Points to consider for prioritizing clinical genetic testing services: a European consensus process oriented at accountability for reasonableness.

PubMed

Severin, Franziska; Borry, Pascal; Cornel, Martina C; Daniels, Norman; Fellmann, Florence; Victoria Hodgson, Shirley; Howard, Heidi C; John, Jürgen; Kääriäinen, Helena; Kayserili, Hülya; Kent, Alastair; Koerber, Florian; Kristoffersson, Ulf; Kroese, Mark; Lewis, Celine; Marckmann, Georg; Meyer, Peter; Pfeufer, Arne; Schmidtke, Jörg; Skirton, Heather; Tranebjærg, Lisbeth; Rogowski, Wolf H

2015-06-01

Given the cost constraints of the European health-care systems, criteria are needed to decide which genetic services to fund from the public budgets, if not all can be covered. To ensure that high-priority services are available equitably within and across the European countries, a shared set of prioritization criteria would be desirable. A decision process following the accountability for reasonableness framework was undertaken, including a multidisciplinary EuroGentest/PPPC-ESHG workshop to develop shared prioritization criteria. Resources are currently too limited to fund all the beneficial genetic testing services available in the next decade. Ethically and economically reflected prioritization criteria are needed. Prioritization should be based on considerations of medical benefit, health need and costs. Medical benefit includes evidence of benefit in terms of clinical benefit, benefit of information for important life decisions, benefit for other people apart from the person tested and the patient-specific likelihood of being affected by the condition tested for. It may be subject to a finite time window. Health need includes the severity of the condition tested for and its progression at the time of testing. Further discussion and better evidence is needed before clearly defined recommendations can be made or a prioritization algorithm proposed. To our knowledge, this is the first time a clinical society has initiated a decision process about health-care prioritization on a European level, following the principles of accountability for reasonableness. We provide points to consider to stimulate this debate across the EU and to serve as a reference for improving patient management.

Enabling task-based information prioritization via semantic web encodings

NASA Astrophysics Data System (ADS)

Michaelis, James R.

2016-05-01

Modern Soldiers rely upon accurate and actionable information technology to achieve mission objectives. While increasingly rich sensor networks for Areas of Operation (AO) can offer many directions for aiding Soldiers, limitations are imposed by current tactical edge systems on the rate that content can be transmitted. Furthermore, mission tasks will often require very specific sets of information which may easily be drowned out by other content sources. Prior research on Quality and Value of Information (QoI/VoI) has aimed to define ways to prioritize information objects based on their intrinsic attributes (QoI) and perceived value to a consumer (VoI). As part of this effort, established ranking approaches for obtaining Subject Matter Expert (SME) recommendations, such as the Analytic Hierarchy Process (AHP) have been considered. However, limited work has been done to tie Soldier context - such as descriptions of their mission and tasks - back to intrinsic attributes of information objects. As a first step toward addressing the above challenges, this work introduces an ontology-backed approach - rooted in Semantic Web publication practices - for expressing both AHP decision hierarchies and corresponding SME feedback. Following a short discussion on related QoI/VoI research, an ontology-based data structure is introduced for supporting evaluation of Information Objects, using AHP rankings designed to facilitate information object prioritization. Consistent with alternate AHP approaches, prioritization in this approach is based on pairwise comparisons between Information Objects with respect to established criteria, as well as on pairwise comparison of the criteria to assess their relative importance. The paper concludes with a discussion of both ongoing and future work.

Is the Survival-Processing Memory Advantage Due to Richness of Encoding?

ERIC Educational Resources Information Center

Röer, Jan P.; Bell, Raoul; Buchner, Axel

2013-01-01

Memory for words rated according to their relevance in a grassland survival context is exceptionally good. According to Nairne, Thompson, and Pandeirada's (2007) evolutionary-based explanation, natural selection processes have tuned the human memory system to prioritize the processing of fitness-relevant information. The survival-processing memory…

Ensuring relevance for Cochrane reviews: evaluating processes and methods for prioritizing topics for Cochrane reviews.

PubMed

Nasser, Mona; Welch, Vivian; Tugwell, Peter; Ueffing, Erin; Doyle, Jodie; Waters, Elizabeth

2013-05-01

The purpose of this study was to assess the presence and effectiveness of existing systems of prioritization for Cochrane review topics and to explore methods of improving those systems. We surveyed groups of Cochrane review authors and recorded any evidence of their use of priority-setting processes or policies. To evaluate the effectiveness of the policies we encountered, we assessed them using two frameworks from the literature: "Accountability for Reasonableness" (1) and Sibbald's 2009 framework (2) for successful priority setting. We then held two workshops with the subject groups to discuss our findings and their implications. Of the 66 groups surveyed, 29 had a system in place to inform the selection or prioritization of topics for Cochrane reviews. Fifteen groups used a more comprehensive structured approach that eventually resulted in a list of ranked priority titles for authoring, updating, or disseminating Cochrane reviews. Most groups involved researchers, practitioners, and patients in their prioritization processes. Groups within The Cochrane Collaboration currently use a range of different priority-setting systems, some of which are more detailed than others. These differences often reflect the nature of The Cochrane Collaboration itself: given the topic breadth, history, and variety of international contexts present in the organization, a single unified system would not always be appropriate. All Cochrane entities, however, should have or develop strategic plans to improve the inclusiveness and transparency of their own prioritization processes, increase the number of finished prioritized reviews, and make more effective use of feedback from end users to increase the likelihood of producing reviews that have positive effects on health outcomes. Copyright © 2013 Elsevier Inc. All rights reserved.

On the Role of Working Memory in Spatial Contextual Cueing

ERIC Educational Resources Information Center

Travis, Susan L.; Mattingley, Jason B.; Dux, Paul E.

2013-01-01

The human visual system receives more information than can be consciously processed. To overcome this capacity limit, we employ attentional mechanisms to prioritize task-relevant (target) information over less relevant (distractor) information. Regularities in the environment can facilitate the allocation of attention, as demonstrated by the…

Safety first: Instrumentality for reaching safety determines attention allocation under threat.

PubMed

Vogt, Julia; Koster, Ernst H W; De Houwer, Jan

2017-04-01

Theories of attention to emotional information suggest that attentional processes prioritize threatening information. In this article, we suggest that attention will prioritize the events that are most instrumental to a goal in any given context, which in threatening situations is typically reaching safety. To test our hypotheses, we used an attentional cueing paradigm that contained cues signaling imminent threat (i.e., aversive noises) as well as cues that allowed participants to avoid threat (instrumental safety signals). Correct reactions to instrumental safety signals seemingly allowed participants to lower the presentation rate of the threat. Experiment 1 demonstrates that attention prioritizes instrumental safety signals over threat signals. Experiment 2 replicates this finding and additionally compares instrumental safety signals to other action-relevant signals controlling for action relevance as cause of the effects. Experiment 3 demonstrates that when actions toward threat signals permit to avoid threat, attention prioritizes threat signals. Taken together, these results support the view that instrumentality for reaching safety determines the allocation of attention under threat. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Concept Mapping

ERIC Educational Resources Information Center

Technology & Learning, 2005

2005-01-01

Concept maps are graphical ways of working with ideas and presenting information. They reveal patterns and relationships and help students to clarify their thinking, and to process, organize and prioritize. Displaying information visually--in concept maps, word webs, or diagrams--stimulates creativity. Being able to think logically teaches…

Prioritized List of Research Needs to support MRWFD Case Study Flowsheet Advancement

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

Law, Jack Douglas; Soelberg, Nicholas Ray

In FY-13, a case study evaluation was performed of full recycle technologies for both the processing of light-water reactor (LWR) used nuclear fuels as well as fast reactor (FR) fuel in the full recycle option. This effort focused on the identification of the case study processes and the initial preparation of material balance flowsheets for the identified technologies. In identifying the case study flowsheets, it was decided that two cases would be developed: one which identifies the flowsheet as currently developed and another near-term target flowsheet which identifies the flowsheet as envisioned within two years, pending the results of ongoingmore » research. The case study focus is on homogeneous aqueous recycle of the U/TRU resulting from the processing of LWR fuel as feed for metal fuel fabrication. The metal fuel is utilized in a sodium-cooled fast reactor, and the used fast reactor fuel is processed using electrochemical separations. The recovered U/TRU from electrochemical separations is recycled to fuel fabrication and the fast reactor. Waste streams from the aqueous and electrochemical processing are treated and prepared for disposition. Off-gas from the separations and waste processing are also treated. As part of the FY-13 effort, preliminary process unknowns and research needs to advance the near-term target flowsheets were identified. In FY-14, these research needs were updated, expanded and prioritized. This report again updates the prioritized list of research needs based upon results to date in FY-15. The research needs are listed for each of the main portions of the flowsheet: 1) Aqueous headend, 2) Headend tritium pretreatment off-gas, 3) Aqueous U/Pu/Np recovery, 4) Aqueous TRU product solidification, 5) Aqueous actinide/lanthanide separation, 6) Aqueous off-gas treatment, 7) Aqueous HLW management, 8) Treatment of aqueous process wastes, 9) E-chem actinide separations, 10) E-chem off-gas, 11) E-chem HLW management. The identified research needs were prioritized within each of these areas. No effort was made to perform an overall prioritization. This information will be used by the MRWFD Campaign leadership in research planning for FY-16. Additionally, this information will be incorporated into the next version of the Case Study Report scheduled to be issued September 2015.« less

Prioritized LT Codes

NASA Technical Reports Server (NTRS)

Woo, Simon S.; Cheng, Michael K.

2011-01-01

The original Luby Transform (LT) coding scheme is extended to account for data transmissions where some information symbols in a message block are more important than others. Prioritized LT codes provide unequal error protection (UEP) of data on an erasure channel by modifying the original LT encoder. The prioritized algorithm improves high-priority data protection without penalizing low-priority data recovery. Moreover, low-latency decoding is also obtained for high-priority data due to fast encoding. Prioritized LT codes only require a slight change in the original encoding algorithm, and no changes at all at the decoder. Hence, with a small complexity increase in the LT encoder, an improved UEP and low-decoding latency performance for high-priority data can be achieved. LT encoding partitions a data stream into fixed-sized message blocks each with a constant number of information symbols. To generate a code symbol from the information symbols in a message, the Robust-Soliton probability distribution is first applied in order to determine the number of information symbols to be used to compute the code symbol. Then, the specific information symbols are chosen uniform randomly from the message block. Finally, the selected information symbols are XORed to form the code symbol. The Prioritized LT code construction includes an additional restriction that code symbols formed by a relatively small number of XORed information symbols select some of these information symbols from the pool of high-priority data. Once high-priority data are fully covered, encoding continues with the conventional LT approach where code symbols are generated by selecting information symbols from the entire message block including all different priorities. Therefore, if code symbols derived from high-priority data experience an unusual high number of erasures, Prioritized LT codes can still reliably recover both high- and low-priority data. This hybrid approach decides not only "how to encode" but also "what to encode" to achieve UEP. Another advantage of the priority encoding process is that the majority of high-priority data can be decoded sooner since only a small number of code symbols are required to reconstruct high-priority data. This approach increases the likelihood that high-priority data is decoded first over low-priority data. The Prioritized LT code scheme achieves an improvement in high-priority data decoding performance as well as overall information recovery without penalizing the decoding of low-priority data, assuming high-priority data is no more than half of a message block. The cost is in the additional complexity required in the encoder. If extra computation resource is available at the transmitter, image, voice, and video transmission quality in terrestrial and space communications can benefit from accurate use of redundancy in protecting data with varying priorities.

All about the Human Genome Project (HGP)

MedlinePlus

... CSER), and Genome Sequencing Informatics Tools (GS-IT) Comparative Genomics Background information prepared for the media on ... other species to the human sequence. Background on Comparative Genomic Analysis New Process to Prioritize Animal Genomes ...

Road map to a patient-centered research agenda at the intersection of hospital medicine and geriatric medicine.

PubMed

Wald, Heidi L; Leykum, Luci K; Mattison, Melissa L P; Vasilevskis, Eduard E; Meltzer, David O

2014-06-01

As the United States ages, the patient population in acute care hospitals is increasingly older and more medically complex. Despite evidence of a high burden of disease, high costs, and often poor outcomes of care, there is limited understanding of the presentation, diagnostic strategies, and management of acute illness in older adults. In this paper, we present a strategy for the development of a research agenda at the intersection of hospital and geriatric medicine. This approach is informed by the Patient-Centered Outcomes Research Institute (PCORI) framework for identification and prioritization of research areas, emphasizing input from patients and caregivers. The framework's four components are: 1) Topic generation, 2) Gap Analysis in Systematic Review, 3) Value of information (VOI) analysis, and 4) Peer Review. An inclusive process for topic generation requiring the systematic engagement of multiple stakeholders, especially patients, is emphasized. In subsequent steps, researchers and stakeholders prioritize research topics in order to identify areas that optimize patient-centeredness, population impact, impact on clinical decision making, ease of implementation, and durability. Finally, next steps for dissemination of the research agenda and evaluation of the impact of the patient-centered research prioritization process are described.

Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study

PubMed Central

2017-01-01

Background Establishing a validated scale of patient engagement through use of information technology (ie, digital patient engagement) is the first step to understanding its role in health and health care quality, outcomes, and efficient implementation by health care providers and systems. Objective The aim of this study was to develop and prioritize measures of digital patient engagement based on patients’ use of the US Department of Veterans Affairs (VA)’s MyHealtheVet (MHV) portal, focusing on the MHV/Blue Button and Secure Messaging functions. Methods We aligned two models from the information systems and organizational behavior literatures to create a theory-based model of digital patient engagement. On the basis of this model, we conducted ten key informant interviews to identify potential measures from existing VA studies and consolidated the measures. We then conducted three rounds of modified Delphi rating by 12 national eHealth experts via Web-based surveys to prioritize the measures. Results All 12 experts completed the study’s three rounds of modified Delphi ratings, resulting in two sets of final candidate measures representing digital patient engagement for Secure Messaging (58 measures) and MHV/Blue Button (71 measures). These measure sets map to Donabedian’s three types of quality measures: (1) antecedents (eg, patient demographics); (2) processes (eg, a novel measure of Web-based care quality); and (3) outcomes (eg, patient engagement). Conclusions This national expert panel study using a modified Delphi technique prioritized candidate measures to assess digital patient engagement through patients’ use of VA’s My HealtheVet portal. The process yielded two robust measures sets prepared for future piloting and validation in surveys among Veterans. PMID:28550008

Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study.

PubMed

Garvin, Lynn A; Simon, Steven R

2017-05-26

Establishing a validated scale of patient engagement through use of information technology (ie, digital patient engagement) is the first step to understanding its role in health and health care quality, outcomes, and efficient implementation by health care providers and systems. The aim of this study was to develop and prioritize measures of digital patient engagement based on patients' use of the US Department of Veterans Affairs (VA)'s MyHealtheVet (MHV) portal, focusing on the MHV/Blue Button and Secure Messaging functions. We aligned two models from the information systems and organizational behavior literatures to create a theory-based model of digital patient engagement. On the basis of this model, we conducted ten key informant interviews to identify potential measures from existing VA studies and consolidated the measures. We then conducted three rounds of modified Delphi rating by 12 national eHealth experts via Web-based surveys to prioritize the measures. All 12 experts completed the study's three rounds of modified Delphi ratings, resulting in two sets of final candidate measures representing digital patient engagement for Secure Messaging (58 measures) and MHV/Blue Button (71 measures). These measure sets map to Donabedian's three types of quality measures: (1) antecedents (eg, patient demographics); (2) processes (eg, a novel measure of Web-based care quality); and (3) outcomes (eg, patient engagement). This national expert panel study using a modified Delphi technique prioritized candidate measures to assess digital patient engagement through patients' use of VA's My HealtheVet portal. The process yielded two robust measures sets prepared for future piloting and validation in surveys among Veterans. ©Lynn A Garvin, Steven R Simon. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.05.2017.

Context-Sensitive Adjustment of Cognitive Control in Dual-Task Performance

ERIC Educational Resources Information Center

Fischer, Rico; Gottschalk, Caroline; Dreisbach, Gesine

2014-01-01

Performing 2 highly similar tasks at the same time requires an adaptive regulation of cognitive control to shield prioritized primary task processing from between-task (cross-talk) interference caused by secondary task processing. In the present study, the authors investigated how implicitly and explicitly delivered information promotes the…

Effective stakeholder participation in setting research priorities using a Global Evidence Mapping approach.

PubMed

Clavisi, Ornella; Bragge, Peter; Tavender, Emma; Turner, Tari; Gruen, Russell L

2013-05-01

We present a multistep process for identifying priority research areas in rehabilitation and long-term care of traumatic brain-injured (TBI) patients. In particular, we aimed to (1) identify which stakeholders should be involved; (2) identify what methods are appropriate; (3) examine different criteria for the generation of research priority areas; and (4) test the feasibility of linkage and exchange among researchers, decision makers, and other potential users of the research. Potential research questions were identified and developed using an initial scoping meeting and preliminary literature search, followed by a facilitated mapping workshop and an online survey. Identified research questions were then prioritized against specific criteria (clinical importance, novelty, and controversy). Existing evidence was then mapped to the high-priority questions using usual processes for search, screening, and selection. A broad range of stakeholders were then brought together at a forum to identify priority research themes for future research investment. Using clinical and research leaders, smaller targeted planning workshops prioritized specific research projects for each of the identified themes. Twenty-six specific questions about TBI rehabilitation were generated, 14 of which were high priority. No one method identified all high-priority questions. Methods that relied solely on the views of clinicians and researchers identified fewer high-priority questions compared with methods that used broader stakeholder engagement. Evidence maps of these high-priority questions yielded a number of evidence gaps. Priority questions and evidence maps were then used to inform a research forum, which identified 12 priority themes for future research. Our research demonstrates the value of a multistep and multimethod process involving many different types of stakeholders for prioritizing research to improve the rehabilitation outcomes of people who have suffered TBI. Enhancing stakeholder representation can be augmented using a combination of methods and a process of linkage and exchange. This process can inform decisions about prioritization of research areas. Copyright © 2013 Elsevier Inc. All rights reserved.

Exposing ecological and economic costs of the research-implementation gap and compromises in decision making.

PubMed

Kareksela, Santtu; Moilanen, Atte; Ristaniemi, Olli; Välivaara, Reima; Kotiaho, Janne S

2018-02-01

The frequently discussed gap between conservation science and practice is manifest in the gap between spatial conservation prioritization plans and their implementation. We analyzed the research-implementation gap of one zoning case by comparing results of a spatial prioritization analysis aimed at avoiding ecological impact of peat mining in a regional zoning process with the final zoning plan. We examined the relatively complex planning process to determine the gaps among research, zoning, and decision making. We quantified the ecological costs of the differing trade-offs between ecological and socioeconomic factors included in the different zoning suggestions by comparing the landscape-level loss of ecological features (species occurrences, habitat area, etc.) between the different solutions for spatial allocation of peat mining. We also discussed with the scientists and planners the reasons for differing zoning suggestions. The implemented plan differed from the scientists suggestion in that its focus was individual ecological features rather than all the ecological features for which there were data; planners and decision makers considered effects of peat mining on areas not included in the prioritization analysis; zoning was not truly seen as a resource-allocation process and not emphasized in general minimizing ecological losses while satisfying economic needs (peat-mining potential); and decision makers based their prioritization of sites on site-level information showing high ecological value and on single legislative factors instead of finding a cost-effective landscape-level solution. We believe that if the zoning and decision-making processes are very complex, then the usefulness of science-based prioritization tools is likely to be reduced. Nevertheless, we found that high-end tools were useful in clearly exposing trade-offs between conservation and resource utilization. © 2017 Society for Conservation Biology.

Risk-based Prioritization of Facility Decommissioning and Environmental Restoration Projects in the National Nuclear Legacy Liabilities Program at the Chalk River Laboratory - 13564

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

Nelson, Jerel G.; Kruzic, Michael; Castillo, Carlos

2013-07-01

Chalk River Laboratory (CRL), located in Ontario Canada, has a large number of remediation projects currently in the Nuclear Legacy Liabilities Program (NLLP), including hundreds of facility decommissioning projects and over one hundred environmental remediation projects, all to be executed over the next 70 years. Atomic Energy of Canada Limited (AECL) utilized WorleyParsons to prioritize the NLLP projects at the CRL through a risk-based prioritization and ranking process, using the WorleyParsons Sequencing Unit Prioritization and Estimating Risk Model (SUPERmodel). The prioritization project made use of the SUPERmodel which has been previously used for other large-scale site prioritization and sequencing ofmore » facilities at nuclear laboratories in the United States. The process included development and vetting of risk parameter matrices as well as confirmation/validation of project risks. Detailed sensitivity studies were also conducted to understand the impacts that risk parameter weighting and scoring had on prioritization. The repeatable prioritization process yielded an objective, risk-based and technically defendable process for prioritization that gained concurrence from all stakeholders, including Natural Resources Canada (NRCan) who is responsible for the oversight of the NLLP. (authors)« less

An Analytical Lens for Studying Informal Learning in Music: Subversion, Embodied Learning and Participatory Performance

ERIC Educational Resources Information Center

Lill, Athena

2014-01-01

Concepts of informal learning in music education have been developed from adult interpretations of the ways in which young people are perceived to learn. Informal learning can therefore be reified or transformed into pedagogy that prioritizes an adult understanding of the processes of learning. This article presents the first part of an analytical…

Investigating habitat value to inform contaminant remediation options: approach

Treesearch

Rebecca A. Efroymson; Mark J. Peterson; Christopher J. Welsh; Daniel L. Druckenbrod; Michael G. Ryon; John G. Smith; William W. Hargrove; Neil R. Giffen; W. Kelly Roy; Harry D. Quarles

2008-01-01

Habitat valuation methods are most often developed and used to prioritize candidate lands for conservation. In this study the intent of habitat valuation was to inform the decision-making process for remediation of chemical contaminants on specific lands or surface water bodies. Methods were developed to summarize dimensions of habitat value for six representative...

NASA Astrophysics Prioritizes Technology Development Funding for Strategic Missions

NASA Astrophysics Data System (ADS)

Thronson, Harley A.; Pham, Bruce; Ganel, Opher

2017-01-01

The Cosmic Origins (COR) and Physics of the Cosmos (PCOS) Program Offices (POs) reside at NASA GSFC and implement priorities for the NASA HQ Astrophysics Division (APD). One major aspect of the POs’ activities is managing our Strategic Astrophysics Technology (SAT) program to mature technologies for future strategic missions. The Programs follow APD guidance on which missions are strategic, currently informed by the NRC’s 2010 Decadal Survey report, as well as APD’s Implementation Plan and the Astrophysics Roadmap.In preparation for the upcoming 2020 Decadal Survey, the APD has established Science and Technology Definition Teams (STDTs) to study four large-mission concepts: the Origins Space Telescope, Habitable Exoplanet Imaging Mission, Large UV/Optical/IR Surveyor, and X-ray Surveyor. The STDTs will develop the science case and design reference mission, assess technology development needs, and estimate the cost of their concept. A fifth team, the L3 Study Team (L3ST), was charged to study potential US contributions to ESA’s planned L3 gravitational-wave observatory.The POs use a rigorous and transparent process to solicit technology gaps from the scientific and technical communities, and prioritize those entries based on strategic alignment, expected impact, cross-cutting applicability, and urgency. Starting in 2016, the technology-gap assessments of the four STDTs and the L3ST are included in our process. Until a study team submits its final report, community-proposed changes to gaps submitted or adopted by a study team are forwarded to that study team for consideration.We discuss our technology development process, with strategic prioritization informing calls for SAT proposals and informing investment decisions. We also present results of this year’s technology gap prioritization and showcase our current portfolio of technology development projects. To date, 77 COR and 80 PCOS SAT proposals have been received, of which 18 COR and 22 PCOS projects were funded (PCOS awards starting in 2017 have yet to be announced). For more information, see the respective Program Annual Technology Reports under the technology tabs of the COR website at cor.gsfc.nasa.gov and the PCOS website at pcos.gsfc.nasa.gov.

Tools for Identifying and Prioritizing Evidence-Based Obesity Prevention Strategies, Colorado

PubMed Central

Juhl, Ashley L.; Gujral, Indira B.; Hoaglin-Wagner, Andrea L.; Gabella, Barbara A.; McDermott, Kristin M.

2013-01-01

Colorado’s adult obesity rate has more than doubled since 1995, prompting its Department of Public Health and Environment to list obesity as its top prevention priority. To initiate comprehensive and effective action, the department used a well-known evidence-based public health framework developed by Brownson and others. This article describes the tools and process developed to conduct 2 of the 7 stages in this framework that challenge public health organizations: reviewing the literature and prioritizing effective strategies from that literature. Forty-five department staff participated in an intensive literature review training to identify physical activity and nutrition strategies that effectively address obesity and worked with external stakeholders to prioritize strategies for the state. Divided into 8 multidisciplinary teams organized by the setting where public health could exert leverage, they scanned the scientific literature to identify potential strategies to implement. These teams were trained to use standardized tools to critique findings, systematically abstract key information, and classify the evidence level for each of 58 identified strategies. Next, departmental subject matter experts and representatives from local public health and nonprofit health agencies selected and applied prioritization criteria to rank the 58 strategies. A team charter, group facilitation tools, and 2 web-based surveys were used in the prioritization stage. This process offered the staff a shared experience to gain hands-on practice completing literature reviews and selecting evidence-based strategies, thereby enhancing Colorado’s obesity prevention efforts and improving public health capacity. Practitioners can use these tools and methodology to replicate this process for other health priorities. PMID:23806801

Hierarchical Active Inference: A Theory of Motivated Control.

PubMed

Pezzulo, Giovanni; Rigoli, Francesco; Friston, Karl J

2018-04-01

Motivated control refers to the coordination of behaviour to achieve affectively valenced outcomes or goals. The study of motivated control traditionally assumes a distinction between control and motivational processes, which map to distinct (dorsolateral versus ventromedial) brain systems. However, the respective roles and interactions between these processes remain controversial. We offer a novel perspective that casts control and motivational processes as complementary aspects - goal propagation and prioritization, respectively - of active inference and hierarchical goal processing under deep generative models. We propose that the control hierarchy propagates prior preferences or goals, but their precision is informed by the motivational context, inferred at different levels of the motivational hierarchy. The ensuing integration of control and motivational processes underwrites action and policy selection and, ultimately, motivated behaviour, by enabling deep inference to prioritize goals in a context-sensitive way. Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.

[Implementation of quality of care indicators for third-level public hospitals in Mexico].

PubMed

Saturno-Hernández, Pedro Jesús; Martínez-Nicolás, Ismael; Poblano-Verástegui, Ofelia; Vértiz-Ramírez, José de Jesús; Suárez-Ortiz, Erasto Cosme; Magaña-Izquierdo, Manuel; Kawa-Karasik, Simón

2017-01-01

To select, pilot test and implement a set of indicators for tertiary public hospitals. Quali-quantitative study in four stages: identification of indicators used internationally; selection and prioritization by utility, feasibility and reliability; exploration of the quality of sources of information in six hospitals; pilot feasibility and reliability, and follow-up measurement. From 143 indicators, 64 were selected and eight were prioritized. The scan revealed sources of information deficient. In the pilot, three indicators were feasible with reliability limited. Has conducted workshops to improve records and sources of information; nine hospitals reported measurements of a quarter. Eight priority indicators could not be measured immediately due to limitations in the data sources for its construction. It is necessary to improve mechanisms of registration and processing of data in this group of hospital.

Can the Analytical Hierarchy Process Model Be Effectively Applied in the Prioritization of Information Assurance Defense In-Depth Measures? --A Quantitative Study

ERIC Educational Resources Information Center

Alexander, Rodney T.

2017-01-01

Organizational computing devices are increasingly becoming targets of cyber-attacks, and organizations have become dependent on the safety and security of their computer networks and their organizational computing devices. Business and government often use defense in-depth information assurance measures such as firewalls, intrusion detection…

The process of development of a prioritization tool for a clinical decision support build within a computerized provider order entry system: Experiences from St Luke's Health System.

PubMed

Wolf, Matthew; Miller, Suzanne; DeJong, Doug; House, John A; Dirks, Carl; Beasley, Brent

2016-09-01

To establish a process for the development of a prioritization tool for a clinical decision support build within a computerized provider order entry system and concurrently to prioritize alerts for Saint Luke's Health System. The process of prioritizing clinical decision support alerts included (a) consensus sessions to establish a prioritization process and identify clinical decision support alerts through a modified Delphi process and (b) a clinical decision support survey to validate the results. All members of our health system's physician quality organization, Saint Luke's Care as well as clinicians, administrators, and pharmacy staff throughout Saint Luke's Health System, were invited to participate in this confidential survey. The consensus sessions yielded a prioritization process through alert contextualization and associated Likert-type scales. Utilizing this process, the clinical decision support survey polled the opinions of 850 clinicians with a 64.7 percent response rate. Three of the top rated alerts were approved for the pre-implementation build at Saint Luke's Health System: Acute Myocardial Infarction Core Measure Sets, Deep Vein Thrombosis Prophylaxis within 4 h, and Criteria for Sepsis. This study establishes a process for developing a prioritization tool for a clinical decision support build within a computerized provider order entry system that may be applicable to similar institutions. © The Author(s) 2015.

Research to Inform Nutrient Thresholds and Prioritization of ...

EPA Pesticide Factsheets

The information in this presentation focuses on SSWR's 4.02 project, which will advance the science needed to inform decisions to prioritize watersheds and nutrient sources for nutrient management and define appropriate nutrient levels for the nation’s waters, two important elements of EPA’s framework for managing nutrient pollution. The information in this presentation focuses on SSWR's 4.02 project, which will advance the science needed to inform decisions to prioritize watersheds and nutrient sources for nutrient management and define appropriate nutrient levels for the nation’s waters, two important elements of EPA’s framework for managing nutrient pollution.

Incorporating evolutionary measures into conservation prioritization.

PubMed

Redding, David W; Mooers, Arne Ø

2006-12-01

Conservation prioritization is dominated by the threat status of candidate species. However, species differ markedly in the shared genetic information they embody, and this information is not taken into account if species are prioritized by threat status alone. We developed a system of prioritization that incorporates both threat status and genetic information and applied it to 9546 species of birds worldwide. We devised a simple measure of a species' genetic value that takes into account the shape of the entire taxonomic tree of birds. This measure approximates the evolutionary history that each species embodies and sums to the phylogenetic diversity of the entire taxonomic tree. We then combined this genetic value with each species' probability of extinction to create a species-specific measure of expected loss of genetic information. The application of our methods to the world's avifauna showed that ranking species by expected loss of genetic information may help preserve bird evolutionary history by upgrading those threatened species with fewer close relatives. We recommend developing a mechanism to incorporate a species' genetic value into the prioritization framework.

The prioritization of mobility improvements using a multicriteria prioritization algorithm : final report

DOT National Transportation Integrated Search

1998-07-01

A prioritization process has been prepared by the University of California, Davis, for use by the Oregon Department of Transportation (ODOT) in selecting multimodal mobility improvement projects to fund, given a budget constraint. The process involve...

Reducing the Burden of Suicide in the U.S

PubMed Central

Claassen, Cynthia A.; Pearson, Jane L.; Khodyakov, Dmitry; Satow, Phillip M.; Gebbia, Robert; Berman, Alan L.; Reidenberg, Daniel J.; Feldman, Saul; Molock, Sherry; Carras, Michelle C.; Lento, René M.; Sherrill, Joel; Pringle, Beverly; Dalal, Siddhartha; Insel, Thomas R.

2017-01-01

Background The National Action Alliance for Suicide Prevention Research Prioritization Task Force (RPTF) has created a prioritized national research agenda with the potential to rapidly and substantially reduce the suicide burden in the U.S. if fully funded and implemented. Purpose Viable, sustainable scientific research agendas addressing challenging public health issues such as suicide often need to incorporate perspectives from multiple stakeholder groups (e.g., researchers, policymakers, and other end-users of new knowledge) during an agenda-setting process. The Stakeholder Survey was a web-based survey conducted and analyzed in 2011–2012 to inform the goal-setting step in the RPTF agenda development process. The survey process, and the final list of “aspirational” research goals it produced, are presented here. Methods Using a modified Delphi process, diverse constituent groups generated and evaluated candidate research goals addressing pressing suicide prevention research needs. Results A total of 716 respondents representing 49 U.S. states and 18 foreign countries provided input that ultimately produced 12 overarching, research-informed aspirational goals aimed at reducing the U.S. suicide burden. Highest-rated goals addressed prevention of subsequent suicidal behavior after an initial attempt, strategies to retain patients in care, improved healthcare provider training, and generating care models that would ensure accessible treatment. Conclusions The Stakeholder Survey yielded widely valued research targets. Findings were diverse in focus, type, and current phase of research development but tended to prioritize practical solutions over theoretical advancement. Other complex public health problems requiring input from a broad-based constituency might benefit from web-based tools that facilitate such community input. PMID:24750971

Prioritizing Seafloor Mapping for Washington’s Pacific Coast

PubMed Central

Battista, Timothy; Buja, Ken; Christensen, John; Hennessey, Jennifer; Lassiter, Katrina

2017-01-01

Remote sensing systems are critical tools used for characterizing the geological and ecological composition of the seafloor. However, creating comprehensive and detailed maps of ocean and coastal environments has been hindered by the high cost of operating ship- and aircraft-based sensors. While a number of groups (e.g., academic research, government resource management, and private sector) are engaged in or would benefit from the collection of additional seafloor mapping data, disparate priorities, dauntingly large data gaps, and insufficient funding have confounded strategic planning efforts. In this study, we addressed these challenges by implementing a quantitative, spatial process to facilitate prioritizing seafloor mapping needs in Washington State. The Washington State Prioritization Tool (WASP), a custom web-based mapping tool, was developed to solicit and analyze mapping priorities from each participating group. The process resulted in the identification of several discrete, high priority mapping hotspots. As a result, several of the areas have been or will be subsequently mapped. Furthermore, information captured during the process about the intended application of the mapping data was paramount for identifying the optimum remote sensing sensors and acquisition parameters to use during subsequent mapping surveys. PMID:28350338

An Approach for Integrating the Prioritization of Functional and Nonfunctional Requirements

PubMed Central

Dabbagh, Mohammad; Lee, Sai Peck

2014-01-01

Due to the budgetary deadlines and time to market constraints, it is essential to prioritize software requirements. The outcome of requirements prioritization is an ordering of requirements which need to be considered first during the software development process. To achieve a high quality software system, both functional and nonfunctional requirements must be taken into consideration during the prioritization process. Although several requirements prioritization methods have been proposed so far, no particular method or approach is presented to consider both functional and nonfunctional requirements during the prioritization stage. In this paper, we propose an approach which aims to integrate the process of prioritizing functional and nonfunctional requirements. The outcome of applying the proposed approach produces two separate prioritized lists of functional and non-functional requirements. The effectiveness of the proposed approach has been evaluated through an empirical experiment aimed at comparing the approach with the two state-of-the-art-based approaches, analytic hierarchy process (AHP) and hybrid assessment method (HAM). Results show that our proposed approach outperforms AHP and HAM in terms of actual time-consumption while preserving the quality of the results obtained by our proposed approach at a high level of agreement in comparison with the results produced by the other two approaches. PMID:24982987

An approach for integrating the prioritization of functional and nonfunctional requirements.

PubMed

Dabbagh, Mohammad; Lee, Sai Peck

2014-01-01

Due to the budgetary deadlines and time to market constraints, it is essential to prioritize software requirements. The outcome of requirements prioritization is an ordering of requirements which need to be considered first during the software development process. To achieve a high quality software system, both functional and nonfunctional requirements must be taken into consideration during the prioritization process. Although several requirements prioritization methods have been proposed so far, no particular method or approach is presented to consider both functional and nonfunctional requirements during the prioritization stage. In this paper, we propose an approach which aims to integrate the process of prioritizing functional and nonfunctional requirements. The outcome of applying the proposed approach produces two separate prioritized lists of functional and non-functional requirements. The effectiveness of the proposed approach has been evaluated through an empirical experiment aimed at comparing the approach with the two state-of-the-art-based approaches, analytic hierarchy process (AHP) and hybrid assessment method (HAM). Results show that our proposed approach outperforms AHP and HAM in terms of actual time-consumption while preserving the quality of the results obtained by our proposed approach at a high level of agreement in comparison with the results produced by the other two approaches.

Applying the dark diversity concept to nature conservation.

PubMed

Lewis, Rob J; de Bello, Francesco; Bennett, Jonathan A; Fibich, Pavel; Finerty, Genevieve E; Götzenberger, Lars; Hiiesalu, Inga; Kasari, Liis; Lepš, Jan; Májeková, Maria; Mudrák, Ondřej; Riibak, Kersti; Ronk, Argo; Rychtecká, Terezie; Vitová, Alena; Pärtel, Meelis

2017-02-01

Linking diversity to biological processes is central for developing informed and effective conservation decisions. Unfortunately, observable patterns provide only a proportion of the information necessary for fully understanding the mechanisms and processes acting on a particular population or community. We suggest conservation managers use the often overlooked information relative to species absences and pay particular attention to dark diversity (i.e., a set of species that are absent from a site but that could disperse to and establish there, in other words, the absent portion of a habitat-specific species pool). Together with existing ecological metrics, concepts, and conservation tools, dark diversity can be used to complement and further develop conservation prioritization and management decisions through an understanding of biodiversity relativized by its potential (i.e., its species pool). Furthermore, through a detailed understanding of the population, community, and functional dark diversity, the restoration potential of degraded habitats can be more rigorously assessed and so to the likelihood of successful species invasions. We suggest the application of the dark diversity concept is currently an underappreciated source of information that is valuable for conservation applications ranging from macroscale conservation prioritization to more locally scaled restoration ecology and the management of invasive species. © 2016 Society for Conservation Biology.

An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters

USGS Publications Warehouse

Blackwell, Brett R.; Ankley, Gerald T.; Corsi, Steven; DeCicco, Laura; Houck, Kieth A.; Judson, Richard S.; Li, Shibin; Martin, Matthew T.; Murphy, Elizabeth; Schroeder, Anthony L.; Smith, Edwin R.; Swintek, Joe; Villeneuve, Daniel L.

2017-01-01

Current environmental monitoring approaches focus primarily on chemical occurrence. However, based on concentration alone, it can be difficult to identify which compounds may be of toxicological concern and should be prioritized for further monitoring, in-depth testing, or management. This can be problematic because toxicological characterization is lacking for many emerging contaminants. New sources of high-throughput screening (HTS) data, such as the ToxCast database, which contains information for over 9000 compounds screened through up to 1100 bioassays, are now available. Integrated analysis of chemical occurrence data with HTS data offers new opportunities to prioritize chemicals, sites, or biological effects for further investigation based on concentrations detected in the environment linked to relative potencies in pathway-based bioassays. As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast effects database were used to calculate exposure–activity ratios (EARs) as a prioritization tool. Technical considerations of data processing and use of the ToxCast database are presented and discussed. EAR prioritization identified multiple sites, biological pathways, and chemicals that warrant further investigation. Prioritized bioactivities from the EAR analysis were linked to discrete adverse outcome pathways to identify potential adverse outcomes and biomarkers for use in subsequent monitoring efforts.

Associative list processing unit

DOEpatents

Hemmert, Karl Scott; Underwood, Keith D.

2013-01-29

An associative list processing unit and method comprising employing a plurality of prioritized cell blocks and permitting inserts to occur in a single clock cycle if all of the cell blocks are not full. Also, an associative list processing unit and method comprising employing a plurality of prioritized cell blocks and using a tree of prioritized multiplexers descending from the plurality of cell blocks.

Self-priorization processes in action and perception.

PubMed

Frings, Christian; Wentura, Dirk

2014-10-01

Recently, Sui, He, and Humphreys (2012) introduced a new paradigm to investigate prioritized processing of self-related information. In a balanced design, they arbitrarily assigned simple geometric shapes to the participant and 2 others. Subsequently, the task was to judge whether label-shape pairings matched. The authors found a remarkable self-prioritization effect, that is, for matching self-related trials verification was very fast and accurate in comparison to the other conditions. We tested the hypothesis that the self-priorization effect extends from perception-self links to action-self links. In particular, we assigned simple movements (i.e., up, down, left, right) to the participant, 2 others (i.e., the mother; a stranger), and a neutral label, respectively. In each trial participants executed a movement (triggered by a cue), which was followed by a briefly presented label. Participants had to judge whether label-movement pairings matched. In accordance with Sui et al. (2012) we found a remarkable self-prioritization effect, that is, for matching self-related trials verification was very fast and accurate in comparison to the other conditions.

Medical device procurement in low- and middle-income settings: protocol for a systematic review.

PubMed

Diaconu, Karin; Chen, Yen-Fu; Manaseki-Holland, Semira; Cummins, Carole; Lilford, Richard

2014-10-21

Medical device procurement processes for low- and middle-income countries (LMICs) are a poorly understood and researched topic. To support LMIC policy formulation in this area, international public health organizations and research institutions issue a large body of predominantly grey literature including guidelines, manuals and recommendations. We propose to undertake a systematic review to identify and explore the medical device procurement methodologies suggested within this and further literature. Procurement facilitators and barriers will be identified, and methodologies for medical device prioritization under resource constraints will be discussed. Searches of both bibliographic and grey literature will be conducted to identify documents relating to the procurement of medical devices in LMICs. Data will be extracted according to protocol on a number of pre-specified issues and variables. First, data relating to the specific settings described within the literature will be noted. Second, information relating to medical device procurement methodologies will be extracted, including prioritization of procurement under resource constraints, the use of evidence (e.g. cost-effectiveness evaluations, burden of disease data) as well as stakeholders participating in procurement processes. Information relating to prioritization methodologies will be extracted in the form of quotes or keywords, and analysis will include qualitative meta-summary. Narrative synthesis will be employed to analyse data otherwise extracted. The PRISMA guidelines for reporting will be followed. The current review will identify recommended medical device procurement methodologies for LMICs. Prioritization methods for medical device acquisition will be explored. Relevant stakeholders, facilitators and barriers will be discussed. The review is aimed at both LMIC decision makers and the international research community and hopes to offer a first holistic conceptualization of this topic.

Medical device procurement in low- and middle-income settings: protocol for a systematic review

PubMed Central

2014-01-01

Background Medical device procurement processes for low- and middle-income countries (LMICs) are a poorly understood and researched topic. To support LMIC policy formulation in this area, international public health organizations and research institutions issue a large body of predominantly grey literature including guidelines, manuals and recommendations. We propose to undertake a systematic review to identify and explore the medical device procurement methodologies suggested within this and further literature. Procurement facilitators and barriers will be identified, and methodologies for medical device prioritization under resource constraints will be discussed. Methods/design Searches of both bibliographic and grey literature will be conducted to identify documents relating to the procurement of medical devices in LMICs. Data will be extracted according to protocol on a number of pre-specified issues and variables. First, data relating to the specific settings described within the literature will be noted. Second, information relating to medical device procurement methodologies will be extracted, including prioritization of procurement under resource constraints, the use of evidence (e.g. cost-effectiveness evaluations, burden of disease data) as well as stakeholders participating in procurement processes. Information relating to prioritization methodologies will be extracted in the form of quotes or keywords, and analysis will include qualitative meta-summary. Narrative synthesis will be employed to analyse data otherwise extracted. The PRISMA guidelines for reporting will be followed. Discussion The current review will identify recommended medical device procurement methodologies for LMICs. Prioritization methods for medical device acquisition will be explored. Relevant stakeholders, facilitators and barriers will be discussed. The review is aimed at both LMIC decision makers and the international research community and hopes to offer a first holistic conceptualization of this topic. PMID:25336161

Research to Inform Nutrient Thresholds and Prioritization of Watersheds for Nutrient Management

EPA Science Inventory

The information in this presentation focuses on SSWR's 4.02 project, which will advance the science needed to inform decisions to prioritize watersheds and nutrient sources for nutrient management and define appropriate nutrient levels for the nation’s waters, two importan...

Endeavour update: a web resource for gene prioritization in multiple species

PubMed Central

Tranchevent, Léon-Charles; Barriot, Roland; Yu, Shi; Van Vooren, Steven; Van Loo, Peter; Coessens, Bert; De Moor, Bart; Aerts, Stein; Moreau, Yves

2008-01-01

Endeavour (http://www.esat.kuleuven.be/endeavourweb; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of candidate genes. Using a training set of genes known to be involved in a biological process of interest, our approach consists of (i) inferring several models (based on various genomic data sources), (ii) applying each model to the candidate genes to rank those candidates against the profile of the known genes and (iii) merging the several rankings into a global ranking of the candidate genes. In the present article, we describe the latest developments of Endeavour. First, we provide a web-based user interface, besides our Java client, to make Endeavour more universally accessible. Second, we support multiple species: in addition to Homo sapiens, we now provide gene prioritization for three major model organisms: Mus musculus, Rattus norvegicus and Caenorhabditis elegans. Third, Endeavour makes use of additional data sources and is now including numerous databases: ontologies and annotations, protein–protein interactions, cis-regulatory information, gene expression data sets, sequence information and text-mining data. We tested the novel version of Endeavour on 32 recent disease gene associations from the literature. Additionally, we describe a number of recent independent studies that made use of Endeavour to prioritize candidate genes for obesity and Type II diabetes, cleft lip and cleft palate, and pulmonary fibrosis. PMID:18508807

Special Advanced Studies for Pollution Prevention. Delivery Order 0058: The Monitor - Spring 2000

DTIC Science & Technology

2001-04-01

Process complexity ➨ Strippability ➨ Maturity ➨ Process type and chemistry ➨ Licensing requirements ➨ Vendor information ➨ Niplate 700 (Surface...Courses of Action 4 Identify & Evaluate Potential Alternatives 5 Select Best Alternative & Develop Project 6 Prioritize Projects by Commodity 7 Rank...Burden CS Priority Process Specific P2 OASolution Selection Solution Planning Solution Implementation Solution Evaluation Phase 2 Phase 3 Phase 1

Quality assessment of Isfahan Medical Faculty web site electronic services and prioritizing solutions using analytic hierarchy process approach

PubMed Central

Hajrahimi, Nafiseh; Dehaghani, Sayed Mehdi Hejazi; Hajrahimi, Nargess; Sarmadi, Sima

2014-01-01

Context: Implementing information technology in the best possible way can bring many advantages such as applying electronic services and facilitating tasks. Therefore, assessment of service providing systems is a way to improve the quality and elevate these systems including e-commerce, e-government, e-banking, and e-learning. Aims: This study was aimed to evaluate the electronic services in the website of Isfahan University of Medical Sciences in order to propose solutions to improve them. Furthermore, we aim to rank the solutions based on the factors that enhance the quality of electronic services by using analytic hierarchy process (AHP) method. Materials and Methods: Non-parametric test was used to assess the quality of electronic services. The assessment of propositions was based on Aqual model and they were prioritized using AHP approach. The AHP approach was used because it directly applies experts’ deductions in the model, and lead to more objective results in the analysis and prioritizing the risks. After evaluating the quality of the electronic services, a multi-criteria decision making frame-work was used to prioritize the proposed solutions. Statistical Analysis Used: Non-parametric tests and AHP approach using Expert Choice software. Results: The results showed that students were satisfied in most of the indicators. Only a few indicators received low satisfaction from students including, design attractiveness, the amount of explanation and details of information, honesty and responsiveness of authorities, and the role of e-services in the user's relationship with university. After interviewing with Information and Communications Technology (ICT) experts at the university, measurement criteria, and solutions to improve the quality were collected. The best solutions were selected by EC software. According to the results, the solution “controlling and improving the process in handling users complaints” is of the utmost importance and authorities have to have it on the website and place great importance on updating this process. Conclusions: Although, 4 out of the 22 indicators used in the test hypothesis were not confirmed, the results show that these assumptions are accepted at 95% confidence level. To improve the quality of electronic services, special attention should be paid to “services interaction.” As the results showed having “controlling and improving the process in handling users complaints” on the website is the first and most important one and the process of “changing brand/factory name/address in the text of the factory license/renewal or modification of manufacturing license/changing the formula” is the least important one. PMID:25540790

Quality assessment of Isfahan Medical Faculty web site electronic services and prioritizing solutions using analytic hierarchy process approach.

PubMed

Hajrahimi, Nafiseh; Dehaghani, Sayed Mehdi Hejazi; Hajrahimi, Nargess; Sarmadi, Sima

2014-01-01

Implementing information technology in the best possible way can bring many advantages such as applying electronic services and facilitating tasks. Therefore, assessment of service providing systems is a way to improve the quality and elevate these systems including e-commerce, e-government, e-banking, and e-learning. This study was aimed to evaluate the electronic services in the website of Isfahan University of Medical Sciences in order to propose solutions to improve them. Furthermore, we aim to rank the solutions based on the factors that enhance the quality of electronic services by using analytic hierarchy process (AHP) method. Non-parametric test was used to assess the quality of electronic services. The assessment of propositions was based on Aqual model and they were prioritized using AHP approach. The AHP approach was used because it directly applies experts' deductions in the model, and lead to more objective results in the analysis and prioritizing the risks. After evaluating the quality of the electronic services, a multi-criteria decision making frame-work was used to prioritize the proposed solutions. Non-parametric tests and AHP approach using Expert Choice software. The results showed that students were satisfied in most of the indicators. Only a few indicators received low satisfaction from students including, design attractiveness, the amount of explanation and details of information, honesty and responsiveness of authorities, and the role of e-services in the user's relationship with university. After interviewing with Information and Communications Technology (ICT) experts at the university, measurement criteria, and solutions to improve the quality were collected. The best solutions were selected by EC software. According to the results, the solution "controlling and improving the process in handling users complaints" is of the utmost importance and authorities have to have it on the website and place great importance on updating this process. Although, 4 out of the 22 indicators used in the test hypothesis were not confirmed, the results show that these assumptions are accepted at 95% confidence level. To improve the quality of electronic services, special attention should be paid to "services interaction." As the results showed having "controlling and improving the process in handling users complaints" on the website is the first and most important one and the process of "changing brand/factory name/address in the text of the factory license/renewal or modification of manufacturing license/changing the formula" is the least important one.

Priority-setting in New Zealand: translating principles into practice.

PubMed

Ashton, T; Cumming, J; Devlin, N

2000-07-01

In May 1998 the New Zealand Health Funding Authority released a discussion paper which proposed a principles-based approach to setting purchasing priorities that incorporates the economic methods of programme budgeting and marginal analysis, and cost-utility analysis. The principles upon which the process was to be based are effectiveness, cost, equity of health outcomes, Maori health and acceptability. This essay describes and critiques issues associated with translating the principles into practice, most particularly the proposed methods for evaluating the effectiveness and measuring the cost of services. It is argued that the proposals make an important contribution towards the development of a method for prioritizing services which challenges our thinking about those services and their goals, and which is systematic, explicit, and transparent. The shift towards 'thinking at the margin' and systematically reviewing the value for money of competing claims on resources is likely to improve the quality of decision-making compared with the status quo. This does not imply that prioritization can, or should, be undertaken by means of any simple formula. Any prioritization process should always be guided by informed judgement. The approach is more appropriate for some services than for others. Key methodological issues that need further consideration include the choice of instrument for measuring health gains, the identification of marginal services, how to combine qualitative and quantitative information, and how to ensure consistency across different levels of decision-making.

A patient-centered research agenda for the care of the acutely ill older patient.

PubMed

Wald, Heidi L; Leykum, Luci K; Mattison, Melissa L P; Vasilevskis, Eduard E; Meltzer, David O

2015-05-01

Hospitalists and others acute-care providers are limited by gaps in evidence addressing the needs of the acutely ill older adult population. The Society of Hospital Medicine sponsored the Acute Care of Older Patients Priority Setting Partnership to develop a research agenda focused on bridging this gap. Informed by the Patient-Centered Outcomes Research Institute framework for identification and prioritization of research areas, we adapted a methodology developed by the James Lind Alliance to engage diverse stakeholders in the research agenda setting process. The work of the Partnership proceeded through 4 steps: convening, consulting, collating, and prioritizing. First, the steering committee convened a partnership of 18 stakeholder organizations in May 2013. Next, stakeholder organizations surveyed members to identify important unanswered questions in the acute care of older persons, receiving 1299 responses from 580 individuals. Finally, an extensive and structured process of collation and prioritization resulted in a final list of 10 research questions in the following areas: advanced-care planning, care transitions, delirium, dementia, depression, medications, models of care, physical function, surgery, and training. With the changing demographics of the hospitalized population, a workforce with limited geriatrics training, and gaps in evidence to inform clinical decision making for acutely ill older patients, the identified research questions deserve the highest priority in directing future research efforts to improve care for the older hospitalized patient and enrich training. © 2015 Society of Hospital Medicine.

Toward a Cosmopolitan Vision of English Education in Singapore

ERIC Educational Resources Information Center

Choo, Suzanne S.

2014-01-01

English education has played a vital role in facilitating Singapore's global city ambitions since the country's independence. While the state has prioritized English education's cognitive objective emphasizing information processing and effective communication skills, it has given insufficient attention to the role of English in equipping students…

A methodology for comprehensive strategic planning and program prioritization

NASA Astrophysics Data System (ADS)

Raczynski, Christopher Michael

2008-10-01

This process developed in this work, Strategy Optimization for the Allocation of Resources (SOAR), is a strategic planning methodology based off Integrated Product and Process Development and systems engineering techniques. Utilizing a top down approach, the process starts with the creation of the organization vision and its measures of effectiveness. These measures are prioritized based on their application to external world scenarios which will frame the future. The programs which will be used to accomplish this vision are identified by decomposing the problem. Information is gathered on the programs as to the application, cost, schedule, risk, and other pertinent information. The relationships between the levels of the hierarchy are mapped utilizing subject matter experts. These connections are then utilized to determine the overall benefit of the programs to the vision of the organization. Through a Multi-Objective Genetic Algorithm a tradespace of potential program portfolios can be created amongst which the decision maker can allocate resources. The information and portfolios are presented to the decision maker through the use of a Decision Support System which collects and visualizes all the data in a single location. This methodology was tested utilizing a science and technology planning exercise conducted by the United States Navy. A thorough decomposition was defined and technology programs identified which had the potential to provide benefit to the vision. The prioritization of the top level capabilities was performed through the use of a rank ordering scheme and a previous naval application was used to demonstrate a cumulative voting scheme. Voting was performed utilizing the Nominal Group Technique to capture the relationships between the levels of the hierarchy. Interrelationships between the technologies were identified and a MOGA was utilized to optimize portfolios with respect to these constraints and information was placed in a DSS. This formulation allowed the decision makers to assess which portfolio could provide the greatest benefit to the Navy while still fitting within the funding profile.

Assessing Attentional Prioritization of Front-of-Pack Nutrition Labels using Change Detection

PubMed Central

Becker, Mark W.; Sundar, Raghav Prashant; Bello, Nora; Alzahabi, Reem; Weatherspoon, Lorraine; Bix, Laura

2015-01-01

We used a change detection method to evaluate attentional prioritization of nutrition information that appears in the traditional “Nutrition Facts Panel” and in front-of-pack nutrition labels. Results provide compelling evidence that front-of-pack labels attract attention more readily than the Nutrition Facts Panel, even when participants are not specifically tasked with searching for nutrition information. Further, color-coding the relative nutritional value of key nutrients within the front-of-pack label resulted in increased attentional prioritization of nutrition information, but coding using facial icons did not significantly increase attention to the label. Finally, the general pattern of attentional prioritization across front-of-pack designs was consistent across a diverse sample of participants. Our results indicate that color-coded, front-of-pack nutrition labels increase attention to the nutrition information of packaged food, a finding that has implications for current policy discussions regarding labeling change. PMID:26851468

Science framework for conservation and restoration of the sagebrush biome: Linking the Department of the Interior’s Integrated Rangeland Fire Management Strategy to long-term strategic conservation actions, Part 1. Science basis and applications

USGS Publications Warehouse

Chambers, Jeanne C.; Beck, Jeffrey L.; Bradford, John B.; Bybee, Jared; Campbell, Steve; Carlson, John; Christiansen, Thomas J; Clause, Karen J.; Collins, Gail; Crist, Michele R.; Dinkins, Jonathan B.; Doherty, Kevin E.; Edwards, Fred; Espinosa, Shawn; Griffin, Kathleen A.; Griffin, Paul; Haas, Jessica R.; Hanser, Steven E.; Havlina, Douglas W.; Henke, Kenneth F.; Hennig, Jacob D.; Joyce, Linda A; Kilkenny, Francis F.; Kulpa, Sarah M; Kurth, Laurie L; Maestas, Jeremy D; Manning, Mary E.; Mayer, Kenneth E.; Mealor, Brian A.; McCarthy, Clinton; Pellant, Mike; Perea, Marco A.; Prentice, Karen L.; Pyke, David A.; Wiechman , Lief A.; Wuenschel, Amarina

2017-01-01

The Science Framework is intended to link the Department of the Interior’s Integrated Rangeland Fire Management Strategy with long-term strategic conservation actions in the sagebrush biome. The Science Framework provides a multiscale approach for prioritizing areas for management and determining effective management strategies within the sagebrush biome. The emphasis is on sagebrush (Artemisia spp.) ecosystems and Greater sage-grouse (Centrocercus urophasianus). The approach provided in the Science Framework links sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive plant species to species habitat information based on the distribution and abundance of focal species. A geospatial process is presented that overlays information on ecosystem resilience and resistance, species habitats, and predominant threats and that can be used at the mid-scale to prioritize areas for management. A resilience and resistance habitat matrix is provided that can help decisionmakers evaluate risks and determine appropriate management strategies. Prioritized areas and management strategies can be refined by managers and stakeholders at the local scale based on higher resolution data and local knowledge. Decision tools are discussed for determining appropriate management actions for areas that are prioritized for management. Geospatial data, maps, and models are provided through the U.S. Geological Survey (USGS) ScienceBase and Bureau of Land Management (BLM) Landscape Approach Data Portal. The Science Framework is intended to be adaptive and will be updated as additional data become available on other values and species at risk. It is anticipated that the Science Framework will be widely used to: (1) inform emerging strategies to conserve sagebrush ecosystems, sagebrush dependent species, and human uses of the sagebrush system, and (2) assist managers in prioritizing and planning on-the-ground restoration and mitigation actions across the sagebrush biome.

Incorporating exposure information into the toxicological prioritization index decision support framework

EPA Science Inventory

The Toxicological Prioritization Index (ToxPi) decision support framework was previously developed to facilitate incorporation of diverse data to prioritize chemicals based on potential hazard. This ToxPi index was demonstrated by considering results of bioprofiling related to po...

Exploring the Self-Ownership Effect: Separating Stimulus and Response Biases

ERIC Educational Resources Information Center

Golubickis, Marius; Falben, Johanna K.; Cunningham, William A.; Macrae, C. Neil

2018-01-01

Although ownership is acknowledged to exert a potent influence on various aspects of information processing, the origin of these effects remains largely unknown. Based on the demonstration that self-relevance facilitates perceptual judgments (i.e., the self-prioritization effect), here we explored the possibility that ownership enhances object…

Social Computing and the Attention Economy

NASA Astrophysics Data System (ADS)

Huberman, Bernardo A.

2013-04-01

Social computing focuses on the interaction between social behavior and information, especially on how the latter propagates across social networks and is consumed and transformed in the process. At the same time the ubiquity of information has left it devoid of much monetary value. The scarce, and therefore valuable, resource is now attention, and its allocation gives rise to an attention economy that determines how content is consumed and propagated. Since two major factors involved in getting attention are novelty and popularity, we analyze the role that both play in attracting attention to web content and how to prioritize them in order to maximize it. We also demonstrate that the relative performance of strategies based on prioritizing either popularity or novelty exhibit an abrupt change around a critical value of the novelty decay time, resembling a phase transition.

The Toxicity Data Landscape for Environmental Chemicals

PubMed Central

Judson, Richard; Richard, Ann; Dix, David J.; Houck, Keith; Martin, Matthew; Kavlock, Robert; Dellarco, Vicki; Henry, Tala; Holderman, Todd; Sayre, Philip; Tan, Shirlee; Carpenter, Thomas; Smith, Edwin

2009-01-01

Objective Thousands of chemicals are in common use, but only a portion of them have undergone significant toxicologic evaluation, leading to the need to prioritize the remainder for targeted testing. To address this issue, the U.S. Environmental Protection Agency (EPA) and other organizations are developing chemical screening and prioritization programs. As part of these efforts, it is important to catalog, from widely dispersed sources, the toxicology information that is available. The main objective of this analysis is to define a list of environmental chemicals that are candidates for the U.S. EPA screening and prioritization process, and to catalog the available toxicology information. Data sources We are developing ACToR (Aggregated Computational Toxicology Resource), which combines information for hundreds of thousands of chemicals from > 200 public sources, including the U.S. EPA, National Institutes of Health, Food and Drug Administration, corresponding agencies in Canada, Europe, and Japan, and academic sources. Data extraction ACToR contains chemical structure information; physical–chemical properties; in vitro assay data; tabular in vivo data; summary toxicology calls (e.g., a statement that a chemical is considered to be a human carcinogen); and links to online toxicology summaries. Here, we use data from ACToR to assess the toxicity data landscape for environmental chemicals. Data synthesis We show results for a set of 9,912 environmental chemicals being considered for analysis as part of the U.S. EPA ToxCast screening and prioritization program. These include high-and medium-production-volume chemicals, pesticide active and inert ingredients, and drinking water contaminants. Conclusions Approximately two-thirds of these chemicals have at least limited toxicity summaries available. About one-quarter have been assessed in at least one highly curated toxicology evaluation database such as the U.S. EPA Toxicology Reference Database, U.S. EPA Integrated Risk Information System, and the National Toxicology Program. PMID:19479008

Prioritization of pharmaceuticals for potential environmental hazard through leveraging a large-scale mammalian pharmacological dataset.

PubMed

Berninger, Jason P; LaLone, Carlie A; Villeneuve, Daniel L; Ankley, Gerald T

2016-04-01

The potential for pharmaceuticals in the environment to cause adverse ecological effects is of increasing concern. Given the thousands of active pharmaceutical ingredients (APIs) that can enter the aquatic environment through human and/or animal (e.g., livestock) waste, a current challenge in aquatic toxicology is identifying those that pose the greatest risk. Because empirical toxicity information for aquatic species is generally lacking for pharmaceuticals, an important data source for prioritization is that generated during the mammalian drug development process. Applying concepts of species read-across, mammalian pharmacokinetic data were used to systematically prioritize APIs by estimating their potential to cause adverse biological consequences to aquatic organisms, using fish as an example. Mammalian absorption, distribution, metabolism, and excretion (ADME) data (e.g., peak plasma concentration, apparent volume of distribution, clearance rate, and half-life) were collected and curated, creating the Mammalian Pharmacokinetic Prioritization For Aquatic Species Targeting (MaPPFAST) database representing 1070 APIs. From these data, a probabilistic model and scoring system were developed and evaluated. Individual APIs and therapeutic classes were ranked based on clearly defined read-across assumptions for translating mammalian-derived ADME parameters to estimate potential hazard in fish (i.e., greatest predicted hazard associated with lowest mammalian peak plasma concentrations, total clearance and highest volume of distribution, half-life). It is anticipated that the MaPPFAST database and the associated API prioritization approach will help guide research and/or inform ecological risk assessment. Published 2015 Wiley Periodicals Inc. on behalf of SETAC. This article is a US Government work and, as such, is in the public domain in the United States of America.

Pediatric Emergency Research Canada (PERC): Patient/Family-Informed Research Priorities for Pediatric Emergency Medicine.

PubMed

Bialy, Liza; Plint, Amy C; Freedman, Stephen B; Johnson, David W; Curran, Janet A; Stang, Antonia S

2018-06-06

A growing body of literature supports patient and public involvement in the design, prioritization and dissemination of research and evidence based medicine. The objectives of this project were to engage patients and families in developing a prioritized list of research topics for Pediatric Emergency Medicine (PEM) and to compare results with prior research prioritization initiatives in the ED (emergency department) setting. We utilized a systematic process to combine administrative data on frequency of patient presentations to the ED with multiple stakeholder input including an initial stakeholder survey followed by a modified Delphi consensus methodology consisting of two web-based surveys and a face-to-face meeting. The prioritization process resulted in a ranked list of 15 research priorities. The top five priorities were mental health presentations, pain and sedation, practice tools, quality of care delivery and resource utilization. Mental health, pain and sedation, clinical prediction rules, respiratory illnesses /wheeze, patient safety/medication error and sepsis were identified as shared priorities with prior initiatives. Topics identified in our process that were not identified in prior work included resource utilization, ED communication, antibiotic stewardship and patient/family adherence with recommendations. This work identifies key priorities for research in PEM. Comparing our results with prior initiatives in the ED setting identified shared research priorities and opportunities for collaboration among PEM research networks. This work in particular makes an important contribution to the existing literature by including the patient/family perspective missing from prior work. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Prioritizing ToxCast Chemicals Across Multiple Sectors of Toxicity Using ToxPi

EPA Science Inventory

The Toxicological Prioritization Index (ToxPi™) framework was developed as a decision-support tool to aid in the rational prioritization of chemicals for integrated toxicity testing. ToxPi consolidates information from multiple domains—including ToxCast™ in vitro bioactivity prof...

Scheduling Onboard Processing for the Proposed HyspIRI Mission

NASA Technical Reports Server (NTRS)

Chien, Steve; Mclaren, David; Rabideau, Gregg; Mandl, Daniel; Hengemihle, Jerry

2011-01-01

The proposed Hyspiri mission is evaluating a X-band Direct Broadcast (DB) capability that would enable data to be delivered to ground stations virtually as it is acquired. However the HyspIRI VSWIR and TIR instruments will produce 1 Gbps data while the DB capability is 15 M bps for a 60x oversubscription. In order to address this data volume mismatch a DB concept has been developed thatdetermines which data to downlink based on both: 1. The type of surface the spacecraft is overflying and 2. Onboard processing of the data to detect events. For example when the spacecraft is overflying polar regions it might downlink a snow/ice product. Additionally the onboard software will search for thermal signatures indicative of a volcanic event or wild fire and downlink summary information (extent, spectra) when detected. The process of determining which products to generate when, based on request prioritization and onboard processing and downlink constraints is inherently a prioritized scheduling problem - we describe work to develop an automated solution to this problem.

Prioritization methodology for chemical replacement

NASA Technical Reports Server (NTRS)

Cruit, Wendy; Goldberg, Ben; Schutzenhofer, Scott

1995-01-01

Since United States of America federal legislation has required ozone depleting chemicals (class 1 & 2) to be banned from production, The National Aeronautics and Space Administration (NASA) and industry have been required to find other chemicals and methods to replace these target chemicals. This project was initiated as a development of a prioritization methodology suitable for assessing and ranking existing processes for replacement 'urgency.' The methodology was produced in the form of a workbook (NASA Technical Paper 3421). The final workbook contains two tools, one for evaluation and one for prioritization. The two tools are interconnected in that they were developed from one central theme - chemical replacement due to imposed laws and regulations. This workbook provides matrices, detailed explanations of how to use them, and a detailed methodology for prioritization of replacement technology. The main objective is to provide a GUIDELINE to help direct the research for replacement technology. The approach for prioritization called for a system which would result in a numerical rating for the chemicals and processes being assessed. A Quality Function Deployment (QFD) technique was used in order to determine numerical values which would correspond to the concerns raised and their respective importance to the process. This workbook defines the approach and the application of the QFD matrix. This technique: (1) provides a standard database for technology that can be easily reviewed, and (2) provides a standard format for information when requesting resources for further research for chemical replacement technology. Originally, this workbook was to be used for Class 1 and Class 2 chemicals, but it was specifically designed to be flexible enough to be used for any chemical used in a process (if the chemical and/or process needs to be replaced). The methodology consists of comparison matrices (and the smaller comparison components) which allow replacement technology to be quantitatively compared in several categories, and a QFD matrix which allows process/chemical pairs to be rated against one another for importance (using consistent categories). Depending on the need for application, one can choose the part(s) needed or have the methodology completed in its entirety. For example, if a program needs to show the risk of changing a process/chemical one may choose to use part of Matrix A and Matrix C. If a chemical is being used, and the process must be changed; one might use the Process Concerns part of Matrix D for the existing process and all possible replacement processes. If an overall analysis of a program is needed, one may request the QFD to be completed.

