Science.gov

Sample records for model project knowledge

  1. Challenges in Mentoring Software Development Projects in the High School: Analysis According to Shulman's Teacher Knowledge Base Model

    ERIC Educational Resources Information Center

    Meerbaum-Salant, Orni; Hazzan, Orit

    2009-01-01

    This paper focuses on challenges in mentoring software development projects in the high school and analyzes difficulties encountered by Computer Science teachers in the mentoring process according to Shulman's Teacher Knowledge Base Model. The main difficulties that emerged from the data analysis belong to the following knowledge sources of…

  2. Knowledge Management in Sustainability Research Projects: Concepts, Effective Models, and Examples in a Multi-Stakeholder Environment

    ERIC Educational Resources Information Center

    Kaiser, David Brian; Köhler, Thomas; Weith, Thomas

    2016-01-01

    This article aims to sketch a conceptual design for an information and knowledge management system in sustainability research projects. The suitable frameworks to implement knowledge transfer models constitute social communities, because the mutual exchange and learning processes among all stakeholders promote key sustainable developments through…

  3. Knowledge Management as an Indication of Organizational Maturity in Project Management: An Enhancement of the OPM3(c) Model

    ERIC Educational Resources Information Center

    Smith, Dedrick A.

    2010-01-01

    This dissertation reviews the knowledge management's role in organizational maturity in project management. It draws a direct linked between organizational maturity knowledge channels both informal and then formal and organizational project management maturity. The study uses a mixed method approach through online and telephone surveys that draws…

  4. The Intelligent Ventilator (INVENT) project: the role of mathematical models in translating physiological knowledge into clinical practice.

    PubMed

    Rees, Stephen E

    2011-12-01

    This dissertation has addressed the broad hypothesis as to whether building mathematical models is useful as a tool for translating physiological knowledge into clinical practice. In doing so it describes work on the INtelligent VENTilator project (INVENT), the goal of which is to build, evaluate and integrate into clinical practice, a model-based decision support system for control of mechanical ventilation. The dissertation describes the mathematical models included in INVENT, i.e. a model of pulmonary gas exchange focusing on oxygen transport, and a model of the acid-base status of blood, interstitial fluid and tissues. These models have been validated, and applied in two other systems: ALPE, a system for measuring pulmonary gas exchange and ARTY, a system for arterialisation of the acid-base and oxygen status of peripheral venous blood. The major contributions of this work are as follows. A mathematical model has been developed which can describe pulmonary gas exchange more accurately that current clinical techniques. This model is parsimonious in that it can describe pulmonary gas exchange from measurements easily available in the clinic, along with a readily automatable variation in F(I)O(2). This technique and model have been developed into a research and commercial tool (ALPE), and evaluated both in the clinical setting and when compared to the reference multiple inert gas elimination technique (MIGET). Mathematical models have been developed of the acid- base chemistry of blood, interstitial fluid and tissues, with these models formulated using a mass-action mass-balance approach. The model of blood has been validated against literature data describing the addition and removal of CO(2), strong acid or base, and haemoglobin; and the effects of oxygenation or deoxygenation. The model has also been validated in new studies, and shown to simulate accurately and precisely the mixing of blood samples at different PCO(2) and PO(2) levels. This model of acid

  5. Knowledge and information modeling.

    PubMed

    Madsen, Maria

    2010-01-01

    This chapter gives an educational overview of: * commonly used modelling methods what they represent * the importance of selecting the tools and methods suited to the health information system being designed * how the quality of the information or knowledge model is determined by the quality of the system requirements specification * differentiating between the purpose of information models and knowledge models * the benefits of the openEHR approach for health care data modeling.

  6. The BBN Knowledge Acquisition Project

    DTIC Science & Technology

    1988-09-01

    Optation 17 S . Large-Scale Revisions of Knowledge Bases 19 5.1 The Macro and Structure Editor 19 5.2 Developing Macro Editing Procedre 20 5.2.1 Macro...consistency checking foreach style of representaton easier and mote efficient, so that knowledge engineers and subject matter expert s can work together to... s ~Ta OIM-iJC ~Va Coetnin: MILECSXCT 8.1.3.1 Local Comumand Menus Anytime ICREM ais~laying a view of a particular kind of knowledge , the State Winsdow

  7. MSFC Propulsion Systems Department Knowledge Management Project

    NASA Technical Reports Server (NTRS)

    Caraccioli, Paul A.

    2007-01-01

    This slide presentation reviews the Knowledge Management (KM) project of the Propulsion Systems Department at Marshall Space Flight Center. KM is needed to support knowledge capture, preservation and to support an information sharing culture. The presentation includes the strategic plan for the KM initiative, the system requirements, the technology description, the User Interface and custom features, and a search demonstration.

  8. Multidisciplinary Knowledge Transfer in Training Multimedia Projects

    ERIC Educational Resources Information Center

    Freyens, Benoit; Martin, Marguerite

    2007-01-01

    Purpose--Training multimedia projects often face identical knowledge-transfer obstacles that partly originate in the multidisciplinarity of the project team. The purpose of this paper is to describe these difficulties and the tools used to overcome them. In particular, the aim is to show how elements of cognitive psychology theory (concept maps,…

  9. [Models of self knowledge].

    PubMed

    Orlando, Eleonora

    2005-01-01

    The main purpose of this paper is to analyze some different explanatory models of self - knowledge, belonging to Contemporary analytic philosophy. As a starting point, I will focus on self-ascriptions of mental states of the likes of "I have a headache", "I am thinking about my son", "I desire to shock my father", namely, the so-called "avowals". In the first part, I will point out what I take to be the set of characteristics of avowals that any theory about self-knowledge should account for. In the second part, I will present and contrast with one another the main theoretical explanatory models that have been put forward to give the required account.

  10. Standard model of knowledge representation

    NASA Astrophysics Data System (ADS)

    Yin, Wensheng

    2016-09-01

    Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

  11. Eliciting climate experts' knowledge to address model uncertainties in regional climate projections: a case study of Guanacaste, Northwest Costa Rica

    NASA Astrophysics Data System (ADS)

    Grossmann, I.; Steyn, D. G.

    2014-12-01

    Global general circulation models typically cannot provide the detailed and accurate regional climate information required by stakeholders for climate adaptation efforts, given their limited capacity to resolve the regional topography and changes in local sea surface temperature, wind and circulation patterns. The study region in Northwest Costa Rica has a tropical wet-dry climate with a double-peak wet season. During the dry season the central Costa Rican mountains prevent tropical Atlantic moisture from reaching the region. Most of the annual precipitation is received following the northward migration of the ITCZ in May that allows the region to benefit from moist southwesterly flow from the tropical Pacific. The wet season begins with a short period of "early rains" and is interrupted by the mid-summer drought associated with the intensification and westward expansion of the North Atlantic subtropical high in late June. Model projections for the 21st century indicate a lengthening and intensification of the mid-summer drought and a weakening of the early rains on which current crop cultivation practices rely. We developed an expert elicitation to systematically address uncertainties in the available model projections of changes in the seasonal precipitation pattern. Our approach extends an elicitation approach developed previously at Carnegie Mellon University. Experts in the climate of the study region or Central American climate were asked to assess the mechanisms driving precipitation during each part of the season, uncertainties regarding these mechanisms, expected changes in each mechanism in a warming climate, and the capacity of current models to reproduce these processes. To avoid overconfidence bias, a step-by-step procedure was followed to estimate changes in the timing and intensity of precipitation during each part of the season. The questions drew upon interviews conducted with the regions stakeholders to assess their climate information needs. This

  12. Knowledge modeling for software design

    NASA Technical Reports Server (NTRS)

    Shaw, Mildred L. G.; Gaines, Brian R.

    1992-01-01

    This paper develops a modeling framework for systems engineering that encompasses systems modeling, task modeling, and knowledge modeling, and allows knowledge engineering and software engineering to be seen as part of a unified developmental process. This framework is used to evaluate what novel contributions the 'knowledge engineering' paradigm has made and how these impact software engineering.

  13. Enhancing Knowledge Integration: An Information System Capstone Project

    ERIC Educational Resources Information Center

    Steiger, David M.

    2009-01-01

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

  14. Adaptive Knowledge Management of Project-Based Learning

    ERIC Educational Resources Information Center

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

    The goal of an approach to Adaptive Knowledge Management (AKM) of project-based learning (PBL) is to intensify subject study through guiding, inducing, and facilitating development knowledge, accountability skills, and collaborative skills of students. Knowledge development is attained by knowledge acquisition, knowledge sharing, and knowledge…

  15. School Astronomy Club: from Project to Knowledge

    NASA Astrophysics Data System (ADS)

    Folhas, Alvaro

    2016-04-01

    Prepare a generation of young people for the challenges of the future is a task which forces us to rethink the school, not just for being difficult, but also because students feel that the school has very little to offer, especially something that interests them. Thus, the school is dysfunctional, is ill, and needs prompt treatment. School have to adjust to the new times, and this does not mean changing the old blackboards by advanced interactive whiteboards. The school has to find the way to the students with something that seduce them: the Challenge. The Astronomy Club that I lead in my school is essentially a Project space. Students who voluntarily joined the club, organize themselves according to their interests around projects whose outcome is not defined from the beginning, which requires them to do, undo and redo. Which obliges them to feel the need to ask for help to mathematics or physics to achieve answers, to feel the passion to study with a genuine purpose of learning. Some examples of the work: The younger students are challenged to reproduce the historical astronomical experiments that have opened the doors of knowledge such as the Eratosthenes experiment to determine the perimeter of the Earth (on equinox), or by using congruent triangles, determine the diameter the sun. These students are driven to establish distance scales in the solar system, which, to their astonishment, allows them to clear misconceptions that arise from some pictures of books and allows them to have a scientifically correct idea of the planetary orbit and distance separating the planets of the Solar System. For students from 15 to 18 years, I have to raise the level of the challenges and use the natural tendency of this age bracket to assert making new and exciting things. To this purpose, I am fortunate to have the support of large organizations like NUCLIO, ESA, CERN, and Go-Lab Project, Inspiring Science Education, Open Discovery Space and Global Hands on Universe. Through

  16. Knowledge Encapsulation Framework for Collaborative Social Modeling

    SciTech Connect

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-03-24

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable knowledge inputs (relevant, domain-specific facts) to modeling and simulation projects, as well as other domains that require effective collaborative workspaces for knowledge-based task. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  17. Project-Based Learning and the Limits of Corporate Knowledge.

    ERIC Educational Resources Information Center

    Rhodes, Carl; Garrick, John

    2003-01-01

    Analysis of management discourses, especially project-based learning and knowledge management, indicates that such terms as human capital, working knowledge, and knowledge assets construe managerial workers as cogito-economic subjects. Although workplace learning should develop economically related capabilities, such discourses imply that these…

  18. Modeling Research Project Risks with Fuzzy Maps

    ERIC Educational Resources Information Center

    Bodea, Constanta Nicoleta; Dascalu, Mariana Iuliana

    2009-01-01

    The authors propose a risks evaluation model for research projects. The model is based on fuzzy inference. The knowledge base for fuzzy process is built with a causal and cognitive map of risks. The map was especially developed for research projects, taken into account their typical lifecycle. The model was applied to an e-testing research…

  19. Knowledge Growth: Applied Models of General and Individual Knowledge Evolution

    ERIC Educational Resources Information Center

    Silkina, Galina Iu.; Bakanova, Svetlana A.

    2016-01-01

    The article considers the mathematical models of the growth and accumulation of scientific and applied knowledge since it is seen as the main potential and key competence of modern companies. The problem is examined on two levels--the growth and evolution of objective knowledge and knowledge evolution of a particular individual. Both processes are…

  20. Managing Project Landscapes in Knowledge-Based Enterprises

    NASA Astrophysics Data System (ADS)

    Stantchev, Vladimir; Franke, Marc Roman

    Knowledge-based enterprises are typically conducting a large number of research and development projects simultaneously. This is a particularly challenging task in complex and diverse project landscapes. Project Portfolio Management (PPM) can be a viable framework for knowledge and innovation management in such landscapes. A standardized process with defined functions such as project data repository, project assessment, selection, reporting, and portfolio reevaluation can serve as a starting point. In this work we discuss the benefits a multidimensional evaluation framework can provide for knowledge-based enterprises. Furthermore, we describe a knowledge and learning strategy and process in the context of PPM and evaluate their practical applicability at different stages of the PPM process.

  1. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 10: The NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

    1991-01-01

    The role of the NASA/DOD Aerospace Knowledge DIffusion Research Project in helping to maintain U.S. competitiveness is addressed. The phases of the project are examined in terms of the focus, emphasis, subjects, methods, and desired outcomes. The importance of the project to aerospace R&D is emphasized.

  2. Modeling Guru: Knowledge Base for NASA Modelers

    NASA Astrophysics Data System (ADS)

    Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.

    2009-05-01

    Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the

  3. Modeling children's early grammatical knowledge.

    PubMed

    Bannard, Colin; Lieven, Elena; Tomasello, Michael

    2009-10-13

    Theories of grammatical development differ in how much abstract knowledge they attribute to young children. Here, we report a series of experiments using a computational model to evaluate the explanatory power of child grammars based not on abstract rules but on concrete words and phrases and some local abstractions associated with these words and phrases. We use a Bayesian procedure to extract such item-based grammars from transcriptions of 28+ h of each of two children's speech at 2 and 3 years of age. We then use these grammars to parse all of the unique multiword utterances from transcriptions of separate recordings of these same children at each of the two ages. We found that at 2 years of age such a model had good coverage and predictive fit, with the children showing radically limited productivity. Furthermore, adding expert-annotated parts of speech to the induction procedure had little effect on coverage, with the exception of the category of noun. At age 3, the children's productivity sharply increased and the addition of a verb and a noun category markedly improved the model's performance.

  4. VHBuild.com: A Web-Based System for Managing Knowledge in Projects.

    ERIC Educational Resources Information Center

    Li, Heng; Tang, Sandy; Man, K. F.; Love, Peter E. D.

    2002-01-01

    Describes an intelligent Web-based construction project management system called VHBuild.com which integrates project management, knowledge management, and artificial intelligence technologies. Highlights include an information flow model; time-cost optimization based on genetic algorithms; rule-based drawing interpretation; and a case-based…

  5. Computational Everyday Life Human Behavior Model as Servicable Knowledge

    NASA Astrophysics Data System (ADS)

    Motomura, Yoichi; Nishida, Yoshifumi

    A project called `Open life matrix' is not only a research activity but also real problem solving as an action research. This concept is realized by large-scale data collection, probabilistic causal structure model construction and information service providing using the model. One concrete outcome of this project is childhood injury prevention activity in new team consist of hospital, government, and many varieties of researchers. The main result from the project is a general methodology to apply probabilistic causal structure models as servicable knowledge for action research. In this paper, the summary of this project and future direction to emphasize action research driven by artificial intelligence technology are discussed.

  6. Image-based 3D modeling for the knowledge and the representation of archaeological dig and pottery: Sant'Omobono and Sarno project's strategies

    NASA Astrophysics Data System (ADS)

    Gianolio, S.; Mermati, F.; Genovese, G.

    2014-06-01

    This paper presents a "standard" method that is being developed by ARESlab of Rome's La Sapienza University for the documentation and the representation of the archaeological artifacts and structures through automatic photogrammetry software. The image-based 3D modeling technique was applied in two projects: in Sarno and in Rome. The first is a small city in Campania region along Via Popilia, known as the ancient way from Capua to Rhegion. The interest in this city is based on the recovery of over 2100 tombs from local necropolis that contained more than 100.000 artifacts collected in "Museo Nazionale Archeologico della Valle del Sarno". In Rome the project regards the archaeological area of Insula Volusiana placed in Forum Boarium close to Sant'Omobono sacred area. During the studies photographs were taken by Canon EOS 5D Mark II and Canon EOS 600D cameras. 3D model and meshes were created in Photoscan software. The TOF-CW Z+F IMAGER® 5006h laser scanner is used to dense data collection of archaeological area of Rome and to make a metric comparison between range-based and image-based techniques. In these projects the IBM as a low-cost technique proved to be a high accuracy improvement if planned correctly and it shown also how it helps to obtain a relief of complex strata and architectures compared to traditional manual documentation methods (e.g. two-dimensional drawings). The multidimensional recording can be used for future studies of the archaeological heritage, especially for the "destructive" character of an excavation. The presented methodology is suitable for the 3D registration and the accuracy of the methodology improved also the scientific value.

  7. The Aries Project for Rule-Based-Design Knowledge Acquisition,

    DTIC Science & Technology

    1995-06-01

    because of the project’s association with the RAMS. The ram is the symbol of the astrological sign of Aries. 1-2 Design rules—those that every...knowledge acquisition technique for future rule capture projects for other design areas; and devise training material . The Participating Companies...in the process. It was determined that design rules would be categorized by Material , Analog, Digital, Global, and Part Selection, while design

  8. Chemistry Teachers' Knowledge and Application of Models

    ERIC Educational Resources Information Center

    Wang, Zuhao; Chi, Shaohui; Hu, Kaiyan; Chen, Wenting

    2014-01-01

    Teachers' knowledge and application of model play an important role in students' development of modeling ability and scientific literacy. In this study, we investigated Chinese chemistry teachers' knowledge and application of models. Data were collected through test questionnaire and analyzed quantitatively and qualitatively. The result indicated…

  9. High School Students' Meta-Modeling Knowledge

    ERIC Educational Resources Information Center

    Fortus, David; Shwartz, Yael; Rosenfeld, Sherman

    2016-01-01

    Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper…

  10. A knowledge generation model via the hypernetwork.

    PubMed

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

    2014-01-01

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

  11. Properties of the Bayesian Knowledge Tracing Model

    ERIC Educational Resources Information Center

    van de Sande, Brett

    2013-01-01

    Bayesian Knowledge Tracing is used very widely to model student learning. It comes in two different forms: The first form is the Bayesian Knowledge Tracing "hidden Markov model" which predicts the probability of correct application of a skill as a function of the number of previous opportunities to apply that skill and the model…

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

    PubMed

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

    2017-03-01

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

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

    NASA Astrophysics Data System (ADS)

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

    2017-03-01

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

  14. Supporting Students' Knowledge Transfer in Modeling Activities

    ERIC Educational Resources Information Center

    Piksööt, Jaanika; Sarapuu, Tago

    2014-01-01

    This study investigates ways to enhance secondary school students' knowledge transfer in complex science domains by implementing question prompts. Two samples of students applied two web-based models to study molecular genetics--the model of genetic code (n = 258) and translation (n = 245). For each model, the samples were randomly divided into…

  15. Student Models for Prior Knowledge Estimation

    ERIC Educational Resources Information Center

    Nižnan, Juraj; Pelánek, Radek; Rihák, Jirí

    2015-01-01

    Intelligent behavior of adaptive educational systems is based on student models. Most research in student modeling focuses on student learning (acquisition of skills). We focus on prior knowledge, which gets much less attention in modeling and yet can be highly varied and have important consequences for the use of educational systems. We describe…

  16. A light knowledge model for linguistic applications.

    PubMed

    Baud, R H; Lovis, C; Ruch, P; Rassinoux, A M

    2001-01-01

    Content extraction from medical texts is achievable today by linguistic applications, in so far as sufficient domain knowledge is available. Such knowledge represents a model of the domain and is hard to collect with sufficient depth and good coverage, despite numerous attempts. To leverage this task is a priority in order to benefit from the awaited linguistic tools. The light model is designed with this goal in mind. Syntactic and lexical information are generally available with large lexicons. A domain model should add the necessary semantic information. The authors have designed a light knowledge model for the collection of semantic information on the basis of the recognized syntactical and lexical attributes. It has been tailored for the acquisition of enough semantic information in order to retrieve terms of a controlled vocabulary from free texts, as for example, to retrieve Mesh terms from patient records.

  17. Evolutionary model with genetics, aging, and knowledge

    NASA Astrophysics Data System (ADS)

    Bustillos, Armando Ticona; de Oliveira, Paulo Murilo

    2004-02-01

    We represent a process of learning by using bit strings, where 1 bits represent the knowledge acquired by individuals. Two ways of learning are considered: individual learning by trial and error, and social learning by copying knowledge from other individuals or from parents in the case of species with parental care. The age-structured bit string allows us to study how knowledge is accumulated during life and its influence over the genetic pool of a population after many generations. We use the Penna model to represent the genetic inheritance of each individual. In order to study how the accumulated knowledge influences the survival process, we include it to help individuals to avoid the various death situations. Modifications in the Verhulst factor do not show any special feature due to its random nature. However, by adding years to life as a function of the accumulated knowledge, we observe an improvement of the survival rates while the genetic fitness of the population becomes worse. In this latter case, knowledge becomes more important in the last years of life where individuals are threatened by diseases. Effects of offspring overprotection and differences between individual and social learning can also be observed. Sexual selection as a function of knowledge shows some effects when fidelity is imposed.

  18. Knowledge management model for teleconsulting in telemedicine.

    PubMed

    Pico, Lilia Edith Aparicio; Cuenca, Orlando Rodriguez; Alvarez, Daniel José Salas; Salgado, Piere Augusto Peña

    2008-01-01

    The present article shows a study about requirements for teleconsulting in a telemedicine solution in order to create a knowledge management system. Several concepts have been found related to the term teleconsulting in telemedicine which will serve to clear up their corresponding applications, potentialities, and scope. Afterwards, different theories about the art state in knowledge management have been considered by exploring methodologies and architectures to establish the trends of knowledge management and the possibilities of using them in teleconsulting. Furthermore, local and international experiences have been examined to assess knowledge management systems focused on telemedicine. The objective of this study is to obtain a model for developing teleconsulting systems in Colombia because we have many health-information management systems but they don't offer telemedicine services for remote areas. In Colombia there are many people in rural areas with different necessities and they don't have medicine services, teleconsulting will be a good solution to this problem. Lastly, a model of a knowledge system is proposed for teleconsulting in telemedicine. The model has philosophical principles and architecture that shows the fundamental layers for its development.

  19. Knowledge Base Management for Model Management Systems.

    DTIC Science & Technology

    1983-06-01

    inter- faces as they relate to aspects of model base management. The focus of this study is to identify some organiza- tions of knowledge about models...Vertical thinking is loosely related to systemic thinking, where one idea establishes a logical foundation upon which to construct the next idea...thinking is somewhat associated with creative thinking, and the idea of pattern matching from one circumstance to another. Mintzberg IRef. 41 has related

  20. A knowledge discovery object model API for Java

    PubMed Central

    Zuyderduyn, Scott D; Jones, Steven JM

    2003-01-01

    Background Biological data resources have become heterogeneous and derive from multiple sources. This introduces challenges in the management and utilization of this data in software development. Although efforts are underway to create a standard format for the transmission and storage of biological data, this objective has yet to be fully realized. Results This work describes an application programming interface (API) that provides a framework for developing an effective biological knowledge ontology for Java-based software projects. The API provides a robust framework for the data acquisition and management needs of an ontology implementation. In addition, the API contains classes to assist in creating GUIs to represent this data visually. Conclusions The Knowledge Discovery Object Model (KDOM) API is particularly useful for medium to large applications, or for a number of smaller software projects with common characteristics or objectives. KDOM can be coupled effectively with other biologically relevant APIs and classes. Source code, libraries, documentation and examples are available at . PMID:14583100

  1. Banking on Knowledge: The New Knowledge Projects of the World Bank.

    ERIC Educational Resources Information Center

    King, Kenneth

    2002-01-01

    Examines the tensions and debates at the heart of the World Bank's desire to become a knowledge agency. Discusses implications of the Bank's changing priorities towards education, trade-off between knowledge sharing versus knowledge development, and use of information and communications technology to create a global knowledge hypermarket called…

  2. High School Students' Meta-Modeling Knowledge

    NASA Astrophysics Data System (ADS)

    Fortus, David; Shwartz, Yael; Rosenfeld, Sherman

    2016-12-01

    Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper levels of the modeling learning progression defined by Schwarz et al. (2009) are attainable by Israeli K-12 students. Nine Israeli high school students studying physics, chemistry, biology, or general science were interviewed individually, once using a context related to the science subject that they were learning and once using an unfamiliar context. All the interviewees displayed MMK superior to that of elementary and middle school students, despite the lack of formal instruction on the practice. Their MMK was independent of content area, but their ability to engage in the practice of modeling was content dependent. This study indicates that, given proper support, the upper levels of the learning progression described by Schwarz et al. (2009) may be attainable by K-12 science students. The value of explicitly focusing on MMK as a learning goal in science education is considered.

  3. Building Context with Tumor Growth Modeling Projects in Differential Equations

    ERIC Educational Resources Information Center

    Beier, Julie C.; Gevertz, Jana L.; Howard, Keith E.

    2015-01-01

    The use of modeling projects serves to integrate, reinforce, and extend student knowledge. Here we present two projects related to tumor growth appropriate for a first course in differential equations. They illustrate the use of problem-based learning to reinforce and extend course content via a writing or research experience. Here we discuss…

  4. Leveraging First Response Time into the Knowledge Tracing Model

    ERIC Educational Resources Information Center

    Wang, Yutao; Heffernan, Neil T.

    2012-01-01

    The field of educational data mining has been using the Knowledge Tracing model, which only look at the correctness of student first response, for tracking student knowledge. Recently, lots of other features are studied to extend the Knowledge Tracing model to better model student knowledge. The goal of this paper is to analyze whether or not the…

  5. Unsaturated Zone Flow Model Expert Elicitation Project

    SciTech Connect

    Coppersmith, K. J.

    1997-05-30

    This report presents results of the Unsaturated Zone Flow Model Expert Elicitation (UZFMEE) project at Yucca Mountain, Nevada. This project was sponsored by the US Department of Energy (DOE) and managed by Geomatrix Consultants, Inc. (Geomatrix), for TRW Environmental Safety Systems, Inc. The objective of this project was to identify and assess the uncertainties associated with certain key components of the unsaturated zone flow system at Yucca Mountain. This assessment reviewed the data inputs, modeling approaches, and results of the unsaturated zone flow model (termed the ''UZ site-scale model'') being developed by Lawrence Berkeley National Laboratory (LBNL) and the US Geological Survey (USGS). In addition to data input and modeling issues, the assessment focused on percolation flux (volumetric flow rate per unit cross-sectional area) at the potential repository horizon. An understanding of unsaturated zone processes is critical to evaluating the performance of the potential high-level nuclear waste repository at Yucca Mountain. A major goal of the project was to capture the uncertainties involved in assessing the unsaturated flow processes, including uncertainty in both the models used to represent physical controls on unsaturated zone flow and the parameter values used in the models. To ensure that the analysis included a wide range of perspectives, multiple individual judgments were elicited from members of an expert panel. The panel members, who were experts from within and outside the Yucca Mountain project, represented a range of experience and expertise. A deliberate process was followed in facilitating interactions among the experts, in training them to express their uncertainties, and in eliciting their interpretations. The resulting assessments and probability distributions, therefore, provide a reasonable aggregate representation of the knowledge and uncertainties about key issues regarding the unsaturated zone at the Yucca Mountain site.

  6. Next Generation Agricultural System Data, Models and Knowledge Products: Introduction

    NASA Technical Reports Server (NTRS)

    Antle, John M.; Jones, James W.; Rosenzweig, Cynthia E.

    2016-01-01

    Agricultural system models have become important tools to provide predictive and assessment capability to a growing array of decision-makers in the private and public sectors. Despite ongoing research and model improvements, many of the agricultural models today are direct descendants of research investments initially made 30-40 years ago, and many of the major advances in data, information and communication technology (ICT) of the past decade have not been fully exploited. The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products. The Special Issue is based on a 'NextGen' study led by the Agricultural Model Intercomparison and Improvement Project (AgMIP) with support from the Bill and Melinda Gates Foundation.

  7. Using a Project Portfolio: Empowerment Evaluation for Model Demonstration Projects.

    ERIC Educational Resources Information Center

    Baggett, David

    For model postsecondary demonstration projects serving individuals with disabilities, a portfolio of project activities may serve as a method for program evaluation, program replication, and program planning. Using a portfolio for collecting, describing, and documenting a project's successes, efforts, and failures enables project staff to take…

  8. Modeling missing data in knowledge space theory.

    PubMed

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

    2015-12-01

    Missing data are a well known issue in statistical inference, because some responses may be missing, even when data are collected carefully. The problem that arises in these cases is how to deal with missing data. In this article, the missingness is analyzed in knowledge space theory, and in particular when the basic local independence model (BLIM) is applied to the data. Two extensions of the BLIM to missing data are proposed: The former, called ignorable missing BLIM (IMBLIM), assumes that missing data are missing completely at random; the latter, called missing BLIM (MissBLIM), introduces specific dependencies of the missing data on the knowledge states, thus assuming that the missing data are missing not at random. The IMBLIM and the MissBLIM modeled the missingness in a satisfactory way, in both a simulation study and an empirical application, depending on the process that generates the missingness: If the missing data-generating process is of type missing completely at random, then either IMBLIM or MissBLIM provide adequate fit to the data. However, if the pattern of missingness is functionally dependent upon unobservable features of the data (e.g., missing answers are more likely to be wrong), then only a correctly specified model of the missingness distribution provides an adequate fit to the data.

  9. Knowledge Wisdom and Networks: A Project Management Centre of Excellence Example

    ERIC Educational Resources Information Center

    Walker, Derek H. T.; Christenson, Dale

    2005-01-01

    Purpose: This conceptual paper aims to explain how "project management centres of excellence (CoEs)", a particular class of knowledge network, can be viewed as providing great potential for assisting project management (PM) teams to make wise decisions. Design/methodology/approach: The paper presents a range of knowledge network types and…

  10. Intergenerational Literacy Model Project Handbook.

    ERIC Educational Resources Information Center

    Quintero, Elizabeth, Comp.

    This handbook describes a model project that provided literacy instruction for parents of preschool and primary school children and suggests on-going activities for parents to do with children at home. It also provides suggestions for implementing a similar program in other locales. The section on recruitment offers suggestions and sample…

  11. Microcomputer Infusion Project: A Model.

    ERIC Educational Resources Information Center

    Rossberg, Stephen A.; Bitter, Gary G.

    1988-01-01

    Describes the Microcomputer Infusion Project (MIP), which was developed at Arizona State University to provide faculty with the necessary hardware, software, and training to become models of computer use in both lesson development and presentation for preservice teacher education students. Topics discussed include word processing; database…

  12. How to Assemble a Knowledge Economy: Singapore's Transnational Education Project

    ERIC Educational Resources Information Center

    Sidhu, Ravinder

    2006-01-01

    This article takes Singapore, an emerging education hub, as a focal point from which to investigate its attempts to become a global city and knowledge-based economy. It outlines how discourses of the knowledge economy are used to rationalise particular policy interventions and the transnational education forms arising from them. It speculates on…

  13. Assessment of Contributions to Patient Safety Knowledge by the Agency for Healthcare Research and Quality-Funded Patient Safety Projects

    PubMed Central

    Sorbero, Melony E S; Ricci, Karen A; Lovejoy, Susan; Haviland, Amelia M; Smith, Linda; Bradley, Lily A; Hiatt, Liisa; Farley, Donna O

    2009-01-01

    Objective To characterize the activities of projects funded in Agency for Healthcare Research and Quality (AHRQ)' patient safety portfolio and assess their aggregate potential to contribute to knowledge development. Data Sources Information abstracted from proposals for projects funded in AHRQ' patient safety portfolio, information on safety practices from the AHRQ Evidence Report on Patient Safety Practices, and products produced by the projects. Study Design This represented one part of the process evaluation conducted as part of a longitudinal evaluation based on the Context–Input–Process–Product model. Principal Findings The 234 projects funded through AHRQ' patient safety portfolio examined a wide variety of patient safety issues and extended their work beyond the hospital setting to less studied parts of the health care system. Many of the projects implemented and tested practices for which the patient safety evidence report identified a need for additional evidence. The funded projects also generated a substantial body of new patient safety knowledge through a growing number of journal articles and other products. Conclusions The projects funded in AHRQ' patient safety portfolio have the potential to make substantial contributions to the knowledge base on patient safety. The full value of this new knowledge remains to be confirmed through the synthesis of results. PMID:21456108

  14. Analysis of a Knowledge-Management-Based Process of Transferring Project Management Skills

    ERIC Educational Resources Information Center

    Ioi, Toshihiro; Ono, Masakazu; Ishii, Kota; Kato, Kazuhiko

    2012-01-01

    Purpose: The purpose of this paper is to propose a method for the transfer of knowledge and skills in project management (PM) based on techniques in knowledge management (KM). Design/methodology/approach: The literature contains studies on methods to extract experiential knowledge in PM, but few studies exist that focus on methods to convert…

  15. Social Processes and Knowledge Building during Small Group Interaction in a School Science Project.

    ERIC Educational Resources Information Center

    Arvaja, Maarit; Hakkinen, Paivi; Rasku-Puttonen, Helena; Etelapelto, Anneli

    2002-01-01

    Studied the meaning of symmetry of knowledge-based roles for knowledge construction and sharing in social interaction during the report writing phase of an experimental science learning project with four ninth grade students in Finland. Identified four patterns of interaction that differed in terms of their symmetry of knowledge-based roles and…

  16. Collaborative Learning Using a Project across Multiple Business Courses: A Cognitive Load and Knowledge Convergence Approach

    ERIC Educational Resources Information Center

    Bhowmick, Sandeep; Chandra, Aruna; Harper, Jeffrey S.; Sweetin, Vernon

    2015-01-01

    Four business professors at a state university in the Midwestern United States launched a collaborative learning project grounded in cognitive learning theory and knowledge convergence theory with the objective of assessing student learning gains in cross-functional knowledge (CFK), course-related knowledge (CRK), and overall satisfaction with…

  17. Cirrus Parcel Model Comparison Project. Phase 1

    NASA Technical Reports Server (NTRS)

    Lin, Ruei-Fong; Starr, David O'C.; DeMott, Paul J.; Cotton, Richard; Jensen, Eric; Sassen, Kenneth

    2000-01-01

    The Cirrus Parcel Model Comparison (CPMC) is a project of the GEWEX Cloud System Study Working Group on Cirrus Cloud Systems (GCSS WG2). The primary goal of this project is to identify cirrus model sensitivities to the state of our knowledge of nucleation and microphysics. Furthermore, the common ground of the findings may provide guidelines for models with simpler cirrus microphysics modules. We focus on the nucleation regimes of the warm (parcel starting at -40 C and 340 hPa) and cold (-60 C and 170 hPa) cases studied in the GCSS WG2 Idealized Cirrus Model Comparison Project. Nucleation and ice crystal growth were forced through an externally imposed rate of lift and consequent adiabatic cooling. The background haze particles are assumed to be lognormally-distributed H2SO4 particles. Only the homogeneous nucleation mode is allowed to form ice crystals in the HN-ONLY runs; all nucleation modes are switched on in the ALL-MODE runs. Participants were asked to run the HN-lambda-fixed runs by setting lambda = 2 (lambda is further discussed in section 2) or tailoring the nucleation rate calculation in agreement with lambda = 2 (exp 1). The depth of parcel lift (800 m) was set to assure that parcels underwent complete transition through the nucleation regime to a stage of approximate equilibrium between ice mass growth and vapor supplied by the specified updrafts.

  18. Building Knowledge in the Workplace and Beyond. Curriculum Adaptation Project.

    ERIC Educational Resources Information Center

    Ballinger, Ronda

    A project was conducted to adapt and modify the four-part workplace literacy curriculum previously created by the College of Lake County (Illinois) and six industries in the county in order to improve the usefulness and application of the information in the original curriculum. Information for the adaptation project was generated by instructors…

  19. Spiral model pilot project information model

    NASA Technical Reports Server (NTRS)

    1991-01-01

    The objective was an evaluation of the Spiral Model (SM) development approach to allow NASA Marshall to develop an experience base of that software management methodology. A discussion is presented of the Information Model (IM) that was used as part of the SM methodology. A key concept of the SM is the establishment of an IM to be used by management to track the progress of a project. The IM is the set of metrics that is to be measured and reported throughout the life of the project. These metrics measure both the product and the process to ensure the quality of the final delivery item and to ensure the project met programmatic guidelines. The beauty of the SM, along with the IM, is the ability to measure not only the correctness of the specification and implementation of the requirements but to also obtain a measure of customer satisfaction.

  20. Agent-Based Knowledge Discovery for Modeling and Simulation

    SciTech Connect

    Haack, Jereme N.; Cowell, Andrew J.; Marshall, Eric J.; Fligg, Alan K.; Gregory, Michelle L.; McGrath, Liam R.

    2009-09-15

    This paper describes an approach to using agent technology to extend the automated discovery mechanism of the Knowledge Encapsulation Framework (KEF). KEF is a suite of tools to enable the linking of knowledge inputs (relevant, domain-specific evidence) to modeling and simulation projects, as well as other domains that require an effective collaborative workspace for knowledge-based tasks. This framework can be used to capture evidence (e.g., trusted material such as journal articles and government reports), discover new evidence (covering both trusted and social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a semantic wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks. The novelty in this approach lies in the combination of automatically tagged and user-vetted resources, which increases user trust in the environment, leading to ease of adoption for the collaborative environment.

  1. Applying knowledge compilation techniques to model-based reasoning

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.

    1991-01-01

    Researchers in the area of knowledge compilation are developing general purpose techniques for improving the efficiency of knowledge-based systems. In this article, an attempt is made to define knowledge compilation, to characterize several classes of knowledge compilation techniques, and to illustrate how some of these techniques can be applied to improve the performance of model-based reasoning systems.

  2. Mining Knowledge from Multiple Criteria Linear Programming Models

    NASA Astrophysics Data System (ADS)

    Zhang, Peng; Zhu, Xingquan; Li, Aihua; Zhang, Lingling; Shi, Yong

    As a promising data mining tool, Multiple Criteria Linear Programming (MCLP) has been widely used in business intelligence. However, a possible limitation of MCLP is that it generates unexplainable black-box models which can only tell us results without reasons. To overcome this shortage, in this paper, we propose a Knowledge Mining strategy which mines from black-box MCLP models to get explainable and understandable knowledge. Different from the traditional Data Mining strategy which focuses on mining knowledge from data, this Knowledge Mining strategy provides a new vision of mining knowledge from black-box models, which can be taken as a special topic of “Intelligent Knowledge Management”.

  3. NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 30: The electronic transfer of information and aerospace knowledge diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Bishop, Ann P.; Barclay, Rebecca O.; Kennedy, John M.

    1992-01-01

    Increasing reliance on and investment in information technology and electronic networking systems presupposes that computing and information technology will play a major role in the diffusion of aerospace knowledge. Little is known, however, about actual information technology needs, uses, and problems within the aerospace knowledge diffusion process. The authors state that the potential contributions of information technology to increased productivity and competitiveness will be diminished unless empirically derived knowledge regarding the information-seeking behavior of the members of the social system - those who are producing, transferring, and using scientific and technical information - is incorporated into a new technology policy framework. Research into the use of information technology and electronic networks by U.S. aerospace engineers and scientists, collected as part of a research project designed to study aerospace knowledge diffusion, is presented in support of this assertion.

  4. Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Noble, Sarah K.; French, Raymond; Nall,Mark; Muery, Kimberly

    2009-01-01

    The Lunar Mapping and Modeling Project (LMMP) has been created to manage the development of a suite of lunar mapping and modeling products that support the Constellation Program (CxP) and other lunar exploration activities, including the planning, design, development, test and operations associated with lunar sortie missions, crewed and robotic operations on the surface, and the establishment of a lunar outpost. The project draws on expertise from several NASA and non-NASA organizations (MSFC, ARC, GSFC, JPL, CRREL and USGS). LMMP will utilize data predominately from the Lunar Reconnaissance Orbiter, but also historical and international lunar mission data (e.g. Apollo, Lunar Orbiter, Kaguya, Chandrayaan-1), as available and appropriate, to meet Constellation s data needs. LMMP will provide access to this data through a single, common, intuitive and easy to use NASA portal that transparently accesses appropriately sanctioned portions of the widely dispersed and distributed collections of lunar data, products and tools. LMMP will provide such products as DEMs, hazard assessment maps, lighting maps and models, gravity models, and resource maps. We are working closely with the LRO team to prevent duplication of efforts and ensure the highest quality data products. While Constellation is our primary customer, LMMP is striving to be as useful as possible to the lunar science community, the lunar education and public outreach (E/PO) community, and anyone else interested in accessing or utilizing lunar data.

  5. From Knowledge Sharing to Knowledge Creation: A Blended Knowledge-Management Model for Improving University Students' Creativity

    ERIC Educational Resources Information Center

    Yeh, Yu-chu; Yeh, Yi-ling; Chen, Yu-Hua

    2012-01-01

    Creativity and knowledge management are both important competences that university students need to strive to develop. This study therefore developed and evaluated an instructional program for improving university students' creativity based on a blended knowledge-management (KM) model that integrates e-learning and three core processes of KM:…

  6. Space market model development project

    NASA Technical Reports Server (NTRS)

    Bishop, Peter C.

    1987-01-01

    The objectives of the research program, Space Market Model Development Project, (Phase 1) were: (1) to study the need for business information in the commercial development of space; and (2) to propose a design for an information system to meet the identified needs. Three simultaneous research strategies were used in proceeding toward this goal: (1) to describe the space business information which currently exists; (2) to survey government and business representatives on the information they would like to have; and (3) to investigate the feasibility of generating new economical information about the space industry.

  7. An Adaptive Approach to Managing Knowledge Development in a Project-Based Learning Environment

    ERIC Educational Resources Information Center

    Tilchin, Oleg; Kittany, Mohamed

    2016-01-01

    In this paper we propose an adaptive approach to managing the development of students' knowledge in the comprehensive project-based learning (PBL) environment. Subject study is realized by two-stage PBL. It shapes adaptive knowledge management (KM) process and promotes the correct balance between personalized and collaborative learning. The…

  8. Scaffolding Project-Based Learning with the Project Management Body of Knowledge (PMBOK[R])

    ERIC Educational Resources Information Center

    van Rooij, Shahron Williams

    2009-01-01

    This paper reports the results of a study of the extent to which processes and procedures from the discipline of project management can scaffold online project-based learning in a graduate-level instructional technology course, by facilitating intra-team interaction, enhancing project outcomes and promoting a positive project team experience. With…

  9. Design Knowledge Interplayed with Student Creativity in D&T Projects

    ERIC Educational Resources Information Center

    Esjeholm, Bjørn-Tore

    2015-01-01

    This study explores how theoretical elements of design knowledge relate to notions of creativity found in literature. The results of this exploration are further applied to analyze four different cross-curricular design and technology projects in Norwegian primary and lower secondary school. All of the school projects examined were intended to be…

  10. The lawful uses of knowledge from the Human Genome Project

    SciTech Connect

    Grad, F.P.

    1994-04-15

    Part I of this study deals with the right to know or not to know personal genetic information, and examines available legal protections of the right of privacy and the adverse effect of the disclosure of genetic information both on employment and insurance interests and on self esteem and protection of personal integrity. The study examines the rationale for the legal protection of privacy as the protection of a public interest. It examines the very limited protections currently available for privacy interests, including genetic privacy interests, and concludes that there is a need for broader, more far-reaching legal protections. The second part of the study is based on the assumption that as major a project as the Human Genome Project, spending billions of dollars on science which is health related, will indeed be applied for preventive and therapeutic public health purposes, as it has been in the past. It also addresses the recurring fear that public health initiatives in the genetic area must evolve a new eugenic agenda, that we must not repeat the miserable discriminatory experiences of the past.

  11. The NutriChip project--translating technology into nutritional knowledge.

    PubMed

    Vergères, Guy; Bogicevic, Biljana; Buri, Caroline; Carrara, Sandro; Chollet, Magali; Corbino-Giunta, Linda; Egger, Lotti; Gille, Doreen; Kopf-Bolanz, Katrin; Laederach, Kurt; Portmann, Reto; Ramadan, Qasem; Ramsden, Jeremy; Schwander, Flurina; Silacci, Paolo; Walther, Barbara; Gijs, Martin

    2012-09-01

    Advances in food transformation have dramatically increased the diversity of products on the market and, consequently, exposed consumers to a complex spectrum of bioactive nutrients whose potential risks and benefits have mostly not been confidently demonstrated. Therefore, tools are needed to efficiently screen products for selected physiological properties before they enter the market. NutriChip is an interdisciplinary modular project funded by the Swiss programme Nano-Tera, which groups scientists from several areas of research with the aim of developing analytical strategies that will enable functional screening of foods. The project focuses on postprandial inflammatory stress, which potentially contributes to the development of chronic inflammatory diseases. The first module of the NutriChip project is composed of three in vitro biochemical steps that mimic the digestion process, intestinal absorption, and subsequent modulation of immune cells by the bioavailable nutrients. The second module is a miniaturised form of the first module (gut-on-a-chip) that integrates a microfluidic-based cell co-culture system and super-resolution imaging technologies to provide a physiologically relevant fluid flow environment and allows sensitive real-time analysis of the products screened in vitro. The third module aims at validating the in vitro screening model by assessing the nutritional properties of selected food products in humans. Because of the immunomodulatory properties of milk as well as its amenability to technological transformation, dairy products have been selected as model foods. The NutriChip project reflects the opening of food and nutrition sciences to state-of-the-art technologies, a key step in the translation of transdisciplinary knowledge into nutritional advice.

  12. W-320 Project thermal modeling

    SciTech Connect

    Sathyanarayana, K., Fluor Daniel Hanford

    1997-03-18

    This report summarizes the results of thermal analysis performed to provide a technical basis in support of Project W-320 to retrieve by sluicing the sludge in Tank 241-C-106 and to transfer into Tank 241-AY-102. Prior theraml evaluations in support of Project W-320 safety analysis assumed the availability of 2000 to 3000 CFM, as provided by Tank Farm Operations, for tank floor cooling channels from the secondary ventilation system. As this flow availability has no technical basis, a detailed Tank 241-AY-102 secondary ventilation and floor coating channel flow model was developed and analysis was performed. The results of the analysis show that only about 150 cfm flow is in floor cooLing channels. Tank 241-AY-102 thermal evaluation was performed to determine the necessary cooling flow for floor cooling channels using W-030 primary ventilation system for different quantities of Tank 241-C-106 sludge transfer into Tank 241-AY-102. These sludge transfers meet different options for the project along with minimum required modification of the ventilation system. Also the results of analysis for the amount of sludge transfer using the current system is presented. The effect of sludge fluffing factor, heat generation rate and its distribution between supernatant and sludge in Tank 241-AY-102 on the amount of sludge transfer from Tank 241-C-106 were evaluated and the results are discussed. Also transient thermal analysis was performed to estimate the time to reach the steady state. For a 2 feet sludge transfer, about 3 months time will be requirad to reach steady state. Therefore, for the purpose of process control, a detailed transient thermal analysis using GOTH Computer Code will be required to determine transient response of the sludge in Tank 241-AY-102. Process control considerations are also discussed to eliminate the potential for a steam bump during retrieval and storage in Tanks 241-C-106 and 241-AY-102 respectively.

  13. Learning Design Based on Graphical Knowledge-Modelling

    ERIC Educational Resources Information Center

    Paquette, Gilbert; Leonard, Michel; Lundgren-Cayrol, Karin; Mihaila, Stefan; Gareau, Denis

    2006-01-01

    This chapter states and explains that a Learning Design is the result of a knowledge engineering process where knowledge and competencies, learning design and delivery models are constructed in an integrated framework. We present a general graphical language and a knowledge editor that has been adapted to support the construction of learning…

  14. Sharks, Minnows, and Wheelbarrows: Calculus Modeling Projects

    ERIC Educational Resources Information Center

    Smith, Michael D.

    2011-01-01

    The purpose of this article is to present two very active applied modeling projects that were successfully implemented in a first semester calculus course at Hollins University. The first project uses a logistic equation to model the spread of a new disease such as swine flu. The second project is a human take on the popular article "Do Dogs Know…

  15. Which Process Model Practices Support Project Success?

    NASA Astrophysics Data System (ADS)

    Lepmets, Marion

    In this research the relevance of the guidance of software process models to industry was studied - more precisely, how relevant are the basic project management practices to the industry projects and to the success of these projects. The focus of the research is on project management and its related practices - the processes that support the achievement of capability levels 1 and 2 in CMMI and ISO/IEC 15504. These project management practices can also be viewed as best practices, the application of which can lead to project success. We aimed to discover whether the implementation of basic project management practices supports project success. There is evidence that higher process capability supports increased project performance. The question remains about the significance of basic project management practices to project performance.

  16. Capturing Knowledge In Order To Optimize The Cutting Process For Polyethylene Pipes Using Knowledge Models

    NASA Astrophysics Data System (ADS)

    Rotaru, Ionela Magdalena

    2015-09-01

    Knowledge management is a powerful instrument. Areas where knowledge - based modelling can be applied are different from business, industry, government to education area. Companies engage in efforts to restructure the database held based on knowledge management principles as they recognize in it a guarantee of models characterized by the fact that they consist only from relevant and sustainable knowledge that can bring value to the companies. The proposed paper presents a theoretical model of what it means optimizing polyethylene pipes, thus bringing to attention two important engineering fields, the one of the metal cutting process and gas industry, who meet in order to optimize the butt fusion welding process - the polyethylene cutting part - of the polyethylene pipes. All approach is shaped on the principles of knowledge management. The study was made in collaboration with companies operating in the field.

