Expanding the Reach of Participatory Risk Management: Testing an Online Decision-Aiding Framework for Informing Internally Consistent Choices.

PubMed

Bessette, Douglas L; Campbell-Arvai, Victoria; Arvai, Joseph

2016-05-01

This article presents research aimed at developing and testing an online, multistakeholder decision-aiding framework for informing multiattribute risk management choices associated with energy development and climate change. The framework was designed to provide necessary background information and facilitate internally consistent choices, or choices that are in line with users' prioritized objectives. In order to test different components of the decision-aiding framework, a six-part, 2 × 2 × 2 factorial experiment was conducted, yielding eight treatment scenarios. The three factors included: (1) whether or not users could construct their own alternatives; (2) the level of detail regarding the composition of alternatives users would evaluate; and (3) the way in which a final choice between users' own constructed (or highest-ranked) portfolio and an internally consistent portfolio was presented. Participants' self-reports revealed the framework was easy to use and providing an opportunity to develop one's own risk-management alternatives (Factor 1) led to the highest knowledge gains. Empirical measures showed the internal consistency of users' decisions across all treatments to be lower than expected and confirmed that providing information about alternatives' composition (Factor 2) resulted in the least internally consistent choices. At the same time, those users who did not develop their own alternatives and were not shown detailed information about the composition of alternatives believed their choices to be the most internally consistent. These results raise concerns about how the amount of information provided and the ability to construct alternatives may inversely affect users' real and perceived internal consistency. © 2015 Society for Risk Analysis.

Decision support for risk prioritisation of environmental health hazards in a UK city.

PubMed

Woods, Mae; Crabbe, Helen; Close, Rebecca; Studden, Mike; Milojevic, Ai; Leonardi, Giovanni; Fletcher, Tony; Chalabi, Zaid

2016-03-08

There is increasing appreciation of the proportion of the health burden that is attributed to modifiable population exposure to environmental health hazards. To manage this avoidable burden in the United Kingdom (UK), government policies and interventions are implemented. In practice, this procedure is interdisciplinary in action and multi-dimensional in context. Here, we demonstrate how Multi Criteria Decision Analysis (MCDA) can be used as a decision support tool to facilitate priority setting for environmental public health interventions within local authorities. We combine modelling and expert elicitation to gather evidence on the impacts and ranking of interventions. To present the methodology, we consider a hypothetical scenario in a UK city. We use MCDA to evaluate and compare the impact of interventions to reduce the health burden associated with four environmental health hazards and rank them in terms of their overall performance across several criteria. For illustrative purposes, we focus on heavy goods vehicle controls to reduce outdoor air pollution, remediation to control levels of indoor radon, carbon monoxide and fitting alarms, and encouraging cycling to target the obesogenic environment. Regional data was included as model evidence to construct a ratings matrix for the city. When MCDA is performed with uniform weights, the intervention of heavy goods vehicle controls to reduce outdoor air pollution is ranked the highest. Cycling and the obesogenic environment is ranked second. We argue that a MCDA based approach provides a framework to guide environmental public health decision makers. This is demonstrated through an online interactive MCDA tool. We conclude that MCDA is a transparent tool that can be used to compare the impact of alternative interventions on a set of pre-defined criteria. In our illustrative example, we ranked the best intervention across the equally weighted selected criteria out of the four alternatives. Further work is needed to test the tool with decision makers and stakeholders.

Cross-Cultural Faculty Values.

ERIC Educational Resources Information Center

Keim, Marybelle C.

1992-01-01

Compares the terminal values of 24 visiting scholars from the People's Republic of China based at a midwestern community college with resident faculty values. The Chinese scholars ranked freedom, equality, and self-respect highest, whereas U.S. schools gave highest rankings to salvation, family security, and self-respect. Contrasts findings with a…

38 CFR 61.54 - Awarding technical assistance grants.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) Applicants will first be grouped in categories according to the funding priorities set forth in the NOFA, if... highest-ranked applications for which funding is available, within highest priority funding category if... ranked order, as determined under § 61.53 of this part. If funding priorities have been established and...

38 CFR 61.14 - Selecting applications for capital grants.

Code of Federal Regulations, 2010 CFR

2010-07-01

... capital grants. (a) Applicants will first be grouped in categories according to the funding priorities set... applicable. The highest-ranked applications for which funding is available, within highest priority funding... ranked order, as determined under § 61.13 of this part. If funding priorities have been established and...

Selecting Pesticides and Nonchemical Alternatives: Green Thumbs' Rules of Thumb Decision Tools.

ERIC Educational Resources Information Center

Grieshop, James I.; And Others

1992-01-01

A sample of 78 (of 320) home gardeners use rules of thumb (heuristics) to choose between chemical pesticides and nonchemical alternatives. Pesticides rank low in 24 choice attributes where alternatives rank high, and vice versa. Gender, age, and years of pesticide use correlate with pesticide selection. (SK)

Spatial variability in nutrient transport by HUC8, state, and subbasin based on Mississippi/Atchafalaya River Basin SPARROW models

USGS Publications Warehouse

Robertson, Dale M.; Saad, David A.; Schwarz, Gregory E.

2014-01-01

Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. With geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and monitored loads throughout the MARB, SPAtially Referenced Regression On Watershed attributes (SPARROW) watershed models were constructed specifically for the MARB, which reduced simulation errors from previous models. Based on these models, N loads/yields were highest from the central part (centered over Iowa and Indiana) of the MARB (Corn Belt), and the highest P yields were scattered throughout the MARB. Spatial differences in yields from previous studies resulted from different descriptions of the dominant sources (N yields are highest with crop-oriented agriculture and P yields are highest with crop and animal agriculture and major WWTPs) and different descriptions of downstream transport. Delivered loads/yields from the MARB SPARROW models are used to rank subbasins, states, and eight-digit Hydrologic Unit Code basins (HUC8s) by N and P contributions and then rankings are compared with those from other studies. Changes in delivered yields result in an average absolute change of 1.3 (N) and 1.9 (P) places in state ranking and 41 (N) and 69 (P) places in HUC8 ranking from those made with previous national-scale SPARROW models. This information may help managers decide where efforts could have the largest effects (highest ranked areas) and thus reduce hypoxia in the Gulf of Mexico.

Application of Ethnobotanical Indices on the Use of Traditional Medicines against Common Diseases.

PubMed

Khan, Imran; AbdElsalam, Naser M; Fouad, Hassan; Tariq, Akash; Ullah, Riaz; Adnan, Muhammad

2014-01-01

The present study was aimed at documenting the detailed ethnomedicinal knowledge of an unexplored area of Pakistan. Semistructured interviews were taken with 55 informants randomly chosen regarding detailed ethnomedicinal and sociocultural information. The study exposed 67 medicinal plant species used to prepare 110 recipes and the major modes of herbal formulation were decoction and powdering (20% each). The disease categories with the highest Fic values were gastrointestinal and dermatological (0.87 each). The study determined 3 plant species, i.e., Acacia modesta Wall., Caralluma tuberculata R.Br., and Withania somnifera (L.) Dunal with a FL of 100%. DMR results showed that Olea ferruginea (Sol.) Steud. ranked first, Morus alba L. ranked second, and Melia azedarach L. ranked third. Among the 55 informants, the male concentration was high (61%) and most of them were over 40 years old while a leading quantity of respondents (45%) was uneducated. There is a dire need to take necessary steps for the conservation of important medicinal plants by inhibiting overgrazing and providing alternate fuel resources. Young generations should be educated regarding the importance of ethnomedicinal knowledge and plants with high Fic and FL values should be further checked chemically and pharmacologically for future exploration of modern medicine.

The effect of uncertainties in distance-based ranking methods for multi-criteria decision making

NASA Astrophysics Data System (ADS)

Jaini, Nor I.; Utyuzhnikov, Sergei V.

2017-08-01

Data in the multi-criteria decision making are often imprecise and changeable. Therefore, it is important to carry out sensitivity analysis test for the multi-criteria decision making problem. The paper aims to present a sensitivity analysis for some ranking techniques based on the distance measures in multi-criteria decision making. Two types of uncertainties are considered for the sensitivity analysis test. The first uncertainty is related to the input data, while the second uncertainty is towards the Decision Maker preferences (weights). The ranking techniques considered in this study are TOPSIS, the relative distance and trade-off ranking methods. TOPSIS and the relative distance method measure a distance from an alternative to the ideal and antiideal solutions. In turn, the trade-off ranking calculates a distance of an alternative to the extreme solutions and other alternatives. Several test cases are considered to study the performance of each ranking technique in both types of uncertainties.

Reliability of Pressure Ulcer Rates: How Precisely Can We Differentiate Among Hospital Units, and Does the Standard Signal-Noise Reliability Measure Reflect This Precision?

PubMed

Staggs, Vincent S; Cramer, Emily

2016-08-01

Hospital performance reports often include rankings of unit pressure ulcer rates. Differentiating among units on the basis of quality requires reliable measurement. Our objectives were to describe and apply methods for assessing reliability of hospital-acquired pressure ulcer rates and evaluate a standard signal-noise reliability measure as an indicator of precision of differentiation among units. Quarterly pressure ulcer data from 8,199 critical care, step-down, medical, surgical, and medical-surgical nursing units from 1,299 US hospitals were analyzed. Using beta-binomial models, we estimated between-unit variability (signal) and within-unit variability (noise) in annual unit pressure ulcer rates. Signal-noise reliability was computed as the ratio of between-unit variability to the total of between- and within-unit variability. To assess precision of differentiation among units based on ranked pressure ulcer rates, we simulated data to estimate the probabilities of a unit's observed pressure ulcer rate rank in a given sample falling within five and ten percentiles of its true rank, and the probabilities of units with ulcer rates in the highest quartile and highest decile being identified as such. We assessed the signal-noise measure as an indicator of differentiation precision by computing its correlations with these probabilities. Pressure ulcer rates based on a single year of quarterly or weekly prevalence surveys were too susceptible to noise to allow for precise differentiation among units, and signal-noise reliability was a poor indicator of precision of differentiation. To ensure precise differentiation on the basis of true differences, alternative methods of assessing reliability should be applied to measures purported to differentiate among providers or units based on quality. © 2016 The Authors. Research in Nursing & Health published by Wiley Periodicals, Inc. © 2016 The Authors. Research in Nursing & Health published by Wiley Periodicals, Inc.

Efficacy of Laparoscopic Nissen Fundoplication vs Transoral Incisionless Fundoplication or Proton Pump Inhibitors in Patients With Gastroesophageal Reflux Disease: A Systematic Review and Network Meta-analysis.

PubMed

Richter, Joel E; Kumar, Ambuj; Lipka, Seth; Miladinovic, Branko; Velanovich, Vic

2018-04-01

The effects of transoral incisionless fundoplication (TIF) and laparoscopic Nissen fundoplication (LNF) have been compared with those of proton pump inhibitors (PPIs) or a sham procedure in patients with gastroesophageal reflux disease (GERD), but there has been no direct comparison of TIF vs LNF. We performed a systematic review and network meta-analysis of randomized controlled trials to compare the relative efficacies of TIF vs LNF in patients with GERD. We searched publication databases and conference abstracts through May 10, 2017 for randomized controlled trials that compared the efficacy of TIF or LNF with that of a sham procedure or PPIs in patients with GERD. We performed a network meta-analysis using Bayesian methods under random-effects multiple treatment comparisons. We assessed ranking probability by surface under the cumulative ranking curve. Our search identified 7 trials comprising 1128 patients. Surface under the cumulative ranking curve ranking indicated TIF had highest probability of increasing patients' health-related quality of life (0.96), followed by LNF (0.66), a sham procedure (0.35), and PPIs (0.042). LNF had the highest probability of increasing percent time at pH <4 (0.99), followed by PPIs (0.64), TIF (0.32), and the sham procedure (0.05). LNF also had the highest probability of increasing LES pressure (0.78), followed by TIF (0.72) and PPIs (0.01). Patients who underwent the sham procedure had the highest probability for persistent esophagitis (0.74), followed by those receiving TIF (0.69), LNF (0.38), and PPIs (0.19). Meta-regression showed a shorter follow-up time as a significant confounder for the outcome of health-related quality of life in studies of TIF. In a systematic review and network meta-analysis of trials of patients with GERD, we found LNF to have the greatest ability to improve physiologic parameters of GERD, including increased LES pressure and decreased percent time pH <4. Although TIF produced the largest increase in health-related quality of life, this could be due to the shorter follow-up time of patients treated with TIF vs LNF or PPIs. TIF is a minimally invasive endoscopic procedure, yet based on evaluation of benefits vs risks, we do not recommend it as a long-term alternative to PPI or LNF treatment of GERD. Copyright © 2018 AGA Institute. Published by Elsevier Inc. All rights reserved.

Why do some countries publish more than others? An international comparison of research funding, English proficiency and publication output in highly ranked general medical journals.

PubMed

Man, Jonathan P; Weinkauf, Justin G; Tsang, Monica; Sin, Don D

2004-01-01

National factor(s) influencing publication output in the highest ranked medical journals are largely unknown. We sought to examine the relationship between national research funding and English proficiency on publication output. We identified all original research articles appearing in the five highest ranked general medical journals between 1997 and 2001. Using the country of the corresponding author as the source nation for each article, we determined a standardized publication rate across developed nations. We used multiple regression techniques to determine the influence of national expenditures on research and scores from the Test of English as a Foreign Language (TOEFL), a surrogate for English proficiency, on publication output. There was a significant relationship of national spending on research and TOEFL scores to publication output of developed countries (p = 0.04; p < 0.01, respectively). These two variables explained approximately 71.5% of the variation in publication rate across developed nations around the world (R = 0.85; p < 0.01). Normalized for population size, English-speaking nations and certain northern European countries such as Denmark, The Netherlands, Switzerland, and Sweden had the highest rate of publication in the five highest ranked general medical journals, while Asian countries had generally low rates of publication. Research spending and English proficiency were strongly associated with publication output in the highest ranked general medical journals. While these data cannot be considered definitive due to their observational nature, they do suggest that for English-language medical journals, research funding and English proficiency may be important determinants of publication.

Getting to the top: an analysis of 25 years of career rankings trajectories for professional women's tennis.

PubMed

Kovalchik, Stephanie A; Bane, Michael K; Reid, Machar

2017-10-01

Official rankings are the most common measure of success in professional women's tennis. Despite their importance for earning potential and tournament seeding, little is known about ranking trajectories of female players and their influence on career success. Our objective was to conduct a comprehensive study of the career progression of elite female tennis talent. The study examined the ranking trajectories of the top 250 female professionals between 1990 and 2015. Using regression modelling of yearly peak rankings, we found a strong association between the shape of the ranking trajectory and the highest career ranking earned. Players with the highest career peak ranking were the youngest when first ranked. For example, top 10 players were first ranked at age 15.5 years (99% CI = 14.8-15.9), 1.2 years (99% CI = 0.8-1.5) earlier than top 51-100 players. Top 10 players were also ranked in the top 100 longer than other players, holding a top 100 ranking until a mean age of 29.0 years (99% CI = 27.8-30.3) compared with age 24.4 years (99% CI = 23.7-25.2) for top 51-100 players. Ranking trajectories were more distinct with respect to player age than years from first ranking. The present study's findings will be instructive for players, coaches, and administrators in setting goals and assessing athlete development in women's tennis.

7 CFR 1709.121 - Administrator's review and selection of grant awards.

Code of Federal Regulations, 2010 CFR

2010-01-01

... finalists for grant awards after consideration of the applications, the rankings, comments, and... application materials, ranking panel ratings, comments, and recommendations, and other pertinent information... award to the next highest ranking project. (c) The projects selected by the Administrator will be funded...

Social Status Ranking of Occupations in the People's Republic of China, Taiwan, and the United States.

ERIC Educational Resources Information Center

Fredrickson, Ronald H.; And Others

1992-01-01

College students (n=1,039) in the People's Republic of China, Taiwan, and the United States ranked 24 occupations according to social status. There was more agreement than disagreement in the rankings, although exceptions were noted and explained by local conditions. Two occupations consistently ranked in highest group were physician and lawyer,…

Hazard-Ranking of Agricultural Pesticides for Chronic Health Effects in Yuma County, Arizona

PubMed Central

Sugeng, Anastasia J.; Beamer, Paloma I.; Lutz, Eric A.; Rosales, Cecilia B.

2013-01-01

With thousands of pesticides registered by the United States Environmental Protection Agency, it not feasible to sample for all pesticides applied in agricultural communities. Hazard-ranking pesticides based on use, toxicity, and exposure potential can help prioritize community-specific pesticide hazards. This study applied hazard-ranking schemes for cancer, endocrine disruption, and reproductive/developmental toxicity in Yuma County, Arizona. An existing cancer hazard-ranking scheme was modified, and novel schemes for endocrine disruption and reproductive/developmental toxicity were developed to rank pesticide hazards. The hazard-ranking schemes accounted for pesticide use, toxicity, and exposure potential based on chemical properties of each pesticide. Pesticides were ranked as hazards with respect to each health effect, as well as overall chronic health effects. The highest hazard-ranked pesticides for overall chronic health effects were maneb, metam sodium, trifluralin, pronamide, and bifenthrin. The relative pesticide rankings were unique for each health effect. The highest hazard-ranked pesticides differed from those most heavily applied, as well as from those previously detected in Yuma homes over a decade ago. The most hazardous pesticides for cancer in Yuma County, Arizona were also different from a previous hazard-ranking applied in California. Hazard-ranking schemes that take into account pesticide use, toxicity, and exposure potential can help prioritize pesticides of greatest health risk in agricultural communities. This study is the first to provide pesticide hazard-rankings for endocrine disruption and reproductive/developmental toxicity based on use, toxicity, and exposure potential. These hazard-ranking schemes can be applied to other agricultural communities for prioritizing community-specific pesticide hazards to target decreasing health risk. PMID:23783270

A Comparison of Nationally Ranked High Schools and Their Music Curricula

ERIC Educational Resources Information Center

Kelly, Steven N.; Heath, Julia D.

2015-01-01

This study compared selected musical, educational, and social characteristics of high schools ranked highest in "Newsweek" and "U.S. News & World Report." Questions addressed were (a) How are the top-ranked schools similar or different in educational, musical, and social characteristics? (b) What music courses are offered…

Implementation of preference ranking organization method for enrichment evaluation (Promethee) on selection system of student’s achievement

NASA Astrophysics Data System (ADS)

Karlitasari, L.; Suhartini, D.; Nurrosikawati, L.

2018-03-01

Selection of Student Achievement is conducted every year, starting from the level of Study Program, Faculty, to University, which then rank one will be sent to Kopertis level. The criteria made for the selection are Academic and Rich Scientific, Organizational, Personality, and English. In order for the selection of Student Achievement is Objective, then in addition to the presence of the jury is expected to use methods that support the decision to be more optimal in determining the Student Achievement. One method used is the Promethee Method. Preference Ranking Organization Method for Enrichment Evaluation (Promethee) is a method of ranking in Multi Criteria Decision Making (MCDM). PROMETHEE has the advantage that there is a preference type against the criteria that can take into account alternatives with other alternatives on the same criteria. The conjecture of alternate dominance over a criterion used in PROMETHEE is the use of values in the relationships between alternative ranking values. Based on the calculation result, from 7 applicants between Manual and Promethee Matrices, rank 1, 2, and 3, did not change, only 4 to 7 positions were changed. However, after the sensitivity test, almost all criteria experience a high level of sensitivity. Although it does not affect the students who will be sent to the next level, but can bring psychological impact on prospective student’s achievement

Flood control project selection using an interval type-2 entropy weight with interval type-2 fuzzy TOPSIS

NASA Astrophysics Data System (ADS)

Zamri, Nurnadiah; Abdullah, Lazim

2014-06-01

Flood control project is a complex issue which takes economic, social, environment and technical attributes into account. Selection of the best flood control project requires the consideration of conflicting quantitative and qualitative evaluation criteria. When decision-makers' judgment are under uncertainty, it is relatively difficult for them to provide exact numerical values. The interval type-2 fuzzy set (IT2FS) is a strong tool which can deal with the uncertainty case of subjective, incomplete, and vague information. Besides, it helps to solve for some situations where the information about criteria weights for alternatives is completely unknown. Therefore, this paper is adopted the information interval type-2 entropy concept into the weighting process of interval type-2 fuzzy TOPSIS. This entropy weight is believed can effectively balance the influence of uncertainty factors in evaluating attribute. Then, a modified ranking value is proposed in line with the interval type-2 entropy weight. Quantitative and qualitative factors that normally linked with flood control project are considered for ranking. Data in form of interval type-2 linguistic variables were collected from three authorised personnel of three Malaysian Government agencies. Study is considered for the whole of Malaysia. From the analysis, it shows that diversion scheme yielded the highest closeness coefficient at 0.4807. A ranking can be drawn using the magnitude of closeness coefficient. It was indicated that the diversion scheme recorded the first rank among five causes.

UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting

DTIC Science & Technology

2014-11-01

for 6 months. Median performance for this topic was relatively low, despite being an easy diagnosis of hypothyroidism for a medical expert. However... hypothyroidism was ranked 3rd in the retrieval results. Without boosting, the highest-ranked article on hypothyroidism was ranked 16th. In contrast, this

Obsession with Rankings Goes Global

ERIC Educational Resources Information Center

Labi, Aisha

2008-01-01

A Chinese list of the world's top universities would seem an unlikely concern for French politicians. But this year, France's legislature took aim at the annual rankings produced by Shanghai Jiao Tong University, which claims to list the 500 best universities in the world. The highest-ranked French entry, Universite Pierre et Marie Curie, comes in…

Hazard-ranking of agricultural pesticides for chronic health effects in Yuma County, Arizona.

PubMed

Sugeng, Anastasia J; Beamer, Paloma I; Lutz, Eric A; Rosales, Cecilia B

2013-10-01

With thousands of pesticides registered by the United States Environmental Protection Agency, it not feasible to sample for all pesticides applied in agricultural communities. Hazard-ranking pesticides based on use, toxicity, and exposure potential can help prioritize community-specific pesticide hazards. This study applied hazard-ranking schemes for cancer, endocrine disruption, and reproductive/developmental toxicity in Yuma County, Arizona. An existing cancer hazard-ranking scheme was modified, and novel schemes for endocrine disruption and reproductive/developmental toxicity were developed to rank pesticide hazards. The hazard-ranking schemes accounted for pesticide use, toxicity, and exposure potential based on chemical properties of each pesticide. Pesticides were ranked as hazards with respect to each health effect, as well as overall chronic health effects. The highest hazard-ranked pesticides for overall chronic health effects were maneb, metam-sodium, trifluralin, pronamide, and bifenthrin. The relative pesticide rankings were unique for each health effect. The highest hazard-ranked pesticides differed from those most heavily applied, as well as from those previously detected in Yuma homes over a decade ago. The most hazardous pesticides for cancer in Yuma County, Arizona were also different from a previous hazard-ranking applied in California. Hazard-ranking schemes that take into account pesticide use, toxicity, and exposure potential can help prioritize pesticides of greatest health risk in agricultural communities. This study is the first to provide pesticide hazard-rankings for endocrine disruption and reproductive/developmental toxicity based on use, toxicity, and exposure potential. These hazard-ranking schemes can be applied to other agricultural communities for prioritizing community-specific pesticide hazards to target decreasing health risk. Copyright © 2013 Elsevier B.V. All rights reserved.

Comparison of scholarly impact among surgical specialties: an examination of 2429 academic surgeons.

PubMed

Svider, Peter F; Pashkova, Anna A; Choudhry, Zaid; Agarwal, Nitin; Kovalerchik, Olga; Baredes, Soly; Liu, James K; Eloy, Jean Anderson

2013-04-01

The h-index, a bibliometric indicator that objectively characterizes the impact of an author's scholarship, is an effective tool that may be considered by academic departments for decisions related to hiring and faculty advancement. Our objective was to characterize the scholarly productivity of academic surgeons from different specialties relative to otolaryngologists. Analysis of a bibliometric database. The h-indices of 2,429 faculty members within surgical specialties at 20 randomly selected academic institutions were calculated using the Scopus database and were examined to determine relationship with academic rank and comparison among surgical subspecialties. The h-index statistically increased with academic rank. Mean h-indices were as follows: assistant professor, 4.37 (range, 2.73-6.69); associate professor, 8.70 (6.53-11.02); professor, 16.44 (13.39-20.45); and chairperson, 20.79 (14.81-27.89). Mean increase between academic rank was 5.47, with the largest increase between the levels of associate professor and professor. Further examination demonstrated statistically significant increases through all academic ranks for most, but not all, individual specialties. Urologists, general surgeons, and neurosurgeons had the highest mean h-indices. h-indices among the different surgical specialties vary and are potentially impacted by the number of practitioners as well as research emphasis within a field. The mean h-index of academic otolaryngologists falls in the lower values for academic surgeons. Because this metric varies among different fields, it is most relevant for comparison when examining values within a field. H-indices reliably increase with increasing academic rank through professor and offer a quantifiable and objective alternative to other metrics when evaluating faculty members for academic advancement. Copyright © 2013 The American Laryngological, Rhinological, and Otological Society, Inc.

A new Weyl-like tensor of geometric origin

NASA Astrophysics Data System (ADS)

Vishwakarma, Ram Gopal

2018-04-01

A set of new tensors of purely geometric origin have been investigated, which form a hierarchy. A tensor of a lower rank plays the role of the potential for the tensor of one rank higher. The tensors have interesting mathematical and physical properties. The highest rank tensor of the hierarchy possesses all the geometrical properties of the Weyl tensor.

Preventing the Wernicke-Korsakoff syndrome in Australia: cost-effectiveness of thiamin-supplementation alternatives.

PubMed

Connelly, L; Price, J

1996-04-01

Alcoholic Wernicke's encephalopathy has been commonplace in Australia for many years and, as this syndrome is attributed to a deficiency in the diet, it should be preventable. This study employs conventional cost-effectiveness methodology to compare the economic efficiency of several thiamin-supplementation alternatives that have been proposed for the prevention of Wernicke's encephalopathy. A series of rankings of these measures is derived from an estimated cost per case averted for each of the alternatives studied. These rankings identify the least cost-effective thiamin-supplementation alternative as that of enriching bread-making flour with thiamin.

SIMRAND I- SIMULATION OF RESEARCH AND DEVELOPMENT PROJECTS

NASA Technical Reports Server (NTRS)

Miles, R. F.

1994-01-01

The Simulation of Research and Development Projects program (SIMRAND) aids in the optimal allocation of R&D resources needed to achieve project goals. SIMRAND models the system subsets or project tasks as various network paths to a final goal. Each path is described in terms of task variables such as cost per hour, cost per unit, availability of resources, etc. Uncertainty is incorporated by treating task variables as probabilistic random variables. SIMRAND calculates the measure of preference for each alternative network. The networks yielding the highest utility function (or certainty equivalence) are then ranked as the optimal network paths. SIMRAND has been used in several economic potential studies at NASA's Jet Propulsion Laboratory involving solar dish power systems and photovoltaic array construction. However, any project having tasks which can be reduced to equations and related by measures of preference can be modeled. SIMRAND analysis consists of three phases: reduction, simulation, and evaluation. In the reduction phase, analytical techniques from probability theory and simulation techniques are used to reduce the complexity of the alternative networks. In the simulation phase, a Monte Carlo simulation is used to derive statistics on the variables of interest for each alternative network path. In the evaluation phase, the simulation statistics are compared and the networks are ranked in preference by a selected decision rule. The user must supply project subsystems in terms of equations based on variables (for example, parallel and series assembly line tasks in terms of number of items, cost factors, time limits, etc). The associated cumulative distribution functions and utility functions for each variable must also be provided (allowable upper and lower limits, group decision factors, etc). SIMRAND is written in Microsoft FORTRAN 77 for batch execution and has been implemented on an IBM PC series computer operating under DOS.

Occupations, cigarette smoking, and lung cancer in the epidemiological follow-up to the NHANES I and the California Occupational Mortality Study.

PubMed Central

Leigh, J. P.

1996-01-01

What jobs are associated with the highest and lowest levels of cigarette use and of lung cancer? Are there gender differences in these jobs? Two data sets-the Epidemiological Follow-up to the National Health and Nutrition Examination Survey (NHEFS) and the California Occupational Mortality Study (COMS) were analyzed to answer these questions. For females, the broad occupations ranking from highest to lowest cigarette use in the NHEFS was: transportation operators, managers, craft workers, service workers, operatives, laborers, technicians, administrative workers, farm owners and workers, sales workers, no occupation, and professionals. The corresponding ranking for males was: transportation operators, no occupation, laborers, craft workers, service workers, technicians, and professionals. The highest-ranking jobs in the COMS were waitresses, telephone operators, and cosmetologists for women, and water-transportation workers, roofers, foresters and loggers for men. Teachers were especially low on all four lists. This study could not determine whether employment within any occupation encouraged smoking or if smokers selected certain occupations. PMID:8982527

Prototyping a Distributed Information Retrieval System That Uses Statistical Ranking.

ERIC Educational Resources Information Center

Harman, Donna; And Others

1991-01-01

Built using a distributed architecture, this prototype distributed information retrieval system uses statistical ranking techniques to provide better service to the end user. Distributed architecture was shown to be a feasible alternative to centralized or CD-ROM information retrieval, and user testing of the ranking methodology showed both…

A national survey of dental hygiene education administrators: demographics, characteristics, and academic profile.

PubMed

Holt, M P

1998-01-01

The purpose of this study was to develop a comprehensive demographic database of dental hygiene education administrators and to examine their academic professional profile. On April 1, 1996, a survey was mailed to all dental hygiene education administrators in the U.S. The survey requested participants to respond to specific questions regarding demographic characteristics, professional academic profile, and extent of management theory background. The results were analyzed using descriptive statistics, including frequencies and percentages. Cross-tabulations and chi-square tests were calculated for type of institution, type of program, extent of management theory background, highest degree earned, and rank. One hundred thirty-eight valid surveys (63%) were returned. The demographic profile determined the majority of administrators were Caucasian (95.6%), female (87.6%), dental hygienists (87.6%), with a mean age of 47. The highest degree earned was a master's degree (64.5%) with a specialization in education (47.7%). Additionally, 87.5 percent had some form of educational management theory background, and 22.6 percent held the rank of full professor. Professional experience ranged from one to 30 years, with a mean of 10 years. The majority of participants worked in public (95.7%) institutions, primarily community and technical colleges (67.4%) that awarded associate's degrees (72.5%). Cross-tabulations and chi-square tests for type of institution, type of program, extent of management theory background, and rank were calculated. Significance was found between rank and type of institution, type of program, highest degree earned, and gender. Additionally, a relationship was found between gender and highest degree earned. These findings help develop a demographic database and professional academic profile of dental hygiene education administrators that can be used for future research and theory development, trends identification, problem solving, decision making, and policy formation. When compared to past studies, Caucasian females still dominate the profession. Also, dental hygiene faculty/administrators have increased in percentage of earned master's and doctoral degrees, and in advancement of academic rank to full professor. Furthermore, administrators are comparable to other full-time faculty in health-related programs and two-year institutions in regard to academic rank and highest degree earned. Thus, this population reflects individuals who can be considered highly dedicated and educationally prepared for their administrative role. However, compared to faculty across all disciplines in higher education, this population did not reflect advanced professional preparation or academic rank. It is recommended that dental hygiene administrators and faculty continue their scholarly endeavors to help advance the field to full professionalization and build academic legitimacy.

Human Resource Managers Rank Their Pressure Points.

ERIC Educational Resources Information Center

Herring, Jack

1983-01-01

A survey of 700 top-level human resource executives that elicited 309 responses revealed the highest priority ranking of 24 human resource issues to be: productivity improvement, controlling costs of employee benefits, compensation planning and administration, employee communications, upgrading management training development programs,…

Gluteus Minimus and Gluteus Medius Muscle Activity During Common Rehabilitation Exercises in Healthy Postmenopausal Women.

