Application of risk-based methodologies to prioritize safety resources

International Nuclear Information System (INIS)

Rahn, F.J.; Sursock, J.P.; Hosler, J.

1993-01-01

The Electric Power Research Institute (EPRI) started a program entitled risk-based prioritization in 1992. The purpose of this program is to provide generic technical support to the nuclear power industry relative to its recent initiatives in the area of operations and maintenance (O ampersand M) cost control using state-of-the-art risk methods. The approach uses probabilistic risk assessment (PRA), or similar techniques, to allocate resources commensurate with the risk posed by nuclear plant operations. Specifically, those items or events that have high risk significance would receive the most attention, while those with little risk content would command fewer resources. As quantified in a companion paper,close-quote the potential O ampersand M cost reduction inherent in this approach is very large. Furthermore, risk-based methods should also lead to safety improvements. This paper outlines the way that the EPRI technical work complements the technical, policy, and regulatory initiatives taken by others in the industry and provides an example of the approach as used to prioritize motor-operated valve (MOV) testing in response to US Nuclear Regulatory Commission (NRC) Generic Letter 89-10

Research prioritization of men’s health and urologic diseases

Directory of Open Access Journals (Sweden)

Tyler Okland

Full Text Available ABSTRACT Objectives We sought to determine whether disease representation in the Cochrane Database of Systematic Reviews (CDSR reflects disease burden, measured by the Global Burden of Disease (GBD Study as disability-adjusted life-years (DALYs. Materials and Methods Two investigators performed independent assessment of ten men’s health and urologic diseases (MHUDs in CDSR for systematic review and protocol representation, which were compared with percentage of total 2010 DALYs for the ten conditions. Data were analyzed for correlation using Spearman rank analysis. Results Nine of ten MHUDs were represented by at least one CDSR review. There was a poor and statistically insignificant positive correlation between CDSR representation and disease burden (rho = 0.42, p = 0.23. CDSR representation was aligned with disease burden for three conditions, greater than disease burden for one condition, and less than disease burden for six conditions. Conclusions These results yield high-quality estimates to inform future research prioritization for MHUDs. While prioritization processes are complex and multi-faceted, disease burden should be strongly considered. Awareness of research priority setting has the potential to minimize research disparities on a global scale.

Prioritizing research to reduce youth suicide and suicidal behavior.

Science.gov (United States)

Bridge, Jeffrey A; Horowitz, Lisa M; Fontanella, Cynthia A; Grupp-Phelan, Jackie; Campo, John V

2014-09-01

The goal of the National Action Alliance for Suicide Prevention is to reduce suicide and suicide attempts in the U.S. by 40% in the next decade. In this paper, a public health approach is applied to suicide prevention to illustrate how reductions in youth suicide and suicidal behavior might be achieved by prioritizing research in two areas: (1) increasing access to primary care-based behavioral health interventions for depressed youth and (2) improving continuity of care for youth who present to emergency departments after a suicide attempt. Finally, some scientific, clinical, and methodologic breakthroughs needed to achieve rapid, substantial, and sustained reductions in youth suicide and suicidal behavior are discussed. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Patient needs and research priorities in the enteral nutrition market - a quantitative prioritization analysis.

Science.gov (United States)

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

A meta-analysis based method for prioritizing candidate genes involved in a pre-specific function

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Jingjing Zhai

2016-12-01

Full Text Available The identification of genes associated with a given biological function in plants remains a challenge, although network-based gene prioritization algorithms have been developed for Arabidopsis thaliana and many non-model plant species. Nevertheless, these network-based gene prioritization algorithms have encountered several problems; one in particular is that of unsatisfactory prediction accuracy due to limited network coverage, varying link quality, and/or uncertain network connectivity. Thus a model that integrates complementary biological data may be expected to increase the prediction accuracy of gene prioritization. Towards this goal, we developed a novel gene prioritization method named RafSee, to rank candidate genes using a random forest algorithm that integrates sequence, evolutionary, and epigenetic features of plants. Subsequently, we proposed an integrative approach named RAP (Rank Aggregation-based data fusion for gene Prioritization, in which an order statistics-based meta-analysis was used to aggregate the rank of the network-based gene prioritization method and RafSee, for accurately prioritizing candidate genes involved in a pre-specific biological function. Finally, we showcased the utility of RAP by prioritizing 380 flowering-time genes in Arabidopsis. The ‘leave-one-out’ cross-validation experiment showed that RafSee could work as a complement to a current state-of-art network-based gene prioritization system (AraNet v2. Moreover, RAP ranked 53.68% (204/380 flowering-time genes higher than AraNet v2, resulting in an 39.46% improvement in term of the first quartile rank. Further evaluations also showed that RAP was effective in prioritizing genes-related to different abiotic stresses. To enhance the usability of RAP for Arabidopsis and non-model plant species, an R package implementing the method is freely available at http://bioinfo.nwafu.edu.cn/software.

Component Fragility Research Program: Phase 1 component prioritization

International Nuclear Information System (INIS)

Holman, G.S.; Chou, C.K.

1987-06-01

Current probabilistic risk assessment (PRA) methods for nuclear power plants utilize seismic ''fragilities'' - probabilities of failure conditioned on the severity of seismic input motion - that are based largely on limited test data and on engineering judgment. Under the NRC Component Fragility Research Program (CFRP), the Lawrence Livermore National Laboratory (LLNL) has developed and demonstrated procedures for using test data to derive probabilistic fragility descriptions for mechanical and electrical components. As part of its CFRP activities, LLNL systematically identified and categorized components influencing plant safety in order to identify ''candidate'' components for future NRC testing. Plant systems relevant to safety were first identified; within each system components were then ranked according to their importance to overall system function and their anticipated seismic capacity. Highest priority for future testing was assigned to those ''very important'' components having ''low'' seismic capacity. This report describes the LLNL prioritization effort, which also included application of ''high-level'' qualification data as an alternate means of developing probabilistic fragility descriptions for PRA applications

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

Science.gov (United States)

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...

Prioritizing research needs: insights from a healthcare organization in Iran

Directory of Open Access Journals (Sweden)

Mohammadkarim Bahadori 1*, Ehsan Teimourzadeh 1, Ali Farzaneh 1, Mostafa Nejati 2

2011-09-01

Full Text Available Objectives: The goal of this study was to identify the priorityof research needs in a healthcare organization in Iran, based onidentification of the problems faced by patients, as the mainrecipients of healthcare services.Method: A cross -sectional descriptive study was planned toachieve the objectives of study. The service recipients sampleconsisted of 400 patients. Given the necessity to gain in-depthinsights of the subject matter, a qualitative research design waschosen. A number of 50 interviews were conducted withindividuals from among 400 patients. The data was analyzedusing ATLAS.ti softwarePrioritizing of the topics was doneusing Analytical Hierarchy Process (AHP method and theExpert Choice software.Results: Based on the issues extracted from the interviews anddiscourses, 13 research topics were proposed by experts.Among these, the topics “designing the model of premium andcomplementary franchise payment, proportional to theincome, access and enjoyment”, “designing the dental servicespackage with specific premium in three basic, complementaryand optional levels” and “Presenting the model of diseaseprevention in healthcare organizations” acquired the highestpriority ranked 1 to 3 and earning the scores of 0.63, 0.61 and0.41, respectively.Conclusion: Because resources are limited and needs areunlimited, in order to avoid wasting research resources inhealthcare organizations, allocating the resources must bebased on the extracted priorities; and this is vital to fulfill theorganizational objectives.

A large-scale benchmark of gene prioritization methods.

Science.gov (United States)

Guala, Dimitri; Sonnhammer, Erik L L

2017-04-21

In order to maximize the use of results from high-throughput experimental studies, e.g. GWAS, for identification and diagnostics of new disease-associated genes, it is important to have properly analyzed and benchmarked gene prioritization tools. While prospective benchmarks are underpowered to provide statistically significant results in their attempt to differentiate the performance of gene prioritization tools, a strategy for retrospective benchmarking has been missing, and new tools usually only provide internal validations. The Gene Ontology(GO) contains genes clustered around annotation terms. This intrinsic property of GO can be utilized in construction of robust benchmarks, objective to the problem domain. We demonstrate how this can be achieved for network-based gene prioritization tools, utilizing the FunCoup network. We use cross-validation and a set of appropriate performance measures to compare state-of-the-art gene prioritization algorithms: three based on network diffusion, NetRank and two implementations of Random Walk with Restart, and MaxLink that utilizes network neighborhood. Our benchmark suite provides a systematic and objective way to compare the multitude of available and future gene prioritization tools, enabling researchers to select the best gene prioritization tool for the task at hand, and helping to guide the development of more accurate methods.

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

Energy Technology Data Exchange (ETDEWEB)

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. In 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.

IT Project Prioritization Process

DEFF Research Database (Denmark)

Shollo, Arisa; Constantiou, Ioanna

2013-01-01

In most of the large companies IT project prioritization process is designed based on principles of evidencebased management. We investigate a case of IT project prioritization in a financial institution, and in particular, how managers practice evidence-based management during this process. We use...... a rich dataset built from a longitudinal study of the prioritization process for the IT projects. Our findings indicate that managers reach a decision not only by using evidence but from the interplay between the evidence and the judgment devices that managers employ. The interplay between evidence...

A fuzzy ANP application for prioritizing the productivity factors based on university employees' counterproductive behaviors

Directory of Open Access Journals (Sweden)

Zahra Alipour Darvishi

2014-07-01

Full Text Available Measuring the relative efficiency of employee plays essential role on the success of any organization including universities. In this paper, we present a survey to detect and to prioritize important factors influencing on the productivity of employees who work for one of Iranian universities located in city of Tehran, Iran. The study also uses analytical network process to prioritize the factors. Based on the results of our survey, we have categorized effective productivity factors into three groups of research, educational and administration groups. In our survey, coherence and unity with no dispersion of the employee's duties, systematic job rotation and correct design communication job are among the most important factors influencing on employees’ productivity.

Prioritizing Roads Safety Based on the Quasi-Induced Exposure Method and Utilization of the Analytical Hierarchy Process

Directory of Open Access Journals (Sweden)

Sajad rezaei

2014-06-01

Full Text Available Safety analysis of the roads through the accident rates which is one of the widely used tools has been resulted from the direct exposure method which is based on the ratio of the vehicle-kilometers traveled and vehicle-travel time. However, due to some fundamental flaws in its theories and difficulties in gaining access to the data required such as traffic volume, distance and duration of the trip, and various problems in determining the exposure in a specific time, place, and individual categories, there is a need for an algorithm for prioritizing the road safety so that with a new exposure method, the problems of the previous approaches would be resolved. In this way, an efficient application may lead to have more realistic comparisons and the new method would be applicable to a wider range of time, place, and individual categories. Therefore, an algorithm was introduced to prioritize the safety of roads using the quasi-induced exposure method and utilizing the analytical hierarchy process. For this research, 11 provinces of Iran were chosen as case study locations. A rural accidents database was created for these provinces, the validity of quasi-induced exposure method for Iran’s accidents database was explored, and the involvement ratio for different characteristics of the drivers and the vehicles was measured. Results showed that the quasi-induced exposure method was valid in determining the real exposure in the provinces under study. Results also showed a significant difference in the prioritization based on the new and traditional approaches. This difference mostly would stem from the perspective of the quasi-induced exposure method in determining the exposure, opinion of experts, and the quantity of accidents data. Overall, the results for this research showed that prioritization based on the new approach is more comprehensive and reliable compared to the prioritization in the traditional approach which is dependent on various

Interaction Matrices as a Tool for Prioritizing Radioecology Research

Energy Technology Data Exchange (ETDEWEB)

Mora, J.C.; Robles, Beatriz [Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas - CIEMAT (Spain); Bradshaw, Clare; Stark, Karolina [Stockholm University (Sweden); Sweeck, Liev; Vives i Batlle, Jordi [Belgian Nuclear Research Centre SCK-CEN (Belgium); Beresford, Nick [Centre for Ecology and Hydrology - CEH (United Kingdom); Thoerring, Havard; Dowdall, Mark [Norwegian Radiation Protection Authority - NRPA (Norway); Outola, Iisa; Turtiainen, Tuukka; Vetikko, Virve [STUK - Radiation and Nuclear Safety Authority (Finland); Steiner, Martin [Federal Office for Radiation Protection - BfS (Germany); Beaugelin-Seiller, Karine; Fevrier, Laureline; Hurtevent, Pierre; Boyer, Patrick [Institut de Radioprotection et de Surete Nucleaire - IRSN (France)

2014-07-01

Interaction Matrices as a Tool for Prioritizing Radioecology Research J.C. Mora CIEMAT In 2010 the Strategy for Allied Radioecology (STAR) was launched with several objectives aimed towards integrating the radioecology research efforts of nine institutions in Europe. One of these objectives was the creation of European Radioecology Observatories. The Chernobyl Exclusion Zone (CEZ) and the Upper Silesian Coal Basin (USCB), a coal mining area in Poland, have been chosen after a selection process. A second objective was to develop a system for improving and validating the capabilities of predicting the behaviour of the main radionuclides existing at these observatories. Interaction Matrices (IM) have been used since the 1990's as a tool for developing ecological conceptual models and have also been used within radioecology. The Interaction Matrix system relies on expert judgement for structuring knowledge of a given ecosystem at the conceptual level and was selected for use in the STAR project. A group of experts, selected from each institution of STAR, designed two matrices with the main compartments for each ecosystem (a forest in CEZ and a lake in USCB). All the features, events and processes (FEPs) which could affect the behaviour of the considered radionuclides, focusing on radiocaesium in the Chernobyl forest and radium in the Rontok-Wielki lake, were also included in each IM. Two new sets of experts were appointed to review, improve and prioritize the processes included in each IM. A first processing of the various candidate interaction matrices produced a single interaction matrix for each ecosystem which incorporated all experts combined knowledge. During the prioritization of processes in the IMs, directed towards developing a whole predictive model of radionuclides behaviour in those ecosystems, raised interesting issues related to the processes and parameters involved, regarding the existing knowledge in them. This exercise revealed several processes

Needs-based sewerage prioritization: alternative to conventional cost-benefit analysis.

Science.gov (United States)

Rashid, Md M; Hayes, Donald F

2011-10-01

This paper presents an empirical approach to select and prioritize sewerage projects within set budgetary limitations. The methodology includes a model which quantifies benefits of a sewerage project as an index or dimensionless number. The index considers need and urgency of sewerage and other project goals. Benefit is defined as the difference in anticipated impact between the current condition (without the project) and the expected condition with the project. Anticipated benefits primarily include reduction in environmental pollution, reduction of human diseases and morbidity, and other tangible and intangible improvement. This approach is a powerful decision tool for sewerage prioritization and an effective alternative to conventional cost-benefit analysis. Unlike conventional analysis, this approach makes no attempt to convert project benefits and other impacts into a monetary measure. This work recognizes that the decision to provide sewerage based solely on net benefits is not practical. Instead, benefit-cost ratios (B/C) are calculated utilizing cost-effectiveness approach. Using these ratios, 16 unserviced areas of Ensenada, Mexico are ranked. The prioritization rankings produced by this method must be further scrutinized and carefully reviewed for logic, accuracy of input data, and practicality of implementation. A similar framework may also be useful for prioritizing other public works projects. Copyright © 2011 Elsevier Ltd. All rights reserved.

Sensitivity and uncertainty analyses in aging risk-based prioritizations

International Nuclear Information System (INIS)

Hassan, M.; Uryas'ev, S.; Vesely, W.E.

1993-01-01

Aging risk evaluations of nuclear power plants using Probabilistic Risk Analyses (PRAs) involve assessments of the impact of aging structures, systems, and components (SSCs) on plant core damage frequency (CDF). These assessments can be used to prioritize the contributors to aging risk reflecting the relative risk potential of the SSCs. Aging prioritizations are important for identifying the SSCs contributing most to plant risk and can provide a systematic basis on which aging risk control and management strategies for a plant can be developed. However, these prioritizations are subject to variabilities arising from uncertainties in data, and/or from various modeling assumptions. The objective of this paper is to present an evaluation of the sensitivity of aging prioritizations of active components to uncertainties in aging risk quantifications. Approaches for robust prioritization of SSCs also are presented which are less susceptible to the uncertainties

A risk-based approach to prioritize underground storage tanks

International Nuclear Information System (INIS)

Chidambariah, V.; Travis, C.C.; Trabalka, J.R.; Thomas, J.K.

1992-01-01

The purpose of this paper is to present a risk-based approach for rapid prioritization of low level liquid radioactive waste underground storage tanks (LLLW USTs) for possible interim corrective measures and/or ultimate closure. The ranking of LLLW USTs is needed to ensure that tanks with the greatest potential for adverse impact on the environment and human health receive top priority for further evaluation and remediation. Wastes from the LLLW USTs at the Oak Ridge National Laboratory (ORNL) were pumped out at the time the tanks were removed from service. The residual liquids and sludge contain a mixture of radionuclides and chemicals. Contaminants of concern that were identified in the liquid phase of the inactive LLLW USTs include, the radionuclides, 9O Sr, 137 Cs and 233 U and the chemicals, carbon tetrachloride, trichloroethene, tetrachloroethene, methyl ethyl ketone, mercury, lead and chromium. The risk-based approach for prioritization of the LLLW USTs is based upon three major criteria: (1) leaking characteristics of the tank; (2) location of the tanks; and (3) toxic potential of the tank contents

Hesitant fuzzy linguistic multicriteria decision-making method based on generalized prioritized aggregation operator.

Science.gov (United States)

Wu, Jia-ting; Wang, Jian-qiang; Wang, Jing; Zhang, Hong-yu; Chen, Xiao-hong

2014-01-01

Based on linguistic term sets and hesitant fuzzy sets, the concept of hesitant fuzzy linguistic sets was introduced. The focus of this paper is the multicriteria decision-making (MCDM) problems in which the criteria are in different priority levels and the criteria values take the form of hesitant fuzzy linguistic numbers (HFLNs). A new approach to solving these problems is proposed, which is based on the generalized prioritized aggregation operator of HFLNs. Firstly, the new operations and comparison method for HFLNs are provided and some linguistic scale functions are applied. Subsequently, two prioritized aggregation operators and a generalized prioritized aggregation operator of HFLNs are developed and applied to MCDM problems. Finally, an illustrative example is given to illustrate the effectiveness and feasibility of the proposed method, which are then compared to the existing approach.

Prioritization of pavement maintenance sections using objective based Analytic Hierarchy Process

Directory of Open Access Journals (Sweden)

Sarfaraz Ahmed

2017-03-01

Full Text Available The application of Analytic Hierarchy Process (AHP method for the prioritization of pavement maintenance sections is widespread now-a-days. Although the evaluation of pavement maintenance section through AHP method is simple, where the relative importance (on Saaty’s scale assigned to each parameter in the hierarchy varies between the experts (transportation professionals consulted, which leads to discrepancies in the final rankings of the sections’, due to the subjectivity in the process. Further, experts base their decisions solely on their experience while consideration is not given to the actual quantitative physical condition of the roads. To overcome these difficulties an objective based AHP method is proposed in this study, where pairwise comparison values are assigned based on the collected field data from a road network in Mumbai city, consisting of 28 road sections. The final ranking list of candidate sections takes into consideration the priority weight of alternatives, which reflect the road conditions. The solution of priority ratings of AHP method is compared with the corresponding solution of road condition index method, a traditional pavement maintenance procedure. The findings of the present study suggest that objective based AHP method is more suitable for the prioritization of pavement maintenance of roads. Keywords: Prioritization, Analytic Hierarchy Process, Road condition index, Objective method, Rating and ranking

Online Counseling: Prioritizing Psychoeducation, Self-Help, and Mutual Help for Counseling Psychology Research and Practice

Science.gov (United States)

Chang, Tai

2005-01-01

This reaction article extends the research and practice recommendations for online counseling from the Major Contribution to the November 2005 issue of "The Counseling Psychologist" by prioritizing research and practice in online psychoeducation, self-help, and mutual help. Research suggests that tens of millions of Americans use the Internet for…

Participatory methods for research prioritization in primary care: an analysis of the World Café approach in Ireland and the USA.

Science.gov (United States)

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.

Effectiveness of a risk-based visitor-prioritizing system at a sexually transmitted infection outpatient clinic

NARCIS (Netherlands)

Heijman, Titia L. J.; van der Bij, Akke K.; de Vries, Henry J. C.; van Leent, Edwin J. M.; Thiesbrummel, Harold F. J.; Fennema, Han S. A.

2007-01-01

The objective of this study was to study the efficacy/effectiveness of a risk-based visitor-prioritizing system at a sexually transmitted infection (STI) clinic aimed to improve screening capacity by providing tailored service. In April 2004, a prioritizing system was implemented that classifies

Effectiveness of a risk-based visitor-prioritizing system at a sexually transmitted infection outpatient clinic

NARCIS (Netherlands)

Heijman, T.L.J.; van der Bij, A.K.; de Vries, H.J.C.; van Leent, E.J.M.; Thiesbrummel, H.F.J.; Fennema, H.S.A.

2007-01-01

Objective: The objective of this study was to study the efficacy/effectiveness of a risk-based visitor-prioritizing system at a sexually transmitted infection (STI) clinic aimed to improve screening capacity by providing tailored service. Study Design: In April 2004, a prioritizing system was

Risk-based prioritization and its application to inspection of valves in the water sector

International Nuclear Information System (INIS)

Marlow, David R.; Beale, David J.; Mashford, John S.

2012-01-01

Isolation valves facilitate the effective operation and maintenance of water supply networks, but their sheer number presents a significant asset management challenge. If left unmanaged, valve reliability issues can become widespread. Inspections provide a means of increasing reliability, but a survey of industry practices indicated that some utilities did not have such a program in place. To improve asset management and reduce business risk exposure, such utilities need an effective means of commencing inspection programs. From a theoretical perspective, risk concepts provide a means of optimizing maintenance effort. However, in the face of poor data on reliability or condition, pragmatic approaches to risk-based prioritization are needed. One such approach, risk indexing, is considered in this paper. Background on the research is presented, including the application of risk-based inspection concepts within the water sector. The development of a risk indexing scheme is then investigated, drawing on two industry workshops in which the analytical hierarchy process was used to set relative weights. It is concluded that risk indexing provides the basis for a rational prioritization process in the absence of data on valve reliability or condition. - Highlights: ► Importance of valve inspections to water network reliability. ► Theoretical perspective of risk concepts that provide a means of optimizing inspection programs. ► Pragmatic approaches to prioritization in light of poor valve data. ► Development and assessment of a risk index scheme. ► Use of the analytical hierarchy process to set relative weights of risk factors.

Speeding disease gene discovery by sequence based candidate prioritization

Directory of Open Access Journals (Sweden)

Porteous David J

2005-03-01

Full Text Available Abstract Background Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is reduced by matching functional annotation to knowledge of the disease or phenotype in question. However, here we show that disease genes share patterns of sequence-based features that can provide a good basis for automatic prioritization of candidates by machine learning. Results We examined a variety of sequence-based features and found that for many of them there are significant differences between the sets of genes known to be involved in human hereditary disease and those not known to be involved in disease. We have created an automatic classifier called PROSPECTR based on those features using the alternating decision tree algorithm which ranks genes in the order of likelihood of involvement in disease. On average, PROSPECTR enriches lists for disease genes two-fold 77% of the time, five-fold 37% of the time and twenty-fold 11% of the time. Conclusion PROSPECTR is a simple and effective way to identify genes involved in Mendelian and oligogenic disorders. It performs markedly better than the single existing sequence-based classifier on novel data. PROSPECTR could save investigators looking at large regions of interest time and effort by prioritizing positional candidate genes for mutation detection and case-control association studies.

Environmental restoration risk-based prioritization work package planning and risk ranking methodology. Revision 2

International Nuclear Information System (INIS)

Dail, J.L.; Nanstad, L.D.; White, R.K.

1995-06-01

This document presents the risk-based prioritization methodology developed to evaluate and rank Environmental Restoration (ER) work packages at the five US Department of Energy, Oak Ridge Field Office (DOE-ORO) sites [i.e., Oak Ridge K-25 Site (K-25), Portsmouth Gaseous Diffusion Plant (PORTS), Paducah Gaseous Diffusion Plant (PGDP), Oak Ridge National Laboratory (ORNL), and the Oak Ridge Y-12 Plant (Y-12)], the ER Off-site Program, and Central ER. This prioritization methodology was developed to support the increased rigor and formality of work planning in the overall conduct of operations within the DOE-ORO ER Program. Prioritization is conducted as an integral component of the fiscal ER funding cycle to establish program budget priorities. The purpose of the ER risk-based prioritization methodology is to provide ER management with the tools and processes needed to evaluate, compare, prioritize, and justify fiscal budget decisions for a diverse set of remedial action, decontamination and decommissioning, and waste management activities. The methodology provides the ER Program with a framework for (1) organizing information about identified DOE-ORO environmental problems, (2) generating qualitative assessments of the long- and short-term risks posed by DOE-ORO environmental problems, and (3) evaluating the benefits associated with candidate work packages designed to reduce those risks. Prioritization is conducted to rank ER work packages on the basis of the overall value (e.g., risk reduction, stakeholder confidence) each package provides to the ER Program. Application of the methodology yields individual work package ''scores'' and rankings that are used to develop fiscal budget requests. This document presents the technical basis for the decision support tools and process

Risk-based prioritization of ground water threatening point sources at catchment and regional scales

DEFF Research Database (Denmark)

Overheu, Niels Døssing; Tuxen, Nina; Flyvbjerg, John

2014-01-01

framework has been developed to enable a systematic and transparent risk assessment and prioritization of contaminant point sources, considering the local, catchment, or regional scales (Danish EPA, 2011, 2012). The framework has been tested in several catchments in Denmark with different challenges...... and needs, and two of these are presented. Based on the lessons learned, the Danish EPA has prepared a handbook to guide the user through the steps in a risk-based prioritization (Danish EPA, 2012). It provides guidance on prioritization both in an administratively defined area such as a Danish Region...... of the results are presented using the case studies as examples. The methodology was developed by a broad industry group including the Danish EPA, the Danish Regions, the Danish Nature Agency, the Technical University of Denmark, and consultants — and the framework has been widely accepted by the professional...

Place prioritization for biodiversity content

Indian Academy of Sciences (India)

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 ...

Neural Signature of Value-Based Sensorimotor Prioritization in Humans.

Science.gov (United States)

Blangero, Annabelle; Kelly, Simon P

2017-11-01

In situations in which impending sensory events demand fast action choices, we must be ready to prioritize higher-value courses of action to avoid missed opportunities. When such a situation first presents itself, stimulus-action contingencies and their relative value must be encoded to establish a value-biased state of preparation for an impending sensorimotor decision. Here, we sought to identify neurophysiological signatures of such processes in the human brain (both female and male). We devised a task requiring fast action choices based on the discrimination of a simple visual cue in which the differently valued sensory alternatives were presented 750-800 ms before as peripheral "targets" that specified the stimulus-action mapping for the upcoming decision. In response to the targets, we identified a discrete, transient, spatially selective signal in the event-related potential (ERP), which scaled with relative value and strongly predicted the degree of behavioral bias in the upcoming decision both across and within subjects. This signal is not compatible with any hitherto known ERP signature of spatial selection and also bears novel distinctions with respect to characterizations of value-sensitive, spatially selective activity found in sensorimotor areas of nonhuman primates. Specifically, a series of follow-up experiments revealed that the signal was reliably invoked regardless of response laterality, response modality, sensory feature, and reward valence. It was absent, however, when the response deadline was relaxed and the strategic need for biasing removed. Therefore, more than passively representing value or salience, the signal appears to play a versatile and active role in adaptive sensorimotor prioritization. SIGNIFICANCE STATEMENT In many situations such as fast-moving sports, we must be ready to act fast in response to sensory events and, in our preparation, prioritize courses of action that lead to greater rewards. Although behavioral effects of

RiskREP: Risk-Based Security Requirements Elicitation and Prioritization (extended version)

NARCIS (Netherlands)

Herrmann, Andrea; Morali, A.

2010-01-01

Today, companies are required to be in control of the security of their IT assets. This is especially challenging in the presence of limited budgets and conflicting requirements. Here, we present Risk-Based Requirements Elicitation and Prioritization (RiskREP), a method for managing IT security

Multi-Attribute Decision-Making Based on Prioritized Aggregation Operator under Hesitant Intuitionistic Fuzzy Linguistic Environment

Directory of Open Access Journals (Sweden)

Peide Liu

2017-11-01

Full Text Available A hesitant intuitionistic fuzzy linguistic set (HIFLS that integrates both qualitative and quantitative evaluations is an extension of the linguistic set, intuitionistic fuzzy set (IFS, hesitant fuzzy set (HFS and hesitant intuitionistic fuzzy set (HIFS. It can describe the qualitative evaluation information given by the decision-makers (DMs and reflect their uncertainty. In this article, we defined some new operational laws and comparative method for HIFLSs. Then, based on these operations, we propose two prioritized aggregation (PA operators for HIFLSs: prioritized weighted averaging operator for HIFLSs (HIFLPWA and prioritized weighted geometric operator for HIFLSs (HIFLPWG. Based on these aggregation operators, an approach for multi-attribute decision-making (MADM is developed under the environment of HIFLSs. Finally, a practical example is given to show the practicality and effectiveness of the developed approach by comparing with the other representative methods.

Weighting of Criteria for Disease Prioritization Using Conjoint Analysis and Based on Health Professional and Student Opinion.

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Nadine Stebler

Full Text Available Disease prioritization exercises have been used by several organizations to inform surveillance and control measures. Though most methodologies for disease prioritization are based on expert opinion, it is becoming more common to include different stakeholders in the prioritization exercise. This study was performed to compare the weighting of disease criteria, and the consequent prioritization of zoonoses, by both health professionals and students in Switzerland using a Conjoint Analysis questionnaire. The health professionals comprised public health and food safety experts, cantonal physicians and cantonal veterinarians, while the student group comprised first-year veterinary and agronomy students. Eight criteria were selected for this prioritization based on expert elicitation and literature review. These criteria, described on a 3-tiered scale, were evaluated through a choice-based Conjoint Analysis questionnaire with 25 choice tasks. Questionnaire results were analyzed to obtain importance scores (for each criterion and mean utility values (for each criterion level, and the latter were then used to rank 16 zoonoses. While the most important criterion for both groups was "Severity of the disease in humans", the second ranked criteria by the health professionals and students were "Economy" and "Treatment in humans", respectively. Regarding the criterion "Control and Prevention", health professionals tended to prioritize a disease when the control and preventive measures were described to be 95% effective, while students prioritized a disease if there were almost no control and preventive measures available. Bovine Spongiform Encephalopathy was the top-ranked disease by both groups. Health professionals and students agreed on the weighting of certain criteria such as "Severity" and "Treatment of disease in humans", but disagreed on others such as "Economy" or "Control and Prevention". Nonetheless, the overall disease ranking lists were similar

Distortion-Based Slice Level Prioritization for Real-Time Video over QoS-Enabled Wireless Networks

Directory of Open Access Journals (Sweden)

Ismail A. Ali

2012-01-01

Full Text Available This paper presents a prioritization scheme based on an analysis of the impact on objective video quality when dropping individual slices from coded video streams. It is shown that giving higher-priority classified packets preference in accessing the wireless media results in considerable quality gain (up to 3 dB in tests over the case when no prioritization is applied. The proposed scheme is demonstrated for an IEEE 802.11e quality-of-service- (QoS- enabled wireless LAN. Though more complex prioritization systems are possible, the proposed scheme is crafted for mobile interactive or user-to-user video services and is simply implemented within the Main or the Baseline profiles of an H.264 codec.

ExpoCast: Exposure Science for Prioritization and Toxicity Testing

Science.gov (United States)

The US EPA is completing the Phase I pilot for a chemical prioritization research program, called ToxCastTM. Here EPA is developing methods for using computational chemistry, high-throughput screening, and toxicogenomic technologies to predict potential toxicity and prioritize l...

A concern-based method to prioritize spill response activities

International Nuclear Information System (INIS)

Lamarche, A.; Bart, H.

2002-01-01

The Shoreline Cleanup Assessment Team (SCAT) of the Emergencies Division of Environment Canada in the Ontario Region developed a computerized method to help rank segments of shoreline according to levels of concern in the event of an oil spill. The original SCAT approach was designed to allow survey teams to acquire information about the state of shoreline spills so that assessments of oilings would be comparable in time and space. The SCAT method, which allows several decision makers to obtain an unbiased evaluation of the oiling situation, has been recognized in both Canada and the United States as a method that ensures the consistency of data gathering and processing for prioritization purposes. The concern-based prioritization system was integrated within the computerized response tools used by the SCAT team using tools such as the Great Lakes Electronic Environmental Sensitivities Atlas (GLEESA), a geographic information system (GIS) of environmental data, and Shore Assess, a GIS based computerized system used to provide support during a response phase of a spill. It was noted that this method is considered to be a practical response tool designed around the principles of performance support and cybernetics to help decision makers set priorities. It is not designed for pre-impact assessment. Instead, it ensures that existing knowledge of the spill characteristics and environmental conditions are used in a consistent and logical method to prioritize contingency plans. The factors used to evaluate concern for oiling, shoreline type and land use were described. Factors for concern assessment of biological organisms include the status of organisms as being either endangered, threatened, vulnerable, special concern, or not at risk. Characteristics of the species, potential effect of the pollutant and potential effect from response activities are other factors for concern. The method evaluates the concern for every category using a simple algorithm which is

Neutrosophy for software requirement prioritization

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Ronald Barriga Dias

2017-09-01

Full Text Available Software engineers are involved in complex decisions that require multiples viewpoints. A specific case is the requirement prioritization process. This process is used to decide which software requirement to develop in certain release from a group of candidate requirements. Criteria involved in this process can involve indeterminacy. In this paper a software requirement prioritization model is develop based SVN numbers. Finally, an illustrative example is presented in order to show the proposed model.

Prioritization of design changes based on PSA

International Nuclear Information System (INIS)

Krajnc, B.; Mavko, B.

1996-01-01

Effective use of Probabilistic Safety Analyses (PSA) in the day to day plant operation is subject of intensive discussions among plant operators and regulators. There are several possible applications in which the PSA can be used, among those also to use the PSA approach for the quantification of influence of different proposed design changes to nuclear safety - influence on public safety - health. NPP Krsko is one of those plants that successfully completed its PSA project, with Level 1 and Level 2 analyses and effective know-how transfer. It also faces a number of regulatory and internally generated requirements for different design changes, mainly due to the fact that the plant is committed to continuous augmentation of nuclear safety. It is considered that the available tools and knowledge should be used and therefore applicable methodology should be developed for effective prioritization of proposed design changes by performing cost-benefit analyses for all major modifications - focusing on their influence on nuclear safety. Based on the above a new method for prioritization of design changes is proposed. The method uses Level 1 results (in the sense of plant damage states and their frequencies) directly as an input for further processing - first decision step to decide whether the proposed modification has or has no influence on nuclear safety. In Level 2 analyses the combination of probabilistic and deterministic approach was adopted. In fact the results of the deterministic analyses of severe accidents are treated in probabilistic manner due to large uncertainty of results. Finally to be able to perform plant specific cost benefit analyses so called partial Level 3 was defined. The proposed methods was preliminary tested and it gave favorable results. (author)

PINTA: a web server for network-based gene prioritization from expression data

DEFF Research Database (Denmark)

Nitsch, Daniela; Tranchevent, Léon-Charles; Goncalves, Joana P.

2011-01-01

PINTA (available at http://www.esat.kuleuven.be/ pinta/; 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 based on the differential expression of their neighborhood in a genome-wide protein–protein interaction...

False memory and importance: can we prioritize encoding without consequence?

Science.gov (United States)

Bui, Dung C; Friedman, Michael C; McDonough, Ian M; Castel, Alan D

2013-10-01

Given the large amount of information that we encounter, we often must prioritize what information we attempt to remember. Although critical for everyday functioning, relatively little research has focused on how people prioritize the encoding of information. Recent research has shown that people can and do selectively remember information assigned with higher, relative to lower, importance. However, the mechanisms underlying this prioritization process and the consequences of these processes are still not well understood. In the present study, we sought to better understand these prioritization processes and whether implementing these processes comes at the cost of memory accuracy, by increasing false memories. We used a modified form of the Deese/Roediger-McDermott (DRM) paradigm, in which participants studied DRM lists, with each list paired with low, medium, or high point values. In Experiment 1, encoding higher values led to more false memories than did encoding lower values, possibly because prioritizing information enhanced relational processing among high-value words. In Experiment 2, disrupting relational processing selectively reduced false memories for high-value words. Finally, in Experiment 3, facilitating relational processing selectively increased false memories for low-value words. These findings suggest that while prioritizing information can enhance true memory, this process concomitantly increases false memories. Furthermore, the mechanism underlying these prioritization processes depends on the ability to successfully engage in relational processing. Thus, how we prioritize the encoding of incoming information can come at a cost in terms of accurate memory.

Risk-based analysis for prioritization and processing in the Los Alamos National Laboratory 94-1 program

International Nuclear Information System (INIS)

Boerigter, S.T.; DeMuth, N.S.; Tietjen, G.

1996-10-01

A previous report, open-quotes Analysis of LANL Options for Processing Plutonium Legacy Materials,close quotes LA-UR-95-4301, summarized the development of a risk-based prioritization methodology for the Los Alamos National Laboratory (LANL) Plutonium Facility at Technical Area-55 (TA-55). The methodology described in that report was developed not only to assist processing personnel in prioritizing the remediation of legacy materials but also to evaluate the risk impacts of schedule modifications and changes. Several key activities were undertaken in the development of that methodology. The most notable was that the risk assessments were based on statistically developed data from sampling containers in the vault and evaluating their condition; the data from the vault sampling programs were used as the basis for risk estimates. Also, the time-dependent behavior of the legacy materials was explicitly modeled and included in the risk analysis. The results indicated that significant reductions in program risk can be achieved by proper prioritization of the materials for processing

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

Science.gov (United States)

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.

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

Science.gov (United States)

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.

A web-based tool to engage stakeholders in informing research planning for future decisions on emerging materials

International Nuclear Information System (INIS)

Powers, Christina M.; Grieger, Khara D.; Hendren, Christine Ogilvie; Meacham, Connie A.; Gurevich, Gerald; Lassiter, Meredith Gooding; Money, Eric S.; Lloyd, Jennifer M.; Beaulieu, Stephen M.

2014-01-01

Prioritizing and assessing risks associated with chemicals, industrial materials, or emerging technologies is a complex problem that benefits from the involvement of multiple stakeholder groups. For example, in the case of engineered nanomaterials (ENMs), scientific uncertainties exist that hamper environmental, health, and safety (EHS) assessments. Therefore, alternative approaches to standard EHS assessment methods have gained increased attention. The objective of this paper is to describe the application of a web-based, interactive decision support tool developed by the U.S. Environmental Protection Agency (U.S. EPA) in a pilot study on ENMs. The piloted tool implements U.S. EPA's comprehensive environmental assessment (CEA) approach to prioritize research gaps. When pursued, such research priorities can result in data that subsequently improve the scientific robustness of risk assessments and inform future risk management decisions. Pilot results suggest that the tool was useful in facilitating multi-stakeholder prioritization of research gaps. Results also provide potential improvements for subsequent applications. The outcomes of future CEAWeb applications with larger stakeholder groups may inform the development of funding opportunities for emerging materials across the scientific community (e.g., National Science Foundation Science to Achieve Results [STAR] grants, National Institutes of Health Requests for Proposals). - Highlights: • A web-based, interactive decision support tool was piloted for emerging materials. • The tool (CEAWeb) was based on an established approach to prioritize research gaps. • CEAWeb facilitates multi-stakeholder prioritization of research gaps. • We provide recommendations for future versions and applications of CEAWeb

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

Science.gov (United States)

The US EPA is completing the Phase I pilot for a chemical prioritization research program, called ToxCast. Here EPA is developing methods for using computational chemistry, high-throughput screening, and toxicogenomic technologies to predict potential toxicity and prioritize limi...

A web-based tool to engage stakeholders in informing research planning for future decisions on emerging materials

Energy Technology Data Exchange (ETDEWEB)

Powers, Christina M., E-mail: powers.christina@epa.gov [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Grieger, Khara D., E-mail: kgrieger@rti.org [RTI International, 3040 Cornwallis Rd., Research Triangle Park, NC 27709 (United States); Hendren, Christine Ogilvie, E-mail: chendren@duke.edu [Center for the Environmental Implications of NanoTechnology, Duke University, Durham, NC 27708 (United States); Meacham, Connie A., E-mail: meacham.connie@epa.gov [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Gurevich, Gerald, E-mail: gurevich.gerald@epa.gov [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Lassiter, Meredith Gooding, E-mail: lassiter.meredith@epa.gov [National Center for Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711 (United States); Money, Eric S., E-mail: emoney@rti.org [RTI International, 3040 Cornwallis Rd., Research Triangle Park, NC 27709 (United States); Lloyd, Jennifer M., E-mail: jml@rti.org [RTI International, 3040 Cornwallis Rd., Research Triangle Park, NC 27709 (United States); Beaulieu, Stephen M., E-mail: steveb@rti.org [RTI International, 3040 Cornwallis Rd., Research Triangle Park, NC 27709 (United States)

2014-02-01

Prioritizing and assessing risks associated with chemicals, industrial materials, or emerging technologies is a complex problem that benefits from the involvement of multiple stakeholder groups. For example, in the case of engineered nanomaterials (ENMs), scientific uncertainties exist that hamper environmental, health, and safety (EHS) assessments. Therefore, alternative approaches to standard EHS assessment methods have gained increased attention. The objective of this paper is to describe the application of a web-based, interactive decision support tool developed by the U.S. Environmental Protection Agency (U.S. EPA) in a pilot study on ENMs. The piloted tool implements U.S. EPA's comprehensive environmental assessment (CEA) approach to prioritize research gaps. When pursued, such research priorities can result in data that subsequently improve the scientific robustness of risk assessments and inform future risk management decisions. Pilot results suggest that the tool was useful in facilitating multi-stakeholder prioritization of research gaps. Results also provide potential improvements for subsequent applications. The outcomes of future CEAWeb applications with larger stakeholder groups may inform the development of funding opportunities for emerging materials across the scientific community (e.g., National Science Foundation Science to Achieve Results [STAR] grants, National Institutes of Health Requests for Proposals). - Highlights: • A web-based, interactive decision support tool was piloted for emerging materials. • The tool (CEAWeb) was based on an established approach to prioritize research gaps. • CEAWeb facilitates multi-stakeholder prioritization of research gaps. • We provide recommendations for future versions and applications of CEAWeb.

Efficient population-scale variant analysis and prioritization with VAPr.

Science.gov (United States)

Birmingham, Amanda; Mark, Adam M; Mazzaferro, Carlo; Xu, Guorong; Fisch, Kathleen M

2018-04-06

With the growing availability of population-scale whole-exome and whole-genome sequencing, demand for reproducible, scalable variant analysis has spread within genomic research communities. To address this need, we introduce the Python package VAPr (Variant Analysis and Prioritization). VAPr leverages existing annotation tools ANNOVAR and MyVariant.info with MongoDB-based flexible storage and filtering functionality. It offers biologists and bioinformatics generalists easy-to-use and scalable analysis and prioritization of genomic variants from large cohort studies. VAPr is developed in Python and is available for free use and extension under the MIT License. An install package is available on PyPi at https://pypi.python.org/pypi/VAPr, while source code and extensive documentation are on GitHub at https://github.com/ucsd-ccbb/VAPr. kfisch@ucsd.edu.

Risk-based prioritization of pharmaceuticals in the natural environment in Iraq.

Science.gov (United States)

Al-Khazrajy, Omar S A; Boxall, Alistair B A

2016-08-01

Numerous studies have demonstrated the occurrence of pharmaceuticals in the natural environment, raising concerns about their impact on non-target organisms or human health. One region where little is known about the exposure and effects of pharmaceuticals in the environment is Iraq. Due to the high number of pharmaceuticals used by the public health sector in Iraq (hospitals and care centres) and distributed over the counter, there is a need for a systematic approach for identifying substances that should be monitored in the environment in Iraq and assessed in terms of environmental risk. In this study, a risk-based prioritization approach was applied to 99 of the most dispensed pharmaceuticals in three Iraqi cities, Baghdad, Mosul and Basrah. Initially, information on the amounts of pharmaceuticals used in Iraq was obtained. The top used medicines were found to be paracetamol, amoxicillin and metformin with total annual consumption exceeding 1000 tonnes per year. Predicted environmental concentrations (PECs) and predicted no-effect concentrations (PNECs), derived from ecotoxicological end-points and effects related to the therapeutic mode of action, were then used to rank the pharmaceuticals in terms of risks to different environmental compartments. Active pharmaceutical ingredients used as antibiotics, antidepressants and analgesics were identified as the highest priority in surface water, sediment and the terrestrial environment. Antibiotics were also prioritized according to their susceptibility to kill or inhibit the growth of bacteria or to accelerate the evolution and dissemination of antibiotic-resistant genes in water. Future work will focus on understanding the occurrence, fate and effects of some of highly prioritized substances in the environment.

Test case prioritization using Cuscuta search

Directory of Open Access Journals (Sweden)

Mukesh Mann

2014-12-01

Full Text Available Most companies are under heavy time and resource constraints when it comes to testing a software system. Test prioritization technique(s allows the most useful tests to be executed first, exposing faults earlier in the testing process. Thus makes software testing more efficient and cost effective by covering maximum faults in minimum time. But test case prioritization is not an easy and straightforward process and it requires huge efforts and time. Number of approaches is available with their proclaimed advantages and limitations, but accessibility of any one of them is a subject dependent. In this paper, artificial Cuscuta search algorithm (CSA inspired by real Cuscuta parasitism is used to solve time constraint prioritization problem. We have applied CSA for prioritizing test cases in an order of maximum fault coverage with minimum test suite execution and compare its effectiveness with different prioritization ordering. Taking into account the experimental results, we conclude that (i The average percentage of faults detection (APFD is 82.5% using our proposed CSA ordering which is equal to the APFD of optimal and ant colony based ordering whereas No ordering, Random ordering and Reverse ordering has 76.25%, 75%, 68.75% of APFD respectively.

The development and application of a risk-based prioritization model for the Oak Ridge Environmental Restoration Program

International Nuclear Information System (INIS)

Dail, J.L.; White, R.K.

1995-01-01

The Oak Ridge Environmental Restoration (ER) Program developed and implemented the Environmental Restoration Benefit Assessment Matrix (ERBAM) early in 1994 to provide a simple, efficient process for prioritizing and justifying fiscal budget decisions for a diverse set of activities. The decision to develop a methodology for prioritizing sites was necessitated by the large number of buildings and areas managed by the DOE Oak Ridge Field Office and the finite resources available to address these areas. The ERBAM was based on the Integrated Resource Management System prioritization methodology historically used by the United States Department of Energy (DOE) and Lockheed Martin Energy Systems, Inc., to rank compliance and operational activities. To develop the matrix, ER Program management, working with federal and state regulators, agreed on impact criteria that balance the major objectives within the ER Program: protection of public health, protection of the environment, protection of on-site workers, consideration of stakeholder/community preference, achievement of ER mission, and optimization of cost efficiency. Lessons learned from the initial application of the matrix were used to make refinements and improvements in the methodology. A standard set of assumptions (both overall and categoric) and a prioritization board, consisting of top level DOE and Lockheed Martin Energy Systems, Inc., managers along with federal and state regulatory representatives, were established to facilitate consistent application. Current and future improvements include a method to incorporate existing quantitative risk data and facilitate increased efficiency in applying baseline cost data and approved funding levels to the prioritized output. Application of the prioritization methodology yields a prioritized list of all work activities within the programs' work breakdown structure

Decision making in prioritization of required operational capabilities

Science.gov (United States)

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.

Which health technologies should be funded? A prioritization framework based explicitly on value for money

Directory of Open Access Journals (Sweden)

Golan Ofra

2012-11-01

Full Text Available Abstract Background Deciding which health technologies to fund involves confronting some of the most difficult choices in medicine. As for other countries, the Israeli health system is faced each year with having to make these difficult decisions. The Public National Advisory Committee, known as ‘the Basket Committee’, selects new technologies for the basic list of health care that all Israelis are entitled to access, known as the ‘health basket’. We introduce a framework for health technology prioritization based explicitly on value for money that enables the main variables considered by decision-makers to be explicitly included. Although the framework’s exposition is in terms of the Basket Committee selecting new technologies for Israel’s health basket, we believe that the framework would also work well for other countries. Methods Our proposed prioritization framework involves comparing four main variables for each technology: 1. Incremental benefits, including ‘equity benefits’, to Israel’s population; 2. Incremental total cost to Israel’s health system; 3. Quality of evidence; and 4. Any additional ‘X-factors’ not elsewhere included, such as strategic or legal factors, etc. Applying methodology from multi-criteria decision analysis, the multiple dimensions comprising the first variable are aggregated via a points system. Results The four variables are combined for each technology and compared across the technologies in the ‘Value for Money (VfM Chart’. The VfM Chart can be used to identify technologies that are good value for money, and, given a budget constraint, to select technologies that should be funded. This is demonstrated using 18 illustrative technologies. Conclusions The VfM Chart is an intuitively appealing decision-support tool for helping decision-makers to focus on the inherent tradeoffs involved in health technology prioritization. Such deliberations can be performed in a systematic and transparent

Self-Prioritization Beyond Perception.

Science.gov (United States)

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.

Disease candidate gene identification and prioritization using protein interaction networks

Directory of Open Access Journals (Sweden)

Aronow Bruce J

2009-02-01

Full Text Available Abstract Background Although most of the current disease candidate gene identification and prioritization methods depend on functional annotations, the coverage of the gene functional annotations is a limiting factor. In the current study, we describe a candidate gene prioritization method that is entirely based on protein-protein interaction network (PPIN analyses. Results For the first time, extended versions of the PageRank and HITS algorithms, and the K-Step Markov method are applied to prioritize disease candidate genes in a training-test schema. Using a list of known disease-related genes from our earlier study as a training set ("seeds", and the rest of the known genes as a test list, we perform large-scale cross validation to rank the candidate genes and also evaluate and compare the performance of our approach. Under appropriate settings – for example, a back probability of 0.3 for PageRank with Priors and HITS with Priors, and step size 6 for K-Step Markov method – the three methods achieved a comparable AUC value, suggesting a similar performance. Conclusion Even though network-based methods are generally not as effective as integrated functional annotation-based methods for disease candidate gene prioritization, in a one-to-one comparison, PPIN-based candidate gene prioritization performs better than all other gene features or annotations. Additionally, we demonstrate that methods used for studying both social and Web networks can be successfully used for disease candidate gene prioritization.

Prioritizing Improvable Human Capital Processes in Esfahan Oil Refinery Company Based on PCF and by IPA approach

Directory of Open Access Journals (Sweden)

Reza Behmanesh

2012-06-01

Full Text Available Development and management of human capital is an important task because it affects the performance of organization and hence the process improvements. However, it is necessary to deploy performance evaluation to prioritize improvable processes due to limited human resource, time and equipments. The objective of this research is to evaluate performance of the developed and managed human capital based upon the predetermined key performance indicators of American Productivity and Quality Center (APQC and to prioritize processes by Importance-Performance Analysis (IPA approach. As a case study, Esfahan Oil Refining Company (EORC has been studied. In order to analyze hypotheses, the state of human resource has been determined through data extracting among the best practice industries, and hence the strengths and weaknesses of the EORC have been identified. Finally, fuzzy numbers have been assigned to the Key Performance Indicators (KPIs and then the processes have been measured using the average value of its related KPIs. Consequently, the importance of the developed and managed human capital processes could be determined using the five points Likert spectrum. The reliability of the questionnaire has been determined by the Cronbach's Alpha of higher than 0.7, which is satisfactory. Findings imply that 10 out of 35 HCM processes in needs of improvement are prioritized as managing employee performance managing employee relations managing employee orientation and deployment developing and managing employee metrics developing and training employees managing employee communication managing human resource information systems (HRIS managing and maintaining employee data managing employee inquiry process and developing and managing time and attendance.

Chronic obstructive pulmonary disease candidate gene prioritization based on metabolic networks and functional information.

Directory of Open Access Journals (Sweden)

Xinyan Wang

Full Text Available Chronic obstructive pulmonary disease (COPD is a multi-factor disease, in which metabolic disturbances played important roles. In this paper, functional information was integrated into a COPD-related metabolic network to assess similarity between genes. Then a gene prioritization method was applied to the COPD-related metabolic network to prioritize COPD candidate genes. The gene prioritization method was superior to ToppGene and ToppNet in both literature validation and functional enrichment analysis. Top-ranked genes prioritized from the metabolic perspective with functional information could promote the better understanding about the molecular mechanism of this disease. Top 100 genes might be potential markers for diagnostic and effective therapies.

Fuzzy-based Prioritization of Health, Safety, and Environmental Risks: The Case of a Large Gas Refinery

Directory of Open Access Journals (Sweden)

Auob Mirsaeidi

2017-01-01

Full Text Available The main objective of this study was to develop a fuzzy–based framework for the prioritization of health, safety and environment related risks posed against employees, working conditions, and process equipment in large gas refineries. The First Refinery at Pars Special Economic Energy Zone in South of Iran was taken as a case study. For this purpose, health, safety and environment related risks were determined based on the three criteria of impact severity, occurrence probability, and detect-ability using a questionnaire of 33 identified failures. The values obtained were processed by a so-called ‘contribution coefficient’. The results were then subjected to fuzzification and fuzzy rules were defined to calculate the risk level indices as the model outputs, which was then employed to facilitate the management decision-making process by prioritizing the management options. The prioritization values were then classified in six categories in the order of risk severity. Results revealed that failure in a combustion furnace had the highest rank while failure in the slug catcher ranked the lowest among the risk sources. It was also found that about 0.4% of the identified risks prioritized as “intolerable”, 79% as “major”, 20% as “tolerable”, and 0.7% as “minor”. Thus, most of the risks (more than 79% associated with the refinery has the potential of significant risks. The results indicated that the risk of the pollutant emissions from the combustion furnaces is the highest. Exposures to harmful physical, chemical, psychological, and ergonomic substances are the other risks, respectively.

