NASA Astrophysics Data System (ADS)
Utanto, Yuli; Widhanarto, Ghanis Putra; Maretta, Yoris Adi
2017-03-01
This study aims to develop a web-based portfolio model. The model developed in this study could reveal the effectiveness of the new model in experiments conducted at research respondents in the department of curriculum and educational technology FIP Unnes. In particular, the further research objectives to be achieved through this development of research, namely: (1) Describing the process of implementing a portfolio in a web-based model; (2) Assessing the effectiveness of web-based portfolio model for the final task, especially in Web-Based Learning courses. This type of research is the development of research Borg and Gall (2008: 589) says "educational research and development (R & D) is a process used to develop and validate educational production". The series of research and development carried out starting with exploration and conceptual studies, followed by testing and evaluation, and also implementation. For the data analysis, the technique used is simple descriptive analysis, analysis of learning completeness, which then followed by prerequisite test for normality and homogeneity to do T - test. Based on the data analysis, it was concluded that: (1) a web-based portfolio model can be applied to learning process in higher education; (2) The effectiveness of web-based portfolio model with field data from the respondents of large group trial participants (field trial), the number of respondents who reached mastery learning (a score of 60 and above) were 24 people (92.3%) in which it indicates that the web-based portfolio model is effective. The conclusion of this study is that a web-based portfolio model is effective. The implications of the research development of this model, the next researcher is expected to be able to use the guideline of the development model based on the research that has already been conducted to be developed on other subjects.
AGENT-BASED MODELS IN EMPIRICAL SOCIAL RESEARCH*
Bruch, Elizabeth; Atwell, Jon
2014-01-01
Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first discuss the motivations for using agent-based models in both basic science and policy-oriented social research. Next, we provide an overview of methods and strategies for incorporating data on behavior and populations into agent-based models, and review techniques for validating and testing the sensitivity of agent-based models. We close with suggested directions for future research. PMID:25983351
Promoting Evidence-Based Practice: Models and Mechanisms from Cross-Sector Review
ERIC Educational Resources Information Center
Nutley, Sandra; Walter, Isabel; Davies, Huw T. O.
2009-01-01
This article draws on both a cross-sector literature review of mechanisms to promote evidence-based practice and a specific review of ways of improving research use in social care. At the heart of the article is a discussion of three models of evidence-based practice: the research-based practitioner model, the embedded research model, and the…
Neuman systems model-based research: an integrative review project.
Fawcett, J; Giangrande, S K
2001-07-01
The project integrated Neuman systems model-based research literature. Two hundred published studies were located. This article is limited to the 59 full journal articles and 3 book chapters identified. A total of 37% focused on prevention interventions; 21% on perception of stressors; and 10% on stressor reactions. Only 50% of the reports explicitly linked the model with the study variables, and 61% did not include conclusions regarding model utility or credibility. No programs of research were identified. Academic courses and continuing education workshops are needed to help researchers design programs of Neuman systems model-based research and better explicate linkages between the model and the research.
ERIC Educational Resources Information Center
Idawati; Mahmud, Alimuddin; Dirawan, Gufran Darma
2016-01-01
The purpose of this research was to determine the effectiveness of a training model for capacity building of women entrepreneurship community-based. Research type approach Research and Development Model, which refers to the model of development research that developed by Romiszowki (1996) combined with a model of development Sugiono (2011) it was…
Model-Based Learning: A Synthesis of Theory and Research
ERIC Educational Resources Information Center
Seel, Norbert M.
2017-01-01
This article provides a review of theoretical approaches to model-based learning and related research. In accordance with the definition of model-based learning as an acquisition and utilization of mental models by learners, the first section centers on mental model theory. In accordance with epistemology of modeling the issues of semantics,…
[The role of research-based evidence in health system policy decision-making].
Patiño, Daniel; Lavis, John N; Moat, Kaelan
2013-01-01
Different models may be used for explaining how research-based evidence is used in healthcare system policy-making. It is argued that models arising from a clinical setting (i.e. evidence-based policy-making model) could be useful regarding some types of healthcare system decision-making. However, such models are "silent" concerning the influence of political contextual factors on healthcare policy-making and are thus inconsistent with decision-making regarding the modification of healthcare system arrangements. Other political science-based models would seem to be more useful for understanding that research is just one factor affecting decision-making and that different types of research-based evidence can be used instrumentally, conceptual or strategically during different policy-making stages.
Friberg, Febe; Lyckhage, Elisabeth Dahlborg
2013-01-01
This article describes the development of literature-based models for bachelor degree essays in Swedish undergraduate nursing education. Students' experiences in a course with literature-based models for bachelor degree essays are discussed. The ever-growing body of nursing research and specialized and complex health care practices make great demands on nursing education in terms of preparing students to be both skilled practitioners and users of research. Teaching to help students understand evidence-based practice is a challenge for nursing education. Action research was used to generate knowledge of and practical solutions to problems in everyday locations. Six models were developed: concept analysis, contributing to evidence-based nursing by means of quantitative research, contributing to evidence-based nursing by means of qualitative research, discourse analysis, analysis of narratives, and literature review. Action research was found to be a relevant procedure for changing ways of working with literature-based, bachelor degree essays. The models that were developed increased students' confidence in writing essays and preparedness for the nursing role.
Modeling Research Project Risks with Fuzzy Maps
ERIC Educational Resources Information Center
Bodea, Constanta Nicoleta; Dascalu, Mariana Iuliana
2009-01-01
The authors propose a risks evaluation model for research projects. The model is based on fuzzy inference. The knowledge base for fuzzy process is built with a causal and cognitive map of risks. The map was especially developed for research projects, taken into account their typical lifecycle. The model was applied to an e-testing research…
ERIC Educational Resources Information Center
Shroff, Ronnie H.; Deneen, Christopher
2011-01-01
This paper assesses textual feedback to support student intrinsic motivation using a collaborative text-based dialogue system. A research model is presented based on research into intrinsic motivation, and the specific construct of feedback provides a framework for the model. A qualitative research methodology is used to validate the model.…
Brief introductory guide to agent-based modeling and an illustration from urban health research.
Auchincloss, Amy H; Garcia, Leandro Martin Totaro
2015-11-01
There is growing interest among urban health researchers in addressing complex problems using conceptual and computation models from the field of complex systems. Agent-based modeling (ABM) is one computational modeling tool that has received a lot of interest. However, many researchers remain unfamiliar with developing and carrying out an ABM, hindering the understanding and application of it. This paper first presents a brief introductory guide to carrying out a simple agent-based model. Then, the method is illustrated by discussing a previously developed agent-based model, which explored inequalities in diet in the context of urban residential segregation.
Brief introductory guide to agent-based modeling and an illustration from urban health research
Auchincloss, Amy H.; Garcia, Leandro Martin Totaro
2017-01-01
There is growing interest among urban health researchers in addressing complex problems using conceptual and computation models from the field of complex systems. Agent-based modeling (ABM) is one computational modeling tool that has received a lot of interest. However, many researchers remain unfamiliar with developing and carrying out an ABM, hindering the understanding and application of it. This paper first presents a brief introductory guide to carrying out a simple agent-based model. Then, the method is illustrated by discussing a previously developed agent-based model, which explored inequalities in diet in the context of urban residential segregation. PMID:26648364
The Effectiveness of Project Based Learning in Trigonometry
NASA Astrophysics Data System (ADS)
Gerhana, M. T. C.; Mardiyana, M.; Pramudya, I.
2017-09-01
This research aimed to explore the effectiveness of Project-Based Learning (PjBL) with scientific approach viewed from interpersonal intelligence toward students’ achievement learning in mathematics. This research employed quasi experimental research. The subjects of this research were grade X MIPA students in Sleman Yogyakarta. The result of the research showed that project-based learning model is more effective to generate students’ mathematics learning achievement that classical model with scientific approach. This is because in PjBL model students are more able to think actively and creatively. Students are faced with a pleasant atmosphere to solve a problem in everyday life. The use of project-based learning model is expected to be the choice of teachers to improve mathematics education.
Assessment of Energy Efficient and Model Based Control
2017-06-15
ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig Lennon...originator. ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig...
ERIC Educational Resources Information Center
Arslan Buyruk, Arzu; Ogan Bekiroglu, Feral
2018-01-01
The focus of this study was to evaluate the impact of model-based inquiry on pre-service physics teachers' conceptual understanding of dynamics. Theoretical framework of this research was based on models-of-data theory. True-experimental design using quantitative and qualitative research methods was carried out for this research. Participants of…
Cycles of Exploration, Reflection, and Consolidation in Model-Based Learning of Genetics
ERIC Educational Resources Information Center
Kim, Beaumie; Pathak, Suneeta A.; Jacobson, Michael J.; Zhang, Baohui; Gobert, Janice D.
2015-01-01
Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, "BioLogica"™, was used to facilitate genetics learning in secondary 3-level biology in Singapore. The research team co-designed…
Alternative Model for Administration and Analysis of Research-Based Assessments
ERIC Educational Resources Information Center
Wilcox, Bethany R.; Zwickl, Benjamin M.; Hobbs, Robert D.; Aiken, John M.; Welch, Nathan M.; Lewandowski, H. J.
2016-01-01
Research-based assessments represent a valuable tool for both instructors and researchers interested in improving undergraduate physics education. However, the historical model for disseminating and propagating conceptual and attitudinal assessments developed by the physics education research (PER) community has not resulted in widespread adoption…
Teacher Evaluation Models: Compliance or Growth Oriented?
ERIC Educational Resources Information Center
Clenchy, Kelly R.
2017-01-01
This research study reviewed literature specific to the evolution of teacher evaluation models and explored the effectiveness of standards-based evaluation models' potential to facilitate professional growth. The researcher employed descriptive phenomenology to conduct a study of teachers' perceptions of a standard-based evaluation model's…
Test Platforms for Model-Based Flight Research
NASA Astrophysics Data System (ADS)
Dorobantu, Andrei
Demonstrating the reliability of flight control algorithms is critical to integrating unmanned aircraft systems into the civilian airspace. For many potential applications, design and certification of these algorithms will rely heavily on mathematical models of the aircraft dynamics. Therefore, the aerospace community must develop flight test platforms to support the advancement of model-based techniques. The University of Minnesota has developed a test platform dedicated to model-based flight research for unmanned aircraft systems. This thesis provides an overview of the test platform and its research activities in the areas of system identification, model validation, and closed-loop control for small unmanned aircraft.
ERIC Educational Resources Information Center
Lakonpol, Thongmee; Ruangsuwan, Chaiyot; Terdtoon, Pradit
2015-01-01
This research aimed to develop a web-based learning environment model for enhancing cognitive skills of undergraduate students in the field of electrical engineering. The research is divided into 4 phases: 1) investigating the current status and requirements of web-based learning environment models. 2) developing a web-based learning environment…
NASA Astrophysics Data System (ADS)
Divayana, D. G. H.; Adiarta, A.; Abadi, I. B. G. S.
2018-01-01
The aim of this research was to create initial design of CSE-UCLA evaluation model modified with Weighted Product in evaluating digital library service at Computer College in Bali. The method used in this research was developmental research method and developed by Borg and Gall model design. The results obtained from the research that conducted earlier this month was a rough sketch of Weighted Product based CSE-UCLA evaluation model that the design had been able to provide a general overview of the stages of weighted product based CSE-UCLA evaluation model used in order to optimize the digital library services at the Computer Colleges in Bali.
Belone, Lorenda; Lucero, Julie E; Duran, Bonnie; Tafoya, Greg; Baker, Elizabeth A; Chan, Domin; Chang, Charlotte; Greene-Moton, Ella; Kelley, Michele A; Wallerstein, Nina
2016-01-01
A national community-based participatory research (CBPR) team developed a conceptual model of CBPR partnerships to understand the contribution of partnership processes to improved community capacity and health outcomes. With the model primarily developed through academic literature and expert consensus building, we sought community input to assess face validity and acceptability. Our research team conducted semi-structured focus groups with six partnerships nationwide. Participants validated and expanded on existing model constructs and identified new constructs based on "real-world" praxis, resulting in a revised model. Four cross-cutting constructs were identified: trust development, capacity, mutual learning, and power dynamics. By empirically testing the model, we found community face validity and capacity to adapt the model to diverse contexts. We recommend partnerships use and adapt the CBPR model and its constructs, for collective reflection and evaluation, to enhance their partnering practices and achieve their health and research goals. © The Author(s) 2014.
Research on application of intelligent computation based LUCC model in urbanization process
NASA Astrophysics Data System (ADS)
Chen, Zemin
2007-06-01
Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents of complexity science research and the conception of complexity feature to reveal the complexity features of LUCC research in urbanization process. Urban space system is a complex economic and cultural phenomenon as well as a social process, is the comprehensive characterization of urban society, economy and culture, and is a complex space system formed by society, economy and nature. It has dissipative structure characteristics, such as opening, dynamics, self-organization, non-balance etc. Traditional model cannot simulate these social, economic and natural driving forces of LUCC including main feedback relation from LUCC to driving force. 2. Establishment of Markov extended model of LUCC analog research in urbanization process. Firstly, use traditional LUCC research model to compute change speed of regional land use through calculating dynamic degree, exploitation degree and consumption degree of land use; use the theory of fuzzy set to rewrite the traditional Markov model, establish structure transfer matrix of land use, forecast and analyze dynamic change and development trend of land use, and present noticeable problems and corresponding measures in urbanization process according to research results. 3. Application of intelligent computation research and complexity science research method in LUCC analog model in urbanization process. On the basis of detailed elaboration of the theory and the model of LUCC research in urbanization process, analyze the problems of existing model used in LUCC research (namely, difficult to resolve many complexity phenomena in complex urban space system), discuss possible structure realization forms of LUCC analog research in combination with the theories of intelligent computation and complexity science research. Perform application analysis on BP artificial neural network and genetic algorithms of intelligent computation and CA model and MAS technology of complexity science research, discuss their theoretical origins and their own characteristics in detail, elaborate the feasibility of them in LUCC analog research, and bring forward improvement methods and measures on existing problems of this kind of model. 4. Establishment of LUCC analog model in urbanization process based on theories of intelligent computation and complexity science. Based on the research on abovementioned BP artificial neural network, genetic algorithms, CA model and multi-agent technology, put forward improvement methods and application assumption towards their expansion on geography, build LUCC analog model in urbanization process based on CA model and Agent model, realize the combination of learning mechanism of BP artificial neural network and fuzzy logic reasoning, express the regulation with explicit formula, and amend the initial regulation through self study; optimize network structure of LUCC analog model and methods and procedures of model parameters with genetic algorithms. In this paper, I introduce research theory and methods of complexity science into LUCC analog research and presents LUCC analog model based upon CA model and MAS theory. Meanwhile, I carry out corresponding expansion on traditional Markov model and introduce the theory of fuzzy set into data screening and parameter amendment of improved model to improve the accuracy and feasibility of Markov model in the research on land use/cover change.
Suicide in the Media: A Quantitative Review of Studies Based on Nonfictional Stories
ERIC Educational Resources Information Center
Stack, Steven
2005-01-01
Research on the effect of suicide stories in the media on suicide in the real world has been marked by much debate and inconsistent findings. Recent narrative reviews have suggested that research based on nonfictional models is more apt to uncover imitative effects than research based on fictional models. There is, however, substantial variation…
History of research on modelling gypsy moth population ecology
J. J. Colbert
1991-01-01
History of research to develop models of gypsy moth population dynamics and some related studies are described. Empirical regression-based models are reviewed, and then the more comprehensive process models are discussed. Current model- related research efforts are introduced.
ERIC Educational Resources Information Center
Jirasatjanukul, Kanokrat; Jeerungsuwan, Namon
2018-01-01
The objectives of the research were to (1) design an instructional model based on Connectivism and Constructivism to create innovation in real world experience, (2) assess the model designed--the designed instructional model. The research involved 2 stages: (1) the instructional model design and (2) the instructional model rating. The sample…
Diagnosing Students' Mental Models via the Web-Based Mental Models Diagnosis System
ERIC Educational Resources Information Center
Wang, Tzu-Hua; Chiu, Mei-Hung; Lin, Jing-Wen; Chou, Chin-Cheng
2013-01-01
Mental models play an important role in science education research. To extend the effectiveness of conceptual change research and to improve mental model identi?cation and diagnosis, the authors developed and tested the Web-Based Mental Models Diagnosis (WMMD) system. In this article, they describe their WMMD system, which goes beyond the…
Fidelity in Models-Based Practice Research in Sport Pedagogy: A Guide for Future Investigations
ERIC Educational Resources Information Center
Hastie, Peter A.; Casey, Ashley
2014-01-01
This paper provides a commentary on research on models-based practice within physical education and presents a tutorial that aims to guide the reporting of future research using pedagogical models. Three key elements are presented that could be considered as essential for inclusion in any methods section in order for readers to gain an accurate…
NASA Astrophysics Data System (ADS)
Makahinda, T.
2018-02-01
The purpose of this research is to find out the effect of learning model based on technology and assessment technique toward thermodynamic achievement by controlling students intelligence. This research is an experimental research. The sample is taken through cluster random sampling with the total respondent of 80 students. The result of the research shows that the result of learning of thermodynamics of students who taught the learning model of environmental utilization is higher than the learning result of student thermodynamics taught by simulation animation, after controlling student intelligence. There is influence of student interaction, and the subject between models of technology-based learning with assessment technique to student learning result of Thermodynamics, after controlling student intelligence. Based on the finding in the lecture then should be used a thermodynamic model of the learning environment with the use of project assessment technique.
NASA Astrophysics Data System (ADS)
Rusijono; Khotimah, K.
2018-01-01
The purpose of this research was to investigate the effect of implementing the assessment model based on character building to improve discipline and student’s achievement. Assessment model based on character building includes three components, which are the behaviour of students, the efforts, and student’s achievement. This assessment model based on the character building is implemented in science philosophy and educational assessment courses, in Graduate Program of Educational Technology Department, Educational Faculty, Universitas Negeri Surabaya. This research used control group pre-test and post-test design. Data collection method used in this research were observation and test. The observation was used to collect the data about the disciplines of the student in the instructional process, while the test was used to collect the data about student’s achievement. Moreover, the study applied t-test to the analysis of data. The result of this research showed that assessment model based on character building improved discipline and student’s achievement.
Community-Based Research: From Practice to Theory and Back Again.
ERIC Educational Resources Information Center
Stoecker, Randy
2003-01-01
Explores the theoretical strands being combined in community-based research--charity service learning, social justice service learning, action research, and participatory research. Shows how different models of community-based research, based in different theories of society and different approaches to community work, may combine or conflict. (EV)
In defense of compilation: A response to Davis' form and content in model-based reasoning
NASA Technical Reports Server (NTRS)
Keller, Richard
1990-01-01
In a recent paper entitled 'Form and Content in Model Based Reasoning', Randy Davis argues that model based reasoning research aimed at compiling task specific rules from underlying device models is mislabeled, misguided, and diversionary. Some of Davis' claims are examined and his basic conclusions are challenged about the value of compilation research to the model based reasoning community. In particular, Davis' claim is refuted that model based reasoning is exempt from the efficiency benefits provided by knowledge compilation techniques. In addition, several misconceptions are clarified about the role of representational form in compilation. It is concluded that techniques have the potential to make a substantial contribution to solving tractability problems in model based reasoning.
The practice of agent-based model visualization.
Dorin, Alan; Geard, Nicholas
2014-01-01
We discuss approaches to agent-based model visualization. Agent-based modeling has its own requirements for visualization, some shared with other forms of simulation software, and some unique to this approach. In particular, agent-based models are typified by complexity, dynamism, nonequilibrium and transient behavior, heterogeneity, and a researcher's interest in both individual- and aggregate-level behavior. These are all traits requiring careful consideration in the design, experimentation, and communication of results. In the case of all but final communication for dissemination, researchers may not make their visualizations public. Hence, the knowledge of how to visualize during these earlier stages is unavailable to the research community in a readily accessible form. Here we explore means by which all phases of agent-based modeling can benefit from visualization, and we provide examples from the available literature and online sources to illustrate key stages and techniques.
NASA Astrophysics Data System (ADS)
Marshall, R. H.; Gabrys, R.
2016-12-01
NASA Goddard Space Flight Center has developed a systemic educator professional development model for the integration of NASA climate change resources into the K-12 classroom. The desired outcome of this model is to prepare teachers in STEM disciplines to be globally engaged and knowledgeable of current climate change research and its potential for content relevancy alignment to standard-based curriculum. The application and mapping of the model is based on the state education needs assessment, alignment to the Next Generation Science Standards (NGSS), and implementation framework developed by the consortium of district superintendents and their science supervisors. In this presentation, we will demonstrate best practices for extending the concept of inquiry-based and project-based learning through the integration of current NASA climate change research into curriculum unit lessons. This model includes a significant teacher development component focused on capacity development for teacher instruction and pedagogy aimed at aligning NASA climate change research to related NGSS student performance expectations and subsequent Crosscutting Concepts, Science and Engineering Practices, and Disciplinary Core Ideas, a need that was presented by the district steering committee as critical for ensuring sustainability and high-impact in the classroom. This model offers a collaborative and inclusive learning community that connects classroom teachers to NASA climate change researchers via an ongoing consultant/mentoring approach. As a result of the first year of implementation of this model, Maryland teachers are implementing NGSS unit lessons that guide students in open-ended research based on current NASA climate change research.
ERIC Educational Resources Information Center
Pumipuntu, Natawut; Kidrakarn, Pachoen; Chetakarn, Somchock
2015-01-01
This research aimed to develop the model of Web-based Collaborative (WBC) Training model for enhancing human performances on ICT for students in Banditpattanasilpa Institute. The research is divided into three phases: 1) investigating students and teachers' training needs on ICT web-based contents and performance, 2) developing a web-based…
The Analysis of Organizational Diagnosis on Based Six Box Model in Universities
ERIC Educational Resources Information Center
Hamid, Rahimi; Siadat, Sayyed Ali; Reza, Hoveida; Arash, Shahin; Ali, Nasrabadi Hasan; Azizollah, Arbabisarjou
2011-01-01
Purpose: The analysis of organizational diagnosis on based six box model at universities. Research method: Research method was descriptive-survey. Statistical population consisted of 1544 faculty members of universities which through random strafed sampling method 218 persons were chosen as the sample. Research Instrument were organizational…
Lung Cancer Screening Participation: Developing a Conceptual Model to Guide Research
Carter-Harris, Lisa; Davis, Lorie L.; Rawl, Susan M.
2017-01-01
Purpose To describe the development of a conceptual model to guide research focused on lung cancer screening participation from the perspective of the individual in the decision-making process. Methods Based on a comprehensive review of empirical and theoretical literature, a conceptual model was developed linking key psychological variables (stigma, medical mistrust, fatalism, worry, and fear) to the health belief model and precaution adoption process model. Results Proposed model concepts have been examined in prior research of either lung or other cancer screening behavior. To date, a few studies have explored a limited number of variables that influence screening behavior in lung cancer specifically. Therefore, relationships among concepts in the model have been proposed and future research directions presented. Conclusion This proposed model is an initial step to support theoretically based research. As lung cancer screening becomes more widely implemented, it is critical to theoretically guide research to understand variables that may be associated with lung cancer screening participation. Findings from future research guided by the proposed conceptual model can be used to refine the model and inform tailored intervention development. PMID:28304262
Lung Cancer Screening Participation: Developing a Conceptual Model to Guide Research.
Carter-Harris, Lisa; Davis, Lorie L; Rawl, Susan M
2016-11-01
To describe the development of a conceptual model to guide research focused on lung cancer screening participation from the perspective of the individual in the decision-making process. Based on a comprehensive review of empirical and theoretical literature, a conceptual model was developed linking key psychological variables (stigma, medical mistrust, fatalism, worry, and fear) to the health belief model and precaution adoption process model. Proposed model concepts have been examined in prior research of either lung or other cancer screening behavior. To date, a few studies have explored a limited number of variables that influence screening behavior in lung cancer specifically. Therefore, relationships among concepts in the model have been proposed and future research directions presented. This proposed model is an initial step to support theoretically based research. As lung cancer screening becomes more widely implemented, it is critical to theoretically guide research to understand variables that may be associated with lung cancer screening participation. Findings from future research guided by the proposed conceptual model can be used to refine the model and inform tailored intervention development.
Conceptual model of comprehensive research metrics for improved human health and environment.
Engel-Cox, Jill A; Van Houten, Bennett; Phelps, Jerry; Rose, Shyanika W
2008-05-01
Federal, state, and private research agencies and organizations have faced increasing administrative and public demand for performance measurement. Historically, performance measurement predominantly consisted of near-term outputs measured through bibliometrics. The recent focus is on accountability for investment based on long-term outcomes. Developing measurable outcome-based metrics for research programs has been particularly challenging, because of difficulty linking research results to spatially and temporally distant outcomes. Our objective in this review is to build a logic model and associated metrics through which to measure the contribution of environmental health research programs to improvements in human health, the environment, and the economy. We used expert input and literature research on research impact assessment. With these sources, we developed a logic model that defines the components and linkages between extramural environmental health research grant programs and the outputs and outcomes related to health and social welfare, environmental quality and sustainability, economics, and quality of life. The logic model focuses on the environmental health research portfolio of the National Institute of Environmental Health Sciences (NIEHS) Division of Extramural Research and Training. The model delineates pathways for contributions by five types of institutional partners in the research process: NIEHS, other government (federal, state, and local) agencies, grantee institutions, business and industry, and community partners. The model is being applied to specific NIEHS research applications and the broader research community. We briefly discuss two examples and discuss the strengths and limits of outcome-based evaluation of research programs.
Context-Model-Based Instruction in Teaching EFL Writing: A Narrative Inquiry
ERIC Educational Resources Information Center
Lin, Zheng
2016-01-01
This study aims to re-story the provision of the context-model-based instruction in teaching EFL writing, focusing especially on students' development of the context model and learning to guide EFL writing with the context model. The research data have been collected from the audio recordings of the classroom instruction, the teacher-researcher's…
Hayes, Brett K; Heit, Evan; Swendsen, Haruka
2010-03-01
Inductive reasoning entails using existing knowledge or observations to make predictions about novel cases. We review recent findings in research on category-based induction as well as theoretical models of these results, including similarity-based models, connectionist networks, an account based on relevance theory, Bayesian models, and other mathematical models. A number of touchstone empirical phenomena that involve taxonomic similarity are described. We also examine phenomena involving more complex background knowledge about premises and conclusions of inductive arguments and the properties referenced. Earlier models are shown to give a good account of similarity-based phenomena but not knowledge-based phenomena. Recent models that aim to account for both similarity-based and knowledge-based phenomena are reviewed and evaluated. Among the most important new directions in induction research are a focus on induction with uncertain premise categories, the modeling of the relationship between inductive and deductive reasoning, and examination of the neural substrates of induction. A common theme in both the well-established and emerging lines of induction research is the need to develop well-articulated and empirically testable formal models of induction. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
Regenerative life support system research
NASA Technical Reports Server (NTRS)
1988-01-01
Sections on modeling, experimental activities during the grant period, and topics under consideration for the future are contained. The sessions contain discussions of: four concurrent modeling approaches that were being integrated near the end of the period (knowledge-based modeling support infrastructure and data base management, object-oriented steady state simulations for three concepts, steady state mass-balance engineering tradeoff studies, and object-oriented time-step, quasidynamic simulations of generic concepts); interdisciplinary research activities, beginning with a discussion of RECON lab development and use, and followed with discussions of waste processing research, algae studies and subsystem modeling, low pressure growth testing of plants, subsystem modeling of plants, control of plant growth using lighting and CO2 supply as variables, search for and development of lunar soil simulants, preliminary design parameters for a lunar base life support system, and research considerations for food processing in space; and appendix materials, including a discussion of the CELSS Conference, detailed analytical equations for mass-balance modeling, plant modeling equations, and parametric data on existing life support systems for use in modeling.
Agent-Based Models in Empirical Social Research
ERIC Educational Resources Information Center
Bruch, Elizabeth; Atwell, Jon
2015-01-01
Agent-based modeling has become increasingly popular in recent years, but there is still no codified set of recommendations or practices for how to use these models within a program of empirical research. This article provides ideas and practical guidelines drawn from sociology, biology, computer science, epidemiology, and statistics. We first…
NASA Astrophysics Data System (ADS)
Sukmawati, Zuhairoh, Faihatuz
2017-05-01
The purpose of this research was to develop authentic assessment model based on showcase portfolio on learning of mathematical problem solving. This research used research and development Method (R & D) which consists of four stages of development that: Phase I, conducting a preliminary study. Phase II, determining the purpose of developing and preparing the initial model. Phase III, trial test of instrument for the initial draft model and the initial product. The respondents of this research are the students of SMAN 8 and SMAN 20 Makassar. The collection of data was through observation, interviews, documentation, student questionnaire, and instrument tests mathematical solving abilities. The data were analyzed with descriptive and inferential statistics. The results of this research are authentic assessment model design based on showcase portfolio which involves: 1) Steps in implementing the authentic assessment based Showcase, assessment rubric of cognitive aspects, assessment rubric of affective aspects, and assessment rubric of skill aspect. 2) The average ability of the students' problem solving which is scored by using authentic assessment based on showcase portfolio was in high category and the students' response in good category.
Alternative model for administration and analysis of research-based assessments
NASA Astrophysics Data System (ADS)
Wilcox, Bethany R.; Zwickl, Benjamin M.; Hobbs, Robert D.; Aiken, John M.; Welch, Nathan M.; Lewandowski, H. J.
2016-06-01
Research-based assessments represent a valuable tool for both instructors and researchers interested in improving undergraduate physics education. However, the historical model for disseminating and propagating conceptual and attitudinal assessments developed by the physics education research (PER) community has not resulted in widespread adoption of these assessments within the broader community of physics instructors. Within this historical model, assessment developers create high quality, validated assessments, make them available for a wide range of instructors to use, and provide minimal (if any) support to assist with administration or analysis of the results. Here, we present and discuss an alternative model for assessment dissemination, which is characterized by centralized data collection and analysis. This model provides a greater degree of support for both researchers and instructors in order to more explicitly support adoption of research-based assessments. Specifically, we describe our experiences developing a centralized, automated system for an attitudinal assessment we previously created to examine students' epistemologies and expectations about experimental physics. This system provides a proof of concept that we use to discuss the advantages associated with centralized administration and data collection for research-based assessments in PER. We also discuss the challenges that we encountered while developing, maintaining, and automating this system. Ultimately, we argue that centralized administration and data collection for standardized assessments is a viable and potentially advantageous alternative to the default model characterized by decentralized administration and analysis. Moreover, with the help of online administration and automation, this model can support the long-term sustainability of centralized assessment systems.
Application of Complex Adaptive Systems in Portfolio Management
ERIC Educational Resources Information Center
Su, Zheyuan
2017-01-01
Simulation-based methods are becoming a promising research tool in financial markets. A general Complex Adaptive System can be tailored to different application scenarios. Based on the current research, we built two models that would benefit portfolio management by utilizing Complex Adaptive Systems (CAS) in Agent-based Modeling (ABM) approach.…
Federal Register 2010, 2011, 2012, 2013, 2014
2010-01-15
... that is based on rigorous scientifically based research methods to assess the effectiveness of a...) Relies on measurements or observational methods that provide reliable and valid data across evaluators... of innovative, cohesive models that are based on research and have demonstrated that they effectively...
An Integrated Performance-Based Budgeting Model for Thai Higher Education
ERIC Educational Resources Information Center
Charoenkul, Nantarat; Siribanpitak, Pruet
2012-01-01
This research mainly aims to develop an administrative model of performance-based budgeting for autonomous state universities. The sample population in this study covers 4 representatives of autonomous state universities from 4 regions of Thailand, where the performance-based budgeting system has been fully practiced. The research informants…
Conjoint analysis: using a market-based research model for healthcare decision making.
Mele, Nancy L
2008-01-01
Conjoint analysis is a market-based research model that has been used by businesses for more than 35 years to predict consumer preferences in product design and purchasing. Researchers in medicine, healthcare economics, and health policy have discovered the value of this methodology in determining treatment preferences, resource allocation, and willingness to pay. To describe the conjoint analysis methodology and explore value-added applications in nursing research. Conjoint analysis methodology is described, using examples from the healthcare and business literature, and personal experience with the method. Nurses are called upon to increase interdisciplinary research, provide an evidence base for nursing practice, create patient-centered treatments, and revise nursing education. Other disciplines have met challenges like these using conjoint analysis and discrete choice modeling.
Research and Evaluation in Operational Competency-Based Teacher Education Programs.
ERIC Educational Resources Information Center
Dickson, George E., Ed.
1975-01-01
This is a collection of papers presented at a 1974 conference on research and evaluation in operational competency-based teacher education (CBTE) programs. Two conceptual models for research and evaluation of CBTE activities were presented at the conference and the presentations of these models are the first two chapters of this collection: "A…
Agent-Based Modeling of Chronic Diseases: A Narrative Review and Future Research Directions
Lawley, Mark A.; Siscovick, David S.; Zhang, Donglan; Pagán, José A.
2016-01-01
The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions. PMID:27236380
Agent-Based Modeling of Chronic Diseases: A Narrative Review and Future Research Directions.
Li, Yan; Lawley, Mark A; Siscovick, David S; Zhang, Donglan; Pagán, José A
2016-05-26
The United States is experiencing an epidemic of chronic disease. As the US population ages, health care providers and policy makers urgently need decision models that provide systematic, credible prediction regarding the prevention and treatment of chronic diseases to improve population health management and medical decision-making. Agent-based modeling is a promising systems science approach that can model complex interactions and processes related to chronic health conditions, such as adaptive behaviors, feedback loops, and contextual effects. This article introduces agent-based modeling by providing a narrative review of agent-based models of chronic disease and identifying the characteristics of various chronic health conditions that must be taken into account to build effective clinical- and policy-relevant models. We also identify barriers to adopting agent-based models to study chronic diseases. Finally, we discuss future research directions of agent-based modeling applied to problems related to specific chronic health conditions.
NASA Astrophysics Data System (ADS)
Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli
2017-05-01
This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.
Identity-Based Motivation: Constraints and Opportunities in Consumer Research.
Shavitt, Sharon; Torelli, Carlos J; Wong, Jimmy
2009-07-01
This commentary underscores the integrative nature of the identity-based motivation model (Oyserman, 2009). We situate the model within existing literatures in psychology and consumer behavior, and illustrate its novel elements with research examples. Special attention is devoted to, 1) how product- and brand-based affordances constrain identity-based motivation processes and, 2) the mindsets and action tendencies that can be triggered by specific cultural identities in pursuit of consumer goals. Future opportunities are suggested for researching the antecedents of product meanings and relevant identities.
NASA Astrophysics Data System (ADS)
Pennington, D. D.; Vincent, S.
2017-12-01
The NSF-funded project "Employing Model-Based Reasoning in Socio-Environmental Synthesis (EMBeRS)" has developed a generic model for exchanging knowledge across disciplines that is based on findings from the cognitive, learning, social, and organizational sciences addressing teamwork in complex problem solving situations. Two ten-day summer workshops for PhD students from large, NSF-funded interdisciplinary projects working on a variety of water issues were conducted in 2016 and 2017, testing the model by collecting a variety of data, including surveys, interviews, audio/video recordings, material artifacts and documents, and photographs. This presentation will introduce the EMBeRS model, the design of workshop activities based on the model, and results from surveys and interviews with the participating students. Findings suggest that this approach is very effective for developing a shared, integrated research vision across disciplines, compared with activities typically provided by most large research projects, and that students believe the skills developed in the EMBeRS workshops are unique and highly desireable.
Agent-based game theory modeling for driverless vehicles at intersections.
DOT National Transportation Integrated Search
2013-02-01
This report presents three research efforts that were published in various journals. The first research effort presents a reactive-driving agent based algorithm for modeling driver left turn gap acceptance behavior at signalized intersections. This m...
Sánchez-Johnsen, Lisa; Escamilla, Julia; Rodriguez, Erin M; Vega, Susan; Bolaños, Liliana
2015-01-01
Many behavioral health materials have not been translated into Spanish. Of those that are available in Spanish, some of them have not been translated correctly, many are only appropriate for a subgroup of Latinos, and/or multiple versions of the same materials exist. This article describes an innovative model of conducting bilingual English-Spanish translations as part of community-based participatory research studies and provides recommendations based on this model. In this article, the traditional process of conducting bilingual translations is reviewed, and an innovative model for conducting translations in collaboration with community partners is described. Finally, recommendations for conducting future health research studies with community partners are provided. Researchers, health care providers, educators, and community partners will benefit from learning about this innovative model that helps produce materials that are more culturally appropriate than those that are produced with the most commonly used method of conducting translations.
The Use of Modeling-Based Text to Improve Students' Modeling Competencies
ERIC Educational Resources Information Center
Jong, Jing-Ping; Chiu, Mei-Hung; Chung, Shiao-Lan
2015-01-01
This study investigated the effects of a modeling-based text on 10th graders' modeling competencies. Fifteen 10th graders read a researcher-developed modeling-based science text on the ideal gas law that included explicit descriptions and representations of modeling processes (i.e., model selection, model construction, model validation, model…
Nursing research: can a feminist perspective make any contribution?
Ehlers, V
1999-03-01
As more than 90% of the RSA's nurses are women and as at least 50% of the health care clients are also women, nursing research can definitely benefit by incorporating feminist research approaches. Specific feminist research issues which could be relevant to nursing research include: inherent themes in feminist research feminist research methodology gender stereotypes and nursing research gender-based stereotypes of researchers potential benefits of incorporating feminist research approaches in nursing research. Most formal models of nursing, and thus also most nursing research based on these models, ignore gender issues. Thus they ignore part of the social reality of nursing and might provide distorted images of nursing. A feminist approach to nursing research could enhance the reality-based gender issues relevant to nursing specifically, and health care generally, and contribute towards rendering effective health care within a multidisciplinary health care context.
Hydrological modelling in forested systems | Science ...
This chapter provides a brief overview of forest hydrology modelling approaches for answering important global research and management questions. Many hundreds of hydrological models have been applied globally across multiple decades to represent and predict forest hydrological processes. The focus of this chapter is on process-based models and approaches, specifically 'forest hydrology models'; that is, physically based simulation tools that quantify compartments of the forest hydrological cycle. Physically based models can be considered those that describe the conservation of mass, momentum and/or energy. The purpose of this chapter is to provide a brief overview of forest hydrology modeling approaches for answering important global research and management questions. The focus of this chapter is on process-based models and approaches, specifically “forest hydrology models”, i.e., physically-based simulation tools that quantify compartments of the forest hydrological cycle.
von Eye, Alexander; Mun, Eun Young; Bogat, G Anne
2008-03-01
This article reviews the premises of configural frequency analysis (CFA), including methods of choosing significance tests and base models, as well as protecting alpha, and discusses why CFA is a useful approach when conducting longitudinal person-oriented research. CFA operates at the manifest variable level. Longitudinal CFA seeks to identify those temporal patterns that stand out as more frequent (CFA types) or less frequent (CFA antitypes) than expected with reference to a base model. A base model that has been used frequently in CFA applications, prediction CFA, and a new base model, auto-association CFA, are discussed for analysis of cross-classifications of longitudinal data. The former base model takes the associations among predictors and among criteria into account. The latter takes the auto-associations among repeatedly observed variables into account. Application examples of each are given using data from a longitudinal study of domestic violence. It is demonstrated that CFA results are not redundant with results from log-linear modeling or multinomial regression and that, of these approaches, CFA shows particular utility when conducting person-oriented research.
Developing Emotion-Based Case Formulations: A Research-Informed Method.
Pascual-Leone, Antonio; Kramer, Ueli
2017-01-01
New research-informed methods for case conceptualization that cut across traditional therapy approaches are increasingly popular. This paper presents a trans-theoretical approach to case formulation based on the research observations of emotion. The sequential model of emotional processing (Pascual-Leone & Greenberg, 2007) is a process research model that provides concrete markers for therapists to observe the emerging emotional development of their clients. We illustrate how this model can be used by clinicians to track change and provides a 'clinical map,' by which therapist may orient themselves in-session and plan treatment interventions. Emotional processing offers as a trans-theoretical framework for therapists who wish to conduct emotion-based case formulations. First, we present criteria for why this research model translates well into practice. Second, two contrasting case studies are presented to demonstrate the method. The model bridges research with practice by using client emotion as an axis of integration. Key Practitioner Message Process research on emotion can offer a template for therapists to make case formulations while using a range of treatment approaches. The sequential model of emotional processing provides a 'process map' of concrete markers for therapists to (1) observe the emerging emotional development of their clients, and (2) help therapists develop a treatment plan. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
El Akbar, R. Reza; Anshary, Muhammad Adi Khairul; Hariadi, Dennis
2018-02-01
Model MACP for HE ver.1. Is a model that describes how to perform measurement and monitoring performance for Higher Education. Based on a review of the research related to the model, there are several parts of the model component to develop in further research, so this research has four main objectives. The first objective is to differentiate the CSF (critical success factor) components in the previous model, the two key KPI (key performance indicators) exploration in the previous model, the three based on the previous objective, the new and more detailed model design. The final goal is the fourth designed prototype application for performance measurement in higher education, based on a new model created. The method used is explorative research method and application design using prototype method. The results of this study are first, forming a more detailed new model for measurement and monitoring of performance in higher education, differentiation and exploration of the Model MACP for HE Ver.1. The second result compiles a dictionary of college performance measurement by re-evaluating the existing indicators. The third result is the design of prototype application of performance measurement in higher education.
Examining Learning through Modeling in K-6 Science Education
ERIC Educational Resources Information Center
Louca, Loucas T.; Zacharia, Zacharias C.
2015-01-01
Despite the abundance of research in Modeling-based Learning (MbL) in science education, to date there is only limited research on MbL practices among K-6 novice modelers. More specifically, there is no information on how young/novice modelers' modeling enactments look so that researchers and educators have an idea of what should be expected from…
[Advance in researches on the effect of forest on hydrological process].
Zhang, Zhiqiang; Yu, Xinxiao; Zhao, Yutao; Qin, Yongsheng
2003-01-01
According to the effects of forest on hydrological process, forest hydrology can be divided into three related aspects: experimental research on the effects of forest changing on hydrological process quantity and water quality; mechanism study on the effects of forest changing on hydrological cycle, and establishing and exploitating physical-based distributed forest hydrological model for resource management and engineering construction. Orientation experiment research can not only support the first-hand data for forest hydrological model, but also make clear the precipitation-runoff mechanisms. Research on runoff mechanisms can be valuable for the exploitation and improvement of physical based hydrological models. Moreover, the model can also improve the experimental and runoff mechanism researches. A review of above three aspects are summarized in this paper.
ERIC Educational Resources Information Center
Komalasari, Kokom; Saripudin, Didin
2018-01-01
This study aims to develop and examine a civic education textbook model based on living values education in order to foster the development of junior high school students' characters. This research employs Research and Development approach with an explorative method being used at model development stage and experiment method at model testing…
A Computer-Assisted Learning Model Based on the Digital Game Exponential Reward System
ERIC Educational Resources Information Center
Moon, Man-Ki; Jahng, Surng-Gahb; Kim, Tae-Yong
2011-01-01
The aim of this research was to construct a motivational model which would stimulate voluntary and proactive learning using digital game methods offering players more freedom and control. The theoretical framework of this research lays the foundation for a pedagogical learning model based on digital games. We analyzed the game reward system, which…
The Use of Theory in School Effectiveness Research Revisited
ERIC Educational Resources Information Center
Scheerens, Jaap
2013-01-01
From an international review of 109 school effectiveness research studies, only 6 could be seen as theory driven. As the border between substantive conceptual models of educational effectiveness and theory-based models is not always very sharp, this number might be increased to 11 by including those studies that are based on models that make…
A systems-based partnership learning model for strengthening primary healthcare
2013-01-01
Background Strengthening primary healthcare systems is vital to improving health outcomes and reducing inequity. However, there are few tools and models available in published literature showing how primary care system strengthening can be achieved on a large scale. Challenges to strengthening primary healthcare (PHC) systems include the dispersion, diversity and relative independence of primary care providers; the scope and complexity of PHC; limited infrastructure available to support population health approaches; and the generally poor and fragmented state of PHC information systems. Drawing on concepts of comprehensive PHC, integrated quality improvement (IQI) methods, system-based research networks, and system-based participatory action research, we describe a learning model for strengthening PHC that addresses these challenges. We describe the evolution of this model within the Australian Aboriginal and Torres Strait Islander primary healthcare context, successes and challenges in its application, and key issues for further research. Discussion IQI approaches combined with system-based participatory action research and system-based research networks offer potential to support program implementation and ongoing learning across a wide scope of primary healthcare practice and on a large scale. The Partnership Learning Model (PLM) can be seen as an integrated model for large-scale knowledge translation across the scope of priority aspects of PHC. With appropriate engagement of relevant stakeholders, the model may be applicable to a wide range of settings. In IQI, and in the PLM specifically, there is a clear role for research in contributing to refining and evaluating existing tools and processes, and in developing and trialling innovations. Achieving an appropriate balance between funding IQI activity as part of routine service delivery and funding IQI related research will be vital to developing and sustaining this type of PLM. Summary This paper draws together several different previously described concepts and extends the understanding of how PHC systems can be strengthened through systematic and partnership-based approaches. We describe a model developed from these concepts and its application in the Australian Indigenous primary healthcare context, and raise questions about sustainability and wider relevance of the model. PMID:24344640
Madan-Swain, Avi; Hankins, Shirley L; Gilliam, Margaux Barnes; Ross, Kelly; Reynolds, Nina; Milby, Jesse; Schwebel, David C
2012-03-01
This article considers the development of research competencies in professional psychology and how that movement might be applied to training in pediatric psychology. The field of pediatric psychology has a short but rich history, and experts have identified critical competencies. However, pediatric psychology has not yet detailed a set of research-based competencies. This article initially reviews the competency initiative in professional psychology, including the cube model as it relates to research training. Next, we review and adapt the knowledge-based/foundational and applied/functional research competencies proposed by health psychology into a cube model for pediatric psychology. We focus especially on graduate-level training but allude to its application throughout professional development. We present the cube model as it is currently being applied to the development of a systematic research competency evaluation for graduate training at our medical/clinical psychology doctoral program at the University of Alabama at Birmingham. Based on the review and synthesis of the literature on research competency in professional psychology we propose future initiatives to develop these competencies for the field of pediatric psychology. The cube model can be successfully applied to the development of research training competencies in pediatric psychology. Future research should address the development, implementation, and assessment of the research competencies for training and career development of future pediatric psychologists.
Spoth, Richard
2007-01-01
Various rural prevention research challenges have been articulated through a series of sessions convened since the mid 1990s by the National Institutes of Health, particularly the National Institute on Drug Abuse. Salient in this articulation was the need for effective collaboration among rural practitioners and scientists, with special consideration of accommodating the diversity of rural areas and surmounting barriers to implementation of evidence-based interventions. This paper summarizes the range of challenges in rural prevention research and describes an evolving community-university partnership model addressing them. The model entails involvement of public school staff and other rural community stakeholders, linked with scientists by Land Grant University-based Extension system staff. Examples of findings from over 16 years of partnership-based intervention research projects include those on engagement of rural residents, quality implementation of evidence-based interventions, and long-term community-level outcomes, as well as factors in effectiveness of the partnerships. Findings suggest a future focus on building capacity for practitioner-scientist collaboration and developing a network for more widespread implementation of the partnership model in a manner informed by lessons learned from partnership-based research to date.
