A Cognitive Framework for the Analysis of Online Chemistry Courses

ERIC Educational Resources Information Center

Evans, Karen L.; Leinhardt, Gaea

2008-01-01

Many students now are receiving instruction in online environments created by universities, museums, corporations, and even students. What features of a given online course contribute to its effectiveness? This paper addresses that query by proposing and applying an analytic framework to five online introductory chemistry courses. Introductory…

Developing an ecosystem diversity framework for landscape assessment

Treesearch

Robert D. Pfister; Michael D. Sweet

2000-01-01

Ecological diversity is being addressed in various research and management efforts, but a common foundation is not explicitly defined or displayed. A formal Ecosystem Diversity Framework (EDF) would improve landscape analysis and communication across multiple scales. The EDF represents a multiple-component vegetation classification system with inherent flexibility for...

Toward Solving the Problem of Problem Solving: An Analysis Framework

ERIC Educational Resources Information Center

Roesler, Rebecca A.

2016-01-01

Teaching is replete with problem solving. Problem solving as a skill, however, is seldom addressed directly within music teacher education curricula, and research in music education has not examined problem solving systematically. A framework detailing problem-solving component skills would provide a needed foundation. I observed problem solving…

Informing the NCA: EPA's Climate Change Impact and Risk Analysis Framework

NASA Astrophysics Data System (ADS)

Sarofim, M. C.; Martinich, J.; Kolian, M.; Crimmins, A. R.

2017-12-01

The Climate Change Impact and Risk Analysis (CIRA) framework is designed to quantify the physical impacts and economic damages in the United States under future climate change scenarios. To date, the framework has been applied to 25 sectors, using scenarios and projections developed for the Fourth National Climate Assessment. The strength of this framework has been in the use of consistent climatic, socioeconomic, and technological assumptions and inputs across the impact sectors to maximize the ease of cross-sector comparison. The results of the underlying CIRA sectoral analyses are informing the sustained assessment process by helping to address key gaps related to economic valuation and risk. Advancing capacity and scientific literature in this area has created opportunity to consider future applications and strengthening of the framework. This presentation will describe the CIRA framework, present results for various sectors such as heat mortality, air & water quality, winter recreation, and sea level rise, and introduce potential enhancements that can improve the utility of the framework for decision analysis.

Some Observations on Cost-Effectiveness Analysis in Education.

ERIC Educational Resources Information Center

Geske, Terry G.

1979-01-01

The general nature of cost-effectiveness analysis is discussed, analytical frameworks for conducting cost-effectiveness studies are described, and some of the problems inherent in measuring educational costs and in assessing program effectiveness are addressed. (Author/IRT)

Improved analyses using function datasets and statistical modeling

Treesearch

John S. Hogland; Nathaniel M. Anderson

2014-01-01

Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space and have limited statistical functionality and machine learning algorithms. To address this issue, we developed a new modeling framework using C# and ArcObjects and integrated that framework...

A Framework for Professional Ethics Courses in Teacher Education

ERIC Educational Resources Information Center

Warnick, Bryan R.; Silverman, Sarah K.

2011-01-01

Evidence suggests that professional ethics is currently a neglected topic in teacher education programs. In this article, the authors revisit the question of ethics education for teachers. The authors propose an approach to the professional ethics of teaching that employs a case-analysis framework specifically tailored to address the practice of…

Globalization and Higher Education Organizational Change: A Framework for Analysis

ERIC Educational Resources Information Center

Vaira, Massimiliano

2004-01-01

The aim of this article is to outline a theoretical framework to address Higher Education organizational change in a globalized and globalizing age. The paper will start with a brief description of trends characterizing the global landscape and their relationships with Higher Education policies and institutions. Although these trends are well…

Combined use of the Consolidated Framework for Implementation Research (CFIR) and the Theoretical Domains Framework (TDF): a systematic review.

PubMed

Birken, Sarah A; Powell, Byron J; Presseau, Justin; Kirk, M Alexis; Lorencatto, Fabiana; Gould, Natalie J; Shea, Christopher M; Weiner, Bryan J; Francis, Jill J; Yu, Yan; Haines, Emily; Damschroder, Laura J

2017-01-05

Over 60 implementation frameworks exist. Using multiple frameworks may help researchers to address multiple study purposes, levels, and degrees of theoretical heritage and operationalizability; however, using multiple frameworks may result in unnecessary complexity and redundancy if doing so does not address study needs. The Consolidated Framework for Implementation Research (CFIR) and the Theoretical Domains Framework (TDF) are both well-operationalized, multi-level implementation determinant frameworks derived from theory. As such, the rationale for using the frameworks in combination (i.e., CFIR + TDF) is unclear. The objective of this systematic review was to elucidate the rationale for using CFIR + TDF by (1) describing studies that have used CFIR + TDF, (2) how they used CFIR + TDF, and (2) their stated rationale for using CFIR + TDF. We undertook a systematic review to identify studies that mentioned both the CFIR and the TDF, were written in English, were peer-reviewed, and reported either a protocol or results of an empirical study in MEDLINE/PubMed, PsycInfo, Web of Science, or Google Scholar. We then abstracted data into a matrix and analyzed it qualitatively, identifying salient themes. We identified five protocols and seven completed studies that used CFIR + TDF. CFIR + TDF was applied to studies in several countries, to a range of healthcare interventions, and at multiple intervention phases; used many designs, methods, and units of analysis; and assessed a variety of outcomes. Three studies indicated that using CFIR + TDF addressed multiple study purposes. Six studies indicated that using CFIR + TDF addressed multiple conceptual levels. Four studies did not explicitly state their rationale for using CFIR + TDF. Differences in the purposes that authors of the CFIR (e.g., comprehensive set of implementation determinants) and the TDF (e.g., intervention development) propose help to justify the use of CFIR + TDF. Given that the CFIR and the TDF are both multi-level frameworks, the rationale that using CFIR + TDF is needed to address multiple conceptual levels may reflect potentially misleading conventional wisdom. On the other hand, using CFIR + TDF may more fully define the multi-level nature of implementation. To avoid concerns about unnecessary complexity and redundancy, scholars who use CFIR + TDF and combinations of other frameworks should specify how the frameworks contribute to their study. PROSPERO CRD42015027615.

A view of the tip of the iceberg: revisiting conceptual continuities and their implications for science learning

NASA Astrophysics Data System (ADS)

Brown, Bryan A.; Kloser, Matt

2009-12-01

We respond to Hwang and Kim and Yeo's critiques of the conceptual continuity framework in science education. First, we address the criticism that their analysis fails to recognize the situated perspective of learning by denying the dichotomy of the formal and informal knowledge as a starting point in the learning process. Second, we address the critique that students' descriptions fail to meet the "gold standard" of science education—alignment with an authoritative source and generalizability—by highlighting some student-expert congruence that could serve as the foundation for future learning. Third, we address the critique that a conceptual continuity framework could lead to less rigorous science education goals by arguing that the ultimate goals do not change, but rather that if the pathways that lead to the goals' achievement could recognize existing lexical continuities' science teaching may become more efficient. In sum, we argue that a conceptual continuities framework provides an asset, not deficit lexical perspective from which science teacher educators and science educators can begin to address and build complete science understandings.

Methods used to address fidelity of receipt in health intervention research: a citation analysis and systematic review.

PubMed

Rixon, Lorna; Baron, Justine; McGale, Nadine; Lorencatto, Fabiana; Francis, Jill; Davies, Anna

2016-11-18

The American Behaviour Change Consortium (BCC) framework acknowledges patients as active participants and supports the need to investigate the fidelity with which they receive interventions, i.e. receipt. According to this framework, addressing receipt consists in using strategies to assess or enhance participants' understanding and/or performance of intervention skills. This systematic review aims to establish the frequency with which receipt is addressed as defined in the BCC framework in health research, and to describe the methods used in papers informed by the BCC framework and in the wider literature. A forward citation search on papers presenting the BCC framework was performed to determine the frequency with which receipt as defined in this framework was addressed. A second electronic database search, including search terms pertaining to fidelity, receipt, health and process evaluations was performed to identify papers reporting on receipt in the wider literature and irrespective of the framework used. These results were combined with forward citation search results to review methods to assess receipt. Eligibility criteria and data extraction forms were developed and applied to papers. Results are described in a narrative synthesis. 19.6% of 33 studies identified from the forward citation search to report on fidelity were found to address receipt. In 60.6% of these, receipt was assessed in relation to understanding and in 42.4% in relation to performance of skill. Strategies to enhance these were present in 12.1% and 21.1% of studies, respectively. Fifty-five studies were included in the review of the wider literature. Several frameworks and operationalisations of receipt were reported, but the latter were not always consistent with the guiding framework. Receipt was most frequently operationalised in relation to intervention content (16.4%), satisfaction (14.5%), engagement (14.5%), and attendance (14.5%). The majority of studies (90.0%) included subjective assessments of receipt. These relied on quantitative (76.0%) rather than qualitative (42.0%) methods and studies collected data on intervention recipients (50.0%), intervention deliverers (28.0%), or both (22.0%). Few studies (26.0%) reported on the reliability or validity of methods used. Receipt is infrequently addressed in health research and improvements to methods of assessment and reporting are required.

Language-Based Curriculum Analysis: A Collaborative Assessment and Intervention Process.

ERIC Educational Resources Information Center

Prelock, Patricia A.

1997-01-01

Presents a systematic process for completing a language-based curriculum analysis to address curriculum expectations that may challenge students with communication impairments. Analysis of vocabulary and the demands for comprehension, oral, and written expression within specific content areas provides a framework for collaboration between teachers…

Addressing multi-label imbalance problem of surgical tool detection using CNN.

PubMed

Sahu, Manish; Mukhopadhyay, Anirban; Szengel, Angelika; Zachow, Stefan

2017-06-01

A fully automated surgical tool detection framework is proposed for endoscopic video streams. State-of-the-art surgical tool detection methods rely on supervised one-vs-all or multi-class classification techniques, completely ignoring the co-occurrence relationship of the tools and the associated class imbalance. In this paper, we formulate tool detection as a multi-label classification task where tool co-occurrences are treated as separate classes. In addition, imbalance on tool co-occurrences is analyzed and stratification techniques are employed to address the imbalance during convolutional neural network (CNN) training. Moreover, temporal smoothing is introduced as an online post-processing step to enhance runtime prediction. Quantitative analysis is performed on the M2CAI16 tool detection dataset to highlight the importance of stratification, temporal smoothing and the overall framework for tool detection. The analysis on tool imbalance, backed by the empirical results, indicates the need and superiority of the proposed framework over state-of-the-art techniques.

Unified Simulation and Analysis Framework for Deep Space Navigation Design

NASA Technical Reports Server (NTRS)

Anzalone, Evan; Chuang, Jason; Olsen, Carrie

2013-01-01

As the technology that enables advanced deep space autonomous navigation continues to develop and the requirements for such capability continues to grow, there is a clear need for a modular expandable simulation framework. This tool's purpose is to address multiple measurement and information sources in order to capture system capability. This is needed to analyze the capability of competing navigation systems as well as to develop system requirements, in order to determine its effect on the sizing of the integrated vehicle. The development for such a framework is built upon Model-Based Systems Engineering techniques to capture the architecture of the navigation system and possible state measurements and observations to feed into the simulation implementation structure. These models also allow a common environment for the capture of an increasingly complex operational architecture, involving multiple spacecraft, ground stations, and communication networks. In order to address these architectural developments, a framework of agent-based modules is implemented to capture the independent operations of individual spacecraft as well as the network interactions amongst spacecraft. This paper describes the development of this framework, and the modeling processes used to capture a deep space navigation system. Additionally, a sample implementation describing a concept of network-based navigation utilizing digitally transmitted data packets is described in detail. This developed package shows the capability of the modeling framework, including its modularity, analysis capabilities, and its unification back to the overall system requirements and definition.

A General Exponential Framework for Dimensionality Reduction.

PubMed

Wang, Su-Jing; Yan, Shuicheng; Yang, Jian; Zhou, Chun-Guang; Fu, Xiaolan

2014-02-01

As a general framework, Laplacian embedding, based on a pairwise similarity matrix, infers low dimensional representations from high dimensional data. However, it generally suffers from three issues: 1) algorithmic performance is sensitive to the size of neighbors; 2) the algorithm encounters the well known small sample size (SSS) problem; and 3) the algorithm de-emphasizes small distance pairs. To address these issues, here we propose exponential embedding using matrix exponential and provide a general framework for dimensionality reduction. In the framework, the matrix exponential can be roughly interpreted by the random walk over the feature similarity matrix, and thus is more robust. The positive definite property of matrix exponential deals with the SSS problem. The behavior of the decay function of exponential embedding is more significant in emphasizing small distance pairs. Under this framework, we apply matrix exponential to extend many popular Laplacian embedding algorithms, e.g., locality preserving projections, unsupervised discriminant projections, and marginal fisher analysis. Experiments conducted on the synthesized data, UCI, and the Georgia Tech face database show that the proposed new framework can well address the issues mentioned above.

A Comparative Assessment of Greek Universities' Efficiency Using Quantitative Analysis

ERIC Educational Resources Information Center

Katharaki, Maria; Katharakis, George

2010-01-01

In part due to the increased demand for higher education, typical evaluation frameworks for universities often address the key issue of available resource utilisation. This study seeks to estimate the efficiency of 20 public universities in Greece through quantitative analysis (including performance indicators, data envelopment analysis (DEA) and…

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

Lamorgese, Lydia, E-mail: lydial@tin.it; Geneletti, Davide, E-mail: davide.geneletti@unitn.it

This paper presents a framework for analysing the degree of consideration of sustainability principles in Strategic environmental assessment (SEA), and demonstrates its application to a sample of SEA of Italian urban plans. The framework is based on Gibson's (2006) sustainability principles, which are linked to a number of guidance criteria and eventually to review questions, resulting from an extensive literature review. A total of 71 questions are included in the framework, which gives particular emphasis to key concepts, such as intragenerational and intergenerational equity. The framework was applied to review the Environmental Report of the urban plans of 15 majormore » Italian cities. The results of this review show that, even if sustainability is commonly considered as a pivotal concept, there is still work to be done in order to effectively integrate sustainability principles into SEA. In particular, most of the attention is given to mitigation and compensation measures, rather than to actual attempts to propose more sustainable planning decisions in the first place. Concerning the proposed framework of analysis, further research is required to clarify equity concerns and particularly to identify suitable indicators for operationalizing the concepts of intra/inter-generational equity in decision-making. -- Highlights: ► A framework was developed in order to evaluate planning against sustainability criteria. ► The framework was applied to analyse how sustainable principles are addressed in 15 Italian SEA reports. ► Over 85% of the reports addressed, to some extent, at least 40% of the framework questions. ► Criteria explicitly linked to intra and inter-generational equity are rarely addressed.« less

A crash course on data analysis in asteroseismology

NASA Astrophysics Data System (ADS)

Appourchaux, Thierry

2014-02-01

In this course, I try to provide a few basics required for performing data analysis in asteroseismology. First, I address how one can properly treat times series: the sampling, the filtering effect, the use of Fourier transform, the associated statistics. Second, I address how one can apply statistics for decision making and for parameter estimation either in a frequentist of a Bayesian framework. Last, I review how these basic principle have been applied (or not) in asteroseismology.

Can the EVIDEM Framework Tackle Issues Raised by Evaluating Treatments for Rare Diseases: Analysis of Issues and Policies, and Context-Specific Adaptation.

PubMed

Wagner, Monika; Khoury, Hanane; Willet, Jacob; Rindress, Donna; Goetghebeur, Mireille

2016-03-01

The multiplicity of issues, including uncertainty and ethical dilemmas, and policies involved in appraising interventions for rare diseases suggests that multicriteria decision analysis (MCDA) based on a holistic definition of value is uniquely suited for this purpose. The objective of this study was to analyze and further develop a comprehensive MCDA framework (EVIDEM) to address rare disease issues and policies, while maintaining its applicability across disease areas. Specific issues and policies for rare diseases were identified through literature review. Ethical and methodological foundations of the EVIDEM framework v3.0 were systematically analyzed from the perspective of these issues, and policies and modifications of the framework were performed accordingly to ensure their integration. Analysis showed that the framework integrates ethical dilemmas and issues inherent to appraising interventions for rare diseases but required further integration of specific aspects. Modification thus included the addition of subcriteria to further differentiate disease severity, disease-specific treatment outcomes, and economic consequences of interventions for rare diseases. Scoring scales were further developed to include negative scales for all comparative criteria. A methodology was established to incorporate context-specific population priorities and policies, such as those for rare diseases, into the quantitative part of the framework. This design allows making more explicit trade-offs between competing ethical positions of fairness (prioritization of those who are worst off), the goal of benefiting as many people as possible, the imperative to help, and wise use of knowledge and resources. It also allows addressing variability in institutional policies regarding prioritization of specific disease areas, in addition to existing uncertainty analysis available from EVIDEM. The adapted framework measures value in its widest sense, while being responsive to rare disease issues and policies. It provides an operationalizable platform to integrate values, competing ethical dilemmas, and uncertainty in appraising healthcare interventions.

A qualitative study of medical educators' perspectives on remediation: Adopting a holistic approach to struggling residents.

PubMed

Krzyzaniak, Sara M; Wolf, Stephen J; Byyny, Richard; Barker, Lisa; Kaplan, Bonnie; Wall, Stephen; Guerrasio, Jeannette

2017-09-01

During residency, some trainees require the identification and remediation of deficiencies to achieve the knowledge, skills and attitudes necessary for independent practice. Given the limited published frameworks for remediation, we characterize remediation from the perspective of educators and propose a holistic framework to guide the approach to remediation. We conducted semistructured focus groups to: explore methods for identifying struggling residents; categorize common domains of struggle; describe personal factors that contribute to difficulties; define remediation interventions and understand what constitutes successful completion. Data were analyzed through conventional content analysis. Nineteen physicians across multiple specialties and institutions participated in seven focus groups. Thirteen categories emerged around remediation. Some themes addressed practical components of remediation, while others reflected barriers to the process and the impact of remediation on the resident and program. The themes were used to inform development of a novel holistic framework for remediation. The approach to remediation requires comprehensive identification of individual factors impacting performance. The intervention should not only include a tailored learning plan but also address confounders that impact likelihood of remediation success. Our holistic framework intends to guide educators creating remediation plans to ensure all domains are addressed.

CALS Baseline Architecture Analysis of Weapons System. Technical Information: Army, Draft. Volume 8

DOT National Transportation Integrated Search

1989-09-01

This effort was performed to provide a common framework for analysis and planning of CALS initiatives across the military services, leading eventually to the development of a common DoD-wide architecture for CALS. This study addresses Army technical ...

A complexity science-based framework for global joint operations analysis to support force projection: LDRD Final Report

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

Lawton, Craig R.

2015-01-01

The military is undergoing a significant transformation as it modernizes for the information age and adapts to address an emerging asymmetric threat beyond traditional cold war era adversaries. Techniques such as traditional large-scale, joint services war gaming analysis are no longer adequate to support program evaluation activities and mission planning analysis at the enterprise level because the operating environment is evolving too quickly. New analytical capabilities are necessary to address modernization of the Department of Defense (DoD) enterprise. This presents significant opportunity to Sandia in supporting the nation at this transformational enterprise scale. Although Sandia has significant experience with engineeringmore » system of systems (SoS) and Complex Adaptive System of Systems (CASoS), significant fundamental research is required to develop modeling, simulation and analysis capabilities at the enterprise scale. This report documents an enterprise modeling framework which will enable senior level decision makers to better understand their enterprise and required future investments.« less

Transportation Planning and Quality of Life: Where Do They Intersect?

PubMed Central

Lee, Richard J.

2016-01-01

Policy makers and researchers are increasingly recognizing the connections between public health and transportation, but health improvements are typically framed from a physical health perspective rather than considering broader quality of life (QOL) impacts. Currently, there is a limited understanding of the ways in which transportation and QOL intersect, and little is known about how metropolitan planning organizations (MPOs) in the United States are addressing QOL outcomes. This study addressed these gaps by developing a conceptual framework holistically linking transportation to QOL. The proposed framework identified four transportation-related QOL dimensions—physical, mental, social, and economic well-being—which are predominantly influenced by three components of the transportation system: mobility/accessibility, the built environment, and vehicle traffic. This framework then formed the basis for a content analysis of 148 long-range transportation plans in the United States to evaluate the extent to which QOL is being considered in the planning process. The results of the analysis and a follow-up examination of 13 plans revealed that MPOs are inconsistently addressing QOL. Plans primarily targeted QOL enhancement from the perspective of physical well-being, while mental and social well-being were rarely considered. Policy recommendations were provided to more comprehensively integrate QOL into the transportation planning process. PMID:27546998

The SAM framework: modeling the effects of management factors on human behavior in risk analysis.

PubMed

Murphy, D M; Paté-Cornell, M E

1996-08-01

Complex engineered systems, such as nuclear reactors and chemical plants, have the potential for catastrophic failure with disastrous consequences. In recent years, human and management factors have been recognized as frequent root causes of major failures in such systems. However, classical probabilistic risk analysis (PRA) techniques do not account for the underlying causes of these errors because they focus on the physical system and do not explicitly address the link between components' performance and organizational factors. This paper describes a general approach for addressing the human and management causes of system failure, called the SAM (System-Action-Management) framework. Beginning with a quantitative risk model of the physical system, SAM expands the scope of analysis to incorporate first the decisions and actions of individuals that affect the physical system. SAM then links management factors (incentives, training, policies and procedures, selection criteria, etc.) to those decisions and actions. The focus of this paper is on four quantitative models of action that describe this last relationship. These models address the formation of intentions for action and their execution as a function of the organizational environment. Intention formation is described by three alternative models: a rational model, a bounded rationality model, and a rule-based model. The execution of intentions is then modeled separately. These four models are designed to assess the probabilities of individual actions from the perspective of management, thus reflecting the uncertainties inherent to human behavior. The SAM framework is illustrated for a hypothetical case of hazardous materials transportation. This framework can be used as a tool to increase the safety and reliability of complex technical systems by modifying the organization, rather than, or in addition to, re-designing the physical system.

The Constant Comparative Analysis Method Outside of Grounded Theory

ERIC Educational Resources Information Center

Fram, Sheila M.

2013-01-01

This commentary addresses the gap in the literature regarding discussion of the legitimate use of Constant Comparative Analysis Method (CCA) outside of Grounded Theory. The purpose is to show the strength of using CCA to maintain the emic perspective and how theoretical frameworks can maintain the etic perspective throughout the analysis. My…

Analysis of System-Wide Investment in the National Airspace System: A Portfolio Analytical Framework and an Example

NASA Technical Reports Server (NTRS)

Bhadra, Dipasis; Morser, Frederick R.

2006-01-01

In this paper, the authors review the FAA s current program investments and lay out a preliminary analytical framework to undertake projects that may address some of the noted deficiencies. By drawing upon the well developed theories from corporate finance, an analytical framework is offered that can be used for choosing FAA s investments taking into account risk, expected returns and inherent dependencies across NAS programs. The framework can be expanded into taking multiple assets and realistic values for parameters in drawing an efficient risk-return frontier for the entire FAA investment programs.

Neurofeedback and the Neural Representation of Self: Lessons From Awake State and Sleep.

PubMed

Ioannides, Andreas A

2018-01-01

Neurofeedback has been around for half a century, but despite some promising results it is not yet widely appreciated. Recently, some of the concerns about neurofeedback have been addressed with functional magnetic resonance imaging and magnetoencephalography adding their contributions to the long history of neurofeedback with electroencephalography. Attempts to address other concerns related to methodological issues with new experiments and meta-analysis of earlier studies, have opened up new questions about its efficacy. A key concern about neurofeedback is the missing framework to explain how improvements in very different and apparently unrelated conditions are achieved. Recent advances in neuroscience begin to address this concern. A particularly promising approach is the analysis of resting state of fMRI data, which has revealed robust covariations in brain networks that maintain their integrity in sleep and even anesthesia. Aberrant activity in three brain wide networks (i.e., the default mode, central executive and salience networks) has been associated with a number of psychiatric disorders. Recent publications have also suggested that neurofeedback guides the restoration of "normal" activity in these three networks. Using very recent results from our analysis of whole night MEG sleep data together with key concepts from developmental psychology, cloaked in modern neuroscience terms, a theoretical framework is proposed for a neural representation of the self, located at the core of a double onion-like structure of the default mode network. This framework fits a number of old and recent neuroscientific findings, and unites the way attention and memory operate in awake state and during sleep. In the process, safeguards are uncovered, put in place by evolution, before any interference with the core representation of self can proceed. Within this framework, neurofeedback is seen as set of methods for restoration of aberrant activity in large scale networks. The framework also admits quantitative measures of improvements to be made by personalized neurofeedback protocols. Finally, viewed through the framework developed, neurofeedback's safe nature is revealed while raising some concerns for interventions that attempt to alter the neural self-representation bypassing the safeguards evolution has put in place.

Neurofeedback and the Neural Representation of Self: Lessons From Awake State and Sleep

PubMed Central

Ioannides, Andreas A.

2018-01-01

Neurofeedback has been around for half a century, but despite some promising results it is not yet widely appreciated. Recently, some of the concerns about neurofeedback have been addressed with functional magnetic resonance imaging and magnetoencephalography adding their contributions to the long history of neurofeedback with electroencephalography. Attempts to address other concerns related to methodological issues with new experiments and meta-analysis of earlier studies, have opened up new questions about its efficacy. A key concern about neurofeedback is the missing framework to explain how improvements in very different and apparently unrelated conditions are achieved. Recent advances in neuroscience begin to address this concern. A particularly promising approach is the analysis of resting state of fMRI data, which has revealed robust covariations in brain networks that maintain their integrity in sleep and even anesthesia. Aberrant activity in three brain wide networks (i.e., the default mode, central executive and salience networks) has been associated with a number of psychiatric disorders. Recent publications have also suggested that neurofeedback guides the restoration of “normal” activity in these three networks. Using very recent results from our analysis of whole night MEG sleep data together with key concepts from developmental psychology, cloaked in modern neuroscience terms, a theoretical framework is proposed for a neural representation of the self, located at the core of a double onion-like structure of the default mode network. This framework fits a number of old and recent neuroscientific findings, and unites the way attention and memory operate in awake state and during sleep. In the process, safeguards are uncovered, put in place by evolution, before any interference with the core representation of self can proceed. Within this framework, neurofeedback is seen as set of methods for restoration of aberrant activity in large scale networks. The framework also admits quantitative measures of improvements to be made by personalized neurofeedback protocols. Finally, viewed through the framework developed, neurofeedback’s safe nature is revealed while raising some concerns for interventions that attempt to alter the neural self-representation bypassing the safeguards evolution has put in place. PMID:29755332

Spatiotemporal Data Mining, Analysis, and Visualization of Human Activity Data

ERIC Educational Resources Information Center

Li, Xun

2012-01-01

This dissertation addresses the research challenge of developing efficient new methods for discovering useful patterns and knowledge in large volumes of electronically collected spatiotemporal activity data. I propose to analyze three types of such spatiotemporal activity data in a methodological framework that integrates spatial analysis, data…

Adapting the capacities and vulnerabilities approach: a gender analysis tool.

PubMed

Birks, Lauren; Powell, Christopher; Hatfield, Jennifer

2017-12-01

Gender analysis methodology is increasingly being considered as essential to health research because 'women's social, economic and political status undermine their ability to protect and promote their own physical, emotional and mental health, including their effective use of health information and services' {World Health Organization [Gender Analysis in Health: a review of selected tools. 2003; www.who.int/gender/documents/en/Gender. pdf (20 February 2008, date last accessed)]}. By examining gendered roles, responsibilities and norms through the lens of gender analysis, we can develop an in-depth understanding of social power differentials, and be better able to address gender inequalities and inequities within institutions and between men and women. When conducting gender analysis, tools and frameworks may help to aid community engagement and to provide a framework to ensure that relevant gendered nuances are assessed. The capacities and vulnerabilities approach (CVA) is one such gender analysis framework that critically considers gender and its associated roles, responsibilities and power dynamics in a particular community and seeks to meet a social need of that particular community. Although the original intent of the CVA was to guide humanitarian intervention and disaster preparedness, we adapted this framework to a different context, which focuses on identifying and addressing emerging problems and social issues in a particular community or area that affect their specific needs, such as an infectious disease outbreak or difficulty accessing health information and resources. We provide an example of our CVA adaptation, which served to facilitate a better understanding of how health-related disparities affect Maasai women in a remote, resource-poor setting in Northern Tanzania. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Diversity, social justice, and intersectionality trends in C/MFT: a content analysis of three family therapy journals, 2004-2011.

PubMed

Seedall, Ryan B; Holtrop, Kendal; Parra-Cardona, José Ruben

2014-04-01

In this study, we analyzed the amount of attention given to diversity, social justice, and an intersectional approach to social inequalities over an 8-year period (769 articles) in three family therapy journals. Overall, 28.1% of articles addressed at least one diversity issue, and a social justice framework was utilized in 48.1% of diversity articles. A systemic, intersectional approach to conceptualizing and analyzing multiple social inequalities was utilized in 17.6% of diversity articles. The most common goals addressed in diversity articles, articles using a social justice framework, and articles using an intersectional approach are also identified. Findings indicate that, despite important work being carried out, more work remains to further identify how addressing diversity issues can improve client outcomes. © 2013 American Association for Marriage and Family Therapy.

eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows.

PubMed

Kiefer, Patrick; Schmitt, Uwe; Vorholt, Julia A

2013-04-01

The Python-based, open-source eMZed framework was developed for mass spectrometry (MS) users to create tailored workflows for liquid chromatography (LC)/MS data analysis. The goal was to establish a unique framework with comprehensive basic functionalities that are easy to apply and allow for the extension and modification of the framework in a straightforward manner. eMZed supports the iterative development and prototyping of individual evaluation strategies by providing a computing environment and tools for inspecting and modifying underlying LC/MS data. The framework specifically addresses non-expert programmers, as it requires only basic knowledge of Python and relies largely on existing successful open-source software, e.g. OpenMS. The framework eMZed and its documentation are freely available at http://emzed.biol.ethz.ch/. eMZed is published under the GPL 3.0 license, and an online discussion group is available at https://groups.google.com/group/emzed-users. Supplementary data are available at Bioinformatics online.

Managing urban water systems with significant adaptation deficits - a unified framework for secondary cities

NASA Astrophysics Data System (ADS)

Pathirana, A.; Radhakrishnan, M.; Zevenbergen, C.; Quan, N. H.

2016-12-01

The need to address the shortcomings of urban systems - adaptation deficit - and shortcomings in response to climate change - `adaptation gap' - are both major challenges in maintaining the livability and sustainability of cities. However, the adaptation actions defined in terms of type I (addressing adaptation deficits) and type II (addressing adaptation gaps), often compete and conflict each other in the secondary cities of the global south. Extending the concept of the environmental Kuznets curve, this paper argues that a unified framework that calls for synergistic action on type I and type II adaptation is essential in order for these cities to maintain their livability, sustainability and resilience facing extreme rates of urbanization and rapid onset of climate change. The proposed framework has been demonstrated in Can Tho, Vietnam, where there are significant adaptation deficits due to rapid urbanisation and adaptation gaps due to climate change and socio-economic changes. The analysis in Can Tho reveals the lack of integration between type I and type II measures that could be overcome by closer integration between various stakeholders in terms of planning, prioritising and implementing the adaptation measures.

A View of the Tip of the Iceberg: Revisiting Conceptual Continuities and Their Implications for Science Learning

ERIC Educational Resources Information Center

Brown, Bryan A.; Kloser, Matt

2009-01-01

We respond to Hwang and Kim and Yeo's critiques of the conceptual continuity framework in science education. First, we address the criticism that their analysis fails to recognize the situated perspective of learning by denying the dichotomy of the formal and informal knowledge as a starting point in the learning process. Second, we address the…

Android and ODK based data collection framework to aid in epidemiological analysis

PubMed Central

Raja, A.; Tridane, A.; Gaffar, A.; Lindquist, T.; Pribadi, K.

2014-01-01

Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the resources required for good disease surveillance and proactive healthcare are available more readily in developed countries, the lack of these in developing countries may compromise the quality of service provided. This combined with the critical nature of some diseases makes this an essential issue to be addressed. Taking advantage of the rapid growth of cell phone usage and related infrastructure in developed as well as developing countries, several systems have been established to address the gaps in data collection. Android, being an open sourced platform, has gained considerable popularity in this aspect. Open data kit is one such tool developed to aid in data collection. The aim of this paper is to present a prototype framework built using few such existing tools and technologies to address data collection for seasonal influenza, commonly referred to as the flu. PMID:24678381

Data warehouse governance programs in healthcare settings: a literature review and a call to action.

PubMed

Elliott, Thomas E; Holmes, John H; Davidson, Arthur J; La Chance, Pierre-Andre; Nelson, Andrew F; Steiner, John F

2013-01-01

Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis. Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine. While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain.

Structural Analysis in a Conceptual Design Framework

NASA Technical Reports Server (NTRS)

Padula, Sharon L.; Robinson, Jay H.; Eldred, Lloyd B.

2012-01-01

Supersonic aircraft designers must shape the outer mold line of the aircraft to improve multiple objectives, such as mission performance, cruise efficiency, and sonic-boom signatures. Conceptual designers have demonstrated an ability to assess these objectives for a large number of candidate designs. Other critical objectives and constraints, such as weight, fuel volume, aeroelastic effects, and structural soundness, are more difficult to address during the conceptual design process. The present research adds both static structural analysis and sizing to an existing conceptual design framework. The ultimate goal is to include structural analysis in the multidisciplinary optimization of a supersonic aircraft. Progress towards that goal is discussed and demonstrated.

How equity is addressed in clinical practice guidelines: a content analysis

PubMed Central

Shi, Chunhu; Tian, Jinhui; Wang, Quan; Petkovic, Jennifer; Ren, Dan; Yang, Kehu; Yang, Yang

2014-01-01

Objectives Considering equity into guidelines presents methodological challenges. This study aims to qualitatively synthesise the methods for incorporating equity in clinical practice guidelines (CPGs). Setting Content analysis of methodological publications. Eligibility criteria for selecting studies Methodological publications were included if they provided checklists/frameworks on when, how and to what extent equity should be incorporated in CPGs. Data sources We electronically searched MEDLINE, retrieved references, and browsed guideline development organisation websites from inception to January 2013. After study selection by two authors, general characteristics and checklists items/framework components from included studies were extracted. Based on the questions or items from checklists/frameworks (unit of analysis), content analysis was conducted to identify themes and questions/items were grouped into these themes. Primary outcomes The primary outcomes were methodological themes and processes on how to address equity issues in guideline development. Results 8 studies with 10 publications were included from 3405 citations. In total, a list of 87 questions/items was generated from 17 checklists/frameworks. After content analysis, questions were grouped into eight themes (‘scoping questions’, ‘searching relevant evidence’, ‘appraising evidence and recommendations’, ‘formulating recommendations’, ‘monitoring implementation’, ‘providing a flow chart to include equity in CPGs’, and ‘others: reporting of guidelines and comments from stakeholders’ for CPG developers and ‘assessing the quality of CPGs’ for CPG users). Four included studies covered more than five of these themes. We also summarised the process of guideline development based on the themes mentioned above. Conclusions For disadvantaged population-specific CPGs, eight important methodological issues identified in this review should be considered when including equity in CPGs under the guidance of a scientific guideline development manual. PMID:25479795

Why It Matters How We Frame "Education" in Education for Sustainable Development

ERIC Educational Resources Information Center

Shephard, Kerry; Dulgar, Pete

2015-01-01

We analyzed two educational frameworks that seek to embed "education for sustainable development" into higher education (HE). Both identify that HE is failing to educate graduates able to address the sustainability needs of society and suggest approaches to remedy the situation. We used discourse analysis and framing analysis to explore…

An Institutional Theory Analysis of Charter Schools: Addressing Institutional Challenges to Scale

ERIC Educational Resources Information Center

Huerta, Luis A.; Zuckerman, Andrew

2009-01-01

This article presents a conceptual framework derived from institutional theory in sociology that offers two competing policy contexts in which charter schools operate--a bureaucratic frame versus a decentralized frame. An analysis of evolving charter school types based on three underlying theories of action is considered. As charter school leaders…

Inventory-based landscape-scale simulation of management effectiveness and economic feasibility with BioSum

Treesearch

Jeremy S. Fried; Larry D. Potts; Sara M. Loreno; Glenn A. Christensen; R. Jamie Barbour

2017-01-01

The Forest Inventory and Analysis (FIA)-based BioSum (Bioregional Inventory Originated Simulation Under Management) is a free policy analysis framework and workflow management software solution. It addresses complex management questions concerning forest health and vulnerability for large, multimillion acre, multiowner landscapes using FIA plot data as the initial...

A Framework for Performing Multiscale Stochastic Progressive Failure Analysis of Composite Structures

NASA Technical Reports Server (NTRS)

Bednarcyk, Brett A.; Arnold, Steven M.

2006-01-01

A framework is presented that enables coupled multiscale analysis of composite structures. The recently developed, free, Finite Element Analysis - Micromechanics Analysis Code (FEAMAC) software couples the Micromechanics Analysis Code with Generalized Method of Cells (MAC/GMC) with ABAQUS to perform micromechanics based FEA such that the nonlinear composite material response at each integration point is modeled at each increment by MAC/GMC. As a result, the stochastic nature of fiber breakage in composites can be simulated through incorporation of an appropriate damage and failure model that operates within MAC/GMC on the level of the fiber. Results are presented for the progressive failure analysis of a titanium matrix composite tensile specimen that illustrate the power and utility of the framework and address the techniques needed to model the statistical nature of the problem properly. In particular, it is shown that incorporating fiber strength randomness on multiple scales improves the quality of the simulation by enabling failure at locations other than those associated with structural level stress risers.

A Framework for Performing Multiscale Stochastic Progressive Failure Analysis of Composite Structures

NASA Technical Reports Server (NTRS)

Bednarcyk, Brett A.; Arnold, Steven M.

2007-01-01

A framework is presented that enables coupled multiscale analysis of composite structures. The recently developed, free, Finite Element Analysis-Micromechanics Analysis Code (FEAMAC) software couples the Micromechanics Analysis Code with Generalized Method of Cells (MAC/GMC) with ABAQUS to perform micromechanics based FEA such that the nonlinear composite material response at each integration point is modeled at each increment by MAC/GMC. As a result, the stochastic nature of fiber breakage in composites can be simulated through incorporation of an appropriate damage and failure model that operates within MAC/GMC on the level of the fiber. Results are presented for the progressive failure analysis of a titanium matrix composite tensile specimen that illustrate the power and utility of the framework and address the techniques needed to model the statistical nature of the problem properly. In particular, it is shown that incorporating fiber strength randomness on multiple scales improves the quality of the simulation by enabling failure at locations other than those associated with structural level stress risers.

Metacognition and evidence analysis instruction: an educational framework and practical experience.

PubMed

Parrott, J Scott; Rubinstein, Matthew L

2015-08-21

The role of metacognitive skills in the evidence analysis process has received little attention in the research literature. While the steps of the evidence analysis process are well defined, the role of higher-level cognitive operations (metacognitive strategies) in integrating the steps of the process is not well understood. In part, this is because it is not clear where and how metacognition is implicated in the evidence analysis process nor how these skills might be taught. The purposes of this paper are to (a) suggest a model for identifying critical thinking and metacognitive skills in evidence analysis instruction grounded in current educational theory and research and (b) demonstrate how freely available systematic review/meta-analysis tools can be used to focus on higher-order metacognitive skills, while providing a framework for addressing common student weaknesses. The final goal of this paper is to provide an instructional framework that can generate critique and elaboration while providing the conceptual basis and rationale for future research agendas on this topic.

Policy-Making Theory as an Analytical Framework in Policy Analysis: Implications for Research Design and Professional Advocacy.

PubMed

Sheldon, Michael R

2016-01-01

Policy studies are a recent addition to the American Physical Therapy Association's Research Agenda and are critical to our understanding of various federal, state, local, and organizational policies on the provision of physical therapist services across the continuum of care. Policy analyses that help to advance the profession's various policy agendas will require relevant theoretical frameworks to be credible. The purpose of this perspective article is to: (1) demonstrate the use of a policy-making theory as an analytical framework in a policy analysis and (2) discuss how sound policy analysis can assist physical therapists in becoming more effective change agents, policy advocates, and partners with other relevant stakeholder groups. An exploratory study of state agency policy responses to address work-related musculoskeletal disorders is provided as a contemporary example to illustrate key points and to demonstrate the importance of selecting a relevant analytical framework based on the context of the policy issue under investigation. © 2016 American Physical Therapy Association.

An intersectionality-based policy analysis framework: critical reflections on a methodology for advancing equity.

PubMed

Hankivsky, Olena; Grace, Daniel; Hunting, Gemma; Giesbrecht, Melissa; Fridkin, Alycia; Rudrum, Sarah; Ferlatte, Olivier; Clark, Natalie

2014-12-10

In the field of health, numerous frameworks have emerged that advance understandings of the differential impacts of health policies to produce inclusive and socially just health outcomes. In this paper, we present the development of an important contribution to these efforts - an Intersectionality-Based Policy Analysis (IBPA) Framework. Developed over the course of two years in consultation with key stakeholders and drawing on best and promising practices of other equity-informed approaches, this participatory and iterative IBPA Framework provides guidance and direction for researchers, civil society, public health professionals and policy actors seeking to address the challenges of health inequities across diverse populations. Importantly, we present the application of the IBPA Framework in seven priority health-related policy case studies. The analysis of each case study is focused on explaining how IBPA: 1) provides an innovative structure for critical policy analysis; 2) captures the different dimensions of policy contexts including history, politics, everyday lived experiences, diverse knowledges and intersecting social locations; and 3) generates transformative insights, knowledge, policy solutions and actions that cannot be gleaned from other equity-focused policy frameworks. The aim of this paper is to inspire a range of policy actors to recognize the potential of IBPA to foreground the complex contexts of health and social problems, and ultimately to transform how policy analysis is undertaken.

A framework for analysis of sentinel events in medical student education.

PubMed

Cohen, Daniel M; Clinchot, Daniel M; Werman, Howard A

2013-11-01

Although previous studies have addressed student factors contributing to dismissal or withdrawal from medical school for academic reasons, little information is available regarding institutional factors that may hinder student progress. The authors describe the development and application of a framework for sentinel event (SE) root cause analysis to evaluate cases in which students are dismissed or withdraw because of failure to progress in the medical school curriculum. The SE in medical student education (MSE) framework was piloted at the Ohio State University College of Medicine (OSUCOM) during 2010-2012. Faculty presented cases using the framework during academic oversight committee discussions. Nine SEs in MSE were presented using the framework. Major institution-level findings included the need for improved communication, documentation of cognitive and noncognitive (e.g., mental health) issues, clarification of requirements for remediation and fitness for duty, and additional psychological services. Challenges related to alternative and combined programs were identified as well. The OSUCOM undertook system changes based on the action plans developed through the discussions of these SEs. An SE analysis process appears to be a useful method for making system changes in response to institutional issues identified in evaluation of cases in which students fail to progress in the medical school curriculum. The authors plan to continue to refine the SE in MSE framework and analysis process. Next steps include assessing whether analysis using this framework yields improved student outcomes with universal applications for other institutions.

Person-centered nursing practice with older people in Ireland.

PubMed

Landers, Margaret G; McCarthy, Geraldine M

2007-01-01

This column presents an analysis of McCormack's conceptual framework for person-centered practice with older people as a theoretical basis for the delivery of care of older adults in an Irish context. The evaluative process is guided by the framework proposed by Fawcett (2000) for the analysis and evaluation of conceptual models of nursing. The historical evolution, philosophical claims, and an overview of the content of the model are addressed. The following criteria are then applied: logical congruence, the generation of the theory, the credibility of the model, and the contribution of the model to the discipline of nursing.

VisRseq: R-based visual framework for analysis of sequencing data

PubMed Central

2015-01-01

Background Several tools have been developed to enable biologists to perform initial browsing and exploration of sequencing data. However the computational tool set for further analyses often requires significant computational expertise to use and many of the biologists with the knowledge needed to interpret these data must rely on programming experts. Results We present VisRseq, a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. We achieve this aim by providing R apps, which offer a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. To address the interactivity limitation inherent in R libraries, our framework includes several native apps that provide exploration and brushing operations as well as an integrated genome browser. The apps can be chained together to create more powerful analysis workflows. Conclusions To validate the usability of VisRseq for analysis of sequencing data, we present two case studies performed by our collaborators and report their workflow and insights. PMID:26328469

VisRseq: R-based visual framework for analysis of sequencing data.

PubMed

Younesy, Hamid; Möller, Torsten; Lorincz, Matthew C; Karimi, Mohammad M; Jones, Steven J M

2015-01-01

Several tools have been developed to enable biologists to perform initial browsing and exploration of sequencing data. However the computational tool set for further analyses often requires significant computational expertise to use and many of the biologists with the knowledge needed to interpret these data must rely on programming experts. We present VisRseq, a framework for analysis of sequencing datasets that provides a computationally rich and accessible framework for integrative and interactive analyses without requiring programming expertise. We achieve this aim by providing R apps, which offer a semi-auto generated and unified graphical user interface for computational packages in R and repositories such as Bioconductor. To address the interactivity limitation inherent in R libraries, our framework includes several native apps that provide exploration and brushing operations as well as an integrated genome browser. The apps can be chained together to create more powerful analysis workflows. To validate the usability of VisRseq for analysis of sequencing data, we present two case studies performed by our collaborators and report their workflow and insights.

Ethical hot spots of combined individual and group therapy: applying four ethical systems.

PubMed

Brabender, Virginia M; Fallon, April

2009-01-01

Abstract Combined therapy presents ethical quandaries that occur in individual psychotherapy and group psychotherapy, and dilemmas specifically associated with their integration. This paper examines two types of ethical frameworks (a classical principle-based framework and a set of context-based frameworks) for addressing the ethical hot spots of combined therapy: self-referral, transfer of information, and termination. The principle-based approach enables the practitioner to see what core values may be served or violated by different courses of action in combined therapy dilemmas. Yet, the therapist is more likely to do justice to the complexity and richness of the combined therapy situation by supplementing a principle analysis with three additional ethical frameworks. These approaches are: virtue ethics, feminist ethics, and casuistry. An analysis of three vignettes illustrates how these contrasting ethical models not only expand the range of features to which the therapist attends but also the array of solutions the therapist generates.

Making sense of complexity in context and implementation: the Context and Implementation of Complex Interventions (CICI) framework.

PubMed

Pfadenhauer, Lisa M; Gerhardus, Ansgar; Mozygemba, Kati; Lysdahl, Kristin Bakke; Booth, Andrew; Hofmann, Bjørn; Wahlster, Philip; Polus, Stephanie; Burns, Jacob; Brereton, Louise; Rehfuess, Eva

2017-02-15

The effectiveness of complex interventions, as well as their success in reaching relevant populations, is critically influenced by their implementation in a given context. Current conceptual frameworks often fail to address context and implementation in an integrated way and, where addressed, they tend to focus on organisational context and are mostly concerned with specific health fields. Our objective was to develop a framework to facilitate the structured and comprehensive conceptualisation and assessment of context and implementation of complex interventions. The Context and Implementation of Complex Interventions (CICI) framework was developed in an iterative manner and underwent extensive application. An initial framework based on a scoping review was tested in rapid assessments, revealing inconsistencies with respect to the underlying concepts. Thus, pragmatic utility concept analysis was undertaken to advance the concepts of context and implementation. Based on these findings, the framework was revised and applied in several systematic reviews, one health technology assessment (HTA) and one applicability assessment of very different complex interventions. Lessons learnt from these applications and from peer review were incorporated, resulting in the CICI framework. The CICI framework comprises three dimensions-context, implementation and setting-which interact with one another and with the intervention dimension. Context comprises seven domains (i.e., geographical, epidemiological, socio-cultural, socio-economic, ethical, legal, political); implementation consists of five domains (i.e., implementation theory, process, strategies, agents and outcomes); setting refers to the specific physical location, in which the intervention is put into practise. The intervention and the way it is implemented in a given setting and context can occur on a micro, meso and macro level. Tools to operationalise the framework comprise a checklist, data extraction tools for qualitative and quantitative reviews and a consultation guide for applicability assessments. The CICI framework addresses and graphically presents context, implementation and setting in an integrated way. It aims at simplifying and structuring complexity in order to advance our understanding of whether and how interventions work. The framework can be applied in systematic reviews and HTA as well as primary research and facilitate communication among teams of researchers and with various stakeholders.

Addressing the need for an infection prevention and control framework that incorporates the role of surveillance: a discussion paper.

PubMed

Mitchell, Brett G; Gardner, Anne

2014-03-01

To present a discussion on theoretical frameworks in infection prevention and control. Infection prevention and control programmes have been in place for several years in response to the incidence of healthcare-associated infections and their associated morbidity and mortality. Theoretical frameworks play an important role in formalizing the understanding of infection prevention activities. Discussion paper. A literature search using electronic databases was conducted for published articles in English addressing theoretical frameworks in infection prevention and control between 1980-2012. Nineteen papers that included a reference to frameworks were identified in the review. A narrative analysis of these papers was completed. Two models were identified and neither included the role of surveillance. To reduce the risk of acquiring a healthcare-associated infection, a multifaceted approach to infection prevention is required. One key component in this approach is surveillance. The review identified two infection prevention and control frameworks, yet these are rarely applied in infection prevention and control programmes. Only one framework considered the multifaceted approach required for infection prevention. It did not, however, incorporate the role of surveillance. We present a framework that incorporates the role of surveillance into a biopsychosocial approach to infection prevention and control. Infection prevention and control programmes and associated research are led primarily by nurses. There is a need for an explicit infection prevention and control framework incorporating the important role that surveillance has in infection prevention activities. This study presents one framework for further critique and discussion. © 2013 John Wiley & Sons Ltd.

Modeled forest inventory data suggest climate benefits from fuels management

Treesearch

Jeremy S. Fried; Theresa B. Jain; Jonathan. Sandquist

2013-01-01

As part of a recent synthesis addressing fuel management in dry, mixed-conifer forests we analyzed more than 5,000 Forest Inventory and Analysis (FIA) plots, a probability sample that represents 33 million acres of these forests throughout Washington, Oregon, Idaho, Montana, Utah, and extreme northern California. We relied on the BioSum analysis framework that...

Function modeling: improved raster analysis through delayed reading and function raster datasets

Treesearch

John S. Hogland; Nathaniel M. Anderson; J .Greg Jones

2013-01-01

Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the...

A Cross-Cultural Analysis of Personality Structure Through the Lens of the HEXACO Model.

PubMed

Ion, Andrei; Iliescu, Dragos; Aldhafri, Said; Rana, Neeti; Ratanadilok, Kattiya; Widyanti, Ari; Nedelcea, Cătălin

2017-01-01

Across 5 different samples, totaling more than 1,600 participants from India, Indonesia, Oman, Romania, and Thailand, the authors address the question of cross-cultural replicability of a personality structure, while exploring the utility of exploratory structural equation modeling (ESEM) as a data analysis technique in cross-cultural personality research. Personality was measured with an alternative, non-Five-Factor Model (FFM) personality framework, provided by the HEXACO-PI (Lee & Ashton, 2004 ). The results show that the HEXACO framework was replicated in some of the investigated cultures. The ESEM data analysis technique proved to be especially useful in investigating the between-group measurement equivalence of broad personality measures across different cultures.

Web-based Visual Analytics for Extreme Scale Climate Science

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

Steed, Chad A; Evans, Katherine J; Harney, John F

In this paper, we introduce a Web-based visual analytics framework for democratizing advanced visualization and analysis capabilities pertinent to large-scale earth system simulations. We address significant limitations of present climate data analysis tools such as tightly coupled dependencies, ineffi- cient data movements, complex user interfaces, and static visualizations. Our Web-based visual analytics framework removes critical barriers to the widespread accessibility and adoption of advanced scientific techniques. Using distributed connections to back-end diagnostics, we minimize data movements and leverage HPC platforms. We also mitigate system dependency issues by employing a RESTful interface. Our framework embraces the visual analytics paradigm via newmore » visual navigation techniques for hierarchical parameter spaces, multi-scale representations, and interactive spatio-temporal data mining methods that retain details. Although generalizable to other science domains, the current work focuses on improving exploratory analysis of large-scale Community Land Model (CLM) and Community Atmosphere Model (CAM) simulations.« less

Data Warehouse Governance Programs in Healthcare Settings: A Literature Review and a Call to Action

PubMed Central

Elliott, Thomas E.; Holmes, John H.; Davidson, Arthur J.; La Chance, Pierre-Andre; Nelson, Andrew F.; Steiner, John F.

2013-01-01

Purpose: Given the extensive data stored in healthcare data warehouses, data warehouse governance policies are needed to ensure data integrity and privacy. This review examines the current state of the data warehouse governance literature as it applies to healthcare data warehouses, identifies knowledge gaps, provides recommendations, and suggests approaches for further research. Methods: A comprehensive literature search using five data bases, journal article title-search, and citation searches was conducted between 1997 and 2012. Data warehouse governance documents from two healthcare systems in the USA were also reviewed. A modified version of nine components from the Data Governance Institute Framework for data warehouse governance guided the qualitative analysis. Results: Fifteen articles were retrieved. Only three were related to healthcare settings, each of which addressed only one of the nine framework components. Of the remaining 12 articles, 10 addressed between one and seven framework components and the remainder addressed none. Each of the two data warehouse governance plans obtained from healthcare systems in the USA addressed a subset of the framework components, and between them they covered all nine. Conclusions: While published data warehouse governance policies are rare, the 15 articles and two healthcare organizational documents reviewed in this study may provide guidance to creating such policies. Additional research is needed in this area to ensure that data warehouse governance polices are feasible and effective. The gap between the development of data warehouses in healthcare settings and formal governance policies is substantial, as evidenced by the sparse literature in this domain. PMID:25848561

Chemical hazards analysis of resilient flooring for healthcare.

PubMed

Lent, Tom; Silas, Julie; Vallette, Jim

2010-01-01

This article addresses resilient flooring, evaluating the potential health effects of vinyl flooring and the leading alternatives-synthetic rubber, polyolefin, and linoleum-currently used in the healthcare marketplace. The study inventories chemicals incorporated as components of each of the four material types or involved in their life cycle as feedstocks, intermediary chemicals, or emissions. It then characterizes those chemicals using a chemical hazard-based framework that addresses persistence and bioaccumulation, human toxicity, and human exposures.

Towards a Philosophically and a Pedagogically Reasonable Nature of Science Curriculum

NASA Astrophysics Data System (ADS)

Yacoubian, Hagop Azad

This study, primarily theoretical in nature, explores a philosophically and pedagogically reasonable way of addressing nature of science (NOS) in school science. NOS encompasses what science is and how scientific knowledge develops. I critically evaluate consensus frameworks of NOS in school science, which converge contentious philosophical viewpoints into general NOS-related ideas. I argue that they (1) lack clarity in terms of how NOS-related ideas could be applied for various ends, (2) portray a distorted image of the substantive content of NOS and the process of its development, and (3) lack a developmental trajectory for how to address NOS at different grade levels. As a remedy to these problems, I envision a NOS curriculum that (1) explicates and targets both NOS as an educational end and NOS as a means for socioscientific decision making, (2) has critical thinking as its foundational pillar, and (3) provides a developmental pathway for NOS learning using critical thinking as a progression unit. Next, I illustrate a framework for addressing NOS in school science referred to as the critical thinking—nature of science (CT-NOS) framework. This framework brings together the first two of the three elements envisioned in the NOS curriculum. I address the third element by situating the CT-NOS framework in a developmental context, borrowing from the literature on learning progressions in science and using critical thinking as a progression unit. Finally, I present an empirical study of experienced secondary science teachers’ views of a NOS lesson prepared using the CT-NOS framework. The teachers attended a professional development workshop at which the lesson, and the characteristics of the CT-NOS framework, were presented. The analysis of the qualitative data revealed that most teachers found the lesson to be somewhat feasible for a secondary science classroom, useful or somewhat useful to their students, and interesting. The teachers focused on 14 features of the lesson in their judgments and recommendations. The study revealed a number of teacher challenges generally related to critical thinking and its teaching as well as to the distinction between critical thinking about NOS and critical thinking with NOS.

Access to primary health care services for Indigenous peoples: A framework synthesis.

PubMed

Davy, Carol; Harfield, Stephen; McArthur, Alexa; Munn, Zachary; Brown, Alex

2016-09-30

Indigenous peoples often find it difficult to access appropriate mainstream primary health care services. Securing access to primary health care services requires more than just services that are situated within easy reach. Ensuring the accessibility of health care for Indigenous peoples who are often faced with a vast array of additional barriers including experiences of discrimination and racism, can be complex. This framework synthesis aimed to identify issues that hindered Indigenous peoples from accessing primary health care and then explore how, if at all, these were addressed by Indigenous health care services. To be included in this framework synthesis papers must have presented findings focused on access to (factors relating to Indigenous peoples, their families and their communities) or accessibility of Indigenous primary health care services. Findings were imported into NVivo and a framework analysis undertaken whereby findings were coded to and then thematically analysed using Levesque and colleague's accessibility framework. Issues relating to the cultural and social determinants of health such as unemployment and low levels of education influenced whether Indigenous patients, their families and communities were able to access health care. Indigenous health care services addressed these issues in a number of ways including the provision of transport to and from appointments, a reduction in health care costs for people on low incomes and close consultation with, if not the direct involvement of, community members in identifying and then addressing health care needs. Indigenous health care services appear to be best placed to overcome both the social and cultural determinants of health which hamper Indigenous peoples from accessing health care. Findings of this synthesis also suggest that Levesque and colleague's accessibility framework should be broadened to include factors related to the health care system such as funding.

Addressing the issue of insufficient information in data-based bridge health monitoring : final report.

DOT National Transportation Integrated Search

2015-11-01

One of the most efficient ways to solve the damage detection problem using the statistical pattern recognition : approach is that of exploiting the methods of outlier analysis. Cast within the pattern recognition framework, : damage detection assesse...

Evidence appraisal: a scoping review, conceptual framework, and research agenda.

PubMed

Goldstein, Andrew; Venker, Eric; Weng, Chunhua

2017-11-01

Critical appraisal of clinical evidence promises to help prevent, detect, and address flaws related to study importance, ethics, validity, applicability, and reporting. These research issues are of growing concern. The purpose of this scoping review is to survey the current literature on evidence appraisal to develop a conceptual framework and an informatics research agenda. We conducted an iterative literature search of Medline for discussion or research on the critical appraisal of clinical evidence. After title and abstract review, 121 articles were included in the analysis. We performed qualitative thematic analysis to describe the evidence appraisal architecture and its issues and opportunities. From this analysis, we derived a conceptual framework and an informatics research agenda. We identified 68 themes in 10 categories. This analysis revealed that the practice of evidence appraisal is quite common but is rarely subjected to documentation, organization, validation, integration, or uptake. This is related to underdeveloped tools, scant incentives, and insufficient acquisition of appraisal data and transformation of the data into usable knowledge. The gaps in acquiring appraisal data, transforming the data into actionable information and knowledge, and ensuring its dissemination and adoption can be addressed with proven informatics approaches. Evidence appraisal faces several challenges, but implementing an informatics research agenda would likely help realize the potential of evidence appraisal for improving the rigor and value of clinical evidence. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Architectural Framework for Addressing Legacy Waste from the Cold War - 13611

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

Love, Gregory A.; Glazner, Christopher G.; Steckley, Sam

We present an architectural framework for the use of a hybrid simulation model of enterprise-wide operations used to develop system-level insight into the U.S. Department of Energy's (DOE) environmental cleanup of legacy nuclear waste at the Savannah River Site. We use this framework for quickly exploring policy and architectural options, analyzing plans, addressing management challenges and developing mitigation strategies for DOE Office of Environmental Management (EM). The socio-technical complexity of EM's mission compels the use of a qualitative approach to complement a more a quantitative discrete event modeling effort. We use this model-based analysis to pinpoint pressure and leverage pointsmore » and develop a shared conceptual understanding of the problem space and platform for communication among stakeholders across the enterprise in a timely manner. This approach affords the opportunity to discuss problems using a unified conceptual perspective and is also general enough that it applies to a broad range of capital investment/production operations problems. (authors)« less

Load Model Verification, Validation and Calibration Framework by Statistical Analysis on Field Data

NASA Astrophysics Data System (ADS)

Jiao, Xiangqing; Liao, Yuan; Nguyen, Thai

2017-11-01

Accurate load models are critical for power system analysis and operation. A large amount of research work has been done on load modeling. Most of the existing research focuses on developing load models, while little has been done on developing formal load model verification and validation (V&V) methodologies or procedures. Most of the existing load model validation is based on qualitative rather than quantitative analysis. In addition, not all aspects of model V&V problem have been addressed by the existing approaches. To complement the existing methods, this paper proposes a novel load model verification and validation framework that can systematically and more comprehensively examine load model's effectiveness and accuracy. Statistical analysis, instead of visual check, quantifies the load model's accuracy, and provides a confidence level of the developed load model for model users. The analysis results can also be used to calibrate load models. The proposed framework can be used as a guidance to systematically examine load models for utility engineers and researchers. The proposed method is demonstrated through analysis of field measurements collected from a utility system.

An Analysis of Some Pitfalls of Traditional Mentoring for Minorities and Women in Higher Education.

ERIC Educational Resources Information Center

McCormick, Theresa

This paper addresses the problems associated with mentoring programs for people of color and women in postsecondary education by providing a theoretical framework for their analysis, by exploring mentoring as a promising tool to help solve them, and by advocating the initiation of mentoring of minorities and women as a policy in school systems and…

Curriculum and Design Analysis of a Mathematics-Based Educational Television Program: A Case Study of Cyberchase Animated Television Series

ERIC Educational Resources Information Center

Yusop, Farrah Dina

2013-01-01

This paper presents a curriculum and design analyses of an Emmy-award winning children educational television series, Cyberchase. Using Posner's (2004) four process of curriculum analysis framework, this paper addresses each of the components and relates it to the design principles undertaken by the Cyberchase production team. Media and document…

A game theory analysis of green infrastructure stormwater management policies

NASA Astrophysics Data System (ADS)

William, Reshmina; Garg, Jugal; Stillwell, Ashlynn S.

2017-09-01

Green stormwater infrastructure has been demonstrated as an innovative water resources management approach that addresses multiple challenges facing urban environments. However, there is little consensus on what policy strategies can be used to best incentivize green infrastructure adoption by private landowners. Game theory, an analysis framework that has historically been under-utilized within the context of stormwater management, is uniquely suited to address this policy question. We used a cooperative game theory framework to investigate the potential impacts of different policy strategies used to incentivize green infrastructure installation. The results indicate that municipal regulation leads to the greatest reduction in pollutant loading. However, the choice of the "best" regulatory approach will depend on a variety of different factors including politics and financial considerations. Large, downstream agents have a disproportionate share of bargaining power. Results also reveal that policy impacts are highly dependent on agents' spatial position within the stormwater network, leading to important questions of social equity and environmental justice.

An Examination of New Counselor Mentor Programs

ERIC Educational Resources Information Center

Bass, Erin; Gardner, Lauren; Onwukaeme, Chika; Revere, Dawn; Shepherd, Denise; Parrish, Mark S.