Prioritizing comparative effectiveness research for cancer diagnostics using a regional stakeholder approach.

PubMed

Klein, Gregory; Gold, Laura S; Sullivan, Sean D; Buist, Diana S M; Ramsey, Scott; Kreizenbeck, Karma; Snell, Kyle; Loggers, Elizabeth Trice; Gifford, Joseph; Watkins, John B; Kessler, Larry

2012-05-01

This paper describes our process to engage regional stakeholders for prioritizing comparative effectiveness research (CER) in cancer diagnostics. We also describe a novel methodology for incorporating stakeholder data and input to inform the objectives of selected CER studies. As an integrated component to establishing the infrastructure for community-based CER on diagnostic technologies, we have assembled a regional stakeholder group composed of local payers, clinicians and state healthcare representatives to not only identify and prioritize CER topics most important to the western Washington State region, but also to inform the study design of selected research areas. A landscape analysis process combining literature searches, expert consultations and stakeholder discussions was used to identify possible CER topics in cancer diagnostics. Stakeholders prioritized the top topics using a modified Delphi/group-nominal method and a standardized evaluation criteria framework to determine a final selected CER study area. Implementation of the selected study was immediate due to a unique American Recovery and Reinvestment Act funding structure involving the same researchers and stakeholders in both the prioritization and execution phases of the project. Stakeholder engagement was enhanced after study selection via a rapid analysis of a subset of payers' internal claims, coordinated by the research team, to obtain summary data of imaging patterns of use. Results of this preliminary analysis, which we termed an 'internal analysis,' were used to determine with the stakeholders the most important and feasible study objectives. Stakeholders identified PET and MRI in cancers including breast, lung, lymphoma and colorectal as top priorities. In an internal analysis of breast cancer imaging, summary data from three payers demonstrated utilization rates of advanced imaging increased between 2002 and 2009 in the study population, with a great deal of variability in use between different health plans. Assessing whether breast MRI affects treatment decisions was the top breast cancer study objective selected by the stakeholders. There were other high-priority research areas including whether MRI use improved survival that were not deemed feasible with the length of follow-up time following MRI adoption. Continuous stakeholder engagement greatly enhanced their enthusiasm for the project. We believe CER implementation will be more successful when undertaken by regional stakeholders.

ToxPi Prioritization and Profiling of 1060 ToxCast Chemicals Across Multiple Sectors of Toxicological Concern

EPA Science Inventory

The Toxicological Prioritization Index (ToxPi™) framework was developed as a decision-support tool to aid in the prioritization of chemicals for integrated toxicity testing. ToxPi consolidates information from multiple domains - including ToxCast™ in vitro bioactivity profiles (a...

Designing monitoring programs for chemicals of emerging concern in potable reuse--what to include and what not to include?

PubMed

Drewes, J E; Anderson, P; Denslow, N; Olivieri, A; Schlenk, D; Snyder, S A; Maruya, K A

2013-01-01

This study discussed a proposed process to prioritize chemicals for reclaimed water monitoring programs, selection of analytical methods required for their quantification, toxicological relevance of chemicals of emerging concern regarding human health, and related issues. Given that thousands of chemicals are potentially present in reclaimed water and that information about those chemicals is rapidly evolving, a transparent, science-based framework was developed to guide prioritization of which compounds of emerging concern (CECs) should be included in reclaimed water monitoring programs. The recommended framework includes four steps: (1) compile environmental concentrations (e.g., measured environmental concentration or MEC) of CECs in the source water for reuse projects; (2) develop a monitoring trigger level (MTL) for each of these compounds (or groups thereof) based on toxicological relevance; (3) compare the environmental concentration (e.g., MEC) to the MTL; CECs with a MEC/MTL ratio greater than 1 should be prioritized for monitoring, compounds with a ratio less than '1' should only be considered if they represent viable treatment process performance indicators; and (4) screen the priority list to ensure that a commercially available robust analytical method is available for that compound.

The effect of requirements prioritization on avionics system conceptual design

NASA Astrophysics Data System (ADS)

Lorentz, John

This dissertation will provide a detailed approach and analysis of a new collaborative requirements prioritization methodology that has been used successfully on four Coast Guard avionics acquisition and development programs valued at $400M+. A statistical representation of participant study results will be discussed and analyzed in detail. Many technically compliant projects fail to deliver levels of performance and capability that the customer desires. Some of these systems completely meet "threshold" levels of performance; however, the distribution of resources in the process devoted to the development and management of the requirements does not always represent the voice of the customer. This is especially true for technically complex projects such as modern avionics systems. A simplified facilitated process for prioritization of system requirements will be described. The collaborative prioritization process, and resulting artifacts, aids the systems engineer during early conceptual design. All requirements are not the same in terms of customer priority. While there is a tendency to have many thresholds inside of a system design, there is usually a subset of requirements and system performance that is of the utmost importance to the design. These critical capabilities and critical levels of performance typically represent the reason the system is being built. The systems engineer needs processes to identify these critical capabilities, the associated desired levels of performance, and the risks associated with the specific requirements that define the critical capability. The facilitated prioritization exercise is designed to collaboratively draw out these critical capabilities and levels of performance so they can be emphasized in system design. Developing the purpose, scheduling and process for prioritization events are key elements of systems engineering and modern project management. The benefits of early collaborative prioritization flow throughout the project schedule, resulting in greater success during system deployment and operational testing. This dissertation will discuss the data and findings from participant studies, present a literature review of systems engineering and design processes, and test the hypothesis that the prioritization process had no effect on stakeholder sentiment related to the conceptual design. In addition, the "Requirements Rationalization" process will be discussed in detail. Avionics, like many other systems, has transitioned from a discrete electronics engineering, hard engineering discipline to incorporate software engineering as a core process of the technology development cycle. As with other software-based systems, avionics now has significant soft system attributes that must be considered in the design process. The boundless opportunities that exist in software design demand prioritization to focus effort onto the critical functions that the software must provide. This has been a well documented and understood phenomenon in the software development community for many years. This dissertation will attempt to link the effect of software integrated avionics to the benefits of prioritization of requirements in the problem space and demonstrate the sociological and technical benefits of early prioritization practices.

Behold the Voice of Wrath: Cross-Modal Modulation of Visual Attention by Anger Prosody

ERIC Educational Resources Information Center

Brosch, Tobias; Grandjean, Didier; Sander, David; Scherer, Klaus R.

2008-01-01

Emotionally relevant stimuli are prioritized in human information processing. It has repeatedly been shown that selective spatial attention is modulated by the emotional content of a stimulus. Until now, studies investigating this phenomenon have only examined "within-modality" effects, most frequently using pictures of emotional stimuli to…

Satisficing in Split-Second Decision Making Is Characterized by Strategic Cue Discounting

ERIC Educational Resources Information Center

Oh, Hanna; Beck, Jeffrey M.; Zhu, Pingping; Sommer, Marc A.; Ferrari, Silvia; Egner, Tobias

2016-01-01

Much of our real-life decision making is bounded by uncertain information, limitations in cognitive resources, and a lack of time to allocate to the decision process. It is thought that humans overcome these limitations through "satisficing," fast but "good-enough" heuristic decision making that prioritizes some sources of…

Framing research for state policymakers who place a priority on cancer.

PubMed

Brownson, Ross C; Dodson, Elizabeth A; Kerner, Jon F; Moreland-Russell, Sarah

2016-08-01

Despite the potential for reducing the cancer burden via state policy change, few data exist on how best to disseminate research information to influence state legislators' policy choices. We explored: (1) the relative importance of core framing issues (source, presentation, timeliness) among policymakers who prioritize cancer and those who do not prioritize cancer and (2) the predictors of use of research in policymaking. Cross-sectional data were collected from US state policymakers (i.e., legislators elected to state houses or senates) from January through October 2012 (n = 862). One-way analysis of variance was performed to investigate the association of the priority of cancer variable with outcome variables. Multivariate logistic regression models examined predictors of the influence of research information. Legislators who prioritized cancer tended to rate characteristics that make research information useful higher than those who did not prioritize cancer. Among differences that were statistically significant were three items in the "source" domain (relevance, delivered by someone respected, supports one's own position), one item in the "presentation" domain (telling a story related to constituents) and two items in the "timeliness" domain (high current state priority, feasible when information is received). Participants who prioritized cancer risk factors were 80 % more likely to rate research information as one of their top reasons for choosing an issue on which to work. Our results suggest the importance of narrative forms of communication and that research information needs to be relevant to the policymakers' constituents in a brief, concise format.

From Prioritizing Objects to Prioritizing Cues: A Developmental Shift for Cognitive Control

ERIC Educational Resources Information Center

Chevalier, Nicolas; Dauvier, Bruno; Blaye, Agnès

2018-01-01

Emerging cognitive control supports increasingly adaptive behaviors and predicts life success, while low cognitive control is a major risk factor during childhood. It is therefore essential to understand how it develops. The present study provides evidence for an age-related shift in the type of information that children prioritize in their…

Prioritization of Zoonotic Diseases in Kenya, 2015

PubMed Central

Bitek, Austine; Osoro, Eric; Pieracci, Emily G.; Muema, Josephat; Mwatondo, Athman; Kungu, Mathew; Nanyingi, Mark; Gharpure, Radhika; Njenga, Kariuki; Thumbi, Samuel M.

2016-01-01

Introduction Zoonotic diseases have varying public health burden and socio-economic impact across time and geographical settings making their prioritization for prevention and control important at the national level. We conducted systematic prioritization of zoonotic diseases and developed a ranked list of these diseases that would guide allocation of resources to enhance their surveillance, prevention, and control. Methods A group of 36 medical, veterinary, and wildlife experts in zoonoses from government, research institutions and universities in Kenya prioritized 36 diseases using a semi-quantitative One Health Zoonotic Disease Prioritization tool developed by Centers for Disease Control and Prevention with slight adaptations. The tool comprises five steps: listing of zoonotic diseases to be prioritized, development of ranking criteria, weighting criteria by pairwise comparison through analytical hierarchical process, scoring each zoonotic disease based on the criteria, and aggregation of scores. Results In order of importance, the participants identified severity of illness in humans, epidemic/pandemic potential in humans, socio-economic burden, prevalence/incidence and availability of interventions (weighted scores assigned to each criteria were 0.23, 0.22, 0.21, 0.17 and 0.17 respectively), as the criteria to define the relative importance of the diseases. The top five priority diseases in descending order of ranking were anthrax, trypanosomiasis, rabies, brucellosis and Rift Valley fever. Conclusion Although less prominently mentioned, neglected zoonotic diseases ranked highly compared to those with epidemic potential suggesting these endemic diseases cause substantial public health burden. The list of priority zoonotic disease is crucial for the targeted allocation of resources and informing disease prevention and control programs for zoonoses in Kenya. PMID:27557120

Development and Validation of a Standardized Tool for Prioritization of Information Sources.

PubMed

Akwar, Holy; Kloeze, Harold; Mukhi, Shamir

2016-01-01

To validate the utility and effectiveness of a standardized tool for prioritization of information sources for early detection of diseases. The tool was developed with input from diverse public health experts garnered through survey. Ten raters used the tool to evaluate ten information sources and reliability among raters was computed. The Proc mixed procedure with random effect statement and SAS Macros were used to compute multiple raters' Fleiss Kappa agreement and Kendall's Coefficient of Concordance. Ten disparate information sources evaluated obtained the following composite scores: ProMed 91%; WAHID 90%; Eurosurv 87%; MediSys 85%; SciDaily 84%; EurekAl 83%; CSHB 78%; GermTrax 75%; Google 74%; and CBC 70%. A Fleiss Kappa agreement of 50.7% was obtained for ten information sources and 72.5% for a sub-set of five sources rated, which is substantial agreement validating the utility and effectiveness of the tool. This study validated the utility and effectiveness of a standardized criteria tool developed to prioritize information sources. The new tool was used to identify five information sources suited for use by the KIWI system in the CEZD-IIR project to improve surveillance of infectious diseases. The tool can be generalized to situations when prioritization of numerous information sources is necessary.

Applications of urban tree canopy assessment and prioritization tools: supporting collaborative decision making to achieve urban sustainability goals

Treesearch

Dexter H. Locke; J. Morgan Grove; Michael Galvin; Jarlath P.M. ONeil-Dunne; Charles Murphy

2013-01-01

Urban Tree Canopy (UTC) Prioritizations can be both a set of geographic analysis tools and a planning process for collaborative decision-making. In this paper, we describe how UTC Prioritizations can be used as a planning process to provide decision support to multiple government agencies, civic groups and private businesses to aid in reaching a canopy target. Linkages...

Methodological systematic review identifies major limitations in prioritization processes for updating.

PubMed

Martínez García, Laura; Pardo-Hernandez, Hector; Superchi, Cecilia; Niño de Guzman, Ena; Ballesteros, Monica; Ibargoyen Roteta, Nora; McFarlane, Emma; Posso, Margarita; Roqué I Figuls, Marta; Rotaeche Del Campo, Rafael; Sanabria, Andrea Juliana; Selva, Anna; Solà, Ivan; Vernooij, Robin W M; Alonso-Coello, Pablo

2017-06-01

The aim of the study was to identify and describe strategies to prioritize the updating of systematic reviews (SRs), health technology assessments (HTAs), or clinical guidelines (CGs). We conducted an SR of studies describing one or more methods to prioritize SRs, HTAs, or CGs for updating. We searched MEDLINE (PubMed, from 1966 to August 2016) and The Cochrane Methodology Register (The Cochrane Library, Issue 8 2016). We hand searched abstract books, reviewed reference lists, and contacted experts. Two reviewers independently screened the references and extracted data. We included 14 studies. Six studies were classified as descriptive (6 of 14, 42.9%) and eight as implementation studies (8 of 14, 57.1%). Six studies reported an updating strategy (6 of 14, 42.9%), six a prioritization process (6 of 14, 42.9%), and two a prioritization criterion (2 of 14, 14.2%). Eight studies focused on SRs (8 of 14, 57.1%), six studies focused on CGs (6 of 14, 42.9%), and none were about HTAs. We identified 76 prioritization criteria that can be applied when prioritizing documents for updating. The most frequently cited criteria were as follows: available evidence (19 of 76, 25.0%), clinical relevance (10 of 76; 13.2%), and users' interest (10 of 76; 13.2%). There is wide variability and suboptimal reporting of the methods used to develop and implement processes to prioritize updating of SRs, HTAs, and CGs. Copyright © 2017 Elsevier Inc. All rights reserved.

Managing Multiplicity: Conceptualizing Physician Cognition in Multipatient Environments.

PubMed

Chan, Teresa M; Mercuri, Mathew; Van Dewark, Kenneth; Sherbino, Jonathan; Schwartz, Alan; Norman, Geoff; Lineberry, Matthew

2018-05-01

Emergency physicians (EPs) regularly manage multiple patients simultaneously, often making time-sensitive decisions around priorities for multiple patients. Few studies have explored physician cognition in multipatient scenarios. The authors sought to develop a conceptual framework to describe how EPs think in busy, multipatient environments. From July 2014 to May 2015, a qualitative study was conducted at McMaster University, using a think-aloud protocol to examine how 10 attending EPs and 10 junior residents made decisions in multipatient environments. Participants engaged in the think-aloud exercise for five different simulated multipatient scenarios. Transcripts from recorded interviews were analyzed inductively, with an iterative process involving two independent coders, and compared between attendings and residents. The attending EPs and junior residents used similar processes to prioritize patients in these multipatient scenarios. The think-aloud processes demonstrated a similar process used by almost all participants. The cognitive task of patient prioritization consisted of three components: a brief overview of the entire cohort of patients to determine a general strategy; an individual chart review, whereby the participant created a functional patient story from information available in a file (i.e., vitals, brief clinical history); and creation of a relative priority list. Compared with residents, the attendings were better able to construct deeper and more complex patient stories. The authors propose a conceptual framework for how EPs prioritize care for multiple patients in complex environments. This study may be useful to teachers who train physicians to function more efficiently in busy clinical environments.

NASA Program Office Technology Investments to Enable Future Missions

NASA Astrophysics Data System (ADS)

Thronson, Harley; Pham, Thai; Ganel, Opher

2018-01-01

The Cosmic Origins (COR) and Physics of the Cosmos (PCOS) Program Offices (POs) reside at NASA GSFC and implement priorities for the NASA HQ Astrophysics Division (APD). One major aspect of the POs’ activities is managing our Strategic Astrophysics Technology (SAT) program to mature technologies for future strategic missions. The Programs follow APD guidance on which missions are strategic, currently informed by the NRC’s 2010 Decadal Survey report, as well as APD’s Implementation Plan and the Astrophysics Roadmap.In preparation for the upcoming 2020 Decadal Survey, the APD has established Science and Technology Definition Teams (STDTs) to study four large-mission concepts: the Origins Space Telescope (née, Far-IR Surveyor), Habitable Exoplanet Imaging Mission, Large UV/Optical/IR Surveyor, and Lynx (née, X-ray Surveyor). The STDTs will develop the science case and design reference mission, assess technology development needs, and estimate the cost of their concept. A fifth team, the L3 Study Team (L3ST), was charged to study potential US contributions to ESA’s planned Laser Interferometer Space Antenna (LISA) gravitational-wave observatory.The POs use a rigorous and transparent process to solicit technology gaps from the scientific and technical communities, and prioritize those entries based on strategic alignment, expected impact, cross-cutting applicability, and urgency. For the past two years, the technology-gap assessments of the four STDTs and the L3ST are included in our process. Until a study team submits its final report, community-proposed changes to gaps submitted or adopted by a study team are forwarded to that study team for consideration.We discuss our technology development process, with strategic prioritization informing calls for SAT proposals and informing investment decisions. We also present results of the 2017 technology gap prioritization and showcase our current portfolio of technology development projects. To date, 96 COR and 86 PCOS SAT proposals have been received, of which 22 COR and 28 PCOS projects were awarded. For more information, see the Program Annual Technology Reports available through the PO Technology web page at https://apd440.gsfc.nasa.gov/technology.html .

ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples

PubMed Central

2011-01-01

Background Elucidating the genetic basis of human diseases is a central goal of genetics and molecular biology. While traditional linkage analysis and modern high-throughput techniques often provide long lists of tens or hundreds of disease gene candidates, the identification of disease genes among the candidates remains time-consuming and expensive. Efficient computational methods are therefore needed to prioritize genes within the list of candidates, by exploiting the wealth of information available about the genes in various databases. Results We propose ProDiGe, a novel algorithm for Prioritization of Disease Genes. ProDiGe implements a novel machine learning strategy based on learning from positive and unlabeled examples, which allows to integrate various sources of information about the genes, to share information about known disease genes across diseases, and to perform genome-wide searches for new disease genes. Experiments on real data show that ProDiGe outperforms state-of-the-art methods for the prioritization of genes in human diseases. Conclusions ProDiGe implements a new machine learning paradigm for gene prioritization, which could help the identification of new disease genes. It is freely available at http://cbio.ensmp.fr/prodige. PMID:21977986

TOXCAST, A TOOL FOR CATEGORIZATION AND PRIORITIZATION OF CHEMICAL HAZARD BASED ON MULTI-DIMENSIONAL INFORMATION DOMAINS

EPA Science Inventory

Across several EPA Program Offices (e.g., OPPTS, OW, OAR), there is a clear need to develop strategies and methods to screen large numbers of chemicals for potential toxicity, and to use the resulting information to prioritize the use of testing resources towards those entities a...

Patient-centered prioritization of bladder cancer research.

PubMed

Smith, Angela B; Chisolm, Stephanie; Deal, Allison; Spangler, Alejandra; Quale, Diane Z; Bangs, Rick; Jones, J Michael; Gore, John L

2018-05-04

Patient-centered research requires the meaningful involvement of patients and caregivers throughout the research process. The objective of this study was to create a process for sustainable engagement for research prioritization within oncology. From December 2014 to 2016, a network of engaged patients for research prioritization was created in partnership with the Bladder Cancer Advocacy Network (BCAN): the BCAN Patient Survey Network (PSN). The PSN leveraged an online bladder cancer community with additional recruitment through print advertisements and social media campaigns. Prioritized research questions were developed through a modified Delphi process and were iterated through multidisciplinary working groups and a repeat survey. In year 1 of the PSN, 354 patients and caregivers responded to the research prioritization survey; the number of responses increased to 1034 in year 2. The majority of respondents had non-muscle-invasive bladder cancer (NMIBC), and the mean time since diagnosis was 5 years. Stakeholder-identified questions for noninvasive, invasive, and metastatic disease were prioritized by the PSN. Free-text questions were sorted with thematic mapping. Several questions submitted by respondents were among the prioritized research questions. A final prioritized list of research questions was disseminated to various funding agencies, and a highly ranked NMIBC research question was included as a priority area in the 2017 Patient-Centered Outcomes Research Institute announcement of pragmatic trial funding. Patient engagement is needed to identify high-priority research questions in oncology. The BCAN PSN provides a successful example of an engagement infrastructure for annual research prioritization in bladder cancer. The creation of an engagement network sets the groundwork for additional phases of engagement, including design, conduct, and dissemination. Cancer 2018. © 2018 American Cancer Society. © 2018 American Cancer Society.

Informing watershed connectivity barrier prioritization decisions: A synthesis

USGS Publications Warehouse

McKay, S. K.; Cooper, A. R.; Diebel, M.W.; Elkins, D.; Oldford, G.; Roghair, C.; Wieferich, Daniel J.

2017-01-01

Water resources and transportation infrastructure such as dams and culverts provide countless socio-economic benefits; however, this infrastructure can also disconnect the movement of organisms, sediment, and water through river ecosystems. Trade-offs associated with these competing costs and benefits occur globally, with applications in barrier addition (e.g. dam and road construction), reengineering (e.g. culvert repair), and removal (e.g. dam removal and aging infrastructure). Barrier prioritization provides a unique opportunity to: (i) restore and reconnect potentially large habitat patches quickly and effectively and (ii) avoid impacts prior to occurrence in line with the mitigation hierarchy (i.e. avoid then minimize then mitigate). This paper synthesizes 46 watershed-scale barrier planning studies and presents a procedure to guide barrier prioritization associated with connectivity for aquatic organisms. We focus on practical issues informing prioritization studies such as available data sets, methods, techniques, and tools. We conclude with a discussion of emerging trends and issues in barrier prioritization and key opportunities for enhancing the body of knowledge.

How Are New Vaccines Prioritized in Low-Income Countries? A Case Study of Human Papilloma Virus Vaccine and Pneumococcal Conjugate Vaccine in Uganda

PubMed Central

Wallace, Lauren; Kapirir, Lydia

2017-01-01

Background: To date, research on priority-setting for new vaccines has not adequately explored the influence of the global, national and sub-national levels of decision-making or contextual issues such as political pressure and stakeholder influence and power. Using Kapiriri and Martin’s conceptual framework, this paper evaluates priority setting for new vaccines in Uganda at national and sub-national levels, and considers how global priorities can influence country priorities. This study focuses on 2 specific vaccines, the human papilloma virus (HPV) vaccine and the pneumococcal conjugate vaccine (PCV). Methods: This was a qualitative study that involved reviewing relevant Ugandan policy documents and media reports, as well as 54 key informant interviews at the global level and national and sub-national levels in Uganda. Kapiriri and Martin’s conceptual framework was used to evaluate the prioritization process. Results: Priority setting for PCV and HPV was conducted by the Ministry of Health (MoH), which is considered to be a legitimate institution. While respondents described the priority setting process for PCV process as transparent, participatory, and guided by explicit relevant criteria and evidence, the prioritization of HPV was thought to have been less transparent and less participatory. Respondents reported that neither process was based on an explicit priority setting framework nor did it involve adequate representation from the districts (program implementers) or publicity. The priority setting process for both PCV and HPV was negatively affected by the larger political and economic context, which contributed to weak institutional capacity as well as power imbalances between development assistance partners and the MoH. Conclusion: Priority setting in Uganda would be improved by strengthening institutional capacity and leadership and ensuring a transparent and participatory processes in which key stakeholders such as program implementers (the districts) and beneficiaries (the public) are involved. Kapiriri and Martin’s framework has the potential to guide priority setting evaluation efforts, however, evaluation should be built into the priority setting process a priori such that information on priority setting is gathered throughout the implementation cycle. PMID:29172378

Using expert opinion to prioritize impacts of climate change on sea turtles' nesting grounds.

PubMed

Fuentes, M M P B; Cinner, J E

2010-12-01

Managers and conservationists often need to prioritize which impacts from climate change to deal with from a long list of threats. However, data which allows comparison of the relative impact from climatic threats for decision-making is often unavailable. This is the case for the management of sea turtles in the face of climate change. The terrestrial life stages of sea turtles can be negatively impacted by various climatic processes, such as sea level rise, altered cyclonic activity, and increased sand temperatures. However, no study has systematically investigated the relative impact of each of these climatic processes, making it challenging for managers to prioritize their decisions and resources. To address this we offer a systematic method for eliciting expert knowledge to estimate the relative impact of climatic processes on sea turtles' terrestrial reproductive phase. For this we used as an example the world's largest population of green sea turtles and asked 22 scientists and managers to answer a paper based survey with a series of pair-wise comparison matrices that compared the anticipated impacts from each climatic process. Both scientists and managers agreed that increased sand temperature will likely cause the most threat to the reproductive output of the nGBR green turtle population followed by sea level rise, then altered cyclonic activity. The methodology used proved useful to determine the relative impact of the selected climatic processes on sea turtles' reproductive output and provided valuable information for decision-making. Thus, the methodological approach can potentially be applied to other species and ecosystems of management concern. Copyright © 2009 Elsevier Ltd. All rights reserved.

Framing research for state policymakers who place a priority on cancer

PubMed Central

Brownson, Ross C.; Dodson, Elizabeth A.; Kerner, Jon F.; Moreland-Russell, Sarah

2016-01-01

Purpose Despite the potential for reducing the cancer burden via state policy change, few data exist on how best to disseminate research information to influence state legislators' policy choices. We explored: 1) the relative importance of core framing issues (source, presentation, timeliness) among policymakers who prioritize cancer and those who do not prioritize cancer and 2) the predictors of use of research in policymaking. Methods Cross-sectional data were collected from US state policymakers (i.e., legislators elected to state Houses or Senates) from January through October 2012 (n=862). One-way analysis of variance was performed to investigate the association of the priority of cancer variable with outcome variables. Multivariate logistic regression models examined predictors of the influence of research information. Results Legislators who prioritized cancer tended to rate characteristics that make research information useful higher than those who did not prioritize cancer. Among differences that were statistically significant were three items in the “source” domain (relevance, delivered by someone respected, supports one's own position), one item in the “presentation” domain (telling a story related to constituents), and two items in the “timeliness” domain (high current state priority, feasible when information is received). Participants who prioritized cancer risk factors were 80% more likely to rate research information as one of their top reasons for choosing an issue on which to work. Conclusions Our results suggest the importance of narrative forms of communication and that research information needs to be relevant to the policymakers' constituents in a brief, concise format. PMID:27299656

Decision Analysis Methods Used to Make Appropriate Investments in Human Exploration Capabilities and Technologies

NASA Technical Reports Server (NTRS)

Williams-Byrd, Julie; Arney, Dale C.; Hay, Jason; Reeves, John D.; Craig, Douglas

2016-01-01

NASA is transforming human spaceflight. The Agency is shifting from an exploration-based program with human activities in low Earth orbit (LEO) and targeted robotic missions in deep space to a more sustainable and integrated pioneering approach. Through pioneering, NASA seeks to address national goals to develop the capacity for people to work, learn, operate, live, and thrive safely beyond Earth for extended periods of time. However, pioneering space involves daunting technical challenges of transportation, maintaining health, and enabling crew productivity for long durations in remote, hostile, and alien environments. Prudent investments in capability and technology developments, based on mission need, are critical for enabling a campaign of human exploration missions. There are a wide variety of capabilities and technologies that could enable these missions, so it is a major challenge for NASA's Human Exploration and Operations Mission Directorate (HEOMD) to make knowledgeable portfolio decisions. It is critical for this pioneering initiative that these investment decisions are informed with a prioritization process that is robust and defensible. It is NASA's role to invest in targeted technologies and capabilities that would enable exploration missions even though specific requirements have not been identified. To inform these investments decisions, NASA's HEOMD has supported a variety of analysis activities that prioritize capabilities and technologies. These activities are often based on input from subject matter experts within the NASA community who understand the technical challenges of enabling human exploration missions. This paper will review a variety of processes and methods that NASA has used to prioritize and rank capabilities and technologies applicable to human space exploration. The paper will show the similarities in the various processes and showcase instances were customer specified priorities force modifications to the process. Specifically, this paper will describe the processes that the NASA Langley Research Center (LaRC) Technology Assessment and Integration Team (TAIT) has used for several years and how those processes have been customized to meet customer needs while staying robust and defensible. This paper will show how HEOMD uses these analyses results to assist with making informed portfolio investment decisions. The paper will also highlight which human exploration capabilities and technologies typically rank high regardless of the specific design reference mission. The paper will conclude by describing future capability and technology ranking activities that will continue o leverage subject matter experts (SME) input while also incorporating more model-based analysis.

A Stakeholder-Informed Approach to the Identification of Criteria for the Prioritization of Zoonoses in Canada

PubMed Central

Ng, Victoria; Sargeant, Jan M.

2012-01-01

Background Zoonotic diseases account for over 60% of all communicable diseases causing illness in humans and 75% of recently emerging infectious diseases. As limited resources are available for the control and prevention of zoonotic diseases, it is necessary to prioritize diseases in order to direct resources into those with the greatest needs. The selection of criteria for prioritization has traditionally been on the basis of expert opinion; however, details of the methods used to identify criteria from expert opinion often are not published and a full range of criteria may not be captured by expert opinion. Methodology/Principal Findings This study used six focus groups to identify criteria for the prioritization of zoonotic diseases in Canada. Focus groups included people from the public, animal health professionals and human health professionals. A total of 59 criteria were identified for prioritizing zoonotic diseases. Human-related criteria accounted for the highest proportion of criteria identified (55%), followed by animal-related criteria (26%) then pathogen/disease-related criteria (19%). Similarities and differences were observed in the identification and scoring of criteria for disease prioritization between groups; the public groups were strongly influenced by the individual-level of disease burden, the responsibility of the scientific community in disease prioritization and the experiences of recent events while the professional groups were influenced by the societal- and population-level of disease burden and political and public pressure. Conclusions/Significance This was the first study to describe a mixed semi-quantitative and qualitative approach to deriving criteria for disease prioritization. This was also the first study to involve the opinion of the general public regarding disease prioritization. The number of criteria identified highlights the difficulty in prioritizing zoonotic diseases. The method presented in this paper has formulated a comprehensive list of criteria that can be used to inform future disease prioritization studies. PMID:22238648

Modeling Personalized Email Prioritization: Classification-based and Regression-based Approaches

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

Yoo S.; Yang, Y.; Carbonell, J.

2011-10-24

Email overload, even after spam filtering, presents a serious productivity challenge for busy professionals and executives. One solution is automated prioritization of incoming emails to ensure the most important are read and processed quickly, while others are processed later as/if time permits in declining priority levels. This paper presents a study of machine learning approaches to email prioritization into discrete levels, comparing ordinal regression versus classier cascades. Given the ordinal nature of discrete email priority levels, SVM ordinal regression would be expected to perform well, but surprisingly a cascade of SVM classifiers significantly outperforms ordinal regression for email prioritization. Inmore » contrast, SVM regression performs well -- better than classifiers -- on selected UCI data sets. This unexpected performance inversion is analyzed and results are presented, providing core functionality for email prioritization systems.« less

Health and wellbeing boards: public health decision making bodies or political pawns?

PubMed

Greaves, Z; McCafferty, S

2017-02-01

Health and Wellbeing boards in England are uniquely constituted; embedded in the local authorities with membership drawn from a range of stakeholders and partner organizations. This raises the question of how decision making functions of the boards reflects wider public health decision making, if criteria are applied to decision making, and what prioritization processes, if any, are used. Qualitative research methods were employed and five local boards were approached, interview dyads were conducted with the boards Chair and Director of Public Health across four of these (n = 4). Three questions were addressed: how are decisions made? What are the criteria applied to decision making? And how are criteria then prioritized? A thematic approach was used to analyse data identifying codes and extracting key themes. Equity, effectiveness and consistency with strategies of board and partners were most consistently identified by participants as criteria influencing decisions. Prioritization was described as an engaged and collaborative process, but criteria were not explicitly referenced in the decision making of the boards which instead made unstructured prioritization of population sub-groups or interventions agreed by consensus. Criteria identified are broadly consistent with those used in wider public health practice but additionally incorporated criteria which recognizes the political siting of the boards. The study explored the variety in different board's approaches to prioritization and identified a lack of clarity and rigour in the identification and use of criteria in prioritization processes. Decision making may benefit from the explicit inclusion of criteria in the prioritization process. Copyright © 2016 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Federal Register Notice Announcing Public Meetings on Chemical Prioritization and Risk Evaluation Processes under the Amended TSCA

EPA Pesticide Factsheets

Pre-publication version of the Federal Register notice announcing public meetings on Processes for Risk Evaluation and Chemical Prioritization for Risk Evaluation under the Amended Toxic Substances Control Act.

Validation of the Tactical Air Force’s Decision Making Process to Prioritize Modifications Using the Analytic Hierarchy Process.

DTIC Science & Technology

1987-12-01

were presented. The second part of the thesis proposed the alternative methods of decision analysis and PROMETHEE to solve TAF’s . prioritization...of decision analysis (DA) and Preference Ranking Orqanization Method for Enrichment Evaluations ( PROMETHEE ) will be explained. First, the...dollars. However, once this task is successfully accomplished, TAF would be able to use DA to prioritize their mods. The PROMETHEE is a "new class of

Defining a risk-informed framework for whole-of-government lessons learned: A Canadian perspective.

PubMed

Friesen, Shaye K; Kelsey, Shelley; Legere, J A Jim

Lessons learned play an important role in emergency management (EM) and organizational agility. Virtually all aspects of EM can derive benefit from a lessons learned program. From major security events to exercises, exploiting and applying lessons learned and "best practices" is critical to organizational resilience and adaptiveness. A robust lessons learned process and methodology provides an evidence base with which to inform decisions, guide plans, strengthen mitigation strategies, and assist in developing tools for operations. The Canadian Safety and Security Program recently supported a project to define a comprehensive framework that would allow public safety and security partners to regularly share event response best practices, and prioritize recommendations originating from after action reviews. This framework consists of several inter-locking elements: a comprehensive literature review/environmental scan of international programs; a survey to collect data from end users and management; the development of a taxonomy for organizing and structuring information; a risk-informed methodology for selecting, prioritizing, and following through on recommendations; and standardized templates and tools for tracking recommendations and ensuring implementation. This article discusses the efforts of the project team, which provided "best practice" advice and analytical support to ensure that a systematic approach to lessons learned was taken by the federal community to improve prevention, preparedness, and response activities. It posits an approach by which one might design a systematic process for information sharing and event response coordination-an approach that will assist federal departments to institutionalize a cross-government lessons learned program.

Science framework for the conservation and restoration strategy of DOI secretarial order 3336: Utilizing resilience and resistance concepts to assess threats to sagebrush ecosystems and greater sage-grouse, prioritize conservation and restoration actions, and inform management strategies

USGS Publications Warehouse

Chambers, Jeanne C.; Campbell, Steve; Carlson, John; Beck, Jeffrey L.; Clause, Karen J.; Dinkins, Jonathan B.; Doherty, Kevin E.; Espinosa, Shawn; Griffin, Kathleen A.; Christiansen, Thomas J.; Crist, Michele R.; Hanser, Steven E.; Havlina, Douglas W.; Henke, Kenneth F.; Hennig, Jacob D.; Kurth, Laurie L.; Maestas, Jeremy D.; Mayer, Kenneth E.; Manning, Mary E.; Mealor, Brian A.; McCarthy, Clinton; Pellant, Mike; Prentice, Karen L.; Perea, Marco A.; Pyke, David A.; Wiechman , Lief A.; Wuenschel, Amarina

2016-01-01

The Science Framework for the Conservation and Restoration Strategy of the Department of the Interior, Secretarial Order 3336 (SO 3336), Rangeland Fire Prevention, Management and Restoration, provides a strategic, multiscale approach for prioritizing areas for management and determining effective management strategies across the sagebrush biome. The emphasis of this version is on sagebrush ecosystems and greater sage-grouse. The Science Framework uses a six step process in which sagebrush ecosystem resilience to disturbance and resistance to nonnative, invasive annual grasses is linked to species habitat information based on the distribution and abundance of focal species. The predominant ecosystem and anthropogenic threats are assessed, and a habitat matrix is developed that helps decision makers evaluate risks and determine appropriate management strategies at regional and local scales. Areas are prioritized for management action using a geospatial approach that overlays resilience and resistance, species habitat information, and predominant threats. Decision tools are discussed for determining the suitability of priority areas for management and the most appropriate management actions at regional to local scales. The Science Framework and geospatial crosscut are intended to complement the mitigation strategies associated with the Greater Sage-Grouse Land Use Plan amendments for the Department of the Interior Bureaus, such as the Bureau of Land Management, and the U.S. Forest Service.

Retinotopic patterns of background connectivity between V1 and fronto-parietal cortex are modulated by task demands

PubMed Central

Griffis, Joseph C.; Elkhetali, Abdurahman S.; Burge, Wesley K.; Chen, Richard H.; Visscher, Kristina M.

2015-01-01

Attention facilitates the processing of task-relevant visual information and suppresses interference from task-irrelevant information. Modulations of neural activity in visual cortex depend on attention, and likely result from signals originating in fronto-parietal and cingulo-opercular regions of cortex. Here, we tested the hypothesis that attentional facilitation of visual processing is accomplished in part by changes in how brain networks involved in attentional control interact with sectors of V1 that represent different retinal eccentricities. We measured the strength of background connectivity between fronto-parietal and cingulo-opercular regions with different eccentricity sectors in V1 using functional MRI data that were collected while participants performed tasks involving attention to either a centrally presented visual stimulus or a simultaneously presented auditory stimulus. We found that when the visual stimulus was attended, background connectivity between V1 and the left frontal eye fields (FEF), left intraparietal sulcus (IPS), and right IPS varied strongly across different eccentricity sectors in V1 so that foveal sectors were more strongly connected than peripheral sectors. This retinotopic gradient was weaker when the visual stimulus was ignored, indicating that it was driven by attentional effects. Greater task-driven differences between foveal and peripheral sectors in background connectivity to these regions were associated with better performance on the visual task and faster response times on correct trials. These findings are consistent with the notion that attention drives the configuration of task-specific functional pathways that enable the prioritized processing of task-relevant visual information, and show that the prioritization of visual information by attentional processes may be encoded in the retinotopic gradient of connectivty between V1 and fronto-parietal regions. PMID:26106320

Prioritizing comparative effectiveness research for cancer diagnostics using a regional stakeholder approach

PubMed Central

Klein, Gregory; Gold, Laura S; Sullivan, Sean D; Buist, Diana SM; Ramsey, Scott; Kreizenbeck, Karma; Snell, Kyle; Loggers, Elizabeth Trice; Gifford, Joseph; Watkins, John B; Kessler, Larry

2012-01-01

Aims This paper describes our process to engage regional stakeholders for prioritizing comparative effectiveness research (CER) in cancer diagnostics. We also describe a novel methodology for incorporating stakeholder data and input to inform the objectives of selected CER studies. Materials & methods As an integrated component to establishing the infrastructure for community-based CER on diagnostic technologies, we have assembled a regional stakeholder group composed of local payers, clinicians and state healthcare representatives to not only identify and prioritize CER topics most important to the western Washington State region, but also to inform the study design of selected research areas. A landscape analysis process combining literature searches, expert consultations and stakeholder discussions was used to identify possible CER topics in cancer diagnostics. Stakeholders prioritized the top topics using a modified Delphi/group-nominal method and a standardized evaluation criteria framework to determine a final selected CER study area. Implementation of the selected study was immediate due to a unique American Recovery and Reinvestment Act funding structure involving the same researchers and stakeholders in both the prioritization and execution phases of the project. Stakeholder engagement was enhanced after study selection via a rapid analysis of a subset of payers’ internal claims, coordinated by the research team, to obtain summary data of imaging patterns of use. Results of this preliminary analysis, which we termed an ‘internal analysis,’ were used to determine with the stakeholders the most important and feasible study objectives. Results Stakeholders identified PET and MRI in cancers including breast, lung, lymphoma and colorectal as top priorities. In an internal analysis of breast cancer imaging, summary data from three payers demonstrated utilization rates of advanced imaging increased between 2002 and 2009 in the study population, with a great deal of variability in use between different health plans. Assessing whether breast MRI affects treatment decisions was the top breast cancer study objective selected by the stakeholders. There were other high-priority research areas including whether MRI use improved survival that were not deemed feasible with the length of follow-up time following MRI adoption. Conclusion Continuous stakeholder engagement greatly enhanced their enthusiasm for the project. We believe CER implementation will be more successful when undertaken by regional stakeholders. PMID:23105966

Prioritizing Information during Working Memory: Beyond Sustained Internal Attention.

PubMed

Myers, Nicholas E; Stokes, Mark G; Nobre, Anna C

2017-06-01

Working memory (WM) has limited capacity. This leaves attention with the important role of allowing into storage only the most relevant information. It is increasingly evident that attention is equally crucial for prioritizing representations within WM as the importance of individual items changes. Retrospective prioritization has been proposed to result from a focus of internal attention highlighting one of several representations. Here, we suggest an updated model, in which prioritization acts in multiple steps: first orienting towards and selecting a memory, and then reconfiguring its representational state in the service of upcoming task demands. Reconfiguration sets up an optimized perception-action mapping, obviating the need for sustained attention. This view is consistent with recent literature, makes testable predictions, and links WM with task switching and action preparation. Copyright © 2017 Elsevier Ltd. All rights reserved.

Decision making in prioritization of required operational capabilities

NASA Astrophysics Data System (ADS)

Andreeva, P.; Karev, M.; Kovacheva, Ts.

2015-10-01

The paper describes an expert heuristic approach to prioritization of required operational capabilities in the field of defense. Based on expert assessment and by application of the method of Analytical Hierarchical Process, a methodology for their prioritization has been developed. It has been applied to practical simulation decision making games.

2D Hydrodynamic Based Logic Modeling Tool for River Restoration Decision Analysis: A Quantitative Approach to Project Prioritization

NASA Astrophysics Data System (ADS)

Bandrowski, D.; Lai, Y.; Bradley, N.; Gaeuman, D. A.; Murauskas, J.; Som, N. A.; Martin, A.; Goodman, D.; Alvarez, J.

2014-12-01

In the field of river restoration sciences there is a growing need for analytical modeling tools and quantitative processes to help identify and prioritize project sites. 2D hydraulic models have become more common in recent years and with the availability of robust data sets and computing technology, it is now possible to evaluate large river systems at the reach scale. The Trinity River Restoration Program is now analyzing a 40 mile segment of the Trinity River to determine priority and implementation sequencing for its Phase II rehabilitation projects. A comprehensive approach and quantitative tool has recently been developed to analyze this complex river system referred to as: 2D-Hydrodynamic Based Logic Modeling (2D-HBLM). This tool utilizes various hydraulic output parameters combined with biological, ecological, and physical metrics at user-defined spatial scales. These metrics and their associated algorithms are the underpinnings of the 2D-HBLM habitat module used to evaluate geomorphic characteristics, riverine processes, and habitat complexity. The habitat metrics are further integrated into a comprehensive Logic Model framework to perform statistical analyses to assess project prioritization. The Logic Model will analyze various potential project sites by evaluating connectivity using principal component methods. The 2D-HBLM tool will help inform management and decision makers by using a quantitative process to optimize desired response variables with balancing important limiting factors in determining the highest priority locations within the river corridor to implement restoration projects. Effective river restoration prioritization starts with well-crafted goals that identify the biological objectives, address underlying causes of habitat change, and recognizes that social, economic, and land use limiting factors may constrain restoration options (Bechie et. al. 2008). Applying natural resources management actions, like restoration prioritization, is essential for successful project implementation (Conroy and Peterson, 2013). Evaluating tradeoffs and examining alternatives to improve fish habitat through optimization modeling is not just a trend but rather the scientific strategy by which management needs embrace and apply in its decision framework.

A checklist for health research priority setting: nine common themes of good practice.

PubMed

Viergever, Roderik F; Olifson, Sylvie; Ghaffar, Abdul; Terry, Robert F

2010-12-15

Health research priority setting processes assist researchers and policymakers in effectively targeting research that has the greatest potential public health benefit. Many different approaches to health research prioritization exist, but there is no agreement on what might constitute best practice. Moreover, because of the many different contexts for which priorities can be set, attempting to produce one best practice is in fact not appropriate, as the optimal approach varies per exercise. Therefore, following a literature review and an analysis of health research priority setting exercises that were organized or coordinated by the World Health Organization since 2005, we propose a checklist for health research priority setting that allows for informed choices on different approaches and outlines nine common themes of good practice. It is intended to provide generic assistance for planning health research prioritization processes. The checklist explains what needs to be clarified in order to establish the context for which priorities are set; it reviews available approaches to health research priority setting; it offers discussions on stakeholder participation and information gathering; it sets out options for use of criteria and different methods for deciding upon priorities; and it emphasizes the importance of well-planned implementation, evaluation and transparency.

A Mixed Prioritization Operators Strategy Using A Single Measurement Criterion For AHP Application Development

NASA Astrophysics Data System (ADS)

Yuen, Kevin Kam Fung

2009-10-01

The most appropriate prioritization method is still one of the unsettled issues of the Analytic Hierarchy Process, although many studies have been made and applied. Interestingly, many AHP applications apply only Saaty's Eigenvector method as many studies have found that this method may produce rank reversals and have proposed various prioritization methods as alternatives. Some methods have been proved to be better than the Eigenvector method. However, these methods seem not to attract the attention of researchers. In this paper, eight important prioritization methods are reviewed. A Mixed Prioritization Operators Strategy (MPOS) is developed to select a vector which is prioritized by the most appropriate prioritization operator. To verify this new method, a case study of high school selection is revised using the proposed method. The contribution is that MPOS is useful for solving prioritization problems in the AHP.

Advances on a Decision Analytic Approach to Exposure-Based Chemical Prioritization.

PubMed

Wood, Matthew D; Plourde, Kenton; Larkin, Sabrina; Egeghy, Peter P; Williams, Antony J; Zemba, Valerie; Linkov, Igor; Vallero, Daniel A

2018-05-11

The volume and variety of manufactured chemicals is increasing, although little is known about the risks associated with the frequency and extent of human exposure to most chemicals. The EPA and the recent signing of the Lautenberg Act have both signaled the need for high-throughput methods to characterize and screen chemicals based on exposure potential, such that more comprehensive toxicity research can be informed. Prior work of Mitchell et al. using multicriteria decision analysis tools to prioritize chemicals for further research is enhanced here, resulting in a high-level chemical prioritization tool for risk-based screening. Reliable exposure information is a key gap in currently available engineering analytics to support predictive environmental and health risk assessments. An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors, and the values for each chemical associated with each metric were approximated with data from EPA's CP_CAT database. Three different versions of the model were evaluated using distinct weight profiles, resulting in three different ranked chemical prioritizations with only a small degree of variation across weight profiles. Future work will aim to include greater input from human factors experts and better define qualitative metrics. © 2018 Society for Risk Analysis.

Read-out of emotional information from iconic memory: the longevity of threatening stimuli.

PubMed

Kuhbandner, Christof; Spitzer, Bernhard; Pekrun, Reinhard

2011-05-01

Previous research has shown that emotional stimuli are more likely than neutral stimuli to be selected by attention, indicating that the processing of emotional information is prioritized. In this study, we examined whether the emotional significance of stimuli influences visual processing already at the level of transient storage of incoming information in iconic memory, before attentional selection takes place. We used a typical iconic memory task in which the delay of a poststimulus cue, indicating which of several visual stimuli has to be reported, was varied. Performance decreased rapidly with increasing cue delay, reflecting the fast decay of information stored in iconic memory. However, although neutral stimulus information and emotional stimulus information were initially equally likely to enter iconic memory, the subsequent decay of the initially stored information was slowed for threatening stimuli, a result indicating that fear-relevant information has prolonged availability for read-out from iconic memory. This finding provides the first evidence that emotional significance already facilitates stimulus processing at the stage of iconic memory.

The development and implementation of a strategic and tactical planning framework at Mayo Clinic Arizona.

PubMed

Frey, Keith; Cranmer, John Jack; Kirby, Lani J; Lenko, Paul H; Vrabel, Amy Z

2005-01-01

This article describes the Mayo Arizona process for developing an information technology strategic plan. The background of organizational events that gave rise to this strategic planning process is presented. A cross-functional team of key IT stakeholders was convened; the team used a facilitated process to derive a pro forma set of IT strategic objectives from the larger organization's emerging strategic plan. A broad set of leadership interviews was conducted to further identify detailed objectives that would confirm, complement, or conflict with the "strawperson." The IT strategic objectives then were refined and published by the organization. The article also describes the annual process of reviewing the IT strategic plan and translating it to a set of tactical objectives. This includes the committee structure for project prioritization, which is guided by the IT strategic plan. The outcome of the prioritization process is a five-year IT tactical plan, which is used to communicate the IT action plan for achievement of the strategic objectives. The strategic and tactical plans have resulted in stronger ownership and advocacy of IT activities by organizational leadership and a clearer view of the impact of technology on the organization's strategic plan.

CROSS: A GDSS for the Evaluation and Prioritization of Engineering Support Requests and Advanced Technology Projects at NASA

NASA Technical Reports Server (NTRS)

Tavana, Madjid; Lee, Seunghee

1996-01-01

Objective evaluation and prioritization of engineering support requests (ESRs) is a difficult task at the Kennedy Space Center (KSC) Shuttle Project Engineering Office. The difficulty arises from the complexities inherent in the evaluation process and the lack of structured information. The purpose of this project is to implement the consensus ranking organizational support system (CROSS), a multiple criteria decision support system (DSS) developed at KSC that captures the decision maker's beliefs through a series of sequential, rational, and analytical processes. CROSS utilizes the analytic hierarchy process (AHP), subjective probabilities, entropy concept, and maximize agreement heuristic (MAH) to enhance the decision maker's intuition in evaluation ESRs. Some of the preliminary goals of the project are to: (1) revisit the structure of the ground systems working team (GWST) steering committee, (2) develop a template for ESR originators to provide more comple and consistent information to the GSWT steering committee members to eliminate the need for a facilitator, (3) develop an objective and structured process for the initial screening of ESRs, (4) extensive training of the stakeholders and the GWST steering committee to eliminate the need for a facilitator, (5) automate the process as much as possible, (6) create an environment to compile project success factor data on ESRs and move towards a disciplined system that could be used to address supportability threshold issues at the KSC, and (7) investigate the possibility of an organization-wide implementation of CROSS.

Balancing research and funding using value of information and portfolio tools for nanomaterial risk classification

NASA Astrophysics Data System (ADS)

Bates, Matthew E.; Keisler, Jeffrey M.; Zussblatt, Niels P.; Plourde, Kenton J.; Wender, Ben A.; Linkov, Igor

2016-02-01

Risk research for nanomaterials is currently prioritized by means of expert workshops and other deliberative processes. However, analytical techniques that quantify and compare alternative research investments are increasingly recommended. Here, we apply value of information and portfolio decision analysis—methods commonly applied in financial and operations management—to prioritize risk research for multiwalled carbon nanotubes and nanoparticulate silver and titanium dioxide. We modify the widely accepted CB Nanotool hazard evaluation framework, which combines nano- and bulk-material properties into a hazard score, to operate probabilistically with uncertain inputs. Literature is reviewed to develop uncertain estimates for each input parameter, and a Monte Carlo simulation is applied to assess how different research strategies can improve hazard classification. The relative cost of each research experiment is elicited from experts, which enables identification of efficient research portfolios—combinations of experiments that lead to the greatest improvement in hazard classification at the lowest cost. Nanoparticle shape, diameter, solubility and surface reactivity were most frequently identified within efficient portfolios in our results.

Balancing research and funding using value of information and portfolio tools for nanomaterial risk classification.

PubMed

Bates, Matthew E; Keisler, Jeffrey M; Zussblatt, Niels P; Plourde, Kenton J; Wender, Ben A; Linkov, Igor

2016-02-01

Risk research for nanomaterials is currently prioritized by means of expert workshops and other deliberative processes. However, analytical techniques that quantify and compare alternative research investments are increasingly recommended. Here, we apply value of information and portfolio decision analysis-methods commonly applied in financial and operations management-to prioritize risk research for multiwalled carbon nanotubes and nanoparticulate silver and titanium dioxide. We modify the widely accepted CB Nanotool hazard evaluation framework, which combines nano- and bulk-material properties into a hazard score, to operate probabilistically with uncertain inputs. Literature is reviewed to develop uncertain estimates for each input parameter, and a Monte Carlo simulation is applied to assess how different research strategies can improve hazard classification. The relative cost of each research experiment is elicited from experts, which enables identification of efficient research portfolios-combinations of experiments that lead to the greatest improvement in hazard classification at the lowest cost. Nanoparticle shape, diameter, solubility and surface reactivity were most frequently identified within efficient portfolios in our results.

Multivariate probability distribution for sewer system vulnerability assessment under data-limited conditions.

PubMed

Del Giudice, G; Padulano, R; Siciliano, D

2016-01-01

The lack of geometrical and hydraulic information about sewer networks often excludes the adoption of in-deep modeling tools to obtain prioritization strategies for funds management. The present paper describes a novel statistical procedure for defining the prioritization scheme for preventive maintenance strategies based on a small sample of failure data collected by the Sewer Office of the Municipality of Naples (IT). Novelty issues involve, among others, considering sewer parameters as continuous statistical variables and accounting for their interdependences. After a statistical analysis of maintenance interventions, the most important available factors affecting the process are selected and their mutual correlations identified. Then, after a Box-Cox transformation of the original variables, a methodology is provided for the evaluation of a vulnerability map of the sewer network by adopting a joint multivariate normal distribution with different parameter sets. The goodness-of-fit is eventually tested for each distribution by means of a multivariate plotting position. The developed methodology is expected to assist municipal engineers in identifying critical sewers, prioritizing sewer inspections in order to fulfill rehabilitation requirements.

Prioritization of pharmaceuticals based on risks to aquatic environments in Kazakhstan.

PubMed

Aubakirova, Bakhyt; Beisenova, Raikhan; Boxall, Alistair Ba

2017-09-01

Over the last 20 years, there has been increasing interest in the occurrence, fate, effects, and risk of pharmaceuticals in the natural environment. However, we still have only limited or no data on ecotoxicological risks of many of the active pharmaceutical ingredients (APIs) currently in use. This is partly due to the fact that the environmental assessment of an API is an expensive, time-consuming, and complicated process. Prioritization methodologies, which aim to identify APIs of most concern in a particular situation, could therefore be invaluable in focusing experimental work on APIs that really matter. The majority of approaches for prioritizing APIs require annual pharmaceutical usage data. These methods cannot therefore be applied to countries, such as Kazakhstan, that have very limited data on API usage. The present paper therefore offers an approach for prioritizing APIs in surface waters in information-poor regions such as Kazakhstan. Initially data were collected on the number of products and active ingredients for different therapeutic classes in use in Kazakhstan and on the typical doses. These data were then used alongside simple exposure modeling approaches to estimate exposure indices for active ingredients (about 240 APIs) in surface waters in the country. Ecotoxicological effects data were obtained from the literature or predicted. Risk quotients were then calculated for each pharmaceutical based on the exposure and the substances were ranked in order of risk quotient. Highest exposure indices were obtained for benzylpenicillin, metronidazole, sulbactam, ceftriaxone, and sulfamethoxazole. The highest risk was estimated for amoxicillin, clarithromycin, azithromycin, ketoconazole, and benzylpenicillin. In the future, the approach could be employed in other regions where usage information is limited. Integr Environ Assess Manag 2017;13:832-839. © 2017 SETAC. © 2017 SETAC.

Developing an Approach to Prioritize River Restoration using Data Extracted from Flood Risk Information System Databases.

NASA Astrophysics Data System (ADS)

Vimal, S.; Tarboton, D. G.; Band, L. E.; Duncan, J. M.; Lovette, J. P.; Corzo, G.; Miles, B.

2015-12-01

Prioritizing river restoration requires information on river geometry. In many states in the US detailed river geometry has been collected for floodplain mapping and is available in Flood Risk Information Systems (FRIS). In particular, North Carolina has, for its 100 Counties, developed a database of numerous HEC-RAS models which are available through its Flood Risk Information System (FRIS). These models that include over 260 variables were developed and updated by numerous contractors. They contain detailed surveyed or LiDAR derived cross-sections and modeled flood extents for different extreme event return periods. In this work, over 4700 HEC-RAS models' data was integrated and upscaled to utilize detailed cross-section information and 100-year modelled flood extent information to enable river restoration prioritization for the entire state of North Carolina. We developed procedures to extract geomorphic properties such as entrenchment ratio, incision ratio, etc. from these models. Entrenchment ratio quantifies the vertical containment of rivers and thereby their vulnerability to flooding and incision ratio quantifies the depth per unit width. A map of entrenchment ratio for the whole state was derived by linking these model results to a geodatabase. A ranking of highly entrenched counties enabling prioritization for flood allowance and mitigation was obtained. The results were shared through HydroShare and web maps developed for their visualization using Google Maps Engine API.

Feasibility of Including Green Tea Products for an Analytically Verified Dietary Supplement Database

PubMed Central

Saldanha, Leila; Dwyer, Johanna; Andrews, Karen; Betz, Joseph; Harnely, James; Pehrsson, Pamela; Rimmer, Catherine; Savarala, Sushma

2015-01-01

The Dietary Supplement Ingredient Database (DSID) is a federally funded, publicly accessible dietary supplement database that currently contains analytically-derived information on micronutrients in selected adult and children’s multivitamin and mineral (MVM) supplements. Other constituents in dietary supplement products such as botanicals are also of interest and thus are being considered for inclusion in the DSID. Thirty-eight constituents, mainly botanicals were identified and prioritized by a federal interagency committee. Green tea was selected from this list as the botanical for expansion of the DSID. This paper describes the process for prioritizing dietary ingredients in the DSID. It also discusses the criteria for inclusion of these ingredients, and the approach for selecting and testing products for the green tea pilot study. PMID:25817236

Emotional arousal amplifies the effects of biased competition in the brain

PubMed Central

Lee, Tae-Ho; Sakaki, Michiko; Cheng, Ruth; Velasco, Ricardo

2014-01-01

The arousal-biased competition model predicts that arousal increases the gain on neural competition between stimuli representations. Thus, the model predicts that arousal simultaneously enhances processing of salient stimuli and impairs processing of relatively less-salient stimuli. We tested this model with a simple dot-probe task. On each trial, participants were simultaneously exposed to one face image as a salient cue stimulus and one place image as a non-salient stimulus. A border around the face cue location further increased its bottom-up saliency. Before these visual stimuli were shown, one of two tones played: one that predicted a shock (increasing arousal) or one that did not. An arousal-by-saliency interaction in category-specific brain regions (fusiform face area for salient faces and parahippocampal place area for non-salient places) indicated that brain activation associated with processing the salient stimulus was enhanced under arousal whereas activation associated with processing the non-salient stimulus was suppressed under arousal. This is the first functional magnetic resonance imaging study to demonstrate that arousal can enhance information processing for prioritized stimuli while simultaneously impairing processing of non-prioritized stimuli. Thus, it goes beyond previous research to show that arousal does not uniformly enhance perceptual processing, but instead does so selectively in ways that optimizes attention to highly salient stimuli. PMID:24532703

Visualizing Revision: Leveraging Student-Generated Between-Draft Diagramming Data in Support of Academic Writing Development

ERIC Educational Resources Information Center

Olmanson, Justin; Kennett, Katrina; Magnifico, Alecia; McCarthey, Sarah; Searsmith, Duane; Cope, Bill; Kalantzis, Mary

2016-01-01

Once writers complete a first draft, they are often encouraged to evaluate their writing and prioritize what to revise. Yet, this process can be both daunting and difficult. This study looks at how students used a semantic concept mapping tool to re-present the content and organization of their initial draft of an informational text. We examine…

The Effects of Frequency of Media Utilization on Decision Making of Media Choice

ERIC Educational Resources Information Center

Gotoh, Yasushi

2014-01-01

The purpose of this study is to use the Analytic Hierarchy Process in order to identify how frequency of media use in daily life affects decision-making in media choice. 276 university students took part in this research, They were asked to prioritize their ways of obtaining information about current affairs using sets of media such as TV, books,…

Chapter 3: Simulating fire hazard across landscapes through time: integrating state-and-transition models with the Fuel Characteristic Classification System

Treesearch

Jessica E. Halofsky; Stephanie K. Hart; Miles A. Hemstrom; Joshua S. Halofsky; Morris C. Johnson

2014-01-01

Information on the effects of management activities such as fuel reduction treatments and of processes such as vegetation growth and disturbance on fire hazard can help land managers prioritize treatments across a landscape to best meet management goals. State-and-transition models (STMs) allow landscape-scale simulations that incorporate effects of succession,...

Plan of study to quantify the hydrologic relations between the Rio Grande and the Santa Fe Group aquifer system near Albuquerque, central New Mexico

USGS Publications Warehouse

McAda, D.P.

1996-01-01

The Albuquerque Basin in central New Mexico covers an area of about 3,060 square miles. Ground water from the Santa Fe Group aquifer system of the Albuquerque Basin is the principal source of water for municipal, domestic, commercial, and industrial uses in the Albuquerque area, an area of about 410 square miles. Ground- water withdrawal in the basin has increased from about 97,000 acre-feet in 1970 to about 171,000 acre-feet in 1994. About 92 percent of the 1994 total was withdrawn in the Albuquerque area. Management of ground water in the Albuquerque Basin is related to the surface water in the Rio Grande. Because the aquifer system is hydraulically connected to the Rio Grande and water in the river is fully appropriated, the ability to reliably estimate the effects of ground-water withdrawals on flow in the river is important. This report describes the components of the Rio Grande/Santa Fe Group aquifer system in the Albuquerque area and the data availability and data and interpretation needs relating to those components, and presents a plan of study to quantify the hydrologic relations between the Rio Grande and the Santa Fe Group aquifer system. The information needs related to the components of the river/aquifer system are prioritized. Information that is necessary to improve the understanding or quantification of a component in the river/aquifer system is prioritized as essential. Information that could add additional understanding of the system, but would not be necessary to improve the quantification of the system, is prioritized as useful. The study elements are prioritized in the same manner as the information needs; study elements designed to provide information considered necessary to improve the quantification of the system are prioritized as essential, and those designed to provide information that would add additional understanding of the system, but would not be necessary to improve the quantification of the system, are prioritized as useful.

The impact of napping on memory for future-relevant stimuli: Prioritization among multiple salience cues.

PubMed

Bennion, Kelly A; Payne, Jessica D; Kensinger, Elizabeth A

2016-06-01

Prior research has demonstrated that sleep enhances memory for future-relevant information, including memory for information that is salient due to emotion, reward, or knowledge of a later memory test. Although sleep has been shown to prioritize information with any of these characteristics, the present study investigates the novel question of how sleep prioritizes information when multiple salience cues exist. Participants encoded scenes that were future-relevant based on emotion (emotional vs. neutral), reward (rewarded vs. unrewarded), and instructed learning (intentionally vs. incidentally encoded), preceding a delay consisting of a nap, an equivalent time period spent awake, or a nap followed by wakefulness (to control for effects of interference). Recognition testing revealed that when multiple dimensions of future relevance co-occur, sleep prioritizes top-down, goal-directed cues (instructed learning, and to a lesser degree, reward) over bottom-up, stimulus-driven characteristics (emotion). Further, results showed that these factors interact; the effect of a nap on intentionally encoded information was especially strong for neutral (relative to emotional) information, suggesting that once one cue for future relevance is present, there are diminishing returns with additional cues. Sleep may binarize information based on whether it is future-relevant or not, preferentially consolidating memory for the former category. Potential neural mechanisms underlying these selective effects and the implications of this research for educational and vocational domains are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics.

PubMed

Penrod, Nadia M; Moore, Jason H

2014-02-05

The demand for novel molecularly targeted drugs will continue to rise as we move forward toward the goal of personalizing cancer treatment to the molecular signature of individual tumors. However, the identification of targets and combinations of targets that can be safely and effectively modulated is one of the greatest challenges facing the drug discovery process. A promising approach is to use biological networks to prioritize targets based on their relative positions to one another, a property that affects their ability to maintain network integrity and propagate information-flow. Here, we introduce influence networks and demonstrate how they can be used to generate influence scores as a network-based metric to rank genes as potential drug targets. We use this approach to prioritize genes as drug target candidates in a set of ER⁺ breast tumor samples collected during the course of neoadjuvant treatment with the aromatase inhibitor letrozole. We show that influential genes, those with high influence scores, tend to be essential and include a higher proportion of essential genes than those prioritized based on their position (i.e. hubs or bottlenecks) within the same network. Additionally, we show that influential genes represent novel biologically relevant drug targets for the treatment of ER⁺ breast cancers. Moreover, we demonstrate that gene influence differs between untreated tumors and residual tumors that have adapted to drug treatment. In this way, influence scores capture the context-dependent functions of genes and present the opportunity to design combination treatment strategies that take advantage of the tumor adaptation process. Influence networks efficiently find essential genes as promising drug targets and combinations of targets to inform the development of molecularly targeted drugs and their use.

Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeutics

PubMed Central

2014-01-01

Background The demand for novel molecularly targeted drugs will continue to rise as we move forward toward the goal of personalizing cancer treatment to the molecular signature of individual tumors. However, the identification of targets and combinations of targets that can be safely and effectively modulated is one of the greatest challenges facing the drug discovery process. A promising approach is to use biological networks to prioritize targets based on their relative positions to one another, a property that affects their ability to maintain network integrity and propagate information-flow. Here, we introduce influence networks and demonstrate how they can be used to generate influence scores as a network-based metric to rank genes as potential drug targets. Results We use this approach to prioritize genes as drug target candidates in a set of ER + breast tumor samples collected during the course of neoadjuvant treatment with the aromatase inhibitor letrozole. We show that influential genes, those with high influence scores, tend to be essential and include a higher proportion of essential genes than those prioritized based on their position (i.e. hubs or bottlenecks) within the same network. Additionally, we show that influential genes represent novel biologically relevant drug targets for the treatment of ER + breast cancers. Moreover, we demonstrate that gene influence differs between untreated tumors and residual tumors that have adapted to drug treatment. In this way, influence scores capture the context-dependent functions of genes and present the opportunity to design combination treatment strategies that take advantage of the tumor adaptation process. Conclusions Influence networks efficiently find essential genes as promising drug targets and combinations of targets to inform the development of molecularly targeted drugs and their use. PMID:24495353

Information prioritization for control and automation of space operations

NASA Technical Reports Server (NTRS)

Ray, Asock; Joshi, Suresh M.; Whitney, Cynthia K.; Jow, Hong N.

1987-01-01

The applicability of a real-time information prioritization technique to the development of a decision support system for control and automation of Space Station operations is considered. The steps involved in the technique are described, including the definition of abnormal scenarios and of attributes, measures of individual attributes, formulation and optimization of a cost function, simulation of test cases on the basis of the cost function, and examination of the simulation scenerios. A list is given comparing the intrinsic importances of various Space Station information data.

Heterosexual female adolescents' decision-making about sexual intercourse and pregnancy in rural Ontario, Canada.