PubMed

Ganderton, Charlotte; Pizzari, Tania; Cook, Jill; Semciw, Adam

2017-12-01

Study Design Controlled laboratory study, cross-sectional. Background The gluteus medius (GMed) and gluteus minimus (GMin) provide dynamic stability of the hip joint and pelvis. These muscles are susceptible to atrophy and injury in individuals during menopause, aging, and disease. Numerous studies have reported on the ability of exercises to elicit high levels of GMed activity; however, few studies have differentiated between the portions of the GMed, and none have examined the GMin. Objectives To quantify and rank the level of muscle activity of the 2 segments of the GMin (anterior and posterior fibers) and 3 segments of the GMed (anterior, middle, and posterior fibers) during 4 isometric and 3 dynamic exercises in a group of healthy, postmenopausal women. Methods Intramuscular electrodes were inserted into each segment of the GMed and GMin in 10 healthy, postmenopausal women. Participants completed 7 gluteal rehabilitation exercises, and average normalized muscle activity was used to rank the exercises from highest to lowest. Results The isometric standing hip hitch with contralateral hip swing was the highest-ranked exercise for all muscle segments except the anterior GMin, where it was ranked second. The highest-ranked dynamic exercise for all muscle segments was the dip test. Conclusion The hip hitch and its variations maximally activate the GMed and GMin muscle segments, and may be useful in hip muscle rehabilitation in postmenopausal women. J Orthop Sports Phys Ther 2017;47(12):914-922. Epub 15 Oct 2017. doi:10.2519/jospt.2017.7229.

Social rank and inhalant drug use: the case of lança perfume use in São Paulo, Brazil.

PubMed

Sanchez, Zila M; Noto, Ana R; Anthony, James C

2013-07-01

Lanca perfume (chloroform/ether) is an inhalant used mainly by higher social class students in Brazil. In light of the social and epidemiological features of lanca use, supply, and distribution, this investigation tests hypotheses about the degree to which use of inhalant lanca might be occurring in clusters, consistent with social sharing and diffusion, and might show a direct association with social rank even within the relatively privileged social context of private schools in a large mega-city of Latin America. Epidemiologic self-report survey data were from a large representative sample of urban post-primary private school students in São Paulo city, Brazil, in 2008. Newly incident lanca use was studied, first with estimates of clustering from the alternating logistic regressions (ALR) and then with conditional logistic regressions to probe into the hypothesized direct social rank association. ALR disclosed a clustering of newly incident lanca users within private school classrooms (pairwise odds ratio (PWOR)=2.1; 95% CI=1.3, 3.3; p=0.002) as well as clusters of recently active lanca use (PWOR=1.9; 95% CI=1.1, 3.3; p=0.02). Occurrence of lanca use within private school classrooms was directly associated with social rank (odds ratio (OR)=0.2; 95% CI=0.1, 0.8; p=0.03 in the contrast of lowest socio-economic status (SES) versus highest SES strata within classrooms). Thereafter, study of other drugs disclosed similar patterns. The clustering estimates are consistent with concepts of person-to-person sharing of lanca within private school classrooms as well as other dynamic processes that might promote lanca clusters in this context. An observed direct association with social rank is not specific to lanca use. Direct SES estimates across a broad profile of drug compounds suggests causal processes over and above the more specific initially hypothesized social rank gradients in the lanca diffusion process. A novel facet of the evidence is greater occurrence of drug use among the higher social rank private school students, which should be of interest in the social science community. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Social Rank and Inhalant Drug Use: The Case of Lança Perfume Use in São Paulo, Brazil*

PubMed Central

Sanchez, Zila M.; Noto, Ana R.; Anthony, James C.

2016-01-01

Background Lanca perfume (chloroform/ether) is an inhalant used mainly by higher social class students in Brazil. In light of the social and epidemiological features of lanca use, supply, and distribution, this investigation tests hypotheses about the degree to which use of inhalant lanca might be occurring in clusters, consistent with social sharing and diffusion, and might show a direct association with social rank even within the relatively privileged social context of private schools in a large mega-city of Latin America. Methods Epidemiologic self-report survey data were from a large representative sample of urban post-primary private school students in São Paulo city, Brazil, in 2008. Newly incident lanca use was studied, first with estimates of clustering from the alternating logistic regressions (ALR) and then with conditional logistic regressions to probe into the hypothesized direct social rank association. Results ALR disclosed a clustering of newly incident lanca users within private school classrooms (pairwise odds ratio (PWOR) = 2.1; 95% CI = 1.3, 3.3; p = 0.002) as well as clusters of recently active lanca use (PWOR = 1.9; 95% CI = 1.1, 3.3; p = 0.02). Occurrence of lanca use within private school classrooms was directly associated with social rank (odds ratio (OR) = 0.2; 95% CI=0.1, 0.8; p=0.03 in the contrast of lowest socio-economic status (SES) versus highest SES strata within classrooms). Thereafter, study of other drugs disclosed similar patterns. Conclusions The clustering estimates are consistent with concepts of person-to-person sharing of lanca within private school classrooms as well as other dynamic processes that might promote lanca clusters in this context. An observed direct association with social rank is not specific to lanca use. Direct SES estimates across a broad profile of drug compounds suggests causal processes over and above the more specific initially hypothesized social rank gradients in the lanca diffusion process. A novel facet of the evidence is greater occurrence of drug use among the higher social rank private school students, which should be of interest in the social science community. PMID:23279923

Ranking Schools' Academic Performance Using a Fuzzy VIKOR

NASA Astrophysics Data System (ADS)

Musani, Suhaina; Aziz Jemain, Abdul

2015-06-01

Determination rank is structuring alternatives in order of priority. It is based on the criteria determined for each alternative involved. Evaluation criteria are performed and then a composite index composed of each alternative for the purpose of arranging in order of preference alternatives. This practice is known as multiple criteria decision making (MCDM). There are several common approaches to MCDM, one of the practice is known as VIKOR (Multi-criteria Optimization and Compromise Solution). The objective of this study is to develop a rational method for school ranking based on linguistic information of a criterion. The school represents an alternative, while the results for a number of subjects as the criterion. The results of the examination for a course, is given according to the student percentage of each grade. Five grades of excellence, honours, average, pass and fail is used to indicate a level of achievement in linguistics. Linguistic variables are transformed to fuzzy numbers to form a composite index of school performance. Results showed that fuzzy set theory can solve the limitations of using MCDM when there is uncertainty problems exist in the data.

Evaluation of sites for the location of WEEE recycling plants in Spain.

PubMed

Queiruga, Dolores; Walther, Grit; González-Benito, Javier; Spengler, Thomas

2008-01-01

As a consequence of new European legal regulations for treatment of waste electrical and electronic equipment (WEEE), recycling plants have to be installed in Spain. In this context, this contribution describes a method for ranking of Spanish municipalities according to their appropriateness for the installation of these plants. In order to rank the alternatives, the discrete multi-criteria decision method PROMETHEE (Preference Ranking Organisation METHod for Enrichment Evaluations), combined with a surveys of experts, is applied. As existing plants are located in North and East Spain, a significant concentration of top ranking municipalities can be observed in South and Central Spain. The method does not present an optimal structure of the future recycling system, but provides a selection of good alternatives for potential locations of recycling plants.

Signal detection on spontaneous reports of adverse events following immunisation: a comparison of the performance of a disproportionality-based algorithm and a time-to-onset-based algorithm

PubMed Central

van Holle, Lionel; Bauchau, Vincent

2014-01-01

Purpose Disproportionality methods measure how unexpected the observed number of adverse events is. Time-to-onset (TTO) methods measure how unexpected the TTO distribution of a vaccine-event pair is compared with what is expected from other vaccines and events. Our purpose is to compare the performance associated with each method. Methods For the disproportionality algorithms, we defined 336 combinations of stratification factors (sex, age, region and year) and threshold values of the multi-item gamma Poisson shrinker (MGPS). For the TTO algorithms, we defined 18 combinations of significance level and time windows. We used spontaneous reports of adverse events recorded for eight vaccines. The vaccine product labels were used as proxies for true safety signals. Algorithms were ranked according to their positive predictive value (PPV) for each vaccine separately; amedian rank was attributed to each algorithm across vaccines. Results The algorithm with the highest median rank was based on TTO with a significance level of 0.01 and a time window of 60 days after immunisation. It had an overall PPV 2.5 times higher than for the highest-ranked MGPS algorithm, 16th rank overall, which was fully stratified and had a threshold value of 0.8. A TTO algorithm with roughly the same sensitivity as the highest-ranked MGPS had better specificity but longer time-to-detection. Conclusions Within the scope of this study, the majority of the TTO algorithms presented a higher PPV than for any MGPS algorithm. Considering the complementarity of TTO and disproportionality methods, a signal detection strategy combining them merits further investigation. PMID:24038719

The Scenario of the Potential Analysis Alternative Energy in Order to Strengthening District's Energy Resilience (The Case Study in South Sumatera Province)

NASA Astrophysics Data System (ADS)

Ferry Muhrom, Muhammad; Ronny Rahman Nitibaskara, Tb; Herdiansyah, Herdis; Sari, Ravita

2017-10-01

The current development of fossil energy, which is the driving force of the economy in Indonesia, is a non-renewable energy and is in need to know when it will be exhausted so it may be replaced with renewable energy. Many powerplant systems in Indonesia are still using conventional system that utilizes fossil energy as the primary energy in the process of electricity generation. The occurrence of electrical energy crisis is marked by several electricity blackout phenomenon in some areas in South Sumatera province rotately, which is the proof that the installed power capacity has exceeded the capacity of generation power. Interconnection among several islands, namely Java Island, Sumatera Island, and Bali Island which has been interconnected with closed loop system through transmission network has not been able to overcome the electrical energy crisis. This paper aims to create alternative energy potential scenarios in the province of South Sumatera in sequence/ranking by using quantitative methods with sequential explanatory model formulated in the determination of alternative energy strategies then analyzed by using Analitycal Hierarchy Process(AHP) method. The simulation results from this research indicate that geothermal energy potentials get the highest value so that it becomes the priority of alternative energy strategy in South Sumatera Province.

Setting priorities for a research agenda to combat drug-resistant tuberculosis in children.

PubMed

Velayutham, B; Nair, D; Ramalingam, S; Perez-Velez, C M; Becerra, M C; Swaminathan, S

2015-12-21

Numerous knowledge gaps hamper the prevention and treatment of childhood drug-resistant tuberculosis (TB). Identifying research priorities is vital to inform and develop strategies to address this neglected problem. To systematically identify and rank research priorities in childhood drug-resistant TB. Adapting the Child Health and Nutrition Research Initiative (CHNRI) methodology, we compiled 53 research questions in four research areas, then classified the questions into three research types. We invited experts in childhood drug-resistant TB to score these questions through an online survey. A total of 81 respondents participated in the survey. The top-ranked research question was to identify the best combination of existing diagnostic tools for early diagnosis. Highly ranked treatment-related questions centred on the reasons for and interventions to improve treatment outcomes, adverse effects of drugs and optimal treatment duration. The prevalence of drug-resistant TB was the highest-ranked question in the epidemiology area. The development type questions that ranked highest focused on interventions for optimal diagnosis, treatment and modalities for treatment delivery. This is the first effort to identify and rank research priorities for childhood drug-resistant TB. The result is a resource to guide research to improve prevention and treatment of drug-resistant TB in children.

Learning to rank using user clicks and visual features for image retrieval.

PubMed

Yu, Jun; Tao, Dacheng; Wang, Meng; Rui, Yong

2015-04-01

The inconsistency between textual features and visual contents can cause poor image search results. To solve this problem, click features, which are more reliable than textual information in justifying the relevance between a query and clicked images, are adopted in image ranking model. However, the existing ranking model cannot integrate visual features, which are efficient in refining the click-based search results. In this paper, we propose a novel ranking model based on the learning to rank framework. Visual features and click features are simultaneously utilized to obtain the ranking model. Specifically, the proposed approach is based on large margin structured output learning and the visual consistency is integrated with the click features through a hypergraph regularizer term. In accordance with the fast alternating linearization method, we design a novel algorithm to optimize the objective function. This algorithm alternately minimizes two different approximations of the original objective function by keeping one function unchanged and linearizing the other. We conduct experiments on a large-scale dataset collected from the Microsoft Bing image search engine, and the results demonstrate that the proposed learning to rank models based on visual features and user clicks outperforms state-of-the-art algorithms.

Status change during adulthood: life-history by-product or kin selection based on reproductive value?

PubMed Central

Combes, S. L.; Altmann, J.

2001-01-01

When dominance status predicts fitness, most adaptive models of dominance relationships among cercopithecine primate females predict lifetime maintenance of status. These models and alternative ones positing rank decline as a non-adaptive by-product have remained largely untested, however, because lifetime status of older adults has been virtually unknown for natural populations. In a 25-year study of adult female savannah baboons (Papio cynocephalus), in each of three social groups, rank losses were common among the 66 females that lived past median adult age. These losses were not accounted for by loss in relative rank from group growth or by loss in absolute rank from reversals in rank between members of different maternal families or between sisters. Rather, females that had mature daughters experienced loss of dominance status to these offspring, a characteristic of all but the top-ranking matriline of each group. Among proposed hypotheses for rank reversals between adults, that of kin selection based on relative reproductive value is most clearly supported by these data. In contrast, observed patterns of rank loss are not consistent with alternative models that postulate that changes during adult lifespan are a product of accumulated risk, physical decline during ageing, or coalitionary support among females within or between matrilines. PMID:11429136

Dietary risk ranking for residual antibiotics in cultured aquatic products around Tai Lake, China.

PubMed

Song, Chao; Li, Le; Zhang, Cong; Qiu, Liping; Fan, Limin; Wu, Wei; Meng, Shunlong; Hu, Gengdong; Chen, Jiazhang; Liu, Ying; Mao, Aimin

2017-10-01

Antibiotics are widely used in aquaculture and therefore may be present as a dietary risk in cultured aquatic products. Using the Tai Lake Basin as a study area, we assessed the presence of 15 antibiotics in 5 widely cultured aquatic species using a newly developed dietary risk ranking approach. By assigning scores to each factor involved in the ranking matrices, the scores of dietary risks per antibiotic and per aquatic species were calculated. The results indicated that fluoroquinolone antibiotics posed the highest dietary risk in all aquatic species. Then, the total scores per aquatic species were summed by all 15 antibiotic scores of antibiotics, it was found that Crab (Eriocheir sinensis) had the highest dietary risks. Finally, the most concerned antibiotic category and aquatic species were selected. This study highlighted the importance of dietary risk ranking in the production and consumption of cultured aquatic products around Tai Lake. Copyright © 2017 Elsevier Inc. All rights reserved.

Connoted hazard and perceived importance of fluorescent, neon, and standard safety colors.

PubMed

Zielinska, O A; Mayhorn, C B; Wogalter, M S

2017-11-01

The perceived hazard and rated importance of standard safety, fluorescent, and neon colors are investigated. Colors are used in warnings to enhance hazard communication. Red has consistently been rated as the highest in perceived hazard. Orange, yellow, and black are the next highest in connoted hazard; however, there is discrepancy in their ordering. Safety standards, such as ANSI Z535.1, also list colors to convey important information, but little research has examined the perceived importance of colors. In addition to standard safety colors, fluorescent colors are more commonly used in warnings. Understanding hazard and importance perceptions of standard safety and fluorescent colors is necessary to create effective warnings. Ninety participants rated and ranked a total of 33 colors on both perceived hazard and perceived importance. Rated highest were the safety red colors from the American National Standard Institute (ANSI), International Organization for Standardization (ISO), and Federal Highway Administration (FHWA) together with three fluorescent colors (orange, yellow, and yellow-green) from 3 M on both dimensions. Rankings were similar to ratings except that fluorescent orange was the highest on perceived hazard, while fluorescent orange and safety red from the ANSI were ranked as the highest in perceived importance. Fluorescent colors convey hazard and importance levels as high as the standard safety red colors. Implications for conveying hazard and importance in warnings through color are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

GeoSearcher: Location-Based Ranking of Search Engine Results.

ERIC Educational Resources Information Center

Watters, Carolyn; Amoudi, Ghada

2003-01-01

Discussion of Web queries with geospatial dimensions focuses on an algorithm that assigns location coordinates dynamically to Web sites based on the URL. Describes a prototype search system that uses the algorithm to re-rank search engine results for queries with a geospatial dimension, thus providing an alternative ranking order for search engine…

49 CFR 195.303 - Risk-based alternative to pressure testing older hazardous liquid and carbon dioxide pipelines.

Code of Federal Regulations, 2010 CFR

2010-10-01

... criteria as an alternative to the pressure testing in § 195.302(b)(1)(i)-(iii) and § 195.302(b)(2)(i) of... in paragraph (b) of this section as follows: (1) Risk Classification A if the location indicator is ranked as low or medium risk, the product and volume indicators are ranked as low risk, and the...

49 CFR 195.303 - Risk-based alternative to pressure testing older hazardous liquid and carbon dioxide pipelines.

Code of Federal Regulations, 2011 CFR

2011-10-01

... criteria as an alternative to the pressure testing in § 195.302(b)(1)(i)-(iii) and § 195.302(b)(2)(i) of... in paragraph (b) of this section as follows: (1) Risk Classification A if the location indicator is ranked as low or medium risk, the product and volume indicators are ranked as low risk, and the...

Incorporating uncertainty into the ranking of SPARROW model nutrient yields from Mississippi/Atchafalaya River basin watersheds

USGS Publications Warehouse

Robertson, Dale M.; Schwarz, Gregory E.; Saad, David A.; Alexander, Richard B.

2009-01-01

Excessive loads of nutrients transported by tributary rivers have been linked to hypoxia in the Gulf of Mexico. Management efforts to reduce the hypoxic zone in the Gulf of Mexico and improve the water quality of rivers and streams could benefit from targeting nutrient reductions toward watersheds with the highest nutrient yields delivered to sensitive downstream waters. One challenge is that most conventional watershed modeling approaches (e.g., mechanistic models) used in these management decisions do not consider uncertainties in the predictions of nutrient yields and their downstream delivery. The increasing use of parameter estimation procedures to statistically estimate model coefficients, however, allows uncertainties in these predictions to be reliably estimated. Here, we use a robust bootstrapping procedure applied to the results of a previous application of the hybrid statistical/mechanistic watershed model SPARROW (Spatially Referenced Regression On Watershed attributes) to develop a statistically reliable method for identifying “high priority” areas for management, based on a probabilistic ranking of delivered nutrient yields from watersheds throughout a basin. The method is designed to be used by managers to prioritize watersheds where additional stream monitoring and evaluations of nutrient-reduction strategies could be undertaken. Our ranking procedure incorporates information on the confidence intervals of model predictions and the corresponding watershed rankings of the delivered nutrient yields. From this quantified uncertainty, we estimate the probability that individual watersheds are among a collection of watersheds that have the highest delivered nutrient yields. We illustrate the application of the procedure to 818 eight-digit Hydrologic Unit Code watersheds in the Mississippi/Atchafalaya River basin by identifying 150 watersheds having the highest delivered nutrient yields to the Gulf of Mexico. Highest delivered yields were from watersheds in the Central Mississippi, Ohio, and Lower Mississippi River basins. With 90% confidence, only a few watersheds can be reliably placed into the highest 150 category; however, many more watersheds can be removed from consideration as not belonging to the highest 150 category. Results from this ranking procedure provide robust information on watershed nutrient yields that can benefit management efforts to reduce nutrient loadings to downstream coastal waters, such as the Gulf of Mexico, or to local receiving streams and reservoirs.

Ranking REACH registered neutral, ionizable and ionic organic chemicals based on their aquatic persistency and mobility.

PubMed

Arp, H P H; Brown, T N; Berger, U; Hale, S E

2017-07-19

The contaminants that have the greatest chances of appearing in drinking water are those that are mobile enough in the aquatic environment to enter drinking water sources and persistent enough to survive treatment processes. Herein a screening procedure to rank neutral, ionizable and ionic organic compounds for being persistent and mobile organic compounds (PMOCs) is presented and applied to the list of industrial substances registered under the EU REACH legislation as of December 2014. This comprised 5155 identifiable, unique organic structures. The minimum cut-off criteria considered for PMOC classification herein are a freshwater half-life >40 days, which is consistent with the REACH definition of freshwater persistency, and a log D oc < 4.5 between pH 4-10 (where D oc is the organic carbon-water distribution coefficient). Experimental data were given the highest priority, followed by data from an array of available quantitative structure-activity relationships (QSARs), and as a third resort, an original Iterative Fragment Selection (IFS) QSAR. In total, 52% of the unique REACH structures made the minimum criteria to be considered a PMOC, and 21% achieved the highest PMOC ranking (half-life > 40 days, log D oc < 1.0 between pH 4-10). Only 9% of neutral substances received the highest PMOC ranking, compared to 30% of ionizable compounds and 44% of ionic compounds. Predicted hydrolysis products for all REACH parents (contributing 5043 additional structures) were found to have higher PMOC rankings than their parents, due to increased mobility but not persistence. The fewest experimental data available were for ionic compounds; therefore, their ranking is more uncertain than neutral and ionizable compounds. The most sensitive parameter for the PMOC ranking was freshwater persistency, which was also the parameter that QSARs performed the most poorly at predicting. Several prioritized drinking water contaminants in the EU and USA, and other contaminants of concern, were identified as PMOCs. This identification and ranking procedure for PMOCs can be part of a strategy to better identify contaminants that pose a threat to drinking water sources.

Risk ranking of environmental contaminants in Xiaoqing River, a heavily polluted river along urbanizing Bohai Rim.

PubMed

Li, Qifeng; Zhang, Yueqing; Lu, Yonglong; Wang, Pei; Suriyanarayanan, Sarvajayakesavalu; Meng, Jing; Zhou, Yunqiao; Liang, Ruoyu; Khan, Kifayatullah

2018-08-01

Xiaoqing River, located in the Laizhou Bay of Bohai Sea, is heavily polluted by various pollutants including heavy metals, polycyclic aromatic hydrocarbons (PAHs), hexachlorocyclohexanes (HCHs), perfluoroalkyl acids (PFAAs), bisphenol A (BPA) and pharmaceutical and personal care products (PPCPs). The aim of this study is to identify the relative risks of such contaminants that currently affect the coastal ecosystem. The median and highest concentrations of PFAAs and perfluorooctanoic acid (PFOA) were 3.23 μg L -1 and 325.28 μg L -1 , and 0.173 μg L -1 and 276.24 μg L -1 , respectively, which were ranked higher when compared with global level concentrations. To assess the relative risk levels of perfluorooctane sulfonic acid (PFOS), PFOA, and other contaminants in the upstream and downstream of the Xiaoqing River and in its tributary, a risk ranking analysis was carried out. Copper (Cu), Zinc (Zn), and arsenic (As) showed the highest risk values in the Xiaoqing River, while the relative risks of PFOA and PFOS differed across the various segments. The risk ranking of PFOA was the second highest in the tributary and the fourth highest in the downstream portion of the river, whereas the PFOS was found to be the lowest in all the segments. Heavy metals and PFOA are the main chemicals that should be controlled in the Xiaoqing River. The results of the present study provide a better understanding of the potential ecological risks of the contaminants in Xiaoqing River. Copyright © 2018 Elsevier Ltd. All rights reserved.

Ranking Information in Networks

NASA Astrophysics Data System (ADS)

Eliassi-Rad, Tina; Henderson, Keith

Given a network, we are interested in ranking sets of nodes that score highest on user-specified criteria. For instance in graphs from bibliographic data (e.g. PubMed), we would like to discover sets of authors with expertise in a wide range of disciplines. We present this ranking task as a Top-K problem; utilize fixed-memory heuristic search; and present performance of both the serial and distributed search algorithms on synthetic and real-world data sets.

Face the hierarchy: ERP and oscillatory brain responses in social rank processing.

PubMed

Breton, Audrey; Jerbi, Karim; Henaff, Marie-Anne; Cheylus, Anne; Baudouin, Jean-Yves; Schmitz, Christina; Krolak-Salmon, Pierre; Van der Henst, Jean-Baptiste

2014-01-01

Recognition of social hierarchy is a key feature that helps us navigate through our complex social environment. Neuroimaging studies have identified brain structures involved in the processing of hierarchical stimuli but the precise temporal dynamics of brain activity associated with such processing remains largely unknown. Here, we used electroencephalography to examine the effect of social hierarchy on neural responses elicited by faces. In contrast to previous studies, the key manipulation was that a hierarchical context was constructed, not by varying facial expressions, but by presenting neutral-expression faces in a game setting. Once the performance-based hierarchy was established, participants were presented with high-rank, middle-rank and low-rank player faces and had to evaluate the rank of each face with respect to their own position. Both event-related potentials and task-related oscillatory activity were investigated. Three main findings emerge from the study. First, the experimental manipulation had no effect on the early N170 component, which may suggest that hierarchy did not modulate the structural encoding of neutral-expression faces. Second, hierarchy significantly modulated the amplitude of the late positive potential (LPP) within a 400-700 ms time-window, with more a prominent LPP occurring when the participants processed the face of the highest-rank player. Third, high-rank faces were associated with the highest reduction of alpha power. Taken together these findings provide novel electrophysiological evidence for enhanced allocation of attentional resource in the presence of high-rank faces. At a broader level, this study brings new insights into the neural processing underlying social categorization.

World University Ranking Systems: An Alternative Approach Using Partial Least Squares Path Modelling

ERIC Educational Resources Information Center

Jajo, Nethal K.; Harrison, Jen

2014-01-01

University rankings are key drivers in national and institutional strategic planning. The increase in the number of university ranking systems and the diversity of methods and indicators used by these systems necessitate the development of an index that can measure a university's performance in all these systems at once. This article presents…

38 CFR 61.32 - Ranking non-capital grant recipients for per diem.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Availability will be reviewed and grouped in categories according to the funding priorities set forth in the... available, within highest priority funding category if applicable, will be conditionally selected for eligibility to receive per diem payments in accordance with their ranked order. If funding priorities have...

The Increasing Trend in Global Ranking of Websites of Iranian Medical Universities during January 2012-2015.

PubMed

Ramezan Ghorbani, Nahid; Fakour, Yousef; Nojoumi, Seyed Ali

2017-08-01

Researchers and academic institutions need assessment and rating to measure their performance. The criteria are designed to evaluate quality and adequacy of research and welcome by most universities as an international process to increase monitoring academic achievements. The study aimed to evaluate the increasing trend in global ranking of Iranian medical universities websites emphasizing on comparative approach. This is a cross-sectional study involving websites of Iranian medical universities. Sampling was conducted by census selecting universities affiliated to the Ministry of Health in webometrics rating system. Web sites of Iranian medical universities were investigated based on the webometrics indicators, global ranking as well as the process of changing their rating. Universities of medical sciences were associated with improved ratings in seven periods from Jan 2012 until Jan 2015. The highest rank was in Jan 2014. Tehran University of Medical Sciences ranked the first in all periods. The highest ratings were about impact factor in universities of medical sciences reflecting the low level of this index in university websites. The least ranking was observed in type 1 universities. Despite the criticisms and weaknesses of these webometrics criteria, they are critical to this equation and should be checked for authenticity and suitability of goals. Therefore, localizing these criteria by the advantages model, ranking systems features, continuous development and medical universities evaluation based on these indicators provide new opportunities for the development of the country especially through online media.

The Increasing Trend in Global Ranking of Websites of Iranian Medical Universities during January 2012–2015

PubMed Central

RAMEZAN GHORBANI, Nahid; FAKOUR, Yousef; NOJOUMI, Seyed Ali

2017-01-01

Background: Researchers and academic institutions need assessment and rating to measure their performance. The criteria are designed to evaluate quality and adequacy of research and welcome by most universities as an international process to increase monitoring academic achievements. The study aimed to evaluate the increasing trend in global ranking of Iranian medical universities websites emphasizing on comparative approach. Methods: This is a cross-sectional study involving websites of Iranian medical universities. Sampling was conducted by census selecting universities affiliated to the Ministry of Health in webometrics rating system. Web sites of Iranian medical universities were investigated based on the webometrics indicators, global ranking as well as the process of changing their rating. Universities of medical sciences were associated with improved ratings in seven periods from Jan 2012 until Jan 2015. Results: The highest rank was in Jan 2014. Tehran University of Medical Sciences ranked the first in all periods. The highest ratings were about impact factor in universities of medical sciences reflecting the low level of this index in university websites. The least ranking was observed in type 1 universities. Conclusion: Despite the criticisms and weaknesses of these webometrics criteria, they are critical to this equation and should be checked for authenticity and suitability of goals. Therefore, localizing these criteria by the advantages model, ranking systems features, continuous development and medical universities evaluation based on these indicators provide new opportunities for the development of the country especially through online media. PMID:28894711

Alternative Fuels Data Center

Science.gov Websites

AFDC » Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center to someone by E-mail Share Alternative Fuels Data Center on Facebook Tweet about Alternative Fuels Data on Delicious Rank Alternative Fuels Data Center on Digg Find More places to share Alternative Fuels

Salt Lake Clean Cities Coalition: Outstanding coalition director: Beverly Miller (Clean Cities alternative fuel information series fact sheet)

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

Woodward, S.

2000-04-26

The Salt Lake metropolitan area faces some interesting economic and environmental challenges. It ranks eighth in the nation in population growth, so managing its increasing numbers without spoiling the beauty of its high mountain valley may seem to be a contradiction in goals. In addition, the 2002 Winter Olympics will attract almost 2 million visitors during February, when Salt Lake's unusual topography encourages its highest levels of air pollution. The Clean Cities Coalition is working with the Salt Lake Olympic Organizing Committee to find clean vehicles to transport visitors to and from the various Olympic venues. A major goal ofmore » the Coalition is to keep as many AFVs as possible in Utah after the Olympics.« less

Integrating Exposure into Chemical Alternatives Assessment Using a Qualitative Approach

EPA Science Inventory

Most alternatives assessments (AA) published to date are largely hazard-based rankings, and as such may not represent a fully informed consideration of the advantages and disadvantages of possible alternatives. With an assessment goal of identifying an alternative chemical that i...

Model of Decision Making through Consensus in Ranking Case

NASA Astrophysics Data System (ADS)

Tarigan, Gim; Darnius, Open

2018-01-01

The basic problem to determine ranking consensus is a problem to combine some rankings those are decided by two or more Decision Maker (DM) into ranking consensus. DM is frequently asked to present their preferences over a group of objects in terms of ranks, for example to determine a new project, new product, a candidate in a election, and so on. The problem in ranking can be classified into two major categories; namely, cardinal and ordinal rankings. The objective of the study is to obtin the ranking consensus by appying some algorithms and methods. The algorithms and methods used in this study were partial algorithm, optimal ranking consensus, BAK (Borde-Kendal)Model. A method proposed as an alternative in ranking conssensus is a Weighted Distance Forward-Backward (WDFB) method, which gave a little difference i ranking consensus result compare to the result oethe example solved by Cook, et.al (2005).

H-index and academic rank in general surgery and surgical specialties in the United States.