Developing optimized prioritizing road maintenance

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Ewadh Hussein Ali

2018-01-01

Full Text Available Increased demand for efficient maintenance of the existing roadway system needs optimal usage of the allocated funds. The paper demonstrates optimized methods for prioritizing maintenance implementation projects. A selected zone of roadway system in Kerbala city represents the study area to demonstrate the application of the developed prioritization process. Paver system PAVER integrated with GIS is used to estimate and display the pavement condition index PCI, thereby to establish a priority of maintenance. In addition to simple ranking method by PCI produced by the output of PAVER, the paper introduces PCI measure for each section of roadway. The paper introduces ranking by multiple measures investigated through expert knowledge about measures that affect prioritization and their irrespective weights due to a predesigned questionnaire. The maintenance priority index (MPI is related to cost of suitable proposed maintenance, easiness of proposed maintenance, average daily traffic and functional classification of the roadway in addition to PCI. Further, incremental benefit-cost analysis ranking provide an optimized process due to benefit and cost of maintenance. The paper introduces efficient display of layout and ranking for the selected zone of roadway system based on MPI index and incremental BCR method. Although the two developed methods introduce different layout display for priority, statistical test shows that no significant difference between ranking of all methods of prioritization.

Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes

KAUST Repository

AlShahrani, Mona; Hoehndorf, Robert

2018-01-01

In the past years, several methods have been developed to incorporate information about phenotypes into computational disease gene prioritization methods. These methods commonly compute the similarity between a disease's (or patient's) phenotypes and a database of gene-to-phenotype associations to find the phenotypically most similar match. A key limitation of these methods is their reliance on knowledge about phenotypes associated with particular genes which is highly incomplete in humans as well as in many model organisms such as the mouse. Results: We developed SmuDGE, a method that uses feature learning to generate vector-based representations of phenotypes associated with an entity. SmuDGE can be used as a trainable semantic similarity measure to compare two sets of phenotypes (such as between a disease and gene, or a disease and patient). More importantly, SmuDGE can generate phenotype representations for entities that are only indirectly associated with phenotypes through an interaction network; for this purpose, SmuDGE exploits background knowledge in interaction networks comprising of multiple types of interactions. We demonstrate that SmuDGE can match or outperform semantic similarity in phenotype-based disease gene prioritization, and furthermore significantly extends the coverage of phenotype-based methods to all genes in a connected interaction network.

Semantic Disease Gene Embeddings (SmuDGE): phenotype-based disease gene prioritization without phenotypes

KAUST Repository

Alshahrani, Mona

2018-04-30

In the past years, several methods have been developed to incorporate information about phenotypes into computational disease gene prioritization methods. These methods commonly compute the similarity between a disease\\'s (or patient\\'s) phenotypes and a database of gene-to-phenotype associations to find the phenotypically most similar match. A key limitation of these methods is their reliance on knowledge about phenotypes associated with particular genes which is highly incomplete in humans as well as in many model organisms such as the mouse. Results: We developed SmuDGE, a method that uses feature learning to generate vector-based representations of phenotypes associated with an entity. SmuDGE can be used as a trainable semantic similarity measure to compare two sets of phenotypes (such as between a disease and gene, or a disease and patient). More importantly, SmuDGE can generate phenotype representations for entities that are only indirectly associated with phenotypes through an interaction network; for this purpose, SmuDGE exploits background knowledge in interaction networks comprising of multiple types of interactions. We demonstrate that SmuDGE can match or outperform semantic similarity in phenotype-based disease gene prioritization, and furthermore significantly extends the coverage of phenotype-based methods to all genes in a connected interaction network.

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

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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.

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

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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

Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network

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Chen Xin

2012-10-01

Full Text Available Abstract Background The identification of genes that predict in vitro cellular chemosensitivity of cancer cells is of great importance. Chemosensitivity related genes (CRGs have been widely utilized to guide clinical and cancer chemotherapy decisions. In addition, CRGs potentially share functional characteristics and network features in protein interaction networks (PPIN. Methods In this study, we proposed a method to identify CRGs based on Gene Ontology (GO and PPIN. Firstly, we documented 150 pairs of drug-CCRG (curated chemosensitivity related gene from 492 published papers. Secondly, we characterized CCRGs from the perspective of GO and PPIN. Thirdly, we prioritized CRGs based on CCRGs’ GO and network characteristics. Lastly, we evaluated the performance of the proposed method. Results We found that CCRG enriched GO terms were most often related to chemosensitivity and exhibited higher similarity scores compared to randomly selected genes. Moreover, CCRGs played key roles in maintaining the connectivity and controlling the information flow of PPINs. We then prioritized CRGs using CCRG enriched GO terms and CCRG network characteristics in order to obtain a database of predicted drug-CRGs that included 53 CRGs, 32 of which have been reported to affect susceptibility to drugs. Our proposed method identifies a greater number of drug-CCRGs, and drug-CCRGs are much more significantly enriched in predicted drug-CRGs, compared to a method based on the correlation of gene expression and drug activity. The mean area under ROC curve (AUC for our method is 65.2%, whereas that for the traditional method is 55.2%. Conclusions Our method not only identifies CRGs with expression patterns strongly correlated with drug activity, but also identifies CRGs in which expression is weakly correlated with drug activity. This study provides the framework for the identification of signatures that predict in vitro cellular chemosensitivity and offers a valuable

SHEDS-HT: An Integrated Probabilistic Exposure Model for Prioritizing Exposures to Chemicals with Near-Field and Dietary Sources

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United States Environmental Protection Agency (USEPA) researchers are developing a strategy for highthroughput (HT) exposure-based prioritization of chemicals under the ExpoCast program. These novel modeling approaches for evaluating chemicals based on their potential for biologi...

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

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

2014-01-01

Objective 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. Materials and methods 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. Results 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. Conclusions Network integration is necessary to boost the performances of gene prioritization methods. Moreover the methods based on kernelized score functions can further

CONSIDERATIONS ON THE METHODOLOGY FOR IDENTIFYING AND PRIORITIZING PUBLIC INVESTMENT PROJECTS IN ROMANIA

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Marilena BOGHEANU

2012-01-01

Full Text Available The optimization of the investment project pipeline of public administration is a key issue for member states, including Romania, in the current European Union policy. Solving this problem depends largely on the establishment of an appropriate methodological framework for identifying and prioritizing projects and development programs. Based on the new requirements imposed by the European Commission for the next financial cycle 2014-2020, in this article we propose solutions for improving the methodological framework by establishing general and specific criteria for evaluating projects, especially in the ex-ante stage.Our research is based on critical analysis of the current situation, including sample survey. The results obtained were materialized in an improved methodology for selecting and prioritizing projects that can contribute to a stable and uniform mechanism for planning at local level.

Consequences for diversity when prioritizing animals for conservation with pedigree or genomic information

NARCIS (Netherlands)

Engelsma, K.A.; Veerkamp, R.F.; Calus, M.P.L.; Windig, J.J.

2011-01-01

Up to now, prioritization of animals for conservation has been mainly based on pedigree information; however, genomic information may improve prioritization. In this study, we used two Holstein populations to investigate the consequences for genetic diversity when animals are prioritized with

Prioritizing lean management practices in public and private hospitals.

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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.

Global Prioritization of Disease Candidate Metabolites Based on a Multi-omics Composite Network

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Yao, Qianlan; Xu, Yanjun; Yang, Haixiu; Shang, Desi; Zhang, Chunlong; Zhang, Yunpeng; Sun, Zeguo; Shi, Xinrui; Feng, Li; Han, Junwei; Su, Fei; Li, Chunquan; Li, Xia

2015-01-01

The identification of disease-related metabolites is important for a better understanding of metabolite pathological processes in order to improve human medicine. Metabolites, which are the terminal products of cellular regulatory process, can be affected by multi-omic processes. In this work, we propose a powerful method, MetPriCNet, to predict and prioritize disease candidate metabolites based on integrated multi-omics information. MetPriCNet prioritized candidate metabolites based on their global distance similarity with seed nodes in a composite network, which integrated multi-omics information from the genome, phenome, metabolome and interactome. After performing cross-validation on 87 phenotypes with a total of 602 metabolites, MetPriCNet achieved a high AUC value of up to 0.918. We also assessed the performance of MetPriCNet on 18 disease classes and found that 4 disease classes achieved an AUC value over 0.95. Notably, MetPriCNet can also predict disease metabolites without known disease metabolite knowledge. Some new high-risk metabolites of breast cancer were predicted, although there is a lack of known disease metabolite information. A predicted disease metabolic landscape was constructed and analyzed based on the results of MetPriCNet for 87 phenotypes to help us understand the genetic and metabolic mechanism of disease from a global view. PMID:26598063

Prioritizing Positivity: An Effective Approach to Pursuing Happiness?

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Catalino, Lahnna I.; Algoe, Sara B.; Fredrickson, Barbara L.

2017-01-01

A decade of research reveals the benefits of positive emotions for mental and physical health; however, recent empirical work suggests the explicit pursuit of happiness may backfire. The present study hypothesized that the pursuit of happiness is not inherently self-defeating; in particular, individuals who seek positivity, as exemplified by how they make decisions about how to organize their day-to-day lives, may be happier. This individual difference is labeled prioritizing positivity. In a community sample of young to older adults (N = 233), prioritizing positivity predicted a host of well-being outcomes (positive emotions, depressive symptomology). In addition, people high in prioritizing positivity have greater resources, and these links are explained by more frequent experiences of positive emotions. In sum, the present study suggests that seeking happiness, although a delicate art, may be a worthwhile pursuit. PMID:25401290

Toxicological and ecotoxicological risk-based prioritization of pharmaceuticals in the natural environment.

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Guo, Jiahua; Sinclair, Chris J; Selby, Katherine; Boxall, Alistair B A

2016-06-01

Approximately 1500 active pharmaceutical ingredients are currently in use; however, the environmental occurrence and impacts of only a small proportion of these have been investigated. Recognizing that it would be impractical to monitor and assess all pharmaceuticals that are in use, several previous studies have proposed the use of prioritization approaches to identify substances of most concern so that resources can be focused on these. All of these previous approaches suffer from limitations. In the present study, the authors draw on experience from previous prioritization exercises and present a holistic approach for prioritizing pharmaceuticals in the environment in terms of risks to aquatic and soil organisms, avian and mammalian wildlife, and humans. The approach considers both apical ecotoxicological endpoints as well as potential nonapical effects related to the therapeutic mode of action. Application of the approach is illustrated for 146 active pharmaceuticals that are used either in the community or in hospital settings in the United Kingdom. Using the approach, 16 compounds were identified as a potential priority. These substances include compounds belonging to the antibiotic, antidepressant, anti-inflammatory, antidiabetic, antiobesity, and estrogen classes as well as associated metabolites. In the future, the prioritization approach should be applied more broadly around the different regions of the world. Environ Toxicol Chem 2016;35:1550-1559. © 2016 SETAC. © 2016 SETAC.

A network-based approach to prioritize results from genome-wide association studies.

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Nirmala Akula

Full Text Available Genome-wide association studies (GWAS are a valuable approach to understanding the genetic basis of complex traits. One of the challenges of GWAS is the translation of genetic association results into biological hypotheses suitable for further investigation in the laboratory. To address this challenge, we introduce Network Interface Miner for Multigenic Interactions (NIMMI, a network-based method that combines GWAS data with human protein-protein interaction data (PPI. NIMMI builds biological networks weighted by connectivity, which is estimated by use of a modification of the Google PageRank algorithm. These weights are then combined with genetic association p-values derived from GWAS, producing what we call 'trait prioritized sub-networks.' As a proof of principle, NIMMI was tested on three GWAS datasets previously analyzed for height, a classical polygenic trait. Despite differences in sample size and ancestry, NIMMI captured 95% of the known height associated genes within the top 20% of ranked sub-networks, far better than what could be achieved by a single-locus approach. The top 2% of NIMMI height-prioritized sub-networks were significantly enriched for genes involved in transcription, signal transduction, transport, and gene expression, as well as nucleic acid, phosphate, protein, and zinc metabolism. All of these sub-networks were ranked near the top across all three height GWAS datasets we tested. We also tested NIMMI on a categorical phenotype, Crohn's disease. NIMMI prioritized sub-networks involved in B- and T-cell receptor, chemokine, interleukin, and other pathways consistent with the known autoimmune nature of Crohn's disease. NIMMI is a simple, user-friendly, open-source software tool that efficiently combines genetic association data with biological networks, translating GWAS findings into biological hypotheses.

A Network-Based Approach to Prioritize Results from Genome-Wide Association Studies

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Akula, Nirmala; Baranova, Ancha; Seto, Donald; Solka, Jeffrey; Nalls, Michael A.; Singleton, Andrew; Ferrucci, Luigi; Tanaka, Toshiko; Bandinelli, Stefania; Cho, Yoon Shin; Kim, Young Jin; Lee, Jong-Young; Han, Bok-Ghee; McMahon, Francis J.

2011-01-01

Genome-wide association studies (GWAS) are a valuable approach to understanding the genetic basis of complex traits. One of the challenges of GWAS is the translation of genetic association results into biological hypotheses suitable for further investigation in the laboratory. To address this challenge, we introduce Network Interface Miner for Multigenic Interactions (NIMMI), a network-based method that combines GWAS data with human protein-protein interaction data (PPI). NIMMI builds biological networks weighted by connectivity, which is estimated by use of a modification of the Google PageRank algorithm. These weights are then combined with genetic association p-values derived from GWAS, producing what we call ‘trait prioritized sub-networks.’ As a proof of principle, NIMMI was tested on three GWAS datasets previously analyzed for height, a classical polygenic trait. Despite differences in sample size and ancestry, NIMMI captured 95% of the known height associated genes within the top 20% of ranked sub-networks, far better than what could be achieved by a single-locus approach. The top 2% of NIMMI height-prioritized sub-networks were significantly enriched for genes involved in transcription, signal transduction, transport, and gene expression, as well as nucleic acid, phosphate, protein, and zinc metabolism. All of these sub-networks were ranked near the top across all three height GWAS datasets we tested. We also tested NIMMI on a categorical phenotype, Crohn’s disease. NIMMI prioritized sub-networks involved in B- and T-cell receptor, chemokine, interleukin, and other pathways consistent with the known autoimmune nature of Crohn’s disease. NIMMI is a simple, user-friendly, open-source software tool that efficiently combines genetic association data with biological networks, translating GWAS findings into biological hypotheses. PMID:21915301

Prioritizing Candidate Disease Metabolites Based on Global Functional Relationships between Metabolites in the Context of Metabolic Pathways

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Yang, Haixiu; Xu, Yanjun; Han, Junwei; Li, Jing; Su, Fei; Zhang, Yunpeng; Zhang, Chunlong; Li, Dongguo; Li, Xia

2014-01-01

Identification of key metabolites for complex diseases is a challenging task in today's medicine and biology. A special disease is usually caused by the alteration of a series of functional related metabolites having a global influence on the metabolic network. Moreover, the metabolites in the same metabolic pathway are often associated with the same or similar disease. Based on these functional relationships between metabolites in the context of metabolic pathways, we here presented a pathway-based random walk method called PROFANCY for prioritization of candidate disease metabolites. Our strategy not only takes advantage of the global functional relationships between metabolites but also sufficiently exploits the functionally modular nature of metabolic networks. Our approach proved successful in prioritizing known metabolites for 71 diseases with an AUC value of 0.895. We also assessed the performance of PROFANCY on 16 disease classes and found that 4 classes achieved an AUC value over 0.95. To investigate the robustness of the PROFANCY, we repeated all the analyses in two metabolic networks and obtained similar results. Then we applied our approach to Alzheimer's disease (AD) and found that a top ranked candidate was potentially related to AD but had not been reported previously. Furthermore, our method was applicable to prioritize the metabolites from metabolomic profiles of prostate cancer. The PROFANCY could identify prostate cancer related-metabolites that are supported by literatures but not considered to be significantly differential by traditional differential analysis. We also developed a freely accessible web-based and R-based tool at http://bioinfo.hrbmu.edu.cn/PROFANCY. PMID:25153931

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

Science.gov (United States)

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

The Promise and Pitfalls of Using Crowdsourcing in Research Prioritization for Back Pain: Cross-Sectional Surveys.

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Bartek, Matthew A; Truitt, Anjali R; Widmer-Rodriguez, Sierra; Tuia, Jordan; Bauer, Zoya A; Comstock, Bryan A; Edwards, Todd C; Lawrence, Sarah O; Monsell, Sarah E; Patrick, Donald L; Jarvik, Jeffrey G; Lavallee, Danielle C

2017-10-06

The involvement of patients in research better aligns evidence generation to the gaps that patients themselves face when making decisions about health care. However, obtaining patients' perspectives is challenging. Amazon's Mechanical Turk (MTurk) has gained popularity over the past decade as a crowdsourcing platform to reach large numbers of individuals to perform tasks for a small reward for the respondent, at small cost to the investigator. The appropriateness of such crowdsourcing methods in medical research has yet to be clarified. The goals of this study were to (1) understand how those on MTurk who screen positive for back pain prioritize research topics compared with those who screen negative for back pain, and (2) determine the qualitative differences in open-ended comments between groups. We conducted cross-sectional surveys on MTurk to assess participants' back pain and allow them to prioritize research topics. We paid respondents US $0.10 to complete the 24-point Roland Morris Disability Questionnaire (RMDQ) to categorize participants as those "with back pain" and those "without back pain," then offered both those with (RMDQ score ≥7) and those without back pain (RMDQ Crowdsourcing platforms such as MTurk support efforts to efficiently reach large groups of individuals to obtain input on research activities. In the context of back pain, a prevalent and easily understood condition, the rank list of those with back pain was highly correlated with that of those without back pain. However, subtle differences in the content and quality of free-text comments suggest supplemental efforts may be needed to augment the reach of crowdsourcing in obtaining perspectives from patients, especially from specific populations. ©Matthew A Bartek, Anjali R Truitt, Sierra Widmer-Rodriguez, Jordan Tuia, Zoya A Bauer, Bryan A Comstock, Todd C Edwards, Sarah O Lawrence, Sarah E Monsell, Donald L Patrick, Jeffrey G Jarvik, Danielle C Lavallee. Originally published in the

Scientists' Prioritization of Communication Objectives for Public Engagement.

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Anthony Dudo

Full Text Available 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.

Scientists’ Prioritization of Communication Objectives for Public Engagement

Science.gov (United States)

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

Data mart construction based on semantic annotation of scientific articles: A case study for the prioritization of drug targets.

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Teixeira, Marlon Amaro Coelho; Belloze, Kele Teixeira; Cavalcanti, Maria Cláudia; Silva-Junior, Floriano P

2018-04-01

Semantic text annotation enables the association of semantic information (ontology concepts) to text expressions (terms), which are readable by software agents. In the scientific scenario, this is particularly useful because it reveals a lot of scientific discoveries that are hidden within academic articles. The Biomedical area has more than 300 ontologies, most of them composed of over 500 concepts. These ontologies can be used to annotate scientific papers and thus, facilitate data extraction. However, in the context of a scientific research, a simple keyword-based query using the interface of a digital scientific texts library can return more than a thousand hits. The analysis of such a large set of texts, annotated with such numerous and large ontologies, is not an easy task. Therefore, the main objective of this work is to provide a method that could facilitate this task. This work describes a method called Text and Ontology ETL (TOETL), to build an analytical view over such texts. First, a corpus of selected papers is semantically annotated using distinct ontologies. Then, the annotation data is extracted, organized and aggregated into the dimensional schema of a data mart. Besides the TOETL method, this work illustrates its application through the development of the TaP DM (Target Prioritization data mart). This data mart has focus on the research of gene essentiality, a key concept to be considered when searching for genes showing potential as anti-infective drug targets. This work reveals that the proposed approach is a relevant tool to support decision making in the prioritization of new drug targets, being more efficient than the keyword-based traditional tools. Copyright © 2018 Elsevier B.V. All rights reserved.

Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential.

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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.

Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential

Science.gov (United States)

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

IMRT treatment planning based on prioritizing prescription goals

International Nuclear Information System (INIS)

Wilkens, Jan J; Alaly, James R; Zakarian, Konstantin; Thorstad, Wade L; Deasy, Joseph O

2007-01-01

Determining the 'best' optimization parameters in IMRT planning is typically a time-consuming trial-and-error process with no unambiguous termination point. Recently we and others proposed a goal-programming approach which better captures the desired prioritization of dosimetric goals. Here, individual prescription goals are addressed stepwise in their order of priority. In the first step, only the highest order goals are considered (target coverage and dose-limiting normal structures). In subsequent steps, the achievements of the previous steps are turned into hard constraints and lower priority goals are optimized, in turn, subject to higher priority constraints. So-called 'slip' factors were introduced to allow for slight, clinically acceptable violations of the constraints. Focusing on head and neck cases, we present several examples for this planning technique. The main advantages of the new optimization method are (i) its ability to generate plans that meet the clinical goals, as well as possible, without tuning any weighting factors or dose-volume constraints, and (ii) the ability to conveniently include more terms such as fluence map smoothness. Lower level goals can be optimized to the achievable limit without compromising higher order goals. The prioritized prescription-goal planning method allows for a more intuitive and human-time-efficient way of dealing with conflicting goals compared to the conventional trial-and-error method of varying weighting factors and dose-volume constraints

An Approach for Integrating the Prioritization of Functional and Nonfunctional Requirements

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Mohammad Dabbagh

2014-01-01

Full Text Available 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.

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

Science.gov (United States)

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.

Use of Monte Carlo analysis in a risk-based prioritization of toxic constituents in house dust.

Science.gov (United States)

Ginsberg, Gary L; Belleggia, Giuliana

2017-12-01

Many chemicals have been detected in house dust with exposures to the general public and particularly young children of potential health concern. House dust is also an indicator of chemicals present in consumer products and the built environment that may constitute a health risk. The current analysis compiles a database of recent house dust concentrations from the United States and Canada, focusing upon semi-volatile constituents. Seven constituents from the phthalate and flame retardant categories were selected for risk-based screening and prioritization: diethylhexyl phthalate (DEHP), butyl benzyl phthalate (BBzP), diisononyl phthalate (DINP), a pentabrominated diphenyl ether congener (BDE-99), hexabromocyclododecane (HBCDD), tris(1,3-dichloro-2-propyl) phosphate (TDCIPP) and tris(2-chloroethyl) phosphate (TCEP). Monte Carlo analysis was used to represent the variability in house dust concentration as well as the uncertainty in the toxicology database in the estimation of children's exposure and risk. Constituents were prioritized based upon the percentage of the distribution of risk results for cancer and non-cancer endpoints that exceeded a hazard quotient (HQ) of 1. The greatest percent HQ exceedances were for DEHP (cancer and non-cancer), BDE-99 (non-cancer) and TDCIPP (cancer). Current uses and the potential for reducing levels of these constituents in house dust are discussed. Exposure and risk for other phthalates and flame retardants in house dust may increase if they are used to substitute for these prioritized constituents. Therefore, alternative assessment and green chemistry solutions are important elements in decreasing children's exposure to chemicals of concern in the indoor environment. Copyright © 2017 Elsevier Ltd. All rights reserved.

Multi-Stakeholder Case Prioritization in Digital Investigations

Directory of Open Access Journals (Sweden)

Joshua I. James

2014-09-01

Full Text Available This work examines the problem of case prioritization in digital investigations for better utilization of limited criminal investigation resources. Current methods of case prioritization, as well as observed prioritization methods used in digital forensic investigation laboratories are examined. After, a multi-stakeholder approach to case prioritization is given that may help reduce reputational risk to digital forensic laboratories while improving resource allocation. A survey is given that shows differing opinions of investigation priority between Law Enforcement and the public that is used in the development of a prioritization model. Finally, an example case is given to demonstrate the practicality of the proposed method.

Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process

International Nuclear Information System (INIS)

Nagesha, N.; Balachandra, P.

2006-01-01

The small scale industry (SSI) is an important component of Indian economy and a majority of SSI units tend to exist in geographical clusters. Energy efficiency is crucial for the survival and growth of energy intensive SSI clusters, not only to improve their competitiveness through cost reduction but also to minimize adverse environmental impacts. However, this is easier said than done due to the presence of a variety of barriers. The identification of relevant barriers and their appropriate prioritization in such clusters is a prerequisite to effectively tackle them. This paper identifies relevant barriers to energy efficiency and their dimensions in SSI clusters. Further, the barriers are prioritized based on the perceptions and experiences of entrepreneurs, the main stakeholders of SSIs, using the analytic hierarchy process (AHP). The field data from two energy intensive clusters of foundry and brick and tile in Karnataka (a state in India) reveal that the prioritization remained the same despite differences in the relative weights of barrier groups. The financial and economic barrier (FEB) and behavioural and personal barrier (BPB) have emerged as the top two impediments to energy efficiency improvements

An inventory and risk-based prioritization of Steep Creek Fans in Alberta, Canada

Directory of Open Access Journals (Sweden)

Holm Kris

2016-01-01

Full Text Available In June 2013, heavy rainfall caused flooding on most rivers in the province of Alberta, Canada, producing one of Canada’s most expensive natural disasters with about $6 billion (CDN in damage. Flooding inundated several municipalities including downtown Calgary, the fourth-largest city in Canada. Debris flows and debris floods caused extensive highway closures and damages to development on alluvial fans. Following these events, the Government of Alberta requested an inventory of all fans intersecting municipal development, major roads and highways in Alberta. Such fans may be subject to debris flow, debris flood (mud flows, and/or flood hazards. The study area spans the entirety of the Alberta Rocky Mountains, approximately 51,000 km2 (7% of Alberta. We characterize 710 fans in terms of hazard level and presence and types of elements at risk. We statistically analyse watershed attributes to predict the dominant fan hydrogeomorphic process types. All fans under provincial jurisdiction are assigned priority ratings based on hazard levels and the presence and value of elements at risk. The prioritization is risk-based as it considers both hazards and potential consequences. Of the fans prioritized, 13% intersected parcels containing land and residential developments with an assessed value of $2.4 billion (CDN, and the remainder were crossed by roads, pipelines or transmission lines. We present the study results on an interactive, searchable web application that can support ongoing hazard and risk assessments and risk reduction planning.

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

Science.gov (United States)

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 (Ppeople 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.

Prioritization of environmental cleanup problems at Hanford

International Nuclear Information System (INIS)

Fassbender, L.L.

1994-01-01

New technologies and scientific research are needed to clean up the Hanford Site. However, there is insufficient funding to develop every technology that is identified or to undertake every scientific research project that is proposed. Thus, the Department of Energy (DOE) must focus its resources on science and technology (S ampersand T) that will have the most significant impacts on the overall cleanup effort. Hanford has recognized the importance of identifying and prioritizing its most critical problems and the most promising solutions to them. Hanford cleanup will require numerous decisions about technology development and implementation, which will be complicated because there are substantial uncertainties about the risks and the costs of new technologies. Further, the choice of a specific technology for a specific application must be evaluated with respect to multiple (and often conflicting) objectives (e.g., risk reduction, increasing effectiveness, cost reduction, increasing public acceptability, regulatory compliance). This paper provides an overview of the decision analysis methodology that was used to prioritize S ampersand T needs for Hanford cleanup

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

Science.gov (United States)

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).

Using cost-effectiveness analysis to support research and development portfolio prioritization for product innovations in measles vaccination.

Science.gov (United States)

Garrison, Louis P; Bauch, Chris T; Bresnahan, Brian W; Hazlet, Tom K; Kadiyala, Srikanth; Veenstra, David L

2011-07-01

Several potential measles vaccine innovations are in development to address the shortcomings of the current vaccine. Funders need to prioritize their scarce research and development resources. This article demonstrates the usefulness of cost-effectiveness analysis to support these decisions. This study had 4 major components: (1) identifying potential innovations, (2) developing transmission models to assess mortality and morbidity impacts, (3) estimating the unit cost impacts, and (4) assessing aggregate cost-effectiveness in United Nations Children's Fund countries through 2049. Four promising technologies were evaluated: aerosol delivery, needle-free injection, inhalable dry powder, and early administration DNA vaccine. They are projected to have a small absolute impact in terms of reducing the number of measles cases in most scenarios because of already improving vaccine coverage. Three are projected to reduce unit cost per dose by $0.024 to $0.170 and would improve overall cost-effectiveness. Each will require additional investments to reach the market. Over the next 40 years, the aggregate cost savings could be substantial, ranging from $98.4 million to $689.4 million. Cost-effectiveness analysis can help to inform research and development portfolio prioritization decisions. Three new measles vaccination technologies under development hold promise to be cost-saving from a global perspective over the long-term, even after considering additional investment costs. © The Author 2011. Published by Oxford University Press on behalf of the Infectious Diseases Society of America. All rights reserved.

Criteria for the prioritization of public health interventions for climate-sensitive vector-borne diseases in Quebec.

Directory of Open Access Journals (Sweden)

Valerie Hongoh

Full Text Available Prioritizing resources for optimal responses to an ever growing list of existing and emerging infectious diseases represents an important challenge to public health. In the context of climate change, there is increasing anticipated variability in the occurrence of infectious diseases, notably climate-sensitive vector-borne diseases. An essential step in prioritizing efforts is to identify what considerations and concerns to take into account to guide decisions and thus set disease priorities. This study was designed to perform a comprehensive review of criteria for vector-borne disease prioritization, assess their applicability in a context of climate change with a diverse cross-section of stakeholders in order to produce a baseline list of considerations to use in this decision-making context. Differences in stakeholder choices were examined with regards to prioritization of these criteria for research, surveillance and disease prevention and control objectives. A preliminary list of criteria was identified following a review of the literature. Discussions with stakeholders were held to consolidate and validate this list of criteria and examine their effects on disease prioritization. After this validation phase, a total of 21 criteria were retained. A pilot vector-borne disease prioritization exercise was conducted using PROMETHEE to examine the effects of the retained criteria on prioritization in different intervention domains. Overall, concerns expressed by stakeholders for prioritization were well aligned with categories of criteria identified in previous prioritization studies. Weighting by category was consistent between stakeholders overall, though some significant differences were found between public health and non-public health stakeholders. From this exercise, a general model for climate-sensitive vector-borne disease prioritization has been developed that can be used as a starting point for further public health prioritization

Criteria for the prioritization of public health interventions for climate-sensitive vector-borne diseases in Quebec.

Science.gov (United States)

Hongoh, Valerie; Gosselin, Pierre; Michel, Pascal; Ravel, André; Waaub, Jean-Philippe; Campagna, Céline; Samoura, Karim

2017-01-01

Prioritizing resources for optimal responses to an ever growing list of existing and emerging infectious diseases represents an important challenge to public health. In the context of climate change, there is increasing anticipated variability in the occurrence of infectious diseases, notably climate-sensitive vector-borne diseases. An essential step in prioritizing efforts is to identify what considerations and concerns to take into account to guide decisions and thus set disease priorities. This study was designed to perform a comprehensive review of criteria for vector-borne disease prioritization, assess their applicability in a context of climate change with a diverse cross-section of stakeholders in order to produce a baseline list of considerations to use in this decision-making context. Differences in stakeholder choices were examined with regards to prioritization of these criteria for research, surveillance and disease prevention and control objectives. A preliminary list of criteria was identified following a review of the literature. Discussions with stakeholders were held to consolidate and validate this list of criteria and examine their effects on disease prioritization. After this validation phase, a total of 21 criteria were retained. A pilot vector-borne disease prioritization exercise was conducted using PROMETHEE to examine the effects of the retained criteria on prioritization in different intervention domains. Overall, concerns expressed by stakeholders for prioritization were well aligned with categories of criteria identified in previous prioritization studies. Weighting by category was consistent between stakeholders overall, though some significant differences were found between public health and non-public health stakeholders. From this exercise, a general model for climate-sensitive vector-borne disease prioritization has been developed that can be used as a starting point for further public health prioritization exercises relating to

Text mining in cancer gene and pathway prioritization.

Science.gov (United States)

Luo, Yuan; Riedlinger, Gregory; Szolovits, Peter

2014-01-01

Prioritization of cancer implicated genes has received growing attention as an effective way to reduce wet lab cost by computational analysis that ranks candidate genes according to the likelihood that experimental verifications will succeed. A multitude of gene prioritization tools have been developed, each integrating different data sources covering gene sequences, differential expressions, function annotations, gene regulations, protein domains, protein interactions, and pathways. This review places existing gene prioritization tools against the backdrop of an integrative Omic hierarchy view toward cancer and focuses on the analysis of their text mining components. We explain the relatively slow progress of text mining in gene prioritization, identify several challenges to current text mining methods, and highlight a few directions where more effective text mining algorithms may improve the overall prioritization task and where prioritizing the pathways may be more desirable than prioritizing only genes.

Grand Gulf-prioritization of regulatory requirements

International Nuclear Information System (INIS)

Meisner, M.J.

1993-01-01

As cost pressures mount, Grand Gulf nuclear station (GGNS) is relying increasingly on various prioritization approaches to implement, modify, eliminate, or defer regulatory requirements. Regulatory requirements can be prioritized through the use of three measures: (1) safety (or risk) significance; (2) cost; and (3) public policy (or political) significance. This paper summarizes GGNS' efforts to implement solutions to regulatory issues using these three prioritization schemes to preserve a balance between cost and safety benefit

Prioritization methodology for chemical replacement

Science.gov (United States)

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

The study and prioritization of job satisfaction dimensions in zanjan-based Refah Bank employees

Directory of Open Access Journals (Sweden)

Siavash Rashidi

2013-01-01

Full Text Available Theories associated with job satisfaction are based on the principle that all environmental elements could shape entire career satisfaction.  In literature, major studies illustrate that positive and negative emotions are largely associated with job satisfaction. Job satisfaction source is not only job position but also other factors such as the physical and social work environment, relationships with supervisors and colleagues, group culture and management style of the managers.  In this study, it is aimed to evaluate and prioritize the five dimensions of job satisfaction in Zanjan Refah Bank employees: (i the nature of the job (ii supervisor, (iii peer, (iv promotion and (v payment. In this study a field research was applied with a survey study. To testify the hypothesis, the Pearson parametric and Friedman test was conducted. The major findings of this study are (i there is a negative correlation exists between level of education and nature of the job  (ii job promotion and payment, (iii there is not any significant differences in job satisfaction between men and women.Keywords: Refah Bank, Zanjan, job satisfaction

Savannah River Site prioritization of transition activities

International Nuclear Information System (INIS)

Finley, R.H.

1993-11-01

Effective management of SRS conversion from primarily a production facility to other missions (or Decontamination and Decommissioning (D ampersand D)) requires a systematic and consistent method of prioritizing the transition activities. This report discusses the design of a prioritizing method developed to achieve systematic and consistent methods of prioritizing these activities

The Interplay Between Evidence and Judgment in the IT Project Prioritization Process

DEFF Research Database (Denmark)

Shollo, Arisa; Constantiou, Ioanna; Kreiner, Kristian

2015-01-01

Strategic decisions concerning IT investments are based on a project prioritization process designed to accommodate evidence-based management and rational decision-making. Our empirical study of IT project prioritization in a financial institution shows how managers reach decisions under norms...... of evidence-based management. We use a rich dataset derived from a longitudinal study. We analyze managers’ decision-making practices and identify four tactics of supplementing, substituting, interpreting, and reframing the available evidence. The choice of tactic depends on how decision makers perceive...

Prioritizing veterinary pharmaceuticals for aquatic environment in Korea.

Science.gov (United States)

Kim, Younghee; Jung, Jinyong; Kim, Myunghyun; Park, Jeongim; Boxall, Alistair B A; Choi, Kyungho

2008-09-01

Pharmaceutical residues may have serious impacts on nontarget biological organisms in aquatic ecosystems, and have therefore precipitated numerous investigations worldwide. Many pharmaceutical compounds available on the market need to be prioritized based on their potential ecological and human health risks in order to develop sound management decisions. We prioritized veterinary pharmaceuticals in Korea by their usage, potential to enter the environment, and toxicological hazard. Twenty compounds were identified in the top priority class, most of which were antibiotics. Among these compounds, 8 were identified as deserving more immediate attention: amoxicillin, enramycin, fenbendazole, florfenicol, ivermectin, oxytetracycline, tylosin, and virginiamycin. A limitation of this study is that we initially screened veterinary pharmaceuticals by sales tonnage for veterinary use only. However, this is the first attempt to prioritize veterinary pharmaceuticals in Korea, and it provides important concepts for developing environmental risk management plans for such contaminants in aquatic systems. Copyright © 2008 Elsevier B.V. All rights reserved.

A novel approach for UI charge reduction using AMI based load prioritization in smart grid

Directory of Open Access Journals (Sweden)

Avani Pujara

2017-09-01

Full Text Available System frequency is vital part for power system balance. As per India Electricity Grid code frequency should be in the range of 49.5 Hz–50.5 Hz. Deviation from above mentioned range is charged as Unscheduled Interchange (UI charge. This paper proposes a new method for load and frequency control based on control of third parameter of three-part Availability Based Tariff (ABT i.e. Unscheduled Interchange charges. New circuit is designed considering prioritization of load and using Advanced Metering Infrastructure (AMI under Smart Grid environment.

Vehicle-based Methane Mapping Helps Find Natural Gas Leaks and Prioritize Leak Repairs

Science.gov (United States)

von Fischer, J. C.; Weller, Z.; Roscioli, J. R.; Lamb, B. K.; Ferrara, T.

2017-12-01

Recently, mobile methane sensing platforms have been developed to detect and locate natural gas (NG) leaks in urban distribution systems and to estimate their size. Although this technology has already been used in targeted deployment for prioritization of NG pipeline infrastructure repair and replacement, one open question regarding this technology is how effective the resulting data are for prioritizing infrastructure repair and replacement. To answer this question we explore the accuracy and precision of the natural gas leak location and emission estimates provided by methane sensors placed on Google Street View (GSV) vehicles. We find that the vast majority (75%) of methane emitting sources detected by these mobile platforms are NG leaks and that the location estimates are effective at identifying the general location of leaks. We also show that the emission rate estimates from mobile detection platforms are able to effectively rank NG leaks for prioritizing leak repair. Our findings establish that mobile sensing platforms are an efficient and effective tool for improving the safety and reducing the environmental impacts of low-pressure NG distribution systems by reducing atmospheric methane emissions.

CSAU (code scaling, applicability and uncertainty), a tool to prioritize advanced reactor research

International Nuclear Information System (INIS)

Wilson, G.E.; Boyack, B.E.

1990-01-01

Best Estimate computer codes have been accepted by the US Nuclear Regulatory Commission as an optional tool for performing safety analysis related to the licensing and regulation of current nuclear reactors producing commercial electrical power, providing their uncertainty is quantified. In support of this policy change, the NRC and its contractors and consultants have developed and demonstrated an uncertainty quantification methodology called CSAU. At the process level, the method is generic to any application which relies on best estimate computer code simulations to determine safe operating margins. The primary use of the CSAU methodology is to quantify safety margins for existing designs; however, the methodology can also serve an equally important role in advanced reactor research for plants not yet built. Applied early, during the period when alternate designs are being evaluated, the methodology can identify the relative importance of the sources of uncertainty in the knowledge of each plant behavior and, thereby, help prioritize the research needed to bring the new designs to fruition. This paper describes the CSAU methodology, at the generic process level, and provides the general principles whereby it may be applied to evaluations of advanced reactor designs. 9 refs., 1 fig., 1 tab

Retrofitting alarm prioritization at Bruce A: strategy development and implementation experience

International Nuclear Information System (INIS)

Davey, E.; Hickey, D.; Babcock, B.

1997-01-01

A prioritization strategy for computer-displayed control room alarms has been developed for Bruce A to better assist operations staff in visually identifying key alarms and judging the relative importance of alarms. The strategy consists of assigning each alarm indicative of a problem to be addressed to one of five priority categories. Each alarm is assigned to an alarm category based on an off-line analysis of the consequence and response characteristics applicable to the alarm for three plant operating contexts. The colour of the alarm message is used to convey the priority category of each alarm in computer-based alarm displays. In addition, alarms indicative of non-problematic changes in the state of plant equipment and processes are given a separate colour assignment to visually differentiate them from alarms indicative of problems. This paper outlines the user-based approach employed in the prioritization strategy development, describes the key features of the prioritization strategy adopted, and discusses the initial experience in systematically determining the priority assignments for all 6000 computer-based alarms associated with each generating unit. (author)

Optimizing the Prioritization of Natural Disaster Recovery Projects

National Research Council Canada - National Science Library

Aftanas, Jason M

2007-01-01

.... This work will focus on promoting objectivity in the project prioritizing process, improving the communication of the overall base recovery requirement, increasing efficiency in utilizing human and monetary resources, and the creation of a usable and repeatable decision-making tool based on Value-Focused Thinking and integer programming methods.

Guidelines for nuclear power plant safety issue prioritization information development. Supplement 3

International Nuclear Information System (INIS)

Andrews, W.B.; Bickford, W.E.; Counts, C.A.; Gallucci, R.H.V.; Heaberlin, S.W.; Powers, T.B.; Weakley, S.A.

1985-09-01

This supplemental report is the fourth in a series that document and use methods developed to calculate, for prioritization purposes, the risk, dose and cost impacts of implementing resolutions to reactor safety issues. The initial report in this series was published by Andrews et al. in 1983 as NUREG/CR-2800. This supplement consists of two parts describing separate research efforts: (1) an alternative human factors methodology approach, and (2) a prioritization of the NRC's Human Factors Program Plan. The alternative human factors methodology approach may be used in specific future cases in which the methods identified in the initial report (NUREG/CR-2800) may not adequately assess the proper impact for resolution of new safety issues. The alternative methodology included in this supplement is entitled ''Methodology for Estimating the Public Risk Reduction Affected by Human Factors Improvement.'' The prioritization section of this report is entitled ''Prioritization of the US Nuclear Regulatory Commission Human Factors Program Plan.''

Prioritization of Companion Animal Transmissible Diseases for Policy Intervention in Europe

DEFF Research Database (Denmark)

Cito, F.; Rijks, J.; Rantsios, A.T.

2016-01-01

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 s...... reptiles. The methodology presented in this paper can be used to generate accurate priority lists according to narrower and more specific objectives....

The prioritization of open innovation determinants in banking

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Tornjanski Vesna

2015-01-01

Full Text Available The research scope of the paper is prioritization of open innovation determinants in banking industry using an integrated application of qualitative and quantitative methods in the evaluation process. The research methods were implemented to compound the depth of experts' knowledge and experience on the one hand, and the precise mathematical reasoning, on the other, thus creating the objective and accurate basis for effective decision making. The overview of determinants of open innovations in banking industry has been obtained from the literature overview and the Delphi study conducted among 51 experts from banks in Serbia. Fifteen significant determinants within five dimensions were further evaluated through AHP decision-making method to prioritize them toward the development of the open innovation in banking. The research results show that effective application of open innovation in banking lies in formal reinforcement by management to integrate innovation into organizational policies and in designing dual structures that facilitate the initiation and implementation of an innovation, i.e. building an ambidextrous organization. The research findings and results introduced in this paper can be usefully applied and widely used by both academics and practitioners who are interested in applying the open innovation concept in banking industry.

Diabetes Bingo: Research Prioritization with the Filipino Community

Science.gov (United States)

Oculto, Tessie; Ramones, Emilyn; Caagbay, Cedric R

2010-01-01

This community-based participatory research, conducted in partnership between a European-American academic researcher and a professional group of Filipino nurses, aimed to determine the diabetes research priority for the Filipino community on the island of O‘ahu in Hawai‘i, and to evaluate the multi-voting technique to seek input from the community. The study design was a qualitative, cross-sectional interactive process consisting of an educational presentation followed by data collection from the audience. Ten community presentations about the impact of diabetes on the Filipino community were conducted by a Filipino nurse with participants (N = 265). Following the educational session, the participants selected priorities for research using a multi-vote technique developed as a Diabetes Bingo card. Community voting results identified prevention and a focus on adults as important priorities for research. Based on the results of the multi-voting, the research partners were able to come to consensus on a research priority area of prevention of type 2 diabetes in adults. Multi-voting using a Diabetes Bingo card, preceded by an educational presentation by a Filipino nurse, was a culturally competent community-based participatory research method that gave voice to the participants and direction to the research partners for future projects. The multi-voting technique was readily accepted and enjoyed by participants. PMID:21229487

Public Engagement in Prioritizing Research Proposals

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Cobi Smith

2014-02-01

Full Text Available Australia has reflected an international shift toward public participation in governance and science. Researchers have critiqued this shift as insufficient. Meanwhile, studies of how research funds are allocated also found room for improvement. This experiment tested a way to add value to the effort researchers put into research proposals by using them for deliberative public engagement. Three Australian events tested a model of deliberative participation in decision-making about science funding. These events were shorter than most deliberative processes, based on a model tested in the United Kingdom. Although recruitment was aimed at broad representation, participants had more formal education than Australia’s average. Voting decisions were most influenced by potential benefits to society of the planned research, as well as participants’ understanding of plans presented. Some reported that their decisions were influenced by whether benefits would happen locally. Results suggested that participants’ voting decisions were more influenced by the research plans than who presented them. However, unconscious biases cannot be ruled out as factors in decision-making. Participants reported they would be keen to participate in such a process again; however, this enthusiasm was linked to a meal incentive. The impact of brevity on deliberative decision-making is discussed, along with potential modifications for future experiments.

Analysis of the robustness of network-based disease-gene prioritization methods reveals redundancy in the human interactome and functional diversity of disease-genes.

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Emre Guney

Full Text Available Complex biological systems usually pose a trade-off between robustness and fragility where a small number of perturbations can substantially disrupt the system. Although biological systems are robust against changes in many external and internal conditions, even a single mutation can perturb the system substantially, giving rise to a pathophenotype. Recent advances in identifying and analyzing the sequential variations beneath human disorders help to comprehend a systemic view of the mechanisms underlying various disease phenotypes. Network-based disease-gene prioritization methods rank the relevance of genes in a disease under the hypothesis that genes whose proteins interact with each other tend to exhibit similar phenotypes. In this study, we have tested the robustness of several network-based disease-gene prioritization methods with respect to the perturbations of the system using various disease phenotypes from the Online Mendelian Inheritance in Man database. These perturbations have been introduced either in the protein-protein interaction network or in the set of known disease-gene associations. As the network-based disease-gene prioritization methods are based on the connectivity between known disease-gene associations, we have further used these methods to categorize the pathophenotypes with respect to the recoverability of hidden disease-genes. Our results have suggested that, in general, disease-genes are connected through multiple paths in the human interactome. Moreover, even when these paths are disturbed, network-based prioritization can reveal hidden disease-gene associations in some pathophenotypes such as breast cancer, cardiomyopathy, diabetes, leukemia, parkinson disease and obesity to a greater extend compared to the rest of the pathophenotypes tested in this study. Gene Ontology (GO analysis highlighted the role of functional diversity for such diseases.

Prioritization Assessment for Capability Gaps in Weapon System of Systems Based on the Conditional Evidential Network

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Dong Pei

2018-02-01

Full Text Available The prioritization of capability gaps for weapon system of systems is the basis for design and capability planning in the system of systems development process. In order to address input information uncertainties, the prioritization of capability gaps is computed in two steps using the conditional evidential network method. First, we evaluated the belief distribution of degree of required satisfaction for capabilities, and then calculated the reverse conditional belief function between capability hierarchies. We also provided verification for the feasibility and effectiveness of the proposed method through a prioritization of capability gaps calculation using an example of a spatial-navigation-and-positioning system of systems.

Prioritization of generic safety issues

International Nuclear Information System (INIS)

Emrit, R.; Minners, W.; VanderMolen, H.

1983-12-01

This report presents the priority rankings for generic safety issues related to nuclear power plants. The purpose of these rankings is to assist in the timely and efficient allocation of NRC resources for the resolution of those safety issues that have a significant potential for reducing risk. The report focuses on the prioritization of generic safety issues. Issues primarily concerned with the licensing process or environmental protection and not directly related to safety have been excluded from prioritization. The prioritized issues include: TMI Action Plan items under development; previously proposed issues covered by Task Action Plans, except issues designated at Unresolved Safety Issues (USIs) which had already been assigned high priority; and newly-proposed issues. Future supplements to this report will include the prioritization of additional issues. The safety priority rankings are HIGH, MEDIUM, LOW, and DROP and have been assigned on the basis of risk significance estimates, the ratio of risk to costs and other impacts estimated to result if resolutions of the safety issues were implemented, and the consideration of uncertainties and other quantitative or qualitative factors. To the extent practical, estimates are quantitative

Integrated prioritization method for active and passive highway-rail crossings.

Science.gov (United States)

2013-01-01

This two-year research project developed a prioritization system for highway-rail at-grade crossings that addressed the following major concerns: (1) warrants to identify low-volume, passive crossings with risk factors; (2) a broader priority index t...

Prioritizing equipment for replacement.

Science.gov (United States)

Capuano, Mike

2010-01-01

It is suggested that clinical engineers take the lead in formulating evaluation processes to recommend equipment replacement. Their skill, knowledge, and experience, combined with access to equipment databases, make them a logical choice. Based on ideas from Fennigkoh's scheme, elements such as age, vendor support, accumulated maintenance cost, and function/risk were used.6 Other more subjective criteria such as cost benefits and efficacy of newer technology were not used. The element of downtime was also omitted due to the data element not being available. The resulting Periop Master Equipment List and its rationale was presented to the Perioperative Services Program Council. They deemed the criteria to be robust and provided overwhelming acceptance of the list. It was quickly put to use to estimate required capital funding, justify items already thought to need replacement, and identify high-priority ranked items for replacement. Incorporating prioritization criteria into an existing equipment database would be ideal. Some commercially available systems do have the basic elements of this. Maintaining replacement data can be labor-intensive regardless of the method used. There is usually little time to perform the tasks necessary for prioritizing equipment. However, where appropriate, a clinical engineering department might be able to conduct such an exercise as shown in the following case study.

Identifying and prioritizing customer requirements from tractor production by QFD method

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H Taghizadeh

2017-05-01

Full Text Available Introduction Discovering and understanding customer needs and expectations are considered as important factors on customer satisfaction and play vital role to maintain the current activity among its competitors, proceeding and obtaining customer satisfaction which are critical factors to design a successful production; thus the successful organizations must meet their needs containing the quality of the products or services to customers. Quality Function Deployment (QFD is a technique for studying demands and needs of customers which is going to give more emphasis to the customer's interests in this way. The QFD method in general implemented various tools and methods for reaching qualitative goals; but the most important and the main tool of this method is the house of quality diagrams. The Analytic Hierarchy Process (AHP is a famous and common MADM method based on pair wise comparisons used for determining the priority of understudied factors in various studies until now. With considering effectiveness of QFD method to explicating customer's demands and obtaining customer satisfaction, generally, the researchers followed this question's suite and scientific answer: how can QFD explicate real demands and requirements of customers from tractor final production and what is the prioritization of these demands and requirements in view of customers. Accordingly, the aim of this study was to identify and prioritize the customer requirements of Massey Ferguson (MF 285 tractor production in Iran tractor manufacturing company with t- student statistical test, AHP and QFD methods. Materials and Methods Research method was descriptive and statistical population included all of the tractor customers of Tractor Manufacturing Company in Iran from March 2011 to March 2015. The statistical sample size was 171 which are determined with Cochran index. Moreover, 20 experts' opinion has been considered for determining product's technical requirements. Literature

Prioritizing disease candidate proteins in cardiomyopathy-specific protein-protein interaction networks based on "guilt by association" analysis.

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Wan Li

Full Text Available The cardiomyopathies are a group of heart muscle diseases which can be inherited (familial. Identifying potential disease-related proteins is important to understand mechanisms of cardiomyopathies. Experimental identification of cardiomyophthies is costly and labour-intensive. In contrast, bioinformatics approach has a competitive advantage over experimental method. Based on "guilt by association" analysis, we prioritized candidate proteins involving in human cardiomyopathies. We first built weighted human cardiomyopathy-specific protein-protein interaction networks for three subtypes of cardiomyopathies using the known disease proteins from Online Mendelian Inheritance in Man as seeds. We then developed a method in prioritizing disease candidate proteins to rank candidate proteins in the network based on "guilt by association" analysis. It was found that most candidate proteins with high scores shared disease-related pathways with disease seed proteins. These top ranked candidate proteins were related with the corresponding disease subtypes, and were potential disease-related proteins. Cross-validation and comparison with other methods indicated that our approach could be used for the identification of potentially novel disease proteins, which may provide insights into cardiomyopathy-related mechanisms in a more comprehensive and integrated way.

Aggressive effects of prioritizing popularity in early adolescence.

Science.gov (United States)

Cillessen, Antonius H N; Mayeux, Lara; Ha, Thao; de Bruyn, Eddy H; LaFontana, Kathryn M

2014-01-01

This study examined the moderating effects of prioritizing popularity on the association between early adolescents' popularity and their aggressive, leadership, and prosocial behaviors with peers. Participants were 288 14-year-olds from The Netherlands who completed a sociometric instrument and an assessment of how much they prioritized popularity over other personal goals. Results indicated that prioritizing popularity was distinct from actual popularity in the peer group. Further, prioritizing popularity moderated the association of popularity with aggressive and leadership behaviors, with adolescents who were both popular and who prioritized popularity being particularly aggressive and scoring high on leadership behaviors. This trend was especially true for boys. The same moderating effect was not found for prosocial behaviors. Motivational and social-cognitive factors in the dynamics of peer popularity are highlighted. © 2013 Wiley Periodicals, Inc.

Multisectoral prioritization of zoonotic diseases in Uganda, 2017: A One Health perspective.

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Musa Sekamatte

Full Text Available Zoonotic diseases continue to be a public health burden globally. Uganda is especially vulnerable due to its location, biodiversity, and population. Given these concerns, the Ugandan government in collaboration with the Global Health Security Agenda conducted a One Health Zoonotic Disease Prioritization Workshop to identify zoonotic diseases of greatest national concern to the Ugandan government.The One Health Zoonotic Disease Prioritization tool, a semi-quantitative tool developed by the U.S. Centers for Disease Control and Prevention, was used for the prioritization of zoonoses. Workshop participants included voting members and observers representing multiple government and non-governmental sectors. During the workshop, criteria for prioritization were selected, and questions and weights relevant to each criterion were determined. We used a decision tree to provide a ranked list of zoonoses. Participants then established next steps for multisectoral engagement for the prioritized zoonoses. A sensitivity analysis demonstrated how criteria weights impacted disease prioritization.Forty-eight zoonoses were considered during the workshop. Criteria selected to prioritize zoonotic diseases were (1 severity of disease in humans in Uganda, (2 availability of effective control strategies, (3 potential to cause an epidemic or pandemic in humans or animals, (4 social and economic impacts, and (5 bioterrorism potential. Seven zoonotic diseases were identified as priorities for Uganda: anthrax, zoonotic influenza viruses, viral hemorrhagic fevers, brucellosis, African trypanosomiasis, plague, and rabies. Sensitivity analysis did not indicate significant changes in zoonotic disease prioritization based on criteria weights.One Health approaches and multisectoral collaborations are crucial to the surveillance, prevention, and control strategies for zoonotic diseases. Uganda used such an approach to identify zoonoses of national concern. Identifying these

Use of prioritization in meeting regulatory requirements

International Nuclear Information System (INIS)

Bowling, M.L.; Sommers, D.A.; Girvin, L.M.