  17. Data Mining and Knowledge Management: A System Analysis for Establishing a Tiered Knowledge Management Model.

    ERIC Educational Resources Information Center

    Luan, Jing; Willett, Terrence

    This paper discusses data mining--an end-to-end (ETE) data analysis tool that is used by researchers in higher education. It also relates data mining and other software programs to a brand new concept called "Knowledge Management." The paper culminates in the Tier Knowledge Management Model (TKMM), which seeks to provide a stable…

  18. Improved knowledge diffusion model based on the collaboration hypernetwork

    NASA Astrophysics Data System (ADS)

    Wang, Jiang-Pan; Guo, Qiang; Yang, Guang-Yong; Liu, Jian-Guo

    2015-06-01

    The process for absorbing knowledge becomes an essential element for innovation in firms and in adapting to changes in the competitive environment. In this paper, we present an improved knowledge diffusion hypernetwork (IKDH) model based on the idea that knowledge will spread from the target node to all its neighbors in terms of the hyperedge and knowledge stock. We apply the average knowledge stock V(t) , the variable σ2(t) , and the variance coefficient c(t) to evaluate the performance of knowledge diffusion. By analyzing different knowledge diffusion ways, selection ways of the highly knowledgeable nodes, hypernetwork sizes and hypernetwork structures for the performance of knowledge diffusion, results show that the diffusion speed of IKDH model is 3.64 times faster than that of traditional knowledge diffusion (TKDH) model. Besides, it is three times faster to diffuse knowledge by randomly selecting "expert" nodes than that by selecting large-hyperdegree nodes as "expert" nodes. Furthermore, either the closer network structure or smaller network size results in the faster knowledge diffusion.

  19. The BBN (Bolt Beranek and Newman) Knowledge Acquisition Project. Phase 1. Functional Description; Test Plan.

    DTIC Science & Technology

    1987-05-01

    document presents the final report on Phase I of KREME, BBN’s Knowledge Representation, Editing and Modeling Environment. It includes a brief functional...KREME Knowledge Representation Editing and Modeling Environment S 3.1 Functional Description 5 3.2 Basic Editing Environment 6 3.3 The Grapher 6 3.3.1...created the KREME Knowledge Representation Editing and Modeling Environment. KREME is an extensible experimental environment for developing and editing

  20. Development of a Model for Maaging Organizational Knowledge

    SciTech Connect

    Ashdown, B.; Smith, K.

    1999-05-05

    We created three models to represent a comprehensive knowledge model: · Stages of Knowledge Management Model (Forrester) · Expanded Life-Cycle Information Management Model · Organizational Knowledge Management Model. In building a series of models, we started with an attempt to create a graphical model that illustrates the ideas outlined in the Forrester article (Leadership Strategies, Vol. 3, No. 2, November/December 1997). We then expanded and detailed a life-cycle model. Neither of these effectively reflected how to manage the complexities involved in weaving local, enterprise, and global information into an easily navigated resource for end users. We finally began to synthesize these ideas into an Organizational Knowledge Management Model. This model acknowledges the relevance of life-cycle management for different granularities of information collections and places it in the context of the integrating infrastructure needed to assist end users.

  1. Implementation of Case-Based Reasoning System for Knowledge Management of Power Plant Construction Projects in a Korean Company

    NASA Astrophysics Data System (ADS)

    Jang, Gil-Sang

    Recently, plant construction industries are enjoying a favorable business climate centering around developing countries and oil producing countries rich in oil money. This paper proposes a methodology of implementing corporation-wide case-based reasoning (CBR) system for effectively managing lessons learned knowledge like experiences and know-how obtained in performing power plant construction projects. Our methodology is consisted of 10 steps: user requirement analysis, information modeling, case modeling, case base design, similarity function design, user interface design, case base building, CBR module development, user interface development, integration test. Also, to illustrate the usability of proposed methodology, the practical CBR system is implemented for the plant construction business division of ’H’ company which has international competitiveness in the field of plant construction industry. At present, our CBR system is successfully utilizing as storing, sharing, and reusing the knowledge which is accumulated in performing power plant construction projects in the target enterprise.

  2. [NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 7:] The NASA/DOD Aerospace Knowledge Diffusion Research Project: The DOD perspective

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    This project will provide descriptive and analytical data regarding the flow of STI at the individual, organizational, national, and international levels. It will examine both the channels used to communicate information and the social system of the aerospace knowledge diffusion process. Results of the project should provide useful information to R and D managers, information managers, and others concerned with improving access to and use of STI. Objectives include: (1) understanding the aerospace knowledge diffusion process at the individual, organizational, and national levels, placing particular emphasis on the diffusion of Federally funded aerospace STI; (2) understanding the international aerospace knowledge diffusion process at the individual and organizational levels, placing particular emphasis on the systems used to diffuse the results of Federally funded aerospace STI; (3) understanding the roles NASA/DoD technical report and aerospace librarians play in the transfer and use of knowledge derived from Federally funded aerospace R and D; (4) achieving recognition and acceptance within NASA, DoD and throughout the aerospace community that STI is a valuable strategic resource for innovation, problem solving, and productivity; and (5) providing results that can be used to optimize the effectiveness and efficiency of the Federal STI aerospace transfer system and exchange mechanism.

  3. Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Noble, Sarah K.; French, R. A.; Nall, M. E.; Muery, K. G.

    2009-01-01

    The Lunar Mapping and Modeling Project (LMMP) has been created to manage the development of a suite of lunar mapping and modeling products that support the Constellation Program (CxP) and other lunar exploration activities, including the planning, design, development, test and operations associated with lunar sortie missions, crewed and robotic operations on the surface, and the establishment of a lunar outpost. The information provided through LMMP will assist CxP in: planning tasks in the areas of landing site evaluation and selection, design and placement of landers and other stationary assets, design of rovers and other mobile assets, developing terrain-relative navigation (TRN) capabilities, and assessment and planning of science traverses. The project draws on expertise from several NASA and non-NASA organizations (MSFC, ARC, GSFC, JPL, CRREL US Army Cold Regions Research and Engineering Laboratory, and the USGS). LMMP will utilize data predominately from the Lunar Reconnaissance Orbiter, but also historical and international lunar mission data (e.g. Apollo, Lunar Orbiter, Kaguya, Chandrayaan-1), as available and appropriate, to meet Constellation s data needs. LMMP will provide access to this data through a single intuitive and easy to use NASA portal that transparently accesses appropriately sanctioned portions of the widely dispersed and distributed collections of lunar data, products and tools. Two visualization systems are being developed, a web-based system called Lunar Mapper, and a desktop client, ILIADS, which will be downloadable from the LMMP portal. LMMP will provide such products as local and regional imagery and DEMs, hazard assessment maps, lighting and gravity models, and resource maps. We are working closely with the LRO team to prevent duplication of efforts and to ensure the highest quality data products. While Constellation is our primary customer, LMMP is striving to be as useful as possible to the lunar science community, the lunar

  4. A Model for Resource Allocation Using Operational Knowledge Assets

    ERIC Educational Resources Information Center

    Andreou, Andreas N.; Bontis, Nick

    2007-01-01

    Purpose: The paper seeks to develop a business model that shows the impact of operational knowledge assets on intellectual capital (IC) components and business performance and use the model to show how knowledge assets can be prioritized in driving resource allocation decisions. Design/methodology/approach: Quantitative data were collected from 84…

  5. Online Knowledge-Based Model for Big Data Topic Extraction

    PubMed Central

    Khan, Muhammad Taimoor; Durrani, Mehr; Khalid, Shehzad; Aziz, Furqan

    2016-01-01

    Lifelong machine learning (LML) models learn with experience maintaining a knowledge-base, without user intervention. Unlike traditional single-domain models they can easily scale up to explore big data. The existing LML models have high data dependency, consume more resources, and do not support streaming data. This paper proposes online LML model (OAMC) to support streaming data with reduced data dependency. With engineering the knowledge-base and introducing new knowledge features the learning pattern of the model is improved for data arriving in pieces. OAMC improves accuracy as topic coherence by 7% for streaming data while reducing the processing cost to half. PMID:27195004

  6. The NASA/DOD aerospace knowledge diffusion research project: A research agenda

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    The project has both immediate and long term purposes. In the first instance it provides a practical and pragmatic basis for understanding how the results of NASA/DoD research diffuse into the aerospace R and D process. Over the long term it provides an empirical basis for understanding the aerospace knowledge diffusion process itself, and its implications at the individual, organizational, national, and international levels. The project is studying the major barriers to effective knowledge diffusion. This project will provide descriptive and analytical data regarding the flow of scientific and technical information (STI). It will examine both channels used to communicate information and the social system of the aerospace knowledge diffusion process.

  7. Mars Pathfinder Project: Planetary Constants and Models

    NASA Technical Reports Server (NTRS)

    Vaughan, Robin

    1995-01-01

    This document provides a common set of astrodynamic constants and planetary models for use by the Mars Pathfinder Project. It attempts to collect in a single reference all the quantities and models in use across the project during development and for mission operations. These models are central to the navigation and mission design functions, but they are also used in other aspects of the project such as science observation planning and data reduction.

  8. Detailed Clinical Models: Representing Knowledge, Data and Semantics in Healthcare Information Technology

    PubMed Central

    2014-01-01

    Objectives This paper will present an overview of the developmental effort in harmonizing clinical knowledge modeling using the Detailed Clinical Models (DCMs), and will explain how it can contribute to the preservation of Electronic Health Records (EHR) data. Methods Clinical knowledge modeling is vital for the management and preservation of EHR and data. Such modeling provides common data elements and terminology binding with the intention of capturing and managing clinical information over time and location independent from technology. Any EHR data exchange without an agreed clinical knowledge modeling will potentially result in loss of information. Results Many attempts exist from the past to model clinical knowledge for the benefits of semantic interoperability using standardized data representation and common terminologies. The objective of each project is similar with respect to consistent representation of clinical data, using standardized terminologies, and an overall logical approach. However, the conceptual, logical, and the technical expressions are quite different in one clinical knowledge modeling approach versus another. There currently are synergies under the Clinical Information Modeling Initiative (CIMI) in order to create a harmonized reference model for clinical knowledge models. Conclusions The goal for the CIMI is to create a reference model and formalisms based on for instance the DCM (ISO/TS 13972), among other work. A global repository of DCMs may potentially be established in the future. PMID:25152829

  9. Mental Models: Knowledge in the Head and Knowledge in the World.

    ERIC Educational Resources Information Center

    Jonassen, David H.; Henning, Philip

    1999-01-01

    Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

  10. A Projection and Density Estimation Method for Knowledge Discovery

    PubMed Central

    Stanski, Adam; Hellwich, Olaf

    2012-01-01

    A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions. The problem is typically circumvented by using a fixed set of assumptions about the data, e.g., by assuming partial independence of features, data on a manifold or a customized kernel. These fixed assumptions limit the applicability of a method. In this paper we propose a framework that uses a flexible set of assumptions instead. It allows to tailor a model to various problems by means of 1d-decompositions. The approach achieves a fast runtime and is not limited by the curse of dimensionality as all estimations are performed in 1d-space. The wide range of applications is demonstrated at two very different real world examples. The first is a data mining software that allows the fully automatic discovery of patterns. The software is publicly available for evaluation. As a second example an image segmentation method is realized. It achieves state of the art performance on a benchmark dataset although it uses only a fraction of the training data and very simple features. PMID:23049675

  11. e-University Project: Business Model. Consultation.

    ERIC Educational Resources Information Center

    Higher Education Funding Council for England, Bristol.

    This report describes the context and goals of the Higher Education Funding Council for England's e-University project to develop Internet-based higher education. It summarizes the proposed business model and outlines next steps in implementing the project. A February 2000 letter announced the project and invited higher education institutions…

  12. Applying Project Histories and Project Learning through Knowledge Management in an Australian Construction Company

    ERIC Educational Resources Information Center

    Maqsood, Tayyab; Finegan, Andrew; Walker, Derek

    2006-01-01

    Purpose: With the advent of information and communication technologies (ICT), some organisations have endeavoured to develop and maintain systems commonly known as project histories. This paper aims to provide a framework to the construction organisations in order to improve the learning from projects through the development and use of project…

  13. Project Bibliographies: Tracking the Expansion of Knowledge Using JPL Project Publications

    ERIC Educational Resources Information Center

    Coppin, Ann

    2016-01-01

    The Jet Propulsion Laboratory (JPL) Library defines a project bibliography as a bibliography of publicly available publications relating to a specific JPL instrument or mission. These bibliographies may be used to share information between distant project team members, as part of the required Education and Public Outreach effort, or as part of…

  14. Systemic change increases model projection uncertainty

    NASA Astrophysics Data System (ADS)

    Verstegen, Judith; Karssenberg, Derek; van der Hilst, Floor; Faaij, André

    2014-05-01

    Most spatio-temporal models are based on the assumption that the relationship between system state change and its explanatory processes is stationary. This means that model structure and parameterization are usually kept constant over time, ignoring potential systemic changes in this relationship resulting from e.g., climatic or societal changes, thereby overlooking a source of uncertainty. We define systemic change as a change in the system indicated by a system state change that cannot be simulated using a constant model structure. We have developed a method to detect systemic change, using a Bayesian data assimilation technique, the particle filter. The particle filter was used to update the prior knowledge about the model structure. In contrast to the traditional particle filter approach (e.g., Verstegen et al., 2014), we apply the filter separately for each point in time for which observations are available, obtaining the optimal model structure for each of the time periods in between. This allows us to create a time series of the evolution of the model structure. The Runs test (Wald and Wolfowitz, 1940), a stationarity test, is used to check whether variation in this time series can be attributed to randomness or not. If not, this indicates systemic change. The uncertainty that the systemic change adds to the existing model projection uncertainty can be determined by comparing model outcomes of a model with a stationary model structure and a model with a model structure changing according to the variation found in the time series. To test the systemic change detection methodology, we apply it to a land use change cellular automaton (CA) (Verstegen et al., 2012) and use observations of real land use from all years from 2004 to 2012 and associated uncertainty as observational data in the particle filter. A systemic change was detected for the period 2006 to 2008. In this period the influence on the location of sugar cane expansion of the driver sugar cane in

  15. Geothermal projects funded under the NER 300 programme - current state of development and knowledge gained

    NASA Astrophysics Data System (ADS)

    Uihlein, Andreas; Salto Saura, Lourdes; Sigfusson, Bergur; Lichtenvort, Kerstin; Gagliardi, Filippo

    2015-04-01

    Introduction The NER 300 programme, managed by the European Commission is one of the largest funding programmes for innovative low-carbon energy demonstration projects. NER 300 is so called because it is funded from the sale of 300 million emission allowances from the new entrants' reserve (NER) set up for the third phase of the EU emissions trading system (ETS). The programme aims to successfully demonstrate environmentally safe carbon capture and storage (CCS) and innovative renewable energy (RES) technologies on a commercial scale with a view to scaling up production of low-carbon technologies in the EU. Consequently, it supports a wide range of CCS and RES technologies (bioenergy, concentrated solar power, photovoltaics, geothermal, wind, ocean, hydropower, and smart grids). Funded projects and the role of geothermal projects for the programme In total, about EUR 2.1 billion have been awarded to 39 projects through the programme's 2 calls for proposals (the first awarded in December 2012, the second in July 2014). The programme has awarded around 70 mEUR funding to 3 geothermal projects in Hungary, Croatia and France (see Annex). The Hungarian geothermal project awarded funding under the first call will enter into operation at the end of 2015 and the rest are expected to start in 2016 (HR) and in 2018 (FR), respectively. Knowledge Sharing Knowledge sharing requirements are built into the legal basis of the programme as a critical tool to lower risks in bridging the transition to large-scale production of innovative renewable energy and CCS deployment. Projects have to submit annually to the European Commission relevant knowledge gained during that year in the implementation of their project. The relevant knowledge is aggregated and disseminated by the European Commission to industry, research, government, NGO and other interest groups and associations in order to provide a better understanding of the practical challenges that arise in the important step of

  16. The Effect of the Green Class Model on Environmental Knowledge and Its Retention

    ERIC Educational Resources Information Center

    Uzun, Naim

    2009-01-01

    The purpose of the study is to investigate the effects of an applied environmental education project carried out using the green-class model on students' environmental knowledge and its retention. 101 7th grade students attending Nazim Akcan Primary School in the Altindag Province of Ankara participated in the study. The study was carried out in…

  17. Knowledge Transfer in B-O-R-N Model to Enhance Computer Learners' Learning Outcomes in Knowledge and Cognitive Skills

    ERIC Educational Resources Information Center

    Duangchant, Shatchaya; Kiattikomol, Paiboon; Kaewkuekool, Sittichai

    2016-01-01

    Purpose: The process of knowledge transfer under the B-O-R-N Model is based on the concepts of knowledge transfer and change of knowledge patterns to create new knowledge. It stimulates learners to learn under the process of knowledge transfer during the learning with an aim to allow learners to achieve the learning outcomes.…

  18. Transforming teacher knowledge: Modeling instruction in physics

    NASA Astrophysics Data System (ADS)

    Cabot, Lloyd H.

    I show that the Modeling physics curriculum is readily accommodated by most teachers in favor of traditional didactic pedagogies. This is so, at least in part, because Modeling focuses on a small set of connected models embedded in a self-consistent theoretical framework and thus is closely congruent with human cognition in this context which is to generate mental models of physical phenomena as both predictive and explanatory devices. Whether a teacher fully implements the Modeling pedagogy depends on the depth of the teacher's commitment to inquiry-based instruction, specifically Modeling instruction, as a means of promoting student understanding of Newtonian mechanics. Moreover, this commitment trumps all other characteristics: teacher educational background, content coverage issues, student achievement data, district or state learning standards, and district or state student assessments. Indeed, distinctive differences exist in how Modeling teachers deliver their curricula and some teachers are measurably more effective than others in their delivery, but they all share an unshakable belief in the efficacy of inquiry-based, constructivist-oriented instruction. The Modeling Workshops' pedagogy, duration, and social interactions impacts teachers' self-identification as members of a professional community. Finally, I discuss the consequences my research may have for the Modeling Instruction program designers and for designers of professional development programs generally.

  19. Yield model development project implementation plan

    NASA Technical Reports Server (NTRS)

    Ambroziak, R. A.

    1982-01-01

    Tasks remaining to be completed are summarized for the following major project elements: (1) evaluation of crop yield models; (2) crop yield model research and development; (3) data acquisition processing, and storage; (4) related yield research: defining spectral and/or remote sensing data requirements; developing input for driving and testing crop growth/yield models; real time testing of wheat plant process models) and (5) project management and support.

  20. Methodological Research on Knowledge Use and School Improvement. Volume I. Project Overview and Summary of Findings.

    ERIC Educational Resources Information Center

    Dunn, William N.; And Others

    This report summarizes major findings and policy implications of a University of Pittsburgh project titled Methodological Research on Knowledge Use and School Improvement. The major emphasis has been methodological rather than substantive. The primary purpose has been to describe, evaluate, and recommend alternative concepts, methods, and…

  1. Knowledge Translation of Interprofessional Collaborative Patient-Centred Practice: The Working Together Project Experience

    ERIC Educational Resources Information Center

    MacDonald, Colla J.; Archibald, Douglas; Stodel, Emma; Chambers, Larry W.; Hall, Pippa

    2008-01-01

    The Working Together (WT) project involved the design and delivery of an online learning resource for healthcare teams in long-term care (LTC) so that knowledge regarding interprofessional collaborative patient-centred practice (ICPCP) could be readily accessed and then transferred to the workplace. The purpose of this paper is to better…

  2. The Effect of Environmental Science Projects on Students' Environmental Knowledge and Science Attitudes

    ERIC Educational Resources Information Center

    Al-Balushi, Sulaiman M.; Al-Aamri, Shamsa S.

    2014-01-01

    The current study explores the effectiveness of involving students in environmental science projects for their environmental knowledge and attitudes towards science. The study design is a quasi-experimental pre-post control group design. The sample was 62 11th-grade female students studying at a public school in Oman. The sample was divided into…

  3. A Project to Enhance Superintendents' Knowledge and Application of Characteristics of High Quality Teachers

    ERIC Educational Resources Information Center

    Pummill, Bret L.; Edson, Jerry C.; Loftin, Michelle M.; Robinson, Matthew A.

    2011-01-01

    This report describes a problem based learning project focusing on superintendents' knowledge of the characteristics of high quality teachers. Current research findings offer evidence teacher quality is an important school variable related to student achievement. School district leaders are faced with the problem of identifying the characteristics…

  4. Making Sense of Knowledge Transfer and Social Capital Generation for a Pacific Island Aid Infrastructure Project

    ERIC Educational Resources Information Center

    Manu, Christopher; Walker, Derek H. T.

    2006-01-01

    Purpose: The purpose of this research is to investigate how lessons learned from a case study of a construction project undertaken in the Pacific Islands relates to the interaction between social capital and knowledge transfer. The paper is reflective in nature focusing upon the experiences of one of the authors, being a Pacific Islander and…

  5. Using Partial Credit and Response History to Model User Knowledge

    ERIC Educational Resources Information Center

    Van Inwegen, Eric G.; Adjei, Seth A.; Wang, Yan; Heffernan, Neil T.

    2015-01-01

    User modelling algorithms such as Performance Factors Analysis and Knowledge Tracing seek to determine a student's knowledge state by analyzing (among other features) right and wrong answers. Anyone who has ever graded an assignment by hand knows that some answers are "more wrong" than others; i.e. they display less of an understanding…

  6. Models of Lifelong Learning and the "Knowledge Society"

    ERIC Educational Resources Information Center

    Green, Andy

    2006-01-01

    Many of the current policy debates in Europe focus on what kind of "knowledge economy" or "knowledge society" would be best in the future if it is to combine both economic competitiveness and social cohesion. Should European economies move increasingly towards the so-called Anglo-Saxon model of flexible labour markets and high…

  7. The Academic Knowledge Management Model of Small Schools in Thailand

    ERIC Educational Resources Information Center

    Tumtuma, Chamnan; Chantarasombat, Chalard; Yeamsang, Theerawat

    2015-01-01

    The Academic Knowledge Management Model of Small Schools in Thailand was created by research and development. The quantitative and qualitative data were collected via the following steps: a participatory workshop meeting, the formation of a team according to knowledge base, field study, brainstorming, group discussion, activities carried out…

  8. Competency model for the project managers of technical projects

    NASA Astrophysics Data System (ADS)

    Duncan, William R.

    1992-05-01

    Traditional job description techniques were developed to support compensation decisions for hourly wage earners in a manufacturing environment. Their resultant focus on activities performed on the job works well in this environment where the ability to perform the activity adequately is objectively verifiable by testing and observation. Although many organizations have adapted these techniques for salaried employees and service environments, the focus on activities performed has never been satisfactory. For example, stating that a project manager `prepares regular project status reports' tells us little about what to look for in a potential project manager or how to determine if a practicing project manager is ready for additional responsibilities. The concept of a `competency model' has been developed within the last decade to address this shortcoming. Competency models focus on what skills are needed to perform the tasks defined by the job description. For example, a project manager must be able to communicate well both orally and in writing in order to `prepare regular project status reports.'

  9. A Practical Project To Help Bilingual Students To Develop Their Knowledge of Science and English Language.

    ERIC Educational Resources Information Center

    Fouzder, Nani B.; Markwick, Andrew J. W.

    1999-01-01

    Describes a class project that included a literature search, observation of the Hale-Bopp comet, planning and building a model solar system, and presentation of the model in class. Finds that bilingual students in the class made significant progress in their learning of concepts and the acquisition of English as a result of completing the project.…

  10. Visualization tools: Models, representations and knowledge integration

    NASA Astrophysics Data System (ADS)

    Foley, Brian John

    Learning science requires students to make inferences and draw conclusions about concepts that are abstract, invisible or otherwise difficult to imagine. Scientific visualization is one way to make science and scientific thinking more visible to students. This dissertation investigates how visualization can be utilized for science education by studying how students integrate information from visualizations into their thinking. For this study, I developed a series of computer visualizations depicting thermodynamic phenomena. Thermodynamics is a topic that is both fundamental for several branches of science and difficult for many students to master (Linn & Songer, 1991). The design of the visualizations was learner centered. Pilot studies suggested that a dot-density representation of temperature would present a visual analogy of temperature as a measure of heat energy density. Energy density is a powerful model that can help students explain everyday heating and cooling phenomena. Dot-density computer visualizations were introduced into a public middle school science class studying thermodynamics (N = 178). Half of the students used the visualizations, while the other half served as a control. Interviews, classwork and tests were collected from the students in order to determine how the visualizations affected students' learning. Although there were not significant differences in the posttests for the groups, the classwork during the semester showed that the visualizations did affect how students envisioned heat and temperature. Students could often apply the energy density model in their reasoning during visualization activities, but when the visualizations were unavailable, many students applied less useful models. The interviews illustrated several difficulties that students had in learning from the visualizations. Some students interpreted the visualizations to support their existing conceptions of heat. Other students needed to have a visualization present to

  11. Precarious Projects: Conversions of (Biomedical) Knowledge in an East African City

    PubMed Central

    Prince, Ruth J.

    2014-01-01

    This article explores the orientations of lay people in Kenya to science—specifically to biomedical knowledge about HIV—and their struggles to convert this knowledge into meaningful futures. In Kenya, the global response to the HIV-AIDS epidemic has resulted in a highly stratified landscape of intervention. Globally-funded treatment programs and clinical trials, focusing on HIV, channel transnational resources, expertise, and knowledge into specific sites—HIV clinics, NGOs, and research stations—inscribing these spaces as ‘global’ while leaving others decidedly ‘local.’ Rolled out in the form of ‘projects,’ these interventions offer resources and opportunities for a limited time only. Based on ethnographic fieldwork in the city of Kisumu, this article follows the circulation of biomedical knowledge through such projects and its conversion in ways beyond those imagined by policy-makers, as it meets the aspirations of city-dwellers and enters into local livelihoods. Mediated by nongovernmental organizations through workshops and certificates, this knowledge is both fragmentary and ephemeral. I explore the temporal and spatial implications of such knowledge for those who seek to attach themselves to it and shape their identities and futures in relation to it. PMID:24383753

  12. An integrated knowledge system for wind tunnel testing - Project Engineers' Intelligent Assistant

    NASA Technical Reports Server (NTRS)

    Lo, Ching F.; Shi, George Z.; Hoyt, W. A.; Steinle, Frank W., Jr.

    1993-01-01

    The Project Engineers' Intelligent Assistant (PEIA) is an integrated knowledge system developed using artificial intelligence technology, including hypertext, expert systems, and dynamic user interfaces. This system integrates documents, engineering codes, databases, and knowledge from domain experts into an enriched hypermedia environment and was designed to assist project engineers in planning and conducting wind tunnel tests. PEIA is a modular system which consists of an intelligent user-interface, seven modules and an integrated tool facility. Hypermedia technology is discussed and the seven PEIA modules are described. System maintenance and updating is very easy due to the modular structure and the integrated tool facility provides user access to commercial software shells for documentation, reporting, or database updating. PEIA is expected to provide project engineers with technical information, increase efficiency and productivity, and provide a realistic tool for personnel training.

  13. World energy projection system: Model documentation

    NASA Astrophysics Data System (ADS)

    1992-06-01

    The World Energy Project System (WEPS) is an accounting framework that incorporates projects from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product) and about the rate of incremental energy requirements met by hydropower, geothermal, coal, and natural gas to produce projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO). Two independently documented models presented in Figure 1, the Oil Market Simulation (OMS) model and the World Integrated Nuclear Evaluation System (WINES), provide projections of oil and nuclear power consumption published in the IEO. Output from a third independently documented model, and the International Coal Trade Model (ICTM), is not published in the IEO but is used in WEPS as a supply check on projections of world coal consumption produced by WEPS and published in the IEO. A WEPS model of natural gas production documented in this report provides the same type of implicit supply check on the WEPS projections of world natural gas consumption published in the IEO. Two additional models are included in Figure 1, the OPEC Capacity model and the Non-OPEC Oil Production model. These WEPS models provide inputs to the OMS model and are documented in this report.

  14. Project-focused activity and knowledge tracker: a unified data analysis, collaboration, and workflow tool for medicinal chemistry project teams.

    PubMed

    Brodney, Marian D; Brosius, Arthur D; Gregory, Tracy; Heck, Steven D; Klug-McLeod, Jacquelyn L; Poss, Christopher S

    2009-12-01

    Advances in the field of drug discovery have brought an explosion in the quantity of data available to medicinal chemists and other project team members. New strategies and systems are needed to help these scientists to efficiently gather, organize, analyze, annotate, and share data about potential new drug molecules of interest to their project teams. Herein we describe a suite of integrated services and end-user applications that facilitate these activities throughout the medicinal chemistry design cycle. The Automated Data Presentation (ADP) and Virtual Compound Profiler (VCP) processes automate the gathering, organization, and storage of real and virtual molecules, respectively, and associated data. The Project-Focused Activity and Knowledge Tracker (PFAKT) provides a unified data analysis and collaboration environment, enhancing decision-making, improving team communication, and increasing efficiency.

  15. Effective Tutorial Ontology Modeling on Organic Rice Farming for Non-Science & Technology Educated Farmers Using Knowledge Engineering

    ERIC Educational Resources Information Center

    Yanchinda, Jirawit; Chakpitak, Nopasit; Yodmongkol, Pitipong

    2015-01-01

    Knowledge of the appropriate technologies for sustainable development projects has encouraged grass roots development, which has in turn promoted sustainable and successful community development, which a requirement is to share and reuse this knowledge effectively. This research aims to propose a tutorial ontology effectiveness modeling on organic…

  16. Uncertainty Models for Knowledge-Based Systems

    DTIC Science & Technology

    1991-08-01

    D. V. (1982). Improving judgment by reconciling incoherence. The behavioral and brain Sciences, 4, 317-370. (26] Carnap , R. (1958). Introduction to...Symbolic Logic and its Applications. Dover, N. Y. References 597 [271 Carnap , R. (1959). The Logical Syntax of Language. Littlefield, Adam and Co...Paterson, New Jersey. [28] Carnap , R. (1960). Meaning and Necessity, a Study in Semantic and Model Logic. Phoenix Books, Univ. of Chicago. [29] Carrega

  17. NASA/DoD Aerospace Knowledge Diffusion Research Project. XXIII - Information technology and aerospace knowledge diffusion: Exploring the intermediary-end user interface in a policy framework

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Bishop, Ann P.; Kennedy, John M.

    1992-01-01

    Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowledge production, transfer, and use as equally important components of the process of knowledge diffusion. This article argues that the potential contributions of high-speed computing and networking systems will be diminished unless empirically derived knowledge about the information-seeking behavior of members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

  18. FY2017 Pilot Project Plan for the Nuclear Energy Knowledge and Validation Center Initiative

    SciTech Connect

    Ren, Weiju

    2016-10-30

    To prepare for technical development of computational code validation under the Nuclear Energy Knowledge and Validation Center (NEKVAC) initiative, several meetings were held by a group of experts of the Idaho National Laboratory (INL) and the Oak Ridge National Laboratory (ORNL) to develop requirements of, and formulate a structure for, a transient fuel database through leveraging existing resources. It was concluded in discussions of these meetings that a pilot project is needed to address the most fundamental issues that can generate immediate stimulus to near-future validation developments as well as long-lasting benefits to NEKVAC operation. The present project is proposed based on the consensus of these discussions. Analysis of common scenarios in code validation indicates that the incapability of acquiring satisfactory validation data is often a showstopper that must first be tackled before any confident validation developments can be carried out. Validation data are usually found scattered in different places most likely with interrelationships among the data not well documented, incomplete with information for some parameters missing, nonexistent, or unrealistic to experimentally generate. Furthermore, with very different technical backgrounds, the modeler, the experimentalist, and the knowledgebase developer that must be involved in validation data development often cannot communicate effectively without a data package template that is representative of the data structure for the information domain of interest to the desired code validation. This pilot project is proposed to use the legendary TREAT Experiments Database to provide core elements for creating an ideal validation data package. Data gaps and missing data interrelationships will be identified from these core elements. All the identified missing elements will then be filled in with experimental data if available from other existing sources or with dummy data if nonexistent. The resulting hybrid

  19. Knowledge Modelling to Support Inquiry Learning Tasks

    NASA Astrophysics Data System (ADS)

    Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek; Blasko, Miroslav

    In this paper we describe the SILVER toolkit, which is designed for tasks in which a user learns by analysing and interpreting a set of resources. The user categorises each resource according to the set of properties that they identify as being applicable to it. Due to the large amount of data generated by this type of task, the user may find it hard to identify patterns in their classification and tagging, to recognise their own inconsistencies or make comparisons between themselves and others. In the first SILVER task described, the ID3 decision tree algorithm is applied to the user's data to identify patterns and generate different types of feedback. Principles of spatial hypertext are used to produce an interactive visualization of the summarized data. As the user interacts with the resources, they can see their progress and changing perspective on the task. In the second SILVER task described, a conceptual model is used to provide explanations of the model underlying the user's classification of resources.

  20. Knowledge.

    ERIC Educational Resources Information Center

    Online-Offline, 1999

    1999-01-01

    This theme issue on knowledge includes annotated listings of Web sites, CD-ROMs and computer software, videos, books, and additional resources that deal with knowledge and differences between how animals and humans learn. Sidebars discuss animal intelligence, learning proper behavior, and getting news from the Internet. (LRW)

  1. Evaluating knowledge benefits of automotive lightweighting materials R&D projects.

    PubMed

    Peretz, Jean H; Das, Sujit; Tonn, Bruce E

    2009-08-01

    This paper presents a set of metrics used to evaluate short-run knowledge benefits that accrued from research and development (R&D) projects funded in fiscal years 2000-2004 by automotive lightweighting materials (ALM) of the U.S. Department of Energy (DOE). Although DOE presents to Congress energy, environmental, and security benefits and costs of its R&D efforts under the Government Performance and Results Act, DOE has yet to include knowledge benefits in that report [U.S. Department of Energy. (2007). Projected benefits of federal energy efficiency and renewable energy programs: FY2008 budget request. NREL/TP-640-41347 (March). Washington, DC: National Renewable Energy Laboratory for DOE Energy Efficiency and Renewable Energy. Retrieved February 12, 2007 from http://www1.eere.energy.gov/ba/pba/2008_benefits.html]. ALM focuses on development and validation of advanced technologies that significantly reduce automotive vehicle body and chassis weight without compromising other attributes such as safety, performance, recyclability, and cost [U.S. Department of Energy. (2005a). Automotive lightweighting materials 2004 annual progress report. Washington, DC: DOE Energy Efficiency and Renewable Energy. Retrieved March 30, 2005 from http://www.eere.energy.gov/vehiclesandfuels/resources/fcvt_alm_fy04.shtml]. The ultimate goal of ALM to have lightweighter materials in vehicles hinges on many issues, including the (1) collaborative nature of ALMs R&D with the automobile industry and (2) manufacturing knowledge gained through the R&D effort. The ALM projects evaluated in this paper yielded numerous knowledge benefits in the short run. While these knowledge benefits are impressive, there remains uncertainty about whether the research will lead to incorporation of lightweight materials by the Big Three automakers into their manufacturing process and introduction of lightweight vehicles into the marketplace. The uncertainty illustrates a difference between (1) knowledge

  2. Model Deaf/Blind Prevocational Training Project.

    ERIC Educational Resources Information Center

    Stoddard, Denis W.; And Others

    Presented is a report of a 4-month project designed to review literature on projects pertaining to deaf-blind prevocational training, to implement a model prevocational program for six severely handicapped deaf-blind students (10 years old), and to conduct two workshops in the area of prevocational training for deaf-blind students. Provided in…

  3. Academy Sharing Knowledge (ASK). The NASA Source for Project Management Magazine, Volume 11, March 2003

    NASA Technical Reports Server (NTRS)

    2003-01-01

    APPL is a research-based organization that serves NASA program and project managers, as well as project teams, at every level of development. In 1997, APPL was created from an earlier program to underscore the importance that NASA places on project management and project teams through a wide variety of products and services, including knowledge sharing, classroom and online courses, career development guidance, performance support, university partnerships, and advanced technology tools. ASK Magazine grew out of APPL's Knowledge Sharing Initiative. The stories that appear in ASK are written by the 'best of the best' project managers, primarily from NASA, but also from other government agencies and industry. Contributors to this issue include: Teresa Bailey, a librarian at the Jet Propulsion Laboratory, Roy Malone, Deputy Director in the Safety and Mission Assurance (S&MA) Office at the NASA Marshall Space Flight Center (MSFC), W. Scott Cameron, Capital Systems Manager for the Food and Beverage Global Business Unit of Procter and Gamble, Ray Morgan, recent retiree as Vice President of AeroVironment, Inc., Marty Davis, Program Manager of the Geostationary Operational Environmental Satellite (GOES) at the NASA Goddard Space Flight Center (GSFC) in Greenbelt, Maryland, Todd Post, editor of ASK Magazine, and works for EduTech Ltd. in Silver Spring, Maryland, Dr. Owen Gadeken, professor of Engineering Management at the Defense Acquisition University, Ken Schwer, currently the Project Manager of Solar Dynamics Observatory, Dr. Edward Hoffmwan, Director of the NASA Academy of Program and Project Leadership, Frank Snow, a member of the NASA Explorer Program at Goddard Space Flight Center since 1992, Dr. Alexander Laufer, Editor-in-Chief of ASK Magazine and a member of the Advisory Board of the NASA Academy of Program and Project Leadership, Judy Stokley, presently Air Force Program Executive Officer for Weapons in Washington, D.C. and Terry Little, Director of the Kinetic

  4. [Design and application of medical knowledge model on SAGE].

    PubMed

    Yang, Yan; Wu, Bin-fei; Ye, Feng; Lv, Xu-dong

    2009-01-01

    As an methodology for promoting the quality and efficiency of health care, clinical decision support systems (CDSSs) have gained much improvement. The knowledge base (KB) plays an important role in DSS. For CDSSs, the construction of KB means modeling the medical knowledge based on a suitable model. This study analyzes the SAGE model, then implements it on knowledge of diagnosis and treatment of Metabolic Syndrome (MS), and improves the SAGE to enhance its expression ability. The model is constructed as the KB in CDSS, and be applied in hospital. The evaluation result of CDSS reveals that the SAGE model should be useful in clinical application. Finally, this study propounds some points yet to be improved in the SAGE.

  5. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 35: The US government technical report and aerospace knowledge diffusion: Results of an on-going investigation

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Khan, A. Rahman; Barclay, Rebecca O.; Kennedy, John M.

    1993-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded (U.S.) R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this paper, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from two surveys (one of five studies) of our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report and close with a brief overview of on-going research into the use of the U.S. government technical report as a rhetorical device for transferring federally funded aerospace R&D.

  6. A Framework for Integrating Knowledge Management with Risk Management for Information Technology Projects (RiskManiT)

    ERIC Educational Resources Information Center

    Karadsheh, Louay A.

    2010-01-01

    This research focused on the challenges experienced when executing risk management activities for information technology projects. The lack of adequate knowledge management support of risk management activities has caused many project failures in the past. The research objective was to propose a conceptual framework of the Knowledge-Based Risk…

  7. Custom map projections for regional groundwater models

    USGS Publications Warehouse

    Kuniansky, Eve L.

    2017-01-01

    For regional groundwater flow models (areas greater than 100,000 km2), improper choice of map projection parameters can result in model error for boundary conditions dependent on area (recharge or evapotranspiration simulated by application of a rate using cell area from model discretization) and length (rivers simulated with head-dependent flux boundary). Smaller model areas can use local map coordinates, such as State Plane (United States) or Universal Transverse Mercator (correct zone) without introducing large errors. Map projections vary in order to preserve one or more of the following properties: area, shape, distance (length), or direction. Numerous map projections are developed for different purposes as all four properties cannot be preserved simultaneously. Preservation of area and length are most critical for groundwater models. The Albers equal-area conic projection with custom standard parallels, selected by dividing the length north to south by 6 and selecting standard parallels 1/6th above or below the southern and northern extent, preserves both area and length for continental areas in mid latitudes oriented east-west. Custom map projection parameters can also minimize area and length error in non-ideal projections. Additionally, one must also use consistent vertical and horizontal datums for all geographic data. The generalized polygon for the Floridan aquifer system study area (306,247.59 km2) is used to provide quantitative examples of the effect of map projections on length and area with different projections and parameter choices. Use of improper map projection is one model construction problem easily avoided.

  8. Custom Map Projections for Regional Groundwater Models.

    PubMed

    Kuniansky, Eve L

    2017-03-01

    For regional groundwater flow models (areas greater than 100,000 km(2) ), improper choice of map projection parameters can result in model error for boundary conditions dependent on area (recharge or evapotranspiration simulated by application of a rate using cell area from model discretization) and length (rivers simulated with head-dependent flux boundary). Smaller model areas can use local map coordinates, such as State Plane (United States) or Universal Transverse Mercator (correct zone) without introducing large errors. Map projections vary in order to preserve one or more of the following properties: area, shape, distance (length), or direction. Numerous map projections are developed for different purposes as all four properties cannot be preserved simultaneously. Preservation of area and length are most critical for groundwater models. The Albers equal-area conic projection with custom standard parallels, selected by dividing the length north to south by 6 and selecting standard parallels 1/6th above or below the southern and northern extent, preserves both area and length for continental areas in mid latitudes oriented east-west. Custom map projection parameters can also minimize area and length error in non-ideal projections. Additionally, one must also use consistent vertical and horizontal datums for all geographic data. The generalized polygon for the Floridan aquifer system study area (306,247.59 km(2) ) is used to provide quantitative examples of the effect of map projections on length and area with different projections and parameter choices. Use of improper map projection is one model construction problem easily avoided.

  9. Transdisciplinary Project Communication and Knowledge Sharing Experiences in Tanzania and Zambia through a One Health Lens.

    PubMed

    Bagnol, Brigitte; Clarke, Elizabeth; Li, Mu; Maulaga, Wende; Lumbwe, Hilda; McConchie, Robyn; de Bruyn, Julia; Alders, Robyn Gwen

    2016-01-01

    The project "Strengthening food and nutrition security through family poultry and crop integration in Tanzania and Zambia" brings together animal, crop, and human health specialists, economists, ecologists, social scientists, and practitioners to work with participating communities. It aims to increase poultry value chain, crop farming systems efficiency, and household food and nutrition security and thus requires understanding of, and ability to work effectively within, complex systems. In this context, communication knowledge sharing and synthesis between stakeholders from diverse backgrounds and a range of experiences, perspectives, agendas, and knowledge is a challenge. To address this situation, communication is conceived as a dialog and a participatory process bringing together all stakeholders. This process results in unanticipated and unexpected results that require a high degree of flexibility and adaptability from team members. The paper analyses the approach and aim of the communication strategy developed for the project and the challenges faced.

  10. Transdisciplinary Project Communication and Knowledge Sharing Experiences in Tanzania and Zambia through a One Health Lens

    PubMed Central

    Bagnol, Brigitte; Clarke, Elizabeth; Li, Mu; Maulaga, Wende; Lumbwe, Hilda; McConchie, Robyn; de Bruyn, Julia; Alders, Robyn Gwen

    2016-01-01

    The project “Strengthening food and nutrition security through family poultry and crop integration in Tanzania and Zambia” brings together animal, crop, and human health specialists, economists, ecologists, social scientists, and practitioners to work with participating communities. It aims to increase poultry value chain, crop farming systems efficiency, and household food and nutrition security and thus requires understanding of, and ability to work effectively within, complex systems. In this context, communication knowledge sharing and synthesis between stakeholders from diverse backgrounds and a range of experiences, perspectives, agendas, and knowledge is a challenge. To address this situation, communication is conceived as a dialog and a participatory process bringing together all stakeholders. This process results in unanticipated and unexpected results that require a high degree of flexibility and adaptability from team members. The paper analyses the approach and aim of the communication strategy developed for the project and the challenges faced. PMID:26904532

  11. 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.

  12. 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.

  13. The Knowledge or Random Guessing Model for Matching Tests.

    ERIC Educational Resources Information Center

    van der Ven, A. H. G. S.; Gremmen, F. M.

    1992-01-01

    A statistical test of the knowledge or random guessing model is presented. A version of the model is introduced in which it is assumed that alternatives can be ordered according to a Guttman scale. Three examples illustrate its application to data from a total of 590 college students. (Author/SLD)

  14. Knowledge Management Model: Practical Application for Competency Development

    ERIC Educational Resources Information Center

    Lustri, Denise; Miura, Irene; Takahashi, Sergio

    2007-01-01

    Purpose: This paper seeks to present a knowledge management (KM) conceptual model for competency development and a case study in a law service firm, which implemented the KM model in a competencies development program. Design/methodology/approach: The case study method was applied according to Yin (2003) concepts, focusing a six-professional group…

  15. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 6: Aerospace knowledge diffusion in the academic community: A report of phase 3 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    Descriptive and analytical data regarding the flow of aerospace-based scientific and technical information (STI) in the academic community are presented. An overview is provided of the Federal Aerospace Knowledge Diffusion Research Project, illustrating a five-year program on aerospace knowledge diffusion. Preliminary results are presented of the project's research concerning the information-seeking habits, practices, and attitudes of U.S. aerospace engineering and science students and faculty. The type and amount of education and training in the use of information sources are examined. The use and importance ascribed to various information products by U.S. aerospace faculty and students including computer and other information technology is assessed. An evaluation of NASA technical reports is presented and it is concluded that NASA technical reports are rated high in terms of quality and comprehensiveness, citing Engineering Index and IAA as the most frequently used materials by faculty and students.

  16. PROJECTED PRINCIPAL COMPONENT ANALYSIS IN FACTOR MODELS

    PubMed Central

    Fan, Jianqing; Liao, Yuan; Wang, Weichen

    2016-01-01

    This paper introduces a Projected Principal Component Analysis (Projected-PCA), which employees principal component analysis to the projected (smoothed) data matrix onto a given linear space spanned by covariates. When it applies to high-dimensional factor analysis, the projection removes noise components. We show that the unobserved latent factors can be more accurately estimated than the conventional PCA if the projection is genuine, or more precisely, when the factor loading matrices are related to the projected linear space. When the dimensionality is large, the factors can be estimated accurately even when the sample size is finite. We propose a flexible semi-parametric factor model, which decomposes the factor loading matrix into the component that can be explained by subject-specific covariates and the orthogonal residual component. The covariates’ effects on the factor loadings are further modeled by the additive model via sieve approximations. By using the newly proposed Projected-PCA, the rates of convergence of the smooth factor loading matrices are obtained, which are much faster than those of the conventional factor analysis. The convergence is achieved even when the sample size is finite and is particularly appealing in the high-dimension-low-sample-size situation. This leads us to developing nonparametric tests on whether observed covariates have explaining powers on the loadings and whether they fully explain the loadings. The proposed method is illustrated by both simulated data and the returns of the components of the S&P 500 index. PMID:26783374

  17. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 23: Information technology and aerospace knowledge diffusion: Exploring the intermediary-end user interface in a policy framework

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Bishop, Ann P.; Kennedy, John M.

    1992-01-01

    Federal attempts to stimulate technological innovation have been unsuccessful because of the application of an inappropriate policy framework that lacks conceptual and empirical knowledge of the process of technological innovation and fails to acknowledge the relationship between knowled reproduction, transfer, and use as equally important components of the process of knowledge diffusion. It is argued that the potential contributions of high-speed computing and networking systems will be diminished unless empirically derived knowledge about the information-seeking behavior of the members of the social system is incorporated into a new policy framework. Findings from the NASA/DoD Aerospace Knowledge Diffusion Research Project are presented in support of this assertion.

  18. Predictive Modeling and Integrative Physiology: The Physiome Projects

    PubMed Central

    Bassingthwaighte, James B.

