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1

Knowledge Model: Project Knowledge Management Project title: Knowledge in a Wiki  

E-print Network

acronym: KIWI Project number: ICT-2007.4.2-211932 Project instrument: EU FP7 Small and Medium Framework Programme © KIWI 2008 #12;2 Table of Contents Table of Contents.............................................................................................. .6 3. KIWI application for Knowledge Management Problems in Logica

Dolog, Peter

2

Representation of Activity Knowledge for Project Management  

Microsoft Academic Search

Representation of activity knowledge is important to any application which must reason aboutactivities, such as new product management, factory scheduling, robot control, vehicle control,software engineering and air traffic control. This article provides an integration of the underlyingtheories needed for modeling activities. Using the domain of large computer design projects asexample, the semantics of activity modeling is described. While past research

Arvirid Sathi; Mark S. Fox; Michael Greenberg

1985-01-01

3

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

ERIC Educational Resources Information Center

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…

Smith, Dedrick A.

2010-01-01

4

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

PubMed

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-base chemistry of blood has been applied in the ARTY system. ARTY has been shown to accurately and precisely calculate arterial values of acid-base and oxygen status in patients residing in the ICU, and in those with chronic lung disease. The INtelligent VENTilator (INVENT) system has been developed for optimization of mechanical ventilator settings using physiological models and utility/penalty functions, separating physiological knowledge from clinical preference. The models can be tuned to the individual patient via parameter estimation, providing patient specific advice. The INVENT team has shown prospectively that the system provides advice on F(I)O(2) which is as good as clinical practice, and retrospectively that the system provides reasonable suggestions of tidal volume, respiratory frequency and F(I)O(2). In general, this dissertation has illustrated a further example of the role of modeling in describing and understanding complex systems. The dissertation has shown that when dealing with complexity the goal of the model must be in focus if a correct balance is to be maintained between system complexity and model parameterization. The original goal of the INVENT team, i.e. to build, evaluate and integrate a DSS for control of mechanical ventilation has not as yet been completed. However, the broader hypothesis that building models generates new and interesting questions has been successfully demonstrated. The ALPE model and system has been applied in intensive care, post operative care and cardiology and is currently being evaluated in new clinical domains. ARTY has been shown to have potential benefit in eliminating the need for painful arterial punctures, and may also be useful as a screening tool. These systems illustrate the benefits of investing in models as a mechanism for translating physiological knowledge to clinical practice. PMID:22152752

Rees, Stephen E

2011-12-01

5

3D MODEL FOR HISTORIC RECONSTRUCTION AND ARCHAEOLOGICAL KNOWLEDGE DISSEMINATION: THE NIEDERMUNSTER ABBEY'S PROJECT (ALSACE, FRANCE)  

Microsoft Academic Search

This paper describes the efficient combination of topographical surveying techniques, photogrammetric drawings and laser scanning point cloud acquisition for constitution of a three-dimensional model of an historical site, the Abbey of Niedermunster, in its current state. This site is remarkable all over its architecture and its history, but today only ruins remain. Without works of passionate archaeologist there would not

M. Koehl; P. Grussenmeyer

6

MSFC Propulsion Systems Department Knowledge Management Project  

NASA Technical Reports Server (NTRS)

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.

Caraccioli, Paul A.

2007-01-01

7

Knowledge modeling for software design  

NASA Technical Reports Server (NTRS)

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.

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

1992-01-01

8

Enhancing Knowledge Integration: An Information System Capstone Project  

ERIC Educational Resources Information Center

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…

Steiger, David M.

2009-01-01

9

Temporal Knowledge Acquisition and Modeling  

Microsoft Academic Search

\\u000a The objectives of this paper are to present, describe, and explain the foundations and the functionalities of a temporal knowledge\\u000a acquisition and modeling solution workflow, which aims at acquiring temporal knowledge from texts in order to populate a constrained\\u000a object model. We are using several models for temporal data, one of which is generic and employed as a pivot model

Cyril Faucher; Charles Teissèdre; Jean-Yves Lafaye; Frédéric Bertrand

2010-01-01

10

High School Students' Modeling Knowledge High School Students' Modeling Knowledge  

E-print Network

of the authors. #12;High School Students' Modeling Knowledge Abstract Modeling is a core scientific practice, & Braaten, 2008). Indeed, models are seen as the prime mediator between theory and reality (Develaki, 2007). Following Schwarz et al. (2009) we define scientific modeling as including the elements of the practice

11

Knowledge Infrastructure for Project Management1 Pankaj Jalote  

E-print Network

Knowledge Infrastructure for Project Management1 Pankaj Jalote Department of Computer Science of areas. We will also briefly discuss how this knowledge infrastructure is used for managing a project in project management, i.e. use of which can make project management more effective. Suppose in a software

Jalote, Pankaj

12

The DARPA High-Performance Knowledge Bases Project  

Microsoft Academic Search

Abstract We address the experiences of the DARPA High Performance Knowledge,Bases (HPKB) (Cohen et al., 1998) project in practical knowledge,representation. The purpose of the HPKB project was to develop new techniques for rapid development,of knowledge bases. The goal of this paper is to describe several technical issues that arose in creation of

Paul R. Cohen; Robert Schrag; Eric K. Jones; Adam Pease; Albert Lin; Barbara Starr; David Gunning; Murray Burke

1998-01-01

13

Using value analysis to support knowledge transfer in the multi-project setting  

Microsoft Academic Search

This paper investigates how formalized methodologies can effectively support the implementation of knowledge transfer practices in the multi-project setting. We propose a knowledge collection and transfer model grounded on the Value Analysis technique, empirically developed and validated through an action research in the shipbuilding industry. The proposed model facilitates decision making across multiple projects in the cruise ship design by

Marco Formentini; Pietro Romano

2011-01-01

14

Role of explicit and tacit knowledge in Six Sigma projects: An empirical examination of differential project success  

Microsoft Academic Search

This research develops a conceptual model for predicting success of process improvement projects as a result of knowledge-creation practices employed in the projects. The model is empirically examined in the context of Six Sigma black belt projects. New scales are developed to measure explicit- and tacit- knowledge-creation practices in process improvement. Data is gathered via a cross-sectional sample, and the

Gopesh Anand; Peter T. Ward; Mohan V. Tatikonda

2009-01-01

15

Role of explicit and tacit knowledge in Six Sigma projects: An empirical examination of differential project success  

Microsoft Academic Search

This research develops a conceptual model for predicting success of process improvement projects as a result of knowledge-creation practices employed in the projects. The model is empirically examined in the context of Six Sigma black belt projects. New scales are developed to measure explicit- and tacit-knowledge-creation practices in process improvement. Data is gathered via a cross-sectional sample, and the hypotheses

Gopesh Anand; Peter T. Ward; Mohan V. Tatikonda

2010-01-01

16

Forms of Knowledge: Problems, Projects, Perspectives  

Microsoft Academic Search

This chapter systematically describes different forms of knowledge and their roles at the interface of human cognition, communication,\\u000a and cooperation (CCC triangulation). A distinction between a narrow and a broad sense of knowledge is made. The notion of\\u000a forms of knowledge is explained as different ways of knowing. It is impossible to individuate contents of knowledge independently\\u000a of signs and

Günter Abel

17

Knowledge tracing: Modeling the acquisition of procedural knowledge  

Microsoft Academic Search

This paper describes an effort to model students' changing knowledge state during skill acquisition. Students in this research are learning to write short programs with the ACT Programming Tutor (APT). APT is constructed around a production rule cognitive model of programming knowledge, called theideal student model. This model allows the tutor to solve exercises along with the student and provide

Albert T. Corbett; John R. Anderson

1994-01-01

18

Designing and Developing a NASA Research Projects Knowledge Base and Implementing Knowledge Management and Discovery Techniques  

NASA Astrophysics Data System (ADS)

The Research Project Knowledge Base (RPKB) is currently being designed and will be implemented in a manner that is fully compatible and interoperable with enterprise architecture tools developed to support NASA's Applied Sciences Program. Through user needs assessment, collaboration with Stennis Space Center, Goddard Space Flight Center, and NASA's DEVELOP Staff personnel insight to information needs for the RPKB were gathered from across NASA scientific communities of practice. To enable efficient, consistent, standard, structured, and managed data entry and research results compilation a prototype RPKB has been designed and fully integrated with the existing NASA Earth Science Systems Components database. The RPKB will compile research project and keyword information of relevance to the six major science focus areas, 12 national applications, and the Global Change Master Directory (GCMD). The RPKB will include information about projects awarded from NASA research solicitations, project investigator information, research publications, NASA data products employed, and model or decision support tools used or developed as well as new data product information. The RPKB will be developed in a multi-tier architecture that will include a SQL Server relational database backend, middleware, and front end client interfaces for data entry. The purpose of this project is to intelligently harvest the results of research sponsored by the NASA Applied Sciences Program and related research program results. We present various approaches for a wide spectrum of knowledge discovery of research results, publications, projects, etc. from the NASA Systems Components database and global information systems and show how this is implemented in SQL Server database. The application of knowledge discovery is useful for intelligent query answering and multiple-layered database construction. Using advanced EA tools such as the Earth Science Architecture Tool (ESAT), RPKB will enable NASA and partner agencies to efficiently identify the significant results for new experiment directions and principle investigators to formulate experiment directions for new proposals.

Dabiru, L.; O'Hara, C. G.; Shaw, D.; Katragadda, S.; Anderson, D.; Kim, S.; Shrestha, B.; Aanstoos, J.; Frisbie, T.; Policelli, F.; Keblawi, N.

2006-12-01

19

Knowledge interdependence with the partner, accuracy of mutual knowledge model and computer-supported collaborative learning  

Microsoft Academic Search

The present study is part of a project aiming at empirically investigating the process of modeling the partner’s knowledge\\u000a (Mutual Knowledge Modeling or MKM) in Computer-Supported Collaborative Learning (CSCL) settings. In this study, a macro-collaborative\\u000a script was used to produce knowledge interdependence (KI) among colearners by providing them with different but complementary\\u000a information. Prior to collaboration, two students read the

Gaëlle Molinari; Mirweis Sangin; Pierre Dillenbourg; Marc-Antoine Nüssli

2009-01-01

20

Unified Data Model Based on Knowledge Management  

Microsoft Academic Search

(Abstract)This paper analyzes the features and demerits of traditional data modeling, imports a unified data model for knowledge to support uniform knowledge management and information integrating in the e-government domain. Based on the unified data model, it designs and implements a unified development environment for building knowledge management platform. The practice proves that building knowledge management platform based on the

HU Xiao-fei; CHENG Li-zhou

2008-01-01

21

Use of a Knowledge Management System in Waste Management Projects  

SciTech Connect

In Germany the knowledge management system 'WasteInfo' about waste management and disposal issues has been developed and implemented. Beneficiaries of 'WasteInfo' are official decision makers having access to a large information pool. The information pool is fed by experts, so called authors This means compiling of information, evaluation and assigning of appropriate properties (metadata) to this information. The knowledge management system 'WasteInfo' has been introduced at the WM04, the operation of 'WasteInfo' at the WM05. The recent contribution describes the additional advantage of the KMS being used as a tool for the dealing with waste management projects. This specific aspect will be demonstrated using a project concerning a comparative analysis of the implementation of repositories in six countries using nuclear power as examples: The information of 'WasteInfo' is assigned to categories and structured according to its origin and type of publication. To use 'WasteInfo' as a tool for the processing the projects, a suitable set of categories has to be developed for each project. Apart from technical and scientific aspects, the selected project deals with repository strategies and policies in various countries, with the roles of applicants and authorities in licensing procedures, with safety philosophy and with socio-economic concerns. This new point of view has to be modelled in the categories. Similar to this, new sources of information such as local and regional dailies or particular web-sites have to be taken into consideration. In this way 'WasteInfo' represents an open document which reflects the current status of the respective repository policy in several countries. Information with particular meaning for the German repository planning is marked and by this may influence the German strategy. (authors)

Gruendler, D.; Boetsch, W.U. [Institute for Safety Technology (ISTec) GmbH, Schwertnergasse 1, D-50667 Cologne (Germany); Holzhauer, U. [Gesellschaft fuer Anlagen- und Reaktorsicherheit (GRS) mbH, Schwertnergasse 1, D-50667 Cologne (Germany); Nies, R.A. [Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Robert-Schuman-Platz 3, D - 53175 Bonn (Germany)

2006-07-01

22

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

NASA Technical Reports Server (NTRS)

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.

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

1991-01-01

23

Reflection on Knowledge Sharing in F\\/OSS Projects  

Microsoft Academic Search

Knowledge sharing between software project participants simplifies a range of decision-making processes and helps improve\\u000a the way software is being developed, distributed, and supported. However, research in this area has traditionally been very\\u000a difficult because the source of knowledge, the code, has been a guarded secret and software developers and users inhabit different\\u000a worlds. F\\/OSS projects have changed the way

Sulayman K. Sowe; Ioannis Stamelos

2008-01-01

24

Design Knowledge Collection by Modeling  

Microsoft Academic Search

Since design is a process in which designers use various kinds of knowledge and it is an open-ended problem, it is difficult to prepare all necessary knowledge before design. Also, due to advances of technology, design knowledge is largely fragmental and compartmentized. This makes the communication among design experts or design agents difficult. Due to these, a knowledge sharing mechanism

Masaharu Yoshioka; T. Sekiya; Tetsuo Tomiyama

1998-01-01

25

Using knowledge from social science in development projects  

Microsoft Academic Search

Financially induced development runs the risk of creating social imbalances. This can be alleviated if sociologists are involved at the planning stage of projects rather than being called upon in the ex ante evaluation study. It is essential for successful implementation of development projects to (put people first'. New ‘entrance points’ must be opened up for sociological and anthropological knowledge

Michael M. Cernea

1994-01-01

26

Underwater archaeological knowledge analysis and representation in the venus project : a preliminary draft, Paper presented at  

E-print Network

underwater archaeological knowledge analysis performed after the first mission of the project on the wreck site of Pianosa in october 2006. It proposes a preliminary representation of underwater archaeological observations and related knowledge by means of an ontology, based on the CIDOC-CRM model. 1

Robert Jeansoulin; Odile Papini

2007-01-01

27

Modeling Guru: Knowledge Base for NASA Modelers  

NASA Astrophysics Data System (ADS)

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 same document, even allowing the author to select those who may edit and approve the document. To maintain knowledge integrity, all documents are moderated before they are visible to the public. Modeling Guru, running on Clearspace by Jive Software, has been an active resource to the NASA modeling and HEC communities for more than a year and currently has more than 100 active users. SIVO will soon install live instant messaging support, as well as a user-customizable homepage with social-networking features. In addition, SIVO plans to implement a large dataset/file storage capability so that users can quickly and easily exchange datasets and files with one another. Continued active community participation combined with periodic software updates and improved features will ensure that Modeling Guru remains a vibrant, effective, easy-to-use tool for the NASA scientific community.

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

2009-05-01

28

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

ERIC Educational Resources Information Center

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…

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

2002-01-01

29

E-Learning and Knowledge Management: The MEMORAe Project.  

ERIC Educational Resources Information Center

E-learning leads to changes in the way courses are conceived. Diffused through the Web, course content cannot be the pure transcription of a "classical" course. The students need to personalize it and to access it when they need it (just-in-time). The MEMORAe project aims at applying knowledge management techniques to improve the structure of the…

Abel, Marie-Helene; Lenne, Dominique; Cisse, Omar

30

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)

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.

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

2014-06-01

31

Research on Knowledge Representation and Acquisition Based on Dynamic Regional Grid Net Antagonistic Project  

Microsoft Academic Search

According to the technical and tactical characteristics of the project, the concept of dynamic regional grid was put forward and applied to the items of Net knowledge representation and knowledge acquisition. The grid-based dynamic region against the project of Net Knowledge Representation and Knowledge Acquisition was proposed. The project series (table tennis, badminton, tennis, volleyball, ball, boxing, taekwondo, football) multimedia

Meng Xian-ming; Ling Pei-liang; Gong Xin-he

2010-01-01

32

Protocol for a qualitative study of knowledge translation in a participatory research project  

PubMed Central

Introduction In this article, we present a methodological design for qualitative investigation of knowledge translation (KT) between participants in a participatory research project. In spite of a vast expansion of conceptual models and frameworks for conducting KT between research and practice, few models emphasise how KTs come about. Better understanding of the actions and activities involved in a KT process is important for promoting diffusion of knowledge and improving patient care. The purpose of this article is to describe a methodological design for investigating how KTs come about in participatory research. Methods and analysis The article presents an ethnographic study which investigates meetings between participants in a participatory research project. The participants are researchers and primary healthcare clinicians. Data are collected through observation, interviews and document studies. The material is analysed using the analytical concepts of knowledge objects, knowledge forms and knowledge positions. These concepts represent an analytical framework enabling us to observe knowledge and how it is translated between participants. The main expected outcome of our study is to develop a typology of KT practices relevant to participatory research. Ethics and dissemination The project has been evaluated and approved by the Norwegian Social Science Data Services. Informed consent was obtained for all participants. The findings from this study will be disseminated through peer-reviewed publications and national and international conference presentations. PMID:23959758

Lillehagen, Ida; Vøllestad, Nina; Heggen, Kristin; Engebretsen, Eivind

2013-01-01

33

The SAGE Project: A Universal Framework for Sharing Health Knowledge in the Form of Computable Clinical Practice Guidelines  

Microsoft Academic Search

The SAGE Project is a multi-institution effort to enable encoding and dissemination of interoperable, computable clinical practice guidelines. We have developed a standards-based guideline-knowledge representation model that specifies computable guideline content. We incorporate a \\

Robert M. Abarbanel; Nick Beard; James R. Campbell; Julie I. Glasgow; Stanley M. Huff; James G. Mansfield; Eric Mays; James McClay; David N. Mohr; Mark A. Musen; Craig G. Parker; Prabhu Ram; Roberto A. Rocha; Sidna M. Scheitel; Samson W. Tu; Tony Weida; Qin Ye

34

Modelling and managing knowledge through dialogue: a model of communication-based knowledge management  

Microsoft Academic Search

In this paper, we describle a model that relies on the following assumption; ontology negotiation and creation is necessary to make knowledge sharing and KM successful through communication. We mostly focus on the modifying process, i.e. dialogue, and we show a dynamic modification of agents knowledge bases could occur through messages exchanges, messages being knowledge chunks to be mapped with

Violaine Prince

2006-01-01

35

Tiered Internship Model Project  

NSDL National Science Digital Library

This webpage from the GeoTech Center features a document from Irina Kopteva of Pikes Peak Community College discussing the Tiered Internship Model for students in geospatial technology. The goal of the project was "to create a tiered internship program with industry that will start with two-year college and high school partners." The document also discusses recruitment for GIS programs and includes several photographs. The document may be downloaded in PDF file format.

Kopteva, Irina

36

The TOKEn project: knowledge synthesis for in silico science  

PubMed Central

Objective The conduct of investigational studies that involve large-scale data sets presents significant challenges related to the discovery and testing of novel hypotheses capable of supporting in silico discovery science. The use of what are known as Conceptual Knowledge Discovery in Databases (CKDD) methods provides a potential means of scaling hypothesis discovery and testing approaches for large data sets. Such methods enable the high-throughput generation and evaluation of knowledge-anchored relationships between complexes of variables found in targeted data sets. Methods The authors have conducted a multipart model formulation and validation process, focusing on the development of a methodological and technical approach to using CKDD to support hypothesis discovery for in silico science. The model the authors have developed is known as the Translational Ontology-anchored Knowledge Discovery Engine (TOKEn). This model utilizes a specific CKDD approach known as Constructive Induction to identify and prioritize potential hypotheses related to the meaningful semantic relationships between variables found in large-scale and heterogeneous biomedical data sets. Results The authors have verified and validated TOKEn in the context of a translational research data repository maintained by the NCI-funded Chronic Lymphocytic Leukemia Research Consortium. Such studies have shown that TOKEn is: (1) computationally tractable; and (2) able to generate valid and potentially useful hypotheses concerning relationships between phenotypic and biomolecular variables in that data collection. Conclusions The TOKEn model represents a potentially useful and systematic approach to knowledge synthesis for in silico discovery science in the context of large-scale and multidimensional research data sets. PMID:21984589

Borlawsky, Tara B; Lele, Omkar; James, Stephen; Greaves, Andrew W

2011-01-01

37

Fusion Simulation Project (Whole Tokamak Plasma Modeling)  

E-print Network

for a burning plasma simulation capability ­ Emergence of petascale computing capability ­ KnowledgeFusion Simulation Project (Whole Tokamak Plasma Modeling) FSP Committee and Panels Presented;PSACI June 7-8, 2007 PPPL FSP Objective and Motivation · Primary objective of Fusion Simulation

38

Critical Team-Level Success Factors of Offshore Outsourced Projects: A Knowledge Integration Perspective  

Microsoft Academic Search

Knowledge Integration is considered an important antecedent for the successful development of an ISD project. ISD projects include development of applications within or outside the boundaries of an organization, such as an outsourced project. The focus of this paper is on team-level factors that influence knowledge integration in offshore outsourced projects. Previous research studies in the field of outsourcing have

S. Balaji; Manju K. Ahuja

2005-01-01

39

Evolutionary model with genetics, aging, and knowledge  

NASA Astrophysics Data System (ADS)

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.

Bustillos, Armando Ticona; de Oliveira, Paulo Murilo

2004-02-01

40

A knowledge model for software fault tolerance  

SciTech Connect

In this dissertation, a knowledge-based model is presented to deal with the software fault tolerance for a finite state machine (FSM) based system. The inference rules stored in the knowledge base are derived from the process requirements and specifications which are described by the Specification and Description Language (SDL), a CCITT recommendation standard. To supplement insufficient facts of the inference rules, a set of inference axioms is added into the knowledge base. The inference axiom is derived from heuristic and empirical knowledge of and expert. They are simple in nature and can be incrementally added by the experts to the knowledge base. In addition to the inference rules, the author also presents an effective fault recovery algorithm to recover the process from all possible software faults. Some theoretical support of the fault recovery scheme is presented too. Finally, to better understand the performance of the mode, the author implements an experimental system and perform a simulation on it. The performance of the model is measured by serviceability and recoverability. The serviceability shown from the result of the simulation is 60% improvement in average and the recoverability (67.2%) obtained from the simulation is comparable to that previously reported on another fault tolerant system. All of these have been shown to be quite satisfactory.

Hsueh, J.C.C.

1989-01-01

41

Model-driven and Domain-specific Architectural Knowledge View for Compliance Meta-data in  

E-print Network

Model-driven and Domain-specific Architectural Knowledge View for Compliance Meta-data in Process-driven on the feasibility of a domain-specific architectural knowledge view in the context of a model-driven project to design and implement this domain-specific AK view, whereas the generic approaches are ready to use out

Dustdar, Schahram

42

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

ERIC Educational Resources Information Center

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…

King, Kenneth

2002-01-01

43

Leveraging First Response Time into the Knowledge Tracing Model  

ERIC Educational Resources Information Center

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…

Wang, Yutao; Heffernan, Neil T.

2012-01-01

44

From data to knowledge--the Visible Human Project continues.  

PubMed

The U. S. National Library of Medicine (NLM) has long been a world leader in the archiving and distribution of the print-based images of biology and medicine. NLM has also been a pioneer in the use of computer systems to encode and distribute textual knowledge of the life sciences. NLM's Long Range Planning effort of 1985-86 foresaw a coming era where NLM's Bibliographic and factual database services would be complemented by libraries of digital images, distributed over high speed computer networks. The NLM Planning Panel on Electronic Imaging recommended that NLM should undertake the building a digital image library consisting of computerized tomography (CT) and magnetic resonance (MR) images, and cryosection images of a representative, carefully selected and prepared male and female cadaver--the "Visible Human Project ." The male and female Visible Human data sets are now being made available through a license agreement with the NLM. The data sets are supporting a wide range of educational, diagnostic, treatment planning, and commercial uses. The NLM, in partnership with other U.S. government research agencies has begun a three prong effort within the Visible Human Project to address: the creation of a new online, interactive, digital head-and-neck atlas; the development of a tool kit of computational programs capable of automatically performing many of the basic data handling functions required for using Visible Human data in applications; and the improved resolution of future Visible Human data sets through the reduction of the anatomical artifacts introduced by the methods used to stabilize and section the anatomical materials and the development of staining and wide-spectrum methods for increasing tissue contrast. PMID:11604860

Ackerman, M J; Yoo, T; Jenkins, D

2001-01-01

45

Knowledgeable development environments using shared design models  

Microsoft Academic Search

We describe MASTERMIND, a step toward our vision of a knowledge-based design-time and run-time environment where human-computer interfaces development is centered around an all-encompassing design model. The MASTERMIND approach is intended to provide integration and continuity across the entire life cycle of the user interface. In addition it facilitates higher quality work within each phase of the life cycle. MASTERMIND

Robert Neches; James D. Foley; Pedro A. Szekely; Piyawadee Noi Sukaviriya; Ping Luo; Srdjan Kovacevic; Scott E. Hudson

1993-01-01

46

Models of Innovative Knowledge Communities and Three Metaphors of Learning  

ERIC Educational Resources Information Center

The authors analyze and compare three models of innovative knowledge communities: Nonaka and Takeuchi's model of knowledge-creation, Engestrom's model of expansive learning, and Bereiter's model of knowledge building. Despite basic differences, these models have pertinent features in common: Most fundamentally, they emphasize dynamic processes for…

Paavola, Sami; Lipponen, Lasse; Hakkarainen, Kai

2004-01-01

47

Project CAPABLE: Model Unit.  

ERIC Educational Resources Information Center

Project CAPABLE (Classroom Action Program: Aim: Basic Learning Effectiveness) is a classroom approach which integrates the basic learning skills with content. The goal of the project is to use basic learning skills to enhance the learning of content and at the same time use the content to teach basic learning skills. This manual illustrates how…

Madawaska School District, ME.