PubMed

Ashfaq, Awais; Kalagara, Roshini; Wasif, Nabil

2018-09-01

H-index serves as an alternative to measure academic achievement. Our objective is to study the h-index as a measure of academic attainment in general surgery and surgical specialties. A database of all surgical programs in the United States was created. Publish or Perish software was used to determine surgeons h-index. A total of 134 hospitals and 3712 surgeons (79% male) were included. Overall, mean h-index was 14.9 ± 14.8. H-index increased linearly with academic rank: 6.8 ± 6.4 for assistant professors (n = 1557, 41.9%), 12.9 ± 9.3 for associate professors (n = 891, 24%), and 27.9 ± 17.4 for professors (n = 1170, 31.5%); P < 0.001. Thoracic surgery and surgical oncology had the highest subspecialty mean h-indices (18.7 ± 16.7 and 18.4 ± 17.6, respectively). Surgeons with additional postgraduate degrees, university affiliations and male had higher mean h-indices; P < 0.001. Scatterplot analysis showed a strong correlation between h-index and the number of publications (R2 = 0.817) and citations (R2 = 0.768). The h-index of academic surgeons correlates with academic rank and serves a potential tool to measure academic productivity. Copyright © 2018 Elsevier Inc. All rights reserved.

Rank-preserving regression: a more robust rank regression model against outliers.

PubMed

Chen, Tian; Kowalski, Jeanne; Chen, Rui; Wu, Pan; Zhang, Hui; Feng, Changyong; Tu, Xin M

2016-08-30

Mean-based semi-parametric regression models such as the popular generalized estimating equations are widely used to improve robustness of inference over parametric models. Unfortunately, such models are quite sensitive to outlying observations. The Wilcoxon-score-based rank regression (RR) provides more robust estimates over generalized estimating equations against outliers. However, the RR and its extensions do not sufficiently address missing data arising in longitudinal studies. In this paper, we propose a new approach to address outliers under a different framework based on the functional response models. This functional-response-model-based alternative not only addresses limitations of the RR and its extensions for longitudinal data, but, with its rank-preserving property, even provides more robust estimates than these alternatives. The proposed approach is illustrated with both real and simulated data. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers

PubMed Central

2010-01-01

Background At the current price, the use of high-density single nucleotide polymorphisms (SNP) genotyping assays in genomic selection of dairy cattle is limited to applications involving elite sires and dams. The objective of this study was to evaluate the use of low-density assays to predict direct genomic value (DGV) on five milk production traits, an overall conformation trait, a survival index, and two profit index traits (APR, ASI). Methods Dense SNP genotypes were available for 42,576 SNP for 2,114 Holstein bulls and 510 cows. A subset of 1,847 bulls born between 1955 and 2004 was used as a training set to fit models with various sets of pre-selected SNP. A group of 297 bulls born between 2001 and 2004 and all cows born between 1992 and 2004 were used to evaluate the accuracy of DGV prediction. Ridge regression (RR) and partial least squares regression (PLSR) were used to derive prediction equations and to rank SNP based on the absolute value of the regression coefficients. Four alternative strategies were applied to select subset of SNP, namely: subsets of the highest ranked SNP for each individual trait, or a single subset of evenly spaced SNP, where SNP were selected based on their rank for ASI, APR or minor allele frequency within intervals of approximately equal length. Results RR and PLSR performed very similarly to predict DGV, with PLSR performing better for low-density assays and RR for higher-density SNP sets. When using all SNP, DGV predictions for production traits, which have a higher heritability, were more accurate (0.52-0.64) than for survival (0.19-0.20), which has a low heritability. The gain in accuracy using subsets that included the highest ranked SNP for each trait was marginal (5-6%) over a common set of evenly spaced SNP when at least 3,000 SNP were used. Subsets containing 3,000 SNP provided more than 90% of the accuracy that could be achieved with a high-density assay for cows, and 80% of the high-density assay for young bulls. Conclusions Accurate genomic evaluation of the broader bull and cow population can be achieved with a single genotyping assays containing ~ 3,000 to 5,000 evenly spaced SNP. PMID:20950478

Efficient l1 -norm-based low-rank matrix approximations for large-scale problems using alternating rectified gradient method.

PubMed

Kim, Eunwoo; Lee, Minsik; Choi, Chong-Ho; Kwak, Nojun; Oh, Songhwai

2015-02-01

Low-rank matrix approximation plays an important role in the area of computer vision and image processing. Most of the conventional low-rank matrix approximation methods are based on the l2 -norm (Frobenius norm) with principal component analysis (PCA) being the most popular among them. However, this can give a poor approximation for data contaminated by outliers (including missing data), because the l2 -norm exaggerates the negative effect of outliers. Recently, to overcome this problem, various methods based on the l1 -norm, such as robust PCA methods, have been proposed for low-rank matrix approximation. Despite the robustness of the methods, they require heavy computational effort and substantial memory for high-dimensional data, which is impractical for real-world problems. In this paper, we propose two efficient low-rank factorization methods based on the l1 -norm that find proper projection and coefficient matrices using the alternating rectified gradient method. The proposed methods are applied to a number of low-rank matrix approximation problems to demonstrate their efficiency and robustness. The experimental results show that our proposals are efficient in both execution time and reconstruction performance unlike other state-of-the-art methods.

Twenty-Eighth Annual Rank-Order Distribution of Administrative Salaries Paid, 1994-95.

ERIC Educational Resources Information Center

Arkansas Univ., Fayetteville. Office of Institutional Research.

This report presents comparative data collected from 103 state-supported universities or university systems in 47 states, and 38 university systems representing 30 states, on the administrative salaries they paid in 1994-95. The salaries are presented in rank-order (from highest to lowest) to facilitate comparisons of a participant's relative…

Thirtieth Annual Rank-Order Distribution of Administrative Salaries Paid, 1996-97.

ERIC Educational Resources Information Center

Arkansas Univ., Fayetteville. Office of Institutional Research.

This report presents comparative data collected from 87 state-supported universities in 45 states, and 27 university systems representing 21 states, on the administrative salaries they paid in 1996-97. The salaries are presented in rank-order (from highest to lowest) to facilitate comparisons of a participant's relative standing with other…

Twenty-Ninth Annual Rank-Order Distribution of Administrative Salaries Paid, 1995-96.

ERIC Educational Resources Information Center

Arkansas Univ., Fayetteville. Office of Institutional Research.

This report presents comparative data collected from 98 state-supported universities in 47 states, and 38 university systems representing 30 states, on the administrative salaries they paid in 1994-95. The salaries are presented in rank-order (from highest to lowest) to facilitate comparisons of a participant's relative standing with other…

Continuing Education Needs of the Office Oncology Nurse.

ERIC Educational Resources Information Center

Rogers, Miriam P.

1999-01-01

A study determined the learning needs of office oncology nurses (n=290)as a critical first step in planning education programs. Participants ranked cancer-care topics similarly, regardless of age, background, or experience. The highest-ranked needs were clustered in the areas of cancer nursing practice, major cancers, and cancer treatment.…

Pitfalls in Aggregating Performance Measures in Higher Education

ERIC Educational Resources Information Center

Williams, Ross; de Rassenfosse, Gaétan

2016-01-01

National and international rankings of universities are now an accepted part of the higher education landscape. Rankings aggregate different performance measures into a single scale and therefore depend on the methods and weights used to aggregate. The most common method is to scale each variable relative to the highest performing entity prior to…

Microcomputer Based Computer-Assisted Learning System: CASTLE.

ERIC Educational Resources Information Center

Garraway, R. W. T.

The purpose of this study was to investigate the extent to which a sophisticated computer assisted instruction (CAI) system could be implemented on the type of microcomputer system currently found in the schools. A method was devised for comparing CAI languages and was used to rank five common CAI languages. The highest ranked language, NATAL,…

A Universal Rank-Size Law

PubMed Central

2016-01-01

A mere hyperbolic law, like the Zipf’s law power function, is often inadequate to describe rank-size relationships. An alternative theoretical distribution is proposed based on theoretical physics arguments starting from the Yule-Simon distribution. A modeling is proposed leading to a universal form. A theoretical suggestion for the “best (or optimal) distribution”, is provided through an entropy argument. The ranking of areas through the number of cities in various countries and some sport competition ranking serves for the present illustrations. PMID:27812192

Liver transplant center variability in accepting organ offers and its impact on patient survival

PubMed Central

Goldberg, David S.; French, Benjamin; Lewis, James D.; Scott, Frank I; Mamtani, Ronac; Gilroy, Richard; Halpern, Scott D.; Abt, Peter L

2015-01-01

Background & Aims Despite an allocation system designed to give deceased-donor livers to the sickest patients, many transplantable livers are declined by U.S. transplant centers. It is unknown whether centers vary in their propensities to decline organs for the highest-priority patients, and how these decisions directly impact patient outcomes. Methods We analyzed Organ Procurement and Transplantation Network (OPTN) data from 5/1/07-6/17/13, and included all adult liver-alone waitlist candidates offered an organ that was ultimately transplanted. We evaluated acceptance rates of liver offers for the highest-ranked patients and their subsequent waitlist mortality. Results Of the 23,740 unique organ offers, 8,882 (37.4%) were accepted for the first-ranked patient. Despite adjusting for organ quality and recipient severity of illness, transplant centers within and across geographic regions varied strikingly (p<0.001) in the percentage of organ offers they accepted for the highest-priority patients. Among all patients ranked first on waitlists, the adjusted center-specific organ acceptance rates ranged from 15.7% to 58.1%. In multivariable models, there was a 27% increased odds of waitlist mortality for every 5% absolute decrease in a center’s adjusted organ offer acceptance rate (adjusted OR: 1.27, 95% CI: 1.20–1.32). However, the absolute difference in median 5-year adjusted graft survival was 4% between livers accepted for the first-ranked patient, compared to those declined and transplanted at a lower position. Discussion There is marked variability in center practices regarding accepting livers allocated to the highest-priority patients. Center-level decisions to decline organs substantially increased patients’ odds of dying on the waitlist without a transplant. PMID:26626495

Pitfalls of using internal rate of return to rank investments in forestry

Treesearch

David A. Gansner; David N. Larsen

1969-01-01

Using the internal rate of return concept to rank the economic desirability of investment opportunities can lead to incorrect investment decisions. Present value provides a correct and unambiguous means of judging such investment alternatives.

Alternative Fuels Data Center: State Information

Science.gov Websites

Information to someone by E-mail Share Alternative Fuels Data Center: State Information on Facebook Tweet about Alternative Fuels Data Center: State Information on Twitter Bookmark Alternative Fuels Data Center : State Information on Google Bookmark Alternative Fuels Data Center: State Information on Delicious Rank

Using an innovative criteria weighting tool for stakeholders involvement to rank MSW facility sites with the AHP.

PubMed

De Feo, Giovanni; De Gisi, Sabino

2010-11-01

The main aim of this study was to verify the efficacy of using an innovative criteria weighting tool (the "priority scale") for stakeholders involvement to rank a list of suitable municipal solid waste (MSW) facility sites with the multi-criteria decision-making (MCDM) technique known as analytic hierarchy process (AHP). One of the main objectives of the study was to verify the behaviour of the "priority scale" with both technical and non-technical decision-makers. All over the world, the siting of MSW treatment or disposal plants is a complex process involving politicians, technicians as well as citizens, where stakeholders who are not effectively involved strongly oppose (or even obstruct) the realization of new facilities. In this study, in order to pursue both the technical (select the best site) and social aims (all the stakeholders have to give their aware contribution), the use of the "priority scale" is suggested as a tool to easily collect non-contradictory criteria preferences by the various decision-makers. Every decision-maker filled in "priority scale", which was subsequently uploaded in the AHP tool in order to indirectly calculate the individual priority of alternatives given by each stakeholder (not using group aggregation techniques). The proposed method was applied to the siting of a composting plant in an area suffering from a serious MSW emergency, which has lasted for over 15 years, in the Campania Region, in Southern Italy. The best site (the "first choice") was taken as the one that appeared the most times at the first place of each decision-maker ranking list. The involved technical and non-technical decision-makers showed the same behaviour in (indirectly) selecting the best site as well as in terms of the most appraised criteria ("absence of areas of the highest value for natural habitats and species of plants and animals"). Moreover, they showed the same AHP inconsistency ratio as well as the same behaviour in comparison with a "balanced decision-maker" (who assigns identical weights to all the considered criteria). Therefore, the proposed criteria weighting tool could be widely as well as easily used for stakeholders involvement to rank MSW facility sites (or other kinds of alternatives) with the AHP or with other MCDM techniques, taking or not into consideration group aggregation methods. Copyright © 2010 Elsevier Ltd. All rights reserved.

Multi-level multi-criteria analysis of alternative fuels for waste collection vehicles in the United States.

PubMed

Maimoun, Mousa; Madani, Kaveh; Reinhart, Debra

2016-04-15

Historically, the U.S. waste collection fleet was dominated by diesel-fueled waste collection vehicles (WCVs); the growing need for sustainable waste collection has urged decision makers to incorporate economically efficient alternative fuels, while mitigating environmental impacts. The pros and cons of alternative fuels complicate the decisions making process, calling for a comprehensive study that assesses the multiple factors involved. Multi-criteria decision analysis (MCDA) methods allow decision makers to select the best alternatives with respect to selection criteria. In this study, two MCDA methods, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Simple Additive Weighting (SAW), were used to rank fuel alternatives for the U.S. waste collection industry with respect to a multi-level environmental and financial decision matrix. The environmental criteria consisted of life-cycle emissions, tail-pipe emissions, water footprint (WFP), and power density, while the financial criteria comprised of vehicle cost, fuel price, fuel price stability, and fueling station availability. The overall analysis showed that conventional diesel is still the best option, followed by hydraulic-hybrid WCVs, landfill gas (LFG) sourced natural gas, fossil natural gas, and biodiesel. The elimination of the WFP and power density criteria from the environmental criteria ranked biodiesel 100 (BD100) as an environmentally better alternative compared to other fossil fuels (diesel and natural gas). This result showed that considering the WFP and power density as environmental criteria can make a difference in the decision process. The elimination of the fueling station and fuel price stability criteria from the decision matrix ranked fossil natural gas second after LFG-sourced natural gas. This scenario was found to represent the status quo of the waste collection industry. A sensitivity analysis for the status quo scenario showed the overall ranking of diesel and fossil natural gas to be more sensitive to changing fuel prices as compared to other alternatives. Copyright © 2016 Elsevier B.V. All rights reserved.

Male dominance rank and reproductive success in chimpanzees, Pan troglodytes schweinfurthii.

PubMed

Wroblewski, Emily E; Murray, Carson M; Keele, Brandon F; Schumacher-Stankey, Joann C; Hahn, Beatrice H; Pusey, Anne E

2009-01-01

Competition for fertile females determines male reproductive success in many species. The priority of access model predicts that male dominance rank determines access to females, but this model has been difficult to test in wild populations, particularly in promiscuous mating systems. Tests of the model have produced variable results, probably because of the differing socioecological circumstances of individual species and populations. We tested the predictions of the priority of access model in the chimpanzees of Gombe National Park, Tanzania. Chimpanzees are an interesting species in which to test the model because of their fission-fusion grouping patterns, promiscuous mating system and alternative male mating strategies. We determined paternity for 34 offspring over a 22-year period and found that the priority of access model was generally predictive of male reproductive success. However, we found that younger males had higher success per male than older males, and low-ranking males sired more offspring than predicted. Low-ranking males sired offspring with younger, less desirable females and by engaging in consortships more often than high-ranking fathers. Although alpha males never sired offspring with related females, inbreeding avoidance of high-ranking male relatives did not completely explain the success of low-ranking males. While our work confirms that male rank typically predicts male chimpanzee reproductive success, other factors are also important; mate choice and alternative male strategies can give low-ranking males access to females more often than would be predicted by the model. Furthermore, the success of younger males suggests that they are more successful in sperm competition.

Sodium Bearing Waste Processing Alternatives Analysis

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

Murphy, James Anthony; Palmer, Brent J; Perry, Keith Joseph

2003-12-01

A multidisciplinary team gathered to develop a BBWI recommendation to DOE-ID on the processing alternatives for the sodium bearing waste in the INTEC Tank Farm. Numerous alternatives were analyzed using a rigorous, systematic approach. The data gathered were evaluated through internal and external peer reviews for consistency and validity. Three alternatives were identified to be top performers: Risk-based Calcination, MACT to WIPP Calcination and Cesium Ion Exchange. A dual-path through early Conceptual design is recommended for MACT to WIPP Calcination and Cesium Ion Exchange since Risk-based Calcination does not require design. If calcination alternatives are not considered based on givingmore » Type of Processing criteria significantly greater weight, the CsIX/TRUEX alternative follows CsIX in ranking. However, since CsIX/TRUEX shares common uncertainties with CsIX, reasonable backups, which follow in ranking, are the TRUEX and UNEX alternatives. Key uncertainties must be evaluated by the decision-makers to choose one final alternative. Those key uncertainties and a path forward for the technology roadmapping of these alternatives is provided.« less

Instructor perceptions of the accident likelihood faced by recently trained glider pilots.

PubMed

Jarvis, Steve; Harris, Don

2011-12-01

U.K. glider pilots with less than 10 h of solo flying time have been shown to have the highest accident rate and be most vulnerable to accidents during the 'final approach' phase. There were 58 gliding instructors who were asked to indicate what experience level they thought was associated with the highest accident rate and provide the reason behind their estimate. They were also asked to rank six flight phases by the relative probability of accidents to inexperienced pilots. The mean estimate for the accident peak was 296.3 h as pilot-in-command (SD = 337.9) with no instructor giving a figure of less than 10 h. Common reasons for these estimates were 'over-confidence', 'risk-taking', or 'complacency'. Instructors also ranked six flight phases by the likelihood of an accident being caused by inexperienced pilots during that phase. Despite the approach phase having the highest objective accident probability, it was only ranked fifth by instructors, indicating an underestimate of the danger it presents to newly trained pilots. The results suggest that instructors do not appreciate the high accident likelihood of early solo pilots or the main dangers they face. This has implications for the decisions made when sending pilots solo.

Twenty-Seventh Annual Rank-Order Distribution of Administrative Salaries Paid, 1993-94.

ERIC Educational Resources Information Center

Arkansas Univ., Fayetteville. Office of Institutional Research.

This study presents comparative data collected from 85 state-supported universities or university systems in 45 states, and 35 university systems representing 28 states on the administrative salaries they paid in 1993-94. The salaries are presented in rank-order (from highest to lowest) to facilitate comparisons of a particular position's salary…

Advertisements, Volition, and Peers among Other Causes of Smoking: Perceptions of College Student Smokers.

ERIC Educational Resources Information Center

Zinser, Otto; And Others

1994-01-01

College students (n=177) ranked influence they thought various factors had on their smoking behavior. Subjects ranked peers first and cigarette advertisements last as causes of starting to smoke; my decision and health education advertisements highest and peers lowest for quitting smoking. Findings suggest students perceived they had high degree…

The Status Gap: Female Faculty in the Legal Academy

ERIC Educational Resources Information Center

Monopoli, Paula A.

2014-01-01

Status in the legal academy can mean two things. The first is one's rank, with the highest status being a tenured, full professor. The second is the prestige of one's home institution in the law school rankings. Women have been graduating from law schools in significant numbers for more than thirty years. However, they continue to be…

The Correlation of Media Ranking's "Best" Hospitals and Surgical Outcomes Following Radical Cystectomy for Urothelial Cancer.

PubMed

Lascano, Danny; Finkelstein, Julia B; Barlow, LaMont J; Kabat, Daniel; RoyChoudhury, Arindam; Caso, Jorge R; DeCastro, G Joel; Gold, William; McKiernan, James M

2015-12-01

To evaluate whether there is a correlation between publicized health ranking systems and surgical outcomes after radical cystectomy (RC) in New York State (NYS). Using the Statewide Planning and Research Cooperative System, data were collected in an aggregated fashion per hospital for the 20 hospitals with the highest RC volume in NYS from 2009 to 2012. Hospital characteristics were obtained from the publicly available sources such as the Centers for Medicare and Medicaid Services. Publicized ranking systems evaluated included the US News & World Health Report for Urology ranking (USHR), Healthgrades (HG) score, and Consumer Reports (CR) safety ranking. Outcomes measured included mortality, readmissions, and causes of readmissions. CR safety scores were inversely associated with overall death at 90 days after surgery (R = -0.527, P = .030), number of readmissions (R = -0.608, P = .030), and readmissions because of surgical complications (R = -0.523, P = .031) on a Pearson correlation test. On Kendall rank tau test, USHR and HG were not associated with any outcome of interest, although the scores correlated with increasing RC volume. In our analysis of 20 hospitals with the highest RC volume in NYS, USHR and HG scores were not strongly associated with any clinical outcome after RC. CR performed well in comparison with USHR and HG. Nevertheless, better metrics are needed to compare hospitals and to incorporate curative rates for morbid surgeries. Copyright © 2015 Elsevier Inc. All rights reserved.

Ranking independent timber investments by alternative investment criteria

Treesearch

Thomas J. Mills; Gary E. Dixon

1982-01-01

A sample of 231 independent timber investments were ranked by internal rate of return, present net worth per acre and the benefit cost ratio—the last two discounted by 3, 6.4. 7.5. and 10 percent—to determine if the different criteria had a practical influence on timber investment ranking. The samples in this study were drawn from a group of timber investments...

Decision support system for determining Bantuan Siswa Miskin (BSM) receivers with profile matching method

NASA Astrophysics Data System (ADS)

Situmorang, B. H.; Pibriana, E.; Tosida, E. T.

2018-03-01

Bantuan Siswa Miskin (BSM) is a National Programs aimed at eliminating the barriers of poor students participating to school by helping poor students gain access to appropriate education services, prevent dropping out of school, attract poor students back to school, assis students in providing for learning activities, support the Nine Years Basic Education (and even up to senior high school) program, as well as helping to smooth the school programs [1]. Decision Support System is made by applying Profile Matching method to assist teachers or school operators in SMP PGRI Ciasmara in selecting prospective recipients of BSM program and providing recommendations in decision making. Profile Matching is used to compare the actual data value of a profile to be assessed by the expected profile value, so that it can be known the difference of competence (also called GAP). If the resulting value of GAP is smaller then the weight of value will be greater, which means it has a greater chance to be recommended as a potential recipient of the BSM program. Decision Support System for determining BSM receivers is only choosing the right alternatives to receive BSM according to the BSM quota given to SMP PGRI Ciasmara. The right alternatives to receive this BSM is the highest ranking alternatives.

On the ranking of chemicals based on their PBT characteristics: comparison of different ranking methodologies using selected POPs as an illustrative example.

PubMed

Sailaukhanuly, Yerbolat; Zhakupbekova, Arai; Amutova, Farida; Carlsen, Lars

2013-01-01

Knowledge of the environmental behavior of chemicals is a fundamental part of the risk assessment process. The present paper discusses various methods of ranking of a series of persistent organic pollutants (POPs) according to the persistence, bioaccumulation and toxicity (PBT) characteristics. Traditionally ranking has been done as an absolute (total) ranking applying various multicriteria data analysis methods like simple additive ranking (SAR) or various utility functions (UFs) based rankings. An attractive alternative to these ranking methodologies appears to be partial order ranking (POR). The present paper compares different ranking methods like SAR, UF and POR. Significant discrepancies between the rankings are noted and it is concluded that partial order ranking, as a method without any pre-assumptions concerning possible relation between the single parameters, appears as the most attractive ranking methodology. In addition to the initial ranking partial order methodology offers a wide variety of analytical tools to elucidate the interplay between the objects to be ranked and the ranking parameters. In the present study is included an analysis of the relative importance of the single P, B and T parameters. Copyright © 2012 Elsevier Ltd. All rights reserved.

Transaction costs and sequential bargaining in transferable discharge permit markets.

PubMed

Netusil, N R; Braden, J B

2001-03-01

Market-type mechanisms have been introduced and are being explored for various environmental programs. Several existing programs, however, have not attained the cost savings that were initially projected. Modeling that acknowledges the role of transactions costs and the discrete, bilateral, and sequential manner in which trades are executed should provide a more realistic basis for calculating potential cost savings. This paper presents empirical evidence on potential cost savings by examining a market for the abatement of sediment from farmland. Empirical results based on a market simulation model find no statistically significant change in mean abatement costs under several transaction cost levels when contracts are randomly executed. An alternative method of contract execution, gain-ranked, yields similar results. At the highest transaction cost level studied, trading reduces the total cost of compliance relative to a uniform standard that reflects current regulations.

Testing the robustness of management decisions to uncertainty: Everglades restoration scenarios.

PubMed

Fuller, Michael M; Gross, Louis J; Duke-Sylvester, Scott M; Palmer, Mark

2008-04-01

To effectively manage large natural reserves, resource managers must prepare for future contingencies while balancing the often conflicting priorities of different stakeholders. To deal with these issues, managers routinely employ models to project the response of ecosystems to different scenarios that represent alternative management plans or environmental forecasts. Scenario analysis is often used to rank such alternatives to aid the decision making process. However, model projections are subject to uncertainty in assumptions about model structure, parameter values, environmental inputs, and subcomponent interactions. We introduce an approach for testing the robustness of model-based management decisions to the uncertainty inherent in complex ecological models and their inputs. We use relative assessment to quantify the relative impacts of uncertainty on scenario ranking. To illustrate our approach we consider uncertainty in parameter values and uncertainty in input data, with specific examples drawn from the Florida Everglades restoration project. Our examples focus on two alternative 30-year hydrologic management plans that were ranked according to their overall impacts on wildlife habitat potential. We tested the assumption that varying the parameter settings and inputs of habitat index models does not change the rank order of the hydrologic plans. We compared the average projected index of habitat potential for four endemic species and two wading-bird guilds to rank the plans, accounting for variations in parameter settings and water level inputs associated with hypothetical future climates. Indices of habitat potential were based on projections from spatially explicit models that are closely tied to hydrology. For the American alligator, the rank order of the hydrologic plans was unaffected by substantial variation in model parameters. By contrast, simulated major shifts in water levels led to reversals in the ranks of the hydrologic plans in 24.1-30.6% of the projections for the wading bird guilds and several individual species. By exposing the differential effects of uncertainty, relative assessment can help resource managers assess the robustness of scenario choice in model-based policy decisions.

Rank in Self-Defense Forces and risk factors for atherosclerotic disease.

PubMed

Sakuta, Hidenari; Suzuki, Takashi

2005-10-01

Socioeconomic status is associated with prevalence of and risk for atherosclerotic disease. We investigated the relationship between rank in the Self-Defense Forces (SDFs) and risk factors for atherosclerotic disease among middle-aged, male, SDFs personnel. Subjects were classified into five groups according to their ranks in the SDFs, i.e., class 1 (lowest, n = 289), class 2 (low, n = 170), class 3 (middle, n = 229), class 4 (high, n = 197), and class 5 (highest, n = 89). Low rank was associated with current cigarette smoking, alcohol abstaining, and poorer vegetable consumption. It was also associated with prevalence of type 2 diabetes, elevated gamma-glutamyltransferase activity, and high white blood cell counts. Prevalence of obesity, hypertension, hypercholesterolemia, hypertriglyceridemia, or hyperuricemia was not associated with rank in this population. Rank may be regarded as one of the markers that reflect individual health states among middle-aged male personnel.

Alternative Fuels Data Center: Data Downloads

Science.gov Websites

Data Downloads to someone by E-mail Share Alternative Fuels Data Center: Data Downloads on Facebook Tweet about Alternative Fuels Data Center: Data Downloads on Twitter Bookmark Alternative Fuels Data Center: Data Downloads on Google Bookmark Alternative Fuels Data Center: Data Downloads on Delicious Rank

Bedside interprofessional rounds: perceptions of benefits and barriers by internal medicine nursing staff, attending physicians, and housestaff physicians.

PubMed

Gonzalo, Jed D; Kuperman, Ethan; Lehman, Erik; Haidet, Paul

2014-10-01

Interprofessional collaboration improves the quality of care, but integration into workflow is challenging. Although a shared conceptualization regarding bedside interprofessional rounds may enhance implementation, little work has investigated providers' perceptions of this activity. To evaluate the perceptions of nurses, attending physicians, and housestaff physicians regarding the benefits/barriers to bedside interprofessional rounds. Observational, cross-sectional survey of hospital-based medicine nurses, attending physicians, and housestaff physicians. Descriptive, nonparametric Wilcoxon rank sum and nonparametric correlation were used. Bedside interprofessional rounds were defined as "encounters including 2 physicians plus a nurse or other care provider discussing the case at the patient's bedside." Eighteen items related to "benefits" and 21 items related to "barriers" associated with bedside interprofessional rounds. Of 171 surveys sent, 149 were completed (87%). Highest-ranked benefits were related to communication/coordination, including "improves communication between nurses-physicians;" lowest-ranked benefits were related to efficiency, process, and outcomes, including "decreases length-of-stay" and "improves timeliness of consultations." Nurses reported most favorable ratings for all items (P < 0.05). Rank order for 3 provider groups showed high correlation (r = 0.92, P < 0.001). Highest-ranked barriers were related to time, including "nursing staff have limited time;" lowest-ranked barriers were related to provider- and patient-related factors, including "patient lack of comfort." Rank order of barriers among all groups showed moderate correlation (r = 0.62-0.82). Although nurses perceived greater benefit for bedside interprofessional rounds than physicians, all providers perceived coordination/teamwork benefits higher than outcomes. To the extent the results are generalizable, these findings lay the foundation for facilitating meaningful patient-centered interprofessional collaboration. © 2014 Society of Hospital Medicine.

Prioritising and planning of urban stormwater treatment in the Alna watercourse in Oslo.

PubMed

Nordeidet, B; Nordeide, T; Astebøl, S O; Hvitved-Jacobsen, T

2004-12-01

The Oslo municipal Water and Sewage Works (VAV) intends to improve the water quality in the Alna watercourse, in particular, with regards to the biological diversity. In order to reduce existing discharges of polluted urban stormwater, a study has been carried out to rank subcatchment areas in descending order of magnitude and to assess possible measures. An overall ranking methodology was developed in order to identify and select the most suitable subcatchment areas for further assessment studies (74 subcatchment/drainage areas). The municipality's comprehensive geographical information system (GIS) was applied as a base for the ranking. A weighted ranking based on three selected parameters was chosen from several major influencing factors, namely total yearly discharge (kg pollution/year), specific pollution discharge (kg/area/year) and existing stormwater system (pipe lengths/area). Results show that the highest 15 ranked catchment areas accounted for 70% of the total calculated pollution load of heavy metals. The highest ranked areas are strongly influenced by three major highways. Based on the results from similar field studies, it would be possible to remove 75-85% of total solids and about 50-80% of heavy metals using wet detention ponds as Best Available Technology (BAT). Based on the final ranking, two subcatchment areas were selected for further practical assessment of possible measures. VAV plans to use wet detention ponds, in combination with other measures when relevant, to treat the urban runoff. Using calculated loading and aerial photographs (all done in the same GIS environment), a preliminary sketch design and location of ponds were performed. The resulting GIS methodology for urban stormwater management will be used as input to a holistic and long-term planning process for the management of the watercourse, taking into account future urban development and other pollution sources.

Robert Devlin presented with 2017 Presidential Rank Award for Me

NASA Image and Video Library

2018-04-23

On April 23, 2018, Todd May presented Robert (Bob) Devlin with the 2017 Presidential Rank Award for Meritorious Executive. This is the second-highest award conferred by the President of the United States. Individuals receiving this award are recognized for sustained accomplishments and no more than five percent of career SES or SL/ST members may receive this award.

An 11-Year Analysis of Black Students' Experience of Problems and Use of Services: Implications for Counseling Professionals.

ERIC Educational Resources Information Center

June, Lee N.; And Others

1990-01-01

Examined problems experienced and services used by Black college students (N=1,261) over 11 years. Found issues of finances, academic adjustment, and living conditions were ranked highest. Use of several services could be predicted by sex, classification, age, and residence, but use of services was not always consistent with rankings, particularly…

Content of redox-active compounds (ie, antioxidants) in foods consumed in the United States.

