dentistry as a profession has often been considered both art and science. Traditional dental education has attempted to address both; however, in many places only the science of dentistry is emphasized. The move toward competency-based curricula in dental education requires an expansion of what constitutes meaningful knowledge in the curriculum and what pedagogies best support that curriculum. The scientific and technical knowledge considered foundational to clinical practice is not sufficient to teach competencies associated with the art of dentistry. Habermas, a social scientist, offers a way of looking beyond technical knowledge to consider two other forms of knowledge: practical and emancipatory. Pedagogy that supports development of practical and emancipatory knowledge includes problem-based learning and case methods, heuristics, reflective practica, journals, storytelling, and performance-based assessment methods. These important teaching strategies are being integrated into various dental curricula including a new competency-based dental curriculum at Marquette University's School of Dentistry. It will be critical for dental educators to continue developing these methods to provide efficient and effective education for future practitioners in both the art and science of dentistry.

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…

Development of cognitive processing and judgments of knowledge in medical students: Analysis of progress test results.

PubMed

Cecilio-Fernandes, Dario; Kerdijk, Wouter; Jaarsma, A D Debbie C; Tio, René A

2016-11-01

Beside acquiring knowledge, medical students should also develop the ability to apply and reflect on it, requiring higher-order cognitive processing. Ideally, students should have reached higher-order cognitive processing when they enter the clinical program. Whether this is the case, is unknown. We investigated students' cognitive processing, and awareness of their knowledge during medical school. Data were gathered from 347 first-year preclinical and 196 first-year clinical students concerning the 2008 and 2011 Dutch progress tests. Questions were classified based upon Bloom's taxonomy: "simple questions" requiring lower and "vignette questions" requiring higher-order cognitive processing. Subsequently, we compared students' performance and awareness of their knowledge in 2008 to that in 2011 for each question type. Students' performance on each type of question increased as students progressed. Preclinical and first-year clinical students performed better on simple questions than on vignette questions. Third-year clinical students performed better on vignette questions than on simple questions. The accuracy of students' judgment of knowledge decreased over time. The progress test is a useful tool to assess students' cognitive processing and awareness of their knowledge. At the end of medical school, students achieved higher-order cognitive processing but their awareness of their knowledge had decreased.

Socio-contextual Network Mining for User Assistance in Web-based Knowledge Gathering Tasks

NASA Astrophysics Data System (ADS)

Rajendran, Balaji; Kombiah, Iyakutti

Web-based Knowledge Gathering (WKG) is a specialized and complex information seeking task carried out by many users on the web, for their various learning, and decision-making requirements. We construct a contextual semantic structure by observing the actions of the users involved in WKG task, in order to gain an understanding of their task and requirement. We also build a knowledge warehouse in the form of a master Semantic Link Network (SLX) that accommodates and assimilates all the contextual semantic structures. This master SLX, which is a socio-contextual network, is then mined to provide contextual inputs to the current users through their agents. We validated our approach through experiments and analyzed the benefits to the users in terms of resource explorations and the time saved. The results are positive enough to motivate us to implement in a larger scale.

Mapping the Route of Leadership Education: Caution Ahead

DTIC Science & Technology

2004-01-01

apprenticeship, and study of educational purpose. Such context -stripped research-based knowledge cannot substitute for professional knowledge.” — Joe L...concrete, ra- tional processes in high esteem . Reviewing the J9 proposal required us to step back and review educa- tional strategies for developing...tion. Those who learn and employ that knowledge in unique contexts are rightly described as professionals; in them lies the heart and soul of the

Tools of the trade: Improving nurses' ability to access and evaluate research.

PubMed

Sleutel, Martha R; Bullion, John W; Sullivan, Ronnie

2018-03-01

To evaluate the effect of a manager-required RN competency on staff nurses' perceived knowledge, ability and frequency of information-seeking activities. Basing clinical practice on research and standards of care is essential to delivering appropriate care with optimal outcomes. Nurses' information-seeking abilities are critical for acquiring evidence-based answers to aid clinical decision-making, yet nurses under-utilize library resources and report barriers. A unit manager sought to test the effect of an innovative competency for acquiring and appraising evidence for practice. This longitudinal descriptive study evaluated 28 nurses before and after a 1-hr class, as well as 5 months later. The class covered library information services and the basics of critiquing research articles. Nurses had statistically significant improvements in four of five items measuring knowledge/ability and four of five items measuring frequency of information-seeking activities. At 5 months, most knowledge/ability items increased. There was no effect of nurse characteristics on outcomes. A required competency improved nurses' knowledge, ability and frequency of acquiring and appraising evidence with a single 1-hr class and a hands-on practice activity. Unit managers can have great impact on nurses' use of evidence for practice. © 2018 John Wiley & Sons Ltd.

Unveiling health attitudes and creating good-for-you foods: the genomics metaphor, consumer innovative web-based technologies.

PubMed

Moskowitz, H R; German, J B; Saguy, I S

2005-01-01

This article presents an integrated analysis of three emerging knowledge bases in the nutrition and consumer products industries, and how they may effect the food industry. These knowledge bases produce new vistas for corporate product development, especially with respect to those foods that are positioned as 'good for you.' Couched within the current thinking of state-of-the-art knowledge and information, this article highlights how today's thinking about accelerated product development can be introduced into the food and health industries to complement these three research areas. The 3 knowledge bases are: the genomics revolution, which has opened new insights into understanding the interactions of personal needs of individual consumers with nutritionally relevant components of the foods; the investigation of food choice by scientific studies; the development of large scale databases (mega-studies) about the consumer mind. These knowledge bases, combined with new methods to understand the consumer through research, make possible a more focused development. The confluence of trends outlined in this article provides the corporation with the beginnings of a new path to a knowledge-based, principles-grounded product-development system. The approaches hold the potential to create foods based upon people's nutritional requirements combined with their individual preferences. Integrating these emerging knowledge areas with new consumer research techniques may well reshape how the food industry develops new products to satisfy consumer needs and wants.

Comparison of long-term knowledge retention in lecture-based versus flipped team-based learning course delivery.

PubMed

Taglieri, Catherine; Schnee, David; Dvorkin Camiel, Lana; Zaiken, Kathy; Mistry, Amee; Nigro, Stefanie; Tataronis, Gary; Patel, Dhiren; Jacobson, Susan; Goldman, Jennifer

2017-05-01

To determine whether team based learning (TBL) is superior to traditional lecture -based learning in confidence and knowledge retention one year later. A survey was administered 17 months after a completion of a required over-the-counter /self-care (OTC) course to two different cohorts of students. The survey assessed confidence and knowledge related to OTC topics. The lecture group had a traditional lecture based classroom experience; the intervention group experienced a TBL format throughout the entire course. One hundred forty-seven students of 283 enrolled (51.9%) in the lecture group and 222 of 305 (72.8%) students in the TBL group participated in the knowledge assessment and survey. Demographic data including student grade point averages (GPA) and confidence were similar in both groups. Mean assessment scores (±SD) on OTC knowledge was significantly higher in the traditional lecture based group versus the TBL group; 62.9±19.3 vs. 54.9±15.7 (p=0.001). Although TBL is thought to improve student engagement and mastery of material, after an initial implementation of TBL, knowledge retention in the long term appears to be lower than lecture based learning. Copyright © 2017 Elsevier Inc. All rights reserved.

Gaussian Processes for Data-Efficient Learning in Robotics and Control.

PubMed

Deisenroth, Marc Peter; Fox, Dieter; Rasmussen, Carl Edward

2015-02-01

Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) approaches typically require many interactions with the system to learn controllers, which is a practical limitation in real systems, such as robots, where many interactions can be impractical and time consuming. To address this problem, current learning approaches typically require task-specific knowledge in form of expert demonstrations, realistic simulators, pre-shaped policies, or specific knowledge about the underlying dynamics. In this paper, we follow a different approach and speed up learning by extracting more information from data. In particular, we learn a probabilistic, non-parametric Gaussian process transition model of the system. By explicitly incorporating model uncertainty into long-term planning and controller learning our approach reduces the effects of model errors, a key problem in model-based learning. Compared to state-of-the art RL our model-based policy search method achieves an unprecedented speed of learning. We demonstrate its applicability to autonomous learning in real robot and control tasks.

Model-based software design

NASA Technical Reports Server (NTRS)

Iscoe, Neil; Liu, Zheng-Yang; Feng, Guohui; Yenne, Britt; Vansickle, Larry; Ballantyne, Michael

1992-01-01

Domain-specific knowledge is required to create specifications, generate code, and understand existing systems. Our approach to automating software design is based on instantiating an application domain model with industry-specific knowledge and then using that model to achieve the operational goals of specification elicitation and verification, reverse engineering, and code generation. Although many different specification models can be created from any particular domain model, each specification model is consistent and correct with respect to the domain model.

Quality improvement in childhood obesity management through the maintenance of certification process.

PubMed

Huang, Jeannie S; Chun, Stanford; Sandhu, Amanpreet; Terrones, Laura

2013-11-01

To assess the Health and Obesity: Prevention and Education (HOPE) Curriculum Project, a web-based clinician education program that promotes appropriate screening, prevention, and management of weight among youth by pediatric practitioners, based on the 2007 Expert Committee recommendations. The project currently provides Maintenance of Certification (MOC) Part 4 credit through the American Board of Pediatrics. Participants identified themselves to the HOPE MOC Part 4 program. Enrollees were required to complete all continuing medical education modules (10.5 hours). Knowledge acquisition and self-reported confidence levels related to screening, prevention, and management practices of pediatric obesity were measured using preknowledge and postknowledge questionnaires. Participants were also required to perform a quality improvement project and submit practice performance data from repeated medical chart reviews over time. Knowledge acquisition, self-efficacy, and practice performance data were analyzed using repeated-measures analyses. The 51 participants demonstrated significant improvements in knowledge acquisition and self-efficacy scores after viewing individual modules. In addition, participants demonstrated significant improvements in measured clinical compliance with recommended practices over time. Participation in the HOPE MOC Part 4 program appeared to improve knowledge acquisition, self-efficacy, and physician compliance with recommended practice recommendations for the screening, prevention, and management of pediatric obesity. Further data are required to determine whether such practice-based improvements translate into actual reduction in patient weight and/or reduction in health-related costs related to overweight and obesity in youth. Copyright © 2013 Mosby, Inc. All rights reserved.

Towards Agile Ontology Maintenance

NASA Astrophysics Data System (ADS)

Luczak-Rösch, Markus

Ontologies are an appropriate means to represent knowledge on the Web. Research on ontology engineering reached practices for an integrative lifecycle support. However, a broader success of ontologies in Web-based information systems remains unreached while the more lightweight semantic approaches are rather successful. We assume, paired with the emerging trend of services and microservices on the Web, new dynamic scenarios gain momentum in which a shared knowledge base is made available to several dynamically changing services with disparate requirements. Our work envisions a step towards such a dynamic scenario in which an ontology adapts to the requirements of the accessing services and applications as well as the user's needs in an agile way and reduces the experts' involvement in ontology maintenance processes.

Knowledge of skull base anatomy and surgical implications of human sacrifice among pre-Columbian Mesoamerican cultures.

PubMed

Lopez-Serna, Raul; Gomez-Amador, Juan Luis; Barges-Coll, Juan; Arriada-Mendicoa, Nicasio; Romero-Vargas, Samuel; Ramos-Peek, Miguel; Celis-Lopez, Miguel Angel; Revuelta-Gutierrez, Rogelio; Portocarrero-Ortiz, Lesly

2012-08-01

Human sacrifice became a common cultural trait during the advanced phases of Mesoamerican civilizations. This phenomenon, influenced by complex religious beliefs, included several practices such as decapitation, cranial deformation, and the use of human cranial bones for skull mask manufacturing. Archaeological evidence suggests that all of these practices required specialized knowledge of skull base and upper cervical anatomy. The authors conducted a systematic search for information on skull base anatomical and surgical knowledge among Mesoamerican civilizations. A detailed exposition of these results is presented, along with some interesting information extracted from historical documents and pictorial codices to provide a better understanding of skull base surgical practices among these cultures. Paleoforensic evidence from the Great Temple of Tenochtitlan indicates that Aztec priests used a specialized decapitation technique, based on a deep anatomical knowledge. Trophy skulls were submitted through a stepwise technique for skull mask fabrication, based on skull base anatomical landmarks. Understanding pre-Columbian Mesoamerican religions can only be realized by considering them in their own time and according to their own perspective. Several contributions to medical practice might have arisen from anatomical knowledge emerging from human sacrifice and decapitation techniques.

TECHNICAL MANPOWER IN NEW YORK STATE. VOLUME II.

ERIC Educational Resources Information Center

AMATULLI, ANGELO; AND OTHERS

THE JOB CONTENT OF THE TECHNICAL OCCUPATIONS AND THE TECHNICAL SKILLS AND SUBJECT MATTER KNOWLEDGES REQUIRED ARE BASED PRIMARILY ON INFORMATION SUPPLIED BY EMPLOYERS FROM 17,414 ESTABLISHMENTS IN NEW YORK STATE. DATA ARE ALSO GIVEN ON GRADE STRUCTURE, EDUCATION AND EXPERIENCE REQUIREMENTS, TESTS AND LICENSES REQUIRED FOR THE JOB, SOURCES OF…

The Applicant Based Training Model Setting Conditions for Recruiting Success

DTIC Science & Technology

2002-07-01

the RS XO is another critical 32. function that falls into the scope of their responsibly and requires specific training in marketing and advertising . During...Phase I require a solid working knowledge of marketing and advertising . OpsO: Phase II actions require the OpsO receive advanced training in data

A Knowledge Base for Teaching Biology Situated in the Context of Genetic Testing

NASA Astrophysics Data System (ADS)

van der Zande, Paul; Waarlo, Arend Jan; Brekelmans, Mieke; Akkerman, Sanne F.; Vermunt, Jan D.

2011-10-01

Recent developments in the field of genomics will impact the daily practice of biology teachers who teach genetics in secondary education. This study reports on the first results of a research project aimed at enhancing biology teacher knowledge for teaching genetics in the context of genetic testing. The increasing body of scientific knowledge concerning genetic testing and the related consequences for decision-making indicate the societal relevance of such a situated learning approach. What content knowledge do biology teachers need for teaching genetics in the personal health context of genetic testing? This study describes the required content knowledge by exploring the educational practice and clinical genetic practices. Nine experienced teachers and 12 respondents representing the clinical genetic practices (clients, medical professionals, and medical ethicists) were interviewed about the biological concepts and ethical, legal, and social aspects (ELSA) of testing they considered relevant to empowering students as future health care clients. The ELSA suggested by the respondents were complemented by suggestions found in the literature on genetic counselling. The findings revealed that the required teacher knowledge consists of multiple layers that are embedded in specific genetic test situations: on the one hand, the knowledge of concepts represented by the curricular framework and some additional concepts (e.g. multifactorial and polygenic disorder) and, on the other hand, more knowledge of ELSA and generic characteristics of genetic test practice (uncertainty, complexity, probability, and morality). Suggestions regarding how to translate these characteristics, concepts, and ELSA into context-based genetics education are discussed.

Towards Competence-Based Practices in Vocational Education -- What Will the Process Require from Teacher Education and Teacher Identities?

ERIC Educational Resources Information Center

Nissilä, Säde-Pirkko; Karjalainen, Asko; Koukkari, Marja; Kepanen, Pirkko

2015-01-01

Competence-based education refers to the integration of knowledge, skills, attitudes and interactivity as the intended outcomes of learning. It makes use of lifelong learning and lifelike tasks in realistic settings and requires the cooperation of teachers. This research was prompted by the desire to explain why collegial cooperation often seems…

Holistic Nursing in the Genetic/Genomic Era.

PubMed

Sharoff, Leighsa

2016-06-01

Holistic nursing practice is an ever-evolving transformative process with core values that require continued growth, professional leadership, and advocacy. Holistic nurses are required to stay current with all new required competencies, such as the Core Competencies in Genetics for Health Professional, and, as such, be adept at translating scientific evidence relating to genetics/genomics in the clinical setting. Knowledge of genetics/genomics in relation to nursing practice, policy, utilization, and research influence nurses' responsibilities. In addition to holistic nursing competencies, the holistic nurse must have basic knowledge and skills to integrate genetics/genomics aspects. It is important for holistic nurses to enhance their overall knowledge foundation, skills, and attitudes about genetics to prepare for the transformation in health care that is already underway. Holistic nurses can provide an important perspective to the application of genetics and genomics, focusing on health promotion, caring, and understanding the relationship between caring and families, community, and society. Yet there may be a lack of genetic and genomic knowledge to fully participate in the current genomic era. This article will explore the required core competencies for all health care professionals, share linkage of holistic nurses in practice with genetic/genomic conditions, and provide resources to further one's knowledge base. © The Author(s) 2015.

Design of customer knowledge management system for Aglaonema Nursery in South Tangerang, Indonesia

NASA Astrophysics Data System (ADS)

Sugiarto, D.; Mardianto, I.; Dewayana, TS; Khadafi, M.

2017-12-01

The purpose of this paper is to describe the design of customer knowledge management system to support customer relationship management activities for an aglaonema nursery in South Tangerang, Indonesia. System. The steps were knowledge identification (knowledge about customer, knowledge from customer, knowledge for customer), knowledge capture, codification, analysis of system requirement and create use case and activity diagram. The result showed that some key knowledge were about supporting customer in plant care (know how) and types of aglaonema including with the prices (know what). That knowledge for customer then codified and shared in knowledge portal website integrated with social media. Knowledge about customer were about customers and their behaviour in purchasing aglaonema. Knowledge from customer were about feedback, favorite and customer experience. Codified knowledge were placed and shared using content management system based on wordpress.

Beyond rules: The next generation of expert systems

NASA Technical Reports Server (NTRS)

Ferguson, Jay C.; Wagner, Robert E.

1987-01-01

The PARAGON Representation, Management, and Manipulation system is introduced. The concepts of knowledge representation, knowledge management, and knowledge manipulation are combined in a comprehensive system for solving real world problems requiring high levels of expertise in a real time environment. In most applications the complexity of the problem and the representation used to describe the domain knowledge tend to obscure the information from which solutions are derived. This inhibits the acquisition of domain knowledge verification/validation, places severe constraints on the ability to extend and maintain a knowledge base while making generic problem solving strategies difficult to develop. A unique hybrid system was developed to overcome these traditional limitations.

Generation of surgical pathology report using a 5,000-word speech recognizer.

PubMed

Tischler, A S; Martin, M R

1989-10-01

Pressures to decrease both turnaround time and operating costs simultaneously have placed conflicting demands on traditional forms of medical transcription. The new technology of voice recognition extends the promise of enabling the pathologist or other medical professional to dictate a correct report and have it printed and/or transmitted to a database immediately. The usefulness of voice recognition systems depends on several factors, including ease of use, reliability, speed, and accuracy. These in turn depend on the general underlying design of the systems and inclusion in the systems of a specific knowledge base appropriate for each application. Development of a good knowledge base requires close collaboration between a domain expert and a knowledge engineer with expertise in voice recognition. The authors have recently completed a knowledge base for surgical pathology using the Kurzweil VoiceReport 5,000-word system.

The computer integrated documentation project: A merge of hypermedia and AI techniques

NASA Technical Reports Server (NTRS)

Mathe, Nathalie; Boy, Guy

1993-01-01

To generate intelligent indexing that allows context-sensitive information retrieval, a system must be able to acquire knowledge directly through interaction with users. In this paper, we present the architecture for CID (Computer Integrated Documentation). CID is a system that enables integration of various technical documents in a hypertext framework and includes an intelligent browsing system that incorporates indexing in context. CID's knowledge-based indexing mechanism allows case based knowledge acquisition by experimentation. It utilizes on-line user information requirements and suggestions either to reinforce current indexing in case of success or to generate new knowledge in case of failure. This allows CID's intelligent interface system to provide helpful responses, based on previous experience (user feedback). We describe CID's current capabilities and provide an overview of our plans for extending the system.

The Silencing of the Knowledge-Base in Early Childhood Education and Care Professionalism

ERIC Educational Resources Information Center

Campbell-Barr, Verity

2018-01-01

It is widely accepted that the early childhood education and care (ECEC) workforce is central to the quality of services. Modernist constructs of quality signal the importance of qualifications for quality, but the preoccupation with qualification levels silences questions about the knowledge required of ECEC professionals. Postmodern perspectives…

Can History Succeed at School? Problems of Knowledge in the Australian History Curriculum

ERIC Educational Resources Information Center

Gilbert, Rob

2011-01-01

Successful curriculum development in any school subject requires a clear and established set of elements: agreed and widely appreciated goals; effective criteria for the selection of important knowledge content; and an explicit and well-integrated explanatory base for authentic problem-solving related to the subject goals. The article shows that…

Reusable rocket engine turbopump health monitoring system, part 3

NASA Technical Reports Server (NTRS)

Perry, John G.

1989-01-01

Degradation mechanisms and sensor identification/selection resulted in a list of degradation modes and a list of sensors that are utilized in the diagnosis of these degradation modes. The sensor list is divided into primary and secondary indicators of the corresponding degradation modes. The signal conditioning requirements are discussed, describing the methods of producing the Space Shuttle Main Engine (SSME) post-hot-fire test data to be utilized by the Health Monitoring System. Development of the diagnostic logic and algorithms is also presented. The knowledge engineering approach, as utilized, includes the knowledge acquisition effort, characterization of the expert's problem solving strategy, conceptually defining the form of the applicable knowledge base, and rule base, and identifying an appropriate inferencing mechanism for the problem domain. The resulting logic flow graphs detail the diagnosis/prognosis procedure as followed by the experts. The nature and content of required support data and databases is also presented. The distinction between deep and shallow types of knowledge is identified. Computer coding of the Health Monitoring System is shown to follow the logical inferencing of the logic flow graphs/algorithms.

49 CFR 383.111 - Required knowledge.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 49 Transportation 5 2011-10-01 2011-10-01 false Required knowledge. 383.111 Section 383.111... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.111 Required knowledge. (a) All CMV operators must have knowledge of the following 20 general areas: (1) Safe operations regulations...

49 CFR 383.111 - Required knowledge.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 49 Transportation 5 2010-10-01 2010-10-01 false Required knowledge. 383.111 Section 383.111... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.111 Required knowledge. All commercial motor vehicle operators must have knowledge of the following general areas: (a) Safe operations...

Scalable Learning for Geostatistics and Speaker Recognition

DTIC Science & Technology

2011-01-01

of prior knowledge of the model or due to improved robustness requirements). Both these methods have their own advantages and disadvantages. The use...application. If the data is well-correlated and low-dimensional, any prior knowledge available on the data can be used to build a parametric model. In the...absence of prior knowledge , non-parametric methods can be used. If the data is high-dimensional, PCA based dimensionality reduction is often the first

Do short courses in evidence based medicine improve knowledge and skills? Validation of Berlin questionnaire and before and after study of courses in evidence based medicine

PubMed Central

Fritsche, L; Greenhalgh, T; Falck-Ytter, Y; Neumayer, H-H; Kunz, R

2002-01-01

Objective To develop and validate an instrument for measuring knowledge and skills in evidence based medicine and to investigate whether short courses in evidence based medicine lead to a meaningful increase in knowledge and skills. Design Development and validation of an assessment instrument and before and after study. Setting Various postgraduate short courses in evidence based medicine in Germany. Participants The instrument was validated with experts in evidence based medicine, postgraduate doctors, and medical students. The effect of courses was assessed by postgraduate doctors from medical and surgical backgrounds. Intervention Intensive 3 day courses in evidence based medicine delivered through tutor facilitated small groups. Main outcome measure Increase in knowledge and skills. Results The questionnaire distinguished reliably between groups with different expertise in evidence based medicine. Experts attained a threefold higher average score than students. Postgraduates who had not attended a course performed better than students but significantly worse than experts. Knowledge and skills in evidence based medicine increased after the course by 57% (mean score before course 6.3 (SD 2.9) v 9.9 (SD 2.8), P<0.001). No difference was found among experts or students in absence of an intervention. Conclusions The instrument reliably assessed knowledge and skills in evidence based medicine. An intensive 3 day course in evidence based medicine led to a significant increase in knowledge and skills. What is already known on this topicNumerous observational studies have investigated the impact of teaching evidence based medicine to healthcare professionals, with conflicting resultsMost of the studies were of poor methodological qualityWhat this study addsAn instrument assessing basic knowledge and skills required for practising evidence based medicine was developed and validatedAn intensive 3 day course on evidence based medicine for doctors from various backgrounds and training level led to a clinically meaningful improvement of knowledge and skills PMID:12468485

Advanced Networks in Dental Rich Online MEDiA (ANDROMEDA)

NASA Astrophysics Data System (ADS)

Elson, Bruce; Reynolds, Patricia; Amini, Ardavan; Burke, Ezra; Chapman, Craig

There is growing demand for dental education and training not only in terms of knowledge but also skills. This demand is driven by continuing professional development requirements in the more developed economies, personnel shortages and skills differences across the European Union (EU) accession states and more generally in the developing world. There is an excellent opportunity for the EU to meet this demand by developing an innovative online flexible learning platform (FLP). Current clinical online systems are restricted to the delivery of general, knowledge-based training with no easy method of personalization or delivery of skill-based training. The PHANTOM project, headed by Kings College London is developing haptic-based virtual reality training systems for clinical dental training. ANDROMEDA seeks to build on this and establish a Flexible Learning Platform that can integrate the haptic and sensor based training with rich media knowledge transfer, whilst using sophisticated technologies such as including service-orientated architecture (SOA), Semantic Web technologies, knowledge-based engineering, business intelligence (BI) and virtual worlds for personalization.

Diabetes knowledge in nursing homes and home-based care services: a validation study of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel.

PubMed

Haugstvedt, Anne; Aarflot, Morten; Igland, Jannicke; Landbakk, Tilla; Graue, Marit

2016-01-01

Providing high-quality diabetes care in nursing homes and home-based care facilities requires suitable instruments to evaluate the level of diabetes knowledge among the health-care providers. Thus, the aim of this study was to examine the psychometric properties of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel. The study included 127 nursing personnel (32 registered nurses, 69 nursing aides and 26 nursing assistants) at three nursing homes and one home-based care facility in Norway. We examined the reliability and content and construct validity of the Michigan Diabetes Knowledge Test. The items in both the general diabetes subscale and the insulin-use subscale were considered relevant and appropriate. The instrument showed satisfactory properties for distinguishing between groups. Item response theory-based measurements and item information curves indicate maximum information at average or lower knowledge scores. Internal consistency and the item-total correlations were quite weak, indicating that the Michigan Diabetes Knowledge Test measures a set of items related to various relevant knowledge topics but not necessarily related to each other. The Michigan Diabetes Knowledge Test measures a broad range of topics relevant to diabetes care. It is an appropriate instrument for identifying individual and distinct needs for diabetes education among nursing personnel. The knowledge gaps identified by the Michigan Diabetes Knowledge Test could also provide useful input for the content of educational activities. However, some revision of the test should be considered.

Excellence in clinical teaching: knowledge transformation and development required.

PubMed

Irby, David M

2014-08-01

Clinical teachers in medicine face the daunting task of mastering the many domains of knowledge needed for practice and teaching. The breadth and complexity of this knowledge continue to increase, as does the difficulty of transforming the knowledge into concepts that are understandable to learners. Properly targeted faculty development has the potential to expedite the knowledge transformation process for clinical teachers. Based on my own research in clinical teaching and faculty development, as well as the work of others, I describe the unique forms of clinical teacher knowledge, the transformation of that knowledge for teaching purposes and implications for faculty development. The following forms of knowledge for clinical teaching in medicine need to be mastered and transformed: (i) knowledge of medicine and patients; (ii) knowledge of context; (iii) knowledge of pedagogy and learners, and (iv) knowledge integrated into teaching scripts. This knowledge is employed and conveyed through the parallel processes of clinical reasoning and clinical instructional reasoning. Faculty development can facilitate this knowledge transformation process by: (i) examining, deconstructing and practising new teaching scripts; (ii) focusing on foundational concepts; (iii) demonstrating knowledge-in-use, and (iv) creating a supportive organisational climate for clinical teaching. To become an excellent clinical teacher in medicine requires the transformation of multiple forms of knowledge for teaching purposes. These domains of knowledge allow clinical teachers to provide tailored instruction to learners at varying levels in the context of fast-paced and demanding clinical practice. Faculty development can facilitate this knowledge transformation process. © 2014 John Wiley & Sons Ltd.

Hospital information management system: an evolutionary knowledge management perspective.

PubMed

Wadhwa, S; Saxena, Avneet; Wadhwa, Bharat

2007-01-01

The evolving paradigm shift resulting from IT, social and technological changes has created a need for developing an innovative knowledge-based healthcare system, which can effectively meet global healthcare system demands and also cater to future trends. The Hospital Information Management System (HIMS) is developed with this sole aim in mind, which helps in processing and management of hospital information not only inside the boundary, but also beyond the hospital boundary, e.g., telemedicine or e-healthcare. The purpose of this paper is to present such kind of functional HIMS, which can efficiently satisfy the current and future system requirements by using Knowledge Management (KM) and data management systems. The HIMS is developed in a KM context, wherein users can share and use the knowledge more effectively. The proposed system is fully compatible with future technical, social, managerial and economical requirements.

The KATE shell: An implementation of model-based control, monitor and diagnosis

NASA Technical Reports Server (NTRS)

Cornell, Matthew

1987-01-01

The conventional control and monitor software currently used by the Space Center for Space Shuttle processing has many limitations such as high maintenance costs, limited diagnostic capabilities and simulation support. These limitations have caused the development of a knowledge based (or model based) shell to generically control and monitor electro-mechanical systems. The knowledge base describes the system's structure and function and is used by a software shell to do real time constraints checking, low level control of components, diagnosis of detected faults, sensor validation, automatic generation of schematic diagrams and automatic recovery from failures. This approach is more versatile and more powerful than the conventional hard coded approach and offers many advantages over it, although, for systems which require high speed reaction times or aren't well understood, knowledge based control and monitor systems may not be appropriate.

How do video-based demonstration assessment tasks affect problem-solving process, test anxiety, chemistry anxiety and achievement in general chemistry students?

NASA Astrophysics Data System (ADS)

Terrell, Rosalind Stephanie

2001-12-01

Because paper-and-pencil testing provides limited knowledge about what students know about chemical phenomena, we have developed video-based demonstrations to broaden measurement of student learning. For example, students might be shown a video demonstrating equilibrium shifts. Two methods for viewing equilibrium shifts are changing the concentration of the reactants and changing the temperature of the system. The students are required to combine the data collected from the video and their knowledge of chemistry to determine which way the equilibrium shifts. Video-based demonstrations are important techniques for measuring student learning because they require students to apply conceptual knowledge learned in class to a specific chemical problem. This study explores how video-based demonstration assessment tasks affect problem-solving processes, test anxiety, chemistry anxiety and achievement in general chemistry students. Several instruments were used to determine students' knowledge about chemistry, students' test and chemistry anxiety before and after treatment. Think-aloud interviews were conducted to determine students' problem-solving processes after treatment. The treatment group was compared to a control group and a group watching video demonstrations. After treatment students' anxiety increased and achievement decreased. There were also no significant differences found in students' problem-solving processes following treatment. These negative findings may be attributed to several factors that will be explored in this study.

42 CFR 425.112 - Required processes and patient-centeredness criteria.

Code of Federal Regulations, 2013 CFR

2013-10-01

.... (a) General. (1) An ACO must— (i) Promote evidence-based medicine and beneficiary engagement... to accomplish the following: (1) Promote evidence-based medicine. These processes must cover...) Communication of clinical knowledge/evidence-based medicine to beneficiaries in a way that is understandable to...

42 CFR 425.112 - Required processes and patient-centeredness criteria.

Code of Federal Regulations, 2014 CFR

2014-10-01

.... (a) General. (1) An ACO must— (i) Promote evidence-based medicine and beneficiary engagement... to accomplish the following: (1) Promote evidence-based medicine. These processes must cover...) Communication of clinical knowledge/evidence-based medicine to beneficiaries in a way that is understandable to...

42 CFR 425.112 - Required processes and patient-centeredness criteria.

Code of Federal Regulations, 2012 CFR

2012-10-01

.... (a) General. (1) An ACO must— (i) Promote evidence-based medicine and beneficiary engagement... to accomplish the following: (1) Promote evidence-based medicine. These processes must cover...) Communication of clinical knowledge/evidence-based medicine to beneficiaries in a way that is understandable to...

Vocabulary Levels and Size of Malaysian Undergraduates

ERIC Educational Resources Information Center

Harji, Madhubala Bava; Balakrishnan, Kavitha; Bhar, Sareen Kaur; Letchumanan, Krishnaveni

2015-01-01

Vocabulary is a fundamental requirement of language acquisition, and its competence enables independent reading and effective language acquisition. Effective language use requires adequate level of vocabulary knowledge; therefore, efforts must be made to identify students' vocabulary base for greater efficiency and competency in the language.…

Improvement of sand filter and constructed wetland design using an environmental decision support system.

PubMed

Turon, Clàudia; Comas, Joaquim; Torrens, Antonina; Molle, Pascal; Poch, Manel

2008-01-01

With the aim of improving effluent quality of waste stabilization ponds, different designs of vertical flow constructed wetlands and intermittent sand filters were tested on an experimental full-scale plant within the framework of a European project. The information extracted from this study was completed and updated with heuristic and bibliographic knowledge. The data and knowledge acquired were difficult to integrate into mathematical models because they involve qualitative information and expert reasoning. Therefore, it was decided to develop an environmental decision support system (EDSS-Filter-Design) as a tool to integrate mathematical models and knowledge-based techniques. This paper describes the development of this support tool, emphasizing the collection of data and knowledge and representation of this information by means of mathematical equations and a rule-based system. The developed support tool provides the main design characteristics of filters: (i) required surface, (ii) media type, and (iii) media depth. These design recommendations are based on wastewater characteristics, applied load, and required treatment level data provided by the user. The results of the EDSS-Filter-Design provide appropriate and useful information and guidelines on how to design filters, according to the expert criteria. The encapsulation of the information into a decision support system reduces the design period and provides a feasible, reasoned, and positively evaluated proposal.

Knowledge engineering for health: a new discipline required to bridge the "ICT gap" between research and healthcare.

PubMed

Beck, Tim; Gollapudi, Sirisha; Brunak, Søren; Graf, Norbert; Lemke, Heinz U; Dash, Debasis; Buchan, Iain; Díaz, Carlos; Sanz, Ferran; Brookes, Anthony J

2012-05-01

Despite vast amount of money and research being channeled toward biomedical research, relatively little impact has been made on routine clinical practice. At the heart of this failure is the information and communication technology "chasm" that exists between research and healthcare. A new focus on "knowledge engineering for health" is needed to facilitate knowledge transmission across the research-healthcare gap. This discipline is required to engineer the bidirectional flow of data: processing research data and knowledge to identify clinically relevant advances and delivering these into healthcare use; conversely, making outcomes from the practice of medicine suitably available for use by the research community. This system will be able to self-optimize in that outcomes for patients treated by decisions that were based on the latest research knowledge will be fed back to the research world. A series of meetings, culminating in the "I-Health 2011" workshop, have brought together interdisciplinary experts to map the challenges and requirements for such a system. Here, we describe the main conclusions from these meetings. An "I4Health" interdisciplinary network of experts now exists to promote the key aims and objectives, namely "integrating and interpreting information for individualized healthcare," by developing the "knowledge engineering for health" domain. © 2012 Wiley Periodicals, Inc.

Training-Based Requirements for Semi-Automated Forces

DTIC Science & Technology

1999-03-01

ARI Research Note 99-18 Training-based Requirements for Semi-Automated Forces Jim Kornell Syukhtun Research, Inc. Research and Advanced Concepts ... Concepts , Inc.; Dr. Susan Fischer, of Anacapa Sciences, Inc.; and Lt. Col. Ken Bell, ret., of THETA Technologies, Inc. All conclusions and...construed) in terms of symbols and concepts , and/or the learning of procedural knowledge. • Cognitive strategies. Skills for governing thinking. This

A knowledge-based approach to improving and homogenizing intensity modulated radiation therapy planning quality among treatment centers: an example application to prostate cancer planning.

PubMed

Good, David; Lo, Joseph; Lee, W Robert; Wu, Q Jackie; Yin, Fang-Fang; Das, Shiva K

2013-09-01

Intensity modulated radiation therapy (IMRT) treatment planning can have wide variation among different treatment centers. We propose a system to leverage the IMRT planning experience of larger institutions to automatically create high-quality plans for outside clinics. We explore feasibility by generating plans for patient datasets from an outside institution by adapting plans from our institution. A knowledge database was created from 132 IMRT treatment plans for prostate cancer at our institution. The outside institution, a community hospital, provided the datasets for 55 prostate cancer cases, including their original treatment plans. For each "query" case from the outside institution, a similar "match" case was identified in the knowledge database, and the match case's plan parameters were then adapted and optimized to the query case by use of a semiautomated approach that required no expert planning knowledge. The plans generated with this knowledge-based approach were compared with the original treatment plans at several dose cutpoints. Compared with the original plan, the knowledge-based plan had a significantly more homogeneous dose to the planning target volume and a significantly lower maximum dose. The volumes of the rectum, bladder, and femoral heads above all cutpoints were nominally lower for the knowledge-based plan; the reductions were significantly lower for the rectum. In 40% of cases, the knowledge-based plan had overall superior (lower) dose-volume histograms for rectum and bladder; in 54% of cases, the comparison was equivocal; in 6% of cases, the knowledge-based plan was inferior for both bladder and rectum. Knowledge-based planning was superior or equivalent to the original plan in 95% of cases. The knowledge-based approach shows promise for homogenizing plan quality by transferring planning expertise from more experienced to less experienced institutions. Copyright © 2013 Elsevier Inc. All rights reserved.

Mentor-mentee Relationship: A Win-Win Contract In Graduate Medical Education.

PubMed

Toklu, Hale Z; Fuller, Jacklyn C

2017-12-05

Scholarly activities (i.e., the discovery of new knowledge; development of new technologies, methods, materials, or uses; integration of knowledge leading to new understanding) are intended to measure the quality and quantity of dissemination of knowledge. A successful mentorship program is necessary during residency to help residents achieve the six core competencies (patient care, medical knowledge, practice-based learning and improvement, systems-based practice, professionalism, interpersonal and communication skills) required by the Accreditation Council for Graduate Medical Education (ACGME). The role of the mentor in this process is pivotal in the advancement of the residents' knowledge about evidence-based medicine. With this process, while mentees become more self-regulated, exhibit confidence in their performance, and demonstrate more insight and aptitude in their jobs, mentors also achieve elevated higher self-esteem, enhanced leadership skills, and personal gratification. As such, we may conclude that mentoring is a two-sided relationship; i.e., a 'win-win' style of commitment between the mentor and mentee. Hence, both parties will eventually advance academically, as well as professionally.

Using knowledge brokering to promote evidence-based policy-making: The need for support structures.