48

Cognitive Modeling: Knowledge, Reasoning and Planning for Intelligent Characters  

E-print Network

models go beyond behavioral models in that they govern what a character knows, how that knowledge models in that they govern what a character knows, how that knowledge is acquired, and how it can be usedCognitive Modeling: Knowledge, Reasoning and Planning for Intelligent Characters John Funge Intel

Toronto, University of

49

"Block" and "run" innovative strategies and their implications for project and knowledge management routines  

E-print Network

"Block" and "run" innovative strategies and their implications for project and knowledge management routines: The case of a pharmaceutical and chemical company Florence Charue-Duboc Chargée de recherche au the choice of innovative strategy determines the type of project management and knowledge management

Paris-Sud XI, Université de

50

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

ERIC Educational Resources Information Center

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…

Walker, Derek H. T.; Christenson, Dale

2005-01-01

51

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

ERIC Educational Resources Information Center

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…

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

2012-01-01

52

Understanding knowledge sharing activities in free\\/open source software projects: An empirical study  

Microsoft Academic Search

Free\\/Open Source Software (F\\/OSS) projects are people-oriented and knowledge intensive software development environments. Many researchers focused on mailing lists to study coding activities of software developers. How expert software developers interact with each other and with non-developers in the use of community products have received little attention. This paper discusses the altruistic sharing of knowledge between knowledge providers and knowledge

Sulayman K. Sowe; Ioannis Stamelos; Lefteris Angelis

2008-01-01

53

Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery  

E-print Network

a formalism for encoding population dynamics modeling knowledge that is more accessible to human expertsUsing Domain Knowledge on Population Dynamics Modeling for Equation Discovery Ljupco Todorovski limited portion of the expert knowledge about the observed system is used in the modeling process

Dzeroski, Saso

54

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

ERIC Educational Resources Information Center

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:…

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

2012-01-01

55

PROJECT MANAGEMENT BASICS This course provides an overview of the ten knowledge-based principles for managing  

E-print Network

PROJECT MANAGEMENT COURSES PROJECT MANAGEMENT ­ BASICS This course provides an overview of the ten knowledge-based principles for managing successful projects: scope, integration, communication, time, cost, procurement, risk management, quality control, human resources, and project stakeholder management

Hutcheon, James M.

56

A Model of Values and Actions for Personal Knowledge Management  

ERIC Educational Resources Information Center

Purpose: The purpose of this paper is to present a "soft methodology" model in knowledge management that addresses the problem of accessing and managing one particular type of knowledge: personal (implicit/tacit) knowledge. Design/methodology/approach: The model is based on the theories and methodologies of grounded theory, adult learning,…

Zuber-Skerritt, Ortrun

2005-01-01

57

Building a maturity model for college library knowledge management system  

Microsoft Academic Search

Many college libraries have implemented knowledge management which has emerged as an issue that library administrators have to deal with. In order to evaluate the difference among college library's knowledge management practices, it is necessary to build a knowledge management maturity model. Based on the concept of continuous process improvement and the Capability Maturity Model (CMM) of the Software Engineering

Zhenzhong Yang; Huanhai Bai

2009-01-01

58

Project Information Form Project Title Modeling for Local Impact Analysis  

E-print Network

Project Information Form Project Title Modeling for Local Impact Analysis University University Research and Educational Foundation- $48,683.00 Total Project Cost $48,683.00 Agency ID or Contract Number Project We will develop a traffic simulation model for the Los Angeles region that will allow us

California at Davis, University of

59

Constructing Explanatory Process Models from Biological Data and Knowledge  

E-print Network

of modeling photosynthesis regulation. We cast both models and background knowledge in terms of processes, Inductive process modeling, Photosynthesis regulation, Biochemical kinetic reactions #12;#12;1 IntroductionConstructing Explanatory Process Models from Biological Data and Knowledge Pat Langley, Oren Shiran

Langley, Pat

60

Knowledge Collaboration and ProximityThe Spatial Organization of Biotech Innovation Projects  

Microsoft Academic Search

This article addresses the role of proximity for knowledge collaboration between dedicated biotechnology firms (DBFs) and related actors. Innovation projects managed by a selection of eight Swedish DBFs are analysed in detail and classified with regard to their specific knowledge characteristics. Based on this classification, explanations to the relative importance of functional and relational proximity to collaborators are sought.The findings

Jerker Moodysson; Ola Jonsson

2007-01-01

61

Modeling and Implementing Knowledge-based Protocols  

Microsoft Academic Search

Many important patterns in the design and analysis of protocols can be interpreted in terms of knowledge. For example, proving that a process cannot perform a partic- ular action at a point in time. Such proofs typically involve reasoning about points in time that a process cannot distinguish between, and these points can be used to characterize the process' knowledge.

Nikhil Dinesh

2007-01-01

62

Assessing Knowledge of Mathematical Equivalence: A Construct-Modeling Approach  

ERIC Educational Resources Information Center

Knowledge of mathematical equivalence, the principle that 2 sides of an equation represent the same value, is a foundational concept in algebra, and this knowledge develops throughout elementary and middle school. Using a construct-modeling approach, we developed an assessment of equivalence knowledge. Second through sixth graders (N = 175)…

Rittle-Johnson, Bethany; Matthews, Percival G.; Taylor, Roger S.; McEldoon, Katherine L.

2011-01-01

63

Knowledge Acquisition for Learner Modelling in Second Language Learning  

E-print Network

Knowledge Acquisition for Learner Modelling in Second Language Learning Thierry Chanier1, Michael) "Knowledge Acquisition for Learner Modelling in Second Language Learning". Cognitive Modelling and Interactive Environment in Language Learning, Engel F.L., Bouwhuis D.G., Bösser T., d'Ydewalle G. (dir

Paris-Sud XI, Université de

64

Chemistry Teachers' Knowledge and Application of Models  

ERIC Educational Resources Information Center

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…

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

2014-01-01

65

Team Project - An Effective Tool for Application of Knowledge and Deriving Engineering Competencies  

Microsoft Academic Search

Wide theoretical background and engineering (professional and personal) competencies are the natural skills of new hire. Student individual and team projects provide a nice environment for best engineering practice. Introduction of the team projects requires the creation of teams of 4 to 5 students, and application of the obtained multidisciplinary knowledge. The enhancement of students' motivation for active participation in

Daniel Donoval; Daniel Hajtas

2003-01-01

66

Knowledge Modeling in Prior Art Search  

NASA Astrophysics Data System (ADS)

This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment available in the form of classifications assigned to patent documents. The paper first outlines in detail how a methodology for the extraction of knowledge from such an hierarchical classification system can be established. Further potential ways of integrating this knowledge with existing Information Retrieval paradigms in a scalable and flexible manner are investigated. Finally based on these integration strategies the effectiveness in terms of recall and precision is evaluated in the context of a prior art search task for European patents. As a result of this evaluation it can be established that in general the proposed knowledge expansion techniques are particularly beneficial to recall and, with respect to optimizing field retrieval settings, further result in significant precision gains.

Graf, Erik; Frommholz, Ingo; Lalmas, Mounia; van Rijsbergen, Keith

67

Cirrus Parcel Model Comparison Project. Phase 1  

NASA Technical Reports Server (NTRS)

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.

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

2000-01-01

68

Development of a Model for Maaging Organizational Knowledge  

SciTech Connect

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.

Ashdown, B.; Smith, K.

1999-05-05

69

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

ERIC Educational Resources Information Center

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…

van Rooij, Shahron Williams

2009-01-01

70

Structural Model of Metacognition and Knowledge of Geometry  

ERIC Educational Resources Information Center

This structural equation modeling study aimed to investigate both direct and indirect relations between metacognition and geometrical knowledge. The model was tested using data from tenth grade secondary school students (N=923). It was used to estimate and test the hypothesized effects of two metacognitive constructs (knowledge of cognition and…

Aydin, Utkun; Ubuz, Behiye

2010-01-01

71

A Model for Resource Allocation Using Operational Knowledge Assets  

ERIC Educational Resources Information Center

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…

Andreou, Andreas N.; Bontis, Nick

2007-01-01

72

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

PubMed Central

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

2014-01-01

73

[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)

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.

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

74

A knowledge-resonance (KRES) model of category learning  

Microsoft Academic Search

This article introduces a connectionist model of category learning that takes into account the prior knowledge that people\\u000a bring to new learning situations. In contrast to connectionist learning models that assume a feedforward network and learn\\u000a by the delta rule or backpropagation, this model, the knowledge-resonance model, or KRES, employs a recurrent network with\\u000a bidirectional symmetric connection whose weights are

Bob Rehder; Gregory L. Murphy

2003-01-01

75

A Knowledge Translation Project on Best Practices in End-of-life Care.  

PubMed

This is a knowledge translation project to promote the uptake of best practices in end-of-life (EOL) care within the primary care setting in British Columbia (BC) through the use of tools embedded into electronic medical records (EMRs). The knowledge-to-action model is used to engage primary care providers in co-designing, adopting and evaluating the EOL care toolkit built for 3 EMRs. The toolkit has a set of EMR-specific data entry templates, query/report functions and access to additional downloadable resources. It is based on the EOL learning module designed and offered by the BC General Practice Services Committee's Practice Support Program to improve EOL care by primary care providers in the province. Our web-based distribution method allows providers to download and install the toolkit then take part to evaluate its use and impact. Initial feedback from phases 1-3 (of 4) has been favorable and has led to iterative improvements. PMID:25676980

Lau, Francis; Barwich, Doris; Hilliard, Neil; Partridge, Colin; Hobson, Bruce; Price, Morgan; McGregor, Douglas; Bassi, Jesdeep; Lee, Dennis; Kim, Julie; Pyke, Joanna; Randhawa, Gurprit

2015-01-01

76

Harvesting project knowledge: a review of project learning methods and success factors  

Microsoft Academic Search

This article presents an overview of proven methods to record experiences from projects and discusses their use in project management. We distinguish between process-based and documentation-based debriefing methods. Process-based methods focus on a procedural approach to capture key learnings from a project. Documentation-based methods serve as appropriate representation formats or structures for project insights. The article bridges the current gap

Martin Schindler; Martin J. Eppler

2003-01-01

77

Spiral model pilot project information model  

NASA Technical Reports Server (NTRS)

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.

1991-01-01

78

Exploring the Effects of Vertical and Lateral Mechanisms in International Knowledge Transfer Projects  

Microsoft Academic Search

• \\u000a \\u000a \\u000a Knowledge is critical for creating and sustaining competitive advantage and in today’s fast-moving international market firms\\u000a need to leverage knowledge globally. Therefore, one important question becomes what effect different transfer mechanisms have\\u000a on transfer success.\\u000a \\u000a \\u000a \\u000a \\u000a • \\u000a \\u000a \\u000a This study investigates 169 international knowledge transfer projects in multinational corporations focusing on the role of\\u000a hierarchy, heterarchy and IT in terms of

Francesco Ciabuschi; Henrik Dellestrand; Philip Kappen

2011-01-01

79

KMPR: An experimental knowledge-based modeling prototype for robots  

Microsoft Academic Search

This paper describes a prototype of modeling and reasoning as a knowledge-based system using real time control and planning techniques as well as system dynamics. The aim was to produce an industrial robot system for real-time cell applications. The system derives cell resource information from a data management system and cell control and planning knowledge fro a knowledge-base in the

I. Mina

1987-01-01

80

A projection and density estimation method for knowledge discovery.  

PubMed

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

Stanski, Adam; Hellwich, Olaf

2012-01-01

81

Model for an Employee Wellness Project  

Microsoft Academic Search

A pilot project designed to assess the feasibility and effectiveness of a health-related employee assistance program was implemented at the University of South Carolina. One hundred interested participants were randomly selected from university faculty and administrative staff. The project utilized the following methods: 1) psychophysical tests including health risk appraisals, health knowledge levels, physical activity assessments, psychological batteries of tests,

Marybeth Love; Linda Morphis; Patricia Page

1981-01-01

82

Models of Lifelong Learning and the "Knowledge Society"  

ERIC Educational Resources Information Center

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 employment…

Green, Andy

2006-01-01

83

Lunar Mapping and Modeling Project  

NASA Technical Reports Server (NTRS)

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.

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

2009-01-01

84

Study on modeling methods for knowledge — based goal programming  

Microsoft Academic Search

Aimed at the question that goal programming is lack of modeling support and the automatic generation of model during the process of modeling, this paper systematically researches the modeling question of goal programming using knowledge engineering, machine learning and such theories, and proposes the theoretical system of \\

Xiu Lijun; Li Yuannian; Chen Yanhui

2007-01-01

85

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

ERIC Educational Resources Information Center

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…

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

2008-01-01

86

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

ERIC Educational Resources Information Center

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…

Manu, Christopher; Walker, Derek H. T.

2006-01-01

87

Practical Knowledge Builds Projects: Case for Independent Construction Information Management Proceedings IGLC '98  

E-print Network

that power in a transparent information system, managed by an independent Information Manager and sharedPractical Knowledge Builds Projects: Case for Independent Construction Information Management MANAGEMENT David Gurley1 and Bill McManus2 ABSTRACT This paper argues that the management of information

Tommelein, Iris D.

88

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

ERIC Educational Resources Information Center

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…

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

2014-01-01

89

The Collaboratory Notebook: A Networked Knowledge-Building Environment for Project Learning.  

ERIC Educational Resources Information Center

The Collaboratory Notebook, developed as part of the Learning Through Collaborative Visualization Project (CoVis), is a networked, multimedia knowledge-building environment which has been designed to help students, teachers and scientists share inquiry over the boundaries of time and space. CoVis is an attempt to change the way that science is…

O'Neill, D. Kevin; Gomez, Louis M.

90

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

ERIC Educational Resources Information Center

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…

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

2011-01-01

91

Precarious projects: conversions of (biomedical) knowledge in an East African city.  

PubMed

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

Prince, Ruth J

2014-01-01

92

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

PubMed Central

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

Prince, Ruth J.

2014-01-01

93

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)

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.

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

1992-01-01

94

MEDICAL KNOWLEDGE MODELING IN A SYMBOLIC-CONNECTIONIST PERSPECTIVE  

E-print Network

MEDICAL KNOWLEDGE MODELING IN A SYMBOLIC-CONNECTIONIST PERSPECTIVE V. Rialle1 , M. Ohayon2 , B. Amy recognition processes. A certain number of medical diagnosis aiding systems, combining these two paradigms

Paris-Sud XI, Université de

95

Space market model development project  

NASA Technical Reports Server (NTRS)

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.

Bishop, Peter C.

1987-01-01

96

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)

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.

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

1993-01-01

97

Visualization tools: Models, representations and knowledge integration  

NASA Astrophysics Data System (ADS)

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 cue the energy-density model during problem solving. On the posttest, some students drew images with dots in them, but they lacked the model that underlies the representation. Students who avoided these problems and integrated the visualizations into their thinking were highly successful on the posttest. These results suggest that for visualizations to be effective learning tools, students need to understand the visualizations and also explore underlying scientific model. Students in this study who connected the visualizations to other ideas about thermodynamics developed a robust understanding of the science. These findings inform our understanding of the science learning process. Students appear to draw from a repertoire of models in their reasoning. Visualizations are a powerful way to introduce models to students, but work best with opportunities for students to integrate the models into their thinking.

Foley, Brian John

98

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

PubMed

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 benefits and (2) energy, environmental, and security benefits emanating from R&D. PMID:19414194

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

2009-08-01

99

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

ERIC Educational Resources Information Center

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.…

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

1999-01-01

100

A threshold model of content knowledge transfer for socioscientific argumentation  

NASA Astrophysics Data System (ADS)

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 groups: high school students with variable genetics knowledge, college nonscience majors with little genetics knowledge, and college science majors with advanced genetics knowledge. During the interviews, participants advance positions concerning three scenarios dealing with gene therapy and cloning. Arguments are assessed in terms of the number of justifications offered as well as justification quality, based on a five-point rubric. Multivariate analysis of variance results indicate that college science majors outperformed the other groups in terms of justification quality and frequency. Argumentation does not differ among nonscience majors or high school students. Follow-up qualitative analyses of interview responses suggest that all three groups tend to focus on similar, sociomoral themes as they negotiate socially complex, genetic engineering issues, but that the science majors frequently reference specific science content knowledge in the justification of their claims. Results support the Threshold Model of Content Knowledge Transfer, which proposes two knowledge thresholds around which argumentation quality can reasonably be expected to increase. Research and educational implications of these findings are discussed.

Sadler, Troy D.; Fowler, Samantha R.

2006-11-01

101

Exploring stakeholder knowledge partnerships in a knowledge city: a conceptual model  

Microsoft Academic Search

Purpose – Knowledge cities (KCs) are cities in which both the private and the public sectors value knowledge, nurture knowledge, spend money on supporting knowledge dissemination and discovery and harness knowledge to create products and services that add value and create wealth. Knowledge cities fall under a new area of academic research entitled knowledge-based development (KBD), which brings together research

Kostas S. Metaxiotis; Konstantinos Ergazakis

2008-01-01

102

W-320 Project thermal modeling  

SciTech Connect

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.

Sathyanarayana, K., Fluor Daniel Hanford

1997-03-18

103

Sharks, Minnows, and Wheelbarrows: Calculus Modeling Projects  

ERIC Educational Resources Information Center

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…

Smith, Michael D.

2011-01-01

104

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

ERIC Educational Resources Information Center

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…

Karadsheh, Louay A.

2010-01-01

105

Relevant literature in support of knowledge-based simulation models  

SciTech Connect

This article describes and references the relevant literature related to knowledge-based simulation. There are essentially ten areas of literature that would likely contain relevant articles. They are the management science/operations research literature, the simulation (and modeling) literature, the production/operations management literature, the knowledge engineering and artificial intelligence literature, the systems science literature, the industrial engineering literature, the mechanical engineering literature, and the information science literature.

Morgeson, J.D.; Colston, E.; Burns, J.R.

1987-07-01

106

Models of Lifelong Learning and the ‘knowledge society’  

Microsoft Academic Search

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 employment rates—with the increasing income inequalities that attend them—or

Andy Green

2006-01-01

107

Automated extraction of knowledge for model-based diagnostics  

NASA Technical Reports Server (NTRS)

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.

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

1990-01-01

108

Knowledge Management through the Equilibrium Pattern Model for Learning  

NASA Astrophysics Data System (ADS)

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.

Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

109

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)

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.

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

1992-01-01

110

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

NASA Technical Reports Server (NTRS)

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 Energy Boost Office of the Missile Defense Agency.

2003-01-01

111

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)

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.

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

112

Evaluating knowledge benefits of automotive lightweighting materials R&D projects  

Microsoft Academic Search

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

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

2009-01-01

113

Lunar Mapping and Modeling Project  

NASA Technical Reports Server (NTRS)

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 commercial community, the lunar education and public outreach (E/PO) community, and anyone else interested in accessing or utilizing lunar data. A beta version of the portal and visualization systems is expected to be released in late 2009, with a version 1 release planned for early 2011.

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

2009-01-01

114

Ocean/Atmosphere Circulation Modeling Projects  

NSDL National Science Digital Library

This site features a comprehensive list of ocean circulation modeling projects. The models range from primitive equation to quasi-geostrophic, level to layer, regional to global, single- to multi-processor, and from well- to poorly-documented. The site provides a link and a brief description for each modeling tool or project.

S. Baum

115

Mars Pathfinder Project: Planetary Constants and Models  

NASA Technical Reports Server (NTRS)

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.

Vaughan, Robin

1995-01-01

116

Human Expertise, Statistical Models, and Knowledge-Based Systems  

Microsoft Academic Search

The focus of this chapter is the provision of decision support modeled, at least in part, on human expertise. This chapter\\u000a is divided into sections, each concerned with some aspect of the relationship between human expertise, statistical modeling,\\u000a and knowledge-based systems, in particular expert systems. The first section provides a comparison of human expert judgment\\u000a with statistical models, particularly linear

Dominic A. Clark

117

Modeling drug mechanism knowledge using evidence and truth maintenance.  

PubMed

To protect the safety of patients, it is vital that researchers find methods for representing drug mechanism knowledge that support making clinically relevant drug-drug interaction (DDI) predictions. Our research aims to identify the challenges of representing and reasoning with drug mechanism knowledge and to evaluate potential informatics solutions to these challenges through the process of developing a knowledge-based system capable of predicting clinically relevant DDIs that occur via metabolic mechanisms. In previous work, we designed a simple, rule-based, model of metabolic inhibition and induction and applied it to a database containing assertions about 267 drugs. This pilot system taught us that drug mechanism knowledge is often dynamic, missing, or uncertain. In this paper, we propose methods to address these properties of mechanism knowledge and describe a new prototype system, the Drug Interaction Knowledge-base (DIKB), that implements our proposed methods so that we can explore their strengths and limitations. A novel feature of the DIKB is its use of a truth maintenance system to link changes in the evidence support for assertions about drug properties to the set of interactions and non-interactions the system predicts. PMID:17674621

Boyce, Richard D; Collins, Carol; Horn, John; Kalet, Ira

2007-07-01

118

Understanding the Codevelopment of Modeling Practice and Ecological Knowledge  

ERIC Educational Resources Information Center

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…

Manz, Eve

2012-01-01

119

Fuzzy modeling of farmers' knowledge for land suitability classification  

Microsoft Academic Search

In a case study, we demonstrate fuzzy modeling of farmers' knowledge (FK) for agricultural land suitability classification using GIS. Capture of FK was through rapid rural participatory approach. The farmer respondents consider, in order of decreasing importance, cropping season, soil color, soil texture, soil depth and slope as factors of suitability of their land for certain crops. Multi-class fuzzy sets

Rodrigo S. Sicat; Emmanuel John M. Carranza; Uday Bhaskar Nidumolu

2005-01-01

120

Towards Modeling Threaded Discussions using Induced Ontology Knowledge  

E-print Network

and the thread to which it belongs. The analysis is based on the focus of a discussion thread, or topic focus to the topic of the full thread. Existing efforts in text mining and topic analysis in the natural languageTowards Modeling Threaded Discussions using Induced Ontology Knowledge Donghui Feng Jihie Kim Erin

Kim, Jihie

121

An Integrated Model for Effective Knowledge Management in Chinese Organizations  

ERIC Educational Resources Information Center

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…

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

2013-01-01

122

A Proposed Model of Jazz Theory Knowledge Acquisition  

ERIC Educational Resources Information Center

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…

Ciorba, Charles R.; Russell, Brian E.

2014-01-01

123

Modeling Semantic and Structural Knowledge in Web Navigation  

ERIC Educational Resources Information Center

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 (Juvina,…

Juvina, Ion; van Oostendorp, Herre

2008-01-01

124

Combining domain knowledge and statistical models in time series analysis  

Microsoft Academic Search

This paper describes a new approach to time series modeling that\\u000acombines subject-matter knowledge of the system dynamics with statistical\\u000atechniques in time series analysis and regression. Applications to American\\u000aoption pricing and the Canadian lynx data are given to illustrate this approach.

Tze Leung Lai; Samuel Po-Shing Wong

2006-01-01

125

Mars Pathfinder Project: Planetary Constants and Models  

NASA Technical Reports Server (NTRS)

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.

Lyons, D.; Vaughn, R.

1999-01-01

126

Model Tech Prep Demonstration Project. Final Report.  

ERIC Educational Resources Information Center

The Southern Maryland Educational Consortium's Tech Prep Model Demonstration project is described in this final report. The consortium members are Calvert, Charles, and St. Mary's county school districts and Charles County Community College in southern Maryland. The project is based on a 4 + 2 model in which ninth-grade students develop career…

Southern Maryland Educational Consortium, La Plata.

127

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

SciTech Connect

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.

Sanfilippo, Antonio P.; Nibbs, Faith G.

2007-08-24

128

Yield model development project implementation plan  

NASA Technical Reports Server (NTRS)

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.

Ambroziak, R. A.

1982-01-01

129

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

NASA Astrophysics Data System (ADS)

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.

Talaš, Jakub; Gregar, Tomáš; Pitner, Tomáš

130

Knowledge Management in BID Preparation for Global Engineering and Manufacturing Projects  

NASA Astrophysics Data System (ADS)

The core competence of a global engineering and manufacturing enterprise increasingly depends on the quality of its intellectual resources and how these resources are used in critical missions such as bid preparation. This paper discusses the knowledge management issues in the development of VIEWBID, a web-based system for supporting online bidding document preparation for global engineering and manufacturing projects. The VIEWBID system aims to supports inter-enterprise collaboration for compiling accurate bids. The enterprise engineering architectures and methodologies, such as VERA and iRoadmap, have been used to analyze the bidding process to capture different levels of procedural knowledge. A set of component-based technologies has been developed using XML and Java to capture, configure and compose the bidding documents.

Zhou, Mingwei; Mo, John; Nemes, Laszlo; Hall, William

131

Competency model for the project managers of technical projects  

NASA Astrophysics Data System (ADS)

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.'

Duncan, William R.

1992-05-01

132

Linking knowledge and action through mental models of sustainable agriculture  

PubMed Central

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

Hoffman, Matthew; Lubell, Mark; Hillis, Vicken

2014-01-01

133

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)

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.

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

134

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

NASA Technical Reports Server (NTRS)

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.

Kiss, Peter A.

1990-01-01

135

Handling Model Uncertainty: The Importance of Human Knowledge  

NASA Astrophysics Data System (ADS)

Most approaches for addressing model uncertainty focus on finding new ways to better quantify the various components that contribute to uncertainty (measurement error, parameter error, model error, etc.). If this is the sole basis for creating model forecasts under uncertainty, the resulting error bounds can be so large as to make the forecasts useless. This paper will illustrate the importance of human knowledge in narrowing the number and types of potential models and decision strategies that are considered, focusing on case studies in groundwater model calibration and monitoring design. An interactive optimization framework is presented that balances expert judgment with traditional quantitative objectives such as model error. Results show how the expert's input shifts model and management strategy selection to more reasonable solutions that still perform extremely well on traditional error metrics. Ideas for extending the research to include multiple stakeholders and robust optimization will also be presented.

Minsker, B. S.; Singh, A.; Babbar-Sebens, M.

2012-12-01

136

Fuzzy finish time modeling for project scheduling  

Microsoft Academic Search

This research aims at developing a new fuzzy activity finish time estimation model for project scheduling management. With\\u000a the application of the fuzzy quality function deployment (FQFD) and fuzzy analytic hierarchy process (FAHP) methods, the degree\\u000a of fuzziness for every project activity is calculated in accordance with considerations of project uncertainties. These uncertainties\\u000a are measured by the risk level of

Yu-chuan Liu; Shih-ming Yang; Yu-te Lin

2010-01-01

137

Projecting electricity consumption with an econometric model  

SciTech Connect

Using an econometric model estimated with state data for the period 1961-1982, long-term projections of the growth rate in electricity consumption are presented. A projection of 3.25% per year is produced by an aggregate model. Using a similar model estimated on a regional basis, an aggregate projection of 4.19% is obtained. The main variable contributing to these projections are economic expansion, broadly defined to include income and the number of customers. Although the price of electricity is a statistically significant variable, this price is projected to be approximately stable in real terms, and hence not to contribute to electricity demand. 10 references, 1 figure, 5 tables.

Sutherland, R.J.