    2012-01-01

    The fundamental paradigm in physiological research is integration. Biological researchers are now ready to define for a species a mathematical construct, the Physiome, the all-encompassing quantitative model of an organism. The goal of the human Physiome project is improved health care, through deep understanding of the organism, all the way down to the genes, reconciling contradictions and clarifying cause and effect. The strategies for accomplishing this long term aim include the systematic gathering of old and new knowledge into shared databases, and integrating the information into self consistent, reproducible, mathematical models. Multiscale models, for practicality, cover only a few levels at a time. Beginning at the middle level, the cell, where the knowledge base is largest and most secure, and the elements well defined as functional biophysical/biochemical modules, the plan is to work up to the organism level and down to the gene level, in the end providing clear linkages between phenotype and the genome. PMID:22919435

  19. MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft

    PubMed Central

    Xu, Xieyu; Yang, Lingyu; Zhang, Jing

    2015-01-01

    This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage. PMID:26180839

  20. PROCESS DOCUMENTATION: A MODEL FOR KNOWLEDGE MANAGEMENT IN ORGANIZATIONS

    PubMed Central

    Haddadpoor, Asefeh; Taheri, Behjat; Nasri, Mehran; Heydari, Kamal; Bahrami, Gholamreza

    2015-01-01

    Background: Continuous and interconnected processes are a chain of activities that turn the inputs of an organization to its outputs and help achieve partial and overall goals of the organization. These activates are carried out by two types of knowledge in the organization called explicit and implicit knowledge. Among these, implicit knowledge is the knowledge that controls a major part of the activities of an organization, controls these activities internally and will not be transferred to the process owners unless they are present during the organization’s work. Therefore the goal of this study is identification of implicit knowledge and its integration with explicit knowledge in order to improve human resources management, physical resource management, information resource management, training of new employees and other activities of Isfahan University of Medical Science. Methods: The project for documentation of activities in department of health of Isfahan University of Medical Science was carried out in several stages. First the main processes and related sub processes were identified and categorized with the help of planning expert. The categorization was carried out from smaller processes to larger ones. In this stage the experts of each process wrote down all their daily activities and organized them into general categories based on logical and physical relations between different activities. Then each activity was assigned a specific code. The computer software was designed after understanding the different parts of the processes, including main and sup processes, and categorization, which will be explained in the following sections. Results: The findings of this study showed that documentation of activities can help expose implicit knowledge because all of inputs and outputs of a process along with the length, location, tools and different stages of the process, exchanged information, storage location of the information and information flow can be

  1. World Energy Projection System Plus Model Documentation: Main Model

    EIA Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  2. World Energy Projection System Plus Model Documentation: Greenhouse Gases Model

    EIA Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  3. World Energy Projection System Plus Model Documentation: Refinery Model

    EIA Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  4. World Energy Projection System Plus Model Documentation: Electricity Model

    EIA Publications

    2017-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  5. World Energy Projection System Plus Model Documentation: Coal Model

    EIA Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  6. World Energy Projection System Plus Model Documentation: Industrial Model

    EIA Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  7. World Energy Projection System Plus Model Documentation: Residential Model

    EIA Publications

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  8. World Energy Projection System Plus Model Documentation: Transportation Model

    EIA Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  9. World Energy Projection System Plus Model Documentation: District Heat Model

    EIA Publications

    2017-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  10. World Energy Projection System Plus Model Documentation: Natural Gas Model

    EIA Publications

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  11. Model county ordinance for wind projects

    SciTech Connect

    Bain, D.A.

    1997-12-31

    Permitting is a crucial step in the development cycle of a wind project and permits affect the timing, cost, location, feasibility, layout, and impacts of wind projects. Counties often have the lead responsibility for permitting yet few have appropriate siting regulations for wind projects. A model ordinance allows a county to quickly adopt appropriate permitting procedures. The model county wind ordinance developed for use by northwest states is generally applicable across the country and counties seeking to adopt siting or zoning regulations for wind will find it a good starting place. The model includes permitting procedures for wind measurement devices and two types of wind systems. Both discretionary and nondiscretionary standards apply to wind systems and a conditional use permit would be issued. The standards, criteria, conditions for approval, and process procedures are defined for each. Adaptation examples for the four northwest states are provided along with a model Wind Resource Overlay Zone.

  12. Space market model development project, phase 3

    NASA Technical Reports Server (NTRS)

    Bishop, Peter C.; Hamel, Gary P.

    1989-01-01

    The results of a research project investigating information needs for space commercialization is described. The Space Market Model Development Project (SMMDP) was designed to help NASA identify the information needs of the business community and to explore means to meet those needs. The activity of the SMMDP is reviewed and a report of its operation via three sections is presented. The first part contains a brief historical review of the project since inception. The next part reports results of Phase 3, the most recent stage of activity. Finally, overall conclusions and observations based on the SMMDP research results are presented.

  13. Modelling the Management of Systems Engineering Projects

    DTIC Science & Technology

    2013-02-01

    management. Particularly in early concept development phases of a project, it is important for those involved in Model-Based Systems Engineering ( MBSE ) to...the MBSE methods and technical activities they are conducting. In his paper at the 2004 INCOSE International Symposium19, Eric Honour concludes...the project from the point of view of the SEM provides the benefits inherent in the application of MBSE ; consistency, traceability, reuse and

  14. Semantically Enriched Tools for the Knowledge Society: Case of Project Management and Presentation

    NASA Astrophysics Data System (ADS)

    Talaš, Jakub; Gregar, Tomáš; Pitner, Tomáš

    Working with semantically rich data is one of the stepping stones to the knowledge society. In recent years, gathering, processing, and using semantic data have made a big progress, particularly in the academic environment. However, the advantages of the semantic description remain commonly undiscovered by a "common user", including people from academia and IT industry that could otherwise profit from capabilities of contemporary semantic systems in the areas of project management and/or technology-enhanced learning. Mostly, the root cause lays in complexity and non-transparency of the mainstream semantic applications. The semantic tool for project management and presentation consists mainly of a module for the semantic annotation of wiki pages integrated into the project management system Trac. It combines the dynamic, easy-of-use nature and applicability of a wiki for project management with the advantages of semantically rich and accurate approach. The system is released as open-source (OS) and is used for management of students' and research projects at the research lab of the authors.

  15. Uncertainty Quantification in Climate Modeling and Projection

    SciTech Connect

    Qian, Yun; Jackson, Charles; Giorgi, Filippo; Booth, Ben; Duan, Qingyun; Forest, Chris; Higdon, Dave; Hou, Z. Jason; Huerta, Gabriel

    2016-05-01

    The projection of future climate is one of the most complex problems undertaken by the scientific community. Although scientists have been striving to better understand the physical basis of the climate system and to improve climate models, the overall uncertainty in projections of future climate has not been significantly reduced (e.g., from the IPCC AR4 to AR5). With the rapid increase of complexity in Earth system models, reducing uncertainties in climate projections becomes extremely challenging. Since uncertainties always exist in climate models, interpreting the strengths and limitations of future climate projections is key to evaluating risks, and climate change information for use in Vulnerability, Impact, and Adaptation (VIA) studies should be provided with both well-characterized and well-quantified uncertainty. The workshop aimed at providing participants, many of them from developing countries, information on strategies to quantify the uncertainty in climate model projections and assess the reliability of climate change information for decision-making. The program included a mixture of lectures on fundamental concepts in Bayesian inference and sampling, applications, and hands-on computer laboratory exercises employing software packages for Bayesian inference, Markov Chain Monte Carlo methods, and global sensitivity analyses. The lectures covered a range of scientific issues underlying the evaluation of uncertainties in climate projections, such as the effects of uncertain initial and boundary conditions, uncertain physics, and limitations of observational records. Progress in quantitatively estimating uncertainties in hydrologic, land surface, and atmospheric models at both regional and global scales was also reviewed. The application of Uncertainty Quantification (UQ) concepts to coupled climate system models is still in its infancy. The Coupled Model Intercomparison Project (CMIP) multi-model ensemble currently represents the primary data for

  16. [The Ineq-Cities research project on urban health inequalities: knowledge dissemination and transfer in Spain].

    PubMed

    Camprubí, Lluís; Díez, Èlia; Morrison, Joana; Borrell, Carme

    2014-01-01

    The Ineq-Cities project analyzed inequalities in mortality in small areas and described interventions to reduce inequalities in health in 16 European cities. This field note describes the dissemination of the project in Spain. In accordance with the recommendations of the project, the objective was to translate relevant results to key stakeholders - mainly technical staff, municipal officers and local social agents - and to provide an introduction to urban inequalities in health and strategies to address them. Twenty-four workshops were given, attended by more than 350 professionals from 92 municipalities. Knowledge dissemination consisted of the publication of a short book on inequalities in health and the approach to this problem in cities and three articles in nonspecialized media, a proposal for a municipal motion, and knowledge dissemination activities in social networks. Users rated these activities highly and stressed the need to systematize these products. This process may have contributed to the inclusion of health inequalities in the political agenda and to the training of officers to correct them.

  17. Model for Competency-Based Personnel Preparation in Early Childhood Education. PROJECT PREPARE.

    ERIC Educational Resources Information Center

    Pisarchick, Sally E.; And Others

    This booklet introduces Project Prepare, a competency-based model for inservice or preservice personnel preparation in early childhood special education. Each of the nine Project Prepare modules focuses upon a cluster of competencies (knowledge, skills, and attitudes/values) needed by personnel working with young children who have disabilities.…

  18. A decade of human genome project conclusion: Scientific diffusion about our genome knowledge.

    PubMed

    Moraes, Fernanda; Góes, Andréa

    2016-05-06

    The Human Genome Project (HGP) was initiated in 1990 and completed in 2003. It aimed to sequence the whole human genome. Although it represented an advance in understanding the human genome and its complexity, many questions remained unanswered. Other projects were launched in order to unravel the mysteries of our genome, including the ENCyclopedia of DNA Elements (ENCODE). This review aims to analyze the evolution of scientific knowledge related to both the HGP and ENCODE projects. Data were retrieved from scientific articles published in 1990-2014, a period comprising the development and the 10 years following the HGP completion. The fact that only 20,000 genes are protein and RNA-coding is one of the most striking HGP results. A new concept about the organization of genome arose. The ENCODE project was initiated in 2003 and targeted to map the functional elements of the human genome. This project revealed that the human genome is pervasively transcribed. Therefore, it was determined that a large part of the non-protein coding regions are functional. Finally, a more sophisticated view of chromatin structure emerged. The mechanistic functioning of the genome has been redrafted, revealing a much more complex picture. Besides, a gene-centric conception of the organism has to be reviewed. A number of criticisms have emerged against the ENCODE project approaches, raising the question of whether non-conserved but biochemically active regions are truly functional. Thus, HGP and ENCODE projects accomplished a great map of the human genome, but the data generated still requires further in depth analysis. © 2016 by The International Union of Biochemistry and Molecular Biology, 44:215-223, 2016.

  19. Collective knowledge sharing as a social justice strategy: the difference it made in a service project about preterm birth disparity.

    PubMed

    Boutain, Doris M

    2009-01-01

    Knowledge about how health disparities are created and sustained from those affected is needed. Collective knowledge sharing is one way to redefine and revalue dialogue and critique processes with the aim of promoting just relationships of knowledge production. This article describes how a community service project focused on using collective knowledge sharing as a social justice strategy with health ministry volunteers produced insights about preterm birth disparity issues. Project insights related to (1) the connection between faith and health, (2) the significance of family and congregational stories, and (3) the importance of praising assets in the context of disparity recognition.

  20. Upper Secondary Teachers' Knowledge for Teaching Chemical Bonding Models

    ERIC Educational Resources Information Center

    Bergqvist, Anna; Drechsler, Michal; Chang Rundgren, Shu-Nu

    2016-01-01

    Researchers have shown a growing interest in science teachers' professional knowledge in recent decades. The article focuses on how chemistry teachers impart chemical bonding, one of the most important topics covered in upper secondary school chemistry courses. Chemical bonding is primarily taught using models, which are key for understanding…

  1. A Proposed Model of Jazz Theory Knowledge Acquisition

    ERIC Educational Resources Information Center

    Ciorba, Charles R.; Russell, Brian E.

    2014-01-01

    The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from 0.92 to 0.94. Confirmatory factor analyses of the motivation (standardized root mean square residual…

  2. An Integrated Model for Effective Knowledge Management in Chinese Organizations

    ERIC Educational Resources Information Center

    An, Xiaomi; Deng, Hepu; Wang, Yiwen; Chao, Lemen

    2013-01-01

    Purpose: The purpose of this paper is to provide organizations in the Chinese cultural context with a conceptual model for an integrated adoption of existing knowledge management (KM) methods and to improve the effectiveness of their KM activities. Design/methodology/approaches: A comparative analysis is conducted between China and the western…

  3. Cultivating Knowledge Sharing through the Relationship Management Maturity Model

    ERIC Educational Resources Information Center

    Martin, Valerie A.; Hatzakis, Tally; Lycett, Mark; Macredie, Robert

    2005-01-01

    Purpose: The purpose of this paper is to present the development of the relationship management maturity model (RMMM), the output of an initiative aimed at bridging the gap between business units and the IT organisation. It does this through improving and assessing knowledge sharing between business and IT staff in Finco, a large financial…

  4. Modeling Semantic and Structural Knowledge in Web Navigation

    ERIC Educational Resources Information Center

    Juvina, Ion; van Oostendorp, Herre

    2008-01-01

    Research on cognitive modeling of information search and Web navigation emphasizes the importance of "information scent" (the relevance of semantic cues such as link labels and headings to a reader's goal; Pirolli & Card, 1999). This article shows that not only semantic but also structural knowledge is involved in navigating the Web…

  5. Understanding the Codevelopment of Modeling Practice and Ecological Knowledge

    ERIC Educational Resources Information Center

    Manz, Eve

    2012-01-01

    Despite a recent focus on engaging students in epistemic practices, there is relatively little research on how learning environments can support the simultaneous, coordinated development of both practice and the knowledge that emerges from and supports scientific activity. This study reports on the co-construction of modeling practice and…

  6. World Energy Projection System model documentation

    SciTech Connect

    Hutzler, M.J.; Anderson, A.T.

    1997-09-01

    The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

  7. VVER Knowledge Preservation and Transfer within the Frame of CORONA Project Activities

    NASA Astrophysics Data System (ADS)

    Mitev, Mladen; Corniani, Enrico; Manolova, Maria; Pironkov, Lybomir; Tsvetkov, Iskren

    2016-02-01

    The CORONA project is funded by the European Commission under the FP7 programme with overall objective to establish a Regional Centre of Competence for VVER Technology and Nuclear Applications. The Centre will provide support and services for preservation and transfer of VVER-related nuclear knowledge as well as know-how and capacity building. Specific training schemes aimed at nuclear professionals and researchers, non-nuclear professionals and students are developed and implemented in cooperation with local, national and international training and educational institutions. Pilot trainings are executed for each specific target group to assess the applicability of the training materials. The training scheme implemented for nuclear professionals and researchers is focussed on the NPP Lifetime Management. The available knowledge on enhancing safety and performance of nuclear installations with VVER technology is used in the preparation of the training materials. The Online Multimedia Training Course on VVER Reactor Pressure Vessel Embrittlement and Integrity Assessment, developed by the joint effort of JRC-IET and IAEA is used in the training. The outcome collected from the trainees showed that the tool meets its primary goal of consolidating the existing knowledge on the VVER RPV Embrittlement and Integrity Assessment, provides adequate ground for transfer of this knowledge.

  8. Applying knowledge-anchored hypothesis discovery methods to advance clinical and translational research: the OAMiner project

    PubMed Central

    Jackson, Rebecca D; Best, Thomas M; Borlawsky, Tara B; Lai, Albert M; James, Stephen; Gurcan, Metin N

    2012-01-01

    The conduct of clinical and translational research regularly involves the use of a variety of heterogeneous and large-scale data resources. Scalable methods for the integrative analysis of such resources, particularly when attempting to leverage computable domain knowledge in order to generate actionable hypotheses in a high-throughput manner, remain an open area of research. In this report, we describe both a generalizable design pattern for such integrative knowledge-anchored hypothesis discovery operations and our experience in applying that design pattern in the experimental context of a set of driving research questions related to the publicly available Osteoarthritis Initiative data repository. We believe that this ‘test bed’ project and the lessons learned during its execution are both generalizable and representative of common clinical and translational research paradigms. PMID:22647689

  9. Evidence implementation: Development of an online methodology from the knowledge-to-action model of knowledge translation.

    PubMed

    Lockwood, Craig; Stephenson, Matthew; Lizarondo, Lucylynn; van Den Hoek, Joan; Harrison, Margaret

    2016-08-01

    This paper describes an online facilitation for operationalizing the knowledge-to-action (KTA) model. The KTA model incorporates implementation planning that is optimally suited to the information needs of clinicians. The can-implement(©) is an evidence implementation process informed by the KTA model. An online counterpart, the can-implement.pro(©) , was developed to enable greater dissemination and utilization of the can-implement(©) process. The driver for this work was health professionals' need for facilitation that is iterative, informed by context and localized to the specific needs of users. The literature supporting this paper includes evaluation studies and theoretical concepts relevant to KTA model, evidence implementation and facilitation. Nursing and other health disciplines require a skill set and resources to successfully navigate the complexity of organizational requirements, inter-professional leadership and day-to-day practical management to implement evidence into clinical practice. The can-implement.pro(©) provides an accessible, inclusive system for evidence implementation projects. There is empirical support for evidence implementation informed by the KTA model, which in this phase of work has been developed for online uptake. Nurses and other clinicians seeking to implement evidence could benefit from the directed actions, planning advice and information embedded in the phases and steps of can-implement.pro(©) .

  10. "Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process

    SciTech Connect

    Sanfilippo, Antonio P.; Nibbs, Faith G.

    2007-08-24

    While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

  11. Linking knowledge and action through mental models of sustainable agriculture.

    PubMed

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-09-09

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

  12. Smoke and Emissions Model Intercomparison Project (SEMIP)

    NASA Astrophysics Data System (ADS)

    Larkin, N. K.; Raffuse, S.; Strand, T.; Solomon, R.; Sullivan, D.; Wheeler, N.

    2008-12-01

    Fire emissions and smoke impacts from wildland fire are a growing concern due to increasing fire season severity, dwindling tolerance of smoke by the public, tightening air quality regulations, and their role in climate change issues. Unfortunately, while a number of models and modeling system solutions are available to address these issues, the lack of quantitative information on the limitations and difference between smoke and emissions models impedes the use of these tools for real-world applications (JFSP, 2007). We describe a new, open-access project to directly address this issue, the open-access Smoke Emissions Model Intercomparison Project (SEMIP) and invite the community to participate. Preliminary work utilizing the modular BlueSky framework to directly compare fire location and size information, fuel loading amounts, fuel consumption rates, and fire emissions from a number of current models that has found model-to-model variability as high as two orders of magnitude for an individual fire. Fire emissions inventories also show significant variability on both regional and national scales that are dependant on the fire location information used (ground report vs. satellite), the fuel loading maps assumed, and the fire consumption models employed. SEMIP expands on this work and creates an open-access database of model results and observations with the goal of furthering model development and model prediction usability for real-world decision support.

  13. A model for a knowledge-based system's life cycle

    NASA Technical Reports Server (NTRS)

    Kiss, Peter A.

    1990-01-01

    The American Institute of Aeronautics and Astronautics has initiated a Committee on Standards for Artificial Intelligence. Presented here are the initial efforts of one of the working groups of that committee. The purpose here is to present a candidate model for the development life cycle of Knowledge Based Systems (KBS). The intent is for the model to be used by the Aerospace Community and eventually be evolved into a standard. The model is rooted in the evolutionary model, borrows from the spiral model, and is embedded in the standard Waterfall model for software development. Its intent is to satisfy the development of both stand-alone and embedded KBSs. The phases of the life cycle are detailed as are and the review points that constitute the key milestones throughout the development process. The applicability and strengths of the model are discussed along with areas needing further development and refinement by the aerospace community.

  14. Stabilizing a Bicycle: A Modeling Project

    ERIC Educational Resources Information Center

    Pennings, Timothy J.; Williams, Blair R.

    2010-01-01

    This article is a project that takes students through the process of forming a mathematical model of bicycle dynamics. Beginning with basic ideas from Newtonian mechanics (forces and torques), students use techniques from calculus and differential equations to develop the equations of rotational motion for a bicycle-rider system as it tips from…

  15. Knowledge and vision engines: a new generation of image understanding systems combining computational intelligence methods and model-based knowledge representation and reasoning

    NASA Astrophysics Data System (ADS)

    Kuvychko, Igor

    2000-10-01

    Vision is a part of a larger informational system that converts visual information into knowledge structures. These structures drive vision process, resolving ambiguity and uncertainty via feedback, and provide image understanding, that is an interpretation of visual information in terms of such knowledge models. The solution to Image Understanding problems is suggested in form of active multilevel hierarchical networks represented dually as discrete and continuous structures. Computational intelligence methods transform images into model-based knowledge representation. Certainty Dimension converts attractors in neural networks into fuzzy sets, preserving input-output relationships. Symbols naturally emerge in such networks. Symbolic Space is a dual structure that combines closed distributed space split by the set of fuzzy regions, and discrete set of symbols equivalent to the cores of regions represented as points in the Certainty dimension. Model Space carries knowledge in form of links and relations between the symbols, and supports graph, diagrammatic and topological operations. Composition of spaces works similar to M. Minsky frames and agents, Gerard Edelman's maps of maps, etc., combining machine learning, classification and analogy together with induction, deduction and other methods of higher level model-based reasoning. Based on such principles, an Image Understanding system can convert images into knowledge models, effectively resolving uncertainty and ambiguity via feedback projections and does not require supercomputers.

  16. Spatial modeling of households' knowledge about arsenic pollution in Bangladesh.

    PubMed

    Sarker, M Mizanur Rahman

    2012-04-01

    Arsenic in drinking water is an important public health issue in Bangladesh, which is affected by households' knowledge about arsenic threats from their drinking water. In this study, spatial statistical models were used to investigate the determinants and spatial dependence of households' knowledge about arsenic risk. The binary join matrix/binary contiguity matrix and inverse distance spatial weight matrix techniques are used to capture spatial dependence in the data. This analysis extends the spatial model by allowing spatial dependence to vary across divisions and regions. A positive spatial correlation was found in households' knowledge across neighboring districts at district, divisional and regional levels, but the strength of this spatial correlation varies considerably by spatial weight. Literacy rate, daily wage rate of agricultural labor, arsenic status, and percentage of red mark tube well usage in districts were found to contribute positively and significantly to households' knowledge. These findings have policy implications both at regional and national levels in mitigating the present arsenic crisis and to ensure arsenic-free water in Bangladesh.

  17. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 5: Aerospace librarians and technical information specialists as information intermediaries: A report of phase 2 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    The objective of the NASA/DOD Aerospace Knowledge Diffusion Research Project is to provide descriptive and analytical data regarding the flow of scientific and technical information (STI) at the individual, organizational, national, and international levels, placing emphasis on the systems used to diffuse the results of federally funded aerospace STI. An overview of project assumptions, objectives, and design is presented and preliminary results of the phase 2 aerospace library survey are summarized. Phase 2 addressed aerospace knowledge transfer and use within the larger social system and focused on the flow of aerospace STI in government and industry and the role of the information intermediary in knowledge transfer.

  18. Agricultural model intercomparison and improvement project: Overview of model intercomparisons

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Improvement of crop simulation models to better estimate growth and yield is one of the objectives of the Agricultural Model Intercomparison and Improvement Project (AgMIP). The overall goal of AgMIP is to provide an assessment of crop model through rigorous intercomparisons and evaluate future clim...

  19. Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

    NASA Astrophysics Data System (ADS)

    Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

    2014-05-01

    In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. Howerver, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving

  20. Flood damage modeling based on expert knowledge: Insights from French damage model for agricultural sector

    NASA Astrophysics Data System (ADS)

    Grelot, Frédéric; Agenais, Anne-Laurence; Brémond, Pauline

    2015-04-01

    In France, since 2011, it is mandatory for local communities to conduct cost-benefit analysis (CBA) of their flood management projects, to make them eligible for financial support from the State. Meanwhile, as a support, the French Ministry in charge of Environment proposed a methodology to fulfill CBA. Like for many other countries, this methodology is based on the estimation of flood damage. However, existing models to estimate flood damage were judged not convenient for a national-wide use. As a consequence, the French Ministry in charge of Environment launched studies to develop damage models for different sectors, such as: residential sector, public infrastructures, agricultural sector, and commercial and industrial sector. In this presentation, we aim at presenting and discussing methodological choices of those damage models. They all share the same principle: no sufficient data from past events were available to build damage models on a statistical analysis, so modeling was based on expert knowledge. We will focus on the model built for agricultural activities and more precisely for agricultural lands. This model was based on feedback from 30 agricultural experts who experienced floods in their geographical areas. They were selected to have a representative experience of crops and flood conditions in France. The model is composed of: (i) damaging functions, which reveal physiological vulnerability of crops, (ii) action functions, which correspond to farmers' decision rules for carrying on crops after a flood, and (iii) economic agricultural data, which correspond to featured characteristics of crops in the geographical area where the flood management project studied takes place. The two first components are generic and the third one is specific to the area studied. It is, thus, possible to produce flood damage functions adapted to different agronomic and geographical contexts. In the end, the model was applied to obtain a pool of damage functions giving

  1. The KINDRA H2020 Project: a knowledge inventory for hydrogeology research

    NASA Astrophysics Data System (ADS)

    Petitta, Marco; Bodo, Balazs; Caschetto, Mariachiara; Correia, Victor; Cseko, Adrienn; Fernandez, Isabel; Hartai, Eva; Hinsby, Klaus; Madarasz, Tamas; Garcia Padilla, Mercedes; Szucs, Peter

    2015-04-01

    Hydrogeology-related research activities cover a wide spectrum of research areas at EU and national levels. This fact is due to the intrinsic nature of the "water" topic, representing a key-aspect of the modern society: water is not only necessary for human, biological and environmental requirements, but it is one basic "engine" of several interconnected research topics, including energy, health, climate, food, security and others as exemplified by the water-food-energy-climate nexus described by e.g. the World Economic Forum. With respect to the water cycle, the management of groundwater brings additional challenges to the implementation of the Water Framework Directive (WFD) and climate change adaptation (such as integrated transboundary management of groundwater resources). This fact is related to the nature of groundwater, which represents the "hidden" part of the water cycle, difficult to evaluate, communicate and appreciate, although it sustains the health of both humans and ecosystems as well as industrial and agricultural production. In general, groundwater has been considered mainly for its relationships with surface waters, influencing river flow, e-flows, GDE (groundwater-dependent ecosystems), pollutant fate, agricultural practices, water scarcity and others. In this framework, the importance of groundwater inside the WFD has been reinforced by the daughter directive on groundwater. In the last years, particular insights have been developed on surface waters/groundwater interactions and several related research projects have been carried out. Nevertheless, a specific focus on hydrogeology, the science branch studying groundwater, has not looked into until now, despite of its utmost importance as renewable, high-quality, naturally protected (but still vulnerable) resource. At the same time the European knowledge-base that has been acquired on this important topic is widespread into several projects, plans, actions, realized at national and fragmented

  2. Scientific Knowledge and Attitude Change: The Impact of a Citizen Science Project. Research Report

    ERIC Educational Resources Information Center

    Brossard, Dominique; Lewenstein, Bruce; Bonney, Rick

    2005-01-01

    This paper discusses the evaluation of an informal science education project, The Birdhouse Network (TBN) of the Cornell Laboratory of Ornithology. The Elaboration Likelihood Model and the theory of Experiential Education were used as frameworks to analyse the impact of TBN on participants' attitudes toward science and the environment, on their…

  3. The Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Noble, Sarah; French, Raymond; Nall, Mark; Muery, Kimberly

    2009-01-01

    LMMP was initiated in 2007 to help in making the anticipated results of the LRO spacecraft useful and accessible to Constellation. The LMMP is managing and developing a suite of lunar mapping and modeling tools and products that support the Constellation Program (CxP) and other lunar exploration activities. In addition to the LRO Principal Investigators, relevant activities and expertise that had already been funded by NASA was identified at ARC, CRREL (Army Cold Regions Research & Engineering Laboratory), GSFC, JPL, & USGS. LMMP is a cost capped, design-to-cost project (Project budget was established prior to obtaining Constellation needs)

  4. The Knowledge Supply Model: A Framework for Developing Education and Training in the New Economy.

    ERIC Educational Resources Information Center

    Burton-Jones, Alan

    2001-01-01

    The knowledge supply model depicts the dynamics of change and patterns of knowledge supply and demand in economic sectors. Its elements are knowledge characteristics, organizational specificity of knowlwege, value of knowledge, and level of suppliers' knowledge. Learning organizations can use the model to tailor products and servers to knowledge…

  5. Linking knowledge and action through mental models of sustainable agriculture

    PubMed Central

    Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

    2014-01-01

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

  6. Understanding Genomic Knowledge in Rural Appalachia: The West Virginia Genome Community Project

    PubMed Central

    Mallow, Jennifer A.; Theeke, Laurie A.; Crawford, Patricia; Prendergast, Elizabeth; Conner, Chuck; Richards, Tony; McKown, Barbara; Bush, Donna; Reed, Donald; Stabler, Meagan E.; Zhang, Jianjun; Dino, Geri; Barr, Taura L.

    2016-01-01

    Purpose Rural communities have limited knowledge about genetics and genomics and are also underrepresented in genomic education initiatives. The purpose of this project was to assess genomic and epigenetic knowledge and beliefs in rural West Virginia. Sample A total of 93 participants from three communities participated in focus groups and 68 participants completed a demographic survey. The age of the respondents ranged from 21 to 81 years. Most respondents had a household income of less than $40,000, were female and most were married, completed at least a HS/GED or some college education working either part-time or full-time. Method A Community Based Participatory Research process with focus groups and demographic questionnaires was used. Findings Most participants had a basic understanding of genetics and epigenetics, but not genomics. Participants reported not knowing much of their family history and that their elders did not discuss such information. If the conversations occurred, it was only during times of crisis or an illness event. Mental health and substance abuse are topics that are not discussed with family in this rural population. Conclusions Most of the efforts surrounding genetic/genomic understanding have focused on urban populations. This project is the first of its kind in West Virginia and has begun to lay the much needed infrastructure for developing educational initiatives and extending genomic research projects into our rural Appalachian communities. By empowering the public with education, regarding the influential role genetics, genomics, and epigenetics have on their health, we can begin to tackle the complex task of initiating behavior changes that will promote the health and well-being of individuals, families and communities. PMID:27212895

  7. The Pliocene Model Intercomparison Project - Phase 2

    NASA Astrophysics Data System (ADS)

    Haywood, Alan; Dowsett, Harry; Dolan, Aisling; Rowley, David; Abe-Ouchi, Ayako; Otto-Bliesner, Bette; Chandler, Mark; Lunt, Daniel; Salzmann, Ulrich

    2015-04-01

    The Pliocene Model Intercomparison Project (PlioMIP) is a coordinated international climate modelling initiative designed to understand climate and environments of the Late Pliocene, and their potential relevance in the context of future climate change. PlioMIP operates under the umbrella of the Palaeoclimate Modelling Intercomparison Project (PMIP), which examines multiple intervals in Earth history, the consistency of model predictions in simulating these intervals and their ability to reproduce climate signals preserved in geological climate archives. PlioMIP was initiated in 2008 and is closely aligned with the U.S. Geological Survey project known as PRISM (Pliocene Research Interpretation and Synoptic Mapping). PRISM has spent more than 25 years reconstructing and understanding mid-Pliocene climate (~3.3 to 3 million years ago), as well producing boundary condition data sets suitable for use with numerical climate models. The first phase of the PlioMIP (PlioMIP1: 2008-2014) resulted in the most complete analysis to date of the Pliocene climate. This included examination of large-scale features of global climate, detailed analyses of Pliocene ocean circulation and monsoon behaviour, and the ability of models to reproduce regional climate patterns reconstructed from both marine and terrestrial archives. The lessons learned from PlioMIP1 facilitated a revision of data and modelling approaches towards the understanding of the mid Pliocene. PlioMIP2 has now been launched, and includes significant improvements to many of the Pliocene palaeogeograhic boundary conditions used for driving climate models (new land/sea mask, topography, bathymetry and ice sheet reconstructions). Within Phase 2 modelling groups have the option of using dynamic global vegetation models to predict (rather than prescribe) land cover, and a broader portfolio of model experiments has been proposed to support efforts to better understand the Pliocene, as well as to use the Pliocene as a means

  8. Upper Secondary Teachers' Knowledge for Teaching Chemical Bonding Models

    NASA Astrophysics Data System (ADS)

    Bergqvist, Anna; Drechsler, Michal; Rundgren, Shu-Nu Chang

    2016-01-01

    Researchers have shown a growing interest in science teachers' professional knowledge in recent decades. The article focuses on how chemistry teachers impart chemical bonding, one of the most important topics covered in upper secondary school chemistry courses. Chemical bonding is primarily taught using models, which are key for understanding science. However, many studies have determined that the use of models in science education can contribute to students' difficulties understanding the topic, and that students generally find chemical bonding a challenging topic. The aim of this study is to investigate teachers' knowledge of teaching chemical bonding. The study focuses on three essential components of pedagogical content knowledge (PCK): (1) the students' understanding, (2) representations, and (3) instructional strategies. We analyzed lesson plans about chemical bonding generated by 10 chemistry teachers with whom we also conducted semi-structured interviews about their teaching. Our results revealed that the teachers were generally unaware of how the representations of models they used affected student comprehension. The teachers had trouble specifying students' difficulties in understanding. Moreover, most of the instructional strategies described were generic and insufficient for promoting student understanding. Additionally, the teachers' rationale for choosing a specific representation or activity was seldom directed at addressing students' understanding. Our results indicate that both PCK components require improvement, and suggest that the two components should be connected. Implications for the professional development of pre-service and in-service teachers are discussed.

  9. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 5: Aerospace librarians and technical information specialists as information intermediaries: A report of phase 2 activities of the NASA/DOD Aerospace Knowledge Diffusion Research Project

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.

    1990-01-01

    The flow of U.S. government-funded and foreign scientific and technical information (STI) through libraries and related facilities to users in government and industry is examined, summarizing preliminary results of Phase 2 of the NASA/DOD Aerospace Knowledge Diffusion Research Project (NAKDRP). The design and objectives of NAKDRP are reviewed; the NAKDRP model of STI transfer among producers, STI intermediaries, surrogates (technical report repositories or clearinghouses), and users is explained and illustrated with diagrams; and particular attention is given to the organization and operation of aerospace libraries. In a survey of North American libraries it was found that 25-30 percent of libraries regularly receive technical reports from ESA and the UK; the corresponding figures for Germany and for France, Sweden, and Japan are 18 and 5 percent, respectively. Also included is a series of bar graphs showing the librarians' assessments of the quality and use of NASA Technical Reports.

  10. Effects of a Multimedia Project on Users' Knowledge about Normal Forgetting and Serious Memory Loss

    PubMed Central

    Mahoney, Diane Feeney; Tarlow, Barbara J.; Jones, Richard N.; Sandaire, Johnny

    2002-01-01

    Objective: The aim of the project was to develop and evaluate the effectiveness of a CD-ROM–based multimedia program as a tool to increase user's knowledge about the differences between “normal” forgetfulness and more serious memory loss associated with Alzheimer's disease. Design and Measurements: The research was a controlled randomized study conducted with 113 adults who were recruited from the community and who expressed a concern about memory loss in a family member. The intervention group (n=56) viewed a module entitled “Forgetfulness: What's Normal and What's Not” on a laptop computer in their homes; the control group (n=57) did not. Both groups completed a 25-item knowledge-about-memory-loss test (primary outcome) and a sociodemographic and technology usage questionnaire; the intervention group also completed a CD-ROM user's evaluation. Results: The mean (SD) number of correct responses to the knowledge test was 14.2 (4.5) for controls and 19.7 (3.1) for intervention participants. This highly significant difference (p<0.001) corresponds to a very large effect size. The program was most effective for participants with a lower level of self-reported prior knowledge about memory loss and Alzheimer's disease (p=0.02). Viewers were very satisfied with the program and felt that it was easy to use and understand. They particularly valued having personal access to a confidential source that permitted them to become informed about memory loss without public disclosure. Conclusion: This multimedia CD-ROM technology program provides an efficient and effective means of teaching older adults about memory loss and ways to distinguish benign from serious memory loss. It uniquely balances public community outreach education and personal privacy. PMID:12087119

  11. Temporal and contextual knowledge in model-based expert systems

    NASA Technical Reports Server (NTRS)

    Toth-Fejel, Tihamer; Heher, Dennis

    1987-01-01

    A basic paradigm that allows representation of physical systems with a focus on context and time is presented. Paragon provides the capability to quickly capture an expert's knowledge in a cognitively resonant manner. From that description, Paragon creates a simulation model in LISP, which when executed, verifies that the domain expert did not make any mistakes. The Achille's heel of rule-based systems has been the lack of a systematic methodology for testing, and Paragon's developers are certain that the model-based approach overcomes that problem. The reason this testing is now possible is that software, which is very difficult to test, has in essence been transformed into hardware.

  12. A CSCW data mining model for spatial knowledge production

    NASA Astrophysics Data System (ADS)

    Yu, Liang; Tian, Yangge; Bian, Fuling

    2007-11-01

    This paper proposes a cooperative knowledge production model CSDM (Cooperative Spatial Data Mining), which is suitable for distributed GIS environment. It aims at two shortages of existing system, the large computational work, and the dispersive resources in a distributed system. It's based on data-sharing, process synchronization and parallel datamining method. Although there are many parallel algorithms for data-mining, we choose the GA (Genetic Algorithm) for illustration. The prototype system shows the model could work effectively in a path selection problem.

  13. Knowledge representation and qualitative simulation of salmon redd functioning. Part I: qualitative modeling and simulation.

    PubMed

    Guerrin, F; Dumas, J

    2001-02-01

    This work aims at representing empirical knowledge of freshwater ecologists on the functioning of salmon redds (spawning areas of salmon) and its impact on mortality of early stages. For this, we use Qsim, a qualitative simulator. In this first part, we provide unfamiliar readers with the underlying qualitative differential equation (QDE) ontology of Qsim: representing quantities, qualitative variables, qualitative constraints, QDE structure. Based on a very simple example taken of the salmon redd application, we show how informal biological knowledge may be represented and simulated using an approach that was first intended to analyze qualitatively ordinary differential equations systems. A companion paper (Part II) gives the full description and simulation of the salmon redd qualitative model. This work was part of a project aimed at assessing the impact of the environment on salmon populations dynamics by the use of models of processes acting at different levels: catchment, river, and redds. Only the latter level is dealt with in this paper.

  14. The Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Nall, M.; French, R.; Noble, S.; Muery, K.

    2010-01-01

    The Lunar Mapping and Modeling Project (LMMP) is managing a suite of lunar mapping and modeling tools and data products that support lunar exploration activities, including the planning, de-sign, development, test, and operations associated with crewed and/or robotic operations on the lunar surface. Although the project was initiated primarily to serve the needs of the Constellation program, it is equally suited for supporting landing site selection and planning for a variety of robotic missions, including NASA science and/or human precursor missions and commercial missions such as those planned by the Google Lunar X-Prize participants. In addition, LMMP should prove to be a convenient and useful tool for scientific analysis and for education and public out-reach (E/PO) activities.

  15. An interactive flow model for projecting school enrolments

    NASA Astrophysics Data System (ADS)

    Gould, Edward

    1993-07-01

    Successful planning in educational administration is highly dependent on accurate student numbers. An interactive enrolment projection model is described which begins with pre-school age children to project the expected number of first grade entrants. These cohorts are then progressed through the school system. The model described can be implemented on a microcomputer and uses an interactive technique which enables human intervention in order to take full account of local knowledge in predicting the numbers in each year group. Control is maintained by allowing groups of schools to be amalgamated and then by applying to these larger groups the same techniques used to obtain the initial individual school enrolments. Adjustments to individual school enrolments are then possible following the reconciliation of larger group figures with known demographic statistics. This counteracts the effects of student mobility across wider areas and overcomes many of the problems associated with simple aggregation of individual school projections. The model provides a valuable planning tool when enrolment figures are needed for decision making.

  16. Scientist-Centered Graph-Based Models of Scientific Knowledge

    SciTech Connect

    Chin, George; Stephan, Eric G.; Gracio, Deborah K.; Kuchar, Olga A.; Whitney, Paul D.; Schuchardt, Karen L.

    2005-07-01

    At the Pacific Northwest National Laboratory, we are researching and developing visual models and paradigms that will allow scientists to capture and represent conceptual models in a computational form that may linked to and integrated with scientific data sets and applications. Captured conceptual models may be logical in conveying how individual concepts tie together to form a higher theory, analytical in conveying intermediate or final analysis results, or temporal in describing the experimental process in which concepts are physically and computationally explored. In this paper, we describe and contrast three different research and development systems that allow scientists to capture and interact with computational graph-based models of scientific knowledge. Through these examples, we explore and examine ways in which researchers may graphically encode and apply scientific theory and practice on computer systems.

  17. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 66: Emerging Trends in the Globalization of Knowledge: The Role of the Technical Report in Aerospace Research and Development

    NASA Technical Reports Server (NTRS)

    Pinelli,Thomas E.; Golich, Vicki L.

    1997-01-01

    Economists, management theorists, business strategists, and governments alike recognize knowledge as the single most important resource in today's global economy. Because of its relationship to technological progress and economic growth, many governments have taken a keen interest in knowledge; specifically its production, transfer, and use. This paper focuses on the technical report as a product for disseminating the results of aerospace research and development (R&D) and its use and importance to aerospace engineers and scientists. The emergence of knowledge as an intellectual asset, its relationship to innovation, and its importance in a global economy provides the context for the paper. The relationships between government and knowledge and government and innovation are used to place knowledge within the context of publicly-funded R&D. Data, including the reader preferences of NASA technical reports, are derived from the NASA/DoD Aerospace Knowledge Diffusion Research Project, a ten-year study of knowledge diffusion in the U.S. aerospace industry.

  18. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 19: Computer and information technology and aerospace knowledge diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.; Bishop, Ann P.

    1992-01-01

    To remain a world leader in aerospace, the US must improve and maintain the professional competency of its engineers and scientists, increase the research and development (R&D) knowledge base, improve productivity, and maximize the integration of recent technological developments into the R&D process. How well these objectives are met, and at what cost, depends on a variety of factors, but largely on the ability of US aerospace engineers and scientists to acquire and process the results of federally funded R&D. The Federal Government's commitment to high speed computing and networking systems presupposes that computer and information technology will play a major role in the aerospace knowledge diffusion process. However, we know little about information technology needs, uses, and problems within the aerospace knowledge diffusion process. The use of computer and information technology by US aerospace engineers and scientists in academia, government, and industry is reported.

  19. Development of a Prototype Model-Form Uncertainty Knowledge Base

    NASA Technical Reports Server (NTRS)

    Green, Lawrence L.

    2016-01-01

    Uncertainties are generally classified as either aleatory or epistemic. Aleatory uncertainties are those attributed to random variation, either naturally or through manufacturing processes. Epistemic uncertainties are generally attributed to a lack of knowledge. One type of epistemic uncertainty is called model-form uncertainty. The term model-form means that among the choices to be made during a design process within an analysis, there are different forms of the analysis process, which each give different results for the same configuration at the same flight conditions. Examples of model-form uncertainties include the grid density, grid type, and solver type used within a computational fluid dynamics code, or the choice of the number and type of model elements within a structures analysis. The objectives of this work are to identify and quantify a representative set of model-form uncertainties and to make this information available to designers through an interactive knowledge base (KB). The KB can then be used during probabilistic design sessions, so as to enable the possible reduction of uncertainties in the design process through resource investment. An extensive literature search has been conducted to identify and quantify typical model-form uncertainties present within aerospace design. An initial attempt has been made to assemble the results of this literature search into a searchable KB, usable in real time during probabilistic design sessions. A concept of operations and the basic structure of a model-form uncertainty KB are described. Key operations within the KB are illustrated. Current limitations in the KB, and possible workarounds are explained.

  20. The Pliocene Model Intercomparison Project - Phase 2

    NASA Astrophysics Data System (ADS)

    Haywood, Alan; Dowsett, Harry; Dolan, Aisling; Rowley, David; Abe-Ouchi, Ayako; Otto-Bliesner, Bette; Chandler, Mark; Hunter, Stephen; Lunt, Daniel; Pound, Matthew; Salzmann, Ulrich

    2016-04-01

    The Pliocene Model Intercomparison Project (PlioMIP) is a co-ordinated international climate modelling initiative to study and understand climate and environments of the Late Pliocene, and their potential relevance in the context of future climate change. PlioMIP examines the consistency of model predictions in simulating Pliocene climate, and their ability to reproduce climate signals preserved by geological climate archives. Here we provide a description of the aim and objectives of the next phase of the model intercomparison project (PlioMIP Phase 2), and we present the experimental design and boundary conditions that will be utilised for climate model experiments in Phase 2. Following on from PlioMIP Phase 1, Phase 2 will continue to be a mechanism for sampling structural uncertainty within climate models. However, Phase 1 demonstrated the requirement to better understand boundary condition uncertainties as well as uncertainty in the methodologies used for data-model comparison. Therefore, our strategy for Phase 2 is to utilise state-of-the-art boundary conditions that have emerged over the last 5 years. These include a new palaeogeographic reconstruction, detailing ocean bathymetry and land/ice surface topography. The ice surface topography is built upon the lessons learned from offline ice sheet modelling studies. Land surface cover has been enhanced by recent additions of Pliocene soils and lakes. Atmospheric reconstructions of palaeo-CO2 are emerging on orbital timescales and these are also incorporated into PlioMIP Phase 2. New records of surface and sea surface temperature change are being produced that will be more temporally consistent with the boundary conditions and forcings used within models. Finally we have designed a suite of prioritized experiments that tackle issues surrounding the basic understanding of the Pliocene and its relevance in the context of future climate change in a discrete way.

  1. Model based systems engineering for astronomical projects

    NASA Astrophysics Data System (ADS)

    Karban, R.; Andolfato, L.; Bristow, P.; Chiozzi, G.; Esselborn, M.; Schilling, M.; Schmid, C.; Sommer, H.; Zamparelli, M.

    2014-08-01

    Model Based Systems Engineering (MBSE) is an emerging field of systems engineering for which the System Modeling Language (SysML) is a key enabler for descriptive, prescriptive and predictive models. This paper surveys some of the capabilities, expectations and peculiarities of tools-assisted MBSE experienced in real-life astronomical projects. The examples range in depth and scope across a wide spectrum of applications (for example documentation, requirements, analysis, trade studies) and purposes (addressing a particular development need, or accompanying a project throughout many - if not all - its lifecycle phases, fostering reuse and minimizing ambiguity). From the beginnings of the Active Phasing Experiment, through VLT instrumentation, VLTI infrastructure, Telescope Control System for the E-ELT, until Wavefront Control for the E-ELT, we show how stepwise refinements of tools, processes and methods have provided tangible benefits to customary system engineering activities like requirement flow-down, design trade studies, interfaces definition, and validation, by means of a variety of approaches (like Model Checking, Simulation, Model Transformation) and methodologies (like OOSEM, State Analysis)

  2. Semantic Document Model to Enhance Data and Knowledge Interoperability

    NASA Astrophysics Data System (ADS)

    Nešić, Saša

    To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a form understandable to both humans and machines. At the same time, these are the requirements that desktop documents need to satisfy in order to contribute to the visions of the Semantic Web. With the aim of achieving this goal, we have developed the Semantic Document Model (SDM), which turns desktop documents into Semantic Documents as uniquely identified and semantically annotated composite resources, that can be instantiated into human-readable (HR) and machine-processable (MP) forms. In this paper, we present the SDM along with an RDF and ontology-based solution for the MP document instance. Moreover, on top of the proposed model, we have built the Semantic Document Management System (SDMS), which provides a set of services that exploit the model. As an application example that takes advantage of SDMS services, we have extended MS Office with a set of tools that enables users to transform MS Office documents (e.g., MS Word and MS PowerPoint) into Semantic Documents, and to search local and distant semantic document repositories for document content units (CUs) over Semantic Web protocols.

  3. The Chancellor's Model School Project (CMSP)

    NASA Technical Reports Server (NTRS)

    Lopez, Gil

    1999-01-01

    What does it take to create and implement a 7th to 8th grade middle school program where the great majority of students achieve at high academic levels regardless of their previous elementary school backgrounds? This was the major question that guided the research and development of a 7-year long project effort entitled the Chancellor's Model School Project (CMSP) from September 1991 to August 1998. The CMSP effort conducted largely in two New York City public schools was aimed at creating and testing a prototype 7th and 8th grade model program that was organized and test-implemented in two distinct project phases: Phase I of the CMSP effort was conducted from 1991 to 1995 as a 7th to 8th grade extension of an existing K-6 elementary school, and Phase II was conducted from 1995 to 1998 as a 7th to 8th grade middle school program that became an integral part of a newly established 7-12th grade high school. In Phase I, the CMSP demonstrated that with a highly structured curriculum coupled with strong academic support and increased learning time, students participating in the CMSP were able to develop a strong foundation for rigorous high school coursework within the space of 2 years (at the 7th and 8th grades). Mathematics and Reading test score data during Phase I of the project, clearly indicated that significant academic gains were obtained by almost all students -- at both the high and low ends of the spectrum -- regardless of their previous academic performance in the K-6 elementary school experience. The CMSP effort expanded in Phase II to include a fully operating 7-12 high school model. Achievement gains at the 7th and 8th grade levels in Phase II were tempered by the fact that incoming 7th grade students' academic background at the CMSP High School was significantly lower than students participating in Phase 1. Student performance in Phase II was also affected by the broadening of the CMSP effort from a 7-8th grade program to a fully functioning 7-12 high

  4. Accidental knowledge: Using accidents and other project failures to inform research in systems engineering

    NASA Astrophysics Data System (ADS)

    Sorenson, Diane C.