Identity-Based Motivation: Constraints and Opportunities in Consumer Research
Shavitt, Sharon; Torelli, Carlos J.; Wong, Jimmy
2009-01-01
This commentary underscores the integrative nature of the identity-based motivation model (Oyserman, 2009). We situate the model within existing literatures in psychology and consumer behavior, and illustrate its novel elements with research examples. Special attention is devoted to, 1) how product- and brand-based affordances constrain identity-based motivation processes and, 2) the mindsets and action tendencies that can be triggered by specific cultural identities in pursuit of consumer goals. Future opportunities are suggested for researching the antecedents of product meanings and relevant identities. PMID:20161045
A Model for Effective Teaching and Learning in Research Methods.
ERIC Educational Resources Information Center
Poindexter, Paula M.
1998-01-01
Proposes a teaching model for making research relevant. Presents a case study of the model as used in advertising and public relations research classes. Notes that the model consists of a knowledge base, team process, a realistic goal-oriented experience, self-management, expert consultation, and evaluation and synthesis. Discusses resulting…
Constituents Make the Difference: Improving the Value of Rehabilitation Research.
ERIC Educational Resources Information Center
Menz, Fredrick E.
The participatory research model used by the Rehabilitation Research and Training Center at the University of Wisconsin-Stout is discussed, with a focus on the value added to the research process and relevance of research applications when research is rehabilitation-need based and the research-to-applications process model is used. Information is…
ERIC Educational Resources Information Center
Shutimarrungson, Werayut; Pumipuntu, Sangkom; Noirid, Surachet
2014-01-01
This research aimed to develop a model of e-learning by using Problem-Based Learning--PBL to develop thinking skills for students in Rajabhat University. The research is divided into three phases through the e-learning model via PBL with Constructivism approach as follows: Phase 1 was to study characteristics and factors through the model to…
Multiscale agent-based cancer modeling.
Zhang, Le; Wang, Zhihui; Sagotsky, Jonathan A; Deisboeck, Thomas S
2009-04-01
Agent-based modeling (ABM) is an in silico technique that is being used in a variety of research areas such as in social sciences, economics and increasingly in biomedicine as an interdisciplinary tool to study the dynamics of complex systems. Here, we describe its applicability to integrative tumor biology research by introducing a multi-scale tumor modeling platform that understands brain cancer as a complex dynamic biosystem. We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research.
NASA Astrophysics Data System (ADS)
Addy, A. L.; Chow, W. L.; Korst, H. H.; White, R. A.
1983-05-01
Significant data and detailed results of a joint research effort investigating the fluid dynamic mechanisms and interactions within separated flows are presented. The results were obtained through analytical, experimental, and computational investigations of base flow related configurations. The research objectives focus on understanding the component mechanisms and interactions which establish and maintain separated flow regions. Flow models and theoretical analyses were developed to describe the base flowfield. The research approach has been to conduct extensive small-scale experiments on base flow configurations and to analyze these flows by component models and finite-difference techniques. The modeling of base flows of missiles (both powered and unpowered) for transonic and supersonic freestreams has been successful by component models. Research on plume effects and plume modeling indicated the need to match initial plume slope and plume surface curvature for valid wind tunnel simulation of an actual rocket plume. The assembly and development of a state-of-the-art laser Doppler velocimeter (LDV) system for experiments with two-dimensional small-scale models has been completed and detailed velocity and turbulence measurements are underway. The LDV experiments include the entire range of base flowfield mechanisms - shear layer development, recompression/reattachment, shock-induced separation, and plume-induced separation.
POPULATION-BASED EXPOSURE MODELING FOR AIR POLLUTANTS AT EPA'S NATIONAL EXPOSURE RESEARCH LABORATORY
The US EPA's National Exposure Research Laboratory (NERL) has been developing, applying, and evaluating population-based exposure models to improve our understanding of the variability in personal exposure to air pollutants. Estimates of population variability are needed for E...
NASA Astrophysics Data System (ADS)
Kurniasih; Nihayah, Dyah Maya; Sudibyo, Syafitri Amalia; Winda, Fajri Nur
2018-02-01
Officially, Nongkosawit Village has become a tourism village since 2012. However, the economic impact has not been received by the society yet because of inappropriate tourism village model. Therefore, this study aims to find out the best model for the development of Nongkosawit Tourism Village. This research used Analytical Hierarchy Process method. The results of this research shows that the model of tourism village which was suitable to the local indigenous of Nongkosawit Tourism Village was the cultural based tourism village with the percentage of 58%. Therefore, it is necessary to do re-orientation from the natural-based village model into the cultural-based village model by raising and exploring the existing culture through unique and different tourism products.
Design-based research in designing the model for educating simulation facilitators.
Koivisto, Jaana-Maija; Hannula, Leena; Bøje, Rikke Buus; Prescott, Stephen; Bland, Andrew; Rekola, Leena; Haho, Päivi
2018-03-01
The purpose of this article is to introduce the concept of design-based research, its appropriateness in creating education-based models, and to describe the process of developing such a model. The model was designed as part of the Nurse Educator Simulation based learning project, funded by the EU's Lifelong Learning program (2013-1-DK1-LEO05-07053). The project partners were VIA University College, Denmark, the University of Huddersfield, UK and Metropolia University of Applied Sciences, Finland. As an outcome of the development process, "the NESTLED model for educating simulation facilitators" (NESTLED model) was generated. This article also illustrates five design principles that could be applied to other pedagogies. Copyright © 2018 Elsevier Ltd. All rights reserved.
2002-08-01
the measurement noise, as well as the physical model of the forward scattered electric field. The Bayesian algorithms for the Uncertain Permittivity...received at multiple sensors. In this research project a tissue- model -based signal-detection theory approach for the detection of mammary tumors in the...oriented information processors. In this research project a tissue- model - based signal detection theory approach for the detection of mammary tumors in the
Building Research Partnerships with Health Care Organizations: The Scholar Award Model in Action
ERIC Educational Resources Information Center
Aroian, Karen J.; Robertson, Patricia; Allred, Kelly; Andrews, Diane; Waldrop, Julee
2012-01-01
In the current era of limited funding, researchers need strategic alliances to launch or sustain programs of research to significantly impact the nation's health. This article presents a collaborative model, the Scholar Award Model, which is based on a strategic alliance between a College of Nursing in a research-intensive university and a…
A New Availability-Payment Model for Pricing Performance-Based Logistics Contracts
2014-06-17
the contractor maintains a steady revenue (with profit ). Figure 4. Affine Controller Model for Availability Contract Acquisition Research Program... a bankruptcy constraint; and and Deduction(∙) are decision variables for contract design for the level one (public sector) problem. Given...UMD-CM-14-175 ACQUISITION RESEARCH PROGRAM SPONSORED REPORT SERIES A New “Availability-Payment” Model for Pricing Performance- Based
Research on light rail electric load forecasting based on ARMA model
NASA Astrophysics Data System (ADS)
Huang, Yifan
2018-04-01
The article compares a variety of time series models and combines the characteristics of power load forecasting. Then, a light load forecasting model based on ARMA model is established. Based on this model, a light rail system is forecasted. The prediction results show that the accuracy of the model prediction is high.
An, Gary; Christley, Scott
2012-01-01
Given the panoply of system-level diseases that result from disordered inflammation, such as sepsis, atherosclerosis, cancer, and autoimmune disorders, understanding and characterizing the inflammatory response is a key target of biomedical research. Untangling the complex behavioral configurations associated with a process as ubiquitous as inflammation represents a prototype of the translational dilemma: the ability to translate mechanistic knowledge into effective therapeutics. A critical failure point in the current research environment is a throughput bottleneck at the level of evaluating hypotheses of mechanistic causality; these hypotheses represent the key step toward the application of knowledge for therapy development and design. Addressing the translational dilemma will require utilizing the ever-increasing power of computers and computational modeling to increase the efficiency of the scientific method in the identification and evaluation of hypotheses of mechanistic causality. More specifically, development needs to focus on facilitating the ability of non-computer trained biomedical researchers to utilize and instantiate their knowledge in dynamic computational models. This is termed "dynamic knowledge representation." Agent-based modeling is an object-oriented, discrete-event, rule-based simulation method that is well suited for biomedical dynamic knowledge representation. Agent-based modeling has been used in the study of inflammation at multiple scales. The ability of agent-based modeling to encompass multiple scales of biological process as well as spatial considerations, coupled with an intuitive modeling paradigm, suggest that this modeling framework is well suited for addressing the translational dilemma. This review describes agent-based modeling, gives examples of its applications in the study of inflammation, and introduces a proposed general expansion of the use of modeling and simulation to augment the generation and evaluation of knowledge by the biomedical research community at large.
Integrating Research Competencies in Massage Therapy Education.
ERIC Educational Resources Information Center
Hymel, Glenn M.
The massage therapy profession is currently engaged in a competency-based education movement that includes an emphasis on promoting massage therapy research competencies (MTRCs). A systems-based model for integrating MTRCs into massage therapy education was therefore proposed. The model and an accompanying checklist describe an approach to…
ERIC Educational Resources Information Center
Cepeda, Francisco Javier Delgado
2017-01-01
This work presents a proposed model in blended learning for a numerical methods course evolved from traditional teaching into a research lab in scientific visualization. The blended learning approach sets a differentiated and flexible scheme based on a mobile setup and face to face sessions centered on a net of research challenges. Model is…
Models of Quantitative Estimations: Rule-Based and Exemplar-Based Processes Compared
ERIC Educational Resources Information Center
von Helversen, Bettina; Rieskamp, Jorg
2009-01-01
The cognitive processes underlying quantitative estimations vary. Past research has identified task-contingent changes between rule-based and exemplar-based processes (P. Juslin, L. Karlsson, & H. Olsson, 2008). B. von Helversen and J. Rieskamp (2008), however, proposed a simple rule-based model--the mapping model--that outperformed the…
Hipp, John R.; Wang, Cheng; Butts, Carter T.; Jose, Rupa; Lakon, Cynthia M.
2015-01-01
Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models. PMID:25745276
Hipp, John R; Wang, Cheng; Butts, Carter T; Jose, Rupa; Lakon, Cynthia M
2015-05-01
Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models.
DOT National Transportation Integrated Search
2013-06-01
This report summarizes a research project aimed at developing degradation models for bridge decks in the state of Michigan based on durability mechanics. A probabilistic framework to implement local-level mechanistic-based models for predicting the c...
NASA Astrophysics Data System (ADS)
McNamara, J. P.; Semenova, O.; Restrepo, P. J.
2011-12-01
Highly instrumented research watersheds provide excellent opportunities for investigating hydrologic processes. A danger, however, is that the processes observed at a particular research watershed are too specific to the watershed and not representative even of the larger scale watershed that contains that particular research watershed. Thus, models developed based on those partial observations may not be suitable for general hydrologic use. Therefore demonstrating the upscaling of hydrologic process from research watersheds to larger watersheds is essential to validate concepts and test model structure. The Hydrograph model has been developed as a general-purpose process-based hydrologic distributed system. In its applications and further development we evaluate the scaling of model concepts and parameters in a wide range of hydrologic landscapes. All models, either lumped or distributed, are based on a discretization concept. It is common practice that watersheds are discretized into so called hydrologic units or hydrologic landscapes possessing assumed homogeneous hydrologic functioning. If a model structure is fixed, the difference in hydrologic functioning (difference in hydrologic landscapes) should be reflected by a specific set of model parameters. Research watersheds provide the possibility for reasonable detailed combining of processes into some typical hydrologic concept such as hydrologic units, hydrologic forms, and runoff formation complexes in the Hydrograph model. And here by upscaling we imply not the upscaling of a single process but upscaling of such unified hydrologic functioning. The simulation of runoff processes for the Dry Creek research watershed, Idaho, USA (27 km2) was undertaken using the Hydrograph model. The information on the watershed was provided by Boise State University and included a GIS database of watershed characteristics and a detailed hydrometeorological observational dataset. The model provided good simulation results in terms of runoff and variable states of soil and snow over a simulation period 2000 - 2009. The parameters of the model were hand-adjusted based on rational sense, observational data and available understanding of underlying processes. For the first run some processes as riparian vegetation impact on runoff and streamflow/groundwater interaction were handled in a conceptual way. It was shown that the use of Hydrograph model which requires modest amount of parameter calibration may serve also as a quality control for observations. Based on the obtained parameters values and process understanding at the research watershed the model was applied to the larger scale watersheds located in similar environment - the Boise River at South Fork (1660 km2) and Twin Springs (2155 km2). The evaluation of the results of such upscaling will be presented.
NASA Astrophysics Data System (ADS)
Wardono; Waluya, B.; Kartono; Mulyono; Mariani, S.
2018-03-01
This research is very urgent in relation to the national issue of human development and the nation's competitiveness because of the ability of Indonesian Junior High School students' mathematics literacy results of the Programme for International Student Assessment (PISA) by OECD field of Mathematics is still very low compared to other countries. Curriculum 2013 launched one of them reflect the results of PISA which is still far from the expectations of the Indonesian nation and to produce a better quality of education, PISA ratings that reflect the nation's better competitiveness need to be developed innovative, interactive learning models such as innovative interactive learning Problem Based Learning (PBL) based on the approach of Indonesian Realistic Mathematics Education (PMRI) and the Scientific approach using Information and Communication Technology (ICT).The research was designed using Research and Development (R&D), research that followed up the development and dissemination of a product/model. The result of the research shows the innovative interactive learning PBL model based on PMRI-Scientific using ICT that developed valid, practical and effective and can improve the ability of mathematics literacy and independence-character of junior high school students. While the quality of innovative interactive learning PBL model based on PMRI-Scientific using ICT meet the good category.
A model for the electronic support of practice-based research networks.
Peterson, Kevin A; Delaney, Brendan C; Arvanitis, Theodoros N; Taweel, Adel; Sandberg, Elisabeth A; Speedie, Stuart; Richard Hobbs, F D
2012-01-01
The principal goal of the electronic Primary Care Research Network (ePCRN) is to enable the development of an electronic infrastructure to support clinical research activities in primary care practice-based research networks (PBRNs). We describe the model that the ePCRN developed to enhance the growth and to expand the reach of PBRN research. Use cases and activity diagrams were developed from interviews with key informants from 11 PBRNs from the United States and United Kingdom. Discrete functions were identified and aggregated into logical components. Interaction diagrams were created, and an overall composite diagram was constructed describing the proposed software behavior. Software for each component was written and aggregated, and the resulting prototype application was pilot tested for feasibility. A practical model was then created by separating application activities into distinct software packages based on existing PBRN business rules, hardware requirements, network requirements, and security concerns. We present an information architecture that provides for essential interactions, activities, data flows, and structural elements necessary for providing support for PBRN translational research activities. The model describes research information exchange between investigators and clusters of independent data sites supported by a contracted research director. The model was designed to support recruitment for clinical trials, collection of aggregated anonymous data, and retrieval of identifiable data from previously consented patients across hundreds of practices. The proposed model advances our understanding of the fundamental roles and activities of PBRNs and defines the information exchange commonly used by PBRNs to successfully engage community health care clinicians in translational research activities. By describing the network architecture in a language familiar to that used by software developers, the model provides an important foundation for the development of electronic support for essential PBRN research activities.
Rodríguez, J; Premier, G C; Dinsdale, R; Guwy, A J
2009-01-01
Mathematical modelling in environmental biotechnology has been a traditionally difficult resource to access for researchers and students without programming expertise. The great degree of flexibility required from model implementation platforms to be suitable for research applications restricts their use to programming expert users. More user friendly software packages however do not normally incorporate the necessary flexibility for most research applications. This work presents a methodology based on Excel and Matlab-Simulink for both flexible and accessible implementation of mathematical models by researchers with and without programming expertise. The models are almost fully defined in an Excel file in which the names and values of the state variables and parameters are easily created. This information is automatically processed in Matlab to create the model structure and almost immediate model simulation, after only a minimum Matlab code definition, is possible. The framework proposed also provides programming expert researchers with a highly flexible and modifiable platform on which to base more complex model implementations. The method takes advantage of structural generalities in most mathematical models of environmental bioprocesses while enabling the integration of advanced elements (e.g. heuristic functions, correlations). The methodology has already been successfully used in a number of research studies.
Passivity-based Robust Control of Aerospace Systems
NASA Technical Reports Server (NTRS)
Kelkar, Atul G.; Joshi, Suresh M. (Technical Monitor)
2000-01-01
This report provides a brief summary of the research work performed over the duration of the cooperative research agreement between NASA Langley Research Center and Kansas State University. The cooperative agreement which was originally for the duration the three years was extended by another year through no-cost extension in order to accomplish the goals of the project. The main objective of the research was to develop passivity-based robust control methodology for passive and non-passive aerospace systems. The focus of the first-year's research was limited to the investigation of passivity-based methods for the robust control of Linear Time-Invariant (LTI) single-input single-output (SISO), open-loop stable, minimum-phase non-passive systems. The second year's focus was mainly on extending the passivity-based methodology to a larger class of non-passive LTI systems which includes unstable and nonminimum phase SISO systems. For LTI non-passive systems, five different passification. methods were developed. The primary effort during the years three and four was on the development of passification methodology for MIMO systems, development of methods for checking robustness of passification, and developing synthesis techniques for passifying compensators. For passive LTI systems optimal synthesis procedure was also developed for the design of constant-gain positive real controllers. For nonlinear passive systems, numerical optimization-based technique was developed for the synthesis of constant as well as time-varying gain positive-real controllers. The passivity-based control design methodology developed during the duration of this project was demonstrated by its application to various benchmark examples. These example systems included longitudinal model of an F-18 High Alpha Research Vehicle (HARV) for pitch axis control, NASA's supersonic transport wind tunnel model, ACC benchmark model, 1-D acoustic duct model, piezo-actuated flexible link model, and NASA's Benchmark Active Controls Technology (BACT) Wing model. Some of the stability results for linear passive systems were also extended to nonlinear passive systems. Several publications and conference presentations resulted from this research.
Han, Jinxiang; Huang, Jinzhao
2012-03-01
In this study, based on the resonator model and exciplex model of electromagnetic radiation within the human body, mathematical model of biological order state, also referred to as syndrome in traditional Chinese medicine, was established and expressed as: "Sy = v/ 1n(6I + 1)". This model provides the theoretical foundation for experimental research addressing the order state of living system, especially the quantitative research syndrome in traditional Chinese medicine.
de Carvalho, Elias César Araujo; Batilana, Adelia Portero; Simkins, Julie; Martins, Henrique; Shah, Jatin; Rajgor, Dimple; Shah, Anand; Rockart, Scott; Pietrobon, Ricardo
2010-02-19
Sharing of epidemiological and clinical data sets among researchers is poor at best, in detriment of science and community at large. The purpose of this paper is therefore to (1) describe a novel Web application designed to share information on study data sets focusing on epidemiological clinical research in a collaborative environment and (2) create a policy model placing this collaborative environment into the current scientific social context. The Database of Databases application was developed based on feedback from epidemiologists and clinical researchers requiring a Web-based platform that would allow for sharing of information about epidemiological and clinical study data sets in a collaborative environment. This platform should ensure that researchers can modify the information. A Model-based predictions of number of publications and funding resulting from combinations of different policy implementation strategies (for metadata and data sharing) were generated using System Dynamics modeling. The application allows researchers to easily upload information about clinical study data sets, which is searchable and modifiable by other users in a wiki environment. All modifications are filtered by the database principal investigator in order to maintain quality control. The application has been extensively tested and currently contains 130 clinical study data sets from the United States, Australia, China and Singapore. Model results indicated that any policy implementation would be better than the current strategy, that metadata sharing is better than data-sharing, and that combined policies achieve the best results in terms of publications. Based on our empirical observations and resulting model, the social network environment surrounding the application can assist epidemiologists and clinical researchers contribute and search for metadata in a collaborative environment, thus potentially facilitating collaboration efforts among research communities distributed around the globe.
Opportunities to Meet Challenges in Rural Prevention Research
Spoth, Richard
2008-01-01
Various rural prevention research challenges have been articulated through a series of sessions convened since the mid 1990s by the National Institutes of Health, particularly the National Institute on Drug Abuse. Salient in this articulation was the need for effective collaboration among rural practitioners and scientists, with special consideration of accommodating the diversity of rural areas and surmounting barriers to implementation of evidence-based interventions. This paper summarizes the range of challenges in rural prevention research and describes an evolving community-university partnership model addressing them. The model entails involvement of public school staff and other rural community stakeholders, linked with scientists by Land Grant University-based Extension system staff. Examples of findings from over 16 years of partnership-based intervention research projects include those on engagement of rural residents, quality implementation of evidence-based interventions, and long-term community-level outcomes, as well as factors in effectiveness of the partnerships. Findings suggest a future focus on building capacity for practitioner-scientist collaboration and developing a network for more widespread implementation of the partnership model in a manner informed by lessons learned from partnership-based research to date. PMID:18237324
A Framework for Text Mining in Scientometric Study: A Case Study in Biomedicine Publications
NASA Astrophysics Data System (ADS)
Silalahi, V. M. M.; Hardiyati, R.; Nadhiroh, I. M.; Handayani, T.; Rahmaida, R.; Amelia, M.
2018-04-01
The data of Indonesians research publications in the domain of biomedicine has been collected to be text mined for the purpose of a scientometric study. The goal is to build a predictive model that provides a classification of research publications on the potency for downstreaming. The model is based on the drug development processes adapted from the literatures. An effort is described to build the conceptual model and the development of a corpus on the research publications in the domain of Indonesian biomedicine. Then an investigation is conducted relating to the problems associated with building a corpus and validating the model. Based on our experience, a framework is proposed to manage the scientometric study based on text mining. Our method shows the effectiveness of conducting a scientometric study based on text mining in order to get a valid classification model. This valid model is mainly supported by the iterative and close interactions with the domain experts starting from identifying the issues, building a conceptual model, to the labelling, validation and results interpretation.
Design-Based Research: Case of a Teaching Sequence on Mechanics
ERIC Educational Resources Information Center
Tiberghien, Andree; Vince, Jacques; Gaidioz, Pierre
2009-01-01
Design-based research, and particularly its theoretical status, is a subject of debate in the science education community. In the first part of this paper, a theoretical framework drawn up to develop design-based research will be presented. This framework is mainly based on epistemological analysis of physics modelling, learning and teaching…
Environmental Flux and Locally Focused College Writing
ERIC Educational Resources Information Center
Shepley, Nathan
2014-01-01
This article reviews insights from place-based education and ecological models of writing to show how these theories can work together to shape locally focused composition pedagogies. From place-based education, the researcher takes an emphasis on physical specificity, and from ecological models of writing, the researcher takes an emphasis on…
Improving Conceptual Understanding and Representation Skills through Excel-Based Modeling
ERIC Educational Resources Information Center
Malone, Kathy L.; Schunn, Christian D.; Schuchardt, Anita M.
2018-01-01
The National Research Council framework for science education and the Next Generation Science Standards have developed a need for additional research and development of curricula that is both technologically model-based and includes engineering practices. This is especially the case for biology education. This paper describes a quasi-experimental…
Pre- and Post-Processing Tools to Create and Characterize Particle-Based Composite Model Structures
2017-11-01
ARL-TR-8213 ● NOV 2017 US Army Research Laboratory Pre- and Post -Processing Tools to Create and Characterize Particle-Based...ARL-TR-8213 ● NOV 2017 US Army Research Laboratory Pre- and Post -Processing Tools to Create and Characterize Particle-Based Composite...AND SUBTITLE Pre- and Post -Processing Tools to Create and Characterize Particle-Based Composite Model Structures 5a. CONTRACT NUMBER 5b. GRANT
Research-based care on an acute inpatient psychiatric unit.
Bartholomew, David; Collier, Elizabeth
Many studies of research-based practice in nursing highlight factors that impede the development of practice. With the aim of adding to this body of knowledge, a modified grounded theory approach was used in order to understand more about these barriers and how individual nurses utilize research in their practice. A selective sample of five staff nurses from one acute inpatient psychiatric unit took part in semi-structured interviews. Three main themes were identified, each with two sub-themes. These were (a) activities to utilize research with (i) a 'systematic' model and (ii) a 'latent' model of research utilization (b) enhancing research utilization with (i) organizational culture and (ii) individual attitude and knowledge and (c) impeding research utilization with (i) resources (ii) resistance to change. It is suggested that for these nurses research utilization occurs through their individual knowledge, skill and motivation coupled with organizational commitment. Recommendation is made that further investigation of the 'systematic' and 'latent' models should be carried out. Additionally, it is suggested that these research findings might be used to inform future training, further research-based initiatives and to raise managerial awareness of the impeding factors of research utilization.
Apostolopoulos, Yorghos; Lemke, Michael K; Barry, Adam E; Lich, Kristen Hassmiller
2018-02-01
Given the complexity of factors contributing to alcohol misuse, appropriate epistemologies and methodologies are needed to understand and intervene meaningfully. We aimed to (1) provide an overview of computational modeling methodologies, with an emphasis on system dynamics modeling; (2) explain how community-based system dynamics modeling can forge new directions in alcohol prevention research; and (3) present a primer on how to build alcohol misuse simulation models using system dynamics modeling, with an emphasis on stakeholder involvement, data sources and model validation. Throughout, we use alcohol misuse among college students in the United States as a heuristic example for demonstrating these methodologies. System dynamics modeling employs a top-down aggregate approach to understanding dynamically complex problems. Its three foundational properties-stocks, flows and feedbacks-capture non-linearity, time-delayed effects and other system characteristics. As a methodological choice, system dynamics modeling is amenable to participatory approaches; in particular, community-based system dynamics modeling has been used to build impactful models for addressing dynamically complex problems. The process of community-based system dynamics modeling consists of numerous stages: (1) creating model boundary charts, behavior-over-time-graphs and preliminary system dynamics models using group model-building techniques; (2) model formulation; (3) model calibration; (4) model testing and validation; and (5) model simulation using learning-laboratory techniques. Community-based system dynamics modeling can provide powerful tools for policy and intervention decisions that can result ultimately in sustainable changes in research and action in alcohol misuse prevention. © 2017 Society for the Study of Addiction.
Towards a 21st century roadmap for biomedical research and ...
Decades of costly failures in translating drug candidates from preclinical disease models to human therapeutic use warrant reconsideration of the priority placed on animal models in biomedical research. Following an international workshop attended by experts from academia, government institutions, research funding bodies and the corporate and NGO sectors, this consensus report analyses, as case studies, five disease areas with major unmet needs for new treatments. In view of the scientifically driven transition towards a human pathways-based paradigm in toxicology, a similar paradigm shift appears to be justified in biomedical research. There is a pressing need for an approach that strategically implements advanced, human biology-based models and tools to understand disease pathways at multiple biological scales. We present recommendations to help achieve this. To discover and develop new therapies, we need 21-century roadmaps for biomedical research based on multiscale human disease pathways, and supported by policy and funding strategies that prioritise human relevance.
An, Gary
2009-01-01
The sheer volume of biomedical research threatens to overwhelm the capacity of individuals to effectively process this information. Adding to this challenge is the multiscale nature of both biological systems and the research community as a whole. Given this volume and rate of generation of biomedical information, the research community must develop methods for robust representation of knowledge in order for individuals, and the community as a whole, to "know what they know." Despite increasing emphasis on "data-driven" research, the fact remains that researchers guide their research using intuitively constructed conceptual models derived from knowledge extracted from publications, knowledge that is generally qualitatively expressed using natural language. Agent-based modeling (ABM) is a computational modeling method that is suited to translating the knowledge expressed in biomedical texts into dynamic representations of the conceptual models generated by researchers. The hierarchical object-class orientation of ABM maps well to biomedical ontological structures, facilitating the translation of ontologies into instantiated models. Furthermore, ABM is suited to producing the nonintuitive behaviors that often "break" conceptual models. Verification in this context is focused at determining the plausibility of a particular conceptual model, and qualitative knowledge representation is often sufficient for this goal. Thus, utilized in this fashion, ABM can provide a powerful adjunct to other computational methods within the research process, as well as providing a metamodeling framework to enhance the evolution of biomedical ontologies.
A Ground-Based Research Vehicle for Base Drag Studies at Subsonic Speeds
NASA Technical Reports Server (NTRS)
Diebler, Corey; Smith, Mark
2002-01-01
A ground research vehicle (GRV) has been developed to study the base drag on large-scale vehicles at subsonic speeds. Existing models suggest that base drag is dependent upon vehicle forebody drag, and for certain configurations, the total drag of a vehicle can be reduced by increasing its forebody drag. Although these models work well for small projectile shapes, studies have shown that they do not provide accurate predictions when applied to large-scale vehicles. Experiments are underway at the NASA Dryden Flight Research Center to collect data at Reynolds numbers to a maximum of 3 x 10(exp 7), and to formulate a new model for predicting the base drag of trucks, buses, motor homes, reentry vehicles, and other large-scale vehicles. Preliminary tests have shown errors as great as 70 percent compared to Hoerner's two-dimensional base drag prediction. This report describes the GRV and its capabilities, details the studies currently underway at NASA Dryden, and presents preliminary results of both the effort to formulate a new base drag model and the investigation into a method of reducing total drag by manipulating forebody drag.
Delta Pi Epsilon National Research Conference Proceedings (Columbus, Ohio, November 15-17, 1990).
ERIC Educational Resources Information Center
Delta Pi Epsilon Society, Little Rock, AR.
These conference proceedings consist of 25 presentations: "Conducting Experimental Research" (Miller) "Conducting Research Overseas: Some Thoughts Based upon Experiences in the United Kingdom" (Scott); "Applying Research to the Classroom" (Wayne); "DACUM: A Competency-Based Curriculum Tool" (Norton); "A Doctoral Research Model" (Bronner); "The…
An evidence-based patient-centered method makes the biopsychosocial model scientific.
Smith, Robert C; Fortin, Auguste H; Dwamena, Francesca; Frankel, Richard M
2013-06-01
To review the scientific status of the biopsychosocial (BPS) model and to propose a way to improve it. Engel's BPS model added patients' psychological and social health concerns to the highly successful biomedical model. He proposed that the BPS model could make medicine more scientific, but its use in education, clinical care, and, especially, research remains minimal. Many aver correctly that the present model cannot be defined in a consistent way for the individual patient, making it untestable and non-scientific. This stems from not obtaining relevant BPS data systematically, where one interviewer obtains the same information another would. Recent research by two of the authors has produced similar patient-centered interviewing methods that are repeatable and elicit just the relevant patient information needed to define the model at each visit. We propose that the field adopt these evidence-based methods as the standard for identifying the BPS model. Identifying a scientific BPS model in each patient with an agreed-upon, evidence-based patient-centered interviewing method can produce a quantum leap ahead in both research and teaching. A scientific BPS model can give us more confidence in being humanistic. In research, we can conduct more rigorous studies to inform better practices. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Hidayati, A.; Rahmi, A.; Yohandri; Ratnawulan
2018-04-01
The importance of teaching materials in accordance with the characteristics of students became the main reason for the development of basic electronics I module integrated character values based on conceptual change teaching model. The module development in this research follows the development procedure of Plomp which includes preliminary research, prototyping phase and assessment phase. In the first year of this research, the module is validated. Content validity is seen from the conformity of the module with the development theory in accordance with the demands of learning model characteristics. The validity of the construct is seen from the linkage and consistency of each module component developed with the characteristic of the integrated learning model of character values obtained through validator assessment. The average validation value assessed by the validator belongs to a very valid category. Based on the validator assessment then revised the basic electronics I module integrated character values based on conceptual change teaching model.
ERIC Educational Resources Information Center
Annetta, Leonard A.; Frazier, Wendy M.; Folta, Elizabeth; Holmes, Shawn; Lamb, Richard; Cheng, Meng-Tzu
2013-01-01
Designed-based research principles guided the study of 51 secondary-science teachers in the second year of a 3-year professional development project. The project entailed the creation of student-centered, inquiry-based, science, video games. A professional development model appropriate for infusing innovative technologies into standards-based…
Cyberpsychology: a human-interaction perspective based on cognitive modeling.
Emond, Bruno; West, Robert L
2003-10-01
This paper argues for the relevance of cognitive modeling and cognitive architectures to cyberpsychology. From a human-computer interaction point of view, cognitive modeling can have benefits both for theory and model building, and for the design and evaluation of sociotechnical systems usability. Cognitive modeling research applied to human-computer interaction has two complimentary objectives: (1) to develop theories and computational models of human interactive behavior with information and collaborative technologies, and (2) to use the computational models as building blocks for the design, implementation, and evaluation of interactive technologies. From the perspective of building theories and models, cognitive modeling offers the possibility to anchor cyberpsychology theories and models into cognitive architectures. From the perspective of the design and evaluation of socio-technical systems, cognitive models can provide the basis for simulated users, which can play an important role in usability testing. As an example of application of cognitive modeling to technology design, the paper presents a simulation of interactive behavior with five different adaptive menu algorithms: random, fixed, stacked, frequency based, and activation based. Results of the simulation indicate that fixed menu positions seem to offer the best support for classification like tasks such as filing e-mails. This research is part of the Human-Computer Interaction, and the Broadband Visual Communication research programs at the National Research Council of Canada, in collaboration with the Carleton Cognitive Modeling Lab at Carleton University.
A Research on the Generative Learning Model Supported by Context-Based Learning
ERIC Educational Resources Information Center
Ulusoy, Fatma Merve; Onen, Aysem Seda
2014-01-01
This study is based on the generative learning model which involves context-based learning. Using the generative learning model, we taught the topic of Halogens. This topic is covered in the grade 10 chemistry curriculum using activities which are designed in accordance with the generative learning model supported by context-based learning. The…
Rodgers, Kirsten C; Akintobi, Tabia; Thompson, Winifred Wilkins; Evans, Donoria; Escoffery, Cam; Kegler, Michelle C
2014-06-01
Community-engaged research is effective in addressing health disparities but may present challenges for both academic institutions and community partners. Therefore, the need to build capacity for conducting collaborative research exists. The purpose of this study is to present a model for building research capacity in academic-community partnerships. The Building Collaborative Research Capacity Model was developed as part of the Community Engagement Research Program (CERP) of the Atlanta Clinical and Translational Science Institute (ACTSI). Six domains of collaborative research capacity were identified and used to develop a model. Inputs, activities, outputs, and outcomes of building collaborative research capacity are described. To test this model, a competitive request for applications was widely distributed and four community-based organizations were funded to participate in a 2-year program with the aim of conducting a pilot study and submitting a research proposal for funding to National Institutes of Health or another major funding agency. During the first year, the community-based organization partners were trained on conducting collaborative research and matched with an academic partner from an ACTSI institution. Three of the academic-community partnerships submitted pilot study results and two submitted a grant proposal to a national agency. The Building Collaborative Research Capacity Model is an innovative approach to strengthening academic-community partnerships. This model will help build needed research capacity, serve as a framework for academicians and community partners, and lead to sustainable partnerships that improve community health. © 2013 Society for Public Health Education.
NASA Astrophysics Data System (ADS)
Lufri, L.; Fitri, R.; Yogica, R.
2018-04-01
The purpose of this study is to produce a learning model based on problem solving and meaningful learning standards by expert assessment or validation for the course of Animal Development. This research is a development research that produce the product in the form of learning model, which consist of sub product, namely: the syntax of learning model and student worksheets. All of these products are standardized through expert validation. The research data is the level of validity of all sub products obtained using questionnaire, filled by validators from various field of expertise (field of study, learning strategy, Bahasa). Data were analysed using descriptive statistics. The result of the research shows that the problem solving and meaningful learning model has been produced. Sub products declared appropriate by expert include the syntax of learning model and student worksheet.
NASA Astrophysics Data System (ADS)
Sugiyanto; Wibowo, Supriyadi; Rizky Aristina Suwardi, Vivi
2017-12-01
The severity of the financial crisis that occurred in Indonesia required an early warning system of financial crisis. The financial crisis in Indonesia can be detected based on imports, exports, and foreign exchange reserves. The purpose of the research is to determine an appropriate model to detect the financial crisis in Indonesia based on imports, exports, and foreign exchange reserves. Markov switching is an alternative framework for the approach often used in financial crisis detection. Combined volatility and Markov switching model with three states assumptions can be established if an AR and volatility models have been obtained. Imports, exports, and foreign exchange reserves data from January 1990 to December 2016 have the heteroscedasticity effect so that an ARCH model is used as a volatility model. Research shows that SWARCH(3.1) model is an appropriate model for detecting financial crisis in Indonesia based on imports, exports, and foreign exchange reserves.
NASA Astrophysics Data System (ADS)
Kim, Kwang Hyeon; Lee, Suk; Shim, Jang Bo; Chang, Kyung Hwan; Yang, Dae Sik; Yoon, Won Sup; Park, Young Je; Kim, Chul Yong; Cao, Yuan Jie
2017-08-01
The aim of this study is an integrated research for text-based data mining and toxicity prediction modeling system for clinical decision support system based on big data in radiation oncology as a preliminary research. The structured and unstructured data were prepared by treatment plans and the unstructured data were extracted by dose-volume data image pattern recognition of prostate cancer for research articles crawling through the internet. We modeled an artificial neural network to build a predictor model system for toxicity prediction of organs at risk. We used a text-based data mining approach to build the artificial neural network model for bladder and rectum complication predictions. The pattern recognition method was used to mine the unstructured toxicity data for dose-volume at the detection accuracy of 97.9%. The confusion matrix and training model of the neural network were achieved with 50 modeled plans (n = 50) for validation. The toxicity level was analyzed and the risk factors for 25% bladder, 50% bladder, 20% rectum, and 50% rectum were calculated by the artificial neural network algorithm. As a result, 32 plans could cause complication but 18 plans were designed as non-complication among 50 modeled plans. We integrated data mining and a toxicity modeling method for toxicity prediction using prostate cancer cases. It is shown that a preprocessing analysis using text-based data mining and prediction modeling can be expanded to personalized patient treatment decision support based on big data.
Operationalizing the Concept of Value--An Action Research-Based Model
ERIC Educational Resources Information Center
Naslund, Dag; Olsson, Annika; Karlsson, Sture
2006-01-01
Purpose: While the importance of measuring customer satisfaction levels is well established, less research exists on how organizations operationalize such knowledge. The purpose of this paper is to describe an action research (AR) case study resulting in a workshop model to operationalize the concept of value. The model facilitates organizational…
A Career Success Model for Academics at Malaysian Research Universities
ERIC Educational Resources Information Center
Abu Said, Al-Mansor; Mohd Rasdi, Roziah; Abu Samah, Bahaman; Silong, Abu Daud; Sulaiman, Suzaimah
2015-01-01
Purpose: The purpose of this paper is to develop a career success model for academics at the Malaysian research universities. Design/methodology/approach: Self-administered and online surveys were used for data collection among 325 academics from Malaysian research universities. Findings: Based on the analysis of structural equation modeling, the…
NASA Astrophysics Data System (ADS)
Murtazina, M. Sh; Avdeenko, T. V.
2018-05-01
The state of art and the progress in application of semantic technologies in the field of scientific and research activity have been analyzed. Even elementary empirical comparison has shown that the semantic search engines are superior in all respects to conventional search technologies. However, semantic information technologies are insufficiently used in the field of scientific and research activity in Russia. In present paper an approach to construction of ontological model of knowledge base is proposed. The ontological model is based on the upper-level ontology and the RDF mechanism for linking several domain ontologies. The ontological model is implemented in the Protégé environment.
Problem based learning with scaffolding technique on geometry
NASA Astrophysics Data System (ADS)
Bayuningsih, A. S.; Usodo, B.; Subanti, S.
2018-05-01
Geometry as one of the branches of mathematics has an important role in the study of mathematics. This research aims to explore the effectiveness of Problem Based Learning (PBL) with scaffolding technique viewed from self-regulation learning toward students’ achievement learning in mathematics. The research data obtained through mathematics learning achievement test and self-regulated learning (SRL) questionnaire. This research employed quasi-experimental research. The subjects of this research are students of the junior high school in Banyumas Central Java. The result of the research showed that problem-based learning model with scaffolding technique is more effective to generate students’ mathematics learning achievement than direct learning (DL). This is because in PBL model students are more able to think actively and creatively. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.
Model for the design of distributed data bases
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ram, S.
This research focuses on developing a model to solve the File Allocation Problem (FAP). The model integrates two major design issues, namely Concurrently Control and Data Distribution. The central node locking mechanism is incorporated in developing a nonlinear integer programming model. Two solution algorithms are proposed, one of which was implemented in FORTRAN.V. The allocation of data bases and programs are examined using this heuristic. Several decision rules were also formulated based on the results of the heuristic. A second more comprehensive heuristic was proposed, based on the knapsack problem. The development and implementation of this algorithm has been leftmore » as a topic for future research.« less
Collaboration of Miniature Multi-Modal Mobile Smart Robots over a Network
2015-08-14
theoretical research on mathematics of failures in sensor-network-based miniature multimodal mobile robots and electromechanical systems. The views...theoretical research on mathematics of failures in sensor-network-based miniature multimodal mobile robots and electromechanical systems. The...independently evolving research directions based on physics-based models of mechanical, electromechanical and electronic devices, operational constraints
NASA Astrophysics Data System (ADS)
Munahefi, D. N.; Waluya, S. B.; Rochmad
2018-03-01
The purpose of this research identified the effectiveness of Problem Based Learning (PBL) models based on Self Regulation Leaning (SRL) on the ability of mathematical creative thinking and analyzed the ability of mathematical creative thinking of high school students in solving mathematical problems. The population of this study was students of grade X SMA N 3 Klaten. The research method used in this research was sequential explanatory. Quantitative stages with simple random sampling technique, where two classes were selected randomly as experimental class was taught with the PBL model based on SRL and control class was taught with expository model. The selection of samples at the qualitative stage was non-probability sampling technique in which each selected 3 students were high, medium, and low academic levels. PBL model with SRL approach effectived to students’ mathematical creative thinking ability. The ability of mathematical creative thinking of low academic level students with PBL model approach of SRL were achieving the aspect of fluency and flexibility. Students of academic level were achieving fluency and flexibility aspects well. But the originality of students at the academic level was not yet well structured. Students of high academic level could reach the aspect of originality.
Designing of Holistic Mathematic Education Model Based-"System Among" at Low Grade Elementary School
NASA Astrophysics Data System (ADS)
Hayati, R.; Fauzan, A.; Iswari, M.; Khaidir, A.
2018-04-01
The purpose of this study was to develop a model of Holistic Mathematics Education (HME) among systems based on low-grade primary school students so that students have a solid foundation when entering a higher behavior. This type of research is desaign research developed by Plomp to have three stages, namely the preliminary research, development or prototyping phase, and assessement Phase. This research resulted in a model Holistic Mathematics Education (HME) -based system is among the primary school students low grade consists of 10 stages, namely 1) Recap through the neighborhood, 2) Discussion groups by exploiting the environment, 3) Demonstration Group, 4) Exercise individuals, 5) mathematical modeling, 6) Demonstration of individuals, 7) Reflections, 8) impressions and messages, and giving meaning, 9) Celebrations and 10) A thorough assessment. Furthermore, this model also produces 7 important components that should be developed teacher, namely 1) constructivism, 2) the nature of nature, 3) independence, 4) parable, 5) inquiry, 6) cooperation, and 7) strengthening. This model will produce a model in the form of books, student books and teacher's guide book as a support system that can help users in its application.
Price vs. Performance: The Value of Next Generation Fighter Aircraft
2007-03-01
forms. Both the semi-log and log-log forms were plagued with heteroskedasticity (according to the Breusch - Pagan /Cook-Weisberg test ). The RDT&E models...from 1949-present were used to construct two models – one based on procurement costs and one based on research, design, test , and evaluation (RDT&E...fighter aircraft hedonic models include several different categories of variables. Aircraft procurement costs and research, design, test , and
Experiential Approaches to Teaching Survey Research: Role Strains and Relationships.
ERIC Educational Resources Information Center
Suelzle, Marijean; And Others
Research and instructional role strains are identified, based on the use of large-scale mail surveys for college self-study that are used to teach introductory research methodology. The two organizational hierarchies, the research model and the instructional model, are examined. Experiences at Northwestern University, Northeastern Illinois…
USDA-ARS?s Scientific Manuscript database
The use of swine in biomedical research has increased dramatically in the last decade. Diverse genomic- and proteomic databases have been developed to facilitate research using human and rodent models. Current porcine gene databases, however, lack the robust annotation to study pig models that are...
Theory and Practice in Participatory Research: Lessons from the Native Elder Care Study
ERIC Educational Resources Information Center
Goins, R. Turner; Garroutte, Eva Marie; Fox, Susan Leading; Geiger, Sarah Dee; Manson, Spero M.
2011-01-01
Models for community-based participatory research (CBPR) urge academic investigators to collaborate with communities to identify and pursue research questions, processes, and outcomes valuable to both partners. The tribal participatory research (TPR) conceptual model suggests modifications to CBPR to fit the special needs of American Indian…
Research in Distance Education: A System Modeling Approach.
ERIC Educational Resources Information Center
Saba, Farhad; Twitchell, David
This demonstration of the use of a computer simulation research method based on the System Dynamics modeling technique for studying distance education reviews research methods in distance education, including the broad categories of conceptual and case studies, and presents a rationale for the application of systems research in this area. The…
Marshall, Thomas; Champagne-Langabeer, Tiffiany; Castelli, Darla; Hoelscher, Deanna
2017-12-01
To present research models based on artificial intelligence and discuss the concept of cognitive computing and eScience as disruptive factors in health and life science research methodologies. The paper identifies big data as a catalyst to innovation and the development of artificial intelligence, presents a framework for computer-supported human problem solving and describes a transformation of research support models. This framework includes traditional computer support; federated cognition using machine learning and cognitive agents to augment human intelligence; and a semi-autonomous/autonomous cognitive model, based on deep machine learning, which supports eScience. The paper provides a forward view of the impact of artificial intelligence on our human-computer support and research methods in health and life science research. By augmenting or amplifying human task performance with artificial intelligence, cognitive computing and eScience research models are discussed as novel and innovative systems for developing more effective adaptive obesity intervention programs.
ERIC Educational Resources Information Center
Romance, Nancy R.; Vitale, Michael R.
2012-01-01
Science IDEAS is an evidence-based model that reflects interdisciplinary research findings that support the integration of literacy (e.g., reading comprehension) within science instruction in grades K-5. Presented is a framework for planning integrated science and literacy instruction in which six elements (hands-on investigations, reading,…
Comparing Distance vs. Campus-Based Delivery of Research Methods Courses
ERIC Educational Resources Information Center
Girod, Mark; Wojcikiewicz, Steve
2009-01-01
A causal-comparative pre-test, post-test design was used to investigate differences in learning in a research methods course for face-to-face and web-based delivery models. Analyses of participant achievement (N = 205) revealed almost no differences but post-hoc analyses revealed important differences in pedagogy between delivery models despite…
ERIC Educational Resources Information Center
Champagne, Tiffany
2013-01-01
The purpose of this dissertation research was to critically examine the development of community-based health information exchanges (HIEs) and to comparatively analyze the various models of exchanges in operation today nationally. Specifically this research sought to better understand several aspects of HIE: policy influences, organizational…
Impact of Model-Based Teaching on Argumentation Skills
ERIC Educational Resources Information Center
Ogan-Bekiroglu, Feral; Belek, Deniz Eren
2014-01-01
The purpose of this study was to examine effects of model-based teaching on students' argumentation skills. Experimental design guided to the research. The participants of the study were pre-service physics teachers. The argumentative intervention lasted seven weeks. Data for this research were collected via video recordings and written arguments.…
Development of syntax of intuition-based learning model in solving mathematics problems
NASA Astrophysics Data System (ADS)
Yeni Heryaningsih, Nok; Khusna, Hikmatul
2018-01-01
The aim of the research was to produce syntax of Intuition Based Learning (IBL) model in solving mathematics problem for improving mathematics students’ achievement that valid, practical and effective. The subject of the research were 2 classes in grade XI students of SMAN 2 Sragen, Central Java. The type of the research was a Research and Development (R&D). Development process adopted Plomp and Borg & Gall development model, they were preliminary investigation step, design step, realization step, evaluation and revision step. Development steps were as follow: (1) Collected the information and studied of theories in Preliminary Investigation step, studied about intuition, learning model development, students condition, and topic analysis, (2) Designed syntax that could bring up intuition in solving mathematics problem and then designed research instruments. They were several phases that could bring up intuition, Preparation phase, Incubation phase, Illumination phase and Verification phase, (3) Realized syntax of Intuition Based Learning model that has been designed to be the first draft, (4) Did validation of the first draft to the validator, (5) Tested the syntax of Intuition Based Learning model in the classrooms to know the effectiveness of the syntax, (6) Conducted Focus Group Discussion (FGD) to evaluate the result of syntax model testing in the classrooms, and then did the revision on syntax IBL model. The results of the research were produced syntax of IBL model in solving mathematics problems that valid, practical and effective. The syntax of IBL model in the classroom were, (1) Opening with apperception, motivations and build students’ positive perceptions, (2) Teacher explains the material generally, (3) Group discussion about the material, (4) Teacher gives students mathematics problems, (5) Doing exercises individually to solve mathematics problems with steps that could bring up students’ intuition: Preparations, Incubation, Illumination, and Verification, (6) Closure with the review of students have learned or giving homework.