1987-01-01

138

Study on Ontology-Based Knowledge Base Model for Nutritional Evaluation  

Microsoft Academic Search

In recent years, ontology as a method of knowledge description has been widely used in knowledge engineering, information retrieval and acquisition, knowledge base system and other information sciences. This article introduced ontology into the fields of nutrition, expounded the basic concepts of ontology and knowledge base, and proposed ontology-based knowledge base model for nutritional evaluation. On this basis, it pointed

Yang Feng; Gaoping Wang

2010-01-01

139

World Energy Projection System model documentation  

Microsoft Academic Search

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

M. J. Hutzler; A. T. Anderson

1997-01-01

140

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)

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.

Pinelli,Thomas E.; Golich, Vicki L.

1997-01-01

141

Starting the Conversation – A Childhood Obesity Knowledge Project Using an App  

PubMed Central

Purpose Starting the Conversation was a pilot project to test an intervention for childhood obesity, a major public health epidemic, using a free smartphone application (app). The primary aim was to assess students’ knowledge of nutritional indicators, physical exercise and use of screen time before and after the intervention. Methods The study was conducted in 2011–2012. The sample, recruited from seven high schools in Snohomish County, Washington, was 65.3% minority participants. Of the 118 participants in the sample (n=118), 79 handwrote their responses (n=78) and 36 responded via the app (n=39). We compared the frequency and types of physical exercise, frequency of screen time, and nutritional variables of high school students. Participants used the cell phone app or a handwritten log to record their daily entries for 20 days. Results Both males (n=43) and females (n=75) grades 9–12 used the app or handwritten entries. Participants who used the app ate less fast food and exercised more, as compared with those who recorded their entries by hand. Screen time usage decreased over the course of the study, based on a comparison of the post-survey level and the pre-survey level. Knowledge of recommended daily consumption of vegetables increased post-test in the app group and knowledge of water consumption increased significantly in both groups. There was no significant difference in BMI pre and post-test. Conclusions Patterns of nutritional intake, physical exercise and knowledge of these issues varied pre and post-test. It is critical to further examine factors associated with lack of physical activity and food intake patterns of youth using social media to further address the childhood obesity epidemic. Future research should focus on specific ethnic subgroups and an intervention at the school level aimed at the students with BMI ? 95th percentile. PMID:24678462

Appel, Hoa B.; Huang, Bu; Cole, Allison; James, Rosalina; Ai, Amy L.

2014-01-01

142

Project T.A.C.K.L.E. (Together, Addressing the Challenges of Knowledge and Literacy for Employees). Evaluation Report.  

ERIC Educational Resources Information Center

Project TACKLE (Together, Addressing the Challenge of Knowledge and Literacy for Employees) was a cooperative project, jointly developed to address employees with the inadequate basic skills necessary to operate modernized, technical equipment and maintain job security. Approximately 500 current employees of General Motors, Flint, Michigan, used…

General Motors Corp., Detroit, MI.

143

Ocean Circulation and Climate Advanced Modeling Project  

NSDL National Science Digital Library

The Ocean Circulation and Climate Advanced Modeling Project (OCCAM) uses a primitive equation numerical model to develop several high resolution visualizations of the world's oceans, including the Arctic Ocean and marginal seas such as the Mediterranean. This site features a selection of animation sequences and Quicktime movies from the model at Â, 1/8, and 1/12 degree resolutions. Data from the model may also be requested, and after being prepared off-line, users can collect the data via ftp. The site also includes model details and parameters, an explanation of data assimilation methods, and links to publications and related projects.

Southampton Oceanography Centre

144

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)

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.

Pinelli, Thomas E.; Kennedy, John M.

1990-01-01

145

#. Creating Metabolic Network Models using Text Mining and Expert Knowledge  

E-print Network

- tential metabolic relationships from the PubMed database. These relation- ships are then reviewed by a domain expert and added to an existing network model. The result is visualized using an interactive graph this tool op- erates. The goal of this project is to develop a publicly available software suite called

Wurtele, Eve Syrkin

146

Creating Metabolic Network Models using Text Mining and Expert Knowledge  

E-print Network

-mining tool that pulls out potential metabolic relationships from the PubMed database. These relationships an interactive graph display module. The basic metabolic or regulatory flow in the network is modeled using fuzzy show how this tool operates. The goal of this project is to develop a publicly available software suite

Dickerson, Julie A.

147

Temporal and contextual knowledge in model-based expert systems  

NASA Technical Reports Server (NTRS)

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.

Toth-Fejel, Tihamer; Heher, Dennis

1987-01-01

148

A CSCW data mining model for spatial knowledge production  

NASA Astrophysics Data System (ADS)

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.

Yu, Liang; Tian, Yangge; Bian, Fuling

2007-11-01

149

Climate, Ocean, and Sea Ice Modeling Project  

NSDL National Science Digital Library

This site provides an overview of the Climate, Ocean and Sea Ice Modeling Project (COSIM) and its mission to develop sea ice and ocean models which can be applied to coupled climate models. Research areas include polar processes, thermohaline circulation, ocean biogeochemistry, and eddy resolving ocean simulations. Available models include the Parallel Ocean Program (POP), the Los Alamos Sea Ice Model, and eventually the hybrid vertical coordinate version of POP. In addition, COSIM researchers have provided substantial input and development to the Miami Isopycnal Coordinate Ocean Model and its hybrid vertical coordinate equivalent Hybrid Coordinate Ocean Model. Links to these model pages contain model downloads, documentation and data.

Los Alamos National National Laboratory

150

A Formal Model for Software Project Management  

Microsoft Academic Search

Absfraet-A model called DesignNet for describing and monitoring the software development process is presented. This model utilizes the AND\\/OR graph and Petri net notation to provide the description of a project work breakdown structure and the specification of relationships among different project information types (activity. product, resource, and status report information). Tokens are objects with specific properties. Token propagation through

Lung-chun Liu; Ellis Horowitz

1989-01-01

151

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

ERIC Educational Resources Information Center

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…

Brossard, Dominique; Lewenstein, Bruce; Bonney, Rick

2005-01-01

152

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

NASA Astrophysics Data System (ADS)

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 damage in euros by hectare for 14 agricultural lands categories. As a conclusion, we will discuss the validation step of the model. Although the model was validated by experts, we analyse how it could gain insight from comparison with past events.

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

2014-05-01

153

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

NASA Technical Reports Server (NTRS)

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.

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

1992-01-01

154

Scientist-Centered Graph-Based Models of Scientific Knowledge  

SciTech Connect

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.

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

2005-07-01

155

Project Descriptions: Model Curricula for Alcohol and Other Drug Abuse Physician and Nurse Education.  

ERIC Educational Resources Information Center

Brief descriptions are presented of 12 model curriculum projects which are part of a program to develop and demonstrate effective models for integrating alcohol and other drug abuse teaching into the medical and nurse education curriculum. The models are based upon discipline-specific knowledge and skill objectives and address undergraduate,…

National Inst. on Drug Abuse (DHHS/PHS), Rockville, MD.

156

Epistemic trust: modeling children's reasoning about others' knowledge and intent.  

PubMed

A core assumption of many theories of development is that children can learn indirectly from other people. However, indirect experience (or testimony) is not constrained to provide veridical information. As a result, if children are to capitalize on this source of knowledge, they must be able to infer who is trustworthy and who is not. How might a learner make such inferences while at the same time learning about the world? What biases, if any, might children bring to this problem? We address these questions with a computational model of epistemic trust in which learners reason about the helpfulness and knowledgeability of an informant. We show that the model captures the competencies shown by young children in four areas: (1) using informants' accuracy to infer how much to trust them; (2) using informants' recent accuracy to overcome effects of familiarity; (3) inferring trust based on consensus among informants; and (4) using information about mal-intent to decide not to trust. The model also explains developmental changes in performance between 3 and 4 years of age as a result of changing default assumptions about the helpfulness of other people. PMID:22490183

Shafto, Patrick; Eaves, Baxter; Navarro, Daniel J; Perfors, Amy

2012-05-01

157

Dust Observations for Models: Project Overview  

NASA Astrophysics Data System (ADS)

Climate and weather prediction hinge on numerical models. Most of the climate models included in the Coupled Model Intercomparison Project 5 (CMIP5) and which will underpin the Intergovernmental Panel for Climate Change 5th Assessment Report (IPCC AR5) include a dust module because dust is known to play an important role in the Earth system. However dust emission schemes in climate models are relatively simple and are tuned to represent observed background aerosol concentrations most of which are many thousands of kilometres from source regions. The physics of dust emission in the models was developed from idealised experiments such as those conducted in wind tunnels decades ago. Improvement of current model dust emission schemes has been difficult to achieve because of the paucity of observations from key dust sources. Dust Observations for Models (DO4Models) is a project designed to gather data from source regions at a scale appropriate to climate model grid box resolution. The UK NERC funded project, led by the University of Oxford, aims to: 1) Generate a data set at an appropriate scale for climate models which characterises surface erodibility and erosivity in dust source areas from remote sensing and fieldwork 2) Quantify how observed erodibility and erosivity influence observed emissions at the climate model scale 3) Test, develop and optimise the dust emission scheme for the Met Office regional model (HadGEM3-RA) using this unique dust source area data set 4) Quantify which component(s) of observed erodibility and erosivity, and at what spatial scale, make the largest improvement to physically-based, observationally optimised dust emission simulations in climate models. This paper provides a project overview and some early observational and modelling results from the 2011 field season.

Washington, Richard; Wiggs, Giles; King, James; Thomas, David; Haustein, Karsten; Eckardt, Frank; Vickery, Kate; Bryant, Rob; Nield, Jo; Murray, John; Brindley, Helen

2013-04-01

158

Modelling collaborative knowledge to support engineering design project manager  

Microsoft Academic Search

Product development cycles are nowadays tightened to the minimum and submitted to a growing competitive pressure. However, product and process complexities are constantly increasing. This paradox requires new organisational concepts to satisfy customers’ requirements. Design actors are therefore invited to collaborate more and more closely in order to enhance design efficiency. Collaborative design process gathers actors which have to achieve

Vincent Robin; Bertrand Rose; Philippe Girard

2007-01-01

159

Modeling Success in FLOSS Project Groups  

SciTech Connect

A significant challenge in software engineering is accurately modeling projects in order to correctly forecast success or failure. The primary difficulty is that software development efforts are complex in terms of both the technical and social aspects of the engineering environment. This is compounded by the lack of real data that captures both the measures of success in performing a process, and the measures that reflect a group s social dynamics. This research focuses on the development of a model for predicting software project success that leverages the wealth of available open source project data in order to accurately model the behavior of those software engineering groups. Our model accounts for both the technical elements of software engineering as well as the social elements that drive the decisions of individual developers. We use agent-based simulations to represent the complexity of the group interactions, and base the behavior of the agents on the real software engineering data acquired. For four of the five project success measures, our results indicate that the developed model represents the underlying data well and provides accurate predictions of open source project success indicators.

Beaver, Justin M [ORNL; Cui, Xiaohui [ORNL; ST Charles, Jesse Lee [ORNL; Potok, Thomas E [ORNL

2009-01-01

160

Space market model development project, phase 3  

NASA Technical Reports Server (NTRS)

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.

Bishop, Peter C.; Hamel, Gary P.

1989-01-01

161

Regional knowledge analysis of artificial neural network models and a robust model predictive control architecture  

Microsoft Academic Search

Model based control schemes such as model predictive control are highly related to the accuracy of the proces model. A regional-knowledge index is proposed in this study and applied in the analysis of dynamic artificial neural network models in process control. To tackle the extrapolation problem and assure stability of the control system, we propose to run a neural adaptive

Chia Huang Yen; Po-Feng Tsai; Shi-Shang Jang

2003-01-01

162

World Energy Projection System model documentation  

SciTech Connect

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.

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

1997-09-01

163

[Knowledge of laws by students with hearing impairment: results from the GINKO-project].  

PubMed

Legislation for people with disabilities has also changed due to other changes in the law, especially due to the recent ratification of the UN Convention on the Rights of Persons with Disabilities. These laws, in particular the UN Convention on the Rights of Persons with Disabilities, with its inclusion of the right to equitable and universal access to education for people with disabilities and their implementation, are of central importance for students who are impaired. As part of the GINKO (the legislative effect laws have on the professional integration of those who are hard of hearing, people who have gone deaf and those who are deaf through communication and organization; promotion: BMAS) project, the following questions were also brought up for discussion and were investigated: to what extent hearing-impaired students are aware of legislation that benefits them, whether these laws will be implemented, and what factors have an impact on this legal knowledge or its implementation. Overall, 4,825 handicapped individuals with hearing impairments - including n=166 students - took part in the survey. The results of the evaluation of the group of hearing-impaired students indicate that many of them are not informed about laws important to them. It was also found that the knowledge of a law cannot be equated with its implementation. This survey also resulted in a resolve for the future, to demand information about legal options be reinforced, and to adjust this information to fit the needs of specific target groups, e.g. this information could be disseminated through sign language films. On the other hand, these results also apply to higher education, for these institutions to create learning conditions where existing regulatory design options for students with disabilities are implemented, thereby affording students an equal opportunity to participate in higher education. PMID:23824568

Weber, A; Weber, U; Schlenker-Schulte, C; Schulte, K

2013-12-01

164

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)

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).

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

1994-01-01

165

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

ERIC Educational Resources Information Center

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…

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

2008-01-01

166

Smoke and Emissions Model Intercomparison Project (SEMIP)  

NASA Astrophysics Data System (ADS)

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.

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

2008-12-01

167

A Design Thinking Approach to Teaching Knowledge Management  

ERIC Educational Resources Information Center

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.)

Wang, Shouhong; Wang, Hai

2008-01-01

168

The ITER toroidal field model coil project  

Microsoft Academic Search

The ITER toroidal field model coil (TFMC) was designed, constructed and tested by the European Home Team in the framework of the ITER research and development program of the Engineering Design Activities (EDA). The project was performed under the leadership of European Fusion Development Activity\\/Close Support Unit (EFDA\\/CSU), Garching, in collaboration with the European superconductor laboratories and the European industry.

A. Ulbricht; J. L. Duchateau; W. H. Fietz; D. Ciazynski; H. Fillunger; S. Fink; R. Heller; R. Maix; S. Nicollet; S. Raff; M. Ricci; E. Salpietro; G. Zahn; R. Zanino; M. Bagnasco; D. Besette; E. Bobrov; T. Bonicelli; P. Bruzzone; M. S. Darweschsad; P. Decool; N. Dolgetta; A. della Corte; A. Formisano; A. Grünhagen; P. Hertout; W. Herz; M. Huguet; F. Hurd; Yu. Ilyin; P. Komarek; P. Libeyre; V. Marchese; C. Marinucci; A. Martinez; R. Martone; N. Martovetsky; P. Michael; N. Mitchell; A. Nijhuis; G. Nöther; Y. Nunoya; M. Polak; A. Portone; L. Savoldi Richard; M. Spadoni; M. Süßer; S. Turtú; A. Vostner; Y. Takahashi; F. Wüchner; L. Zani

2005-01-01

169

Watershed, Climate, Hydrology Modeling Joint Projects of  

E-print Network

of Agriculture & Home EconomicsCollege of Agriculture & Home Economics ­­ WaterWater Task ForceTask ForceWatershed, Climate, Hydrology Modeling Joint Projects of NMSU Water Task Force and Center for Applied Remote Sensing in Agriculture, Meteorology, and Environment #12;Purpose A cooperative effort

170

Spherical Regression Models Using Projective Linear Transformations  

E-print Network

studied projected linear regression models in situations where only the response variable was directional and one-dimensional. Due to a growing awareness of geometrical and computational tools there has been-norm constraint on the data, i.e. analysis of unit-length vectors, leads to the representation space becoming

Srivastava, Anuj

171

AMIP: The Atmospheric Model Intercomparison Project  

Microsoft Academic Search

The Atmospheric Model Intercomparison Project (AMIP) is an international effort to determine the systematic climate errors of atmospheric models under realistic conditions, and calls for the simulation of the climate of the decade 1979--1988 using the observed monthly-averaged distributions of sea-surface temperature and sea ice as boundary conditions. Organized by the Working Group on Numerical Experimentation (WGNE) of the World

W. Lawrence Gates

1992-01-01

172

Page 1 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the  

E-print Network

Page 1 © 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the Standardized Biofilm Methods Laboratory in the CBE KSA-SM-011 How to decide whether MSU Center for Biofilm Engineering Need a new frame- work for SR accepta- bility decisions

Maxwell, Bruce D.

173

Page 1 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the  

E-print Network

Page 1 © 2011 MSU Center for Biofilm Engineering This series of knowledge sharing articles is a project of the Standardized Biofilm Methods Laboratory in the CBE KSA-SM-011 How to decide whether disinfectant test methods. The review included many #12;Page 2 © 2011 MSU Center for Biofilm Engineering Need

Maxwell, Bruce D.

174

Jobs and Community Improvements--A Handbook for Enhanced Work Projects. Implementation Issues. Youth Knowledge Development Report 8.1.  

ERIC Educational Resources Information Center

This volume is one of the products of the knowledge development activities mounted in conjunction with research, evaluation, and development activities funded under the Youth Employment and Demonstration Projects Act of 1977. Based on the Ventures in Community Improvement (VICI) "enhanced" job training/job placement approach, which used…

Corporation for Public/Private Ventures, Philadelphia, PA.

175

A Report on Local Knowledge Development: Initiatives, Themes and Approaches under the Youth Employment and Demonstration Projects Act (YEDPA).  

ERIC Educational Resources Information Center

A review was conducted to assess early initiatives by Comprehensive Employment and Training Act (CETA) prime sponsors in knowledge development under the Youth Employment and Demonstration Projects Act of 1977. The review was based on two waves of site visits to a total of 19 prime sponsors, in May-June, 1979, and in November-January, 1979-80. From…

MDC, Inc., Chapel Hill, NC.

176

Knowledge value chain  

Microsoft Academic Search

Introduces the knowledge value chain model as a knowledge management (KM) framework. The model consists of knowledge infrastructure (knowledge worker recruitment, knowledge storage capacity, customer\\/supplier relationship and CKO and management), the process of KM (knowledge acquisition, knowledge innovation, knowledge protection, knowledge integration, and knowledge dissemination), and the interaction among those components resulting in knowledge performance. Further to the discussion of

Ching Chyi Lee; Jie Yang

2000-01-01

177

Knowledge Management, Value Chain Modelling and Simulation as Primary Tools for  

E-print Network

Knowledge Management, Value Chain Modelling and Simulation as Primary Tools for Mass Customization of the company's value chain. Knowledge management is a tool that assures this collaboration by better capturing presents Knowledge management, value chain modelling and simulation as tools for MC implementation, applied

Paris-Sud XI, Université de

178

Knowledge Service Models of Digital Library in Distance Education Environment & Their Realization  

Microsoft Academic Search

Digital library (DL) follows four principles to provide knowledge service, i.e. user-driving principle, specialization principle, personalization principle, dynamic principle and integration principle. These principles make it possible to solve the actual problems in distance education. In this paper, the knowledge service models of DL in distance education environment are summed up into specialized service model based on subject knowledge base,

Mingjie Li; Mingjuan Li

2009-01-01

179

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

ERIC Educational Resources Information Center

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…

Kim, Henry M.

2000-01-01

180

Preserved Tool Knowledge in the Context of Impaired Action Knowledge: Implications for Models of Semantic Memory  

PubMed Central

A number of studies have observed that the motor system is activated when processing the semantics of manipulable objects. Such phenomena have been taken as evidence that simulation over motor representations is a necessary and intermediary step in the process of conceptual understanding. Cognitive neuropsychological evaluations of patients with impairments for action knowledge permit a direct test of the necessity of motor simulation in conceptual processing. Here, we report the performance of a 47-year-old male individual (Case AA) and six age-matched control participants on a number of tests probing action and object knowledge. Case AA had a large left-hemisphere frontal-parietal lesion and hemiplegia affecting his right arm and leg. Case AA presented with impairments for object-associated action production, and his conceptual knowledge of actions was severely impaired. In contrast, his knowledge of objects such as tools and other manipulable objects was largely preserved. The dissociation between action and object knowledge is difficult to reconcile with strong forms of the embodied cognition hypothesis. We suggest that these, and other similar findings, point to the need to develop tractable hypotheses about the dynamics of information exchange among sensory, motor and conceptual processes. PMID:23641205

Garcea, Frank E.; Dombovy, Mary; Mahon, Bradford Z.

2013-01-01

181

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

ERIC Educational Resources Information Center

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…

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

2006-01-01

182

NASA's Aviation Safety and Modeling Project  

NASA Technical Reports Server (NTRS)

The Aviation Safety Monitoring and Modeling (ASMM) Project of NASA's Aviation Safety program is cultivating sources of data and developing automated computer hardware and software to facilitate efficient, comprehensive, and accurate analyses of the data collected from large, heterogeneous databases throughout the national aviation system. The ASMM addresses the need to provide means for increasing safety by enabling the identification and correcting of predisposing conditions that could lead to accidents or to incidents that pose aviation risks. A major component of the ASMM Project is the Aviation Performance Measuring System (APMS), which is developing the next generation of software tools for analyzing and interpreting flight data.

Chidester, Thomas R.; Statler, Irving C.

2006-01-01

183

THE FICHTEAN IDEA OF THE SCIENCE OF KNOWLEDGE AND THE HUSSERLIAN PROJECT  

E-print Network

on them, but a study of the plan of science, of the exigency of an apodictic foundation to science as such. A science has at the same time both a content and a form— what is known and what one knows of it--the object of the knowledge and the knowledge... of the human spirit; it is clearly assured by it and placed beyond doubt." 8 Absolute knowledge, the knowledge in immanence, is not opposed to the indefinite richness of experience; it shows how this richness is possible; the "closing of absolute knowledge...

Hyppolite, Jean; Nemeth, Tom (translator)

184

Projected shell model description for nuclear isomers  

E-print Network

Nuclear isomer is a current research focus. To describe isomers, we present a method based on the Projected Shell Model. Two kinds of isomers, K-isomers and shape isomers, are discussed. For the K-isomer treatment, K-mixing is properly implemented in the model. It is found however that in order to describe the strong K-violation more efficiently, it may be necessary to further introduce triaxiality into the shell model basis. To treat shape isomers, a scheme is outlined which allows mixing those configurations belonging to different shapes.

Yang Sun

2008-03-12

185

How Structure Shapes Dynamics: Knowledge Development in Wikipedia - A Network Multilevel Modeling Approach  

PubMed Central

Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base. PMID:25365319

Halatchliyski, Iassen; Cress, Ulrike

2014-01-01

186

How structure shapes dynamics: knowledge development in Wikipedia--a network multilevel modeling approach.  

PubMed

Using a longitudinal network analysis approach, we investigate the structural development of the knowledge base of Wikipedia in order to explain the appearance of new knowledge. The data consists of the articles in two adjacent knowledge domains: psychology and education. We analyze the development of networks of knowledge consisting of interlinked articles at seven snapshots from 2006 to 2012 with an interval of one year between them. Longitudinal data on the topological position of each article in the networks is used to model the appearance of new knowledge over time. Thus, the structural dimension of knowledge is related to its dynamics. Using multilevel modeling as well as eigenvector and betweenness measures, we explain the significance of pivotal articles that are either central within one of the knowledge domains or boundary-crossing between the two domains at a given point in time for the future development of new knowledge in the knowledge base. PMID:25365319

Halatchliyski, Iassen; Cress, Ulrike

2014-01-01

187

Integrating BioPAX pathway knowledge with SBML models.  

PubMed

Online databases store thousands of molecular interactions and pathways, and numerous modelling software tools provide users with an interface to create and simulate mathematical models of such interactions. However, the two most widespread used standards for storing pathway data (biological pathway exchange; BioPAX) and for exchanging mathematical models of pathways (systems biology markup language; SBML) are structurally and semantically different. Conversion between formats (making data present in one format available in another format) based on simple one-to-one mappings may lead to loss or distortion of data, is difficult to automate, and often impractical and/or erroneous. This seriously limits the integration of knowledge data and models. In this paper we introduce an approach for such integration based on a bridging format that we named systems biology pathway exchange (SBPAX) alluding to SBML and BioPAX. It facilitates conversion between data in different formats by a combination of one-to-one mappings to and from SBPAX and operations within the SBPAX data. The concept of SBPAX is to provide a flexible description expanding around essential pathway data - basically the common subset of all formats describing processes, the substances participating in these processes and their locations. SBPAX can act as a repository for molecular interaction data from a variety of sources in different formats, and the information about their relative relationships, thus providing a platform for converting between formats and documenting assumptions used during conversion, gluing (identifying related elements across different formats) and merging (creating a coherent set of data from multiple sources) data. PMID:21028923

Ruebenacker, O; Moraru, I I; Schaff, J C; Blinov, M L

2009-09-01

188

A knowledge-based modeling for plantar pressure image reconstruction.  

PubMed

It is known that prolonged pressure on the plantar area is one of the main factors in developing foot ulcers. With current technology, electronic pressure monitoring systems can be placed as an insole into regular shoes to continuously monitor the plantar area and provide evidence on ulcer formation process as well as insight for proper orthotic footwear design. The reliability of these systems heavily depends on the spatial resolution of their sensor platforms. However, due to the cost and energy constraints, practical wireless in-shoe pressure monitoring systems have a limited number of sensors, i.e., typically K < 10. In this paper, we present a knowledge-based regression model (SCPM) to reconstruct a spatially continuous plantar pressure image from a small number of pressure sensors. This model makes use of high-resolution pressure data collected clinically to train a per-subject regression function. SCPM is shown to outperform all other tested interpolation methods for K < 60 sensors, with less than one-third of the error for K = 10 sensors. SCPM bridges the gap between the technological capability and medical need and can play an important role in the adoption of sensing insole for a wide range of medical applications. PMID:24833414

Ostadabbas, Sarah; Nourani, Mehrdad; Saeed, Adnan; Yousefi, Rasoul; Pompeo, Matthew

2014-10-01

189

Constructing a library of domain knowledge for automated modelling of aquatic ecosystems  

Microsoft Academic Search

Conceptual mathematical modelling of aquatic ecosystems comprises a considerable amount of knowledge reflected through a vast variety of different models that can be found in literature. While there is a growing interest in developing unifying documentation systems that allow storage of these models, not much work has been done yet on formalization and storage of the modelling knowledge itself. Such

Nataša Atanasova; Ljup?o Todorovski; Sašo Džeroski; Boris Kompare

2006-01-01

190

Knowledge Management for Distributed Agile Processes: Models, Techniques, and Infrastructure  

Microsoft Academic Search

This report summarizes presentations and discussions of the IEEE WETICE 2003 Workshop on Knowledge Management for Distributed Agile Processes. The main goals of the workshop were to bring together practitioners and researchers from the areas of Knowledge Management and Agile Processes from different domains to discuss the current state of ongoing research efforts and to share practical experiences with adaptation

Harald Holz; Grigori Melnik; Martin Schaaf

2003-01-01

191

Designing a Trust Evaluation Model for Open-Knowledge Communities  

ERIC Educational Resources Information Center

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…

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

2014-01-01

192

Integrating Observations and Knowledges for Earthquake Precursors Studies. Preliminary results and strategy of PRE-EARTHQUAKES FP7 Project  

NASA Astrophysics Data System (ADS)

From the combined use of different observations/parameters, from the refinement of data analysis methods and the development of suitable physical models, we are expecting major progresses in the research on earthquake's preparatory phases. More than from the use of a single parameter approach, reduced false alarm rates and improved reliability and precision (in the space-time domain) of predictions, are expected from a multi-parameter observational, multi-disciplinary, research, strategy. Less than one year after its start, PRE-EARTHQUAKES FP7 Project already demonstrated its capability to commit together independent expertise and different observation capabilities in order: a) to substantially improve our knowledge of preparatory phases of earthquakes and their possible precursors; b) to promote a worldwide Earthquake Observation System (EQuOS) as a dedicated component of GEOSS (Global Earth Observation System of Systems); c) to develop and offer to the international scientific community an integration platform where independent observations and new data analysis methodologies devoted to the research on/of earthquake precursors can be collected and cross-validated. In this paper results achieved so far, in particular on the earthquakes selected as test cases occurred in recent years in Italy (M6.3 Abruzzo April 2009), Sakhalin (M6,2, Nevelsk, August 2007) and Turkey (M6,1, Elazig March 2010) will be presented emphasizing the significant added values guaranteed by a multi-parameter, multi-disciplinary strategy.