    Projects experience cost overruns, late deliveries, quality issues, cancellation, and accidents despite the best efforts of the systems engineering community. There is relatively little research on why systems engineering failures in general happen, but a substantial body of work on accident causation. Here, we investigate whether systems failures in general exhibit the same patterns of causation as accidents. We conducted a review of existing accident models to develop a model that could be applied to all types of project failures. Our model helped us to classify where the factors occur during the system development/system operation phases and which entity was involved in each factor. We analyzed 58 failure case studies. The failure cases span non-accidents, accidents, and dual failures. The sources for each subset had varying depth and scope of investigation. We developed a coding method to compare the factors between failure cases that broke each factor down into an "actor-action-object" structure. We further generalized the actions from the "actor-action-object" strings into control flaws so that we could analyze the failure cases at a high level. We analyzed the control flaws, actions, and actors for each failure case and compared the results for accidents and non-accidents. Of our results that we could not attribute to study biases, we found similarities and differences between project failure causation. We also identified which control flaws, actions, and actors were the most prevalent in the different types of project failures. Of all the actions, "failure to consider factor in system development" contributed most to non-accidents, while "failure to consider step in risk management" contributed the most to accidents. Of all the actors, "company management" contributed the most to non-accidents and accidents.

  5. Knowledge-based modelling of historical surfaces using lidar data

    NASA Astrophysics Data System (ADS)

    Höfler, Veit; Wessollek, Christine; Karrasch, Pierre

    2016-10-01

    Currently in archaeological studies digital elevation models are mainly used especially in terms of shaded reliefs for the prospection of archaeological sites. Hesse (2010) provides a supporting software tool for the determination of local relief models during the prospection using LiDAR scans. Furthermore the search for relicts from WW2 is also in the focus of his research. In James et al. (2006) the determined contour lines were used to reconstruct locations of archaeological artefacts such as buildings. This study is much more and presents an innovative workflow of determining historical high resolution terrain surfaces using recent high resolution terrain models and sedimentological expert knowledge. Based on archaeological field studies (Franconian Saale near Bad Neustadt in Germany) the sedimentological analyses shows that archaeological interesting horizon and geomorphological expert knowledge in combination with particle size analyses (Koehn, DIN ISO 11277) are useful components for reconstructing surfaces of the early Middle Ages. Furthermore the paper traces how it is possible to use additional information (extracted from a recent digital terrain model) to support the process of determination historical surfaces. Conceptual this research is based on methodology of geomorphometry and geo-statistics. The basic idea is that the working procedure is based on the different input data. One aims at tracking the quantitative data and the other aims at processing the qualitative data. Thus, the first quantitative data were available for further processing, which were later processed with the qualitative data to convert them to historical heights. In the final stage of the workflow all gathered information are stored in a large data matrix for spatial interpolation using the geostatistical method of Kriging. Besides the historical surface, the algorithm also provides a first estimation of accuracy of the modelling. The presented workflow is characterized by a high

  6. Information sources and knowledge on vaccination in a population from southern Italy: The ESCULAPIO project.

    PubMed

    Tabacchi, Garden; Costantino, Claudio; Cracchiolo, Manuela; Ferro, Antonio; Marchese, Valentina; Napoli, Giuseppe; Palmeri, Sara; Raia, Daniele; Restivo, Vincenzo; Siddu, Andrea; Vitale, Francesco; Casuccio, Alessandra

    2017-02-01

    Vaccine knowledge of the general population is shaped by different information sources and strongly influences vaccination attitudes and uptake. The CCM-Italian Ministry of Health ESCULAPIO project attempted to identify the role of such information sources, in order to address adequate strategies to improve information on vaccines and vaccine preventable diseases. In the present study, data on 632 adults from Southern Italy regarding information sources were collected, and their perceived and actual knowledge on vaccinations were compared and analyzed in relation to socio-demographic characteristics and information sources. The main reported reference sources were general practitioners (GPs) (42.5%) and pediatricians (33.1%), followed by mass media (24.1%) and the Internet (17.6%). A total of 45.4% reported they believed to be informed (45.4%), while those estimated to be truly informed were 43.8%. However, as showed in the multivariate logistic regression, people having the perception to be correctly informed ascribed their good knowledge to their profession in the health sector (Adj OR 2.28, CI 1.09-4.77, p < 0.05) and to friends/relatives/colleagues (AdjOR 6.25, CI 2.38-16.44, p < 0.001), while the non-informed population thought the responsibility had to be attributed to mass media (AdjOR 0.45, CI 0.22-0.92, p < 0.05). Those showing the real correct information, instead, were younger (AdjOR 1.64, CI 1.04-2.59, p < 0.05), and their main reference sources were pediatricians (AdjOR 1.63, CI 1.11-2.39, p < 0.05) and scientific magazines (Adj OR 3.39, CI 1.51-7.59, p < 0.01). Only 6% knew the "VaccinarSì" portal, developed to counter the widespred antivaccine websites in Italy. The post-survey significant increase of connections to "VaccinarSi" could be ascribed to the counselling performed during questionnaire administration. Strategies to improve information about vaccination should be addressed to fortifying healthcare workers knowledge in order to make them

  7. Epistemological Beliefs and Knowledge Sharing in Work Teams: A New Model and Research Questions

    ERIC Educational Resources Information Center

    Weinberg, Frankie J.

    2015-01-01

    Purpose: The purpose of this paper is to present a knowledge-sharing model that explains individual members' motivation to share knowledge (knowledge donation and knowledge collection). Design/methodology/approach: The model is based on social-constructivist theories of epistemological beliefs, learning and distributed cognition, and is organized…

  8. GCSS Idealized Cirrus Model Comparison Project

    NASA Technical Reports Server (NTRS)

    Starr, David OC.; Benedetti, Angela; Boehm, Matt; Brown, Philip R. A.; Gierens, Klaus; Girard, Eric; Giraud, Vincent; Jakob, Christian; Jensen, Eric; Khvorostyanov, Vitaly; Einaudi, Franco (Technical Monitor)

    2000-01-01

    The GCSS Working Group on Cirrus Cloud Systems (WG2) is conducting a systematic comparison and evaluation of cirrus cloud models. This fundamental activity seeks to support the improvement of models used for climate simulation and numerical weather prediction through assessment and improvement of the "process" models underlying parametric treatments of cirrus cloud processes in large-scale models. The WG2 Idealized Cirrus Model Comparison Project is an initial comparison of cirrus cloud simulations by a variety of cloud models for a series of idealized situations with relatively simple initial conditions and forcing. The models (16) represent the state-of-the-art and include 3-dimensional large eddy simulation (LES) models, two-dimensional cloud resolving models (CRMs), and single column model (SCM) versions of GCMs. The model microphysical components are similarly varied, ranging from single-moment bulk (relative humidity) schemes to fully size-resolved (bin) treatments where ice crystal growth is explicitly calculated. Radiative processes are included in the physics package of each model. The baseline simulations include "warm" and "cold" cirrus cases where cloud top initially occurs at about -47C and -66C, respectively. All simulations are for nighttime conditions (no solar radiation) where the cloud is generated in an ice supersaturated layer, about 1 km in depth, with an ice pseudoadiabatic thermal stratification (neutral). Continuing cloud formation is forced via an imposed diabatic cooling representing a 3 cm/s uplift over a 4-hour time span followed by a 2-hour dissipation stage with no cooling. Variations of these baseline cases include no-radiation and stable-thermal-stratification cases. Preliminary results indicated the great importance of ice crystal fallout in determining even the gross cloud characteristics, such as average vertically-integrated ice water path (IWP). Significant inter-model differences were found. Ice water fall speed is directly

  9. Project trades model for complex space missions

    NASA Technical Reports Server (NTRS)

    Girerd, Andre R.; Shishko, Roberto

    2003-01-01

    A Project Trades Model (PTM) is a collection of tools/simulations linked together to rapidly perform integrated system trade studies of performance, cost, risk, and mission effectiveness. An operating PTM captures the interactions between various targeted systems and subsystems through an exchange of computed variables of the constituent models. Selection and implementation of the order, method of interaction, model type, and envisioned operation of the ensemble of tools rpresents the key system engineering challenge of the approach. This paper describes an approach to building a PTM and using it to perform top-level system trades for a complex space mission. In particular, the PTM discussed here is for a future Mars mission involving a large rover.

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

    ERIC Educational Resources Information Center

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

    2015-01-01

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

  11. Designing m-learning for junior registrars--activation of a theoretical model of clinical knowledge.

    PubMed

    Kanstrup, Anne Marie; Boye, Niels; Nøhr, Christian

    2007-01-01

    The MINI-project aims at supporting junior registrars in the learning process of how to utilize their theoretical knowledge from Medical School in everyday clinical reasoning and practice. Due to the nature of the work--concurrent moving, learning and producing--we designed an m-learning application. This paper introduces the possibilities and challenges for design of the m-learning application based on a) analytical findings on learning and mobility as derived from the design case--an emergency medical ward b) theoretical perspectives on medical knowledge, and c) presentation of the design of an m-learning application. The design process was based on user-driven innovation and the paper discusses considerations on how to combine user-drive and generic models.

  12. Building information models for astronomy projects

    NASA Astrophysics Data System (ADS)

    Ariño, Javier; Murga, Gaizka; Campo, Ramón; Eletxigerra, Iñigo; Ampuero, Pedro

    2012-09-01

    A Building Information Model is a digital representation of physical and functional characteristics of a building. BIMs represent the geometrical characteristics of the Building, but also properties like bills of quantities, definition of COTS components, status of material in the different stages of the project, project economic data, etc. The BIM methodology, which is well established in the Architecture Engineering and Construction (AEC) domain for conventional buildings, has been brought one step forward in its application for Astronomical/Scientific facilities. In these facilities steel/concrete structures have high dynamic and seismic requirements, M&E installations are complex and there is a large amount of special equipment and mechanisms involved as a fundamental part of the facility. The detail design definition is typically implemented by different design teams in specialized design software packages. In order to allow the coordinated work of different engineering teams, the overall model, and its associated engineering database, is progressively integrated using a coordination and roaming software which can be used before starting construction phase for checking interferences, planning the construction sequence, studying maintenance operation, reporting to the project office, etc. This integrated design & construction approach will allow to efficiently plan construction sequence (4D). This is a powerful tool to study and analyze in detail alternative construction sequences and ideally coordinate the work of different construction teams. In addition engineering, construction and operational database can be linked to the virtual model (6D), what gives to the end users a invaluable tool for the lifecycle management, as all the facility information can be easily accessed, added or replaced. This paper presents the BIM methodology as implemented by IDOM with the E-ELT and ATST Enclosures as application examples.

  13. Modelling Vague Knowledge for Decision Support in Planning Archaeological Prospections

    NASA Astrophysics Data System (ADS)

    Boos, S.; Hornung, S.; Müller, H.

    2012-07-01

    Most archaeological predictive models lack significance because fuzziness of data and uncertainty in knowledge about human behaviour and natural processes are hardly ever considered. One possibility to cope with such uncertainties is utilization of probability based approaches like Bayes Theorem or Dempster-Shafer-Theory. We analyzed an area of 50 km2 in Rhineland Palatinate (Germany) near a Celtic oppidum by use of Dempster-Shafer's theory of evidence for predicting spatial probability distribution of archaeological sites. This technique incorporates uncertainty by assigning various weights of evidence to defined variables, in that way estimating the probability for supporting a specific hypothesis (in our case the hypothesis presence or absence of a site). Selection of variables for our model relied both on assumptions about settlement patterns and on statistically tested relationships between known archaeological sites and environmental factors. The modelling process was conducted in a Geographic Information System (GIS) by generating raster-based likelihood surfaces. The corresponding likelihood surfaces were aggregated to a final weight of evidence surface, which resulted in a likelihood value for every single cell of being a site or a non-site. Finally the result was tested against a database of known archaeological sites for evaluating the gain of the model. For the purpose of enhancing the gain of our model and sharpening our criteria we used a two-step approach to improve the modelling of former settlement strategies in our study area. Applying the developed model finally yielded a 100 percent success rate of known archaeological sites located in predicted high potential areas.

  14. The Lunar Mapping and Modeling Project

    NASA Technical Reports Server (NTRS)

    Noble, Sarah K.; French, R. A.; Nall, M. E.; Muery, K. G.

    2009-01-01

    The Lunar Mapping and Modeling Project (LMMP) has been created to manage the development of a suite of lunar mapping and modeling products that support the Constellation Program (CxP) and other lunar exploration activities, including the planning, design, development, test and operations associated with lunar sortie missions, crewed and robotic operations on the surface, and the establishment of a lunar outpost. The information provided through LMMP will assist CxP in: planning tasks in the areas of landing site evaluation and selection, design and placement of landers and other stationary assets, design of rovers and other mobile assets, developing terrain-relative navigation (TRN) capabilities, and assessment and planning of science traverses.

  15. The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): project framework.

    PubMed

    Warszawski, Lila; Frieler, Katja; Huber, Veronika; Piontek, Franziska; Serdeczny, Olivia; Schewe, Jacob

    2014-03-04

    The Inter-Sectoral Impact Model Intercomparison Project offers a framework to compare climate impact projections in different sectors and at different scales. Consistent climate and socio-economic input data provide the basis for a cross-sectoral integration of impact projections. The project is designed to enable quantitative synthesis of climate change impacts at different levels of global warming. This report briefly outlines the objectives and framework of the first, fast-tracked phase of Inter-Sectoral Impact Model Intercomparison Project, based on global impact models, and provides an overview of the participating models, input data, and scenario set-up.

  16. World Energy Projection System Plus Model Documentation: Commercial Model

    EIA Publications

    2016-01-01

    The Commercial Model of the World Energy Projection System Plus (WEPS ) is an energy demand modeling system of the world commercial end?use sector at a regional level. This report describes the version of the Commercial Model that was used to produce the commercial sector projections published in the International Energy Outlook 2016 (IEO2016). The Commercial Model is one of 13 components of the WEPS system. The WEPS is a modular system, consisting of a number of separate energy models that are communicate and work with each other through an integrated system model. The model components are each developed independently, but are designed with well?defined protocols for system communication and interactivity. The WEPS modeling system uses a shared database (the “restart” file) that allows all the models to communicate with each other when they are run in sequence over a number of iterations. The overall WEPS system uses an iterative solution technique that forces convergence of consumption and supply pressures to solve for an equilibrium price.

  17. A Theory of Software Project Management and PROMOL: A Project Management Modeling Language

    DTIC Science & Technology

    2008-03-01

    drivers that lead to functional and dysfunctional project behavior. We identify a set of criteria for assessing current and future modeling tools...project management theory that helps us to understand the conditions and drivers that lead to functional and dysfunctional project behavior. We identify...Turner explained the domain, the nature of project management, its governance and the functions of project management [27,28,29]. One year later

  18. A faculty trainer model: increasing knowledge and changing practice to improve perinatal HIV prevention and care.

    PubMed

    Burr, Carolyn K; Storm, Deborah S; Gross, Elaine

    2006-03-01

    Although routine counseling and HIV testing of pregnant women is recommended, it is not yet universally offered. This paper reports on a project that trained health care providers from 2000 to 2002 using a faculty trainer (or train-the-trainer) model. The goals of the projects were to increase knowledge and change practice, increase HIV counseling and testing in prenatal care, and improve management of HIV in pregnant women. In four jurisdictions of the southeastern United States, 193 health care providers attended faculty trainer workshops using a standardized curriculum. Eighteen providers used the curriculum to train an additional 545 health care providers over 2 years. Participants in both faculty trainer workshops and trainerled seminars reported significant increases in perceived knowledge in all content areas and the intention to change clinical practice. The number of providers who became faculty trainers and then led seminars varied widely among the jurisdictions. Six-month follow-up of faculty trainers, although limited by a 63% response rate, found that over 90% of respondents reported the workshop had a positive impact on their care of women with and at risk for HIV. Our findings indicate the faculty trainer model is an effective way to educate practicing clinicians. Key elements to successful implementation were: ongoing support of faculty trainers by acquired immune deficiency syndrome (AIDS) educators, involvement of local HIV experts as trainers and resource persons, and use of a standardized curriculum based on national guidelines.

  19. An Ontology-Based Conceptual Model For Accumulating And Reusing Knowledge In A DMAIC Process

    NASA Astrophysics Data System (ADS)

    Nguyen, ThanhDat; Kifor, Claudiu Vasile

    2015-09-01

    DMAIC (Define, Measure, Analyze, Improve, and Control) is an important process used to enhance quality of processes basing on knowledge. However, it is difficult to access DMAIC knowledge. Conventional approaches meet a problem arising from structuring and reusing DMAIC knowledge. The main reason is that DMAIC knowledge is not represented and organized systematically. In this article, we overcome the problem basing on a conceptual model that is a combination of DMAIC process, knowledge management, and Ontology engineering. The main idea of our model is to utilizing Ontologies to represent knowledge generated by each of DMAIC phases. We build five different knowledge bases for storing all knowledge of DMAIC phases with the support of necessary tools and appropriate techniques in Information Technology area. Consequently, these knowledge bases provide knowledge available to experts, managers, and web users during or after DMAIC execution in order to share and reuse existing knowledge.

  20. Enhanced Work Projects--The Supported Work Approach for Youth. Youth Work Experience. Youth Knowledge Development Report 7.3.

    ERIC Educational Resources Information Center

    Manpower Demonstration Research Corp., New York, NY.

    This volume is one of the products of the knowledge development effort implemented under the mandate of the Youth Employment and Demonstration Projects Act of 1977. The report focuses on the young school drop-out portion only of the supported work experiment, which also included offenders, ex-addicts, and welfare recipients. The goal of supported…

  1. A Project Focusing on Superintendents' Knowledge of Evidence-Based Practices of Structuring Time for Student Learning

    ERIC Educational Resources Information Center

    Husted, Jessica L.

    2016-01-01

    This report describes a problem based learning project focusing on superintendents' knowledge of evidence-based practices of structuring time for student learning. Current research findings offer evidence that structuring time for student learning is an important factor in student achievement. School district superintendents are challenged with…

  2. The Effect of Project-Based History and Nature of Science Practices on the Change of Nature of Scientific Knowledge

    ERIC Educational Resources Information Center

    Çibik, Ayse Sert

    2016-01-01

    The aim of this study is to compare the change of pre-service science teachers' views about the nature of scientific knowledge through Project-Based History and Nature of Science training and Conventional Method. The sample of the study consists of two groups of 3rd grade undergraduate students attending teacher preparation program of science…

  3. Towards a Knowledge Management Model for the Information Management Curricula.

    ERIC Educational Resources Information Center

    Dunn, Dennis; Hackney, Ray

    The growth of interest in all things knowledge management (KM) is exponential. Developments of products and ideas, fueled by a newly designated knowledge community, is happening at such speed that few seem to question the trends or the knowledge management systems finding favor in organizational life. A consideration of what is being presented as…

  4. The Lunar Mapping and Modeling Project Update

    NASA Technical Reports Server (NTRS)

    Noble, S.; French, R.; Nall, M.; Muery, K.

    2010-01-01

    The Lunar Mapping and Modeling Project (LMMP) is managing the development of a suite of lunar mapping and modeling tools and data products that support lunar exploration activities, including the planning, design, development, test, and operations associated with crewed and/or robotic operations on the lunar surface. In addition, LMMP should prove to be a convenient and useful tool for scientific analysis and for education and public outreach (E/PO) activities. LMMP will utilize data predominately from the Lunar Reconnaissance Orbiter, but also historical and international lunar mission data (e.g. Lunar Prospector, Clementine, Apollo, Lunar Orbiter, Kaguya, and Chandrayaan-1) as available and appropriate. LMMP will provide such products as image mosaics, DEMs, hazard assessment maps, temperature maps, lighting maps and models, gravity models, and resource maps. We are working closely with the LRO team to prevent duplication of efforts and ensure the highest quality data products. A beta version of the LMMP software was released for limited distribution in December 2009, with the public release of version 1 expected in the Fall of 2010.

  5. A3I visibility modeling project

    NASA Technical Reports Server (NTRS)

    Larimer, James; Arditi, Aries; Bergen, James; Badler, Norman

    1990-01-01

    The Army-NASA Aircrew Aircraft Integration program is supporting a joint project to build a visibility computer-aided design (CAD) tool. CAD has become an essential tool in modern engineering applications. CAD tools are used to create engineering drawings and to evaluate potential designs before they are physically realized. The visibility CAD tool will provide the design engineer with a tool to aid in the location and specification of windows, displays, and control in crewstations. In an aircraft cockpit the location of instruments and the emissive and reflective characteristics of the surfaces must be determined to assure adequate aircrew performance. The visibility CAD tool will allow the designer to ask and answer many of these questions in the context of a three-dimensional graphical representation of the cockpit. The graphic representation of the cockpit is a geometrically valid model of the cockpit design. A graphic model of a pilot, called the pilot manikin, can be placed naturalistically in the cockpit model. The visibility tool has the capability of mapping the cockpit surfaces and other objects modeled in this graphic design space onto the simulated pilot's retinas for a given visual fixation.

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 31: The technical communications practices of US aerospace engineers and scientists: Results of the phase 1 SME mail survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical communications practices of U.S. aerospace engineers and scientists affiliated with, not necessarily belonging to, the Society of Manufacturing Engineers (SME).

  7. [Experience of knowledge translation in the ITSAL (immigration, work and health) research project with representatives of the target population].

    PubMed

    Ronda, Elena; López-Jacob, M José; Paredes-Carbonell, Joan J; López, Pilar; Boix, Pere; García, Ana M

    2014-01-01

    This article describes the experience of knowledge translation between researchers of the ITSAL (immigration, work and health) project and representatives of organizations working with immigrants to discuss the results obtained in the project and future research lines. A meeting was held, attended by three researchers and 18 representatives from 11 institutions. Following a presentation of the methodology and results of the project, the participants discussed the results presented and research areas of interest, thus confirming matches between the two sides and obtaining proposals of interest for the ITSAL project. We understand the process described as an approach to social validation of some of the main results of this project. This experience has allowed us to open a channel of communication with the target population of the study, in line with the necessary two-way interaction between researchers and users.

  8. Pataha Creek Model Watershed : 1998 Habitat Conservation Projects.

    SciTech Connect

    Bartels, Duane G.

    1999-12-01

    The projects outlined in detail on the attached project reports are a few of the many projects implemented in the Pataha Creek Model Watershed since it was selected as a model in 1993. 1998 was a year where a focused effort was made to work on the upland conservation practices to reduce the sedimentation into Pataha Creek.

  9. Modelling in Evaluating a Working Life Project in Higher Education

    ERIC Educational Resources Information Center

    Sarja, Anneli; Janhonen, Sirpa; Havukainen, Pirjo; Vesterinen, Anne

    2012-01-01

    This article describes an evaluation method based on collaboration between the higher education, a care home and university, in a R&D project. The aim of the project was to elaborate modelling as a tool of developmental evaluation for innovation and competence in project cooperation. The approach was based on activity theory. Modelling enabled a…

  10. Knowledge Translation for Research Utilization: Design of a Knowledge Translation Model at Tehran University of Medical Sciences

    ERIC Educational Resources Information Center

    Majdzadeh, Reza; Sadighi, Jila; Nejat, Saharnaz; Mahani, Ali Shahidzade; Gholami, Jaleh

    2008-01-01

    Introduction: The present study aimed to generate a model that would provide a conceptual framework for linking disparate components of knowledge translation. A theoretical model of such would enable the organization and evaluation of attempts to analyze current conditions and to design interventions on the transfer and utilization of research…

  11. The biological knowledge discovery by PCCF measure and PCA-F projection.

    PubMed

    Jia, Xingang; Zhu, Guanqun; Han, Qiuhong; Lu, Zuhong

    2017-01-01

    In the process of biological knowledge discovery, PCA is commonly used to complement the clustering analysis, but PCA typically gives the poor visualizations for most gene expression data sets. Here, we propose a PCCF measure, and use PCA-F to display clusters of PCCF, where PCCF and PCA-F are modeled from the modified cumulative probabilities of genes. From the analysis of simulated and experimental data sets, we demonstrate that PCCF is more appropriate and reliable for analyzing gene expression data compared to other commonly used distances or similarity measures, and PCA-F is a good visualization technique for identifying clusters of PCCF, where we aim at such data sets that the expression values of genes are collected at different time points.

  12. The Digital Astronaut Project Bone Remodeling Model

    NASA Technical Reports Server (NTRS)

    Pennline, James A.; Mulugeta, Lealem; Lewandowski, Beth E.; Thompson, William K.; Sibonga, Jean D.

    2014-01-01

    Under the conditions of microgravity, astronauts lose bone mass at a rate of 1% to 2% a month, particularly in the lower extremities such as the proximal femur: (1) The most commonly used countermeasure against bone loss has been prescribed exercise, (2) However, current exercise countermeasures do not completely eliminate bone loss in long duration, 4 to 6 months, spaceflight, (3,4) leaving the astronaut susceptible to early onset osteoporosis and a greater risk of fracture later in their lives. The introduction of the Advanced Resistive Exercise Device, coupled with improved nutrition, has further minimized the 4 to 6 month bone loss. But further work is needed to implement optimal exercise prescriptions, and (5) In this light, NASA's Digital Astronaut Project (DAP) is working with NASA physiologists to implement well-validated computational models that can help understand the mechanisms of bone demineralization in microgravity, and enhance exercise countermeasure development.

  13. Adversarial intent modeling using embedded simulation and temporal Bayesian knowledge bases

    NASA Astrophysics Data System (ADS)

    Pioch, Nicholas J.; Melhuish, James; Seidel, Andy; Santos, Eugene, Jr.; Li, Deqing; Gorniak, Mark

    2009-05-01

    To foster shared battlespace awareness among air strategy planners, BAE Systems has developed Commander's Model Integration and Simulation Toolkit (CMIST), an Integrated Development Environment for authoring, integration, validation, and debugging of models relating multiple domains, including political, military, social, economic and information. CMIST provides a unified graphical user interface for such systems of systems modeling, spanning several disparate modeling paradigms. Here, we briefly review the CMIST architecture and then compare modeling results using two approaches to intent modeling. The first uses reactive agents with simplified behavior models that apply rule-based triggers to initiate actions based solely on observations of the external world at the current time in the simulation. The second method models proactive agents running an embedded CMIST simulation representing their projection of how events may unfold in the future in order to take early preventative action. Finally, we discuss a recent extension to CMIST that incorporates Temporal Bayesian Knowledge Bases for more sophisticated models of adversarial intent that are capable of inferring goals and future actions given evidence of current actions at particular times.

  14. A Knowledge Management Technology Architecture for Educational Research Organisations: Scaffolding Research Projects and Workflow Processing

    ERIC Educational Resources Information Center

    Muthukumar; Hedberg, John G.

    2005-01-01

    There is growing recognition that the economic climate of the world is shifting towards a knowledge-based economy where knowledge will be cherished as the most prized asset. In this regard, technology can be leveraged as a useful tool in effectually managing the knowledge capital of an organisation. Although several research studies have advanced…

  15. Is Trust Really Social Capital? Knowledge Sharing in Product Development Projects

    ERIC Educational Resources Information Center

    Bakker, Marloes; Leenders, Roger Th. A. J.; Gabbay, Shaul M.; Kratzer, Jan; Van Engelen, Jo M. L.

    2006-01-01

    Purpose: The purpose of this research is to focus on the role of trust in knowledge sharing. Social capital researchers have put forward trust as an important force behind the sharing of knowledge. This study aims to investigate whether trust indeed explains knowledge sharing relationships, or whether there are in fact much more important drivers…

  16. A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections

    SciTech Connect

    Zhang, You; Yin, Fang-Fang; Ren, Lei; Segars, W. Paul

    2013-12-15

    Purpose: To develop a technique to estimate onboard 4D-CBCT using prior information and limited-angle projections for potential 4D target verification of lung radiotherapy.Methods: Each phase of onboard 4D-CBCT is considered as a deformation from one selected phase (prior volume) of the planning 4D-CT. The deformation field maps (DFMs) are solved using a motion modeling and free-form deformation (MM-FD) technique. In the MM-FD technique, the DFMs are estimated using a motion model which is extracted from planning 4D-CT based on principal component analysis (PCA). The motion model parameters are optimized by matching the digitally reconstructed radiographs of the deformed volumes to the limited-angle onboard projections (data fidelity constraint). Afterward, the estimated DFMs are fine-tuned using a FD model based on data fidelity constraint and deformation energy minimization. The 4D digital extended-cardiac-torso phantom was used to evaluate the MM-FD technique. A lung patient with a 30 mm diameter lesion was simulated with various anatomical and respirational changes from planning 4D-CT to onboard volume, including changes of respiration amplitude, lesion size and lesion average-position, and phase shift between lesion and body respiratory cycle. The lesions were contoured in both the estimated and “ground-truth” onboard 4D-CBCT for comparison. 3D volume percentage-difference (VPD) and center-of-mass shift (COMS) were calculated to evaluate the estimation accuracy of three techniques: MM-FD, MM-only, and FD-only. Different onboard projection acquisition scenarios and projection noise levels were simulated to investigate their effects on the estimation accuracy.Results: For all simulated patient and projection acquisition scenarios, the mean VPD (±S.D.)/COMS (±S.D.) between lesions in prior images and “ground-truth” onboard images were 136.11% (±42.76%)/15.5 mm (±3.9 mm). Using orthogonal-view 15°-each scan angle, the mean VPD/COMS between the lesion

  17. Enabling Integrated Decision Making for Electronic-Commerce by Modelling an Enterprise's Sharable Knowledge.

    ERIC Educational Resources Information Center

    Kim, Henry M.

    2000-01-01

    An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…

  18. KNOWLEDGE DRIVEN BINNING AND PHEWAS ANALYSIS IN MARSHFIELD PERSONALIZED MEDICINE RESEARCH PROJECT USING BIOBIN.

    PubMed

    Basile, Anna O; Wallace, John R; Peissig, Peggy; McCarty, Catherine A; Brilliant, Murray; Ritchie, Marylyn D

    2016-01-01

    Next-generation sequencing technology has presented an opportunity for rare variant discovery and association of these variants with disease. To address the challenges of rare variant analysis, multiple statistical methods have been developed for combining rare variants to increase statistical power for detecting associations. BioBin is an automated tool that expands on collapsing/binning methods by performing multi-level variant aggregation with a flexible, biologically informed binning strategy using an internal biorepository, the Library of Knowledge (LOKI). The databases within LOKI provide variant details, regional annotations and pathway interactions which can be used to generate bins of biologically-related variants, thereby increasing the power of any subsequent statistical test. In this study, we expand the framework of BioBin to incorporate statistical tests, including a dispersion-based test, SKAT, thereby providing the option of performing a unified collapsing and statistical rare variant analysis in one tool. Extensive simulation studies performed on gene-coding regions showed a Bin-KAT analysis to have greater power than BioBin-regression in all simulated conditions, including variants influencing the phenotype in the same direction, a scenario where burden tests often retain greater power. The use of Madsen- Browning variant weighting increased power in the burden analysis to that equitable with Bin-KAT; but overall Bin-KAT retained equivalent or higher power under all conditions. Bin-KAT was applied to a study of 82 pharmacogenes sequenced in the Marshfield Personalized Medicine Research Project (PMRP). We looked for association of these genes with 9 different phenotypes extracted from the electronic health record. This study demonstrates that Bin-KAT is a powerful tool for the identification of genes harboring low frequency variants for complex phenotypes.

  19. KNOWLEDGE DRIVEN BINNING AND PHEWAS ANALYSIS IN MARSHFIELD PERSONALIZED MEDICINE RESEARCH PROJECT USING BIOBIN*

    PubMed Central

    BASILE, ANNA O; WALLACE, JOHN R; PEISSIG, PEGGY; MCCARTY, CATHERINE A; BRILLIANT, MURRAY

    2015-01-01

    Next-generation sequencing technology has presented an opportunity for rare variant discovery and association of these variants with disease. To address the challenges of rare variant analysis, multiple statistical methods have been developed for combining rare variants to increase statistical power for detecting associations. BioBin is an automated tool that expands on collapsing/binning methods by performing multi-level variant aggregation with a flexible, biologically informed binning strategy using an internal biorepository, the Library of Knowledge (LOKI). The databases within LOKI provide variant details, regional annotations and pathway interactions which can be used to generate bins of biologically-related variants, thereby increasing the power of any subsequent statistical test. In this study, we expand the framework of BioBin to incorporate statistical tests, including a dispersion-based test, SKAT, thereby providing the option of performing a unified collapsing and statistical rare variant analysis in one tool. Extensive simulation studies performed on gene-coding regions showed a Bin-KAT analysis to have greater power than BioBin-regression in all simulated conditions, including variants influencing the phenotype in the same direction, a scenario where burden tests often retain greater power. The use of Madsen-Browning variant weighting increased power in the burden analysis to that equitable with Bin-KAT; but overall Bin-KAT retained equivalent or higher power under all conditions. Bin-KAT was applied to a study of 82 pharmacogenes sequenced in the Marshfield Personalized Medicine Research Project (PMRP). We looked for association of these genes with 9 different phenotypes extracted from the electronic health record. This study demonstrates that Bin-KAT is a powerful tool for the identification of genes harboring low frequency variants for complex phenotypes. PMID:26776191

  20. Toward a Model of Knowledge Structure and a Comparative Analysis of Knowledge Structure Measurement Techniques

    DTIC Science & Technology

    1991-09-01

    POLYCON, INDSCAL/SINDSCAL, KYST, and MULTISCALE). Polzella and Reid (1989) employed MDS techniques to discover differences in performance characteristics...Reasoning and the structure of knowledge in biochemistry. Instructional Science, 17, 57-76. Polzella , D. J., and Reid, G. B. (1989

  1. Integrating the Illness Beliefs Model in clinical practice: a Family Systems Nursing knowledge utilization model.

    PubMed

    Duhamel, Fabie; Dupuis, France; Turcotte, Annie; Martinez, Anne-Marie; Goudreau, Johanne

    2015-05-01

    To promote the integration of Family Systems Nursing (FSN) in clinical practice, we need to better understand how nurses overcome the challenges of FSN knowledge utilization. A qualitative exploratory study was conducted with 32 practicing female nurses from hospital and community settings who had received FSN intervention training and skill development based on the Illness Beliefs Model and the Calgary Family Assessment and Intervention Models. The participants were interviewed about how they utilized FSN knowledge in their nursing practice. From the data analysis, a FSN Knowledge Utilization Model emerged that involves three major components: (a) nurses' beliefs in FSN and in their FSN skills, (b) nurses' knowledge utilization strategies to address the challenges of FSN practice, and (c) FSN positive outcomes. The FSN Knowledge Utilization Model describes a circular, incremental, and iterative process used by nurses to integrate FSN in daily nursing practice. Findings point to a need for re-evaluation of educational and management strategies in clinical settings for advancing the practice of FSN.

  2. Modeling new coal projects: supercritical or subcritical?

    SciTech Connect

    Carrino, A.J.; Jones, R.B.

    2006-11-15

    Decisions made on new build coal-fired plants are driven by several factors - emissions, fuel logistics and electric transmission access all provide constraints. The crucial economic decision whether to build supercritical or subcritical units often depends on assumptions concerning the reliability/availability of each technology, the cost of on-fuel operations including maintenance, the generation efficiencies and the potential for emissions credits at some future value. Modeling the influence of these key factors requires analysis and documentation to assure the assets actually meet the projected financial performance. This article addresses some of the issue related to the trade-offs that have the potential to be driven by the supercritical/subcritical decision. Solomon Associates has been collecting cost, generation and reliability data on coal-fired power generation assets for approximately 10 years using a strict methodology and taxonomy to categorize and compare actual plant operations data. This database provides validated information not only on performance, but also on alternative performance scenarios, which can provide useful insights in the pro forma financial analysis and models of new plants. 1 ref., 1 fig., 3 tabs.

  3. Knowledge management: organizing nursing care knowledge.

    PubMed

    Anderson, Jane A; Willson, Pamela

    2009-01-01

    Almost everything we do in nursing is based on our knowledge. In 1984, Benner (From Novice to Expert: Excellence and Power in Clinical Nursing Practice. Menlo Park, CA: Addison-Wesley; 1984) described nursing knowledge as the culmination of practical experience and evidence from research, which over time becomes the "know-how" of clinical experience. This "know-how" knowledge asset is dynamic and initially develops in the novice critical care nurse, expands within competent and proficient nurses, and is actualized in the expert intensive care nurse. Collectively, practical "know-how" and investigational (evidence-based) knowledge culminate into the "knowledge of caring" that defines the profession of nursing. The purpose of this article is to examine the concept of knowledge management as a framework for identifying, organizing, analyzing, and translating nursing knowledge into daily practice. Knowledge management is described in a model case and implemented in a nursing research project.

  4. Collaborative Group Learning and Knowledge Building to Address Information Systems Project Failure

    ERIC Educational Resources Information Center

    Angelo, Raymond

    2011-01-01

    Approximately half of the information systems (IS) projects implemented each year are considered failures. These failed projects cost billions of dollars annually. Failures can be due to projects being delivered late, over-budget, abandoned after significant time and resource investment, or failing to achieve desired results. More often than not,…

  5. Data Overload Impact on Project Management: How Knowledge Management Systems Can Improve Federal Agencies Effectiveness

    ERIC Educational Resources Information Center

    Rodriguez, Jacinto

    2013-01-01

    This mixed method exploratory case study was used to explore the effect data overload has on project management, how data overload affects project management effectiveness, how prepared program office staff is to manage multiple projects effectively, and how the program office's organizational structure and data management systems affect project…

  6. Modeling Social Influences in a Knowledge Management Network

    ERIC Educational Resources Information Center

    Franco, Giacomo; Maresca, Paolo; Nota, Giancarlo

    2010-01-01

    The issue of knowledge management in a distributed network is receiving increasing attention from both scientific and industrial organizations. Research efforts in this field are motivated by the awareness that knowledge is more and more perceived as a primary economic resource and that, in the context of organization of organizations, the…

  7. Collaborative Knowledge Production Model in the Field of Organizational Development

    ERIC Educational Resources Information Center

    Ramstad, Elise

    2008-01-01

    The paper proposes a framework for collaborative knowledge production in order to enhance the amount and quality of knowledge in the field of organizational development (OD). We distinguish three types of actors that offer development services for work organizations: academic R&D units, training and educational institutes and management…

  8. A Threshold Model of Content Knowledge Transfer for Socioscientific Argumentation

    ERIC Educational Resources Information Center

    Sadler, Troy D.; Fowler, Samantha R.

    2006-01-01

    This study explores how individuals make use of scientific content knowledge for socioscientific argumentation. More specifically, this mixed-methods study investigates how learners apply genetics content knowledge as they justify claims relative to genetic engineering. Interviews are conducted with 45 participants, representing three distinct…

  9. Designing a Trust Evaluation Model for Open-Knowledge Communities

    ERIC Educational Resources Information Center

    Yang, Xianmin; Qiu, Qin; Yu, Shengquan; Tahir, Hasan

    2014-01-01

    The openness of open-knowledge communities (OKCs) leads to concerns about the knowledge quality and reliability of such communities. This confidence crisis has become a major factor limiting the healthy development of OKCs. Earlier studies on trust evaluation for Wikipedia considered disadvantages such as inadequate influencing factors and…

  10. The Knowledge of Teaching: The K3P3 Model

    ERIC Educational Resources Information Center

    Kolis, Mickey; Dunlap, William P.

    2004-01-01

    Good teaching is ultimately deeply and thoroughly grounded in knowledge. The days of the "if you can't do anything else, then teach" mentality are long gone, ushered out due to major changes in knowledge about effective teaching. The National Board for Professional Teaching Standards, National Council for the Accreditation of Teacher Education…

  11. The Contribution of the Topo-Iberia Project to the Knowledge of the Western Mediterranean Geodynamics.

    NASA Astrophysics Data System (ADS)

    Diaz Cusi, J.

    2012-12-01

    noise allows describing the main characteristics of crustal structure. Local body-wave tomography, currently focused on Northern Morocco, has improved the location of the small magnitude events affecting the area and the details of the crustal structure. Teleseismic tomography has confirmed, using an independent data set, the presence of a high-velocity slab beneath the Gibraltar Arc. -. A number of 2-D Magnetotelluric (MT) profiles have been acquired in Iberia and Morocco. These MT profiles provide a 1500 km long N-S lithospheric transect extending from the Cantabrian Mountains to the Atlas. -. The Topoiberia GPS deployments acquired long-term time series of data allowing well resolved determinations of the relatively small velocity displacements affecting the region. Additional high-resolution active-source seismic experiments recently carried out in the Atlas, the Rif and the Central and Iberian Massifs piggy back with this large scale project are complementing this multidisciplinary data base. This new data provide a large number of physical observables to better constrain numerical models at lithospheric scale, which would result in high-quality lithospheric transects.

  12. Major Events Coordinated Security Solutions: The Application of the Project Management Body of Knowledge for Managing a Science and Technology Project

    DTIC Science & Technology

    2011-02-01

    scientifiques, technologues et autres professionnels de RDDC ainsi que d’autres ministères et organismes fédéraux. La gestion de ces données aurait été...commitment to professionalism, competency and continuous learning. The Project Management Body of Knowledge (PMBOK), one of the standards established by PMI...vendor without sufficient justification. A detailed specification was developed and the requirement was competed . A total of five bids were received

  13. Introduction to Financial Projection Models. Business Management Instructional Software.

    ERIC Educational Resources Information Center

    Pomeroy, Robert W., III

    This guidebook and teacher's guide accompany a personal computer software program and introduce the key elements of financial projection modeling to project the financial statements of an industrial enterprise. The student will then build a model on an electronic spreadsheet. The guidebook teaches the purpose of a financial model and the steps…

  14. Implementing a Technology-Supported Model for Cross-Organisational Learning and Knowledge Building for Teachers

    ERIC Educational Resources Information Center

    Tammets, Kairit; Pata, Kai; Laanpere, Mart

    2012-01-01

    This study proposed using the elaborated learning and knowledge building model (LKB model) derived from Nonaka and Takeuchi's knowledge management model for supporting cross-organisational teacher development in the temporarily extended organisations composed of universities and schools. It investigated the main LKB model components in the context…

  15. NASA/DoD Aerospace Knowledge Diffusion Research Project. Report Number 14. Engineering Work and Information Use in Aerospace: Results of a Telephone Survey

    DTIC Science & Technology

    1992-10-01

    Kennedy; and Rebecca 0. Barclay. "The NASA/DoD Aerospace Knowledge Diffusion Research Project." Government Information Quarterly 8.2 (1991): 219-233...Rebecca 0. Barclay. The NASA/DoD Aerospace Knowledge Diffusion Research Project. Reprinted from Government Information Quarterly , Volume 8, "’). 2

  16. Tools and approaches for the construction of knowledge models from the neuroscientific literature.

    PubMed

    Burns, Gully A P C; Khan, Arshad M; Ghandeharizadeh, Shahram; O'Neill, Mark A; Chen, Yi-Shin

    2003-01-01

    Within this paper, we describe a neuroinformatics project (called "NeuroScholar," http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a "real-world" neuroscience question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar enables the system to work and illustrate different components of the user interface. We then describe the knowledge management strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called the "View-Primitive-Data Model framework," [VPDMf]) to provide an open-source, accelerated software development environment for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable software engineering tools.

  17. Tools and Approaches for the Construction of Knowledge Models from the Neuroscientific Literature

    PubMed Central

    Burns, Gully A. P. C.; Khan, Arshad M.; Ghandeharizadeh, Shahram; O’Neill, Mark A.; Chen, Yi-Shin

    2015-01-01

    Within this paper, we describe a neuroinformatics project (called “NeuroScholar,” http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a “real-world” neuroscience question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar enables the system to work and illustrate different components of the user interface. We then describe the knowledge management strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called the “View-Primitive-Data Model framework,” [VPDMf]) to provide an open-source, accelerated software development environment for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable software engineering tools. PMID:15055395

  18. Thoughts about conceptual models, theories, and quality improvement projects.

    PubMed

    Fawcett, Jacqueline

    2014-10-01

    This essay focuses on how a conceptual model of nursing can be the basis for identification of the phenomenon of interest for a quality improvement project and how a theory of quality improvement or a theory of change is the methodological guide for the project. An explanation and examples of conceptual-theoretical-empirical structures for quality improvement projects are given.

  19. Knowledge discovery and nonlinear modeling can complement climate model simulations for predictive insights about climate extremes and their impacts

    NASA Astrophysics Data System (ADS)

    Ganguly, A. R.; Steinbach, M.; Kumar, V.

    2009-12-01

    The IPCC AR4 not only provided conclusive evidence about anticipated global warming at century scales, but also indicated with a high level of certainty that the warming is caused by anthropogenic emissions. However, an outstanding knowledge-gap is to develop credible projections of climate extremes and their impacts. Climate extremes are defined in this context as extreme weather and hydrological events, as well as changes in regional hydro-meteorological patterns, especially at decadal scales. While temperature extremes from climate models have relatively better skills, hydrological variables and their extremes have significant shortcomings. Credible projections about tropical storms, sea level rise, coastal storm surge, land glacier melts, and landslides remain elusive. The next generation of climate models is expected to have higher precision. However, their ability to provide more accurate projections of climate extremes remains to be tested. Projections of observed trends into the future may not be reliable in non-stationary environments like climate change, even though functional relationships derived from physics may hold. On the other hand, assessments of climate change impacts which are useful for stakeholders and policy makers depend critically on regional and decadal scale projections of climate extremes. Thus, climate impacts scientists often need to develop qualitative inferences about the not so-well predicted climate extremes based on insights from observations (e.g., increased hurricane intensity) or conceptual understanding (e.g., relation of wildfires to regional warming or drying and hurricanes to SST). However, neither conceptual understanding nor observed trends may be reliable when extrapolating in a non-stationary environment. These urgent societal priorities offer fertile grounds for nonlinear modeling and knowledge discovery approaches. Thus, qualitative inferences on climate extremes and impacts may be transformed into quantitative

  20. Effective Strategies to Communicate Modeling with Project Regulators and Stakeholders

    NASA Astrophysics Data System (ADS)

    Arola, C.; Moser, K.; Bratton, W.

    2008-12-01

    Modeling is commonly used to support environmental project decision making. A notable example of the role of groundwater flow, fate, and transport modeling is to support the CERCLA remedial investigation and feasibility study (RI/FS) process. Modeling within an RI/FS is often used to evaluate new sampling locations, or to support evaluation of potential groundwater remedial technologies. Modeling used in these efforts ranges from simple to complex, and often must fit within a variety of state and federal regulations. Project stakeholder understanding and familiarity with model tools and application ranges broadly. Effective communication of the purpose, expected outcomes, strengths, limitations, and uncertainties of modeling efforts with regulators and project stakeholders is critical to successfully support project needs. Effective communication begins prior to the implementation of modeling efforts and should continue throughout the lifecycle of the modeling project. Communication efforts should include regular project workshops to keep stakeholders apprised of modeling progress. Regular communication throughout the modeling lifecycle provides a more technically and cost effective final product due to consideration of stakeholder concerns throughout the modeling effort through information exchange and negotiation, rather than at the end of the project, when it is often too late in the process or too expensive to change course and meet project milestones.

  1. Using Unified Modeling Language for Conceptual Modelling of Knowledge-Based Systems

    NASA Astrophysics Data System (ADS)

    Abdullah, Mohd Syazwan; Benest, Ian; Paige, Richard; Kimble, Chris

    This paper discusses extending the Unified Modelling Language by means of a profile for modelling knowledge-based system in the context of Model Driven Architecture (MDA) framework. The profile is implemented using the eXecutable Modelling Framework (XMF) Mosaic tool. A case study from the health care domain demonstrates the practical use of this profile; with the prototype implemented in Java Expert System Shell (Jess). The paper also discusses the possible mapping of the profile elements to the platform specific model (PSM) of Jess and provides some discussion on the Production Rule Representation (PRR) standardisation work.

  2. A Design Thinking Approach to Teaching Knowledge Management

    ERIC Educational Resources Information Center

    Wang, Shouhong; Wang, Hai

    2008-01-01

    Pedagogies for knowledge management courses are still undeveloped. This Teaching Tip introduces a design thinking approach to teaching knowledge management. An induction model used to guide students' real-life projects for knowledge management is presented. (Contains 1 figure.)