2013-01-01

An analysis of current new counselor mentor programs reveals the need for such programs, but information regarding established programs is limited. A review of the literature addresses program characteristics and data obtained from existing mentor program participants. An overview of four programs explaining the framework outlined for mentoring…

Early Childhood Inclusion in Spain

ERIC Educational Resources Information Center

Giné, Climent; Balcells-Balcells, Anna; Cañadas, Margarita; Paniagua, Gema

2016-01-01

This article describes early childhood inclusion in educational settings in Spain. First, we address the legislative framework of preschool education in Spain and offer a brief analysis of some relevant issues, including the current situation of early childhood education and inclusion at this stage. Second, current policies and practices relating…

Stakeholders Analysis

ERIC Educational Resources Information Center

Delrio, Claudio; Ami, Zvi Ben; de Groot, Reuma; Drachmann, Raul; Ilomaki, Liisa

2008-01-01

The aim of this report is, first of all, to present the KP-Lab approach toward stakeholders in the wider framework of European policies. Secondly, the KP-Lab definition of stakeholders and the strategy to address different stakeholders needs, concerns and expectations is presented in the following paragraphs. The second chapter presents concrete…

Mathematical Problem Solving through Sequential Process Analysis

ERIC Educational Resources Information Center

Codina, A.; Cañadas, M. C.; Castro, E.

2015-01-01

Introduction: The macroscopic perspective is one of the frameworks for research on problem solving in mathematics education. Coming from this perspective, our study addresses the stages of thought in mathematical problem solving, offering an innovative approach because we apply sequential relations and global interrelations between the different…

Decision Analysis for a Sustainable Environment, Economy, and Society: A Participatory Framework for Ecosystem Services-Based Decision-Making

EPA Science Inventory

There is an increasing understanding that top-down regulatory and technology driven responses are not sufficient to address current and emerging environmental challenges such as climate change, sustainable communities, and environmental justice. The vast majority of environmenta...

Drinking water quality management: a holistic approach.

PubMed

Rizak, S; Cunliffe, D; Sinclair, M; Vulcano, R; Howard, J; Hrudey, S; Callan, P

2003-01-01

A growing list of water contaminants has led to some water suppliers relying primarily on compliance monitoring as a mechanism for managing drinking water quality. While such monitoring is a necessary part of drinking water quality management, experiences with waterborne disease threats and outbreaks have shown that compliance monitoring for numerical limits is not, in itself, sufficient to guarantee the safety and quality of drinking water supplies. To address these issues, the Australian National Health and Medical Research Council (NHMRC) has developed a Framework for Management of Drinking Water Quality (the Framework) for incorporation in the Australian Drinking Water Guidelines, the primary reference on drinking water quality in Australia. The Framework was developed specifically for drinking water supplies and provides a comprehensive and preventive risk management approach from catchment to consumer. It includes holistic guidance on a range of issues considered good practice for system management. The Framework addresses four key areas: Commitment to Drinking Water Quality Management, System Analysis and System Management, Supporting Requirements, and Review. The Framework represents a significantly enhanced approach to the management and regulation of drinking water quality and offers a flexible and proactive means of optimising drinking water quality and protecting public health. Rather than the primary reliance on compliance monitoring, the Framework emphasises prevention, the importance of risk assessment, maintaining the integrity of water supply systems and application of multiple barriers to assure protection of public health. Development of the Framework was undertaken in collaboration with the water industry, regulators and other stakeholder, and will promote a common and unified approach to drinking water quality management throughout Australia. The Framework has attracted international interest.

Sustainable development of process facilities: state-of-the-art review of pollution prevention frameworks.

PubMed

Hossain, Khandoker A; Khan, Faisal I; Hawboldt, Kelly

2008-01-15

Pollution prevention (P2) strategy is receiving significant attention in industries all over the world, over end-of-pipe pollution control and management strategy. This paper is a review of the existing pollution prevention frameworks. The reviewed frameworks contributed significantly to bring the P2 approach into practice and gradually improved it towards a sustainable solution; nevertheless, some objectives are yet to be achieved. In this context, the paper has proposed a P2 framework 'IP2M' addressing the limitations for systematic implementation of the P2 program in industries at design as well as retrofit stages. The main features of the proposed framework are that, firstly, it has integrated cradle-to-gate life cycle assessment (LCA) tool with other adequate P2 opportunity analysis tools in P2 opportunity analysis phase and secondly, it has re-used the risk-based cradle-to-gate LCA during the environmental evaluation of different P2 options. Furthermore, in multi-objective optimization phase, it simultaneously considers the P2 options with available end-of-pipe control options in order to select the sustainable environmental management option.

Status of health sector strategic plans in five countries of the WHO African Region.

PubMed

Barry, S P; Sambo, L G; Bakeera, S; Kirigia, J M; Diarra-Nama, A J

2009-01-01

To assess the adequacy of the existing strategic plans and compare the format and content of health sector strategic plans with the guidelines in selected countries of the African region. The health strategic plans for Gambia, Liberia, Malawi, Tanzania and Uganda, which are kept at the WHO/AFRO, were reviewed. All health strategic plans among the Anglophone countries (Gambia, Ghana, Kenya, Liberia, Malawi, Mauritius, Tanzania, Uganda, Zambia and Zimbabwe) that were developed after the year 2000 were eligible for inclusion. Fifty percent of these countries that fitted this criterion were randomly selected. They included Gambia, Liberia, Malawi, Tanzania and Uganda. The analysis framework used in the review included situation analysis; an assessment of appropriateness of strategies that are selected; well developed indicators for each strategy; the match between the service and outcomes targets with available resources; and existence of a clear framework for partnership engagement for implementation. Most of the strategic plans identify key ill health conditions and their contributing factors. Health service and resource gaps are described but not quantified in the Botswana, Gambia, Malawi, Tanzania strategic documents. Most of the plans selected strategies that related to the situational analysis. Generally, countries' plans had clear indicators. Matching service and outcome targets to available resources was the least addressed area in majority of the plans. Most of the strategic plans identified stakeholders and acknowledged their participation in the implementation, providing different levels of comprehensiveness. Some of the areas that are well addressed according to the analysis framework included: addressing the strategic concerns of the health policies; identifying key partners for implementation; and selection of appropriate strategies. The following areas needed more emphasis: quantification of health system gaps; setting targets that are cognisant of the local resource base; and being more explicit in what stakeholders' roles are during the implementation period.

Military Ecological Risk Assessment Framework (MERAF) for Assessment of Risks of Military Training and Testing to Natural Resources

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

Suter II, G.W.

2003-06-18

The objective of this research is to provide the DoD with a framework based on a systematic, risk-based approach to assess impacts for management of natural resources in an ecosystem context. This risk assessment framework is consistent with, but extends beyond, the EPA's ecological risk assessment framework, and specifically addresses DoD activities and management needs. MERAF is intended to be consistent with existing procedures for environmental assessment and planning with DoD testing and training. The intention is to supplement these procedures rather than creating new procedural requirements. MERAF is suitable for use for training and testing area assessment and management.more » It does not include human health risks nor does it address specific permitting or compliance requirements, although it may be useful in some of these cases. Use of MERAF fits into the National Environmental Policy Act (NEPA) process by providing a consistent and rigorous way of organizing and conducting the technical analysis for Environmental Impact Statements (EISs) (Sigal 1993; Carpenter 1995; Canter and Sadler 1997). It neither conflicts with, nor replaces, procedural requirements within the NEPA process or document management processes already in place within DoD.« less

A critical analysis of hazard resilience measures within sustainability assessment frameworks

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

Matthews, Elizabeth C., E-mail: echiso1@lsu.edu; Sattler, Meredith, E-mail: msattler@lsu.edu; Friedland, Carol J., E-mail: friedland@lsu.edu

Today, numerous sustainability assessment frameworks (SAFs) exist to guide designers in achieving sustainable performance in the design of structures and communities. SAFs are beneficial in educating users and are useful tools for incorporating sustainability strategies into planning, design, and construction; however, there is currently a substantial gap in the ability of existing SAFs to incorporate hazard resistance and hazard mitigation in the broader context of sustainable design. This paper analyzes the incorporation of hazard resistant design and hazard mitigation strategies within SAFs via a multi-level analysis of eleven SAFs. The SAFs analyzed range in scale of application (i.e. building, site,more » community). Three levels of analysis are presented: (1) macro-level analysis comparing the number of measures strictly addressing resilience versus sustainability, (2) meso-level analysis of the coverage of types of hazards within SAFs (e.g. flood, fire), and (3) micro-level analysis of SAF measures connected to flood-related hazard resilience. The results demonstrate that hazard resistance and hazard mitigation do not figure prominently in the intent of SAFs and that weaknesses in resilience coverage exist that have the potential to lead to the design of structures and communities that are still highly vulnerable to the impacts of extreme events. - Highlights: • Sustainability assessment frameworks (SAFs) were analyzed for resilience coverage • Hazard resistance and mitigation do not figure prominently in the intent of SAFs • Approximately 75% of SAFs analyzed address three or fewer hazards • Lack of economic measures within SAFs could impact resilience and sustainability • Resilience measures for flood hazards are not consistently included in SAFs.« less

A methodological framework to support the initiation, design and institutionalization of participatory modeling processes in water resources management

NASA Astrophysics Data System (ADS)

Halbe, Johannes; Pahl-Wostl, Claudia; Adamowski, Jan

2018-01-01

Multiple barriers constrain the widespread application of participatory methods in water management, including the more technical focus of most water agencies, additional cost and time requirements for stakeholder involvement, as well as institutional structures that impede collaborative management. This paper presents a stepwise methodological framework that addresses the challenges of context-sensitive initiation, design and institutionalization of participatory modeling processes. The methodological framework consists of five successive stages: (1) problem framing and stakeholder analysis, (2) process design, (3) individual modeling, (4) group model building, and (5) institutionalized participatory modeling. The Management and Transition Framework is used for problem diagnosis (Stage One), context-sensitive process design (Stage Two) and analysis of requirements for the institutionalization of participatory water management (Stage Five). Conceptual modeling is used to initiate participatory modeling processes (Stage Three) and ensure a high compatibility with quantitative modeling approaches (Stage Four). This paper describes the proposed participatory model building (PMB) framework and provides a case study of its application in Québec, Canada. The results of the Québec study demonstrate the applicability of the PMB framework for initiating and designing participatory model building processes and analyzing barriers towards institutionalization.

Climate change and nutrition: creating a climate for nutrition security.

PubMed

Tirado, M C; Crahay, P; Mahy, L; Zanev, C; Neira, M; Msangi, S; Brown, R; Scaramella, C; Costa Coitinho, D; Müller, A

2013-12-01

Climate change further exacerbates the enormous existing burden of undernutrition. It affects food and nutrition security and undermines current efforts to reduce hunger and promote nutrition. Undernutrition in turn undermines climate resilience and the coping strategies of vulnerable populations. The objectives of this paper are to identify and undertake a cross-sectoral analysis of the impacts of climate change on nutrition security and the existing mechanisms, strategies, and policies to address them. A cross-sectoral analysis of the impacts of climate change on nutrition security and the mechanisms and policies to address them was guided by an analytical framework focused on the three 'underlying causes' of undernutrition: 1) household food access, 2) maternal and child care and feeding practices, 3) environmental health and health access. The analytical framework includes the interactions of the three underlying causes of undernutrition with climate change,vulnerability, adaptation and mitigation. Within broad efforts on climate change mitigation and adaptation and climate-resilient development, a combination of nutrition-sensitive adaptation and mitigation measures, climate-resilient and nutrition-sensitive agricultural development, social protection, improved maternal and child care and health, nutrition-sensitive risk reduction and management, community development measures, nutrition-smart investments, increased policy coherence, and institutional and cross-sectoral collaboration are proposed as a means to address the impacts of climate change to food and nutrition security. This paper proposes policy directions to address nutrition in the climate change agenda and recommendations for consideration by the UN Framework Convention on Climate Change (UNFCCC). Nutrition and health stakeholders need to be engaged in key climate change adaptation and mitigation initiatives, including science-based assessment by the Intergovernmental Panel on Climate Change (IPCC), and policies and actions formulated by the UN Framework Convention on Climate Change (UNFCCC). Improved multi-sectoral coordination and political will is required to integrate nutrition-sensitive actions into climate-resilient sustainable development efforts in the UNFCCC work and in the post 2015 development agenda. Placing human rights at the center of strategies to mitigate and adapt to the impacts of climate change and international solidarity is essential to advance sustainable development and to create a climate for nutrition security.

Using the living laboratory framework as a basis for understanding next-generation analyst work

NASA Astrophysics Data System (ADS)

McNeese, Michael D.; Mancuso, Vincent; McNeese, Nathan; Endsley, Tristan; Forster, Pete

2013-05-01

The preparation of next generation analyst work requires alternative levels of understanding and new methodological departures from the way current work transpires. Current work practices typically do not provide a comprehensive approach that emphasizes the role of and interplay between (a) cognition, (b) emergent activities in a shared situated context, and (c) collaborative teamwork. In turn, effective and efficient problem solving fails to take place, and practice is often composed of piecemeal, techno-centric tools that isolate analysts by providing rigid, limited levels of understanding of situation awareness. This coupled with the fact that many analyst activities are classified produces a challenging situation for researching such phenomena and designing and evaluating systems to support analyst cognition and teamwork. Through our work with cyber, image, and intelligence analysts we have realized that there is more required of researchers to study human-centered designs to provide for analyst's needs in a timely fashion. This paper identifies and describes how The Living Laboratory Framework can be utilized as a means to develop a comprehensive, human-centric, and problem-focused approach to next generation analyst work, design, and training. We explain how the framework is utilized for specific cases in various applied settings (e.g., crisis management analysis, image analysis, and cyber analysis) to demonstrate its value and power in addressing an area of utmost importance to our national security. Attributes of analyst work settings are delineated to suggest potential design affordances that could help improve cognitive activities and awareness. Finally, the paper puts forth a research agenda for the use of the framework for future work that will move the analyst profession in a viable manner to address the concerns identified.

The Peril of Ignoring Middle School Student Speech Rights

ERIC Educational Resources Information Center

Hassenpflug, Ann

2016-01-01

Analysis of two recent federal court cases in which principals violated student speech rights offers guidance to middle school administrators as they attempt to address student expression. Characteristics of a successful school from the Association for Middle Level Education provide a framework for analyzing these cases in order to prevent…

IMPORTANT EXPOSURE FACTORS FOR CHILDREN AN ANALYSIS OF LABORATORY AND OBSERVATIONAL FIELD DATA CHARACTERIZING CUMULATIVE EXPOSURE TO PESTICIDES

EPA Science Inventory

In an effort to facilitate more realistic risk assessments that take into account unique childhood vulnerabilities to environmental toxicants, the U.S. EPA's National Exposure Research Laboratory (NERL) developed a framework for systematically identifying and addressing the most ...

On Their Own: How Thirty-One Tribal Colleges Address Five Educational Concepts

ERIC Educational Resources Information Center

Riding In, Leslie D.

2010-01-01

This qualitative research, specifically a content analysis of 31 tribal colleges' mission statements and curricula, examined how the colleges' curricula aligned with the five educational concepts suggested in the colleges' mission statements. Cajete's (1994) seven foundations to indigenous thinking proved to be a major theoretical framework which…

Nature-based supportive care opportunities: a conceptual framework.

PubMed

Blaschke, Sarah; O'Callaghan, Clare C; Schofield, Penelope

2018-03-22

Given preliminary evidence for positive health outcomes related to contact with nature for cancer populations, research is warranted to ascertain possible strategies for incorporating nature-based care opportunities into oncology contexts as additional strategies for addressing multidimensional aspects of cancer patients' health and recovery needs. The objective of this study was to consolidate existing research related to nature-based supportive care opportunities and generate a conceptual framework for discerning relevant applications in the supportive care setting. Drawing on research investigating nature-based engagement in oncology contexts, a two-step analytic process was used to construct a conceptual framework for guiding nature-based supportive care design and future research. Concept analysis methodology generated new representations of understanding by extracting and synthesising salient concepts. Newly formulated concepts were transposed to findings from related research about patient-reported and healthcare expert-developed recommendations for nature-based supportive care in oncology. Five theoretical concepts (themes) were formulated describing patients' reasons for engaging with nature and the underlying needs these interactions address. These included: connecting with what is genuinely valued, distancing from the cancer experience, meaning-making and reframing the cancer experience, finding comfort and safety, and vital nurturance. Eight shared patient and expert recommendations were compiled, which address the identified needs through nature-based initiatives. Eleven additional patient-reported recommendations attend to beneficial and adverse experiential qualities of patients' nature-based engagement and complete the framework. The framework outlines salient findings about helpful nature-based supportive care opportunities for ready access by healthcare practitioners, designers, researchers and patients themselves. © 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.

System Theoretic Frameworks for Mitigating Risk Complexity in the Nuclear Fuel Cycle

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

Williams, Adam David; Mohagheghi, Amir H.; Cohn, Brian

In response to the expansion of nuclear fuel cycle (NFC) activities -- and the associated suite of risks -- around the world, this project evaluated systems-based solutions for managing such risk complexity in multimodal and multi-jurisdictional international spent nuclear fuel (SNF) transportation. By better understanding systemic risks in SNF transportation, developing SNF transportation risk assessment frameworks, and evaluating these systems-based risk assessment frameworks, this research illustrated interdependency between safety, security, and safeguards risks is inherent in NFC activities and can go unidentified when each "S" is independently evaluated. Two novel system-theoretic analysis techniques -- dynamic probabilistic risk assessment (DPRA) andmore » system-theoretic process analysis (STPA) -- provide integrated "3S" analysis to address these interdependencies and the research results suggest a need -- and provide a way -- to reprioritize United States engagement efforts to reduce global nuclear risks. Lastly, this research identifies areas where Sandia National Laboratories can spearhead technical advances to reduce global nuclear dangers.« less

Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework

NASA Astrophysics Data System (ADS)

Sadegh, Mojtaba; Ragno, Elisa; AghaKouchak, Amir

2017-06-01

We present a newly developed Multivariate Copula Analysis Toolbox (MvCAT) which includes a wide range of copula families with different levels of complexity. MvCAT employs a Bayesian framework with a residual-based Gaussian likelihood function for inferring copula parameters and estimating the underlying uncertainties. The contribution of this paper is threefold: (a) providing a Bayesian framework to approximate the predictive uncertainties of fitted copulas, (b) introducing a hybrid-evolution Markov Chain Monte Carlo (MCMC) approach designed for numerical estimation of the posterior distribution of copula parameters, and (c) enabling the community to explore a wide range of copulas and evaluate them relative to the fitting uncertainties. We show that the commonly used local optimization methods for copula parameter estimation often get trapped in local minima. The proposed method, however, addresses this limitation and improves describing the dependence structure. MvCAT also enables evaluation of uncertainties relative to the length of record, which is fundamental to a wide range of applications such as multivariate frequency analysis.

Mixed messages: An evaluation of NHS Trust Social Media policies in the North West of England.

PubMed

Scragg, B; Shaikh, S; Robinson, L; Mercer, C

2017-08-01

Despite National Health Service (NHS) information strategy promoting the use of Social Media (SoMe) to encourage greater engagement between service users and providers, a team investigating online SoMe interaction between breast screening practitioners and clients found that practitioners alleged discouragement from employers' policies. This study aimed to investigate whether this barrier was genuine, and illuminate whether local policy differed from national strategy. The study used a qualitative grounded theory approach to generate a theory. Nine policies from the North West of England were analysed. A framework was derived from the data, and an analysis of policy tone followed by a detailed coding of policy content was undertaken. Comparative analysis continued by reviewing the literature, and a condensed framework revealed five broad categories that policies addressed. The analysis revealed the policies varied in content, but not in tone, which was mostly discouraging. Coding the content revealed that the most frequently addressed point was that of protecting the employers' reputation, and after further analysis, the resultant condensed framework showed that policies were imbalanced and heavily skewed towards Security, Conduct & Behaviour and Reputation. Practitioners within breast screening services are discouraged by overly prohibitive and prescriptive SoMe policies; with these varying tremendously in comprehensiveness, but with a narrow focus on security and employers reputation; in contrast with national strategy. Recommendations are that policy revision is undertaken with consultation by more than one stakeholder, and SoMe training is offered for all members of NHS staff. Copyright © 2017 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.

Obesity Policy Action framework and analysis grids for a comprehensive policy approach to reducing obesity.

PubMed

Sacks, G; Swinburn, B; Lawrence, M

2009-01-01

A comprehensive policy approach is needed to control the growing obesity epidemic. This paper proposes the Obesity Policy Action (OPA) framework, modified from the World Health Organization framework for the implementation of the Global Strategy on Diet, Physical Activity and Health, to provide specific guidance for governments to systematically identify areas for obesity policy action. The proposed framework incorporates three different public health approaches to addressing obesity: (i) 'upstream' policies influence either the broad social and economic conditions of society (e.g. taxation, education, social security) or the food and physical activity environments to make healthy eating and physical activity choices easier; (ii) 'midstream' policies are aimed at directly influencing population behaviours; and (iii) 'downstream' policies support health services and clinical interventions. A set of grids for analysing potential policies to support obesity prevention and management is presented. The general pattern that emerges from populating the analysis grids as they relate to the Australian context is that all sectors and levels of government, non-governmental organizations and private businesses have multiple opportunities to contribute to reducing obesity. The proposed framework and analysis grids provide a comprehensive approach to mapping the policy environment related to obesity, and a tool for identifying policy gaps, barriers and opportunities.

A theoretical framework for negotiating the path of emergency management multi-agency coordination.

PubMed

Curnin, Steven; Owen, Christine; Paton, Douglas; Brooks, Benjamin

2015-03-01

Multi-agency coordination represents a significant challenge in emergency management. The need for liaison officers working in strategic level emergency operations centres to play organizational boundary spanning roles within multi-agency coordination arrangements that are enacted in complex and dynamic emergency response scenarios creates significant research and practical challenges. The aim of the paper is to address a gap in the literature regarding the concept of multi-agency coordination from a human-environment interaction perspective. We present a theoretical framework for facilitating multi-agency coordination in emergency management that is grounded in human factors and ergonomics using the methodology of core-task analysis. As a result we believe the framework will enable liaison officers to cope more efficiently within the work domain. In addition, we provide suggestions for extending the theory of core-task analysis to an alternate high reliability environment. Copyright © 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Educational Story as a Tool for Addressing the Framework for Information Literacy for Higher Education

ERIC Educational Resources Information Center

Vossler, Joshua J.; Watts, John

2017-01-01

To integrate the Framework for Information Literacy for Higher Education into their professional practice, librarians are called upon to address both the cognitive and emotional aspects of their learners. The Framework does not provide prescriptive details for its own deployment, so it is up to individuals, departments, or entire libraries to…

Steps toward improving ethical evaluation in health technology assessment: a proposed framework.

PubMed

Assasi, Nazila; Tarride, Jean-Eric; O'Reilly, Daria; Schwartz, Lisa

2016-06-06

While evaluation of ethical aspects in health technology assessment (HTA) has gained much attention during the past years, the integration of ethics in HTA practice still presents many challenges. In response to the increasing demand for expansion of health technology assessment (HTA) methodology to include ethical issues more systematically, this article reports on a multi-stage study that aimed at construction of a framework for improving the integration of ethics in HTA. The framework was developed through the following phases: 1) a systematic review and content analysis of guidance documents for ethics in HTA; 2) identification of factors influencing the integration of ethical considerations in HTA; 3) preparation of an action-oriented framework based on the key elements of the existing guidance documents and identified barriers to and facilitators of their implementation; and 4) expert consultation and revision of the framework. The proposed framework consists of three main components: an algorithmic flowchart, which exhibits the different steps of an ethical inquiry throughout the HTA process, including: defining the objectives and scope of the evaluation, stakeholder analysis, assessing organizational capacity, framing ethical evaluation questions, ethical analysis, deliberation, and knowledge translation; a stepwise guide, which focuses on the task objectives and potential questions that are required to be addressed at each step; and a list of some commonly recommended or used tools to help facilitate the evaluation process. The proposed framework can be used to support and promote good practice in integration of ethics into HTA. However, further validation of the framework through case studies and expert consultation is required to establish its utility for HTA practice.

A decomposition model and voxel selection framework for fMRI analysis to predict neural response of visual stimuli.

PubMed

Raut, Savita V; Yadav, Dinkar M

2018-03-28

This paper presents an fMRI signal analysis methodology using geometric mean curve decomposition (GMCD) and mutual information-based voxel selection framework. Previously, the fMRI signal analysis has been conducted using empirical mean curve decomposition (EMCD) model and voxel selection on raw fMRI signal. The erstwhile methodology loses frequency component, while the latter methodology suffers from signal redundancy. Both challenges are addressed by our methodology in which the frequency component is considered by decomposing the raw fMRI signal using geometric mean rather than arithmetic mean and the voxels are selected from EMCD signal using GMCD components, rather than raw fMRI signal. The proposed methodologies are adopted for predicting the neural response. Experimentations are conducted in the openly available fMRI data of six subjects, and comparisons are made with existing decomposition models and voxel selection frameworks. Subsequently, the effect of degree of selected voxels and the selection constraints are analyzed. The comparative results and the analysis demonstrate the superiority and the reliability of the proposed methodology.

Human error analysis of commercial aviation accidents: application of the Human Factors Analysis and Classification system (HFACS).

PubMed

Wiegmann, D A; Shappell, S A

2001-11-01

The Human Factors Analysis and Classification System (HFACS) is a general human error framework originally developed and tested within the U.S. military as a tool for investigating and analyzing the human causes of aviation accidents. Based on Reason's (1990) model of latent and active failures, HFACS addresses human error at all levels of the system, including the condition of aircrew and organizational factors. The purpose of the present study was to assess the utility of the HFACS framework as an error analysis and classification tool outside the military. The HFACS framework was used to analyze human error data associated with aircrew-related commercial aviation accidents that occurred between January 1990 and December 1996 using database records maintained by the NTSB and the FAA. Investigators were able to reliably accommodate all the human causal factors associated with the commercial aviation accidents examined in this study using the HFACS system. In addition, the classification of data using HFACS highlighted several critical safety issues in need of intervention research. These results demonstrate that the HFACS framework can be a viable tool for use within the civil aviation arena. However, additional research is needed to examine its applicability to areas outside the flight deck, such as aircraft maintenance and air traffic control domains.

Evaluating How the Computer-Supported Collaborative Learning Community Fosters Critical Reflective Practices

ERIC Educational Resources Information Center

Ma, Ada W.W.

2013-01-01

In recent research, little attention has been paid to issues of methodology and analysis methods to evaluate the quality of the collaborative learning community. To address such issues, an attempt is made to adopt the Activity System Model as an analytical framework to examine the relationship between computer supported collaborative learning…

Linking a Conceptual Framework on Systems Thinking with Experiential Knowledge

ERIC Educational Resources Information Center

Garavito-Bermúdez, Diana; Lundholm, Cecilia; Crona, Beatrice

2016-01-01

This paper addresses a systemic approach for the study of fishers' ecological knowledge in order to describe fishers' ways of knowing and dealing with complexity in ecosystems, and discusses how knowledge is generated through, e.g. apprenticeship, experiential knowledge, and testing of hypotheses. The description and analysis of fishers'…

Researching Writing Events: Using Mediated Discourse Analysis to Explore How Students Write Together

ERIC Educational Resources Information Center

Rish, Ryan M.

2015-01-01

This article addresses how mediated discourse theory and related analytical tools can be used to explore how students write together. Considered within a sociocultural framework that conceptualises writing as involving distributed, mediated and dialogic processes of invention, this article presents an investigation of how three high school…

Power Analysis for Complex Mediational Designs Using Monte Carlo Methods

ERIC Educational Resources Information Center

Thoemmes, Felix; MacKinnon, David P.; Reiser, Mark R.

2010-01-01

Applied researchers often include mediation effects in applications of advanced methods such as latent variable models and linear growth curve models. Guidance on how to estimate statistical power to detect mediation for these models has not yet been addressed in the literature. We describe a general framework for power analyses for complex…

Work-Integrated Learning Process in Tourism Training Programs in Vietnam: Voices of Education and Industry

ERIC Educational Resources Information Center

Khuong, Cam Thi Hong

2016-01-01

This paper addresses the work-integrated learning (WIL) initiative embedded in selected tourism training programs in Vietnam. The research was grounded on the framework of stakeholder ethos. Drawing on tourism training curriculum analysis and interviews with lecturers, institutional leaders, industry managers and internship supervisors, this study…

Personal Oral Narratives in a Special School Curriculum: An Analysis of Key Documents

ERIC Educational Resources Information Center

Grove, Nicola

2014-01-01

Oral narrative is a critical skill for school achievement, for personal relationships and for social participation. However, it is downgraded in current and proposed National Curriculum frameworks, which fail to recognise its significance in development. Schools have flexibility to address the issue, which is of particular importance to pupils…

The Structure of Federal Policy: Deciphering the United States Code

ERIC Educational Resources Information Center

Staller, Karen M.

2004-01-01

CSWE mandates the study of social welfare policy, its history, and its evaluation; thus, assignments that require students to select policy for study are common. Educators provide frameworks for analysis but may not address the prerequisite step of locating policy for study, so students flounder in government documents without the tools to…

Cartographic Modeling: Computer-assisted Analysis of Spatially Defined Neighborhoods

NASA Technical Reports Server (NTRS)

Berry, J. K.; Tomlin, C. D.

1982-01-01

Cartographic models addressing a wide variety of applications are composed of fundamental map processing operations. These primitive operations are neither data base nor application-specific. By organizing the set of operations into a mathematical-like structure, the basis for a generalized cartographic modeling framework can be developed. Among the major classes of primitive operations are those associated with reclassifying map categories, overlaying maps, determining distance and connectivity, and characterizing cartographic neighborhoods. The conceptual framework of cartographic modeling is established and techniques for characterizing neighborhoods are used as a means of demonstrating some of the more sophisticated procedures of computer-assisted map analysis. A cartographic model for assessing effective roundwood supply is briefly described as an example of a computer analysis. Most of the techniques described have been implemented as part of the map analysis package developed at the Yale School of Forestry and Environmental Studies.

Why Map Issues? On Controversy Analysis as a Digital Method

PubMed Central

2015-01-01

This article takes stock of recent efforts to implement controversy analysis as a digital method in the study of science, technology, and society (STS) and beyond and outlines a distinctive approach to address the problem of digital bias. Digital media technologies exert significant influence on the enactment of controversy in online settings, and this risks undermining the substantive focus of controversy analysis conducted by digital means. To address this problem, I propose a shift in thematic focus from controversy analysis to issue mapping. The article begins by distinguishing between three broad frameworks that currently guide the development of controversy analysis as a digital method, namely, demarcationist, discursive, and empiricist. Each has been adopted in STS, but only the last one offers a digital “move beyond impartiality.” I demonstrate this approach by analyzing issues of Internet governance with the aid of the social media platform Twitter. PMID:26336325

Applying the World Health Organization Mental Health Action Plan to evaluate policy on addressing co-occurrence of physical and mental illnesses in Australia.

PubMed

Happell, Brenda; Platania-Phung, Chris; Webster, Stephanie; McKenna, Brian; Millar, Freyja; Stanton, Robert; Galletly, Cherrie; Castle, David; Furness, Trentham; Liu, Dennis; Scott, David

2015-09-01

The aim of the present study was to document Australian policies on the physical health of people with mental illness and evaluate the capacity of policy to support health needs. A search of state and federal policies on mental and physical illness was conducted, as well as detailed analysis of policy content and the relationships between policies, by applying the World Health Organization Mental Health Action Plan 2013-2020 as an evaluative framework. National policy attention to the physical health of people with mental illness has grown, but there is little interconnection at the national and state levels. State policies across the country are inconsistent, and there is little evidence of consistent policy implementation. A coherent national health policy framework on addressing co-occurring physical and mental illnesses that includes healthcare system reforms and ensuring the interconnectedness of other relevant services should be prioritised.

Framework for managing mycotoxin risks in the food industry.

PubMed

Baker, Robert C; Ford, Randall M; Helander, Mary E; Marecki, Janusz; Natarajan, Ramesh; Ray, Bonnie

2014-12-01

We propose a methodological framework for managing mycotoxin risks in the food processing industry. Mycotoxin contamination is a well-known threat to public health that has economic significance for the food processing industry; it is imperative to address mycotoxin risks holistically, at all points in the procurement, processing, and distribution pipeline, by tracking the relevant data, adopting best practices, and providing suitable adaptive controls. The proposed framework includes (i) an information and data repository, (ii) a collaborative infrastructure with analysis and simulation tools, (iii) standardized testing and acceptance sampling procedures, and (iv) processes that link the risk assessments and testing results to the sourcing, production, and product release steps. The implementation of suitable acceptance sampling protocols for mycotoxin testing is considered in some detail.

A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.

PubMed

Hui, David Shui Wing; Chen, Yi-Chao; Zhang, Gong; Wu, Weijie; Chen, Guanrong; Lui, John C S; Li, Yingtao

2017-06-16

This paper establishes a Markov chain model as a unified framework for describing the evolution processes in complex networks. The unique feature of the proposed model is its capability in addressing the formation mechanism that can reflect the "trichotomy" observed in degree distributions, based on which closed-form solutions can be derived. Important special cases of the proposed unified framework are those classical models, including Poisson, Exponential, Power-law distributed networks. Both simulation and experimental results demonstrate a good match of the proposed model with real datasets, showing its superiority over the classical models. Implications of the model to various applications including citation analysis, online social networks, and vehicular networks design, are also discussed in the paper.

An Overview of SAL

NASA Technical Reports Server (NTRS)

Bensalem, Saddek; Ganesh, Vijay; Lakhnech, Yassine; Munoz, Cesar; Owre, Sam; Ruess, Harald; Rushby, John; Rusu, Vlad; Saiedi, Hassen; Shankar, N.

2000-01-01

To become practical for assurance, automated formal methods must be made more scalable, automatic, and cost-effective. Such an increase in scope, scale, automation, and utility can be derived from an emphasis on a systematic separation of concerns during verification. SAL (Symbolic Analysis Laboratory) attempts to address these issues. It is a framework for combining different tools to calculate properties of concurrent systems. The heart of SAL is a language, developed in collaboration with Stanford, Berkeley, and Verimag for specifying concurrent systems in a compositional way. Our instantiation of the SAL framework augments PVS with tools for abstraction, invariant generation, program analysis (such as slicing), theorem proving, and model checking to separate concerns as well as calculate properties (i.e., perform, symbolic analysis) of concurrent systems. We. describe the motivation, the language, the tools, their integration in SAL/PAS, and some preliminary experience of their use.

Developing Optimized Trajectories Derived from Mission and Thermo-Structural Constraints

NASA Technical Reports Server (NTRS)

Lear, Matthew H.; McGrath, Brian E.; Anderson, Michael P.; Green, Peter W.

2008-01-01

In conjunction with NASA and the Department of Defense, the Johns Hopkins University Applied Physics Laboratory (JHU/APL) has been investigating analytical techniques to address many of the fundamental issues associated with solar exploration spacecraft and high-speed atmospheric vehicle systems. These issues include: thermo-structural response including the effects of thermal management via the use of surface optical properties for high-temperature composite structures; aerodynamics with the effects of non-equilibrium chemistry and gas radiation; and aero-thermodynamics with the effects of material ablation for a wide range of thermal protection system (TPS) materials. The need exists to integrate these discrete tools into a common framework that enables the investigation of interdisciplinary interactions (including analysis tool, applied load, and environment uncertainties) to provide high fidelity solutions. In addition to developing robust tools for the coupling of aerodynamically induced thermal and mechanical loads, JHU/APL has been studying the optimal design of high-speed vehicles as a function of their trajectory. Under traditional design methodology the optimization of system level mission parameters such as range and time of flight is performed independently of the optimization for thermal and mechanical constraints such as stress and temperature. A truly optimal trajectory should optimize over the entire range of mission and thermo-mechanical constraints. Under this research, a framework for the robust analysis of high-speed spacecraft and atmospheric vehicle systems has been developed. It has been built around a generic, loosely coupled framework such that a variety of readily available analysis tools can be used. The methodology immediately addresses many of the current analysis inadequacies and allows for future extension in order to handle more complex problems.

42 CFR 3.106 - Security requirements.

Code of Federal Regulations, 2012 CFR

2012-10-01

..., maintenance, storage, removal, disclosure, transmission and destruction. (b) Security framework. A PSO must... subsection. In addressing the framework that follows, the PSO may develop appropriate and scalable security...) Security management. A PSO must address: (i) Maintenance and effective implementation of written policies...

42 CFR 3.106 - Security requirements.

Code of Federal Regulations, 2013 CFR

2013-10-01

..., maintenance, storage, removal, disclosure, transmission and destruction. (b) Security framework. A PSO must... subsection. In addressing the framework that follows, the PSO may develop appropriate and scalable security...) Security management. A PSO must address: (i) Maintenance and effective implementation of written policies...

42 CFR 3.106 - Security requirements.

Code of Federal Regulations, 2014 CFR

2014-10-01

..., maintenance, storage, removal, disclosure, transmission and destruction. (b) Security framework. A PSO must... subsection. In addressing the framework that follows, the PSO may develop appropriate and scalable security...) Security management. A PSO must address: (i) Maintenance and effective implementation of written policies...

A framework for the definition of standardized protocols for measuring upper-extremity kinematics.

PubMed

Kontaxis, A; Cutti, A G; Johnson, G R; Veeger, H E J

2009-03-01

Increasing interest in upper extremity biomechanics has led to closer investigations of both segment movements and detailed joint motion. Unfortunately, conceptual and practical differences in the motion analysis protocols used up to date reduce compatibility for post data and cross validation analysis and so weaken the body of knowledge. This difficulty highlights a need for standardised protocols, each addressing a set of questions of comparable content. The aim of this work is therefore to open a discussion and propose a flexible framework to support: (1) the definition of standardised protocols, (2) a standardised description of these protocols, and (3) the formulation of general recommendations. Proposal of a framework for the definition of standardized protocols. The framework is composed by two nested flowcharts. The first defines what a motion analysis protocol is by pointing out its role in a motion analysis study. The second flowchart describes the steps to build a protocol, which requires decisions on the joints or segments to be investigated and the description of their mechanical equivalent model, the definition of the anatomical or functional coordinate frames, the choice of marker or sensor configuration and the validity of their use, the definition of the activities to be measured and the refinements that can be applied to the final measurements. Finally, general recommendations are proposed for each of the steps based on the current literature, and open issues are highlighted for future investigation and standardisation. Standardisation of motion analysis protocols is urgent. The proposed framework can guide this process through the rationalisation of the approach.

Elements of an integrated health monitoring framework

NASA Astrophysics Data System (ADS)

Fraser, Michael; Elgamal, Ahmed; Conte, Joel P.; Masri, Sami; Fountain, Tony; Gupta, Amarnath; Trivedi, Mohan; El Zarki, Magda

2003-07-01

Internet technologies are increasingly facilitating real-time monitoring of Bridges and Highways. The advances in wireless communications for instance, are allowing practical deployments for large extended systems. Sensor data, including video signals, can be used for long-term condition assessment, traffic-load regulation, emergency response, and seismic safety applications. Computer-based automated signal-analysis algorithms routinely process the incoming data and determine anomalies based on pre-defined response thresholds and more involved signal analysis techniques. Upon authentication, appropriate action may be authorized for maintenance, early warning, and/or emergency response. In such a strategy, data from thousands of sensors can be analyzed with near real-time and long-term assessment and decision-making implications. Addressing the above, a flexible and scalable (e.g., for an entire Highway system, or portfolio of Networked Civil Infrastructure) software architecture/framework is being developed and implemented. This framework will network and integrate real-time heterogeneous sensor data, database and archiving systems, computer vision, data analysis and interpretation, physics-based numerical simulation of complex structural systems, visualization, reliability & risk analysis, and rational statistical decision-making procedures. Thus, within this framework, data is converted into information, information into knowledge, and knowledge into decision at the end of the pipeline. Such a decision-support system contributes to the vitality of our economy, as rehabilitation, renewal, replacement, and/or maintenance of this infrastructure are estimated to require expenditures in the Trillion-dollar range nationwide, including issues of Homeland security and natural disaster mitigation. A pilot website (http://bridge.ucsd.edu/compositedeck.html) currently depicts some basic elements of the envisioned integrated health monitoring analysis framework.

Alternatives Assessment Frameworks: Research Needs for the Informed Substitution of Hazardous Chemicals

PubMed Central

Jacobs, Molly M.; Malloy, Timothy F.; Tickner, Joel A.; Edwards, Sally

2015-01-01

Background Given increasing pressures for hazardous chemical replacement, there is growing interest in alternatives assessment to avoid substituting a toxic chemical with another of equal or greater concern. Alternatives assessment is a process for identifying, comparing, and selecting safer alternatives to chemicals of concern (including those used in materials, processes, or technologies) on the basis of their hazards, performance, and economic viability. Objectives The purposes of this substantive review of alternatives assessment frameworks are to identify consistencies and differences in methods and to outline needs for research and collaboration to advance science policy practice. Methods This review compares methods used in six core components of these frameworks: hazard assessment, exposure characterization, life-cycle impacts, technical feasibility evaluation, economic feasibility assessment, and decision making. Alternatives assessment frameworks published from 1990 to 2014 were included. Results Twenty frameworks were reviewed. The frameworks were consistent in terms of general process steps, but some differences were identified in the end points addressed. Methodological gaps were identified in the exposure characterization, life-cycle assessment, and decision–analysis components. Methods for addressing data gaps remain an issue. Discussion Greater consistency in methods and evaluation metrics is needed but with sufficient flexibility to allow the process to be adapted to different decision contexts. Conclusion Although alternatives assessment is becoming an important science policy field, there is a need for increased cross-disciplinary collaboration to refine methodologies in support of the informed substitution and design of safer chemicals, materials, and products. Case studies can provide concrete lessons to improve alternatives assessment. Citation Jacobs MM, Malloy TF, Tickner JA, Edwards S. 2016. Alternatives assessment frameworks: research needs for the informed substitution of hazardous chemicals. Environ Health Perspect 124:265–280; http://dx.doi.org/10.1289/ehp.1409581 PMID:26339778

Inferential Framework for Autonomous Cryogenic Loading Operations

NASA Technical Reports Server (NTRS)

Luchinsky, Dmitry G.; Khasin, Michael; Timucin, Dogan; Sass, Jared; Perotti, Jose; Brown, Barbara

2017-01-01

We address problem of autonomous cryogenic management of loading operations on the ground and in space. As a step towards solution of this problem we develop a probabilistic framework for inferring correlations parameters of two-fluid cryogenic flow. The simulation of two-phase cryogenic flow is performed using nearly-implicit scheme. A concise set of cryogenic correlations is introduced. The proposed approach is applied to an analysis of the cryogenic flow in experimental Propellant Loading System built at NASA KSC. An efficient simultaneous optimization of a large number of model parameters is demonstrated and a good agreement with the experimental data is obtained.

Critical analysis of e-health readiness assessment frameworks: suitability for application in developing countries.

PubMed

Mauco, Kabelo Leonard; Scott, Richard E; Mars, Maurice

2018-02-01

Introduction e-Health is an innovative way to make health services more effective and efficient and application is increasing worldwide. e-Health represents a substantial ICT investment and its failure usually results in substantial losses in time, money (including opportunity costs) and effort. Therefore it is important to assess e-health readiness prior to implementation. Several frameworks have been published on e-health readiness assessment, under various circumstances and geographical regions of the world. However, their utility for the developing world is unknown. Methods A literature review and analysis of published e-health readiness assessment frameworks or models was performed to determine if any are appropriate for broad assessment of e-health readiness in the developing world. A total of 13 papers described e-health readiness in different settings. Results and Discussion Eight types of e-health readiness were identified and no paper directly addressed all of these. The frameworks were based upon varying assumptions and perspectives. There was no underlying unifying theory underpinning the frameworks. Few assessed government and societal readiness, and none cultural readiness; all are important in the developing world. While the shortcomings of existing frameworks have been highlighted, most contain aspects that are relevant and can be drawn on when developing a framework and assessment tools for the developing world. What emerged is the need to develop different assessment tools for the various stakeholder sectors. This is an area that needs further research before attempting to develop a more generic framework for the developing world.

Holocaust Education: Analysis of Curricula and Frameworks: A Case Study of Illinois

ERIC Educational Resources Information Center

Ragland, Rachel G.; Rosenstein, Daniel

2014-01-01

This article addresses how far educational institutions have come in designing authentic and meaningful curricula for teaching the Holocaust at the secondary level. Examined in this article are the historical development of Holocaust education in the United States, with a focus on the state of Illinois as a case study, what contributes to the…

The Challenge of Separating Effects of Simultaneous Education Projects on Student Achievement

ERIC Educational Resources Information Center

Ma, Xin; Ma, Lingling

2009-01-01

When multiple education projects operate in an overlapping or rear-ended manner, it is always a challenge to separate unique project effects on schooling outcomes. Our analysis represents a first attempt to address this challenge. A three-level hierarchical linear model (HLM) was presented as a general analytical framework to separate program…

Authentic Early Experience in Medical Education: A Socio-Cultural Analysis Identifying Important Variables in Learning Interactions within Workplaces

ERIC Educational Resources Information Center

Yardley, Sarah; Brosnan, Caragh; Richardson, Jane; Hays, Richard

2013-01-01

This paper addresses the question "what are the variables influencing social interactions and learning during Authentic Early Experience (AEE)?" AEE is a complex educational intervention for new medical students. Following critique of the existing literature, multiple qualitative methods were used to create a study framework conceptually…

Ethnicity identification from face images

NASA Astrophysics Data System (ADS)

Lu, Xiaoguang; Jain, Anil K.

2004-08-01

Human facial images provide the demographic information, such as ethnicity and gender. Conversely, ethnicity and gender also play an important role in face-related applications. Image-based ethnicity identification problem is addressed in a machine learning framework. The Linear Discriminant Analysis (LDA) based scheme is presented for the two-class (Asian vs. non-Asian) ethnicity classification task. Multiscale analysis is applied to the input facial images. An ensemble framework, which integrates the LDA analysis for the input face images at different scales, is proposed to further improve the classification performance. The product rule is used as the combination strategy in the ensemble. Experimental results based on a face database containing 263 subjects (2,630 face images, with equal balance between the two classes) are promising, indicating that LDA and the proposed ensemble framework have sufficient discriminative power for the ethnicity classification problem. The normalized ethnicity classification scores can be helpful in the facial identity recognition. Useful as a "soft" biometric, face matching scores can be updated based on the output of ethnicity classification module. In other words, ethnicity classifier does not have to be perfect to be useful in practice.

Culture in Asian American community psychology: beyond the East-West binary.

PubMed

Okazaki, Sumie; Saw, Anne

2011-03-01

In response to a call to better integrate culture in community psychology (O'Donnell in American Journal of Community Psychology 37:1-7 2006), we offer a cultural-community framework to facilitate a collaborative engagement between community psychologists and ethnic minority communities, focusing on Asian American communities as illustrations. Extending Hays' (Addressing cultural complexities in practice: Assessment, diagnosis, and therapy, American Psychological Association, Washington, DC, 2008) ADDRESSING framework for considering cultural influences on a counseling relationship, the proposed framework provides a broad but systematic guidepost for considering three major cultural-ecological influences on Asian American communities: Race and Ethnicity (R), Culture (C), and Immigration and Transnational Ties (I). We provide a sequence of steps that incorporate the ADDRESSING and the RCI frameworks to facilitate the collaborative community-based research or social action.

A statistical framework for multiparameter analysis at the single-cell level.

PubMed

Torres-García, Wandaliz; Ashili, Shashanka; Kelbauskas, Laimonas; Johnson, Roger H; Zhang, Weiwen; Runger, George C; Meldrum, Deirdre R

2012-03-01

Phenotypic characterization of individual cells provides crucial insights into intercellular heterogeneity and enables access to information that is unavailable from ensemble averaged, bulk cell analyses. Single-cell studies have attracted significant interest in recent years and spurred the development of a variety of commercially available and research-grade technologies. To quantify cell-to-cell variability of cell populations, we have developed an experimental platform for real-time measurements of oxygen consumption (OC) kinetics at the single-cell level. Unique challenges inherent to these single-cell measurements arise, and no existing data analysis methodology is available to address them. Here we present a data processing and analysis method that addresses challenges encountered with this unique type of data in order to extract biologically relevant information. We applied the method to analyze OC profiles obtained with single cells of two different cell lines derived from metaplastic and dysplastic human Barrett's esophageal epithelium. In terms of method development, three main challenges were considered for this heterogeneous dynamic system: (i) high levels of noise, (ii) the lack of a priori knowledge of single-cell dynamics, and (iii) the role of intercellular variability within and across cell types. Several strategies and solutions to address each of these three challenges are presented. The features such as slopes, intercepts, breakpoint or change-point were extracted for every OC profile and compared across individual cells and cell types. The results demonstrated that the extracted features facilitated exposition of subtle differences between individual cells and their responses to cell-cell interactions. With minor modifications, this method can be used to process and analyze data from other acquisition and experimental modalities at the single-cell level, providing a valuable statistical framework for single-cell analysis.

Evaluation Framework and Analyses for Thermal Energy Storage Integrated with Packaged Air Conditioning

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

Kung, F.; Deru, M.; Bonnema, E.

2013-10-01

Few third-party guidance documents or tools are available for evaluating thermal energy storage (TES) integrated with packaged air conditioning (AC), as this type of TES is relatively new compared to TES integrated with chillers or hot water systems. To address this gap, researchers at the National Renewable Energy Laboratory conducted a project to improve the ability of potential technology adopters to evaluate TES technologies. Major project outcomes included: development of an evaluation framework to describe key metrics, methodologies, and issues to consider when assessing the performance of TES systems integrated with packaged AC; application of multiple concepts from the evaluationmore » framework to analyze performance data from four demonstration sites; and production of a new simulation capability that enables modeling of TES integrated with packaged AC in EnergyPlus. This report includes the evaluation framework and analysis results from the project.« less

A framework for service enterprise workflow simulation with multi-agents cooperation

NASA Astrophysics Data System (ADS)

Tan, Wenan; Xu, Wei; Yang, Fujun; Xu, Lida; Jiang, Chuanqun

2013-11-01

Process dynamic modelling for service business is the key technique for Service-Oriented information systems and service business management, and the workflow model of business processes is the core part of service systems. Service business workflow simulation is the prevalent approach to be used for analysis of service business process dynamically. Generic method for service business workflow simulation is based on the discrete event queuing theory, which is lack of flexibility and scalability. In this paper, we propose a service workflow-oriented framework for the process simulation of service businesses using multi-agent cooperation to address the above issues. Social rationality of agent is introduced into the proposed framework. Adopting rationality as one social factor for decision-making strategies, a flexible scheduling for activity instances has been implemented. A system prototype has been developed to validate the proposed simulation framework through a business case study.

Assessing sustainable remediation frameworks using sustainability principles.

PubMed

Ridsdale, D Reanne; Noble, Bram F

2016-12-15

The remediation industry has grown exponentially in recent decades. International organizations of practitioners and remediation experts have developed several frameworks for integrating sustainability into remediation projects; however, there has been limited attention to how sustainability is approached and operationalized in sustainable remediation frameworks and practices - or whether sustainability plays any meaningful role at all in sustainable remediation. This paper examines how sustainability is represented in remediation frameworks and the guidance provided for practical application. Seven broad sustainability principles and review criteria are proposed and applied to a sample of six international remediation frameworks. Not all review criteria were equally satisfied and none of the frameworks fully met all criteria; however, the best performing frameworks were those identified as sustainability remediation frameworks. Intra-generational equity was addressed by all frameworks. Integrating social, economic and biophysical components beyond triple-bottom-line indicators was explicitly addressed only by the sustainable remediation frameworks. No frameworks provided principle- or rule-based guidance for dealing with trade-offs in sustainability decisions. Copyright © 2016 Elsevier Ltd. All rights reserved.

Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care.

PubMed

Betancourt, Joseph R; Green, Alexander R; Carrillo, J Emilio; Ananeh-Firempong, Owusu

2003-01-01

Racial/ethnic disparities in health in the U.S. have been well described. The field of "cultural competence" has emerged as one strategy to address these disparities. Based on a review of the relevant literature, the authors develop a definition of cultural competence, identify key components for intervention, and describe a practical framework for implementation of measures to address racial/ethnic disparities in health and health care. The authors conducted a literature review of academic, foundation, and government publications focusing on sociocultural barriers to care, the level of the health care system at which a given barrier occurs, and cultural competence efforts that address these barriers. Sociocultural barriers to care were identified at the organizational (leadership/workforce), structural (processes of care), and clinical (provider-patient encounter) levels. A framework of cultural competence interventions--including minority recruitment into the health professions, development of interpreter services and language-appropriate health educational materials, and provider education on cross-cultural issues--emerged to categorize strategies to address racial/ethnic disparities in health and health care. Demographic changes anticipated over the next decade magnify the importance of addressing racial/ethnic disparities in health and health care. A framework of organizational, structural, and clinical cultural competence interventions can facilitate the elimination of these disparities and improve care for all Americans.

A descriptive framework for country-level analysis of health care financing arrangements.

PubMed

Kutzin, J

2001-06-01

Health financing policies are marked by confusion between policy tools and policy objectives, especially in low and middle income countries. This paper attempts to address this problem by providing a conceptual framework that is driven by the normative objective of enhancing the 'insurance function' (access to needed care without financial impoverishment) of health care systems. The framework is proposed as a tool for descriptive analysis of the key functions, policies, and interactions within an existing health care system, and equally as a tool to assist the identification and preliminary assessment of policy options. The aim is to help to clarify the policy levers that are available to enhance the insurance function for the population as efficiently as possible, given the 'starting point' of a country's existing institutional and organizational arrangements. Analysis of health care financing systems using this framework highlights the interactions of various policies and the need for a coherent package of coordinated reforms, rather than a focus on particular organizational forms of 'health insurance'. The content of each main health care system function (revenue collection, pooling of funds, purchasing of services, provision of services) and the market structure with which the implementation of each is organized are found to be particularly important, as are policies with respect to the benefit package and user fees.

Design framework for spherical microphone and loudspeaker arrays in a multiple-input multiple-output system.

PubMed

Morgenstern, Hai; Rafaely, Boaz; Noisternig, Markus

2017-03-01

Spherical microphone arrays (SMAs) and spherical loudspeaker arrays (SLAs) facilitate the study of room acoustics due to the three-dimensional analysis they provide. More recently, systems that combine both arrays, referred to as multiple-input multiple-output (MIMO) systems, have been proposed due to the added spatial diversity they facilitate. The literature provides frameworks for designing SMAs and SLAs separately, including error analysis from which the operating frequency range (OFR) of an array is defined. However, such a framework does not exist for the joint design of a SMA and a SLA that comprise a MIMO system. This paper develops a design framework for MIMO systems based on a model that addresses errors and highlights the importance of a matched design. Expanding on a free-field assumption, errors are incorporated separately for each array and error bounds are defined, facilitating error analysis for the system. The dependency of the error bounds on the SLA and SMA parameters is studied and it is recommended that parameters should be chosen to assure matched OFRs of the arrays in MIMO system design. A design example is provided, demonstrating the superiority of a matched system over an unmatched system in the synthesis of directional room impulse responses.

New developments in the evolution and application of the WHO/IPCS framework on mode of action/species concordance analysis.

PubMed

Meek, M E; Boobis, A; Cote, I; Dellarco, V; Fotakis, G; Munn, S; Seed, J; Vickers, C

2014-01-01

The World Health Organization/International Programme on Chemical Safety mode of action/human relevance framework has been updated to reflect the experience acquired in its application and extend its utility to emerging areas in toxicity testing and non-testing methods. The underlying principles have not changed, but the framework's scope has been extended to enable integration of information at different levels of biological organization and reflect evolving experience in a much broader range of potential applications. Mode of action/species concordance analysis can also inform hypothesis-based data generation and research priorities in support of risk assessment. The modified framework is incorporated within a roadmap, with feedback loops encouraging continuous refinement of fit-for-purpose testing strategies and risk assessment. Important in this construct is consideration of dose-response relationships and species concordance analysis in weight of evidence. The modified Bradford Hill considerations have been updated and additionally articulated to reflect increasing experience in application for cases where the toxicological outcome of chemical exposure is known. The modified framework can be used as originally intended, where the toxicological effects of chemical exposure are known, or in hypothesizing effects resulting from chemical exposure, using information on putative key events in established modes of action from appropriate in vitro or in silico systems and other lines of evidence. This modified mode of action framework and accompanying roadmap and case examples are expected to contribute to improving transparency in explicitly addressing weight of evidence considerations in mode of action/species concordance analysis based on both conventional data sources and evolving methods. Copyright © 2013 John Wiley & Sons, Ltd. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.

A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON

PubMed Central

King, James G.; Hines, Michael; Hill, Sean; Goodman, Philip H.; Markram, Henry; Schürmann, Felix

2008-01-01

As neuronal simulations approach larger scales with increasing levels of detail, the neurosimulator software represents only a part of a chain of tools ranging from setup, simulation, interaction with virtual environments to analysis and visualizations. Previously published approaches to abstracting simulator engines have not received wide-spread acceptance, which in part may be to the fact that they tried to address the challenge of solving the model specification problem. Here, we present an approach that uses a neurosimulator, in this case NEURON, to describe and instantiate the network model in the simulator's native model language but then replaces the main integration loop with its own. Existing parallel network models are easily adopted to run in the presented framework. The presented approach is thus an extension to NEURON but uses a component-based architecture to allow for replaceable spike exchange components and pluggable components for monitoring, analysis, or control that can run in this framework alongside with the simulation. PMID:19430597

Using Bayesian networks to guide the assessment of new evidence in an appeal case

PubMed Central

Smit, Nadine M.; Lagnado, David A.; Morgan, Ruth M.; Fenton, Norman E.

2016-01-01

When new forensic evidence becomes available after a conviction there is no systematic framework to help lawyers to determine whether it raises sufficient questions about the verdict in order to launch an appeal. This paper presents such a framework driven by a recent case, in which a defendant was convicted primarily on the basis of audio evidence, but where subsequent analysis of the evidence revealed additional sounds that were not considered during the trial. The framework is intended to overcome the gap between what is generally known from scientific analyses and what is hypothesized in a legal setting. It is based on Bayesian networks (BNs) which have the potential to be a structured and understandable way to evaluate the evidence in a specific case context. However, BN methods suffered a setback with regards to the use in court due to the confusing way they have been used in some legal cases in the past. To address this concern, we show the extent to which the reasoning and decisions within the particular case can be made explicit and transparent. The BN approach enables us to clearly define the relevant propositions and evidence, and uses sensitivity analysis to assess the impact of the evidence under different assumptions. The results show that such a framework is suitable to identify information that is currently missing, yet clearly crucial for a valid and complete reasoning process. Furthermore, a method is provided whereby BNs can serve as a guide to not only reason with incomplete evidence in forensic cases, but also identify very specific research questions that should be addressed to extend the evidence base and solve similar issues in the future. PMID:27376015

Using Bayesian networks to guide the assessment of new evidence in an appeal case.

PubMed

Smit, Nadine M; Lagnado, David A; Morgan, Ruth M; Fenton, Norman E

2016-05-25

When new forensic evidence becomes available after a conviction there is no systematic framework to help lawyers to determine whether it raises sufficient questions about the verdict in order to launch an appeal. This paper presents such a framework driven by a recent case, in which a defendant was convicted primarily on the basis of audio evidence, but where subsequent analysis of the evidence revealed additional sounds that were not considered during the trial. The framework is intended to overcome the gap between what is generally known from scientific analyses and what is hypothesized in a legal setting. It is based on Bayesian networks (BNs) which have the potential to be a structured and understandable way to evaluate the evidence in a specific case context. However, BN methods suffered a setback with regards to the use in court due to the confusing way they have been used in some legal cases in the past. To address this concern, we show the extent to which the reasoning and decisions within the particular case can be made explicit and transparent. The BN approach enables us to clearly define the relevant propositions and evidence, and uses sensitivity analysis to assess the impact of the evidence under different assumptions. The results show that such a framework is suitable to identify information that is currently missing, yet clearly crucial for a valid and complete reasoning process. Furthermore, a method is provided whereby BNs can serve as a guide to not only reason with incomplete evidence in forensic cases, but also identify very specific research questions that should be addressed to extend the evidence base and solve similar issues in the future.

An analysis of local government health policy against state priorities and a social determinants framework.

PubMed

Browne, Geoffrey R; Davern, Melanie T; Giles-Corti, Billie

2016-04-01

Victorian local governments are required to develop Municipal Public Health and Wellbeing Plans that incorporate state-level health planning priorities and address the social determinants of health. This paper describes a novel method for evaluating councils' performance against these requirements. Deductive content analysis was used to categorise all actions in 14 local government MPHWPs against Victorian state priorities as well as against social determinants of health policy areas. More than 1,000 actions were identified. However, fewer than half directly addressed a state priority, with many actions addressing policy areas known to be broader determinants of health. In particular, there was a marked focus on leisure and culture, and on building social cohesion through changes to living and working conditions. Councils are working beyond state priorities and there was a clear emphasis on addressing the diverse upstream 'causes of the causes' of health, rather than health promotion behaviour change programs. The approach for data analysis and presentation provides a useful method for rapid appraisal of health and wellbeing actions relative to councils', and the State's, responsibility and efficacy in public health. © 2015 Public Health Association of Australia.

Is Aboriginal nutrition a priority for local government? A policy analysis.

PubMed

Helson, Catherine; Walker, Ruth; Palermo, Claire; Rounsefell, Kim; Aron, Yudit; MacDonald, Catherine; Atkinson, Petah; Browne, Jennifer

2017-11-01

The present study aimed to explore how Australian local governments prioritise the health and well-being of Aboriginal populations and the extent to which nutrition is addressed by local government health policy. In the state of Victoria, Australia, all seventy-nine local governments' public health policy documents were retrieved. Inclusion of Aboriginal health and nutrition in policy documents was analysed using quantitative content analysis. Representation of Aboriginal nutrition 'problems' and 'solutions' was examined using qualitative framing analysis. The socio-ecological framework was used to classify the types of Aboriginal nutrition issues and strategies within policy documents. Victoria, Australia. Local governments' public health policy documents (n 79). A small proportion (14 %, n 11) of local governments addressed Aboriginal health and well-being in terms of nutrition. Where strategies aimed at nutrition existed, they mostly focused on individual factors rather than the broader macroenvironment. A limited number of Victorian local governments address nutrition as a health issue for their Aboriginal populations in policy documents. Nutrition needs to be addressed as a community and social responsibility rather than merely an individual 'behaviour'. Partnerships are required to ensure Aboriginal people lead government policy development.

Responsive space: Concept analysis and theoretical framework

NASA Astrophysics Data System (ADS)

Saleh, Joseph H.; Dubos, Gregory F.

2009-08-01

Customers' needs are dynamic and evolve in response to unfolding environmental uncertainties. The ability of a company or an industry to address these changing customers' needs in a timely and cost-effective way is a measure of its responsiveness. In the space industry, a systemic discrepancy exists between the time constants associated with the change of customers' needs, and the response time of the industry in delivering on-orbit solutions to these needs. There are important penalties associated with such delays, and space responsiveness is recognized as a strategic imperative in commercial competitive and military environments. In this paper, we provide a critical assessment of the literature on responsive space and introduce a new multi-disciplinary framework for thinking about and addressing issues of space responsiveness. Our framework advocates three levels of responsiveness: a global industry-wide responsiveness, a local stakeholder responsiveness, and an interactive or inter-stakeholder responsiveness. We introduce and motivate the use of "responsiveness maps" for multiple stakeholders. We then identify "levers of responsiveness": technical spacecraft- and launch-centric, as well as "soft" levers (e.g., acquisition policies) for improving the responsiveness of the space industry. Finally, we propose a series of research questions to aggressively tackle problems associated with space responsiveness.

A framework for regional primary health care to organise actions to address health inequities.