PubMed

Ezer, Paulina; Leipert, Bev; Evans, Marilyn; Regan, Sandra

2016-01-01

Rural female adolescents experience unique circumstances to sexual health care and information as compared to urban adolescents. These circumstances are largely due to their more isolated geographical location and rural sociocultural factors. These circumstances may be contributing factors to an incidence of adolescent pregnancy that is higher in rural areas than in urban cities. Thus, this higher incidence of pregnancy may be due to the ways in which rural adolescents make decisions regarding engagement in sexual intercourse. However, the rural female adolescent sexual decision-making process has rarely, if ever, been studied, and further investigation of this process is necessary. Focusing on rural female adolescents aged 16-19 years is especially significant as this age range is used for reporting most pregnancy and birth statistics in Ontario. Charmaz's guidelines for a constructivist grounded theory methodology were used to gain an in-depth understanding of eight Ontario rural female adolescents' decision-making process regarding sexual intercourse and pregnancy, and how they viewed rural factors and circumstances influencing this process. Research participants were obtained through initial sampling (from criteria developed prior to the study) and theoretical sampling (by collecting data that better inform the categories emerging from the data). Eight participants, aged 16-19 years, were invited to each take part in 1-2-hour individual interviews, and four of these participants were interviewed a second time to verify and elaborate on emerging constructed concepts, conceptual relationships, and the developing process. Data collection and analysis included both field notes and individual interviews in person and over the telephone. Data were analyzed for emerging themes to construct a theory to understand the participants' experiences making sexual decisions in a rural environment. The adolescent sexual decision-making process, Prioritizing Influences, that emerged from the analysis was a complex and non-linear process that involved prioritizing four influences within the rural context. The influences that participants of this study described as being part of their sexual decision-making process were personal values and circumstances, family values and expectations, friends' influences, and community influences. When influences coincided, they strengthened participants' sexual decisions, whereas when influences opposed each other, participants felt conflicted and prioritized the influence that had the most effect on their personal lives and future goals. Although these influences may be common to all adolescents, they impact the rural female adolescent sexual decision-making process by influencing and being influenced by geographical and sociocultural factors that make up the rural context. This study reveals important new and preliminary information about rural female adolescents' sexual decision-making process and factors that affect it. Findings improve understanding of how rural female adolescents make choices regarding sexual intercourse and pregnancy and can be used to guide future research projects that could facilitate effective development of sexual health promotion initiatives, inform rural health policy and practices, and enhance existing sexual education programs in rural communities.

Prioritizing conservation effort through the use of biological soil crusts as ecosystem function indicators in an arid region

USGS Publications Warehouse

Bowker, M.A.; Miller, M.E.; Belnap, J.; Sisk, T.D.; Johnson, N.C.

2008-01-01

Conservation prioritization usually focuses on conservation of rare species or biodiversity, rather than ecological processes. This is partially due to a lack of informative indicators of ecosystem function. Biological soil crusts (BSCs) trap and retain soil and water resources in arid ecosystems and function as major carbon and nitrogen fixers; thus, they may be informative indicators of ecosystem function. We created spatial models of multiple indicators of the diversity and function of BSCs (species richness, evenness, functional diversity, functional redundancy, number of rare species, number of habitat specialists, nitrogen and carbon fixation indices, soil stabilization, and surface roughening) for the 800,000-ha Grand Staircase-Escalante National Monument (Utah, U.S.A.). We then combined the indicators into a single BSC function map and a single BSC biodiversity map (2 alternative types of conservation value) with an unweighted averaging procedure and a weighted procedure derived from validations performance. We also modeled potential degradation with data from a rangeland assessment survey. To determine which areas on the landscape were the highest conservation priorities, we overlaid the function- and diversity-based conservation-value layers on the potential degradation layer. Different methods for ascribing conservation-value and conservation-priority layers all yielded strikingly similar results (r = 0.89-0.99), which suggests that in this case biodiversity and function can be conserved simultaneously. We believe BSCs can be used as indicators of ecosystem function in concert with other indicators (such as plant-community properties) and that such information can be used to prioritize conservation effort in drylands. ?? 2008 Society for Conservation Biology.

Discovery informatics in biological and biomedical sciences: research challenges and opportunities.

PubMed

Honavar, Vasant

2015-01-01

New discoveries in biological, biomedical and health sciences are increasingly being driven by our ability to acquire, share, integrate and analyze, and construct and simulate predictive models of biological systems. While much attention has focused on automating routine aspects of management and analysis of "big data", realizing the full potential of "big data" to accelerate discovery calls for automating many other aspects of the scientific process that have so far largely resisted automation: identifying gaps in the current state of knowledge; generating and prioritizing questions; designing studies; designing, prioritizing, planning, and executing experiments; interpreting results; forming hypotheses; drawing conclusions; replicating studies; validating claims; documenting studies; communicating results; reviewing results; and integrating results into the larger body of knowledge in a discipline. Against this background, the PSB workshop on Discovery Informatics in Biological and Biomedical Sciences explores the opportunities and challenges of automating discovery or assisting humans in discovery through advances (i) Understanding, formalization, and information processing accounts of, the entire scientific process; (ii) Design, development, and evaluation of the computational artifacts (representations, processes) that embody such understanding; and (iii) Application of the resulting artifacts and systems to advance science (by augmenting individual or collective human efforts, or by fully automating science).

Improved monitoring framework for local planning in the water, sanitation and hygiene sector: From data to decision-making.

PubMed

Garriga, Ricard Giné; de Palencia, Alejandro Jiménez Fdez; Foguet, Agustí Pérez

2015-09-01

Today, a vast proportion of people still lack a simple pit latrine and a source of safe drinking water. To help end this appalling state of affairs, there is a pressing need to provide policymakers with evidences which may be the basis of effective planning, targeting and prioritization. Two major challenges often hinder this process: i) lack of reliable data to identify which areas are most in need; and ii) inadequate instruments for decision-making support. In tackling previous shortcomings, this paper proposes a monitoring framework to compile, analyze, interpret and disseminate water, sanitation and hygiene information. In an era of decentralization, where decision-making moves to local governments, we apply such framework at the local level. The ultimate goal is to develop appropriate tools for decentralized planning support. To this end, the study first implements a methodology for primary data collection, which combines the household and the waterpoint as information sources. In doing so, we provide a complete picture of the context in which domestic WASH services are delivered. Second, the collected data are analyzed to underline the emerging development challenges. The use of simple planning indicators serves as the basis to i) reveal which areas require policy attention, and to ii) identify the neediest. Third, a classification process is proposed to prioritize among various populations. Three different case studies from East and Southern African countries are presented. Results indicate that accurate and comprehensive data, if adequately exploited through simple instruments, may be the basis of effective targeting and prioritization, which are central to sector planning. The application of the proposed framework in the real world, however, is to a certain extent elusive; and we point out to conclude two specific challenges that remain unaddressed, namely the upgrade of existing decision-making processes to enhance transparency and inclusiveness, and the development of data updating mechanisms. Copyright © 2015 Elsevier B.V. All rights reserved.

ExpoCast: Exposure Science for Prioritization and Toxicity Testing (T)

EPA Science Inventory

The US EPA National Center for Computational Toxicology (NCCT) has a mission to integrate modern computing and information technology with molecular biology to improve Agency prioritization of data requirements and risk assessment of chemicals. Recognizing the critical need for ...

A Management Information System Model for Program Management. Ph.D. Thesis - Oklahoma State Univ.; [Computerized Systems Analysis

NASA Technical Reports Server (NTRS)

Shipman, D. L.

1972-01-01

The development of a model to simulate the information system of a program management type of organization is reported. The model statistically determines the following parameters: type of messages, destinations, delivery durations, type processing, processing durations, communication channels, outgoing messages, and priorites. The total management information system of the program management organization is considered, including formal and informal information flows and both facilities and equipment. The model is written in General Purpose System Simulation 2 computer programming language for use on the Univac 1108, Executive 8 computer. The model is simulated on a daily basis and collects queue and resource utilization statistics for each decision point. The statistics are then used by management to evaluate proposed resource allocations, to evaluate proposed changes to the system, and to identify potential problem areas. The model employs both empirical and theoretical distributions which are adjusted to simulate the information flow being studied.

Self-Prioritization Beyond Perception.

PubMed

Schäfer, Sarah; Wentura, Dirk; Frings, Christian

2015-01-01

Recently, Sui, He, and Humphreys (2012) introduced a new paradigm to measure perceptual self-prioritization processes. It seems that arbitrarily tagging shapes to self-relevant words (I, my, me, and so on) leads to speeded verification times when matching self-relevant word shape pairings (e.g., me - triangle) as compared to non-self-relevant word shape pairings (e.g., stranger - circle). In order to analyze the level at which self-prioritization takes place we analyzed whether the self-prioritization effect is due to a tagging of the self-relevant label and the particular associated shape or due to a tagging of the self with an abstract concept. In two experiments participants showed standard self-prioritization effects with varying stimulus features or different exemplars of a particular stimulus-category suggesting that self-prioritization also works at a conceptual level.

A PROCESS OF PRIORITIZING TOPICS FOR HEALTH TECHNOLOGY ASSESSMENT IN KAZAKHSTAN.

PubMed

Kosherbayeva, Lyazzat; Hailey, David; Kurakbaev, Kural; Tabarov, Adlet; Kumar, Ainur; Gutzskaya, Gulnara; Stepkina, Elena

2016-01-01

The aim of this study was to develop criteria for the prioritization of topics for health technology assessment (HTA) in the healthcare system of Kazakhstan. Initial proposals for criteria were suggested through consultation with Ministry of Health (MoH) policy areas. These were refined through a workshop attended by HTA department staff, persons from medical universities and research institutes, and MoH policy makers. The workshop included discussion on methods used in international HTA practice. Opinions of participants on selection of criteria from those specified in a review of prioritization processes were used to define a list for inclusion in an instrument for routine use. A scoring system was established in later discussion. Selected criteria for HTA prioritization were burden of disease, availability of alternative technology, clinical effectiveness, economic efficiency, budget impact, and ethical, legal, and/or psychosocial aspects. For each criterion, a health technology under consideration is given a score from 3 (High) to 1 (Low). The total score determines whether the technology is of high to medium priority or of low priority. Determination of priorities for assessment, using the instrument, should be carried out by an expert group appointed by the MoH. The process was applied in 2014 to a selection of topics, and three health technologies were chosen for full assessments. Criteria for prioritization have evolved with development of the HTA program in Kazakhstan. A method for HTA prioritization has been developed that is easy to apply, requires comparatively few resources, and is compatible with processes required by the MoH.

The elephant in the room: Inconsistency in scene viewing and representation.

PubMed

Spotorno, Sara; Tatler, Benjamin W

2017-10-01

We examined the extent to which semantic informativeness, consistency with expectations and perceptual salience contribute to object prioritization in scene viewing and representation. In scene viewing (Experiments 1-2), semantic guidance overshadowed perceptual guidance in determining fixation order, with the greatest prioritization for objects that were diagnostic of the scene's depicted event. Perceptual properties affected selection of consistent objects (regardless of their informativeness) but not of inconsistent objects. Semantic and perceptual properties also interacted in influencing foveal inspection, as inconsistent objects were fixated longer than low but not high salience diagnostic objects. While not studied in direct competition with each other (each studied in competition with diagnostic objects), we found that inconsistent objects were fixated earlier and for longer than consistent but marginally informative objects. In change detection (Experiment 3), perceptual guidance overshadowed semantic guidance, promoting detection of highly salient changes. A residual advantage for diagnosticity over inconsistency emerged only when selection prioritization could not be based on low-level features. Overall these findings show that semantic inconsistency is not prioritized within a scene when competing with other relevant information that is essential to scene understanding and respects observers' expectations. Moreover, they reveal that the relative dominance of semantic or perceptual properties during selection depends on ongoing task requirements. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

How Are New Vaccines Prioritized in Low-Income Countries? A Case Study of Human Papilloma Virus Vaccine and Pneumococcal Conjugate Vaccine in Uganda.

PubMed

Wallace, Lauren; Kapirir, Lydia

2017-04-08

To date, research on priority-setting for new vaccines has not adequately explored the influence of the global, national and sub-national levels of decision-making or contextual issues such as political pressure and stakeholder influence and power. Using Kapiriri and Martin's conceptual framework, this paper evaluates priority setting for new vaccines in Uganda at national and sub-national levels, and considers how global priorities can influence country priorities. This study focuses on 2 specific vaccines, the human papilloma virus (HPV) vaccine and the pneumococcal conjugate vaccine (PCV). This was a qualitative study that involved reviewing relevant Ugandan policy documents and media reports, as well as 54 key informant interviews at the global level and national and sub-national levels in Uganda. Kapiriri and Martin's conceptual framework was used to evaluate the prioritization process. Priority setting for PCV and HPV was conducted by the Ministry of Health (MoH), which is considered to be a legitimate institution. While respondents described the priority setting process for PCV process as transparent, participatory, and guided by explicit relevant criteria and evidence, the prioritization of HPV was thought to have been less transparent and less participatory. Respondents reported that neither process was based on an explicit priority setting framework nor did it involve adequate representation from the districts (program implementers) or publicity. The priority setting process for both PCV and HPV was negatively affected by the larger political and economic context, which contributed to weak institutional capacity as well as power imbalances between development assistance partners and the MoH. Priority setting in Uganda would be improved by strengthening institutional capacity and leadership and ensuring a transparent and participatory processes in which key stakeholders such as program implementers (the districts) and beneficiaries (the public) are involved. Kapiriri and Martin's framework has the potential to guide priority setting evaluation efforts, however, evaluation should be built into the priority setting process a priori such that information on priority setting is gathered throughout the implementation cycle. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

The planning cycle.

PubMed

Johnson, William

2005-01-01

Information technology planning can be described as a continuous cyclical process composed of three phases whose primary purpose is optimum allocation of scarce resources. In the assessment phase, planners assess user needs, environmental factors, business objectives, and IT infrastructure needs to develop IT projects that address needs in each of these areas. A major goal of this phase is to develop a broad IT inventory. The prioritization phase seeks to ensure optimum allocation of scarce resources by prioritizing ITprojects based on: Costs--total life cycle costs. Benefits--both quantitative and non-quantitative, including support for the organization's strategic business objectives. Risks--subjective assessments of technological and non-technological risks. Implementation requirements--time and personnel requirements to implement the system. The scheduling phase incorporates sequencing considerations, personnel availability, and budgetary constraints to produce an IT plan in which project priorities are adjusted to meet organizational realities.

High Throughput Exposure Prioritization of Chemicals Using a Screening-Level Probabilistic SHEDS-Lite Exposure Model

EPA Science Inventory

These novel modeling approaches for screening, evaluating and classifying chemicals based on the potential for biologically-relevant human exposures will inform toxicity testing and prioritization for chemical risk assessment. The new modeling approach is derived from the Stocha...

76 FR 52676 - Notice of Submission of Proposed Information Collection to OMB Continuum of Care Check-Up...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-08-23

... outlined in the McKinney-Vento ACT, as amended by HEARTH Act. Communities will self-identify and prioritize... outlined in the McKinney-Vento ACT, as amended by HEARTH Act. Communities will self-identify and prioritize...

Sensory Prioritization in Rats: Behavioral Performance and Neuronal Correlates.

PubMed

Lee, Conrad C Y; Diamond, Mathew E; Arabzadeh, Ehsan

2016-03-16

Operating with some finite quantity of processing resources, an animal would benefit from prioritizing the sensory modality expected to provide key information in a particular context. The present study investigated whether rats dedicate attentional resources to the sensory modality in which a near-threshold event is more likely to occur. We manipulated attention by controlling the likelihood with which a stimulus was presented from one of two modalities. In a whisker session, 80% of trials contained a brief vibration stimulus applied to whiskers and the remaining 20% of trials contained a brief change of luminance. These likelihoods were reversed in a visual session. When a stimulus was presented in the high-likelihood context, detection performance increased and was faster compared with the same stimulus presented in the low-likelihood context. Sensory prioritization was also reflected in neuronal activity in the vibrissal area of primary somatosensory cortex: single units responded differentially to the whisker vibration stimulus when presented with higher probability compared with lower probability. Neuronal activity in the vibrissal cortex displayed signatures of multiplicative gain control and enhanced response to vibration stimuli during the whisker session. In conclusion, rats allocate priority to the more likely stimulus modality and the primary sensory cortex may participate in the redistribution of resources. Detection of low-amplitude events is critical to survival; for example, to warn prey of predators. To formulate a response, decision-making systems must extract minute neuronal signals from the sensory modality that provides key information. Here, we identify the behavioral and neuronal correlates of sensory prioritization in rats. Rats were trained to detect whisker vibrations or visual flickers. Stimuli were embedded in two contexts in which either visual or whisker modality was more likely to occur. When a stimulus was presented in the high-likelihood context, detection was faster and more reliable. Neuronal recording from the vibrissal cortex revealed enhanced representation of vibrations in the prioritized context. These results establish the rat as an alternative model organism to primates for studying attention. Copyright © 2016 the authors 0270-6474/16/363243-11$15.00/0.

Dividing the Self: Distinct Neural Substrates of Task-Based and Automatic Self-Prioritization after Brain Damage

ERIC Educational Resources Information Center

Sui, Jie; Chechlacz, Magdalena; Humphreys, Glyn W.

2012-01-01

Facial self-awareness is a basic human ability dependent on a distributed bilateral neural network and revealed through prioritized processing of our own over other faces. Using non-prosopagnosic patients we show, for the first time, that facial self-awareness can be fractionated into different component processes. Patients performed two face…

Prioritization for Plastic Surgery Procedures Aimed to Improve Quality of Life: Moral Considerations

PubMed Central

Kolby, Lars; Elander, Anna

2017-01-01

Background: Different health conditions are treated in a Plastic Surgery unit, including those cases whose main goal is to enable patients to feel and integrate better within society and therefore improving quality of life, rather then physical functions. Methods: We discuss moral principles that can be used as a guide for health professionals to revise and create policies for plastic surgery patients presenting with non–life-threatening conditions. Results: A specific anatomical feature is not always an indicator of patient’s well-being and quality of life, and therefore it cannot be used as the sole parameter to identify the worst-off and prioritize the provision of health care. A policy should identify who preoperatively are the worst-off and come to some plausible measure of how much they can be expected to benefit from an operation. Policies that do not track these principles in any reliable way can cause discrimination. Conclusions: A patient-centered operating system and patient’s informed preferences might be implemented in the process of prioritizing health. In circumstances when the effectiveness of a specific treatment is unproven, professionals should not make assumptions based on their own values. PMID:28894658

A Decision Analytic Approach to Exposure-Based Chemical Prioritization

PubMed Central

Mitchell, Jade; Pabon, Nicolas; Collier, Zachary A.; Egeghy, Peter P.; Cohen-Hubal, Elaine; Linkov, Igor; Vallero, Daniel A.

2013-01-01

The manufacture of novel synthetic chemicals has increased in volume and variety, but often the environmental and health risks are not fully understood in terms of toxicity and, in particular, exposure. While efforts to assess risks have generally been effective when sufficient data are available, the hazard and exposure data necessary to assess risks adequately are unavailable for the vast majority of chemicals in commerce. The US Environmental Protection Agency has initiated the ExpoCast Program to develop tools for rapid chemical evaluation based on potential for exposure. In this context, a model is presented in which chemicals are evaluated based on inherent chemical properties and behaviorally-based usage characteristics over the chemical’s life cycle. These criteria are assessed and integrated within a decision analytic framework, facilitating rapid assessment and prioritization for future targeted testing and systems modeling. A case study outlines the prioritization process using 51 chemicals. The results show a preliminary relative ranking of chemicals based on exposure potential. The strength of this approach is the ability to integrate relevant statistical and mechanistic data with expert judgment, allowing for an initial tier assessment that can further inform targeted testing and risk management strategies. PMID:23940664

Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network.

PubMed

Ho, Cheng-I; Lin, Min-Der; Lo, Shang-Lien

2010-07-01

A methodology based on the integration of a seismic-based artificial neural network (ANN) model and a geographic information system (GIS) to assess water leakage and to prioritize pipeline replacement is developed in this work. Qualified pipeline break-event data derived from the Taiwan Water Corporation Pipeline Leakage Repair Management System were analyzed. "Pipe diameter," "pipe material," and "the number of magnitude-3( + ) earthquakes" were employed as the input factors of ANN, while "the number of monthly breaks" was used for the prediction output. This study is the first attempt to manipulate earthquake data in the break-event ANN prediction model. Spatial distribution of the pipeline break-event data was analyzed and visualized by GIS. Through this, the users can swiftly figure out the hotspots of the leakage areas. A northeastern township in Taiwan, frequently affected by earthquakes, is chosen as the case study. Compared to the traditional processes for determining the priorities of pipeline replacement, the methodology developed is more effective and efficient. Likewise, the methodology can overcome the difficulty of prioritizing pipeline replacement even in situations where the break-event records are unavailable.

Norepinephrine ignites local hotspots of neuronal excitation: How arousal amplifies selectivity in perception and memory.

PubMed

Mather, Mara; Clewett, David; Sakaki, Michiko; Harley, Carolyn W

2016-01-01

Emotional arousal enhances perception and memory of high-priority information but impairs processing of other information. Here, we propose that, under arousal, local glutamate levels signal the current strength of a representation and interact with norepinephrine (NE) to enhance high priority representations and out-compete or suppress lower priority representations. In our "glutamate amplifies noradrenergic effects" (GANE) model, high glutamate at the site of prioritized representations increases local NE release from the locus coeruleus (LC) to generate "NE hotspots." At these NE hotspots, local glutamate and NE release are mutually enhancing and amplify activation of prioritized representations. In contrast, arousal-induced LC activity inhibits less active representations via two mechanisms: 1) Where there are hotspots, lateral inhibition is amplified; 2) Where no hotspots emerge, NE levels are only high enough to activate low-threshold inhibitory adrenoreceptors. Thus, LC activation promotes a few hotspots of excitation in the context of widespread suppression, enhancing high priority representations while suppressing the rest. Hotspots also help synchronize oscillations across neural ensembles transmitting high-priority information. Furthermore, brain structures that detect stimulus priority interact with phasic NE release to preferentially route such information through large-scale functional brain networks. A surge of NE before, during, or after encoding enhances synaptic plasticity at NE hotspots, triggering local protein synthesis processes that enhance selective memory consolidation. Together, these noradrenergic mechanisms promote selective attention and memory under arousal. GANE not only reconciles apparently contradictory findings in the emotion-cognition literature but also extends previous influential theories of LC neuromodulation by proposing specific mechanisms for how LC-NE activity increases neural gain.

Stakeholder Priorities for Comparative Effectiveness Research in Chronic Obstructive Pulmonary Disease

PubMed Central

Lindenauer, Peter K.; Au, David H.; Carson, Shannon S.; Lee, Todd A.; McBurnie, Mary Ann; Naureckas, Edward T.; Vollmer, William M.; Mularski, Richard A.

2013-01-01

Comparative effectiveness research (CER) is intended to address the expressed needs of patients, clinicians, and other stakeholders. Representatives of 54 stakeholder groups with an interest in chronic obstructive pulmonary disease (COPD) participated in workshops convened by the COPD Outcomes-based Network for Clinical Effectiveness and Research Translation (CONCERT) over a 2-year period. Year 1 focused on chronic care and care coordination. Year 2 focused on acute care and transitions in care between healthcare settings. Discussions and provisional voting were conducted via teleconferences and e-mail exchanges before the workshop. Final prioritization votes occurred after in-person discussions at the workshop. We used a modified Delphi approach to facilitate discussions and consensus building. To more easily quantify preferences and to evaluate the internal consistency of rankings, the Analytic Hierarchy Process was incorporated in Year 2. Results of preworkshop and final workshop voting often differed, suggesting that prioritization efforts relying solely on requests for topics from stakeholder groups without in-person discussion may provide different research priorities. Research priorities varied across stakeholder groups, but generally focused on studies to evaluate different approaches to healthcare delivery (e.g., spirometry for diagnosis and treatment, integrated healthcare strategies during transitions in care) rather than head-to-head comparisons of medications. This research agenda may help to inform groups intending to respond to CER funding opportunities in COPD. The methodologies used, detailed in the online supplement, may also help to inform prioritization efforts for CER in other health conditions. PMID:23155144

Stakeholder priorities for comparative effectiveness research in chronic obstructive pulmonary disease: a workshop report.

PubMed

Krishnan, Jerry A; Lindenauer, Peter K; Au, David H; Carson, Shannon S; Lee, Todd A; McBurnie, Mary Ann; Naureckas, Edward T; Vollmer, William M; Mularski, Richard A

2013-02-01

Comparative effectiveness research (CER) is intended to address the expressed needs of patients, clinicians, and other stakeholders. Representatives of 54 stakeholder groups with an interest in chronic obstructive pulmonary disease (COPD) participated in workshops convened by the COPD Outcomes-based Network for Clinical Effectiveness and Research Translation (CONCERT) over a 2-year period. Year 1 focused on chronic care and care coordination. Year 2 focused on acute care and transitions in care between healthcare settings. Discussions and provisional voting were conducted via teleconferences and e-mail exchanges before the workshop. Final prioritization votes occurred after in-person discussions at the workshop. We used a modified Delphi approach to facilitate discussions and consensus building. To more easily quantify preferences and to evaluate the internal consistency of rankings, the Analytic Hierarchy Process was incorporated in Year 2. Results of preworkshop and final workshop voting often differed, suggesting that prioritization efforts relying solely on requests for topics from stakeholder groups without in-person discussion may provide different research priorities. Research priorities varied across stakeholder groups, but generally focused on studies to evaluate different approaches to healthcare delivery (e.g., spirometry for diagnosis and treatment, integrated healthcare strategies during transitions in care) rather than head-to-head comparisons of medications. This research agenda may help to inform groups intending to respond to CER funding opportunities in COPD. The methodologies used, detailed in the online supplement, may also help to inform prioritization efforts for CER in other health conditions.

How attention gates social interactions.

PubMed

Capozzi, Francesca; Ristic, Jelena

2018-05-25

Social interactions are at the core of social life. However, humans selectively choose their exchange partners and do not engage in all available opportunities for social encounters. In this review, we argue that attentional systems play an important role in guiding the selection of social interactions. Supported by both classic and emerging literature, we identify and characterize the three core processes-perception, interpretation, and evaluation-that interact with attentional systems to modulate selective responses to social environments. Perceptual processes facilitate attentional prioritization of social cues. Interpretative processes link attention with understanding of cues' social meanings and agents' mental states. Evaluative processes determine the perceived value of the source of social information. The interplay between attention and these three routes of processing places attention in a powerful role to manage the selection of the vast amount of social information that individuals encounter on a daily basis and, in turn, gate the selection of social interactions. © 2018 New York Academy of Sciences.

Intelligent alarming

NASA Technical Reports Server (NTRS)

Braden, W. B.

1992-01-01

This talk discusses the importance of providing a process operator with concise information about a process fault including a root cause diagnosis of the problem, a suggested best action for correcting the fault, and prioritization of the problem set. A decision tree approach is used to illustrate one type of approach for determining the root cause of a problem. Fault detection in several different types of scenarios is addressed, including pump malfunctions and pipeline leaks. The talk stresses the need for a good data rectification strategy and good process models along with a method for presenting the findings to the process operator in a focused and understandable way. A real time expert system is discussed as an effective tool to help provide operators with this type of information. The use of expert systems in the analysis of actual versus predicted results from neural networks and other types of process models is discussed.

The effects of visual search efficiency on object-based attention

PubMed Central

Rosen, Maya; Cutrone, Elizabeth; Behrmann, Marlene

2017-01-01

The attentional prioritization hypothesis of object-based attention (Shomstein & Yantis in Perception & Psychophysics, 64, 41–51, 2002) suggests a two-stage selection process comprising an automatic spatial gradient and flexible strategic (prioritization) selection. The combined attentional priorities of these two stages of object-based selection determine the order in which participants will search the display for the presence of a target. The strategic process has often been likened to a prioritized visual search. By modifying the double-rectangle cueing paradigm (Egly, Driver, & Rafal in Journal of Experimental Psychology: General, 123, 161–177, 1994) and placing it in the context of a larger-scale visual search, we examined how the prioritization search is affected by search efficiency. By probing both targets located on the cued object and targets external to the cued object, we found that the attentional priority surrounding a selected object is strongly modulated by search mode. However, the ordering of the prioritization search is unaffected by search mode. The data also provide evidence that standard spatial visual search and object-based prioritization search may rely on distinct mechanisms. These results provide insight into the interactions between the mode of visual search and object-based selection, and help define the modulatory consequences of search efficiency for object-based attention. PMID:25832192

Bioactive Natural Products Prioritization Using Massive Multi-informational Molecular Networks.

PubMed

Olivon, Florent; Allard, Pierre-Marie; Koval, Alexey; Righi, Davide; Genta-Jouve, Gregory; Neyts, Johan; Apel, Cécile; Pannecouque, Christophe; Nothias, Louis-Félix; Cachet, Xavier; Marcourt, Laurence; Roussi, Fanny; Katanaev, Vladimir L; Touboul, David; Wolfender, Jean-Luc; Litaudon, Marc

2017-10-20

Natural products represent an inexhaustible source of novel therapeutic agents. Their complex and constrained three-dimensional structures endow these molecules with exceptional biological properties, thereby giving them a major role in drug discovery programs. However, the search for new bioactive metabolites is hampered by the chemical complexity of the biological matrices in which they are found. The purification of single constituents from such matrices requires such a significant amount of work that it should be ideally performed only on molecules of high potential value (i.e., chemical novelty and biological activity). Recent bioinformatics approaches based on mass spectrometry metabolite profiling methods are beginning to address the complex task of compound identification within complex mixtures. However, in parallel to these developments, methods providing information on the bioactivity potential of natural products prior to their isolation are still lacking and are of key interest to target the isolation of valuable natural products only. In the present investigation, we propose an integrated analysis strategy for bioactive natural products prioritization. Our approach uses massive molecular networks embedding various informational layers (bioactivity and taxonomical data) to highlight potentially bioactive scaffolds within the chemical diversity of crude extracts collections. We exemplify this workflow by targeting the isolation of predicted active and nonactive metabolites from two botanical sources (Bocquillonia nervosa and Neoguillauminia cleopatra) against two biological targets (Wnt signaling pathway and chikungunya virus replication). Eventually, the detection and isolation processes of a daphnane diterpene orthoester and four 12-deoxyphorbols inhibiting the Wnt signaling pathway and exhibiting potent antiviral activities against the CHIKV virus are detailed. Combined with efficient metabolite annotation tools, this bioactive natural products prioritization pipeline proves to be efficient. Implementation of this approach in drug discovery programs based on natural extract screening should speed up and rationalize the isolation of bioactive natural products.

Consumer Product Data for Exposure Screening, Modeling and Prioritization, and Risk-based Decision Making

EPA Science Inventory

This presentation will provide an overview of the research efforts underway in EPA ORD's Chemicals for Safety and Sustainability research program which relate to providing information to prioritize chemicals in consumer products based on risk. It also describes effort to make dat...

Using County-Level Public Health Data to Prioritize Medical Education Topics

ERIC Educational Resources Information Center

Sumner, Walton, II; Schootman, Mario; Asaro, Philip; Yan, Yan; Hagen, Michael D.

2008-01-01

Introduction: Medical education topics might be locally prioritized using public health data on health outcomes and risk factors unrelated to quality of care. Methods: The Missouri Information for Community Assessment (MICA) supplied preventable hospitalization rates (PHRs) for asthma, chronic obstructive pulmonary disease (COPD), diabetes, heart…

ToxPi GUI: An interactive visualization tool for transparent integration of data from diverse sources of evidence

EPA Science Inventory

Motivation: Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evi...

Integrated approach for prioritizing watersheds for management: a study of lidder catchment of kashmir himalayas.

PubMed

Malik, Mohammad Imran; Bhat, M Sultan

2014-12-01

The Himalayan watersheds are susceptible to various forms of degradation due to their sensitive and fragile ecological disposition coupled with increasing anthropogenic disturbances. Owing to the paucity of appropriate technology and financial resources, the prioritization of watersheds has become an inevitable process for effective planning and management of natural resources. Lidder catchment constitutes a segment of the western Himalayas with an area of 1,159.38 km(2). The study is based on integrated analysis of remote sensing, geographic information system, field study, and socioeconomic data. Multicriteria evaluation of geophysical, land-use and land-cover (LULC) change, and socioeconomic indicators is carried out to prioritize watersheds for natural resource conservation and management. Knowledge-based weights and ranks are normalized, and weighted linear combination technique is adopted to determine final priority value. The watersheds are classified into four priority zones (very high priority, high priority, medium priority, and low priority) on the basis of quartiles of the priority value, thus indicating their ecological status in terms of degradation caused by anthropogenic disturbances. The correlation between priority ranks of individual indicators and integrated indicators is drawn. The results reveal that socioeconomic indicators are the most important drivers of LULC change and environmental degradation in the catchment. Moreover, the magnitude and intensity of anthropogenic impact is not uniform in different watersheds of Lidder catchment. Therefore, any conservation and management strategy must be formulated on the basis of watershed prioritization.

Prioritizing investments in health technology assessment. Can we assess potential value for money?

PubMed

Davies, L; Drummond, M; Papanikolaou, P

2000-01-01

The objective was to develop an economic prioritization model to assist those involved in the selection and prioritization of health technology assessment topics and commissioning of HTA projects. The model used decision analytic techniques to estimate the expected costs and benefits of the health care interventions that were the focus of the HTA question(s) considered by the NHS Health Technology Assessment Programme in England. Initial estimation of the value for money of HTA was conducted for several topics considered in 1997 and 1998. The results indicate that, using information routinely available in the literature and from the vignettes, it was not possible to estimate the absolute value of HTA with any certainty for this stage of the prioritization process. Overall, the results were uncertain for 65% of the HTA questions or topics analyzed. The relative costs of the interventions or technologies compared to existing costs of care and likely levels of utilization were critical factors in most of the analyses. The probability that the technology was effective with the HTA and the impact of the HTA on utilization rates were also key determinants of expected costs and benefits. The main conclusion was that it is feasible to conduct ex ante assessments of the value for money of HTA for specific topics. However, substantial work is required to ensure that the methods used are valid, reliable, consistent, and an efficient use of valuable research time.

Integrated Approach for Prioritizing Watersheds for Management: A Study of Lidder Catchment of Kashmir Himalayas

NASA Astrophysics Data System (ADS)

Malik, Mohammad Imran; Bhat, M. Sultan

2014-12-01

The Himalayan watersheds are susceptible to various forms of degradation due to their sensitive and fragile ecological disposition coupled with increasing anthropogenic disturbances. Owing to the paucity of appropriate technology and financial resources, the prioritization of watersheds has become an inevitable process for effective planning and management of natural resources. Lidder catchment constitutes a segment of the western Himalayas with an area of 1,159.38 km2. The study is based on integrated analysis of remote sensing, geographic information system, field study, and socioeconomic data. Multicriteria evaluation of geophysical, land-use and land-cover (LULC) change, and socioeconomic indicators is carried out to prioritize watersheds for natural resource conservation and management. Knowledge-based weights and ranks are normalized, and weighted linear combination technique is adopted to determine final priority value. The watersheds are classified into four priority zones (very high priority, high priority, medium priority, and low priority) on the basis of quartiles of the priority value, thus indicating their ecological status in terms of degradation caused by anthropogenic disturbances. The correlation between priority ranks of individual indicators and integrated indicators is drawn. The results reveal that socioeconomic indicators are the most important drivers of LULC change and environmental degradation in the catchment. Moreover, the magnitude and intensity of anthropogenic impact is not uniform in different watersheds of Lidder catchment. Therefore, any conservation and management strategy must be formulated on the basis of watershed prioritization.

C4I Community of Interest C2 Roadmap

DTIC Science & Technology

2015-03-24

QoS -based services – Digital policy-based prioritization – Dynamic bandwidth allocation – Automated network management April 15 Slide 9...Co-Site Mitigation) NC-3 • LPD/LPI Comms NC-4 • Increased Range NC-7 • Increased Loss Tolerance & Recovery NC-7 • Mobile Ad Hoc Networking NC-8...Algorithms and Software • Systems and Processes Networks and Communications • Radios and Apertures • Networks • Information April 15 Slide 8

Tackling Complex Emergency Response Solutions Evaluation Problems in Sustainable Development by Fuzzy Group Decision Making Approaches with Considering Decision Hesitancy and Prioritization among Assessing Criteria.

PubMed

Qi, Xiao-Wen; Zhang, Jun-Ling; Zhao, Shu-Ping; Liang, Chang-Yong

2017-10-02

In order to be prepared against potential balance-breaking risks affecting economic development, more and more countries have recognized emergency response solutions evaluation (ERSE) as an indispensable activity in their governance of sustainable development. Traditional multiple criteria group decision making (MCGDM) approaches to ERSE have been facing simultaneous challenging characteristics of decision hesitancy and prioritization relations among assessing criteria, due to the complexity in practical ERSE problems. Therefore, aiming at the special type of ERSE problems that hold the two characteristics, we investigate effective MCGDM approaches by hiring interval-valued dual hesitant fuzzy set (IVDHFS) to comprehensively depict decision hesitancy. To exploit decision information embedded in prioritization relations among criteria, we firstly define an fuzzy entropy measure for IVDHFS so that its derivative decision models can avoid potential information distortion in models based on classic IVDHFS distance measures with subjective supplementing mechanism; further, based on defined entropy measure, we develop two fundamental prioritized operators for IVDHFS by extending Yager's prioritized operators. Furthermore, on the strength of above methods, we construct two hesitant fuzzy MCGDM approaches to tackle complex scenarios with or without known weights for decision makers, respectively. Finally, case studies have been conducted to show effectiveness and practicality of our proposed approaches.

Tackling Complex Emergency Response Solutions Evaluation Problems in Sustainable Development by Fuzzy Group Decision Making Approaches with Considering Decision Hesitancy and Prioritization among Assessing Criteria

PubMed Central

Qi, Xiao-Wen; Zhang, Jun-Ling; Zhao, Shu-Ping; Liang, Chang-Yong

2017-01-01

In order to be prepared against potential balance-breaking risks affecting economic development, more and more countries have recognized emergency response solutions evaluation (ERSE) as an indispensable activity in their governance of sustainable development. Traditional multiple criteria group decision making (MCGDM) approaches to ERSE have been facing simultaneous challenging characteristics of decision hesitancy and prioritization relations among assessing criteria, due to the complexity in practical ERSE problems. Therefore, aiming at the special type of ERSE problems that hold the two characteristics, we investigate effective MCGDM approaches by hiring interval-valued dual hesitant fuzzy set (IVDHFS) to comprehensively depict decision hesitancy. To exploit decision information embedded in prioritization relations among criteria, we firstly define an fuzzy entropy measure for IVDHFS so that its derivative decision models can avoid potential information distortion in models based on classic IVDHFS distance measures with subjective supplementing mechanism; further, based on defined entropy measure, we develop two fundamental prioritized operators for IVDHFS by extending Yager’s prioritized operators. Furthermore, on the strength of above methods, we construct two hesitant fuzzy MCGDM approaches to tackle complex scenarios with or without known weights for decision makers, respectively. Finally, case studies have been conducted to show effectiveness and practicality of our proposed approaches. PMID:28974045

Why prioritize when there isn't enough money?

PubMed

Wikler, Daniel

2003-02-26

In an informal address to the 4th International Conference on Priorities in Health (Oslo, 23 September 2002), Professor Jeffrey Sachs - Chairperson of the WHO Commission on Macroeconomics and Health - maintained that the real causes of the inability of the world's poorest people to receive help for the lethal diseases that burden them did not include the "usual suspects" (corruption, mismanagement, and wrong priorities). Rather, the root cause was argued to be an inherent lack of money, indicating that the burden of disease would be lifted only if rich countries gave more money to poor ones.Without taking exception to anything that Sachs said in his address, there nevertheless remain a number of justifications for efforts to improve priority setting in the face of severely shortages of resources, including the following three defenses: prioritization is needed if we are to know that prioritization is insufficient; prioritization is most important when there is little money; prioritization can itself increase resources.

High value of ecological information for river connectivity restoration

USGS Publications Warehouse

Sethi, Suresh; O'Hanley, Jesse R.; Gerken, Jonathon; Ashline, Joshua; Bradley, Catherine

2017-01-01

ContextEfficient restoration of longitudinal river connectivity relies on barrier mitigation prioritization tools that incorporate stream network spatial structure to maximize ecological benefits given limited resources. Typically, ecological benefits of barrier mitigation are measured using proxies such as the amount of accessible riverine habitat.ObjectivesWe developed an optimization approach for barrier mitigation planning which directly incorporates the ecology of managed taxa, and applied it to an urbanizing salmon-bearing watershed in Alaska.MethodsA novel river connectivity metric that exploits information on the distribution and movement of managed taxon was embedded into a barrier prioritization framework to identify optimal mitigation actions given limited restoration budgets. The value of ecological information on managed taxa was estimated by comparing costs to achieve restoration targets across alternative barrier prioritization approaches.ResultsBarrier mitigation solutions informed by life history information outperformed those using only river connectivity proxies, demonstrating high value of ecological information for watershed restoration. In our study area, information on salmon ecology was typically valued at 0.8–1.2 M USD in costs savings to achieve a given benefit level relative to solutions derived only from stream network information, equating to 16–28% of the restoration budget.ConclusionsInvesting in ecological studies may achieve win–win outcomes of improved understanding of aquatic ecology and greater watershed restoration efficiency.

Norepinephrine ignites local hot spots of neuronal excitation: How arousal amplifies selectivity in perception and memory

PubMed Central

Mather, Mara; Clewett, David; Sakaki, Michiko; Harley, Carolyn W.

2018-01-01

Long Abstract Existing brain-based emotion-cognition theories fail to explain arousal’s ability to both enhance and impair cognitive processing. In the Glutamate Amplifies Noradrenergic Effects (GANE) model outlined in this paper, we propose that arousal-induced norepinephrine (NE) released from the locus coeruleus (LC) biases perception and memory in favor of salient, high priority representations at the expense of lower priority representations. This increase in gain under phasic arousal occurs via synaptic self-regulation of NE based on glutamate levels. When the LC is phasically active, elevated levels of glutamate at the site of prioritized representations increase local NE release, creating “NE hot spots.” At these local hot spots, glutamate and NE release are mutually enhancing and amplify activation of prioritized representations. This excitatory effect contrasts with widespread NE suppression of weaker representations via lateral and auto-inhibitory processes. On a broader scale, hot spots increase oscillatory synchronization across neural ensembles transmitting high priority information. Furthermore, key brain structures that detect or pre-determine stimulus priority interact with phasic NE release to preferentially route such information through large-scale functional brain networks. A surge of NE before, during or after encoding enhances synaptic plasticity at sites of high glutamate activity, triggering local protein synthesis processes that enhance selective memory consolidation. Together, these noradrenergic mechanisms increase perceptual and memory selectivity under arousal. Beyond explaining discrepancies in the emotion-cognition literature, GANE reconciles and extends previous influential theories of LC neuromodulation by highlighting how NE can produce such different outcomes in processing based on priority. PMID:26126507

Multi-Stakeholder Informed Guidelines for Direct Admission of Children to Hospital.

PubMed

Leyenaar, JoAnna K; Shevenell, Megan; Rizzo, Paul A; Hill, Vanessa L; Lindenauer, Peter K

2018-04-25

To develop pediatric direct admission guidelines and prioritize outcomes to evaluate the safety and effectiveness of hospital admission processes. We conducted deliberative discussions at 1 children's hospital and 2 community hospitals, engaging parents of hospitalized children and inpatient, outpatient, and emergency department physicians and nurses to identify shared and dissenting perspectives regarding direct admission processes and outcomes. Discussions were audio-recorded, professionally transcribed, and analyzed using a general inductive approach. We then convened a national panel to prioritize guideline components and outcome measures using a RAND/UCLA Modified Delphi approach. Forty-eight stakeholders participated in 6 deliberative discussions. Emergent themes related to effective multistakeholder communication, resources needed for high quality direct admissions, written direct admission guidelines, including criteria to identify children appropriate for and inappropriate for direct admission, and families' needs. Building on these themes, Delphi panelists endorsed 71 guideline components as both appropriate and necessary at children's hospitals and community hospitals and 13 outcomes to evaluate hospital admission systems. Guideline components include (1) pre-admission communication, (2) written guidelines, (3) hospital resources to optimize direct admission processes, (4) special considerations for pediatric populations that may be at particular risk of nosocomial infection and/or stress in emergency departments, (5) communication with families referred for direct admission, and (6) quality reviews to evaluate admission systems. These direct admission guidelines can be adapted by hospitals and health systems to inform hospital admission policies and protocols. Multistakeholder engagement in evaluation of hospital admission processes may improve transitions of care and health system integration. Copyright © 2018 Elsevier Inc. All rights reserved.

A public resource facilitating clinical use of genomes

PubMed Central

Ball, Madeleine P.; Thakuria, Joseph V.; Zaranek, Alexander Wait; Clegg, Tom; Rosenbaum, Abraham M.; Wu, Xiaodi; Angrist, Misha; Bhak, Jong; Bobe, Jason; Callow, Matthew J.; Cano, Carlos; Chou, Michael F.; Chung, Wendy K.; Douglas, Shawn M.; Estep, Preston W.; Gore, Athurva; Hulick, Peter; Labarga, Alberto; Lee, Je-Hyuk; Lunshof, Jeantine E.; Kim, Byung Chul; Kim, Jong-Il; Li, Zhe; Murray, Michael F.; Nilsen, Geoffrey B.; Peters, Brock A.; Raman, Anugraha M.; Rienhoff, Hugh Y.; Robasky, Kimberly; Wheeler, Matthew T.; Vandewege, Ward; Vorhaus, Daniel B.; Yang, Joyce L.; Yang, Luhan; Aach, John; Ashley, Euan A.; Drmanac, Radoje; Kim, Seong-Jin; Li, Jin Billy; Peshkin, Leonid; Seidman, Christine E.; Seo, Jeong-Sun; Zhang, Kun; Rehm, Heidi L.; Church, George M.

2012-01-01

Rapid advances in DNA sequencing promise to enable new diagnostics and individualized therapies. Achieving personalized medicine, however, will require extensive research on highly reidentifiable, integrated datasets of genomic and health information. To assist with this, participants in the Personal Genome Project choose to forgo privacy via our institutional review board- approved “open consent” process. The contribution of public data and samples facilitates both scientific discovery and standardization of methods. We present our findings after enrollment of more than 1,800 participants, including whole-genome sequencing of 10 pilot participant genomes (the PGP-10). We introduce the Genome-Environment-Trait Evidence (GET-Evidence) system. This tool automatically processes genomes and prioritizes both published and novel variants for interpretation. In the process of reviewing the presumed healthy PGP-10 genomes, we find numerous literature references implying serious disease. Although it is sometimes impossible to rule out a late-onset effect, stringent evidence requirements can address the high rate of incidental findings. To that end we develop a peer production system for recording and organizing variant evaluations according to standard evidence guidelines, creating a public forum for reaching consensus on interpretation of clinically relevant variants. Genome analysis becomes a two-step process: using a prioritized list to record variant evaluations, then automatically sorting reviewed variants using these annotations. Genome data, health and trait information, participant samples, and variant interpretations are all shared in the public domain—we invite others to review our results using our participant samples and contribute to our interpretations. We offer our public resource and methods to further personalized medical research. PMID:22797899

On the role of working memory in spatial contextual cueing.

PubMed

Travis, Susan L; Mattingley, Jason B; Dux, Paul E

2013-01-01

The human visual system receives more information than can be consciously processed. To overcome this capacity limit, we employ attentional mechanisms to prioritize task-relevant (target) information over less relevant (distractor) information. Regularities in the environment can facilitate the allocation of attention, as demonstrated by the spatial contextual cueing paradigm. When observers are exposed repeatedly to a scene and invariant distractor information, learning from earlier exposures enhances the search for the target. Here, we investigated whether spatial contextual cueing draws on spatial working memory resources and, if so, at what level of processing working memory load has its effect. Participants performed 2 tasks concurrently: a visual search task, in which the spatial configuration of some search arrays occasionally repeated, and a spatial working memory task. Increases in working memory load significantly impaired contextual learning. These findings indicate that spatial contextual cueing utilizes working memory resources.

Weight and See: Loading Working Memory Improves Incidental Identification of Irrelevant Faces

PubMed Central

Carmel, David; Fairnie, Jake; Lavie, Nilli

2012-01-01

Are task-irrelevant stimuli processed to a level enabling individual identification? This question is central both for perceptual processing models and for applied settings (e.g., eye-witness testimony). Lavie’s load theory proposes that working memory actively maintains attentional prioritization of relevant over irrelevant information. Loading working memory thus impairs attentional prioritization, leading to increased processing of task-irrelevant stimuli. Previous research has shown that increased working memory load leads to greater interference effects from response-competing distractors. Here we test the novel prediction that increased processing of irrelevant stimuli under high working memory load should lead to a greater likelihood of incidental identification of entirely irrelevant stimuli. To test this, we asked participants to perform a word-categorization task while ignoring task-irrelevant images. The categorization task was performed during the retention interval of a working memory task with either low or high load (defined by memory set size). Following the final experimental trial, a surprise question assessed incidental identification of the irrelevant image. Loading working memory was found to improve identification of task-irrelevant faces, but not of building stimuli (shown in a separate experiment to be less distracting). These findings suggest that working memory plays a critical role in determining whether distracting stimuli will be subsequently identified. PMID:22912623

Selecting Health Care Improvement Projects: A Methodology Integrating Cause-and-Effect Diagram and Analytical Hierarchy Process.

PubMed

Testik, Özlem Müge; Shaygan, Amir; Dasdemir, Erdi; Soydan, Guray

It is often vital to identify, prioritize, and select quality improvement projects in a hospital. Yet, a methodology, which utilizes experts' opinions with different points of view, is needed for better decision making. The proposed methodology utilizes the cause-and-effect diagram to identify improvement projects and construct a project hierarchy for a problem. The right improvement projects are then prioritized and selected using a weighting scheme of analytical hierarchy process by aggregating experts' opinions. An approach for collecting data from experts and a graphical display for summarizing the obtained information are also provided. The methodology is implemented for improving a hospital appointment system. The top-ranked 2 major project categories for improvements were identified to be system- and accessibility-related causes (45%) and capacity-related causes (28%), respectively. For each of the major project category, subprojects were then ranked for selecting the improvement needs. The methodology is useful in cases where an aggregate decision based on experts' opinions is expected. Some suggestions for practical implementations are provided.

Pilot mental workload: how well do pilots really perform?

PubMed

Morris, Charles H; Leung, Ying K

2006-12-15

The purpose of this study was to investigate the effects of increasing mental demands on various aspects of aircrew performance. In particular, the robustness of the prioritization and allocation hierarchy of aviate-navigate-communicate was examined, a hierarchy commonly used within the aviation industry. A total of 42 trainee pilots were divided into three workload groups (low, medium, high) to complete a desktop, computer-based exercise that simulated combinations of generic flight deck activities: flight control manipulation, rule-based actions and higher level cognitive processing, in addition to Air Traffic Control instructions that varied in length from one chunk of auditory information to seven chunks. It was found that as mental workload and auditory input increased, participants experienced considerable difficulty in carrying out the primary manipulation task. A similar decline in prioritization was also observed. Moreover, when pilots were under a high mental workload their ability to comprehend more than two chunks of auditory data deteriorated rapidly.

Prioritizing Information for Quality Improvement Using Resident Assessment Instrument Data: Experiences in One Canadian Province

PubMed Central

Sales, Anne; O'Rourke, Hannah M.; Draper, Kellie; Teare, Gary F.; Maxwell, Colleen

2011-01-01

Purpose: To elicit priority rankings of indicators of quality of care among providers and decision-makers in continuing care in Alberta, Canada. Methods: We used modified nominal group technique to elicit priorities and criteria for prioritization among the quality indicators and resident/client assessment protocols developed by the interRAI consortium for use in long-term care and home care. Results: The top-ranked items from the long-term care assessment data were pressure ulcers, pain and incontinence. The top-ranked items from the home care data were pain, falls and proportion of clients at high risk for residential placement. Participants considered a variety of issues in deciding how to rank the indicators. Implications: This work reflects the beginning of a process to better understand how providers and policy makers can work together to assess priorities for quality improvement within continuing care. PMID:22294992

Multiscale analysis of restoration priorities for marine shoreline planning.

PubMed

Diefenderfer, Heida L; Sobocinski, Kathryn L; Thom, Ronald M; May, Christopher W; Borde, Amy B; Southard, Susan L; Vavrinec, John; Sather, Nichole K

2009-10-01

Planners are being called on to prioritize marine shorelines for conservation status and restoration action. This study documents an approach to determining the management strategy most likely to succeed based on current conditions at local and landscape scales. The conceptual framework based in restoration ecology pairs appropriate restoration strategies with sites based on the likelihood of producing long-term resilience given the condition of ecosystem structures and processes at three scales: the shorezone unit (site), the drift cell reach (nearshore marine landscape), and the watershed (terrestrial landscape). The analysis is structured by a conceptual ecosystem model that identifies anthropogenic impacts on targeted ecosystem functions. A scoring system, weighted by geomorphic class, is applied to available spatial data for indicators of stress and function using geographic information systems. This planning tool augments other approaches to prioritizing restoration, including historical conditions and change analysis and ecosystem valuation.

An applied study using systems engineering methods to prioritize green systems options

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

Lee, Sonya M; Macdonald, John M

2009-01-01

For many years, there have been questions about the effectiveness of applying different green solutions. If you're building a home and wish to use green technologies, where do you start? While all technologies sound promising, which will perform the best over time? All this has to be considered within the cost and schedule of the project. The amount of information available on the topic can be overwhelming. We seek to examine if Systems Engineering methods can be used to help people choose and prioritize technologies that fit within their project and budget. Several methods are used to gain perspective intomore » how to select the green technologies, such as the Analytic Hierarchy Process (AHP) and Kepner-Tregoe. In our study, subjects applied these methods to analyze cost, schedule, and trade-offs. Results will document whether the experimental approach is applicable to defining system priorities for green technologies.« less

Navigating complex patients using an innovative tool: the MTM Spider Web.

PubMed

Morello, Candis M; Hirsch, Jan D; Lee, Kelly C

2013-01-01

To introduce a teaching tool that can be used to assess the complexity of medication therapy management (MTM) patients, prioritize appropriate interventions, and design patient-centered care plans for each encounter. MTM patients are complex as a result of multiple comorbidities, medications, and socioeconomic and behavioral issues. Pharmacists who provide MTM services are required to synthesize a plethora of information (medical and nonmedical), evaluate and prioritize the clinical problems, and design a comprehensive patient-centered care plan. The MTM Spider Web is a visual tool to facilitate this process. A description is provided regarding how to build the MTM Spider Web using case-based scenarios. This model can be used to teach pharmacists, health professional students, and patients. The MTM Spider Web is an innovative teaching tool that can be used to teach pharmacists and students how to assess complex patients and design a patient-centered care plan to deliver the most appropriate medication therapy.

Case management information systems: how to put the pieces together now and beyond year 2000.

PubMed

Matthews, P

1999-01-01

Healthcare organizations must establish the goals and objectives of their case management processes before functional and system requirements can be defined. A gap analysis will identify existing systems that can be used to support case management as well as areas in need of systems support. The gap analysis will also identify short-term tactical projects and long-term strategic initiatives supporting the automation of case management. The projects resulting from the gap analysis must be incorporated into the organization's business and information systems plan and budget to ensure appropriate funding and prioritization.

Assessment Study on Sensors and Automation in the Industries of the Future. Reports on Industrial Controls, Information Processing, Automation, and Robotics

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

Bennett, Bonnie; Boddy, Mark; Doyle, Frank

This report presents the results of an expert study to identify research opportunities for Sensors & Automation, a sub-program of the U.S. Department of Energy (DOE) Industrial Technologies Program (ITP). The research opportunities are prioritized by realizable energy savings. The study encompasses the technology areas of industrial controls, information processing, automation, and robotics. These areas have been central areas of focus of many Industries of the Future (IOF) technology roadmaps. This report identifies opportunities for energy savings as a direct result of advances in these areas and also recognizes indirect means of achieving energy savings, such as product quality improvement,more » productivity improvement, and reduction of recycle.« less

Prioritization of catchments based on soil erosion using remote sensing and GIS.

PubMed

Khadse, Gajanan K; Vijay, Ritesh; Labhasetwar, Pawan K

2015-06-01

Water and soil are the most essential natural resources for socioeconomic development and sustenance of life. A study of soil and water dynamics at a watershed level facilitates a scientific approach towards their conservation and management. Remote sensing and Geographic Information System are tools that help to plan and manage natural resources on watershed basis. Studies were conducted for the formulation of catchment area treatment plan based on watershed prioritization with soil erosion studies using remote sensing techniques, corroborated with Geographic Information System (GIS), secondary data and ground truth information. Estimation of runoff and sediment yield is necessary in prioritization of catchment for the design of soil conservation structures and for identifying the critical erosion-prone areas of a catchment for implementation of best management plan with limited resources. The Universal Soil Loss Equation, Sediment Yield Determination and silt yield index methods are used for runoff and soil loss estimation for prioritization of the catchments. On the basis of soil erosion classes, the watersheds were grouped into very high, high, moderate and low priorities. High-priority watersheds need immediate attention for soil and water conservation, whereas low-priority watershed having good vegetative cover and low silt yield index may not need immediate attention for such treatments.

Targeted and Non-Targeted Analysis of Serum Pools to Provide Chemical Exposure Data for Exposure Modeling and Chemical Prioritization

EPA Science Inventory

Biomonitoring data can help inform the development and calibration of high-throughput exposure modeling for use in prioritization and risk evaluation. A pilot project was conducted to evaluate the feasibility of using pooled banked blood samples to generate initial data on popul...

Development of human factors guidelines for advanced traveler information systems and commercial vehicle operations : definition and prioritization of research studies

DOT National Transportation Integrated Search

1997-03-01

The goal of the activities documented in this report was to produce a prioritized list of candidate studies and issues that would guide data acquisition in this project. This goal was accomplished in three steps. First, 91 issues were compiled from e...

Evaluation of the Montana Department of Transportation's research project solicitation, prioritization, and selection process

DOT National Transportation Integrated Search

2008-05-01

The Montana Department of Transportation (MDT) contracted the Bureau of Business and Economic Research at the University of Montana Missoula to conduct research to determine how other states solicit, prioritize, and select research problem statem...

An Exploratory Study on the Information Needs of Prostate Cancer Patients and Their Partners

PubMed Central

Kassianos, Angelos P.; Raats, Monique M.; Gage, Heather

2016-01-01

The aim of this study is to explore the information needs of men with prostate cancer and their partners retrospectively at various points in the treatment process. An online questionnaire was used to collect information from men with prostate cancer and their partners about information needs, and when these developed. Readers of a Prostate Care Cookbook and members of a Prostate Cancer Charity were invited to participate: 73 men with prostate cancer and 25 partners completed the questionnaire. Responses showed that participants develop their information needs close to diagnosis. Less educated men with prostate cancer and partners developed their needs closer to the time after diagnosis than those with higher education. Partners develop an interest on information related to treatment and interaction earlier than patients. Patients prioritised treatment and disease-specific information. Patients and partners differ in how their information needs develop. Medical information is prioritized by patients as opposed to practical information by partners. Health care provision can be tailored to meet the different needs of prostate cancer patients and their partners at different times in the treatment process. PMID:27403460

Enhancing the capacity of substance abuse prevention coalitions through training and technical assistance.

PubMed

Watson-Thompson, Jomella; Woods, Nikki Keene; Schober, Daniel J; Schultz, Jerry A

2013-01-01

Community capacity may be enhanced through intermediary supports that provide training and technical assistance (TA). This study used a randomized pre/posttest design to assess the impact of training and TA on coalition capacity. Seven community coalitions from the Midwest participated in the 2-year study, which included 36 hours of training, followed by monthly TA calls to support action planning implementation for prioritized processes. Collaborative processes most commonly identified as high-need areas for TA were Developing Organizational Structure, Documenting Progress, Making Outcomes Matter, and Sustaining the Work. Based on a coalition survey, the average change for processes prioritized through TA across all seven coalitions was .27 (SD = .29), while the average change for non-prioritized processes was .09 (SD = .20) (t(6) = 4.86, p = .003, d = 1.84). The findings from this study suggest that TA can increase coalition capacity for implementing collaborative processes using a participatory approach.

Updating and improving methodology for prioritizing highway project locations on the strategic intermodal system (SIS).

DOT National Transportation Integrated Search

2016-04-01

The Florida Department of Transportation (FDOT) District One developed the Congestion Management Process : (CMP) system to prioritize low-cost, near-term highway improvements on the Strategic Intermodal System (SIS). : The existing CMP system is desi...

COMPUTATIONAL TOXICOLOGY - OBJECTIVE 2: DEVELOPING APPROACHES FOR PRIORITIZING CHEMICALS FOR SUBSEQUENT SCREENING AND TESTING

EPA Science Inventory

One of the strategic objectives of the Computational Toxicology Program is to develop approaches for prioritizing chemicals for subsequent screening and testing. Approaches currently available for this process require extensive resources. Therefore, less costly and time-extensi...

Validation of educational assessments: a primer for simulation and beyond.

PubMed

Cook, David A; Hatala, Rose

2016-01-01

Simulation plays a vital role in health professions assessment. This review provides a primer on assessment validation for educators and education researchers. We focus on simulation-based assessment of health professionals, but the principles apply broadly to other assessment approaches and topics. Validation refers to the process of collecting validity evidence to evaluate the appropriateness of the interpretations, uses, and decisions based on assessment results. Contemporary frameworks view validity as a hypothesis, and validity evidence is collected to support or refute the validity hypothesis (i.e., that the proposed interpretations and decisions are defensible). In validation, the educator or researcher defines the proposed interpretations and decisions, identifies and prioritizes the most questionable assumptions in making these interpretations and decisions (the "interpretation-use argument"), empirically tests those assumptions using existing or newly-collected evidence, and then summarizes the evidence as a coherent "validity argument." A framework proposed by Messick identifies potential evidence sources: content, response process, internal structure, relationships with other variables, and consequences. Another framework proposed by Kane identifies key inferences in generating useful interpretations: scoring, generalization, extrapolation, and implications/decision. We propose an eight-step approach to validation that applies to either framework: Define the construct and proposed interpretation, make explicit the intended decision(s), define the interpretation-use argument and prioritize needed validity evidence, identify candidate instruments and/or create/adapt a new instrument, appraise existing evidence and collect new evidence as needed, keep track of practical issues, formulate the validity argument, and make a judgment: does the evidence support the intended use? Rigorous validation first prioritizes and then empirically evaluates key assumptions in the interpretation and use of assessment scores. Validation science would be improved by more explicit articulation and prioritization of the interpretation-use argument, greater use of formal validation frameworks, and more evidence informing the consequences and implications of assessment.

Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method.

PubMed

Kessili, Abdelhak; Benmamar, Saadia

2016-01-01

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.

OVA: integrating molecular and physical phenotype data from multiple biomedical domain ontologies with variant filtering for enhanced variant prioritization.

PubMed

Antanaviciute, Agne; Watson, Christopher M; Harrison, Sally M; Lascelles, Carolina; Crinnion, Laura; Markham, Alexander F; Bonthron, David T; Carr, Ian M

2015-12-01

Exome sequencing has become a de facto standard method for Mendelian disease gene discovery in recent years, yet identifying disease-causing mutations among thousands of candidate variants remains a non-trivial task. Here we describe a new variant prioritization tool, OVA (ontology variant analysis), in which user-provided phenotypic information is exploited to infer deeper biological context. OVA combines a knowledge-based approach with a variant-filtering framework. It reduces the number of candidate variants by considering genotype and predicted effect on protein sequence, and scores the remainder on biological relevance to the query phenotype.We take advantage of several ontologies in order to bridge knowledge across multiple biomedical domains and facilitate computational analysis of annotations pertaining to genes, diseases, phenotypes, tissues and pathways. In this way, OVA combines information regarding molecular and physical phenotypes and integrates both human and model organism data to effectively prioritize variants. By assessing performance on both known and novel disease mutations, we show that OVA performs biologically meaningful candidate variant prioritization and can be more accurate than another recently published candidate variant prioritization tool. OVA is freely accessible at http://dna2.leeds.ac.uk:8080/OVA/index.jsp. Supplementary data are available at Bioinformatics online. umaan@leeds.ac.uk. © The Author 2015. Published by Oxford University Press.

Assessing HIV risk in workplaces for prioritizing HIV preventive interventions in Karnataka State, India.

PubMed

Halli, Shiva S; Buzdugan, Raluca; Ramesh, B M; Gurnani, Vandana; Sharma, Vivek; Moses, Stephen; Blanchard, James F

2009-09-01

To develop a model for prioritizing economic sectors for HIV preventive intervention programs in the workplace. This study was undertaken in Karnataka state, India. A 3-stage survey process was undertaken. In the first stage, we reviewed secondary data available from various government departments, identified industries in the private sector with large workforces, and mapped their geographical distribution. In the second stage, an initial rapid risk assessment of industrial sectors was undertaken, using key-informant interviews conducted in relation to a number of enterprises, and in consultation with stakeholders. In the third stage, we used both quantitative (polling booth survey) and qualitative methods (key informant interviews, in-depth interviews, focus group discussions) to study high-risk sectors in-depth, and assessed the need and feasibility of HIV workplace intervention programs. The highest risk sectors were found to be mining, garment/textile, sugar, construction/infrastructure, and fishing industries. Workers in all sectors had at best partial knowledge about HIV/AIDS, coupled with common misconceptions about HIV transmission. There were intersector and intrasector variations in risk and vulnerability across different geographical locations and across different categories of workers. This has implications for the design and implementation of workplace intervention programs. There is tremendous scope for HIV preventive interventions in workplaces in India. Given the variation in HIV risk across economic sectors and limited available resources, there will be increased pressure to prioritize intervention efforts towards high-risk sectors. This study offers a model for rapidly assessing the risk level of economic sectors for HIV intervention programs.

Suggestions in maternal and child health for the National Technology Assessment Programme: a consideration of consumer and professional priorities.

PubMed

Johanson, R; Rigby, C; Newburn, M; Stewart, M; Jones, P

2002-03-01

In North Staffordshire, the Achieving Sustainable Quality in Maternity (ASQUAM) meetings provide the programme for clinical guidelines and audit over the following year. The ASQUAM clinical effectiveness programme has attempted to address a number of the issues identified as obstacles to informed democratic prioritization. For example, it became clear that a number of topics raised were actually research questions. The organizers therefore decided to split the fourth ASQUAM day into an 'audit' morning and a 'research' afternoon. The meeting organized by RJ, CR and PJ in partnership with the Midwives Information and Resource Service and the National Childbirth Trust, was timed to allow the research ideas to feed into the national Health Technology Assessment (HTA) programme. This meeting was designed to increase the profile of ASQUAM amongst consumers and to increase their representation at the meeting. Objectives were to choose a new set of research priorities for the year 2000, and to ascertain the voting pattern of comparison to health professionals. There was overall agreement in terms of priorities, with the consumer group prioritizing 8 of the 10 topics chosen by the professionals (or 10 of the 11). No significant differences between the proportions of voted cast for each topic by professionals and consumers were found apart from topic 20. The numbers of consumers were small which does limit the number the validity of statistical comparisons. Nevertheless, it is clear that voting patterns were similar. Overall the process suggests that democratic prioritization is a viable option and one that may become essential within the framework of clinical and research governance.