  3. The Impact of a Community Mobilization Project on Health-Related Knowledge and Practices in Cameroon.

    ERIC Educational Resources Information Center

    Babalola, Stella; Sakolsky, Natasha; Vondrasek, Claudia; Mounlom, Damaris; Brown, Jane; Tchupo, Jean-Paul

    2001-01-01

    Evaluated the impact of a reproductive health community mobilization initiative in Cameroon. Baseline and followup survey data indicated that at a rural site, the intervention positively influenced family planning knowledge and practices, HIV/AIDS and sexually transmitted disease knowledge and attitudes, and use of health services. At an urban…

  4. Unfolding Possibilities through a Decolonizing Project: Indigenous Knowledges and Rural Japanese Women

    ERIC Educational Resources Information Center

    Mayuzumi, Kimine

    2009-01-01

    Rural Japanese women have been overlooked or misrepresented in the academic and nationalist discourses on Japanese women. Using an anti-colonial feminist framework, I advocate that centering discussions on Indigenous knowledges will help fill this gap based on the belief that Indigenous-knowledge framework is a tool to show the agency of the…

  5. Projections of leaf area index in earth system models

    DOE PAGES

    Mahowald, Natalie; Lo, Fiona; Zheng, Yun; ...

    2016-03-09

    The area of leaves in the plant canopy, measured as leaf area index (LAI), modulates key land–atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2), and other trace gases and aerosols, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. Here our goal is to characterize the LAI projections from the latest generation of earth system models (ESMs) for the Representative Concentration Pathway (RCP) 8.5 and RCP4.5 scenarios. On average, the models project increases in LAI in both RCP8.5 and RCP4.5 over most of the globe, but also show decreases in some partsmore » of the tropics. Because of projected increases in variability, there are also more frequent periods of low LAI across broad regions of the tropics. Projections of LAI changes varied greatly among models: some models project very modest changes, while others project large changes, usually increases. Modeled LAI typically increases with modeled warming in the high latitudes, but often decreases with increasing local warming in the tropics. The models with the most skill in simulating current LAI in the tropics relative to satellite observations tend to project smaller increases in LAI in the tropics in the future compared to the average of all the models. Using LAI projections to identify regions that may be vulnerable to climate change presents a slightly different picture than using precipitation projections, suggesting LAI may be an additional useful tool for understanding climate change impacts. Going forward, users of LAI projections from the CMIP5 ESMs evaluated here should be aware that model outputs do not exhibit clear-cut relationships to vegetation carbon and precipitation. Lastly, our findings underscore the need for more attention to LAI projections, in terms of understanding the drivers of projected changes and improvements to model skill.« less

  6. Projections of leaf area index in earth system models

    SciTech Connect

    Mahowald, Natalie; Lo, Fiona; Zheng, Yun; Harrison, Laura; Funk, Chris; Lombardozzi, Danica; Goodale, Christine

    2016-03-09

    The area of leaves in the plant canopy, measured as leaf area index (LAI), modulates key land–atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2), and other trace gases and aerosols, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. Here our goal is to characterize the LAI projections from the latest generation of earth system models (ESMs) for the Representative Concentration Pathway (RCP) 8.5 and RCP4.5 scenarios. On average, the models project increases in LAI in both RCP8.5 and RCP4.5 over most of the globe, but also show decreases in some parts of the tropics. Because of projected increases in variability, there are also more frequent periods of low LAI across broad regions of the tropics. Projections of LAI changes varied greatly among models: some models project very modest changes, while others project large changes, usually increases. Modeled LAI typically increases with modeled warming in the high latitudes, but often decreases with increasing local warming in the tropics. The models with the most skill in simulating current LAI in the tropics relative to satellite observations tend to project smaller increases in LAI in the tropics in the future compared to the average of all the models. Using LAI projections to identify regions that may be vulnerable to climate change presents a slightly different picture than using precipitation projections, suggesting LAI may be an additional useful tool for understanding climate change impacts. Going forward, users of LAI projections from the CMIP5 ESMs evaluated here should be aware that model outputs do not exhibit clear-cut relationships to vegetation carbon and precipitation. Lastly, our findings underscore the need for more attention to LAI projections, in terms of understanding the drivers of projected changes and improvements to model skill.

  7. Project deliverables - a waste of time or a chance for knowledge transfer and dissemination?

    NASA Astrophysics Data System (ADS)

    Walter, Sylvia

    2016-04-01

    Deliverables are a common tool to measure a distinct output of a project. They should be meaningful in terms of the project's objectives and are normally constituted by e.g. a written report or document, a developed tool or software, an organized training or conference. They can be scientific or technical. The number of deliverables must be reasonable and commensurate to the project and its content. Deliverables as contractual obligations are often time consuming and often seen as a waste of "research" time, as one more administrative task without any use. However, deliverables are needed to verify the progress of a project and to convince the sponsor that the project is going in the right direction and the money well-invested. The presentation will deal with the question on how to use a deliverable in a profitable way for the project and what are the possibilities of use.

  8. Student use of a Learning Management System for group projects: A case study investigating interaction, collaboration, and knowledge construction

    NASA Astrophysics Data System (ADS)

    Lonn, Steven D.

    Web-based Learning Management Systems (LMS) allow instructors and students to share instructional materials, make class announcements, submit and return course assignments, and communicate with each other online. Previous LMS-related research has focused on how these systems deliver and manage instructional content with little concern for how students' constructivist learning can be encouraged and facilitated. This study investigated how students use LMS to interact, collaborate, and construct knowledge within the context of a group project but without mediation by the instructor. The setting for this case study was students' use in one upper-level biology course of the local LMS within the context of a course-related group project, a mock National Institutes of Health grant proposal. Twenty-one groups (82 students) voluntarily elected to use the LMS, representing two-thirds of all students in the course. Students' peer-to-peer messages within the LMS, event logs, online surveys, focus group interviews, and instructor interviews were used in order to answer the study's overarching research question. The results indicate that students successfully used the LMS to interact and, to a significant extent, collaborate, but there was very little evidence of knowledge construction using the LMS technology. It is possible that the ease and availability of face-to-face meetings as well as problems and limitations with the technology were factors that influenced whether students' online basic interaction could be further distinguished as collaboration or knowledge construction. Despite these limitations, students found several tools and functions of the LMS useful for their online peer interaction and completion of their course project. Additionally, LMS designers and implementers are urged to consider previous literature on computer-supported collaborative learning environments in order to better facilitate independent group projects within these systems. Further research is

  9. Knowledge Management: A Model to Enhance Combatant Command Effectiveness

    DTIC Science & Technology

    2011-02-15

    principle that says that the integration of knowledge management and organizational learning creates more value to an organization than either one...the total knowledge required to lead the organization.7 Peter Senge, one of the leading scholars in organizational learning has defined five...disciplines are the essential elements of any learning organizations and the application of organizational learning .9 Learning organizations use forecasting

  10. Using the Knowledge to Action Process Model to Incite Clinical Change

    ERIC Educational Resources Information Center

    Petzold, Anita; Korner-Bitensky, Nicol; Menon, Anita

    2010-01-01

    Introduction: Knowledge translation (KT) has only recently emerged in the field of rehabilitation with attention on creating effective KT interventions to increase clinicians' knowledge and use of evidence-based practice (EBP). The uptake of EBP is a complex process that can be facilitated by the use of the Knowledge to Action Process model. This…

  11. Developing Elementary Teachers' Knowledge about Functions and Rate of Change through Modeling

    ERIC Educational Resources Information Center

    Weber, Eric; Tallman, Michael A.; Middleton, James A.

    2015-01-01

    The purpose of this article is to describe the development of elementary school teachers' mathematical knowledge for teaching as they participated in a Modeling Instruction environment that placed heavy emphasis on improving their subject-matter knowledge as a basis for affecting the development of their pedagogical content knowledge. We…

  12. Knowledge Discovery and Digital Cartography for the ALS (Linguistic Atlas of Sicily) Project

    NASA Astrophysics Data System (ADS)

    Gentile, Antonio; Pirrone, Roberto; Russo, Giuseppe

    In this paper the latest developments of the ALS (Linguistic Atlas of Sicily) project are presented. The ALS project has the purpose to define methodologies and tools to allow researches in the socio-linguistic field. Different types of variables (both quantitative and qualitative) are involved.

  13. Sustainability and Local Knowledge: The Case of the Brazilian ESP Project 1980-2005

    ERIC Educational Resources Information Center

    Holmes, John; Celani, Maria Antonieta A.

    2006-01-01

    On the occasion of the 25th anniversary of the Brazilian ESP Project, this paper discusses why it has been able to sustain itself and develop over such a long period. The analysis focuses on two main areas of decision-making which led to this success: the structure of the project itself and the ESP methodology which was developed. Comparing the…

  14. Impact of an educational hands-on project on the antimicrobial, antitumor and anti-inflammatory properties of plants on Portuguese students' awareness, knowledge, and competences.

    PubMed

    Azevedo, Maria-Manuel; Pinheiro, Céline; Dias, Alberto C P; Pinto-Ribeiro, Filipa; Baltazar, Fátima

    2015-02-23

    Promoting environmental and health education is crucial to allow students to make conscious decisions based on scientific criteria. The study is based on the outcomes of an Educational Project implemented with Portuguese students and consisted of several activities, exploring pre-existent Scientific Gardens at the School, aiming to investigate the antibacterial, antitumor and anti-inflammatory properties of plant extracts, with posterior incorporation in soaps and creams. A logo and a webpage were also created. The effectiveness of the project was assessed via the application of a questionnaire (pre- and post-test) and observations of the participants in terms of engagement and interaction with all individuals involved in the project. This project increased the knowledge about autochthonous plants and the potential medical properties of the corresponding plant extracts and increased the awareness about the correct design of scientific experiments and the importance of the use of experimental models of disease. The students regarded their experiences as exciting and valuable and believed that the project helped to improve their understanding and increase their interest in these subjects and in science in general. This study emphasizes the importance of raising students' awareness on the valorization of autochthonous plants and exploitation of their medicinal properties.

  15. Impact of an Educational Hands-on Project on the Antimicrobial, Antitumor and Anti-Inflammatory Properties of Plants on Portuguese Students’ Awareness, Knowledge, and Competences

    PubMed Central

    Azevedo, Maria-Manuel; Pinheiro, Céline; Dias, Alberto C.P.; Pinto-Ribeiro, Filipa; Baltazar, Fátima

    2015-01-01

    Promoting environmental and health education is crucial to allow students to make conscious decisions based on scientific criteria. The study is based on the outcomes of an Educational Project implemented with Portuguese students and consisted of several activities, exploring pre-existent Scientific Gardens at the School, aiming to investigate the antibacterial, antitumor and anti-inflammatory properties of plant extracts, with posterior incorporation in soaps and creams. A logo and a webpage were also created. The effectiveness of the project was assessed via the application of a questionnaire (pre- and post-test) and observations of the participants in terms of engagement and interaction with all individuals involved in the project. This project increased the knowledge about autochthonous plants and the potential medical properties of the corresponding plant extracts and increased the awareness about the correct design of scientific experiments and the importance of the use of experimental models of disease. The students regarded their experiences as exciting and valuable and believed that the project helped to improve their understanding and increase their interest in these subjects and in science in general. This study emphasizes the importance of raising students’ awareness on the valorization of autochthonous plants and exploitation of their medicinal properties. PMID:25711362

  16. A Model of the Temporal Dynamics of Knowledge Brokerage in Sustainable Development

    ERIC Educational Resources Information Center

    Hukkinen, Janne I.

    2016-01-01

    I develop a conceptual model of the temporal dynamics of knowledge brokerage for sustainable development. Brokerage refers to efforts to make research and policymaking more accessible to each other. The model enables unbiased and systematic consideration of knowledge brokerage as part of policy evolution. The model is theoretically grounded in…

  17. More than Anecdotes: Fishers’ Ecological Knowledge Can Fill Gaps for Ecosystem Modeling

    PubMed Central

    Bevilacqua, Ana Helena V.; Carvalho, Adriana R.; Angelini, Ronaldo; Christensen, Villy

    2016-01-01

    Background Ecosystem modeling applied to fisheries remains hampered by a lack of local information. Fishers’ knowledge could fill this gap, improving participation in and the management of fisheries. Methodology The same fishing area was modeled using two approaches: based on fishers’ knowledge and based on scientific information. For the former, the data was collected by interviews through the Delphi methodology, and for the latter, the data was gathered from the literature. Agreement between the attributes generated by the fishers’ knowledge model and scientific model is discussed and explored, aiming to improve data availability, the ecosystem model, and fisheries management. Principal Findings The ecosystem attributes produced from the fishers’ knowledge model were consistent with the ecosystem attributes produced by the scientific model, and elaborated using only the scientific data from literature. Conclusions/Significance This study provides evidence that fishers’ knowledge may suitably complement scientific data, and may improve the modeling tools for the research and management of fisheries. PMID:27196131

  18. Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling.

    PubMed

    Mainali, Kumar P; Warren, Dan L; Dhileepan, Kunjithapatham; McConnachie, Andrew; Strathie, Lorraine; Hassan, Gul; Karki, Debendra; Shrestha, Bharat B; Parmesan, Camille

    2015-12-01

    Modeling the distributions of species, especially of invasive species in non-native ranges, involves multiple challenges. Here, we developed some novel approaches to species distribution modeling aimed at reducing the influences of such challenges and improving the realism of projections. We estimated species-environment relationships for Parthenium hysterophorus L. (Asteraceae) with four modeling methods run with multiple scenarios of (i) sources of occurrences and geographically isolated background ranges for absences, (ii) approaches to drawing background (absence) points, and (iii) alternate sets of predictor variables. We further tested various quantitative metrics of model evaluation against biological insight. Model projections were very sensitive to the choice of training dataset. Model accuracy was much improved using a global dataset for model training, rather than restricting data input to the species' native range. AUC score was a poor metric for model evaluation and, if used alone, was not a useful criterion for assessing model performance. Projections away from the sampled space (i.e., into areas of potential future invasion) were very different depending on the modeling methods used, raising questions about the reliability of ensemble projections. Generalized linear models gave very unrealistic projections far away from the training region. Models that efficiently fit the dominant pattern, but exclude highly local patterns in the dataset and capture interactions as they appear in data (e.g., boosted regression trees), improved generalization of the models. Biological knowledge of the species and its distribution was important in refining choices about the best set of projections. A post hoc test conducted on a new Parthenium dataset from Nepal validated excellent predictive performance of our 'best' model. We showed that vast stretches of currently uninvaded geographic areas on multiple continents harbor highly suitable habitats for parthenium

  19. A Team Building Model for Software Engineering Courses Term Projects

    ERIC Educational Resources Information Center

    Sahin, Yasar Guneri

    2011-01-01

    This paper proposes a new model for team building, which enables teachers to build coherent teams rapidly and fairly for the term projects of software engineering courses. Moreover, the model can also be used to build teams for any type of project, if the team member candidates are students, or if they are inexperienced on a certain subject. The…

  20. Connectionist models of artificial grammar learning: what type of knowledge is acquired?

    PubMed

    Kinder, Annette; Lotz, Anja

    2009-09-01

    Two experiments are presented that test the predictions of two associative learning models of Artificial Grammar Learning. The two models are the simple recurrent network (SRN) and the competitive chunking (CC) model. The two experiments investigate acquisition of different types of knowledge in this task: knowledge of frequency and novelty of stimulus fragments (Experiment 1) and knowledge of letter positions, of small fragments, and of large fragments up to entire strings (Experiment 2). The results show that participants acquired all types of knowledge. Simulation studies demonstrate that the CC model explains the acquisition of all types of fragment knowledge but fails to account for the acquisition of positional knowledge. The SRN model, by contrast, accounts for the entire pattern of results found in the two experiments.

  1. Sterilization project offers model for better care.

    PubMed

    Finger, W R

    1993-08-01

    India's experiences with sterilization indicate that quality of care is an essential feature of appropriate, voluntary family planning services. Good quality of care reduces the problems associated with services and increases client's acceptability and continuation rates. The Center for Excellence in India has established a model that emphasis matching the right method with each client's circumstances. The model first developed standards, which were based on international guidelines and expertise, and then developed and implemented a training program for providers; finally, a quality assurance system was established in order to promote compliance with standards. At present, there is not 100% agreement among international guidelines on standards for sterilization or other methods. In 1992, Family Health International (FHI) published a comparison on 8 major sets of service, delivery, guidelines, and were used around the world; FHI world wide variations in guidelines. A USAID study group is currently reviewing scientific evidence on oral contraceptives, injectables, Norplant, and IUDS. There is difficulty in reaching international consensus and even greater difficulty in changing approaches and policies of specific countries. It is much easier to institute quality of care issues at the beginning of program development or when methods are first introduced. In India, the Centers of Excellence program developed its own national standards on sterilization, and the resulting document is specifically suited to India. The standards emphasize the client's choice and human issues such as counseling and communication. Sterilization reversal, which is not always successful, will be provided, even though sterilization will be promoted as a permanent procedure. 4 regional centers have been set up through medical colleges in Delhi, Calcutta, Bombay and Madras. 12 additional state level centers will be established in the future. Good training was considered an essential part of the

  2. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 68: Who is Managing Knowledge? The Implications for Knowledge Production and Management of Global Strategic Alliances in Knowledge Dependent Industries

    NASA Technical Reports Server (NTRS)

    Golich, Vicki L.; Pinelli, Thomas

    1998-01-01

    Knowledge is the foundation upon which researchers build as they innovate. Innovation lies at the core of a state's or a firm's ability to survive in a competitive world. Indeed, some economic historians ever that technological innovation, not trade, is the engine to economic growth. Despite the centrality of knowledge to corporate success, analysts have only recently shown an interest in the "knowledge capital" or "intellectual capital" of the firm, often literally trying to assign a value to this resource.

  3. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report number 21: US aerospace industry librarians and technical information specialists as information intermediaries: Results of the phase 2 survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DoD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis U.S. aerospace industry librarians and technical information specialists as information intermediaries.

  4. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 22: US academic librarians and technical information specialists as information intermediaries: Results of the phase 3 survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis U.S. academic librarians and technical information specialists as information intermediaries.

  5. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 24: The technical communications practices of US aerospace engineers and scientists: Results of the phase 1 SAE mail survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis the technical communications practices of U.S. aerospace engineers and scientists affiliated with the Society of Automotive Engineers (SAE).

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 34: How early career-stage US aerospace engineers and scientists produce and use information

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis the production and use of information by U.S. aerospace engineers and scientists who had changed their American Institute of Aeronautics and Astronautics (AIAA) membership from student to professional in the past five years.

  7. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 23: The communications practices of US aerospace engineering faculty and students: Results of the phase 3 survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1994-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis U.S. aerospace engineering faculty and students.

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 33: The technical communications practices of US aerospace engineers and scientists: Results of the phase 1 AIAA mail survey

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    The U.S. government technical report is a primary means by which the results of federally funded research and development (R&D) are transferred to the U.S. aerospace industry. However, little is known about this information product in terms of its actual use, importance, and value in the transfer of federally funded R&D. To help establish a body of knowledge, the U.S. government technical report is being investigated as part of the NASA/DOD Aerospace Knowledge Diffusion Research Project. In this report, we summarize the literature on technical reports and provide a model that depicts the transfer of federally funded aerospace R&D via the U.S. government technical report. We present results from our investigation of aerospace knowledge diffusion vis-a-vis the U.S. government technical report, and present the results of research that investigated aerospace knowledge diffusion vis-a-vis the technical communications practices of U.S. aerospace engineers and scientists who are members of the American Institute of Aeronautics and Astronautics (AIAA).

  9. Meta-Modeling: A Knowledge-Based Approach to Facilitating Model Construction and Reuse

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Dungan, Jennifer L.

    1997-01-01

    In this paper, we introduce a new modeling approach called meta-modeling and illustrate its practical applicability to the construction of physically-based ecosystem process models. As a critical adjunct to modeling codes meta-modeling requires explicit specification of certain background information related to the construction and conceptual underpinnings of a model. This information formalizes the heretofore tacit relationship between the mathematical modeling code and the underlying real-world phenomena being investigated, and gives insight into the process by which the model was constructed. We show how the explicit availability of such information can make models more understandable and reusable and less subject to misinterpretation. In particular, background information enables potential users to better interpret an implemented ecosystem model without direct assistance from the model author. Additionally, we show how the discipline involved in specifying background information leads to improved management of model complexity and fewer implementation errors. We illustrate the meta-modeling approach in the context of the Scientists' Intelligent Graphical Modeling Assistant (SIGMA) a new model construction environment. As the user constructs a model using SIGMA the system adds appropriate background information that ties the executable model to the underlying physical phenomena under investigation. Not only does this information improve the understandability of the final model it also serves to reduce the overall time and programming expertise necessary to initially build and subsequently modify models. Furthermore, SIGMA's use of background knowledge helps eliminate coding errors resulting from scientific and dimensional inconsistencies that are otherwise difficult to avoid when building complex models. As a. demonstration of SIGMA's utility, the system was used to reimplement and extend a well-known forest ecosystem dynamics model: Forest-BGC.

  10. Validation of HEDR models. Hanford Environmental Dose Reconstruction Project

    SciTech Connect

    Napier, B.A.; Simpson, J.C.; Eslinger, P.W.; Ramsdell, J.V. Jr.; Thiede, M.E.; Walters, W.H.

    1994-05-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project has developed a set of computer models for estimating the possible radiation doses that individuals may have received from past Hanford Site operations. This document describes the validation of these models. In the HEDR Project, the model validation exercise consisted of comparing computational model estimates with limited historical field measurements and experimental measurements that are independent of those used to develop the models. The results of any one test do not mean that a model is valid. Rather, the collection of tests together provide a level of confidence that the HEDR models are valid.

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

    PubMed

    Bruce, Toby J A

    2016-05-01

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

  12. The Lunar Phases Project: A Mental Model-Based Observational Project for Undergraduate Nonscience Majors

    ERIC Educational Resources Information Center

    Meyer, Angela Osterman; Mon, Manuel J.; Hibbard, Susan T.

    2011-01-01

    We present our Lunar Phases Project, an ongoing effort utilizing students' actual observations within a mental model building framework to improve student understanding of the causes and process of the lunar phases. We implement this project with a sample of undergraduate, nonscience major students enrolled in a midsized public university located…

  13. Academy Sharing Knowledge (ASK). The NASA Source for Project Management Magazine. Volume 5

    NASA Technical Reports Server (NTRS)

    Post, Todd (Editor)

    2001-01-01

    How big is your project world? Is it big enough to contain other cultures, headquarters, hierarchies, and weird harpoon-like guns? Sure it is. The great American poet Walt Whitman said it best, 'I am large/I contain multitudes.' And so must you, Mr. and Ms. Project Manager. In this issue of ASK, we look outside the project box. See how several talented project managers have expanded their definition of project scope to include managing environments outside the systems and subsystems under their care. Here's a sampling of what we've put together for you this issue: In 'Three Screws Missing,' Mike Skidmore tells about his adventures at the Plesetek Cosmodrome in northern Russia. Ray Morgan in his story, 'Our Man in Kauai,' suggests we take a broader view of what's meant by 'the team.' Jenny Baer-Riedhart, the NASA program manager on the same Pathfinder solar-powered airplane, schools us in how to sell a program to Headquarters in 'Know Thyself--But Don't Forget to Learn About the Customer Too.' Scott Cameron of Proctor and Gamble talks about sharpening your hierarchical IQ in 'The Project Manager and the Hour Glass.' Mike Jansen in 'The Lawn Dart' describes how he and the 'voodoo crew' on the Space Shuttle Advanced Solid Rocket Motor program borrowed a harpoon-like gun from the Coast Guard to catch particles inside of a plume. These are just some of the stories you'll find in ASK this issue. We hope they cause you to stop and reflect on your own project's relationship to the world outside. We are also launching a new section this issue, 'There are No Mistakes, Only Lessons.' No stranger to ASK readers, Terry Little inaugurates this new section with his article 'The Don Quixote Complex.'

  14. Integrated Medical Model Project - Overview and Summary of Historical Application

    NASA Technical Reports Server (NTRS)

    Myers, J.; Boley, L.; Butler, D.; Foy, M.; Goodenow, D.; Griffin, D.; Keenan, A.; Kerstman, E.; Melton, S.; McGuire, K.; Saile, L.; Shah, R.; Garcia, Y.; Sirmons, B.; Walton, M.

    2015-01-01

    Introduction: The Integrated Medical Model (IMM) Project represents one aspect of NASA's Human Research Program (HRP) to quantitatively assess medical risks to astronauts for existing operational missions as well as missions associated with future exploration and commercial space flight ventures. The IMM takes a probabilistic approach to assessing the likelihood and specific outcomes of one hundred medical conditions within the envelope of accepted space flight standards of care over a selectable range of mission capabilities. A specially developed Integrated Medical Evidence Database (iMED) maintains evidence-based, organizational knowledge across a variety of data sources. Since becoming operational in 2011, version 3.0 of the IMM, the supporting iMED, and the expertise of the IMM project team have contributed to a wide range of decision and informational processes for the space medical and human research community. This presentation provides an overview of the IMM conceptual architecture and range of application through examples of actual space flight community questions posed to the IMM project. Methods: Figure 1 [see document] illustrates the IMM modeling system and scenario process. As illustrated, the IMM computational architecture is based on Probabilistic Risk Assessment techniques. Nineteen assumptions and limitations define the IMM application domain. Scenario definitions include crew medical attributes and mission specific details. The IMM forecasts probabilities of loss of crew life (LOCL), evacuation (EVAC), quality time lost during the mission, number of medical resources utilized and the number and type of medical events by combining scenario information with in-flight, analog, and terrestrial medical information stored in the iMED. In addition, the metrics provide the integrated information necessary to estimate optimized in-flight medical kit contents under constraints of mass and volume or acceptable level of mission risk. Results and Conclusions

  15. ISMIP6: Ice Sheet Model Intercomparison Project for CMIP6

    NASA Technical Reports Server (NTRS)

    Nowicki, S.

    2015-01-01

    ISMIP6 (Ice Sheet Model Intercomparison Project for CMIP6) targets the Cryosphere in a Changing Climate and the Future Sea Level Grand Challenges of the WCRP (World Climate Research Program). Primary goal is to provide future sea level contribution from the Greenland and Antarctic ice sheets, along with associated uncertainty. Secondary goal is to investigate feedback due to dynamic ice sheet models. Experiment design uses and augment the existing CMIP6 (Coupled Model Intercomparison Project Phase 6) DECK (Diagnosis, Evaluation, and Characterization of Klima) experiments. Additonal MIP (Model Intercomparison Project)- specific experiments will be designed for ISM (Ice Sheet Model). Effort builds on the Ice2sea, SeaRISE (Sea-level Response to Ice Sheet Evolution) and COMBINE (Comprehensive Modelling of the Earth System for Better Climate Prediction and Projection) efforts.

  16. Inclusive Design: Developing Students' Knowledge and Attitude through Empathic Modelling

    ERIC Educational Resources Information Center

    Altay, Burçak; Demirkan, Halime

    2014-01-01

    To enhance the function and quality of built environments, designers should consider all possible users in their design projects. Therefore, it is essential to incorporate inclusive design in the education of the design student. This study focuses on the educational objectives of and related learning activities in a course where inclusive design…

  17. Knowledge brokering on emissions modelling in Strategic Environmental Assessment of Estonian energy policy with special reference to the LEAP model

    SciTech Connect

    Kuldna, Piret; Peterson, Kaja; Kuhi-Thalfeldt, Reeli

    2015-09-15

    Strategic Environmental Assessment (SEA) serves as a platform for bringing together researchers, policy developers and other stakeholders to evaluate and communicate significant environmental and socio-economic effects of policies, plans and programmes. Quantitative computer models can facilitate knowledge exchange between various parties that strive to use scientific findings to guide policy-making decisions. The process of facilitating knowledge generation and exchange, i.e. knowledge brokerage, has been increasingly explored, but there is not much evidence in the literature on how knowledge brokerage activities are used in full cycles of SEAs which employ quantitative models. We report on the SEA process of the national energy plan with reflections on where and how the Long-range Energy Alternatives Planning (LEAP) model was used for knowledge brokerage on emissions modelling between researchers and policy developers. Our main suggestion is that applying a quantitative model not only in ex ante, but also ex post scenario modelling and associated impact assessment can facilitate systematic and inspiring knowledge exchange process on a policy problem and capacity building of participating actors. - Highlights: • We examine the knowledge brokering on emissions modelling between researchers and policy developers in a full cycle of SEA. • Knowledge exchange process can evolve at any modelling stage within SEA. • Ex post scenario modelling enables systematic knowledge exchange and learning on a policy problem.

  18. Suitability Analysis of Continuous-Use Reliability Growth Projection Models

    DTIC Science & Technology

    2015-03-26

    so a strict exponential distribu- tion was used to stay within their assumptions. In reality, however, reliability growth models often must be used...Suitability Analysis of Continuous-Use Reliability Growth Projection Models THESIS MARCH 2015 Benjamin R. Mayo, Captain, USAF AFIT-ENS-MS-15-M-120... GROWTH PROJECTION MODELS THESIS Presented to the Faculty Department of Operational Sciences Graduate School of Engineering and Management Air Force

  19. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    ERIC Educational Resources Information Center

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  20. The Importance and Weaknesses of the Productivist Industrial Model of Knowledge Production

    ERIC Educational Resources Information Center

    Persson, Roland S.

    2010-01-01

    To view contemporary Science as an industry is a very apt and timely stance. Ghassib's (2010) historical analysis of knowledge production, which he terms "A Productivist Industrial Model of Knowledge Production," is an interesting one. It is important, however, to observe that the outline of this model is based entirely on the production of…

  1. Extended risk-analysis model for activities of the project.

    PubMed

    Kušar, Janez; Rihar, Lidija; Zargi, Urban; Starbek, Marko

    2013-12-01

    Project management of product/service orders has become a mode of operation in many companies. Although these are mostly cyclically recurring projects, risk management is very important for them. An extended risk-analysis model for new product/service projects is presented in this paper. Emphasis is on a solution developed in the Faculty of Mechanical Engineering in Ljubljana, Slovenia. The usual project activities risk analysis is based on evaluation of the probability that risk events occur and on evaluation of their consequences. A third parameter has been added in our model: an estimate of the incidence of risk events. On the basis of the calculated activity risk level, a project team prepares preventive and corrective measures that should be taken according to the status indicators. An important advantage of the proposed solution is that the project manager and his team members are timely warned of risk events and they can thus activate the envisaged preventive and corrective measures as necessary.

  2. Resilience and Risk Competence in Schools: Theory/Knowledge and International Application in Project REBOUND

    ERIC Educational Resources Information Center

    Brown, Joel H.; Jean-Marie, Gaetane; Beck, Jerome

    2010-01-01

    Despite a 50-year interdisciplinary and longitudinal research legacy--showing that nearly 80% of young people considered most "at risk" thrive by midlife--only recently have practitioners/researchers engaged in the explicit, prospective facilitation of "resilience" in educational settings. Here, theory/knowledge distinguishing…

  3. Exploring the Relationships among Creativity, Engineering Knowledge, and Design Team Interaction on Senior Engineering Design Projects

    ERIC Educational Resources Information Center

    Ibrahim, Badaruddin

    2012-01-01

    In the 21st century, engineers are expected to be creative and work collaboratively in teams to solve or design new products. Research in the past has shown how creativity and good team communication, together with knowledge, can impact the outcomes in the organization. The purpose of this study was to explore the relationships among creativity,…

  4. Enlargement Futures Project: Expert Panel on Technology, Knowledge and Learning. Final Report.

    ERIC Educational Resources Information Center

    Gourova, Elissaveta; Ducatel, Ken; Gavigan, James; Scapolo, Fabiana; Di Pietrogiacomo, Paola

    The next 10 years provide an opportunity for the European Union (EU) to renew the science and technology (S&T) base and build necessary knowledge-society capacities and capabilities in Pre-Accession Countries (PACs). Applied research has faced a major downsize; redressing the balance in the research and development systems is urgently needed.…

  5. ITCOLE Project: Designing Innovative Technology for Collaborative Learning and Knowledge Building.

    ERIC Educational Resources Information Center

    Leinonen, Teemu; Hakkarainen, Kai; Appelt, Wolfgang; Dean, Philip; Gomez-Skarmetav, A.; Ligorio, Beatrice; Lipponen, Lasse; Merisaari, Samu; Pontecorvo, Clotilde; Sligte, Henk; Vosniadou, Stella

    The purpose of this paper is to describe the pedagogical background and design rationale of ITCOLE (Innovative Technology for Collaborative Learning) software. The ITCOLE software is a highly scalable and easy to use modular environment that supports students' joint efforts to build knowledge together, whether they are primary, secondary, or older…

  6. Evaluating Alcoholism and Drug Abuse Knowledge in Medical Education: A Collaborative Project.

    ERIC Educational Resources Information Center

    Griffin, John B., Jr.

    1983-01-01

    Medical students performed less well on examinations about drug abuse problems and patient management than on traditional medical board examinations. The best knowledge was of pharmacology of drug abuse, Alcoholics Anonymous, and treatment of delirium tremens. Students knew less about metabolic and biochemical areas, emergency-room treatment, and…

  7. Indigenous Knowledge in the Sciences and a Practical Application in the Super Saturday Project.

    ERIC Educational Resources Information Center

    Settee, Priscilla

    This paper reviews books and research papers concerned with Indigenous science knowledge and its integration into school curricula and describes current efforts to bridge Western and Native science. "A Yupiaq World View: Implications for Cultural, Educational and Technological Adaptation in a Contemporary World" (Angayuqaq Oscar…

  8. A knowledge based model of electric utility operations. Final report

    SciTech Connect

    1993-08-11

    This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.

  9. Indirect aerosol effect increases CMIP5 models projected Arctic warming

    SciTech Connect

    Chylek, Petr; Vogelsang, Timothy J.; Klett, James D.; Hengartner, Nicholas; Higdon, Dave; Lesins, Glen; Dubey, Manvendra K.

    2016-02-20

    Phase 5 of the Coupled Model Intercomparison Project (CMIP5) climate models’ projections of the 2014–2100 Arctic warming under radiative forcing from representative concentration pathway 4.5 (RCP4.5) vary from 0.9° to 6.7°C. Climate models with or without a full indirect aerosol effect are both equally successful in reproducing the observed (1900–2014) Arctic warming and its trends. However, the 2014–2100 Arctic warming and the warming trends projected by models that include a full indirect aerosol effect (denoted here as AA models) are significantly higher (mean projected Arctic warming is about 1.5°C higher) than those projected by models without a full indirect aerosol effect (denoted here as NAA models). The suggestion is that, within models including full indirect aerosol effects, those projecting stronger future changes are not necessarily distinguishable historically because any stronger past warming may have been partially offset by stronger historical aerosol cooling. In conclusion, the CMIP5 models that include a full indirect aerosol effect follow an inverse radiative forcing to equilibrium climate sensitivity relationship, while models without it do not.

  10. Indirect aerosol effect increases CMIP5 models projected Arctic warming

    DOE PAGES

    Chylek, Petr; Vogelsang, Timothy J.; Klett, James D.; ...

    2016-02-20

    Phase 5 of the Coupled Model Intercomparison Project (CMIP5) climate models’ projections of the 2014–2100 Arctic warming under radiative forcing from representative concentration pathway 4.5 (RCP4.5) vary from 0.9° to 6.7°C. Climate models with or without a full indirect aerosol effect are both equally successful in reproducing the observed (1900–2014) Arctic warming and its trends. However, the 2014–2100 Arctic warming and the warming trends projected by models that include a full indirect aerosol effect (denoted here as AA models) are significantly higher (mean projected Arctic warming is about 1.5°C higher) than those projected by models without a full indirect aerosolmore » effect (denoted here as NAA models). The suggestion is that, within models including full indirect aerosol effects, those projecting stronger future changes are not necessarily distinguishable historically because any stronger past warming may have been partially offset by stronger historical aerosol cooling. In conclusion, the CMIP5 models that include a full indirect aerosol effect follow an inverse radiative forcing to equilibrium climate sensitivity relationship, while models without it do not.« less

  11. 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).

  12. An Approach to Assess Knowledge and Skills in Risk Management through Project-Based Learning

    ERIC Educational Resources Information Center

    Galvao, Tulio Acacio Bandeira; Neto, Francisco Milton Mendes; Campos, Marcos Tullyo; Junior, Edson de Lima Cosme

    2012-01-01

    The increasing demand for Software Engineering professionals, particularly Project Managers, and popularization of the Web as a catalyst of human relations have made this platform interesting for training this type of professional. The authors have observed the widespread use of games as an attractive instrument in the process of teaching and…

  13. Causal trait theories: a new form of person knowledge that explains egocentric pattern projection.

    PubMed

    Critcher, Clayton R; Dunning, David; Rom, Sarah C

    2015-03-01

    Representations of the self and others include not only piecemeal traits but also causal trait theories-explanations for why a person's standing on 1 trait causes or is caused by standings on other traits (Studies 1a-1c). These causal theories help resolve the puzzle of egocentric pattern projection-the tendency for people to assume that traits correlate in the population in the same way they align in the self. Causal trait theories-created to explain trait co-occurrence in a single person-are exported to guide one's implicit personality theories about people in general (Study 2). Pattern projection was found to be largely egocentric (i.e., more strong guided by self- than by social perceptions) for 2 reasons. First, causal trait theories are more numerous for the self. When participants were prompted to generate causal trait theories about someone else, they pattern projected more from that person (Study 3). Second, causal trait theories about the self are more likely to draw on behavioral information from multiple contexts instead of merely seeking to explain why 2 traits co-occur in a single context. Causal trait theories based on trait-relevant behaviors from different contexts, instead of trait co-occurrence within a single context, produce more pattern projection (Study 4). Implications for self and social cognition are discussed.

  14. Integrating IS Curriculum Knowledge through a Cluster-Computing Project--A Successful Experiment

    ERIC Educational Resources Information Center

    Kitchens, Fred L.; Sharma, Sushil K.; Harris, Thomas

    2004-01-01

    MIS curricula in business schools are challenged to provide MIS courses that give students a strong practical understanding of the basic technologies, while also providing enough hands-on experience to solve real life problems. As an experimental capstone MIS course, the authors developed a cluster-computing project to expose business students to…

  15. Effects of an Interprofessional Project on Students' Perspectives on Interprofessional Education and Knowledge of Health Disciplines

    ERIC Educational Resources Information Center

    Jutte, Lisa S.; Browne, Fredrick R.; Reynolds, Marie

    2016-01-01

    Context: Interprofessional education (IPE) is encouraged in health care education in the hope that it will improve communication among future health care professionals. In response, health professional education programs are developing IPE curricula. Objective: To determine if a multicourse interprofessional (IP) project impacted students'…

  16. Prime the Pipeline Project (P[cube]): Putting Knowledge to Work

    ERIC Educational Resources Information Center

    Greenes, Carole; Wolfe, Susan; Weight, Stephanie; Cavanagh, Mary; Zehring, Julie

    2011-01-01

    With funding from NSF, the Prime the Pipeline Project (P[cube]) is responding to the need to strengthen the science, technology, engineering, and mathematics (STEM) pipeline from high school to college by developing and evaluating the scientific village strategy and the culture it creates. The scientific village, a community of high school…

  17. Understanding Ecology Content Knowledge and Acquiring Science Process Skills through Project-Based Science Instruction

    ERIC Educational Resources Information Center

    Colley, Kabba E.

    2006-01-01

    This activity discusses a two-day unit on ecology implemented during the summer of 2004 using the project-based science instructional (PBSI) approach. Through collaborative fieldwork, group discussions, presentations, and reflections, students planned, implemented, and reported their own scientific investigations on the environmental health of…

  18. AGSM Functional Fault Models for Fault Isolation Project

    NASA Technical Reports Server (NTRS)

    Harp, Janicce Leshay

    2014-01-01

    This project implements functional fault models to automate the isolation of failures during ground systems operations. FFMs will also be used to recommend sensor placement to improve fault isolation capabilities. The project enables the delivery of system health advisories to ground system operators.

  19. Advanced Ground Systems Maintenance Physics Models for Diagnostics Project

    NASA Technical Reports Server (NTRS)

    Harp, Janicce Leshay

    2014-01-01

    The project will use high-fidelity physics models and simulations to simulate real-time operations of cryogenic and systems and calculate the status/health of the systems. The project enables the delivery of system health advisories to ground system operators. The capability will also be used to conduct planning and analysis of cryogenic system operations.

  20. Improving Project Management Using Formal Models and Architectures

    NASA Technical Reports Server (NTRS)

    Kahn, Theodore; Sturken, Ian

    2011-01-01

    This talk discusses the advantages formal modeling and architecture brings to project management. These emerging technologies have both great potential and challenges for improving information available for decision-making. The presentation covers standards, tools and cultural issues needing consideration, and includes lessons learned from projects the presenters have worked on.

  1. A Knowledge-Based Representation Scheme for Environmental Science Models

    NASA Technical Reports Server (NTRS)

    Keller, Richard M.; Dungan, Jennifer L.; Lum, Henry, Jr. (Technical Monitor)

    1994-01-01

    One of the primary methods available for studying environmental phenomena is the construction and analysis of computational models. We have been studying how artificial intelligence techniques can be applied to assist in the development and use of environmental science models within the context of NASA-sponsored activities. We have identified several high-utility areas as potential targets for research and development: model development; data visualization, analysis, and interpretation; model publishing and reuse, training and education; and framing, posing, and answering questions. Central to progress on any of the above areas is a representation for environmental models that contains a great deal more information than is present in a traditional software implementation. In particular, a traditional software implementation is devoid of any semantic information that connects the code with the environmental context that forms the background for the modeling activity. Before we can build AI systems to assist in model development and usage, we must develop a representation for environmental models that adequately describes a model's semantics and explicitly represents the relationship between the code and the modeling task at hand. We have developed one such representation in conjunction with our work on the SIGMA (Scientists' Intelligent Graphical Modeling Assistant) environment. The key feature of the representation is that it provides a semantic grounding for the symbols in a set of modeling equations by linking those symbols to an explicit representation of the underlying environmental scenario.

  2. Knowledge-based model building of proteins: concepts and examples.

    PubMed Central

    Bajorath, J.; Stenkamp, R.; Aruffo, A.

    1993-01-01

    We describe how to build protein models from structural templates. Methods to identify structural similarities between proteins in cases of significant, moderate to low, or virtually absent sequence similarity are discussed. The detection and evaluation of structural relationships is emphasized as a central aspect of protein modeling, distinct from the more technical aspects of model building. Computational techniques to generate and complement comparative protein models are also reviewed. Two examples, P-selectin and gp39, are presented to illustrate the derivation of protein model structures and their use in experimental studies. PMID:7505680

  3. Using Storyboards to Integrate Models and Informal Design Knowledge

    NASA Astrophysics Data System (ADS)

    Haesen, Mieke; van den Bergh, Jan; Meskens, Jan; Luyten, Kris; Degrandsart, Sylvain; Demeyer, Serge; Coninx, Karin

    Model-driven development of user interfaces has become increasingly powerful in recent years. Unfortunately, model-driven approaches have the inherent limitation that they cannot handle the informal nature of some of the artifacts used in truly multidisciplinary user interface development such as storyboards, sketches, scenarios and personas. In this chapter, we present an approach and tool support for multidisciplinary user interface development bridging informal and formal artifacts in the design and development process. Key features of the approach are the usage of annotated storyboards, which can be connected to other models through an underlying meta-model, and cross-toolkit design support based on an abstract user interface model.

  4. Knowledge based and interactive control for the Superfluid Helium On-orbit Transfer Project

    NASA Technical Reports Server (NTRS)

    Castellano, Timothy P.; Raymond, Eric A.; Shapiro, Jeff C.; Robinson, Frank A.; Rosenthal, Donald A.

    1989-01-01

    NASA's Superfluid Helium On-Orbit Transfer (SHOOT) project is a Shuttle-based experiment designed to acquire data on the properties of superfluid helium in micro-gravity. Aft Flight Deck Computer Software for the SHOOT experiment is comprised of several monitoring programs which give the astronaut crew visibility into SHOOT systems and a rule based system which will provide process control, diagnosis and error recovery for a helium transfer without ground intervention. Given present Shuttle manifests, this software will become the first expert system to be used in space. The SHOOT Command and Monitoring System (CMS) software will provide a near real time highly interactive interface for the SHOOT principal investigator to control the experiment and to analyze and display its telemetry. The CMS software is targeted for all phases of the SHOOT project: hardware development, pre-flight pad servicing, in-flight operations, and post-flight data analysis.

  5. Final Project Report Load Modeling Transmission Research

    SciTech Connect

    Lesieutre, Bernard; Bravo, Richard; Yinger, Robert; Chassin, Dave; Huang, Henry; Lu, Ning; Hiskens, Ian; Venkataramanan, Giri

    2012-03-31

    The research presented in this report primarily focuses on improving power system load models to better represent their impact on system behavior. The previous standard load model fails to capture the delayed voltage recovery events that are observed in the Southwest and elsewhere. These events are attributed to stalled air conditioner units after a fault. To gain a better understanding of their role in these events and to guide modeling efforts, typical air conditioner units were testing in laboratories. Using data obtained from these extensive tests, new load models were developed to match air conditioner behavior. An air conditioner model is incorporated in the new WECC composite load model. These models are used in dynamic studies of the West and can impact power transfer limits for California. Unit-level and systemlevel solutions are proposed as potential solutions to the delayed voltage recovery problem.

  6. HEDR model validation plan. Hanford Environmental Dose Reconstruction Project

    SciTech Connect

    Napier, B.A.; Gilbert, R.O.; Simpson, J.C.; Ramsdell, J.V. Jr.; Thiede, M.E.; Walters, W.H.

    1993-06-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project has developed a set of computational ``tools`` for estimating the possible radiation dose that individuals may have received from past Hanford Site operations. This document describes the planned activities to ``validate`` these tools. In the sense of the HEDR Project, ``validation`` is a process carried out by comparing computational model predictions with field observations and experimental measurements that are independent of those used to develop the model.

  7. A Knowledge Matrix Modeling of the Intelligence Cycle

    DTIC Science & Technology

    2005-03-01

    Process, by modeling intelligence as an opportunistic, multi-source, multi-entity system of systems . The value of intelligence fusion is compared...network model , agencies would still have their own databases, but those databases would be searchable across agency lines. In this system , levels of...effort is to accurately model the flow of intelligence information through a multi-INT system and provide an output measure of total 1-3

  8. Automated knowledge generation

    NASA Technical Reports Server (NTRS)

    Myler, Harley R.; Gonzalez, Avelino J.

    1988-01-01

    The general objectives of the NASA/UCF Automated Knowledge Generation Project were the development of an intelligent software system that could access CAD design data bases, interpret them, and generate a diagnostic knowledge base in the form of a system model. The initial area of concentration is in the diagnosis of the process control system using the Knowledge-based Autonomous Test Engineer (KATE) diagnostic system. A secondary objective was the study of general problems of automated knowledge generation. A prototype was developed, based on object-oriented language (Flavors).

  9. How Can Clients Improve the Quality of Transport Infrastructure Projects? The Role of Knowledge Management and Incentives

    PubMed Central

    Warsame, Abukar; Borg, Lena; Lind, Hans

    2013-01-01

    The aim of this paper is to argue for a number of statements about what is important for a client to do in order to improve quality in new infrastructure projects, with a focus on procurement and organizational issues. The paper synthesizes theoretical and empirical results concerning organizational performance, especially the role of the client for the quality of a project. The theoretical framework used is contract theory and transaction cost theory, where assumptions about rationality and self-interest are made and where incentive problems, asymmetric information, and moral hazard are central concepts. It is argued that choice of procurement type will not be a crucial factor. There is no procurement method that guarantees a better quality than another. We argue that given the right conditions all procurement methods can give good results, and given the wrong conditions, all of them can lead to low quality. What is crucial is how the client organization manages knowledge and the incentives for the members of the organization. This can be summarized as “organizational culture.” One way to improve knowledge and create incentives is to use independent second opinions in a systematic way. PMID:24250274

  10. How can clients improve the quality of transport infrastructure projects? The role of knowledge management and incentives.

    PubMed

    Warsame, Abukar; Borg, Lena; Lind, Hans

    2013-01-01

    The aim of this paper is to argue for a number of statements about what is important for a client to do in order to improve quality in new infrastructure projects, with a focus on procurement and organizational issues. The paper synthesizes theoretical and empirical results concerning organizational performance, especially the role of the client for the quality of a project. The theoretical framework used is contract theory and transaction cost theory, where assumptions about rationality and self-interest are made and where incentive problems, asymmetric information, and moral hazard are central concepts. It is argued that choice of procurement type will not be a crucial factor. There is no procurement method that guarantees a better quality than another. We argue that given the right conditions all procurement methods can give good results, and given the wrong conditions, all of them can lead to low quality. What is crucial is how the client organization manages knowledge and the incentives for the members of the organization. This can be summarized as "organizational culture." One way to improve knowledge and create incentives is to use independent second opinions in a systematic way.

  11. NASA/DOD Aerospace Knowledge Diffusion Research Project. A Comparison of the Technical Communication Practices of Aerospace Engineers and Scientists in India and the United States

    DTIC Science & Technology

    1993-09-01

    34The NASA/DoD Aerospace Knowledge Diffusion Research Project." Government Information Quarterly 8:2 (1991): 219-233. 35 APPENDIX A AEROSPACE KNOWLEDGE... Government Information Quarterly , Volume 8, No. 2 (1991): 219-233. (Available from AIAA 91A35455.) 1 1 Pinelli, Thomas E. and John M. Kennedy. The

  12. User requirements rating and knowledge-level of general practitioners at the start of CholGate - a lipid management decision support project.