Hong, Taehoon; Koo, Choongwan; Kim, Hyunjoong
2012-12-15
The number of deteriorated multi-family housing complexes in South Korea continues to rise, and consequently their electricity consumption is also increasing. This needs to be addressed as part of the nation's efforts to reduce energy consumption. The objective of this research was to develop a decision support model for determining the need to improve multi-family housing complexes. In this research, 1664 cases located in Seoul were selected for model development. The research team collected the characteristics and electricity energy consumption data of these projects in 2009-2010. The following were carried out in this research: (i) using the Decision Tree, multi-family housing complexes were clustered based on their electricity energy consumption; (ii) using Case-Based Reasoning, similar cases were retrieved from the same cluster; and (iii) using a combination of Multiple Regression Analysis, Artificial Neural Network, and Genetic Algorithm, the prediction performance of the developed model was improved. The results of this research can be used as follows: (i) as basic research data for continuously managing several energy consumption data of multi-family housing complexes; (ii) as advanced research data for predicting energy consumption based on the project characteristics; (iii) as practical research data for selecting the most optimal multi-family housing complex with the most potential in terms of energy savings; and (iv) as consistent and objective criteria for incentives and penalties. Copyright © 2012 Elsevier Ltd. All rights reserved.
Research on monocentric model of urbanization by agent-based simulation
NASA Astrophysics Data System (ADS)
Xue, Ling; Yang, Kaizhong
2008-10-01
Over the past years, GIS have been widely used for modeling urbanization from a variety of perspectives such as digital terrain representation and overlay analysis using cell-based data platform. Similarly, simulation of urban dynamics has been achieved with the use of Cellular Automata. In contrast to these approaches, agent-based simulation provides a much more powerful set of tools. This allows researchers to set up a counterpart for real environmental and urban systems in computer for experimentation and scenario analysis. This Paper basically reviews the research on the economic mechanism of urbanization and an agent-based monocentric model is setup for further understanding the urbanization process and mechanism in China. We build an endogenous growth model with dynamic interactions between spatial agglomeration and urban development by using agent-based simulation. It simulates the migration decisions of two main types of agents, namely rural and urban households between rural and urban area. The model contains multiple economic interactions that are crucial in understanding urbanization and industrial process in China. These adaptive agents can adjust their supply and demand according to the market situation by a learning algorithm. The simulation result shows this agent-based urban model is able to perform the regeneration and to produce likely-to-occur projections of reality.
Economic communication model set
NASA Astrophysics Data System (ADS)
Zvereva, Olga M.; Berg, Dmitry B.
2017-06-01
This paper details findings from the research work targeted at economic communications investigation with agent-based models usage. The agent-based model set was engineered to simulate economic communications. Money in the form of internal and external currencies was introduced into the models to support exchanges in communications. Every model, being based on the general concept, has its own peculiarities in algorithm and input data set since it was engineered to solve the specific problem. Several and different origin data sets were used in experiments: theoretic sets were estimated on the basis of static Leontief's equilibrium equation and the real set was constructed on the basis of statistical data. While simulation experiments, communication process was observed in dynamics, and system macroparameters were estimated. This research approved that combination of an agent-based and mathematical model can cause a synergetic effect.
ERIC Educational Resources Information Center
Moore, Corey L.; Manyibe, Edward O.; Sanders, Perry; Aref, Fariborz; Washington, Andre L.; Robertson, Cherjuan Y.
2017-01-01
Purpose: The purpose of this multimethod study was to evaluate the institutional research capacity building and infrastructure model (IRCBIM), an emerging innovative and integrated approach designed to build, strengthen, and sustain adequate disability and health research capacity (i.e., research infrastructure and investigators' research skills)…
Hou, Zeyu; Lu, Wenxi; Xue, Haibo; Lin, Jin
2017-08-01
Surrogate-based simulation-optimization technique is an effective approach for optimizing the surfactant enhanced aquifer remediation (SEAR) strategy for clearing DNAPLs. The performance of the surrogate model, which is used to replace the simulation model for the aim of reducing computation burden, is the key of corresponding researches. However, previous researches are generally based on a stand-alone surrogate model, and rarely make efforts to improve the approximation accuracy of the surrogate model to the simulation model sufficiently by combining various methods. In this regard, we present set pair analysis (SPA) as a new method to build ensemble surrogate (ES) model, and conducted a comparative research to select a better ES modeling pattern for the SEAR strategy optimization problems. Surrogate models were developed using radial basis function artificial neural network (RBFANN), support vector regression (SVR), and Kriging. One ES model is assembling RBFANN model, SVR model, and Kriging model using set pair weights according their performance, and the other is assembling several Kriging (the best surrogate modeling method of three) models built with different training sample datasets. Finally, an optimization model, in which the ES model was embedded, was established to obtain the optimal remediation strategy. The results showed the residuals of the outputs between the best ES model and simulation model for 100 testing samples were lower than 1.5%. Using an ES model instead of the simulation model was critical for considerably reducing the computation time of simulation-optimization process and maintaining high computation accuracy simultaneously. Copyright © 2017 Elsevier B.V. All rights reserved.
Diversity and Community: The Role of Agent-Based Modeling.
Stivala, Alex
2017-06-01
Community psychology involves several dialectics between potentially opposing ideals, such as theory and practice, rights and needs, and respect for human diversity and sense of community. Some recent papers in the American Journal of Community Psychology have examined the diversity-community dialectic, some with the aid of agent-based modeling and concepts from network science. This paper further elucidates these concepts and suggests that research in community psychology can benefit from a useful dialectic between agent-based modeling and the real-world concerns of community psychology. © Society for Community Research and Action 2017.
Systematic Reviews of Animal Models: Methodology versus Epistemology
Greek, Ray; Menache, Andre
2013-01-01
Systematic reviews are currently favored methods of evaluating research in order to reach conclusions regarding medical practice. The need for such reviews is necessitated by the fact that no research is perfect and experts are prone to bias. By combining many studies that fulfill specific criteria, one hopes that the strengths can be multiplied and thus reliable conclusions attained. Potential flaws in this process include the assumptions that underlie the research under examination. If the assumptions, or axioms, upon which the research studies are based, are untenable either scientifically or logically, then the results must be highly suspect regardless of the otherwise high quality of the studies or the systematic reviews. We outline recent criticisms of animal-based research, namely that animal models are failing to predict human responses. It is this failure that is purportedly being corrected via systematic reviews. We then examine the assumption that animal models can predict human outcomes to perturbations such as disease or drugs, even under the best of circumstances. We examine the use of animal models in light of empirical evidence comparing human outcomes to those from animal models, complexity theory, and evolutionary biology. We conclude that even if legitimate criticisms of animal models were addressed, through standardization of protocols and systematic reviews, the animal model would still fail as a predictive modality for human response to drugs and disease. Therefore, systematic reviews and meta-analyses of animal-based research are poor tools for attempting to reach conclusions regarding human interventions. PMID:23372426
The Iterative Research Cycle: Process-Based Model Evaluation
NASA Astrophysics Data System (ADS)
Vrugt, J. A.
2014-12-01
The ever increasing pace of computational power, along with continued advances in measurement technologies and improvements in process understanding has stimulated the development of increasingly complex physics based models that simulate a myriad of processes at different spatial and temporal scales. Reconciling these high-order system models with perpetually larger volumes of field data is becoming more and more difficult, particularly because classical likelihood-based fitting methods lack the power to detect and pinpoint deficiencies in the model structure. In this talk I will give an overview of our latest research on process-based model calibration and evaluation. This approach, rooted in Bayesian theory, uses summary metrics of the calibration data rather than the data itself to help detect which component(s) of the model is (are) malfunctioning and in need of improvement. A few case studies involving hydrologic and geophysical models will be used to demonstrate the proposed methodology.
The Agent-based Approach: A New Direction for Computational Models of Development.
ERIC Educational Resources Information Center
Schlesinger, Matthew; Parisi, Domenico
2001-01-01
Introduces the concepts of online and offline sampling and highlights the role of online sampling in agent-based models of learning and development. Compares the strengths of each approach for modeling particular developmental phenomena and research questions. Describes a recent agent-based model of infant causal perception. Discusses limitations…
ERIC Educational Resources Information Center
Knutson, Kristopher; Smith, Jennifer; Nichols, Paul; Wallert, Mark A.; Provost, Joseph J.
2010-01-01
Research-based learning in a teaching environment is an effective way to help bring the excitement and experience of independent bench research to a large number of students. The program described here is the second of a two-semester biochemistry laboratory series. Here, students are empowered to design, execute and analyze their own experiments…
The Teaching-Research Gestalt: The Development of a Discipline-Based Scale
ERIC Educational Resources Information Center
Duff, Angus; Marriott, Neil
2017-01-01
This paper reports the development and empirical testing of a model of the factors that influence the teaching-research nexus. No prior work has attempted to create a measurement model of the nexus. The conceptual model is derived from 19 propositions grouped into four sets of factors relating to: rewards, researchers, curriculum, and students.…
Models of research-operational collaboration for behavioral health in space.
Palinkas, Lawrence A; Allred, Charlene A; Landsverk, John A
2005-06-01
Addressing the behavioral health needs of astronauts clearly requires collaborations involving researchers, clinicians and operational support personnel, program administrators, and the astronauts themselves. However, such collaborations are often compromised by a failure to understand the needs, priorities, constraints, and preferences of potential collaborators. This failure, in turn, can lead to research of poor quality, implementation of programs and procedures that are not evidence-based, and an increased risk of morbidity and mission failure. The experiences of social marketing strategies in health promotion and disease prevention, cultural exchange between developers of evidence-based treatments and consumers, and dissemination and implementation of evidence-based practices in mental health services offer three different models of research-operational collaboration with relevance to behavioral health in space. Central to each of these models are the patterns of interpersonal relations and the individual, social, and organizational characteristics that influence these patterns. Any program or countermeasure for behavioral health in space must be both needs-based and evidence-based. The successful development, dissemination, implementation, and sustainability of such a program require communication, collaboration, and consensus among all key stakeholders. To accomplish this, all stakeholders must participate in creating a culture of operational research.
ERIC Educational Resources Information Center
Yavuz Konokman, Gamze; Yanpar Yelken, Tugba
2016-01-01
The purpose of the study was to determine the effect of preparing digital stories through an inquiry based learning approach on prospective teachers' resistive behaviors toward technology based instruction and conducting research. The research model was convergent parallel design. The sample consisted of 50 prospective teachers who had completed…
Disorders without borders: current and future directions in the meta-structure of mental disorders.
Carragher, Natacha; Krueger, Robert F; Eaton, Nicholas R; Slade, Tim
2015-03-01
Classification is the cornerstone of clinical diagnostic practice and research. However, the extant psychiatric classification systems are not well supported by research evidence. In particular, extensive comorbidity among putatively distinct disorders flags an urgent need for fundamental changes in how we conceptualize psychopathology. Over the past decade, research has coalesced on an empirically based model that suggests many common mental disorders are structured according to two correlated latent dimensions: internalizing and externalizing. We review and discuss the development of a dimensional-spectrum model which organizes mental disorders in an empirically based manner. We also touch upon changes in the DSM-5 and put forward recommendations for future research endeavors. Our review highlights substantial empirical support for the empirically based internalizing-externalizing model of psychopathology, which provides a parsimonious means of addressing comorbidity. As future research goals, we suggest that the field would benefit from: expanding the meta-structure of psychopathology to include additional disorders, development of empirically based thresholds, inclusion of a developmental perspective, and intertwining genomic and neuroscience dimensions with the empirical structure of psychopathology.
Wilkin, John L.; Rosenfeld, Leslie; Allen, Arthur; Baltes, Rebecca; Baptista, Antonio; He, Ruoying; Hogan, Patrick; Kurapov, Alexander; Mehra, Avichal; Quintrell, Josie; Schwab, David; Signell, Richard; Smith, Jane
2017-01-01
This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a cross-section of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3–8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal–academic partnerships benefiting IOOS stakeholders and end users.
Implementing Scientific-Based Research: Learning from the History of the Reading First Program
ERIC Educational Resources Information Center
Mohammed, Shereeza; Walker, David A.; Conderman, Greg; Pasapia, John
2016-01-01
The No Child Left Behind Act requires that educators at all grade levels use Scientifically Based Research (SBR) instructional practices. Researchers constructed a literature-based model to examine the predictive relationship between a state's comprehensiveness of planned implementation and its capacity to implement the plan. An approach comprised…
Effects of a Preschool Mathematics Curriculum: Summative Research on the "Building Blocks" Project
ERIC Educational Resources Information Center
Clements, Douglas H.; Sarama, Julie
2007-01-01
This study evaluated the efficacy of a preschool mathematics program based on a comprehensive model of developing research-based software and print curricula. Building Blocks, funded by the National Science Foundation, is a curriculum development project focused on creating research-based, technology-enhanced mathematics materials for pre-K…
James, Rosalina; Starks, Helene; Segrest, Valerie Ann; Burke, Wylie
2012-01-01
Higher education has long made efforts to increase underrepresented minority participation in biomedical research and health fields. However, relatively few minority trainees complete advanced degrees or proceed to independent research careers, a loss referred to as the "leaky pipeline." Minority trainees may take alternate pathways to climbing the academic ladder, exiting to pursue multiple disciplinary or community-serving roles. The authors propose a model for understanding minority departures from the education pipeline as a basis for supporting careers that align with community goals for health. Concepts of the traditional pipeline training model are compared with a model that aligns with community-based participatory research (CBPR) principles and practices. The article describes an irrigation model that incorporates informal learning from academic and community knowledge bases to prepare trainees for CBPR and interdisciplinary research. Students serve as agents that foster individual, institutional, and social change needed to address health problems while attending to root causes of disparities. Viewing minority students as agents for community engagement allows institutions to reassess the role training can play in diversifying participation in higher education and research. An irrigation model supports development of an infrastructure that optimizes success at all post-secondary levels, and enhances CBPR capacity wherever trainees live, work, and learn. Linking formal education to informal learning in context of CBPR experiences can also reduce community mistrust of research while nurturing productive research partnerships with communities to address health disparities.
James, Rosalina; Starks, Helene; Segrest, Valerie; Burke, Wylie
2014-01-01
Background Higher education has long made efforts to increase underrepresented minority participation in biomedical research and health fields. However, relatively few minority trainees complete advanced degrees or proceed to independent research careers, a loss referred to as the “leaky pipeline.” Minority trainees may take alternate pathways to climbing the academic ladder, exiting to pursue multiple disciplinary or community-serving roles. Objective The authors propose a model for understanding minority departures from the education pipeline as a basis for nurturing careers that support community goals for health. Methods Concepts of the traditional pipeline training model are compared with a model that aligns with CBPR principles and practices. The article describes an irrigation model that incorporates informal learning from academic and community knowledge bases to prepare trainees for CBPR and interdisciplinary research. Students serve as agents that foster individual, institutional and social change needed to address health problems while attending to root causes of disparities. Conclusions Viewing minority students as agents for community engagement allows institutions to reassess the role training can play in diversifying participation in higher education and research. An irrigation model supports development of an infrastructure that optimizes success at all post-secondary levels, and enhances CBPR capacity wherever trainees live, work, and learn. Linking formal education to informal learning in context of community-based participatory research experiences can also reduce community mistrust of research while nurturing productive research partnerships with communities to address health disparities. PMID:23221293
NASA Astrophysics Data System (ADS)
Darma, I. K.
2018-01-01
This research is aimed at determining: 1) the differences of mathematical problem solving ability between the students facilitated with problem-based learning model and conventional learning model, 2) the differences of mathematical problem solving ability between the students facilitated with authentic and conventional assessment model, and 3) interaction effect between learning and assessment model on mathematical problem solving. The research was conducted in Bali State Polytechnic, using the 2x2 experiment factorial design. The samples of this research were 110 students. The data were collected using a theoretically and empirically-validated test. Instruments were validated by using Aiken’s approach of technique content validity and item analysis, and then analyzed using anova stylistic. The result of the analysis shows that the students facilitated with problem-based learning and authentic assessment models get the highest score average compared to the other students, both in the concept understanding and mathematical problem solving. The result of hypothesis test shows that, significantly: 1) there is difference of mathematical problem solving ability between the students facilitated with problem-based learning model and conventional learning model, 2) there is difference of mathematical problem solving ability between the students facilitated with authentic assessment model and conventional assessment model, and 3) there is interaction effect between learning model and assessment model on mathematical problem solving. In order to improve the effectiveness of mathematics learning, collaboration between problem-based learning model and authentic assessment model can be considered as one of learning models in class.
Evidence-based dentistry: a model for clinical practice.
Faggion, Clóvis M; Tu, Yu-Kang
2007-06-01
Making decisions in dentistry should be based on the best evidence available. The objective of this study was to demonstrate a practical procedure and model that clinicians can use to apply the results of well-conducted studies to patient care by critically appraising the evidence with checklists and letter grade scales. To demonstrate application of this model for critically appraising the quality of research evidence, a hypothetical case involving an adult male with chronic periodontitis is used as an example. To determine the best clinical approach for this patient, a four-step, evidence-based model is demonstrated, consisting of the following: definition of a research question using the PICO format, search and selection of relevant literature, critical appraisal of identified research reports using checklists, and the application of evidence. In this model, the quality of research evidence was assessed quantitatively based on different levels of quality that are assigned letter grades of A, B, and C by evaluating the studies against the QUOROM (Quality of Reporting Meta-Analyses) and CONSORT (Consolidated Standards of Reporting Trials) checklists in a tabular format. For this hypothetical periodontics case, application of the model identified the best available evidence for clinical decision making, i.e., one randomized controlled trial and one systematic review of randomized controlled trials. Both studies showed similar answers for the research question. The use of a letter grade scale allowed an objective analysis of the quality of evidence. A checklist-driven model that assesses and applies evidence to dental practice may substantially improve dentists' decision making skill.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Finley, Cathy
2014-04-30
This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements inmore » wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times.« less
Integral Methodological Pluralism in Science Education Research: Valuing Multiple Perspectives
ERIC Educational Resources Information Center
Davis, Nancy T.; Callihan, Laurie P.
2013-01-01
This article examines the multiple methodologies used in educational research and proposes a model that includes all of them as contributing to understanding educational contexts and research from multiple perspectives. The model, based on integral theory (Wilber in a theory of everything. Shambhala, Boston, 2000) values all forms of research as…
ERIC Educational Resources Information Center
Ford, Julie Dyke; Bracken, Jennifer L.; Wilson, Gregory D.
2009-01-01
This article addresses previous arguments that call for increased emphasis on research in technical communication programs. Focusing on the value of scholarly-based research at the undergraduate level, we present New Mexico Tech's thesis model as an example of helping students develop familiarity with research skills and methods. This two-semester…
NASA Astrophysics Data System (ADS)
Hug, J. William
1998-09-01
This research presents a teaching model designed to enable learners to construct a highly developed ecological perspective and sense of place. The contextually-based research process draws upon scientific and indigenous knowledge from multiple data sources including: autobiographical experiences, environmental literature, science and environmental education research, historical approaches to environmental education, and phenomenological accounts from research participants. Data were analyzed using the theoretical frameworks of qualitative research, hermeneutic phenomenology, heuristics, and constructivism. The resulting model synthesizes and incorporates key educational philosophies and practices from: nature study, resident outdoor education, organized camping, conservation education, environmental education, earth education, outdoor recreation, sustainability, bio-regionalism, deep ecology, ecological and environmental literacy, science and technology in society, and adventure/challenge/experiential education. The model's four components--environmental knowledge, practicing responsible environmental behaviors, community-focused involvement, and direct experience in outdoor settings--contribute in a synergistic way to the development of ecological perspective and a sense of place. The model was honed through experiential use in an environmental science methods course for elementary and secondary prospective science teachers. The instructor/researcher employed individualized instruction, community-based learning, service learning, and the modeling of reflective teaching principles in pursuit of the model's goals. The resulting pedagogical knowledge extends the model's usefulness to such formal and non-formal educational contexts as: elementary/secondary classrooms, nature centers, museums, youth groups, and community organizations. This research has implications for the fields of education, geography, recreation/leisure studies, science teaching, and environmental education. Several aspects of this work make it novel. First, autobiographical and literature-based stories anchor the representations of ecological perspective and sense of place. Second, the dissertation text visually differentiates between story narrative, researcher narrative, and meta-narrative in order to convey the positionality of the researcher's distinct voices. Finally, icons are used throughout the text to visually link the model's multi-dimensional intersections. Oh, and by the way, I hope you read it.
ERIC Educational Resources Information Center
Bennett, Susanne; Saks, Loretta Vitale
2006-01-01
This article conceptualizes an attachment-based model of the student-field instructor relationship, based on empirical research concerning internal working models of attachment, which continue into adulthood and serve as templates for life-long relating. Supportive relationships within a noncritical context are salient for effective supervision;…
No Child Left Behind: Factory Models and Business Paradigms
ERIC Educational Resources Information Center
Johnson, Andrew P.
2006-01-01
Because No Child Left Behind (NCLB) is not based on educational research or research-based theory, it offers no new innovations nor does anything to improve the fundamental quality of education. NCLB is built on a rigid, outdated factory model in which students step onto a thirteen-year conveyor belt in kindergarten and progress slowly forward,…
2000-01-01
Fast Track is a multisite, multicomponent preventive intervention for young children at high risk for long-term antisocial behavior. Based on a comprehensive developmental model, this intervention includes a universal-level classroom program plus social-skill training, academic tutoring, parent training, and home visiting to improve competencies and reduce problems in a high-risk group of children selected in kindergarten. The theoretical principles and clinical strategies utilized in the Fast Track Project are described to illustrate the interplay between basic developmental research, the understanding of risk and protective factors, and a research-based model of preventive intervention that integrates universal and indicated models of prevention.
Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review
Misra, Sarthak; Ramesh, K. T.; Okamura, Allison M.
2009-01-01
Surgical simulators present a safe and potentially effective method for surgical training, and can also be used in robot-assisted surgery for pre- and intra-operative planning. Accurate modeling of the interaction between surgical instruments and organs has been recognized as a key requirement in the development of high-fidelity surgical simulators. Researchers have attempted to model tool-tissue interactions in a wide variety of ways, which can be broadly classified as (1) linear elasticity-based, (2) nonlinear (hyperelastic) elasticity-based finite element (FE) methods, and (3) other techniques that not based on FE methods or continuum mechanics. Realistic modeling of organ deformation requires populating the model with real tissue data (which are difficult to acquire in vivo) and simulating organ response in real time (which is computationally expensive). Further, it is challenging to account for connective tissue supporting the organ, friction, and topological changes resulting from tool-tissue interactions during invasive surgical procedures. Overcoming such obstacles will not only help us to model tool-tissue interactions in real time, but also enable realistic force feedback to the user during surgical simulation. This review paper classifies the existing research on tool-tissue interactions for surgical simulators specifically based on the modeling techniques employed and the kind of surgical operation being simulated, in order to inform and motivate future research on improved tool-tissue interaction models. PMID:20119508
Consumer psychology: categorization, inferences, affect, and persuasion.
Loken, Barbara
2006-01-01
This chapter reviews research on consumer psychology with emphasis on the topics of categorization, inferences, affect, and persuasion. The chapter reviews theory-based empirical research during the period 1994-2004. Research on categorization includes empirical research on brand categories, goals as organizing frameworks and motivational bases for judgments, and self-based processing. Research on inferences includes numerous types of inferences that are cognitively and/or experienced based. Research on affect includes the effects of mood on processing and cognitive and noncognitive bases for attitudes and intentions. Research on persuasion focuses heavily on the moderating role of elaboration and dual-process models, and includes research on attitude strength responses, advertising responses, and negative versus positive evaluative dimensions.
Yellepeddi, Venkata; Rower, Joseph; Liu, Xiaoxi; Kumar, Shaun; Rashid, Jahidur; Sherwin, Catherine M T
2018-05-18
Physiologically based pharmacokinetic modeling and simulation is an important tool for predicting the pharmacokinetics, pharmacodynamics, and safety of drugs in pediatrics. Physiologically based pharmacokinetic modeling is applied in pediatric drug development for first-time-in-pediatric dose selection, simulation-based trial design, correlation with target organ toxicities, risk assessment by investigating possible drug-drug interactions, real-time assessment of pharmacokinetic-safety relationships, and assessment of non-systemic biodistribution targets. This review summarizes the details of a physiologically based pharmacokinetic modeling approach in pediatric drug research, emphasizing reports on pediatric physiologically based pharmacokinetic models of individual drugs. We also compare and contrast the strategies employed by various researchers in pediatric physiologically based pharmacokinetic modeling and provide a comprehensive overview of physiologically based pharmacokinetic modeling strategies and approaches in pediatrics. We discuss the impact of physiologically based pharmacokinetic models on regulatory reviews and product labels in the field of pediatric pharmacotherapy. Additionally, we examine in detail the current limitations and future directions of physiologically based pharmacokinetic modeling in pediatrics with regard to the ability to predict plasma concentrations and pharmacokinetic parameters. Despite the skepticism and concern in the pediatric community about the reliability of physiologically based pharmacokinetic models, there is substantial evidence that pediatric physiologically based pharmacokinetic models have been used successfully to predict differences in pharmacokinetics between adults and children for several drugs. It is obvious that the use of physiologically based pharmacokinetic modeling to support various stages of pediatric drug development is highly attractive and will rapidly increase, provided the robustness and reliability of these techniques are well established.
E-Beam Capture Aid Drawing Based Modelling on Cell Biology
NASA Astrophysics Data System (ADS)
Hidayat, T.; Rahmat, A.; Redjeki, S.; Rahman, T.
2017-09-01
The objectives of this research are to find out how far Drawing-based Modeling assisted with E-Beam Capture could support student’s scientific reasoning skill using Drawing - based Modeling approach assisted with E-Beam Capture. The research design that is used for this research is the Pre-test and Post-test Design. The data collection of scientific reasoning skills is collected by giving multiple choice questions before and after the lesson. The data analysis of scientific reasoning skills is using scientific reasoning assessment rubric. The results show an improvement of student’s scientific reasoning in every indicator; an improvement in generativity which shows 2 students achieving high scores, 3 students in elaboration reasoning, 4 students in justification, 3 students in explanation, 3 students in logic coherency, 2 students in synthesis. The research result in student’s explanation reasoning has the highest number of students with high scores, which shows 20 students with high scores in the pre-test and 23 students in post-test and synthesis reasoning shows the lowest number, which shows 1 student in the pretest and 3 students in posttest. The research result gives the conclusion that Drawing-based Modeling approach assisted with E-Beam Capture could not yet support student’s scientific reasoning skills comprehensively.
Beliefs and Gender Differences: A New Model for Research in Mathematics Education
ERIC Educational Resources Information Center
Li, Qing
2004-01-01
The major focus of this study is to propose a new research model, namely the Modified CGI gender model, for the study of gender differences in mathematics. This model is developed based on Fennema, Carpenter, and Peterson's (1989) CGI model. To examine the validity of this new model, this study also examines the gender differences in teacher and…
Character and Local Wisdom-Based Instructional Model of Bahasa Indonesia in Vocational High Schools
ERIC Educational Resources Information Center
Anggraini, Purwati; Kusniarti, Tuti
2017-01-01
This research aimed at establishing a character and local wisdom-based instructional model of Bahasa Indonesia. The learning model based on local wisdom literature is very important to prepared, because this model can enrich the knowledge and develop the character of students. Meanwhile, the textbook can broaden the student teachers about the…
Reacting Chemistry Based Burn Model for Explosive Hydrocodes
NASA Astrophysics Data System (ADS)
Schwaab, Matthew; Greendyke, Robert; Steward, Bryan
2017-06-01
Currently, in hydrocodes designed to simulate explosive material undergoing shock-induced ignition, the state of the art is to use one of numerous reaction burn rate models. These burn models are designed to estimate the bulk chemical reaction rate. Unfortunately, these models are largely based on empirical data and must be recalibrated for every new material being simulated. We propose that the use of an equilibrium Arrhenius rate reacting chemistry model in place of these empirically derived burn models will improve the accuracy for these computational codes. Such models have been successfully used in codes simulating the flow physics around hypersonic vehicles. A reacting chemistry model of this form was developed for the cyclic nitramine RDX by the Naval Research Laboratory (NRL). Initial implementation of this chemistry based burn model has been conducted on the Air Force Research Laboratory's MPEXS multi-phase continuum hydrocode. In its present form, the burn rate is based on the destruction rate of RDX from NRL's chemistry model. Early results using the chemistry based burn model show promise in capturing deflagration to detonation features more accurately in continuum hydrocodes than previously achieved using empirically derived burn models.
Fisher, Philip A.
2017-01-01
The use of theory-driven models to develop and evaluate family-based intervention programs has a long history in psychology. Some of the first evidence-based parenting programs to address child problem behavior, developed in the 1970s, were grounded in causal models derived from longitudinal developmental research. The same translational strategies can also be applied to designing programs that leverage emerging scientific knowledge about the effects of early adverse experiences on neurobiological systems to reduce risk and promote well-being. By specifying not only behavioral targets but also affected underlying neural systems, interventions can become more precise and efficient. This chapter describes the development of a program of research focusing on an intervention for young children in foster care. The intervention emerged from social learning theory research and employs a translational neuroscience approach. The conceptual model guiding the research, which incorporates behavioral domains as well as stress-regulatory neural systems, is described. Finally, future directions for translational neuroscience in family-based intervention research are considered. PMID:27589501
How Much? Cost Models for Online Education.
ERIC Educational Resources Information Center
Lorenzo, George
2001-01-01
Reviews some of the research being done in the area of cost models for online education. Describes a cost analysis handbook; an activity-based costing model that was based on an economic model for traditional instruction at the Indiana University Purdue University Indianapolis; and blending other costing models. (LRW)
Cook, J L; Rio, E; Purdam, C R; Docking, S I
2016-01-01
The pathogenesis of tendinopathy and the primary biological change in the tendon that precipitates pathology have generated several pathoaetiological models in the literature. The continuum model of tendon pathology, proposed in 2009, synthesised clinical and laboratory-based research to guide treatment choices for the clinical presentations of tendinopathy. While the continuum has been cited extensively in the literature, its clinical utility has yet to be fully elucidated. The continuum model proposed a model for staging tendinopathy based on the changes and distribution of disorganisation within the tendon. However, classifying tendinopathy based on structure in what is primarily a pain condition has been challenged. The interplay between structure, pain and function is not yet fully understood, which has partly contributed to the complex clinical picture of tendinopathy. Here we revisit and assess the merit of the continuum model in the context of new evidence. We (1) summarise new evidence in tendinopathy research in the context of the continuum, (2) discuss tendon pain and the relevance of a model based on structure and (3) describe relevant clinical elements (pain, function and structure) to begin to build a better understanding of the condition. Our goal is that the continuum model may help guide targeted treatments and improved patient outcomes. PMID:27127294
ERIC Educational Resources Information Center
Murphy, Gregory J.
2012-01-01
This quantitative study explores the 2010 recommendation of the Educational Funding Advisory Board to consider the Evidence-Based Adequacy model of school funding in Illinois. This school funding model identifies and costs research based practices necessary in a prototypical school and sets funding levels based upon those practices. This study…
The Effect of Modeling Based Science Education on Critical Thinking
ERIC Educational Resources Information Center
Bati, Kaan; Kaptan, Fitnat
2015-01-01
In this study to what degree the modeling based science education can influence the development of the critical thinking skills of the students was investigated. The research was based on pre-test-post-test quasi-experimental design with control group. The Modeling Based Science Education Program which was prepared with the purpose of exploring…
Cacari-Stone, Lisa; Garcia, Analilia P.; Minkler, Meredith
2014-01-01
Insufficient attention has been paid to how research can be leveraged to promote health policy or how locality-based research strategies, in particular community-based participatory research (CBPR), influences health policy to eliminate racial and ethnic health inequities. To address this gap, we highlighted the efforts of 2 CBPR partnerships in California to explore how these initiatives made substantial contributions to policymaking for health equity. We presented a new conceptual model and 2 case studies to illustrate the connections among CBPR contexts and processes, policymaking processes and strategies, and outcomes. We extended the critical role of civic engagement by those communities that were most burdened by health inequities by focusing on their political participation as research brokers in bridging evidence and policymaking. PMID:25033119
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1976-07-01
The memorandum discusses the theoretical basis of the trade-off model and its adaptation particularly in the simulation procedures used in evaluating specific policies. Two published articles dealing with the development and application of the trade-off model for market research are included as appendices to this memorandum. This model was the primary instrument used in connection with a research effort examining the role of individuals attitudes and perceptions in deciding whether or not to carpool. The research was based upon a survey of commuters in 3 major urban areas and has resulted in a sizeable new data base on respondents' socio-economicmore » and worktrip characteristics, travel perceptions, and travel preferences. Research is contained in the Summary Report, also available through NTIS.« less
Cui, Meng; Yang, Shuo; Yu, Tong; Yang, Ce; Gao, Yonghong; Zhu, Haiyan
2013-10-01
To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model. The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography. Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.
Developing, Testing, and Using Theoretical Models for Promoting Quality in Education
ERIC Educational Resources Information Center
Creemers, Bert; Kyriakides, Leonidas
2015-01-01
This paper argues that the dynamic model of educational effectiveness can be used to establish stronger links between educational effectiveness research (EER) and school improvement. It provides research evidence to support the validity of the model. Thus, the importance of using the dynamic model to establish an evidence-based and theory-driven…
Modeling Adsorption Based Filters (Bio-remediation of Heavy Metal Contaminated Water)
NASA Astrophysics Data System (ADS)
McCarthy, Chris
I will discuss kinetic models of adsorption, as well as models of filters based on those mechanisms. These mathematical models have been developed in support of our interdisciplinary lab group, which is centered at BMCC/CUNY (City University of New York). Our group conducts research into bio-remediation of heavy metal contaminated water via filtration. The filters are constructed out of biomass, such as spent tea leaves. The spent tea leaves are available in large quantities as a result of the industrial production of tea beverages. The heavy metals bond with the surfaces of the tea leaves (adsorption). The models involve differential equations, stochastic methods, and recursive functions. I will compare the models' predictions to data obtained from computer simulations and experimentally by our lab group. Funding: CUNY Collaborative Incentive Research Grant (Round 12); CUNY Research Scholars Program.
Gardner, Stephanie M; Adedokun, Omolola A; Weaver, Gabriela C; Bartlett, Edward L
2011-01-01
Inquiry-based laboratory instruction has been shown to actively engage students in the content and skills being taught. These courses are further intended to teach students not only what is known, but also the process by which investigators come to know it. We sought to take this approach one step further and incorporate novel research questions into an inquiry-based laboratory model early in the undergraduate course of study. In this research-based introductory laboratory course, first-year students acquired basic lab skills not just for their own sake, but rather within the context of a research question of a member of the faculty. Student projects investigated potential neuroanatomical changes in animal models of dyslexia and aging and included measurements of neuron numbers and levels and distribution of neuronal proteins. Students played an active role in designing and implementing an experimental plan, explored data analysis techniques, and reflected on the results that they obtained in scholarly forms such as research papers and a departmental poster session. Student feedback on this approach has been extremely positive, and the data collected were research quality preliminary data that are being actively pursued for further study. Based on our encouraging experiences, we conclude that designing an introductory course around novel research, including some assessments modeled after scholarly practices, provides motivation and excitement for the students, instills good scientific habits, and can potentially benefit departmental research.
ERIC Educational Resources Information Center
Madsen, Lene Moller; Winslow, Carl
2009-01-01
We examine the relationship between research and teaching practices as they are enacted by university professors in a research-intensive university. First we propose a theoretical model for the study of this relationship based on Chevallard's anthropological theory. This model is used to design and analyze an interview study with physical…
NASA Technical Reports Server (NTRS)
Ragusa, J. M.
1975-01-01
An optimum hypothetical organizational structure was studied for a large earth-orbiting, multidisciplinary research and applications space base manned by a crew of technologists. Because such a facility does not presently exist, in situ empirical testing was not possible. Study activity was, therefore, concerned with the identification of a desired organizational structural model rather than with the empirical testing of the model. The essential finding of this research was that a four-level project type total matrix model will optimize the efficiency and effectiveness of space base technologists.
ERIC Educational Resources Information Center
Yadiannur, Mitra; Supahar
2017-01-01
This research aims to determine the feasibility and effectivity of mobile learning based Worked Example in Electric Circuits (WEIEC) application in improving the high school students' electric circuits interpretation ability on Direct Current Circuits materials. The research method used was a combination of Four-D Models and ADDIE model. The…
ERIC Educational Resources Information Center
Gandhi, Allison Gruner; Murphy-Graham, Erin; Petrosino, Anthony; Chrismer, Sara Schwartz; Weiss, Carol H.
2007-01-01
In an effort to promote evidence-based practice, government officials, researchers, and program developers have developed lists of model programs in the prevention field. This article reviews the evidence used by seven best-practice lists to select five model prevention programs. The authors' examination of this research raises questions about the…
ERIC Educational Resources Information Center
Suardana, I. Nyoman; Redhana, I. Wayan; Sudiatmika, A. A. Istri Agung Rai; Selamat, I. Nyoman
2018-01-01
This research aimed at describing the effectiveness of the local culture-based 7E learning cycle model in improving students' critical thinking skills in chemistry learning. It was an experimental research with post-test only control group design. The population was the eleventh-grade students of senior high schools in Singaraja, Indonesia. The…
ERIC Educational Resources Information Center
Khuana, Khwanchai; Khuana, Tanthip; Santiboon, Toansakul
2017-01-01
Designing the instructional model with the innovative the "Research-Based Learning Strategy Lesson Plans" of the effectiveness of the processing performance and the resulting performance (E1/E2) with the IOC value determining standardized criteria of 80/80 were developed. Students' perceptions were assessed with the 30-item…
ERIC Educational Resources Information Center
Saragih, Sahat; Napitupulu, E. Elvis; Fauzi, Amin
2017-01-01
This research aims to develop a student-centered learning model based on local culture and instrument of mathematical higher order thinking of junior high school students in the frame of the 2013-Curriculum in North Sumatra, Indonesia. The subjects of the research are seventh graders which are taken proportionally random consisted of three public…
Dutch Research on Knowledge-Based Instructional Systems: Introduction to the Special Issue.
ERIC Educational Resources Information Center
van Merrienboer, Jeroen J. G.
1994-01-01
Provides an overview of this issue that reviews Dutch research concerning knowledge-based instructional systems. Topics discussed include experimental research, conceptual models, design considerations, and guidelines; the design of student diagnostic modules, instructional modules, and interface modules; second-language teaching; intelligent…
Application of Model Project Based Learning on Integrated Science in Water Pollution
NASA Astrophysics Data System (ADS)
Yamin, Y.; Permanasari, A.; Redjeki, S.; Sopandi, W.
2017-09-01
The function of this research was to analyze the influence model Project Based Learning (PjBl) on integrated science about the concept mastery for junior high school students. Method used for this research constitutes the quasi of experiment method. Population and sample for this research are the students junior high school in Bandung as many as two classes to be experiment and control class. The instrument that used for this research is the test concept mastery, assessment questionnaire of product and the questionnaire responses of the student about learning integrated science. Based on the result of this research get some data that with accomplishment the model of PjBl. Learning authority of integrated science can increase the concept mastery for junior high school students. The highest increase in the theme of pollution water is in the concept of mixtures and the separation method. The students give a positive response in learning of integrated science for the theme of pollution of the water used model PjBL with questionnaire of the opinion aspect in amount of 83.5%, the anxiety of the students in amount of 95.5%, the profit learning model of PjBL in amount of 96.25% and profit learning of integrated science in amount of 95.75%.
Cheng, Adam; Auerbach, Marc; Calhoun, Aaron; Mackinnon, Ralph; Chang, Todd P; Nadkarni, Vinay; Hunt, Elizabeth A; Duval-Arnould, Jordan; Peiris, Nicola; Kessler, David
2018-06-01
The scope and breadth of simulation-based research is growing rapidly; however, few mechanisms exist for conducting multicenter, collaborative research. Failure to foster collaborative research efforts is a critical gap that lies in the path of advancing healthcare simulation. The 2017 Research Summit hosted by the Society for Simulation in Healthcare highlighted how simulation-based research networks can produce studies that positively impact the delivery of healthcare. In 2011, the International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE) was formed to facilitate multicenter, collaborative simulation-based research with the aim of developing a community of practice for simulation researchers. Since its formation, the network has successfully completed and published numerous collaborative research projects. In this article, we describe INSPIRE's history, structure, and internal processes with the goal of highlighting the community of practice model for other groups seeking to form a simulation-based research network.
Langer, Erika M; Gifford, Allen L; Chan, Kee
2011-01-01
Objective Logic models have been used to evaluate policy programs, plan projects, and allocate resources. Logic Modeling for policy analysis has been used rarely in health services research but can be helpful in evaluating the content and rationale of health policies. Comparative Logic Modeling is used here on human immunodeficiency virus (HIV) policy statements from the Department of Veterans Affairs (VA) and Centers for Disease Control and Prevention (CDC). We created visual representations of proposed HIV screening policy components in order to evaluate their structural logic and research-based justifications. Data Sources and Study Design We performed content analysis of VA and CDC HIV testing policy documents in a retrospective case study. Data Collection Using comparative Logic Modeling, we examined the content and primary sources of policy statements by the VA and CDC. We then quantified evidence-based causal inferences within each statement. Principal Findings VA HIV testing policy structure largely replicated that of the CDC guidelines. Despite similar design choices, chosen research citations did not overlap. The agencies used evidence to emphasize different components of the policies. Conclusion Comparative Logic Modeling can be used by health services researchers and policy analysts more generally to evaluate structural differences in health policies and to analyze research-based rationales used by policy makers. PMID:21689094
ERIC Educational Resources Information Center
Moore, Corey L.; Manyibe, Edward O.; Aref, Fariborz; Washington, Andre L.
2017-01-01
Purpose: To evaluate a peer-to-peer mentor research team model (PPMRTM) in building investigators' research skills (i.e., research methods and grant writing) at a historically Black college/university (HBCU) in the United States. Method: Three different theories (i.e., planned change, critical mass, and self-efficacy), contemporary study findings,…
THE BUREAU OF AERONAUTICS RESEARCH AND DEVELOPMENT PROGRAM FOR WATER-BASED AIRCRAFT,
WATER BASED AIRCRAFT, BUDGETS), RESEARCH MANAGEMENT, FLIGHT TESTING, WIND TUNNEL MODELS, TABLES(DATA), AIRCRAFT, TEST VEHICLES, HYDRODYNAMICS, PIERS, FLOATING DOCKS, LOADS(FORCES), WATER , STABILITY, SPRAYS, NAVAL AIRCRAFT.
NASA Astrophysics Data System (ADS)
Bahtiar; Rahayu, Y. S.; Wasis
2018-01-01
This research aims to produce P3E learning model to improve students’ critical thinking skills. The developed model is named P3E, consisting of 4 (four) stages namely; organization, inquiry, presentation, and evaluation. This development research refers to the development stage by Kemp. The design of the wide scale try-out used pretest-posttest group design. The wide scale try-out was conducted in grade X of 2016/2017 academic year. The analysis of the results of this development research inludes three aspects, namely: validity, practicality, and effectiveness of the model developed. The research results showed; (1) the P3E learning model was valid, according to experts with an average value of 3.7; (2) The completion of the syntax of the learning model developed obtained 98.09% and 94.39% for two schools based on the assessment of the observers. This shows that the developed model is practical to be implemented; (3) the developed model is effective for improving students’ critical thinking skills, although the n-gain of the students’ critical thinking skills was 0.54 with moderate category. Based on the results of the research above, it can be concluded that the developed P3E learning model is suitable to be used to improve students’ critical thinking skills.
Modeling a Longitudinal Relational Research Data Systems
ERIC Educational Resources Information Center
Olsen, Michelle D. Hunt
2010-01-01
A study was conducted to propose a research-based model for a longitudinal data research system that addressed recommendations from a synthesis of literature related to: (1) needs reported by the U.S. Department of Education, (2) the twelve mandatory elements that define federally approved state longitudinal data systems (SLDS), (3) the…
Industrial and Academic Collaboration: Hybrid Models for Research and Innovation Diffusion
ERIC Educational Resources Information Center
de Freitas, Sara; Mayer, Igor; Arnab, Sylvester; Marshall, Ian
2014-01-01
This paper explores how, in the light of global economic downturn and rising student populations, new academic-industrial models for research collaboration based upon specific technological expertise and knowledge can be developed as potential mechanisms for preserving and extending central university research infrastructure. The paper explores…
NASA Astrophysics Data System (ADS)
Sutiani, Ani; Silitonga, Mei Y.
2017-08-01
This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.
Validating Computational Human Behavior Models: Consistency and Accuracy Issues
2004-06-01
includes a discussion of SME demographics, content, and organization of the datasets . This research generalizes data from two pilot studies and two base...meet requirements for validating the varied and complex behavioral models. Through a series of empirical studies , this research identifies subject...meet requirements for validating the varied and complex behavioral models. Through a series of empirical studies , this research identifies subject
ERIC Educational Resources Information Center
Tumthong, Suwut; Piriyasurawong, Pullop; Jeerangsuwan, Namon
2016-01-01
This research proposes a functional competency development model for academic personnel based on international professional qualification standards in computing field and examines the appropriateness of the model. Specifically, the model consists of three key components which are: 1) functional competency development model, 2) blended training…
Three Collaborative Models for Scaling Up Evidence-Based Practices
Roberts, Rosemarie; Jones, Helen; Marsenich, Lynne; Sosna, Todd; Price, Joseph M.