PubMed Central

van Kammen, Jessika; de Savigny, Don; Sewankambo, Nelson

2006-01-01

Knowledge brokering is a promising strategy to close the "know-do gap" and foster greater use of research findings and evidence in policy-making. It focuses on organizing the interactive process between the producers and users of knowledge so that they can co-produce feasible and research-informed policy options. We describe a recent successful experience with this novel approach in the Netherlands and discuss the requirements for effective institutionalization of knowledge brokering. We also discuss the potential of this approach to assist health policy development in low-income countries based on the experience of developing the Regional East-African Health (REACH)-Policy Initiative. We believe that intermediary organizations, such as regional networks, dedicated institutional mechanisms and funding agencies, can play key roles in supporting knowledge brokering. We recommend the need to support and learn from the brokerage approach to strengthen the relationship between the research and policy communities and hence move towards a stronger culture of evidence-based policy and policy-relevant research. PMID:16917647

Graphical explanation in an expert system for Space Station Freedom rack integration

NASA Technical Reports Server (NTRS)

Craig, F. G.; Cutts, D. E.; Fennel, T. R.; Purves, B.

1990-01-01

The rationale and methodology used to incorporate graphics into explanations provided by an expert system for Space Station Freedom rack integration is examined. The rack integration task is typical of a class of constraint satisfaction problems for large programs where expertise from several areas is required. Graphically oriented approaches are used to explain the conclusions made by the system, the knowledge base content, and even at more abstract levels the control strategies employed by the system. The implemented architecture combines hypermedia and inference engine capabilities. The advantages of this architecture include: closer integration of user interface, explanation system, and knowledge base; the ability to embed links to deeper knowledge underlying the compiled knowledge used in the knowledge base; and allowing for more direct control of explanation depth and duration by the user. The graphical techniques employed range from simple statis presentation of schematics to dynamic creation of a series of pictures presented motion picture style. User models control the type, amount, and order of information presented.

Organization and integration of biomedical knowledge with concept maps for key peroxisomal pathways.

PubMed

Willemsen, A M; Jansen, G A; Komen, J C; van Hooff, S; Waterham, H R; Brites, P M T; Wanders, R J A; van Kampen, A H C

2008-08-15

One important area of clinical genomics research involves the elucidation of molecular mechanisms underlying (complex) disorders which eventually may lead to new diagnostic or drug targets. To further advance this area of clinical genomics one of the main challenges is the acquisition and integration of data, information and expert knowledge for specific biomedical domains and diseases. Currently the required information is not very well organized but scattered over biological and biomedical databases, basic text books, scientific literature and experts' minds and may be highly specific, heterogeneous, complex and voluminous. We present a new framework to construct knowledge bases with concept maps for presentation of information and the web ontology language OWL for the representation of information. We demonstrate this framework through the construction of a peroxisomal knowledge base, which focuses on four key peroxisomal pathways and several related genetic disorders. All 155 concept maps in our knowledge base are linked to at least one other concept map, which allows the visualization of one big network of related pieces of information. The peroxisome knowledge base is available from www.bioinformaticslaboratory.nl (Support-->Web applications). Supplementary data is available from www.bioinformaticslaboratory.nl (Research-->Output--> Publications--> KB_SuppInfo)

Pediatric skin care: what do nurses really know?

PubMed

Drake, Jennifer; Redfern, Wendi S; Sherburne, Eileen; Nugent, Melodee L; Simpson, Pippa

2012-10-01

The purpose of this study was to explore pediatric nurses' knowledge of pressure ulcer prevention, investigate their beliefs and practices, and identify the barriers and facilitators to providing evidence-based pressure ulcer preventive practices. An exploratory, descriptive, and cross-sectional survey was taken of registered nurses in a freestanding children's hospital. Nurses have adequate knowledge of general pressure ulcer prevention; however, they struggle with individualization. Further, analysis revealed that nursing knowledge did not always correlate with nursing practice. Nurses require education on individualized interventions and access to user-friendly, interactive, and comprehensive resources, including unit-based champions and order sets. © 2012, Wiley Periodicals, Inc.

The Defence Medical Library Service and military medicine.

PubMed

Walker, S B

2005-01-01

The Defence Medical Library Service (DMLS) supports the clinical practice and career development of military health professionals across the world. Clinical governance and the need for medical knowledge to be evidence-based means the DMLS has a central role to play in support of defence medicine. The DMLS is important for enabling health professionals to make sense of the evidence-based pyramid and the hierarchy of medical knowledge. The Royal Centre for Defence Medicine (RCDM) in Birmingham is recognised as an international centre of excellence. The information, knowledge and research requirements of the RCDM will provide opportunities for the DMLS to support and engage with the academic community.

From spoken narratives to domain knowledge: mining linguistic data for medical image understanding.

PubMed

Guo, Xuan; Yu, Qi; Alm, Cecilia Ovesdotter; Calvelli, Cara; Pelz, Jeff B; Shi, Pengcheng; Haake, Anne R

2014-10-01

Extracting useful visual clues from medical images allowing accurate diagnoses requires physicians' domain knowledge acquired through years of systematic study and clinical training. This is especially true in the dermatology domain, a medical specialty that requires physicians to have image inspection experience. Automating or at least aiding such efforts requires understanding physicians' reasoning processes and their use of domain knowledge. Mining physicians' references to medical concepts in narratives during image-based diagnosis of a disease is an interesting research topic that can help reveal experts' reasoning processes. It can also be a useful resource to assist with design of information technologies for image use and for image case-based medical education systems. We collected data for analyzing physicians' diagnostic reasoning processes by conducting an experiment that recorded their spoken descriptions during inspection of dermatology images. In this paper we focus on the benefit of physicians' spoken descriptions and provide a general workflow for mining medical domain knowledge based on linguistic data from these narratives. The challenge of a medical image case can influence the accuracy of the diagnosis as well as how physicians pursue the diagnostic process. Accordingly, we define two lexical metrics for physicians' narratives--lexical consensus score and top N relatedness score--and evaluate their usefulness by assessing the diagnostic challenge levels of corresponding medical images. We also report on clustering medical images based on anchor concepts obtained from physicians' medical term usage. These analyses are based on physicians' spoken narratives that have been preprocessed by incorporating the Unified Medical Language System for detecting medical concepts. The image rankings based on lexical consensus score and on top 1 relatedness score are well correlated with those based on challenge levels (Spearman correlation>0.5 and Kendall correlation>0.4). Clustering results are largely improved based on our anchor concept method (accuracy>70% and mutual information>80%). Physicians' spoken narratives are valuable for the purpose of mining the domain knowledge that physicians use in medical image inspections. We also show that the semantic metrics introduced in the paper can be successfully applied to medical image understanding and allow discussion of additional uses of these metrics. Copyright © 2014 Elsevier B.V. All rights reserved.

Behavior determinants among cardiac rehabilitation patients receiving educational interventions: an application of the health action process approach.

PubMed

Ghisi, Gabriela Lima de Melo; Grace, Sherry L; Thomas, Scott; Oh, Paul

2015-05-01

To (1) test the effect of a health action process approach (HAPA) theory-based education program in cardiac rehabilitation (CR) compared to traditional education on patient knowledge and HAPA constructs; and, (2) investigate the theoretical correlates of exercise behavior among CR patients receiving theory-based education. CR patients were exposed to an existing or HAPA-based 6 month education curriculum in this quasi-experimental study. Participants completed a survey assessing exercise behavior, HAPA constructs, and knowledge pre and post-program. 306 patients consented to participate, of which 146 (47.7%) were exposed to the theory-based educational curriculum. There was a significant improvement in patients' overall knowledge pre- to post-CR, as well as in some HAPA constructs and exercise behavior, regardless of curriculum (p < 0.05). Path analysis revealed that knowledge was significantly related to intention formation, and intentions to engage in exercise were not directly related to behavior, which required action planning. The theoretically-informed education curriculum was not associated with greater knowledge or exercise behavior as expected. Education in CR improves knowledge, and theoretical constructs related to exercise behavior. Educational curricula should be designed to not only increase patients' knowledge, but also enhance intentions, self-efficacy, and action planning. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Use of Pictorial Evaluations to Measure Knowledge Gained by Hispanic Landscape Workers Receiving Safety Training

ERIC Educational Resources Information Center

Bauske, Ellen M.; Fuhrman, Nicholas E.; Martinez-Espinoza, Alfredo D.; Orellana, Rolando

2013-01-01

Landscape work is dangerous. In the Southeast, Hispanic workers predominate in landscape industries. The incidence of functional illiteracy in this group of workers is high. A pictorial knowledge-based evaluation instrument was developed to measure the effectiveness of the trainings. No reading skills were required to take the evaluation. The…

Team- and Case-Based Learning to Activate Participants and Enhance Knowledge: An Evaluation of Seminars in Germany

ERIC Educational Resources Information Center

Kuhne-Eversmann, Lisa; Eversmann, Thomas; Fischer, Martin R.

2008-01-01

Introduction: There is a strong need for high-quality continuing medical education (CME) in Germany. To maintain a medical license, physicians are required to participate in regular training. Although evidence suggests that compared to lectures interactive methods can impart sustainable knowledge and a high degree of satisfaction, few interactive…

In Rhode Island, Building a bRIdge to the Knowledge Economy

ERIC Educational Resources Information Center

Leonard, Adam

2012-01-01

In 2008, Rhode Island was in the early stages of refocusing its economic development efforts on transitioning to a knowledge-based economy. This move would require an educated workforce, largely deemed the responsibility of the state's 11 public and private institutions of higher education. For a state with slightly over a million residents and…

A Preservice Special Education Teacher's Construction of Knowledge: Implications for Coursework and Retention in the Field

ERIC Educational Resources Information Center

Morewood, Aimee; Condo, Amy

2012-01-01

This case study looks closely at one preservice special education teacher candidate's views on how her coursework, program requirements, and practical experiences influenced her knowledge of teaching. Her perspectives are examined through the research-based frameworks of Hanline (2010), Shulman (1986), and Cochran-Smith and Lytle (1999). These…

Phonemic Awareness versus Meaning Instruction in Beginning Reading: A Discussion.

ERIC Educational Resources Information Center

Partridge, Susan

Two Schools of thought prominent in reading instruction are: (1) that reading is a language-based skill which requires the reader to have a sound knowledge of phonology and that this knowledge must be at an automatic level of information processing; and (2) that reading problems are the result of being overly attentive to phonetic and orthographic…

An assessment of maintainability of elevator system to improve facilities management knowledge-base

NASA Astrophysics Data System (ADS)

Siti, N. A.; Asmone, A. S.; Chew, M. Y. L.

2018-02-01

Elevator system is a highly specialized machinery that requires technicians that have a wider array of knowledge in maintaining the system to be safe and reliable. While attaining reliable data of elevator malfunction become challenges, this study has filled the gap by gathering the management-maintenance issues and operational defects of elevator system. Forty-three types of operation defects were found and the consequence defects and their possible causes of occurrences were discussed. To respond to the prime challenges of maintaining elevator system provided by the industry players’ perspective, a theoretical framework is established as a recommendation to improve knowledge base of defects in elevator system which comprises good practices, and solutions to rectify each defects found. Hence, this research paper has theoretically improved the knowledge base of maintainability of elevator system and provide meaningful guidelines in practical senses to the industry professionals.

Message Design Guidelines For Screen-Based Programs.

ERIC Educational Resources Information Center

Rimar, G. I.

1996-01-01

Effective message design for screen-based computer or video instructional programs requires knowledge from many disciplines. Evaluates current conventions and suggests a new set of guidelines for screen-based designers. Discusses screen layout, highlighting and cueing, text font and style, text positioning, color, and graphical user interfaces for…

Job requirements compared to medical school education: differences between graduates from problem-based learning and conventional curricula

PubMed Central

2010-01-01

Background Problem-based Learning (PBL) has been suggested as a key educational method of knowledge acquisition to improve medical education. We sought to evaluate the differences in medical school education between graduates from PBL-based and conventional curricula and to what extent these curricula fit job requirements. Methods Graduates from all German medical schools who graduated between 1996 and 2002 were eligible for this study. Graduates self-assessed nine competencies as required at their day-to-day work and as taught in medical school on a 6-point Likert scale. Results were compared between graduates from a PBL-based curriculum (University Witten/Herdecke) and conventional curricula. Results Three schools were excluded because of low response rates. Baseline demographics between graduates of the PBL-based curriculum (n = 101, 49% female) and the conventional curricula (n = 4720, 49% female) were similar. No major differences were observed regarding job requirements with priorities for "Independent learning/working" and "Practical medical skills". All competencies were rated to be better taught in PBL-based curriculum compared to the conventional curricula (all p < 0.001), except for "Medical knowledge" and "Research competence". Comparing competencies required at work and taught in medical school, PBL was associated with benefits in "Interdisciplinary thinking" (Δ + 0.88), "Independent learning/working" (Δ + 0.57), "Psycho-social competence" (Δ + 0.56), "Teamwork" (Δ + 0.39) and "Problem-solving skills" (Δ + 0.36), whereas "Research competence" (Δ - 1.23) and "Business competence" (Δ - 1.44) in the PBL-based curriculum needed improvement. Conclusion Among medical graduates in Germany, PBL demonstrated benefits with regard to competencies which were highly required in the job of physicians. Research and business competence deserve closer attention in future curricular development. PMID:20074350

Job requirements compared to medical school education: differences between graduates from problem-based learning and conventional curricula.

PubMed

Schlett, Christopher L; Doll, Hinnerk; Dahmen, Janosch; Polacsek, Ole; Federkeil, Gero; Fischer, Martin R; Bamberg, Fabian; Butzlaff, Martin

2010-01-14

Problem-based Learning (PBL) has been suggested as a key educational method of knowledge acquisition to improve medical education. We sought to evaluate the differences in medical school education between graduates from PBL-based and conventional curricula and to what extent these curricula fit job requirements. Graduates from all German medical schools who graduated between 1996 and 2002 were eligible for this study. Graduates self-assessed nine competencies as required at their day-to-day work and as taught in medical school on a 6-point Likert scale. Results were compared between graduates from a PBL-based curriculum (University Witten/Herdecke) and conventional curricula. Three schools were excluded because of low response rates. Baseline demographics between graduates of the PBL-based curriculum (n = 101, 49% female) and the conventional curricula (n = 4720, 49% female) were similar. No major differences were observed regarding job requirements with priorities for "Independent learning/working" and "Practical medical skills". All competencies were rated to be better taught in PBL-based curriculum compared to the conventional curricula (all p < 0.001), except for "Medical knowledge" and "Research competence". Comparing competencies required at work and taught in medical school, PBL was associated with benefits in "Interdisciplinary thinking" (Delta + 0.88), "Independent learning/working" (Delta + 0.57), "Psycho-social competence" (Delta + 0.56), "Teamwork" (Delta + 0.39) and "Problem-solving skills" (Delta + 0.36), whereas "Research competence" (Delta--1.23) and "Business competence" (Delta--1.44) in the PBL-based curriculum needed improvement. Among medical graduates in Germany, PBL demonstrated benefits with regard to competencies which were highly required in the job of physicians. Research and business competence deserve closer attention in future curricular development.

Rasmussen's model of human behavior in laparoscopy training.

PubMed

Wentink, M; Stassen, L P S; Alwayn, I; Hosman, R J A W; Stassen, H G

2003-08-01

Compared to aviation, where virtual reality (VR) training has been standardized and simulators have proven their benefits, the objectives, needs, and means of VR training in minimally invasive surgery (MIS) still have to be established. The aim of the study presented is to introduce Rasmussen's model of human behavior as a practical framework for the definition of the training objectives, needs, and means in MIS. Rasmussen distinguishes three levels of human behavior: skill-, rule-, and knowledge-based behaviour. The training needs of a laparoscopic novice can be determined by identifying the specific skill-, rule-, and knowledge-based behavior that is required for performing safe laparoscopy. Future objectives of VR laparoscopy trainers should address all three levels of behavior. Although most commercially available simulators for laparoscopy aim at training skill-based behavior, especially the training of knowledge-based behavior during complications in surgery will improve safety levels. However, the cost and complexity of a training means increases when the training objectives proceed from the training of skill-based behavior to the training of complex knowledge-based behavior. In aviation, human behavior models have been used successfully to integrate the training of skill-, rule-, and knowledge-based behavior in a full flight simulator. Understanding surgeon behavior is one of the first steps towards a future full-scale laparoscopy simulator.

The knowledge-based framework for a nuclear power plant operator advisor

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

Miller, D.W.; Hajek, B.K.

1989-01-01

An important facet in the design, development, and evaluation of aids for complex systems is the identification of the tasks performed by the operator. Operator aids utilizing artificial intelligence, or more specifically knowledge-based systems, require identification of these tasks in the context of a knowledge-based framework. In this context, the operator responses to the plant behavior are to monitor and comprehend the state of the plant, identify normal and abnormal plant conditions, diagnose abnormal plant conditions, predict plant response to specific control actions, and select the best available control action, implement a feasible control action, monitor system response to themore » control action, and correct for any inappropriate responses. These tasks have been identified to formulate a knowledge-based framework for an operator advisor under development at Ohio State University that utilizes the generic task methodology proposed by Chandrasekaran. The paper lays the foundation to identify the responses as a knowledge-based set of tasks in accordance with the expected human operator responses during an event. Initial evaluation of the expert system indicates the potential for an operator aid that will improve the operator's ability to respond to both anticipated and unanticipated events.« less

Why We Don't Collaborate in Response to Climate Change: The Knowledge Deficit, Co-Production, and the Future of the IPCC.

NASA Astrophysics Data System (ADS)

Cook, B. R.; Overpeck, J. T.

2014-12-01

Scientific knowledge production is based on recognizing and filling knowledge deficits or 'gaps' in understanding, but for climate adaptation and mitigation, the applicability of this approach is questionable. The Intergovernmental Panel on Climate Change (IPCC) mandate is an example of this type of 'gap filling,' in which the elimination of uncertainties is presumed to enable rational decision making for individuals and rational governance for societies. Presumed knowledge deficits, though, are unsuited to controversial problems with social, cultural, and economic dimensions; likewise, communication to educate is an ineffective means of inciting behavioural change. An alternative is needed, particularly given the economic, social, and political scale that action on climate change requires. We review the 'deficit-education framing' and show how it maintains a wedge between those affected and those whose knowledge is required. We then review co-production to show how natural and social scientists, as well as the IPCC, might more effectively proceed.

Development of Korean Rare Disease Knowledge Base

PubMed Central

Seo, Heewon; Kim, Dokyoon; Chae, Jong-Hee; Kang, Hee Gyung; Lim, Byung Chan; Cheong, Hae Il

2012-01-01

Objectives Rare disease research requires a broad range of disease-related information for the discovery of causes of genetic disorders that are maladies caused by abnormalities in genes or chromosomes. A rarity in cases makes it difficult for researchers to elucidate definite inception. This knowledge base will be a major resource not only for clinicians, but also for the general public, who are unable to find consistent information on rare diseases in a single location. Methods We design a compact database schema for faster querying; its structure is optimized to store heterogeneous data sources. Then, clinicians at Seoul National University Hospital (SNUH) review and revise those resources. Additionally, we integrated other sources to capture genomic resources and clinical trials in detail on the Korean Rare Disease Knowledge base (KRDK). Results As a result, we have developed a Web-based knowledge base, KRDK, suitable for study of Mendelian diseases that commonly occur among Koreans. This knowledge base is comprised of disease summary and review, causal gene list, laboratory and clinic directory, patient registry, and so on. Furthermore, database for analyzing and giving access to human biological information and the clinical trial management system are integrated on KRDK. Conclusions We expect that KRDK, the first rare disease knowledge base in Korea, may contribute to collaborative research and be a reliable reference for application to clinical trials. Additionally, this knowledge base is ready for querying of drug information so that visitors can search a list of rare diseases that is relative to specific drugs. Visitors can have access to KRDK via http://www.snubi.org/software/raredisease/. PMID:23346478

Relationship Between Climate Change Impact, Migration and Socioeconomic Development

NASA Astrophysics Data System (ADS)

Sann Oo, Kyaw

2016-06-01

Geospatial data are available in raster and vector formats and some of them are available in open data form. The technique and tools to handle those data are also available in open source. Though it is free of charge, the knowledge to utilize those data is limited to non-educated in the specific field. The data and technology should be promoted to those levels to utilize in required fields with priceless in developing countries. Before utilize open data, which are required to verify with local knowledge to become usable information for the local people as priceless data resources. Developing country, which economic is based in agriculture, required more information about precise weather data and weather variation by the climate change impact for their socioeconomic development. This study found that rural to urban migration occurs in the developing countries such agriculture based country likes Myanmar when the agriculture economic are affected by unpredictable impact by the climate change. The knowledge sharing using open data resources to non-educated local people is one of the curable solutions for the agriculture economy development in the country. Moreover, the study will find ways to reduce the rural to urban migration.

Identified research directions for using manufacturing knowledge earlier in the product lifecycle

PubMed Central

Hedberg, Thomas D.; Hartman, Nathan W.; Rosche, Phil; Fischer, Kevin

2016-01-01

Design for Manufacturing (DFM), especially the use of manufacturing knowledge to support design decisions, has received attention in the academic domain. However, industry practice has not been studied enough to provide solutions that are mature for industry. The current state of the art for DFM is often rule-based functionality within Computer-Aided Design (CAD) systems that enforce specific design requirements. That rule-based functionality may or may not dynamically affect geometry definition. And, if rule-based functionality exists in the CAD system, it is typically a customization on a case-by-case basis. Manufacturing knowledge is a phrase with vast meanings, which may include knowledge on the effects of material properties decisions, machine and process capabilities, or understanding the unintended consequences of design decisions on manufacturing. One of the DFM questions to answer is how can manufacturing knowledge, depending on its definition, be used earlier in the product lifecycle to enable a more collaborative development environment? This paper will discuss the results of a workshop on manufacturing knowledge that highlights several research questions needing more study. This paper proposes recommendations for investigating the relationship of manufacturing knowledge with shape, behavior, and context characteristics of product to produce a better understanding of what knowledge is most important. In addition, the proposal includes recommendations for investigating the system-level barriers to reusing manufacturing knowledge and how model-based manufacturing may ease the burden of knowledge sharing. Lastly, the proposal addresses the direction of future research for holistic solutions of using manufacturing knowledge earlier in the product lifecycle. PMID:27990027

Identified research directions for using manufacturing knowledge earlier in the product lifecycle.

PubMed

Hedberg, Thomas D; Hartman, Nathan W; Rosche, Phil; Fischer, Kevin

2017-01-01

Design for Manufacturing (DFM), especially the use of manufacturing knowledge to support design decisions, has received attention in the academic domain. However, industry practice has not been studied enough to provide solutions that are mature for industry. The current state of the art for DFM is often rule-based functionality within Computer-Aided Design (CAD) systems that enforce specific design requirements. That rule-based functionality may or may not dynamically affect geometry definition. And, if rule-based functionality exists in the CAD system, it is typically a customization on a case-by-case basis. Manufacturing knowledge is a phrase with vast meanings, which may include knowledge on the effects of material properties decisions, machine and process capabilities, or understanding the unintended consequences of design decisions on manufacturing. One of the DFM questions to answer is how can manufacturing knowledge, depending on its definition, be used earlier in the product lifecycle to enable a more collaborative development environment? This paper will discuss the results of a workshop on manufacturing knowledge that highlights several research questions needing more study. This paper proposes recommendations for investigating the relationship of manufacturing knowledge with shape, behavior, and context characteristics of product to produce a better understanding of what knowledge is most important. In addition, the proposal includes recommendations for investigating the system-level barriers to reusing manufacturing knowledge and how model-based manufacturing may ease the burden of knowledge sharing. Lastly, the proposal addresses the direction of future research for holistic solutions of using manufacturing knowledge earlier in the product lifecycle.

Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.

PubMed

Tu, Samson W; Hrabak, Karen M; Campbell, James R; Glasgow, Julie; Nyman, Mark A; McClure, Robert; McClay, James; Abarbanel, Robert; Mansfield, James G; Martins, Susana M; Goldstein, Mary K; Musen, Mark A

2006-01-01

Developing computer-interpretable clinical practice guidelines (CPGs) to provide decision support for guideline-based care is an extremely labor-intensive task. In the EON/ATHENA and SAGE projects, we formulated substantial portions of CPGs as computable statements that express declarative relationships between patient conditions and possible interventions. We developed query and expression languages that allow a decision-support system (DSS) to evaluate these statements in specific patient situations. A DSS can use these guideline statements in multiple ways, including: (1) as inputs for determining preferred alternatives in decision-making, and (2) as a way to provide targeted commentaries in the clinical information system. The use of these declarative statements significantly reduces the modeling expertise and effort required to create and maintain computer-interpretable knowledge bases for decision-support purpose. We discuss possible implications for sharing of such knowledge bases.

Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts.

PubMed

Araszkiewicz, Michał; Łopatkiewicz, Agata; Zienkiewicz, Adam; Zurek, Tomasz

2015-01-01

Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains.

Framing a Knowledge Base for a Legal Expert System Dealing with Indeterminate Concepts

PubMed Central

Araszkiewicz, Michał; Łopatkiewicz, Agata; Zienkiewicz, Adam

2015-01-01

Despite decades of development of formal tools for modelling legal knowledge and reasoning, the creation of a fully fledged legal decision support system remains challenging. Among those challenges, such system requires an enormous amount of commonsense knowledge to derive legal expertise. This paper describes the development of a negotiation decision support system (the Parenting Plan Support System or PPSS) to support parents in drafting an agreement (the parenting plan) for the exercise of parental custody of minor children after a divorce is granted. The main objective here is to discuss problems of framing an intuitively appealing and computationally efficient knowledge base that can adequately represent the indeterminate legal concept of the well-being of the child in the context of continental legal culture and of Polish law in particular. In addition to commonsense reasoning, interpretation of such a concept demands both legal expertise and significant professional knowledge from other domains. PMID:26495435

Sustaining clinician penetration, attitudes and knowledge in cognitive-behavioral therapy for youth anxiety

PubMed Central

2014-01-01

Background Questions remain regarding the sustainment of evidence-based practices following implementation. The present study examined the sustainment of community clinicians’ implementation (i.e., penetration) of cognitive-behavioral therapy, attitudes toward evidence-based practices, and knowledge of cognitive-behavioral therapy for youth anxiety two years following training and consultation in cognitive-behavioral therapy for youth anxiety. Methods Of the original 115 participants, 50 individuals (43%) participated in the two-year follow-up. A t- test examined sustainment in penetration over time. Hierarchical linear modeling examined sustainment in knowledge and attitudes over time. Time spent in consultation sessions was examined as a potential moderator of the change in knowledge and attitudes. Results Findings indicated sustained self-reported penetration of cognitive-behavioral therapy for anxious youth, with low fidelity to some key CBT components (i.e., exposure tasks). Follow-up knowledge was higher than at baseline but lower than it had been immediately following the consultation phase of the study. Belief in the utility of evidence-based practices was sustained. Willingness to implement an evidence-based practice if required to do so, appeal of evidence-based practices, and openness toward evidence-based practices were not sustained. Participation in consultation positively moderated changes in knowledge and some attitudes. Conclusions Sustainment varied depending on the outcome examined. Generally, greater participation in consultation predicted greater sustainment. Implications for future training include higher dosages of consultation. PMID:25030651

Florida and Tennessee: Accountability in Civic Education

ERIC Educational Resources Information Center

Delander, Brady

2014-01-01

While most states require testing in social studies or civic education, two states attach consequences for students and schools based on required statewide civics exams. Lawmakers in Florida, in 2010, and in Tennessee, in 2012, approved legislation that holds students accountable for their civics knowledge. Students are taking the tests for the…

Relationship between Workplace Spatial Settings and Occupant-Perceived Support for Collaboration

ERIC Educational Resources Information Center

Hua, Ying; Loftness, Vivian; Heerwagen, Judith H.; Powell, Kevin M.

2011-01-01

The increasingly collaborative nature of knowledge-based work requires workplaces to support both dynamic interactions and concentrated work, both of which are critical for collaboration performance. Given the prevalence of open-plan settings, this requirement has created new challenges for workplace design. Therefore, an understanding of the…

Report of the Aircraft Systems/Flight Test Workshop Held at East Point, Georgia on 8-17 November 1977.

DTIC Science & Technology

1977-11-01

prior knowledge to decrease the amount of manpower and time required to evaluate the second package, but in principle, each STC package must be...techniques. Our knowledge of the problems, hazards, and pitfalls in the use of these techniques is very limited. Background: We do not have sufficient...prediction techniques, and what recommendations we would like to make, based on the limited knowledge we currently have. I would really like to spend another

Automation based on knowledge modeling theory and its applications in engine diagnostic systems using Space Shuttle Main Engine vibrational data. M.S. Thesis

NASA Technical Reports Server (NTRS)

Kim, Jonnathan H.

1995-01-01

Humans can perform many complicated tasks without explicit rules. This inherent and advantageous capability becomes a hurdle when a task is to be automated. Modern computers and numerical calculations require explicit rules and discrete numerical values. In order to bridge the gap between human knowledge and automating tools, a knowledge model is proposed. Knowledge modeling techniques are discussed and utilized to automate a labor and time intensive task of detecting anomalous bearing wear patterns in the Space Shuttle Main Engine (SSME) High Pressure Oxygen Turbopump (HPOTP).

Data to knowledge: how to get meaning from your result.

PubMed

Berman, Helen M; Gabanyi, Margaret J; Groom, Colin R; Johnson, John E; Murshudov, Garib N; Nicholls, Robert A; Reddy, Vijay; Schwede, Torsten; Zimmerman, Matthew D; Westbrook, John; Minor, Wladek

2015-01-01

Structural and functional studies require the development of sophisticated 'Big Data' technologies and software to increase the knowledge derived and ensure reproducibility of the data. This paper presents summaries of the Structural Biology Knowledge Base, the VIPERdb Virus Structure Database, evaluation of homology modeling by the Protein Model Portal, the ProSMART tool for conformation-independent structure comparison, the LabDB 'super' laboratory information management system and the Cambridge Structural Database. These techniques and technologies represent important tools for the transformation of crystallographic data into knowledge and information, in an effort to address the problem of non-reproducibility of experimental results.

Who Writes the Past? Student Perceptions of Wikipedia Knowledge and Credibility in a World History Classroom

ERIC Educational Resources Information Center

Calkins, Susanna; Kelley, Matthew R.

2009-01-01

The authors describe an inquiry-based learning project that required students in a first-year world history course to reflect on and analyze critically the nature of the knowledge found in Wikipedia--the free, open-content, rapidly evolving, internet encyclopedia. Using a rubric, the authors explored students' perceptions of the collaborative and…

Brain Science and Teaching: A Forty-Year Personal History

ERIC Educational Resources Information Center

Kirby, Linda Faye

2016-01-01

This paper is the sharing of a record, the personal history of an educator pursuing an interest in knowledge of the brain. Over the years, this fascination sparked the idea to create a course for teachers based on brain science, with a twist. Certain course assignments would require teachers to interpret knowledge of the brain in the context of…

A Distance Learning Review--The Communicational Module "Learning on Demand--Anywhere at Any Time"

ERIC Educational Resources Information Center

Tatkovic, Nevenka; Ruzic, Maja

2004-01-01

The society of knowledge refers to the society marked with the principle which requires that knowledge, information and life-time learning hold a key to success in the world of IT technology. Internet, World Wide Web, Web Based Education and ever so growing speed of IT and communicational technologies have enabled the application of new modes,…

[A development and evaluation of nursing KMS using QFD in outpatient departments].

PubMed

Lee, Han Na; Yun, Eun Kyoung

2014-02-01

This study was done to develop and implement the Nursing KMS (knowledge management system) in order to improve knowledge sharing and creation among clinical nurses in outpatient departments. This study was a methodological research using the 'System Development Life Cycle': consisting of planning, analyzing, design, implementation, and evaluation. Quality Function Deployment (QFD) was applied to establish nurse requirements and to identify important design requirements. Participants were 32 nurses and for evaluation data were collected pre and post intervention at K Hospital in Seoul, a tertiary hospital with over 1,000 beds. The Nursing KMS was built using a Linux-based operating system, Oracle DBMS, and Java 1.6 web programming tools. The system was implemented as a sub-system of the hospital information system. There was statistically significant differences in the sharing of knowledge but creating of knowledge was no statistically meaningful difference observed. In terms of satisfaction with the system, system efficiency ranked first followed by system convenience, information suitability and information usefulness. The results indicate that the use of Nursing KMS increases nurses' knowledge sharing and can contribute to increased quality of nursing knowledge and provide more opportunities for nurses to gain expertise from knowledge shared among nurses.

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.

Applications of Machine Learning and Rule Induction,

DTIC Science & Technology

1995-02-15

An important area of application for machine learning is in automating the acquisition of knowledge bases required for expert systems. In this paper...we review the major paradigms for machine learning , including neural networks, instance-based methods, genetic learning, rule induction, and analytic

The Effectiveness of an Online Curriculum on High School Students' Understanding of Biological Evolution

NASA Astrophysics Data System (ADS)

Marsteller, Robert B.; Bodzin, Alec M.

2015-12-01

An online curriculum about biological evolution was designed to promote increased student content knowledge and evidentiary reasoning. A feasibility study was conducted with 77 rural high school biology students who learned with the online biological evolution unit. Data sources included the Biological Evolution Assessment Measure (BEAM), an analysis of discussion forum posts, and a post-implementation perceptions and attitudes questionnaire. BEAM posttest scores were significantly higher than the pretest scores. However, the findings revealed that the students required additional support to develop evidentiary reasoning. Many students perceived that the Web-based curriculum would have been enhanced by increased immediate interaction and feedback. Students required greater scaffolding to support complex, process-oriented tasks. Implications for designing Web-based science instruction with curriculum materials to support students' acquisition of content knowledge and science process skills in a Web-based setting are discussed.

Probabilistic load simulation: Code development status

NASA Astrophysics Data System (ADS)

Newell, J. F.; Ho, H.

1991-05-01

The objective of the Composite Load Spectra (CLS) project is to develop generic load models to simulate the composite load spectra that are included in space propulsion system components. The probabilistic loads thus generated are part of the probabilistic design analysis (PDA) of a space propulsion system that also includes probabilistic structural analyses, reliability, and risk evaluations. Probabilistic load simulation for space propulsion systems demands sophisticated probabilistic methodology and requires large amounts of load information and engineering data. The CLS approach is to implement a knowledge based system coupled with a probabilistic load simulation module. The knowledge base manages and furnishes load information and expertise and sets up the simulation runs. The load simulation module performs the numerical computation to generate the probabilistic loads with load information supplied from the CLS knowledge base.

Investigating Knowledge Management Status among Faculty Members of Kerman University of Medical Sciences based on the Nonaka Model in 2015

PubMed Central

Vali, Leila; Izadi, Azar; Jahani, Yunes; Okhovati, Maryam

2016-01-01

Introduction Education and research are two major functions of universities, which require proper and systematic exploitation of available knowledge and information. Therefore, it is necessary to investigate the knowledge management status in an education system by considering the function of faculty members in creation and dissemination of knowledge. This study was conducted to investigate the knowledge management status among faculty members of the Kerman University of Medical Sciences based on the Nonaka and Takeuchi models in 2015. Methods This was a descriptive-analytical and cross-sectional study. It was conducted on 165 faculty members at the Kerman University of Medical Sciences, who were selected from seven faculties as weighted using a random stratified sampling method. The Nonaka and Takeuchi knowledge management questionnaire consists of 26 questions in four dimensions of socialization, externalization, internalization, and combination. Scoring of questions was conducted using the five-point Likert scale. To analyze data, independent t-test, one-way ANOVA, Pearson correlation coefficients, and the Kruskal-Wallis test were employed. Results The four dimensions in the Nonaka and Takeuchi model are based on optimal indicators (3.5), dimensions of combination, and externalization with an average of 3.3 were found in higher ranks and internalization and socialization had averages of 3.1 and 3. According to the findings of this study, the average knowledge management among faculty members of the Kerman University of Medical Sciences was estimated to be 3.1, with a bit difference compared to the average. According to the results of t-tests, there was no significant relationship between gender and various dimensions of knowledge management (p>0.05). The findings of Kruskal-Wallis showed that there is no significant relationship between variables of age, academic rank, and type of faculty with regard to dimensions of knowledge management (p>0.05). In addition, according to the results of Pearson tests, there is no significant relation between employment history and dimensions of knowledge management (p>0.05). Conclusion Considering the function and importance of knowledge management in education and research organizations including universities, it is recommended to pay comprehensive attention to establishment of knowledge management and knowledge sharing in universities and provide the required background to from research teams and communication networks inside and outside universities. PMID:27757183

Investigating Knowledge Management Status among Faculty Members of Kerman University of Medical Sciences based on the Nonaka Model in 2015.

PubMed

Vali, Leila; Izadi, Azar; Jahani, Yunes; Okhovati, Maryam

2016-08-01

Education and research are two major functions of universities, which require proper and systematic exploitation of available knowledge and information. Therefore, it is necessary to investigate the knowledge management status in an education system by considering the function of faculty members in creation and dissemination of knowledge. This study was conducted to investigate the knowledge management status among faculty members of the Kerman University of Medical Sciences based on the Nonaka and Takeuchi models in 2015. This was a descriptive-analytical and cross-sectional study. It was conducted on 165 faculty members at the Kerman University of Medical Sciences, who were selected from seven faculties as weighted using a random stratified sampling method. The Nonaka and Takeuchi knowledge management questionnaire consists of 26 questions in four dimensions of socialization, externalization, internalization, and combination. Scoring of questions was conducted using the five-point Likert scale. To analyze data, independent t-test, one-way ANOVA, Pearson correlation coefficients, and the Kruskal-Wallis test were employed. The four dimensions in the Nonaka and Takeuchi model are based on optimal indicators (3.5), dimensions of combination, and externalization with an average of 3.3 were found in higher ranks and internalization and socialization had averages of 3.1 and 3. According to the findings of this study, the average knowledge management among faculty members of the Kerman University of Medical Sciences was estimated to be 3.1, with a bit difference compared to the average. According to the results of t-tests, there was no significant relationship between gender and various dimensions of knowledge management (p>0.05). The findings of Kruskal-Wallis showed that there is no significant relationship between variables of age, academic rank, and type of faculty with regard to dimensions of knowledge management (p>0.05). In addition, according to the results of Pearson tests, there is no significant relation between employment history and dimensions of knowledge management (p>0.05). Considering the function and importance of knowledge management in education and research organizations including universities, it is recommended to pay comprehensive attention to establishment of knowledge management and knowledge sharing in universities and provide the required background to from research teams and communication networks inside and outside universities.

Techniques and potential capabilities of multi-resolutional information (knowledge) processing

NASA Technical Reports Server (NTRS)

Meystel, A.

1989-01-01

A concept of nested hierarchical (multi-resolutional, pyramidal) information (knowledge) processing is introduced for a variety of systems including data and/or knowledge bases, vision, control, and manufacturing systems, industrial automated robots, and (self-programmed) autonomous intelligent machines. A set of practical recommendations is presented using a case study of a multiresolutional object representation. It is demonstrated here that any intelligent module transforms (sometimes, irreversibly) the knowledge it deals with, and this tranformation affects the subsequent computation processes, e.g., those of decision and control. Several types of knowledge transformation are reviewed. Definite conditions are analyzed, satisfaction of which is required for organization and processing of redundant information (knowledge) in the multi-resolutional systems. Providing a definite degree of redundancy is one of these conditions.