Tramutoli, V.; Inan, S.; Jakowski, N.; Pulinets, S. A.; Romanov, A.; Filizzola, C.; Shagimuratov, I.; Pergola, N.; Genzano, N.; Alparslan, E.; Wilken, V.; Tsybulia, K.; Romanov, A.; Paciello, R.; Zakharenkova, I.; Lisi, M.; Borrries, C.; Trusov, S.; Coviello, I.; PRE-EARTHQUAKES Team

2011-12-01

193

Dust Observations for Models (DO4Models): Project Overview  

NASA Astrophysics Data System (ADS)

Climate and weather prediction hinge on numerical models. Most of the climate models included in the Coupled Model Intercomparison Project 5 (CMIP5) and which will underpin the Intergovernmental Panel for Climate Change 5th Assessment Report (IPCC AR5) include a dust module because dust is known to play an important role in the Earth system. However dust emission schemes in climate models are relatively simple and are tuned to represent observed background aerosol concentrations most of which are many thousands of kilometres from source regions. The physics of dust emission in the models was developed from idealised experiments such as those conducted in wind tunnels decades ago. Improvement of current model dust emission schemes has been difficult to achieve because of the paucity of observations from key dust sources. Dust Observations for Models (DO4Models) is a project designed to gather data from source regions at a scale appropriate to climate model grid box resolution. The UK NERC funded project, led by the University of Oxford, aims to: 1) Generate a data set at an appropriate scale for climate models which characterises surface erodibility and erosivity in dust source areas from remote sensing and fieldwork 2) Quantify how observed erodibility and erosivity influence observed emissions at the climate model scale 3) Test, develop and optimise the dust emission scheme for the Met Office regional model (HadGEM3-RA) using this unique dust source area data set 4) Quantify which component(s) of observed erodibility and erosivity, and at what spatial scale, make the largest improvement to physically-based, observationally optimised dust emission simulations in climate models. This paper provides a project overview and some early observational and modelling results from the 2011 field season.

Washington, R.; Wiggs, G.; King, J.; Thomas, D. S.; Woodward, S.; Eckardt, F. D.; Haustein, K.; Vickery, K.; Bryant, R. G.; Nield, J. M.; Murray, J.; Brindley, H.; Jones, R.

2012-12-01

194

The Nature of Knowledge and Decisions on Activity Sourcing: An Innovation Model  

Microsoft Academic Search

The main drivers for R&D collaboration uncovered by the economic literature are the access to external cognitive capabilities and costs. Very seldom the nature of knowledge has been considered a determining factor for activity externalisation. This paper analyses the role of the nature of knowledge in the locus of innovation. Then, a knowledge management model for the internalisation of innovative

Ana Redondo Cano; Guillermo Perez-Bustamante

2006-01-01

195

Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling  

E-print Network

- use. We describe ongoing research on the use of case-based reasoning methods to support the knowledgeCombining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling Alberto. This research is supported in part by NASA under award No NCC 2-1035. Abstract Knowledge management depends

Leake, David B.

196

Model based systems engineering for astronomical projects  

NASA Astrophysics Data System (ADS)

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)

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

2014-08-01

197

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

ERIC Educational Resources Information Center

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…

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

2001-01-01

198

The role of organizational knowledge management in successful ERP implementation projects  

Microsoft Academic Search

Special attention to critical success factors in the implementation of Enterprise Resource Planning systems is evident from the bulk of literature on this issue. In order to implement these systems that are aimed at improving the sharing of enterprise-wide information and knowledge, organizations must have the capa- bility of effective knowledge sharing to start with. Based on a review of

Ramin Vandaie

2008-01-01

199

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

ERIC Educational Resources Information Center

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…

Mayuzumi, Kimine

2009-01-01

200

Knowledge management - necessity and challenge in small and medium enterprises  

Microsoft Academic Search

Research on collection, acquisition, multiplication, keeping and dissemination of organizational knowledge is highly supported through private incentives, government institutions and international projects. Many of those projects resulted in numerous applications: knowledge management portals, intensifying communications, knowledge management communities, centers of excellence and new tools and models of knowledge management. Although open in general to all who have new ideas and

Josip MesariC

2004-01-01

201

A conceptual model to facilitate knowledge sharing in multi­agent systems  

Microsoft Academic Search

This paper presents and motivates an extended ontology knowledge model which represents semantic information about concepts explicitly. This knowledge model results from en- riching the standard conceptual model with semantic infor- mation which precisely characterises the concept's proper- ties and expected ambiguities, including which properties are prototypical of a concept and which are exceptional, the behaviour of properties over time

Valentina Tamma; Trevor Bench

2001-01-01

202

MindPixel: Digital Mind Modeling Project  

NSDL National Science Digital Library

Digital Mind Modeling Project by MindPixel invites Web users to contribute to the creation of the first statistical model of human thought. The Canadian scientist, Chris McKinstry, who founded the project "hopes to be able to teach a computer what it means to be human" by using an approach similar to seti@home "to extract the entire content of an average person's mind bit by literal bit from millions of different internet users." After about 10 years running, the final collection will be available for other artificial intelligence researchers. For now, visitors can register using an online form to access the Mindpixel News System, which offers the latest news pertaining to the mind and mind-related science. Internet users can also register and make their contribution to science by talking to the online system, which the author calls GAC, pronounced "Jack." Contributors earn voting rights "that will give them a say in every aspect of how the project is run, from data collection and use to the distribution of data and research funds."

203

The Chancellor's Model School Project (CMSP)  

NASA Technical Reports Server (NTRS)

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 school which as a consequence lessened the focus and structure available to the 7-8th grade students and teachers -- as compared to Phase I. Nevertheless, the CMSP does represent a unique curriculum model for 7th and 8th grade students in urban middle schools. Experience in both Phase I and Phase II of the project allowed the CMSP to be developed and tested along the broad range of parameters and characteristics that embody an operating public school in an urban environment.

Lopez, Gil

1999-01-01

204

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

ERIC Educational Resources Information Center

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,…

Angelo, Raymond

2011-01-01

205

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)

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.

Golich, Vicki L.; Pinelli, Thomas

1998-01-01

206

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

NASA Astrophysics Data System (ADS)

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 needed to identify the best types of scaffolds and overall technological improvements in order to provide support for online collaboration and knowledge construction.

Lonn, Steven D.

207

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

NASA Astrophysics Data System (ADS)

The large scale research program Topo-Iberia aims to unravel the complex structure and mantle processes in the area of interaction between the African and European continental plates in the western Mediterranean. The project, funded by the Spanish Ministry of Science and Education, started in 2007 and will be active till Fall 2013. Topo-Iberia has gathered expertise of different fields of the Earth Sciences. One of the key assets of the project involves the deploying of a technological observatory platform, IberArray, with unprecedented resolution and coverage. This platform is currently building up a comprehensive, multidisciplinary data set, stored by the SIGEOF database, which includes seismological, GPS and magnetotelluric data. Using also other analytical methodologies included in the Topo-Iberia program (potential fields, quantitative analysis of the topography, dating methods) the final scope of the project is to study the relationship between superficial and deep-rooted processes. Topo-Iberia has also benefited from the interaction with other projects investigating the same area, as the American program PICASSO, the French Pyrope or the Portuguese WILAS. This interaction includes sharing the available data to better assess the key geological questions. This contribution will present the current state of the most significant scientific results which are arising from the data acquired using the Iberarray platform. -. SKS splitting analysis has provided a spectacular image of the anisotropic pattern over the area, including a clear rotation of the fast velocity direction along the Gibraltar Arc. -. Receiver functions have revealed the crustal thickness variations beneath the Rif and southern Iberia, including a crustal root beneath the Rif not clearly documented previously. The 410-km and 660-km upper mantle discontinuities have been investigated using novel cross-correlation/stacking techniques. -. Surface wave tomography using both earthquakes and ambient 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.

Diaz Cusi, J.

2012-12-01

208

Project Title Improved Emission Models for Project Evaluation (MOVES-Matrix) University Georgia Institute of Technology  

E-print Network

Project Title Improved Emission Models for Project Evaluation (MOVES-Matrix) University Georgia or organization) DOT - $92,292.15 Total Project Cost $92,292.15 Agency ID or Contract Number DTRT13-G-UTC29 Start and End Dates November 2013 - June 2015 Brief Description of Research Project Local governments are using

California at Davis, University of

209

Building information models for astronomy projects  

NASA Astrophysics Data System (ADS)

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.

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

2012-09-01

210

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

PubMed Central

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

Elwyn, Glyn; Taubert, Mark; Kowalczuk, Jenny

2007-01-01

211

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

NASA Astrophysics Data System (ADS)

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 predictive insights based on a combination of hypothesis-guided data analysis and relatively hypothesis-free but data-guided discovery processes. The analysis and discovery approaches need to be cognizant of climate data characteristics like nonlinear processes, low-frequency variability, long-range spatial dependence and long-memory temporal processes; the value of physically-motivated conceptual understanding and functional associations; as well as possible thresholds and tipping points in the impacted natural, engineered or human systems. Case studies focusing on new methodologies as well as novel climate insights are discussed with a focus on stakeholder requirements.

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

2009-12-01

212

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)

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).

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

1995-01-01

213

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)

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.

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

1995-01-01

214

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)

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.

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

1994-01-01

215

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)

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).

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

1994-01-01

216

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)

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.

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

1994-01-01

217

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)

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.

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

1994-01-01

218

Knowledge model-based heterogeneous multi-robot system implemented by a software platform  

Microsoft Academic Search

In order to build a heterogeneous multi-robot system that can be regarded as a primitive prototype of a future symbiotic autonomous human-robot system, this paper presents a knowledge model-based heterogeneous multi-robot system implemented by a software platform. With using frame-based knowledge representation, a knowledge model is constructed to describe the features of heterogeneous robots as well as their behaviors according

Tao Zhang; Haruki Ueno

2007-01-01

219

Construction of heterogeneous multi-robot system based on knowledge model  

Microsoft Academic Search

This paper proposed a knowledge model-based method to construct a heterogeneous multi-robot system that can be regarded as a primitive prototype of a future symbiotic autonomous human-robot system. In this method, with using frame-based knowledge model, the features of heterogeneous robots as well as their behaviors according to human requests are described. The required knowledge for heterogeneous multi-robot system can

T. Zhang; V. Ampornaramveth; H. Ueno

2005-01-01

220

Accelerating cross-project knowledge collaboration using collaborative filtering and social networks  

Microsoft Academic Search

Vast numbers of free\\/open source software (F\\/OSS) development projects use hosting sites such as Java.net and Source-Forge.net. These sites provide each project with a variety of software repositories (e.g. repositories for source code sharing, bug tracking, discussions, etc.) as a media for communication and collaboration. They tend to focus on supporting rich collaboration among members in each project. However, a

Masao Ohira; Naoki Ohsugi; Tetsuya Ohoka; Ken-ichi Matsumoto

2005-01-01

221

The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework  

PubMed Central

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. PMID:24344316

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

2014-01-01

222

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

PubMed

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. PMID:24344316

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

2014-03-01

223

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

ERIC Educational Resources Information Center

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…

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

2015-01-01

224

Requirements Elicitation and Elicitation Technique Selection: A Model for Two Knowledge-Intensive Software Development Processes  

Microsoft Academic Search

By its very nature, software development consists of many knowledge-intensive processes. One of the most difficult to model, however, is requirements elicitation. This paper presents a mathematical model of the requirements elicitation process that clearly shows the critical role of knowledge in its performance. One meta- process of requirements elicitation, selection of an appropriate elicitation technique, is also captured in

Ann M. Hickey; Alan M. Davis

2003-01-01

225

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

ERIC Educational Resources Information Center

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…

Persson, Roland S.

2010-01-01

226

An Intelligent Interactive Knowledge Model for Decision Support in Real-Time Traffic Management  

Microsoft Academic Search

This paper proposes the use of advanced knowledge models to support real time decision for management problems as an adequate response to the current needs and technology. The new conditions for human operation created by the telematics technology are discussed and a general architecture using knowledge modelling techniques is proposed. Then, the application of the approach to support real time

Josefa Z. Hernández; Juan Manuel Serrano

2000-01-01

227

The Lunar Mapping and Modeling Project  

NASA Technical Reports Server (NTRS)

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.

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

2009-01-01

228

Improved geometrical model of fringe projection profilometry.  

PubMed

The accuracy performance of fringe projection profilometry (FPP) depends on accurate phase-to-height (PTH) mapping and system calibration. The existing PTH mapping is derived based on the condition that the plane formed by axes of camera and projector is perpendicular to the reference plane, and measurement error occurs when the condition is not met. In this paper, a new geometric model for FPP is presented to lift the condition, resulting in a new PTH mapping relationship. The new model involves seven parameters, and a new system calibration method is proposed to determine their values. Experiments are conducted to verify the performance of the proposed technique, showing a noticeable improvement in the accuracy of 3D shape measurement. PMID:25607188

Huang, Zhengrong; Xi, Jiangtao; Yu, Yanguang; Guo, Qinghua; Song, Limei

2014-12-29

229

Building integral projection models: a user's guide  

PubMed Central

In order to understand how changes in individual performance (growth, survival or reproduction) influence population dynamics and evolution, ecologists are increasingly using parameterized mathematical models. For continuously structured populations, where some continuous measure of individual state influences growth, survival or reproduction, integral projection models (IPMs) are commonly used. We provide a detailed description of the steps involved in constructing an IPM, explaining how to: (i) translate your study system into an IPM; (ii) implement your IPM; and (iii) diagnose potential problems with your IPM. We emphasize how the study organism's life cycle, and the timing of censuses, together determine the structure of the IPM kernel and important aspects of the statistical analysis used to parameterize an IPM using data on marked individuals. An IPM based on population studies of Soay sheep is used to illustrate the complete process of constructing, implementing and evaluating an IPM fitted to sample data. We then look at very general approaches to parameterizing an IPM, using a wide range of statistical techniques (e.g. maximum likelihood methods, generalized additive models, nonparametric kernel density estimators). Methods for selecting models for parameterizing IPMs are briefly discussed. We conclude with key recommendations and a brief overview of applications that extend the basic model. The online Supporting Information provides commented R code for all our analyses. PMID:24219157

Rees, Mark; Childs, Dylan Z; Ellner, Stephen P; Coulson, Tim

2014-01-01

230

Knowledge Modeling for Adaptive Content Selection in Educational Hypermedia Systems  

Microsoft Academic Search

Adaptive content selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems. In this paper, we address the adaptive content selection problem in educational hypermedia systems proposing a concrete methodology for capturing expert's knowledge on selection of learning content following the philosophy and principles of techniques derived from computational intelligence. The result is

Pythagoras Karampiperis; Demetrios Sampson

2004-01-01

231

A community and knowledge building model in computer education  

Microsoft Academic Search

Computer Supported Collaborative Work (CSCW) is a new information technology subject at Charles Sturt University, that develops a learning community and knowledge sharing network for a diverse range of students. By integrating course content about CSCW, students use information environments and groupware products such as e-mail, the Z Object Publishing Environment (ZOPE) and MOO to create learning artefacts. The subject

Ken Eustace; Lyn Hay

2000-01-01

232

A Model of Equitable and Sustainable Redistribution of Knowledge  

ERIC Educational Resources Information Center

Education is one of the pillars in which a Welfare State is effectively based on in order to achieve an equitable distribution of wealth. In contemporary society, knowledge and education are among the most appreciated goods, and everyone should have the right to acquire them, without distinction of gender, race, age, health or religion. From our…

Garcia, Ana Maria Delgado; Cuello, Rafael Oliver

2010-01-01

233

Construction of dynamic stochastic simulation models using knowledge-based techniques  

NASA Technical Reports Server (NTRS)

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).

Williams, M. Douglas; Shiva, Sajjan G.

1990-01-01

234

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

ERIC Educational Resources Information Center

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 Kawagley)…

Settee, Priscilla

235

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

ERIC Educational Resources Information Center

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…

Griffin, John B., Jr.

1983-01-01

236

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

ERIC Educational Resources Information Center

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.…

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

237

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

ERIC Educational Resources Information Center

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 and extending risk…

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

2010-01-01

238

Pataha Creek Model Watershed : 1998 Habitat Conservation Projects.  

SciTech Connect

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.

Bartels, Duane G.

1999-12-01

239

Performance evaluation model for project managers using managerial practices  

Microsoft Academic Search

There are many studies address the issues of finding the critical success factors of projects. In this study, we focus on the performance of the people who manage projects. A performance evaluation model for project managers is constructed on the basis of managerial practices. This model incorporates leadership behaviors that lead to managerial practices with some essential factors that may

Sheu Hua Chen; Hong Tau Lee

2007-01-01

240

Modelling in Evaluating a Working Life Project in Higher Education  

ERIC Educational Resources Information Center

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…

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

2012-01-01

241

Improving student’s knowledge on the Digital Divide: The GlobalEd Project  

Microsoft Academic Search

Abstract The GlobalEd Project is web-based research project applying problem-based,learning with students involved in performing as groups of representatives for specific countries and negotiating treaties. Themes such as human rights, internationaleconomics and world health are discussed. During the winter 2002\\/03 simulation held with middle school students, they discussed the topic “The Global Digital Divide” under the international economics,issue. The purpose,of

Clarisse O. Lima; Paula R. Johnson; Scott W. Brown; Mark Boyer; Michael Butler; Natalie Florea; Jason Rich

242

Knowledge fusion: An approach to time series model selection followed by pattern recognition  

SciTech Connect

This report describes work done during FY 95 that was sponsored by the Department of Energy, Office of Nonproliferation and National Security, Knowledge Fusion Project. The project team selected satellite sensor data to use as the one main example for the application of its analysis algorithms. The specific sensor-fusion problem has many generic features, which make it a worthwhile problem to attempt to solve in a general way. The generic problem is to recognize events of interest from multiple time series that define a possibly noisy background. By implementing a suite of time series modeling and forecasting methods and using well-chosen alarm criteria, we reduce the number of false alarms. We then further reduce the number of false alarms by analyzing all suspicious sections of data, as judged by the alarm criteria, with pattern recognition methods. An accompanying report (Ref 1) describes the implementation and application of this 2-step process for separating events from unusual background and applies a suite of forecasting methods followed by a suite of pattern recognition methods. This report goes into more detail about one of the forecasting methods and one of the pattern recognition methods and is applied to the same kind of satellite-sensor data that is described in Ref. 1.

Bleasdale, S.A.; Burr, T.L.; Scovel, J.C.; Strittmatter, R.B.

1996-03-01

243

A knowledge based model of electric utility operations. Final report  

SciTech Connect

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.

NONE

1993-08-11

244

The Digital Astronaut Project Bone Remodeling Model  

NASA Technical Reports Server (NTRS)

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.

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

2014-01-01

245

Metal Mixtures Modeling Evaluation project: 1. Background.  

PubMed

Despite more than 5 decades of aquatic toxicity tests conducted with metal mixtures, there is still a need to understand how metals interact in mixtures and to predict their toxicity more accurately than what is currently done. The present study provides a background for understanding the terminology, regulatory framework, qualitative and quantitative concepts, experimental approaches, and visualization and data-analysis methods for chemical mixtures, with an emphasis on bioavailability and metal-metal interactions in mixtures of waterborne metals. In addition, a Monte Carlo-type randomization statistical approach to test for nonadditive toxicity is presented, and an example with a binary-metal toxicity data set demonstrates the challenge involved in inferring statistically significant nonadditive toxicity. This background sets the stage for the toxicity results, data analyses, and bioavailability models related to metal mixtures that are described in the remaining articles in this special section from the Metal Mixture Modeling Evaluation project and workshop. It is concluded that although qualitative terminology such as additive and nonadditive toxicity can be useful to convey general concepts, failure to expand beyond that limited perspective could impede progress in understanding and predicting metal mixture toxicity. Instead of focusing on whether a given metal mixture causes additive or nonadditive toxicity, effort should be directed to develop models that can accurately predict the toxicity of metal mixtures. Environ Toxicol Chem 2015;34:726-740. © 2014 SETAC. PMID:25353683

Meyer, Joseph S; Farley, Kevin J; Garman, Emily R

2015-04-01

246

Automated knowledge-based fuzzy models generation for weaning of patients receiving ventricular assist device (VAD) therapy.  

PubMed

The SensorART project focus on the management of heart failure (HF) patients which are treated with implantable ventricular assist devices (VADs). This work presents the way that crisp models are transformed into fuzzy in the weaning module, which is one of the core modules of the specialist's decision support system (DSS) in SensorART. The weaning module is a DSS that supports the medical expert on the weaning and remove VAD from the patient decision. Weaning module has been developed following a "mixture of experts" philosophy, with the experts being fuzzy knowledge-based models, automatically generated from initial crisp knowledge-based set of rules and criteria for weaning. PMID:23366361

Tsipouras, Markos G; Karvounis, Evaggelos C; Tzallas, Alexandros T; Goletsis, Yorgos; Fotiadis, Dimitrios I; Adamopoulos, Stamatis; Trivella, Maria G

2012-01-01

247

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

NASA Technical Reports Server (NTRS)

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.'

Post, Todd (Editor)

2001-01-01

248

Knowledge Acquisition, Knowledge Programming, and Knowledge Refinement.  

ERIC Educational Resources Information Center

This report describes the principal findings and recommendations of a 2-year Rand research project on machine-aided knowledge acquisition and discusses the transfer of expertise from humans to machines, as well as the functions of planning, debugging, knowledge refinement, and autonomous machine learning. The relative advantages of humans and…

Hayes-Roth, Frederick; And Others

249

Models for Predicting Project Performance in China Using Project Management Practices Adopted by Foreign AEC Firms  

Microsoft Academic Search

China is a new market to many international architectural, engineering, and construction AEC firms and it is not known what would be the likely project outcomes, based on different project management PM practices adopted. This research developed and tested five models to predict the likely project success levels, based on PM practices adopted by foreign AEC firms in China. Based

Florence Yean; Yng Ling; Sui Pheng Low; ShouQing Wang

2008-01-01

250

Uncertainty in emissions projections for climate models  

E-print Network

Future global climate projections are subject to large uncertainties. Major sources of this uncertainty are projections of anthropogenic emissions. We evaluate the uncertainty in future anthropogenic emissions using a ...

Webster, Mort David.; Babiker, Mustafa H.M.; Mayer, Monika.; Reilly, John M.; Harnisch, Jochen.; Hyman, Robert C.; Sarofim, Marcus C.; Wang, Chien.

251

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

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…

Grobmeier, Cynthia

2007-01-01

252

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)

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.

Fegerl, Michael; Wieden, Wilfried

2013-04-01

253

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

ERIC Educational Resources Information Center

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)

Alexander, Patricia A.; And Others

1995-01-01

254

A Conceptual Model for Teaching Critical Thinking in a Knowledge Economy  

ERIC Educational Resources Information Center

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…

Chadwick, Clifton

2011-01-01

255

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

ERIC Educational Resources Information Center

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…

Leask, Marilyn; Younie, Sarah

2013-01-01

256

A knowledge-based approach to spacecraft distributed modeling and simulation  

Microsoft Academic Search

The Johns Hopkins University Applied Physics Laboratory is developing a knowledge-based approach to spacecraft distributed modeling and simulation and to sustaining design knowledge. We define an object-oriented decomposition of a virtual spacecraft into both functional and physical classes, and standardize the class methods. Simulations of spacecraft components inherit from the classes and implement the standard methods as well as their

A Goldfinger; D Silberberg; J Gersh; J Hunt; F Weiskopf; T Spisz; Z. G Mou; G Rogers; R Semmel

2000-01-01

257

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

ERIC Educational Resources Information Center

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…

Ghassib, Hisham B.

2010-01-01

258

Collaborative Knowledge Production in China: Regional Evidence from a Gravity Model Approach  

Microsoft Academic Search

Scherngell T. and Hu Y. Collaborative knowledge production in China: regional evidence from a gravity model approach, Regional Studies. This study investigates collaborative knowledge production in China from a regional perspective. The objective is to illustrate spatial patterns of research collaborations between thirty-one Chinese regions, and to estimate the impact of geographical, technological, and economic factors on the variation of

Thomas Scherngell; Yuanjia Hu

2011-01-01

259

The Lunar Mapping and Modeling Project  

NASA Astrophysics Data System (ADS)

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 commercial community, the lunar education and public outreach (E/PO) community, and anyone else interested in accessing or utilizing lunar data. A beta version of the portal and visualization systems is expected to be released in late 2009, with a version 1 release planned for early 2011.

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

2009-12-01

260

Modeling new coal projects: supercritical or subcritical?  

SciTech Connect

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.