2015-01-01
The current paper describes three models of research-practice collaboration to scale-up evidence-based practices (EBP): (1) the Rolling Cohort model in England, (2) the Cascading Dissemination model in San Diego County, and (3) the Community Development Team model in 53 California and Ohio counties. Multidimensional Treatment Foster Care (MTFC) and KEEP are the focal evidence-based practices that are designed to improve outcomes for children and families in the child welfare, juvenile justice, and mental health systems. The three scale-up models each originated from collaboration between community partners and researchers with the shared goal of wide-spread implementation and sustainability of MTFC/KEEP. The three models were implemented in a variety of contexts; Rolling Cohort was implemented nationally, Cascading Dissemination was implemented within one county, and Community Development Team was targeted at the state level. The current paper presents an overview of the development of each model, the policy frameworks in which they are embedded, system challenges encountered during scale-up, and lessons learned. Common elements of successful scale-up efforts, barriers to success, factors relating to enduring practice relationships, and future research directions are discussed. PMID:21484449
The mathematical and computer modeling of the worm tool shaping
NASA Astrophysics Data System (ADS)
Panchuk, K. L.; Lyashkov, A. A.; Ayusheev, T. V.
2017-06-01
Traditionally mathematical profiling of the worm tool is carried out on the first T. Olivier method, known in the theory of gear gearings, with receiving an intermediate surface of the making lath. It complicates process of profiling and its realization by means of computer 3D-modeling. The purpose of the work is the improvement of mathematical model of profiling and its realization based on the methods of 3D-modeling. Research problems are: receiving of the mathematical model of profiling which excludes the presence of the making lath in it; realization of the received model by means of frame and superficial modeling; development and approbation of technology of solid-state modeling for the solution of the problem of profiling. As the basic, the kinematic method of research of the mutually envelope surfaces is accepted. Computer research is executed by means of CAD based on the methods of 3D-modeling. We have developed mathematical model of profiling of the worm tool; frame, superficial and solid-state models of shaping of the mutually enveloping surfaces of the detail and the tool are received. The offered mathematical models and the technologies of 3D-modeling of shaping represent tools for theoretical and experimental profiling of the worm tool. The results of researches can be used at design of metal-cutting tools.
ERIC Educational Resources Information Center
Song, Xin-Yuan; Lee, Sik-Yum
2006-01-01
Structural equation models are widely appreciated in social-psychological research and other behavioral research to model relations between latent constructs and manifest variables and to control for measurement error. Most applications of SEMs are based on fully observed continuous normal data and models with a linear structural equation.…
Adequacy Model for School Funding
ERIC Educational Resources Information Center
Banicki, Guy; Murphy, Gregg
2014-01-01
This study considers the effectiveness of the Evidence-Based Adequacy model of school funding. In looking at the Evidence-Based Adequacy model for school funding, one researcher has been centrally associated with the development and study of this model. Allen Odden is currently a professor in the Department of Educational Leadership and Policy…
Design of Learning Model of Logic and Algorithms Based on APOS Theory
ERIC Educational Resources Information Center
Hartati, Sulis Janu
2014-01-01
This research questions were "how do the characteristics of learning model of logic & algorithm according to APOS theory" and "whether or not these learning model can improve students learning outcomes". This research was conducted by exploration, and quantitative approach. Exploration used in constructing theory about the…
USDA-ARS?s Scientific Manuscript database
Biocontrol measures may enhance postharvest interventions, however; published research on process-based models for biocontrol of foodborne pathogens on produce is limited. The aim of this research was to develop cost model estimates for competitive exclusion process using Pseudomonas fluorescens and...
Reinforcement learning in depression: A review of computational research.
Chen, Chong; Takahashi, Taiki; Nakagawa, Shin; Inoue, Takeshi; Kusumi, Ichiro
2015-08-01
Despite being considered primarily a mood disorder, major depressive disorder (MDD) is characterized by cognitive and decision making deficits. Recent research has employed computational models of reinforcement learning (RL) to address these deficits. The computational approach has the advantage in making explicit predictions about learning and behavior, specifying the process parameters of RL, differentiating between model-free and model-based RL, and the computational model-based functional magnetic resonance imaging and electroencephalography. With these merits there has been an emerging field of computational psychiatry and here we review specific studies that focused on MDD. Considerable evidence suggests that MDD is associated with impaired brain signals of reward prediction error and expected value ('wanting'), decreased reward sensitivity ('liking') and/or learning (be it model-free or model-based), etc., although the causality remains unclear. These parameters may serve as valuable intermediate phenotypes of MDD, linking general clinical symptoms to underlying molecular dysfunctions. We believe future computational research at clinical, systems, and cellular/molecular/genetic levels will propel us toward a better understanding of the disease. Copyright © 2015 Elsevier Ltd. All rights reserved.
A Data-Driven Framework for Incorporating New Tools for ...
This talk was given during the “Exposure-Based Toxicity Testing” session at the annual meeting of the International Society for Exposure Science. It provided an update on the state of the science and tools that may be employed in risk-based prioritization efforts. It outlined knowledge gained from the data provided using these high-throughput tools to assess chemical bioactivity and to predict chemical exposures and also identified future needs. It provided an opportunity to showcase ongoing research efforts within the National Exposure Research Laboratory and the National Center for Computational Toxicology within the Office of Research and Development to an international audience. The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.
NASA Technical Reports Server (NTRS)
Dezelick, R. A.
1976-01-01
Space shuttle base heating tests were conducted using a 0.040-scale model in the Plum Brook Space Power Facility of The NASA Lewis Research Center. The tests measured heat transfer rates, pressure distributions, and gas recovery temperatures on the orbiter vehicle 2A base configuration resulting from engine plume impingement. One hundred and sixty-eight hydrogen-oxygen engine firings were made at simulated flight altitudes ranging from 120,000 to 360,000 feet.
MANAGING EXPOSURES TO NEUROTOXIC AIR POLLUTANTS.
Researchers at EPA's National Health and Environmental Effects Research Laboratory are developing a biologically-based dose-response model to describe the neurotoxic effects of exposure to volatile organic compounds (VOCs). The model is being developed to improve risk assessment...
Gutierrez, Emilio
2013-05-01
Activity-based anorexia (ABA) is an analogous animal model of anorexia nervosa where food-restricted rats develop excessive running activity when given free access to a running wheel; their body weight sharply decreases, and finally self-starvation and death ensue unless animals are removed from the experimental conditions. The parallel of this animal model with major signs in the human disorder has been the focus of much attention from researchers and clinicians as a platform for translational research. The paper reviews the historical antecedents of ABA, research characterizing its occurrence, and its main limitations and strengths as a model of AN. As a symptomatic model of AN, the ABA model can provide clinicians with innovative and alternative routes for improving the treatment of AN. Copyright © 2013 Wiley Periodicals, Inc.
IASM: Individualized activity space modeler
NASA Astrophysics Data System (ADS)
Hasanzadeh, Kamyar
2018-01-01
Researchers from various disciplines have long been interested in analyzing and describing human mobility patterns. Activity space (AS), defined as an area encapsulating daily human mobility and activities, has been at the center of this interest. However, given the applied nature of research in this field and the complexity that advanced geographical modeling can pose to its users, the proposed models remain simplistic and inaccurate in many cases. Individualized Activity Space Modeler (IASM) is a geographic information system (GIS) toolbox, written in Python programming language using ESRI's Arcpy module, comprising four tools aiming to facilitate the use of advanced activity space models in empirical research. IASM provides individual-based and context-sensitive tools to estimate home range distances, delineate activity spaces, and model place exposures using individualized geographical data. In this paper, we describe the design and functionality of IASM, and provide an example of how it performs on a spatial dataset collected through an online map-based survey.
NASA Astrophysics Data System (ADS)
Avianti, R.; Suyatno; Sugiarto, B.
2018-04-01
This study aims to create an appropriate learning material based on CORE (Connecting, Organizing, Reflecting, Extending) model to improve students’ learning achievement in Chemical Bonding Topic. This study used 4-D models as research design and one group pretest-posttest as design of the material treatment. The subject of the study was teaching materials based on CORE model, conducted on 30 students of Science class grade 10. The collecting data process involved some techniques such as validation, observation, test, and questionnaire. The findings were that: (1) all the contents were valid, (2) the practicality and the effectiveness of all the contents were good. The conclusion of this research was that the CORE model is appropriate to improve students’ learning outcomes for studying Chemical Bonding.
Using Design-Based Research in Higher Education Innovation
ERIC Educational Resources Information Center
Ford, Cristi; McNally, Darragh; Ford, Kate
2017-01-01
This paper discusses the design-based research approach used by the Center for Innovation in Learning and Student Success (CILSS) at the University of Maryland, University College (UMUC). CILSS is a laboratory for conducting applied research that focuses on continuous improvements to the university's instruction of curriculum, learning models, and…
Outreach Science Education: Evidence-Based Studies in a Gene Technology Lab
ERIC Educational Resources Information Center
Scharfenberg, Franz-Josef; Bogner, Franz X.
2014-01-01
Nowadays, outreach labs are important informal learning environments in science education. After summarizing research to goals outreach labs focus on, we describe our evidence-based gene technology lab as a model of a research-driven outreach program. Evaluation-based optimizations of hands-on teaching based on cognitive load theory (additional…
[Modeling of carbon cycling in terrestrial ecosystem: a review].
Mao, Liuxi; Sun, Yanling; Yan, Xiaodong
2006-11-01
Terrestrial carbon cycling is one of the important issues in global change research, while carbon cycling modeling has become a necessary method and tool in understanding this cycling. This paper reviewed the research progress in terrestrial carbon cycling, with the focus on the basic framework of simulation modeling, two essential models of carbon cycling, and the classes of terrestrial carbon cycling modeling, and analyzed the present situation of terrestrial carbon cycling modeling. It was pointed out that the future research direction could be based on the biophysical modeling of dynamic vegetation, and this modeling could be an important component in the earth system modeling.
The human subject: an integrative animal model for 21st century heart failure research
Chandrasekera, P Charukeshi; Pippin, John J
2015-01-01
Heart failure remains a leading cause of death and it is a major cause of morbidity and mortality affecting tens of millions of people worldwide. Despite decades of extensive research conducted at enormous expense, only a handful of interventions have significantly impacted survival in heart failure. Even the most widely prescribed treatments act primarily to slow disease progression, do not provide sustained survival advantage, and have adverse side effects. Since mortality remains about 50% within five years of diagnosis, the need to increase our understanding of heart failure disease mechanisms and development of preventive and reparative therapies remains critical. Currently, the vast majority of basic science heart failure research is conducted using animal models ranging from fruit flies to primates; however, insights gleaned from decades of animal-based research efforts have not been proportional to research success in terms of deciphering human heart failure and developing effective therapeutics for human patients. Here we discuss the reasons for this translational discrepancy which can be equally attributed to the use of erroneous animal models and the lack of widespread use of human-based research methodologies and address why and how we must position our own species at center stage as the quintessential animal model for 21st century heart failure research. If the ultimate goal of the scientific community is to tackle the epidemic status of heart failure, the best way to achieve that goal is through prioritizing human-based, human-relevant research. PMID:26550463
Representative Structural Element - A New Paradigm for Multi-Scale Structural Modeling
2016-07-05
developed by NASA Glenn Research Center based on Aboudi’s micromechanics theories [5] that provides a wide range of capabilities for modeling ...to use appropriate models for related problems based on the capability of corresponding approaches. Moreover, the analyses will give a general...interface of heterogeneous materials but also help engineers to use appropriate models for related problems based on the capability of corresponding
Adaptive Modeling of Details for Physically-Based Sound Synthesis and Propagation
2015-03-21
the interface that ensures the consistency and validity of the solution given by the two methods. Transfer functions are used to model two-way...release; distribution is unlimited. Adaptive modeling of details for physically-based sound synthesis and propagation The views, opinions and/or...Research Triangle Park, NC 27709-2211 Applied sciences, Adaptive modeling , Physcially-based, Sound synthesis, Propagation, Virtual world REPORT
ERIC Educational Resources Information Center
Ghufron, M. Ali; Saleh, Mursid; Warsono; Sofwan, Ahmad
2016-01-01
This study aimed at designing a model of instructional materials for Academic Writing Course focusing on research paper writing. The model was designed based on the Curriculum at the English Education Study Program, Faculty of Language and Art Education of IKIP PGRI Bojonegoro, East Java, Indonesia. This model was developed in order to improve…
NASA Technical Reports Server (NTRS)
Powell, John D.
2003-01-01
This document discusses the verification of the Secure Socket Layer (SSL) communication protocol as a demonstration of the Model Based Verification (MBV) portion of the verification instrument set being developed under the Reducing Software Security Risk (RSSR) Trough an Integrated Approach research initiative. Code Q of the National Aeronautics and Space Administration (NASA) funds this project. The NASA Goddard Independent Verification and Validation (IV&V) facility manages this research program at the NASA agency level and the Assurance Technology Program Office (ATPO) manages the research locally at the Jet Propulsion Laboratory (California institute of Technology) where the research is being carried out.
ERIC Educational Resources Information Center
Poitras, Eric G.; Lajoie, Susanne P.; Doleck, Tenzin; Jarrell, Amanda
2016-01-01
Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…
The Researcher's Role in the Renewal of Vocational Education.
ERIC Educational Resources Information Center
Asche, F. Marion
1986-01-01
The author argues that the potential effectiveness of researchers in the renewal of vocational education will depend in large measure on their ability to participate in the larger shift from total dependence on physical models of research and their ability to build new interdisciplinary models based in part on emerging practices in business and…
Models of Educational Computing @ Home: New Frontiers for Research on Technology in Learning.
ERIC Educational Resources Information Center
Kafai, Yasmin B.; Fishman, Barry J.; Bruckman, Amy S.; Rockman, Saul
2002-01-01
Discusses models of home educational computing that are linked to learning in school and recommends the need for research that addresses the home as a computer-based learning environment. Topics include a history of research on educational computing at home; technological infrastructure, including software and compatibility; Internet access;…
ERIC Educational Resources Information Center
Gerstein, Lawrence H.; Bayer, Gregory A.
1991-01-01
Discusses contribution of Bystander-Equity Model of Supervisory Helping Behavior to pursuit of employee assistance program (EAP) research based on traditions of field of counseling. Offers structure for pursuing empirical and applied activities in EAP settings. Encourages counseling researchers and practitioners to respond to challenge of working…
Research the simulation model of the passenger travel behavior in urban rail platform
NASA Astrophysics Data System (ADS)
Wang, Yujia; Yin, Xiangyong
2017-05-01
Based on the results of the research on the platform of the Beijing Chegongzhuang subway station in the line 2, the passenger travel behavior in urban rail platform is divided into 4 parts, which are the enter passenger walking, the passenger waiting distribution and queuing up before the door, passenger boarding and alighting and the alighting passengers walking, according to the social force model, simulation model was built based on Matlab software. Combined with the actual data of subway the Chegongzhuang subway station in the line 2, the simulation results show that the social force model is effective.
Novel Phenotype Issues Raised in Cross-National Epidemiological Research on Drug Dependence
Anthony, James C.
2010-01-01
Stage-transition models based on the American Diagnostic and Statistical Manual (DSM) generally are applied in epidemiology and genetics research on drug dependence syndromes associated with cannabis, cocaine, and other internationally regulated drugs (IRD). Difficulties with DSM stage-transition models have surfaced during cross-national research intended to provide a truly global perspective, such as the work of the World Mental Health Surveys (WMHS) Consortium. Alternative simpler dependence-related phenotypes are possible, including population-level count process models for steps early and before coalescence of clinical features into a coherent syndrome (e.g., zero-inflated Poisson regression). Selected findings are reviewed, based on ZIP modeling of alcohol, tobacco, and IRD count processes, with an illustration that may stimulate new research on genetic susceptibility traits. The annual National Surveys on Drug Use and Health can be readily modified for this purpose, along the lines of a truly anonymous research approach that can help make NSDUH-type cross-national epidemiological surveys more useful in the context of subsequent genome wide association (GWAS) research and post-GWAS investigations with a truly global health perspective. PMID:20201862
Strengthening community participation in reducing GHG emission from forest and peatland fire
NASA Astrophysics Data System (ADS)
Thoha, A. S.; Saharjo, B. H.; Boer, R.; Ardiansyah, M.
2018-02-01
Strengthening community participation is needed to find solutions to encourage community more participate in reducing Green House Gas (GHG) from forest and peatland fire. This research aimed to identify stakeholders that have the role in forest and peatland fire control and to formulate strengthening model of community participation through community-based early warning fire. Stakeholder mapping and action research were used to determine stakeholders that had potential influence and interest and to formulate strengthening model of community participation in reducing GHG from forest and peatland fire. There was found that position of key players in the mapping of stakeholders came from the government institution. The existence of community-based fire control group can strengthen government institution through collaborating with stakeholders having strong interest and influence. Moreover, it was found several local knowledge in Kapuas District about how communities predict drought that have potential value for developing the community-based early warning fire system. Formulated institutional model in this research also can be further developed as a model institution in the preservation of natural resources based on local knowledge. In conclusion, local knowledge and community-based fire groups can be integrated within strengthening model of community participation in reducing GHG from forest and peatland fire.
Ceasar, Joniqua; Peters-Lawrence, Marlene H; Mitchell, Valerie; Powell-Wiley, Tiffany M
2017-11-21
Little is known about recruitment methods for racial/ethnic minority populations from resource-limited areas for community-based health and needs assessments, particularly assessments that incorporate mobile health (mHealth) technology for characterizing physical activity and dietary intake. We examined whether the Communication, Awareness, Relationships and Empowerment (C.A.R.E.) model could reduce challenges recruiting and retaining participants from faith-based organizations in predominantly African American Washington, D.C. communities for a community-based assessment. Employing C.A.R.E. model elements, our diverse research team developed partnerships with churches, health organizations, academic institutions and governmental agencies. Through these partnerships, we cultivated a visible presence at community events, provided cardiovascular health education and remained accessible throughout the research process. Additionally, these relationships led to the creation of a community advisory board (CAB), which influenced the study's design, implementation, and dissemination. Over thirteen months, 159 individuals were recruited for the study, 99 completed the initial assessment, and 81 used mHealth technology to self-monitor physical activity over 30 days. The culturally and historically sensitive C.A.R.E. model strategically engaged CAB members and study participants. It was essential for success in recruitment and retention of an at-risk, African American population and may be an effective model for researchers hoping to engage racial/ethnic minority populations living in urban communities.
Semicompeting risks in aging research: methods, issues and needs
Varadhan, Ravi; Xue, Qian-Li; Bandeen-Roche, Karen
2015-01-01
A semicompeting risks problem involves two-types of events: a nonterminal and a terminal event (death). Typically, the nonterminal event is the focus of the study, but the terminal event can preclude the occurrence of the nonterminal event. Semicompeting risks are ubiquitous in studies of aging. Examples of semicompeting risk dyads include: dementia and death, frailty syndrome and death, disability and death, and nursing home placement and death. Semicompeting risk models can be divided into two broad classes: models based only on observables quantities (class O) and those based on potential (latent) failure times (class L). The classical illness-death model belongs to class O. This model is a special case of the multistate models, which has been an active area of methodology development. During the past decade and a half, there has also been a flurry of methodological activity on semicompeting risks based on latent failure times (L models). These advances notwithstanding, the semi-competing risks methodology has not penetrated biomedical research, in general, and gerontological research, in particular. Some possible reasons for this lack of uptake are: the methods are relatively new and sophisticated, conceptual problems associated with potential failure time models are difficult to overcome, paucity of expository articles aimed at educating practitioners, and non-availability of readily usable software. The main goals of this review article are: (i) to describe the major types of semicompeting risks problems arising in aging research, (ii) to provide a brief survey of the semicompeting risks methods, (iii) to suggest appropriate methods for addressing the problems in aging research, (iv) to highlight areas where more work is needed, and (v) to suggest ways to facilitate the uptake of the semicompeting risks methodology by the broader biomedical research community. PMID:24729136
Designing Effective Online Instruction: A Handbook for Web-Based Courses
ERIC Educational Resources Information Center
Koontz, Franklin R.; Li, Hongqin; Compora, Daniel P.
2006-01-01
The designing of online courses requires a radical change in the way the instruction is designed and presented to the student. To date, however, there are no research-based models, using a systems approach, that are available to design Web-based instruction. This book introduces the ASSIST-ME Model, an instructional design model for Web-based…
Gardner, Stephanie M.; Adedokun, Omolola A.; Weaver, Gabriela C.; Bartlett, Edward L.
2011-01-01
Inquiry-based laboratory instruction has been shown to actively engage students in the content and skills being taught. These courses are further intended to teach students not only what is known, but also the process by which investigators come to know it. We sought to take this approach one step further and incorporate novel research questions into an inquiry-based laboratory model early in the undergraduate course of study. In this research-based introductory laboratory course, first-year students acquired basic lab skills not just for their own sake, but rather within the context of a research question of a member of the faculty. Student projects investigated potential neuroanatomical changes in animal models of dyslexia and aging and included measurements of neuron numbers and levels and distribution of neuronal proteins. Students played an active role in designing and implementing an experimental plan, explored data analysis techniques, and reflected on the results that they obtained in scholarly forms such as research papers and a departmental poster session. Student feedback on this approach has been extremely positive, and the data collected were research quality preliminary data that are being actively pursued for further study. Based on our encouraging experiences, we conclude that designing an introductory course around novel research, including some assessments modeled after scholarly practices, provides motivation and excitement for the students, instills good scientific habits, and can potentially benefit departmental research. PMID:23626490
Woodward, Bill
2016-04-11
Inflammatory incompetence is characteristic of acute pediatric protein-energy malnutrition, but its underlying mechanisms remain obscure. Perhaps substantially because the research front lacks the driving force of a scholarly unifying hypothesis, it is adrift and research activity is declining. A body of animal-based research points to a unifying paradigm, the Tolerance Model, with some potential to offer coherence and a mechanistic impetus to the field. However, reasonable skepticism prevails regarding the relevance of animal models of acute pediatric malnutrition; consequently, the fundamental contributions of the animal-based component of this research front are largely overlooked. Design-related modifications to improve the relevance of animal modeling in this research front include, most notably, prioritizing essential features of pediatric malnutrition pathology rather than dietary minutiae specific to infants and children, selecting windows of experimental animal development that correspond to targeted stages of pediatric immunological ontogeny, and controlling for ontogeny-related confounders. In addition, important opportunities are presented by newer tools including the immunologically humanized mouse and outbred stocks exhibiting a magnitude of genetic heterogeneity comparable to that of human populations. Sound animal modeling is within our grasp to stimulate and support a mechanistic research front relevant to the immunological problems that accompany acute pediatric malnutrition.
Sharing Research Models: Using Software Engineering Practices for Facilitation
Bryant, Stephanie P.; Solano, Eric; Cantor, Susanna; Cooley, Philip C.; Wagener, Diane K.
2011-01-01
Increasingly, researchers are turning to computational models to understand the interplay of important variables on systems’ behaviors. Although researchers may develop models that meet the needs of their investigation, application limitations—such as nonintuitive user interface features and data input specifications—may limit the sharing of these tools with other research groups. By removing these barriers, other research groups that perform related work can leverage these work products to expedite their own investigations. The use of software engineering practices can enable managed application production and shared research artifacts among multiple research groups by promoting consistent models, reducing redundant effort, encouraging rigorous peer review, and facilitating research collaborations that are supported by a common toolset. This report discusses three established software engineering practices— the iterative software development process, object-oriented methodology, and Unified Modeling Language—and the applicability of these practices to computational model development. Our efforts to modify the MIDAS TranStat application to make it more user-friendly are presented as an example of how computational models that are based on research and developed using software engineering practices can benefit a broader audience of researchers. PMID:21687780
ERIC Educational Resources Information Center
McLean, Gary N.; Jones, L. Eugene
The two studies which received the 1975 Robert E. Slaughter Research Award in Business and Office Education are summarized in the document. The first paper, entitled "Effectiveness of Model Office, Cooperative Office Education, and Office Procedures Courses Based on Employee Satisfaction and Satisfactoriness Eighteen Months After…
Multilingual Medical Data Models in ODM Format
Breil, B.; Kenneweg, J.; Fritz, F.; Bruland, P.; Doods, D.; Trinczek, B.; Dugas, M.
2012-01-01
Background Semantic interoperability between routine healthcare and clinical research is an unsolved issue, as information systems in the healthcare domain still use proprietary and site-specific data models. However, information exchange and data harmonization are essential for physicians and scientists if they want to collect and analyze data from different hospitals in order to build up registries and perform multicenter clinical trials. Consequently, there is a need for a standardized metadata exchange based on common data models. Currently this is mainly done by informatics experts instead of medical experts. Objectives We propose to enable physicians to exchange, rate, comment and discuss their own medical data models in a collaborative web-based repository of medical forms in a standardized format. Methods Based on a comprehensive requirement analysis, a web-based portal for medical data models was specified. In this context, a data model is the technical specification (attributes, data types, value lists) of a medical form without any layout information. The CDISC Operational Data Model (ODM) was chosen as the appropriate format for the standardized representation of data models. The system was implemented with Ruby on Rails and applies web 2.0 technologies to provide a community based solution. Forms from different source systems – both routine care and clinical research – were converted into ODM format and uploaded into the portal. Results A portal for medical data models based on ODM-files was implemented (http://www.medical-data-models.org). Physicians are able to upload, comment, rate and download medical data models. More than 250 forms with approximately 8000 items are provided in different views (overview and detailed presentation) and in multiple languages. For instance, the portal contains forms from clinical and research information systems. Conclusion The portal provides a system-independent repository for multilingual data models in ODM format which can be used by physicians. It serves as a platform for discussion and enables the exchange of multilingual medical data models in a standardized way. PMID:23620720
Requirements for data integration platforms in biomedical research networks: a reference model.
Ganzinger, Matthias; Knaup, Petra
2015-01-01
Biomedical research networks need to integrate research data among their members and with external partners. To support such data sharing activities, an adequate information technology infrastructure is necessary. To facilitate the establishment of such an infrastructure, we developed a reference model for the requirements. The reference model consists of five reference goals and 15 reference requirements. Using the Unified Modeling Language, the goals and requirements are set into relation to each other. In addition, all goals and requirements are described textually in tables. This reference model can be used by research networks as a basis for a resource efficient acquisition of their project specific requirements. Furthermore, a concrete instance of the reference model is described for a research network on liver cancer. The reference model is transferred into a requirements model of the specific network. Based on this concrete requirements model, a service-oriented information technology architecture is derived and also described in this paper.
Perimal-Lewis, Lua; Teubner, David; Hakendorf, Paul; Horwood, Chris
2016-12-01
Effective and accurate use of routinely collected health data to produce Key Performance Indicator reporting is dependent on the underlying data quality. In this research, Process Mining methodology and tools were leveraged to assess the data quality of time-based Emergency Department data sourced from electronic health records. This research was done working closely with the domain experts to validate the process models. The hospital patient journey model was used to assess flow abnormalities which resulted from incorrect timestamp data used in time-based performance metrics. The research demonstrated process mining as a feasible methodology to assess data quality of time-based hospital performance metrics. The insight gained from this research enabled appropriate corrective actions to be put in place to address the data quality issues. © The Author(s) 2015.
Effectiveness of Discovery Learning-Based Transformation Geometry Module
NASA Astrophysics Data System (ADS)
Febriana, R.; Haryono, Y.; Yusri, R.
2017-09-01
Development of transformation geometry module is conducted because the students got difficulties to understand the existing book. The purpose of the research was to find out the effectiveness of discovery learning-based transformation geometry module toward student’s activity. Model of the development was Plomp model consisting preliminary research, prototyping phase and assessment phase. The research was focused on assessment phase where it was to observe the designed product effectiveness. The instrument was observation sheet. The observed activities were visual activities, oral activities, listening activities, mental activities, emotional activities and motor activities. Based on the result of the research, it is found that visual activities, learning activities, writing activities, the student’s activity is in the criteria very effective. It can be concluded that the use of discovery learning-based transformation geometry module use can increase the positive student’s activity and decrease the negative activity.
Bazos, Dorothy A; Schifferdecker, Karen E; Fedrizzi, Rudolph; Hoebeke, Jaime; Ruggles, Laural; Goldsberry, Yvonne
2013-01-01
Although process elements that define community-based participatory research (CBPR) are well articulated and provide guidance for bringing together researchers and communities, additional models to implement CBPR are needed. One potential model for implementing and monitoring CBPR is Action Learning Collaboratives (ALCs); short term, team-based learning processes that are grounded in quality improvement. Since 2010, the Prevention Research Center at Dartmouth (PRCD) has used ALCs with three communities as a platform to design, implement and evaluate CBPR. The first ALC provided an opportunity for academia and community leadership to strengthen their relationships and knowledge of respective assets through design and evaluation of community-based QI projects. Building on this work, we jointly designed and are implementing a second ALC, a cross-community research project focused on obesity prevention in vulnerable populations. An enhanced community capacity now exists to support CBPR activities with a high degree of sophistication and decreased reliance on external facilitation.
NASA Astrophysics Data System (ADS)
Makarov, M.; Shchanikov, S.; Trantina, N.
2017-01-01
We have conducted a research into the major, in terms of their future application, properties of nanoscale objects, based on modelling these objects as free-standing physical elements beyond the structure of an engineering system designed for their integration as well as a part of a system that operates under the influence of the external environment. For the empirical research suggested within the scope of this work, we have chosen a nanoscale electronic element intended to be used while designing information processing systems with the parallel architecture - a memristor. The target function of the research was to provide the maximum fault-tolerance index of a memristor-based system when affected by all possible impacts of the internal destabilizing factors and external environment. The research results have enabled us to receive and classify all the factors predetermining the fault-tolerance index of the hardware implementation of a computing system based on the nanoscale electronic element base.
NASA Astrophysics Data System (ADS)
Rahman, A.; Ahmar, A. S.
2017-09-01
This research has a purpose to compare ARIMA Model and Holt-Winters Model based on MAE, RSS, MSE, and RMS criteria in predicting Primary Energy Consumption Total data in the US. The data from this research ranges from January 1973 to December 2016. This data will be processed by using R Software. Based on the results of data analysis that has been done, it is found that the model of Holt-Winters Additive type (MSE: 258350.1) is the most appropriate model in predicting Primary Energy Consumption Total data in the US. This model is more appropriate when compared with Holt-Winters Multiplicative type (MSE: 262260,4) and ARIMA Seasonal model (MSE: 723502,2).
The I3E Model for Embedding Education for Sustainability within Higher Education Institutions
ERIC Educational Resources Information Center
Cebrián, Gisela
2018-01-01
This paper presents an evidence-based model (the I3E model) for embedding education for sustainability (EfS) within a higher education institution. This model emerged from a doctoral research that examined organisational learning and change processes at the University of Southampton to build EfS into the university curriculum. The researcher aimed…
NASA Astrophysics Data System (ADS)
Gan, T.; Tarboton, D. G.; Dash, P. K.; Gichamo, T.; Horsburgh, J. S.
2017-12-01
Web based apps, web services and online data and model sharing technology are becoming increasingly available to support research. This promises benefits in terms of collaboration, platform independence, transparency and reproducibility of modeling workflows and results. However, challenges still exist in real application of these capabilities and the programming skills researchers need to use them. In this research we combined hydrologic modeling web services with an online data and model sharing system to develop functionality to support reproducible hydrologic modeling work. We used HydroDS, a system that provides web services for input data preparation and execution of a snowmelt model, and HydroShare, a hydrologic information system that supports the sharing of hydrologic data, model and analysis tools. To make the web services easy to use, we developed a HydroShare app (based on the Tethys platform) to serve as a browser based user interface for HydroDS. In this integration, HydroDS receives web requests from the HydroShare app to process the data and execute the model. HydroShare supports storage and sharing of the results generated by HydroDS web services. The snowmelt modeling example served as a use case to test and evaluate this approach. We show that, after the integration, users can prepare model inputs or execute the model through the web user interface of the HydroShare app without writing program code. The model input/output files and metadata describing the model instance are stored and shared in HydroShare. These files include a Python script that is automatically generated by the HydroShare app to document and reproduce the model input preparation workflow. Once stored in HydroShare, inputs and results can be shared with other users, or published so that other users can directly discover, repeat or modify the modeling work. This approach provides a collaborative environment that integrates hydrologic web services with a data and model sharing system to enable model development and execution. The entire system comprised of the HydroShare app, HydroShare and HydroDS web services is open source and contributes to capability for web based modeling research.
Collins, Katrina
2017-12-11
To inform the strategic and operational development of a community based service model at the Crann Centre, Cork, Ireland for SB children, adults, their families and providers. A needs assessment was conducted by gathering the views of multiple stakeholder perspectives within the SB community in the geographical region the Centre will serve. The intention is to create project deliverables that are responsive to the needs highlighted through this research. The study used a multi method design with a participatory research approach to explore the needs of SB individuals, families and providers. This involved in depth interviews, focus groups and online surveys. One hundred and fifty-nine respondents contributed to this qualitative needs assessment. The research established a range of psychosocial, clinical, vocational and educational issues causing ongoing difficulties for SB individuals and families. Providers highlighted supports that would benefit the social and clinical wellbeing of persons with SB. Collectively participants in the study reported that there was an absence of coordinated, continuous and comprehensive service delivery for the SB community in the region. This was amplified by geographical location of services and access to relevant supports. Consensus across stakeholders in this research pointed to the necessity for an innovative model of community based provision at the Crann Centre. This was described as offering a service with family at the core of an assets based model of practice. A key finding was the lack of importance placed on the social and emotional development of SB individuals. Traditionally participants described a singular focus on physical health through clinically defined treatment models. The desire for a social model of disability that informed health and wellbeing of SB individuals and families emerged as a prominent recommendation from the research.
A theory-based model of translation practices in public health participatory research.
Clavier, Carole; Sénéchal, Yan; Vibert, Stéphane; Potvin, Louise
2012-06-01
This article explores the innovative practices of actors specifically mandated to support interactions between academic researchers and their partners from the community during public health participatory research. Drawing on the concept of translation as developed in actor-network theory and found in the literature on knowledge transfer and the sociology of intermediate actors, we build a theory-based model of the translation practices developed by these actors at the interface between community and university. We refine this model by using it to analyse material from two focus groups comprising participants purposively selected because they work at the nexus between research and practice. Our model of translation practices includes cognitive (dealing with the contents of the research), strategic (geared to facilitating the research process and balancing power relationships among the partners) and logistic practices (the hands-on tasks of coordination). Combined, these three types of translation practices demonstrate that actors working at the interface in participatory research contribute to multidirectional exchanges and the co-construction of knowledge among research partners. Beyond the case of participatory research, theorising translation practices helps understand how knowledge is produced at the interface between academic and experiential (or lay) knowledge. © 2011 The Authors. Sociology of Health & Illness © 2011 Foundation for the Sociology of Health & Illness/Blackwell Publishing Ltd.
NASA Astrophysics Data System (ADS)
Liu, Q.
2011-09-01
At first, research advances on radiation transfer modeling on multi-scale remote sensing data are presented: after a general overview of remote sensing radiation transfer modeling, several recent research advances are presented, including leaf spectrum model (dPROS-PECT), vegetation canopy BRDF models, directional thermal infrared emission models(TRGM, SLEC), rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed. The land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation etc. are taken as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is designed and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China will be introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1-km2 for remote sensing product validation.
Learning with Artificial Worlds: Computer-Based Modelling in the Curriculum.
ERIC Educational Resources Information Center
Mellar, Harvey, Ed.; And Others
With the advent of the British National Curriculum, computer-based modeling has become an integral part of the school curriculum. This book is about modeling in education and providing children with computer tools to create and explore representations of the world. Members of the London Mental Models Group contributed their research: (1)…
Adopting a Models-Based Approach to Teaching Physical Education
ERIC Educational Resources Information Center
Casey, Ashley; MacPhail, Ann
2018-01-01
Background: The popularised notion of models-based practice (MBP) is one that focuses on the delivery of a model, e.g. Cooperative Learning, Sport Education, Teaching Personal and Social Responsibility, Teaching Games for Understanding. Indeed, while an abundance of research studies have examined the delivery of a single model and some have…
Research on precise modeling of buildings based on multi-source data fusion of air to ground
NASA Astrophysics Data System (ADS)
Li, Yongqiang; Niu, Lubiao; Yang, Shasha; Li, Lixue; Zhang, Xitong
2016-03-01
Aims at the accuracy problem of precise modeling of buildings, a test research was conducted based on multi-source data for buildings of the same test area , including top data of air-borne LiDAR, aerial orthophotos, and façade data of vehicle-borne LiDAR. After accurately extracted the top and bottom outlines of building clusters, a series of qualitative and quantitative analysis was carried out for the 2D interval between outlines. Research results provide a reliable accuracy support for precise modeling of buildings of air ground multi-source data fusion, on the same time, discussed some solution for key technical problems.
Domitrovich, Celene E.; Bradshaw, Catherine P.; Poduska, Jeanne M.; Hoagwood, Kimberly; Buckley, Jacquelyn A.; Olin, Serene; Romanelli, Lisa Hunter; Leaf, Philip J.; Greenberg, Mark T.; Ialongo, Nicholas S.
2011-01-01
Increased availability of research-supported, school-based prevention programs, coupled with the growing national policy emphasis on use of evidence-based practices, has contributed to a shift in research priorities from efficacy to implementation and dissemination. A critical issue in moving research to practice is ensuring high-quality implementation of both the intervention model and the support system for sustaining it. The paper describes a three-level framework for considering the implementation quality of school-based interventions. Future directions for research on implementation are discussed. PMID:27182282
Geospatial Modelling Approach for 3d Urban Densification Developments
NASA Astrophysics Data System (ADS)
Koziatek, O.; Dragićević, S.; Li, S.
2016-06-01
With growing populations, economic pressures, and the need for sustainable practices, many urban regions are rapidly densifying developments in the vertical built dimension with mid- and high-rise buildings. The location of these buildings can be projected based on key factors that are attractive to urban planners, developers, and potential buyers. Current research in this area includes various modelling approaches, such as cellular automata and agent-based modelling, but the results are mostly linked to raster grids as the smallest spatial units that operate in two spatial dimensions. Therefore, the objective of this research is to develop a geospatial model that operates on irregular spatial tessellations to model mid- and high-rise buildings in three spatial dimensions (3D). The proposed model is based on the integration of GIS, fuzzy multi-criteria evaluation (MCE), and 3D GIS-based procedural modelling. Part of the City of Surrey, within the Metro Vancouver Region, Canada, has been used to present the simulations of the generated 3D building objects. The proposed 3D modelling approach was developed using ESRI's CityEngine software and the Computer Generated Architecture (CGA) language.
Strangers at the Benchside: Research Ethics Consultation
Cho, Mildred K.; Tobin, Sara L.; Greely, Henry T.; McCormick, Jennifer; Boyce, Angie; Magnus, David
2008-01-01
Institutional ethics consultation services for biomedical scientists have begun to proliferate, especially for clinical researchers. We discuss several models of ethics consultation and describe a team-based approach used at Stanford University in the context of these models. As research ethics consultation services expand, there are many unresolved questions that need to be addressed, including what the scope, composition, and purpose of such services should be, whether core competencies for consultants can and should be defined, and how conflicts of interest should be mitigated. We make preliminary recommendations for the structure and process of research ethics consultation, based on our initial experiences in a pilot program. PMID:18570086
Eco-Logic: Logic-Based Approaches to Ecological Modelling
Daniel L. Schmoldt
1991-01-01
This paper summarizes the simulation research carried out during 1984-1989 at the University of Edinburgh. Two primary objectives of their research are 1) to provide tools for manipulating simulation models (i.e., implementation tools) and 2) to provide advice on conceptualizing real-world phenomena into an idealized representation for simulation (i.e., model design...
Social Relations in Childhood and Adolescence: The Convoy Model Perspective
ERIC Educational Resources Information Center
Levitt, Mary J.
2005-01-01
Research on the development of social relations has been largely fragmented along role-specific lines and dominated conceptually by attachment theory. The Convoy Model is presented as an alternative to traditional approaches that fail to capture the complexity of social relationships across time and context. Research based on the model converges…
Teaching Sustainable and Integrated Resource Management Using an Interactive Nexus Model
ERIC Educational Resources Information Center
Bajzelj, Bojana; Fenner, Richard A.; Curmi, Elizabeth; Richards, Keith S.
2016-01-01
Purpose: The purpose of this paper was to enhance and complement teaching about resource system feedbacks and environmental modelling. Students were given an interactive exercise based on a research model (ForeseerTM), developed by an inter-disciplinary research team, that explores the interconnectivity of water, energy and land resources. Two…
The National Center for Environmental Assessment (NCEA) has conducted and supported research addressing uncertainties in 2-stage clonal growth models for cancer as applied to formaldehyde. In this report, we summarized publications resulting from this research effort, discussed t...
Applying Silvia's Model of Interest to Academic Text: Is There a Third Appraisal?
ERIC Educational Resources Information Center
Connelly, Daniel A.
2011-01-01
Recent research, treating interest as an emotion, indicates the cognitive appraisals of novelty-complexity and coping potential predict interest. This appraisal-based model of interest has not yet been applied to educational research. The present study evaluated the significance of the model regarding the activity of reading expository,…
On the design of computer-based models for integrated environmental science.
McIntosh, Brian S; Jeffrey, Paul; Lemon, Mark; Winder, Nick
2005-06-01
The current research agenda in environmental science is dominated by calls to integrate science and policy to better understand and manage links between social (human) and natural (nonhuman) processes. Freshwater resource management is one area where such calls can be heard. Designing computer-based models for integrated environmental science poses special challenges to the research community. At present it is not clear whether such tools, or their outputs, receive much practical policy or planning application. It is argued that this is a result of (1) a lack of appreciation within the research modeling community of the characteristics of different decision-making processes including policy, planning, and (2) participation, (3) a lack of appreciation of the characteristics of different decision-making contexts, (4) the technical difficulties in implementing the necessary support tool functionality, and (5) the socio-technical demands of designing tools to be of practical use. This article presents a critical synthesis of ideas from each of these areas and interprets them in terms of design requirements for computer-based models being developed to provide scientific information support for policy and planning. Illustrative examples are given from the field of freshwater resources management. Although computer-based diagramming and modeling tools can facilitate processes of dialogue, they lack adequate simulation capabilities. Component-based models and modeling frameworks provide such functionality and may be suited to supporting problematic or messy decision contexts. However, significant technical (implementation) and socio-technical (use) challenges need to be addressed before such ambition can be realized.
2018-03-30
ARL-TR-8336 ● MAR 2018 US Army Research Laboratory Manipulating the Geometric Computer-aided Design of the Operational...so designated by other authorized documents. Citation of manufacturer’s or trade names does not constitute an official endorsement or approval of...Army Research Laboratory Manipulating the Geometric Computer-aided Design of the Operational Requirements-based Casualty Assessment Model within
Case-based Influence in Conflict Management
2014-10-31
AFRL-OSR-VA-TR-2014-0337 CASE-BASED INFLUENCE IN CONFLICT MANAGEMENT Robert Axelrod ARTIS RESEARCH & RISK MODELING Final Report 10/31/2014...FA9550-10-1-0373 Dr. Robert Axelrod - PI Dr. Richard Davis- PD ARTIS Research & Risk Modeling ARTIS 5741 Canyon Ridge North Cave Creek, AZ 85331-9318...analysis of the timing of cyber conflict that quickly received attention from over 30 countries. 3 1 Axelrod , Final Report and Publications Final
ERIC Educational Resources Information Center
Sahhyar; Nst, Febriani Hastini
2017-01-01
The purpose of this research was to analyze the physics cognitive competence and science process skill of students using scientific inquiry learning model based on conceptual change better than using conventional learning. The research type was quasi experiment and two group pretest-posttest designs were used in this study. The sample were Class…
Vortex Wakes of Conventional Aircraft
1975-05-01
Research Laboratories, Wright-Patterson Air Force Base , Ohio 45433, USA This work was prepared at the request of the Fluid Dynamics Panel of AGARD. THE...aerospace sciences relevant to strengthening the common defence posture; - Improving the co-operation among member nations in aerospace research and...two models have been developed to describe the inviscid structure of the vortex wake. The first model was due to Prandtl [10] and is based on the
Experimental Evaluation of the Effects of a Research-Based Preschool Mathematics Curriculum
ERIC Educational Resources Information Center
Clements, Douglas H.; Sarama, Julie
2008-01-01
A randomized-trials design was used to evaluate the effectiveness of a preschool mathematics program based on a comprehensive model of research-based curricula development. Thirty-six preschool classrooms were assigned to experimental (Building Blocks), comparison (a different preschool mathematics curriculum), or control conditions. Children were…
ERIC Educational Resources Information Center
Guldberg, Karen; Parsons, Sarah; Porayska-Pomsta, Kaska; Keay-Bright, Wendy
2017-01-01
Experimental intervention studies constitute the current dominant research designs in the autism education field. Such designs are based on a "knowledge-transfer" model of evidence-based practice in which research is conducted by researchers, and is then "transferred" to practitioners to enable them to implement evidence-based…
A survey of real face modeling methods
NASA Astrophysics Data System (ADS)
Liu, Xiaoyue; Dai, Yugang; He, Xiangzhen; Wan, Fucheng
2017-09-01
The face model has always been a research challenge in computer graphics, which involves the coordination of multiple organs in faces. This article explained two kinds of face modeling method which is based on the data driven and based on parameter control, analyzed its content and background, summarized their advantages and disadvantages, and concluded muscle model which is based on the anatomy of the principle has higher veracity and easy to drive.
From translational research to open technology innovation systems.
Savory, Clive; Fortune, Joyce
2015-01-01
The purpose of this paper is to question whether the emphasis placed within translational research on a linear model of innovation provides the most effective model for managing health technology innovation. Several alternative perspectives are presented that have potential to enhance the existing model of translational research. A case study is presented of innovation of a clinical decision support system. The paper concludes from the case study that an extending the triple helix model of technology transfer, to one based on a quadruple helix, present a basis for improving the performance translational research. A case study approach is used to help understand development of an innovative technology within a teaching hospital. The case is then used to develop and refine a model of the health technology innovation system. The paper concludes from the case study that existing models of translational research could be refined further through the development of a quadruple helix model of heath technology innovation that encompasses greater emphasis on user-led and open innovation perspectives. The paper presents several implications for future research based on the need to enhance the model of health technology innovation used to guide policy and practice. The quadruple helix model of innovation that is proposed can potentially guide alterations to the existing model of translational research in the healthcare sector. Several suggestions are made for how innovation activity can be better supported at both a policy and operational level. This paper presents a synthesis of the innovation literature applied to a theoretically important case of open innovation in the UK National Health Service. It draws in perspectives from other industrial sectors and applies them specifically to the management and organisation of innovation activities around health technology and the services in which they are embedded.
NASA Astrophysics Data System (ADS)
Liu, Q.; Li, J.; Du, Y.; Wen, J.; Zhong, B.; Wang, K.
2011-12-01
As the remote sensing data accumulating, it is a challenge and significant issue how to generate high accurate and consistent land surface parameter product from the multi source remote observation and the radiation transfer modeling and inversion methodology are the theoretical bases. In this paper, recent research advances and unresolved issues are presented. At first, after a general overview, recent research advances on multi-scale remote sensing radiation transfer modeling are presented, including leaf spectrum model, vegetation canopy BRDF models, directional thermal infrared emission models, rugged mountains area radiation models, and kernel driven models etc. Then, new methodologies on land surface parameters inversion based on multi-source remote sensing data are proposed, taking the land surface Albedo, leaf area index, temperature/emissivity, and surface net radiation as examples. A new synthetic land surface parameter quantitative remote sensing product generation system is suggested and the software system prototype will be demonstrated. At last, multi-scale field experiment campaigns, such as the field campaigns in Gansu and Beijing, China are introduced briefly. The ground based, tower based, and airborne multi-angular measurement system have been built to measure the directional reflectance, emission and scattering characteristics from visible, near infrared, thermal infrared and microwave bands for model validation and calibration. The remote sensing pixel scale "true value" measurement strategy have been designed to gain the ground "true value" of LST, ALBEDO, LAI, soil moisture and ET etc. at 1-km2 for remote sensing product validation.