Chapter 15: Disease Gene Prioritization

PubMed Central

Bromberg, Yana

2013-01-01

Disease-causing aberrations in the normal function of a gene define that gene as a disease gene. Proving a causal link between a gene and a disease experimentally is expensive and time-consuming. Comprehensive prioritization of candidate genes prior to experimental testing drastically reduces the associated costs. Computational gene prioritization is based on various pieces of correlative evidence that associate each gene with the given disease and suggest possible causal links. A fair amount of this evidence comes from high-throughput experimentation. Thus, well-developed methods are necessary to reliably deal with the quantity of information at hand. Existing gene prioritization techniques already significantly improve the outcomes of targeted experimental studies. Faster and more reliable techniques that account for novel data types are necessary for the development of new diagnostics, treatments, and cure for many diseases. PMID:23633938

Prioritizing preferable locations for increasing urban tree canopy in New York City

Treesearch

Dexter Locke; J. Morgan Grove; Jacqueline W.T. Lu; Austin Troy; Jarlath P.M. O' Neil-Dunne; Brian Beck

2010-01-01

This paper presents a set of Geographic Information System (GIS) methods for identifying and prioritizing tree planting sites in urban environments. It uses an analytical approach created by a University of Vermont service-learning class called "GIS Analysis of New York City's Ecology" that was designed to provide research support to the MillionTreesNYC...

The Effects of Subjective Time Pressure and Individual Differences on Hypotheses Generation and Action Prioritization in Police Investigations

ERIC Educational Resources Information Center

Alison, Laurence; Doran, Bernadette; Long, Matthew L.; Power, Nicola; Humphrey, Amy

2013-01-01

When individuals perceive time pressure, they decrease the generation of diagnostic hypotheses and prioritize information. This article examines whether individual differences in (a) internal time urgency, (b) experience, and (c) fluid mental ability can moderate these effects. Police officers worked through a computer-based rape investigative…

Approaches, tools and methods used for setting priorities in health research in the 21(st) century.

PubMed

Yoshida, Sachiyo

2016-06-01

Health research is difficult to prioritize, because the number of possible competing ideas for research is large, the outcome of research is inherently uncertain, and the impact of research is difficult to predict and measure. A systematic and transparent process to assist policy makers and research funding agencies in making investment decisions is a permanent need. To obtain a better understanding of the landscape of approaches, tools and methods used to prioritize health research, I conducted a methodical review using the PubMed database for the period 2001-2014. A total of 165 relevant studies were identified, in which health research prioritization was conducted. They most frequently used the CHNRI method (26%), followed by the Delphi method (24%), James Lind Alliance method (8%), the Combined Approach Matrix (CAM) method (2%) and the Essential National Health Research method (<1%). About 3% of studies reported no clear process and provided very little information on how priorities were set. A further 19% used a combination of expert panel interview and focus group discussion ("consultation process") but provided few details, while a further 2% used approaches that were clearly described, but not established as a replicable method. Online surveys that were not accompanied by face-to-face meetings were used in 8% of studies, while 9% used a combination of literature review and questionnaire to scrutinise the research options for prioritization among the participating experts. The number of priority setting exercises in health research published in PubMed-indexed journals is increasing, especially since 2010. These exercises are being conducted at a variety of levels, ranging from the global level to the level of an individual hospital. With the development of new tools and methods which have a well-defined structure - such as the CHNRI method, James Lind Alliance Method and Combined Approach Matrix - it is likely that the Delphi method and non-replicable consultation processes will gradually be replaced by these emerging tools, which offer more transparency and replicability. It is too early to say whether any single method can address the needs of most exercises conducted at different levels, or if better results may perhaps be achieved through combination of components of several methods.

A strategy for prioritizing threats and recovery actions for at-risk species.

PubMed

Darst, Catherine R; Murphy, Philip J; Strout, Nathan W; Campbell, Steven P; Field, Kimberleigh J; Allison, Linda; Averill-Murray, Roy C

2013-03-01

Ensuring the persistence of at-risk species depends on implementing conservation actions that ameliorate threats. We developed and implemented a method to quantify the relative importance of threats and to prioritize recovery actions based on their potential to affect risk to Mojave desert tortoises (Gopherus agassizii). We used assessments of threat importance and elasticities of demographic rates from population matrix models to estimate the relative contributions of threats to overall increase in risk to the population. We found that urbanization, human access, military operations, disease, and illegal use of off highway vehicles are the most serious threats to the desert tortoise range-wide. These results suggest that, overall, recovery actions that decrease habitat loss, predation, and crushing will be most effective for recovery; specifically, we found that habitat restoration, topic-specific environmental education, and land acquisition are most likely to result in the greatest decrease in risk to the desert tortoise across its range. In addition, we have developed an application that manages the conceptual model and all supporting information and calculates threat severity and potential effectiveness of recovery actions. Our analytical approach provides an objective process for quantifying threats, prioritizing recovery actions, and developing monitoring metrics for those actions for adaptive management of any at-risk species.

Why prioritize when there isn't enough money?

PubMed Central

Wikler, Daniel

2003-01-01

In an informal address to the 4th International Conference on Priorities in Health (Oslo, 23 September 2002), Professor Jeffrey Sachs – Chairperson of the WHO Commission on Macroeconomics and Health – maintained that the real causes of the inability of the world's poorest people to receive help for the lethal diseases that burden them did not include the "usual suspects" (corruption, mismanagement, and wrong priorities). Rather, the root cause was argued to be an inherent lack of money, indicating that the burden of disease would be lifted only if rich countries gave more money to poor ones. Without taking exception to anything that Sachs said in his address, there nevertheless remain a number of justifications for efforts to improve priority setting in the face of severely shortages of resources, including the following three defenses: prioritization is needed if we are to know that prioritization is insufficient; prioritization is most important when there is little money; prioritization can itself increase resources. PMID:12773216

Working memory load eliminates the survival processing effect.

PubMed

Kroneisen, Meike; Rummel, Jan; Erdfelder, Edgar

2014-01-01

In a series of experiments, Nairne, Thompson, and Pandeirada (2007) demonstrated that words judged for their relevance to a survival scenario are remembered better than words judged for a scenario not relevant on a survival dimension. They explained this survival-processing effect by arguing that nature "tuned" our memory systems to process and remember fitness-relevant information. Kroneisen and Erdfelder (2011) proposed that it may not be survival processing per se that facilitates recall but the richness and distinctiveness with which information is encoded. To further test this account, we investigated how the survival processing effect is affected by cognitive load. If the survival processing effect is due to automatic processes or, alternatively, if survival processing is routinely prioritized in dual-task contexts, we would expect this effect to persist under cognitive load conditions. If the effect relies on cognitively demanding processes like richness and distinctiveness of encoding, however, the survival processing benefit should be hampered by increased cognitive load during encoding. Results were in line with the latter prediction, that is, the survival processing effect vanished under dual-task conditions.

[Community prioritization in Barcelona Salut als Barris program].

PubMed

Sánchez-Ledesma, Esther; Pérez, Anna; Vázquez, Noelia; García-Subirats, Irene; Fernández, Ana; Novoa, Ana M; Daban, Ferran

Prioritizing corresponds to the process of selecting and managing health needs identified after diagnosing the community's health needs and assets. Recently, the health needs assessment has been reinforced with the community perspective, providing multiple benefits: it sensitizes and empowers the community about their health, encourages mutual support among its members and promotes their importance by making them responsible for the process of improving their own reality. The objective of this paper is to describe the prioritization of Barcelona Salut als Barris, a community health strategy led by the Barcelona Public Health Agency to promote equity in health in the most disadvantaged neighborhoods of the city. Copyright © 2017 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

Tidal wetlands of the Yaquina and Alsea River estuaries, Oregon: Geographic Information Systems layer development and recommendations for National Wetlands Inventory revisions

USGS Publications Warehouse

Brophy, Laura S.; Reusser, Deborah A.; Janousek, Christopher N.

2013-01-01

Geographic Information Systems (GIS) layers of current, and likely former, tidal wetlands in two Oregon estuaries were generated by enhancing the 2010 National Wetlands Inventory (NWI) data with expert local field knowledge, Light Detection and Ranging-derived elevations, and 2009 aerial orthophotographs. Data were generated for two purposes: First, to enhance the NWI by recommending revised Cowardin classifications for certain NWI wetlands within the study area; and second, to generate GIS data for the 1999 Yaquina and Alsea River Basins Estuarine Wetland Site Prioritization study. Two sets of GIS products were generated: (1) enhanced NWI shapefiles; and (2) shapefiles of prioritization sites. The enhanced NWI shapefiles contain recommended changes to the Cowardin classification (system, subsystem, class, and/or modifiers) for 286 NWI polygons in the Yaquina estuary (1,133 acres) and 83 NWI polygons in the Alsea estuary (322 acres). These enhanced NWI shapefiles also identify likely former tidal wetlands that are classified as upland in the current NWI (64 NWI polygons totaling 441 acres in the Yaquina estuary; 16 NWI polygons totaling 51 acres in the Alsea estuary). The former tidal wetlands were identified to assist strategic planning for tidal wetland restoration. Cowardin classifications for the former tidal wetlands were not provided, because their current hydrology is complex owing to dikes, tide gates, and drainage ditches. The scope of this project did not include the field evaluation that would be needed to determine whether the former tidal wetlands are currently wetlands, and if so, determine their correct Cowardin classification. The prioritization site shapefiles contain 49 prioritization sites totaling 2,177 acres in the Yaquina estuary, and 39 prioritization sites totaling 1,045 acres in the Alsea estuary. The prioritization sites include current and former (for example, diked) tidal wetlands, and provide landscape units appropriate for basin-scale wetland restoration and conservation action planning. Several new prioritization sites (not included in the 1999 prioritization) were identified in each estuary, consisting of NWI polygons formerly classified as nontidal wetland or upland. The GIS products of this project improve the accuracy and utility of the NWI data, and provide useful tools for estuarine resource management.

Scenarios to prioritize observing activities on the North Slope, Alaska in the context of resource development, climate change and socio-economic uncertainties

NASA Astrophysics Data System (ADS)

Lee, O. A.; Eicken, H.; Payne, J. F.; Lassuy, D.

2014-12-01

The North Slope of Alaska is experiencing rapid changes in response to interacting climate and socioeconomic drivers. The North Slope Science Initiative (NSSI) is using scenarios as a tool to identify plausible, spatially explicit future states of resource extraction activities on the North Slope and adjacent seas through the year 2040. The objective of the scenarios process is to strategically assess research and monitoring needs on the North Slope. The participatory scenarios process involved stakeholder input (including Federal, State, local, academic, industry and non-profit representatives) to identify key drivers of change related to resource extraction activities on the North Slope. While climate change was identified as a key driver in the biophysical system, economic drivers related to oil and gas development were also important. Expert-reviewed informational materials were developed to help stakeholders obtain baseline knowledge and stimulate discussions about interactions between drivers, knowledge gaps and uncertainties. Map-based scenario products will allow mission-oriented agencies to jointly explore where to prioritize research investments and address risk in a complex, changing environment. Scenarios consider multidecadal timescales. However, tracking of indicator variables derived from scenarios can lead to important insights about the trajectory of the North Slope social-environmental system and inform management decisions to reduce risk on much shorter timescales. The inclusion of stakeholders helps provide a broad spectrum of expert viewpoints necessary for considering the range of plausible scenarios. A well-defined focal question, transparency in the participation process and continued outreach about the utility and limitations of scenarios are also important components of the scenarios process.

An applications-oriented approach to the development of virtual environments

NASA Technical Reports Server (NTRS)

Crowe, Michael X.

1994-01-01

The field of Virtual Reality (VR) is diverse, ranging in scope from research into fundamental enabling technologies to the building of full-scale entertainment facilities. However, the concept of virtual reality means many things to many people. Ideally, a definition of VR should derive from how it can provide solutions to existing challenges in building advanced human computer interfaces. The measure of success for VR lies in its ability to enhance the assimilation of complex information, whether to aid in difficult decision making processes, or to recreate real experiences in a compelling way. This philosophy is described using an example from a VR-based advertising project. The common and unique elements of this example are explained, though the fundamental development process is the same for all virtual environments that support information transfer. In short, this development approach is an applications oriented approach that begins by establishing and prioritizing user requirements and seeks to add value to the information transfer process through the appropriate use of VR technology.

Using task analysis to understand the Data System Operations Team

NASA Technical Reports Server (NTRS)

Holder, Barbara E.

1994-01-01

The Data Systems Operations Team (DSOT) currently monitors the Multimission Ground Data System (MGDS) at JPL. The MGDS currently supports five spacecraft and within the next five years, it will support ten spacecraft simultaneously. The ground processing element of the MGDS consists of a distributed UNIX-based system of over 40 nodes and 100 processes. The MGDS system provides operators with little or no information about the system's end-to-end processing status or end-to-end configuration. The lack of system visibility has become a critical issue in the daily operation of the MGDS. A task analysis was conducted to determine what kinds of tools were needed to provide DSOT with useful status information and to prioritize the tool development. The analysis provided the formality and structure needed to get the right information exchange between development and operations. How even a small task analysis can improve developer-operator communications is described, and the challenges associated with conducting a task analysis in a real-time mission operations environment are examined.

Grand Challenges in Clinical Decision Support v10

PubMed Central

Sittig, Dean F.; Wright, Adam; Osheroff, Jerome A.; Middleton, Blackford; Teich, Jonathan M.; Ash, Joan S.; Campbell, Emily; Bates, David W.

2008-01-01

There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support capabilities for clinicians, patients and consumers. Using an iterative, consensus-building process we identified a rank-ordered list of the top 10 grand challenges in clinical decision support. This list was created to educate and inspire researchers, developers, funders, and policy-makers. The list of challenges in order of importance that they be solved if patients and organizations are to begin realizing the fullest benefits possible of these systems consists of: Improve the human-computer interface; Disseminate best practices in CDS design, development, and implementation; Summarize patient-level information; Prioritize and filter recommendations to the user; Create an architecture for sharing executable CDS modules and services; Combine recommendations for patients with co-morbidities; Prioritize CDS content development and implementation; Create internet-accessible clinical decision support repositories; Use freetext information to drive clinical decision support; Mine large clinical databases to create new CDS. Identification of solutions to these challenges is critical if clinical decision support is to achieve its potential and improve the quality, safety and efficiency of healthcare. PMID:18029232

Exploring consumer pathways and patterns of use for ...

EPA Pesticide Factsheets

Background: Humans may be exposed to thousands of chemicals through contact in the workplace, home, and via air, water, food, and soil. A major challenge is estimating exposures to these chemicals, which requires understanding potential exposure routes directly related to how chemicals are used. Objectives: We aimed to assign “use categories” to a database of chemicals, including ingredients in consumer products, to help prioritize which chemicals will be given more scrutiny relative to human exposure potential and target populations. The goal was to identify (a) human activities that result in increased chemical exposure while (b) simplifying the dimensionality of hazard assessment for risk characterization. Methods: Major data sources on consumer- and industrial-process based chemical uses were compiled from multiple countries, including from regulatory agencies, manufacturers, and retailers. The resulting categorical chemical use and functional information are presented through the Chemical/Product Categories Database (CPCat). Results: CPCat contains information on 43,596 unique chemicals mapped to 833 terms categorizing their usage or function. Examples presented demonstrate potential applications of the CPCat database, including the identification of chemicals to which children may be exposed (including those that are not identified on product ingredient labels), and prioritization of chemicals for toxicity screening. The CPCat database is availabl

A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization.

PubMed

Brown, Andrew D; Marotta, Thomas R

2017-02-01

Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural language processing (NLP) models to determine whether NLP techniques could be employed to aid in clinical decision support for protocoling and prioritization of magnetic resonance imaging (MRI) brain examinations. To test the feasibility of using an NLP model to support clinical decision making for MRI brain examinations, we designed three different medical imaging prediction tasks, each with a unique outcome: selecting an examination protocol, evaluating the need for contrast administration, and determining priority. We created three models for each prediction task, each using a different classification algorithm-random forest, support vector machine, or k-nearest neighbor-to predict outcomes based on the narrative clinical indications and demographic data associated with 13,982 MRI brain examinations performed from January 1, 2013 to June 30, 2015. Test datasets were used to calculate the accuracy, sensitivity and specificity, predictive values, and the area under the curve. Our optimal results show an accuracy of 82.9%, 83.0%, and 88.2% for the protocol selection, contrast administration, and prioritization tasks, respectively, demonstrating that predictive algorithms can be used to aid in clinical decision support for examination protocoling. NLP models developed from the narrative clinical information provided by referring clinicians and demographic data are feasible methods to predict the protocol and priority of MRI brain examinations. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

The neural networks of subjectively evaluated emotional conflicts.

PubMed

Rohr, Christiane S; Villringer, Arno; Solms-Baruth, Carolina; van der Meer, Elke; Margulies, Daniel S; Okon-Singer, Hadas

2016-06-01

Previous work on the neural underpinnings of emotional conflict processing has largely focused on designs that instruct participants to ignore a distracter which conflicts with a target. In contrast, this study investigated the noninstructed experience and evaluation of an emotional conflict, where positive or negative cues can be subjectively prioritized. To this end, healthy participants freely watched short film scenes that evoked emotional conflicts while their BOLD responses were measured. Participants' individual ratings of conflict and valence perception during the film scenes were collected immediately afterwards, and the individual ratings were regressed against the BOLD data. Our analyses revealed that (a) amygdala and medial prefrontal cortex were significantly involved in prioritizing positive or negative cues, but not in subjective evaluations of conflict per se, and (b) superior temporal sulcus (STS) and inferior parietal lobule (IPL), which have been implicated in social cognition and emotion control, were involved in both prioritizing positive or negative cues and subjectively evaluating conflict, and may thus constitute "hubs" or "switches" in emotional conflict processing. Psychophysiological interaction (PPI) analyses further revealed stronger functional connectivity between IPL and ventral prefrontal-medial parietal areas in prioritizing negative cues, and stronger connectivity between STS and dorsal-rostral prefrontal-medial parietal areas in prioritizing positive cues. In sum, our results suggest that IPL and STS are important in the subjective evaluation of complex conflicts and influence valence prioritization via prefrontal and parietal control centers. Hum Brain Mapp 37:2234-2246, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

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

Stein, Steven L.; Lesperance, Ann M.; Upton, Jaki F.

On October 9, 2008, federal, state and local policy makers, emergency managers, and medical and public health officials convened in Seattle, Washington, for a workshop on Addressing the Federal-State-Local Interface Issues During a Catastrophic Event Such as an Anthrax Attack. The day-long symposium was aimed at generating a dialogue about recovery and restoration through a discussion of the associated challenges that impact entire communities, including people, infrastructure, and critical systems. The Principal Federal Official (PFO) provided an overview of the role of the PFO in a catastrophic event. A high-level summary of an anthrax scenario was presented. The remainder ofmore » the day was focused on interactive discussions among federal, state and local emergency management experts in the areas of: • Decision-making, prioritization, and command and control • Public health/medical services • Community resiliency and continuity of government. Key topics and issues that resulted from discussions included: • Local representation in the Joint Field Office (JFO) • JFO transition to the Long-Term Recovery Office • Process for prioritization of needs • Process for regional coordination • Prioritization - process and federal/military intervention • Allocation of limited resources • Re-entry decision and consistency • Importance of maintaining a healthy hospital system • Need for a process to establish a consensus on when it is safe to re-enter. This needs to be across all jurisdictions including the military. • Insurance coverage for both private businesses and individuals • Interaction between the government and industry. The symposium was sponsored by the Interagency Biological Restoration Demonstration, a collaborative regional program jointly funded by the U.S. Department of Homeland Security and the U.S. Department of Defense. To aid the program’s efforts and inform the development of blueprint for recovery from a biological incident, this report presents the key issues identified at the symposium.« less

An Investigation of Alerting and Prioritization Criteria for Sense and Avoid (SAA)

DTIC Science & Technology

2013-10-01

TECHNICAL REPORT RDMR-TM-13-01 AN INVESTIGATION OF ALERTING AND PRIORITIZATION CRITERIA FOR SENSE AND AVOID ( SAA ...OFFICIAL ENDORSEMENT OR APPROVAL OF THE USE OF SUCH COMMERCIAL HARDWARE OR SOFTWARE . i/ii (Blank) REPORT DOCUMENTATION PAGE Form Approved...burden to Washington Headquarters Services , Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington

(On)line dancing: choosing an appropriate distance education partner.

PubMed

Menn, Mindy; Don Chaney, J

2014-05-01

Online-delivered distance education is a burgeoning component of professional development and continuing education. Distance education programs allow individuals to learn in a different location and/or at a different time from fellow learners, thereby increasing the flexibility and number of learning options. Selecting the "right" program for personal development from the ever-growing body of online-delivered education is an individualized decision that can become an overwhelming and challenging process. This Tool presents four important definitions for navigating distance education program description materials and outlines a five-step process to assist in identifying an appropriate program for personal development. The five-step process includes key questions and points to consider while conducting a candid self-assessment, identifying and investigating distance education programs, and then compiling information, comparing programs, and prioritizing a list of programs suitable for application. Furthermore, this Tool highlights important websites for distance education degree program reviews, accreditation information, and open educational resources.

78 FR 26103 - Proposed Standard Operating Procedure (SOP) of the Aircraft Certification Service (AIR) Project...

Federal Register 2010, 2011, 2012, 2013, 2014

2013-05-03

... (SOP) of the Aircraft Certification Service (AIR) Project Prioritization and Resource Management ACTION... procedure (SOP) describing the process used to prioritize certification projects and manage certification project resources when local resources are not available. DATES: Comments must be received on or before...

A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study.

PubMed

Paul Friedman, Katie; Papineni, Sabitha; Marty, M Sue; Yi, Kun Don; Goetz, Amber K; Rasoulpour, Reza J; Kwiatkowski, Pat; Wolf, Douglas C; Blacker, Ann M; Peffer, Richard C

2016-10-01

The US Environmental Protection Agency Endocrine Disruptor Screening Program (EDSP) is a tiered screening approach to determine the potential for a chemical to interact with estrogen, androgen, or thyroid hormone systems and/or perturb steroidogenesis. Use of high-throughput screening (HTS) to predict hazard and exposure is shifting the EDSP approach to (1) prioritization of chemicals for further screening; and (2) targeted use of EDSP Tier 1 assays to inform specific data needs. In this work, toxicology data for three triazole fungicides (triadimefon, propiconazole, and myclobutanil) were evaluated, including HTS results, EDSP Tier 1 screening (and other scientifically relevant information), and EPA guideline mammalian toxicology study data. The endocrine-related bioactivity predictions from HTS and information that satisfied the EDSP Tier 1 requirements were qualitatively concordant. Current limitations in the available HTS battery for thyroid and steroidogenesis pathways were mitigated by inclusion of guideline toxicology studies in this analysis. Similar margins (3-5 orders of magnitude) were observed between HTS-predicted human bioactivity and exposure values and between in vivo mammalian bioactivity and EPA chronic human exposure estimates for these products' registered uses. Combined HTS hazard and human exposure predictions suggest low priority for higher-tiered endocrine testing of these triazoles. Comparison with the mammalian toxicology database indicated that this HTS-based prioritization would have been protective for any potential in vivo effects that form the basis of current risk assessment for these chemicals. This example demonstrates an effective, human health protective roadmap for EDSP evaluation of pesticide active ingredients via prioritization using HTS and guideline toxicology information.

A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study

PubMed Central

Paul Friedman, Katie; Papineni, Sabitha; Marty, M. Sue; Yi, Kun Don; Goetz, Amber K.; Rasoulpour, Reza J.; Kwiatkowski, Pat; Wolf, Douglas C.; Blacker, Ann M.; Peffer, Richard C.

2016-01-01

Abstract The US Environmental Protection Agency Endocrine Disruptor Screening Program (EDSP) is a tiered screening approach to determine the potential for a chemical to interact with estrogen, androgen, or thyroid hormone systems and/or perturb steroidogenesis. Use of high-throughput screening (HTS) to predict hazard and exposure is shifting the EDSP approach to (1) prioritization of chemicals for further screening; and (2) targeted use of EDSP Tier 1 assays to inform specific data needs. In this work, toxicology data for three triazole fungicides (triadimefon, propiconazole, and myclobutanil) were evaluated, including HTS results, EDSP Tier 1 screening (and other scientifically relevant information), and EPA guideline mammalian toxicology study data. The endocrine-related bioactivity predictions from HTS and information that satisfied the EDSP Tier 1 requirements were qualitatively concordant. Current limitations in the available HTS battery for thyroid and steroidogenesis pathways were mitigated by inclusion of guideline toxicology studies in this analysis. Similar margins (3–5 orders of magnitude) were observed between HTS-predicted human bioactivity and exposure values and between in vivo mammalian bioactivity and EPA chronic human exposure estimates for these products’ registered uses. Combined HTS hazard and human exposure predictions suggest low priority for higher-tiered endocrine testing of these triazoles. Comparison with the mammalian toxicology database indicated that this HTS-based prioritization would have been protective for any potential in vivo effects that form the basis of current risk assessment for these chemicals. This example demonstrates an effective, human health protective roadmap for EDSP evaluation of pesticide active ingredients via prioritization using HTS and guideline toxicology information. PMID:27347635

A prioritization and analysis strategy for environmental surveillance results.

PubMed

Shyr, L J; Herrera, H; Haaker, R

1997-11-01

DOE facilities are required to conduct environmental surveillance to verify that facility operations are operated within the approved risk envelope and have not caused undue risk to the public and the environment. Given a reduced budget, a strategy for analyzing environmental surveillance data was developed to set priorities for sampling needs. The radiological and metal data collected at Sandia National Laboratories, New Mexico, were used to demonstrate the analysis strategy. Sampling locations were prioritized for further investigation and the needs for routine sampling. The process of data management, analysis, prioritization, and presentation has been automated through a custom-designed computer tool. Data collected over years can be analyzed and summarized in a short table format for prioritization and decision making.

A vulnerability assessment of 300 species in Florida: threats from sea level rise, land use, and climate change.

PubMed

Reece, Joshua Steven; Noss, Reed F; Oetting, Jon; Hoctor, Tom; Volk, Michael

2013-01-01

Species face many threats, including accelerated climate change, sea level rise, and conversion and degradation of habitat from human land uses. Vulnerability assessments and prioritization protocols have been proposed to assess these threats, often in combination with information such as species rarity; ecological, evolutionary or economic value; and likelihood of success. Nevertheless, few vulnerability assessments or prioritization protocols simultaneously account for multiple threats or conservation values. We applied a novel vulnerability assessment tool, the Standardized Index of Vulnerability and Value, to assess the conservation priority of 300 species of plants and animals in Florida given projections of climate change, human land-use patterns, and sea level rise by the year 2100. We account for multiple sources of uncertainty and prioritize species under five different systems of value, ranging from a primary emphasis on vulnerability to threats to an emphasis on metrics of conservation value such as phylogenetic distinctiveness. Our results reveal remarkable consistency in the prioritization of species across different conservation value systems. Species of high priority include the Miami blue butterfly (Cyclargus thomasi bethunebakeri), Key tree cactus (Pilosocereus robinii), Florida duskywing butterfly (Ephyriades brunnea floridensis), and Key deer (Odocoileus virginianus clavium). We also identify sources of uncertainty and the types of life history information consistently missing across taxonomic groups. This study characterizes the vulnerabilities to major threats of a broad swath of Florida's biodiversity and provides a system for prioritizing conservation efforts that is quantitative, flexible, and free from hidden value judgments.

Prioritizing Chemicals and Data Requirements for Screening-Level Exposure and Risk Assessment

PubMed Central

Brown, Trevor N.; Wania, Frank; Breivik, Knut; McLachlan, Michael S.

2012-01-01

Background: Scientists and regulatory agencies strive to identify chemicals that may cause harmful effects to humans and the environment; however, prioritization is challenging because of the large number of chemicals requiring evaluation and limited data and resources. Objectives: We aimed to prioritize chemicals for exposure and exposure potential and obtain a quantitative perspective on research needs to better address uncertainty in screening assessments. Methods: We used a multimedia mass balance model to prioritize > 12,000 organic chemicals using four far-field human exposure metrics. The propagation of variance (uncertainty) in key chemical information used as model input for calculating exposure metrics was quantified. Results: Modeled human concentrations and intake rates span approximately 17 and 15 orders of magnitude, respectively. Estimates of exposure potential using human concentrations and a unit emission rate span approximately 13 orders of magnitude, and intake fractions span 7 orders of magnitude. The actual chemical emission rate contributes the greatest variance (uncertainty) in exposure estimates. The human biotransformation half-life is the second greatest source of uncertainty in estimated concentrations. In general, biotransformation and biodegradation half-lives are greater sources of uncertainty in modeled exposure and exposure potential than chemical partition coefficients. Conclusions: Mechanistic exposure modeling is suitable for screening and prioritizing large numbers of chemicals. By including uncertainty analysis and uncertainty in chemical information in the exposure estimates, these methods can help identify and address the important sources of uncertainty in human exposure and risk assessment in a systematic manner. PMID:23008278

Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

PubMed

Kreimeyer, Kory; Foster, Matthew; Pandey, Abhishek; Arya, Nina; Halford, Gwendolyn; Jones, Sandra F; Forshee, Richard; Walderhaug, Mark; Botsis, Taxiarchis

2017-09-01

We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. Seven literature databases were searched with a query combining the concepts of natural language processing and structured data capture. Two reviewers screened all records for relevance during two screening phases, and information about clinical NLP systems was collected from the final set of papers. A total of 7149 records (after removing duplicates) were retrieved and screened, and 86 were determined to fit the review criteria. These papers contained information about 71 different clinical NLP systems, which were then analyzed. The NLP systems address a wide variety of important clinical and research tasks. Certain tasks are well addressed by the existing systems, while others remain as open challenges that only a small number of systems attempt, such as extraction of temporal information or normalization of concepts to standard terminologies. This review has identified many NLP systems capable of processing clinical free text and generating structured output, and the information collected and evaluated here will be important for prioritizing development of new approaches for clinical NLP. Copyright © 2017 Elsevier Inc. All rights reserved.

Prioritization of brain MRI volumes using medical image perception model and tumor region segmentation.

PubMed

Mehmood, Irfan; Ejaz, Naveed; Sajjad, Muhammad; Baik, Sung Wook

2013-10-01

The objective of the present study is to explore prioritization methods in diagnostic imaging modalities to automatically determine the contents of medical images. In this paper, we propose an efficient prioritization of brain MRI. First, the visual perception of the radiologists is adapted to identify salient regions. Then this saliency information is used as an automatic label for accurate segmentation of brain lesion to determine the scientific value of that image. The qualitative and quantitative results prove that the rankings generated by the proposed method are closer to the rankings created by radiologists. Copyright © 2013 Elsevier Ltd. All rights reserved.

Improving the forecast for biodiversity under climate change.

PubMed

Urban, M C; Bocedi, G; Hendry, A P; Mihoub, J-B; Pe'er, G; Singer, A; Bridle, J R; Crozier, L G; De Meester, L; Godsoe, W; Gonzalez, A; Hellmann, J J; Holt, R D; Huth, A; Johst, K; Krug, C B; Leadley, P W; Palmer, S C F; Pantel, J H; Schmitz, A; Zollner, P A; Travis, J M J

2016-09-09

New biological models are incorporating the realistic processes underlying biological responses to climate change and other human-caused disturbances. However, these more realistic models require detailed information, which is lacking for most species on Earth. Current monitoring efforts mainly document changes in biodiversity, rather than collecting the mechanistic data needed to predict future changes. We describe and prioritize the biological information needed to inform more realistic projections of species' responses to climate change. We also highlight how trait-based approaches and adaptive modeling can leverage sparse data to make broader predictions. We outline a global effort to collect the data necessary to better understand, anticipate, and reduce the damaging effects of climate change on biodiversity. Copyright © 2016, American Association for the Advancement of Science.

Wyoming greater sage-grouse habitat prioritization: A collection of multi-scale seasonal models and geographic information systems land management tools

USGS Publications Warehouse

O'Donnell, Michael S.; Aldridge, Cameron L.; Doherty, Kevin E.; Fedy, Bradley C.

2015-01-01

We deliver all products described herein as online geographic information system data for visualization and downloading. We outline the data properties for each model and their data inputs, describe the process of selecting appropriate data products for multifarious applications, describe all data products and software, provide newly derived model composites, and discuss how land managers may use the models to inform future sage-grouse studies and potentially refine conservation efforts. The models, software tools, and associated opportunities for novel applications of these products should provide a suite of additional, but not exclusive, tools for assessing Wyoming Greater Sage-grouse habitats, which land managers, conservationists, and scientists can apply to myriad applications.

[International Classification of Public Health Nursing Practices - CIPESC®: a pedagogical tool for epidemiological studies].

PubMed

Nichiata, Lúcia Yasuko Izumi; Padoveze, Maria Clara; Ciosak, Suely Itsuko; Gryschek, Anna Luiza de Fátima Pinho Lins; Costa, Angela Aparecida; Takahashi, Renata Ferreira; Bertolozzi, Maria Rita; de Araújo, Núbia Virgínia D'Ávila Limeira; Pereira, Erica Gomes; Dias, Vânia Ferreira Gomes; Cubas, Marcia Regina

2012-06-01

The CIPESC® is a tool that informs the work of nurses in Public Health and assists in prioritizing their care in practice, management and research. It is also a powerful pedagogical instrument for the qualification of nurses within the Brazilian healthcare system. In the teaching of infectious diseases, using the CIPESC® assists in analyzing the interventions by encouraging clinical and epidemiological thinking regarding the health-illness process. With the purpose in mind of developing resources for teaching undergraduate nursing students and encouraging reflection regarding the process of nursing work, this article presents an experimental application of CIPESC®, using meningococcal meningitis as an example.

The Holistic Targeting (HOT) Methodology as the Means to Improve Information Operations (IO) Target Development and Prioritization

DTIC Science & Technology

2008-09-01

software facilitate targeting problem understanding and the network analysis tool, Palantir , as an efficient and tailored semi-automated means to...the use of compendium software facilitate targeting problem understanding and the network analysis tool, Palantir , as an efficient and tailored semi...OBJECTIVES USING COMPENDIUM SOFTWARE .....63 E. HOT TARGET PRIORITIZATION AND DEVELOPMENT USING PALANTIR SOFTWARE .................................69 1

The legacy of the Child Health and Nutrition Research Initiative (CHNRI).

PubMed

Black, Robert E

2016-06-01

Under the Global Forum for Health Research, the Child Health and Nutrition Research Initiative (CHNRI) began its operations in 1999 and became a Swiss foundation in 2006. The vision of CHNRI was to improve child health and nutrition of all children in low- and middle-income countries (LMIC) through research that informs health policy and practice. Specific objectives included expanding global knowledge on childhood disease burden and cost-effectiveness of interventions, promoting priority setting in research, ensuring inclusion of institutions and scientists in LMIC in setting priorities, promoting capacity development in LMIC and stimulating donors and countries to increase resources for research. CHNRI created a knowledge network, funded research through multiple rounds of a global competitive process and published research papers and policy briefs. A signature effort was to develop a systematic methodology for prioritizing health and nutrition research investments. The "CHNRI method" has been extensively applied to global health problems and is now the most commonly used method for prioritizing health research questions.

Strategic planning decision making using fuzzy SWOT-TOPSIS with reliability factor

NASA Astrophysics Data System (ADS)

Mohamad, Daud; Afandi, Nur Syamimi; Kamis, Nor Hanimah

2015-10-01

Strategic planning is a process of decision making and action for long-term activities in an organization. The Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis has been commonly used to help organizations in strategizing their future direction by analyzing internal and external environment. However, SWOT analysis has some limitations as it is unable to prioritize appropriately the multiple alternative strategic decisions. Some efforts have been made to solve this problem by incorporating Multi Criteria Decision Making (MCDM) methods. Nevertheless, another important aspect has raised concerns on obtaining the decision that is the reliability of the information. Decision makers evaluate differently depending on their level of confidence or sureness in the evaluation. This study proposes a decision making procedure for strategic planning using SWOT-TOPSIS method by incorporating the reliability factor of the evaluation based on Z-number. An example using a local authority in the east coast of Malaysia is illustrated to determine the strategic options ranking and to prioritize factors in each SWOT category.

Priority issues for pressure injury research: An Australian consensus study.

PubMed

Haesler, Emily; Carville, Keryln; Haesler, Paul

2018-06-08

Pressure injuries are a significant health concern in all clinical settings. The current body of research on pressure injuries reported in the literature presents primarily low level evidence. The purpose of the current study was to identify and prioritize pressure injury research issues. The approach entailed evidence scoping and implementing a formal consensus process using a modified nominal group technique based on the Research and Development/University of California at Los Angeles appropriateness method. Sixteen Australian pressure injury experts participated in five consensus voting rounds in May to June 2015. From 60 initial research issues, the experts reached agreement that 26 issues are a priority for future pressure injury research. The highest priorities were strategies to assess skin and tissues, appropriate outcome measures for indicators of pressure injury healing and recurrence, heel pressure off-loading and shear reduction strategies, economic cost of pressure injuries and their management and effectiveness of skin moisturizers and barrier products. Developing a prioritized research agenda, informed by clinical and academic pressure injury experts, can assist in reducing the burden of pressure injuries by identifying topics of the highest need for further research. A web-based nominal group voting process was successful in engaging expert decision-making and has wide-reaching international appeal in facilitating cost-effective consensus methodologies. The priority list generated from this research is currently used in Australia to inform government investment in pressure injury research. © 2018 Wiley Periodicals, Inc.

Goal-Prioritization for Teachers, Coaches, and Students: A Developmental Model

ERIC Educational Resources Information Center

Symonds, Matthew L.; Tapps, Tyler

2016-01-01

The objective of this article is to provide background on types of goals, a system for writing goals, and a framework for goal-prioritization that can be implemented in classroom and/or sport settings. Goal-setting is the process of developing a desired outcome to serve as the purpose of one's actions.

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

Allgood, Tiffany L.; Sorter, Andy

The Coeur d'Alene Tribe's Energy Efficiency Feasibility Study (EEFS) is the culminating document that compiles the energy efficiency and building performance assessment and project prioritization process completed on 36 Tribally owned and operated facilities within Tribal lands. The EEFS contains sections on initial findings, utility billing analyses, energy conservation measures and prioritization and funding sources and strategies for energy project implementation.

PosMed-plus: an intelligent search engine that inferentially integrates cross-species information resources for molecular breeding of plants.

PubMed

Makita, Yuko; Kobayashi, Norio; Mochizuki, Yoshiki; Yoshida, Yuko; Asano, Satomi; Heida, Naohiko; Deshpande, Mrinalini; Bhatia, Rinki; Matsushima, Akihiro; Ishii, Manabu; Kawaguchi, Shuji; Iida, Kei; Hanada, Kosuke; Kuromori, Takashi; Seki, Motoaki; Shinozaki, Kazuo; Toyoda, Tetsuro

2009-07-01

Molecular breeding of crops is an efficient way to upgrade plant functions useful to mankind. A key step is forward genetics or positional cloning to identify the genes that confer useful functions. In order to accelerate the whole research process, we have developed an integrated database system powered by an intelligent data-retrieval engine termed PosMed-plus (Positional Medline for plant upgrading science), allowing us to prioritize highly promising candidate genes in a given chromosomal interval(s) of Arabidopsis thaliana and rice, Oryza sativa. By inferentially integrating cross-species information resources including genomes, transcriptomes, proteomes, localizomes, phenomes and literature, the system compares a user's query, such as phenotypic or functional keywords, with the literature associated with the relevant genes located within the interval. By utilizing orthologous and paralogous correspondences, PosMed-plus efficiently integrates cross-species information to facilitate the ranking of rice candidate genes based on evidence from other model species such as Arabidopsis. PosMed-plus is a plant science version of the PosMed system widely used by mammalian researchers, and provides both a powerful integrative search function and a rich integrative display of the integrated databases. PosMed-plus is the first cross-species integrated database that inferentially prioritizes candidate genes for forward genetics approaches in plant science, and will be expanded for wider use in plant upgrading in many species.

Prioritizing Genes Related to Nicotine Addiction Via a Multi-source-Based Approach.

PubMed

Liu, Xinhua; Liu, Meng; Li, Xia; Zhang, Lihua; Fan, Rui; Wang, Ju

2015-08-01

Nicotine has a broad impact on both the central and peripheral nervous systems. Over the past decades, an increasing number of genes potentially involved in nicotine addiction have been identified by different technical approaches. However, the molecular mechanisms underlying nicotine addiction remain largely unknown. Under such situation, prioritizing the candidate genes for further investigation is becoming increasingly important. In this study, we presented a multi-source-based gene prioritization approach for nicotine addiction by utilizing the vast amounts of information generated from for nicotine addiction study during the past years. In this approach, we first collected and curated genes from studies in four categories, i.e., genetic association analysis, genetic linkage analysis, high-throughput gene/protein expression analysis, and literature search of single gene/protein-based studies. Based on these resources, the genes were scored and a weight value was determined for each category. Finally, the genes were ranked by their combined scores, and 220 genes were selected as the prioritized nicotine addiction-related genes. Evaluation suggested the prioritized genes were promising targets for further analysis and replication study.

Abundance models improve spatial and temporal prioritization of conservation resources.

PubMed

Johnston, Alison; Fink, Daniel; Reynolds, Mark D; Hochachka, Wesley M; Sullivan, Brian L; Bruns, Nicholas E; Hallstein, Eric; Merrifield, Matt S; Matsumoto, Sandi; Kelling, Steve

2015-10-01

Conservation prioritization requires knowledge about organism distribution and density. This information is often inferred from models that estimate the probability of species occurrence rather than from models that estimate species abundance, because abundance data are harder to obtain and model. However, occurrence and abundance may not display similar patterns and therefore development of robust, scalable, abundance models is critical to ensuring that scarce conservation resources are applied where they can have the greatest benefits. Motivated by a dynamic land conservation program, we develop and assess a general method for modeling relative abundance using citizen science monitoring data. Weekly estimates of relative abundance and occurrence were compared for prioritizing times and locations of conservation actions for migratory waterbird species in California, USA. We found that abundance estimates consistently provided better rankings of observed counts than occurrence estimates. Additionally, the relationship between abundance and occurrence was nonlinear and varied by species and season. Across species, locations prioritized by occurrence models had only 10-58% overlap with locations prioritized by abundance models, highlighting that occurrence models will not typically identify the locations of highest abundance that are vital for conservation of populations.

Prioritizing lean management practices in public and private hospitals.

PubMed

Hussain, Matloub; Malik, Mohsin

2016-05-16

Purpose - The purpose of this paper is to prioritize 21 healthcare wastes in public and private hospitals of United Arab Emirates (UAE). Design/methodology/approach - Seven healthcare wastes linked with lean management are further decomposed in to sub-criteria and to deal with this complexity of multi criteria decision-making process, analytical hierarchical process (AHP) method is used in this research. Findings - AHP framework for this study resulted in a ranking of 21 healthcare wastes in public and private hospitals of UAE. It has been found that management in private healthcare systems of UAE is putting more emphasis on the inventory waste. On the other hand, over processing waste has got highest weight in public hospitals of UAE. Research limitations/implications - The future directions of this research would be to apply a lean set of tools for the value stream optimization of the prioritized key improvement areas. Practical implications - This is a contribution to the continuing research into lean management, giving practitioners and designers a practical way for measuring and implementing lean practices across health organizations. Originality/value - The contribution of this research, through successive stages of data collection, measurement analysis and refinement, is a set of reliable and valid framework that can be subsequently used in conceptualization, prioritization of the waste reduction strategies in healthcare management.

Scientists' Prioritization of Communication Objectives for Public Engagement.

PubMed

Dudo, Anthony; Besley, John C

2016-01-01

Amid calls from scientific leaders for their colleagues to become more effective public communicators, this study examines the objectives that scientists' report drive their public engagement behaviors. We explore how scientists evaluate five specific communication objectives, which include informing the public about science, exciting the public about science, strengthening the public's trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the theory of planned behavior, and procedural justice theory to identify likely predictors of scientists' views about these communication objectives. Results show that scientists most prioritize communication designed to defend science from misinformation and educate the public about science, and least prioritize communication that seeks to build trust and establish resonance with the public. Regression analyses reveal factors associated with scientists who prioritize each of the five specific communication objectives. Our findings highlight the need for communication trainers to help scientists select specific communication objectives for particular contexts and audiences.

Automatic health record review to help prioritize gravely ill Social Security disability applicants.

PubMed

Abbott, Kenneth; Ho, Yen-Yi; Erickson, Jennifer

2017-07-01

Every year, thousands of patients die waiting for disability benefits from the Social Security Administration. Some qualify for expedited service under the Compassionate Allowance (CAL) initiative, but CAL software focuses exclusively on information from a single form field. This paper describes the development of a supplemental process for identifying some overlooked but gravely ill applicants, through automatic annotation of health records accompanying new claims. We explore improved prioritization instead of fully autonomous claims approval. We developed a sample of claims containing medical records at the moment of arrival in a single office. A series of tools annotated both patient records and public Web page descriptions of CAL medical conditions. We trained random forests to identify CAL patients and validated each model with 10-fold cross validation. Our main model, a general CAL classifier, had an area under the receiver operating characteristic curve of 0.915. Combining this classifier with existing software improved sensitivity from 0.960 to 0.994, detecting every deceased patient, but reducing positive predictive value to 0.216. True positive CAL identification is a priority, given CAL patient mortality. Mere prioritization of the false positives would not create a meaningful burden in terms of manual review. Death certificate data suggest the presence of truly ill patients among putative false positives. To a limited extent, it is possible to identify gravely ill Social Security disability applicants by analyzing annotations of unstructured electronic health records, and the level of identification is sufficient to be useful in prioritizing case reviews. Published by Oxford University Press on behalf of the American Medical Informatics Association 2017. This work is written by US Government employees and is in the public domain in the US.

Prioritizing Health: A Systematic Approach to Scoping Determinants in Health Impact Assessment.

PubMed

McCallum, Lindsay C; Ollson, Christopher A; Stefanovic, Ingrid L

2016-01-01

The determinants of health are those factors that have the potential to affect health, either positively or negatively, and include a range of personal, social, economic, and environmental factors. In the practice of health impact assessment (HIA), the stage at which the determinants of health are considered for inclusion is during the scoping step. The scoping step is intended to identify how the HIA will be carried out and to set the boundaries (e.g., temporal and geographical) for the assessment. There are several factors that can help to inform the scoping process, many of which are considered in existing HIA tools and guidance; however, a systematic method of prioritizing determinants was found to be lacking. In order to analyze existing HIA scoping tools that are available, a systematic literature review was conducted, including both primary and gray literature. A total of 10 HIA scoping tools met the inclusion/exclusion criteria and were carried forward for comparative analysis. The analysis focused on minimum elements and practice standards of HIA scoping that have been established in the field. The analysis determined that existing approaches lack a clear, systematic method of prioritization of health determinants for inclusion in HIA. This finding led to the development of a Systematic HIA Scoping tool that addressed this gap. The decision matrix tool uses factors, such as impact, public concern, and data availability, to prioritize health determinants. Additionally, the tool allows for identification of data gaps and provides a transparent method for budget allocation and assessment planning. In order to increase efficiency and improve utility, the tool was programed into Microsoft Excel. Future work in the area of HIA methodology development is vital to the ongoing success of the practice and utilization of HIA as a reliable decision-making tool.

A systematic collaborative process for assessing launch vehicle propulsion technologies

NASA Astrophysics Data System (ADS)

Odom, Pat R.

1999-01-01

A systematic, collaborative process for prioritizing candidate investments in space transportation systems technologies has been developed for the NASA Space Transportation Programs Office. The purpose of the process is to provide a repeatable and auditable basis for selecting technology investments to enable achievement of NASA's strategic space transportation objectives. The paper describes the current multilevel process and supporting software tool that has been developed. Technologies are prioritized across system applications to produce integrated portfolios for recommended funding. An example application of the process to the assessment of launch vehicle propulsion technologies is described and illustrated. The methodologies discussed in the paper are expected to help NASA and industry ensure maximum returns from technology investments under constrained budgets.

Prioritizing conservation activities using reserve site selection methods and population viability analysis.

PubMed

Newbold, Stephen C; Siikamäki, Juha

2009-10-01

In recent years a large literature on reserve site selection (RSS) has developed at the interface between ecology, operations research, and environmental economics. Reserve site selection models use numerical optimization techniques to select sites for a network of nature reserves for protecting biodiversity. In this paper, we develop a population viability analysis (PVA) model for salmon and incorporate it into an RSS framework for prioritizing conservation activities in upstream watersheds. We use spawner return data for three closely related salmon stocks in the upper Columbia River basin and estimates of the economic costs of watershed protection from NOAA to illustrate the framework. We compare the relative cost-effectiveness of five alternative watershed prioritization methods, based on various combinations of biological and economic information. Prioritization based on biological benefit-economic cost comparisons and accounting for spatial interdependencies among watersheds substantially outperforms other more heuristic methods. When using this best-performing prioritization method, spending 10% of the cost of protecting all upstream watersheds yields 79% of the biological benefits (increase in stock persistence) from protecting all watersheds, compared to between 20% and 64% for the alternative methods. We also find that prioritization based on either costs or benefits alone can lead to severe reductions in cost-effectiveness.

Characterizing the Anomalous Cognition-Emotion Interactions in Externalizing

PubMed Central

Baskin-Sommers, Arielle R.; Curtin, John J.; Larson, Christine L.; Stout, Daniel; Kiehl, Kent A.; Newman, Joseph P.

2012-01-01

Externalizing traits are characterized by exaggerated emotional (e.g., frustration, anger) and behavioral (e.g., drug seeking, reactive aggression) reactions to motivationally-significant stimuli. Explanations for this exaggerated reactivity emphasize attention, executive function, and affective processes, but the associations among these processes is rarely investigated. To examine these interactions, we measure fear potentiated startle (FPS; Experiment 1) and neural activation (Experiment 2) in an instructed fear paradigm that manipulates attentional focus, demands on executive functioning, and emotion. In both studies, exaggerated emotional reactivity associated with externalizing was specific to conditions that focused attention on threat information and placed minimal demands on executive functioning. Results suggest that a crucial cognition-emotion interaction affecting externalizing is the over-prioritization and over-allocation of attention to motivationally-significant information, which in turn, may impair executive and affective regulation. PMID:22579718

Applying a Data Stewardship Maturity Matrix to the NOAA Observing System Portfolio Integrated Assessment Process

NASA Astrophysics Data System (ADS)

Peng, G.; Austin, M.

2017-12-01

Identification and prioritization of targeted user community needs are not always considered until after data has been created and archived. Gaps in data curation and documentation in the data production and delivery phases limit data's broad utility specifically for decision makers. Expert understanding and knowledge of a particular dataset is often required as a part of the data and metadata curation process to establish the credibility of the data and support informed decision-making. To enhance curation practices, content from NOAA's Observing System Integrated Assessment (NOSIA) Value Tree, NOAA's Data Catalog/Digital Object Identifier (DOI) projects (collection-level metadata) have been integrated with Data/Stewardship Maturity Matrices (data and stewardship quality information) focused on assessment of user community needs. This results in user focused evidence based decision making tools created by NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) through identification and assessment of data content gaps related to scientific knowledge and application to key areas of societal benefit. Through enabling user need feedback from the beginning of data creation through archive allows users to determine the quality and value of data that is fit for purpose. Data gap assessment and prioritization are presented in a user-friendly way using the data stewardship maturity matrices as measurement of data management quality. These decision maker tools encourages data producers and data providers/stewards to consider users' needs prior to data creation and dissemination resulting in user driven data requirements increasing return on investment. A use case focused on need for NOAA observations linked societal benefit will be used to demonstrate the value of these tools.

Differences in Waiting List Prioritization Preferences of Occupational Therapists, Elderly People, and Persons With Disabilities: A Discrete Choice Experiment.

PubMed

Raymond, Marie-Hélène; Demers, Louise; Feldman, Debbie Ehrmann

2018-01-01

To compare the preferences of occupational therapists, elderly people, and adults with disabilities regarding prioritization criteria for occupational therapy waiting lists in home care. Discrete choice experiment survey. Survey mailed to occupational therapists working in home care and community-dwelling elderly or disabled persons. A sample (N=714) of home-based occupational therapists (n=241), elderly persons from a bank of research participants (n=226), and adults with physical disabilities recruited through community organizations (n=247). Not applicable. The dependent variable was whether the referral scenario was prioritized or not in each question. The results were analyzed through logistic regression using conditional logit models. Prioritization preferences differed between groups (P<.001). Occupational therapists most strongly prioritized people who had a few falls (odds ratio vs no falls, 48.7), whereas elderly people and adults with disabilities most strongly prioritized people who were unable to enter and exit the home (odds ratio vs no difficulty entering and exiting the home, 30.8 for elderly people and 16.8 for persons with disabilities.) CONCLUSIONS: Our results highlight the gap between the priorities of home-based occupational therapists and their target clientele. Although further inquiry is needed to inform priority setting, the findings emphasize the importance of public or patient involvement in decisions on waiting list prioritization. Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Approaches, tools and methods used for setting priorities in health research in the 21st century

PubMed Central

Yoshida, Sachiyo

2016-01-01

Background Health research is difficult to prioritize, because the number of possible competing ideas for research is large, the outcome of research is inherently uncertain, and the impact of research is difficult to predict and measure. A systematic and transparent process to assist policy makers and research funding agencies in making investment decisions is a permanent need. Methods To obtain a better understanding of the landscape of approaches, tools and methods used to prioritize health research, I conducted a methodical review using the PubMed database for the period 2001–2014. Results A total of 165 relevant studies were identified, in which health research prioritization was conducted. They most frequently used the CHNRI method (26%), followed by the Delphi method (24%), James Lind Alliance method (8%), the Combined Approach Matrix (CAM) method (2%) and the Essential National Health Research method (<1%). About 3% of studies reported no clear process and provided very little information on how priorities were set. A further 19% used a combination of expert panel interview and focus group discussion (“consultation process”) but provided few details, while a further 2% used approaches that were clearly described, but not established as a replicable method. Online surveys that were not accompanied by face–to–face meetings were used in 8% of studies, while 9% used a combination of literature review and questionnaire to scrutinise the research options for prioritization among the participating experts. Conclusion The number of priority setting exercises in health research published in PubMed–indexed journals is increasing, especially since 2010. These exercises are being conducted at a variety of levels, ranging from the global level to the level of an individual hospital. With the development of new tools and methods which have a well–defined structure – such as the CHNRI method, James Lind Alliance Method and Combined Approach Matrix – it is likely that the Delphi method and non–replicable consultation processes will gradually be replaced by these emerging tools, which offer more transparency and replicability. It is too early to say whether any single method can address the needs of most exercises conducted at different levels, or if better results may perhaps be achieved through combination of components of several methods. PMID:26401271

Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci

PubMed Central

Zhao, Yuqi; Chen, Jing; Freudenberg, Johannes M.; Meng, Qingying; Rajpal, Deepak K.; Yang, Xia

2017-01-01

Objective Recent genome-wide association studies of coronary artery disease (CAD) have revealed 58 genome-wide significant and 148 suggestive genetic loci. However, the molecular mechanisms through which they contribute to CAD and the clinical implications of these findings remain largely unknown. We aim to retrieve gene subnetworks of the 206 CAD loci and identify and prioritize candidate regulators to better understand the biological mechanisms underlying the genetic associations. Approach and Results We devised a new integrative genomics approach that incorporated (1) candidate genes from the top CAD loci, (2) the complete genetic association results from the 1000 genomes-based CAD genome-wide association studies from the Coronary Artery Disease Genome Wide Replication and Meta-Analysis Plus the Coronary Artery Disease consortium, (3) tissue-specific gene regulatory networks that depict the potential relationship and interactions between genes, and (4) tissue-specific gene expression patterns between CAD patients and controls. The networks and top-ranked regulators according to these data-driven criteria were further queried against literature, experimental evidence, and drug information to evaluate their disease relevance and potential as drug targets. Our analysis uncovered several potential novel regulators of CAD such as LUM and STAT3, which possess properties suitable as drug targets. We also revealed molecular relations and potential mechanisms through which the top CAD loci operate. Furthermore, we found that multiple CAD-relevant biological processes such as extracellular matrix, inflammatory and immune pathways, complement and coagulation cascades, and lipid metabolism interact in the CAD networks. Conclusions Our data-driven integrative genomics framework unraveled tissue-specific relations among the candidate genes of the CAD genome-wide association studies loci and prioritized novel network regulatory genes orchestrating biological processes relevant to CAD. PMID:26966275

Effects of preference heterogeneity among landowners on spatial conservation prioritization.

PubMed

Nielsen, Anne Sofie Elberg; Strange, Niels; Bruun, Hans Henrik; Jacobsen, Jette Bredahl

2017-06-01

The participation of private landowners in conservation is crucial to efficient biodiversity conservation. This is especially the case in settings where the share of private ownership is large and the economic costs associated with land acquisition are high. We used probit regression analysis and historical participation data to examine the likelihood of participation of Danish forest owners in a voluntary conservation program. We used the results to spatially predict the likelihood of participation of all forest owners in Denmark. We merged spatial data on the presence of forest, cadastral information on participation contracts, and individual-level socioeconomic information about the forest owners and their households. We included predicted participation in a probability model for species survival. Uninformed and informed (included land owner characteristics) models were then incorporated into a spatial prioritization for conservation of unmanaged forests. The choice models are based on sociodemographic data on the entire population of Danish forest owners and historical data on their participation in conservation schemes. Inclusion in the model of information on private landowners' willingness to supply land for conservation yielded at intermediate budget levels up to 30% more expected species coverage than the uninformed prioritization scheme. Our landowner-choice model provides an example of moving toward more implementable conservation planning. © 2016 Society for Conservation Biology.

Setting health priorities in a community: a case example

PubMed Central

Sousa, Fábio Alexandre Melo do Rego; Goulart, Maria José Garcia; Braga, Antonieta Manuela dos Santos; Medeiros, Clara Maria Oliveira; Rego, Débora Cristina Martins; Vieira, Flávio Garcia; Pereira, Helder José Alves da Rocha; Tavares, Helena Margarida Correia Vicente; Loura, Marta Maria Puim

2017-01-01

ABSTRACT OBJECTIVE To describe the methodology used in the process of setting health priorities for community intervention in a community of older adults. METHODS Based on the results of a health diagnosis related to active aging, a prioritization process was conceived to select the priority intervention problem. The process comprised four successive phases of problem analysis and classification: (1) grouping by level of similarity, (2) classification according to epidemiological criteria, (3) ordering by experts, and (4) application of the Hanlon method. These stages combined, in an integrated manner, the views of health team professionals, community nursing and gerontology experts, and the actual community. RESULTS The first stage grouped the identified problems by level of similarity, comprising a body of 19 issues for analysis. In the second stage these problems were classified by the health team members by epidemiological criteria (size, vulnerability, and transcendence). The nine most relevant problems resulting from the second stage of the process were submitted to expert analysis and the five most pertinent problems were selected. The last step identified the priority issue for intervention in this specific community with the participation of formal and informal community leaders: Low Social Interaction in Community Participation. CONCLUSIONS The prioritization process is a key step in health planning, enabling the identification of priority problems to intervene in a given community at a given time. There are no default formulas for selecting priority issues. It is up to each community intervention team to define its own process with different methods/techniques that allow the identification of and intervention in needs classified as priority by the community. PMID:28273229

76 FR 18399 - Changes To Implement the Prioritized Examination Track (Track I) of the Enhanced Examination...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-04-04

... questioned whether the processing fee was required only if early publication was requested. Response: Both... fee for requesting early publication. Comment 5: A few comments indicated that the fee for prioritized... applicant being unable to amend the claims to place them in independent form after a final rejection where...

Obesity services planning framework for interprofessional primary care organizations.

PubMed

Brauer, Paula; Royall, Dawna; Dwyer, John; Edwards, A Michelle; Hussey, Tracy; Kates, Nick; Smith, Heidi; Kirkconnell, Ross

2017-03-01

Aim We report on a formative project to develop an organization-level planning framework for obesity prevention and management services. It is common when developing new services to first develop a logic model outlining expected outcomes and key processes. This can be onerous for single primary care organizations, especially for complex conditions like obesity. The initial draft was developed by the research team, based on results from provider and patient focus groups in one large Family Health Team (FHT) in Ontario. This draft was reviewed and activities prioritized by 20 FHTs using a moderated electronic consensus process. A national panel then reviewed the draft. Findings Providers identified five main target groups: pregnancy to 2, 3-12, 13-18, 18+ years at health risk, and 18+ with complex care needs. Desired outcomes were identified and activities were prioritized under categories: raising awareness (eg, providing information and resources on weight-health), identification and initial management (eg, wellness care), follow-up management (eg, group programs), expanded services (eg, availability of team services), and practice initiatives (eg, interprofessional education). Overall, there was strong support for raising awareness by providing information on the weight-health connection and on community services. There was also strong support for growth assessment in pediatric care. In adults, there was strong support for wellness care/health check visits and episodic care to identify people for interventions, for group programs, and for additional provider education. Joint development by different teams proved useful for consensus on outcomes and for ensuring relevancy across practices. While priorities will vary depending on local context, the basic descriptions of care processes were endorsed by reviewers. Key next steps are to trial the use of the framework and for further implementation studies to find optimally effective approaches for obesity prevention and management across the lifespan.

A Vulnerability Assessment of 300 Species in Florida: Threats from Sea Level Rise, Land Use, and Climate Change

PubMed Central

Reece, Joshua Steven; Noss, Reed F.; Oetting, Jon; Hoctor, Tom; Volk, Michael

2013-01-01

Species face many threats, including accelerated climate change, sea level rise, and conversion and degradation of habitat from human land uses. Vulnerability assessments and prioritization protocols have been proposed to assess these threats, often in combination with information such as species rarity; ecological, evolutionary or economic value; and likelihood of success. Nevertheless, few vulnerability assessments or prioritization protocols simultaneously account for multiple threats or conservation values. We applied a novel vulnerability assessment tool, the Standardized Index of Vulnerability and Value, to assess the conservation priority of 300 species of plants and animals in Florida given projections of climate change, human land-use patterns, and sea level rise by the year 2100. We account for multiple sources of uncertainty and prioritize species under five different systems of value, ranging from a primary emphasis on vulnerability to threats to an emphasis on metrics of conservation value such as phylogenetic distinctiveness. Our results reveal remarkable consistency in the prioritization of species across different conservation value systems. Species of high priority include the Miami blue butterfly (Cyclargus thomasi bethunebakeri), Key tree cactus (Pilosocereus robinii), Florida duskywing butterfly (Ephyriades brunnea floridensis), and Key deer (Odocoileus virginianus clavium). We also identify sources of uncertainty and the types of life history information consistently missing across taxonomic groups. This study characterizes the vulnerabilities to major threats of a broad swath of Florida’s biodiversity and provides a system for prioritizing conservation efforts that is quantitative, flexible, and free from hidden value judgments. PMID:24260447

Prioritizing Environmental Risk of Prescription Pharmaceuticals

PubMed Central

Dong, Zhao; Senn, David B.; Moran, Rebecca E.

2015-01-01

Low levels of pharmaceutical compounds have been detected in aquatic environments worldwide, but their human and ecological health risks associated with low dose environmental exposure is largely unknown due to the large number of these compounds and a lack of information. Therefore prioritization and ranking methods are needed for screening target compounds for research and risk assessment. Previous efforts to rank pharmaceutical compounds have often focused on occurrence data and have paid less attention to removal mechanisms such as human metabolism. This study proposes a simple prioritization approach based on number of prescriptions and toxicity information, accounting for metabolism and wastewater treatment removal, and can be applied to unmeasured compounds. The approach was performed on the 200 most-prescribed drugs in the U.S. in 2009. Our results showed that under-studied compounds such as levothyroxine and montelukast sodium received the highest scores, suggesting the importance of removal mechanisms in influencing the ranking, and the need for future environmental research to include other less-studied but potentially harmful pharmaceutical compounds. PMID:22813724

Developmental changes in the primacy of facial cues for emotion recognition.

PubMed

Leitzke, Brian T; Pollak, Seth D

2016-04-01

There have been long-standing differences of opinion regarding the influence of the face relative to that of contextual information on how individuals process and judge facial expressions of emotion. However, developmental changes in how individuals use such information have remained largely unexplored and could be informative in attempting to reconcile these opposing views. The current study tested for age-related differences in how individuals prioritize viewing emotional faces versus contexts when making emotion judgments. To do so, we asked 4-, 8-, and 12-year-old children as well as college students to categorize facial expressions of emotion that were presented with scenes that were either congruent or incongruent with the facial displays. During this time, we recorded participants' gaze patterns via eye tracking. College students directed their visual attention primarily to the face, regardless of contextual information. Children, however, divided their attention between both the face and the context as sources of emotional information depending on the valence of the context. These findings reveal a developmental shift in how individuals process and integrate emotional cues. (c) 2016 APA, all rights reserved).

Inheritance-mode specific pathogenicity prioritization (ISPP) for human protein coding genes.

PubMed

Hsu, Jacob Shujui; Kwan, Johnny S H; Pan, Zhicheng; Garcia-Barcelo, Maria-Mercè; Sham, Pak Chung; Li, Miaoxin

2016-10-15

Exome sequencing studies have facilitated the detection of causal genetic variants in yet-unsolved Mendelian diseases. However, the identification of disease causal genes among a list of candidates in an exome sequencing study is still not fully settled, and it is often difficult to prioritize candidate genes for follow-up studies. The inheritance mode provides crucial information for understanding Mendelian diseases, but none of the existing gene prioritization tools fully utilize this information. We examined the characteristics of Mendelian disease genes under different inheritance modes. The results suggest that Mendelian disease genes with autosomal dominant (AD) inheritance mode are more haploinsufficiency and de novo mutation sensitive, whereas those autosomal recessive (AR) genes have significantly more non-synonymous variants and regulatory transcript isoforms. In addition, the X-linked (XL) Mendelian disease genes have fewer non-synonymous and synonymous variants. As a result, we derived a new scoring system for prioritizing candidate genes for Mendelian diseases according to the inheritance mode. Our scoring system assigned to each annotated protein-coding gene (N = 18 859) three pathogenic scores according to the inheritance mode (AD, AR and XL). This inheritance mode-specific framework achieved higher accuracy (area under curve  = 0.84) in XL mode. The inheritance-mode specific pathogenicity prioritization (ISPP) outperformed other well-known methods including Haploinsufficiency, Recessive, Network centrality, Genic Intolerance, Gene Damage Index and Gene Constraint scores. This systematic study suggests that genes manifesting disease inheritance modes tend to have unique characteristics. ISPP is included in KGGSeq v1.0 (http://grass.cgs.hku.hk/limx/kggseq/), and source code is available from (https://github.com/jacobhsu35/ISPP.git). mxli@hku.hkSupplementary information: Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

The global status of freshwater fish age validation studies and a prioritization framework for future research

USGS Publications Warehouse

Pope, Kevin L.; Hamel, Martin J.; Pegg, Mark A.; Spurgeon, Jonathan J.

2016-01-01

Age information derived from calcified structures is commonly used to estimate recruitment, growth, and mortality for fish populations. Validation of daily or annual marks on age structures is often assumed, presumably due to a lack of general knowledge concerning the status of age validation studies. Therefore, the current status of freshwater fish age validation studies was summarized to show where additional effort is needed, and increase the accessibility of validation studies to researchers. In total, 1351 original peer-reviewed articles were reviewed from freshwater systems that studied age in fish. Periodicity and age validation studies were found for 88 freshwater species comprising 21 fish families. The number of age validation studies has increased over the last 30 years following previous calls for more research; however, few species have validated structures spanning all life stages. In addition, few fishes of conservation concern have validated ageing structures. A prioritization framework, using a combination of eight characteristics, is offered to direct future age validation studies and close the validation information gap. Additional study, using the offered prioritization framework, and increased availability of published studies that incorporate uncertainty when presenting research results dealing with age information are needed.

Keeping All the PIECES: Phylogenetically Informed Ex Situ Conservation of Endangered Species.