Carrino, A.J.; Jones, R.B. [Solomon Associates, Dallas, TX (United States)

2006-11-15

261

The GENIA project: corpus-based knowledge acquisition and information extraction from genome research papers  

Microsoft Academic Search

We present an outline of the genome information acquisition (GENIA) project for automatically extracting biochemical information from journal papers and abstracts. GENIA will be available over the Internet and is designed to aid in information extraction, retrieval and visualisation and to help reduce information overload on researchers. The vast repository of papers available online in databases such as MEDLINE is

Nigel Collier; Hyun Seok Park; Norihiro Ogata; Yuka Tateishi; Chikashi Nobata; Tomoko Ohta; Tateshi Sekimizu; Hisao Imai; Katsutoshi Ibushi; Jun-ichi Tsujii

1999-01-01

262

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

ERIC Educational Resources Information Center

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…

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

2012-01-01

263

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

ERIC Educational Resources Information Center

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…

Colley, Kabba E.

2006-01-01

264

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

ERIC Educational Resources Information Center

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…

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

2011-01-01

265

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

PubMed

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. (PsycINFO Database Record (c) 2015 APA, all rights reserved). PMID:25643223

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

2015-03-01

266

Sharing knowledge to advance healthcare policies in Europe for people living with dementia and their carers: the ALCOVE project  

PubMed Central

Background Alzheimer’s disease and other related dementias are public health priorities in the European Union due to their prevalence, cost and profound impact on society. Because of these pressing implications, the European Union decided to create a Joint Action to share knowledge about dementia and health policy in order to preserve the health, quality of life, autonomy and dignity of people living with dementia and their carers in Europe. Methods ALCOVE is a European Community-funded Joint Action coordinated by the HAS (French National Authority for Health) with a 24-month duration. The project’s life cycle has been divided into the following four steps: (1) collection of existing information, (2) analysis of existing information and making comparisons across Member States, (3) identifying Evidence, Needs, and Priorities, (4) drafting recommendations and disseminating them. Results 19 countries are participating in the ALCOVE initiative. The project will publish its final findings in 2013. The project’s objectives, participants, method, on-going procedures and work plans are already available on the ALCOVE website: http://www.alcove-project.eu/. Preliminary results show that recommendations will need to focus on clinical and epidemiological data collection, diagnostic system assessment, outstanding approaches for treating behavioural disorders, limiting antipsychotic use, and competence assessment in this vulnerable population. Conclusions The European Member States involved are mobilized to share best health policy practices in order to tackle the challenge of dementia’s threat on European health and social systems and to improve the quality of life and care for individuals and their family carers. PMID:22958544

2012-01-01

267

Modelling in Cross-Disciplinary Authentic Student Research Projects  

ERIC Educational Resources Information Center

In the Dutch secondary education system, students must carry out at the end of their school career a research or design project to demonstrate their ability to apply acquired knowledge and skills while pursuing a rather large research question or design goal in some depth. They are encouraged to choose the topic themselves and they are to some…

Heck, Andre

2010-01-01

268

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)

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.

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

1992-01-01

269

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)

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.

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

1992-01-01

270

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

PubMed

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

Warsame, Abukar; Borg, Lena; Lind, Hans

2013-01-01

271

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

PubMed Central

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

Warsame, Abukar; Borg, Lena; Lind, Hans

2013-01-01

272

CERFACS: Scientific Report ``Climate Modelling & Global Change'' Project  

E-print Network

CERFACS: Scientific Report ``Climate Modelling & Global Change'' Project 1991 ­ 1992 November 1992 #12; 1 INTRODUCTION (O. Thual) The goals of the Climate Modelling & Global Change project is to produce high level research contributions to the modelling of the earth climate and the global change

273

A Knowledge-Based Representation Scheme for Environmental Science Models  

NASA Technical Reports Server (NTRS)

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.

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

1994-01-01

274

A model for structured data entry based on explicit descriptional knowledge.  

PubMed

Clinical narratives in patient records are usually recorded in free text, limiting the use of this information for research, quality assessment, and decision support. This study focuses on the capture of clinical narratives in a structured format by supporting physicans with structured data entry (SDE). We analyzed and made explicit which requirements SDE should meet to be acceptable for the physician on the one hand, and generate unambiguous patient data on the other. Starting from these requirements, we found that in order to support SDE, the knowledge on which it is based needs to be made explicit: we refer to this knowledge as descriptional knowledge. We articulate the nature of this knowledge, and propose a model in which it can be formally represented. The model allows the construction of specific knowledge bases, each representing the knowledge needed to support SDE within a circumscribed domain. Data entry is made possible through a general entry program, of which the behavior is determined by a combination of user input and the content of the applicable domain knowledge base. We clarify how descriptional knowledge is represented, modeled, and used for data entry to achieve SDE, which meets the proposed requirements. PMID:7869942

Moorman, P W; van Ginneken, A M; van der Lei, J; van Bemmel, J H

1994-12-01

275

A Remote Control Project to Enhance Undergraduate Students' Interest and Knowledge in Industrial Automation  

Microsoft Academic Search

The objective of this project is to develop and establish a user-friendly online operation of a remotely controlled Programmable Logic Controller (PLC) unit, utilizing the Internet and the World Wide Web. This effort provides students with valuable hands-on experience in computer-assisted control systems. Also, based on this concept, courses with lab modules within many disciplines of engineering and technology can

Akbar Eslami; Aliza Williams; Loella Lapat; Kerry Krauss; Ali R. Osareh

276

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

PubMed

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. PMID:25201552

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

2015-01-01

277

A Model for Student Learning in Knowledge Translation and Transfer in Ontario  

E-print Network

The purpose of this study was to create a model for student learning in knowledge translation and transfer in Ontario. The study was informed by two focus groups, each associated with a student research communications skill development program...

Roberts, Owen A.

2011-10-21

278

Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval  

NASA Astrophysics Data System (ADS)

Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguistic variable ontologies, considering semantic relationships of concepts, including set relation, order relation, equivalence relation and semantic association relation etc. The process to construct linguistic variables ontology is discussed. Using ontology and RDFS, the knowledge model for product information is created. To achieve semantic retrieval, the semantic query expansion in SeRQL is constructed by semantic relations between fuzzy concepts. The application shows that these models can overcome the localization of other fuzzy ontology models, and this research facilitates the fuzzy knowledge sharing and semantic retrieval on the Semantic Web.

Zhai, Jun; Liang, Yiduo; Jiang, Jiatao; Yu, Yi

279

A Probability Model for Projective Clustering on High Dimensional Data  

Microsoft Academic Search

Clustering high dimensional data is a big challenge in data mining due to the curse of dimensionality. To solve this problem, projective clustering has been defined as an extension of traditional clustering that seeks to find projected clusters in subsets of dimensions of a data space. In this paper, the problem of modeling projected clusters is first discussed, and an

Lifei Chen; Qingshan Jiang; Shengrui Wang

2008-01-01

280

A Fully Projective Error Model for Visual Reconstruction Bill Triggs  

E-print Network

for practical calculations. The notion that projective geometry should be `simpler' than affine geometryA Fully Projective Error Model for Visual Reconstruction Bill Triggs LIFIA, INRIA Rh^one-Alpes, 46 projective processes that do not quite fit into the classical frame- work of affine least squares, so

Paris-Sud XI, Université de

281

Community Knowledge, Attitudes and Practices on Schistosomiasis in Western Kenya-The SCORE Project  

PubMed Central

In an effort to improve intervention strategies, community knowledge, attitudes, and practices on schistosomiasis were evaluated using focus group discussions involving 237 participants, in eight Schistosoma mansoni high prevalence districts in rural Nyanza Province, Kenya. The majority of participants reported having heard about schistosomiasis through schools, posters, radio announcements, and community gatherings. Participants had a variety of beliefs about contracting schistosomiasis, including associating it with dirty drinking water and uncooked or contaminated food. Avenues for seeking treatment included health centers, spiritual intervention, herbal treatments, and medicine shops, with health centers receiving the most mention. Barriers to schistosomiasis control included attitudes of community members toward the infection, especially misconceptions that lead to stigma and the perception that diagnosis and treatment are expensive. Schools were the most common avenue for receiving information, suggesting that the existing education infrastructure can be used for health education and improved sensitization about schistosomiasis control programs. PMID:24534810

Musuva, Rosemary M.; Awiti, Alphonce; Omedo, Martin; Ogutu, Michael; Secor, W. Evan; Montgomery, Susan P.; Alaii, Jane; Mwinzi, Pauline N. M.

2014-01-01

282

Projection methods for reduced order models of compressible flows  

Microsoft Academic Search

Two different projection methods, Galerkin projection and direct projection, are developed for reduced-order modeling applications. The projection methods are used to identify low-dimensional systems of ordinary differential equations to represent the dynamics of a compressible, two-dimensional, inviscid flow-field under oscillatory forcing. Proper orthogonal decomposition is used to identify a small number of fluid modes to serve as the basis functions

David J. Lucia; Philip S. Beran

2003-01-01

283

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

NASA Astrophysics Data System (ADS)

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 answering questions on scientific and pedagogical aspects of data use. The MY NASA DATA website, and an initial collection of lesson plans, have passed the NASA Earth Science Education peer review process, and thus are also being cataloged in the Digital Library for Earth System Education (DLESE).

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

2006-05-01

284

Comparing three methods for modeling the uncertainty in knowledge discovery from area-class soil maps  

NASA Astrophysics Data System (ADS)

Knowledge discovery has been demonstrated as an effective approach to extracting knowledge from existing data sources for soil classification and mapping. Soils are spatial entities with fuzzy boundaries. Our study focuses on the uncertainty associated with class assignments when classifying such entities. We first present a framework of knowledge representation for categorizing spatial entities with fuzzy boundaries. Three knowledge discovery methods are discussed next for extracting knowledge from data sources. The methods were designed to maintain information for modeling the uncertainties associated with class assignments when using the extracted knowledge for classification. In a case study of knowledge discovery from an area-class soil map, all three methods were able to extract knowledge embedded in the map to classify soils at accuracies comparable to that of the original map. The methods were also able to capture membership gradations and helped to identify transitional zones and areas of potential problems on the source map when measures of uncertainties were mapped. Among the three methods compared, a fuzzy decision tree approach demonstrated the best performance in modeling the transitions between soil prototypes.

Qi, Feng; Zhu, A.-Xing

2011-09-01

285

Modeling the Influence of Proximity, Relationships and Communication on Knowledge Transfer Efficiency in Business-to-Business Networks  

Microsoft Academic Search

The conceptual model presented in this paper was developed through a multi-disciplinary approach, leveraging the interpersonal relationship, communication, knowledge, and network streams of research. The model centralises proximity, interpersonal relationships and their communication patterns as key determinants of knowledge transfer efficiency, most especially, the efficient transfer of tacit knowledge. The purpose of this paper is to present the model and,

Mary T. Holden; Patrick Lynch; Thomas O'Toole

286

A Knowledge Discovery from POS Data using State Space Models  

NASA Astrophysics Data System (ADS)

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.

Sato, Tadahiko; Higuchi, Tomoyuki

287

A Four-Layer Model for IT Support of Knowledge Management Matteo Bonifacio, Thomas Franz, Steffen Staab  

E-print Network

. Intriguingly though, IT support for knowledge management has hardly kept pace with the richness of knowledgeA Four-Layer Model for IT Support of Knowledge Management Matteo Bonifacio, Thomas Franz, Steffen Staab Abstract: Strategies for knowledge management as well as strategies for IT- systems supporting

Staab, Steffen

288

A multi-agent knowledge model for SMEs mechatronic supply chains  

E-print Network

1 A multi-agent knowledge model for SMEs mechatronic supply chains Jihene Tounsi University) in the particular context of small and medium enterprises (SMEs) in the field of mechatronic. The study is based into the model. This framework is the ArchMDE process, which is based on MDE (Model Driven Engineering). A major

Boyer, Edmond

289

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

ERIC Educational Resources Information Center

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…

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

2011-01-01

290

A Living-Systems Design Model for Web-based Knowledge Management Systems.  

ERIC Educational Resources Information Center

Reviews currently available instructional systems design models and describes a new design model for Web-based knowledge management (KM) systems, based on a living-systems approach, and the mechanisms it contains for accommodating change and growth. Illustrates the application of the phases of the model in the development of a KM system with…

Plass, Jan L.; Salisbury, Mark W.

2002-01-01

291

A design tool for reusing integration knowledge in simulation models  

E-print Network

In the academic field of computer-aided product development, the role of the design tool is to support engineering designers to develop and integrate simulation models. Used to save time and costs in product development ...

Han, Sangmok

2006-01-01

292

Respiratory Motion Estimation from Cone-Beam Projections Using a Prior Model  

Microsoft Academic Search

Respiratory motion introduces uncertainties when planning and delivering radiotherapy for lung cancer patients. Cone-beam\\u000a projections acquired in the treatment room could provide valuable information for building motion models, useful for gated\\u000a treatment delivery or motion compensated reconstruction. We propose a method for estimating 3D+T respiratory motion from the\\u000a 2D+T cone-beam projection sequence by including prior knowledge about the patient’s breathing motion.

Jef Vandemeulebroucke; Jan Kybic; Patrick Clarysse; David Sarrut

2009-01-01

293

Fraser River Model Project Compiled by Erwin Wodarczak (1998)  

E-print Network

Fraser River Model Project fonds Compiled by Erwin Wodarczak (1998) Last revised November 2010 of the model in 1953. Located on a three-acre site on the western edge of the Point Grey campus, the project). Ottawa, July 28, 1949. 002 Fraser River flood flow forecasting / J.F. Main. (University of B

Handy, Todd C.

294

Improving Climate Projections Through the Assessment of Model Uncertainty and Bias in the Global Water Cycle  

NASA Astrophysics Data System (ADS)

The implications of a changing climate have a profound impact on human life, society, and policy making. The need for accurate climate prediction becomes increasingly important as we better understand these implications. Currently, the most widely used climate prediction relies on the synthesis of climate model simulations organized by the Coupled Model Intercomparison Project (CMIP); these simulations are ensemble-averaged to construct projections for the 21st century climate. However, a significant degree of bias and variability in the model simulations for the 20th century climate is well-known at both global and regional scales. Based on that insight, this study provides an alternative approach for constructing climate projections that incorporates knowledge of model bias. This approach is demonstrated to be a viable alternative which can be easily implemented by water resource managers for potentially more accurate projections. Tests of the new approach are provided on a global scale with an emphasis on semiarid regional studies for their particular vulnerability to water resource changes, using both the former CMIP Phase 3 (CMIP3) and current Phase 5 (CMIP5) model archives. This investigation is accompanied by a detailed analysis of the dynamical processes and water budget to understand the behaviors and sources of model biases. Sensitivity studies of selected CMIP5 models are also performed with an atmospheric component model by testing the relationship between climate change forcings and model simulated response. The information derived from each study is used to determine the progressive quality of coupled climate models in simulating the global water cycle by rigorously investigating sources of model bias related to the moisture budget. As such, the conclusions of this project are highly relevant to model development and potentially may be used to further improve climate projections.

Baker, Noel C.

295

NASA/DoD Aerospace Knowledge Diffusion Research Project. Paper 31: The information-seeking behavior of engineers  

NASA Technical Reports Server (NTRS)

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.

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

1993-01-01

296

A project-centered undergraduate geoscience curriculum model  

NASA Astrophysics Data System (ADS)

Lake Superior State University, a comprehensive rural public university with approximately 10% Native-Americans enrolled, located in Michigan's eastern Upper Peninsula, U.S.A., has redesigned it's undergraduate geology major by developing an entire curriculum around a project-centered integration of geoscience sub-disciplines. Our model, adapted from modern educational theory, advocates sub-discipline integration by implementing problem-based learning through coursework that develops students' intellectual skills and engages them in using complex reasoning in real-world contexts. Students in this new curriculum will actively discover how to learn about a new geologic province, what questions to ask in approaching problems, where and how to find answers, and how to apply knowledge to solving problems. To accomplish our goals, we redesigned our pedagogy for all courses by creating active learning environments including cooperative learning, jigsaw methodologies, debates, investigation oriented laboratories, use of case studies, writing and communication intensive exercises, and research experiences. Fundamental sub-discipline concepts were identified by our national survey and are presented in the context of sequentially ordered problems that reflect increasing geological complexity. All courses above first year incorporate significant field experience. Our lower division courses include a two semester sequence of physical and historical geology in which physical processes are discussed in the context of their historical extension and one semester of structure/tectonics and mineralogy/petrology. The lower division culminates with a three week introductory field geology course. Our upper division courses include hydrologic systems, environmental systems, geochemical systems, tectonic systems, geophysical systems, clastic systems, carbonate systems, two seminar courses, and advanced field geology. The two field courses, offered in different geologic provinces, provide the opportunity for students to gather the field data that are an integral part of upper division course projects. These courses require an in-depth understanding of geologic principles and promote sophisticated integration and application of sub-disciplinary concepts.

Kelso, P.; Brown, L.

2003-04-01

297

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

NASA Technical Reports Server (NTRS)

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.

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

1991-01-01

298

Participation in a Multi-institutional Curriculum Development Project Changed Science Faculty Knowledge and Beliefs About Teaching Science  

NASA Astrophysics Data System (ADS)

Despite significant pressure to reform science teaching and learning in K12 schools, and a concurrent call to reform undergraduate courses, higher education science content courses have remained relatively static. Higher education science faculty have few opportunities to explore research on how people learn, examine state or national science teaching standards for K12 schools, or learn and practice research-based instructional strategies. The contrast between what is expected of future and practicing teachers in their K12 classrooms and what they experience in content and instruction in typical college or university science courses can be striking. This paper describes a multi-institutional collaboration among content-area science faculty and K12 teachers to develop undergraduate content courses for future elementary teachers in life and Earth science. Using data from the project evaluation, we report evidence of change in faculty knowledge and beliefs about science teaching and learning, and how that this translated into pedagogical practice in their courses.

Donovan, Deborah A.; Borda, Emily J.; Hanley, Daniel M.; Landel, Carolyn C.

2015-02-01

299

Participation in a Multi-institutional Curriculum Development Project Changed Science Faculty Knowledge and Beliefs About Teaching Science  

NASA Astrophysics Data System (ADS)

Despite significant pressure to reform science teaching and learning in K12 schools, and a concurrent call to reform undergraduate courses, higher education science content courses have remained relatively static. Higher education science faculty have few opportunities to explore research on how people learn, examine state or national science teaching standards for K12 schools, or learn and practice research-based instructional strategies. The contrast between what is expected of future and practicing teachers in their K12 classrooms and what they experience in content and instruction in typical college or university science courses can be striking. This paper describes a multi-institutional collaboration among content-area science faculty and K12 teachers to develop undergraduate content courses for future elementary teachers in life and Earth science. Using data from the project evaluation, we report evidence of change in faculty knowledge and beliefs about science teaching and learning, and how that this translated into pedagogical practice in their courses.

Donovan, Deborah A.; Borda, Emily J.; Hanley, Daniel M.; Landel, Carolyn C.

2015-03-01

300

Alternative Views on Knowledge: Presentation of Open Learner Models  

E-print Network

a learning environment to suit an individuals learning style, so it J.C. Lester, R.M. Vicari & F. Paraguacu]), and a range of externalisations for learner models have been explored. In Mr Collins [1], learner and system interact with it using the mechanism most appropriate to them. In discussion of learner reflection, Collins

Bull, Susan

301

Modeling Sensor Knowledge of a National Hydrologic Information System  

E-print Network

river basins of Spain (SAIH is the Span- ish acronym for Automatic System Information in Hydrology the model. #12;2 2 The SAIH Information System The SAIH National Program (Spanish acronym for Automatic about water flows in rivers. The SAIH system includes different types of sensors such as pluviometers

Molina, Martín

302

CONSTRUCTING COST AND PROFITABILITY KNOWLEDGE WITH MODEL BASED LEARNING  

Microsoft Academic Search

The aim of the case study is to show how a model based learning approach can be used when a new course of management accounting is implemented in Lappeenranta University of Technology during autumn 2005. The target group of the course was students from the international master's programme in chemical and process engineering and they had no previous studies in

Miia Pirttilä; Timo Kärri; Kristiina Karjalainen

303

A model to capture and manage tacit knowledge using a multiagent system  

NASA Astrophysics Data System (ADS)

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.

Paolino, Lilyam; Paggi, Horacio; Alonso, Fernando; López, Genoveva

2014-10-01

304

A knowledge-driven approach for crystallographic protein model completion  

PubMed Central

One of the most cumbersome and time-demanding tasks in completing a protein model is building short missing regions or ‘loops’. A method is presented that uses structural and electron-density information to build the most likely conformations of such loops. Using the distribution of angles and dihedral angles in pentapeptides as the driving parameters, a set of possible conformations for the C? backbone of loops was generated. The most likely candidate is then selected in a hierarchical manner: new and stronger restraints are added while the loop is built. The weight of the electron-density correlation relative to geometrical considerations is gradually increased until the most likely loop is selected on map correlation alone. To conclude, the loop is refined against the electron density in real space. This is started by using structural information to trace a set of models for the C? backbone of the loop. Only in later steps of the algorithm is the electron-density correlation used as a criterion to select the loop(s). Thus, this method is more robust in low-density regions than an approach using density as a primary criterion. The algorithm is implemented in a loop-building program, Loopy, which can be used either alone or as part of an automatic building cycle. Loopy can build loops of up to 14 residues in length within a couple of minutes. The average root-mean-square deviation of the C? atoms in the loops built during validation was less than 0.4?Å. When implemented in the context of automated model building in ARP/wARP, Loopy can increase the completeness of the built models. PMID:18391408

Joosten, Krista; Cohen, Serge X.; Emsley, Paul; Mooij, Wijnand; Lamzin, Victor S.; Perrakis, Anastassis

2008-01-01

305

Validation of HEDR models. Hanford Environmental Dose Reconstruction Project  

SciTech Connect

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.

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

1994-05-01

306

A social network-based organizational model for improving knowledge management in supply chains  

Microsoft Academic Search

Purpose – This paper aims to provide a social network-based model for improving knowledge management in multi-level supply chains formed by small and medium-sized enterprises (SMEs). Design\\/methodology\\/approach – This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Also, an empirical experience from an exploratory case study in the construction sector is presented.

Josep Capó-Vicedo; Josefa Mula; Jordi Capó

2011-01-01

307

A social network-based organizational model for improving knowledge management in supply chains  

Microsoft Academic Search

Purpose – This paper seeks to provide a social network-based model for improving knowledge management in multi-level supply chains formed by small and medium-sized enterprises (SMEs). Design\\/methodology\\/approach – This approach uses social network analysis techniques to propose and represent a knowledge network for supply chains. Empirical experience from an exploratory case study in the construction sector is also presented. Findings

Josep Capó-Vicedo; Josefa Mula; Jordi Capó

2011-01-01

308

A Grid Agent Model for Information Retrieval Based on Topic Map and Knowledge Elements Mining  

Microsoft Academic Search

Knowledge-based and artificial-intelligence-based inductive learning techniques can provide great opportunities to enhance the information processing and retrieval capabilities of current information storage and retrieval systems. This paper introduces a new approach to knowledge-based information retrieval. It presents a grid agent model including three kinds of agents: Grid service agent, service request agent and grid space manager. Through actions of registry,

Lu Quan; Chen Jing

2009-01-01

309

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

ERIC Educational Resources Information Center

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…

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

2011-01-01

310

NTHMP Project Narrative Project Name/Title: Modeling Tsunami Inundation and Assessing Tsunami Hazards  

E-print Network

1 NTHMP Project Narrative Project Name/Title: Modeling Tsunami Inundation and Assessing Tsunami In contrast to the long history of tsunami hazard assessment on the US West coast and Hawaii, tsunami hazard tsunami records and the uncertainty regarding the magnitude and return periods of potential large

Kirby, James T.

311

NASA/DoD aerospace knowledge diffusion research project. VIII - The role of the information intermediary in the diffusion of aerospace knowledge  

NASA Technical Reports Server (NTRS)

The U.S. 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. This article presents a conceptual framework 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.

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

1990-01-01

312

Knowledge brokering: An innovative model for supporting evidence-informed practice in respiratory care  

PubMed Central

The process of adopting research findings in the clinical setting is challenging, regardless of the area of practice. One strategy to facilitate this process is the use of knowledge brokering. Knowledge brokers (KBs) are individuals who work to bridge the gap between researchers and knowledge users. In the health care setting, KBs work closely with clinicians to facilitate enhanced uptake of research findings into clinical practice. They also work with researchers to ensure research findings are translatable and meaningful to clinical practice. The present article discusses a KB’s role in a respiratory care setting. Working closely with both researchers and clinicians, the KB has led teams in the process of conceptualizing, developing, testing, disseminating and evaluating several projects related to respiratory care, including projects related to mobility in critical care settings and acute exacerbations of chronic obstructive pulmonary disease; inspiratory muscle training; and the use of incentive spirometry in postsurgical populations. The KB role has provided an important communication link between researcher and knowledge user that has facilitated evidence-informed practice to improve patient care. PMID:23936885

Hoens, Alison M; Reid, W Darlene; Camp, Pat G

2013-01-01

313

Tutorial on ProSim: a knowledge-based simulation model design tool  

Microsoft Academic Search

This paper introduces ProSim, a knowledge-based simulation design tool that automatically generates simulation models from process models. Domain experts who are familiar with the various aspects of the system may be interviewed and process models can be developed based on the evidence collected using ProSim. The built-in simulation design support environment of ProSim enables building simulation models automatically from process

Madhavi Lingineni; Bruce Caraway; Perakath C. Benjamin; Richard J. Mayer

1996-01-01

314

A tutorial on PROSIM: a knowledge-based simulation model design tool  

Microsoft Academic Search

The paper introduces ProSim, a knowledge based simulation design tool that automatically generates simulation models from process models. Domain experts who are familiar with the various aspects of the system may be interviewed and process models can be developed based on the evidence collected using ProSim. The built-in simulation design support environment of ProSim enables building simulation models automatically from

Madhavi Lingineni; Bruce Caraway; Perakath C. Benjamin; Richard J. Mayer

1995-01-01

315

Children's understanding of the Earth in a multicultural community: Mental models or fragments of knowledge?  

Microsoft Academic Search

Asian and white British students ages 4-8 (N=167) were asked to select an earth from a set of plastic models and then respond to forced-choice questions. There were no significant differences in performance after accounting for language differences. Evidence suggests that children hold fragmentary knowledge rather than mental models, as suggested by previous researchers.

Gavin Nobes; D. G. Moore; A. E. Martin; B. R. Clifford; George Butterworth; Georgia Panagiotaki; Michael Siegal

2003-01-01

316

Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)  

Microsoft Academic Search

NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental

Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

2011-01-01

317

Prerequisites: Control Systems I&II, System Modeling, Knowledge in system identification and engine  

E-print Network

Prerequisites: Control Systems I&II, System Modeling, Knowledge in system identification and engine algorithms should then be implemented in Matlab/Simulink® and tested on a simulation model of the engine systems, MATLAB/Simulink® experience Contact: Michael Moser, ML K41, +41 44 632 65 57, mimoser

Lygeros, John

318

Artificial intelligence in process control: Knowledge base for the shuttle ECS model  

NASA Technical Reports Server (NTRS)

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.