PubMed

Freeman, Toby; Javanparast, Sara; Baum, Fran; Ziersch, Anna; Mackean, Tamara

2018-06-01

Regional primary health-care organisations plan, co-ordinate, and fund some primary health-care services in a designated region. This article presents a framework for examining the equity performance of regional primary health-care organisations, and applies it to Australian Medicare Locals (funded from 2011 to 2015). The framework was developed based on theory, literature, and researcher deliberation. Data were drawn from Medicare Local documents, an online survey of 210 senior Medicare Local staff, and interviews with 50 survey respondents. The framework encompassed equity in planning, collection of equity data, community engagement, and strategies to address equity in access, health outcomes, and social determinants of health. When the framework was applied to Medicare Locals, their inclusion of equity as a goal, collection of equity data, community engagement, and actions improving equity of access were strong, but there were gaps in broader advocacy, and strategies to address social determinants of health, and equity in quality of care. The equity framework allows a platform for advancing knowledge and international comparison of the health equity efforts of regional primary health-care organisations.

Reporting of meta-analyses of randomized controlled trials with a focus on drug safety: an empirical assessment.

PubMed

Hammad, Tarek A; Neyarapally, George A; Pinheiro, Simone P; Iyasu, Solomon; Rochester, George; Dal Pan, Gerald

2013-01-01

Due to the sparse nature of serious drug-related adverse events (AEs), meta-analyses combining data from several randomized controlled trials (RCTs) to evaluate drug safety issues are increasingly being conducted and published, influencing clinical and regulatory decision making. Evaluation of meta-analyses involves the assessment of both the individual constituent trials and the approaches used to combine them. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting framework is designed to enhance the reporting of systematic reviews and meta-analyses. However, PRISMA may not cover all critical elements useful in the evaluation of meta-analyses with a focus on drug safety particularly in the regulatory-public health setting. This work was conducted to (1) evaluate the adherence of a sample of published drug safety-focused meta-analyses to the PRISMA reporting framework, (2) identify gaps in this framework based on key aspects pertinent to drug safety, and (3) stimulate the development and validation of a more comprehensive reporting tool that incorporates elements unique to drug safety evaluation. We selected a sample of meta-analyses of RCTs based on review of abstracts from high-impact journals as well as top medical specialty journals between 2009 and 2011. We developed a preliminary reporting framework based on PRISMA with specific additional reporting elements critical for the evaluation of drug safety meta-analyses of RCTs. The reporting of pertinent elements in each meta-analysis was reviewed independently by two authors; discrepancies in the independent evaluations were resolved through discussions between the two authors. A total of 27 meta-analyses, 12 from highest impact journals, 13 from specialty medical journals, and 2 from Cochrane reviews, were identified and evaluated. The great majority (>85%) of PRISMA elements were addressed in more than half of the meta-analyses reviewed. However, the majority of meta-analyses (>60%) did not address most (>80%) of the additional reporting elements critical for the evaluation of drug safety. Some of these elements were not addressed in any of the reviewed meta-analyses. This review included a sample of meta-analyses, with a focus on drug safety, recently published in high-impact journals; therefore, we may have underestimated the extent of the reporting problem across all meta-analyses of drug safety. Furthermore, temporal trends in reporting could not be evaluated in this review because of the short time interval selected. While the majority of PRISMA elements were addressed by most studies reviewed, the majority of studies did not address most of the additional safety-related elements. These findings highlight the need for the development and validation of a drug safety reporting framework and the importance of the current initiative by the Council for International Organizations of Medical Sciences (CIOMS) to create a guidance document for drug safety information synthesis/meta-analysis, which may improve reporting, conduct, and evaluation of meta-analyses of drug safety and inform clinical and regulatory decision making.

Integrative data analysis in clinical psychology research.

PubMed

Hussong, Andrea M; Curran, Patrick J; Bauer, Daniel J

2013-01-01

Integrative data analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining longitudinal studies to cover a broader swath of the lifespan), and the opportunity to build a more cumulative science (i.e., examining the similarity of effects across studies and potential reasons for dissimilarities). There are also methodological challenges associated with IDA, including the need to account for sampling heterogeneity across studies, to develop commensurate measures across studies, and to account for multiple sources of study differences as they impact hypothesis testing. In this review, we outline potential solutions to these challenges and describe future avenues for developing IDA as a framework for studies in clinical psychology.

Integrative Data Analysis in Clinical Psychology Research

PubMed Central

Hussong, Andrea M.; Curran, Patrick J.; Bauer, Daniel J.

2013-01-01

Integrative Data Analysis (IDA), a novel framework for conducting the simultaneous analysis of raw data pooled from multiple studies, offers many advantages including economy (i.e., reuse of extant data), power (i.e., large combined sample sizes), the potential to address new questions not answerable by a single contributing study (e.g., combining longitudinal studies to cover a broader swath of the lifespan), and the opportunity to build a more cumulative science (i.e., examining the similarity of effects across studies and potential reasons for dissimilarities). There are also methodological challenges associated with IDA, including the need to account for sampling heterogeneity across studies, to develop commensurate measures across studies, and to account for multiple sources of study differences as they impact hypothesis testing. In this review, we outline potential solutions to these challenges and describe future avenues for developing IDA as a framework for studies in clinical psychology. PMID:23394226

HEALPix: A Framework for High-Resolution Discretization and Fast Analysis of Data Distributed on the Sphere

NASA Technical Reports Server (NTRS)

Gorski, K. M.; Hivon, Eric; Banday, A. J.; Wandelt, Benjamin D.; Hansen, Frode K.; Reinecke, Mstvos; Bartelmann, Matthia

2005-01-01

HEALPix the Hierarchical Equal Area isoLatitude Pixelization is a versatile structure for the pixelization of data on the sphere. An associated library of computational algorithms and visualization software supports fast scientific applications executable directly on discretized spherical maps generated from very large volumes of astronomical data. Originally developed to address the data processing and analysis needs of the present generation of cosmic microwave background experiments (e.g., BOOMERANG, WMAP), HEALPix can be expanded to meet many of the profound challenges that will arise in confrontation with the observational output of future missions and experiments, including, e.g., Planck, Herschel, SAFIR, and the Beyond Einstein inflation probe. In this paper we consider the requirements and implementation constraints on a framework that simultaneously enables an efficient discretization with associated hierarchical indexation and fast analysis/synthesis of functions defined on the sphere. We demonstrate how these are explicitly satisfied by HEALPix.

Empirical factors and structure transference: Returning to the London account

NASA Astrophysics Data System (ADS)

Bueno, Otávio; French, Steven; Ladyman, James

2012-05-01

We offer a framework to represent the roles of empirical and theoretical factors in theory construction, and examine a case study to illustrate how the framework can be used to illuminate central features of scientific reasoning. The case study provides an extension of French and Ladyman's (1997) analysis of Fritz and Heinz London's model of superconductivity to accommodate the role of the analogy between superconductivity and diamagnetic phenomena in the development of the model between 1935 and 1937. We focus on this case since it allows us to separate the roles of empirical and theoretical factors, and so provides an example of the utility of the approach that we have adopted. We conclude the paper by drawing on the particular framework here developed to address a range of concerns.

A multi-level systems perspective for the science of team science.

PubMed

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J; Fiore, Stephen M; Hall, Kara L; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2010-09-15

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the "science of team science" (SciTS, pronounced "sahyts"). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field's evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis.

FRAMEWORK FOR ASSESSING RISKS OF ...

EPA Pesticide Factsheets

The Framework for Children's Health Risk Assessment report can serve as a resource on children's health risk assessment and it addresses the need to provide a comprehensive and consistent framework for considering children in risk assessments at EPA. This framework lays out the process, points to existing published sources for more detailed information on life stage-specific considerations, and includes web links to specific online publications and relevant Agency science policy papers, guidelines and guidance. The document emphasizes the need to take into account the potential exposures to environmental agents during preconception and all stages of development and focuses on the relevant adverse health outcomes that may occur as a result of such exposures. This framework is not an Agency guideline, but rather describes the overall structure and the components considered important for children's health risk assessment. The document describes an approach that includes problem formulation, analysis, and risk characterization, and also builds on Agency experience assessing risk to susceptible populations. The problem formulation step focuses on the life stage-specific nature of the analysis to include scoping and screening level questions for hazard characterization, dose response and exposure assessment. The risk characterization step recognizes the need to consider life stage-specific risks and explicitly describes the uncertainties and variability in the d

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

Yuan, Chris, E-mail: cyuan@uwm.edu; Wang, Endong; Zhai, Qiang

Temporal homogeneity of inventory data is one of the major problems in life cycle assessment (LCA). Addressing temporal homogeneity of life cycle inventory data is important in reducing the uncertainties and improving the reliability of LCA results. This paper attempts to present a critical review and discussion on the fundamental issues of temporal homogeneity in conventional LCA and propose a theoretical framework for temporal discounting in LCA. Theoretical perspectives for temporal discounting in life cycle inventory analysis are discussed first based on the key elements of a scientific mechanism for temporal discounting. Then generic procedures for performing temporal discounting inmore » LCA is derived and proposed based on the nature of the LCA method and the identified key elements of a scientific temporal discounting method. A five-step framework is proposed and reported in details based on the technical methods and procedures needed to perform a temporal discounting in life cycle inventory analysis. Challenges and possible solutions are also identified and discussed for the technical procedure and scientific accomplishment of each step within the framework. - Highlights: • A critical review for temporal homogeneity problem of life cycle inventory data • A theoretical framework for performing temporal discounting on inventory data • Methods provided to accomplish each step of the temporal discounting framework.« less

The nexus between climate change, ecosystem services and human health: Towards a conceptual framework.

PubMed

Chiabai, Aline; Quiroga, Sonia; Martinez-Juarez, Pablo; Higgins, Sahran; Taylor, Tim

2018-09-01

This paper addresses the impact that changes in natural ecosystems can have on health and wellbeing focusing on the potential co-benefits that green spaces could provide when introduced as climate change adaptation measures. Ignoring such benefits could lead to sub-optimal planning and decision-making. A conceptual framework, building on the ecosystem-enriched Driver, Pressure, State, Exposure, Effect, Action model (eDPSEEA), is presented to aid in clarifying the relational structure between green spaces and human health, taking climate change as the key driver. The study has the double intention of (i) summarising the literature with a special emphasis on the ecosystem and health perspectives, as well as the main theories behind these impacts, and (ii) modelling these findings into a framework that allows for multidisciplinary approaches to the underlying relations between human health and green spaces. The paper shows that while the literature based on the ecosystem perspective presents a well-documented association between climate, health and green spaces, the literature using a health-based perspective presents mixed evidence in some cases. The role of contextual factors and the exposure mechanism are rarely addressed. The proposed framework could serve as a multidisciplinary knowledge platform for multi-perspecitve analysis and discussion among experts and stakeholders, as well as to support the operationalization of quantitative assessment and modelling exercises. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Optimizing Wartime Materiel Delivery: An Overview of DoD containerization. Volume 2. Framework for Action to Address DoD Containerization Issues

DOT National Transportation Integrated Search

1988-10-01

This second volume of the study entitled, Optimizing Wartime Materiel Delivery: An Overview of DOD Containerization Efforts, -outlines a framework for action to address containerization issues identified in Volume I. The objectives of the study inclu...

The Kaleidoscope of Voices: An Action Research Approach to Informing Institutional e-Learning Policy

ERIC Educational Resources Information Center

Roushan, Gelareh; Holley, Debbie; Biggins, David

2016-01-01

This paper describes a two-spiral action research approach (AR) in its analysis of the experience of a British University endeavouring to change and reposition itself in the context of fast pace external change in terms of innovation. Taking the European Union (EU) 2020 digital competence framework (Ferrari 2013), with its drive to address the…

Value Chain, Stakeholders Analysis and Technology: A Holistic and Integrated Approach for Determining the Cumulative Added Value of Education

ERIC Educational Resources Information Center

Ben Khudair, Saud Abdullah; Abdalla, Abdalla Khidir

2016-01-01

The research problem addressed in this study focused on the students' assessment issue. Although the assessment of student learning should form part of the curriculum of school programs, many educational institutions do not make student assessment part of their teaching and learning routines. A holistic and integrated framework, which encompasses…

My Virtual Reading Coach: "An Analysis of Usage and Impact," 2013-14. Technical Note. Volume 3, Number 2

ERIC Educational Resources Information Center

Urdegar, Steven M.

2014-01-01

My Virtual Reading Coach (MVRC) is an online program for students who have been identified as struggling readers. It is used as an intervention within the Response to Intervention (RtI) framework, as well as for students with disabilities. The software addresses reading sub-skills (i.e., comprehension, fluency, phonemic awareness, phonics, and…

Speed-Accuracy Tradeoffs in Speech Production

DTIC Science & Technology

2017-06-01

imaging data of speech production. A theoretical framework for considering Fitts’ law in the domain of speech production is elucidated. Methodological ...articulatory kinematics conform to Fitts’ law. A second, associated goal is to address the methodological challenges inherent in performing Fitts-style...analysis on rtMRI data of speech production. Methodological challenges include segmenting continuous speech into specific motor tasks, defining key

Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS Raster Utility coding library

Treesearch

John S. Hogland; Nathaniel M. Anderson

2015-01-01

Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that...

Estimating FIA plot characteristics using NAIP imagery, function modeling, and the RMRS raster utility coding library

Treesearch

John S. Hogland; Nathaniel M. Anderson

2015-01-01

Raster modeling is an integral component of spatial analysis. However, conventional raster modeling techniques can require a substantial amount of processing time and storage space, often limiting the types of analyses that can be performed. To address this issue, we have developed Function Modeling. Function Modeling is a new modeling framework that streamlines the...

The Quality of Teacher Educators in the European Policy Debate: Actions and Measures to Improve the Professionalism of Teacher Educators

ERIC Educational Resources Information Center

Snoek, Marco; Swennen, Anja; van der Klink, Marcel

2011-01-01

This study examines how the contemporary European policy debate addresses the further development of the quality of teacher educators. A classification framework based on the literature on professionalism was used to compare European and Member State policy actions and measures on the quality of teacher educators through an analysis of seven…

Social network analysis in the study of nonhuman primates: A historical perspective

PubMed Central

Brent, Lauren J.N.; Lehmann, Julia; Ramos-Fernández, Gabriel

2011-01-01

Advances over the last fifteen years have made social network analysis (SNA) a powerful tool for the study of nonhuman primate social behavior. Although many SNA-based techniques have been only very recently adopted in primatological research, others have been commonly used by primatologists for decades. The roots of SNA also stem from some of the same conceptual frameworks as the majority of nonhuman primate behavioral research. The rapid development of SNA in recent years has led to questions within the primatological community of where and how SNA fits within this field. We aim to address these questions by providing an overview of the historical relationship between SNA and the study of nonhuman primates. We begin with a brief history of the development of SNA, followed by a detailed description of the network-based visualization techniques, analytical methods and conceptual frameworks which have been employed by primatologists since as early as the 1960s. We also introduce some of the latest advances to SNA, thereby demonstrating that this approach contains novel tools for study of nonhuman primate social behavior which may be used to shed light on questions that cannot be addressed fully using more conventional methods. PMID:21433047

Evaluating social outcomes of HIV/AIDS interventions: a critical assessment of contemporary indicator frameworks

PubMed Central

Mannell, Jenevieve; Cornish, Flora; Russell, Jill

2014-01-01

Introduction Contemporary HIV-related theory and policy emphasize the importance of addressing the social drivers of HIV risk and vulnerability for a long-term response. Consequently, increasing attention is being given to social and structural interventions, and to social outcomes of HIV interventions. Appropriate indicators for social outcomes are needed in order to institutionalize the commitment to addressing social outcomes. This paper critically assesses the current state of social indicators within international HIV/AIDS monitoring and evaluation frameworks. Methods We analyzed the indicator frameworks of six international organizations involved in efforts to improve and synchronize the monitoring and evaluation of the HIV/AIDS response. Our analysis classifies the 328 unique indicators according to what they measure and assesses the degree to which they offer comprehensive measurement across three dimensions: domains of the social context, levels of change and organizational capacity. Results and discussion The majority of indicators focus on individual-level (clinical and behavioural) interventions and outcomes, neglecting structural interventions, community interventions and social outcomes (e.g. stigma reduction; community capacity building; policy-maker sensitization). The main tool used to address social aspects of HIV/AIDS is the disaggregation of data by social group. This raises three main limitations. Indicator frameworks do not provide comprehensive coverage of the diverse social drivers of the epidemic, particularly neglecting criminalization, stigma, discrimination and gender norms. There is a dearth of indicators for evaluating the social impacts of HIV interventions. Indicators of organizational capacity focus on capacity to effectively deliver and manage clinical services, neglecting capacity to respond appropriately and sustainably to complex social contexts. Conclusions Current indicator frameworks cannot adequately assess the social outcomes of HIV interventions. This limits knowledge about social drivers and inhibits the institutionalization of social approaches within the HIV/AIDS response. We conclude that indicator frameworks should expand to offer a more comprehensive range of social indicators for monitoring and evaluation and to include indicators of organizational capacity to tackle social drivers. While such expansion poses challenges for standardization and coordination, we argue that the complexity of interventions producing social outcomes necessitates capacity for flexibility and local tailoring in monitoring and evaluation. PMID:25160645

Cloud Based Metalearning System for Predictive Modeling of Biomedical Data

PubMed Central

Vukićević, Milan

2014-01-01

Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data. PMID:24892101

Adopting the sensemaking perspective for chronic disease self-management.

PubMed

Mamykina, Lena; Smaldone, Arlene M; Bakken, Suzanne R

2015-08-01

Self-monitoring is an integral component of many chronic diseases; however few theoretical frameworks address how individuals understand self-monitoring data and use it to guide self-management. To articulate a theoretical framework of sensemaking in diabetes self-management that integrates existing scholarship with empirical data. The proposed framework is grounded in theories of sensemaking adopted from organizational behavior, education, and human-computer interaction. To empirically validate the framework the researchers reviewed and analyzed reports on qualitative studies of diabetes self-management practices published in peer-reviewed journals from 2000 to 2015. The proposed framework distinguishes between sensemaking and habitual modes of self-management and identifies three essential sensemaking activities: perception of new information related to health and wellness, development of inferences that inform selection of actions, and carrying out daily activities in response to new information. The analysis of qualitative findings from 50 published reports provided ample empirical evidence for the proposed framework; however, it also identified a number of barriers to engaging in sensemaking in diabetes self-management. The proposed framework suggests new directions for research in diabetes self-management and for design of new informatics interventions for data-driven self-management. Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.

Does social marketing provide a framework for changing healthcare practice?

PubMed

Morris, Zoë Slote; Clarkson, Peter John

2009-07-01

We argue that social marketing can be used as a generic framework for analysing barriers to the take-up of clinical guidelines, and planning interventions which seek to enable this change. We reviewed the literature on take-up of clinical guidelines, in particular barriers and enablers to change; social marketing principles and social marketing applied to healthcare. We then applied the social marketing framework to analyse the literature and to consider implications for future guideline policy to assess its feasibility and accessibility. There is sizeable extant literature on healthcare practitioners' non-compliance with clinical guidelines. This is an international problem common to a number of settings. The reasons for poor levels of take up appear to be well understood, but not addressed adequately in practice. Applying a social marketing framework brings new insights to the problem." We show that a social marketing framework provides a useful solution-focused framework for systematically understanding barriers to individual behaviour change and designing interventions accordingly. Whether the social marketing framework provides an effective means of bringing about behaviour change remains an empirical question which has still to be tested in practice. The analysis presented here provides strong motivation to begin such testing.

A Comprehensive Database and Analysis Framework To Incorporate Multiscale Data Types and Enable Integrated Analysis of Bioactive Polyphenols.

PubMed

Ho, Lap; Cheng, Haoxiang; Wang, Jun; Simon, James E; Wu, Qingli; Zhao, Danyue; Carry, Eileen; Ferruzzi, Mario G; Faith, Jeremiah; Valcarcel, Breanna; Hao, Ke; Pasinetti, Giulio M

2018-03-05

The development of a given botanical preparation for eventual clinical application requires extensive, detailed characterizations of the chemical composition, as well as the biological availability, biological activity, and safety profiles of the botanical. These issues are typically addressed using diverse experimental protocols and model systems. Based on this consideration, in this study we established a comprehensive database and analysis framework for the collection, collation, and integrative analysis of diverse, multiscale data sets. Using this framework, we conducted an integrative analysis of heterogeneous data from in vivo and in vitro investigation of a complex bioactive dietary polyphenol-rich preparation (BDPP) and built an integrated network linking data sets generated from this multitude of diverse experimental paradigms. We established a comprehensive database and analysis framework as well as a systematic and logical means to catalogue and collate the diverse array of information gathered, which is securely stored and added to in a standardized manner to enable fast query. We demonstrated the utility of the database in (1) a statistical ranking scheme to prioritize response to treatments and (2) in depth reconstruction of functionality studies. By examination of these data sets, the system allows analytical querying of heterogeneous data and the access of information related to interactions, mechanism of actions, functions, etc., which ultimately provide a global overview of complex biological responses. Collectively, we present an integrative analysis framework that leads to novel insights on the biological activities of a complex botanical such as BDPP that is based on data-driven characterizations of interactions between BDPP-derived phenolic metabolites and their mechanisms of action, as well as synergism and/or potential cancellation of biological functions. Out integrative analytical approach provides novel means for a systematic integrative analysis of heterogeneous data types in the development of complex botanicals such as polyphenols for eventual clinical and translational applications.

Information Framework of Pervasive Real Time Monitoring System: Case of Peat Land Forest Fires and Air Quality in South Sumatera, Indonesia

NASA Astrophysics Data System (ADS)

Nurmaini, Siti; Firsandaya Malik, Reza; Stiawan, Deris; Firdaus; Saparudin; Tutuko, Bambang

2017-04-01

The information framework aims to holistically address the problems and issues posed by unwanted peat and land fires within the context of the natural environment and socio-economic systems. Informed decisions on planning and allocation of resources can only be made by understanding the landscape. Therefore, information on fire history and air quality impacts must be collected for future analysis. This paper proposes strategic framework based on technology approach with data fusion strategy to produce the data analysis about peat land fires and air quality management in in South Sumatera. The research framework should use the knowledge, experience and data from the previous fire seasons to review, improve and refine the strategies and monitor their effectiveness for the next fire season. Communicating effectively with communities and the public and private sectors in remote and rural landscapes is important, by using smartphones and mobile applications. Tools such as one-stop information based on web applications, to obtain information such as early warning to send and receive fire alerts, could be developed and promoted so that all stakeholders can share important information with each other.

bigSCale: an analytical framework for big-scale single-cell data.

PubMed

Iacono, Giovanni; Mereu, Elisabetta; Guillaumet-Adkins, Amy; Corominas, Roser; Cuscó, Ivon; Rodríguez-Esteban, Gustavo; Gut, Marta; Pérez-Jurado, Luis Alberto; Gut, Ivo; Heyn, Holger

2018-06-01

Single-cell RNA sequencing (scRNA-seq) has significantly deepened our insights into complex tissues, with the latest techniques capable of processing tens of thousands of cells simultaneously. Analyzing increasing numbers of cells, however, generates extremely large data sets, extending processing time and challenging computing resources. Current scRNA-seq analysis tools are not designed to interrogate large data sets and often lack sensitivity to identify marker genes. With bigSCale, we provide a scalable analytical framework to analyze millions of cells, which addresses the challenges associated with large data sets. To handle the noise and sparsity of scRNA-seq data, bigSCale uses large sample sizes to estimate an accurate numerical model of noise. The framework further includes modules for differential expression analysis, cell clustering, and marker identification. A directed convolution strategy allows processing of extremely large data sets, while preserving transcript information from individual cells. We evaluated the performance of bigSCale using both a biological model of aberrant gene expression in patient-derived neuronal progenitor cells and simulated data sets, which underlines the speed and accuracy in differential expression analysis. To test its applicability for large data sets, we applied bigSCale to assess 1.3 million cells from the mouse developing forebrain. Its directed down-sampling strategy accumulates information from single cells into index cell transcriptomes, thereby defining cellular clusters with improved resolution. Accordingly, index cell clusters identified rare populations, such as reelin ( Reln )-positive Cajal-Retzius neurons, for which we report previously unrecognized heterogeneity associated with distinct differentiation stages, spatial organization, and cellular function. Together, bigSCale presents a solution to address future challenges of large single-cell data sets. © 2018 Iacono et al.; Published by Cold Spring Harbor Laboratory Press.

Defining cultural competence: a practical framework for addressing racial/ethnic disparities in health and health care.

PubMed Central

Betancourt, Joseph R.; Green, Alexander R.; Carrillo, J. Emilio; Ananeh-Firempong, Owusu

2003-01-01

OBJECTIVES: Racial/ethnic disparities in health in the U.S. have been well described. The field of "cultural competence" has emerged as one strategy to address these disparities. Based on a review of the relevant literature, the authors develop a definition of cultural competence, identify key components for intervention, and describe a practical framework for implementation of measures to address racial/ethnic disparities in health and health care. METHODS: The authors conducted a literature review of academic, foundation, and government publications focusing on sociocultural barriers to care, the level of the health care system at which a given barrier occurs, and cultural competence efforts that address these barriers. RESULTS: Sociocultural barriers to care were identified at the organizational (leadership/workforce), structural (processes of care), and clinical (provider-patient encounter) levels. A framework of cultural competence interventions--including minority recruitment into the health professions, development of interpreter services and language-appropriate health educational materials, and provider education on cross-cultural issues--emerged to categorize strategies to address racial/ethnic disparities in health and health care. CONCLUSIONS: Demographic changes anticipated over the next decade magnify the importance of addressing racial/ethnic disparities in health and health care. A framework of organizational, structural, and clinical cultural competence interventions can facilitate the elimination of these disparities and improve care for all Americans. PMID:12815076

Development Roadmap of an Evolvable and Extensible Multi-Mission Telecom Planning and Analysis Framework

NASA Technical Reports Server (NTRS)

Cheung, Kar-Ming; Tung, Ramona H.; Lee, Charles H.

2003-01-01

In this paper, we describe the development roadmap and discuss the various challenges of an evolvable and extensible multi-mission telecom planning and analysis framework. Our long-term goal is to develop a set of powerful flexible telecommunications analysis tools that can be easily adapted to different missions while maintain the common Deep Space Communication requirements. The ability of re-using the DSN ground models and the common software utilities in our adaptations has contributed significantly to our development efforts measured in terms of consistency, accuracy, and minimal effort redundancy, which can translate into shorter development time and major cost savings for the individual missions. In our roadmap, we will address the design principles, technical achievements and the associated challenges for following telecom analysis tools (i) Telecom Forecaster Predictor - TFP (ii) Unified Telecom Predictor - UTP (iii) Generalized Telecom Predictor - GTP (iv) Generic TFP (v) Web-based TFP (vi) Application Program Interface - API (vii) Mars Relay Network Planning Tool - MRNPT.

Quality Assurance Framework for Mini-Grids

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

Esterly, Sean; Baring-Gould, Ian; Booth, Samuel

To address the root challenges of providing quality power to remote consumers through financially viable mini-grids, the Global Lighting and Energy Access Partnership (Global LEAP) initiative of the Clean Energy Ministerial and the U.S. Department of Energy teamed with the National Renewable Energy Laboratory (NREL) and Power Africa to develop a Quality Assurance Framework (QAF) for isolated mini-grids. The framework addresses both alternating current (AC) and direct current (DC) mini-grids, and is applicable to renewable, fossil-fuel, and hybrid systems.

A framework for outcome-level evaluation of in-service training of health care workers.

PubMed

O'Malley, Gabrielle; Perdue, Thomas; Petracca, Frances

2013-10-01

In-service training is a key strategic approach to addressing the severe shortage of health care workers in many countries. However, there is a lack of evidence linking these health care worker trainings to improved health outcomes. In response, the United States President's Emergency Plan for AIDS Relief's Human Resources for Health Technical Working Group initiated a project to develop an outcome-focused training evaluation framework. This paper presents the methods and results of that project. A general inductive methodology was used for the conceptualization and development of the framework. Fifteen key informant interviews were conducted to explore contextual factors, perceived needs, barriers and facilitators affecting the evaluation of training outcomes. In addition, a thematic analysis of 70 published articles reporting health care worker training outcomes identified key themes and categories. These were integrated, synthesized and compared to several existing training evaluation models. This formed an overall typology which was used to draft a new framework. Finally, the framework was refined and validated through an iterative process of feedback, pilot testing and revision. The inductive process resulted in identification of themes and categories, as well as relationships among several levels and types of outcomes. The resulting framework includes nine distinct types of outcomes that can be evaluated, which are organized within three nested levels: individual, organizational and health system/population. The outcome types are: (1) individual knowledge, attitudes and skills; (2) individual performance; (3) individual patient health; (4) organizational systems; (5) organizational performance; (6) organizational-level patient health; (7) health systems; (8) population-level performance; and (9) population-level health. The framework also addresses contextual factors which may influence the outcomes of training, as well as the ability of evaluators to determine training outcomes. In addition, a group of user-friendly resources, the Training Evaluation Framework and Tools (TEFT) were created to help evaluators and stakeholders understand and apply the framework. Feedback from pilot users suggests that using the framework and accompanying tools may support outcome evaluation planning. Further assessment will assist in strengthening guidelines and tools for operationalization.

A framework for outcome-level evaluation of in-service training of health care workers

PubMed Central

2013-01-01

Background In-service training is a key strategic approach to addressing the severe shortage of health care workers in many countries. However, there is a lack of evidence linking these health care worker trainings to improved health outcomes. In response, the United States President’s Emergency Plan for AIDS Relief’s Human Resources for Health Technical Working Group initiated a project to develop an outcome-focused training evaluation framework. This paper presents the methods and results of that project. Methods A general inductive methodology was used for the conceptualization and development of the framework. Fifteen key informant interviews were conducted to explore contextual factors, perceived needs, barriers and facilitators affecting the evaluation of training outcomes. In addition, a thematic analysis of 70 published articles reporting health care worker training outcomes identified key themes and categories. These were integrated, synthesized and compared to several existing training evaluation models. This formed an overall typology which was used to draft a new framework. Finally, the framework was refined and validated through an iterative process of feedback, pilot testing and revision. Results The inductive process resulted in identification of themes and categories, as well as relationships among several levels and types of outcomes. The resulting framework includes nine distinct types of outcomes that can be evaluated, which are organized within three nested levels: individual, organizational and health system/population. The outcome types are: (1) individual knowledge, attitudes and skills; (2) individual performance; (3) individual patient health; (4) organizational systems; (5) organizational performance; (6) organizational-level patient health; (7) health systems; (8) population-level performance; and (9) population-level health. The framework also addresses contextual factors which may influence the outcomes of training, as well as the ability of evaluators to determine training outcomes. In addition, a group of user-friendly resources, the Training Evaluation Framework and Tools (TEFT) were created to help evaluators and stakeholders understand and apply the framework. Conclusions Feedback from pilot users suggests that using the framework and accompanying tools may support outcome evaluation planning. Further assessment will assist in strengthening guidelines and tools for operationalization. PMID:24083635

A Standardization Framework for Electronic Government Service Portals

NASA Astrophysics Data System (ADS)

Sarantis, Demetrios; Tsiakaliaris, Christos; Lampathaki, Fenareti; Charalabidis, Yannis

Although most eGovernment interoperability frameworks (eGIFs) cover adequately the technical aspects of developing and supporting the provision of electronic services to citizens and businesses, they do not exclusively address several important areas regarding the organization, presentation, accessibility and security of the content and the electronic services offered through government portals. This chapter extends the scope of existing eGIFs presenting the overall architecture and the basic concepts of the Greek standardization framework for electronic government service portals which, for the first time in Europe, is part of a country's eGovernment framework. The proposed standardization framework includes standards, guidelines and recommendations regarding the design, development and operation of government portals that support the provision of administrative information and services to citizens and businesses. By applying the guidelines of the framework, the design, development and operation of portals in central, regional and municipal government can be systematically addressed resulting in an applicable, sustainable and ever-expanding framework.

Addressing HIV/AIDS among Aboriginal People using a Health Status, Health Determinants and Health Care Framework: A Literature Review and Conceptual Analysis

PubMed Central

Nowgesic, Earl

2016-01-01

Objectives (1) To describe the Human Immunodeficiency Virus (HIV) infection among Aboriginal populations using a mixed methods approach (i.e. quantitative and qualitative methods); (2) to examine the individual-level and community-level relationships between HIV/AIDS, health determinants, and health care (e.g. diagnosis, access to treatment and health services planning); and (3) to explore innovative solutions to address HIV/AIDS among Aboriginal populations based upon research and infrastructure (e.g. partnerships, data sources and management, health indicators and culture) and policy (i.e. self-determination of Aboriginal Peoples). Methods Literature review and conceptual analysis using a health status, health determinants and health care framework. Results In comparison to non-Aboriginal persons, HIV infection is higher among Aboriginal persons, is more directly attributable to unique risk factors and socio-demographic characteristics, and yields more adverse health outcomes. Culture, poverty and self-determination are determinants of health for Aboriginal populations. Aboriginal people have inadequate primary care and, in particular, specialist care. It is necessary to include traditional Aboriginal approaches and culture when addressing Aboriginal health while understanding competing paradigms between modern medicine and Aboriginal traditions. Conclusion There is a need for self-determination of Aboriginal Peoples in order to improve the health of Aboriginal communities and those living with HIV/AIDS. Research and policy affecting Aboriginal people should be of the highest quality and based upon Aboriginal community relevance and involvement. PMID:27398110

A Systems-Based Conceptual Framework for Assessing the Determinants of a Social License to Operate in the Mining Industry

NASA Astrophysics Data System (ADS)

Prno, Jason; Slocombe, D. Scott

2014-03-01

The concept of a "social license to operate" (SLO) was coined in the 1990s and gained popularity as one way in which "social" considerations can be addressed in mineral development decision making. The need for a SLO implies that developers require the widespread approval of local community members for their projects to avoid exposure to potentially costly conflict and business risks. Only a limited amount of scholarship exists on the topic, and there is a need for research that specifically addresses the complex and changeable nature of SLO outcomes. In response to these challenges, this paper advances a novel, systems-based conceptual framework for assessing SLO determinants and outcomes in the mining industry. Two strands of systems theory are specifically highlighted—complex adaptive systems and resilience—and the roles of context, key system variables, emergence, change, uncertainty, feedbacks, cross-scale effects, multiple stable states, thresholds, and resilience are discussed. The framework was developed from the results of a multi-year research project which involved international mining case study investigations, a comprehensive literature review, and interviews conducted with mining stakeholders and observers. The framework can help guide SLO analysis and management efforts, by encouraging users to account for important contextual and complexity-oriented elements present in SLO settings. We apply the framework to a case study in Alaska, USA before discussing its merits and challenges. We also illustrate knowledge gaps associated with applications of complex adaptive systems and resilience theories to the study of SLO dynamics, and discuss opportunities for future research.

A systems-based conceptual framework for assessing the determinants of a social license to operate in the mining industry.

PubMed

Prno, Jason; Slocombe, D Scott

2014-03-01

The concept of a "social license to operate" (SLO) was coined in the 1990s and gained popularity as one way in which "social" considerations can be addressed in mineral development decision making. The need for a SLO implies that developers require the widespread approval of local community members for their projects to avoid exposure to potentially costly conflict and business risks. Only a limited amount of scholarship exists on the topic, and there is a need for research that specifically addresses the complex and changeable nature of SLO outcomes. In response to these challenges, this paper advances a novel, systems-based conceptual framework for assessing SLO determinants and outcomes in the mining industry. Two strands of systems theory are specifically highlighted-complex adaptive systems and resilience-and the roles of context, key system variables, emergence, change, uncertainty, feedbacks, cross-scale effects, multiple stable states, thresholds, and resilience are discussed. The framework was developed from the results of a multi-year research project which involved international mining case study investigations, a comprehensive literature review, and interviews conducted with mining stakeholders and observers. The framework can help guide SLO analysis and management efforts, by encouraging users to account for important contextual and complexity-oriented elements present in SLO settings. We apply the framework to a case study in Alaska, USA before discussing its merits and challenges. We also illustrate knowledge gaps associated with applications of complex adaptive systems and resilience theories to the study of SLO dynamics, and discuss opportunities for future research.

A Systematic Review Exploring the Social Cognitive Theory of Self-Regulation as a Framework for Chronic Health Condition Interventions

PubMed Central

Tougas, Michelle E.; Hayden, Jill A.; McGrath, Patrick J.; Huguet, Anna; Rozario, Sharlene

2015-01-01

Background Theory is often recommended as a framework for guiding hypothesized mechanisms of treatment effect. However, there is limited guidance about how to use theory in intervention development. Methods We conducted a systematic review to provide an exemplar review evaluating the extent to which use of theory is identified and incorporated within existing interventions. We searched electronic databases PubMed, PsycINFO, CENTRAL, and EMBASE from inception to May 2014. We searched clinicaltrials.gov for registered protocols, reference lists of relevant systematic reviews and included studies, and conducted a citation search in Web of Science. We included peer-reviewed publications of interventions that referenced the social cognitive theory of self-regulation as a framework for interventions to manage chronic health conditions. Two reviewers independently assessed articles for eligibility. We contacted all authors of included studies for information detailing intervention content. We describe how often theory mechanisms were addressed by interventions, and report intervention characteristics used to address theory. Results Of 202 articles that reported using the social cognitive theory of self-regulation, 52% failed to incorporate self-monitoring, a main theory component, and were therefore excluded. We included 35 interventions that adequately used the theory framework. Intervention characteristics were often poorly reported in peer-reviewed publications, 21 of 35 interventions incorporated characteristics that addressed each of the main theory components. Each intervention addressed, on average, six of eight self-monitoring mechanisms, two of five self-judgement mechanisms, and one of three self-evaluation mechanisms. The self-monitoring mechanisms ‘Feedback’ and ‘Consistency’ were addressed by all interventions, whereas the self-evaluation mechanisms ‘Self-incentives’ and ‘External rewards’ were addressed by six and four interventions, respectively. The present review establishes that systematic review is a feasible method of identifying use of theory as a conceptual framework for existing interventions. We identified the social cognitive theory of self-regulation as a feasible framework to guide intervention development for chronic health conditions. PMID:26252889

A structured analysis of uncertainty surrounding modeled impacts of groundwater-extraction rules

NASA Astrophysics Data System (ADS)

Guillaume, Joseph H. A.; Qureshi, M. Ejaz; Jakeman, Anthony J.

2012-08-01

Integrating economic and groundwater models for groundwater-management can help improve understanding of trade-offs involved between conflicting socioeconomic and biophysical objectives. However, there is significant uncertainty in most strategic decision-making situations, including in the models constructed to represent them. If not addressed, this uncertainty may be used to challenge the legitimacy of the models and decisions made using them. In this context, a preliminary uncertainty analysis was conducted of a dynamic coupled economic-groundwater model aimed at assessing groundwater extraction rules. The analysis demonstrates how a variety of uncertainties in such a model can be addressed. A number of methods are used including propagation of scenarios and bounds on parameters, multiple models, block bootstrap time-series sampling and robust linear regression for model calibration. These methods are described within the context of a theoretical uncertainty management framework, using a set of fundamental uncertainty management tasks and an uncertainty typology.

Oral health disparities and the workforce: a framework to guide innovation.

PubMed

Hilton, Irene V; Lester, Arlene M

2010-06-01

Oral health disparities currently exist in the United States, and workforce innovations have been proposed as one strategy to address these disparities. A framework is needed to logically assess the possible role of workforce as a contributor to and to analyze workforce strategies addressing the issue of oral health disparities. Using an existing framework, A Strategic Framework for Improving Racial/Ethnic Minority Health and Eliminating Racial/Ethnic Health Disparities, workforce was sequentially applied across individual, environmental/community, and system levels to identify long-term problems, contributing factors, strategies/innovation, measurable outcomes/impacts, and long-term goals. Examples of current workforce innovations were applied to the framework. Contributing factors to oral health disparities included lack of racial/ethnic diversity of the workforce, lack of appropriate training, provider distribution, and a nonuser-centered system. The framework was applied to selected workforce innovation models delineating the potential impact on contributing factors across the individual, environmental/community, and system levels. The framework helps to define expected outcomes from workforce models that would contribute to the goal of reducing oral health disparities and examine impacts across multiple levels. However, the contributing factors to oral health disparities cannot be addressed by workforce innovation alone. The Strategic Framework is a logical approach to guide workforce innovation, solutions, and identification of other aspects of the oral healthcare delivery system that need innovation in order to reduce oral health disparities.

Research Activities in Support of High-Resolution Land Cover Mapping in the North Central United States

Treesearch

Dacia M. Meneguzzo; Greg C. Liknes

2015-01-01

The USDA Agroforestry Strategic Framework and the 2014 Farm Bill call for inventory and monitoring of agroforestry practices; however, collecting such data over very large non-forested areas is costly. The Forest Inventory and Analysis (FIA) program at the Northern Research Station has addressed this challenge by forming a targeted task team whose primary purpose is to...

The Complicated Conversation of Class and Race in Social and Curricular Analysis: An Examination of Pierre Bourdieu's Interpretative Framework in Relation to Race

ERIC Educational Resources Information Center

McKnight, Douglas; Chandler, Prentice

2012-01-01

As a means to challenge and diminish the hold of mainstream curriculum's claim of being a colorblind, politically neutral text, we will address two particular features that partially, though significantly, constitute the hidden curriculum in the United States--race and class--historically studied as separate social issues. Race and class have been…

Death of a Simulated Pediatric Patient: Toward a More Robust Theoretical Framework.

PubMed

McBride, Mary E; Schinasi, Dana Aronson; Moga, Michael Alice; Tripathy, Shreepada; Calhoun, Aaron

2017-12-01

A theoretical framework was recently proposed that encapsulates learner responses to simulated death due to action or inaction in the pediatric context. This framework, however, was developed at an institution that allows simulated death and thus does not address the experience of those centers at which this technique is not used. To address this, we performed a parallel qualitative study with the intent of augmenting the initial framework. We conducted focus groups, using a constructivist grounded theory approach, using physicians and nurses who have experienced a simulated cardiac arrest. The participants were recruited via e-mail. Transcripts were analyzed by coders blinded to the original framework to generate a list of provisional themes that were iteratively refined. These themes were then compared with the themes from the original article and used to derive a consensus model that incorporated the most relevant features of each. Focus group data yielded 7 themes. Six were similar to those developed in the original framework. One important exception was noted; however, those learners not exposed to patient death due to action or inaction often felt that the mannequin's survival was artificial. This additional theme was incorporated into a revised framework. The original framework addresses most aspects of learner reactions to simulated death. Our work suggests that adding the theme pertaining to the lack of realism that can be perceived when the mannequin is unexpectedly saved results in a more robust theoretical framework transferable to centers that do not allow mannequin death.

Policy analysis and advocacy in nursing education: the Nursing Education Council of British Columbia framework.

PubMed

Duncan, Susan M; Thorne, Sally; Van Neste-Kenny, Jocelyne; Tate, Betty

2012-05-01

Academic nursing leaders play a crucial role in the policy context for nursing education. Effectiveness in this role requires that they work together in presenting nursing education issues from a position of strength, informed by a critical analysis of policy pertaining to the delivery of quality nursing education and scholarship. We describe a collective process of dialog and critical analysis whereby nurse leaders in one Canadian province addressed pressing policy issues facing governments, nursing programs, faculty, and students. Consensus among academic nurse leaders, formalized through the development of a policy action framework, has enabled us to take a stand, at times highly contested, in the politicized arena of the nursing shortage. We present the components of a policy action framework for nursing education and share examples of how we have used a critical approach to analyze and frame policy issues in nursing education for inclusion on policy agendas. We believe our work has influenced provincial and national thinking about policy in nursing education is the foundation of our conclusion that political presence and shared strategy among academic nursing leaders is undeniably critical in the global context of nursing today. Crown Copyright © 2011. Published by Elsevier Ltd. All rights reserved.

A blueprint for strategic urban research: the urban piazza

PubMed Central

Kourtit, Karima; Nijkamp, Peter; Franklin, Rachel S.; Rodríguez-Pose, Andrés

2014-01-01

Urban research in many countries has failed to keep up with the pace of rapidly and constantly evolving urban change. The growth of cities, the increasing complexity of their functions and the complex intra- and inter-urban linkages in this ‘urban century’ demand new approaches to urban analysis, which, from a systemic perspective, supersede the existing fragmentation in urban studies. In this paper we propose the concept of the urban piazza as a framework in order to address some of the inefficiencies associated with current urban analysis. By combining wealth-creating potential with smart urban mobility, ecological resilience and social buzz in this integrated and systemic framework, the aim is to set the basis for a ‘New Urban World’ research blueprint, which lays the foundation for a broader and more integrated research programme for strategic urban issues. PMID:25339782

A blueprint for strategic urban research: the urban piazza.

PubMed

Kourtit, Karima; Nijkamp, Peter; Franklin, Rachel S; Rodríguez-Pose, Andrés

2014-01-01

Urban research in many countries has failed to keep up with the pace of rapidly and constantly evolving urban change. The growth of cities, the increasing complexity of their functions and the complex intra- and inter-urban linkages in this 'urban century' demand new approaches to urban analysis, which, from a systemic perspective, supersede the existing fragmentation in urban studies. In this paper we propose the concept of the urban piazza as a framework in order to address some of the inefficiencies associated with current urban analysis. By combining wealth-creating potential with smart urban mobility, ecological resilience and social buzz in this integrated and systemic framework, the aim is to set the basis for a ' New Urban World ' research blueprint, which lays the foundation for a broader and more integrated research programme for strategic urban issues.

Developing Coherent, Concise and Comprehensive User Requirements Using the MoD Architectural Framework (MODAF)

DTIC Science & Technology

2005-06-01

PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES...PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S) 11. SPONSOR/MONITOR’S REPORT...Prescribed by ANSI Std Z39-18 2 D CBM(A)/07/10/06 14 March 2005 DEVELOPING USER REQUIREMENTS USING THE MOD ARCHITECHTURAL FRAMEWORK (MODAF

ESTimating plant phylogeny: lessons from partitioning

PubMed Central

de la Torre, Jose EB; Egan, Mary G; Katari, Manpreet S; Brenner, Eric D; Stevenson, Dennis W; Coruzzi, Gloria M; DeSalle, Rob

2006-01-01

Background While Expressed Sequence Tags (ESTs) have proven a viable and efficient way to sample genomes, particularly those for which whole-genome sequencing is impractical, phylogenetic analysis using ESTs remains difficult. Sequencing errors and orthology determination are the major problems when using ESTs as a source of characters for systematics. Here we develop methods to incorporate EST sequence information in a simultaneous analysis framework to address controversial phylogenetic questions regarding the relationships among the major groups of seed plants. We use an automated, phylogenetically derived approach to orthology determination called OrthologID generate a phylogeny based on 43 process partitions, many of which are derived from ESTs, and examine several measures of support to assess the utility of EST data for phylogenies. Results A maximum parsimony (MP) analysis resulted in a single tree with relatively high support at all nodes in the tree despite rampant conflict among trees generated from the separate analysis of individual partitions. In a comparison of broader-scale groupings based on cellular compartment (ie: chloroplast, mitochondrial or nuclear) or function, only the nuclear partition tree (based largely on EST data) was found to be topologically identical to the tree based on the simultaneous analysis of all data. Despite topological conflict among the broader-scale groupings examined, only the tree based on morphological data showed statistically significant differences. Conclusion Based on the amount of character support contributed by EST data which make up a majority of the nuclear data set, and the lack of conflict of the nuclear data set with the simultaneous analysis tree, we conclude that the inclusion of EST data does provide a viable and efficient approach to address phylogenetic questions within a parsimony framework on a genomic scale, if problems of orthology determination and potential sequencing errors can be overcome. In addition, approaches that examine conflict and support in a simultaneous analysis framework allow for a more precise understanding of the evolutionary history of individual process partitions and may be a novel way to understand functional aspects of different kinds of cellular classes of gene products. PMID:16776834

Evaluating integrated watershed management using multiple criteria analysis--a case study at Chittagong Hill Tracts in Bangladesh.

PubMed

Biswas, Shampa; Vacik, Harald; Swanson, Mark E; Haque, S M Sirajul

2012-05-01

Criteria and indicators assessment is one of the ways to evaluate management strategies for mountain watersheds. One framework for this, Integrated Watershed Management (IWM), was employed at Chittagong Hill Tracts region of Bangladesh using a multi-criteria analysis approach. The IWM framework, consisting of the design and application of principles, criteria, indicators, and verifiers (PCIV), facilitates active participation by diverse professionals, experts, and interest groups in watershed management, to explicitly address the demands and problems to measure the complexity of problems in a transparent and understandable way. Management alternatives are developed to fulfill every key component of IWM considering the developed PCIV set and current situation of the study area. Different management strategies, each focusing on a different approach (biodiversity conservation, flood control, soil and water quality conservation, indigenous knowledge conservation, income generation, watershed conservation, and landscape conservation) were assessed qualitatively on their potential to improve the current situation according to each verifier of the criteria and indicator set. Analytic Hierarchy Process (AHP), including sensitivity analysis, was employed to identify an appropriate management strategy according to overall priorities (i.e., different weights of each principle) of key informants. The AHP process indicated that a strategy focused on conservation of biodiversity provided the best option to address watershed-related challenges in the Chittagong Hill Tracts, Bangladesh.

Limiting the consumption of sugar sweetened beverages in Mexico's obesogenic environment: a qualitative policy review and stakeholder analysis.

PubMed

Moise, Nathalie; Cifuentes, Enrique; Orozco, Emanuel; Willett, Walter

2011-11-01

Mexico is building a legal framework to address its childhood obesity epidemic. Sugar sweetened beverages (SSB) in the school environment represent a major policy challenge. We addressed the following questions: What barriers inhibit political attention to SSB and childhood obesity? What political instruments, international and national, exist to guide agenda setting in Mexico? What opportunities exist for policy adoption? We conducted a systematic review of international and national legal instruments concerned with SSB consumption. We traced process, conducting interviews with key informants. Thematic analysis helped us identify barriers and opportunities for public health interventions. We found 11 national policy instruments, but detected implementation gaps and weak fiscal policies on SSB consumption in schools: limited drinking water infrastructure, SSB industry interests, and regulatory ambiguities addressing reduction of sugar in beverages. Public policy should target marketing practices and taxation. The school environment remains a promising target for policy. Access to safe drinking water must complement comprehensive and multi-sector policy approaches to reduce access to SSB.

Adaptive Framework for Classification and Novel Class Detection over Evolving Data Streams with Limited Labeled Data.

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

Haque, Ahsanul; Khan, Latifur; Baron, Michael

2015-09-01

Most approaches to classifying evolving data streams either divide the stream of data into fixed-size chunks or use gradual forgetting to address the problems of infinite length and concept drift. Finding the fixed size of the chunks or choosing a forgetting rate without prior knowledge about time-scale of change is not a trivial task. As a result, these approaches suffer from a trade-off between performance and sensitivity. To address this problem, we present a framework which uses change detection techniques on the classifier performance to determine chunk boundaries dynamically. Though this framework exhibits good performance, it is heavily dependent onmore » the availability of true labels of data instances. However, labeled data instances are scarce in realistic settings and not readily available. Therefore, we present a second framework which is unsupervised in nature, and exploits change detection on classifier confidence values to determine chunk boundaries dynamically. In this way, it avoids the use of labeled data while still addressing the problems of infinite length and concept drift. Moreover, both of our proposed frameworks address the concept evolution problem by detecting outliers having similar values for the attributes. We provide theoretical proof that our change detection method works better than other state-of-the-art approaches in this particular scenario. Results from experiments on various benchmark and synthetic data sets also show the efficiency of our proposed frameworks.« less

A Logical Framework for Distributed Data

DTIC Science & Technology

1990-11-01

A Logical Framework for Distributed Data lLl6ll1󈧆AH43 44592 -001-05-3301 A~UTHO(S RDT&E 44043-010-37 Paul Broome and Barbara Broome 1L162618AH80... 44592 -002-46-3702 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 3.PERFORMG ORGANIZATION REPORT NUMBER U. S. Army Ballistic Research Laboratory ATTN

A Multi-Level Systems Perspective for the Science of Team Science

PubMed Central

Börner, Katy; Contractor, Noshir; Falk-Krzesinski, Holly J.; Fiore, Stephen M.; Hall, Kara L.; Keyton, Joann; Spring, Bonnie; Stokols, Daniel; Trochim, William; Uzzi, Brian

2012-01-01

This Commentary describes recent research progress and professional developments in the study of scientific teamwork, an area of inquiry termed the “science of team science” (SciTS, pronounced “sahyts”). It proposes a systems perspective that incorporates a mixed-methods approach to SciTS that is commensurate with the conceptual, methodological, and translational complexities addressed within the SciTS field. The theoretically grounded and practically useful framework is intended to integrate existing and future lines of SciTS research to facilitate the field’s evolution as it addresses key challenges spanning macro, meso, and micro levels of analysis. PMID:20844283

An Integrated Modeling Framework Forecasting Ecosystem Exposure-- A Systems Approach to the Cumulative Impacts of Multiple Stressors

NASA Astrophysics Data System (ADS)

Johnston, J. M.

2013-12-01

Freshwater habitats provide fishable, swimmable and drinkable resources and are a nexus of geophysical and biological processes. These processes in turn influence the persistence and sustainability of populations, communities and ecosystems. Climate change and landuse change encompass numerous stressors of potential exposure, including the introduction of toxic contaminants, invasive species, and disease in addition to physical drivers such as temperature and hydrologic regime. A systems approach that includes the scientific and technologic basis of assessing the health of ecosystems is needed to effectively protect human health and the environment. The Integrated Environmental Modeling Framework 'iemWatersheds' has been developed as a consistent and coherent means of forecasting the cumulative impact of co-occurring stressors. The Framework consists of three facilitating technologies: Data for Environmental Modeling (D4EM) that automates the collection and standardization of input data; the Framework for Risk Assessment of Multimedia Environmental Systems (FRAMES) that manages the flow of information between linked models; and the Supercomputer for Model Uncertainty and Sensitivity Evaluation (SuperMUSE) that provides post-processing and analysis of model outputs, including uncertainty and sensitivity analysis. Five models are linked within the Framework to provide multimedia simulation capabilities for hydrology and water quality processes: the Soil Water Assessment Tool (SWAT) predicts surface water and sediment runoff and associated contaminants; the Watershed Mercury Model (WMM) predicts mercury runoff and loading to streams; the Water quality Analysis and Simulation Program (WASP) predicts water quality within the stream channel; the Habitat Suitability Index (HSI) model scores physicochemical habitat quality for individual fish species; and the Bioaccumulation and Aquatic System Simulator (BASS) predicts fish growth, population dynamics and bioaccumulation of toxic substances. The capability of the Framework to address cumulative impacts will be demonstrated for freshwater ecosystem services and mountaintop mining.

Risk assessment of vector-borne diseases for public health governance.

PubMed

Sedda, L; Morley, D W; Braks, M A H; De Simone, L; Benz, D; Rogers, D J

2014-12-01

In the context of public health, risk governance (or risk analysis) is a framework for the assessment and subsequent management and/or control of the danger posed by an identified disease threat. Generic frameworks in which to carry out risk assessment have been developed by various agencies. These include monitoring, data collection, statistical analysis and dissemination. Due to the inherent complexity of disease systems, however, the generic approach must be modified for individual, disease-specific risk assessment frameworks. The analysis was based on the review of the current risk assessments of vector-borne diseases adopted by the main Public Health organisations (OIE, WHO, ECDC, FAO, CDC etc…). Literature, legislation and statistical assessment of the risk analysis frameworks. This review outlines the need for the development of a general public health risk assessment method for vector-borne diseases, in order to guarantee that sufficient information is gathered to apply robust models of risk assessment. Stochastic (especially spatial) methods, often in Bayesian frameworks are now gaining prominence in standard risk assessment procedures because of their ability to assess accurately model uncertainties. Risk assessment needs to be addressed quantitatively wherever possible, and submitted with its quality assessment in order to enable successful public health measures to be adopted. In terms of current practice, often a series of different models and analyses are applied to the same problem, with results and outcomes that are difficult to compare because of the unknown model and data uncertainties. Therefore, the risk assessment areas in need of further research are identified in this article. Copyright © 2014 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Requirements for plug and play information infrastructure frameworks and architectures to enable virtual enterprises

NASA Astrophysics Data System (ADS)

Bolton, Richard W.; Dewey, Allen; Horstmann, Paul W.; Laurentiev, John

1997-01-01

This paper examines the role virtual enterprises will have in supporting future business engagements and resulting technology requirements. Two representative end-user scenarios are proposed that define the requirements for 'plug-and-play' information infrastructure frameworks and architectures necessary to enable 'virtual enterprises' in US manufacturing industries. The scenarios provide a high- level 'needs analysis' for identifying key technologies, defining a reference architecture, and developing compliant reference implementations. Virtual enterprises are short- term consortia or alliances of companies formed to address fast-changing opportunities. Members of a virtual enterprise carry out their tasks as if they all worked for a single organization under 'one roof', using 'plug-and-play' information infrastructure frameworks and architectures to access and manage all information needed to support the product cycle. 'Plug-and-play' information infrastructure frameworks and architectures are required to enhance collaboration between companies corking together on different aspects of a manufacturing process. This new form of collaborative computing will decrease cycle-time and increase responsiveness to change.

Impact of Spatial Scales on the Intercomparison of Climate Scenarios

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

Luo, Wei; Steptoe, Michael; Chang, Zheng

2017-01-01

Scenario analysis has been widely applied in climate science to understand the impact of climate change on the future human environment, but intercomparison and similarity analysis of different climate scenarios based on multiple simulation runs remain challenging. Although spatial heterogeneity plays a key role in modeling climate and human systems, little research has been performed to understand the impact of spatial variations and scales on similarity analysis of climate scenarios. To address this issue, the authors developed a geovisual analytics framework that lets users perform similarity analysis of climate scenarios from the Global Change Assessment Model (GCAM) using a hierarchicalmore » clustering approach.« less

A Model-Driven Co-Design Framework for Fusing Control and Scheduling Viewpoints.

PubMed

Sundharam, Sakthivel Manikandan; Navet, Nicolas; Altmeyer, Sebastian; Havet, Lionel

2018-02-20

Model-Driven Engineering (MDE) is widely applied in the industry to develop new software functions and integrate them into the existing run-time environment of a Cyber-Physical System (CPS). The design of a software component involves designers from various viewpoints such as control theory, software engineering, safety, etc. In practice, while a designer from one discipline focuses on the core aspects of his field (for instance, a control engineer concentrates on designing a stable controller), he neglects or considers less importantly the other engineering aspects (for instance, real-time software engineering or energy efficiency). This may cause some of the functional and non-functional requirements not to be met satisfactorily. In this work, we present a co-design framework based on timing tolerance contract to address such design gaps between control and real-time software engineering. The framework consists of three steps: controller design, verified by jitter margin analysis along with co-simulation, software design verified by a novel schedulability analysis, and the run-time verification by monitoring the execution of the models on target. This framework builds on CPAL (Cyber-Physical Action Language), an MDE design environment based on model-interpretation, which enforces a timing-realistic behavior in simulation through timing and scheduling annotations. The application of our framework is exemplified in the design of an automotive cruise control system.

A Model-Driven Co-Design Framework for Fusing Control and Scheduling Viewpoints

PubMed Central

Navet, Nicolas; Havet, Lionel

2018-01-01

Model-Driven Engineering (MDE) is widely applied in the industry to develop new software functions and integrate them into the existing run-time environment of a Cyber-Physical System (CPS). The design of a software component involves designers from various viewpoints such as control theory, software engineering, safety, etc. In practice, while a designer from one discipline focuses on the core aspects of his field (for instance, a control engineer concentrates on designing a stable controller), he neglects or considers less importantly the other engineering aspects (for instance, real-time software engineering or energy efficiency). This may cause some of the functional and non-functional requirements not to be met satisfactorily. In this work, we present a co-design framework based on timing tolerance contract to address such design gaps between control and real-time software engineering. The framework consists of three steps: controller design, verified by jitter margin analysis along with co-simulation, software design verified by a novel schedulability analysis, and the run-time verification by monitoring the execution of the models on target. This framework builds on CPAL (Cyber-Physical Action Language), an MDE design environment based on model-interpretation, which enforces a timing-realistic behavior in simulation through timing and scheduling annotations. The application of our framework is exemplified in the design of an automotive cruise control system. PMID:29461489

A Columnar Storage Strategy with Spatiotemporal Index for Big Climate Data

NASA Astrophysics Data System (ADS)

Hu, F.; Bowen, M. K.; Li, Z.; Schnase, J. L.; Duffy, D.; Lee, T. J.; Yang, C. P.

2015-12-01

Large collections of observational, reanalysis, and climate model output data may grow to as large as a 100 PB in the coming years, so climate dataset is in the Big Data domain, and various distributed computing frameworks have been utilized to address the challenges by big climate data analysis. However, due to the binary data format (NetCDF, HDF) with high spatial and temporal dimensions, the computing frameworks in Apache Hadoop ecosystem are not originally suited for big climate data. In order to make the computing frameworks in Hadoop ecosystem directly support big climate data, we propose a columnar storage format with spatiotemporal index to store climate data, which will support any project in the Apache Hadoop ecosystem (e.g. MapReduce, Spark, Hive, Impala). With this approach, the climate data will be transferred into binary Parquet data format, a columnar storage format, and spatial and temporal index will be built and attached into the end of Parquet files to enable real-time data query. Then such climate data in Parquet data format could be available to any computing frameworks in Hadoop ecosystem. The proposed approach is evaluated using the NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA) climate reanalysis dataset. Experimental results show that this approach could efficiently overcome the gap between the big climate data and the distributed computing frameworks, and the spatiotemporal index could significantly accelerate data querying and processing.

Comparing the application of two theoretical frameworks to describe determinants of adverse medical device event reporting: secondary analysis of qualitative interview data.

PubMed

Desveaux, Laura; Gagliardi, Anna R

2018-06-04

Post-market surveillance of medical devices is reliant on physician reporting of adverse medical device events (AMDEs). Few studies have examined factors that influence whether and how physicians report AMDEs, an essential step in the development of behaviour change interventions. This study was a secondary analysis comparing application of the Theoretical Domains Framework (TDF) and the Tailored Implementation for Chronic Diseases (TICD) framework to identify potential behaviour change interventions that correspond to determinants of AMDE reporting. A previous study involving qualitative interviews with Canadian physicians that implant medical devices identified themes reflecting AMDE reporting determinants. In this secondary analysis, themes that emerged from the primary analysis were independently mapped to the TDF and TICD. Determinants and corresponding intervention options arising from both frameworks (and both mappers) were compared. Both theoretical frameworks were useful for identifying interventions corresponding to behavioural determinants of AMDE reporting. Information or education strategies that provide evidence about AMDEs, and audit and feedback of AMDE data were identified as interventions to target the theme of physician beliefs; improving information systems, and reminder cues, prompts and awards were identified as interventions to address determinants arising from the organization or systems themes; and modifying financial/non-financial incentives and sharing data on outcomes associated with AMDEs were identified as interventions to target device market themes. Numerous operational challenges were encountered in the application of both frameworks including a lack of clarity about how directly relevant to themes the domains/determinants should be, how many domains/determinants to select, if and how to resolve discrepancies across multiple mappers, and how to choose interventions from among the large number associated with selected domains/determinants. Given discrepancies in mapping themes to determinants/domains and the resulting interventions offered by the two frameworks, uncertainty remains about how to choose interventions that best match behavioural determinants in a given context. Further research is needed to provide more nuanced guidance on the application of TDF and TICD for a broader audience, which is likely to increase the utility and uptake of these frameworks in practice.