PubMed

Halvorsen, Bente L; Carlsen, Monica H; Phillips, Katherine M; Bøhn, Siv K; Holte, Kari; Jacobs, David R; Blomhoff, Rune

2006-07-01

Supplements containing ascorbic acid, alpha-tocopherol, or beta-carotene do not protect against oxidative stress-related diseases in most randomized intervention trials. We suggest that other redox-active phytochemicals may be more effective and that a combination of different redox-active compounds (ie, antioxidants or reductants) may be needed for proper protection against oxidative damage. We aimed to generate a ranked food table with values for total content of redox-active compounds to test this alternative antioxidant hypothesis. An assay that measures the total concentration of redox-active compounds above a certain cutoff reduction potential was used to analyze 1113 food samples obtained from the US Department of Agriculture National Food and Nutrient Analysis Program. Large variations in the content of antioxidants were observed in different foods and food categories. The food groups spices and herbs, nuts and seeds, berries, and fruit and vegetables all contained foods with very high antioxidant contents. Most food categories also contained products almost devoid of antioxidants. Of the 50 food products highest in antioxidant concentrations, 13 were spices, 8 were in the fruit and vegetables category, 5 were berries, 5 were chocolate-based, 5 were breakfast cereals, and 4 were nuts or seeds. On the basis of typical serving sizes, blackberries, walnuts, strawberries, artichokes, cranberries, brewed coffee, raspberries, pecans, blueberries, ground cloves, grape juice, and unsweetened baking chocolate were at the top of the ranked list. This ranked antioxidant food table provides a useful tool for investigations into the possible health benefit of dietary antioxidants.

38 CFR 61.44 - Awarding special needs grants.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) Applicants will first be grouped in categories according to the funding priorities set forth in the NOFA, if... highest-ranked applications for which funding is available, within highest priority funding category if... order, as determined under § 61.43 of this part. If funding priorities have been established and funds...

Prioritisation of food-borne parasites in Europe, 2016

PubMed Central

Bouwknegt, Martijn; Devleesschauwer, Brecht; Graham, Heather; Robertson, Lucy J; van der Giessen, Joke WB

2018-01-01

Background and aims Priority setting is a challenging task for public health professionals. To support health professionals with this and in following a recommendation from the Food and Agriculture Organization of the United Nations (FAO) and World Health Organization (WHO), 35 European parasitologists attended a workshop from 8–12 February 2016 to rank food-borne parasites (FBP) in terms of their importance for Europe and regions within Europe. Methods: Countries were divided into European regions according to those used by the European Society of Clinical Microbiology and Infectious Diseases. We used the same multicriteria decision analysis approach as the FAO/WHO, for comparison of results, and a modified version, for better regional representation. Twenty-five FBP were scored in subgroups, using predefined decision rules. Results: At the European level, Echinococcus multilocularis ranked first, followed by Toxoplasma gondii and Trichinella spiralis. At the regional level, E. multilocularis ranked highest in Northern and Eastern Europe, E. granulosus in South-Western and South-Eastern Europe, and T. gondii in Western Europe. Anisakidae, ranking 17th globally, appeared in each European region’s top 10. In contrast, Taenia solium, ranked highest globally but 10th for Europe. Conclusions: FBP of importance in Europe differ from those of importance globally, requiring targeted surveillance systems, intervention measures, and preparedness planning that differ across the world and across Europe. PMID:29510783

Development of a multicriteria assessment model for ranking biomass feedstock collection and transportation systems.

PubMed

Kumar, Amit; Sokhansanj, Shahab; Flynn, Peter C

2006-01-01

This study details multicriteria assessment methodology that integrates economic, social, environmental, and technical factors in order to rank alternatives for biomass collection and transportation systems. Ranking of biomass collection systems is based on cost of delivered biomass, quality of biomass supplied, emissions during collection, energy input to the chain operations, and maturity of supply system technologies. The assessment methodology is used to evaluate alternatives for collecting 1.8 x 10(6) dry t/yr based on assumptions made on performance of various assemblies of biomass collection systems. A proposed collection option using loafer/ stacker was shown to be the best option followed by ensiling and baling. Ranking of biomass transport systems is based on cost of biomass transport, emissions during transport, traffic congestion, and maturity of different technologies. At a capacity of 4 x 10(6) dry t/yr, rail transport was shown to be the best option, followed by truck transport and pipeline transport, respectively. These rankings depend highly on assumed maturity of technologies and scale of utilization. These may change if technologies such as loafing or ensiling (wet storage) methods are proved to be infeasible for large-scale collection systems.

Alternative Class Ranks Using Z-Scores

ERIC Educational Resources Information Center

Brown, Philip H.; Van Niel, Nicholas

2012-01-01

Grades at US colleges and universities have increased precipitously over the last 50 years, suggesting that their signalling power has become attenuated. Moreover, average grades have risen disproportionately in some departments, implying that weak students in departments with high grades may obtain better class ranks than strong students in…

Comparison of core-shell and totally porous ultra high performance liquid chromatographic stationary phases based on their selectivity towards alfuzosin compounds.

PubMed

Szulfer, Jarosław; Plenis, Alina; Bączek, Tomasz

2014-06-13

This paper focuses on the application of a column classification system based on the Katholieke Universiteit Leuven for the characterization of physicochemical properties of core-shell and ultra-high performance liquid chromatographic stationary phases, followed by the verification of the reliability of the obtained column classification in pharmaceutical practice. In the study, 7 stationary phases produced in core-shell technology and 18 ultra-high performance liquid chromatographic columns were chromatographically tested, and ranking lists were built on the FKUL-values calculated against two selected reference columns. In the column performance test, an analysis of alfuzosin in the presence of related substances was carried out using the brands of the stationary phases with the highest ranking positions. Next, a system suitability test as described by the European Pharmacopoeia monograph was performed. Moreover, a study was also performed to achieve a purposeful shortening of the analysis time of the compounds of interest using the selected stationary phases. Finally, it was checked whether methods using core-shell and ultra-high performance liquid chromatographic columns can be an interesting alternative to the high-performance liquid chromatographic method for the analysis of alfuzosin in pharmaceutical practice. Copyright © 2014 Elsevier B.V. All rights reserved.

A pilot study to assess students' perceptions, familiarity, and knowledge in the use of complementary and alternative herbal supplements in health promotion.

PubMed

Zimmerman, Caitlyn; Kandiah, Jay

2012-01-01

According to the National Center for Complementary and Alternative Medicine (NCCAM), use of herbal supplements is increasing and will continue to rise. With parents administering medicinal herbs to children as a preventive alternative to traditional drugs, the research team thought it would be interesting to assess the use of these products during the transition into adulthood through college life. This study examined participants' perceptions of, familiarity with, and knowledge of herbal supplements for health promotion. The research team invited participants to complete a 13-item Perception, Familiarity, and Knowledge Survey (PFKS). This online survey included questions regarding demographics, perceptions of complementary and alternative medicine, and familiarity with and knowledge of gingko, ginseng, St. John's wort, garlic, echinacea, and cinnamon. The study occurred at a Midwestern university. Two-hundred and eighty-six college students participated. The research team used the Chi-square test of association to examine the class rank (freshmen/sophomores, juniors/seniors, and graduate students) of students (frequency) and their gender in relation to their perceptions of, familiarity with, and knowledge of herbal supplements. Chi-square analysis showed that 80.8% of participants were familiar with complementary and alternative medicine (CAM) (P = .000). Of participants who were aware of the six herbs, a majority was familiar with ginkgo (82.4%), ginseng (96.1%), St. John's wort (78.4%), garlic (98.4%), echinacea (65.6%), and cinnamon (96.8%). Despite students' familiarity with the herbs, 45.1% to 74.1% of the participants were unsure of their effectiveness in preventing disease or promoting good health. Participants perceived the barriers to their CAM awareness as (1) insufficient education (26.0%), (2) a lack of scientific evidence (25.9%), and (3) a lack of trained professionals (17.5%). Many students (85.8%) desired educational courses on CAM therapies, with nutrition professors being ranked highest as the providers of this education by 88.0%. Over 60.0% of participants thought that conventional medicine could benefit from integration with CAM and that medical professionals should integrate CAM into health-care practices. College students appear to be highly familiar with CAM and herbal supplements but currently have little experience with and knowledge of herbal supplements.

[Lack of interest in general practice during the National Ranking Examination in 2005].

PubMed

Lanson, Yves

2006-03-01

The second national ranking test took place in 2005 in the same conditions as the year before. Analysis of the results permits us to assess whether the objectives of this reform have been met so far. Data crossing of the results provided by the national testing center allowed us to rank: 1) the appeal of specializations for each geographic subdivision, 2) the candidates by medical school, and 3) the appeal of each subdivision by candidate rank. 66% of the students were classified high enough to be able to choose any specialization. Trends observed from the first examination, in 2004, were confirmed, with the clear desirability of medical specializations and a certain lack of interest in occupational medicine and public health. All the surgery posts were filled, even though the number of posts had increased enormously since the first examination. After adjustment for the number of posts available, the specializations in decreasing order of popularity were: medical, surgical, pediatrics, anesthesiology, gynecology-obstetrics, general medicine, psychiatry, and biology. Approximately 1000 posts in general medicine were not filled. The medical schools whose students ranked highest were Paris Pitié, Paris V, Paris West, Lyon North, Grenoble, and Aix-Marseille. Some medical schools did less well than previously: Marseille very slightly and Angers substantially. Strasbourg, Nancy Amiens and Bobigny were at the bottom of the list. The cities most desired for internships were Paris, Toulouse, Lyon, and Aix-Marseille, while Brest, Nancy, Limoges and the West Indies were ranked lowest, although each was chosen by highly ranked candidate. Two thirds of the students were ranked high enough to allow them a free choice of specializations. All the specializations except public health and occupational medicine had very highly ranked students. Medical specializations are the most desired, but surgery remains highly demanded, despite a substantial increase in the number of posts. All posts were filled in all specializations, but only 41% of those in general medicine. Medical schools whose students ranked highest had the fewest students choosing general practice.

A Quantitative Approach to Determining the Ideal Female Lip Aesthetic and Its Effect on Facial Attractiveness.

PubMed

Popenko, Natalie A; Tripathi, Prem B; Devcic, Zlatko; Karimi, Koohyar; Osann, Kathryn; Wong, Brian J F

2017-07-01

Aesthetic proportions of the lips and their effect on facial attractiveness are poorly defined. Established guidelines would aid practitioners in achieving optimal aesthetic outcomes during cosmetic augmentation. To assess the most attractive lip dimensions of white women based on attractiveness ranking of surface area, ratio of upper to lower lip, and dimensions of the lip surface area relative to the lower third of the face. In phase 1 of this study, synthetic morph frontal digital images of the faces of 20 white women ages 18 to 25 years old were used to generate 5 varied lip surface areas for each face. These 100 faces were cardinally ranked by attractiveness through our developed conventional and internet-based focus groups by 150 participants. A summed ranking score of each face was plotted to quantify the most attractive surface area. In phase 2 of the study, 4 variants for each face were created with 15 of the most attractive images manipulating upper to lower lip ratios while maintaining the most attractive surface area from phase 1. A total of 60 faces were created, and each ratio was ranked by attractiveness by 428 participants (internet-based focus groups). In phase 3, the surface area from the most attractive faces was used to determine the total lip surface area relative to the lower facial third. Data were collected from March 1 to November 31, 2010, and analyzed from June 1 to October 31, 2016. Most attractive lip surface area, ratio of upper to lower lip, and dimension of the lips relative to the lower facial third. In phase 1, all 100 faces were cardinally ranked by 150 individuals (internet-based focus groups [n = 130] and raters from conventional focus groups [conventional raters] [n = 20]). In phase 2, all 60 faces were cardinally ranked by 428 participants (internet-based focus groups [n = 408] and conventional raters [n = 20]). The surface area that corresponded to the range of 2.0 to 2.5 × 104 pixels represented the highest summed rank, generating a pool of 14 images. This surface area was determined to be the most attractive and corresponded to a 53.5% increase in surface area from the original image. With the highest mean and highest proportions of most attractive rankings, the 1:2 ratio was deemed most attractive. Conversely, the ratio of 2:1 was deemed least attractive, having the lowest mean at 1.61 and the highest proportion of ranks within 1 with 310 votes (72.3%). Using a robust sample size, this study found that the most attractive lip surface area represents a 53.5% increase from baseline, an upper to lower lip ratio of 1:2, and a surface area equal to 9.6% of the lower third of the face. Lip dimensions and ratios derived in this study may provide guidelines in improving overall facial aesthetics and have clinical relevance to the field of facial plastic surgery. NA.

Ranking Iranian biomedical research centers according to H-variants (G, M, A, R) in Scopus and Web of Science.

PubMed

Mahmudi, Zoleikha; Tahamtan, Iman; Sedghi, Shahram; Roudbari, Masoud

2015-01-01

We conducted a comprehensive bibliometrics analysis to calculate the H, G, M, A and R indicators for all Iranian biomedical research centers (IBRCs) from the output of ISI Web of Science (WoS) and Scopus between 1991 and 2010. We compared the research performance of the research centers according to these indicators. This was a cross-sectional and descriptive-analytical study, conducted on 104 Iranian biomedical research centers between August and September 2011. We collected our data through Scopus and WoS. Pearson correlation coefficient between the scientometrics indicators was calculated using SPSS, version 16. The mean values of all indicators were higher in Scopus than in WoS. Drug Applied Research Center of Tabriz University of Medical Sciences had the highest number of publications in both WoS and Scopus databases. This research center along with Royan Institute received the highest number of citations in both Scopus and WoS, respectively. The highest correlation was seen between G and R (.998) in WoS and between G and R (.990) in Scopus. Furthermore, the highest overlap of the 10 top IBRCs was between G and H in WoS (100%) and between G-R (90%) and H-R (90%) in Scopus. Research centers affiliated to the top ranked Iranian medical universities obtained a better position with respect to the studied scientometrics indicators. All aforementioned indicators are important for ranking bibliometrics studies as they refer to different attributes of scientific output and citation aspects.

Comparison of health care professionals' self-assessments of standards of care and patients' opinions on the care they received in hospital: observational study

PubMed Central

Durieux, P; Bissery, A; Dubois, S; Gasquet, I; Coste, J

2004-01-01

Objectives: To compare the views of healthcare professionals and patients regarding compliance with standards of care concerning patient information. Design: Self-rated questionnaire survey. Setting: Nine wards in short stay French hospitals. Participants: 939 patients and 359 healthcare professionals (physicians, nurses, assistants and other professionals). Main outcome measure: Patients' and healthcare professionals' views of compliance with 20 standards of patient care described in the French accreditation manual. Comparison of the rank order of the standards within the two samples. Results: The response rate was 61.5% in the patient group and 85.8% in the healthcare professionals. The rank orders for the 20 items were similar in both groups (Spearman rank order correlation 0.6, p = 0.004). The two items ranked highest by healthcare professionals ("consent request for a surgical procedure" and "the doctors ask the visitors to leave the room before examining a patient") were also the two ranked highest by the patients. Three items were ranked low by both groups: "consent request for students to be present", "health education given to patients", and "possibility to express satisfaction during discharge". Patients were more satisfied with their pain management than were healthcare providers. Professionals were more satisfied with the social services than the patients. Conclusion: There are both similarities and differences between patients' and healthcare professionals' views of care. Accurate assessments of quality performed during the accreditation procedure require that both patients' and professionals' views be taken into account. PMID:15175490

Multiple morbidity combinations impact on medical expenditures among older adults.

PubMed

Chi, Mei-ju; Lee, Cheng-yi; Wu, Shwu-chong

2011-01-01

This study aims to explore the medical needs of patients who have different combinations of multiple chronic diseases in order to improve care strategy for chronic patients. This study was based on a national probability proportional to size (PPS) sampling to older adults over 50 years old. We collaborated the files of the 2000-2001 health insurance claims and selected 8 types of common chronic diseases among seniors, for the discussion of multiple combinations of chronic diseases, including hypertension, diabetes, heart disease, stroke, dementia, cancer, arthritis and chronic obstructive pulmonary disease. Among the NHI users, there are 50.6% of the cases suffering from at least one chronic disease, 27.3% suffering from two types of chronic diseases and above. From possible combinations of eight common chronic diseases, it is found hypertension has the highest prevalence rate (7.5%); arthritis ranks the next (6.2%); the combination of hypertension and heart disease ranks the third (3.4%). In the 22 types of major chronic disease clusters, the average total medical expense for people who have five or more chronic diseases ranks the highest, USD 4465; the combination of hypertension, diabetes, heart disease, and arthritis ranks the next, USD 2703; the combination of hypertension, diabetes, and heart disease ranks the third, USD 2550; cancer only ranks the fourth, USD 2487. Our study may provide statistical data concerning co-morbidity among older adults and their medical needs. Through our analysis, the major population that exhausts the medical resources may be discovered. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

A research agenda for gastrointestinal and endoscopic surgery.

PubMed

Urbach, D R; Horvath, K D; Baxter, N N; Jobe, B A; Madan, A K; Pryor, A D; Khaitan, L; Torquati, A; Brower, S T; Trus, T L; Schwaitzberg, S

2007-09-01

Development of a research agenda may help to inform researchers and research-granting agencies about the key research gaps in an area of research and clinical care. The authors sought to develop a list of research questions for which further research was likely to have a major impact on clinical care in the area of gastrointestinal and endoscopic surgery. A formal group process was used to conduct an iterative, anonymous Web-based survey of an expert panel including the general membership of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES). In round 1, research questions were solicited, which were categorized, collapsed, and rewritten in a common format. In round 2, the expert panel rated all the questions using a priority scale ranging from 1 (lowest) to 5 (highest). In round 3, the panel re-rated the 40 questions with the highest mean priority score in round 2. A total of 241 respondents to round 1 submitted 382 questions, which were reduced by a review panel to 106 unique questions encompassing 33 topics in gastrointestinal and endoscopic surgery. In the two successive rounds, respectively, 397 and 385 respondents ranked the questions by priority, then re-ranked the 40 questions with the highest mean priority score. High-priority questions related to antireflux surgery, the oncologic and immune effects of minimally invasive surgery, and morbid obesity. The question with the highest mean priority ranking was: "What is the best treatment (antireflux surgery, endoluminal therapy, or medication) for GERD?" The second highest-ranked question was: "Does minimally invasive surgery improve oncologic outcomes as compared with open surgery?" Other questions covered a broad range of research areas including clinical research, basic science research, education and evaluation, outcomes measurement, and health technology assessment. An iterative, anonymous group survey process was used to develop a research agenda for gastrointestinal and endoscopic surgery consisting of the 40 most important research questions in the field. This research agenda can be used by researchers and research-granting agencies to focus research activity in the areas most likely to have an impact on clinical care, and to appraise the relevance of scientific contributions.

Spaceborne power systems preference analyses. Volume 1: Summary

NASA Technical Reports Server (NTRS)

Smith, J. H.; Feinberg, A.; Miles, R. F., Jr.

1985-01-01

Sixteen alternative spaceborne nuclear power system concepts were ranked using multiattribute decision analysis to identify promising concepts for further technology development. Four groups interviewed were: safety, systems definition and design, technology assessment, and mission analysis. The ranking results were consistent from group and for different utility function models for individuals.

Toward Developing an Unbiased Scoring Algorithm for "NASA" and Similar Ranking Tasks.

ERIC Educational Resources Information Center

Lane, Irving M.; And Others

1981-01-01

Presents both logical and empirical evidence to illustrate that the conventional scoring algorithm for ranking tasks significantly underestimates the initial level of group ability and that Slevin's alternative scoring algorithm significantly overestimates the initial level of ability. Presents a modification of Slevin's algorithm which authors…

Efficiently Ranking Hyphotheses in Machine Learning

NASA Technical Reports Server (NTRS)

Chien, Steve

1997-01-01

This paper considers the problem of learning the ranking of a set of alternatives based upon incomplete information (e.g. a limited number of observations). At each decision cycle, the system can output a complete ordering on the hypotheses or decide to gather additional information (e.g. observation) at some cost.

Assessment of Service Quality in Teaching Hospitals of Yazd University of Medical Sciences: Using Multi-criteria Decision Making Techniques.

PubMed

Shafii, Milad; Rafiei, Sima; Abooee, Fatemeh; Bahrami, Mohammad Amin; Nouhi, Mojtaba; Lotfi, Farhad; Khanjankhani, Khatere

2016-08-01

Hospitals as integrated parts of the wide-ranging health care systems have dominant focus on health care provision to meet, maintain and promote people's health needs of a community. This study aimed to assess the service quality of teaching hospitals of Yazd University of Medical Sciences using Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). A literature review and a qualitative method were used to obtain experts' viewpoints about the quality dimensions of hospital services to design a questionnaire. Then, using a self-made questionnaire, perceptions of 300 patients about the quality of delivered services were gathered. Finally, FAHP was applied to weigh each quality dimension and TOPSIS method to rank hospital wards. Six dimensions including responsiveness, assurance, security, tangibles, health communication and Patient orientation were identified as affecting aspects of hospital services quality among which, security and tangibles got the highest and lowest importance respectively (0.25406, 0.06883). Findings also revealed that in hospital A, orthopedics and ophthalmology wards obtained the highest score in terms of quality while cardiology department got the lowest ranking (0.954, 0.323). In hospital B, the highest and the lowest ranking was belonged to cardiology and surgical wards (0.895, 0.00) while in hospital C, surgical units were rated higher than internal wards (0.959, 0.851). Findings emphasized that the security dimension got the lowest ranking among SERVQUAL facets in studied hospitals. This requires hospital executives to pay special attention to the issue of patients' security and plan effectively for its promotion.

Global research priorities for interpersonal violence prevention: a modified Delphi study.

PubMed

Mikton, Christopher R; Tanaka, Masako; Tomlinson, Mark; Streiner, David L; Tonmyr, Lil; Lee, Bandy X; Fisher, Jane; Hegadoren, Kathy; Pim, Joam Evans; Wang, Shr-Jie Sharlenna; MacMillan, Harriet L

2017-01-01

To establish global research priorities for interpersonal violence prevention using a systematic approach. Research priorities were identified in a three-round process involving two surveys. In round 1, 95 global experts in violence prevention proposed research questions to be ranked in round 2. Questions were collated and organized according to the four-step public health approach to violence prevention. In round 2, 280 international experts ranked the importance of research in the four steps, and the various substeps, of the public health approach. In round 3, 131 international experts ranked the importance of detailed research questions on the public health step awarded the highest priority in round 2. In round 2, "developing, implementing and evaluating interventions" was the step of the public health approach awarded the highest priority for four of the six types of violence considered (i.e. child maltreatment, intimate partner violence, armed violence and sexual violence) but not for youth violence or elder abuse. In contrast, "scaling up interventions and evaluating their cost-effectiveness" was ranked lowest for all types of violence. In round 3, research into "developing, implementing and evaluating interventions" that addressed parenting or laws to regulate the use of firearms was awarded the highest priority. The key limitations of the study were response and attrition rates among survey respondents. However, these rates were in line with similar priority-setting exercises. These findings suggest it is premature to scale up violence prevention interventions. Developing and evaluating smaller-scale interventions should be the funding priority.

Global research priorities for interpersonal violence prevention: a modified Delphi study

PubMed Central

Tanaka, Masako; Tomlinson, Mark; Streiner, David L; Tonmyr, Lil; Lee, Bandy X; Fisher, Jane; Hegadoren, Kathy; Pim, Joam Evans; Wang, Shr-Jie Sharlenna; MacMillan, Harriet L

2017-01-01

Abstract Objective To establish global research priorities for interpersonal violence prevention using a systematic approach. Methods Research priorities were identified in a three-round process involving two surveys. In round 1, 95 global experts in violence prevention proposed research questions to be ranked in round 2. Questions were collated and organized according to the four-step public health approach to violence prevention. In round 2, 280 international experts ranked the importance of research in the four steps, and the various substeps, of the public health approach. In round 3, 131 international experts ranked the importance of detailed research questions on the public health step awarded the highest priority in round 2. Findings In round 2, “developing, implementing and evaluating interventions” was the step of the public health approach awarded the highest priority for four of the six types of violence considered (i.e. child maltreatment, intimate partner violence, armed violence and sexual violence) but not for youth violence or elder abuse. In contrast, “scaling up interventions and evaluating their cost–effectiveness” was ranked lowest for all types of violence. In round 3, research into “developing, implementing and evaluating interventions” that addressed parenting or laws to regulate the use of firearms was awarded the highest priority. The key limitations of the study were response and attrition rates among survey respondents. However, these rates were in line with similar priority-setting exercises. Conclusion These findings suggest it is premature to scale up violence prevention interventions. Developing and evaluating smaller-scale interventions should be the funding priority. PMID:28053363

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

Sparks, W.E. Jr.

One of Exxon`s goals is to pursue the highest quality exploration opportunities worldwide. To accomplish this goal, we use an approach that allows us to systematically compare the different exploration areas worldwide in order to identify and focus on the highest quality basins and plays, prioritize investment opportunities that are identified in these areas, and allocate our resources appropriately. The process begins with the development of a list of basins that are ranked according to their assessed undiscovered potential and the geotechnical characteristics of their hydrocarbon systems. This basin scale seriatim or rank list is then used to identify themore » highest quality {open_quotes}focus{close_quotes} plays within the higher potential basins and hydrocarbon systems. The ranked list of basins and plays becomes the foundation for development of an {open_quotes}Opportunity Seriatim.{close_quotes} There are three principal components incorporated into Exxon`s Opportunity Seriatim: (1) Geotechnical appraisal - How good is the resource?, (2) Accessibility - Can we or will we be able to access the resource?, and (3) Economics - will we make an acceptable profit if we access the resource? After these components are considered, additional adjustments are made to the Opportunity Seriatim. The Opportunity Seriatim is then used to develop strategies which are globally consistent to build and maintain a broad portfolio of the highest quality opportunities, and finally, to select the best quality prospects in our highest quality plays for funding. Prospects are selected based on risk vs. reward ratio, drilling commitments, and appropriate economic yardsticks. Using this process, Exxon has steadily improved its exploration performance. Over the last ten years, the volume of reserves Exxon discovers has increased, our drilling success rate has improved substantially, and our finding costs have continued to fall.« less

Assessing environmental attitudes and concerns about a contaminated site in a densely populated suburban environment.

PubMed

Burger, Joanna

2005-02-01

Considerable attention has been devoted to the concerns and perceptions of people residing around contaminated facilities, both brownfields in urban areas and others located in remote and lightly populated areas. This paper examines the concerns of recreationists and sportsmen residing near the Department of Energy's (DOE) Brookhaven National Laboratory, in central Long Island, one of the most densely populated regions in the United States, where tourism is of prime importance. On an open-ended question, the greatest concern was pollution, followed by environmental health as a global concern, and human health as a concern for Brookhaven. Accidents/spills, loss of public health, and loss of ecological health were rated highest among a list of concerns, and change in property values was rated lowest. When asked to rank seven concerns, protecting human health was ranked the highest, and economic interests were ranked the lowest. For future land use at Brookhaven, recreational uses were rated the highest, while building houses and factories, and storage of nuclear material were rated the lowest. These data can be used by managers, decision and policy makers, and the general public to assess and manage local and regional environmental concerns and to consider future land uses for decommissioned lands, such as those at Brookhaven.

Gender differences in structured risk assessment: comparing the accuracy of five instruments.

PubMed

Coid, Jeremy; Yang, Min; Ullrich, Simone; Zhang, Tianqiang; Sizmur, Steve; Roberts, Colin; Farrington, David P; Rogers, Robert D

2009-04-01

Structured risk assessment should guide clinical risk management, but it is uncertain which instrument has the highest predictive accuracy among men and women. In the present study, the authors compared the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991, 2003); the Historical, Clinical, Risk Management-20 (HCR-20; C. D. Webster, K. S. Douglas, D. Eaves, & S. D. Hart, 1997); the Risk Matrix 2000-Violence (RM2000[V]; D. Thornton et al., 2003); the Violence Risk Appraisal Guide (VRAG; V. L. Quinsey, G. T. Harris, M. E. Rice, & C. A. Cormier, 1998); the Offenders Group Reconviction Scale (OGRS; J. B. Copas & P. Marshall, 1998; R. Taylor, 1999); and the total previous convictions among prisoners, prospectively assessed prerelease. The authors compared predischarge measures with subsequent offending and instruments ranked using multivariate regression. Most instruments demonstrated significant but moderate predictive ability. The OGRS ranked highest for violence among men, and the PCL-R and HCR-20 H subscale ranked highest for violence among women. The OGRS and total previous acquisitive convictions demonstrated greatest accuracy in predicting acquisitive offending among men and women. Actuarial instruments requiring no training to administer performed as well as personality assessment and structured risk assessment and were superior among men for violence.

Improving average ranking precision in user searches for biomedical research datasets

PubMed Central

Gobeill, Julien; Gaudinat, Arnaud; Vachon, Thérèse; Ruch, Patrick

2017-01-01

Abstract Availability of research datasets is keystone for health and life science study reproducibility and scientific progress. Due to the heterogeneity and complexity of these data, a main challenge to be overcome by research data management systems is to provide users with the best answers for their search queries. In the context of the 2016 bioCADDIE Dataset Retrieval Challenge, we investigate a novel ranking pipeline to improve the search of datasets used in biomedical experiments. Our system comprises a query expansion model based on word embeddings, a similarity measure algorithm that takes into consideration the relevance of the query terms, and a dataset categorization method that boosts the rank of datasets matching query constraints. The system was evaluated using a corpus with 800k datasets and 21 annotated user queries, and provided competitive results when compared to the other challenge participants. In the official run, it achieved the highest infAP, being +22.3% higher than the median infAP of the participant’s best submissions. Overall, it is ranked at top 2 if an aggregated metric using the best official measures per participant is considered. The query expansion method showed positive impact on the system’s performance increasing our baseline up to +5.0% and +3.4% for the infAP and infNDCG metrics, respectively. The similarity measure algorithm showed robust performance in different training conditions, with small performance variations compared to the Divergence from Randomness framework. Finally, the result categorization did not have significant impact on the system’s performance. We believe that our solution could be used to enhance biomedical dataset management systems. The use of data driven expansion methods, such as those based on word embeddings, could be an alternative to the complexity of biomedical terminologies. Nevertheless, due to the limited size of the assessment set, further experiments need to be performed to draw conclusive results. Database URL: https://biocaddie.org/benchmark-data PMID:29220475

Selection of the open pit mining cut-off grade strategy under price uncertainty using a risk based multi-criteria ranking system / Wybór strategii określania warunku opłacalności wydobycia w kopalniach odkrywkowych w warunkach niepewności cen w oparciu o wielokryterialny system rankingowy z uwzględnieniem czynników ryzyka

NASA Astrophysics Data System (ADS)

Azimi, Yousue; Osanloo, Montza; Esfahanipour, Akbar

2012-12-01

Cut-off Grade Strategy (COGS) is a concept that directly influences the financial, technical, economic, environmental, and legal issues in relation to exploitation of a mineral resource. A decision making system is proposed to select the best technically feasible COGS under price uncertainty. In the proposed system both the conventional discounted cash flow and modern simulation based real option valuations are used to evaluate the alternative strategies. Then the conventional expected value criterion and a multiple criteria ranking system were used to rank the strategies based on the two valuation methods. In the multiple criteria ranking system besides the expected value other stochastic orders expressing abilities of strategies in producing extra profits, minimizing losses and achieving the predefined goals of the exploitation strategy are considered. Finally, the best strategy is selected based on the overall average rank of strategies through all ranking systems. The proposed system was examined using the data of Sungun Copper Mine. To assess the merits of the alternatives better, ranking process was done at both high (prevailing economic condition) and low price conditions. Ranking results revealed that at different price conditions and valuation methods, different results would be obtained. It is concluded that these differences are due to the different behavior of the embedded option to close the mine early, which is more likely to be exercised under low price condition rather than high price condition. The proposed system would enhance the quality of decision making process by providing a more informative and certain platform for project evaluation.