    PubMed

    van Wyk, Jacobus T; van Wijk, Marc A; Moorman, Peter W; Mosseveld, Mees; van der Lei, Johan

    2005-01-01

    In the CholGate project we performed a preliminary study evaluating user requirements and knowledge level on lipid management in 40 primary care practices in The Netherlands. Practitioners rated speed, usability and completeness as important. We hope to show that the knowledge level of physicians regarding lipid management can be passively increased from its current levels by an integrated decision support system.

  13. A Real-World Network Modeling Project

    DTIC Science & Technology

    2014-02-12

    flows, mini- mum cost flows, multi-commodity flows, stochastic models, and perhaps multi-objective models. The students can then think about their...few questions of the homework assignment ask the students to compute the optimal escape route for the drug lord, and look at it on a map to see if it...results. The homework assignments then ask the students to adjust the model so that the drug smuggler is not computing the shortest escape route , but

  14. Further thoughts on simplicity and complexity in population projection models.

    PubMed

    Smith, S K

    1997-12-01

    "This article is a review of--and response to--a special issue of Mathematical Population Studies that focused on the relative performance of simpler vs. more complex population projection models. I do not attempt to summarize or comment on each of the articles in the special issue, but rather present an additional perspective on several points: definitions of simplicity and complexity, empirical evidence regarding population forecast accuracy, the costs and benefits of disaggregation, the potential benefits of combining forecasts, criteria for evaluating projection models, and issues of economic efficiency in the production of population projections."

  15. Incorporating qualitative knowledge in enzyme kinetic models using fuzzy logic.

    PubMed

    Lee, B; Yen, J; Yang, L; Liao, J C

    1999-03-20

    Modeling of metabolic pathway dynamics requires detailed kinetic equations at the enzyme level. In particular, the kinetic equations must account for metabolite effectors that contribute significantly to the pathway regulation in vivo. Unfortunately, most kinetic rate laws available in the literature do not consider all the effectors simultaneously, and much kinetic information exists in a qualitative or semiquantitative form. In this article, we present a strategy to incorporate such information into the kinetic equation. This strategy uses fuzzy logic-based factors to modify algebraic rate laws that account for partial kinetic characteristics. The parameters introduced by the fuzzy factors are then optimized by use of a hybrid of simplex and genetic algorithms. The resulting model provides a flexible form that can simulate various kinetic behaviors. Such kinetic models are suitable for pathway modeling without complete enzyme mechanisms. Three enzymes in Escherichia coli central metabolism are used as examples: phosphoenolpyruvate carboxylase; phosphoenolpyruvate carboxykinase; and pyruvate kinase I. Results show that, with fuzzy logic-augmented models, the kinetic data can be much better described. In particular, complex behavior, such as allosteric inhibition, can be captured using fuzzy rules. The resulting models, even though they do not provide additional physical meaning in enzyme mechanisms, allow the model to incorporate semiquantitative information in metabolic pathway models.

  16. A Knowledge Discovery from POS Data using State Space Models

    NASA Astrophysics Data System (ADS)

    Sato, Tadahiko; Higuchi, Tomoyuki

    The number of competing-brands changes by new product's entry. The new product introduction is endemic among consumer packaged goods firm and is an integral component of their marketing strategy. As a new product's entry affects markets, there is a pressing need to develop market response model that can adapt to such changes. In this paper, we develop a dynamic model that capture the underlying evolution of the buying behavior associated with the new product. This extends an application of a dynamic linear model, which is used by a number of time series analyses, by allowing the observed dimension to change at some point in time. Our model copes with a problem that dynamic environments entail: changes in parameter over time and changes in the observed dimension. We formulate the model with framework of a state space model. We realize an estimation of the model using modified Kalman filter/fixed interval smoother. We find that new product's entry (1) decreases brand differentiation for existing brands, as indicated by decreasing difference between cross-price elasticities; (2) decreases commodity power for existing brands, as indicated by decreasing trend; and (3) decreases the effect of discount for existing brands, as indicated by a decrease in the magnitude of own-brand price elasticities. The proposed framework is directly applicable to other fields in which the observed dimension might be change, such as economic, bioinformatics, and so forth.

  17. The MY NASA DATA Project: Tools and a Collaboration Space for Knowledge Discovery

    NASA Astrophysics Data System (ADS)

    Chambers, L. H.; Alston, E. J.; Diones, D. D.; Moore, S. W.; Oots, P. C.; Phelps, C. S.

    2006-05-01

    The Atmospheric Science Data Center (ASDC) at NASA Langley Research Center is charged with serving a wide user community that is interested in its large data holdings in the areas of Aerosols, Clouds, Radiation Budget, and Tropospheric Chemistry. Most of the data holdings, however, are in large files with specialized data formats. The MY NASA DATA (mynasadata.larc.nasa.gov) project began in 2004, as part of the NASA Research, Education, and Applications Solutions Network (REASoN), in order to open this important resource to a broader community including K-12 education and citizen scientists. MY NASA DATA (short for Mentoring and inquirY using NASA Data on Atmospheric and earth science for Teachers and Amateurs) consists of a web space that collects tools, lesson plans, and specially developed documentation to help the target audience more easily use the vast collection of NASA data about the Earth System. The core piece of the MY NASA DATA project is the creation of microsets (both static and custom) that make data easily accessible. The installation of a Live Access Server (LAS) greatly enhanced the ability for teachers, students, and citizen scientists to create and explore custom microsets of Earth System Science data. The LAS, which is an open source software tool using emerging data standards, also allows the MY NASA DATA team to make available data on other aspects of the Earth System from collaborating data centers. We are currently working with the Physical Oceanography DAAC at the Jet Propulsion Laboratory to bring in several parameters describing the ocean. In addition, MY NASA DATA serves as a central space for the K-12 community to share resources. The site already includes a dozen User-contributed lesson plans. This year we will be focusing on the Citizen Science portion of the site, and will be welcoming user-contributed project ideas, as well as reports of completed projects. An e-mentor network has also been created to involve a wider community in

  18. Interrelationship of Knowledge, Interest, and Recall: Assessing a Model of Domain Learning.

    ERIC Educational Resources Information Center

    Alexander, Patricia A.; And Others

    1995-01-01

    Two experiments involving 125 college and graduate students examined the interrelationship of subject-matter knowledge, interest, and recall in the field of human immunology and biology and assessed cross-domain performance in physics. Patterns of knowledge, interest, and performance fit well with the premises of the Model of Domain Learning. (SLD)

  19. Putting TPACK on the Radar: A Visual Quantitative Model for Tracking Growth of Essential Teacher Knowledge

    ERIC Educational Resources Information Center

    Colvin, Julien C.; Tomayko, Ming C.

    2015-01-01

    Since Mishra and Koehler's (2006) description of technological pedagogical content knowledge (also known as TPACK), scholars have analyzed the various paths preservice and in-service teachers can take to develop their knowledge in each of the subdomains. However, the model of the overall framework can be confusing to teachers, as Venn diagrams are…

  20. Vocabulary and Grammar Knowledge in Second Language Reading Comprehension: A Structural Equation Modeling Study

    ERIC Educational Resources Information Center

    Zhang, Dongbo

    2012-01-01

    Using structural equation modeling analysis, this study examined the contribution of vocabulary and grammatical knowledge to second language reading comprehension among 190 advanced Chinese English as a foreign language learners. Vocabulary knowledge was measured in both breadth (Vocabulary Levels Test) and depth (Word Associates Test);…

  1. A Conceptual Model for Teaching Critical Thinking in a Knowledge Economy

    ERIC Educational Resources Information Center

    Chadwick, Clifton

    2011-01-01

    Critical thinking, viewed as rational and analytic thinking, is crucial for participation in a knowledge economy and society. This article provides a brief presentation of the importance of teaching critical thinking in a knowledge economy; suggests a conceptual model for teaching thinking; examines research on the historical role of teachers in…

  2. Toward a Model of Embodied Environmental Education: Perspectives from Theatre and Indigenous Knowledges

    ERIC Educational Resources Information Center

    Lane, Julia

    2012-01-01

    This paper suggests a model of embodied environmental education grounded in participant interviews, fieldwork, scholarly literature, and the author's own embodied relationship with the natural world. In this article, embodiment refers to a process that stems from Indigenous Knowledges and theatre. Although Indigenous Knowledges and theatre…

  3. Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?

    ERIC Educational Resources Information Center

    Ghassib, Hisham B.

    2010-01-01

    The basic premise of this paper is the fact that science has become a major industry: the knowledge industry. The paper throws some light on the reasons for the transformation of science from a limited, constrained and marginal craft into a major industry. It, then, presents a productivist industrial model of knowledge production, which shows its…

  4. National Models for Continuing Professional Development: The Challenges of Twenty-First-Century Knowledge Management

    ERIC Educational Resources Information Center

    Leask, Marilyn; Younie, Sarah

    2013-01-01

    If teacher quality is the most critical factor in improving educational outcomes, then why is so little attention drawn to the knowledge and evidence base available to support teachers in improving the quality of their professional knowledge? This paper draws together findings from a range of sources to propose national models for continuing…

  5. The Transfer of Content Knowledge in a Cascade Model of Professional Development

    ERIC Educational Resources Information Center

    Turner, Fay; Brownhill, Simon; Wilson, Elaine

    2017-01-01

    A cascade model of professional development presents a particular risk that "knowledge" promoted in a programme will be diluted or distorted as it passes from originators of the programme to local trainers and then to the target teachers. Careful monitoring of trainers' and teachers' knowledge as it is transferred through the system is…

  6. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 27: Knowledge diffusion and US government technology policy: Issues and opportunities for sci/tech librarians

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Hannah, Stan; Lawrence, Barbara; Kennedy, John M.

    1992-01-01

    Federal involvement in simulating economic growth through the development and application of technology policy is currently the subject of serious debate. A recession and the recognition that an internationally competitive economy is a prerequisite for the attainment of national goals have fostered a number of technology policy initiatives aimed at improving the economic competitiveness of American industry. This paper suggests that the successful implementation of U.S. technology policy will require the adoption of a knowledge diffusion model, the development of user oriented information products and services, and a more 'activist' approach on the part of sci/tech librarians in the provision of scientific and technical information (STI). These changes will have a dramatic impact on the sci/tech library of the future and the preparation of sci/tech librarians.

  7. NASA/DoD Aerospace Knowledge Diffusion Research Project. XXVII - Knowledge diffusion and U.S. government technology policy: Issues and opportunities for sci/tech librarians

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Hannah, Stan; Lawrence, Barbara; Kennedy, John M.

    1992-01-01

    Federal involvement in stimulating economic growth through the development and application of technology policy is currently the subject of serious debate. A recession and the recognition that an internationally competitive economy is a prerequisite for the attainment of national goals have fostered a number of technology policy initiatives aimed at improving the economic competitiveness of American industry. This paper suggests that the successful implementation of U.S. technology policy will require the adoption of a knowledge diffusion model, the development of user oriented information products and services, and a more 'activist' approach on the part of sci/tech librarians in the provision of scientific and technical information (STI). These changes will have a dramatic impact on the sci/tech library of the future and the preparation of sci/tech librarians.

  8. Educating the Community: A Watershed Model Project.

    ERIC Educational Resources Information Center

    Perryess, C. S.

    2001-01-01

    Focuses on the construction and use of a schoolyard model of the Morrow Bay watershed in California. Describes the design and use of materials that include styrofoam insulation, crushed granite, cement, and stucco. (DDR)

  9. Research and Development Project Prioritization - Computer Model

    DTIC Science & Technology

    1980-04-01

    ble pwm .-ezts or- for aggregvationr of noltinle criteri an-k ordered reqoirenments for- procdzcts. priorities. o) Reducd length lists (dowcn to C...Quantities of 50 and 51 respectively were reduced one each, without loss of generalization , to permit model computation. 69 -A- TABLE 5. (CONcLUDED) Case 10...strived examples from the literature. The model then was and generally failed to i6nd aggregation methods that demonstrated for an extensive R & D

  10. The MIKS (Member Integrated Knowledge System) Model: A Visualization of the Individual Organizational Member's Role When a Knowledge Management System Is Utilized in the Learning Organization

    ERIC Educational Resources Information Center

    Grobmeier, Cynthia

    2007-01-01

    Relating knowledge management (KM) case studies in various organizational contexts to existing theoretical constructs of learning organizations, a new model, the MIKS (Member Integrated Knowledge System) Model is proposed to include the role of the individual in the process. Their degree of motivation as well as communication and learning…

  11. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper Sixty Eight, Who is Managing Knowledge? The Implications for Knowledge Production and Management of Global Strategic Alliances in Knowledge-Dependent Industries

    DTIC Science & Technology

    1998-03-01

    Policy, and Economic Performance." pp. 1-55 in Shaping Comparative Ad- vantage, ed. R.G. Lipsey and W. Dobson, Policy Study No. 2. Toronto, CN: Howe...world. Indeed, some economic histo- rians aver that technological innovation, not trade, is the engine to economic growth (see, e.g., Lewis, 1978...alliances (GSAs) in a number of knowledge-dependent firms has created a new and complex dynamic interaction among technology, economics , politics

  12. CmapTools: A Software Environment for Knowledge Modeling and Sharing

    NASA Technical Reports Server (NTRS)

    Canas, Alberto J.

    2004-01-01

    In an ongoing collaborative effort between a group of NASA Ames scientists and researchers at the Institute for Human and Machine Cognition (IHMC) of the University of West Florida, a new version of CmapTools has been developed that enable scientists to construct knowledge models of their domain of expertise, share them with other scientists, make them available to anybody on the Internet with access to a Web browser, and peer-review other scientists models. These software tools have been successfully used at NASA to build a large-scale multimedia on Mars and in knowledge model on Habitability Assessment. The new version of the software places emphasis on greater usability for experts constructing their own knowledge models, and support for the creation of large knowledge models with large number of supporting resources in the forms of images, videos, web pages, and other media. Additionally, the software currently allows scientists to cooperate with each other in the construction, sharing and criticizing of knowledge models. Scientists collaborating from remote distances, for example researchers at the Astrobiology Institute, can concurrently manipulate the knowledge models they are viewing without having to do this at a special videoconferencing facility.

  13. Utilitarian Model of Measuring Confidence within Knowledge-Based Societies

    ERIC Educational Resources Information Center

    Jack, Brady Michael; Hung, Kuan-Ming; Liu, Chia Ju; Chiu, Houn Lin

    2009-01-01

    This paper introduces a utilitarian confidence testing statistic called Risk Inclination Model (RIM) which indexes all possible confidence wagering combinations within the confines of a defined symmetrically point-balanced test environment. This paper presents the theoretical underpinnings, a formal derivation, a hypothetical application, and…

  14. Generating a mortality model from a pediatric ICU (PICU) database utilizing knowledge discovery.

    PubMed Central

    Kennedy, Curtis E.; Aoki, Noriaki

    2002-01-01

    Current models for predicting outcomes are limited by biases inherent in a priori hypothesis generation. Knowledge discovery algorithms generate models directly from databases, minimizing such limitations. Our objective was to generate a mortality model from a PICU database utilizing knowledge discovery techniques. The database contained 5067 records with 192 clinically relevant variables. It was randomly split into training (75%) and validation (25%) groups. We used decision tree induction to generate a mortality model from the training data, and validated its performance on the validation data. The original PRISM algorithm was used for comparison. The decision tree model contained 25 variables and predicted 53/88 deaths; 29 correctly (Sens:33%, Spec:98%, PPV:54%). PRISM predicted 27/88 deaths correctly (Sens:30%, Spec:98%, PPV:51%). Performance difference between models was not significant. We conclude that knowledge discovery algorithms can generate a mortality model from a PICU database, helping establish validity of such tools in the clinical medical domain. PMID:12463850

  15. Public and expert collaborative evaluation model and algorithm for enterprise knowledge

    NASA Astrophysics Data System (ADS)

    Le, Chengyi; Gu, Xinjian; Pan, Kai; Dai, Feng; Qi, Guoning

    2013-08-01

    Knowledge is becoming the most important resource for more and more enterprises and increases exponentially, but there is not an effective method to evaluate them cogently. Based on Web2.0, this article firstly builds an enterprise knowledge sharing model. Synthetically taking the advantage of the convenience and low cost in public evaluation and of the specialty in peer review, a public and expert collaborative evaluation (PECE) model and algorithm for enterprise knowledge are put forward. Through analyzing interaction between user's domain weights and scores of knowledge points, the PECE model and algorithm serve to recognise valuable knowledge and domain experts efficiently and therefore improve ordering and utilisation of knowledge. This article also studies malicious and casual evaluation from users and a method is proposed to update user's domain weights. Finally, a case of knowledge sharing system for amanufacturing enterprise is developed and realised. User's behaviour of publishing and evaluating knowledge is simulated and then analysed to verify the feasibility of PECE algorithm based on the system.

  16. Ensemble of regional climate model projections for Ireland

    NASA Astrophysics Data System (ADS)

    Nolan, Paul; McGrath, Ray

    2016-04-01

    The method of Regional Climate Modelling (RCM) was employed to assess the impacts of a warming climate on the mid-21st-century climate of Ireland. The RCM simulations were run at high spatial resolution, up to 4 km, thus allowing a better evaluation of the local effects of climate change. Simulations were run for a reference period 1981-2000 and future period 2041-2060. Differences between the two periods provide a measure of climate change. To address the issue of uncertainty, a multi-model ensemble approach was employed. Specifically, the future climate of Ireland was simulated using three different RCMs, driven by four Global Climate Models (GCMs). To account for the uncertainty in future emissions, a number of SRES (B1, A1B, A2) and RCP (4.5, 8.5) emission scenarios were used to simulate the future climate. Through the ensemble approach, the uncertainty in the RCM projections can be partially quantified, thus providing a measure of confidence in the predictions. In addition, likelihood values can be assigned to the projections. The RCMs used in this work are the COnsortium for Small-scale MOdeling-Climate Limited-area Modelling (COSMO-CLM, versions 3 and 4) model and the Weather Research and Forecasting (WRF) model. The GCMs used are the Max Planck Institute's ECHAM5, the UK Met Office's HadGEM2-ES, the CGCM3.1 model from the Canadian Centre for Climate Modelling and the EC-Earth consortium GCM. The projections for mid-century indicate an increase of 1-1.6°C in mean annual temperatures, with the largest increases seen in the east of the country. Warming is enhanced for the extremes (i.e. hot or cold days), with the warmest 5% of daily maximum summer temperatures projected to increase by 0.7-2.6°C. The coldest 5% of night-time temperatures in winter are projected to rise by 1.1-3.1°C. Averaged over the whole country, the number of frost days is projected to decrease by over 50%. The projections indicate an average increase in the length of the growing season

  17. Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

    PubMed

    Quinn, Jamie M; Wagner, Richard K; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed.

  18. Developmental Relations Between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    PubMed Central

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2014-01-01

    The present study followed a sample of first grade students (N = 316, mean age = 7.05 at first test) through fourth grade to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed. PMID:25201552

  19. Effect of Modeling Instruction on Concept Knowledge Among Ninth Grade Physics Students

    NASA Astrophysics Data System (ADS)

    Ditmore, Devin Alan

    A basic knowledge of physics concepts is the gateway to success through high-paying careers in science, technology, engineering, and mathematics (STEM). Many students show little understanding of concepts following traditional physics instruction. As an alternative to current lecture-based approaches for high school physics instruction, Piaget's theory of cognitive development supports using real scientific experiences to lead learners from concrete to formal understanding of complex concepts. Modeling instruction (MI) is a pedagogy that guides learners through genuine scientific experiences. This project study analyzed the effects of MI on 9th grade physics students' gains on the test measuring mastery of physics concepts, Force Concept Inventory (FCI). A quasi-experimental design was used to compare the FCI scores of a traditional lecture-taught control group to a treatment group taught using MI. A t test t(-.201) = 180.26, p = .841 comparing the groups and an analysis of variance F(2,181) = 5.20 comparing female to male students indicated MI had no significant positive effect on students. A partial eta squared of the effect size showed that 5.4% of the variance in FCI gains was accounted for by gender, favoring female participants for both groups. The significant relationship between content and gender bears further inquiry. A lesson plan guide was designed to help teachers use computer simulation technology within the MI curriculum. The project promotes positive social change by exploring further ways to help adolescents experience success in physics at the beginning of high school, leading to future success in all STEM areas.

  20. Pursuing common agendas: a collaborative model for knowledge translation between research and practice in clinical settings.

    PubMed

    Baumbusch, Jennifer L; Kirkham, Sheryl Reimer; Khan, Koushambhi Basu; McDonald, Heather; Semeniuk, Pat; Tan, Elsie; Anderson, Joan M

    2008-04-01

    There is an emerging discourse of knowledge translation that advocates a shift away from unidirectional research utilization and evidence-based practice models toward more interactive models of knowledge transfer. In this paper, we describe how our participatory approach to knowledge translation developed during an ongoing program of research concerning equitable care for diverse populations. At the core of our approach is a collaborative relationship between researchers and practitioners, which underpins the knowledge translation cycle, and occurs simultaneously with data collection/analysis/synthesis. We discuss lessons learned including: the complexities of translating knowledge within the political landscape of healthcare delivery, the need to negotiate the agendas of researchers and practitioners in a collaborative approach, and the kinds of resources needed to support this process.

  1. Gulf of Mexico numerical model. Project summary

    SciTech Connect

    Blumberg, A. F.; Mellor, G. L.; Herring, H. J.

    1981-02-01

    An efficient three-dimensional, time dependent prognostic model of the Gulf of Mexico has been developed. The model is driven by winds and surface heat flux derived from climatological, atmospheric surface data, the result of an intensive data analysis study. Mean velocity, temperature, salinity, turbulence kinetic energy and turbulence macroscale are the prognostic variables. Lateral boundary conditions for temperature and salinity and geostrophically derived velocity at the Straits of Yucatan and Florida are obtained from climatological ocean data. An analytical second moment turbulence closure scheme embedded within the model provides realistic surface mixed layer dynamics. Free surface elevation distributions are calculated with an algorithm which calculates the external (tidal) mode separately from the internal mode. The external mode, an essentially two-dimensional calculation, requires a short integrating timestep whereas the more costly, three-dimensional, internal mode can be executed with a long step. The result is a fully three-dimensional code which includes a free surface at no sacrifice in computer cost compared to rigid lid models.

  2. The Model Industrial Technology Systems Project.

    ERIC Educational Resources Information Center

    Bowling Green State Univ., OH.

    This document contains materials used in a model industrial technology program that introduced technology into the curricula of elementary, middle, and high schools in three sites in Ohio: the Central site (coordinated through Ohio State University); the Northeast site (coordinated through Kent State University); and the Northwest site…

  3. Post-processing of multi-hydrologic model simulations for improved streamflow projections

    NASA Astrophysics Data System (ADS)

    khajehei, sepideh; Ahmadalipour, Ali; Moradkhani, Hamid

    2016-04-01

    Hydrologic model outputs are prone to bias and uncertainty due to knowledge deficiency in model and data. Uncertainty in hydroclimatic projections arises due to uncertainty in hydrologic model as well as the epistemic or aleatory uncertainties in GCM parameterization and development. This study is conducted to: 1) evaluate the recently developed multi-variate post-processing method for historical simulations and 2) assess the effect of post-processing on uncertainty and reliability of future streamflow projections in both high-flow and low-flow conditions. The first objective is performed for historical period of 1970-1999. Future streamflow projections are generated for 10 statistically downscaled GCMs from two widely used downscaling methods: Bias Corrected Statistically Downscaled (BCSD) and Multivariate Adaptive Constructed Analogs (MACA), over the period of 2010-2099 for two representative concentration pathways of RCP4.5 and RCP8.5. Three semi-distributed hydrologic models were employed and calibrated at 1/16 degree latitude-longitude resolution for over 100 points across the Columbia River Basin (CRB) in the pacific northwest USA. Streamflow outputs are post-processed through a Bayesian framework based on copula functions. The post-processing approach is relying on a transfer function developed based on bivariate joint distribution between the observation and simulation in historical period. Results show that application of post-processing technique leads to considerably higher accuracy in historical simulations and also reducing model uncertainty in future streamflow projections.

  4. Bootstrapping Critical Ising Model on Three Dimensional Real Projective Space.

    PubMed

    Nakayama, Yu

    2016-04-08

    Given conformal data on a flat Euclidean space, we use crosscap conformal bootstrap equations to numerically solve the Lee-Yang model as well as the critical Ising model on a three dimensional real projective space. We check the rapid convergence of our bootstrap program in two dimensions from the exact solutions available. Based on the comparison, we estimate that our systematic error on the numerically solved one-point functions of the critical Ising model on a three dimensional real projective space is less than 1%. Our method opens up a novel way to solve conformal field theories on nontrivial geometries.

  5. Development and application of new quality model for software projects.

    PubMed

    Karnavel, K; Dillibabu, R

    2014-01-01

    The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects.

  6. Development and Application of New Quality Model for Software Projects

    PubMed Central

    Karnavel, K.; Dillibabu, R.

    2014-01-01

    The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects. PMID:25478594

  7. Feasibility Study of a Knowledge Based Finite Element Modeling Assistant.

    DTIC Science & Technology

    1988-02-01

    girders interact with floor slabs, the ways in which an inside core interacts with outside frames, or the ways ini which two beams on top of each other...hierarchically decomposed into descriptions in two orthogonal directions (e.g, frames, walls), and then into components (e.g, beams , columns... diagonals ). The top level gravity description representing the alternate overall gravity functional models (e.g., one-way reinforced concrete slab, two way

  8. Photograph of model projected new hospital building and new landscaping ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Photograph of model projected new hospital building and new landscaping for area north of building 500. Model displayed on the mezzanine level of building 500. - Fitzsimons General Hospital, Bounded by East Colfax to south, Peoria Street to west, Denver City/County & Adams County Line to north, & U.S. Route 255 to east, Aurora, Adams County, CO

  9. Knowledge-oriented semantics modelling towards uncertainty reasoning.

    PubMed

    Mohammed, Abdul-Wahid; Xu, Yang; Liu, Ming

    2016-01-01

    Distributed reasoning in M2M leverages the expressive power of ontology to enable semantic interoperability between heterogeneous systems of connected devices. Ontology, however, lacks the built-in, principled support to effectively handle the uncertainty inherent in M2M application domains. Thus, efficient reasoning can be achieved by integrating the inferential reasoning power of probabilistic representations with the first-order expressiveness of ontology. But there remains a gap with current probabilistic ontologies since state-of-the-art provides no compatible representation for simultaneous handling of discrete and continuous quantities in ontology. This requirement is paramount, especially in smart homes, where continuous quantities cannot be avoided, and simply mapping continuous information to discrete states through quantization can cause a great deal of information loss. In this paper, we propose a hybrid probabilistic ontology that can simultaneously handle distributions over discrete and continuous quantities in ontology. We call this new framework HyProb-Ontology, and it specifies distributions over properties of classes, which serve as templates for instances of classes to inherit as well as overwrite some aspects. Since there cannot be restriction on the dependency topology of models that HyProb-Ontology can induce across different domains, we can achieve a unified Ground Hybrid Probabilistic Model by conditional Gaussian fuzzification of the distributions of the continuous variables in ontology. From the results of our experiments, this unified model can achieve exact inference with better performance over classical Bayesian networks.

  10. Cacao Intensification in Sulawesi: A Green Prosperity Model Project

    SciTech Connect

    Moriarty, K.; Elchinger, M.; Hill, G.; Katz, J.; Barnett, J.

    2014-09-01

    NREL conducted eight model projects for Millennium Challenge Corporation's (MCC) Compact with Indonesia. Green Prosperity, the largest project of the Compact, seeks to address critical constraints to economic growth while supporting the Government of Indonesia's commitment to a more sustainable, less carbon-intensive future. This study evaluates techniques to improve cacao farming in Sulawesi Indonesia with an emphasis on Farmer Field Schools and Cocoa Development Centers to educate farmers and for train the trainer programs. The study estimates the economic viability of cacao farming if smallholder implement techniques to increase yield as well as social and environmental impacts of the project.

  11. Process consistency in models: The importance of system signatures, expert knowledge, and process complexity

    NASA Astrophysics Data System (ADS)

    Hrachowitz, M.; Fovet, O.; Ruiz, L.; Euser, T.; Gharari, S.; Nijzink, R.; Freer, J.; Savenije, H. H. G.; Gascuel-Odoux, C.

    2014-09-01

    Hydrological models frequently suffer from limited predictive power despite adequate calibration performances. This can indicate insufficient representations of the underlying processes. Thus, ways are sought to increase model consistency while satisfying the contrasting priorities of increased model complexity and limited equifinality. In this study, the value of a systematic use of hydrological signatures and expert knowledge for increasing model consistency was tested. It was found that a simple conceptual model, constrained by four calibration objective functions, was able to adequately reproduce the hydrograph in the calibration period. The model, however, could not reproduce a suite of hydrological signatures, indicating a lack of model consistency. Subsequently, testing 11 models, model complexity was increased in a stepwise way and counter-balanced by "prior constraints," inferred from expert knowledge to ensure a model which behaves well with respect to the modeler's perception of the system. We showed that, in spite of unchanged calibration performance, the most complex model setup exhibited increased performance in the independent test period and skill to better reproduce all tested signatures, indicating a better system representation. The results suggest that a model may be inadequate despite good performance with respect to multiple calibration objectives and that increasing model complexity, if counter-balanced by prior constraints, can significantly increase predictive performance of a model and its skill to reproduce hydrological signatures. The results strongly illustrate the need to balance automated model calibration with a more expert-knowledge-driven strategy of constraining models.

  12. ISI-MIP: The Inter-Sectoral Impact Model Intercomparison Project

    NASA Astrophysics Data System (ADS)

    Huber, V.; Dahlemann, S.; Frieler, K.; Piontek, F.; Schewe, J.; Serdeczny, O.; Warszawski, L.

    2013-12-01

    The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) aims to synthesize the state-of-the-art knowledge of climate change impacts at different levels of global warming. The project's experimental design is formulated to distinguish the uncertainty introduced by the impact models themselves, from the inherent uncertainty in the climate projections and the variety of plausible socio-economic futures. The unique cross-sectoral scope of the project provides the opportunity to study cascading effects of impacts in interacting sectors and to identify regional 'hot spots' where multiple sectors experience extreme impacts. Another emphasis lies on the development of novel metrics to describe societal impacts of a warmer climate. We briefly outline the methodological framework, and then present selected results of the first, fast-tracked phase of ISI-MIP. The fast track brought together 35 global impact models internationally, spanning five sectors across human society and the natural world (agriculture, water, natural ecosystems, health and coastal infrastructure), and using the latest generation of global climate simulations (RCP projections from the CMIP5 archive) and socioeconomic drivers provided within the SSP process. We also introduce the second phase of the project, which will enlarge the scope of ISI-MIP by encompassing further impact sectors (e.g., forestry, fisheries, permafrost) and regional modeling approaches. The focus for the next round of simulations will be the validation and improvement of models based on historical observations and the analysis of variability and extreme events. Last but not least, we discuss the longer-term objective of ISI-MIP to initiate a coordinated, ongoing impact assessment process, driven by the entire impact community and in parallel with well-established climate model intercomparisons (CMIP).

  13. How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis

    ERIC Educational Resources Information Center

    Gong, Yue; Beck, Joseph E.; Heffernan, Neil T.

    2011-01-01

    Student modeling is a fundamental concept applicable to a variety of intelligent tutoring systems (ITS). However, there is not a lot of practical guidance on how to construct and train such models. This paper compares two approaches for student modeling, Knowledge Tracing (KT) and Performance Factors Analysis (PFA), by evaluating their predictive…

  14. Model-based formalization of medical knowledge for context-aware assistance in laparoscopic surgery

    NASA Astrophysics Data System (ADS)

    Katić, Darko; Wekerle, Anna-Laura; Gärtner, Fabian; Kenngott, Hannes G.; Müller-Stich, Beat P.; Dillmann, Rüdiger; Speidel, Stefanie

    2014-03-01

    The increase of technological complexity in surgery has created a need for novel man-machine interaction techniques. Specifically, context-aware systems which automatically adapt themselves to the current circumstances in the OR have great potential in this regard. To create such systems, models of surgical procedures are vital, as they allow analyzing the current situation and assessing the context. For this purpose, we have developed a Surgical Process Model based on Description Logics. It incorporates general medical background knowledge as well as intraoperatively observed situational knowledge. The representation consists of three parts: the Background Knowledge Model, the Preoperative Process Model and the Integrated Intraoperative Process Model. All models depend on each other and create a concise view on the surgery. As a proof of concept, we applied the system to a specific intervention, the laparoscopic distal pancreatectomy.

  15. NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 7:Summary report to phase 2 respondents including frequency distributions

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; White, Terry F.

    1991-01-01

    Phase 2 of the four phase NASA/DoD Aerospace Knowledge Diffusion Research Project was undertaken to study the transfer of scientific and technical information (STI) from government to the aerospace industry and the role of librarians and technical information specialists in the transfer process. Data was collected through a self-administered mailback questionnaire. Libraries identified as holding substantial aerospace or aeronautical technical report collections were selected to receive the questionnaires. Within each library, the person responsible for the technical report was requested to answer the questionnaire. Questionnaires were returned from approx. 68 pct. of the libraries. The respondents indicated that scientists and engineer are not aware of the services available from libraries/technical information centers and that scientists and engineers also under-utilized their services. The respondents also indicated they should be more involved in the process.

  16. Building Models from the Bottom Up: The HOBBES Project

    NASA Astrophysics Data System (ADS)

    Medellin-Azuara, J.; Sandoval Solis, S.; Lund, J. R.; Chu, W.

    2013-12-01

    Water problems are often bigger than technical and data challenges associated in representing a water system using a model. Controversy and complexity is inherent when water is to be allocated among different uses making difficult to maintain coherent and productive discussions on addressing water problems. Quantification of a water supply system through models has proven to be helpful to improve understanding, explore and develop adaptable solutions to water problems. However, models often become too large and complex and become hostages of endless discussions of the assumptions, their algorithms and their limitations. Data management organization and documentation keep model flexible and useful over time. The UC Davis HOBBES project is a new approach, building models from the bottom up. Reversing the traditional model development, where data are arranged around a model algorithm, in Hobbes the data structure, organization and documentation are established first, followed by application of simulation or optimization modeling algorithms for a particular problem at hand. The HOBBES project establishes standards for storing, documenting and sharing datasets on California water system. This allows models to be developed and modified more easily and transparently, with greater comparability. Elements in the database have a spatial definition and can aggregate several infrastructural elements into detailed to coarse representations of the water system. Elements in the database represent reservoirs, groundwater basins, pumping stations, hydropower and water treatment facilities, demand areas and conveyance infrastructure statewide. These elements also host time series, economic and other information from hydrologic, economic, climate and other models. This presentation provides an overview of the project HOBBES project, its applications and prospects for California and elsewhere. The HOBBES Project

  17. The Modelling of Knowledge-Intensive Processes Using Semantics

    NASA Astrophysics Data System (ADS)

    Feldkamp, Daniela; Hinkelmann, Knut; Thönssen, Barbara

    In the "i2010 eGovernment Action Plan" it is stated that: "Member States have committed themselves to inclusive eGovernment objectives to ensure that by 2010 all citizens [...] become major beneficiaries of eGovernment, and European public administrations deliver public information and services that are more easily accessible and increasingly trusted by the public, through innovative use of ICT, increasing awareness of the benefits of eGovernment and improved skills and support for all users" (Commission of the European Communities 2006). For example, in the latest study on e-Government in Switzerland conducted by the University of St. Gallen, it was stated for the first time that measures for e-Government quality improvement are change (42% of the Swiss cantons, 19% of the Swiss municipalities) and benchmarking (business) activities/processes (41% of the Swiss cantons, 50% of the Swiss municipalities). But in the same study, design and IT-supported processes are considered a huge challenge (Schedler et al. 2007a, b). Thus, what Becker et al. already described still holds true: Although the benefit of having formal models of business processes is well known in public administrations, too few processes have been modelled and lesser still have been automated (Becker et al. 2003).

  18. Proposed best practice for projects that involve modelling and simulation.

    PubMed

    M, O'Kelly; V, Anisimov; C, Campbell; S, Hamilton

    2016-11-03

    Modelling and simulation has been used in many ways when developing new treatments. To be useful and credible, it is generally agreed that modelling and simulation should be undertaken according to some kind of best practice. A number of authors have suggested elements required for best practice in modelling and simulation. Elements that have been suggested include the pre-specification of goals, assumptions, methods, and outputs. However, a project that involves modelling and simulation could be simple or complex and could be of relatively low or high importance to the project. It has been argued that the level of detail and the strictness of pre-specification should be allowed to vary, depending on the complexity and importance of the project. This best practice document does not prescribe how to develop a statistical model. Rather, it describes the elements required for the specification of a project and requires that the practitioner justify in the specification the omission of any of the elements and, in addition, justify the level of detail provided about each element. This document is an initiative of the Special Interest Group for modelling and simulation. The Special Interest Group for modelling and simulation is a body open to members of Statisticians in the Pharmaceutical Industry and the European Federation of Statisticians in the Pharmaceutical Industry. Examples of a very detailed specification and a less detailed specification are included as appendices.

  19. Sustainable Hydro Assessment and Groundwater Recharge Projects (SHARP) in Germany - Water Balance Models

    NASA Astrophysics Data System (ADS)

    Niemand, C.; Kuhn, K.; Schwarze, R.

    2010-12-01

    management actions. The model comparisons within reference areas showed significant differences in outcome. The values of water balance components calculated with different models partially fluctuate by a multiple of their value. The SHARP project was prepared in several previous projects that were testing suitable water balance models and is now able to assist the knowledge transfer.

  20. Semiclassical projection of hedgehog models with quarks

    NASA Astrophysics Data System (ADS)

    Cohen, Thomas D.; Broniowski, Wojciech

    1986-12-01

    A simple semiclassical method is presented for calculating physical observables in states with good angular momentum and isospin for models whose mean-field solutions are hedgehogs. The method is applicable for theories which have both quark and meson degrees of freedom. The basic approach is to find slowly rotating solutions to the time-dependent mean-field equations. A nontrivial set of differential equations must be solved to find the quark configuration for these rotating hedgehogs. The parameters which specify the rotating solutions are treated as the collective degrees of freedom. They are requantized by imposing a set of commutation relations which ensures the correct algebra for the SU(2)×SU(2) group of angular momentum and isospin. Collective wave functions can then be found and with these wave functions all matrix elements can be calculated. The method is applied to a simple version of the chiral quark-meson model. A number of physical quantities such as magnetic moments, charge distributions, gA, gπNN, N-Δ mass splitting, properties of the N-Δ transition, etc., are calculated.

  1. Semiclassical projection of hedgehog models with quarks

    SciTech Connect

    Cohen, T.D.; Broniowski, W.

    1986-12-01

    A simple semiclassical method is presented for calculating physical observables in states with good angular momentum and isospin for models whose mean-field solutions are hedgehogs. The method is applicable for theories which have both quark and meson degrees of freedom. The basic approach is to find slowly rotating solutions to the time-dependent mean-field equations. A nontrivial set of differential equations must be solved to find the quark configuration for these rotating hedgehogs. The parameters which specify the rotating solutions are treated as the collective degrees of freedom. They are requantized by imposing a set of commutation relations which ensures the correct algebra for the SU(2) x SU(2) group of angular momentum and isospin. Collective wave functions can then be found and with these wave functions all matrix elements can be calculated. The method is applied to a simple version of the chiral quark-meson model. A number of physical quantities such as magnetic moments, charge distributions, g/sub A/, g/sub ..pi..//sub N//sub N/, N-..delta.. mass splitting, properties of the N-..delta.. transition, etc., are calculated.

  2. Genome Modeling System: A Knowledge Management Platform for Genomics

    PubMed Central

    Griffith, Malachi; Griffith, Obi L.; Smith, Scott M.; Ramu, Avinash; Callaway, Matthew B.; Brummett, Anthony M.; Kiwala, Michael J.; Coffman, Adam C.; Regier, Allison A.; Oberkfell, Ben J.; Sanderson, Gabriel E.; Mooney, Thomas P.; Nutter, Nathaniel G.; Belter, Edward A.; Du, Feiyu; Long, Robert L.; Abbott, Travis E.; Ferguson, Ian T.; Morton, David L.; Burnett, Mark M.; Weible, James V.; Peck, Joshua B.; Dukes, Adam; McMichael, Joshua F.; Lolofie, Justin T.; Derickson, Brian R.; Hundal, Jasreet; Skidmore, Zachary L.; Ainscough, Benjamin J.; Dees, Nathan D.; Schierding, William S.; Kandoth, Cyriac; Kim, Kyung H.; Lu, Charles; Harris, Christopher C.; Maher, Nicole; Maher, Christopher A.; Magrini, Vincent J.; Abbott, Benjamin S.; Chen, Ken; Clark, Eric; Das, Indraniel; Fan, Xian; Hawkins, Amy E.; Hepler, Todd G.; Wylie, Todd N.; Leonard, Shawn M.; Schroeder, William E.; Shi, Xiaoqi; Carmichael, Lynn K.; Weil, Matthew R.; Wohlstadter, Richard W.; Stiehr, Gary; McLellan, Michael D.; Pohl, Craig S.; Miller, Christopher A.; Koboldt, Daniel C.; Walker, Jason R.; Eldred, James M.; Larson, David E.; Dooling, David J.; Ding, Li; Mardis, Elaine R.; Wilson, Richard K.

    2015-01-01

    In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395) and matched lymphoblastoid line (HCC1395BL). These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms. PMID:26158448

  3. Epidemiologic and behavioral characterization of knowledge of condom use and modeling among military personnel.

    PubMed

    Holmes, Laurens; Ogungbade, Gbadebo; Ward, Doriel D; Ross, Michael W; Ekong, Ernest; Essien, Ekere James

    2008-08-01

    How accurately condoms are being used vary across populations and knowledge of the factors determining its proper use remains unclear. Knowledge of such differentials and determinants would aid in evaluating the contributions of condom use to HIV epidemic reduction. Baseline data from the Situationally Focused Individual HIV/AIDS intervention to promote HIV protective behavior among 2,213 Nigerian Military Personnel were analyzed. Educational status as a predictor variable was assessed using univariable and multivariable logistic regression model. Compared to those with less than high school education, those with high school and some college education were two times more likely to demonstrate knowledge of condom use and modeling, prevalence odds ratio (POR), 2.32, 95% Confidence Interval (CI) = 1.60-3.37. After adjustment for the relevant covariates, higher education attainment was associated with nonsignificant 62% increase in knowledge and modeling, POR, 1.62, 95% CI = 0.78-3.38. This study is indicative of low knowledge of condom use and modeling among the Nigerian military personnel; as well as a direct correlation between education attainment and knowledge of condom use and modeling.

  4. NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 31: The information-seeking behavior of engineers

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Bishop, Ann P.; Barclay, Rebecca O.; Kennedy, John M.

    1993-01-01

    Engineers are an extraordinarily diverse group of professionals, but an attribute common to all engineers is their use of information. Engineering can be conceptualized as an information processing system that must deal with work-related uncertainty through patterns of technical communications. Throughout the process, data, information, and tacit knowledge are being acquired, produced, transferred, and utilized. While acknowledging that other models exist, we have chosen to view the information-seeking behavior of engineers within a conceptual framework of the engineer as an information processor. This article uses the chosen framework to discuss information-seeking behavior of engineers, reviewing selected literature and empirical studies from library and information science, management, communications, and sociology. The article concludes by proposing a research agenda designed to extend our current, limited knowledge of the way engineers process information.

  5. Towards a New Generation of Agricultural System Data, Models and Knowledge Products: Design and Improvement

    NASA Technical Reports Server (NTRS)

    Antle, John M.; Basso, Bruno; Conant, Richard T.; Godfray, H. Charles J.; Jones, James W.; Herrero, Mario; Howitt, Richard E.; Keating, Brian A.; Munoz-Carpena, Rafael; Rosenzweig, Cynthia

    2016-01-01

    This paper presents ideas for a new generation of agricultural system models that could meet the needs of a growing community of end-users exemplified by a set of Use Cases. We envision new data, models and knowledge products that could accelerate the innovation process that is needed to achieve the goal of achieving sustainable local, regional and global food security. We identify desirable features for models, and describe some of the potential advances that we envisage for model components and their integration. We propose an implementation strategy that would link a "pre-competitive" space for model development to a "competitive space" for knowledge product development and through private-public partnerships for new data infrastructure. Specific model improvements would be based on further testing and evaluation of existing models, the development and testing of modular model components and integration, and linkages of model integration platforms to new data management and visualization tools.

  6. The Modeling and Simulation Catalog for Discovery, Knowledge and Reuse

    NASA Technical Reports Server (NTRS)

    Stone, George F. III; Greenberg, Brandi; Daehler-Wilking, Richard; Hunt, Steven

    2011-01-01

    The DoD M&S Steering Committee has noted that the current DoD and Service's modeling and simulation resource repository (MSRR) services are not up-to-date limiting their value to the using communities. However, M&S leaders and managers also determined that the Department needs a functional M&S registry card catalog to facilitate M&S tool and data visibility to support M&S activities across the DoD. The M&S Catalog will discover and access M&S metadata maintained at nodes distributed across DoD networks in a centrally managed, decentralized process that employs metadata collection and management. The intent is to link information stores, precluding redundant location updating. The M&S Catalog uses a standard metadata schemas based on the DoD's Net-Centric Data Strategy Community of Interest metadata specification. The Air Force, Navy and OSD (CAPE) have provided initial information to participating DoD nodes, but plans on the horizon are being made to bring in hundreds of source providers.

  7. Projected Dipole Model for Quantum Plasmonics.

    PubMed

    Yan, Wei; Wubs, Martijn; Asger Mortensen, N

    2015-09-25

    Quantum effects of plasmonic phenomena have been explored through ab initio studies, but only for exceedingly small metallic nanostructures, leaving most experimentally relevant structures too large to handle. We propose instead an effective description with the computationally appealing features of classical electrodynamics, while quantum properties are described accurately through an infinitely thin layer of dipoles oriented normally to the metal surface. The nonlocal polarizability of the dipole layer-the only introduced parameter-is mapped from the free-electron distribution near the metal surface as obtained with 1D quantum calculations, such as time-dependent density-functional theory (TDDFT), and is determined once and for all. The model can be applied in two and three dimensions to any system size that is tractable within classical electrodynamics, while capturing quantum plasmonic aspects of nonlocal response and a finite work function with TDDFT-level accuracy. Applying the theory to dimers, we find quantum corrections to the hybridization even in mesoscopic dimers, as long as the gap itself is subnanometric.

  8. Labor Market Projections Model: a user's guide to the population, labor force, and unemployment projections model at Lawrence Berkeley Laboratory

    SciTech Connect

    Schroeder, E.

    1980-08-01

    In an effort to assist SESA analysts and CETA prime sponsor planners in the development of labor-market information suitable to their annual plans, the Labor Market Projections Model (LMPM) was initiated. The purpose of LMPM is to provide timely information on the demographic characteristics of local populations, labor supply, and unemployment. In particular, the model produces short-term projections of the distributions of population, labor force, and unemployment by age, sex, and race. LMPM was designed to carry out these projections at various geographic levels - counties, prime-sponsor areas, SMSAs, and states. While LMPM can project population distributions for areas without user input, the labor force and unemployment projections rely upon inputs from analysts or planners familiar with the economy of the area of interest. Thus, LMPM utilizes input from the SESA analysts. This User's Guide to LMPM was specifically written as an aid to SESA analysts and other users in improving their understanding of LMPM. The basic method of LMPM is a demographic cohort aging model that relies upon 1970 Census data. LMPM integrates data from several sources in order to produce current projections from the 1970 baseline for all the local areas of the nation. This User's Guide documents the procedures, data, and output of LMPM. 11 references.

  9. Population projections for AIDS using an actuarial model.

    PubMed

    Wilkie, A D

    1989-09-05

    This paper gives details of a model for forecasting AIDS, developed for actuarial purposes, but used also for population projections. The model is only appropriate for homosexual transmission, but it is age-specific, and it allows variation in the transition intensities by age, duration in certain states and calendar year. The differential equations controlling transitions between states are defined, the method of numerical solution is outlined, and the parameters used in five different Bases of projection are given in detail. Numerical results for the population of England and Wales are shown.

  10. Low frequency variants, collapsed based on biological knowledge, uncover complexity of population stratification in 1000 genomes project data.