Knowledge network model of the energy consumption in discrete manufacturing system

NASA Astrophysics Data System (ADS)

Xu, Binzi; Wang, Yan; Ji, Zhicheng

2017-07-01

Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

13 CFR 315.16 - Adjustment proposal requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... analysis of the Firm's problems, strengths and weaknesses and an assessment of its prospects for recovery... generally consists of knowledge-based services such as market penetration studies, customized business...

Toward Scalable Trustworthy Computing Using the Human-Physiology-Immunity Metaphor

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

Hively, Lee M; Sheldon, Frederick T

The cybersecurity landscape consists of an ad hoc patchwork of solutions. Optimal cybersecurity is difficult for various reasons: complexity, immense data and processing requirements, resource-agnostic cloud computing, practical time-space-energy constraints, inherent flaws in 'Maginot Line' defenses, and the growing number and sophistication of cyberattacks. This article defines the high-priority problems and examines the potential solution space. In that space, achieving scalable trustworthy computing and communications is possible through real-time knowledge-based decisions about cyber trust. This vision is based on the human-physiology-immunity metaphor and the human brain's ability to extract knowledge from data and information. The article outlines future steps towardmore » scalable trustworthy systems requiring a long-term commitment to solve the well-known challenges.« less

Expert system verification and validation study. Phase 2: Requirements Identification. Delivery 2: Current requirements applicability

NASA Technical Reports Server (NTRS)

1991-01-01

The second phase of a task is described which has the ultimate purpose of ensuring that adequate Expert Systems (ESs) Verification and Validation (V and V) tools and techniques are available for Space Station Freedom Program Knowledge Based Systems development. The purpose of this phase is to recommend modifications to current software V and V requirements which will extend the applicability of the requirements to NASA ESs.

EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

PubMed

Zhao, Chao; Jiang, Jingchi; Guan, Yi; Guo, Xitong; He, Bin

2018-05-01

Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS tasks-test recommendation, initial diagnosis, and treatment plan recommendation-given the condition of a patient. We extracted four kinds of medical entities from records and constructed an EMR-based medical knowledge network (EMKN), in which nodes are entities and edges reflect their co-occurrence in a record. Three bipartite subgraphs (bigraphs) were extracted from the EMKN, one to support each task. One part of the bigraph was the given condition (e.g., symptoms), and the other was the condition to be inferred (e.g., diseases). Each bigraph was regarded as a Markov random field (MRF) to support the inference. We proposed three graph-based energy functions and three likelihood-based energy functions. Two of these functions are based on knowledge representation learning and can provide distributed representations of medical entities. Two EMR datasets and three metrics were utilized to evaluate the performance. As a whole, the evaluation results indicate that the proposed system outperformed the baseline methods. The distributed representation of medical entities does reflect similarity relationships with respect to knowledge level. Combining EMKN and MRF is an effective approach for general medical knowledge representation and inference. Different tasks, however, require individually designed energy functions. Copyright © 2018 Elsevier B.V. All rights reserved.

Engaging national organizations for knowledge translation: Comparative case studies in knowledge value mapping

PubMed Central

2011-01-01

Background Government sponsors of research and development, along with their funded investigators, are increasingly tasked with demonstrating evidence of knowledge use by nontraditional audiences. This requires efforts to translate their findings for effective communication. For technology-related knowledge, these audiences include clinicians, consumers, manufacturers, public policy agencies, and knowledge brokers. One potentially efficient approach is to communicate research findings through relevant national organizations. However, this requires an understanding of how such organizations view and treat research knowledge, which can be determined through knowledge-value mapping. Do knowledge values differ between national organizations representing different audiences? Can a deeper understanding of knowledge values help sponsors, investigators, and organizations better communicate research findings to stakeholders? Methods A series of comparative case studies on knowledge-value mapping were derived through interviews with spokespersons for six national organizations. The semi-structured interviews followed a 10-item questionnaire to characterize different ways in which each organization engages with research-based knowledge. Each participating organization represents a particular stakeholder group, while all share a common interest in the research subject matter. Results Each national organization considers the value of the research knowledge in the context of their organization's mission and the interests of their members. All are interested in collaborating with researchers to share relevant findings, while they vary along the following dimensions of knowledge engagement: create, identify, translate, adapt, communicate, use, promote, absorptive capacity, and recommendations for facilitation. Conclusions The principles of knowledge translation suggest that investigators can increase use by tailoring the format and context of their findings to the absorptive capacity of nonscholars. Greater absorption should result in higher levels of knowledge awareness, interest, and use, which can then be documented. National organizations and their members, in turn, can strive to optimize their absorptive capacities regarding the state of the sciences. This combination will ensure the highest possible return on public investment in research activities. This knowledge-value mapping study concludes that national organizations are appropriate channels for communicating research findings and for meeting statutory requirements and general expectations for generating and documenting knowledge use. PMID:21910866

Engaging national organizations for knowledge translation: comparative case studies in knowledge value mapping.

PubMed

Lane, Joseph P; Rogers, Juan D

2011-09-12

Government sponsors of research and development, along with their funded investigators, are increasingly tasked with demonstrating evidence of knowledge use by nontraditional audiences. This requires efforts to translate their findings for effective communication. For technology-related knowledge, these audiences include clinicians, consumers, manufacturers, public policy agencies, and knowledge brokers. One potentially efficient approach is to communicate research findings through relevant national organizations. However, this requires an understanding of how such organizations view and treat research knowledge, which can be determined through knowledge-value mapping. Do knowledge values differ between national organizations representing different audiences? Can a deeper understanding of knowledge values help sponsors, investigators, and organizations better communicate research findings to stakeholders? A series of comparative case studies on knowledge-value mapping were derived through interviews with spokespersons for six national organizations. The semi-structured interviews followed a 10-item questionnaire to characterize different ways in which each organization engages with research-based knowledge. Each participating organization represents a particular stakeholder group, while all share a common interest in the research subject matter. Each national organization considers the value of the research knowledge in the context of their organization's mission and the interests of their members. All are interested in collaborating with researchers to share relevant findings, while they vary along the following dimensions of knowledge engagement: create, identify, translate, adapt, communicate, use, promote, absorptive capacity, and recommendations for facilitation. The principles of knowledge translation suggest that investigators can increase use by tailoring the format and context of their findings to the absorptive capacity of nonscholars. Greater absorption should result in higher levels of knowledge awareness, interest, and use, which can then be documented. National organizations and their members, in turn, can strive to optimize their absorptive capacities regarding the state of the sciences. This combination will ensure the highest possible return on public investment in research activities. This knowledge-value mapping study concludes that national organizations are appropriate channels for communicating research findings and for meeting statutory requirements and general expectations for generating and documenting knowledge use.

Interoperability in Personalized Adaptive Learning

ERIC Educational Resources Information Center

Aroyo, Lora; Dolog, Peter; Houben, Geert-Jan; Kravcik, Milos; Naeve, Ambjorn; Nilsson, Mikael; Wild, Fridolin

2006-01-01

Personalized adaptive learning requires semantic-based and context-aware systems to manage the Web knowledge efficiently as well as to achieve semantic interoperability between heterogeneous information resources and services. The technological and conceptual differences can be bridged either by means of standards or via approaches based on the…

Facilitating Learners' Web-Based Information Problem-Solving by Query Expansion-Based Concept Mapping

ERIC Educational Resources Information Center

Huang, Yueh-Min; Liu, Ming-Chi; Chen, Nian-Shing; Kinshuk; Wen, Dunwei

2014-01-01

Web-based information problem-solving has been recognised as a critical ability for learners. However, the development of students' abilities in this area often faces several challenges, such as difficulty in building well-organised knowledge structures to support complex problems that require higher-order skills (e.g., system thinking). To…

Taking knowledge users' knowledge needs into account in health: an evidence synthesis framework.

PubMed

Wickremasinghe, Deepthi; Kuruvilla, Shyama; Mays, Nicholas; Avan, Bilal Iqbal

2016-05-01

The increased demand for evidence-based practice in health policy in recent years has provoked a parallel increase in diverse evidence-based outputs designed to translate knowledge from researchers to policy makers and practitioners. Such knowledge translation ideally creates user-friendly outputs, tailored to meet information needs in a particular context for a particular audience. Yet matching users' knowledge needs to the most suitable output can be challenging. We have developed an evidence synthesis framework to help knowledge users, brokers, commissioners and producers decide which type of output offers the best 'fit' between 'need' and 'response'. We conducted a four-strand literature search for characteristics and methods of evidence synthesis outputs using databases of peer reviewed literature, specific journals, grey literature and references in relevant documents. Eight experts in synthesis designed to get research into policy and practice were also consulted to hone issues for consideration and ascertain key studies. In all, 24 documents were included in the literature review. From these we identified essential characteristics to consider when planning an output-Readability, Relevance, Rigour and Resources-which we then used to develop a process for matching users' knowledge needs with an appropriate evidence synthesis output. We also identified 10 distinct evidence synthesis outputs, classifying them in the evidence synthesis framework under four domains: key features, utility, technical characteristics and resources, and in relation to six primary audience groups-professionals, practitioners, researchers, academics, advocates and policy makers. Users' knowledge needs vary and meeting them successfully requires collaborative planning. The Framework should facilitate a more systematic assessment of the balance of essential characteristics required to select the best output for the purpose. © The Author 2015. Published by Oxford University Press.

Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond

PubMed Central

Falenski, Alexander; Weiser, Armin A.; Thöns, Christian; Appel, Bernd; Käsbohrer, Annemarie; Filter, Matthias

2015-01-01

In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing the potential effects of a specific contamination event and thus enable them to deduce the appropriate mitigation measures. One efficient strategy supporting this is using model based simulations. However, application in crisis situations requires ready-to-use and easy-to-adapt models to be available from the so-called food safety knowledge bases. Here, we illustrate this concept and its benefits by applying the modular open source software tools PMM-Lab and FoodProcess-Lab. As a fictitious sample scenario, an intentional ricin contamination at a beef salami production facility was modelled. Predictive models describing the inactivation of ricin were reviewed, relevant models were implemented with PMM-Lab, and simulations on residual toxin amounts in the final product were performed with FoodProcess-Lab. Due to the generic and modular modelling concept implemented in these tools, they can be applied to simulate virtually any food safety contamination scenario. Apart from the application in crisis situations, the food safety knowledge base concept will also be useful in food quality and safety investigations. PMID:26247028

Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond.

PubMed

Falenski, Alexander; Weiser, Armin A; Thöns, Christian; Appel, Bernd; Käsbohrer, Annemarie; Filter, Matthias

2015-01-01

In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing the potential effects of a specific contamination event and thus enable them to deduce the appropriate mitigation measures. One efficient strategy supporting this is using model based simulations. However, application in crisis situations requires ready-to-use and easy-to-adapt models to be available from the so-called food safety knowledge bases. Here, we illustrate this concept and its benefits by applying the modular open source software tools PMM-Lab and FoodProcess-Lab. As a fictitious sample scenario, an intentional ricin contamination at a beef salami production facility was modelled. Predictive models describing the inactivation of ricin were reviewed, relevant models were implemented with PMM-Lab, and simulations on residual toxin amounts in the final product were performed with FoodProcess-Lab. Due to the generic and modular modelling concept implemented in these tools, they can be applied to simulate virtually any food safety contamination scenario. Apart from the application in crisis situations, the food safety knowledge base concept will also be useful in food quality and safety investigations.

Development of hybrid lifecycle cost estimating tool (HLCET) for manufacturing influenced design tradeoff

NASA Astrophysics Data System (ADS)

Sirirojvisuth, Apinut

In complex aerospace system design, making an effective design decision requires multidisciplinary knowledge from both product and process perspectives. Integrating manufacturing considerations into the design process is most valuable during the early design stages since designers have more freedom to integrate new ideas when changes are relatively inexpensive in terms of time and effort. Several metrics related to manufacturability are cost, time, and manufacturing readiness level (MRL). Yet, there is a lack of structured methodology that quantifies how changes in the design decisions impact these metrics. As a result, a new set of integrated cost analysis tools are proposed in this study to quantify the impacts. Equally important is the capability to integrate this new cost tool into the existing design methodologies without sacrificing agility and flexibility required during the early design phases. To demonstrate the applicability of this concept, a ModelCenter environment is used to develop software architecture that represents Integrated Product and Process Development (IPPD) methodology used in several aerospace systems designs. The environment seamlessly integrates product and process analysis tools and makes effective transition from one design phase to the other while retaining knowledge gained a priori. Then, an advanced cost estimating tool called Hybrid Lifecycle Cost Estimating Tool (HLCET), a hybrid combination of weight-, process-, and activity-based estimating techniques, is integrated with the design framework. A new weight-based lifecycle cost model is created based on Tailored Cost Model (TCM) equations [3]. This lifecycle cost tool estimates the program cost based on vehicle component weights and programmatic assumptions. Additional high fidelity cost tools like process-based and activity-based cost analysis methods can be used to modify the baseline TCM result as more knowledge is accumulated over design iterations. Therefore, with this concept, the additional manufacturing knowledge can be used to identify a more accurate lifecycle cost and facilitate higher fidelity tradeoffs during conceptual and preliminary design. Advanced Composite Cost Estimating Model (ACCEM) is employed as a process-based cost component to replace the original TCM result of the composite part production cost. The reason for the replacement is that TCM estimates production costs from part weights as a result of subtractive manufacturing of metallic origin such as casting, forging, and machining processes. A complexity factor can sometimes be adjusted to reflect different types of metal and machine settings. The TCM assumption, however, gives erroneous results when applied to additive processes like those of composite manufacturing. Another innovative aspect of this research is the introduction of a work measurement technique called Maynard Operation Sequence Technique (MOST) to be used, similarly to Activity-Based Costing (ABC) approach, to estimate manufacturing time of a part by virtue of breaking down the operations occurred during its production. ABC allows a realistic determination of cost incurred in each activity, as opposed to using a traditional method of time estimation by analogy or using response surface equations from historical process data. The MOST concept provides a tailored study of an individual process typically required for a new, innovative design. Nevertheless, the MOST idea has some challenges, one of which is its requirement to build a new process from ground up. The process development requires a Subject Matter Expertise (SME) in manufacturing method of the particular design. The SME must have also a comprehensive understanding of the MOST system so that the correct parameters are chosen. In practice, these knowledge requirements may demand people from outside of the design discipline and a priori training of MOST. To relieve the constraint, this study includes an entirely new sub-system architecture that comprises 1) a knowledge-based system to provide the required knowledge during the process selection; and 2) a new user-interface to guide the parameter selection when building the process using MOST. Also included in this study is the demonstration of how the HLCET and its constituents can be integrated with a Georgia Tech' Integrated Product and Process Development (IPPD) methodology. The applicability of this work will be shown through a complex aerospace design example to gain insights into how manufacturing knowledge helps make better design decisions during the early stages. The setup process is explained with an example of its utility demonstrated in a hypothetical fighter aircraft wing redesign. The evaluation of the system effectiveness against existing methodologies is illustrated to conclude the thesis.

The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside

PubMed Central

2011-01-01

Background Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery. Results We developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action. Conclusions This work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine. Availability TMO can be downloaded from http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql. PMID:21624155

Fuzzy logic techniques for rendezvous and docking of two geostationary satellites

NASA Technical Reports Server (NTRS)

Ortega, Guillermo

1995-01-01

Large assemblings in space require the ability to manage rendezvous and docking operations. In future these techniques will be required for the gradual build up of big telecommunication platforms in the geostationary orbit. The paper discusses the use of fuzzy logic to model and implement a control system for the docking/berthing of two satellites in geostationary orbit. The system mounted in a chaser vehicle determines the actual state of both satellites and generates torques to execute maneuvers to establish the structural latching. The paper describes the proximity operations to collocate the two satellites in the same orbital window, the fuzzy guidance and navigation of the chaser approaching the target and the final Fuzzy berthing. The fuzzy logic system represents a knowledge based controller that realizes the close loop operations autonomously replacing the conventional control algorithms. The goal is to produce smooth control actions in the proximity of the target and during the docking to avoid disturbance torques in the final assembly orbit. The knowledge of the fuzzy controller consists of a data base of rules and the definitions of the fuzzy sets. The knowledge of an experienced spacecraft controller is captured into a set of rules forming the Rules Data Base.

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

PubMed Central

Mack, Michael L.; Love, Bradley C.; Preston, Alison R.

2016-01-01

Concepts organize the relationship among individual stimuli or events by highlighting shared features. Often, new goals require updating conceptual knowledge to reflect relationships based on different goal-relevant features. Here, our aim is to determine how hippocampal (HPC) object representations are organized and updated to reflect changing conceptual knowledge. Participants learned two classification tasks in which successful learning required attention to different stimulus features, thus providing a means to index how representations of individual stimuli are reorganized according to changing task goals. We used a computational learning model to capture how people attended to goal-relevant features and organized object representations based on those features during learning. Using representational similarity analyses of functional magnetic resonance imaging data, we demonstrate that neural representations in left anterior HPC correspond with model predictions of concept organization. Moreover, we show that during early learning, when concept updating is most consequential, HPC is functionally coupled with prefrontal regions. Based on these findings, we propose that when task goals change, object representations in HPC can be organized in new ways, resulting in updated concepts that highlight the features most critical to the new goal. PMID:27803320

Mentor-mentee Relationship: A Win-Win Contract In Graduate Medical Education

PubMed Central

Fuller, Jacklyn C

2017-01-01

Scholarly activities (i.e., the discovery of new knowledge; development of new technologies, methods, materials, or uses; integration of knowledge leading to new understanding) are intended to measure the quality and quantity of dissemination of knowledge. A successful mentorship program is necessary during residency to help residents achieve the six core competencies (patient care, medical knowledge, practice-based learning and improvement, systems-based practice, professionalism, interpersonal and communication skills) required by the Accreditation Council for Graduate Medical Education (ACGME). The role of the mentor in this process is pivotal in the advancement of the residents’ knowledge about evidence-based medicine. With this process, while mentees become more self-regulated, exhibit confidence in their performance, and demonstrate more insight and aptitude in their jobs, mentors also achieve elevated higher self-esteem, enhanced leadership skills, and personal gratification. As such, we may conclude that mentoring is a two-sided relationship; i.e., a 'win-win' style of commitment between the mentor and mentee. Hence, both parties will eventually advance academically, as well as professionally. PMID:29435394

Towards an Age-Phenome Knowledge-base

PubMed Central

2011-01-01

Background Currently, data about age-phenotype associations are not systematically organized and cannot be studied methodically. Searching for scientific articles describing phenotypic changes reported as occurring at a given age is not possible for most ages. Results Here we present the Age-Phenome Knowledge-base (APK), in which knowledge about age-related phenotypic patterns and events can be modeled and stored for retrieval. The APK contains evidence connecting specific ages or age groups with phenotypes, such as disease and clinical traits. Using a simple text mining tool developed for this purpose, we extracted instances of age-phenotype associations from journal abstracts related to non-insulin-dependent Diabetes Mellitus. In addition, links between age and phenotype were extracted from clinical data obtained from the NHANES III survey. The knowledge stored in the APK is made available for the relevant research community in the form of 'Age-Cards', each card holds the collection of all the information stored in the APK about a particular age. These Age-Cards are presented in a wiki, allowing community review, amendment and contribution of additional information. In addition to the wiki interaction, complex searches can also be conducted which require the user to have some knowledge of database query construction. Conclusions The combination of a knowledge model based repository with community participation in the evolution and refinement of the knowledge-base makes the APK a useful and valuable environment for collecting and curating existing knowledge of the connections between age and phenotypes. PMID:21651792

Prediction of Slot Shape and Slot Size for Improving the Performance of Microstrip Antennas Using Knowledge-Based Neural Networks.

PubMed

Khan, Taimoor; De, Asok

2014-01-01

In the last decade, artificial neural networks have become very popular techniques for computing different performance parameters of microstrip antennas. The proposed work illustrates a knowledge-based neural networks model for predicting the appropriate shape and accurate size of the slot introduced on the radiating patch for achieving desired level of resonance, gain, directivity, antenna efficiency, and radiation efficiency for dual-frequency operation. By incorporating prior knowledge in neural model, the number of required training patterns is drastically reduced. Further, the neural model incorporated with prior knowledge can be used for predicting response in extrapolation region beyond the training patterns region. For validation, a prototype is also fabricated and its performance parameters are measured. A very good agreement is attained between measured, simulated, and predicted results.

Prediction of Slot Shape and Slot Size for Improving the Performance of Microstrip Antennas Using Knowledge-Based Neural Networks

PubMed Central

De, Asok

2014-01-01

In the last decade, artificial neural networks have become very popular techniques for computing different performance parameters of microstrip antennas. The proposed work illustrates a knowledge-based neural networks model for predicting the appropriate shape and accurate size of the slot introduced on the radiating patch for achieving desired level of resonance, gain, directivity, antenna efficiency, and radiation efficiency for dual-frequency operation. By incorporating prior knowledge in neural model, the number of required training patterns is drastically reduced. Further, the neural model incorporated with prior knowledge can be used for predicting response in extrapolation region beyond the training patterns region. For validation, a prototype is also fabricated and its performance parameters are measured. A very good agreement is attained between measured, simulated, and predicted results. PMID:27382616

Introduction to Satellite Communications Technology for NREN

NASA Technical Reports Server (NTRS)

Stone, Thom

2004-01-01

NREN requirements for development of seamless nomadic networks necessitates that NREN staff have a working knowledge of basic satellite technology. This paper addresses the components required for a satellite-based communications system, applications, technology trends, orbits, and spectrum, and hopefully will afford the reader an end-to-end picture of this important technology.

Sticky knowledge: A possible model for investigating implementation in healthcare contexts

PubMed Central

Elwyn, Glyn; Taubert, Mark; Kowalczuk, Jenny

2007-01-01

Background In health care, a well recognized gap exists between what we know should be done based on accumulated evidence and what we actually do in practice. A body of empirical literature shows organizations, like individuals, are difficult to change. In the business literature, knowledge management and transfer has become an established area of theory and practice, whilst in healthcare it is only starting to establish a firm footing. Knowledge has become a business resource, and knowledge management theorists and practitioners have examined how knowledge moves in organisations, how it is shared, and how the return on knowledge capital can be maximised to create competitive advantage. New models are being considered, and we wanted to explore the applicability of one of these conceptual models to the implementation of evidence-based practice in healthcare systems. Methods The application of a conceptual model called sticky knowledge, based on an integration of communication theory and knowledge transfer milestones, into a scenario of attempting knowledge transfer in primary care. Results We describe Szulanski's model, the empirical work he conducted, and illustrate its potential applicability with a hypothetical healthcare example based on improving palliative care services. We follow a doctor through two different posts and analyse aspects of knowledge transfer in different primary care settings. The factors included in the sticky knowledge model include: causal ambiguity, unproven knowledge, motivation of source, credibility of source, recipient motivation, recipient absorptive capacity, recipient retentive capacity, barren organisational context, and arduous relationship between source and recipient. We found that we could apply all these factors to the difficulty of implementing new knowledge into practice in primary care settings. Discussion Szulanski argues that knowledge factors play a greater role in the success or failure of a knowledge transfer than has been suspected, and we consider that this conjecture requires further empirical work in healthcare settings. PMID:18096040

Applying an innovative educational program for the education of today's engineers

NASA Astrophysics Data System (ADS)

Kans, M.

2012-05-01

Engineers require a broad spectrum of knowledge and skills: basic skills in mathematics and physics, skills and competencies within the major subject area as well as more general knowledge about business and enterprise contexts, society regulations and understanding of the future professions' characteristics. In addition, social, intercultural, analytical and managing competencies are desired. The CDIO educational program was initiated as a means to come closer to practice and to assure the training of engineering skills that are required of today's engineers. CDIO is short for Conceive-Design-Implement-Operate and describes the full life cycle understanding of a system or asset that engineering students should reach during education. The CDIO initiative is formulated in a program consisting of two important documents: the CDIO standards and the CDIO syllabus. The standards describe a holistic approach on education, from knowledge and skills to be trained, how to train and assess them, to how to develop the teaching staff and the work places for enabling the goals. The specific knowledge and skills to be achieved are accounted for in the syllabus. In this paper we share our more than 15 years of experiences in problem and project based learning from the perspective of the CDIO standards. For each standard, examples of how to set up the education and overcome challenges connected to the standard are given. The paper concludes with recommendations to others wishing to work toward problem and real-life based education without compromising the requirements of a scientific approach.

Quality assurance paradigms for artificial intelligence in modelling and simulation

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

Oren, T.I.

1987-04-01

New classes of quality assurance concepts and techniques are required for the advanced knowledge-processing paradigms (such as artificial intelligence, expert systems, or knowledge-based systems) and the complex problems that only simulative systems can cope with. A systematization of quality assurance problems as well as examples are given to traditional and cognizant quality assurance techniques in traditional and cognizant modelling and simulation.

"Careful, Now You Are Both the Learner and the Teacher!": Student Teachers' Evaluation of Inquiry-Based Peer Lecturing as a Tool in Teacher Training

ERIC Educational Resources Information Center

Seroussi, Dominique-Esther; Yaffe, Yossi; Sharon, Rakefet

2017-01-01

Linking between pedagogical content knowledge and high-level subject-matter knowledge in science teacher training remains a challenge. This paper analyses the reaction of beginning student teachers to an activity designed for this purpose, "peer lecturing." This activity was a part of the requirements of an introductory zoology course,…

Image Understanding Research

DTIC Science & Technology

1983-10-19

knowledge -based symbolic reasoning, it nonetheless remains de- pendent on the lower levels of iconic processing for its raw information . Both sorts of...priori knowledge of where any particular line might go, and therefore no information regarding the extent of memory access required for the local...IC FILE COPY ,. c 4/t/7 ISG Report 104 IMAGE UNDERSTANDING RESEARCH Final Technical Report Covering Research Activity During the Period October 1

Knowledge Based Consultation for Finite Element Structural Analysis.

DTIC Science & Technology

1980-05-01

Intelligence Finite Element Program Tutorial 20 ABSTRACT (Continue. on rees side If necessary and ide.n’ty b,’ bit,, k nionh.) In recent years, techniques of...involved in Artificial Intelligence at Stanford University developed the program MYCIN F2], for clinical consultation of diseases that require...and Rules The basic backward chaining logic, characteristic to Artificial Intelligence . approaching 1he problem of knowledge representation was

Venous Access Devices: Clinical Rounds

PubMed Central

Matey, Laurl; Camp-Sorrell, Dawn

2016-01-01

Nursing management of venous access devices (VADs) requires knowledge of current evidence, as well as knowledge of when evidence is limited. Do you know which practices we do based on evidence and those that we do based on institutional history or preference? This article will present complex VAD infection and occlusion complications and some of the controversies associated with them. Important strategies for identifying these complications, troubleshooting, and evaluating the evidence related to lack of blood return, malposition, infection, access and maintenance protocols, and scope of practice issues are presented. PMID:28083553

A task-based support architecture for developing point-of-care clinical decision support systems for the emergency department.

PubMed

Wilk, S; Michalowski, W; O'Sullivan, D; Farion, K; Sayyad-Shirabad, J; Kuziemsky, C; Kukawka, B

2013-01-01

The purpose of this study was to create a task-based support architecture for developing clinical decision support systems (CDSSs) that assist physicians in making decisions at the point-of-care in the emergency department (ED). The backbone of the proposed architecture was established by a task-based emergency workflow model for a patient-physician encounter. The architecture was designed according to an agent-oriented paradigm. Specifically, we used the O-MaSE (Organization-based Multi-agent System Engineering) method that allows for iterative translation of functional requirements into architectural components (e.g., agents). The agent-oriented paradigm was extended with ontology-driven design to implement ontological models representing knowledge required by specific agents to operate. The task-based architecture allows for the creation of a CDSS that is aligned with the task-based emergency workflow model. It facilitates decoupling of executable components (agents) from embedded domain knowledge (ontological models), thus supporting their interoperability, sharing, and reuse. The generic architecture was implemented as a pilot system, MET3-AE--a CDSS to help with the management of pediatric asthma exacerbation in the ED. The system was evaluated in a hospital ED. The architecture allows for the creation of a CDSS that integrates support for all tasks from the task-based emergency workflow model, and interacts with hospital information systems. Proposed architecture also allows for reusing and sharing system components and knowledge across disease-specific CDSSs.

Translational systems biology using an agent-based approach for dynamic knowledge representation: An evolutionary paradigm for biomedical research.

PubMed

An, Gary C

2010-01-01

The greatest challenge facing the biomedical research community is the effective translation of basic mechanistic knowledge into clinically effective therapeutics. This challenge is most evident in attempts to understand and modulate "systems" processes/disorders, such as sepsis, cancer, and wound healing. Formulating an investigatory strategy for these issues requires the recognition that these are dynamic processes. Representation of the dynamic behavior of biological systems can aid in the investigation of complex pathophysiological processes by augmenting existing discovery procedures by integrating disparate information sources and knowledge. This approach is termed Translational Systems Biology. Focusing on the development of computational models capturing the behavior of mechanistic hypotheses provides a tool that bridges gaps in the understanding of a disease process by visualizing "thought experiments" to fill those gaps. Agent-based modeling is a computational method particularly well suited to the translation of mechanistic knowledge into a computational framework. Utilizing agent-based models as a means of dynamic hypothesis representation will be a vital means of describing, communicating, and integrating community-wide knowledge. The transparent representation of hypotheses in this dynamic fashion can form the basis of "knowledge ecologies," where selection between competing hypotheses will apply an evolutionary paradigm to the development of community knowledge.

Incorporating personalized gene sequence variants, molecular genetics knowledge, and health knowledge into an EHR prototype based on the Continuity of Care Record standard.

PubMed

Jing, Xia; Kay, Stephen; Marley, Thomas; Hardiker, Nicholas R; Cimino, James J

2012-02-01

The current volume and complexity of genetic tests, and the molecular genetics knowledge and health knowledge related to interpretation of the results of those tests, are rapidly outstripping the ability of individual clinicians to recall, understand and convey to their patients information relevant to their care. The tailoring of molecular genetics knowledge and health knowledge in clinical settings is important both for the provision of personalized medicine and to reduce clinician information overload. In this paper we describe the incorporation, customization and demonstration of molecular genetic data (mainly sequence variants), molecular genetics knowledge and health knowledge into a standards-based electronic health record (EHR) prototype developed specifically for this study. We extended the CCR (Continuity of Care Record), an existing EHR standard for representing clinical data, to include molecular genetic data. An EHR prototype was built based on the extended CCR and designed to display relevant molecular genetics knowledge and health knowledge from an existing knowledge base for cystic fibrosis (OntoKBCF). We reconstructed test records from published case reports and represented them in the CCR schema. We then used the EHR to dynamically filter molecular genetics knowledge and health knowledge from OntoKBCF using molecular genetic data and clinical data from the test cases. The molecular genetic data were successfully incorporated in the CCR by creating a category of laboratory results called "Molecular Genetics" and specifying a particular class of test ("Gene Mutation Test") in this category. Unlike other laboratory tests reported in the CCR, results of tests in this class required additional attributes ("Molecular Structure" and "Molecular Position") to support interpretation by clinicians. These results, along with clinical data (age, sex, ethnicity, diagnostic procedures, and therapies) were used by the EHR to filter and present molecular genetics knowledge and health knowledge from OntoKBCF. This research shows a feasible model for delivering patient sequence variants and presenting tailored molecular genetics knowledge and health knowledge via a standards-based EHR system prototype. EHR standards can be extended to include the necessary patient data (as we have demonstrated in the case of the CCR), while knowledge can be obtained from external knowledge bases that are created and maintained independently from the EHR. This approach can form the basis for a personalized medicine framework, a more comprehensive standards-based EHR system and a potential platform for advancing translational research by both disseminating results and providing opportunities for new insights into phenotype-genotype relationships. Copyright © 2011 Elsevier Inc. All rights reserved.

Profiles of inconsistent knowledge in children's pathways of conceptual change.

PubMed

Schneider, Michael; Hardy, Ilonca

2013-09-01

Conceptual change requires learners to restructure parts of their conceptual knowledge base. Prior research has identified the fragmentation and the integration of knowledge as 2 important component processes of knowledge restructuring but remains unclear as to their relative importance and the time of their occurrence during development. Previous studies mostly were based on the categorization of answers in interview studies and led to mixed empirical results, suggesting that methodological improvements might be helpful. We assessed 161 third-graders' knowledge about floating and sinking of objects in liquids at 3 measurement points by means of multiple-choice tests. The tests assessed how strongly the children agreed with commonly found but mutually incompatible statements about floating and sinking. A latent profile transition analysis of the test scores revealed 5 profiles, some of which indicated the coexistence of inconsistent pieces of knowledge in learners. The majority of students (63%) were on 1 of 7 developmental pathways between these profiles. Thus, a child's knowledge profile at a point in time can be used to predict further development. The degree of knowledge integration decreased on some individual developmental paths, increased on others, and remained stable on still others. The study demonstrates the usefulness of explicit quantitative models of conceptual change. The results support a constructivist perspective on conceptual development, in which developmental changes of a learner's knowledge base result from idiosyncratic, yet systematic knowledge-construction processes. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Cognitive task analysis-based design and authoring software for simulation training.

PubMed

Munro, Allen; Clark, Richard E

2013-10-01

The development of more effective medical simulators requires a collaborative team effort where three kinds of expertise are carefully coordinated: (1) exceptional medical expertise focused on providing complete and accurate information about the medical challenges (i.e., critical skills and knowledge) to be simulated; (2) instructional expertise focused on the design of simulation-based training and assessment methods that produce maximum learning and transfer to patient care; and (3) software development expertise that permits the efficient design and development of the software required to capture expertise, present it in an engaging way, and assess student interactions with the simulator. In this discussion, we describe a method of capturing more complete and accurate medical information for simulators and combine it with new instructional design strategies that emphasize the learning of complex knowledge. Finally, we describe three different types of software support (Development/Authoring, Run Time, and Post Run Time) required at different stages in the development of medical simulations and the instructional design elements of the software required at each stage. We describe the contributions expected of each kind of software and the different instructional control authoring support required. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

A Knowledge-Modeling Approach to Integrate Multiple Clinical Practice Guidelines to Provide Evidence-Based Clinical Decision Support for Managing Comorbid Conditions.

PubMed

Abidi, Samina

2017-10-26

Clinical management of comorbidities is a challenge, especially in a clinical decision support setting, as it requires the safe and efficient reconciliation of multiple disease-specific clinical procedures to formulate a comorbid therapeutic plan that is both effective and safe for the patient. In this paper we pursue the integration of multiple disease-specific Clinical Practice Guidelines (CPG) in order to manage co-morbidities within a computerized Clinical Decision Support System (CDSS). We present a CPG integration framework-termed as COMET (Comorbidity Ontological Modeling & ExecuTion) that manifests a knowledge management approach to model, computerize and integrate multiple CPG to yield a comorbid CPG knowledge model that upon execution can provide evidence-based recommendations for handling comorbid patients. COMET exploits semantic web technologies to achieve (a) CPG knowledge synthesis to translate a paper-based CPG to disease-specific clinical pathways (CP) that include specialized co-morbidity management procedures based on input from domain experts; (b) CPG knowledge modeling to computerize the disease-specific CP using a Comorbidity CPG ontology; (c) CPG knowledge integration by aligning multiple ontologically-modeled CP to develop a unified comorbid CPG knowledge model; and (e) CPG knowledge execution using reasoning engines to derive CPG-mediated recommendations for managing patients with comorbidities. We present a web-accessible COMET CDSS that provides family physicians with CPG-mediated comorbidity decision support to manage Atrial Fibrillation and Chronic Heart Failure. We present our qualitative and quantitative analysis of the knowledge content and usability of COMET CDSS.

Multi-model-based interactive authoring environment for creating shareable medical knowledge.

PubMed

Ali, Taqdir; Hussain, Maqbool; Ali Khan, Wajahat; Afzal, Muhammad; Hussain, Jamil; Ali, Rahman; Hassan, Waseem; Jamshed, Arif; Kang, Byeong Ho; Lee, Sungyoung

2017-10-01

Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward smart environments, they lack support for abstraction of technology-oriented knowledge from physicians. Therefore, abstraction in the form of a user-friendly and flexible authoring environment is required in order for physicians to create shareable and interoperable knowledge for CDSS workflows. Our proposed system provides a user-friendly authoring environment to create Arden Syntax MLM (Medical Logic Module) as shareable knowledge rules for intelligent decision-making by CDSS. Existing systems are not physician friendly and lack interoperability and shareability of knowledge. In this paper, we proposed Intelligent-Knowledge Authoring Tool (I-KAT), a knowledge authoring environment that overcomes the above mentioned limitations. Shareability is achieved by creating a knowledge base from MLMs using Arden Syntax. Interoperability is enhanced using standard data models and terminologies. However, creation of shareable and interoperable knowledge using Arden Syntax without abstraction increases complexity, which ultimately makes it difficult for physicians to use the authoring environment. Therefore, physician friendliness is provided by abstraction at the application layer to reduce complexity. This abstraction is regulated by mappings created between legacy system concepts, which are modeled as domain clinical model (DCM) and decision support standards such as virtual medical record (vMR) and Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT). We represent these mappings with a semantic reconciliation model (SRM). The objective of the study is the creation of shareable and interoperable knowledge using a user-friendly and flexible I-KAT. Therefore we evaluated our system using completeness and user satisfaction criteria, which we assessed through the system- and user-centric evaluation processes. For system-centric evaluation, we compared the implementation of clinical information modelling system requirements in our proposed system and in existing systems. The results suggested that 82.05% of the requirements were fully supported, 7.69% were partially supported, and 10.25% were not supported by our system. In the existing systems, 35.89% of requirements were fully supported, 28.20% were partially supported, and 35.89% were not supported. For user-centric evaluation, the assessment criterion was 'ease of use'. Our proposed system showed 15 times better results with respect to MLM creation time than the existing systems. Moreover, on average, the participants made only one error in MLM creation using our proposed system, but 13 errors per MLM using the existing systems. We provide a user-friendly authoring environment for creation of shareable and interoperable knowledge for CDSS to overcome knowledge acquisition complexity. The authoring environment uses state-of-the-art decision support-related clinical standards with increased ease of use. Copyright © 2017 Elsevier B.V. All rights reserved.

Factors influencing analysis of complex cognitive tasks: a framework and example from industrial process control.

PubMed

Prietula, M J; Feltovich, P J; Marchak, F

2000-01-01

We propose that considering four categories of task factors can facilitate knowledge elicitation efforts in the analysis of complex cognitive tasks: materials, strategies, knowledge characteristics, and goals. A study was conducted to examine the effects of altering aspects of two of these task categories on problem-solving behavior across skill levels: materials and goals. Two versions of an applied engineering problem were presented to expert, intermediate, and novice participants. Participants were to minimize the cost of running a steam generation facility by adjusting steam generation levels and flows. One version was cast in the form of a dynamic, computer-based simulation that provided immediate feedback on flows, costs, and constraint violations, thus incorporating key variable dynamics of the problem context. The other version was cast as a static computer-based model, with no dynamic components, cost feedback, or constraint checking. Experts performed better than the other groups across material conditions, and, when required, the presentation of the goal assisted the experts more than the other groups. The static group generated richer protocols than the dynamic group, but the dynamic group solved the problem in significantly less time. Little effect of feedback was found for intermediates, and none for novices. We conclude that demonstrating differences in performance in this task requires different materials than explicating underlying knowledge that leads to performance. We also conclude that substantial knowledge is required to exploit the information yielded by the dynamic form of the task or the explicit solution goal. This simple model can help to identify the contextual factors that influence elicitation and specification of knowledge, which is essential in the engineering of joint cognitive systems.