1993-01-01

The use of prioritization in the allocation of resources is certainly not a new idea. However, the degree to which prioritization must now be used is much greater than ever before. In the past, utilities generally allocated the necessary resources to meet all regulatory requirements and commitments. Prioritization was then applied to the remaining nonregulatory but required needs. This approach to resource allocation is no longer appropriate for the current and projected economic and operating environment. Key reasons for this conclusion are discussed in this paper by staff from Virginia Power

The effect of requirements prioritization on avionics system conceptual design

Science.gov (United States)

Lorentz, John

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.

Improved Prioritization Criteria for Road Infrastructure Projects

Directory of Open Access Journals (Sweden)

Ionescu Heroiu Marcel

2016-12-01

Full Text Available This report’s main aim is to propose a methodology for assessing state-budget-funded projects based on a rigorous selection model, including clear and effective prioritization criteria. This report first argues that project prioritization and selection should be optimized against four dimensions: absorption, impact, legitimacy, and capacity. Second, it provides a diagnostic of the National Program for Local Development (PNDL, managed by the Ministry of Regional Development and Public Administration (MRDPA, as the most significant source of state-budget funding for local infrastructure projects. The PNDL’s current design and implementation leaves room for improvement, as reflected by the lack of strategic direction in allocating funds and the continued rise in the number of projects that get started without a feasible timeline for their completion. Further, this report makes recommendations for improvement of project evaluation and selection procedures for local infrastructure development projects, with a special focus on prioritization criteria and viable funding sources for each type of investment. The practical purpose is to enhance the efficiency and effectiveness of proposed investments, maximizing impact in the context of inherently limited available financial resources. A complementary focus is on opportunities for harmonizing and better coordinating investments across various sources of funding, in the context of nearly EUR 40 billion available to Romania from the EU for the 2014-2020 programming period.

A clinically driven variant prioritization framework outperforms purely computational approaches for the diagnostic analysis of singleton WES data.

Science.gov (United States)

Stark, Zornitza; Dashnow, Harriet; Lunke, Sebastian; Tan, Tiong Y; Yeung, Alison; Sadedin, Simon; Thorne, Natalie; Macciocca, Ivan; Gaff, Clara; Oshlack, Alicia; White, Susan M; James, Paul A

2017-11-01

Rapid identification of clinically significant variants is key to the successful application of next generation sequencing technologies in clinical practice. The Melbourne Genomics Health Alliance (MGHA) variant prioritization framework employs a gene prioritization index based on clinician-generated a priori gene lists, and a variant prioritization index (VPI) based on rarity, conservation and protein effect. We used data from 80 patients who underwent singleton whole exome sequencing (WES) to test the ability of the framework to rank causative variants highly, and compared it against the performance of other gene and variant prioritization tools. Causative variants were identified in 59 of the patients. Using the MGHA prioritization framework the average rank of the causative variant was 2.24, with 76% ranked as the top priority variant, and 90% ranked within the top five. Using clinician-generated gene lists resulted in ranking causative variants an average of 8.2 positions higher than prioritization based on variant properties alone. This clinically driven prioritization approach significantly outperformed purely computational tools, placing a greater proportion of causative variants top or in the top 5 (permutation P-value=0.001). Clinicians included 40 of the 49 WES diagnoses in their a priori list of differential diagnoses (81%). The lists generated by PhenoTips and Phenomizer contained 14 (29%) and 18 (37%) of these diagnoses respectively. These results highlight the benefits of clinically led variant prioritization in increasing the efficiency of singleton WES data analysis and have important implications for developing models for the funding and delivery of genomic services.

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

Science.gov (United States)

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.

Socio-political prioritization of bioenergy with carbon capture and storage

International Nuclear Information System (INIS)

Fridahl, Mathias

2017-01-01

Limiting global warming to well below 2 °C requires the transformation of the global energy system at a scale unprecedented since the industrial revolution. To meet this 2 °C goal, 87% of integrated assessment models opt for using bioenergy with carbon capture and storage (BECCS). Without BECCS, the models predict that the goal will be either unachievable or substantially more costly to meet. While the modeling literature is extensive, studies of how key climate policy actors perceive and prioritize BECCS are sparse. This article provides a unique intercontinental mapping of the prioritization of BECCS for the long term transition of the electricity supply sector. Based on survey responses from 711 UN climate change conference delegates, the article reports the low prioritization of BECCS relative to alternative technologies, indicating an urgent need for studies of the socio-political preconditions for large-scale BECCS deployment. - Highlights: • UN climate conference delegates’ prioritization of BECCS investments is mapped. • The preferences depend on the respondents’ actor type and regional belonging. • State actors are more positive toward BECCS investments than are non-state actors. • Investment preferences correlate with technical potential in respondents’ regions. • The results indicate an urgent need for further studies of the legitimacy of BECCS.

Data integration to prioritize drugs using genomics and curated data.

Science.gov (United States)

Louhimo, Riku; Laakso, Marko; Belitskin, Denis; Klefström, Juha; Lehtonen, Rainer; Hautaniemi, Sampsa

2016-01-01

Genomic alterations affecting drug target proteins occur in several tumor types and are prime candidates for patient-specific tailored treatments. Increasingly, patients likely to benefit from targeted cancer therapy are selected based on molecular alterations. The selection of a precision therapy benefiting most patients is challenging but can be enhanced with integration of multiple types of molecular data. Data integration approaches for drug prioritization have successfully integrated diverse molecular data but do not take full advantage of existing data and literature. We have built a knowledge-base which connects data from public databases with molecular results from over 2200 tumors, signaling pathways and drug-target databases. Moreover, we have developed a data mining algorithm to effectively utilize this heterogeneous knowledge-base. Our algorithm is designed to facilitate retargeting of existing drugs by stratifying samples and prioritizing drug targets. We analyzed 797 primary tumors from The Cancer Genome Atlas breast and ovarian cancer cohorts using our framework. FGFR, CDK and HER2 inhibitors were prioritized in breast and ovarian data sets. Estrogen receptor positive breast tumors showed potential sensitivity to targeted inhibitors of FGFR due to activation of FGFR3. Our results suggest that computational sample stratification selects potentially sensitive samples for targeted therapies and can aid in precision medicine drug repositioning. Source code is available from http://csblcanges.fimm.fi/GOPredict/.

A prioritization of generic safety issues

International Nuclear Information System (INIS)

Emrit, R.; Riggs, R.; Milstead, W.; Pittman, J.

1991-07-01

This report presents the priority rankings for generic safety issues and related to nuclear power plants. The purpose of these rankings is to assist in the timely and efficient allocation of NRC resources for the resolution of those safety issues that have a significant potential for reducing risk. The report focuses on the prioritization of generic safety issues. Issues primarily concerned with the licensing process or environmental protection and not directly related to safety have been excluded from prioritization. The prioritized issues include: TMI Action Plan items under development; previously proposed issues covered by Task Action Plans, except issues designated as Un-resolved Safety Issues (USIs) which had already been assigned high priority; and newly-proposed issues. Future supplements to this report will include the prioritization of additional issues. The safety priority rankings are High, Medium, Low, and Drop and have been assigned on the basis of risk significance estimates, the ratio of risk to costs and other impacts estimated to result if resolutions of the safety issues were implemented, and the consideration of uncertainties and other quantitative or qualitative factors. To the extent practical, estimates are quantitative. 1310 refs

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

Science.gov (United States)

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

A PERSPECTIVE ON PRIORITIZATION IN PROJECT PORTFOLIO ENVIRONMENT

OpenAIRE

Eberhardt, Henrik; Lindblom, David

2011-01-01

The overbridging aspect of this interpretative master thesis is the implementation of a project prioritizing strategy. The concept is subdivided into three processes and entities, which could be seen as tools; project management office(PMO), project evaluation and project selection, which in turn are discussed separately. The thesis investigates how the tools impact the prioritizing strategy and why a company must follow a certain prioritizing strategy. The primary focus has been an IS/IT dep...

Prioritizing Environmental Chemicals for Obesity and Diabetes ...

Science.gov (United States)

Background: Diabetes and obesity are major threats to public health in the US and abroad. Understanding the role chemicals in our environment play in the development of these conditions is an emerging issue in environmental health, although identifying and prioritizing chemicals for testing beyond those already implicated in the literature is a challenge. This review is intended to help researchers generate hypotheses about chemicals potentially contributing to diabetes and obesity-related health outcomes by summarizing relevant findings from the US Environmental Protection Agency (EPA) ToxCast high-throughput screening (HTS) program. Objectives: To develop new hypotheses around environmental chemicals of potential interest for diabetes- or obesity-related outcomes using high throughput screening data. Methods: Identify ToxCast assay targets relevant to several biological processes related to diabetes and obesity (insulin sensitivity in peripheral tissue, pancreatic islet and beta cell function, adipocyte dierentiation, and feeding behavior) and present chemical screening data against those assay targets to identify chemicals of potential interest. Discussion: Results of this screening-level analysis suggest that the spectrum of environmental chemicals to consider in research related to diabetes and obesity is much broader than indicated from research papers and reviews published in the peer-reviewed literature. Testing of hypotheses based on ToxCast data will a

Identifying and prioritizing export barriers to small and medium enterprises (SMEs regarding food Industry based on national competition diamond Cole Porter model

Directory of Open Access Journals (Sweden)

Hossein Rahmanyyoushanlouei

2013-07-01

Full Text Available Diamond model Cole Porter and approaches after that have been used in several investigations in most countries and the credit behind the model has been repeatedly confirmed. But any theory is contended with regard to the conditions and time scope of their own; and gets corrected with the emergence of new features and based on the environment of reform. Current study has tried to identify and prioritize export barriers to small and medium enterprises (SMEs regarding food industry based on national competition diamond Cole Porter model in Iran (East Azerbaijan province and its subject pool were 266 people who were given the questionnaires. The method used to analyze and get information from research was exploratory confirmation factor, particularly from the equations structural theories for examination. With regard to the results achieved all hypotheses were confirmed.

Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

KAUST Repository

Benkhelifa, Fatma

2017-12-04

Simultaneous wireless power and information transfer (SWIPT) is considered in cognitive radio networks with a multi-antenna energy harvesting (EH) secondary receiver (SR). The SR harvests the energy from the secondary transmitter and primary transmitter. The SR uses the antenna switching technique which selects a subset of antennas to decode the information (namely the information decoding (ID) antennas) and the rest to harvest the energy (namely the EH antennas). The AS technique is performed via a thresholding-based strategy inspired from the maximum ratio combining technique with an output threshold (OT-MRC) which is proposed in two ways: the prioritizing data selection (PDS) scheme, and the prioritizing energy selection (PES) scheme. For both schemes, we study the expressions and the asymptotic results of the probability mass function of the selected ID antennas, the average harvested energy, the power outage probability, and the data outage probability. We deduce the performance of the joint PDS and PES scheme. We evaluate all performance metrics for the Rayleigh and Nakagami fading channels. Through the simulation results, we show the impact of different simulation parameters on the performance metrics. We also show that there is a tradeoff between the data and energy performance metrics.

Prioritizing Data/Energy Thresholding-Based Antenna Switching for SWIPT-Enabled Secondary Receiver in Cognitive Radio Networks

KAUST Repository

Benkhelifa, Fatma; Alouini, Mohamed-Slim

2017-01-01

Simultaneous wireless power and information transfer (SWIPT) is considered in cognitive radio networks with a multi-antenna energy harvesting (EH) secondary receiver (SR). The SR harvests the energy from the secondary transmitter and primary transmitter. The SR uses the antenna switching technique which selects a subset of antennas to decode the information (namely the information decoding (ID) antennas) and the rest to harvest the energy (namely the EH antennas). The AS technique is performed via a thresholding-based strategy inspired from the maximum ratio combining technique with an output threshold (OT-MRC) which is proposed in two ways: the prioritizing data selection (PDS) scheme, and the prioritizing energy selection (PES) scheme. For both schemes, we study the expressions and the asymptotic results of the probability mass function of the selected ID antennas, the average harvested energy, the power outage probability, and the data outage probability. We deduce the performance of the joint PDS and PES scheme. We evaluate all performance metrics for the Rayleigh and Nakagami fading channels. Through the simulation results, we show the impact of different simulation parameters on the performance metrics. We also show that there is a tradeoff between the data and energy performance metrics.

Identification and Prioritization of the Factors Affecting the Implementation of Activity-Based Costing with Analytic Hierarchy Process: Qaemshahr Municipality Case Study

Directory of Open Access Journals (Sweden)

Seyedeh Shayesteh Varadi

2017-02-01

Full Text Available The aim of the research is to identify and prioritize the factors affecting the successful implementation of Activity-Based Costing (ABC system in Qaemshahr Municipality so that we can learn about the factors affecting the deployment of the ABC system in the organization under study. The present study is applied and descriptive-analytical (non-experimental in terms of the objective and methodology, respectively. Statistical population of the study includes 35 managers, deputies and experts in finance and accounting department of Qaemshahr Municipality in 2016. The required data were collected using a validated questionnaire based on conceptual models; and the data were analyzed through Expert Choice and Topsis software. Research findings about the research questions show that from the perspective of managers, deputies and experts in finance and accounting department of Qaemshahr Municipality, parameters of: 1. Technical factors with the final weight vector of "0.389", 2. Individual factors with the final weight vector of "0.277", 3. Environmental factors with the final weight vector of "0.173", and 4. Organizational factors with the final weight vector of "0.161", are respectively the most important factors in the successful implementation and deployment of ABC system in Qaemshahr Municipality.

Prioritized Contact Transport Stream

Science.gov (United States)

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.

Health technology prioritization: which criteria for prioritizing new technologies and what are their relative weights?

Science.gov (United States)

Golan, Ofra; Hansen, Paul; Kaplan, Giora; Tal, Orna

2011-10-01

To review the criteria and 'other' considerations used internationally for prioritizing new health technologies, and to demonstrate a conjoint-analysis methodology (also known as discrete choice experiments) for deriving relative weights for the criteria. We searched the literature for criteria and other considerations for prioritizing new technologies. A convenience sample of 74 respondents completed a conjoint-analysis survey involving criteria related to technologies' 'benefits'. Encompassing 11 countries and the US state of Oregon, we were able to distinguish three main groups of criteria: (a) Need, appropriateness and clinical benefits; (b) Efficiency (including cost-effectiveness); and (c) Equality, solidarity and other ethical or social values. For several countries, the quality of the clinical and economic evidence and factors related to strategic issues and procedural justice respectively are also considered. The criteria and their weights from the conjoint-analysis survey are: 'Lives saved'=0.343, 'Life-prolongation benefits'=0.243, 'Quality-of-life gains'=0.217, a criterion representing the availability of alternative treatments=0.107, and 'Other important social/ethical benefits'=0.087. The criteria represent a pluralistic combination of needs-based, maximizing and egalitarian principles, and we demonstrated a methodology for deriving the weights for criteria related to technologies' 'benefits'. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

A novel root-index based prioritized random access scheme for 5G cellular networks

Directory of Open Access Journals (Sweden)

Taehoon Kim

2015-12-01

Full Text Available Cellular networks will play an important role in realizing the newly emerging Internet-of-Everything (IoE. One of the challenging issues is to support the quality of service (QoS during the access phase, while accommodating a massive number of machine nodes. In this paper, we show a new paradigm of multiple access priorities in random access (RA procedure and propose a novel root-index based prioritized random access (RIPRA scheme that implicitly embeds the access priority in the root index of the RA preambles. The performance evaluation shows that the proposed RIPRA scheme can successfully support differentiated performance for different access priority levels, even though there exist a massive number of machine nodes.

Prioritization of Capital Projects

National Research Council Canada - National Science Library

LaVielle, Michael

2002-01-01

Public works capital projects in the U,S, naval forces are not prioritized and funded in a way that best uses limited operations resources and maintenance dollars, This thesis develops a linear model...

A remedial alternative prioritization method

International Nuclear Information System (INIS)

Richter, S.A.; Travis, C.C.

1987-01-01

This study develops and tests a technique for evaluating and prioritizing alternative remedial actions for hazardous waste sites. The method is based on criteria involving risk, benefit and cost, and identifies the most cost-effective solution to a given remedial problem. Four sites on the Department of Energy's Oak Ridge National Laboratory (ORNL) property in Oak Ridge, Tennessee, were used in a case study to develop and test the method. Results of the case study indicate that even if the cap providing in situ containment must be replaced every 10 years, it is a superior alternative to total excavation of the waste sites

Prioritizing Zoonotic Diseases: Differences in Perspectives Between Human and Animal Health Professionals in North America.

Science.gov (United States)

Ng, V; Sargeant, J M

2016-05-01

Zoonoses pose a significant burden of illness in North America. Zoonoses represent an additional threat to public health because the natural reservoirs are often animals, particularly wildlife, thus eluding control efforts such as quarantine, vaccination and social distancing. As there are limited resources available, it is necessary to prioritize diseases in order to allocate resources to those posing the greatest public health threat. Many studies have attempted to prioritize zoonoses, but challenges exist. This study uses a quantitative approach, conjoint analysis (CA), to overcome some limitations of traditional disease prioritization exercises. We used CA to conduct a zoonoses prioritization study involving a range of human and animal health professionals across North America; these included epidemiologists, public health practitioners, research scientists, physicians, veterinarians, laboratory technicians and nurses. A total of 699 human health professionals (HHP) and 585 animal health professionals (AHP) participated in this study. We used CA to prioritize 62 zoonotic diseases using 21 criteria. Our findings suggest CA can be used to produce reasonable criteria scores for disease prioritization. The fitted models were satisfactory for both groups with a slightly better fit for AHP compared to HHP (84.4% certainty fit versus 83.6%). Human-related criteria were more influential for HHP in their decision to prioritize zoonoses, while animal-related criteria were more influential for AHP resulting in different disease priority lists. While the differences were not statistically significant, a difference of one or two ranks could be considered important for some individuals. A potential solution to address the varying opinions is discussed. The scientific framework for disease prioritization presented can be revised on a regular basis by updating disease criteria to reflect diseases as they evolve over time; such a framework is of value allowing diseases of

78 FR 69839 - Building Technologies Office Prioritization Tool

Science.gov (United States)

2013-11-21

... standards and building codes to ensure energy savings within buildings. BTO has developed a new technology... DEPARTMENT OF ENERGY Building Technologies Office Prioritization Tool AGENCY: Office of Energy....S. Department of Energy's (DOE) Building Technologies Office (BTO) developed the Prioritization Tool...

How Do Teachers Prioritize the Adoption of Technology in the Classroom?

Science.gov (United States)

Kurt, Serhat

2012-01-01

This study examined whether teachers prioritize the use of technology. More specifically, this paper focused on how Turkish teachers think about the importance of technology and technological tools for their daily routines. The research design employed both qualitative and quantitative methods. The data were collected through document analyses,…

Prioritizing Active Learning: An Exploration of Gateway Courses in Political Science

Science.gov (United States)

Archer, Candace C.; Miller, Melissa K.

2011-01-01

Prior research in political science and other disciplines demonstrates the pedagogical and practical benefits of active learning. Less is known, however, about the extent to which active learning is used in political science classrooms. This study assesses the prioritization of active learning in "gateway" political science courses, paying…

Prioritizing Signaling Information Transmission in Next Generation Networks

Directory of Open Access Journals (Sweden)

Jasmina Baraković

2011-01-01

Full Text Available Next generation transport network is characterized by the use of in-band signaling, where Internet Protocol (IP packets carrying signaling or media information are mixed in transmission. Since transport resources are limited, when any segment of access or core network is congested, IP packets carrying signaling information may be discarded. As a consequence, it may be impossible to implement reachability and quality of service (QoS. Since present approaches are insufficient to completely address this problem, a novel approach is proposed, which is based on prioritizing signaling information transmission. To proof the concept, a simulation study was performed using Network Simulator version 2 (ns-2 and independently developed Session Initiation Protocol (SIP module. The obtained results were statistically processed using Statistical Package for the Social Sciences (SPSS version 15.0. Summarizing our research results, several issues are identified for future work.

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

Science.gov (United States)

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.

Cost-Prioritized Droop Schemes for Autonomous AC Microgrids

DEFF Research Database (Denmark)

Nutkani, Inam Ullah; Loh, Poh Chiang; Wang, Peng

2015-01-01

This paper presents two cost-prioritized droop sche- mes for distributed generators (DGs) in a rural or islanded microgrid. Dispatch prioritization of the schemes allows autonomous identification of the appropriate DGs for generation, in accordance to the overall load conditions of the microgrid....

Points to consider for prioritizing clinical genetic testing services

DEFF Research Database (Denmark)

Severin, Franziska; Borry, Pascal; Cornel, Martina C

2015-01-01

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...... 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......, 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.European Journal of Human Genetics advance online publication, 24 September 2014; doi:10.1038/ejhg.2014.190....

A Toxicological Framework for the Prioritization of Children’s Safe Product Act Data

Directory of Open Access Journals (Sweden)

Marissa N. Smith

2016-04-01

Full Text Available In response to concerns over hazardous chemicals in children’s products, Washington State passed the Children’s Safe Product Act (CSPA. CSPA requires manufacturers to report the concentration of 66 chemicals in children’s products. We describe a framework for the toxicological prioritization of the ten chemical groups most frequently reported under CSPA. The framework scores lifestage, exposure duration, primary, secondary and tertiary exposure routes, toxicokinetics and chemical properties to calculate an exposure score. Four toxicological endpoints were assessed based on curated national and international databases: reproductive and developmental toxicity, endocrine disruption, neurotoxicity and carcinogenicity. A total priority index was calculated from the product of the toxicity and exposure scores. The three highest priority chemicals were formaldehyde, dibutyl phthalate and styrene. Elements of the framework were compared to existing prioritization tools, such as the United States Environmental Protection Agency’s (EPA ExpoCast and Toxicological Prioritization Index (ToxPi. The CSPA framework allowed us to examine toxicity and exposure pathways in a lifestage-specific manner, providing a relatively high throughput approach to prioritizing hazardous chemicals found in children’s products.

OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants

KAUST Repository

Boudellioua, Imene; Kulmanov, Maxat; Schofield, Paul N; Gkoutos, Georgios V; Hoehndorf, Robert

2018-01-01

patient phenotypes to databases of gene-phenotype associations observed in clinical research can provide useful information and improve variant prioritization for Mendelian diseases. Additionally, background knowledge about interactions between genes can

Redefining disease emergence to improve prioritization and macro-ecological analyses.

Science.gov (United States)

Rosenthal, Samantha R; Ostfeld, Richard S; McGarvey, Stephen T; Lurie, Mark N; Smith, Katherine F

2015-12-01

Microbial infections are as old as the hosts they sicken, but interest in the emergence of pathogens and the diseases they cause has been accelerating rapidly. The term 'emerging infectious disease' was coined in the mid-1900s to describe changes in disease dynamics in the modern era. Both the term and the phenomena it is meant to characterize have evolved and diversified over time, leading to inconsistencies and confusion. Here, we review the evolution of the term 'emerging infectious disease' (EID) in the literature as applied to human hosts. We examine the pathways (e.g., speciation or strain differentiation in the causative agent vs. rapid geographic expansion of an existing pathogen) by which diseases emerge. We propose a new framework for disease and pathogen emergence to improve prioritization. And we illustrate how the operational definition of an EID affects conclusions concerning the pathways by which diseases emerge and the ecological and socioeconomic drivers that elicit emergence. As EIDs appear to be increasing globally, and resources for science level off or decline, the research community is pushed to prioritize its focus on the most threatening diseases, riskiest potential pathogens, and the places they occur. The working definition of emerging infectious diseases and pathogens plays a crucial role in prioritization, but we argue that the current definitions may be impeding these efforts. We propose a new framework for classifying pathogens and diseases as "emerging" that distinguishes EIDs from emerging pathogens and novel potential pathogens. We suggest prioritization of: 1) EIDs for adaptation and mitigation, 2) emerging pathogens for preventive measures, and 3) novel potential pathogens for intensive surveillance.

Redefining disease emergence to improve prioritization and macro-ecological analyses

Directory of Open Access Journals (Sweden)

Samantha R. Rosenthal

2015-12-01

Full Text Available Microbial infections are as old as the hosts they sicken, but interest in the emergence of pathogens and the diseases they cause has been accelerating rapidly. The term ‘emerging infectious disease’ was coined in the mid-1900s to describe changes in disease dynamics in the modern era. Both the term and the phenomena it is meant to characterize have evolved and diversified over time, leading to inconsistencies and confusion. Here, we review the evolution of the term ‘emerging infectious disease’ (EID in the literature as applied to human hosts. We examine the pathways (e.g., speciation or strain differentiation in the causative agent vs. rapid geographic expansion of an existing pathogen by which diseases emerge. We propose a new framework for disease and pathogen emergence to improve prioritization. And we illustrate how the operational definition of an EID affects conclusions concerning the pathways by which diseases emerge and the ecological and socioeconomic drivers that elicit emergence. As EIDs appear to be increasing globally, and resources for science level off or decline, the research community is pushed to prioritize its focus on the most threatening diseases, riskiest potential pathogens, and the places they occur. The working definition of emerging infectious diseases and pathogens plays a crucial role in prioritization, but we argue that the current definitions may be impeding these efforts. We propose a new framework for classifying pathogens and diseases as “emerging” that distinguishes EIDs from emerging pathogens and novel potential pathogens. We suggest prioritization of: 1 EIDs for adaptation and mitigation, 2 emerging pathogens for preventive measures, and 3 novel potential pathogens for intensive surveillance.

MetaRanker 2.0: a web server for prioritization of genetic variation data.

Science.gov (United States)

Pers, Tune H; Dworzyński, Piotr; Thomas, Cecilia Engel; Lage, Kasper; Brunak, Søren

2013-07-01

MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic association data, protein-protein interactions, large-scale text-mining data, copy number variation data and gene expression experiments, MetaRanker 2.0 prioritizes the protein-coding part of the human genome to shortlist candidate genes for targeted follow-up studies. MetaRanker 2.0 is made freely available at www.cbs.dtu.dk/services/MetaRanker-2.0.

The effects of prioritize inspections on occupational health hazards control in workplaces in Iran.

Science.gov (United States)

Sadeghi, Fatemah; Bahrami, Abdolrahman; Fatemi, Farin

2014-01-01

Iran, a newly industrializing country in Middle East, has a workforce of 25 million people. Most employees are working in agriculture, manufacturing, services, construction, commerce sectors, carpet weaving and mining. This article aims to explore the improvement of occupational harmful agents in workplaces due to implement "prioritize inspections". In 2012, the system of "prioritize inspections "was defined for surveillance on enterprises replace of routine inspection. From this system, the enterprises classified on four groups based on health hazards and enterprises with high risk were under more surveillance. The information about each enterprise was collected by health centers, in five provinces and reported by a recommended form to Centre of Environmental and Occupational Health (CEOH). At this program, the inspections from high and medium hazards were increased in all of provinces. The results showed there was a significant difference between the control of health hazards in before and after beginning of "prioritize inspections"(P=0.048). The control of noise, fumes and providing of proper illumination increased from 8 to 10%, 9 to 9.5%, 12.9 to 15.4%, respectively, at under study provinces in 2012 compared to 2011. The surveillance based on "prioritize inspections" increased the quality of occupational health inspections that causes to prevent occupational health diseases.

An evaluation of risk methods for prioritizing fire protection features: a procedure for fire barrier penetration seals

International Nuclear Information System (INIS)

Dey, M.K.

2004-01-01

This paper generally evaluates risk methods available for prioritizing fire protection features. Risk methods involving both the use of qualitative insights, and quantitative results from a fire probabilistic risk analysis are reviewed. The applicability of these methods to develop a prioritized list of fire barrier penetration seals in a plant based on risk significance is presented as a procedure to illustrate the benefits of the methods. The paper concludes that current fire risk assessment methods can be confidently used to prioritize plant fire protection features, specifically fire barrier penetration seals. Simple prioritization schemes, using qualitative assessments and insights from fire PRA methodology may be implemented without the need for quantitative results. More elaborate prioritization schemes that allow further refinements to the categorization process may be implemented using the quantitative results of the screening processes in good fire PRAs. The use of the quantitative results from good fire PRAs provide several benefits for risk prioritization of fire protection features at plants, mainly from the plant systems analyses conducted for a fire PRA

Behavioral Correlates of Prioritizing Popularity in Adolescence.

Science.gov (United States)

van den Broek, Nina; Deutz, Marike H F; Schoneveld, Elke A; Burk, William J; Cillessen, Antonius H N

2016-12-01

Little is known about individual differences in adolescents' motivation to achieve and maintain popularity. This study examined the moderating effects of prioritizing popularity on the associations between popularity and adjustment outcomes in late adolescence. Participants were 314 Dutch eleventh-grade students (M age  = 16.83 years; 52 % male) who completed measures of popularity, prioritizing popularity, and prosocial, antisocial, and risk behaviors. It was hypothesized that associations between popularity and adjustment outcomes are stronger for adolescents who prioritize popularity. The results indicate that the combination of being popular and valuing popularity was strongly related to antisocial and risk behaviors, but not to prosocial behaviors. Adolescents' social status motivations thus play an important role in the association of popularity with antisocial and risk behaviors in late adolescence.

The effects of resistance training prioritization in NCAA Division I Football summer training.

Science.gov (United States)

Smith, Robert A; Martin, Gerard J; Szivak, Tunde K; Comstock, Brett A; Dunn-Lewis, Courtenay; Hooper, David R; Flanagan, Shawn D; Looney, David P; Volek, Jeff S; Maresh, Carl M; Kraemer, William J

2014-01-01

Resistance training (RT) is an integral part of National Collegiate Athletic Association (NCAA) Division I Football performance programs. In the sport of football, there are several components that a strength and conditioning coach must be aware of. These include body mass, size, strength, power, speed, conditioning, and injury prevention, among others. The purpose of this study was to investigate if the RT component of a performance program could be prioritized for specific results using a nonlinear training model, grouping athletes by eligibility year. The NCAA Division I football student athletes were placed into 3 separate groups based on the playing year. All subjects participated in a 10-week, 4 days·week-1 off-season summer resistance training program. The training of group 1 (n = 20, age: 18.95 ± 0.76 years, height: 186.63 ± 7.21 cm, body mass: 97.66 ± 18.17 kg, playing year: 1.05 ± 0.22 years) prioritized hypertrophy-based RT to gain body mass. The training of group 2 (n = 20, age: 20.05 ± 1.05 years, height: 189.42 ± 5.49 cm, body mass: 106.99 ± 13.53 kg, and playing year: 2.35 ± 0.75 years) prioritized strength-based RT to gain strength. The training of group 3 (n = 20, age: 21.05 ± 1.10 years, height: 186.56 ± 6.73 cm, body mass: 109.8 ± 19.96 kg, playing year: 4.4 ± 0.50 years) prioritized power-based RT to gain power. Performance tests were evaluated during the first weeks of March (Spring) and August (Fall). The test measures included body mass (kilograms), 1-repetition maximum (1RM) bench press (kilograms), 1RM back squat (kilograms), 1RM power clean (kilograms), and countermovement vertical jump (CMVJ) height (centimeters). The primary findings of this investigation were as follows: group 1 saw significant increases in bench press maximum, back squat maximum, and power clean maximum (p ≤ 0.05). Group 2 saw significant increases in bench press maximum, back squat maximum, and power clean maximum (p ≤ 0.05). Group 3 saw a significant

Utilitarian prioritization of radiation oncology patients based on maximization of population tumour control

International Nuclear Information System (INIS)

Ebert, M A; Li, W; Kearvell, R; Bydder, S; Jennings, L

2013-01-01

An objective method for establishing patient prioritization in the context of a radiotherapy waiting list is investigated. This is based on a utilitarian objective, being the greatest probability of local tumour control in the population of patients. A numerical simulation is developed and a clinical patient case-mix is used to determine the influence of the characteristics of the patient population on resulting optimal patient scheduling. With the utilitarian objective, large gains in tumour control probability (TCP) can be achieved for individuals or cohorts by prioritizing patients for that fraction of the patient population with relatively small sacrifices in TCP for a smaller fraction of the population. For a waiting list in steady state with five patients per day commencing treatment and leaving the list (and so with five patients per day entering the list), and a mean wait time of 35 days and a maximum of 90 days, optimized wait times ranged from a mean of one day for patients with tumour types with short effective doubling times to a mean of 66.9 days for prostate cancer patients. It is found that, when seeking the optimal daily order of patients on the waiting list in a constrained simulation, the relative rather than absolute value of TCP is the determinant of the resulting optimal waiting times. An increase in the mean waiting time mostly influences (increases) the optimal waiting times of patients with fast-growing tumours. The proportional representation of groups (separated by tumour type) in the patient population has an influence on the resulting distribution of optimal waiting times for patients in those groups, though has only a minor influence on the optimal mean waiting time for each group. (paper)

Utilitarian prioritization of radiation oncology patients based on maximization of population tumour control

Science.gov (United States)

Ebert, M. A.; Li, W.; Jennings, L.; Kearvell, R.; Bydder, S.

2013-06-01

An objective method for establishing patient prioritization in the context of a radiotherapy waiting list is investigated. This is based on a utilitarian objective, being the greatest probability of local tumour control in the population of patients. A numerical simulation is developed and a clinical patient case-mix is used to determine the influence of the characteristics of the patient population on resulting optimal patient scheduling. With the utilitarian objective, large gains in tumour control probability (TCP) can be achieved for individuals or cohorts by prioritizing patients for that fraction of the patient population with relatively small sacrifices in TCP for a smaller fraction of the population. For a waiting list in steady state with five patients per day commencing treatment and leaving the list (and so with five patients per day entering the list), and a mean wait time of 35 days and a maximum of 90 days, optimized wait times ranged from a mean of one day for patients with tumour types with short effective doubling times to a mean of 66.9 days for prostate cancer patients. It is found that, when seeking the optimal daily order of patients on the waiting list in a constrained simulation, the relative rather than absolute value of TCP is the determinant of the resulting optimal waiting times. An increase in the mean waiting time mostly influences (increases) the optimal waiting times of patients with fast-growing tumours. The proportional representation of groups (separated by tumour type) in the patient population has an influence on the resulting distribution of optimal waiting times for patients in those groups, though has only a minor influence on the optimal mean waiting time for each group.

Throughput centered prioritization of machines in transfer lines

Energy Technology Data Exchange (ETDEWEB)

Pascual, R., E-mail: rpascual@ing.puc.cl [Physical Asset Management Lab, Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Godoy, D. [Physical Asset Management Lab, Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Louit, D.M. [Komatsu Chile S.A., Av. Americo Vespucio 0631, Quilicura, Santiago (Chile)

2011-10-15

In an environment of scarce resources and complex production systems, prioritizing is key to confront the challenge of managing physical assets. In the literature, there exist a number of techniques to prioritize maintenance decisions that consider safety, technical and business perspectives. However, the effect of risk mitigating elements-such as intermediate buffers in production lines-on prioritization has not yet been investigated in depth. In this line, the work proposes a user-friendly graphical technique called the system efficiency influence diagram (SEID). Asset managers may use SEID to identify machines that have a greater impact on the system throughput, and thus set prioritized maintenance policies and/or redesign of buffers capacities. The tool provides insight to the analyst as it decomposes the influence of a given machine on the system throughput as a product of two elements: (1) system influence efficiency factor and (2) machine unavailability factor. We illustrate its applicability using three case studies: a four-machine transfer line, a vehicle assembly line, and an open-pit mining conveyor system. The results confirm that the machines with greater unavailability factors are not necessarily the most important for the efficiency of the production line, as it is the case when no intermediate buffers exist. As a decision aid tool, SEID emphasizes the need to move from a maintenance vision focused on machine availability, to a systems engineering perspective. - Highlights: > We propose a graphical technique to prioritize machines in production lines. > The tool is called 'system efficiency influence diagram' (SEID). > It helps setting prioritized maintenance policies and/or redesign of buffers. > The SEID technique focuses on system efficiency and throughput. > We illustrate its applicability using three case studies.

Air pollution and vulnerability: solving the puzzle of prioritization

CSIR Research Space (South Africa)

Wright, CY

2011-01-01

Full Text Available conditions exacerbates the problem. Air quality management plans identify prioritized strategies for improved air quality independent of consideration of vulnerability. A population exposure and vulnerability risk prioritization framework comprising five...

Are exposure predictions, used for the prioritization of pharmaceuticals in the environment, fit for purpose?

Science.gov (United States)

Burns, Emily E; Thomas-Oates, Jane; Kolpin, Dana W; Furlong, Edward T; Boxall, Alistair B A

2017-10-01

Prioritization methodologies are often used for identifying those pharmaceuticals that pose the greatest risk to the natural environment and to focus laboratory testing or environmental monitoring toward pharmaceuticals of greatest concern. Risk-based prioritization approaches, employing models to derive exposure concentrations, are commonly used, but the reliability of these models is unclear. The present study evaluated the accuracy of exposure models commonly used for pharmaceutical prioritization. Targeted monitoring was conducted for 95 pharmaceuticals in the Rivers Foss and Ouse in the City of York (UK). Predicted environmental concentration (PEC) ranges were estimated based on localized prescription, hydrological data, reported metabolism, and wastewater treatment plant (WWTP) removal rates, and were compared with measured environmental concentrations (MECs). For the River Foss, PECs, obtained using highest metabolism and lowest WWTP removal, were similar to MECs. In contrast, this trend was not observed for the River Ouse, possibly because of pharmaceutical inputs unaccounted for by our modeling. Pharmaceuticals were ranked by risk based on either MECs or PECs. With 2 exceptions (dextromethorphan and diphenhydramine), risk ranking based on both MECs and PECs produced similar results in the River Foss. Overall, these findings indicate that PECs may well be appropriate for prioritization of pharmaceuticals in the environment when robust and local data on the system of interest are available and reflective of most source inputs. Environ Toxicol Chem 2017;36:2823-2832. © 2017 SETAC. © 2017 SETAC.

Effects of preference heterogeneity among landowners on spatial conservation prioritization

DEFF Research Database (Denmark)

Nielsen, Anne Sofie Elberg; Strange, Niels; Bruun, Hans Henrik

2017-01-01

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...... 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....

Prioritized Abduction with CHR

DEFF Research Database (Denmark)

Christiansen, Henning

2008-01-01

A class of Prioritized Abductive Logic Programs (PrioALPs) is introduced and an implementation is developed in CHR for solving abductive problems, providing minimal explanations with best-first search. Priorities may represent probabilities or a cost function to be optimized. Compared with other...

Prioritization of Companion Animal Transmissible Diseases for Policy Intervention in Europe.

Science.gov (United States)

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

Who prefers the 'cost-effectiveness ratio' prioritization approach in health-care decisions? Results of an empirical analysis.

Science.gov (United States)

Damm, Kathrin; Prenzler, Anne; Zuchandke, Andy

2015-12-01

The problem of resource scarcity has led to an on-going debate about priority setting in the health-care system. Prioritization via the economic-based cost-effectiveness ratio (CER), for example, is controversial and has many advocates as well as opponents. Hence, the aim of our research is to analyse the fairness consideration of the CER approach in comparison with other prioritization approaches and to investigate whether these preferences depend on the field of study. We developed and tested a unique questionnaire. Between October 2011 and January 2012, freshmen and advanced university students of medicine, law, economics, philosophy and religion in Germany were asked to choose among four prioritization approaches (CER, minimum health, random selection and age) using a dichotomous choice technique. The data were analysed by descriptive and microeconometric regression techniques. Data on 913 students were included in the study. A majority of the students prioritized cost-effectiveness second after minimum health. Advanced economics students preferred the CER approach significantly more than did incoming economics students. The attitudes of the advanced philosophy/religion students towards the CER were significantly more negative compared with the respective freshmen. Further, gender had a strong, significant impact on attitudes: women chose the CER less often than men did (P < 0.01). The results of this study indicate that attitudes presented by opinion leaders in the investigated fields of study seem to be in line with the perceptions of the respective fields' advanced students. Because of these differences, the debate on how to deal with scarce resources may remain complicated. © 2014 John Wiley & Sons Ltd.

Prioritization of motor operated valves based on risk importances

International Nuclear Information System (INIS)

Vesely, W.E.; Weidenhamer, G.H.

1994-01-01

The plant Probabilistic Risk Assessment (PRA) can be a potentially useful and powerful tool for helping to define an effective response to GL 89-10. The plant PRA can be used to prioritize the Motor Operated Valves (MOV) dynamic test. The plant PRA can also be used to determine test schedules for the MOVs. In order for the PRA to be validly used to respond to GL 89-10, various issues need to be validly addressed. Eleven issues are specifically identified and responses to these issues are outlined. The issues of joint MOV importance, PRA truncation, and validation of the proposed approach are specifically highlighted and more detailed response considerations are described. As in all PRA applications, sensitivity studies and uncertainty considerations should be incorporated in the PRA evaluations. 4 refs, 3 tabs

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

Science.gov (United States)

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.

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

Science.gov (United States)

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…

The dilemma in prioritizing chemicals for environmental analysis: known versus unknown hazards.

Science.gov (United States)

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.

Interest in Collaborative, Practice-Based Research Networks in Pediatric Refugee Health Care.

Science.gov (United States)

Shah, Sural; Yun, Katherine

2018-02-01

Over the last decade, approximately 200,000 refugee children have resettled across the United States. This population is dispersed, resulting in limited data. Collaborative research networks, where clinicians across distinct practice sites work together to answer research questions, can improve the evidence base regarding clinical care. We distributed a web-based survey to pediatric refugee providers around North America to assess priorities, perceived barriers and benefits to collaborative research. We recruited 57 participants. Of respondents, 89 % were interested in collaborative research, prioritizing: (1) access to health care (33 %), (2) mental health (24 %) and (3) nutrition/growth (24 %). Perceived benefits were "improving clinical practice" (98 %) and "raising awareness about the needs of pediatric refugees" (94 %). Perceived barriers were "too many other priorities" (89 %) and "lack of funding for data entry" (78 %). There is widespread interest in collaborative networks around pediatric refugee healthcare. A successful network will address barriers and emphasize priorities.

Throughput centered prioritization of machines in transfer lines

International Nuclear Information System (INIS)

Pascual, R.; Godoy, D.; Louit, D.M.

2011-01-01

In an environment of scarce resources and complex production systems, prioritizing is key to confront the challenge of managing physical assets. In the literature, there exist a number of techniques to prioritize maintenance decisions that consider safety, technical and business perspectives. However, the effect of risk mitigating elements-such as intermediate buffers in production lines-on prioritization has not yet been investigated in depth. In this line, the work proposes a user-friendly graphical technique called the system efficiency influence diagram (SEID). Asset managers may use SEID to identify machines that have a greater impact on the system throughput, and thus set prioritized maintenance policies and/or redesign of buffers capacities. The tool provides insight to the analyst as it decomposes the influence of a given machine on the system throughput as a product of two elements: (1) system influence efficiency factor and (2) machine unavailability factor. We illustrate its applicability using three case studies: a four-machine transfer line, a vehicle assembly line, and an open-pit mining conveyor system. The results confirm that the machines with greater unavailability factors are not necessarily the most important for the efficiency of the production line, as it is the case when no intermediate buffers exist. As a decision aid tool, SEID emphasizes the need to move from a maintenance vision focused on machine availability, to a systems engineering perspective. - Highlights: → We propose a graphical technique to prioritize machines in production lines. → The tool is called 'system efficiency influence diagram' (SEID). → It helps setting prioritized maintenance policies and/or redesign of buffers. → The SEID technique focuses on system efficiency and throughput. → We illustrate its applicability using three case studies.

Prioritizing land and sea conservation investments to protect coral reefs.

Science.gov (United States)

Klein, Carissa J; Ban, Natalie C; Halpern, Benjamin S; Beger, Maria; Game, Edward T; Grantham, Hedley S; Green, Alison; Klein, Travis J; Kininmonth, Stuart; Treml, Eric; Wilson, Kerrie; Possingham, Hugh P

2010-08-30

Coral reefs have exceptional biodiversity, support the livelihoods of millions of people, and are threatened by multiple human activities on land (e.g. farming) and in the sea (e.g. overfishing). Most conservation efforts occur at local scales and, when effective, can increase the resilience of coral reefs to global threats such as climate change (e.g. warming water and ocean acidification). Limited resources for conservation require that we efficiently prioritize where and how to best sustain coral reef ecosystems. Here we develop the first prioritization approach that can guide regional-scale conservation investments in land- and sea-based conservation actions that cost-effectively mitigate threats to coral reefs, and apply it to the Coral Triangle, an area of significant global attention and funding. Using information on threats to marine ecosystems, effectiveness of management actions at abating threats, and the management and opportunity costs of actions, we calculate the rate of return on investment in two conservation actions in sixteen ecoregions. We discover that marine conservation almost always trumps terrestrial conservation within any ecoregion, but terrestrial conservation in one ecoregion can be a better investment than marine conservation in another. We show how these results could be used to allocate a limited budget for conservation and compare them to priorities based on individual criteria. Previous prioritization approaches do not consider both land and sea-based threats or the socioeconomic costs of conserving coral reefs. A simple and transparent approach like ours is essential to support effective coral reef conservation decisions in a large and diverse region like the Coral Triangle, but can be applied at any scale and to other marine ecosystems.

Setting research priorities in tobacco control: a stakeholder engagement project.

Science.gov (United States)

Lindson, Nicola; Richards-Doran, Dan; Heath, Laura; Hartmann-Boyce, Jamie

2017-12-01

questions in the field of tobacco control. Stakeholders highlighted electronic cigarettes, addressing inequalities and mental health and other substance abuse as key areas for further research, and efficacy, relative efficacy, cost-effectiveness and use of non-randomized studies as important themes cutting across research areas. Future prioritization work would benefit from targeting non-US and non-UK stakeholders explicitly and from examining where priorities may differ based on stakeholder group. © 2017 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

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

Science.gov (United States)

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

Prioritizing chemicals and data requirements for screening-level exposure and risk assessment.

Science.gov (United States)

Arnot, Jon A; Brown, Trevor N; Wania, Frank; Breivik, Knut; McLachlan, Michael S

2012-11-01

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. 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. 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. 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. 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.

Comprehensive Evidence-Based Assessment and Prioritization of Potential Antidiabetic Medicinal Plants: A Case Study from Canadian Eastern James Bay Cree Traditional Medicine

Directory of Open Access Journals (Sweden)

Pierre S. Haddad

2012-01-01

Full Text Available Canadian Aboriginals, like others globally, suffer from disproportionately high rates of diabetes. A comprehensive evidence-based approach was therefore developed to study potential antidiabetic medicinal plants stemming from Canadian Aboriginal Traditional Medicine to provide culturally adapted complementary and alternative treatment options. Key elements of pathophysiology of diabetes and of related contemporary drug therapy are presented to highlight relevant cellular and molecular targets for medicinal plants. Potential antidiabetic plants were identified using a novel ethnobotanical method based on a set of diabetes symptoms. The most promising species were screened for primary (glucose-lowering and secondary (toxicity, drug interactions, complications antidiabetic activity by using a comprehensive platform of in vitro cell-based and cell-free bioassays. The most active species were studied further for their mechanism of action and their active principles identified though bioassay-guided fractionation. Biological activity of key species was confirmed in animal models of diabetes. These in vitro and in vivo findings are the basis for evidence-based prioritization of antidiabetic plants. In parallel, plants were also prioritized by Cree Elders and healers according to their Traditional Medicine paradigm. This case study highlights the convergence of modern science and Traditional Medicine while providing a model that can be adapted to other Aboriginal realities worldwide.

Consequence Prioritization Process for Potential High Consequence Events (HCE)

Energy Technology Data Exchange (ETDEWEB)

Freeman, Sarah G. [Idaho National Lab. (INL), Idaho Falls, ID (United States)

2016-10-31

This document describes the process for Consequence Prioritization, the first phase of the Consequence-Driven Cyber-Informed Engineering (CCE) framework. The primary goal of Consequence Prioritization is to identify potential disruptive events that would significantly inhibit an organization’s ability to provide the critical services and functions deemed fundamental to their business mission. These disruptive events, defined as High Consequence Events (HCE), include both events that have occurred or could be realized through an attack of critical infrastructure owner assets. While other efforts have been initiated to identify and mitigate disruptive events at the national security level, such as Presidential Policy Directive 41 (PPD-41), this process is intended to be used by individual organizations to evaluate events that fall below the threshold for a national security. Described another way, Consequence Prioritization considers threats greater than those addressable by standard cyber-hygiene and includes the consideration of events that go beyond a traditional continuity of operations (COOP) perspective. Finally, Consequence Prioritization is most successful when organizations adopt a multi-disciplinary approach, engaging both cyber security and engineering expertise, as in-depth engineering perspectives are required to recognize and characterize and mitigate HCEs. Figure 1 provides a high-level overview of the prioritization process.

Ecoregion prioritization suggests an armoury not a silver bullet for conservation planning.

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Stephan M Funk

Full Text Available In the face of accelerating species extinctions, map-based prioritization systems are increasingly useful to decide where to pursue conservation action most effectively. However, a number of seemingly inconsistent schemes have emerged, mostly focussing on endemism. Here we use global vertebrate distributions in terrestrial ecoregions to evaluate how continuous and categorical ranking schemes target and accumulate endangered taxa within the IUCN Red List, Alliance for Zero Extinction (AZE, and EDGE of Existence programme. We employed total, endemic and threatened species richness and an estimator for richness-adjusted endemism as metrics in continuous prioritization, and WWF's Global200 and Conservation International's (CI Hotspots in categorical prioritization. Our results demonstrate that all metrics target endangerment more efficiently than by chance, but each selects unique sets of top-ranking ecoregions, which overlap only partially, and include different sets of threatened species. Using the top 100 ecoregions as defined by continuous prioritization metrics, we develop an inclusive map for global vertebrate conservation that incorporates important areas for endemism, richness, and threat. Finally, we assess human footprint and protection levels within these areas to reveal that endemism sites are more impacted but have more protection, in contrast to high richness and threat ones. Given such contrasts, major efforts to protect global biodiversity must involve complementary conservation approaches in areas of unique species as well as those with highest diversity and threat.

Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules

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Ettore Mosca

2017-09-01

Full Text Available Autism spectrum disorder (ASD is marked by a strong genetic heterogeneity, which is underlined by the low overlap between ASD risk gene lists proposed in different studies. In this context, molecular networks can be used to analyze the results of several genome-wide studies in order to underline those network regions harboring genetic variations associated with ASD, the so-called “disease modules.” In this work, we used a recent network diffusion-based approach to jointly analyze multiple ASD risk gene lists. We defined genome-scale prioritizations of human genes in relation to ASD genes from multiple studies, found significantly connected gene modules associated with ASD and predicted genes functionally related to ASD risk genes. Most of them play a role in synapsis and neuronal development and function; many are related to syndromes that can be in comorbidity with ASD and the remaining are involved in epigenetics, cell cycle, cell adhesion and cancer.

Prioritizing land and sea conservation investments to protect coral reefs.

Directory of Open Access Journals (Sweden)

Carissa J Klein

Full Text Available BACKGROUND: Coral reefs have exceptional biodiversity, support the livelihoods of millions of people, and are threatened by multiple human activities on land (e.g. farming and in the sea (e.g. overfishing. Most conservation efforts occur at local scales and, when effective, can increase the resilience of coral reefs to global threats such as climate change (e.g. warming water and ocean acidification. Limited resources for conservation require that we efficiently prioritize where and how to best sustain coral reef ecosystems. METHODOLOGY/PRINCIPAL FINDINGS: Here we develop the first prioritization approach that can guide regional-scale conservation investments in land- and sea-based conservation actions that cost-effectively mitigate threats to coral reefs, and apply it to the Coral Triangle, an area of significant global attention and funding. Using information on threats to marine ecosystems, effectiveness of management actions at abating threats, and the management and opportunity costs of actions, we calculate the rate of return on investment in two conservation actions in sixteen ecoregions. We discover that marine conservation almost always trumps terrestrial conservation within any ecoregion, but terrestrial conservation in one ecoregion can be a better investment than marine conservation in another. We show how these results could be used to allocate a limited budget for conservation and compare them to priorities based on individual criteria. CONCLUSIONS/SIGNIFICANCE: Previous prioritization approaches do not consider both land and sea-based threats or the socioeconomic costs of conserving coral reefs. A simple and transparent approach like ours is essential to support effective coral reef conservation decisions in a large and diverse region like the Coral Triangle, but can be applied at any scale and to other marine ecosystems.

Prioritization of candidate disease genes by topological similarity between disease and protein diffusion profiles.

Science.gov (United States)

Zhu, Jie; Qin, Yufang; Liu, Taigang; Wang, Jun; Zheng, Xiaoqi

2013-01-01

Identification of gene-phenotype relationships is a fundamental challenge in human health clinic. Based on the observation that genes causing the same or similar phenotypes tend to correlate with each other in the protein-protein interaction network, a lot of network-based approaches were proposed based on different underlying models. A recent comparative study showed that diffusion-based methods achieve the state-of-the-art predictive performance. In this paper, a new diffusion-based method was proposed to prioritize candidate disease genes. Diffusion profile of a disease was defined as the stationary distribution of candidate genes given a random walk with restart where similarities between phenotypes are incorporated. Then, candidate disease genes are prioritized by comparing their diffusion profiles with that of the disease. Finally, the effectiveness of our method was demonstrated through the leave-one-out cross-validation against control genes from artificial linkage intervals and randomly chosen genes. Comparative study showed that our method achieves improved performance compared to some classical diffusion-based methods. To further illustrate our method, we used our algorithm to predict new causing genes of 16 multifactorial diseases including Prostate cancer and Alzheimer's disease, and the top predictions were in good consistent with literature reports. Our study indicates that integration of multiple information sources, especially the phenotype similarity profile data, and introduction of global similarity measure between disease and gene diffusion profiles are helpful for prioritizing candidate disease genes. Programs and data are available upon request.