Organic acid modeling and model validation: Workshop summary. Final report
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sullivan, T.J.; Eilers, J.M.
1992-08-14
A workshop was held in Corvallis, Oregon on April 9--10, 1992 at the offices of E&S Environmental Chemistry, Inc. The purpose of this workshop was to initiate research efforts on the entitled ``Incorporation of an organic acid representation into MAGIC (Model of Acidification of Groundwater in Catchments) and testing of the revised model using Independent data sources.`` The workshop was attended by a team of internationally-recognized experts in the fields of surface water acid-bass chemistry, organic acids, and watershed modeling. The rationale for the proposed research is based on the recent comparison between MAGIC model hindcasts and paleolimnological inferences ofmore » historical acidification for a set of 33 statistically-selected Adirondack lakes. Agreement between diatom-inferred and MAGIC-hindcast lakewater chemistry in the earlier research had been less than satisfactory. Based on preliminary analyses, it was concluded that incorporation of a reasonable organic acid representation into the version of MAGIC used for hindcasting was the logical next step toward improving model agreement.« less
Organic acid modeling and model validation: Workshop summary
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sullivan, T.J.; Eilers, J.M.
1992-08-14
A workshop was held in Corvallis, Oregon on April 9--10, 1992 at the offices of E S Environmental Chemistry, Inc. The purpose of this workshop was to initiate research efforts on the entitled Incorporation of an organic acid representation into MAGIC (Model of Acidification of Groundwater in Catchments) and testing of the revised model using Independent data sources.'' The workshop was attended by a team of internationally-recognized experts in the fields of surface water acid-bass chemistry, organic acids, and watershed modeling. The rationale for the proposed research is based on the recent comparison between MAGIC model hindcasts and paleolimnological inferencesmore » of historical acidification for a set of 33 statistically-selected Adirondack lakes. Agreement between diatom-inferred and MAGIC-hindcast lakewater chemistry in the earlier research had been less than satisfactory. Based on preliminary analyses, it was concluded that incorporation of a reasonable organic acid representation into the version of MAGIC used for hindcasting was the logical next step toward improving model agreement.« less
The Zero Suicide Model: Applying Evidence-Based Suicide Prevention Practices to Clinical Care
Brodsky, Beth S.; Spruch-Feiner, Aliza; Stanley, Barbara
2018-01-01
Suicide is reaching epidemic proportions, with over 44,000 deaths by suicide in the US, and 800,000 worldwide in 2015. This, despite research and development of evidence-based interventions that target suicidal behavior directly. Suicide prevention efforts need a comprehensive approach, and research must lead to effective implementation across public and mental health systems. A 10-year systematic review of evidence-based findings in suicide prevention summarized the areas necessary for translating research into practice. These include risk assessment, means restriction, evidence-based treatments, population screening combined with chain of care, monitoring, and follow-up. In this article, we review how suicide prevention research informs implementation in clinical settings where those most at risk present for care. Evidence-based and best practices address the fluctuating nature of suicide risk, which requires ongoing risk assessment, direct intervention and monitoring. In the US, the National Action Alliance for Suicide Prevention has put forth the Zero Suicide (ZS) Model, a framework to coordinate a multilevel approach to implementing evidence-based practices. We present the Assess, Intervene and Monitor for Suicide Prevention model (AIM-SP) as a guide for implementation of ZS evidence-based and best practices in clinical settings. Ten basic steps for clinical management model will be described and illustrated through case vignette. These steps are designed to be easily incorporated into standard clinical practice to enhance suicide risk assessment, brief interventions to increase safety and teach coping strategies and to improve ongoing contact and monitoring of high-risk individuals during transitions in care and high risk periods. PMID:29527178
Imbalance detection in a manufacturing system: An agent-based model usage
NASA Astrophysics Data System (ADS)
Shevchuk, G. K.; Zvereva, O. M.; Medvedev, M. A.
2017-11-01
This paper delivers the results of the research work targeted at communications in a manufacturing system. A computer agent-based model which simulates manufacturing system functioning has been engineered. The system lifecycle consists of two recursively repeated stages: a communication stage and a production stage. Model data sets were estimated with the static Leontief's equilibrium equation usage. In experiments relationships between the manufacturing system lifecycle time and conditions of equilibrium violations have been identified. The research results are to be used to propose violation negative influence compensation methods.
Blue, Christine M.; Funkhouser, D. Ellen; Riggs, Sheila; Rindal, D. Brad; Worley, Donald; Pihlstrom, Daniel J.; Benjamin, Paul; Gilbert, Gregg H.
2014-01-01
Objectives The purpose of this study was to quantify within The National Dental Practice-Based Research Network current utilization of dental hygienists and assistants with expanded functions and quantify network dentists’ attitudes toward a new non-dentist provider model - the dental therapist. Methods Dental practice-based research network practitioner-investigators participated in a single, cross-sectional administration of a questionnaire. Results Current non-dentist providers are not being utilized by network practitioner-investigators to the fullest extent allowed by law. Minnesota practitioners, practitioners in large group practices, and those with prior experience with expanded function non-dentist providers delegate at a higher rate and had more-positive perceptions of the new dental therapist model. Conclusions Expanding scopes of practice for dental hygienists and assistants has not translated to the maximal delegation allowed by law among network practices. This finding may provide insight into dentists’ acceptance of newer non-dentist provider models. PMID:23668892
An approach for modelling snowcover ablation and snowmelt runoff in cold region environments
NASA Astrophysics Data System (ADS)
Dornes, Pablo Fernando
Reliable hydrological model simulations are the result of numerous complex interactions among hydrological inputs, landscape properties, and initial conditions. Determination of the effects of these factors is one of the main challenges in hydrological modelling. This situation becomes even more difficult in cold regions due to the ungauged nature of subarctic and arctic environments. This research work is an attempt to apply a new approach for modelling snowcover ablation and snowmelt runoff in complex subarctic environments with limited data while retaining integrity in the process representations. The modelling strategy is based on the incorporation of both detailed process understanding and inputs along with information gained from observations of basin-wide streamflow phenomenon; essentially a combination of deductive and inductive approaches. The study was conducted in the Wolf Creek Research Basin, Yukon Territory, using three models, a small-scale physically based hydrological model, a land surface scheme, and a land surface hydrological model. The spatial representation was based on previous research studies and observations, and was accomplished by incorporating landscape units, defined according to topography and vegetation, as the spatial model elements. Comparisons between distributed and aggregated modelling approaches showed that simulations incorporating distributed initial snowcover and corrected solar radiation were able to properly simulate snowcover ablation and snowmelt runoff whereas the aggregated modelling approaches were unable to represent the differential snowmelt rates and complex snowmelt runoff dynamics. Similarly, the inclusion of spatially distributed information in a land surface scheme clearly improved simulations of snowcover ablation. Application of the same modelling approach at a larger scale using the same landscape based parameterisation showed satisfactory results in simulating snowcover ablation and snowmelt runoff with minimal calibration. Verification of this approach in an arctic basin illustrated that landscape based parameters are a feasible regionalisation framework for distributed and physically based models. In summary, the proposed modelling philosophy, based on the combination of an inductive and deductive reasoning, is a suitable strategy for reliable predictions of snowcover ablation and snowmelt runoff in cold regions and complex environments.
Analysis of crack propagation in human long bone by using finite element modeling
NASA Astrophysics Data System (ADS)
Salim, Mohammad Shahril; Salleh, Ahmad Faizal; Daud, Ruslizam
2017-12-01
The aim of this research is to present a numerical modeling of crack for human long bone specifically on femur shaft bone under mode I loading condition. Two - dimensional model (2D) of long bone was developed based on past research study. The finite element analysis and construction of the model are done using Mechanical APDL (ANSYS) v14.0 software. The research was conducted mainly based on two conditions that were at different crack lengths and different loading forces for male and female. In order to evaluate the stress intensity factor (KI) of the femur shaft of long bone, this research employed finite element method to predict the brittle fracture loading by using three-point bending test. The result of numerical test found that the crack was formed when the crack length reached 0.0022 m where KI values are proportional with the crack's length. Also, various loading forces in range of 400 N to 1000 N were applied in an attempt to study their effect on stress intensity factor and it was found that the female dimension has higher KI values compared to male. It was also observed that K values found by this method have good agreement with theoretical results based on previous research.
A Facet Theory Model for Integrating Contextual and Personal Experiences of International Students
ERIC Educational Resources Information Center
Hackett, Paul M. W.
2014-01-01
The purpose of this article is to use a facet theory research approach to provide a clear, coherent, and integrated model of international students' experiences based upon the findings of psychological research into students when studying abroad. In research that employs a facet theory approach events are classified in terms of their constituent…
Emergent Frameworks of Research Teaching and Learning in a Cohort-Based Doctoral Programme
ERIC Educational Resources Information Center
Samuel, Michael; Vithal, Renuka
2011-01-01
This article argues that alternate models of doctoral research teaching and learning pedagogy could address the challenge of under-productivity of doctoral graduands in the South African higher education system. Present literature tends not to focus on the models of research teaching and learning as a form of pedagogy. The article presents a case…
Development of field-based models of suitable thermal regimes for interior Columbia Basin salmonids
Jason B. Dunham; Bruce Rieman; Gwynne Chandler
2001-01-01
This report describes results of research sponsored through an interagency agreement between the U.S. Forest Service Rocky Mountain Research Station and U.S. Environmental Protection Agency (Interagency Agreement #00-IA-11222014-521). The primary objectives of this research included 1) develop models relating occurrence of two threatened inland salmonid fishes to...
Pathways to Co-Impact: Action Research and Community Organising
ERIC Educational Resources Information Center
Banks, Sarah; Herrington, Tracey; Carter, Kath
2017-01-01
This article introduces the concept of "co-impact" to characterise the complex and dynamic process of social and economic change generated by participatory action research (PAR). It argues that dominant models of research impact tend to see it as a linear process, based on a donor-recipient model, occurring at the end of a project…
Flying, Feathery and Beaked Objects: Children's Mental Models about Birds
ERIC Educational Resources Information Center
Ahi, Berat
2016-01-01
Purpose of this research is to state preschool students' mental model about birds by analyzing their drawing. This is a hermeneutical phenomenology research that is based on social constructivist philosophy. Typical case sampling method has used in order to form working group of this research. Working group consisting of 325 children who are in…
The Implementation of Models-Based Practice in Physical Education through Action Research
ERIC Educational Resources Information Center
Casey, Ashley; Dyson, Ben
2009-01-01
The purpose of this study was to explore the use of action research as a framework to investigate cooperative learning and tactical games as instructional models in physical education (PE). The teacher/researcher taught a tennis unit using a combination of Cooperative Learning and Teaching Games for Understanding to three classes of boys aged…
Arif, Anmar; Wang, Zhaoyu; Wang, Jianhui; ...
2017-05-02
Load modeling has significant impact on power system studies. This paper presents a review on load modeling and identification techniques. Load models can be classified into two broad categories: static and dynamic models, while there are two types of approaches to identify model parameters: measurement-based and component-based. Load modeling has received more attention in recent years because of the renewable integration, demand-side management, and smart metering devices. However, the commonly used load models are outdated, and cannot represent emerging loads. There is a need to systematically review existing load modeling techniques and suggest future research directions to meet the increasingmore » interests from industry and academia. In this study, we provide a thorough survey on the academic research progress and industry practices, and highlight existing issues and new trends in load modeling.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Arif, Anmar; Wang, Zhaoyu; Wang, Jianhui
Load modeling has significant impact on power system studies. This paper presents a review on load modeling and identification techniques. Load models can be classified into two broad categories: static and dynamic models, while there are two types of approaches to identify model parameters: measurement-based and component-based. Load modeling has received more attention in recent years because of the renewable integration, demand-side management, and smart metering devices. However, the commonly used load models are outdated, and cannot represent emerging loads. There is a need to systematically review existing load modeling techniques and suggest future research directions to meet the increasingmore » interests from industry and academia. In this study, we provide a thorough survey on the academic research progress and industry practices, and highlight existing issues and new trends in load modeling.« less
The importance of explicitly mapping instructional analogies in science education
NASA Astrophysics Data System (ADS)
Asay, Loretta Johnson
Analogies are ubiquitous during instruction in science classrooms, yet research about the effectiveness of using analogies has produced mixed results. An aspect seldom studied is a model of instruction when using analogies. The few existing models for instruction with analogies have not often been examined quantitatively. The Teaching With Analogies (TWA) model (Glynn, 1991) is one of the models frequently cited in the variety of research about analogies. The TWA model outlines steps for instruction, including the step of explicitly mapping the features of the source to the target. An experimental study was conducted to examine the effects of explicitly mapping the features of the source and target in an analogy during computer-based instruction about electrical circuits. Explicit mapping was compared to no mapping and to a control with no analogy. Participants were ninth- and tenth-grade biology students who were each randomly assigned to one of three conditions (no analogy module, analogy module, or explicitly mapped analogy module) for computer-based instruction. Subjects took a pre-test before the instruction, which was used to assign them to a level of previous knowledge about electrical circuits for analysis of any differential effects. After the instruction modules, students took a post-test about electrical circuits. Two weeks later, they took a delayed post-test. No advantage was found for explicitly mapping the analogy. Learning patterns were the same, regardless of the type of instruction. Those who knew the least about electrical circuits, based on the pre-test, made the most gains. After the two-week delay, this group maintained the largest amount of their gain. Implications exist for science education classrooms, as analogy use should be based on research about effective practices. Further studies are suggested to foster the building of research-based models for classroom instruction with analogies.
Resource Allocation Based on Evaluation of Research.
ERIC Educational Resources Information Center
Fransson, Rune
1985-01-01
At Sweden's Karolinska Institute, a resource allocation model for medical research in use since 1970 allows the research activity of the different departments to affect resource allocation direclty. (MSE)
Impact of Learning Model Based on Cognitive Conflict toward Student’s Conceptual Understanding
NASA Astrophysics Data System (ADS)
Mufit, F.; Festiyed, F.; Fauzan, A.; Lufri, L.
2018-04-01
The problems that often occur in the learning of physics is a matter of misconception and low understanding of the concept. Misconceptions do not only happen to students, but also happen to college students and teachers. The existing learning model has not had much impact on improving conceptual understanding and remedial efforts of student misconception. This study aims to see the impact of cognitive-based learning model in improving conceptual understanding and remediating student misconceptions. The research method used is Design / Develop Research. The product developed is a cognitive conflict-based learning model along with its components. This article reports on product design results, validity tests, and practicality test. The study resulted in the design of cognitive conflict-based learning model with 4 learning syntaxes, namely (1) preconception activation, (2) presentation of cognitive conflict, (3) discovery of concepts & equations, (4) Reflection. The results of validity tests by some experts on aspects of content, didactic, appearance or language, indicate very valid criteria. Product trial results also show a very practical product to use. Based on pretest and posttest results, cognitive conflict-based learning models have a good impact on improving conceptual understanding and remediating misconceptions, especially in high-ability students.
NASA Astrophysics Data System (ADS)
Zuhrie, M. S.; Basuki, I.; Asto B, I. G. P.; Anifah, L.
2018-01-01
The focus of the research is the teaching module which incorporates manufacturing, planning mechanical designing, controlling system through microprocessor technology and maneuverability of the robot. Computer interactive and computer-assisted learning is strategies that emphasize the use of computers and learning aids (computer assisted learning) in teaching and learning activity. This research applied the 4-D model research and development. The model is suggested by Thiagarajan, et.al (1974). 4-D Model consists of four stages: Define Stage, Design Stage, Develop Stage, and Disseminate Stage. This research was conducted by applying the research design development with an objective to produce a tool of learning in the form of intelligent robot modules and kit based on Computer Interactive Learning and Computer Assisted Learning. From the data of the Indonesia Robot Contest during the period of 2009-2015, it can be seen that the modules that have been developed confirm the fourth stage of the research methods of development; disseminate method. The modules which have been developed for students guide students to produce Intelligent Robot Tool for Teaching Based on Computer Interactive Learning and Computer Assisted Learning. Results of students’ responses also showed a positive feedback to relate to the module of robotics and computer-based interactive learning.
Kelly, J A; Somlai, A M; DiFranceisco, W J; Otto-Salaj, L L; McAuliffe, T L; Hackl, K L; Heckman, T G; Holtgrave, D R; Rompa, D
2000-01-01
OBJECTIVES: AIDS service organizations (ASOs) rarely have access to the information needed to implement research-based HIV prevention interventions for their clients. We compared the effectiveness of 3 dissemination strategies for transferring HIV prevention models from the research arena to community providers of HIV prevention services. METHODS: Interviews were conducted with the directors of 74 ASOs to assess current HIV prevention services. ASOs were randomized to programs that provided (1) technical assistance manuals describing how to implement research-based HIV prevention interventions, (2) manuals plus a staff training workshop on how to conduct the implementation, or (3) manuals, the training workshop, and follow-up telephone consultation calls. Follow-up interviews determined whether the intervention model had been adopted. RESULTS: The dissemination package that provided ASOs with implementation manuals, staff training workshops, and follow-up consultation resulted in more frequent adoption and use of the research-based HIV prevention intervention for gay men, women, and other client populations. CONCLUSIONS: Strategies are needed to quickly transfer research-based HIV prevention methods to community providers of HIV prevention services. Active collaboration between researchers and service agencies results in more successful program adoption than distribution of implementation packages alone. PMID:10897186
Wiley, Emily A.; Stover, Nicholas A.
2014-01-01
Use of inquiry-based research modules in the classroom has soared over recent years, largely in response to national calls for teaching that provides experience with scientific processes and methodologies. To increase the visibility of in-class studies among interested researchers and to strengthen their impact on student learning, we have extended the typical model of inquiry-based labs to include a means for targeted dissemination of student-generated discoveries. This initiative required: 1) creating a set of research-based lab activities with the potential to yield results that a particular scientific community would find useful and 2) developing a means for immediate sharing of student-generated results. Working toward these goals, we designed guides for course-based research aimed to fulfill the need for functional annotation of the Tetrahymena thermophila genome, and developed an interactive Web database that links directly to the official Tetrahymena Genome Database for immediate, targeted dissemination of student discoveries. This combination of research via the course modules and the opportunity for students to immediately “publish” their novel results on a Web database actively used by outside scientists culminated in a motivational tool that enhanced students’ efforts to engage the scientific process and pursue additional research opportunities beyond the course. PMID:24591511
Wiley, Emily A; Stover, Nicholas A
2014-01-01
Use of inquiry-based research modules in the classroom has soared over recent years, largely in response to national calls for teaching that provides experience with scientific processes and methodologies. To increase the visibility of in-class studies among interested researchers and to strengthen their impact on student learning, we have extended the typical model of inquiry-based labs to include a means for targeted dissemination of student-generated discoveries. This initiative required: 1) creating a set of research-based lab activities with the potential to yield results that a particular scientific community would find useful and 2) developing a means for immediate sharing of student-generated results. Working toward these goals, we designed guides for course-based research aimed to fulfill the need for functional annotation of the Tetrahymena thermophila genome, and developed an interactive Web database that links directly to the official Tetrahymena Genome Database for immediate, targeted dissemination of student discoveries. This combination of research via the course modules and the opportunity for students to immediately "publish" their novel results on a Web database actively used by outside scientists culminated in a motivational tool that enhanced students' efforts to engage the scientific process and pursue additional research opportunities beyond the course.
ERIC Educational Resources Information Center
Olszewski-Kubilius, Paula; Steenbergen-Hu, Saiying
2017-01-01
In this article, we advocate for a new movement in education, particularly an approach emphasizing blending research-based practice with practice-embedded research. We do so by describing and discussing Project Excite, a working example that demonstrates such a model in the context of gifted education. We first trace the history, the impetus, and…
NASA Astrophysics Data System (ADS)
Rosyidah, T. H.; Firman, H.; Rusyati, L.
2017-02-01
This research was comparing virtual and paper-based test to measure students’ critical thinking based on VAK (Visual-Auditory-Kynesthetic) learning style model. Quasi experiment method with one group post-test only design is applied in this research in order to analyze the data. There was 40 eight grade students at one of public junior high school in Bandung becoming the sample in this research. The quantitative data was obtained through 26 questions about living thing and environment sustainability which is constructed based on the eight elements of critical thinking and be provided in the form of virtual and paper-based test. Based on analysis of the result, it is shown that within visual, auditory, and kinesthetic were not significantly difference in virtual and paper-based test. Besides, all result was supported by quistionnaire about students’ respond on virtual test which shows 3.47 in the scale of 4. Means that student showed positive respond in all aspet measured, which are interest, impression, and expectation.
NASA Technical Reports Server (NTRS)
1997-01-01
This CP contains the extended abstracts and presentation figures of 36 papers presented at the PPM and Other Propulsion R&T Conference. The focus of the research described in these presentations is on materials and structures technologies that are parts of the various projects within the NASA Aeronautics Propulsion Systems Research and Technology Base Program. These projects include Physics and Process Modeling; Smart, Green Engine; Fast, Quiet Engine; High Temperature Engine Materials Program; and Hybrid Hyperspeed Propulsion. Also presented were research results from the Rotorcraft Systems Program and work supported by the NASA Lewis Director's Discretionary Fund. Authors from NASA Lewis Research Center, industry, and universities conducted research in the following areas: material processing, material characterization, modeling, life, applied life models, design techniques, vibration control, mechanical components, and tribology. Key issues, research accomplishments, and future directions are summarized in this publication.
Use of the Computer for Research on Instruction and Student Understanding in Physics.
NASA Astrophysics Data System (ADS)
Grayson, Diane Jeanette
This dissertation describes an investigation of how the computer may be utilized to perform research on instruction and on student understanding in physics. The research was conducted within three content areas: kinematics, waves and dynamics. The main focus of the research on instruction was the determination of factors needed for a computer program to be instructionally effective. The emphasis in the research on student understanding was the identification of specific conceptual and reasoning difficulties students encounter with the subject matter. Most of the research was conducted using the computer -based interview, a technique developed during the early part of the work, conducted within the domain of kinematics. In a computer-based interview, a student makes a prediction about how a particular system will behave under given circumstances, observes a simulation of the event on a computer screen, and then is asked by an interviewer to explain any discrepancy between prediction and observation. In the course of the research, a model was developed for producing educational software. The model has three important components: (i) research on student difficulties in the content area to be addressed, (ii) observations of students using the computer program, and (iii) consequent program modification. This model was used to guide the development of an instructional computer program dealing with graphical representations of transverse pulses. Another facet of the research involved the design of a computer program explicitly for the purposes of research. A computer program was written that simulates a modified Atwood's machine. The program was than used in computer -based interviews and proved to be an effective means of probing student understanding of dynamics concepts. In order to ascertain whether or not the student difficulties identified were peculiar to the computer, laboratory-based interviews with real equipment were also conducted. The laboratory-based interviews were designed to parallel the computer-based interviews as closely as possible. The results of both types of interviews are discussed in detail. The dissertation concludes with a discussion of some of the benefits of using the computer in physics instruction and physics education research. Attention is also drawn to some of the limitations of the computer as a research instrument or instructional device.
Bonvecchio, Anabelle; Théodore, Florence L; Safdie, Margarita; Duque, Tiffany; Villanueva, María Ángeles; Torres, Catalina; Rivera, Juan
2014-01-01
This paper describes the methods and key findings of formative research conducted to design a school-based program for obesity prevention. Formative research was based on the ecological model and the principles of social marketing. A mixed method approach was used. Qualitative (direct observation, indepth interviews, focus group discussions and photo-voice) and quantitative (closed ended surveys, checklists, anthropometry) methods were employed. Formative research key findings, including barriers by levels of the ecological model, were used for designing a program including environmental strategies to discourage the consumption of energy dense foods and sugar beverages. Formative research was fundamental to developing a context specific obesity prevention program in schools that seeks environment modification and behavior change.
Suicide in the media: a quantitative review of studies based on non-fictional stories.
Stack, Steven
2005-04-01
Research on the effect of suicide stories in the media on suicide in the real world has been marked by much debate and inconsistent findings. Recent narrative reviews have suggested that research based on nonfictional models is more apt to uncover imitative effects than research based on fictional models. There is, however, substantial variation in media effects within the research restricted to nonfictional accounts of suicide. The present analysis provides some explanations of the variation in findings in the work on nonfictional media. Logistic regression techniques applied to 419 findings from 55 studies determined that: (1) studies measuring the presence of either an entertainment or political celebrity were 5.27 times more likely to find a copycat effect, (2) studies focusing on stories that stressed negative definitions of suicide were 99% less likely to report a copycat effect, (3) research based on television stories (which receive less coverage than print stories) were 79% less likely to find a copycat effect, and (4) studies focusing on female suicide were 4.89 times more likely to report a copycat effect than other studies. The full logistic regression model correctly classified 77.3% of the findings from the 55 studies. Methodological differences among studies are associated with discrepancies in their results.
Martin, G W; Herie, M A; Turner, B J; Cunningham, J A
1998-11-01
Researchers must develop effective strategies for disseminating research-based treatments. This study evaluates the application of a dissemination model based on principles of social marketing and diffusion theory. A case study describes how the model was implemented. A qualitative design was employed to examine rates of adoption and adaptation of an early intervention program by a targeted system of addictions agencies. The interventions were developed at the Addiction Research Foundation in Toronto and disseminated to Assessment and Referral (A/R) Centres in Ontario, Canada. Study participants included the managers and a designated therapist for 33 participating A/R centres. Managers were asked mainly open-ended questions concerning whether their agency had made a formal decision to adopt the intervention and whether therapists in their agency were using the early intervention program. "Adoption" was operationalized as offering the complete four-session intervention to at least one client. At 12 months after the completion of training workshops, 68% of 34 agencies in the target system had adopted the program while 85% of the agencies were using some components of the intervention with clients. The dissemination model appeared to be effective although its application proved to be time-consuming and labour-intensive. The "market analysis", systems focus and field-test components of the model appeared to contribute to its success.
Technology transfer from biomedical research to clinical practice: measuring innovation performance.
Balas, E Andrew; Elkin, Peter L
2013-12-01
Studies documented 17 years of transfer time from clinical trials to practice of care. Launched in 2002, the National Institutes of Health (NIH) translational research initiative needs to develop metrics for impact assessment. A recent White House report highlighted that research and development productivity is declining as a result of increased research spending while the new drugs output is flat. The goal of this study was to develop an expanded model of research-based innovation and performance thresholds of transfer from research to practice. Models for transfer of research to practice have been collected and reviewed. Subsequently, innovation pathways have been specified based on common characteristics. An integrated, intellectual property transfer model is described. The central but often disregarded role of research innovation disclosure is highlighted. Measures of research transfer and milestones of progress have been identified based on the Association of University Technology Managers 2012 performance reports. Numeric milestones of technology transfer are recommended at threshold (top 50%), target (top 25%), and stretch goal (top 10%) performance levels. Transfer measures and corresponding target levels include research spending to disclosure (<$1.88 million), disclosure to patents (>0.81), patents to start-up (>0.1), patents to licenses (>2.25), and average per license income (>$48,000). Several limitations of measurement are described. Academic institutions should take strategic steps to bring innovation to the center of scholarly discussions. Research on research, particularly on pathways to disclosures, is needed to improve R&D productivity. Researchers should be informed about the technology transfer performance of their institution and regulations should better support innovators.
A Systematic Review of Studies on Leadership Models in Educational Research from 1980 to 2014
ERIC Educational Resources Information Center
Gumus, Sedat; Bellibas, Mehmet Sukru; Esen, Murat; Gumus, Emine
2018-01-01
The purpose of this study is to reveal the extent to which different leadership models in education are studied, including the change in the trends of research on each model over time, the most prominent scholars working on each model, and the countries in which the articles are based. The analysis of the related literature was conducted by first…
Multilevel Modeling in Psychosomatic Medicine Research
Myers, Nicholas D.; Brincks, Ahnalee M.; Ames, Allison J.; Prado, Guillermo J.; Penedo, Frank J.; Benedict, Catherine
2012-01-01
The primary purpose of this manuscript is to provide an overview of multilevel modeling for Psychosomatic Medicine readers and contributors. The manuscript begins with a general introduction to multilevel modeling. Multilevel regression modeling at two-levels is emphasized because of its prevalence in psychosomatic medicine research. Simulated datasets based on some core ideas from the Familias Unidas effectiveness study are used to illustrate key concepts including: communication of model specification, parameter interpretation, sample size and power, and missing data. Input and key output files from Mplus and SAS are provided. A cluster randomized trial with repeated measures (i.e., three-level regression model) is then briefly presented with simulated data based on some core ideas from a cognitive behavioral stress management intervention in prostate cancer. PMID:23107843
Brannan, Grace D
2016-05-01
In general, physicians' interest in research continues to be a challenge. The lack of research culture is more pronounced in the osteopathic medical profession, which is historically not research oriented. With increasing focus on evidence-based medicine and with the single accreditation system for graduate medical education in motion, growing research and scholarly activities among osteopathic physicians and students and residents becomes imperative. This article illustrates how an educational consortium, such as an osteopathic postdoctoral training institution, can play a pivotal role in creating a culture of research through broad-based training of medical students and residents.
Knowledge-Based Environmental Context Modeling
NASA Astrophysics Data System (ADS)
Pukite, P. R.; Challou, D. J.
2017-12-01
As we move from the oil-age to an energy infrastructure based on renewables, the need arises for new educational tools to support the analysis of geophysical phenomena and their behavior and properties. Our objective is to present models of these phenomena to make them amenable for incorporation into more comprehensive analysis contexts. Starting at the level of a college-level computer science course, the intent is to keep the models tractable and therefore practical for student use. Based on research performed via an open-source investigation managed by DARPA and funded by the Department of Interior [1], we have adapted a variety of physics-based environmental models for a computer-science curriculum. The original research described a semantic web architecture based on patterns and logical archetypal building-blocks (see figure) well suited for a comprehensive environmental modeling framework. The patterns span a range of features that cover specific land, atmospheric and aquatic domains intended for engineering modeling within a virtual environment. The modeling engine contained within the server relied on knowledge-based inferencing capable of supporting formal terminology (through NASA JPL's Semantic Web for Earth and Environmental Technology (SWEET) ontology and a domain-specific language) and levels of abstraction via integrated reasoning modules. One of the key goals of the research was to simplify models that were ordinarily computationally intensive to keep them lightweight enough for interactive or virtual environment contexts. The breadth of the elements incorporated is well-suited for learning as the trend toward ontologies and applying semantic information is vital for advancing an open knowledge infrastructure. As examples of modeling, we have covered such geophysics topics as fossil-fuel depletion, wind statistics, tidal analysis, and terrain modeling, among others. Techniques from the world of computer science will be necessary to promote efficient use of our renewable natural resources. [1] C2M2L (Component, Context, and Manufacturing Model Library) Final Report, https://doi.org/10.13140/RG.2.1.4956.3604
Brookman-Frazee, Lauren; Stahmer, Aubyn; Stadnick, Nicole; Chlebowski, Colby; Herschell, Amy; Garland, Ann
2015-01-01
This study characterized the use of research community partnerships (RCPs) to tailor evidence-based intervention, training, and implementation models for delivery across different childhood problems and service contexts using a survey completed by project principal investigators and community partners. To build on previous RCP research and to explicate the tacit knowledge gained through collaborative efforts, the following were examined: (1) characteristics of studies using RCP models; (2) RCP functioning, processes, and products; (3) processes of tailoring evidence-based practices (EBPs) for community implementation ; and (4) perceptions of the benefits and challenges of collaborating with community providers and consumers. Results indicated that researchers were solely or jointly involved in the formation of almost all of the RCPs; interpersonal and operational processes were perceived as primary challenges; community partners’ roles included greater involvement in implementation and participant recruitment than more traditional research activities; and the partnership process was perceived to increase the relevance and “fit” of interventions and research. PMID:25578512
The Spiritual and Social Attitudes of Students towards Integrated Problem Based Learning Models
ERIC Educational Resources Information Center
Bachtiar, Suhaedir; Zubaidah, Siti; Corebima, Aloysius Duran; Indriwati, Sri Endah
2018-01-01
This research aimed to investigate the spiritual and social attitudes of students with different academic abilities towards four educational models: problem based learning (PBL); numbered heads together (NHT); integrated PBL and NHT; and multi-strategies model. This quasi-experimental investigation employed a pretest-posttest non-equivalent…
Creating Needs-Based Tiered Models for Assisted Living Reimbursement
ERIC Educational Resources Information Center
Howell-White, Sandra; Gaboda, Dorothy; Rosato, Nancy Scotto; Lucas, Judith A.
2006-01-01
Purpose: This research provides state policy makers and others interested in developing needs-based reimbursement models for Medicaid-funded assisted living with an evaluation of different methodologies that affect the structure and outcomes of these models. Design and Methods: We used assessment data from Medicaid-enrolled assisted living…
Predicting Plywood Properties with Wood-based Composite Models
Christopher Adam Senalik; Robert J. Ross
2015-01-01
Previous research revealed that stress wave nondestructive testing techniques could be used to evaluate the tensile and flexural properties of wood-based composite materials. Regression models were developed that related stress wave transmission characteristics (velocity and attenuation) to modulus of elasticity and strength. The developed regression models accounted...
NASA Astrophysics Data System (ADS)
Shirley, Rachel Elizabeth
Nuclear power plant (NPP) simulators are proliferating in academic research institutions and national laboratories in response to the availability of affordable, digital simulator platforms. Accompanying the new research facilities is a renewed interest in using data collected in NPP simulators for Human Reliability Analysis (HRA) research. An experiment conducted in The Ohio State University (OSU) NPP Simulator Facility develops data collection methods and analytical tools to improve use of simulator data in HRA. In the pilot experiment, student operators respond to design basis accidents in the OSU NPP Simulator Facility. Thirty-three undergraduate and graduate engineering students participated in the research. Following each accident scenario, student operators completed a survey about perceived simulator biases and watched a video of the scenario. During the video, they periodically recorded their perceived strength of significant Performance Shaping Factors (PSFs) such as Stress. This dissertation reviews three aspects of simulator-based research using the data collected in the OSU NPP Simulator Facility: First, a qualitative comparison of student operator performance to computer simulations of expected operator performance generated by the Information Decision Action Crew (IDAC) HRA method. Areas of comparison include procedure steps, timing of operator actions, and PSFs. Second, development of a quantitative model of the simulator bias introduced by the simulator environment. Two types of bias are defined: Environmental Bias and Motivational Bias. This research examines Motivational Bias--that is, the effect of the simulator environment on an operator's motivations, goals, and priorities. A bias causal map is introduced to model motivational bias interactions in the OSU experiment. Data collected in the OSU NPP Simulator Facility are analyzed using Structural Equation Modeling (SEM). Data include crew characteristics, operator surveys, and time to recognize and diagnose the accident in the scenario. These models estimate how the effects of the scenario conditions are mediated by simulator bias, and demonstrate how to quantify the strength of the simulator bias. Third, development of a quantitative model of subjective PSFs based on objective data (plant parameters, alarms, etc.) and PSF values reported by student operators. The objective PSF model is based on the PSF network in the IDAC HRA method. The final model is a mixed effects Bayesian hierarchical linear regression model. The subjective PSF model includes three factors: The Environmental PSF, the simulator Bias, and the Context. The Environmental Bias is mediated by an operator sensitivity coefficient that captures the variation in operator reactions to plant conditions. The data collected in the pilot experiments are not expected to reflect professional NPP operator performance, because the students are still novice operators. However, the models used in this research and the methods developed to analyze them demonstrate how to consider simulator bias in experiment design and how to use simulator data to enhance the technical basis of a complex HRA method. The contributions of the research include a framework for discussing simulator bias, a quantitative method for estimating simulator bias, a method for obtaining operator-reported PSF values, and a quantitative method for incorporating the variability in operator perception into PSF models. The research demonstrates applications of Structural Equation Modeling and hierarchical Bayesian linear regression models in HRA. Finally, the research demonstrates the benefits of using student operators as a test platform for HRA research.
Pilot interaction with automated airborne decision making systems
NASA Technical Reports Server (NTRS)
Hammer, John M.; Wan, C. Yoon; Vasandani, Vijay
1987-01-01
The current research is focused on detection of human error and protection from its consequences. A program for monitoring pilot error by comparing pilot actions to a script was described. It dealt primarily with routine errors (slips) that occurred during checklist activity. The model to which operator actions were compared was a script. Current research is an extension along these two dimensions. The ORS fault detection aid uses a sophisticated device model rather than a script. The newer initiative, the model-based and constraint-based warning system, uses an even more sophisticated device model and is to prevent all types of error, not just slips or bad decision.
Cycles of Exploration, Reflection, and Consolidation in Model-Based Learning of Genetics
NASA Astrophysics Data System (ADS)
Kim, Beaumie; Pathak, Suneeta A.; Jacobson, Michael J.; Zhang, Baohui; Gobert, Janice D.
2015-12-01
Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, BioLogica™, was used to facilitate genetics learning in secondary 3-level biology in Singapore. The research team co-designed two different pedagogical approaches with teachers, both of which involved learner-centered "exploration and reflection" with BioLogica and teacher-led "telling" or "consolidation." One group went through the stand-alone BioLogica units for all topics prior to a series of teacher-led instructions, whereas the other group was engaged in teacher-led activities after using BioLogica for each topic. Based on the results of a series of tests on genetics, the groups performed differently from what the teacher had expected. We explore how the design of the two approaches and interactions among students might have contributed to the results.
Closson, K; McNeil, R; McDougall, P; Fernando, S; Collins, A B; Baltzer Turje, R; Howard, T; Parashar, S
2016-10-07
Community-based HIV, harm reduction, and addiction research increasingly involve members of affected communities as Peer Research Associates (PRAs)-individuals with common experiences to the participant population (e.g. people who use drugs, people living with HIV [PLHIV]). However, there is a paucity of literature detailing the operationalization of PRA hiring and thus limited understanding regarding how affected communities can be meaningfully involved through low-barrier engagement in paid positions within community-based participatory research (CBPR) projects. We aim to address this gap by describing a low-threshold PRA hiring process. In 2012, the BC Centre for Excellence in HIV/AIDS and the Dr. Peter AIDS Foundation collaborated to develop a mixed-method CBPR project evaluating the effectiveness of the Dr. Peter Centre (DPC)-an integrative HIV care facility in Vancouver, Canada. A primary objective of the study was to assess the impact of DPC services among clients who have a history of illicit drug use. In keeping with CBPR principles, affected populations, community-based organizations, and key stakeholders guided the development and dissemination of a low-barrier PRA hiring process to meaningfully engage affected communities (e.g. PLHIV who have a history of illicit drug use) in all aspects of the research project. The hiring model was implemented in a number of stages, including (1) the establishment of a hiring team; (2) the development and dissemination of the job posting; (3) interviewing applicants; and (4) the selection of participants. The hiring model presented in this paper demonstrates the benefits of hiring vulnerable PLHIV who use drugs as PRAs in community-based research. The provision of low-barrier access to meaningful research employment described herein attempts to engage affected communities beyond tokenistic involvement in research. Our hiring model was successful at engaging five PRAs over a 2-year period and fostered opportunities for future paid employment or volunteer opportunities through ongoing collaboration between PRAs and a diverse range of stakeholders working in HIV/AIDS and addictions. Additionally, this model has the potential to be used across a range of studies and community-based settings interested in meaningfully engaging communities in all stages of the research process.
Emotional Intelligence: What the Research Says.
ERIC Educational Resources Information Center
Cobb, Casey D.; Mayer, John D.
2000-01-01
Educational practices involving emotional intelligence should be based on solid research, not sensationalistic claims. There are two emotional-intelligence models based on ability and an ability/social-competence mixture. Emphasizing cooperative behavior could stifle creativity, healthy skepticism, or spontaneity. Teaching emotional reasoning pays…
A smoothed residual based goodness-of-fit statistic for nest-survival models
Rodney X. Sturdivant; Jay J. Rotella; Robin E. Russell
2008-01-01
Estimating nest success and identifying important factors related to nest-survival rates is an essential goal for many wildlife researchers interested in understanding avian population dynamics. Advances in statistical methods have led to a number of estimation methods and approaches to modeling this problem. Recently developed models allow researchers to include a...
InSTREAM: the individual-based stream trout research and environmental assessment model
Steven F. Railsback; Bret C. Harvey; Stephen K. Jackson; Roland H. Lamberson
2009-01-01
This report documents Version 4.2 of InSTREAM, including its formulation, software, and application to research and management problems. InSTREAM is a simulation model designed to understand how stream and river salmonid populations respond to habitat alteration, including altered flow, temperature, and turbidity regimes and changes in channel morphology. The model...
Redman, Romany M; Reinsvold, Magdalena C; Reddy, Anireddy; Bennett, Paige E; Hoerauf, Janine M; Puls, Kristina M; Ovrutsky, Alida R; Ly, Alexandra R; White, Gregory; McNeil, Owetta; Meredith, Janet J
2017-06-01
Community-based participatory research [CBPR] is an emerging approach to collaborative research aimed at creating locally effective and sustainable interventions. The 2040 Partners for Health student program was developed as a unique model of longitudinal CBPR. Analysis of this program and its components illuminates both the challenges and the opportunities inherent in community engagement. The program rests on a foundation of a community-based, non-profit organization and a supportive academic university centre. Inter-professional health students and community members of underserved populations work together on different health projects by employing an adapted CBPR methodology. Three successful examples of sustainable CBPR projects are briefly described. The three projects are presented as primary outcomes resulting from this model. Benefits and challenges of the model as an approach to community-engaged research are discussed as well as secondary benefits of student participation. The 2040 Partners for Health student program represents a successful model of CBPR, illuminating common challenges and reiterating the profound value of community-engaged research. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
ERIC Educational Resources Information Center
Setty, Sumana; Kosinski-Collins, Melissa S.
2015-01-01
It has been noted that undergraduate project-based laboratories lead to increased interest in scientific research and student understanding of biological concepts. We created a novel, inquiry-based, multiweek genetics research project studying Ptpmeg, for the Introductory Biology Laboratory course at Brandeis University. Ptpmeg is a protein…
ERIC Educational Resources Information Center
Mills, Steven C.; Ragan, Tillman J.
This paper examines a research paradigm that is particularly suited to experimentation-related computer-based instruction and integrated learning systems. The main assumption of the model is that one of the most powerful capabilities of computer-based instruction, and specifically of integrated learning systems, is the capacity to adapt…
Mechanisms of Power within a Community-Based Food Security Planning Process
ERIC Educational Resources Information Center
McCullum, Christine; Pelletier, David; Barr, Donald; Wilkins, Jennifer; Habicht, Jean-Pierre
2004-01-01
A community food security movement has begun to address problems of hunger and food insecurity by utilizing a community-based approach. Although various models have been implemented, little empirical research has assessed how power operates within community-based food security initiatives. The purpose of this research was to determine how power…
Testing a Dual Process Model of Gender-Based Violence: A Laboratory Examination.
Berke, Danielle S; Zeichner, Amos
2016-01-01
The dire impact of gender-based violence on society compels development of models comprehensive enough to capture the diversity of its forms. Research has established hostile sexism (HS) as a robust predictor of gender-based violence. However, to date, research has yet to link men's benevolent sexism (BS) to physical aggression toward women, despite correlations between BS and HS and between BS and victim blaming. One model, the opposing process model of benevolent sexism (Sibley & Perry, 2010), suggests that, for men, BS acts indirectly through HS to predict acceptance of hierarchy-enhancing social policy as an expression of a preference for in-group dominance (i. e., social dominance orientation [SDO]). The extent to which this model applies to gender-based violence remains untested. Therefore, in this study, 168 undergraduate men in a U. S. university participated in a competitive reaction time task, during which they had the option to shock an ostensible female opponent as a measure of gender-based violence. Results of multiple-mediation path analyses indicated dual pathways potentiating gender-based violence and highlight SDO as a particularly potent mechanism of this violence. Findings are discussed in terms of group dynamics and norm-based violence prevention.
McCalman, Janya; Tsey, Komla; Bainbridge, Roxanne; Shakeshaft, Anthony; Singleton, Michele; Doran, Christopher
2013-08-07
While Aboriginal Australian health providers prioritise identification of local community health needs and strategies, they do not always have the opportunity to access or interpret evidence-based literature to inform health improvement innovations. Research partnerships are therefore important when designing or modifying Aboriginal Australian health improvement initiatives and their evaluation. However, there are few models that outline the pragmatic steps by which research partners negotiate to develop, implement and evaluate community-based initiatives. The objective of this paper is to provide a theoretical model of the tailoring of health improvement initiatives by Aboriginal community-based service providers and partner university researchers. It draws from the case of the Beat da Binge community-initiated youth binge drinking harm reduction project in Yarrabah. A theoretical model was developed using the constructivist grounded theory methods of concurrent sampling, data collection and analysis. Data was obtained from the recordings of reflective Community-Based Participatory Research (CBPR) processes with Aboriginal community partners and young people, and university researchers. CBPR data was supplemented with interviews with theoretically sampled project participants. The transcripts of CBPR recordings and interviews were imported into NVIVO and coded to identify categories and theoretical constructs. The identified categories were then developed into higher order concepts and the relationships between concepts identified until the central purpose of those involved in the project and the core process that facilitated that purpose were identified. The tailored alcohol harm reduction project resulted in clarification of the underlying local determinants of binge drinking, and a shift in the project design from a social marketing awareness campaign (based on short-term events) to a more robust advocacy for youth mentoring into education, employment and training. The community-based process undertaken by the research partnership to tailor the design, implementation and evaluation of the project was theorised as a model incorporating four overlapping stages of negotiating knowledges and meanings to tailor a community response. The theoretical model can be applied in spaces where local Aboriginal and scientific knowledges meet to support the tailored design, implementation and evaluation of other health improvement projects, particularly those that originate from Aboriginal communities themselves.
Testing and Implementation of Advanced Reynolds Stress Models
NASA Technical Reports Server (NTRS)
Speziale, Charles G.
1997-01-01
A research program was proposed for the testing and implementation of advanced turbulence models for non-equilibrium turbulent flows of aerodynamic importance that are of interest to NASA. Turbulence models that are being developed in connection with the Office of Naval Research ARI in Non-equilibrium are provided for implementation and testing in aerodynamic flows at NASA Langley Research Center. Close interactions were established with researchers at Nasa Langley RC and refinements to the models were made based on the results of these tests. The models that have been considered include two-equation models with an anisotropic eddy viscosity as well as full second-order closures. Three types of non-equilibrium corrections to the models have been considered in connection with the ARI on Nonequilibrium Turbulence: conducted for ONR.
Brandt, Heather M; Freedman, Darcy A; Friedman, Daniela B; Choi, Seul Ki; Seel, Jessica S; Guest, M Aaron; Khang, Leepao
2016-01-01
Documentary filmmaking approaches incorporating community engagement and awareness raising strategies may be a promising approach to evaluate community-based participatory research. The study purpose was 2-fold: (1) to evaluate a documentary film featuring the formation and implementation of a farmers' market and (2) to assess whether the film affected awareness regarding food access issues in a food-desert community with high rates of obesity. The coalition model of filmmaking, a model consistent with a community-based participatory research (CBPR) approach, and personal stories, community profiles, and expert interviews were used to develop a documentary film (Planting Healthy Roots). The evaluation demonstrated high levels of approval and satisfaction with the film and CBPR essence of the film. The documentary film aligned with a CBPR approach to document, evaluate, and disseminate research processes and outcomes.
ERIC Educational Resources Information Center
Wiley, Emily A.; Stover, Nicholas A.