Evaluation of Computer-Based Training for Health Workers in Echocardiography for RHD.

PubMed

Engelman, Daniel; Okello, Emmy; Beaton, Andrea; Selnow, Gary; Remenyi, Bo; Watson, Caroline; Longenecker, Chris T; Sable, Craig; Steer, Andrew C

2017-03-01

The implementation of screening for rheumatic heart disease at a population-scale would require a considerable increase in human resources. Training nonexpert staff in echocardiography requires appropriate methods and materials. This pre/post study aims to measure the change in the knowledge and confidence of a group of health workers after a computer-assisted training intervention in basic echocardiography for rheumatic heart disease. A syllabus of self-guided, computer-based modules to train nonexpert health workers in basic echocardiography for rheumatic heart disease was developed. Thirty-eight health workers from Uganda participated in the training. Using a pre/post design, identical test instruments were administered before and after the training intervention, assessing the knowledge (using multiple-choice questions) and confidence (using Likert scale questions) in clinical science and echocardiography. The mean total score on knowledge tests rose from 44.8% to 85.4% (mean difference: 40.6%, 95% confidence interval [CI]: 35.4% to 45.8%), with strong evidence for an increase in scores across all knowledge theme areas (p < 0.001). Increased confidence with each key aspect was reported, and there was strong evidence for an increase in the mean score for confidence scales in clinical science (difference: 7.1, 95% CI: 6.2 to 8.0; p < 0.001) and echocardiography (difference: 18.3, 95% CI: 16.6 to 20.0; p < 0.001). The training program was effective at increasing knowledge and confidence for basic echocardiography in nonexpert health workers. Use of computer-assisted learning may reduce the human resource requirements for training staff in echocardiography. Copyright © 2016 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.

40 CFR 63.1258 - Monitoring Requirements.

Code of Federal Regulations, 2011 CFR

2011-07-01

... new operating scenario is implemented based on process knowledge and representative operating data... specified for control scenarios in Table 4 of this subpart and in paragraphs (b)(1)(ii) through (xi) of this.... The minimum scrubber flowrate or pressure drop shall be based on the conditions anticipated under...

Practice innovation: the need for nimble data platforms to implement precision oncology care.

PubMed

Elfiky, Aymen; Zhang, Dongyang; Krishnan Nair, Hari K

2015-01-01

Given the drive toward personalized, value-based, and coordinated cancer care delivery, modern knowledge-based practice is being shaped within the context of an increasingly technology-driven healthcare landscape. The ultimate promise of 'precision medicine' is predicated on taking advantage of the range of new capabilities for integrating disease- and individual-specific data to define new taxonomies as part of a systems-based knowledge network. Specifically, with cancer being a constantly evolving complex disease process, proper care of an individual will require the ability to seamlessly integrate multi-dimensional 'omic' and clinical data. Importantly, however, the challenges of curating knowledge from multiple dynamic data sources and translating to practice at the point-of-care highlight parallel needs. As patients, caregivers, and their environments become more proactive in clinical care and management, practical success of precision medicine is equally dependent on the development of proper infrastructures for evolving data integration, platforms for knowledge representation in a clinically-relevant context, and implementation within a provider's work-life and workflow.

Engaging Clinical Nurses in Quality Improvement Projects.

PubMed

Moore, Susan; Stichler, Jaynelle F

2015-10-01

Clinical nurses have the knowledge and expertise required to provide efficient and proficient patient care. Time and knowledge deficits can prevent nurses from developing and implementing quality improvement or evidence-based practice projects. This article reviews a process for professional development of clinical nurses that helped them to define, implement, and analyze quality improvement or evidence-based practice projects. The purpose of this project was to educate advanced clinical nurses to manage a change project from inception to completion, using the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) Change Acceleration Process as a framework. One-to-one mentoring and didactic in-services advanced the knowledge, appreciation, and practice of advanced practice clinicians who completed multiple change projects. The projects facilitated clinical practice changes, with improved patient outcomes; a unit cultural shift, with appreciation of quality improvement and evidence-based projects; and engagement with colleagues. Project outcomes were displayed in poster presentations at a hospital exposition for knowledge dissemination. Copyright 2015, SLACK Incorporated.

An assessment of the HIV/TB knowledge and skills of home-based carers working in the North West province in South Africa: a cross-sectional study.

PubMed

Engelbrecht, Justin G; Letsoalo, Mabjala R; Chirowodza, Admire C

2017-04-19

Home-based carers (HBCs) play a critical role in ensuring the success of the primary health care re-engineering strategy in South Africa. Their role includes ensuring improved access to and delivery of primary health care at the household level, and better co-ordination and improved linkages between community and health facilities for HIV/TB services. The objective of this study was to assess the knowledge, skills, challenges and training needs of HBCs involved in HIV/TB care in one sub-district in the North-West province of South Africa. We conducted a descriptive, cross-sectional study in which 157 HBCs were interviewed to assess their knowledge and skills regarding HIV and TB. Data were collected using a pre-tested semi-structured questionnaire. Quantitative and qualitative data were analysed using SPSS statistical software and thematic analysis respectively. One hundred and forty-four (92%) of the interviewees were female and 13 (8%) were male. The median age of the participants was 35 years (interquartile range (IQR): 22-27). The median score for knowledge of both HIV and TB questions was 66% (IQR: 57-75). In general, HIV knowledge scores were higher than TB knowledge scores (73% versus 66%). A significant association was found between knowledge scores and formal training (p < 0.05), and knowledge scores and highest educational levels (p < 0.05). Irrespective of knowledge, HBCs reported providing a variety of services to support HIV/TB services in the communities in which they worked. HBCs also reported facing various challenges in their jobs related to stigma and the social contexts in which they work. The study showed that the overall knowledge of HBCs was limited, given the skills required and the services they provide. Given the increasing role of HBCs in various health initiatives, targeted interventions are required to support and improve their competencies and service provision.

A Review on Community-Based Knowledge Transfer and Exchange (KTE) Initiatives for Promoting Well-Being in Older Adults.

PubMed

Syed, M Anum; Moorhouse, Aynsley; McDonald, Lynn; Hitzig, Sander L

2017-01-01

Knowledge transfer and exchange (KTE) processes can facilitate evidence-informed community-based care for seniors, but understanding effective KTE in gerontology is limited. A scoping review was conducted to evaluate the current state of KTE in the community-based sector for seniors. Twelve articles met the inclusion criteria, which addressed a broad variety of topics including caregiving, elder abuse, falls prevention, home-rehabilitation, hospice and dementia care. Studies evaluated KTE practices (n = 8), developed a KTE intervention (n = 3), or explored research uptake (n = 1). Community-based initiatives for seniors informed by KTE processes are scarce, requiring further efforts at the research, practice and policy levels.

Wearable real-time and adaptive feedback device to face the stuttering: a knowledge-based telehealthcare proposal.

PubMed

Prado, Manuel; Roa, Laura M

2007-01-01

Despite first written references to permanent developmental stuttering occurred more than 2500 years ago, the mechanisms underlying this disorder are still unknown. This paper briefly reviews stuttering causal hypothesis and treatments, and presents the requirements that a new stuttering therapeutic device should verify. As a result of the analysis, an adaptive altered auditory feedback device based on a multimodal intelligent monitor, within the framework of a knowledge-based telehealthcare system, is presented. The subsequent discussion, based partly on the successful outcomes of a similar intelligent monitor, suggests that this novel device is feasible and could help to fill the gap between research and clinic.

Knowledge based systems for intelligent robotics

NASA Technical Reports Server (NTRS)

Rajaram, N. S.

1982-01-01

It is pointed out that the construction of large space platforms, such as space stations, has to be carried out in the outer space environment. As it is extremely expensive to support human workers in space for large periods, the only feasible solution appears to be related to the development and deployment of highly capable robots for most of the tasks. Robots for space applications will have to possess characteristics which are very different from those needed by robots in industry. The present investigation is concerned with the needs of space robotics and the technologies which can be of assistance to meet these needs, giving particular attention to knowledge bases. 'Intelligent' robots are required for the solution of arising problems. The collection of facts and rules needed for accomplishing such solutions form the 'knowledge base' of the system.

Data to knowledge: how to get meaning from your result

PubMed Central

Berman, Helen M.; Gabanyi, Margaret J.; Groom, Colin R.; Johnson, John E.; Murshudov, Garib N.; Nicholls, Robert A.; Reddy, Vijay; Schwede, Torsten; Zimmerman, Matthew D.; Westbrook, John; Minor, Wladek

2015-01-01

Structural and functional studies require the development of sophisticated ‘Big Data’ technologies and software to increase the knowledge derived and ensure reproducibility of the data. This paper presents summaries of the Structural Biology Knowledge Base, the VIPERdb Virus Structure Database, evaluation of homology modeling by the Protein Model Portal, the ProSMART tool for conformation-independent structure comparison, the LabDB ‘super’ laboratory information management system and the Cambridge Structural Database. These techniques and technologies represent important tools for the transformation of crystallographic data into knowledge and information, in an effort to address the problem of non-reproducibility of experimental results. PMID:25610627

Software support environment design knowledge capture

NASA Technical Reports Server (NTRS)

Dollman, Tom

1990-01-01

The objective of this task is to assess the potential for using the software support environment (SSE) workstations and associated software for design knowledge capture (DKC) tasks. This assessment will include the identification of required capabilities for DKC and hardware/software modifications needed to support DKC. Several approaches to achieving this objective are discussed and interim results are provided: (1) research into the problem of knowledge engineering in a traditional computer-aided software engineering (CASE) environment, like the SSE; (2) research into the problem of applying SSE CASE tools to develop knowledge based systems; and (3) direct utilization of SSE workstations to support a DKC activity.

Accessing and integrating data and knowledge for biomedical research.

PubMed

Burgun, A; Bodenreider, O

2008-01-01

To review the issues that have arisen with the advent of translational research in terms of integration of data and knowledge, and survey current efforts to address these issues. Using examples form the biomedical literature, we identified new trends in biomedical research and their impact on bioinformatics. We analyzed the requirements for effective knowledge repositories and studied issues in the integration of biomedical knowledge. New diagnostic and therapeutic approaches based on gene expression patterns have brought about new issues in the statistical analysis of data, and new workflows are needed are needed to support translational research. Interoperable data repositories based on standard annotations, infrastructures and services are needed to support the pooling and meta-analysis of data, as well as their comparison to earlier experiments. High-quality, integrated ontologies and knowledge bases serve as a source of prior knowledge used in combination with traditional data mining techniques and contribute to the development of more effective data analysis strategies. As biomedical research evolves from traditional clinical and biological investigations towards omics sciences and translational research, specific needs have emerged, including integrating data collected in research studies with patient clinical data, linking omics knowledge with medical knowledge, modeling the molecular basis of diseases, and developing tools that support in-depth analysis of research data. As such, translational research illustrates the need to bridge the gap between bioinformatics and medical informatics, and opens new avenues for biomedical informatics research.

Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

PubMed Central

Bennett, Kristin P.

2014-01-01

We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC) clades. The proposed knowledge-based Bayesian network (KBBN) treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-based support vector machine approaches which require rules expressed as polyhedral sets, KBBN directly incorporates the rules without any modification. KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous. We develop a predictive KBBN model for 69 MTBC clades found in the SITVIT international collection. We validate the approach using two testbeds that model knowledge of the MTBC obtained from two different experts and large DNA fingerprint databases to predict MTBC genetic clades and sublineages. These models represent strains of MTBC using high-throughput biomarkers called spacer oligonucleotide types (spoligotypes), since these are routinely gathered from MTBC isolates of tuberculosis (TB) patients. Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web. PMID:24864238

Access to finance from different finance provider types: Farmer knowledge of the requirements.

PubMed

Wulandari, Eliana; Meuwissen, Miranda P M; Karmana, Maman H; Oude Lansink, Alfons G J M

2017-01-01

Analysing farmer knowledge of the requirements of finance providers can provide valuable insights to policy makers about ways to improve farmers' access to finance. This study compares farmer knowledge of the requirements to obtain finance with the actual requirements set by different finance provider types, and investigates the relation between demographic and socioeconomic factors and farmer knowledge of finance requirements. We use a structured questionnaire to collect data from a sample of finance providers and farmers in Java Island, Indonesia. We find that the most important requirements to acquire finance vary among different finance provider types. We also find that farmers generally have little knowledge of the requirements, which are important to each type of finance provider. Awareness campaigns are needed to increase farmer knowledge of the diversity of requirements among the finance provider types.

Access to finance from different finance provider types: Farmer knowledge of the requirements

PubMed Central

Meuwissen, Miranda P. M.; Karmana, Maman H.; Oude Lansink, Alfons G. J. M.

2017-01-01

Analysing farmer knowledge of the requirements of finance providers can provide valuable insights to policy makers about ways to improve farmers’ access to finance. This study compares farmer knowledge of the requirements to obtain finance with the actual requirements set by different finance provider types, and investigates the relation between demographic and socioeconomic factors and farmer knowledge of finance requirements. We use a structured questionnaire to collect data from a sample of finance providers and farmers in Java Island, Indonesia. We find that the most important requirements to acquire finance vary among different finance provider types. We also find that farmers generally have little knowledge of the requirements, which are important to each type of finance provider. Awareness campaigns are needed to increase farmer knowledge of the diversity of requirements among the finance provider types. PMID:28877174

Using XML and XSLT for flexible elicitation of mental-health risk knowledge.

PubMed

Buckingham, C D; Ahmed, A; Adams, A E

2007-03-01

Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.

Building Information Management as a Tool for Managing Knowledge throughout whole Building Life Cycle

NASA Astrophysics Data System (ADS)

Nývlt, Vladimír; Prušková, Kristýna

2017-10-01

BIM today is much more than drafting in 3D only, and project participants are further challenging, what is the topic of both this paper, and further research. Knowledge of objects, their behaviour, and other characteristics has high impact on whole building life cycle. Other structured and unstructured knowledge is rightfully added (e.g. historically based experience, needs and requirements of users, investors, needs for project and objects revisions) Grasping of all attributes into system for collection, managing and time control of knowledge. Further important findings lie in the necessity of understanding how to manage knowledge needs with diverse and variable ways, when BIM maturity levels are advanced, as defined by Bew and Richards (2008). All decisions made would always rely on good, timely, and correct data. Usage of BIM models in terms of Building Information Management can support all decisions through data gathering, sharing, and using across all disciplines and all Life Cycle steps. It particularly significantly improves possibilities and level of life cycle costing. Experience and knowledge stored in data models of BIM, describing user requirements, best practices derived from other projects and/or research outputs will help to understand sustainability in its complexity and wholeness.

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

Hess, J.W.

An aircraft battle-damage repair (BDR) program is described that provides for the assessment and repair of battle damage and the return of badly damaged aircraft to their home bases. The program methodology is based on the use of time-saving temporary repairs and associated training and materials provision. BDR is shown to require knowledge of damage mechanisms and specifications for the minimum effective requirements for BDR support, and the method can facilitate the return of 50 percent of damaged aircraft within 24 hours.

Emergency management in health: key issues and challenges in the UK.

PubMed

Lee, Andrew C K; Phillips, Wendy; Challen, Kirsty; Goodacre, Steve

2012-10-19

Emergency planning in the UK has grown considerably in recent years, galvanised by the threat of terrorism. However, deficiencies in NHS emergency planning were identified and the evidence-base that underpins it is questionable. Inconsistencies in terminologies and concepts also exist. Different models of emergency management exist internationally but the optimal system is unknown. This study examines the evidence-base and evidence requirements for emergency planning in the UK health context. The study involved semi-structured interviews with key stakeholders and opinion leaders. Purposive sampling was used to obtain a breadth of views from various agencies involved in emergency planning and response. Interviews were then analysed using a grounded approach using standard framework analysis techniques. We conducted 17 key informant interviews. Interviewees identified greater gaps in operational than technical aspects of emergency planning. Social and behavioural knowledge gaps were highlighted with regards to how individuals and organisations deal with risk and behave in emergencies. Evidence-based approaches to public engagement and for developing community resilience to disasters are lacking. Other gaps included how knowledge was developed and used. Conflicting views with regards to the optimal configuration and operation of the emergency management system were voiced. Four thematic categories for future research emerged:(i) Knowledge-base for emergency management: Further exploration is needed of how knowledge is acquired, valued, disseminated, adopted and retained.(ii) Social and behavioural issues: Greater understanding of how individuals approach risk and behave in emergencies is required.(iii) Organisational issues in emergencies: Several conflicting organisational issues were identified; value of planning versus plans, flexible versus standardized procedures, top-down versus bottom-up engagement, generic versus specific planning, and reactive versus proactive approaches to emergencies.(iv) Emergency management system: More study is required of system-wide issues relating to system configuration and operation, public engagement, and how emergency planning is assessed.

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.

Telerobotic control of a mobile coordinated robotic server, executive summary

NASA Technical Reports Server (NTRS)

Lee, Gordon

1993-01-01

This interim report continues with the research effort on advanced adaptive controls for space robotics systems. In particular, previous results developed by the principle investigator and his research team centered around fuzzy logic control (FLC) in which the lack of knowledge of the robotic system as well as the uncertainties of the environment are compensated for by a rule base structure which interacts with varying degrees of belief of control action using system measurements. An on-line adaptive algorithm was developed using a single parameter tuning scheme. In the effort presented, the methodology is further developed to include on-line scaling factor tuning and self-learning control as well as extended to the multi-input, multi-output (MIMO) case. Classical fuzzy logic control requires tuning input scale factors off-line through trial and error techniques. This is time-consuming and cannot adapt to new changes in the process. The new adaptive FLC includes a self-tuning scheme for choosing the scaling factors on-line. Further the rule base in classical FLC is usually produced by soliciting knowledge from human operators as to what is good control action for given circumstances. This usually requires full knowledge and experience of the process and operating conditions, which limits applicability. A self-learning scheme is developed which adaptively forms the rule base with very limited knowledge of the process. Finally, a MIMO method is presented employing optimization techniques. This is required for application to space robotics in which several degrees-of-freedom links are commonly used. Simulation examples are presented for terminal control - typical of robotic problems in which a desired terminal point is to be reached for each link. Future activities will be to implement the MIMO adaptive FLC on an INTEL microcontroller-based circuit and to test the algorithm on a robotic system at the Mars Mission Research Center at North Carolina State University.

Developing Health Literacy Knowledge and Skills Through Case-Based Learning

PubMed Central

Lopez, Tina

2014-01-01

Objective. To evaluate the efficacy of case-based learning to teach pharmacy students health literacy concepts and skills in managing patients with limited health literacy. Design. A health literacy patient case was developed and incorporated into a case-based learning laboratory. The case involved a patient with limited health literacy and required students to evaluate and formulate a care plan. Assessment. A comparison of pretest and posttest scores demonstrated that students gained health literacy knowledge and skills through completion of the patient case. Students believed that the case-based exercise was successful in meeting specific learning objectives for the course. Conclusions. Addition of a case-based learning was effective in teaching pharmacy students health literacy concepts and skills. PMID:24558285

Semantic Relatedness for Evaluation of Course Equivalencies

ERIC Educational Resources Information Center

Yang, Beibei

2012-01-01

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…

Development of Learning Resources to Promote Knowledge Sharing in Problem Based Learning

ERIC Educational Resources Information Center

Uden, Lorna; Page, Tom

2008-01-01

Problem Based Learning offers many benefits to students' learning, however, the design and implementation of effective problem based learning (PBL) is not trivial. Central to effective implementation of PBL are the problem design and group working of the students. Design of good problems requires that the learning outcomes of the subject are…

Job requirements compared to dental school education: impact of a case-based learning curriculum.

PubMed

Keeve, Philip L; Gerhards, Ute; Arnold, Wolfgang A; Zimmer, Stefan; Zöllner, Axel

2012-01-01

Case-based learning (CBL) is suggested as a key educational method of knowledge acquisition to improve dental education. The purpose of this study was to assess graduates from a patient-oriented, case-based learning (CBL)-based curriculum as regards to key competencies required at their professional activity. 407 graduates from a patient-oriented, case-based learning (CBL) dental curriculum who graduated between 1990 and 2006 were eligible for this study. 404 graduates were contacted between 2007 and 2008 to self-assess nine competencies as required at their day-to-day work and as taught in dental school on a 6-point Likert scale. Baseline demographics and clinical characteristics were presented as mean ± standard deviation (SD) for continuous variables. To determine whether dental education sufficiently covers the job requirements of physicians, we calculated the mean difference ∆ between the ratings of competencies as required in day-to-day work and as taught in medical school by subtracting those from each other (negative mean difference ∆ indicates deficit; positive mean difference ∆ indicates surplus). Spearman's rank correlation coefficient was calculated to reveal statistical significance (statistical significance p<0.05). 41.6% recipients of the questionnaire responded (n=168 graduates). A homogeneous distribution quantity of the graduate groups concerning gender, graduation date, professional experience and average examination grade was achieved.Comparing competencies required at work and taught in medical school, CBL was associated with benefits in "Research competence" (∆+0.6) "Interdisciplinary thinking" (∆+0.47), "Dental medical knowledge" (∆+0.43), "Practical dental skills" (∆+0.21), "Team work" (∆+0.16) and "Independent learning/working" (∆+0.08), whereas "Problem-solving skills" (∆-0.07), "Psycho-social competence" (∆-0.66) and "Business competence" (∆-2.86) needed improvement in the CBL-based curriculum. CBL demonstrated benefits with regard to competencies which were highly required in the job of dentists. Psycho-social and business competence deserve closer attention in future curricular development.

Survey Says? A Primer on Web-based Survey Design and Distribution

PubMed Central

Oppenheimer, Adam J.; Pannucci, Christopher J.; Kasten, Steven J.; Haase, Steven C.

2011-01-01

The internet has changed the way in which we gather and interpret information. While books were once the exclusive bearers of data, knowledge is now only a keystroke away. The internet has also facilitated the synthesis of new knowledge. Specifically, it has become a tool through which medical research is conducted. A review of the literature reveals that in the past year, over one-hundred medical publications have been based on web-based survey data alone. Due to emerging internet technologies, web-based surveys can now be launched with little computer knowledge. They may also be self-administered, eliminating personnel requirements. Ultimately, an investigator may build, implement, and analyze survey results with speed and efficiency, obviating the need for mass mailings and data processing. All of these qualities have rendered telephone and mail-based surveys virtually obsolete. Despite these capabilities, web-based survey techniques are not without their limitations, namely recall and response biases. When used properly, however, web-based surveys can greatly simplify the research process. This article discusses the implications of web-based surveys and provides guidelines for their effective design and distribution. PMID:21701347

Simple data-smoothing and noise-suppression technique

NASA Technical Reports Server (NTRS)

Duty, R. L.

1970-01-01

Algorithm, based on the Borel method of summing divergent sequences, is used for smoothing noisy data where knowledge of frequency content is not required. Technique's effectiveness is demonstrated by a series of graphs.

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.

NSF's Perspective on Space Weather Research for Building Forecasting Capabilities

NASA Astrophysics Data System (ADS)

Bisi, M. M.; Pulkkinen, A. A.; Bisi, M. M.; Pulkkinen, A. A.; Webb, D. F.; Oughton, E. J.; Azeem, S. I.

2017-12-01

Space weather research at the National Science Foundation (NSF) is focused on scientific discovery and on deepening knowledge of the Sun-Geospace system. The process of maturation of knowledge base is a requirement for the development of improved space weather forecast models and for the accurate assessment of potential mitigation strategies. Progress in space weather forecasting requires advancing in-depth understanding of the underlying physical processes, developing better instrumentation and measurement techniques, and capturing the advancements in understanding in large-scale physics based models that span the entire chain of events from the Sun to the Earth. This presentation will provide an overview of current and planned programs pertaining to space weather research at NSF and discuss the recommendations of the Geospace Section portfolio review panel within the context of space weather forecasting capabilities.

Computer-Mediated Assessment of Higher-Order Thinking Development

ERIC Educational Resources Information Center

Tilchin, Oleg; Raiyn, Jamal

2015-01-01

Solving complicated problems in a contemporary knowledge-based society requires higher-order thinking (HOT). The most productive way to encourage development of HOT in students is through use of the Problem-based Learning (PBL) model. This model organizes learning by solving corresponding problems relative to study courses. Students are directed…

MODELLING THE UPTAKE AND DISPOSITION OF HYDROPHOBIC ORGANIC CHEMICALS IN FISH USING A PHYSIOLOGICALLY BASED APPROACH

EPA Science Inventory

The development of physiologically based toxicokinetic (PBTK) models for hydrophobic chemicals in fish requires: 1) an understanding of chemical efflux at fish gills; 2) knowledge of the factors that limit chemical exchange between blood and tissues; and, 3) a mechanistic descrip...

Stakeholders' Home and Community Based Services Settings Rule Knowledge

ERIC Educational Resources Information Center

Friedman, Carli

2018-01-01

Medicaid Home and Community Based Services (HCBS) waiver programs provide the majority of long-term services and supports for people with intellectual and developmental disabilities (IDD). Relatively new (2014) HCBS rules (CMS 2249-F/2296-F) governing these programs require "meaningful community" integration of people with disabilities…

Implementation of a Project-Based Telecommunications Engineering Design Course

ERIC Educational Resources Information Center

Aliakbarian, Hadi; Soh, Ping Jack; Farsi, Saeed; Xu, Hantao; Van Lil, Emmanuel H. E. M. J. C.; Nauwelaers, Bart K. J. C.; Vandenbosch, Guy A. E.; Schreurs, Dominique M. M.-P.

2014-01-01

This paper describes and discusses the implementation of a project-based graduate design course in telecommunications engineering. This course, which requires a combination of technical and soft skills for its completion, enables guided independent learning (GIL) and application of technical knowledge acquired from classroom learning. Its main…

Supporting the Health and Wellness of Individuals with Psychiatric Disabilities

ERIC Educational Resources Information Center

Swarbrick, Margaret; Nemec, Patricia B.

2016-01-01

Purpose: Psychiatric rehabilitation is recognized as a field with specialized knowledge and skills required for practice. The certified psychiatric rehabilitation practitioner (CPRP) credential, an exam-based certification process, is based on a regularly updated job task analysis that, in its most recent iteration, identified the new core…

Irrigation scheduling as affected by field capacity and wilting point water content from different data sources

USDA-ARS?s Scientific Manuscript database

Soil water content at field capacity and wilting point water content is critical information for irrigation scheduling, regardless of soil water sensor-based method (SM) or evapotranspiration (ET)-based method. Both methods require knowledge on site-specific and soil-specific Management Allowable De...

A Prototype Knowledge-Based System for Satellite Mission Planning.

DTIC Science & Technology

1986-12-01

used by different groups in an operational environment. 6 II. Literature Review As management science has recognized, it is not practical to separate...schedule only one satellite per set of requirements. A -4 .............. er.- Appendix B O9perational Conce~t Usin a Knowlede -Based System There are many

Development and Evaluation of an Interactive Internet-Based Pharmacokinetic Teaching Module.

ERIC Educational Resources Information Center

Hedaya, Mohsen A.

1998-01-01

Describes an Internet-based, interactive, learner-centered, asynchronous instructional module for pharmacokinetics that requires minimal computer knowledge to operate. Main components are concept presentation, a simulation exercise, and self-assessment questions. The module has been found effective in teaching the steady state concept at the…

Project-Based Learning in Electronic Technology: A Case Study

ERIC Educational Resources Information Center

Li, Li

2015-01-01

A case study of project-based learning (PBL) implemented in Tianjin University of Technology and Education is presented. This multidiscipline project is innovated to meet the novel requirements of industry while keeping its traditional effectiveness in driving students to apply knowledge to practice and problem-solving. The implementation of PBL…

Preparing Students for Flipped or Team-Based Learning Methods

ERIC Educational Resources Information Center

Balan, Peter; Clark, Michele; Restall, Gregory

2015-01-01

Purpose: Teaching methods such as Flipped Learning and Team-Based Learning require students to pre-learn course materials before a teaching session, because classroom exercises rely on students using self-gained knowledge. This is the reverse to "traditional" teaching when course materials are presented during a lecture, and students are…

Making Work-Based Learning Work

ERIC Educational Resources Information Center

Cahill, Charlotte

2016-01-01

Americans seeking employment often face a conundrum: relevant work experience is a prerequisite for many jobs, but it is difficult to gain the required experience without being in the workplace. Work-based learning--activities that occur in workplaces through which youth and adults gain the knowledge, skills, and experience needed for entry or…

Comparative Analysis of Palm and Wearable Computers for Participatory Simulations

ERIC Educational Resources Information Center

Klopfer, Eric; Yoon, Susan; Rivas, Luz

2004-01-01

Recent educational computer-based technologies have offered promising lines of research that promote social constructivist learning goals, develop skills required to operate in a knowledge-based economy (Roschelle et al. 2000), and enable more authentic science-like problem-solving. In our research programme, we have been interested in combining…

Evaluation of knowledge resources for public health reporting logic: Implications for knowledge authoring and management

PubMed Central

Staes, Catherine J; Altamore, Rita; Han, EunGyoung; Mottice, Susan; Rajeev, Deepthi; Bradshaw, Richard

2011-01-01

To control disease, laboratories and providers are required to report conditions to public health authorities. Reporting logic is defined in a variety of resources, but there is no single resource available for reporters to access the list of reportable events and computable reporting logic for any jurisdiction. In order to develop evidence-based requirements for authoring such knowledge, we evaluated reporting logic in the Council of State and Territorial Epidemiologist (CSTE) position statements to assess its readiness for automated systems and identify features that should be considered when designing an authoring interface; we evaluated codes in the Reportable Condition Mapping Tables (RCMT) relative to the nationally-defined reporting logic, and described the high level business processes and knowledge required to support laboratory-based public health reporting. We focused on logic for viral hepatitis. We found that CSTE tabular logic was unnecessarily complex (sufficient conditions superseded necessary and optional conditions) and was sometimes true for more than one reportable event: we uncovered major overlap in the logic between acute and chronic hepatitis B (52%), acute and Past and Present hepatitis C (90%). We found that the RCMT includes codes for all hepatitis criteria, but includes addition codes for tests not included in the criteria. The proportion of hepatitis variant-related codes included in RCMT that correspond to a criterion in the hepatitis-related position statements varied between hepatitis A (36%), acute hepatitis B (16%), chronic hepatitis B (64%), acute hepatitis C (96%), and past and present hepatitis C (96%). Public health epidemiologists have the need to communicate parameters other than just the name of a disease or organism that should be reported, such as the status and specimen sources. Existing knowledge resources should be integrated, harmonized and made computable. Our findings identified functionality that should be provided by future knowledge management systems to support epidemiologists as they communicate reporting rules for their jurisdiction. PMID:23569619

Examining pediatric emergency home ventilation practices in home health nurses: Opportunities for improved care.

PubMed

Kun, Sheila S; Beas, Virginia N; Keens, Thomas G; Ward, Sally S L; Gold, Jeffrey I

2015-07-01

To assess the pediatric home health nurses' knowledge in tracheostomy and ventilator emergency care on home mechanical ventilation (HMV). Emergencies are frightening experiences for solo home health nurses and require advanced skills in emergency response and care, especially in pediatric patients who pose unique challenges. Nurses with greater years of nursing experience would perform better on emergency HMV case-based scenarios than nurses with less years of experience. An exploratory online survey was used to evaluate emergency case-based pediatric scenarios. Demographic and professional experiences were profiled. Seventy-nine nurses had an average of 6.73 (SD = 1.41) years in pediatric nursing. Over 70% received their HMV training in their agency, 41% had less than 4 years of experience, and 30.4% had encountered at least one emergency situation at home. The online survey was distributed by managers of 22 home health agencies to nurses providing pediatric HMV care. Nurses scored an average of 4.87 out of 10 possible points. There were no significant differences between nurses with <4 years of experience versus those with more experience on ventilator alarms knowledge or total knowledge. Ninety-seven percent of the nurses favored more training in HMV from a variety of settings (e.g., agency, on-line training). Nurses did not perform well in case-based ventilator alarm scenarios. Length of nursing experience did not differentiate greater knowledge. It is clear that nurses require and want more training in emergency-based HMV. Recommendations for an enhanced curriculum are suggested. © 2014 Wiley Periodicals, Inc.

EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria.

PubMed

Boland, Mary Regina; Tu, Samson W; Carini, Simona; Sim, Ida; Weng, Chunhua

2012-01-01

Effective clinical text processing requires accurate extraction and representation of temporal expressions. Multiple temporal information extraction models were developed but a similar need for extracting temporal expressions in eligibility criteria (e.g., for eligibility determination) remains. We identified the temporal knowledge representation requirements of eligibility criteria by reviewing 100 temporal criteria. We developed EliXR-TIME, a frame-based representation designed to support semantic annotation for temporal expressions in eligibility criteria by reusing applicable classes from well-known clinical temporal knowledge representations. We used EliXR-TIME to analyze a training set of 50 new temporal eligibility criteria. We evaluated EliXR-TIME using an additional random sample of 20 eligibility criteria with temporal expressions that have no overlap with the training data, yielding 92.7% (76 / 82) inter-coder agreement on sentence chunking and 72% (72 / 100) agreement on semantic annotation. We conclude that this knowledge representation can facilitate semantic annotation of the temporal expressions in eligibility criteria.

Exploring knowledge, attitudes, and barriers toward the use of evidence-based practice amongst academic health care practitioners in their teaching in a South African university: a pilot study.

PubMed

McInerney, Patricia; Suleman, Fatima

2010-06-01

If institutions of higher education are to produce health professionals whose practice is research based, then students need to be exposed to learning opportunities that include searching for information and critical appraisal. This requires teachers to incorporate the latest research in their teaching. One of the identified strategic goals of a South African university was to produce evidence-based health care practitioners. Evidence-based practice (EBP) requires that health care practitioners plan their actions based on clinically relevant studies and research as opposed to traditional actions that are steeped in opinion. To determine the extent to which academic health care practitioners use "evidence" in their teaching and what they perceived as barriers to the use of EBP. A quantitative design was chosen and a structured questionnaire was used. The areas that were measured included knowledge and attitudes, use of EBP and perceived barriers to the use of EBP. Twenty-three academic health care practitioners completed the questionnaire. Knowledge and attitudes: 80% strongly agreed on a four-point Likert scale, that there is a strong need to incorporate EBP into teaching, with only 48% strongly agreeing that EBP is another perspective of clinical effectiveness. Use of EBP: 73.9% stated that they used EBP in their teaching and 60.9% agreed that it imposes another demand on an already overloaded academic. More than half reported using journals, textbooks, the Internet, colleagues, and the Cochrane library to improve their teaching. Academic health care practitioners attempting to implement EBP have encountered a significant number of barriers in this South African institution. These barriers include lack of knowledge pertaining to EBP, lack of access to research findings, insufficient evidence, and insufficient time.

Personnel and Training Requirements for the ASR-21 Rescue Control Center.

ERIC Educational Resources Information Center

DeLuca, Joseph F.; Noble, John F.

This report covers personnel and training requirements for Rescue Control Center (RCC) twin hull submarine rescue ships (ASRs). Skills and knowledge similar to those of a sonar technician (ST-0408) and a data system technician (DS-1666) are needed to operate the special sonar set and computer based system, but no suitable Navy training facility…

Project-Based Learning: Application to a Research Master Subject of Thermal Engineering

ERIC Educational Resources Information Center

Arce, María Elena; Míguez-Tabarés, José Luis; Granada, Enrique; Míguez, Carla; Cacabelos, Antón

2013-01-01

The European Higher Education Area (EHEA) requires students to engage in more autonomous work. This autonomy is an outcome of the self-regulated learning process. Self-regulation involves a self-management skill set that can cope with any adverse contingency and requires both knowledge of the available abilities and personal control to put these…

Development of an Effective School-Based Financial Management Profile in Malaysia: The Delphi Method Application

ERIC Educational Resources Information Center

Radzi, Norfariza Mohd; Ghani, Muhammad Faizal A.; Siraj, Saedah

2015-01-01

The agenda for national development requires a persistent improvement in education as a tool for creating knowledgeable human capital, highly skilled labour, a high technology society and ultimately a highly civilized nation for the future challenging world. It requires considerable financial and technical investment as well as effective and…

Knowledge and Practices of Faculty at NASM Accredited Institutions in the Southeast Region Regarding Standards-Based Instruction

ERIC Educational Resources Information Center

Nelson, Jonathan Leon

2017-01-01

In 1993, Congress passed the mandate "Goals 2000: Educate America Act," which established standards for K-12 education that outlined the core benchmarks of student achievement for individuals who have mastered the core curricula required to earn a high school diploma (Mark, 1995). Unfortunately, these curricular requirements did not…

Extending E-Book with Contextual Knowledge Recommender for Reading Support on a Web-Based Learning System

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Wei, Fu-Hsiang; Wang, Chin-Yeh; Lee, Jih-Hsien

2007-01-01

Reading content of the Web is increasingly popular. When students read the same material, each student has a unique comprehension of the text and requires individual support from appropriate references. Most references in typical web learning systems are unorganized. Students are often required to disrupt their reading to locate references. This…

Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts.

PubMed

Kawamoto, Kensaku; Hongsermeier, Tonya; Wright, Adam; Lewis, Janet; Bell, Douglas S; Middleton, Blackford

2013-01-01

To identify key principles for establishing a national clinical decision support (CDS) knowledge sharing framework. As part of an initiative by the US Office of the National Coordinator for Health IT (ONC) to establish a framework for national CDS knowledge sharing, key stakeholders were identified. Stakeholders' viewpoints were obtained through surveys and in-depth interviews, and findings and relevant insights were summarized. Based on these insights, key principles were formulated for establishing a national CDS knowledge sharing framework. Nineteen key stakeholders were recruited, including six executives from electronic health record system vendors, seven executives from knowledge content producers, three executives from healthcare provider organizations, and three additional experts in clinical informatics. Based on these stakeholders' insights, five key principles were identified for effectively sharing CDS knowledge nationally. These principles are (1) prioritize and support the creation and maintenance of a national CDS knowledge sharing framework; (2) facilitate the development of high-value content and tooling, preferably in an open-source manner; (3) accelerate the development or licensing of required, pragmatic standards; (4) acknowledge and address medicolegal liability concerns; and (5) establish a self-sustaining business model. Based on the principles identified, a roadmap for national CDS knowledge sharing was developed through the ONC's Advancing CDS initiative. The study findings may serve as a useful guide for ongoing activities by the ONC and others to establish a national framework for sharing CDS knowledge and improving clinical care.

Going beyond the lesson: Self-generating new factual knowledge in the classroom

PubMed Central

Esposito, Alena G.; Bauer, Patricia J.