Stiffler, A. Kent

1989-01-01

319

Automatic Detection of Student Mental Models during Prior Knowledge Activation in MetaTutor  

ERIC Educational Resources Information Center

This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge

Rus, Vasile; Lintean, Mihai; Azevedo, Roger

2009-01-01

320

Authoring Knowledge-Based Tutors: Tools for Content, Instructional Strategy, Student Model, and Interface Design.  

ERIC Educational Resources Information Center

Describes tools for authoring all aspects of a knowledge-based tutor system: domain model, teaching strategies, student model, and learning environment. Discusses a number of design issues and design tradeoffs that are involved in building intelligent tutoring systems (ITS). (Author/CCM)

Murray, Tom

1998-01-01

321

Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge  

E-print Network

Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge D applications of logistic S-curve and component logistics are considered in a framework of long- term. First, the features of a simple logistic model are presented and diverse types of competition

Paris-Sud XI, Université de

322

Fuzzy knowledge-based model for prediction of traction force of an electric golf car  

Microsoft Academic Search

The methods of artificial intelligence are widely used in soft computing technology due to its remarkable prediction accuracy. However, artificial intelligent models are trained using large amount of data obtained from the operation of the off-road vehicle. In contrast, fuzzy knowledge-based models are developed by using the experience of the traction in order to maintain the vehicle traction as required

Ataur Rahman; Altab Hossain; Mabubur Rashid

323

Sensitive Topic Detection Model Based on Collaboration of Dynamic Case Knowledge Base  

Microsoft Academic Search

In order to detect and rank sensitive topic in campus network and assure health and security of campus network culture, this paper proposes a sensitive topic detection model. Different from traditional TDT (topic detection and tracking) technologies, the model is based on collaboration of dynamic case knowledge base and multi-domain cooperative computing method. Dynamically nature of topic causes great difficulties

Liyong Zhao; Chongchong Zhao; Jingqin Pang; Jianyi Huang

2011-01-01

324

Process-Based Supply Chain Resources Descriptive Model and Knowledge Representation Based on XML  

Microsoft Academic Search

In order to realize the integration and sharing of the enterprise resources information in supply chain, and improve the synthesis competition of the whole supply chain. This paper analyzes the supply chain resources in terms of process, sets up the process-based supply chain resources descriptive model, and applies to XML to form a knowledge representation model. In the end, we

Xiangbin Zhang; Yali Duan; Changlin Hu; Jinming Wang

2007-01-01

325

Intermediate Results from the Distributed Model Intercomparison Project (DMIP)  

Microsoft Academic Search

The Hydrology Lab (HL) of the National Weather Service Office of Hydrologic Development (NWS-OHD) has initiated the Distributed Model Intercomparison Project (DMIP) to help guide its research and development into advanced hydrologic models for river and flash flood forecasting. Compared to the spatially lumped conceptual models now in operational use by the NWS, distributed models account for the spatial variability

M. B. Smith; V. Koren; D. Seo; S. Reed; Z. Zhang; Q. Duan

2001-01-01

326

Low Frequency Variants, Collapsed Based on Biological Knowledge, Uncover Complexity of Population Stratification in 1000 Genomes Project Data  

PubMed Central

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. PMID:24385916

Moore, Carrie B.; Wallace, John R.; Wolfe, Daniel J.; Frase, Alex T.; Pendergrass, Sarah A.; Weiss, Kenneth M.; Ritchie, Marylyn D.

2013-01-01

327

Water Transit Authority Project WTA #02-112 under Sub Contract to ABS Consulting Maritime Simulation Model  

E-print Network

Water Transit Authority Project WTA #02-112 under Sub Contract to ABS Consulting Maritime COMMONWEALTH UNIVERSITY JASON R.W. MERRICK #12;Maritime Simulation Model of San Francisco Bay GWU ­ VCU 2002 Collection Support, Stacey W. Shonk from the California Maritime Academy for providing his detailed knowledge

van Dorp, Johan René

328

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)

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.

Pinelli, Thomas E.; Barclay, Rebecca O.; Kotler, Mindy L.

1997-01-01

329

Different Manhattan project: automatic statistical model generation  

Microsoft Academic Search

We address the automatic generation of large geometric models. This is important in visualization for several reasons. First, many applications need access to large but interesting data models. Second, we often need such data sets with particular characteristics (e.g., urban models, park and recreation landscape). Thus we need the ability to generate models with different parameters. We propose a new

Chee Keng Yap; Henning Biermann; Aaron Hertzmann; Chen Li; Jon Meyer; Hsing-Kuo Pao; Salvatore Paxia

2002-01-01

330

Infrastructure requirement of knowledge management system model of statistical learning tool (SLT) for education community  

NASA Astrophysics Data System (ADS)

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.

Abdullah, Rusli; Samah, Bahaman Abu; Bolong, Jusang; D'Silva, Jeffrey Lawrence; Shaffril, Hayrol Azril Mohamed

2014-09-01

331

A Bayesian network approach to knowledge integration and representation of farm irrigation: 1. Model development  

NASA Astrophysics Data System (ADS)

Irrigation is important to many agricultural businesses but also has implications for catchment health. A considerable body of knowledge exists on how irrigation management affects farm business and catchment health. However, this knowledge is fragmentary; is available in many forms such as qualitative and quantitative; is dispersed in scientific literature, technical reports, and the minds of individuals; and is of varying degrees of certainty. Bayesian networks allow the integration of dispersed knowledge into quantitative systems models. This study describes the development, validation, and application of a Bayesian network model of farm irrigation in the Shepparton Irrigation Region of northern Victoria, Australia. In this first paper we describe the process used to integrate a range of sources of knowledge to develop a model of farm irrigation. We describe the principal model components and summarize the reaction to the model and its development process by local stakeholders. Subsequent papers in this series describe model validation and the application of the model to assess the regional impact of historical and future management intervention.

Wang, Q. J.; Robertson, D. E.; Haines, C. L.

2009-02-01

332

Can model weighting improve probabilistic projections of climate change?  

NASA Astrophysics Data System (ADS)

Recently, Räisänen and co-authors proposed a weighting scheme in which the relationship between observable climate and climate change within a multi-model ensemble determines to what extent agreement with observations affects model weights in climate change projection. Within the Third Coupled Model Intercomparison Project (CMIP3) dataset, this scheme slightly improved the cross-validated accuracy of deterministic projections of temperature change. Here the same scheme is applied to probabilistic temperature change projection, under the strong limiting assumption that the CMIP3 ensemble spans the actual modeling uncertainty. Cross-validation suggests that probabilistic temperature change projections may also be improved by this weighting scheme. However, the improvement relative to uniform weighting is smaller in the tail-sensitive logarithmic score than in the continuous ranked probability score. The impact of the weighting on projection of real-world twenty-first century temperature change is modest in most parts of the world. However, in some areas mainly over the high-latitude oceans, the mean of the distribution is substantially changed and/or the distribution is considerably narrowed. The weights of individual models vary strongly with location, so that a model that receives nearly zero weight in some area may still get a large weight elsewhere. Although the details of this variation are method-specific, it suggests that the relative strengths of different models may be difficult to harness by weighting schemes that use spatially uniform model weights.

Räisänen, Jouni; Ylhäisi, Jussi S.

2012-10-01

333

Constructing a Risk Management Mechanism Model of ERP Project Implementation  

Microsoft Academic Search

In the process of information project implementation of manufacturing enterprises, there are many risks, to set up a set of risk management mechanism is guaranteed for them to succeed in ERP implementation. Firstly, based on the analysis of ERP project implementation of China, the paper introduced the risk management methodology systems and the relative model, which includes three main steps,

Jiangao Deng; Yijie Bian

2008-01-01

334

Improving Project Management Using Formal Models and Architectures  

NASA Technical Reports Server (NTRS)

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.

Kahn, Theodore; Sturken, Ian

2011-01-01

335

Different Manhattan project: automatic statistical model generation  

NASA Astrophysics Data System (ADS)

We address the automatic generation of large geometric models. This is important in visualization for several reasons. First, many applications need access to large but interesting data models. Second, we often need such data sets with particular characteristics (e.g., urban models, park and recreation landscape). Thus we need the ability to generate models with different parameters. We propose a new approach for generating such models. It is based on a top-down propagation of statistical parameters. We illustrate the method in the generation of a statistical model of Manhattan. But the method is generally applicable in the generation of models of large geographical regions. Our work is related to the literature on generating complex natural scenes (smoke, forests, etc) based on procedural descriptions. The difference in our approach stems from three characteristics: modeling with statistical parameters, integration of ground truth (actual map data), and a library-based approach for texture mapping.

Yap, Chee Keng; Biermann, Henning; Hertzmann, Aaron; Li, Chen; Meyer, Jon; Pao, Hsing-Kuo; Paxia, Salvatore

2002-03-01

336

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-print Network

transfer limits are set using  overly optimistic models, a grid operator transfer limits are set using  overly optimistic models, a grid operator operator may be overly conservative and  impose unnecessary restrictions on the transfer 

Lesieutre, Bernard

2013-01-01

337

FINAL PROJECT REPORT LOAD MODELING TRANSMISSION RESEARCH  

E-print Network

Solar generation interfaces to the grid through power grid reliability.   Modeling of controlled power electronic coupled devices, including solar grid reliability.   Modeling of controlled power electronic coupled devices, including solar 

Lesieutre, Bernard

2013-01-01

338

Energy policy models for project independence  

Microsoft Academic Search

Federal energy ad~~stratian, OtYice of the Deputy Assistant Ad~is~~tor for Data and Analysis, U.S,A, Scope and purpw-Project Independence was initiated by the President in March of I%4 after the oil embargo, to evaluate U.S. energy problems and to provide a framework for developing a national energy policy. The FEA led the effort which involved over 500 professionals, and resulted in

William W. Hogan

1975-01-01

339

The Quebec Rural Emergency Department Project: A Cross-Sectional Study of a Potential Two-Pronged Strategy in the Knowledge Transfer Process  

PubMed Central

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

Poitras, Julien; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Tanguay, Alain; Simard-Racine, Geneviève

2015-01-01

340

GrAM: Reasoning with Grounded Action Models by Combining Knowledge Representation and Data Mining  

Microsoft Academic Search

This paper proposes GrAM (Grounded Action Models), a novel integration of actions and action models into the knowledge representation\\u000a and inference mechanisms of agents. In GrAM action models accord to agent behavior and can be specified explicitly and implicitly.\\u000a The explicit representation is an action class specific set of Markov logic rules that predict action properties. Stated implicitly\\u000a an action

Nicolai Hoyningen-Huene; Bernhard Kirchlechner; Michael Beetz

341

The dynamic nature of knowledge: insights from a dynamic field model of children's novel noun generalization  

PubMed Central

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

Samuelson, Larissa K.; Schutte, Anne R.; Horst, Jessica S.

2011-01-01

342

Numerical modeling in photonic crystals integrated technology: the COPERNICUS Project  

E-print Network

Thales Research and Technology, Palaiseau, France Abstract--Photonic crystals will play a fundamental by Thales Research and Technology (TRT), France, the Consortium brings together different academicNumerical modeling in photonic crystals integrated technology: the COPERNICUS Project Stefania

Boyer, Edmond

343

Demographic models and IPCC climate projections predict the decline of an emperor penguin population  

PubMed Central

Studies have reported important effects of recent climate change on Antarctic species, but there has been to our knowledge no attempt to explicitly link those results to forecasted population responses to climate change. Antarctic sea ice extent (SIE) is projected to shrink as concentrations of atmospheric greenhouse gases (GHGs) increase, and emperor penguins (Aptenodytes forsteri) are extremely sensitive to these changes because they use sea ice as a breeding, foraging and molting habitat. We project emperor penguin population responses to future sea ice changes, using a stochastic population model that combines a unique long-term demographic dataset (1962–2005) from a colony in Terre Adélie, Antarctica and projections of SIE from General Circulation Models (GCM) of Earth's climate included in the most recent Intergovernmental Panel on Climate Change (IPCC) assessment report. We show that the increased frequency of warm events associated with projected decreases in SIE will reduce the population viability. The probability of quasi-extinction (a decline of 95% or more) is at least 36% by 2100. The median population size is projected to decline from ?6,000 to ?400 breeding pairs over this period. To avoid extinction, emperor penguins will have to adapt, migrate or change the timing of their growth stages. However, given the future projected increases in GHGs and its effect on Antarctic climate, evolution or migration seem unlikely for such long lived species at the remote southern end of the Earth. PMID:19171908

Jenouvrier, Stéphanie; Caswell, Hal; Barbraud, Christophe; Holland, Marika; Strœve, Julienne; Weimerskirch, Henri

2009-01-01

344

State of Florida hurricane loss projection model: Atmospheric science component  

Microsoft Academic Search

The State of Florida has developed an open, public model for the purpose of probabilistic assessment of risk to insured residential property associated with wind damage from hurricanes. The model comprises atmospheric science, engineering, and financial\\/actuarial components and is planned for submission to the Florida Commission on Hurricane Loss Projection Methodology. The atmospheric component includes modeling the track and intensity

Mark Powella; Nirva Morisseau-Leroyd

345

Mesh model based projection operator for emission tomography  

Microsoft Academic Search

In this paper, we presented a framework for calculation of a projection operator for emission tomographic reconstruction, using content-adaptive mesh model (CAMM) for image representation, which can incorporate major image degradation models, namely attenuation and parallel hole collimator response. The CAMM is an efficient image description based on non-uniform sampling and linear interpolation. The data acquisition process, e.g. forward projection,

Ricard Gonzalo Delgado; Jovan G. Brankov

2007-01-01

346

HEDR model validation plan. Hanford Environmental Dose Reconstruction Project  

SciTech Connect

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.

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

1993-06-01

347

The Joint Venture Model of Knowledge Utilization: a guide for change in nursing.  

PubMed

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. PMID:16761801

Edgar, Linda; Herbert, Rosemary; Lambert, Sylvie; MacDonald, Jo-Ann; Dubois, Sylvie; Latimer, Margot

2006-05-01

348

Filling Gaps in Biodiversity Knowledge for Macrofungi: Contributions and Assessment of an Herbarium Collection DNA Barcode Sequencing Project  

PubMed Central

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

Osmundson, Todd W.; Robert, Vincent A.; Schoch, Conrad L.; Baker, Lydia J.; Smith, Amy; Robich, Giovanni; Mizzan, Luca; Garbelotto, Matteo M.

2013-01-01

349

Filling gaps in biodiversity knowledge for macrofungi: contributions and assessment of an herbarium collection DNA barcode sequencing project.  

PubMed

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

Osmundson, Todd W; Robert, Vincent A; Schoch, Conrad L; Baker, Lydia J; Smith, Amy; Robich, Giovanni; Mizzan, Luca; Garbelotto, Matteo M

2013-01-01

350

Implementations of a Flexible Framework for Managing Geologic Sequestration Modeling Projects  

SciTech Connect

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

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

351

Pataha [Creek] Model Watershed : 1997 Habitat Projects : Annual Progress Report.  

SciTech Connect

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. Up until this 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.

Bartels, Duane

1998-10-28

352

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)

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.

Pinelli, Thomas E.; Barclay, Rebecca O.

1998-01-01

353

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

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…

Maerten-Rivera, Jaime Lynn; Huggins-Manley, Anne Corinne; Adamson, Karen; Lee, Okhee; Llosa, Lorena

2015-01-01

354

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

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…

Biraimah, Karen L.; Jotia, Agreement Lathi

2013-01-01

355

OCMIP: Ocean Carbon-Cycle Model Intercomparison Project  

NSDL National Science Digital Library

The Ocean Carbon-Cycle Model Intercomparison Project (OCMIP) goal is "to develop an international collaboration to improve the predictive capacity and accelerate development of global-scale, three-dimensional, ocean carbon-cycle models through standardized model evaluation and model intercomparison." Visitors to the site can learn about the objectives, reports, and other details about the two finished phases, OCMIP-1 and OCMIP-2, as well as details about the new phase, OCMIP-3. The website offers detailed information about data visualization and analysis tools such as Ferret. While a few links are intended for OCMIP participants, users are able to obtain lots of information about the project.

356

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

PubMed

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. PMID:25627852

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

2015-01-01

357

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks  

PubMed Central

Background Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning. Results To address these challenges, we formulated the inference of differential dependency networks that incorporate both conditional data and prior knowledge as a convex optimization problem, and developed an efficient learning algorithm to jointly infer the conserved biological network and the significant rewiring across different conditions. We used a novel sampling scheme to estimate the expected error rate due to “random” knowledge. Based on that scheme, we developed a strategy that fully exploits the benefit of this data-knowledge integrated approach. We demonstrated and validated the principle and performance of our method using synthetic datasets. We then applied our method to yeast cell line and breast cancer microarray data and obtained biologically plausible results. The open-source R software package and the experimental data are freely available at http://www.cbil.ece.vt.edu/software.htm. Conclusions Experiments on both synthetic and real data demonstrate the effectiveness of the knowledge-fused differential dependency network in revealing the statistically significant rewiring in biological networks. The method efficiently leverages data-driven evidence and existing biological knowledge while remaining robust to the false positive edges in the prior knowledge. The identified network rewiring events are supported by previous studies in the literature and also provide new mechanistic insight into the biological systems. We expect the knowledge-fused differential dependency network analysis, together with the open-source R package, to be an important and useful bioinformatics tool in biological network analyses. PMID:25055984

2014-01-01

358

Silencing the Center: Local Knowledge and Imported Model in Learning Disabilities  

ERIC Educational Resources Information Center

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…

Bazna, Maysaa

2009-01-01

359

Data and knowledge modeling for design–process planning integration of sheet metal components  

Microsoft Academic Search

Realizing design–process planning integration is vital to the competitiveness of manufacturing organization and its ability to respond rapidly to market changes. Many attempts have been made in the past proposing the integration of the two activities based on product data models. However, both design and process planning activities are knowledge intensive. An effective integration is possible only if both data

K. V. Ramana; P. V. M. Rao

2004-01-01

360

Comments on Ghassib's "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"  

ERIC Educational Resources Information Center

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…

McCluskey, Ken W.

2010-01-01

361

A Novice-Expert Study of Modeling Skills and Knowledge Structures about Air Quality  

ERIC Educational Resources Information Center

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…

Hsu, Ying-Shao; Lin, Li-Fen; Wu, Hsin-Kai; Lee, Dai-Ying; Hwang, Fu-Kwun

2012-01-01

362

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...

363

Preservice Teachers' Pedagogical Content Knowledge of Using Particle Models in Teaching Chemistry  

ERIC Educational Resources Information Center

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…

De Jong, Onno; Van Driel, Jan H.; Verloop, Nico

2005-01-01

364

Integrating Knowledge Management into Organisational Learning: A Review of Concepts and Models  

ERIC Educational Resources Information Center

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…

Pun, Kit Fai; Nathai-Balkissoon, Marcia

2011-01-01

365

SenseNet: A Knowledge Representation Model for Computational Ping Chen (contact author)  

E-print Network

SenseNet: A Knowledge Representation Model for Computational Semantics Ping Chen (contact author 77002 chenp@uhd.edu Wei Ding Department of Computer Science University of Houston-Clear Lake 2700 Bay for Computational Semantics Ping Chen Dept. of Computer and Mathematical Sciences Univ. of Houston-Downtown One Main

Ding, Wei

366

An Open Learner Model for Children and Teachers: Inspecting Knowledge Level of Individuals and Peers  

E-print Network

An Open Learner Model for Children and Teachers: Inspecting Knowledge Level of Individuals and Peers Susan Bull and Mark McKay Electronic, Electrical and Computer Engineering, University to an intelligent tutoring system for 8-9 year-old children and their teachers. We in- troduce Subtraction Master

Bull, Susan

367

Products Depend on Creative Potential: A Comment on the Productivist Industrial Model of Knowledge Production  

ERIC Educational Resources Information Center

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,…

Runco, Mark A.

2010-01-01

368

Critique of "Where Does Creativity Fit into a Productivist Industrial Model of Knowledge Production?"  

ERIC Educational Resources Information Center

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…

Harris, Carole Ruth

2010-01-01

369

Effective Civic Education: An Educational Effectiveness Model for Explaining Students' Civic Knowledge  

ERIC Educational Resources Information Center

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…

Isac, Maria Magdalena; Maslowski, Ralf; van der Werf, Greetje

2011-01-01

370

Bivariate Normal Model: A Classroom Project  

NSDL National Science Digital Library

This article, created by authors B.C. Lyon and M.W. Maxfield of Louisiana Tech University, describes a hands-on class activity for understanding the bivariate normal distribution by constructing a three-dimensional model. This construction not only teaches the statistical theory, but it also a fun activity for students. The authors begin with an introduction, then discuss the symmetry of the model, address the plane sections, slopes and deviations, and finally the base and mounting of the model. This is a unique activity for this mathematical technique.

Lyon, B.C.

371

Knowledge discovery in scientific data using hierarchical modeling in dimensional analysis  

NASA Astrophysics Data System (ADS)

In the automotive and the aerospace industry large amounts of expensively gathered experimental data are stored in huge databases. The real worth of these databases lies not only in easy data access, but also in the additional possibility of extracting the engineering knowledge implicitly contained in these data. As analytical modeling techniques in engineering are usually limited in model complexity, data driven techniques gain more and more importance in this kind of modeling. Using additional engineering knowledge such as dimensional information, the data driven modeling process has a great potential for saving modeling as well as experimental effort and may therefore help to generate financial benefit. In a technical context, knowledge is often represented as numerical attribute-value pairs with corresponding measurement units. The database fields form the so-called relevance list which is the only information needed to find the set of dimensionless parameters for the problem. The Pi- Theorem of Buckingham guarantees that for each complete relevance list a set of dimensionless groups exists. The number of these dimensionless parameters is less than the number of dimensional parameters in the dimensional formulation, thus a dimensionality reduction can easily be accomplished. Additionally, dimensional analysis allows a hierarchical modeling technique, first creating models of subsystems and then aggregating them consecutively into the overall model using coupling numbers. This paper gives a brief introduction into dimensional analysis and then shows the procedure of hierarchical modeling, its implications, as well as its application to knowledge discovery in scientific data. The proposed method is illustrated in a simplified example from the aerospace industry.

Brueckner, Steffen; Rudolph, Stephan

2001-03-01

372

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

NASA Astrophysics Data System (ADS)

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).

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

2013-12-01

373

Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP)  

E-print Network

Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP) Ben Kravitz,1 Received 7 January 2013; revised 3 July 2013; accepted 10 July 2013. [1] Solar geoengineering Experiment G1 of the Geoengineering Model Intercomparison Project, in which 12 climate models have simulated

Moore, John

374

Development of a NASA Integrated Technical Workforce Career Development Model Entitled Requisite Occupation Competencies and Knowledge -- the ROCK  

NASA Technical Reports Server (NTRS)

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.

Menrad, Robert J.; Larson, Wiley J.

2008-01-01

375

77 FR 13578 - Disability and Rehabilitation Research Project; Traumatic Brain Injury Model Systems Centers  

Federal Register 2010, 2011, 2012, 2013, 2014

...Rehabilitation Research Project; Traumatic Brain Injury Model Systems Centers AGENCY: Office...Rehabilitation Research Project--Traumatic Brain Injury Model Systems Centers. CFDA Number...Projects (DRRPs) to serve as Traumatic Brain Injury Model Systems (TBIMS)...

2012-03-07

376

Understanding the Role of Representation in Interorganizational Knowledge Integration: A Case Study of an IT Outsourcing Project  

ERIC Educational Resources Information Center

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.…

Werr, Andreas; Runsten, Philip

2013-01-01

377

Preservation of Records, Knowledge and Memory Across Generations. An emerging Multidisciplinary Work Area and an NEA Project - 12218  

SciTech Connect

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 systematic identification of mechanisms for RK and M transfer; on implementing a culture of RK and M-keeping in organisations; and on creating cultural links between the waste disposals and the siting communities. Moreover, international cooperation is recognised as being crucial in providing shared means and meanings for memory transmission over longer timescales. International cooperation has also been identified as a catalyst to ensure that a wide range of approaches and experiences is considered, thus potentially reducing uncertainty related to variations in approach. Overall, multiple approaches, requiring active and less active care, need to be considered from the start of the radioactive waste management programme and refined in the course of time. The RK and M project members want to further investigate and deliver support to fulfil this task. (authors)

Schroeder, Jantine [Belgian Nuclear Research Institute SCK.CEN, Mol (Belgium); Pescatore, Claudio [OECD NEA, Paris (France)

2012-07-01

378

Educating the Community: A Watershed Model Project.  

ERIC Educational Resources Information Center

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)

Perryess, C. S.

2001-01-01

379

Knowledge sharing in knowledge communities  

Microsoft Academic Search

This paper investigates the contribution of ICT to knowledge sharing in communities of practice. A theoretical model is built that identifies the possible influence of ICT on the extent to which knowledge is shared within a community, as well as a number of variables that determine the extent to which this contribution is realized. This theoretical model was tested within

Hooff van den B. J; W. J. L. Elving; Jan Michiel Meeuwsen; C. M. Dumoulin

2003-01-01

380

Fixed Effects vs. Random Effects Meta-Analysis Models: Implications for Cumulative Research Knowledge  

Microsoft Academic Search

Research conclusions in the social sciences are increasingly based on meta-analysis, making questions of the accuracy of meta-analysis critical to the integrity of the base of cumulative knowledge. Both fixed effects (FE) and random effects (RE) meta-analysis models have been used widely in published meta-analyses. This article shows that FE models typically manifest a substantial Type I bias in significance

John E. Hunter; Frank L. Schmidt

2000-01-01

381

The NBS Energy Model Assessment project: Summary and overview  

NASA Astrophysics Data System (ADS)

The activities and technical reports for the project are summarized. The reports cover: assessment of the documentation of Midterm Oil and Gas Supply Modeling System; analysis of the model methodology characteristics of the input and other supporting data; statistical procedures undergirding construction of the model and sensitivity of the outputs to variations in input, as well as guidelines and recommendations for the role of these in model building and developing procedures for their evaluation.

Gass, S. I.; Hoffman, K. L.; Jackson, R. H. F.; Joel, L. S.; Saunders, P. B.