ALIGNING INFORMATION SECURITY WITH THE IMAGE OF THE ORGANIZATION AND PRIORITIZATION BASED ON FUZZY LOGIC FOR THE INDUSTRIAL AUTOMATION SECTOR

Directory of Open Access Journals (Sweden)

Adolfo Alberto Vanti

2011-12-01

Full Text Available This paper develops the strategic alignment of organizational behavior through the organizations´ image, prioritization and information security practices. To this end, information security is studied based on the business requirements of confidentiality, integrity and availability by applying a tool which integrates the strategic, tactical and operational vision through the following framework: Balanced Scorecard - BSC (strategic x Control Objectives for Information and Related Technology - COBIT (tactical x International Organization for Standardization - ISO/International Electro Technical Commission - IEC27002 (operational. Another image instrument of the organization is applied in parallel with this analysis to identify and analyze performance involving profiles related to mechanistic, psychic prisons, political systems, instruments of domination, organisms, cybernetics, flux and transformation (MORGAN, 1996. Finally, a model of strategic prioritization, based on compensatory fuzzy logic (ESPIN and VANTI, 2005, is applied. The method was applied to an industrial company located in southern Brazil. The results with the application show two organizational images: "organism" and "flux and transformation ". The strategic priorities indicated a significant search for new business services and international markets. Regarding protection of information, security found the gap between "minimum" and "Reasonable" and in domain 8 (HR of standard ISO/IEC27002, considered 71% protection as "inappropriate" and "minimal" in the IT Governance context.

A Delphi study on research priorities in radiation therapy: The Norwegian perspective

International Nuclear Information System (INIS)

Egestad, H.; Halkett, G.K.B.

2016-01-01

Introduction: Although radiation therapists (RTs) need to engage more in research to establish an evidence base for their daily practice the majority conduct little research themselves. This project is the second stage of a Delphi process aimed at determining research priorities in radiation therapy in Norway. The aim of this article is to prioritize the research areas radiation therapists in Norway think are most important in their own profession. Methods: A questionnaire was administered using responses to a previous questionnaire, which identified the research interests of Norwegian RTs. The survey was sent to all Norwegian departments of radiation oncology, and RTs were asked to form interest groups to discuss and prioritize the research areas. Results: There was a 70% response rate, seven of 10 departments participated. The highest ranked research categories were imaging in radiation therapy and radiation therapist education. Seven of the top ten ranked research areas were in these categories. Conclusion: Prioritization of research areas and categories provides a useful list of future research for Norwegian RTs, which will enable them to decide whether their research ideas are a high priority, and spend less time deciding on a relevant research topic that needs investigation in their own workplaces. - Highlights: • Norwegian RTs prioritize research about performing their professional practice. • Main points of research interests are about new techniques and competence. • The top ten are about treatment plan, doses, safety and relationship with patients. • Prioritization of research areas provides a useful list of future research.

Economic Functions Proposal of Urgency Prioritization of Investment Projects of Operated Railway Bridges

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Pitoňák Martin

2014-12-01

Full Text Available The main objective of the article is to describe the proposals of economic functions within the prioritization of urgency investments of operated railway bridges within a comprehensive evaluation of existing bridges. The purpose of the paper is a comprehensive assessment of existing bridges and to define determinants and determinants of decision-making and designing a mechanism of decision-making procedures of prioritized infrastructure measures in the form of repairs and reconstructions of bridges resulting from the records of supervising activities based not only on technical but also economic aspects to the railway infrastructure manager.

Contextual Requirements Prioritization and its Application to Smart Homes

NARCIS (Netherlands)

Sernani, Paolo; Dragoni, Aldo Franco; Serral, Estefanía; Dalpiaz, Fabiano

2017-01-01

When many requirements co-exist for a given system, prioritization is essential to determine which ones have higher priority. While the basic prioritization algorithms result in a total or partial order of the requirements, it is often the case that the priority of the requirements depends on the

Identification and Prioritization of “Black Spots” without Using Accident Information

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Mahmoudreza Keymanesh

2017-01-01

Full Text Available It is attempted to identify and prioritize the accident prone points (black spots in “Iraanshahr-Sarbaaz-Chabahar” road located in Baluchistan, Iran, without no use of accident data but rather using Analytic Hierarchy Process (AHP, which is the enhanced procedure of road safety audit technique. First, by surveying the whole route, all factors that could influence accidents in this road were specified; then the route was divided into eight sections; this division was performed based on the uniformity and homogeny of each section in terms of geometric design and regional conditions. In each section, potentially hazardous locations were identified and some questionnaires were prepared, which were filled by 5 road traffic experts familiar with the route; then the collected data were analyzed by Analytical Hierarchy Process (AHP using Expert Choice Software and the black spots were identified and prioritized. Finally, these black spots were compared with the black spots that had been obtained by traffic police based on accident data.

Modeling and prioritizing demand response programs in power markets

International Nuclear Information System (INIS)

Aalami, H.A.; Moghaddam, M. Parsa; Yousefi, G.R.

2010-01-01

One of the responsibilities of power market regulator is setting rules for selecting and prioritizing demand response (DR) programs. There are many different alternatives of DR programs for improving load profile characteristics and achieving customers' satisfaction. Regulator should find the optimal solution which reflects the perspectives of each DR stakeholder. Multi Attribute Decision Making (MADM) is a proper method for handling such optimization problems. In this paper, an extended responsive load economic model is developed. The model is based on price elasticity and customer benefit function. Prioritizing of DR programs can be realized by means of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. Considerations of ISO/utility/customer regarding the weighting of attributes are encountered by entropy method. An Analytical Hierarchy Process (AHP) is used for selecting the most effective DR program. Numerical studies are conducted on the load curve of the Iranian power grid in 2007. (author)

A weight restricted DEA model for FMEA risk prioritization

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Pauli Adriano de Almada Garcia

2012-01-01

Full Text Available In this paper we present a linear programming (LP approach to risk prioritization in failure mode and effects analysis (FMEA. The LP is a data envelopment analysis (DEA-based model considering weight restriction. In a FMEA, we commonly consider three criteria to prioritize the failure modes, occurrence, severity and detectability. These criteria are in an ordinal scale commonly varying from 1 to 10, higher the figure worse the result. Considering the values established for each criteria, in traditional FMEA one adopts a Risk Priority Number, calculated considering the product of criteria, which has been very criticized due to its shortcoming. Through the proposed approach a frontier is established considering the less critical failure modes. Considering this frontier, one can establish how much each failure mode must be improved to become relatively acceptable. A simplified case concerning an AFWS of a two loops PWR power plant is presented to shows the applicability of the proposed approach.

Condensed summary of the systems prioritization method as a decision-aiding approach for the Waste Isolation Pilot Plant

International Nuclear Information System (INIS)

Boak, D.M.; Prindle, N.H.; Lincoln, R.

1997-01-01

In March 1994, the US Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance based decision-aiding method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) project. The prioritization was with respect to 40 CFR Part 191.13(a) and 40 CFR part 268.6. U.S. Environmental Protection Agency (EPA) requirements for long-term isolation of radioactive and hazardous wastes. The Systems Prioritization Method (SPM), was designed by Sandia National Laboratories to: (1) identify programmatic options (activities), their costs and durations; (2) analyze combinations of activities in terms of their predicted contribution to long-term performance of the WIPP disposal system; and (3) analyze cost, duration, and performance tradeoffs. SPM results were the basis for activities recommended to DOE/CAO in May 1995. SPM identified eight activities (less than 15% of the 58 proposed for consideration) predicted to be essential in addressing key regulatory issues. The SPM method proved useful for risk or performance-based prioritization in which options are interdependent and system behavior is nonlinear. 10 refs., 2 figs., 1 tab

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

Science.gov (United States)

To proceed in the investigation of potential effects of thousands of active pharmaceutical ingredients (API) which may enter the aquatic environment, a cohesive research strategy, specifically a prioritization is paramount. API are biologically active, with specific physiologica...

Prioritization of manufacturing sectors in Serbia for energy management improvement – AHP method

International Nuclear Information System (INIS)

Jovanović, Bojana; Filipović, Jovan; Bakić, Vukman

2015-01-01

Highlights: • We used AHP method to prioritize manufacturing sectors in Serbia. • Priorities for energy management improvement according to five criteria. • Rank 1 – “Manufacture of food products”. • Rank 2 – “Manufacture of motor vehicles, trailers and semi-trailers”. • Rank 3 – “Manufacture of other non-metallic mineral products”. - Abstract: Manufacturing, which is destined to play the most significant role in the reindustrialization of Serbia is also one of the largest energy consumers and environmental polluters. In accordance with this, a large number of energy and environment management initiatives have been implemented over the years. In developed countries, these initiatives are at an advanced level, but not in Serbia. A group of manufacturers in Serbia has recognized the significance of the environmental initiatives implementation, but the interest in energy management improvement has remained low. Although these initiatives can be used to achieve cost reduction in industry, not all the manufacturing sectors equally value the importance of energy management improvement. Among all the manufacturing sectors, it is necessary to prioritize those with the potentials for energy management improvement, which can be done using different methods. In this paper, the AHP (Analytic Hierarchy Process) method was used to prioritize manufacturing sectors in Serbia in the area of energy management improvement. Using a created AHP questionnaires criteria weights were selected. These questionnaires were completed by the experts from the Serbian Chamber of Commerce and Industry, providing us with the opportunity to evaluate the Serbian manufacturing sectors based on the real life data. The results of the AHP method, which was used as the prioritization instrument, and their analysis are presented in the paper. As a part of a wider study, aimed at the improvement of the energy management in Serbia, the three manufacturing sectors with the highest

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

Science.gov (United States)

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.

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

Directory of Open Access Journals (Sweden)

Mary Qu Yang

Full Text Available 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. Keywords: ccRCC, Causative mutation, Pathways, Protein-protein interaction, Gene module, eQTL

Research priorities in mobile learning: An international Delphi study / Les priorités de recherche en matière d'apprentissage mobile: Une étude de Delphes internationale

Directory of Open Access Journals (Sweden)

Yu-Chang Hsu

2014-05-01

Full Text Available Along with advancing mobile technologies and proliferating mobile devices and applications, mobile learning research has gained great momentum in recent years. While there have been review articles summarizing past research, studies identifying mobile learning research priorities based on experts’ latest insights have been lacking. This study employed the Delphi method to obtain a consensus from experts about areas that are most in need of research in mobile learning. An international expert panel participated in a three-round Delphi process involving two cycles of online questionnaires and feedback reports. Participants responded to the question, “What should be the research priorities for the field of mobile learning over the next 5 years?” Ten research categories were identified and ranked in order of priority: 1 teaching and learning strategies; 2 affordances; 3 theory; 4 settings of learning; 5 evaluation/assessment; 6 learners; 7 mobile technologies and interface design; 8 context awareness and augmented reality; 9 infrastructure and management; and 10 country and digital divide. This study also reported expert-generated research statements for each research category and the importance of these research statements rated by the experts. Selected research papers were summarized to help contextualize the discussions of research categories and statements. Avec l'avancement des technologies mobiles et la prolifération des appareils mobiles et des applications, la recherche consacrée à l'apprentissage mobile a récemment pris de l’ampleur. Si des articles ont résumé les recherches antérieures, les études s’appuyant sur les dernières connaissances d'experts pour identifier les priorités de recherche sur l'apprentissage mobile font défaut. La présente étude a utilisé la méthode de Delphes pour obtenir un consensus des experts sur les domaines nécessitant le plus des recherches sur l'apprentissage mobile. Un groupe

Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS.

Science.gov (United States)

Markose, Vipin Joseph; Jayappa, K S

2016-04-01

Most of the mountainous regions in tropical humid climatic zone experience severe soil loss due to natural factors. In the absence of measured data, modeling techniques play a crucial role for quantitative estimation of soil loss in such regions. The objective of this research work is to estimate soil loss and prioritize the sub-watersheds of Kali River basin using Revised Universal Soil Loss Equation (RUSLE) model. Various thematic layers of RUSLE factors such as rainfall erosivity (R), soil erodibility (K), topographic factor (LS), crop management factor (C), and support practice factor (P) have been prepared by using multiple spatial and non-spatial data sets. These layers are integrated in geographic information system (GIS) environment and estimated the soil loss. The results show that ∼42 % of the study area falls under low erosion risk and only 6.97 % area suffer from very high erosion risk. Based on the rate of soil loss, 165 sub-watersheds have been prioritized into four categories-very high, high, moderate, and low erosion risk. Anthropogenic activities such as deforestation, construction of dams, and rapid urbanization are the main reasons for high rate of soil loss in the study area. The soil erosion rate and prioritization maps help in implementation of a proper watershed management plan for the river basin.

A study on prioritizing typical women’s entrepreneur characteristics

Directory of Open Access Journals (Sweden)

Ebrahim Ramezani

2014-07-01

Full Text Available Entrepreneurship is one of the main pivot of progress and growth of every country. The spread of entrepreneurship particularly the role of women in this category has speeded up today more than any other times. Many of researchers believe that attention to women entrepreneurship plays remarkable role in soundness and safety of nation’s economy. Maybe in Iran less attention has been paid to this matter in proportion to other countries and due to various reasons, there are not many entrepreneur woman. However, employing typical entrepreneur women in various fields of productivity, industrial, commercial, social and cultural and even higher than these, in country’s political issue proves that women’s role is magnificent and in many cases they enjoy higher abilities in portion to men. In this paper, using additive ratio assessment (ARAS as a prioritizing method, eleven entrepreneur women were chosen for prioritizing criteria for measuring a typical women’s entrepreneurship characteristics. The results show that the balance between work and family among criteria are propounded as the highest weight and fulfilling different jobs simultaneously as the lowest weight.

Use of Threshold of Toxicological Concern (TTC) with High Throughput Exposure Predictions as a Risk-Based Screening Approach to Prioritize More Than Seven Thousand Chemicals (ASCCT)

Science.gov (United States)

Here, we present results of an approach for risk-based prioritization using the Threshold of Toxicological Concern (TTC) combined with high-throughput exposure (HTE) modelling. We started with 7968 chemicals with calculated population median oral daily intakes characterized by an...

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

Science.gov (United States)

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.

Preventive maintenance prioritization index of medical equipment using quality function deployment.

Science.gov (United States)

Saleh, Neven; Sharawi, Amr A; Elwahed, Manal Abd; Petti, Alberto; Puppato, Daniele; Balestra, Gabriella

2015-05-01

Preventive maintenance is a core function of clinical engineering, and it is essential to guarantee the correct functioning of the equipment. The management and control of maintenance activities are equally important to perform maintenance. As the variety of medical equipment increases, accordingly the size of maintenance activities increases, the need for better management and control become essential. This paper aims to develop a new model for preventive maintenance priority of medical equipment using quality function deployment as a new concept in maintenance of medical equipment. We developed a three-domain framework model consisting of requirement, function, and concept. The requirement domain is the house of quality matrix. The second domain is the design matrix. Finally, the concept domain generates a prioritization index for preventive maintenance considering the weights of critical criteria. According to the final scores of those criteria, the prioritization action of medical equipment is carried out. Our model proposes five levels of priority for preventive maintenance. The model was tested on 200 pieces of medical equipment belonging to 17 different departments of two hospitals in Piedmont province, Italy. The dataset includes 70 different types of equipment. The results show a high correlation between risk-based criteria and the prioritization list.

mirVAFC: A Web Server for Prioritizations of Pathogenic Sequence Variants from Exome Sequencing Data via Classifications.

Science.gov (United States)

Li, Zhongshan; Liu, Zhenwei; Jiang, Yi; Chen, Denghui; Ran, Xia; Sun, Zhong Sheng; Wu, Jinyu

2017-01-01

Exome sequencing has been widely used to identify the genetic variants underlying human genetic disorders for clinical diagnoses, but the identification of pathogenic sequence variants among the huge amounts of benign ones is complicated and challenging. Here, we describe a new Web server named mirVAFC for pathogenic sequence variants prioritizations from clinical exome sequencing (CES) variant data of single individual or family. The mirVAFC is able to comprehensively annotate sequence variants, filter out most irrelevant variants using custom criteria, classify variants into different categories as for estimated pathogenicity, and lastly provide pathogenic variants prioritizations based on classifications and mutation effects. Case studies using different types of datasets for different diseases from publication and our in-house data have revealed that mirVAFC can efficiently identify the right pathogenic candidates as in original work in each case. Overall, the Web server mirVAFC is specifically developed for pathogenic sequence variant identifications from family-based CES variants using classification-based prioritizations. The mirVAFC Web server is freely accessible at https://www.wzgenomics.cn/mirVAFC/. © 2016 WILEY PERIODICALS, INC.

Evidence-based approach to HIV/AIDS policy and research prioritization in the Islamic Republic of Iran.

Science.gov (United States)

Feizzadeh, A; Nedjat, S; Asghari, S; Keshtkar, A; Heshmat, R; Setayesh, H; Majdzadeh, R

2010-03-01

In formulating the second national strategic plan for prevention of HIV/AIDS in the Islamic Republic of Iran a more evidence-based approach was needed. This paper reports on a systematic review of the local evidence about the determinants of HIV/AIDS transmission in 3 categories: poor knowledge and negative attitudes about HIV transmission; injection drug use; and sexual promiscuity. Of 93 reports reviewed, 53 met the inclusion criteria. Information about the prevalence and magnitude of effect for the 3 risk determinants at the national and regional level was scarce. Heterogeneity between studies, even in the same sub-population, was significant. An improved research base and better sharing of information are needed within countries of the Eastern Mediterranean Region.

Costs of Quality: Exploratory Analysis of Hidden Elements and Prioritization using Analytic Hierarchy Process

Directory of Open Access Journals (Sweden)

Sailaja A

2015-02-01

Full Text Available Cost of Quality analysis is emerged as an effective tool for the industrial managers for pinpointing the deficiencies in the system as well as for identifying the improvement areas by highlighting the cost reduction opportunities. However , this analysis will be fully effective only if it is further extended to identify the cost incurred in ensuring quality in all areas of the supply chain including the hidden costs and costs of missed out opportunities. Most of the hidden elements of quality costs are difficult to track and not accounted by the traditional accounting tools. An exploratory analysis is made in this research to identify the hidden elements of quality costs in manufacturing industry. Further, the identified cost elements are classified into various groups for better analysis and, finally, prioritized to identify the vital few among them. Analytic Hierarchy Process (AHP technique which is one of the most popular Multi Criteria Decision Method (MCDM and Pareto analysis were used in this study for prioritizing the hidden quality cost elements based on their degree of impact on overall cost of quality. By this analysis, the key cost elements which are to be addressed to reduce the overall cost of quality are identified.

A Sustainability Assessment Methodology for Prioritizing the Technologies of Groundwater Contamination Remediation

DEFF Research Database (Denmark)

An, Da; Xi, Beidou; Wang, Yue

2016-01-01

More and more groundwater has 23 been polluted recently, and technologies for groundwater contamination remediation are of vital importance; however, it is usually difficult for the users to select the most suitable technology among multiple alternatives. In order to address this, this study aims...... at developing a sustainability assessment framework for prioritizing the technologies for groundwater contamination remediation by combining the concept of sustainability and multi-criteria decision making (MCDM) method. A criterion system which consists of six criteria in three aspects has been proposed...... for sustainability assessment of technologies for groundwater contamination remediation, and a novel MCDM method by combining the logarithmic fuzzy preference programming based fuzzy analytic hierarchy process and the improved ELECTRE method has been developed for prioritizing the alternatives. In order...

Prioritizing health services research: an economic perspective.

Science.gov (United States)

Gandjour, Afschin

2016-05-01

Given limited resources policymakers need to decide about how much and in what areas of health services research (HSR) to invest. The purpose of this study is to provide guidance for priority setting of HSR projects based on economic theory. The conceptual analysis starts from the premise that competition in health care is valuable-a position that seems to predominate among Western policymakers. The principle of competition rests on economic theory and, in particular, its branch of welfare economics. Based on economic theory, the role of HSR is to detect and alleviate information asymmetry, negative externalities, and harm caused by competition and inappropriate incentives for competition. A hierarchy of HSR projects is provided; following the ethical principle of harm ('do not harm'), the detection and prevention of harm would receive highest priority among HSR projects. Agreeing that competition is valuable in achieving efficiency and quality of care (and therefore agreeing to the assumptions of economic theory) implies accepting the role of HSR in detecting market failure and the HSR hierarchy as suggested. Disagreement would require an alternative coherent concept of improving efficiency and quality of care.

Effect of risk aversion on prioritizing conservation projects.

Science.gov (United States)

Tulloch, Ayesha I T; Maloney, Richard F; Joseph, Liana N; Bennett, Joseph R; Di Fonzo, Martina M I; Probert, William J M; O'Connor, Shaun M; Densem, Jodie P; Possingham, Hugh P

2015-04-01

Conservation outcomes are uncertain. Agencies making decisions about what threat mitigation actions to take to save which species frequently face the dilemma of whether to invest in actions with high probability of success and guaranteed benefits or to choose projects with a greater risk of failure that might provide higher benefits if they succeed. The answer to this dilemma lies in the decision maker's aversion to risk--their unwillingness to accept uncertain outcomes. Little guidance exists on how risk preferences affect conservation investment priorities. Using a prioritization approach based on cost effectiveness, we compared 2 approaches: a conservative probability threshold approach that excludes investment in projects with a risk of management failure greater than a fixed level, and a variance-discounting heuristic used in economics that explicitly accounts for risk tolerance and the probabilities of management success and failure. We applied both approaches to prioritizing projects for 700 of New Zealand's threatened species across 8303 management actions. Both decision makers' risk tolerance and our choice of approach to dealing with risk preferences drove the prioritization solution (i.e., the species selected for management). Use of a probability threshold minimized uncertainty, but more expensive projects were selected than with variance discounting, which maximized expected benefits by selecting the management of species with higher extinction risk and higher conservation value. Explicitly incorporating risk preferences within the decision making process reduced the number of species expected to be safe from extinction because lower risk tolerance resulted in more species being excluded from management, but the approach allowed decision makers to choose a level of acceptable risk that fit with their ability to accommodate failure. We argue for transparency in risk tolerance and recommend that decision makers accept risk in an adaptive management

The second iteration of the Systems Prioritization Method: A systems prioritization and decision-aiding tool for the Waste Isolation Pilot Plant: Volume 1, Synopsis of method and results

International Nuclear Information System (INIS)

Prindle, N.H.; Mendenhall, F.T.; Boak, D.M.

1996-05-01

In March 1994, the US Department of Energy Carlsbad Area Office (DOE/CAO) embarked on an effort to design and implement a performance- based decision-aiding tool to provide an analytical basis for planning, prioritizing, and selecting programmatic options for the Waste Isolation Pilot Plant (WIPP). This tool, called Systems Prioritization Method (SPM) defines the most viable combinations of scientific investigations, engineered alternatives (EAs), and waste acceptance criteria (WAC) for supporting the final WIPP compliance application. The scope of SPM is restricted to selected portions of applicable Environmental Protection Agency (EPA) long-term performance regulations. SPM calculates the probabilities of certain sets of activities demonstrating compliance with various regulations. SPM provides results in the form of a decision matrix to identify cost-effective programmatic paths with a high probability of successfully demonstrating compliance

The second iteration of the Systems Prioritization Method: A systems prioritization and decision-aiding tool for the Waste Isolation Pilot Plant: Volume 1, Synopsis of method and results

Energy Technology Data Exchange (ETDEWEB)

Prindle, N.H.; Mendenhall, F.T.; Boak, D.M. [and others

1996-05-01

In March 1994, the US Department of Energy Carlsbad Area Office (DOE/CAO) embarked on an effort to design and implement a performance- based decision-aiding tool to provide an analytical basis for planning, prioritizing, and selecting programmatic options for the Waste Isolation Pilot Plant (WIPP). This tool, called Systems Prioritization Method (SPM) defines the most viable combinations of scientific investigations, engineered alternatives (EAs), and waste acceptance criteria (WAC) for supporting the final WIPP compliance application. The scope of SPM is restricted to selected portions of applicable Environmental Protection Agency (EPA) long-term performance regulations. SPM calculates the probabilities of certain sets of activities demonstrating compliance with various regulations. SPM provides results in the form of a decision matrix to identify cost-effective programmatic paths with a high probability of successfully demonstrating compliance.

The economics of comparative effectiveness studies: societal and private perspectives and their implications for prioritizing public investments in comparative effectiveness research.

Science.gov (United States)

Meltzer, David; Basu, Anirban; Conti, Rena

2010-01-01

Comparative effectiveness research (CER) can provide valuable information for patients, providers and payers. These stakeholders differ in their incentives to invest in CER. To maximize benefits from public investments in CER, it is important to understand the value of CER from the perspectives of these stakeholders and how that affects their incentives to invest in CER. This article provides a conceptual framework for valuing CER, and illustrates the potential benefits of such studies from a number of perspectives using several case studies. We examine cases in which CER provides value by identifying when one treatment is consistently better than others, when different treatments are preferred for different subgroups, and when differences are small enough that decisions can be made based on price. We illustrate these findings using value-of-information techniques to assess the value of research, and by examining changes in pharmaceutical prices following publication of a comparative effectiveness study. Our results suggest that CER may have high societal value but limited private return to providers or payers. This suggests the importance of public efforts to promote the production of CER. We also conclude that value-of-information tools may help inform policy decisions about how much public funds to invest in CER and how to prioritize the use of available public funds for CER, in particular targeting public CER spending to areas where private incentives are low relative to social benefits.

Prioritizing Information during Working Memory: Beyond Sustained Internal Attention.

Science.gov (United States)

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.

Prioritizing avian species for their risk of population-level consequences from wind energy development

Science.gov (United States)

Beston, Julie A.; Diffendorfer, James E.; Loss, Scott; Johnson, Douglas H.

2016-01-01

Recent growth in the wind energy industry has increased concerns about its impacts on wildlife populations. Direct impacts of wind energy include bird and bat collisions with turbines whereas indirect impacts include changes in wildlife habitat and behavior. Although many species may withstand these effects, species that are long-lived with low rates of reproduction, have specialized habitat preferences, or are attracted to turbines may be more prone to declines in population abundance. We developed a prioritization system to identify the avian species most likely to experience population declines from wind facilities based on their current conservation status and their expected risk from turbines. We developed 3 metrics of turbine risk that incorporate data on collision fatalities at wind facilities, population size, life history, species’ distributions relative to turbine locations, number of suitable habitat types, and species’ conservation status. We calculated at least 1 measure of turbine risk for 428 avian species that breed in the United States. We then simulated 100,000 random sets of cutoff criteria (i.e., the metric values used to assign species to different priority categories) for each turbine risk metric and for conservation status. For each set of criteria, we assigned each species a priority score and calculated the average priority score across all sets of criteria. Our prioritization system highlights both species that could potentially experience population decline caused by wind energy and species at low risk of population decline. For instance, several birds of prey, such as the long-eared owl, ferruginous hawk, Swainson’s hawk, and golden eagle, were at relatively high risk of population decline across a wide variety of cutoff values, whereas many passerines were at relatively low risk of decline. This prioritization system is a first step that will help researchers, conservationists, managers, and industry target future study and

Prioritizing Avian Species for Their Risk of Population-Level Consequences from Wind Energy Development.

Directory of Open Access Journals (Sweden)

Julie A Beston

Full Text Available Recent growth in the wind energy industry has increased concerns about its impacts on wildlife populations. Direct impacts of wind energy include bird and bat collisions with turbines whereas indirect impacts include changes in wildlife habitat and behavior. Although many species may withstand these effects, species that are long-lived with low rates of reproduction, have specialized habitat preferences, or are attracted to turbines may be more prone to declines in population abundance. We developed a prioritization system to identify the avian species most likely to experience population declines from wind facilities based on their current conservation status and their expected risk from turbines. We developed 3 metrics of turbine risk that incorporate data on collision fatalities at wind facilities, population size, life history, species' distributions relative to turbine locations, number of suitable habitat types, and species' conservation status. We calculated at least 1 measure of turbine risk for 428 avian species that breed in the United States. We then simulated 100,000 random sets of cutoff criteria (i.e., the metric values used to assign species to different priority categories for each turbine risk metric and for conservation status. For each set of criteria, we assigned each species a priority score and calculated the average priority score across all sets of criteria. Our prioritization system highlights both species that could potentially experience population decline caused by wind energy and species at low risk of population decline. For instance, several birds of prey, such as the long-eared owl, ferruginous hawk, Swainson's hawk, and golden eagle, were at relatively high risk of population decline across a wide variety of cutoff values, whereas many passerines were at relatively low risk of decline. This prioritization system is a first step that will help researchers, conservationists, managers, and industry target future

Prioritizing Avian Species for Their Risk of Population-Level Consequences from Wind Energy Development.

Science.gov (United States)

Beston, Julie A; Diffendorfer, Jay E; Loss, Scott R; Johnson, Douglas H

2016-01-01

Recent growth in the wind energy industry has increased concerns about its impacts on wildlife populations. Direct impacts of wind energy include bird and bat collisions with turbines whereas indirect impacts include changes in wildlife habitat and behavior. Although many species may withstand these effects, species that are long-lived with low rates of reproduction, have specialized habitat preferences, or are attracted to turbines may be more prone to declines in population abundance. We developed a prioritization system to identify the avian species most likely to experience population declines from wind facilities based on their current conservation status and their expected risk from turbines. We developed 3 metrics of turbine risk that incorporate data on collision fatalities at wind facilities, population size, life history, species' distributions relative to turbine locations, number of suitable habitat types, and species' conservation status. We calculated at least 1 measure of turbine risk for 428 avian species that breed in the United States. We then simulated 100,000 random sets of cutoff criteria (i.e., the metric values used to assign species to different priority categories) for each turbine risk metric and for conservation status. For each set of criteria, we assigned each species a priority score and calculated the average priority score across all sets of criteria. Our prioritization system highlights both species that could potentially experience population decline caused by wind energy and species at low risk of population decline. For instance, several birds of prey, such as the long-eared owl, ferruginous hawk, Swainson's hawk, and golden eagle, were at relatively high risk of population decline across a wide variety of cutoff values, whereas many passerines were at relatively low risk of decline. This prioritization system is a first step that will help researchers, conservationists, managers, and industry target future study and management

Identifying and prioritizing ungulate migration routes for landscape-level conservation

Science.gov (United States)

Sawyer, Hall; Kauffman, Matthew J.; Nielson, Ryan M.; Horne, Jon S.

2009-01-01

As habitat loss and fragmentation increase across ungulate ranges, identifying and prioritizing migration routes for conservation has taken on new urgency. Here we present a general framework using the Brownian bridge movement model (BBMM) that: (1) provides a probabilistic estimate of the migration routes of a sampled population, (2) distinguishes between route segments that function as stopover sites vs. those used primarily as movement corridors, and (3) prioritizes routes for conservation based upon the proportion of the sampled population that uses them. We applied this approach to a migratory mule deer (Odocoileus hemionus) population in a pristine area of southwest Wyoming, USA, where 2000 gas wells and 1609 km of pipelines and roads have been proposed for development. Our analysis clearly delineated where migration routes occurred relative to proposed development and provided guidance for on-the-ground conservation efforts. Mule deer migration routes were characterized by a series of stopover sites where deer spent most of their time, connected by movement corridors through which deer moved quickly. Our findings suggest management strategies that differentiate between stopover sites and movement corridors may be warranted. Because some migration routes were used by more mule deer than others, proportional level of use may provide a reasonable metric by which routes can be prioritized for conservation. The methods we outline should be applicable to a wide range of species that inhabit regions where migration routes are threatened or poorly understood.

Spatially explicit prioritization of human antibiotics and antineoplastics in Europe.

Science.gov (United States)

Oldenkamp, Rik; Huijbregts, Mark A J; Hollander, Anne; Versporten, Ann; Goossens, Herman; Ragas, Ad M J

2013-01-01

This paper presents a screening tool for the location-specific prioritization of human pharmaceutical emissions in Europe, based on risk quotients for the aquatic environment and human health. The tool provides direction towards either monitoring activities or additional research. Its application is illustrated for a set of 11 human antibiotics and 7 antineoplastics. Risk quotients for the aquatic environment were highest for levofloxacin, doxycycline and ciprofloxacin, located in Northern Italy (Milan region; particularly levofloxacin) and other densely populated areas in Europe (e.g. London, Krakow and the Ruhr area). Risk quotients for human health not only depend on pharmaceutical and location, but also on behavioral characteristics, such as consumption patterns. Infants in eastern Spain that consume locally produced food and conventionally treated drinking water were predicted to run the highest risks. A limited comparison with measured concentrations in surface water showed that predicted and measured concentrations are approximately within one order of magnitude. Copyright © 2012 Elsevier Ltd. All rights reserved.

TH-CD-209-06: LET-Based Adjustment of IMPT Plans Using Prioritized Optimization

Energy Technology Data Exchange (ETDEWEB)

Unkelbach, J; Giantsoudi, D; Paganetti, H [Massachusetts General Hospital, Boston, MA (United States); Botas, P [Massachusetts General Hospital, Boston, MA (United States); Heidelberg University, Heidelberg, DE (Germany); Qin, N; Jia, X [The University of Texas Southwestern Medical Ctr, Dallas, TX (United States)

2016-06-15

Purpose: In-vitro experiments suggest an increase in proton relative biological effectiveness (RBE) towards the end of range. However, proton treatment planning and dose reporting for clinical outcome assessment has been based on physical dose and constant RBE. Therefore, treatment planning for intensity-modulated proton therapy (IMPT) is unlikely to transition radically to pure RBE-based planning. We suggest a hybrid approach where treatment plans are initially created based on physical dose constraints and prescriptions, and are subsequently altered to avoid high linear energy transfer (LET) in critical structures while limiting the degradation of the physical dose distribution. Methods: To allow fast optimization based on dose and LET we extended a GPU-based Monte-Carlo code towards providing dose-averaged LET in addition to dose for all pencil beams. After optimizing an initial IMPT plan based on physical dose, a prioritized optimization scheme is used to modify the LET distribution while constraining the physical dose objectives to values close to the initial plan. The LET optimization step is performed based on objective functions evaluated for the product of physical dose and LET (LETxD). To first approximation, LETxD represents a measure of the additional biological dose that is caused by high LET. Regarding optimization techniques, LETxD has the advantage of being a linear function of the pencil beam intensities. Results: The method is applicable to treatments where serial critical structures with maximum dose constraint are located in or near the target. We studied intra-cranial tumors (high-grade meningiomas, base-of-skull chordomas) where the target (CTV) overlaps with the brainstem and optic structures. Often, high LETxD in critical structures can be avoided while minimally compromising physical dose planning objectives. Conclusion: LET-based re-optimization of IMPT plans represents a pragmatic approach to bridge the gap between purely physical dose-based

Health care prioritization in ageing societies: influence of age, education, health literacy and culture.

Science.gov (United States)

Mak, Benise; Woo, Jean; Bowling, Ann; Wong, Florens; Chau, Pui Hing

2011-05-01

To examine how Chinese people in Hong Kong view health care prioritization and to compare the findings with those from a United Kingdom survey. A cross-sectional opinion survey was conducted in Hong Kong and 1512 participants were interviewed. Data show that the highest rankings were accorded to "treatment for children" and "high technology services." Services for the elderly, whether in the community or in hospitals, and including end-of-life care, were ranked among the lowest. This view was also shared by healthcare professionals. Compared with the UK findings, there are stark contrasts in the low ranking of end-of-life care and the high ranking of high technology services among the HK population. It is evident that most people would give priority to the young over the old in distributing a given amount of healthcare services. To meet the needs of ageing societies and to meet the needs of all users equitably, health care policy needs to acknowledge constraints and the needs for prioritization. Both the public and professionals should engage with policy makers in formulating a policy based on cost benefit considerations as well as overall societal view of prioritization that is not based on age alone. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Use of a quality improvement tool, the prioritization matrix, to identify and prioritize triage software algorithm enhancement.

Science.gov (United States)

North, Frederick; Varkey, Prathiba; Caraballo, Pedro; Vsetecka, Darlene; Bartel, Greg

2007-10-11

Complex decision support software can require significant effort in maintenance and enhancement. A quality improvement tool, the prioritization matrix, was successfully used to guide software enhancement of algorithms in a symptom assessment call center.

T-dominance: Prioritized Defense Deployment for BYOD Security (Post Print)

Science.gov (United States)

2013-10-01

pineapple 8 reduces device heterogeneity, and thus, makes malware epidemics possible. Given these considerations, Wi-Fi-co-location-based smartphone...Conference Paper 3. DATES COVERED (From - To) APR 2011 – JUN 2013 4. TITLE AND SUBTITLE T-dominance: Prioritized Defense Deployment for BYOD...For Public Release; Distribution Unlimited. PA Case number: 88ABW-2012-4117, dated 25-Jul 2012 13. SUPPLEMENTARY NOTES © IEEE 2013. This paper was

A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records.

Science.gov (United States)

Jiang, Li; Edwards, Stefan M; Thomsen, Bo; Workman, Christopher T; Guldbrandtsen, Bernt; Sørensen, Peter

2014-09-24

Prioritizing genetic variants is a challenge because disease susceptibility loci are often located in genes of unknown function or the relationship with the corresponding phenotype is unclear. A global data-mining exercise on the biomedical literature can establish the phenotypic profile of genes with respect to their connection to disease phenotypes. The importance of protein-protein interaction networks in the genetic heterogeneity of common diseases or complex traits is becoming increasingly recognized. Thus, the development of a network-based approach combined with phenotypic profiling would be useful for disease gene prioritization. We developed a random-set scoring model and implemented it to quantify phenotype relevance in a network-based disease gene-prioritization approach. We validated our approach based on different gene phenotypic profiles, which were generated from PubMed abstracts, OMIM, and GeneRIF records. We also investigated the validity of several vocabulary filters and different likelihood thresholds for predicted protein-protein interactions in terms of their effect on the network-based gene-prioritization approach, which relies on text-mining of the phenotype data. Our method demonstrated good precision and sensitivity compared with those of two alternative complex-based prioritization approaches. We then conducted a global ranking of all human genes according to their relevance to a range of human diseases. The resulting accurate ranking of known causal genes supported the reliability of our approach. Moreover, these data suggest many promising novel candidate genes for human disorders that have a complex mode of inheritance. We have implemented and validated a network-based approach to prioritize genes for human diseases based on their phenotypic profile. We have devised a powerful and transparent tool to identify and rank candidate genes. Our global gene prioritization provides a unique resource for the biological interpretation of data

MetaRanker 2.0: a web server for prioritization of genetic variation data

DEFF Research Database (Denmark)

Pers, Tune Hannes; Dworzynski, Piotr; Thomas, Cecilia Engel

2013-01-01

MetaRanker 2.0 is a web server for prioritization of common and rare frequency genetic variation data. Based on heterogeneous data sets including genetic association data, protein–protein interactions, large-scale text-mining data, copy number variation data and gene expression experiments, Meta...

[Cost-effectiveness alone is not sufficient as basis for prioritization].

Science.gov (United States)

Laine, Juha

2014-01-01

Cost-effectiveness has been suggested as the sole ethical basis for prioritization systems. The methods of health economics per se may be beneficial in decision making situations of various types. The structure of Finnish healthcare system and value-based choices associated with the application of cost-effectiveness make, however, utilizability more difficult than thought. Analysis of cost- effectiveness is worth using, but criteria and methods of decision making of health economics cannot be harnessed as tools for technocratic decision-making. Value-based choices should be subjected to wide public debate.

Use of multiple patient simulators to enhance prioritizing and delegating skills for senior nursing students.

Science.gov (United States)

Kaplan, Barbara; Ura, Darla

2010-07-01

The student clinical experience is rich, yet challenges arise in providing experiences where leadership skills can be developed and used in nursing practice. To increase student confidence and enhance student ability to safely and effectively prioritize, delegate, and implement care for numerous patients, a simulation-based learning (SBL) experience was developed. The SBL experience involves multiple patient simulators, case study analysis, and a debriefing session. Ninety-seven senior nursing students participated in this program. Students reported through Likert surveys to either "agree" or "strongly agree" that the SBL was well organized (87%, n = 84), prompted realistic expectations (59%, n = 57), the scenarios were believable (73%, n = 71), case studies increased understanding (66%, n = 64), and that the SBL experience increased understanding of prioritizing and delegating care (69%, n = 67). Seventy-eight percent (n = 76) reported "more confidence in ability to work as a team" and 55% (n = 52) reported "more confidence in prioritizing and delegating care." Copyright 2010, SLACK Incorporated.

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

Science.gov (United States)

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…

Research2015. A basis for prioritizing strategic research; FORSK2015. Et prioriteringsgrundlag for strategisk forskning

Energy Technology Data Exchange (ETDEWEB)

2008-05-15

This catalogue is based on a comprehensive mapping of the strategic research needs created by societal and business development. The mapping resulted in more than 300 contributions to strategic research themes from citizens, organizations, universities, businesses and scientists. The contributions have formed the basis for an extensive analysis and dialogue process, which has resulted in 21 proposals for strategic research themes divided among 6 general areas. Each theme consists of: 1) a significant challenge for society, 2) a research need created by the challenge, 3) Danish prerequisites for addressing the research need, and 4) long term perspectives for a potential strategic research effort in the area. (BA)

Experimentation on accuracy of non functional requirement prioritization approaches for different complexity projects

OpenAIRE

Raj Kumar Chopra; Varun Gupta; Durg Singh Chauhan

2016-01-01

Non functional requirements must be selected for implementation together with functional requirements to enhance the success of software projects. Three approaches exist for performing the prioritization of non functional requirements using the suitable prioritization technique. This paper performs experimentation on three different complexity versions of the industrial software project using cost-value prioritization technique employing three approaches. Experimentation is conducted to analy...

Network Based Integrated Analysis of Phenotype-Genotype Data for Prioritization of Candidate Symptom Genes

Directory of Open Access Journals (Sweden)

Xing Li

2014-01-01

Full Text Available Background. Symptoms and signs (symptoms in brief are the essential clinical manifestations for individualized diagnosis and treatment in traditional Chinese medicine (TCM. To gain insights into the molecular mechanism of symptoms, we develop a computational approach to identify the candidate genes of symptoms. Methods. This paper presents a network-based approach for the integrated analysis of multiple phenotype-genotype data sources and the prediction of the prioritizing genes for the associated symptoms. The method first calculates the similarities between symptoms and diseases based on the symptom-disease relationships retrieved from the PubMed bibliographic database. Then the disease-gene associations and protein-protein interactions are utilized to construct a phenotype-genotype network. The PRINCE algorithm is finally used to rank the potential genes for the associated symptoms. Results. The proposed method gets reliable gene rank list with AUC (area under curve 0.616 in classification. Some novel genes like CALCA, ESR1, and MTHFR were predicted to be associated with headache symptoms, which are not recorded in the benchmark data set, but have been reported in recent published literatures. Conclusions. Our study demonstrated that by integrating phenotype-genotype relationships into a complex network framework it provides an effective approach to identify candidate genes of symptoms.

Asymptotic performance modelling of DCF protocol with prioritized channel access

Science.gov (United States)

Choi, Woo-Yong

2017-11-01

Recently, the modification of the DCF (Distributed Coordination Function) protocol by the prioritized channel access was proposed to resolve the problem that the DCF performance worsens exponentially as more nodes exist in IEEE 802.11 wireless LANs. In this paper, an asymptotic analytical performance model is presented to analyze the MAC performance of the DCF protocol with the prioritized channel access.

13 CFR 107.1520 - How a Licensee computes and allocates Prioritized Payments to SBA.

Science.gov (United States)

2010-01-01

... Prioritized Payments, earned Adjustments and earned Charges. (3) Earned Payments Account. The Earned Payments... Distribution: (1) Bring the Accumulation Account up to date by adding to it all Prioritized Payments and... Payments to SBA. This section tells you how to compute Prioritized Payments, Adjustments and Charges on...

Identifying and prioritizing barriers to implementation of smart energy city projects in Europe: An empirical approach

International Nuclear Information System (INIS)

Mosannenzadeh, Farnaz; Di Nucci, Maria Rosaria; Vettorato, Daniele

2017-01-01

Successful implementation of smart energy city projects in Europe is crucial for a sustainable transition of urban energy systems and the improvement of quality of life for citizens. We aim to develop a systematic classification and analysis of the barriers hindering successful implementation of smart energy city projects. Through an empirical approach, we investigated 43 communities implementing smart and sustainable energy city projects under the Sixth and Seventh Framework Programmes of the European Union. Validated through literature review, we identified 35 barriers categorized in policy, administrative, legal, financial, market, environmental, technical, social, and information-and-awareness dimensions. We prioritized these barriers, using a novel multi-dimensional methodology that simultaneously analyses barriers based on frequency, level of impact, causal relationship among barriers, origin, and scale. The results indicate that the key barriers are lacking or fragmented political support on the long term at the policy level, and lack of good cooperation and acceptance among project partners, insufficient external financial support, lack of skilled and trained personnel, and fragmented ownership at the project level. The outcome of the research should aid policy-makers to better understand and prioritize implementation barriers to develop effective action and policy interventions towards more successful implementation of smart energy city projects. - Highlights: • A solid empirical study on the implementation of European smart energy city projects. • We found 35 barriers in nine dimensions; e.g. policy, legal, financial, and social. • We suggested a new multi-dimensional methodology to prioritize barriers. • Lacking or fragmented political support on the long term is a key barrier. • We provided insights for action for project coordinators and policy makers.

Improved method for prioritization of disease associated lncRNAs based on ceRNA theory and functional genomics data.

Science.gov (United States)

Wang, Peng; Guo, Qiuyan; Gao, Yue; Zhi, Hui; Zhang, Yan; Liu, Yue; Zhang, Jizhou; Yue, Ming; Guo, Maoni; Ning, Shangwei; Zhang, Guangmei; Li, Xia

2017-01-17

Although several computational models that predict disease-associated lncRNAs (long non-coding RNAs) exist, only a limited number of disease-associated lncRNAs are known. In this study, we mapped lncRNAs to their functional genomics context using competing endogenous RNAs (ceRNAs) theory. Based on the criteria that similar lncRNAs are likely involved in similar diseases, we proposed a disease lncRNA prioritization method, DisLncPri, to identify novel disease-lncRNA associations. Using a leave-one-out cross validation (LOOCV) strategy, DisLncPri achieved reliable area under curve (AUC) values of 0.89 and 0.87 for the LncRNADisease and Lnc2Cancer datasets that further improved to 0.90 and 0.89 by integrating a multiple rank fusion strategy. We found that DisLncPri had the highest rank enrichment score and AUC value in comparison to several other methods for case studies of alzheimer's disease, ovarian cancer, pancreatic cancer and gastric cancer. Several novel lncRNAs in the top ranks of these diseases were found to be newly verified by relevant databases or reported in recent studies. Prioritization of lncRNAs from a microarray (GSE53622) of oesophageal cancer patients highlighted ENSG00000226029 (top 2), a previously unidentified lncRNA as a potential prognostic biomarker. Our analysis thus indicates that DisLncPri is an excellent tool for identifying lncRNAs that could be novel biomarkers and therapeutic targets in a variety of human diseases.

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

Science.gov (United States)

2011-04-04

... prioritized examination fee, processing fee, and publication fee. Therefore, the fee amount due on filing for...) the $4,000 prioritized examination fee; (3) the $130 processing fee; and (4) the $300 publication fee...) prioritized examination fee; (3) the $130 processing fee; and (4) the $300 publication fee. Under prioritized...

Structural fire resistance experimental research priority needs of U.S. industry

CERN Document Server

Almand, Kathleen H

2012-01-01

Structural Fire Resistance Experimental Research – Priority Needs of U.S. Industry provides a synthesis of stakeholder input to a prioritized agenda for research at the National Fire Research Laboratory (NFRL) at the National Institute of Standards and Technology (NIST) designed to accelerate the implementation of performance-based fire engineering for structures. The NFRL presents a broad range of unanswered questions regarding the performance of real structures in fire conditions, and informs performance-based design methods and standards in this field. The authors conducted a comprehensive literature review of large-scale structural fire testing and compiled research needs from a variety of sources. The book addresses major issues of broad concern in the fire community, such as real fire exposure and structural response, composite floor system performance, enhancing modeling performance, and understanding the embedded safety features in design methods. It concludes with a prioritized set of research reco...

HSQC-TOCSY Fingerprinting for Prioritization of Polyketide- and Peptide-Producing Microbial Isolates.

Science.gov (United States)

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.

The systems prioritization method (SPM) CD-ROM demonstration for Waste Management '96

International Nuclear Information System (INIS)

Harris, C.L.; Boak, D.M.; Prindle, N.H.; Beyeler, W.

1996-01-01

In March 1994, the Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance-based planning method to assist in prioritization within the Waste Isolation Pilot Plant (WIPP). Probabilistic performance calculations were required for the Systems Prioritization Method (SPM) and roughly 46,700 combinations of activities were analyzed, generating a large volume of information to be documented, analyzed, and communicated. A self-contained information management system consisting of a relational database on a 600-megabyte CD-ROM was built to meet this need. The CD-ROM was used to store performance assessment results, data analysis and visualization tools, information about the activities, electronic copies of 40 ILFR 191 and 40 CFR 268, technical reference papers, and the final SPM report. Copies of the CD-ROM were distributed to interested members of the public, WIPP participants, and the Environmental Protection Agency (EPA)

A subjective and objective fuzzy-based analytical hierarchy process model for prioritization of lean product development practices

Directory of Open Access Journals (Sweden)

Daniel O. Aikhuele

2017-06-01

Full Text Available In this paper, a subjective and objective fuzzy-based Analytical Hierarchy Process (AHP model is proposed. The model which is based on a newly defined evaluation matrix replaces the fuzzy comparison matrix (FCM in the traditional fuzzy AHP model, which has been found ineffective and time-consuming when criteria/alternatives are increased. The main advantage of the new model is that it is straightforward and completely eliminates the repetitive adjustment of data that is common with the FCM in traditional AHP model. The model reduces the complete dependen-cy on human judgment in prioritization assessment since the weights values are solved automati-cally using the evaluation matrix and the modified priority weight formula in the proposed mod-el. By virtue of a numerical case study, the model is successfully applied in the determination of the implementation priorities of lean practices for a product development environment and com-pared with similar computational methods in the literature.

Identifying and prioritizing industry-level competitiveness factors: evidence from pharmaceutical market.

Science.gov (United States)

Shabaninejad, Hosein; Mehralian, Gholamhossein; Rashidian, Arash; Baratimarnani, Ahmad; Rasekh, Hamid Reza

2014-04-03

Pharmaceutical industry is knowledge-intensive and highly globalized, in both developed and developing countries. On the other hand, if companies want to survive, they should be able to compete well in both domestic and international markets. The main purpose of this paper is therefore to develop and prioritize key factors affecting companies' competitiveness in pharmaceutical industry. Based on an extensive literature review, a valid and reliable questionnaire was designed, which was later filled up by participants from the industry. To prioritize the key factors, we used the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The results revealed that human capital and macro-level policies were two key factors placed at the highest rank in respect of their effects on the competitiveness considering the industry-level in pharmaceutical area. This study provides fundamental evidence for policymakers and managers in pharma context to enable them formulating better polices to be proactively competitive and responsive to the markets' needs.

Prioritization of gene regulatory interactions from large-scale modules in yeast

Directory of Open Access Journals (Sweden)

Bringas Ricardo

2008-01-01

Full Text Available Abstract Background The identification of groups of co-regulated genes and their transcription factors, called transcriptional modules, has been a focus of many studies about biological systems. While methods have been developed to derive numerous modules from genome-wide data, individual links between regulatory proteins and target genes still need experimental verification. In this work, we aim to prioritize regulator-target links within transcriptional modules based on three types of large-scale data sources. Results Starting with putative transcriptional modules from ChIP-chip data, we first derive modules in which target genes show both expression and function coherence. The most reliable regulatory links between transcription factors and target genes are established by identifying intersection of target genes in coherent modules for each enriched functional category. Using a combination of genome-wide yeast data in normal growth conditions and two different reference datasets, we show that our method predicts regulatory interactions with significantly higher predictive power than ChIP-chip binding data alone. A comparison with results from other studies highlights that our approach provides a reliable and complementary set of regulatory interactions. Based on our results, we can also identify functionally interacting target genes, for instance, a group of co-regulated proteins related to cell wall synthesis. Furthermore, we report novel conserved binding sites of a glycoprotein-encoding gene, CIS3, regulated by Swi6-Swi4 and Ndd1-Fkh2-Mcm1 complexes. Conclusion We provide a simple method to prioritize individual TF-gene interactions from large-scale transcriptional modules. In comparison with other published works, we predict a complementary set of regulatory interactions which yields a similar or higher prediction accuracy at the expense of sensitivity. Therefore, our method can serve as an alternative approach to prioritization for

Methodology for national risk analysis and prioritization of toxic industrial chemicals.

Science.gov (United States)

Taxell, Piia; Engström, Kerstin; Tuovila, Juha; Söderström, Martin; Kiljunen, Harri; Vanninen, Paula; Santonen, Tiina

2013-01-01

The identification of chemicals that pose the greatest threat to human health from incidental releases is a cornerstone in public health preparedness for chemical threats. The present study developed and applied a methodology for the risk analysis and prioritization of industrial chemicals to identify the most significant chemicals that pose a threat to public health in Finland. The prioritization criteria included acute and chronic health hazards, physicochemical and environmental hazards, national production and use quantities, the physicochemical properties of the substances, and the history of substance-related incidents. The presented methodology enabled a systematic review and prioritization of industrial chemicals for the purpose of national public health preparedness for chemical incidents.

Identification and Prioritization of Management Practices to Reduce Methylmercury Exports from Wetlands and Irrigated Agricultural Lands

Science.gov (United States)

McCord, Stephen A.; Heim, Wesley A.

2015-03-01

The Sacramento-San Joaquin Delta's (Delta) beneficial uses for humans and wildlife are impaired by elevated methylmercury (MeHg) concentrations in fish. MeHg is a neurotoxin that bioaccumulates in aquatic food webs. The total maximum daily load (TMDL) implementation plan aimed at reducing MeHg in Delta fish obligates dischargers to conduct MeHg control studies. Over 150 stakeholders collaborated to identify 24 management practices (MPs) addressing MeHg nonpoint sources (NPS) in three categories: biogeochemistry (6), hydrology (14), and soil/vegetation (4). Land uses were divided into six categories: permanently and seasonally flooded wetlands, flooded and irrigated agricultural lands, floodplains, and brackish-fresh tidal marshes. Stakeholders scored MPs based on seven criteria: scientific certainty, costs, MeHg reduction potential, spatial applicability, technical capacity to implement, negative impacts to beneficial uses, and conflicting requirements. Semi-quantitative scoring for MPs applicable to each land use (totaling >400 individual scores) led to consensus-based prioritization. This process relied on practical experience from diverse and accomplished NPS stakeholders and synthesis of 17 previous studies. Results provide a comprehensive, stakeholder-driven prioritization of MPs for wetland and irrigated agricultural land managers. Final prioritization highlights the most promising MPs for practical application and control study, and a secondary set of MPs warranting further evaluation. MPs that address hydrology and soil/vegetation were prioritized because experiences were positive and implementation appeared more feasible. MeHg control studies will need to address the TMDL conundrum that MPs effective at reducing MeHg exports could both exacerbate MeHg exposure and contend with other management objectives on site.