2016-01-01

For children to build a knowledge base, they must integrate and extend knowledge acquired across separate episodes of new learning. Children’s performance was assessed in a task requiring them to self-generate new factual knowledge from the integration of novel facts presented through separate lessons in the classroom. Whether self-generation performance predicted academic outcomes in reading comprehension and mathematics was also examined. The 278 participating children were in grades K-3 (mean age 7.7 years; range 5.5–10.3 years). Children self-generated new factual knowledge through integration in the classroom; age-related increases were observed. Self-generation performance predicted both reading comprehension and mathematics academic outcomes, even when controlling for caregiver education. PMID:27728784

Investigating Approaches to Achieve Modularity Benefits in the Acquisition Ecosystem

DTIC Science & Technology

2017-06-09

actions and that of others, and how the assessments are affected by their actions. • Case study approach based on best practices, tacit knowledge... case study -derived exemplars, and items requiring further research on identifying additional enablers and useful knowledge constructs. All of these... case studies that document the effective use of modularity in system design for some or all of innovation, competition, cost, technology and

Future Job Openings: Australia in the Knowledge Economy. Project 2000-02: Changing Skill Requirements in the Australian Labour Force in a Knowledge Economy. Working Paper.

ERIC Educational Resources Information Center

Shah, Chandra; Burke, Gerald

Forecasts of Australian labor market growth, net replacement needs, and net job openings to 2006 are presented using the nine-way grouping of occupations described by (Maglen and Shah, 1999). Analysis is based on classifying occupations by whether they are advantaged by globalization and technological change, relatively insulated, or vulnerable.…

Use of a wiki as a radiology departmental knowledge management system.

PubMed

Meenan, Christopher; King, Antoinette; Toland, Christopher; Daly, Mark; Nagy, Paul

2010-04-01

Information technology teams in health care are tasked with maintaining a variety of information systems with complex support requirements. In radiology, this includes picture archive and communication systems, radiology information systems, speech recognition systems, and other ancillary systems. Hospital information technology (IT) departments are required to provide 24 x 7 support for these mission-critical systems that directly support patient care in emergency and other critical care departments. The practical know-how to keep these systems operational and diagnose problems promptly is difficult to maintain around the clock. Specific details on infrequent failure modes or advanced troubleshooting strategies may reside with only a few senior staff members. Our goal was to reduce diagnosis and recovery times for issues with our mission-critical systems. We created a knowledge base for building and quickly disseminating technical expertise to our entire support staff. We used an open source, wiki-based, collaborative authoring system internally within our IT department to improve our ability to deliver a high level of service to our customers. In this paper, we describe our evaluation of the wiki and the ways in which we used it to organize our support knowledge. We found the wiki to be an effective tool for knowledge management and for improving our ability to provide mission-critical support for health care IT systems.

Enhancing nursing students' clinical experiences using aesthetics.

PubMed

Northington, Ladonna; Wilkerson, Robin; Fisher, Wanda; Schenk, Laura

2005-01-01

Traditional nursing education is based strongly in empiric knowledge. However, just as important as empiric knowledge is aesthetic knowledge. Nursing involves multiple ways of knowing, and as such, educational institutions have a responsibility to assist students in gaining knowledge in nontraditonal ways. This article describes an assignment implemented in a pediatric course in a baccalaureate nursing program. Books and movies were used in a an undergraduate nursing course to help students gain insight into illness and disability from the client and family perspective. The students in the course were required to reflect on the meaning of the movie/book and the influence the book/movie had on the student. Based on student responses, this assignment was successful in meeting the objectives originally proposed. The books and movies provided a beginning introduction to, and an appreciation for, client and family experiences. Students were helped to understand illness, abuse, disability, and/or death from the client and/or family perspective.

Rape: psychopathology, theory and treatment.

PubMed

Gannon, Theresa A; Collie, Rachael M; Ward, Tony; Thakker, Jo

2008-07-01

Whether treatment programs are effective at rehabilitating rapists is yet to be determined empirically. From a scientist-practitioner perspective, treatment should be based on an empirical understanding of rape and rapists, and evidence-based knowledge of treatment outcome with rapists. In this paper we comprehensively review the characteristics of rapists, etiological features implicated in the commission of rape, and relevant treatment outcome research. We pay particular attention to contemporary knowledge about the core vulnerabilities and features required to understand and treat rapists effectively, and, where possible, highlight similarities and differences between rapists, child molesters and non-sexual violent offenders. We use an epistemological framework to (a) critique the various etiological accounts of rape available and (b) help guide professionals' use of such knowledge in both treatment design and evaluation. Gaps in the understanding of rapists' characteristics and etiological features are highlighted, as are discrepancies between current knowledge and treatment approaches. We conclude by highlighting areas for future research and practice innovation.

So what exactly is nursing knowledge?

PubMed

Clarke, L

2011-06-01

This paper aims to present a discussion about intrinsic nursing knowledge. The paper stems from the author's study of knowledge claims enshrined in nursing journal articles, books and conference speeches. It is argued that claims by academic nurses have largely depended on principles drawn from continental and not Analytic (British-American) philosophy. Thus, claims are credible only insofar as they defer propositional logic. This is problematic inasmuch as nursing is a practice-based activity usually carried out in medical settings. Transpersonal nursing models are particularly criticizable in respect of their unworldly character as are also concepts based on shallow usages of physics or mathematics. I argue that sensible measurements of the 'real world' are possible--without endorsing positivism--and that nursing requires little recourse to logically unsustainable claims. The paper concludes with an analysis of a recent review of nursing knowledge, which analysis indicates the circularity that attends many discussions on the topic. © 2011 Blackwell Publishing.

C-Language Integrated Production System, Version 6.0

NASA Technical Reports Server (NTRS)

Riley, Gary; Donnell, Brian; Ly, Huyen-Anh Bebe; Ortiz, Chris

1995-01-01

C Language Integrated Production System (CLIPS) computer programs are specifically intended to model human expertise or other knowledge. CLIPS is designed to enable research on, and development and delivery of, artificial intelligence on conventional computers. CLIPS 6.0 provides cohesive software tool for handling wide variety of knowledge with support for three different programming paradigms: rule-based, object-oriented, and procedural. Rule-based programming: representation of knowledge as heuristics - essentially, rules of thumb that specify set of actions performed in given situation. Object-oriented programming: modeling of complex systems comprised of modular components easily reused to model other systems or create new components. Procedural-programming: representation of knowledge in ways similar to those of such languages as C, Pascal, Ada, and LISP. Version of CLIPS 6.0 for IBM PC-compatible computers requires DOS v3.3 or later and/or Windows 3.1 or later.

Use of knowledge-sharing web-based portal in gross and microscopic anatomy.

PubMed

Durosaro, Olayemi; Lachman, Nirusha; Pawlina, Wojciech

2008-12-01

Changes in worldwide healthcare delivery require review of current medical school curricula structure to develop learning outcomes that ensures mastery of knowledge and clinical competency. In the last 3 years, Mayo Medical School implemented outcomes-based curriculum to encompass new graduate outcomes. Standard courses were replaced by 6-week clinically-integrated didactic blocks separated by student-self selected academic enrichment activities. Gross and microscopic anatomy was integrated with radiology and genetics respectively. Laboratory components include virtual microscopy and anatomical dissection. Students assigned to teams utilise computer portals to share learning experiences. High-resolution computed tomographic (CT) scans of cadavers prior to dissection were made available for correlative learning between the cadaveric material and radiologic images. Students work in teams on assigned presentations that include histology, cell and molecular biology, genetics and genomic using the Nexus Portal, based on DrupalEd, to share their observations, reflections and dissection findings. New generation of medical students are clearly comfortable utilising web-based programmes that maximise their learning potential of conceptually difficult and labor intensive courses. Team-based learning approach emphasising the use of knowledge-sharing computer portals maximises opportunities for students to master their knowledge and improve cognitive skills to ensure clinical competency.

Towards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature

PubMed Central

Xu, Rong; Li, Li; Wang, QuanQiu

2013-01-01

Motivation: Systems approaches to studying phenotypic relationships among diseases are emerging as an active area of research for both novel disease gene discovery and drug repurposing. Currently, systematic study of disease phenotypic relationships on a phenome-wide scale is limited because large-scale machine-understandable disease–phenotype relationship knowledge bases are often unavailable. Here, we present an automatic approach to extract disease–manifestation (D-M) pairs (one specific type of disease–phenotype relationship) from the wide body of published biomedical literature. Data and Methods: Our method leverages external knowledge and limits the amount of human effort required. For the text corpus, we used 119 085 682 MEDLINE sentences (21 354 075 citations). First, we used D-M pairs from existing biomedical ontologies as prior knowledge to automatically discover D-M–specific syntactic patterns. We then extracted additional pairs from MEDLINE using the learned patterns. Finally, we analysed correlations between disease manifestations and disease-associated genes and drugs to demonstrate the potential of this newly created knowledge base in disease gene discovery and drug repurposing. Results: In total, we extracted 121 359 unique D-M pairs with a high precision of 0.924. Among the extracted pairs, 120 419 (99.2%) have not been captured in existing structured knowledge sources. We have shown that disease manifestations correlate positively with both disease-associated genes and drug treatments. Conclusions: The main contribution of our study is the creation of a large-scale and accurate D-M phenotype relationship knowledge base. This unique knowledge base, when combined with existing phenotypic, genetic and proteomic datasets, can have profound implications in our deeper understanding of disease etiology and in rapid drug repurposing. Availability: http://nlp.case.edu/public/data/DMPatternUMLS/ Contact: rxx@case.edu PMID:23828786

Power management and distribution considerations for a lunar base

NASA Technical Reports Server (NTRS)

Kenny, Barbara H.; Coleman, Anthony S.

1991-01-01

Design philosophies and technology needs for the power management and distribution (PMAD) portion of a lunar base power system are discussed. A process is described whereby mission planners may proceed from a knowledge of the PMAD functions and mission performance requirements to a definition of design options and technology needs. Current research efforts at the NASA LRC to meet the PMAD system needs for a Lunar base are described. Based on the requirements, the lunar base PMAD is seen as best being accomplished by a utility like system, although with some additional demands including autonomous operation and scheduling and accurate, predictive modeling during the design process.

Declarative knowledge and professional vision in teacher education: effect of courses in teaching and learning.

PubMed

Stürmer, Kathleen; Könings, Karen D; Seidel, Tina

2013-09-01

Teachers' professional vision includes the ability to apply general pedagogical knowledge about components of effective teaching and learning to reason about significant features of classroom practice. It requires teachers to (a) describe, (b) explain, and (c) predict classroom situations. Although the acquisition of underling knowledge can be considered as a key element of university-based teacher education programmes, to date, there has been little empirical research on teacher candidates' development of professional vision. This study aims to improve understanding of how different university-based courses in teaching and learning impact the development of professional vision. Participants were teacher candidates (N= 53) attending the same teacher education programme at a German university. They were enrolled in one of three different compulsory courses in teaching and learning, lasting one semester. In a pre-test-post-test design, participants' declarative knowledge about teaching and learning was measured with a test, professional vision with the online tool Observer. Analysis of covariance and multivariate analysis of variance were conducted. Teacher candidates in all three courses showed significant gains both in declarative knowledge and professional vision. Patterns of results differed depending on the course attended. A video-based course with a focus on effective teaching resulted in highest gains in prediction of the consequences of observed events for student learning processes, which is the highest level of knowledge transfer. The development of professional vision is a strongly knowledge-guided process. In line with their content and aims, university-based courses can enhance teaching-relevant knowledge for teacher candidates. © 2012 The British Psychological Society.

Pay It Forward: High School Video-based Instruction Can Disseminate CPR Knowledge in Priority Neighborhoods.

PubMed

Del Rios, Marina; Han, Josiah; Cano, Alejandra; Ramirez, Victor; Morales, Gabriel; Campbell, Teri L; Hoek, Terry Vanden

2018-03-01

The implementation of creative new strategies to increase layperson cardiopulmonary resuscitation (CPR) and defibrillation may improve resuscitation in priority populations. As more communities implement laws requiring CPR training in high schools, there is potential for a multiplier effect and reach into priority communities with low bystander-CPR rates. We investigated the feasibility, knowledge acquisition, and dissemination of a high school-centered, CPR video self-instruction program with a "pay-it-forward" component in a low-income, urban, predominantly Black neighborhood in Chicago, Illinois with historically low bystander-CPR rates. Ninth and tenth graders followed a video self-instruction kit in a classroom setting to learn CPR. As homework, students were required to use the training kit to "pay it forward" and teach CPR to their friends and family. We administered pre- and post-intervention knowledge surveys to measure knowledge acquisition among classroom and "pay-it-forward" participants. Seventy-one classroom participants trained 347 of their friends and family, for an average of 4.9 additional persons trained per kit. Classroom CPR knowledge survey scores increased from 58% to 93% (p < 0.0001). The pay-it-forward cohort saw an increase from 58% to 82% (p < 0.0001). A high school-centered, CPR educational intervention with a "pay-it-forward" component can disseminate CPR knowledge beyond the classroom. Because schools are centrally-organized settings to which all children and their families have access, school-based interventions allow for a broad reach that encompasses all segments of the population and have potential to decrease disparities in bystander CPR provision.

Addressing the translational dilemma: dynamic knowledge representation of inflammation using agent-based modeling.

PubMed

An, Gary; Christley, Scott

2012-01-01

Given the panoply of system-level diseases that result from disordered inflammation, such as sepsis, atherosclerosis, cancer, and autoimmune disorders, understanding and characterizing the inflammatory response is a key target of biomedical research. Untangling the complex behavioral configurations associated with a process as ubiquitous as inflammation represents a prototype of the translational dilemma: the ability to translate mechanistic knowledge into effective therapeutics. A critical failure point in the current research environment is a throughput bottleneck at the level of evaluating hypotheses of mechanistic causality; these hypotheses represent the key step toward the application of knowledge for therapy development and design. Addressing the translational dilemma will require utilizing the ever-increasing power of computers and computational modeling to increase the efficiency of the scientific method in the identification and evaluation of hypotheses of mechanistic causality. More specifically, development needs to focus on facilitating the ability of non-computer trained biomedical researchers to utilize and instantiate their knowledge in dynamic computational models. This is termed "dynamic knowledge representation." Agent-based modeling is an object-oriented, discrete-event, rule-based simulation method that is well suited for biomedical dynamic knowledge representation. Agent-based modeling has been used in the study of inflammation at multiple scales. The ability of agent-based modeling to encompass multiple scales of biological process as well as spatial considerations, coupled with an intuitive modeling paradigm, suggest that this modeling framework is well suited for addressing the translational dilemma. This review describes agent-based modeling, gives examples of its applications in the study of inflammation, and introduces a proposed general expansion of the use of modeling and simulation to augment the generation and evaluation of knowledge by the biomedical research community at large.

Interactions of metal-based engineered nanoparticles with aquatic higher plants: A review of the state of current knowledge.

PubMed

Thwala, Melusi; Klaine, Stephen J; Musee, Ndeke

2016-07-01

The rising potential for the release of engineered nanoparticles (ENPs) into aquatic environments requires evaluation of risks to protect ecological health. The present review examines knowledge pertaining to the interactions of metal-based ENPs with aquatic higher plants, identifies information gaps, and raises considerations for future research to advance knowledge on the subject. The discussion focuses on ENPs' bioaccessibility; uptake, adsorption, translocation, and bioaccumulation; and toxicity effects on aquatic higher plants. An information deficit surrounds the uptake of ENPs and associated dynamics, because the influence of ENP characteristics and water quality conditions has not been well documented. Dissolution appears to be a key mechanism driving bioaccumulation of ENPs, whereas nanoparticulates often adsorb to plant surfaces with minimal internalization. However, few reports document the internalization of ENPs by plants; thus, the role of nanoparticulates' internalization in bioaccumulation and toxicity remains unclear, requiring further investigation. The toxicities of metal-based ENPs mainly have been associated with dissolution as a predominant mechanism, although nano toxicity has also been reported. To advance knowledge in this domain, future investigations need to integrate the influence of ENP characteristics and water physicochemical parameters, as their interplay determines ENP bioaccessibility and influences their risk to health of aquatic higher plants. Furthermore, harmonization of test protocols is recommended for fast tracking the generation of comparable data. Environ Toxicol Chem 2016;35:1677-1694. © 2016 SETAC. © 2016 SETAC.

Motor skill depends on knowledge of facts.

PubMed

Stanley, Jason; Krakauer, John W

2013-01-01

Those in 20th century philosophy, psychology, and neuroscience who have discussed the nature of skilled action have, for the most part, accepted the view that being skilled at an activity is independent of knowing facts about that activity, i.e., that skill is independent of knowledge of facts. In this paper we question this view of motor skill. We begin by situating the notion of skill in historical and philosophical context. We use the discussion to explain and motivate the view that motor skill depends upon knowledge of facts. This conclusion seemingly contradicts well-known results in cognitive science. It is natural, on the face of it, to take the case of H.M., the seminal case in cognitive neuroscience that led to the discovery of different memory systems, as providing powerful evidence for the independence of knowledge and skill acquisition. After all, H.M. seems to show that motor learning is retained even when previous knowledge about the activity has been lost. Improvements in skill generally require increased precision of selected actions, which we call motor acuity. Motor acuity may indeed not require propositional knowledge and has direct parallels with perceptual acuity. We argue, however, that reflection on the specifics of H.M.'s case, as well as other research on the nature of skill, indicates that learning to become skilled at a motor task, for example tennis, depends also on knowledge-based selection of the right actions. Thus skilled activity requires both acuity and knowledge, with both increasing with practice. The moral of our discussion ranges beyond debates about motor skill; we argue that it undermines any attempt to draw a distinction between practical and theoretical activities. While we will reject the independence of skill and knowledge, our discussion leaves open several different possible relations between knowledge and skill. Deciding between them is a task to be resolved by future research.

Motor skill depends on knowledge of facts

PubMed Central

Stanley, Jason; Krakauer, John W.

2013-01-01

Those in 20th century philosophy, psychology, and neuroscience who have discussed the nature of skilled action have, for the most part, accepted the view that being skilled at an activity is independent of knowing facts about that activity, i.e., that skill is independent of knowledge of facts. In this paper we question this view of motor skill. We begin by situating the notion of skill in historical and philosophical context. We use the discussion to explain and motivate the view that motor skill depends upon knowledge of facts. This conclusion seemingly contradicts well-known results in cognitive science. It is natural, on the face of it, to take the case of H.M., the seminal case in cognitive neuroscience that led to the discovery of different memory systems, as providing powerful evidence for the independence of knowledge and skill acquisition. After all, H.M. seems to show that motor learning is retained even when previous knowledge about the activity has been lost. Improvements in skill generally require increased precision of selected actions, which we call motor acuity. Motor acuity may indeed not require propositional knowledge and has direct parallels with perceptual acuity. We argue, however, that reflection on the specifics of H.M.'s case, as well as other research on the nature of skill, indicates that learning to become skilled at a motor task, for example tennis, depends also on knowledge-based selection of the right actions. Thus skilled activity requires both acuity and knowledge, with both increasing with practice. The moral of our discussion ranges beyond debates about motor skill; we argue that it undermines any attempt to draw a distinction between practical and theoretical activities. While we will reject the independence of skill and knowledge, our discussion leaves open several different possible relations between knowledge and skill. Deciding between them is a task to be resolved by future research. PMID:24009571

Knowledge-acquisition tools for medical knowledge-based systems.

PubMed

Lanzola, G; Quaglini, S; Stefanelli, M

1995-03-01

Knowledge-based systems (KBS) have been proposed to solve a large variety of medical problems. A strategic issue for KBS development and maintenance are the efforts required for both knowledge engineers and domain experts. The proposed solution is building efficient knowledge acquisition (KA) tools. This paper presents a set of KA tools we are developing within a European Project called GAMES II. They have been designed after the formulation of an epistemological model of medical reasoning. The main goal is that of developing a computational framework which allows knowledge engineers and domain experts to interact cooperatively in developing a medical KBS. To this aim, a set of reusable software components is highly recommended. Their design was facilitated by the development of a methodology for KBS construction. It views this process as comprising two activities: the tailoring of the epistemological model to the specific medical task to be executed and the subsequent translation of this model into a computational architecture so that the connections between computational structures and their knowledge level counterparts are maintained. The KA tools we developed are illustrated taking examples from the behavior of a KBS we are building for the management of children with acute myeloid leukemia.

An Ada inference engine for expert systems

NASA Technical Reports Server (NTRS)

Lavallee, David B.

1986-01-01

The purpose is to investigate the feasibility of using Ada for rule-based expert systems with real-time performance requirements. This includes exploring the Ada features which give improved performance to expert systems as well as optimizing the tradeoffs or workarounds that the use of Ada may require. A prototype inference engine was built using Ada, and rule firing rates in excess of 500 per second were demonstrated on a single MC68000 processor. The knowledge base uses a directed acyclic graph to represent production lines. The graph allows the use of AND, OR, and NOT logical operators. The inference engine uses a combination of both forward and backward chaining in order to reach goals as quickly as possible. Future efforts will include additional investigation of multiprocessing to improve performance and creating a user interface allowing rule input in an Ada-like syntax. Investigation of multitasking and alternate knowledge base representations will help to analyze some of the performance issues as they relate to larger problems.

On the Automation of the MarkIII Data Analysis System.

NASA Astrophysics Data System (ADS)

Schwegmann, W.; Schuh, H.

1999-03-01

A faster and semiautomatic data analysis is an important contribution to the acceleration of the VLBI procedure. A concept for the automation of one of the most widely used VLBI software packages the MarkIII Data Analysis System was developed. Then, the program PWXCB, which extracts weather and cable calibration data from the station log-files, was automated supplementing the existing Fortran77 program-code. The new program XLOG and its results will be presented. Most of the tasks in the VLBI data analysis are very complex and their automation requires typical knowledge-based techniques. Thus, a knowledge-based system (KBS) for support and guidance of the analyst is being developed using the AI-workbench BABYLON, which is based on methods of artificial intelligence (AI). The advantages of a KBS for the MarkIII Data Analysis System and the required steps to build a KBS will be demonstrated. Examples about the current status of the project will be given, too.

Framing of scientific knowledge as a new category of health care research.

PubMed

Salvador-Carulla, Luis; Fernandez, Ana; Madden, Rosamond; Lukersmith, Sue; Colagiuri, Ruth; Torkfar, Ghazal; Sturmberg, Joachim

2014-12-01

The new area of health system research requires a revision of the taxonomy of scientific knowledge that may facilitate a better understanding and representation of complex health phenomena in research discovery, corroboration and implementation. A position paper by an expert group following and iterative approach. 'Scientific evidence' should be differentiated from 'elicited knowledge' of experts and users, and this latter typology should be described beyond the traditional qualitative framework. Within this context 'framing of scientific knowledge' (FSK) is defined as a group of studies of prior expert knowledge specifically aimed at generating formal scientific frames. To be distinguished from other unstructured frames, FSK must be explicit, standardized, based on the available evidence, agreed by a group of experts and subdued to the principles of commensurability, transparency for corroboration and transferability that characterize scientific research. A preliminary typology of scientific framing studies is presented. This typology includes, among others, health declarations, position papers, expert-based clinical guides, conceptual maps, classifications, expert-driven health atlases and expert-driven studies of costs and burden of illness. This grouping of expert-based studies constitutes a different kind of scientific knowledge and should be clearly differentiated from 'evidence' gathered from experimental and observational studies in health system research. © 2014 John Wiley & Sons, Ltd.

Assessing the impact of modeling limits on intelligent systems

NASA Technical Reports Server (NTRS)

Rouse, William B.; Hammer, John M.

1990-01-01

The knowledge bases underlying intelligent systems are validated. A general conceptual framework is provided for considering the roles in intelligent systems of models of physical, behavioral, and operational phenomena. A methodology is described for identifying limits in particular intelligent systems, and the use of the methodology is illustrated via an experimental evaluation of the pilot-vehicle interface within the Pilot's Associate. The requirements and functionality are outlined for a computer based knowledge engineering environment which would embody the approach advocated and illustrated in earlier discussions. Issues considered include the specific benefits of this functionality, the potential breadth of applicability, and technical feasibility.

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.

Interoperable Data Sharing for Diverse Scientific Disciplines

NASA Astrophysics Data System (ADS)

Hughes, John S.; Crichton, Daniel; Martinez, Santa; Law, Emily; Hardman, Sean

2016-04-01

For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. To capture this shared understanding, we have developed a knowledge representation framework using ontologies and ISO level archive and metadata registry reference models. This framework provides multi-level governance, evolves independent of implementation technologies, and promotes agile development, namely adaptive planning, evolutionary development, early delivery, continuous improvement, and rapid and flexible response to change. The knowledge representation framework is populated through knowledge acquisition from discipline experts. It is also extended to meet specific discipline requirements. The result is a formalized and rigorous knowledge base that addresses data representation, integrity, provenance, context, quantity, and their relationships within the community. The contents of the knowledge base is translated and written to files in appropriate formats to configure system software and services, provide user documentation, validate ingested data, and support data analytics. This presentation will provide an overview of the framework, present the Planetary Data System's PDS4 as a use case that has been adopted by the international planetary science community, describe how the framework is being applied to other disciplines, and share some important lessons learned.

A Working Framework for Enabling International Science Data System Interoperability

NASA Astrophysics Data System (ADS)

Hughes, J. Steven; Hardman, Sean; Crichton, Daniel J.; Martinez, Santa; Law, Emily; Gordon, Mitchell K.

2016-07-01

For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. To capture this shared understanding, we have developed a knowledge representation framework that leverages ISO level reference models for metadata registries and digital archives. This framework provides multi-level governance, evolves independent of the implementation technologies, and promotes agile development, namely adaptive planning, evolutionary development, early delivery, continuous improvement, and rapid and flexible response to change. The knowledge representation is captured in an ontology through a process of knowledge acquisition. Discipline experts in the role of stewards at the common, discipline, and project levels work to design and populate the ontology model. The result is a formal and consistent knowledge base that provides requirements for data representation, integrity, provenance, context, identification, and relationship. The contents of the knowledge base are translated and written to files in suitable formats to configure system software and services, provide user documentation, validate input, and support data analytics. This presentation will provide an overview of the framework, present a use case that has been adopted by an entire science discipline at the international level, and share some important lessons learned.

49 CFR 383.117 - Requirements for passenger endorsement.

Code of Federal Regulations, 2011 CFR

2011-10-01

... COMMERCIAL DRIVER'S LICENSE STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.117... following additional knowledge and skills test requirements. (a) Knowledge test. All applicants for the... procedures not otherwise specified. (b) Skills test. To obtain a passenger endorsement applicable to a...

The Role of Oncology Nurses in Discussing Clinical Trials.

PubMed

Flocke, Susan A; Antognoli, Elizabeth; Daly, Barbara J; Jackson, Brigid; Fulton, Sarah E; Liu, Tasnuva M; Surdam, Jessica; Manne, Sharon; Meropol, Neal J

2017-09-01

To describe oncology nurses' experiences discussing clinical trials with their patients, and to assess barriers to these discussions.
. A qualitative study designed to elicit narratives from oncology nurses. 
. Community- and academic-based oncology clinics throughout the United States.
. 33 oncology nurses involved in direct patient care in community-based and large hospital-based settings. The sample was drawn from members of the Oncology Nursing Society. 
. In-depth interviews were conducted and analyzed using a 
immersion/crystallization approach to identify themes and patterns. The analyses highlight specific issues, examples, and contexts that present challenges to clinical trial discussions with patients.
. Oncology nurses view their roles as patient educators and advocates to be inclusive of discussion of clinical trials. Barriers to such discussions include lack of knowledge and strategies for addressing patients' common misconceptions and uncertainty about the timing of discussions.
. These data indicate that enabling nurses to actively engage patients in discussions of clinical trials requires educational interventions to build self-efficacy and close knowledge gaps. 
. Oncology nurses can play a critical role in advancing cancer care by supporting patients in decision making about clinical trial participation. This will require training and education to build their knowledge, reduce barriers, and increase their self-efficacy to fulfill this responsibility in various clinical settings.

Increasing the automation of a 2D-3D registration system.

PubMed

Varnavas, Andreas; Carrell, Tom; Penney, Graeme

2013-02-01

Routine clinical use of 2D-3D registration algorithms for Image Guided Surgery remains limited. A key aspect for routine clinical use of this technology is its degree of automation, i.e., the amount of necessary knowledgeable interaction between the clinicians and the registration system. Current image-based registration approaches usually require knowledgeable manual interaction during two stages: for initial pose estimation and for verification of produced results. We propose four novel techniques, particularly suited to vertebra-based registration systems, which can significantly automate both of the above stages. Two of these techniques are based upon the intraoperative "insertion" of a virtual fiducial marker into the preoperative data. The remaining two techniques use the final registration similarity value between multiple CT vertebrae and a single fluoroscopy vertebra. The proposed methods were evaluated with data from 31 operations (31 CT scans, 419 fluoroscopy images). Results show these methods can remove the need for manual vertebra identification during initial pose estimation, and were also very effective for result verification, producing a combined true positive rate of 100% and false positive rate equal to zero. This large decrease in required knowledgeable interaction is an important contribution aiming to enable more widespread use of 2D-3D registration technology.

Drift-Free Position Estimation of Periodic or Quasi-Periodic Motion Using Inertial Sensors

PubMed Central

Latt, Win Tun; Veluvolu, Kalyana Chakravarthy; Ang, Wei Tech

2011-01-01

Position sensing with inertial sensors such as accelerometers and gyroscopes usually requires other aided sensors or prior knowledge of motion characteristics to remove position drift resulting from integration of acceleration or velocity so as to obtain accurate position estimation. A method based on analytical integration has previously been developed to obtain accurate position estimate of periodic or quasi-periodic motion from inertial sensors using prior knowledge of the motion but without using aided sensors. In this paper, a new method is proposed which employs linear filtering stage coupled with adaptive filtering stage to remove drift and attenuation. The prior knowledge of the motion the proposed method requires is only approximate band of frequencies of the motion. Existing adaptive filtering methods based on Fourier series such as weighted-frequency Fourier linear combiner (WFLC), and band-limited multiple Fourier linear combiner (BMFLC) are modified to combine with the proposed method. To validate and compare the performance of the proposed method with the method based on analytical integration, simulation study is performed using periodic signals as well as real physiological tremor data, and real-time experiments are conducted using an ADXL-203 accelerometer. Results demonstrate that the performance of the proposed method outperforms the existing analytical integration method. PMID:22163935

Pharmacist Web-Based Training Program on Medication Use in Chronic Kidney Disease Patients: Impact on Knowledge, Skills, and Satisfaction

ERIC Educational Resources Information Center

Legris, Marie-eve; Seguin, Noemie Charbonneau; Desforges, Katherine; Sauve, Patricia; Lord, Anne; Bell, Robert; Berbiche, Djamal; Desrochers, Jean-Francois; Lemieux, Jean-Philippe; Morin-Belanger, Claudia; Paradis, Francois Ste-Marie; Lalonde, Lyne

2011-01-01

Introduction: Chronic kidney disease (CKD) patients are multimorbid elderly at high risk of drug-related problems. A Web-based training program was developed based on a list of significant drug-related problems in CKD patients requiring a pharmaceutical intervention. The objectives were to evaluate the impact of the program on community…

Proposed Principles for Promoting Pre-Service Teacher Transfer of Group-Based Learning to the Classroom: A Discussion Paper

ERIC Educational Resources Information Center

de Jong, Terry; Cullity, Marguerite; Sharp, Sue; Spiers, Sue; Wren, Julia

2010-01-01

The effective "transfer" of knowledge and skills from university to the workplace is of global interest, yet this area of inquiry lacks research. Teacher educators, for example, require information on how to advance pre-service teachers' transfer of group-based learning to the primary school classroom (Scott & Baker, 2003). Group-based learning…

Applying data mining techniques to medical time series: an empirical case study in electroencephalography and stabilometry.

PubMed

Anguera, A; Barreiro, J M; Lara, J A; Lizcano, D

2016-01-01

One of the major challenges in the medical domain today is how to exploit the huge amount of data that this field generates. To do this, approaches are required that are capable of discovering knowledge that is useful for decision making in the medical field. Time series are data types that are common in the medical domain and require specialized analysis techniques and tools, especially if the information of interest to specialists is concentrated within particular time series regions, known as events. This research followed the steps specified by the so-called knowledge discovery in databases (KDD) process to discover knowledge from medical time series derived from stabilometric (396 series) and electroencephalographic (200) patient electronic health records (EHR). The view offered in the paper is based on the experience gathered as part of the VIIP project. Knowledge discovery in medical time series has a number of difficulties and implications that are highlighted by illustrating the application of several techniques that cover the entire KDD process through two case studies. This paper illustrates the application of different knowledge discovery techniques for the purposes of classification within the above domains. The accuracy of this application for the two classes considered in each case is 99.86% and 98.11% for epilepsy diagnosis in the electroencephalography (EEG) domain and 99.4% and 99.1% for early-age sports talent classification in the stabilometry domain. The KDD techniques achieve better results than other traditional neural network-based classification techniques.

Effects of nursing process-based simulation for maternal child emergency nursing care on knowledge, attitude, and skills in clinical nurses.

PubMed

Kim, Sunghee; Shin, Gisoo

2016-02-01

Since previous studies on simulation-based education have been focused on fundamental nursing skills for nursing students in South Korea, there is little research available that focuses on clinical nurses in simulation-based training. Further, there is a paucity of research literature related to the integration of the nursing process into simulation training particularly in the emergency nursing care of high-risk maternal and neonatal patients. The purpose of this study was to identify the effects of nursing process-based simulation on knowledge, attitudes, and skills for maternal and child emergency nursing care in clinical nurses in South Korea. Data were collected from 49 nurses, 25 in the experimental group and 24 in the control group, from August 13 to 14, 2013. This study was an equivalent control group pre- and post-test experimental design to compare the differences in knowledge, attitudes, and skills for maternal and child emergency nursing care between the experimental group and the control group. The experimental group was trained by the nursing process-based simulation training program, while the control group received traditional methods of training for maternal and child emergency nursing care. The experimental group was more likely to improve knowledge, attitudes, and skills required for clinical judgment about maternal and child emergency nursing care than the control group. Among five stages of nursing process in simulation, the experimental group was more likely to improve clinical skills required for nursing diagnosis and nursing evaluation than the control group. These results will provide valuable information on developing nursing process-based simulation training to improve clinical competency in nurses. Further research should be conducted to verify the effectiveness of nursing process-based simulation with more diverse nurse groups on more diverse subjects in the future. Copyright © 2015 Elsevier Ltd. All rights reserved.

Expanding RN Scope of Knowledge-Genetics/Genomics: The New Frontier.

PubMed

Rogers, Margaret A; Lizer, Shannon; Doughty, Andrea; Hayden, Beth; Klein, Colleen J

Introducing a new competency into nursing practice requires the support of nursing leadership. A knowledge survey was used to assess nurses' knowledge following a yearlong genomics education initiative. Findings indicate that nurses benefit from repeated exposure to genetics-related content. Recommendations from this study include development and implementation of strategies that can be used to prepare nurses at all levels for the application of genetics and genomics. Clinical nurses with knowledge of genetics will be able to implement evidence-based interventions to manage acute and chronic illnesses. These nurses will then be able to engage patients more fully, thereby helping them to understand the relationship of genetics to healthy outcomes.

Insight, working through, and practice: the role of procedural knowledge.

PubMed

Rosenblatt, Allan

2004-01-01

A conception of insight is proposed, based on a systems and information-processing framework and using current neuroscience concepts, as an integration of information that results in a new symbolization of experience with a significant change in self-image and a transformation of non-declarative procedural knowledge into declarative knowledge. Since procedural memory and knowledge, seen to include emotional and relationship issues, is slow to change, durable emotional and behavioral change often requires repeated practice, a need not explicitly addressed in standard psychoanalytic technique. Working through is thus seen as also encompassing nondynamic factors. The application of these ideas to therapeutic technique suggests possible therapeutic interventions beyond interpretation. An illustrative clinical vignette is presented.

Artificial Intelligence In Computational Fluid Dynamics

NASA Technical Reports Server (NTRS)

Vogel, Alison Andrews

1991-01-01

Paper compares four first-generation artificial-intelligence (Al) software systems for computational fluid dynamics. Includes: Expert Cooling Fan Design System (EXFAN), PAN AIR Knowledge System (PAKS), grid-adaptation program MITOSIS, and Expert Zonal Grid Generation (EZGrid). Focuses on knowledge-based ("expert") software systems. Analyzes intended tasks, kinds of knowledge possessed, magnitude of effort required to codify knowledge, how quickly constructed, performances, and return on investment. On basis of comparison, concludes Al most successful when applied to well-formulated problems solved by classifying or selecting preenumerated solutions. In contrast, application of Al to poorly understood or poorly formulated problems generally results in long development time and large investment of effort, with no guarantee of success.

Live and Web-based orientations are comparable for a required rotation.

PubMed

Prunuske, Jacob

2010-03-01

Studies show equivalency in knowledge when measured following Web-based learning and live lecture. However, the effectiveness of a Web-based orientation for a required clinical rotation is unknown. Medical students viewed a Web-based orientation and completed a 13-item evaluation before beginning a required 6-week community medicine rotation. Evaluation data from 2007-2008 live orientation sessions were compared to responses from 2008-2009 Web-based orientation sessions. Data were analyzed by two-sample tests of proportion. A total of 169 students completed surveys during the study period--78 following the live and 91 following the Web-based orientation. Response rates were equal in the two groups. The survey tool had a high level of reliability (Cronbach's alpha=0.96). There was no statistical difference in student evaluations for 12 of 13 orientation evaluation items. Live and Web-based formats are comparable for presenting orientation materials to a required clinical rotation. Students felt the purpose of the rotation, educational goals, course structure, and requirements were clearly presented regardless of format. Transition from a live to Web-based format reduced faculty time required to present at rotation orientations.

WE-DE-201-04: Cross Validation of Knowledge-Based Treatment Planning for Prostate LDR Brachytherapy Using Principle Component Analysis

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

Roper, J; Ghavidel, B; Godette, K

Purpose: To validate a knowledge-based algorithm for prostate LDR brachytherapy treatment planning. Methods: A dataset of 100 cases was compiled from an active prostate seed implant service. Cases were randomized into 10 subsets. For each subset, the 90 remaining library cases were registered to a common reference frame and then characterized on a point by point basis using principle component analysis (PCA). Each test case was converted to PCA vectors using the same process and compared with each library case using a Mahalanobis distance to evaluate similarity. Rank order PCA scores were used to select the best-matched library case. Themore » seed arrangement was extracted from the best-matched case and used as a starting point for planning the test case. Any subsequent modifications were recorded that required input from a treatment planner to achieve V100>95%, V150<60%, V200<20%. To simulate operating-room planning constraints, seed activity was held constant, and the seed count could not increase. Results: The computational time required to register test-case contours and evaluate PCA similarity across the library was 10s. Preliminary analysis of 2 subsets shows that 9 of 20 test cases did not require any seed modifications to obtain an acceptable plan. Five test cases required fewer than 10 seed modifications or a grid shift. Another 5 test cases required approximately 20 seed modifications. An acceptable plan was not achieved for 1 outlier, which was substantially larger than its best match. Modifications took between 5s and 6min. Conclusion: A knowledge-based treatment planning algorithm for prostate LDR brachytherapy is being cross validated using 100 prior cases. Preliminary results suggest that for this size library, acceptable plans can be achieved without planner input in about half of the cases while varying amounts of planner input are needed in remaining cases. Computational time and planning time are compatible with clinical practice.« less

Motor-Reducer Sizing through a MATLAB-Based Graphical Technique

ERIC Educational Resources Information Center

Giberti, H.; Cinquemani, S.