Multiple graph regularized protein domain ranking.

PubMed

Wang, Jim Jing-Yan; Bensmail, Halima; Gao, Xin

2012-11-19

Protein domain ranking is a fundamental task in structural biology. Most protein domain ranking methods rely on the pairwise comparison of protein domains while neglecting the global manifold structure of the protein domain database. Recently, graph regularized ranking that exploits the global structure of the graph defined by the pairwise similarities has been proposed. However, the existing graph regularized ranking methods are very sensitive to the choice of the graph model and parameters, and this remains a difficult problem for most of the protein domain ranking methods. To tackle this problem, we have developed the Multiple Graph regularized Ranking algorithm, MultiG-Rank. Instead of using a single graph to regularize the ranking scores, MultiG-Rank approximates the intrinsic manifold of protein domain distribution by combining multiple initial graphs for the regularization. Graph weights are learned with ranking scores jointly and automatically, by alternately minimizing an objective function in an iterative algorithm. Experimental results on a subset of the ASTRAL SCOP protein domain database demonstrate that MultiG-Rank achieves a better ranking performance than single graph regularized ranking methods and pairwise similarity based ranking methods. The problem of graph model and parameter selection in graph regularized protein domain ranking can be solved effectively by combining multiple graphs. This aspect of generalization introduces a new frontier in applying multiple graphs to solving protein domain ranking applications.

Multiple graph regularized protein domain ranking

PubMed Central

2012-01-01

Background Protein domain ranking is a fundamental task in structural biology. Most protein domain ranking methods rely on the pairwise comparison of protein domains while neglecting the global manifold structure of the protein domain database. Recently, graph regularized ranking that exploits the global structure of the graph defined by the pairwise similarities has been proposed. However, the existing graph regularized ranking methods are very sensitive to the choice of the graph model and parameters, and this remains a difficult problem for most of the protein domain ranking methods. Results To tackle this problem, we have developed the Multiple Graph regularized Ranking algorithm, MultiG-Rank. Instead of using a single graph to regularize the ranking scores, MultiG-Rank approximates the intrinsic manifold of protein domain distribution by combining multiple initial graphs for the regularization. Graph weights are learned with ranking scores jointly and automatically, by alternately minimizing an objective function in an iterative algorithm. Experimental results on a subset of the ASTRAL SCOP protein domain database demonstrate that MultiG-Rank achieves a better ranking performance than single graph regularized ranking methods and pairwise similarity based ranking methods. Conclusion The problem of graph model and parameter selection in graph regularized protein domain ranking can be solved effectively by combining multiple graphs. This aspect of generalization introduces a new frontier in applying multiple graphs to solving protein domain ranking applications. PMID:23157331

Ranking of sabotage/tampering avoidance technology alternatives

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

Andrews, W.B.; Tabatabai, A.S.; Powers, T.B.

1986-01-01

Pacific Northwest Laboratory conducted a study to evaluate alternatives to the design and operation of nuclear power plants, emphasizing a reduction of their vulnerability to sabotage. Estimates of core melt accident frequency during normal operations and from sabotage/tampering events were used to rank the alternatives. Core melt frequency for normal operations was estimated using sensitivity analysis of results of probabilistic risk assessments. Core melt frequency for sabotage/tampering was estimated by developing a model based on probabilistic risk analyses, historic data, engineering judgment, and safeguards analyses of plant locations where core melt events could be initiated. Results indicate the most effectivemore » alternatives focus on large areas of the plant, increase safety system redundancy, and reduce reliance on single locations for mitigation of transients. Less effective options focus on specific areas of the plant, reduce reliance on some plant areas for safe shutdown, and focus on less vulnerable targets.« less

Screening of groundwater remedial alternatives for brownfield sites: a comprehensive method integrated MCDA with numerical simulation.

PubMed

Li, Wei; Zhang, Min; Wang, Mingyu; Han, Zhantao; Liu, Jiankai; Chen, Zhezhou; Liu, Bo; Yan, Yan; Liu, Zhu

2018-06-01

Brownfield sites pollution and remediation is an urgent environmental issue worldwide. The screening and assessment of remedial alternatives is especially complex owing to its multiple criteria that involves technique, economy, and policy. To help the decision-makers selecting the remedial alternatives efficiently, the criteria framework conducted by the U.S. EPA is improved and a comprehensive method that integrates multiple criteria decision analysis (MCDA) with numerical simulation is conducted in this paper. The criteria framework is modified and classified into three categories: qualitative, semi-quantitative, and quantitative criteria, MCDA method, AHP-PROMETHEE (analytical hierarchy process-preference ranking organization method for enrichment evaluation) is used to determine the priority ranking of the remedial alternatives and the solute transport simulation is conducted to assess the remedial efficiency. A case study was present to demonstrate the screening method in a brownfield site in Cangzhou, northern China. The results show that the systematic method provides a reliable way to quantify the priority of the remedial alternatives.

The Global Quest to Build World-Class Universities: Toward a Social Justice Agenda

ERIC Educational Resources Information Center

Rhoads, Robert A.; Li, Shuai; Ilano, Lauren

2014-01-01

This chapter provides a critical perspective on the global quest to build world-class universities (WCUs), including global "ranking mania," excessive emphasis on university branding, and the attending threats to the traditional public good mission of the university. Alternatively, we offer suggestions on how rankings may be used to…

Quality Australian Journals in the Humanities and Social Sciences

ERIC Educational Resources Information Center

Haddow, Gaby

2008-01-01

A pilot study was undertaken to test the journal diffusion factor (JDF) as an alternative to journal impact factors (JIFs) for ranking journals. Bibliometric research methods were applied to rank Australian architecture, communications and education journals by the JDF; this was with the total number of citations they attract in ISI indexed…

Core journals that publish clinical trials of physical therapy interventions.

PubMed

Costa, Leonardo Oliveira Pena; Moseley, Anne M; Sherrington, Catherine; Maher, Christopher G; Herbert, Robert D; Elkins, Mark R

2010-11-01

The objective of this study was to identify core journals in physical therapy by identifying those that publish the most randomized controlled trials of physical therapy interventions, provide the highest-quality reports of randomized controlled trials, and have the highest journal impact factors. This study was an audit of a bibliographic database. All trials indexed in the Physiotherapy Evidence Database (PEDro) were analyzed. Journals that had published at least 80 trials were selected. The journals were ranked in 4 ways: number of trials published; mean total PEDro score of the trials published in the journal, regardless of publication year; mean total PEDro score of the trials published in the journal from 2000 to 2009; and 2008 journal impact factor. The top 5 core journals in physical therapy, ranked by the total number of trials published, were Archives of Physical Medicine and Rehabilitation, Clinical Rehabilitation, Spine, British Medical Journal (BMJ), and Chest. When the mean total PEDro score was used as the ranking criterion, the top 5 journals were Journal of Physiotherapy, Journal of the American Medical Association (JAMA), Stroke, Spine, and Clinical Rehabilitation. When the mean total PEDro score of the trials published from 2000 to 2009 was used as the ranking criterion, the top 5 journals were Journal of Physiotherapy, JAMA, Lancet, BMJ, and Pain. The most highly ranked physical therapy-specific journals were Physical Therapy (ranked eighth on the basis of the number of trials published) and Journal of Physiotherapy (ranked first on the basis of the quality of trials). Finally, when the 2008 impact factor was used for ranking, the top 5 journals were JAMA, Lancet, BMJ, American Journal of Respiratory and Critical Care Medicine, and Thorax. There were no significant relationships among the rankings on the basis of trial quality, number of trials, or journal impact factor. Physical therapists who are trying to keep up-to-date by reading the best available evidence on the effects of physical therapy interventions have to read more broadly than just physical therapy-specific journals. Readers of articles on physical therapy trials should be aware that high-quality trials are not necessarily published in journals with high impact factors.

Are US degree-granting institutions associated with better community health determinants and outcomes?

PubMed

Spaulding, A; Stallings-Smith, S; Mease, A; Spaulding, A; Apatu, E

2018-06-16

The impact of individual education level on health outcomes is well-established, but the effect of degree-granting institutions on county health rankings (CHRs) is unknown. The objective of this study is to determine if there is an association between the presence of degree-granting institutions and CHRs. This is an ecologic study. Data for 3062 counties were derived from the Robert Wood Johnson County Health Rankings and the Integrated Postsecondary Education Data System for year 2016. Ordinal logistic regression was utilized to determine the association between presence of a degree-granting institution and county rankings for health behaviors, health outcomes, clinical care, social and economic factors, and physical environment. All models were adjusted for potential confounding factors including age, sex, race/ethnicity, English language proficiency, and urban/rural location. The presence of a degree-granting institution was positively associated with CHRs for length of life (odds ratio [OR] = 1.28; 95% confidence interval [CI]: 1.05, 1.58), health behaviors (OR = 1.46; 95% CI: 1.19, 1.79), and clinical care (OR = 1.36; 95% CI: 1.11, 1.67). Counties with the highest rankings in one health category were more likely to score in the highest rankings for other health categories. These findings suggest that degree-granting institutions are associated with CHRs. Partnerships between public health agencies and degree-granting institutions are recommended to improve population health. Copyright © 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Alternative Maternity Services in Washington State.

ERIC Educational Resources Information Center

Starzyk, Patricia M.

The nature of maternity services has changed in the past 20 years, with a movement away from traditional (physician delivery in a hospital) towards other alternative services. This study examined alternative maternity services in Washington State, which ranks eighth in the country in the use of such services. Data were collected from birth and…

Supplier selection in supply chain management using analytical network process for Indonesian cement industry

NASA Astrophysics Data System (ADS)

Ismail, A. H.; Mahardika, R. Z. Z.

2017-12-01

Supply chain management has increased more significance with the impact of globalization. In the present worldwide market, well-managed supply chain is a standout amongst the most vital requirement to be more competitive in the market. For any organization incorporate cement industry, the most critical decision in initial process of supply chain management is to buy products, materials or services from suppliers. So the role of suppliers is irrefutable important in the global aggressive markets. Appropriate decision of supplier selection can lead to reducing cost in supply chain management. However, it is becoming more complex because of existing various criteria and involving the suitable experts in the company to make valid decision in accordance with its criteria. In this study, the supplier selection of an Indonesia’s leading cement company is analyzed by using one of the popular multi-criteria decision making method, Saaty’s analytical network process (ANP). It is employed for the selection of the best alternative among three suppliers of pasted bag. Supplier with the highest rank comes from several major steps from building the relationship between various criteria to rating the alternatives with the help of experts from the company. The results show that, Communication capability, Flexible payment terms, Ability to meet delivery quantities are the most important criteria in the pasted bag supplier selection in Indonesian cement industry with 0.155, 0.110 and 0.1 ANP coefficient respectively. And based on the ANP coefficient values in limit supermatrix, the A2 or supplier 2 had the highest score with 64.7% or 0.13 ANP coefficient.

A JBHE Report Card on the Progress of Blacks on the Faculties of the Nation's Highest-Ranked Colleges and Universities.

ERIC Educational Resources Information Center

Journal of Blacks in Higher Education, 2002

2002-01-01

The percentage of black faculty at high-ranking U.S. colleges and universities is up slightly from percentages seen in previous surveys, comprising 3.6 percent of 40,747 full-time faculty overall. Liberal arts colleges are more successful in attracting black faculty than large research universities. Tenured black faculty make up 2.5 percent of all…

Thalamo-Sensorimotor Functional Connectivity Correlates with World Ranking of Olympic, Elite, and High Performance Athletes.

PubMed

Huang, Zirui; Davis, Henry Hap; Wolff, Annemarie; Northoff, Georg

2017-01-01

Brain plasticity studies have shown functional reorganization in participants with outstanding motor expertise. Little is known about neural plasticity associated with exceptionally long motor training or of its predictive value for motor performance excellence. The present study utilised resting-state functional magnetic resonance imaging (rs-fMRI) in a unique sample of world-class athletes: Olympic, elite, and internationally ranked swimmers ( n = 30). Their world ranking ranged from 1st to 250th: each had prepared for participation in the Olympic Games. Combining rs-fMRI graph-theoretical and seed-based functional connectivity analyses, it was discovered that the thalamus has its strongest connections with the sensorimotor network in elite swimmers with the highest world rankings (career best rank: 1-35). Strikingly, thalamo-sensorimotor functional connections were highly correlated with the swimmers' motor performance excellence, that is, accounting for 41% of the individual variance in best world ranking. Our findings shed light on neural correlates of long-term athletic performance involving thalamo-sensorimotor functional circuits.

The exact probability distribution of the rank product statistics for replicated experiments.

PubMed

Eisinga, Rob; Breitling, Rainer; Heskes, Tom

2013-03-18

The rank product method is a widely accepted technique for detecting differentially regulated genes in replicated microarray experiments. To approximate the sampling distribution of the rank product statistic, the original publication proposed a permutation approach, whereas recently an alternative approximation based on the continuous gamma distribution was suggested. However, both approximations are imperfect for estimating small tail probabilities. In this paper we relate the rank product statistic to number theory and provide a derivation of its exact probability distribution and the true tail probabilities. Copyright © 2013 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Prioritizing industries for occupational injury and illness prevention and research, Washington State Workers' compensation claims, 1999-2003.

PubMed

Bonauto, David; Silverstein, Barbara; Adams, Darrin; Foley, Michael

2006-08-01

The objective of this study was to identify high-risk industry groups for effective allocation of occupational safety and health prevention and research resources. We used all compensable Washington state workers' compensation claims to rank North American Industry Classification System (NAICS) industry groups by a "prevention index" (PI). The PI is the average of the rank orders of each industry group's claim count and claim incidence rate. Of the 274 industry groups ranked by PI for all compensable workers' compensation claims, the following industry groups ranked the highest: NAICS 2381 Foundation, Structure, and Building Exterior Contractors, NAICS 4841 General Freight Trucking, and NAICS 2361 Residential Building Construction. Industry group PI rankings are reported for the seven most common costly occupational injury types. Use of a PI can focus prevention and research resources where they can be of most benefit.

Can nurse innovation improve customer perception of service quality and experience?

PubMed

Weng, Rhay-Hung; Chen, Wan-Ping; Huang, Ching-Yuan; Hung, Chiu-Hsia; Hsu, Ching-Tai

2016-07-01

This study aimed to clarify how nurse innovation is related to customer perception of medical service quality and experience. Recently, many hospitals have put much emphasis upon the development of nurse innovation. A cross-sectional study was employed. This study adopted questionnaire survey method with nurses and customers of the inpatient wards from three Taiwanese hospitals as the research subjects. After pairing, there were 294 valid questionnaires. Hierarchical regression analysis was utilised to test the possible impact of nurse innovation on medical service quality and experience. In terms of the dimensions of nurse innovation, 'innovation behaviour' ranked the highest (3·24), followed by knowledge creation and innovation diffusion; in terms of the degree of the medical service quality, 'reliability' ranked the highest (4·35). As for the degree of the medical service experience, 'feel experience' ranked the highest (4·44). All dimensions of nurse innovation have no significant effects on medical service quality and experience. Of these three dimensions of nurse innovation, the level of innovation behaviour was perceived by the nurses as the highest. The study found that nurse innovation has no significant effects on customer perception of service quality and experience. Hospitals shall provide sufficient resources and budget for fostering innovation development and encourage their nurses to develop nursing innovation for patents. The education and training courses on 'patient-centred' shall be enhanced among hospital nurses. Healthcare managers shall also explore the difficulties about innovation diffusion and find the solutions for nurses. © 2016 John Wiley & Sons Ltd.

Ranking Iranian biomedical research centers according to H-variants (G, M, A, R) in Scopus and Web of Science

PubMed Central

Mahmudi, Zoleikha; Tahamtan, Iman; Sedghi, Shahram; Roudbari, Masoud

2015-01-01

Background: We conducted a comprehensive bibliometrics analysis to calculate the H, G, M, A and R indicators for all Iranian biomedical research centers (IBRCs) from the output of ISI Web of Science (WoS) and Scopus between 1991 and 2010. We compared the research performance of the research centers according to these indicators. Methods: This was a cross-sectional and descriptive-analytical study, conducted on 104 Iranian biomedical research centers between August and September 2011. We collected our data through Scopus and WoS. Pearson correlation coefficient between the scientometrics indicators was calculated using SPSS, version 16. Results: The mean values of all indicators were higher in Scopus than in WoS. Drug Applied Research Center of Tabriz University of Medical Sciences had the highest number of publications in both WoS and Scopus databases. This research center along with Royan Institute received the highest number of citations in both Scopus and WoS, respectively. The highest correlation was seen between G and R (.998) in WoS and between G and R (.990) in Scopus. Furthermore, the highest overlap of the 10 top IBRCs was between G and H in WoS (100%) and between G-R (90%) and H-R (90%) in Scopus. Conclusion: Research centers affiliated to the top ranked Iranian medical universities obtained a better position with respect to the studied scientometrics indicators. All aforementioned indicators are important for ranking bibliometrics studies as they refer to different attributes of scientific output and citation aspects. PMID:26478875

Effect of disinfection on irreversible hydrocolloid and alternative impression materials and the resultant gypsum casts.

PubMed

Suprono, Montry S; Kattadiyil, Mathew T; Goodacre, Charles J; Winer, Myron S

2012-10-01

Many new products have been introduced and marketed as alternatives to traditional irreversible hydrocolloid materials. These alternative materials have the same structural formula as addition reaction silicone, also known as vinyl polysiloxane (VPS), impression materials. Currently, there is limited in vitro and in vivo research on these products, including on the effects of chemical disinfectants on the materials. The purpose of this study was to compare the effects of a spray disinfecting technique on a traditional irreversible hydrocolloid and 3 new alternative impression materials in vitro. The tests were performed in accordance with the American National Standards Institute/American Dental Association (ANSI/ADA) Specification Nos. 18 and 19. Under standardized conditions, 100 impressions were made of a ruled test block with an irreversible hydrocolloid and 3 alternative impression materials. Nondisinfected irreversible hydrocolloid was used as the control. The impressions were examined for surface detail reproduction before and after disinfection with a chloramine-T product. Type III and Type V dental stone casts were evaluated for linear dimensional change and gypsum compatibility. Comparisons of linear dimensional change were analyzed with 2-way ANOVA of mean ranks with the Scheffé post hoc comparisons (α=.05). Data for surface detail reproduction were analyzed with the Wilcoxon Signed-Rank procedure and gypsum compatibility with the Kruskal-Wallis Rank procedure (α=.05). The alternative impression materials demonstrated significantly better outcomes with all 3 parameters tested. Disinfection with chloroamine-T did not have any effect on the 3 alternative impression materials. The irreversible hydrocolloid groups produced the most variability in the measurements of linear dimensional change. All of the tested materials were within the ADA's acceptable limit of 1.0% for linear dimensional change, except for the disinfected irreversible hydrocolloid impression material. The alternative impression materials performed best for the parameters tested. Spray disinfection had no effect on the alternative impression materials. Copyright © 2012 The Editorial Council of the Journal of Prosthetic Dentistry. Published by Mosby, Inc. All rights reserved.

Average Faculty Salary Reaches $41,650, Up 6.1% in a Year, AAUP Survey Finds.

ERIC Educational Resources Information Center

Evangelauf, Jean

1990-01-01

This study shows that by type of institution, salaries are highest at doctorate-granting public and private universities. By sector, faculty members at private, independent institutions continue to have the highest earnings. The salary gap between men and women persists, with women earning less than men at every rank. (MLW)

World University Rankings: What Is in for Top Ten East Asian Universities?

ERIC Educational Resources Information Center

Soh, Kaycheng

2012-01-01

Background: World university rankings have been around for a decade and there are several such systems competing for the attention of higher education institutions. A frequent criticism is that they have a bias toward English-speaking countries and sciences; Europe and the Latin America have been vocal about this and are working on alternatives.…

A Methodology for Calculating Prestige Ranks of Academic Journals in Communication: A More Inclusive Alternative to Citation Metrics

ERIC Educational Resources Information Center

Stephen, Timothy D.

2011-01-01

The problem of how to rank academic journals in the communication field (human interaction, mass communication, speech, and rhetoric) is one of practical importance to scholars, university administrators, and librarians, yet there is no methodology that covers the field's journals comprehensively and objectively. This article reports a new ranking…

Moderation of Peer Assessment in Group Projects

ERIC Educational Resources Information Center

Bushell, Graeme

2006-01-01

It is shown here that a grade distribution scheme commonly used to moderate peer assessments where self assessment is excluded is based on a false premise and will give an erroneous ranking in the situation where the best performer in a student group ranks the second best performer much higher than the other group members. An alternative to…

Identification of symptom and functional domains that fibromyalgia patients would like to see improved: a cluster analysis.

PubMed

Bennett, Robert M; Russell, Jon; Cappelleri, Joseph C; Bushmakin, Andrew G; Zlateva, Gergana; Sadosky, Alesia

2010-06-28

The purpose of this study was to determine whether some of the clinical features of fibromyalgia (FM) that patients would like to see improved aggregate into definable clusters. Seven hundred and eighty-eight patients with clinically confirmed FM and baseline pain > or =40 mm on a 100 mm visual analogue scale ranked 5 FM clinical features that the subjects would most like to see improved after treatment (one for each priority quintile) from a list of 20 developed during focus groups. For each subject, clinical features were transformed into vectors with rankings assigned values 1-5 (lowest to highest ranking). Logistic analysis was used to create a distance matrix and hierarchical cluster analysis was applied to identify cluster structure. The frequency of cluster selection was determined, and cluster importance was ranked using cluster scores derived from rankings of the clinical features. Multidimensional scaling was used to visualize and conceptualize cluster relationships. Six clinical features clusters were identified and named based on their key characteristics. In order of selection frequency, the clusters were Pain (90%; 4 clinical features), Fatigue (89%; 4 clinical features), Domestic (42%; 4 clinical features), Impairment (29%; 3 functions), Affective (21%; 3 clinical features), and Social (9%; 2 functional). The "Pain Cluster" was ranked of greatest importance by 54% of subjects, followed by Fatigue, which was given the highest ranking by 28% of subjects. Multidimensional scaling mapped these clusters to two dimensions: Status (bounded by Physical and Emotional domains), and Setting (bounded by Individual and Group interactions). Common clinical features of FM could be grouped into 6 clusters (Pain, Fatigue, Domestic, Impairment, Affective, and Social) based on patient perception of relevance to treatment. Furthermore, these 6 clusters could be charted in the 2 dimensions of Status and Setting, thus providing a unique perspective for interpretation of FM symptomatology.

Ranking of concern, based on environmental indexes, for pharmaceutical and personal care products: an application to the Spanish case.

PubMed

Ortiz de García, Sheyla; Pinto, Gilberto Pinto; García-Encina, Pedro A; Irusta Mata, Rubén I

2013-11-15

A wide range of Pharmaceuticals and Personal Care Products (PPCPs) are present in the environment, and many of their adverse effects are unknown. The emergence of new compounds or changes in regulations have led to dynamical studies of occurrence, impact and treatment, which consider geographical areas and trends in consumption and innovation in the pharmaceutical industry. A Quantitative study of Structure-Activity Relationship ((Q)SAR) was performed to assess the possible adverse effects of ninety six PPCPs and metabolites with negligible experimental data and establish a ranking of concern, which was supported by the EPA EPI Suite™ interface. The environmental and toxicological indexes, the persistence (P), the bioaccumulation (B), the toxicity (T) (extensive) and the occurrence in Spanish aquatic environments (O) (intensive) were evaluated. The most hazardous characteristics in the largest number of compounds were generated by the P index, followed by the T and B indexes. A high number of metabolites has a concern score equal to or greater than their parent compounds. Three PBT and OPBT rankings of concern were proposed using the total and partial ranking method (supported by a Hasse diagram) by the Decision Analysis by Ranking Techniques (DART) tool, which was recently recommended by the European Commission. An analysis of the sensibility of the relative weights of these indexes has been conducted. Hormones, antidepressants (and their metabolites), blood lipid regulators and all of the personal care products considered in this study were at the highest levels of risk according to the PBT and OPBT total rankings. Furthermore, when the OPBT partial ranking was performed, X-ray contrast media, H2 blockers and some antibiotics were included at the highest level of concern. It is important to improve and incorporate useful indexes for the predicted environmental impact of PPCPs and metabolites and thus focus experimental analysis on the compounds that require urgent attention. Copyright © 2013 Elsevier Ltd. All rights reserved.

What Are Some Alternatives for Working Within a Regionally Adopted Science Framework?

ERIC Educational Resources Information Center

Perkes, Victor A.

Alternatives for working within a regionally adopted framework for selecting an elementary school science program are considered in this paper. The alternatives are ranked on a scale from 0 to 5 in increasing levels of modifying a set instructional pattern: Level 0, typified by indifference to any consistent program in science; Level 1, a complete…

A Survey of Patient and Partner Outcome and Treatment Preferences in Mild Cognitive Impairment.

PubMed

Smith, Glenn E; Chandler, Melanie; Fields, Julie A; Aakre, Jeremiah; Locke, Dona E C

2018-05-18

The patient-centered movement in health care is increasing efforts to design studies and interventions that address the outcomes that matter most to patients and their families. Research has not adequately addressed Alzheimer's disease patient and caregiver preferences. To survey the outcome and treatment preferences of patients and caregivers who had completed a multicomponent behavioral intervention for mild cognitive impairment (MCI). Extending prior work, we conducted an online survey regarding outcome and intervention preferences. Participants were patients with MCI and partners who completed the HABIT Healthy Action to Benefit Independence & Thinking ® program. Both patient and partner respondents ranked patient quality of life as the highest priority, followed by patient self-efficacy, functional status, patient mood, and patient memory performance. Distressing behaviors and caregiver outcomes (burden, mood, and self-efficacy) had low rankings. Regarding the importance of HABIT ® program components, memory compensation training was ranked highest and wellness education lowest by all groups. Additional research should compare patient preference for patient reported outcomes, traditional neuropsychological and clinician outcomes, and modern biomarker outcomes.

Digging into the Public's Astronomy Interests

NASA Astrophysics Data System (ADS)

Miller, Scott; Simpson, R.; Gay, P.

2009-05-01

The astronomy community is good at sharing what we feel is most important or most interesting to the public via press releases, and we can get a sense of what the media wants from what they select to publish. Understanding exactly what the public most enjoys, however, was until recently mostly a matter of guesswork. Social networking sites, however, provide a place for people to publicly indicate what they like. For instance, the site http://www.digg.com allows people to submit links to interesting content on any subject and people can add "Diggs" to that linked in page. As articles gain more and more Diggs, they rise through the ranks, with the overall highest ranked sites appearing on the Digg homepage, and the highest ranked in a variety of topics, including both "Science" and the sub-topic "Space." In this poster we look at 1 month of data from Digg and study what astronomy subjects the public selects to Digg, what items have the most staying power, and compare what is Dugg to what is released via press releases during the same period.

The highest-ranking rooster has priority to announce the break of dawn.

PubMed

Shimmura, Tsuyoshi; Ohashi, Shosei; Yoshimura, Takashi

2015-07-23

The "cock-a-doodle-doo" crowing of roosters, which symbolizes the break of dawn in many cultures, is controlled by the circadian clock. When one rooster announces the break of dawn, others in the vicinity immediately follow. Chickens are highly social animals, and they develop a linear and fixed hierarchy in small groups. We found that when chickens were housed in small groups, the top-ranking rooster determined the timing of predawn crowing. Specifically, the top-ranking rooster always started to crow first, followed by its subordinates, in descending order of social rank. When the top-ranking rooster was physically removed from a group, the second-ranking rooster initiated crowing. The presence of a dominant rooster significantly reduced the number of predawn crows in subordinates. However, the number of crows induced by external stimuli was independent of social rank, confirming that subordinates have the ability to crow. Although the timing of subordinates' predawn crowing was strongly dependent on that of the top-ranking rooster, free-running periods of body temperature rhythms differed among individuals, and crowing rhythm did not entrain to a crowing sound stimulus. These results indicate that in a group situation, the top-ranking rooster has priority to announce the break of dawn, and that subordinate roosters are patient enough to wait for the top-ranking rooster's first crow every morning and thus compromise their circadian clock for social reasons.

OSD’s Obligation & Expenditure Rate Goals: An Examination of the Factors Contributing to the Interference

DTIC Science & Technology

2015-04-30

Proposal Prep Delays [F6]). For this particular factor, PCOs reported the highest impact while PMs ranked it as the lowest. Senior staff cited that Shortage...of Contracting Officers (F4) created the highest impact, while PCOs reported it had the lowest impact. With a 7% , it was the lowest among all six

Ranking Theory and Conditional Reasoning.

PubMed

Skovgaard-Olsen, Niels

2016-05-01

Ranking theory is a formal epistemology that has been developed in over 600 pages in Spohn's recent book The Laws of Belief, which aims to provide a normative account of the dynamics of beliefs that presents an alternative to current probabilistic approaches. It has long been received in the AI community, but it has not yet found application in experimental psychology. The purpose of this paper is to derive clear, quantitative predictions by exploiting a parallel between ranking theory and a statistical model called logistic regression. This approach is illustrated by the development of a model for the conditional inference task using Spohn's (2013) ranking theoretic approach to conditionals. Copyright © 2015 Cognitive Science Society, Inc.

Neophilia Ranking of Scientific Journals.

PubMed

Packalen, Mikko; Bhattacharya, Jay

2017-01-01

The ranking of scientific journals is important because of the signal it sends to scientists about what is considered most vital for scientific progress. Existing ranking systems focus on measuring the influence of a scientific paper (citations)-these rankings do not reward journals for publishing innovative work that builds on new ideas. We propose an alternative ranking based on the proclivity of journals to publish papers that build on new ideas, and we implement this ranking via a text-based analysis of all published biomedical papers dating back to 1946. In addition, we compare our neophilia ranking to citation-based (impact factor) rankings; this comparison shows that the two ranking approaches are distinct. Prior theoretical work suggests an active role for our neophilia index in science policy. Absent an explicit incentive to pursue novel science, scientists underinvest in innovative work because of a coordination problem: for work on a new idea to flourish, many scientists must decide to adopt it in their work. Rankings that are based purely on influence thus do not provide sufficient incentives for publishing innovative work. By contrast, adoption of the neophilia index as part of journal-ranking procedures by funding agencies and university administrators would provide an explicit incentive for journals to publish innovative work and thus help solve the coordination problem by increasing scientists' incentives to pursue innovative work.

Prioritizing watersheds for conservation actions in the southeastern coastal plain ecoregion.

PubMed

Jang, Taeil; Vellidis, George; Kurkalova, Lyubov A; Boll, Jan; Hyman, Jeffrey B

2015-03-01

The aim of this study was to apply and evaluate a recently developed prioritization model which uses the synoptic approach to geographically prioritize watersheds in which Best Management Practices (BMPs) can be implemented to reduce water quality problems resulting from erosion and sedimentation. The model uses a benefit-cost framework to rank candidate watersheds within an ecoregion or river basin so that BMP implementation within the highest ranked watersheds will result in the most water quality improvement per conservation dollar invested. The model was developed to prioritize BMP implementation efforts in ecoregions containing watersheds associated with the USDA-NRCS Conservation Effects Assessment Project (CEAP). We applied the model to HUC-8 watersheds within the southeastern Coastal Plain ecoregion (USA) because not only is it an important agricultural area but also because it contains a well-studied medium-sized CEAP watershed which is thought to be representative of the ecoregion. The results showed that the three HUC-8 watersheds with the highest rankings (most water quality improvement expected per conservation dollar invested) were located in the southern Alabama, northern Florida, and eastern Virginia. Within these watersheds, measures of community attitudes toward conservation practices were highly ranked, and these indicators seemed to push the watersheds to the top of the rankings above other similar watersheds. The results, visualized as maps, can be used to screen and reduce the number of watersheds that need further assessment by managers and decision-makers within the study area. We anticipate that this model will allow agencies like USDA-NRCS to geographically prioritize BMP implementation efforts.