1980-09-01

382

Towards a Knowledge-Based System Prototype for Aeronautical Search and Rescue Operations  

Microsoft Academic Search

The long-term objective of our project is to develop a knowledge-based tool for Search and Rescue (SAR) operations to support a Canadian search mission coordinator in determining the likely location of a missing aircraft overland. In order to attain this objective, we used a knowledge engineering approach to acquire, structure and model SAR experts' knowledge. This knowledge was modeled and

Irene Abi-Zeid; O. Nilo; S. Schvartz; Michael Morin

2010-01-01

383

Knowledge, transparency, refutability, and consequences: Using models to evaluate geologic repositories  

NASA Astrophysics Data System (ADS)

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 other methods. Results suggest that the more computationally frugal methods can capture about 70% of the insight for 2% of the model runs. This rapidly obtained insight can be used directly and, if practical, to design clearly focused computationally demanding numerical analyses. Also, when one conceptual model can be analyzed relatively quickly, consideration of more alternative conceptual models becomes possible. This produces a more defensible uncertainty evaluation of simulated consequences, such as predictions. Here, we highlight analyses related to predictions, including confidence intervals. Also included are the OPR (Observation-PRediction) and PPR (Parameter-PRediction) statistics, precursors to the Predunc and Predvar statistics in PEST. These statistics all use the model to identify new measurements of state variables and system characteristics most important to reducing prediction uncertainty. Methods for evaluating what might be several future climate or development scenarios are briefly discussed. The examples demonstrate that the proposed set of methods provide a rich environment for evaluating many questions commonly of interest when developing and evaluating geologic repositories. Consistent use of these methods, along with other methods as practical, would serve to achieve greater transparency and refutability in the simulation of geologic repositories.

Hill, M. C.; Kavetski, D.; Clark, M. P.; Ye, M.; Tiedeman, C. R.; Arabi, M.; Lu, D.

2012-04-01

384

Knowledge-based approach for generating target system specifications from a domain model  

NASA Technical Reports Server (NTRS)

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.

Gomaa, Hassan; Kerschberg, Larry; Sugumaran, Vijayan

1992-01-01

385

Building Information Modelling Project Decision Support Framework  

Microsoft Academic Search

Building Information Modelling (BIM) is an information technology (IT) enabled approach to managing design data in the AEC\\/FM (Architecture, Engineering and Construction\\/ Facilities Management) industry. BIM enables improved inter- disciplinary collaboration across distributed teams, intelligent documentation and information retrieval, greater consistency in building data, better conflict detection and enhanced facilities management. Despite the apparent benefits the adoption of BIM in

Kerry London; Vishal Singh; Claudelle Taylor; Ning Gu

386

Final Report for CAEL Operational Models Project.  

ERIC Educational Resources Information Center

Twelve institutions with experiential learning programs in higher education were selected to develop practical models that could be useful to similar institutions. Attention was to be focused on either or both of two areas of concern for experiential learning programs: the establishment of criterion standards for assessment and the financial…

Cooperative Assessment of Experiential Learning, Columbia, MD.

387

[The discussion of the infiltrative model of mathematical knowledge to genetics teaching].  

PubMed

Genetics, the core course of biological field, is an importance major-basic course in curriculum of many majors related with biology. Due to strong theoretical and practical as well as abstract of genetics, it is too difficult to study on genetics for many students. At the same time, mathematics is one of the basic courses in curriculum of the major related natural science, which has close relationship with the establishment, development and modification of genetics. In this paper, to establish the intrinsic logistic relationship and construct the integral knowledge network and to help students improving the analytic, comprehensive and logistic abilities, we applied some mathematical infiltrative model genetic knowledge in genetics teaching, which could help students more deeply learn and understand genetic knowledge. PMID:22120086

Liu, Jun; Luo, Pei-Gao

2011-11-01

388

Development and Application of New Quality Model for Software Projects  

PubMed Central

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

Karnavel, K.; Dillibabu, R.

2014-01-01

389

Model learning and knowledge sharing for a multiagent system with dyna-q learning.  

PubMed

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. PMID:25122850

Hwang, Kao-Shing; Jiang, Wei-Cheng; Chen, Yu-Jen

2015-05-01

390

Modeling Human Physiology: The IUPS\\/EMBS Physiome Project  

Microsoft Academic Search

The Physiome Project is an international collaboration to provide a framework for understanding human physiology, from proteins and cells to tissues and organs, with multiscale models that use computational techniques derived from engineering and software approaches from computer science. With the increasing interest in modeling living systems from research scientists in many branches of mathematics, physics, and engineering, it is

PETER J. HUNTER

2006-01-01

391

Cacao Intensification in Sulawesi: A Green Prosperity Model Project  

SciTech Connect

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.

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

2014-09-01

392

[The discussion of the infiltrative model of chemical knowledge stepping into genetics teaching in agricultural institute or university].  

PubMed

Chemistry is an important group of basic courses, while genetics is one of the important major-basic courses in curriculum of many majors in agricultural institutes or universities. In order to establish the linkage between the major course and the basic course, the ability of application of the chemical knowledge previously learned in understanding genetic knowledge in genetics teaching is worthy of discussion for genetics teachers. In this paper, the authors advocate to apply some chemical knowledge previously learned to understand genetic knowledge in genetics teaching with infiltrative model, which could help students learn and understand genetic knowledge more deeply. Analysis of the intrinsic logistic relationship among the knowledge of different courses and construction of the integral knowledge network are useful for students to improve their analytic, comprehensive and logistic abilities. By this way, we could explore a new teaching model to develop the talents with new ideas and comprehensive competence in agricultural fields. PMID:20466644

Zou, Ping; Luo, Pei-Gao

2010-05-01

393

Effect of the science teaching advancement through modeling physical science professional development workshop on teachers' attitudes, beliefs and content knowledge and students' content knowledge  

NASA Astrophysics Data System (ADS)

The Science Teaching Advancement through Modeling Physical Science (STAMPS) professional development workshop was evaluated for effectiveness in improving teachers' and students' content knowledge. Previous research has shown modeling to be an effective method of instruction for improving student and teacher content knowledge, evidenced by assessment scores. Data includes teacher scores on the Force Concept Inventory (FCI; Hestenes, Wells, & Swackhamer, 1992) and the Chemistry Concept Inventory (CCI; Jenkins, Birk, Bauer, Krause, & Pavelich, 2004), as well as student scores on a physics and chemistry assessment. Quantitative data is supported by teacher responses to a post workshop survey and classroom observations. Evaluation of the data shows that the STAMPS professional development workshop was successful in improving both student and teacher content knowledge. Conclusions and suggestions for future study are also included.

Dietz, Laura

394

Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP)  

E-print Network

Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP) Ben Kravitz,1 geoengineering--deliberate reduction in the amount of solar radiation retained by the Earth--has been proposed present results from Experiment G1 of the Geoengineering Model Intercomparison Project, in which 12

Robock, Alan

395

Semiclassical projection of hedgehog models with quarks  

NASA Astrophysics Data System (ADS)

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, g?NN, N-? mass splitting, properties of the N-? transition, etc., are calculated.

Cohen, Thomas D.; Broniowski, Wojciech

1986-12-01

396

Semiclassical projection of hedgehog models with quarks  

SciTech Connect

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.

Cohen, T.D.; Broniowski, W.

1986-12-01

397

Integrated primary nursing: a care delivery model for the 21st-century knowledge worker.  

PubMed

Care delivery models are an integral component for delivering patient care. Although models may be abstract, nursing care delivery models need to be evolving and reality-based, as they serve to organize the allocation of nursing resources. How nursing resources are allocated is associated with patient and professional RN satisfaction, RN perceived autonomy, and quality outcomes. Care delivery models must be evolving within today's dynamic healthcare environment and must be structured within the context of a professional practice model. At the Hospital of the University of Pennsylvania, a Magnet-designated organization, a blend of traditional primary nursing and the updated relationship-based care has been developed and actualized. This model, Integrated Primary Nursing, exists within the framework of the Hospital of the University of Pennsylvania Nursing Excellence in Professional Practice. The coalescence of the 2 has yielded a care delivery model for the 21-st century RN knowledge worker. PMID:20562570

Jost, Sandra G; Bonnell, Maureen; Chacko, Suma Joe; Parkinson, Darian L

2010-01-01

398

Single Investigator or Group Projects? Which is the More Successful Model for a REU Site?  

NASA Astrophysics Data System (ADS)

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 field and lab techniques and helped one another as a cooperative group but was held individually responsible for various aspects of the data collection and analysis. Further, it can be argued that in the short amount of time allotted for REU projects (8-10 weeks), it is difficult for inexperienced students to design a publishable project; and one could question if this is the appropriate venue for having students initiate either projects that are too large to do in the timeframe of the REU or too specific or limited in data and methods to be significant scientific contributions. Thus, we will pursue the 'team model' in our third year of our REU project because it has yielded better scientific outcomes and more satisfying experiences for our students.

Boush, L. P.; Myrbo, A.; Berman, M. J.; Gnivecki, P.; Michelson, A.; Brady, K. L.

2012-12-01

399

Aviation Safety Risk Modeling: Lessons Learned From Multiple Knowledge Elicitation Sessions  

NASA Technical Reports Server (NTRS)

Aviation safety risk modeling has elements of both art and science. In a complex domain, such as the National Airspace System (NAS), it is essential that knowledge elicitation (KE) sessions with domain experts be performed to facilitate the making of plausible inferences about the possible impacts of future technologies and procedures. This study discusses lessons learned throughout the multiple KE sessions held with domain experts to construct probabilistic safety risk models for a Loss of Control Accident Framework (LOCAF), FLightdeck Automation Problems (FLAP), and Runway Incursion (RI) mishap scenarios. The intent of these safety risk models is to support a portfolio analysis of NASA's Aviation Safety Program (AvSP). These models use the flexible, probabilistic approach of Bayesian Belief Networks (BBNs) and influence diagrams to model the complex interactions of aviation system risk factors. Each KE session had a different set of experts with diverse expertise, such as pilot, air traffic controller, certification, and/or human factors knowledge that was elicited to construct a composite, systems-level risk model. There were numerous "lessons learned" from these KE sessions that deal with behavioral aggregation, conditional probability modeling, object-oriented construction, interpretation of the safety risk results, and model verification/validation that are presented in this paper.

Luxhoj, J. T.; Ancel, E.; Green, L. L.; Shih, A. T.; Jones, S. M.; Reveley, M. S.

2014-01-01

400

Project TIES: Towards Inclusion in Early Settings Model Demonstration Project. Final Report.  

ERIC Educational Resources Information Center

This final report describes the activities and outcomes of Project TIES (Towards Inclusion in Early Education), a federally funded demonstration model training program designed to enhance the abilities of child care providers and trainers to include young children, birth to five, with disabilities in developmentally appropriate child care…

Willis, Clarissa A.

401

Model Vocational Education Distance Learning Project. Project Number: 88420032-57.  

ERIC Educational Resources Information Center

A Texas project developed a model distance learning program for a Health Care Science course. It determined the feasibility of using a distance learning delivery system for providing small rural districts with additional vocational education options. Activities included advisory committee selection, course development and support material…

Allen, Kathryn; Carl, David

402

Modeling Architecture and Reference Models for the ERP5 Project  

Microsoft Academic Search

The adoption of ERPs systems by small and middle-sized companies may not be possible due to their cost. At the same time,\\u000a when adapting ERP to the company’s particular needs, the user keeps depending on the system’s sellers due to the lack of access\\u000a and knowledge of the respective code. Free and open-source software may promote advantages to the enterprises,

Renato de Campos; Rogério de Carvalho; Ailton Ferreira

403

Heart Modeling, Computational Physiology and the IUPS Physiome Project  

NASA Astrophysics Data System (ADS)

The Physiome Project of the International Union of Physiological Sciences (IUPS) is attempting to provide a comprehensive framework for modelling the human body using computational methods which can incorporate the biochemistry, biophysics and anatomy of cells, tissues and organs. A major goal of the project is to use computational modelling to analyse integrative biological function in terms of underlying structure and molecular mechanisms. To support that goal the project is developing XML markup languages (CellML & FieldML) for encoding models, and software tools for creating, visualizing and executing these models. It is also establishing web-accessible physiological databases dealing with model-related data at the cell, tissue, organ and organ system levels. Two major developments in current medicine are, on the one hand, the much publicised genomics (and soon proteomics) revolution and, on the other, the revolution in medical imaging in which the physiological function of the human body can be studied with a plethora of imaging devices such as MRI, CT, PET, ultrasound, electrical mapping, etc. The challenge for the Physiome Project is to link these two developments for an individual - to use complementary genomic and medical imaging data, together with computational modelling tailored to the anatomy, physiology and genetics of that individual, for patient-specific diagnosis and treatment.

Hunter, Peter J.

404

Inter-model variability in hydrological extremes projections for Amazonian sub-basins  

NASA Astrophysics Data System (ADS)

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 during the historical period, when feed with climate model data, were tested using descriptors of the Flow Duration Curves. The analyses of projected extreme values were carried out considering the nonstationarity of the GEV distribution parameters and compared with extremes events in present time. Results show inter-model variability in a broad dispersion on projected extreme's values. Such dispersion implies different degrees of socio-economic impacts associated to extreme hydrological events. Despite the no existence of one optimum result, this variability allows the analyses of adaptation strategies and its potential vulnerabilities.

Andres Rodriguez, Daniel; Garofolo, Lucas; Lázaro de Siqueira Júnior, José; Samprogna Mohor, Guilherme; Tomasella, Javier

2014-05-01

405

Combining physiological threshold knowledge to species distribution models is key to improving forecasts of the future niche for macroalgae.  

PubMed

Species distribution models (SDM) are a useful tool for predicting species range shifts in response to global warming. However, they do not explore the mechanisms underlying biological processes, making it difficult to predict shifts outside the environmental gradient where the model was trained. In this study, we combine correlative SDMs and knowledge on physiological limits to provide more robust predictions. The thermal thresholds obtained in growth and survival experiments were used as proxies of the fundamental niches of two foundational marine macrophytes. The geographic projections of these species' distributions obtained using these thresholds and existing SDMs were similar in areas where the species are either absent-rare or frequent and where their potential and realized niches match, reaching consensus predictions. The cold-temperate foundational seaweed Himanthalia elongata was predicted to become extinct at its southern limit in northern Spain in response to global warming, whereas the occupancy of southern-lusitanic Bifurcaria bifurcata was expected to increase. Combined approaches such as this one may also highlight geographic areas where models disagree potentially due to biotic factors. Physiological thresholds alone tended to over-predict species prevalence, as they cannot identify absences in climatic conditions within the species' range of physiological tolerance or at the optima. Although SDMs tended to have higher sensitivity than threshold models, they may include regressions that do not reflect causal mechanisms, constraining their predictive power. We present a simple example of how combining correlative and mechanistic knowledge provides a rapid way to gain insight into a species' niche resulting in consistent predictions and highlighting potential sources of uncertainty in forecasted responses to climate change. PMID:24917488

Martínez, Brezo; Arenas, Francisco; Trilla, Alba; Viejo, Rosa M; Carreño, Francisco

2015-04-01

406

A synopsis of test results and knowledge gained from the Phase-0 CSI evolutionary model  

NASA Technical Reports Server (NTRS)

The Phase-0 CSI Evolutionary Model (CEM) is a testbed for the study of space platform global line-of-sight (LOS) pointing. Now that the tests have been completed, a summary of hardware and closed-loop test experiences is necessary to insure a timely dissemination of the knowledge gained. The testbed is described and modeling experiences are presented followed by a summary of the research performed by various investigators. Some early lessons on implementing the closed-loop controllers are described with particular emphasis on real-time computing requirements. A summary of closed-loop studies and a synopsis of test results are presented. Plans for evolving the CEM from phase 0 to phases 1 and 2 are also described. Subsequently, a summary of knowledge gained from the design and testing of the Phase-0 CEM is made.

Belvin, W. Keith; Elliott, Kenny B.; Horta, Lucas G.

1993-01-01

407

Development of the NASA Digital Astronaut Project Muscle Model  

NASA Technical Reports Server (NTRS)

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.

Lewandowski, Beth E.; Pennline, James A.; Thompson, W. K.; Humphreys, B. T.; Ryder, J. W.; Ploutz-Snyder, L. L.; Mulugeta, L.

2015-01-01

408

Conceptual Model-Based Systems Biology: Mapping Knowledge and Discovering Gaps in the mRNA Transcription Cycle  

E-print Network

We propose a Conceptual Model-based Systems Biology framework for qualitative modeling, executing, and eliciting knowledge gaps in molecular biology systems. The framework is an adaptation of Object-Process Methodology ...

Dori, Dov

409

Anatomical knowledge gain through a clay-modeling exercise compared to live and video observations.  

PubMed

Clay modeling is increasingly used as a teaching method other than dissection. The haptic experience during clay modeling is supposed to correspond to the learning effect of manipulations during exercises in the dissection room involving tissues and organs. We questioned this assumption in two pretest-post-test experiments. In these experiments, the learning effects of clay modeling were compared to either live observations (Experiment I) or video observations (Experiment II) of the clay-modeling exercise. The effects of learning were measured with multiple choice questions, extended matching questions, and recognition of structures on illustrations of cross-sections. Analysis of covariance with pretest scores as the covariate was used to elaborate the results. Experiment I showed a significantly higher post-test score for the observers, whereas Experiment II showed a significantly higher post-test score for the clay modelers. This study shows that (1) students who perform clay-modeling exercises show less gain in anatomical knowledge than students who attentively observe the same exercise being carried out and (2) performing a clay-modeling exercise is better in anatomical knowledge gain compared to the study of a video of the recorded exercise. The most important learning effect seems to be the engagement in the exercise, focusing attention and stimulating time on task. PMID:24623632

Kooloos, Jan G M; Schepens-Franke, Annelieke N; Bergman, Esther M; Donders, Rogier A R T; Vorstenbosch, Marc A T M

2014-01-01

410

Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting.  

PubMed

Natural phenomena are multistationary and are composed of a number of interacting processes, so one single model handling all processes often suffers from inaccuracies. A solution is to partition data in relation to such processes using the available domain knowledge or expert judgment, to train separate models for each of the processes, and to merge them in a modular model (committee). In this paper a problem of water flow forecast in watershed hydrology is considered where the flow process can be presented as consisting of two subprocesses -- base flow and excess flow, so that these two processes can be separated. Several approaches to data separation techniques are studied. Two case studies with different forecast horizons are considered. Parameters of the algorithms responsible for data partitioning are optimized using genetic algorithms and global pattern search. It was found that modularization of ANN models using domain knowledge makes models more accurate, if compared with a global model trained on the whole data set, especially when forecast horizon (and hence the complexity of the modelled processes) is increased. PMID:17532609

Corzo, Gerald; Solomatine, Dimitri

2007-05-01

411

The Influence of Knowledge on Young People's Perceptions About Wildlife. Final Project Report to the National Wildlife Federation.  

ERIC Educational Resources Information Center

Knowledge about ecological concepts, about wildlife and about endangered and threatened species was measured using over 1,300 eighth graders in Broward County, Florida. Knowledge scores were correlated with attitudes, non-consumptive attitude orientations, demographic characteristics, level of animal activities, and other variables. Study results…

LaHart, David E.

412

Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model  

Microsoft Academic Search

\\u000a Matrix factorization techniques provide efficient tools for the detailed analysis of large-scale biological and biomedical\\u000a data. While underlying algorithms usually work fully blindly, we propose to incorporate prior knowledge encoded in a graph\\u000a model. This graph introduces a partial ordering in data without intrinsic (e.g. temporal or spatial) structure, which allows\\u000a the definition of a graph-autocorrelation function. Using this framework

Florian Blöchl; Andreas Kowarsch; Fabian J. Theis

2010-01-01

413

A knowledge model-based intelligent coordinative network platform for service robot system  

Microsoft Academic Search

This paper introduces a knowledge model-based intelligent coordinative network platform (K-ICNP) for service robot system. A service robot system is a kind of symbiotic autonomous human-robot system. It is comprised of various types of robots. Different features of these robots for various purposes always cause difficulty to implement their cooperative operations. Particularly, behaviours of robots in this system are required

Tao Zhang; Yun Yuan; Haruki Ueno

2007-01-01

414

Modeling of Intensity Priors for Knowledge-Based Level Set Algorithm in Calvarial Tumors Segmentation  

Microsoft Academic Search

\\u000a In this paper, an automatic knowledge-based framework for level set segmentation of 3D calvarial tumors from Computed Tomography\\u000a images is presented. Calvarial tumors can be located in both soft and bone tissue, occupying wide range of image intensities,\\u000a making automatic segmentation and computational modeling a challenging task. The objective of this study is to analyze and\\u000a validate different approaches in

Aleksandra Popovic; Ting Wu; Martin Engelhardt; Klaus Radermacher

2006-01-01

415

A regional climate modelling projection ensemble experiment - NARCliM  

NASA Astrophysics Data System (ADS)

Including the impacts of climate change in decision making and planning processes is a challenge facing many regional governments including the New South Wales (NSW) and Australian Capital Territory (ACT) governments in Australia. NARCliM (NSW/ACT Regional Climate Modelling project) is a regional climate modelling project that aims to provide a comprehensive and consistent set of climate projections that can be used by all relevant government departments when considering climate change. To maximise end user engagement and ensure outputs are relevant to the planning process, a series of stakeholder workshops were run to define key aspects of the model experiment including spatial resolution, time slices, and output variables. As with all such experiments, practical considerations limit the number of ensembles members that can be simulated such that choices must be made concerning which Global Climate Models (GCMs) to downscale from, and which Regional Climate Models (RCMs) to downscale with. Here a methodology for making these choices is proposed that aims to sample the uncertainty in both GCMs and RCMs, as well as spanning the range of future climate projections present in the full GCM ensemble. The created ensemble provides a more robust view of future regional climate changes.

Evans, J. P.; Ji, F.; Lee, C.; Smith, P.; Argüeso, D.; Fita, L.

2013-09-01

416

The Study on Stage Financing Model of IT Project Investment  

PubMed Central

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. PMID:25147845

Xu, Sheng-hua; Xiong, Neal N.

2014-01-01

417

The study on stage financing model of IT project investment.  

PubMed

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. PMID:25147845

Chen, Si-hua; Xu, Sheng-hua; Lee, Changhoon; Xiong, Neal N; He, Wei

2014-01-01

418

The Igliniit Project: Combining Inuit Knowledge and Geomatics Engineering to Develop a New Observation Tool for Hunters  

Microsoft Academic Search

\\u000a This chapter provides an overview of the Igliniit project, an International Polar Year (IPY) project that took place in Clyde\\u000a River, Nunavut, from 2006 to 2010. As part of the larger IPY projects, SIKU and ISIUOP, the Igliniit project brought Inuit\\u000a hunters and geomatics engineering students together to design, build, and test a tool to assist hunters in documenting their

Shari Gearheard; Gary Aipellee; Kyle O’Keefe

419

NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 9: Summary report to phase 3 faculty and student respondents including frequency distributions  

NASA Technical Reports Server (NTRS)

This project is designed to explore the diffusion of scientific and technical information (STI) throughout the aerospace industry. The increased international competition and cooperation in the industry promises to significantly affect the STI standards of U.S. aerospace engineers and scientists. Therefore, it is important to understand the aerospace knowledge diffusion process itself and its implications at the individual, organizational, national, and international levels. Examined here is the role of STI in the academic aerospace community.

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

1991-01-01

420

Towards the Development of a New Model for Best Practice and Knowledge Construction in Virtual Campuses  

ERIC Educational Resources Information Center

This paper reports on the work of a European Commission DG Education and Culture co-financed project PBP-VC, Promoting Best Practice in Virtual Campuses, which is aimed at providing a deeper understanding of the key issues and critical success factors underlying the implementation of virtual campuses. The paper outlines a tentative model of issues…

Cartelli, Antonio; Stansfield, Mark; Connolly, Thomas; Jimoyiannis, Athanassios; Magalhaes, Hugo; Maillet, Katherine

2008-01-01

421

An investigation of the impact of young children's self-knowledge of trustworthiness on school adjustment: a test of the realistic self-knowledge and positive illusion models.  

PubMed

The study aimed to examine the relationship between self-knowledge of trustworthiness and young children's school adjustment. One hundred and seventy-three (84 male and 89 female) children from school years 1 and 2 in the United Kingdom (mean age 6 years 2 months) were tested twice over 1-year. Children's trustworthiness was assessed using: (a) self-report at Time 1 and Time 2; (b) peers reports at Time 1 and Time 2; and (c) teacher-reports at Time 2. School adjustment was assessed by child-rated school-liking and the Short-Form Teacher Rating Scale of School Adjustment (Short-Form TRSSA). Longitudinal quadratic relationships were found between school adjustment and children's self-knowledge, using peer-reported trustworthiness as a reference: more accurate self-knowledge of trustworthiness predicted increases in school adjustment. Comparable concurrent quadratic relationships were found between teacher-rated school adjustment and children's self-knowledge, using teacher-reported trustworthiness as a reference, at Time 2. The findings support the conclusion that young children's psychosocial adjustment is best accounted for by the realistic self-knowledge model (Colvin & Block, 1994). PMID:19998538

Betts, Lucy R; Rotenberg, Ken J; Trueman, Mark

2009-06-01

422

The WHISK (Women's Health: Increasing the Awareness of Science and Knowledge) Pilot Project: Recognizing Sex and Gender Differences in Women's Health and Wellness  

PubMed Central

Women's health encompasses a continuum of biological, psychological, and social challenges that di?er considerably from those of men. Despite the remarkable advances in science, women's health and sex di?erences research is slowly gaining recognition and acceptance. It is important that women's health gain attention as women are usually the gatekeepers of care for the family. Women's health and health outcomes are strongly influenced by sex and gender di?erences as well as geography. Around the world, the interplay of biology and culture brings about di?erences in men's and women's health, which have been largely overlooked. The Women's Health: Increasing the Awareness of Science and Knowledge (WHISK) Pilot Project was a multidisciplinary project aimed to increase the awareness of sex and gender di?erences in women's health and research among healthcare professionals. Theater expression and creative art were used to translate knowledge, enhance understanding, and increase the awareness of sex di?erences. Findings from this project clearly showed an apparent increase in knowledge and cultivation of new insights. PMID:24416695

Dennis, Sabriya; Weaks, Francesca

2013-01-01

423

Accessing Curriculum Through Technology Tools (ACTTT): A Model Development Project  

ERIC Educational Resources Information Center

Accessing Curriculum Through Technology Tools (ACTTT), a project funded by the U.S. Office of Special Education Programs (OSEP), developed and tested a model designed to allow children in early elementary school, including those "at risk" and with disabilities, to better access, participate in, and benefit from the general curriculum. Children in…

Daytner, Katrina M.; Johanson, Joyce; Clark, Letha; Robinson, Linda

2012-01-01

424

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...