2012-01-01

The design of the drive system for an automatic machine and its correct sizing is a very important competence for an electrical or mechatronic engineer. This requires knowledge that crosses the fields of electrical engineering, electronics and mechanics, as well as the skill to choose commercial components based upon their technical documentation.…

40 CFR 63.1366 - Monitoring and inspection requirements.

Code of Federal Regulations, 2011 CFR

2011-07-01

... scenario is implemented based on process knowledge and representative operating data. The procedures used... control scenarios in paragraphs (b)(1)(ii) through (xii) of this section, and are summarized in Table 3 of... also be monitored once a day. The minimum scrubber liquid flow rate or pressure drop shall be based on...

Evaluating a Space-Based Indicator of Surface Ozone-NOx-VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends

EPA Science Inventory

Determining effective strategies for mitigating surface ozone (O3) pollution requires knowledge of the relative ambient concentrations of its precursors, NOx, and VOCs. The space-based tropospheric column ratio of formaldehyde to NO2 (FNR) has been used as an indicator to identif...

Conveying Clinical Reasoning Based on Visual Observation via Eye-Movement Modelling Examples

ERIC Educational Resources Information Center

Jarodzka, Halszka; Balslev, Thomas; Holmqvist, Kenneth; Nystrom, Marcus; Scheiter, Katharina; Gerjets, Peter; Eika, Berit

2012-01-01

Complex perceptual tasks, like clinical reasoning based on visual observations of patients, require not only conceptual knowledge about diagnostic classes but also the skills to visually search for symptoms and interpret these observations. However, medical education so far has focused very little on how visual observation skills can be…

7 Principles for Effective Work-Based Learning

ERIC Educational Resources Information Center

Cahill, Charlotte

2016-01-01

Americans seeking employment often face a conundrum: relevant work experience is a prerequisite for many jobs, but it is difficult to gain the required experience without being in the workplace. Work-based learning--activities that occur in workplaces through which youth and adults gain the knowledge, skills, and experience needed for entry or…

RC-MAPS: Bridging the Comprehension Gap in EAP Reading

ERIC Educational Resources Information Center

Sterzik, Angela Meyer; Fraser, Carol

2012-01-01

In academic environments, reading is assigned not simply to transmit information; students are required to take the information, and based on the task set by the instructor, assess, analyze, and critique it on the basis of personal experiences, prior knowledge, and other readings (Grabe, 2009). Thus text-based comprehension (Kintsch, 1998) alone…

Investigating Learner Affective Performance in Web-Based Learning by Using Entrepreneurship as a Metaphor

ERIC Educational Resources Information Center

Liu, Ming-Chou; Chi, Ming-Hsiao

2012-01-01

In the era of the Internet, factors which influence effective learning in a Web-based learning environment are well worth exploring. In addition to knowledge acquisition and skills training, affect is also an important factor, since successful learning requires excellent affective performance. Thus this study focuses on learners' affective…

The Importance of Leadership and Learning Organizations

DTIC Science & Technology

2013-03-01

qualities that allow a person to make the right decision in any situation.6 Skills are the knowledge and abilities gained to perform the required duties...leader can make improvements to meet changes in the situational environment. Leaders base their knowledge on experiences, education, and insight that they...front of them with the assets available to them. They are able to manage a variety of tasks with different priorities and demands. The Army is re

Accessing and Integrating Data and Knowledge for Biomedical Research

PubMed Central

Burgun, A.; Bodenreider, O.

2008-01-01

Summary Objectives To review the issues that have arisen with the advent of translational research in terms of integration of data and knowledge, and survey current efforts to address these issues. Methods Using examples form the biomedical literature, we identified new trends in biomedical research and their impact on bioinformatics. We analyzed the requirements for effective knowledge repositories and studied issues in the integration of biomedical knowledge. Results New diagnostic and therapeutic approaches based on gene expression patterns have brought about new issues in the statistical analysis of data, and new workflows are needed are needed to support translational research. Interoperable data repositories based on standard annotations, infrastructures and services are needed to support the pooling and meta-analysis of data, as well as their comparison to earlier experiments. High-quality, integrated ontologies and knowledge bases serve as a source of prior knowledge used in combination with traditional data mining techniques and contribute to the development of more effective data analysis strategies. Conclusion As biomedical research evolves from traditional clinical and biological investigations towards omics sciences and translational research, specific needs have emerged, including integrating data collected in research studies with patient clinical data, linking omics knowledge with medical knowledge, modeling the molecular basis of diseases, and developing tools that support in-depth analysis of research data. As such, translational research illustrates the need to bridge the gap between bioinformatics and medical informatics, and opens new avenues for biomedical informatics research. PMID:18660883

The Undergraduate Capstone Course in the Social Sciences: Results from a Regional Survey

ERIC Educational Resources Information Center

Hauhart, Robert C.; Grahe, Jon E.

2010-01-01

Among the common requirements for receipt of a degree in the social sciences is the completion of a senior seminar in which a senior thesis or capstone project is produced. A number of educational goals have been proposed for this requirement: integrating the knowledge base supplied by the regular curriculum, contributing to students' future roles…

Effective Counseling, Empowered Borrowers: An Evidence-Based Policy Agenda for Informed Student Loan Borrowing and Repayment. Research Report

ERIC Educational Resources Information Center

Fernandez, Chris

2016-01-01

To manage their loans effectively, U.S. postsecondary student loan borrowers must make a variety of important decisions that require significant knowledge and financial skills and entail considerable risk. Federal law requires colleges to provide student loan counseling to their federal student loan borrowers, but there is significant room for…

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

ERIC Educational Resources Information Center

Frezzo, Dennis C.; Behrens, John T.; Mislevy, Robert J.

2010-01-01

Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are…

Knowledge-based assistance for science visualization and analysis using large distributed databases

NASA Technical Reports Server (NTRS)

Handley, Thomas H., Jr.; Jacobson, Allan S.; Doyle, Richard J.; Collins, Donald J.

1993-01-01

Within this decade, the growth in complexity of exploratory data analysis and the sheer volume of space data require new and innovative approaches to support science investigators in achieving their research objectives. To date, there have been numerous efforts addressing the individual issues involved in inter-disciplinary, multi-instrument investigations. However, while successful in small scale, these efforts have not proven to be open and scalable. This proposal addresses four areas of significant need: scientific visualization and analysis; science data management; interactions in a distributed, heterogeneous environment; and knowledge-based assistance for these functions. The fundamental innovation embedded with this proposal is the integration of three automation technologies, namely, knowledge-based expert systems, science visualization and science data management. This integration is based on concept called the DataHub. With the DataHub concept, NASA will be able to apply a more complete solution to all nodes of a distributed system. Both computation nodes and interactive nodes will be able to effectively and efficiently use the data services (address, retrieval, update, etc.) with a distributed, interdisciplinary information system in a uniform and standard way. This will allow the science investigators to concentrate on their scientific endeavors, rather than to involve themselves in the intricate technical details of the systems and tools required to accomplish their work. Thus, science investigators need not be programmers. The emphasis will be on the definition and prototyping of system elements with sufficient detail to enable data analysis and interpretation leading to publishable scientific results. In addition, the proposed work includes all the required end-to-end components and interfaces to demonstrate the completed concept.

Knowledge-based assistance for science visualization and analysis using large distributed databases

NASA Technical Reports Server (NTRS)

Handley, Thomas H., Jr.; Jacobson, Allan S.; Doyle, Richard J.; Collins, Donald J.

1992-01-01

Within this decade, the growth in complexity of exploratory data analysis and the sheer volume of space data require new and innovative approaches to support science investigators in achieving their research objectives. To date, there have been numerous efforts addressing the individual issues involved in inter-disciplinary, multi-instrument investigations. However, while successful in small scale, these efforts have not proven to be open and scaleable. This proposal addresses four areas of significant need: scientific visualization and analysis; science data management; interactions in a distributed, heterogeneous environment; and knowledge-based assistance for these functions. The fundamental innovation embedded within this proposal is the integration of three automation technologies, namely, knowledge-based expert systems, science visualization and science data management. This integration is based on the concept called the Data Hub. With the Data Hub concept, NASA will be able to apply a more complete solution to all nodes of a distributed system. Both computation nodes and interactive nodes will be able to effectively and efficiently use the data services (access, retrieval, update, etc.) with a distributed, interdisciplinary information system in a uniform and standard way. This will allow the science investigators to concentrate on their scientific endeavors, rather than to involve themselves in the intricate technical details of the systems and tools required to accomplish their work. Thus, science investigators need not be programmers. The emphasis will be on the definition and prototyping of system elements with sufficient detail to enable data analysis and interpretation leading to publishable scientific results. In addition, the proposed work includes all the required end-to-end components and interfaces to demonstrate the completed concept.

[Artificial intelligence--the knowledge base applied to nephrology].

PubMed

Sancipriano, G P

2005-01-01

The idea that efficacy efficiency, and quality in medicine could not be reached without sorting the huge knowledge of medical and nursing science is very common. Engineers and computer scientists have developed medical software with great prospects for success, but currently these software applications are not so useful in clinical practice. The medical doctor and the trained nurse live the 'information age' in many daily activities, but the main benefits are not so widespread in working activities. Artificial intelligence and, particularly, export systems charm health staff because of their potential. The first part of this paper summarizes the characteristics of 'weak artificial intelligence' and of expert systems important in clinical practice. The second part discusses medical doctors' requirements and the current nephrologic knowledge bases available for artificial intelligence development.

Advances in knowledge-based software engineering

NASA Technical Reports Server (NTRS)

Truszkowski, Walt

1991-01-01

The underlying hypothesis of this work is that a rigorous and comprehensive software reuse methodology can bring about a more effective and efficient utilization of constrained resources in the development of large-scale software systems by both government and industry. It is also believed that correct use of this type of software engineering methodology can significantly contribute to the higher levels of reliability that will be required of future operational systems. An overview and discussion of current research in the development and application of two systems that support a rigorous reuse paradigm are presented: the Knowledge-Based Software Engineering Environment (KBSEE) and the Knowledge Acquisition fo the Preservation of Tradeoffs and Underlying Rationales (KAPTUR) systems. Emphasis is on a presentation of operational scenarios which highlight the major functional capabilities of the two systems.

Model-based diagnostics for Space Station Freedom

NASA Technical Reports Server (NTRS)

Fesq, Lorraine M.; Stephan, Amy; Martin, Eric R.; Lerutte, Marcel G.

1991-01-01

An innovative approach to fault management was recently demonstrated for the NASA LeRC Space Station Freedom (SSF) power system testbed. This project capitalized on research in model-based reasoning, which uses knowledge of a system's behavior to monitor its health. The fault management system (FMS) can isolate failures online, or in a post analysis mode, and requires no knowledge of failure symptoms to perform its diagnostics. An in-house tool called MARPLE was used to develop and run the FMS. MARPLE's capabilities are similar to those available from commercial expert system shells, although MARPLE is designed to build model-based as opposed to rule-based systems. These capabilities include functions for capturing behavioral knowledge, a reasoning engine that implements a model-based technique known as constraint suspension, and a tool for quickly generating new user interfaces. The prototype produced by applying MARPLE to SSF not only demonstrated that model-based reasoning is a valuable diagnostic approach, but it also suggested several new applications of MARPLE, including an integration and testing aid, and a complement to state estimation.

Towards symbiosis in knowledge representation and natural language processing for structuring clinical practice guidelines.

PubMed

Weng, Chunhua; Payne, Philip R O; Velez, Mark; Johnson, Stephen B; Bakken, Suzanne

2014-01-01

The successful adoption by clinicians of evidence-based clinical practice guidelines (CPGs) contained in clinical information systems requires efficient translation of free-text guidelines into computable formats. Natural language processing (NLP) has the potential to improve the efficiency of such translation. However, it is laborious to develop NLP to structure free-text CPGs using existing formal knowledge representations (KR). In response to this challenge, this vision paper discusses the value and feasibility of supporting symbiosis in text-based knowledge acquisition (KA) and KR. We compare two ontologies: (1) an ontology manually created by domain experts for CPG eligibility criteria and (2) an upper-level ontology derived from a semantic pattern-based approach for automatic KA from CPG eligibility criteria text. Then we discuss the strengths and limitations of interweaving KA and NLP for KR purposes and important considerations for achieving the symbiosis of KR and NLP for structuring CPGs to achieve evidence-based clinical practice.

A Standard of Knowledge for the Professional Practice of Toxicology.

PubMed

Hulla, Janis E; Kinter, Lewis B; Kelman, Bruce

2015-08-01

Employers, courts, and the general public judge the credibility of professionals based on credentials such as academic degrees, publications, memberships in professional organizations, board certifications, and professional registrations. However, the relevance and merit of these credentials can be difficult to determine objectively. Board certification can be a reliable indicator of proficiency if the certifying organization demonstrates, through regularly scheduled independent review, that its processes meet established standards and when a certificate holder is required to periodically demonstrate command of a body of knowledge that is essential to current professional practice. We report herein a current Standard of Knowledge in general toxicology compiled from the experience and opinions of 889 certified practicing professional toxicologists. An examination is the most commonly used instrument for testing a certification candidate's command of the body of knowledge. However, an examination-based certification is only creditable when the body of knowledge, to which a certification examination tests, is representative of the current knowledge, skills, and capabilities needed to effectively practice at the professional level. Thus, that body of knowledge must be the current "Standard of Knowledge" for the profession, compiled in a transparent fashion from current practitioners of the profession. This work was conducted toward ensuring the scientific integrity of the products produced by professional toxicologists.

Maintaining consistency between planning hierarchies: Techniques and applications

NASA Technical Reports Server (NTRS)

Zoch, David R.

1987-01-01

In many planning and scheduling environments, it is desirable to be able to view and manipulate plans at different levels of abstraction, allowing the users the option of viewing and manipulating either a very detailed representation of the plan or a high-level more abstract version of the plan. Generating a detailed plan from a more abstract plan requires domain-specific planning/scheduling knowledge; the reverse process of generating a high-level plan from a detailed plan Reverse Plan Maintenance, or RPM) requires having the system remember the actions it took based on its domain-specific knowledge and its reasons for taking those actions. This reverse plan maintenance process is described as implemented in a specific planning and scheduling tool, The Mission Operations Planning Assistant (MOPA), as well as the applications of RPM to other planning and scheduling problems; emphasizing the knowledge that is needed to maintain the correspondence between the different hierarchical planning levels.

Using forum-based competitions to improve sustainability and motivation in higher education GNSS learning - Chances and risks

NASA Astrophysics Data System (ADS)

Mayer, M.

2012-04-01

The learning strategies of students seem often to be economically adapted to framework requirements in order to achieve best possible examination performances, especially. For this reason, teachers often detect surface level learning characteristics (e.g., accepting facts uncritically, isolated fact storage, fact memorisation) within the learning concepts of students. Therefore, knowledge sustainability is often suffering. This is detectable when trying to build on knowledge of earlier lectures or lecture courses. In order to improve the sustainability of geodetic knowledge, case studies were carried out at the Geodetic Institute of the Karlsruhe Institute of Technology (Karlsruhe, Germany) within the lecture course "Introduction into GNSS positioning". The lecture course "Introduction into GNSS positioning" is a compulsory part of the Bachelor study course "Geodesy and Geoinformatics" and also a supplementary module of the Bachelor study course "Geophysics". The lecture course is aiming for transferring basic knowledge and basic principles of Global Navigation Satellite Systems (e.g., GPS). During the winter semesters 2010/11 and 2011/12 ten resp. 15 students visited this compulsory attendance lecture course. In addition to classroom lectures and practical training (e.g., field exercises), a forum-based competition was included and tested using the forum feature of the learning management system ILIAS. According to the Bologna Declaration, a special focus of the innovative competition concept is on competence-related learning. The developed eLearning-related competition concept supports and motivates the students to learn more sustainable. In addition, the students have to be creative and have to deal with GNSS factual knowledge in order to win the competition. Within the presentation, the didactical concept of the enriched blended learning lecture course and the competition-based case study are discussed. The rules of the competition are presented in detail. During the semesters, the motivation and the amount of effort (e.g., time requirement of learning and teaching) were examined regularly. These parameters are going to be discussed as well. Based on the gained experiences, the forum-based sustainability competition has proofed to be an effective tool, which can contribute significantly to an increased sustainability of students' learning. In addition, the developed forum-based competition concept can be easily transferred to other lecture courses, especially focusing on factual knowledge.

Knowledge structures and the acquisition of a complex skill.

PubMed

Day, E A; Arthur, W; Gettman, D

2001-10-01

The purpose of this study was to examine the viability of knowledge structures as an operationalization of learning in the context of a task that required a high degree of skill. Over the course of 3 days, 86 men participated in 9 training sessions and learned a complex video game. At the end of acquisition, participants' knowledge structures were assessed. After a 4-day nonpractice interval, trainees completed tests of skill retention and skill transfer. Findings indicated that the similarity of trainees' knowledge structures to an expert structure was correlated with skill acquisition and was predictive of skill retention and skill transfer. However, the magnitude of these effects was dependent on the method used to derive the expert referent structure. Moreover, knowledge structures mediated the relationship between general cognitive ability and skill-based performance.

Health Seeking Behaviour among Tuberculosis Patients in India: A Systematic Review

PubMed Central

2016-01-01

Introduction The Revised National Tuberculosis Control Programme’s (RNTCP) passive case finding approach strongly influence the health seeking behaviour of patients and the timing of health seeking as well. Aim A systematic review was carried out to understand the health seeking behaviour, related delays and the knowledge and attitude regarding Tuberculosis (TB) and the health services linked with it. Materials and Methods A manual search strategy was adopted using PUBMED and Google Scholar search engines to obtain research papers in the said subject. Of 113 articles obtained by the end of this search process 10 full text articles were finally selected for the purpose of this review. Results Of the 10 studies identified, the results were delineated in 7 thematic areas such as: (1) Knowledge and perception of TB patients regarding TB and health services for TB; (2) Delays in seeking help; (3) Facility based health seeking behaviour; (4) Reasons for not seeking care/Delay in seeking care; (5) Geographical pattern (Rural-Urban) of health seeking; (6) Socio-cultural factors associated with health seeking; and (7) Gender based health seeking behaviour. Conclusion Health seeking behaviour and related delays are of utmost importance in TB care from two important perspectives; firstly TB requires timely treatment and secondly it requires protracted treatment. Required level of knowledge and positive health behaviour helps the patients in taking timely help from appropriate health facility. PMID:27891362

Health Seeking Behaviour among Tuberculosis Patients in India: A Systematic Review.

PubMed

Samal, Janmejaya

2016-10-01

The Revised National Tuberculosis Control Programme's (RNTCP) passive case finding approach strongly influence the health seeking behaviour of patients and the timing of health seeking as well. A systematic review was carried out to understand the health seeking behaviour, related delays and the knowledge and attitude regarding Tuberculosis (TB) and the health services linked with it. A manual search strategy was adopted using PUBMED and Google Scholar search engines to obtain research papers in the said subject. Of 113 articles obtained by the end of this search process 10 full text articles were finally selected for the purpose of this review. Of the 10 studies identified, the results were delineated in 7 thematic areas such as: (1) Knowledge and perception of TB patients regarding TB and health services for TB; (2) Delays in seeking help; (3) Facility based health seeking behaviour; (4) Reasons for not seeking care/Delay in seeking care; (5) Geographical pattern (Rural-Urban) of health seeking; (6) Socio-cultural factors associated with health seeking; and (7) Gender based health seeking behaviour. Health seeking behaviour and related delays are of utmost importance in TB care from two important perspectives; firstly TB requires timely treatment and secondly it requires protracted treatment. Required level of knowledge and positive health behaviour helps the patients in taking timely help from appropriate health facility.

Developing the skills required for evidence-based practice.

PubMed

French, B

1998-01-01

The current health care environment requires practitioners with the skills to find and apply the best currently available evidence for effective health care, to contribute to the development of evidence-based practice protocols, and to evaluate the impact of utilizing validated research findings in practice. Current approaches to teaching research are based mainly on gaining skills by participation in the research process. Emphasis on the requirement for rigour in the process of creating new knowledge is assumed to lead to skill in the process of using research information created by others. This article reflects upon the requirements for evidence-based practice, and the degree to which current approaches to teaching research prepare practitioners who are able to find, evaluate and best use currently available research information. The potential for using the principles of systematic review as a teaching and learning strategy for research is explored, and some of the possible strengths and weakness of this approach are highlighted.

Linking local knowledge with global action: examining the Global Fund to Fight AIDS, Tuberculosis and Malaria through a knowledge system lens.

PubMed Central

van Kerkhoff, Lorrae; Szlezák, Nicole

2006-01-01

New global public health institutions are increasingly emphasizing transparency in decision-making, developing-country ownership of projects and programmes, and merit- and performance-based funding. Such principles imply an institutional response to the challenge of bridging the "know-do gap", by basing decisions explicitly on results, evidence and best practice. Using a knowledge systems framework, we examine how the Global Fund to Fight AIDS, Tuberculosis and Malaria has affected the ways in which knowledge is used in efforts to combat these three diseases. We outline the formal knowledge system embedded in current rules and practices associated with the Global Fund's application process, and give three examples that illustrate the complexity of the knowledge system in action: human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) policy in China; successful applications from Haiti; and responses to changing research on malaria. These examples show that the Global Fund has created strong incentives for knowledge to flow to local implementers, but with little encouragement and few structures for the potentially valuable lessons from implementation to flow back to global best practice or research-based knowledge. The Global Fund could play an influential role in fostering much-needed learning from implementation. We suggest that three initial steps are required to start this process: acknowledging shared responsibility for learning across the knowledge system; analysing the Global Fund's existing data (and refining data collection over time); and supporting recipients and technical partners to invest resources in linking implementation with best practice and research. PMID:16917650

Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts

PubMed Central

Hongsermeier, Tonya; Wright, Adam; Lewis, Janet; Bell, Douglas S; Middleton, Blackford

2013-01-01

Objective To identify key principles for establishing a national clinical decision support (CDS) knowledge sharing framework. Materials and methods As part of an initiative by the US Office of the National Coordinator for Health IT (ONC) to establish a framework for national CDS knowledge sharing, key stakeholders were identified. Stakeholders' viewpoints were obtained through surveys and in-depth interviews, and findings and relevant insights were summarized. Based on these insights, key principles were formulated for establishing a national CDS knowledge sharing framework. Results Nineteen key stakeholders were recruited, including six executives from electronic health record system vendors, seven executives from knowledge content producers, three executives from healthcare provider organizations, and three additional experts in clinical informatics. Based on these stakeholders' insights, five key principles were identified for effectively sharing CDS knowledge nationally. These principles are (1) prioritize and support the creation and maintenance of a national CDS knowledge sharing framework; (2) facilitate the development of high-value content and tooling, preferably in an open-source manner; (3) accelerate the development or licensing of required, pragmatic standards; (4) acknowledge and address medicolegal liability concerns; and (5) establish a self-sustaining business model. Discussion Based on the principles identified, a roadmap for national CDS knowledge sharing was developed through the ONC's Advancing CDS initiative. Conclusion The study findings may serve as a useful guide for ongoing activities by the ONC and others to establish a national framework for sharing CDS knowledge and improving clinical care. PMID:22865671

Learning from Simple Ebooks, Online Cases or Classroom Teaching When Acquiring Complex Knowledge. A Randomized Controlled Trial in Respiratory Physiology and Pulmonology

PubMed Central

Worm, Bjarne Skjødt

2013-01-01

Background and Aims E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. Methods 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. Results For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). Conclusions E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method. PMID:24039917

Learning from simple ebooks, online cases or classroom teaching when acquiring complex knowledge. A randomized controlled trial in respiratory physiology and pulmonology.

PubMed

Worm, Bjarne Skjødt

2013-01-01

E-learning is developing fast because of the rapid increased use of smartphones, tablets and portable computers. We might not think of it as e-learning, but today many new e-books are in fact very complex electronic teaching platforms. It is generally accepted that e-learning is as effective as classroom teaching methods, but little is known about its value in relaying contents of different levels of complexity to students. We set out to investigate e-learning effects on simple recall and complex problem-solving compared to classroom teaching. 63 nurses specializing in anesthesiology were evenly randomized into three groups. They were given internet-based knowledge tests before and after attending a teaching module about respiratory physiology and pulmonology. The three groups was either an e-learning group with eBook teaching material, an e-learning group with case-based teaching or a group with face-to-face case-based classroom teaching. After the module the students were required to answer a post-test. Time spent and the number of logged into the system was also measured. For simple recall, all methods were equally effective. For problem-solving, the eCase group achieved a comparable knowledge level to classroom teaching, while textbook learning was inferior to both (p<0.01). The textbook group also spent the least amount of time on acquiring knowledge (33 minutes, p<0.001), while the eCase group spent significantly more time on the subject (53 minutes, p<0.001) and logged into the system significantly more (2.8 vs 1.6, p<0.001). E-learning based cases are an effective tool for teaching complex knowledge and problem-solving ability, but future studies using higher-level e-learning are encouraged.Simple recall skills, however, do not require any particular learning method.

Sustainability of knowledge implementation in a low- and middle- income context: Experiences from a facilitation project in Vietnam targeting maternal and neonatal health

PubMed Central

Bergström, Anna; Hoa, Dinh Thi Phuong; Nga, Nguyen Thu; Eldh, Ann Catrine

2017-01-01

Background In a previous trial in Vietnam, a facilitation strategy to secure evidence-based practice in primary care resulted in reduced neonatal mortality over a period of three years. While little is known as to what ensures sustainability in the implementation of community-based strategies, the aim of this study was to investigate factors promoting or hindering implementation, and sustainability of knowledge implementation strategies, by means of the former Neonatal Knowledge Into Practice (NeoKIP) trial. Methods In 2014 we targeted all levels in the Vietnamese healthcare system: six individual interviews with representatives at national, provincial and district levels, and six focus group discussions with representatives at the commune level. The interviews were transcribed verbatim, translated to English, and analysed using inductive and deductive thematic analysis. Results To achieve successful implementation and sustained effect of community-based knowledge implementation strategies, engagement of leaders and key stakeholders at all levels of the healthcare system is vital–prior to, during and after a project. Implementation and sustainability require thorough needs assessment, tailoring of the intervention, and consideration of how to attain and manage funds. The NeoKIP trial was characterised by a high degree of engagement at the primary healthcare system level. Further, three years post trial, maternal and neonatal care was still high on the agenda for healthcare workers and leaders, even though primary aspects such as stakeholder engagement at all levels, and funding had been incomplete or lacking. Conclusions The current study illustrates factors to support successful implementation and sustain effects of community-based strategies in projects in low- and middle-income settings; some but not all factors were represented during the post-NeoKIP era. Most importantly, trials in this and similar contexts require deliberate management throughout and beyond the project lifetime, and engagement of key stakeholders, in order to promote and sustain knowledge implementation. PMID:28806744

Blackboard architecture for medical image interpretation

NASA Astrophysics Data System (ADS)

Davis, Darryl N.; Taylor, Christopher J.

1991-06-01

There is a growing interest in using sophisticated knowledge-based systems for biomedical image interpretation. We present a principled attempt to use artificial intelligence methodologies in interpreting lateral skull x-ray images. Such radiographs are routinely used in cephalometric analysis to provide quantitative measurements useful to clinical orthodontists. Manual and interactive methods of analysis are known to be error prone and previous attempts to automate this analysis typically fail to capture the expertise and adaptability required to cope with the variability in biological structure and image quality. An integrated model-based system has been developed which makes use of a blackboard architecture and multiple knowledge sources. A model definition interface allows quantitative models, of feature appearance and location, to be built from examples as well as more qualitative modelling constructs. Visual task definition and blackboard control modules allow task-specific knowledge sources to act on information available to the blackboard in a hypothesise and test reasoning cycle. Further knowledge-based modules include object selection, location hypothesis, intelligent segmentation, and constraint propagation systems. Alternative solutions to given tasks are permitted.

Space technology, sustainable development and community applications: Internet as a facilitator

NASA Astrophysics Data System (ADS)

Peter, Nicolas; Afrin, Nadia; Goh, Gérardine; Chester, Ed

2006-07-01

Among other approaches, space technologies are currently being deployed for disaster management, environmental monitoring, urban planning, health applications, communications, etc. Although space-based applications have tremendous potential for socioeconomic development, they are primarily technology driven and the requirements from the end-users (i.e. the development community) are rarely taken into consideration during the initial development stages. This communication gap between the "space" and "development" communities can be bridged with the help of the web-based knowledge sharing portal focused on space applications for development. This online community uses the development gateway foundation's sophisticated content management system. It is modeled after the development gateway's knowledge sharing portals ( http://topics.developmentgateway.org) and draws from their expertise in knowledge management, partnership building and marketing. These types of portal are known to facilitate broad-based partnerships across sectors, regions and the various stakeholders but also to facilitate North-South and South-South cooperation. This paper describes the initiative "Space for Development" ( http://topics.developmentgateway.org/space) started in 2004 which aims to demonstrate how such a web-based portal can be structured to facilitate knowledge sharing in order to bridge the gap between the "space" and "development" communities in an innovative and global manner.

[The Role of Nursing Education in the Advancement of the Nursing Profession].

PubMed

Chang Yeh, Mei

2017-02-01

The present article discusses the role of nursing education in the advancement of the nursing profession in the context of the three facets of knowledge: generation, dissemination, and application. Nursing is an applied science and the application of knowledge in practice is the ultimate goal of the nursing profession. The reform of the healthcare delivery model requires that nurses acquire and utilize evidence-based clinical knowledge, critical thinking, effective communication, and team collaboration skills in order to ensure the quality of patient care and safety. Therefore, baccalaureate education has become the minimal requirement for pre-licensure nursing education. Schools of nursing are responsible to cultivate competent nurses to respond to the demands on the nursing workforce from the healthcare system. Attaining a master's education in nursing helps cultivate Advanced Practice Registered Nurses (APRNs) to further expand the roles and functions of the nursing profession in order to promote the quality of care in clinical practice. Nursing faculty and scholars of higher education institutions generate nursing knowledge and develop professional scholarship through research. Attaining a doctoral education in nursing cultivates faculties and scholars who will continually generate and disseminate nursing knowledge into the future.

The Spacecraft Materials Selector: An Artificial Intelligence System for Preliminary Design Trade Studies, Materials Assessments, and Estimates of Environments Present

NASA Technical Reports Server (NTRS)

Pippin, H. G.; Woll, S. L. B.

2000-01-01

Institutions need ways to retain valuable information even as experienced individuals leave an organization. Modern electronic systems have enough capacity to retain large quantities of information that can mitigate the loss of experience. Performance information for long-term space applications is relatively scarce and specific information (typically held by a few individuals within a single project) is often rather narrowly distributed. Spacecraft operate under severe conditions and the consequences of hardware and/or system failures, in terms of cost, loss of information, and time required to replace the loss, are extreme. These risk factors place a premium on appropriate choice of materials and components for space applications. An expert system is a very cost-effective method for sharing valuable and scarce information about spacecraft performance. Boeing has an artificial intelligence software package, called the Boeing Expert System Tool (BEST), to construct and operate knowledge bases to selectively recall and distribute information about specific subjects. A specific knowledge base to evaluate the on-orbit performance of selected materials on spacecraft has been developed under contract to the NASA SEE program. The performance capabilities of the Spacecraft Materials Selector (SMS) knowledge base are described. The knowledge base is a backward-chaining, rule-based system. The user answers a sequence of questions, and the expert system provides estimates of optical and mechanical performance of selected materials under specific environmental conditions. The initial operating capability of the system will include data for Kapton, silverized Teflon, selected paints, silicone-based materials, and certain metals. For situations where a mission profile (launch date, orbital parameters, mission duration, spacecraft orientation) is not precisely defined, the knowledge base still attempts to provide qualitative observations about materials performance and likely exposures. Prior to the NASA contract, a knowledge base, the Spacecraft Environments Assistant (SEA,) was initially developed by Boeing to estimate the environmental factors important for a specific spacecraft mission profile. The NASA SEE program has funded specific enhancements to the capability of this knowledge base. The SEA qualitatively identifies over 25 environmental factors that may influence the performance of a spacecraft during its operational lifetime. For cases where sufficiently detailed answers are provided to questions asked by the knowledge base, atomic oxygen fluence levels, proton and/or electron fluence and dose levels, and solar exposure hours are calculated. The SMS knowledge base incorporates the previously developed SEA knowledge base. A case history for previous flight experiment will be shown as an example, and capabilities and limitations of the system will be discussed.

49 CFR 383.110 - General requirement.

Code of Federal Regulations, 2011 CFR

2011-10-01

... STANDARDS; REQUIREMENTS AND PENALTIES Required Knowledge and Skills § 383.110 General requirement. All drivers of CMVs must have the knowledge and skills necessary to operate a CMV safely as contained in this subpart. The specific types of items that a State must include in the knowledge and skills tests that it...

The effect of an educational program for vascular access care on nurses' knowledge at dialysis centers in Khartoum State, Sudan.

PubMed

Yousif, Kalthoum Ibrahim; Abu-Aisha, Hasan; Abboud, Omar Ibrahim

2017-01-01

End-stage renal disease is a worldwide problem that requires highly skilled nursing care. Hemodialysis (HD) is a corner-stone procedure in the management of most patients who require renal replacement therapy. Adequate vascular access is essential for the successful use of HD. Appropriate knowledge in taking care of vascular access is essential for minimizing complications and accurately recognizing vascular access-related problems. This study was to evaluate the effect of an educational program for vascular access care on nurses' knowledge at nine dialysis centers in Khartoum State. This was a Quasi experimental study (pre-and post-test for the same group). Sixty-one nurses working in these HD centers were chosen by simple random sampling method. A structured face-to-face interview questionnaire based on the Kidney Dialysis Outcome Quality Initiative (K/DOQI) clinical practice guidelines for vascular access care was used. Instrument validity was determined through content validity by a panel of experts. Reliability of the instrument was tested by a pilot study to test the knowledge scores for 15 nurses. The Pearson correlation coefficient obtained was (r = 0.82). Data collection was taken before and after the educational intervention. A follow-up test was performed three month later, using the same data collection tools. Twenty-two individual variables assessing the knowledge levels in aspects related to the six K/DOQI guidelines showed improvement in all scores of the nurses' knowledge after the educational intervention; and the differences from the preeducational scores were statistically significant (P < 0.001). The study showed that a structured educational program based on the K/DOQI clinical practice guidelines had a significant impact on the dialysis nurses knowledge in caring for vascular access in HD patients. The knowledge level attained was maintained for at least three months after the educational intervention.

Combining elements of information fusion and knowledge-based systems to support situation analysis

NASA Astrophysics Data System (ADS)

Roy, Jean

2006-04-01

Situation awareness has emerged as an important concept in military and public security environments. Situation analysis is defined as a process, the examination of a situation, its elements, and their relations, to provide and maintain a product, i.e., a state of situation awareness for the decision maker(s). It is well established that information fusion, defined as the process of utilizing one or more information sources over time to assemble a representation of aspects of interest in an environment, is a key enabler to meeting the demanding requirements of situation analysis. However, although information fusion is important, developing and adopting a knowledge-centric view of situation analysis should provide a more holistic perspective of this process. This is based on the notion that awareness ultimately has to do with having knowledge of something. Moreover, not all of the situation elements and relationships of interest are directly observable. Those aspects of interest that cannot be observed must be inferred, i.e., derived as a conclusion from facts or premises, or by reasoning from evidence. This paper discusses aspects of knowledge, and how it can be acquired from experts, formally represented and stored in knowledge bases to be exploited by computer programs, and validated. Knowledge engineering is reviewed, with emphasis given to cognitive and ontological engineering. Facets of reasoning are discussed, along with inferencing methods that can be used in computer applications. Finally, combining elements of information fusion and knowledge-based systems, an overall approach and framework for the building of situation analysis support systems is presented.

Knowledge Driven Variable Selection (KDVS) – a new approach to enrichment analysis of gene signatures obtained from high–throughput data

PubMed Central

2013-01-01

Background High–throughput (HT) technologies provide huge amount of gene expression data that can be used to identify biomarkers useful in the clinical practice. The most frequently used approaches first select a set of genes (i.e. gene signature) able to characterize differences between two or more phenotypical conditions, and then provide a functional assessment of the selected genes with an a posteriori enrichment analysis, based on biological knowledge. However, this approach comes with some drawbacks. First, gene selection procedure often requires tunable parameters that affect the outcome, typically producing many false hits. Second, a posteriori enrichment analysis is based on mapping between biological concepts and gene expression measurements, which is hard to compute because of constant changes in biological knowledge and genome analysis. Third, such mapping is typically used in the assessment of the coverage of gene signature by biological concepts, that is either score–based or requires tunable parameters as well, limiting its power. Results We present Knowledge Driven Variable Selection (KDVS), a framework that uses a priori biological knowledge in HT data analysis. The expression data matrix is transformed, according to prior knowledge, into smaller matrices, easier to analyze and to interpret from both computational and biological viewpoints. Therefore KDVS, unlike most approaches, does not exclude a priori any function or process potentially relevant for the biological question under investigation. Differently from the standard approach where gene selection and functional assessment are applied independently, KDVS embeds these two steps into a unified statistical framework, decreasing the variability derived from the threshold–dependent selection, the mapping to the biological concepts, and the signature coverage. We present three case studies to assess the usefulness of the method. Conclusions We showed that KDVS not only enables the selection of known biological functionalities with accuracy, but also identification of new ones. An efficient implementation of KDVS was devised to obtain results in a fast and robust way. Computing time is drastically reduced by the effective use of distributed resources. Finally, integrated visualization techniques immediately increase the interpretability of results. Overall, KDVS approach can be considered as a viable alternative to enrichment–based approaches. PMID:23302187

46 CFR 11.713 - Requirements for maintaining current knowledge of waters to be navigated.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 46 Shipping 1 2010-10-01 2010-10-01 false Requirements for maintaining current knowledge of waters... § 11.713 Requirements for maintaining current knowledge of waters to be navigated. (a) If a first class... current knowledge of the route. Persons using this method of re-familiarization shall certify, when...

A Performance-Based Training Qualification Guide/Checklist Developed for Reactor Operators at the High Flux Beam Reactor at Brookhaven National Laboratory.

ERIC Educational Resources Information Center

McNair, Robert C.