Fuel Cycle Analysis Framework Base Cases for the IAEA/INPRO GAINS Collaborative Project

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

Brent Dixon

Thirteen countries participated in the Collaborative Project GAINS “Global Architecture of Innovative Nuclear Energy Systems Based on Thermal and Fast Reactors Including a Closed Fuel Cycle”, which was the primary activity within the IAEA/INPRO Program Area B: “Global Vision on Sustainable Nuclear Energy” for the last three years. The overall objective of GAINS was to develop a standard framework for assessing future nuclear energy systems taking into account sustainable development, and to validate results through sample analyses. This paper details the eight scenarios that constitute the GAINS framework base cases for analysis of the transition to future innovative nuclear energymore » systems. The framework base cases provide a reference for users of the framework to start from in developing and assessing their own alternate systems. Each base case is described along with performance results against the GAINS sustainability evaluation metrics. The eight cases include four using a moderate growth projection and four using a high growth projection for global nuclear electricity generation through 2100. The cases are divided into two sets, addressing homogeneous and heterogeneous scenarios developed by GAINS to model global fuel cycle strategies. The heterogeneous world scenario considers three separate nuclear groups based on their fuel cycle strategies, with non-synergistic and synergistic cases. The framework base case analyses results show the impact of these different fuel cycle strategies while providing references for future users of the GAINS framework. A large number of scenario alterations are possible and can be used to assess different strategies, different technologies, and different assumptions about possible futures of nuclear power. Results can be compared to the framework base cases to assess where these alternate cases perform differently versus the sustainability indicators.« less

Non-lambertian reflectance modeling and shape recovery of faces using tensor splines.

PubMed

Kumar, Ritwik; Barmpoutis, Angelos; Banerjee, Arunava; Vemuri, Baba C

2011-03-01

Modeling illumination effects and pose variations of a face is of fundamental importance in the field of facial image analysis. Most of the conventional techniques that simultaneously address both of these problems work with the Lambertian assumption and thus fall short of accurately capturing the complex intensity variation that the facial images exhibit or recovering their 3D shape in the presence of specularities and cast shadows. In this paper, we present a novel Tensor-Spline-based framework for facial image analysis. We show that, using this framework, the facial apparent BRDF field can be accurately estimated while seamlessly accounting for cast shadows and specularities. Further, using local neighborhood information, the same framework can be exploited to recover the 3D shape of the face (to handle pose variation). We quantitatively validate the accuracy of the Tensor Spline model using a more general model based on the mixture of single-lobed spherical functions. We demonstrate the effectiveness of our technique by presenting extensive experimental results for face relighting, 3D shape recovery, and face recognition using the Extended Yale B and CMU PIE benchmark data sets.

Comparison of safety effect estimates obtained from empirical Bayes before-after study, propensity scores-potential outcomes framework, and regression model with cross-sectional data.

PubMed

Wood, Jonathan S; Donnell, Eric T; Porter, Richard J

2015-02-01

A variety of different study designs and analysis methods have been used to evaluate the performance of traffic safety countermeasures. The most common study designs and methods include observational before-after studies using the empirical Bayes method and cross-sectional studies using regression models. The propensity scores-potential outcomes framework has recently been proposed as an alternative traffic safety countermeasure evaluation method to address the challenges associated with selection biases that can be part of cross-sectional studies. Crash modification factors derived from the application of all three methods have not yet been compared. This paper compares the results of retrospective, observational evaluations of a traffic safety countermeasure using both before-after and cross-sectional study designs. The paper describes the strengths and limitations of each method, focusing primarily on how each addresses site selection bias, which is a common issue in observational safety studies. The Safety Edge paving technique, which seeks to mitigate crashes related to roadway departure events, is the countermeasure used in the present study to compare the alternative evaluation methods. The results indicated that all three methods yielded results that were consistent with each other and with previous research. The empirical Bayes results had the smallest standard errors. It is concluded that the propensity scores with potential outcomes framework is a viable alternative analysis method to the empirical Bayes before-after study. It should be considered whenever a before-after study is not possible or practical. Copyright © 2014 Elsevier Ltd. All rights reserved.

A scoping review of spatial cluster analysis techniques for point-event data.

PubMed

Fritz, Charles E; Schuurman, Nadine; Robertson, Colin; Lear, Scott

2013-05-01

Spatial cluster analysis is a uniquely interdisciplinary endeavour, and so it is important to communicate and disseminate ideas, innovations, best practices and challenges across practitioners, applied epidemiology researchers and spatial statisticians. In this research we conducted a scoping review to systematically search peer-reviewed journal databases for research that has employed spatial cluster analysis methods on individual-level, address location, or x and y coordinate derived data. To illustrate the thematic issues raised by our results, methods were tested using a dataset where known clusters existed. Point pattern methods, spatial clustering and cluster detection tests, and a locally weighted spatial regression model were most commonly used for individual-level, address location data (n = 29). The spatial scan statistic was the most popular method for address location data (n = 19). Six themes were identified relating to the application of spatial cluster analysis methods and subsequent analyses, which we recommend researchers to consider; exploratory analysis, visualization, spatial resolution, aetiology, scale and spatial weights. It is our intention that researchers seeking direction for using spatial cluster analysis methods, consider the caveats and strengths of each approach, but also explore the numerous other methods available for this type of analysis. Applied spatial epidemiology researchers and practitioners should give special consideration to applying multiple tests to a dataset. Future research should focus on developing frameworks for selecting appropriate methods and the corresponding spatial weighting schemes.

Justice, Sacrifice, and the Universal Audience: George Bush's "Address to the Nation Announcing Allied Military Action in the Persian Gulf."

ERIC Educational Resources Information Center

Pearce, Kimber Charles; Fadely, Dean

1992-01-01

Analyzes the quasi-logical argumentative framework of George Bush's address in which he endeavored to gain compliance and justify his actions at the beginning of the Persian Gulf War. Identifies arguments of comparison and sacrifice within that framework and examines the role of justice in the speech. (TB)

A Violent Birth: Reframing Coerced Procedures During Childbirth as Obstetric Violence.

PubMed

Borges, Maria TR

2018-01-01

In the United States, women are routinely forced to undergo cesarean sections, episiotomies, and the use of forceps, despite their desire to attempt natural vaginal delivery. Yet, the current American legal system does little to provide redress for women coerced to undergo certain medical procedures during childbirth. Courts and physicians alike are prepared to override a woman's choice of childbirth procedure if they believe this choice poses risks to the fetus, and both give little value to the woman's right to bodily autonomy. This Note proposes a solution for addressing the problem of coerced medical procedures during childbirth by importing a framework created in Venezuela and Argentina that characterizes this issue as "obstetric violence." First, this Note contains an overview of the shortcomings of the existing American legal framework to address the problem. Second, it explains the advantages of the obstetric violence framework and argues that its adoption in the United States would address many of the failures of the existing system. And third, this Note introduces a few legislative and litigation strategies that can be used to implement this framework in the United States and briefly addresses some of the challenges these strategies may pose.

A Causal Inference Analysis of the Effect of Wildland Fire ...

EPA Pesticide Factsheets

Wildfire smoke is a major contributor to ambient air pollution levels. In this talk, we develop a spatio-temporal model to estimate the contribution of fire smoke to overall air pollution in different regions of the country. We combine numerical model output with observational data within a causal inference framework. Our methods account for aggregation and potential bias of the numerical model simulation, and address uncertainty in the causal estimates. We apply the proposed method to estimation of ozone and fine particulate matter from wildland fires and the impact on health burden assessment. We develop a causal inference framework to assess contributions of fire to ambient PM in the presence of spatial interference.

Data Rights and Responsibilities

PubMed Central

Wyndham, Jessica M.

2015-01-01

A human-rights-based analysis can be a useful tool for the scientific community and policy makers as they develop codes of conduct, harmonized standards, and national policies for data sharing. The human rights framework provides a shared set of values and norms across borders, defines rights and responsibilities of various actors involved in data sharing, addresses the potential harms as well as the benefits of data sharing, and offers a framework for balancing competing values. The right to enjoy the benefits of scientific progress and its applications offers a particularly helpful lens through which to view data as both a tool of scientific inquiry to which access is vital and as a product of science from which everyone should benefit. PMID:26297755

A graph algebra for scalable visual analytics.

PubMed

Shaverdian, Anna A; Zhou, Hao; Michailidis, George; Jagadish, Hosagrahar V

2012-01-01

Visual analytics (VA), which combines analytical techniques with advanced visualization features, is fast becoming a standard tool for extracting information from graph data. Researchers have developed many tools for this purpose, suggesting a need for formal methods to guide these tools' creation. Increased data demands on computing requires redesigning VA tools to consider performance and reliability in the context of analysis of exascale datasets. Furthermore, visual analysts need a way to document their analyses for reuse and results justification. A VA graph framework encapsulated in a graph algebra helps address these needs. Its atomic operators include selection and aggregation. The framework employs a visual operator and supports dynamic attributes of data to enable scalable visual exploration of data.

Language for Reconciliation in Religious Discourse: A Critical Discourse Analysis of Contradictions in Sermons Explored through the Activity Theory Framework

ERIC Educational Resources Information Center

Singh, Parvinder Kaur Hukam; Thuraisingam, Thavamalar

2011-01-01

This paper attempts to shed light on the role of language in keeping religion relevant to the individual and society in present times. In the context of postmodernity, religion has become more of a meaning system to address the existential questions of the individual. Religious institutions have had to accommodate the changes brought about by a…

Microgravity strategic plan, 1988

NASA Technical Reports Server (NTRS)

1988-01-01

The NASA agency-wide microgravity strategic plan is presented, and its research, applications, and commercialization for the 1990's is addressed. The plan presents an analysis of the current situation, identifies critical factors, and defines goals, objectives, and strategies, which are intended to: (1) provide a context for decision making; (2) assure realism in long-range planning and direction for hardware development; and (3) establish a framework for developing a national microgravity research plan.

How Much of What? An Analysis of the Espoused and Enacted Mathematics and English Curricula for Intermediate Phase Student Teachers at Five South African Universities

ERIC Educational Resources Information Center

Bowie, Lynn; Reed, Yvonne

2016-01-01

Regulatory bodies such as the Department of Higher Education and Training (DHET) provide a framework of formal criteria to be addressed by providers of initial teacher education (ITE) but these criteria can be interpreted in many different ways. The Initial Teacher Education Research Project (ITERP) has investigated the preparation of intermediate…

Grounding a new information technology implementation framework in behavioral science: a systematic analysis of the literature on IT use.

PubMed

Kukafka, Rita; Johnson, Stephen B; Linfante, Allison; Allegrante, John P

2003-06-01

Many interventions to improve the success of information technology (IT) implementations are grounded in behavioral science, using theories, and models to identify conditions and determinants of successful use. However, each model in the IT literature has evolved to address specific theoretical problems of particular disciplinary concerns, and each model has been tested and has evolved using, in most cases, a more or less restricted set of IT implementation procedures. Functionally, this limits the perspective for taking into account the multiple factors at the individual, group, and organizational levels that influence use behavior. While a rich body of literature has emerged, employing prominent models such as the Technology Adoption Model, Social-Cognitive Theory, and Diffusion of Innovation Theory, the complexity of defining a suitable multi-level intervention has largely been overlooked. A gap exists between the implementation of IT and the integration of theories and models that can be utilized to develop multi-level approaches to identify factors that impede usage behavior. We present a novel framework that is intended to guide synthesis of more than one theoretical perspective for the purpose of planning multi-level interventions to enhance IT use. This integrative framework is adapted from PRECEDE/PROCEDE, a conceptual framework used by health planners in hundreds of published studies to direct interventions that account for the multiple determinants of behavior. Since we claim that the literature on IT use behavior does not now include a multi-level approach, we undertook a systematic literature analysis to confirm this assertion. Our framework facilitated organizing this literature synthesis and our analysis was aimed at determining if the IT implementation approaches in the published literature were characterized by an approach that considered at least two levels of IT usage determinants. We found that while 61% of studies mentioned or referred to theory, none considered two or more levels. In other words, although the researchers employ behavioral theory, they omit two fundamental propositions: (1) IT usage is influenced by multiple factors and (2) interventions must be multi-dimensional. Our literature synthesis may provide additional insight into the reason for high failure rates associated with underutilized systems, and underscores the need to move beyond the current dominant approach that employs a single model to guide IT implementation plans that aim to address factors associated with IT acceptance and subsequent positive use behavior.

Addressing location uncertainties in GPS-based activity monitoring: A methodological framework

PubMed Central

Wan, Neng; Lin, Ge; Wilson, Gaines J.

2016-01-01

Location uncertainty has been a major barrier in information mining from location data. Although the development of electronic and telecommunication equipment has led to an increased amount and refined resolution of data about individuals’ spatio-temporal trajectories, the potential of such data, especially in the context of environmental health studies, has not been fully realized due to the lack of methodology that addresses location uncertainties. This article describes a methodological framework for deriving information about people’s continuous activities from individual-collected Global Positioning System (GPS) data, which is vital for a variety of environmental health studies. This framework is composed of two major methods that address critical issues at different stages of GPS data processing: (1) a fuzzy classification method for distinguishing activity patterns; and (2) a scale-adaptive method for refining activity locations and outdoor/indoor environments. Evaluation of this framework based on smartphone-collected GPS data indicates that it is robust to location errors and is able to generate useful information about individuals’ life trajectories. PMID:28943777

Decision strategies to reduce teenage and young adult deaths in the United States.

PubMed

Keeney, Ralph L; Palley, Asa B

2013-09-01

This article uses decision analysis concepts and techniques to address an extremely important problem to any family with children, namely, how to avoid the tragic death of a child during the high-risk ages of 15-24. Descriptively, our analysis indicates that of the 35,000 annual deaths among this age group in the United States, approximately 20,000 could be avoided if individuals chose readily available alternatives for decisions relating to these deaths. Prescriptively, we develop a decision framework for parents and a child to both identify and proactively pursue decisions that can lower that child's exposure to life-threatening risks and positively alter decisions when facing such risks. Applying this framework for parents and the youth themselves, we illustrate the logic and process of generating proactive alternatives with numerous examples that each could pursue to lower these life-threatening risks and possibly avoid a tragic premature death, and discuss some public policy implications of our findings. © 2013 Society for Risk Analysis.

Quantifying the Energy Landscape Statistics in Proteins - a Relaxation Mode Analysis

NASA Astrophysics Data System (ADS)

Cai, Zhikun; Zhang, Yang

Energy landscape, the hypersurface in the configurational space, has been a useful concept in describing complex processes that occur over a very long time scale, such as the multistep slow relaxations of supercooled liquids and folding of polypeptide chains into structured proteins. Despite extensive simulation studies, its experimental characterization still remains a challenge. To address this challenge, we developed a relaxation mode analysis (RMA) for liquids under a framework analogous to the normal mode analysis for solids. Using RMA, important statistics of the activation barriers of the energy landscape becomes accessible from experimentally measurable two-point correlation functions, e.g. using quasi-elastic and inelastic scattering experiments. We observed a prominent coarsening effect of the energy landscape. The results were further confirmed by direct sampling of the energy landscape using a metadynamics-like adaptive autonomous basin climbing computation. We first demonstrate RMA in a supercooled liquid when dynamical cooperativity emerges in the landscape-influenced regime. Then we show this framework reveals encouraging energy landscape statistics when applied to proteins.

The middle-class nature of identity and its implications for education: a genealogical analysis and reevaluation of a culturally and historically bounded concept.

PubMed

Matusov, Eugene; Smith, Mark Philip

2012-09-01

We consider identity as a historically emerging discourse that requires genealogical analysis - not to discover the roots of our identity but to commit [ourselves] to its dissipation (Foucault 1977, p. 162). We suggest analyzing identity through the history of socio-economic classes, their life struggles, ambitions, development, and reproduction. We see learning not as a project of transformation of identity, but rather as developing access to socially valuable practices and developing one's own voice within these practices (through addressing and responding to other voices). The access and voice projects free agents from unnecessary finalization and objectivization by oneself and others (Bakhtin 1999; Bakhtin 1990). In education, we should develop indigenous discourses of learning and develop a conceptual framework that makes analysis of diverse discourses possible. We argue that learning, as transformation of participation in a sociocultural practice to gain more access, is a better conceptual framework than learning as transformation of identity.

Analysis and design of gain scheduled control systems. Ph.D. Thesis

NASA Technical Reports Server (NTRS)

Shamma, Jeff S.

1988-01-01

Gain scheduling, as an idea, is to construct a global feedback control system for a time varying and/or nonlinear plant from a collection of local time invariant designs. However in the absence of a sound analysis, these designs come with no guarantees on the robustness, performance, or even nominal stability of the overall gain schedule design. Such an analysis is presented for three types of gain scheduling situations: (1) a linear parameter varying plant scheduling on its exogenous parameters, (2) a nonlinear plant scheduling on a prescribed reference trajectory, and (3) a nonlinear plant scheduling on the current plant output. Conditions are given which guarantee that the stability, robustness, and performance properties of the fixed operating point designs carry over to the global gain scheduled designs, such as the scheduling variable should vary slowly and capture the plants nonlinearities. Finally, an alternate design framework is proposed which removes the slowing varying restriction or gain scheduled systems. This framework addresses some fundamental feedback issues previously ignored in standard gain.

Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)

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

Williams, Dean N.; Silva, Claudio

2013-09-30

For the past three years, a large analysis and visualization effort—funded by the Department of Energy’s Office of Biological and Environmental Research (BER), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA)—has brought together a wide variety of industry-standard scientific computing libraries and applications to create Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) to serve the global climate simulation and observational research communities. To support interactive analysis and visualization, all components connect through a provenance application–programming interface to capture meaningful history and workflow. Components can be loosely coupled into the framework for fast integrationmore » or tightly coupled for greater system functionality and communication with other components. The overarching goal of UV-CDAT is to provide a new paradigm for access to and analysis of massive, distributed scientific data collections by leveraging distributed data architectures located throughout the world. The UV-CDAT framework addresses challenges in analysis and visualization and incorporates new opportunities, including parallelism for better efficiency, higher speed, and more accurate scientific inferences. Today, it provides more than 600 users access to more analysis and visualization products than any other single source.« less

Bridging Human Reliability Analysis and Psychology, Part 2: A Cognitive Framework to Support HRA

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

April M. Whaley; Stacey M. L. Hendrickson; Ronald L. Boring

This is the second of two papers that discuss the literature review conducted as part of the U.S. Nuclear Regulatory Commission (NRC) effort to develop a hybrid human reliability analysis (HRA) method in response to Staff Requirements Memorandum (SRM) SRM-M061020. This review was conducted with the goal of strengthening the technical basis within psychology, cognitive science and human factors for the hybrid HRA method being proposed. An overview of the literature review approach and high-level structure is provided in the first paper, whereas this paper presents the results of the review. The psychological literature review encompassed research spanning the entiretymore » of human cognition and performance, and consequently produced an extensive list of psychological processes, mechanisms, and factors that contribute to human performance. To make sense of this large amount of information, the results of the literature review were organized into a cognitive framework that identifies causes of failure of macrocognition in humans, and connects those proximate causes to psychological mechanisms and performance influencing factors (PIFs) that can lead to the failure. This cognitive framework can serve as a tool to inform HRA. Beyond this, however, the cognitive framework has the potential to also support addressing human performance issues identified in Human Factors applications.« less

Drinking Water Management and Governance in Canada: An Innovative Plan-Do-Check-Act (PDCA) Framework for a Safe Drinking Water Supply

NASA Astrophysics Data System (ADS)

Bereskie, Ty; Rodriguez, Manuel J.; Sadiq, Rehan

2017-08-01

Drinking water management in Canada is complex, with a decentralized, three-tiered governance structure responsible for safe drinking water throughout the country. The current approach has been described as fragmented, leading to governance gaps, duplication of efforts, and an absence of accountability and enforcement. Although there have been no major waterborne disease outbreaks in Canada since 2001, a lack of performance improvement, especially in small drinking water systems, is evident. The World Health Organization water safety plan approach for drinking water management represents an alternative preventative management framework to the current conventional, reactive drinking water management strategies. This approach has seen successful implementation throughout the world and has the potential to address many of the issues with drinking water management in Canada. This paper presents a review and strengths-weaknesses-opportunities-threats analysis of drinking water management and governance in Canada at the federal, provincial/territorial, and municipal levels. Based on this analysis, a modified water safety plan (defined as the plan-do-check-act (PDCA)-WSP framework) is proposed, established from water safety plan recommendations and the principles of PDCA for continuous performance improvement. This proposed framework is designed to strengthen current drinking water management in Canada and is designed to fit within and incorporate the existing governance structure.

Drinking Water Management and Governance in Canada: An Innovative Plan-Do-Check-Act (PDCA) Framework for a Safe Drinking Water Supply.

PubMed

Bereskie, Ty; Rodriguez, Manuel J; Sadiq, Rehan

2017-08-01

Drinking water management in Canada is complex, with a decentralized, three-tiered governance structure responsible for safe drinking water throughout the country. The current approach has been described as fragmented, leading to governance gaps, duplication of efforts, and an absence of accountability and enforcement. Although there have been no major waterborne disease outbreaks in Canada since 2001, a lack of performance improvement, especially in small drinking water systems, is evident. The World Health Organization water safety plan approach for drinking water management represents an alternative preventative management framework to the current conventional, reactive drinking water management strategies. This approach has seen successful implementation throughout the world and has the potential to address many of the issues with drinking water management in Canada. This paper presents a review and strengths-weaknesses-opportunities-threats analysis of drinking water management and governance in Canada at the federal, provincial/territorial, and municipal levels. Based on this analysis, a modified water safety plan (defined as the plan-do-check-act (PDCA)-WSP framework) is proposed, established from water safety plan recommendations and the principles of PDCA for continuous performance improvement. This proposed framework is designed to strengthen current drinking water management in Canada and is designed to fit within and incorporate the existing governance structure.

A proposed analytic framework for determining the impact of an antimicrobial resistance intervention.

PubMed

Grohn, Yrjo T; Carson, Carolee; Lanzas, Cristina; Pullum, Laura; Stanhope, Michael; Volkova, Victoriya

2017-06-01

Antimicrobial use (AMU) is increasingly threatened by antimicrobial resistance (AMR). The FDA is implementing risk mitigation measures promoting prudent AMU in food animals. Their evaluation is crucial: the AMU/AMR relationship is complex; a suitable framework to analyze interventions is unavailable. Systems science analysis, depicting variables and their associations, would help integrate mathematics/epidemiology to evaluate the relationship. This would identify informative data and models to evaluate interventions. This National Institute for Mathematical and Biological Synthesis AMR Working Group's report proposes a system framework to address the methodological gap linking livestock AMU and AMR in foodborne bacteria. It could evaluate how AMU (and interventions) impact AMR. We will evaluate pharmacokinetic/dynamic modeling techniques for projecting AMR selection pressure on enteric bacteria. We study two methods to model phenotypic AMR changes in bacteria in the food supply and evolutionary genotypic analyses determining molecular changes in phenotypic AMR. Systems science analysis integrates the methods, showing how resistance in the food supply is explained by AMU and concurrent factors influencing the whole system. This process is updated with data and techniques to improve prediction and inform improvements for AMU/AMR surveillance. Our proposed framework reflects both the AMR system's complexity, and desire for simple, reliable conclusions.

Foundational Tools for Petascale Computing

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

Miller, Barton

2014-05-19

The Paradyn project has a history of developing algorithms, techniques, and software that push the cutting edge of tool technology for high-end computing systems. Under this funding, we are working on a three-year agenda to make substantial new advances in support of new and emerging Petascale systems. The overall goal for this work is to address the steady increase in complexity of these petascale systems. Our work covers two key areas: (1) The analysis, instrumentation and control of binary programs. Work in this area falls under the general framework of the Dyninst API tool kits. (2) Infrastructure for building toolsmore » and applications at extreme scale. Work in this area falls under the general framework of the MRNet scalability framework. Note that work done under this funding is closely related to work done under a contemporaneous grant, “High-Performance Energy Applications and Systems”, SC0004061/FG02-10ER25972, UW PRJ36WV.« less

openSE: a Systems Engineering Framework Particularly Suited to Particle Accelerator Studies and Development Projects

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

Bonnal, P.; Féral, B.; Kershaw, K.

Particle accelerator projects share many characteristics with industrial projects. However, experience has shown that best practice of industrial project management is not always well suited to particle accelerator projects. Major differences include the number and complexity of technologies involved, the importance of collaborative work, development phases that can last more than a decade, and the importance of telerobotics and remote handling to address future preventive and corrective maintenance requirements due to induced radioactivity, to cite just a few. The openSE framework it is a systems engineering and project management framework specifically designed for scientific facilities’ systems and equipment studies andmore » development projects. Best practices in project management, in systems and requirements engineering, in telerobotics and remote handling and in radiation safety management were used as sources of inspiration, together with analysis of current practices surveyed at CERN, GSI and ESS.« less

Replicating MISTERS: an epidemiological criminology framework analysis of a program for criminal justice-involved minority males in the community.

PubMed

Potter, Roberto Hugh; Akers, Timothy A; Bowman, Daniel Richard

2013-01-01

The Men in STD Training and Empowerment Research Study (MISTERS) program and epidemiological criminology began their development in Atlanta at about the same time. MISTERS focuses on men recently released from jail to reduce both HIV/STD and crime-related risk factors through a brief educational intervention. This article examines ways in which MISTERS and epidemiological criminology have been used to inform one another in the replication of the MISTERS program in Orange County, Florida. Data from 110 MISTERS participants during the first 10 months of operation are analyzed to examine the overlapping occurrence of health and criminal risk behaviors in the men's lives. This provides a test of core hypotheses from the epidemiological criminology framework. This article also examines application of the epidemiological criminology framework to develop interventions to address health and crime risk factors simultaneously in Criminal Justice-Involved populations in the community.

Herbal medicine research and global health: an ethical analysis.

PubMed

Tilburt, Jon C; Kaptchuk, Ted J

2008-08-01

Governments, international agencies and corporations are increasingly investing in traditional herbal medicine research. Yet little literature addresses ethical challenges in this research. In this paper, we apply concepts in a comprehensive ethical framework for clinical research to international traditional herbal medicine research. We examine in detail three key, underappreciated dimensions of the ethical framework in which particularly difficult questions arise for international herbal medicine research: social value, scientific validity and favourable risk-benefit ratio. Significant challenges exist in determining shared concepts of social value, scientific validity and favourable risk-benefit ratio across international research collaborations. However, we argue that collaborative partnership, including democratic deliberation, offers the context and process by which many of the ethical challenges in international herbal medicine research can, and should be, resolved. By "cross-training" investigators, and investing in safety-monitoring infrastructure, the issues identified by this comprehensive framework can promote ethically sound international herbal medicine research that contributes to global health.

The Role of Multiphysics Simulation in Multidisciplinary Analysis

NASA Technical Reports Server (NTRS)

Rifai, Steven M.; Ferencz, Robert M.; Wang, Wen-Ping; Spyropoulos, Evangelos T.; Lawrence, Charles; Melis, Matthew E.

1998-01-01

This article describes the applications of the Spectrum(Tm) Solver in Multidisciplinary Analysis (MDA). Spectrum, a multiphysics simulation software based on the finite element method, addresses compressible and incompressible fluid flow, structural, and thermal modeling as well as the interaction between these disciplines. Multiphysics simulation is based on a single computational framework for the modeling of multiple interacting physical phenomena. Interaction constraints are enforced in a fully-coupled manner using the augmented-Lagrangian method. Within the multiphysics framework, the finite element treatment of fluids is based on Galerkin-Least-Squares (GLS) method with discontinuity capturing operators. The arbitrary-Lagrangian-Eulerian method is utilized to account for deformable fluid domains. The finite element treatment of solids and structures is based on the Hu-Washizu variational principle. The multiphysics architecture lends itself naturally to high-performance parallel computing. Aeroelastic, propulsion, thermal management and manufacturing applications are presented.

The Adolescent Community of Engagement: A Framework for Research on Adolescent Online Learning

ERIC Educational Resources Information Center

Borup, Jered; West, Richard E.; Graham, Charles R.; Davies, Randall S.

2014-01-01

This paper describes the Adolescent Community of Engagement (ACE) framework as a lens to guide research and design in adolescent online learning environments. Several online learning frameworks have emerged from higher education contexts, but these frameworks do not explicitly address the unique student and environmental characteristics of the…

Creating a three level building classification using topographic and address-based data for Manchester

NASA Astrophysics Data System (ADS)

Hussain, M.; Chen, D.

2014-11-01

Buildings, the basic unit of an urban landscape, host most of its socio-economic activities and play an important role in the creation of urban land-use patterns. The spatial arrangement of different building types creates varied urban land-use clusters which can provide an insight to understand the relationships between social, economic, and living spaces. The classification of such urban clusters can help in policy-making and resource management. In many countries including the UK no national-level cadastral database containing information on individual building types exists in public domain. In this paper, we present a framework for inferring functional types of buildings based on the analysis of their form (e.g. geometrical properties, such as area and perimeter, layout) and spatial relationship from large topographic and address-based GIS database. Machine learning algorithms along with exploratory spatial analysis techniques are used to create the classification rules. The classification is extended to two further levels based on the functions (use) of buildings derived from address-based data. The developed methodology was applied to the Manchester metropolitan area using the Ordnance Survey's MasterMap®, a large-scale topographic and address-based data available for the UK.

'What women want': Using image theory to develop expectations of maternity care framework.

PubMed

Clark, Kim; Beatty, Shelley; Reibel, Tracy

2015-05-01

to develop, in consultation with women, a theoretically-grounded framework to guide the assessment of women's maternity-care experiences. qualitative research was undertaken with women to examine the appropriateness of Image Theory as a heuristic for understanding how women plan and evaluate their maternity-care experiences. maternity-care services in metropolitan and regional communities in Western Australia. an Episodes of Maternity Care Framework grounded in Image Theory was established that addressed various domains of women's perceptions and expectations of their maternity-care experience. previously-identified weaknesses of methods used to measure patient satisfaction were addressed and a valid framework for investigating women's perception of their maternity-services experiences was developed. This framework has the potential to contribute to the ongoing development and improvement of maternity-care service. Copyright © 2015 Elsevier Ltd. All rights reserved.

Issues in container transportation in the Northeast : background, framework, illustrative results and future directions

DOT National Transportation Integrated Search

2004-12-01

An integrated framework for addressing container transportation issues in the Northeast US is developed and illustrated. The framework involves the extension of a spatial-economic coastal container port and related multimodal demand simulation model ...

Another Initiative? Where Does it Fit? A Unifying Framework and an Integrated Infrastructure for Schools to Address Barriers to Learning and Promote Healthy Development

ERIC Educational Resources Information Center

Center for Mental Health in Schools at UCLA, 2005

2005-01-01

This report was developed to highlight the current state of affairs and illustrate the value of a unifying framework and integrated infrastructure for the many initiatives, projects, programs, and services schools pursue in addressing barriers to learning and promoting healthy development. Specifically, it highlights how initiatives can be…

Using frameworks to diagram value in complex policy and environmental interventions to prevent childhood obesity.

PubMed

Swank, Melissa Farrell; Brennan, Laura K; Gentry, Daniel; Kemner, Allison L

2015-01-01

To date, few tools assist policy makers and practitioners in understanding and conveying the implementation costs, potential impacts, and value of policy and environmental changes to address healthy eating, active living, and childhood obesity. For the Evaluation of Healthy Kids, Healthy Communities (HKHC), evaluators considered inputs (resources and investments) that generate costs and savings as well as benefits and harms related to social, economic, environmental, and health-related outcomes in their assessment of 49 HKHC community partnerships funded from 2009 to 2014. Using data collected through individual and group interviews and an online performance monitoring system, evaluators created a socioecological framework to assess investments, resources, costs, savings, benefits, and harms at the individual, organizational, community, and societal levels. Evaluators customized frameworks for 6 focal strategies: active transportation, parks and play spaces, child care physical activity standards, corner stores, farmers' markets, and child care nutrition standards. To illustrate the Value Frameworks, this brief highlights the 38 HKHC communities implementing at least 1 active transportation strategy. Evaluators populated this conceptual Value Framework with themes from the strategy-specific inputs and outputs. The range of factors corresponding to the implementation and impact of the HKHC community partnerships are highlighted along with the inputs and outputs. The Value Frameworks helped evaluators identify gaps in current analysis models (ie, benefit-cost analysis, cost-effectiveness analysis) as well as paint a more complete picture of value for potential obesity prevention strategies. These frameworks provide a comprehensive understanding of investments needed, proposed costs and savings, and potential benefits and harms associated with economic, social, environmental, and health outcomes. This framing also allowed evaluators to demonstrate the interdependence of each socioecological level on the others in these multicomponent interventions. This model can be used by practitioners and community leaders to assess realistic and sustainable strategies to combat childhood obesity.

Rhetorical Genre: The Countercommencement Address as Jeremiad.

ERIC Educational Resources Information Center

King, Corwin P.

The "countercommencement" address (sometimes composed in reaction to the traditional commencement address) may be usefully criticized as an example of the rhetorical genre known as the "secular jeremiad." This provides a conceptual framework for interpreting the motives and meanings of such an address, which is typically…

Mode of action human relevance (species concordance) framework: Evolution of the Bradford Hill considerations and comparative analysis of weight of evidence.

PubMed

Meek, M E Bette; Palermo, Christine M; Bachman, Ammie N; North, Colin M; Jeffrey Lewis, R

2014-06-01

The mode of action human relevance (MOA/HR) framework increases transparency in systematically considering data on MOA for end (adverse) effects and their relevance to humans. This framework continues to evolve as experience increases in its application. Though the MOA/HR framework is not designed to address the question of "how much information is enough" to support a hypothesized MOA in animals or its relevance to humans, its organizing construct has potential value in considering relative weight of evidence (WOE) among different cases and hypothesized MOA(s). This context is explored based on MOA analyses in published assessments to illustrate the relative extent of supporting data and their implications for dose-response analysis and involved comparisons for chemical assessments on trichloropropane, and carbon tetrachloride with several hypothesized MOA(s) for cancer. The WOE for each hypothesized MOA was summarized in narrative tables based on comparison and contrast of the extent and nature of the supporting database versus potentially inconsistent or missing information. The comparison was based on evolved Bradford Hill considerations rank ordered to reflect their relative contribution to WOE determinations of MOA taking into account increasing experience in their application internationally. This clarification of considerations for WOE determinations as a basis for comparative analysis is anticipated to contribute to increasing consistency in the application of MOA/HR analysis and potentially, transparency in separating science judgment from public policy considerations in regulatory risk assessment. Copyright © 2014. The Authors. Journal of Applied Toxicology Published by John Wiley & Sons Ltd.

Replicating human expertise of mechanical ventilation waveform analysis in detecting patient-ventilator cycling asynchrony using machine learning.

PubMed

Gholami, Behnood; Phan, Timothy S; Haddad, Wassim M; Cason, Andrew; Mullis, Jerry; Price, Levi; Bailey, James M

2018-06-01

- Acute respiratory failure is one of the most common problems encountered in intensive care units (ICU) and mechanical ventilation is the mainstay of supportive therapy for such patients. A mismatch between ventilator delivery and patient demand is referred to as patient-ventilator asynchrony (PVA). An important hurdle in addressing PVA is the lack of a reliable framework for continuously and automatically monitoring the patient and detecting various types of PVA. - The problem of replicating human expertise of waveform analysis for detecting cycling asynchrony (i.e., delayed termination, premature termination, or none) was investigated in a pilot study involving 11 patients in the ICU under invasive mechanical ventilation. A machine learning framework is used to detect cycling asynchrony based on waveform analysis. - A panel of five experts with experience in PVA evaluated a total of 1377 breath cycles from 11 mechanically ventilated critical care patients. The majority vote was used to label each breath cycle according to cycling asynchrony type. The proposed framework accurately detected the presence or absence of cycling asynchrony with sensitivity (specificity) of 89% (99%), 94% (98%), and 97% (93%) for delayed termination, premature termination, and no cycling asynchrony, respectively. The system showed strong agreement with human experts as reflected by the kappa coefficients of 0.90, 0.91, and 0.90 for delayed termination, premature termination, and no cycling asynchrony, respectively. - The pilot study establishes the feasibility of using a machine learning framework to provide waveform analysis equivalent to an expert human. Copyright © 2018 Elsevier Ltd. All rights reserved.

The VIDA Framework as an Education Tool: Leveraging Volcanology Data for Educational Purposes

NASA Astrophysics Data System (ADS)

Faied, D.; Sanchez, A.

2009-04-01

The VIDA Framework as an Education Tool: Leveraging Volcanology Data for Educational Purposes Dohy Faied, Aurora Sanchez (on behalf of SSP08 VAPOR Project Team) While numerous global initiatives exist to address the potential hazards posed by volcanic eruption events and assess impacts from a civil security viewpoint, there does not yet exist a single, unified, international system of early warning and hazard tracking for eruptions. Numerous gaps exist in the risk reduction cycle, from data collection, to data processing, and finally dissemination of salient information to relevant parties. As part of the 2008 International Space University's Space Studies Program, a detailed gap analysis of the state of volcano disaster risk reduction was undertaken, and this paper presents the principal results. This gap analysis considered current sensor technologies, data processing algorithms, and utilization of data products by various international organizations. Recommendations for strategies to minimize or eliminate certain gaps are also provided. In the effort to address the gaps, a framework evolved at system level. This framework, known as VIDA, is a tool to develop user requirements for civil security in hazardous contexts, and a candidate system concept for a detailed design phase. While the basic intention of VIDA is to support disaster risk reduction efforts, there are several methods of leveraging raw science data to support education across a wide demographic. Basic geophysical data could be used to educate school children about the characteristics of volcanoes, satellite mappings could support informed growth and development of societies in at-risk areas, and raw sensor data could contribute to a wide range of university-level research projects. Satellite maps, basic geophysical data, and raw sensor data are combined and accessible in a way that allows the relationships between these data types to be explored and used in a training environment. Such a resource naturally lends itself to research efforts in the subject but also research in operational tools, system architecture, and human/machine interaction in civil protection or emergency scenarios.

Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects.

PubMed

Kang, Ziho; Mandal, Saptarshi; Crutchfield, Jerry; Millan, Angel; McClung, Sarah N

2016-01-01

Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2) introducing the concept of AOI gap tolerance (AGT) that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3) finding a near optimal AGT value. The approach was tested in the context of air traffic control (ATC) operations where air traffic controller specialists (ATCSs) interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation. In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects. The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance.

Designs and Algorithms to Map Eye Tracking Data with Dynamic Multielement Moving Objects

PubMed Central

Mandal, Saptarshi

2016-01-01

Design concepts and algorithms were developed to address the eye tracking analysis issues that arise when (1) participants interrogate dynamic multielement objects that can overlap on the display and (2) visual angle error of the eye trackers is incapable of providing exact eye fixation coordinates. These issues were addressed by (1) developing dynamic areas of interests (AOIs) in the form of either convex or rectangular shapes to represent the moving and shape-changing multielement objects, (2) introducing the concept of AOI gap tolerance (AGT) that controls the size of the AOIs to address the overlapping and visual angle error issues, and (3) finding a near optimal AGT value. The approach was tested in the context of air traffic control (ATC) operations where air traffic controller specialists (ATCSs) interrogated multiple moving aircraft on a radar display to detect and control the aircraft for the purpose of maintaining safe and expeditious air transportation. In addition, we show how eye tracking analysis results can differ based on how we define dynamic AOIs to determine eye fixations on moving objects. The results serve as a framework to more accurately analyze eye tracking data and to better support the analysis of human performance. PMID:27725830

Health labour market policies in support of universal health coverage: a comprehensive analysis in four African countries.

PubMed

Sousa, Angelica; Scheffler, Richard M; Koyi, Grayson; Ngah, Symplice Ngah; Abu-Agla, Ayat; M'kiambati, Harrison M; Nyoni, Jennifer

2014-09-26

Progress toward universal health coverage in many low- and middle-income countries is hindered by the lack of an adequate health workforce that can deliver quality services accessible to the entire population. We used a health labour market framework to investigate the key indicators of the dynamics of the health labour market in Cameroon, Kenya, Sudan, and Zambia, and identified the main policies implemented in these countries in the past ten years to address shortages and maldistribution of health workers. Despite increased availability of health workers in the four countries, major shortages and maldistribution persist. Several factors aggravate these problems, including migration, an aging workforce, and imbalances in skill mix composition. In this paper, we provide new evidence to inform decision-making for health workforce planning and analysis in low- and middle-income countries. Partial health workforce policies are not sufficient to address these issues. It is crucial to perform a comprehensive analysis in order to understand the dynamics of the health labour market and develop effective polices to address health workforce shortages and maldistribution as part of efforts to attain universal health coverage.

Inclusion and Human Rights in Health Policies: Comparative and Benchmarking Analysis of 51 Policies from Malawi, Sudan, South Africa and Namibia

PubMed Central

MacLachlan, Malcolm; Amin, Mutamad; Mannan, Hasheem; El Tayeb, Shahla; Bedri, Nafisa; Swartz, Leslie; Munthali, Alister; Van Rooy, Gert; McVeigh, Joanne

2012-01-01

While many health services strive to be equitable, accessible and inclusive, peoples’ right to health often goes unrealized, particularly among vulnerable groups. The extent to which health policies explicitly seek to achieve such goals sets the policy context in which services are delivered and evaluated. An analytical framework was developed – EquiFrame – to evaluate 1) the extent to which 21 Core Concepts of human rights were addressed in policy documents, and 2) coverage of 12 Vulnerable Groups who might benefit from such policies. Using this framework, analysis of 51 policies across Malawi, Namibia, South Africa and Sudan, confirmed the relevance of all Core Concepts and Vulnerable Groups. Further, our analysis highlighted some very strong policies, serious shortcomings in others as well as country-specific patterns. If social inclusion and human rights do not underpin policy formation, it is unlikely they will be inculcated in service delivery. EquiFrame facilitates policy analysis and benchmarking, and provides a means for evaluating policy revision and development. PMID:22649488

Integrative evaluation for sustainable decisions of urban wastewater system management under uncertainty

NASA Astrophysics Data System (ADS)

Hadjimichael, A.; Corominas, L.; Comas, J.

2017-12-01

With sustainable development as their overarching goal, urban wastewater system (UWS) managers need to take into account multiple social, economic, technical and environmental facets related to their decisions. In this complex decision-making environment, uncertainty can be formidable. It is present both in the ways the system is interpreted stochastically, but also in its natural ever-shifting behavior. This inherent uncertainty suggests that wiser decisions would be made under an adaptive and iterative decision-making regime. No decision-support framework has been presented in the literature to effectively addresses all these needs. The objective of this work is to describe such a conceptual framework to evaluate and compare alternative solutions for various UWS challenges within an adaptive management structure. Socio-economic aspects such as externalities are taken into account, along with other traditional criteria as necessary. Robustness, reliability and resilience analyses test the performance of the system against present and future variability. A valuation uncertainty analysis incorporates uncertain valuation assumptions in the decision-making process. The framework is demonstrated with an application to a case study presenting a typical problem often faced by managers: poor river water quality, increasing population, and more stringent water quality legislation. The application of the framework made use of: i) a cost-benefit analysis including monetized environmental benefits and damages; ii) a robustness analysis of system performance against future conditions; iii) reliability and resilience analyses of the system given contextual variability; and iv) a valuation uncertainty analysis of model parameters. The results suggest that the installation of bigger volumes would give rise to increased benefits despite larger capital costs, as well as increased robustness and resilience. Population numbers appear to affect the estimated benefits most, followed by electricity prices and climate change projections. The presented framework is expected to be a valuable tool for the next generation of UWS decision-making and the application demonstrates a novel and valuable integration of metrics and methods for UWS analysis.

Using a Data Quality Framework to Clean Data Extracted from the Electronic Health Record: A Case Study

PubMed Central

Dziadkowiec, Oliwier; Callahan, Tiffany; Ozkaynak, Mustafa; Reeder, Blaine; Welton, John

2016-01-01

Objectives: We examine the following: (1) the appropriateness of using a data quality (DQ) framework developed for relational databases as a data-cleaning tool for a data set extracted from two EPIC databases, and (2) the differences in statistical parameter estimates on a data set cleaned with the DQ framework and data set not cleaned with the DQ framework. Background: The use of data contained within electronic health records (EHRs) has the potential to open doors for a new wave of innovative research. Without adequate preparation of such large data sets for analysis, the results might be erroneous, which might affect clinical decision-making or the results of Comparative Effectives Research studies. Methods: Two emergency department (ED) data sets extracted from EPIC databases (adult ED and children ED) were used as examples for examining the five concepts of DQ based on a DQ assessment framework designed for EHR databases. The first data set contained 70,061 visits; and the second data set contained 2,815,550 visits. SPSS Syntax examples as well as step-by-step instructions of how to apply the five key DQ concepts these EHR database extracts are provided. Conclusions: SPSS Syntax to address each of the DQ concepts proposed by Kahn et al. (2012)1 was developed. The data set cleaned using Kahn’s framework yielded more accurate results than the data set cleaned without this framework. Future plans involve creating functions in R language for cleaning data extracted from the EHR as well as an R package that combines DQ checks with missing data analysis functions. PMID:27429992

Ecological risk assessment framework for low-altitude aircraft overflights: II. Estimating effects on wildlife.

PubMed

Efroymson, R A; Suter, G W

2001-04-01

An ecological risk assessment framework for aircraft overflights has been developed, with special emphasis on military applications. This article presents the analysis of effects and risk characterization phases; the problem formulation and exposure analysis phases are presented in a companion article. The framework addresses the effects of sound, visual stressors, and collision on the abundance and production of wildlife populations. Profiles of effects, including thresholds, are highlighted for two groups of endpoint species: ungulates (hoofed mammals) and pinnipeds (seals, sea lions, walruses). Several factors complicate the analysis of effects for aircraft overflights. Studies of the effects of aircraft overflights previously have not been associated with a quantitative assessment framework; therefore no consistent relations between exposure and population-level response have been developed. Information on behavioral effects of overflights by military aircraft (or component stressors) on most wildlife species is sparse. Moreover, models that relate behavioral changes to abundance or reproduction, and those that relate behavioral or hearing effects thresholds from one population to another are generally not available. The aggregation of sound frequencies, durations, and the view of the aircraft into the single exposure metric of slant distance is not always the best predictor of effects, but effects associated with more specific exposure metrics (e.g., narrow sound spectra) may not be easily determined or added. The weight of evidence and uncertainty analyses of the risk characterization for overflights are also discussed in this article.

A system-wide analysis using a senior-friendly hospital framework identifies current practices and opportunities for improvement in the care of hospitalized older adults.

PubMed

Wong, Ken S; Ryan, David P; Liu, Barbara A

2014-11-01

Older adults are vulnerable to hospital-associated complications such as falls, pressure ulcers, functional decline, and delirium, which can contribute to prolonged hospital stay, readmission, and nursing home placement. These vulnerabilities are exacerbated when the hospital's practices, services, and physical environment are not sufficiently mindful of the complex, multidimensional needs of frail individuals. Several frameworks have emerged to help hospitals examine how organization-wide processes can be customized to avoid these complications. This article describes the application of one such framework-the Senior-Friendly Hospital (SFH) framework adopted in Ontario, Canada-which comprises five interrelated domains: organizational support, processes of care, emotional and behavioral environment, ethics in clinical care and research, and physical environment. This framework provided the blueprint for a self-assessment of all 155 adult hospitals across the province of Ontario. The system-wide analysis identified practice gaps and promising practices within each domain of the SFH framework. Taken together, these results informed 12 recommendations to support hospitals at all stages of development in becoming friendly to older adults. Priorities for system-wide action were identified, encouraging hospitals to implement or further develop their processes to better address hospital-acquired delirium and functional decline. These recommendations led to collaborative action across the province, including the development of an online toolkit and the identification of accountability indicators to support hospitals in quality improvement focusing on senior-friendly care. © 2014, Copyright the Authors Journal compilation © 2014, The American Geriatrics Society.

Modular modelling with Physiome standards

PubMed Central

Nickerson, David P.; Nielsen, Poul M. F.; Hunter, Peter J.

2016-01-01

Key points The complexity of computational models is increasing, supported by research in modelling tools and frameworks. But relatively little thought has gone into design principles for complex models.We propose a set of design principles for complex model construction with the Physiome standard modelling protocol CellML.By following the principles, models are generated that are extensible and are themselves suitable for reuse in larger models of increasing complexity.We illustrate these principles with examples including an architectural prototype linking, for the first time, electrophysiology, thermodynamically compliant metabolism, signal transduction, gene regulation and synthetic biology.The design principles complement other Physiome research projects, facilitating the application of virtual experiment protocols and model analysis techniques to assist the modelling community in creating libraries of composable, characterised and simulatable quantitative descriptions of physiology. Abstract The ability to produce and customise complex computational models has great potential to have a positive impact on human health. As the field develops towards whole‐cell models and linking such models in multi‐scale frameworks to encompass tissue, organ, or organism levels, reuse of previous modelling efforts will become increasingly necessary. Any modelling group wishing to reuse existing computational models as modules for their own work faces many challenges in the context of construction, storage, retrieval, documentation and analysis of such modules. Physiome standards, frameworks and tools seek to address several of these challenges, especially for models expressed in the modular protocol CellML. Aside from providing a general ability to produce modules, there has been relatively little research work on architectural principles of CellML models that will enable reuse at larger scales. To complement and support the existing tools and frameworks, we develop a set of principles to address this consideration. The principles are illustrated with examples that couple electrophysiology, signalling, metabolism, gene regulation and synthetic biology, together forming an architectural prototype for whole‐cell modelling (including human intervention) in CellML. Such models illustrate how testable units of quantitative biophysical simulation can be constructed. Finally, future relationships between modular models so constructed and Physiome frameworks and tools are discussed, with particular reference to how such frameworks and tools can in turn be extended to complement and gain more benefit from the results of applying the principles. PMID:27353233

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

Goodman, Julie, E-mail: jgoodman@gradientcorp.com

Background: The International Agency for Research on Cancer (IARC) recently developed a framework for evaluating mechanistic evidence that includes a list of 10 key characteristics of carcinogens. This framework is useful for identifying and organizing large bodies of literature on carcinogenic mechanisms, but it lacks sufficient guidance for conducting evaluations that fully integrate mechanistic evidence into hazard assessments. Objectives: We summarize the framework, and suggest approaches to strengthen the evaluation of mechanistic evidence using this framework. Discussion: While the framework is useful for organizing mechanistic evidence, its lack of guidance for implementation limits its utility for understanding human carcinogenic potential.more » Specifically, it does not include explicit guidance for evaluating the biological significance of mechanistic endpoints, inter- and intra-individual variability, or study quality and relevance. It also does not explicitly address how mechanistic evidence should be integrated with other realms of evidence. Because mechanistic evidence is critical to understanding human cancer hazards, we recommend that IARC develop transparent and systematic guidelines for the use of this framework so that mechanistic evidence will be evaluated and integrated in a robust manner, and concurrently with other realms of evidence, to reach a final human cancer hazard conclusion. Conclusions: IARC does not currently provide a standardized approach to evaluating mechanistic evidence. Incorporating the recommendations discussed here will make IARC analyses of mechanistic evidence more transparent, and lead to assessments of cancer hazards that reflect the weight of the scientific evidence and allow for scientifically defensible decision-making. - Highlights: • IARC has a revised framework for evaluating literature on carcinogenic mechanisms. • The framework is based on 10 key characteristics of carcinogens. • IARC should develop transparent and systematic guidelines for using the framework. • It should better address biological significance, study quality, and relevance. • It should better address integrating mechanistic evidence with other evidence.« less

Portraits of self-organization in fish schools interacting with robots

NASA Astrophysics Data System (ADS)

Aureli, M.; Fiorilli, F.; Porfiri, M.

2012-05-01

In this paper, we propose an enabling computational and theoretical framework for the analysis of experimental instances of collective behavior in response to external stimuli. In particular, this work addresses the characterization of aggregation and interaction phenomena in robot-animal groups through the exemplary analysis of fish schooling in the vicinity of a biomimetic robot. We adapt global observables from statistical mechanics to capture the main features of the shoal collective motion and its response to the robot from experimental observations. We investigate the shoal behavior by using a diffusion mapping analysis performed on these global observables that also informs the definition of relevant portraits of self-organization.

Defense Acquisition Research Journal. Volume 21, Number 1, Issue 68

DTIC Science & Technology

2014-01-01

Harrison’s game theory model of competition examines the bidding behavior of two equal competitors, but it does not address character- istics that...analysis examines a series of outcomes in both competitive and sole-source acquisition programs, using a statistical model that builds on a game theory ...model- ing, within a game theory framework developed by Todd Harrison, to show that the DoD may actually incur increased costs from competi- tion

People Crossing Borders: An Analysis of U.S. Border Protection Policies

DTIC Science & Technology

2010-05-13

evaluate the policies that have been pursued in providing border protection, especially as these policies might impact other elements of the U.S. border...evaluate the impact of the current framework. Lastly, this report offers some policy options—both short-term and long-term—for addressing the...to account for the commercial consequences of ever-climbing levels of security at the U.S. border. In the end, balancing the economic impact of

Computational Framework for Analysis of Prey–Prey Associations in Interaction Proteomics Identifies Novel Human Protein–Protein Interactions and Networks

PubMed Central

Saha, Sudipto; Dazard, Jean-Eudes; Xu, Hua; Ewing, Rob M.

2013-01-01

Large-scale protein–protein interaction data sets have been generated for several species including yeast and human and have enabled the identification, quantification, and prediction of cellular molecular networks. Affinity purification-mass spectrometry (AP-MS) is the preeminent methodology for large-scale analysis of protein complexes, performed by immunopurifying a specific “bait” protein and its associated “prey” proteins. The analysis and interpretation of AP-MS data sets is, however, not straightforward. In addition, although yeast AP-MS data sets are relatively comprehensive, current human AP-MS data sets only sparsely cover the human interactome. Here we develop a framework for analysis of AP-MS data sets that addresses the issues of noise, missing data, and sparsity of coverage in the context of a current, real world human AP-MS data set. Our goal is to extend and increase the density of the known human interactome by integrating bait–prey and cocomplexed preys (prey–prey associations) into networks. Our framework incorporates a score for each identified protein, as well as elements of signal processing to improve the confidence of identified protein–protein interactions. We identify many protein networks enriched in known biological processes and functions. In addition, we show that integrated bait–prey and prey–prey interactions can be used to refine network topology and extend known protein networks. PMID:22845868

A human-oriented framework for developing assistive service robots.

PubMed

McGinn, Conor; Cullinan, Michael F; Culleton, Mark; Kelly, Kevin

2018-04-01

Multipurpose robots that can perform a range of useful tasks have the potential to increase the quality of life for many people living with disabilities. Owing to factors such as high system complexity, as-yet unresolved research questions and current technology limitations, there is a need for effective strategies to coordinate the development process. Integrating established methodologies based on human-centred design and universal design, a framework was formulated to coordinate the robot design process over successive iterations of prototype development. An account is given of how the framework was practically applied to the problem of developing a personal service robot. Application of the framework led to the formation of several design goals which addressed a wide range of identified user needs. The resultant prototype solution, which consisted of several component elements, succeeded in demonstrating the performance stipulated by all of the proposed metrics. Application of the framework resulted in the development of a complex prototype that addressed many aspects of the functional and usability requirements of a personal service robot. Following the process led to several important insights which directly benefit the development of subsequent prototypes. Implications for Rehabilitation This research shows how universal design might be used to formulate usability requirements for assistive service robots. A framework is presented that guides the process of designing service robots in a human-centred way. Through practical application of the framework, a prototype robot system that addressed a range of identified user needs was developed.

Enabling appropriate personnel skill-mix for progressive realization of equitable access to assistive technology.

PubMed

Smith, Emma M; Gowran, Rosemary Joan; Mannan, Hasheem; Donnelly, Brian; Alvarez, Liliana; Bell, Diane; Contepomi, Silvana; Ennion Wegner, Liezel; Hoogerwerf, Evert-Jan; Howe, Tracey; Jan, Yih-Kuen; Kagwiza, Jeanne; Layton, Natasha; Ledgerd, Ritchard; MacLachlan, Malcolm; Oggero, Giulia; Pettersson, Cecilia; Pousada, Thais; Scheffler, Elsje; Wu, Sam

2018-05-17

This paper reviews the current capacity of personnel in enabling access to assistive technology (AT) as well as the systems and processes within which they work, and was reviewed, discussed, and refined during and following the Global Research, Innovation, and Education in Assistive Technology (GREAT) Summit. Key concepts addressed include a person-centred team approach; sustainability indicators to monitor, measure, and respond to needs for service design and delivery; education, research, and training for competent practice, using the six rehab-workforce challenges framework; and credentialing frameworks. We propose development of a competence framework and associated education and training programs, and development and implementation of a certification framework for AT personnel. There is a resolve to address the challenges faced by People globally to access assistive technology. Context specific needs assessment is required to understand the AT Personnel landscape, to shape and strengthen credentialing frameworks through competencies and certification, acknowledging both general and specific skill mix requirements. Implications for Rehabilitation Personnel in assistive technology (AT) provision should be trained using a person-centred team approach, which emphasizes appropriate skill-mix to address multiple needs within the community. Sustainability indicators should be used which allow personnel to monitor, measure and respond to needs for service design and delivery. A competence framework with associated education and training program, coupled with the development and implementation of a certification framework for AT personnel needs, will promote quality in AT personnel training globally.

FEAST fundamental framework for electronic structure calculations: Reformulation and solution of the muffin-tin problem

NASA Astrophysics Data System (ADS)

Levin, Alan R.; Zhang, Deyin; Polizzi, Eric

2012-11-01

In a recent article Polizzi (2009) [15], the FEAST algorithm has been presented as a general purpose eigenvalue solver which is ideally suited for addressing the numerical challenges in electronic structure calculations. Here, FEAST is presented beyond the “black-box” solver as a fundamental modeling framework which can naturally address the original numerical complexity of the electronic structure problem as formulated by Slater in 1937 [3]. The non-linear eigenvalue problem arising from the muffin-tin decomposition of the real-space domain is first derived and then reformulated to be solved exactly within the FEAST framework. This new framework is presented as a fundamental and practical solution for performing both accurate and scalable electronic structure calculations, bypassing the various issues of using traditional approaches such as linearization and pseudopotential techniques. A finite element implementation of this FEAST framework along with simulation results for various molecular systems is also presented and discussed.

LGBTQ relationally based positive psychology: An inclusive and systemic framework.

PubMed

Domínguez, Daniela G; Bobele, Monte; Coppock, Jacqueline; Peña, Ezequiel

2015-05-01

Positive psychologists have contributed to our understandings of how positive emotions and flexible cognition enhance resiliency. However, positive psychologists' research has been slow to address the relational resources and interactions that help nonheterosexual families overcome adversity. Addressing overlooked lesbian, gay, bisexual, transgender, or queer (LGBTQ) and systemic factors in positive psychology, this article draws on family resilience literature and LGBTQ literature to theorize a systemic positive psychology framework for working with nonheterosexual families. We developed the LGBTQ relationally based positive psychology framework that integrates positive psychology's strengths-based perspective with the systemic orientation of Walsh's (1996) family resilience framework along with the cultural considerations proposed by LGBTQ family literature. We theorize that the LGBTQ relationally based positive psychology framework takes into consideration the sociopolitical adversities impacting nonheterosexual families and sensitizes positive psychologists, including those working in organized care settings, to the systemic interactions of same-sex loving relationships. (c) 2015 APA, all rights reserved).

Adapting Maslow's Hierarchy of Needs as a Framework for Resident Wellness.

PubMed

Hale, Andrew J; Ricotta, Daniel N; Freed, Jason; Smith, C Christopher; Huang, Grace C

2018-04-30

Burnout in graduate medical education is pervasive and has a deleterious impact on career satisfaction, personal well-being, and patient outcomes. Interventions in residency programs have often addressed isolated contributors to burnout; however, a more comprehensive framework for conceptualizing wellness is needed. In this article the authors propose Maslow's hierarchy of human needs (physiologic, safety, love/belonging, esteem, and self-actualization) as a potential framework for addressing wellness initiatives. There are numerous contributors to burnout among physician-trainees, and programs to combat burnout must be equally multifaceted. A holistic approach, considering both the trainees personal and professional needs, is recommended. Maslow's Needs can be adapted to create such a framework in graduate medical education. The authors review current evidence to support this model. This work surveys current interventions to mitigate burnout and organizes them into a scaffold that can be used by residency programs interested in a complete framework to supporting wellness.

Do therapists address gender and power in infidelity? A feminist analysis of the treatment literature.

PubMed

Williams, Kirstee; Knudson-Martin, Carmen

2013-07-01

Sociocontextual factors such as gender and power play an important role in the etiology of affairs and in recovery from them, yet it is unclear how current treatment models address these issues. Drawing on feminist epistemology, this study utilized a grounded theory analysis of 29 scholarly articles and books on infidelity treatment published between 2000 and 2010 to identify the circumstances under which gender and power issues were or were not part of treatment. We found five conditions that limit attention to gender and power: (a) speaking (or assuming) as though partners are equal, (b) reframing infidelity as a relationship problem, (c) limiting discussion of societal context to background, (d) not considering how societal gender and power patterns impact relationship dynamics, and (e) limiting discussion of ethics on how to position around infidelity. Analysis explored how each occurred across three phases of couple therapy. The findings provide a useful foundation for a sociocontextual framework for infidelity treatment. © 2012 American Association for Marriage and Family Therapy.

Human factors paradigm and customer care perceptions.

PubMed

Clarke, Colin; Eales-Reynolds, Lesley-Jane

2015-01-01

The purpose of this paper is to examine if customer care (CC) can be directly linked to patient safety through a human factors (HF) framework. Data from an online questionnaire, completed by a convenience healthcare worker sample (n=373), was interrogated using thematic analysis within Vincent et al.'s (1998) HF theoretical framework. This proposes seven areas affecting patient safety: institutional context, organisation and management, work environment, team factors, individual, task and patient. Analysis identified responses addressing all framework areas. Responses (597) principally focused on work environment 40.7 per cent (n=243), organisation and management 28.8 per cent (n=172). Nevertheless, reference to other framework areas were clearly visible within the data: teams 10.2 per cent (n=61), individual 6.7 per cent (n=40), patients 6.0 per cent (n=36), tasks 4.2 per cent (n=24) and institution 3.5 per cent (n=21). Findings demonstrate congruence between CC perceptions and patient safety within a HF framework. The questionnaire requested participants to identify barriers to rather than CC enablers. Although this was at a single site complex organisation, it was similar to those throughout the NHS and other international health systems. CC can be viewed as consonant with patient safety rather than the potentially dangerous consumerisation stance, which could ultimately compromise patient safety. This work provides an original perspective on the link between CC and patient safety and has the potential to re-focus healthcare perceptions.

A framework for the monitoring and evaluation of international surgical initiatives in low- and middle-income countries.

PubMed

Ibrahim, George M; Cadotte, David W; Bernstein, Mark

2015-01-01

An estimated two billion people worldwide lack adequate access to surgical care. To address this humanitarian emergency, an increasing number of international surgical partnerships are emerging between developed and low- and middle-income countries (LMICs). At present, there are no clear indicators that may be used to assess the effectiveness of such initiatives. We conducted an international qualitative study of 31 surgeons from developed and LMICs involved in international partnerships across a variety of subspecialties. Thematic analysis and grounded theory were applied in order to develop a practical framework that may be applied to monitor and evaluate global surgical initiatives. Several themes emerged from the study: (i) there is a large unmet need to establish and maintain prospective databases in LMICs to inform the monitoring and evaluation of international surgical partnerships; (ii) assessment of initiatives must occur longitudinally over the span of several years; (ii) the domains of assessment are contextual and encompass cultural, institutional and regional factors; and (iv) evaluation strategies should explore broader impact within the community and country. Based on thematic analysis within the domains of inputs, outputs and outcomes, a framework for the monitoring and evaluation of international surgical initiatives, the Framework for the Assessment of InteRNational Surgical Success (FAIRNeSS) is proposed. In response to the increasing number of surgical partnerships between developed and LMICs, we propose a framework to monitor and evaluate international surgical initiatives.