425

Energy Demand Modelling Introduction to the PhD project  

E-print Network

Energy Demand Modelling Introduction to the PhD project Erika Zvingilaite Risø DTU System Analysis for optimization of energy systems Environmental effects Global externalities cost of CO2 Future scenarios for the Nordic energy systems 2010, 2020, 2030, 2040, 2050 (energy-production, consumption, emissions, net costs

426

Building information modeling (BIM) approach to the GMT Project  

NASA Astrophysics Data System (ADS)

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.

Teran, Jose; Sheehan, Michael; Neff, Daniel H.; Adriaanse, David; Grigel, Eric; Farahani, Arash

2014-07-01

427

Student Success in College Composition through the Puente Project Model.  

ERIC Educational Resources Information Center

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 for…

Jaffe, Barbara

428

The Rivers Curriculum Project: A Cooperative Interdisciplinary Model.  

ERIC Educational Resources Information Center

Through the study of a river, secondary students can express themselves in many ways, including writing. The Rivers Curriculum Project provides a framework for students to study rivers through an integrated model and to share their work with other students throughout the river basin. (LZ)

Willams, Robert; And Others

1994-01-01

429

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...

430

Student Project Business Process Modeling Using ebXML  

E-print Network

XML?.............................................................................................. 13 2.2. Electronic Business Collaboration to Negotiate, Evaluate, and Execute Electronic Business Processes... 37 3.1. Four-Layer Electronic BusinessStudent Project Business Process Modeling Using ebXML: Case Study Aivaras Pigaga Matr. Nr.: 20726

431

Predicting Flu Season Requirements: An Undergraduate Modeling Project  

ERIC Educational Resources Information Center

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…

Kramlich, Gary R., II; Braunstein Fierson, Janet L.; Wright, J. Adam

2010-01-01

432

Project Physics Text 5, Models of the Atom.  

ERIC Educational Resources Information Center

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…

Harvard Univ., Cambridge, MA. Harvard Project Physics.

433

Further thoughts on simplicity and complexity in population projection models  

Microsoft Academic Search

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

Stanley K. Smith

1997-01-01

434

Business/Education Partnerships in South Carolina. Model Projects.  

ERIC Educational Resources Information Center

This report describes 38 model school-business partnerships that are being conducted in South Carolina. The 38 reports were gathered from 24 school districts and 3 statewide projects. Criteria for selection were that the partnerships must be in some way exemplary of the program and the school district must have reported in some detail their…

South Carolina State Dept. of Education, Columbia. Div. of Public Accountability.

435

Using Hybrid Bayesian Networks to Model Dependent Project Scheduling Networks  

Microsoft Academic Search

In this paper, we explore the use of exact inference in hybrid Bayesian networks to compute the exact marginal distribution of project completion time. Activities durations can have any distribution, and may not be all independent. We model dependence between activities using a Bayesian network, approximate non-Gaussian conditional distributions by mixtures of Gaussians, and reduce the resulting hybrid Bayesian network

Junwen Mo; Zhe Zhao

2008-01-01

436

Time-line based model for software project scheduling  

E-print Network

Time-line based model for software project scheduling with genetic algorithmswith genetic approach [Annals of SE, 2001] · Enabling more fine-grained allocation using time-lines ­ By breaking down in an atomic wayExecution of tasks in an atomic way · Interruption of task execution is not allowed ­ A new

Bae, Doo-Hwan

437

Project Physics Tests 5, Models of the Atom.  

ERIC Educational Resources Information Center

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,…

Harvard Univ., Cambridge, MA. Harvard Project Physics.

438

Modeling studies for planning: The Green Bay project  

SciTech Connect

A major contaminant monitoring and modeling study is underway for Green Bay, Lake Michigan. Monitoring programs in support of contaminant modeling of large waterbodies, such as for Green Bay, are expensive and their extent is often limited by budget limitations, laboratory capacity, and logistic constraints. Physical/chemical and food chain models were applied using historical data to aid in project planning by identifying processes having the greatest impact on the predictive capability of mass balance models. Studies were also conducted to estimate errors in computed tributary loadings and in-Bay concentrations and contaminant mass associated with different sampling strategies.

Martin, J.L.; Richardson, W.L.; McCutcheon, S.C.

1991-06-01

439

The simulation model of teleradiology in telemedicine project.  

PubMed

Telemedicine projects are aimed at offering medical services to people who do not have access to direct diagnosis and treatment services. As a powerful tool for analyzing the performance of complex systems and taking probable events into consideration, systemic simulation can facilitate the analysis of implementation processes of telemedicine projects in real-life-like situations. The aim of the present study was to propose a model for planning resource capacities and allocating human and operational resources to promote the efficiency of telemedicine project by investigating the process of teleradiology. In this article, after verification of the conceptual model by the experts of this field, the computerized simulation model is developed using simulation software Arena. After specifying the required data, different improvement scenarios are run using the computerized model by feeding the data into the software and validation and verification of the model. Fixing input data of the system such as the number of patients, their waiting time, and process time of each function, for example, magnetic resonance imaging or scan, has been compared with the current radiology process. Implementing the teleradiology model resulted in reduction of time of patients in the system (current: 1.84 ± 0.00, tele: 0.81 ± 0.00). Furthermore, through this process, they can allocate the lower resources to perform better functions of staff. The use of computerized simulation is essential for designing processes, optimal allocation of resources, planning, and making appropriate decisions for providing timely services to patients. PMID:25627857

Goodini, Azadeh; Torabi, Mashallah; Goodarzi, Maryam; Safdari, Reza; Darayi, Mohamad; Tavassoli, Mahdieh; Shabani, MohammadMehdi

2015-01-01

440

Robust automated knowledge capture.  

SciTech Connect

This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

2011-10-01

441

Process Consistency in Models: the Importance of System Signatures, Expert Knowledge and Process Complexity  

NASA Astrophysics Data System (ADS)

Hydrological models are frequently characterized by what is often considered to be adequate calibration performances. In many cases, however, these models experience a substantial uncertainty and performance decrease in validation periods, thus resulting in poor predictive power. Besides the likely presence of data errors, this observation can point towards wrong or insufficient representations of the underlying processes and their heterogeneity. In other words, right results are generated for the wrong reasons. Thus ways are sought to increase model consistency and to thereby satisfy the contrasting priorities of the need a) to increase model complexity and b) to limit model equifinality. In this study a stepwise model development approach is chosen to test the value of an exhaustive and systematic combined use of hydrological signatures, expert knowledge and readily available, yet anecdotal and rarely exploited, hydrological information for increasing model consistency towards generating the right answer for the right reasons. A simple 3-box, 7 parameter, conceptual HBV-type model, constrained by 4 calibration objective functions was able to adequately reproduce the hydrograph with comparatively high values for the 4 objective functions in the 5-year calibration period. However, closer inspection of the results showed a dramatic decrease of model performance in the 5-year validation period. In addition, assessing the model's skill to reproduce a range of 20 hydrological signatures including, amongst others, the flow duration curve, the autocorrelation function and the rising limb density, showed that it could not adequately reproduce the vast majority of these signatures, indicating a lack of model consistency. Subsequently model complexity was increased in a stepwise way to allow for more process heterogeneity. To limit model equifinality, increase in complexity was counter-balanced by a stepwise application of "realism constraints", inferred from expert knowledge (e.g. unsaturated storage capacity of hillslopes should exceed the one of wetlands) and anecdotal hydrological information (e.g. long-term estimates of actual evaporation obtained from the Budyko framework and long-term estimates of baseflow contribution) to ensure that the model is well behaved with respect to the modeller's perception of the system. A total of 11 model set-ups with increased complexity and an increased number of realism constraints was tested. It could be shown that in spite of largely unchanged calibration performance, compared to the simplest set-up, the most complex model set-up (12 parameters, 8 constraints) exhibited significantly increased performance in the validation period while uncertainty did not increase. In addition, the most complex model was characterized by a substantially increased skill to reproduce all 20 signatures, indicating a more suitable representation of the system. The results suggest that a model, "well" constrained by 4 calibration objective functions may still be an inadequate representation of the system and that increasing model complexity, if counter-balanced by realism constraints, can indeed increase predictive performance of a model and its skill to reproduce a range of hydrological signatures, but that it does not necessarily result in increased uncertainty. The results also strongly illustrate the need to move away from automated model calibration towards a more general expert-knowledge driven strategy of constraining models if a certain level of model consistency is to be achieved.

Hrachowitz, Markus; Fovet, Ophelie; Ruiz, Laurent; Gascuel-Odoux, Chantal; Savenije, Hubert

2014-05-01

442

Research of the Model for Identifying Knowledge Lack of Employees Based on Bayesian Decision  

Microsoft Academic Search

The importance of employees' knowledge training in enterprise management was expatiated, and the deficiencies of employees' knowledge training management were pointed out firstly. On the base of above, it was figured out that, the knowledge lack of employees must be understood through analyzing the employees' knowledge requirements firstly if enterprise carries out knowledge training effectively. The decision-making method to recognize

Cheng Junmo; Li Yumei

2009-01-01

443

Telep@b Project: Towards a Model for eParticipation and a Case Study in Participatory Budgeting  

NASA Astrophysics Data System (ADS)

eParticipation concerns the use of ICT tools for facilitating the two-way communication between governments and citizens. Designing eParticipation activities is a complex task. Challenges include the need of interdisciplinary expertise and knowledge (for example, political, sociology, usability and technology domains) and the lack of widely accepted models and standards. This paper attempts to provide a model for eParticipation, aiming at providing guidelines for the design, implementation and management of eParticipation applications. This model has been put into practice for the design of an eParticipation portal in the framework of the Telep@b project. We also report on the experimental use of the portal services in a group of Tuscany municipalities for supporting participatory budget activities and future activities in a follow-on project (PAAS_Telep@b project).

Paganelli, Federica; Giuli, Dino

444

Bayseian genomic models for the incorporation of pathway topology knowledge into association studies.  

PubMed

Pathway topology and relationships between genes have the potential to provide information for modeling effects of mRNA gene expression on complex traits. For example, researchers may wish to incorporate the prior belief that "hub" genes (genes with many neighbors) are more likely to influence the trait. In this paper, we propose and compare six Bayesian pathway-based prior models to incorporate pathway topology information into association analyses. Including prior information regarding the relationships among genes in a pathway was effective in somewhat improving detection rates for genes associated with complex traits. Through an extensive set of simulations, we found that when hub (central) effects are expected, the diagonal degree model is preferred; when spoke (edge) effects are expected, the spatial power model is preferred. When there is no prior knowledge about the location of the effect genes in the pathway (e.g., hub versus spoke model), it is worthwhile to apply multiple models, as the model with the best DIC is not always the one with the best detection rate. We also applied the models to pharmacogenomic studies for the drugs gemcitabine and 6-mercaptopurine and found that the diagonal degree model identified an association between 6-mercaptopurine response and expression of the gene SLC28A3, which was not detectable using the model including no pathway information. These results demonstrate the value of incorporating pathway information into association analyses. PMID:23934611

Brisbin, Abra; Fridley, Brooke L

2013-08-01

445

Projective symmetry of partons in the Kitaev honeycomb model  

NASA Astrophysics Data System (ADS)

Low-energy states of quantum spin liquids are thought to involve partons living in a gauge-field background. We study the spectrum of Majorana fermions of the Kitaev honeycomb model on spherical clusters. The gauge field endows the partons with half-integer orbital angular momenta. As a consequence, the multiplicities do not reflect the point-group symmetries of the cluster, but rather its projective symmetries, operations combining physical and gauge transformations. The projective symmetry group of the ground state is the double cover of the point group.

Mellado, Paula; Petrova, Olga; Tchernyshyov, Oleg

2015-01-01

446

Influence of Constructivist Professional Development on Chemistry Content Knowledge and Scientific Model Development  

NASA Astrophysics Data System (ADS)

The purpose of this study was to explore the relationship between teachers’ ( N = 69) participation in constructivist chemistry professional development (PD) and enhancement of content (CK) and pedagogical content knowledge (PCK) (representational thinking and conceptual change strategies) and self-efficacy (PSTE). Quantitative measures assessed CK, PCK, and PSTE. Document analysis focused on PCK. Elementary teachers gained CK, PCK, PSTE, and designed lessons to advance thinking from macroscopic to abstract models. Middle/secondary teachers gained PSTE, PCK, and introduced macroscopic models to develop understanding of previously taught abstract models. All implemented representational thinking and conceptual change strategies. Results suggest that: (1) constructivist PD meets the needs of teachers of varying CK, and (2) instruction should connect representational models with alternative conceptions, integrating radical and social constructivism.

Khourey-Bowers, Claudia; Fenk, Christopher

2009-10-01

447

NASA/DOD Aerospace Knowledge Diffusion Research Project. Report No. 36: The Technical Communications Practices of US Aerospace Engineers and Scientists: Results of the Phase 1 NASA Langley Research Center Mail Survey  

NASA Technical Reports Server (NTRS)

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 were assigned to the Research and Technology Group (RTG) at the NASA Langley Research Center in September 1995.

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

1995-01-01

448

NASA/DOD Aerospace Knowledge Diffusion Research Project. Report number 20: The use of selected information products and services by US aerospace engineers and scientists: Results of two surveys  

NASA Technical Reports Server (NTRS)

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 two surveys 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 aerospace knowledge diffusion focusing on the role of the industry-affiliated information intermediary.

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

1994-01-01

449

NASA/DoD Aerospace Knowledge Diffusion Research Project: Report 43: The Technical Communication Practices of U.S. Aerospace Engineers and Scientists: Results of the Phase 1 Mail Survey -- Manufacturing and Production Perspective  

NASA Technical Reports Server (NTRS)

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 communication practices of U.S. aerospace engineers and scientists who were members of the Society of Manufacturing Engineers.

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

1996-01-01

450

NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 25: The technical communications practices of British aerospace engineers and scientists: Results of the phase 4 RAeS mail survey  

NASA Technical Reports Server (NTRS)

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 British aerospace engineers and scientists.

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

1994-01-01

451

Projection-based Model Reduction of Unconfined Groundwater Systems  

NASA Astrophysics Data System (ADS)

Groundwater management is enhanced by the development and implementation of mathematical models to evaluate the effects on an aquifer system of various management actions. These evaluations often require a large number of simulations to conduct advanced analyses such as optimization of pumping schedules. Such analyses are intractable for complex, highly-discretized, or regional-scale models with large computational requirements. Therefore, reducing the computational burden associated with these models will provide opportunities for the application of optimization tools and other advanced analyses to a wider spectrum of groundwater management problems. Projection-based model reduction techniques have been shown to be very effective for reducing the computational burden of large-scale simulations. This type of model reduction involves construction of a projection matrix that is used to reduce the state dimensionality of a model by applying principal component analysis (PCA) to identify the components of the original model that have the largest impact on its output. It is also referred to as Proper Orthogonal Decomposition (POD). The projection-based reduction technique preserves the underlying physics of the system and removes components that do not provide significant information to the simulation. Previous researchers have reduced the dimensionality of the confined groundwater equation by three orders of magnitude using POD. To date, POD has only been applied to linear models such as the confined groundwater equation. A novel approach is proposed in this paper that combines the Newton formulation of the unconfined groundwater equation with a projection-based model reduction technique similar to POD. The proposed methodology is applied to the Newton formulation of MODFLOW (MODFLOW-NWT). We first validate the proposed methodology on a 1-D, unconfined MODFLOW-NWT model that solves 100 equations per time step (100-node model) and produced equivalent results by solving 10 equations per time step. We then apply the methodology to a 3-D, unconfined MODFLOW-NWT model. The original full-scale model with 500,000 nodes is reduced to 100 nodes, with about 1% error.

Nishikawa, T.; Boyce, S. E.; Yeh, W.

2013-12-01

452

MATH 360: Project 5, Modeling of a single species population This project is due Friday 5th December.  

E-print Network

MATH 360: Project 5, Modeling of a single species population This project is due Friday 5th December. Background: In this project, we will study a fish population in a lake. By setting up a differential equation, we will investigate the dynamics of this population and show that the population

Fletcher, Alastair

453

The Development Model of Knowledge Management via Web-Based Learning to Enhance Pre-Service Teacher's Competency  

ERIC Educational Resources Information Center

This research explores that the model of knowledge management and web technology for teachers' professional development as well as its impact in the classroom on learning and teaching, especially in pre-service teacher's competency and practices that refer to knowledge creating, analyzing, nurturing, disseminating, and optimizing process as part…

Rampai, Nattaphon; Sopeerak, Saroch

2011-01-01

454

A Conceptual Knowledge-link model for supporting Dental Implant Anderson Luis Szejka1,2,a  

E-print Network

A Conceptual Knowledge-link model for supporting Dental Implant Process Anderson Luis Szejka1,2,a.rudek@pucpr.br, dherve.panetto@univ-lorraine.fr. Keywords: Knowledge-link. Medical Image Processing. Dental Implant visualization of CT images to define the parameters for dental implant process leaving to the dentist discretion

Boyer, Edmond

455

Team Knowledge Sharing Intervention Effects On Team Shared Mental Models And Team Performance In An Undergraduate Meteorology Course  

Microsoft Academic Search

Shared mental models (SMM) are defined as “knowledge structure(s) held by each member of a team that enables them to form accurate explanations and expectations for the [team and task], and in turn, to coordinate their actions and adapt their behavior to demands of the task and other team members”(Cannon-Bowers, Salas, & Converse, 1993, p. 228). Team member knowledge and

Eric Glen Sikorski

2009-01-01

456

Edge Theories in Projected Entangled Pair State Models  

NASA Astrophysics Data System (ADS)

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.

Yang, S.; Lehman, L.; Poilblanc, D.; Van Acoleyen, K.; Verstraete, F.; Cirac, J. I.; Schuch, N.

2014-01-01

457

Projection-based model reduction for contact problems  

E-print Network

Large scale finite element analysis requires model order reduction for computationally expensive applications such as optimization, parametric studies and control design. Although model reduction for nonlinear problems is an active area of research, a major hurdle is modeling and approximating contact problems. This manuscript introduces a projection-based model reduction approach for static and dynamic contact problems. In this approach, non-negative matrix factorization is utilized to optimally compress and strongly enforce positivity of contact forces in training simulation snapshots. Moreover, a greedy algorithm coupled with an error indicator is developed to efficiently construct parametrically robust low-order models. The proposed approach is successfully demonstrated for the model reduction of several two-dimensional elliptic and hyperbolic obstacle and self contact problems.

Balajewicz, Maciej; Farhat, Charbel

2015-01-01

458

Human dimension in scientific models in high-mountain climate change and risk projects: Peruvian-Swiss experiences  

NASA Astrophysics Data System (ADS)

Models in a range of scientific disciplines are increasingly seen as indispensable for successful adaptation. Governments as well as international organizations and cooperations put their efforts in basing their adaptation projects on scientific results. Thereby, it is critical that scientific models are first put into the particular context in which they will be applied. This paper addresses the experience of the project 'Glaciers 513- Climate change adaptation and disaster risk management for glacier retreat in the Andes' conducted in the districts of Carhuaz (Ancash region) and Santa Teresa (Cusco region) in Peru. The Peruvian and the Swiss governments put their joint efforts in an adaptation project in the context of climate change and the retreat of the glaciers. The project is led by a consortium of Care Peru and the University of Zurich with additional Swiss partners and its principal aim is to improve the capacity for integral adaptation and reduce the risk of disasters from glaciers and high-mountain areas, and effects of climate change, particularly in the regions of Cusco and Ancash. The paper shows how the so called "human dimension" on the one hand, and models from a range of disciplines, including climatology, glaciology, and hydrology on the other hand, were conceptualized and perceived by the different actors involved in the project. Important aspects have been, among others, the role of local knowledge including ancestral knowledge, demographic information, socio-economic indicators as well as the social, political and cultural framework and the historical background. Here we analyze the role and context of local knowledge and the historical background. The analysis of the implications of the differences and similarities of the perceptions of a range of actors contributes to the discussion about how, and to what extent scientific models can be contextualized, what kind of information can be helpful for the contextualization and how it can be obtained. The results, thus, should contribute to more concerted, locally based and accepted risk and adaptation measures.

Vicuña, Luis; Jurt, Christine; Minan, Fiorella; Huggel, Christian

2014-05-01

459

77 FR 34363 - Disability and Rehabilitation Research Projects and Centers Program; Traumatic Brain Injury Model...  

Federal Register 2010, 2011, 2012, 2013, 2014

...Projects and Centers Program; Traumatic Brain Injury Model Systems Centers AGENCY: Office...Research Project (DRRP)-- Traumatic Brain Injury Model Systems Centers. SUMMARY...notice announces a priority for Traumatic Brain Injury Model Systems (TBIMS)...

2012-06-11

460

Knowledge Discovery Nuggets Directory  

NSDL National Science Digital Library

Knowledge Discovery Nuggets is both a web site and an associated newsletter. The newsletter focuses on the latest research, new applications, conference announcements, and news about data mining and knowledge discovery. The web site offers a large index of categorized pointers to data mining and knowledge discovery software, informative reference materials, related research projects, data sets, and much more. While somewhat difficult to navigate, Knowledge Discovery Nuggets offers an excellent place to start a data mining or knowledge discovery related search.

461

The Alpha Project, a model system for systems biology research  

PubMed Central

One goal of systems biology is to understand how genome-encoded parts interact to produce quantitative phenotypes. The Alpha Project is a medium-scale, interdisciplinary systems biology effort that aims to achieve this goal by understanding fundamental quantitative behaviors of a prototypic signal transduction pathway, the yeast pheromone response system from Saccharomyces cerevisiae. The Alpha Project distinguishes itself from many other systems biology projects by studying a tightly-bounded and well-characterized system that is easily modified by genetic means, and by focusing on deep understanding of a discrete number of important and accessible quantitative behaviors. During the project, we have developed tools to measure the appropriate data and develop models at appropriate levels of detail for studying a number of these quantitative behaviors. We also have developed transportable experimental tools and conceptual frameworks for understanding other signaling systems. In particular, we have begun to interpret system behaviors and their underlying molecular mechanisms through the lens of information transmission, a principal function of signaling systems. The Alpha Project demonstrates that interdisciplinary studies that identify key quantitative behaviors and measure important quantities, in the context of well-articulated abstractions of system function and appropriate analytical frameworks, can lead to deeper biological understanding. Our experience may provide a productive template for system biology investigations of other cellular systems. PMID:19045818

Yu, Richard C.; Resnekov, Orna; Abola, A. Pia; Andrews, Steve S.; Benjamin, Kirsten R.; Bruck, Jehoshua; Burbulis, Ian; Colman-Lerner, Alejandro; Endy, Drew; Gordon, Andrew; Holl, Mark; Lok, Larry; Pesce, Gustavo; Serra, Eduard; Smith, Richard D.; Thomson, Ty M.; Tsong, Annie E.; Brent, Roger

2009-01-01

462

Integral projection models for species with complex demography.  

PubMed

Matrix projection models occupy a central role in population and conservation biology. Matrix models divide a population into discrete classes, even if the structuring trait exhibits continuous variation (e.g., body size). The integral projection model (IPM) avoids discrete classes and potential artifacts from arbitrary class divisions, facilitates parsimonious modeling based on smooth relationships between individual state and demographic performance, and can be implemented with standard matrix software. Here, we extend the IPM to species with complex demographic attributes, including dormant and active life stages, cross-classification by several attributes (e.g., size, age, and condition), and changes between discrete and continuous structure over the life cycle. We present a general model encompassing these cases, numerical methods, and theoretical results, including stable population growth and sensitivity/elasticity analysis for density-independent models, local stability analysis in density-dependent models, and optimal/evolutionarily stable strategy life-history analysis. Our presentation centers on an IPM for the thistle Onopordum illyricum based on a 6-year field study. Flowering and death probabilities are size and age dependent, and individuals also vary in a latent attribute affecting survival, but a predictively accurate IPM is completely parameterized by fitting a few regression equations. The online edition of the American Naturalist includes a zip archive of R scripts illustrating our suggested methods.A zip archive of R scripts illustrating our suggested methods is also provided. PMID:16673349

Ellner, Stephen P; Rees, Mark

2006-03-01

463

UnCommon Knowledge: Projects That Help Middle-School-Age Youth Discover the Science and Mathematics in Everyday Life. Volume One: Hands-On Science Projects.  

ERIC Educational Resources Information Center

This guide contains hands-on science activities to connect middle-school students to the traditional knowledge of their grandparents and elders. Because girls often lose interest in science at the middle-school level, and because women in some communities (especially in rural areas) are seldom involved in work with an obvious science basis, the…

Carter, Carolyn S.; Keyes, Marian; Kusimo, Patricia S.; Lunsford, Crystal

464

Pataha Creek Model Watershed : 1999 Habitat Conservation Projects.  

SciTech Connect

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.

Bartels, Duane G.

2000-10-01

465

On Combining Multi-formalism Knowledge to Select Models for Model Transformation Testing  

E-print Network

Modeling Language Class Diagram to Relational Database Management Systems transformation as a run- ning example. 1. Introduction Model Driven Engineering(MDE) is grounded on the idea of representing models of software systems at differ- ent levels of abstraction using various modelling languages. Programs

Paris-Sud XI, Université de

466

A prototype natural language interface to a large complex knowledge base, the Foundational Model of Anatomy.  

PubMed

We describe a constrained natural language interface to a large knowledge base, the Foundational Model of Anatomy (FMA). The interface, called GAPP, handles simple or nested questions that can be parsed to the form, subject-relation-object, where subject or object is unknown. With the aid of domain-specific dictionaries the parsed sentence is converted to queries in the StruQL graph-searching query language, then sent to a server we developed, called OQAFMA, that queries the FMA and returns output as XML. Preliminary evaluation shows that GAPP has the potential to be used in the evaluation of the FMA by domain experts in anatomy. PMID:14728162

Distelhorst, Gregory; Srivastava, Vishrut; Rosse, Cornelius; Brinkley, James F

2003-01-01

467

Fine Scale Projections of Indian Monsoonal Rainfall Using Statistical Models  

NASA Astrophysics Data System (ADS)

General Circulation models (GCMs) simulate climate variables globally accounting for the effects of green house emission; however, they mostly work in coarse resolutions and hence their performances for simulations of precipitation are not always reliable. To overcome this limitation we are using statistical techniques as downscaling methods for projecting precipitation as finer resolution (25 km grid approximately, 0.22° latitude x 0.22° longitude). Here we use conventional statistical downscaling where the relationship between predictor climate variables (other than precipitation) and precipitation are determined