    PubMed

    Moore, Carrie B; Wallace, John R; Wolfe, Daniel J; Frase, Alex T; Pendergrass, Sarah A; Weiss, Kenneth M; Ritchie, Marylyn D

    2013-01-01

    Analyses investigating low frequency variants have the potential for explaining additional genetic heritability of many complex human traits. However, the natural frequencies of rare variation between human populations strongly confound genetic analyses. We have applied a novel collapsing method to identify biological features with low frequency variant burden differences in thirteen populations sequenced by the 1000 Genomes Project. Our flexible collapsing tool utilizes expert biological knowledge from multiple publicly available database sources to direct feature selection. Variants were collapsed according to genetically driven features, such as evolutionary conserved regions, regulatory regions genes, and pathways. We have conducted an extensive comparison of low frequency variant burden differences (MAF<0.03) between populations from 1000 Genomes Project Phase I data. We found that on average 26.87% of gene bins, 35.47% of intergenic bins, 42.85% of pathway bins, 14.86% of ORegAnno regulatory bins, and 5.97% of evolutionary conserved regions show statistically significant differences in low frequency variant burden across populations from the 1000 Genomes Project. The proportion of bins with significant differences in low frequency burden depends on the ancestral similarity of the two populations compared and types of features tested. Even closely related populations had notable differences in low frequency burden, but fewer differences than populations from different continents. Furthermore, conserved or functionally relevant regions had fewer significant differences in low frequency burden than regions under less evolutionary constraint. This degree of low frequency variant differentiation across diverse populations and feature elements highlights the critical importance of considering population stratification in the new era of DNA sequencing and low frequency variant genomic analyses.

  11. The reciprocal relationship between compounding awareness and vocabulary knowledge in Chinese: a latent growth model study.

    PubMed

    Cheng, Yahua; Li, Liping; Wu, Xinchun

    2015-01-01

    The aim of this study is to examine the developmental relationship between compounding awareness and vocabulary knowledge from grades 1 to 2 in Chinese children. In this study, 149 Chinese children were tested on compounding awareness and vocabulary knowledge from Time 1 to Time 4, with non-verbal IQ, working memory, phonological awareness, orthographical awareness, and rapid automatized naming at Time 1 as control variables. Latent growth modeling was conducted to analyze the data. Univariate models separately calculated children's initial levels and growth rates in compounding awareness and vocabulary knowledge. Bivariate model was used to examine the direction of the developmental relationships between the two variables with other cognitive and linguistic variables and the autoregression controlled. The results demonstrated that the initial level of compounding awareness predicted the growth rate of vocabulary knowledge, and the reverse relation was also found, after controlling for other cognitive and linguistic variables and the autoregression. The results suggested a reciprocal developmental relationship between children's compounding awareness and vocabulary knowledge for Chinese children, a finding that informs current models of the relationship between morphological awareness and vocabulary knowledge.

  12. SESAME as a Model Project for Other Regions

    NASA Astrophysics Data System (ADS)

    Winick, Herman

    2013-03-01

    UNESCO became the umbrella organization for SESAME at its Executive Board 164th session, May 2002. The following comments about SESAME were made by this board: ``a quintessential UNESCO project combining capacity building with vital peace-building through science'' and ``a model project for other regions.'' Now that SESAME is well underway, other regions (e.g.; Africa and Central Asia) should be made aware of this progress, and they should be welcomed to join SESAME as a first step in developing similar projects in their region. Students and scientists from other regions should be encouraged to attend SESAME Users' meeting, schools, workshops, etc. where they can learn about synchrotron radiation sources, beamlines, and science. They should be invited to join SESAME scientists in designing and commissioning accelerators and beamlines, gaining relevant experience for their own projects and helping SESAME in the process. Work supported by DOE Office of Basic Energy Sciences

  13. Development of the NASA Digital Astronaut Project Muscle Model

    NASA Technical Reports Server (NTRS)

    Lewandowski, Beth E.; Pennline, James A.; Thompson, W. K.; Humphreys, B. T.; Ryder, J. W.; Ploutz-Snyder, L. L.; Mulugeta, L.

    2015-01-01

    This abstract describes development work performed on the NASA Digital Astronaut Project Muscle Model. Muscle atrophy is a known physiological response to exposure to a low gravity environment. The DAP muscle model computationally predicts the change in muscle structure and function vs. time in a reduced gravity environment. The spaceflight muscle model can then be used in biomechanical models of exercise countermeasures and spaceflight tasks to: 1) develop site specific bone loading input to the DAP bone adaptation model over the course of a mission; 2) predict astronaut performance of spaceflight tasks; 3) inform effectiveness of new exercise countermeasures concepts.

  14. The study on stage financing model of IT project investment.

    PubMed

    Chen, Si-hua; Xu, Sheng-hua; Lee, Changhoon; Xiong, Neal N; He, Wei

    2014-01-01

    Stage financing is the basic operation of venture capital investment. In investment, usually venture capitalists use different strategies to obtain the maximum returns. Due to its advantages to reduce the information asymmetry and agency cost, stage financing is widely used by venture capitalists. Although considerable attentions are devoted to stage financing, very little is known about the risk aversion strategies of IT projects. This paper mainly addresses the problem of risk aversion of venture capital investment in IT projects. Based on the analysis of characteristics of venture capital investment of IT projects, this paper introduces a real option pricing model to measure the value brought by the stage financing strategy and design a risk aversion model for IT projects. Because real option pricing method regards investment activity as contingent decision, it helps to make judgment on the management flexibility of IT projects and then make a more reasonable evaluation about the IT programs. Lastly by being applied to a real case, it further illustrates the effectiveness and feasibility of the model.

  15. 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

  16. A model to capture and manage tacit knowledge using a multiagent system

    NASA Astrophysics Data System (ADS)

    Paolino, Lilyam; Paggi, Horacio; Alonso, Fernando; López, Genoveva

    2014-10-01

    This article presents a model to capture and register business tacit knowledge belonging to different sources, using an expert multiagent system which enables the entry of incidences and captures the tacit knowledge which could fix them. This knowledge and their sources are evaluated through the application of trustworthy algorithms that lead to the registration of the data base and the best of each of them. Through its intelligent software agents, this system interacts with the administrator, users, with the knowledge sources and with all the practice communities which might exist in the business world. The sources as well as the knowledge are constantly evaluated, before being registered and also after that, in order to decide the staying or modification of its original weighting. If there is the possibility of better, new knowledge are registered through the old ones. This is also part of an investigation being carried out which refers to knowledge management methodologies in order to manage tacit business knowledge so as to make the business competitiveness easier and leading to innovation learning.

  17. Distinguishing Models of Professional Development: The Case of an Adaptive Model's Impact on Teachers' Knowledge, Instruction, and Student Achievement

    ERIC Educational Resources Information Center

    Koellner, Karen; Jacobs, Jennifer

    2015-01-01

    We posit that professional development (PD) models fall on a continuum from highly adaptive to highly specified, and that these constructs provide a productive way to characterize and distinguish among models. The study reported here examines the impact of an adaptive mathematics PD model on teachers' knowledge and instructional practices as well…

  18. Classification of Software Projects' Complexity

    NASA Astrophysics Data System (ADS)

    Fitsilis, P.; Kameas, A.; Anthopoulos, L.

    Software project complexity is a subject that has not received detailed attention. The purpose of this chapter is to present a systematic way for studying and modeling software project complexity. The proposed model is based on the widely known and accepted Project Management Body of Knowledge and it uses a typology for modeling complexity based on complexity of faith, fact, and interaction.

  19. The mCME Project: A Randomized Controlled Trial of an SMS-Based Continuing Medical Education Intervention for Improving Medical Knowledge among Vietnamese Community Based Physicians’ Assistants

    PubMed Central

    Gill, Christopher J.; Le Ngoc, Bao; Halim, Nafisa; Nguyen Viet, Ha; Larson Williams, Anna; Nguyen Van, Tan; McNabb, Marion; Tran Thi Ngoc, Lien; Falconer, Ariel; An Phan Ha, Hai; Rohr, Julia; Hoang, Hai; Michiel, James; Nguyen Thi Thanh, Tam; Bird, Liat; Pham Vu, Hoang; Yeshitla, Mahlet; Ha Van, Nhu; Sabin, Lora

    2016-01-01

    Background Community health workers (CHWs) provide critical services to underserved populations in low and middle-income countries, but maintaining CHW’s clinical knowledge through formal continuing medical education (CME) activities is challenging and rarely occurs. We tested whether a Short Message Service (SMS)-based mobile CME (mCME) intervention could improve medical knowledge among a cadre of Vietnamese CHWs (Community Based Physician’s Assistants–CBPAs) who are the leading providers of primary medical care for rural underserved populations. Methods The mCME Project was a three arm randomized controlled trial. Group 1 served as controls while Groups 2 and 3 experienced two models of the mCME intervention. Group 2 (passive model) participants received a daily SMS bullet point, and were required to reply to the text to acknowledge receipt; Group 3 (interactive model) participants received an SMS in multiple choice question format addressing the same thematic area as Group 2, entering an answer (A, B, C or D) in their response. The server provided feedback immediately informing the participant whether the answer was correct. Effectiveness was based on standardized examination scores measured at baseline and endline (six months later). Secondary outcomes included job satisfaction and self-efficacy. Results 638 CBPAs were enrolled, randomized, and tested at baseline, with 592 returning at endline (93.7%). Baseline scores were similar across all three groups. Over the next six months, participation of Groups 2 and 3 remained high; they responded to >75% of messages. Group 3 participants answered 43% of the daily SMS questions correctly, but their performance did not improve over time. At endline, the CBPAs reported high satisfaction with the mCME intervention, and deemed the SMS messages highly relevant. However, endline exam scores did not increase over baseline, and did not differ between the three groups. Job satisfaction and self-efficacy scores also did

  20. Knowledge Based Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle.

    DTIC Science & Technology

    1988-04-13

    Simulation: An Artificial Intelligence Approach to System Modeling and Automating the Simulation Life Cycle Mark S. Fox, Nizwer Husain, Malcolm...years of research in the application of Artificial Intelligence to Simulation. Our focus has been in two areas: the use of Al knowledge representation...this problem by using Artificial Intelligence (Al) knowledge representation techniques, such as frames, to represent the objects and their

  1. Single Investigator or Group Projects? Which is the More Successful Model for a REU Site?

    NASA Astrophysics Data System (ADS)

    Boush, L. P.; Myrbo, A.; Berman, M. J.; Gnivecki, P.; Michelson, A.; Brady, K. L.

    2012-12-01

    Undergraduate research programs have become popular and effective mechanisms for developing future geoscientists and increasing participation of under-represented groups in the sciences. There are many models for implementing such programs that span different philosophies and goals. Our Research Experience for Undergraduates (REU) program in the Bahamas is in the second of its three year award and has used two different models each year of its operation. In the first year, we used the individual student project model, where students pursued their own research much like an honors or masters thesis approach. Specifically, students did individual projects in four areas: paleobiology, geoarcheology, geobiology and limnogeology. In the second year, we used the team concept model, where students were divided into two teams, coring different lakes. The students combined efforts in both the field and lab, doing basic limnology of the basins, and then collecting and analyzing the cores that they took. While both pedagogy models were successful in teaching basic science skills in the field and lab, each one had different strengths and weaknesses. The single investigator model allowed students to have complete intellectual ownership of their projects, while the group model allowed students to work together in teams and produce a more comprehensive dataset that was higher quality and more likely to be published. In addition, while student knowledge gains were statistically the same for both years, the attitudes towards science scores were higher for the 'team model' year than for the single investigator. Since one of the goals of the REU program is to engage students and foster a desire to continue scientific inquiry or careers in science, the 'team model' could be regarded as more successful. It also allowed higher quality datasets to be produced and a more realistic view of how most science is done—in a collaborative, multidisciplinary way. Each student learned all of the

  2. The Knowledge Building Paradigm: A Model of Learning for Net Generation Students

    ERIC Educational Resources Information Center

    Philip, Donald

    2005-01-01

    In this article Donald Philip describes Knowledge Building, a pedagogy based on the way research organizations function. The global economy, Philip argues, is driving a shift from older, industrial models to the model of the business as a learning organization. The cognitive patterns of today's Net Generation students, formed by lifetime exposure…

  3. Artificial intelligence in process control: Knowledge base for the shuttle ECS model

    NASA Technical Reports Server (NTRS)

    Stiffler, A. Kent

    1989-01-01

    The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.

  4. Advancing Understanding Using Nonaka's Model of Knowledge Creation and Problem-Based Learning

    ERIC Educational Resources Information Center

    Tee, Meng Yew; Lee, Shuh Shing

    2013-01-01

    Nonaka's model of knowledge creation can provide guidance for designing learning environments and activities. However, Bereiter is critical of the model because it does not address whether understanding is deepened in the process of socialization, externalization, combination and internalization. To address this issue of understanding, this…

  5. Computer Model of the Empirical Knowledge of Physics Formation: Coordination with Testing Results

    ERIC Educational Resources Information Center

    Mayer, Robert V.

    2016-01-01

    The use of method of imitational modeling to study forming the empirical knowledge in pupil's consciousness is discussed. The offered model is based on division of the physical facts into three categories: 1) the facts established in everyday life; 2) the facts, which the pupil can experimentally establish at a physics lesson; 3) the facts which…

  6. Sustainable knowledge development across cultural boundaries: Experiences from the EU-project SILMAS (Toolbox for conflict solving instruments in Alpine Lake Management)

    NASA Astrophysics Data System (ADS)

    Fegerl, Michael; Wieden, Wilfried

    2013-04-01

    Increasingly people have to communicate knowledge across cultural and language boundaries. Even though recent technologies offer powerful communication facilities people often feel confronted with barriers which clearly reduce their chances of making their interaction a success. Concrete evidence concerning such problems derives from a number of projects, where generated knowledge often results in dead-end products. In the Alpine Space-project SILMAS (Sustainable Instruments for Lake Management in Alpine Space), in which both authors were involved, a special approach (syneris® ) was taken to avoid this problem and to manage project knowledge in sustainable form. Under this approach knowledge input and output are handled interactively: Relevant knowledge can be developed continuously and users can always access the latest state of expertise. Resort to the respective tools and procedures can also assist in closing knowledge gaps and in developing innovative responses to familiar or novel problems. This contribution intends to describe possible ways and means which have been found to increase the chances of success of knowledge communication across cultural boundaries. The process of trans-cultural discussions of experts to find a standardized solution is highlighted as well as the problem of dissemination of expert knowledge to variant stakeholders. Finally lessons learned are made accessible, where a main task lies in the creation of a tool box for conflict solving instruments, as a demonstrable result of the project and for the time thereafter. The interactive web-based toolbox enables lake managers to access best practice instruments in standardized, explicit and cross-linguistic form.

  7. Pain Management Practices by Nurses: An Application of the Knowledge, Attitude and Practices (KAP) Model.

    PubMed

    Alzghoul, Bashar I; Abdullah, Nor Azimah Chew

    2015-10-26

    Pain is one of the most common reasons that drive people to go to hospitals. It has been found that several factors affect the practices of pain management. In this regard, this study aimed at investigating the underlying determinants in terms of pain management practices. Based on reviewing the previous studies and the suggestions of the KAP model, it was hypothesized that the main elements of the KAP model (attitudes and knowledge) significantly predict the variation in the practices of nurses regarding pain management. A questionnaire comprising the KAP model' s constructs, i.e. knowledge and attitude towards pain management, as well as pain management practices, was used to collect data from 266 registered nurses (n=266) who are deemed competent in the management of patients' pain in the Jordanian public hospitals. The two constructs, attitude and knowledge, which are the main determinants of the KAP model were found to independently predict nurses' practices of managing patients' pain. Knowledge of pain management was found to be the strongest predictor. Additionally, it was found that about 69% of the variance in pain management could be explained by the constructs of the KAP model. Therefore, it is recommended that the Jordanian hospitals and universities focus on nurses' knowledge and attitude towards pain management in order to enhance their practices in the field of pain management.

  8. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 8: The role of the information intermediary in the diffusion of aerospace knowledge

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Kennedy, John M.; Barclay, Rebecca O.

    1990-01-01

    The United States aerospace industry is experiencing profound changes created by a combination of domestic actions and circumstances such as airline deregulation. Other changes result from external trends such as emerging foreign competition. These circumstances intensify the need to understand the production, transfer, and utilization of knowledge as a precursor to the rapid diffusion of technology. Presented here is a conceptual framework for understanding the diffusion of technology. A conceptual framework is given for understanding the diffusion of aerospace knowledge. The framework focuses on the information channels and members of the social system associated with the aerospace knowledge diffusion process, placing particular emphasis on aerospace librarians as information intermediaries.

  9. Project Physics Tests 5, Models of the Atom.

    ERIC Educational Resources Information Center

    Harvard Univ., Cambridge, MA. Harvard Project Physics.

    Test items relating to Project Physics Unit 5 are presented in this booklet. Included are 70 multiple-choice and 23 problem-and-essay questions. Concepts of atomic model are examined on aspects of relativistic corrections, electron emission, photoelectric effects, Compton effect, quantum theories, electrolysis experiments, atomic number and mass,…

  10. Project Physics Text 5, Models of the Atom.

    ERIC Educational Resources Information Center

    Harvard Univ., Cambridge, MA. Harvard Project Physics.

    Basic atomic theories are presented in this fifth unit of the Project Physics text for use by senior high students. Chemical basis of atomic models in the early years of the 18th Century is discussed n connection with Dalton's theory, atomic properties, and periodic tables. The discovery of electrons is described by using cathode rays, Millikan's…

  11. 2+2 Electronics. A Model Program Development Project.

    ERIC Educational Resources Information Center

    Smith, Jack; And Others

    This document contains materials and information used during and developed by a model 2+2 electronics technology program development project conducted by Gainesville High School and Cooke County College, Texas. A procedures manual provides information on grant application, surveys, committees, curricula, articulation agreement, and goals and…

  12. Phase-aware projection model for steganalysis of JPEG images

    NASA Astrophysics Data System (ADS)

    Holub, Vojtěch; Fridrich, Jessica

    2015-03-01

    State-of-the-art JPEG steganographic algorithms, such as J-UNIWARD, are currently better detected in the spatial domain rather than the JPEG domain. Rich models built from pixel residuals seem to better capture the impact of embedding than features constructed as co-occurrences of quantized JPEG coefficients. However, when steganalyzing JPEG steganographic algorithms in the spatial domain, the pixels' statistical properties vary because of the underlying 8 × 8 pixel grid imposed by the compression. In order to detect JPEG steganography more accurately, we split the statistics of noise residuals based on their phase w.r.t. the 8 × 8 grid. Because of the heterogeneity of pixels in a decompressed image, it also makes sense to keep the kernel size of pixel predictors small as larger kernels mix up qualitatively different statistics more, losing thus on the detection power. Based on these observations, we propose a novel feature set called PHase Aware pRojection Model (PHARM) in which residuals obtained using a small number of small-support kernels are represented using first-order statistics of their random projections as in the projection spatial rich model PSRM. The benefit of making the features "phase-aware" is shown experimentally on selected modern JPEG steganographic algorithms with the biggest improvement seen for J-UNIWARD. Additionally, the PHARM feature vector can be computed at a fraction of computational costs of existing projection rich models.

  13. Predicting Flu Season Requirements: An Undergraduate Modeling Project

    ERIC Educational Resources Information Center

    Kramlich, Gary R., II; Braunstein Fierson, Janet L.; Wright, J. Adam

    2010-01-01

    This project was designed to be used in a freshman calculus class whose students had already been introduced to logistic functions and basic data modeling techniques. It need not be limited to such an audience, however; it has also been implemented in a topics in mathematics class for college upperclassmen. Originally intended to be presented in…

  14. OVERVIEW AND STATUS OF LAKE MICHIGAN MASS BALANCE MODELLING PROJECT

    EPA Science Inventory

    With most of the data available from the Lake Michigan Mass Balance Project field program, the modeling efforts have begun in earnest. The tributary and atmospheric load estimates are or will be completed soon, so realistic simulations for calibration are beginning. A Quality Ass...

  15. Water Erosion Prediction Project (WEPP) model status and updates

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This presentation will provide current information on the USDA-ARS Water Erosion Prediction Project (WEPP) model, and its implementation by the USDA-Forest Service (FS), USDA-Natural Resources Conservation Service (NRCS), and other agencies and universities. Most recently, the USDA-NRCS has begun ef...

  16. Geospatial application of the Water Erosion Prediction Project (WEPP) model

    Technology Transfer Automated Retrieval System (TEKTRAN)

    At the hillslope profile and/or field scale, a simple Windows graphical user interface (GUI) is available to easily specify the slope, soil, and management inputs for application of the USDA Water Erosion Prediction Project (WEPP) model. Likewise, basic small watershed configurations of a few hillsl...

  17. Geospatial application of the Water Erosion Prediction Project (WEPP) model

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Water Erosion Prediction Project (WEPP) model is a process-based technology for prediction of soil erosion by water at hillslope profile, field, and small watershed scales. In particular, WEPP utilizes observed or generated daily climate inputs to drive the surface hydrology processes (infiltrat...

  18. Student Success in College Composition through the Puente Project Model.

    ERIC Educational Resources Information Center

    Jaffe, Barbara

    Much can be learned from California's Puente Project Model that would help students' success in classrooms as well as in college in general, and in their daily lives. Puente, which means "bridge" in Spanish, began in 1982 at Chabot College in northern California and is now in 38 colleges and 19 high schools statewide. Originally designed…

  19. Building information modeling (BIM) approach to the GMT Project

    NASA Astrophysics Data System (ADS)

    Teran, Jose; Sheehan, Michael; Neff, Daniel H.; Adriaanse, David; Grigel, Eric; Farahani, Arash

    2014-07-01

    The Giant Magellan Telescope (GMT), one of several next generation Extremely Large Telescopes (ELTs), is a 25.4 meter diameter altitude over azimuth design set to be built at the summit of Cerro Campánas at the Las Campánas Observatory in Chile. The paper describes the use of Building Information Modeling (BIM) for the GMT project.

  20. Inter-model variability in hydrological extremes projections for Amazonian sub-basins

    NASA Astrophysics Data System (ADS)

    Andres Rodriguez, Daniel; Garofolo, Lucas; Lázaro de Siqueira Júnior, José; Samprogna Mohor, Guilherme; Tomasella, Javier

    2014-05-01

    Irreducible uncertainties due to knowledge's limitations, chaotic nature of climate system and human decision-making process drive uncertainties in Climate Change projections. Such uncertainties affect the impact studies, mainly when associated to extreme events, and difficult the decision-making process aimed at mitigation and adaptation. However, these uncertainties allow the possibility to develop exploratory analyses on system's vulnerability to different sceneries. The use of different climate model's projections allows to aboard uncertainties issues allowing the use of multiple runs to explore a wide range of potential impacts and its implications for potential vulnerabilities. Statistical approaches for analyses of extreme values are usually based on stationarity assumptions. However, nonstationarity is relevant at the time scales considered for extreme value analyses and could have great implications in dynamic complex systems, mainly under climate change transformations. Because this, it is required to consider the nonstationarity in the statistical distribution parameters. We carried out a study of the dispersion in hydrological extremes projections using climate change projections from several climate models to feed the Distributed Hydrological Model of the National Institute for Spatial Research, MHD-INPE, applied in Amazonian sub-basins. This model is a large-scale hydrological model that uses a TopModel approach to solve runoff generation processes at the grid-cell scale. MHD-INPE model was calibrated for 1970-1990 using observed meteorological data and comparing observed and simulated discharges by using several performance coeficients. Hydrological Model integrations were performed for present historical time (1970-1990) and for future period (2010-2100). Because climate models simulate the variability of the climate system in statistical terms rather than reproduce the historical behavior of climate variables, the performances of the model's runs

  1. A Multistage R & D Project Selection Model with Multiple Objectives.

    DTIC Science & Technology

    1979-01-01

    projects. , Each feature of the proposed model is designed to incorporate realistic aspects of the R&D decision making process. First, the model...148 Directions of Future Research in the R&D Decision Making Environment ................. 148 Other Applications and Extensions of the...incorporate the realistic aspects of the decentralized structure of organizational R&D decision making and the corresponding hierarchies. The major

  2. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 59: Japanese Technological Innovation. Implications for Large Commercial Aircraft and Knowledge Diffusion

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.; Kotler, Mindy L.

    1997-01-01

    This paper explores three factors-public policy, the Japanese (national) innovation system, and knowledge-that influence technological innovation in Japan. To establish a context for the paper, we examine Japanese culture and the U.S. and Japanese patent systems in the background section. A brief history of the Japanese aircraft industry as a source of knowledge and technology for other industries is presented. Japanese and U.S. alliances and linkages in three sectors-biotechnology, semiconductors, and large commercial aircraft (LCA)-and the importation, absorption, and diffusion of knowledge and technology are examined next. The paper closes with implications for diffusing knowledge and technology, U.S. public policy, and LCA.

  3. Translating hydrologically-relevant variables from the ice sheet model SICOPOLIS to the Greenland Analog Project hydrologic modeling domain

    NASA Astrophysics Data System (ADS)

    Vallot, Dorothée; Applegate, Patrick; Pettersson, Rickard

    2013-04-01

    Projecting future climate and ice sheet development requires sophisticated models and extensive field observations. Given the present state of our knowledge, it is very difficult to say what will happen with certainty. Despite the ongoing increase in atmospheric greenhouse gas concentrations, the possibility that a new ice sheet might form over Scandinavia in the far distant future cannot be excluded. The growth of a new Scandinavian Ice Sheet would have important consequences for buried nuclear waste repositories. The Greenland Analogue Project, initiated by the Swedish Nuclear Fuel and Waste Management Company (SKB), is working to assess the effects of a possible future ice sheet on groundwater flow by studying a constrained domain in Western Greenland by field measurements (including deep bedrock drilling in front of the ice sheet) combined with numerical modeling. To address the needs of the GAP project, we interpolated results from an ensemble of ice sheet model runs to the smaller and more finely resolved modeling domain used in the GAP project's hydrologic modeling. Three runs have been chosen with three fairly different positive degree-day factors among those that reproduced the modern ice margin at the borehole position. The interpolated results describe changes in hydrologically-relevant variables over two time periods, 115 ka to 80 ka, and 20 ka to 1 ka. In the first of these time periods, the ice margin advances over the model domain; in the second time period, the ice margin retreats over the model domain. The spatially-and temporally dependent variables that we treated include the ice thickness, basal melting rate, surface mass balance, basal temperature, basal thermal regime (frozen or thawed), surface temperature, and basal water pressure. The melt flux is also calculated.

  4. Filling Gaps in Biodiversity Knowledge for Macrofungi: Contributions and Assessment of an Herbarium Collection DNA Barcode Sequencing Project

    PubMed Central

    Osmundson, Todd W.; Robert, Vincent A.; Schoch, Conrad L.; Baker, Lydia J.; Smith, Amy; Robich, Giovanni; Mizzan, Luca; Garbelotto, Matteo M.

    2013-01-01

    Despite recent advances spearheaded by molecular approaches and novel technologies, species description and DNA sequence information are significantly lagging for fungi compared to many other groups of organisms. Large scale sequencing of vouchered herbarium material can aid in closing this gap. Here, we describe an effort to obtain broad ITS sequence coverage of the approximately 6000 macrofungal-species-rich herbarium of the Museum of Natural History in Venice, Italy. Our goals were to investigate issues related to large sequencing projects, develop heuristic methods for assessing the overall performance of such a project, and evaluate the prospects of such efforts to reduce the current gap in fungal biodiversity knowledge. The effort generated 1107 sequences submitted to GenBank, including 416 previously unrepresented taxa and 398 sequences exhibiting a best BLAST match to an unidentified environmental sequence. Specimen age and taxon affected sequencing success, and subsequent work on failed specimens showed that an ITS1 mini-barcode greatly increased sequencing success without greatly reducing the discriminating power of the barcode. Similarity comparisons and nonmetric multidimensional scaling ordinations based on pairwise distance matrices proved to be useful heuristic tools for validating the overall accuracy of specimen identifications, flagging potential misidentifications, and identifying taxa in need of additional species-level revision. Comparison of within- and among-species nucleotide variation showed a strong increase in species discriminating power at 1–2% dissimilarity, and identified potential barcoding issues (same sequence for different species and vice-versa). All sequences are linked to a vouchered specimen, and results from this study have already prompted revisions of species-sequence assignments in several taxa. PMID:23638077

  5. Filling gaps in biodiversity knowledge for macrofungi: contributions and assessment of an herbarium collection DNA barcode sequencing project.

    PubMed

    Osmundson, Todd W; Robert, Vincent A; Schoch, Conrad L; Baker, Lydia J; Smith, Amy; Robich, Giovanni; Mizzan, Luca; Garbelotto, Matteo M

    2013-01-01

    Despite recent advances spearheaded by molecular approaches and novel technologies, species description and DNA sequence information are significantly lagging for fungi compared to many other groups of organisms. Large scale sequencing of vouchered herbarium material can aid in closing this gap. Here, we describe an effort to obtain broad ITS sequence coverage of the approximately 6000 macrofungal-species-rich herbarium of the Museum of Natural History in Venice, Italy. Our goals were to investigate issues related to large sequencing projects, develop heuristic methods for assessing the overall performance of such a project, and evaluate the prospects of such efforts to reduce the current gap in fungal biodiversity knowledge. The effort generated 1107 sequences submitted to GenBank, including 416 previously unrepresented taxa and 398 sequences exhibiting a best BLAST match to an unidentified environmental sequence. Specimen age and taxon affected sequencing success, and subsequent work on failed specimens showed that an ITS1 mini-barcode greatly increased sequencing success without greatly reducing the discriminating power of the barcode. Similarity comparisons and nonmetric multidimensional scaling ordinations based on pairwise distance matrices proved to be useful heuristic tools for validating the overall accuracy of specimen identifications, flagging potential misidentifications, and identifying taxa in need of additional species-level revision. Comparison of within- and among-species nucleotide variation showed a strong increase in species discriminating power at 1-2% dissimilarity, and identified potential barcoding issues (same sequence for different species and vice-versa). All sequences are linked to a vouchered specimen, and results from this study have already prompted revisions of species-sequence assignments in several taxa.

  6. Infrastructure requirement of knowledge management system model of statistical learning tool (SLT) for education community

    NASA Astrophysics Data System (ADS)

    Abdullah, Rusli; Samah, Bahaman Abu; Bolong, Jusang; D'Silva, Jeffrey Lawrence; Shaffril, Hayrol Azril Mohamed

    2014-09-01

    Today, teaching and learning (T&L) using technology as tool is becoming more important especially in the field of statistics as a part of the subject matter in higher education system environment. Eventhough, there are many types of technology of statistical learnig tool (SLT) which can be used to support and enhance T&L environment, however, there is lack of a common standard knowledge management as a knowledge portal for guidance especially in relation to infrastructure requirement of SLT in servicing the community of user (CoU) such as educators, students and other parties who are interested in performing this technology as a tool for their T&L. Therefore, there is a need of a common standard infrastructure requirement of knowledge portal in helping CoU for managing of statistical knowledge in acquiring, storing, desseminating and applying of the statistical knowedge for their specific purposes. Futhermore, by having this infrastructure requirement of knowledge portal model of SLT as a guidance in promoting knowledge of best practise among the CoU, it can also enhance the quality and productivity of their work towards excellence of statistical knowledge application in education system environment.

  7. Formalization model of expert knowledge about a technical index level of engineering products

    NASA Astrophysics Data System (ADS)

    Zakharova, A. A.; Ostanin, V. V.

    2015-09-01

    The authors set a timely problem that concerns development of decision making models, which allow formalizing expert subjective ideas about technical index level of engineering products. The authors proposed a formalization model of expert knowledge about technical index level of engineering products on the basis of fuzzy sets. The model has a method of membership-function construction for linguistic variable terms on the basis of exponential functions.

  8. Modeling of knowledge transmission by considering the level of forgetfulness in complex networks

    NASA Astrophysics Data System (ADS)

    Cao, Bin; Han, Shui-hua; Jin, Zhen

    2016-06-01

    In this study, we establish a general model by considering the level of forgetfulness during knowledge transmission in complex networks, where the level of forgetfulness depends mainly on the number in a crowd who possess knowledge, while the saturated incidence is also considered. In theory, we analyze the stability of the equilibrium points and the transmission threshold R0 is also given. If R0 > 1, then knowledge can ​be transmitted, but if not, it will become completely extinct. In addition, we performed some numerical simulations to verify the reasonability of the theoretical analysis. The results of the simulations also suggest ​that the proportion of the crowd with knowledge will be increased under a better cultural atmosphere.

  9. Children's and adults' knowledge and models of reasoning about the ozone layer and its depletion

    NASA Astrophysics Data System (ADS)

    Leighton, Jacqueline P.; Bisanz, Gay L.

    2003-01-01

    As environmental concepts, the ozone layer and ozone hole are important to understand because they can profoundly influence our health. In this paper, we examined: (a) children's and adults' knowledge of the ozone layer and its depletion, and whether this knowledge increases with age' and (b) how the 'ozone layer' and 'ozone hole' might be structured as scientific concepts. We generated a standardized set of questions and used it to interview 24 kindergarten students, 48 Grade 3 students, 24 Grade 5 students, and 24 adults in university, in Canada. An analysis of participants' responses revealed that adults have more knowledge than children about the ozone layer and ozone hole, but both adults and children exhibit little knowledge about protecting themselves from the ozone hole. Moreover, only some participants exhibited 'mental models' in their conceptual understanding of the ozone layer and ozone hole. The implications of these results for health professionals, educators, and scientists are discussed.

  10. Future meteorological drought: projections of regional climate models for Europe

    NASA Astrophysics Data System (ADS)

    Stagge, James; Tallaksen, Lena; Rizzi, Jonathan

    2015-04-01

    In response to the major European drought events of the last decade, projecting future drought frequency and severity in a non-stationary climate is a major concern for Europe. Prior drought studies have identified regional hotspots in the Mediterranean and Eastern European regions, but have otherwise produced conflicting results with regard to future drought severity. Some of this disagreement is likely related to the relatively coarse resolution of Global Climate Models (GCMs) and regional averaging, which tends to smooth extremes. This study makes use of the most current Regional Climate Models (RCMs) forced with CMIP5 climate projections to quantify the projected change in meteorological drought for Europe during the next century at a fine, gridded scale. Meteorological drought is quantified using the Standardized Precipitation Index (SPI) and the Standardized Precipitation-Evapotranspiration Index (SPEI), which normalize accumulated precipitation and climatic water balance anomaly, respectively, for a specific location and time of year. By comparing projections for these two indices, the importance of precipitation deficits can be contrasted with the importance of evapotranspiration increases related to temperature changes. Climate projections are based on output from CORDEX (the Coordinated Regional Climate Downscaling Experiment), which provides high resolution regional downscaled climate scenarios that have been extensively tested for numerous regions around the globe, including Europe. SPI and SPEI are then calculated on a gridded scale at a spatial resolution of either 0.44 degrees (~50 km) or 0.11 degrees (~12.5km) for the three projected emission pathways (rcp26, rcp45, rcp85). Analysis is divided into two major sections: first validating the models with respect to observed historical trends in meteorological drought from 1970-2005 and then comparing drought severity and frequency during three future time periods (2011-2040, 2041-2070, 2071-2100) to the

  11. The Quebec Rural Emergency Department Project: A Cross-Sectional Study of a Potential Two-Pronged Strategy in the Knowledge Transfer Process

    PubMed Central

    Poitras, Julien; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Tanguay, Alain; Simard-Racine, Geneviève

    2015-01-01

    Introduction Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge transfer strategies designed to generate interest and engagement from potential knowledge users. The objective of this paper was to review: 1) a combined project launch and media press release strategy, and 2) a pre-study survey designed to survey potential knowledge users’ opinions on the proposed study variables. Materials and Methods We evaluated the impact of the project launch (presentation at two conferences hosted by key stakeholders) and media press release via a survey of participants/stakeholders and by calculating the number of media interview requests and reports generated. We used a pre-study survey to collect potential key stakeholder’ opinions on the study variables. Results Twenty-one of Quebec’s 26 rural EDs participated in the pre-study survey (81% participation rate). The press release about the study generated 51 press articles and 20 media request for interviews, and contributed to public awareness of a major rural research initiative. In the pre-study survey, thirteen participants (46%) mentioned prior knowledge of the research project. Results from the pre-study survey revealed that all of the potential study variables were considered to be relevant for inclusion in the research project. Respondents also proposed additional variables of interest, including factors promoting retention of human resources. Conclusions The present study demonstrated the potential utility of a two-pronged knowledge transfer strategy, including a combined formal launch and press release, and a pre-study survey designed to ensure that the included variables were of interest to participants and stakeholders. PMID:25849328

  12. The Knowledge Representation Project

    DTIC Science & Technology

    1989-07-01

    ORGANIZATION I6b. OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION USC/Information Sciences Institute (If applicable)---- 6C. ADDRESS ( City , State, and ZIP...Code) 7b. ADDRESS ( City , State, and ZIP Code) 4676 Admiralty Way Marina del Rey, CA 90292-6695---- 8a. NAME OF FUNDING/ISPONSORING Tab. OFFICE SYMBOL...9. PROCUREMENT INSTRUMENT IF ENTIFICAT N NM8:’R ORGANIZATION I (if applicable) RADC NSF IMCS-7918792 F306,r2-85-C- )22 1 Ec. ADDRESS ( City , State, and

  13. Knowledge-based immunosuppressive therapy for kidney transplant patients--from theoretical model to clinical integration.

    PubMed

    Seeling, Walter; Plischke, Max; de Bruin, Jeroen S; Schuh, Christian

    2015-01-01

    Immunosuppressive therapy is a risky necessity after a patient received a kidney transplant. To reduce risks, a knowledge-based system was developed that determines the right dosage of the immunosuppresive agent Tacrolimus. A theoretical model, to classify medication blood levels as well as medication adaptions, was created using data from almost 500 patients, and over 13.000 examinations. This model was then translated into an Arden Syntax knowledge base, and integrated directly into the hospital information system of the Vienna General Hospital. In this paper we give an overview of the construction and integration of such a system.

  14. Modeling air quality over China: Results from the Panda project

    NASA Astrophysics Data System (ADS)

    Katinka Petersen, Anna; Bouarar, Idir; Brasseur, Guy; Granier, Claire; Xie, Ying; Wang, Lili; Wang, Xuemei

    2015-04-01

    China faces strong air pollution problems related to rapid economic development in the past decade and increasing demand for energy. Air quality monitoring stations often report high levels of particle matter and ozone all over the country. Knowing its long-term health impacts, air pollution became then a pressing problem not only in China but also in other Asian countries. The PANDA project is a result of cooperation between scientists from Europe and China who joined their efforts for a better understanding of the processes controlling air pollution in China, improve methods for monitoring air quality and elaborate indicators in support of European and Chinese policies. A modeling system of air pollution is being setup within the PANDA project and include advanced global (MACC, EMEP) and regional (WRF-Chem, EMEP) meteorological and chemical models to analyze and monitor air quality in China. The poster describes the accomplishments obtained within the first year of the project. Model simulations for January and July 2010 are evaluated with satellite measurements (SCIAMACHY NO2 and MOPITT CO) and in-situ data (O3, CO, NOx, PM10 and PM2.5) observed at several surface stations in China. Using the WRF-Chem model, we investigate the sensitivity of the model performance to emissions (MACCity, HTAPv2), horizontal resolution (60km, 20km) and choice of initial and boundary conditions.

  15. MO-DE-BRA-05: Developing Effective Medical Physics Knowledge Structures: Models and Methods

    SciTech Connect

    Sprawls, P

    2015-06-15

    Purpose: Develop a method and supporting online resources to be used by medical physics educators for teaching medical imaging professionals and trainees so they develop highly-effective physics knowledge structures that can contribute to improved diagnostic image quality on a global basis. Methods: The different types of mental knowledge structures were analyzed and modeled with respect to both the learning and teaching process for their development and the functions or tasks that can be performed with the knowledge. While symbolic verbal and mathematical knowledge structures are very important in medical physics for many purposes, the tasks of applying physics in clinical imaging--especially to optimize image quality and diagnostic accuracy--requires a sensory conceptual knowledge structure, specifically, an interconnected network of visually based concepts. This type of knowledge supports tasks such as analysis, evaluation, problem solving, interacting, and creating solutions. Traditional educational methods including lectures, online modules, and many texts are serial procedures and limited with respect to developing interconnected conceptual networks. A method consisting of the synergistic combination of on-site medical physics teachers and the online resource, CONET (Concept network developer), has been developed and made available for the topic Radiographic Image Quality. This was selected as the inaugural topic, others to follow, because it can be used by medical physicists teaching the large population of medical imaging professionals, such as radiology residents, who can apply the knowledge. Results: Tutorials for medical physics educators on developing effective knowledge structures are being presented and published and CONET is available with open access for all to use. Conclusion: An adjunct to traditional medical physics educational methods with the added focus on sensory concept development provides opportunities for medical physics teachers to share

  16. Development, Implementation, and Validation of Supported Employment Model(s) for Traumatically Brain Injured Persons. Head Injury Re-entry Project (Project HIRe). Final Report.

    ERIC Educational Resources Information Center

    Thomas, Dale F.; Menz, Fredrick E.

    The final report of the Head Injury Re-entry Project (Project HIRe) describes activities of this 3-year (1987 to 1990) project, which used a "best practices" model approach and a community-based employment strategy with persons having traumatic brain injury (TBI) in nonurban areas. Among 15 project accomplishments are the following: (1)…

  17. Geomechanical/ Geochemical Modeling Studies onducted Within the International DECOVALEX Project

    SciTech Connect

    J.T. Birkholzer; J. Rutqvist; E.L. Sonnenthal; D. Barr; M.Chijimatsu; O. Kolditz; Q. Liu; Y. Oda; W. Wang; M. Xie; C. Zhang

    2006-02-01

    The DECOVALEX project is an international cooperative project initiated by SKI, the Swedish Nuclear Power Inspectorate, with participation of about 10 international organizations. The general goal of this project is to encourage multidisciplinary interactive and cooperative research on modeling coupled thermo-hydro-mechanical-chemical (THMC) processes in geologic formations in support of the performance assessment for underground storage of radioactive waste. One of the research tasks, initiated in 2004 by the U.S. Department of Energy (DOE), addresses the long-term impact of geomechanical and geochemical processes on the flow conditions near waste emplacement tunnels. Within this task, four international research teams conduct predictive analysis of the coupled processes in two generic repositories, using multiple approaches and different computer codes. Below, we give an overview of the research task and report its current status.

  18. City of Austin: Green habitat learning project. A green builder model home project

    SciTech Connect

    1995-12-01

    The purpose of the Year 14 UCETF project was to design and construct a residential structure that could serve as a demonstration facility, training site, and testing and monitoring laboratory for issues related to the implementation of sustainable building practices and materials. The Model Home Project builds on the previous and existing efforts, partially funded by the UCETF, of the City of Austin Green Builder Program to incorporate sustainable building practices into mainstream building activities. The Green Builder Program uses the term {open_quotes}green{close_quotes} as a synonym for sustainability. In the research and analysis that was completed for our earlier reports in Years 12 and 13, we characterized specific elements that we associate with sustainability and, thus, green building. In general, we refer to a modified life cycle assessment to ascertain if {open_quotes}green{close_quotes} building options reflect similar positive cyclical patterns found in nature (i.e. recyclability, recycled content, renewable resources, etc.). We additionally consider economic, human health and synergistic ecological impacts associated with our building choices and characterize the best choices as {open_quotes}green.{close_quotes} Our ultimate goal is to identify and use those {open_quotes}green{close_quotes} materials and processes that provide well for us now and do not compromise similar benefits for future generations. The original partnership developed for this project shifted during the year from a project stressing advanced (many prototypical) {open_quotes}green{close_quotes} building materials and techniques in a research and demonstration context, to off-the-shelf but underutilized {open_quotes}green{close_quotes} materials in the practical social context of using {open_quotes}green{close_quotes} technologies for low income housing. That project, discussed in this report, is called the Green Habitat Learning Project.

  19. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 49: Becoming an aerospace engineer: A cross-gender comparison

    NASA Technical Reports Server (NTRS)

    Hecht, Laura M.; Pinelli, Thomas E.; Barclay, Rebecca O.; Kennedy, John M.

    1995-01-01

    We conducted a mail (self-reported) survey of 4300 student members of the American Institute of Aeronautics and Astronautics (AIAA) during the spring of 1993 as a Phase 3 activity of the NASA/DoD Aerospace Knowledge Diffusion Research Project. The survey was designed to explore students' career goals and aspirations, communications skills training, and their use of information sources, products, and services. We received 1723 completed questionnaires for an adjusted response rate of 42%. In this article, we compare the responses of female and male aerospace engineering students in the context of two general aspects of their educational experience. First, we explore the extent to which women and men differ in regard to factors that lead to the choice to study aerospace engineering, their current level of satisfaction with that choice, and their career-related goals and aspirations. Second, we examine students' responses to questions about communications skills training and the helpfulness of that training, and their use of and the importance to them of selected information sources, products, and services. The cross-gender comparison revealed more similarities than differences. Female students appear to be more satisfied than their male counterparts with the decision to major in aerospace engineering. Both female and male student respondents consider communications skills important for professional success, but females place a higher value than males do on oral communications skills. Women students also place a higher value than men do on the roles of other students and faculty members in satisfying their needs for information.

  20. The dynamic nature of knowledge: insights from a dynamic field model of children's novel noun generalization

    PubMed Central

    Samuelson, Larissa K.; Schutte, Anne R.; Horst, Jessica S.

    2011-01-01

    The present paper examines the tie between knowledge and behavior in a noun generalization context. An experiment directly comparing noun generalizations of children at the same point in development in forced choice and yes/no tasks reveals task-specific differences in the way children's knowledge of nominal categories is brought to bear in a moment. To understand the cognitive system that produced these differences, the real-time decision processes in these tasks were instantiated in a dynamic field model. The model captures both qualitative and quantitative differences in performance across tasks and reveals constraints on the nature of children's accumulated knowledge. Additional simulations of developmental change in the yes/no task between 2 and 4 years of age illustrate how changes in children's representations translate into developmental changes in behavior. Together, the empirical data and model demonstrate the dynamic nature of knowledge and are consistent with the perspective that knowledge cannot be separated from the task-specific processes that create behavior in the moment. PMID:19131050

  1. Edge Theories in Projected Entangled Pair State Models

    NASA Astrophysics Data System (ADS)

    Yang, S.; Lehman, L.; Poilblanc, D.; Van Acoleyen, K.; Verstraete, F.; Cirac, J. I.; Schuch, N.

    2014-01-01

    We analyze the low energy excitations of spin lattice systems in two dimensions at zero temperature within the framework of projected entangled pair state models. Perturbations in the bulk give rise to physical excitations located at the edge. We identify the corresponding degrees of freedom, give a procedure to derive the edge Hamiltonian, and illustrate that it can exhibit a rich phase diagram. For topological models, the edge Hamiltonian is constrained by the topological order in the bulk, which gives rise to one-dimensional edge models with unconventional properties; for instance, a topologically ordered bulk can protect a ferromagnetic Ising chain at the edge against spontaneous symmetry breaking.

  2. Qualitative information modeling: The role of fuzzy logic in project economic evaluations

    SciTech Connect

    Warnken, P.G.

    1995-12-31

    Conventional models rely on a precise mathematical formalism to express the quantitative essentials of the system being modeled. In contrast, decisionmakers in the real world employ cognitive skills to process information and arrive at decisions based on judgement and experience. Bridging the gap between the two analytic approaches -- that is, formulating intelligent models -- has met with very limited success using traditional computational methods. The difficulty stems from two problems. First, imprecision, which is the distinguishing feature of qualitative factors, is an information attribute that is not easily computable using the rules of traditional set theory and Boolean (bivalent) logic. Second, cognitive information processing is cumbersome using the numerical rule-based approaches common in today`s expert systems. Fuzzy models overcome these problems by employing new mathematical rules for expressing and processing knowledge. These rules are based on fuzzy logic. Fuzzy logic is the formal symbolic language used to represent linguistic terms and verbal rules for computational and modeling purposes. This language provides model builders with the means to incorporate subjective judgements, imprecise information, and human reasoning capabilities as part of a model`s framework. This paper outlines the concepts needed to understand fuzzy modeling systems. The key concepts discussed include fuzzy sets, fuzzy logical operators, linguistic variables, and verbal rules. A simple fuzzy economic rating model for project investments is presented to demonstrate the fuzzy modeling technique. Finally, the paper discusses the role of fuzzy logic in the economic modeling process.

  3. The Joint Venture Model of Knowledge Utilization: a guide for change in nursing.

    PubMed

    Edgar, Linda; Herbert, Rosemary; Lambert, Sylvie; MacDonald, Jo-Ann; Dubois, Sylvie; Latimer, Margot

    2006-05-01

    Knowledge utilization (KU) is an essential component of today's nursing practice and healthcare system. Despite advances in knowledge generation, the gap in knowledge transfer from research to practice continues. KU models have moved beyond factors affecting the individual nurse to a broader perspective that includes the practice environment and the socio-political context. This paper proposes one such theoretical model the Joint Venture Model of Knowledge Utilization (JVMKU). Key components of the JVMKU that emerged from an extensive multidisciplinary review of the literature include leadership, emotional intelligence, person, message, empowered workplace and the socio-political environment. The model has a broad and practical application and is not specific to one type of KU or one population. This paper provides a description of the JVMKU, its development and suggested uses at both local and organizational levels. Nurses in both leadership and point-of-care positions will recognize the concepts identified and will be able to apply this model for KU in their own workplace for assessment of areas requiring strengthening and support.