Research Recommendations for Selected IARC-Classified Agents

DEFF Research Database (Denmark)

Ward, Elizabeth M; Schulte, Paul A; Straif, Kurt

2010-01-01

OBJECTIVES: There are some common occupational agents and exposure circumstances where evidence of carcinogenicity is substantial but not yet conclusive for humans. The objectives are to identify research gaps and needs for twenty agents prioritized for review based on evidence of widespread huma...

Comparative analysis of stakeholder experiences with an online approach to prioritizing patient-centered research topics.

Science.gov (United States)

Khodyakov, Dmitry; Grant, Sean; Meeker, Daniella; Booth, Marika; Pacheco-Santivanez, Nathaly; Kim, Katherine K

2017-05-01

Little evidence exists about effective and scalable methods for meaningful stakeholder engagement in research. We explored patient/caregiver experiences with a high-tech online engagement approach for patient-centered research prioritization, compared their experiences with those of professional stakeholders, and identified factors associated with favorable participant experiences. We conducted 8 online modified-Delphi (OMD) panels. Panelists participated in 2 rating rounds with a statistical feedback/online discussion round in between. Panels focused on weight management/obesity, heart failure, and Kawasaki disease. We recruited a convenience sample of adults with any of the 3 conditions (or parents/guardians of Kawasaki disease patients), clinicians, and researchers. Measures included self-reported willingness to use OMD again, the panelists' study participation and online discussion experiences, the system's perceived ease of use, and active engagement metrics. Out of 349 panelists, 292 (84%) completed the study. Of those, 46% were patients, 36% were clinicians, and 19% were researchers. In multivariate models, patients were not significantly more actively engaged (Odds ratio (OR) = 1.69, 95% confidence interval (CI), 0.94-3.05) but had more favorable study participation (β = 0.49; P  ≤ .05) and online discussion (β = 0.18; P  ≤ .05) experiences and were more willing to use OMD again (β = 0.36; P  ≤ .05), compared to professional stakeholders. Positive perceptions of the OMD system's ease of use (β = 0.16; P  ≤ .05) and favorable study participation (β = 0.26; P  ≤ .05) and online discussion (β = 0.57; P  ≤ .05) experiences were also associated with increased willingness to use OMD in the future. Active engagement was not associated with online experience indices or willingness to use OMD again. Online approaches to engaging large numbers of stakeholders are a promising and efficient adjunct

Approach to technology prioritization in support of moon initiatives in the framework of ESA exploration technology roadmaps

Science.gov (United States)

Aleina, Sara Cresto; Viola, Nicole; Fusaro, Roberta; Saccoccia, Giorgio

2017-10-01

Exploration technology roadmaps have been developed by ESA in the past few years and the latest edition has been released in 2015. Scope of these technology roadmaps, elaborated in consultation with the different ESA stakeholders (e.g. European Industries and Research Entities), is to provide a powerful tool for strategic, programmatic and technical decisions in support of the European role within an International Space Exploration context. In the context of preparation for possible future European Moon exploration initiatives, the technology roadmaps have been used to highlight the role of technology within Missions, Building Blocks and Operational Capabilities of relevance. In particular, as part of reference missions to the Moon that would fit in the time frame 2020 to 2030, ESA has addressed the definition of lunar surface exploration missions in line with its space exploration strategy, with the common mission goals of returning samples from the Moon and Mars and expanding human presence to these destinations in a step-wise approach. The roadmaps for the procurement of technologies required for the first mission elements of the above strategy have been elaborated through their main building blocks, i.e. Visual navigation, Hazard detection and avoidance; Sample acquisition, processing and containment system; Surface mobility elements; Tele-robotic and autonomous control systems; and Storable propulsion modules and equipment. Technology prioritization methodologies have been developed in support of the ESA Exploration Technology Roadmaps, in order to provide logical and quantitative instruments to verify choices of prioritization that can be carried out based on important, but non-quantitative factors. These methodologies, which are thoroughly described in the first part of the paper, proceed through subsequent steps. First, technology prioritization's criteria are selected; then decision trees are developed to highlight all feasible paths of combination of

Prioritization of the hemodialysis patients' preferences in acquisition of health information: A strategy for patient education

Directory of Open Access Journals (Sweden)

Hassan Babamohamadi

2016-07-01

Full Text Available Full training according to the information needs of patients reduces health care costs and increases the quality of care. The present study was conducted aims to prioritize the preferences of hemodialysis patients in acquisition of health information to be able to provide training according to these preferences and their prioritization after achieving them. This study was a descriptive cross-sectional one which was conducted on all hemodialysis patients who visited Kowsar Hospital in Semnan within the year 2014-2015. Data collecting tool was researcher-made questionnaire which assessed physical information needs of patients in four areas of nutrition, energy, pain and discomfort, sleep and rest. Data were analyzed by SPSS software version 16 using the descriptive statistics.71 hemodialysis patients participated in this study. 68.6%, 50.7%, 42.6% and 46.7% of patients expressed acquisition information regarding hematopoietic foods, how to increase mobility, how to relieve itching during dialysis and mental activities before sleep as their first priorities, respectively. The results of this study showed that hemodialysis patients need to know what kinds of information in the field of physical problems. To facilitate adaptation and selfcare of patients, providing information and training based on the real needs of patients will be helpful.

Wood Protection Research Council: Research Priorities 2013

Science.gov (United States)

Carol A Clausen; Frederick Green III; Grant T. Kirker; Stan T. Lebow

2014-01-01

This report summarizes presentations and comments from the inaugural Wood Protection Research Council meeting. Research needs for the wood protection industry were identified and prioritized. Methods for successfully addressing research needs were discussed by industry, academia, and association representatives.

Program prioritization system user requirements document for Gas Cooled Reactor Associates

International Nuclear Information System (INIS)

1981-01-01

Efficient management of the national HTGR program requires the establishment of an information system that will facilitate a more rational allocation of resources and task prioritization consistent with program policies. The system described in this document provides a data analysis mechanism for processing top level summary status and planning information in a rapid, timely and selective manner. Data produced by the system can be used by management to provide a rational basis for prioritizing tasks, evaluating program changes and program planning regarding costs, schedules and overall program development logic. The purpose of this document is to delineate the program prioritization system (PPS) requirements for use as a guide to acquiring and implementing the system

Prioritizing Sites for Protection and Restoration for Grizzly Bears (Ursus arctos) in Southwestern Alberta, Canada.

Science.gov (United States)

Braid, Andrew C R; Nielsen, Scott E

2015-01-01

As the influence of human activities on natural systems continues to expand, there is a growing need to prioritize not only pristine sites for protection, but also degraded sites for restoration. We present an approach for simultaneously prioritizing sites for protection and restoration that considers landscape patterns for a threatened population of grizzly bears (Ursus arctos) in southwestern Alberta, Canada. We considered tradeoffs between bottom-up (food resource supply) and top-down (mortality risk from roads) factors affecting seasonal habitat quality for bears. Simulated annealing was used to prioritize source-like sites (high habitat productivity, low mortality risk) for protection, as well as sink-like sites (high habitat productivity, high mortality risk) for restoration. Priority source-like habitats identified key conservation areas where future developments should be limited, whereas priority sink-like habitats identified key areas for mitigating road-related mortality risk with access management. Systematic conservation planning methods can be used to complement traditional habitat-based methods for individual focal species by identifying habitats where conservation actions (both protection and restoration) have the highest potential utility.

Prioritizing Sites for Protection and Restoration for Grizzly Bears (Ursus arctos in Southwestern Alberta, Canada.

Directory of Open Access Journals (Sweden)

Andrew C R Braid

Full Text Available As the influence of human activities on natural systems continues to expand, there is a growing need to prioritize not only pristine sites for protection, but also degraded sites for restoration. We present an approach for simultaneously prioritizing sites for protection and restoration that considers landscape patterns for a threatened population of grizzly bears (Ursus arctos in southwestern Alberta, Canada. We considered tradeoffs between bottom-up (food resource supply and top-down (mortality risk from roads factors affecting seasonal habitat quality for bears. Simulated annealing was used to prioritize source-like sites (high habitat productivity, low mortality risk for protection, as well as sink-like sites (high habitat productivity, high mortality risk for restoration. Priority source-like habitats identified key conservation areas where future developments should be limited, whereas priority sink-like habitats identified key areas for mitigating road-related mortality risk with access management. Systematic conservation planning methods can be used to complement traditional habitat-based methods for individual focal species by identifying habitats where conservation actions (both protection and restoration have the highest potential utility.

A method for the efficient prioritization of infrastructure renewal projects

International Nuclear Information System (INIS)

Karydas, D.M.; Gifun, J.F.

2006-01-01

The infrastructure renewal program at MIT consists of a large number of projects with an estimated budget that could approach $1 billion. Infrastructure renewal at the Massachusetts Institute of Technology (MIT) is the process of evaluating and investing in the maintenance of facility systems and basic structure to preserve existing campus buildings. The selection and prioritization of projects must be addressed with a systematic method for the optimal allocation of funds and other resources. This paper presents a case study of a prioritization method utilizing multi-attribute utility theory. This method was developed at MIT's Department of Nuclear Engineering and was deployed by the Department of Facilities after appropriate modifications were implemented to address the idiosyncrasies of infrastructure renewal projects and the competing criteria and constraints that influence the judgment of the decision-makers. Such criteria include minimization of risk, optimization of economic impact, and coordination with academic policies, programs, and operations of the Institute. A brief overview of the method is presented, as well as the results of its application to the prioritization of infrastructure renewal projects. Results of workshops held at MIT with the participation of stakeholders demonstrate the feasibility of the prioritization method and the usefulness of this approach

Complementarity and Area-Efficiency in the Prioritization of the Global Protected Area Network.

Directory of Open Access Journals (Sweden)

Peter Kullberg

Full Text Available Complementarity and cost-efficiency are widely used principles for protected area network design. Despite the wide use and robust theoretical underpinnings, their effects on the performance and patterns of priority areas are rarely studied in detail. Here we compare two approaches for identifying the management priority areas inside the global protected area network: 1 a scoring-based approach, used in recently published analysis and 2 a spatial prioritization method, which accounts for complementarity and area-efficiency. Using the same IUCN species distribution data the complementarity method found an equal-area set of priority areas with double the mean species ranges covered compared to the scoring-based approach. The complementarity set also had 72% more species with full ranges covered, and lacked any coverage only for half of the species compared to the scoring approach. Protected areas in our complementarity-based solution were on average smaller and geographically more scattered. The large difference between the two solutions highlights the need for critical thinking about the selected prioritization method. According to our analysis, accounting for complementarity and area-efficiency can lead to considerable improvements when setting management priorities for the global protected area network.

Complementarity and Area-Efficiency in the Prioritization of the Global Protected Area Network.

Science.gov (United States)

Kullberg, Peter; Toivonen, Tuuli; Montesino Pouzols, Federico; Lehtomäki, Joona; Di Minin, Enrico; Moilanen, Atte

2015-01-01

Complementarity and cost-efficiency are widely used principles for protected area network design. Despite the wide use and robust theoretical underpinnings, their effects on the performance and patterns of priority areas are rarely studied in detail. Here we compare two approaches for identifying the management priority areas inside the global protected area network: 1) a scoring-based approach, used in recently published analysis and 2) a spatial prioritization method, which accounts for complementarity and area-efficiency. Using the same IUCN species distribution data the complementarity method found an equal-area set of priority areas with double the mean species ranges covered compared to the scoring-based approach. The complementarity set also had 72% more species with full ranges covered, and lacked any coverage only for half of the species compared to the scoring approach. Protected areas in our complementarity-based solution were on average smaller and geographically more scattered. The large difference between the two solutions highlights the need for critical thinking about the selected prioritization method. According to our analysis, accounting for complementarity and area-efficiency can lead to considerable improvements when setting management priorities for the global protected area network.

Prioritizing conservation areas for coastal plant diversity under increasing urbanization.

Science.gov (United States)

Doxa, Aggeliki; Albert, Cécile Hélène; Leriche, Agathe; Saatkamp, Arne

2017-10-01

Coastal urban expansion will continue to drive further biodiversity losses, if conservation targets for coastal ecosystems are not defined and met. Prioritizing areas for future protected area networks is thus an urgent task in such urbanization-threatened ecosystems. Our aim is to quantify past and future losses of coastal vegetation priority areas due to urbanization and assess the effectiveness of the existing protected area network for conservation. We conduct a prioritization analysis, based on 82 coastal plants, including common and IUCN red list species, in a highly-urbanized but biotically diverse region, in South-Eastern France. We evaluate the role of protected areas, by taking into account both strict and multi-use areas. We assess the impact of past and future urbanization on high priority areas, by combining prioritization analyses and urbanization models. We show that half of the highly diverse areas have already been lost due to urbanization. Remaining top priority areas are also among the most exposed to future urban expansion. The effectiveness of the existing protected area (PA) network is only partial. While strict PAs coincide well with top priority areas, they only represent less than one third of priority areas. The effectiveness of multi-use PAs, such as the Natura 2000 network, also remains limited. Our approach highlights the impact of urbanization on plant conservation targets. By modelling urbanization, we manage to identify those areas where protection could be more efficient to limit further losses. We suggest to use our approach in the future to expand the PA network in order to achieve the 2020 Aichi biodiversity targets. Copyright © 2017 Elsevier Ltd. All rights reserved.

Evolutionary signatures amongst disease genes permit novel methods for gene prioritization and construction of informative gene-based networks.

Directory of Open Access Journals (Sweden)

Nolan Priedigkeit

2015-02-01

Full Text Available Genes involved in the same function tend to have similar evolutionary histories, in that their rates of evolution covary over time. This coevolutionary signature, termed Evolutionary Rate Covariation (ERC, is calculated using only gene sequences from a set of closely related species and has demonstrated potential as a computational tool for inferring functional relationships between genes. To further define applications of ERC, we first established that roughly 55% of genetic diseases posses an ERC signature between their contributing genes. At a false discovery rate of 5% we report 40 such diseases including cancers, developmental disorders and mitochondrial diseases. Given these coevolutionary signatures between disease genes, we then assessed ERC's ability to prioritize known disease genes out of a list of unrelated candidates. We found that in the presence of an ERC signature, the true disease gene is effectively prioritized to the top 6% of candidates on average. We then apply this strategy to a melanoma-associated region on chromosome 1 and identify MCL1 as a potential causative gene. Furthermore, to gain global insight into disease mechanisms, we used ERC to predict molecular connections between 310 nominally distinct diseases. The resulting "disease map" network associates several diseases with related pathogenic mechanisms and unveils many novel relationships between clinically distinct diseases, such as between Hirschsprung's disease and melanoma. Taken together, these results demonstrate the utility of molecular evolution as a gene discovery platform and show that evolutionary signatures can be used to build informative gene-based networks.

Self-Paced Prioritized Curriculum Learning With Coverage Penalty in Deep Reinforcement Learning.

Science.gov (United States)

Ren, Zhipeng; Dong, Daoyi; Li, Huaxiong; Chen, Chunlin; Zhipeng Ren; Daoyi Dong; Huaxiong Li; Chunlin Chen; Dong, Daoyi; Li, Huaxiong; Chen, Chunlin; Ren, Zhipeng

2018-06-01

In this paper, a new training paradigm is proposed for deep reinforcement learning using self-paced prioritized curriculum learning with coverage penalty. The proposed deep curriculum reinforcement learning (DCRL) takes the most advantage of experience replay by adaptively selecting appropriate transitions from replay memory based on the complexity of each transition. The criteria of complexity in DCRL consist of self-paced priority as well as coverage penalty. The self-paced priority reflects the relationship between the temporal-difference error and the difficulty of the current curriculum for sample efficiency. The coverage penalty is taken into account for sample diversity. With comparison to deep Q network (DQN) and prioritized experience replay (PER) methods, the DCRL algorithm is evaluated on Atari 2600 games, and the experimental results show that DCRL outperforms DQN and PER on most of these games. More results further show that the proposed curriculum training paradigm of DCRL is also applicable and effective for other memory-based deep reinforcement learning approaches, such as double DQN and dueling network. All the experimental results demonstrate that DCRL can achieve improved training efficiency and robustness for deep reinforcement learning.

Behavioral Correlates of Prioritizing Popularity in Adolescence

NARCIS (Netherlands)

van Den Broek, Nina; Deutz, Marike H F; Schoneveld, Elke A.; Burk, William J.; Cillessen, Antonius H N

2016-01-01

Little is known about individual differences in adolescents’ motivation to achieve and maintain popularity. This study examined the moderating effects of prioritizing popularity on the associations between popularity and adjustment outcomes in late adolescence. Participants were 314 Dutch

Prioritizing emerging zoonoses in the Netherlands.

Directory of Open Access Journals (Sweden)

Arie H Havelaar

Full Text Available BACKGROUND: To support the development of early warning and surveillance systems of emerging zoonoses, we present a general method to prioritize pathogens using a quantitative, stochastic multi-criteria model, parameterized for the Netherlands. METHODOLOGY/PRINCIPAL FINDINGS: A risk score was based on seven criteria, reflecting assessments of the epidemiology and impact of these pathogens on society. Criteria were weighed, based on the preferences of a panel of judges with a background in infectious disease control. CONCLUSIONS/SIGNIFICANCE: Pathogens with the highest risk for the Netherlands included pathogens in the livestock reservoir with a high actual human disease burden (e.g. Campylobacter spp., Toxoplasma gondii, Coxiella burnetii or a low current but higher historic burden (e.g. Mycobacterium bovis, rare zoonotic pathogens in domestic animals with severe disease manifestations in humans (e.g. BSE prion, Capnocytophaga canimorsus as well as arthropod-borne and wildlife associated pathogens which may pose a severe risk in future (e.g. Japanese encephalitis virus and West-Nile virus. These agents are key targets for development of early warning and surveillance.

Summary of the systems prioritization method (SPM) as a decision-aiding tool for the Waste Isolation Pilot Plant

International Nuclear Information System (INIS)

Boak, D.M.; Prindle, N.H.; Lincoln, R.; Mendenhall, F.; Weiner, R.; Bills, R.A.

1996-01-01

In March 1994, the Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance-based planning method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) project with respect to applicable Environmental Protection Agency (EPA) long-term performance requirements stated in 40 CFR 191.13(a) and 40 CFR 268.6. This method, the Systems Prioritization Method (SPM), was designed by Sandia National Laboratories (SNL) to: (1) identify programmatic options (activities) and their costs and durations; (2) analyze potential combinations of activities in terms of predicted contribution to long-term performance; and (3) analyze cost, duration, and performance tradeoffs. SPM results were the basis for recommendations to DOE/CAO in May 1995 for prioritization within the WIPP project. This paper presents a summary of the SPM implementation, key results, and lessons learned

The Effect of a Workload-Preview on Task-Prioritization and Task-Performance

Science.gov (United States)

Minotra, Dev

2012-01-01

With increased volume and sophistication of cyber attacks in recent years, maintaining situation awareness and effective task-prioritization strategy is critical to the task of cybersecurity analysts. However, high levels of mental-workload associated with the task of cybersecurity analyst's limits their ability to prioritize tasks.…

Split diversity in constrained conservation prioritization using integer linear programming.

Science.gov (United States)

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.

Prioritizing Public- Private Partnership Models for Public Hospitals of Iran Based on Performance Indicators

Directory of Open Access Journals (Sweden)

Mohammad Asghari Jaafarabadi

2012-12-01

Full Text Available Background: The present study was conducted to scrutinize Public- Private Partnership (PPP models in public hospitals of different countries based on performance indicators in order to se-lect appropriated models for Iran hospitals.Methods: In this mixed (quantitative-qualitative study, systematic review and expert panel hasbeen done to identify varied models of PPP as well as performance indicators. In the second stepwe prioritized performance indicator and PPP models based on selected performance indicatorsby Analytical Hierarchy process (AHP technique. The data were analyzed by Excel 2007 andExpert Choice11 software’s.Results: In quality – effectiveness area, indicators like the rate of hospital infections(100%, hospital accidents prevalence rate (73%, pure rate of hospital mortality (63%, patientsatisfaction percentage (53%, in accessibility equity area indicators such as average inpatientwaiting time (100% and average outpatient waiting time (74%, and in financial – efficiency area,indicators including average length of stay (100%, bed occupation ratio (99%, specific incometo total cost ratio (97% have been chosen to be the most key performance indicators. In the prioritizationof the PPP models clinical outsourcing, management, privatization, BOO (build, own,operate and non-clinical outsourcing models, achieved high priority for various performance indicatorareas.Conclusion: This study had been provided the most common PPP options in the field of public hospitals and had gathered suitable evidences from experts for choosing appropriate PPP option for public hospitals. Effect of private sector presence in public hospital performance, based on which PPP options undertaken, will be different.

Prioritizing public- private partnership models for public hospitals of iran based on performance indicators.

Science.gov (United States)

Gholamzadeh Nikjoo, Raana; Jabbari Beyrami, Hossein; Jannati, Ali; Asghari Jaafarabadi, Mohammad

2012-01-01

The present study was conducted to scrutinize Public- Private Partnership (PPP) models in public hospitals of different countries based on performance indicators in order to se-lect appropriated models for Iran hospitals. In this mixed (quantitative-qualitative) study, systematic review and expert panel has been done to identify varied models of PPP as well as performance indicators. In the second step we prioritized performance indicator and PPP models based on selected performance indicators by Analytical Hierarchy process (AHP) technique. The data were analyzed by Excel 2007 and Expert Choice11 software's. In quality - effectiveness area, indicators like the rate of hospital infections (100%), hospital accidents prevalence rate (73%), pure rate of hospital mortality (63%), patient satisfaction percentage (53%), in accessibility equity area indicators such as average inpatient waiting time (100%) and average outpatient waiting time (74%), and in financial - efficiency area, indicators including average length of stay (100%), bed occupation ratio (99%), specific income to total cost ratio (97%) have been chosen to be the most key performance indicators. In the pri¬oritization of the PPP models clinical outsourcing, management, privatization, BOO (build, own, operate) and non-clinical outsourcing models, achieved high priority for various performance in¬dicator areas. This study had been provided the most common PPP options in the field of public hospitals and had gathered suitable evidences from experts for choosing appropriate PPP option for public hospitals. Effect of private sector presence in public hospital performance, based on which PPP options undertaken, will be different.

Maintenance of Certification Part 4 Credit and recruitment for practice-based research.

Science.gov (United States)

Gorzkowski, Julie A; Klein, Jonathan D; Harris, Donna L; Kaseeska, Kristen R; Whitmore Shaefer, Regina M; Bocian, Alison B; Davis, James B; Gotlieb, Edward M; Wasserman, Richard C

2014-10-01

Competing priorities in pediatric practice have created challenges for practice-based research. To increase recruitment success, researchers must design studies that provide added value to participants. This study evaluates recruitment of pediatricians into a study, before and after the development and addition of a quality improvement (QI) curriculum approved for American Board of Pediatrics Maintenance of Certification (MOC) Part 4 Credit as an enrollment incentive. Researchers implemented multiple outreach methods to enroll pediatric practices over 28 months. Field note review revealed that many physicians declined enrollment, stating that they prioritized MOC Part 4 projects over research studies. A QI curriculum meeting standards for MOC Part 4 Credit was developed and added to the study protocol as an enrollment incentive. Enrollment rates and characteristics of practitioners enrolled pre- and post-MOC were compared. Pre-MOC enrollment contributed 48% of practices in 22 months; post-MOC enrollment contributed 49% of practices in 6 months. An average of 3.5 practices enrolled per month pre-MOC, compared with 13.1 per month post-MOC (P recruitment success and increased enrollment of pediatricians working in underserved areas. Including QI initiatives meeting MOC Part 4 criteria in practice-based research protocols may enhance participation and aid in recruiting diverse practice and patient populations. Copyright © 2014 by the American Academy of Pediatrics.

Summary of the systems prioritization method as a decision-aiding method for the waste isolation pilot plant

International Nuclear Information System (INIS)

Boak, D.M.; Prindle, N.H.; Lincoln, R.

1996-12-01

In March 1994, the U.S. Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance-based decision-aiding method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) Project with respect to applicable U.S. Environmental Protection Agency (EPA) long-term performance requirements in 40 CFR 191.13(a) (radionuclide containment requirements) and 40 CFR 268.6 (hazardous constituent concentration requirements). This method, the Systems Prioritization Method (SPM), was designed by Sandia National Laboratories (SNL) to: (1) identify programmatic options (activities) and their costs and durations; (2) analyze combinations of activities (activity sets) in terms of their predicted contribution to long-term performance of the WIPP disposal system; and (3) analyze cost, duration, and performance tradeoffs. The results of the second iteration of SPM (SPM-2) were the basis for recommendations to DOE/CAO in May 1995 for programmatic prioritization within the WIPP project. This paper presents a summary of the SPM implementation, key results, and lessons learned

Summary of the systems prioritization method as a decision-aiding method for the waste isolation pilot plant

Energy Technology Data Exchange (ETDEWEB)

Boak, D.M.; Prindle, N.H.; Lincoln, R. [and others

1996-12-01

In March 1994, the U.S. Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance-based decision-aiding method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) Project with respect to applicable U.S. Environmental Protection Agency (EPA) long-term performance requirements in 40 CFR 191.13(a) (radionuclide containment requirements) and 40 CFR 268.6 (hazardous constituent concentration requirements). This method, the Systems Prioritization Method (SPM), was designed by Sandia National Laboratories (SNL) to: (1) identify programmatic options (activities) and their costs and durations; (2) analyze combinations of activities (activity sets) in terms of their predicted contribution to long-term performance of the WIPP disposal system; and (3) analyze cost, duration, and performance tradeoffs. The results of the second iteration of SPM (SPM-2) were the basis for recommendations to DOE/CAO in May 1995 for programmatic prioritization within the WIPP project. This paper presents a summary of the SPM implementation, key results, and lessons learned.

The development and application of a prioritization methodology for the decommissioning of the Iraq Former Nuclear Complex

International Nuclear Information System (INIS)

Jarjies, A.; Abbas, M.; Fernandes, H.M.; Coates, R.

2008-01-01

There are a number of sites in Iraq which have been used for nuclear activities and which contain potentially significant amounts of radioactive waste. The principal nuclear site is Al-Tuwaitha, the former nuclear research centre which contains about 18 facilities including research reactors, hot cells and waste treatment and storage facilities. There are a further nine sites identified in the country which principally processed uranic material. Many of these sites suffered substantial physical damage during the Gulf Wars and have been subjected to subsequent looting. All require decommissioning in order to ensure both radiological and non-radiological safety. However, it is not possible to undertake the decommissioning of all sites and facilities at the same time. A prioritization methodology has therefore been developed in order to aid the decision-making process. The process comprises three principal stages of assessment: A quantitative surrogate risk assessment based primarily on radiological risk, but also taking account of other hazards; A range of sensitivity analyses to assess the robustness of the quantitative assessment, motivated by the present incomplete and uncertain data set on which the assessment is based; The inclusion of qualitative Other Modifying Factors, e g., social, political and pragmatic management inputs, which can have a significant influence on the prioritization ranking resulting from the above quantitative assessment. The output from this prioritization methodology has robustly identified and consistently ranked a group of Tuwaitha facilities with the highest risk, followed by a middle ranking grouping of Tuwaitha facilities and some other sites, and a relatively large group of lower risk facilities and sites. However, the initial order of priority for undertaking dismantling and decommissioning work has crucially been influenced by some of the Other Modifying Factors. In particular, given Iraq's isolation from the international

The development and application of a prioritization methodology for the decommissioning of the Iraq Former Nuclear Complex

Energy Technology Data Exchange (ETDEWEB)

Jarjies, A. [Ministry of Science and Technology (MoST), Baghdad (Iraq); Abbas, M. [Consultant to MoST, Baghdad (Iraq); Fernandes, H.M. [lnternational Atomic Energy Agency, Vienna (Austria); Coates, R. [Formerly with the International Atomic Energy Agency, Vienna (Austria)

2008-07-01

There are a number of sites in Iraq which have been used for nuclear activities and which contain potentially significant amounts of radioactive waste. The principal nuclear site is Al-Tuwaitha, the former nuclear research centre which contains about 18 facilities including research reactors, hot cells and waste treatment and storage facilities. There are a further nine sites identified in the country which principally processed uranic material. Many of these sites suffered substantial physical damage during the Gulf Wars and have been subjected to subsequent looting. All require decommissioning in order to ensure both radiological and non-radiological safety. However, it is not possible to undertake the decommissioning of all sites and facilities at the same time. A prioritization methodology has therefore been developed in order to aid the decision-making process. The process comprises three principal stages of assessment: A quantitative surrogate risk assessment based primarily on radiological risk, but also taking account of other hazards; A range of sensitivity analyses to assess the robustness of the quantitative assessment, motivated by the present incomplete and uncertain data set on which the assessment is based; The inclusion of qualitative Other Modifying Factors, e g., social, political and pragmatic management inputs, which can have a significant influence on the prioritization ranking resulting from the above quantitative assessment. The output from this prioritization methodology has robustly identified and consistently ranked a group of Tuwaitha facilities with the highest risk, followed by a middle ranking grouping of Tuwaitha facilities and some other sites, and a relatively large group of lower risk facilities and sites. However, the initial order of priority for undertaking dismantling and decommissioning work has crucially been influenced by some of the Other Modifying Factors. In particular, given Iraq's isolation from the international

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

Science.gov (United States)

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.

A stakeholder-informed approach to the identification of criteria for the prioritization of zoonoses in Canada.

Directory of Open Access Journals (Sweden)

Victoria Ng

Full Text Available 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.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.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

The Limits of Visual Working Memory in Children: Exploring Prioritization and Recency Effects with Sequential Presentation

Science.gov (United States)

Berry, Ed D. J.; Waterman, Amanda H.; Baddeley, Alan D.; Hitch, Graham J.; Allen, Richard J.

2018-01-01

Recent research has demonstrated that, when instructed to prioritize a serial position in visual working memory (WM), adults are able to boost performance for this selected item, at a cost to nonprioritized items (e.g., Hu, Hitch, Baddeley, Zhang, & Allen, 2014). While executive control appears to play an important role in this ability, the…

Prioritization strategies in clinical practice guidelines development: a pilot study

Directory of Open Access Journals (Sweden)

Torres Marcela

2010-03-01

Full Text Available Abstract Objective Few methodological studies address the prioritization of clinical topics for the development of Clinical Practice Guidelines (CPGs. The aim of this study was to validate a methodology for Priority Determination of Topics (PDT of CPGs. Methods and results Firstly, we developed an instrument for PDT with 41 criteria that were grouped under 10 domains, based on a comprehensive systematic search. Secondly, we performed a survey of stakeholders involved in CPGs development, and end users of guidelines, using the instrument. Thirdly, a pilot testing of the PDT procedure was performed in order to choose 10 guideline topics among 34 proposed projects; using a multi-criteria analysis approach, we validated a mechanism that followed five stages: determination of the composition of groups, item/domain scoring, weights determination, quality of the information used to support judgments, and finally, topic selection. Participants first scored the importance of each domain, after which four different weighting procedures were calculated (including the survey results. The process of weighting was determined by correlating the data between them. We also reported the quality of evidence used for PDT. Finally, we provided a qualitative analysis of the process. The main domains used to support judgement, having higher quality scores and weightings, were feasibility, disease burden, implementation and information needs. Other important domains such as user preferences, adverse events, potential for health promotion, social effects, and economic impact had lower relevance for clinicians. Criteria for prioritization were mainly judged through professional experience, while good quality information was only used in 15% of cases. Conclusion The main advantages of the proposed methodology are supported by the use of a systematic approach to identify, score and weight guideline topics selection, limiting or exposing the influence of personal biases

Sustainability Decision Support Framework for Industrial System Prioritization

DEFF Research Database (Denmark)

Ren, Jingzheng; Wei, Shunan; Goodsite, Michael Evan

2016-01-01

A multicriteria decision-making methodology for the sustainability prioritization of industrial systems is proposed. The methodology incorporates a fuzzy Analytic Hierarchy Process method that allows the users to assess the soft criteria using linguistic terms. A fuzzy Analytic Network Process...... method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The Preference Ranking Organization Method for Enrichment Evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover......, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches...

A GIS Approach to Prioritizing Habitat for Restoration Using Neotropical Migrant Songbird Criteria

Science.gov (United States)

Holzmueller, Eric J.; Gaskins, Michael D.; Mangun, Jean C.

2011-07-01

Restoration efforts to increase wildlife habitat quality in agricultural landscapes have limited funding and are typically done on a first come, first serve basis. In order to increase the efficiency of these restoration efforts, a prioritized ranking system is needed to obtain the greatest increase in habitat quality possible for the fewest amount of hectares restored. This project examines the use of a GIS based multi-criteria approach to prioritize lands for reforestation along the Kaskaskia River in Illinois. Loss of forested area and corresponding increase in forest fragmentation has decreased songbird habitat quality across the Midwestern United States. We prioritized areas for reforestation based on nine landscape metrics: available agricultural land, forest cover gaps, edge density, proximity to river, 200 m corridor area, total forest core area, fringe core area, distance to primary core value, and primary core area. The multi-criteria analysis revealed that high priority areas for reforestation were most likely to be close to the riparian corridor and existing large blocks of forest. Analysis of simulated reforestation (0, 0.5, 1.0, 5.0 10.0, 25.0, and 50.0% of highest priority parcels reforested) revealed different responses for multiple landscape metrics used to quantify forest fragmentation following reforestation, but indicated that the study area would get the greatest rate of return on reforestation efforts by reforesting 10.0% of the highest priority areas. This project demonstrates how GIS and a multi-criteria analysis approach can be used to increase the efficiency of restoration projects. This approach should be considered by land managers when attempting to identify the location and quantity of area for restoration within a landscape.

Prioritizing Acquisition Pathways in the State Level Concept

Energy Technology Data Exchange (ETDEWEB)

Murphy, Chantell L. [Los Alamos National Laboratory; Budlong-Sylvester, Kory [Los Alamos National Laboratory; Pilat, Joseph F. [Los Alamos National Laboratory

2012-06-27

The International Atomic Energy Agency's (IAEA) Department of Safeguards has launched a project to further develop the State-level concept for the planning, implementation, and evaluation of safeguards activities. In order to further evolve the safeguards system an emphasis is placed on integrating inspection-related activities and the State evaluation process to draw safeguards conclusions in the most efficient way. The credible implementation of acquisition pathway analysis is central to the success of the IAEA's State-level concept. NNSA's Office of Nuclear Safeguards and Security (NA-241) The Next Generation Safeguards Initiative (NGSI) is sponsoring Los Alamos National Laboratory (LANL) to produce a study that will examine the use of acquisition pathway analysis in: (1) Developing a State-specific, State-level approach (SLA) and Annual Implementation Plan (AIP); (2) Maximizing the utility of the physical model; and (3) Supporting resource allocation decisions through a pathway prioritization. To deal with the challenge of developing an effective and efficient SLA, this study looks at: (1) Prioritizing proliferation pathways based on an assessment of a State's capabilities and assumed proliferation strategies; and (2) Relevant State behavior (e.g., transparency, cooperation, etc.) while avoiding subjective judgments about States themselves. The study makes use of case studies and concrete examples in order to illustrate how new concepts and approaches will be implemented, and how they may differ from more traditional safeguards approaches.

What Goes Around: the process of building a community-based harm reduction research project.

Science.gov (United States)

Jalloh, Chelsea; Illsley, Shohan; Wylie, John; Migliardi, Paula; West, Ethan; Stewart, Debbie; Mignone, Javier

2017-11-16

Often, research takes place on underserved populations rather than with underserved populations. This approach can further isolate and stigmatize groups that are already made marginalized. What Goes Around is a community-based research project that was led by community members themselves (Peers). This research aimed to implement a community-based research methodology grounded in the leadership and growing research capacity of community researchers and to investigate a topic which community members identified as important and meaningful. Chosen by community members, this project explored how safer sex and safer drug use information is shared informally among Peers. Seventeen community members actively engaged as both community researchers and research participants throughout all facets of the project: inception, implementation, analysis, and dissemination of results. Effective collaboration between community researchers, a community organization, and academics facilitated a research process in which community members actively guided the project from beginning to end. The methods used in What Goes Around demonstrated that it is not only possible, but advantageous, to draw from community members' involvement and direction in all stages of a community-based research project. This is particularly important when working with a historically underserved population. Purposeful and regular communication among collaborators, ongoing capacity building, and a commitment to respect the experience and expertise of community members were essential to the project's success. This project demonstrated that community members are highly invested in both informally sharing information about safer sex and safer drug use and taking leadership roles in directing research that prioritizes harm reduction in their communities.

Prioritizing the effective factors on projectile performance by combination of Analytical Hierarchy Process (AHP method and design of experiment of Taguchi Case study: selected aerospace industries

Directory of Open Access Journals (Sweden)

saberreza bahrami

2016-02-01

Full Text Available The purpose of this research is to prioritize the effective factors in projectile performance. Prioritizing of these factors whit combination of Analytical Hierarchy Process (AHP method and design of experiment Of Taguchi help designers to develop the performance of projectile structure. According to this that since now, researcher tried to increase the performance of projectile whit change in every factors separately, so in this paper tried whit combination of AHP method and design of experiment of Taguchi , analyzed and prioritized all the effective factors in projectile performance simultaneously. For this purpose first by design of experiment Of Taguchi the influence of every these factors on two criteria of range and drift were calculated and then by AHP method these factors were prioritized. By considering of equal weight for both range and drift, the result shows between 11 factors, Firing Angle whit value of 0.3398, Muzzle Velocity whit value of 0.2918 and Burning Time whit value of 0.1257 were the most influenced factors in projectile performance respectively. Propellant Weight and Wind Velocity factors whit value of 0.0104 and 0.00092 were ranked in tenth and eleventh priority respectively.

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

Science.gov (United States)

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.

Prioritized rule based load management technique for residential building powered by PV/battery system

Directory of Open Access Journals (Sweden)

T.R. Ayodele

2017-06-01

Full Text Available In recent years, Solar Photovoltaic (PV system has presented itself as one of the main solutions to the electricity poverty plaguing the majority of buildings in rural communities with solar energy potential. However, the stochasticity associated with solar PV power output owing to vagaries in weather conditions is a major challenge in the deployment of the systems. This study investigates approach for maximizing the benefits of a Stand-Alone Photovoltaic-Battery (SAPVB system via techniques that provide for optimum energy gleaning and management. A rule-based load management scheme is developed and tested for a residential building. The approach allows load prioritizing and shifting based on certain rules. To achieve this, the residential loads are classified into Critical Loads (CLs and Uncritical Loads (ULs. The CLs are given higher priority and therefore are allowed to operate at their scheduled time while the ULs are of less priority, hence can be shifted to a time where there is enough electric power generation from the PV arrays rather than the loads being operated at the time period set by the user. Four scenarios were created to give insight into the applicability of the proposed rule based load management scheme. The result revealed that when the load management technique is not utilized as in the case of scenario 1 (Base case, the percentage satisfaction of the critical and uncritical loads by the PV system are 49.8% and 23.7%. However with the implementation of the load management scheme in scenarios 2, 3 and 4, the percentage satisfaction of the loads (CLs, ULs are (93.8%, 74.2%, (90.9%, 70.1% and (87.2%, 65.4% for scenarios 2, 3 and 4, respectively.

CREATING A RISK-BASED NETWORK FOR HAZMAT LOGISTICS BY ROUTE PRIORITIZATION WITH AHP

Directory of Open Access Journals (Sweden)

Watchara SATTAYAPRASERT

2008-01-01

A mathematical model, formulated by the criteria priority of each factor and its risk level was used for the prioritization. The results show that participants rank the risk of having a road accident as the top priority, followed by the risk of carriage unit explosion and the consequences of an incident (47.8%, 27.4% and 24.8% respectively. To examine this model, data for logistics of gasoline and diesel fuel in Rayong Province (Thailand were used for the model application. From the calculation, it was possible to reduce the risk of road accidents and the consequences by approximately 6.8% and 38.5% respectively by choosing the best alternative route instead of the current one.

Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best-Worst Scaling.

Science.gov (United States)

Peay, Holly Landrum; Hollin, I L; Bridges, J F P

2016-04-01

Duchenne muscular dystrophy (DMD) is a progressive, fatal pediatric disorder with significant burden on parents. Assessing disease impact can inform clinical interventions. Best-worst scaling (BWS) was used to elicit parental priorities among 16 short-term, DMD-related worries identified through community engagement. Respondents viewed 16 subsets of worries, identified using a balanced, incomplete block design, and identified the most and least worrying items. Priorities were assessed using best-worst scores (spanning +1 to -1) representing the relative number of times items were endorsed as most and least worrying. Independent-sample t-tests compared prioritization of parents with ambulatory and non-ambulatory children. Participants (n = 119) most prioritized worries about weakness progression (BW score = 0.64) and getting the right care over time (BW = 0.25). Compared to parents of non-ambulatory children, parents of ambulatory children more highly prioritized missing treatments (BW = 0.31 vs. 0.13, p < 0.001) and being a good enough parent (BW = 0.06 vs. -0.08, p = 0.010), and less prioritized child feeling like a burden (BW = -0.24 vs. -0.07, p < 0.001). Regardless of child's disease stage, caregiver interventions should address the emotional impact of caring for a child with a progressive, fatal disease. We demonstrate an accessible, clinically-relevant approach to prioritize disease impact using BWS, which offers an alternative to the use of traditional rating/ranking scales.

Prioritization of R and D programs on probabilistic reactor safety

International Nuclear Information System (INIS)

Husseiny, A.A.

1982-01-01

An interactive computer code based on the multiattribute utility theory has been developed with graphic capabilities to use in selection of probabilistic reactor safety RandD programs. Utility values and proper graphic representation are made through lottery games on the computer terminal. The code is applied to prioritize a set of RandD programs on LWR safety based on attributes including regulatory issues, institutional issues and operation problems. The methodology is described here in detail with its applications. Some of the input includes statistical distributions and subjective judgments on institutional issues. The flexibility of the approach provides a tool for decision makers whether on individual or group level to assess LWR safety priorities and continuously update their strategies

Prioritizing ecological restoration among sites in multi-stressor landscapes.

Science.gov (United States)

Neeson, Thomas M; Smith, Sigrid D P; Allan, J David; McIntyre, Peter B

2016-09-01

Most ecosystems are impacted by multiple local and long-distance stressors, many of which interact in complex ways. We present a framework for prioritizing ecological restoration efforts among sites in multi-stressor landscapes. Using a simple model, we show that both the economic and sociopolitical costs of restoration will typically be lower at sites with a relatively small number of severe problems than at sites with numerous lesser problems. Based on these results, we propose using cumulative stress and evenness of stressor impact as complementary indices that together reflect key challenges of restoring a site to improved condition. To illustrate this approach, we analyze stressor evenness across the world's rivers and the Laurentian Great Lakes. This exploration reveals that evenness and cumulative stress are decoupled, enabling selection of sites where remediating a modest number of high-intensity stressors could substantially reduce cumulative stress. Just as species richness and species evenness are fundamental axes of biological diversity, we argue that cumulative stress and stressor evenness constitute fundamental axes for identifying restoration opportunities in multi-stressor landscapes. Our results highlight opportunities to boost restoration efficiency through strategic use of multi-stressor datasets to identify sites that maximize ecological response per stressor remediated. This prioritization framework can also be expanded to account for the feasibility of remediation and the expected societal benefits of restoration projects. © 2016 by the Ecological Society of America.

Researcher Role in Aviation Operations

Science.gov (United States)

2016-05-31

voluminous textbooks and busy scientists wearing white lab coats while talking among themselves. While such impressions may be based on individual...efforts. In the long run, science is driven by societal and market needs that have been identified and prioritized by policymakers, industries, and...national, or international research agendas. Since societal, market , and environmental conditions are DISTRIBUTION STATEMENT A. Approved for

Semantic prioritization of novel causative genomic variants

KAUST Repository

Boudellioua, Imene

2017-04-17

Discriminating the causative disease variant(s) for individuals with inherited or de novo mutations presents one of the main challenges faced by the clinical genetics community today. Computational approaches for variant prioritization include machine learning methods utilizing a large number of features, including molecular information, interaction networks, or phenotypes. Here, we demonstrate the PhenomeNET Variant Predictor (PVP) system that exploits semantic technologies and automated reasoning over genotype-phenotype relations to filter and prioritize variants in whole exome and whole genome sequencing datasets. We demonstrate the performance of PVP in identifying causative variants on a large number of synthetic whole exome and whole genome sequences, covering a wide range of diseases and syndromes. In a retrospective study, we further illustrate the application of PVP for the interpretation of whole exome sequencing data in patients suffering from congenital hypothyroidism. We find that PVP accurately identifies causative variants in whole exome and whole genome sequencing datasets and provides a powerful resource for the discovery of causal variants.

Semantic prioritization of novel causative genomic variants

KAUST Repository

Boudellioua, Imene; Mohamad Razali, Rozaimi; Kulmanov, Maxat; Hashish, Yasmeen; Bajic, Vladimir B.; Goncalves-Serra, Eva; Schoenmakers, Nadia; Gkoutos, Georgios V.; Schofield, Paul N.; Hoehndorf, Robert

2017-01-01

Discriminating the causative disease variant(s) for individuals with inherited or de novo mutations presents one of the main challenges faced by the clinical genetics community today. Computational approaches for variant prioritization include machine learning methods utilizing a large number of features, including molecular information, interaction networks, or phenotypes. Here, we demonstrate the PhenomeNET Variant Predictor (PVP) system that exploits semantic technologies and automated reasoning over genotype-phenotype relations to filter and prioritize variants in whole exome and whole genome sequencing datasets. We demonstrate the performance of PVP in identifying causative variants on a large number of synthetic whole exome and whole genome sequences, covering a wide range of diseases and syndromes. In a retrospective study, we further illustrate the application of PVP for the interpretation of whole exome sequencing data in patients suffering from congenital hypothyroidism. We find that PVP accurately identifies causative variants in whole exome and whole genome sequencing datasets and provides a powerful resource for the discovery of causal variants.

Risk-based prioritization method for the classification of groundwater pesticide pollution from agricultural regions.

Science.gov (United States)

Yang, Yu; Lian, Xin-Ying; Jiang, Yong-Hai; Xi, Bei-Dou; He, Xiao-Song

2017-11-01

Agricultural regions are a significant source of groundwater pesticide pollution. To ensure that agricultural regions with a significantly high risk of groundwater pesticide contamination are properly managed, a risk-based ranking method related to groundwater pesticide contamination is needed. In the present paper, a risk-based prioritization method for the classification of groundwater pesticide pollution from agricultural regions was established. The method encompasses 3 phases, including indicator selection, characterization, and classification. In the risk ranking index system employed here, 17 indicators involving the physicochemical properties, environmental behavior characteristics, pesticide application methods, and inherent vulnerability of groundwater in the agricultural region were selected. The boundary of each indicator was determined using K-means cluster analysis based on a survey of a typical agricultural region and the physical and chemical properties of 300 typical pesticides. The total risk characterization was calculated by multiplying the risk value of each indicator, which could effectively avoid the subjectivity of index weight calculation and identify the main factors associated with the risk. The results indicated that the risk for groundwater pesticide contamination from agriculture in a region could be ranked into 4 classes from low to high risk. This method was applied to an agricultural region in Jiangsu Province, China, and it showed that this region had a relatively high risk for groundwater contamination from pesticides, and that the pesticide application method was the primary factor contributing to the relatively high risk. The risk ranking method was determined to be feasible, valid, and able to provide reference data related to the risk management of groundwater pesticide pollution from agricultural regions. Integr Environ Assess Manag 2017;13:1052-1059. © 2017 SETAC. © 2017 SETAC.

Patient prioritization in medical emergencies: an ethical analysis.

Science.gov (United States)

Fortes, Paulo Antônio de Carvalho; Pereira, Patricia Cristina Andrade

2012-01-01

To identify and analyze, in the light of ethical considerations, the choices and justifications of public health professionals in hypothetical situations of patient prioritization in circumstances of limited resources during emergency medical care. Qualitative and quantitative study, carried out through interviews with 80 public health professionals, graduate students (MSc and PhD students) in public health who were faced with hypothetical situations involving the criteria of gender, age, and responsibility, asked to choose between alternatives that referred to the existence of people, equally submitted to life-threatening situations, who needed care in an emergency department. The choices prioritized children, young individuals, women, and married women, with decision-making invoking the ethical principles of vulnerability, social utility, and equity. The study shows a clear tendency to justify the choices that were made, guided by utilitarian ethics.

Product prioritization in a two-stage food production system with intermediate storage

DEFF Research Database (Denmark)

Akkerman, Renzo; van Donk, Dirk Pieter

2007-01-01

In the food-processing industry, usually a limited number of storage tanks for intermediate storage is available, which are used for different products. The market sometimes requires extremely short lead times for some products, leading to prioritization of these products, partly through...... the performance improvements for the prioritized product, as well as the negative effects for the other products. We also show how the effect decreases with more storage tanks, and increases with more products....... the dedication of a storage tank. This type of situation has hardly been investigated, although planners struggle with it in practice. This paper aims at investigating the fundamental effect of prioritization and dedicated storage in a two-stage production system, for various product mixes. We show...

Prioritizing Test Cases for Memory Leaks in Android Applications

Institute of Scientific and Technical Information of China (English)

Ju Qian; Di Zhou

2016-01-01

Mobile applications usually can only access limited amount of memory. Improper use of the memory can cause memory leaks, which may lead to performance slowdowns or even cause applications to be unexpectedly killed. Although a large body of research has been devoted into the memory leak diagnosing techniques after leaks have been discovered, it is still challenging to find out the memory leak phenomena at first. Testing is the most widely used technique for failure discovery. However, traditional testing techniques are not directed for the discovery of memory leaks. They may spend lots of time on testing unlikely leaking executions and therefore can be inefficient. To address the problem, we propose a novel approach to prioritize test cases according to their likelihood to cause memory leaks in a given test suite. It firstly builds a prediction model to determine whether each test can potentially lead to memory leaks based on machine learning on selected code features. Then, for each input test case, we partly run it to get its code features and predict its likelihood to cause leaks. The most suspicious test cases will be suggested to run at first in order to reveal memory leak faults as soon as possible. Experimental evaluation on several Android applications shows that our approach is effective.

Effects of preference heterogeneity among landowners on spatial conservation prioritization.

Science.gov (United States)

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.

Prioritizing the Applications of Internet of Things Technology in the Healthcare Sector in Iran: A Driver for Sustainable Development

Directory of Open Access Journals (Sweden)

Rohollah Ghasemi

2016-03-01

Full Text Available Pay attention to health care sector is one of the areas of sustainable development in the countries. Internet of Things technology in the health sector has wide variety of applications that was not investigated in Iran. This paper aims to prioritize the applications of internet of things in the healthcare sector in Iran in order to achieve sustainable development. This research is applied and its research method is descriptive. Because of using Fuzzy AHP for ranking alternatives, our research is a single cross-survey. After collecting the agreement paired comparisons questionnaires, weights of criteria were determined and applications of Internet of things in healthcare were prioritized. Our findings show that economic prosperity and quality of life are the most important criteria for sustainable development of Internet of things in healthcare sector in Iran. Also, “Chronic disease management”,“patient surveillance”, “hygienic hand control”, and “fall detection” are the most important priorities for the use of internet of things in healthcare sector in Iran.

Prioritizing connection requests in GMPLS-controlled optical networks

DEFF Research Database (Denmark)

Ruepp, Sarah Renée; Koster, A.; Andriolli, N.

2009-01-01

We prioritize bidirectional connection requests by combining dynamic connection provisioning with off-line optimization. Results show that the proposed approach decreases wavelength-converter usage, thereby allowing operators to reduce blocking-probably under bulk connection assignment or network...

Cross-modal project prioritization : a TPCB peer exchange.

Science.gov (United States)

2015-05-01

This report highlights key recommendations and best practices identified at the peer exchange on Cross-Modal Project Prioritization, held on December 16 and 17, 2014, in Raleigh, North Carolina. This event was sponsored by the Transportation Planning...

Holistic Physical Risk and Crises Prioritization Approaches to Solve Cyber Defense Conundrums

Directory of Open Access Journals (Sweden)

Franco Oboni

2015-08-01

Full Text Available During the last decade the techniques and tools of cyber attacks have become more sophisticated, the distinctions between actors and threats have become blurred and attack prospects more worrying. The informational threat can hit any type of civilian or military controls, fixed or mobile infrastructures, putting them down or greatly reducing their service capabilities with direct and indirect physical / economic impacts from tactical or local scale to strategic / national and international level. It has been shown that broad spectrum protection investments and particularly poorly prioritized ones are not efficient as oftentimes they are limited in scope by other operational requirements. So it is simply not possible to protect each property from each threat. The cyberdefense must be rooted on intelligence based on prioritized Risk Management and not on standardized audits and practice of indolent regulations, written a priori, or the biased advice of fear monger solutions sellers. RM offers ultimately support for operational decisions and protection (mitigation, provided that we want to define the level of acceptable risk reduction /mitigation and that we formulate measurable performance targets to achieve .

Risk-based prioritization for the interim remediation of inactive low-level liquid radioactive waste underground storage tanks at Oak Ridge National Laboratory, Oak Ridge, Tennessee

International Nuclear Information System (INIS)

Chidambariah, V.; Travis, C.C.; Trabalka, J.R.; Thomas, J.K.

1992-09-01

The paper presents a risk-based approach for rapid prioritization of low-level liquid radioactive waste underground storage tanks (LLLW USTs), for possible interim corrective measures and/or ultimate closure. The ranking of LLLW USTs is needed to ensure that tanks with the greatest potential for adverse impact on the environment and human health receive top priority for further evaluation and remediation. Wastes from the LLLW USTs at Oak Ridge National Laboratory were pumped out when the tanks were removed from service. The residual liquids and sludge contain a mixture of radionuclides and chemicals. Contaminants of concern that were identified in the liquid phase of the inactive LLLW USTs include the radionuclides 90 Sr, 137 Cs, and 233 U and the chemicals carbon tetrachloride, trichloroethane, tetrachloroethene, methyl ethyl ketone, mercury, lead, and chromium. The risk-based approach for prioritization of the LLLW USTs is based upon three major criteria: (1) leaking characteristics of the tank, (2) location of the tanks, and (3) toxic potential of the tank contents. Leaking characteristics of LLLW USTs will aid in establishing the potential for the release of contaminants to environmental media. In this study, only the liquid phase was assumed to be released to the environment. Scoring criteria for release potential of LLLW USTs was determined after consideration of the magnitude of any known leaks and the tank type for those that are not known to leak

Importance measures-based prioritization for improving the performance of multi-state systems: application to the railway industry

International Nuclear Information System (INIS)

Zio, Enrico; Marella, Marco; Podofillini, Luca

2007-01-01

The railway industry is undertaking significant efforts in the application of reliability-based and risk-informed approaches for rationalizing operation costs and safety requirements. In this respect, importance measures can bring valuable information for identifying the actions to take for most effective system improvement. In this paper, the railway network is modelled within a multi-state perspective in which each rail section is treated as a component, which can stay in different discrete states representing the speed values at which the section can be travelled, depending on the tracks degradation and on the traffic conditions. The Monte Carlo method is used to simulate the complex stochastic dynamics of such multi-state system. A prioritization of the rail sections based on importance measures is then used to most effectively improve the performance of the rail network, in terms of a decrease in the overall trains delay. High-importance sections, i.e. with highest impact on the overall delay, are considered for a relaxation of their speed restrictions and the proposed changes are then verified, from the risk-informed perspective, to have negligible impact on the risk associated to the rail infrastructure

Establishing and prioritizing research questions for the prevention, diagnosis and treatment of hair loss (excluding alopecia areata): the Hair Loss Priority Setting Partnership.