Genetically modified organisms: an analysis of the regulatory framework currently employed within the European Union.

PubMed

Gent, R N

1999-09-01

Genetic engineering technology is starting to bring many commercial products to the market. These genetically modified organisms (GMOs) and their derived products are subject to topical debate as to their benefits and risks. The strengths and weaknesses of the regulatory framework that controls their development and application is central to the question of whether this technology poses significant risk to the public health during this critical phase of its evolution. A critical review was carried out of the legal framework regulating the contained use, deliberate release and some aspects of consumer protection relevant to the control of GMOs in Europe and the United Kingdom. The current legal framework is failing to provide a speed of adaptation commensurate with the development of the science of genetic engineering; failing to properly respond to democratic control; failing to resolve significant conflict between the protection of free markets and protection of public health and the environment; and failing to implement obligations on biodiversity. The present legal framework must be replaced. Current European Union proposals for new standards of regulation are welcome, but provide only for further incremental change, and do not address some significant fundamental flaws in our current laws.

Educational Outcomes Associated With School Behavioral Health Interventions: A Review of the Literature.

PubMed

Kase, Courtney; Hoover, Sharon; Boyd, Gina; West, Kristina D; Dubenitz, Joel; Trivedi, Pamala A; Peterson, Hilary J; Stein, Bradley D

2017-07-01

There is an unmet need for behavioral health support and services among children and adolescents, which school behavioral health has the potential to address. Existing reviews and meta-analyses document the behavioral health benefits of school behavioral health programs and frameworks, but few summaries of the academic benefits of such programs exist. We provide exemplars of the academic benefits of school behavioral health programs and frameworks. A literature review identified school behavioral health-related articles and reports. Articles for inclusion were restricted to those that were school-based programs and frameworks in the United States that included an empirical evaluation of intervention academic-related outcomes. Findings from 36 primary research, review, and meta-analysis articles from the past 17 years show the benefits of school behavioral health clinical interventions and targeted interventions on a range of academic outcomes for adolescents. Our findings are consistent with reports documenting health benefits of school behavioral health frameworks and programs and can facilitate further efforts to support school behavioral health for a range of stakeholders interested in the benefits of school behavioral health programs and frameworks on academic outcomes. © 2017, American School Health Association.

Developing a competency framework for academic physicians.

PubMed

Daouk-Öyry, Lina; Zaatari, Ghazi; Sahakian, Tina; Rahal Alameh, Boushra; Mansour, Nabil

2017-03-01

There is a mismatch between the requirements of the multifaceted role of academic physicians and their education. Medical institutions use faculty development initiatives to support their junior academic physicians, however, these rarely revolve around academic physician competencies. The aim of this study was to identify these academic physician competencies and develop a competency framework customized to an organizational context. The authors conducted semi-structured interviews and Critical Incident Technique with 25 academic physicians at a teaching medical center in the Middle East region inquiring about the behaviors of academic physicians in teaching, clinical, research, and administrative roles. Using content analysis, the authors identified 16 competencies: five "Supporting Competencies", common to all four roles of academic physicians, and 11 "Function-Specific Competencies", specific to the role being fulfilled. The developed framework shared similarities with frameworks reported in the literature but also had some distinctions. The framework developed represents a step towards closing the gap between the skills medical students are taught and the skills required of academic physicians. The model was customized to the context of the current organization and included a future orientation and addressed the literature calling for increasing focus on the administrative skills of academic physicians.

A framework for the implementation of new radiation therapy technologies and treatment techniques in low-income countries.

PubMed

Brown, Derek W; Shulman, Adam; Hudson, Alana; Smith, Wendy; Fisher, Brandon; Hollon, Jon; Pipman, Yakov; Van Dyk, Jacob; Einck, John

2014-11-01

We present a practical, generic, easy-to-use framework for the implementation of new radiation therapy technologies and treatment techniques in low-income countries. The framework is intended to standardize the implementation process, reduce the effort involved in generating an implementation strategy, and provide improved patient safety by reducing the likelihood that steps are missed during the implementation process. The 10 steps in the framework provide a practical approach to implementation. The steps are, 1) Site and resource assessment, 2) Evaluation of equipment and funding, 3) Establishing timelines, 4) Defining the treatment process, 5) Equipment commissioning, 6) Training and competency assessment, 7) Prospective risk analysis, 8) System testing, 9) External dosimetric audit and incident learning, and 10) Support and follow-up. For each step, practical advice for completing the step is provided, as well as links to helpful supplementary material. An associated checklist is provided that can be used to track progress through the steps in the framework. While the emphasis of this paper is on addressing the needs of low-income countries, the concepts also apply in high-income countries. Copyright © 2014 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Computational Model for Ethnographically Informed Systems Design

NASA Astrophysics Data System (ADS)

Iqbal, Rahat; James, Anne; Shah, Nazaraf; Terken, Jacuqes

This paper presents a computational model for ethnographically informed systems design that can support complex and distributed cooperative activities. This model is based on an ethnographic framework consisting of three important dimensions (e.g., distributed coordination, awareness of work and plans and procedure), and the BDI (Belief, Desire and Intention) model of intelligent agents. The ethnographic framework is used to conduct ethnographic analysis and to organise ethnographically driven information into three dimensions, whereas the BDI model allows such information to be mapped upon the underlying concepts of multi-agent systems. The advantage of this model is that it is built upon an adaptation of existing mature and well-understood techniques. By the use of this model, we also address the cognitive aspects of systems design.

Abiotic/biotic coupling in the rhizosphere: a reactive transport modeling analysis

USGS Publications Warehouse

Lawrence, Corey R.; Steefel, Carl; Maher, Kate

2014-01-01

A new generation of models is needed to adequately simulate patterns of soil biogeochemical cycling in response changing global environmental drivers. For example, predicting the influence of climate change on soil organic matter storage and stability requires models capable of addressing complex biotic/abiotic interactions of rhizosphere and weathering processes. Reactive transport modeling provides a powerful framework simulating these interactions and the resulting influence on soil physical and chemical characteristics. Incorporation of organic reactions in an existing reactive transport model framework has yielded novel insights into soil weathering and development but much more work is required to adequately capture root and microbial dynamics in the rhizosphere. This endeavor provides many advantages over traditional soil biogeochemical models but also many challenges.

Trialing the Community-Based Collaborative Action Research Framework: Supporting Rural Health Through a Community Health Needs Assessment.

PubMed

Van Gelderen, Stacey A; Krumwiede, Kelly A; Krumwiede, Norma K; Fenske, Candace

2018-01-01

To describe the application of the Community-Based Collaborative Action Research (CBCAR) framework to uplift rural community voices while conducting a community health needs assessment (CHNA) by formulating a partnership between a critical access hospital, public health agency, school of nursing, and community members to improve societal health of this rural community. This prospective explorative study used the CBCAR framework in the design, collection, and analysis of the data. The framework phases include: Partnership, dialogue, pattern recognition, dialogue on meaning of pattern, insight into action, and reflecting on evolving pattern. Hospital and public health agency leaders learned how to use the CBCAR framework when conducting a CHNA to meet Affordable Care Act federal requirements. Closing the community engagement gap helped ensure all voices were heard, maximized intellectual capital, synergized efforts, improved communication by establishing trust, aligned resources with initiatives, and diminished power struggles regarding rural health. The CBCAR framework facilitated community engagement and promoted critical dialogue where community voices were heard. A sustainable community-based collaborative was formed. The project increased the critical access hospital's capacity to conduct a CHNA. The collaborative's decision-making capacity was challenged and ultimately strengthened as efforts continue to be made to address rural health.

A Framework for Assessing Health Risk of Environmental ...

EPA Pesticide Factsheets

EPA released the final report entitled, A Framework for Assessing Health Risk of Environmental Exposures to Children, which examines the impact of potential exposures during developmental lifestages and subsequent lifestages, while emphasizing the iterative nature of the analysis phase with a multidisciplinary team. Major findings and conclusions: This report outlines the framework in which mode of action(s) (MOA) can be considered across life stages. The framework is based upon existing approaches adopted in the Framework on Cumulative Risk Assessment and identifies existing guidance, guidelines and policy papers that relate to children's health risk assessment. It emphasizes the importance of an iterative approach between hazard, dose response, and exposure analyses. In addition, it includes discussion of principles for weight of evidence consideration across life stages for the hazard characterization database.Key science/assessment issues:This framework addresses the questions of why and how an improved children's health risk assessment will strengthen the overall risk assessment process across the Agency. This approach improves the scientific explanation of children's risk and will add value by: 1) providing for a more complete evaluation of the potential for vulnerability at different life stages, including a focus on the underlying biological events and critical developmental periods for incorporating MOA considerations; 2) evaluating of the potential fo

After the Gap Analysis: Education and Practice Changes to Prepare Nurses of the Future.

PubMed

Beauvais, Audrey Marie; Kazer, Meredith Wallace; Aronson, Barbara; Conlon, Suzanne E; Forte, Pamela; Fries, Kathleen S; Hahn, Judith M; Hullstrung, Russell; Levvis, Meg; McCauley, Paula; Morgan, Patricia Padula; Perfetto, Linda; Rebeschi, Lisa M; Solernou, Sheila B; Span, Patricia; Sundean, Lisa J

The purpose of the study was to describe the Connecticut Nursing Collaborative-Action Coalition's work in identifying and addressing gaps between nursing education and practice based on the Institute of Medicine's Future of Nursing report. Massachusetts Nurse of the Future (NOF) Competencies highlight the knowledge, skills, and attitudes/behaviors required for professional nurses. Integrating these concepts into the educational system will prepare the nursing workforce to respond to current/future health care needs and population health issues. Education and practice partners in four regions conducted a gap analysis of the education to practice transition for new graduate nurses using NOF as a framework for assessment. Gaps in competencies were similar across regions. However, each organization uniquely addressed curricular gaps to best prepare nurses of the future. Curriculum improvements will provide students the advantage of being prepared for the rapid changes happening in health care.

A Reporting System to Protect the Human Rights of People Living with HIV and Key Populations.

PubMed

Williamson, R Taylor; Fiscian, Vivian; Olson, Ryan Ubuntu; Poku, Fred Nana; Whittal, Joseph

2017-12-01

People living with HIV and key populations face human rights violations that affect their access to health services, relationships in their communities, housing options, and employment. To address these violations, government and civil society organizations in Ghana developed a discrimination reporting system managed by the Commission on Human Rights and Administrative Justice that links people living with HIV and key populations to legal services. This article presents findings on how Ghanaian stakeholders built this reporting system and discusses preliminary data on its impact. To organize our analysis, we used a conceptual framework that outlines the legal frameworks that protect human rights, the institutions that promote access to justice, and the mechanisms that link people living with HIV and key populations to legal services. Using in-depth interviews, we show that targeted technical assistance increased stakeholders' knowledge of issues that affect people living with HIV and key populations, strengthened these stakeholders' commitment to address discrimination, streamlined case management systems, and improved relationships between civil society and the government. Through case review, we find that most discrimination happens when accessing government services, inside communities and families, and in the workplace. Finally, we describe implications for other human rights commissions that are considering using a reporting system to protect human rights, including using legal frameworks, developing case management systems, and working with civil society.

Toward a Framework for Translational Research in School Psychology

ERIC Educational Resources Information Center

Edwards, Oliver W.

2017-01-01

This article addresses a translational research framework for school psychology. Translational research uses outcomes of basic and applied science to enhance the overall well-being of persons. This transdisciplinary framework connects disciplines and uses their resources, capacities, systems, and procedures to advance prevention, intervention, and…

Seeking Social Justice in the ACRL Framework

ERIC Educational Resources Information Center

Battista, Andrew; Ellenwood, Dave; Gregory, Lua; Higgins, Shana; Lilburn, Jeff; Harker, Yasmin Sokkar; Sweet, Christopher

2015-01-01

The scope of this article is to address the possibilities and challenges librarians concerned with social justice may face when working with the ACRL "Framework." While the "Framework" recognizes that information emerges from varied contexts that reflect uneven distributions of power, privilege, and authority, it is missing a…

CEOS WGISS Common Data Framework for WGISS Connected Data Assets

NASA Technical Reports Server (NTRS)

Enloe, Yonsook; Mitchell, Andrew; Albani, Mirko; Yapur, Martin

2016-01-01

This session will explore the benefits of having such a policy framework and future steps both domestically and internationally. Speakers can highlight current work being done to improve data interoperability, how the Common Framework is relevant for other data types, other countries and multinational organizations, and considerations for data management that have yet to be addressed in the Common Framework.

How desertification research is addressed in Argentina? Land versus Soil approaches

NASA Astrophysics Data System (ADS)

Torres, Laura; Abraham, Elena M.; Barbero, Celia; Marques, Maria J.; Ruiz, Manuel; Escadafal, Richard; Exbrayat, Williams

2013-04-01

Recommendations are not enough to solve problems of desertification. In certain areas, soil degradation and poverty establish a vicious circle that may be broken if political, social, economic and natural visions are considered as a whole. Nevertheless, usually the scientific framework to combat land degradation is only associated with the protection of natural resources - the "soil approach"-, and weak attention is paid on the social sciences - the "land approach". The success in the adoption of mitigation measures to combat dryland degradation depends on the dialogue between research institutes, policy makers, land users and funding agencies. The structure of desertification research and its implementation in Argentina is addressed in this study. It is one part of a wider framework of analysis that is simultaneously carried out in other different regions under the umbrella of a Task Force on Land and Soil promoted by DesertNet International. The ultimate goal of this Task Force is the achievement of an informed analysis to support the need of a scientific panel to answer the needs of the United Nations Convention to Combat Desertification. The features and orientation of such a panel to be truly effective may be established from the results of the analysis of the different ways to meet the challenge of combating desertification in different regions of the world and their success or failure. The method is based on the analysis of scientific journals indexed in the Web of Science using different searching criteria with different groups of keywords. The analysis of papers addresses three main criteria: the disciplines involved, the type of study and finally the range of the study in order to know the level of applicability. In order to compute and visualise clusters of elements bibliometric methods will be used. Positive signs have been recognised in Argentina in recent years trough the increase of governmental and non governmental organisation that are involved in the adoption of measures to solve natural and social issues. This paper seeks to examine the current structure of the research conducted in the area to acknowledge the results of these changes.

Framework for Derivation of Water Quality Criteria Using the Biotic Ligand Model: Copper as a Case Study.

PubMed

Gondek, John C; Gensemer, Robert W; Claytor, Carrie A; Canton, Steven P; Gorsuch, Joseph W

2018-06-01

Acceptance of the Biotic Ligand Model (BLM) to derive aquatic life criteria, for metals in general and copper in particular, is growing amongst regulatory agencies worldwide. Thus, it is important to ensure that water quality data are used appropriately and consistently in deriving such criteria. Here we present a suggested BLM implementation framework (hereafter referred to as "the Framework") to help guide the decision-making process when designing sampling and analysis programs for use of the BLM to derive water quality criteria applied on a site-specific basis. Such a framework will help inform stakeholders on the requirements needed to derive BLM-based criteria, and thus, ensure the appropriate types and amount of data are being collected and interpreted. The Framework was developed for calculating BLM-based criteria when data are available from multiple sampling locations on a stream. The Framework aspires to promote consistency when applying the BLM across datasets of disparate water quality, data quantity, and spatial and temporal representativeness, and is meant to be flexible to maximize applicability over a wide range of scenarios. Therefore, the Framework allows for a certain level of interpretation and adjustment to address the issues unique to each dataset. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Framework for Identifying Key Environmental Concerns in Marine Renewable Energy Projects- Appendices

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

Kramer, Sharon; Previsic, Mirko; Nelson, Peter

2010-06-17

Marine wave and tidal energy technology could interact with marine resources in ways that are not well understood. As wave and tidal energy conversion projects are planned, tested, and deployed, a wide range of stakeholders will be engaged; these include developers, state and federal regulatory agencies, environmental groups, tribal governments, recreational and commercial fishermen, and local communities. Identifying stakeholders’ environmental concerns in the early stages of the industry’s development will help developers address and minimize potential environmental effects. Identifying important concerns will also assist with streamlining siting and associated permitting processes, which are considered key hurdles by the industry inmore » the U.S. today. In September 2008, RE Vision consulting, LLC was selected by the Department of Energy (DoE) to conduct a scenario-based evaluation of emerging hydrokinetic technologies. The purpose of this evaluation is to identify and characterize environmental impacts that are likely to occur, demonstrate a process for analyzing these impacts, identify the “key” environmental concerns for each scenario, identify areas of uncertainty, and describe studies that could address that uncertainty. This process is intended to provide an objective and transparent tool to assist in decision-making for siting and selection of technology for wave and tidal energy development. RE Vision worked with H. T. Harvey & Associates, to develop a framework for identifying key environmental concerns with marine renewable technology. This report describes the results of this study. This framework was applied to varying wave and tidal power conversion technologies, scales, and locations. The following wave and tidal energy scenarios were considered: 4 wave energy generation technologies 3 tidal energy generation technologies 3 sites: Humboldt coast, California (wave); Makapu’u Point, Oahu, Hawaii (wave); and the Tacoma Narrows, Washington (tidal) 3 project sizes: pilot, small commercial, and large commercial The possible combinations total 24 wave technology scenarios and 9 tidal technology scenarios. We evaluated 3 of the 33 scenarios in detail: 1. A small commercial OPT Power Buoy project off the Humboldt County, California coast 2. A small commercial Pelamis Wave Power P-2 project off Makapu’u Point, Oahu, Hawaii 3. A pilot MCT SeaGen tidal project, sited in the Tacoma Narrows, Washington. This framework document used information available from permitting documents that were written to support actual wave or tidal energy projects, but the results obtained here should not be confused with those of the permitting documents1. The main difference between this framework document and permitting documents of currently proposed pilot projects is that this framework identifies key environmental concerns and describes the next steps in addressing those concerns; permitting documents must identify effects, find or declare thresholds of significance, evaluate the effects against the thresholds, and find mitigation measures that will minimize or avoid the effects so they can be considered less-than-significant. Two methodologies, 1) an environmental effects analysis and 2) Raptools, were developed and tested to identify potential environmental effects associated with wave or tidal energy conversion projects. For the environmental effects analysis, we developed a framework based on standard risk assessment techniques. The framework was applied to the three scenarios listed above. The environmental effects analysis addressed questions such as: What is the temporal and spatial exposure of a species at a site? What are the specific potential project effects on that species? What measures could minimize, mitigate, or eliminate negative effects? Are there potential effects of the project, or species’ response to the effect, that are highly uncertain and warrant additional study? The second methodology, Raptools, is a collaborative approach useful for evaluating multiple characteristics of numerous siting or technology alternatives, and it allows us to graphically compare alternatives. We used Raptools to answer these questions: How do the scenarios compare, in terms of exposure, risks, and effects to the ecological and human environments? Are there sites that seem to present the fewest effects regardless of technology and scale? Which attributes account for many or much of the effects associated with wave or tidal energy development?« less

The Command and Control of the Grand Armee: Napoleon as Organizational Designer

DTIC Science & Technology

2009-06-01

AUTHOR(S) Norman L. Durham 5. FUNDING NUMBERS 7 . PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000...served as the framework for a highly effective command and control system. This command and control network allowed Napoleon to dominate a war with...within his organizational design was a vast information network that served as the framework for a highly effective command and control system. This

Moving the mental health equity dialogue forward: the promise of a social entrepreneur framework.

PubMed

Kidd, Sean A; McKenzie, Kwame J

2013-03-01

In this commentary the authors highlight the difficulties developed countries have had in generating effective means of addressing inequities in mental health. Limitations in research, policy, and service responses are discussed and the social entrepreneurship framework is suggested as a means of better understanding how mental health disparities might be addressed. The example of the Canadian Centre for Victims of Torture is provided to illustrate the points made.

Deterrence in the Human Domain: A COIN Framework to Deterring Unconventional Warfare in Shaping Operations

DTIC Science & Technology

2017-05-25

Wilkinson US Army School of Advanced Military Studies United States Army Command and General Staff College Fort Leavenworth, Kansas 2017 Approved for...SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) Advanced Military Studies Program 10. SPONSOR/MONITOR’S ACRONYM(S) 11. SPONSOR/MONITOR’S...adversary’s unconventional threat. To test this framework, this monograph analyzes a case study of how Russia will likely use unconventional forces and

A person-centered integrated care quality framework, based on a qualitative study of patients' evaluation of care in light of chronic care ideals.

PubMed

Berntsen, Gro; Høyem, Audhild; Lettrem, Idar; Ruland, Cornelia; Rumpsfeld, Markus; Gammon, Deede

2018-06-20

Person-Centered Integrated Care (PC-IC) is believed to improve outcomes and experience for persons with multiple long-term and complex conditions. No broad consensus exists regarding how to capture the patient-experienced quality of PC-IC. Most PC-IC evaluation tools focus on care events or care in general. Building on others' and our previous work, we outlined a 4-stage goal-oriented PC-IC process ideal: 1) Personalized goal setting 2) Care planning aligned with goals 3) Care delivery according to plan, and 4) Evaluation of goal attainment. We aimed to explore, apply, refine and operationalize this quality of care framework. This paper is a qualitative evaluative review of the individual Patient Pathways (iPP) experiences of 19 strategically chosen persons with multimorbidity in light of ideals for chronic care. The iPP includes all care events, addressing the persons collected health issues, organized by time. We constructed iPPs based on the electronic health record (from general practice, nursing services, and hospital) with patient follow-up interviews. The application of the framework and its refinement were parallel processes. Both were based on analysis of salient themes in the empirical material in light of the PC-IC process ideal and progressively more informed applications of themes and questions. The informants consistently reviewed care quality by how care supported/ threatened their long-term goals. Personal goals were either implicit or identified by "What matters to you?" Informants expected care to address their long-term goals and placed responsibility for care quality and delivery at the system level. The PC-IC process framework exposed system failure in identifying long-term goals, provision of shared long-term multimorbidity care plans, monitoring of care delivery and goal evaluation. The PC-IC framework includes descriptions of ideal care, key questions and literature references for each stage of the PC-IC process. This first version of a PC-IC process framework needs further validation in other settings. Gaps in care that are invisible with event-based quality of care frameworks become apparent when evaluated by a long-term goal-driven PC-IC process framework. The framework appears meaningful to persons with multimorbidity.

Modelling Spread of Oncolytic Viruses in Heterogeneous Cell Populations

NASA Astrophysics Data System (ADS)

Ellis, Michael; Dobrovolny, Hana

2014-03-01

One of the most promising areas in current cancer research and treatment is the use of viruses to attack cancer cells. A number of oncolytic viruses have been identified to date that possess the ability to destroy or neutralize cancer cells while inflicting minimal damage upon healthy cells. Formulation of predictive models that correctly describe the evolution of infected tumor systems is critical to the successful application of oncolytic virus therapy. A number of different models have been proposed for analysis of the oncolytic virus-infected tumor system, with approaches ranging from traditional coupled differential equations such as the Lotka-Volterra predator-prey models, to contemporary modeling frameworks based on neural networks and cellular automata. Existing models are focused on tumor cells and the effects of virus infection, and offer the potential for improvement by including effects upon normal cells. We have recently extended the traditional framework to a 2-cell model addressing the full cellular system including tumor cells, normal cells, and the impacts of viral infection upon both populations. Analysis of the new framework reveals complex interaction between the populations and potential inability to simultaneously eliminate the virus and tumor populations.

Mississippi Language Arts Framework with the Process of Instructional Intervention, 2000.

ERIC Educational Resources Information Center

Mississippi State Dept. of Education, Jackson.

This Language Arts Framework provides a description of what students should know and do in English, language arts, and reading classrooms, kindergarten through twelfth grade. The framework addresses the interrelatedness of reading, writing, speaking, listening, and viewing. The intent is to raise expectations for student performance, provide…

Translation Accommodations Framework for Testing English Language Learners in Mathematics

ERIC Educational Resources Information Center

Solano-Flores, Guillermo

2012-01-01

The present framework is developed under contract with the Smarter Balanced Assessment Consortium (SBAC) as a conceptual and methodological tool for guiding the reasonings and actions of contractors in charge of developing and providing test translation accommodations for English language learners. The framework addresses important challenges in…

Framework for Assessing Health Risk of Environmental Exposure to Children (External Review Draft)

EPA Science Inventory

The draft document, Framework For Assessing Health Risks of Environmental Exposure to Children, can serve as a resource on children's health risk assessment and it addresses the need to provide a comprehensive and consistent framework for considering children in risk asses...

Synergising Public Health Concepts with the Sendai Framework for Disaster Risk Reduction: A Conceptual Glossary

PubMed Central

Phibbs, Suzanne; Kenney, Christine; Severinsen, Christina; Mitchell, Jon; Hughes, Roger

2016-01-01

The Sendai Framework for Disaster Risk Reduction (2015) is a global strategy for addressing disaster risk and resilience that has been ratified by member countries of the United Nations. Its guiding principles emphasise building resilience through inter-sectoral collaboration, as well as partnerships that facilitate community empowerment and address underlying risk factors. Both public health and the emergency management sector face similar challenges related to developing and implementing strategies that involve structural change, facilitating community resilience and addressing individual risk factors. Familiarity with public health principles enables an understanding of the holistic approach to risk reduction that is outlined within the Sendai Framework. We present seven concepts that resonate with contemporary public health practice, namely: the social determinants of health; inequality and inequity; the inverse care law; community-based and community development approaches; hard to reach communities and services; the prevention paradox; and the inverse prevention law. These ideas from public health provide a useful conceptual base for the ”new” agenda in disaster risk management that underpins the 2015 Sendai Framework. The relevance of these ideas to disaster risk management and research is illustrated through drawing on the Sendai Framework, disaster literature and exemplars from the 2010–2011 earthquakes in Canterbury, New Zealand. PMID:27983666

Synergising Public Health Concepts with the Sendai Framework for Disaster Risk Reduction: A Conceptual Glossary.

PubMed

Phibbs, Suzanne; Kenney, Christine; Severinsen, Christina; Mitchell, Jon; Hughes, Roger

2016-12-14

The Sendai Framework for Disaster Risk Reduction (2015) is a global strategy for addressing disaster risk and resilience that has been ratified by member countries of the United Nations. Its guiding principles emphasise building resilience through inter-sectoral collaboration, as well as partnerships that facilitate community empowerment and address underlying risk factors. Both public health and the emergency management sector face similar challenges related to developing and implementing strategies that involve structural change, facilitating community resilience and addressing individual risk factors. Familiarity with public health principles enables an understanding of the holistic approach to risk reduction that is outlined within the Sendai Framework. We present seven concepts that resonate with contemporary public health practice, namely: the social determinants of health; inequality and inequity; the inverse care law; community-based and community development approaches; hard to reach communities and services; the prevention paradox; and the inverse prevention law. These ideas from public health provide a useful conceptual base for the "new" agenda in disaster risk management that underpins the 2015 Sendai Framework. The relevance of these ideas to disaster risk management and research is illustrated through drawing on the Sendai Framework, disaster literature and exemplars from the 2010-2011 earthquakes in Canterbury, New Zealand.

A social-ecological framework: A model for addressing ethical practice in nursing.

PubMed

Davidson, Patricia; Rushton, Cynda Hylton; Kurtz, Melissa; Wise, Brian; Jackson, Debra; Beaman, Adam; Broome, Marion

2018-03-01

To develop a framework to enable discussion, debate and the formulation of interventions to address ethical issues in nursing practice. Social, cultural, political and economic drivers are rapidly changing the landscape of health care in our local environments but also in a global context. Increasingly, nurses are faced with a range of ethical dilemmas in their work. This requires investigation into the culture of healthcare systems and organisations to identify the root causes and address the barriers and enablers of ethical practice. The increased medicalisation of health care; pressures for systemisation; efficiency and cost reduction; and an ageing population contribute to this complexity. Often, ethical issues in nursing are considered within the abstract and philosophical realm until a dilemma is encountered. Such an approach limits the capacity to tangibly embrace ethical values and frameworks as pathways to equitable, accessible, safe and quality health care and as a foundation for strengthening a supportive and enabling workplace for nurses and other healthcare workers. Conceptual framework development. A comprehensive literature review was undertaken using the social-ecological framework as an organising construct. This framework views ethical practice as the outcome of interaction among a range of factors at eight levels: individual factors (patients and families); individual factors (nurses); relationships between healthcare professionals; relationships between patients and nurses; organisational healthcare context; professional and education regulation and standards; community; and social, political and economic. Considering these elements as discrete, yet interactive and intertwined forces can be useful in developing interventions to promote ethical practice. We consider this framework to have utility in policy, practice, education and research. Nurses face ethical challenges on a daily basis, considering these within a social-ecological framework can assist in developing strategies and resolutions. © 2017 John Wiley & Sons Ltd.

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

PubMed Central

Amarasingham, Ruben; Audet, Anne-Marie J.; Bates, David W.; Glenn Cohen, I.; Entwistle, Martin; Escobar, G. J.; Liu, Vincent; Etheredge, Lynn; Lo, Bernard; Ohno-Machado, Lucila; Ram, Sudha; Saria, Suchi; Schilling, Lisa M.; Shahi, Anand; Stewart, Walter F.; Steyerberg, Ewout W.; Xie, Bin

2016-01-01

Context: The recent explosion in available electronic health record (EHR) data is motivating a rapid expansion of electronic health care predictive analytic (e-HPA) applications, defined as the use of electronic algorithms that forecast clinical events in real time with the intent to improve patient outcomes and reduce costs. There is an urgent need for a systematic framework to guide the development and application of e-HPA to ensure that the field develops in a scientifically sound, ethical, and efficient manner. Objectives: Building upon earlier frameworks of model development and utilization, we identify the emerging opportunities and challenges of e-HPA, propose a framework that enables us to realize these opportunities, address these challenges, and motivate e-HPA stakeholders to both adopt and continuously refine the framework as the applications of e-HPA emerge. Methods: To achieve these objectives, 17 experts with diverse expertise including methodology, ethics, legal, regulation, and health care delivery systems were assembled to identify emerging opportunities and challenges of e-HPA and to propose a framework to guide the development and application of e-HPA. Findings: The framework proposed by the panel includes three key domains where e-HPA differs qualitatively from earlier generations of models and algorithms (Data Barriers, Transparency, and Ethics) and areas where current frameworks are insufficient to address the emerging opportunities and challenges of e-HPA (Regulation and Certification; and Education and Training). The following list of recommendations summarizes the key points of the framework: Data Barriers: Establish mechanisms within the scientific community to support data sharing for predictive model development and testing.Transparency: Set standards around e-HPA validation based on principles of scientific transparency and reproducibility.Ethics: Develop both individual-centered and society-centered risk-benefit approaches to evaluate e-HPA.Regulation and Certification: Construct a self-regulation and certification framework within e-HPA.Education and Training: Make significant changes to medical, nursing, and paraprofessional curricula by including training for understanding, evaluating, and utilizing predictive models. PMID:27141516

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges.

PubMed

Amarasingham, Ruben; Audet, Anne-Marie J; Bates, David W; Glenn Cohen, I; Entwistle, Martin; Escobar, G J; Liu, Vincent; Etheredge, Lynn; Lo, Bernard; Ohno-Machado, Lucila; Ram, Sudha; Saria, Suchi; Schilling, Lisa M; Shahi, Anand; Stewart, Walter F; Steyerberg, Ewout W; Xie, Bin

2016-01-01

The recent explosion in available electronic health record (EHR) data is motivating a rapid expansion of electronic health care predictive analytic (e-HPA) applications, defined as the use of electronic algorithms that forecast clinical events in real time with the intent to improve patient outcomes and reduce costs. There is an urgent need for a systematic framework to guide the development and application of e-HPA to ensure that the field develops in a scientifically sound, ethical, and efficient manner. Building upon earlier frameworks of model development and utilization, we identify the emerging opportunities and challenges of e-HPA, propose a framework that enables us to realize these opportunities, address these challenges, and motivate e-HPA stakeholders to both adopt and continuously refine the framework as the applications of e-HPA emerge. To achieve these objectives, 17 experts with diverse expertise including methodology, ethics, legal, regulation, and health care delivery systems were assembled to identify emerging opportunities and challenges of e-HPA and to propose a framework to guide the development and application of e-HPA. The framework proposed by the panel includes three key domains where e-HPA differs qualitatively from earlier generations of models and algorithms (Data Barriers, Transparency, and ETHICS) and areas where current frameworks are insufficient to address the emerging opportunities and challenges of e-HPA (Regulation and Certification; and Education and Training). The following list of recommendations summarizes the key points of the framework: Data Barriers: Establish mechanisms within the scientific community to support data sharing for predictive model development and testing.Transparency: Set standards around e-HPA validation based on principles of scientific transparency and reproducibility. Develop both individual-centered and society-centered risk-benefit approaches to evaluate e-HPA.Regulation and Certification: Construct a self-regulation and certification framework within e-HPA.Education and Training: Make significant changes to medical, nursing, and paraprofessional curricula by including training for understanding, evaluating, and utilizing predictive models.

Is food allergen analysis flawed? Health and supply chain risks and a proposed framework to address urgent analytical needs.

PubMed

Walker, M J; Burns, D T; Elliott, C T; Gowland, M H; Mills, E N Clare

2016-01-07

Food allergy is an increasing problem for those affected, their families or carers, the food industry and for regulators. The food supply chain is highly vulnerable to fraud involving food allergens, risking fatalities and severe reputational damage to the food industry. Many facets are being pursued to ameliorate the difficulties including better food labelling and the concept of thresholds of elicitation of allergy symptoms as risk management tools. These efforts depend to a high degree on the ability reliably to detect and quantify food allergens; yet all current analytical approaches exhibit severe deficiencies that jeopardise accurate results being produced particularly in terms of the risks of false positive and false negative reporting. If we fail to realise the promise of current risk assessment and risk management of food allergens through lack of the ability to measure food allergens reproducibly and with traceability to an international unit of measurement, the analytical community will have failed a significant societal challenge. Three distinct but interrelated areas of analytical work are urgently needed to address the substantial gaps identified: (a) a coordinated international programme for the production of properly characterised clinically relevant reference materials and calibrants for food allergen analysis; (b) an international programme to widen the scope of proteomics and genomics bioinformatics for the genera containing the major allergens to address problems in ELISA, MS and DNA methods; (c) the initiation of a coordinated international programme leading to reference methods for allergen proteins that provide results traceable to the SI. This article describes in more detail food allergy, the risks of inapplicable or flawed allergen analyses with examples and a proposed framework, including clinically relevant incurred allergen concentrations, to address the currently unmet and urgently required analytical requirements. Support for the above recommendations from food authorities, business organisations and National Measurement Institutes is important; however transparent international coordination is essential. Thus our recommendations are primarily addressed to the European Commission, the Health and Food Safety Directorate, DG Santé. A global multidisciplinary consortium is required to provide a curated suite of data including genomic and proteomic data on key allergenic food sources, made publically available on line.

Guilt-Free War: Post-Traumatic Stress and an Ethical Framework for Battlefield Decisions

DTIC Science & Technology

2015-12-01

Susan Wolf, “ Moral Obligations and Social Command,” in Metaphysics and the Good: Themes from the Philosophy of Robert Merrihew Adams, edited by...1–18. Wolf, Susan. “ Moral Obligations and Social Command.” In Metaphysics and the Good: Themes from the Philosophy of Robert Merrihew Ad- ams, edited...Analysis of Recent Studies 5 Discussion of Various Approaches to Addressing Moral Injuries 7 Recommendations 17 Conclusion 19 Abbreviations 25

Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python.

PubMed

Gorgolewski, Krzysztof; Burns, Christopher D; Madison, Cindee; Clark, Dav; Halchenko, Yaroslav O; Waskom, Michael L; Ghosh, Satrajit S

2011-01-01

Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. Several sophisticated software packages (e.g., AFNI, BrainVoyager, FSL, FreeSurfer, Nipy, R, SPM) are used to process and analyze large and often diverse (highly multi-dimensional) data. However, this heterogeneous collection of specialized applications creates several issues that hinder replicable, efficient, and optimal use of neuroimaging analysis approaches: (1) No uniform access to neuroimaging analysis software and usage information; (2) No framework for comparative algorithm development and dissemination; (3) Personnel turnover in laboratories often limits methodological continuity and training new personnel takes time; (4) Neuroimaging software packages do not address computational efficiency; and (5) Methods sections in journal articles are inadequate for reproducing results. To address these issues, we present Nipype (Neuroimaging in Python: Pipelines and Interfaces; http://nipy.org/nipype), an open-source, community-developed, software package, and scriptable library. Nipype solves the issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows. Nipype provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, allows rapid comparative development of algorithms and reduces the learning curve necessary to use different packages. Nipype supports both local and remote execution on multi-core machines and clusters, without additional scripting. Nipype is Berkeley Software Distribution licensed, allowing anyone unrestricted usage. An open, community-driven development philosophy allows the software to quickly adapt and address the varied needs of the evolving neuroimaging community, especially in the context of increasing demand for reproducible research.

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

PubMed Central

Gorgolewski, Krzysztof; Burns, Christopher D.; Madison, Cindee; Clark, Dav; Halchenko, Yaroslav O.; Waskom, Michael L.; Ghosh, Satrajit S.

2011-01-01

Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. Several sophisticated software packages (e.g., AFNI, BrainVoyager, FSL, FreeSurfer, Nipy, R, SPM) are used to process and analyze large and often diverse (highly multi-dimensional) data. However, this heterogeneous collection of specialized applications creates several issues that hinder replicable, efficient, and optimal use of neuroimaging analysis approaches: (1) No uniform access to neuroimaging analysis software and usage information; (2) No framework for comparative algorithm development and dissemination; (3) Personnel turnover in laboratories often limits methodological continuity and training new personnel takes time; (4) Neuroimaging software packages do not address computational efficiency; and (5) Methods sections in journal articles are inadequate for reproducing results. To address these issues, we present Nipype (Neuroimaging in Python: Pipelines and Interfaces; http://nipy.org/nipype), an open-source, community-developed, software package, and scriptable library. Nipype solves the issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows. Nipype provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, allows rapid comparative development of algorithms and reduces the learning curve necessary to use different packages. Nipype supports both local and remote execution on multi-core machines and clusters, without additional scripting. Nipype is Berkeley Software Distribution licensed, allowing anyone unrestricted usage. An open, community-driven development philosophy allows the software to quickly adapt and address the varied needs of the evolving neuroimaging community, especially in the context of increasing demand for reproducible research. PMID:21897815

Mapping of Drug-like Chemical Universe with Reduced Complexity Molecular Frameworks.

PubMed

Kontijevskis, Aleksejs

2017-04-24

The emergence of the DNA-encoded chemical libraries (DEL) field in the past decade has attracted the attention of the pharmaceutical industry as a powerful mechanism for the discovery of novel drug-like hits for various biological targets. Nuevolution Chemetics technology enables DNA-encoded synthesis of billions of chemically diverse drug-like small molecule compounds, and the efficient screening and optimization of these, facilitating effective identification of drug candidates at an unprecedented speed and scale. Although many approaches have been developed by the cheminformatics community for the analysis and visualization of drug-like chemical space, most of them are restricted to the analysis of a maximum of a few millions of compounds and cannot handle collections of 10 8 -10 12 compounds typical for DELs. To address this big chemical data challenge, we developed the Reduced Complexity Molecular Frameworks (RCMF) methodology as an abstract and very general way of representing chemical structures. By further introducing RCMF descriptors, we constructed a global framework map of drug-like chemical space and demonstrated how chemical space occupied by multi-million-member drug-like Chemetics DNA-encoded libraries and virtual combinatorial libraries with >10 12 members could be analyzed and mapped without a need for library enumeration. We further validate the approach by performing RCMF-based searches in a drug-like chemical universe and mapping Chemetics library selection outputs for LSD1 targets on a global framework chemical space map.

Making sense in a complex landscape: how the Cynefin Framework from Complex Adaptive Systems Theory can inform health promotion practice.

PubMed

Van Beurden, Eric K; Kia, Annie M; Zask, Avigdor; Dietrich, Uta; Rose, Lauren

2013-03-01

Health promotion addresses issues from the simple (with well-known cause/effect links) to the highly complex (webs and loops of cause/effect with unpredictable, emergent properties). Yet there is no conceptual framework within its theory base to help identify approaches appropriate to the level of complexity. The default approach favours reductionism--the assumption that reducing a system to its parts will inform whole system behaviour. Such an approach can yield useful knowledge, yet is inadequate where issues have multiple interacting causes, such as social determinants of health. To address complex issues, there is a need for a conceptual framework that helps choose action that is appropriate to context. This paper presents the Cynefin Framework, informed by complexity science--the study of Complex Adaptive Systems (CAS). It introduces key CAS concepts and reviews the emergence and implications of 'complex' approaches within health promotion. It explains the framework and its use with examples from contemporary practice, and sets it within the context of related bodies of health promotion theory. The Cynefin Framework, especially when used as a sense-making tool, can help practitioners understand the complexity of issues, identify appropriate strategies and avoid the pitfalls of applying reductionist approaches to complex situations. The urgency to address critical issues such as climate change and the social determinants of health calls for us to engage with complexity science. The Cynefin Framework helps practitioners make the shift, and enables those already engaged in complex approaches to communicate the value and meaning of their work in a system that privileges reductionist approaches.

Health information systems evaluation frameworks: A systematic review.

PubMed

Eslami Andargoli, Amirhossein; Scheepers, Helana; Rajendran, Diana; Sohal, Amrik

2017-01-01

Evaluation of health information systems (HISs) is complicated because of the complex nature of the health care domain. Various studies have proposed different frameworks to reduce the complexity in the assessment of these systems. The aim of these frameworks is to provide a set of guidelines for the evaluation of the adequacy of health care information systems. This paper aims to analyse studies on the evaluation of HISs by applying a content, context and process (CCP) framework to address the 'who', 'what', 'how', 'when', and 'why' of the evaluation processes used. This will allow for a better understanding of the relative strengths and weaknesses of various HISs evaluation frameworks, and will pave the way for developing a more complete framework for HISs. A systematic literature review on HIS evaluation studies was undertaken to identify the currently available HIS evaluation frameworks. Five academic databases were selected to conduct this systematic literature review. Most of the studies only address some, but not all, of the five main questions, i.e. the who, what, how, when, why, and that there was a lack of consensus in the way these questions were addressed. The critical role of context was also largely neglected in these studies. Evaluation of HISs is complex. The health care domain is highly context sensitive and in order to have a complete assessment of HISs, consideration of contextual factors is necessary. Specifically, to have the right set of criteria to measure the 'what', the answer to the 'who' of the evaluation is necessary. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

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

Yan, Rui; Praggastis, Brenda L.; Smith, William P.

While streaming data have become increasingly more popular in business and research communities, semantic models and processing software for streaming data have not kept pace. Traditional semantic solutions have not addressed transient data streams. Semantic web languages (e.g., RDF, OWL) have typically addressed static data settings and linked data approaches have predominantly addressed static or growing data repositories. Streaming data settings have some fundamental differences; in particular, data are consumed on the fly and data may expire. Stream reasoning, a combination of stream processing and semantic reasoning, has emerged with the vision of providing "smart" processing of streaming data. C-SPARQLmore » is a prominent stream reasoning system that handles semantic (RDF) data streams. Many stream reasoning systems including C-SPARQL use a sliding window and use data arrival time to evict data. For data streams that include expiration times, a simple arrival time scheme is inadequate if the window size does not match the expiration period. In this paper, we propose a cache-enabled, order-aware, ontology-based stream reasoning framework. This framework consumes RDF streams with expiration timestamps assigned by the streaming source. Our framework utilizes both arrival and expiration timestamps in its cache eviction policies. In addition, we introduce the notion of "semantic importance" which aims to address the relevance of data to the expected reasoning, thus enabling the eviction algorithms to be more context- and reasoning-aware when choosing what data to maintain for question answering. We evaluate this framework by implementing three different prototypes and utilizing five metrics. The trade-offs of deploying the proposed framework are also discussed.« less

Mode of action human relevance (species concordance) framework: Evolution of the Bradford Hill considerations and comparative analysis of weight of evidence

PubMed Central

Meek, M E (Bette); Palermo, Christine M; Bachman, Ammie N; North, Colin M; Jeffrey Lewis, R

2014-01-01

The mode of action human relevance (MOA/HR) framework increases transparency in systematically considering data on MOA for end (adverse) effects and their relevance to humans. This framework continues to evolve as experience increases in its application. Though the MOA/HR framework is not designed to address the question of “how much information is enough” to support a hypothesized MOA in animals or its relevance to humans, its organizing construct has potential value in considering relative weight of evidence (WOE) among different cases and hypothesized MOA(s). This context is explored based on MOA analyses in published assessments to illustrate the relative extent of supporting data and their implications for dose–response analysis and involved comparisons for chemical assessments on trichloropropane, and carbon tetrachloride with several hypothesized MOA(s) for cancer. The WOE for each hypothesized MOA was summarized in narrative tables based on comparison and contrast of the extent and nature of the supporting database versus potentially inconsistent or missing information. The comparison was based on evolved Bradford Hill considerations rank ordered to reflect their relative contribution to WOE determinations of MOA taking into account increasing experience in their application internationally. This clarification of considerations for WOE determinations as a basis for comparative analysis is anticipated to contribute to increasing consistency in the application of MOA/HR analysis and potentially, transparency in separating science judgment from public policy considerations in regulatory risk assessment. Copyright © 2014. The Authors. Journal of Applied Toxicology Published by John Wiley & Sons Ltd. The potential value of the mode of action (MOA)/human relevance (species concordance) framework in considering relative weight of evidence (WOE) amongst different cases and hypothesized MOA(s) is explored based on the content of several published assessments. The comparison is based on evolved Bradford Hill considerations rank ordered to reflect their relative contribution to WOE determinations for MOA based on experience internationally. PMID:24777878

Framework for Metals Risk Assessment

EPA Pesticide Factsheets

The Framework for Metals Risk Assessment is a science-based document that addresses the special attributes and behaviors of metals and metal compounds to be considered when assessing their human health and ecological risks.

A framework for evaluating national space activity

NASA Astrophysics Data System (ADS)

Wood, Danielle; Weigel, Annalisa

2012-04-01

Space technology and resources are used around the world to address societal challenges. Space provides valuable satellite services, unique scientific discoveries, surprising technology applications and new economic opportunities. Many developing countries formally recognize the advantages of space resources and pursue national level activity to harness them. There is limited data or documentation on the space activities of developing countries. Meanwhile, traditional approaches to summarize national space activity do not necessarily capture the types of activity that developing countries pursue in space. This is especially true if they do not have a formal national space program or office. Developing countries pursue national space activity through activities of many types—from national satellite programs to commercial use of satellite services to involvement with international space institutions. This research aims to understand and analyze these trends. This paper introduces two analytical frameworks for evaluating space activity at the national level. The frameworks are specifically designed to capture the activity of countries that have traditionally been less involved in space. They take a broad view of space related activity across multiple societal sectors and disciplines. The discussion explains the approach for using the frameworks as well as illustrative examples of how they can be applied as part of a research process. The first framework is called the Mission and Management Ladders. This framework considers specific space projects within countries and ranks them on "Ladders" that measure technical challenge and managerial autonomy. This first method is at a micro level of analysis. The second framework is called the Space Participation Metric (SPM). The SPM can be used to assign a Space Participation score to countries based on their involvement in various space related activities. This second method uses a macro level of analysis. The authors developed both frameworks as part of a long term research program about the space activities of developing countries. This aspect of the research focuses on harnessing multiple techniques to summarize complex, multi-disciplinary information about global space activity.

Upper secondary and first-year university students' explanations of animal behaviour: to what extent are Tinbergen's four questions about causation, ontogeny, function and evolution, represented?

NASA Astrophysics Data System (ADS)

Pinxten, Rianne; Desclée, Mathieu; Eens, Marcel

2016-09-01

In 1963, the Nobel Prize-winning ethologist Niko Tinbergen proposed a framework for the scientific study of animal behaviour by outlining four questions that should be answered to have a complete understanding: causation, ontogeny, function and evolution. At present, Tinbergen's framework is still considered the best way to guide animal behavioural research. Given the importance in science instruction of demonstrating how scientists work and ask questions, we investigated to what extent Tinbergen's questions are addressed in biology textbooks in secondary education in Flanders, Belgium, and represented in upper-secondary and first-year university students' explanations of behaviour in general and of specific animal behaviours. Our results revealed that teaching of animal behaviour mainly addresses ontogeny and causation, and that Tinbergen's framework is not explicitly referred to. Students typically addressed only one or two questions, with the majority addressing causation or both causation and ontogeny when explaining behaviour in general, but function or causation and function when explaining specific animal behaviours. This high prevalence of function may be due to teleological thinking. Evolution was completely neglected, even in university students who had recently completed an evolution course. Our results revealed that transfer of the concepts of ontogeny and evolution was (almost) absent. We argue why Tinbergen's framework should be an integral part of any biology curriculum.

The role of promotion in alcoholism treatment marketing.

PubMed

Jones, M A; Self, D R; Owens, C A; Kline, T A

1988-01-01

This article is an overview of the promotion function as a part of the ATM's marketing mix. It approaches various promotion decision areas from a managerial perspective, focusing upon some key components of promotion planning. Rather than provide specific operational or implementation details (how to write a brochure) it is more conceptual in nature and offers a framework for promotion planners. The article addresses promotion management, promotion objectives, analysis for promotion planning, the promotion mix, and addresses the benefits and limitations of some specific promotion tools available to the ATM manager. It treats ATMs as a service and reveals specific implications for promotion strategy dictated by services. The article also reports promotion tools employed by Alabama ATMs citing data from the Alabama study.

Strategies for integrating personalized medicine into healthcare practice.

PubMed

Pritchard, Daryl E; Moeckel, Franziska; Villa, Mary Susan; Housman, Laura T; McCarty, Catherine A; McLeod, Howard L

2017-03-01

Research and innovation in personalized medicine are surging, however, its adoption into clinical practice is comparatively slow. We identify common challenges to the clinical adoption of personalized medicine and provide strategies for addressing these challenges. Our team developed a list of common challenges through a series of group discussions, surveys and interviews, and convened a national summit to discuss solutions for overcoming these challenges. We used a framework approach for thematic analysis. We categorized challenges into five areas of need: education and awareness; patient empowerment; value recognition; infrastructure and information management; and ensuring access to care. We then developed strategies to address these challenges. In order for healthcare to transition into personalized medicine, it is necessary for stakeholders to build momentum by implementing a progression of strategies.

Improving the integration of recreation management with management of other natural resources by applying concepts of scale from ecology.

PubMed

Morse, Wayde C; Hall, Troy E; Kruger, Linda E

2009-03-01

In this article, we examine how issues of scale affect the integration of recreation management with the management of other natural resources on public lands. We present two theories used to address scale issues in ecology and explore how they can improve the two most widely applied recreation-planning frameworks. The theory of patch dynamics and hierarchy theory are applied to the recreation opportunity spectrum (ROS) and the limits of acceptable change (LAC) recreation-planning frameworks. These frameworks have been widely adopted internationally, and improving their ability to integrate with other aspects of natural resource management has significant social and conservation implications. We propose that incorporating ecologic criteria and scale concepts into these recreation-planning frameworks will improve the foundation for integrated land management by resolving issues of incongruent boundaries, mismatched scales, and multiple-scale analysis. Specifically, we argue that whereas the spatially explicit process of the ROS facilitates integrated decision making, its lack of ecologic criteria, broad extent, and large patch size decrease its usefulness for integration at finer scales. The LAC provides explicit considerations for weighing competing values, but measurement of recreation disturbances within an LAC analysis is often done at too fine a grain and at too narrow an extent for integration with other recreation and resource concerns. We suggest that planners should perform analysis at multiple scales when making management decisions that involve trade-offs among competing values. The United States Forest Service is used as an example to discuss how resource-management agencies can improve this integration.

From Standards to Frameworks for IL: How the ACRL Framework Addresses Critiques of the Standards

ERIC Educational Resources Information Center

Foasberg, Nancy M.

2015-01-01

The Association of College and Research Libraries (ACRL) Information Literacy Competency Standards for Higher Education, since their publication in 2000, have drawn criticism for ignoring the social and political aspects of information literacy. The ACRL Information Literacy Competency Standards Task Force responded with the Framework for…

Career-Community Development: A Framework for Career Counseling and Capacity Building in Rural Communities

ERIC Educational Resources Information Center

Cox, Robin S.; Espinoza, Adriana

2005-01-01

The authors propose a framework for career counseling in rural communities that addresses the psychosocial and economic challenges of natural disasters and other catastrophic transitions. The career-community development framework expands the notion of "client" to include a community-as-client approach within a capacity building…

Using an ecological ethics framework to make decisions about the relocation of wildlife.

PubMed

McCoy, Earl D; Berry, Kristin

2008-12-01

Relocation is an increasingly prominent conservation tool for a variety of wildlife, but the technique also is controversial, even among conservation practitioners. An organized framework for addressing the moral dilemmas often accompanying conservation actions such as relocation has been lacking. Ecological ethics may provide such a framework and appears to be an important step forward in aiding ecological researchers and biodiversity managers to make difficult moral choices. A specific application of this framework can make the reasoning process more transparent and give more emphasis to the strong sentiments about non-human organisms held by many potential users. Providing an example of the application of the framework may also increase the appeal of the reasoning process to ecological researchers and biodiversity managers. Relocation as a conservation action can be accompanied by a variety of moral dilemmas that reflect the interconnection of values, ethical positions, and conservation decisions. A model that is designed to address moral dilemmas arising from relocation of humans provides/demonstrates/illustrates a possible way to apply the ecological ethics framework and to involve practicing conservationists in the overall decision-making process.

The Contribution of Conceptual Frameworks to Knowledge Translation Interventions in Physical Therapy

PubMed Central

Gervais, Mathieu-Joël; Hunt, Matthew

2015-01-01

There is growing recognition of the importance of knowledge translation activities in physical therapy to ensure that research findings are integrated into clinical practice, and increasing numbers of knowledge translation interventions are being conducted. Although various frameworks have been developed to guide and facilitate the process of translating knowledge into practice, these tools have been infrequently used in physical therapy knowledge translation studies to date. Knowledge translation in physical therapy implicates multiple stakeholders and environments and involves numerous steps. In light of this complexity, the use of explicit conceptual frameworks by clinicians and researchers conducting knowledge translation interventions is associated with a range of potential benefits. This perspective article argues that such frameworks are important resources to promote the uptake of new evidence in physical therapist practice settings. Four key benefits associated with the use of conceptual frameworks in designing and implementing knowledge translation interventions are identified, and limits related to their use are considered. A sample of 5 conceptual frameworks is evaluated, and how they address common barriers to knowledge translation in physical therapy is assessed. The goal of this analysis is to provide guidance to physical therapists seeking to identify a framework to support the design and implementation of a knowledge translation intervention. Finally, the use of a conceptual framework is illustrated through a case example. Increased use of conceptual frameworks can have a positive impact on the field of knowledge translation in physical therapy and support the development and implementation of robust and effective knowledge translation interventions that help span the research-practice gap. PMID:25060959

The contribution of conceptual frameworks to knowledge translation interventions in physical therapy.

PubMed

Hudon, Anne; Gervais, Mathieu-Joël; Hunt, Matthew

2015-04-01

There is growing recognition of the importance of knowledge translation activities in physical therapy to ensure that research findings are integrated into clinical practice, and increasing numbers of knowledge translation interventions are being conducted. Although various frameworks have been developed to guide and facilitate the process of translating knowledge into practice, these tools have been infrequently used in physical therapy knowledge translation studies to date. Knowledge translation in physical therapy implicates multiple stakeholders and environments and involves numerous steps. In light of this complexity, the use of explicit conceptual frameworks by clinicians and researchers conducting knowledge translation interventions is associated with a range of potential benefits. This perspective article argues that such frameworks are important resources to promote the uptake of new evidence in physical therapist practice settings. Four key benefits associated with the use of conceptual frameworks in designing and implementing knowledge translation interventions are identified, and limits related to their use are considered. A sample of 5 conceptual frameworks is evaluated, and how they address common barriers to knowledge translation in physical therapy is assessed. The goal of this analysis is to provide guidance to physical therapists seeking to identify a framework to support the design and implementation of a knowledge translation intervention. Finally, the use of a conceptual framework is illustrated through a case example. Increased use of conceptual frameworks can have a positive impact on the field of knowledge translation in physical therapy and support the development and implementation of robust and effective knowledge translation interventions that help span the research-practice gap. © 2015 American Physical Therapy Association.

Development of a framework to identify research gaps from systematic reviews.

PubMed

Robinson, Karen A; Saldanha, Ian J; McKoy, Naomi A

2011-12-01

Our objective was to develop a framework to identify research gaps from systematic reviews. We reviewed the practices of (1) evidence-based practice centers (EPCs), and (2) other organizations that conduct evidence syntheses. We developed and pilot tested a framework for identifying research gaps. Four (33%) EPCs and three (8%) other organizations reported using an explicit framework to determine research gaps. Variations of the PICO (population, intervention, comparison, outcomes) framework were most common. We developed a framework incorporating both the characterization of the gap using PICOS elements (also including setting) and the identification of the reason(s) why the gap exists as (1) insufficient or imprecise information, (2) biased information, (3) inconsistency or unknown consistency, and (4) not the right information. We mapped each of these reasons to concepts from three common evidence-grading systems. Our framework determines from systematic reviews where the current evidence falls short and why or how the evidence falls short. This explicit identification of research gaps will allow systematic reviews to maximally inform the types of questions that need to be addressed and the types of studies needed to address the research gaps. Copyright © 2011 Elsevier Inc. All rights reserved.

Patterns for Effectively Documenting Frameworks

NASA Astrophysics Data System (ADS)

Aguiar, Ademar; David, Gabriel

Good design and implementation are necessary but not sufficient pre-requisites for successfully reusing object-oriented frameworks. Although not always recognized, good documentation is crucial for effective framework reuse, and often hard, costly, and tiresome, coming with many issues, especially when we are not aware of the key problems and respective ways of addressing them. Based on existing literature, case studies and lessons learned, the authors have been mining proven solutions to recurrent problems of documenting object-oriented frameworks, and writing them in pattern form, as patterns are a very effective way of communicating expertise and best practices. This paper presents a small set of patterns addressing problems related to the framework documentation itself, here seen as an autonomous and tangible product independent of the process used to create it. The patterns aim at helping non-experts on cost-effectively documenting object-oriented frameworks. In concrete, these patterns provide guidance on choosing the kinds of documents to produce, how to relate them, and which contents to include. Although the focus is more on the documents themselves, rather than on the process and tools to produce them, some guidelines are also presented in the paper to help on applying the patterns to a specific framework.

On the Use of CAD and Cartesian Methods for Aerodynamic Optimization

NASA Technical Reports Server (NTRS)

Nemec, M.; Aftosmis, M. J.; Pulliam, T. H.

2004-01-01

The objective for this paper is to present the development of an optimization capability for Curt3D, a Cartesian inviscid-flow analysis package. We present the construction of a new optimization framework and we focus on the following issues: 1) Component-based geometry parameterization approach using parametric-CAD models and CAPRI. A novel geometry server is introduced that addresses the issue of parallel efficiency while only sparingly consuming CAD resources; 2) The use of genetic and gradient-based algorithms for three-dimensional aerodynamic design problems. The influence of noise on the optimization methods is studied. Our goal is to create a responsive and automated framework that efficiently identifies design modifications that result in substantial performance improvements. In addition, we examine the architectural issues associated with the deployment of a CAD-based approach in a heterogeneous parallel computing environment that contains both CAD workstations and dedicated compute engines. We demonstrate the effectiveness of the framework for a design problem that features topology changes and complex geometry.

EarthCube's Assessment Framework: Ensuring Return on Investment

NASA Astrophysics Data System (ADS)

Lehnert, K.

2016-12-01

EarthCube is a community-governed, NSF-funded initiative to transform geoscience research by developing cyberinfrastructure that improves access, sharing, visualization, and analysis of all forms of geosciences data and related resources. EarthCube's goal is to enable geoscientists to tackle the challenges of understanding and predicting a complex and evolving solid Earth, hydrosphere, atmosphere, and space environment systems. EarthCube's infrastructure needs capabilities around data, software, and systems. It is essential for EarthCube to determine the value of new capabilities for the community and the progress of the overall effort to demonstrate its value to the science community and Return on Investment for the NSF. EarthCube is therefore developing an assessment framework for research proposals, projects funded by EarthCube, and the overall EarthCube program. As a first step, a software assessment framework has been developed that addresses the EarthCube Strategic Vision by promoting best practices in software development, complete and useful documentation, interoperability, standards adherence, open science, and education and training opportunities for research developers.

Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework.

PubMed

El-Assady, Mennatallah; Sevastjanova, Rita; Sperrle, Fabian; Keim, Daniel; Collins, Christopher

2018-01-01

Topic modeling algorithms are widely used to analyze the thematic composition of text corpora but remain difficult to interpret and adjust. Addressing these limitations, we present a modular visual analytics framework, tackling the understandability and adaptability of topic models through a user-driven reinforcement learning process which does not require a deep understanding of the underlying topic modeling algorithms. Given a document corpus, our approach initializes two algorithm configurations based on a parameter space analysis that enhances document separability. We abstract the model complexity in an interactive visual workspace for exploring the automatic matching results of two models, investigating topic summaries, analyzing parameter distributions, and reviewing documents. The main contribution of our work is an iterative decision-making technique in which users provide a document-based relevance feedback that allows the framework to converge to a user-endorsed topic distribution. We also report feedback from a two-stage study which shows that our technique results in topic model quality improvements on two independent measures.

Earthquake impact on settlements: the role of urban and structural morphology

NASA Astrophysics Data System (ADS)

Bostenaru Dan, M.; Armas, I.

2015-10-01

This study is aimed to create an alternative to the classical GIS representation of the impact of earthquake hazards on urban areas. To accomplish this, the traditional map was revised, so that it can cope with contemporary innovative ways of planning, namely strategic planning. As in the theory of fractals, the building dimension and the urban neighbourhood dimension are addressed as different geographic scales between which lessons for decisions can be learned through regression. The interaction between the two scales is useful when looking for alternatives, for the completion of a GIS analysis, and in choosing the landmarks, which, in the case of hazards, become strategic elements in strategic planning. A methodology to innovate mapping as a digital means for analysing and visualising the impact of hazards is proposed. This method relies on concepts from various geography, urban planning, structural engineering and architecture approaches related to disaster management. The method has been tested at the building scale for the N-S Boulevard in Bucharest, Romania, called Magheru. At the urban scale, an incident database has been created, in which the case study for the building level can be mapped. The paper presented is part of a larger research work, which addresses decision making using the framework shown here. The main value of the paper is in proposing a conceptual framework to deconstruct the map for digital earthquake disaster impact analysis and representation. The originality of the concept consists in the representation of elements at different scales considered to be of different levels of importance in the urban tissue, according to the analysis to be performed on them.

Incorporating children's toxicokinetics into a risk framework.