A Performance-Based Training (PBT) Qualification Guide/Checklist was developed that would enable a trainee to attain the skills, knowledge, and attitude required to operate the High Flux Beam Reactor at Brookhaven National Laboratory. Design of this guide/checklist was based on the Instructional System Design Model. The needs analysis identified…

Inquiry-Based Science Education Competencies of Primary School Teachers: A Literature Study and Critical Review of the American National Science Education Standards

ERIC Educational Resources Information Center

Alake-Tuenter, Ester; Biemans, Harm J. A.; Tobi, Hilde; Wals, Arjen E. J.; Oosterheert, Ida; Mulder, Martin

2012-01-01

Inquiry-based science education is an important innovation. Researchers and teachers consider it to be stimulating for pupils' application of research skills, construction of meaning and acquiring scientific knowledge. However, there is ambiguity as to what competencies are required to teach inquiry-based science. Our purpose is to develop a…

Sicily statement on evidence-based practice

PubMed Central

Dawes, Martin; Summerskill, William; Glasziou, Paul; Cartabellotta, Antonino; Martin, Janet; Hopayian, Kevork; Porzsolt, Franz; Burls, Amanda; Osborne, James

2005-01-01

Background A variety of definitions of evidence-based practice (EBP) exist. However, definitions are in themselves insufficient to explain the underlying processes of EBP and to differentiate between an evidence-based process and evidence-based outcome. There is a need for a clear statement of what Evidence-Based Practice (EBP) means, a description of the skills required to practise in an evidence-based manner and a curriculum that outlines the minimum requirements for training health professionals in EBP. This consensus statement is based on current literature and incorporating the experience of delegates attending the 2003 Conference of Evidence-Based Health Care Teachers and Developers ("Signposting the future of EBHC"). Discussion Evidence-Based Practice has evolved in both scope and definition. Evidence-Based Practice (EBP) requires that decisions about health care are based on the best available, current, valid and relevant evidence. These decisions should be made by those receiving care, informed by the tacit and explicit knowledge of those providing care, within the context of available resources. Health care professionals must be able to gain, assess, apply and integrate new knowledge and have the ability to adapt to changing circumstances throughout their professional life. Curricula to deliver these aptitudes need to be grounded in the five-step model of EBP, and informed by ongoing research. Core assessment tools for each of the steps should continue to be developed, validated, and made freely available. Summary All health care professionals need to understand the principles of EBP, recognise EBP in action, implement evidence-based policies, and have a critical attitude to their own practice and to evidence. Without these skills, professionals and organisations will find it difficult to provide 'best practice'. PMID:15634359

Pay It Forward: High School Video-based Instruction Can Disseminate CPR Knowledge in Priority Neighborhoods

PubMed Central

Han, Josiah; Cano, Alejandra; Ramirez, Victor; Morales, Gabriel; Campbell, Teri L.; Hoek, Terry Vanden

2018-01-01

Introduction The implementation of creative new strategies to increase layperson cardiopulmonary resuscitation (CPR) and defibrillation may improve resuscitation in priority populations. As more communities implement laws requiring CPR training in high schools, there is potential for a multiplier effect and reach into priority communities with low bystander-CPR rates. Methods We investigated the feasibility, knowledge acquisition, and dissemination of a high school-centered, CPR video self-instruction program with a “pay-it-forward” component in a low-income, urban, predominantly Black neighborhood in Chicago, Illinois with historically low bystander-CPR rates. Ninth and tenth graders followed a video self-instruction kit in a classroom setting to learn CPR. As homework, students were required to use the training kit to “pay it forward” and teach CPR to their friends and family. We administered pre- and post-intervention knowledge surveys to measure knowledge acquisition among classroom and “pay-it-forward” participants. Results Seventy-one classroom participants trained 347 of their friends and family, for an average of 4.9 additional persons trained per kit. Classroom CPR knowledge survey scores increased from 58% to 93% (p < 0.0001). The pay-it-forward cohort saw an increase from 58% to 82% (p < 0.0001). Conclusion A high school-centered, CPR educational intervention with a “pay-it-forward” component can disseminate CPR knowledge beyond the classroom. Because schools are centrally-organized settings to which all children and their families have access, school-based interventions allow for a broad reach that encompasses all segments of the population and have potential to decrease disparities in bystander CPR provision. PMID:29560076

Mechanical Transformation of Task Heuristics into Operational Procedures

DTIC Science & Technology

1981-04-14

Introduction A central theme of recent research in artificial intelligence is that *Intelligent task performance requires large amounts of knowledge...PLAY P1 C4] (. (LEADING (QSO)) (OR (CAN-LEAO- HEARrS (gSO)J (mEg (SUIT-OF C3) H])] C-) (FOLLOWING (QSO)) (OR [VOID (OSO) (SUIT-LED)3 [IN-SUIT C3 (SUIT...Production rules as a representation for a knowledge based consultation system. Artificial Intelligence 8:15-45, Spring, 1977. [Davis 77b] R. Davis

Analysis, Simulation, and Verification of Knowledge-Based, Rule-Based, and Expert Systems

NASA Technical Reports Server (NTRS)

Hinchey, Mike; Rash, James; Erickson, John; Gracanin, Denis; Rouff, Chris

2010-01-01

Mathematically sound techniques are used to view a knowledge-based system (KBS) as a set of processes executing in parallel and being enabled in response to specific rules being fired. The set of processes can be manipulated, examined, analyzed, and used in a simulation. The tool that embodies this technology may warn developers of errors in their rules, but may also highlight rules (or sets of rules) in the system that are underspecified (or overspecified) and need to be corrected for the KBS to operate as intended. The rules embodied in a KBS specify the allowed situations, events, and/or results of the system they describe. In that sense, they provide a very abstract specification of a system. The system is implemented through the combination of the system specification together with an appropriate inference engine, independent of the algorithm used in that inference engine. Viewing the rule base as a major component of the specification, and choosing an appropriate specification notation to represent it, reveals how additional power can be derived from an approach to the knowledge-base system that involves analysis, simulation, and verification. This innovative approach requires no special knowledge of the rules, and allows a general approach where standardized analysis, verification, simulation, and model checking techniques can be applied to the KBS.

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.

Design of a diagnostic encyclopaedia using AIDA.

PubMed

van Ginneken, A M; Smeulders, A W; Jansen, W

1987-01-01

Diagnostic Encyclopaedia Workstation (DEW) is the name of a digital encyclopaedia constructed to contain reference knowledge with respect to the pathology of the ovary. Comparing DEW with the common sources of reference knowledge (i.e. books) leads to the following advantages of DEW: it contains more verbal knowledge, pictures and case histories, and it offers information adjusted to the needs of the user. Based on an analysis of the structure of this reference knowledge we have chosen AIDA to develop a relational database and we use a video-disc player to contain the pictorial part of the database. The system consists of a database input version and a read-only run version. The design of the database input version is discussed. Reference knowledge for ovary pathology requires 1-3 Mbytes of memory. At present 15% of this amount is available. The design of the run version is based on an analysis of which information must necessarily be specified to the system by the user to access a desired item of information. Finally, the use of AIDA in constructing DEW is evaluated.

Introduction of knowledge bases in patient's data management system: role of the user interface.

PubMed

Chambrin, M C; Ravaux, P; Jaborska, A; Beugnet, C; Lestavel, P; Chopin, C; Boniface, M

1995-02-01

As the number of signals and data to be handled grows in intensive care unit, it is necessary to design more powerful computing systems that integrate and summarize all this information. The manual input of data as e.g. clinical signs and drug prescription and the synthetic representation of these data requires an ever more sophisticated user interface. The introduction of knowledge bases in the data management allows to conceive contextual interfaces. The objective of this paper is to show the importance of the design of the user interface, in the daily use of clinical information system. Then we describe a methodology that uses the man-machine interaction to capture the clinician knowledge during the clinical practice. The different steps are the audit of the user's actions, the elaboration of statistic models allowing the definition of new knowledge, and the validation that is performed before complete integration. A part of this knowledge can be used to improve the user interface. Finally, we describe the implementation of these concepts on a UNIX platform using OSF/MOTIF graphical interface.

Knowledge-based approach to system integration

NASA Technical Reports Server (NTRS)

Blokland, W.; Krishnamurthy, C.; Biegl, C.; Sztipanovits, J.

1988-01-01

To solve complex problems one can often use the decomposition principle. However, a problem is seldom decomposable into completely independent subproblems. System integration deals with problem of resolving the interdependencies and the integration of the subsolutions. A natural method of decomposition is the hierarchical one. High-level specifications are broken down into lower level specifications until they can be transformed into solutions relatively easily. By automating the hierarchical decomposition and solution generation an integrated system is obtained in which the declaration of high level specifications is enough to solve the problem. We offer a knowledge-based approach to integrate the development and building of control systems. The process modeling is supported by using graphic editors. The user selects and connects icons that represent subprocesses and might refer to prewritten programs. The graphical editor assists the user in selecting parameters for each subprocess and allows the testing of a specific configuration. Next, from the definitions created by the graphical editor, the actual control program is built. Fault-diagnosis routines are generated automatically as well. Since the user is not required to write program code and knowledge about the process is present in the development system, the user is not required to have expertise in many fields.

Training Knowledge Bots for Physics-Based Simulations Using Artificial Neural Networks

NASA Technical Reports Server (NTRS)

Samareh, Jamshid A.; Wong, Jay Ming

2014-01-01

Millions of complex physics-based simulations are required for design of an aerospace vehicle. These simulations are usually performed by highly trained and skilled analysts, who execute, monitor, and steer each simulation. Analysts rely heavily on their broad experience that may have taken 20-30 years to accumulate. In addition, the simulation software is complex in nature, requiring significant computational resources. Simulations of system of systems become even more complex and are beyond human capacity to effectively learn their behavior. IBM has developed machines that can learn and compete successfully with a chess grandmaster and most successful jeopardy contestants. These machines are capable of learning some complex problems much faster than humans can learn. In this paper, we propose using artificial neural network to train knowledge bots to identify the idiosyncrasies of simulation software and recognize patterns that can lead to successful simulations. We examine the use of knowledge bots for applications of computational fluid dynamics (CFD), trajectory analysis, commercial finite-element analysis software, and slosh propellant dynamics. We will show that machine learning algorithms can be used to learn the idiosyncrasies of computational simulations and identify regions of instability without including any additional information about their mathematical form or applied discretization approaches.

Knowledge of first aid skills among students of a medical college in mangalore city of South India.

PubMed

Joseph, N; Kumar, Gs; Babu, Ypr; Nelliyanil, M; Bhaskaran, U

2014-03-01

The adequate knowledge required for handling an emergency without hospital setting at the site of the accident or emergency may not be sufficient as most medical schools do not have formal first aid training in the teaching curriculum. The aim of this study is to assess the level of knowledge of medical students in providing first aid care. This cross-sectional study was conducted during May 2011 among 152 medical students. Data was collected using a self-administered questionnaire. Based on the scores obtained in each condition requiring first aid, the overall knowledge was graded as good, moderate and poor. Only 11.2% (17/152) of the total student participants had previous exposure to first aid training. Good knowledge about first aid was observed in 13.8% (21/152), moderate knowledge in 68.4% (104/152) and poor knowledge in 17.8% (27/152) participants. Analysis of knowledge about first aid management in select conditions found that 21% (32/152) had poor knowledge regarding first aid management for shock and for gastro esophageal reflux disease and 20.4% (31/152) for epistaxis and foreign body in eyes. All students felt that first aid skills need to be taught from the school level onwards and all of them were willing to enroll in any formal first aid training sessions. The level of knowledge about first aid was not good among majority of the students. The study also identified the key areas in which first aid knowledge was lacking. There is thus a need for formal first aid training to be introduced in the medical curriculum.

Co-Regulation and Knowledge Construction in an Online Synchronous Problem Based Learning Setting

ERIC Educational Resources Information Center

Lee, Lila; Lajoie, Susanne P.; Poitras, Eric G.; Nkangu, Miriam; Doleck, Tenzin

2017-01-01

Learning to monitor and regulate one's learning in an academic setting is a task that all students must engage in. Learning in "group" situations requires both self- and co-regulation. This research examines a case study of a small group of medical student interactions during an on-line problem based learning activity (PBL) where…

Is There Space for the Objective Force?

DTIC Science & Technology

2003-04-07

force through the combination of precision weapons and knowledge-based warfare. Army forces will survive through information dominance , provided by a...Objective Forces. Space-based systems will be foundational building blocks for the Objective Force to achieve information dominance and satellite...communications required for information dominance across a distributed battlefield? Second, what exists to provide the Objective Force information

Automatic Domain Adaptation of Word Sense Disambiguation Based on Sublanguage Semantic Schemata Applied to Clinical Narrative

ERIC Educational Resources Information Center

Patterson, Olga

2012-01-01

Domain adaptation of natural language processing systems is challenging because it requires human expertise. While manual effort is effective in creating a high quality knowledge base, it is expensive and time consuming. Clinical text adds another layer of complexity to the task due to privacy and confidentiality restrictions that hinder the…

Training Australian General Practitioners in Rural Public Health: Impact, Desirability and Adaptability of Hybrid Problem-Based Learning

ERIC Educational Resources Information Center

Gladman, Justin; Perkins, David

2013-01-01

Context and Objective: Australian rural general practitioners (GPs) require public health knowledge. This study explored the suitability of teaching complex public health issues related to Aboriginal health by way of a hybrid problem-based learning (PBL) model within an intensive training retreat for GP registrars, when numerous trainees have no…

Impact of Diagnosticity on the Adequacy of Models for Cognitive Diagnosis under a Linear Attribute Structure: A Simulation Study

ERIC Educational Resources Information Center

de La Torre, Jimmy; Karelitz, Tzur M.

2009-01-01

Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure…

A Real-Life Case Study of Audit Interactions--Resolving Messy, Complex Problems

ERIC Educational Resources Information Center

Beattie, Vivien; Fearnley, Stella; Hines, Tony

2012-01-01

Real-life accounting and auditing problems are often complex and messy, requiring the synthesis of technical knowledge in addition to the application of generic skills. To help students acquire the necessary skills to deal with these problems effectively, educators have called for the use of case-based methods. Cases based on real situations (such…

Evaluating the remote sensing and inventory-based estimation of biomass in the western Carpathians

Treesearch

Magdalena Main-Knorn; Gretchen G. Moisen; Sean P. Healey; William S. Keeton; Elizabeth A. Freeman; Patrick Hostert

2011-01-01

Understanding the potential of forest ecosystems as global carbon sinks requires a thorough knowledge of forest carbon dynamics, including both sequestration and fluxes among multiple pools. The accurate quantification of biomass is important to better understand forest productivity and carbon cycling dynamics. Stand-based inventories (SBIs) are widely used for...

Knowledge-light adaptation approaches in case-based reasoning for radiotherapy treatment planning.

PubMed

Petrovic, Sanja; Khussainova, Gulmira; Jagannathan, Rupa

2016-03-01

Radiotherapy treatment planning aims at delivering a sufficient radiation dose to cancerous tumour cells while sparing healthy organs in the tumour-surrounding area. It is a time-consuming trial-and-error process that requires the expertise of a group of medical experts including oncologists and medical physicists and can take from 2 to 3h to a few days. Our objective is to improve the performance of our previously built case-based reasoning (CBR) system for brain tumour radiotherapy treatment planning. In this system, a treatment plan for a new patient is retrieved from a case base containing patient cases treated in the past and their treatment plans. However, this system does not perform any adaptation, which is needed to account for any difference between the new and retrieved cases. Generally, the adaptation phase is considered to be intrinsically knowledge-intensive and domain-dependent. Therefore, an adaptation often requires a large amount of domain-specific knowledge, which can be difficult to acquire and often is not readily available. In this study, we investigate approaches to adaptation that do not require much domain knowledge, referred to as knowledge-light adaptation. We developed two adaptation approaches: adaptation based on machine-learning tools and adaptation-guided retrieval. They were used to adapt the beam number and beam angles suggested in the retrieved case. Two machine-learning tools, neural networks and naive Bayes classifier, were used in the adaptation to learn how the difference in attribute values between the retrieved and new cases affects the output of these two cases. The adaptation-guided retrieval takes into consideration not only the similarity between the new and retrieved cases, but also how to adapt the retrieved case. The research was carried out in collaboration with medical physicists at the Nottingham University Hospitals NHS Trust, City Hospital Campus, UK. All experiments were performed using real-world brain cancer patient cases treated with three-dimensional (3D)-conformal radiotherapy. Neural networks-based adaptation improved the success rate of the CBR system with no adaptation by 12%. However, naive Bayes classifier did not improve the current retrieval results as it did not consider the interplay among attributes. The adaptation-guided retrieval of the case for beam number improved the success rate of the CBR system by 29%. However, it did not demonstrate good performance for the beam angle adaptation. Its success rate was 29% versus 39% when no adaptation was performed. The obtained empirical results demonstrate that the proposed adaptation methods improve the performance of the existing CBR system in recommending the number of beams to use. However, we also conclude that to be effective, the proposed adaptation of beam angles requires a large number of relevant cases in the case base. Copyright © 2016 Elsevier B.V. All rights reserved.

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.

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.

Disparities in HIV knowledge and attitudes toward biomedical interventions among the non-medical HIV workforce in the United States.

PubMed

Copeland, Raniyah M; Wilson, Phill; Betancourt, Gabriela; Garcia, David; Penner, Murray; Abravanel, Rebecca; Wong, Eric Y; Parisi, Lori D

2017-12-01

Non-medical, community-based workers play a critical role in supporting people living with (or at risk of acquiring) HIV along the care continuum. The biomedical nature of promising advances in HIV prevention, such as pre-exposure prophylaxis and treatment-as-prevention, requires frontline workers to be knowledgeable about HIV science and treatment. This study was developed to: measure knowledge of HIV science and treatment within the HIV non-medical workforce, evaluate workers' familiarity with and attitudes toward recent biomedical interventions, and identify factors that may affect HIV knowledge and attitudes. A 62-question, web-based survey was completed in English or Spanish between 2012 and 2014 by 3663 US-based employees, contractors, and volunteers working in AIDS service organizations, state/local health departments, and other community-based organizations in a non-medical capacity. Survey items captured the following: respondent demographics, HIV science and treatment knowledge, and familiarity with and attitudes toward biomedical interventions. An average of 61% of HIV knowledge questions were answered correctly. Higher knowledge scores were associated with higher education levels, work at organizations that serve people living with HIV/AIDS or who are at a high risk of acquiring HIV, and longer tenure in the field. Lower knowledge scores were associated with non-Hispanic Black or Black race/ethnicity and taking the survey in Spanish. Similarly, subgroup analyses showed that respondents who were non-Hispanic Black or Hispanic (versus non-Hispanic white), as well as those located in the South (versus other regions) scored significantly lower. These subpopulations were also less familiar with and had less positive attitudes toward newer biomedical prevention interventions. Respondents who took the survey in Spanish (versus English) had lower knowledge scores and higher familiarity with, but generally less positive attitudes toward, biomedical interventions. In summary, low knowledge scores suggest the need for additional capacity-building efforts and training for non-medical HIV workers, particularly those who provide services in the communities most affected by HIV.

Guide for applied public health workforce research: an evidence-based approach to workforce development.

PubMed

Thacker, Stephen B

2009-11-01

Essential to achievement of the public health mission is a knowledgeable, competent, and prepared workforce; yet, there is little application of science and technical knowledge to ensuring the effectiveness of that workforce, be it governmental or private. In this article, I review the evidence for effective workforce development and argue for an increased emphasis on an evidence-based approach to ensuring an effective workforce by encouraging the generation of the evidence base that is required. To achieve this, I propose the appointment of an independent Task Force on Public Health Workforce Practice to oversee the development of a Guide for Public Health Workforce Research and Practice (Workforce Guide), a process that will generate and bring together the workforce evidence base for use by public health practitioners.

Innovative teaching methods for capacity building in knowledge translation

PubMed Central

2011-01-01

Background In some current healthcare settings, there is a noticeable absence of national institutions committed to the synthesis and use of evidence in healthcare decision- and policy-making. This absence creates a need to broaden the responsibilities of healthcare providers to include knowledge brokering and advocacy in order to optimize knowledge translation to other stakeholders, especially policy-makers. However, this process requires practitioners and researchers to acquire certain types of knowledge and skills. This article introduces two innovative methods for capacity building in knowledge translation (KT). Methods During a workshop aimed at preparing 21 trainers in evidence-based medicine, two innovative methods were used: (1) debate and (2) a knowledge translation project (KTP). The main objective of the debates approach was to strengthen participants' critical thinking abilities by requiring them to search for and appraise evidence and defend their arguments. The KTP was used to introduce participants to the essential steps of knowledge translation and to suggest an extended role for healthcare practitioners, i.e., using evidence to manage not only individual patients but also to a community of patients. Participants' performances were assessed according to a pre-designed scheme. At the end of the workshop, participants' opinions and experiences with the innovative teaching methods were evaluated based on their answers to a questionnaire and the results of small-group discussions. Results The participants performed well in both the debate and KTP methods. During post-workshop group discussions, they indicated that the debate approach had added a new dimension to their evidence-based medicine skills by adding purpose and motivation. However, they felt that their performances would have been better if they had been offered practical demonstrations of how to conduct the debate. The participants indicated that the KTP enhanced their understanding of the relationships between evidence and implementation, and motivated them to investigate public health problems in addition to individual patient problems. However, some participants maintained that these issues fell outside the scope of their role as doctors. Conclusion Debates and evidence implementation through KTP are generally well accepted by healthcare practitioners as methods by which they can improve their skills in KT. PMID:21999174

Innovative teaching methods for capacity building in knowledge translation.

PubMed

Wahabi, Hayfaa A; Al-Ansary, Lubna A

2011-10-14

In some current healthcare settings, there is a noticeable absence of national institutions committed to the synthesis and use of evidence in healthcare decision- and policy-making. This absence creates a need to broaden the responsibilities of healthcare providers to include knowledge brokering and advocacy in order to optimize knowledge translation to other stakeholders, especially policy-makers. However, this process requires practitioners and researchers to acquire certain types of knowledge and skills. This article introduces two innovative methods for capacity building in knowledge translation (KT). During a workshop aimed at preparing 21 trainers in evidence-based medicine, two innovative methods were used: (1) debate and (2) a knowledge translation project (KTP). The main objective of the debates approach was to strengthen participants' critical thinking abilities by requiring them to search for and appraise evidence and defend their arguments. The KTP was used to introduce participants to the essential steps of knowledge translation and to suggest an extended role for healthcare practitioners, i.e., using evidence to manage not only individual patients but also to a community of patients. Participants' performances were assessed according to a pre-designed scheme. At the end of the workshop, participants' opinions and experiences with the innovative teaching methods were evaluated based on their answers to a questionnaire and the results of small-group discussions. The participants performed well in both the debate and KTP methods. During post-workshop group discussions, they indicated that the debate approach had added a new dimension to their evidence-based medicine skills by adding purpose and motivation. However, they felt that their performances would have been better if they had been offered practical demonstrations of how to conduct the debate. The participants indicated that the KTP enhanced their understanding of the relationships between evidence and implementation, and motivated them to investigate public health problems in addition to individual patient problems. However, some participants maintained that these issues fell outside the scope of their role as doctors. Debates and evidence implementation through KTP are generally well accepted by healthcare practitioners as methods by which they can improve their skills in KT.

Core competencies in clinical neuropsychology training across the world.

PubMed

Hessen, Erik; Hokkanen, Laura; Ponsford, Jennie; van Zandvoort, Martine; Watts, Ann; Evans, Jonathan; Haaland, Kathleen Y

2018-05-01

This work aimed to review main competency requirements from training models in countries with well-established specialties in clinical neuropsychology and to extract core competencies that likely will apply to clinical neuropsychologists regardless of regional and cultural context. We reviewed standards for post-graduate training in clinical neuropsychology from countries in Europe, Australia, and North America based on existing literature, presentations at international conferences, and from description of the training models from national psychological or neuropsychological associations. Despite differences, the reviewed models share similar core competencies considered necessary for a specialty in clinical neuropsychology: (1) In-depth knowledge of general psychology including clinical psychology (post-graduate level), ethical, and legal standards. (2) Expert knowledge about clinically relevant brain-behavioral relationships. (3) Comprehensive knowledge about, and skills in, related clinical disciplines. (4) In-depth knowledge about and skills in neuropsychological assessment, including decision-making and diagnostic competency according to current classification of diseases. (5) Competencies in the area of diversity and culture in relation to clinical neuropsychology. (6) Communication competency of neuropsychological findings and test results to relevant and diverse audiences. (7) Knowledge about and skills in psychological and neuropsychological intervention, including treatment and rehabilitation. All the models have undergone years of development in accordance with requirements of national health care systems in different parts of the world. Despite differences, the common core competency requirements across different regions of the world suggest generalizability of these competencies. We hope this summary can be useful as countries with less established neuropsychology training programs develop their models.

Nutrition knowledge, beliefs and dietary habits among elderly people in Nizwa, Oman: implications for policy.

PubMed

Al Riyami, A; Al Hadabi, S; Abd El Aty, M A; Al Kharusi, H; Morsi, M; Jaju, S

2010-08-01

The nutritional needs of the ageing population require special attention. We undertook a cross-sectional, community-based, household survey in Nizwa wilayat, Oman to study nutrition-related knowledge and beliefs and self-reported dietary habits among a sample of elderly people. The response rate for the household interview was 99.3% from a total sample of 2041. About 45% of the elderly were overweight or obese. Overall we found poor knowledge of nutrition plus some nutritional imbalances and low levels of physical activity. Significant sex differences existed in elderly peoples' nutritional knowledge, consumption of fluids, milk and sweets, use of dietary regimens and experience of appetite change. The findings warrant reorientation of the existing health promotion strategy for the elderly.

Indexing Guidelines: Applications in Use of Pulmonary Artery Catheters and Pressure Ulcer Prevention

PubMed Central

Jenders, Robert A.; Estey, Greg; Martin, Martha; Hamilton, Glenys; Ford-Carleton, Penny; Thompson, B. Taylor; Oliver, Diane E.; Eccles, Randy; Barnett, G. Octo; Zielstorff, Rita D.; Fitzmaurice, Joan B.

1994-01-01

In a busy clinical environment, access to knowledge must be rapid and specific to the clinical query at hand. This requires indices which support easy navigation within a knowledge source. We have developed a computer-based tool for trouble-shooting pulmonary artery waveforms using a graphical index. Preliminary results of domain knowledge tests for a group of clinicians exposed to the system (N=33) show a mean improvement on a 30-point test of 5.33 (p<0.001) compared to a control group (N=19) improvement of 0.47 (p=0.61). Survey of the experimental group (N=25) showed 84% (p=0.001) found the system easy to use. We discuss lessons learned in indexing this domain area to computer-based indexing of guidelines for pressure ulcer prevention. PMID:7950035

Individual differences in the strength of taxonomic versus thematic relations

PubMed Central

Mirman, Daniel; Graziano, Kristen M.

2011-01-01

Knowledge about word and object meanings can be organized taxonomically (fruits, mammals, etc.) based on shared features, or thematically (eating breakfast, taking a dog for a walk, etc.) based on participation in events or scenarios. An eye-tracking study showed that both kinds of knowledge are activated during comprehension of a single spoken word, even when the listener is not required to perform any active task. The results further revealed that an individual’s relative activation of taxonomic relations compared to thematic relations predicts that individual’s tendency to favor taxonomic over thematic relations when asked to choose between them in a similarity judgment task. These results argue that individuals differ in the relative strengths of their taxonomic and thematic semantic knowledge and suggest that meaning information is organized in two parallel, complementary semantic systems. PMID:22201413

Guidelines for development of NASA (National Aeronautics and Space Administration) computer security training programs

NASA Technical Reports Server (NTRS)

Tompkins, F. G.

1983-01-01

The report presents guidance for the NASA Computer Security Program Manager and the NASA Center Computer Security Officials as they develop training requirements and implement computer security training programs. NASA audiences are categorized based on the computer security knowledge required to accomplish identified job functions. Training requirements, in terms of training subject areas, are presented for both computer security program management personnel and computer resource providers and users. Sources of computer security training are identified.

Knowledge Management through the Equilibrium Pattern Model for Learning

NASA Astrophysics Data System (ADS)

Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

Primary care physicians' knowledge of and confidence in their referrals for special education services in 3- to 5-year-old children.

PubMed

Hastings, Elizabeth A; Lumeng, Julie C; Clark, Sarah J

2014-02-01

Children 3 to 5 years old with developmental delays are eligible for special education services. To assess primary care physicians' (PCPs) knowledge, attitudes, and practices regarding their referrals to the special education system on behalf of children 3 to 5 years old. Mail survey of 400 office-based general pediatricians and 414 family physicians in Michigan, fielded in fall 2012 and winter 2013, with a response rate of 44%. The 4-page survey included knowledge questions about special education eligibility, PCPs' role in accessing school-based services, and self-confidence in ability to help patients access these services. PCPs neither fully understood requirements for special education services nor were they very confident in identifying 3- to 5-year-old children eligible for special education services. PCPs recognize interacting with special education as a relative weakness, and they may be accepting of interventions to improve their knowledge and skills.

Striking a Balance: Experiment and Concept in Undergraduate Inorganic Chemistry.

ERIC Educational Resources Information Center

Frey, John E.

1990-01-01

Described is an inorganic chemistry course based on the premise that a balanced understanding of inorganic chemistry requires knowledge of the experimental, theoretical, and technological aspects of the subject. A detailed description of lectures and laboratories is included. (KR)

Teaching Mathematics in Geography Degrees

ERIC Educational Resources Information Center

Bennett, Robert

1978-01-01

Examines ways of developing college students' motivation for mathematical training; describes the type of mathematical knowledge required in the geography discipline; and explores an applied approach to mathematics teaching based on a systems concept. For journal availability, see SO 506 224. (Author/AV)

LEACHATE CLOGGING ASSESSMENT OF GEOTEXTILE AND SOIL LANDFILL FILTERS

EPA Science Inventory

The liquids management strategy for any municipal or hazardous waste landfill requires a knowledgeable design strategy for the leachate collection system located at the base of the waste mass. Such leachate collection systems generally consist of sumps, perforated pipes, drainag...

40 CFR 63.2465 - What requirements must I meet for process vents that emit hydrogen halide and halogen HAP or HAP...

Code of Federal Regulations, 2010 CFR

2010-07-01

... Pollutants: Miscellaneous Organic Chemical Manufacturing Emission Limits, Work Practice Standards, and... the mass emission rate of HAP metals based on process knowledge, engineering assessment, or test data...

Recommendations for Developing Alternative Test Methods for Developmental Neurotoxicity

EPA Science Inventory

There is great interest in developing alternative methods for developmental neurotoxicity testing (DNT) that are cost-efficient, use fewer animals and are based on current scientific knowledge of the developing nervous system. Alternative methods will require demonstration of the...

De-coding Reading at Work: Workplace Reading Competencies.

ERIC Educational Resources Information Center

Searle, Jean

1998-01-01

Naturalistic observations and interviews with service workers found on-the-job reading was based on knowledge of codes and rules of practice and required problem-solving and metacognitive strategies. Workplace competencies should be considered within their social and cultural context. (SK)

Knowledge-based versus experimentally acquired distance and angle constraints for NMR structure refinement.

PubMed

Cui, Feng; Jernigan, Robert; Wu, Zhijun

2008-04-01

Nuclear Overhauser effects (NOE) distance constraints and torsion angle constraints are major conformational constraints for nuclear magnetic resonance (NMR) structure refinement. In particular, the number of NOE constraints has been considered as an important determinant for the quality of NMR structures. Of course, the availability of torsion angle constraints is also critical for the formation of correct local conformations. In our recent work, we have shown how a set of knowledge-based short-range distance constraints can also be utilized for NMR structure refinement, as a complementary set of conformational constraints to the NOE and torsion angle constraints. In this paper, we show the results from a series of structure refinement experiments by using different types of conformational constraints--NOE, torsion angle, or knowledge-based constraints--or their combinations, and make a quantitative assessment on how the experimentally acquired constraints contribute to the quality of structural models and whether or not they can be combined with or substituted by the knowledge-based constraints. We have carried out the experiments on a small set of NMR structures. Our preliminary calculations have revealed that the torsion angle constraints contribute substantially to the quality of the structures, but require to be combined with the NOE constraints to be fully effective. The knowledge-based constraints can be functionally as crucial as the torsion angle constraints, although they are statistical constraints after all and are not meant to be able to replace the latter.

A survey of Existing V&V, UQ and M&S Data and Knowledge Bases in Support of the Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS)

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

Hyung Lee; Rich Johnson, Ph.D.; Kimberlyn C. Moussesau

2011-12-01

The Nuclear Energy - Knowledge base for Advanced Modeling and Simulation (NE-KAMS) is being developed at the Idaho National Laboratory in conjunction with Bettis Laboratory, Sandia National Laboratories, Argonne National Laboratory, Oak Ridge National Laboratory, Utah State University and others. The objective of this consortium is to establish a comprehensive knowledge base to provide Verification and Validation (V&V) and Uncertainty Quantification (UQ) and other resources for advanced modeling and simulation (M&S) in nuclear reactor design and analysis. NE-KAMS will become a valuable resource for the nuclear industry, the national laboratories, the U.S. NRC and the public to help ensure themore » safe operation of existing and future nuclear reactors. A survey and evaluation of the state-of-the-art of existing V&V and M&S databases, including the Department of Energy and commercial databases, has been performed to ensure that the NE-KAMS effort will not be duplicating existing resources and capabilities and to assess the scope of the effort required to develop and implement NE-KAMS. The survey and evaluation have indeed highlighted the unique set of value-added functionality and services that NE-KAMS will provide to its users. Additionally, the survey has helped develop a better understanding of the architecture and functionality of these data and knowledge bases that can be used to leverage the development of NE-KAMS.« less

14 CFR 63.53 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 63.53 Section 63.53 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Navigators § 63.53 Knowledge requirements. (a) An...

14 CFR 65.75 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 65.75 Section 65.75 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Mechanics § 65.75 Knowledge requirements. (a) Each applicant...

14 CFR 65.75 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 65.75 Section 65.75 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Mechanics § 65.75 Knowledge requirements. (a) Each applicant...

14 CFR 65.55 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 65.55 Section 65.55 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: AIRMEN OTHER THAN FLIGHT CREWMEMBERS Aircraft Dispatchers § 65.55 Knowledge requirements. (a) A...

14 CFR 63.53 - Knowledge requirements.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 14 Aeronautics and Space 2 2011-01-01 2011-01-01 false Knowledge requirements. 63.53 Section 63.53 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Navigators § 63.53 Knowledge requirements. (a) An...

14 CFR 63.35 - Knowledge requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 14 Aeronautics and Space 2 2010-01-01 2010-01-01 false Knowledge requirements. 63.35 Section 63.35 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION (CONTINUED) AIRMEN CERTIFICATION: FLIGHT CREWMEMBERS OTHER THAN PILOTS Flight Engineers § 63.35 Knowledge requirements. (a) An...

A Large-Scale Inquiry-Based Astronomy Intervention Project: Impact on Students' Content Knowledge Performance and Views of their High School Science Classroom

NASA Astrophysics Data System (ADS)

Fitzgerald, Michael; McKinnon, David H.; Danaia, Lena; Deehan, James

2016-12-01

In this paper, we present the results from a study of the impact on students involved in a large-scale inquiry-based astronomical high school education intervention in Australia. Students in this intervention were led through an educational design allowing them to undertake an investigative approach to understanding the lifecycle of stars more aligned with the `ideal' picture of school science. Through the use of two instruments, one focused on content knowledge gains and the other on student views of school science, we explore the impact of this design. Overall, students made moderate content knowledge gains although these gains were heavily dependent on the individual teacher, the number of times a teacher implemented and the depth to which an individual teacher went with the provided materials. In terms of students' views, there were significant global changes in their views of their experience of the science classroom. However, there were some areas where no change or slightly negative changes of which some were expected and some were not. From these results, we comment on the necessity of sustained long-period implementations rather than single interventions, the requirement for similarly sustained professional development and the importance of monitoring the impact of inquiry-based implementations. This is especially important as inquiry-based approaches to science are required by many new curriculum reforms, most notably in this context, the new Australian curriculum currently being rolled out.

Work-based learning as a means of developing and assessing nursing competence.

PubMed

Flanagan, J; Baldwin, S; Clarke, D

2000-05-01

Work-Based Learning is the bringing together of self-knowledge, expertise at work and formal knowledge. It takes a structured and learner-managed approach to maximizing opportunities for learning and professional development in the workplace. The development and assessment of nursing competence can be facilitated through Work-Based Learning, although this may require pedagogic and structural changes within nurse education. There are a number of conditions which must accompany effective participative learning, and these are discussed in the paper in relation to examples of nursing programmes. This method of learning and assessment has potential to bridge the gap between theory and practice, and as such it can only be achieved through commitment and partnership between the individual practitioner, clinical services and universities.

The KAPTUR environment: An operations concept

NASA Technical Reports Server (NTRS)

1989-01-01

This report presents a high-level specification and operations concept for KAPTUR, a development environment based on knowledge acquisition for preservation of tradeoffs and underlying rationales. KAPTUR is intended to do what its name implies: to capture knowledge that is required or generated during the development process, but that is often lost because it is contextual, i.e., it does not appear directly in the end-products of development. Such knowledge includes issues that were raised during development, alternatives that were considered, and the reasons for choosing one alternative over others. Contextual information is usually only maintained as a memory in a developer's mind. As time passes, the memories become more vague and individuals become unavailable, and eventually the knowledge is lost. KAPTUR seeks to mitigate this process of attrition by recording and organizing contextual knowledge as it is generated.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine.

PubMed

Maier, Dieter; Kalus, Wenzel; Wolff, Martin; Kalko, Susana G; Roca, Josep; Marin de Mas, Igor; Turan, Nil; Cascante, Marta; Falciani, Francesco; Hernandez, Miguel; Villà-Freixa, Jordi; Losko, Sascha

2011-03-05

To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype-phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene--disease and gene--compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.

Knowledge management for systems biology a general and visually driven framework applied to translational medicine

PubMed Central

2011-01-01

Background To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development. PMID:21375767

An advanced artificial intelligence tool for menu design.

PubMed

Khan, Abdus Salam; Hoffmann, Achim

2003-01-01

The computer-assisted menu design still remains a difficult task. Usually knowledge that aids in menu design by a computer is hard-coded and because of that a computerised menu planner cannot handle the menu design problem for an unanticipated client. To address this problem we developed a menu design tool, MIKAS (menu construction using incremental knowledge acquisition system), an artificial intelligence system that allows the incremental development of a knowledge-base for menu design. We allow an incremental knowledge acquisition process in which the expert is only required to provide hints to the system in the context of actual problem instances during menu design using menus stored in a so-called Case Base. Our system incorporates Case-Based Reasoning (CBR), an Artificial Intelligence (AI) technique developed to mimic human problem solving behaviour. Ripple Down Rules (RDR) are a proven technique for the acquisition of classification knowledge from expert directly while they are using the system, which complement CBR in a very fruitful way. This combination allows the incremental improvement of the menu design system while it is already in routine use. We believe MIKAS allows better dietary practice by leveraging a dietitian's skills and expertise. As such MIKAS has the potential to be helpful for any institution where dietary advice is practised.

Cognitive task analysis for instruction in single-injection ultrasound guided-regional anesthesia

NASA Astrophysics Data System (ADS)

Gucev, Gligor V.