Science.gov (United States)

Macbeth, A; Tomlinson, J; Messenger, A; Moore-Millar, K; Michaelides, C; Shipman, A; Kassim, J; Brockley, J; Szczecinska, W; Farrant, P; Robinson, R; Rodgers, J; Chambers, J; Upadhyaya, S; Harries, M

2018-02-01

Hair and scalp problems are common. Unfortunately, many uncertainties exist around the most effective management and treatment strategies for these disorders. To identify uncertainties in hair-loss management, prevention, diagnosis and treatment that are important to both people with hair loss and healthcare professionals. A Hair Loss Priority Setting Partnership was established between patients, their carers and relatives, and healthcare professionals to identify the most important uncertainties in hair loss. The methodology of the James Lind Alliance was followed to ensure a balanced, inclusive and transparent process. In total, 2747 treatment uncertainties were submitted by 912 participants; following exclusions 884 uncertainties relating to hair loss (excluding alopecia areata) were analysed. Questions were combined into 'indicative uncertainties' following a structured format. A series of ranking exercises further reduced this list to a top 25 that was taken to a final prioritization workshop where the top 10 priorities were agreed. We present the top 10 research priorities for hair loss (excluding alopecia areata) to guide researchers and funding bodies to support studies important to both patients and clinicians. © 2017 British Association of Dermatologists.

Industry-specific risk models for numerical scoring of hazards and prioritization of safety measures

International Nuclear Information System (INIS)

Khali, Y.F.; Johnson, K.

2004-01-01

Risk analysis consists of five cornerstones that have to be viewed in an holistic manner by risk practitioners of any organization regardless of the industry type or nature of its critical infrastructures. The cornerstones are hazard identification, risk assessment and consequence analysis, determination of risk management actions required to reduce risks to acceptable levels, communication of risk insights among the stake-holders, and continuous monitoring and verification to ensure sustained attainment of tolerable risk levels. Our primary objectives in this research are two fold: first, we compare and contrast a wide spectrum of current industry-specific and application-dependent semi-quantitative risk models. Secondly, based on the insights to be gained from the first task, we propose a framework for a robust risk-based approach for conducting security vulnerability assessment (SVA). Risk practitioners of critical infrastructures, such as commercial nuclear power plants, water utilities, chemical plants, transmission and distribution substations... etc., could readily use this proposed approach to classify, evaluate, and prioritize risks to support allocation of resources required to ensure protection of public health and safety. (author)

Guidelines for nuclear-power-plant safety-issue prioritization information development

International Nuclear Information System (INIS)

Andrews, W.B.; Gallucci, R.H.V.; Konzek, G.J.

1983-05-01

This is the second in a series of reports to document the use of a methodology developed by the Pacific Northwest Laboratory to calculate, for prioritization purposes, the risk, dose and cost impacts of implementing resolutions to reactor safety issues. This report contains results of issue-specific analyses for 15 issues. Each issue was considered within the contraints of available information as of September 1982 and two staff-weeks of labor. The results will be referenced, as one consideration in setting priorities for reactor safety issues, in an NRC prioritization report to be published at a future date

Prioritization of Programmer's Productivity Using Analytic Hierarchy ...

African Journals Online (AJOL)

This paper focuses on the application of Analytic Hierarchy Process (AHP) model in the context of prioritizing programmer's productivity in University of Benin, Benin City Nigeria. This is achieved by evaluating the way in which the AHP model can be used to select the best programmer for the purpose of developing software ...

Maximum flow approach to prioritize potential drug targets of Mycobacterium tuberculosis H37Rv from protein-protein interaction network.

Science.gov (United States)

Melak, Tilahun; Gakkhar, Sunita

2015-12-01

In spite of the implementations of several strategies, tuberculosis (TB) is overwhelmingly a serious global public health problem causing millions of infections and deaths every year. This is mainly due to the emergence of drug-resistance varieties of TB. The current treatment strategies for the drug-resistance TB are of longer duration, more expensive and have side effects. This highlights the importance of identification and prioritization of targets for new drugs. This study has been carried out to prioritize potential drug targets of Mycobacterium tuberculosis H37Rv based on their flow to resistance genes. The weighted proteome interaction network of the pathogen was constructed using a dataset from STRING database. Only a subset of the dataset with interactions that have a combined score value ≥770 was considered. Maximum flow approach has been used to prioritize potential drug targets. The potential drug targets were obtained through comparative genome and network centrality analysis. The curated set of resistance genes was retrieved from literatures. Detail literature review and additional assessment of the method were also carried out for validation. A list of 537 proteins which are essential to the pathogen and non-homologous with human was obtained from the comparative genome analysis. Through network centrality measures, 131 of them were found within the close neighborhood of the centre of gravity of the proteome network. These proteins were further prioritized based on their maximum flow value to resistance genes and they are proposed as reliable drug targets of the pathogen. Proteins which interact with the host were also identified in order to understand the infection mechanism. Potential drug targets of Mycobacterium tuberculosis H37Rv were successfully prioritized based on their flow to resistance genes of existing drugs which is believed to increase the druggability of the targets since inhibition of a protein that has a maximum flow to

PHIRST Trial - pharmacist consults: prioritization of HIV-patients with a referral screening tool.

Science.gov (United States)

Awad, Catherine; Canneva, Arnaud; Chiasson, Charles-Olivier; Galarneau, Annie; Schnitzer, Mireille E; Sheehan, Nancy L; Wong, Alison Yj

2017-11-01

The role of pharmacists in HIV outpatient clinics has greatly increased in the past decades. Given the limited resources of the health system, the prioritization of pharmacist consults is now a main concern. This study aimed to create a scoring system allowing for standardized prioritization of pharmacist consults for patients living with HIV. Data was retrospectively collected from 200 HIV patients attending the Chronic Viral Illness Service at the McGill University Health Center. An expert panel consisting of four pharmacists working in the field of HIV prioritized each patient individually, after which a consensus was established and was considered as the gold standard. In order to create a scoring system, two different methods (Delphi, statistical) were used to assign a weight to each characteristic considered to be important in patient prioritization. A third method (equal weight to each characteristic) was also evaluated. The total score per patient for each method was then compared to the expert consensus in order to establish the score cut-offs to indicate the appropriate categories of delay in which to see the patient. All three systems failed to accurately prioritize patients into urgency categories ("less than 48 h", "less than 1 month", "less than 3 months", "no consult required") according to expert pharmacist consensus. The presence of high level interactions between patient characteristics, the limited number of patients and the low prevalence of some characteristics were hypothesized as the main causes for the results. Creating a prioritization tool for pharmacy consults in HIV outpatient clinics is a complex task and developing a decision tree algorithm may be a more appropriate approach in the future to take into account the importance of combinations of patient characteristic.

Aggressive effects of prioritizing popularity in early adolescence

NARCIS (Netherlands)

Cillessen, A.H.N.; Mayeux, L.; Ha, P.T.; Bruyn, E.H. de; LaFontana, K.M.

2014-01-01

This study examined the moderating effects of prioritizing popularity on the association between early adolescents' popularity and their aggressive, leadership, and prosocial behaviors with peers. Participants were 288 14-year-olds from The Netherlands who completed a sociometric instrument and an

Identifying and Prioritizing Cleaner Production Strategies in Raw Materials’ Warehouse of Yazdbaf Textile Company in 2015

OpenAIRE

Mohammad Taghi Ghaneian; Raziye Montazerolfaraj; Hakime Selsele Vaziri; Mohammad Hassan Ehrampoush; Alireza Arsalan; Tahere Zarabie

2017-01-01

Introduction: Cleaner productions in textile industry is achieved by reducing water and chemicals’ consumption, saving energy, reducing production of air pollution and solid wastes, reducing toxicity and noise pollution through many solutions. The purpose of the present research was to apply Strengths, Weaknesses, Opportunities, Threats (SWOT) and Quality Systems Planning Matrix (QSPM) techniques in identifying and prioritizing production in raw materials’ warehouse of Yazdbaf Tex...

Prioritization of chemicals in the aquatic environment based on risk assessment: analytical, modeling and regulatory perspective.

Science.gov (United States)

Guillén, D; Ginebreda, A; Farré, M; Darbra, R M; Petrovic, M; Gros, M; Barceló, D

2012-12-01

The extensive and intensive use of chemicals in our developed, highly technological society includes more than 100,000 chemical substances. Significant scientific evidence has lead to the recognition that their improper use and release may result in undesirable and harmful side-effects on both the human and ecosystem health. To cope with them, appropriate risk assessment processes and related prioritization schemes have been developed in order to provide the necessary scientific support for regulatory procedures. In the present paper, two of the elements that constitute the core of risk assessment, namely occurrence and hazard effects, have been discussed. Recent advances in analytical chemistry (sample pre-treatment and instrumental equipment, etc.) have allowed for more comprehensive monitoring of environmental pollution reaching limits of detection up to sub ng L(-1). Alternative to analytical measurements, occurrence models can provide risk managers with a very interesting approach for estimating environmental concentrations from real or hypothetical scenarios. The most representative prioritization schemes used for issuing lists of concerning chemicals have also been examined and put in the context of existing environmental policies for protection strategies and regulations. Finally, new challenges in the field of risk-assessment have been outlined, including those posed by new materials (i.e., nanomaterials), transformation products, multi-chemical exposure, or extension of the risk assessment process to the whole ecosystem. Copyright © 2012 Elsevier B.V. All rights reserved.

A computer based system for prioritizing pollution prevention opportunity assessments at SNL/NM

International Nuclear Information System (INIS)

Custer, M.S.; Leishman, N.L.; Walsh, M.L.; Nelson, J.D.; Davis, R.L.; Bueno, N.C.

1996-01-01

Prioritizing waste generators is necessary to determine which are the best candidates for Pollution Prevention Opportunity Assessments (PPOAs). This paper describes the Sandia National Laboratories/New Mexico (SNL/NM) PPOA Ranking System. The system uses a multimedia approach that considers hazardous and radioactive waste disposal data, and hazardous chemical usage data (from which air emissions are extrapolated). Pollution prevention information is included, from the SNL Pollution Prevention Opportunities database that identifies waste streams that have readily apparent pollution prevention opportunities. The system also considers the relative costs of waste management and the chargeback fees paid for waste generation. From these data, organizations are ranked with an algorithm developed in Microsoft Access trademark on a personal computer. The concept could readily be transferred to other facilities needing to decide where to perform PPOAs

Identifying essential proteins based on sub-network partition and prioritization by integrating subcellular localization information.

Science.gov (United States)

Li, Min; Li, Wenkai; Wu, Fang-Xiang; Pan, Yi; Wang, Jianxin

2018-06-14

Essential proteins are important participants in various life activities and play a vital role in the survival and reproduction of living organisms. Identification of essential proteins from protein-protein interaction (PPI) networks has great significance to facilitate the study of human complex diseases, the design of drugs and the development of bioinformatics and computational science. Studies have shown that highly connected proteins in a PPI network tend to be essential. A series of computational methods have been proposed to identify essential proteins by analyzing topological structures of PPI networks. However, the high noise in the PPI data can degrade the accuracy of essential protein prediction. Moreover, proteins must be located in the appropriate subcellular localization to perform their functions, and only when the proteins are located in the same subcellular localization, it is possible that they can interact with each other. In this paper, we propose a new network-based essential protein discovery method based on sub-network partition and prioritization by integrating subcellular localization information, named SPP. The proposed method SPP was tested on two different yeast PPI networks obtained from DIP database and BioGRID database. The experimental results show that SPP can effectively reduce the effect of false positives in PPI networks and predict essential proteins more accurately compared with other existing computational methods DC, BC, CC, SC, EC, IC, NC. Copyright © 2018 Elsevier Ltd. All rights reserved.

Dual-Task Walking in Challenging Environments in People with Stroke: Cognitive-Motor Interference and Task Prioritization

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Celine Timmermans

2018-01-01

Full Text Available Cognitive-motor interference may contribute to the risk of falling in people with stroke, as may be the associated phenomenon of inappropriate task prioritization. Examining dual-task walking could provide valuable insights as to how to best evaluate and treat walking in people with stroke. This study aimed to examine the effect of different walking environments on cognitive-motor interference and task prioritization in dual-task walking in people with stroke. Using a repeated-measures design, cognitive-motor interference and task prioritization were assessed in 30 stroke survivors, while walking in a plain environment and in two challenging environments that were enriched with either stationary physical context or suddenly appearing projector-augmented context. All three walking environment conditions were performed with and without a concurrent serial-3 subtraction task. We found stronger cognitive-motor interference for the two challenging environments than for the plain walking environment. Cognitive-motor interference did not differ between challenging walking environments, but task prioritization did: motor performance was prioritized more in the environment with physical context than in the environment with projector-augmented context and vice versa for cognitive-task performance. In conclusion, walking environment strongly influenced cognitive-motor interference and task prioritization during dual-task walking in people with stroke.

Roles Prioritization of Hydrogen Production Technologies for Promoting Hydrogen Economy in the Current State of China

DEFF Research Database (Denmark)

Ren, Jingzheng; Gao, Suzhao; Tan, Shiyu

2015-01-01

Hydrogen production technologies play an important role in the hydrogen economy of China. However, the roles of different technologies played in promoting the development of hydrogen economy are different. The role prioritization of various hydrogen production technologies is of vital importance...... information. The prioritization results by using the proposed method demonstrated that the technologies of coal gasification with CO2 capture and storage and hydropower-based water electrolysis were regarded as the two most important hydrogen production pathways for promoting the development of hydrogen...... for the stakeholders/decision-makers to plan the development of hydrogen economy in China and to allocate the finite R&D budget reasonably. In this study, DPSIR framework was firstly used to identify the key factors concerning the priorities of various hydrogen production technologies; then, a fuzzy group decision...

Experimentation on accuracy of non functional requirement prioritization approaches for different complexity projects

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Raj Kumar Chopra

2016-09-01

Full Text Available Non functional requirements must be selected for implementation together with functional requirements to enhance the success of software projects. Three approaches exist for performing the prioritization of non functional requirements using the suitable prioritization technique. This paper performs experimentation on three different complexity versions of the industrial software project using cost-value prioritization technique employing three approaches. Experimentation is conducted to analyze the accuracy of individual approaches and the variation of accuracy with the complexity of the software project. The results indicate that selecting non functional requirements separately, but in accordance with functionality has higher accuracy amongst the other two approaches. Further, likewise other approaches, it witnesses the decrease in accuracy with increase in software complexity but the decrease is minimal.

Using Alternative Approaches to Prioritize Testing for the Universe of Chemicals with Potential for Human Exposure (WC9)

Science.gov (United States)

One use of alternative methods is to target animal use at only those chemicals and tests that are absolutely necessary. We discuss prioritization of testing based on high-throughput screening assays (HTS), QSAR modeling, high-throughput toxicokinetics (HTTK), and exposure modelin...

CONSIDERATIONS ON THE METHODOLOGY FOR IDENTIFYING AND PRIORITIZING PUBLIC INVESTMENT PROJECTS IN ROMANIA

OpenAIRE

Tudor Nistorescu; Marilena Bogheanu

2012-01-01

The optimization of the investment project pipeline of public administration is a key issue for member states, including Romania, in the current European Union policy. Solving this problem depends largely on the establishment of an appropriate methodological framework for identifying and prioritizing projects and development programs. Based on the new requirements imposed by the European Commission for the next financial cycle 2014-2020, in this article we propose solutions for improving the ...

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

Science.gov (United States)

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

Baseline Assessment and Prioritization Framework for IVHM Integrity Assurance Enabling Capabilities

Science.gov (United States)

Cooper, Eric G.; DiVito, Benedetto L.; Jacklin, Stephen A.; Miner, Paul S.

2009-01-01

Fundamental to vehicle health management is the deployment of systems incorporating advanced technologies for predicting and detecting anomalous conditions in highly complex and integrated environments. Integrated structural integrity health monitoring, statistical algorithms for detection, estimation, prediction, and fusion, and diagnosis supporting adaptive control are examples of advanced technologies that present considerable verification and validation challenges. These systems necessitate interactions between physical and software-based systems that are highly networked with sensing and actuation subsystems, and incorporate technologies that are, in many respects, different from those employed in civil aviation today. A formidable barrier to deploying these advanced technologies in civil aviation is the lack of enabling verification and validation tools, methods, and technologies. The development of new verification and validation capabilities will not only enable the fielding of advanced vehicle health management systems, but will also provide new assurance capabilities for verification and validation of current generation aviation software which has been implicated in anomalous in-flight behavior. This paper describes the research focused on enabling capabilities for verification and validation underway within NASA s Integrated Vehicle Health Management project, discusses the state of the art of these capabilities, and includes a framework for prioritizing activities.

Risk Factors of Building Apartments for University Talent through the Agent Construction Mode in China: Interrelationship and Prioritization

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Zhengrong Liu

2016-03-01

Full Text Available Apartments for university talent (AUT, are apartments provided to staff at non-market price, in order to attract outstanding scholars from around the world to work in universities and improve educational quality. This has been a critical issue in achieving social sustainability in China during rapid urbanization and industrialization. The agent construction mode has been adopted to build AUT because universities usually lack relevant management experience. The agent construction mode is a type of turnkey engineer construction based on the principal-agent model, project bidding mode, engineering contracting projects, and project supervision system. Risk factors are important considerations for both universities and agent construction companies. Although some studies have investigated the risk factors, only a few studies have identified the hierarchical structure of relevant risk factors. Therefore, the interrelationship and prioritization of the risk factors remain unknown, and this situation presents a barrier to better risk management. This paper investigates the interrelationship of risk factors with interpretative structural modeling (ISM. In addition, fuzzy MICMAC (matric d’impacts croises-multiplication appliqué a un classemen analysis was conducted to prioritize the risk factors. The findings provide useful references for better risk management of building AUT through the agent construction mode. Although this study focuses on China, the analytical process can also be generalized to other research topics and other countries.

Comparison of methods for prioritizing risk in radiation oncology

International Nuclear Information System (INIS)

Biazotto, Bruna; Tokarski, Marcio

2016-01-01

Proactive risk management tools, such as Failure Mode and Effect Analysis (FEMA), were imported from engineering and have been widely used in Radiation Oncology. An important step in this process is the risk prioritization and there are many methods to do that. This paper compares the risk prioritization of computerized planning phase in interstitial implants with high dose rate brachytherapy performed with Health Care Failure Mode and Effect Analysis (HFMEA) and FMEA with guidelines given by the Task Group 100 (TG 100) of the American Association of Physicists in Medicine. Out of the 33 possible failure modes of this process, 21 require more attention when evaluated by HFMEA and 22, when evaluated by FMEA TG 100. Despite the high coincidence between the methods, the execution of HFMEA was simpler. (author)

Experiences and wisdom behind the numbers: qualitative analysis of the National Action Alliance for Suicide Prevention's Research Prioritization Task Force stakeholder survey.

Science.gov (United States)

Booth, Chelsea L

2014-09-01

The Research Prioritization Task Force of the National Action Alliance for Suicide Prevention conducted a stakeholder survey including 716 respondents from 49 U.S. states and 18 foreign countries. To conduct a qualitative analysis on responses from individuals representing four main stakeholder groups: attempt and loss survivors, researchers, providers, and policy/administrators. This article focuses on a qualitative analysis of the early-round, open-ended responses collected in a modified online Delphi process, and, as an illustration of the research method, focuses on analysis of respondents' views of the role of life and emotional skills in suicide prevention. Content analysis was performed using both inductive and deductive code and category development and systematic qualitative methods. After the inductive coding was completed, the same data set was re-coded using the 12 Aspirational Goals (AGs) identified by the Delphi process. Codes and thematic categories produced from the inductive coding process were, in some cases, very similar or identical to the 12 AGs (i.e., those dealing with risk and protective factors, provider training, preventing reattempts, and stigma). Other codes highlighted areas that were not identified as important in the Delphi process (e.g., cultural/social factors of suicide, substance use). Qualitative and mixed-methods research are essential to the future of suicide prevention work. By design, qualitative research is explorative and appropriate for complex, culturally embedded social issues such as suicide. Such research can be used to generate hypotheses for testing and, as in this analysis, illuminate areas that would be missed in an approach that imposed predetermined categories on data. Published by Elsevier Inc.

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

Science.gov (United States)

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

Investigation of the molecular relationship between breast cancer and obesity by candidate gene prioritization methods

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Saba Garshasbi

2015-10-01

Full Text Available Background: Cancer and obesity are two major public health concerns. More than 12 million cases of cancer are reported annually. Many reports confirmed obesity as a risk factor for cancer. The molecular relationship between obesity and breast cancer has not been clear yet. The purpose of this study was to investigate priorities of effective genes in the molecular relationship between obesity and breast cancer. Methods: In this study, computer simulation method was used for prioritizing the genes that involved in the molecular links between obesity and breast cancer in laboratory of systems biology and bioinformatics (LBB, Tehran University, Tehran, Iran, from March to July 2014. In this study, ENDEAVOUR software was used for prioritizing the genes and integrating multiple data sources was used for data analysis. Training genes were selected from effective genes in obesity and/or breast cancer. Two groups of candidate genes were selected. The first group was included the existential genes in 5 common region chromosomes (between obesity and breast cancer and the second group was included the results of genes microarray data analysis of research Creighton, et al (In 2012 on patients with breast cancer. The microarray data were analyzed with GER2 software (R online software on GEO website. Finally, both training and candidate genes were entered in ENDEAVOUR software package. Results: The candidate genes were prioritized to four style and five genes in ten of the first priorities were repeated twice. In other word, the outcome of prioritizing of 72 genes (Product of microarray data analysis and genes of 5 common chromosome regions (Between obesity and breast cancer showed, 5 genes (TNFRSF10B, F2, IGFALS, NTRK3 and HSP90B1 were the priorities in the molecular connection between obesity and breast cancer. Conclusion: There are some common genes between breast cancer and obesity. So, molecular relationship is confirmed. In this study the possible effect

Temporal Expectations Guide Dynamic Prioritization in Visual Working Memory through Attenuated α Oscillations.

Science.gov (United States)

van Ede, Freek; Niklaus, Marcel; Nobre, Anna C

2017-01-11

Although working memory is generally considered a highly dynamic mnemonic store, popular laboratory tasks used to understand its psychological and neural mechanisms (such as change detection and continuous reproduction) often remain relatively "static," involving the retention of a set number of items throughout a shared delay interval. In the current study, we investigated visual working memory in a more dynamic setting, and assessed the following: (1) whether internally guided temporal expectations can dynamically and reversibly prioritize individual mnemonic items at specific times at which they are deemed most relevant; and (2) the neural substrates that support such dynamic prioritization. Participants encoded two differently colored oriented bars into visual working memory to retrieve the orientation of one bar with a precision judgment when subsequently probed. To test for the flexible temporal control to access and retrieve remembered items, we manipulated the probability for each of the two bars to be probed over time, and recorded EEG in healthy human volunteers. Temporal expectations had a profound influence on working memory performance, leading to faster access times as well as more accurate orientation reproductions for items that were probed at expected times. Furthermore, this dynamic prioritization was associated with the temporally specific attenuation of contralateral α (8-14 Hz) oscillations that, moreover, predicted working memory access times on a trial-by-trial basis. We conclude that attentional prioritization in working memory can be dynamically steered by internally guided temporal expectations, and is supported by the attenuation of α oscillations in task-relevant sensory brain areas. In dynamic, everyday-like, environments, flexible goal-directed behavior requires that mental representations that are kept in an active (working memory) store are dynamic, too. We investigated working memory in a more dynamic setting than is conventional

Place prioritization for biodiversity content using species ecological niche modeling

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Víctor Sánchez-Cordero

2005-01-01

Full Text Available Place prioritization for biodiversity representation is essential for conservation planning, particularly in megadiverse countries where high deforestation threatens biodiversity. Given the collecting biases and uneven sampling of biological inventories, there is a need to develop robust models of species’ distributions. By modeling species’ ecological niches using point occurrence data and digitized environmental feature maps, we can predict potential and extant distributions of species in untransformed landscapes, as well as in those transformed by vegetation change (including deforestation. Such distributional predictions provide a framework for use of species as biodiversity surrogates in place prioritization procedures such as those based on rarity and complementarity. Beyond biodiversity conservation, these predictions can also be used for place prioritization for ecological restoration under current conditions and under future scenarios of habitat change (e.g., deforestation scenarios. To illustrate these points, we (1 predict distributions under current and future deforestation scenarios for the Mexican endemic mammal Dipodomys phillipsii, and show how areas for restoration may be selected; and (2 propose conservation areas by combining nonvolant mammal distributional predictions as biodiversity surrogates with place prioritization procedures, to connect decreed natural protected areas in a region holding exceptional biodiversity: the Transvolcanic Belt in central Mexico. La selección de áreas prioritarias de conservación es fundamental en la planeación sistemática de la conservación, particularmente en países de mega-diversidad, en donde la alta deforestación es una de las amenazas a la biodiversidad. Debido a los sesgos taxonómicos y geográficos de colecta de los inventarios biológicos, es indispensable generar modelos robustos de distribución de especies. Al modelar el nicho ecológico de especies usando localidades de

An expert system for automated flavour matching - Prioritizer

DEFF Research Database (Denmark)

Silva, Bárbara Santos; Tøstesen, Marie; Petersen, Mikael Agerlin

2017-01-01

Flavour matching can be viewed as trying to reproduce a specific flavour. This is a time consuming task and may lead to flavour mixtures that are too complex or too expensive to be commercialized. In order to facilitate the matching, we have developed a new mathematical model, called Prioritizer....

Prioritizing plant defence over growth through WRKY regulation facilitates infestation by non-target herbivores

Science.gov (United States)

Li, Ran; Zhang, Jin; Li, Jiancai; Zhou, Guoxin; Wang, Qi; Bian, Wenbo; Erb, Matthias; Lou, Yonggen

2015-01-01

Plants generally respond to herbivore attack by increasing resistance and decreasing growth. This prioritization is achieved through the regulation of phytohormonal signaling networks. However, it remains unknown how this prioritization affects resistance against non-target herbivores. In this study, we identify WRKY70 as a specific herbivore-induced, mitogen-activated protein kinase-regulated rice transcription factor that physically interacts with W-box motifs and prioritizes defence over growth by positively regulating jasmonic acid (JA) and negatively regulating gibberellin (GA) biosynthesis upon attack by the chewing herbivore Chilo suppressalis. WRKY70-dependent JA biosynthesis is required for proteinase inhibitor activation and resistance against C. suppressalis. In contrast, WRKY70 induction increases plant susceptibility against the rice brown planthopper Nilaparvata lugens. Experiments with GA-deficient rice lines identify WRKY70-dependent GA signaling as the causal factor in N. lugens susceptibility. Our study shows that prioritizing defence over growth leads to a significant resistance trade-off with important implications for the evolution and agricultural exploitation of plant immunity. DOI: http://dx.doi.org/10.7554/eLife.04805.001 PMID:26083713

Applying network theory to prioritize multispecies habitat networks that are robust to climate and land-use change.

Science.gov (United States)

Albert, Cécile H; Rayfield, Bronwyn; Dumitru, Maria; Gonzalez, Andrew

2017-12-01

Designing connected landscapes is among the most widespread strategies for achieving biodiversity conservation targets. The challenge lies in simultaneously satisfying the connectivity needs of multiple species at multiple spatial scales under uncertain climate and land-use change. To evaluate the contribution of remnant habitat fragments to the connectivity of regional habitat networks, we developed a method to integrate uncertainty in climate and land-use change projections with the latest developments in network-connectivity research and spatial, multipurpose conservation prioritization. We used land-use change simulations to explore robustness of species' habitat networks to alternative development scenarios. We applied our method to 14 vertebrate focal species of periurban Montreal, Canada. Accounting for connectivity in spatial prioritization strongly modified conservation priorities and the modified priorities were robust to uncertain climate change. Setting conservation priorities based on habitat quality and connectivity maintained a large proportion of the region's connectivity, despite anticipated habitat loss due to climate and land-use change. The application of connectivity criteria alongside habitat-quality criteria for protected-area design was efficient with respect to the amount of area that needs protection and did not necessarily amplify trade-offs among conservation criteria. Our approach and results are being applied in and around Montreal and are well suited to the design of ecological networks and green infrastructure for the conservation of biodiversity and ecosystem services in other regions, in particular regions around large cities, where connectivity is critically low. © 2017 Society for Conservation Biology.

Scenario-informed multiple criteria analysis for prioritizing investments in electricity capacity expansion

International Nuclear Information System (INIS)

Martinez, Lauro J.; Lambert, James H.; Karvetski, Christopher W.

2011-01-01

Planning the expansion and energy security of electricity capacity for a national electricity utility is a complex task in almost any economy. Planning is usually an iterative activity and can involve the use of large scale planning optimization systems accompanied by assessment of uncertain scenarios emerging from economic, technological, environmental, and regulatory developments. This paper applies a multiple criteria decision analysis to prioritize investment portfolios in capacity expansion and energy security while principally studying the robustness of the prioritization to multiple uncertain and emergent scenarios. The scenarios are identified through interaction with decision makers and stakeholders. The approach finds which scenarios most affect the prioritization of the portfolios and which portfolios have the greatest upside and downside potential across scenarios. The approach fosters innovation in the use of robust and efficient technologies, renewable energy sources, and cleaner energy fuels. A demonstration is provided for assessing the performance of technology portfolios constructed from investments in nine electricity generation technologies in Mexico.

A Fuzzy Group Prioritization Method for Deriving Weights and its Software Implementation

Directory of Open Access Journals (Sweden)

Tarifa Almulhim

2013-09-01

Full Text Available Several Multi-Criteria Decision Making (MCDM methods involve pairwise comparisons to obtain the preferences of decision makers (DMs. This paper proposes a fuzzy group prioritization method for deriving group priorities/weights from fuzzy pairwise comparison matrices. The proposed method extends the Fuzzy Preferences Programming Method (FPP by considering the different importance weights of multiple DMs . The elements of the group pairwise comparison matrices are presented as fuzzy numbers rather than exact numerical values, in order to model the uncertainty and imprecision in the DMs’ judgments. Unlike the known fuzzy prioritization techniques, the proposed method is able to derive crisp weights from incomplete and fuzzy set of comparison judgments and does not require additional aggregation procedures. A prototype of a decision tool is developed to assist DMs to implement the proposed method for solving fuzzy group prioritization problems in MATLAB. Detailed numerical examples are used to illustrate the proposed approach.

Prioritizing genes associated with prostate cancer development

International Nuclear Information System (INIS)

Gorlov, Ivan P; Logothetis, Christopher J; Sircar, Kanishka; Zhao, Hongya; Maity, Sankar N; Navone, Nora M; Gorlova, Olga Y; Troncoso, Patricia; Pettaway, Curtis A; Byun, Jin Young

2010-01-01

The genetic control of prostate cancer development is poorly understood. Large numbers of gene-expression datasets on different aspects of prostate tumorigenesis are available. We used these data to identify and prioritize candidate genes associated with the development of prostate cancer and bone metastases. Our working hypothesis was that combining meta-analyses on different but overlapping steps of prostate tumorigenesis will improve identification of genes associated with prostate cancer development. A Z score-based meta-analysis of gene-expression data was used to identify candidate genes associated with prostate cancer development. To put together different datasets, we conducted a meta-analysis on 3 levels that follow the natural history of prostate cancer development. For experimental verification of candidates, we used in silico validation as well as in-house gene-expression data. Genes with experimental evidence of an association with prostate cancer development were overrepresented among our top candidates. The meta-analysis also identified a considerable number of novel candidate genes with no published evidence of a role in prostate cancer development. Functional annotation identified cytoskeleton, cell adhesion, extracellular matrix, and cell motility as the top functions associated with prostate cancer development. We identified 10 genes--CDC2, CCNA2, IGF1, EGR1, SRF, CTGF, CCL2, CAV1, SMAD4, and AURKA--that form hubs of the interaction network and therefore are likely to be primary drivers of prostate cancer development. By using this large 3-level meta-analysis of the gene-expression data to identify candidate genes associated with prostate cancer development, we have generated a list of candidate genes that may be a useful resource for researchers studying the molecular mechanisms underlying prostate cancer development

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

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Xiao-Wen Qi

2017-10-01

Full Text Available 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.

Science.gov (United States)

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.

Web tools for the prioritization of candidate disease genes.

NARCIS (Netherlands)

Oti, M.O.; Ballouz, S.; Wouters, M.A.

2011-01-01

Despite increasing sequencing capacity, genetic disease investigation still frequently results in the identification of loci containing multiple candidate disease genes that need to be tested for involvement in the disease. This process can be expedited by prioritizing the candidates prior to

Modeling accidents for prioritizing prevention

International Nuclear Information System (INIS)

Hale, A.R.; Ale, B.J.M.; Goossens, L.H.J.; Heijer, T.; Bellamy, L.J; Mud, M.L.; Roelen, A.; Baksteen, H.; Post, J.; Papazoglou, I.A.; Bloemhoff, A.; Oh, J.I.H.

2007-01-01

The Workgroup Occupational Risk Model (WORM) project in the Netherlands is developing a comprehensive set of scenarios to cover the full range of occupational accidents. The objective is to support companies in their risk analysis and prioritization of prevention. This paper describes how the modeling has developed through projects in the chemical industry, to this one in general industry and how this is planned to develop further in the future to model risk prevention in air transport. The core modeling technique is based on the bowtie, with addition of more explicit modeling of the barriers needed for risk control, the tasks needed to ensure provision, use, monitoring and maintenance of the barriers, and the management resources and tasks required to ensure that these barrier life cycle tasks are carried out effectively. The modeling is moving from a static notion of barriers which can fail, to seeing risk control dynamically as (fallible) means for staying within a safe envelope. The paper shows how concepts develop slowly over a series of projects as a core team works continuously together. It concludes with some results of the WORM project and some indications of how the modeling is raising fundamental questions about the conceptualization of system safety, which need future resolution

Prioritization of tasks in the draft LWR safety technology program plan. Final report

International Nuclear Information System (INIS)

Lim, E.Y.; Miller, W.J.; Parkinson, W.J.; Ritzman, R.L.; vonHerrmann, J.L.; Wood, P.J.

1980-05-01

The purpose of this report is to describe both the approach taken and the results produced in the SAI effort to prioritize the tasks in the Sandia draft LWR Safety Technology Program Plan. This work used the description of important safety issues developed in the Reactor Safety Study (2) to quantify the effect of safety improvements resulting from a research and development program on the risk from nuclear power plants. Costs of implementation of these safety improvements were also estimated to allow a presentation of the final results in a value (i.e., risk reduction) vs. impact (i.e., implementation costs) matrix

Prioritizing and optimizing sustainable measures for food waste prevention and management.

Science.gov (United States)

Cristóbal, Jorge; Castellani, Valentina; Manfredi, Simone; Sala, Serenella

2018-02-01

Food waste has gained prominence in the European political debate thanks to the recent Circular Economy package. Currently the waste hierarchy, introduced by the Waste Framework Directive, has been the rule followed to prioritize food waste prevention and management measures according to the environmental criteria. But when considering other criteria along with the environmental one, such as the economic, other tools are needed for the prioritization and optimization. This paper addresses the situation in which a decision-maker has to design a food waste prevention programme considering the limited economic resources in order to achieve the highest environmental impact prevention along the whole food life cycle. A methodology using Life Cycle Assessment and mathematical programing is proposed and its capabilities are shown through a case study. Results show that the order established in the waste hierarchy is generally followed. The proposed methodology revealed to be especially helpful in identifying "quick wins" - measures that should be always prioritized since they avoid a high environmental impact at a low cost. Besides, in order to aggregate the environmental scores related to a variety of impact categories, different weighting sets were proposed. In general, results show that the relevance of the weighting set in the prioritization of the measures appears to be limited. Finally, the correlation between reducing food waste generation and reducing environmental impact along the Food Supply Chain has been studied. Results highlight that when planning food waste prevention strategies, it is important to set the targets at the level of environmental impact instead of setting the targets at the level of avoided food waste generation (in mass). Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

A protein prioritization approach tailored for the FA/BRCA pathway.

Directory of Open Access Journals (Sweden)

Anneke Haitjema

Full Text Available Fanconi anemia (FA is a heterogeneous recessive disorder associated with a markedly elevated risk to develop cancer. To date sixteen FA genes have been identified, three of which predispose heterozygous mutation carriers to breast cancer. The FA proteins work together in a genome maintenance pathway, the so-called FA/BRCA pathway which is important during the S phase of the cell cycle. Since not all FA patients can be linked to (one of the sixteen known complementation groups, new FA genes remain to be identified. In addition the complex FA network remains to be further unravelled. One of the FA genes, FANCI, has been identified via a combination of bioinformatic techniques exploiting FA protein properties and genetic linkage. The aim of this study was to develop a prioritization approach for proteins of the entire human proteome that potentially interact with the FA/BRCA pathway or are novel candidate FA genes. To this end, we combined the original bioinformatics approach based on the properties of the first thirteen FA proteins identified with publicly available tools for protein-protein interactions, literature mining (Nermal and a protein function prediction tool (FuncNet. Importantly, the three newest FA proteins FANCO/RAD51C, FANCP/SLX4, and XRCC2 displayed scores in the range of the already known FA proteins. Likewise, a prime candidate FA gene based on next generation sequencing and having a very low score was subsequently disproven by functional studies for the FA phenotype. Furthermore, the approach strongly enriches for GO terms such as DNA repair, response to DNA damage stimulus, and cell cycle-regulated genes. Additionally, overlaying the top 150 with a haploinsufficiency probability score, renders the approach more tailored for identifying breast cancer related genes. This approach may be useful for prioritization of putative novel FA or breast cancer genes from next generation sequencing efforts.

Determination and prioritizing of addiction prevention factors in delfan city, iran.

Science.gov (United States)

Mirzaei, Davod; Zamani, Bibi Eshrat; Mousavi, Sayyed Hojat

2011-01-01

In recent decades, drug abuse has been one of the most important problems of human societies and has been imposing enormous charges to them. Exposing addicts to infectious diseases, social and economic harmful impacts, expensive and reversibility of treatment methods have caused that drug abuse prevention programs be more inexpensive and more effective than treatment. One of the most important methods of drug abuse prevention is identification and prioritization of them according to scientific methods. The purpose of this study was to investigate addiction prevention methods among adolescents and teenagers from the viewpoints of addicts, their parents, authorities and prioritizing the prevention methods based on analytical hierarchy process (AHP) model in Delfan city, Iran. Statistical samples included 17 authorities, 42 addicts, and 23 parents that have been selected through purposive sampling. Data collection instruments involved structured and semi-structured interviews. Data were analyzed based on quantitative and qualitative methods, encoding and categorization. In this study, AHP model was used for prioritizing the prevention methods. This model is one of the most efficient and comprehensive designed techniques for multi-criteria decision making; it formulates the possibility of natural complex problems as hierarchy. The results indicated that the most important methods of drug abuse prevention were using media, case studies, planning for leisure times, educating social skills, integrating drug prevention methods in religious customs and respect to teenagers. Among these factors, the media and respect to adolescents with weights 0.3321 and 0.2389 had the highest preferences for the prevention of drug addiction, respectively. Planning for leisure time with weight of 0.1349 had the lowest importance than media and teenager respectful factor and higher priority than religion customs, dating and learning lessons factors. On the contrary, integrating in religion

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

Science.gov (United States)

Glaab, Enrico; Bacardit, Jaume; Garibaldi, Jonathan M; Krasnogor, Natalio

2012-01-01

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new samples, common restrictions of microarray analysis such as small sample sizes, a large attribute space and high noise levels still limit its scientific and clinical applications. Increasing the interpretability of prediction models while retaining a high accuracy would help to exploit the information content in microarray data more effectively. For this purpose, we evaluate our rule-based evolutionary machine learning systems, BioHEL and GAssist, on three public microarray cancer datasets, obtaining simple rule-based models for sample classification. A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. The obtained models reach accuracies above 90% in two-level external cross-validation, with the added value of facilitating interpretation by using only combinations of simple if-then-else rules. As a further benefit, a literature mining analysis reveals that prioritizations of informative genes extracted from BioHEL's classification rule sets can outperform gene rankings obtained from a conventional ensemble feature selection in terms of the pointwise mutual information between relevant disease terms and the standardized names of top-ranked genes.

Sensory Prioritization in Rats: Behavioral Performance and Neuronal Correlates.

Science.gov (United States)

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

Stakeholder Priorities for Comparative Effectiveness Research in Chronic Obstructive Pulmonary Disease

Science.gov (United States)

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

Prioritization of watersheds in order to perform administrative measures using fuzzy analytic hierarchy process

Directory of Open Access Journals (Sweden)

Seyyed Abdolhossein Arami

2017-01-01

Full Text Available Prioritization of watersheds in order to perform administrative measures is necessary and inevitable. Determining areas of top priority for flood control projects is a managerial decision that should be approved by studies of physical, social and economic status of the region of interesrt and by assessing the outcomes of the past operations. Therefore, the aim of this research was to study morphological and physiographic characteristics, and to use geographic information systems (GIS and multi-criteria decision-making methods (MCDM, to identify the critical sub-basins which have the tendency to be destructed, in Galikesh watershed, Golestan province. This watershed is important, yet critical, in terms of land use change, erosion and flooding in the Golestan Province, Iran. In total, nine morphological parameters were used to prioritize sub-watersheds using fuzzy analytic hierarchy process (FAHP. The morphological parameters were by some means linked to watershed drainage system. Based on FAHP approach, sub-basins, as vulnerable zones, have been evaluated and cetegorized in five priority levels (very low, low, medium, high and very high levels. The results showed that 44.44% and 22.22% of sub-basins were categorized respectively under average, and high to very high levels, suggesting that the conservation and management measures are essential in order to maintain stability in the region. Thus, the FAHP technique is a practical and convenient method to show potential zones in order to implement effective management strategies, especially in areas where data availability is low and soil diversity is high. Finally, it can be said that without having to encounter high costs and a waste of time, sub-basins could be categorized by means of morphometric parameters in order to implement conservational measures to simutaneously conserve soil and the environment

Enhancing employee capacity to prioritize health insurance benefits.

Science.gov (United States)

Danis, Marion; Goold, Susan Dorr; Parise, Carol; Ginsburg, Marjorie

2007-09-01

To demonstrate that employees can gain understanding of the financial constraints involved in designing health insurance benefits. While employees who receive their health insurance through the workplace have much at stake as the cost of health insurance rises, they are not necessarily prepared to constructively participate in prioritizing their health insurance benefits in order to limit cost. Structured group exercises. Employees of 41 public and private organizations in Northern California. Administration of the CHAT (Choosing Healthplans All Together) exercise in which participants engage in deliberation to design health insurance benefits under financial constraints. Change in priorities and attitudes about the need to exercise insurance cost constraints. Participants (N = 744) became significantly more cognizant of the need to limit insurance benefits for the sake of affordability and capable of prioritizing benefit options. Those agreeing that it is reasonable to limit health insurance coverage given the cost increased from 47% to 72%. It is both possible and valuable to involve employees in priority setting regarding health insurance benefits through the use of structured decision tools.

Terrestrial ecosystem responses to global change: A research strategy

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-09-01

Uncertainty about the magnitude of global change effects on terrestrial ecosystems and consequent feedbacks to the atmosphere impedes sound policy planning at regional, national, and global scales. A strategy to reduce these uncertainties must include a substantial increase in funding for large-scale ecosystem experiments and a careful prioritization of research efforts. Prioritization criteria should be based on the magnitude of potential changes in environmental properties of concern to society, including productivity; biodiversity; the storage and cycling of carbon, water, and nutrients; and sensitivity of specific ecosystems to environmental change. A research strategy is proposed that builds on existing knowledge of ecosystem responses to global change by (1) expanding the spatial and temporal scale of experimental ecosystem manipulations to include processes known to occur at large scales and over long time periods; (2) quantifying poorly understood linkages among processes through the use of experiments that manipulate multiple interacting environmental factors over a broader range of relevant conditions than did past experiments; and (3) prioritizing ecosystems for major experimental manipulations on the basis of potential positive and negative impacts on ecosystem properties and processes of intrinsic and/or utilitarian value to humans and on feedbacks of terrestrial ecosystems to the atmosphere.

A methodology for comprehensive strategic planning and program prioritization

Science.gov (United States)

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

Prioritizing Training To Maximize Results: The 3 Box System.

Science.gov (United States)

Kearns, Paul

2003-01-01

Considers fundamentals of effective training and focuses on the evaluation of training. Describes the 3 Box System, which provides a framework for discussing: (1) basic training needs and priorities; (2) added value training, including ROI (return on investment); evaluation; and (3) prioritizing training budgets. (LRW)

Valence, Not Utility, Underlies Reward-Driven Prioritization in Human Vision.

Science.gov (United States)

Barbaro, Ludwig; Peelen, Marius V; Hickey, Clayton

2017-10-25

Objects associated with reward draw attention and evoke enhanced activity in visual cortex. What is the underlying mechanism? One possibility is that reward's impact on vision is mediated by unique circuitry that modulates sensory processing, selectively increasing the salience of reward-associated stimuli. Alternatively, effects of reward may be part of a more general mechanism that prioritizes the processing of any beneficial object, importantly including stimuli that are associated with the evasion of loss. Here, we test these competing hypotheses by having male and female humans detect naturalistic objects associated with monetary reward, the evasion of equivalent loss, or neither of these. If vision is economically normative, processing of objects associated with reward and evasion of loss should be prioritized relative to neutral stimuli. Results from fMRI and behavioral experiments show that this is not the case: whereas objects associated with reward were better detected and represented in ventral visual cortex, detection and representation of stimuli associated with the evasion of loss were degraded. Representations in parietal cortex reveal a notable exception to this pattern, showing enhanced encoding of both reward- and loss-associated stimuli. Experience-driven visual prioritization can thus be economically irrational, driven by valence rather than objective utility. SIGNIFICANCE STATEMENT Normative economic models propose that gain should have the same value as evasion of equivalent loss. Is human vision rational in this way? Objects associated with reward draw attention and are well represented in visual cortex. This is thought to have evolutionary origins, highlighting objects likely to provide benefit in the future. But benefit can be conferred not only through gain, but also through evasion of loss. Here we demonstrate that the visual system prioritizes real-world objects presented in images of natural scenes only when these objects have been

Integrating biophysical and socioeconomic information for prioritizing watersheds in a Kashmir Himalayan lake: a remote sensing and GIS approach.

Science.gov (United States)

Badar, Bazigha; Romshoo, Shakil A; Khan, M A

2013-08-01

Dal Lake, a cradle of Kashmiri civilization has strong linkage with socioeconomics of the state of Jammu and Kashmir. During last few decades, anthropogenic pressures in Dal Lake Catchment have caused environmental deterioration impairing, inter-alia, sustained biotic communities and water quality. The present research was an integrated impact analysis of socioeconomic and biophysical processes at the watershed level on the current status of Dal Lake using multi-sensor and multi-temporal satellite data, simulation modelling together with field data verification. Thirteen watersheds (designated as 'W1-W13') were identified and investigated for land use/land cover change detection, quantification of erosion and sediment loads and socioeconomic analysis (total population, total households, literacy rate and economic development status). All the data for the respective watersheds was integrated into the GIS environment based upon multi-criteria analysis and knowledge-based weightage system was adopted for watershed prioritization based on its factors and after carefully observing the field situation. The land use/land cover change detection revealed significant changes with a uniform trend of decreased vegetation and increased impervious surface cover. Increased erosion and sediment loadings were recorded for the watersheds corresponding to their changing land systems, with bare and agriculture lands being the major contributors. The prioritization analysis revealed that W5 > W2 > W6 > W8 > W1 ranked highest in priority and W13 > W3 > W4 > W11 > W7 under medium priority. W12 > W9 > W10 belonged to low-priority category. The integration of the biophysical and the socioeconomic environment at the watershed level using modern geospatial tools would be of vital importance for the conservation and management strategies of Dal Lake ecosystem.

Research Article

African Journals Online (AJOL)

2016-06-15

Jun 15, 2016 ... ve of this research is to identify, analyze, and prioritize factors effec .... In Iran, Fallahnejad identified 43 factors of delay for gas pipeline ... contractor include, financial problems, material management issues, planning and time.

A device-specific prioritization strategy based on the potential for harm to human health in informal WEEE recycling.

Science.gov (United States)

Cesaro, Alessandra; Belgiorno, Vincenzo; Vaccari, Mentore; Jandric, Aleksander; Chung, Tran Duc; Dias, Maria Isabel; Hursthouse, Andrew; Salhofer, Stefan

2018-01-01

In developing countries, the recovery of valuable materials from Waste Electrical and Electronic Equipment (WEEE) is carried out via uncontrolled practices, posing potentially severe risks both to human health and the environment. The assessment of the risk, which depends on both the kind and hazardous properties of the substances contained in WEEE, is currently limited as the exposure scenario for the single informal practice cannot be fully characterized for this purpose. In this context, this work proposes and evaluates a strategy to identify the relative potential harm of different kinds of WEEE by their content in metals, selected as the target substances of concern. This was based on the individual metal content, primarily located in the printed circuit boards (PCBs) of the different devices. The metal composition of the individual PCBs was identified and the dominant unregulated metal recovery practices were reviewed to identify the most suitable parameter to express the toxicity of these metals. Based on a mass-normalized cumulative toxicity, via the inhalation route, individual components were assessed from compositional variation found in the literature. The results is a semiquantitative ranking of individual components, revealing significant differences in potential harm posed by different electronic appliances and an opportunity to provide prioritization strategies in future management.

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

Science.gov (United States)

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.

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

Science.gov (United States)

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

Achieving a Prioritized Research and Technology Development Portfolio for the Dust Management Project

Science.gov (United States)

Hyatt, Mark J.; Abel, Phillip; Delaune, Paul; Fishman, Julianna; Kohli, Rajiv

2009-01-01

Mission architectures for human exploration of the lunar surface continue to advance as well as the definitions of capability needs, best practices and engineering design to mitigate the impact of lunar dust on exposed systems. The NASA DMP has been established as the agency focal point for dust characterization, technology, and simulant development. As described in this paper, the DMP has defined a process for selecting and justifying its R&T portfolio. The technology prioritization process, which is based on a ranking system according to weighted criteria, has been successfully applied to the current DMP dust mitigation technology portfolio. Several key findings emerged from this assessment. Within the dust removal and cleaning technologies group, there are critical technical challenges that must be overcome for these technologies to be implemented for lunar applications. For example, an in-situ source of CO2 on the moon is essential to the CO2 shower technology. Also, significant development effort is required to achieve technology readiness level TRL 6 for the electrostatic cleaning system for removal of particles smaller than 50 pm. The baseline materials related technologies require considerable development just to achieve TRL 6. It is also a nontrivial effort to integrate the materials in hardware for lunar application. At present, there are no terrestrial applications that are readily adaptable to lunar surface applications nor are there any obvious leading candidates. The unique requirements of dust sealing systems for lunar applications suggest an extensive development effort will be necessary to mature dust sealing systems to TRL 6 and beyond. As discussed here, several alternate materials and technologies have achieved high levels of maturity for terrestrial applications and warrant due diligence in ongoing assessment of the technology portfolio. The present assessment is the initial step in an ongoing effort to continually evaluate the DMP technology

Prioritizing substitution of organic solvents in industrial cleaning processes

DEFF Research Database (Denmark)

Rasmussen, Pia Brunn; Jacobsen, Thomas

1997-01-01

A method for prioritizing the substitution of volatile organic compounds (VOC) used in industrial cleaning processes is developed. The result is a matrix, which, if all information can be obtained, gives a comprehensive description of the effects, exposure and emission of VOC, as well as the pros...

Pediatric Critical Care Nursing Research Priorities-Initiating International Dialogue.

Science.gov (United States)

Tume, Lyvonne N; Coetzee, Minette; Dryden-Palmer, Karen; Hickey, Patricia A; Kinney, Sharon; Latour, Jos M; Pedreira, Mavilde L G; Sefton, Gerri R; Sorce, Lauren; Curley, Martha A Q

2015-07-01

To identify and prioritize research questions of concern to the practice of pediatric critical care nursing practice. One-day consensus conference. By using a conceptual framework by Benner et al describing domains of practice in critical care nursing, nine international nurse researchers presented state-of-the-art lectures. Each identified knowledge gaps in their assigned practice domain and then poised three research questions to fill that gap. Then, meeting participants prioritized the proposed research questions using an interactive multivoting process. Seventh World Congress on Pediatric Intensive and Critical Care in Istanbul, Turkey. Pediatric critical care nurses and nurse scientists attending the open consensus meeting. Systematic review, gap analysis, and interactive multivoting. The participants prioritized 27 nursing research questions in nine content domains. The top four research questions were 1) identifying nursing interventions that directly impact the child and family's experience during the withdrawal of life support, 2) evaluating the long-term psychosocial impact of a child's critical illness on family outcomes, 3) articulating core nursing competencies that prevent unstable situations from deteriorating into crises, and 4) describing the level of nursing education and experience in pediatric critical care that has a protective effect on the mortality and morbidity of critically ill children. The consensus meeting was effective in organizing pediatric critical care nursing knowledge, identifying knowledge gaps and in prioritizing nursing research initiatives that could be used to advance nursing science across world regions.

Guidelines for nuclear power plant safety issue prioritization information development. Supplement 2

International Nuclear Information System (INIS)

Andrews, W.B.; Gallucci, R.H.V.; Konzek, G.J.; Heaberlin, S.W.; Fecht, B.A.; Allen, C.H.; Allen, R.D.; Bickford, W.E.; Carbaugh, E.H.; Lewis, J.R.