PubMed Central

Ginsberg, Gary; Slikker, William; Bruckner, James; Sonawane, Babasaheb

2004-01-01

Children's responses to environmental toxicants will be affected by the way in which their systems absorb, distribute, metabolize, and excrete chemicals. These toxicokinetic factors vary during development, from in utero where maternal and placental processes play a large role, to the neonate in which emerging metabolism and clearance pathways are key determinants. Toxicokinetic differences between neonates and adults lead to the potential for internal dosimetry differences and increased or decreased risk, depending on the mechanisms for toxicity and clearance of a given chemical. This article raises a number of questions that need to be addressed when conducting a toxicokinetic analysis of in utero or childhood exposures. These questions are organized into a proposed framework for conducting the assessment that involves problem formulation (identification of early life stage toxicokinetic factors and chemical-specific factors that may raise questions/concerns for children); data analysis (development of analytic approach, construction of child/adult or child/animal dosimetry comparisons); and risk characterization (evaluation of how children's toxicokinetic analysis can be used to decrease uncertainties in the risk assessment). The proposed approach provides a range of analytical options, from qualitative to quantitative, for assessing children's dosimetry. Further, it provides background information on a variety of toxicokinetic factors that can vary as a function of developmental stage. For example, the ontology of metabolizing systems is described via reference to pediatric studies involving therapeutic drugs and evidence from in vitro enzyme studies. This type of resource information is intended to help the assessor begin to address the issues raised in this paper. PMID:14754583

Structural controllability of unidirectional bipartite networks

NASA Astrophysics Data System (ADS)

Nacher, Jose C.; Akutsu, Tatsuya

2013-04-01

The interactions between fundamental life molecules, people and social organisations build complex architectures that often result in undesired behaviours. Despite all of the advances made in our understanding of network structures over the past decade, similar progress has not been achieved in the controllability of real-world networks. In particular, an analytical framework to address the controllability of bipartite networks is still absent. Here, we present a dominating set (DS)-based approach to bipartite network controllability that identifies the topologies that are relatively easy to control with the minimum number of driver nodes. Our theoretical calculations, assisted by computer simulations and an evaluation of real-world networks offer a promising framework to control unidirectional bipartite networks. Our analysis should open a new approach to reverting the undesired behaviours in unidirectional bipartite networks at will.

Improving the hospital 'soundscape': a framework to measure individual perceptual response to hospital sounds.

PubMed

Mackrill, J B; Jennings, P A; Cain, R

2013-01-01

Work on the perception of urban soundscapes has generated a number of perceptual models which are proposed as tools to test and evaluate soundscape interventions. However, despite the excessive sound levels and noise within hospital environments, perceptual models have not been developed for these spaces. To address this, a two-stage approach was developed by the authors to create such a model. First, semantics were obtained from listening evaluations which captured the feelings of individuals from hearing hospital sounds. Then, 30 participants rated a range of sound clips representative of a ward soundscape based on these semantics. Principal component analysis extracted a two-dimensional space representing an emotional-cognitive response. The framework enables soundscape interventions to be tested which may improve the perception of these hospital environments.

A general framework for analysing diversity in science, technology and society.

PubMed

Stirling, Andy

2007-08-22

This paper addresses the scope for more integrated general analysis of diversity in science, technology and society. It proposes a framework recognizing three necessary but individually insufficient properties of diversity. Based on 10 quality criteria, it suggests a general quantitative non-parametric diversity heuristic. This allows the systematic exploration of diversity under different perspectives, including divergent conceptions of relevant attributes and contrasting weightings on different diversity properties. It is shown how this heuristic may be used to explore different possible trade-offs between diversity and other aspects of interest, including portfolio interactions. The resulting approach offers a way to be more systematic and transparent in the treatment of scientific and technological diversity in a range of fields, including conservation management, research governance, energy policy and sustainable innovation.

Data Rights and Responsibilities: A Human Rights Perspective on Data Sharing.

PubMed

Harris, Theresa L; Wyndham, Jessica M

2015-07-01

A human-rights-based analysis can be a useful tool for the scientific community and policy makers as they develop codes of conduct, harmonized standards, and national policies for data sharing. The human rights framework provides a shared set of values and norms across borders, defines rights and responsibilities of various actors involved in data sharing, addresses the potential harms as well as the benefits of data sharing, and offers a framework for balancing competing values. The right to enjoy the benefits of scientific progress and its applications offers a particularly helpful lens through which to view data as both a tool of scientific inquiry to which access is vital and as a product of science from which everyone should benefit. © The Author(s) 2015.

Computer models and the evidence of anthropogenic climate change: An epistemology of variety-of-evidence inferences and robustness analysis.

PubMed

Vezér, Martin A

2016-04-01

To study climate change, scientists employ computer models, which approximate target systems with various levels of skill. Given the imperfection of climate models, how do scientists use simulations to generate knowledge about the causes of observed climate change? Addressing a similar question in the context of biological modelling, Levins (1966) proposed an account grounded in robustness analysis. Recent philosophical discussions dispute the confirmatory power of robustness, raising the question of how the results of computer modelling studies contribute to the body of evidence supporting hypotheses about climate change. Expanding on Staley's (2004) distinction between evidential strength and security, and Lloyd's (2015) argument connecting variety-of-evidence inferences and robustness analysis, I address this question with respect to recent challenges to the epistemology robustness analysis. Applying this epistemology to case studies of climate change, I argue that, despite imperfections in climate models, and epistemic constraints on variety-of-evidence reasoning and robustness analysis, this framework accounts for the strength and security of evidence supporting climatological inferences, including the finding that global warming is occurring and its primary causes are anthropogenic. Copyright © 2016 Elsevier Ltd. All rights reserved.

Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior.

PubMed

Panzeri, Stefano; Harvey, Christopher D; Piasini, Eugenio; Latham, Peter E; Fellin, Tommaso

2017-02-08

The two basic processes underlying perceptual decisions-how neural responses encode stimuli, and how they inform behavioral choices-have mainly been studied separately. Thus, although many spatiotemporal features of neural population activity, or "neural codes," have been shown to carry sensory information, it is often unknown whether the brain uses these features for perception. To address this issue, we propose a new framework centered on redefining the neural code as the neural features that carry sensory information used by the animal to drive appropriate behavior; that is, the features that have an intersection between sensory and choice information. We show how this framework leads to a new statistical analysis of neural activity recorded during behavior that can identify such neural codes, and we discuss how to combine intersection-based analysis of neural recordings with intervention on neural activity to determine definitively whether specific neural activity features are involved in a task. Copyright © 2017 Elsevier Inc. All rights reserved.

A flexible, interpretable framework for assessing sensitivity to unmeasured confounding.

PubMed

Dorie, Vincent; Harada, Masataka; Carnegie, Nicole Bohme; Hill, Jennifer

2016-09-10

When estimating causal effects, unmeasured confounding and model misspecification are both potential sources of bias. We propose a method to simultaneously address both issues in the form of a semi-parametric sensitivity analysis. In particular, our approach incorporates Bayesian Additive Regression Trees into a two-parameter sensitivity analysis strategy that assesses sensitivity of posterior distributions of treatment effects to choices of sensitivity parameters. This results in an easily interpretable framework for testing for the impact of an unmeasured confounder that also limits the number of modeling assumptions. We evaluate our approach in a large-scale simulation setting and with high blood pressure data taken from the Third National Health and Nutrition Examination Survey. The model is implemented as open-source software, integrated into the treatSens package for the R statistical programming language. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

Parallel Index and Query for Large Scale Data Analysis

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

Chou, Jerry; Wu, Kesheng; Ruebel, Oliver

2011-07-18

Modern scientific datasets present numerous data management and analysis challenges. State-of-the-art index and query technologies are critical for facilitating interactive exploration of large datasets, but numerous challenges remain in terms of designing a system for process- ing general scientific datasets. The system needs to be able to run on distributed multi-core platforms, efficiently utilize underlying I/O infrastructure, and scale to massive datasets. We present FastQuery, a novel software framework that address these challenges. FastQuery utilizes a state-of-the-art index and query technology (FastBit) and is designed to process mas- sive datasets on modern supercomputing platforms. We apply FastQuery to processing ofmore » a massive 50TB dataset generated by a large scale accelerator modeling code. We demonstrate the scalability of the tool to 11,520 cores. Motivated by the scientific need to search for inter- esting particles in this dataset, we use our framework to reduce search time from hours to tens of seconds.« less

Settler colonial power and the American Indian sovereignty movement: forms of domination, strategies of transformation.

PubMed

Steinman, Erich

2012-01-01

The article extends the multi-institutional model of power and change through an analysis of the American Indian Sovereignty Movement. Drawing upon cultural models of the state, and articulating institutionalist conceptions of political opportunities and resources, the analysis demonstrates that this framework can be applied to challenges addressing the state as well as nonstate fields. The rational-legal diminishment of tribal rights, bureaucratic paternalism, commonsense views of tribes as racial/ethnic minorities, and the binary construction of American and Indian as oppositional identities diminished the appeal of "contentious" political action. Instead, to establish tribes' status as sovereign nations, tribal leaders aggressively enacted infrastructural power, transposed favorable legal rulings across social fields to legitimize sovereignty discourses, and promoted a pragmatic coexistence with state and local governments. Identifying the United States as a settler colonial society, the study suggests that a decolonizing framework is more apt than racial/ethnicity approaches in conceptualizing the struggle of American Indians.

"Ordinary men" or "evil monsters"? An action systems model of genocidal actions and characteristics of perpetrators.

PubMed

Hollows, Kerrilee; Fritzon, Katarina

2012-10-01

This study aimed to address the limitations of the existing genocide literature with the development of an empirically based classification system. Using Shye's (1985) action systems model, it was hypothesized that four types of perpetrators would exist and would be distinguishable by differences in the sources and target of individual criminal actions. Court transcripts from 80 perpetrators sentenced by the international courts were subject to content analysis and revealed 39 offense action variables, 17 perpetrator characteristic variables, and 6 perpetrator motive variables. A smallest space analysis using the Jaccard coefficient of association was conducted on the offense variables. The results supported the proposed framework, producing four distinct types of genocidal perpetrators. Correlational analyses were then conducted to examine the relationships between each of the perpetrator types and the remaining variables. The results of those correlations provided further support for the proposed framework. The implications of these findings are discussed. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Linking functional diversity and social actor strategies in a framework for interdisciplinary analysis of nature's benefits to society

PubMed Central

Díaz, Sandra; Cáceres, Daniel M.; Trainor, Sarah F.; Pérez-Harguindeguy, Natalia; Bret-Harte, M. Syndonia; Finegan, Bryan; Peña-Claros, Marielos; Poorter, Lourens

2011-01-01

The crucial role of biodiversity in the links between ecosystems and societies has been repeatedly highlighted both as source of wellbeing and as a target of human actions, but not all aspects of biodiversity are equally important to different ecosystem services. Similarly, different social actors have different perceptions of and access to ecosystem services, and therefore, they have different wants and capacities to select directly or indirectly for particular biodiversity and ecosystem characteristics. Their choices feed back onto the ecosystem services provided to all parties involved and in turn, affect future decisions. Despite this recognition, the research communities addressing biodiversity, ecosystem services, and human outcomes have yet to develop frameworks that adequately treat the multiple dimensions and interactions in the relationship. Here, we present an interdisciplinary framework for the analysis of relationships between functional diversity, ecosystem services, and human actions that is applicable to specific social environmental systems at local scales. We connect the mechanistic understanding of the ecological role of diversity with its social relevance: ecosystem services. The framework permits connections between functional diversity components and priorities of social actors using land use decisions and ecosystem services as the main links between these ecological and social components. We propose a matrix-based method that provides a transparent and flexible platform for quantifying and integrating social and ecological information and negotiating potentially conflicting land uses among multiple social actors. We illustrate the applicability of our framework by way of land use examples from temperate to subtropical South America, an area of rapid social and ecological change. PMID:21220325

Portland-cement concrete rheology and workability : final report

DOT National Transportation Integrated Search

2012-12-10

Based on research including four best practice studies, the report proposes a framework for Metropolitan Planning Organizations (MPOs) and partners to use to integrate health into metropolitan area transportation planning. The framework addresses bot...

Interprofessional communication training: benefits to practicing pharmacists.

PubMed

Luetsch, Karen; Rowett, Debra

2015-10-01

Interprofessional communication skills are important for pharmacists to build collaborative relationships with other health professionals, integrate into healthcare teams, maximise their effectiveness in patient care in addressing complex care needs and meet the demands of health care reforms. This qualitative study explores clinical pharmacists' experiences and reflections after completing a learning and practice module which introduced them to a framework for successful interprofessional communication. The postgraduate clinical pharmacy program at The University of Queensland and the clinical pharmacy practice environments of forty-eight hospital and seven community based pharmacists. A learning and practice module outlining a framework for successful interprofessional communication was designed and integrated into a postgraduate clinical pharmacy program. Enrolled pharmacists applied newly learnt communication skills in pro-actively initiated, clinical discussions with a health professional in their practice environment. They provided written reflections on their experiences which were analysed using thematic analysis. Pharmacists' perceptions of the impact of applying the communication framework during their interaction with a health professional in their practice setting. Themes which emerged from reflections described pharmacists' confidence and capabilities to successfully conduct a clinical discussion with a health professional after initial apprehension and nervousness about the scheduled interaction. The application of the communication framework enhanced their perception of their professional identity, credibility and ability to build a collaborative working relationship with other health professionals. Pharmacists perceived that a learning and practice module for successful interprofessional practice integrated into a postgraduate clinical pharmacy program enhanced their interprofessional communication skills. The development of pro-active, interprofessional communication skills has the potential to increase interprofessional collaboration and pharmacists' personal role satisfaction. Pharmacists also observed it added value to their professional contribution in health care teams when addressing the demands of increasingly complex health care needs and reforms.

Employing the FITT framework to explore HIV case managers' perceptions of two electronic clinical data (ECD) summary systems.

PubMed

Schnall, Rebecca; Smith, Ann B; Sikka, Manik; Gordon, Peter; Camhi, Eli; Kanter, Timothy; Bakken, Suzanne

2012-10-01

Case managers facilitate continuity of care for persons living with HIV (PLWH) by coordination of resources and referrals to social services and medical care. The complexity of HIV care and associated comorbidities drives the need for medical and psychosocial care coordination, which may be achieved through health information exchange (HIE) systems. However, the use of HIE has not been well studied in the context of HIV services. The purpose of this descriptive qualitative study is to explore factors influencing case managers' adoption of electronic clinical data (ECD) summaries as an HIE strategy in HIV care through application of the "fit between individuals, task and technology" (FITT) framework. Focus group methodology was used to gather perceptions from 48 participants who provided direct case management services for PLWH in New York City. Questions addressed current quality and efficiency challenges to HIE utilization in the context of case management of PLWH as well as barriers and enablers to use of an ECD summary. Analysis of the data was guided by the FITT framework. Major themes by interaction type were: (1) task-technology fit - resources, time and workflow; (2) individual-task fit - training and technical support; and 3) individual-technology fit - ECD summary functionality, technical difficulties and the need of a computer for each end-user. Our findings provide evidence for the applicability of the FITT framework to explore case managers' perceptions of factors influencing the adoption of ECD summary systems for HIV care prior to actual implementation. Assessment of fit among individual, task, and technology and addressing the concerns identified prior to implementation is critical to successful adoption of health information technology as a strategy to improve quality and efficiency in health care. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Combined quality function deployment and logical framework analysis to improve quality of emergency care in Malta.

PubMed

Buttigieg, Sandra Catherine; Dey, Prasanta Kumar; Cassar, Mary Rose

2016-01-01

The purpose of this paper is to develop an integrated patient-focused analytical framework to improve quality of care in accident and emergency (A & E) unit of a Maltese hospital. The study adopts a case study approach. First, a thorough literature review has been undertaken to study the various methods of healthcare quality management. Second, a healthcare quality management framework is developed using combined quality function deployment (QFD) and logical framework approach (LFA). Third, the proposed framework is applied to a Maltese hospital to demonstrate its effectiveness. The proposed framework has six steps, commencing with identifying patients' requirements and concluding with implementing improvement projects. All the steps have been undertaken with the involvement of the concerned stakeholders in the A & E unit of the hospital. The major and related problems being faced by the hospital under study were overcrowding at A & E and shortage of beds, respectively. The combined framework ensures better A & E services and patient flow. QFD identifies and analyses the issues and challenges of A & E and LFA helps develop project plans for healthcare quality improvement. The important outcomes of implementing the proposed quality improvement programme are fewer hospital admissions, faster patient flow, expert triage and shorter waiting times at the A & E unit. Increased emergency consultant cover and faster first significant medical encounter were required to start addressing the problems effectively. Overall, the combined QFD and LFA method is effective to address quality of care in A & E unit. PRACTICAL/IMPLICATIONS: The proposed framework can be easily integrated within any healthcare unit, as well as within entire healthcare systems, due to its flexible and user-friendly approach. It could be part of Six Sigma and other quality initiatives. Although QFD has been extensively deployed in healthcare setup to improve quality of care, very little has been researched on combining QFD and LFA in order to identify issues, prioritise them, derive improvement measures and implement improvement projects. Additionally, there is no research on QFD application in A & E. This paper bridges these gaps. Moreover, very little has been written on the Maltese health care system. Therefore, this study contributes demonstration of quality of emergency care in Malta.

A Review of Concepts from Policy Studies Relevant to the Analysis of EFA in Developing Countries. Create Pathways to Access. Research Monograph No. 11

ERIC Educational Resources Information Center

Lall, Marie

2007-01-01

This paper aims to give an introduction to the central concepts and the literature of Policy Studies in education. The first part of the paper addresses the questions of what policy is. How is it made and why is it relevant? It looks in particular at the role of the state and the Policy cycle framework which is an analytical tool that helps to…

META: Multi-resolution Framework for Event Summarization

DTIC Science & Technology

2014-05-01

designated by other documentation. 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS ( ES ) U.S. Army Research Office P.O. Box 12211 Research Triangle...storage by removing the lower lev- els of the description nodes. The pruned tree still contains enough details for analysis, and an analyst who analyzes a...similar to the ‘projec- tion’ in relational algebra . It is a unary operator written as Πe(1),e(2),...,e(k)(F). The operation is defined as picking the

Introduction to the Security Engineering Risk Analysis (SERA) Framework

DTIC Science & Technology

2014-11-01

military aircraft has increased from 8% to 80%. At the same time, the size of software in military aircraft has grown from 1,000 lines of code in the F...4A to 1.7 million lines of code in the F-22. This growth trend is expected to con- tinue over time [NASA 2009]. As software exerts more control of...their root causes can be traced to the software’s requirements, architecture, design, or code . Studies have shown that the cost of addressing a software

Social responsibility of nursing: a global perspective.

PubMed

Tyer-Viola, Lynda; Nicholas, Patrice K; Corless, Inge B; Barry, Donna M; Hoyt, Pamela; Fitzpatrick, Joyce J; Davis, Sheila M

2009-05-01

This study addresses social responsibility in the discipline of nursing and implications for global health. The concept of social responsibility is explicated and its relevance for nursing is examined, grounded in the American Nurses Association Code of Ethics and the International Council of Nurses Code of Ethics. Social justice, human rights, nurse migration, and approaches to nursing education are discussed within the framework of nursing's social responsibility. Strategies for addressing nursing workforce issues and education within a framework of social responsibility are explored.

A framework for developing rural academic general practices: a qualitative case study in rural Victoria.

PubMed

Brown, J B; Morrison, Tracy; Bryant, Melanie; Kassell, Lisa; Nestel, Debra

2015-01-01

There is increasing pressure for Australian rural general practices to engage in educational delivery as a means of addressing workforce issues and accommodating substantial increases in learners. For practices that have now developed a strong focus on education, there is the challenge to complement this by engaging in research activity. This study develops a rural academic general practice framework to assist rural practices in developing both comprehensive educational activity and a strong research focus thus moving towards functioning as mature academic units. A case study research design was used with the unit of analysis at the level of the rural general practice. Purposively sampled practices were recruited and individual interviews conducted with staff (supervisors, practice managers, nurses), learners (medical students, interns and registrars) and patients. Three practices hosted 'multi-level learners', two practices hosted one learner group and one had no learners. Forty-four individual interviews were conducted with staff, learners and patients. Audio recordings were transcribed for thematic analysis. After initial inductive coding, deductive analysis was undertaken with reference to recent literature and the expertise of the research team resulting in the rural academic general practice framework. Three key themes emerged with embedded subthemes. For the first theme, organisational considerations, subthemes were values/vision/culture, patient population and clinical services, staffing, physical infrastructure/equipment, funding streams and governance. For the second theme, educational considerations, subthemes were processes, clinical supervision, educational networks and learner presence. Third, for research considerations, there were the subthemes of attitude to research and research activity. The framework maps the development of a rural academic practice across these themes in four progressive stages: beginning, emerging, consolidating and established. The data enabled a framework to be constructed to map rural general practice activity with respect to activity characteristic of an academic general practice. The framework offers guidance to practices seeking to transition towards becoming a mature academic practice. The framework also offers guidance to educational institutions and funding bodies to support the development of academic activity in rural general practices. The strengths and limitations of the study design are outlined.

A Computational Framework for Quantitative Evaluation of Movement during Rehabilitation

NASA Astrophysics Data System (ADS)

Chen, Yinpeng; Duff, Margaret; Lehrer, Nicole; Sundaram, Hari; He, Jiping; Wolf, Steven L.; Rikakis, Thanassis

2011-06-01

This paper presents a novel generalized computational framework for quantitative kinematic evaluation of movement in a rehabilitation clinic setting. The framework integrates clinical knowledge and computational data-driven analysis together in a systematic manner. The framework provides three key benefits to rehabilitation: (a) the resulting continuous normalized measure allows the clinician to monitor movement quality on a fine scale and easily compare impairments across participants, (b) the framework reveals the effect of individual movement components on the composite movement performance helping the clinician decide the training foci, and (c) the evaluation runs in real-time, which allows the clinician to constantly track a patient's progress and make appropriate adaptations to the therapy protocol. The creation of such an evaluation is difficult because of the sparse amount of recorded clinical observations, the high dimensionality of movement and high variations in subject's performance. We address these issues by modeling the evaluation function as linear combination of multiple normalized kinematic attributes y = Σwiφi(xi) and estimating the attribute normalization function φi(ṡ) by integrating distributions of idealized movement and deviated movement. The weights wi are derived from a therapist's pair-wise comparison using a modified RankSVM algorithm. We have applied this framework to evaluate upper limb movement for stroke survivors with excellent results—the evaluation results are highly correlated to the therapist's observations.

Developing a national framework for safe drinking water--case study from Iceland.

PubMed

Gunnarsdottir, Maria J; Gardarsson, Sigurdur M; Bartram, Jamie

2015-03-01

Safe drinking water is one of the fundaments of society and experience has shown that a holistic national framework is needed for its effective provision. A national framework should include legal requirements on water protection, surveillance on drinking water quality and performance of the water supply system, and systematic preventive management. Iceland has implemented these requirements into legislation. This case study analyzes the success and challenges encountered in implementing the legislation and provide recommendations on the main shortcomings identified through the Icelandic experience. The results of the analysis show that the national framework for safe drinking water is mostly in place in Iceland. The shortcomings include the need for both improved guidance and control by the central government; and for improved surveillance of the water supply system and implementation of the water safety plan by the Local Competent Authorities. Communication to the public and between stakeholders is also insufficient. There is also a deficiency in the national framework regarding small water supply systems that needs to be addressed. Other elements are largely in place or on track. Most of the lessons learned are transferable to other European countries where the legal system around water safety is built on a common foundation from EU directives. The lessons can also provide valuable insights into how to develop a national framework elsewhere. Copyright © 2014 Elsevier GmbH. All rights reserved.

Big data and high-performance analytics in structural health monitoring for bridge management

NASA Astrophysics Data System (ADS)

Alampalli, Sharada; Alampalli, Sandeep; Ettouney, Mohammed

2016-04-01

Structural Health Monitoring (SHM) can be a vital tool for effective bridge management. Combining large data sets from multiple sources to create a data-driven decision-making framework is crucial for the success of SHM. This paper presents a big data analytics framework that combines multiple data sets correlated with functional relatedness to convert data into actionable information that empowers risk-based decision-making. The integrated data environment incorporates near real-time streams of semi-structured data from remote sensors, historical visual inspection data, and observations from structural analysis models to monitor, assess, and manage risks associated with the aging bridge inventories. Accelerated processing of dataset is made possible by four technologies: cloud computing, relational database processing, support from NOSQL database, and in-memory analytics. The framework is being validated on a railroad corridor that can be subjected to multiple hazards. The framework enables to compute reliability indices for critical bridge components and individual bridge spans. In addition, framework includes a risk-based decision-making process that enumerate costs and consequences of poor bridge performance at span- and network-levels when rail networks are exposed to natural hazard events such as floods and earthquakes. Big data and high-performance analytics enable insights to assist bridge owners to address problems faster.

The Mutable Nature of Risk and Acceptability: A Hybrid Risk Governance Framework.

PubMed

Wong, Catherine Mei Ling

2015-11-01

This article focuses on the fluid nature of risk problems and the challenges it presents to establishing acceptability in risk governance. It introduces an actor-network theory (ANT) perspective as a way to deal with the mutable nature of risk controversies and the configuration of stakeholders. To translate this into a practicable framework, the article proposes a hybrid risk governance framework that combines ANT with integrative risk governance, deliberative democracy, and responsive regulation. This addresses a number of the limitations in existing risk governance models, including: (1) the lack of more substantive public participation throughout the lifecycle of a project; (2) hijacking of deliberative forums by particular groups; and (3) the treatment of risk problems and their associated stakeholders as immutable entities. The framework constitutes a five-stage process of co-selection, co-design, co-planning, and co-regulation to facilitate the co-production of collective interests and knowledge, build capacities, and strengthen accountability in the process. The aims of this article are twofold: conceptually, it introduces a framework of risk governance that accounts for the mutable nature of risk problems and configuration of stakeholders. In practice, this article offers risk managers and practitioners of risk governance a set of procedures with which to operationalize this conceptual approach to risk and stakeholder engagement. © 2015 Society for Risk Analysis.

A science of integration: frameworks, processes, and products in a place-based, integrative study

USGS Publications Warehouse

Kliskey, Andrew; Alessa, Lilian; Wandersee, Sarah; Williams, Paula; Trammell, Jamie; Powell, Jim; Grunblatt, Jess; Wipfli, Mark S.

2017-01-01

Integrative research is increasingly a priority within the scientific community and is a central goal for the evolving field of sustainability science. While it is conceptually attractive, its successful implementation has been challenging and recent work suggests that the move towards interdisciplinarity and transdisciplinarity in sustainability science is being only partially realized. To address this from the perspective of social-ecological systems (SES) research, we examine the process of conducting a science of integration within the Southcentral Alaska Test Case (SCTC) of Alaska-EPSCoR as a test-bed for this approach. The SCTC is part of a large, 5 year, interdisciplinary study investigating changing environments and adaptations to those changes in Alaska. In this paper, we review progress toward a science of integration and present our efforts to confront the practical issues of applying proposed integration frameworks. We: (1) define our integration framework; (2) describe the collaborative processes, including the co-development of science through stakeholder engagement and partnerships; and (3) illustrate potential products of integrative, social-ecological systems research. The approaches we use can also be applied outside of this particular framework. We highlight challenges and propose improvements for integration in sustainability science by addressing the need for common frameworks and improved contextual understanding. These insights may be useful for capacity-building for interdisciplinary projects that address complex real-world social and environmental problems.

Using a supportive care framework to understand and improve palliative care among cancer patients in Africa.

PubMed

Busolo, David S; Woodgate, Roberta L

2016-06-01

Cancer incidence and mortality are increasing in Africa, which is leading to greater demands for palliative care. There has been little progress in terms of research, pain management, and policies related to palliative care. Palliative care in Africa is scarce and scattered, with most African nations lacking the basic services. To address these needs, a guiding framework that identifies care needs and directs palliative care services could be utilized. Therefore, using the supportive care framework developed by Fitch (Fitch, 2009), we here review the literature on palliative care for patients diagnosed with cancer in Africa and make recommendations for improvement. The PubMed, Scopus, CINAHL, Web of Science, Embase, PsycINFO, Social Sciences Citation Index, and Medline databases were searched. Some 25 English articles on research from African countries published between 2004 and 2014 were selected and reviewed. The reviewed literature was analyzed and presented using the domains of the supportive care framework. Palliative care patients with cancer in Africa, their families, and caregivers experience increasing psychological, physical, social, spiritual, emotional, informational, and practical needs. Care needs are often inadequately addressed because of a lack of awareness as well as deficient and scattered palliative care services and resources. In addition, there is sparse research, education, and policies that address the dire situation in palliative care. Our review findings add to the existing body of knowledge demonstrating that palliative care patients with cancer in Africa experience disturbing care needs in all domains of the supportive care framework. To better assess and address these needs, holistic palliative care that is multidomain and multi-professional could be utilized. This approach needs to be individualized and to offer better access to services and information. In addition, research, education, and policies around palliative care for cancer patients in Africa could be more comprehensive if they were based on the domains of the supportive care framework.

Soliciting scientific information and beliefs in predictive modeling and adaptive management

NASA Astrophysics Data System (ADS)

Glynn, P. D.; Voinov, A. A.; Shapiro, C. D.

2015-12-01

Post-normal science requires public engagement and adaptive corrections in addressing issues with high complexity and uncertainty. An adaptive management framework is presented for the improved management of natural resources and environments through a public participation process. The framework solicits the gathering and transformation and/or modeling of scientific information but also explicitly solicits the expression of participant beliefs. Beliefs and information are compared, explicitly discussed for alignments or misalignments, and ultimately melded back together as a "knowledge" basis for making decisions. An effort is made to recognize the human or participant biases that may affect the information base and the potential decisions. In a separate step, an attempt is made to recognize and predict the potential "winners" and "losers" (perceived or real) of any decision or action. These "winners" and "losers" include present human communities with different spatial, demographic or socio-economic characteristics as well as more dispersed or more diffusely characterized regional or global communities. "Winners" and "losers" may also include future human communities as well as communities of other biotic species. As in any adaptive management framework, assessment of predictions, iterative follow-through and adaptation of policies or actions is essential, and commonly very difficult or impossible to achieve. Recognizing beforehand the limits of adaptive management is essential. More generally, knowledge of the behavioral and economic sciences and of ethics and sociology will be key to a successful implementation of this adaptive management framework. Knowledge of biogeophysical processes will also be essential, but by definition of the issues being addressed, will always be incomplete and highly uncertain. The human dimensions of the issues addressed and the participatory processes used carry their own complexities and uncertainties. Some ideas and principles are provided that may help guide and implement the proposed adaptive management framework and its public and stakeholder engagement processes. Examples and characteristics of issues that could be beneficially addressed through the proposed framework will also be presented.

Social challenges when implementing information systems in everyday work in a nursing context.

PubMed

Nilsson, Lina; Eriksén, Sara; Borg, Christel

2014-09-01

Implementation of information systems in healthcare has become a lengthy process where healthcare staff (eg, nurses) are expected to put information into systems without getting the overall picture of the potential usefulness for their own work. The aim of this study was to explore social challenges when implementing information systems in everyday work in a nursing context. Moreover, this study aimed at putting perceived social challenges in a theoretical framework to address them more constructively when implementing information systems in healthcare. Influenced by institutional ethnography, the findings are based on interviews, observations, and written reflections. Power (changing the existing hierarchy, alienation), professional identity (calling on hold, expert becomes novice, changed routines), and encounter (ignorant introductions, preconceived notions) were categories (subcategories) presented in the findings. Social Cognitive Theory, Diffusion of Innovations, organizational culture, and dramaturgical analysis are proposed to set up a theoretical framework. If social challenges are not considered and addressed in the implementation process, it will be affected by nurses' solidarity to existing power structures and their own professional identity. Thus, implementation of information systems affects more aspects in the organization than might have been intended. These aspects need to be taken in to account in the implementation process.

A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences

PubMed Central

Zhu, Youding; Fujimura, Kikuo

2010-01-01

This paper addresses the problem of accurate and robust tracking of 3D human body pose from depth image sequences. Recovering the large number of degrees of freedom in human body movements from a depth image sequence is challenging due to the need to resolve the depth ambiguity caused by self-occlusions and the difficulty to recover from tracking failure. Human body poses could be estimated through model fitting using dense correspondences between depth data and an articulated human model (local optimization method). Although it usually achieves a high accuracy due to dense correspondences, it may fail to recover from tracking failure. Alternately, human pose may be reconstructed by detecting and tracking human body anatomical landmarks (key-points) based on low-level depth image analysis. While this method (key-point based method) is robust and recovers from tracking failure, its pose estimation accuracy depends solely on image-based localization accuracy of key-points. To address these limitations, we present a flexible Bayesian framework for integrating pose estimation results obtained by methods based on key-points and local optimization. Experimental results are shown and performance comparison is presented to demonstrate the effectiveness of the proposed approach. PMID:22399933

An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit).

PubMed

Yusof, Maryati Mohd; Kuljis, Jasna; Papazafeiropoulou, Anastasia; Stergioulas, Lampros K

2008-06-01

The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, human and organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, human, organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies. HOT-fit builds on previous models of IS evaluation--in particular, the IS Success Model and the IT-Organization Fit Model. This paper introduces the new framework for HIS evaluation that incorporates comprehensive dimensions and measures of HIS and provides a technological, human and organizational fit. Literature review on HIS and IS evaluation studies and pilot testing of developed framework. The framework was used to evaluate a Fundus Imaging System (FIS) of a primary care organization in the UK. The case study was conducted through observation, interview and document analysis. The main findings show that having the right user attitude and skills base together with good leadership, IT-friendly environment and good communication can have positive influence on the system adoption. Comprehensive, specific evaluation factors, dimensions and measures in the new framework (HOT-fit) are applicable in HIS evaluation. The use of such a framework is argued to be useful not only for comprehensive evaluation of the particular FIS system under investigation, but potentially also for any Health Information System in general.

Developing a framework for community-based sexual health interventions for youth in the rural setting: protocol for a participatory action research study

PubMed Central

Heslop, Carl William; Burns, Sharyn; Lobo, Roanna; McConigley, Ruth

2017-01-01

Introduction There is limited research examining community-based or multilevel interventions that address the sexual health of young people in the rural Australian context. This paper describes the Participatory Action Research (PAR) project that will develop and validate a framework that is effective for planning, implementing and evaluating multilevel community-based sexual health interventions for young people aged 16–24 years in the Australian rural setting. Methods and analysis To develop a framework for sexual health interventions with stakeholders, PAR will be used. Three PAR cycles will be conducted, using semistructured one-on-one interviews, focus groups, community mapping and photovoice to inform the development of a draft framework. Cycle 2 and Cycle 3 will use targeted Delphi studies to gather evaluation and feedback on the developed draft framework. All data collected will be reviewed and analysed in detail and coded as concepts become apparent at each stage of the process. Ethics and dissemination This protocol describes a supervised doctoral research project. This project seeks to contribute to the literature regarding PAR in the rural setting and the use of the Delphi technique within PAR projects. The developed framework as a result of the project will provide a foundation for further research testing the application of the framework in other settings and health areas. This research has received ethics approval from the Curtin University Human Research and Ethics Committee (HR96/2015). PMID:28559453

A criteria and indicators monitoring framework for food forestry embedded in the principles of ecological restoration.

PubMed

Park, Hyeone; Higgs, Eric

2018-02-02

Food forestry is a burgeoning practice in North America, representing a strong multifunctional approach that combines agriculture, forestry, and ecological restoration. The Galiano Conservancy Association (GCA), a community conservation, restoration, and educational organization on Galiano Island, British Columbia in Canada, recently has created two food forests on their protected forested lands: one with primarily non-native species and the other comprising native species. These projects, aimed at food production, education, and promotion of local food security and sustainability, are also intended to contribute to the overall ecological integrity of the landscape. Monitoring is essential for assessing how effectively a project is meeting its goal and thus informing its adaptive management. Yet, presently, there are no comprehensive monitoring frameworks for food forestry available. To fill this need, this study developed a generic Criteria and Indicators (C&I) monitoring framework for food forestry, embedded in ecological restoration principles, by employing qualitative content analysis of 61 literature resources and semi-structured interviews with 16 experts in the fields of food forestry and ecological restoration. The generic C&I framework comprises 14 criteria, 39 indicators, and 109 measures and is intended to guide a comprehensive and systematic assessment for food forest projects. The GCA adapted the generic C&I framework to develop a customized monitoring framework. The Galiano C&I monitoring framework has comprehensive suite of monitoring parameters, which are collectively address multiple values and goals.

Advanced Computational Framework for Environmental Management ZEM, Version 1.x

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

Vesselinov, Velimir V.; O'Malley, Daniel; Pandey, Sachin

2016-11-04

Typically environmental management problems require analysis of large and complex data sets originating from concurrent data streams with different data collection frequencies and pedigree. These big data sets require on-the-fly integration into a series of models with different complexity for various types of model analyses where the data are applied as soft and hard model constraints. This is needed to provide fast iterative model analyses based on the latest available data to guide decision-making. Furthermore, the data and model are associated with uncertainties. The uncertainties are probabilistic (e.g. measurement errors) and non-probabilistic (unknowns, e.g. alternative conceptual models characterizing site conditions).more » To address all of these issues, we have developed an integrated framework for real-time data and model analyses for environmental decision-making called ZEM. The framework allows for seamless and on-the-fly integration of data and modeling results for robust and scientifically-defensible decision-making applying advanced decision analyses tools such as Bayesian- Information-Gap Decision Theory (BIG-DT). The framework also includes advanced methods for optimization that are capable of dealing with a large number of unknown model parameters, and surrogate (reduced order) modeling capabilities based on support vector regression techniques. The framework is coded in Julia, a state-of-the-art high-performance programing language (http://julialang.org). The ZEM framework is open-source and can be applied to any environmental management site. The framework will be open-source and released under GPL V3 license.« less

A framework for developing foresight in natural resource management

Treesearch

Kay E. Strong

2012-01-01

This paper describes a fundamental framework for anticipating and influencing the future that has been used to prepare professional futurists at the University of Houston for more than 35 years. The overview of the framework addresses how futures researchers organize information about changes in the world (e.g., by defining the domain, or scope, of the forecasting...

A Framework for the Design and Integration of Collaborative Classroom Games

ERIC Educational Resources Information Center

Echeverria, Alejandro; Garcia-Campo, Cristian; Nussbaum, Miguel; Gil, Francisca; Villalta, Marco; Amestica, Matias; Echeverria, Sebastian

2011-01-01

The progress registered in the use of video games as educational tools has not yet been successfully transferred to the classroom. In an attempt to close this gap, a framework was developed that assists in the design and classroom integration of educational games. The framework addresses both the educational dimension and the ludic dimension. The…

From Best Practice to Best Fit: A Framework for Designing and Analyzing Pluralistic Agricultural Advisory Services Worldwide

ERIC Educational Resources Information Center

Birner, Regina; Davis, Kristin; Pender, John; Nkonya, Ephraim; Anandajayasekeram, Ponniah; Ekboir, Javier; Mbabu, Adiel; Spielman, David J.; Horna, Daniela; Benin, Samuel; Cohen, Marc

2009-01-01

The article provides a conceptual framework and discusses research methods for analyzing pluralistic agricultural advisory services. The framework can also assist policy-makers in identifying reform options. It addresses the following question: Which forms of providing and financing agricultural advisory services work best in which situation? The…

An Assessment of External Organizational Marketing at Naval Aviation Depot (NADEP) North Island

DTIC Science & Technology

2005-12-01

organizational marketing. In his book "A Framework for Marketing Management," marketing expert Philip Kotler addresses marketing as it applies to...3 Kotler , Philip , A Framework for Marketing Management (Second Edition), Pearson Education, Inc...56 Kotler , Philip , A Framework for Marketing Management (Second Edition), Pearson Education, Inc. 2003. 64 strengthening its

At-Risk Urban Students and College Success: A Framework for Effective Preparation.

ERIC Educational Resources Information Center

Jun, Alexander; Tierney, William G.

1999-01-01

Changes in higher-education policy make it harder for underrepresented minorities in urban environments to gain access to or succeed in higher education. A framework is offered for effective college preparation programs to address the unique needs of low-income, urban minority youth. The framework focuses on development of both academic and…

The Influence of Social Background on Participation in Adult Education:Applying the Cultural Capital Framework

ERIC Educational Resources Information Center

Cincinnato, Sebastiano; De Wever, Bram; Van Keer, Hilde; Valcke, Martin

2016-01-01

In this article, we address the issue of participation in adult education building on the cultural capital framework. This theoretical framework suggests that (educational) practices are affected by one's social background and, more precisely, by the cultural resources handed down in the family context. To examine the validity of this theoretical…

Evolution of natural history information in the 21st century – developing an integrated framework for biological and geographical data

USGS Publications Warehouse

Reusser, Deborah A.; Lee, Henry

2011-01-01

Threats to marine and estuarine species operate over many spatial scales, from nutrient enrichment at the watershed/estuarine scale to invasive species and climate change at regional and global scales. To help address research questions across these scales, we provide here a standardized framework for a biogeographical information system containing queriable biological data that allows extraction of information on multiple species, across a variety of spatial scales based on species distributions, natural history attributes and habitat requirements. As scientists shift from research on localized impacts on individual species to regional and global scale threats, macroecological approaches of studying multiple species over broad geographical areas are becoming increasingly important. The standardized framework described here for capturing and integrating biological and geographical data is a critical first step towards addressing these macroecological questions and we urge organizations capturing biogeoinformatics data to consider adopting this framework.

A threat intelligence framework for access control security in the oil industry

NASA Astrophysics Data System (ADS)

Alaskandrani, Faisal T.

The research investigates the problem raised by the rapid development in the technology industry giving security concerns in facilities built by the energy industry containing diverse platforms. The difficulty of continuous updates to network security architecture and assessment gave rise to the need to use threat intelligence frameworks to better assess and address networks security issues. Focusing on access control security to the ICS and SCADA systems that is being utilized to carry out mission critical and life threatening operations. The research evaluates different threat intelligence frameworks that can be implemented in the industry seeking the most suitable and applicable one that address the issue and provide more security measures. The validity of the result is limited to the same environment that was researched as well as the technologies being utilized. The research concludes that it is possible to utilize a Threat Intelligence framework to prioritize security in Access Control Measures in the Oil Industry.

Determination of Sustainment Requirements for Operations by the U.S. Military in an Ice-free Arctic Using the Tenets of Operational Art

DTIC Science & Technology

2012-05-04

human activity , and national security. A framework to address the changing Arctic exists within the U.S. government and U.S. military, but it is not mature. This paper performs an analysis of preparations made to date by the U.S. government and U.S. military for operations in an ice-free Arctic. The analysis revealed that the approach employed by the U.S. military consists of three tiers: promulgating strategic guidance, identifying missions and capability gaps, and gleaning lessons learned from exercises and war gaming. This approach has yielded benefits, but it is

Substance misuse prevention and economic analysis: challenges and opportunities regarding international utility.

PubMed

Guyll, Max; Spoth, Richard; Cornish, Marilyn A

2012-01-01

Economic analyses of substance misuse prevention assess the intervention cost necessary to achieve a particular outcome, and thereby provide an additional dimension for evaluating prevention programming. This article reviews several types of economic analysis, considers how they can be applied to substance misuse prevention, and discusses challenges to enhancing their international relevance, particularly their usefulness for informing policy decisions. Important first steps taken to address these challenges are presented, including the disease burden concept and the development of generalized cost-effectiveness, advances that facilitate international policy discussions by providing a common framework for evaluating health care needs and program effects.

Development of data processing interpretation and analysis system for the remote sensing of trace atmospheric gas species

NASA Technical Reports Server (NTRS)

Casas, J. C.; Koziana, J. V.; Saylor, M. S.; Kindle, E. C.

1982-01-01

Problems associated with the development of the measurement of air pollution from satellites (MAPS) experiment program are addressed. The primary thrust of this research was the utilization of the MAPS experiment data in three application areas: low altitude aircraft flights (one to six km); mid altitude aircraft flights (eight to 12 km); and orbiting space platforms. Extensive research work in four major areas of data management was the framework for implementation of the MAPS experiment technique. These areas are: (1) data acquisition; (2) data processing, analysis and interpretation algorithms; (3) data display techniques; and (4) information production.

National Laboratory Planning: Developing Sustainable Biocontainment Laboratories in Limited Resource Areas.

PubMed

Yeh, Kenneth B; Adams, Martin; Stamper, Paul D; Dasgupta, Debanjana; Hewson, Roger; Buck, Charles D; Richards, Allen L; Hay, John

2016-01-01

Strategic laboratory planning in limited resource areas is essential for addressing global health security issues. Establishing a national reference laboratory, especially one with BSL-3 or -4 biocontainment facilities, requires a heavy investment of resources, a multisectoral approach, and commitments from multiple stakeholders. We make the case for donor organizations and recipient partners to develop a comprehensive laboratory operations roadmap that addresses factors such as mission and roles, engaging national and political support, securing financial support, defining stakeholder involvement, fostering partnerships, and building trust. Successful development occurred with projects in African countries and in Azerbaijan, where strong leadership and a clear management framework have been key to success. A clearly identified and agreed management framework facilitate identifying the responsibility for developing laboratory capabilities and support services, including biosafety and biosecurity, quality assurance, equipment maintenance, supply chain establishment, staff certification and training, retention of human resources, and sustainable operating revenue. These capabilities and support services pose rate-limiting yet necessary challenges. Laboratory capabilities depend on mission and role, as determined by all stakeholders, and demonstrate the need for relevant metrics to monitor the success of the laboratory, including support for internal and external audits. Our analysis concludes that alternative frameworks for success exist for developing and implementing capabilities at regional and national levels in limited resource areas. Thus, achieving a balance for standardizing practices between local procedures and accepted international standards is a prerequisite for integrating new facilities into a country's existing public health infrastructure and into the overall international scientific community.

A bottom-up robust optimization framework for identifying river basin development pathways under deep climate uncertainty

NASA Astrophysics Data System (ADS)

Taner, M. U.; Ray, P.; Brown, C.

2016-12-01

Hydroclimatic nonstationarity due to climate change poses challenges for long-term water infrastructure planning in river basin systems. While designing strategies that are flexible or adaptive hold intuitive appeal, development of well-performing strategies requires rigorous quantitative analysis that address uncertainties directly while making the best use of scientific information on the expected evolution of future climate. Multi-stage robust optimization (RO) offers a potentially effective and efficient technique for addressing the problem of staged basin-level planning under climate change, however the necessity of assigning probabilities to future climate states or scenarios is an obstacle to implementation, given that methods to reliably assign probabilities to future climate states are not well developed. We present a method that overcomes this challenge by creating a bottom-up RO-based framework that decreases the dependency on probability distributions of future climate and rather employs them after optimization to aid selection amongst competing alternatives. The iterative process yields a vector of `optimal' decision pathways each under the associated set of probabilistic assumptions. In the final phase, the vector of optimal decision pathways is evaluated to identify the solutions that are least sensitive to the scenario probabilities and are most-likely conditional on the climate information. The framework is illustrated for the planning of new dam and hydro-agricultural expansions projects in the Niger River Basin over a 45-year planning period from 2015 to 2060.

Sensitivity of decomposition rates of soil organic matter with respect to simultaneous changes in temperature and moisture

NASA Astrophysics Data System (ADS)

Sierra, Carlos A.; Trumbore, Susan E.; Davidson, Eric A.; Vicca, Sara; Janssens, I.

2015-03-01

The sensitivity of soil organic matter decomposition to global environmental change is a topic of prominent relevance for the global carbon cycle. Decomposition depends on multiple factors that are being altered simultaneously as a result of global environmental change; therefore, it is important to study the sensitivity of the rates of soil organic matter decomposition with respect to multiple and interacting drivers. In this manuscript, we present an analysis of the potential response of decomposition rates to simultaneous changes in temperature and moisture. To address this problem, we first present a theoretical framework to study the sensitivity of soil organic matter decomposition when multiple driving factors change simultaneously. We then apply this framework to models and data at different levels of abstraction: (1) to a mechanistic model that addresses the limitation of enzyme activity by simultaneous effects of temperature and soil water content, the latter controlling substrate supply and oxygen concentration for microbial activity; (2) to different mathematical functions used to represent temperature and moisture effects on decomposition in biogeochemical models. To contrast model predictions at these two levels of organization, we compiled different data sets of observed responses in field and laboratory studies. Then we applied our conceptual framework to: (3) observations of heterotrophic respiration at the ecosystem level; (4) laboratory experiments looking at the response of heterotrophic respiration to independent changes in moisture and temperature; and (5) ecosystem-level experiments manipulating soil temperature and water content simultaneously.

A New Framework for Effective and Efficient Global Sensitivity Analysis of Earth and Environmental Systems Models

NASA Astrophysics Data System (ADS)

Razavi, Saman; Gupta, Hoshin

2015-04-01

Earth and Environmental Systems (EES) models are essential components of research, development, and decision-making in science and engineering disciplines. With continuous advances in understanding and computing power, such models are becoming more complex with increasingly more factors to be specified (model parameters, forcings, boundary conditions, etc.). To facilitate better understanding of the role and importance of different factors in producing the model responses, the procedure known as 'Sensitivity Analysis' (SA) can be very helpful. Despite the availability of a large body of literature on the development and application of various SA approaches, two issues continue to pose major challenges: (1) Ambiguous Definition of Sensitivity - Different SA methods are based in different philosophies and theoretical definitions of sensitivity, and can result in different, even conflicting, assessments of the underlying sensitivities for a given problem, (2) Computational Cost - The cost of carrying out SA can be large, even excessive, for high-dimensional problems and/or computationally intensive models. In this presentation, we propose a new approach to sensitivity analysis that addresses the dual aspects of 'effectiveness' and 'efficiency'. By effective, we mean achieving an assessment that is both meaningful and clearly reflective of the objective of the analysis (the first challenge above), while by efficiency we mean achieving statistically robust results with minimal computational cost (the second challenge above). Based on this approach, we develop a 'global' sensitivity analysis framework that efficiently generates a newly-defined set of sensitivity indices that characterize a range of important properties of metric 'response surfaces' encountered when performing SA on EES models. Further, we show how this framework embraces, and is consistent with, a spectrum of different concepts regarding 'sensitivity', and that commonly-used SA approaches (e.g., Sobol, Morris, etc.) are actually limiting cases of our approach under specific conditions. Multiple case studies are used to demonstrate the value of the new framework. The results show that the new framework provides a fundamental understanding of the underlying sensitivities for any given problem, while requiring orders of magnitude fewer model runs.

An Official American Thoracic Society Workshop Report. A Framework for Addressing Multimorbidity in Clinical Practice Guidelines for Pulmonary Disease, Critical Illness, and Sleep Disorders.

PubMed

Wilson, Kevin C; Gould, Michael K; Krishnan, Jerry A; Boyd, Cynthia M; Brozek, Jan L; Cooke, Colin R; Douglas, Ivor S; Goodman, Richard A; Joo, Min J; Lareau, Suzanne; Mularski, Richard A; Patel, Minal R; Rosenfeld, Richard M; Shanawani, Hasan; Slatore, Christopher; Sockrider, Marianna; Sufian, Beth; Thomson, Carey C; Wiener, Renda Soylemez

2016-03-01

Coexistence of multiple chronic conditions (i.e., multimorbidity) is the most common chronic health problem in adults. However, clinical practice guidelines have primarily focused on patients with a single disease, resulting in uncertainty about the care of patients with multimorbidity. The American Thoracic Society convened a workshop with the goal of establishing a strategy to address multimorbidity within clinical practice guidelines. In this Workshop Report, we describe a framework that addresses multimorbidity in each of the key steps of guideline development: topic selection, panel composition, identifying clinical questions, searching for and synthesizing evidence, rating the quality of that evidence, summarizing benefits and harms, formulating recommendations, and rating the strength of the recommendations. For the consideration of multimorbidity in guidelines to be successful and sustainable, the process must be both feasible and pragmatic. It is likely that this will be achieved best by the step-wise addition and refinement of the various components of the framework.

Addressing public health risks for cyanobacteria in recreational freshwaters: the Oregon and Vermont framework.

PubMed

Stone, David; Bress, William

2007-01-01

Toxigenic cyanobacteria, commonly known as blue green algae, are an emerging public health issue. The toxins produced by cyanobacteria have been detected across the United States in marine, freshwater and estuarine systems and associated with adverse health outcomes. The intent of this paper is to focus on how to address risk in a recreational freshwater scenario when toxigenic cyanobacteria are present. Several challenges exist for monitoring, assessing and posting water bodies and advising the public when toxigenic cyanobacteria are present. These include addressing different recreational activities that are associated with varying levels of risk, the dynamic temporal and spatial aspects of blooms, data gaps in toxicological information and the lack of training and resources for adequate surveillance. Without uniform federal guidance, numerous states have taken public health action for cyanobacteria with different criteria. Vermont and Oregon independently developed a tiered decision-making framework to reduce risk to recreational users when toxigenic cyanobacteria are present. This framework is based on a combination of qualitative and quantitative information.

Statistical tools for analysis and modeling of cosmic populations and astronomical time series: CUDAHM and TSE

NASA Astrophysics Data System (ADS)

Loredo, Thomas; Budavari, Tamas; Scargle, Jeffrey D.

2018-01-01

This presentation provides an overview of open-source software packages addressing two challenging classes of astrostatistics problems. (1) CUDAHM is a C++ framework for hierarchical Bayesian modeling of cosmic populations, leveraging graphics processing units (GPUs) to enable applying this computationally challenging paradigm to large datasets. CUDAHM is motivated by measurement error problems in astronomy, where density estimation and linear and nonlinear regression must be addressed for populations of thousands to millions of objects whose features are measured with possibly complex uncertainties, potentially including selection effects. An example calculation demonstrates accurate GPU-accelerated luminosity function estimation for simulated populations of $10^6$ objects in about two hours using a single NVIDIA Tesla K40c GPU. (2) Time Series Explorer (TSE) is a collection of software in Python and MATLAB for exploratory analysis and statistical modeling of astronomical time series. It comprises a library of stand-alone functions and classes, as well as an application environment for interactive exploration of times series data. The presentation will summarize key capabilities of this emerging project, including new algorithms for analysis of irregularly-sampled time series.

Conceptual framework for patient-important treatment outcomes for pelvic organ prolapse.

PubMed

Sung, Vivian W; Rogers, Rebecca G; Barber, Matthew D; Clark, Melissa A

2014-04-01

To develop a comprehensive conceptual framework representing the most important outcomes for women seeking treatment for pelvic organ prolapse (POP). Twenty-five women with POP were recruited and participated in four semi-structured focus groups to refine and assess the content validity of a conceptual framework representing patient-important outcomes for POP. Specifically, the focus groups addressed the following three aims: (1) to evaluate the content and appropriateness of domains in our framework; (2) to identify gaps in the framework; and (3) to determine the relative importance of our framework domains from the patient perspective. Sessions were transcribed, coded, and qualitatively and quantitatively analyzed using analytic induction and deductive analysis to identify themes and domains relevant to women with POP. Our focus groups confirmed the importance of vaginal bulge symptoms (discomfort, bother, and adaptation), and the overarching domains and subdomains of physical (physical function and participation), social (social function, relationships, and sexual function), and mental health (emotional distress, preoccupation, and body image). Patients ranked outcomes in the following order of importance: (1) the resolution of vaginal bulge symptoms, (2) improvement in physical function; (3) improvement in sexual function; (4) improvement in body image perception; and (5) improvement in social function. We developed a conceptual framework for patient important outcomes of women seeking treatment for POP. This framework can improve the transparency and interpretation of POP study findings from the patient perspective. Vaginal bulge and its associated discomfort are most important for the definition of POP treatment success from the patient perspective. © 2013 Wiley Periodicals, Inc.

Health services research evaluation principles. Broadening a general framework for evaluating health information technology.

PubMed

Sockolow, P S; Crawford, P R; Lehmann, H P

2012-01-01

Our forthcoming national experiment in increased health information technology (HIT) adoption funded by the American Recovery and Reinvestment Act of 2009 will require a comprehensive approach to evaluating HIT. The quality of evaluation studies of HIT to date reveals a need for broader evaluation frameworks that limits the generalizability of findings and the depth of lessons learned. Develop an informatics evaluation framework for health information technology (HIT) integrating components of health services research (HSR) evaluation and informatics evaluation to address identified shortcomings in available HIT evaluation frameworks. A systematic literature review updated and expanded the exhaustive review by Ammenwerth and deKeizer (AdK). From retained studies, criteria were elicited and organized into classes within a framework. The resulting Health Information Technology Research-based Evaluation Framework (HITREF) was used to guide clinician satisfaction survey construction, multi-dimensional analysis of data, and interpretation of findings in an evaluation of a vanguard community health care EHR. The updated review identified 128 electronic health record (EHR) evaluation studies and seven evaluation criteria not in AdK: EHR Selection/Development/Training; Patient Privacy Concerns; Unintended Consequences/ Benefits; Functionality; Patient Satisfaction with EHR; Barriers/Facilitators to Adoption; and Patient Satisfaction with Care. HITREF was used productively and was a complete evaluation framework which included all themes that emerged. We can recommend to future EHR evaluators that they consider adding a complete, research-based HIT evaluation framework, such as HITREF, to their evaluation tools suite to monitor HIT challenges as the federal government strives to increase HIT adoption.

Asymptotics with a positive cosmological constant: I. Basic framework

NASA Astrophysics Data System (ADS)

Ashtekar, Abhay; Bonga, Béatrice; Kesavan, Aruna

2015-01-01

The asymptotic structure of the gravitational field of isolated systems has been analyzed in great detail in the case when the cosmological constant Λ is zero. The resulting framework lies at the foundation of research in diverse areas in gravitational science. Examples include: (i) positive energy theorems in geometric analysis; (ii) the coordinate invariant characterization of gravitational waves in full, nonlinear general relativity; (iii) computations of the energy-momentum emission in gravitational collapse and binary mergers in numerical relativity and relativistic astrophysics; and (iv) constructions of asymptotic Hilbert spaces to calculate S-matrices and analyze the issue of information loss in the quantum evaporation of black holes. However, by now observations have led to a strong consensus that Λ is positive in our universe. In this paper we show that, unfortunately, the standard framework does not extend from the Λ =0 case to the Λ \\gt 0 case in a physically useful manner. In particular, we do not have positive energy theorems, nor an invariant notion of gravitational waves in the nonlinear regime, nor asymptotic Hilbert spaces in dynamical situations of semi-classical gravity. A suitable framework to address these conceptual issues of direct physical importance is developed in subsequent papers.

Interventional radiology virtual simulator for liver biopsy.

PubMed

Villard, P F; Vidal, F P; ap Cenydd, L; Holbrey, R; Pisharody, S; Johnson, S; Bulpitt, A; John, N W; Bello, F; Gould, D

2014-03-01

Training in Interventional Radiology currently uses the apprenticeship model, where clinical and technical skills of invasive procedures are learnt during practice in patients. This apprenticeship training method is increasingly limited by regulatory restrictions on working hours, concerns over patient risk through trainees' inexperience and the variable exposure to case mix and emergencies during training. To address this, we have developed a computer-based simulation of visceral needle puncture procedures. A real-time framework has been built that includes: segmentation, physically based modelling, haptics rendering, pseudo-ultrasound generation and the concept of a physical mannequin. It is the result of a close collaboration between different universities, involving computer scientists, clinicians, clinical engineers and occupational psychologists. The technical implementation of the framework is a robust and real-time simulation environment combining a physical platform and an immersive computerized virtual environment. The face, content and construct validation have been previously assessed, showing the reliability and effectiveness of this framework, as well as its potential for teaching visceral needle puncture. A simulator for ultrasound-guided liver biopsy has been developed. It includes functionalities and metrics extracted from cognitive task analysis. This framework can be useful during training, particularly given the known difficulties in gaining significant practice of core skills in patients.

A compressive sensing based secure watermark detection and privacy preserving storage framework.

PubMed

Qia Wang; Wenjun Zeng; Jun Tian

2014-03-01

Privacy is a critical issue when the data owners outsource data storage or processing to a third party computing service, such as the cloud. In this paper, we identify a cloud computing application scenario that requires simultaneously performing secure watermark detection and privacy preserving multimedia data storage. We then propose a compressive sensing (CS)-based framework using secure multiparty computation (MPC) protocols to address such a requirement. In our framework, the multimedia data and secret watermark pattern are presented to the cloud for secure watermark detection in a CS domain to protect the privacy. During CS transformation, the privacy of the CS matrix and the watermark pattern is protected by the MPC protocols under the semi-honest security model. We derive the expected watermark detection performance in the CS domain, given the target image, watermark pattern, and the size of the CS matrix (but without the CS matrix itself). The correctness of the derived performance has been validated by our experiments. Our theoretical analysis and experimental results show that secure watermark detection in the CS domain is feasible. Our framework can also be extended to other collaborative secure signal processing and data-mining applications in the cloud.

A Framework for Debugging Geoscience Projects in a High Performance Computing Environment

NASA Astrophysics Data System (ADS)

Baxter, C.; Matott, L.

2012-12-01

High performance computing (HPC) infrastructure has become ubiquitous in today's world with the emergence of commercial cloud computing and academic supercomputing centers. Teams of geoscientists, hydrologists and engineers can take advantage of this infrastructure to undertake large research projects - for example, linking one or more site-specific environmental models with soft computing algorithms, such as heuristic global search procedures, to perform parameter estimation and predictive uncertainty analysis, and/or design least-cost remediation systems. However, the size, complexity and distributed nature of these projects can make identifying failures in the associated numerical experiments using conventional ad-hoc approaches both time- consuming and ineffective. To address these problems a multi-tiered debugging framework has been developed. The framework allows for quickly isolating and remedying a number of potential experimental failures, including: failures in the HPC scheduler; bugs in the soft computing code; bugs in the modeling code; and permissions and access control errors. The utility of the framework is demonstrated via application to a series of over 200,000 numerical experiments involving a suite of 5 heuristic global search algorithms and 15 mathematical test functions serving as cheap analogues for the simulation-based optimization of pump-and-treat subsurface remediation systems.

Systems theory as a framework for examining a college campus-based support program for the former foster youth.

PubMed

Schelbe, Lisa; Randolph, Karen A; Yelick, Anna; Cheatham, Leah P; Groton, Danielle B

2018-01-01

Increased attention to former foster youth pursuing post-secondary education has resulted in the creation of college campus based support programs to address their need. However, limited empirical evidence and theoretical knowledge exist about these programs. This study seeks to describe the application of systems theory as a framework for examining a college campus based support program for former foster youth. In-depth semi-structured interviews were conducted with 32 program stakeholders including students, mentors, collaborative members, and independent living program staff. Using qualitative data analysis software, holistic coding techniques were employed to analyze interview transcripts. Then applying principles of extended case method using systems theory, data were analyzed. Findings suggest systems theory serves as a framework for understanding the functioning of a college campus based support program. The theory's concepts help delineate program components and roles of stakeholders; outline boundaries between and interactions among stakeholders; and identify program strengths and weakness. Systems theory plays an important role in identifying intervention components and providing a structure through which to identify and understand program elements as a part of the planning process. This study highlights the utility of systems theory as a framework for program planning and evaluation.