Comparing Effects of Biologic Agents in Treating Patients with Rheumatoid Arthritis: A Multiple Treatment Comparison Regression Analysis.

PubMed

Tvete, Ingunn Fride; Natvig, Bent; Gåsemyr, Jørund; Meland, Nils; Røine, Marianne; Klemp, Marianne

2015-01-01

Rheumatoid arthritis patients have been treated with disease modifying anti-rheumatic drugs (DMARDs) and the newer biologic drugs. We sought to compare and rank the biologics with respect to efficacy. We performed a literature search identifying 54 publications encompassing 9 biologics. We conducted a multiple treatment comparison regression analysis letting the number experiencing a 50% improvement on the ACR score be dependent upon dose level and disease duration for assessing the comparable relative effect between biologics and placebo or DMARD. The analysis embraced all treatment and comparator arms over all publications. Hence, all measured effects of any biologic agent contributed to the comparison of all biologic agents relative to each other either given alone or combined with DMARD. We found the drug effect to be dependent on dose level, but not on disease duration, and the impact of a high versus low dose level was the same for all drugs (higher doses indicated a higher frequency of ACR50 scores). The ranking of the drugs when given without DMARD was certolizumab (ranked highest), etanercept, tocilizumab/ abatacept and adalimumab. The ranking of the drugs when given with DMARD was certolizumab (ranked highest), tocilizumab, anakinra/rituximab, golimumab/ infliximab/ abatacept, adalimumab/ etanercept [corrected]. Still, all drugs were effective. All biologic agents were effective compared to placebo, with certolizumab the most effective and adalimumab (without DMARD treatment) and adalimumab/ etanercept (combined with DMARD treatment) the least effective. The drugs were in general more effective, except for etanercept, when given together with DMARDs.

Comparing Effects of Biologic Agents in Treating Patients with Rheumatoid Arthritis: A Multiple Treatment Comparison Regression Analysis

PubMed Central

Tvete, Ingunn Fride; Natvig, Bent; Gåsemyr, Jørund; Meland, Nils; Røine, Marianne; Klemp, Marianne

2015-01-01

Rheumatoid arthritis patients have been treated with disease modifying anti-rheumatic drugs (DMARDs) and the newer biologic drugs. We sought to compare and rank the biologics with respect to efficacy. We performed a literature search identifying 54 publications encompassing 9 biologics. We conducted a multiple treatment comparison regression analysis letting the number experiencing a 50% improvement on the ACR score be dependent upon dose level and disease duration for assessing the comparable relative effect between biologics and placebo or DMARD. The analysis embraced all treatment and comparator arms over all publications. Hence, all measured effects of any biologic agent contributed to the comparison of all biologic agents relative to each other either given alone or combined with DMARD. We found the drug effect to be dependent on dose level, but not on disease duration, and the impact of a high versus low dose level was the same for all drugs (higher doses indicated a higher frequency of ACR50 scores). The ranking of the drugs when given without DMARD was certolizumab (ranked highest), etanercept, tocilizumab/ abatacept and adalimumab. The ranking of the drugs when given with DMARD was certolizumab (ranked highest), tocilizumab, anakinra, rituximab, golimumab/ infliximab/ abatacept, adalimumab/ etanercept. Still, all drugs were effective. All biologic agents were effective compared to placebo, with certolizumab the most effective and adalimumab (without DMARD treatment) and adalimumab/ etanercept (combined with DMARD treatment) the least effective. The drugs were in general more effective, except for etanercept, when given together with DMARDs. PMID:26356639

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

NASA Astrophysics Data System (ADS)

Roux, Izak Johannes, III

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

A failure modes and effects analysis study for gynecologic high-dose-rate brachytherapy.

PubMed

Mayadev, Jyoti; Dieterich, Sonja; Harse, Rick; Lentz, Susan; Mathai, Mathew; Boddu, Sunita; Kern, Marianne; Courquin, Jean; Stern, Robin L

2015-01-01

To improve the quality of our gynecologic brachytherapy practice and reduce reportable events, we performed a process analysis after the failure modes and effects analysis (FMEA). The FMEA included a multidisciplinary team specifically targeting the tandem and ring brachytherapy procedure. The treatment process was divided into six subprocesses and failure modes (FMs). A scoring guideline was developed based on published FMEA studies and assigned through team consensus. FMs were ranked according to overall and severity scores. FM ranking >5% of the highest risk priority number (RPN) score was selected for in-depth analysis. The efficiency of each existing quality assurance to detect each FM was analyzed. We identified 170 FMs, and 99 were scored. RPN scores ranged from 1 to 192. Of the 13 highest-ranking FMs with RPN scores >80, half had severity scores of 8 or 9, with no mode having severity of 10. Of these FM, the originating process steps were simulation (5), treatment planning (5), treatment delivery (2), and insertion (1). Our high-ranking FM focused on communication and the potential for applicator movement. Evaluation of the efficiency and the comprehensiveness of our quality assurance program showed coverage of all but three of the top 49 FMs ranked by RPN. This is the first reported FMEA process for a comprehensive gynecologic brachytherapy procedure overview. We were able to identify FMs that could potentially and severely impact the patient's treatment. We continue to adjust our quality assurance program based on the results of our FMEA analysis. Published by Elsevier Inc.

Estimating botanical composition by the dry-weight-rank method in California's annual grasslands

Treesearch

Raymond D. Ratliff; William E. Frost

1990-01-01

The dry-weight-rank method of estimating botanical composition on California's annual grasslands is a viable alternative to harvesting and sorting or methods using points. Two data sets of sorted species weights were available. One spanned nine years with quadrats harvested at peak of production. The second spanned one growing season with 20 harvest dates. Two...

Alternative Statistical Frameworks for Student Growth Percentile Estimation

ERIC Educational Resources Information Center

Lockwood, J. R.; Castellano, Katherine E.

2015-01-01

This article suggests two alternative statistical approaches for estimating student growth percentiles (SGP). The first is to estimate percentile ranks of current test scores conditional on past test scores directly, by modeling the conditional cumulative distribution functions, rather than indirectly through quantile regressions. This would…

Academic Quality: An Alternative View.

ERIC Educational Resources Information Center

Kuh, George D.

1980-01-01

An alternative view to a 1979 study on institutional quality done by Astin and Solomon is presented. The study indicates significant changes in rank have occurred among the 25 most selective four-year undergraduate institutions. Kuh proposes naturalistic inquiry research. A rebuttal by Astin is appended. (MLW)

Assessment of wastewater treatment alternatives for small communities: An analytic network process approach.

PubMed

Molinos-Senante, María; Gómez, Trinidad; Caballero, Rafael; Hernández-Sancho, Francesc; Sala-Garrido, Ramón

2015-11-01

The selection of the most appropriate wastewater treatment (WWT) technology is a complex problem since many alternatives are available and many criteria are involved in the decision-making process. To deal with this challenge, the analytic network process (ANP) is applied for the first time to rank a set of seven WWT technology set-ups for secondary treatment in small communities. A major advantage of ANP is that it incorporates interdependent relationships between elements. Results illustrated that extensive technologies, constructed wetlands and pond systems are the most preferred alternatives by WWT experts. The sensitivity analysis performed verified that the ranking of WWT alternatives is very stable since constructed wetlands are almost always placed in the first position. This paper showed that ANP analysis is suitable to deal with complex decision-making problems, such as the selection of the most appropriate WWT system contributing to better understand the multiple interdependences among elements involved in the assessment. Copyright © 2015 Elsevier B.V. All rights reserved.

Fuzzy bi-objective linear programming for portfolio selection problem with magnitude ranking function

NASA Astrophysics Data System (ADS)

Kusumawati, Rosita; Subekti, Retno

2017-04-01

Fuzzy bi-objective linear programming (FBOLP) model is bi-objective linear programming model in fuzzy number set where the coefficients of the equations are fuzzy number. This model is proposed to solve portfolio selection problem which generate an asset portfolio with the lowest risk and the highest expected return. FBOLP model with normal fuzzy numbers for risk and expected return of stocks is transformed into linear programming (LP) model using magnitude ranking function.

Exploiting Remotely Piloted Aircraft: Understanding the Impact of Strategy on the Approach to Autonomy

DTIC Science & Technology

2011-06-01

Werner Von Braun acted to ensure that his rocket team sought capture by the U.S. Army rather than the Soviets. His team became the nucleus of...technically superior and well- envisioned air force capabilities to counter an emerging threat. Colonel General Von Seeckt established a forum to...KS.: University Press of Kansas, 1997), 51-52. Von Seeckt held the rank of Colonel General, the highest rank of the German military. 15 James

FSAW for REIT selection in multi-criteria decision making

NASA Astrophysics Data System (ADS)

Adawiyah, C. W. Rabiatul; Abdullah, Lazim

2014-07-01

Real Estate Investment Trust (REIT) is profitable investments that gain Malaysian investors' attention. It can be a great way to increase our net worth. Due to the existence of many property trusts, investors face difficulties in determining the best property trusts to invest their wealth. This high risk investment makes investors cautious in choosing the platform for investing their wealth. In real world situation, the data collected are inexact and ambiguous. Investment reminds investors to beware because it carries risk no matter low or high. There are lots of things that investors need to consider before invest in any property or trust. The aim of this paper is to identify the best criteria of REIT and determine the best property trust that helps investors gain profits in their investment. Four experts in areas of investment are randomly selected to assess and provide information regarding to Malaysia's REITs. Decision makers were asked to rate the criteria for every alternatives by using the linguistic variables. The five linguistic variables were used as input data to test fuzzy simple additive weighting (FSAW) model. From the study conducted, transparency indicates the necessary criteria for each property trust. This decision making model used to be possible to test FSAW model in investment sector. The decision makers also asked to evaluate the alternatives based on the linguistic ranking variables to rank the alternatives and the result shows the best alternative in this case is Amanah Harta Tanah PNB. The ranking signifies the impact of the criterion and alternatives to investors especially REITs investors.

Perspectives on Home-based Healthcare as an Alternative to Hospital Admission After Emergency Treatment.

PubMed

Stuck, Amy; Crowley, Christopher; Martinez, Tracy; Wittgrove, Alan; Brennan, Jesse J; Chan, Theodore C; Castillo, Edward M

2017-06-01

The study objective was to explore emergency physicians' (EP) awareness, willingness, and prior experience regarding transitioning patients to home-based healthcare following emergency department (ED) evaluation and treatment; and to explore patient selection criteria, processes, and services that would facilitate use of home-based healthcare as an alternative to hospitalization. We provided a five-question survey to 52 EPs, gauging previous experience referring patients to home-based healthcare, patient selection, and motivators and challenges when considering home-based options as an alternative to admission. In addition, we conducted three focus groups and four interviews. Of participating EPs, 92% completed the survey, 38% reported ordering home-based healthcare from the ED as an alternative to admission, 90% ranked cellulitis among the top three medical conditions for home-based healthcare, 90% ranked "reduce unnecessary hospitalizations and observation stays" among their top three perceived motivators for using home-based care, and 77% ranked "no existing process in place to refer to home-based care" among their top three perceived barriers. Focus group and interview themes included the need for alternatives to admission; the longer-term benefits of home-based healthcare; the need for streamlined transition processes; and the need for highly qualified home-care staff capable of responding the same day or within 24 hours. The study found that EPs are receptive to referring patients for home-based healthcare following ED treatment and believe people with certain diagnoses are likely to benefit, with the dominant barrier being the absence of an efficient referral process.

Perspectives on Home-based Healthcare as an Alternative to Hospital Admission After Emergency Treatment

PubMed Central

Stuck, Amy; Crowley, Christopher; Martinez, Tracy; Wittgrove, Alan; Brennan, Jesse J.; Chan, Theodore C.; Castillo, Edward M.

2017-01-01

Introduction The study objective was to explore emergency physicians’ (EP) awareness, willingness, and prior experience regarding transitioning patients to home-based healthcare following emergency department (ED) evaluation and treatment; and to explore patient selection criteria, processes, and services that would facilitate use of home-based healthcare as an alternative to hospitalization. Methods We provided a five-question survey to 52 EPs, gauging previous experience referring patients to home-based healthcare, patient selection, and motivators and challenges when considering home-based options as an alternative to admission. In addition, we conducted three focus groups and four interviews. Results Of participating EPs, 92% completed the survey, 38% reported ordering home-based healthcare from the ED as an alternative to admission, 90% ranked cellulitis among the top three medical conditions for home-based healthcare, 90% ranked “reduce unnecessary hospitalizations and observation stays” among their top three perceived motivators for using home-based care, and 77% ranked “no existing process in place to refer to home-based care” among their top three perceived barriers. Focus group and interview themes included the need for alternatives to admission; the longer-term benefits of home-based healthcare; the need for streamlined transition processes; and the need for highly qualified home-care staff capable of responding the same day or within 24 hours. Conclusion The study found that EPs are receptive to referring patients for home-based healthcare following ED treatment and believe people with certain diagnoses are likely to benefit, with the dominant barrier being the absence of an efficient referral process. PMID:28611899

Orthopaedic research in Australia: a bibliographic analysis of the publication rates in the top 15 journals.

PubMed

Hohmann, Erik; Glatt, Vaida; Tetsworth, Kevin

2017-09-01

To investigate the publications rates and characteristics of the authors for manuscripts originating from Australia in the 15 highest ranked orthopaedic journals over a 5-year period. The 15 highest ranked journals in orthopaedics, based on their 2015 impact factor, were used to establish the total number of publications and cumulative impact factor points between January 2010 and December 2014. The affiliations of the primary author and co-authors were used to determine the involvement of Australian trained orthopaedic surgeons. Study location, research topic and anatomic areas were recorded. A total of 478 publications were identified; 110 of these manuscripts were principally authored by Australian trained orthopaedic surgeons or medical professionals affiliated with orthopaedics. In addition, 158 articles were published with orthopaedic surgery involvement where one of the co-authors was an Australian trained surgeon. Australian orthopaedic surgeon (FRACS) involvement was most commonly observed in the knee (n = 90; 33.6%) followed by the hip (n = 69; 25.7%) and basic sciences (n = 27; 10.1%). Surgeons in Sydney had the highest number of publications (n = 95; 35.4%), followed by Adelaide (n = 55; 20.5%) and Melbourne (n = 54; 20.1%). The results of this study demonstrate that the minority (23%) of the publications originating from Australia in the 15 highest-ranking orthopaedic journals were principally authored by either an Australian trained surgeon or a trainee surgeon. A total of 59% of the publications focused on the hip and knee. Sydney was the leading region, followed by Adelaide and Melbourne. These three regions published 76% of all manuscripts identified during the 5-year study period. © 2017 Royal Australasian College of Surgeons.

Character strengths and well-being across the life span: data from a representative sample of German-speaking adults living in Switzerland

PubMed Central

Martínez-Martí, María L.; Ruch, Willibald

2014-01-01

Character strengths are positive, morally valued traits of personality. This study aims at assessing the relationship between character strengths and subjective well-being (i.e., life satisfaction, positive and negative affect) in a representative sample of German-speaking adults living in Switzerland (N = 945). We further test whether this relationship is consistent at different stages in life. Results showed that hope, zest, love, social intelligence and perseverance yielded the highest positive correlations with life satisfaction. Hope, zest, humor, gratitude and love presented the highest positive correlations with positive affect. Hope, humor, zest, honesty, and open-mindedness had the highest negative correlations with negative affect. When examining the relationship between strengths and well-being across age groups, in general, hope, zest and humor consistently yielded the highest correlations with well-being. Additionally, in the 27–36 years group, strengths that promote commitment and affiliation (i.e., kindness and honesty) were among the first five positions in the ranking of the relationship between strengths and well-being. In the 37–46 years group, in addition to hope, zest and humor, strengths that promote the maintenance of areas such as family and work (i.e., love, leadership) were among the first five positions in the ranking. Finally, in the 47–57 years group, in addition to hope, zest and humor, strengths that facilitate integration and a vital involvement with the environment (i.e., gratitude, love of learning) were among the first five positions in the ranking. This study partially supports previous findings with less representative samples on the association between character strengths and well-being, and sheds light on the relative importance of some strengths over others for well-being across the life span. PMID:25408678

The Experience Elicited by Hallucinogens Presents the Highest Similarity to Dreaming within a Large Database of Psychoactive Substance Reports.

PubMed

Sanz, Camila; Tagliazucchi, Enzo

2018-01-01

Ever since the modern rediscovery of psychedelic substances by Western society, several authors have independently proposed that their effects bear a high resemblance to the dreams and dreamlike experiences occurring naturally during the sleep-wake cycle. Recent studies in humans have provided neurophysiological evidence supporting this hypothesis. However, a rigorous comparative analysis of the phenomenology ("what it feels like" to experience these states) is currently lacking. We investigated the semantic similarity between a large number of subjective reports of psychoactive substances and reports of high/low lucidity dreams, and found that the highest-ranking substance in terms of the similarity to high lucidity dreams was the serotonergic psychedelic lysergic acid diethylamide (LSD), whereas the highest-ranking in terms of the similarity to dreams of low lucidity were plants of the Datura genus, rich in deliriant tropane alkaloids. Conversely, sedatives, stimulants, antipsychotics, and antidepressants comprised most of the lowest-ranking substances. An analysis of the most frequent words in the subjective reports of dreams and hallucinogens revealed that terms associated with perception ("see," "visual," "face," "reality," "color"), emotion ("fear"), setting ("outside," "inside," "street," "front," "behind") and relatives ("mom," "dad," "brother," "parent," "family") were the most prevalent across both experiences. In summary, we applied novel quantitative analyses to a large volume of empirical data to confirm the hypothesis that, among all psychoactive substances, hallucinogen drugs elicit experiences with the highest semantic similarity to those of dreams. Our results and the associated methodological developments open the way to study the comparative phenomenology of different altered states of consciousness and its relationship with non-invasive measurements of brain physiology.

24 CFR 598.430 - Revocation of designation.

Code of Federal Regulations, 2012 CFR

2012-04-01

... URBAN DEVELOPMENT COMMUNITY FACILITIES URBAN EMPOWERMENT ZONES: ROUND TWO AND THREE DESIGNATIONS Post... benefits may be awarded to the next highest ranked Round II applicant. (f) Publication. The final notice of...

24 CFR 598.430 - Revocation of designation.

Code of Federal Regulations, 2014 CFR

2014-04-01

... URBAN DEVELOPMENT COMMUNITY FACILITIES URBAN EMPOWERMENT ZONES: ROUND TWO AND THREE DESIGNATIONS Post... benefits may be awarded to the next highest ranked Round II applicant. (f) Publication. The final notice of...

24 CFR 598.430 - Revocation of designation.

Code of Federal Regulations, 2013 CFR

2013-04-01

... URBAN DEVELOPMENT COMMUNITY FACILITIES URBAN EMPOWERMENT ZONES: ROUND TWO AND THREE DESIGNATIONS Post... benefits may be awarded to the next highest ranked Round II applicant. (f) Publication. The final notice of...

Ranking of Prokaryotic Genomes Based on Maximization of Sortedness of Gene Lengths

PubMed Central

Bolshoy, A; Salih, B; Cohen, I; Tatarinova, T

2014-01-01

How variations of gene lengths (some genes become longer than their predecessors, while other genes become shorter and the sizes of these factions are randomly different from organism to organism) depend on organismal evolution and adaptation is still an open question. We propose to rank the genomes according to lengths of their genes, and then find association between the genome rank and variousproperties, such as growth temperature, nucleotide composition, and pathogenicity. This approach reveals evolutionary driving factors. The main purpose of this study is to test effectiveness and robustness of several ranking methods. The selected method of evaluation is measuring of overall sortedness of the data. We have demonstrated that all considered methods give consistent results and Bubble Sort and Simulated Annealing achieve the highest sortedness. Also, Bubble Sort is considerably faster than the Simulated Annealing method. PMID:26146586

Ranking of Prokaryotic Genomes Based on Maximization of Sortedness of Gene Lengths.

PubMed

Bolshoy, A; Salih, B; Cohen, I; Tatarinova, T

How variations of gene lengths (some genes become longer than their predecessors, while other genes become shorter and the sizes of these factions are randomly different from organism to organism) depend on organismal evolution and adaptation is still an open question. We propose to rank the genomes according to lengths of their genes, and then find association between the genome rank and variousproperties, such as growth temperature, nucleotide composition, and pathogenicity. This approach reveals evolutionary driving factors. The main purpose of this study is to test effectiveness and robustness of several ranking methods. The selected method of evaluation is measuring of overall sortedness of the data. We have demonstrated that all considered methods give consistent results and Bubble Sort and Simulated Annealing achieve the highest sortedness. Also, Bubble Sort is considerably faster than the Simulated Annealing method.

RANK-c attenuates aggressive properties of ER-negative breast cancer by inhibiting NF-κB activation and EGFR signaling.

PubMed

Sirinian, Chaido; Papanastasiou, Anastasios D; Schizas, Michail; Spella, Magda; Stathopoulos, Georgios T; Repanti, Maria; Zarkadis, Ioannis K; King, Tari A; Kalofonos, Haralabos P

2018-05-29

The RANK/RANKL axis emerges as a key regulator of breast cancer initiation, progression, and metastasis. RANK-c is a RANK receptor isoform produced through alternative splicing of the TNFRSF11A (RANK) gene and a dominant-negative regulator of RANK-induced nuclear factor-κB (NF-κB) activation. Here we report that RANK-c transcript is expressed in 3.2% of cases in The Cancer Genome Atlas breast cancer cohort evenly between ER-positive and ER-negative cases. Nevertheless, the ratio of RANK to RANK-c (RANK/RANK-c) is increased in ER-negative breast cancer cell lines compared to ER-positive breast cancer cell lines. In addition, forced expression of RANK-c in ER-negative breast cancer cell lines inhibited stimuli-induced NF-κB activation and attenuated migration, invasion, colony formation, and adhesion of cancer cells. Further, RANK-c expression in MDA-MB-231 cells inhibited lung metastasis and colonization in vivo. The RANK-c-mediated inhibition of cancer cell aggressiveness and nuclear factor-κB (NF-κB) activation in breast cancer cells seems to rely on a RANK-c/TNF receptor-associated factor-2 (TRAF2) protein interaction. This was further confirmed by a mutated RANK-c that is unable to interact with TRAF2 and abolishes the ability to attenuate NF-κB activation, migration, and invasion. Additional protein interaction characterization revealed epidermal growth factor receptor (EGFR) as a novel interacting partner for RANK-c in breast cancer cells with a negative effect on EGFR phosphorylation and EGF-dependent downstream signaling pathway activation. Our findings further elucidate the complex molecular biology of the RANKL/RANK system in breast cancer and provide preliminary data for RANK-c as a possible marker for disease progression and aggressiveness.

Geographic origin of publications in radiological journals as a function of GDP and percentage of GDP spent on research.

PubMed

Halpenny, Darragh; Burke, John; McNeill, Graeme; Snow, Aisling; Torreggiani, William C

2010-06-01

The aim of this study was to examine the geographic origin of publications in the highest impacting radiology journals and to examine the link between the percentage of gross domestic product (GDP) spent on research by a country and the output of radiology publications. The five highest impacting general radiology journals (according to the ISI Web of Knowledge database) were selected over a 6-year period from January 2002 to December 2007. Publications were totaled according to the country of the corresponding author. Publications (total and corrected for population size) were assessed according to the GDP of a given country and the percentage of GDP spent on research in that country. Correlation was determined using Spearman's rank. In total, 10,925 papers were identified. The top 10 nations produced 83.9% of the total number of papers. The United States was the most prolific country, with 41.7% of the total. The second-ranked and third-ranked countries were Germany (11.6%) and Japan (6.7%). Corrected for GDP, smaller European countries outperformed larger nations. Switzerland (0.925 publications per billion of GDP), Austria (0.694 publications per billion of GDP), and Belgium (0.648 publications per billion of GDP) produced the most papers per billion of GDP. When corrected for percentage of GDP spent on research, European countries again ranked highest, with Greece, Turkey, and Belgium having the best ratios. The percentage of GDP spent on research was positively correlated with the number of publications in high-ranking radiology journals (r = 0.603, P < .001). The United States is the most productive country in absolute number of publications. The flaws of using population size to compare publication output are clear, and a comparison using GDP and the percentage of GDP spent on research may give more meaningful results. When GDP is taken into consideration, smaller European countries are more productive. The importance of investment in radiologic research is emphasized by the association between increased funding of research and the number of publications in high-impacting radiology journals. Copyright (c) 2010 AUR. Published by Elsevier Inc. All rights reserved.

Kriging for Simulation Metamodeling: Experimental Design, Reduced Rank Kriging, and Omni-Rank Kriging

NASA Astrophysics Data System (ADS)

Hosking, Michael Robert

This dissertation improves an analyst's use of simulation by offering improvements in the utilization of kriging metamodels. There are three main contributions. First an analysis is performed of what comprises good experimental designs for practical (non-toy) problems when using a kriging metamodel. Second is an explanation and demonstration of how reduced rank decompositions can improve the performance of kriging, now referred to as reduced rank kriging. Third is the development of an extension of reduced rank kriging which solves an open question regarding the usage of reduced rank kriging in practice. This extension is called omni-rank kriging. Finally these results are demonstrated on two case studies. The first contribution focuses on experimental design. Sequential designs are generally known to be more efficient than "one shot" designs. However, sequential designs require some sort of pilot design from which the sequential stage can be based. We seek to find good initial designs for these pilot studies, as well as designs which will be effective if there is no following sequential stage. We test a wide variety of designs over a small set of test-bed problems. Our findings indicate that analysts should take advantage of any prior information they have about their problem's shape and/or their goals in metamodeling. In the event of a total lack of information we find that Latin hypercube designs are robust default choices. Our work is most distinguished by its attention to the higher levels of dimensionality. The second contribution introduces and explains an alternative method for kriging when there is noise in the data, which we call reduced rank kriging. Reduced rank kriging is based on using a reduced rank decomposition which artificially smoothes the kriging weights similar to a nugget effect. Our primary focus will be showing how the reduced rank decomposition propagates through kriging empirically. In addition, we show further evidence for our explanation through tests of reduced rank kriging's performance over different situations. In total, reduced rank kriging is a useful tool for simulation metamodeling. For the third contribution we will answer the question of how to find the best rank for reduced rank kriging. We do this by creating an alternative method which does not need to search for a particular rank. Instead it uses all potential ranks; we call this approach omnirank kriging. This modification realizes the potential gains from reduced rank kriging and provides a workable methodology for simulation metamodeling. Finally, we will demonstrate the use and value of these developments on two case studies, a clinic operation problem and a location problem. These cases will validate the value of this research. Simulation metamodeling always attempts to extract maximum information from limited data. Each one of these contributions will allow analysts to make better use of their constrained computational budgets.

A statistical approach to rank multiple priorities in environmental epidemiology: an example from high-risk areas in Sardinia, Italy.

PubMed

Catelan, Dolores; Biggeri, Annibale

2008-11-01

In environmental epidemiology, long lists of relative risk estimates from exposed populations are compared to a reference to scrutinize the dataset for extremes. Here, inference on disease profiles for given areas, or for fixed disease population signatures, are of interest and summaries can be obtained averaging over areas or diseases. We have developed a multivariate hierarchical Bayesian approach to estimate posterior rank distributions and we show how to produce league tables of ranks with credibility intervals useful to address the above mentioned inferential problems. Applying the procedure to a real dataset from the report "Environment and Health in Sardinia (Italy)" we selected 18 areas characterized by high environmental pressure for industrial, mining or military activities investigated for 29 causes of deaths among male residents. Ranking diseases highlighted the increased burdens of neoplastic (cancerous), and non-neoplastic respiratory diseases in the heavily polluted area of Portoscuso. The averaged ranks by disease over areas showed lung cancer among the three highest positions.

Test Scores, Class Rank and College Performance: Lessons for Broadening Access and Promoting Success.

PubMed

Niu, Sunny X; Tienda, Marta

2012-04-01

Using administrative data for five Texas universities that differ in selectivity, this study evaluates the relative influence of two key indicators for college success-high school class rank and standardized tests. Empirical results show that class rank is the superior predictor of college performance and that test score advantages do not insulate lower ranked students from academic underperformance. Using the UT-Austin campus as a test case, we conduct a simulation to evaluate the consequences of capping students admitted automatically using both achievement metrics. We find that using class rank to cap the number of students eligible for automatic admission would have roughly uniform impacts across high schools, but imposing a minimum test score threshold on all students would have highly unequal consequences by greatly reduce the admission eligibility of the highest performing students who attend poor high schools while not jeopardizing admissibility of students who attend affluent high schools. We discuss the implications of the Texas admissions experiment for higher education in Europe.

In the Lead Again Horizontal-Ellipsis [Journal of Cardiovascular and Interventional Radiology

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

Vorwerk, Dierk, E-mail: dierk.vorwerk@klinikum-ingolstadt.de

The 2013 ISI journal rankings are out and it is my pleasure to inform our readership that CVIR ranks 43/120 (2012: 46/118) journals in the field of radiology. The 2013 impact factor further improved to 2.138 (2012: 2.093). This means that Cardiovascular and Interventional Radiology again continues to be the highest ranked journal dedicated to the field of interventional radiology in 2013.This is mainly due to the great support we achieve by you as authors and readers of CVIR, your dedication to the profession, and your loyalty both to the journal and to CIRSE. For all of this, we owemore » you our thanks and respect.« less

Objective criteria ranking framework for renewable energy policy decisions in Nigeria

NASA Astrophysics Data System (ADS)

K, Nwofor O.; N, Dike V.

2016-08-01

We present a framework that seeks to improve the objectivity of renewable energy policy decisions in Nigeria. It consists of expert ranking of resource abundance, resource efficiency and resource environmental comfort in the choice of renewable energy options for large scale power generation. The rankings are converted to a more objective function called Resource Appraisal Function (RAF) using dependence operators derived from logical relationships amongst the various criteria. The preferred option is that with the highest average RAF coupled with the least RAF variance. The method can be extended to more options, more criteria, and more opinions and can be adapted for similar decisions in education, environment and health sectors.

Environmental risk analysis and prioritization of pharmaceuticals in a developing world context.

PubMed

Mansour, Fatima; Al-Hindi, Mahmoud; Saad, Walid; Salam, Darine

2016-07-01

The impact of residual pharmaceuticals on the aquatic environment has gained widespread attention over the past years. Various studies have established the occurrence of pharmaceutical compounds in different water bodies throughout the world. In view of the absence of occurrence data in a number of developing world countries, and given the limited availability of analytical resources in these countries, it is prudent to devise methodologies to prioritize pharmaceuticals for environmental monitoring purposes that are site specific. In this work, several prioritization approaches are used to rank the 88 most commonly consumed pharmaceuticals in Lebanon. A simultaneous multi-criteria decision analysis method utilizing the exposure, persistence, bioaccumulation, and toxicity (EPBT) approach is applied to a smaller subset of the original list (69 pharmaceuticals). Several base cases are investigated and sensitivity analysis is applied to one of these base case runs. The similarities and differences in the overall ranking of individual, and classes of, pharmaceuticals for the base cases and the sensitivity runs are elucidated. An environmental risk assessment (ERA), where predicted environmental concentrations (PEC) and risk quotients (RQ) are determined at different dilution factors, is performed as an alternative method of prioritization for a total of 84 pharmaceuticals. The ERA results indicate that metformin and amoxicillin have the highest PECs while 17β-estradiol, naftidrofuryl and dimenhydrinate have the highest RQs. The two approaches, EPBT prioritization and ERA, are compared and a priority list consisting of 26 pharmaceuticals of various classes is developed. Nervous system and alimentary tract and metabolism pharmaceuticals (9/26 and 5/26 respectively) constitute more than half of the numbers on the priority list with the balance consisting of anti-infective (4/26), musculo-skeletal (3/26), genito-urinary (2/26), respiratory (2/26) and cardiovascular (1/26) pharmaceuticals. This list will serve as a basis for the selection of candidate compounds to focus on for future monitoring campaigns. Copyright © 2016 Elsevier B.V. All rights reserved.