Cognitive task analysis (CTA) is methodology for eliciting knowledge from subject matter experts. CTA has been used to capture the cognitive processes, decision-making, and judgments that underlie expert behaviors. A review of the literature revealed that CTA has not yet been used to capture the knowledge required to perform ultrasound guided regional anesthesia (UGRA). The purpose of this study was to utilize CTA to extract knowledge from UGRA experts and to determine whether instruction based on CTA of UGRA will produce results superior to the results of traditional training. This study adds to the knowledge base of CTA in being the first one to effectively capture the expert knowledge of UGRA. The derived protocol was used in a randomized, double blinded experiment involving UGRA instruction to 39 novice learners. The results of this study strongly support the hypothesis that CTA-based instruction in UGRA is more effective than conventional clinical instruction, as measured by conceptual pre- and post-tests, performance of a simulated UGRA procedure, and time necessary for the task performance. This study adds to the number of studies that have proven the superiority of CTA-informed instruction. Finally, it produced several validated instruments that can be used in instructing and evaluating UGRA.

Genomics as knowledge enterprise: Implementing an electronic research habitat at the Biopolis Experimental Therapeutics Center.

PubMed

Mitchell, Wayne; Breen, Colin; Entzeroth, Michael

2008-03-01

The Experimental Therapeutics Center (ETC) has been established at Biopolis to advance translational research by bridging the gap between discovery science and commercialization. We describe the Electronic Research Habitat at ETC, a comprehensive hardware and software infrastructure designed to effectively manage terabyte data flows and storage, increase back office efficiency, enhance the scientific work experience, and satisfy rigorous regulatory and legal requirements. Our habitat design is secure, scalable and robust, and it strives to embody the core values of the knowledge-based workplace, thus contributing to the strategic goal of building a "knowledge economy" in the context of Singapore's on-going biotechnology initiative.

A Knowledge-Based and Model-Driven Requirements Engineering Approach to Conceptual Satellite Design

NASA Astrophysics Data System (ADS)

Dos Santos, Walter A.; Leonor, Bruno B. F.; Stephany, Stephan

Satellite systems are becoming even more complex, making technical issues a significant cost driver. The increasing complexity of these systems makes requirements engineering activities both more important and difficult. Additionally, today's competitive pressures and other market forces drive manufacturing companies to improve the efficiency with which they design and manufacture space products and systems. This imposes a heavy burden on systems-of-systems engineering skills and particularly on requirements engineering which is an important phase in a system's life cycle. When this is poorly performed, various problems may occur, such as failures, cost overruns and delays. One solution is to underpin the preliminary conceptual satellite design with computer-based information reuse and integration to deal with the interdisciplinary nature of this problem domain. This can be attained by taking a model-driven engineering approach (MDE), in which models are the main artifacts during system development. MDE is an emergent approach that tries to address system complexity by the intense use of models. This work outlines the use of SysML (Systems Modeling Language) and a novel knowledge-based software tool, named SatBudgets, to deal with these and other challenges confronted during the conceptual phase of a university satellite system, called ITASAT, currently being developed by INPE and some Brazilian universities.

Maintenance of Certification for Radiation Oncology

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

Kun, Larry E.; Ang, Kian; Erickson, Beth

2005-06-01

Maintenance of Certification (MOC) recognizes that in addition to medical knowledge, several essential elements involved in delivering quality care must be developed and maintained throughout one's career. The MOC process is designed to facilitate and document professional development of American Board of Radiology (ABR) diplomates in the essential elements of quality care in Radiation Oncology and Radiologic Physics. ABR MOC has been developed in accord with guidelines of the American Board of Medical Specialties. All Radiation Oncology certificates issued since 1995 are 10-year, time-limited certificates; diplomates with time-limited certificates who wish to maintain specialty certification must complete specific requirements ofmore » the American Board of Radiology MOC program. Diplomates with lifelong certificates are not required to participate but are strongly encouraged to do so. Maintenance of Certification is based on documentation of participation in the four components of MOC: (1) professional standing, (2) lifelong learning and self-assessment, (3) cognitive expertise, and (4) performance in practice. Through these components, MOC addresses six competencies-medical knowledge, patient care, interpersonal and communication skills, professionalism, practice-based learning and improvement, and systems-based practice. Details of requirements for components 1, 2, and 3 of MOC are outlined along with aspects of the fourth component currently under development.« less

Consensus statement for use and technical requirements of thyroid ultrasound in endocrinology units.

PubMed

Martín-Hernández, Tomás; Díez Gómez, Juan José; Díaz-Soto, Gonzalo; Torres Cuadro, Alberto; Navarro González, Elena; Oleaga Alday, Amelia; Sambo Salas, Marcel; Reverter Calatayud, Jordi L; Argüelles Jiménez, Iñaki; Mancha Doblas, Isabel; Fernández García, Diego; Galofré, Juan Carlos

2017-03-01

Thyroid nodule detection has increased with widespread use of ultrasound, which is currently the main tool for detection, monitoring, diagnosis and, in some instances, treatment of thyroid nodules. Knowledge of ultrasound and adequate instruction on its use require a position statement by the scientific societies concerned. The working groups on thyroid cancer and ultrasound techniques of the Spanish Society of Endocrinology and Nutrition have promoted this document, based on a thorough analysis of the current literature, the results of multicenter studies and expert consensus, in order to set the requirements for the best use of ultrasound in clinical practice. The objectives include the adequate framework for use of thyroid ultrasound, the technical and legal requirements, the clinical situations in which it is recommended, the levels of knowledge and learning processes, the associated responsibility, and the establishment of a standardized reporting of results and integration into hospital information systems and endocrinology units. Copyright © 2017 SEEN. Publicado por Elsevier España, S.L.U. All rights reserved.

Design knowledge capture for a corporate memory facility

NASA Technical Reports Server (NTRS)

Boose, John H.; Shema, David B.; Bradshaw, Jeffrey M.

1990-01-01

Currently, much of the information regarding decision alternatives and trade-offs made in the course of a major program development effort is not represented or retained in a way that permits computer-based reasoning over the life cycle of the program. The loss of this information results in problems in tracing design alternatives to requirements, in assessing the impact of change in requirements, and in configuration management. To address these problems, the problem was studied of building an intelligent, active corporate memory facility which would provide for the capture of the requirements and standards of a program, analyze the design alternatives and trade-offs made over the program's lifetime, and examine relationships between requirements and design trade-offs. Early phases of the work have concentrated on design knowledge capture for the Space Station Freedom. Tools are demonstrated and extended which helps automate and document engineering trade studies, and another tool is being developed to help designers interactively explore design alternatives and constraints.

New horizons in the implementation and research of comprehensive geriatric assessment: knowing, doing and the 'know-do' gap.

PubMed

Gladman, John R F; Conroy, Simon Paul; Ranhoff, Anette Hylen; Gordon, Adam Lee

2016-03-01

In this paper, we outline the relationship between the need to put existing applied health research knowledge into practice (the 'know-do gap') and the need to improve the evidence base (the 'know gap') with respect to the healthcare process used for older people with frailty known as comprehensive geriatric assessment (CGA). We explore the reasons for the know-do gap and the principles of how these barriers to implementation might be overcome. We explore how these principles should affect the conduct of applied health research to close the know gap. We propose that impaired flow of knowledge is an important contributory factor in the failure to implement evidence-based practice in CGA; this could be addressed through specific knowledge mobilisation techniques. We describe that implementation failures are also produced by an inadequate evidence base that requires the co-production of research, addressing not only effectiveness but also the feasibility and acceptability of new services, the educational needs of practitioners, the organisational requirements of services, and the contribution made by policy. Only by tackling these issues in concert and appropriate proportion, will the know and know-do gaps for CGA be closed. © The Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Using an online quiz-based reinforcement system to teach healthcare quality and patient safety and care transitions at the University of California.

PubMed

Shaikh, Ulfat; Afsar-Manesh, Nasim; Amin, Alpesh N; Clay, Brian; Ranji, Sumant R

2017-10-01

Implementing quality improvement (QI) education during clinical training is challenging due to time constraints and inadequate faculty development in these areas. Quiz-based reinforcement systems show promise in fostering active engagement, collaboration, healthy competition and real-time formative feedback, although further research on their effectiveness is required. An online quiz-based reinforcement system to increase resident and faculty knowledge in QI, patient safety and care transitions. Experts in QI and educational assessment at the 5 University of California medical campuses developed a course comprised of 3 quizzes on Introduction to QI, Patient Safety and Care Transitions. Each quiz contained 20 questions and utilized an online educational quiz-based reinforcement system that leveraged spaced learning. Approximately 500 learners completed the course (completion rate 66-86%). Knowledge acquisition scores for all quizzes increased after completion: Introduction to QI (35-73%), Patient Safety (58-95%), and Care Transitions (66-90%). Learners reported that the quiz-based system was an effective teaching modality and preferred this type of education to classroom-based lectures. Suggestions for improvement included reducing frequency of presentation of questions and utilizing more questions that test learners on application of knowledge instead of knowledge acquisition. A multi-campus online quiz-based reinforcement system to train residents in QI, patient safety and care transitions was feasible, acceptable, and increased knowledge. The course may be best utilized to supplement classroom-based and experiential curricula, along with increased attention to optimizing frequency of presentation of questions and enhancing application skills. © The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Data Quality Objectives for Regulatory Requirements for Dangerous Waste Sampling and Analysis

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

MULKEY, C.H.

1999-07-02

This document describes sampling and analytical requirements needed to meet state and federal regulations for dangerous waste (DW). The River Protection Project (RPP) is assigned to the task of storage and interim treatment of hazardous waste. Any final treatment or disposal operations, as well as requirements under the land disposal restrictions (LDRs), fall in the jurisdiction of another Hanford organization and are not part of this scope. The requirements for this Data Quality Objective (DQO) Process were developed using the RPP Data Quality Objective Procedure (Banning 1996), which is based on the U.S. Environmental Protection Agency's (EPA) Guidance for themore » Data Quality Objectives Process (EPA 1994). Hereafter, this document is referred to as the DW DQO. Federal and state laws and regulations pertaining to waste contain requirements that are dependent upon the composition of the waste stream. These regulatory drivers require that pertinent information be obtained. For many requirements, documented process knowledge of a waste composition can be used instead of analytical data to characterize or designate a waste. When process knowledge alone is used to characterize a waste, it is a best management practice to validate the information with analytical measurements.« less

Structured feedback on students' concept maps: the proverbial path to learning?

PubMed

Joseph, Conran; Conradsson, David; Nilsson Wikmar, Lena; Rowe, Michael

2017-05-25

Good conceptual knowledge is an essential requirement for health professions students, in that they are required to apply concepts learned in the classroom to a variety of different contexts. However, the use of traditional methods of assessment limits the educator's ability to correct students' conceptual knowledge prior to altering the educational context. Concept mapping (CM) is an educational tool for evaluating conceptual knowledge, but little is known about its use in facilitating the development of richer knowledge frameworks. In addition, structured feedback has the potential to develop good conceptual knowledge. The purpose of this study was to use Kinchin's criteria to assess the impact of structured feedback on the graphical complexity of CM's by observing the development of richer knowledge frameworks. Fifty-eight physiotherapy students created CM's targeting the integration of two knowledge domains within a case-based teaching paradigm. Each student received one round of structured feedback that addressed correction, reinforcement, forensic diagnosis, benchmarking, and longitudinal development on their CM's prior to the final submission. The concept maps were categorized according to Kinchin's criteria as either Spoke, Chain or Net representations, and then evaluated against defined traits of meaningful learning. The inter-rater reliability of categorizing CM's was good. Pre-feedback CM's were predominantly Chain structures (57%), with Net structures appearing least often. There was a significant reduction of the basic Spoke- structured CMs (P = 0.002) and a significant increase of Net-structured maps (P < 0.001) at the final evaluation (post-feedback). Changes in structural complexity of CMs appeared to be indicative of broader knowledge frameworks as assessed against the meaningful learning traits. Feedback on CM's seemed to have contributed towards improving conceptual knowledge and correcting naive conceptions of related knowledge. Educators in medical education could therefore consider using CM's to target individual student development.

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

Brain stem death and organ donation.

PubMed

Davies, C

1996-01-01

Our understanding of the concept and definition of death has changed over time. The British contribution to the body of knowledge on the diagnosis of brain steam death was the publication by the medical royal colleges (1976) of diagnostic criteria. Most literature and research which explores the knowledge and attitudes of nurses towards the concept of brain stem death is from the USA. Several issues which arise from the literature are discussed in relation to organ donation. Further UK-based research is required.

An engineering approach to the use of expert systems technology in avionics applications

NASA Technical Reports Server (NTRS)

Duke, E. L.; Regenie, V. A.; Brazee, M.; Brumbaugh, R. W.

1986-01-01

The concept of using a knowledge compiler to transform the knowledge base and inference mechanism of an expert system into a conventional program is presented. The need to accommodate real-time systems requirements in applications such as embedded avionics is outlined. Expert systems and a brief comparison of expert systems and conventional programs are reviewed. Avionics applications of expert systems are discussed before the discussions of applying the proposed concept to example systems using forward and backward chaining.

Battleplan for an Unqualified Opinion: How Does the DoD FM Certification Program Help Fix the DoD’s Audit Problem

DTIC Science & Technology

2016-02-29

test based certifications to determine if the program enhances the knowledge of the FM workforce and improves financial reporting . This paper found... financial reporting for the federal government.9 This step was extremely important in that it put an emphasis on improving the current state of financial ...likely new to the career field and would not require as in depth knowledge of financial management. Level two is more the intermediate and journeyman

[Abulcasis, Avicenna, and Galen: a forensic investigation by a 14th century Jewish physician].

PubMed

Courtemanche, Andrée

2002-01-01

Through a forensic investigation conducted by a Jewish doctor at the end of the 14th century, this paper aims to determine the quality of the training as well as the ensuing practical knowledge that the doctor possessed. Based on the "authorities" (auctoritates) quoted in his investigation, it appears that the doctor, who likely did not attend medical school, acquired the theoretical knowledge that was taught in such institutions and that was required to obtain a medical licence in Provence.

Learning receptor positions from imperfectly known motions

NASA Technical Reports Server (NTRS)

Ahumada, Albert J., Jr.; Mulligan, Jeffrey B.

1990-01-01

An algorithm is described for learning image interpolation functions for sensor arrays whose sensor positions are somewhat disordered. The learning is based on failures of translation invariance, so it does not require knowledge of the images being presented to the visual system. Previously reported implementations of the method assumed the visual system to have precise knowledge of the translations. It is demonstrated that translation estimates computed from the imperfectly interpolated images can have enough accuracy to allow the learning process to converge to a correct interpolation.

Viral diseases of new world camelids.

PubMed

Kapil, Sanjay; Yeary, Teresa; Evermann, James F

2009-07-01

The increased popularity and population of New World camelids in the United States requires the development of a broader base of knowledge of the health and disease parameters for these animals by the veterinary livestock practitioner. Although our knowledge regarding infectious diseases of camelids has increased greatly over the past decade, the practice of camelid medicine is a relatively new field in North America, so it is important to seek out seasoned colleagues and diagnostic laboratories that are involved in camelid health treatment and diagnosis.

Expert systems in transmission planning

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

Galiana, F.D.; McGillis, D.T.; Marin, M.A.

1992-05-01

In this paper the state of the field of expert systems and knowledge engineering in transmission planning is reviewed. A detailed analysis of the goals, definition, requirements and methodology of transmission planning is presented. Potential benefits of knowledge-based applications in transmission planning are reviewed. This is followed by a thorough review of the area broken down into subareas or important related topics. The conclusions offer a number of suggestions for possible future research and development. Finally, a detailed bibliography divided into subareas is presented.

Proceedings of Joint RL/AFOSR Workshop on Intelligent Information Systems Held at Griffiss AFB, New York on October 22-23, 1991

DTIC Science & Technology

1992-04-01

AND SCHEDULING" TIM FINN, UNIVERSITY OF MARYLAND, BALTIMORE COUNTY E. " EXTRACTING RULES FROM SOFTWARE FOR KNOWLEDGE-BASES" NOAH S. PRYWES, UNIVERSITY...Databases for Planning and Scheduling" Tim Finin, Unisys Corporation 8:30 - 9:00 " Extracting Rules from Software for Knowledge Baseso Noah Prywes, U. of...Space Requirements are Tractable E.G.: FEM, Multiplication Routines, Sorting Programs Lebmwmy fo Al Roseew d. The Ohio Male Unlversity A-2 Type 2

Student Perceptions of a Flipped Pharmacotherapy Course

PubMed Central

Khanova, Julia; McLaughlin, Jacqueline E.; Rhoney, Denise H.; Roth, Mary T.

2015-01-01

Objective. To evaluate student perception of the flipped classroom redesign of a required pharmacotherapy course. Design. Key foundational content was packaged into interactive, text-based online modules for self-paced learning prior to class. Class time was used for active and applied—but primarily case-based—learning. Assessment. For students with a strong preference for traditional lecture learning, the perception of the learning experience was negatively affected by the flipped course design. Module length and time required to complete preclass preparation were the most frequently cited impediments to learning. Students desired instructor-directed reinforcement of independently acquired knowledge to connect foundational knowledge and its application. Conclusion. This study illustrates the challenges and highlights the importance of designing courses to effectively balance time requirements and connect preclass and in-class learning activities. It underscores the crucial role of the instructor in bridging the gap between material learned as independent study and its application. PMID:26839429

Impact of a Required Pharmaceutical Calculations Course on Mathematics Ability and Knowledge Retention

PubMed Central

Buring, Shauna M.; Papas, Elizabeth

2013-01-01

Objective. To assess doctor of pharmacy (PharmD) students’ mathematics ability by content area before and after completing a required pharmaceutical calculations course and to analyze changes in scores. Methods. A mathematics skills assessment was administered to 2 cohorts of pharmacy students (class of 2013 and 2014) before and after completing a pharmaceutical calculations course. The posttest was administered to the second cohort 6 months after completing the course to assess knowledge retention. Results. Both cohorts performed significantly better on the posttest (cohort 1, 13% higher scores; cohort 2, 15.9% higher scores). Significant improvement on posttest scores was observed in 6 of the 10 content areas for cohorts 1 and 2. Both cohorts scored lower in percentage calculations on the posttest than on the pretest. Conclusions. A required, 1-credit-hour pharmaceutical calculations course improved PharmD students’ overall ability to perform fundamental and application-based calculations. PMID:23966727

A Required Online Course with a Public Health Focus for Third Professional Year Pharmacy Students.

PubMed

King, Amber E; Egras, Amy M

2015-06-25

To design, deliver, and evaluate the impact of a required course on student knowledge acquisition and ability to evaluate contemporary public health issues. A 2-credit course was implemented using asynchronous, online delivery. Learning activities included literature retrieval and assessment, analytic writing, quizzes, and creation of a group wiki evaluating a current public health issue. Course topics included health care reform, social determinants of health, health disparities, evidence-based medicine, end-of-life care, patient safety, and research ethics. Strong student performance on assessments indicated an ability to use higher-order cognitive domains. Online delivery provided students with the flexibility to complete assignments at their convenience, allowed participation by all students, and encouraged self-directed learning. Completion of a required, online, asynchronous course with a public health focus allowed pharmacy students to increase their knowledge of and ability to evaluate contemporary ethical, social, cultural, and governmental issues affecting pharmacy practice.

Impact of a required pharmaceutical calculations course on mathematics ability and knowledge retention.

PubMed

Hegener, Michael A; Buring, Shauna M; Papas, Elizabeth

2013-08-12

To assess doctor of pharmacy (PharmD) students' mathematics ability by content area before and after completing a required pharmaceutical calculations course and to analyze changes in scores. A mathematics skills assessment was administered to 2 cohorts of pharmacy students (class of 2013 and 2014) before and after completing a pharmaceutical calculations course. The posttest was administered to the second cohort 6 months after completing the course to assess knowledge retention. Both cohorts performed significantly better on the posttest (cohort 1, 13% higher scores; cohort 2, 15.9% higher scores). Significant improvement on posttest scores was observed in 6 of the 10 content areas for cohorts 1 and 2. Both cohorts scored lower in percentage calculations on the posttest than on the pretest. A required, 1-credit-hour pharmaceutical calculations course improved PharmD students' overall ability to perform fundamental and application-based calculations.

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.

Nurses' readiness for evidence-based practice at Finnish university hospitals: a national survey.

PubMed

Saunders, Hannele; Stevens, Kathleen R; Vehviläinen-Julkunen, Katri

2016-08-01

The aim of this study was to determine nurses' readiness for evidence-based practice at Finnish university hospitals. Although systematic implementation of evidence-based practice is essential to effectively improving patient outcomes and value of care, nurses do not consistently use evidence in practice. Uptake is hampered by lack of nurses' individual and organizational readiness for evidence-based practice. Although nurses' evidence-based practice competencies have been widely studied in countries leading the evidence-based practice movement, less is known about nurses' readiness for evidence-based practice in the non-English-speaking world. A cross-sectional descriptive survey design. The study was conducted in November-December 2014 in every university hospital in Finland with a convenience sample (n = 943) of practicing nurses. The electronic survey data were collected using the Stevens' Evidence-Based Practice Readiness Inventory, which was translated into Finnish according to standardized guidelines for translation of research instruments. The data were analysed using descriptive and inferential statistics. Nurses reported low to moderate levels of self-efficacy and low levels of evidence-based practice knowledge. A statistically significant, direct correlation was found between nurses' self-efficacy in employing evidence-based practice and their actual evidence-based practice knowledge level. Several statistically significant differences were found between nurses' socio-demographic variables and nurses' self-efficacy in employing evidence-based practice, and actual and perceived evidence-based practice knowledge. Finnish nurses at university hospitals are not ready for evidence-based practice. Although nurses are familiar with the concept of evidence-based practice, they lack the evidence-based practice knowledge and self-efficacy in employing evidence-based practice required for integrating best evidence into clinical care delivery. © 2016 John Wiley & Sons Ltd.

Teaching for adaptive expertise in biomedical engineering ethics.

PubMed

Martin, Taylor; Rayne, Karen; Kemp, Nate J; Hart, Jack; Diller, Kenneth R

2005-04-01

This paper considers an approach to teaching ethics in bioengineering based on the How People Learn (HPL) framework. Curricula based on this framework have been effective in mathematics and science instruction from the kindergarten to the college levels. This framework is well suited to teaching bioengineering ethics because it helps learners develop "adaptive expertise". Adaptive expertise refers to the ability to use knowledge and experience in a domain to learn in unanticipated situations. It differs from routine expertise, which requires using knowledge appropriately to solve routine problems. Adaptive expertise is an important educational objective for bioengineers because the regulations and knowledge base in the discipline are likely to change significantly over the course of their careers. This study compares the performance of undergraduate bioengineering students who learned about ethics for stem cell research using the HPL method of instruction to the performance of students who learned following a standard lecture sequence. Both groups learned the factual material equally well, but the HPL group was more prepared to act adaptively when presented with a novel situation.

A knowledge-based control system for air-scour optimisation in membrane bioreactors.

PubMed

Ferrero, G; Monclús, H; Sancho, L; Garrido, J M; Comas, J; Rodríguez-Roda, I

2011-01-01

Although membrane bioreactors (MBRs) technology is still a growing sector, its progressive implementation all over the world, together with great technical achievements, has allowed it to reach a mature degree, just comparable to other more conventional wastewater treatment technologies. With current energy requirements around 0.6-1.1 kWh/m3 of treated wastewater and investment costs similar to conventional treatment plants, main market niche for MBRs can be areas with very high restrictive discharge limits, where treatment plants have to be compact or where water reuse is necessary. Operational costs are higher than for conventional treatments; consequently there is still a need and possibilities for energy saving and optimisation. This paper presents the development of a knowledge-based decision support system (DSS) for the integrated operation and remote control of the biological and physical (filtration and backwashing or relaxation) processes in MBRs. The core of the DSS is a knowledge-based control module for air-scour consumption automation and energy consumption minimisation.

An American knowledge base in England - Alternate implementations of an expert system flight status monitor

NASA Technical Reports Server (NTRS)

Butler, G. F.; Graves, A. T.; Disbrow, J. D.; Duke, E. L.

1989-01-01

A joint activity between the Dryden Flight Research Facility of the NASA Ames Research Center (Ames-Dryden) and the Royal Aerospace Establishment (RAE) on knowledge-based systems has been agreed. Under the agreement, a flight status monitor knowledge base developed at Ames-Dryden has been implemented using the real-time AI (artificial intelligence) toolkit MUSE, which was developed in the UK. Here, the background to the cooperation is described and the details of the flight status monitor and a prototype MUSE implementation are presented. It is noted that the capabilities of the expert-system flight status monitor to monitor data downlinked from the flight test aircraft and to generate information on the state and health of the system for the test engineers provides increased safety during flight testing of new systems. Furthermore, the expert-system flight status monitor provides the systems engineers with ready access to the large amount of information required to describe a complex aircraft system.

SHINE Virtual Machine Model for In-flight Updates of Critical Mission Software

NASA Technical Reports Server (NTRS)

Plesea, Lucian

2008-01-01

This software is a new target for the Spacecraft Health Inference Engine (SHINE) knowledge base that compiles a knowledge base to a language called Tiny C - an interpreted version of C that can be embedded on flight processors. This new target allows portions of a running SHINE knowledge base to be updated on a "live" system without needing to halt and restart the containing SHINE application. This enhancement will directly provide this capability without the risk of software validation problems and can also enable complete integration of BEAM and SHINE into a single application. This innovation enables SHINE deployment in domains where autonomy is used during flight-critical applications that require updates. This capability eliminates the need for halting the application and performing potentially serious total system uploads before resuming the application with the loss of system integrity. This software enables additional applications at JPL (microsensors, embedded mission hardware) and increases the marketability of these applications outside of JPL.

The AI Bus architecture for distributed knowledge-based systems

NASA Technical Reports Server (NTRS)

Schultz, Roger D.; Stobie, Iain

1991-01-01

The AI Bus architecture is layered, distributed object oriented framework developed to support the requirements of advanced technology programs for an order of magnitude improvement in software costs. The consequent need for highly autonomous computer systems, adaptable to new technology advances over a long lifespan, led to the design of an open architecture and toolbox for building large scale, robust, production quality systems. The AI Bus accommodates a mix of knowledge based and conventional components, running on heterogeneous, distributed real world and testbed environment. The concepts and design is described of the AI Bus architecture and its current implementation status as a Unix C++ library or reusable objects. Each high level semiautonomous agent process consists of a number of knowledge sources together with interagent communication mechanisms based on shared blackboards and message passing acquaintances. Standard interfaces and protocols are followed for combining and validating subsystems. Dynamic probes or demons provide an event driven means for providing active objects with shared access to resources, and each other, while not violating their security.

Prototype of a Standards-Based EHR and Genetic Test Reporting Tool Coupled with HL7-Compliant Infobuttons

PubMed Central

Crump, Jacob K.; Del Fiol, Guilherme; Williams, Marc S.; Freimuth, Robert R.

2018-01-01

Integration of genetic information is becoming increasingly important in clinical practice. However, genetic information is often ambiguous and difficult to understand, and clinicians have reported low-self-efficacy in integrating genetics into their care routine. The Health Level Seven (HL7) Infobutton standard helps to integrate online knowledge resources within Electronic Health Records (EHRs) and is required for EHR certification in the US. We implemented a prototype of a standards-based genetic reporting application coupled with infobuttons leveraging the Infobutton and Fast Healthcare Interoperability Resources (FHIR) Standards. Infobutton capabilities were provided by Open Infobutton, an open source package compliant with the HL7 Infobutton Standard. The resulting prototype demonstrates how standards-based reporting of genetic results, coupled with curated knowledge resources, can provide dynamic access to clinical knowledge on demand at the point of care. The proposed functionality can be enabled within any EHR system that has been certified through the US Meaningful Use program.

On-line ethics education for occupational therapy clinician-educators: a single-group pre-/post-test study.

PubMed

VanderKaay, Sandra; Letts, Lori; Jung, Bonny; Moll, Sandra E

2018-05-20

Ethics education is a critical component of training rehabilitation practitioners. There is a need for capacity-building among ethics educators regarding facilitating ethical decision-making among students. The purpose of this study was to evaluate the utility of an on-line ethics education module for occupational therapy clinician-educators (problem-based learning tutors/clinical placement preceptors/evidence-based practice facilitators). The Knowledge-to-Action Process informed development and evaluation of the module. Clinician-educators (n = 33) viewed the module and reported on its impact on knowledge and facilitation practices via pre, post, and follow-up questionnaires. Pre- and post-test data indicated improvement in self-reported ethics knowledge (t = 8.275, p < 0.01). Follow-up data indicated knowledge did not decrease over time (t = -1.483, p = 0.075). There was improvement in self-reported intent to change practice (t = 4.93, p < 0.01); however, actual practice change was not indicated (t = -1.499, p = 0.072). This study provides preliminary data regarding an on-line ethics education module for clinician-educators. Future recommendations include broader consideration of context, adding supplemental knowledge translation components, and further research exploring outcomes with larger samples, longer follow-up and randomized trial methodology. Implications for Rehabilitation The on-line ethics module has potential to improve rehabilitation practice by addressing the noted gap in knowledge among clinician-educators. Viewing an on-line module regarding approaches to ethics education may not be sufficient to change clinician-educators' teaching practices. More time and opportunities to discuss ethics with student occupational therapists may be required to effect practice change among clinician-educators. Developing ethics education tools for clinician-educators requires ongoing and iterative input from knowledge users to optimize translation of ideas to practice.

Patent databases and analytical tools for space technology commercialization (Part 2)

NASA Astrophysics Data System (ADS)

Hulsey, William N., III

2002-07-01

A shift in the space industry has occurred that requires technology developers to understand the basics of the intellectual property laws; Global harmonization facilitates this understanding; internet-based tools enable knowledge of these rights and the facts affecting them.

10 CFR 100.1 - Purpose.

Code of Federal Regulations, 2010 CFR

2010-01-01

... approval requirements for proposed sites for stationary power and testing reactors subject to part 50 or part 52 of this chapter. (b) There exists a substantial base of knowledge regarding power reactor... approach incorporates the appropriate standards and criteria for approval of stationary power and testing...

Remote and Onsite Direct Measurements of Emissions from Oil and Natural Gas Production

EPA Science Inventory

Environmentally responsible oil and gas production requires accurate knowledge of emissions from long-term production operations1, which can include methane, volatile organic compounds, and hazardous air pollutants. Well pad emissions vary based on the geologically-determined com...

13 CFR 315.16 - Adjustment proposal requirements.

Code of Federal Regulations, 2010 CFR

2010-01-01

... OF COMMERCE TRADE ADJUSTMENT ASSISTANCE FOR FIRMS Adjustment Proposals § 315.16 Adjustment proposal... reasonably calculated to contribute materially to the economic adjustment of the Firm (i.e., that such... generally consists of knowledge-based services such as market penetration studies, customized business...

Factors influencing rural and urban emergency clinicians' participation in an online knowledge exchange intervention.

PubMed

Curran, Janet A; Murphy, Andrea L; Sinclair, Douglas; McGrath, Patrick

2013-01-01

Rural emergency departments (EDs) generally have limited access to continuing education and are typically staffed by clinicians without pediatric emergency specialty training. Emergency care of children is complex and the majority of children receive emergency care in non-pediatric tertiary care centers. In recent decades, there has been a call to action to improve quality and safety in the emergency care of children. Of the one million ED visits by children in Ontario in 2005-2006, one in three visited more than once in a year and one in 15 returned to the ED within 72 hours of the index visit. This study explored factors influencing rural and urban ED clinicians' participation in a Web-based knowledge exchange intervention that focused on best practice knowledge about pediatric emergency care. The following questions guided the study: (i) What are the individual, context of practice or knowledge factors which impact a clinician's decision to participate in a Web-based knowledge exchange intervention?; (ii) What are clinicians' perceptions of organizational expectations regarding knowledge and information sources to be used in practice?; and (iii) What are the preferred knowledge sources of rural and urban emergency clinicians? A Web-based knowledge exchange intervention, the Pediatric Emergency Care Web Based Knowledge Exchange Project, for rural and urban ED clinicians was developed. The website contained 12 pediatric emergency practice learning modules with linked asynchronous discussion forums. The topics for the modules were determined through a needs assessment and the module content was developed by known experts in the field. A follow-up survey was sent to a convenience sample of 187 clinicians from nine rural and two urban Canadian EDs participating in the pediatric emergency Web-based knowledge exchange intervention study. The survey response rate was 56% (105/187). Participation in the knowledge exchange intervention was related to individual involvement in research activities (χ(2)=5.23, p=0.019), consultation with colleagues from other EDs (χ(2)=6.37, p=0.01) and perception of organizational expectations to use research evidence to guide practice (χ(2)=5.52, p=0.015). Most clinicians (95/105 or 92%) reported relying on colleagues from their own ED as a primary knowledge source. Urban clinicians were more likely than their rural counterparts to perceive that use of research evidence to guide practice was an expectation. Rural clinicians were more likely to rely on physicians from their own ED as a preferred knowledge source. The decision made by emergency clinicians to participate in a Web-based knowledge exchange intervention was influenced by a number of individual and contextual factors. Differences in these factors and preferences for knowledge sources require further characterization to enhance engagement of rural ED clinicians in online knowledge exchange interventions.

Design of a Hypermedia-Based Educating System for the Construction of Knowledge

DTIC Science & Technology

1989-09-01

the variety they confront, promote short-term learning . This thesis provides the required background for developing an educating system which promotes...an effective educating system stems frm ever-increasing requirements for learning . Ine Total Quality Management (TQM) program, a Department of Defense...Japan has realized that best efforts ’nly pay off when the workforce is properly educated . Learning has become a pivotal element in the Japanese

Development and evaluation of a predictive algorithm for telerobotic task complexity

NASA Technical Reports Server (NTRS)

Gernhardt, M. L.; Hunter, R. C.; Hedgecock, J. C.; Stephenson, A. G.

1993-01-01

There is a wide range of complexity in the various telerobotic servicing tasks performed in subsea, space, and hazardous material handling environments. Experience with telerobotic servicing has evolved into a knowledge base used to design tasks to be 'telerobot friendly.' This knowledge base generally resides in a small group of people. Written documentation and requirements are limited in conveying this knowledge base to serviceable equipment designers and are subject to misinterpretation. A mathematical model of task complexity based on measurable task parameters and telerobot performance characteristics would be a valuable tool to designers and operational planners. Oceaneering Space Systems and TRW have performed an independent research and development project to develop such a tool for telerobotic orbital replacement unit (ORU) exchange. This algorithm was developed to predict an ORU exchange degree of difficulty rating (based on the Cooper-Harper rating used to assess piloted operations). It is based on measurable parameters of the ORU, attachment receptacle and quantifiable telerobotic performance characteristics (e.g., link length, joint ranges, positional accuracy, tool lengths, number of cameras, and locations). The resulting algorithm can be used to predict task complexity as the ORU parameters, receptacle parameters, and telerobotic characteristics are varied.

Defending the social value of knowledge as a safeguard for public trust.

PubMed

Holzer, Felicitas S

2017-09-01

The 'socially valuable knowledge' (SVK) principle has been widely acknowledged as one of the most important guiding principles for biomedical research involving human subjects. The principle states that the potential of producing socially valuable knowledge is a necessary requirement, although not sufficient, for the ethical conduct of research projects. This is due to the assumption that the social value of knowledge avoids exploitation of research subjects and justifies the use of health resources. However, more recently, several authors have started interrogating the validity of SVK in research and offered various lines of argument against the SVK principle as a necessary constraint to research. In this article, I will reconstruct the main arguments of this discussion between defenders and debunkers of the SVK principle and offer a third way to consider the social value of knowledge in research studies. I will argue that the social value of knowledge can be supported by an independent justification. This justification of the SVK principle addresses the rationality and common interest of researchers. Thus, I will introduce the SVK principle as a safeguarding principle for public trust based on a conceptual framework by Alex John London. My approach justifies keeping the principle as a precautionary and rational requirement for human health research that all rational stakeholders can agree upon. © 2017 John Wiley & Sons Ltd.

Breast surface estimation for radar-based breast imaging systems.

PubMed

Williams, Trevor C; Sill, Jeff M; Fear, Elise C

2008-06-01

Radar-based microwave breast-imaging techniques typically require the antennas to be placed at a certain distance from or on the breast surface. This requires prior knowledge of the breast location, shape, and size. The method proposed in this paper for obtaining this information is based on a modified tissue sensing adaptive radar algorithm. First, a breast surface detection scan is performed. Data from this scan are used to localize the breast by creating an estimate of the breast surface. If required, the antennas may then be placed at specified distances from the breast surface for a second tumor-sensing scan. This paper introduces the breast surface estimation and antenna placement algorithms. Surface estimation and antenna placement results are demonstrated on three-dimensional breast models derived from magnetic resonance images.

Engineering large-scale agent-based systems with consensus

NASA Technical Reports Server (NTRS)

Bokma, A.; Slade, A.; Kerridge, S.; Johnson, K.

1994-01-01

The paper presents the consensus method for the development of large-scale agent-based systems. Systems can be developed as networks of knowledge based agents (KBA) which engage in a collaborative problem solving effort. The method provides a comprehensive and integrated approach to the development of this type of system. This includes a systematic analysis of user requirements as well as a structured approach to generating a system design which exhibits the desired functionality. There is a direct correspondence between system requirements and design components. The benefits of this approach are that requirements are traceable into design components and code thus facilitating verification. The use of the consensus method with two major test applications showed it to be successful and also provided valuable insight into problems typically associated with the development of large systems.

Competency-Based Framework and Continuing Education for Preparing a Skilled School Health Workforce for Asthma Care: The Colorado Experience

ERIC Educational Resources Information Center

Cicutto, Lisa; Gleason, Melanie; Haas-Howard, Christy; Jenkins-Nygren, Lynn; Labonde, Susan; Patrick, Kathy

2017-01-01

School health teams commonly address the needs of students with asthma, which requires specific knowledge and skills. To develop a skilled school health team, a competency-based framework for managing asthma in schools was developed. A modified Delphi with 31 panelists was completed. Consensus (=80% agreement) was reached for all 148 items…

Student Teachers' Workplace-Based Learning in Sweden on Early Childhood Education for Sustainability: Experiences in Practice Settings

ERIC Educational Resources Information Center

Ärlemalm-Hagsér, Eva

2017-01-01

Workplace-based learning experiences are integral to early childhood teacher education. In Sweden, the objectives of early childhood teacher education programmes require students to develop knowledge and skills about education for sustainability (EfS), in accordance with national policy documents. This includes how to work with EfS in everyday…

Assessing Gains in Science Teaching Self-Efficacy after Completing an Inquiry-Based Earth Science Course

ERIC Educational Resources Information Center

Gray, Kyle

2017-01-01

Preservice elementary teachers are often required to take an Earth Science content course as part of their teacher education program but typically enter the course with little knowledge of key Earth Science concepts and are uncertain in their ability to teach science. This study investigated whether completing an inquiry-based Earth Science course…

The Effects of Interactive Storybook Reading with Preschoolers Who Are Deaf and Hard-of-Hearing

ERIC Educational Resources Information Center

Trussell, Jessica W.; Dunagan, Janna; Kane, Joy; Cascioli, Toni

2017-01-01

Vocabulary is a consistent predictor of reading achievement for deaf and hard-of-hearing (DHH) children. DHH children tend to have a smaller vocabulary knowledge base than their hearing peers and require direct instruction in this area. There are no evidence-based vocabulary instruction strategies for this population. One reason for the lack of an…