A Mixed Integer Efficient Global Optimization Framework: Applied to the Simultaneous Aircraft Design, Airline Allocation and Revenue Management Problem

NASA Astrophysics Data System (ADS)

Roy, Satadru

Traditional approaches to design and optimize a new system, often, use a system-centric objective and do not take into consideration how the operator will use this new system alongside of other existing systems. This "hand-off" between the design of the new system and how the new system operates alongside other systems might lead to a sub-optimal performance with respect to the operator-level objective. In other words, the system that is optimal for its system-level objective might not be best for the system-of-systems level objective of the operator. Among the few available references that describe attempts to address this hand-off, most follow an MDO-motivated subspace decomposition approach of first designing a very good system and then provide this system to the operator who decides the best way to use this new system along with the existing systems. The motivating example in this dissertation presents one such similar problem that includes aircraft design, airline operations and revenue management "subspaces". The research here develops an approach that could simultaneously solve these subspaces posed as a monolithic optimization problem. The monolithic approach makes the problem a Mixed Integer/Discrete Non-Linear Programming (MINLP/MDNLP) problem, which are extremely difficult to solve. The presence of expensive, sophisticated engineering analyses further aggravate the problem. To tackle this challenge problem, the work here presents a new optimization framework that simultaneously solves the subspaces to capture the "synergism" in the problem that the previous decomposition approaches may not have exploited, addresses mixed-integer/discrete type design variables in an efficient manner, and accounts for computationally expensive analysis tools. The framework combines concepts from efficient global optimization, Kriging partial least squares, and gradient-based optimization. This approach then demonstrates its ability to solve an 11 route airline network problem consisting of 94 decision variables including 33 integer and 61 continuous type variables. This application problem is a representation of an interacting group of systems and provides key challenges to the optimization framework to solve the MINLP problem, as reflected by the presence of a moderate number of integer and continuous type design variables and expensive analysis tool. The result indicates simultaneously solving the subspaces could lead to significant improvement in the fleet-level objective of the airline when compared to the previously developed sequential subspace decomposition approach. In developing the approach to solve the MINLP/MDNLP challenge problem, several test problems provided the ability to explore performance of the framework. While solving these test problems, the framework showed that it could solve other MDNLP problems including categorically discrete variables, indicating that the framework could have broader application than the new aircraft design-fleet allocation-revenue management problem.

A Conceptual Framework for SAHRA Integrated Multi-resolution Modeling in the Rio Grande Basin

NASA Astrophysics Data System (ADS)

Liu, Y.; Gupta, H.; Springer, E.; Wagener, T.; Brookshire, D.; Duffy, C.

2004-12-01

The sustainable management of water resources in a river basin requires an integrated analysis of the social, economic, environmental and institutional dimensions of the problem. Numerical models are commonly used for integration of these dimensions and for communication of the analysis results to stakeholders and policy makers. The National Science Foundation Science and Technology Center for Sustainability of semi-Arid Hydrology and Riparian Areas (SAHRA) has been developing integrated multi-resolution models to assess impacts of climate variability and land use change on water resources in the Rio Grande Basin. These models not only couple natural systems such as surface and ground waters, but will also include engineering, economic and social components that may be involved in water resources decision-making processes. This presentation will describe the conceptual framework being developed by SAHRA to guide and focus the multiple modeling efforts and to assist the modeling team in planning, data collection and interpretation, communication, evaluation, etc. One of the major components of this conceptual framework is a Conceptual Site Model (CSM), which describes the basin and its environment based on existing knowledge and identifies what additional information must be collected to develop technically sound models at various resolutions. The initial CSM is based on analyses of basin profile information that has been collected, including a physical profile (e.g., topographic and vegetative features), a man-made facility profile (e.g., dams, diversions, and pumping stations), and a land use and ecological profile (e.g., demographics, natural habitats, and endangered species). Based on the initial CSM, a Conceptual Physical Model (CPM) is developed to guide and evaluate the selection of a model code (or numerical model) for each resolution to conduct simulations and predictions. A CPM identifies, conceptually, all the physical processes and engineering and socio-economic activities occurring (or to occur) in the real system that the corresponding numerical models are required to address, such as riparian evapotranspiration responses to vegetation change and groundwater pumping impacts on soil moisture contents. Simulation results from different resolution models and observations of the real system will then be compared to evaluate the consistency among the CSM, the CPMs, and the numerical models, and feedbacks will be used to update the models. In a broad sense, the evaluation of the models (conceptual or numerical), as well as the linkages between them, can be viewed as a part of the overall conceptual framework. As new data are generated and understanding improves, the models will evolve, and the overall conceptual framework is refined. The development of the conceptual framework becomes an on-going process. We will describe the current state of this framework and the open questions that have to be addressed in the future.

Maternal Decision-making During Pregnancy: Parental Obligations and Cultural Differences.

PubMed

Malek, Janet

2017-08-01

Decision-making during pregnancy can be ethically complex. This paper offers a framework for maternal decision-making and clinical counseling that can be used to approach such decisions in a systematic way. Three fundamental questions are addressed: (1) Who should make decisions? (2) How should decisions be made? and (3) What is the role of the clinician? The proposed framework emphasizes the decisional authority of the pregnant woman. It draws ethical support from the concept of a good parent and the requirements of parental obligations. It also describes appropriate counseling methods for clinicians in light of those parental obligations. Finally, the paper addresses how cultural differences may shape the framework's guidance of maternal decision-making during pregnancy. Copyright © 2017. Published by Elsevier Ltd.

Theory and Practice of Pediatric Bioethics.

PubMed

Ross, Lainie Friedman

2016-01-01

This article examines two typical bioethics frameworks: the "Four Principles" by Beauchamp and Childress, and the "Four Boxes" by Jonsen, Siegler, and Winslade. I show how they are inadequate to address the ethical issues raised by pediatrics, in part because they do not pay adequate attention to families. I then consider an alternate framework proposed by Buchanan and Brock that focuses on four questions that must be addressed for the patient who lacks decisional capacity. This model also does not give adequate respect for the family, particularly the intimate family. I then describe my own framework, which provides answers to Buchanan and Brock's four questions in a way that is consistent with the intimate family and its need for protection from state intervention.

Worksite Stress Management Interventions.

ERIC Educational Resources Information Center

Ivancevich, John M.; And Others

1990-01-01

Presents a framework used for viewing stress and organizational stress interventions. Reviews the stress management intervention literature in the context of this framework. Provides examples of corporations committed to stress management programs. Identifies future needs appropriate for organizational psychologists to address. (Author/JS)

CLASSIFICATION FRAMEWORK FOR COASTAL ECOSYSTEM RESPONSES TO AQUATIC STRESSORS

EPA Science Inventory

Many classification schemes have been developed to group ecosystems based on similar characteristics. To date, however, no single scheme has addressed coastal ecosystem responses to multiple stressors. We developed a classification framework for coastal ecosystems to improve the ...

Multiskill Research.

ERIC Educational Resources Information Center

Porter, Alan L.; Rossini, Frederick A.

1986-01-01

Crossdisciplinary research plays a major role in addressing any problems of intellectual and societal importance. A framework to characterize such projects that replices "discipline" by "intellectual skills" is described. This framework is then applied to the study of 40 National Science Foundation-sponsored projects. (JN)

Adaptive Leadership Framework for Chronic Illness

PubMed Central

Anderson, Ruth A.; Bailey, Donald E.; Wu, Bei; Corazzini, Kirsten; McConnell, Eleanor S.; Thygeson, N. Marcus; Docherty, Sharron L.

2015-01-01

We propose the Adaptive Leadership Framework for Chronic Illness as a novel framework for conceptualizing, studying, and providing care. This framework is an application of the Adaptive Leadership Framework developed by Heifetz and colleagues for business. Our framework views health care as a complex adaptive system and addresses the intersection at which people with chronic illness interface with the care system. We shift focus from symptoms to symptoms and the challenges they pose for patients/families. We describe how providers and patients/families might collaborate to create shared meaning of symptoms and challenges to coproduce appropriate approaches to care. PMID:25647829

A network-based framework for assessing infrastructure resilience: a case study of the London metro system.

PubMed

Chopra, Shauhrat S; Dillon, Trent; Bilec, Melissa M; Khanna, Vikas

2016-05-01

Modern society is increasingly dependent on the stability of a complex system of interdependent infrastructure sectors. It is imperative to build resilience of large-scale infrastructures like metro systems for addressing the threat of natural disasters and man-made attacks in urban areas. Analysis is needed to ensure that these systems are capable of withstanding and containing unexpected perturbations, and develop heuristic strategies for guiding the design of more resilient networks in the future. We present a comprehensive, multi-pronged framework that analyses information on network topology, spatial organization and passenger flow to understand the resilience of the London metro system. Topology of the London metro system is not fault tolerant in terms of maintaining connectivity at the periphery of the network since it does not exhibit small-world properties. The passenger strength distribution follows a power law, suggesting that while the London metro system is robust to random failures, it is vulnerable to disruptions on a few critical stations. The analysis further identifies particular sources of structural and functional vulnerabilities that need to be mitigated for improving the resilience of the London metro network. The insights from our framework provide useful strategies to build resilience for both existing and upcoming metro systems. © 2016 The Author(s).

JAMS - a software platform for modular hydrological modelling

NASA Astrophysics Data System (ADS)

Kralisch, Sven; Fischer, Christian

2015-04-01

Current challenges of understanding and assessing the impacts of climate and land use changes on environmental systems demand for an ever-increasing integration of data and process knowledge in corresponding simulation models. Software frameworks that allow for a seamless creation of integrated models based on less complex components (domain models, process simulation routines) have therefore gained increasing attention during the last decade. JAMS is an Open-Source software framework that has been especially designed to cope with the challenges of eco-hydrological modelling. This is reflected by (i) its flexible approach for representing time and space, (ii) a strong separation of process simulation components from the declarative description of more complex models using domain specific XML, (iii) powerful analysis and visualization functions for spatial and temporal input and output data, and (iv) parameter optimization and uncertainty analysis functions commonly used in environmental modelling. Based on JAMS, different hydrological and nutrient-transport simulation models were implemented and successfully applied during the last years. We will present the JAMS core concepts and give an overview of models, simulation components and support tools available for that framework. Sample applications will be used to underline the advantages of component-based model designs and to show how JAMS can be used to address the challenges of integrated hydrological modelling.

Bridging the semantic gap in sports

NASA Astrophysics Data System (ADS)

Li, Baoxin; Errico, James; Pan, Hao; Sezan, M. Ibrahim

2003-01-01

One of the major challenges facing current media management systems and the related applications is the so-called "semantic gap" between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media. In this paper, we address the problem of bridging this gap in the sports domain. We propose a general framework for indexing and summarizing sports broadcast programs. The framework is based on a high-level model of sports broadcast video using the concept of an event, defined according to domain-specific knowledge for different types of sports. Within this general framework, we develop automatic event detection algorithms that are based on automatic analysis of the visual and aural signals in the media. We have successfully applied the event detection algorithms to different types of sports including American football, baseball, Japanese sumo wrestling, and soccer. Event modeling and detection contribute to the reduction of the semantic gap by providing rudimentary semantic information obtained through media analysis. We further propose a novel approach, which makes use of independently generated rich textual metadata, to fill the gap completely through synchronization of the information-laden textual data with the basic event segments. An MPEG-7 compliant prototype browsing system has been implemented to demonstrate semantic retrieval and summarization of sports video.

Interagency Modeling Atmospheric Assessment Center Local Jurisdiction: IMAAC Operations Framework

DTIC Science & Technology

2010-03-01

Richard Bergin Robert Josefek i REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information...Edward J. Dadosky 5. FUNDING NUMBERS 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943-5000 8...PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING /MONITORING AGENCY NAME(S) AND ADDRESS(ES) N/A 10. SPONSORING/MONITORING AGENCY REPORT

A Framework of Organizational Empowerment for Strategic Military Leaders

DTIC Science & Technology

2012-03-22

Empowerment, Performance , and Satisfaction ,” The Academy of Management Journal 47, no. 3 (June 2004): 332. 63 Ibid, 333. 64 Ibid, 334. 65 Ibid, 335. 66...5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT...military culture. The person with authoritative power may make unilateral decisions or involve participation by stakeholders. Victor Vroom from Yale

Information Power Grid: Distributed High-Performance Computing and Large-Scale Data Management for Science and Engineering

NASA Technical Reports Server (NTRS)

Johnston, William E.; Gannon, Dennis; Nitzberg, Bill; Feiereisen, William (Technical Monitor)

2000-01-01

The term "Grid" refers to distributed, high performance computing and data handling infrastructure that incorporates geographically and organizationally dispersed, heterogeneous resources that are persistent and supported. The vision for NASN's Information Power Grid - a computing and data Grid - is that it will provide significant new capabilities to scientists and engineers by facilitating routine construction of information based problem solving environments / frameworks that will knit together widely distributed computing, data, instrument, and human resources into just-in-time systems that can address complex and large-scale computing and data analysis problems. IPG development and deployment is addressing requirements obtained by analyzing a number of different application areas, in particular from the NASA Aero-Space Technology Enterprise. This analysis has focussed primarily on two types of users: The scientist / design engineer whose primary interest is problem solving (e.g., determining wing aerodynamic characteristics in many different operating environments), and whose primary interface to IPG will be through various sorts of problem solving frameworks. The second type of user if the tool designer: The computational scientists who convert physics and mathematics into code that can simulate the physical world. These are the two primary users of IPG, and they have rather different requirements. This paper describes the current state of IPG (the operational testbed), the set of capabilities being put into place for the operational prototype IPG, as well as some of the longer term R&D tasks.

Estimating National-scale Emissions using Dense Monitoring Networks

NASA Astrophysics Data System (ADS)

Ganesan, A.; Manning, A.; Grant, A.; Young, D.; Oram, D.; Sturges, W. T.; Moncrieff, J. B.; O'Doherty, S.

2014-12-01

The UK's DECC (Deriving Emissions linked to Climate Change) network consists of four greenhouse gas measurement stations that are situated to constrain emissions from the UK and Northwest Europe. These four stations are located in Mace Head (West Coast of Ireland), and on telecommunication towers at Ridge Hill (Western England), Tacolneston (Eastern England) and Angus (Eastern Scotland). With the exception of Angus, which currently only measures carbon dioxide (CO2) and methane (CH4), the remaining sites are additionally equipped to monitor nitrous oxide (N2O). We present an analysis of the network's CH4 and N2O observations from 2011-2013 and compare derived top-down regional emissions with bottom-up inventories, including a recently produced high-resolution inventory (UK National Atmospheric Emissions Inventory). As countries are moving toward national-level emissions estimation, we also address some of the considerations that need to be made when designing these national networks. One of the novel aspects of this work is that we use a hierarchical Bayesian inversion framework. This methodology, which has newly been applied to greenhouse gas emissions estimation, is designed to estimate temporally and spatially varying model-measurement uncertainties and correlation scales, in addition to fluxes. Through this analysis, we demonstrate the importance of characterizing these covariance parameters in order to properly use data from high-density monitoring networks. This UK case study highlights the ways in which this new inverse framework can be used to address some of the limitations of traditional Bayesian inverse methods.

Conservation genomics of natural and managed populations: building a conceptual and practical framework.

PubMed

Benestan, Laura Marilyn; Ferchaud, Anne-Laure; Hohenlohe, Paul A; Garner, Brittany A; Naylor, Gavin J P; Baums, Iliana Brigitta; Schwartz, Michael K; Kelley, Joanna L; Luikart, Gordon

2016-07-01

The boom of massive parallel sequencing (MPS) technology and its applications in conservation of natural and managed populations brings new opportunities and challenges to meet the scientific questions that can be addressed. Genomic conservation offers a wide range of approaches and analytical techniques, with their respective strengths and weaknesses that rely on several implicit assumptions. However, finding the most suitable approaches and analysis regarding our scientific question are often difficult and time-consuming. To address this gap, a recent workshop entitled 'ConGen 2015' was held at Montana University in order to bring together the knowledge accumulated in this field and to provide training in conceptual and practical aspects of data analysis applied to the field of conservation and evolutionary genomics. Here, we summarize the expertise yield by each instructor that has led us to consider the importance of keeping in mind the scientific question from sampling to management practices along with the selection of appropriate genomics tools and bioinformatics challenges. © 2016 John Wiley & Sons Ltd.

L.E.A.D.: A Framework for Evidence Gathering and Use for the Prevention of Obesity and Other Complex Public Health Problems

ERIC Educational Resources Information Center

Chatterji, Madhabi; Green, Lawrence W.; Kumanyika, Shiriki

2014-01-01

This article summarizes a comprehensive, systems-oriented framework designed to improve the use of a wide variety of evidence sources to address population-wide obesity problems. The L.E.A.D. framework (for "Locate" the evidence, "Evaluate" the evidence, "Assemble" the evidence, and inform "Decisions"),…

Applying the Visitor Experience and Resource Protection (VERP) framework to cultural resources in the national parks

Treesearch

William Valliere; Robert Manning

2003-01-01

The National Park Service has developed the Visitor Experience and Resource Protection (VERP) framework for addressing carrying capacity in the National Parks. This framework has been successfully applied to natural and recreational resources in diverse units of the National Park System. However, most units of the National Park System also contain significant cultural...

Finding the loopholes: a cross-sectional qualitative study of systemic barriers to treatment access for women drug court participants.

PubMed

Morse, Diane S; Silverstein, Jennifer; Thomas, Katherine; Bedel, Precious; Cerulli, Catherine

2015-12-01

Therapeutic diversion courts seek to address justice-involved participants' underlying problems leading to their legal system involvement, including substance use disorder, psychiatric illness, and intimate partner violence. The courts have not addressed systemic hurdles, which can contribute to a cycle of substance use disorder and recidivism, which in turn hinder health and wellness. The study purpose is to explore the systemic issues faced by women participants in drug treatment court from multiple perspectives to understand how these issues may relate to health and wellness in their lives. Qualitative thematic framework analysis of five separate focus groups consisting of female drug treatment court participants, community providers, and court staff ( n = 25). Themes were mapped across the socio-ecological framework and contextualized according to social determinants of health. Numerous systemic factors impacted women's access to treatment. Laws and legal policies (governance) excluded those who could potentially have benefitted from therapeutic court and did not allow consideration of parenting issues. Macroeconomic policies limit housing options for those with convictions. Social policies limited transportation, education, and employment options. Public policies limited healthcare and social protection and ability to access available resources. Culture and societal values, including stigma, limited treatment options. By understanding the social determinant of health for women in drug treatment court and stakeholder's perceptions, the legal system can implement public policy to better address the health needs of women drug court participants.

Using an ecological ethics framework to make decisions about the relocation of wildlife

USGS Publications Warehouse

McCoy, E.D.; Berry, K.

2008-01-01

Relocation is an increasingly prominent conservation tool for a variety of wildlife, but the technique also is controversial, even among conservation practitioners. An organized framework for addressing the moral dilemmas often accompanying conservation actions such as relocation has been lacking. Ecological ethics may provide such a framework and appears to be an important step forward in aiding ecological researchers and biodiversity managers to make difficult moral choices. A specific application of this framework can make the reasoning process more transparent and give more emphasis to the strong sentiments about non-human organisms held by many potential users. Providing an example of the application of the framework may also increase the appeal of the reasoning process to ecological researchers and biodiversity managers. Relocation as a conservation action can be accompanied by a variety of moral dilemmas that reflect the interconnection of values, ethical positions, and conservation decisions. A model that is designed to address moral dilemmas arising from relocation of humans provides/demonstrates/illustrates a possible way to apply the ecological ethics framework and to involve practicing conservationists in the overall decision-making process. ?? 2008 Springer Science+Business Media B.V.

Environmental cost-effectiveness analysis in intertemporal natural resource policy: evaluation of selective fishing gear.

PubMed

Kronbak, Lone Grønbæk; Vestergaard, Niels

2013-12-15

In most decision-making involving natural resources, the achievements of a given policy (e.g., improved ecosystem or biodiversity) are rather difficult to measure in monetary units. To address this problem, the current paper develops an environmental cost-effectiveness analysis (ECEA) to include intangible benefits in intertemporal natural resource problems. This approach can assist managers in prioritizing management actions as least cost solutions to achieve quantitative policy targets. The ECEA framework is applied to a selective gear policy case in Danish mixed trawl fisheries in Kattegat and Skagerrak. The empirical analysis demonstrates how a policy with large negative net benefits might be justified if the intangible benefits are included. Copyright © 2013 Elsevier Ltd. All rights reserved.

Statistical Learning Analysis in Neuroscience: Aiming for Transparency

PubMed Central

Hanke, Michael; Halchenko, Yaroslav O.; Haxby, James V.; Pollmann, Stefan

2009-01-01

Encouraged by a rise of reciprocal interest between the machine learning and neuroscience communities, several recent studies have demonstrated the explanatory power of statistical learning techniques for the analysis of neural data. In order to facilitate a wider adoption of these methods, neuroscientific research needs to ensure a maximum of transparency to allow for comprehensive evaluation of the employed procedures. We argue that such transparency requires “neuroscience-aware” technology for the performance of multivariate pattern analyses of neural data that can be documented in a comprehensive, yet comprehensible way. Recently, we introduced PyMVPA, a specialized Python framework for machine learning based data analysis that addresses this demand. Here, we review its features and applicability to various neural data modalities. PMID:20582270

Measurement and monitoring of safety: impact and challenges of putting a conceptual framework into practice.

PubMed

Chatburn, Eleanor; Macrae, Carl; Carthey, Jane; Vincent, Charles

2018-03-06

The Measurement and Monitoring of Safety Framework provides a conceptual model to guide organisations in assessing safety. The Health Foundation funded a large-scale programme to assess the value and impact of applying the Framework in regional and frontline care settings. We explored the experiences and reflections of key participants in the programme. The study was conducted in the nine healthcare organisations in England and Scotland testing the Framework (three regional improvement bodies, six frontline settings). Post hoc interviews with clinical and managerial staff were analysed using template analysis. Participants reported that the Framework promoted a substantial shift in their thinking about how safety is actively managed in their environment. It provided a common language, facilitated a more inquisitive approach and encouraged a more holistic view of the components of safety. These changes in conceptual understanding, however, did not always translate into broader changes in practice, with many sites only addressing some aspects of the Framework. One of the three regions did embrace the Framework in its entirety and achieved wider impact with a range of interventions. This region had committed leaders who took time to fully understand the concepts, who maintained a flexible approach to exploring the utility of the Framework and who worked with frontline staff to translate the concepts for local settings. The Measuring and Monitoring of Safety Framework has the potential to support a broader and richer approach to organisational safety. Such a conceptually based initiative requires both committed leaders who themselves understand the concepts and more time to establish understanding and aims than might be needed in a standard improvement programme. © 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.

Methods for heat transfer and temperature field analysis of the insulated diesel phase 2 progress report

NASA Technical Reports Server (NTRS)

Morel, T.; Kerlbar, R.; Fort, E. F.; Blumberg, P. N.

1985-01-01

This report describes work done during Phase 2 of a 3 year program aimed at developing a comprehensive heat transfer and thermal analysis methodology for design analysis of insulated diesel engines. The overall program addresses all the key heat transfer issues: (1) spatially and time-resolved convective and radiative in-cylinder heat transfer, (2) steady-state conduction in the overall structure, and (3) cyclical and load/speed temperature transients in the engine structure. During Phase 2, radiation heat transfer model was developed, which accounts for soot formation and burn up. A methodology was developed for carrying out the multi-dimensional finite-element heat conduction calculations within the framework of thermodynamic cycle codes. Studies were carried out using the integrated methodology to address key issues in low heat rejection engines. A wide ranging design analysis matrix was covered, including a variety of insulation strategies, recovery devices and base engine configurations. A single cylinder Cummins engine was installed at Purdue University, and it was brought to a full operational status. The development of instrumentation was continued, concentrating on radiation heat flux detector, total heat flux probe, and accurate pressure-crank angle data acquisition.

Variation tolerant SoC design

NASA Astrophysics Data System (ADS)

Kozhikkottu, Vivek J.

The scaling of integrated circuits into the nanometer regime has led to variations emerging as a primary concern for designers of integrated circuits. Variations are an inevitable consequence of the semiconductor manufacturing process, and also arise due to the side-effects of operation of integrated circuits (voltage, temperature, and aging). Conventional design approaches, which are based on design corners or worst-case scenarios, leave designers with an undesirable choice between the considerable overheads associated with over-design and significantly reduced manufacturing yield. Techniques for variation-tolerant design at the logic, circuit and layout levels of the design process have been developed and are in commercial use. However, with the incessant increase in variations due to technology scaling and design trends such as near-threshold computing, these techniques are no longer sufficient to contain the effects of variations, and there is a need to address variations at all stages of design. This thesis addresses the problem of variation-tolerant design at the earliest stages of the design process, where the system-level design decisions that are made can have a very significant impact. There are two key aspects to making system-level design variation-aware. First, analysis techniques must be developed to project the impact of variations on system-level metrics such as application performance and energy. Second, variation-tolerant design techniques need to be developed to absorb the residual impact of variations (that cannot be contained through lower-level techniques). In this thesis, we address both these facets by developing robust and scalable variation-aware analysis and variation mitigation techniques at the system level. The first contribution of this thesis is a variation-aware system-level performance analysis framework. We address the key challenge of translating the per-component clock frequency distributions into a system-level application performance distribution. This task is particularly complex and challenging due to the inter-dependencies between components' execution, indirect effects of shared resources, and interactions between multiple system-level "execution paths". We argue that accurate variation-aware performance analysis requires Monte-Carlo based repeated system execution. Our proposed analysis framework leverages emulation to significantly speedup performance analysis without sacrificing the generality and accuracy achieved by Monte-Carlo based simulations. Our experiments show performance improvements of around 60x compared to state-of-the-art hardware-software co-simulation tools and also underscore the framework's potential to enable variation-aware design and exploration at the system level. Our second contribution addresses the problem of designing variation-tolerant SoCs using recovery based design, a popular circuit design paradigm that addresses variations by eliminating guard-bands and operating circuits at close to "zero margins" while detecting and recovering from timing errors. While previous efforts have demonstrated the potential benefits of recovery based design, we identify several challenges that need to be addressed in order to apply this technique to SoCs. We present a systematic design framework to apply recovery based design at the system level. We propose to partition SoCs into "recovery islands", wherein each recovery island consists of one or more SoC components that can recover independent of the rest of the SoC. We present a variation-aware design methodology that partitions a given SoC into recovery islands and computes the optimal operating points for each island, taking into account the various trade-offs involved. Our experiments demonstrate that the proposed design framework achieves an average of 32% energy savings over conventional worst-case designs, with negligible losses in performance. The third contribution of this thesis introduces disproportionate allocation of shared system resources as a means to combat the adverse impact of within-die variations on multi-core platforms. For multi-threaded programs executing on variation-impacted multi-cores platforms, we make the key observation that thread performance is not only a function of the frequency of the core on which it is executing on, but also depends upon the amount of shared system resources allocated to it. We utilize this insight to design a variation-aware runtime scheme which allocates the ways of a last-level shared L2 cache amongst the different cores/threads of a multi-core platform taking into account both application characteristics as well as chip specific variation profiles. Our experiments on 100 quad-core chips, each with a distinct variation profile, shows on an average 15% performance improvements for a suite of multi-threaded benchmarks. Our final contribution investigates the variation-tolerant design of domain-specific accelerators and demonstrates how the unique architectural properties of these accelerators can be leveraged to create highly effective variation tolerance mechanisms. We explore this concept through the variation-tolerant design of a vector processor that efficiently executes applications from the domains of recognition, mining and synthesis (RMS). We develop a novel design approach for variation tolerance, which leverages the unique nature of the vector reduction operations performed by this processor to effectively predict and preempt the occurrence of timing errors under variations and subsequently restore the correct output at the end of each vector reduction operation. We implement the above predict, preempt and restore operations by suitably enhancing the processor hardware and the application software and demonstrate considerable energy benefits (on an average 32%) across six applications from the domains of RMS. In conclusion, our work provides system designers with powerful tools and mechanisms in their efforts to combat variations, resulting in improved designer productivity and variation-tolerant systems.

An Open Data Platform in the framework of the EGI-LifeWatch Competence Center

NASA Astrophysics Data System (ADS)

Aguilar Gómez, Fernando; de Lucas, Jesús Marco; Yaiza Rodríguez Marrero, Ana

2016-04-01

The working pilot of an Open Data Platform supporting the full data cycle in research is presented. It aims to preserve knowledge explicitly, starting with the description of the Case Studies, and integrating data and software management and preservation on equal basis. The uninterrupted support in the chain starts at the data acquisition level and covers up to the support for reuse and publication in an open framework, providing integrity and provenance controls. The Lifewatch Open Science Framework is a pilot web portal developed in collaboration with different commercial companies that tries to enrich and integrate different data lifecycle-related tools in order to address the management of the different steps: data planning, gathering, storing, curation, preservation, sharing, discovering, etc. To achieve this goal, the platform includes the following features: -Data Management Planning. Tool to set up an structure of the data, including what data will be generated, how it will be exploited, re-used, curated, preserved, etc. It has a semantic approach: includes reference to ontologies in order to express what data will be gathered. -Close to instrumentation. The portal includes a distributed storage system that can be used both for storing data from instruments and output data from analysis. All that data can be shared -Analysis. Resources from EGI Federated Cloud are accessible within the portal, so that users can exploit computing resources to perform analysis and other processes, including workflows. -Preservation. Data can be preserved in different systems and DOIs can be minted not only for datasets but also for software, DMPs, etc. The presentation will show the different components of the framework as well as how it can be extrapolated to other communities.

Improving Teaching Quality and the Learning Organisation

ERIC Educational Resources Information Center

Collie, Sarah L.; Taylor, Alton L.

2004-01-01

This study applied a learning organisation framework to understand academic departments' efforts to improve teaching quality. The theoretical framework was generated from literature on learning organisations, organisations devoted to continuous improvement through continuous learning. Research questions addressed relationships among departments'…

Committees and Conflict: Developing a Conflict Resolution Framework.

ERIC Educational Resources Information Center

Spaulding, Angela

2002-01-01

Describes development of conflict-resolution framework to address committee conflict. Describes several conflict-resolution strategies. Matches appropriate strategies with different types of committee conflict. For example, compromise is listed at the appropriate strategy to resolve interpersonal conflict. (Contains 24 references.) (PKP)

Incorporating Contaminant Bioavailability into Sediment Quality Assessment Frameworks

EPA Science Inventory

The recently adopted sediment quality assessment framework for evaluating bay and estuarine sediments in the State of California incorporates bulk sediment chemistry as a key line of evidence(LOE) but does not address the bioavailability of measured contaminants. Thus, the chemis...

Development of Implicit Methods in CFD NASA Ames Research Center 1970's - 1980's

NASA Technical Reports Server (NTRS)

Pulliam, Thomas H.

2010-01-01

The focus here is on the early development (mid 1970's-1980's) at NASA Ames Research Center of implicit methods in Computational Fluid Dynamics (CFD). A class of implicit finite difference schemes of the Beam and Warming approximate factorization type will be addressed. The emphasis will be on the Euler equations. A review of material pertinent to the solution of the Euler equations within the framework of implicit methods will be presented. The eigensystem of the equations will be used extensively in developing a framework for various methods applied to the Euler equations. The development and analysis of various aspects of this class of schemes will be given along with the motivations behind many of the choices. Various acceleration and efficiency modifications such as matrix reduction, diagonalization and flux split schemes will be presented.

Investigating students' academic numeracy in 1st level university courses

NASA Astrophysics Data System (ADS)

Galligan, Linda; Hobohm, Carola

2015-06-01

This paper investigates how an online test (`Self-Test' developed at the University of Southern Queensland) can enrich students' understanding of their academic numeracy, through a purpose-built, self-assessment tool aligned with online modules. Since its creation and evaluation, the tool has been developed and tailored to suit other first year courses based around an academic numeracy framework of competence, confidence and critical awareness (Galligan 2013a). This paper will highlight how the new Self-Test is underpinned by this framework and how students' levels of numeracy can be better understood by the lecturer through Self-Test in a first year nursing for numeracy course and a maths for teachers course. It particularly addresses over- and under-confidence, error analysis and students' reflective comments, and how this understanding can better inform course development and teaching.

Graph Mining Meets the Semantic Web

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

Lee, Sangkeun; Sukumar, Sreenivas R; Lim, Seung-Hwan

The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today, data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, and PageRank). We implement these algorithms as SPARQL queries, wrapped within Python scripts. We evaluatemore » the performance of our implementation on 6 real world data sets and show graph mining algorithms (that have a linear-algebra formulation) can indeed be unleashed on data represented as RDF graphs using the SPARQL query interface.« less

Ethical analysis in public health.

PubMed

Roberts, Marc J; Reich, Michael R

2002-03-23

Public-health regularly encounters serious ethical dilemmas, such as rationing scarce resources, influencing individuals to change their behaviour, and limiting freedom to diminish disease transmission. Yet unlike medical ethics, there is no agreed-upon framework for analysing these difficulties. We offer such a framework. It distinguishes three philosophical views, often invoked in public-health discourse: positions based on outcomes (utilitarianism), positions focused on rights and opportunities (liberalism), and views that emphasise character and virtue (communitarianism). We explore critical variations within each approach, and identify practical problems that arise in addressing the ethical dimensions of health policy. We conclude by examining challenges posed by the feminist argument of ethics-of-care and by postmodern views about the nature of ethics. Health professionals need enhanced skills in applied philosophy to improve the coherence, transparency, and quality of public deliberations over ethical issues inherent in health policy.

Identifying and Addressing Stakeholder Interests in Design Science Research: An Analysis Using Critical Systems Heuristics

NASA Astrophysics Data System (ADS)

Venable, John R.

This paper utilises the Critical Systems Heuristics (CSH) framework developed by Werner Ulrich to critically consider the stakeholders and design goals that should be considered as relevant by researchers conducing Design Science Research (DSR). CSH provides a philosophically and theoretically grounded framework and means for critical consideration of the choices of stakeholders considered to be relevant to any system under design consideration. The paper recommends that legitimately undertaken DSR should include witnesses to represent the interests of the future consumers of the outcomes of DSR, i.e., the future clients, decision makers, professionals, and other non-included stakeholders in the future use of the solution technologies to be invented in DSR. The paper further discusses options for how witnesses might be included, who should be witnessed for and obstacles to implementing the recommendations.

The US federal framework for research on endocrine disrupters and an analysis of research programs supported during fiscal year 1996

USGS Publications Warehouse

Reiter, L.W.; DeRosa, C.; Kavlock, R.J.; Lucier, G.; Mac, M.J.; Melillo, J.; Melnick, R.L.; Sinks, T.; Walton, B.T.

1998-01-01

The potential health and ecological effects of endocrine disrupting chemicals has become a high visibility environmental issue. The 1990s have witnessed a growing concern, both on the part of the scientific community and the public, that environmental chemicals may be causing widespread effects in humans and in a variety of fish and wildlife species. This growing concern led the Committee on the Environment and Natural Resources (CENR) of the National Science and Technology Council to identify the endocrine disrupter issue as a major research initiative in early 1995 and subsequently establish an ad hoc Working Group on Endocrine Disrupters. The objectives of the working group are to 1) develop a planning framework for federal research related to human and ecological health effects of endocrine disrupting chemicals; 2) conduct an inventory of ongoing federal research programs; and 3) identify research gaps and develop a coordinated interagency plan to address priority research needs. This communication summarizes the activities of the federal government in defining a common framework for planning an endocrine disrupter research program and in assessing the status of the current effort. After developing the research framework and compiling an inventory of active research projects supported by the federal government in fiscal year 1996, the CENR working group evaluated the current federal effort by comparing the ongoing activities with the research needs identified in the framework. The analysis showed that the federal government supports considerable research on human health effects, ecological effects, and exposure assessment, with a predominance of activity occurring under human health effects. The analysis also indicates that studies on reproductive development and carcinogenesis are more prevalent than studies on neurotoxicity and immunotoxicity, that mammals (mostly laboratory animals) are the main species under study, and that chlorinated dibenzodioxins and polychlorinated biphenyls are the most commonly studied chemical classes. Comparison of the inventory with the research needs should allow identification of underrepresented research areas in need of attention.

Equity-focused health impact assessment: A tool to assist policy makers in addressing health inequalities

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

Simpson, Sarah; Mahoney, Mary; Harris, Elizabeth

2005-10-15

In Australasia (Australia and New Zealand) the use of health impact assessment (HIA) as a tool for improved policy development is comparatively new. The public health workforce do not routinely assess the potential health and equity impacts of proposed policies or programs. The Australasian Collaboration for Health Equity Impact Assessment was funded to develop a strategic framework for equity-focused HIA (EFHIA) with the intent of strengthening the ways in which equity is addressed in each step of HIA. The collaboration developed a draft framework for EFHIA that mirrored, but modified the commonly accepted steps of HIA; tested the draft frameworkmore » in six different health service delivery settings; analysed the feedback about application of the draft EFHIA framework and modified it accordingly. The strategic framework shows promise in providing a systematic process for identifying potential differential health impacts and assessing the extent to which these are avoidable and unfair. This paper presents the EFHIA framework and discusses some of the issues that arose in the case study sites undertaking equity-focused HIA.« less

An overview of ethical frameworks in public health: can they be supportive in the evaluation of programs to prevent overweight?

PubMed Central

2010-01-01

Background The prevention of overweight sometimes raises complex ethical questions. Ethical public health frameworks may be helpful in evaluating programs or policy for overweight prevention. We give an overview of the purpose, form and contents of such public health frameworks and investigate to which extent they are useful for evaluating programs to prevent overweight and/or obesity. Methods Our search for frameworks consisted of three steps. Firstly, we asked experts in the field of ethics and public health for the frameworks they were aware of. Secondly, we performed a search in Pubmed. Thirdly, we checked literature references in the articles on frameworks we found. In total, we thus found six ethical frameworks. We assessed the area on which the available ethical frameworks focus, the users they target at, the type of policy or intervention they propose to address, and their aim. Further, we looked at their structure and content, that is, tools for guiding the analytic process, the main ethical principles or values, possible criteria for dealing with ethical conflicts, and the concrete policy issues they are applied to. Results All frameworks aim to support public health professionals or policymakers. Most of them provide a set of values or principles that serve as a standard for evaluating policy. Most frameworks articulate both the positive ethical foundations for public health and ethical constraints or concerns. Some frameworks offer analytic tools for guiding the evaluative process. Procedural guidelines and concrete criteria for solving important ethical conflicts in the particular area of the prevention of overweight or obesity are mostly lacking. Conclusions Public health ethical frameworks may be supportive in the evaluation of overweight prevention programs or policy, but seem to lack practical guidance to address ethical conflicts in this particular area. PMID:20969761

An operationalized post-normal science framework for assisting in the development of complex science policy solutions: the case of nanotechnology governance

NASA Astrophysics Data System (ADS)

Bernstein, Michael J.; Foley, Rider W.; Bennett, Ira

2014-07-01

Scientists, engineers, and policy analysts commonly suggest governance regimes for technology to maximize societal benefits and minimize negative societal and environmental impacts of innovation processes. Yet innovation is a complex socio-technical process that does not respond predictably to modification. Our human propensity to exclude complexity when attempting to manage systems often results in insufficient, one-dimensional solutions. The tendency to exclude complexity (1) reinforces itself by diminishing experience and capacity in the design of simple solutions to complex problems, and (2) leads to solutions that do not address the identified problem. To address the question of how to avoid a complexity- exclusion trap, this article operationalizes a post-normal science framework to assist in the enhancement or design of science policy proposals. A literature review of technological fixes, policy panaceas, and knowledge-to-action gaps is conducted to survey examples of post-normal science frameworks. Next, an operational framework is used to assess the case of a proposed international nanotechnology advisory board. The framework reveals that the board addresses a slice of the broader, more complex problem of nanotechnology governance. We argue that while the formation of an international advisory board is not problematic in-and-of-itself, it is symptomatic of and plays into a complexity- exclusion trap. We offer researchers, policy analysts, and decision-makers three recommendations that incorporate a more appropriate level of complexity into governance proposals.

Using concept mapping to mobilize a Black faith community to address HIV

PubMed Central

Szaflarski, Magdalena; Vaughn, Lisa M; McLinden, Daniel; Wess, Yolanda; Ruffner, Andrew

2017-01-01

Research that partners with community stakeholders increases contextual relevance and community buy-in and maximizes the chance for intervention success. Within a framework of an academic-community partnership, this project assessed a Black faith-community’s needs and opportunities to address HIV. We used concept mapping to identify/prioritize specific HIV-related strategies that would be acceptable to congregations. Ninety stakeholders brainstormed strategies to address HIV; 21 sorted strategies into groups and rated their importance and feasibility. Multidimensional scaling and cluster analysis were applied to the sorting to produce maps that illustrated the stakeholders’ conceptual thinking about HIV interventions. Of 278 responses, 93 were used in the sorting task. The visual maps represented eight clusters: church acceptance of people living with HIV; education (most feasible); mobilization and communication; church/leaders’ empowerment; church involvement/collaboration; safety/HIV prevention; media outreach; and, stigma (most important). Concept mapping clarified multifaceted issues of HIV in the Black faith community. The results will guide HIV programming in congregations. PMID:28239439

Conceptual framework for the study of food waste generation and prevention in the hospitality sector.

PubMed

Papargyropoulou, Effie; Wright, Nigel; Lozano, Rodrigo; Steinberger, Julia; Padfield, Rory; Ujang, Zaini

2016-03-01

Food waste has significant detrimental economic, environmental and social impacts. The magnitude and complexity of the global food waste problem has brought it to the forefront of the environmental agenda; however, there has been little research on the patterns and drivers of food waste generation, especially outside the household. This is partially due to weaknesses in the methodological approaches used to understand such a complex problem. This paper proposes a novel conceptual framework to identify and explain the patterns and drivers of food waste generation in the hospitality sector, with the aim of identifying food waste prevention measures. This conceptual framework integrates data collection and analysis methods from ethnography and grounded theory, complemented with concepts and tools from industrial ecology for the analysis of quantitative data. A case study of food waste generation at a hotel restaurant in Malaysia is used as an example to illustrate how this conceptual framework can be applied. The conceptual framework links the biophysical and economic flows of food provisioning and waste generation, with the social and cultural practices associated with food preparation and consumption. The case study demonstrates that food waste is intrinsically linked to the way we provision and consume food, the material and socio-cultural context of food consumption and food waste generation. Food provisioning, food consumption and food waste generation should be studied together in order to fully understand how, where and most importantly why food waste is generated. This understanding will then enable to draw detailed, case specific food waste prevention plans addressing the material and socio-economic aspects of food waste generation. Copyright © 2016 Elsevier Ltd. All rights reserved.

From expert-derived user needs to user-perceived ease of use and usefulness: a two-phase mixed-methods evaluation framework.

PubMed

Boland, Mary Regina; Rusanov, Alexander; So, Yat; Lopez-Jimenez, Carlos; Busacca, Linda; Steinman, Richard C; Bakken, Suzanne; Bigger, J Thomas; Weng, Chunhua

2014-12-01

Underspecified user needs and frequent lack of a gold standard reference are typical barriers to technology evaluation. To address this problem, this paper presents a two-phase evaluation framework involving usability experts (phase 1) and end-users (phase 2). In phase 1, a cross-system functionality alignment between expert-derived user needs and system functions was performed to inform the choice of "the best available" comparison system to enable a cognitive walkthrough in phase 1 and a comparative effectiveness evaluation in phase 2. During phase 2, five quantitative and qualitative evaluation methods are mixed to assess usability: time-motion analysis, software log, questionnaires - System Usability Scale and the Unified Theory of Acceptance of Use of Technology, think-aloud protocols, and unstructured interviews. Each method contributes data for a unique measure (e.g., time motion analysis contributes task-completion-time; software log contributes action transition frequency). The measures are triangulated to yield complementary insights regarding user-perceived ease-of-use, functionality integration, anxiety during use, and workflow impact. To illustrate its use, we applied this framework in a formative evaluation of a software called Integrated Model for Patient Care and Clinical Trials (IMPACT). We conclude that this mixed-methods evaluation framework enables an integrated assessment of user needs satisfaction and user-perceived usefulness and usability of a novel design. This evaluation framework effectively bridges the gap between co-evolving user needs and technology designs during iterative prototyping and is particularly useful when it is difficult for users to articulate their needs for technology support due to the lack of a baseline. Copyright © 2013 Elsevier Inc. All rights reserved.

An Integrated Uncertainty Analysis and Ensemble-based Data Assimilation Framework for Operational Snow Predictions

NASA Astrophysics Data System (ADS)

He, M.; Hogue, T. S.; Franz, K.; Margulis, S. A.; Vrugt, J. A.

2009-12-01

The National Weather Service (NWS), the agency responsible for short- and long-term streamflow predictions across the nation, primarily applies the SNOW17 model for operational forecasting of snow accumulation and melt. The SNOW17-forecasted snowmelt serves as an input to a rainfall-runoff model for streamflow forecasts in snow-dominated areas. The accuracy of streamflow predictions in these areas largely relies on the accuracy of snowmelt. However, no direct snowmelt measurements are available to validate the SNOW17 predictions. Instead, indirect measurements such as snow water equivalent (SWE) measurements or discharge are typically used to calibrate SNOW17 parameters. In addition, the forecast practice is inherently deterministic, lacking tools to systematically address forecasting uncertainties (e.g., uncertainties in parameters, forcing, SWE and discharge observations, etc.). The current research presents an Integrated Uncertainty analysis and Ensemble-based data Assimilation (IUEA) framework to improve predictions of snowmelt and discharge while simultaneously providing meaningful estimates of the associated uncertainty. The IUEA approach uses the recently developed DiffeRential Evolution Adaptive Metropolis (DREAM) to simultaneously estimate uncertainties in model parameters, forcing, and observations. The robustness and usefulness of the IUEA-SNOW17 framework is evaluated for snow-dominated watersheds in the northern Sierra Mountains, using the coupled IUEA-SNOW17 and an operational soil moisture accounting model (SAC-SMA). Preliminary results are promising and indicate successful performance of the coupled IUEA-SNOW17 framework. Implementation of the SNOW17 with the IUEA is straightforward and requires no major modification to the SNOW17 model structure. The IUEA-SNOW17 framework is intended to be modular and transferable and should assist the NWS in advancing the current forecasting system and reinforcing current operational forecasting skill.

Application of the U.S. EPA Mode of Action Framework for Purposes of Guiding Future Research: A Case Study Involving the Oral Carcinogenicity of Hexavalent Chromium

PubMed Central

Thompson, Chad M.; Haws, Laurie C.; Harris, Mark A.; Gatto, Nicole M.; Proctor, Deborah M.

2011-01-01

Mode of action (MOA) analysis provides a systematic description of key events leading to adverse health effects in animal bioassays for the purpose of informing human health risk assessment. Uncertainties and data gaps identified in the MOA analysis may also be used to guide future research to improve understanding of the MOAs underlying a specific toxic response and foster development of toxicokinetic and toxicodynamic models. An MOA analysis, consistent with approaches outlined in the MOA Framework as described in the Guidelines for Carcinogen Risk Assessment, was conducted to evaluate small intestinal tumors observed in mice chronically exposed to relatively high concentrations of hexavalent chromium (Cr(VI)) in drinking water. Based on review of the literature, key events in the MOA are hypothesized to include saturation of the reductive capacity of the upper gastrointestinal tract, absorption of Cr(VI) into the intestinal epithelium, oxidative stress and inflammation, cell proliferation, direct and/or indirect DNA modification, and mutagenesis. Although available data generally support the plausibility of these key events, several unresolved questions and data gaps were identified, highlighting the need for obtaining critical toxicokinetic and toxicodynamic data in the target tissue and in the low-dose range. Experimental assays that can address these data gaps are discussed along with strategies for comparisons between responsive and nonresponsive tissues and species. This analysis provides a practical application of MOA Framework guidance and is instructive for the design of studies to improve upon the information available for quantitative risk assessment. PMID:20947717

IOOC Organizational Network (ION) Project

NASA Astrophysics Data System (ADS)

Dean, H.

2013-12-01

In order to meet the growing need for ocean information, research communities at the national and international levels have responded most recently by developing organizational frameworks that can help to integrate information across systems of existing networks and standardize methods of data gathering, management, and processing that facilitate integration. To address recommendations and identified challenges related to the need for a better understanding of ocean observing networks, members of the U.S. Interagency Ocean Observation Committee (IOOC) supported pursuing a project that came to be titled the IOOC Organizational Network (ION). The ION tool employs network mapping approaches which mirror approaches developed in academic literature aimed at understanding political networks. Researchers gathered data on the list of global ocean observing organizations included in the Framework for Ocean Observing (FOO), developed in 2012 by the international Task Team for an Integrated Framework for Sustained Ocean Observing. At the international scale, researchers reviewed organizational research plans and documents, websites, and formal international agreement documents. At the U.S. national scale, researchers analyzed legislation, formal inter-agency agreements, work plans, charters, and policy documents. Researchers based analysis of relationships among global organizations and national federal organizations on four broad relationship categories: Communications, Data, Infrastructure, and Human Resources. In addition to the four broad relationship categories, researchers also gathered data on relationship instrument types, strength of relationships, and (at the global level) ocean observing variables. Using network visualization software, researchers then developed a series of dynamic webpages. Researchers used the tool to address questions identified by the ocean observing community, including identifying gaps in global relationships and the types of tools used to develop networks at the U.S. national level. As the ION project goes through beta testing and is utilized to address specific questions posed by the ocean observing community, it will become more refined and more closely linked to user needs and interests.

Exercise and physical activity in asylum seekers in Northern England; using the theoretical domains framework to identify barriers and facilitators.

PubMed

Haith-Cooper, Melanie; Waskett, Catherine; Montague, Jane; Horne, Maria

2018-06-19

Many asylum seekers have complex mental health needs which can be exacerbated by the challenging circumstances in which they live and difficulties accessing health services. Regular moderate physical activity can improve mental health and would be a useful strategy to achieve this. Evidence suggests there are barriers to engaging black and minority ethnic groups in physical activity, but there is little research around asylum seekers to address the key barriers and facilitators in this group. A two stage qualitative study used semi-structured interviews underpinned by the Theoretical Domains Framework. The interviews were conducted in voluntary sector groups in four towns/ cities in Northern England. Purposive sampling recruited 36 asylum seekers from 18 different countries. Interviews were audio recorded, transcribed verbatim and subject to framework analysis. Stage two involved a nominal group technique with five key stakeholders including asylum seekers and those that work with them. They followed a four stage process to rank and reach consensus on the key barrier to undertaking physical activity/ exercise that could be addressed locally through a future intervention. A number of barriers and facilitators were identified including a lack of understanding of the term physical activity and recommended levels but knowledge of the health benefits of physical activity/ exercise and the motivation to increase levels having engaged with activities back home. Living as an asylum seeker was considered a barrier due to the stress, poverty and temporary nature of living in an unfamiliar place. The outcome of the nominal group technique was that a lack of knowledge of facilities in the local area was the prevailing barrier that could be addressed. Public health practitioners could develop interventions which capitalise on the motivation and knowledge of asylum seekers to encourage an increase in physical activity which may in turn reduce the breadth and depth of mental health needs of this group.

Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations

PubMed Central

Schaefbauer, Chris L; Campbell, Terrance R; Senteio, Charles; Siek, Katie A; Bakken, Suzanne; Veinot, Tiffany C

2016-01-01

Objective We compare 5 health informatics research projects that applied community-based participatory research (CBPR) approaches with the goal of extending existing CBPR principles to address issues specific to health informatics research. Materials and methods We conducted a cross-case analysis of 5 diverse case studies with 1 common element: integration of CBPR approaches into health informatics research. After reviewing publications and other case-related materials, all coauthors engaged in collaborative discussions focused on CBPR. Researchers mapped each case to an existing CBPR framework, examined each case individually for success factors and barriers, and identified common patterns across cases. Results Benefits of applying CBPR approaches to health informatics research across the cases included the following: developing more relevant research with wider impact, greater engagement with diverse populations, improved internal validity, more rapid translation of research into action, and the development of people. Challenges of applying CBPR to health informatics research included requirements to develop strong, sustainable academic-community partnerships and mismatches related to cultural and temporal factors. Several technology-related challenges, including needs to define ownership of technology outputs and to build technical capacity with community partners, also emerged from our analysis. Finally, we created several principles that extended an existing CBPR framework to specifically address health informatics research requirements. Conclusions Our cross-case analysis yielded valuable insights regarding CBPR implementation in health informatics research and identified valuable lessons useful for future CBPR-based research. The benefits of applying CBPR approaches can be significant, particularly in engaging populations that are typically underserved by health care and in designing patient-facing technology. PMID:26228766

The role of the law in reducing tuberculosis transmission in Botswana, South Africa and Zambia

PubMed Central

Emerson, Courtney N; Lederer, Philip; Lipke, Ginny; Kapata, Nathan; Lanje, Samson; Peters, Annatjie C; Zulu, Isaac; Marston, Barbara J; Miller, Bess

2016-01-01

Abstract Objective To determine whether laws and regulations in Botswana, South Africa and Zambia – three countries with a high tuberculosis and HIV infection burden – address elements of the World Health Organization (WHO) policy on tuberculosis infection control. Methods An online desk review of laws and regulations that address six selected elements of the WHO policy on tuberculosis infection control in the three countries was conducted in November 2015 using publicly available domestic legal databases. The six elements covered: (i) national policy and legal framework; (ii) health facility design, construction and use; (iii) tuberculosis disease surveillance among health workers; (iv) patients’ and health workers’ rights; (v) monitoring of infection control measures; and (vi) relevant research. Findings The six elements were found to be adequately addressed in the three countries’ laws and regulations. In all three, tuberculosis case-reporting is required, as is tuberculosis surveillance among health workers. Each country’s legal and regulatory framework also addresses the need to respect individuals’ rights and privacy while safeguarding public health. These laws and regulations create a strong foundation for tuberculosis infection control. Although the legal and regulatory frameworks thoroughly address tuberculosis infection control, their dissemination, implementation and enforcement were not assessed, nor was their impact on public health. Conclusion Laws and regulations in Botswana, South Africa and Zambia address all six selected elements of the WHO policy on tuberculosis infection control. However, the lack of data on their implementation is a limitation. Future research should assess the implementation and public health impact of laws and regulations. PMID:27274593

Health care needs assessment among adolescents in correctional institutions in Zambia: an ethical analysis.

PubMed

Kumwenda, Maureen; Nzala, Selestine; Zulu, Joseph M

2017-08-22

While health care needs assessments have been conducted among juveniles or adolescents by researchers in developed countries, assessments using an ethics framework particularly in developing countries are lacking. We analysed the health care needs among adolescents at the Nakambala Correctional Institution in Zambia, using the Beauchamp and Childress ethics framework. The ethics approach facilitated analysis of moral injustices or dilemmas triggered by health care needs at the individual (adolescent) level. The research team utilized 35 in-depth interviews with juveniles, 6 key informant interviews and 2 focus group discussions to collect data. We analysed the data using thematic analysis. The use of three sources of data facilitated triangulation of data. Common health problems included HIV/AIDS, STIs, flu, diarrhoea, rashes, and malaria. Although there are some health promotion strategies at the Nakambala Approved School, the respondents classified the health care system as inadequate. The unfavourable social context which included clouded rooms and lack of adolescent health friendly services unfairly exposed adolescents to several health risks and behaviours thus undermining the ethics principle of social justice. In addition, the limited prioritisation of adolescent centres by the stakeholders and erratic funding also worsened injustices by weakening the health care system. Whereas the inadequate medical and drug supplies, shortage of health workers in the nearby health facilities and weak referral systems excluded the juveniles from enjoying maximum health benefits thus undermining adolescents' wellbeing or beneficence. Inadequate medical and drug supplies as well as non-availability of adolescent friendly health services at the nearest health facility did not only affect social justice and beneficence ethics principles but also threatened juveniles' privacy, liberty and confidentiality as well as autonomy with regard to health service utilisation. Adequately addressing the health needs in correctional institutions may require adopting an ethics framework in conducting health needs assessment. An ethics approach is important because it facilitates understanding of moral dilemmas that arise due to health needs. Furthermore, strategies for addressing health needs related to one ethics principle may have a positive ripple effect over other health needs as the principles are intertwined thus facilitating a comprehensive response to health needs.

Dark sides of the proposed Framework Convention on Global Health's many virtues: A systematic review and critical analysis.

PubMed

Hoffman, Steven J; Røttingen, John-Arne

2013-06-14

The costs of any proposal for new international law must be fully evaluated and compared with benefits and competing alternatives to ensure adoption will not create more problems than solutions. A systematic review of the research literature was conducted to categorize and assess limitations and unintended negative consequences associated with the proposed Framework Convention on Global Health (FCGH). A critical analysis then interpreted these findings using economic, ethical, legal, and political science perspectives. Of the 442 documents retrieved, nine met the inclusion criteria. Collectively, these documents highlighted that an FCGH could duplicate other efforts, lack feasibility, and have questionable impact. The critical analysis reveals that negative consequences can result from the FCGH's proposed form of international law and proposed functions of influencing national budgets, realizing health rights and resetting global governance for health. These include the direct costs of international law, opportunity costs, reducing political dialogue by legalizing political interactions, petrifying principles that may have only contemporary relevance, imposing foreign values on less powerful countries, forcing externally defined goals on countries, prioritizing individual rights over population-wide well-being, further complicating global governance for health, weakening the World Health Organization (WHO), reducing participation opportunities for non-state actors, and offering sub-optimal solutions for global health challenges. Four options for revising the FCGH proposal are developed to address its weaknesses and strengthen its potential for impact. These include: 1) abandoning international law as the primary commitment mechanism and instead pursuing agreement towards a less formal "framework for global health"; 2) seeking fundamental constitutional reform of WHO to address gaps in global governance for health; 3) mobilizing for a separate political platform that completely bypasses WHO; or 4) narrowing the scope of sought changes to one particular governance issue such as financing for global health needs. Copyright © 2013 Hoffman and Rottingen. This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.

Current limitations and recommendations to improve testing for the environmental assessment of endocrine active substances

EPA Science Inventory

In this paper existing regulatory frameworks and test systems for assessing potential endocrine-active chemicals are described, and associated challenges discussed, along with proposed approaches to address these challenges. Regulatory frameworks vary somewhat across organizatio...

Information and communication technologies and gender in climate change and green economy: Situating women’s opportunities and challenges in Zambian policies and strategies

PubMed Central

2016-01-01

Zambia’s 2012 report on the United Nations Conference on Sustainable Development (RIO +20) identifies existing opportunities on the country’s transitioning to green economy. The RIO +20 conference of 2012 has resulted in new momentum in addressing problems of sustainable development. However, this article argues that there are practical challenges that require paying attention to, especially those involving women. The article addressed one key question: To what extent can women participate in the transitioning process to green economy in Zambia and what opportunities and challenges exists? The study used document analysis to answer the above question. National policy documents were reviewed to understand interventions on environmental management. Whilst going through the documents, the study used gender analysis frameworks (education, skills, roles in family and society, access to infrastructure) to bring out qualitative and quantitative information on women. Using suggested green economy interventions in the literature as benchmark, qualitative analysis was used to project possible participation of women in green economy activities and possible challenges to be faced. The study found that participation of women will be limited despite existing opportunities because of challenges of access to information and communication technology infrastructures, low educational levels and skills and financial constraints. As Zambia undergoes a transitioning process, these limitations should be addressed in planned green economy policies and interventions to maximise benefits.

THE ROLE OF RISK ASSESSMENT IN ADDRESSING HAZARDOUS WASTE ISSUES

EPA Science Inventory

Risk assessment plays many important roles in addressing hazardous waste issues. In addition to providing a scientific framework and common health metric to evaluate risks. Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA or "Superfund") risk assessm...

Visitor experience and resource protection framework in the National Park System: rationale, current status, and future direction

Treesearch

Marilyn Hof; David W. Lime

1997-01-01

The Visitor Experience and Resource Protection (VERP) framework was developed by the National Park Service to address carrying capacity questions associated with visitation-related resource impacts and impacts to the quality of visitor experiences. The framework can be applied as part of a park’s general management planning process (general management plans, GMPs), to...

Guiding Inquiry with Biography Breaks and the C3 Framework: Can One Person Make a Difference?

ERIC Educational Resources Information Center

Young, Terrell A.; Miner, Amy Baird

2015-01-01

The purpose of this article is to explore how teachers can use biography breaks to address the National Council of the Social Studies C3 inquiry framework and in the process meet requirements of the Common Core State Standards. We begin by illustrating and explaining biography breaks. Then we introduce the C3 framework and explain as well as…

Higher-Order Theory for Functionally Graded Materials

NASA Technical Reports Server (NTRS)

Aboudi, Jacob; Pindera, Marek-Jerzy; Arnold, Steven M.

1999-01-01

This paper presents the full generalization of the Cartesian coordinate-based higher-order theory for functionally graded materials developed by the authors during the past several years. This theory circumvents the problematic use of the standard micromechanical approach, based on the concept of a representative volume element, commonly employed in the analysis of functionally graded composites by explicitly coupling the local (microstructural) and global (macrostructural) responses. The theoretical framework is based on volumetric averaging of the various field quantities, together with imposition of boundary and interfacial conditions in an average sense between the subvolumes used to characterize the composite's functionally graded microstructure. The generalization outlined herein involves extension of the theoretical framework to enable the analysis of materials characterized by spatially variable microstructures in three directions. Specialization of the generalized theoretical framework to previously published versions of the higher-order theory for materials functionally graded in one and two directions is demonstrated. In the applications part of the paper we summarize the major findings obtained with the one-directional and two-directional versions of the higher-order theory. The results illustrate both the fundamental issues related to the influence of microstructure on microscopic and macroscopic quantities governing the response of composites and the technologically important applications. A major issue addressed herein is the applicability of the classical homogenization schemes in the analysis of functionally graded materials. The technologically important applications illustrate the utility of functionally graded microstructures in tailoring the response of structural components in a variety of applications involving uniform and gradient thermomechanical loading.

Causal Mediation Analysis for the Cox Proportional Hazards Model with a Smooth Baseline Hazard Estimator.

PubMed

Wang, Wei; Albert, Jeffrey M

2017-08-01

An important problem within the social, behavioral, and health sciences is how to partition an exposure effect (e.g. treatment or risk factor) among specific pathway effects and to quantify the importance of each pathway. Mediation analysis based on the potential outcomes framework is an important tool to address this problem and we consider the estimation of mediation effects for the proportional hazards model in this paper. We give precise definitions of the total effect, natural indirect effect, and natural direct effect in terms of the survival probability, hazard function, and restricted mean survival time within the standard two-stage mediation framework. To estimate the mediation effects on different scales, we propose a mediation formula approach in which simple parametric models (fractional polynomials or restricted cubic splines) are utilized to approximate the baseline log cumulative hazard function. Simulation study results demonstrate low bias of the mediation effect estimators and close-to-nominal coverage probability of the confidence intervals for a wide range of complex hazard shapes. We apply this method to the Jackson Heart Study data and conduct sensitivity analysis to assess the impact on the mediation effects inference when the no unmeasured mediator-outcome confounding assumption is violated.

Analysis and Comparison of Carbon Capture & Sequestration Policies

NASA Astrophysics Data System (ADS)

Burton, E.; Ezzedine, S. M.; Reed, J.; Beyer, J. H.; Wagoner, J. L.

2010-12-01

Several states and countries have adopted or are in the process of crafting policies to enable geologic carbon sequestration projects. These efforts reflect the recognition that existing statutory and regulatory frameworks leave ambiguities or gaps that elevate project risk for private companies considering carbon sequestration projects, and/or are insufficient to address a government’s mandate to protect the public interest. We have compared the various approaches that United States’ state and federal governments have taken to provide regulatory frameworks to address carbon sequestration. A major purpose of our work is to inform the development of any future legislation in California, should it be deemed necessary to meet the goals of Assembly Bill 1925 (2006) to accelerate the adoption of cost-effective geologic sequestration strategies for the long-term management of industrial carbon dioxide in the state. Our analysis shows a diverse issues are covered by adopted and proposed carbon capture and sequestration (CCS) legislation and that many of the new laws focus on defining regulatory frameworks for underground injection of CO2, ambiguities in property issues, or assigning legal liability. While these approaches may enable the progress of early projects, future legislation requires a longer term and broader view that includes a quantified integration of CCS into a government’s overall climate change mitigation strategy while considering potentially counterproductive impacts on CCS of other climate change mitigation strategies. Furthermore, legislation should be crafted in the context of a vision for CCS as an economically viable and widespread industry. While an important function of new CCS legislation is enabling early projects, it must be kept in mind that applying the same laws or protocols in the future to a widespread CCS industry may result in business disincentives and compromise of the public interest in mitigating GHG emissions. Protection of the public interest requires that monitoring and verification track the long term fate of pipelined CO2 regardless of its end use in order to establish that climate change goals are being met.