1983-12-01

This is the third in a series of reports to document the use of a methodology developed by the Pacific Northwest Laboratory to calculate, for prioritization purposes, the risk, dose and cost impacts of implementing resolutions to reactor safety issues (NUREG/CR-2800, Andrews et al. 1983). This report contains results of issue-specific analyses for 31 issues. Each issue was considered within the constraints of available information as of summer 1983, and two staff-weeks of labor. The results are referenced, as one consideration in setting priorities for reactor safety issues, in NUREG-0933, A Prioritization of Generic Safety Issues

Development of explicit criteria for prioritization of hip and knee replacement.

Science.gov (United States)

Escobar, Antonio; Quintana, José M; Bilbao, Amaia; Ibañez, Berta; Arenaza, Juan C; Gutiérrez, Luis; Azkárate, Jesús; Güenaga, Jose I; Vidaurreta, Ignacio

2007-06-01

Among the problems to the publicly funded national health services are the waiting lists. Patients who need elective surgery generally have long waiting times before treatment. We aimed to develop a new prioritization tool for primary hip and knee replacement. Criteria were developed using a modified Delphi panel process. We convened a panel of nine members who scored the scenarios created by the research team and by patient focus groups. We studied the level of agreement among the panelists and the contribution of the variables to the ratings of the panel using linear and logistic regression models. The priority scores of the variables and their levels were synthesized using the optimal scaling and standard linear regression methods. Seven variables, pain on motion, walking functional limitations, abnormal findings on physical examination, pain at rest, other functional limitations, social role, and other pathologies that could improve with joint replacement, were considered to create the different scenarios. The panel scored 192 scenarios. The disagreement among the panelists was very low (1%) with an intra-class correlation coefficient of 0.72. Of the 192 scenarios, 45.8% were scored as urgent, 35.4% as preferred and 18.8% as ordinary. The variables that contributed most to the scores were pain on motion and walking functional limitations. When optimal scaling and regression techniques were applied, similar results were obtained. This tool can evaluate and prioritize patients on a waiting list for hip or knee replacement. We also provide a simple and easy way to use an algorithm to estimate the treatment priority for individual patients.

Prioritization and willingness to pay for bariatric surgery: the patient perspective.

Science.gov (United States)

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 Lower priority was assigned to patients at the extremes of age (p = 0.006), on social assistance (p paying for faster access. These findings may help inform future efforts to develop acceptable prioritization strategies for publicly funded bariatric surgery.

Coconut Program Area Research Planning and Prioritization

OpenAIRE

Aragon, Corazon

2000-01-01

The coconut industry is one of the country's major pillars in employment generation and foreign exchange earnings. However, local production problems, the expansion in coconut hectarage of neighboring countries, and recent developments in biotechnology research on other competing crops that have high lauric oil content might affect its long-term sustainability and viability. In a highly liberalized global trade environment, innovation and creativity in the country's coconut industry are neede...

Use of dependency and prioritization tools by clinical nurse specialists in palliative care: an exploratory study.

LENUS (Irish Health Repository)

Bracken, Mairéad

2011-12-01

The principal aim was to assess the utility of three needs assessment\\/dependency tools for use in community-based palliative care services. Specific objectives were to assess a sample of patients receiving specialist palliative care community nursing using these tools, to assess the predictive ability of each tool, and to explore the utility of prioritizing and measuring patient dependency from a clinical nurse specialist (CNS) perspective.

Investigation and Prioritizing Outsourcing of Information and Communication Technology (ICT Projects (Case Study: ICT Infrastructure Projects

Directory of Open Access Journals (Sweden)

Seyed Ehsan Khansarizadeh

2015-03-01

Full Text Available Outsourcing IT functions is being developed as a replacement for implementing IT projects or rendering IT services within organizations. Organizations’ past experiences in outsourcing indicate that this process poses variety of risks and problems. This study is aimed to identify and prioritize the risks of outsourcing IT infrastructure projects. Classifying risks of outsourcing along with incorporating thematic experts’ experiences through the Delphi method, reveals various risks associated with the employer and the contractor as the primary sources of risks as well as general risks and chronological risks which occur in the periods before, during and after contracts. A total of 22 main risks were identified and categorized. Afterwards, based on the opinions obtained from thematic experts and using the Analytic Hierarchy Process, different types of risks were prioritized. The results suggest that those risks arising due to failings of structure and content are more important than those of technical and contextual knowledge.

The baby or the bath water? Lessons learned from the National Action Alliance for Suicide Prevention Research Prioritization Task Force literature review.

Science.gov (United States)

Davis Molock, Sherry; Heekin, Janet M; Matlin, Samantha G; Barksdale, Crystal L; Gray, Ekwenzi; Booth, Chelsea L

2014-09-01

The Research Prioritization Task Force of the National Action Alliance for Suicide Prevention conducted a comprehensive literature review of suicide prevention/intervention trials to assess the quality of the scientific evidence. A literature "review of reviews" was conducted by searching the most widely used databases for mental health and public health research. The quality of the reviews was evaluated using the Revised Assessment of Multiple Systematic Reviews system; the quality of the scientific evidence for the suicide preventions/interventions was assessed using U.S. Preventive Services Task Force criteria. The reviews were limited to peer-reviewed publications with human subjects published in English. Ninety-eight systematic reviews and 45 primary sources on suicide prevention/interventions published between January 2000 and September 2012 were evaluated. The results suggest that the quality of both the systematic reviews and the scientific evidence for suicide preventions/interventions were mixed. The majority of the systematic reviews and prevention/interventions were evaluated as fair to poor in quality. There are many promising suicide prevention/intervention trials, but research findings are often inconclusive because of methodologic problems. Methodologic problems across systematic reviews include not conducting hand searches, not surveying gray literature, and being unable to aggregate data across studies. Methodologic problems with the scientific quality of the prevention/intervention trials include paucity of information on sample demographic characteristics, poorly defined outcomes, and excluding actively suicidal participants. Suggestions for ways to improve the quality of the systematic reviews and suicide preventions/interventions are provided. Copyright © 2014 American Journal of Preventive Medicine. All rights reserved.

PRIORITIZING ECONOMIC GROWTH: ENHANCING MACROECONOMIC POLICY CHOICE

OpenAIRE

Colin I. BRADFORD, Jr.

2005-01-01

This paper spells out a logic for increasing macroeconomic policy space in order to prioritize the goals of growth, employment creation and poverty reduction. First, there is the need to create additional policy instruments so that a greater number of policy goals can be addressed. Frequently, real economy goals get partly crowded out by financial objectives because there are too few instruments for too many goals. Second, the calibrated use of policy tools by degrees of commitment, deploymen...

Evidence for a Selectively Regulated Prioritization Shift Depending on Walking Situations in Older Adults

OpenAIRE

Salkovic, Dina; Hobert, Markus A.; Bellut, Carolin; Funer, Florian; Renno, Sarah; Haertner, Linda; Hasmann, Sandra E.; Staebler, Jana; Geritz, Johanna; Suenkel, Ulrike; Fallgatter, Andreas J.; Eschweiler, Gerhard W.; Berg, Daniela; Maetzler, Walter

2017-01-01

Background: Older adults have increased risks of balance issues and falls when walking and performing turns in daily situations. Changes of prioritization during different walking situations associated with dual tasking may contribute to these deficits. The objective of this study was therefore to investigate whether older adults demonstrate changes of prioritization during different walking paths. Methods: In total, 1,054 subjects with an age range from 50 to 83 years were selected from t...

PRIORITIZING OF EFFECTIVE FACTORS IN SERVICE QUALITY OF AEROBIC CLUBS IN KARAJ

Directory of Open Access Journals (Sweden)

Ali Benesbordi

2011-01-01

Full Text Available The purpose of this research was prioritizing of effective factors in service quality of aerobicclubs in Karaj. Nowadays service quality is one of successful factor in service organizations.Customers’ satisfaction from services causes to maintaining of customers that leads to successof organization. Method of the research is descriptive and solidarity kind. The statisticalpopulation was the members of aerobic clubs. 12 clubs were selected in a random cluster wayand totally 141 questionnaire were collected. In the research standard Liu questionnaire wasused that has been translated and its validity was subscribed by specialist teachers. Reliability ofquestionnaire also was calculated by Cronbach’s alpha coefficient (α= 0/87. Factor analysiswith Varimax rotation was used for analysis of data. The result showed empathy with loadfactor of 0/86; reliability with load factor of 0/85; assurance with load factor of 0/80;responsiveness with load factor of 0/78 and tangibles with load factor of 0/73 were sequentiallythe most important factors in service quality of aerobic clubs in Karaj.

A method to prioritize quantitative traits and individuals for sequencing in family-based studies.

Directory of Open Access Journals (Sweden)

Kaanan P Shah

Full Text Available Owing to recent advances in DNA sequencing, it is now technically feasible to evaluate the contribution of rare variation to complex traits and diseases. However, it is still cost prohibitive to sequence the whole genome (or exome of all individuals in each study. For quantitative traits, one strategy to reduce cost is to sequence individuals in the tails of the trait distribution. However, the next challenge becomes how to prioritize traits and individuals for sequencing since individuals are often characterized for dozens of medically relevant traits. In this article, we describe a new method, the Rare Variant Kinship Test (RVKT, which leverages relationship information in family-based studies to identify quantitative traits that are likely influenced by rare variants. Conditional on nuclear families and extended pedigrees, we evaluate the power of the RVKT via simulation. Not unexpectedly, the power of our method depends strongly on effect size, and to a lesser extent, on the frequency of the rare variant and the number and type of relationships in the sample. As an illustration, we also apply our method to data from two genetic studies in the Old Order Amish, a founder population with extensive genealogical records. Remarkably, we implicate the presence of a rare variant that lowers fasting triglyceride levels in the Heredity and Phenotype Intervention (HAPI Heart study (p = 0.044, consistent with the presence of a previously identified null mutation in the APOC3 gene that lowers fasting triglyceride levels in HAPI Heart study participants.

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data.

Directory of Open Access Journals (Sweden)

Enrico Glaab

Full Text Available Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new samples, common restrictions of microarray analysis such as small sample sizes, a large attribute space and high noise levels still limit its scientific and clinical applications. Increasing the interpretability of prediction models while retaining a high accuracy would help to exploit the information content in microarray data more effectively. For this purpose, we evaluate our rule-based evolutionary machine learning systems, BioHEL and GAssist, on three public microarray cancer datasets, obtaining simple rule-based models for sample classification. A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. The obtained models reach accuracies above 90% in two-level external cross-validation, with the added value of facilitating interpretation by using only combinations of simple if-then-else rules. As a further benefit, a literature mining analysis reveals that prioritizations of informative genes extracted from BioHEL's classification rule sets can outperform gene rankings obtained from a conventional ensemble feature selection in terms of the pointwise mutual information between relevant disease terms and the standardized names of top-ranked genes.

Reciprocal Prioritization to Dietary Glycans by Gut Bacteria in a Competitive Environment Promotes Stable Coexistence

Directory of Open Access Journals (Sweden)

Yunus E. Tuncil

2017-10-01

Full Text Available When presented with nutrient mixtures, several human gut Bacteroides species exhibit hierarchical utilization of glycans through a phenomenon that resembles catabolite repression. However, it is unclear how closely these observed physiological changes, often measured by altered transcription of glycan utilization genes, mirror actual glycan depletion. To understand the glycan prioritization strategies of two closely related human gut symbionts, Bacteroides ovatus and Bacteroides thetaiotaomicron, we performed a series of time course assays in which both species were individually grown in a medium with six different glycans that both species can degrade. Disappearance of the substrates and transcription of the corresponding polysaccharide utilization loci (PULs were measured. Each species utilized some glycans before others, but with different priorities per species, providing insight into species-specific hierarchical preferences. In general, the presence of highly prioritized glycans repressed transcription of genes involved in utilizing lower-priority nutrients. However, transcriptional sensitivity to some glycans varied relative to the residual concentration in the medium, with some PULs that target high-priority substrates remaining highly expressed even after their target glycan had been mostly depleted. Coculturing of these organisms in the same mixture showed that the hierarchical orders generally remained the same, promoting stable coexistence. Polymer length was found to be a contributing factor for glycan utilization, thereby affecting its place in the hierarchy. Our findings not only elucidate how B. ovatus and B. thetaiotaomicron strategically access glycans to maintain coexistence but also support the prioritization of carbohydrate utilization based on carbohydrate structure, advancing our understanding of the relationships between diet and the gut microbiome.

Based on Real Time Remote Health Monitoring Systems: A New Approach for Prioritization "Large Scales Data" Patients with Chronic Heart Diseases Using Body Sensors and Communication Technology.

Science.gov (United States)

Kalid, Naser; Zaidan, A A; Zaidan, B B; Salman, Omar H; Hashim, M; Albahri, O S; Albahri, A S

2018-03-02

This paper presents a new approach to prioritize "Large-scale Data" of patients with chronic heart diseases by using body sensors and communication technology during disasters and peak seasons. An evaluation matrix is used for emergency evaluation and large-scale data scoring of patients with chronic heart diseases in telemedicine environment. However, one major problem in the emergency evaluation of these patients is establishing a reasonable threshold for patients with the most and least critical conditions. This threshold can be used to detect the highest and lowest priority levels when all the scores of patients are identical during disasters and peak seasons. A practical study was performed on 500 patients with chronic heart diseases and different symptoms, and their emergency levels were evaluated based on four main measurements: electrocardiogram, oxygen saturation sensor, blood pressure monitoring, and non-sensory measurement tool, namely, text frame. Data alignment was conducted for the raw data and decision-making matrix by converting each extracted feature into an integer. This integer represents their state in the triage level based on medical guidelines to determine the features from different sources in a platform. The patients were then scored based on a decision matrix by using multi-criteria decision-making techniques, namely, integrated multi-layer for analytic hierarchy process (MLAHP) and technique for order performance by similarity to ideal solution (TOPSIS). For subjective validation, cardiologists were consulted to confirm the ranking results. For objective validation, mean ± standard deviation was computed to check the accuracy of the systematic ranking. This study provides scenarios and checklist benchmarking to evaluate the proposed and existing prioritization methods. Experimental results revealed the following. (1) The integration of TOPSIS and MLAHP effectively and systematically solved the patient settings on triage and

The impact of economic rationalization, prioritization and rationing on job satisfaction, motivation and team cohesion in hospitals: a survey among retired physician executives in Germany.

Science.gov (United States)

Schnoor, Joerg; Braehler, Elmar; Ghanem, Mohamed; Heyde, Christoph E

2017-01-01

The growing economization of the health care system and implication of market principles in the medical field have risen new and serious questions on the meaning of the medical profession, the doctor-patient relationship and the orientation of medicine itself. The impact of the dynamic clinical structures on the doctor-doctor and the doctor-patient interaction appear even unpredictable. Therefore, the impact of market-based methods, i.e. rationalization, prioritization and rationing, on job satisfaction, motivation and team cohesion should be quantified. The experiences of former and now retired physician executives in numerous hospitals in Saxony were determined. For this purpose, an anonymously written survey using a standardized questionnaire was conducted in the first quarter of 2016. Rationalization measures were confirmed by 88% of respondents. In more than a third of cases, former executives also experienced prioritization and rationing. The impact of these management techniques on job satisfaction, motivation and team cohesion was carried out in a differentiated manner. There was a tendency to regard rationalization and prioritization measures indifferently to rather disadvantageous, while rationing was predominantly rated negatively. In addition to rationalization, prioritization and rationing measures have now been part of working strategy at the hospitals. On one hand, the conceptual distinction between the terms still seems imprecise; on the other hand, a creeping and imperceptible medico-ethical transgression of the prioritization to rationing seems to have already taken place.

The application of systems engineering principles to the prioritization of sustainable nuclear fuel cycle options

International Nuclear Information System (INIS)

Price, Robert R.; Singh, Bhupinder P.; MacKinnon, Robert J.; David Sevougian, S.

2013-01-01

We investigate the implementation of the principles of systems engineering in the U.S. Department of Energy’s Fuel Cycle Technologies (FCT) Program to provide a framework for achieving its long-term mission of demonstrating and deploying sustainable nuclear fuel cycle options. A fuel cycle “screening” methodology is introduced that provides a systematic, objective, and traceable method for evaluating and categorizing nuclear fuel cycles according to their performance in meeting sustainability objectives. The goal of the systems engineering approach is to transparently define and justify the research and development (R and D) necessary to deploy sustainable fuel cycle technologies for a given set of national policy objectives. The approach provides a path for more efficient use of limited R and D resources and facilitates dialog among a variety of stakeholder groups interested in U.S. energy policy. Furthermore, the use of systems engineering principles will allow the FCT Program to more rapidly adapt to future policy changes, including any decisions based on recommendations of the Blue Ribbon Commission on America’s Nuclear Future. Specifically, if the relative importance of policy objectives changes, the FCT Program will have a structured process to rapidly determine how this impacts potential fuel cycle performance and the prioritization of needed R and D for associated technologies. - Highlights: ► Systems engineering principles applied in U.S. DOE-NE Fuel Cycle Technology Program. ► Use of decision analysis methods for determining promising nuclear fuel cycles. ► A new screening methodology to help communicate and prioritize U.S. DOE R and D needs. ► Fuel cycles categorized by performance/risk in meeting FCT Program objectives. ► Systems engineering allows DOE-NE to more rapidly adapt to future policy changes

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

Science.gov (United States)

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.

Guidelines for nuclear power plant safety issue prioritization information development. Supplement 5

International Nuclear Information System (INIS)

Daling, P.M.; Lavender, J.C.

1996-07-01

This is the sixth in a series of reports to document the development and use of a methodology developed by the Pacific Northwest Laboratory (PNL) to calculate, for prioritization purposes, the risk, dose, and cost impacts of implementing potential resolutions to reactor safety issues (see NUREG/CR-2800, Andrews, et al., 1983). This report contains the results of issue-specific analyses for 34 generic issues. Each issue was considered within the constraints of available information at the time the issues were examined and approximately 2 staff-weeks of labor. The results are referenced as one consideration in NUREG-0933, A Prioritization of Generic Safety Issues (Emrit, et al., 1983)

Guidelines for nuclear power plant safety issue prioritization information development. Supplement 5

Energy Technology Data Exchange (ETDEWEB)

Daling, P.M.; Lavender, J.C. [Pacific Northwest National Lab., Richland, WA (United States)

1996-07-01

This is the sixth in a series of reports to document the development and use of a methodology developed by the Pacific Northwest Laboratory (PNL) to calculate, for prioritization purposes, the risk, dose, and cost impacts of implementing potential resolutions to reactor safety issues (see NUREG/CR-2800, Andrews, et al., 1983). This report contains the results of issue-specific analyses for 34 generic issues. Each issue was considered within the constraints of available information at the time the issues were examined and approximately 2 staff-weeks of labor. The results are referenced as one consideration in NUREG-0933, A Prioritization of Generic Safety Issues (Emrit, et al., 1983).

A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records

DEFF Research Database (Denmark)

Jiang, Li; Edwards, Stefan M.; Thomsen, Bo

2014-01-01

from PubMed abstracts, OMIM, and GeneRIF records. We also investigated the validity of several vocabulary filters and different likelihood thresholds for predicted protein-protein interactions in terms of their effect on the network-based gene-prioritization approach, which relies on text-mining......Background: Prioritizing genetic variants is a challenge because disease susceptibility loci are often located in genes of unknown function or the relationship with the corresponding phenotype is unclear. A global data-mining exercise on the biomedical literature can establish the phenotypic...

Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases

Directory of Open Access Journals (Sweden)

Valerie Hongoh

2016-04-01

Full Text Available The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration.

Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases.

Science.gov (United States)

Hongoh, Valerie; Michel, Pascal; Gosselin, Pierre; Samoura, Karim; Ravel, André; Campagna, Céline; Cissé, Hassane Djibrilla; Waaub, Jean-Philippe

2016-04-12

The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration.

Exploiting a Goal-Decomposition Technique to Prioritize Non-functional Requirements

NARCIS (Netherlands)

Daneva, Maia; Kassab, M.; Ponisio, Laura; Wieringa, Roelf J.; Ormandjieva, O.; Alves Frota, C.; Werneck, V.; Cysneyros, L.M.

2007-01-01

Business stakeholders need to have clear and realistic goals if they want to meet commitments in application development. As a consequence, at early stages they prioritize requirements. However, requirements do change. The effect of change forces the stakeholders to balance alternatives and

Methods for medical device and equipment procurement and prioritization within low- and middle-income countries: findings of a systematic literature review.

Science.gov (United States)

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

2017-08-18

Forty to 70 % of medical devices and equipment in low- and middle-income countries are broken, unused or unfit for purpose; this impairs service delivery to patients and results in lost resources. Undiscerning procurement processes are at the heart of this issue. We conducted a systematic review of the literature to August 2013 with no time or language restrictions to identify what product selection or prioritization methods are recommended or used for medical device and equipment procurement planning within low- and middle-income countries. We explore the factors/evidence-base proposed for consideration within such methods and identify prioritization criteria. We included 217 documents (corresponding to 250 texts) in the narrative synthesis. Of these 111 featured in the meta-summary. We identify experience and needs-based methods used to reach procurement decisions. Equipment costs (including maintenance) and health needs are the dominant issues considered. Extracted data suggest that procurement officials should prioritize devices with low- and middle-income country appropriate technical specifications - i.e. devices and equipment that can be used given available human resources, infrastructure and maintenance capacity. Suboptimal device use is directly linked to incomplete costing and inadequate consideration of maintenance services and user training during procurement planning. Accurate estimation of life-cycle costing and careful consideration of device servicing are of crucial importance.

Healthcare Analytics: Creating a Prioritized Improvement System with Performance Benchmarking.

Science.gov (United States)

Kolker, Eugene; Kolker, Evelyne

2014-03-01

The importance of healthcare improvement is difficult to overstate. This article describes our collaborative work with experts at Seattle Children's to create a prioritized improvement system using performance benchmarking. We applied analytics and modeling approaches to compare and assess performance metrics derived from U.S. News and World Report benchmarking data. We then compared a wide range of departmental performance metrics, including patient outcomes, structural and process metrics, survival rates, clinical practices, and subspecialist quality. By applying empirically simulated transformations and imputation methods, we built a predictive model that achieves departments' average rank correlation of 0.98 and average score correlation of 0.99. The results are then translated into prioritized departmental and enterprise-wide improvements, following a data to knowledge to outcomes paradigm. These approaches, which translate data into sustainable outcomes, are essential to solving a wide array of healthcare issues, improving patient care, and reducing costs.

Factors associated with recognition and prioritization for falling, and the effect on fall incidence in community dwelling older adults.

Science.gov (United States)

Jansen, Sofie; Schoe, Jolanda; van Rijn, Marjon; Abu-Hanna, Ameen; Moll van Charante, Eric P; van der Velde, Nathalie; de Rooij, Sophia E

2015-12-17

Recent trials have shown that multifactorial fall interventions vary in effectiveness, possibly due to lack of adherence to the interventions. The aim of this study was to examine what proportion of older adults recognize their falls risk and prioritize for fall-preventive care, and which factors are associated with this prioritization. Observational study within the intervention arm of a cluster randomized controlled trial (RCT) on the effect of preventive interventions for geriatric problems in older community-dwellers at risk of functional decline.  general practices in the Netherlands. Participants were community dwellers (70+) in whom falling was identified as a condition. A comprehensive geriatric assessment (CGA) was performed by a registered community care nurse. Participants were asked which of the identified conditions they recognized and prioritized for in a preventive care plan, and subsequent interventions were started. Multivariable logistic regression was performed to identify which factors were associated with this prioritization. Fall-incidence was measured during one-year follow-up. The RCT included 6668 participants, 3430 were in the intervention arm. Of those, 1209 were at risk of functional decline, of whom 936 underwent CGA. In 380 participants (41 %), falling was identified as a condition; 62 (16 %) recognized this and 37 (10 %) prioritized for it. Factors associated with prioritization for falls-prevention were: recurrent falls in the past year (OR 2.2 [95 % CI 1.1-4.4]), severe fear-of-falling (OR 2.7 [1.2-6.0]) and use of a walking aid (2.3 [1.1-5.0]). Sixty participants received a preventive intervention for falling; 29 had prioritized for falling. Incidence of falls was higher in the priority group than the non-priority group (67 % vs. 37 % respectively) during first six months of follow-up, but similar between groups after 12 months (40.7 % vs. 44.4 %). The proportion of community-dwellers at risk of falls that recognizes this

Study of factors affecting the productivity of nurses based on the ACHIEVE model and prioritizing them using analytic hierarchy process technique, 2012

Directory of Open Access Journals (Sweden)

Payam Farhadi

2013-01-01

Full Text Available Objective: Improving productivity is one of the most important strategies for social-economic development. Human resources are known as the most important resources in the organizations′ survival and success. Aims: To determine the factors affecting the human resource productivity using the ACHIEVEa model from the nurses′ perspective and then prioritize them from the perspective of head nurses using Analytic Hierarchy Process (AHP technique. Settings and Design: Iran, Shiraz University of Medical Sciences teaching hospitals in 2012. Materials and Methods: This was an applied, cross-sectional and analytical-descriptive study conducted in two phases. In the first phase, to determine the factors affecting the human resource productivity from nurses′ perspective, 110 nurses were selected using a two-stage cluster sampling method. Required data were collected using the Persian version of Hersey and Goldsmith′s Human Resource Productivity Questionnaire. In the second phase, in order to prioritize the factors affecting human resource productivity based on the ACHIEVE model using AHP technique, pairwise comparisons matrices were given to the 19 randomly selected head nurses to express their opinions about those factors relative priorities or importance. Statistical Analysis Used: Collected data and matrices in two mentioned phases were analyzed using SPSS 15.0 and some statistical tests including Independent-Samples T-Test and Pearson Correlation coefficient, as well as, Super Decisions software (Latest Beta. Results: The human resource productivity had significant relationships with nurses′ sex (P = 0.008, marital status (P < 0.001, education level (P < 0.001, and all questionnaire factors (P < 0.05. Nurses′ productivity from their perspective was below average (44.97 ΁ 7.43. Also, the priorities of factors affecting the productivity of nurses based on the ACHIEVE model from the head nurses′ perspective using AHP technique, from the

Lack of support structures in prioritization decision making concerning patients and resources. Interviews with Swedish physicians.

Science.gov (United States)

Werntoft, Elisabet; Edberg, Anna-Karin

2011-08-01

To investigate physicians' experiences in relation to prioritization and financing in health care in order to gain a deeper understanding of the reasons behind their standpoints. Eighteen physicians, seven women and eleven men, aged 30 to 69 years were interviewed and the text was analyzed using an inductive approach, also described as conventional qualitative content analysis. Experience of setting healthcare priorities and difficult decision making differed widely among the physicians and seemed to be related to the number of years in professional practice. Their view of how resources should be allocated between disciplines/patients showed that they wanted politicians to make the decisions, with support from medical professions. The overwhelming impression of their reasoning showed that they lacked support structures for their decision making and could be understood under the following categories: prioritisation, easier in theory than in practice, and increasing costs threaten the Swedish welfare model. The findings of this study highlight the importance of practical national guidelines concerning vertical prioritization, also as an important measure to make prioritization more distinct and transparent. The physicians further had a need for tools to increase patients' awareness of their health. The findings of this study also showed that an awareness of the actual costs involved might increase the responsibility among both physicians and patients. The physicians' lack of support structures implies an urgent need for practical national guidelines, especially concerning vertical prioritization. This will also make prioritization appear clear and transparent for citizens.

Developing a performance measurement approach to benefit/cost freight project prioritization.

Science.gov (United States)

2014-10-01

Future reauthorizations of the federal transportation bill will require a comprehensive and quantitative analysis of the freight benefits : of proposed freight system projects. To prioritize public investments in freight systems and to insure conside...

Where to go first: prioritization of damaged areas for allocation of Urban Search and Rescue (USAR operations (PI-USAR model

Directory of Open Access Journals (Sweden)

Reza Hassanzadeh

2016-07-01

Full Text Available This paper presents the development of a spatial model for the allocation of the Urban Search and Rescue (USAR operation by computing the priority index of damaged areas (PI-USAR model. The relevant prioritization criteria were identified through a literature review and interviews with 30 disaster managers. The relative importance of these criteria was computed as weights using an analytic hierarchy process (AHP method; the criteria were combined based on AHP rules and spatial multi-criteria decision-making analysis in geographic information system (GIS. The PI-USAR model was applied in the case study area of the Bam city in Iran and a priority map was produced indicating four highly prioritized areas. The model was validated by comparing the obtained priority map with the actual priority map (APM using fuzzy inference system and relative operating characteristic methods. The result suggested a good fit between the APM and the model's output. Sensitivity analyses were performed using the map removal and the single parameter methods. With the uncertainties and complexities that are inherent to the spatial data, spatial modelling and the earthquake phenomenon itself, the PI-USAR model offers some utility to disaster managers in understanding the significance of each criterion in the decision-making process and in identifying the highly prioritized areas for the allocation of USAR operations. However, its utility is best exploited in conjunction with other complementary sources of field data based on the immediate post-disaster situation.

Prioritizing Chemicals for Risk Assessment Using Chemoinformatics: Examples from the IARC Monographs on Pesticides.

Science.gov (United States)

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 of effective factors on development of medicinal plants cultivation using analytic network process

Directory of Open Access Journals (Sweden)

Ghorbanali Rassam

2014-07-01

Full Text Available For the overall development of medicinal plants cultivation in Iran, there is a need to identify various effective factors on medicinal plant cultivation. A proper method for identifying the most effective factor on the development of the medicinal plants cultivation is essential. This research conducted in order to prioritizing of the effective criteria for the development of medicinal plant cultivation in North Khorasan province in Iran using Analytical Network Process (ANP method. The multi-criteria decision making (MCDM is suggested to be a viable method for factor selection and the analytic network process (ANP has been used as a tool for MCDM. For this purpose a list of effective factors offered to expert group. Then pair wise comparison questionnaires were distributed between relevant researchers and local producer experts of province to get their opinions about the priority of criteria and sub- criteria. The questionnaires were analyzed using Super Decision software. We illustrated the use of the ANP by ranking main effective factors such as economic, educational-extension services, cultural-social and supportive policies on development of medicinal plants. The main objective of the present study was to develop ANP as a decision making tool for prioritizing factors affecting the development of medicinal plants cultivation. Results showed that the ANP methodology was perfectly suited to tackling the complex interrelations involved in selection factor in this case. Also the results of the process revealed that among the factors, supporting the cultivation of medicinal plants, build the infrastructure for marketing support, having educated farmer and easy access to production input have most impact on the development of medicinal plant cultivation.

Prioritizing Chemicals for Risk Assessment Using Chemoinformatics: Examples from the IARC Monographs on Pesticides

Science.gov (United States)

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;�

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

Science.gov (United States)

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.

An Analytical Framework for Delirium Research in Palliative Care Settings: Integrated Epidemiologic, Clinician-Researcher, and Knowledge User Perspectives

Science.gov (United States)

Ansari, Mohammed; Hosie, Annmarie; Kanji, Salmaan; Momoli, Franco; Bush, Shirley H.; Watanabe, Sharon; Currow, David C.; Gagnon, Bruno; Agar, Meera; Bruera, Eduardo; Meagher, David J.; de Rooij, Sophia E.J.A.; Adamis, Dimitrios; Caraceni, Augusto; Marchington, Katie; Stewart, David J.

2014-01-01

Context Delirium often presents difficult management challenges in the context of goals of care in palliative care settings. Objectives The aim was to formulate an analytical framework for further research on delirium in palliative care settings, prioritize the associated research questions, discuss the inherent methodological challenges associated with relevant studies, and outline the next steps in a program of delirium research. Methods We combined multidisciplinary input from delirium researchers and knowledge users at an international delirium study planning meeting, relevant literature searches, focused input of epidemiologic expertise, and a meeting participant and coauthor survey to formulate a conceptual research framework and prioritize research questions. Results Our proposed framework incorporates three main groups of research questions: the first was predominantly epidemiologic, such as delirium occurrence rates, risk factor evaluation, screening, and diagnosis; the second covers pragmatic management questions; and the third relates to the development of predictive models for delirium outcomes. Based on aggregated survey responses to each research question or domain, the combined modal ratings of “very” or “extremely” important confirmed their priority. Conclusion Using an analytical framework to represent the full clinical care pathway of delirium in palliative care settings, we identified multiple knowledge gaps in relation to the occurrence rates, assessment, management, and outcome prediction of delirium in this population. The knowledge synthesis generated from adequately powered, multicenter studies to answer the framework’s research questions will inform decision making and policy development regarding delirium detection and management and thus help to achieve better outcomes for patients in palliative care settings. PMID:24726762

Considerations on the selection and prioritization of information security solutions

Directory of Open Access Journals (Sweden)

Maria Cristina RĂDULESCU

2016-05-01

Full Text Available This paper provides a set of guidelines that can be used for prescribing a methodology or a detailed process for selecting and prioritizing security projects or solutions. It is based on the idea that costs of security solutions should be justified by their contribution to ensuring adequate protection of information resources in the organization which implements them. The article reviews general issues of security risks and costs, arguing the need for explicit consideration of information resources security requirements in order to validate decisions concerning security projects implementation. In such an approach, security requirements of information resources are used as a reference system to quantify the benefits and limitations of security solutions defined as alternative or complementary responses to certain security risks as their implementation faces budget constraints.

Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin

Science.gov (United States)

Davis, John M.; Ekman, Drew R.; Teng, Quincy; Ankley, Gerald T.; Berninger, Jason P.; Cavallin, Jenna E.; Jensen, Kathleen M.; Kahl, Michael D.; Schroeder, Anthony L.; Villeneuve, Daniel L.; Jorgenson, Zachary G.; Lee, Kathy E.; Collette, Timothy W.

2016-01-01

The ability to focus on the most biologically relevant contaminants affecting aquatic ecosystems can be challenging because toxicity-assessment programs have not kept pace with the growing number of contaminants requiring testing. Because it has proven effective at assessing the biological impacts of potentially toxic contaminants, profiling of endogenous metabolites (metabolomics) may help screen out contaminants with a lower likelihood of eliciting biological impacts, thereby prioritizing the most biologically important contaminants. The authors present results from a study that utilized cage-deployed fathead minnows (Pimephales promelas) at 18 sites across the Great Lakes basin. They measured water temperature and contaminant concentrations in water samples (132 contaminants targeted, 86 detected) and used 1H-nuclear magnetic resonance spectroscopy to measure endogenous metabolites in polar extracts of livers. They used partial least-squares regression to compare relative abundances of endogenous metabolites with contaminant concentrations and temperature. The results indicated that profiles of endogenous polar metabolites covaried with at most 49 contaminants. The authors identified up to 52% of detected contaminants as not significantly covarying with changes in endogenous metabolites, suggesting they likely were not eliciting measurable impacts at these sites. This represents a first step in screening for the biological relevance of detected contaminants by shortening lists of contaminants potentially affecting these sites. Such information may allow risk assessors to prioritize contaminants and focus toxicity testing on the most biologically relevant contaminants. Environ Toxicol Chem 2016;35:2493–2502.

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

Science.gov (United States)

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.

A COMPARISON OF APPROACHES TO PRIORITIZING SITES FOR RIPARIAN RESTORATION

Science.gov (United States)

This study compares the results of Olson and Harris (1997) and Russell et al.(1997)in their work to prioritize sites for riparian restoration in the San Luis Rey River watershed. Olson and Harris defined reaches of the mainstem and evaluated the relative potential for restoration...

Redefining Leadership Education in Graduate Public Health Programs: Prioritization, Focus, and Guiding Principles

Science.gov (United States)

Oxendine, Jeffrey S.

2015-01-01

Public health program graduates need leadership skills to be effective in the complex, changing public health environment. We propose a new paradigm for schools of public health in which technical and leadership skills have equal priority as core competencies for graduate students. Leadership education should focus on the foundational skills necessary to effect change independent of formal authority, with activities offered at varying levels of intensity to engage different students. Leadership development initiatives should be practice based, process focused, interdisciplinary, diversity based, adaptive, experimental, innovative, and empowering, and they should encourage authenticity. Leadership training in graduate programs will help lay the groundwork for public health professionals to have an immediate impact in the workforce and to prioritize continuous leadership development throughout their careers. PMID:25706021

Redefining leadership education in graduate public health programs: prioritization, focus, and guiding principles.

Science.gov (United States)

Lachance, Jennifer A; Oxendine, Jeffrey S

2015-03-01

Public health program graduates need leadership skills to be effective in the complex, changing public health environment. We propose a new paradigm for schools of public health in which technical and leadership skills have equal priority as core competencies for graduate students. Leadership education should focus on the foundational skills necessary to effect change independent of formal authority, with activities offered at varying levels of intensity to engage different students. Leadership development initiatives should be practice based, process focused, interdisciplinary, diversity based, adaptive, experimental, innovative, and empowering, and they should encourage authenticity. Leadership training in graduate programs will help lay the groundwork for public health professionals to have an immediate impact in the workforce and to prioritize continuous leadership development throughout their careers.

Development of fuzzy multi-criteria approach to prioritize locations of treated wastewater use considering climate change scenarios.

Science.gov (United States)

Chung, Eun-Sung; Kim, Yeonjoo

2014-12-15

This study proposed a robust prioritization framework to identify the priorities of treated wastewater (TWW) use locations with consideration of various uncertainties inherent in the climate change scenarios and the decision-making process. First, a fuzzy concept was applied because future forecast precipitation and their hydrological impact analysis results displayed significant variances when considering various climate change scenarios and long periods (e.g., 2010-2099). Second, various multi-criteria decision making (MCDM) techniques including weighted sum method (WSM), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy TOPSIS were introduced to robust prioritization because different MCDM methods use different decision philosophies. Third, decision making method under complete uncertainty (DMCU) including maximin, maximax, minimax regret, Hurwicz, and equal likelihood were used to find robust final rankings. This framework is then applied to a Korean urban watershed. As a result, different rankings were obviously appeared between fuzzy TOPSIS and non-fuzzy MCDMs (e.g., WSM and TOPSIS) because the inter-annual variability in effectiveness was considered only with fuzzy TOPSIS. Then, robust prioritizations were derived based on 18 rankings from nine decadal periods of RCP4.5 and RCP8.5. For more robust rankings, five DMCU approaches using the rankings from fuzzy TOPSIS were derived. This framework combining fuzzy TOPSIS with DMCU approaches can be rendered less controversial among stakeholders under complete uncertainty of changing environments. Copyright © 2014 Elsevier Ltd. All rights reserved.

Prioritization of renewable energy sources for Turkey by using a hybrid MCDM methodology

International Nuclear Information System (INIS)

Kabak, Mehmet; Dağdeviren, Metin

2014-01-01

Highlights: • The paper proposes a hybrid model to prioritize RE sources for Turkey. • The hybrid model based on BOCR and ANP is proposed under linguistic values. • Strategic criteria are economy, security, wellbeing, technology and global effects. • Nineteen criteria are used to evaluate hydro, geothermal, solar, wind and biomass. - Abstract: Developing countries such as Turkey, with their fast growing population and economy, are facing an increasing demand for energy. Turkey does not possess a sufficient quantity of domestic oil and natural gas resources to support this growing demand. On the other hand, the country does have abundant reserves of renewable energy that can be a major component in providing part of the overall energy supply. The country plans to explore its renewable energy (RE) sources and increase the renewable energy share in near future. With this in mind, this paper proposes a hybrid model based on BOCR (Benefits, Opportunities, Costs and Risks) and ANP (Analytic Network Process) to determine Turkey’s energy status and prioritize alternative RE sources. BOCR analysis provides a strategic analysis and detailed overview of the country’s energy issues. ANP is a practical multi criteria decision making (MCDM) method and offers the advantages of decision making models, based on tangible and intangible factors. 19 criteria are used to evaluate five alternative RE sources (Hydro, Geothermal, Solar, Wind and Biomass). The subsequent results show that the most important strategic criterion is economy; other criteria include security, human wellbeing, technology and global effects. Their weights are 0.485, 0.235, 0.130, 0.097 and 0.053, respectively. In the conclusion of this paper, the authors propose hydro power as the optimal RE source for the country

Lives Saved Tool (LiST) costing: a module to examine costs and prioritize interventions.

Science.gov (United States)

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

Lives Saved Tool (LiST costing: a module to examine costs and prioritize interventions

Directory of Open Access Journals (Sweden)

Lori A. Bollinger

2017-11-01

Full Text Available Abstract Background 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. Methods 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 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. Conclusions 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

Problem Prioritization in Usability Evaluation:

DEFF Research Database (Denmark)

Hertzum, Morten

2006-01-01

Severity assessments enable prioritization of problems encountered during usability evaluations and thereby provide a device for guiding the utilization of design resources. However, designers' response to usability evaluations is also influenced by other factors, which may overshadow severity....... With the purpose of enhancing the impact of severity assessments, this study combines a field study of factors that influence the impact of evaluations with an experimental study of severity assessments made during usability inspections. The results show that even in a project receptive to input from evaluations...... their impact was highly dependent on conducting evaluations early. This accorded with an informal method that blended elements of usability evaluation and participatory design and could be extended with user-made severity assessments. The major cost associated with the evaluations was not finding but fixing...

Business-oriented prioritization: A novel graphical technique

International Nuclear Information System (INIS)

Pascual, R.; Del Castillo, G.; Louit, D.; Knights, P.

2009-01-01

Traditionally, Pareto analysis has been used to select the most critical components and failure modes of a system. A clear disadvantage of this technique is that it requires preselecting a single criterion to establish priorities. More recently, a graphical log-scatter diagram technique has been proposed. It considers three key performance indicators simultaneously: reliability (MTBF), maintainability (MTTR), and unavailability (D). This technique considers only times and does not include economical effects explicitly. This article extends both techniques to explicitly consider both direct and indirect costs to prioritize from the point of view of an asset manager or from a maintenance decision-maker, as required. Due to the economic-based approach of this article, cost discounting is also considered inside financial costs such as-but not limited to-reliability-related investments. Also, the results are displayed on simple and accessible graphs which make them particularly useful for conveying results to non-technical managers. The methodology is illustrated by analyzing a shovel from the copper mine industry, and it clearly shows how the proposed technique facilitates business oriented decisions and how they should change under different market conditions.

Business-oriented prioritization: A novel graphical technique

Energy Technology Data Exchange (ETDEWEB)

Pascual, R. [Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile)], E-mail: rpascual@ing.puc.cl; Del Castillo, G. [Department of Mechanical Engineering, Universidad de Chile, Casilla 2777, Santiago (Chile); Louit, D. [Komatsu Chile, Av. Americo Vespucio 0631, Quilicura, Santiago (Chile); Centro de Mineria, Pontificia Universidad Catolica de Chile, Av. Vicuna Mackenna 4860, Santiago (Chile); Knights, P. [Division of Mining Engineering, Faculty of Engineering, Architecture and Information Technology, The University of Queensland, St. Lucia, Brisbane, 4072 (Australia)

2009-08-15

Traditionally, Pareto analysis has been used to select the most critical components and failure modes of a system. A clear disadvantage of this technique is that it requires preselecting a single criterion to establish priorities. More recently, a graphical log-scatter diagram technique has been proposed. It considers three key performance indicators simultaneously: reliability (MTBF), maintainability (MTTR), and unavailability (D). This technique considers only times and does not include economical effects explicitly. This article extends both techniques to explicitly consider both direct and indirect costs to prioritize from the point of view of an asset manager or from a maintenance decision-maker, as required. Due to the economic-based approach of this article, cost discounting is also considered inside financial costs such as-but not limited to-reliability-related investments. Also, the results are displayed on simple and accessible graphs which make them particularly useful for conveying results to non-technical managers. The methodology is illustrated by analyzing a shovel from the copper mine industry, and it clearly shows how the proposed technique facilitates business oriented decisions and how they should change under different market conditions.

The noise control prioritizing index in a tire manufacturing company

Directory of Open Access Journals (Sweden)

Rostam Golmohammadi

2017-11-01

Conclusion; the results of the present study indicated that using an index resulted from a combination of various parameters affecting the noise pollution, we would be able to prioritize units for implementing noise pollution control confidently. The results of the present study are applicable to all similar industrial settings.

Identification and Prioritization of Marketing Mix Elements Affecting the Export of Saffron from the Perspective of Experts

Directory of Open Access Journals (Sweden)

Mohammad Ghodoosi

2016-01-01

Full Text Available The importance of saffron in the growth of non-oil exports makes it necessary to explain proper marketing systems based on expert priorities. The aim of this study is to identify and prioritize marketing mix elements influencing the increase in export of this product. In this regard, based on McCarthy's 4P model, different criteria for export marketing of this product were determined and prioritized using Analytical Hierarchy Process and interviews with 63 experts in the export of saffron. Based on the findings, product criteria with important sub criteria such as brands, the standard sign and packaging weighting 0.485, have the highest priority in saffron marketing. Promotion criteria (weight 0.281 are the next important in determining the marketing mix. Among the indicators of this criterion, advertisements (0.408, overseas sales (0.23 and specialized exhibitions (0.138 were the determining factors in maintaining Iran`s share of this market.  Finally, the criteria of price (weight 0.183 and distribution (0.068 have third and fourth priority in saffron marketing mix. Accordingly, identifying distribution channels in target markets, funding the establishment of an international distribution network for Iranian brands, supporting mechanized production process of saffron, and encouraging and requiring manufacturers to food-grade and health license are required and recommended.

Development of the Remedial Action Priority System: an improved risk assessment tool for prioritizing hazardous and radioactive-mixed waste disposal sites

International Nuclear Information System (INIS)

Whelan, G.; Strenge, D.L.; Steelman, B.L.; Hawley, K.A.

1985-08-01

The Remedial Action Priority System (RAPS) represents a methodology that prioritizes inactive hazardous and radioactive mixed-waste disposal sites in a scientific and objective manner based on limited site information. This methodology is intended to bridge the technology gap that exists between the initial site evaluation using the Hazard Ranking System (HRS) and the time-consuming process of actual field site characterization, assessment, and remediation efforts. The HRS was designed as an initial screening tool to discriminate between hazardous waste sites that do not and those that are likely to pose significant problems to human health, safety, and/or the environment. The HRS is used by the US Environmental Protection Agency to identify sites for nomination to the National Priorites List (NPL). Because the HRS is not designed to evaluate sites containing radionuclides, a modified Hazard Ranking System (mHRS) addressing both hazardous and radioactive mixed wastes was developed by Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). Neither the HRS nor the mHRS was designed to prioritize sites that are nominated to the NPL according to their potential risks. 15 refs., 6 figs., 3 tabs

Identify and Prioritize of Organizational Strategies by the Combination of SWOT Analysis and MCDM Approach- Case Study: kalleh Company in Gilan

Directory of Open Access Journals (Sweden)

amir soltanalizadeh

2017-12-01

Full Text Available The process of globalization and rapid technological developments are causing rapid changes in markets. Successfully in challenging markets of the future requires an informed and ready to respond quickly. The aim of this study is to evaluate and prioritize the organizational strategies of sales and distribution of Kalleh Company in Gilan. In order to analyze the strengths, weaknesses, opportunities and threats of the organization, SOWT matrix was used. The matrix was developed four strategies based on internal and external factors. Since then devise strategies using multi-criteria decision-making Method (topsis were prioritized. Data collection was done through the study of documents, records, interviews and distributed two questionnaires. Accordingly, the two strategies that prioritize the strategies than they value large quantity include: Firstlly organization must maintain high quality products with full implementation of the cold chain process and products to provide the market with better quality compared to the products of competitors. The second priority of the organization the miniature capillary marketing and focus on the performance of distribution channels and distinction at the time of delivery time with the implementation of this strategy increases the number of new customers and the volume of previous customers.

High-performance data centers: A research roadmap

Energy Technology Data Exchange (ETDEWEB)

Tschudi, William; Xu, Tengfang; Sartor, Dale; Stein, Jay

2004-03-30

This report was developed for the California Energy Commission to document industry input and LBNL research into research topics appropriate for public interest support. Industry experts identified research topics and along with LBNL findings, helped to prioritize the technical areas for future public interest research.

Research-based design & design-based research: Affordances, limitations and synergies

NARCIS (Netherlands)

McKenney, Susan

2015-01-01

Research-based design is an orientation to educational development that is explicitly informed by existing research as well as formative evaluation. Design-based research is a genre of inquiry in which the design of innovative solutions to problems in educational practice provides the context for

Original Research

African Journals Online (AJOL)

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2014-09-18

Sep 18, 2014 ... underlying goal is evidence- and outcome-based planning and implementation of ... prioritize maize production over cash crops for the market .... balances, scientific calculators, Global Positioning System. (GPS) were used ...

Prioritization of water management under climate change and urbanization using multi-criteria decision making methods

Directory of Open Access Journals (Sweden)

J.-S. Yang

2012-03-01

Full Text Available This paper quantifies the transformed effectiveness of alternatives for watershed management caused by climate change and urbanization and prioritizes five options using multi-criteria decision making techniques. The climate change scenarios (A1B and A2 were obtained by using a statistical downscaling model (SDSM, and the urbanization scenario by surveying the existing urban planning. The flow and biochemical oxygen demand (BOD concentration duration curves were derived, and the numbers of days required to satisfy the environmental flow requirement and the target BOD concentration were counted using the Hydrological Simulation Program-Fortran (HSPF model. In addition, five feasible alternatives were prioritized by using multi-criteria decision making techniques, based on the driving force-pressure-state-impact-response (DPSIR framework and cost component. Finally, a sensitivity analysis approach for MCDM methods was conducted to reduce the uncertainty of weights. The result indicates that the most sensitive decision criterion is cost, followed by criteria response, driving force, impact, state and pressure in that order. As it is certain that the importance of cost component is over 0.127, construction of a small wastewater treatment plant will be the most preferred alternative in this application.

Cochrane systematic reviews are useful to map research gaps for decreasing maternal mortality.

Science.gov (United States)

Chapman, Evelina; Reveiz, Ludovic; Chambliss, Amy; Sangalang, Stephanie; Bonfill, Xavier

2013-01-01

To use an "evidence-mapping" approach to assess the usefulness of Cochrane reviews in identifying research gaps in the maternal health. The article describes the general mapping, prioritizing, reconciling, and updating approach: (1) identifying gaps in the maternal health research using published systematic reviews and formulating research questions, (2) prioritizing questions using Delphi method, (3) reconciling identified research priorities with the existing literature (i.e., searching of ongoing trials in trials registries), (4) updating the process. A comprehensive search of Cochrane systematic reviews published or updated from January 2006 to March 2011 was performed. We evaluated the "Implications for Research" section to identify gaps in the research. Our search strategy identified 695 references; 178 systematic reviews identifying at least one research gap were used. We formulated 319 research questions, which were classified into 11 different categories based on the direct and indirect causes of maternal mortality: postpartum hemorrhage, abortion, hypertensive disorders, infection/sepsis, caesarean section, diabetes, pregnancy prevention, preterm labor, other direct causes, indirect causes, and health policies and systems. Most research questions concerned the effectiveness of clinical interventions, including drugs (42.6%), nonpharmacologic interventions (16.3%), and health system (14.7%). It is possible to identify gaps in the maternal health research by using this approach. Copyright © 2013 Elsevier Inc. All rights reserved.

Genomic dissection and prioritizing of candidate genes of QTL for ...

Indian Academy of Sciences (India)

Genomic dissection and prioritizing of candidate genes of QTL for regulating spontaneous arthritis on chromosome 1 in mice deficient for interleukin-1 receptor antagonist. Yanhong Cao, Jifei Zhang, Yan Jiao, Jian Yan, Feng Jiao, XiaoYun Liu, Robert W. Williams, Karen A. Hasty,. John M. Stuart and Weikuan Gu. J. Genet.

In Silico Systems Biology Analysis of Variants of Uncertain Significance in Lynch Syndrome Supports the Prioritization of Functional Molecular Validation.

Science.gov (United States)

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.

Prioritizing quality over profit : Value trade-offs within architect-client relations

NARCIS (Netherlands)

Bos-De Vos, M.; Volker, L.; Wamelink, J.W.F.

2015-01-01

Architectural service delivery involves a complex system of economic and quality related value dimensions, which are mutually dependent and prioritized differently by actors. Responding to professional logics as well as organizational logics, value creation goals of architects and clients are

Procedure for Prioritization of Natural Phenomena Hazards Evaluations for Existing DOE Facilities

Energy Technology Data Exchange (ETDEWEB)

Conrads, T.J., Westinghouse Hanford

1996-05-07

This document describes the procedure to be used for the prioritization for natural phenomena hazards evaluations of existing DOE facilities in conformance with DOE Order 5480.28, `Natural Phenomena Hazards Mitigation.`

Risk ranking of LANL nuclear material storage containers for repackaging prioritization.

Science.gov (United States)

Smith, Paul H; Jordan, Hans; Hoffman, Jenifer A; Eller, P Gary; Balkey, Simon

2007-05-01

Safe handling and storage of nuclear material at U.S. Department of Energy facilities relies on the use of robust containers to prevent container breaches and subsequent worker contamination and uptake. The U.S. Department of Energy has no uniform requirements for packaging and storage of nuclear materials other than those declared excess and packaged to DOE-STD-3013-2000. This report describes a methodology for prioritizing a large inventory of nuclear material containers so that the highest risk containers are repackaged first. The methodology utilizes expert judgment to assign respirable fractions and reactivity factors to accountable levels of nuclear material at Los Alamos National Laboratory. A relative risk factor is assigned to each nuclear material container based on a calculated dose to a worker due to a failed container barrier and a calculated probability of container failure based on material reactivity and container age. This risk-based methodology is being applied at LANL to repackage the highest risk materials first and, thus, accelerate the reduction of risk to nuclear material handlers.

Prioritizing pesticide compounds for analytical methods development

Science.gov (United States)

Norman, Julia E.; Kuivila, Kathryn; Nowell, Lisa H.

2012-01-01

The U.S. Geological Survey (USGS) has a periodic need to re-evaluate pesticide compounds in terms of priorities for inclusion in monitoring and studies and, thus, must also assess the current analytical capabilities for pesticide detection. To meet this need, a strategy has been developed to prioritize pesticides and degradates for analytical methods development. Screening procedures were developed to separately prioritize pesticide compounds in water and sediment. The procedures evaluate pesticide compounds in existing USGS analytical methods for water and sediment and compounds for which recent agricultural-use information was available. Measured occurrence (detection frequency and concentrations) in water and sediment, predicted concentrations in water and predicted likelihood of occurrence in sediment, potential toxicity to aquatic life or humans, and priorities of other agencies or organizations, regulatory or otherwise, were considered. Several existing strategies for prioritizing chemicals for various purposes were reviewed, including those that identify and prioritize persistent, bioaccumulative, and toxic compounds, and those that determine candidates for future regulation of drinking-water contaminants. The systematic procedures developed and used in this study rely on concepts common to many previously established strategies. The evaluation of pesticide compounds resulted in the classification of compounds into three groups: Tier 1 for high priority compounds, Tier 2 for moderate priority compounds, and Tier 3 for low priority compounds. For water, a total of 247 pesticide compounds were classified as Tier 1 and, thus, are high priority for inclusion in analytical methods for monitoring and studies. Of these, about three-quarters are included in some USGS analytical method; however, many of these compounds are included on research methods that are expensive and for which there are few data on environmental samples. The remaining quarter of Tier 1

A risk perception gap? Comparing expert, producer and consumer prioritization of food hazard controls.