2014-01-01
Use of inquiry-based research modules in the classroom has soared over recent years, largely in response to national calls for teaching that provides experience with scientific processes and methodologies. To increase the visibility of in-class studies among interested researchers and to strengthen their impact on student learning, we have…
ERIC Educational Resources Information Center
Frazee-Brookman, Lauren; Stahmer, Aubyn; Stadnick, Nicole; Chlebowski, Colby; Herschel, Amy; Garland, Ann F.
2015-01-01
This study characterized the use of research community partnerships (RCPs) to tailor evidence-based intervention, training, and implementation models for delivery across different childhood problems and service contexts using a survey completed by project principal investigators and community partners. To build on previous RCP research and to…
DOT National Transportation Integrated Search
2009-10-01
This report documents the results of a study that was conducted to characterize the behavior of geogrid reinforced base : course materials. The research was conducted through an experimental testing and numerical modeling programs. The : experimental...
Dynamic Strategic Planning in a Professional Knowledge-Based Organization
ERIC Educational Resources Information Center
Olivarius, Niels de Fine; Kousgaard, Marius Brostrom; Reventlow, Susanne; Quelle, Dan Grevelund; Tulinius, Charlotte
2010-01-01
Professional, knowledge-based institutions have a particular form of organization and culture that makes special demands on the strategic planning supervised by research administrators and managers. A model for dynamic strategic planning based on a pragmatic utilization of the multitude of strategy models was used in a small university-affiliated…
FlyBase portals to human disease research using Drosophila models
Millburn, Gillian H.; Crosby, Madeline A.; Gramates, L. Sian; Tweedie, Susan
2016-01-01
ABSTRACT The use of Drosophila melanogaster as a model for studying human disease is well established, reflected by the steady increase in both the number and proportion of fly papers describing human disease models in recent years. In this article, we highlight recent efforts to improve the availability and accessibility of the disease model information in FlyBase (http://flybase.org), the model organism database for Drosophila. FlyBase has recently introduced Human Disease Model Reports, each of which presents background information on a specific disease, a tabulation of related disease subtypes, and summaries of experimental data and results using fruit flies. Integrated presentations of relevant data and reagents described in other sections of FlyBase are incorporated into these reports, which are specifically designed to be accessible to non-fly researchers in order to promote collaboration across model organism communities working in translational science. Another key component of disease model information in FlyBase is that data are collected in a consistent format – using the evolving Disease Ontology (an open-source standardized ontology for human-disease-associated biomedical data) – to allow robust and intuitive searches. To facilitate this, FlyBase has developed a dedicated tool for querying and navigating relevant data, which include mutations that model a disease and any associated interacting modifiers. In this article, we describe how data related to fly models of human disease are presented in individual Gene Reports and in the Human Disease Model Reports. Finally, we discuss search strategies and new query tools that are available to access the disease model data in FlyBase. PMID:26935103
Ceasar, Joniqua; Peters-Lawrence, Marlene H.; Mitchell, Valerie; Powell-Wiley, Tiffany M.
2017-01-01
Little is known about recruitment methods for racial/ethnic minority populations from resource-limited areas for community-based health and needs assessments, particularly assessments that incorporate mobile health (mHealth) technology for characterizing physical activity and dietary intake. We examined whether the Communication, Awareness, Relationships and Empowerment (C.A.R.E.) model could reduce challenges recruiting and retaining participants from faith-based organizations in predominantly African American Washington, D.C. communities for a community-based assessment. Employing C.A.R.E. model elements, our diverse research team developed partnerships with churches, health organizations, academic institutions and governmental agencies. Through these partnerships, we cultivated a visible presence at community events, provided cardiovascular health education and remained accessible throughout the research process. Additionally, these relationships led to the creation of a community advisory board (CAB), which influenced the study’s design, implementation, and dissemination. Over thirteen months, 159 individuals were recruited for the study, 99 completed the initial assessment, and 81 used mHealth technology to self-monitor physical activity over 30 days. The culturally and historically sensitive C.A.R.E. model strategically engaged CAB members and study participants. It was essential for success in recruitment and retention of an at-risk, African American population and may be an effective model for researchers hoping to engage racial/ethnic minority populations living in urban communities. PMID:29160826
A Research Roadmap for Computation-Based Human Reliability Analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Boring, Ronald; Mandelli, Diego; Joe, Jeffrey
2015-08-01
The United States (U.S.) Department of Energy (DOE) is sponsoring research through the Light Water Reactor Sustainability (LWRS) program to extend the life of the currently operating fleet of commercial nuclear power plants. The Risk Informed Safety Margin Characterization (RISMC) research pathway within LWRS looks at ways to maintain and improve the safety margins of these plants. The RISMC pathway includes significant developments in the area of thermalhydraulics code modeling and the development of tools to facilitate dynamic probabilistic risk assessment (PRA). PRA is primarily concerned with the risk of hardware systems at the plant; yet, hardware reliability is oftenmore » secondary in overall risk significance to human errors that can trigger or compound undesirable events at the plant. This report highlights ongoing efforts to develop a computation-based approach to human reliability analysis (HRA). This computation-based approach differs from existing static and dynamic HRA approaches in that it: (i) interfaces with a dynamic computation engine that includes a full scope plant model, and (ii) interfaces with a PRA software toolset. The computation-based HRA approach presented in this report is called the Human Unimodels for Nuclear Technology to Enhance Reliability (HUNTER) and incorporates in a hybrid fashion elements of existing HRA methods to interface with new computational tools developed under the RISMC pathway. The goal of this research effort is to model human performance more accurately than existing approaches, thereby minimizing modeling uncertainty found in current plant risk models.« less
Analytical modeling and experimental validation of a magnetorheological mount
NASA Astrophysics Data System (ADS)
Nguyen, The; Ciocanel, Constantin; Elahinia, Mohammad
2009-03-01
Magnetorheological (MR) fluid has been increasingly researched and applied in vibration isolation devices. To date, the suspension system of several high performance vehicles has been equipped with MR fluid based dampers and research is ongoing to develop MR fluid based mounts for engine and powertrain isolation. MR fluid based devices have received attention due to the MR fluid's capability to change its properties in the presence of a magnetic field. This characteristic places MR mounts in the class of semiactive isolators making them a desirable substitution for the passive hydraulic mounts. In this research, an analytical model of a mixed-mode MR mount was constructed. The magnetorheological mount employs flow (valve) mode and squeeze mode. Each mode is powered by an independent electromagnet, so one mode does not affect the operation of the other. The analytical model was used to predict the performance of the MR mount with different sets of parameters. Furthermore, in order to produce the actual prototype, the analytical model was used to identify the optimal geometry of the mount. The experimental phase of this research was carried by fabricating and testing the actual MR mount. The manufactured mount was tested to evaluate the effectiveness of each mode individually and in combination. The experimental results were also used to validate the ability of the analytical model in predicting the response of the MR mount. Based on the observed response of the mount a suitable controller can be designed for it. However, the control scheme is not addressed in this study.
Scaffolding in geometry based on self regulated learning
NASA Astrophysics Data System (ADS)
Bayuningsih, A. S.; Usodo, B.; Subanti, S.
2017-12-01
This research aim to know the influence of problem based learning model by scaffolding technique on junior high school student’s learning achievement. This research took location on the junior high school in Banyumas. The research data obtained through mathematic learning achievement test and self-regulated learning (SRL) questioner. Then, the data analysis used two ways ANOVA. The results showed that scaffolding has positive effect to the mathematic learning achievement. The mathematic learning achievement use PBL-Scaffolding model is better than use PBL. The high SRL category student has better mathematic learning achievement than middle and low SRL categories, and then the middle SRL category has better than low SRL category. So, there are interactions between learning model with self-regulated learning in increasing mathematic learning achievement.
Computer assisted analysis of research-based teaching method in English newspaper reading teaching
NASA Astrophysics Data System (ADS)
Jie, Zheng
2017-06-01
In recent years, the teaching of English newspaper reading has been developing rapidly. However, the teaching effect of the existing course is not ideal. The paper tries to apply the research-based teaching model to English newspaper reading teaching, investigates the current situation in higher vocational colleges, and analyzes the problems. It designs a teaching model of English newspaper reading and carries out the empirical research conducted by computers. The results show that the teaching mode can use knowledge and ability to stimulate learners interest and comprehensively improve their ability to read newspapers.
Involving mental health service users in suicide-related research: a qualitative inquiry model.
Lees, David; Procter, Nicholas; Fassett, Denise; Handley, Christine
2016-03-01
To describe the research model developed and successfully deployed as part of a multi-method qualitative study investigating suicidal service-users' experiences of mental health nursing care. Quality mental health care is essential to limiting the occurrence and burden of suicide, however there is a lack of relevant research informing practice in this context. Research utilising first-person accounts of suicidality is of particular importance to expanding the existing evidence base. However, conducting ethical research to support this imperative is challenging. The model discussed here illustrates specific and more generally applicable principles for qualitative research regarding sensitive topics and involving potentially vulnerable service-users. Researching into mental health service users with first-person experience of suicidality requires stakeholder and institutional support, researcher competency, and participant recruitment, consent, confidentiality, support and protection. Research with service users into their experiences of sensitive issues such as suicidality can result in rich and valuable data, and may also provide positive experiences of collaboration and inclusivity. If challenges are not met, objectification and marginalisation of service-users may be reinforced, and limitations in the evidence base and service provision may be perpetuated.
NASA Astrophysics Data System (ADS)
Karyadi, B.; Susanta, A.; Winari, E. W.; Ekaputri, R. Z.; Enersi, D.
2018-05-01
Research on development of a learning model for Natural Science base on conservation area in Bengkulu University has been conducted. The research methods were referred to the standard steps of Research and Development. Stage activities were (a) analysis of needs, (b) observation of the ecological aspects of conservation area as a learning resource, and (c) instructional design based on conservation area for secondary school students. The observation results on the ecological aspects revealed that the diversity of plants and animals, at the conservation area were sufficient as a source for learning. The instructional design was prepared in three phase activities namely Introduction-Exploration-Interpretation (IEI), and then it was compiled in a teaching material Based on Surrounding Natural Environment” (BSNE). The results of a limited scale trial at secondary school students in two districts of Bengkulu province showed that, the students who learned using the IEI model at the conservation area have a good performance and critical thinking. The product from the research is a book named BSNE that can be used for teachers and conservation practitioners in doing the learning activities on environmental conservation which involved public participation.
Hulme, Adam; Thompson, Jason; Nielsen, Rasmus Oestergaard; Read, Gemma J M; Salmon, Paul M
2018-06-18
There have been recent calls for the application of the complex systems approach in sports injury research. However, beyond theoretical description and static models of complexity, little progress has been made towards formalising this approach in way that is practical to sports injury scientists and clinicians. Therefore, our objective was to use a computational modelling method and develop a dynamic simulation in sports injury research. Agent-based modelling (ABM) was used to model the occurrence of sports injury in a synthetic athlete population. The ABM was developed based on sports injury causal frameworks and was applied in the context of distance running-related injury (RRI). Using the acute:chronic workload ratio (ACWR), we simulated the dynamic relationship between changes in weekly running distance and RRI through the manipulation of various 'athlete management tools'. The findings confirmed that building weekly running distances over time, even within the reported ACWR 'sweet spot', will eventually result in RRI as athletes reach and surpass their individual physical workload limits. Introducing training-related error into the simulation and the modelling of a 'hard ceiling' dynamic resulted in a higher RRI incidence proportion across the population at higher absolute workloads. The presented simulation offers a practical starting point to further apply more sophisticated computational models that can account for the complex nature of sports injury aetiology. Alongside traditional forms of scientific inquiry, the use of ABM and other simulation-based techniques could be considered as a complementary and alternative methodological approach in sports injury research. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
The undergraduate research fellows program: a unique model to promote engagement in research.
Vessey, Judith A; DeMarco, Rosanna F
2008-01-01
Well-educated nurses with research expertise are needed to advance evidence-based nursing practice. A primary goal of undergraduate nursing curricula is to create meaningful participatory experiences to help students develop a research skill set that articulates with rapid career advancement of gifted, young graduates interested in nursing research and faculty careers. Three research enrichment models-undergraduate honors programs, research assistant work-for-hire programs, and research work/mentorship programs-to be in conjunction with standard research content are reviewed. The development and implementation of one research work/mentorship program, the Boston College undergraduate research fellows program (UGRF), is explicated. This process included surveying previous UGRFs followed by creating a retreat and seminars to address specific research skill sets. The research skill sets included (a) how to develop a research team, (b) accurate data retrieval, (c) ethical considerations, (d) the research process, (e) data management, (f) successful writing of abstracts, and (g) creating effective poster presentations. Outcomes include evidence of involvement in research productivity and valuing of evidenced-based practice through the UGRF mentorship process with faculty partners.
1993-01-01
animals in toxicology research, the application of pharmacokinetics and physiologically based pharmacokinetic mdels in chemical risk assessment, selected...metaplasia Neurotoxicity Nonmutagenic carcinogens Ozone P450 PBPK modeling Perfluorohexane Peroxisome proliferators Pharmacokinetics Pharmacokinetic models...Physiological modeling Physiologically based pharmacokinetic modeling Polycyclic organic matter Quantitative risk assessment RAIRM model Rats
ERIC Educational Resources Information Center
Chenail, Ronald J.
2004-01-01
It is suggested that educators look to an environment in which qualitative research can be learned in more flexible and creative ways--an online learning community known as the Research Park Online (RPO). This model, based upon Walt Disney's 1966 plan for his "Experimental Prototype Community of Tomorrow" (EPCOT) and university cooperative…
Research-Based Program Development: Refining the Service Model for a Geographic Alliance
ERIC Educational Resources Information Center
Rutherford, David J.; Lovorn, Carley
2018-01-01
Research conducted in 2013 identified the perceptions that K-12 teachers and administrators hold with respect to: (1) the perceived needs in education, (2) the professional audiences that are most important to reach, and (3) the service models that are most effective. The specific purpose of the research was to refine and improve the services that…
Overcoming limitations of model-based diagnostic reasoning systems
NASA Technical Reports Server (NTRS)
Holtzblatt, Lester J.; Marcotte, Richard A.; Piazza, Richard L.
1989-01-01
The development of a model-based diagnostic system to overcome the limitations of model-based reasoning systems is discussed. It is noted that model-based reasoning techniques can be used to analyze the failure behavior and diagnosability of system and circuit designs as part of the system process itself. One goal of current research is the development of a diagnostic algorithm which can reason efficiently about large numbers of diagnostic suspects and can handle both combinational and sequential circuits. A second goal is to address the model-creation problem by developing an approach for using design models to construct the GMODS model in an automated fashion.
Integrated Research in Grade 12.
ERIC Educational Resources Information Center
Milosevich, Mike
1995-01-01
Describes a new approach to research projects based on an interdisciplinary global education model. Students integrate their learning from several courses in a unified research essay. Discusses the benefits of this approach and summarizes the research project for an environmental theme. (LZ)
NASA Astrophysics Data System (ADS)
Jefriadi, J.; Ahda, Y.; Sumarmin, R.
2018-04-01
Based on preliminary research of students worksheet used by teachers has several disadvantages such as students worksheet arranged directly drove learners conduct an investigation without preceded by directing learners to a problem or provide stimulation, student's worksheet not provide a concrete imageand presentation activities on the students worksheet not refer to any one learning models curicullum recommended. To address problems Reviews these students then developed a worksheet based on problem-based learning. This is a research development that using Ploom models. The phases are preliminary research, development and assessment. The instruments used in data collection that includes pieces of observation/interviews, instrument self-evaluation, instruments validity. The results of the validation expert on student worksheets get a valid result the average value 80,1%. Validity of students worksheet based problem-based learning for 9th grade junior high school in living organism inheritance and food biotechnology get valid category.
Strategic directions for agent-based modeling: avoiding the YAAWN syndrome.
O'Sullivan, David; Evans, Tom; Manson, Steven; Metcalf, Sara; Ligmann-Zielinska, Arika; Bone, Chris
In this short communication, we examine how agent-based modeling has become common in land change science and is increasingly used to develop case studies for particular times and places. There is a danger that the research community is missing a prime opportunity to learn broader lessons from the use of agent-based modeling (ABM), or at the very least not sharing these lessons more widely. How do we find an appropriate balance between empirically rich, realistic models and simpler theoretically grounded models? What are appropriate and effective approaches to model evaluation in light of uncertainties not only in model parameters but also in model structure? How can we best explore hybrid model structures that enable us to better understand the dynamics of the systems under study, recognizing that no single approach is best suited to this task? Under what circumstances - in terms of model complexity, model evaluation, and model structure - can ABMs be used most effectively to lead to new insight for stakeholders? We explore these questions in the hope of helping the growing community of land change scientists using models in their research to move from 'yet another model' to doing better science with models.
Evaluation to Redesign a Prototype Officer Data Base for Interdisciplinary Research
1992-01-01
accommodate cohort longitudinal research and econometric model testing . Recommendations regarding the adoption of the LOADB were presented. Utilization...commission data sets (Younkman, 1987), and the AIMS data set ( Ramsey & Younkman, 1989). An analysis of selected standardized tests for ROTC screening was...ARI Research Note 92-16 Evaluation to Redesign a Prototype il Officer Data Base for Interdisciplinary Research Dianne D. Younkman and Lori G. Ramsey
A state-wide partnership to promote safe and supportive schools: the PBIS Maryland Initiative.
Bradshaw, Catherine P; Pas, Elise T; Bloom, Jerry; Barrett, Susan; Hershfeldt, Patricia; Alexander, Andrea; McKenna, Milton; Chafin, Ann E; Leaf, Philip J
2012-07-01
Schools continue to be an important context for preventive interventions targeting a range of behavioral and mental health problems. Yet competing demands on teachers and shifting priorities in response to federal legislation have posed some unique challenges to prevention researchers working in school settings. This paper summarizes an approach to prevention partnerships developed over a decade and centered on the three-tiered Positive Behavioral Interventions and Supports (PBIS) model. A state-wide initiative was formed and led through a partnership between the Maryland State Department of Education, Sheppard Pratt Health System, and Johns Hopkins University, which focused on implementing evidence-based practices and conducting prevention research in Maryland public schools. Drawing on a community-based participatory research framework for developing research partnerships, we highlight the importance of forming and sustaining authentic relationships to support school-based prevention research and implementation of evidence-based programs. We also discuss how these relationships have been used to disseminate PBIS and rigorously test its effectiveness. We describe some lessons learned from the partnership and identify potential areas for future research on the prevention partnership model. We conclude with a discussion of the implications for both researchers and community partners engaged in translational research in school settings.
Using FlyBase, a Database of Drosophila Genes and Genomes.
Marygold, Steven J; Crosby, Madeline A; Goodman, Joshua L
2016-01-01
For nearly 25 years, FlyBase (flybase.org) has provided a freely available online database of biological information about Drosophila species, focusing on the model organism D. melanogaster. The need for a centralized, integrated view of Drosophila research has never been greater as advances in genomic, proteomic, and high-throughput technologies add to the quantity and diversity of available data and resources.FlyBase has taken several approaches to respond to these changes in the research landscape. Novel report pages have been generated for new reagent types and physical interaction data; Drosophila models of human disease are now represented and showcased in dedicated Human Disease Model Reports; other integrated reports have been established that bring together related genes, datasets, or reagents; Gene Reports have been revised to improve access to new data types and to highlight functional data; links to external sites have been organized and expanded; and new tools have been developed to display and interrogate all these data, including improved batch processing and bulk file availability. In addition, several new community initiatives have served to enhance interactions between researchers and FlyBase, resulting in direct user contributions and improved feedback.This chapter provides an overview of the data content, organization, and available tools within FlyBase, focusing on recent improvements. We hope it serves as a guide for our diverse user base, enabling efficient and effective exploration of the database and thereby accelerating research discoveries.
George, Stephanie M; Domire, Zachary J
2017-07-01
As the reliance on computational models to inform experiments and evaluate medical devices grows, the demand for students with modeling experience will grow. In this paper, we report on the 3-yr experience of a National Science Foundation (NSF) funded Research Experiences for Undergraduates (REU) based on the theme simulations, imaging, and modeling in biomechanics. While directly applicable to REU sites, our findings also apply to those creating other types of summer undergraduate research programs. The objective of the paper is to examine if a theme of simulations, imaging, and modeling will improve students' understanding of the important topic of modeling, provide an overall positive research experience, and provide an interdisciplinary experience. The structure of the program and the evaluation plan are described. We report on the results from 25 students over three summers from 2014 to 2016. Overall, students reported significant gains in the knowledge of modeling, research process, and graduate school based on self-reported mastery levels and open-ended qualitative responses. This theme provides students with a skill set that is adaptable to other applications illustrating the interdisciplinary nature of modeling in biomechanics. Another advantage is that students may also be able to continue working on their project following the summer experience through network connections. In conclusion, we have described the successful implementation of the theme simulation, imaging, and modeling for an REU site and the overall positive response of the student participants.
ERIC Educational Resources Information Center
King, Kathleen P., Ed.
2009-01-01
This handbook is a much expanded version of the original Learning Activities Survey published by Dr. Kathleen P. King of Fordham University in 1998. Based on her ground breaking research in this field where she used a mixed methodology research approach to study transformative learning, the book will provide a model of research, firsthand…
Escobar-Rodríguez, Tomás; Romero-Alonso, María Mercedes
2013-05-01
This article analyzes the attitude of nurses toward the use of automated unit-based medication storage and distribution systems and identifies influencing factors. Understanding these factors provides an opportunity to explore actions that might be taken to boost adoption by potential users. The theoretical grounding for this research is the Technology Acceptance Model. The Technology Acceptance Model specifies the causal relationships between perceived usefulness, perceived ease of use, attitude toward using, and actual usage behavior. The research model has six constructs, and nine hypotheses were generated from connections between these six constructs. These constructs include perceived risks, experience level, and training. The findings indicate that these three external variables are related to the perceived ease of use and perceived usefulness of automated unit-based medication storage and distribution systems, and therefore, they have a significant influence on attitude toward the use of these systems.
Research on Turbofan Engine Model above Idle State Based on NARX Modeling Approach
NASA Astrophysics Data System (ADS)
Yu, Bing; Shu, Wenjun
2017-03-01
The nonlinear model for turbofan engine above idle state based on NARX is studied. Above all, the data sets for the JT9D engine from existing model are obtained via simulation. Then, a nonlinear modeling scheme based on NARX is proposed and several models with different parameters are built according to the former data sets. Finally, the simulations have been taken to verify the precise and dynamic performance the models, the results show that the NARX model can well reflect the dynamics characteristic of the turbofan engine with high accuracy.
2014-04-01
WRF ) model is a numerical weather prediction system designed for operational forecasting and atmospheric research. This report examined WRF model... WRF , weather research and forecasting, atmospheric effects 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT SAR 18. NUMBER OF...and Forecasting ( WRF ) model. The authors would also like to thank Ms. Sherry Larson, STS Systems Integration, LLC, ARL Technical Publishing Branch
Research on complex 3D tree modeling based on L-system
NASA Astrophysics Data System (ADS)
Gang, Chen; Bin, Chen; Yuming, Liu; Hui, Li
2018-03-01
L-system as a fractal iterative system could simulate complex geometric patterns. Based on the field observation data of trees and knowledge of forestry experts, this paper extracted modeling constraint rules and obtained an L-system rules set. Using the self-developed L-system modeling software the L-system rule set was parsed to generate complex tree 3d models.The results showed that the geometrical modeling method based on l-system could be used to describe the morphological structure of complex trees and generate 3D tree models.
Mixed-field GCR Simulations for Radiobiological Research using Ground Based Accelerators
NASA Astrophysics Data System (ADS)
Kim, Myung-Hee Y.; Rusek, Adam; Cucinotta, Francis
Space radiation is comprised of a large number of particle types and energies, which have differential ionization power from high energy protons to high charge and energy (HZE) particles and secondary neutrons produced by galactic cosmic rays (GCR). Ground based accelerators such as the NASA Space Radiation Laboratory (NSRL) at Brookhaven National Laboratory (BNL) are used to simulate space radiation for radiobiology research and dosimetry, electronics parts, and shielding testing using mono-energetic beams for single ion species. As a tool to support research on new risk assessment models, we have developed a stochastic model of heavy ion beams and space radiation effects, the GCR Event-based Risk Model computer code (GERMcode). For radiobiological research on mixed-field space radiation, a new GCR simulator at NSRL is proposed. The NSRL-GCR simulator, which implements the rapid switching mode and the higher energy beam extraction to 1.5 GeV/u, can integrate multiple ions into a single simulation to create GCR Z-spectrum in major energy bins. After considering the GCR environment and energy limitations of NSRL, a GCR reference field is proposed after extensive simulation studies using the GERMcode. The GCR reference field is shown to reproduce the Z and LET spectra of GCR behind shielding within 20 percents accuracy compared to simulated full GCR environments behind shielding. A major challenge for space radiobiology research is to consider chronic GCR exposure of up to 3-years in relation to simulations with cell and animal models of human risks. We discuss possible approaches to map important biological time scales in experimental models using ground-based simulation with extended exposure of up to a few weeks and fractionation approaches at a GCR simulator.
Mixed-field GCR Simulations for Radiobiological Research Using Ground Based Accelerators
NASA Technical Reports Server (NTRS)
Kim, Myung-Hee Y.; Rusek, Adam; Cucinotta, Francis A.
2014-01-01
Space radiation is comprised of a large number of particle types and energies, which have differential ionization power from high energy protons to high charge and energy (HZE) particles and secondary neutrons produced by galactic cosmic rays (GCR). Ground based accelerators such as the NASA Space Radiation Laboratory (NSRL) at Brookhaven National Laboratory (BNL) are used to simulate space radiation for radiobiology research and dosimetry, electronics parts, and shielding testing using mono-energetic beams for single ion species. As a tool to support research on new risk assessment models, we have developed a stochastic model of heavy ion beams and space radiation effects, the GCR Event-based Risk Model computer code (GERMcode). For radiobiological research on mixed-field space radiation, a new GCR simulator at NSRL is proposed. The NSRL-GCR simulator, which implements the rapid switching mode and the higher energy beam extraction to 1.5 GeV/u, can integrate multiple ions into a single simulation to create GCR Z-spectrum in major energy bins. After considering the GCR environment and energy limitations of NSRL, a GCR reference field is proposed after extensive simulation studies using the GERMcode. The GCR reference field is shown to reproduce the Z and LET spectra of GCR behind shielding within 20% accuracy compared to simulated full GCR environments behind shielding. A major challenge for space radiobiology research is to consider chronic GCR exposure of up to 3-years in relation to simulations with cell and animal models of human risks. We discuss possible approaches to map important biological time scales in experimental models using ground-based simulation with extended exposure of up to a few weeks and fractionation approaches at a GCR simulator.
Modeling nutrient in-stream processes at the watershed scale using Nutrient Spiralling metrics
NASA Astrophysics Data System (ADS)
Marcé, R.; Armengol, J.
2009-01-01
One of the fundamental problems of using large-scale biogeochemical models is the uncertainty involved in aggregating the components of fine-scale deterministic models in watershed applications, and in extrapolating the results of field-scale measurements to larger spatial scales. Although spatial or temporal lumping may reduce the problem, information obtained during fine-scale research may not apply to lumped categories. Thus, the use of knowledge gained through fine-scale studies to predict coarse-scale phenomena is not straightforward. In this study, we used the nutrient uptake metrics defined in the Nutrient Spiralling concept to formulate the equations governing total phosphorus in-stream fate in a watershed-scale biogeochemical model. The rationale of this approach relies on the fact that the working unit for the nutrient in-stream processes of most watershed-scale models is the reach, the same unit used in field research based on the Nutrient Spiralling concept. Automatic calibration of the model using data from the study watershed confirmed that the Nutrient Spiralling formulation is a convenient simplification of the biogeochemical transformations involved in total phosphorus in-stream fate. Following calibration, the model was used as a heuristic tool in two ways. First, we compared the Nutrient Spiralling metrics obtained during calibration with results obtained during field-based research in the study watershed. The simulated and measured metrics were similar, suggesting that information collected at the reach scale during research based on the Nutrient Spiralling concept can be directly incorporated into models, without the problems associated with upscaling results from fine-scale studies. Second, we used results from our model to examine some patterns observed in several reports on Nutrient Spiralling metrics measured in impaired streams. Although these two exercises involve circular reasoning and, consequently, cannot validate any hypothesis, this is a powerful example of how models can work as heuristic tools to compare hypotheses and stimulate research in ecology.
Strategic directions for agent-based modeling: avoiding the YAAWN syndrome
O’Sullivan, David; Evans, Tom; Manson, Steven; Metcalf, Sara; Ligmann-Zielinska, Arika; Bone, Chris
2015-01-01
In this short communication, we examine how agent-based modeling has become common in land change science and is increasingly used to develop case studies for particular times and places. There is a danger that the research community is missing a prime opportunity to learn broader lessons from the use of agent-based modeling (ABM), or at the very least not sharing these lessons more widely. How do we find an appropriate balance between empirically rich, realistic models and simpler theoretically grounded models? What are appropriate and effective approaches to model evaluation in light of uncertainties not only in model parameters but also in model structure? How can we best explore hybrid model structures that enable us to better understand the dynamics of the systems under study, recognizing that no single approach is best suited to this task? Under what circumstances – in terms of model complexity, model evaluation, and model structure – can ABMs be used most effectively to lead to new insight for stakeholders? We explore these questions in the hope of helping the growing community of land change scientists using models in their research to move from ‘yet another model’ to doing better science with models. PMID:27158257
Rocket engine diagnostics using qualitative modeling techniques
NASA Technical Reports Server (NTRS)
Binder, Michael; Maul, William; Meyer, Claudia; Sovie, Amy
1992-01-01
Researchers at NASA Lewis Research Center are presently developing qualitative modeling techniques for automated rocket engine diagnostics. A qualitative model of a turbopump interpropellant seal system has been created. The qualitative model describes the effects of seal failures on the system steady-state behavior. This model is able to diagnose the failure of particular seals in the system based on anomalous temperature and pressure values. The anomalous values input to the qualitative model are generated using numerical simulations. Diagnostic test cases include both single and multiple seal failures.
Rocket engine diagnostics using qualitative modeling techniques
NASA Technical Reports Server (NTRS)
Binder, Michael; Maul, William; Meyer, Claudia; Sovie, Amy
1992-01-01
Researchers at NASA Lewis Research Center are presently developing qualitative modeling techniques for automated rocket engine diagnostics. A qualitative model of a turbopump interpropellant seal system was created. The qualitative model describes the effects of seal failures on the system steady state behavior. This model is able to diagnose the failure of particular seals in the system based on anomalous temperature and pressure values. The anomalous values input to the qualitative model are generated using numerical simulations. Diagnostic test cases include both single and multiple seal failures.
Empowering Effective STEM Role Models to Promote STEM Equity in Local Communities
NASA Astrophysics Data System (ADS)
Harte, T.; Taylor, J.
2017-12-01
Empowering Effective STEM Role Models, a three-hour training developed and successfully implemented by NASA Langley Research Center's Science Directorate, is an effort to encourage STEM professionals to serve as role models within their community. The training is designed to help participants reflect on their identity as a role model and provide research-based strategies to effectively engage youth, particularly girls, in STEM (science, technology, engineering, and mathematics). Research shows that even though girls and boys do not demonstrate a significant difference in their ability to be successful in mathematics and science, there is a significant difference in their confidence level when participating in STEM subject matter and pursuing STEM careers. The Langley training model prepares professionals to disrupt this pattern and take on the habits and skills of effective role models. The training model is based on other successful models and resources for role modeling in STEM including SciGirls; the National Girls Collaborative; and publications by the American Association of University Women and the National Academies. It includes a significant reflection component, and participants walk through situation-based scenarios to practice a focused suite of research-based strategies. These strategies can be implemented in a variety of situations and adapted to the needs of groups that are underrepresented in STEM fields. Underpinning the training and the discussions is the fostering of a growth mindset and promoting perseverance. "The Power of Yet" becomes a means whereby role models encourage students to believe in themselves, working toward reaching their goals and dreams in the area of STEM. To provide additional support, NASA Langley role model trainers are available to work with a champion at other organizations to facilitate the training. This champion helps recruit participants, seeks leadership buy-in, and helps provide valuable insights for needs and interests specific to the organization. After the in-person training experience, participants receive additional follow-up support by working with their local champions and the NASA Langley trainers. The goal is to share the role model training model in an effort to empower STEM role models and assist in promoting STEM Equity in all communities.
Changing R&D models in research-based pharmaceutical companies.
Schuhmacher, Alexander; Gassmann, Oliver; Hinder, Markus
2016-04-27
New drugs serving unmet medical needs are one of the key value drivers of research-based pharmaceutical companies. The efficiency of research and development (R&D), defined as the successful approval and launch of new medicines (output) in the rate of the monetary investments required for R&D (input), has declined since decades. We aimed to identify, analyze and describe the factors that impact the R&D efficiency. Based on publicly available information, we reviewed the R&D models of major research-based pharmaceutical companies and analyzed the key challenges and success factors of a sustainable R&D output. We calculated that the R&D efficiencies of major research-based pharmaceutical companies were in the range of USD 3.2-32.3 billion (2006-2014). As these numbers challenge the model of an innovation-driven pharmaceutical industry, we analyzed the concepts that companies are following to increase their R&D efficiencies: (A) Activities to reduce portfolio and project risk, (B) activities to reduce R&D costs, and (C) activities to increase the innovation potential. While category A comprises measures such as portfolio management and licensing, measures grouped in category B are outsourcing and risk-sharing in late-stage development. Companies made diverse steps to increase their innovation potential and open innovation, exemplified by open source, innovation centers, or crowdsourcing, plays a key role in doing so. In conclusion, research-based pharmaceutical companies need to be aware of the key factors, which impact the rate of innovation, R&D cost and probability of success. Depending on their company strategy and their R&D set-up they can opt for one of the following open innovators: knowledge creator, knowledge integrator or knowledge leverager.
Requirements for data integration platforms in biomedical research networks: a reference model
Knaup, Petra
2015-01-01
Biomedical research networks need to integrate research data among their members and with external partners. To support such data sharing activities, an adequate information technology infrastructure is necessary. To facilitate the establishment of such an infrastructure, we developed a reference model for the requirements. The reference model consists of five reference goals and 15 reference requirements. Using the Unified Modeling Language, the goals and requirements are set into relation to each other. In addition, all goals and requirements are described textually in tables. This reference model can be used by research networks as a basis for a resource efficient acquisition of their project specific requirements. Furthermore, a concrete instance of the reference model is described for a research network on liver cancer. The reference model is transferred into a requirements model of the specific network. Based on this concrete requirements model, a service-oriented information technology architecture is derived and also described in this paper. PMID:25699205
Designing a Web-Based Science Learning Environment for Model-Based Collaborative Inquiry
NASA Astrophysics Data System (ADS)
Sun, Daner; Looi, Chee-Kit
2013-02-01
The paper traces a research process in the design and development of a science learning environment called WiMVT (web-based inquirer with modeling and visualization technology). The WiMVT system is designed to help secondary school students build a sophisticated understanding of scientific conceptions, and the science inquiry process, as well as develop critical learning skills through model-based collaborative inquiry approach. It is intended to support collaborative inquiry, real-time social interaction, progressive modeling, and to provide multiple sources of scaffolding for students. We first discuss the theoretical underpinnings for synthesizing the WiMVT design framework, introduce the components and features of the system, and describe the proposed work flow of WiMVT instruction. We also elucidate our research approach that supports the development of the system. Finally, the findings of a pilot study are briefly presented to demonstrate of the potential for learning efficacy of the WiMVT implementation in science learning. Implications are drawn on how to improve the existing system, refine teaching strategies and provide feedback to researchers, designers and teachers. This pilot study informs designers like us on how to narrow the gap between the learning environment's intended design and its actual usage in the classroom.
Shea, Shawn Christopher
2009-01-01
Over the past several decades, exciting advances have been made in the art and science of teaching clinical interviewing, which are supported by an ever-growing evidence base documenting their effectiveness. In this second article in a 2-part series, the training and research implications of an innovative approach to improving medication adherence based on these educational advances--the medication interest model (MIM)--are described. The objective is to provide an "insider's view" of how to creatively teach the MIM to case managers, as well as design state-of-the-art courses and research platforms dedicated to improving medication adherence through improved clinical interviewing skills in both nursing and medical student education. The teaching and research design concepts are applicable to all primary care settings as well as specialty areas from endocrinology and cardiology to psychiatry. Evidence-based advances in the teaching of clinical interviewing skills such as response-mode research, facilic supervision, microtraining, and macrotraining lend a distinctive quality and integrative power to the MIM. The model delineates several new platforms for training and research regarding the enhancement of medication adherence including an approach for collecting individual interviewing techniques into manageable "learning modules" amenable to competency evaluation and potential certification.
ERIC Educational Resources Information Center
Spaulding, Trent Joseph
2011-01-01
The objective of this research is to understand how a set of systems, as defined by the business process, creates value. The three studies contained in this work develop the model of process-based automation. The model states that complementarities among systems are specified by handoffs in the business process. The model also provides theory to…
Ghaffarzadegan, Navid; Hawley, Joshua; Desai, Anand
2014-03-01
The US government has been increasingly supporting postdoctoral training in biomedical sciences to develop the domestic research workforce. However, current trends suggest that mostly international researchers benefit from the funding, many of whom might leave the USA after training. In this paper, we describe a model used to analyse the flow of national versus international researchers into and out of postdoctoral training. We calibrate our model in the case of the USA and successfully replicate the data. We use the model to conduct simulation-based analyses of effects of different policies on the diversity of postdoctoral researchers. Our model shows that capping the duration of postdoctoral careers, a policy proposed previously, favours international postdoctoral researchers. The analysis suggests that the leverage point to help the growth of domestic research workforce is in the pregraduate education area, and many policies implemented at the postgraduate level have minimal or unintended effects on diversity.
ERIC Educational Resources Information Center
Frees, Edward W.; Kim, Jee-Seon
2006-01-01
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling--model disturbances, random coefficients, and future response…
Calibrating Bayesian Network Representations of Social-Behavioral Models
DOE Office of Scientific and Technical Information (OSTI.GOV)
Whitney, Paul D.; Walsh, Stephen J.
2010-04-08
While human behavior has long been studied, recent and ongoing advances in computational modeling present opportunities for recasting research outcomes in human behavior. In this paper we describe how Bayesian networks can represent outcomes of human behavior research. We demonstrate a Bayesian network that represents political radicalization research – and show a corresponding visual representation of aspects of this research outcome. Since Bayesian networks can be quantitatively compared with external observations, the representation can also be used for empirical assessments of the research which the network summarizes. For a political radicalization model based on published research, we show this empiricalmore » comparison with data taken from the Minorities at Risk Organizational Behaviors database.« less
Malti, Tina; Noam, Gil G; Beelmann, Andreas; Sommer, Simon
2016-01-01
Children's and adolescents' mental health needs emphasize the necessity of a new era of translational research to enhance development and yield better lives for children, families, and communities. Developmental, clinical, and translational research serves as a powerful tool for managing the inevitable complexities in pursuit of these goals. This article proposes key ideas that will strengthen current evidence-based intervention practices by creating stronger links between research, practice, and complex systems contexts, with the potential of extending applicability, replicability, and impact. As exemplified in some of the articles throughout this special issue, new research and innovative implementation models will likely contribute to better ways of assessing and dynamically adapting structure and intervention practice within mental health systems. We contend that future models for effective interventions with children and adolescents will involve increased attention to (a) the connection of research on the developmental needs of children and adolescents to practice models; (b) consideration of informed contextual and cultural adaptation in implementation; and (c) a rational model of evidence-based planning, using a dynamic, inclusive approach with high support for adaptation, flexibility, and implementation fidelity. We discuss future directions for translational research for researchers, practitioners, and administrators in the field to continue and transform these ideas and their illustrations.
Metrics, models and data for assessment of resilience of urban infrastructure systems : final report
DOT National Transportation Integrated Search
2016-12-01
This document is a summary of findings based on this research as presented in several conferences during the : course of the project. The research focused on identifying the basic metrics and models that can be used to : develop representations of pe...
Advances in soil erosion research: processes, measurement, and modeling
USDA-ARS?s Scientific Manuscript database
Soil erosion by the environmental agents of water and wind is a continuing global menace that threatens the agricultural base that sustains our civilization. Members of ASABE have been at the forefront of research to understand erosion processes, measure erosion and related processes, and model very...
ERIC Educational Resources Information Center
Wei, Silin; Liu, Xiufeng; Wang, Zuhao; Wang, Xingqiao
2012-01-01
Research suggests that difficulty in making connections among three levels of chemical representations--macroscopic, submicroscopic, and symbolic--is a primary reason for student alternative conceptions of chemistry concepts, and computer modeling is promising to help students make the connections. However, no computer modeling-based assessment…
Bashing Positivism and Reversing a Medical Model under the Guise of Evidence
ERIC Educational Resources Information Center
Wampold, Bruce E.
2003-01-01
In her advocacy of a model to train counseling psychologists as "evidence-based practitioners," Chwalisz (2003) (this issue) criticizes research based on positivism and advocates for methodological pluralism but ironically suggests the adoption of a medical model to influence the discourse on practice. In this comment, the author examines (a)…
Traffic model for advanced satellite designs and experiments for ISDN services
NASA Technical Reports Server (NTRS)
Pepin, Gerard R.; Hager, E. Paul
1991-01-01
The data base structure and fields for categorizing and storing Integrated Services Digital Network (ISDN) user characteristics is outlined. This traffic model data base will be used to exercise models of the ISDN Advanced Communication Satellite to determine design parameters and performance for the NASA Satellite Communications Applications Research (SCAR) Program.
Programs Model the Future of Air Traffic Management
NASA Technical Reports Server (NTRS)
2010-01-01
Through Small Business Innovation Research (SBIR) contracts with Ames Research Center, Intelligent Automation Inc., based in Rockville, Maryland, advanced specialized software the company had begun developing with U.S. Department of Defense funding. The agent-based infrastructure now allows NASA's Airspace Concept Evaluation System to explore ways of improving the utilization of the National Airspace System (NAS), providing flexible modeling of every part of the NAS down to individual planes, airports, control centers, and even weather. The software has been licensed to a number of aerospace and robotics customers, and has even been used to model the behavior of crowds.
ERIC Educational Resources Information Center
Sunyono; Yuanita, L.; Ibrahim, M.
2015-01-01
The aim of this research is identify the effectiveness of a multiple representation-based learning model, which builds a mental model within the concept of atomic structure. The research sample of 108 students in 3 classes is obtained randomly from among students of Mathematics and Science Education Studies using a stratified random sampling…
ERIC Educational Resources Information Center
Hobbs, Robert Dean
2012-01-01
Evidence-based outcomes in the literature have caused adjustments in neuro-psycholinguistic and sociolinguistic perspectives that indicate a need for a current model of education. Implications from research suggest the new model of education should use a multilingual framework: L3 enhances and reinforces L2 and L1, if L2 and L1 are supported. The…
ERIC Educational Resources Information Center
Akar, Huseyin
2018-01-01
This research aimed to investigate relationships between quality of work life, burnout, school alienation, affective commitment and organizational citizenship behaviors. In this context, a model was proposed based on the literature review and the model was tested through structural equation model. The study group of the research consists of 314…
A Research-to-Practice View of an Early Literacy PD Model
ERIC Educational Resources Information Center
Abbott, Mary
2011-01-01
The purpose of this research-to-practice article is to describe the literacy and oral language professional development (PD) model that took place in a 3-year Early Reading First project in 9 Head Start and community-based school classrooms. Through our data-driven PD model, we provided 55 hr of training workshops for all classroom teaching staff…
ERIC Educational Resources Information Center
Çetin, Baris
2017-01-01
The purpose of this research was to determine whether the use of activities based on Pintrich's self-regulated learning model effect the self-regulated learning perceptions of elementary teacher candidates within a Life Science course. The research was organized in accordance with the quasi-experimental designs model. This study was conducted…
Simulated Students and Classroom Use of Model-Based Intelligent Tutoring
NASA Technical Reports Server (NTRS)
Koedinger, Kenneth R.
2008-01-01
Two educational uses of models and simulations: 1) Students create models and use simulations ; and 2) Researchers create models of learners to guide development of reliably effective materials. Cognitive tutors simulate and support tutoring - data is crucial to create effective model. Pittsburgh Science of Learning Center: Resources for modeling, authoring, experimentation. Repository of data and theory. Examples of advanced modeling efforts: SimStudent learns rule-based model. Help-seeking model: Tutors metacognition. Scooter uses machine learning detectors of student engagement.
de Vries, Rob B M; Buma, Pieter; Leenaars, Marlies; Ritskes-Hoitinga, Merel; Gordijn, Bert
2012-12-01
The use of laboratory animals in tissue engineering research is an important underexposed ethical issue. Several ethical questions may be raised about this use of animals. This article focuses on the possibilities of reducing the number of animals used. Given that there is considerable debate about the adequacy of the current animal models in tissue engineering research, we investigate whether it is possible to reduce the number of laboratory animals by selecting and using only those models that have greatest predictive value for future clinical application of the tissue engineered product. The field of articular cartilage tissue engineering is used as a case study. Based on a study of the scientific literature and interviews with leading experts in the field, an overview is provided of the animal models used and the advantages and disadvantages of each model, particularly in terms of extrapolation to the human situation. Starting from this overview, it is shown that, by skipping the small models and using only one large preclinical model, it is indeed possible to restrict the number of animal models, thereby reducing the number of laboratory animals used. Moreover, it is argued that the selection of animal models should become more evidence based and that researchers should seize more opportunities to choose or create characteristics in the animal models that increase their predictive value.
Godugu, Chandraiah; Singh, Mandip
2016-01-01
Routinely used two-dimensional cell culture-based models often fail while translating the observations into in vivo models. This setback is more common in cancer research, due to several reasons. The extracellular matrix and cell-to-cell interactions are not present in two-dimensional (2D) cell culture models. Diffusion of drug molecules into cancer cells is hindered by barriers of extracellular components in in vivo conditions, these barriers are absent in 2D cell culture models. To better mimic or simulate the in vivo conditions present in tumors, the current study used the alginate based three-dimensional cell culture (AlgiMatrix™) model, which resembles close to the in vivo tumor models. The current study explains the detailed protocols involved in AlgiMatrix™ based in vitro non-small-cell lung cancer (NSCLC) models. The suitability of this model was studied by evaluating, cytotoxicity, apoptosis, and penetration of nanoparticles into the in vitro tumor spheroids. This study also demonstrated the effect of EphA2 receptor targeted docetaxel-loaded nanoparticles on MDA-MB-468 TNBC cell lines. The methods section is subdivided into three subsections such as (1) preparation of AlgiMatrix™-based 3D in vitro tumor models and cytotoxicity assays, (2) free drug and nanoparticle uptake into spheroid studies, and (3) western blot, IHC, and RT-PCR studies.
Nutritional metabolomics: Progress in addressing complexity in diet and health
Jones, Dean P.; Park, Youngja; Ziegler, Thomas R.