Fuzzy Multicriteria Ranking of Aluminium Coating Methods

NASA Astrophysics Data System (ADS)

Batzias, A. F.

2007-12-01

This work deals with multicriteria ranking of aluminium coating methods. The alternatives used are: sulfuric acid anodization, A1; oxalic acid anodization, A2; chromic acid anodization, A3; phosphoric acid anodization, A4; integral color anodizing, A5; chemical conversion coating, A6; electrostatic powder deposition, A7. The criteria used are: cost of production, f1; environmental friendliness of production process, f2; appearance (texture), f3; reflectivity, f4; response to coloring, f5; corrosion resistance, f6; abrasion resistance, f7; fatigue resistance, f8. Five experts coming from relevant industrial units set grades to the criteria vector and the preference matrix according to a properly modified Delphi method. Sensitivity analysis of the ranked first alternative A1 against the `second best', which was A3 at low and A7 at high resolution levels proved that the solution is robust. The dependence of anodized products quality on upstream processes is presented and the impact of energy price increase on industrial cost is discussed.

Review of alternative fuels data bases

NASA Technical Reports Server (NTRS)

Harsha, P. T.; Edelman, R. B.

1983-01-01

Based on an analysis of the interaction of fuel physical and chemical properties with combustion characteristics and indicators, a ranking of the importance of various fuel properties with respect to the combustion process was established. This ranking was used to define a suite of specific experiments whose objective is the development of an alternative fuels design data base. Combustion characteristics and indicators examined include droplet and spray formation, droplet vaporization and burning, ignition and flame stabilization, flame temperature, laminar flame speed, combustion completion, soot emissions, NOx and SOx emissions, and the fuels' thermal and oxidative stability and fouling and corrosion characteristics. Key fuel property data is found to include composition, thermochemical data, chemical kinetic rate information, and certain physical properties.

A Note on Alternating Minimization Algorithm for the Matrix Completion Problem

DOE PAGES

Gamarnik, David; Misra, Sidhant

2016-06-06

Here, we consider the problem of reconstructing a low-rank matrix from a subset of its entries and analyze two variants of the so-called alternating minimization algorithm, which has been proposed in the past.We establish that when the underlying matrix has rank one, has positive bounded entries, and the graph underlying the revealed entries has diameter which is logarithmic in the size of the matrix, both algorithms succeed in reconstructing the matrix approximately in polynomial time starting from an arbitrary initialization.We further provide simulation results which suggest that the second variant which is based on the message passing type updates performsmore » significantly better.« less

Japan Country Analysis Brief

EIA Publications

2017-01-01

Japan is the world's largest liquefied natural gas importer and ranks in the top four countries for the highest coal imports, net imports of petroleum and other liquids, and consumption of crude oil and petroleum products.

The highest-ranking rooster has priority to announce the break of dawn

PubMed Central

Shimmura, Tsuyoshi; Ohashi, Shosei; Yoshimura, Takashi

2015-01-01

The “cock-a-doodle-doo” crowing of roosters, which symbolizes the break of dawn in many cultures, is controlled by the circadian clock. When one rooster announces the break of dawn, others in the vicinity immediately follow. Chickens are highly social animals, and they develop a linear and fixed hierarchy in small groups. We found that when chickens were housed in small groups, the top-ranking rooster determined the timing of predawn crowing. Specifically, the top-ranking rooster always started to crow first, followed by its subordinates, in descending order of social rank. When the top-ranking rooster was physically removed from a group, the second-ranking rooster initiated crowing. The presence of a dominant rooster significantly reduced the number of predawn crows in subordinates. However, the number of crows induced by external stimuli was independent of social rank, confirming that subordinates have the ability to crow. Although the timing of subordinates’ predawn crowing was strongly dependent on that of the top-ranking rooster, free-running periods of body temperature rhythms differed among individuals, and crowing rhythm did not entrain to a crowing sound stimulus. These results indicate that in a group situation, the top-ranking rooster has priority to announce the break of dawn, and that subordinate roosters are patient enough to wait for the top-ranking rooster’s first crow every morning and thus compromise their circadian clock for social reasons. PMID:26203594

Randomized interpolative decomposition of separated representations

NASA Astrophysics Data System (ADS)

Biagioni, David J.; Beylkin, Daniel; Beylkin, Gregory

2015-01-01

We introduce an algorithm to compute tensor interpolative decomposition (dubbed CTD-ID) for the reduction of the separation rank of Canonical Tensor Decompositions (CTDs). Tensor ID selects, for a user-defined accuracy ɛ, a near optimal subset of terms of a CTD to represent the remaining terms via a linear combination of the selected terms. CTD-ID can be used as an alternative to or in combination with the Alternating Least Squares (ALS) algorithm. We present examples of its use within a convergent iteration to compute inverse operators in high dimensions. We also briefly discuss the spectral norm as a computational alternative to the Frobenius norm in estimating approximation errors of tensor ID. We reduce the problem of finding tensor IDs to that of constructing interpolative decompositions of certain matrices. These matrices are generated via randomized projection of the terms of the given tensor. We provide cost estimates and several examples of the new approach to the reduction of separation rank.

Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches.

PubMed

Bishara, Anthony J; Hittner, James B

2012-09-01

It is well known that when data are nonnormally distributed, a test of the significance of Pearson's r may inflate Type I error rates and reduce power. Statistics textbooks and the simulation literature provide several alternatives to Pearson's correlation. However, the relative performance of these alternatives has been unclear. Two simulation studies were conducted to compare 12 methods, including Pearson, Spearman's rank-order, transformation, and resampling approaches. With most sample sizes (n ≥ 20), Type I and Type II error rates were minimized by transforming the data to a normal shape prior to assessing the Pearson correlation. Among transformation approaches, a general purpose rank-based inverse normal transformation (i.e., transformation to rankit scores) was most beneficial. However, when samples were both small (n ≤ 10) and extremely nonnormal, the permutation test often outperformed other alternatives, including various bootstrap tests.

Deriving preference order of post-mining land-uses through MLSA framework: application of an outranking technique

NASA Astrophysics Data System (ADS)

Soltanmohammadi, Hossein; Osanloo, Morteza; Aghajani Bazzazi, Abbas

2009-08-01

This study intends to take advantage of a previously developed framework for mined land suitability analysis (MLSA) consisted of economical, social, technical and mine site factors to achieve a partial and also a complete pre-order of feasible post-mining land-uses. Analysis by an outranking multi-attribute decision-making (MADM) technique, called PROMETHEE (preference ranking organization method for enrichment evaluation), was taken into consideration because of its clear advantages on the field of MLSA as compared with MADM ranking techniques. Application of the proposed approach on a mined land can be completed through some successive steps. First, performance of the MLSA attributes is scored locally by each individual decision maker (DM). Then the assigned performance scores are normalized and the deviation amplitudes of non-dominated alternatives are calculated. Weights of the attributes are calculated by another MADM technique namely, analytical hierarchy process (AHP) in a separate procedure. Using the Gaussian preference function beside the weights, the preference indexes of the land-use alternatives are obtained. Calculation of the outgoing and entering flows of the alternatives and one by one comparison of these values will lead to partial pre-order of them and calculation of the net flows, will lead to a ranked preference for each land-use. At the final step, utilizing the PROMETHEE group decision support system which incorporates judgments of all the DMs, a consensual ranking can be derived. In this paper, preference order of post-mining land-uses for a hypothetical mined land has been derived according to judgments of one DM to reveal applicability of the proposed approach.

A Data Envelopment Analysis Model for Renewable Energy Technology Selection

USDA-ARS?s Scientific Manuscript database

Public and media interest in alternative energy sources, such as renewable fuels, has rapidly increased in recent years due to higher prices for oil and natural gas. However, the current body of research providing comparative decision making models that either rank these alternative energy sources a...

Neophilia Ranking of Scientific Journals

PubMed Central

Packalen, Mikko; Bhattacharya, Jay

2017-01-01

The ranking of scientific journals is important because of the signal it sends to scientists about what is considered most vital for scientific progress. Existing ranking systems focus on measuring the influence of a scientific paper (citations)—these rankings do not reward journals for publishing innovative work that builds on new ideas. We propose an alternative ranking based on the proclivity of journals to publish papers that build on new ideas, and we implement this ranking via a text-based analysis of all published biomedical papers dating back to 1946. In addition, we compare our neophilia ranking to citation-based (impact factor) rankings; this comparison shows that the two ranking approaches are distinct. Prior theoretical work suggests an active role for our neophilia index in science policy. Absent an explicit incentive to pursue novel science, scientists underinvest in innovative work because of a coordination problem: for work on a new idea to flourish, many scientists must decide to adopt it in their work. Rankings that are based purely on influence thus do not provide sufficient incentives for publishing innovative work. By contrast, adoption of the neophilia index as part of journal-ranking procedures by funding agencies and university administrators would provide an explicit incentive for journals to publish innovative work and thus help solve the coordination problem by increasing scientists' incentives to pursue innovative work. PMID:28713181

Neural Signatures of Intransitive Preferences

PubMed Central

Kalenscher, Tobias; Tobler, Philippe N.; Huijbers, Willem; Daselaar, Sander M.; Pennartz, Cyriel M.A.

2010-01-01

It is often assumed that decisions are made by rank-ordering and thus comparing the available choice options based on their subjective values. Rank-ordering requires that the alternatives’ subjective values are mentally represented at least on an ordinal scale. Because one alternative cannot be at the same time better and worse than another alternative, choices should satisfy transitivity (if alternative A is preferred over B, and B is preferred over C, A should be preferred over C). Yet, individuals often demonstrate striking violations of transitivity (preferring C over A). We used functional magnetic resonance imaging to study the neural correlates of intransitive choices between gambles varying in magnitude and probability of financial gains. Behavioral intransitivities were common. They occurred because participants did not evaluate the gambles independently, but in comparison with the alternative gamble presented. Neural value signals in prefrontal and parietal cortex were not ordinal-scaled and transitive, but reflected fluctuations in the gambles’ local, pairing-dependent preference-ranks. Detailed behavioral analysis of gamble preferences showed that, depending on the difference in the offered gambles’ attributes, participants gave variable priority to magnitude or probability and thus shifted between preferring richer or safer gambles. The variable, context-dependent priority given to magnitude and probability was tracked by insula (magnitude) and posterior cingulate (probability). Their activation-balance may reflect the individual decision rules leading to intransitivities. Thus, the phenomenon of intransitivity is reflected in the organization of the neural systems involved in risky decision-making. PMID:20814565

Relationship between pharmacy residency examination rank and specialty choice for French pharmacy residency-admitted students

PubMed Central

Fardel, Olivier

2016-01-01

Objective: To analyze the link between the rank at the national pharmacy residency examination and the choice of pharmacy specialty for hospital residency-admitted French pharmacy students. Methods: Examination ranks as well as the pharmacy residency specialty to which residency candidates are finally admitted were collected for all students (n=1948) having successfully passed the national French pharmacy residency examination over the period 2013-2016. Students were categorized by their pharmacy specialty for residency, i.e., “Medical Biology” (n=591), “Hospital Pharmacy” (n=1175) and “Pharmaceutical Innovation and Research” (n=182), and medians of examination ranks as well as limit ranks (the rank of the last admitted postulant) by specialty were compared. Results: Examination ranks for pharmacy residency-admitted students were found to significantly differ according to the nature of the specialty in which students were finally admitted. “Medical Biology” has the lowest examination ranks (and appears thus as the most selective specialty), followed by “Hospital Pharmacy” and ended by “Pharmaceutical Innovation and Research”, that has the highest examination ranks (and appears thus as the least selective specialty). Limit examination ranks were additionally shown to discriminate university hospitals in which residents were assigned. Conclusion: Specialty choice for hospital residency-admitted French pharmacy candidates is closely associated with their rank at the national pharmacy residency examination, which can be assumed as reflecting their academic level. By this way, an implicit hierarchy of French pharmacy residency specialties according to the academic level of postulants can likely be drawn. PMID:28503227

Isotherm ranking and selection using thirteen literature datasets involving hydrophobic organic compounds.

PubMed

Matott, L Shawn; Jiang, Zhengzheng; Rabideau, Alan J; Allen-King, Richelle M

2015-01-01

Numerous isotherm expressions have been developed for describing sorption of hydrophobic organic compounds (HOCs), including "dual-mode" approaches that combine nonlinear behavior with a linear partitioning component. Choosing among these alternative expressions for describing a given dataset is an important task that can significantly influence subsequent transport modeling and/or mechanistic interpretation. In this study, a series of numerical experiments were undertaken to identify "best-in-class" isotherms by refitting 10 alternative models to a suite of 13 previously published literature datasets. The corrected Akaike Information Criterion (AICc) was used for ranking these alternative fits and distinguishing between plausible and implausible isotherms for each dataset. The occurrence of multiple plausible isotherms was inversely correlated with dataset "richness", such that datasets with fewer observations and/or a narrow range of aqueous concentrations resulted in a greater number of plausible isotherms. Overall, only the Polanyi-partition dual-mode isotherm was classified as "plausible" across all 13 of the considered datasets, indicating substantial statistical support consistent with current advances in sorption theory. However, these findings are predicated on the use of the AICc measure as an unbiased ranking metric and the adoption of a subjective, but defensible, threshold for separating plausible and implausible isotherms. Copyright © 2015 Elsevier B.V. All rights reserved.

Confidence intervals for correlations when data are not normal.

PubMed

Bishara, Anthony J; Hittner, James B

2017-02-01

With nonnormal data, the typical confidence interval of the correlation (Fisher z') may be inaccurate. The literature has been unclear as to which of several alternative methods should be used instead, and how extreme a violation of normality is needed to justify an alternative. Through Monte Carlo simulation, 11 confidence interval methods were compared, including Fisher z', two Spearman rank-order methods, the Box-Cox transformation, rank-based inverse normal (RIN) transformation, and various bootstrap methods. Nonnormality often distorted the Fisher z' confidence interval-for example, leading to a 95 % confidence interval that had actual coverage as low as 68 %. Increasing the sample size sometimes worsened this problem. Inaccurate Fisher z' intervals could be predicted by a sample kurtosis of at least 2, an absolute sample skewness of at least 1, or significant violations of normality hypothesis tests. Only the Spearman rank-order and RIN transformation methods were universally robust to nonnormality. Among the bootstrap methods, an observed imposed bootstrap came closest to accurate coverage, though it often resulted in an overly long interval. The results suggest that sample nonnormality can justify avoidance of the Fisher z' interval in favor of a more robust alternative. R code for the relevant methods is provided in supplementary materials.

Signal voter

DOEpatents

Goodwin, Roy L.

1981-01-01

A voter for providing a single accurate output signal that is derived from the closest two signal levels of three input signals, each of which signals represents a measurement of the same phenomena. By means of the voting circuit, the signals are first sorted by level of amplitude and then ranked as highest, middle or lowest. The highest or lowest signal that is furthest from the middle signal is rejected, while the other highest or lowest signal is selected for processing. The selected high or low signal is then averaged with the middle signal to provide the output signal.

Scalable Faceted Ranking in Tagging Systems

NASA Astrophysics Data System (ADS)

Orlicki, José I.; Alvarez-Hamelin, J. Ignacio; Fierens, Pablo I.

Nowadays, web collaborative tagging systems which allow users to upload, comment on and recommend contents, are growing. Such systems can be represented as graphs where nodes correspond to users and tagged-links to recommendations. In this paper we analyze the problem of computing a ranking of users with respect to a facet described as a set of tags. A straightforward solution is to compute a PageRank-like algorithm on a facet-related graph, but it is not feasible for online computation. We propose an alternative: (i) a ranking for each tag is computed offline on the basis of tag-related subgraphs; (ii) a faceted order is generated online by merging rankings corresponding to all the tags in the facet. Based on the graph analysis of YouTube and Flickr, we show that step (i) is scalable. We also present efficient algorithms for step (ii), which are evaluated by comparing their results with two gold standards.

Comparative study of scientific publications in orthopedics journals originating from USA, Japan and China (2000-2012).

PubMed

Lao, Li-Feng; Daubs, Michael David; Phan, Kevin H; Wang, Jeffrey C

2013-11-01

To compare orthopedics publications from USA, Japan and China. Scientific papers belong to ''Orthopedics'' category of Science Citation Index Expanded subject categories were retrieved from the "PubMed'' and ''Web of Knowledge'' online databases. In the field of orthopedics, the annual number increased significantly from 2000 to 2012 in the three countries (p<0.001). The share of articles increased significantly in China, but decreased significantly in Japan and USA (p<0.05). In 2012, USA contributed 35.3% of the total world output in orthopedics field and ranked 1st; Japan contributed 5.9% and ranked 4th; China contributed 5.2% and ranked 5th. Publications from USA had the highest accumulated IFs and the highest total citations of articles (USA > Japan > China, p<0.001). Average IF from USA was much higher than Japan and China (p<0.001). USA published the most articles in the top ten orthopedics journals (USA (14355) > Japan (1702) > China (487), p<0.01). Although China has undergone significant increase in annual number and percentage of scientific publication in orthopedics journals, it still lags far behind USA and Japan in the field of orthopedics in terms of quantity and quality.

Evaluating the relative environmental impact of countries.

PubMed

Bradshaw, Corey J A; Giam, Xingli; Sodhi, Navjot S

2010-05-03

Environmental protection is critical to maintain ecosystem services essential for human well-being. It is important to be able to rank countries by their environmental impact so that poor performers as well as policy 'models' can be identified. We provide novel metrics of country-specific environmental impact ranks - one proportional to total resource availability per country and an absolute (total) measure of impact - that explicitly avoid incorporating confounding human health or economic indicators. Our rankings are based on natural forest loss, habitat conversion, marine captures, fertilizer use, water pollution, carbon emissions and species threat, although many other variables were excluded due to a lack of country-specific data. Of 228 countries considered, 179 (proportional) and 171 (absolute) had sufficient data for correlations. The proportional index ranked Singapore, Korea, Qatar, Kuwait, Japan, Thailand, Bahrain, Malaysia, Philippines and Netherlands as having the highest proportional environmental impact, whereas Brazil, USA, China, Indonesia, Japan, Mexico, India, Russia, Australia and Peru had the highest absolute impact (i.e., total resource use, emissions and species threatened). Proportional and absolute environmental impact ranks were correlated, with mainly Asian countries having both high proportional and absolute impact. Despite weak concordance among the drivers of environmental impact, countries often perform poorly for different reasons. We found no evidence to support the environmental Kuznets curve hypothesis of a non-linear relationship between impact and per capita wealth, although there was a weak reduction in environmental impact as per capita wealth increases. Using structural equation models to account for cross-correlation, we found that increasing wealth was the most important driver of environmental impact. Our results show that the global community not only has to encourage better environmental performance in less-developed countries, especially those in Asia, there is also a requirement to focus on the development of environmentally friendly practices in wealthier countries.

Are Quantitative Measures of Academic Productivity Correlated with Academic Rank in Plastic Surgery? A National Study.

PubMed

Susarla, Srinivas M; Lopez, Joseph; Swanson, Edward W; Miller, Devin; O'Brien-Coon, Devin; Zins, James E; Serletti, Joseph M; Yaremchuk, Michael J; Manson, Paul N; Gordon, Chad R

2015-09-01

The purpose of this study was to investigate the correlation between quantitative measures of academic productivity and academic rank among full-time academic plastic surgeons. Bibliometric indices were computed for all full-time academic plastic surgeons in the United States. The primary study variable was academic rank. Bibliometric predictors included the Hirsch index, I-10 index, number of publications, number of citations, and highest number of citations for a single publication. Descriptive, bivariate, and correlation analyses were computed. Multiple comparisons testing was used to calculate adjusted associations for subgroups. For all analyses, a value of p < 0.05 was considered significant. The cohort consisted of 607 plastic surgeons across 91 Accreditation Council for Graduate Medical Education-approved programs. Of them, 4.1 percent were instructors/lecturers, 43.7 percent were assistant professors, 22.1 percent were associate professors, 25.7 percent were professors, and 4.4 percent were endowed professors. Mean values were as follows: Hirsch index, 10.2 ± 9.0; I-10 index, 17.2 ± 10.2; total number of publications, 45.5 ± 69.4; total number of citations, 725.0 ± 1448.8; and highest number of citations for a single work, 117.8 ± 262.4. Correlation analyses revealed strong associations of the Hirsch index, I-10 index, number of publications, and number of citations with academic rank (rs = 0.62 to 0.64; p < 0.001). Academic rank in plastic surgery is strongly correlated with several quantitative metrics of research productivity. Although academic promotion is the result of success in multiple different areas, bibliometric measures may be useful adjuncts for assessment of research productivity.

The link between obesity and the built environment. Evidence from an ecological analysis of obesity and vehicle miles of travel in California.

PubMed

Lopez-Zetina, Javier; Lee, Howard; Friis, Robert

2006-12-01

Obesity and physical inactivity are known to be risk factors for many chronic diseases including hypertension, coronary artery disease, diabetes, and cancer. We sought to explore the association between an indicator of transportation data (Vehicle Miles of Travel, VMT) at the county level as it relates to obesity and physical inactivity in California. Data from the California Health Interview Survey 2001 (CHIS 2001), the US 2000 Census, and the California Department of Transportation were merged to examine ecological correlations between vehicle miles of travel, population density, commute time, and county indicators of obesity and physical inactivity. Obesity was measured by body mass index (BMI). Physical inactivity was based on self-reported behaviors including walking, bicycling, and moderate to vigorous activity. The unit of analysis was the county. Thirty-three counties in California with population size greater than 100,000 persons per county were retained in the analyses. CHIS 2001 statewide obesity prevalence ranged from 11.2% to 28.5% by county. Physical inactivity ranged from 13.4% to 35.7%. Daily vehicle miles of travel ranged from 3.3 million to 183.8 million per county. By rank bivariate correlation, obesity and physical inactivity were significantly associated (p<0.01). Furthermore, by rank analysis of variance, the highest mean rank obesity was associated with the highest rank of VMT (p<0.01). Similar rank patterns were observed between obesity and physical inactivity and commute time. Associations between VMT and physical inactivity were examined but failed to reach statistical significance. This analysis adds to the growing evidence supporting the association between VMT (a measure of automobile transportation) and obesity. An urban design characterized by over dependence on motorized transportation may be related to adverse health effects.

IRCAD recommendation on safe laparoscopic cholecystectomy.

PubMed

Conrad, Claudius; Wakabayashi, Go; Asbun, Horacio J; Dallemagne, Bernard; Demartines, Nicolas; Diana, Michele; Fuks, David; Giménez, Mariano Eduardo; Goumard, Claire; Kaneko, Hironori; Memeo, Riccardo; Resende, Alexandre; Scatton, Olivier; Schneck, Anne-Sophie; Soubrane, Olivier; Tanabe, Minoru; van den Bos, Jacqueline; Weiss, Helmut; Yamamoto, Masakazu; Marescaux, Jacques; Pessaux, Patrick

2017-11-01

An expert recommendation conference was conducted to identify factors associated with adverse events during laparoscopic cholecystectomy (LC) with the goal of deriving expert recommendations for the reduction of biliary and vascular injury. Nineteen hepato-pancreato-biliary (HPB) surgeons from high-volume surgery centers in six countries comprised the Research Institute Against Cancer of the Digestive System (IRCAD) Recommendations Group. Systematic search of PubMed, Cochrane, and Embase was conducted. Using nominal group technique, structured group meetings were held to identify key items for safer LC. Consensus was achieved when 80% of respondents ranked an item as 1 or 2 (Likert scale 1-4). Seventy-one IRCAD HPB course participants assessed the expert recommendations which were compared to responses of 37 general surgery course participants. The IRCAD recommendations were structured in seven statements. The key topics included exposure of the operative field, appropriate use of energy device and establishment of the critical view of safety (CVS), systematic preoperative imaging, cholangiogram and alternative techniques, role of partial and dome-down (fundus-first) cholecystectomy. Highest consensus was achieved on the importance of the CVS as well as dome-down technique and partial cholecystectomy as alternative techniques. The put forward IRCAD recommendations may help to promote safe surgical practice of LC and initiate specific training to avoid adverse events. © 2017 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

The PHAR-QA Project: Competency Framework for Pharmacy Practice—First Steps, the Results of the European Network Delphi Round 1

PubMed Central

Atkinson, Jeffrey; De Paepe, Kristien; Sánchez Pozo, Antonio; Rekkas, Dimitrios; Volmer, Daisy; Hirvonen, Jouni; Bozic, Borut; Skowron, Agnieska; Mircioiu, Constantin; Marcincal, Annie; Koster, Andries; Wilson, Keith; van Schravendijk, Chris

2015-01-01

PHAR-QA, funded by the European Commission, is producing a framework of competences for pharmacy practice. The framework is in line with the EU directive on sectoral professions and takes into account the diversity of the pharmacy profession and the on-going changes in healthcare systems (with an increasingly important role for pharmacists), and in the pharmaceutical industry. PHAR-QA is asking academia, students and practicing pharmacists to rank competences required for practice. The results show that competences in the areas of “drug interactions”, “need for drug treatment” and “provision of information and service” were ranked highest whereas those in the areas of “ability to design and conduct research” and “development and production of medicines” were ranked lower. For the latter two categories, industrial pharmacists ranked them higher than did the other five groups. PMID:28975918

A Study of Consistency in Design Selection and the Rank Ordering of Alternatives Using a Value Driven Design Approach

NASA Astrophysics Data System (ADS)

Subramanian, Tenkasi R.

In the current day, with the rapid advancement in technology, engineering design is growing in complexity. Nowadays, engineers have to deal with design problems that are large, complex and involving multi-level decision analyses. With the increase in complexity and size of systems, the production and development cost tend to overshoot the allocated budget and resources. This often results in project delays and project cancellation. This is particularly true for aerospace systems. Value Driven Design proves to be means to strengthen the design process and help counter such trends. Value Driven is a novel framework for optimization which puts stakeholder preferences at the forefront of the design process to capture their true preferences to present system alternatives that are consistent the stakeholder's expectations. Traditional systems engineering techniques promote communication of stakeholder preferences in the form of requirements which confines the design space by imposing additional constraints on it. This results in a design that does not capture the true preferences of the stakeholder. Value Driven Design provides an alternate approach to design wherein a value function is created that corresponds to the true preferences of the stakeholder. The applicability of VDD broad, but it is imperative to first explore its feasibility to ensure the development of an efficient, robust and elegant system design. The key to understanding the usability of VDD is to investigate the formation, propagation and use of a value function. This research investigates the use of rank correlation metrics to ensure consistent rank ordering of design alternatives, while investigating the fidelity of the value function. The impact of design uncertainties on rank ordering. A satellite design system consisting of a satellite, ground station and launch vehicle is used to demonstrate the use of the metrics to aid in decision support during the design process.

Development and validation of an Opioid Attractiveness Scale: a novel measure of the attractiveness of opioid products to potential abusers

PubMed Central

Butler, Stephen F; Benoit, Christine; Budman, Simon H; Fernandez, Kathrine C; McCormick, Cynthia; Venuti, Synne Wing; Katz, Nathaniel

2006-01-01

Background The growing trends in opioid abuse, assessment of the abuse liability of prescription opioid products, and growing efforts by the pharmaceutical industry to develop 'abuse-resistant' formulations highlight a need to understand the features that make one product more 'attractive' than another to potential abusers. We developed a scale to measure the 'attractiveness' of prescription opioids to potential abusers, and used the scale to measure the relative attractiveness of 14 opioid analgesic products. Methods First, the concept of attractiveness was empirically defined with a group of prescription opioid abusers and experts in opioid abuse using a process called Concept Mapping. Abuse liability consisted of two components: factors intrinsic to the drug formulation (e.g., speed of onset, duration) and factors extrinsic to drug formulation (e.g., availability, availability of alternatives, cost). A 17-item Opioid Attractiveness Scale (OAS) was constructed, focusing on factors intrinsic to the drug product. Results A total of 144 individuals participated in tests of validity and reliability. Internal consistency was excellent (Cronbach's α = 0.85–0.94). Drug rankings based on OAS scores achieved good inter-rater agreement (Kendall's W 0.37, p < 0.001). Agreement on drug OAS scores between the developmental sample and a confirmation sample was good (IntraClass Correlations [ICC] of 0.65–0.69). Global ratings of overall attractiveness of the 14 selected opioid products by substance abuse counselors corresponded with the rankings based on OAS ratings of the abuser group. Finally, substance abuse counselors completed the OAS, yielding a high level of correspondence with ratings by the abuser group (ICC = 0.83, p = 0.002). The OAS differentiated attractiveness among 14 selected pharmaceutical opioid products. OxyContin, Dilaudid, and Percocet were ranked highest (most attractive); Talwin NX and Duragesic were ranked lowest (least attractive). Conclusion An initial examination of the psychometric properties of the OAS suggests that it is a valid and reliable scale. The OAS may be useful in providing important guidance on product features that are attractive to potential abusers. PMID:16457713

Development and validation of an Opioid Attractiveness Scale: a novel measure of the attractiveness of opioid products to potential abusers.

PubMed

Butler, Stephen F; Benoit, Christine; Budman, Simon H; Fernandez, Kathrine C; McCormick, Cynthia; Venuti, Synne Wing; Katz, Nathaniel

2006-02-02

The growing trends in opioid abuse, assessment of the abuse liability of prescription opioid products, and growing efforts by the pharmaceutical industry to develop 'abuse-resistant' formulations highlight a need to understand the features that make one product more 'attractive' than another to potential abusers. We developed a scale to measure the 'attractiveness' of prescription opioids to potential abusers, and used the scale to measure the relative attractiveness of 14 opioid analgesic products. First, the concept of attractiveness was empirically defined with a group of prescription opioid abusers and experts in opioid abuse using a process called Concept Mapping. Abuse liability consisted of two components: factors intrinsic to the drug formulation (e.g., speed of onset, duration) and factors extrinsic to drug formulation (e.g., availability, availability of alternatives, cost). A 17-item Opioid Attractiveness Scale (OAS) was constructed, focusing on factors intrinsic to the drug product. A total of 144 individuals participated in tests of validity and reliability. Internal consistency was excellent (Cronbach's alpha = 0.85-0.94). Drug rankings based on OAS scores achieved good inter-rater agreement (Kendall's W 0.37, p < 0.001). Agreement on drug OAS scores between the developmental sample and a confirmation sample was good (IntraClass Correlations [ICC] of 0.65-0.69). Global ratings of overall attractiveness of the 14 selected opioid products by substance abuse counselors corresponded with the rankings based on OAS ratings of the abuser group. Finally, substance abuse counselors completed the OAS, yielding a high level of correspondence with ratings by the abuser group (ICC = 0.83, p = 0.002). The OAS differentiated attractiveness among 14 selected pharmaceutical opioid products. OxyContin, Dilaudid, and Percocet were ranked highest (most attractive); Talwin NX and Duragesic were ranked lowest (least attractive). An initial examination of the psychometric properties of the OAS suggests that it is a valid and reliable scale. The OAS may be useful in providing important guidance on product features that are attractive to potential abusers.

Chimpanzee females queue but males compete for social status

PubMed Central

Foerster, Steffen; Franz, Mathias; Murray, Carson M.; Gilby, Ian C.; Feldblum, Joseph T.; Walker, Kara K.; Pusey, Anne E.