PubMed

Larkin, Daniel J; Jacobi, Sarah K; Hipp, Andrew L; Kramer, Andrea T

2016-01-01

Ex situ conservation in germplasm and living collections is a major focus of global plant conservation strategies. Prioritizing species for ex situ collection is a necessary component of this effort for which sound strategies are needed. Phylogenetic considerations can play an important role in prioritization. Collections that are more phylogenetically diverse are likely to encompass more ecological and trait variation, and thus provide stronger conservation insurance and richer resources for future restoration efforts. However, phylogenetic criteria need to be weighed against other, potentially competing objectives. We used ex situ collection and threat rank data for North American angiosperms to investigate gaps in ex situ coverage and phylogenetic diversity of collections and to develop a flexible framework for prioritizing species across multiple objectives. We found that ex situ coverage of 18,766 North American angiosperm taxa was low with respect to the most vulnerable taxa: just 43% of vulnerable to critically imperiled taxa were in ex situ collections, far short of a year-2020 goal of 75%. In addition, species held in ex situ collections were phylogenetically clustered (P < 0.001), i.e., collections comprised less phylogenetic diversity than would be expected had species been drawn at random. These patterns support incorporating phylogenetic considerations into ex situ prioritization in a manner balanced with other criteria, such as vulnerability. To meet this need, we present the 'PIECES' index (Phylogenetically Informed Ex situ Conservation of Endangered Species). PIECES integrates phylogenetic considerations into a flexible framework for prioritizing species across competing objectives using multi-criteria decision analysis. Applying PIECES to prioritizing ex situ conservation of North American angiosperms, we show strong return on investment across multiple objectives, some of which are negatively correlated with each other. A spreadsheet-based decision support tool for North American angiosperms is provided; this tool can be customized to align with different conservation objectives.

Keeping All the PIECES: Phylogenetically Informed Ex Situ Conservation of Endangered Species

PubMed Central

Larkin, Daniel J.; Jacobi, Sarah K.; Hipp, Andrew L.; Kramer, Andrea T.

2016-01-01

Ex situ conservation in germplasm and living collections is a major focus of global plant conservation strategies. Prioritizing species for ex situ collection is a necessary component of this effort for which sound strategies are needed. Phylogenetic considerations can play an important role in prioritization. Collections that are more phylogenetically diverse are likely to encompass more ecological and trait variation, and thus provide stronger conservation insurance and richer resources for future restoration efforts. However, phylogenetic criteria need to be weighed against other, potentially competing objectives. We used ex situ collection and threat rank data for North American angiosperms to investigate gaps in ex situ coverage and phylogenetic diversity of collections and to develop a flexible framework for prioritizing species across multiple objectives. We found that ex situ coverage of 18,766 North American angiosperm taxa was low with respect to the most vulnerable taxa: just 43% of vulnerable to critically imperiled taxa were in ex situ collections, far short of a year-2020 goal of 75%. In addition, species held in ex situ collections were phylogenetically clustered (P < 0.001), i.e., collections comprised less phylogenetic diversity than would be expected had species been drawn at random. These patterns support incorporating phylogenetic considerations into ex situ prioritization in a manner balanced with other criteria, such as vulnerability. To meet this need, we present the ‘PIECES’ index (Phylogenetically Informed Ex situ Conservation of Endangered Species). PIECES integrates phylogenetic considerations into a flexible framework for prioritizing species across competing objectives using multi-criteria decision analysis. Applying PIECES to prioritizing ex situ conservation of North American angiosperms, we show strong return on investment across multiple objectives, some of which are negatively correlated with each other. A spreadsheet-based decision support tool for North American angiosperms is provided; this tool can be customized to align with different conservation objectives. PMID:27257671

Applying Costs, Risks and Values Evaluation (CRAVE) methodology to Engineering Support Request (ESR) prioritization

NASA Technical Reports Server (NTRS)

Joglekar, Prafulla N.

1994-01-01

Given limited budget, the problem of prioritization among Engineering Support Requests (ESR's) with varied sizes, shapes, and colors is a difficult one. At the Kennedy Space Center (KSC), the recently developed 4-Matrix (4-M) method represents a step in the right direction as it attempts to combine the traditional criteria of technical merits only with the new concern for cost-effectiveness. However, the 4-M method was not adequately successful in the actual prioritization of ESRs for the fiscal year 1995 (FY95). This research identifies a number of design issues that should help us to develop better methods. It emphasizes that given the variety and diversity of ESR's one should not expect that a single method could help in the assessment of all ESR's. One conclusion is that a methodology such as Costs, Risks, and Values Evaluation (CRAVE) should be adopted. It also is clear that the development of methods such as 4-M requires input not only from engineers with technical expertise in ESR's but also from personnel with adequate background in the theory and practice of cost-effectiveness analysis. At KSC, ESR prioritization is one part of the Ground Support Working Teams (GSWT) Integration Process. It was discovered that the more important barriers to the incorporation of cost-effectiveness considerations in ESR prioritization lie in this process. The culture of integration, and the corresponding structure of review by a committee of peers, is not conducive to the analysis and confrontation necessary in the assessment and prioritization of ESR's. Without assistance from appropriately trained analysts charged with the responsibility to analyze and be confrontational about each ESR, the GSWT steering committee will continue to make its decisions based on incomplete understanding, inconsistent numbers, and at times, colored facts. The current organizational separation of the prioritization and the funding processes is also identified as an important barrier to the pursuit of cost-effectiveness. Perhaps the greatest barrier is that, at the working level, KSC's culture is so preoccupied with technical concerns that it seems almost oblivious to any cost concerns, let alone cost-effectiveness concerns. It is recommended that we must urgently begin to change that culture and seek a better balance between these two concerns.

22 CFR 9.11 - Systematic declassification review.

Code of Federal Regulations, 2011 CFR

2011-04-01

... Section 9.11 Foreign Relations DEPARTMENT OF STATE GENERAL SECURITY INFORMATION REGULATIONS § 9.11 Systematic declassification review. The Information and Privacy Coordinator shall be responsible for... Information and Privacy Coordinator shall prioritize such review on the basis of researcher interest and the...

Expert system application for prioritizing preventive actions for shift work: shift expert.

PubMed

Esen, Hatice; Hatipoğlu, Tuğçen; Cihan, Ahmet; Fiğlali, Nilgün

2017-09-19

Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.

Prioritizing chronic obstructive pulmonary disease (COPD) candidate genes in COPD-related networks

PubMed Central

Zhang, Yihua; Li, Wan; Feng, Yuyan; Guo, Shanshan; Zhao, Xilei; Wang, Yahui; He, Yuehan; He, Weiming; Chen, Lina

2017-01-01

Chronic obstructive pulmonary disease (COPD) is a multi-factor disease, which could be caused by many factors, including disturbances of metabolism and protein-protein interactions (PPIs). In this paper, a weighted COPD-related metabolic network and a weighted COPD-related PPI network were constructed base on COPD disease genes and functional information. Candidate genes in these weighted COPD-related networks were prioritized by making use of a gene prioritization method, respectively. Literature review and functional enrichment analysis of the top 100 genes in these two networks suggested the correlation of COPD and these genes. The performance of our gene prioritization method was superior to that of ToppGene and ToppNet for genes from the COPD-related metabolic network or the COPD-related PPI network after assessing using leave-one-out cross-validation, literature validation and functional enrichment analysis. The top-ranked genes prioritized from COPD-related metabolic and PPI networks could promote the better understanding about the molecular mechanism of this disease from different perspectives. The top 100 genes in COPD-related metabolic network or COPD-related PPI network might be potential markers for the diagnosis and treatment of COPD. PMID:29262568

Prioritizing chronic obstructive pulmonary disease (COPD) candidate genes in COPD-related networks.

PubMed

Zhang, Yihua; Li, Wan; Feng, Yuyan; Guo, Shanshan; Zhao, Xilei; Wang, Yahui; He, Yuehan; He, Weiming; Chen, Lina

2017-11-28

Chronic obstructive pulmonary disease (COPD) is a multi-factor disease, which could be caused by many factors, including disturbances of metabolism and protein-protein interactions (PPIs). In this paper, a weighted COPD-related metabolic network and a weighted COPD-related PPI network were constructed base on COPD disease genes and functional information. Candidate genes in these weighted COPD-related networks were prioritized by making use of a gene prioritization method, respectively. Literature review and functional enrichment analysis of the top 100 genes in these two networks suggested the correlation of COPD and these genes. The performance of our gene prioritization method was superior to that of ToppGene and ToppNet for genes from the COPD-related metabolic network or the COPD-related PPI network after assessing using leave-one-out cross-validation, literature validation and functional enrichment analysis. The top-ranked genes prioritized from COPD-related metabolic and PPI networks could promote the better understanding about the molecular mechanism of this disease from different perspectives. The top 100 genes in COPD-related metabolic network or COPD-related PPI network might be potential markers for the diagnosis and treatment of COPD.

Setting health priorities in a community: a case example.

PubMed

Sousa, Fábio Alexandre Melo do Rego; Goulart, Maria José Garcia; Braga, Antonieta Manuela Dos Santos; Medeiros, Clara Maria Oliveira; Rego, Débora Cristina Martins; Vieira, Flávio Garcia; Pereira, Helder José Alves da Rocha; Tavares, Helena Margarida Correia Vicente; Loura, Marta Maria Puim

2017-03-02

To describe the methodology used in the process of setting health priorities for community intervention in a community of older adults. Based on the results of a health diagnosis related to active aging, a prioritization process was conceived to select the priority intervention problem. The process comprised four successive phases of problem analysis and classification: (1) grouping by level of similarity, (2) classification according to epidemiological criteria, (3) ordering by experts, and (4) application of the Hanlon method. These stages combined, in an integrated manner, the views of health team professionals, community nursing and gerontology experts, and the actual community. The first stage grouped the identified problems by level of similarity, comprising a body of 19 issues for analysis. In the second stage these problems were classified by the health team members by epidemiological criteria (size, vulnerability, and transcendence). The nine most relevant problems resulting from the second stage of the process were submitted to expert analysis and the five most pertinent problems were selected. The last step identified the priority issue for intervention in this specific community with the participation of formal and informal community leaders: Low Social Interaction in Community Participation. The prioritization process is a key step in health planning, enabling the identification of priority problems to intervene in a given community at a given time. There are no default formulas for selecting priority issues. It is up to each community intervention team to define its own process with different methods/techniques that allow the identification of and intervention in needs classified as priority by the community. Descrever a metodologia utilizada no processo de estabelecimento de prioridades em saúde para intervenção comunitária, numa comunidade idosa. Partindo dos resultados de um diagnóstico de saúde no âmbito da promoção do envelhecimento ativo, concebeu-se um processo de estabelecimento de prioridades a fim de selecionar o problema prioritário para intervenção. O processo integrou quatro etapas sucessivas de análise e classificação dos problemas: (1) agrupamento por nível de similitude, (2) classificação de acordo com critérios epidemiológicos, (3) ordenação por peritos e (4) aplicação do método de Hanlon. No decurso destas etapas, combinaram-se, de forma integrada, as perspetivas dos profissionais da equipe de saúde, de peritos em enfermagem comunitária e gerontologia e da própria comunidade. Na primeira etapa, agruparam-se por nível de similitude os problemas identificados, constituindo-se um corpo de 19 problemas para análise. Na segunda, esses problemas foram classificados pelos elementos da equipe de saúde, mediante a aplicação de critérios de cariz epidemiológico (magnitude, vulnerabilidade e transcendência). Os nove problemas mais relevantes resultantes da operacionalização da segunda etapa do processo foram submetidos a análise por peritos, e selecionados os cinco problemas com maior pertinência de atuação. Na última etapa, com recurso à participação de líderes formais e informais da comunidade, identificou-se o problema prioritário para intervenção nessa comunidade específica: a Baixa Interação Social na Participação Comunitária. O processo de estabelecimento de prioridades é uma etapa fundamental do planejamento em saúde, permitindo identificar os problemas prioritários a intervir numa determinada comunidade e num determinado momento. Não existem fórmulas predeterminadas para a seleção de problemas prioritários. Cabe a cada equipe de intervenção comunitária a definição de um processo próprio com diferentes métodos/técnicas que possibilitem a identificação e intervenção em necessidades classificadas como prioritárias pela comunidade.

An unsupervised learning approach to find ovarian cancer genes through integration of biological data

PubMed Central

2015-01-01

Cancer is a disease characterized largely by the accumulation of out-of-control somatic mutations during the lifetime of a patient. Distinguishing driver mutations from passenger mutations has posed a challenge in modern cancer research. With the advanced development of microarray experiments and clinical studies, a large numbers of candidate cancer genes have been extracted and distinguishing informative genes out of them is essential. As a matter of fact, we proposed to find the informative genes for cancer by using mutation data from ovarian cancers in our framework. In our model we utilized the patient gene mutation profile, gene expression data and gene gene interactions network to construct a graphical representation of genes and patients. Markov processes for mutation and patients are triggered separately. After this process, cancer genes are prioritized automatically by examining their scores at their stationary distributions in the eigenvector. Extensive experiments demonstrate that the integration of heterogeneous sources of information is essential in finding important cancer genes. PMID:26328548

Exploring the process of capacity-building among community-based health promotion workers in Alberta, Canada.

PubMed

Montemurro, Genevieve R; Raine, Kim D; Nykiforuk, Candace I J; Mayan, Maria

2014-09-01

Community capacity-building is a central element to health promotion. While capacity-building features, domains and relationships to program sustainability have been well examined, information on the process of capacity-building as experienced by practitioners is needed. This study examined this process as experienced by coordinators working within a community-based chronic disease prevention project implemented in four communities in Alberta (Canada) from 2005-2010 using a case study approach with a mixed-method design. Data collection involved semi-structured interviews, a focus group and program documents tracking coordinator activity. Qualitative analysis followed the constant comparative method using open, axial and selective coding. Quantitative data were analyzed for frequency of major activity distribution. Capacity-building process involves distinct stages of networking, information exchange, partnering, prioritizing, planning/implementing and supporting/ sustaining. Stages are incremental though not always linear. Contextual factors exert a great influence on the process. Implications for research, practice and policy are discussed. © The Author (2013). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Compass 2010 data analysis and reporting.

DOT National Transportation Integrated Search

2012-02-01

The Compass Reports created in this project are issued annually to provide information on the maintenance condition of : Wisconsins highways. The information in these reports is being used to help understand trends and conditions, : prioritize res...

Compass 2009 data analysis and reporting

DOT National Transportation Integrated Search

2011-02-01

The Compass Reports created in this project are issued annually to provide information on the maintenance condition of Wisconsins highways. The information in these reports is being used to help understand trends and conditions, prioritize resourc...

The complexity of earth observation valuation: Modeling the patterns and processes of agricultural production and groundwater quality to construct a production possibilities frontier

NASA Astrophysics Data System (ADS)

Forney, W.; Raunikar, R. P.; Bernknopf, R.; Mishra, S.

2012-12-01

A production possibilities frontier (PPF) is a graph comparing the production interdependencies for two commodities. In this case, the commodities are defined as the ecosystem services of agricultural production and groundwater quality. This presentation focuses on the refinement of techniques used in an application to estimate the value of remote sensing information. Value of information focuses on the use of uncertain and varying qualities of information within a specific decision-making context for a certain application, which in this case included land use, biogeochemical, hydrogeologic, economic and geospatial data and models. The refined techniques include deriving alternate patterns and processes of ecosystem functions, new estimates of ecosystem service values to construct a PPF, and the extension of this work into decision support systems. We have coupled earth observations of agricultural production with groundwater quality measurements to estimate the value of remote sensing information in northeastern Iowa to be 857M ± 198M (at the 2010 price level) per year. We will present an improved method for modeling crop rotation patterns to include multiple years of rotation, reduction in the assumptions associated with optimal land use allocations, and prioritized improvement of the resolution of input data (for example, soil resources and topography). The prioritization focuses on watersheds that were identified at a coarse-scale of analysis to have higher intensities of agricultural production and lower probabilities of groundwater survivability (in other words, remaining below a regulatory threshold for nitrate pollution) over time, and thus require finer-scaled modeling and analysis. These improved techniques and the simulation of certain scale-dependent policy and management actions, which trade-off the objectives of optimizing crop value versus maintaining potable groundwater, and provide new estimates for the empirical values of the PPF. The calculation of a PPF in this way provides a decision maker with a tool to consider the ramifications of different policies, management practices and regional objectives.

Place prioritization for biodiversity content.

PubMed

Sarkar, Sahotra; Aggarwal, Anshu; Garson, Justin; Margules, Chris R; Zeidler, Juliane

2002-07-01

The prioritization of places on the basis of biodiversity content is part of any systematic biodiversity conservation planning process. The place prioritization procedure implemented in the ResNet software package is described. This procedure is primarily based on the principles of rarity and complementarity. Application of the procedure is demonstrated with two analyses, one data set consisting of the distributions of termite genera in Namibia, and the other consisting of the distributions of bird species in the Islas Malvinas/Falkland Islands. The attributes that data sets should have for the effective and reliable application of such procedures are discussed. The procedure used here is compared to some others that are also currently in use.

Automated Recognition of Geologically Significant Shapes in MER PANCAM and MI Images

NASA Technical Reports Server (NTRS)

Morris, Robert; Shipman, Mark; Roush, Ted L.

2004-01-01

Autonomous recognition of scientifically important information provides the capability of: 1) Prioritizing data return; 2) Intelligent data compression; 3) Reactive behavior onboard robotic vehicles. Such capabilities are desirable as mission scenarios include longer durations with decreasing interaction from mission control. To address such issues, we have implemented several computer algorithms, intended to autonomously recognize morphological shapes of scientific interest within a software architecture envisioned for future rover missions. Mars Exploration Rovers (MER) instrument payloads include a Panoramic Camera (PANCAM) and Microscopic Imager (MI). These provide a unique opportunity to evaluate our algorithms when applied to data obtained from the surface of Mars. Early in the mission we applied our algorithms to images available at the mission web site (http://marsrovers.jpl.nasa.gov/gallery/images.html), even though these are not at full resolution. Some algorithms would normally use ancillary information, e.g. camera pointing and position of the sun, but these data were not readily available. The initial results of applying our algorithms to the PANCAM and MI images are encouraging. The horizon is recognized in all images containing it; such information could be used to eliminate unwanted areas from the image prior to data transmission to Earth. Additionally, several rocks were identified that represent targets for the mini-thermal emission spectrometer. Our algorithms also recognize the layers, identified by mission scientists. Such information could be used to prioritize data return or in a decision-making process regarding future rover activities. The spherules seen in MI images were also autonomously recognized. Our results indicate that reliable recognition of scientifically relevant morphologies in images is feasible.

Children's food choice process in the home environment. A qualitative descriptive study.

PubMed

Holsten, Joanna E; Deatrick, Janet A; Kumanyika, Shiriki; Pinto-Martin, Jennifer; Compher, Charlene W

2012-02-01

This qualitative descriptive study explored children's food choices in the home with particular attention to environmental influences. Semi-structured interviews were conducted with 11- to 14-year-old children (n=47) from one middle school. A data-driven content analysis using selected principles of grounded theory was performed. Children's food choices in the home emerged as a process that involved three interacting components, the child, the parent, and the food, embedded within the context of time. Children's structured activities throughout the day, week, and year provided an overall context for food choices. Parents affected children's food choices through their presence in the home, time pressure and activity prioritization, incorporation of family members' preferences, food preparation effort and skills, and financial and health concerns. Parents created food options through food purchasing and preparation and indirectly affected children's food choices by setting rules, providing information, and modeling behaviors. Children affected parents' decisions by communicating food preferences. For children, important aspects of the food itself included its availability at home and attributes related to taste, preparation, and cost. Children evaluated potential food options based on their hunger level, food preferences, time pressure and activity prioritization, food preparation effort and skills, and expected physical consequences of food. Copyright © 2011 Elsevier Ltd. All rights reserved.

Multi-sources data fusion framework for remote triage prioritization in telehealth.

PubMed

Salman, O H; Rasid, M F A; Saripan, M I; Subramaniam, S K

2014-09-01

The healthcare industry is streamlining processes to offer more timely and effective services to all patients. Computerized software algorithm and smart devices can streamline the relation between users and doctors by providing more services inside the healthcare telemonitoring systems. This paper proposes a multi-sources framework to support advanced healthcare applications. The proposed framework named Multi Sources Healthcare Architecture (MSHA) considers multi-sources: sensors (ECG, SpO2 and Blood Pressure) and text-based inputs from wireless and pervasive devices of Wireless Body Area Network. The proposed framework is used to improve the healthcare scalability efficiency by enhancing the remote triaging and remote prioritization processes for the patients. The proposed framework is also used to provide intelligent services over telemonitoring healthcare services systems by using data fusion method and prioritization technique. As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. The achievement of a high level of accuracy in the prioritization and triaging patients remotely, is set to be our main goal. Meanwhile, the role of multi sources data fusion in the telemonitoring healthcare services systems has been demonstrated. In addition to that, we discuss how the proposed framework can be applied in a healthcare telemonitoring scenario. Simulation results, for different symptoms relate to different emergency levels of heart chronic diseases, demonstrate the superiority of our algorithm compared with conventional algorithms in terms of classify and prioritize the patients remotely.

An Integrated Computerized Triage System in the Emergency Department

PubMed Central

Aronsky, Dominik; Jones, Ian; Raines, Bill; Hemphill, Robin; Mayberry, Scott R; Luther, Melissa A; Slusser, Ted

2008-01-01

Emergency department (ED) triage is a fast-paced process that prioritizes the allocation of limited health care resources to patients in greatest need. This paper describes the experiences with an integrated, computerized triage application. The system exchanges information with other information systems, including the ED patient tracking board, the longitudinal electronic medical record, the computerized provider order entry, and the medication reconciliation application. The application includes decision support capabilities such as assessing the patient’s acuity level, age-dependent alerts for vital signs, and clinical reminders. The browser-based system utilizes the institution’s controlled vocabulary, improves data completeness and quality, such as compliance with capturing required data elements and screening questions, initiates clinical processes, such as pneumococcal vaccination ordering, and reminders to start clinical pathways, issues alerts for clinical trial eligibility, and facilitates various reporting needs. The system has supported the triage documentation of >290,000 pediatric and adult patients. PMID:18999190

Scientists’ Prioritization of Communication Objectives for Public Engagement

PubMed Central

2016-01-01

Amid calls from scientific leaders for their colleagues to become more effective public communicators, this study examines the objectives that scientists’ report drive their public engagement behaviors. We explore how scientists evaluate five specific communication objectives, which include informing the public about science, exciting the public about science, strengthening the public’s trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the theory of planned behavior, and procedural justice theory to identify likely predictors of scientists' views about these communication objectives. Results show that scientists most prioritize communication designed to defend science from misinformation and educate the public about science, and least prioritize communication that seeks to build trust and establish resonance with the public. Regression analyses reveal factors associated with scientists who prioritize each of the five specific communication objectives. Our findings highlight the need for communication trainers to help scientists select specific communication objectives for particular contexts and audiences. PMID:26913869

Applying the Analytic Hierarchy Process to Oil Sands Environmental Compliance Risk Management

NASA Astrophysics Data System (ADS)

Roux, Izak Johannes, III

Oil companies in Alberta, Canada, invested $32 billion on new oil sands projects in 2013. Despite the size of this investment, there is a demonstrable deficiency in the uniformity and understanding of environmental legislation requirements that manifest into increased project compliance risks. This descriptive study developed 2 prioritized lists of environmental regulatory compliance risks and mitigation strategies and used multi-criteria decision theory for its theoretical framework. Information from compiled lists of environmental compliance risks and mitigation strategies was used to generate a specialized pairwise survey, which was piloted by 5 subject matter experts (SMEs). The survey was validated by a sample of 16 SMEs, after which the Analytic Hierarchy Process (AHP) was used to rank a total of 33 compliance risks and 12 mitigation strategy criteria. A key finding was that the AHP is a suitable tool for ranking of compliance risks and mitigation strategies. Several working hypotheses were also tested regarding how SMEs prioritized 1 compliance risk or mitigation strategy compared to another. The AHP showed that regulatory compliance, company reputation, environmental compliance, and economics ranked the highest and that a multi criteria mitigation strategy for environmental compliance ranked the highest. The study results will inform Alberta oil sands industry leaders about the ranking and utility of specific compliance risks and mitigations strategies, enabling them to focus on actions that will generate legislative and public trust. Oil sands leaders implementing a risk management program using the risks and mitigation strategies identified in this study will contribute to environmental conservation, economic growth, and positive social change.

Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology

NASA Astrophysics Data System (ADS)

Agrawal, Saurabh; Singh, Rajesh K.; Murtaza, Qasim

2016-03-01

Electronics industry is one of the fastest growing industries in the world. In India also, there are high turnovers and growing demand of electronics product especially after post liberalization in early nineties. These products generate e-waste which has become big environmental issue. Industries can handle these e-waste and product returns efficiently by developing reverse logistics (RL) system. A thorough study of critical success factors (CSFs) and their ordered implementation is essential for successful RL implementation. The aim of the study is to review the CSFs, and to prioritize them for RL implementation in Indian electronics industry. Twelve CSFs were identified through literature review, and discussion with the experts from the Indian electronics industry. Fuzzy-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach is proposed for prioritizing these CSFs. Perusal of literature indicates that fuzzy-TOPSIS has not been applied earlier for prioritization of CSFs in Indian electronics industry. Five Indian electronics companies were selected for evaluation of this methodology. Results indicate that most of the identified factors are crucial for the RL implementation. Top management awareness, resource management, economic factors, and contracts terms and conditions are top four prioritized factor, and process capabilities and skilled workers is the least prioritized factor. The findings will be useful for successful RL implementation in Indian electronics industry.

Collaborative biocuration--text-mining development task for document prioritization for curation.

PubMed

Wiegers, Thomas C; Davis, Allan Peter; Mattingly, Carolyn J

2012-01-01

The Critical Assessment of Information Extraction systems in Biology (BioCreAtIvE) challenge evaluation is a community-wide effort for evaluating text mining and information extraction systems for the biological domain. The 'BioCreative Workshop 2012' subcommittee identified three areas, or tracks, that comprised independent, but complementary aspects of data curation in which they sought community input: literature triage (Track I); curation workflow (Track II) and text mining/natural language processing (NLP) systems (Track III). Track I participants were invited to develop tools or systems that would effectively triage and prioritize articles for curation and present results in a prototype web interface. Training and test datasets were derived from the Comparative Toxicogenomics Database (CTD; http://ctdbase.org) and consisted of manuscripts from which chemical-gene-disease data were manually curated. A total of seven groups participated in Track I. For the triage component, the effectiveness of participant systems was measured by aggregate gene, disease and chemical 'named-entity recognition' (NER) across articles; the effectiveness of 'information retrieval' (IR) was also measured based on 'mean average precision' (MAP). Top recall scores for gene, disease and chemical NER were 49, 65 and 82%, respectively; the top MAP score was 80%. Each participating group also developed a prototype web interface; these interfaces were evaluated based on functionality and ease-of-use by CTD's biocuration project manager. In this article, we present a detailed description of the challenge and a summary of the results.

Determining and prioritizing competencies in the undergraduate internal medicine curriculum in Saudi Arabia.

PubMed

Almoallim, H

2011-08-01

To determine knowledge and skills competencies in internal medicine for the undergraduate curriculum in Saudi Arabia, competencies were identified based on group work utilizing common textbooks. The Delphi Technique was used as a consensus method to determine and prioritize competencies in internal medicine. A group of 20 clinicians rated the identified competencies from 0-3 (0: no need to know, 1: interesting to know, 2: should know and 3: must know). After formulating the results, a second Delphi round was conducted with 5 experts in internal medicine. A total of 1513 knowledge competencies and 189 skills competencies were determined and prioritized. The competencies corresponded to the 12 systems in internal medicine. All competencies rated 2.2-3.0 were produced separately and considered core competencies for the undergraduate internal medicine curriculum. Determining and prioritizing competencies should influence the curriculum reform process.

ToxPi GUI: an interactive visualization tool for transparent integration of data from diverse sources of evidence.

PubMed

Reif, David M; Sypa, Myroslav; Lock, Eric F; Wright, Fred A; Wilson, Ander; Cathey, Tommy; Judson, Richard R; Rusyn, Ivan

2013-02-01

Scientists and regulators are often faced with complex decisions, where use of scarce resources must be prioritized using collections of diverse information. The Toxicological Prioritization Index (ToxPi™) was developed to enable integration of multiple sources of evidence on exposure and/or safety, transformed into transparent visual rankings to facilitate decision making. The rankings and associated graphical profiles can be used to prioritize resources in various decision contexts, such as testing chemical toxicity or assessing similarity of predicted compound bioactivity profiles. The amount and types of information available to decision makers are increasing exponentially, while the complex decisions must rely on specialized domain knowledge across multiple criteria of varying importance. Thus, the ToxPi bridges a gap, combining rigorous aggregation of evidence with ease of communication to stakeholders. An interactive ToxPi graphical user interface (GUI) application has been implemented to allow straightforward decision support across a variety of decision-making contexts in environmental health. The GUI allows users to easily import and recombine data, then analyze, visualize, highlight, export and communicate ToxPi results. It also provides a statistical metric of stability for both individual ToxPi scores and relative prioritized ranks. The ToxPi GUI application, complete user manual and example data files are freely available from http://comptox.unc.edu/toxpi.php.

Engaging patients and caregivers in prioritizing symptoms impacting quality of life for Duchenne and Becker muscular dystrophy.

PubMed

Hollin, Ilene L; Peay, Holly; Fischer, Ryan; Janssen, Ellen M; Bridges, John F P

2018-05-26

Patient preference information (PPI) have an increasing role in regulatory decision-making, especially in benefit-risk assessment. PPI can also facilitate prioritization of symptoms to treat and inform meaningful selection of clinical trial endpoints. We engaged patients and caregivers to prioritize symptoms of Duchenne and Becker muscular dystrophy (DBMD) and explored preference heterogeneity. Best-worst scaling (object case) was used to assess priorities across 11 symptoms of DBMD that impact quality of life and for which there is unmet need. Respondents selected the most and least important symptoms to treat among a subset of five. Relative importance scores were estimated for each symptom, and preference heterogeneity was identified using mixed logit and latent class analysis. Respondents included patients (n = 59) and caregivers (n = 96) affected by DBMD. Results indicated that respondents prioritized "weaker heart pumping" [score = 5.13; 95% CI (4.67, 5.59)] and pulmonary symptoms: "lung infections" [3.15; (2.80, 3.50)] and "weaker ability to cough" [2.65; (2.33, 2.97)] as the most important symptoms to treat and "poor attention span" as the least important symptom to treat [- 5.23; (- 5.93, - 4.54)]. Statistically significant preference heterogeneity existed (p value < 0.001). At least two classes existed with different priorities. Priorities of the majority latent class (80%) reflected the aggregate results, whereas the minority latent class (20%) did not distinguish among pulmonary and other symptoms. Estimates of the relative importance for symptoms of Duchenne muscular dystrophy indicated that symptoms with direct links to morbidity and mortality were prioritized above other non-skeletal muscle symptoms. Findings suggested the existence of preference heterogeneity for symptoms, which may be related to symptom experience.

Developing Watershed Level Indicators for Predicting Aquatic Condition in Stream Networks

EPA Science Inventory

Landscape level information is critical for resource managers to monitor, assess and prioritize protection and restoration efforts within individual watersheds. Spatial landscape indicators incorporate information on natural infrastructure (undeveloped and vegetated riparian area...

Value of Information Evaluation using Field Data

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

Trainor-Guitton, W.

2015-06-15

Value of information (VOI) provides the ability to identify and prioritize useful information gathering for a geothermal prospect, either hydrothermal or for enhanced geothermal systems. Useful information provides a value greater than the cost of the information; wasteful information costs more than the expected value of the information. In this project we applied and refined VOI methodologies on selected geothermal prospects.

Assessment and application of national environmental databases and mapping tools at the local level to two community case studies.

PubMed

Hammond, Davyda; Conlon, Kathryn; Barzyk, Timothy; Chahine, Teresa; Zartarian, Valerie; Schultz, Brad

2011-03-01

Communities are concerned over pollution levels and seek methods to systematically identify and prioritize the environmental stressors in their communities. Geographic information system (GIS) maps of environmental information can be useful tools for communities in their assessment of environmental-pollution-related risks. Databases and mapping tools that supply community-level estimates of ambient concentrations of hazardous pollutants, risk, and potential health impacts can provide relevant information for communities to understand, identify, and prioritize potential exposures and risk from multiple sources. An assessment of existing databases and mapping tools was conducted as part of this study to explore the utility of publicly available databases, and three of these databases were selected for use in a community-level GIS mapping application. Queried data from the U.S. EPA's National-Scale Air Toxics Assessment, Air Quality System, and National Emissions Inventory were mapped at the appropriate spatial and temporal resolutions for identifying risks of exposure to air pollutants in two communities. The maps combine monitored and model-simulated pollutant and health risk estimates, along with local survey results, to assist communities with the identification of potential exposure sources and pollution hot spots. Findings from this case study analysis will provide information to advance the development of new tools to assist communities with environmental risk assessments and hazard prioritization. © 2010 Society for Risk Analysis.

Promoting meaningful use of health information technology in Israel: ministry of health vision.

PubMed

Gerber, Ayala; Topaz, Maxim Max

2014-01-01

The Ministry of Health (MOH) of Israel has overall responsibility for the healthcare system. In recent years the MOH has developed strong capabilities in the areas of technology assessment and prioritization of new technologies. Israel completed the transition to computerized medical records a decade ago in most care settings; however, the processes in Israel was spontaneous, without government control and standards settings, therefore large variations among systems and among organizations were created. Currently, the main challenge is to convert the information scattered in different systems, to organized, visible information and to make it available to various levels in health management. The MOH's solution is of implementing a selected information system from a specific vendor, at all the hospitals and all HMO's clinics, in order to achieve interoperability. The sys-tem will enable access to the patient's medical record history from any location.

Measuring Down: Evaluating Digital Storytelling as a Process for Narrative Health Promotion.

PubMed

Gubrium, Aline C; Fiddian-Green, Alice; Lowe, Sarah; DiFulvio, Gloria; Del Toro-Mejías, Lizbeth

2016-05-15

Digital storytelling (DST) engages participants in a group-based process to create and share narrative accounts of life events. We present key evaluation findings of a 2-year, mixed-methods study that focused on effects of participating in the DST process on young Puerto Rican Latina's self-esteem, social support, empowerment, and sexual attitudes and behaviors. Quantitative results did not show significant changes in the expected outcomes. However, in our qualitative findings we identified several ways in which the DST made positive, health-bearing effects. We argue for the importance of "measuring down" to reflect the locally grounded, felt experiences of participants who engage in the process, as current quantitative scales do not "measure up" to accurately capture these effects. We end by suggesting the need to develop mixed-methods, culturally relevant, and sensitive evaluation tools that prioritize process effects as they inform intervention and health promotion. © The Author(s) 2016.

Behavioral science priorities in residency education: The perspective of practicing family physicians.

PubMed

Brandt-Kreutz, Richard L; Ferguson, Kyle E; Sawyer, Devin

2015-12-01

The family medicine residency behavioral science curriculum is more effective if prioritized to match what is needed in practice after graduation. Two prior studies (Kendall, Marvel, & Cruickshank, 2003; Marvel & Major, 1999) identified physician priorities for behavioral science education. The present study extends this research to include topics from more recent curriculum guidelines and examines the extent to which size of community and perceived competence correlate with prioritization of Washington state family physicians. Practicing family physicians in Washington state (N = 2,270) were invited to complete the survey. Respondents provided demographic and practice information. Respondents then rated, on a scale from 1 to 4, 35 behavioral science topics on 2 different scales including (a) priority to be given in residency education and (b) perceived level of competence. A total of 486 responded and 430 completed both priority and competence scales for a response rate of 19%. The top half of 35 topics of the present study included the top 13 topics found in the 2 prior studies. Priority and competence scales were moderately correlated (r = .48, n = 430, p = .001). There was a small significant correlation with size of community and priority ratings (r = .13, n = 435, p = .006). Family physicians in Washington state prioritize behavioral science topics in residency education similar to Colorado and Mississippi. The results of this study support recent ACGME guidelines, in that training should focus on common psychiatric illnesses, including depression and anxiety, and interpersonal processes. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Development of a data warehouse at an academic health system: knowing a place for the first time.

PubMed

Dewitt, Jocelyn G; Hampton, Philip M

2005-11-01

In 1998, the University of Michigan Health System embarked upon the design, development, and implementation of an enterprise-wide data warehouse, intending to use prioritized business questions to drive its design and implementation. Because of the decentralized nature of the academic health system and the development team's inability to identify and prioritize those institutional business questions, however, a bottom-up approach was used to develop the enterprise-wide data warehouse. Specific important data sets were identified for inclusion, and the technical team designed the system with an enterprise view and architecture rather than as a series of data marts. Using this incremental approach of adding data sets, institutional leaders were able to experience and then further define successful use of the integrated data made available to them. Even as requests for the use and expansion of the data warehouse outstrip the resources assigned for support, the data warehouse has become an integral component of the institution's information management strategy. The authors discuss the approach, process, current status, and successes and failures of the data warehouse.

Split diversity in constrained conservation prioritization using integer linear programming.

PubMed

Chernomor, Olga; Minh, Bui Quang; Forest, Félix; Klaere, Steffen; Ingram, Travis; Henzinger, Monika; von Haeseler, Arndt

2015-01-01

Phylogenetic diversity (PD) is a measure of biodiversity based on the evolutionary history of species. Here, we discuss several optimization problems related to the use of PD, and the more general measure split diversity (SD), in conservation prioritization.Depending on the conservation goal and the information available about species, one can construct optimization routines that incorporate various conservation constraints. We demonstrate how this information can be used to select sets of species for conservation action. Specifically, we discuss the use of species' geographic distributions, the choice of candidates under economic pressure, and the use of predator-prey interactions between the species in a community to define viability constraints.Despite such optimization problems falling into the area of NP hard problems, it is possible to solve them in a reasonable amount of time using integer programming. We apply integer linear programming to a variety of models for conservation prioritization that incorporate the SD measure.We exemplarily show the results for two data sets: the Cape region of South Africa and a Caribbean coral reef community. Finally, we provide user-friendly software at http://www.cibiv.at/software/pda.

The Cochrane Library review titles that are important to users of health care, a Cochrane Consumer Network project

PubMed Central

Wale, Janet L.; Belizán, María; Nadel, Jane; Jeffrey, Claire; Vij, Sita L.

2011-01-01

Abstract Background  The Cochrane Consumer Network is an internet‐based community of international users of health care contributing to the work of The Cochrane Collaboration, whose mission is to inform healthcare decision making through development of systematic reviews of best evidence on healthcare interventions. Objective  To prioritize existing review titles listed on The Cochrane Library from a healthcare user perspective, with particular emphasis on patients, carers and health consumers. Design  An online survey was developed and after piloting was made available internationally. The broad dissemination strategy targeted Consumer Network members and Cochrane Review Group editorial staff to identify champions who notified patient support groups and participated in snowballing. The first part of the survey defined criteria that could be applied to review titles and asked survey respondents to rank them. The second part asked respondents to select a health area and prioritize review titles that were of importance to them. Each health area corresponded to a Cochrane Review Group. Results and discussion  Sufficient responses were obtained from 522 valid responses to prioritize review topics in 19 health areas. A total of 321 respondents completed the titles assessment. The types of prioritized interventions were determined by the health area. An important observation was the emphasis on lifestyle and non‐medication therapies in many of the included health areas. The clearest exception to this broad observation was where acute care is required such as antibiotics for acute respiratory tract and HIV‐associated infections and for cardiac conditions. For some cancers, advanced cancer interventions were prioritized. The most important criteria were for the title to convey a clear meaning and the title conveyed that the review would have an impact on health and well‐being. The least important criteria were that the topic was newsworthy or prioritized in the healthcare system. Conclusion  This project was able to identify priority Cochrane review topics for users of health care in 19 of the 50 areas of health care covered by The Cochrane Collaboration. Reviews addressing lifestyle and non‐medical interventions were strongly represented in the prioritized review titles. These findings highlight the importance of developing readable, informative lay summaries to support evidence‐based decision making by healthcare users. PMID:21895902

Targeted selection of brownfields from portfolios for sustainable regeneration: User experiences from five cases testing the Timbre Brownfield Prioritization Tool.

PubMed

Bartke, Stephan; Martinát, Stanislav; Klusáček, Petr; Pizzol, Lisa; Alexandrescu, Filip; Frantál, Bohumil; Critto, Andrea; Zabeo, Alex

2016-12-15

Prioritizing brownfields for redevelopment in real estate portfolios can contribute to more sustainable regeneration and land management. Owners of large real estate and brownfield portfolios are challenged to allocate their limited resources to the development of the most critical or promising sites, in terms of time and cost efficiency. Authorities worried about the negative impacts of brownfields - in particular in the case of potential contamination - on the environment and society also need to prioritize their resources to those brownfields that most urgently deserve attention and intervention. Yet, numerous factors have to be considered for prioritizing actions, in particular when adhering to sustainability principles. Several multiple-criteria decision analysis (MCDA) approaches and tools have been suggested in order to support these actors in managing their brownfield portfolios. Based on lessons learned from the literature on success factors, sustainability assessment and MCDA approaches, researchers from a recent EU project have developed the web-based Timbre Brownfield Prioritization Tool (TBPT). It facilitates assessment and prioritization of a portfolio of sites on the basis of the probability of successful and sustainable regeneration or according to individually specified objectives. This paper introduces the challenges of brownfield portfolio management in general and reports about the application of the TBPT in five cases: practical test-uses by two large institutional land owners from Germany, a local and a regional administrative body from the Czech Republic, and an expert from a national environmental authority from Romania. Based on literature requirements for sustainability assessment tools and on the end-users' feedbacks from the practical tests, we discuss the TBPT's strengths and weaknesses in order to inform and give recommendations for future development of prioritization tools. Copyright © 2016 Elsevier Ltd. All rights reserved.

Effectiveness of a decision-training aid on referral prioritization capacity: a randomized controlled trial.

PubMed

Harries, Priscilla; Tomlinson, Christopher; Notley, Elizabeth; Davies, Miranda; Gilhooly, Kenneth

2012-01-01

In the community mental health field, occupational therapy students lack the capacity to prioritize referrals effectively. The purpose of this study was to test the effectiveness of a clinical decision-training aid on referral prioritization capacity. A double-blind, parallel-group, randomized controlled trial was conducted using a judgment analysis approach. Each participant used the World Wide Web to prioritize referral sets at baseline, immediate posttest, and 2-wk follow-up. The intervention group was provided with training after baseline testing; control group was purely given instructions to continue with the task. One hundred sixty-five students were randomly allocated to intervention (n = 87) or control (n = 81). Intervention. Written and graphical descriptions were given of an expert consensus standard explaining how referral information should be used to prioritize referrals. Participants' prioritization ratings were correlated with the experts' ratings of the same referrals at each stage of testing, as well as to examine the effect on mean group scores, regression weights, and the lens model indices. At baseline, no differences were found between control and intervention on rating capacity or demographic characteristics. Comparison of the difference in mean correlation baseline scores of the control and intervention group compared with immediate posttest showed a statistically significant result that was maintained at 2-wk follow-up. The effect size was classified as large. At immediate posttest and follow-up, the intervention group improved rating capacity, whereas the control group's capacity remained poor. The results of this study indicate that the decision-training aid has a positive effect on referral prioritization capacity. This freely available, Web-based decision-training aid will be a valuable adjunct to the education of these novice health professionals internationally.

Science Framework for the Conservation and Restoration Strategy of the Department of the Interior, Secretarial Order 3336: Using resilience and resistance concepts to assess threats to sagebrush ecosystems and sage-grouse, prioritize conservation and restoration actions, and inform management strategies

Treesearch

Jeanne C. Chambers; Jeffrey L. Beck; Steve Campbell; John Carlson; Thomas J. Christiansen; Karen J. Clause; Michele R. Crist; Jonathan B. Dinkins; Kevin E. Doherty; Shawn Espinosa; Kathleen A. Griffin; Steven E. Hanser; Douglas W. Havlina; Kenneth F. Henke; Jacob D. Hennig; Laurie L. Kurth; Jeremy D. Maestas; Mary Manning; Kenneth E. Mayer; Brian A. Mealor; Clinton McCarthy; Mike Pellant; Marco A. Perea; Karen L. Prentice; David A. Pyke; Lief A. Wiechman; Amarina Wuenschel

2016-01-01

The Science Framework for the Conservation and Restoration Strategy of the Department of the Interior, Secretarial Order 3336 (SO 3336), Rangeland Fire Prevention, Management and Restoration, provides a strategic, multiscale approach for prioritizing areas for management and determining effective management strategies across the sagebrush biome. The emphasis of this...

77 FR 18879 - Agency Information Collection Activities: Notice of Request for Approval of a New Information...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-28

... local agencies in improving safety on local roads is critical for reducing fatalities and serious..., prioritizing, developing, and implementing safety projects on local roads. The requested information collection... agencies for road safety improvement projects. The survey will also help identify challenges and barriers...

Self-regulated learning of important information under sequential and simultaneous encoding conditions.

PubMed

Middlebrooks, Catherine D; Castel, Alan D

2018-05-01

Learners make a number of decisions when attempting to study efficiently: they must choose which information to study, for how long to study it, and whether to restudy it later. The current experiments examine whether documented impairments to self-regulated learning when studying information sequentially, as opposed to simultaneously, extend to the learning of and memory for valuable information. In Experiment 1, participants studied lists of words ranging in value from 1-10 points sequentially or simultaneously at a preset presentation rate; in Experiment 2, study was self-paced and participants could choose to restudy. Although participants prioritized high-value over low-value information, irrespective of presentation, those who studied the items simultaneously demonstrated superior value-based prioritization with respect to recall, study selections, and self-pacing. The results of the present experiments support the theory that devising, maintaining, and executing efficient study agendas is inherently different under sequential formatting than simultaneous. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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

Barr, Jonathan L.; Taira, Randal Y.; Orr, Heather M.

The purpose of this document is to describe the operating concepts, capabilities, and benefits of RAMS including descriptions of how the system implementations can improve emergency response, damage assessment, task prioritization, and situation awareness. This CONOPS provides general information on operational processes and procedures required to utilize RAMS, and expected performance benefits of the system. The primary audiences for this document are the end users of RAMS (including flight operators and incident commanders) and the RAMS management team. Other audiences include interested offices within the Department of Homeland Security (DHS), and officials from other state and local jurisdictions who wantmore » to implement similar systems.« less

Program planning for the community teaching hospital medical library.

PubMed Central

McCorkel, J; Cook, V

1985-01-01

To respond to the increasing demand for information from medical educators and clinicians and to persuade administrators to purchase the newly available microcomputer library systems, medical librarians in community teaching hospitals may find it useful to engage in intermediate term (for example, five-year) program planning. To increase the probability that the plan which emerges will be implemented, the planning process should fit the organizational nexus. Planning involves needs assessment, prioritized program elements, a written plan, and facilities planning (if applicable), which lead to program implementation. Components of a model program plan are presented. PMID:4027443

Does positivity operate when the stakes are high? Health status and decision making among older adults.

PubMed

English, Tammy; Carstensen, Laura L

2015-06-01

Research and theory suggest that emotional goals are increasingly prioritized with age. Related empirical work has shown that, compared with younger adults, older adults attend to and remember positive information more than negative information. This age-related positivity effect has been eliminated in experiments that have explicitly demanded processing of both positive and negative information. In the present study, we explored whether a reduction of the preference for positive information over negative information appears when the material being reviewed holds personal relevance for the individual. Older participants whose health varied from poor to very good reviewed written material prior to making decisions about health related and non-health-related issues. As predicted, older adults in relatively poor health (compared with those in relatively good health) showed less positivity in review of information while making health-related decisions. In contrast, positivity emerged regardless of health status for decisions that were unrelated to health. Across decision contexts, those individuals who focused more on positive information than negative information reported better postdecisional mood and greater decision satisfaction. Results are consistent with the theoretical argument that the age-related positivity effect reflects goal-directed cognitive processing and, furthermore, suggests that personal relevance and contextual factors determine whether positivity emerges. (c) 2015 APA, all rights reserved.

Does Positivity Operate When the Stakes are High?: Health Status and Decision-Making Among Older Adults

PubMed Central

English, Tammy; Carstensen, Laura L.

2015-01-01

Research and theory suggest that emotional goals are increasingly prioritized with age. Related empirical work has shown that, compared to younger adults, older adults attend to and remember positive information more than negative information. This age-related positivity effect has been eliminated in experiments that have explicitly demanded processing of both positive and negative information. In the present study, we explored whether a reduction of the preference for positive information over negative information appears when the material being reviewed holds personal relevance for the individual. Older participants whose health varied from poor to very good reviewed written material prior to making decisions about health related and non-health related issues. As predicted, older adults in relatively poor health (compared with those in relatively good health) showed less positivity in review of information while making health-related decisions. In contrast, positivity emerged regardless of health status for decisions that were unrelated to health. Across decision contexts, those individuals who focused more on positive information than negative information reported better post-decisional mood and greater decision satisfaction. Results are consistent with the theoretical argument that the age-related positivity effect reflects goal-directed cognitive processing and, furthermore, suggests that personal relevance and contextual factors determine whether or not positivity emerges. PMID:25894484

Leveraging existing data for prioritization of the ecological risks of human and veterinary pharmaceuticals to aquatic organisms

PubMed Central

LaLone, Carlie A.; Berninger, Jason P.; Villeneuve, Daniel L.; Ankley, Gerald T.

2014-01-01

Medicinal innovation has led to the discovery and use of thousands of human and veterinary drugs. With this comes the potential for unintended effects on non-target organisms exposed to pharmaceuticals inevitably entering the environment. The impracticality of generating whole-organism chronic toxicity data representative of all species in the environment has necessitated prioritization of drugs for focused empirical testing as well as field monitoring. Current prioritization strategies typically emphasize likelihood for exposure (i.e. predicted/measured environmental concentrations), while incorporating only rather limited consideration of potential effects of the drug to non-target organisms. However, substantial mammalian pharmacokinetic and mechanism/mode of action (MOA) data are produced during drug development to understand drug target specificity and efficacy for intended consumers. An integrated prioritization strategy for assessing risks of human and veterinary drugs would leverage available pharmacokinetic and toxicokinetic data for evaluation of the potential for adverse effects to non-target organisms. In this reiview, we demonstrate the utility of read-across approaches to leverage mammalian absorption, distribution, metabolism and elimination data; analyse cross-species molecular target conservation and translate therapeutic MOA to an adverse outcome pathway(s) relevant to aquatic organisms as a means to inform prioritization of drugs for focused toxicity testing and environmental monitoring. PMID:25405975

Keeping Up with the Joneses: Friends' Perfectionism and Students' Orientation Toward Extrinsic Aspirations.

PubMed

Hope, Nora; Koestner, Richard; Holding, Anne; Harvey, Brenda

2016-12-01

Kasser and Ryan (1993,1996) have contrasted two types of life values: intrinsic aspirations, which include community contribution, building close relationships, and self-growth, and extrinsic aspirations, which include fame, wealth, and physical beauty. Prioritization of extrinsic relative to intrinsic aspirations has been related cross-sectionally to decreased well-being (Kasser, 2002). However, the influence of close others in the etiology of young adults' prioritization of extrinsic aspirations, and the prospective effects of aspirations on well-being, are not well understood. In a multiple-informant prospective study of 341 university students (mean age = 19.4; 64% Caucasian; 74% female), we examined the influence of friends' and family members' perfectionism on participants' aspirations, and the outcomes of prioritization of extrinsic aspirations. Having friends high in other-oriented perfectionism was significantly positively related to prioritization of extrinsic over intrinsic aspirations. Furthermore, living with friends amplified the effect. Last, prioritization of extrinsic aspirations at T1 was related to decreased subjective well-being and self-concordance for goals 3 months later. The study provides preliminary evidence for a relationship between friends' other-oriented perfectionism and students' orientation toward extrinsic aspirations, as well as negative prospective consequences of students' orientation to extrinsic aspirations. © 2015 Wiley Periodicals, Inc.

Investigation of a supplementary tool to assist in the prioritization of emphasis areas in North American strategic highway safety plans.

PubMed

Park, Peter Y; Young, Jason

2012-03-01

An important potential benefit of a jurisdiction developing an upper-level traffic safety policy statement, such as a strategic highway safety plan (SHSP) or a traffic safety action plan, is the creation of a manageable number of focus areas, known as emphasis areas. The responsible agencies in the jurisdiction can then direct their finite resources in a systematic and strategic way designed to maximize the effort to reduce the number and severity of roadway collisions. In the United States, the federal government through AASHTO has suggested 22 potential emphasis areas. In Canada, CCMTA's 10 potential emphasis areas have been listed for consideration. This study reviewed the SHSP and traffic safety action plan of 53 jurisdictions in North America, and conducted descriptive data analyses to clarify the issues that currently affect the selection and prioritization process of jurisdiction-specific emphasis areas. We found that the current process relies heavily on high-level collision data analysis and communication among the SHSP stakeholders, but may not be the most efficient and effective way of selecting and prioritizing the emphasis areas and allocating safety improvement resources. This study then formulated a formal collision diagnosis test, known as the beta-binomial test, to clarify and illuminate the selection and the prioritization of jurisdiction-specific emphasis areas. We developed numerical examples to demonstrate how engineers can apply the proposed diagnosis test to improve the selection and prioritization of individual jurisdictions' emphasis areas. Copyright © 2011 Elsevier Ltd. All rights reserved.

Prioritized Contact Transport Stream

NASA Technical Reports Server (NTRS)

Hunt, Walter Lee, Jr. (Inventor)

2015-01-01

A detection process, contact recognition process, classification process, and identification process are applied to raw sensor data to produce an identified contact record set containing one or more identified contact records. A prioritization process is applied to the identified contact record set to assign a contact priority to each contact record in the identified contact record set. Data are removed from the contact records in the identified contact record set based on the contact priorities assigned to those contact records. A first contact stream is produced from the resulting contact records. The first contact stream is streamed in a contact transport stream. The contact transport stream may include and stream additional contact streams. The contact transport stream may be varied dynamically over time based on parameters such as available bandwidth, contact priority, presence/absence of contacts, system state, and configuration parameters.

Information Security Assessment of SMEs as Coursework -- Learning Information Security Management by Doing

ERIC Educational Resources Information Center

Ilvonen, Ilona

2013-01-01

Information security management is an area with a lot of theoretical models. The models are designed to guide practitioners in prioritizing management resources in companies. Information security management education should address the gap between the academic ideals and practice. This paper introduces a teaching method that has been in use as…

Leading quality through the development of a multi-year corporate quality plan: sharing The Ottawa Hospital experience.

PubMed

Hunter, Linda; Myles, Joanne; Worthington, James R; Lebrun, Monique

2011-01-01

This article discusses the background and process for developing a multi-year corporate quality plan. The Ottawa Hospital's goal is to be a top 10% performer in quality and patient safety in North America. In order to create long-term measurable and sustainable changes in the quality of patient care, The Ottawa Hospital embarked on the development of a three-year strategic corporate quality plan. This was accomplished by engaging the organization at all levels and defining quality frameworks, aligning with internal and external expectations, prioritizing strategic goals, articulating performance measurements and reporting to stakeholders while maintaining a transparent communication process. The plan was developed through an iterative process that engaged a broad base of health professionals, physicians, support staff, administration and senior management. A literature review of quality frameworks was undertaken, a Quality Plan Working Group was established, 25 key stakeholder interviews were conducted and 48 clinical and support staff consultations were held. The intent was to gather information on current quality initiatives and challenges encountered and to prioritize corporate goals and then create the quality plan. Goals were created and then prioritized through an affinity exercise. Action plans were developed for each goal and included objectives, tasks and activities, performance measures (structure, process and outcome), accountabilities and timelines. This collaborative methodology resulted in the development of a three-year quality plan. Six corporate goals were outlined by the tenets of the quality framework for The Ottawa Hospital: access to care, appropriate care (effective and efficient), safe care and satisfaction with care. Each of the six corporate goals identified objectives and supporting action plans with accountabilities outlining what would be accomplished in years one, two and three. The three-year quality plan was approved by senior management and the board in April 2009. This process has supported The Ottawa Hospital's journey of excellence through the creation of a quality plan that will enable long-term measurable and sustainable changes in the quality of patient care. It also engaged healthcare providers who aim to achieve more measured quality patient care, engaged practitioners through collaboration resulting in both alignment of goals and outcomes and allowed for greater commitment by those responsible for achieving quality goals.

Points of attention in designing tools for regional brownfield prioritization.

PubMed

Limasset, Elsa; Pizzol, Lisa; Merly, Corinne; Gatchett, Annette M; Le Guern, Cécile; Martinát, Stanislav; Klusáček, Petr; Bartke, Stephan

2018-05-01

The regeneration of brownfields has been increasingly recognized as a key instrument in sustainable land management, since free developable land (or so called "greenfields") has become a scare and more expensive resource, especially in densely populated areas. However, the complexity of these sites requires considerable efforts to successfully complete their revitalization projects, thus requiring the development and application of appropriate tools to support decision makers in the selection of promising sites where efficiently allocate the limited financial resources. The design of effective prioritization tools is a complex process, which requires the analysis and consideration of critical points of attention (PoAs) which has been identified considering the state of the art in literature, and lessons learned from previous developments of regional brownfield (BF) prioritization processes, frameworks and tools. Accordingly, we identified 5 PoAs, namely 1) Assessing end user needs and orientation discussions, 2) Availability and quality of the data needed for the BF prioritization tool, 3) Communication and stakeholder engagement 4) Drivers of regeneration success, and 5) Financing and application costs. To deepen and collate the most recent knowledge on the topics from scientists and practitioners, we organized a focus group discussion within a special session at the AquaConSoil (ACS) conference 2017, where participants were asked to add their experience and thoughts to the discussion in order to identify the most significant and urgent points of attention in BF prioritization tool design. The result of this assessment is a comprehensive table (Table 2), which can support problem owners, investors, service providers, regulators, public and private land managers, decision makers etc. in the identification of the main aspects (sub-topics) to be considered and their relative influences and in the comprehension of the general patterns and challenges to be faced when dealing with the development of BF prioritization tools. Copyright © 2017 Elsevier B.V. All rights reserved.

Optimal allocation of resources among threatened species: a project prioritization protocol.

PubMed

Joseph, Liana N; Maloney, Richard F; Possingham, Hugh P

2009-04-01

Conservation funds are grossly inadequate to address the plight of threatened species. Government and conservation organizations faced with the task of conserving threatened species desperately need simple strategies for allocating limited resources. The academic literature dedicated to systematic priority setting usually recommends ranking species on several criteria, including level of endangerment and metrics of species value such as evolutionary distinctiveness, ecological importance, and social significance. These approaches ignore 2 crucial factors: the cost of management and the likelihood that the management will succeed. These oversights will result in misallocation of scarce conservation resources and possibly unnecessary losses. We devised a project prioritization protocol (PPP) to optimize resource allocation among New Zealand's threatened-species projects, where costs, benefits (including species values), and the likelihood of management success were considered simultaneously. We compared the number of species managed and the expected benefits gained with 5 prioritization criteria: PPP with weightings based on species value; PPP with species weighted equally; management costs; species value; and threat status. We found that the rational use of cost and success information substantially increased the number of species managed, and prioritizing management projects according to species value or threat status in isolation was inefficient and resulted in fewer species managed. In addition, we found a clear trade-off between funding management of a greater number of the most cost-efficient and least risky projects and funding fewer projects to manage the species of higher value. Specifically, 11 of 32 species projects could be funded if projects were weighted by species value compared with 16 projects if projects were not weighted. This highlights the value of a transparent decision-making process, which enables a careful consideration of trade-offs. The use of PPP can substantially improve conservation outcomes for threatened species by increasing efficiency and ensuring transparency of management decisions.

Using dynamic population simulations to extend resource selection analyses and prioritize habitats for conservation

USGS Publications Warehouse

Heinrichs, Julie; Aldridge, Cameron L.; O'Donnell, Michael; Schumaker, Nathan

2017-01-01

Prioritizing habitats for conservation is a challenging task, particularly for species with fluctuating populations and seasonally dynamic habitat needs. Although the use of resource selection models to identify and prioritize habitat for conservation is increasingly common, their ability to characterize important long-term habitats for dynamic populations are variable. To examine how habitats might be prioritized differently if resource selection was directly and dynamically linked with population fluctuations and movement limitations among seasonal habitats, we constructed a spatially explicit individual-based model for a dramatically fluctuating population requiring temporally varying resources. Using greater sage-grouse (Centrocercus urophasianus) in Wyoming as a case study, we used resource selection function maps to guide seasonal movement and habitat selection, but emergent population dynamics and simulated movement limitations modified long-term habitat occupancy. We compared priority habitats in RSF maps to long-term simulated habitat use. We examined the circumstances under which the explicit consideration of movement limitations, in combination with population fluctuations and trends, are likely to alter predictions of important habitats. In doing so, we assessed the future occupancy of protected areas under alternative population and habitat conditions. Habitat prioritizations based on resource selection models alone predicted high use in isolated parcels of habitat and in areas with low connectivity among seasonal habitats. In contrast, results based on more biologically-informed simulations emphasized central and connected areas near high-density populations, sometimes predicted to be low selection value. Dynamic models of habitat use can provide additional biological realism that can extend, and in some cases, contradict habitat use predictions generated from short-term or static resource selection analyses. The explicit inclusion of population dynamics and movement propensities via spatial simulation modeling frameworks may provide an informative means of predicting long-term habitat use, particularly for fluctuating populations with complex seasonal habitat needs. Importantly, our results indicate the possible need to consider habitat selection models as a starting point rather than the common end point for refining and prioritizing habitats for protection for cyclic and highly variable populations.

Abbott Physicochemical Tiering (APT)--a unified approach to HTS triage.

PubMed

Cox, Philip B; Gregg, Robert J; Vasudevan, Anil

2012-07-15

The selection of the highest quality chemical matter from high throughput screening (HTS) is the ultimate aim of any triage process. Typically there are many hundreds or thousands of hits capable of modulating a given biological target in HTS with a wide range of physicochemical properties that should be taken into consideration during triage. Given the multitude of physicochemical properties that define drug-like space, a system needs to be in place that allows for a rapid selection of chemical matter based on a prioritized range of these properties. With this goal in mind, we have developed a tool, coined Abbott Physicochemical Tiering (APT) that enables hit prioritization based on ranges of these important physicochemical properties. This tool is now used routinely at Abbott to help prioritize hits out of HTS during the triage process. Herein we describe how this tool was developed and validated using Abbott internal high throughput ADME data (HT-ADME). Copyright © 2012 Elsevier Ltd. All rights reserved.

Rehabilitation Practitioners' Prioritized Care Processes in Hip Fracture Post-Acute Care

PubMed Central

Kim, Lauren H.; Leland, Natalie E.

2017-01-01

Aims Occupational and physical therapy in post-acute care (PAC) has reached the point where quality indicators for hip fracture are needed. This study characterizes the practitioners' prioritized hip fracture rehabilitation practices, which can guide future quality improvement initiatives. Methods Ninety-two practitioners participating in a parent mixed methods study were asked to rank a series of evidence-based best practices across five clinical domains (assessment, intervention, discharge planning, caregiver training and patient education). Results Prioritized practices reflected patient-practitioner collaboration, facilitating an effective discharge, and preventing adverse events. The highest endorsed care processes include: developing meaningful goals with patient input (84%) in assessment, using assistive devices in intervention (75%) and patient education (65%), engaging the patient and caregiver (50%) in discharge planning, and fall prevention (60%) in caregiver education. Conclusions Practitioners identified key care priorities. This study lays the foundation for future work evaluating the extent to which these practices are delivered in PAC. PMID:28989216

Sequence-Based Prioritization of Nonsynonymous Single-Nucleotide Polymorphisms for the Study of Disease Mutations

PubMed Central

Jiang, Rui ; Yang, Hua ; Zhou, Linqi ; Kuo, C.-C. Jay ; Sun, Fengzhu ; Chen, Ting 

2007-01-01

The increasing demand for the identification of genetic variation responsible for common diseases has translated into a need for sophisticated methods for effectively prioritizing mutations occurring in disease-associated genetic regions. In this article, we prioritize candidate nonsynonymous single-nucleotide polymorphisms (nsSNPs) through a bioinformatics approach that takes advantages of a set of improved numeric features derived from protein-sequence information and a new statistical learning model called “multiple selection rule voting” (MSRV). The sequence-based features can maximize the scope of applications of our approach, and the MSRV model can capture subtle characteristics of individual mutations. Systematic validation of the approach demonstrates that this approach is capable of prioritizing causal mutations for both simple monogenic diseases and complex polygenic diseases. Further studies of familial Alzheimer diseases and diabetes show that the approach can enrich mutations underlying these polygenic diseases among the top of candidate mutations. Application of this approach to unclassified mutations suggests that there are 10 suspicious mutations likely to cause diseases, and there is strong support for this in the literature. PMID:17668383

DECISION-MAKING USING EXISTING DATA

EPA Science Inventory

Decision-makers need information on cumulative and aggregate stressors as well as clear information on where problems are likely to occur in the future in order to prioritize risk management actions. The most prevasive and difficult to assess changes are the result of regional-s...

Critical Infrastructure Rebuild Prioritization using Simulation Optimization

DTIC Science & Technology

2007-03-01

23 Figure 2.9 Production by temperature and production made from a crude oil (EIA.com)24 Figure 2.10 Natural gas industry... Oil infrastructure physical layer ...................................................................... 45 Figure 3.6 Natural gas infrastructure...information layer.......................................................... 55 Figure 3.11 Oil infrastructure information layer

A Study of Technical Engineering Peer Reviews at NASA

NASA Technical Reports Server (NTRS)

Chao, Lawrence P.; Tumer, Irem Y.; Bell, David G.

2003-01-01

This report describes the state of practices of design reviews at NASA and research into what can be done to improve peer review practices. There are many types of reviews at NASA: required and not, formalized and informal, programmatic and technical. Standing project formal reviews such as the Preliminary Design Review and Critical Design Review are a required part of every project and mission development. However, the technical, engineering peer reviews that support teams' work on such projects are informal, some times ad hoc, and inconsistent across the organization. The goal of this work is to identify best practices and lessons learned from NASA's experience, supported by academic research and methodologies to ultimately improve the process. This research has determined that the organization, composition, scope, and approach of the reviews impact their success. Failure Modes and Effects Analysis (FMEA) can identify key areas of concern before or in the reviews. Product definition tools like the Project Priority Matrix, engineering-focused Customer Value Chain Analysis (CVCA), and project or system-based Quality Function Deployment (QFD) help prioritize resources in reviews. The use of information technology and structured design methodologies can strengthen the engineering peer review process to help NASA work towards error-proofing the design process.

Streamlining Software Aspects of Certification: Report on the SSAC Survey

NASA Technical Reports Server (NTRS)

Hayhurst, Kelly J.; Dorsey, Cheryl A.; Knight, John C.; Leveson, Nancy G.; McCormick, G. Frank

1999-01-01

The aviation system now depends on information technology more than ever before to ensure safety and efficiency. To address concerns about the efficacy of software aspects of the certification process, the Federal Aviation Administration (FAA) began the Streamlining Software Aspects of Certification (SSAC) program. The SSAC technical team was commissioned to gather data, analyze results, and propose recommendations to maximize efficiency and minimize cost and delay, without compromising safety. The technical team conducted two public workshops to identify and prioritize software approval issues, and conducted a survey to validate the most urgent of those issues. The SSAC survey, containing over two hundred questions about the FAA's software approval process, reached over four hundred industry software developers, aircraft manufacturers, and FAA designated engineering representatives. Three hundred people responded. This report presents the SSAC program rationale, survey process, preliminary findings, and recommendations.

Prioritizing Information Technology Investments: Assessing the Correlations among Technological Readiness, Information Technology Flexibility, and Information Technology Effectiveness

ERIC Educational Resources Information Center

Walter, John T.