2013-01-01
Nutritional metabolomics is rapidly maturing to use small molecule chemical profiling to support integration of diet and nutrition in complex biosystems research. These developments are critical to facilitate transition of nutritional sciences from population-based to individual-based criteria for nutritional research, assessment and management. This review addresses progress in making these approaches manageable for nutrition research. Important concept developments concerning the exposome, predictive health and complex pathobiology, serve to emphasize the central role of diet and nutrition in integrated biosystems models of health and disease. Improved analytic tools and databases for targeted and non-targeted metabolic profiling, along with bioinformatics, pathway mapping and computational modeling, are now used for nutrition research on diet, metabolism, microbiome and health associations. These new developments enable metabolome-wide association studies (MWAS) and provide a foundation for nutritional metabolomics, along with genomics, epigenomics and health phenotyping, to support integrated models required for personalized diet and nutrition forecasting. PMID:22540256
Langley, Gillian R; Adcock, Ian M; Busquet, François; Crofton, Kevin M; Csernok, Elena; Giese, Christoph; Heinonen, Tuula; Herrmann, Kathrin; Hofmann-Apitius, Martin; Landesmann, Brigitte; Marshall, Lindsay J; McIvor, Emily; Muotri, Alysson R; Noor, Fozia; Schutte, Katrin; Seidle, Troy; van de Stolpe, Anja; Van Esch, Hilde; Willett, Catherine; Woszczek, Grzegorz
2017-02-01
Decades of costly failures in translating drug candidates from preclinical disease models to human therapeutic use warrant reconsideration of the priority placed on animal models in biomedical research. Following an international workshop attended by experts from academia, government institutions, research funding bodies, and the corporate and non-governmental organisation (NGO) sectors, in this consensus report, we analyse, as case studies, five disease areas with major unmet needs for new treatments. In view of the scientifically driven transition towards a human pathways-based paradigm in toxicology, a similar paradigm shift appears to be justified in biomedical research. There is a pressing need for an approach that strategically implements advanced, human biology-based models and tools to understand disease pathways at multiple biological scales. We present recommendations to help achieve this. Copyright © 2016 Elsevier Ltd. All rights reserved.
The role of perceived interactivity in virtual communities: building trust and increasing stickiness
NASA Astrophysics Data System (ADS)
Wang, Hongwei; Meng, Yuan; Wang, Wei
2013-03-01
Although previous research has explored factors affecting trust building in websites, little research has been analysed from the perceived interactivity perspective in virtual communities (VCs). A research model for verifying interactivity antecedents to trust and its impact on member stickiness behaviour is presented. Two social interactivity components and two system interactivity components are, respectively, theorised as process-based antecedents and institution-based antecedents to trust in the model. Data were collected from 310 members of VCs to test the model. The results show that connectedness and reciprocity are important antecedents to trust in members, while responsiveness and active control are important antecedents to trust in systems. The results also indicate that trust has significant influence on the members' duration and retention, which are two dimensions of member stickiness measured in this research. These findings have theoretical implications for online interaction-related literature and critical business implications for practitioners of VCs.
2014-04-01
hydrostatic pressure vertical coordinate, which are the same as those used in the Weather Research and Forecasting ( WRF ) model, but a hybrid sigma...hydrostatic pressure vertical coordinate, which are the 33 same as those used in the Weather Research and Forecasting ( WRF ) model, but a hybrid 34 sigma...Weather Research and Forecasting 79 ( WRF ) Model. The Euler equations are in flux form based on the hydrostatic pressure vertical 80 coordinate. In
Reducing the Complexity of an Agent-Based Local Heroin Market Model
Heard, Daniel; Bobashev, Georgiy V.; Morris, Robert J.
2014-01-01
This project explores techniques for reducing the complexity of an agent-based model (ABM). The analysis involved a model developed from the ethnographic research of Dr. Lee Hoffer in the Larimer area heroin market, which involved drug users, drug sellers, homeless individuals and police. The authors used statistical techniques to create a reduced version of the original model which maintained simulation fidelity while reducing computational complexity. This involved identifying key summary quantities of individual customer behavior as well as overall market activity and replacing some agents with probability distributions and regressions. The model was then extended to allow external market interventions in the form of police busts. Extensions of this research perspective, as well as its strengths and limitations, are discussed. PMID:25025132
Effectiveness of discovery learning model on mathematical problem solving
NASA Astrophysics Data System (ADS)
Herdiana, Yunita; Wahyudin, Sispiyati, Ririn
2017-08-01
This research is aimed to describe the effectiveness of discovery learning model on mathematical problem solving. This research investigate the students' problem solving competency before and after learned by using discovery learning model. The population used in this research was student in grade VII in one of junior high school in West Bandung Regency. From nine classes, class VII B were randomly selected as the sample of experiment class, and class VII C as control class, which consist of 35 students every class. The method in this research was quasi experiment. The instrument in this research is pre-test, worksheet and post-test about problem solving of mathematics. Based on the research, it can be conclude that the qualification of problem solving competency of students who gets discovery learning model on level 80%, including in medium category and it show that discovery learning model effective to improve mathematical problem solving.
Guo, Xin-E; Zhao, Yu-Bin; Xie, Yan-Ming; Zhao, Li-Cai; Li, Yan-Feng; Hao, Zhe
2013-09-01
To establish a nurse based post-marketing safety surveillance model for traditional Chinese medicine injections (TCMIs). A TCMIs safety monitoring team and a research hospital team engaged in the research, monitoring processes, and quality control processes were established, in order to achieve comprehensive, timely, accurate and real-time access to research data, to eliminate errors in data collection. A triage system involving a study nurse, as the first point of contact, clinicians and clinical pharmacists was set up in a TCM hospital. Following the specified workflow involving labeling of TCM injections and using improved monitoring forms it was found that there were no missing reports at the ratio of error was zero. A research nurse as the first and main point of contact in post-marketing safety monitoring of TCM as part of a triage model, ensures that research data collected has the characteristics of authenticity, accuracy, timeliness, integrity, and eliminate errors during the process of data collection. Hospital based monitoring is a robust and operable process.
ERIC Educational Resources Information Center
Van Hook, Stephen J.; Huziak-Clark, Tracy L.
2008-01-01
This study examines changes in kindergarten students' understanding of energy after participating in a series of lessons developed using an inquiry-based early childhood science teaching model: Research-based Inquiry Physics Experiences (RIPE). The lessons addressed where objects get their energy and what they use their energy to do, and how…
The Delaware Geography-Health Initiative: Lessons Learned in Designing a GIS-Based Curriculum
ERIC Educational Resources Information Center
Rees, Peter W.; Silberman, Jordan A.
2010-01-01
The Delaware Geography-Health Initiative is a Web- and GIS-based set of lesson units for teaching geographic concepts and research methods within the context of the state's high school geography standards. Each unit follows a research-based, inquiry-centered model addressing questions of health because of Delaware's high incidence of cancer,…
The Effectiveness of the Creative Writing Instruction Program Based on Speaking Activities (CWIPSA)
ERIC Educational Resources Information Center
Bayat, Seher
2016-01-01
This study aims to develop a creative writing instruction program based on speaking activities and to investigate its effect on fourth-grade primary school students' creative writing achievements and writing attitudes. The experimental method based on the pre-test/post-test model was used in this research. The research was conducted with 42…
Lindau, Stacy Tessler; Makelarski, Jennifer A.; Chin, Marshall H.; Desautels, Shane; Johnson, Daniel; Johnson, Waldo E.; Miller, Doriane; Peters, Susan; Robinson, Connie; Schneider, John; Thicklin, Florence; Watson, Natalie P.; Wolfe, Marcus; Whitaker, Eric
2011-01-01
Objective To describe the roles community members can and should play in, and an asset-based strategy used by Chicago’s South Side Health and Vitality Studies for, building sustainable, large-scale community health research infrastructure. The Studies are a family of research efforts aiming to produce actionable knowledge to inform health policy, programming, and investments for the region. Methods Community and university collaborators, using a consensus-based approach, developed shared theoretical perspectives, guiding principles, and a model for collaboration in 2008, which were used to inform an asset-based operational strategy. Ongoing community engagement and relationship-building support the infrastructure and research activities of the Studies. Results Key steps in the asset-based strategy include: 1) continuous community engagement and relationship building, 2) identifying community priorities, 3) identifying community assets, 4) leveraging assets, 5) conducting research, 6) sharing knowledge and 7) informing action. Examples of community member roles, and how these are informed by the Studies’ guiding principles, are provided. Conclusions Community and university collaborators, with shared vision and principles, can effectively work together to plan innovative, large-scale community-based research that serves community needs and priorities. Sustainable, effective models are needed to realize NIH’s mandate for meaningful translation of biomedical discovery into improved population health. PMID:21236295
The Research on Informal Learning Model of College Students Based on SNS and Case Study
NASA Astrophysics Data System (ADS)
Lu, Peng; Cong, Xiao; Bi, Fangyan; Zhou, Dongdai
2017-03-01
With the rapid development of network technology, informal learning based on online become the main way for college students to learn a variety of subject knowledge. The favor to the SNS community of students and the characteristics of SNS itself provide a good opportunity for the informal learning of college students. This research first analyzes the related research of the informal learning and SNS, next, discusses the characteristics of informal learning and theoretical basis. Then, it proposed an informal learning model of college students based on SNS according to the support role of SNS to the informal learning of students. Finally, according to the theoretical model and the principles proposed in this study, using the Elgg and related tools which is the open source SNS program to achieve the informal learning community. This research is trying to overcome issues such as the lack of social realism, interactivity, resource transfer mode in the current network informal learning communities, so as to provide a new way of informal learning for college students.
Instrumentation and telemetry systems for free-flight drop model testing
NASA Technical Reports Server (NTRS)
Hyde, Charles R.; Massie, Jeffrey J.
1993-01-01
This paper presents instrumentation and telemetry system techniques used in free-flight research drop model testing at the NASA Langley Research Center. The free-flight drop model test technique is used to conduct flight dynamics research of high performance aircraft using dynamically scaled models. The free-flight drop model flight testing supplements research using computer analysis and wind tunnel testing. The drop models are scaled to approximately 20 percent of the size of the actual aircraft. This paper presents an introduction to the Free-Flight Drop Model Program which is followed by a description of the current instrumentation and telemetry systems used at the NASA Langley Research Center, Plum Tree Test Site. The paper describes three telemetry downlinks used to acquire the data, video, and radar tracking information from the model. Also described are two telemetry uplinks, one used to fly the model employing a ground-based flight control computer and a second to activate commands for visual tracking and parachute recovery of the model. The paper concludes with a discussion of free-flight drop model instrumentation and telemetry system development currently in progress for future drop model projects at the NASA Langley Research Center.
Jiang, Guoqian; Evans, Julie; Endle, Cory M; Solbrig, Harold R; Chute, Christopher G
2016-01-01
The Biomedical Research Integrated Domain Group (BRIDG) model is a formal domain analysis model for protocol-driven biomedical research, and serves as a semantic foundation for application and message development in the standards developing organizations (SDOs). The increasing sophistication and complexity of the BRIDG model requires new approaches to the management and utilization of the underlying semantics to harmonize domain-specific standards. The objective of this study is to develop and evaluate a Semantic Web-based approach that integrates the BRIDG model with ISO 21090 data types to generate domain-specific templates to support clinical study metadata standards development. We developed a template generation and visualization system based on an open source Resource Description Framework (RDF) store backend, a SmartGWT-based web user interface, and a "mind map" based tool for the visualization of generated domain-specific templates. We also developed a RESTful Web Service informed by the Clinical Information Modeling Initiative (CIMI) reference model for access to the generated domain-specific templates. A preliminary usability study is performed and all reviewers (n = 3) had very positive responses for the evaluation questions in terms of the usability and the capability of meeting the system requirements (with the average score of 4.6). Semantic Web technologies provide a scalable infrastructure and have great potential to enable computable semantic interoperability of models in the intersection of health care and clinical research.
ECO-DRIVING MODELING ENVIRONMENT
DOT National Transportation Integrated Search
2015-11-01
This research project aims to examine the eco-driving modeling capabilities of different traffic modeling tools available and to develop a driver-simulator-based eco-driving modeling tool to evaluate driver behavior and to reliably estimate or measur...
Krause, James S.; Saunders, Lee L.; DiPiro, Nicole D.; Reed, Karla S.
2013-01-01
Background: To successfully prevent secondary health conditions (SHCs) and promote longevity after spinal cord injury (SCI), we must first understand the risk factors precipitating their occurrence and develop strategies to address these risk factors. Conceptual models may aid in identifying the nature of SHCs and guide research, clinical practice, and the development of prevention strategies. Objective: Our purpose is to review and refine an existing theoretical risk and prevention model (TRPM) as a means of classifying risk and protective factors for SHCs and mortality after SCI and for identifying points of intervention. Methods: We describe conceptual work within the field of SCI research and SHCs, including a description of the TRPM, a review of research using the TRPM, and conceptual enhancements to the TRPM based on previous research. Conclusions: The enhanced TRPM directs research to the timing and chronicity of the SHCs and their relationship with overall health and physiologic decline. Future research should identify differences in the nature of SHCs, the extent to which they relate to risk and protective factors, and the degree to which they may be prevented with appropriate research-based strategies. PMID:23459002
2016-12-01
MATERIALS SOCIETY (STINFO COPY) AIR FORCE RESEARCH LABORATORY MATERIALS AND MANUFACTURING DIRECTORATE WRIGHT-PATTERSON AIR FORCE BASE, OH 45433-7750...S) AND ADDRESS(ES) 10. SPONSORING/MONITORING AGENCY ACRONYM(S) Air Force Research Laboratory Materials and Manufacturing Directorate...Pratt & Whitney 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 3) Thermophysical Properties Research Laboratory, Inc., 3080
Implementing Project Based Learning Approach to Graphic Design Course
ERIC Educational Resources Information Center
Riyanti, Menul Teguh; Erwin, Tuti Nuriah; Suriani, S. H.
2017-01-01
The purpose of this study was to develop a learning model based Commercial Graphic Design Drafting project-based learning approach, was chosen as a strategy in the learning product development research. University students as the target audience of this model are the students of the fifth semester Visual Communications Design Studies Program…
A Model to Assess the Behavioral Impacts of Consultative Knowledge Based Systems.
ERIC Educational Resources Information Center
Mak, Brenda; Lyytinen, Kalle
1997-01-01
This research model studies the behavioral impacts of consultative knowledge based systems (KBS). A study of graduate students explored to what extent their decisions were affected by user participation in updating the knowledge base; ambiguity of decision setting; routinization of usage; and source credibility of the expertise embedded in the…
Meaning-Based Scoring: A Systemic Functional Linguistics Model for Automated Test Tasks
ERIC Educational Resources Information Center
Gleason, Jesse
2014-01-01
Communicative approaches to language teaching that emphasize the importance of speaking (e.g., task-based language teaching) require innovative and evidence-based means of assessing oral language. Nonetheless, research has yet to produce an adequate assessment model for oral language (Chun 2006; Downey et al. 2008). Limited by automatic speech…
Research on optimization of combustion efficiency of thermal power unit based on genetic algorithm
NASA Astrophysics Data System (ADS)
Zhou, Qiongyang
2018-04-01
In order to improve the economic performance and reduce pollutant emissions of thermal power units, the characteristics of neural network in establishing boiler combustion model are analyzed based on the analysis of the main factors affecting boiler efficiency by using orthogonal method. In addition, on the basis of this model, the genetic algorithm is used to find the best control amount of the furnace combustion in a certain working condition. Through the genetic algorithm based on real number encoding and roulette selection is concluded: the best control quantity at a condition of furnace combustion can be combined with the boiler combustion system model for neural network training. The precision of the neural network model is further improved, and the basic work is laid for the research of the whole boiler combustion optimization system.
NASA Astrophysics Data System (ADS)
Vaysman, Ya I.; Surkov, AA; Surkova, Yu I.; Kychkin, AV
2017-06-01
The article is devoted to the use of renewable energy sources and the assessment of the feasibility of their use in the climatic conditions of the Western Urals. A simulation model that calculates the efficiency of a combined power installations (CPI) was (RES) developed. The CPI consists of the geothermal heat pump (GHP) and the vacuum solar collector (VCS) and is based on the research model. This model allows solving a wide range of problems in the field of energy and resource efficiency, and can be applied to other objects using RES. Based on the research recommendations for optimizing the management and the application of CPI were given. The optimization system will give a positive effect in the energy and resource consumption of low-rise residential buildings projects.
The Ames two-dimensional stratosphere-mesospheric model. [chemistry and transport of SST pollution
NASA Technical Reports Server (NTRS)
Whitten, R. C.; Borucki, W. J.; Watson, V. R.; Capone, L. A.; Maples, A. L.; Riegel, C. A.
1974-01-01
A two-dimensional model of the stratosphere and mesosphere has recently been developed at Ames Research Center. The model contains chemistry based on 18 species that are solved for at each step and a seasonally-varying transport model based on both winds and eddy transport. The model is described and a preliminary assessment of the impact of supersonic aircraft flights on the ozone layer is given.
[RESEARCH PROGRESS OF EXPERIMENTAL ANIMAL MODELS OF AVASCULAR NECROSIS OF FEMORAL HEAD].
Yu, Kaifu; Tan, Hongbo; Xu, Yongqing
2015-12-01
To summarize the current researches and progress on experimental animal models of avascular necrosis of the femoral head. Domestic and internation literature concerning experimental animal models of avascular necrosis of the femoral head was reviewed and analyzed. The methods to prepare the experimental animal models of avascular necrosis of the femoral head can be mainly concluded as traumatic methods (including surgical, physical, and chemical insult), and non-traumatic methods (including steroid, lipopolysaccharide, steroid combined with lipopolysaccharide, steroid combined with horse serum, etc). Each method has both merits and demerits, yet no ideal methods have been developed. There are many methods to prepare the experimental animal models of avascular necrosis of the femoral head, but proper model should be selected based on the aim of research. The establishment of ideal experimental animal models needs further research in future.
Evidence base and future research directions in the management of low back pain.
Abbott, Allan
2016-03-18
Low back pain (LBP) is a prevalent and costly condition. Awareness of valid and reliable patient history taking, physical examination and clinical testing is important for diagnostic accuracy. Stratified care which targets treatment to patient subgroups based on key characteristics is reliant upon accurate diagnostics. Models of stratified care that can potentially improve treatment effects include prognostic risk profiling for persistent LBP, likely response to specific treatment based on clinical prediction models or suspected underlying causal mechanisms. The focus of this editorial is to highlight current research status and future directions for LBP diagnostics and stratified care.
An optimum organizational structure for a large earth-orbiting multidisciplinary Space Base
NASA Technical Reports Server (NTRS)
Ragusa, J. M.
1973-01-01
The purpose of this exploratory study was to identify an optimum hypothetical organizational structure for a large earth-orbiting multidisciplinary research and applications (R&A) Space Base manned by a mixed crew of technologists. Since such a facility does not presently exist, in situ empirical testing was not possible. Study activity was, therefore, concerned with the identification of a desired organizational structural model rather than the empirical testing of it. The essential finding of this research was that a four-level project type 'total matrix' model will optimize the efficiency and effectiveness of Space Base technologists.
Collaborative research in the model spinal cord injury systems: process and outcomes.
Richards, J Scott
2002-01-01
To review the way in which collaborative research has been conducted under the National Institute on Disability and Rehabilitation Research (NIDRR)-funded Model Spinal Cord Injury Systems (MSCIS) Program, changes made in that process, and significant outcomes. A comparison of changes by NIDRR in the way collaborative research was competed and funded in the 1 995 and 2001 competitions. A review of outcomes of the 1 995 collaborative projects was based on queries to lead centers. Collaborative research through the model SCI systems has been conducted and continues to be conducted through 2 main venues: The National Spinal Cord Injury Statistical Center (NSCISC) database, which has provided data for a number of collaborative studies, and specifically funded proposals for collaborative research. In the 1995 competition for NIDRR funding, collaborative research proposals were submitted as part of the Model SCI Systems competitive applications. In the 2001 competition, collaborative research was parceled out and a separate competition held. There have been a number of publications stemming from the 1 995 competition; some of the data from these projects are still being explored and used for manuscripts. The outcomes for the 2001 competition will not be known for several years. Collaborative research has the advantage of generating larger numbers more quickly than any 1 center can typically generate, producing a more broadly based sample and, therefore, generalizable result, and facilitating the use of expertise not always available in a single center. Collaborative research activities have been among the most productive aspects of the Model Systems program; the change in the way this component is competed in the most recent competition is yet to be evaluated in terms of its efficacy compared with methods used for funding collaborative research in past competitions.
A Model-Based Approach to Battle Execution Monitoring
2005-01-01
New York, 1980 . 49. Helmbold, R. Some Observations on the Use of Lanchester’s Theory for Prediction; Operations Research: Lincoln, RI, 1964...Empirical Model Building; Wiley: New York, 1989. 69 NO. OF NO. OF COPIES ORGANIZATION COPIES ORGANIZATION 1 DEFENSE TECHNICAL ( PDF ...ORGANIZATION 2 US ARMY RESEARCH OFFICE AMSRD ARL RO MM J LAVERY D HISLOP PO BOX 12211 RESEARCH TRIANGLE PARK NC 27709-2211 3
ERIC Educational Resources Information Center
Briand-Lamarche, Mélodie; Pinard, Renée; Thériault, Pascale; Dagenais, Christian
2016-01-01
To encourage the use of research-based information (RBI) in education in Quebec, the "Centre de transfert pour la réussite educative du Québec" CTREQ and the RENARD team, a knowledge transfer research team, developed the Competency Model for Knowledge Translation to Support Educational Achievement among Quebec Youth. They then developed…
ERIC Educational Resources Information Center
Brush, Thomas; Saye, John
2014-01-01
For over a decade, we have collaborated with secondary school history teachers in an evolving line of inquiry that applies research-based propositions to the design and testing of a problem-based learning framework and a set of wise practices that represent a professional teaching knowledge base for implementing a particular model of instruction,…
NASA Astrophysics Data System (ADS)
Sugiyanto; Zukhronah, Etik; Pratiwi, Esteti Sophia
2017-12-01
Indonesia has been hit by financial crisis in the middle of 1997. The financial crisis that has occurred gives a severe impact to the economy of Indonesia resulting the needs for a detection system of financial crisis. Crisis can be detected based on several indicators such as M1, M2 per foreign exchange reserves, and M2 multiplier. These three indicators can affect the exchange rate stability and may further affect the financial stability so that it can be one of the causes of the financial crisis. This research aims to determine the appropriate model that can detect the financial crisis in Indonesia. Markov switching is an alternative model that can be approach and used often for detecting financial crisis. We can determine the combination of volatility and Markov switching model with AR and volatility model are determined first. The results of this research are that M1 can be modelled by SWARCH (3, 1) while M2 per foreign research exchange reserves and M2 multiplier can be modelled by SWARCH(3,2).
The Structure of Psychopathology: Toward an Expanded Quantitative Empirical Model
Wright, Aidan G.C.; Krueger, Robert F.; Hobbs, Megan J.; Markon, Kristian E.; Eaton, Nicholas R.; Slade, Tim
2013-01-01
There has been substantial recent interest in the development of a quantitative, empirically based model of psychopathology. However, the majority of pertinent research has focused on analyses of diagnoses, as described in current official nosologies. This is a significant limitation because existing diagnostic categories are often heterogeneous. In the current research, we aimed to redress this limitation of the existing literature, and to directly compare the fit of categorical, continuous, and hybrid (i.e., combined categorical and continuous) models of syndromes derived from indicators more fine-grained than diagnoses. We analyzed data from a large representative epidemiologic sample (the 2007 Australian National Survey of Mental Health and Wellbeing; N = 8,841). Continuous models provided the best fit for each syndrome we observed (Distress, Obsessive Compulsivity, Fear, Alcohol Problems, Drug Problems, and Psychotic Experiences). In addition, the best fitting higher-order model of these syndromes grouped them into three broad spectra: Internalizing, Externalizing, and Psychotic Experiences. We discuss these results in terms of future efforts to refine emerging empirically based, dimensional-spectrum model of psychopathology, and to use the model to frame psychopathology research more broadly. PMID:23067258
Modelling of a holographic interferometry based calorimeter for radiation dosimetry
NASA Astrophysics Data System (ADS)
Beigzadeh, A. M.; Vaziri, M. R. Rashidian; Ziaie, F.
2017-08-01
In this research work, a model for predicting the behaviour of holographic interferometry based calorimeters for radiation dosimetry is introduced. Using this technique for radiation dosimetry via measuring the variations of refractive index due to energy deposition of radiation has several considerable advantages such as extreme sensitivity and ability of working without normally used temperature sensors that disturb the radiation field. We have shown that the results of our model are in good agreement with the experiments performed by other researchers under the same conditions. This model also reveals that these types of calorimeters have the additional and considerable merits of transforming the dose distribution to a set of discernible interference fringes.
Model-based analyses: Promises, pitfalls, and example applications to the study of cognitive control
Mars, Rogier B.; Shea, Nicholas J.; Kolling, Nils; Rushworth, Matthew F. S.
2011-01-01
We discuss a recent approach to investigating cognitive control, which has the potential to deal with some of the challenges inherent in this endeavour. In a model-based approach, the researcher defines a formal, computational model that performs the task at hand and whose performance matches that of a research participant. The internal variables in such a model might then be taken as proxies for latent variables computed in the brain. We discuss the potential advantages of such an approach for the study of the neural underpinnings of cognitive control and its pitfalls, and we make explicit the assumptions underlying the interpretation of data obtained using this approach. PMID:20437297
Research on Daily Objects Detection Based on Deep Neural Network
NASA Astrophysics Data System (ADS)
Ding, Sheng; Zhao, Kun
2018-03-01
With the rapid development of deep learning, great breakthroughs have been made in the field of object detection. In this article, the deep learning algorithm is applied to the detection of daily objects, and some progress has been made in this direction. Compared with traditional object detection methods, the daily objects detection method based on deep learning is faster and more accurate. The main research work of this article: 1. collect a small data set of daily objects; 2. in the TensorFlow framework to build different models of object detection, and use this data set training model; 3. the training process and effect of the model are improved by fine-tuning the model parameters.
NASA Astrophysics Data System (ADS)
Tessera, Marc
2017-03-01
The search for origin of `life' is made even more complicated by differing definitions of the subject matter, although a general consensus is that an appropriate definition should center on Darwinian evolution (Cleland and Chyba 2002). Within a physical approach which has been defined as a level-4 evolution (Tessera and Hoelzer 2013), one mechanism could be described showing that only three conditions are required to allow natural selection to apply to populations of different system lineages. This approach leads to a vesicle- based model with the necessary properties. Of course such a model has to be tested. Thus, after a brief presentation of the model an experimental program is proposed that implements the different steps able to show whether this new direction of the research in the field is valid and workable.
NASA Astrophysics Data System (ADS)
Le Floch, Francois; Harris, Wesley L.
2009-11-01
A novel methodology has been developed to address sickle cell disease, based on highly descriptive mathematical models for blood flow in the capillaries. Our investigations focus on the coupling between oxygen delivery and red blood cell dynamics, which is crucial to understanding sickle cell crises and is unique to this blood disease. The main part of our work is an extensive study of blood dynamics through simulations of red cells deforming within the capillary vessels, and relies on the use of a large mathematical system of equations describing oxygen transfer, blood plasma dynamics and red cell membrane mechanics. This model is expected to lead to the development of new research strategies for sickle cell disease. Our simulation model could be used not only to assess current researched remedies, but also to spur innovative research initiatives, based on our study of the physical properties coupled in sickle cell disease.
Tessera, Marc
2017-03-01
The search for origin of 'life' is made even more complicated by differing definitions of the subject matter, although a general consensus is that an appropriate definition should center on Darwinian evolution (Cleland and Chyba 2002). Within a physical approach which has been defined as a level-4 evolution (Tessera and Hoelzer 2013), one mechanism could be described showing that only three conditions are required to allow natural selection to apply to populations of different system lineages. This approach leads to a vesicle- based model with the necessary properties. Of course such a model has to be tested. Thus, after a brief presentation of the model an experimental program is proposed that implements the different steps able to show whether this new direction of the research in the field is valid and workable.
The materials processing research base of the Materials Processing Center. Report for FY 1982
NASA Technical Reports Server (NTRS)
Flemings, M. C.
1983-01-01
The work described, while involving research in the broad field of materials processing, has two common features: the problems are closed related to space precessing of materials and have both practical and fundamental significance. An interesting and important feature of many of the projects is that the interdisciplinary nature of the problem mandates complementary analytical modeling/experimental approaches. An other important aspect of many of the projects is the increasing use of mathematical modeling techniques as one of the research tools. The predictive capability of these models, when tested against measurements, plays a very important role in both the planning of experimental programs and in the rational interpretation of the results. Many of the projects described have a space experiment as their ultimate objective. Mathematical models are proving to be extremely valuable in projecting the findings of ground - based experiments to microgravity conditions.
Some characteristics of supernetworks based on unified hybrid network theory framework
NASA Astrophysics Data System (ADS)
Liu, Qiang; Fang, Jin-Qing; Li, Yong
Comparing with single complex networks, supernetworks are more close to the real world in some ways, and have become the newest research hot spot in the network science recently. Some progresses have been made in the research of supernetworks, but the theoretical research method and complex network characteristics of supernetwork models are still needed to further explore. In this paper, we propose three kinds of supernetwork models with three layers based on the unified hybrid network theory framework (UHNTF), and introduce preferential and random linking, respectively, between the upper and lower layers. Then we compared the topological characteristics of the single networks with the supernetwork models. In order to analyze the influence of the interlayer edges on network characteristics, the cross-degree is defined as a new important parameter. Then some interesting new phenomena are found, the results imply this supernetwork model has reference value and application potential.
Peer-to-peer communication, cancer prevention, and the internet
Ancker, Jessica S.; Carpenter, Kristen M.; Greene, Paul; Hoffmann, Randi; Kukafka, Rita; Marlow, Laura A.V.; Prigerson, Holly G.; Quillin, John M.
2013-01-01
Online communication among patients and consumers through support groups, discussion boards, and knowledge resources is becoming more common. In this paper, we discuss key methods through which such web-based peer-to-peer communication may affect health promotion and disease prevention behavior (exchanges of information, emotional and instrumental support, and establishment of group norms and models). We also discuss several theoretical models for studying online peer communication, including social theory, health communication models, and health behavior models. Although online peer communication about health and disease is very common, research evaluating effects on health behaviors, mediators, and outcomes is still relatively sparse. We suggest that future research in this field should include formative evaluation and studies of effects on mediators of behavior change, behaviors, and outcomes. It will also be important to examine spontaneously emerging peer communication efforts to see how they can be integrated with theory-based efforts initiated by researchers. PMID:19449267
Teaching and assessing procedural skills using simulation: metrics and methodology.
Lammers, Richard L; Davenport, Moira; Korley, Frederick; Griswold-Theodorson, Sharon; Fitch, Michael T; Narang, Aneesh T; Evans, Leigh V; Gross, Amy; Rodriguez, Elliot; Dodge, Kelly L; Hamann, Cara J; Robey, Walter C
2008-11-01
Simulation allows educators to develop learner-focused training and outcomes-based assessments. However, the effectiveness and validity of simulation-based training in emergency medicine (EM) requires further investigation. Teaching and testing technical skills require methods and assessment instruments that are somewhat different than those used for cognitive or team skills. Drawing from work published by other medical disciplines as well as educational, behavioral, and human factors research, the authors developed six research themes: measurement of procedural skills; development of performance standards; assessment and validation of training methods, simulator models, and assessment tools; optimization of training methods; transfer of skills learned on simulator models to patients; and prevention of skill decay over time. The article reviews relevant and established educational research methodologies and identifies gaps in our knowledge of how physicians learn procedures. The authors present questions requiring further research that, once answered, will advance understanding of simulation-based procedural training and assessment in EM.
Developmental issues in school-based aggression prevention from a social-cognitive perspective.
Boxer, Paul; Goldstein, Sara E; Musher-Eizenman, Dara; Dubow, Eric F; Heretick, Donna
2005-09-01
Contemporary research on the development and prevention of aggressive behavior in childhood and adolescence emphasizes the importance of social-cognitive factors such as perceptual biases, problem-solving skills, and social-moral beliefs in the maintenance of aggression. Indeed, school-based social-cognitive intervention approaches have been identified as best practices by the Centers for Disease Control and Prevention. However, because child age is an important covariate of both intervention effectiveness and social-cognitive ability, school-based prevention program designers should keep in mind a number of issues identified through developmental research. In this paper, we review the social-cognitive model of aggressive behavior development as applied to prevention programming. We then discuss some of the ways in which the broader developmental research base can inform the design of aggression prevention programs. EDITORS' STRATEGIC IMPLICATIONS: Educational administrators and policy makers will find evidence in this review that school-based programs that employ a social-cognitive model represent a strategy that works for preventing violence. Prevention researchers will also benefit from the authors' insights regarding theoretical mediating processes and the importance of a developmental view.
V and V Efforts of Auroral Precipitation Models: Preliminary Results
NASA Technical Reports Server (NTRS)
Zheng, Yihua; Kuznetsova, Masha; Rastaetter, Lutz; Hesse, Michael
2011-01-01
Auroral precipitation models have been valuable both in terms of space weather applications and space science research. Yet very limited testing has been performed regarding model performance. A variety of auroral models are available, including empirical models that are parameterized by geomagnetic indices or upstream solar wind conditions, now casting models that are based on satellite observations, or those derived from physics-based, coupled global models. In this presentation, we will show our preliminary results regarding V&V efforts of some of the models.
Flamelet Model Application for Non-Premixed Turbulent Combustion
NASA Technical Reports Server (NTRS)
Secundov, A.; Bezgin, L.; Buriko, Yu.; Guskov, O.; Kopchenov, V.; Laskin, I.; Lomkov, K.; Tshepin, S.; Volkov, D.; Zaitsev, S.
1996-01-01
The current Final Report contains results of the study which was performed in Scientific Research Center 'ECOLEN' (Moscow, Russia). The study concerns the development and verification of non-expensive approach for modeling of supersonic turbulent diffusion flames based on flamelet consideration of the chemistry/turbulence interaction (FL approach). Research work included: development of the approach and CFD tests of the flamelet model for supersonic jet flames; development of the simplified procedure for solution of the flamelet equations based on partial equilibrium chemistry assumption; study of the flame ignition/extinction predictions provided by flamelet model. The performed investigation demonstrated that FL approach allowed to describe satisfactory main features of supersonic H 2/air jet flames. Model demonstrated also high capabilities for reduction of the computational expenses in CFD modeling of the supersonic flames taking into account detailed oxidation chemistry. However, some disadvantages and restrictions of the existing version of approach were found in this study. They were: (1) inaccuracy in predictions of the passive scalar statistics by our turbulence model for one of the considered test cases; and (2) applicability of the available version of the flamelet model to flames without large ignition delay distance only. Based on the results of the performed investigation, we formulated and submitted to the National Aeronautics and Space Administration our Project Proposal for the next step research directed toward further improvement of the FL approach.
Quantitative Research: A Dispute Resolution Model for FTC Advertising Regulation.
ERIC Educational Resources Information Center
Richards, Jef I.; Preston, Ivan L.
Noting the lack of a dispute mechanism for determining whether an advertising practice is truly deceptive without generating the costs and negative publicity produced by traditional Federal Trade Commission (FTC) procedures, this paper proposes a model based upon early termination of the issues through jointly commissioned behavioral research. The…
Enhancing Students' Communication Skills through Treffinger Teaching Model
ERIC Educational Resources Information Center
Alhaddad, Idrus; Kusumah, Yaya S.; Sabandar, Jozua; Dahlan, Jarnawi A.
2015-01-01
This research aims to investigate, compare, and describe the achievement and enhancement of students' mathematical communication skills (MCS). It based on the prior mathematical knowledge (PMK) category (high, medium and low) by using Treffinger models (TM) and conventional learning (CL). This research is an experimental study with the population…
Previous research has demonstrated the ability to use the Weather Research and Forecast (WRF) model and contemporary dynamical downscaling methods to refine global climate modeling results to a horizontal resolution of 36 km. Environmental managers and urban planners have expre...
Research Summary 3-D Computational Fluid Dynamics (CFD) Model Of The Human Respiratory System
The U.S. EPA’s Office of Research and Development (ORD) has developed a 3-D computational fluid dynamics (CFD) model of the human respiratory system that allows for the simulation of particulate based contaminant deposition and clearance, while being adaptable for age, ethnicity,...
An Evaluation Research Model for System-Wide Textbook Selection.
ERIC Educational Resources Information Center
Talmage, Harriet; Walberg, Herbert T.
One component of an evaluation research model for system-wide selection of curriculum materials is reported: implementation of an evaluation design for obtaining data that permits professional and lay persons to base curriculum materials decisions on a "best fit" principle. The design includes teacher characteristics, learning environment…
A Methodological Review of Structural Equation Modelling in Higher Education Research
ERIC Educational Resources Information Center
Green, Teegan
2016-01-01
Despite increases in the number of articles published in higher education journals using structural equation modelling (SEM), research addressing their statistical sufficiency, methodological appropriateness and quantitative rigour is sparse. In response, this article provides a census of all covariance-based SEM articles published up until 2013…
How lay people respond to messages about genetics, health, and race.
Condit, C; Bates, B
2005-08-01
There is a growing movement in medical genetics to develop, implement, and promote a model of race-based medicine. Although race-based medicine may become a widely disseminated standard of care, messages that advocate race-based selection for diagnosing, screening and prescribing drugs may exacerbate health disparities. These messages are present in clinical genetic counseling sessions, mass media, and everyday talk. Messages promoting linkages among genes, race, and health and messages emphasizing genetic causation may promote both general racism and genetically based racism. This mini-review examines research in three areas: studies that address the effects of these messages about genetics on levels of genetic determinism and genetic discrimination; studies that address the effects of these messages on attitudes about race; and, studies of the impacts of race-specific genetic messages on recipients. Following an integration of this research, this mini-review suggests that the current literature appears fragmented because of methodological and measurement issues and offers strategies for future research. Finally, the authors offer a path model to help organize future research examining the effects of messages about genetics on socioculturally based racism, genetically based racism, and unaccounted for racism. Research in this area is needed to understand and mitigate the negative attitudinal effects of messages that link genes, race, and health and/or emphasize genetic causation.
`INCLUDING' Partnerships to Build Authentic Research Into K-12 Science Education
NASA Astrophysics Data System (ADS)
Turrin, M.; Lev, E.; Newton, R.; Xu, C.
2017-12-01
Opportunities for authentic research experiences have been shown effective for recruiting and retaining students in STEM fields. Meaningful research experiences entail significant time in project design, modeling ethical practice, providing training, instruction, and ongoing guidance. We propose that in order to be sustainable, a new instructional paradigm is needed, one that shifts from being top-weighted in instruction to a distributed weight model. This model relies on partnerships where everyone has buy-in and reaps rewards, establishing broadened networks for support, and adjusting the mentoring model. We use our successful Secondary School Field Research Program as a model for this new paradigm. For over a decade this program has provided authentic geoscience field research for an expanding group of predominantly inner city high school youth from communities underrepresented in the sciences. The program has shifted the balance with returning participants now serving as undergraduate mentors for the high school student `researchers', providing much of the ongoing training, instruction, guidance and feedback needed. But in order to be sustainable and impactful we need to broaden our base. A recent NSF-INCLUDES pilot project has allowed us to expand this model, linking schools, informal education non-profits, other academic institutions, community partners and private funding agencies into geographically organized `clusters'. Starting with a tiered mentoring model with scientists as consultants, teachers as team members, undergraduates as team leaders and high school students as researchers, each cluster will customize its program to reflect the needs and strengths of the team. To be successful each organization must identify how the program fits their organizational goals, the resources they can contribute and what they need back. Widening the partnership base spreads institutional commitments for research scientists, research locations and lab space, meaningful projects and undergraduate mentors. Representatives from the clusters formed working groups to turn best practices in areas such as mentoring, recruitment, assessment and funding into a flexible structure for the clusters. These working groups will provide the outline to expand a successful authentic research program.
Reduced-Order Modeling: Cooperative Research and Development at the NASA Langley Research Center
NASA Technical Reports Server (NTRS)
Silva, Walter A.; Beran, Philip S.; Cesnik, Carlos E. S.; Guendel, Randal E.; Kurdila, Andrew; Prazenica, Richard J.; Librescu, Liviu; Marzocca, Piergiovanni; Raveh, Daniella E.
2001-01-01
Cooperative research and development activities at the NASA Langley Research Center (LaRC) involving reduced-order modeling (ROM) techniques are presented. Emphasis is given to reduced-order methods and analyses based on Volterra series representations, although some recent results using Proper Orthogonal Deco in position (POD) are discussed as well. Results are reported for a variety of computational and experimental nonlinear systems to provide clear examples of the use of reduced-order models, particularly within the field of computational aeroelasticity. The need for and the relative performance (speed, accuracy, and robustness) of reduced-order modeling strategies is documented. The development of unsteady aerodynamic state-space models directly from computational fluid dynamics analyses is presented in addition to analytical and experimental identifications of Volterra kernels. Finally, future directions for this research activity are summarized.
Manson, Steven M.; Evans, Tom
2007-01-01
We combine mixed-methods research with integrated agent-based modeling to understand land change and economic decision making in the United States and Mexico. This work demonstrates how sustainability science benefits from combining integrated agent-based modeling (which blends methods from the social, ecological, and information sciences) and mixed-methods research (which interleaves multiple approaches ranging from qualitative field research to quantitative laboratory experiments and interpretation of remotely sensed imagery). We test assumptions of utility-maximizing behavior in household-level landscape management in south-central Indiana, linking parcel data, land cover derived from aerial photography, and findings from laboratory experiments. We examine the role of uncertainty and limited information, preferences, differential demographic attributes, and past experience and future time horizons. We also use evolutionary programming to represent bounded rationality in agriculturalist households in the southern Yucatán of Mexico. This approach captures realistic rule of thumb strategies while identifying social and environmental factors in a manner similar to econometric models. These case studies highlight the role of computational models of decision making in land-change contexts and advance our understanding of decision making in general. PMID:18093928
NASA Technical Reports Server (NTRS)
1992-01-01
The objectives, status, and accomplishments of the research tasks supported under the NASA Upper Atmosphere Research Program (UARP) are presented. The topics covered include the following: balloon-borne in situ measurements; balloon-borne remote measurements; ground-based measurements; aircraft-borne measurements; rocket-borne measurements; instrument development; reaction kinetics and photochemistry; spectroscopy; stratospheric dynamics and related analysis; stratospheric chemistry, analysis, and related modeling; and global chemical modeling.
A New Model of Tracheostomy Care: Closing the Research-Practice Gap
2003-01-01
521 A New Model of Tracheostomy Care: Closing the Research –Practice Gap Joel St. Clair Abstract Performance improvements have brought about...and it continues to close the research - practice gap . The WRAMC Department of Nursing is presently developing similar evidence-based procedures for... Research -Practice Gap 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK
Pacific CRYSTAL Teacher Professional Development Models: Lessons Learned
NASA Astrophysics Data System (ADS)
van der Flier-Keller, E.; Yore, L.
2010-12-01
From 2005 to 2010 Pacific CRYSTAL (Centre for Research in Youth Science Teaching and Learning) has been engaged in community-based research fostering teacher leadership in innovative science education through a variety of approaches to teacher professional development. Pacific CRYSTAL is a University of Victoria based, NSERC funded project founded on a collaborative research model involving scentists, science educators and community members including schools, teachers, community groups and government. Pacific CRYSTAL professional development approaches embrace both in-service teachers and pre-service teachers, and include Lighthouse schools, workshops (ongoing as well as one-time), community-based partnerships in Pacific CRYSTAL research projects, teachers as researchers, and university science courses and workshops for pre-education and education students. A number of common themes, identified through these approaches, should be considered in the development and implementation of future science professional development initiatives. They include; teacher turnover, expanding and adding schools and participating teachers, teacher apprehension, building leadership capacity, further engagement of 'tourist' teachers, continuing professional support for teachers, as well as on-going mentoring.
NASA Astrophysics Data System (ADS)
Yoda, I. K.
2017-03-01
The purpose of this research is to develop a cooperative learning model based on local wisdom (PKBKL) of Bali (Tri Pramana’s concept), for physical education, sport, and health learning in VII grade of Junior High School in Singaraja-Buleleng Bali. This research is the development research of the development design chosen refers to the development proposed by Dick and Carey. The development of model and learning devices was conducted through four stages, namely: (1) identification and needs analysis stage (2) the development of design and draft of PKBKL and RPP models, (3) testing stage (expert review, try out, and implementation). Small group try out was conducted on VII-3 grade of Undiksha Laboratory Junior High School in the academic year 2013/2014, large group try out was conducted on VIIb of Santo Paulus Junior High School Singaraja in the academic year 2014/2015, and the implementation of the model was conducted on three (3) schools namely SMPN 2 Singaraja, SMPN 3 Singaraja, and Undiksha laboratory Junior High School in the academic year 2014/2015. Data were collected using documentation, testing, non-testing, questionnaire, and observation. The data were analyzed descriptively. The findings of this research indicate that: (1) PKBKL model has met the criteria of the operation of a learning model namely: syntax, social system, principles of reaction, support system, as well as instructional and nurturing effects, (2) PKBKL model is a valid, practical, and effective model, (3) the practicality of the learning devices (RPP), is at the high category. Based on the research results, there are two things recommended: (1) in order that learning stages (syntax) of PKBKL model can be performed well, then teachers need to have an understanding of the cooperative learning model of Student Team Achievement Division (STAD) type and the concepts of scientifically approach well, (2) PKBKL model can be performed well on physical education, sport and health learning, if the teachers understand the concept of Tri Pramana, therefore if the physical education, sport and health teachers want to apply this PKBKL model, they must first learn and master the concept of Tri Pramana well.
NASA Astrophysics Data System (ADS)
Norlina, M. S.; Diyana, M. S. Nor; Mazidah, P.; Rusop, M.
2016-07-01
In the RF magnetron sputtering process, the desirable layer properties are largely influenced by the process parameters and conditions. If the quality of the thin film has not reached up to its intended level, the experiments have to be repeated until the desirable quality has been met. This research is proposing Gravitational Search Algorithm (GSA) as the optimization model to reduce the time and cost to be spent in the thin film fabrication. The optimization model's engine has been developed using Java. The model is developed based on GSA concept, which is inspired by the Newtonian laws of gravity and motion. In this research, the model is expected to optimize four deposition parameters which are RF power, deposition time, oxygen flow rate and substrate temperature. The results have turned out to be promising and it could be concluded that the performance of the model is satisfying in this parameter optimization problem. Future work could compare GSA with other nature based algorithms and test them with various set of data.
Hot news recommendation system from heterogeneous websites based on bayesian model.
Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang
2014-01-01
The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.
Hot News Recommendation System from Heterogeneous Websites Based on Bayesian Model
Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang
2014-01-01
The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results. PMID:25093207
Construction of dynamic stochastic simulation models using knowledge-based techniques
NASA Technical Reports Server (NTRS)
Williams, M. Douglas; Shiva, Sajjan G.
1990-01-01
Over the past three decades, computer-based simulation models have proven themselves to be cost-effective alternatives to the more structured deterministic methods of systems analysis. During this time, many techniques, tools and languages for constructing computer-based simulation models have been developed. More recently, advances in knowledge-based system technology have led many researchers to note the similarities between knowledge-based programming and simulation technologies and to investigate the potential application of knowledge-based programming techniques to simulation modeling. The integration of conventional simulation techniques with knowledge-based programming techniques is discussed to provide a development environment for constructing knowledge-based simulation models. A comparison of the techniques used in the construction of dynamic stochastic simulation models and those used in the construction of knowledge-based systems provides the requirements for the environment. This leads to the design and implementation of a knowledge-based simulation development environment. These techniques were used in the construction of several knowledge-based simulation models including the Advanced Launch System Model (ALSYM).
Spaceflight Nutrition Research: Platforms and Analogs
NASA Technical Reports Server (NTRS)
Smith, Scott M.; Uchakin, Peter N.; Tobin, Brian W.