Transmission models and management of lymphatic filariasis elimination.

PubMed

Michael, Edwin; Gambhir, Manoj

2010-01-01

The planning and evaluation of parasitic control programmes are complicated by the many interacting population dynamic and programmatic factors that determine infection trends under different control options. A key need is quantification about the status of the parasite system state at any one given timepoint and the dynamic change brought upon that state as an intervention program proceeds. Here, we focus on the control and elimination of the vector-borne disease, lymphatic filariasis, to show how mathematical models of parasite transmission can provide a quantitative framework for aiding the design of parasite elimination and monitoring programs by their ability to support (1) conducting rational analysis and definition of endpoints for different programmatic aims or objectives, including transmission endpoints for disease elimination, (2) undertaking strategic analysis to aid the optimal design of intervention programs to meet set endpoints under different endemic settings and (3) providing support for performing informed evaluations of ongoing programs, including aiding the formation of timely adaptive management strategies to correct for any observed deficiencies in program effectiveness. The results also highlight how the use of a model-based framework will be critical to addressing the impacts of ecological complexities, heterogeneities and uncertainties on effective parasite management and thereby guiding the development of strategies to resolve and overcome such real-world complexities. In particular, we underscore how this approach can provide a link between ecological science and policy by revealing novel tools and measures to appraise and enhance the biological controllability or eradicability of parasitic diseases. We conclude by emphasizing an urgent need to develop and apply flexible adaptive management frameworks informed by mathematical models that are based on learning and reducing uncertainty using monitoring data, apply phased or sequential decision-making to address extant uncertainty and focus on developing ecologically resilient management strategies, in ongoing efforts to control or eliminate filariasis and other parasitic diseases in resource-poor communities.

Adaptive leadership framework for chronic illness: framing a research agenda for transforming care delivery.

PubMed

Anderson, Ruth A; Bailey, Donald E; Wu, Bei; Corazzini, Kirsten; McConnell, Eleanor S; Thygeson, N Marcus; Docherty, Sharron L

2015-01-01

We propose the Adaptive Leadership Framework for Chronic Illness as a novel framework for conceptualizing, studying, and providing care. This framework is an application of the Adaptive Leadership Framework developed by Heifetz and colleagues for business. Our framework views health care as a complex adaptive system and addresses the intersection at which people with chronic illness interface with the care system. We shift focus from symptoms to symptoms and the challenges they pose for patients/families. We describe how providers and patients/families might collaborate to create shared meaning of symptoms and challenges to coproduce appropriate approaches to care.

Incorporating consideration of health impacts into land use development approval processes: Development of a Health Background Study Framework.

PubMed

Moloughney, Brent W; Bursey, Gayle E; Neumann, Jana; Leeming, Daniel H; Gutmann, Christine E; Sivanand, Bhavna; Mowat, David L

2014-09-12

This project involved development of a Health Background Study (HBS) Framework to support consideration of health impacts within municipalities' approval process for land use development. Peel Public Health and Toronto Public Health led the project with the participation of planners, urban designers, engineers, public health staff and development industry representatives. Historical growth in the Region of Peel and suburban Toronto has resulted in extensive low-density development, creating car-dependent communities with disconnected streets and segregated land uses. The inclusion of an HBS in developers' applications to municipalities is one approach by which health-related expectations for the built environment can be established within the approval process. Development of the HBS Framework used the six core elements of the built environment with the strongest evidence for impact on health and was informed by analysis of the provincial and local policy contexts, practices of other municipalities and stakeholder interviews. The Framework's contents were refined according to feedback from multidisciplinary stakeholder workshops. The HBS Framework identifies minimum standards for built environment core elements that developers need to address in their applications. The Framework was created to be simple and instructive with applicability to a range of development locations and scales, and to various stages of the development approval process. Peel Public Health is leading several initiatives to support the use of the HBS as a part of the development application process. The HBS Framework is a tool that public health and planning can use to support the consideration of health impacts within municipalities' land use development processes.

Scoping review of health promotion and disease prevention interventions addressed to elderly people.

PubMed

Duplaga, Mariusz; Grysztar, Marcin; Rodzinka, Marcin; Kopec, Agnieszka

2016-09-05

The ageing of modern societies remains one of the greatest challenges for health and social systems. To respond to this challenge, we need effective strategies assuring healthy active life for elderly people. Health promotion and related activities are perceived as a key intervention, which can improve wellbeing in later life. The main aim of this study is the identification and classification of such interventions addressed to older adults and elderly. Therefore, the strategy based on the scoping review as a feasible tool for exploring this domain, summarizing research findings and identifying gaps of evidence, was applied. The scoping review relies on the analysis of previous reviews of interventions aimed at older adults (55-64 years old) and elderly persons (65 years and above) assessed for their effectiveness in the framework of a systematic review and/or meta-analysis. The search strategy was based on the identification of interventions reported as health promotion, primary disease prevention, screening or social support. In the analysis, the reviews published from January 2000 to April 2015 were included. The search strategy yielded 334 systematic reviews and/or meta-analyses addressed to target groups of interest, 182 of them assessed interventions belonging to health promotion, 219 to primary prevention, 34 to screening and 35 to social support. The studies focused on elderly (65 years and above) made up 40.4 % of all retrieved reviews and those addressing population of 55 years and above accounted for 24.0 %. Interventions focused on health maintenance and improvement in elderly and older adults represent frequently combined health promotion and disease prevention actions. Many interventions of this type are not addressed exclusively to elderly populations and/or older adults but are designed for the general population. The most common types of interventions addressed to elderly and older adults in the area of health promotion include health education, behavior modification and health communication.

An evolutionary critique of cultural analysis in sociology.

PubMed

Crippen, T

1992-12-01

A noteworthy development that has transpired in American sociology in the past quarter century has been the increasingly sophisticated interest in the analysis of human cultural systems. Sadly, however, these analyses reveal that social scientists rarely appreciate the profoundly evolutionary aspects of human culture. The chief purpose of this essay is to address this shortcoming and to offer some tentative suggestions toward its rectification. The essay begins by briefly reviewing recent developments in the analysis of cultural systems, primarily by reference to the influential work of Wuthnow. Second, a common flaw in these approaches is addressed-namely, the absence of any recognition of the value of grounding sociocultural theory in an informed evolutionary framework-and the case is made that this shortcoming is avoidable, even within the context of the intellectual traditions of the social sciences. Third, the evolutionary foundations of human cultural behavior are explored in terms of an analysis of relevant theoretical and empirical developments in the evolutionary neurosciences. Fourth, the value of these insights is illustrated by reference to an evolutionary critique of a recent and thought-provoking contribution to the study of modern political culture-Douglas and Wildavsky's analysis ofRisk and Culture. Finally, the article concludes by emphasizing the value of and the necessity for incorporating evolutionary reasoning into the domain of sociocultural theory.

Investigations into Gravitational Wave Emission from Compact Body Inspiral into Massive Black Holes

NASA Technical Reports Server (NTRS)

Hughes, Scott A.

2005-01-01

In contrast to year 1 (when much of the activity associated with this grant focused upon developing our group at MIT), year 2 was a period of very focused attention on research problems. We made significant progress developing relativistic waveforms for the extreme mass ratio inspiral problem; we have pushed forward a formalism our group developed for mapping the spacetimes of massive compact objects; and, in collaboration with the Caltech group, we began to develop a framework for addressing issues in LISA data analysis for extreme mass ratio systems.

Computer vision for microscopy diagnosis of malaria.

PubMed

Tek, F Boray; Dempster, Andrew G; Kale, Izzet

2009-07-13

This paper reviews computer vision and image analysis studies aiming at automated diagnosis or screening of malaria infection in microscope images of thin blood film smears. Existing works interpret the diagnosis problem differently or propose partial solutions to the problem. A critique of these works is furnished. In addition, a general pattern recognition framework to perform diagnosis, which includes image acquisition, pre-processing, segmentation, and pattern classification components, is described. The open problems are addressed and a perspective of the future work for realization of automated microscopy diagnosis of malaria is provided.

Studying the HIT-Complexity Interchange.

PubMed

Kuziemsky, Craig E; Borycki, Elizabeth M; Kushniruk, Andre W

2016-01-01

The design and implementation of health information technology (HIT) is challenging, particularly when it is being introduced into complex settings. While complex adaptive system (CASs) can be a valuable means of understanding relationships between users, HIT and tasks, much of the existing work using CASs is descriptive in nature. This paper addresses that issue by integrating a model for analyzing task complexity with approaches for HIT evaluation and systems analysis. The resulting framework classifies HIT-user tasks and issues as simple, complicated or complex, and provides insight on how to study them.

Re-thinking residential mobility

PubMed Central

van Ham, Maarten; Findlay, Allan M.

2015-01-01

While researchers are increasingly re-conceptualizing international migration, far less attention has been devoted to re-thinking short-distance residential mobility and immobility. In this paper we harness the life course approach to propose a new conceptual framework for residential mobility research. We contend that residential mobility and immobility should be re-conceptualized as relational practices that link lives through time and space while connecting people to structural conditions. Re-thinking and re-assessing residential mobility by exploiting new developments in longitudinal analysis will allow geographers to understand, critique and address pressing societal challenges. PMID:27330243

Decoding ecosystem services in the neighborhood through ...

EPA Pesticide Factsheets

Remediation to Restoration to Revitalization (R2R2R) is a place-based practice that requires ongoing communication amongst agencies, local governments, and citizens. One of the challenges is that each of these entities have different relationships with and responsibilities to sites where R2R2R unfolds. Sediment remediation and habitat restoration project goals, community planning, and lived experiences diverge in scale, focus, and interaction depending on the agency or individual. In order to address this disconnect, we developed a framework to sort and classify data and identify ecosystem services collected through inductive methods like participant observation and document analysis. Data were collected between June 2015 and December 2016 and analyzed through content analysis as a first step. Participant observation was conducted in relation to the City of Duluth St. Louis River Corridor planning process at park planning public meetings, community group meetings, and City of Duluth technical advisory meetings. Document analysis was conducted on a variety of City of Duluth plans. The framework that emerged from the analysis includes neighborhood components that individuals, organizations, and local governments may discuss in the context of their community. The characteristics are a mix of built environment types, structural dimensions, personal experiences, and human-environment relationships and include: parks/open spaces, trails or connections, housing, schoo

Adopting Health Behavior Change Theory throughout the Clinical Practice Guideline Process

ERIC Educational Resources Information Center

Ceccato, Natalie E.; Ferris, Lorraine E.; Manuel, Douglas; Grimshaw, Jeremy M.

2007-01-01

Adopting a theoretical framework throughout the clinical practice guideline (CPG) process (development, dissemination, implementation, and evaluation) can be useful in systematically identifying, addressing, and explaining behavioral influences impacting CPG uptake and effectiveness. This article argues that using a theoretical framework should…

76 FR 70162 - Notice of Intent To Prepare an Environmental Assessment for a Possible Land Use Plan Amendment To...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-11-10

... Environmental Assessment (EA) that will analyze the amendment of the 1981 Sun Valley Management Framework Plan... whether the Sun Valley Management Framework Plan should be amended to address the sale. To the extent...

Moral judgment as information processing: an integrative review.

PubMed

Guglielmo, Steve

2015-01-01

How do humans make moral judgments about others' behavior? This article reviews dominant models of moral judgment, organizing them within an overarching framework of information processing. This framework poses two distinct questions: (1) What input information guides moral judgments? and (2) What psychological processes generate these judgments? Information Models address the first question, identifying critical information elements (including causality, intentionality, and mental states) that shape moral judgments. A subclass of Biased Information Models holds that perceptions of these information elements are themselves driven by prior moral judgments. Processing Models address the second question, and existing models have focused on the relative contribution of intuitive versus deliberative processes. This review organizes existing moral judgment models within this framework and critically evaluates them on empirical and theoretical grounds; it then outlines a general integrative model grounded in information processing, and concludes with conceptual and methodological suggestions for future research. The information-processing framework provides a useful theoretical lens through which to organize extant and future work in the rapidly growing field of moral judgment.

Mobile Autonomous Sensing Unit (MASU): A Framework That Supports Distributed Pervasive Data Sensing

PubMed Central

Medina, Esunly; Lopez, David; Meseguer, Roc; Ochoa, Sergio F.; Royo, Dolors; Santos, Rodrigo

2016-01-01

Pervasive data sensing is a major issue that transverses various research areas and application domains. It allows identifying people’s behaviour and patterns without overwhelming the monitored persons. Although there are many pervasive data sensing applications, they are typically focused on addressing specific problems in a single application domain, making them difficult to generalize or reuse. On the other hand, the platforms for supporting pervasive data sensing impose restrictions to the devices and operational environments that make them unsuitable for monitoring loosely-coupled or fully distributed work. In order to help address this challenge this paper present a framework that supports distributed pervasive data sensing in a generic way. Developers can use this framework to facilitate the implementations of their applications, thus reducing complexity and effort in such an activity. The framework was evaluated using simulations and also through an empirical test, and the obtained results indicate that it is useful to support such a sensing activity in loosely-coupled or fully distributed work scenarios. PMID:27409617

Moral judgment as information processing: an integrative review

PubMed Central

Guglielmo, Steve

2015-01-01

How do humans make moral judgments about others’ behavior? This article reviews dominant models of moral judgment, organizing them within an overarching framework of information processing. This framework poses two distinct questions: (1) What input information guides moral judgments? and (2) What psychological processes generate these judgments? Information Models address the first question, identifying critical information elements (including causality, intentionality, and mental states) that shape moral judgments. A subclass of Biased Information Models holds that perceptions of these information elements are themselves driven by prior moral judgments. Processing Models address the second question, and existing models have focused on the relative contribution of intuitive versus deliberative processes. This review organizes existing moral judgment models within this framework and critically evaluates them on empirical and theoretical grounds; it then outlines a general integrative model grounded in information processing, and concludes with conceptual and methodological suggestions for future research. The information-processing framework provides a useful theoretical lens through which to organize extant and future work in the rapidly growing field of moral judgment. PMID:26579022

A conceptual framework for understanding HIV risk behavior in the context of supporting fertility goals among HIV-serodiscordant couples

PubMed Central

Crankshaw, Tamaryn L.; Matthews, Lynn T.; Giddy, Janet; Kaida, Angela; Ware, Norma C.; Smit, Jennifer A.; Bangsberg, David R.

2013-01-01

Integrated reproductive health services for people living with HIV must address their fertility intentions. For HIV-serodiscordant couples who want to conceive, attempted conception confers a substantial risk of HIV transmission to the uninfected partner. Behavioral and pharmacologic strategies may reduce HIV transmission risk among HIV-serodiscordant couples who seek to conceive. In order to develop effective pharmaco-behavioral programs, it is important to understand and address the contexts surrounding reproductive decision-making; perceived periconception HIV transmission risk; and periconception risk behaviors. We present a conceptual framework to describe the dynamics involved in periconception HIV risk behaviors in a South African setting. We adapt the Information-Motivation-Behavioral Skill Model of HIV Preventative Behavior to address the structural, individual and couple-level determinants of safer conception behavior. The framework is intended to identify factors that influence periconception HIV risk behavior among serodiscordant couples, and therefore to guide design and implementation of integrated and effective HIV, reproductive health and family planning services that support reproductive decision-making. PMID:23177680

The training for health equity network evaluation framework: a pilot study at five health professional schools.

PubMed

Ross, Simone J; Preston, Robyn; Lindemann, Iris C; Matte, Marie C; Samson, Rex; Tandinco, Filedito D; Larkins, Sarah L; Palsdottir, Bjorg; Neusy, Andre-Jacques

2014-01-01

The Training for Health Equity Network (THEnet), a group of diverse health professional schools aspiring toward social accountability, developed and pilot tested a comprehensive evaluation framework to assess progress toward socially accountable health professions education. The evaluation framework provides criteria for schools to assess their level of social accountability within their organization and planning; education, research and service delivery; and the direct and indirect impacts of the school and its graduates, on the community and health system. This paper describes the pilot implementation of testing the evaluation framework across five THEnet schools, and examines whether the evaluation framework was practical and feasible across contexts for the purposes of critical reflection and continuous improvement in terms of progress towards social accountability. In this pilot study, schools utilized the evaluation framework using a mixed method approach of data collection comprising of workshops, qualitative interviews and focus group discussions, document review and collation and analysis of existing quantitative data. The evaluation framework allowed each school to contextually gather evidence on how it was meeting the aspirational goals of social accountability across a range of school activities, and to identify strengths and areas for improvement and development. The evaluation framework pilot study demonstrated how social accountability can be assessed through a critically reflective and comprehensive process. As social accountability focuses on the relationship between health professions schools and health system and health population outcomes, each school was able to demonstrate to students, health professionals, governments, accrediting bodies, communities and other stakeholders how current and future health care needs of populations are addressed in terms of education, research, and service learning.

Hybrid modeling in biochemical systems theory by means of functional petri nets.

PubMed

Wu, Jialiang; Voit, Eberhard

2009-02-01

Many biological systems are genuinely hybrids consisting of interacting discrete and continuous components and processes that often operate at different time scales. It is therefore desirable to create modeling frameworks capable of combining differently structured processes and permitting their analysis over multiple time horizons. During the past 40 years, Biochemical Systems Theory (BST) has been a very successful approach to elucidating metabolic, gene regulatory, and signaling systems. However, its foundation in ordinary differential equations has precluded BST from directly addressing problems containing switches, delays, and stochastic effects. In this study, we extend BST to hybrid modeling within the framework of Hybrid Functional Petri Nets (HFPN). First, we show how the canonical GMA and S-system models in BST can be directly implemented in a standard Petri Net framework. In a second step we demonstrate how to account for different types of time delays as well as for discrete, stochastic, and switching effects. Using representative test cases, we validate the hybrid modeling approach through comparative analyses and simulations with other approaches and highlight the feasibility, quality, and efficiency of the hybrid method.

An Integrated Framework for Multipollutant Air Quality Management and Its Application in Georgia

NASA Astrophysics Data System (ADS)

Cohan, Daniel S.; Boylan, James W.; Marmur, Amit; Khan, Maudood N.

2007-10-01

Air protection agencies in the United States increasingly confront non-attainment of air quality standards for multiple pollutants sharing interrelated emission origins. Traditional approaches to attainment planning face important limitations that are magnified in the multipollutant context. Recognizing those limitations, the Georgia Environmental Protection Division has adopted an integrated framework to address ozone, fine particulate matter, and regional haze in the state. Rather than applying atmospheric modeling merely as a final check of an overall strategy, photochemical sensitivity analysis is conducted upfront to compare the effectiveness of controlling various precursor emission species and source regions. Emerging software enables the modeling of health benefits and associated economic valuations resulting from air pollution control. Photochemical sensitivity and health benefits analyses, applied together with traditional cost and feasibility assessments, provide a more comprehensive characterization of the implications of various control options. The fuller characterization both informs the selection of control options and facilitates the communication of impacts to affected stakeholders and the public. Although the integrated framework represents a clear improvement over previous attainment-planning efforts, key remaining shortcomings are also discussed.

Livelihoods, power, and food insecurity: adaptation of social capital portfolios in protracted crises--case study Burundi.

PubMed

Vervisch, Thomas G A; Vlassenroot, Koen; Braeckman, Johan

2013-04-01

The failure of food security and livelihood interventions to adapt to conflict settings remains a key challenge in humanitarian responses to protracted crises. This paper proposes a social capital analysis to address this policy gap, adding a political economy dimension on food security and conflict to the actor-based livelihood framework. A case study of three hillsides in north Burundi provides an ethnographic basis for this hypothesis. While relying on a theoretical framework in which different combinations of social capital (bonding, bridging, and linking) account for a diverse range of outcomes, the findings offer empirical insights into how social capital portfolios adapt to a protracted crisis. It is argued that these social capital adaptations have the effect of changing livelihood policies, institutions, and processes (PIPs), and clarify the impact of the distribution of power and powerlessness on food security issues. In addition, they represent a solid way of integrating political economy concerns into the livelihood framework. © 2013 The Author(s). Journal compilation © Overseas Development Institute, 2013.

[Diagnosis of the productive capacity of the IMSS regarding health technologies].

PubMed

Figueroa-Lara, Alejandro; López-Fernández, Fátima Itzel; López-Domínguez, Adriana; Fajardo-Dolci, German

To quantify the production capacity and performance in research and technological developments of the Mexican Social Security Institute (IMSS). We identified and analyzed information of the legislation, human and financial resources, and infrastructure addressed for research and technological development of IMSS. We analyzed whether the information on the legal framework contained key features to boost research and technological development. Information on the human, financial, and infrastructure resources were obtained from official sources. The research productivity was identified by a bibliometric analysis in 2014; productivity in technological developments was identified by intellectual products. The legal framework of the IMSS has several areas for improvement to boost research and technological development, especially the guidelines for technology transfer. The IMSS has 438 researchers, 39 research units, and a budget of US$ 37.4 million for research and technological development. The rate of articles published per 10 researchers was 4.8; while rate patients was 1.8. The IMSS has a great potential to translate research into technological developments, it is only necessary to make some changes to the legal framework.

An integrated framework for multipollutant air quality management and its application in Georgia.

PubMed

Cohan, Daniel S; Boylan, James W; Marmur, Amit; Khan, Maudood N

2007-10-01

Air protection agencies in the United States increasingly confront non-attainment of air quality standards for multiple pollutants sharing interrelated emission origins. Traditional approaches to attainment planning face important limitations that are magnified in the multipollutant context. Recognizing those limitations, the Georgia Environmental Protection Division has adopted an integrated framework to address ozone, fine particulate matter, and regional haze in the state. Rather than applying atmospheric modeling merely as a final check of an overall strategy, photochemical sensitivity analysis is conducted upfront to compare the effectiveness of controlling various precursor emission species and source regions. Emerging software enables the modeling of health benefits and associated economic valuations resulting from air pollution control. Photochemical sensitivity and health benefits analyses, applied together with traditional cost and feasibility assessments, provide a more comprehensive characterization of the implications of various control options. The fuller characterization both informs the selection of control options and facilitates the communication of impacts to affected stakeholders and the public. Although the integrated framework represents a clear improvement over previous attainment-planning efforts, key remaining shortcomings are also discussed.

Buildings of the Future Scoping Study: A Framework for Vision Development

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

Wang, Na; Goins, John D.

2015-02-01

The Buildings of the Future Scoping Study, funded by the U.S. Department of Energy (DOE) Building Technologies Office, seeks to develop a vision for what U.S. mainstream commercial and residential buildings could become in 100 years. This effort is not intended to predict the future or develop a specific building design solution. Rather, it will explore future building attributes and offer possible pathways of future development. Whether we achieve a more sustainable built environment depends not just on technologies themselves, but on how effectively we envision the future and integrate these technologies in a balanced way that generates economic, social,more » and environmental value. A clear, compelling vision of future buildings will attract the right strategies, inspire innovation, and motivate action. This project will create a cross-disciplinary forum of thought leaders to share their views. The collective views will be integrated into a future building vision and published in September 2015. This report presents a research framework for the vision development effort based on a literature survey and gap analysis. This document has four objectives. First, it defines the project scope. Next, it identifies gaps in the existing visions and goals for buildings and discusses the possible reasons why some visions did not work out as hoped. Third, it proposes a framework to address those gaps in the vision development. Finally, it presents a plan for a series of panel discussions and interviews to explore a vision that mitigates problems with past building paradigms while addressing key areas that will affect buildings going forward.« less

National Laboratory Planning: Developing Sustainable Biocontainment Laboratories in Limited Resource Areas

PubMed Central

Adams, Martin; Stamper, Paul D.; Dasgupta, Debanjana; Hewson, Roger; Buck, Charles D.; Richards, Allen L.; Hay, John

2016-01-01

Strategic laboratory planning in limited resource areas is essential for addressing global health security issues. Establishing a national reference laboratory, especially one with BSL-3 or -4 biocontainment facilities, requires a heavy investment of resources, a multisectoral approach, and commitments from multiple stakeholders. We make the case for donor organizations and recipient partners to develop a comprehensive laboratory operations roadmap that addresses factors such as mission and roles, engaging national and political support, securing financial support, defining stakeholder involvement, fostering partnerships, and building trust. Successful development occurred with projects in African countries and in Azerbaijan, where strong leadership and a clear management framework have been key to success. A clearly identified and agreed management framework facilitate identifying the responsibility for developing laboratory capabilities and support services, including biosafety and biosecurity, quality assurance, equipment maintenance, supply chain establishment, staff certification and training, retention of human resources, and sustainable operating revenue. These capabilities and support services pose rate-limiting yet necessary challenges. Laboratory capabilities depend on mission and role, as determined by all stakeholders, and demonstrate the need for relevant metrics to monitor the success of the laboratory, including support for internal and external audits. Our analysis concludes that alternative frameworks for success exist for developing and implementing capabilities at regional and national levels in limited resource areas. Thus, achieving a balance for standardizing practices between local procedures and accepted international standards is a prerequisite for integrating new facilities into a country's existing public health infrastructure and into the overall international scientific community. PMID:27559843

What do District Health Planners in Tanzania think about improving priority setting using 'Accountability for Reasonableness'?

PubMed Central

Mshana, Simon; Shemilu, Haji; Ndawi, Benedict; Momburi, Roman; Olsen, Oystein Evjen; Byskov, Jens; Martin, Douglas K

2007-01-01

Background Priority setting in every health system is complex and difficult. In less wealthy countries the dominant approach to priority setting has been Burden of Disease (BOD) and cost-effectiveness analysis (CEA), which is helpful, but insufficient because it focuses on a narrow range of values – need and efficiency – and not the full range of relevant values, including legitimacy and fairness. 'Accountability for reasonableness' is a conceptual framework for legitimate and fair priority setting and is empirically based and ethically justified. It connects priority setting to broader, more fundamental, democratic deliberative processes that have an impact on social justice and equity. Can 'accountability for reasonableness' be helpful for improving priority setting in less wealthy countries? Methods In 2005, Tanzanian scholars from the Primary Health Care Institute (PHCI) conducted 6 capacity building workshops with senior health staff, district planners and managers, and representatives of the Tanzanian Ministry of Health to discussion improving priority setting in Tanzania using 'accountability for reasonableness'. The purpose of this paper is to describe this initiative and the participants' views about the approach. Results The approach to improving priority setting using 'accountability for reasonableness' was viewed by district decision makers with enthusiastic favour because it was the first framework that directly addressed their priority setting concerns. High level Ministry of Health participants were also very supportive of the approach. Conclusion Both Tanzanian district and governmental health planners viewed the 'accountability for reasonableness' approach with enthusiastic favour because it was the first framework that directly addressed their concerns. PMID:17997824

Towards mainstreaming of biodiversity data publishing: recommendations of the GBIF Data Publishing Framework Task Group

PubMed Central

2011-01-01

Background Data are the evidentiary basis for scientific hypotheses, analyses and publication, for policy formation and for decision-making. They are essential to the evaluation and testing of results by peer scientists both present and future. There is broad consensus in the scientific and conservation communities that data should be freely, openly available in a sustained, persistent and secure way, and thus standards for 'free' and 'open' access to data have become well developed in recent years. The question of effective access to data remains highly problematic. Discussion Specifically with respect to scientific publishing, the ability to critically evaluate a published scientific hypothesis or scientific report is contingent on the examination, analysis, evaluation - and if feasible - on the re-generation of data on which conclusions are based. It is not coincidental that in the recent 'climategate' controversies, the quality and integrity of data and their analytical treatment were central to the debate. There is recent evidence that even when scientific data are requested for evaluation they may not be available. The history of dissemination of scientific results has been marked by paradigm shifts driven by the emergence of new technologies. In recent decades, the advance of computer-based technology linked to global communications networks has created the potential for broader and more consistent dissemination of scientific information and data. Yet, in this digital era, scientists and conservationists, organizations and institutions have often been slow to make data available. Community studies suggest that the withholding of data can be attributed to a lack of awareness, to a lack of technical capacity, to concerns that data should be withheld for reasons of perceived personal or organizational self interest, or to lack of adequate mechanisms for attribution. Conclusions There is a clear need for institutionalization of a 'data publishing framework' that can address sociocultural, technical-infrastructural, policy, political and legal constraints, as well as addressing issues of sustainability and financial support. To address these aspects of a data publishing framework - a systematic, standard approach to the formal definition and public disclosure of data - in the context of biodiversity data, the Global Biodiversity Information Facility (GBIF, the single inter-governmental body most clearly mandated to undertake such an effort) convened a Data Publishing Framework Task Group. We conceive this data publishing framework as an environment conducive to ensure free and open access to world's biodiversity data. Here, we present the recommendations of that Task Group, which are intended to encourage free and open access to the worlds' biodiversity data. PMID:22373150

A Framework for Resource and Execution Management

DTIC Science & Technology

2011-06-01

Topic( s ): Topic 4: Information and Knowledge Exploitation Name of Author( s ): Abdeslem Boukhtouta Mohamad Allouche Point of Contact...AUTHOR( S ) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME( S ) AND ADDRESS(ES) Defence R&D Canada - Valcartier...2459 Pie-XI North,Qu?c, QC, CANADA, G3J 1X5, 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME( S ) AND ADDRESS(ES) 10

Integrated consensus-based frameworks for unmanned vehicle routing and targeting assignment

NASA Astrophysics Data System (ADS)

Barnawi, Waleed T.

Unmanned aerial vehicles (UAVs) are increasingly deployed in complex and dynamic environments to perform multiple tasks cooperatively with other UAVs that contribute to overarching mission effectiveness. Studies by the Department of Defense (DoD) indicate future operations may include anti-access/area-denial (A2AD) environments which limit human teleoperator decision-making and control. This research addresses the problem of decentralized vehicle re-routing and task reassignments through consensus-based UAV decision-making. An Integrated Consensus-Based Framework (ICF) is formulated as a solution to the combined single task assignment problem and vehicle routing problem. The multiple assignment and vehicle routing problem is solved with the Integrated Consensus-Based Bundle Framework (ICBF). The frameworks are hierarchically decomposed into two levels. The bottom layer utilizes the renowned Dijkstra's Algorithm. The top layer addresses task assignment with two methods. The single assignment approach is called the Caravan Auction Algorithm (CarA) Algorithm. This technique extends the Consensus-Based Auction Algorithm (CBAA) to provide awareness for task completion by agents and adopt abandoned tasks. The multiple assignment approach called the Caravan Auction Bundle Algorithm (CarAB) extends the Consensus-Based Bundle Algorithm (CBBA) by providing awareness for lost resources, prioritizing remaining tasks, and adopting abandoned tasks. Research questions are investigated regarding the novelty and performance of the proposed frameworks. Conclusions regarding the research questions will be provided through hypothesis testing. Monte Carlo simulations will provide evidence to support conclusions regarding the research hypotheses for the proposed frameworks. The approach provided in this research addresses current and future military operations for unmanned aerial vehicles. However, the general framework implied by the proposed research is adaptable to any unmanned vehicle. Civil applications that involve missions where human observability would be limited could benefit from the independent UAV task assignment, such as exploration and fire surveillance are also notable uses for this approach.

Intelligent Systems Approaches to Product Sound Quality Analysis

NASA Astrophysics Data System (ADS)

Pietila, Glenn M.

As a product market becomes more competitive, consumers become more discriminating in the way in which they differentiate between engineered products. The consumer often makes a purchasing decision based on the sound emitted from the product during operation by using the sound to judge quality or annoyance. Therefore, in recent years, many sound quality analysis tools have been developed to evaluate the consumer preference as it relates to a product sound and to quantify this preference based on objective measurements. This understanding can be used to direct a product design process in order to help differentiate the product from competitive products or to establish an impression on consumers regarding a product's quality or robustness. The sound quality process is typically a statistical tool that is used to model subjective preference, or merit score, based on objective measurements, or metrics. In this way, new product developments can be evaluated in an objective manner without the laborious process of gathering a sample population of consumers for subjective studies each time. The most common model used today is the Multiple Linear Regression (MLR), although recently non-linear Artificial Neural Network (ANN) approaches are gaining popularity. This dissertation will review publicly available published literature and present additional intelligent systems approaches that can be used to improve on the current sound quality process. The focus of this work is to address shortcomings in the current paired comparison approach to sound quality analysis. This research will propose a framework for an adaptive jury analysis approach as an alternative to the current Bradley-Terry model. The adaptive jury framework uses statistical hypothesis testing to focus on sound pairings that are most interesting and is expected to address some of the restrictions required by the Bradley-Terry model. It will also provide a more amicable framework for an intelligent systems approach. Next, an unsupervised jury clustering algorithm is used to identify and classify subgroups within a jury who have conflicting preferences. In addition, a nested Artificial Neural Network (ANN) architecture is developed to predict subjective preference based on objective sound quality metrics, in the presence of non-linear preferences. Finally, statistical decomposition and correlation algorithms are reviewed that can help an analyst establish a clear understanding of the variability of the product sounds used as inputs into the jury study and to identify correlations between preference scores and sound quality metrics in the presence of non-linearities.

Near Real Time Analytics of Human Sensor Networks in the Realm of Big Data

NASA Astrophysics Data System (ADS)

Aulov, O.; Halem, M.

2012-12-01

With the prolific development of social media, emergency responders have an increasing interest in harvesting social media from outlets such as Flickr, Twitter, and Facebook, in order to assess the scale and specifics of extreme events including wild fires, earthquakes, terrorist attacks, oil spills, etc. A number of experimental platforms have successfully been implemented to demonstrate the utilization of social media data in extreme events, including Twitter Earthquake Detector, which relied on tweets for earthquake monitoring; AirTwitter, which used tweets for air quality reporting; and our previous work, using Flickr data as boundary value forcings to improve the forecast of oil beaching in the aftermath of the Deepwater Horizon oil spill. The majority of these platforms addressed a narrow, specific type of emergency and harvested data from a particular outlet. We demonstrate an interactive framework for monitoring, mining and analyzing a plethora of heterogeneous social media sources for a diverse range of extreme events. Our framework consists of three major parts: a real time social media aggregator, a data processing and analysis engine, and a web-based visualization and reporting tool. The aggregator gathers tweets, Facebook comments from fan pages, Google+ posts, forum discussions, blog posts (such as LiveJournal and Blogger.com), images from photo-sharing platforms (such as Flickr, Picasa), videos from video-sharing platforms (youtube, Vimeo), and so forth. The data processing and analysis engine pre-processes the aggregated information and annotates it with geolocation and sentiment information. In many cases, the metadata of the social media posts does not contain geolocation information—-however, a human reader can easily guess from the body of the text what location is discussed. We are automating this task by use of Named Entity Recognition (NER) algorithms and a gazetteer service. The visualization and reporting tool provides a web-based, user-friendly interface that provides time-series analysis and plotting tools, geo-spacial visualization tools with interactive maps, and cause-effect inference tools. We demonstrate how we address big data challenges of monitoring, aggregating and analyzing vast amounts of social media data at a near realtime. As a result, our framework not only allows emergency responders to augment their situational awareness with social media information, but can also allow them to extract geophysical data and incorporate it into their analysis models.

A modified eco-efficiency framework and methodology for advancing the state of practice of sustainability analysis as applied to green infrastructure.

PubMed

Ghimire, Santosh R; Johnston, John M

2017-09-01

We propose a modified eco-efficiency (EE) framework and novel sustainability analysis methodology for green infrastructure (GI) practices used in water resource management. Green infrastructure practices such as rainwater harvesting (RWH), rain gardens, porous pavements, and green roofs are emerging as viable strategies for climate change adaptation. The modified framework includes 4 economic, 11 environmental, and 3 social indicators. Using 6 indicators from the framework, at least 1 from each dimension of sustainability, we demonstrate the methodology to analyze RWH designs. We use life cycle assessment and life cycle cost assessment to calculate the sustainability indicators of 20 design configurations as Decision Management Objectives (DMOs). Five DMOs emerged as relatively more sustainable along the EE analysis Tradeoff Line, and we used Data Envelopment Analysis (DEA), a widely applied statistical approach, to quantify the modified EE measures as DMO sustainability scores. We also addressed the subjectivity and sensitivity analysis requirements of sustainability analysis, and we evaluated the performance of 10 weighting schemes that included classical DEA, equal weights, National Institute of Standards and Technology's stakeholder panel, Eco-Indicator 99, Sustainable Society Foundation's Sustainable Society Index, and 5 derived schemes. We improved upon classical DEA by applying the weighting schemes to identify sustainability scores that ranged from 0.18 to 1.0, avoiding the nonuniqueness problem and revealing the least to most sustainable DMOs. Our methodology provides a more comprehensive view of water resource management and is generally applicable to GI and industrial, environmental, and engineered systems to explore the sustainability space of alternative design configurations. Integr Environ Assess Manag 2017;13:821-831. Published 2017. This article is a US Government work and is in the public domain in the USA. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC). Published 2017. This article is a US Government work and is in the public domain in the USA. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Graph Theoretical Framework of Brain Networks in Multiple Sclerosis: A Review of Concepts.

PubMed

Fleischer, Vinzenz; Radetz, Angela; Ciolac, Dumitru; Muthuraman, Muthuraman; Gonzalez-Escamilla, Gabriel; Zipp, Frauke; Groppa, Sergiu

2017-11-01

Network science provides powerful access to essential organizational principles of the human brain. It has been applied in combination with graph theory to characterize brain connectivity patterns. In multiple sclerosis (MS), analysis of the brain networks derived from either structural or functional imaging provides new insights into pathological processes within the gray and white matter. Beyond focal lesions and diffuse tissue damage, network connectivity patterns could be important for closely tracking and predicting the disease course. In this review, we describe concepts of graph theory, highlight novel issues of tissue reorganization in acute and chronic neuroinflammation and address pitfalls with regard to network analysis in MS patients. We further provide an outline of functional and structural connectivity patterns observed in MS, spanning from disconnection and disruption on one hand to adaptation and compensation on the other. Moreover, we link network changes and their relation to clinical disability based on the current literature. Finally, we discuss the perspective of network science in MS for future research and postulate its role in the clinical framework. Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy

PubMed Central

Kauppi, Tomi; Kämäräinen, Joni-Kristian; Kalesnykiene, Valentina; Sorri, Iiris; Uusitalo, Hannu; Kälviäinen, Heikki

2013-01-01

We address the performance evaluation practices for developing medical image analysis methods, in particular, how to establish and share databases of medical images with verified ground truth and solid evaluation protocols. Such databases support the development of better algorithms, execution of profound method comparisons, and, consequently, technology transfer from research laboratories to clinical practice. For this purpose, we propose a framework consisting of reusable methods and tools for the laborious task of constructing a benchmark database. We provide a software tool for medical image annotation helping to collect class label, spatial span, and expert's confidence on lesions and a method to appropriately combine the manual segmentations from multiple experts. The tool and all necessary functionality for method evaluation are provided as public software packages. As a case study, we utilized the framework and tools to establish the DiaRetDB1 V2.1 database for benchmarking diabetic retinopathy detection algorithms. The database contains a set of retinal images, ground truth based on information from multiple experts, and a baseline algorithm for the detection of retinopathy lesions. PMID:23956787

Visualization of metabolic interaction networks in microbial communities using VisANT 5.0

DOE PAGES

Granger, Brian R.; Chang, Yi -Chien; Wang, Yan; ...

2016-04-15

Here, the complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the visual exploration of metabolic interaction between microbes in a community, e.g. as predicted by COMETS (Computation of Microbial Ecosystems in Time and Space), a dynamic stoichiometric modeling framework. Using VisANT's unique meta-graph implementation, we show how one can use VisANT 5.0 to explore different time-dependent ecosystem-level metabolic networks. In particular, we analyze the metabolic interaction networkmore » between two bacteria previously shown to display an obligate cross-feeding interdependency. In addition, we illustrate how a putative minimal gut microbiome community could be represented in our framework, making it possible to highlight interactions across multiple coexisting species. We envisage that the "symbiotic layout" of VisANT can be employed as a general tool for the analysis of metabolism in complex microbial communities as well as heterogeneous human tissues.« less

Developing an Evidence Base for Policies and Interventions to Address Health Inequalities: The Analysis of “Public Health Regimes”

PubMed Central

Asthana, Sheena; Halliday, Joyce

2006-01-01

Systematic reviews have become an important methodology in the United Kingdom by which research informs health policy, and their use now extends beyond evidence-based medicine to evidence-based public health and, particularly, health inequalities policies. This article reviews the limitations of systematic reviews as stand-alone tools for this purpose and suggests a complementary approach to make better use of the evidence. That is, systematic reviews and other sources of evidence should be incorporated into a wider analytical framework, the public health regime (defined here as the specific legislative, social, political, and economic structures that have an impact on both public health and the appropriateness and effectiveness of public health interventions adopted). At the national level this approach would facilitate analysis at all levels of the policy framework, countering the current focus on individual interventions. It could also differentiate at the international level between those policies and interventions that are effective in different contexts and are therefore potentially generalizable and those that depend on particular conditions for success. PMID:16953811

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

Granger, Brian R.; Chang, Yi -Chien; Wang, Yan

Here, the complexity of metabolic networks in microbial communities poses an unresolved visualization and interpretation challenge. We address this challenge in the newly expanded version of a software tool for the analysis of biological networks, VisANT 5.0. We focus in particular on facilitating the visual exploration of metabolic interaction between microbes in a community, e.g. as predicted by COMETS (Computation of Microbial Ecosystems in Time and Space), a dynamic stoichiometric modeling framework. Using VisANT's unique meta-graph implementation, we show how one can use VisANT 5.0 to explore different time-dependent ecosystem-level metabolic networks. In particular, we analyze the metabolic interaction networkmore » between two bacteria previously shown to display an obligate cross-feeding interdependency. In addition, we illustrate how a putative minimal gut microbiome community could be represented in our framework, making it possible to highlight interactions across multiple coexisting species. We envisage that the "symbiotic layout" of VisANT can be employed as a general tool for the analysis of metabolism in complex microbial communities as well as heterogeneous human tissues.« less

Health and foreign policy in question: the case of humanitarian action.

PubMed

Thieren, Michel

2007-03-01

Health has gained recognition as a foreign policy concern in recent years. Political leaders increasingly address global health problems within their international relations agendas. The confluence of health and foreign policy has opened these issues to analysis that helps clarify the tenets and determinants of this linkage, offering a new framework for international health policy. Yet as health remains profoundly bound to altruistic values, caution is required before generalizing about the positive outcomes of merging international health and foreign policy principles. In particular, the possible side-effects of this framework deserve further consideration. This paper examines the interaction of health and foreign policy in humanitarian action, where public health and foreign policy are often in direct conflict. Using a case-based approach, this analysis shows that health and foreign policy need not be at odds in this context, although there are situations where altruistic and interest-based values compete. The hierarchy of foreign policy functions must be challenged to avoid misuse of national authority where health interventions do not coincide with national security and domestic interests.

Trainee experiences of intellectual disability psychiatry and an innovative leaderless support group: a qualitative study

PubMed Central

Spackman, Ross; Toogood, Hannah; Kerridge, Jayne; Nash, Jon; Anderson, Elizabeth; Rai, Dheeraj

2017-01-01

Aims and method There is very little research into the challenges of training in intellectual disability psychiatry or into interventions which may address these challenges. Using focus groups, we explored the experiences of intellectual disability psychiatry trainees, and evaluated a leaderless trainee support group developed in Bristol. Results Five distinct themes were identified via framework analysis: that trainees felt unprepared for the difference from previous posts; the need for support; the value of the group; that trainees were concerned about judgement in supervision; that the group structure was valued. Clinical implications Our findings highlight the support needs specific to intellectual disability psychiatry trainees. Leaderless peer support groups may be a valued resource to address such issues, and may be a useful model to be considered by other training schemes. PMID:28811919

Integrated Framework for Patient Safety and Energy Efficiency in Healthcare Facilities Retrofit Projects.

PubMed

Mohammadpour, Atefeh; Anumba, Chimay J; Messner, John I

2016-07-01

There is a growing focus on enhancing energy efficiency in healthcare facilities, many of which are decades old. Since replacement of all aging healthcare facilities is not economically feasible, the retrofitting of these facilities is an appropriate path, which also provides an opportunity to incorporate energy efficiency measures. In undertaking energy efficiency retrofits, it is vital that the safety of the patients in these facilities is maintained or enhanced. However, the interactions between patient safety and energy efficiency have not been adequately addressed to realize the full benefits of retrofitting healthcare facilities. To address this, an innovative integrated framework, the Patient Safety and Energy Efficiency (PATSiE) framework, was developed to simultaneously enhance patient safety and energy efficiency. The framework includes a step -: by -: step procedure for enhancing both patient safety and energy efficiency. It provides a structured overview of the different stages involved in retrofitting healthcare facilities and improves understanding of the intricacies associated with integrating patient safety improvements with energy efficiency enhancements. Evaluation of the PATSiE framework was conducted through focus groups with the key stakeholders in two case study healthcare facilities. The feedback from these stakeholders was generally positive, as they considered the framework useful and applicable to retrofit projects in the healthcare industry. © The Author(s) 2016.

Defining a Communications Satellite Policy System for the 21st Century: A Model for a International Legal Framework and A New _Code of Conduct_

NASA Astrophysics Data System (ADS)

Pelton, Joseph N.

1996-02-01

This paper addresses the changing international communications environment and explores the key elements of a new policy framework for the 21st Century. It addresses the issues related to changing markets, trade considerations, standards, regulatory changes and international institutions and law. The most important aspects will related to new international policy and regulatory frameworks and in particular to a new international code of ethics and behavior in the field of satellite communications. A new communications satellite policy framework requires systematically addressing the following points: • Multi-lateral agreements at the nation state and the operating entity level • Systematic means to access both private and public capital • Meshing ITU regulations with regional and national policy guidelines including • landing rights" and national allocation procedures. • Systematic approach to local partnerships • Resolving the issue of the relative standing of various satellite systems (i.e. GEO, MEO, and LEO systems) • Resolving the rights, duties, and priorities of satellite facility providers versus types of service prviders. Beyond this policy framework and generalized legal infrastructure there is also another need. This is a need that arises from both increased globalism and competitive international markets. This is what might quite simply be called a "code of reasonable conduct:" To provide global and international communications services effectively and well in the 21st Century will require more than meeting minimum international legal requirements. A new "code of conduct" for global satellite communications will thus likely need to address: • Privacy and surveillance • Ethics of transborder data flow • Censorship and moral values • Cultural and linguistic sensitivity • Freedom of the press and respect for journalistic standards As expanding global information and telecommunications systems grow and impact every aspect of modern life, the need for new international policy and especially new suitable standards of conduct in the field of satellite communications become ever more apparent and necessary.

Still Subversive after All These Years: The Relevance of Feminist Therapy in the Age of Evidence-Based Practice

ERIC Educational Resources Information Center

Brown, Laura S.

2006-01-01

In this article, based on my Carolyn Wood Sherif Memorial Award Address, I address questions of the viability of feminist practice in the current zeitgeist. Using the framework of responding to questions raised by doctoral students about feminist therapy, I address how feminist practice aligns with the evidence-based practice movement,…

Eli Lilly and Company's bioethics framework for human biomedical research.

PubMed

Van Campen, Luann E; Therasse, Donald G; Klopfenstein, Mitchell; Levine, Robert J

2015-11-01

Current ethics and good clinical practice guidelines address various aspects of pharmaceutical research and development, but do not comprehensively address the bioethical responsibilities of sponsors. To fill this void, in 2010 Eli Lilly and Company developed and implemented a Bioethics Framework for Human Biomedical Research to guide ethical decisions. (See our companion article that describes how the framework was developed and implemented and provides a critique of its usefulness and limitations.) This paper presents the actual framework that serves as a company resource for employee education and bioethics deliberations. The framework consists of four basic ethical principles and 13 essential elements for ethical human biomedical research and resides within the context of our company's mission, vision and values. For each component of the framework, we provide a high-level overview followed by a detailed description with cross-references to relevant well regarded guidance documents. The principles and guidance described should be familiar to those acquainted with research ethics. Therefore the novelty of the framework lies not in the foundational concepts presented as much as the attempt to specify and compile a sponsor's bioethical responsibilities to multiple stakeholders into one resource. When such a framework is employed, it can serve as a bioethical foundation to inform decisions and actions throughout clinical planning, trial design, study implementation and closeout, as well as to inform company positions on bioethical issues. The framework is, therefore, a useful tool for translating ethical aspirations into action - to help ensure pharmaceutical human biomedical research is conducted in a manner that aligns with consensus ethics principles, as well as a sponsor's core values.

BEACON: A Summary Framework to Overcome Potential Reimbursement Hurdles.

PubMed

Dunlop, William C N; Mullins, C Daniel; Pirk, Olaf; Goeree, Ron; Postma, Maarten J; Enstone, Ashley; Heron, Louise

2016-10-01

To provide a framework for addressing payers' criteria during the development of pharmaceuticals. A conceptual framework was presented to an international health economic expert panel for discussion. A structured literature search (from 2010 to May 2015), using the following databases in Ovid: Medline(®) and Medline(®) In-Process (PubMed), Embase (Ovid), EconLit (EBSCOhost) and the National Health Service Economic Evaluation Database (NHS EED), and a 'grey literature' search, were conducted to identify existing criteria from the payer perspective. The criteria assessed by existing frameworks and guidelines were collated; the most commonly reported criteria were considered for inclusion in the framework. A mnemonic was conceived as a memory aide to summarise these criteria. Overall, 41 publications were identified as potentially relevant to the objective. Following further screening, 26 were excluded upon full-text review on the basis of no framework presented (n = 13), redundancy (n = 11) or abstract only (n = 2). Frameworks that captured criteria developed for or utilised by the pharmaceutical industry (n = 5) and reimbursement guidance (n = 10) were reviewed. The most commonly identified criteria-unmet need/patient burden, safety, efficacy, quality-of-life outcomes, environment, evidence quality, budget impact and comparator-were incorporated into the summary framework. For ease of communication, the following mnemonic was developed: BEACON (Burden/target population, Environment, Affordability/value, Comparator, Outcomes, Number of studies/quality of evidence). The BEACON framework aims to capture the 'essence' of payer requirements by addressing the most commonly described criteria requested by payers regarding the introduction of a new pharmaceutical.

Developing a Framework to Help Bedside Nurses Bring About Change.

PubMed

Porter, Jordan S; Strout, Kelley A

2016-12-01

: Nurses across all care settings and experience levels are being called upon to lead. In a 2011 report, The Future of Nursing: Leading Change, Advancing Health, the Institute of Medicine examined the ways nurses could more fully apply their knowledge of direct patient care to address the increasing demands placed on the health care system since the passage of the Affordable Care Act. The report asked: "What roles can nursing assume to address the increasing demand for safe, high-quality, and effective health care services?"Multiple variables influence a nurse's ability to assume a leadership role, and multiple barriers to these roles continue to exist. This article uses the first-person voice to share the experience of a new graduate nurse in a formal nurse residency program who found himself in a position to identify the need for, advocate for, and ultimately influence a policy change in the staffing practice of floating as it was applied to new RNs on his unit. In a retrospective analysis of the process, the new graduate RN and his former professor acting as a writing mentor developed a leadership framework for nurses called RN LEADER, which they hope will empower and guide other nurses to lead evidence-based change in their workplaces.

Institutional misfit and environmental change: A systems approach to address ocean acidification.

PubMed

Ekstrom, Julia A; Crona, Beatrice I

2017-01-15

Emerging environmental threats often lack sufficient governance to address the full extent of the problem. An example is ocean acidification which is a growing concern in fishing and aquaculture economies worldwide, but has remained a footnote in environmental policy at all governance levels. However, existing legal jurisdictions do account for some aspects of the system relating to ocean acidification and these may be leveraged to support adapting to and mitigating ocean acidification. We refine and apply a methodological framework that helps objectively evaluate governance, from a social-ecological systems perspective. We assess how well a set of extant US institutions fits with the social-ecological interactions pertinent to ocean acidification. The assessment points to measured legal gaps, for which we evaluate the government authorities most appropriate to help fill these gaps. The analysis is conducted on United State federal statutes and regulations. Results show quantitative improvement of institutional fit over time (2006 to 2013), but a substantial number of measured legal gaps persist especially around acknowledging local sources of acidification and adaptation strategies to deal with or avoid impacts. We demonstrate the utility of this framework to evaluate the governance surrounding any emerging environmental threat as a first step to guiding the development of jurisdictionally realistic solutions. Copyright © 2016 Elsevier B.V. All rights reserved.

Policy Brief: What is the Legal Framework for Automated Vehicles in Texas?

DOT National Transportation Integrated Search

2017-11-01

During the 85th Texas Legislature in 2017, Texas enacted a law related to automated vehicles. The bill, SB 2205, creates the legal framework for automated vehicle operation and testing in Texas. Although this law addresses a number of issues that can...

The Maryland Youth Suicide Prevention School Program.

ERIC Educational Resources Information Center

Maryland State Dept. of Education, Baltimore.

The Maryland State Department of Education developed this framework for a suicide prevention program. The program framework addresses the following goals: (1) increase awareness among school personnel and community awareness among school personnel and community leaders of the incidence of teenage suicide; (2) train school personnel in individual…

EFFECTS-BASED CUMULATIVE RISK ASSESSMENT IN A LOW-INCOME URBAN COMMUNITY NEAR A SUPERFUND SITE

EPA Science Inventory

We will introduce into the cumulative risk assessment framework novel methods for non-cancer risk assessment, techniques for dose-response modeling that extend insights from chemical mixtures frameworks to non-chemical stressors, multilevel statistical methods used to address ...

Emotional Intelligence and Emotion Work: Examining Constructs from an Interdisciplinary Framework

ERIC Educational Resources Information Center

Opengart, Rose

2005-01-01

Emotional intelligence and emotion work are two research areas traditionally presented as distinct. This article reviews their definitions, examines their intersections, and illustrates the advantage of approaching emotion research from an interdisciplinary framework. Conclusions address the following: (a) An employee's emotional intelligence or…

A Framework for Understanding Physics Students' Computational Modeling Practices

NASA Astrophysics Data System (ADS)

Lunk, Brandon Robert

With the growing push to include computational modeling in the physics classroom, we are faced with the need to better understand students' computational modeling practices. While existing research on programming comprehension explores how novices and experts generate programming algorithms, little of this discusses how domain content knowledge, and physics knowledge in particular, can influence students' programming practices. In an effort to better understand this issue, I have developed a framework for modeling these practices based on a resource stance towards student knowledge. A resource framework models knowledge as the activation of vast networks of elements called "resources." Much like neurons in the brain, resources that become active can trigger cascading events of activation throughout the broader network. This model emphasizes the connectivity between knowledge elements and provides a description of students' knowledge base. Together with resources resources, the concepts of "epistemic games" and "frames" provide a means for addressing the interaction between content knowledge and practices. Although this framework has generally been limited to describing conceptual and mathematical understanding, it also provides a means for addressing students' programming practices. In this dissertation, I will demonstrate this facet of a resource framework as well as fill in an important missing piece: a set of epistemic games that can describe students' computational modeling strategies. The development of this theoretical framework emerged from the analysis of video data of students generating computational models during the laboratory component of a Matter & Interactions: Modern Mechanics course. Student participants across two semesters were recorded as they worked in groups to fix pre-written computational models that were initially missing key lines of code. Analysis of this video data showed that the students' programming practices were highly influenced by their existing physics content knowledge, particularly their knowledge of analytic procedures. While this existing knowledge was often applied in inappropriate circumstances, the students were still able to display a considerable amount of understanding of the physics content and of analytic solution procedures. These observations could not be adequately accommodated by the existing literature of programming comprehension. In extending the resource framework to the task of computational modeling, I model students' practices in terms of three important elements. First, a knowledge base includes re- sources for understanding physics, math, and programming structures. Second, a mechanism for monitoring and control describes students' expectations as being directed towards numerical, analytic, qualitative or rote solution approaches and which can be influenced by the problem representation. Third, a set of solution approaches---many of which were identified in this study---describe what aspects of the knowledge base students use and how they use that knowledge to enact their expectations. This framework allows us as researchers to track student discussions and pinpoint the source of difficulties. This work opens up many avenues of potential research. First, this framework gives researchers a vocabulary for extending Resource Theory to other domains of instruction, such as modeling how physics students use graphs. Second, this framework can be used as the basis for modeling expert physicists' programming practices. Important instructional implications also follow from this research. Namely, as we broaden the use of computational modeling in the physics classroom, our instructional practices should focus on helping students understand the step-by-step nature of programming in contrast to the already salient analytic procedures.

Strategy for Addressing the Retail Sector under the Resource Conservation and Recovery Act's Regulatory Framework

EPA Pesticide Factsheets

The Retail Strategy lays out a cohesive and effective plan to address the unique challenges the retail sector has with complying with the hazardous waste regulations while reducing burden and protecting human health and the environment.

A Robust Decision-Making Technique for Water Management under Decadal Scale Climate Variability

NASA Astrophysics Data System (ADS)

Callihan, L.; Zagona, E. A.; Rajagopalan, B.

2013-12-01

Robust decision making, a flexible and dynamic approach to managing water resources in light of deep uncertainties associated with climate variability at inter-annual to decadal time scales, is an analytical framework that detects when a system is in or approaching a vulnerable state. It provides decision makers the opportunity to implement strategies that both address the vulnerabilities and perform well over a wide range of plausible future scenarios. A strategy that performs acceptably over a wide range of possible future states is not likely to be optimal with respect to the actual future state. The degree of success--the ability to avoid vulnerable states and operate efficiently--thus depends on the skill in projecting future states and the ability to select the most efficient strategies to address vulnerabilities. This research develops a robust decision making framework that incorporates new methods of decadal scale projections with selection of efficient strategies. Previous approaches to water resources planning under inter-annual climate variability combining skillful seasonal flow forecasts with climatology for subsequent years are not skillful for medium term (i.e. decadal scale) projections as decision makers are not able to plan adequately to avoid vulnerabilities. We address this need by integrating skillful decadal scale streamflow projections into the robust decision making framework and making the probability distribution of this projection available to the decision making logic. The range of possible future hydrologic scenarios can be defined using a variety of nonparametric methods. Once defined, an ensemble projection of decadal flow scenarios are generated from a wavelet-based spectral K-nearest-neighbor resampling approach using historical and paleo-reconstructed data. This method has been shown to generate skillful medium term projections with a rich variety of natural variability. The current state of the system in combination with the probability distribution of the projected flow ensembles enables the selection of appropriate decision options. This process is repeated for each year of the planning horizon--resulting in system outcomes that can be evaluated on their performance and resiliency. The research utilizes the RiverSMART suite of software modeling and analysis tools developed under the Bureau of Reclamation's WaterSMART initiative and built around the RiverWare modeling environment. A case study is developed for the Gunnison and Upper Colorado River Basins. The ability to mitigate vulnerability using the framework is gauged by system performance indicators that measure the ability of the system to meet various water demands (i.e. agriculture, environmental flows, hydropower etc.). Options and strategies for addressing vulnerabilities include measures such as conservation, reallocation and adjustments to operational policy. In addition to being able to mitigate vulnerabilities, options and strategies are evaluated based on benefits, costs and reliability. Flow ensembles are also simulated to incorporate mean and variance from climate change projections for the planning horizon and the above robust decision-making framework is applied to evaluate its performance under changing climate.

A New Framework for Analysis of Coevolutionary Systems-Directed Graph Representation and Random Walks.

PubMed

Chong, Siang Yew; Tiňo, Peter; He, Jun; Yao, Xin

2017-11-20

Studying coevolutionary systems in the context of simplified models (i.e., games with pairwise interactions between coevolving solutions modeled as self plays) remains an open challenge since the rich underlying structures associated with pairwise-comparison-based fitness measures are often not taken fully into account. Although cyclic dynamics have been demonstrated in several contexts (such as intransitivity in coevolutionary problems), there is no complete characterization of cycle structures and their effects on coevolutionary search. We develop a new framework to address this issue. At the core of our approach is the directed graph (digraph) representation of coevolutionary problems that fully captures structures in the relations between candidate solutions. Coevolutionary processes are modeled as a specific type of Markov chains-random walks on digraphs. Using this framework, we show that coevolutionary problems admit a qualitative characterization: a coevolutionary problem is either solvable (there is a subset of solutions that dominates the remaining candidate solutions) or not. This has an implication on coevolutionary search. We further develop our framework that provides the means to construct quantitative tools for analysis of coevolutionary processes and demonstrate their applications through case studies. We show that coevolution of solvable problems corresponds to an absorbing Markov chain for which we can compute the expected hitting time of the absorbing class. Otherwise, coevolution will cycle indefinitely and the quantity of interest will be the limiting invariant distribution of the Markov chain. We also provide an index for characterizing complexity in coevolutionary problems and show how they can be generated in a controlled manner.

Applicability Analysis of Validation Evidence for Biomedical Computational Models

DOE PAGES

Pathmanathan, Pras; Gray, Richard A.; Romero, Vicente J.; ...

2017-09-07

Computational modeling has the potential to revolutionize medicine the way it transformed engineering. However, despite decades of work, there has only been limited progress to successfully translate modeling research to patient care. One major difficulty which often occurs with biomedical computational models is an inability to perform validation in a setting that closely resembles how the model will be used. For example, for a biomedical model that makes in vivo clinically relevant predictions, direct validation of predictions may be impossible for ethical, technological, or financial reasons. Unavoidable limitations inherent to the validation process lead to challenges in evaluating the credibilitymore » of biomedical model predictions. Therefore, when evaluating biomedical models, it is critical to rigorously assess applicability, that is, the relevance of the computational model, and its validation evidence to the proposed context of use (COU). However, there are no well-established methods for assessing applicability. In this paper, we present a novel framework for performing applicability analysis and demonstrate its use with a medical device computational model. The framework provides a systematic, step-by-step method for breaking down the broad question of applicability into a series of focused questions, which may be addressed using supporting evidence and subject matter expertise. The framework can be used for model justification, model assessment, and validation planning. While motivated by biomedical models, it is relevant to a broad range of disciplines and underlying physics. Finally, the proposed applicability framework could help overcome some of the barriers inherent to validation of, and aid clinical implementation of, biomedical models.« less

A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets.

PubMed

Wang, Nizhuan; Chang, Chunqi; Zeng, Weiming; Shi, Yuhu; Yan, Hongjie

2017-01-01

Independent component analysis (ICA) has been widely used in functional magnetic resonance imaging (fMRI) data analysis to evaluate functional connectivity of the brain; however, there are still some limitations on ICA simultaneously handling neuroimaging datasets with diverse acquisition parameters, e.g., different repetition time, different scanner, etc. Therefore, it is difficult for the traditional ICA framework to effectively handle ever-increasingly big neuroimaging datasets. In this research, a novel feature-map based ICA framework (FMICA) was proposed to address the aforementioned deficiencies, which aimed at exploring brain functional networks (BFNs) at different scales, e.g., the first level (individual subject level), second level (intragroup level of subjects within a certain dataset) and third level (intergroup level of subjects across different datasets), based only on the feature maps extracted from the fMRI datasets. The FMICA was presented as a hierarchical framework, which effectively made ICA and constrained ICA as a whole to identify the BFNs from the feature maps. The simulated and real experimental results demonstrated that FMICA had the excellent ability to identify the intergroup BFNs and to characterize subject-specific and group-specific difference of BFNs from the independent component feature maps, which sharply reduced the size of fMRI datasets. Compared with traditional ICAs, FMICA as a more generalized framework could efficiently and simultaneously identify the variant BFNs at the subject-specific, intragroup, intragroup-specific and intergroup levels, implying that FMICA was able to handle big neuroimaging datasets in neuroscience research.