2010-01-01

Management's dilemma, when allocating financial resources towards the improvement of technological readiness and IT flexibility within their organizations, is to control financial risk and maximize IT effectiveness. Technological readiness is people's propensity to embrace and use technology. Its drivers are optimism, innovativeness, discomfort,…

Operationalizing an "Information Ecosystem" to support information management work of the Long-Term Agroecosystem Research (LTAR) network

USDA-ARS?s Scientific Manuscript database

As data collection ramps up across the LTAR Network, the “information ecosystem” (Kaplan et al. 2016 and Nardi and O’Day, 1999) must support three domains of sustainable agriculture, and data flow needs to be operationalized. Approaches to prioritizing, designing, and developing shared cyberinfrastr...

77 FR 53903 - Notice of Proposed Information Collection for Public Comment: OneCPD Technical Assistance and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-04

... Information Collection for Public Comment: OneCPD Technical Assistance and Capacity Building Needs Assessment... Needs Assessment. Description of the need for the information proposed: The OneCPD Needs Assessment will... to identify trends in TA needs across grantees and assist in prioritizing the development of tools...

Interactions of attention, emotion and motivation.

PubMed

Raymond, Jane

2009-01-01

Although successful visually guided action begins with sensory processes and ends with motor control, the intervening processes related to the appropriate selection of information for processing are especially critical because of the brain's limited capacity to handle information. Three important mechanisms--attention, emotion and motivation--contribute to the prioritization and selection of information. In this chapter, the interplay between these systems is discussed with emphasis placed on interactions between attention (or immediate task relevance of stimuli) and emotion (or affective evaluation of stimuli), and between attention and motivation (or the predicted value of stimuli). Although numerous studies have shown that emotional stimuli modulate mechanisms of selective attention in humans, little work has been directed at exploring whether such interactions can be reciprocal, that is, whether attention can influence emotional response. Recent work on this question (showing that distracting information is typically devalued upon later encounters) is reviewed in the first half of the chapter. In the second half, some recent experiments exploring how prior value-prediction learning (i.e., learning to associate potential outcomes, good or bad, with specific stimuli) plays a role in visual selection and conscious perception. The results indicate that some aspects of motivation act on selection independently of traditionally defined attention and other aspects interact with it.

Associative list processing unit

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

Hemmert, Karl Scott; Underwood, Keith D

2014-04-01

An associative list processing unit and method comprising employing a plurality of prioritized cell blocks and permitting inserts to occur in a single clock cycle if all of the cell blocks are not full.

Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-Gene-Disease Curation at the Comparative Toxicogenomics Database

PubMed Central

Johnson, Robin J.; Lay, Jean M.; Lennon-Hopkins, Kelley; Saraceni-Richards, Cynthia; Sciaky, Daniela; Murphy, Cynthia Grondin; Mattingly, Carolyn J.

2013-01-01

The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is a public resource that curates interactions between environmental chemicals and gene products, and their relationships to diseases, as a means of understanding the effects of environmental chemicals on human health. CTD provides a triad of core information in the form of chemical-gene, chemical-disease, and gene-disease interactions that are manually curated from scientific articles. To increase the efficiency, productivity, and data coverage of manual curation, we have leveraged text mining to help rank and prioritize the triaged literature. Here, we describe our text-mining process that computes and assigns each article a document relevancy score (DRS), wherein a high DRS suggests that an article is more likely to be relevant for curation at CTD. We evaluated our process by first text mining a corpus of 14,904 articles triaged for seven heavy metals (cadmium, cobalt, copper, lead, manganese, mercury, and nickel). Based upon initial analysis, a representative subset corpus of 3,583 articles was then selected from the 14,094 articles and sent to five CTD biocurators for review. The resulting curation of these 3,583 articles was analyzed for a variety of parameters, including article relevancy, novel data content, interaction yield rate, mean average precision, and biological and toxicological interpretability. We show that for all measured parameters, the DRS is an effective indicator for scoring and improving the ranking of literature for the curation of chemical-gene-disease information at CTD. Here, we demonstrate how fully incorporating text mining-based DRS scoring into our curation pipeline enhances manual curation by prioritizing more relevant articles, thereby increasing data content, productivity, and efficiency. PMID:23613709

Application of stochastic multiattribute analysis to assessment of single walled carbon nanotube synthesis processes.

PubMed

Canis, Laure; Linkov, Igor; Seager, Thomas P

2010-11-15

The unprecedented uncertainty associated with engineered nanomaterials greatly expands the need for research regarding their potential environmental consequences. However, decision-makers such as regulatory agencies, product developers, or other nanotechnology stakeholders may not find the results of such research directly informative of decisions intended to mitigate environmental risks. To help interpret research findings and prioritize new research needs, there is an acute need for structured decision-analytic aids that are operable in a context of extraordinary uncertainty. Whereas existing stochastic decision-analytic techniques explore uncertainty only in decision-maker preference information, this paper extends model uncertainty to technology performance. As an illustrative example, the framework is applied to the case of single-wall carbon nanotubes. Four different synthesis processes (arc, high pressure carbon monoxide, chemical vapor deposition, and laser) are compared based on five salient performance criteria. A probabilistic rank ordering of preferred processes is determined using outranking normalization and a linear-weighted sum for different weighting scenarios including completely unknown weights and four fixed-weight sets representing hypothetical stakeholder views. No single process pathway dominates under all weight scenarios, but it is likely that some inferior process technologies could be identified as low priorities for further research.

Liverome: a curated database of liver cancer-related gene signatures with self-contained context information.

PubMed

Lee, Langho; Wang, Kai; Li, Gang; Xie, Zhi; Wang, Yuli; Xu, Jiangchun; Sun, Shaoxian; Pocalyko, David; Bhak, Jong; Kim, Chulhong; Lee, Kee-Ho; Jang, Ye Jin; Yeom, Young Il; Yoo, Hyang-Sook; Hwang, Seungwoo

2011-11-30

Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide. A number of molecular profiling studies have investigated the changes in gene and protein expression that are associated with various clinicopathological characteristics of HCC and generated a wealth of scattered information, usually in the form of gene signature tables. A database of the published HCC gene signatures would be useful to liver cancer researchers seeking to retrieve existing differential expression information on a candidate gene and to make comparisons between signatures for prioritization of common genes. A challenge in constructing such database is that a direct import of the signatures as appeared in articles would lead to a loss or ambiguity of their context information that is essential for a correct biological interpretation of a gene's expression change. This challenge arises because designation of compared sample groups is most often abbreviated, ad hoc, or even missing from published signature tables. Without manual curation, the context information becomes lost, leading to uninformative database contents. Although several databases of gene signatures are available, none of them contains informative form of signatures nor shows comprehensive coverage on liver cancer. Thus we constructed Liverome, a curated database of liver cancer-related gene signatures with self-contained context information. Liverome's data coverage is more than three times larger than any other signature database, consisting of 143 signatures taken from 98 HCC studies, mostly microarray and proteome, and involving 6,927 genes. The signatures were post-processed into an informative and uniform representation and annotated with an itemized summary so that all context information is unambiguously self-contained within the database. The signatures were further informatively named and meaningfully organized according to ten functional categories for guided browsing. Its web interface enables a straightforward retrieval of known differential expression information on a query gene and a comparison of signatures to prioritize common genes. The utility of Liverome-collected data is shown by case studies in which useful biological insights on HCC are produced. Liverome database provides a comprehensive collection of well-curated HCC gene signatures and straightforward interfaces for gene search and signature comparison as well. Liverome is available at http://liverome.kobic.re.kr.

Rapid realist review of the evidence: achieving lasting change when mental health rehabilitation staff undertake recovery-oriented training.

PubMed

Gee, Melanie; Bhanbhro, Sadiq; Cook, Sarah; Killaspy, Helen

2017-08-01

The aim of this study was to identify the factors contributing to lasting change in practice following a recovery-based training intervention for inpatient mental health rehabilitation staff. Staff training may help nurses and other staff groups in inpatient mental health rehabilitative settings to increase their recovery-oriented practice. There are no published reviews on the effectiveness of such training and few long-term evaluations. This review informed a realist evaluation of a specific intervention (GetREAL). Rapid realist review methodology was used to generate and prioritize programme theories. ASSIA, CINAHL, Cochrane Library, Medline, PsycINFO, Scopus, Web of Science and grey literature searches were performed in September 2014-March 2015 with no date restrictions. Stakeholders suggested further documents. GetREAL project documentation was consulted. Programme theory development took place iteratively with literature identification. Stakeholders validated and prioritized emerging programme theories and the prioritized theories were refined using literature case studies. Fifty-one relevant documents fed into 49 programme theories articulating seven mechanisms for lasting change. Prioritized mechanisms were: staff receptiveness to change; and staff feeling encouraged, motivated and supported by colleagues and management to change. Seven programme theories were prioritized and refined using data from four case studies. Lasting change can be facilitated by collaborative action planning, regular collaborative meetings, appointing a change agent, explicit management endorsement and prioritization and modifying organizational structures. Conversely, a challenging organizational climate, or a prevalence of 'change fatigue', may block change. Pre-intervention exploration may help identify any potential barriers to embedding recovery in the organizational culture. © 2016 John Wiley & Sons Ltd.

The Prioritization of Clinical Risk Factors of Obstructive Sleep Apnea Severity Using Fuzzy Analytic Hierarchy Process

PubMed Central

Maranate, Thaya; Pongpullponsak, Adisak; Ruttanaumpawan, Pimon

2015-01-01

Recently, there has been a problem of shortage of sleep laboratories that can accommodate the patients in a timely manner. Delayed diagnosis and treatment may lead to worse outcomes particularly in patients with severe obstructive sleep apnea (OSA). For this reason, the prioritization in polysomnography (PSG) queueing should be endorsed based on disease severity. To date, there have been conflicting data whether clinical information can predict OSA severity. The 1,042 suspected OSA patients underwent diagnostic PSG study at Siriraj Sleep Center during 2010-2011. A total of 113 variables were obtained from sleep questionnaires and anthropometric measurements. The 19 groups of clinical risk factors consisting of 42 variables were categorized into each OSA severity. This study aimed to array these factors by employing Fuzzy Analytic Hierarchy Process approach based on normalized weight vector. The results revealed that the first rank of clinical risk factors in Severe, Moderate, Mild, and No OSA was nighttime symptoms. The overall sensitivity/specificity of the approach to these groups was 92.32%/91.76%, 89.52%/88.18%, 91.08%/84.58%, and 96.49%/81.23%, respectively. We propose that the urgent PSG appointment should include clinical risk factors of Severe OSA group. In addition, the screening for Mild from No OSA patients in sleep center setting using symptoms during sleep is also recommended (sensitivity = 87.12% and specificity = 72.22%). PMID:26221183

Application of the analytic hierarchy process in the performance measurement of colorectal cancer care for the design of a pay-for-performance program in Taiwan.

PubMed

Chung, Kuo-Piao; Chen, Li-Ju; Chang, Yao-Jen; Chang, Yun-Jau; Lai, Mei-Shu

2013-02-01

To prioritize performance measures for colorectal cancer care to facilitate the implementation of a pay-for-performance (PFP) system. Questionnaires survey. Medical hospitals in Taiwan. Sixty-six medical doctors from 5 November 2009 to 10 December 2009. Analytic hierarchy process (AHP) technique. Main outcome measure(s) Performance measures (two pre-treatment, six treatment related and three monitoring related) were used. Forty-eight doctors responded and returned questionnaires (response rate 72.7%) with surgeons and physicians contributing equally. The most important measure was the proportion of colorectal patients who had pre-operative examinations that included chest X-ray and abdominal ultrasound, computed tomography or MRI (global priority: 0.144), followed by the proportion of stages I-III colorectal cancer patients who had undergone a wide surgical resection documented as 'negative margin' (global priority: 0.133) and the proportion of colorectal cancer patients who had undergone surgery with a pathology report that included information on tumor size and node differentiation (global priority: 0.116). Most participants considered that the best interval for the renewal indicators was 3-5 years (43.75%) followed by 5-10 years (27.08%). To design a PFP program, the AHP method is a useful technique to prioritize performance measures, especially in a highly specialized domain such as colorectal cancer care.

Uncertainty in Agricultural Impact Assessment

NASA Technical Reports Server (NTRS)

Wallach, Daniel; Mearns, Linda O.; Rivington, Michael; Antle, John M.; Ruane, Alexander C.

2014-01-01

This chapter considers issues concerning uncertainty associated with modeling and its use within agricultural impact assessments. Information about uncertainty is important for those who develop assessment methods, since that information indicates the need for, and the possibility of, improvement of the methods and databases. Such information also allows one to compare alternative methods. Information about the sources of uncertainties is an aid in prioritizing further work on the impact assessment method. Uncertainty information is also necessary for those who apply assessment methods, e.g., for projecting climate change impacts on agricultural production and for stakeholders who want to use the results as part of a decision-making process (e.g., for adaptation planning). For them, uncertainty information indicates the degree of confidence they can place in the simulated results. Quantification of uncertainty also provides stakeholders with an important guideline for making decisions that are robust across the known uncertainties. Thus, uncertainty information is important for any decision based on impact assessment. Ultimately, we are interested in knowledge about uncertainty so that information can be used to achieve positive outcomes from agricultural modeling and impact assessment.

Managing Senegalese water resources: Definition and relative importance of information needs

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

Engi, D.

1998-09-01

This report provides an overview of the results of the Vital Issues process as implemented for the Senegal Water Resources Management Initiative, a collaborative effort between the Senegalese Ministry of Water Resources and Sandia National Laboratories. This Initiative is being developed to assist in the development of an efficient and sustainable water resources management system for Senegal. The Vital Issues process was used to provide information for the development of a proposal that will recommend actions to address the key management issues and establish a state-of-the-art decision support system (DSS) for managing Senegal`s water resources. Three Vital Issues panel meetingsmore » were convened to (1) develop a goal statement and criteria for identifying and ranking the issues vital to water resources management in Senegal; (2) define and rank the issues, and (3) identify and prioritize a preliminary list of information needed to address the vital issues. The selection of panelists from the four basic institutional perspectives (government, industry, academe, and citizens` interest groups) ensured a high level of stakeholder representation on the panels.« less

Livable Analytics - Home

Science.gov Websites

DECISION MAKING, DESIGN, AND OPERATIONS Occupant surveys are an invaluable source of information for design features are or are not working, and helps to prioritize the steps needed to improve occupant Assess how new technologies and design strategies impact occupants. document INFORM Improve operations

77 FR 49859 - Proposed Traffic Records Program Assessment Advisory

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-17

... States on the collection, management, and analysis of data used to inform highway and traffic safety... prioritize traffic safety issues and to choose appropriate countermeasures and evaluate their effectiveness. This document provides information on the contents, capabilities, and data quality attributes of an...

The role of health information technology in advancing care management and coordination in accountable care organizations.

PubMed

Wu, Frances M; Shortell, Stephen M; Rundall, Thomas G; Bloom, Joan R

To be successful, accountable care organizations (ACOs) must effectively manage patient care. Health information technology (HIT) can support care delivery by providing various degrees of coordination. Few studies have examined the role of HIT functionalities or the role of different levels of coordination enabled by HIT on care management processes. We examine HIT functionalities in ACOs, categorized by the level of coordination they enable in terms of information and work flow, to determine which specific HIT functionalities and levels of coordination are most strongly associated with care management processes. Retrospective cross-sectional analysis was done using 2012 data from the National Survey of Accountable Care Organizations. HIT functionalities are categorized into coordination levels: information capture, the lowest level, which coordinates through standardization; information provision, which supports unidirectional activities; and information exchange, which reflects the highest level of coordination allowing for bidirectional exchange. The Care Management Process index (CMP index) includes 13 questions about the extent to which care is planned, monitored, and supported by providers and patients. Multiple regressions adjusting for organizational and ACO contractual factors are used to assess relationships between HIT functionalities and the CMP index. HIT functionality coordinating the most complex interdependences (information exchange) was associated with a 0.41 standard deviation change in the CMP index (β = .41, p < .001), but the associations for information capture (β = -.01, p = .97) and information provision (β = .15, p = .48) functionalities were not significant. The current study has shed some light on the relationship between HIT and care management processes by specifying the coordination roles that HIT may play and, in particular, the importance of information exchange functionalities. Although these represent early findings, further research can help policy makers and clinical leaders understand how to prioritize HIT development given resource constraints.

Prioritizing Scientific Data for Transmission

NASA Technical Reports Server (NTRS)

Castano, Rebecca; Anderson, Robert; Estlin, Tara; DeCoste, Dennis; Gaines, Daniel; Mazzoni, Dominic; Fisher, Forest; Judd, Michele

2004-01-01

A software system has been developed for prioritizing newly acquired geological data onboard a planetary rover. The system has been designed to enable efficient use of limited communication resources by transmitting the data likely to have the most scientific value. This software operates onboard a rover by analyzing collected data, identifying potential scientific targets, and then using that information to prioritize data for transmission to Earth. Currently, the system is focused on the analysis of acquired images, although the general techniques are applicable to a wide range of data modalities. Image prioritization is performed using two main steps. In the first step, the software detects features of interest from each image. In its current application, the system is focused on visual properties of rocks. Thus, rocks are located in each image and rock properties, such as shape, texture, and albedo, are extracted from the identified rocks. In the second step, the features extracted from a group of images are used to prioritize the images using three different methods: (1) identification of key target signature (finding specific rock features the scientist has identified as important), (2) novelty detection (finding rocks we haven t seen before), and (3) representative rock sampling (finding the most average sample of each rock type). These methods use techniques such as K-means unsupervised clustering and a discrimination-based kernel classifier to rank images based on their interest level.

Prioritizing GWAS Results: A Review of Statistical Methods and Recommendations for Their Application

PubMed Central

Cantor, Rita M.; Lange, Kenneth; Sinsheimer, Janet S.

2010-01-01

Genome-wide association studies (GWAS) have rapidly become a standard method for disease gene discovery. A substantial number of recent GWAS indicate that for most disorders, only a few common variants are implicated and the associated SNPs explain only a small fraction of the genetic risk. This review is written from the viewpoint that findings from the GWAS provide preliminary genetic information that is available for additional analysis by statistical procedures that accumulate evidence, and that these secondary analyses are very likely to provide valuable information that will help prioritize the strongest constellations of results. We review and discuss three analytic methods to combine preliminary GWAS statistics to identify genes, alleles, and pathways for deeper investigations. Meta-analysis seeks to pool information from multiple GWAS to increase the chances of finding true positives among the false positives and provides a way to combine associations across GWAS, even when the original data are unavailable. Testing for epistasis within a single GWAS study can identify the stronger results that are revealed when genes interact. Pathway analysis of GWAS results is used to prioritize genes and pathways within a biological context. Following a GWAS, association results can be assigned to pathways and tested in aggregate with computational tools and pathway databases. Reviews of published methods with recommendations for their application are provided within the framework for each approach. PMID:20074509

A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer.

PubMed

Yang, Mary Qu; Li, Dan; Yang, William; Zhang, Yifan; Liu, Jun; Tong, Weida

2017-01-01

Clear cell renal cell carcinoma (ccRCC) is the most common and most aggressive form of renal cell cancer (RCC). The incidence of RCC has increased steadily in recent years. The pathogenesis of renal cell cancer remains poorly understood. Many of the tumor suppressor genes, oncogenes, and dysregulated pathways in ccRCC need to be revealed for improvement of the overall clinical outlook of the disease. Here, we developed a systems biology approach to prioritize the somatic mutated genes that lead to dysregulation of pathways in ccRCC. The method integrated multi-layer information to infer causative mutations and disease genes. First, we identified differential gene modules in ccRCC by coupling transcriptome and protein-protein interactions. Each of these modules consisted of interacting genes that were involved in similar biological processes and their combined expression alterations were significantly associated with disease type. Then, subsequent gene module-based eQTL analysis revealed somatic mutated genes that had driven the expression alterations of differential gene modules. Our study yielded a list of candidate disease genes, including several known ccRCC causative genes such as BAP1 and PBRM1 , as well as novel genes such as NOD2, RRM1, CSRNP1, SLC4A2, TTLL1 and CNTN1. The differential gene modules and their driver genes revealed by our study provided a new perspective for understanding the molecular mechanisms underlying the disease. Moreover, we validated the results in independent ccRCC patient datasets. Our study provided a new method for prioritizing disease genes and pathways.

What Should We Include in a Cultural Competence Curriculum? An Emerging Formative Evaluation Process to Foster Curriculum Development

PubMed Central

Crenshaw, Katie; Shewchuk, Richard M.; Qu, Haiyan; Staton, Lisa J.; Bigby, Judy Ann; Houston, Thomas K.; Allison, Jeroan; Estrada, Carlos A.

2011-01-01

Purpose To identify, prioritize, and organize components of a cultural competence curriculum to address disparities in cardiovascular disease. Method In 2006, four separate nominal group technique sessions were conducted with medical students, residents, community physicians, and academic physicians to generate and prioritize a list of concepts (i.e., ideas) to include in a curriculum. Afterward, 45 educators and researchers organized and prioritized the concepts using a card-sorting exercise. Multidimensional scaling (MDS) and hierarchical cluster analysis produced homogeneous groupings of related concepts and generated a cognitive map. The main outcome measures were the number of cultural competence concepts, their relative ranks, and the cognitive map. Results Thirty participants generated 61 concepts, 29 were identified by at least 2 participants. The cognitive map organized concepts into four clusters, interpreted as: (1) patient’s cultural background (e.g.,, information on cultures, habits, values); (2) provider and health care (e.g., clinical skills, awareness of one’s bias, patient-centeredness, and professionalism), communication skills (e.g., history, stereotype avoidance, and health disparities epidemiology); (3) cross-culture (e.g., idiomatic expressions, examples of effective communication); and (4) resources to manage cultural diversity (e.g., translator guides, instructions and community resources). The MDS two-dimensional solution demonstrated a good fit (stress=0.07; R2=0.97). Conclusions A novel, combined approach allowed stakeholders’ inputs to identify and cognitively organize critical domains used to guide development of a cultural competence curriculum. Educators may use this approach to develop and organize educational content for their target audiences, especially in ill-defined areas like cultural competence. PMID:21248602

Demographic stability metrics for conservation prioritization of isolated populations.

PubMed

Finn, Debra S; Bogan, Michael T; Lytle, David A

2009-10-01

Systems of geographically isolated habitat patches house species that occur naturally as small, disjunct populations. Many of these species are of conservation concern, particularly under the interacting influences of isolation and rapid global change. One potential conservation strategy is to prioritize the populations most likely to persist through change and act as sources for future recolonization of less stable localities. We propose an approach to classify long-term population stability (and, presumably, future persistence potential) with composite demographic metrics derived from standard population-genetic data. Stability metrics can be related to simple habitat measures for a straightforward method of classifying localities to inform conservation management. We tested these ideas in a system of isolated desert headwater streams with mitochondrial sequence data from 16 populations of a flightless aquatic insect. Populations exhibited a wide range of stability scores, which were significantly predicted by dry-season aquatic habitat size. This preliminary test suggests strong potential for our proposed method of classifying isolated populations according to persistence potential. The approach is complementary to existing methods for prioritizing local habitats according to diversity patterns and should be tested further in other systems and with additional loci to inform composite demographic stability scores.

High-throughput in Vitro Data To Inform Prioritization of Ambient Water Monitoring and Testing for Endocrine Active Chemicals.

PubMed

Heiger-Bernays, Wendy J; Wegner, Susanna; Dix, David J

2018-01-16

The presence of industrial chemicals, consumer product chemicals, and pharmaceuticals is well documented in waters in the U.S. and globally. Most of these chemicals lack health-protective guidelines and many have been shown to have endocrine bioactivity. There is currently no systematic or national prioritization for monitoring waters for chemicals with endocrine disrupting activity. We propose ambient water bioactivity concentrations (AWBCs) generated from high throughput data as a health-based screen for endocrine bioactivity of chemicals in water. The U.S. EPA ToxCast program has screened over 1800 chemicals for estrogen receptor (ER) and androgen receptor (AR) pathway bioactivity. AWBCs are calculated for 110 ER and 212 AR bioactive chemicals using high throughput ToxCast data from in vitro screening assays and predictive pathway models, high-throughput toxicokinetic data, and data-driven assumptions about consumption of water. Chemical-specific AWBCs are compared with measured water concentrations in data sets from the greater Denver area, Minnesota lakes, and Oregon waters, demonstrating a framework for identifying endocrine bioactive chemicals. This approach can be used to screen potential cumulative endocrine activity in drinking water and to inform prioritization of future monitoring, chemical testing and pollution prevention efforts.

Mapping structural influences on sex and HIV education in church and secular schools in Zimbabwe.

PubMed

Mpofu, Elias; Mutepfa, Magen Mhaka; Hallfors, Denise Dion

2012-09-01

The authors used state-of-the-art concept mapping approaches to examine structural institutional effects of church and secular high schools on the types of sexual and HIV-prevention education messages transmitted to learners in Zimbabwe. Participants were school teachers (n = 26), school counselors (n = 28), and pastors involved in student pastoral care (n = 14; males = 27, females = 41). They reported on messages perceived to influence sexual decisions of learners in their school setting. The self-report data were clustered into message types using concept mapping and contrasted for consistency of content and structure both between and within type of school. The authors also engaged in curriculum document study with member checks in the participant schools to determine convergence of the evidence on school-type effects of the messages transmitted to students. Church schools prioritized faith-informed sexual and HIV-prevention messages, whereas both types of schools prioritized Life skills education and a future focus. Secular schools prioritized sex and HIV messages in the context of community norms. Facts about HIV and AIDS were relatively underemphasized by church schools. The implicit knowledge values that differentiate types of schools influence learner access to information important for their sexual decisions.

Mapping Structural Influences on Sex and HIV Education in Church and Secular Schools in Zimbabwe

PubMed Central

Mpofu, Elias; Mutepfa, Magen Mhaka; Hallfors, Denise Dion

2012-01-01

We used state-of-the-art concept mapping approaches to examine structural institutional effects of church and secular schools on the types of sexual and HIV prevention education messages transmitted to learners. Participants were school teachers (n=26), school counselors (n=28) and pastors involved in student pastoral care (n=14) (males =27, females =41). They reported on perceived messages to influence sexual decisions of learners in their school setting. The self-report data were clustered into message types using concept mapping and contrasted for consistency of content and structure both between and within type of school. We also engaged in extended document study with member checks in the participant schools to determine convergence of the evidence on school type effects of the messages transmitted to students. Church schools prioritized faith informed sexual and HIV prevention messages, whereas both types of schools prioritized life skills education and a future focus. Secular schools prioritized sex and HIV messages in the context of community norms. Facts about HIV and AIDS were relatively underemphasized by church schools. The implicit knowledge values that differentiate types of schools influence learner access to information important for their sexual decisions. PMID:22582341

The role of risk-based prioritization in total quality management

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

Bennett, C.T.

1994-10-01

The climate in which government managers must make decisions grows more complex and uncertain. All stakeholders - the public, industry, and Congress - are demanding greater consciousness, responsibility, and accountability of programs and their budgets. Yet, managerial decisions have become multifaceted, involve greater risk, and operate over much longer time periods. Over the last four or five decades, as policy analysis and decisions became more complex, scientists from psychology, operations research, systems science, and economics have developed a more or less coherent process called decision analysis to aid program management. The process of decision analysis - a systems theoretic approachmore » - provides the backdrop for this paper. The Laboratory Integrated Prioritization System (LIPS) has been developed as a systems analytic and risk-based prioritization tool to aid the management of the Tri-Labs` (Lawrence Livermore, Los Alamos, and Sandia) operating resources. Preliminary analyses of the effects of LIPS has confirmed the practical benefits of decision and systems sciences - the systematic, quantitative reduction in uncertainty. To date, the use of LIPS - and, hence, its value - has been restricted to resource allocation within the Tri-Labs` operations budgets. This report extends the role of risk-based prioritization to the support of DOE Total Quality Management (TQM) programs. Furthermore, this paper will argue for the requirement to institutionalize an evolutionary, decision theoretic approach to the policy analysis of the Department of Energy`s Program Budget.« less

Network-based differential gene expression analysis suggests cell cycle related genes regulated by E2F1 underlie the molecular difference between smoker and non-smoker lung adenocarcinoma

PubMed Central

2013-01-01

Background Differential gene expression (DGE) analysis is commonly used to reveal the deregulated molecular mechanisms of complex diseases. However, traditional DGE analysis (e.g., the t test or the rank sum test) tests each gene independently without considering interactions between them. Top-ranked differentially regulated genes prioritized by the analysis may not directly relate to the coherent molecular changes underlying complex diseases. Joint analyses of co-expression and DGE have been applied to reveal the deregulated molecular modules underlying complex diseases. Most of these methods consist of separate steps: first to identify gene-gene relationships under the studied phenotype then to integrate them with gene expression changes for prioritizing signature genes, or vice versa. It is warrant a method that can simultaneously consider gene-gene co-expression strength and corresponding expression level changes so that both types of information can be leveraged optimally. Results In this paper, we develop a gene module based method for differential gene expression analysis, named network-based differential gene expression (nDGE) analysis, a one-step integrative process for prioritizing deregulated genes and grouping them into gene modules. We demonstrate that nDGE outperforms existing methods in prioritizing deregulated genes and discovering deregulated gene modules using simulated data sets. When tested on a series of smoker and non-smoker lung adenocarcinoma data sets, we show that top differentially regulated genes identified by the rank sum test in different sets are not consistent while top ranked genes defined by nDGE in different data sets significantly overlap. nDGE results suggest that a differentially regulated gene module, which is enriched for cell cycle related genes and E2F1 targeted genes, plays a role in the molecular differences between smoker and non-smoker lung adenocarcinoma. Conclusions In this paper, we develop nDGE to prioritize deregulated genes and group them into gene modules by simultaneously considering gene expression level changes and gene-gene co-regulations. When applied to both simulated and empirical data, nDGE outperforms the traditional DGE method. More specifically, when applied to smoker and non-smoker lung cancer sets, nDGE results illustrate the molecular differences between smoker and non-smoker lung cancer. PMID:24341432

Neurocognitive mechanisms of gaze-expression interactions in face processing and social attention

PubMed Central

Graham, Reiko; LaBar, Kevin S.

2012-01-01

The face conveys a rich source of non-verbal information used during social communication. While research has revealed how specific facial channels such as emotional expression are processed, little is known about the prioritization and integration of multiple cues in the face during dyadic exchanges. Classic models of face perception have emphasized the segregation of dynamic versus static facial features along independent information processing pathways. Here we review recent behavioral and neuroscientific evidence suggesting that within the dynamic stream, concurrent changes in eye gaze and emotional expression can yield early independent effects on face judgments and covert shifts of visuospatial attention. These effects are partially segregated within initial visual afferent processing volleys, but are subsequently integrated in limbic regions such as the amygdala or via reentrant visual processing volleys. This spatiotemporal pattern may help to resolve otherwise perplexing discrepancies across behavioral studies of emotional influences on gaze-directed attentional cueing. Theoretical explanations of gaze-expression interactions are discussed, with special consideration of speed-of-processing (discriminability) and contextual (ambiguity) accounts. Future research in this area promises to reveal the mental chronometry of face processing and interpersonal attention, with implications for understanding how social referencing develops in infancy and is impaired in autism and other disorders of social cognition. PMID:22285906

Temporal dynamics of encoding, storage and reallocation of visual working memory

PubMed Central

Bays, Paul M; Gorgoraptis, Nikos; Wee, Natalie; Marshall, Louise; Husain, Masud

2012-01-01

The process of encoding a visual scene into working memory has previously been studied using binary measures of recall. Here we examine the temporal evolution of memory resolution, based on observers’ ability to reproduce the orientations of objects presented in brief, masked displays. Recall precision was accurately described by the interaction of two independent constraints: an encoding limit that determines the maximum rate at which information can be transferred into memory, and a separate storage limit that determines the maximum fidelity with which information can be maintained. Recall variability decreased incrementally with time, consistent with a parallel encoding process in which visual information from multiple objects accumulates simultaneously in working memory. No evidence was observed for a limit on the number of items stored. Cueing one display item with a brief flash led to rapid development of a recall advantage for that item. This advantage was short-lived if the cue was simply a salient visual event, but was maintained if it indicated an object of particular relevance to the task. These cueing effects were observed even for items that had already been encoded into memory, indicating that limited memory resources can be rapidly reallocated to prioritize salient or goal-relevant information. PMID:21911739

Temporal dynamics of encoding, storage, and reallocation of visual working memory.

PubMed

Bays, Paul M; Gorgoraptis, Nikos; Wee, Natalie; Marshall, Louise; Husain, Masud

2011-09-12

The process of encoding a visual scene into working memory has previously been studied using binary measures of recall. Here, we examine the temporal evolution of memory resolution, based on observers' ability to reproduce the orientations of objects presented in brief, masked displays. Recall precision was accurately described by the interaction of two independent constraints: an encoding limit that determines the maximum rate at which information can be transferred into memory and a separate storage limit that determines the maximum fidelity with which information can be maintained. Recall variability decreased incrementally with time, consistent with a parallel encoding process in which visual information from multiple objects accumulates simultaneously in working memory. No evidence was observed for a limit on the number of items stored. Cuing one display item with a brief flash led to rapid development of a recall advantage for that item. This advantage was short-lived if the cue was simply a salient visual event but was maintained if it indicated an object of particular relevance to the task. These cuing effects were observed even for items that had already been encoded into memory, indicating that limited memory resources can be rapidly reallocated to prioritize salient or goal-relevant information.

Electrophysiologically dissociating episodic preretrieval processing.

PubMed

Bridger, Emma K; Mecklinger, Axel

2012-06-01

Contrasts between ERPs elicited by new items from tests with distinct episodic retrieval requirements index preretrieval processing. Preretrieval operations are thought to facilitate the recovery of task-relevant information because they have been shown to correlate with response accuracy in tasks in which prioritizing the retrieval of this information could be a useful strategy. This claim was tested here by contrasting new item ERPs from two retrieval tasks, each designed to explicitly require the recovery of a different kind of mnemonic information. New item ERPs differed from 400 msec poststimulus, but the distribution of these effects varied markedly, depending upon participants' response accuracy: A protracted posteriorly located effect was present for higher performing participants, whereas an anteriorly distributed effect occurred for lower performing participants. The magnitude of the posterior effect from 400 to 800 msec correlated with response accuracy, supporting the claim that preretrieval processes facilitate the recovery of task-relevant information. Additional contrasts between ERPs from these tasks and an old/new recognition task operating as a relative baseline revealed task-specific effects with nonoverlapping scalp topographies, in line with the assumption that these new item ERP effects reflect qualitatively distinct retrieval operations. Similarities in these effects were also used to reason about preretrieval processes related to the general requirement to recover contextual details. These insights, alongside the distinct pattern of effects for the two accuracy groups, reveal the multifarious nature of preretrieval processing while indicating that only some of these classes of operation are systematically related to response accuracy in recognition memory tasks.

"My Understanding Has Grown, My Perspective Has Switched": Linking Informal Writing to Learning Goals

ERIC Educational Resources Information Center

Hudd, Suzanne S.; Smart, Robert A.; Delohery, Andrew W.

2011-01-01

The use of informal writing is common in sociology. This article presents one model for integrating informal written work with learning goals through a theoretical framework known as concentric thinking. More commonly referred to as "the PTA model" because of the series of cognitive tasks it promotes--prioritization, translation, and analogy…

Hierarchical models and bayesian analysis of bird survey information

Treesearch

John R. Sauer; William A. Link; J. Andrew Royle

2005-01-01

Summary of bird survey information is a critical component of conservation activities, but often our summaries rely on statistical methods that do not accommodate the limitations of the information. Prioritization of species requires ranking and analysis of species by magnitude of population trend, but often magnitude of trend is a misleading measure of actual decline...

Shared decision-making – transferring research into practice: the Analytic Hierarchy Process (AHP)

PubMed Central

Dolan, James G.

2008-01-01

Objective To illustrate how the Analytic Hierarchy Process (AHP) can be used to promote shared decision-making and enhance clinician-patient communication. Methods Tutorial review. Results The AHP promotes shared decision making by creating a framework that is used to define the decision, summarize the information available, prioritize information needs, elicit preferences and values, and foster meaningful communication among decision stakeholders. Conclusions The AHP and related multi-criteria methods have the potential for improving the quality of clinical decisions and overcoming current barriers to implementing shared decision making in busy clinical settings. Further research is needed to determine the best way to implement these tools and to determine their effectiveness. Practice Implications Many clinical decisions involve preference-based trade-offs between competing risks and benefits. The AHP is a well-developed method that provides a practical approach for improving patient-provider communication, clinical decision-making, and the quality of patient care in these situations. PMID:18760559

Identifying and Prioritizing Information Needs and Research Priorities of Public Health Emergency Preparedness and Response Practitioners.

PubMed

Siegfried, Alexa L; Carbone, Eric G; Meit, Michael B; Kennedy, Mallory J; Yusuf, Hussain; Kahn, Emily B

2017-10-01

This study describes findings from an assessment conducted to identify perceived knowledge gaps, information needs, and research priorities among state, territorial, and local public health preparedness directors and coordinators related to public health emergency preparedness and response (PHPR). The goal of the study was to gather information that would be useful for ensuring that future funding for research and evaluation targets areas most critical for advancing public health practice. We implemented a mixed-methods approach to identify and prioritize PHPR research questions. A web survey was sent to all state, city, and territorial health agencies funded through the Public Health Emergency Preparedness (PHEP) Cooperative Agreement program and a sample of local health departments (LHDs). Three focus groups of state and local practitioners and subject matter experts from the Centers for Disease Control and Prevention (CDC) were subsequently conducted, followed by 3 meetings of an expert panel of PHPR practitioners and CDC experts to prioritize and refine the research questions. We identified a final list of 44 research questions that were deemed by study participants as priority topics where future research can inform PHPR programs and practice. We identified differences in perceived research priorities between PHEP awardees and LHD survey respondents; the number of research questions rated as important was greater among LHDs than among PHEP awardees (75%, n=33, compared to 24%, n=15). The research questions identified provide insight into public health practitioners' perceived knowledge gaps and the types of information that would be most useful for informing and advancing PHPR practice. The study also points to a higher level of information need among LHDs than among PHEP awardees. These findings are important for CDC and the PHPR research community to ensure that future research studies are responsive to practitioners' needs and provide the information required to enhance their capacity to meet the needs of the communities and jurisdictions they serve. (Disaster Med Public Health Preparedness. 2017;11:552-561).

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.

PubMed

Valentini, Giorgio; Paccanaro, Alberto; Caniza, Horacio; Romero, Alfonso E; Re, Matteo

2014-06-01

In the context of "network medicine", gene prioritization methods represent one of the main tools to discover candidate disease genes by exploiting the large amount of data covering different types of functional relationships between genes. Several works proposed to integrate multiple sources of data to improve disease gene prioritization, but to our knowledge no systematic studies focused on the quantitative evaluation of the impact of network integration on gene prioritization. In this paper, we aim at providing an extensive analysis of gene-disease associations not limited to genetic disorders, and a systematic comparison of different network integration methods for gene prioritization. We collected nine different functional networks representing different functional relationships between genes, and we combined them through both unweighted and weighted network integration methods. We then prioritized genes with respect to each of the considered 708 medical subject headings (MeSH) diseases by applying classical guilt-by-association, random walk and random walk with restart algorithms, and the recently proposed kernelized score functions. The results obtained with classical random walk algorithms and the best single network achieved an average area under the curve (AUC) across the 708 MeSH diseases of about 0.82, while kernelized score functions and network integration boosted the average AUC to about 0.89. Weighted integration, by exploiting the different "informativeness" embedded in different functional networks, outperforms unweighted integration at 0.01 significance level, according to the Wilcoxon signed rank sum test. For each MeSH disease we provide the top-ranked unannotated candidate genes, available for further bio-medical investigation. Network integration is necessary to boost the performances of gene prioritization methods. Moreover the methods based on kernelized score functions can further enhance disease gene ranking results, by adopting both local and global learning strategies, able to exploit the overall topology of the network. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.

Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources.

PubMed

Boettcher, P J; Tixier-Boichard, M; Toro, M A; Simianer, H; Eding, H; Gandini, G; Joost, S; Garcia, D; Colli, L; Ajmone-Marsan, P

2010-05-01

The genetic diversity of the world's livestock populations is decreasing, both within and across breeds. A wide variety of factors has contributed to the loss, replacement or genetic dilution of many local breeds. Genetic variability within the more common commercial breeds has been greatly decreased by selectively intense breeding programmes. Conservation of livestock genetic variability is thus important, especially when considering possible future changes in production environments. The world has more than 7500 livestock breeds and conservation of all of them is not feasible. Therefore, prioritization is needed. The objective of this article is to review the state of the art in approaches for prioritization of breeds for conservation, particularly those approaches that consider molecular genetic information, and to identify any shortcomings that may restrict their application. The Weitzman method was among the first and most well-known approaches for utilization of molecular genetic information in conservation prioritization. This approach balances diversity and extinction probability to yield an objective measure of conservation potential. However, this approach was designed for decision making across species and measures diversity as distinctiveness. For livestock, prioritization will most commonly be performed among breeds within species, so alternatives that measure diversity as co-ancestry (i.e. also within-breed variability) have been proposed. Although these methods are technically sound, their application has generally been limited to research studies; most existing conservation programmes have effectively primarily based decisions on extinction risk. The development of user-friendly software incorporating these approaches may increase their rate of utilization.

Overcoming barriers to exercise among parents: A social cognitive theory perspective

PubMed Central

Mailey, Emily L.; Phillips, Siobhan M.; Dlugonski, Deirdre; Conroy, David E.

2017-01-01

Parents face numerous barriers to exercise and exhibit high levels of inactivity. Examining theory-based determinants of exercise among parents may inform interventions for this population. The purpose of this study was to test a social-cognitive model of parental exercise participation over a 12-month period. Mothers (n=226) and fathers (n=70) of children <16 completed measures of exercise, barriers self-efficacy, perceived barriers, and exercise planning at baseline and one year later. Panel analyses were used to test the hypothesized relationships. Barriers self-efficacy was related to exercise directly and indirectly through perceived barriers and prioritization/planning. Prioritization and planning also mediated the relationship between perceived barriers and exercise. These paths remained significant at 12 months. These results suggest efforts to increase exercise in parents should focus on improving confidence to overcome exercise barriers, reducing perceptions of barriers, and helping parents make specific plans for prioritizing and engaging in exercise. PMID:27108160

Hospital-based expert model for health technology procurement planning in hospitals.

PubMed

Miniati, R; Cecconi, G; Frosini, F; Dori, F; Regolini, J; Iadanza, E; Biffi Gentili, G

2014-01-01

Although in the last years technology innovation in healthcare brought big improvements in care level and patient quality of life, hospital complexity and management cost became higher. For this reason, necessity of planning for medical equipment procurement within hospitals is getting more and more important in order to sustainable provide appropriate technology for both routine activity and innovative procedures. In order to support hospital decision makers for technology procurement planning, an expert model was designed as reported in the following paper. It combines the most widely used approaches for technology evaluation by taking into consideration Health Technology Assessment (HTA) and Medical Equipment Replacement Model (MERM). The designing phases include a first definition of prioritization algorithms, then the weighting process through experts' interviews and a final step for the model validation that included both statistical testing and comparison with real decisions. In conclusion, the designed model was able to provide a semi-automated tool that through the use of multidisciplinary information is able to prioritize different requests of technology acquisition in hospitals. Validation outcomes improved the model accuracy and created different "user profiles" according to the specific needs of decision makers.

Georgia concrete pavement performance and longevity.

DOT National Transportation Integrated Search

2012-02-01

The Georgia Department of Transportation (GDOT) has effectively utilized its pavement management system (PMS) to make informed, data-driven pavement maintenance decisions, including project selection, project prioritization, and funding allocation. C...

Dealing with largemouth bass virus: benefits of multisector collaboration

USGS Publications Warehouse

Terre, David R.; Schramm, Harold; Grizzle , John M.; Fries, Loraine T.

2015-01-01

Largemouth bass virus (LMBV), a recently identified pathogen, affected largemouth bass (Micropterus salmoides) in the southeastern United States beginning in the 1990s. Concern about the impacts of this little-known pathogen on largemouth bass populations, effects on fisheries management, and the need to provide anglers and the media with consistent and accurate information prompted a private organization (Bass Anglers Sportsman Society) to invite managers and researchers from state and federal agencies and universities to a series of five annual public workshops beginning in 2000. These workshops provided a mechanism to share information, identify and prioritize action items, and develop consensus information and outreach materials that could be provided to bass anglers and the media. Regionalizing the LMBV issue and collaboration among researchers, managers, and a fishing organization may also have allayed angler and media concerns. The process embodied in these workshops is offered as a successful example of multi-agency, multi-sector collaboration to facilitate information acquisition and guide action to address a regional fisheries management issue.

Prioritization of constituents for national- and regional-scale ambient monitoring of water and sediment in the United States

USGS Publications Warehouse

Olsen, Lisa D.; Valder, Joshua F.; Carter, Janet M.; Zogorski, John S.

2013-01-01

A total of 2,541 constituents were evaluated and prioritized for national- and regional-scale ambient monitoring of water and sediment in the United States. This prioritization was done by the U.S. Geological Survey (USGS) in preparation for the upcoming third decade (Cycle 3; 2013–23) of the National Water-Quality Assessment (NAWQA) Program. This report provides the methods used to prioritize the constituents and the results of that prioritization. Constituents were prioritized by the NAWQA National Target Analyte Strategy (NTAS) work group on the basis of available information on physical and chemical properties, observed or predicted environmental occurrence and fate, and observed or anticipated adverse effects on human health or aquatic life. Constituents were evaluated within constituent groups that were determined on the basis of physical or chemical properties or on uses or sources. Some constituents were evaluated within more than one constituent group. Although comparable objectives were used in the prioritization of constituents within the different constituent groups, differences in the availability of information accessed for each constituent group led to the development of separate prioritization approaches adapted to each constituent group to make best use of available resources. Constituents were assigned to one of three prioritization tiers: Tier 1, those having the highest priority for inclusion in ambient monitoring of water or sediment on a national or regional scale (including NAWQA Cycle 3 monitoring) on the basis of their likelihood of environmental occurrence in ambient water or sediment, or likelihood of effects on human health or aquatic life; Tier 2, those having intermediate priority for monitoring on the basis of their lower likelihood of environmental occurrence or lower likelihood of effects on human health or aquatic life; and Tier 3, those having low or no priority for monitoring on the basis of evidence of nonoccurrence or lack of effects on human health or aquatic life, or of having insufficient evidence of potential occurrence or effects to justify placement into Tier 2. Of the 1,081 constituents determined to be of highest priority for ambient monitoring (Tier 1), 602 were identified for water and 686 were identified for sediment (note that some constituents were evaluated for both water and sediment). These constituents included various types of organic compounds, trace elements and other inorganic constituents, and radionuclides. Some of these constituents are difficult to analyze, whereas others are mixtures, isomers, congeners, salts, and acids of other constituents; therefore, modifications to the list of high-priority constituents for ambient monitoring could be made on the basis of the availability of suitable methods for preparation, extraction, or analysis. An additional 1,460 constituents were placed into Tiers 2 or 3 for water or sediment, including some constituents that had been placed into Tier 1 for a different matrix; 436 constituents were placed into Tier 2 for water and 246 constituents into Tier 2 for sediment; 979 constituents were placed into Tier 3 for water and 779 constituents into Tier 3 for sediment.

Simulations inform design of regional occupancy-based monitoring for a sparsely distributed, territorial species

Treesearch

Quresh S. Latif; Martha M. Ellis; Victoria A. Saab; Kim Mellen-McLean

2017-01-01

Sparsely distributed species attract conservation concern, but insufficient information on population trends challenges conservation and funding prioritization. Occupancy-based monitoring is attractive for these species, but appropriate sampling design and inference depend on particulars of the study system. We employed spatially explicit simulations to identify...

Assessment and Application of National Environmental Databases and Mapping Tools at the Local Level to Two Community Case Studies

EPA Science Inventory

Communities are concerned over pollution levels and seek methods to systematically identify and prioritize the environmental stressors in their communities. Geographic information system (GIS) maps of environmental information can be useful tools for communities in their assessm...

Progress in High Throughput Exposure Assessment for Prioritizing Human Exposure to Environmental Chemicals (SRA)

EPA Science Inventory

For thousands of chemicals in commerce, there is little or no information about exposure or health and ecological effects. The US Environmental Protection Agency (USEPA) has ongoing research programs to develop and evaluate models that use the often minimal chemical information a...

An Exploratory Study Comparing the Effectiveness of Lecturing versus Team-Based Learning

ERIC Educational Resources Information Center

Huggins, Christopher M.; Stamatel, Janet P.

2015-01-01

Lecturing has been criticized for fostering a passive learning environment, emphasizing a one-way flow of information, and not adequately engaging students. In contrast, active-learning approaches, such as team-based learning (TBL), prioritize student interaction and engagement and create multidirectional flows of information. This paper presents…

Visual Storyboarding Provides a Conceptual Bridge from Research to Development: Students Can Imagine the Results of Their Decision Making, and Their Prioritization of the Many Facets of the Design Problem Will Facilitate the Development of a Strong Final Solution

ERIC Educational Resources Information Center

Reeder, Kevin

2005-01-01

In order to facilitate the selection/prioritization process and bridge the gap of design research to design conceptualization, students need to visualize the big picture that describes how the research categories such as "user," "marketing," "functional/mechanical research" are related. This is achieved through the use of a visual storyboard. The…

The Insertion of Human Factors Concerns into NextGen Programmatic Decisions

NASA Technical Reports Server (NTRS)

Beard, Bettina L.; Holbrook, Jon Brian; Seely, Rachel

2013-01-01

Since the costs of proposed improvements in air traffic management exceed available funding, FAA decision makers must select and prioritize what actually gets implemented. We discuss a set of methods to help forecast operational and human performance issues and benefits before new automation is introduced. This strategy could minimize the impact of politics, assist decision makers in selecting and prioritizing potential improvements, make the process more transparent and strengthen the link between the engineering and human factors domains.

Endocrine Profiling and Prioritization of Environmental Chemicals Using ToxCast Data

PubMed Central

Reif, David M.; Martin, Matthew T.; Tan, Shirlee W.; Houck, Keith A.; Judson, Richard S.; Richard, Ann M.; Knudsen, Thomas B.; Dix, David J.; Kavlock, Robert J.

2010-01-01

Background The prioritization of chemicals for toxicity testing is a primary goal of the U.S. Environmental Protection Agency (EPA) ToxCast™ program. Phase I of ToxCast used a battery of 467 in vitro, high-throughput screening assays to assess 309 environmental chemicals. One important mode of action leading to toxicity is endocrine disruption, and the U.S. EPA’s Endocrine Disruptor Screening Program (EDSP) has been charged with screening pesticide chemicals and environmental contaminants for their potential to affect the endocrine systems of humans and wildlife. Objective The goal of this study was to develop a flexible method to facilitate the rational prioritization of chemicals for further evaluation and demonstrate its application as a candidate decision-support tool for EDSP. Methods Focusing on estrogen, androgen, and thyroid pathways, we defined putative endocrine profiles and derived a relative rank or score for the entire ToxCast library of 309 unique chemicals. Effects on other nuclear receptors and xenobiotic metabolizing enzymes were also considered, as were pertinent chemical descriptors and pathways relevant to endocrine-mediated signaling. Results Combining multiple data sources into an overall, weight-of-evidence Toxicological Priority Index (ToxPi) score for prioritizing further chemical testing resulted in more robust conclusions than any single data source taken alone. Conclusions Incorporating data from in vitro assays, chemical descriptors, and biological pathways in this prioritization schema provided a flexible, comprehensive visualization and ranking of each chemical’s potential endocrine activity. Importantly, ToxPi profiles provide a transparent visualization of the relative contribution of all information sources to an overall priority ranking. The method developed here is readily adaptable to diverse chemical prioritization tasks. PMID:20826373

Consensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis.

PubMed

Tejera, Eduardo; Cruz-Monteagudo, Maykel; Burgos, Germán; Sánchez, María-Eugenia; Sánchez-Rodríguez, Aminael; Pérez-Castillo, Yunierkis; Borges, Fernanda; Cordeiro, Maria Natália Dias Soeiro; Paz-Y-Miño, César; Rebelo, Irene

2017-08-08

Preeclampsia is a multifactorial disease with unknown pathogenesis. Even when recent studies explored this disease using several bioinformatics tools, the main objective was not directed to pathogenesis. Additionally, consensus prioritization was proved to be highly efficient in the recognition of genes-disease association. However, not information is available about the consensus ability to early recognize genes directly involved in pathogenesis. Therefore our aim in this study is to apply several theoretical approaches to explore preeclampsia; specifically those genes directly involved in the pathogenesis. We firstly evaluated the consensus between 12 prioritization strategies to early recognize pathogenic genes related to preeclampsia. A communality analysis in the protein-protein interaction network of previously selected genes was done including further enrichment analysis. The enrichment analysis includes metabolic pathways as well as gene ontology. Microarray data was also collected and used in order to confirm our results or as a strategy to weight the previously enriched pathways. The consensus prioritized gene list was rationally filtered to 476 genes using several criteria. The communality analysis showed an enrichment of communities connected with VEGF-signaling pathway. This pathway is also enriched considering the microarray data. Our result point to VEGF, FLT1 and KDR as relevant pathogenic genes, as well as those connected with NO metabolism. Our results revealed that consensus strategy improve the detection and initial enrichment of pathogenic genes, at least in preeclampsia condition. Moreover the combination of the first percent of the prioritized genes with protein-protein interaction network followed by communality analysis reduces the gene space. This approach actually identifies well known genes related with pathogenesis. However, genes like HSP90, PAK2, CD247 and others included in the first 1% of the prioritized list need to be further explored in preeclampsia pathogenesis through experimental approaches.

An application of the AHP in water resources management: a case study on urban drainage rehabilitation in Medan City

NASA Astrophysics Data System (ADS)

Tarigan, A. P. M.; Rahmad, D.; Sembiring, R. A.; Iskandar, R.

2018-02-01

This paper illustrates an application of Analytical Hierarchy Process (AHP) as a potential decision-making method in water resource management related to drainage rehabilitation. The prioritization problem of urban drainage rehabilitation in Medan City due to limited budget is used as a study case. A hierarchical structure is formed for the prioritization criteria and the alternative drainages to be rehabilitated. Based on the AHP, the prioritization criteria are ranked and a descending-order list of drainage is made in order to select the most favorable drainages to have rehabilitation. A sensitivity analysis is then conducted to check the consistency of the final decisions in case of minor changes in judgements. The results of AHP computed manually are compared with that using the software Expert Choice. It is observed that the top three ranked drainages are consistent, and both results of the AHP methods, calculated manually and performed using Expert Choice, are in agreement. It is hoped that the application of the AHP will help the decision-making process by the city government in the problem of urban drainage rehabilitation.

[Medical and scientific assessments as the basis for prioritization and resource allocation for new drug treatment - experiences from five years of systematic work].

PubMed

Wallerstedt, Susanna

2016-10-18

Medical and scientific assessments as the basis for prioritization and resource allocation for new drug treatment - experiences from five years of systematic workIn this study, the process for introduction of new drug treatment in Region Västra Götaland (second largest region in Sweden encompassing 1.6 million inhabitants, 17% of all inhabitants in Sweden) is described. A working group, consisting of persons with relevant expertise and declared conflicts of interest, contributes with medical and scientific assessments as the basis for prioritization and resource allocation. In 2011-2015, 111 new drug treatments were nominated by healthcare representatives, 84 fulfilled the criteria for assessments by the working group, and 57 (68%) were deemed to have high/medium high priority to receive introduction financing according to the severity of disease, the benefit/risk balance, and the level of evidence. When analyzing subsequent costs for new drug treatments for which data could be obtained and specifically evaluated, the results indicate that the process can contribute to rational use of medicines.

regSNPs-splicing: a tool for prioritizing synonymous single-nucleotide substitution.

PubMed

Zhang, Xinjun; Li, Meng; Lin, Hai; Rao, Xi; Feng, Weixing; Yang, Yuedong; Mort, Matthew; Cooper, David N; Wang, Yue; Wang, Yadong; Wells, Clark; Zhou, Yaoqi; Liu, Yunlong

2017-09-01

While synonymous single-nucleotide variants (sSNVs) have largely been unstudied, since they do not alter protein sequence, mounting evidence suggests that they may affect RNA conformation, splicing, and the stability of nascent-mRNAs to promote various diseases. Accurately prioritizing deleterious sSNVs from a pool of neutral ones can significantly improve our ability of selecting functional genetic variants identified from various genome-sequencing projects, and, therefore, advance our understanding of disease etiology. In this study, we develop a computational algorithm to prioritize sSNVs based on their impact on mRNA splicing and protein function. In addition to genomic features that potentially affect splicing regulation, our proposed algorithm also includes dozens structural features that characterize the functions of alternatively spliced exons on protein function. Our systematical evaluation on thousands of sSNVs suggests that several structural features, including intrinsic disorder protein scores, solvent accessible surface areas, protein secondary structures, and known and predicted protein family domains, show significant differences between disease-causing and neutral sSNVs. Our result suggests that the protein structure features offer an added dimension of information while distinguishing disease-causing and neutral synonymous variants. The inclusion of structural features increases the predictive accuracy for functional sSNV prioritization.

Customer Use Cases and Analytics for Climate Data at NOAA's National Centers for Environmental Information

NASA Astrophysics Data System (ADS)

Ritchey, N. A.; Brewer, M.; Houston, T.; Hollingshead, A.; Jones, N.; Dissen, J.

2017-12-01

NOAA's National Centers for Environmental Information (NCEI) is the world's largest repository of climate data. Customer analytics and uses of NCEI information are critical to understanding and evolving NCEI's suite of use-inspired data and information to make them applicable to decision making. Over the past three years, NCEI's Center for Weather and Climate has made a concerted effort to: 1) Establish a system for collection of user requirements, 2) Ensure that collected information informs product area management and prioritization activities, and 3) Include user insights into future products and product versions. These process changes require a long-term commitment to climate services and success is not possible with a "build it and they will come" mentality nor with a "drop-in, drop-out" customer engagement strategy. This presentation will focus on the path necessary to get from effective user engagement, centered on collection and adjudication of user requirements, all the way through the outcomes of the changed products and services and how those have benefitted users, including economic examples.

Co-occurring medical conditions in adults with Down syndrome: A systematic review toward the development of health care guidelines.

PubMed

Capone, George T; Chicoine, Brian; Bulova, Peter; Stephens, Mary; Hart, Sarah; Crissman, Blythe; Videlefsky, Andrea; Myers, Katherine; Roizen, Nancy; Esbensen, Anna; Peterson, Moya; Santoro, Stephanie; Woodward, Jason; Martin, Barry; Smith, David

2018-01-01

Adults with Down syndrome (DS) represent a unique population who are in need of clinical guidelines to address their medical care. The United States Preventive Service Task Force (USPSTF) has developed criteria for prioritizing conditions of public health importance with the potential for providing screening recommendations to improve clinical care. The quality of existing evidence needed to inform clinical guidelines has not been previously reviewed. Using the National Library of Medicine (NLM) database PubMed, we first identified 18 peer reviewed articles that addressed co-occurring medical conditions in adults with DS. Those conditions discussed in over half of the articles were prioritized for further review. Second, we performed detailed literature searches on these specific conditions. To inform the search strategy and review process a series of key questions were formulated a priori. The quality of available evidence was then graded and knowledge gaps were identified. The number of participating adults and the design of clinical studies varied by condition and were often inadequate for answering all of our key questions. We provide data on thyroid disease, cervical spine disease, hearing impairment, overweight-obesity, sleep apnea, congenital heart disease, and osteopenia-osteoporosis. Minimal evidence demonstrates massive gaps in our clinical knowledge that compromises clinical decision-making and management of these medically complex individuals. The development of evidence-based clinical guidance will require an expanded clinical knowledge-base in order to move forward. © 2017 Wiley Periodicals, Inc.

Prioritization of Companion Animal Transmissible Diseases for Policy Intervention in Europe.

PubMed

Cito, F; Rijks, J; Rantsios, A T; Cunningham, A A; Baneth, G; Guardabassi, L; Kuiken, T; Giovannini, A

2016-07-01

A number of papers have been published on the prioritization of transmissible diseases in farm animals and wildlife, based either on semiquantitative or truly quantitative methods, but there is no published literature on the prioritization of transmissible diseases in companion animals. In this study, available epidemiological data for diseases transmissible from companion animals to man were analysed with the aim of developing a procedure suitable for their prioritization within a European framework. A new method and its associated questionnaire and scoring system were designed based on methods described by the World Organisation for Animal Health (OIE). Modifications were applied to allow for the paucity of specific information on companion animal transmissible diseases. The OIE method was also adapted to the subject and to the regional scope of the interprofessional network addressing zoonotic diseases transmitted via companion animals in Europe: the Companion Animals multisectoriaL interprofessionaL Interdisciplinary Strategic Think tank On zoonoses (CALLISTO). Adaptations were made based on information collected from expert groups on viral, bacterial and parasitic diseases using a structured questionnaire, in which all questions were closed-ended. The expert groups were asked to select the most appropriate answer for each question taking into account the relevance and reliability of the data available in the scientific literature. Subsequently, the scoring of the answers obtained for each disease covered by the questionnaire was analysed to obtain two final overall scores, one for human health impact and one for agricultural economic impact. The adapted method was then applied to select the 15 most important pathogens (five for each pathogen group: viral, bacterial and parasitic) on the basis of their overall impact on public health and agriculture. The result of the prioritization exercise was a joint priority list (available at www.callistoproject.eu) of relevant pathogens according to these two criteria. As the scope of CALLISTO was comprehensive in terms of geographical area, animal species involved and impact of the diseases, the list of prioritized diseases had to accommodate the realities in different European countries and the differences in biology and animal-human relationships in a wide range of species including cats and dogs, pet pigs and sheep as well as captive reptiles. The methodology presented in this paper can be used to generate accurate priority lists according to narrower and more specific objectives. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Use of failure mode, effect and criticality analysis to improve safety in the medication administration process.

PubMed

Rodriguez-Gonzalez, Carmen Guadalupe; Martin-Barbero, Maria Luisa; Herranz-Alonso, Ana; Durango-Limarquez, Maria Isabel; Hernandez-Sampelayo, Paloma; Sanjurjo-Saez, Maria

2015-08-01

To critically evaluate the causes of preventable adverse drug events during the nurse medication administration process in inpatient units with computerized prescription order entry and profiled automated dispensing cabinets in order to prioritize interventions that need to be implemented and to evaluate the impact of specific interventions on the criticality index. This is a failure mode, effects and criticality analysis (FMECA) study. A multidisciplinary consensus committee composed of pharmacists, nurses and doctors evaluated the process of administering medications in a hospital setting in Spain. By analysing the process, all failure modes were identified and criticality was determined by rating severity, frequency and likelihood of failure detection on a scale of 1 to 10, using adapted versions of already published scales. Safety strategies were identified and prioritized. Through consensus, the committee identified eight processes and 40 failure modes, of which 20 were classified as high risk. The sum of the criticality indices was 5254. For the potential high-risk failure modes, 21 different potential causes were found resulting in 24 recommendations. Thirteen recommendations were prioritized and developed over a 24-month period, reducing total criticality from 5254 to 3572 (a 32.0% reduction). The recommendations with a greater impact on criticality were the development of an electronic medication administration record (-582) and the standardization of intravenous drug compounding in the unit (-168). Other improvements, such as barcode medication administration technology (-1033), were scheduled for a longer period of time because of lower feasibility. FMECA is a useful approach that can improve the medication administration process. © 2015 John Wiley & Sons, Ltd.

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research.

PubMed

Bravo, Àlex; Piñero, Janet; Queralt-Rosinach, Núria; Rautschka, Michael; Furlong, Laura I

2015-02-21

Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from free text repositories. We present the BeFree system aimed at identifying relationships between biomedical entities with a special focus on genes and their associated diseases. By exploiting morpho-syntactic information of the text, BeFree is able to identify gene-disease, drug-disease and drug-target associations with state-of-the-art performance. The application of BeFree to real-case scenarios shows its effectiveness in extracting information relevant for translational research. We show the value of the gene-disease associations extracted by BeFree through a number of analyses and integration with other data sources. BeFree succeeds in identifying genes associated to a major cause of morbidity worldwide, depression, which are not present in other public resources. Moreover, large-scale extraction and analysis of gene-disease associations, and integration with current biomedical knowledge, provided interesting insights on the kind of information that can be found in the literature, and raised challenges regarding data prioritization and curation. We found that only a small proportion of the gene-disease associations discovered by using BeFree is collected in expert-curated databases. Thus, there is a pressing need to find alternative strategies to manual curation, in order to review, prioritize and curate text-mining data and incorporate it into domain-specific databases. We present our strategy for data prioritization and discuss its implications for supporting biomedical research and applications. BeFree is a novel text mining system that performs competitively for the identification of gene-disease, drug-disease and drug-target associations. Our analyses show that mining only a small fraction of MEDLINE results in a large dataset of gene-disease associations, and only a small proportion of this dataset is actually recorded in curated resources (2%), raising several issues on data prioritization and curation. We propose that joint analysis of text mined data with data curated by experts appears as a suitable approach to both assess data quality and highlight novel and interesting information.

Identifying and prioritizing the preference criteria using analytical hierarchical process for a student-lecturer allocation problem of internship programme

NASA Astrophysics Data System (ADS)

Faudzi, Syakinah; Abdul-Rahman, Syariza; Rahman, Rosshairy Abd; Hew, Jafri Hj. Zulkepli

2016-10-01

This paper discusses on identifying and prioritizing the student's preference criteria towards supervisor using Analytical Hierarchical Process (AHP) for student-lecturer allocation problem of internship programme. Typically a wide number of students undertake internship every semester and many preferences criteria may involve when assigning students to lecturer for supervision. Thus, identifying and prioritizing the preference criteria of assigning students to lecturer is critically needed especially when involving many preferences. AHP technique is used to prioritize the seven criteria which are capacity, specialization, academic position, availability, professional support, relationship and gender. Student's preference alternative is classified based on lecturer's academic position which are lecturer, senior lecturer, associate professor and professor. Criteria are ranked to find the best preference criteria and alternatives of the supervisor that students prefer to have. This problem is solved using Expert Choice 11 software. A sample of 30 respondents who are from semester 6 and above are randomly selected to participate in the study. By using questionnaire as our medium in collecting the student's data, consistency index is produced to validate the proposed study. Findings and result showed that, the most important preference criteria is professional support. It is followed by specialization, availability, relationship, gender, academic position and capacity. This study found that student would like to have a supportive supervisor because lack of supervision can lead the students to achieve low grade and knowledge from the internship session.

Failure mode and effects analysis: an empirical comparison of failure mode scoring procedures.

PubMed

Ashley, Laura; Armitage, Gerry

2010-12-01

To empirically compare 2 different commonly used failure mode and effects analysis (FMEA) scoring procedures with respect to their resultant failure mode scores and prioritization: a mathematical procedure, where scores are assigned independently by FMEA team members and averaged, and a consensus procedure, where scores are agreed on by the FMEA team via discussion. A multidisciplinary team undertook a Healthcare FMEA of chemotherapy administration. This included mapping the chemotherapy process, identifying and scoring failure modes (potential errors) for each process step, and generating remedial strategies to counteract them. Failure modes were scored using both an independent mathematical procedure and a team consensus procedure. Almost three-fifths of the 30 failure modes generated were scored differently by the 2 procedures, and for just more than one-third of cases, the score discrepancy was substantial. Using the Healthcare FMEA prioritization cutoff score, almost twice as many failure modes were prioritized by the consensus procedure than by the mathematical procedure. This is the first study to empirically demonstrate that different FMEA scoring procedures can score and prioritize failure modes differently. It found considerable variability in individual team members' opinions on scores, which highlights the subjective and qualitative nature of failure mode scoring. A consensus scoring procedure may be most appropriate for FMEA as it allows variability in individuals' scores and rationales to become apparent and to be discussed and resolved by the team. It may also yield team learning and communication benefits unlikely to result from a mathematical procedure.