2002-01-01
Understanding human adaptation to weightlessness requires research in either the true microgravity environment or iii a ground-based model. Over the years, many flight platforms have been available, and many ground models have emerged for both human and animal studies of the effects of spaceflight on physiology. In this review, we provide a brief description of these models and the main points to be considered when choosing a model. We do not intend to provide a comprehensive overview of each platform or model, but rather to provide the reader with an overview of the options available for space nutrition research, and the relative merits and/or drawbacks of each.
FlyBase portals to human disease research using Drosophila models.
Millburn, Gillian H; Crosby, Madeline A; Gramates, L Sian; Tweedie, Susan
2016-03-01
The use of Drosophila melanogaster as a model for studying human disease is well established, reflected by the steady increase in both the number and proportion of fly papers describing human disease models in recent years. In this article, we highlight recent efforts to improve the availability and accessibility of the disease model information in FlyBase (http://flybase.org), the model organism database for Drosophila. FlyBase has recently introduced Human Disease Model Reports, each of which presents background information on a specific disease, a tabulation of related disease subtypes, and summaries of experimental data and results using fruit flies. Integrated presentations of relevant data and reagents described in other sections of FlyBase are incorporated into these reports, which are specifically designed to be accessible to non-fly researchers in order to promote collaboration across model organism communities working in translational science. Another key component of disease model information in FlyBase is that data are collected in a consistent format --- using the evolving Disease Ontology (an open-source standardized ontology for human-disease-associated biomedical data) - to allow robust and intuitive searches. To facilitate this, FlyBase has developed a dedicated tool for querying and navigating relevant data, which include mutations that model a disease and any associated interacting modifiers. In this article, we describe how data related to fly models of human disease are presented in individual Gene Reports and in the Human Disease Model Reports. Finally, we discuss search strategies and new query tools that are available to access the disease model data in FlyBase. © 2016. Published by The Company of Biologists Ltd.
MEMOSys: Bioinformatics platform for genome-scale metabolic models
2011-01-01
Background Recent advances in genomic sequencing have enabled the use of genome sequencing in standard biological and biotechnological research projects. The challenge is how to integrate the large amount of data in order to gain novel biological insights. One way to leverage sequence data is to use genome-scale metabolic models. We have therefore designed and implemented a bioinformatics platform which supports the development of such metabolic models. Results MEMOSys (MEtabolic MOdel research and development System) is a versatile platform for the management, storage, and development of genome-scale metabolic models. It supports the development of new models by providing a built-in version control system which offers access to the complete developmental history. Moreover, the integrated web board, the authorization system, and the definition of user roles allow collaborations across departments and institutions. Research on existing models is facilitated by a search system, references to external databases, and a feature-rich comparison mechanism. MEMOSys provides customizable data exchange mechanisms using the SBML format to enable analysis in external tools. The web application is based on the Java EE framework and offers an intuitive user interface. It currently contains six annotated microbial metabolic models. Conclusions We have developed a web-based system designed to provide researchers a novel application facilitating the management and development of metabolic models. The system is freely available at http://www.icbi.at/MEMOSys. PMID:21276275
NASA Astrophysics Data System (ADS)
Yang, F.; Dong, Z. H.; Ye, X.
2018-05-01
Currently, space robots have been become a very important means of space on-orbit maintenance and support. Many countries are taking deep research and experiment on this. Because space operation attitude is very complicated, it is difficult to model them in research lab. This paper builds up a complete equivalent experiment framework according to the requirement of proposed space soft-contact technology. Also, this paper carries out flexible multi-body dynamics parameters verification for on-orbit soft-contact mechanism, which combines on-orbit experiment data, the built soft-contact mechanism equivalent model and flexible multi-body dynamics equivalent model that is based on KANE equation. The experiment results approve the correctness of the built on-orbit soft-contact flexible multi-body dynamics.
A Primer for Agent-Based Simulation and Modeling in Transportation Applications
DOT National Transportation Integrated Search
2013-11-01
Agent-based modeling and simulation (ABMS) methods have been applied in a spectrum of research domains. This primer focuses on ABMS in the transportation interdisciplinary domain, describes the basic concepts of ABMS and the recent progress of ABMS i...
NASA Astrophysics Data System (ADS)
Jadhav, J. R.; Mantha, S. S.; Rane, S. B.
2015-06-01
The demands for automobiles increased drastically in last two and half decades in India. Many global automobile manufacturers and Tier-1 suppliers have already set up research, development and manufacturing facilities in India. The Indian automotive component industry started implementing Lean practices to fulfill the demand of these customers. United Nations Industrial Development Organization (UNIDO) has taken proactive approach in association with Automotive Component Manufacturers Association of India (ACMA) and the Government of India to assist Indian SMEs in various clusters since 1999 to make them globally competitive. The primary objectives of this research are to study the UNIDO-ACMA Model as well as ISM Model of Lean implementation and validate the ISM Model by comparing with UNIDO-ACMA Model. It also aims at presenting a roadmap for Lean implementation in Indian automotive component industry. This paper is based on secondary data which include the research articles, web articles, doctoral thesis, survey reports and books on automotive industry in the field of Lean, JIT and ISM. ISM Model for Lean practice bundles was developed by authors in consultation with Lean practitioners. The UNIDO-ACMA Model has six stages whereas ISM Model has eight phases for Lean implementation. The ISM-based Lean implementation model is validated through high degree of similarity with UNIDO-ACMA Model. The major contribution of this paper is the proposed ISM Model for sustainable Lean implementation. The ISM-based Lean implementation framework presents greater insight of implementation process at more microlevel as compared to UNIDO-ACMA Model.
ERIC Educational Resources Information Center
Moore, Sean D.; Teter, Ken
2014-01-01
Undergraduate research clearly enriches the educational development of participating students, but these experiences are limited by the inherent inefficiency of the standard one student-one mentor model for undergraduate research. Group-effort applied research (GEAR) was developed as a strategy to provide substantial numbers of undergraduates with…
Sea spray aerosol fluxes in the Baltic Sea region: Comparison of the WAM model with measurements
NASA Astrophysics Data System (ADS)
Markuszewski, Piotr; Kosecki, Szymon; Petelski, Tomasz
2017-08-01
Sea spray aerosol flux is an important element of sub-regional climate modeling. The majority of works related to this topic concentrate on open ocean research rather than on smaller, inland seas, e.g., the Baltic Sea. The Baltic Sea is one of the largest brackish inland seas by area, where major inflows of oceanic waters are rare. Furthermore, surface waves in the Baltic Sea have a relatively shorter lifespan in comparison with oceanic waves. Therefore, emission of sea spray aerosol may differ greatly from what is known from oceanic research and should be investigated. This article presents a comparison of sea spray aerosol measurements carried out on-board the s/y Oceania research ship with data calculated in accordance to the WAM model. The measurements were conducted in the southern region of the Baltic Sea during four scientific cruises. The gradient method was used to determinate aerosol fluxes. The fluxes were calculated for particles of diameter in range of 0.5-47 μm. The correlation between wind speed measured and simulated has a good agreement (correlation in range of 0.8). The comparison encompasses three different sea spray generation models. First, function proposed by Massel (2006) which is based only on wave parameters, such as significant wave height and peak frequency. Second, Callaghan (2013) which is based on Gong (2003) model (wind speed relation), and a thorough experimental analysis of whitecaps. Third, Petelski et al. (2014) which is based on in-situ gradient measurements with the function dependent on wind speed. The two first models which based on whitecaps analysis are insufficient. Moreover, the research shows strong relation between aerosol emission and wind speed history.
Discriminative feature-rich models for syntax-based machine translation.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dixon, Kevin R.
This report describes the campus executive LDRD %E2%80%9CDiscriminative Feature-Rich Models for Syntax-Based Machine Translation,%E2%80%9D which was an effort to foster a better relationship between Sandia and Carnegie Mellon University (CMU). The primary purpose of the LDRD was to fund the research of a promising graduate student at CMU; in this case, Kevin Gimpel was selected from the pool of candidates. This report gives a brief overview of Kevin Gimpel's research.
Work stress, role conflict, social support, and psychological burnout among teachers.
Burke, R J; Greenglass, E
1993-10-01
This study examined a research model developed to understand psychological burnout among school-based educators. Data were collected from 833 school-based educators using questionnaires completed anonymously. Four groups of predictor variables identified in previous research were considered: individual demographic and situational variables, work stressors, role conflict, and social support. Some support for the model was found. Work stressors were strong predictors of psychological burnout. Individual demographic characteristics, role conflict, and social support had little effect on psychological burnout.
ERIC Educational Resources Information Center
Ghanem, Eman; Long, S. Reid; Rodenbusch, Stacia E.; Shear, Ruth I.; Beckham, Josh T.; Procko, Kristen; DePue, Lauren; Stevenson, Keith J.; Robertus, Jon D.; Martin, Stephen; Holliday, Bradley; Jones, Richard A.; Anslyn, Eric V.; Simmons, Sarah L.
2018-01-01
Innovative models of teaching through research have broken the long-held paradigm that core chemistry competencies must be taught with predictable, scripted experiments. We describe here five fundamentally different, course-based undergraduate research experiences that integrate faculty research projects, accomplish ACS accreditation objectives,…
Managing the Research Function of the University: Pressures and Dilemmas
ERIC Educational Resources Information Center
Mintrom, Michael
2008-01-01
How should universities manage their research function? Today, research-based knowledge is viewed widely as fundamental to economic advancement. As a result, universities everywhere are facing pressure to rethink their research activities. A general model of the research process is presented here. Linkages are drawn between that process, other…
Current progress in patient-specific modeling
2010-01-01
We present a survey of recent advancements in the emerging field of patient-specific modeling (PSM). Researchers in this field are currently simulating a wide variety of tissue and organ dynamics to address challenges in various clinical domains. The majority of this research employs three-dimensional, image-based modeling techniques. Recent PSM publications mostly represent feasibility or preliminary validation studies on modeling technologies, and these systems will require further clinical validation and usability testing before they can become a standard of care. We anticipate that with further testing and research, PSM-derived technologies will eventually become valuable, versatile clinical tools. PMID:19955236
NASA Astrophysics Data System (ADS)
Yerizon; Jazwinarti; Yarman
2018-01-01
Students have difficulties experience in the course Introduction to Operational Research (PRO). The purpose of this study is to analyze the requirement of students in the developing lecturing materials PRO based Problem Based Learning which is valid, practice, and effective. Lecture materials are developed based on Plomp’s model. The development process of this device consists of 3 phases: front-end analysis/preliminary research, development/prototype phase and assessment phase. Preliminary analysis was obtained by observation and interview. From the research, it is found that students need the student’s worksheet (LKM) for several reasons: 1) no LKM available, 2) presentation of subject not yet based on real problem, 3) experiencing difficulties from current learning source.
Theory-based interventions for contraception.
Lopez, Laureen M; Tolley, Elizabeth E; Grimes, David A; Chen-Mok, Mario
2011-03-16
The explicit use of theory in research helps expand the knowledge base. Theories and models have been used extensively in HIV-prevention research and in interventions for preventing sexually transmitted infections (STIs). The health behavior field uses many theories or models of change. However, educational interventions addressing contraception often have no stated theoretical base. Review randomized controlled trials (RCTs) that tested a theoretical approach to inform contraceptive choice; encourage contraceptive use; or promote adherence to, or continuation of, a contraceptive regimen. We searched computerized databases for trials that tested a theory-based intervention for improving contraceptive use (MEDLINE, POPLINE, CENTRAL, PsycINFO, EMBASE, ClinicalTrials.gov, and ICTRP). We also wrote to researchers to find other trials. Trials tested a theory-based intervention for improving contraceptive use. We excluded trials focused on high-risk groups and preventing sexually transmitted infections or HIV. Interventions addressed the use of one or more contraceptive methods for contraception. The reports provided evidence that the intervention was based on a specific theory or model. The primary outcomes were pregnancy, contraceptive choice, initiating or changing contraceptive use, contraceptive regimen adherence, and contraception continuation. The primary author evaluated abstracts for eligibility. Two authors extracted data from included studies. We calculated the odds ratio for dichotomous outcomes. No meta-analysis was conducted due to intervention differences. Fourteen RCTs met our inclusion criteria. In 2 of 10 trials with pregnancy or birth data, a theory-based group showed better results. Four of 10 trials with contraceptive use data (other than condoms) showed better outcomes in an experimental group. For condom use, a theory-based group had favorable results in three of eight trials. Social Cognitive Theory was the main theoretical basis for five trials, of which three showed positive results. Two based on other social cognition models had favorable results, as did two of four focused on motivational interviewing. Thirteen trials provided multiple sessions or contacts. Of seven effective interventions, five targeted adolescents, including four with group sessions. Three effective trials had individual sessions. Seven trials were rated as having high or moderate quality; three of those had favorable results. Family planning researchers and practitioners could adapt the effective interventions. Reproductive health needs high-quality research on behavior change, especially for clinical and low-resource settings. More thorough use of single theories would help, as would better reporting on research design and intervention implementation.
Reflections on governance models for the clinical translation of stem cells.
Sugarman, Jeremy
2010-01-01
Governance models for the oversight of human embryonic stem cell research have been proposed which mirror in large part familiar oversight mechanisms for research with human subjects and non-human animals. While such models are in principle readily endorsable, there are a set of concerns related to their implementation--such as ensuring that an elaborated informed consent process and conducting long-term monitoring of research subjects are tenable--which suggest areas where gathering data may facilitate more appropriate oversight. In addition, it is unclear whether a new governance model based at individual institutions are sufficient to address the ethical issues inherent to this research. Regardless, some of the concerns that have arisen in considering the appropriate governance of stem cell research, particularly the important translational pathway of innovation in contrast to staged research, transparency and publication, and social justice, may be useful in science and translational research more broadly.
ERIC Educational Resources Information Center
Yurt, Eyup; Sunbul, Ali Murat
2012-01-01
In this study, the effect of modeling based activities using virtual environments and concrete objects on spatial thinking and mental rotation skills was investigated. The study was designed as a pretest-posttest model with a control group, which is one of the experimental research models. The study was carried out on sixth grade students…
ERIC Educational Resources Information Center
Jewpanich, Chaiwat; Piriyasurawong, Pallop
2015-01-01
This research aims to 1) develop the project-based learning using discussion and lesson-learned methods via social media model (PBL-DLL SoMe Model) used for enhancing problem solving skills of undergraduate in education student, and 2) evaluate the PBL-DLL SoMe Model used for enhancing problem solving skills of undergraduate in education student.…
TMOC: A Model for Lecturers' Training to Management of Online Courses in Higher-Education
ERIC Educational Resources Information Center
Ghilay, Yaron; Ghilay, Ruth
2014-01-01
The study examined a new model called TMOC: Training to Management of Online Courses. The model is designed to train lecturers in higher-education to successfully create, deliver and develop online courses. The research was based on a sample of lecturers, who studied in a course based on the new model at the Mofet Institute in Tel-Aviv (n = 20).…
Improvement and extension of a radar forest backscattering model
NASA Technical Reports Server (NTRS)
Simonett, David S.; Wang, Yong
1988-01-01
Research to-date has focused on modeling development and programming based on model components proposed during the past several months and research progress made by the Simonett team. The model components and programs (in C language under UNIX) finished to date are summarized. These model components may help explain the contributions of various vegetation structural components to the attenuation and backscattering of vegetated surfaces to extract useful data concerning forest stands and their underlying surfaces for both the seawater-on and seawater-off.
Weather Research and Forecasting Model Wind Sensitivity Study at Edwards Air Force Base, CA
NASA Technical Reports Server (NTRS)
Watson, Leela R.; Bauman, William H., III; Hoeth, Brian
2009-01-01
This abstract describes work that will be done by the Applied Meteorology Unit (AMU) in assessing the success of different model configurations in predicting "wind cycling" cases at Edwards Air Force Base, CA (EAFB), in which the wind speeds and directions oscillate among towers near the EAFB runway. The Weather Research and Forecasting (WRF) model allows users to choose among two dynamical cores - the Advanced Research WRF (ARW) and the Non-hydrostatic Mesoscale Model (NMM). There are also data assimilation analysis packages available for the initialization of the WRF model - the Local Analysis and Prediction System (LAPS) and the Advanced Regional Prediction System (ARPS) Data Analysis System (ADAS). Having a series of initialization options and WRF cores, as well as many options within each core, creates challenges for local forecasters, such as determining which configuration options are best to address specific forecast concerns. The goal of this project is to assess the different configurations available and determine which configuration will best predict surface wind speed and direction at EAFB.
Short-Term Forecasts Using NU-WRF for the Winter Olympics 2018
NASA Technical Reports Server (NTRS)
Srikishen, Jayanthi; Case, Jonathan L.; Petersen, Walter A.; Iguchi, Takamichi; Tao, Wei-Kuo; Zavodsky, Bradley T.; Molthan, Andrew
2017-01-01
The NASA Unified-Weather Research and Forecasting model (NU-WRF) will be included for testing and evaluation in the forecast demonstration project (FDP) of the International Collaborative Experiment -PyeongChang 2018 Olympic and Paralympic (ICE-POP) Winter Games. An international array of radar and supporting ground based observations together with various forecast and now-cast models will be operational during ICE-POP. In conjunction with personnel from NASA's Goddard Space Flight Center, the NASA Short-term Prediction Research and Transition (SPoRT) Center is developing benchmark simulations for a real-time NU-WRF configuration to run during the FDP. ICE-POP observational datasets will be used to validate model simulations and investigate improved model physics and performance for prediction of snow events during the research phase (RDP) of the project The NU-WRF model simulations will also support NASA Global Precipitation Measurement (GPM) Mission ground-validation physical and direct validation activities in relation to verifying, testing and improving satellite-based snowfall retrieval algorithms over complex terrain.
Amin, Waqas; Singh, Harpreet; Pople, Andre K.; Winters, Sharon; Dhir, Rajiv; Parwani, Anil V.; Becich, Michael J.
2010-01-01
Context: Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. Design: Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. Result: The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. Conclusion: These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems. PMID:20922029
Amin, Waqas; Singh, Harpreet; Pople, Andre K; Winters, Sharon; Dhir, Rajiv; Parwani, Anil V; Becich, Michael J
2010-08-10
Tissue banking informatics deals with standardized annotation, collection and storage of biospecimens that can further be shared by researchers. Over the last decade, the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh has developed various tissue banking informatics tools to expedite translational medicine research. In this review, we describe the technical approach and capabilities of these models. Clinical annotation of biospecimens requires data retrieval from various clinical information systems and the de-identification of the data by an honest broker. Based upon these requirements, DBMI, with its collaborators, has developed both Oracle-based organ-specific data marts and a more generic, model-driven architecture for biorepositories. The organ-specific models are developed utilizing Oracle 9.2.0.1 server tools and software applications and the model-driven architecture is implemented in a J2EE framework. The organ-specific biorepositories implemented by DBMI include the Cooperative Prostate Cancer Tissue Resource (http://www.cpctr.info/), Pennsylvania Cancer Alliance Bioinformatics Consortium (http://pcabc.upmc.edu/main.cfm), EDRN Colorectal and Pancreatic Neoplasm Database (http://edrn.nci.nih.gov/) and Specialized Programs of Research Excellence (SPORE) Head and Neck Neoplasm Database (http://spores.nci.nih.gov/current/hn/index.htm). The model-based architecture is represented by the National Mesothelioma Virtual Bank (http://mesotissue.org/). These biorepositories provide thousands of well annotated biospecimens for the researchers that are searchable through query interfaces available via the Internet. These systems, developed and supported by our institute, serve to form a common platform for cancer research to accelerate progress in clinical and translational research. In addition, they provide a tangible infrastructure and resource for exposing research resources and biospecimen services in collaboration with the clinical anatomic pathology laboratory information system (APLIS) and the cancer registry information systems.
NASA Astrophysics Data System (ADS)
Nogueira, Juan Manuel; Romero, David; Espadas, Javier; Molina, Arturo
2013-02-01
With the emergence of new enterprise models, such as technology-based enterprises, and the large quantity of information generated through technological advances, the Zachman framework continues to represent a modelling tool of great utility and value to construct an enterprise architecture (EA) that can integrate and align the IT infrastructure and business goals. Nevertheless, implementing an EA requires an important effort within an enterprise. Small technology-based enterprises and start-ups can take advantage of EAs and frameworks but, because these enterprises have limited resources to allocate for this task, an enterprise framework implementation is not feasible in most cases. This article proposes a new methodology based on action-research for the implementation of the business, system and technology models of the Zachman framework to assist and facilitate its implementation. Following the explanation of cycles of the proposed methodology, a case study is presented to illustrate the results of implementing the Zachman framework in a technology-based enterprise: PyME CREATIVA, using action-research approach.
Analytical Calculation of Sensing Parameters on Carbon Nanotube Based Gas Sensors
Akbari, Elnaz; Buntat, Zolkafle; Ahmad, Mohd Hafizi; Enzevaee, Aria; Yousof, Rubiyah; Iqbal, Syed Muhammad Zafar; Ahmadi, Mohammad Taghi.; Sidik, Muhammad Abu Bakar; Karimi, Hediyeh
2014-01-01
Carbon Nanotubes (CNTs) are generally nano-scale tubes comprising a network of carbon atoms in a cylindrical setting that compared with silicon counterparts present outstanding characteristics such as high mechanical strength, high sensing capability and large surface-to-volume ratio. These characteristics, in addition to the fact that CNTs experience changes in their electrical conductance when exposed to different gases, make them appropriate candidates for use in sensing/measuring applications such as gas detection devices. In this research, a model for a Field Effect Transistor (FET)-based structure has been developed as a platform for a gas detection sensor in which the CNT conductance change resulting from the chemical reaction between NH3 and CNT has been employed to model the sensing mechanism with proposed sensing parameters. The research implements the same FET-based structure as in the work of Peng et al. on nanotube-based NH3 gas detection. With respect to this conductance change, the I–V characteristic of the CNT is investigated. Finally, a comparative study shows satisfactory agreement between the proposed model and the experimental data from the mentioned research. PMID:24658617
NASA Technical Reports Server (NTRS)
Saleeb, A. F.; Arnold, Steven M.
2001-01-01
Since most advanced material systems (for example metallic-, polymer-, and ceramic-based systems) being currently researched and evaluated are for high-temperature airframe and propulsion system applications, the required constitutive models must account for both reversible and irreversible time-dependent deformations. Furthermore, since an integral part of continuum-based computational methodologies (be they microscale- or macroscale-based) is an accurate and computationally efficient constitutive model to describe the deformation behavior of the materials of interest, extensive research efforts have been made over the years on the phenomenological representations of constitutive material behavior in the inelastic analysis of structures. From a more recent and comprehensive perspective, the NASA Glenn Research Center in conjunction with the University of Akron has emphasized concurrently addressing three important and related areas: that is, 1) Mathematical formulation; 2) Algorithmic developments for updating (integrating) the external (e.g., stress) and internal state variables; 3) Parameter estimation for characterizing the model. This concurrent perspective to constitutive modeling has enabled the overcoming of the two major obstacles to fully utilizing these sophisticated time-dependent (hereditary) constitutive models in practical engineering analysis. These obstacles are: 1) Lack of efficient and robust integration algorithms; 2) Difficulties associated with characterizing the large number of required material parameters, particularly when many of these parameters lack obvious or direct physical interpretations.
NASA Astrophysics Data System (ADS)
He, G.; Zhu, H.; Xu, J.; Gao, K.; Zhu, D.
2017-09-01
The bionic research of shape is an important aspect of the research on bionic robot, and its implementation cannot be separated from the shape modeling and numerical simulation of the bionic object, which is tedious and time-consuming. In order to improve the efficiency of shape bionic design, the feet of animals living in soft soil and swamp environment are taken as bionic objects, and characteristic skeleton curve, section curve, joint rotation variable, position and other parameters are used to describe the shape and position information of bionic object’s sole, toes and flipper. The geometry modeling of the bionic object is established by using the parameterization of characteristic curves and variables. Based on this, the integration framework of parametric modeling and finite element modeling, dynamic analysis and post-processing of sinking process in soil is proposed in this paper. The examples of bionic ostrich foot and bionic duck foot are also given. The parametric modeling and integration technique can achieve rapid improved design based on bionic object, and it can also greatly improve the efficiency and quality of robot foot bionic design, and has important practical significance to improve the level of bionic design of robot foot’s shape and structure.
Loizzo, Joseph J
2016-06-01
Meditation research has begun to clarify the brain effects and mechanisms of contemplative practices while generating a range of typologies and explanatory models to guide further study. This comparative review explores a neglected area relevant to current research: the validity of a traditional central nervous system (CNS) model that coevolved with the practices most studied today and that provides the first comprehensive neural-based typology and mechanistic framework of contemplative practices. The subtle body model, popularly known as the chakra system from Indian yoga, was and is used as a map of CNS function in traditional Indian and Tibetan medicine, neuropsychiatry, and neuropsychology. The study presented here, based on the Nalanda tradition, shows that the subtle body model can be cross-referenced with modern CNS maps and challenges modern brain maps with its embodied network model of CNS function. It also challenges meditation research by: (1) presenting a more rigorous, neural-based typology of contemplative practices; (2) offering a more refined and complete network model of the mechanisms of contemplative practices; and (3) serving as an embodied, interoceptive neurofeedback aid that is more user friendly and complete than current teaching aids for clinical and practical applications of contemplative practice. © 2016 New York Academy of Sciences.
Re-thinking organisms: The impact of databases on model organism biology.
Leonelli, Sabina; Ankeny, Rachel A
2012-03-01
Community databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. We conclude that the increasing reliance on community databases as vehicles to circulate data is having a major impact on how researchers conduct and communicate their research, which affects how they understand the biology of model organisms and its relation to the biology of other species. Copyright © 2011 Elsevier Ltd. All rights reserved.
INDIVIDUAL-BASED MODELS: POWERFUL OR POWER STRUGGLE?
Willem, L; Stijven, S; Hens, N; Vladislavleva, E; Broeckhove, J; Beutels, P
2015-01-01
Individual-based models (IBMs) offer endless possibilities to explore various research questions but come with high model complexity and computational burden. Large-scale IBMs have become feasible but the novel hardware architectures require adapted software. The increased model complexity also requires systematic exploration to gain thorough system understanding. We elaborate on the development of IBMs for vaccine-preventable infectious diseases and model exploration with active learning. Investment in IBM simulator code can lead to significant runtime reductions. We found large performance differences due to data locality. Sorting the population once, reduced simulation time by a factor two. Storing person attributes separately instead of using person objects also seemed more efficient. Next, we improved model performance up to 70% by structuring potential contacts based on health status before processing disease transmission. The active learning approach we present is based on iterative surrogate modelling and model-guided experimentation. Symbolic regression is used for nonlinear response surface modelling with automatic feature selection. We illustrate our approach using an IBM for influenza vaccination. After optimizing the parameter spade, we observed an inverse relationship between vaccination coverage and the clinical attack rate reinforced by herd immunity. These insights can be used to focus and optimise research activities, and to reduce both dimensionality and decision uncertainty.
ERIC Educational Resources Information Center
Sripongwiwat, Supathida; Bunterm, Tassanee; Srisawat, Niwat; Tang, Keow Ngang
2016-01-01
The aim of this study was to examine the effect, after intervention on both experimental and control groups, of constructionism and neurocognitive-based teaching model, and conventional teaching model, on the science learning outcomes and creative thinking of Grade 11 students. The researchers developed a constructionism and neurocognitive-based…
ERIC Educational Resources Information Center
Pozo, Pablo; Grao-Cruces, Alberto; Pérez-Ordás, Raquel
2018-01-01
The purpose of this study was to conduct a review of research on the Teaching Personal and Social Responsibility model-based programme within physical education. Papers selected for analysis were found through searches of Web of Science, SportDiscus (EBSCO), SCOPUS, and ERIC (ProQuest) databases. The keywords "responsibility model" and…
ERIC Educational Resources Information Center
Zangori, Laura; Forbes, Cory T.; Schwarz, Christina V.
2015-01-01
Opportunities to generate model-based explanations are crucial for elementary students, yet are rarely foregrounded in elementary science learning environments despite evidence that early learners can reason from models when provided with scaffolding. We used a quasi-experimental research design to investigate the comparative impact of a scaffold…
ERIC Educational Resources Information Center
Cheriani, Cheriani; Mahmud, Alimuddin; Tahmir, Suradi; Manda, Darman; Dirawan, Gufran Darma
2015-01-01
This study aims to determine the differences in learning output by using Problem Based Model combines with the "Buginese" Local Cultural Knowledge (PBL-Culture). It is also explores the students activities in learning mathematics subject by using PBL-Culture Models. This research is using Mixed Methods approach that combined quantitative…
Individual-based model formulation for cutthroat trout, Little Jones Creek, California
Steven F. Railsback; Bret C. Harvey
2001-01-01
This report contains the detailed formulation of an individual-based model (IBM) of cutthroat trout developed for three study sites on Little Jones Creek, Del Norte County, in northwestern California. The model was designed to support research on relations between habitat and fish population dynamics, the importance of small tributaries to trout populations, and the...
Prevent-Teach-Reinforce: The School-Based Model of Individualized Positive Behavior Support
ERIC Educational Resources Information Center
Dunlap, Glen; Iovannone, Rose; Kincaid, Donald; Wilson, Kelly; Christiansen, Kathy; Strain, Phillip; English, Carie
2010-01-01
Solve serious behavior challenges in K-8 classrooms with this easy-to-use book, the first practical guide to the research-proven Prevent-Teach-Reinforce (PTR) model. Developed by some of the most respected authorities on positive behavior support, this innovative model gives school-based teams a five-step plan for reducing problems unresolved by…
Learning in Structured Connectionist Networks
1988-04-01
the structure is too rigid and learning too difficult for cognitive modeling. Two algorithms for learning simple, feature-based concept descriptions...and learning too difficult for cognitive model- ing. Two algorithms for learning simple, feature-based concept descriptions were also implemented. The...Term Goals Recent progress in connectionist research has been encouraging; networks have success- fully modeled human performance for various cognitive
ERIC Educational Resources Information Center
Derlina; Sabani; Mihardi, Satria
2015-01-01
Education Research in Indonesia has begun to lead to the development of character education and is no longer fixated on the outcomes of cognitive learning. This study purposed to produce character education based general physics learning model (CEBGP Learning Model) and with valid, effective and practical peripheral devices to improve character…
Thresholds and Targeting Actions Research
The project will implement novel field and laboratory-based studies, state-of-the-art modeling, and other research syntheses toward these goals and toward decreasing scientific uncertainty related to nutrient management. The key research areas involve improved nutrient indicator ...
Kim, Sun-Ae; Song, Youngshin; Sim, Hee-Sook; Ahn, Eun-Kyong; Kim, Jung-Hee
2015-01-01
Despite the importance of critical thinking in clinical and educational settings, little is known about its role in evidence-based practice (EBP). This study examined whether critical thinking disposition (CTD) mediates the relationship between perceived barriers to research use and EBP in clinical nurses (N=409). A path diagram using structural equation modeling was used to estimate the direct and indirect effects of perceived barriers to research use on EBP, controlling for CTD as a mediator. CTD partially mediated the relationship between perceived barriers to research use and EBP. Furthermore, the hypothesized mediation model demonstrated an appropriate fit to the data. Individual and organizational efforts are needed to help nurses further improve their critical thinking skills. CTD is important as research barriers to engage effectively in EBP. Without the skills to evaluate evidence carefully, research utilization may be compromised.
Macfarlane, Fraser; Shaw, Sara; Greenhalgh, Trisha; Carter, Yvonne H
2005-06-01
An increasing proportion of research in primary care is locally undertaken in designated research practices. Capacity building to support high quality research at these grass roots is urgently needed and is a government priority. There is little previously published research on the process by which GP practices develop as research organizations or on their specific support needs at organizational level. Using in-depth qualitative interviews with 28 key informants in 11 research practices across the UK, we explored their historical accounts of the development of research activity. We analysed the data with reference to contemporary theories of organizational development. Participants identified a number of key events and processes, which allowed us to produce a five-phase model of practice development in relation to research activity (creative energy, concrete planning, transformation/differentiation, consolidation and collaboration). Movement between these phases was not linear or continuous, but showed emergent and adaptive properties in which specific triggers and set-backs were often critical. This developmental model challenges previous categorical taxonomies of research practices. It forms a theory-driven framework for providing appropriate support at the grass roots of primary care research, based on the practice's phase of development and the nature of external triggers and potential setbacks. Our findings have important implications for the strategic development of practice-based research in the UK, and could serve as a model for the wider international community.
NASA Astrophysics Data System (ADS)
Galvin, James J., Jr.
The National Aeronautics and Space Administration (NASA) is leading a research effort to develop a Small Aircraft Transportation System (SATS) that will expand air transportation capabilities to hundreds of underutilized airports in the United States. Most of the research effort addresses the technological development of the small aircraft as well as the systems to manage airspace usage and surface activities at airports. The Federal Aviation Administration (FAA) will also play a major role in the successful implementation of SATS, however, the administration is reluctant to embrace the unproven concept. The purpose of the research presented in this dissertation is to determine if the FAA can pursue a resource management strategy that will support the current radar-based Air Traffic Control (ATC) system as well as a Global Positioning Satellite (GPS)-based ATC system required by the SATS. The research centered around the use of the System Dynamics modeling methodology to determine the future behavior of the principle components of the ATC system over time. The research included a model of the ATC system consisting of people, facilities, equipment, airports, aircraft, the FAA budget, and the Airport and Airways Trust Fund. The model generated system performance behavior used to evaluate three scenarios. The first scenario depicted the base case behavior of the system if the FAA continued its current resource management practices. The second scenario depicted the behavior of the system if the FAA emphasized development of GPS-based ATC systems. The third scenario depicted a combined resource management strategy that supplemented radar systems with GPS systems. The findings of the research were that the FAA must pursue a resource management strategy that primarily funds a radar-based ATC system and directs lesser funding toward a GPS-based supplemental ATC system. The most significant contribution of this research was the insight and understanding gained of how several resource management strategies and the presence of SATS aircraft may impact the future US Air Traffic Control system.
The FaceBase Consortium: A comprehensive program to facilitate craniofacial research
Hochheiser, Harry; Aronow, Bruce J.; Artinger, Kristin; Beaty, Terri H.; Brinkley, James F.; Chai, Yang; Clouthier, David; Cunningham, Michael L.; Dixon, Michael; Donahue, Leah Rae; Fraser, Scott E.; Hallgrimsson, Benedikt; Iwata, Junichi; Klein, Ophir; Marazita, Mary L.; Murray, Jeffrey C.; Murray, Stephen; de Villena, Fernando Pardo-Manuel; Postlethwait, John; Potter, Steven; Shapiro, Linda; Spritz, Richard; Visel, Axel; Weinberg, Seth M.; Trainor, Paul A.
2012-01-01
The FaceBase Consortium consists of ten interlinked research and technology projects whose goal is to generate craniofacial research data and technology for use by the research community through a central data management and integrated bioinformatics hub. Funded by the National Institute of Dental and Craniofacial Research (NIDCR) and currently focused on studying the development of the middle region of the face, the Consortium will produce comprehensive datasets of global gene expression patterns, regulatory elements and sequencing; will generate anatomical and molecular atlases; will provide human normative facial data and other phenotypes; conduct follow up studies of a completed genome-wide association study; generate independent data on the genetics of craniofacial development, build repositories of animal models and of human samples and data for community access and analysis; and will develop software tools and animal models for analyzing and functionally testing and integrating these data. The FaceBase website (http://www.facebase.org) will serve as a web home for these efforts, providing interactive tools for exploring these datasets, together with discussion forums and other services to support and foster collaboration within the craniofacial research community. PMID:21458441
Liu, Shiyong; Triantis, Konstantinos P; Zhao, Li; Wang, Youfa
2018-01-01
In practical research, it was found that most people made health-related decisions not based on numerical data but on perceptions. Examples include the perceptions and their corresponding linguistic values of health risks such as, smoking, syringe sharing, eating energy-dense food, drinking sugar-sweetened beverages etc. For the sake of understanding the mechanisms that affect the implementations of health-related interventions, we employ fuzzy variables to quantify linguistic variable in healthcare modeling where we employ an integrated system dynamics and agent-based model. In a nonlinear causal-driven simulation environment driven by feedback loops, we mathematically demonstrate how interventions at an aggregate level affect the dynamics of linguistic variables that are captured by fuzzy agents and how interactions among fuzzy agents, at the same time, affect the formation of different clusters(groups) that are targeted by specific interventions. In this paper, we provide an innovative framework to capture multi-stage fuzzy uncertainties manifested among interacting heterogeneous agents (individuals) and intervention decisions that affect homogeneous agents (groups of individuals) in a hybrid model that combines an agent-based simulation model (ABM) and a system dynamics models (SDM). Having built the platform to incorporate high-dimension data in a hybrid ABM/SDM model, this paper demonstrates how one can obtain the state variable behaviors in the SDM and the corresponding values of linguistic variables in the ABM. This research provides a way to incorporate high-dimension data in a hybrid ABM/SDM model. This research not only enriches the application of fuzzy set theory by capturing the dynamics of variables associated with interacting fuzzy agents that lead to aggregate behaviors but also informs implementation research by enabling the incorporation of linguistic variables at both individual and institutional levels, which makes unstructured linguistic data meaningful and quantifiable in a simulation environment. This research can help practitioners and decision makers to gain better understanding on the dynamics and complexities of precision intervention in healthcare. It can aid the improvement of the optimal allocation of resources for targeted group (s) and the achievement of maximum utility. As this technology becomes more mature, one can design policy flight simulators by which policy/intervention designers can test a variety of assumptions when they evaluate different alternatives interventions.
Shared Solutions: A Model for Researcher-Practitioner Partnerships
ERIC Educational Resources Information Center
Hill, Kirsten; Reitano, Adrienne; Kowalski, David
2016-01-01
The University of Pennsylvania's Graduate School of Education (Penn GSE), and the School District of Philadelphia (SDP), have a researcher-practitioner partnership called "Shared Solutions." They consider Shared Solutions to be a hybrid of the "place-based research alliances" and "design research teams" described by…
Goldenberg, Amit; Halperin, Eran; van Zomeren, Martijn; Gross, James J
2016-05-01
Scholars interested in emotion regulation have documented the different goals and strategies individuals have for regulating their emotions. However, little attention has been paid to the regulation of group-based emotions, which are based on individuals' self-categorization as a group member and occur in response to situations perceived as relevant for that group. We propose a model for examining group-based emotion regulation that integrates intergroup emotions theory and the process model of emotion regulation. This synergy expands intergroup emotion theory by facilitating further investigation of different goals (i.e., hedonic or instrumental) and strategies (e.g., situation selection and modification strategies) used to regulate group-based emotions. It also expands emotion regulation research by emphasizing the role of self-categorization (e.g., as an individual or a group member) in the emotional process. Finally, we discuss the promise of this theoretical synergy and suggest several directions for future research on group-based emotion regulation. © 2015 by the Society for Personality and Social Psychology, Inc.
Action Research on Development and Application of Internet of Things Services in Hospital.
Park, Arum; Chang, Hyejung; Lee, Kyoung Jun
2017-01-01
Services based on the Internet of Things (IoT) technologies have emerged in various business environments. To enhance health service quality and maximize benefits, this study applied an IoT technology based on NFC and iBeacon as an omni-channel service for patient care in hospitals. Application of the IoT technology based on NFC and iBeacon was conducted in a general hospital during August 2015 through June 2016, and the development and evaluation results were aligned to an action research framework. The five phases in the action research included diagnosing, planning action, taking action, evaluating action, and specifying learning phases. During the first two phases, problems of functional operations in a hospital were diagnosed and eight service models were designed by using iBeacon and NFC to solve the problems. Service models were applied to the hospital by installing beacons, wearable beacons, beacon scanners, and NFC tags during the third phase. During the fourth and fifth phases, the roles and benefits of stakeholders participating in the service models were evaluated, and issues and knowledge of the whole application process were derived and summarized from technological, economic, social and legal perspectives, respectively. From an action research perspective, IoT-based healthcare services were developed and verified. IoT-based services enable the hospital to acquire lifelog data for precision medicine and ultimately be able to go one step closer to precision medical care. The derived service models could provide patients more enhanced healthcare services and improve the work efficiency and effectiveness of the hospital.
Action Research on Development and Application of Internet of Things Services in Hospital
Park, Arum; Chang, Hyejung
2017-01-01
Objectives Services based on the Internet of Things (IoT) technologies have emerged in various business environments. To enhance health service quality and maximize benefits, this study applied an IoT technology based on NFC and iBeacon as an omni-channel service for patient care in hospitals. Methods Application of the IoT technology based on NFC and iBeacon was conducted in a general hospital during August 2015 through June 2016, and the development and evaluation results were aligned to an action research framework. The five phases in the action research included diagnosing, planning action, taking action, evaluating action, and specifying learning phases. Results During the first two phases, problems of functional operations in a hospital were diagnosed and eight service models were designed by using iBeacon and NFC to solve the problems. Service models were applied to the hospital by installing beacons, wearable beacons, beacon scanners, and NFC tags during the third phase. During the fourth and fifth phases, the roles and benefits of stakeholders participating in the service models were evaluated, and issues and knowledge of the whole application process were derived and summarized from technological, economic, social and legal perspectives, respectively. Conclusions From an action research perspective, IoT-based healthcare services were developed and verified. IoT-based services enable the hospital to acquire lifelog data for precision medicine and ultimately be able to go one step closer to precision medical care. The derived service models could provide patients more enhanced healthcare services and improve the work efficiency and effectiveness of the hospital. PMID:28261528
Implementing community-based provider participation in research: an empirical study.
Teal, Randall; Bergmire, Dawn M; Johnston, Matthew; Weiner, Bryan J
2012-05-08
Since 2003, the United States National Institutes of Health (NIH) has sought to restructure the clinical research enterprise in the United States by promoting collaborative research partnerships between academically-based investigators and community-based physicians. By increasing community-based provider participation in research (CBPPR), the NIH seeks to advance the science of discovery by conducting research in clinical settings where most people get their care, and accelerate the translation of research results into everyday clinical practice. Although CBPPR is seen as a promising strategy for promoting the use of evidence-based clinical services in community practice settings, few empirical studies have examined the organizational factors that facilitate or hinder the implementation of CBPPR. The purpose of this study is to explore the organizational start-up and early implementation of CBPPR in community-based practice. We used longitudinal, case study research methods and an organizational model of innovation implementation to theoretically guide our study. Our sample consisted of three community practice settings that recently joined the National Cancer Institute's (NCI) Community Clinical Oncology Program (CCOP) in the United States. Data were gathered through site visits, telephone interviews, and archival documents from January 2008 to May 2011. The organizational model for innovation implementation was useful in identifying and investigating the organizational factors influencing start-up and early implementation of CBPPR in CCOP organizations. In general, the three CCOP organizations varied in the extent to which they achieved consistency in CBPPR over time and across physicians. All three CCOP organizations demonstrated mixed levels of organizational readiness for change. Hospital management support and resource availability were limited across CCOP organizations early on, although they improved in one CCOP organization. As a result of weak IPPs, all three CCOPs created a weak implementation climate. Patient accrual became concentrated over time among those groups of physicians for whom CBPPR exhibited a strong innovation-values fit. Several external factors influenced innovation use, complicating and enriching our intra-organizational model of innovation implementation. Our results contribute to the limited body of research on the implementation of CBPPR. They inform policy discussions about increasing and sustaining community clinician involvement in clinical research and expand on theory about organizational determinants of implementation effectiveness.
Psychosocial Pain Management Moderation: The Limit, Activate, and Enhance Model.
Day, Melissa A; Ehde, Dawn M; Jensen, Mark P
2015-10-01
There is a growing emphasis in the pain literature on understanding the following second-order research questions: Why do psychosocial pain treatments work? For whom do various treatments work? This critical review summarizes research that addresses the latter question and proposes a moderation model to help guide future research. A theoretical moderation framework for matching individuals to specific psychosocial pain interventions has been lacking. However, several such frameworks have been proposed in the broad psychotherapy and implementation science literature. Drawing on these theories and adapting them specifically for psychosocial pain treatment, here we propose a Limit, Activate, and Enhance model of pain treatment moderation. This model is unique in that it includes algorithms not only for matching treatments on the basis of patient weaknesses but also for directing patients to interventions that build on their strengths. Critically, this model provides a basis for specific a priori hypothesis generation, and a selection of the possible hypotheses drawn from the model are proposed and discussed. Future research considerations are presented that could refine and expand the model based on theoretically driven empirical evidence. The Limit, Activate, and Enhance model presented here is a theoretically derived framework that provides an a priori basis for hypothesis generation regarding psychosocial pain treatment moderators. The model will advance moderation research via its unique focus on matching patients to specific treatments that (1) limit maladaptive responses, (2) activate adaptive responses, and (3) enhance treatment outcomes based on patient strengths and resources. Copyright © 2015 American Pain Society. Published by Elsevier Inc. All rights reserved.
Research on user behavior authentication model based on stochastic Petri nets
NASA Astrophysics Data System (ADS)
Zhang, Chengyuan; Xu, Haishui
2017-08-01
A behavioural authentication model based on stochastic Petri net is proposed to meet the randomness, uncertainty and concurrency characteristics of user behaviour. The use of random models in the location, changes, arc and logo to describe the characteristics of a variety of authentication and game relationships, so as to effectively implement the graphical user behaviour authentication model analysis method, according to the corresponding proof to verify the model is valuable.
NASA Astrophysics Data System (ADS)
Kulchitsky, A.; Maurits, S.; Watkins, B.
2006-12-01
With the widespread availability of the Internet today, many people can monitor various scientific research activities. It is important to accommodate this interest providing on-line access to dynamic and illustrative Web-resources, which could demonstrate different aspects of ongoing research. It is especially important to explain and these research activities for high school and undergraduate students, thereby providing more information for making decisions concerning their future studies. Such Web resources are also important to clarify scientific research for the general public, in order to achieve better awareness of research progress in various fields. Particularly rewarding is dissemination of information about ongoing projects within Universities and research centers to their local communities. The benefits of this type of scientific outreach are mutual, since development of Web-based automatic systems is prerequisite for many research projects targeting real-time monitoring and/or modeling of natural conditions. Continuous operation of such systems provide ongoing research opportunities for the statistically massive validation of the models, as well. We have developed a Web-based system to run the University of Alaska Fairbanks Polar Ionospheric Model in real-time. This model makes use of networking and computational resources at the Arctic Region Supercomputing Center. This system was designed to be portable among various operating systems and computational resources. Its components can be installed across different computers, separating Web servers and computational engines. The core of the system is a Real-Time Management module (RMM) written Python, which facilitates interactions of remote input data transfers, the ionospheric model runs, MySQL database filling, and PHP scripts for the Web-page preparations. The RMM downloads current geophysical inputs as soon as they become available at different on-line depositories. This information is processed to provide inputs for the next ionospheic model time step and then stored in a MySQL database as the first part of the time-specific record. The RMM then performs synchronization of the input times with the current model time, prepares a decision on initialization for the next model time step, and monitors its execution. Then, as soon as the model completes computations for the next time step, RMM visualizes the current model output into various short-term (about 1-2 hours) forecasting products and compares prior results with available ionospheric measurements. The RMM places prepared images into the MySQL database, which can be located on a different computer node, and then proceeds to the next time interval continuing the time-loop. The upper-level interface of this real-time system is the a PHP-based Web site (http://www.arsc.edu/SpaceWeather/new). This site provides general information about the Earth polar and adjacent mid-latitude ionosphere, allows for monitoring of the current developments and short-term forecasts, and facilitates access to the comparisons archive stored in the database.