Science.gov (United States)

Hartmann, Christina; Hübner, Philipp; Siegrist, Michael

2018-06-01

Using a survey approach, the study examined how experts (i.e. food control representatives), producers (i.e. food industry representatives) and consumers prioritized control activities for 28 hazards related to food and other everyday items. The investigated hazards encompassed a wide range of safety issues, including health risks, consumer deception and poor food hygiene behaviour. The participants included 41 experts, 138 producers and 243 consumers from the German- and French-speaking parts of Switzerland. Based on detailed descriptions of the hazards, they were asked to rank these on a score sheet in terms of the perceived importance of monitoring by food control authorities. A between-group comparison of average rankings showed that consumers and experts differed significantly in relation to 17 of the 28 hazards. While the experts assigned higher priority to hazards related to everyday items such as nitrosamine in mascara and chromium VI in leather products, producers and consumers tended to prioritize products related to plant treatment and genetic modification of food and feeds. Producer and consumer rankings of the hazards were highly correlated (r = .96, p < .001). Rankings were also similar among participants from the two cultural regions (i.e. German and French-speaking parts of Switzerland). Copyright © 2018 Elsevier Ltd. All rights reserved.

A Novel Prioritization Scheme to Improve QoS in IEEE 802.11e Networks

Directory of Open Access Journals (Sweden)

Navid Tadayon

2010-01-01

Full Text Available IEEE 802.11 WLAN utilizes a distributed function at its MAC layer, namely, DCF to access the wireless medium. Due to its distributed nature, DCF is able to guarantee working stability in a wireless medium while maintaining the assembling and maintenance cost in a low level. However, DCF is inefficient in dealing with real-time traffics due to its incapability on providing QoS. IEEE 802.11e was introduced as a supplementary standard to cope with this problem. This standard introduces an Enhanced Distributed Coordination Function (EDCF that works based on diff-Serve model and can serve multiple classes of traffics (by using different prioritizations schemes. With the emergence of new time-sensitive applications, EDCF has proved to be yet inefficient in dealing with these kinds of traffics because it could not provide network with well-differentiated QoS. In this study, we propose a novel prioritization scheme to improve QoS level in IEEE 802.11e network. In this scheme, we replace Uniform PDF with Gamma PDF, which has salient differentiating properties. We investigate the suitability and superiority of this scheme on furnishing network with well-differentiated QoS using probabilistic analysis. We strengthen our claims by extensive simulation runs.

Evaluation of risk prioritization and budget allocation methods for pollution prevention activities

International Nuclear Information System (INIS)

Daniels, J.; Jones, E.; Lmont, A.; Ladmn, T.; Watz, J.

1997-01-01

This study reviews the structure of two main risk prioritization budget allocation methods developed by the DOE Risk-Based Priority Mode (RPM) and Management Evaluation Matrix (MEM). It identifies potential augmentations to the process that will address both risk reduction and cost-effective investments of finite resources for future Environmental Management activities. The evaluation was performed in accordance with the EM ten-year vision and principles for site cleanup. The evaluation and recommendations in this report strive to reflect four key principles, namely to eliminate the most urgent risks, reduce mortgage and support costs to make funds available for further risk reduction, protect worker health and safety, and reduce the generation of wastes

MetaCompare: A computational pipeline for prioritizing environmental resistome risk.

Science.gov (United States)

Oh, Min; Pruden, Amy; Chen, Chaoqi; Heath, Lenwood S; Xia, Kang; Zhang, Liqing

2018-04-26

The spread of antibiotic resistance is a growing public health concern. While numerous studies have highlighted the importance of environmental sources and pathways of the spread of antibiotic resistance, a systematic means of comparing and prioritizing risks represented by various environmental compartments is lacking. Here we introduce MetaCompare, a publicly-available tool for ranking 'resistome risk,' which we define as the potential for antibiotic resistance genes (ARGs) to be associated with mobile genetic elements (MGEs) and mobilize to pathogens based on metagenomic data. A computational pipeline was developed in which each ARG is evaluated based on relative abundance, mobility, and presence within a pathogen. This is determined through assembly of shotgun sequencing data and analysis of contigs containing ARGs to determine if they contain sequence similarity to MGEs or human pathogens. Based on the assembled metagenomes, samples are projected into a 3-D hazard space and assigned resistome risk scores. To validate, we tested previously published metagenomic data derived from distinct aquatic environments. Based on unsupervised machine learning, the test samples clustered in the hazard space in a manner consistent with their origin. The derived scores produced a well-resolved ascending resistome risk ranking of: wastewater treatment plant effluent, dairy lagoon, hospital sewage.

Systematic integration of biomedical knowledge prioritizes drugs for repurposing.

Science.gov (United States)

Himmelstein, Daniel Scott; Lizee, Antoine; Hessler, Christine; Brueggeman, Leo; Chen, Sabrina L; Hadley, Dexter; Green, Ari; Khankhanian, Pouya; Baranzini, Sergio E

2017-09-22

The ability to computationally predict whether a compound treats a disease would improve the economy and success rate of drug approval. This study describes Project Rephetio to systematically model drug efficacy based on 755 existing treatments. First, we constructed Hetionet (neo4j.het.io), an integrative network encoding knowledge from millions of biomedical studies. Hetionet v1.0 consists of 47,031 nodes of 11 types and 2,250,197 relationships of 24 types. Data were integrated from 29 public resources to connect compounds, diseases, genes, anatomies, pathways, biological processes, molecular functions, cellular components, pharmacologic classes, side effects, and symptoms. Next, we identified network patterns that distinguish treatments from non-treatments. Then, we predicted the probability of treatment for 209,168 compound-disease pairs (het.io/repurpose). Our predictions validated on two external sets of treatment and provided pharmacological insights on epilepsy, suggesting they will help prioritize drug repurposing candidates. This study was entirely open and received realtime feedback from 40 community members.

Advanced alarm system design and human performance: Guidance development and current research

Energy Technology Data Exchange (ETDEWEB)

O` Hara, J M [Brookhaven National Lab., Upton, NY (United States)

1997-09-01

This paper describes a research program sponsored by the U.S. Nuclear Regulatory Commission to address the human factors engineering (HFE) aspects of nuclear power plant alarm systems. The overall objective of the program is to develop HFE review guidance for advanced alarm systems. Guidance has been developed based on a broad base of technical and research literature. As part of the development effort, aspects of alarm system design for which the technical basis was insufficient to support guidance development were identified and prioritized. Research is currently underway to address the highest priority topics: alarm processing and display characteristics. (author). 29 refs, 2 figs.

Advanced alarm system design and human performance: Guidance development and current research

International Nuclear Information System (INIS)

O'Hara, J.M.

1997-01-01

This paper describes a research program sponsored by the U.S. Nuclear Regulatory Commission to address the human factors engineering (HFE) aspects of nuclear power plant alarm systems. The overall objective of the program is to develop HFE review guidance for advanced alarm systems. Guidance has been developed based on a broad base of technical and research literature. As part of the development effort, aspects of alarm system design for which the technical basis was insufficient to support guidance development were identified and prioritized. Research is currently underway to address the highest priority topics: alarm processing and display characteristics. (author). 29 refs, 2 figs

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

Science.gov (United States)

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.

Krsko periodic safety review project prioritization process

International Nuclear Information System (INIS)

Basic, I.; Vrbanic, I.; Spiler, J.; Lambright, J.

2004-01-01

Definition of a Krsko Periodic Safety Review (PSR) project is a comprehensive safety review of a plant after last ten years of operation. The objective is a verification by means of a comprehensive review using current methods that Krsko NPP remains safety when judged against current safety objectives and practices and that adequate arrangements are in place to maintain plant safety. This objective encompasses the three main criteria or goals: confirmation that the plant is as safe as originally intended, determination if there are any structures, systems or components that could limit the life of the plant in the foreseeable future, and comparison the plant against modern safety standards and to identify where improvements would be beneficial at justifiable cost. Krsko PSR project is structured in the three phases: Phase 1: Preparation of Detailed 10-years PSR Program, Phase 2: Performing of 10-years PSR Program and preparing of associated documents (2001-2003), and Phase 3: Implementation of the prioritized compensatory measures and modifications (development of associated EEAR, DMP, etc.) after agreement with the SNSA on the design, procedures and time-scales (2004-2008). This paper presents the NEK PSR results of work performed under Phase 2 focused on the ranking of safety issues and prioritization of corrective measures needed for establishing an efficient action plan. Safety issues were identified in Phase 2 during the following review processes: Periodic Safety Review (PSR) task; Krsko NPP Regulatory Compliance Program (RCP) review; Westinghouse Owner Group (WOG) catalog items screening/review; SNSA recommendations (including IAEA RAMP mission suggestions/recommendations).(author)

Evaluating the impact of prioritization of antiretroviral pre-exposure prophylaxis (PrEP) in New York City

Science.gov (United States)

Kessler, Jason; Myers, Julie E.; Nucifora, Kimberly A.; Mensah, Nana; Toohey, Christopher; Khademi, Amin; Cutler, Blayne; Braithwaite, R. Scott

2015-01-01

Objective To compare the value and effectiveness of different prioritization strategies of pre-exposure prophylaxis (PrEP) in New York City (NYC). Design Mathematical modeling utilized as clinical trial is not feasible. Methods Using a model accounting for both sexual and parenteral transmission of HIV we compare different prioritization strategies (PPS) for PrEP to two scenarios—no PrEP and PrEP for all susceptible at-risk individuals. The PPS included PrEP for all MSM, only high-risk MSM, high-risk heterosexuals, and injection drug users, and all combinations of these four strategies. Outcomes included HIV infections averted, and incremental cost effectiveness (per-infection averted) ratios. Initial assumptions regarding PrEP included a 44% reduction in HIV transmission, 50% uptake in the prioritized population and an annual cost per person of $9,762. Sensitivity analyses on key parameters were conducted. Results Prioritization to all MSM results in a 19% reduction in new HIV infections. Compared to PrEP for all persons at-risk this PPS retains 79% of the preventative effect at 15% of the total cost. PrEP prioritized to only high-risk MSM results in a reduction in new HIV infections of 15%. This PPS retains 60% of the preventative effect at 6% of the total cost. There are diminishing returns when PrEP utilization is expanded beyond this group. Conclusions PrEP implementation is relatively cost-inefficient under our initial assumptions. Our results suggest that PrEP should first be promoted among MSM who are at particularly high-risk of HIV acquisition. Further expansion beyond this group may be cost-effective, but is unlikely to be cost-saving. PMID:25493594

An integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility Loci for osteoporosis-related traits.

Directory of Open Access Journals (Sweden)

Yi-Hsiang Hsu

2010-06-01

Full Text Available Osteoporosis is a complex disorder and commonly leads to fractures in elderly persons. Genome-wide association studies (GWAS have become an unbiased approach to identify variations in the genome that potentially affect health. However, the genetic variants identified so far only explain a small proportion of the heritability for complex traits. Due to the modest genetic effect size and inadequate power, true association signals may not be revealed based on a stringent genome-wide significance threshold. Here, we take advantage of SNP and transcript arrays and integrate GWAS and expression signature profiling relevant to the skeletal system in cellular and animal models to prioritize the discovery of novel candidate genes for osteoporosis-related traits, including bone mineral density (BMD at the lumbar spine (LS and femoral neck (FN, as well as geometric indices of the hip (femoral neck-shaft angle, NSA; femoral neck length, NL; and narrow-neck width, NW. A two-stage meta-analysis of GWAS from 7,633 Caucasian women and 3,657 men, revealed three novel loci associated with osteoporosis-related traits, including chromosome 1p13.2 (RAP1A, p = 3.6x10(-8, 2q11.2 (TBC1D8, and 18q11.2 (OSBPL1A, and confirmed a previously reported region near TNFRSF11B/OPG gene. We also prioritized 16 suggestive genome-wide significant candidate genes based on their potential involvement in skeletal metabolism. Among them, 3 candidate genes were associated with BMD in women. Notably, 2 out of these 3 genes (GPR177, p = 2.6x10(-13; SOX6, p = 6.4x10(-10 associated with BMD in women have been successfully replicated in a large-scale meta-analysis of BMD, but none of the non-prioritized candidates (associated with BMD did. Our results support the concept of our prioritization strategy. In the absence of direct biological support for identified genes, we highlighted the efficiency of subsequent functional characterization using publicly available expression profiling relevant

Stroke: working toward a prioritized world agenda.

Science.gov (United States)

Hachinski, Vladimir; Donnan, Geoffrey A; Gorelick, Philip B; Hacke, Werner; Cramer, Steven C; Kaste, Markku; Fisher, Marc; Brainin, Michael; Buchan, Alastair M; Lo, Eng H; Skolnick, Brett E; Furie, Karen L; Hankey, Graeme J; Kivipelto, Miia; Morris, John; Rothwell, Peter M; Sacco, Ralph L; Smith, Sidney C; Wang, Yulun; Bryer, Alan; Ford, Gary A; Iadecola, Costantino; Martins, Sheila C O; Saver, Jeff; Skvortsova, Veronika; Bayley, Mark; Bednar, Martin M; Duncan, Pamela; Enney, Lori; Finklestein, Seth; Jones, Theresa A; Kalra, Lalit; Kleim, Jeff; Nitkin, Ralph; Teasell, Robert; Weiller, Cornelius; Desai, Bhupat; Goldberg, Mark P; Heiss, Wolf-Dieter; Saarelma, Osmo; Schwamm, Lee H; Shinohara, Yukito; Trivedi, Bhargava; Wahlgren, Nils; Wong, Lawrence K; Hakim, Antoine; Norrving, Bo; Prudhomme, Stephen; Bornstein, Natan M; Davis, Stephen M; Goldstein, Larry B; Leys, Didier; Tuomilehto, Jaakko

2010-01-01

The aim of the Synergium was to devise and prioritize new ways of accelerating progress in reducing the risks, effects, and consequences of stroke. Preliminary work was performed by 7 working groups of stroke leaders followed by a synergium (a forum for working synergistically together) with approximately 100 additional participants. The resulting draft document had further input from contributors outside the synergium. Recommendations of the Synergium are: Basic Science, Drug Development and Technology: There is a need to develop: (1) New systems of working together to break down the prevalent 'silo' mentality; (2) New models of vertically integrated basic, clinical, and epidemiological disciplines; and (3) Efficient methods of identifying other relevant areas of science. Stroke Prevention: (1) Establish a global chronic disease prevention initiative with stroke as a major focus. (2) Recognize not only abrupt clinical stroke, but subtle subclinical stroke, the commonest type of cerebrovascular disease, leading to impairments of executive function. (3) Develop, implement and evaluate a population approach for stroke prevention. (4) Develop public health communication strategies using traditional and novel (e.g., social media/marketing) techniques. Acute Stroke Management: Continue the establishment of stroke centers, stroke units, regional systems of emergency stroke care and telestroke networks. Brain Recovery and Rehabilitation: (1) Translate best neuroscience, including animal and human studies, into poststroke recovery research and clinical care. (2) Standardize poststroke rehabilitation based on best evidence. (3) Develop consensus on, then implementation of, standardized clinical and surrogate assessments. (4) Carry out rigorous clinical research to advance stroke recovery. Into the 21st Century: Web, Technology and Communications: (1) Work toward global unrestricted access to stroke-related information. (2) Build centralized electronic archives and

Stroke: Working toward a Prioritized World Agenda

Science.gov (United States)

Hachinski, Vladimir; Donnan, Geoffrey A.; Gorelick, Philip B.; Hacke, Werner; Cramer, Steven C.; Kaste, Markku; Fisher, Marc; Brainin, Michael; Buchan, Alastair M.; Lo, Eng H.; Skolnick, Brett E.; Furie, Karen L.; Hankey, Graeme J.; Kivipelto, Miia; Morris, John; Rothwell, Peter M.; Sacco, Ralph L.; Smith, Jr., Sidney C.; Wang, Yulun; Bryer, Alan; Ford, Gary A.; Iadecola, Costantino; Martins, Sheila C.O.; Saver, Jeff; Skvortsova, Veronika; Bayley, Mark; Bednar, Martin M.; Duncan, Pamela; Enney, Lori; Finklestein, Seth; Jones, Theresa A.; Kalra, Lalit; Kleim, Jeff; Nitkin, Ralph; Teasell, Robert; Weiller, Cornelius; Desai, Bhupat; Goldberg, Mark P.; Heiss, Wolf-Dieter; Saarelma, Osmo; Schwamm, Lee H.; Shinohara, Yukito; Trivedi, Bhargava; Wahlgren, Nils; Wong, Lawrence K.; Hakim, Antoine; Norrving, Bo; Prudhomme, Stephen; Bornstein, Natan M.; Davis, Stephen M.; Goldstein, Larry B.; Leys, Didier; Tuomilehto, Jaakko

2010-01-01

Background and Purpose The aim of the Synergium was to devise and prioritize new ways of accelerating progress in reducing the risks, effects, and consequences of stroke. Methods Preliminary work was performed by 7 working groups of stroke leaders followed by a synergium (a forum for working synergistically together) with approximately 100 additional participants. The resulting draft document had further input from contributors outside the synergium. Results Recommendations of the Synergium are: Basic Science, Drug Development and Technology: There is a need to develop: (1) New systems of working together to break down the prevalent ‘silo’ mentality; (2) New models of vertically integrated basic, clinical, and epidemiological disciplines; and (3) Efficient methods of identifying other relevant areas of science. Stroke Prevention: (1) Establish a global chronic disease prevention initiative with stroke as a major focus. (2) Recognize not only abrupt clinical stroke, but subtle subclinical stroke, the commonest type of cerebrovascular disease, leading to impairments of executive function. (3) Develop, implement and evaluate a population approach for stroke prevention. (4) Develop public health communication strategies using traditional and novel (e.g., social media/marketing) techniques. Acute Stroke Management: Continue the establishment of stroke centers, stroke units, regional systems of emergency stroke care and telestroke networks. Brain Recovery and Rehabilitation: (1) Translate best neuroscience, including animal and human studies, into poststroke recovery research and clinical care. (2) Standardize poststroke rehabilitation based on best evidence. (3) Develop consensus on, then implementation of, standardized clinical and surrogate assessments. (4) Carry out rigorous clinical research to advance stroke recovery. Into the 21st Century: Web, Technology and Communications: (1) Work toward global unrestricted access to stroke-related information. (2) Build

Stroke: working toward a prioritized world agenda.

Science.gov (United States)

Hachinski, Vladimir; Donnan, Geoffrey A; Gorelick, Philip B; Hacke, Werner; Cramer, Steven C; Kaste, Markku; Fisher, Marc; Brainin, Michael; Buchan, Alastair M; Lo, Eng H; Skolnick, Brett E; Furie, Karen L; Hankey, Graeme J; Kivipelto, Miia; Morris, John; Rothwell, Peter M; Sacco, Ralph L; Smith, Sidney C; Wang, Yulun; Bryer, Alan; Ford, Gary A; Iadecola, Costantino; Martins, Sheila C O; Saver, Jeff; Skvortsova, Veronika; Bayley, Mark; Bednar, Martin M; Duncan, Pamela; Enney, Lori; Finklestein, Seth; Jones, Theresa A; Kalra, Lalit; Kleim, Jeff; Nitkin, Ralph; Teasell, Robert; Weiller, Cornelius; Desai, Bhupat; Goldberg, Mark P; Heiss, Wolf-Dieter; Saarelma, Osmo; Schwamm, Lee H; Shinohara, Yukito; Trivedi, Bhargava; Wahlgren, Nils; Wong, Lawrence K; Hakim, Antoine; Norrving, Bo; Prudhomme, Stephen; Bornstein, Natan M; Davis, Stephen M; Goldstein, Larry B; Leys, Didier; Tuomilehto, Jaakko

2010-08-01

The aim of the Synergium was to devise and prioritize new ways of accelerating progress in reducing the risks, effects, and consequences of stroke. Preliminary work was performed by seven working groups of stroke leaders followed by a synergium (a forum for working synergistically together) with approximately 100 additional participants. The resulting draft document had further input from contributors outside the synergium. Recommendations of the Synergium are: Basic Science, Drug Development and Technology: There is a need to develop: (1) New systems of working together to break down the prevalent 'silo' mentality; (2) New models of vertically integrated basic, clinical, and epidemiological disciplines; and (3) Efficient methods of identifying other relevant areas of science. Stroke Prevention: (1) Establish a global chronic disease prevention initiative with stroke as a major focus. (2) Recognize not only abrupt clinical stroke, but subtle subclinical stroke, the commonest type of cerebrovascular disease, leading to impairments of executive function. (3) Develop, implement and evaluate a population approach for stroke prevention. (4) Develop public health communication strategies using traditional and novel (eg, social media/marketing) techniques. Acute Stroke Management: Continue the establishment of stroke centers, stroke units, regional systems of emergency stroke care and telestroke networks. Brain Recovery and Rehabilitation: (1) Translate best neuroscience, including animal and human studies, into poststroke recovery research and clinical care. (2) Standardize poststroke rehabilitation based on best evidence. (3) Develop consensus on, then implementation of, standardized clinical and surrogate assessments. (4) Carry out rigorous clinical research to advance stroke recovery. Into the 21st Century: Web, Technology and Communications: (1) Work toward global unrestricted access to stroke-related information. (2) Build centralized electronic archives and

Global sensitivity analysis in wastewater treatment plant model applications: Prioritizing sources of uncertainty

DEFF Research Database (Denmark)

Sin, Gürkan; Gernaey, Krist; Neumann, Marc B.

2011-01-01

This study demonstrates the usefulness of global sensitivity analysis in wastewater treatment plant (WWTP) design to prioritize sources of uncertainty and quantify their impact on performance criteria. The study, which is performed with the Benchmark Simulation Model no. 1 plant design, complements...... insight into devising useful ways for reducing uncertainties in the plant performance. This information can help engineers design robust WWTP plants....... a previous paper on input uncertainty characterisation and propagation (Sin et al., 2009). A sampling-based sensitivity analysis is conducted to compute standardized regression coefficients. It was found that this method is able to decompose satisfactorily the variance of plant performance criteria (with R2...

Identifying and prioritizing the indicators of talent management in recruiting radiology technicians

Directory of Open Access Journals (Sweden)

Sadegheh Hosseinzadeh Nojedeh

2015-09-01

Full Text Available The purpose of this study was identifying and prioritizing the indicators of talent management in recruiting the radiology technicians. The sample for the study was drawn randomly from all managers and personnel of the radiology sector in Ardabil public hospitals. Shannon entropy was applied to weighted criteria. In the next stage, for ranking the indicators of talent management, we employed multi-criteria decision-making techniques of TOPSIS method. Eight indicators were identified and prioritized using the TOPSIS method. These indicators are interest, commitment, skill, specialized knowledge, intelligence, the ability to solve the problem or issue, proper treatment with patient, and relationships with colleagues. The findings indicated that recruiting staff that do their work with love and are committed to the organization tend to be effective in improving hospital performance.

A Research Agenda for Radiation Oncology: Results of the Radiation Oncology Institute’s Comprehensive Research Needs Assessment

International Nuclear Information System (INIS)

Jagsi, Reshma; Bekelman, Justin E.; Brawley, Otis W.; Deasy, Joseph O.; Le, Quynh-Thu; Michalski, Jeff M.; Movsas, Benjamin; Thomas, Charles R.; Lawton, Colleen A.; Lawrence, Theodore S.; Hahn, Stephen M.

2012-01-01

Purpose: To promote the rational use of scarce research funding, scholars have developed methods for the systematic identification and prioritization of health research needs. The Radiation Oncology Institute commissioned an independent, comprehensive assessment of research needs for the advancement of radiation oncology care. Methods and Materials: The research needs assessment used a mixed-method, qualitative and quantitative social scientific approach, including structured interviews with diverse stakeholders, focus groups, surveys of American Society for Radiation Oncology (ASTRO) members, and a prioritization exercise using a modified Delphi technique. Results: Six co-equal priorities were identified: (1) Identify and develop communication strategies to help patients and others better understand radiation therapy; (2) Establish a set of quality indicators for major radiation oncology procedures and evaluate their use in radiation oncology delivery; (3) Identify best practices for the management of radiation toxicity and issues in cancer survivorship; (4) Conduct comparative effectiveness studies related to radiation therapy that consider clinical benefit, toxicity (including quality of life), and other outcomes; (5) Assess the value of radiation therapy; and (6) Develop a radiation oncology registry. Conclusions: To our knowledge, this prioritization exercise is the only comprehensive and methodologically rigorous assessment of research needs in the field of radiation oncology. Broad dissemination of these findings is critical to maximally leverage the impact of this work, particularly because grant funding decisions are often made by committees on which highly specialized disciplines such as radiation oncology are not well represented.

Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study

Directory of Open Access Journals (Sweden)

Yashon O. Ouma

2015-01-01

Full Text Available For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy Process (AHP and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS is evaluated. The pavement distress data was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the pavement conditions for automated maintenance prioritization. From the case study results, four pavement maintenance objectives were determined as road safety, pavement surface preservation, road operational status and standards, and road aesthetics, with corresponding depreciating significance weights of W=0.37,0.31,0.22,0.10T. The top three maintenance functions were identified as Thin Hot Mix Asphalt (HMA overlays, resurfacing and slurry seals, which were a result of pavement cracking, potholes, raveling, and patching, while the bottom three were cape seal, micro surfacing, and fog seal. The two methods gave nearly the same prioritization ranking. In general, the fuzzy AHP approach tended to overestimate the maintenance prioritization ranking as compared to the fuzzy TOPSIS.

Prioritizing investments in innovations to protect women from the leading causes of maternal death.

Science.gov (United States)

Herrick, Tara M; Harner-Jay, Claudia M; Levisay, Alice M; Coffey, Patricia S; Free, Michael J; LaBarre, Paul D

2014-01-09

PATH, an international nonprofit organization, assessed nearly 40 technologies for their potential to reduce maternal mortality from postpartum hemorrhage and preeclampsia and eclampsia in low-resource settings. The evaluation used a new Excel-based prioritization tool covering 22 criteria developed by PATH, the Maternal and Neonatal Directed Assessment of Technology (MANDATE) model, and consultations with experts. It identified five innovations with especially high potential: technologies to improve use of oxytocin, a uterine balloon tamponade, simplified dosing of magnesium sulfate, an improved proteinuria test, and better blood pressure measurement devices. Investments are needed to realize the potential of these technologies to reduce mortality.

Prioritizing towards a green export portfolio for India: An environmental input-output approach

International Nuclear Information System (INIS)

Goldar, Amrita; Bhanot, Jaya; Shimpo, Kazushige

2011-01-01

Proponents of free trade have often hailed international trade as an engine of economic growth. However, the foreign trade sector, like many other sectors in developing countries, frequently involves these countries walking a tightrope between their developmental objectives and environmental goals. In this regard, prioritizing for developing a 'green' yet internationally competitive export portfolio provides a quintessential win-win solution to the problem. This study factors in both environmental benignity (indicated by total CO 2 emission intensity) as well as trade competitiveness (indicated by revealed comparative advantage index) in identifying the 'ideal' Indian export portfolio. The analysis calculates the level of direct and indirect emissions from the foreign trade sector (exports and imports) using the environmental input-output (EIO) matrix for 2003/04 for India that has been jointly developed by researchers from Keio University, Japan, and The Energy and Resources Institute (TERI), New Delhi. The derived basket is compared to the current portfolio to estimate the potential saving from compositional changes and to suggest directions for policymaking to emphasize or de-emphasize the export of certain categories of exports. - Highlights: → India was a net GHG importer (0.064 Gt CO 2 ) in 2003/04. → Emissions from exports and imports were 0.189 and 0.253 Gt CO 2 , respectively. → Prioritizing of exports using IO and RCA shows horticultural exports to be ideal. → Services and gems and jewelry exports were also found suitable. → A composition change in exports leads to reduction in emissions by 30 Mt CO 2 annually.

Long-term research plan for human factors affecting safeguards at nuclear power plants. Volume 1. Summary and users' guide. Vol. 1

International Nuclear Information System (INIS)

O'Brien, J.N.; Fainberg, A.

1984-04-01

This report presents a long-term research plan for addressing human factors which can adversely affect safeguards at nuclear power plants. It was developed in order to prioritize and propose research for NRC in regulating power plant safeguards. Research efforts addressing human factors in safeguards were developed and prioritized according to the importance of human factors areas. Research was also grouped to take advantage of common research approaches and data sources where appropriate. Four main program elements emerged from the analysis, namely (1) Training and Performance Evaluation, (2) Organizational Factors, (3) Man-Machine Interface, and (4) Trustworthiness and Reliability. Within each program element, projects are proposed with results and information flowing between program elements where useful. An overall research plan was developed for a 4-year period and it would lead ultimately to regulatory activities including rulemaking, regulatory guides, and technical bases for regulatory action. The entire plan is summarized in Volume 1 of this report

Citizen participation in patient prioritization policy decisions: an empirical and experimental study on patients' characteristics.

Science.gov (United States)

Diederich, Adele; Swait, Joffre; Wirsik, Norman

2012-01-01

Health systems worldwide are grappling with the need to control costs to maintain system viability. With the combination of worsening economic conditions, an aging population and reductions in tax revenues, the pressures to make structural changes are expected to continue growing. Common cost control mechanisms, e.g. curtailment of patient access and treatment prioritization, are likely to be adversely viewed by citizens. It seems therefore wise to include them in the decision making processes that lead up to policy changes. In the context of a multilevel iterative mixed-method design a quantitative survey representative of the German population (N = 2031) was conducted to probe the acceptance of priority setting in medicine and to explore the practicability of direct public involvement. Here we focus on preferences for patients' characteristics (medical aspects, lifestyle and socio-economic status) as possible criteria for prioritizing medical services. A questionnaire with closed response options was fielded to gain insight into attitudes toward broad prioritization criteria of patient groups. Furthermore, a discrete choice experiment was used as a rigorous approach to investigate citizens' preferences toward specific criteria level in context of other criteria. Both the questionnaire and the discrete choice experiment were performed with the same sample. The citizens' own health and social situation are included as explanatory variables. Data were evaluated using corresponding analysis, contingency analysis, logistic regression and a multinomial exploded logit model. The results show that some medical criteria are highly accepted for prioritizing patients whereas socio-economic criteria are rejected.

Prioritizing the client trust factors in electronic banking using analytic hierarchy process

Directory of Open Access Journals (Sweden)

Hossein vazifedust

2014-04-01

Full Text Available This paper prioritizes the trust factors among electronic banking clients of an Iranian bank named Parsian Bank. The study first analyzes and reviews the literature and interviews with experts of electronic banking and academicians and determines client trust as the most important factor for development of electronic banking. The study also determines different factors associated with trust, which includes individual factors, banking factors and infrastructural factors. The sample populations consist of 25 experts who are academicians, managers and bank officers, clients of electronic banking. The necessary data was collected through conducting interviews and questionnaires and they are analyzed using analytic hierarchy process (AHP. The research findings indicate that the attitudinal factors, telecommunication infrastructure and cultural factors were the most influential factors accordingly and the customer orientation and ease of access were the least influential factors.

Identifying designatable units for intraspecific conservation prioritization: a hierarchical approach applied to the lake whitefish species complex (Coregonus spp.).

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Mee, Jonathan A; Bernatchez, Louis; Reist, Jim D; Rogers, Sean M; Taylor, Eric B

2015-06-01

The concept of the designatable unit (DU) affords a practical approach to identifying diversity below the species level for conservation prioritization. However, its suitability for defining conservation units in ecologically diverse, geographically widespread and taxonomically challenging species complexes has not been broadly evaluated. The lake whitefish species complex (Coregonus spp.) is geographically widespread in the Northern Hemisphere, and it contains a great deal of variability in ecology and evolutionary legacy within and among populations, as well as a great deal of taxonomic ambiguity. Here, we employ a set of hierarchical criteria to identify DUs within the Canadian distribution of the lake whitefish species complex. We identified 36 DUs based on (i) reproductive isolation, (ii) phylogeographic groupings, (iii) local adaptation and (iv) biogeographic regions. The identification of DUs is required for clear discussion regarding the conservation prioritization of lake whitefish populations. We suggest conservation priorities among lake whitefish DUs based on biological consequences of extinction, risk of extinction and distinctiveness. Our results exemplify the need for extensive genetic and biogeographic analyses for any species with broad geographic distributions and the need for detailed evaluation of evolutionary history and adaptive ecological divergence when defining intraspecific conservation units.

Hypothesis-driven and field-validated method to prioritize fragmentation mitigation efforts in road projects.

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Vanthomme, Hadrien; Kolowski, Joseph; Nzamba, Brave S; Alonso, Alfonso

2015-10-01

The active field of connectivity conservation has provided numerous methods to identify wildlife corridors with the aim of reducing the ecological effect of fragmentation. Nevertheless, these methods often rely on untested hypotheses of animal movements, usually fail to generate fine-scale predictions of road crossing sites, and do not allow managers to prioritize crossing sites for implementing road fragmentation mitigation measures. We propose a new method that addresses these limitations. We illustrate this method with data from southwestern Gabon (central Africa). We used stratified random transect surveys conducted in two seasons to model the distribution of African forest elephant (Loxodonta cyclotis), forest buffalo (Syncerus caffer nanus), and sitatunga (Tragelaphus spekii) in a mosaic landscape along a 38.5 km unpaved road scheduled for paving. Using a validation data set of recorded crossing locations, we evaluated the performance of three types of models (local suitability, local least-cost movement, and regional least-cost movement) in predicting actual road crossings for each species, and developed a unique and flexible scoring method for prioritizing road sections for the implementation of road fragmentation mitigation measures. With a data set collected in method was able to identify seasonal changes in animal movements for buffalo and sitatunga that shift from a local exploitation of the site in the wet season to movements through the study site in the dry season, whereas elephants use the entire study area in both seasons. These three species highlighted the need to use species- and season-specific modeling of movement. From these movement models, the method ranked road sections for their suitability for implementing fragmentation mitigation efforts, allowing managers to adjust priority thresholds based on budgets and management goals. The method relies on data that can be obtained in a period compatible with environmental impact assessment

SHEDS-HT: an integrated probabilistic exposure model for prioritizing exposures to chemicals with near-field and dietary sources.

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Isaacs, Kristin K; Glen, W Graham; Egeghy, Peter; Goldsmith, Michael-Rock; Smith, Luther; Vallero, Daniel; Brooks, Raina; Grulke, Christopher M; Özkaynak, Halûk

2014-11-04

United States Environmental Protection Agency (USEPA) researchers are developing a strategy for high-throughput (HT) exposure-based prioritization of chemicals under the ExpoCast program. These novel modeling approaches for evaluating chemicals based on their potential for biologically relevant human exposures will inform toxicity testing and prioritization for chemical risk assessment. Based on probabilistic methods and algorithms developed for The Stochastic Human Exposure and Dose Simulation Model for Multimedia, Multipathway Chemicals (SHEDS-MM), a new mechanistic modeling approach has been developed to accommodate high-throughput (HT) assessment of exposure potential. In this SHEDS-HT model, the residential and dietary modules of SHEDS-MM have been operationally modified to reduce the user burden, input data demands, and run times of the higher-tier model, while maintaining critical features and inputs that influence exposure. The model has been implemented in R; the modeling framework links chemicals to consumer product categories or food groups (and thus exposure scenarios) to predict HT exposures and intake doses. Initially, SHEDS-HT has been applied to 2507 organic chemicals associated with consumer products and agricultural pesticides. These evaluations employ data from recent USEPA efforts to characterize usage (prevalence, frequency, and magnitude), chemical composition, and exposure scenarios for a wide range of consumer products. In modeling indirect exposures from near-field sources, SHEDS-HT employs a fugacity-based module to estimate concentrations in indoor environmental media. The concentration estimates, along with relevant exposure factors and human activity data, are then used by the model to rapidly generate probabilistic population distributions of near-field indirect exposures via dermal, nondietary ingestion, and inhalation pathways. Pathway-specific estimates of near-field direct exposures from consumer products are also modeled

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

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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...

A Research Agenda for Radiation Oncology: Results of the Radiation Oncology Institute's Comprehensive Research Needs Assessment

Energy Technology Data Exchange (ETDEWEB)

Jagsi, Reshma, E-mail: rjagsi@med.umich.edu [Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States); Bekelman, Justin E. [Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA (United States); Brawley, Otis W. [Department of Hematology and Oncology, Emory University, and American Cancer Society, Atlanta, Georgia (United States); Deasy, Joseph O. [Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY (United States); Le, Quynh-Thu [Department of Radiation Oncology, Stanford University, Stanford, CA (United States); Michalski, Jeff M. [Department of Radiation Oncology, Washington University, St. Louis, MO (United States); Movsas, Benjamin [Department of Radiation Oncology, Henry Ford Health System, Detroit, MI (United States); Thomas, Charles R. [Department of Radiation Oncology, Oregon Health and Sciences University, Portland, OR (United States); Lawton, Colleen A. [Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI (United States); Lawrence, Theodore S. [Department of Radiation Oncology, University of Michigan, Ann Arbor, MI (United States); Hahn, Stephen M. [Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA (United States)

2012-10-01

Purpose: To promote the rational use of scarce research funding, scholars have developed methods for the systematic identification and prioritization of health research needs. The Radiation Oncology Institute commissioned an independent, comprehensive assessment of research needs for the advancement of radiation oncology care. Methods and Materials: The research needs assessment used a mixed-method, qualitative and quantitative social scientific approach, including structured interviews with diverse stakeholders, focus groups, surveys of American Society for Radiation Oncology (ASTRO) members, and a prioritization exercise using a modified Delphi technique. Results: Six co-equal priorities were identified: (1) Identify and develop communication strategies to help patients and others better understand radiation therapy; (2) Establish a set of quality indicators for major radiation oncology procedures and evaluate their use in radiation oncology delivery; (3) Identify best practices for the management of radiation toxicity and issues in cancer survivorship; (4) Conduct comparative effectiveness studies related to radiation therapy that consider clinical benefit, toxicity (including quality of life), and other outcomes; (5) Assess the value of radiation therapy; and (6) Develop a radiation oncology registry. Conclusions: To our knowledge, this prioritization exercise is the only comprehensive and methodologically rigorous assessment of research needs in the field of radiation oncology. Broad dissemination of these findings is critical to maximally leverage the impact of this work, particularly because grant funding decisions are often made by committees on which highly specialized disciplines such as radiation oncology are not well represented.

[Prioritization and Consentation of Criteria for the Appraisal, Funding and Evaluation of Projects from the German Innovationsfonds: A multi-perspective Delphi study].

Science.gov (United States)

Schmitt, J; Petzold, T; Nellessen-Martens, G; Pfaff, H

2015-09-01

The German Innovationsfonds provides the chance for evidence-based developments of the German healthcare system. Prioritization of recommendations for an effective, efficient, fair, transparent, and sustainable granting of funds through a transparent, evidence-driven consensus-process involving all relevant stakeholder groups. Representatives from health and research policy, payers, patient representatives, healthcare providers, and scientists were invited to nominate participants for an electronic 3 round iterative Delphi-study to prioritize the thematic focus, requirements concerning study methods, the team of applicants, evaluation, utilization of study results, and for the selection of reviewers. Criteria considered as relevant by at least 60% of the panel (consensus definition) in the first 2 Delphi rounds were rated as facultative, preferable, or obligatory criteria for project funding. Data were analyzed descriptively. ( Datenbank Versorgungsforschung Deutschland VfD_15_003561). All invited stakeholder groups except payers participated. 34 (85%) of 40 nominated representatives participated in the Delphi-study. A total of 64 criteria were consented as relevant for project review and funding concerning the thematic focus (n=28), methodological requirements (n=13), requirements for applicants (n=4), for the evaluation (n=4), utilization (n=6), and selection of peer reviewers (n=9). It is the collective responsibility of all stakeholders to spend the designated funds as efficient and sustainable as possible. The consented recommendations shall serve decision makers as a resource for the granting of funds and the evaluation of the Innovationsfonds. © Georg Thieme Verlag KG Stuttgart · New York.

The EPA Comptox Chemistry Dashboard: A Web-Based Data Integration Hub for Toxicology Data (SOT)

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The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data drive...

Designing an AHP methodology to prioritize critical elements for product innovation: an intellectual capital perspective

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Costa, R. V.

2015-08-01

Full Text Available Intellectual capital has for the past decades been evidenced as an important source of competitive advantages and differentiation at the firm level. At the same time, innovation has become a critical factor for companies to ensure their sustainability and even their survival in a globalized business landscape. Having in mind these two crucial concepts for business success, this study intends to build on the relationships between intellectual capital and product innovation at the firm level. Specifically, we will design and test a model based on the Analytic Hierarchy Process, whose aim is to allow the prioritization of intellectual capital elements according to their relative importance for product innovation performance at the firm level. The main goal of this research is to build a diagnosis and action tool that helps business managers incorporate an intellectual capital perspective into their product innovation initiatives. This framework will help managers to better understand which intellectual capital elements are more critical to their product innovation efforts, and thereby systematize actions and clarify resource allocation priorities to improve their product innovation capabilities. In order to validate the practicability of this proposal, the methodology was empirically applied to a Portuguese innovative company.

Gaps in Current Knowledge and Priorities for Future Research in Dry Eye.

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Saldanha, Ian J; Dickersin, Kay; Hutfless, Susan T; Akpek, Esen K

2017-12-01

Dry eye, a common yet underrecognized and evolving field, has few recommended treatment algorithms, mostly based on expert consensus rather than robust research evidence. There are high costs associated with managing dry eye and conducting research to identify effective and safe long-term treatments. To support evidence-based management of dry eye, our purpose was to identify and prioritize important clinical research questions for future clinical research. We translated recommendations from the American Academy of Ophthalmology's 2013 Preferred Practice Patterns for dry eye into answerable clinical research questions about treatment effectiveness. Clinicians around the world who manage patients with dry eye rated each question's importance from 0 (not important) to 10 (very important) using a 2-round online Delphi survey. We considered questions as "important" if ≥75% of respondents assigned a rating of 6 or more in round 2. We mapped the identified important clinical research questions to reliable systematic reviews published up to March 2016. Seventy-five clinicians from at least 21 countries completed both Delphi rounds. Among the 58 questions, 24 met our definition of "important": 9/24 and 7/24 addressed topical and systemic treatments, respectively. All 4 questions with the highest 25th percentiles addressed topical treatments. Although 6/24 "important" questions were associated with 4 existing reliable systematic reviews, none of these reviews came to a definitive conclusion about treatment effectiveness. We identified gaps pertaining to treatment options for dry eye. Future clinical research on the management of dry eye should strongly consider these prioritized questions.

A model to prioritize access to elective surgery on the basis of clinical urgency and waiting time

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Santori Gregorio

2009-01-01

Full Text Available Abstract Background Prioritization of waiting lists for elective surgery represents a major issue in public systems in view of the fact that patients often suffer from consequences of long waiting times. In addition, administrative and standardized data on waiting lists are generally lacking in Italy, where no detailed national reports are available. This is true although since 2002 the National Government has defined implicit Urgency-Related Groups (URGs associated with Maximum Time Before Treatment (MTBT, similar to the Australian classification. The aim of this paper is to propose a model to manage waiting lists and prioritize admissions to elective surgery. Methods In 2001, the Italian Ministry of Health funded the Surgical Waiting List Info System (SWALIS project, with the aim of experimenting solutions for managing elective surgery waiting lists. The project was split into two phases. In the first project phase, ten surgical units in the largest hospital of the Liguria Region were involved in the design of a pre-admission process model. The model was embedded in a Web based software, adopting Italian URGs with minor modifications. The SWALIS pre-admission process was based on the following steps: 1 urgency assessment into URGs; 2 correspondent assignment of a pre-set MTBT; 3 real time prioritization of every referral on the list, according to urgency and waiting time. In the second project phase a prospective descriptive study was performed, when a single general surgery unit was selected as the deployment and test bed, managing all registrations from March 2004 to March 2007 (1809 ordinary and 597 day cases. From August 2005, once the SWALIS model had been modified, waiting lists were monitored and analyzed, measuring the impact of the model by a set of performance indexes (average waiting time, length of the waiting list and Appropriate Performance Index (API. Results The SWALIS pre-admission model was used for all registrations in the

The Identification and Prioritization of Effective Factors in Attracting Health Tourists to Kermanshah Province-West of Iran

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Saeed Khani

2015-08-01

Full Text Available ​Background and objectives : Health tourism has drastically grown during the last decade as a form of specialized tourism. The development of this industry in Iran and Kermanshah requires attention to important factors such as marketing techniques, the performance of organizations and the surrounding environment situation. This study was designed and conducted to identify effective factors in attracting health tourists to Kermanshah Province. Material and Methods : In this descriptive-analytical research, the opinions of 70 major experts involved in health tourism of Kermanshah province were investigated using a researcher-made questionnaire in 2011. Descriptive statistical methods, diagrams, tables and SPSS Version 18 were used to display and analyze the data. Results : Cumulative frequency of responses with “much” and “very much” to the questions related to hypothesis one (the performance of the organizations related to health tourist attraction to the province, hypothesis two (marketing mix with health tourists to the province and hypothesis three (the situation of surrounding environment of the province were 95.%, 98.%, and 94.3 %, respectively. Thus, marketing factors, the performance of related organizations and the surrounding environment situation of the province are respectively the priorities in the prioritization among these three hypotheses. These findings are nearly in a similar line with several recent findings in Iran and the world. Conclusion : The prioritization of the mentioned factors in the hypotheses showed that effort for the development of the factors related to marketing mix should be placed in the highest priority in comparison with the other factors in Kermanshah province.

SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.

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Merelli, Ivan; Calabria, Andrea; Cozzi, Paolo; Viti, Federica; Mosca, Ettore; Milanesi, Luciano

2013-01-01

The capability of correlating specific genotypes with human diseases is a complex issue in spite of all advantages arisen from high-throughput technologies, such as Genome Wide Association Studies (GWAS). New tools for genetic variants interpretation and for Single Nucleotide Polymorphisms (SNPs) prioritization are actually needed. Given a list of the most relevant SNPs statistically associated to a specific pathology as result of a genotype study, a critical issue is the identification of genes that are effectively related to the disease by re-scoring the importance of the identified genetic variations. Vice versa, given a list of genes, it can be of great importance to predict which SNPs can be involved in the onset of a particular disease, in order to focus the research on their effects. We propose a new bioinformatics approach to support biological data mining in the analysis and interpretation of SNPs associated to pathologies. This system can be employed to design custom genotyping chips for disease-oriented studies and to re-score GWAS results. The proposed method relies (1) on the data integration of public resources using a gene-centric database design, (2) on the evaluation of a set of static biomolecular annotations, defined as features, and (3) on the SNP scoring function, which computes SNP scores using parameters and weights set by users. We employed a machine learning classifier to set default feature weights and an ontological annotation layer to enable the enrichment of the input gene set. We implemented our method as a web tool called SNPranker 2.0 (http://www.itb.cnr.it/snpranker), improving our first published release of this system. A user-friendly interface allows the input of a list of genes, SNPs or a biological process, and to customize the features set with relative weights. As result, SNPranker 2.0 returns a list of SNPs, localized within input and ontologically enriched genes, combined with their prioritization scores. Different

Integrating conservation costs into sea level rise adaptive conservation prioritization

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Mingjian Zhu

2015-07-01

Full Text Available Biodiversity conservation requires strategic investment as resources for conservation are often limited. As sea level rises, it is important and necessary to consider both sea level rise and costs in conservation decision making. In this study, we consider costs of conservation in an integrated modeling process that incorporates a geomorphological model (SLAMM, species habitat models, and conservation prioritization (Zonation to identify conservation priorities in the face of landscape dynamics due to sea level rise in the Matanzas River basin of northeast Florida. Compared to conservation priorities that do not consider land costs in the analysis process, conservation priorities that consider costs in the planning process change significantly. The comparison demonstrates that some areas with high conservation values might be identified as lower priorities when integrating economic costs in the planning process and some areas with low conservation values might be identified as high priorities when considering costs in the planning process. This research could help coastal resources managers make informed decisions about where and how to allocate conservation resources more wisely to facilitate biodiversity adaptation to sea level rise.

Toxicological risk assessment and prioritization of drinking water relevant contaminants of emerging concern.

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Baken, Kirsten A; Sjerps, Rosa M A; Schriks, Merijn; van Wezel, Annemarie P

2018-06-13

Toxicological risk assessment of contaminants of emerging concern (CEC) in (sources of) drinking water is required to identify potential health risks and prioritize chemicals for abatement or monitoring. In such assessments, concentrations of chemicals in drinking water or sources are compared to either (i) health-based (statutory) drinking water guideline values, (ii) provisional guideline values based on recent toxicity data in absence of drinking water guidelines, or (iii) generic drinking water target values in absence of toxicity data. Here, we performed a toxicological risk assessment for 163 CEC that were selected as relevant for drinking water. This relevance was based on their presence in drinking water and/or groundwater and surface water sources in downstream parts of the Rhine and Meuse, in combination with concentration levels and physicochemical properties. Statutory and provisional drinking water guideline values could be derived from publically available toxicological information for 142 of the CEC. Based on measured concentrations it was concluded that the majority of substances do not occur in concentrations which individually pose an appreciable human health risk. A health concern could however not be excluded for vinylchloride, trichloroethene, bromodichloromethane, aniline, phenol, 2-chlorobenzenamine, mevinphos, 1,4-dioxane, and nitrolotriacetic acid. For part of the selected substances, toxicological risk assessment for drinking water could not be performed since either toxicity data (hazard) or drinking water concentrations (exposure) were lacking. In absence of toxicity data, the Threshold of Toxicological Concern (TTC) approach can be applied for screening level risk assessment. The toxicological information on the selected substances was used to evaluate whether drinking water target values based on existing TTC levels are sufficiently protective for drinking water relevant CEC. Generic drinking water target levels of 37 μg/L for

Determining procedures for simulation-based training in radiology: a nationwide needs assessment.

Science.gov (United States)

Nayahangan, Leizl Joy; Nielsen, Kristina Rue; Albrecht-Beste, Elisabeth; Bachmann Nielsen, Michael; Paltved, Charlotte; Lindorff-Larsen, Karen Gilboe; Nielsen, Bjørn Ulrik; Konge, Lars

2018-01-09

New training modalities such as simulation are widely accepted in radiology; however, development of effective simulation-based training programs is challenging. They are often unstructured and based on convenience or coincidence. The study objective was to perform a nationwide needs assessment to identify and prioritize technical procedures that should be included in a simulation-based curriculum. A needs assessment using the Delphi method was completed among 91 key leaders in radiology. Round 1 identified technical procedures that radiologists should learn. Round 2 explored frequency of procedure, number of radiologists performing the procedure, risk and/or discomfort for patients, and feasibility for simulation. Round 3 was elimination and prioritization of procedures. Response rates were 67 %, 70 % and 66 %, respectively. In Round 1, 22 technical procedures were included. Round 2 resulted in pre-prioritization of procedures. In round 3, 13 procedures were included in the final prioritized list. The three highly prioritized procedures were ultrasound-guided (US) histological biopsy and fine-needle aspiration, US-guided needle puncture and catheter drainage, and basic abdominal ultrasound. A needs assessment identified and prioritized 13 technical procedures to include in a simulation-based curriculum. The list may be used as guide for development of training programs. • Simulation-based training can supplement training on patients in radiology. • Development of simulation-based training should follow a structured approach. • The CAMES Needs Assessment Formula explores needs for simulation training. • A national Delphi study identified and prioritized procedures suitable for simulation training. • The prioritized list serves as guide for development of courses in radiology.

Gene prioritization for livestock diseases by data integration

DEFF Research Database (Denmark)

Jiang, Li; Sørensen, Peter; Thomsen, Bo Stjerne

2012-01-01

in bovine mastitis. Gene-associated phenome profile and transcriptome profile in response to Escherichia coli infection in the mammary gland were integrated to make a global inference of bovine genes involved in mastitis. The top ranked genes were highly enriched for pathways and biological processes...... underlying inflammation and immune responses, which supports the validity of our approach for identifying genes that are relevant to animal health and disease. These gene-associated phenotypes were used for a local prioritization of candidate genes located in a QTL affecting the susceptibility to mastitis...

An Investigation of Prioritizing Research Topics in Professional Communication

National Research Council Canada - National Science Library

Buschagen, Richard

1997-01-01

.... This effort was intended to address possible causes of this problem by establishing the importance of nine research topic areas, six data collection methods/sources, and three data analysis methods...

Citizen participation in patient prioritization policy decisions: an empirical and experimental study on patients' characteristics.

Directory of Open Access Journals (Sweden)

Adele Diederich

Full Text Available Health systems worldwide are grappling with the need to control costs to maintain system viability. With the combination of worsening economic conditions, an aging population and reductions in tax revenues, the pressures to make structural changes are expected to continue growing. Common cost control mechanisms, e.g. curtailment of patient access and treatment prioritization, are likely to be adversely viewed by citizens. It seems therefore wise to include them in the decision making processes that lead up to policy changes. In the context of a multilevel iterative mixed-method design a quantitative survey representative of the German population (N = 2031 was conducted to probe the acceptance of priority setting in medicine and to explore the practicability of direct public involvement. Here we focus on preferences for patients' characteristics (medical aspects, lifestyle and socio-economic status as possible criteria for prioritizing medical services. A questionnaire with closed response options was fielded to gain insight into attitudes toward broad prioritization criteria of patient groups. Furthermore, a discrete choice experiment was used as a rigorous approach to investigate citizens' preferences toward specific criteria level in context of other criteria. Both the questionnaire and the discrete choice experiment were performed with the same sample. The citizens' own health and social situation are included as explanatory variables. Data were evaluated using corresponding analysis, contingency analysis, logistic regression and a multinomial exploded logit model. The results show that some medical criteria are highly accepted for prioritizing patients whereas socio-economic criteria are rejected.

A Decision Analytic Approach to Exposure-Based Chemical ...

Science.gov (United States)

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. The National Exposure Research Laboratory′s (NERL′s) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in suppor