Scoping of Flood Hazard Mapping Needs for Androscoggin County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed and as funds allow. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine Floodplain Management Program (MFMP) State Planning Office, began scoping work in 2006 for Androscoggin County. Scoping activities included assembling existing data and map needs information for communities in Androscoggin County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database with information gathered during the scoping process. The average age of the FEMA floodplain maps in Androscoggin County, Maine, is at least 17 years. Most studies were published in the early 1990s, and some towns have partial maps that are more recent than their study date. Since the studies were done, development has occurred in many of the watersheds and the characteristics of the watersheds have changed with time. Therefore, many of the older studies may not depict current conditions nor accurately estimate risk in terms of flood heights or flood mapping.

Scoping of Flood Hazard Mapping Needs for Lincoln County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine Floodplain Management Program (MFMP) State Planning Office, began scoping work in 2006 for Lincoln County. Scoping activities included assembling existing data and map needs information for communities in Lincoln County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) database with information gathered during the scoping process. The average age of the FEMA floodplain maps in Lincoln County, Maine is at least 17 years. Many of these studies were published in the mid- to late-1980s, and some towns have partial maps that are more recent than their study. However, in the ensuing 15-20 years, development has occurred in many of the watersheds, and the characteristics of the watersheds have changed with time. Therefore, many of the older studies may not depict current conditions nor accurately estimate risk in terms of flood heights or flood mapping.

National Air Toxics Assessment (NATA)

EPA Pesticide Factsheets

NATA provides estimates of the risk of cancer and other serious health effects from inhaling air toxics in order to inform both national and more localized efforts to identify and prioritize air toxics, emission source types.

INCOG recommendations for management of cognition following traumatic brain injury, part II: attention and information processing speed.

PubMed

Ponsford, Jennie; Bayley, Mark; Wiseman-Hakes, Catherine; Togher, Leanne; Velikonja, Diana; McIntyre, Amanda; Janzen, Shannon; Tate, Robyn

2014-01-01

Traumatic brain injury, due to its diffuse nature and high frequency of injury to frontotemporal and midbrain reticular activating systems, may cause disruption in many aspects of attention: arousal, selective attention, speed of information processing, and strategic control of attention, including sustained attention, shifting and dividing of attention, and working memory. An international team of researchers and clinicians (known as INCOG) convened to develop recommendations for the management of attentional problems. The experts selected recommendations from published guidelines and then reviewed literature to ensure that recommendations were current. Decision algorithms incorporating the recommendations based on inclusion and exclusion criteria of published trials were developed. The team then prioritized recommendations for implementation and developed audit criteria to evaluate adherence to these best practices. The recommendations and discussion highlight that metacognitive strategy training focused on functional everyday activities is appropriate. Appropriate use of dual task training, environmental modifications, and cognitive behavioral therapy is also discussed. There is insufficient evidence to support mindfulness meditation and practice on de-contextualized computer-based tasks for attention. Administration of the medication methylphenidate should be considered to improve information-processing speed. The INCOG recommendations for rehabilitation of attention provide up-to-date guidance for clinicians treating people with traumatic brain injury.

Emotion strengthens high priority memory traces but weakens low priority memory traces

PubMed Central

Sakaki, Michiko; Fryer, Kellie; Mather, Mara

2014-01-01

When encountering emotional events, memory for those events is typically enhanced. But it has been unclear how emotionally arousing events influence memory for preceding information. Does emotional arousal induce retrograde amnesia or retrograde enhancement? The current study revealed that this depends on the top-down goal relevance of the preceding information. Across three studies, we found that emotional arousal induced by one image facilitated memory for the preceding neutral item when people prioritized that neutral item. In contrast, an emotional image impaired memory for the preceding neutral item when people did not prioritize that neutral item. Emotional arousal elicited by negative and positive pictures both showed this pattern of enhancing or impairing memory for the preceding stimulus depending on its priority. These results indicate that emotional arousal amplifies the effects of top-down priority in memory formation. PMID:24311478

HSQC-TOCSY Fingerprinting for Prioritization of Polyketide- and Peptide-Producing Microbial Isolates.

PubMed

Buedenbender, Larissa; Habener, Leesa J; Grkovic, Tanja; Kurtböke, D İpek; Duffy, Sandra; Avery, Vicky M; Carroll, Anthony R

2018-04-27

Microbial products are a promising source for drug leads as a result of their unique structural diversity. However, reisolation of already known natural products significantly hampers the discovery process, and it is therefore important to incorporate effective microbial isolate selection and dereplication protocols early in microbial natural product studies. We have developed a systematic approach for prioritization of microbial isolates for natural product discovery based on heteronuclear single-quantum correlation-total correlation spectroscopy (HSQC-TOCSY) nuclear magnetic resonance profiles in combination with antiplasmodial activity of extracts. The HSQC-TOCSY experiments allowed for unfractionated microbial extracts containing polyketide and peptidic natural products to be rapidly identified. Here, we highlight how this approach was used to prioritize extracts derived from a library of 119 ascidian-associated actinomycetes that possess a higher potential to produce bioactive polyketides and peptides.

76 FR 12361 - Request for Information: Update of NIOSH Nanotechnology Strategic Plan for Research and Guidance

Federal Register 2010, 2011, 2012, 2013, 2014

2011-03-07

... NIOSH 134-A] Request for Information: Update of NIOSH Nanotechnology Strategic Plan for Research and... management research that should be considered for updating the NIOSH 2009 nanotechnology strategic plan... identifying and prioritizing nanotechnology research. In 2009 this strategic plan [http:// www.cdc.gov/niosh...

An Examination of the Correlative Effects of IT Outsourcing with IT Agility, IT Strategic Alignment and IT Effectiveness

ERIC Educational Resources Information Center

Eichman, Bruce W.

2013-01-01

Organizational executives are concerned with the insufficient alignment of Information Technology (IT) investments to achieve computed based information systems effectiveness. Survey results of senior executives determined that in spite of applying enormous amounts of resources and energy attempting to prioritize and effectively align these…

Visual Search Asymmetries within Color-Coded and Intensity-Coded Displays

ERIC Educational Resources Information Center

Yamani, Yusuke; McCarley, Jason S.

2010-01-01

Color and intensity coding provide perceptual cues to segregate categories of objects within a visual display, allowing operators to search more efficiently for needed information. Even within a perceptually distinct subset of display elements, however, it may often be useful to prioritize items representing urgent or task-critical information.…

Seeing behind the Surface: Communicative Demonstration Boosts Category Disambiguation in 12-Month-Olds

ERIC Educational Resources Information Center

Kovács, Ágnes M.; Téglás, Erno; Gergely, György; Csibra, Gergely

2017-01-01

In their first years, infants acquire an incredible amount of information regarding the objects present in their environment. While often it is not clear what specific information should be prioritized in encoding from the many characteristics of an object, different types of object representations facilitate different types of generalizations. We…

Strategizing for Public Policy: The Information Literacy State Proclamation Project

ERIC Educational Resources Information Center

Weiner, Sharon A.; Jackman, Lana W.; Prause, Emily

2013-01-01

This article describes a project designed to raise the awareness of policymakers about the importance of information literacy to achieve societal goals. Issues benefit from the governmental support, prioritization, mandates, and funding that can result when there is policy behind them. Studies indicate that many people lack the ability to draw on…

Validating the Octave Allegro Information Systems Risk Assessment Methodology: A Case Study

ERIC Educational Resources Information Center

Keating, Corland G.

2014-01-01

An information system (IS) risk assessment is an important part of any successful security management strategy. Risk assessments help organizations to identify mission-critical IS assets and prioritize risk mitigation efforts. Many risk assessment methodologies, however, are complex and can only be completed successfully by highly qualified and…

High-Throughput Models for Exposure-Based Chemical ...

EPA Pesticide Factsheets

The United States Environmental Protection Agency (U.S. EPA) must characterize potential risks to human health and the environment associated with manufacture and use of thousands of chemicals. High-throughput screening (HTS) for biological activity allows the ToxCast research program to prioritize chemical inventories for potential hazard. Similar capabilities for estimating exposure potential would support rapid risk-based prioritization for chemicals with limited information; here, we propose a framework for high-throughput exposure assessment. To demonstrate application, an analysis was conducted that predicts human exposure potential for chemicals and estimates uncertainty in these predictions by comparison to biomonitoring data. We evaluated 1936 chemicals using far-field mass balance human exposure models (USEtox and RAIDAR) and an indicator for indoor and/or consumer use. These predictions were compared to exposures inferred by Bayesian analysis from urine concentrations for 82 chemicals reported in the National Health and Nutrition Examination Survey (NHANES). Joint regression on all factors provided a calibrated consensus prediction, the variance of which serves as an empirical determination of uncertainty for prioritization on absolute exposure potential. Information on use was found to be most predictive; generally, chemicals above the limit of detection in NHANES had consumer/indoor use. Coupled with hazard HTS, exposure HTS can place risk earlie

Combining genetic and demographic information to prioritize conservation efforts for anadromous alewife and blueback herring

PubMed Central

Palkovacs, Eric P; Hasselman, Daniel J; Argo, Emily E; Gephard, Stephen R; Limburg, Karin E; Post, David M; Schultz, Thomas F; Willis, Theodore V

2014-01-01

A major challenge in conservation biology is the need to broadly prioritize conservation efforts when demographic data are limited. One method to address this challenge is to use population genetic data to define groups of populations linked by migration and then use demographic information from monitored populations to draw inferences about the status of unmonitored populations within those groups. We applied this method to anadromous alewife (Alosa pseudoharengus) and blueback herring (Alosa aestivalis), species for which long-term demographic data are limited. Recent decades have seen dramatic declines in these species, which are an important ecological component of coastal ecosystems and once represented an important fishery resource. Results show that most populations comprise genetically distinguishable units, which are nested geographically within genetically distinct clusters or stocks. We identified three distinct stocks in alewife and four stocks in blueback herring. Analysis of available time series data for spawning adult abundance and body size indicate declines across the US ranges of both species, with the most severe declines having occurred for populations belonging to the Southern New England and the Mid-Atlantic Stocks. While all alewife and blueback herring populations deserve conservation attention, those belonging to these genetic stocks warrant the highest conservation prioritization. PMID:24567743

Landscape genetics informs mesohabitat preference and conservation priorities for a surrogate indicator species in a highly fragmented river system.

PubMed

Lean, J; Hammer, M P; Unmack, P J; Adams, M; Beheregaray, L B

2017-04-01

Poor dispersal species represent conservative benchmarks for biodiversity management because they provide insights into ecological processes influenced by habitat fragmentation that are less evident in more dispersive organisms. Here we used the poorly dispersive and threatened river blackfish (Gadopsis marmoratus) as a surrogate indicator system for assessing the effects of fragmentation in highly modified river basins and for prioritizing basin-wide management strategies. We combined individual, population and landscape-based approaches to analyze genetic variation in samples spanning the distribution of the species in Australia's Murray-Darling Basin, one of the world's most degraded freshwater systems. Our results indicate that G. marmoratus displays the hallmark of severe habitat fragmentation with notably scattered, small and demographically isolated populations with very low genetic diversity-a pattern found not only between regions and catchments but also between streams within catchments. By using hierarchically nested population sampling and assessing relationships between genetic uniqueness and genetic diversity across populations, we developed a spatial management framework that includes the selection of populations in need of genetic rescue. Landscape genetics provided an environmental criterion to identify associations between landscape features and ecological processes. Our results further our understanding of the impact that habitat quality and quantity has on habitat specialists with similarly low dispersal. They should also have practical applications for prioritizing both large- and small-scale conservation management actions for organisms inhabiting highly fragmented ecosystems.

Landscape genetics informs mesohabitat preference and conservation priorities for a surrogate indicator species in a highly fragmented river system

PubMed Central

Lean, J; Hammer, M P; Unmack, P J; Adams, M; Beheregaray, L B

2017-01-01

Poor dispersal species represent conservative benchmarks for biodiversity management because they provide insights into ecological processes influenced by habitat fragmentation that are less evident in more dispersive organisms. Here we used the poorly dispersive and threatened river blackfish (Gadopsis marmoratus) as a surrogate indicator system for assessing the effects of fragmentation in highly modified river basins and for prioritizing basin-wide management strategies. We combined individual, population and landscape-based approaches to analyze genetic variation in samples spanning the distribution of the species in Australia's Murray–Darling Basin, one of the world's most degraded freshwater systems. Our results indicate that G. marmoratus displays the hallmark of severe habitat fragmentation with notably scattered, small and demographically isolated populations with very low genetic diversity—a pattern found not only between regions and catchments but also between streams within catchments. By using hierarchically nested population sampling and assessing relationships between genetic uniqueness and genetic diversity across populations, we developed a spatial management framework that includes the selection of populations in need of genetic rescue. Landscape genetics provided an environmental criterion to identify associations between landscape features and ecological processes. Our results further our understanding of the impact that habitat quality and quantity has on habitat specialists with similarly low dispersal. They should also have practical applications for prioritizing both large- and small-scale conservation management actions for organisms inhabiting highly fragmented ecosystems. PMID:27876805

European Society of Gastrointestinal Endoscopy - Establishing the key unanswered research questions within gastrointestinal endoscopy.

PubMed

Rees, Colin J; Ngu, Wee Sing; Regula, Jaroslaw; Bisschops, Raf; Saftoiu, Adrian; Dekker, Evelien; Gralnek, Ian; Ciocirlan, Mihai; Dinis-Ribeiro, Mario; Jover, Rodrigo; Meisner, Søren; Spada, Cristiano; Hassan, Cesare; Valori, Roland; Hucl, Tomas; Le Moine, Olivier; Domagk, Dirk; Kaminski, Michal F; Bretthauer, Michael; Rutter, Matthew D; Aabakken, Lars; Ponchon, Thierry; Fockens, Paul; Siersema, Peter D

2016-10-01

Background and study aim: Gastrointestinal endoscopy is a rapidly evolving research field. The European Society of Gastrointestinal Endoscopy (ESGE) plays a key role in shaping opinion and endoscopy activity throughout Europe and further afield. Establishing key unanswered questions within the field of endoscopy and prioritizing those that are important enables researchers and funders to appropriately allocate resources. Methods: Over 2 years, the ESGE Research Committee gathered information on research priorities and refined them through a modified Delphi approach. Consultations were held with the ESGE Governing Board and Quality Improvement Committee to identify important unanswered questions. Research workshops were held at the 21st United European Gastroenterology Week. Research questions were refined by the ESGE Research Committee and Governing Board, compiled into an online survey, and distributed to all ESGE members, who were invited to rank each question by priority. Results: The final questionnaire yielded 291 responses from over 60 countries. The three countries with the highest response rates were Spain, Italy, and United Kingdom. Most responders were from teaching hospitals (62 %) and were specialist endoscopists (51 %). Responses were analyzed with weighted rankings, resulting in prioritization of 26 key unanswered questions. The top ranked generic questions were: 1) How do we define the correct surveillance interval following endoscopic diagnosis? 2) How do we correctly utilize advanced endoscopic imaging? 3) What are the best markers of endoscopy quality? Conclusion: Following this comprehensive process, the ESGE has identified and ranked the key unanswered questions within the field of gastrointestinal endoscopy. Researchers, funders, and journals should prioritize studies that seek to answer these important questions. © Georg Thieme Verlag KG Stuttgart · New York.

The dilemma in prioritizing chemicals for environmental analysis: known versus unknown hazards.

PubMed

Anna, Sobek; Sofia, Bejgarn; Christina, Rudén; Magnus, Breitholtz

2016-08-10

A major challenge for society is to manage the risks posed by the many chemicals continuously emitted to the environment. All chemicals in production and use cannot be monitored and science-based strategies for prioritization are essential. In this study we review available data to investigate which substances are included in environmental monitoring programs and published research studies reporting analyses of chemicals in Baltic Sea fish between 2000 and 2012. Our aim is to contribute to the discussion of priority settings in environmental chemical monitoring and research, which is closely linked to chemical management. In total, 105 different substances or substance groups were analyzed in Baltic Sea fish. Polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans (PCDD/Fs) and polychlorinated biphenyls (PCBs) were the most studied substances or substance groups. The majority, 87%, of all analyses comprised 20% of the substances or substance groups, whereas 46 substance groups (44%) were analyzed only once. Almost three quarters of all analyses regarded a POP-substance (persistent organic pollutant). These results demonstrate that the majority of analyses on environmental contaminants in Baltic Sea fish concern a small number of already regulated chemicals. Legacy pollutants such as POPs pose a high risk to the Baltic Sea due to their hazardous properties. Yet, there may be a risk that prioritizations for chemical analyses are biased based on the knowns of the past. Such biases may lead to society failing in identifying risks posed by yet unknown hazardous chemicals. Alternative and complementary ways to identify priority chemicals are needed. More transparent communication between risk assessments performed as part of the risk assessment process within REACH and monitoring programs, and information on chemicals contained in consumer articles, would offer ways to identify chemicals for environmental analysis.

Customers First: Using Process Improvement To Improve Service Quality and Efficiency.

ERIC Educational Resources Information Center

Larson, Catherine A.

1998-01-01

Describes steps in a process-improvement project for reserve book services at the University of Arizona Library: (1) plan--identify process boundaries and customer requirements, gather/analyze data, prioritize problems; (2) do--encourage divergent thinking, reach convergent thinking, find solutions; (3) check--pilot solutions, compare costs; and…

Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential

PubMed Central

Mitchell, Jade; Arnot, Jon A.; Jolliet, Olivier; Georgopoulos, Panos G.; Isukapalli, Sastry; Dasgupta, Surajit; Pandian, Muhilan; Wambaugh, John; Egeghy, Peter; Cohen Hubal, Elaine A.; Vallero, Daniel A.

2014-01-01

While only limited data are available to characterize the potential toxicity of over 8 million commercially available chemical substances, there is even less information available on the exposure and use-scenarios that are required to link potential toxicity to human and ecological health outcomes. Recent improvements and advances such as high throughput data gathering, high performance computational capabilities, and predictive chemical inherency methodology make this an opportune time to develop an exposure-based prioritization approach that can systematically utilize and link the asymmetrical bodies of knowledge for hazard and exposure. In response to the US EPA’s need to develop novel approaches and tools for rapidly prioritizing chemicals, a “Challenge” was issued to several exposure model developers to aid the understanding of current systems in a broader sense and to assist the US EPA’s effort to develop an approach comparable to other international efforts. A common set of chemicals were prioritized under each current approach. The results are presented herein along with a comparative analysis of the rankings of the chemicals based on metrics of exposure potential or actual exposure estimates. The analysis illustrates the similarities and differences across the domains of information incorporated in each modeling approach. The overall findings indicate a need to reconcile exposures from diffuse, indirect sources (far-field) with exposures from directly, applied chemicals in consumer products or resulting from the presence of a chemical in a microenvironment like a home or vehicle. Additionally, the exposure scenario, including the mode of entry into the environment (i.e. through air, water or sediment) appears to be an important determinant of the level of agreement between modeling approaches. PMID:23707726

Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential.

PubMed

Mitchell, Jade; Arnot, Jon A; Jolliet, Olivier; Georgopoulos, Panos G; Isukapalli, Sastry; Dasgupta, Surajit; Pandian, Muhilan; Wambaugh, John; Egeghy, Peter; Cohen Hubal, Elaine A; Vallero, Daniel A

2013-08-01

While only limited data are available to characterize the potential toxicity of over 8 million commercially available chemical substances, there is even less information available on the exposure and use-scenarios that are required to link potential toxicity to human and ecological health outcomes. Recent improvements and advances such as high throughput data gathering, high performance computational capabilities, and predictive chemical inherency methodology make this an opportune time to develop an exposure-based prioritization approach that can systematically utilize and link the asymmetrical bodies of knowledge for hazard and exposure. In response to the US EPA's need to develop novel approaches and tools for rapidly prioritizing chemicals, a "Challenge" was issued to several exposure model developers to aid the understanding of current systems in a broader sense and to assist the US EPA's effort to develop an approach comparable to other international efforts. A common set of chemicals were prioritized under each current approach. The results are presented herein along with a comparative analysis of the rankings of the chemicals based on metrics of exposure potential or actual exposure estimates. The analysis illustrates the similarities and differences across the domains of information incorporated in each modeling approach. The overall findings indicate a need to reconcile exposures from diffuse, indirect sources (far-field) with exposures from directly, applied chemicals in consumer products or resulting from the presence of a chemical in a microenvironment like a home or vehicle. Additionally, the exposure scenario, including the mode of entry into the environment (i.e. through air, water or sediment) appears to be an important determinant of the level of agreement between modeling approaches. Copyright © 2013 Elsevier B.V. All rights reserved.

Informed actions: where to cost effectively manage multiple threats to species to maximize return on investment.

PubMed

Auerbach, Nancy A; Tulloch, Ayesha I T; Possingham, Hugh P

Conservation practitioners, faced with managing multiple threats to biodiversity and limited funding, must prioritize investment in different management actions. From an economic perspective, it is routine practice to invest where the highest rate of return is expected. This return-on-investment (ROI) thinking can also benefit species conservation, and researchers are developing sophisticated approaches to support decision-making for cost-effective conservation. However, applied use of these approaches is limited. Managers may be wary of “black-box” algorithms or complex methods that are difficult to explain to funding agencies. As an alternative, we demonstrate the use of a basic ROI analysis for determining where to invest in cost-effective management to address threats to species. This method can be applied using basic geographic information system and spreadsheet calculations. We illustrate the approach in a management action prioritization for a biodiverse region of eastern Australia. We use ROI to prioritize management actions for two threats to a suite of threatened species: habitat degradation by cattle grazing, and predation by invasive red foxes (Vulpes vulpes). We show how decisions based on cost-effective threat management depend upon how expected benefits to species are defined and how benefits and costs co-vary. By considering a combination of species richness, restricted habitats, species vulnerability, and costs of management actions, small investments can result in greater expected benefit compared with management decisions that consider only species richness. Furthermore, a landscape management strategy that implements multiple actions is more efficient than managing only for one threat, or more traditional approaches that don't consider ROI. Our approach provides transparent and logical decision support for prioritizing different actions intended to abate threats associated with multiple species; it is of use when managers need a justifiable and repeatable approach to investment.

Using formative research to lay the foundation for community level HIV prevention efforts: an example from the AIDS Community Demonstration Projects.

PubMed Central

Higgins, D L; O'Reilly, K; Tashima, N; Crain, C; Beeker, C; Goldbaum, G; Elifson, C S; Galavotti, C; Guenther-Grey, C

1996-01-01

The AIDS Community Demonstration Projects provided community-level HIV prevention interventions to historically hard-to-reach groups at high risk for HIV infection. The projects operated under a common research protocol which encompassed formative research, intervention delivery, process evaluation, and outcome evaluation. A formative research process specifically focusing on intervention development was devised to assist project staff in identifying, prioritizing, accessing, and understanding the intervention target groups. This process was central to the creation of interventions that were acceptable and unique to the target populations. Intended to be rapid, the process took 6 months to complete. Drawn from the disciplines of anthropology, community psychology, sociology, and public health, the formative research process followed distinct steps which included (a) defining the populations at high-risk for HIV; (b) gathering information about these populations through interviews with persons who were outside of, but who had contact with, the target groups (such as staff from the health department and alcohol and drug treatment facilities, as well as persons who interacted in an informal manner with the target groups, such as clerks in neighborhood grocery stores and bartenders); (c) interviewing people with access to the target populations (gatekeepers), and conducting observations in areas where these high-risk groups were reported to gather (from previous interviews); (d) interviewing members of these groups at high risk for HIV infection or transmission; and (e) systematically integrating information throughout the process. Semistructured interview schedules were used for all data collection in this process. This standardized systematic method yielded valuable information about the focal groups in each demonstration project site. The method, if adopted by others, would assist community intervention specialists in developing interventions that are culturally appropriate and meaningful to their respective target populations. PMID:8862154

An integrated clinical and genomic information system for cancer precision medicine.

PubMed

Jang, Yeongjun; Choi, Taekjin; Kim, Jongho; Park, Jisub; Seo, Jihae; Kim, Sangok; Kwon, Yeajee; Lee, Seungjae; Lee, Sanghyuk

2018-04-20

Increasing affordability of next-generation sequencing (NGS) has created an opportunity for realizing genomically-informed personalized cancer therapy as a path to precision oncology. However, the complex nature of genomic information presents a huge challenge for clinicians in interpreting the patient's genomic alterations and selecting the optimum approved or investigational therapy. An elaborate and practical information system is urgently needed to support clinical decision as well as to test clinical hypotheses quickly. Here, we present an integrated clinical and genomic information system (CGIS) based on NGS data analyses. Major components include modules for handling clinical data, NGS data processing, variant annotation and prioritization, drug-target-pathway analysis, and population cohort explorer. We built a comprehensive knowledgebase of genes, variants, drugs by collecting annotated information from public and in-house resources. Structured reports for molecular pathology are generated using standardized terminology in order to help clinicians interpret genomic variants and utilize them for targeted cancer therapy. We also implemented many features useful for testing hypotheses to develop prognostic markers from mutation and gene expression data. Our CGIS software is an attempt to provide useful information for both clinicians and scientists who want to explore genomic information for precision oncology.

Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions.

PubMed

Bollinger, Lori A; Sanders, Rachel; Winfrey, William; Adesina, Adebiyi

2017-11-07

Achieving the Sustainable Development Goals will require careful allocation of resources in order to achieve the highest impact. The Lives Saved Tool (LiST) has been used widely to calculate the impact of maternal, neonatal and child health (MNCH) interventions for program planning and multi-country estimation in several Lancet Series commissions. As use of the LiST model increases, many have expressed a desire to cost interventions within the model, in order to support budgeting and prioritization of interventions by countries. A limited LiST costing module was introduced several years ago, but with gaps in cost types. Updates to inputs have now been added to make the module fully functional for a range of uses. This paper builds on previous work that developed an initial version of the LiST costing module to provide costs for MNCH interventions using an ingredients-based costing approach. Here, we update in 2016 the previous econometric estimates from 2013 with newly-available data and also include above-facility level costs such as program management. The updated econometric estimates inform percentages of intervention-level costs for some direct costs and indirect costs. These estimates add to existing values for direct cost requirements for items such as drugs and supplies and required provider time which were already available in LiST Costing. Results generated by the LiST costing module include costs for each intervention, as well as disaggregated costs by intervention including drug and supply costs, labor costs, other recurrent costs, capital costs, and above-service delivery costs. These results can be combined with mortality estimates to support prioritization of interventions by countries. The LiST costing module provides an option for countries to identify resource requirements for scaling up a maternal, neonatal, and child health program, and to examine the financial impact of different resource allocation strategies. It can be a useful tool for countries as they seek to identify the best investments for scarce resources. The purpose of the LiST model is to provide a tool to make resource allocation decisions in a strategic planning process through prioritizing interventions based on resulting impact on maternal and child mortality and morbidity.

The CICT Earth Science Systems Analysis Model

NASA Technical Reports Server (NTRS)

Pell, Barney; Coughlan, Joe; Biegel, Bryan; Stevens, Ken; Hansson, Othar; Hayes, Jordan

2004-01-01

Contents include the following: Computing Information and Communications Technology (CICT) Systems Analysis. Our modeling approach: a 3-part schematic investment model of technology change, impact assessment and prioritization. A whirlwind tour of our model. Lessons learned.

Qualitative Assessment of Key Messages about Nutrition and Weight Gain in Pregnancy in Printed Educational Materials in Alberta.

PubMed

Forbes, Laura; Baarda, Janis; Mayan, Maria; Bell, Rhonda C

2017-12-01

Printed educational materials are a common source of health information, although their effectiveness in improving women's knowledge or self-care in pregnancy has been questioned. This study describes the information in printed educational materials that address healthy eating during pregnancy and gestational weight gain (GWG) that are currently used in Alberta, Canada. Content of 6 resources was analyzed using a constant comparison qualitative approach. Resources emphasized healthy eating, prenatal supplements, folate supplementation, and healthy weight gain. More resources discussed the importance of "eating enough" than provided guidance on avoiding excessive GWG. Themes identified were: "everything is important" meaning that all healthy behaviours are important, making prioritization difficult; "more is more" emphasized eating more over moderation; "everyone is individual" suggests women seek individualized care through the care provider; and "contradictions" describes differences in content and recommendations within and between resources. New or revised versions of resources should provide congruent information with up-to-date recommendations that are easily prioritized. Care providers should be aware of contradictory information or information that does not align with current recommendations within printed educational materials and be ready to help women address the areas important for her personal behaviour change.

Emotion and anxiety potentiate the way attention alters visual appearance.

PubMed

Barbot, Antoine; Carrasco, Marisa

2018-04-12

The ability to swiftly detect and prioritize the processing of relevant information around us is critical for the way we interact with our environment. Selective attention is a key mechanism that serves this purpose, improving performance in numerous visual tasks. Reflexively attending to sudden information helps detect impeding threat or danger, a possible reason why emotion modulates the way selective attention affects perception. For instance, the sudden appearance of a fearful face potentiates the effects of exogenous (involuntary, stimulus-driven) attention on performance. Internal states such as trait anxiety can also modulate the impact of attention on early visual processing. However, attention does not only improve performance; it also alters the way visual information appears to us, e.g. by enhancing perceived contrast. Here we show that emotion potentiates the effects of exogenous attention on both performance and perceived contrast. Moreover, we found that trait anxiety mediates these effects, with stronger influences of attention and emotion in anxious observers. Finally, changes in performance and appearance correlated with each other, likely reflecting common attentional modulations. Altogether, our findings show that emotion and anxiety interact with selective attention to truly alter how we see.

Implementation of a Project Management Office (PMO)--experiences from year 1.

PubMed

Isola, Miriam; Polikaitis, Audrius; Laureto, Rose Ann

2006-01-01

Recognized as an early leader in clinical information systems, the University of Illinois Medical Center was challenged to meet the ever-increasing demand for information systems. Interviews with key stakeholders revealed unfavorable attitudes toward the Information Services department. Reasons given were that projects often are not aligned with business strategy, projects are delayed, IS itself is a barrier to progress, and a lack of proactive planning precipitates crises. Under the leadership of a new CIO, IS began developing a Project Management Office, or PMO, to better meet medical center business objectives and to more effectively manage technology projects. Successes during the first year included comprehensive IT strategic planning. Collaborative relationships were established with departmental leaders for planning, prioritizing, budgeting, and executing projects. A formal Web-based process for requesting IS projects was implemented, project management training was provided, and elements of standard project management methodology were implemented. While a framework for effective project management was created, significant effort is still required to firmly root these new processes within the organizational culture. Project management office goals for the second year include implementing a project portfolio management tool, refining the benefits methodology, and continuing the advancement of the project management methodology.

Prioritizing Chemicals for Risk Assessment Using Chemoinformatics: Examples from the IARC Monographs on Pesticides.

PubMed

Guha, Neela; Guyton, Kathryn Z; Loomis, Dana; Barupal, Dinesh Kumar

2016-12-01

Identifying cancer hazards is the first step towards cancer prevention. The International Agency for Research on Cancer (IARC) Monographs Programme, which has evaluated nearly 1,000 agents for their carcinogenic potential since 1971, typically selects agents for hazard identification on the basis of public nominations, expert advice, published data on carcinogenicity, and public health importance. Here, we present a novel and complementary strategy for identifying agents for hazard evaluation using chemoinformatics, database integration, and automated text mining. To inform selection among a broad range of pesticides nominated for evaluation, we identified and screened nearly 6,000 relevant chemical structures, after which we systematically compiled information on 980 pesticides, creating network maps that allowed cluster visualization by chemical similarity, pesticide class, and publicly available information concerning cancer epidemiology, cancer bioassays, and carcinogenic mechanisms. For the IARC Monograph meetings that took place in March and June 2015, this approach supported high-priority evaluation of glyphosate, malathion, parathion, tetrachlorvinphos, diazinon, p,p'-dichlorodiphenyltrichloroethane (DDT), lindane, and 2,4-dichlorophenoxyacetic acid (2,4-D). This systematic approach, accounting for chemical similarity and overlaying multiple data sources, can be used by risk assessors as well as by researchers to systematize, inform, and increase efficiency in selecting and prioritizing agents for hazard identification, risk assessment, regulation, or further investigation. This approach could be extended to an array of outcomes and agents, including occupational carcinogens, drugs, and foods. Citation: Guha N, Guyton KZ, Loomis D, Barupal DK. 2016. Prioritizing chemicals for risk assessment using chemoinformatics: examples from the IARC Monographs on Pesticides. Environ Health Perspect 124:1823-1829; http://dx.doi.org/10.1289/EHP186.

Prioritizing Chemicals for Risk Assessment Using Chemoinformatics: Examples from the IARC Monographs on Pesticides

PubMed Central

Guha, Neela; Guyton, Kathryn Z.; Loomis, Dana; Barupal, Dinesh Kumar

2016-01-01

Background: Identifying cancer hazards is the first step towards cancer prevention. The International Agency for Research on Cancer (IARC) Monographs Programme, which has evaluated nearly 1,000 agents for their carcinogenic potential since 1971, typically selects agents for hazard identification on the basis of public nominations, expert advice, published data on carcinogenicity, and public health importance. Objectives: Here, we present a novel and complementary strategy for identifying agents for hazard evaluation using chemoinformatics, database integration, and automated text mining. Discussion: To inform selection among a broad range of pesticides nominated for evaluation, we identified and screened nearly 6,000 relevant chemical structures, after which we systematically compiled information on 980 pesticides, creating network maps that allowed cluster visualization by chemical similarity, pesticide class, and publicly available information concerning cancer epidemiology, cancer bioassays, and carcinogenic mechanisms. For the IARC Monograph meetings that took place in March and June 2015, this approach supported high-priority evaluation of glyphosate, malathion, parathion, tetrachlorvinphos, diazinon, p,p′-dichlorodiphenyltrichloroethane (DDT), lindane, and 2,4-dichlorophenoxyacetic acid (2,4-D). Conclusions: This systematic approach, accounting for chemical similarity and overlaying multiple data sources, can be used by risk assessors as well as by researchers to systematize, inform, and increase efficiency in selecting and prioritizing agents for hazard identification, risk assessment, regulation, or further investigation. This approach could be extended to an array of outcomes and agents, including occupational carcinogens, drugs, and foods. Citation: Guha N, Guyton KZ, Loomis D, Barupal DK. 2016. Prioritizing chemicals for risk assessment using chemoinformatics: examples from the IARC Monographs on Pesticides. Environ Health Perspect 124:1823–1829; http://dx.doi.org/10.1289/EHP186 PMID:27164621

Patient needs and research priorities in the enteral nutrition market - a quantitative prioritization analysis.

PubMed

Weenen, T C; Jentink, A; Pronker, E S; Commandeur, H R; Claassen, E; Boirie, Y; Singer, P

2014-10-01

A quantitative systematic identification and prioritization of unmet needs and research opportunities in relation to enteral nutrition was conducted by means of a tailor-made health research prioritization process. The research objectives were reached by conducting qualitative interviews followed by quantitative questionnaires targeting enteral nutrition key opinion leaders (KOLs). (1) Define disease areas that deserve more research attention; (2) Rank importance of product characteristics of tube feeding (TF) and oral nutritional supplements (ONS); (3) Assess involvement of KOLs in enteral nutrition R&D process. KOLs ranked three product characteristics and three disease areas that deserve additional research attention. From these, overall priority scores were calculated by multiplying ranks for both product characteristics and disease areas. 17 qualitative interviews were conducted and 77 questionnaires (response rate 35%) were completed and returned. (1) Disease areas in ONS and TF with highest priorities are: ONS: general malnutrition & geriatrics, TF: intensive care. (2) TF product characteristics with highest priorities are: composition and clinical evidence from a KOL perspective; tolerance and ease of use from a patient perspective. ONS product characteristics with highest priorities are: composition, clinical evidence and taste from a KOL perspective; taste from a patient perspective. We find a high discrepancy between product characteristic prioritization from a KOL and patient perspective. (3) Although 62% of all KOLs give advice to enteral nutrition companies on patient needs, they under-influence the setting of research priorities by enteral nutrition companies. This study provides a systematic approach to achieve research prioritization in enteral nutrition. In addition to providing new directions for enteral nutrition research and development, this study highlights the relevance of involving KOLs in the identification of research priorities as they have the ability to provide a balanced view of the unmet patient needs. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Communicable Diseases Prioritized According to Their Public Health Relevance, Sweden, 2013

PubMed Central

Dahl, Viktor; Tegnell, Anders; Wallensten, Anders

2015-01-01

To establish strategic priorities for the Public Health Agency of Sweden we prioritized pathogens according to their public health relevance in Sweden in order to guide resource allocation. We then compared the outcome to ongoing surveillance. We used a modified prioritization method developed at the Robert Koch Institute in Germany. In a Delphi process experts scored pathogens according to ten variables. We ranked the pathogens according to the total score and divided them into four priority groups. We then compared the priority groups to self-reported time spent on surveillance by epidemiologists and ongoing programmes for surveillance through mandatory and/or voluntary notifications and for surveillance of typing results. 106 pathogens were scored. The result of the prioritization process was similar to the outcome of the prioritization in Germany. Common pathogens such as calicivirus and Influenza virus as well as blood-borne pathogens such as human immunodeficiency virus, hepatitis B and C virus, gastro-intestinal infections such as Campylobacter and Salmonella and vector-borne pathogens such as Borrelia were all in the highest priority group. 63% of time spent by epidemiologists on surveillance was spent on pathogens in the highest priority group and all pathogens in the highest priority group, except for Borrelia and varicella-zoster virus, were under surveillance through notifications. Ten pathogens in the highest priority group (Borrelia, calicivirus, Campylobacter, Echinococcus multilocularis, hepatitis C virus, HIV, respiratory syncytial virus, SARS- and MERS coronavirus, tick-borne encephalitis virus and varicella-zoster virus) did not have any surveillance of typing results. We will evaluate the possibilities of surveillance for the pathogens in the highest priority group where we currently do not have any ongoing surveillance and evaluate the need of surveillance for the pathogens from the low priority group where there is ongoing surveillance in order to focus our work on the pathogens with the highest relevance. PMID:26397699

Assessment of Sensor Technologies for Advanced Reactors

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

Korsah, Kofi; Ramuhalli, Pradeep; Vlim, R.

2016-10-01

Sensors and measurement technologies provide information on processes, support operations and provide indications of component health. They are therefore crucial to plant operations and to commercialization of advanced reactors (AdvRx). This report, developed by a three-laboratory team consisting of Argonne National Laboratory (ANL), Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL), provides an assessment of sensor technologies and a determination of measurement needs for AdvRx. It provides the technical basis for identifying and prioritizing research targets within the instrumentation and control (I&C) Technology Area under the Department of Energy’s (DOE’s) Advanced Reactor Technology (ART) program and contributesmore » to the design and implementation of AdvRx concepts.« less

Progressive Band Selection

NASA Technical Reports Server (NTRS)

Fisher, Kevin; Chang, Chein-I

2009-01-01

Progressive band selection (PBS) reduces spectral redundancy without significant loss of information, thereby reducing hyperspectral image data volume and processing time. Used onboard a spacecraft, it can also reduce image downlink time. PBS prioritizes an image's spectral bands according to priority scores that measure their significance to a specific application. Then it uses one of three methods to select an appropriate number of the most useful bands. Key challenges for PBS include selecting an appropriate criterion to generate band priority scores, and determining how many bands should be retained in the reduced image. The image's Virtual Dimensionality (VD), once computed, is a reasonable estimate of the latter. We describe the major design details of PBS and test PBS in a land classification experiment.

Identifying chemicals that are planetary boundary threats.

PubMed

MacLeod, Matthew; Breitholtz, Magnus; Cousins, Ian T; de Wit, Cynthia A; Persson, Linn M; Rudén, Christina; McLachlan, Michael S

2014-10-07

Rockström et al. proposed a set of planetary boundaries that delimit a "safe operating space for humanity". Many of the planetary boundaries that have so far been identified are determined by chemical agents. Other chemical pollution-related planetary boundaries likely exist, but are currently unknown. A chemical poses an unknown planetary boundary threat if it simultaneously fulfills three conditions: (1) it has an unknown disruptive effect on a vital Earth system process; (2) the disruptive effect is not discovered until it is a problem at the global scale, and (3) the effect is not readily reversible. In this paper, we outline scenarios in which chemicals could fulfill each of the three conditions, then use the scenarios as the basis to define chemical profiles that fit each scenario. The chemical profiles are defined in terms of the nature of the effect of the chemical and the nature of exposure of the environment to the chemical. Prioritization of chemicals in commerce against some of the profiles appears feasible, but there are considerable uncertainties and scientific challenges that must be addressed. Most challenging is prioritizing chemicals for their potential to have a currently unknown effect on a vital Earth system process. We conclude that the most effective strategy currently available to identify chemicals that are planetary boundary threats is prioritization against profiles defined in terms of environmental exposure combined with monitoring and study of the biogeochemical processes that underlie vital Earth system processes to identify currently unknown disruptive effects.

Participatory methods for research prioritization in primary care: an analysis of the World Café approach in Ireland and the USA.

PubMed

MacFarlane, Anne; Galvin, Rose; O'Sullivan, Madeleine; McInerney, Chris; Meagher, Eoghan; Burke, Daniel; LeMaster, Joseph W

2017-06-01

There are increasing imperatives for patients and members of the public to engage as partners in identifying health research priorities. The use of participatory methods to engage stakeholders in health care in research prioritization is not commonly reported. This article analyses the use of World Cafés as a participatory method for research prioritization with marginalized communities in Ireland and the USA. The principles of purposeful and snowball sampling were followed in both settings and a diverse range of community and health care stakeholders participated (n = 63 Ireland and n = 55 USA). The principles for a classic World Café were employed but there were novel features in each setting as well. Stewart et al.'s (Patients' and clinicians' research priorities. Health Expect 2011; 14: 439-48, conceptual framework for patient engagement was adapted and used to comparatively analyse the strengths and weaknesses of the World Cafés, focusing on agenda setting, engagement with research processes, interactional features and outputs. Design principles for World Cafés were found to align with high-quality patient engagement for research prioritization in both settings. They served to facilitate meaningful collaboration among stakeholder groups in research prioritization (research agenda setting) and explored research priorities (engagement with research). The café ambience, emphasis on hospitality and self-facilitation created an environment for dialogues within and across participating groups (interactional features). There was a commitment to follow-up actions with reference to possible subsequent research (outputs). The World Café is a valuable, participatory, flexible method that can be used with community and health care stakeholders for research prioritization with marginalized communities. © The Author 2016. Published by Oxford University Press.

Changes of Attention during Value-Based Reversal Learning Are Tracked by N2pc and Feedback-Related Negativity

PubMed Central

Oemisch, Mariann; Watson, Marcus R.; Womelsdorf, Thilo; Schubö, Anna

2017-01-01

Previously learned reward values can have a pronounced impact, behaviorally and neurophysiologically, on the allocation of selective attention. All else constant, stimuli previously associated with a high value gain stronger attentional prioritization than stimuli previously associated with a low value. The N2pc, an ERP component indicative of attentional target selection, has been shown to reflect aspects of this prioritization, by changes of mean amplitudes closely corresponding to selective enhancement of high value target processing and suppression of high value distractor processing. What has remained unclear so far is whether the N2pc also reflects the flexible and repeated behavioral adjustments needed in a volatile task environment, in which the values of stimuli are reversed often and unannounced. Using a value-based reversal learning task, we found evidence that the N2pc amplitude flexibly and reversibly tracks value-based choices during the learning of reward associated stimulus colors. Specifically, successful learning of current value-contingencies was associated with reduced N2pc amplitudes, and this effect was more apparent for distractor processing, compared with target processing. In addition, following a value reversal the feedback related negativity(FRN), an ERP component that reflects feedback processing, was amplified and co-occurred with increased N2pc amplitudes in trials following low-value feedback. Importantly, participants that showed the greatest adjustment in N2pc amplitudes based on feedback were also the most efficient learners. These results allow further insight into how changes in attentional prioritization in an uncertain and volatile environment support flexible adjustments of behavior. PMID:29163113

Changes of Attention during Value-Based Reversal Learning Are Tracked by N2pc and Feedback-Related Negativity.

PubMed

Oemisch, Mariann; Watson, Marcus R; Womelsdorf, Thilo; Schubö, Anna

2017-01-01

Previously learned reward values can have a pronounced impact, behaviorally and neurophysiologically, on the allocation of selective attention. All else constant, stimuli previously associated with a high value gain stronger attentional prioritization than stimuli previously associated with a low value. The N2pc, an ERP component indicative of attentional target selection, has been shown to reflect aspects of this prioritization, by changes of mean amplitudes closely corresponding to selective enhancement of high value target processing and suppression of high value distractor processing. What has remained unclear so far is whether the N2pc also reflects the flexible and repeated behavioral adjustments needed in a volatile task environment, in which the values of stimuli are reversed often and unannounced. Using a value-based reversal learning task, we found evidence that the N2pc amplitude flexibly and reversibly tracks value-based choices during the learning of reward associated stimulus colors. Specifically, successful learning of current value-contingencies was associated with reduced N2pc amplitudes, and this effect was more apparent for distractor processing, compared with target processing. In addition, following a value reversal the feedback related negativity(FRN), an ERP component that reflects feedback processing, was amplified and co-occurred with increased N2pc amplitudes in trials following low-value feedback. Importantly, participants that showed the greatest adjustment in N2pc amplitudes based on feedback were also the most efficient learners. These results allow further insight into how changes in attentional prioritization in an uncertain and volatile environment support flexible adjustments of behavior.

Multi-Dimensional Prioritization of Dental Caries Candidate Genes and Its Enriched Dense Network Modules

PubMed Central

Wang, Quan; Jia, Peilin; Cuenco, Karen T.; Feingold, Eleanor; Marazita, Mary L.; Wang, Lily; Zhao, Zhongming

2013-01-01

A number of genetic studies have suggested numerous susceptibility genes for dental caries over the past decade with few definite conclusions. The rapid accumulation of relevant information, along with the complex architecture of the disease, provides a challenging but also unique opportunity to review and integrate the heterogeneous data for follow-up validation and exploration. In this study, we collected and curated candidate genes from four major categories: association studies, linkage scans, gene expression analyses, and literature mining. Candidate genes were prioritized according to the magnitude of evidence related to dental caries. We then searched for dense modules enriched with the prioritized candidate genes through their protein-protein interactions (PPIs). We identified 23 modules comprising of 53 genes. Functional analyses of these 53 genes revealed three major clusters: cytokine network relevant genes, matrix metalloproteinases (MMPs) family, and transforming growth factor-beta (TGF-β) family, all of which have been previously implicated to play important roles in tooth development and carious lesions. Through our extensive data collection and an integrative application of gene prioritization and PPI network analyses, we built a dental caries-specific sub-network for the first time. Our study provided insights into the molecular mechanisms underlying dental caries. The framework we proposed in this work can be applied to other complex diseases. PMID:24146904

Patients Prioritize Waitlist over Post-Transplant Outcomes When Evaluating Kidney Transplant Centers.

PubMed

Husain, S Ali; Brennan, Corey; Michelson, Ariane; Tsapepas, Demetra; Patzer, Rachel E; Schold, Jesse D; Mohan, Sumit

2018-06-26

Factors that patients value when choosing a transplant center have not been well studied. In order to guide the improvement of patient-facing materials, we conducted an anonymous electronic survey of National Kidney Foundation Patient Panel members that assessed relative importance of patient experience, practical considerations, transplant center reputation, center experience, and waitlist when selecting a transplant center. 409 respondents completed the survey, of whom 68% were kidney transplant recipients and 32% had chronic kidney disease or were on dialysis (CKD). Participants had mean age 56±12 years and were predominantly female (61%), white (79%), and had an associate's degree or higher (68%). Participants most often prioritized waitlist when evaluating transplant centers (transplanted 26%, CKD 40%), and waitlist was almost twice as likely as outcomes to be ranked most important (30% vs 17%). Education level and transplant status were significantly associated with center prioritization. Waitlisted respondents most commonly (48%) relied on physicians for information when selecting a center, while a minority cited transplant-specific organizations. In order to improve shared decision-making, materials outlining center-specific waitlist features should be prioritized. Novel patient-oriented metrics for measuring transplant center quality that align with patient priorities must be explored. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

About the composition of self-relevance: Conjunctions not features are bound to the self.

PubMed

Schäfer, Sarah; Frings, Christian; Wentura, Dirk

2016-06-01

Sui and colleagues (Journal of Experimental Psychology: Human Perception and Performance, 38, 1105-1117, 2012) introduced a matching paradigm to investigate prioritized processing of instructed self-relevance. They arbitrarily assigned simple geometric shapes to the participant and two other persons. Subsequently, the task was to judge whether label-shape pairings matched or not. The authors found a remarkable self-prioritization effect, that is, for matching self-related trials verification was very fast and accurate in comparison to the non-matching conditions. We analyzed whether single features or feature conjunctions are tagged to the self. In particular, we assigned colored shapes to the labels and included partial-matching trials (i.e., trials in which only one feature matched the label, whereas the other feature did not match the label). If single features are tagged to the self, partial matches would result in interference, whereas they should elicit the same data pattern as non-matching trials if only feature conjunctions are tagged to the self. Our data suggest the latter; only feature conjunctions are tagged to the self and are processed in a prioritized manner. This result emphasizes the functionality of self-relevance as a selection mechanism.

Prioritizing guideline topics: development and evaluation of a practical tool.

PubMed

Ketola, Eeva; Toropainen, Erja; Kaila, Minna; Luoto, Riitta; Mäkelä, Marjukka

2007-08-01

A clear process for selecting and adopting clinical practice guidelines in the new topic areas is needed. The aim of this study is to design and develop a practical tool to assess guideline topics that have been suggested to the organization responsible for producing guidelines. We carried out an iterative development, feasibility and validation study of a guideline topic prioritization tool. The setting included the guideline producer organization and the tax-funded health care system. In the first stage of the tool development, participants were researchers, members of the Current Care Board and experts from health care organizations. In the second stage, the evaluation was done internally within the project by three independent reviewers. The main outcome measures were responses to an evaluation questionnaire, qualitative process feedback and analysis of the performance of the instrument on a random set of guidelines. Evaluations by three independent reviewers revealed good agreement and face validity with respect to its feasibility as a planning tool at the guideline board level. Feedback from board members suggested that the instrument is useful in prioritizing guideline topics. This instrument was accepted for use by the Board. Further developments are needed to ensure feedback and acceptability of the instrument by those proposing topics.

Nanomaterial Case Study: Nanoscale Silver in Disinfectant ...

EPA Pesticide Factsheets

EPA announced the release of the final report, Nanomaterial Case Study: Nanoscale Silver in Disinfectant Spray. This report represents a case study of engineered nanoscale silver (nano-Ag), focusing on the specific example of nano-Ag as possibly used in disinfectant sprays. This case study is organized around the comprehensive environmental assessment (CEA) framework, which structures available information pertaining to the product life cycle, environmental transport and fate, exposure-dose in receptors (i.e., humans, ecological populations, and the environment), and potential impacts in these receptors. The document does not draw conclusions about potential risks. Instead, it is intended to be used as part of a process to identify what is known and unknown about nano-Ag in a selected application. In turn, the external review draft of the document provided a starting point to identify and prioritize possible research directions to support future assessments of nanomaterials. The information presented in the case study and the questions raised in this document are a foundation for a process to determine priorities among various research topics and directions. After that process has been completed, a final chapter will be added to this document to summarize highlights from preceding chapters and the major research issues that have emerged.

Priorities of low-income urban residents for interventions to address the socio-economic determinants of health.

PubMed

Danis, Marion; Kotwani, Namrata; Garrett, Joanne; Rivera, Ivonne; Davies-Cole, John; Carter-Nolan, Pamela

2010-11-01

To determine the priorities of low-income urban residents for interventions that address the socio-economic determinants of health. We selected and estimated the cost of 16 interventions related to education, housing, nutrition, employment, health care, healthy behavior, neighborhood improvement, and transportation. Low-income residents of Washington, D.C. (N=431) participated in decision exercises to prioritize these interventions. Given a budget valued at approximately twice an estimated cost of medical and dental care ($885), the interventions ultimately prioritized by the greatest percentage of individuals were: health insurance (95%), housing vouchers (82%) dental care (82%), job training (72%), adult education (63%), counseling (68%), healthy behavior incentives (68%), and job placement (67%). The percentages of respondents who received support for housing, adult education, and job training and placement were far less than the percentage who prioritized these interventions. Poor and low-income residents' priorities may usefully inform allocation of social services that affect health.

Overcoming barriers to exercise among parents: a social cognitive theory perspective.

PubMed

Mailey, Emily L; Phillips, Siobhan M; Dlugonski, Deirdre; Conroy, David E

2016-08-01

Parents face numerous barriers to exercise and exhibit high levels of inactivity. Examining theory-based determinants of exercise among parents may inform interventions for this population. The purpose of this study was to test a social-cognitive model of parental exercise participation over a 12-month period. Mothers (n = 226) and fathers (n = 70) of children <16 completed measures of exercise, barriers self-efficacy, perceived barriers, and exercise planning at baseline and 1 year later. Panel analyses were used to test the hypothesized relationships. Barriers self-efficacy was related to exercise directly and indirectly through perceived barriers and prioritization/planning. Prioritization and planning also mediated the relationship between perceived barriers and exercise. These paths remained significant at 12 months. These results suggest efforts to increase exercise in parents should focus on improving confidence to overcome exercise barriers, reducing perceptions of barriers, and helping parents make specific plans for prioritizing and engaging in exercise.

In Silico Systems Biology Analysis of Variants of Uncertain Significance in Lynch Syndrome Supports the Prioritization of Functional Molecular Validation.

PubMed

Borras, Ester; Chang, Kyle; Pande, Mala; Cuddy, Amanda; Bosch, Jennifer L; Bannon, Sarah A; Mork, Maureen E; Rodriguez-Bigas, Miguel A; Taggart, Melissa W; Lynch, Patrick M; You, Y Nancy; Vilar, Eduardo

2017-10-01

Lynch syndrome (LS) is a genetic condition secondary to germline alterations in the DNA mismatch repair (MMR) genes with 30% of changes being variants of uncertain significance (VUS). Our aim was to perform an in silico reclassification of VUS from a large single institutional cohort that will help prioritizing functional validation. A total of 54 VUS were detected with 33 (61%) novel variants. We integrated family history, pathology, and genetic information along with supporting evidence from eight different in silico tools at the RNA and protein level. Our assessment allowed us to reclassify 54% (29/54) of the VUS as probably damaging, 13% (7/54) as possibly damaging, and 28% (15/54) as probably neutral. There are more than 1,000 VUS reported in MMR genes and our approach facilitates the prioritization of further functional efforts to assess the pathogenicity to those classified as probably damaging. Cancer Prev Res; 10(10); 580-7. ©2017 AACR . ©2017 American Association for Cancer Research.

MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing

PubMed Central

Diroma, Maria Angela; Santorsola, Mariangela; Guttà, Cristiano; Gasparre, Giuseppe; Picardi, Ernesto; Pesole, Graziano; Attimonelli, Marcella

2014-01-01

Motivation: The increasing availability of mitochondria-targeted and off-target sequencing data in whole-exome and whole-genome sequencing studies (WXS and WGS) has risen the demand of effective pipelines to accurately measure heteroplasmy and to easily recognize the most functionally important mitochondrial variants among a huge number of candidates. To this purpose, we developed MToolBox, a highly automated pipeline to reconstruct and analyze human mitochondrial DNA from high-throughput sequencing data. Results: MToolBox implements an effective computational strategy for mitochondrial genomes assembling and haplogroup assignment also including a prioritization analysis of detected variants. MToolBox provides a Variant Call Format file featuring, for the first time, allele-specific heteroplasmy and annotation files with prioritized variants. MToolBox was tested on simulated samples and applied on 1000 Genomes WXS datasets. Availability and implementation: MToolBox package is available at https://sourceforge.net/projects/mtoolbox/. Contact: marcella.attimonelli@uniba.it Supplementary information: Supplementary data are available at Bioinformatics online. PMID:25028726

Component Prioritization Schema for Achieving Maximum Time and Cost Benefits from Software Testing

NASA Astrophysics Data System (ADS)

Srivastava, Praveen Ranjan; Pareek, Deepak

Software testing is any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results. Defining the end of software testing represents crucial features of any software development project. A premature release will involve risks like undetected bugs, cost of fixing faults later, and discontented customers. Any software organization would want to achieve maximum possible benefits from software testing with minimum resources. Testing time and cost need to be optimized for achieving a competitive edge in the market. In this paper, we propose a schema, called the Component Prioritization Schema (CPS), to achieve an effective and uniform prioritization of the software components. This schema serves as an extension to the Non Homogenous Poisson Process based Cumulative Priority Model. We also introduce an approach for handling time-intensive versus cost-intensive projects.

Linking evidence to action on social determinants of health using Urban HEART in the Americas.

PubMed

Prasad, Amit; Groot, Ana Maria Mahecha; Monteiro, Teofilo; Murphy, Kelly; O'Campo, Patricia; Broide, Emilia Estivalet; Kano, Megumi

2013-12-01

To evaluate the experience of select cities in the Americas using the Urban Health Equity Assessment and Response Tool (Urban HEART) launched by the World Health Organization in 2010 and to determine its utility in supporting government efforts to improve health equity using the social determinants of health (SDH) approach. The Urban HEART experience was evaluated in four cities from 2010-2013: Guarulhos (Brazil), Toronto (Canada), and Bogotá and Medellín (Colombia). Reports were submitted by Urban HEART teams in each city and supplemented by first-hand accounts of key informants. The analysis considered each city's networks and the resources it used to implement Urban HEART; the process by which each city identified equity gaps and prioritized interventions; and finally, the facilitators and barriers encountered, along with next steps. In three cities, local governments spearheaded the process, while in the fourth (Toronto), academia initiated and led the process. All cities used Urban HEART as a platform to engage multiple stakeholders. Urban HEART's Matrix and Monitor were used to identify equity gaps within cities. While Bogotá and Medellín prioritized among existing interventions, Guarulhos adopted new interventions focused on deprived districts. Actions were taken on intermediate determinants, e.g., health systems access, and structural SDH, e.g., unemployment and human rights. Urban HEART provides local governments with a simple and systematic method for assessing and responding to health inequity. Through the SDH approach, the tool has provided a platform for intersectoral action and community involvement. While some areas of guidance could be strengthened, Urban HEART is a useful tool for directing local action on health inequities, and should be scaled up within the Region of the Americas, building upon current experience.

The Language, Tone and Prosody of Emotions: Neural Substrates and Dynamics of Spoken-Word Emotion Perception

PubMed Central

Liebenthal, Einat; Silbersweig, David A.; Stern, Emily

2016-01-01

Rapid assessment of emotions is important for detecting and prioritizing salient input. Emotions are conveyed in spoken words via verbal and non-verbal channels that are mutually informative and unveil in parallel over time, but the neural dynamics and interactions of these processes are not well understood. In this paper, we review the literature on emotion perception in faces, written words, and voices, as a basis for understanding the functional organization of emotion perception in spoken words. The characteristics of visual and auditory routes to the amygdala—a subcortical center for emotion perception—are compared across these stimulus classes in terms of neural dynamics, hemispheric lateralization, and functionality. Converging results from neuroimaging, electrophysiological, and lesion studies suggest the existence of an afferent route to the amygdala and primary visual cortex for fast and subliminal processing of coarse emotional face cues. We suggest that a fast route to the amygdala may also function for brief non-verbal vocalizations (e.g., laugh, cry), in which emotional category is conveyed effectively by voice tone and intensity. However, emotional prosody which evolves on longer time scales and is conveyed by fine-grained spectral cues appears to be processed via a slower, indirect cortical route. For verbal emotional content, the bulk of current evidence, indicating predominant left lateralization of the amygdala response and timing of emotional effects attributable to speeded lexical access, is more consistent with an indirect cortical route to the amygdala. Top-down linguistic modulation may play an important role for prioritized perception of emotions in words. Understanding the neural dynamics and interactions of emotion and language perception is important for selecting potent stimuli and devising effective training and/or treatment approaches for the alleviation of emotional dysfunction across a range of neuropsychiatric states. PMID:27877106

The Language, Tone and Prosody of Emotions: Neural Substrates and Dynamics of Spoken-Word Emotion Perception.

PubMed

Liebenthal, Einat; Silbersweig, David A; Stern, Emily

2016-01-01

Rapid assessment of emotions is important for detecting and prioritizing salient input. Emotions are conveyed in spoken words via verbal and non-verbal channels that are mutually informative and unveil in parallel over time, but the neural dynamics and interactions of these processes are not well understood. In this paper, we review the literature on emotion perception in faces, written words, and voices, as a basis for understanding the functional organization of emotion perception in spoken words. The characteristics of visual and auditory routes to the amygdala-a subcortical center for emotion perception-are compared across these stimulus classes in terms of neural dynamics, hemispheric lateralization, and functionality. Converging results from neuroimaging, electrophysiological, and lesion studies suggest the existence of an afferent route to the amygdala and primary visual cortex for fast and subliminal processing of coarse emotional face cues. We suggest that a fast route to the amygdala may also function for brief non-verbal vocalizations (e.g., laugh, cry), in which emotional category is conveyed effectively by voice tone and intensity. However, emotional prosody which evolves on longer time scales and is conveyed by fine-grained spectral cues appears to be processed via a slower, indirect cortical route. For verbal emotional content, the bulk of current evidence, indicating predominant left lateralization of the amygdala response and timing of emotional effects attributable to speeded lexical access, is more consistent with an indirect cortical route to the amygdala. Top-down linguistic modulation may play an important role for prioritized perception of emotions in words. Understanding the neural dynamics and interactions of emotion and language perception is important for selecting potent stimuli and devising effective training and/or treatment approaches for the alleviation of emotional dysfunction across a range of neuropsychiatric states.

Fine resolution probabilistic land cover classification of landscapes in the southeastern United States

Treesearch

Joseph St. Peter; John Hogland; Nathaniel Anderson; Jason Drake; Paul Medley

2018-01-01

Land cover classification provides valuable information for prioritizing management and conservation operations across large landscapes. Current regional scale land cover geospatial products within the United States have a spatial resolution that is too coarse to provide the necessary information for operations at the local and project scales. This paper describes a...

Developing Toxicogenomics as a Research Tool by Applying Benchmark Dose-Response Modeling to inform Chemical Mode of Action and Tumorigenic Potency

EPA Science Inventory

ABSTRACT Results of global gene expression profiling after short-term exposures can be used to inform tumorigenic potency and chemical mode of action (MOA) and thus serve as a strategy to prioritize future or data-poor chemicals for further evaluation. This compilation of cas...

A Classical Delphi Study to Identify the Barriers of Pursuing Green Information and Communication Technologies

ERIC Educational Resources Information Center

Gotay, Jose Antonio

2013-01-01

This qualitative, classical Delphi study served to explore the apparent lack of corporate commitment to prioritized Green Information Communication Technologies (ICTs), which could delay the economic and social benefits for maximizing the use of natural energy resources in a weak economy. The purpose of this study was to examine the leadership…

Socioemotional selectivity theory, aging, and health: the increasingly delicate balance between regulating emotions and making tough choices.

PubMed

Löckenhoff, Corinna E; Carstensen, Laura L

2004-12-01

After providing an introductory overview of socioemotional selectivity theory, we review empirical evidence for its basic postulates and consider the implications of the predicted cognitive and behavioral changes for physical health. The main assertion of socioemotional selectivity theory is that when boundaries on time are perceived, present-oriented goals related to emotional meaning are prioritized over future-oriented goals aimed at acquiring information and expanding horizons. Such motivational changes, which are strongly correlated with chronological age, systematically influence social preferences, social network composition, emotion regulation, and cognitive processing. On the one hand, there is considerable reason to believe that such changes are good for well-being and social adjustment. On the other hand, the very same motivational changes may limit health-related information-seeking and influence attention, memory, and decision-making such that positive material is favored over negative information. Grounding our arguments in socioemotional selectivity theory, we consider possible ways to tailor contexts such that disadvantages are avoided.

A hierarchical structure for representing and learning fuzzy rules

NASA Technical Reports Server (NTRS)

Yager, Ronald R.

1993-01-01

Yager provides an example in which the flat representation of fuzzy if-then rules leads to unsatisfactory results. Consider a rule base consisting to two rules: if U is 12 the V is 29; if U is (10-15) the V is (25-30). If U = 12 we would get V is G where G = (25-30). The application of the defuzzification process leads to a selection of V = 27.5. Thus we see that the very specific instruction was not followed. The problem with the technique used is that the most specific information was swamped by the less specific information. In this paper we shall provide for a new structure for the representation of fuzzy if-then rules. The representational form introduced here is called a Hierarchical Prioritized Structure (HPS) representation. Most importantly in addition to overcoming the problem illustrated in the previous example this HPS representation has an inherent capability to emulate the learning of general rules and provides a reasonable accurate cognitive mapping of how human beings store information.

Gerena School Health Impact Assessment (HIA) Final Report

EPA Pesticide Factsheets

This is the final report of the EPA-led Gerena Community School HIA, which aims to provide valuable health-focused information to help the City of Springfield narrow down and prioritize renovation actions at the school.

Understanding the effects of different social data on selecting priority conservation areas.

PubMed

Karimi, Azadeh; Tulloch, Ayesha I T; Brown, Greg; Hockings, Marc

2017-12-01

Conservation success is contingent on assessing social and environmental factors so that cost-effective implementation of strategies and actions can be placed in a broad social-ecological context. Until now, the focus has been on how to include spatially explicit social data in conservation planning, whereas the value of different kinds of social data has received limited attention. In a regional systematic conservation planning case study in Australia, we examined the spatial concurrence of a range of spatially explicit social values and land-use preferences collected using a public participation geographic information system and biological data. We used Zonation to integrate the social data with the biological data in a series of spatial-prioritization scenarios to determine the effect of the different types of social data on spatial prioritization compared with biological data alone. The type of social data (i.e., conservation opportunities or constraints) significantly affected spatial prioritization outcomes. The integration of social values and land-use preferences under different scenarios was highly variable and generated spatial prioritizations 1.2-51% different from those based on biological data alone. The inclusion of conservation-compatible values and preferences added relatively few new areas to conservation priorities, whereas including noncompatible economic values and development preferences as costs significantly changed conservation priority areas (48.2% and 47.4%, respectively). Based on our results, a multifaceted conservation prioritization approach that combines spatially explicit social data with biological data can help conservation planners identify the type of social data to collect for more effective and feasible conservation actions. © 2017 Society for Conservation Biology.

Overcoming Breakdowns and Engaging the Public

NASA Astrophysics Data System (ADS)

Bowman, T. E.

2012-12-01

With strong climate science evidence readily available, why do major segments of the public remain disengaged? Decades of social science research and practical communications experience indicate that prioritizing and structuring information, choosing appropriate messengers, and adapting to audience interests and learning styles are vital, yet often ignored criteria. This session will explore key differences between communications models within the science community and effective outreach to non-scientist audiences. Here, prioritizing goals, understanding preconceptions and identifying intervention opportunities require careful examination. "Public engagement" is defined as encouraging and enabling people to make informed choices on their own behalf. Crucial barriers identified in economics, political psychology and audience segmentation research will be addressed, and recommendations for more effective engagement will emerge including: defining realistic goals, simplifying science content accurately, avoiding values conflicts that prevent learning, enlisting trusted messengers, and matching a call to action to the scale of the challenge in ways people can embrace.

Task-relevant information is prioritized in spatiotemporal contextual cueing.