  4. Diagnosis by integrating model-based reasoning with knowledge-based reasoning

    NASA Technical Reports Server (NTRS)

    Bylander, Tom

    1988-01-01

    Our research investigates how observations can be categorized by integrating a qualitative physical model with experiential knowledge. Our domain is diagnosis of pathologic gait in humans, in which the observations are the gait motions, muscle activity during gait, and physical exam data, and the diagnostic hypotheses are the potential muscle weaknesses, muscle mistimings, and joint restrictions. Patients with underlying neurological disorders typically have several malfunctions. Among the problems that need to be faced are: the ambiguity of the observations, the ambiguity of the qualitative physical model, correspondence of the observations and hypotheses to the qualitative physical model, the inherent uncertainty of experiential knowledge, and the combinatorics involved in forming composite hypotheses. Our system divides the work so that the knowledge-based reasoning suggests which hypotheses appear more likely than others, the qualitative physical model is used to determine which hypotheses explain which observations, and another process combines these functionalities to construct a composite hypothesis based on explanatory power and plausibility. We speculate that the reasoning architecture of our system is generally applicable to complex domains in which a less-than-perfect physical model and less-than-perfect experiential knowledge need to be combined to perform diagnosis.

  5. Leveraging students' prior knowledge in attaining deep structural understanding of domain general models

    NASA Astrophysics Data System (ADS)

    Swanson, Hillary Lucille

    The Next Generation Science Standards charge U.S. teachers with the task of including patterns, as a crosscutting concept, in their science curricula. This study explores the learning processes and outcomes of a pattern-based curriculum that engages middle school students in the construction of models of particular patterns. These patterns are general behaviors or processes that can be found in a range of phenomena; examples of such patterns include threshold, equilibration, and oscillation. The study investigates 1) the development of students' pattern models in response to instruction, 2) the productivity of prior knowledge in students' construction of pattern models and 3) the features of instruction that support the process of pattern model construction. It addresses research questions through analysis of data collected during the implementation of a pattern-based curriculum. Findings show that students have a wealth of prior knowledge that can be leveraged by instruction toward their construction of models of threshold, equilibration, and oscillation patterns. These findings contribute to literatures concerned with deep structural and domain-general knowledge, the productive role of prior knowledge in conceptual change, and the design of constructivist instruction.

  6. Preservation of Records, Knowledge and Memory Across Generations. An emerging Multidisciplinary Work Area and an NEA Project - 12218

    SciTech Connect

    Schroeder, Jantine; Pescatore, Claudio

    2012-07-01

    Disposal in engineered facilities built in stable, deep geological formations is the reference means for permanently isolating long-lived radioactive waste from the human biosphere. This management method is designed to be intrinsically safe and final, i.e. not dependent on human presence and intervention in order to fulfil its safety goal. There is however no intention to forgo, at any time, knowledge and awareness either of the repository or of the waste that it contains. The preservation of Records, Knowledge and Memory (RK and M) is seen as an integral part of radioactive waste management, supporting lengthy and complex socio-technical processes across pre-operational, operational and post-operational lifetimes. Long-term preservation of RK and M is an emerging multidisciplinary work area in which much learning is expected over the coming years. Novel methods are being sought that are least vulnerable to both natural degradation and to changes in socio-economic conditions. Progress has been made in individual countries, but there is a need to internationalise the thinking, compare approaches, investigate potential solutions and share decisions. This is the task of the NEA RK and M project. A major outcome of the project will be a 'menu-driven document' that will allow people to identify the main elements of a strategic action plan for RK and M preservation. In sum, the preservation of RK and M is a unprecedented task in which technical, scientific and social information is interwoven and needs to be developed and preserved across generations and across specialist boundaries. Important studies have been undertaken in the past decades to explore a variety of approaches to preserving RK and M across different timescales, including archives and markers. The work of the past in this area is useful, but innovative thinking is also needed. Seen from today's perspective, very little work is available on for example the contextualization of data for later use; on the

  7. NASA/DoD Aerospace Knowledge Diffusion Research Project. Report Number 9. Summary Report to Phase 3 Faculty and Student Respondents Including Frequency Distributions

    DTIC Science & Technology

    1991-06-01

    Information Quarterly Volume 8, No 2 (1991): 219-233. 7 FREQUENCY DISTRIBUTIONS OF RESPONDENTS’ ANSWERS The following tables reflect the actual number of...Thomas E.; John M. Kennedy; and Rebecca 0. Barclay. The NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 10. Reprinted from Government

  8. Applying Systems Thinking via Systemigrams(TM) for Defining the Body of Knowledge and Curriculum to Advance Systems Engineering (BKCASE) Project

    DTIC Science & Technology

    2010-01-01

    Systems thinking is commonly accepted as the backbone of a successful systems engineering approach. As such, the Body of Knowledge and Curriculum to...Advance Systems Engineering (BKCASE) team chose to leverage a systems thinking based tool called Systemitool, to describe our project to the vast

  9. The Longitudinal Effects of Study Abroad Programs on Teachers' Content Knowledge and Perspectives: Fulbright-Hays Group Projects Abroad in Botswana and Southeast Asia

    ERIC Educational Resources Information Center

    Biraimah, Karen L.; Jotia, Agreement Lathi

    2013-01-01

    The goal of this study was to assess the longitudinal effectiveness and impact of study abroad programs on teachers' content knowledge and professional perspectives. The study focused on a recent Fulbright-Hays Group Project Abroad to Botswana (summer 2011) and compares results with an earlier Fulbright-Hays program to Singapore and Malaysia…

  10. Development and Validation of a Measure of Elementary Teachers' Science Content Knowledge in Two Multiyear Teacher Professional Development Intervention Projects

    ERIC Educational Resources Information Center

    Maerten-Rivera, Jaime Lynn; Huggins-Manley, Anne Corinne; Adamson, Karen; Lee, Okhee; Llosa, Lorena

    2015-01-01

    Using data collected from two multiyear teacher professional development projects employing randomized control trials, this study describes the development and validation of a paper-based test of elementary teachers' science content knowledge (SCK). Evidence of construct validity is presented, including evidence on internal structural…

  11. Preparing the Next Generations of Technology Project Managers to Lead through Knowledge Sharing: A Case Study at a Large Transportation Company

    ERIC Educational Resources Information Center

    Kargbo, Michelle

    2013-01-01

    The purpose of this research was to identify knowledge transfer gaps and current practices, prepare current project managers to accept the challenges associated with leadership opportunities that are coming available due to retirements through cross training efforts and succession planning, and to identify the proper management of knowledge…

  12. The Impact of Socio-environmental Projects of Jewish and Bedouin Youth in Israel on Students' Local Knowledge and Views of Each Other

    NASA Astrophysics Data System (ADS)

    Alkaher, Iris; Tal, Tali

    2014-02-01

    This study is part of a first study of collaborative socio-environmental projects that engage Jewish and Arab students in Israel in learning about their local environment and about each other through outdoor learning and environmental action. We used ideas of social learning and environmental citizenship to frame our research. We investigated students' knowledge regarding their local environment and their knowledge of each other's community. We also studied the participants' views regarding their project-partners'environmental knowledge, awareness and behaviour in comparison to their own. Initially, differences were found regarding various aspects of the students' socio-environmental knowledge and in students' views of their counterparts' environmentalism. At the end of the projects, students showed better understanding of local socio-environmental issues and demonstrated changes in their original views towards the environmental awareness and behaviour of their counterparts. These findings suggest that projects which involve students from segregated communities not only promote environmental awareness but contribute to a reduction in mutual prejudices. We suggest that the differences we found are not related to ethnicity, but rather to students' socioeconomic status and experience in environmental education programmes.

  13. Development of a NASA Integrated Technical Workforce Career Development Model Entitled Requisite Occupation Competencies and Knowledge -- the ROCK

    NASA Technical Reports Server (NTRS)

    Menrad, Robert J.; Larson, Wiley J.

    2008-01-01

    This paper shares the findings of NASA's Integrated Learning and Development Program (ILDP) in its effort to reinvigorate the HANDS-ON practice of space systems engineering and project/program management through focused coursework, training opportunities, on-the job learning and special assignments. Prior to March 2005, NASA responsibility for technical workforce development (the program/project manager, systems engineering, discipline engineering, discipline engineering and associated communities) was executed by two parallel organizations. In March 2005 these organizations merged. The resulting program-ILDP-was chartered to implement an integrated competency-based development model capable of enhancing NASA's technical workforce performance as they face the complex challenges of Earth science, space science, aeronautics and human spaceflight missions. Results developed in collaboration with NASA Field Centers are reported on. This work led to definition of the agency's first integrated technical workforce development model known as the Requisite Occupation Competence and Knowledge (the ROCK). Critical processes and products are presented including: 'validation' techniques to guide model development, the Design-A-CUrriculuM (DACUM) process, and creation of the agency's first systems engineering body-of-knowledge. Findings were validated via nine focus groups from industry and government, validated with over 17 space-related organizations, at an estimated cost exceeding $300,000 (US). Masters-level programs and training programs have evolved to address the needs of these practitioner communities based upon these results. The ROCK reintroduced rigor and depth to the practitioner's development in these critical disciplines enabling their ability to take mission concepts from imagination to reality.

  14. Knowledge discovery in clinical databases based on variable precision rough set model.

    PubMed Central

    Tsumoto, S.; Ziarko, W.; Shan, N.; Tanaka, H.

    1995-01-01

    Since a large amount of clinical data are being stored electronically, discovery of knowledge from such clinical databases is one of the important growing research area in medical informatics. For this purpose, we develop KDD-R (a system for Knowledge Discovery in Databases using Rough sets), an experimental system for knowledge discovery and machine learning research using variable precision rough sets (VPRS) model, which is an extension of original rough set model. This system works in the following steps. First, it preprocesses databases and translates continuous data into discretized ones. Second, KDD-R checks dependencies between attributes and reduces spurious data. Third, the system computes rules from reduced databases. Finally, fourth, it evaluates decision making. For evaluation, this system is applied to a clinical database of meningoencephalitis, whose computational results show that several new findings are obtained. PMID:8563283

  15. Improving Prospective Teachers' Knowledge about Scientific Models and Modelling: Design and evaluation of a teacher education intervention

    NASA Astrophysics Data System (ADS)

    Danusso, Luciana; Testa, Italo; Vicentini, Matilde

    2010-05-01

    Evidence of the role of models in the teaching/learning process in science education is well documented in literature. A crucial role in this process is played by teachers. It is therefore important to design teacher education intervention focused on models and modelling. Although recognized as important by many authors, few attempts have been carried out and with a limited success. This paper reports of a three-year-long study whose aims can be summarized as follows: to investigate the knowledge of scientific models and modelling of physics, mathematics, and engineering prospective teachers; to explore the effectiveness of a research-based teacher education intervention aimed at improving knowledge about scientific models and modelling; to inspect the effects of a refinement process of the intervention based on a design-trial-redesign cycle. About 400 prospective teachers from two Italian universities were involved in the study. The results show that the knowledge about models and modelling of prospective teachers after the four- or five-year degree diploma is still rather poor and confused. On the other hand, the implementation results support the effectiveness of the designed intervention and of the refinement process. Implications which may give a contribution to more general research problems related to models and modelling in science education are also discussed.

  16. Pataha Creek Model Watershed : 1999 Habitat Conservation Projects.

    SciTech Connect

    Bartels, Duane G.

    2000-10-01

    The projects outlined in detail on the attached project reports are a summary of the many projects implemented in the Pataha Creek Model Watershed since it was selected as a model in 1993. Up until last year, demonstration sites using riparian fencing, off site watering facilities, tree and shrub plantings and upland conservation practices were used for information and education and was the main focus of the implementation phase of the watershed plan. These practices are the main focus of the watershed plan to reduce the majority of the sediment entering the stream. However, the watershed stream evaluation team used in the watershed analysis determined that there were problems along the Pataha Creek that needed to be addressed that would add further protection to the banks and therefore a further reduction of sedimentation into the stream. 1999 was a year where a focused effort was made to work on the upland conservation practices to reduce the sedimentation into Pataha Creek. Over 95% of the sediment entering the stream can be tied directly to the upland and riparian areas of the watershed. In stream work was not addressed this year because of the costs associated with these projects and the low impact of the sediment issue concerning Pataha Creeks impact on Chinook Salmon in the Tucannon River.

  17. Advanced Ground Systems Maintenance Physics Models For Diagnostics Project

    NASA Technical Reports Server (NTRS)

    Perotti, Jose M.

    2015-01-01

    The project will use high-fidelity physics models and simulations to simulate real-time operations of cryogenic and systems and calculate the status/health of the systems. The project enables the delivery of system health advisories to ground system operators. The capability will also be used to conduct planning and analysis of cryogenic system operations. This project will develop and implement high-fidelity physics-based modeling techniques tosimulate the real-time operation of cryogenics and other fluids systems and, when compared to thereal-time operation of the actual systems, provide assessment of their state. Physics-modelcalculated measurements (called “pseudo-sensors”) will be compared to the system real-timedata. Comparison results will be utilized to provide systems operators with enhanced monitoring ofsystems' health and status, identify off-nominal trends and diagnose system/component failures.This capability can also be used to conduct planning and analysis of cryogenics and other fluidsystems designs. This capability will be interfaced with the ground operations command andcontrol system as a part of the Advanced Ground Systems Maintenance (AGSM) project to helpassure system availability and mission success. The initial capability will be developed for theLiquid Oxygen (LO2) ground loading systems.

  18. Regional Climate Model Projection Credibility for the North American Monsoon

    NASA Astrophysics Data System (ADS)

    Bukovsky, M. S.; Carrillo, C. M.; Gochis, D. J.; Mearns, L. O.

    2014-12-01

    Climate change projections from the North American Regional Climate Change Assessment Program (NARCCAP) suite of regional climate model (RCM) simulations for the North American monsoon system are assessed herein. We focus on changes in precipitation and the many factors effecting the projections. The end goal of our in-depth, process-based assessment is to establish the differential credibility of the ensemble members. In the end, there is a deceptively strong full-ensemble agreement for a decrease in precipitation during the monsoon season. Bias is considerably affecting many of the model projections, and we find that the simulations that are the most biased, in varying ways, in the baseline/current climate, produce the greatest decreases. Problems in the baseline simulations and projections include those related to: atmospheric moisture content, the monsoon high, the Gulf of California low-level jet, tropical easterly waves, the El Niño Southern Oscillation, precipitation intensity, and other features/phenomena. This presentation will provide a summary of our findings.

  19. Influence of climate model variability on projected Arctic shipping futures

    NASA Astrophysics Data System (ADS)

    Stephenson, Scott R.; Smith, Laurence C.

    2015-11-01

    Though climate models exhibit broadly similar agreement on key long-term trends, they have significant temporal and spatial differences due to intermodel variability. Such variability should be considered when using climate models to project the future marine Arctic. Here we present multiple scenarios of 21st-century Arctic marine access as driven by sea ice output from 10 CMIP5 models known to represent well the historical trend and climatology of Arctic sea ice. Optimal vessel transits from North America and Europe to the Bering Strait are estimated for two periods representing early-century (2011-2035) and mid-century (2036-2060) conditions under two forcing scenarios (RCP 4.5/8.5), assuming Polar Class 6 and open-water vessels with medium and no ice-breaking capability, respectively. Results illustrate that projected shipping viability of the Northern Sea Route (NSR) and Northwest Passage (NWP) depends critically on model choice. The eastern Arctic will remain the most reliably accessible marine space for trans-Arctic shipping by mid-century, while outcomes for the NWP are particularly model-dependent. Omitting three models (GFDL-CM3, MIROC-ESM-CHEM, and MPI-ESM-MR), our results would indicate minimal NWP potential even for routes from North America. Furthermore, the relative importance of the NSR will diminish over time as the number of viable central Arctic routes increases gradually toward mid-century. Compared to vessel class, climate forcing plays a minor role. These findings reveal the importance of model choice in devising projections for strategic planning by governments, environmental agencies, and the global maritime industry.

  20. Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data

    PubMed Central

    Liu, Hui; Zhang, Fan; Mishra, Shital Kumar; Zhou, Shuigeng; Zheng, Jie

    2016-01-01

    Modeling of signaling pathways is crucial for understanding and predicting cellular responses to drug treatments. However, canonical signaling pathways curated from literature are seldom context-specific and thus can hardly predict cell type-specific response to external perturbations; purely data-driven methods also have drawbacks such as limited biological interpretability. Therefore, hybrid methods that can integrate prior knowledge and real data for network inference are highly desirable. In this paper, we propose a knowledge-guided fuzzy logic network model to infer signaling pathways by exploiting both prior knowledge and time-series data. In particular, the dynamic time warping algorithm is employed to measure the goodness of fit between experimental and predicted data, so that our method can model temporally-ordered experimental observations. We evaluated the proposed method on a synthetic dataset and two real phosphoproteomic datasets. The experimental results demonstrate that our model can uncover drug-induced alterations in signaling pathways in cancer cells. Compared with existing hybrid models, our method can model feedback loops so that the dynamical mechanisms of signaling networks can be uncovered from time-series data. By calibrating generic models of signaling pathways against real data, our method supports precise predictions of context-specific anticancer drug effects, which is an important step towards precision medicine. PMID:27774993

  1. Knowledge-guided fuzzy logic modeling to infer cellular signaling networks from proteomic data

    NASA Astrophysics Data System (ADS)

    Liu, Hui; Zhang, Fan; Mishra, Shital Kumar; Zhou, Shuigeng; Zheng, Jie

    2016-10-01

    Modeling of signaling pathways is crucial for understanding and predicting cellular responses to drug treatments. However, canonical signaling pathways curated from literature are seldom context-specific and thus can hardly predict cell type-specific response to external perturbations; purely data-driven methods also have drawbacks such as limited biological interpretability. Therefore, hybrid methods that can integrate prior knowledge and real data for network inference are highly desirable. In this paper, we propose a knowledge-guided fuzzy logic network model to infer signaling pathways by exploiting both prior knowledge and time-series data. In particular, the dynamic time warping algorithm is employed to measure the goodness of fit between experimental and predicted data, so that our method can model temporally-ordered experimental observations. We evaluated the proposed method on a synthetic dataset and two real phosphoproteomic datasets. The experimental results demonstrate that our model can uncover drug-induced alterations in signaling pathways in cancer cells. Compared with existing hybrid models, our method can model feedback loops so that the dynamical mechanisms of signaling networks can be uncovered from time-series data. By calibrating generic models of signaling pathways against real data, our method supports precise predictions of context-specific anticancer drug effects, which is an important step towards precision medicine.

  2. Knowledge-based and statistically modeled relationships between residential moisture damage and occupant reported health symptoms

    NASA Astrophysics Data System (ADS)

    Haverinen, Ulla; Vahteristo, Mikko; Moschandreas, Demetrios; Nevalainen, Aino; Husman, Tuula; Pekkanen, Juha

    This study continues to develop a quantitative indicator of moisture damage induced exposure in relation to occupant health in residential buildings. Earlier, we developed a knowledge-based model that links moisture damage variables with health symptoms. This paper presents a statistical model in an effort to improve the knowledge-based model, and formulates a third, simplified model that combines aspects of the both two models. The database used includes detailed information on moisture damage from 164 houses and health questionnaire data from the occupants. Models were formulated using generalized linear model formulation procedures, with 10 moisture damage variables as possible covariates and a respiratory health symptom score as the dependent variable. An 80% random sample of the residences was used for the formulation of models and the remaining 20% were used to evaluate them. Risk ratios (RR) for the respiratory health symptom score among the 80% sample were between 1.32 (1.12-1.55) and 1.48 (1.19-1.83), calculated per 10 points index increase. For the 20% sample, RRs were between 1.71 (1.13-2.58) and 2.34 (1.69-3.23), respectively. Deviance values in relation to degrees of freedom were between 2.00-2.12 (80% sample) and 1.50-1.81 (20% sample). The models developed can be simulated as continuous variables and they all associated significantly with the symptom score, the association being verified with a subset of the database not employed in the model formulation. We concluded that the performance of all models was similar. Therefore, based on the knowledge-based and statistical models, we were able to construct a simple model that can be used in estimating the severity of moisture damage.

  3. Model projections of atmospheric steering of Sandy-like superstorms.

    PubMed

    Barnes, Elizabeth A; Polvani, Lorenzo M; Sobel, Adam H

    2013-09-17

    Superstorm Sandy ravaged the eastern seaboard of the United States, costing a great number of lives and billions of dollars in damage. Whether events like Sandy will become more frequent as anthropogenic greenhouse gases continue to increase remains an open and complex question. Here we consider whether the persistent large-scale atmospheric patterns that steered Sandy onto the coast will become more frequent in the coming decades. Using the Coupled Model Intercomparison Project, phase 5 multimodel ensemble, we demonstrate that climate models consistently project a decrease in the frequency and persistence of the westward flow that led to Sandy's unprecedented track, implying that future atmospheric conditions are less likely than at present to propel storms westward into the coast.

  4. Model projections of atmospheric steering of Sandy-like superstorms

    PubMed Central

    Barnes, Elizabeth A.; Polvani, Lorenzo M.; Sobel, Adam H.

    2013-01-01

    Superstorm Sandy ravaged the eastern seaboard of the United States, costing a great number of lives and billions of dollars in damage. Whether events like Sandy will become more frequent as anthropogenic greenhouse gases continue to increase remains an open and complex question. Here we consider whether the persistent large-scale atmospheric patterns that steered Sandy onto the coast will become more frequent in the coming decades. Using the Coupled Model Intercomparison Project, phase 5 multimodel ensemble, we demonstrate that climate models consistently project a decrease in the frequency and persistence of the westward flow that led to Sandy’s unprecedented track, implying that future atmospheric conditions are less likely than at present to propel storms westward into the coast. PMID:24003129

  5. A Novice-Expert Study of Modeling Skills and Knowledge Structures about Air Quality

    ERIC Educational Resources Information Center

    Hsu, Ying-Shao; Lin, Li-Fen; Wu, Hsin-Kai; Lee, Dai-Ying; Hwang, Fu-Kwun

    2012-01-01

    This study compared modeling skills and knowledge structures of four groups as seen in their understanding of air quality. The four groups were: experts (atmospheric scientists), intermediates (upper-level graduate students in a different field), advanced novices (talented 11th and 12th graders), and novices (10th graders). It was found that when…

  6. University Student Knowledge of Alcohol: A Collaborative Model of Assessment and Intervention.

    ERIC Educational Resources Information Center

    Minatoya, Lydia Yuriko; And Others

    1983-01-01

    Surveyed college students' (N=180) knowledge of the effects of alcohol. The collaborative effort between a university counseling center and health center showed that while 70 percent of the students rated themselves as informed drinkers, their answers were less accurate. The study also provided a model of innovative collaboration. (JAC)

  7. Preservice Teachers' Pedagogical Content Knowledge of Using Particle Models in Teaching Chemistry

    ERIC Educational Resources Information Center

    De Jong, Onno; Van Driel, Jan H.; Verloop, Nico

    2005-01-01

    In this article, we describe the results of a study of the pedagogical content knowledge (PCK) of preservice chemistry teachers in the context of a postgraduate teacher education program. A group of preservice teachers (n = 12) took part in an experimental introductory course module about the use of particle models to help secondary school…

  8. Comments on Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"

    ERIC Educational Resources Information Center

    McCluskey, Ken W.

    2010-01-01

    This article presents the author's comments on Hisham B. Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" Ghassib's article focuses on the transformation of science from pre-modern times to the present. Ghassib (2010) notes that, unlike in an earlier era when the economy depended on static…

  9. Products Depend on Creative Potential: A Comment on the Productivist Industrial Model of Knowledge Production

    ERIC Educational Resources Information Center

    Runco, Mark A.

    2010-01-01

    Ghassib (2010) presents a provocative view of science as industry. He ties science specifically to a "productivist" industrial model and to knowledge production. If judged based on what is explicit in this article, his theory is useful and logical. There are, however, several concerns as well. Some of these are implied by the title of his article,…

  10. Critique of "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"

    ERIC Educational Resources Information Center

    Harris, Carole Ruth

    2010-01-01

    This article presents the author's comments on Hisham Ghassib's article entitled "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?" In his article, Ghassib (2010) provides an overview of the philosophical foundations that led to exact science, its role in what was later to become a driving force in the modern…

  11. Using the Mixture Rasch Model to Explore Knowledge Resources Students Invoke in Mathematic and Science Assessments

    ERIC Educational Resources Information Center

    Zhang, Danhui; Orrill, Chandra; Campbell, Todd

    2015-01-01

    The purpose of this study was to investigate whether mixture Rasch models followed by qualitative item-by-item analysis of selected Programme for International Student Assessment (PISA) mathematics and science items offered insight into knowledge students invoke in mathematics and science separately and combined. The researchers administered an…

  12. The University in the Knowledge Economy: The Triple Helix Model and Its Implications

    ERIC Educational Resources Information Center

    Zheng, Peijun; Harris, Michael

    2007-01-01

    In the context of the global knowledge economy, the three major players--university, industry, and government--are becoming increasingly interdependent. As more intensified interactions and relationships of increasing complexity among the institutions evolve, the Triple Helix model attempts to describe not only interactions among university,…

  13. Silencing the Center: Local Knowledge and Imported Model in Learning Disabilities

    ERIC Educational Resources Information Center

    Bazna, Maysaa

    2009-01-01

    This qualitative study investigates the interaction between local and imported knowledges in a specific case of transnational importation; the whole-sale importation of the American medical learning disabilities (LDs) model in Kuwait. A discourse analysis of the narratives of local educators at the only school for LDs in the country reveals a…

  14. Effective Civic Education: An Educational Effectiveness Model for Explaining Students' Civic Knowledge

    ERIC Educational Resources Information Center

    Isac, Maria Magdalena; Maslowski, Ralf; van der Werf, Greetje

    2011-01-01

    In this study, a comprehensive educational effectiveness model is tested in relation to student's civic knowledge. Multilevel analysis was applied on the dataset of the IEA Civic Education Study (CIVED; Torney-Purta, Lehmann, Oswald, & Schulz, 2001), which was conducted among junior secondary-school students (age 14), their schools, and their…

  15. Effectiveness of the Sport Education Fitness Model on Fitness Levels, Knowledge, and Physical Activity

    ERIC Educational Resources Information Center

    Pritchard, Tony; Hansen, Andrew; Scarboro, Shot; Melnic, Irina

    2015-01-01

    The purpose of this study was to investigate changes in fitness levels, content knowledge, physical activity levels, and participants' perceptions following the implementation of the sport education fitness model (SEFM) at a high school. Thirty-two high school students participated in 20 lessons using the SEFM. Aerobic capacity, muscular…

  16. Towards a reference plant trait ontology for modeling knowledge of plant traits and phenotypes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Ontology engineering and knowledge modeling for the plant sciences is expected to contribute to the understanding of the basis of plant traits that determine phenotypic expression in a given environment. Several crop- or clade-specific plant trait ontologies have been developed to describe plant tr...

  17. Knowledge Restructuring in Biology: Testing a Punctuated Model of Conceptual Change

    ERIC Educational Resources Information Center

    Mintzes, Joel; Quinn, Heather J.

    2007-01-01

    Emerging from a human constructivist view of learning and a punctuated model of conceptual change, these studies explored differences in the structural complexity and content validity of knowledge about prehistoric life depicted in concept maps by learners ranging in age from approximately 10 to 20 years. Study 1 (cross-age) explored the…

  18. Using the Community of Inquiry Model to Investigate Students' Knowledge Construction in Asynchronous Online Discussions

    ERIC Educational Resources Information Center

    Liu, Chien-Jen; Yang, Shu Ching

    2014-01-01

    This study used the Community of Inquiry (CoI) model proposed by Garrison to investigate students' level of knowledge construction in asynchronous discussions. The participants included 36 senior students (27 males) majoring in information management. The students attended 18 weeks of an online information ethics course. In this study, four types…

  19. Integrating Knowledge Management into Organisational Learning: A Review of Concepts and Models

    ERIC Educational Resources Information Center

    Pun, Kit Fai; Nathai-Balkissoon, Marcia

    2011-01-01

    Purpose: This paper aims to review the concepts and constructs of some common models and frameworks advocated for knowledge management (KM) and organisational learning (OL) in literature. It sets forth a critical enquiry towards the integration of KM and OL practices and their relationship with the concepts of the learning organisation (LO) and…

  20. An Inductive Model to Secondary School Business Education: A Bridge to Business Knowledge.

    ERIC Educational Resources Information Center

    Mescon, Timothy S.; Vozikis, George S.

    1980-01-01

    Examines the absence of materials focusing on the pragmatic aspects of business, a comprehensive business education model, and specific examples of injecting realism into the classroom. Advocates combining elementary economics with basic business principles to effectively bridge the business knowledge gap. (JOW)

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

    PubMed

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

    2015-01-01

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

  2. Projected shell model study of band structure of 90Nb

    NASA Astrophysics Data System (ADS)

    Kumar, Amit; Singh, Dhanvir; Gupta, Anuradha; Singh, Suram; Bharti, Arun

    2016-05-01

    A systematic study of two-quasiparticle bands of the odd-odd 90Nb nucleus is performed using the projected shell model approach. Yrast band with some other bands have been obtained and back-bending in moment of inertia has also been calculated and compared with the available experimental. On comparing the available experimental data, it is found that the treatment with PSM provides a satisfactory explanation of the available data.

  3. SMART (Shop floor Modeling, Analysis and Reporting Tool Project

    NASA Technical Reports Server (NTRS)

    Centeno, Martha A.; Garcia, Maretys L.; Mendoza, Alicia C.; Molina, Louis A.; Correa, Daisy; Wint, Steve; Doice, Gregorie; Reyes, M. Florencia

    1999-01-01

    This document presents summarizes the design and prototype of the Shop floor Modeling, Analysis, and Reporting Tool (S.M.A.R.T.) A detailed description of it is found on the full documentation given to the NASA liaison. This documentation is also found on the A.R.I.S.E. Center web site, under a projected directory. Only authorized users can gain access to this site.

  4. Modelling of classification rules on metabolic patterns including machine learning and expert knowledge.

    PubMed

    Baumgartner, Christian; Böhm, Christian; Baumgartner, Daniela

    2005-04-01

    Machine learning has a great potential to mine potential markers from high-dimensional metabolic data without any a priori knowledge. Exemplarily, we investigated metabolic patterns of three severe metabolic disorders, PAHD, MCADD, and 3-MCCD, on which we constructed classification models for disease screening and diagnosis using a decision tree paradigm and logistic regression analysis (LRA). For the LRA model-building process we assessed the relevance of established diagnostic flags, which have been developed from the biochemical knowledge of newborn metabolism, and compared the models' error rates with those of the decision tree classifier. Both approaches yielded comparable classification accuracy in terms of sensitivity (>95.2%), while the LRA models built on flags showed significantly enhanced specificity. The number of false positive cases did not exceed 0.001%.

  5. Local versus global knowledge in the Barabási-Albert scale-free network model.

    PubMed

    Gómez-Gardeñes, Jesús; Moreno, Yamir

    2004-03-01

    The scale-free model of Barabási and Albert (BA) gave rise to a burst of activity in the field of complex networks. In this paper, we revisit one of the main assumptions of the model, the preferential attachment (PA) rule. We study a model in which the PA rule is applied to a neighborhood of newly created nodes and thus no global knowledge of the network is assumed. We numerically show that global properties of the BA model such as the connectivity distribution and the average shortest path length are quite robust when there is some degree of local knowledge. In contrast, other properties such as the clustering coefficient and degree-degree correlations differ and approach the values measured for real-world networks.

  6. Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects

    SciTech Connect

    White, Signe K.; Gosink, Luke J.; Sivaramakrishnan, Chandrika; Black, Gary D.; Purohit, Sumit; Bacon, Diana H.; Hou, Zhangshuan; Lin, Guang; Gorton, Ian; Bonneville, Alain

    2013-08-06

    Numerical simulation is a standard practice used to support designing, operating, and monitoring CO2 injection projects. Although a variety of computational tools have been developed that support the numerical simulation process, many are single-purpose or platform specific and have a prescribed workflow that may or may not be suitable for a particular project. We are developing an open-source, flexible framework named Velo that provides a knowledge management infrastructure and tools to support modeling and simulation for various types of projects in a number of scientific domains. The Geologic Sequestration Software Suite (GS3) is a version of this framework with features and tools specifically tailored for geologic sequestration studies. Because of its general nature, GS3 is being employed in a variety of ways on projects with differing goals. GS3 is being used to support the Sim-SEQ international model comparison study, by providing a collaborative framework for the modeling teams and providing tools for model comparison. Another customized deployment of GS3 has been made to support the permit application process. In this case, GS3 is being used to manage data in support of conceptual model development and provide documentation and provenance for numerical simulations. An additional customized deployment of GS3 is being created for use by the United States Environmental Protection Agency (US-EPA) to aid in the CO2 injection permit application review process in one of its regions. These use cases demonstrate GS3’s flexibility, utility, and broad applicability

  7. Understanding the Role of Representation in Interorganizational Knowledge Integration: A Case Study of an IT Outsourcing Project

    ERIC Educational Resources Information Center

    Werr, Andreas; Runsten, Philip

    2013-01-01

    Purpose: The current paper aims at contributing to the understanding of interorganizational knowledge integration by highlighting the role of individuals' understandings of the task and how they shape knowledge integrating behaviours. Design/methodology/approach: The paper presents a framework of knowledge integration as heedful interrelating.…

  8. Atomic Data and Modelling for Fusion: the ADAS Project

    SciTech Connect

    Summers, H. P.; O'Mullane, M. G.

    2011-05-11

    The paper is an update on the Atomic Data and Analysis Structure, ADAS, since ICAM-DATA06 and a forward look to its evolution in the next five years. ADAS is an international project supporting principally magnetic confinement fusion research. It has participant laboratories throughout the world, including ITER and all its partner countries. In parallel with ADAS, the ADAS-EU Project provides enhanced support for fusion research at Associated Laboratories and Universities in Europe and ITER. OPEN-ADAS, sponsored jointly by the ADAS Project and IAEA, is the mechanism for open access to principal ADAS atomic data classes and facilitating software for their use. EXTENDED-ADAS comprises a variety of special, integrated application software, beyond the purely atomic bounds of ADAS, tuned closely to specific diagnostic analyses and plasma models.The current scientific content and scope of these various ADAS and ADAS related activities are briefly reviewed. These span a number of themes including heavy element spectroscopy and models, charge exchange spectroscopy, beam emission spectroscopy and special features which provide a broad baseline of atomic modelling and support. Emphasis will be placed on 'lifting the fundamental data baseline'--a principal ADAS task for the next few years. This will include discussion of ADAS and ADAS-EU coordinated and shared activities and some of the methods being exploited.

  9. Atomic Data and Modelling for Fusion: the ADAS Project

    NASA Astrophysics Data System (ADS)

    Summers, H. P.; O'Mullane, M. G.

    2011-05-01

    The paper is an update on the Atomic Data and Analysis Structure, ADAS, since ICAM-DATA06 and a forward look to its evolution in the next five years. ADAS is an international project supporting principally magnetic confinement fusion research. It has participant laboratories throughout the world, including ITER and all its partner countries. In parallel with ADAS, the ADAS-EU Project provides enhanced support for fusion research at Associated Laboratories and Universities in Europe and ITER. OPEN-ADAS, sponsored jointly by the ADAS Project and IAEA, is the mechanism for open access to principal ADAS atomic data classes and facilitating software for their use. EXTENDED-ADAS comprises a variety of special, integrated application software, beyond the purely atomic bounds of ADAS, tuned closely to specific diagnostic analyses and plasma models. The current scientific content and scope of these various ADAS and ADAS related activities are briefly reviewed. These span a number of themes including heavy element spectroscopy and models, charge exchange spectroscopy, beam emission spectroscopy and special features which provide a broad baseline of atomic modelling and support. Emphasis will be placed on `lifting the fundamental data baseline'—a principal ADAS task for the next few years. This will include discussion of ADAS and ADAS-EU coordinated and shared activities and some of the methods being exploited.

  10. The evaluation of Mothers’ participation project in children's growth and development process: Using the CIPP evaluation model

    PubMed Central

    Shams, Behzad; Golshiri, Parasto; Najimi, Arash

    2013-01-01

    Background: Assessment of national children's growth indicated a high prevalence of growth failure among them. Many previous projects have studied the children's growth and nutrition status; but most of them leave it without evaluation. The aim of this study was to evaluate Mothers’ Participation Project that carried out in Isfahan after passing two years. Materials and Methods: In this descriptive and summative evaluation study, 90 mother and child pairs were enrolled. They were studied in two case and control groups. We used CIPP Evaluation Model (Context, Input, Process, Product). Data collected using children growth chart and questionnaire was used in the project. Obtained data were analyzed by nonparametric statistical tests. Results: The results showed significant differences between the two groups in following items; mean of maternal self-esteem (P < 0.001), maternal performance in training others (P = 0.006), weekly study time (P = 0.004), frequency of mothers participation in education programs (P = 0.002), their knowledge about the growth monitoring card (P = 0.03), their ability in drawing growth curves (P < 0.001), mothers knowledge about types of growth curves (P = 0.001) and the objectives of growth monitoring (P < 0.001). Conclusion: Considering the sustained improvement of maternal knowledge and function regarding children's growth and development after two years of participation in the project, the performance of CIPP model was confirmed in this field. PMID:24083271

  11. Lithospheric scale model of Merida Andes, Venezuela (GIAME Project)

    NASA Astrophysics Data System (ADS)

    Schmitz, M.; Orihuela, N. D.; Klarica, S.; Gil, E.; Levander, A.; Audemard, F. A.; Mazuera, F.; Avila, J.

    2013-05-01

    Merida Andes (MA) is one of the most important orogenic belt in Venezuela and represents the northern culmination of South America Andes. During the last 60 years, several models have been proposed to explain the shallow and deep structure, using different geological, geophysical, seismological, geochemical and petrologic concepts; nevertheless, most of them have applied local observation windows, and do not represent the major structure of MA. Therefore, a multidisciplinary research group, coordinated by FUNVISIS, in close cooperation with UCV, ULA and PDVSA, is proposed in order to get the outlined goals in the project entitled GIAME ("Geociencia Integral de los Andes de MErida") was established, which aims to generate a lithospheric scale model and the development of a temporal dynamic model for the MA. As a base for lithospheric investigations of the Merida Andes, we are proposing three wide angle seismic profiles across the orogen on three representative sites, in order to determine the inner structure and its relation with the orogen's gravimetric root. To the date, there are no seismic studies at lithospheric scale which cross MA. The wide angle seismic will be complemented with the re-processing and re-interpretation of existing reflection seismic data, which will allow to establish a relationship between MA and its associated flexural basins (Maracaibo and Barinas-Apure basins). Depending on the results of the VENCORP Project (VENezuelan COntinental Reflection Profiling), which might show some reliable results about crustal features and Moho reflectors along three long seismic profiles at Caribbean Moutain system, a reflection seismic profile across the central portion of MA is proposed. Additional tasks, consisting in MA quaternary deformation studies, using research methods like neotectonics and paleoseismology, georadar, numerical modeling, cinematic GPS, SAR interferometry, thermocronology, detailed studies on regional geology, flexural modeling

  12. Knowledge, transparency, refutability, and consequences: Using models to evaluate geologic repositories

    NASA Astrophysics Data System (ADS)

    Hill, M. C.; Kavetski, D.; Clark, M. P.; Ye, M.; Tiedeman, C. R.; Arabi, M.; Lu, D.

    2012-04-01

    Current knowledge of a geologic repository includes knowledge about data and their errors; knowledge about possible physical, chemical, and biological processes, and their interactions; knowledge about possible hydrologic and geologic frameworks; knowledge about past and future changes in system dynamics and characteristics; and knowledge about potential future development and use of the repository. Model development and analysis methods ideally integrate all of this knowledge, produce the transparency and refutability acknowledged as necessary to useful models of any environmental system; and provide clear understanding of consequences for the geologic repository, including quantification of uncertainty. Yet many model development and analysis methods fail to achieve this goal. For example, many methods fail to properly account for data error and spend many model runs exploring unrealistic error assumptions that are rarely clearly presented to modelers and model users. Many methods expend huge computer resources to address nearly pathologic model nonlinearities which are often programming and numerical artifacts that fail to represent the intended system behavior. Finally, many methods are unfamiliar to people using model results so that transparency and refutability is not achieved by those most in need of understanding likely consequences. This work suggests that ideas for including data error (including epistemic error) in model development and analysis, referred to as error-based weighting, and ideas about addressing nonlinearity, referred to as robust models, can be used to greatly improve model transparency and refutability, and achieve greater and more defensible long-term understanding of system dynamics and consequences for geologic repositories. This talk will discuss error-based weighting and robust models, and outline a model development and analysis approach that uses 10s to 100s of model runs instead of the 1,000s to 100,000s of runs required by many

  13. Knowledge-based approach for generating target system specifications from a domain model

    NASA Technical Reports Server (NTRS)

    Gomaa, Hassan; Kerschberg, Larry; Sugumaran, Vijayan

    1992-01-01

    Several institutions in industry and academia are pursuing research efforts in domain modeling to address unresolved issues in software reuse. To demonstrate the concepts of domain modeling and software reuse, a prototype software engineering environment is being developed at George Mason University to support the creation of domain models and the generation of target system specifications. This prototype environment, which is application domain independent, consists of an integrated set of commercial off-the-shelf software tools and custom-developed software tools. This paper describes the knowledge-based tool that was developed as part of the environment to generate target system specifications from a domain model.

  14. Solid Waste Projection Model: Database (Version 1. 3)

    SciTech Connect

    Blackburn, C.L.

    1991-11-01

    The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software and data structures utilized in developing the SWPM Version 1.3 Database. This document is intended for use by experienced database specialists and supports database maintenance, utility development, and database enhancement.

  15. Intelligent Physiologic Modeling: An Application of Knowledge Based Systems Technology to Medical Education

    PubMed Central

    Kunstaetter, Robert

    1986-01-01

    This presentation describes the design and implementation of a knowledge based physiologic modeling system (KBPMS) and a preliminary evaluation of its use as a learning resource within the context of an experimental medical curriculum -- the Harvard New Pathway. KBPMS possesses combined numeric and qualitative simulation capabilities and can provide explanations of its knowledge and behaviour. It has been implemented on a microcomputer with a user interface incorporating interactive graphics. The preliminary evaluation of KBPMS is based on anecdotal data which suggests that the system might have pedagogic potential. Much work remains to be done in enhancing and further evaluating KBPMS.

  16. SIGMA: A Knowledge-Based Simulation Tool Applied to Ecosystem Modeling

    NASA Technical Reports Server (NTRS)

    Dungan, Jennifer L.; Keller, Richard; Lawless, James G. (Technical Monitor)

    1994-01-01

    The need for better technology to facilitate building, sharing and reusing models is generally recognized within the ecosystem modeling community. The Scientists' Intelligent Graphical Modelling Assistant (SIGMA) creates an environment for model building, sharing and reuse which provides an alternative to more conventional approaches which too often yield poorly documented, awkwardly structured model code. The SIGMA interface presents the user a list of model quantities which can be selected for computation. Equations to calculate the model quantities may be chosen from an existing library of ecosystem modeling equations, or built using a specialized equation editor. Inputs for dim equations may be supplied by data or by calculation from other equations. Each variable and equation is expressed using ecological terminology and scientific units, and is documented with explanatory descriptions and optional literature citations. Automatic scientific unit conversion is supported and only physically-consistent equations are accepted by the system. The system uses knowledge-based semantic conditions to decide which equations in its library make sense to apply in a given situation, and supplies these to the user for selection. "Me equations and variables are graphically represented as a flow diagram which provides a complete summary of the model. Forest-BGC, a stand-level model that simulates photosynthesis and evapo-transpiration for conifer canopies, was originally implemented in Fortran and subsequenty re-implemented using SIGMA. The SIGMA version reproduces daily results and also provides a knowledge base which greatly facilitates inspection, modification and extension of Forest-BGC.

  17. Model learning and knowledge sharing for a multiagent system with Dyna-Q learning.

    PubMed

    Hwang, Kao-Shing; Jiang, Wei-Cheng; Chen, Yu-Jen

    2015-05-01

    In a multiagent system, if agents' experiences could be accessible and assessed between peers for environmental modeling, they can alleviate the burden of exploration for unvisited states or unseen situations so as to accelerate the learning process. Since how to build up an effective and accurate model within a limited time is an important issue, especially for complex environments, this paper introduces a model-based reinforcement learning method based on a tree structure to achieve efficient modeling and less memory consumption. The proposed algorithm tailored a Dyna-Q architecture to multiagent systems by means of a tree structure for modeling. The tree-model built from real experiences is used to generate virtual experiences such that the elapsed time in learning could be reduced. As well, this model is suitable for knowledge sharing. This paper is inspired by the concept of knowledge sharing methods in multiagent systems where an agent could construct a global model from scattered local models held by individual agents. Consequently, it can increase modeling accuracy so as to provide valid simulated experiences for indirect learning at the early stage of learning. To simplify the sharing process, the proposed method applies resampling techniques to grafting partial branches of trees containing required and useful experiences disseminated from experienced peers, instead of merging the whole trees. The simulation results demonstrate that the proposed sharing method can achieve the objectives of sample efficiency and learning acceleration in multiagent cooperation applications.

  18. The Radio Language Arts Project: adapting the radio mathematics model.

    PubMed

    Christensen, P R

    1985-01-01

    Kenya's Radio Language Arts Project, directed by the Academy for Educational Development in cooperation with the Kenya Institute of Education in 1980-85, sought to teach English to rural school children in grades 1-3 through use of an intensive, radio-based instructional system. Daily 1/2 hour lessons are broadcast throughout the school year and supported by teachers and print materials. The project further was aimed at testing the feasibility of adaptation of the successful Nicaraguan Radio Math Project to a new subject area. Difficulties were encountered in articulating a language curriculum with the precision required for a media-based instructional system. Also a challenge was defining the acceptable regional standard for pronunciation and grammar; British English was finally selected. An important modification of the Radio Math model concerned the role of the teacher. While Radio Math sought to reduce the teacher's responsibilities during the broadcast, Radio Language Arts teachers played an important instructional role during the English lesson broadcasts by providing translation and checks on work. Evaluations of the Radio language Arts Project suggest significant gains in speaking, listening, and reading skills as well as high levels of satisfaction on the part of parents and teachers.

  19. NASA/DOD Aerospace Knowledge Diffusion Research Project. Paper 67: Maximizing the Results of Federally-Funded Research and Development Through Knowledge Management: A Strategic Imperative for Improving US Competitiveness

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Barclay, Rebecca O.

    1998-01-01

    Federally-funded research and development (R&D) represents a significant annual investment (approximately $79 billion in fiscal year 1996) on the part of U.S. taxpayers. Based on the results of a 10-year study of knowledge diffusion in U.S. aerospace industry, the authors take the position that U.S. competitiveness will be enhanced if knowledge management strategies, employed within a capability-enhancing U.S. technology policy framework, are applied to diffusing the results of federally-funded R&D. In making their case, the authors stress the importance of knowledge as the source of competitive advantage in today's global economy. Next, they offer a practice-based definition of knowledge management and discuss three current approaches to knowledge management implementation-mechanistic, "the learning organization," and systemic. The authors then examine three weaknesses in existing U.S. public policy and policy implementation-the dominance of knowledge creation, the need for diffusion-oriented technology policy, and the prevalence of a dissemination model- that affect diffusion of the results of federally-funded R&D. To address these shortcomings, they propose the development of a knowledge management framework for diffusing the results of federally-funded R&D. The article closes with a discussion of some issues and challenges associated with implementing a knowledge management framework for diffusing the results of federally-funded R&D.

  20. Strategies to promote success on the NCLEX-RN: an evidence-based approach using the ACE Star Model of Knowledge Transformation.

    PubMed

    Bonis, Susan; Taft, Lois; Wendler, M Cecilia

    2007-01-01

    This article describes an evidence-based project undertaken to develop and implement educational strategies to improve NCLEX-RN scores in a baccalaureate nursing program. The ACE Star Model of Knowledge Transformation, a tool used to assist in understanding the process of knowledge discovery and transformation in evidence-based practice, guided this project. A review of the literature revealed a downward trend in successful completion of the NCLEX-RN along with anecdotal reports of educational strategies intended to improve success on the exam. The literature review failed to uncover evaluations of the effectiveness of reported strategies. Resultant recommendations included an integrated strategy consisting of assessment testing, independent study, and simulated NCLEX examinations. Evaluation of the strategies revealed improved success on the NCLEX-RN. Pass rates from rose from 87.76 percent in fall 2001 to 94.81 percent in fall 2004.