PubMed

Higuchi, Yoko; Ueda, Yoshiyuki; Ogawa, Hirokazu; Saiki, Jun

2016-11-01

Implicit learning of visual contexts facilitates search performance-a phenomenon known as contextual cueing; however, little is known about contextual cueing under situations in which multidimensional regularities exist simultaneously. In everyday vision, different information, such as object identity and location, appears simultaneously and interacts with each other. We tested the hypothesis that, in contextual cueing, when multiple regularities are present, the regularities that are most relevant to our behavioral goals would be prioritized. Previous studies of contextual cueing have commonly used the visual search paradigm. However, this paradigm is not suitable for directing participants' attention to a particular regularity. Therefore, we developed a new paradigm, the "spatiotemporal contextual cueing paradigm," and manipulated task-relevant and task-irrelevant regularities. In four experiments, we demonstrated that task-relevant regularities were more responsible for search facilitation than task-irrelevant regularities. This finding suggests our visual behavior is focused on regularities that are relevant to our current goal.

Emotion strengthens high-priority memory traces but weakens low-priority memory traces.

PubMed

Sakaki, Michiko; Fryer, Kellie; Mather, Mara

2014-02-01

When people encounter emotional events, their memory for those events is typically enhanced. But it has been unclear how emotionally arousing events influence memory for preceding information. Does emotional arousal induce retrograde amnesia or retrograde enhancement? The current study revealed that this depends on the top-down goal relevance of the preceding information. Across three studies, we found that emotional arousal induced by one image facilitated memory for the preceding neutral item when people prioritized that neutral item. In contrast, an emotionally arousing image impaired memory for the preceding neutral item when people did not prioritize that neutral item. Emotional arousal elicited by both negative and positive pictures showed this pattern of enhancing or impairing memory for the preceding stimulus depending on its priority. These results indicate that emotional arousal amplifies the effects of top-down priority in memory formation.

The Guideline Implementability Decision Excellence Model (GUIDE-M): a mixed methods approach to create an international resource to advance the practice guideline field.

PubMed

Brouwers, Melissa C; Makarski, Julie; Kastner, Monika; Hayden, Leigh; Bhattacharyya, Onil

2015-03-15

Practice guideline (PG) implementability refers to PG features that promote their use. While there are tools and resources to promote PG implementability, none are based on an evidence-informed and multidisciplinary perspective. Our objectives were to (i) create a comprehensive and evidence-informed model of PG implementability, (ii) seek support for the model from the international PG community, (iii) map existing implementability tools on to the model, (iv) prioritize areas for further investigation, and (v) describe how the model can be used by PG developers, users, and researchers. A mixed methods approach was used. Using our completed realist review of the literature of seven different disciplines as the foundation, an iterative consensus process was used to create the beta version of the model. This was followed by (i) a survey of international stakeholders (guideline developers and users) to gather feedback and to refine the model, (ii) a content analysis comparing the model to existing PG tools, and (iii) a strategy to prioritize areas of the model for further research by members of the research team. The Guideline Implementability for Decision Excellence Model (GUIDE-M) is comprised of 3 core tactics, 7 domains, 9 subdomains, 44 attributes, and 40 subattributes and elements. Feedback on the beta version was received from 248 stakeholders from 34 countries. The model was rated as logical, relevant, and appropriate. Seven PG tools were selected and compared to the GUIDE-M: very few tools targeted the Contextualization and Deliberations domain. Also, fewer of the tools addressed PG appraisal than PG development and reporting functions. These findings informed the research priorities identified by the team. The GUIDE-M provides an evidence-informed international and multidisciplinary conceptualization of PG implementability. The model can be used by PG developers to help them create more implementable recommendations, by clinicians and other users to help them be better consumers of PGs, and by the research community to identify priorities for further investigation.

Taxonomy development and knowledge representation of nurses' personal cognitive artifacts.

PubMed

McLane, Sharon; Turley, James P

2009-11-14

Nurses prepare knowledge representations, or summaries of patient clinical data, each shift. These knowledge representations serve multiple purposes, including support of working memory, workload organization and prioritization, critical thinking, and reflection. This summary is integral to internal knowledge representations, working memory, and decision-making. Study of this nurse knowledge representation resulted in development of a taxonomy of knowledge representations necessary to nursing practice.This paper describes the methods used to elicit the knowledge representations and structures necessary for the work of clinical nurses, described the development of a taxonomy of this knowledge representation, and discusses translation of this methodology to the cognitive artifacts of other disciplines. Understanding the development and purpose of practitioner's knowledge representations provides important direction to informaticists seeking to create information technology alternatives. The outcome of this paper is to suggest a process template for transition of cognitive artifacts to an information system.

Data to Action

PubMed Central

Rohm Young, Deborah; Johnson, Carolyn C.; Steckler, Allan; Gittelsohn, Joel; Saunders, Ruth P.; Saksvig, Brit I.; Ribisl, Kurt M.; Lytle, Leslie A.; McKenzie, Thomas L.

2008-01-01

Formative research is used to inform intervention development, but the processes of transmitting results to intervention planners and incorporating information into intervention designs are not well documented. The authors describe how formative research results from the Trial of Activity for Adolescent Girls (TAAG) were transferred to planners to guide intervention development. Methods included providing oral and written reports, prioritizing recommendations, and cross-checking recommendations with intervention objectives and implementation strategies. Formative work influenced the intervention in many ways. For example, results indicated that middle schools offered only coeducational physical education and health education classes, so the TAAG intervention was designed to be appropriate for both sexes, and intervention strategies were developed to directly address girls’ stated preferences (e.g., enjoyable activities, opportunity to socialize) and barriers (e.g., lack of skills, fear of injury) for physical activity. The challenges of using formative research for intervention development are discussed. PMID:16397162

Goal-directed EEG activity evoked by discriminative stimuli in reinforcement learning.

PubMed

Luque, David; Morís, Joaquín; Rushby, Jacqueline A; Le Pelley, Mike E

2015-02-01

In reinforcement learning (RL), discriminative stimuli (S) allow agents to anticipate the value of a future outcome, and the response that will produce that outcome. We examined this processing by recording EEG locked to S during RL. Incentive value of outcomes and predictive value of S were manipulated, allowing us to discriminate between outcome-related and response-related activity. S predicting the correct response differed from nonpredictive S in the P2. S paired with high-value outcomes differed from those paired with low-value outcomes in a frontocentral positivity and in the P3b. A slow negativity then distinguished between predictive and nonpredictive S. These results suggest that, first, attention prioritizes detection of informative S. Activation of mental representations of these informative S then retrieves representations of outcomes, which in turn retrieve representations of responses that previously produced those outcomes. © 2014 Society for Psychophysiological Research.

Data to action: using formative research to develop intervention programs to increase physical activity in adolescent girls.

PubMed

Young, Deborah Rohm; Johnson, Carolyn C; Steckler, Allan; Gittelsohn, Joel; Saunders, Ruth P; Saksvig, Brit I; Ribisl, Kurt M; Lytle, Leslie A; McKenzie, Thomas L

2006-02-01

Formative research is used to inform intervention development, but the processes of transmitting results to intervention planners and incorporating information into intervention designs are not well documented. The authors describe how formative research results from the Trial of Activity for Adolescent Girls (TAAG) were transferred to planners to guide intervention development. Methods included providing oral and written reports, prioritizing recommendations, and cross-checking recommendations with intervention objectives and implementation strategies. Formative work influenced the intervention in many ways. For example, results indicated that middle schools offered only coeducational physical education and health education classes, so the TAAG intervention was designed to be appropriate for both sexes, and intervention strategies were developed to directly address girls' stated preferences (e.g., enjoyable activities, opportunity to socialize) and barriers (e.g., lack of skills, fear of injury) for physical activity. The challenges of using formative research for intervention development are discussed.

The Marine Realms Information Bank, a coastal and marine digital library at USGS

USGS Publications Warehouse

Marincioni, Fausto; Lightsom, Frances L.; Riall, Rebecca L.; Linck, Guthrie A.; Aldrich, Thomas C.

2003-01-01

The Marine Realms Information Bank (MRIB) is a distributed geolibrary of the USGS Coastal and Marine Geology Program that (1) prioritizes search and display of information by place (location on the Earth's surface), and (2) links information existing in distributed and independent sources. The MRIB aims to provide easy access to knowledge pertaining to the ocean and the associated atmospheric and terrestrial environments to scientists, decision-makers, and the interested members of the public.

Using needs-based frameworks for evaluating new technologies: an application to genetic tests.

PubMed

Rogowski, Wolf H; Schleidgen, Sebastian

2015-02-01

Given the multitude of newly available genetic tests in the face of limited healthcare budgets, the European Society of Human Genetics assessed how genetic services can be prioritized fairly. Using (health) benefit maximizing frameworks for this purpose has been criticized on the grounds that rather than maximization, fairness requires meeting claims (e.g. based on medical need) equitably. This study develops a prioritization score for genetic tests to facilitate equitable allocation based on need-based claims. It includes attributes representing health need associated with hereditary conditions (severity and progression), a genetic service's suitability to alleviate need (evidence of benefit and likelihood of positive result) and costs to meet the needs. A case study for measuring the attributes is provided and a suggestion is made how need-based claims can be quantified in a priority function. Attribute weights can be informed by data from discrete-choice experiments. Further work is needed to measure the attributes across the multitude of genetic tests and to determine appropriate weights. The priority score is most likely to be considered acceptable if developed within a decision process which meets criteria of procedural fairness and if the priority score is interpreted as "strength of recommendation" rather than a fixed cut-off value. Copyright © 2014. Published by Elsevier Ireland Ltd.

Applications of Rapid Evaluation of Metapopulation Persistence (REMP) in Conservation Planning for Vulnerable Fauna Species.

PubMed

Taylor, Subhashni; Drielsma, Michael; Taylor, Robert; Kumar, Lalit

2016-06-01

In many regions species are declining due to fragmentation and loss of habitat. If species persistence is to be achieved, ecologically informed, effective conservation action is required. Yet it remains a challenge to identify optimal places in a landscape to direct habitat reconstruction and management. Rather than relying on individual landscape metrics, process-based regional scale assessment methodology is needed that focuses primarily on species persistence. This means integrating, according to species' ecology, habitat extent, suitability, quality and spatial configuration. The rapid evaluation of metapopulation persistence (REMP) methodology has been developed for this purpose. However, till now no practical conservation planning application of REMP has been described. By integration of expert ecological knowledge, we extended REMP's capabilities to prioritize conservation action for a highly modified agricultural region of central NSW, Australia based on the metapopulation ecology of 34 fauna species. The region's current capacity to support the species was evaluated in relation to the pre-European state for which there was known viability. Six of the species were found to currently have insufficient habitat to support viable populations. Seeking locations to maximize overall improvement in viability for these species, we prioritized conservation action to locations near the threshold of metapopulation persistence.

The Trauma Patient Tracking System: implementing a wireless monitoring infrastructure for emergency response.

PubMed

Maltz, Jonathan; C Ng, Thomas; Li, Dustin; Wang, Jian; Wang, Kang; Bergeron, William; Martin, Ron; Budinger, Thomas

2005-01-01

In mass trauma situations, emergency personnel are challenged with the task of prioritizing the care of many injured victims. We propose a trauma patient tracking system (TPTS) where first-responders tag all patients with a wireless monitoring device that continuously reports the location of each patient. The system can be used not only to prioritize patient care, but also to determine the time taken for each patient to receive treatment. This is important in training emergency personnel and in identifying bottlenecks in the disaster response process. In situations where biochemical agents are involved, a TPTS may be employed to determine sites of cross-contamination. In order to track patient location in both outdoor and indoor environments, we employ both Global Positioning System (GPS) and Television/ Radio Frequency (TVRF) technologies. Each patient tag employs IEEE 802.11 (Wi-Fi)/TCP/IP networking to communicate with a central server via any available Wi-Fi basestation. A key component to increase TPTS fault-tolerance is a mobile Wi-Fi basestation that employs redundant Internet connectivity to ensure that tags at the disaster scene can send information to the central server even when local infrastructure is unavailable for use. We demonstrate the robustness of the system in tracking multiple patients in a simulated trauma situation in an urban environment.

Morphometric Analysis to Prioritize Sub-Watershed for Flood Risk Assessment in Central Karakoram National Park Using Gis/rs Approach

NASA Astrophysics Data System (ADS)

Syed, N. H.; Rehman, A. A.; Hussain, D.; Ishaq, S.; Khan, A. A.

2017-11-01

Morphometric analysis is vital for any watershed investigation and it is inevitable for flood risk assessment in sub-watershed basins. Present study undertaken to carry out critical evaluation and assessment of sub watershed morphological parameters for flood risk assessment of Central Karakorum National Park (CKNP), where Geographical information system and remote sensing (GIS & RS) approach used for quantifying the parameter and mapping of sub watershed units. ASTER DEM used as a geo-spatial data for watershed delineation and stream network. Morphometric analysis carried out using spatial analyst tool of ArcGIS 10.2. The parameters included were bifurcation ratio (Rb), Drainage Texture (Rt), Circulatory ratio (Rc), Elongated ratio (Re), Drainage density (Dd), Stream Length (Lu), Stream order (Su), Slope and Basin length (Lb) have calculated separately. The analysis revealed that the stream order varies from order 1 to 6 and the total numbers of stream segments of all orders were 52. Multi criteria analysis process used to calculate the risk factor. As an accomplished result, map of sub watershed prioritization developed using weighted standardized risk factor. These results helped to understand sensitivity of flush floods in different sub watersheds of the study area and leaded to better management of the mountainous regions in prospect of flush floods.

Restoration planning to guide Aichi targets in a megadiverse country.

PubMed

Tobón, Wolke; Urquiza-Haas, Tania; Koleff, Patricia; Schröter, Matthias; Ortega-Álvarez, Rubén; Campo, Julio; Lindig-Cisneros, Roberto; Sarukhán, José; Bonn, Aletta

2017-10-01

Ecological restoration has become an important strategy to conserve biodiversity and ecosystems services. To restore 15% of degraded ecosystems as stipulated by the Convention on Biological Diversity Aichi target 15, we developed a prioritization framework to identify potential priority sites for restoration in Mexico, a megadiverse country. We used the most current biological and environmental data on Mexico to assess areas of biological importance and restoration feasibility at national scale and engaged stakeholders and experts throughout the process. We integrated 8 criteria into 2 components (i.e., biological importance and restoration feasibility) in a spatial multicriteria analysis and generated 11 scenarios to test the effect of assigning different component weights. The priority restoration sites were distributed across all terrestrial ecosystems of Mexico; 64.1% were in degraded natural vegetation and 6% were in protected areas. Our results provide a spatial guide to where restoration could enhance the persistence of species of conservation concern and vulnerable ecosystems while maximizing the likelihood of restoration success. Such spatial prioritization is a first step in informing policy makers and restoration planners where to focus local and large-scale restoration efforts, which should additionally incorporate social and monetary cost-benefit considerations. © 2017 The Authors. Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

Screening level risk assessment model for chemical fate and effects in the environment.

PubMed

Arnot, Jon A; Mackay, Don; Webster, Eva; Southwood, Jeanette M

2006-04-01

A screening level risk assessment model is developed and described to assess and prioritize chemicals by estimating environmental fate and transport, bioaccumulation, and exposure to humans and wildlife for a unit emission rate. The most sensitive risk endpoint is identified and a critical emission rate is then calculated as a result of that endpoint being reached. Finally, this estimated critical emission rate is compared with the estimated actual emission rate as a risk assessment factor. This "back-tracking" process avoids the use of highly uncertain emission rate data as model input. The application of the model is demonstrated in detail for three diverse chemicals and in less detail for a group of 70 chemicals drawn from the Canadian Domestic Substances List. The simple Level II and the more complex Level III fate calculations are used to "bin" substances into categories of similar probable risk. The essential role of the model is to synthesize information on chemical and environmental properties within a consistent mass balance framework to yield an overall estimate of screening level risk with respect to the defined endpoint. The approach may be useful to identify and prioritize those chemicals of commerce that are of greatest potential concern and require more comprehensive modeling and monitoring evaluations in actual regional environments and food webs.

Working memory accuracy for multiple targets is driven by reward expectation and stimulus contrast with different time-courses.

PubMed

Klink, P Christiaan; Jeurissen, Danique; Theeuwes, Jan; Denys, Damiaan; Roelfsema, Pieter R

2017-08-22

The richness of sensory input dictates that the brain must prioritize and select information for further processing and storage in working memory. Stimulus salience and reward expectations influence this prioritization but their relative contributions and underlying mechanisms are poorly understood. Here we investigate how the quality of working memory for multiple stimuli is determined by priority during encoding and later memory phases. Selective attention could, for instance, act as the primary gating mechanism when stimuli are still visible. Alternatively, observers might still be able to shift priorities across memories during maintenance or retrieval. To distinguish between these possibilities, we investigated how and when reward cues determine working memory accuracy and found that they were only effective during memory encoding. Previously learned, but currently non-predictive, color-reward associations had a similar influence, which gradually weakened without reinforcement. Finally, we show that bottom-up salience, manipulated through varying stimulus contrast, influences memory accuracy during encoding with a fundamentally different time-course than top-down reward cues. While reward-based effects required long stimulus presentation, the influence of contrast was strongest with brief presentations. Our results demonstrate how memory resources are distributed over memory targets and implicates selective attention as a main gating mechanism between sensory and memory systems.

Climate impacts on global hot spots of marine biodiversity.

PubMed

Ramírez, Francisco; Afán, Isabel; Davis, Lloyd S; Chiaradia, André

2017-02-01

Human activities drive environmental changes at scales that could potentially cause ecosystem collapses in the marine environment. We combined information on marine biodiversity with spatial assessments of the impacts of climate change to identify the key areas to prioritize for the conservation of global marine biodiversity. This process identified six marine regions of exceptional biodiversity based on global distributions of 1729 species of fish, 124 marine mammals, and 330 seabirds. Overall, these hot spots of marine biodiversity coincide with areas most severely affected by global warming. In particular, these marine biodiversity hot spots have undergone local to regional increasing water temperatures, slowing current circulation, and decreasing primary productivity. Furthermore, when we overlapped these hot spots with available industrial fishery data, albeit coarser than our estimates of climate impacts, they suggest a worrying coincidence whereby the world's richest areas for marine biodiversity are also those areas mostly affected by both climate change and industrial fishing. In light of these findings, we offer an adaptable framework for determining local to regional areas of special concern for the conservation of marine biodiversity. This has exposed the need for finer-scaled fishery data to assist in the management of global fisheries if the accumulative, but potentially preventable, effect of fishing on climate change impacts is to be minimized within areas prioritized for marine biodiversity conservation.

High-Throughput Toxicity Testing: New Strategies for ...

EPA Pesticide Factsheets

In recent years, the food industry has made progress in improving safety testing methods focused on microbial contaminants in order to promote food safety. However, food industry toxicologists must also assess the safety of food-relevant chemicals including pesticides, direct additives, and food contact substances. With the rapidly growing use of new food additives, as well as innovation in food contact substance development, an interest in exploring the use of high-throughput chemical safety testing approaches has emerged. Currently, the field of toxicology is undergoing a paradigm shift in how chemical hazards can be evaluated. Since there are tens of thousands of chemicals in use, many of which have little to no hazard information and there are limited resources (namely time and money) for testing these chemicals, it is necessary to prioritize which chemicals require further safety testing to better protect human health. Advances in biochemistry and computational toxicology have paved the way for animal-free (in vitro) high-throughput screening which can characterize chemical interactions with highly specific biological processes. Screening approaches are not novel; in fact, quantitative high-throughput screening (qHTS) methods that incorporate dose-response evaluation have been widely used in the pharmaceutical industry. For toxicological evaluation and prioritization, it is the throughput as well as the cost- and time-efficient nature of qHTS that makes it

Expectancy biases in fear and anxiety and their link to biases in attention.

PubMed

Aue, Tatjana; Okon-Singer, Hadas

2015-12-01

Healthy individuals often exhibit prioritized processing of aversive information, as manifested in enhanced orientation of attention to threatening stimuli compared with neutral items. In contrast to this adaptive behavior, anxious, fearful, and phobic individuals show exaggerated attention biases to threat. In addition, they overestimate the likelihood of encountering their feared stimulus and the severity of the consequences; both are examples of expectancy biases. The co-occurrence of attention and expectancy biases in fear and anxiety raises the question about causal influences. Herein, we summarize findings related to expectancy biases in fear and anxiety, and their association with attention biases. We suggest that evidence calls for more comprehensive research strategies in the investigation of mutual influences between expectancy and attention biases, as well as their combined effects on fear and anxiety. Moreover, both types of bias need to be related to other types of distorted information processing commonly observed in fear and anxiety (e.g., memory and interpretation biases). Finally, we propose new research directions that may be worth considering in developing more effective treatments for anxiety disorders. Copyright © 2015 Elsevier Ltd. All rights reserved.

Geomorphometry of Drainage Basin for Natural Resources Management Using High Resolution Satellite Data an Indian Example

NASA Astrophysics Data System (ADS)

Venkateswarlu, P.; Reddy, M. A.; Prasad, A. T.

2003-12-01

Application of Remote Sensing and Geographic Information System for the development of land and water resources action plan at micro level for appropriate management of land/water resources of a watershed in rain fed region of Prakasam District in Andhra Pradesh, India forms the focal theme of this paper. The quantitative description of drainage basin geometry can be effectively determined using Remote Sensing and GIS techniques. Each of the sixty-two sub-watersheds of the study area have been studied in terms of the Morphometric parameters - Stream length, Bifurcation ratio, Length ratio, Drainage density, Stream frequency, Texture ratio, Form factor, Area Perimeters, Circularity ratio and Elongation ratio and prioritized all the sub-watersheds under study. The prioritization of sub sheds based on morphometry is compared with sediment yield prioritization and found nearly same for the study area. The information obtained from the thematic maps are integrated and action plans are suggested for land and water resources development on a sustainable basis. Landuse/Landcover, Hydrogeomorphology and Soil thematic maps were generated. In addition slope and Drainage maps were prepared from Survey of India toposheets. Based on the computerized database created using ARC/INFO software, information derived in terms of natural resources and their spatial distribution was then integrated with the socio economic data to formulate an action plan, which includes suggestion of alternative Landuse/Landcover practices. Such a plan is useful for natural resources management and for improving the socio-economic status of rural population on a sustainable basis. Keywords: Natural Resources, Remote Sensing, Morphometry sustainable development.

Interactogeneous: Disease Gene Prioritization Using Heterogeneous Networks and Full Topology Scores

PubMed Central

Gonçalves, Joana P.; Francisco, Alexandre P.; Moreau, Yves; Madeira, Sara C.

2012-01-01

Disease gene prioritization aims to suggest potential implications of genes in disease susceptibility. Often accomplished in a guilt-by-association scheme, promising candidates are sorted according to their relatedness to known disease genes. Network-based methods have been successfully exploiting this concept by capturing the interaction of genes or proteins into a score. Nonetheless, most current approaches yield at least some of the following limitations: (1) networks comprise only curated physical interactions leading to poor genome coverage and density, and bias toward a particular source; (2) scores focus on adjacencies (direct links) or the most direct paths (shortest paths) within a constrained neighborhood around the disease genes, ignoring potentially informative indirect paths; (3) global clustering is widely applied to partition the network in an unsupervised manner, attributing little importance to prior knowledge; (4) confidence weights and their contribution to edge differentiation and ranking reliability are often disregarded. We hypothesize that network-based prioritization related to local clustering on graphs and considering full topology of weighted gene association networks integrating heterogeneous sources should overcome the above challenges. We term such a strategy Interactogeneous. We conducted cross-validation tests to assess the impact of network sources, alternative path inclusion and confidence weights on the prioritization of putative genes for 29 diseases. Heat diffusion ranking proved the best prioritization method overall, increasing the gap to neighborhood and shortest paths scores mostly on single source networks. Heterogeneous associations consistently delivered superior performance over single source data across the majority of methods. Results on the contribution of confidence weights were inconclusive. Finally, the best Interactogeneous strategy, heat diffusion ranking and associations from the STRING database, was used to prioritize genes for Parkinson’s disease. This method effectively recovered known genes and uncovered interesting candidates which could be linked to pathogenic mechanisms of the disease. PMID:23185389

Nurses' prioritization of enteral nutrition in intensive care units: a national survey.

PubMed

Bloomer, Melissa J; Clarke, Angelique B; Morphet, Julia

2018-05-01

Enteral nutrition is important in critically ill patients to improve patient outcomes, with nurses playing a pivotal role in the delivery and ongoing care of enteral nutrition. A significant deficit in nurses' knowledge and education relating to enteral nutrition has been identified, leading to iatrogenic malnutrition and potentially compromising patient care. Enteral nutrition appears to be prioritized lower than many other aspects of care. However, there is scant research to show how nurses prioritize enteral nutrition. This study aimed to explore how nurses prioritize enteral nutrition when caring for a critically ill patient. A descriptive online questionnaire, administered in May 2014, was utilized to explore the study aim. Descriptive statistics were performed to evaluate quantitative data. Content analysis was used to evaluate qualitative data. A total of 359 responses were included in data analysis (response rate 20.8%). All respondents were registered nurses working within an Australian intensive care unit or high dependency unit. Nurses agreed that enteral nutrition was very important and should be commenced as soon as possible. However, life-saving procedures always took priority and there were often multiple barriers that hindered optimal delivery of enteral nutrition. Respondents relied on their clinical judgement to inform decisions in relation to enteral nutrition in critically ill patients. Most respondents agreed that enteral nutrition was an important aspect of patient care, but acknowledged that other aspects of care were prioritized more highly. Despite this, some delays to enteral nutrition were perceived to be avoidable, and nurses recognized a need to advocate on the patient's behalf to increase the visibility of enteral nutrition. The findings of this study demonstrate that enteral nutrition is often prioritized lower than other competing care needs in the critically ill patient. Given the importance of enteral nutrition to patient recovery, changes to clinical practice to improve enteral nutrition management are necessary. © 2017 British Association of Critical Care Nurses.

Satisficing in split-second decision making is characterized by strategic cue discounting.

PubMed

Oh, Hanna; Beck, Jeffrey M; Zhu, Pingping; Sommer, Marc A; Ferrari, Silvia; Egner, Tobias

2016-12-01

Much of our real-life decision making is bounded by uncertain information, limitations in cognitive resources, and a lack of time to allocate to the decision process. It is thought that humans overcome these limitations through satisficing, fast but "good-enough" heuristic decision making that prioritizes some sources of information (cues) while ignoring others. However, the decision-making strategies we adopt under uncertainty and time pressure, for example during emergencies that demand split-second choices, are presently unknown. To characterize these decision strategies quantitatively, the present study examined how people solve a novel multicue probabilistic classification task under varying time pressure, by tracking shifts in decision strategies using variational Bayesian inference. We found that under low time pressure, participants correctly weighted and integrated all available cues to arrive at near-optimal decisions. With increasingly demanding, subsecond time pressures, however, participants systematically discounted a subset of the cue information by dropping the least informative cue(s) from their decision making process. Thus, the human cognitive apparatus copes with uncertainty and severe time pressure by adopting a "drop-the-worst" cue decision making strategy that minimizes cognitive time and effort investment while preserving the consideration of the most diagnostic cue information, thus maintaining "good-enough" accuracy. This advance in our understanding of satisficing strategies could form the basis of predicting human choices in high time pressure scenarios. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Real estate strategies for 2005.

PubMed

Dunbar, Donald R

2005-05-01

Today's healthcare real estate strategies involve: assessing and prioritizing capital availability for building projects, carefully planning and implementing the process for the project Making beneficial decisions regarding facility management and maintenance.

Chemical Safety Research Advances in Support of Lautenberg Act

EPA Pesticide Factsheets

EPA researchers are developing new ways to identify which chemicals to prioritize for further testing, to provide better access to information about chemicals, and to understand what potential risks chemicals may pose to humans and the environment.

Service-Oriented Architecture Afloat: A Capabilities-Based Prioritization Scheme

DTIC Science & Technology

2013-04-01

to “information superiority,” ultimately enhancing warfighting capability. Introduction The Program Executive Office for Command, Control...gateway architecture for IP satellite networks with dynamic resource mangement and DiffServ QoS provision. International Journal of Satellite

High-Throughput Pharmacokinetics for Environmental Chemicals (SOT)

EPA Science Inventory

High throughput screening (HTS) promises to allow prioritization of thousands of environmental chemicals with little or no in vivo information. For bioactivity identified by HTS, toxicokinetic (TK) models are essential to predict exposure thresholds below which no significant bio...

Opportunity for Stakeholder Input on EPA's Hydraulic Fracturing Research Study: Criteria for Selecting Case Studies

EPA Pesticide Factsheets

EPA sought advice from stakeholders regarding potential case studies, stakeholder were invited to provide suggestions and refinements to the prioritization of criteria and information listed in Table 1 of the document.

The critical success factor approach to strategic alignment: seeking a trail from a health organization's goals to its management information infrastructure.

PubMed

Tan, J K

1999-11-01

The critical success factor (CSF) approach is a technique that will aid health administrators, planners and managers to identify, specify and sort among the most relevant and critical factors determining an organization's survival and success. Following a top-down management perspective, this paper discusses the CSF methodology as a strategic information management process comprising several important phases: (i) understanding the external factors such as the organization's industry, market and environment; (ii) achieving strong support and championship from top management; (iii) encouraging the proactive involvement of management and staff in generic CSF identification; (iv) educating and directing the participation of staff members in CSF verification and further refinement of generic CSFs into specific CSFs; and (v) aggregating, prioritizing and translating activity-related CSFs into organizational information requirements for the design of the organization's management information infrastructure. The implementation of this CSF approach is illustrated in the context of a British Columbia community hospital, with insights provided into key issues for future health researchers and practitioners.

The integration of quantitative information with an intelligent decision support system for residential energy retrofits

NASA Astrophysics Data System (ADS)

Mo, Yunjeong

The purpose of this research is to support the development of an intelligent Decision Support System (DSS) by integrating quantitative information with expert knowledge in order to facilitate effective retrofit decision-making. To achieve this goal, the Energy Retrofit Decision Process Framework is analyzed. Expert system shell software, a retrofit measure cost database, and energy simulation software are needed for developing the DSS; Exsys Corvid, the NREM database and BEopt were chosen for implementing an integration model. This integration model demonstrates the holistic function of a residential energy retrofit system for existing homes, by providing a prioritized list of retrofit measures with cost information, energy simulation and expert advice. The users, such as homeowners and energy auditors, can acquire all of the necessary retrofit information from this unified system without having to explore several separate systems. The integration model plays the role of a prototype for the finalized intelligent decision support system. It implements all of the necessary functions for the finalized DSS, including integration of the database, energy simulation and expert knowledge.

An Exercise in Technology Prioritization in a Competitive Environment

NASA Technical Reports Server (NTRS)

Stephens, Karen L.

2006-01-01

The proper prioritization of technologies within a technology development program is critical for success in a budget constrained environment. A large portfolio of diverse products at differing states of development all competing for program resources presents a need for a process by which a realistic need date can guide the development strategy for each technology. This paper will document an exercise to identify "mission pull" for each technology that can be used to identify the best projected need date for each. This date is then used to back out a development schedule with corresponding funding profile needed to meet the flight opportunity.

Structural marsh management research priorities

USGS Publications Warehouse

Cahoon, Donald R.; Groat, Charles G.

1989-01-01

The paper presents a prioritized list of research issues related to structural marsh management developed by a multidisciplinary panel of regulatory agency representatives, landowners, and scientists. More than 75 issues were identified concerning landscape changes, influence on ecological processes (i.e., hydrologic, biologic, and edaphic factors), habitat quality, cumulative impacts, and management approach. These issues were prioritized and organized around six basic questions regulatory personnel must try to answer for each marsh management plan application. The six questions deal with the influence of marsh management on, in order of most immediate need, marsh loss and health, fisheries, wildlife, habitat change, water quality, and cumulative effects.

Forum Guide to Ensuring Equal Access to Education Websites: Introduction to Electronic Information Accessibility Standards. NFES 2011-807

ERIC Educational Resources Information Center

National Forum on Education Statistics, 2011

2011-01-01

This guide is designed for use by information technology administrators, data specialists, and program staff responsible for the "content" in data reports, as well as education leaders (e.g., administrators who prioritize tasks for technical and data staff), and other stakeholders who have an interest in seeing that schools, school…

TriageTools: tools for partitioning and prioritizing analysis of high-throughput sequencing data.

PubMed

Fimereli, Danai; Detours, Vincent; Konopka, Tomasz

2013-04-01

High-throughput sequencing is becoming a popular research tool but carries with it considerable costs in terms of computation time, data storage and bandwidth. Meanwhile, some research applications focusing on individual genes or pathways do not necessitate processing of a full sequencing dataset. Thus, it is desirable to partition a large dataset into smaller, manageable, but relevant pieces. We present a toolkit for partitioning raw sequencing data that includes a method for extracting reads that are likely to map onto pre-defined regions of interest. We show the method can be used to extract information about genes of interest from DNA or RNA sequencing samples in a fraction of the time and disk space required to process and store a full dataset. We report speedup factors between 2.6 and 96, depending on settings and samples used. The software is available at http://www.sourceforge.net/projects/triagetools/.

Using the Program Sustainability Assessment Tool to Assess and Plan for Sustainability

PubMed Central

Mainor, Avia; Moreland-Russell, Sarah; Maier, Ryan C.; Brossart, Laura; Luke, Douglas A.

2014-01-01

Implementing and growing a public health program that benefits society takes considerable time and effort. To ensure that positive outcomes are maintained over time, program managers and stakeholders should plan and implement activities to build sustainability capacity within their programs. We describe a 3-part sustainability planning process that programs can follow to build their sustainability capacity. First, program staff and stakeholders take the Program Sustainability Assessment Tool to measure their program’s sustainability across 8 domains. Next, managers and stakeholders use results from the assessment to inform and prioritize sustainability action planning. Lastly, staff members implement the plan and keep track of progress toward their sustainability goals. Through this process, staff can more holistically address the internal and external challenges and pressures associated with sustaining a program. We include a case example of a chronic disease program that completed the Program Sustainability Assessment Tool and engaged in program sustainability planning. PMID:24456644

Research, Development and Demonstration (RD&D) Needs for Light Water Reactor (LWR) Technologies A Report to the Reactor Technology Subcommittee of the Nuclear Energy Advisory Committee (NEAC) Office of Nuclear Energy U.S. Department of Energy

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

McCarthy, Kathryn A.; Adams, Bradley J.

The LWR RD&D Working Group developed a detailed list of RD&D suggestions and recommendations, which are provided in Appendix D. The Working Group then undertook a systematic ranking process, described in Appendix E. The results of the ranking process are not meant to be a strict set of priorities, but rather should provide insight into how the items generally ranked within the Working Group. Future discussions and investigation into these items could provide information that would support a change in these priorities or in their emphasis. The results of this prioritization are provided below. Note that in general, many RD&Dmore » ideas are applicable to both new Advanced Light Water Reactor (ALWR) plants and currently operating plants.« less

Solar Program Assessment: Environmental Factors - Solar Agricultural and Industrial Process Heat.

ERIC Educational Resources Information Center

Energy Research and Development Administration, Washington, DC. Div. of Solar Energy.

The purpose of this report is to present and prioritize the major environmental issues associated with the further development of solar energy as a source of process heat in the industrial and agricultural sectors. To provide a background for this environmental analysis, the basic concepts and technologies of solar process heating are reviewed.…

Intervention strategies for carcass disposal: pareto analysis of exposures for exotic disease outbreaks.

PubMed

Delgado, João; Longhurst, Phil; Hickman, Gordon A W; Gauntlett, Daniel M; Howson, Simon F; Irving, Phil; Hart, Alwyn; Pollard, Simon J T

2010-06-15

An enhanced methodology for the policy-level prioritization of intervention options during carcass disposal is presented. Pareto charts provide a semiquantitative analysis of opportunities for multiple exposures to human health, animal health, and the wider environment during carcass disposal; they identify critical control points for risk management and assist in waste technology assessment. Eighty percent of the total availability of more than 1300 potential exposures to human, animal, or environmental receptors is represented by 16 processes, these being dominated by on-farm collection and carcass processing, reinforcing the criticality of effective controls during early stages of animal culling and waste processing. Exposures during mass burials are dominated by ground- and surface-water exposures with noise and odor nuisance prevalent for mass pyres, consistent with U.K. experience. Pareto charts are discussed in the context of other visualization formats for policy officials and promoted as a communication tool for informing the site-specific risk assessments required during the operational phases of exotic disease outbreaks.

Nanomaterial Case Study: Nanoscale Silver in Disinfectant ...

EPA Pesticide Factsheets

This draft document presents a case study of engineered nanoscale silver (nano-Ag), focusing on the specific example of nano-Ag as possibly used in disinfectant sprays. This case study is organized around a comprehensive environmental assessment (CEA) framework, which combines a product life-cycle perspective with the risk assessment paradigm. The document does not draw conclusions about potential risks. Instead, it is intended to be used as part of a process to identify what is known and unknown about nano-Ag in a selected application and can be used as a starting point to identify and prioritize possible research directions to support future assessments of nanomaterials. The information presented in the case study and the questions raised in this document are a foundation for a process to determine priorities among various research topics and directions. After that process has been completed, a final chapter will be added to this document to summarize highlights from preceding chapters and the major research issues that have emerged.

TDR Targets: a chemogenomics resource for neglected diseases.

PubMed

Magariños, María P; Carmona, Santiago J; Crowther, Gregory J; Ralph, Stuart A; Roos, David S; Shanmugam, Dhanasekaran; Van Voorhis, Wesley C; Agüero, Fernán

2012-01-01

The TDR Targets Database (http://tdrtargets.org) has been designed and developed as an online resource to facilitate the rapid identification and prioritization of molecular targets for drug development, focusing on pathogens responsible for neglected human diseases. The database integrates pathogen specific genomic information with functional data (e.g. expression, phylogeny, essentiality) for genes collected from various sources, including literature curation. This information can be browsed and queried using an extensive web interface with functionalities for combining, saving, exporting and sharing the query results. Target genes can be ranked and prioritized using numerical weights assigned to the criteria used for querying. In this report we describe recent updates to the TDR Targets database, including the addition of new genomes (specifically helminths), and integration of chemical structure, property and bioactivity information for biological ligands, drugs and inhibitors and cheminformatic tools for querying and visualizing these chemical data. These changes greatly facilitate exploration of linkages (both known and predicted) between genes and small molecules, yielding insight into whether particular proteins may be druggable, effectively allowing the navigation of chemical space in a genomics context.

TDR Targets: a chemogenomics resource for neglected diseases

PubMed Central

Magariños, María P.; Carmona, Santiago J.; Crowther, Gregory J.; Ralph, Stuart A.; Roos, David S.; Shanmugam, Dhanasekaran; Van Voorhis, Wesley C.; Agüero, Fernán

2012-01-01

The TDR Targets Database (http://tdrtargets.org) has been designed and developed as an online resource to facilitate the rapid identification and prioritization of molecular targets for drug development, focusing on pathogens responsible for neglected human diseases. The database integrates pathogen specific genomic information with functional data (e.g. expression, phylogeny, essentiality) for genes collected from various sources, including literature curation. This information can be browsed and queried using an extensive web interface with functionalities for combining, saving, exporting and sharing the query results. Target genes can be ranked and prioritized using numerical weights assigned to the criteria used for querying. In this report we describe recent updates to the TDR Targets database, including the addition of new genomes (specifically helminths), and integration of chemical structure, property and bioactivity information for biological ligands, drugs and inhibitors and cheminformatic tools for querying and visualizing these chemical data. These changes greatly facilitate exploration of linkages (both known and predicted) between genes and small molecules, yielding insight into whether particular proteins may be druggable, effectively allowing the navigation of chemical space in a genomics context. PMID:22116064

Technology Prioritization: Transforming the U.S. Building Stock to Embrace Energy Efficiency

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

Abdelaziz, Omar; Farese, Philip; Abramson, Alexis

2013-01-01

The U.S. Buildings sector is responsible for about 40% of the national energy expenditures. This is due in part to wasteful use of resources and limited considerations made for energy efficiency during the design and retrofit phases. Recent studies have indicated the potential for up to 30-50% energy savings in the U.S. buildings sector using currently available technologies. This paper discusses efforts to accelerate the transformation in the U.S. building energy efficiency sector using a new technology prioritization framework. The underlying analysis examines building energy use micro segments using the Energy Information Administration Annual Energy Outlook and other publically availablemore » information. The tool includes a stock-and-flow model to track stock vintage and efficiency levels with time. The tool can be used to investigate energy efficiency measures under a variety of scenarios and has a built-in energy accounting framework to prevent double counting of energy savings within any given portfolio. This tool is developed to inform decision making and estimate long term potential energy savings for different market adoption scenarios.« less

Rhesus macaques form preferences for brand logos through sex and social status based advertising

PubMed Central

Watson, Karli K.; Fitzsimons, Gavan J.; Platt, Michael L.

2018-01-01

Like humans, monkeys value information about sex and status, inviting the hypothesis that our susceptibility to these factors in advertising arises from shared, ancestral biological mechanisms that prioritize social information. To test this idea, we asked whether rhesus macaques (Macaca mulatta) show choice behavior that is similar to humans in response to sex and social status in advertising. Our results show that monkeys form preferences for brand logos repeatedly paired with images of macaque genitals and high status monkeys. Moreover, monkeys sustain preferences for these brand logos even though choosing them provided no tangible rewards, a finding that cannot be explained by a decision mechanism operating solely on material outcomes. Together, our results endorse the hypothesis that the power of sex and status in advertising emerges from the spontaneous engagement of shared, ancestral neural circuits that prioritize information useful for navigating the social environment. Finally, our results show that simple associative conditioning is sufficient to explain the formation of preferences for brand logos paired with sexual or status-based images. PMID:29462189

Rhesus macaques form preferences for brand logos through sex and social status based advertising.

PubMed

Acikalin, M Yavuz; Watson, Karli K; Fitzsimons, Gavan J; Platt, Michael L

2018-01-01

Like humans, monkeys value information about sex and status, inviting the hypothesis that our susceptibility to these factors in advertising arises from shared, ancestral biological mechanisms that prioritize social information. To test this idea, we asked whether rhesus macaques (Macaca mulatta) show choice behavior that is similar to humans in response to sex and social status in advertising. Our results show that monkeys form preferences for brand logos repeatedly paired with images of macaque genitals and high status monkeys. Moreover, monkeys sustain preferences for these brand logos even though choosing them provided no tangible rewards, a finding that cannot be explained by a decision mechanism operating solely on material outcomes. Together, our results endorse the hypothesis that the power of sex and status in advertising emerges from the spontaneous engagement of shared, ancestral neural circuits that prioritize information useful for navigating the social environment. Finally, our results show that simple associative conditioning is sufficient to explain the formation of preferences for brand logos paired with sexual or status-based images.

Research for better health: the Panamanian priority-setting experience and the need for a new process

PubMed Central

2014-01-01

Background Panama is, economically, the fastest growing country in Central America and is making efforts to improve management mechanisms for research and innovation. However, due to contextual factors, the Panamanian Health Research System is not well developed and is poorly coordinated with the Health System. Likewise, despite recent efforts to define a National Health Research Agenda, implementing this agenda and aligning it with Panamanians’ health needs remains difficult. This articles aims to review Panama’s experience in health research priority setting by analyzing the fairness of previous prioritization processes in order to promote an agreed-upon national agenda aligned with public health needs. Methods The three health research prioritization processes performed in Panama between 2006 and 2011 were analyzed based on the guidelines established by the four “Accountability for Reasonableness” principles, namely “relevance”, “publicity”, “revision”, and “enforcement”, which provide a framework for evaluating priority-setting fairness. Results The three health research priority-setting events performed in Panama during the reference period demonstrated a heterogeneous pattern of decision-making strategies, stakeholder group composition, and prioritization outcomes. None of the three analyzed events featured an open discussion process with the scientific community, health care providers, or civil society in order to reach consensus. Conclusions This investigation makes evident the lack of a strategy to encourage open discussion by the multiple stakeholders and interest groups that should be involved during the priority-setting process. The analysis reveals the need for a new priority-setting exercise that validates the National Agenda, promotes its implementation by the National Secretariat for Science, Technology and Innovation in conjunction with the Ministry of Health, and empowers multiple stakeholders; such an exercise would, in turn, favor the implementation of the agenda. PMID:25117661

Project prioritization and selection process : economic vitality.

DOT National Transportation Integrated Search

2010-05-19

This measure will attempt to gauge how improvements in the regions transportation network reduce constraints on commerce and industry, improve productivity and labor market access, and expand opportunity for new business.

Tanks Focus Area Site Needs Assessment - FY 2001

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

Allen, Robert W.; Josephson, Gary B.; Westsik, Joseph H.

2001-04-30

The TFA uses a systematic process for developing its annual program that draws from the tanks science and technology development needs expressed by the five DOE tank waste sites. TFA's annual program development process is iterative and involves the following steps: Collection of site needs; Needs analysis; Development of technical responses and initial prioritization; Refinement of the program for the next fiscal year; Formulation of the Corporate Review Budget (CRB); Preparation of Program Execution Guidance (PEG) for the next FY Revision of the Multiyear Program Plan (MYPP). This document describes the outcomes of the first phase of this process, frommore » collection of site needs to the initial prioritization of technical activities. The TFA received site needs in October - December 2000. A total of 170 site needs were received, an increase of 30 over the previous year. The needs were analyzed and integrated, where appropriate. Sixty-six distinct technical responses were drafted and prioritized. In addition, seven strategic tasks were approved to compete for available funding in FY 2002 and FY 2003. Draft technical responses were prepared and provided to the TFA Site Representatives and the TFA User Steering Group (USG) for their review and comment. These responses were discussed at a March 15, 2001, meeting where the TFA Management Team established the priority listing in preparation for input to the DOE Office of Science and Technology (OST) budget process. At the time of publication of this document, the TFA continues to finalize technical responses as directed by the TFA Management Team and clarify the intended work scopes for FY 2002 and FY 2003.« less

The Exposure Data Landscape for Manufactured Chemicals

EPA Science Inventory

The U.S. Environmental Protection Agency is developing chemical screening and prioritization programs to evaluate environmental chemicals for potential risk to human health in a rapid and efficient manner. As part of these efforts, it is important to catalog available information...

A MULTI-ATTRIBUTE APPROACH TO RISK PRIORITIZATION. (R827920)

EPA Science Inventory

The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Concl...

Data in Your Hands.

ERIC Educational Resources Information Center

Yeagley, Raymond

2001-01-01

A greater challenge than collecting and organizing data is transforming data into easily accessible, useful information that staff members can employ for school improvement. A New Hampshire district developed four guiding principles. They prioritized instructional change, instituted staff training, stressed communication of results, and invited…

20171015 - Predicting Exposure Pathways with Machine Learning (ISES)

EPA Science Inventory

Prioritizing the risk posed to human health from the thousands of chemicals in the environment requires tools that can estimate exposure rates from limited information. High throughput models exist to make predictions of exposure via specific, important pathways such as residenti...

Visualizing Host-Nation Sentiment at the Tactical Edge

DTIC Science & Technology

2014-06-01

HUMINT) and open source intelligence ( OSINT ) become prioritized above more traditional intelligence based on signals (SIGINT) and electronic sources...reliance on HUMINT and OSINT . Soldiers as peacekeepers must manage multiple information assets and resources, often relying on local and international

Exposure-Based Prioritization of Chemicals for Risk Assessment

EPA Science Inventory

Manufactured chemicals are used extensively to produce a wide variety of consumer goods and are required by important industrial sectors. Presently, information is insufficient to estimate risks posed to human health and the environment from the over ten thousand chemical substan...

Cancer Counseling of Low-Income Limited English Proficient Latina Women Using Medical Interpreters: Implications for Shared Decision-Making.

PubMed

Kamara, Daniella; Weil, Jon; Youngblom, Janey; Guerra, Claudia; Joseph, Galen

2018-02-01

In cancer genetic counseling (CGC), communication across language and culture challenges the model of practice based on shared decision-making. To date, little research has examined the decision-making process of low-income, limited English proficiency (LEP) patients in CGC. This study identified communication patterns in CGC sessions with this population and assessed how these patterns facilitate or inhibit the decision-making process during the sessions. We analyzed 24 audio recordings of CGC sessions conducted in Spanish via telephone interpreters at two public hospitals. Patients were referred for risk of hereditary breast and ovarian cancer; all were offered genetic testing. Audio files were coded by two bilingual English-Spanish researchers and analyzed using conventional content analysis through an iterative process. The 24 sessions included 13 patients, 6 counselors, and 18 interpreters. Qualitative data analyses identified three key domains - Challenges Posed by Hypothetical Explanations, Misinterpretation by the Medical Interpreter, and Communication Facilitators - that reflect communication patterns and their impact on the counselor's ability to facilitate shared decision-making. Overall, we found an absence of patient participation in the decision-making process. Our data suggest that when counseling LEP Latina patients via medical interpreter, prioritizing information with direct utility for the patient and organizing information into short- and long-term goals may reduce information overload and improve comprehension for patient and interpreter. Further research is needed to test the proposed counseling strategies with this population and to assess how applicable our findings are to other populations.

Framework and implementation of a continuous network-wide health monitoring system for roadways

NASA Astrophysics Data System (ADS)

Wang, Ming; Birken, Ralf; Shahini Shamsabadi, Salar

2014-03-01

According to the 2013 ASCE report card America's infrastructure scores only a D+. There are more than four million miles of roads (grade D) in the U.S. requiring a broad range of maintenance activities. The nation faces a monumental problem of infrastructure management in the scheduling and implementation of maintenance and repair operations, and in the prioritization of expenditures within budgetary constraints. The efficient and effective performance of these operations however is crucial to ensuring roadway safety, preventing catastrophic failures, and promoting economic growth. There is a critical need for technology that can cost-effectively monitor the condition of a network-wide road system and provide accurate, up-to-date information for maintenance activity prioritization. The Versatile Onboard Traffic Embedded Roaming Sensors (VOTERS) project provides a framework and the sensing capability to complement periodical localized inspections to continuous network-wide health monitoring. Research focused on the development of a cost-effective, lightweight package of multi-modal sensor systems compatible with this framework. An innovative software infrastructure is created that collects, processes, and evaluates these large time-lapse multi-modal data streams. A GIS-based control center manages multiple inspection vehicles and the data for further analysis, visualization, and decision making. VOTERS' technology can monitor road conditions at both the surface and sub-surface levels while the vehicle is navigating through daily traffic going about its normal business, thereby allowing for network-wide frequent assessment of roadways. This deterioration process monitoring at unprecedented time and spatial scales provides unique experimental data that can be used to improve life-cycle cost analysis models.

Practical health co-operation - the impact of a referral template on quality of care and health care co-operation: study protocol for a cluster randomized controlled trial.

PubMed

Wåhlberg, Henrik; Valle, Per Christian; Malm, Siri; Broderstad, Ann Ragnhild

2013-01-07

The referral letter plays a key role both in the communication between primary and secondary care, and in the quality of the health care process. Many studies have attempted to evaluate and improve the quality of these referral letters, but few have assessed the impact of their quality on the health care delivered to each patient. A cluster randomized trial, with the general practitioner office as the unit of randomization, has been designed to evaluate the effect of a referral intervention on the quality of health care delivered. Referral templates have been developed covering four diagnostic groups: dyspepsia, suspected colonic malignancy, chest pain, and chronic obstructive pulmonary disease. Of the 14 general practitioner offices primarily served by University Hospital of North Norway Harstad, seven were randomized to the intervention group. The primary outcome is a collated quality indicator score developed for each diagnostic group. Secondary outcomes include: quality of the referral, health process outcome such as waiting times, and adequacy of prioritization. In addition, information on patient satisfaction will be collected using self-report questionnaires. Outcome data will be collected on the individual level and analyzed by random effects linear regression. Poor communication between primary and secondary care can lead to inappropriate investigations and erroneous prioritization. This study's primary hypothesis is that the use of a referral template in this communication will lead to a measurable increase in the quality of health care delivered. This trial has been registered at ClinicalTrials.gov. The trial registration number is NCT01470963.

Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

PubMed

Han, Lichy; Ball, Robert; Pamer, Carol A; Altman, Russ B; Proestel, Scott

2017-09-01

As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports. FDA safety evaluators assessed 326 reports for medication-related causality. We engineered features from these reports and constructed random forest, L1 regularized logistic regression, and support vector machine models. We evaluated model accuracy and further assessed utility by generating report rankings that represented a prioritized report review process. Our random forest model showed the best performance in report ranking and accuracy, with an area under the receiver operating characteristic curve of 0.66. The generated report ordering assigns reports with a higher probability of medication-related causality a higher rank and is significantly correlated to a perfect report ordering, with a Kendall's tau of 0.24 ( P  = .002). Our models produced prioritized report orderings that enable FDA safety evaluators to focus on reports that are more likely to contain valuable medication-related adverse event information. Applying our models to all FDA adverse event reports has the potential to streamline the manual review process and greatly reduce reviewer workload. Published by Oxford University Press on behalf of the American Medical Informatics Association 2017. This work is written by US Government employees and is in the public domain in the United States.

[Reliable health information for patients with rare diseases : Quality demands defined by the National Action Plan and how they are put into practice].

PubMed

Schaefer, Corinna; Brunsmann, Frank; Siegert, Svenja

2017-05-01

Information for patients with rare diseases has to adhere to strict quality criteria in order to support individual treatment decisions or coping strategies. However, developers are facing specific challenges: For example, the evidence is often insufficient or of very low quality. In the context of the National Action League for People with Rare Diseases (NAMSE), criteria have been developed that assure high-quality information on rare diseases. Core criteria comprise the involvement of patients or their advocates in all stages of the development process, the systematic search and assessment of the evidence, systematic collection of patient experience, transparency in terms of people involved and funding, and nondirective and neutral formulation of content and documentation of the process. In a joint project between the Alliance for Chronic Rare Diseases (ACHSE e. V.) and the German Agency for Quality in Medicine (ÄZQ), ten short information leaflets on different rare diseases have been developed in the past three years, conceived to show the applicability of these criteria. First experiences with this format show that the criteria are adaptive to a broad range of diverse rare diseases and settings. Involving patients and their advocates throughout the whole development process - from prioritization to development of methods and provision of patient experience and coping strategies - is crucial. Insufficient evidence remains a challenge. The examples show that in the absence of proven findings, information that matters to patients and reflects this uncertainty is feasible.

Eye Contact Facilitates Awareness of Faces during Interocular Suppression

ERIC Educational Resources Information Center

Stein, Timo; Senju, Atsushi; Peelen, Marius V.; Sterzer, Philipp

2011-01-01

Eye contact captures attention and receives prioritized visual processing. Here we asked whether eye contact might be processed outside conscious awareness. Faces with direct and averted gaze were rendered invisible using interocular suppression. In two experiments we found that faces with direct gaze overcame such suppression more rapidly than…

Engagement with Young Adult Literature: Outcomes and Processes

ERIC Educational Resources Information Center

Ivey, Gay; Johnston, Peter H.

2013-01-01

This study examines students' perceptions of the outcomes and processes of engaged reading in classrooms prioritizing engagement through self-selected, self-paced reading of compelling young adult literature. The primary data were 71 end-of-year student interviews, supported by end-of-year teacher interviews, biweekly observational data,…

What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland

PubMed Central

Lehtomäki, Joona; Tuominen, Sakari; Toivonen, Tuuli; Leinonen, Antti

2015-01-01

The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone. PMID:26317227

What Data to Use for Forest Conservation Planning? A Comparison of Coarse Open and Detailed Proprietary Forest Inventory Data in Finland.

PubMed

Lehtomäki, Joona; Tuominen, Sakari; Toivonen, Tuuli; Leinonen, Antti

2015-01-01

The boreal region is facing intensifying resource extraction pressure, but the lack of comprehensive biodiversity data makes operative forest conservation planning difficult. Many countries have implemented forest inventory schemes and are making extensive and up-to-date forest databases increasingly available. Some of the more detailed inventory databases, however, remain proprietary and unavailable for conservation planning. Here, we investigate how well different open and proprietary forest inventory data sets suit the purpose of conservation prioritization in Finland. We also explore how much priorities are affected by using the less accurate but open data. First, we construct a set of indices for forest conservation value based on quantitative information commonly found in forest inventories. These include the maturity of the trees, tree species composition, and site fertility. Secondly, using these data and accounting for connectivity between forest types, we investigate the patterns in conservation priority. For prioritization, we use Zonation, a method and software for spatial conservation prioritization. We then validate the prioritizations by comparing them to known areas of high conservation value. We show that the overall priority patterns are relatively consistent across different data sources and analysis options. However, the coarse data cannot be used to accurately identify the high-priority areas as it misses much of the fine-scale variation in forest structures. We conclude that, while inventory data collected for forestry purposes may be useful for forest conservation purposes, it needs to be detailed enough to be able to account for more fine-scaled features of high conservation value. These results underline the importance of making detailed inventory data publicly available. Finally, we discuss how the prioritization methodology we used could be integrated into operative forest management, especially in countries in the boreal zone.

Prioritization and willingness to pay for bariatric surgery: the patient perspective

PubMed Central

Gill, Richdeep S.; Majumdar, Sumit R.; Wang, Xiaoming; Tuepah, Rebecca; Klarenbach, Scott W.; Birch, Daniel W.; Karmali, Shahzeer; Sharma, Arya M.; Padwal, Raj S.

2014-01-01

Background Access to publicly funded bariatric surgery is limited, potential candidates face lengthy waits, and no universally accepted prioritization criteria exist. We examined patients’ perspectives regarding prioritization for surgery. Methods We surveyed consecutively recruited patients awaiting bariatric surgery about 9 hypothetical scenarios describing patients waiting for surgery. Respondents were asked to rank the priority of these hypothetical patients on the wait list relative to their own. Scenarios examined variations in age, clinical severity, functional impairment, social dependence and socioeconomic status. Willingness to pay for faster access was assessed using a 5-point ordinal scale and analyzed using multivariable logistic regression. Results The 99 respondents had mean age of 44.7 ± 9.9 years, 76% were women, and the mean body mass index was 47.3 ± SD 7.6. The mean wait for surgery was 34.4 ± 9.4 months. Respondents assigned similar priority to hypothetical patients with characteristics identical to theirs (p = 0.22) and higher priority (greater urgency) to those exhibiting greater clinical severity (p < 0.001) and functional impairment (p = 0.003). Lower priority was assigned to patients at the extremes of age (p = 0.006), on social assistance (p < 0.001) and of high socioeconomic status (p < 0.001). Most (85%) respondents disagreed with payment to expedite access, although participants earning more than $80 000/year were less likely to disagree. Conclusion Most patients waiting for bariatric surgery consider greater clinical severity and functional impairments related to obesity to be important prioritization indicators and disagreed with paying for faster access. These findings may help inform future efforts to develop acceptable prioritization strategies for publicly funded bariatric surgery. PMID:24461224

A research agenda to reinforce rabies control: A qualitative and quantitative prioritization

PubMed Central

Hemrika, Tessa; Claassen, Eric; van de Burgwal, Linda H. M.

2018-01-01

Background Despite the existence of safe and effective vaccines, rabies disease still causes an estimated 59,000 human deaths a year in the endemic areas in Asia and Africa. These numbers reflect severe drawbacks regarding the implementation of PrEP and PEP in endemic settings, such as lack of political will and low priority given to rabies. Since these contextual factors have proven to be persistent, there is an urgency to improve current strategies or develop novel approaches in order to control rabies disease in the future. Methods/Findings This study aimed to identify and systematically prioritize the research needs, through interviews and questionnaires with key-opinion-leaders (KOLs). A total of 46 research needs were identified and prioritized. The top research needs are considered very high priority based on both importance for rabies control and need for improvement. KOLs agree that animal rabies control remains most important for rabies control, while research on human host, agent (rabies virus) and the environment should be prioritized in terms of need for improvement. A wide variety in perceptions is observed between and within the disciplines of virology, public health and veterinary health and between KOLs with more versus those with less experience in the field. Conclusion/Significance The results of this study give well-defined, prioritized issues that stress the drawbacks that are experienced by KOLs in daily practice. The most important research domains are: 1) cheap and scalable production system for RIG 2) efficacy of dog mass vaccination programs and 3) cheap human vaccines. Addressing these research needs should exist next to and may reinforce current awareness and mass vaccination campaigns. The differences in perspectives between actors revealed in this study are informative for effective execution of the One Health research agenda. PMID:29727444

Harnessing Omics Big Data in Nine Vertebrate Species by Genome-Wide Prioritization of Sequence Variants with the Highest Predicted Deleterious Effect on Protein Function.

PubMed

Rozman, Vita; Kunej, Tanja

2018-05-10

Harnessing the genomics big data requires innovation in how we extract and interpret biologically relevant variants. Currently, there is no established catalog of prioritized missense variants associated with deleterious protein function phenotypes. We report in this study, to the best of our knowledge, the first genome-wide prioritization of sequence variants with the most deleterious effect on protein function (potentially deleterious variants [pDelVars]) in nine vertebrate species: human, cattle, horse, sheep, pig, dog, rat, mouse, and zebrafish. The analysis was conducted using the Ensembl/BioMart tool. Genes comprising pDelVars in the highest number of examined species were identified using a Python script. Multiple genomic alignments of the selected genes were built to identify interspecies orthologous potentially deleterious variants, which we defined as the "ortho-pDelVars." Genome-wide prioritization revealed that in humans, 0.12% of the known variants are predicted to be deleterious. In seven out of nine examined vertebrate species, the genes encoding the multiple PDZ domain crumbs cell polarity complex component (MPDZ) and the transforming acidic coiled-coil containing protein 2 (TACC2) comprise pDelVars. Five interspecies ortho-pDelVars were identified in three genes. These findings offer new ways to harness genomics big data by facilitating the identification of functional polymorphisms in humans and animal models and thus provide a future basis for optimization of protocols for whole genome prioritization of pDelVars and screening of orthologous sequence variants. The approach presented here can inform various postgenomic applications such as personalized medicine and multiomics study of health interventions (iatromics).

A research agenda to reinforce rabies control: A qualitative and quantitative prioritization.

PubMed

Neevel, Anne M G; Hemrika, Tessa; Claassen, Eric; van de Burgwal, Linda H M

2018-05-01

Despite the existence of safe and effective vaccines, rabies disease still causes an estimated 59,000 human deaths a year in the endemic areas in Asia and Africa. These numbers reflect severe drawbacks regarding the implementation of PrEP and PEP in endemic settings, such as lack of political will and low priority given to rabies. Since these contextual factors have proven to be persistent, there is an urgency to improve current strategies or develop novel approaches in order to control rabies disease in the future. This study aimed to identify and systematically prioritize the research needs, through interviews and questionnaires with key-opinion-leaders (KOLs). A total of 46 research needs were identified and prioritized. The top research needs are considered very high priority based on both importance for rabies control and need for improvement. KOLs agree that animal rabies control remains most important for rabies control, while research on human host, agent (rabies virus) and the environment should be prioritized in terms of need for improvement. A wide variety in perceptions is observed between and within the disciplines of virology, public health and veterinary health and between KOLs with more versus those with less experience in the field. The results of this study give well-defined, prioritized issues that stress the drawbacks that are experienced by KOLs in daily practice. The most important research domains are: 1) cheap and scalable production system for RIG 2) efficacy of dog mass vaccination programs and 3) cheap human vaccines. Addressing these research needs should exist next to and may reinforce current awareness and mass vaccination campaigns. The differences in perspectives between actors revealed in this study are informative for effective execution of the One Health research agenda.

Prioritization and willingness to pay for bariatric surgery: the patient perspective.

PubMed

Gill, Richdeep S; Majumdar, Sumit R; Wang, Xiaoming; Tuepah, Rebecca; Klarenbach, Scott W; Birch, Daniel W; Karmali, Shahzeer; Sharma, Arya M; Padwal, Raj S

2014-02-01

Access to publicly funded bariatric surgery is limited, potential candidates face lengthy waits, and no universally accepted prioritization criteria exist. We examined patients' perspectives regarding prioritization for surgery. We surveyed consecutively recruited patients awaiting bariatric surgery about 9 hypothetical scenarios describing patients waiting for surgery. Respondents were asked to rank the priority of these hypothetical patients on the wait list relative to their own. Scenarios examined variations in age, clinical severity, functional impairment, social dependence and socioeconomic status. Willingness to pay for faster access was assessed using a 5-point ordinal scale and analyzed using multivariable logistic regression. The 99 respondents had mean age of 44.7 ± 9.9 years, 76% were women, and the mean body mass index was 47.3 ± SD 7.6. The mean wait for surgery was 34.4 ± 9.4 months. Respondents assigned similar priority to hypothetical patients with characteristics identical to theirs (p = 0.22) and higher priority (greater urgency) to those exhibiting greater clinical severity (p < 0.001) and functional impairment (p = 0.003). Lower priority was assigned to patients at the extremes of age (p = 0.006), on social assistance (p < 0.001) and of high socioeconomic status (p < 0.001). Most (85%) respondents disagreed with payment to expedite access, although participants earning more than $80 000/year were less likely to disagree. Most patients waiting for bariatric surgery consider greater clinical severity and functional impairments related to obesity to be important prioritization indicators and disagreed with paying for faster access. These findings may help inform future efforts to develop acceptable prioritization strategies for publicly funded bariatric surgery.

Prioritization of strategies to approach the judicialization of health in Latin America and the Caribbean

PubMed Central

Pinzón-Flórez, Carlos Eduardo; Chapman, Evelina; Cubillos, Leonardo; Reveiz, Ludovic

2016-01-01

ABSTRACT OBJECTIVE To describe strategies that contribute to the comprehensive approach to the judicialization of health in countries of Latin America and the Caribbean. METHODS A search was structured to identify articles presenting strategies to approach the judicialization of health. A survey was designed, which included actors of the health system and judiciary sector. We prioritized the strategies qualified by more than the 50.0% of the participants as “very relevant”. Strategies were categorized according to: governance, provision of services, human resources, information systems, financing, and medical products. RESULTS We included 64 studies, which identified 50 strategies, related to the sub-functions and components of health systems. Of the 165 people who answered the survey, 80.0% were aged 35-64 years. The distribution of men and women was homogeneous. Half of the respondents were from Colombia (20.0%), Uruguay (16.9%), and Argentina (12.7%). We prioritized strategies that addressed aspects of generation of useful scientific evidence for decision making according to the health needs of the population, empowerment for the society, and creating spaces for discussion of measures of inclusion or exclusion of health technologies. The executive and judiciary decision makers prioritized questions that dealt with strategies that would ensure accountability. CONCLUSIONS The results of this study contribute to the identification of effective strategies to approach the phenomenon of judicialization of health, guaranteeing the right to health. PMID:27598786

Perfluorooctane sulfonate (PFOS) contamination of fish in urban lakes: a prioritization methodology for lake management.

PubMed

Xiao, Feng; Gulliver, John S; Simcik, Matt F

2013-12-15

The contamination of urban lakes by anthropogenic pollutants such as perfluorooctane sulfonate (PFOS) is a worldwide environmental problem. Large-scale, long-term monitoring of urban lakes requires careful prioritization of available resources, focusing efforts on potentially impaired lakes. Herein, a database of PFOS concentrations in 304 fish caught from 28 urban lakes was used for development of an urban-lake prioritization framework by means of exploratory data analysis (EDA) with the aid of a geographical information system. The prioritization scheme consists of three main tiers: preliminary classification, carried out by hierarchical cluster analysis; predictor screening, fulfilled by a regression tree method; and model development by means of a neural network. The predictive performance of the newly developed model was assessed using a training/validation splitting method and determined by an external validation set. The application of the model in the U.S. state of Minnesota identified 40 urban lakes that may contain elevated levels of PFOS; these lakes were not previously considered in PFOS monitoring programs. The model results also highlight ongoing industrial/commercial activities as a principal determinant of PFOS pollution in urban lakes, and suggest vehicular traffic as an important source and surface runoff as a primary pollution carrier. In addition, the EDA approach was further compared to a spatial interpolation method (kriging), and their advantages and disadvantages were discussed. Copyright © 2013 Elsevier Ltd. All rights reserved.