2016-01-01

Dominance hierarchies are widespread in animal social groups and often have measureable effects on individual health and reproductive success. Dominance ranks are not static individual attributes, however, but instead are influenced by two independent processes: 1) changes in hierarchy membership and 2) successful challenges of higher-ranking individuals. Understanding which of these processes dominates the dynamics of rank trajectories can provide insights into fitness benefits of within-sex competition. This question has yet to be examined systematically in a wide range of taxa due to the scarcity of long-term data and a lack of appropriate methodologies for distinguishing between alternative causes of rank changes over time. Here, we expand on recent work and develop a new likelihood-based Elo rating method that facilitates the systematic assessment of rank dynamics in animal social groups, even when interaction data are sparse. We apply this method to characterize long-term rank trajectories in wild eastern chimpanzees (Pan troglodytes schweinfurthii) and find remarkable sex differences in rank dynamics, indicating that females queue for social status while males actively challenge each other to rise in rank. Further, our results suggest that natal females obtain a head start in the rank queue if they avoid dispersal, with potential fitness benefits. PMID:27739527

Supplier Selection Using Weighted Utility Additive Method

NASA Astrophysics Data System (ADS)

Karande, Prasad; Chakraborty, Shankar

2015-10-01

Supplier selection is a multi-criteria decision-making (MCDM) problem which mainly involves evaluating a number of available suppliers according to a set of common criteria for choosing the best one to meet the organizational needs. For any manufacturing or service organization, selecting the right upstream suppliers is a key success factor that will significantly reduce purchasing cost, increase downstream customer satisfaction and improve competitive ability. The past researchers have attempted to solve the supplier selection problem employing different MCDM techniques which involve active participation of the decision makers in the decision-making process. This paper deals with the application of weighted utility additive (WUTA) method for solving supplier selection problems. The WUTA method, an extension of utility additive approach, is based on ordinal regression and consists of building a piece-wise linear additive decision model from a preference structure using linear programming (LP). It adopts preference disaggregation principle and addresses the decision-making activities through operational models which need implicit preferences in the form of a preorder of reference alternatives or a subset of these alternatives present in the process. The preferential preorder provided by the decision maker is used as a restriction of a LP problem, which has its own objective function, minimization of the sum of the errors associated with the ranking of each alternative. Based on a given reference ranking of alternatives, one or more additive utility functions are derived. Using these utility functions, the weighted utilities for individual criterion values are combined into an overall weighted utility for a given alternative. It is observed that WUTA method, having a sound mathematical background, can provide accurate ranking to the candidate suppliers and choose the best one to fulfill the organizational requirements. Two real time examples are illustrated to prove its applicability and appropriateness in solving supplier selection problems.

Sparsity-weighted outlier FLOODing (OFLOOD) method: Efficient rare event sampling method using sparsity of distribution.

PubMed

Harada, Ryuhei; Nakamura, Tomotake; Shigeta, Yasuteru

2016-03-30

As an extension of the Outlier FLOODing (OFLOOD) method [Harada et al., J. Comput. Chem. 2015, 36, 763], the sparsity of the outliers defined by a hierarchical clustering algorithm, FlexDice, was considered to achieve an efficient conformational search as sparsity-weighted "OFLOOD." In OFLOOD, FlexDice detects areas of sparse distribution as outliers. The outliers are regarded as candidates that have high potential to promote conformational transitions and are employed as initial structures for conformational resampling by restarting molecular dynamics simulations. When detecting outliers, FlexDice defines a rank in the hierarchy for each outlier, which relates to sparsity in the distribution. In this study, we define a lower rank (first ranked), a medium rank (second ranked), and the highest rank (third ranked) outliers, respectively. For instance, the first-ranked outliers are located in a given conformational space away from the clusters (highly sparse distribution), whereas those with the third-ranked outliers are nearby the clusters (a moderately sparse distribution). To achieve the conformational search efficiently, resampling from the outliers with a given rank is performed. As demonstrations, this method was applied to several model systems: Alanine dipeptide, Met-enkephalin, Trp-cage, T4 lysozyme, and glutamine binding protein. In each demonstration, the present method successfully reproduced transitions among metastable states. In particular, the first-ranked OFLOOD highly accelerated the exploration of conformational space by expanding the edges. In contrast, the third-ranked OFLOOD reproduced local transitions among neighboring metastable states intensively. For quantitatively evaluations of sampled snapshots, free energy calculations were performed with a combination of umbrella samplings, providing rigorous landscapes of the biomolecules. © 2015 Wiley Periodicals, Inc.

Comparing energy sources for surgical ablation of atrial fibrillation: a Bayesian network meta-analysis of randomized, controlled trials.

PubMed

Phan, Kevin; Xie, Ashleigh; Kumar, Narendra; Wong, Sophia; Medi, Caroline; La Meir, Mark; Yan, Tristan D

2015-08-01

Simplified maze procedures involving radiofrequency, cryoenergy and microwave energy sources have been increasingly utilized for surgical treatment of atrial fibrillation as an alternative to the traditional cut-and-sew approach. In the absence of direct comparisons, a Bayesian network meta-analysis is another alternative to assess the relative effect of different treatments, using indirect evidence. A Bayesian meta-analysis of indirect evidence was performed using 16 published randomized trials identified from 6 databases. Rank probability analysis was used to rank each intervention in terms of their probability of having the best outcome. Sinus rhythm prevalence beyond the 12-month follow-up was similar between the cut-and-sew, microwave and radiofrequency approaches, which were all ranked better than cryoablation (respectively, 39, 36, and 25 vs 1%). The cut-and-sew maze was ranked worst in terms of mortality outcomes compared with microwave, radiofrequency and cryoenergy (2 vs 19, 34, and 24%, respectively). The cut-and-sew maze procedure was associated with significantly lower stroke rates compared with microwave ablation [odds ratio <0.01; 95% confidence interval 0.00, 0.82], and ranked the best in terms of pacemaker requirements compared with microwave, radiofrequency and cryoenergy (81 vs 14, and 1, <0.01% respectively). Bayesian rank probability analysis shows that the cut-and-sew approach is associated with the best outcomes in terms of sinus rhythm prevalence and stroke outcomes, and remains the gold standard approach for AF treatment. Given the limitations of indirect comparison analysis, these results should be viewed with caution and not over-interpreted. © The Author 2014. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

ZBB--a new skill for the financial manager.

PubMed

Thompson, G B; Pyhrr, P A

1979-03-01

Zero-based budgeting (ZBB) is a management decision-making tool currently gaining wide acceptance. ZBB is a budgeting approach which is useful for planning, controlling and coordinating financial and human resources. It involves the re-evaluation of all budgeted activities in terms of priorities established by the management. The traditional process of incremental budgeting differs from ZBB in that only the planned changes are evaluated in the former. In incremental budgeting, the base budget is considered authorized and required little attention. The ZBB process focuses on the whol budget. This is accomplished by: (1) identifying decision units; (2) evaluating each decision unit in terms of performance, costs, benefits, and alternate means of accomplishiing the objectives; (3) ranking the decision packages; and (4) preparing a budget for the highest priority decision packages. The effect of the ZBB approach is that new high priority programs may be funded by eliminating or reducing existing lower-priority programs. ZBB is viewed as a logical process which can combine many of the elements of good management.

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

Horton, David Scott

Petroleum prices have made alternative fuel crops a viable option for ethanol production. Sweet sorghum [Sorghum bicolor] is a non-food crop that may produce large quantities of ethanol with minimal inputs. Eleven cultivars were planted in 2008 and 2009 as a half-season crop. Four-row plots 6.9 m by 0.5 m, were monitored bimonthly for °Brix, height, and sugar accumulation. Yield and extractable sap were taken at the end of season. Stalk yield was greatest for the cultivar Sugar Top (4945 kg ha-1) and lowest for Simon (1054 kg ha-1). Dale ranked highest ethanol output (807 L ha-1) while Simon (123more » L ha-1) is the lowest. All cultivars peak Brix accumulation occurs in early October. Individual sugar concentrations indicated sucrose is the predominant sugar with glucose and fructose levels dependent on cultivar. Supplemental ethanol in fermented wort was the best preservative tested to halt degradation of sorghum wort.« less

Identification of priorities for improvement of medication safety in primary care: a PRIORITIZE study.

PubMed

Tudor Car, Lorainne; Papachristou, Nikolaos; Gallagher, Joseph; Samra, Rajvinder; Wazny, Kerri; El-Khatib, Mona; Bull, Adrian; Majeed, Azeem; Aylin, Paul; Atun, Rifat; Rudan, Igor; Car, Josip; Bell, Helen; Vincent, Charles; Franklin, Bryony Dean

2016-11-16

Medication error is a frequent, harmful and costly patient safety incident. Research to date has mostly focused on medication errors in hospitals. In this study, we aimed to identify the main causes of, and solutions to, medication error in primary care. We used a novel priority-setting method for identifying and ranking patient safety problems and solutions called PRIORITIZE. We invited 500 North West London primary care clinicians to complete an open-ended questionnaire to identify three main problems and solutions relating to medication error in primary care. 113 clinicians submitted responses, which we thematically synthesized into a composite list of 48 distinct problems and 45 solutions. A group of 57 clinicians randomly selected from the initial cohort scored these and an overall ranking was derived. The agreement between the clinicians' scores was presented using the average expert agreement (AEA). The study was conducted between September 2013 and November 2014. The top three problems were incomplete reconciliation of medication during patient 'hand-overs', inadequate patient education about their medication use and poor discharge summaries. The highest ranked solutions included development of a standardized discharge summary template, reduction of unnecessary prescribing, and minimisation of polypharmacy. Overall, better communication between the healthcare provider and patient, quality assurance approaches during medication prescribing and monitoring, and patient education on how to use their medication were considered the top priorities. The highest ranked suggestions received the strongest agreement among the clinicians, i.e. the highest AEA score. Clinicians identified a range of suggestions for better medication management, quality assurance procedures and patient education. According to clinicians, medication errors can be largely prevented with feasible and affordable interventions. PRIORITIZE is a new, convenient, systematic, and replicable method, and merits further exploration with a view to becoming a part of a routine preventative patient safety monitoring mechanism.

Do diseases have a prestige hierarchy? A survey among physicians and medical students.

PubMed

Album, Dag; Westin, Steinar

2008-01-01

Surveys have shown that the prestige of medical specialities is ordered hierarchically. We investigate whether similar tacit agreement in the medical community also applies to diseases, since such rankings can affect priority settings in medical practice. A cross-sectional survey was performed in three samples of physicians and medical students in Norway in 2002. A questionnaire was sent to 305 senior doctors (response rate, 79%), 500 general practitioners (response rate, 65%) and 490 final-year medical students (response rate, 64%). Outcome measures were ratings on a 1-9 scale of the prestige these respondents believed most health personnel would accord to a sample set of 38 different diseases as well as 23 medical specialities. Both diseases and specialities were clearly and consistently ranked according to prestige. Myocardial infarction, leukaemia and brain tumour were among the highest ranked, and fibromyalgia and anxiety neurosis were among the lowest. Among specialities, neurosurgery and thoracic surgery were accorded the highest rank, and geriatrics and dermatovenerology the lowest. Our interpretation of the data is that diseases and specialities associated with technologically sophisticated, immediate and invasive procedures in vital organs located in the upper parts of the body are given high prestige scores, especially where the typical patient is young or middle-aged. At the other end, low prestige scores are given to diseases and specialities associated with chronic conditions located in the lower parts of the body or having no specific bodily location, with less visible treatment procedures, and with elderly patients.

Statistics for the Relative Detectability of Chemicals in Weak Gaseous Plumes in LWIR Hyperspectral Imagery

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

Metoyer, Candace N.; Walsh, Stephen J.; Tardiff, Mark F.

2008-10-30

The detection and identification of weak gaseous plumes using thermal imaging data is complicated by many factors. These include variability due to atmosphere, ground and plume temperature, and background clutter. This paper presents an analysis of one formulation of the physics-based model that describes the at-sensor observed radiance. The motivating question for the analyses performed in this paper is as follows. Given a set of backgrounds, is there a way to predict the background over which the probability of detecting a given chemical will be the highest? Two statistics were developed to address this question. These statistics incorporate data frommore » the long-wave infrared band to predict the background over which chemical detectability will be the highest. These statistics can be computed prior to data collection. As a preliminary exploration into the predictive ability of these statistics, analyses were performed on synthetic hyperspectral images. Each image contained one chemical (either carbon tetrachloride or ammonia) spread across six distinct background types. The statistics were used to generate predictions for the background ranks. Then, the predicted ranks were compared to the empirical ranks obtained from the analyses of the synthetic images. For the simplified images under consideration, the predicted and empirical ranks showed a promising amount of agreement. One statistic accurately predicted the best and worst background for detection in all of the images. Future work may include explorations of more complicated plume ingredients, background types, and noise structures.« less

Citation analysis of mental health nursing journals: how should we rank thee?

PubMed

Hunt, Glenn E; Happell, Brenda; Chan, Sally W-C; Cleary, Michelle

2012-12-01

The journal impact factor (JIF), and how best to rate the performance of a journal and the articles they contain, are areas of great debate. The aim of this paper was to assess various ranking methods of journal quality for mental health nursing journals, and to list the top 10 articles that have received the most number of citations to date. Seven mental health nursing journals were chosen for the analysis of citations they received in 2010, as well as their current impact factors from two sources, and other data for ranking purposes. There was very little difference in the top four mental health nursing journals and their overall rankings when combining various bibliometric indicators. That said, the International Journal of Mental Health Nursing is currently the highest ranked mental health nursing journal based on JIF, but publishes fewer articles per year compared to other journals. Overall, very few articles received 50 or more citations. This study shows that researchers need to consider more than one ranking method when deciding where to send or publish their research. © 2012 The Authors. International Journal of Mental Health Nursing © 2012 Australian College of Mental Health Nurses Inc.

Abundances of polycyclic aromatic hydrocarbons (PAHs) in 14 chinese and american coals and their relation to coal rank and weathering

USGS Publications Warehouse

Wang, R.; Liu, Gaisheng; Zhang, Jiahua; Chou, C.-L.; Liu, J.

2010-01-01

The abundances of 16 polycyclic aromatic hydrocarbons (PAHs) on the priority list of the United States Environmental Protection Agency (U.S. EPA) have been determined in 14 Chinese and American coals. The ranks of the samples range from lignite, bituminous coal, anthracite, to natural coke. Soxhlet extraction was conducted on each coal for 48 h. The extract was analyzed on a gas chromatograph-mass spectrometer (GC-MS). The results show that the total PAH content ranged from 0.31 to 57.6 ??g/g of coal (on a dry basis). It varied with coal rank and is highest in the maturity range of bituminous coal rank. High-molecular-weight (HMW) PAHs are predominant in low-rank coals, but low-molecular-weight (LMW) PAHs are predominant in high-rank coals. The low-sulfur coals have a higher PAH content than high-sulfur coals. It may be explained by an increasing connection between disulfide bonds and PAHs in high-sulfur coal. In addition, it leads us to conclude that the PAH content of coals may be related to the depositional environment. ?? 2010 American Chemical Society.

Estimating willingness to accept using paired comparison choice experiments: tests of robustness

Treesearch

David C. Kingsley; Thomas C. Brown

2013-01-01

Paired comparison (PC) choice experiments offer researchers and policy-makers an alternative nonmarket valuation method particularly apt when a ranking of the public's priorities across policy alternatives is paramount. Similar to contingent valuation, PC choice experiments estimate the total value associated with a specific environmental good or service. Similar...

On the money

NASA Astrophysics Data System (ADS)

2014-10-01

Increases in governmental funding for research are outmatched by the swelling ranks of scientists competing for grants. Physicists are starting to look for creative alternatives to complement their funding.

How they won Rugby World Cup through height, mass and collective experience.

PubMed

Sedeaud, Adrien; Marc, Andy; Schipman, Julien; Tafflet, Muriel; Hager, Jean-Philippe; Toussaint, Jean-François

2012-06-01

To investigate the evolution of anthropometric characteristics in World Cup rugby players and identify elements associated with performance. Age, weight and height were collected for 2692 World Cup rugby players as well as rankings in each World Cup, and collective experience of winners, finalists, semifinalists and quarter finalists in comparison to the rest of the competitors. Anthropometric parameters were compared according to age and position (back and forwards). From 1987 to 2007, forwards and backs have become heavier by 6.63 and 6.68 kg and taller by 0.61 and 1.09 cm, respectively. The collective experience of the forwards' pack is a value increasing with the final ranking attained, as well as the weight of forwards and the height of backs. For all Rugby World Cups, the highest performing teams have the tallest backs and heaviest forwards with the highest percentage of collective experience.

A ranking of net national contributions to climate change mitigation through tropical forest conservation.

PubMed

Carrasco, L R; Papworth, S K

2014-12-15

Deforestation in tropical regions causes 15% of global anthropogenic carbon emissions and reduces the mitigation potential of carbon sequestration services. A global market failure occurs as the value of many ecosystem services provided by forests is not recognised by the markets. Identifying the contribution of individual countries to tropical carbon stocks and sequestration might help identify responsibilities and facilitate debate towards the correction of the market failure through international payments for ecosystem services. We compare and rank tropical countries' contributions by estimating carbon sequestration services vs. emissions disservices. The annual value of tropical carbon sequestration services in 2010 from 88 tropical countries was estimated to range from $2.8 to $30.7 billion, using market and social prices of carbon respectively. Democratic Republic of Congo, India and Sudan contribute the highest net carbon sequestration, whereas Brazil, Nigeria and Indonesia are the highest net emitters. Copyright © 2014 Elsevier Ltd. All rights reserved.

Rutgers University Subcontract B611610 Final Report

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

Soundarajan, Sucheta; Eliassi-Rad, Tina; Gallagher, Brian

Given an incomplete (i.e., partially-observed) network, which nodes should we actively probe in order to achieve the highest accuracy for a given network feature? For example, consider a cyber-network administrator who observes only a portion of the network at time t and wants to accurately identify the most important (e.g., highest PageRank) nodes in the complete network. She has a limited budget for probing the network. Of all the nodes she has observed, which should she probe in order to most accurately identify the important nodes? We propose a novel and scalable algorithm, MaxOutProbe, and evaluate it w.r.t. four networkmore » features (largest connected component, PageRank, core-periphery, and community detection), five network sampling strategies, and seven network datasets from different domains. Across a range of conditions, MaxOutProbe demonstrates consistently high performance relative to several baseline strategies« less

Implementation of Instrument Based on Eight Health Related Quality of Life Domains for Measuring of Willingness to Pay for Psoriasis Treatment.

PubMed

Dobrev, Hristo P; Atanasov, Nikolay G; Dimitrova, Donka D

2017-09-01

Psoriasis vulgaris (PsV) is a chronic skin condition that has a major impact on health-related quality of life (HRQOL). To determine the individual burden of PsV on HRQOL using willingness to pay (WTP) instrument. Fifty-one consecutive PsV patients were asked to evaluate their overall health and psoriasis affected health by visual analogue scale (VAS), and interviewed on 8 domains (physical, emotional, sleep, work, social, self-care, intimacy, and concentration) of HRQOL and WTP for a hypothetical cure in each domain. Two additional questions proposing 6 alternatives for therapy were also asked. The analysis is performed with descriptive and frequency statistics, Mann-Whitney and Kruskal-Wallis tests. The domains ranked highly were: physical comfort (90%), social comfort (77%), emotional health (75%) and work (53%). The following tendencies concerning WTP for top four impacted domains were found: the median WTP were the highest in the top impacted domains; the younger patients were willing to pay more than the older ones; the highest median WTP amounts appear in the lowest income group; the highest median WTP is associated with smaller psoriasis affected health VAS scores. The largest proportion and number of patients (37.3%, n=19) stated preferences for the systemic therapy. The second preferred choice was the thalassotherapy (29.4%, n=15). The utility and reliability of the instrument based on the assessment of WTP stated preferences for 8 domains of HRQOL for evaluation the individual burden of psoriasis were strongly supported.

Genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses using mixed models.

PubMed

Oliveira, D G; Rocha, M M; Damasceno-Silva, K J; Sá, F V; Lima, L R L; Resende, M D V

2017-08-17

The aim of this study was to estimate the genotypic gain with simultaneous selection of production, nutrition, and culinary traits in cowpea crosses and backcrosses and to compare different selection indexes. Eleven cowpea populations were evaluated in a randomized complete block design with four replications. Fourteen traits were evaluated, and the following parameters were estimated: genotypic variation coefficient, genotypic determination coefficient, experimental quality indicator and selection reliability, estimated genotypic values ​​- BLUE, genotypic correlation coefficient among traits, and genotypic gain with simultaneous selection of all traits. The genotypic gain was estimated based on tree selection indexes: classical, multiplicative, and the sum of ranks. The genotypic variation coefficient was higher than the environmental variation coefficient for the number of days to start flowering, plant type, the weight of one hundred grains, grain index, and protein concentration. The majority of the traits presented genotypic determination coefficient from medium to high magnitude. The identification of increases in the production components is associated with decreases in protein concentration, and the increase in precocity leads to decreases in protein concentration and cooking time. The index based on the sum of ranks was the best alternative for simultaneous selection of traits in the cowpea segregating populations resulting from the crosses and backcrosses evaluated, with emphasis on the F 4 BC 12 , F 4 C 21 , and F 4 C 12 populations, which had the highest genotypic gains.

A fuzzy stochastic framework for managing hydro-environmental and socio-economic interactions under uncertainty

NASA Astrophysics Data System (ADS)

Subagadis, Yohannes Hagos; Schütze, Niels; Grundmann, Jens

2014-05-01

An amplified interconnectedness between a hydro-environmental and socio-economic system brings about profound challenges of water management decision making. In this contribution, we present a fuzzy stochastic approach to solve a set of decision making problems, which involve hydrologically, environmentally, and socio-economically motivated criteria subjected to uncertainty and ambiguity. The proposed methodological framework combines objective and subjective criteria in a decision making procedure for obtaining an acceptable ranking in water resources management alternatives under different type of uncertainty (subjective/objective) and heterogeneous information (quantitative/qualitative) simultaneously. The first step of the proposed approach involves evaluating the performance of alternatives with respect to different types of criteria. The ratings of alternatives with respect to objective and subjective criteria are evaluated by simulation-based optimization and fuzzy linguistic quantifiers, respectively. Subjective and objective uncertainties related to the input information are handled through linking fuzziness and randomness together. Fuzzy decision making helps entail the linguistic uncertainty and a Monte Carlo simulation process is used to map stochastic uncertainty. With this framework, the overall performance of each alternative is calculated using an Order Weighted Averaging (OWA) aggregation operator accounting for decision makers' experience and opinions. Finally, ranking is achieved by conducting pair-wise comparison of management alternatives. This has been done on the basis of the risk defined by the probability of obtaining an acceptable ranking and mean difference in total performance for the pair of management alternatives. The proposed methodology is tested in a real-world hydrosystem, to find effective and robust intervention strategies for the management of a coastal aquifer system affected by saltwater intrusion due to excessive groundwater extraction for irrigated agriculture and municipal use. The results show that the approach gives useful support for robust decision-making and is sensitive to the decision makers' degree of optimism.

Climate and Anthropogenic Change in Aquatic Environments: A Cross Ecosystem Perspective

DTIC Science & Technology

2010-01-01

1009.1004]. Kleypas, J. A., R. A. Feely, V. J. Fabry, C. Langdon, C. L. Sabine, and L. L. Robbins. 2006. Impacts of ocean acidification on coral reefs ...deep sea, coastal oceans , and rocky intertidal) researchers ranked climate-related impacts (i.e., temperature and ocean acidification ) as the highest...related impacts (i.e., temperature and ocean acidification ) as the highest priority threats whereas estuarine, marsh, wetland, stream, and lake

Setting local rank constraints by orthogonal projections for image resolution analysis: application to the determination of a low dose pharmaceutical compound.

PubMed

Boiret, Mathieu; de Juan, Anna; Gorretta, Nathalie; Ginot, Yves-Michel; Roger, Jean-Michel

2015-09-10

Raman chemical imaging provides chemical and spatial information about pharmaceutical drug product. By using resolution methods on acquired spectra, the objective is to calculate pure spectra and distribution maps of image compounds. With multivariate curve resolution-alternating least squares, constraints are used to improve the performance of the resolution and to decrease the ambiguity linked to the final solution. Non negativity and spatial local rank constraints have been identified as the most powerful constraints to be used. In this work, an alternative method to set local rank constraints is proposed. The method is based on orthogonal projections pretreatment. For each drug product compound, raw Raman spectra are orthogonally projected to a basis including all the variability from the formulation compounds other than the product of interest. Presence or absence of the compound of interest is obtained by observing the correlations between the orthogonal projected spectra and a pure spectrum orthogonally projected to the same basis. By selecting an appropriate threshold, maps of presence/absence of compounds can be set up for all the product compounds. This method appears as a powerful approach to identify a low dose compound within a pharmaceutical drug product. The maps of presence/absence of compounds can be used as local rank constraints in resolution methods, such as multivariate curve resolution-alternating least squares process in order to improve the resolution of the system. The method proposed is particularly suited for pharmaceutical systems, where the identity of all compounds in the formulations is known and, therefore, the space of interferences can be well defined. Copyright © 2015 Elsevier B.V. All rights reserved.

Unbiased split variable selection for random survival forests using maximally selected rank statistics.

PubMed

Wright, Marvin N; Dankowski, Theresa; Ziegler, Andreas

2017-04-15

The most popular approach for analyzing survival data is the Cox regression model. The Cox model may, however, be misspecified, and its proportionality assumption may not always be fulfilled. An alternative approach for survival prediction is random forests for survival outcomes. The standard split criterion for random survival forests is the log-rank test statistic, which favors splitting variables with many possible split points. Conditional inference forests avoid this split variable selection bias. However, linear rank statistics are utilized by default in conditional inference forests to select the optimal splitting variable, which cannot detect non-linear effects in the independent variables. An alternative is to use maximally selected rank statistics for the split point selection. As in conditional inference forests, splitting variables are compared on the p-value scale. However, instead of the conditional Monte-Carlo approach used in conditional inference forests, p-value approximations are employed. We describe several p-value approximations and the implementation of the proposed random forest approach. A simulation study demonstrates that unbiased split variable selection is possible. However, there is a trade-off between unbiased split variable selection and runtime. In benchmark studies of prediction performance on simulated and real datasets, the new method performs better than random survival forests if informative dichotomous variables are combined with uninformative variables with more categories and better than conditional inference forests if non-linear covariate effects are included. In a runtime comparison, the method proves to be computationally faster than both alternatives, if a simple p-value approximation is used. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Use of video to facilitate sideline concussion diagnosis and management decision-making.

PubMed

Davis, Gavin; Makdissi, Michael

2016-11-01

Video analysis can provide critical information to improve diagnostic accuracy and speed of clinical decision-making in potential cases of concussion. The objective of this study was to validate a hierarchical flowchart for the assessment of video signs of concussion, and to determine whether its implementation could improve the process of game day video assessment. Prospective cohort study. All impacts and collisions potentially resulting in a concussion were identified during 2012 and 2013 Australian Football League (AFL) seasons. Consensus definitions were developed for clinical signs associated with concussion. A hierarchical flowchart was developed based on the reliability and validity of the video signs of concussion. Ninety videos were assessed, with 45 incidents of clinically confirmed concussion, and 45 cases where no concussion was sustained. Each video was examined using the hierarchical flowchart, and a single response was given for each video based on the highest-ranking element in the flowchart. No protective action, impact seizure, motor incoordination or blank/vacant look were the highest ranked video signs in almost half of the clinically confirmed concussions, but in only 8.8% of non-concussed individuals. The presence of facial injury, clutching at the head and slow to get up were the highest ranked sign in 77.7% of non-concussed individuals. This study suggests that the implementation of a flowchart model could improve timely assessment of concussion, and it identifies the video signs that should trigger automatic removal from play. Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Evidenced-Based Guidelines on the Treatment of Fibromyalgia Patients: Are They Consistent and If Not, Why Not? Have Effective Psychological Treatments Been Overlooked?

PubMed

Thieme, Kati; Mathys, Marc; Turk, Dennis C

2017-07-01

We compared the recommendations and methodology of several recent evidence-based guidelines for the management of patients with fibromyalgia published by professional organizations: 1) American Pain Society (APS; 2005), 2) Association of the Scientific Medical Societies in Germany (AWMF; 2012), 3) Canadian Pain Society (CPS; 2013; also used in the United Kingdom), and 4) European League Against Rheumatism (EULAR; 2016). Each guideline used systematic reviews and meta-analyses as highest level of evidence; APS, CPS, and AWMF also included individual randomized clinical trials. The APS, CPS, and AWMF assigned the highest ranking of recommendation to aerobic exercise, cognitive-behavioral therapy, amitriptyline, and multicomponent treatment. In contrast, the most recent EULAR guidelines assign the highest level of recommendation to exercise, contrary to the 2008 EULAR guidelines, which recommended pharmacotherapy. Although there was some consistency for pharmacological treatment recommendations among the 4 guidelines, APS, CPS, and AWMF guidelines gave the higher ranking to cognitive-behavioral therapy and multicomponent treatments. The inconsistencies across guidelines can be attributed to the criteria used for study inclusion, outcome measures used, weighting systems, and composition of the review panels. A guideline consensus is needed to harmonize the discrepancies. This article presents an overview and highlights the inconsistencies of 4 recent clinical practice guidelines for treatment of fibromyalgia patients related to study inclusion criteria, outcome measures used, ranking system used, and composition of the review panels. The discrepancies suggest a need to create a guideline consensus to synthesize guidelines. Copyright © 2016 American Pain Society. Published by Elsevier Inc. All rights reserved.

Senior Noncommissioned Officers’ APR Opinion Survey

DTIC Science & Technology

1977-02-01

the number of NCOs who chow each response alternative on each Item of the questionnaire. Secondly, it wE necessaty to make comparisons among NCOs... aRting Faton Ranked Differentiallyt by Grade Rank Giva , Rating Pastor 11? as to Ability to Train Others 20 24 26 .Pofessional Qualities 10 15 17...experience necessaty to evaluate senior NCOs. Many aldo thought that an unhealthy conflict of Interest arises when a senior NCO Is evaluated by another

Technology needs for high-speed rotorcraft, volume 1

NASA Technical Reports Server (NTRS)

Wilkerson, J. B.; Schneider, J. J.; Bartie, K. M.

1991-01-01

High-speed rotorcraft concepts and the technology needed to extend rotorcraft cruise speeds up to 450 knots (while retaining the helicopter attributes of low downwash velocities) were identified. Task I identified 20 concepts with high-speed potential. These concepts were qualitatively evaluated to determine the five most promising ones. These five concepts were designed with optimum wing loading and disk loading to a common NASA-defined military transport mission. The optimum designs were quantitatively compared against 11 key criteria and ranked accordingly. The two highest ranking concepts were selected for the further study.

RANKL/RANK: from bone loss to the prevention of breast cancer.

PubMed

Sigl, Verena; Jones, Laundette P; Penninger, Josef M

2016-11-01

RANK and RANKL, a receptor ligand pair belonging to the tumour necrosis factor family, are the critical regulators of osteoclast development and bone metabolism. Besides their essential function in bone, RANK and RANKL have also been identified as the key factors for the formation of a lactating mammary gland in pregnancy. Mechanistically, RANK and RANKL link the sex hormone progesterone with stem cell expansion and proliferation of mammary epithelial cells. Based on their normal physiology, RANKL/RANK control the onset of hormone-induced breast cancer through the expansion of mammary progenitor cells. Recently, we and others were able to show that RANK and RANKL are also critical regulators of BRCA1-mutation-driven breast cancer. Currently, the preventive strategy for BRCA1-mutation carriers includes preventive mastectomy, associated with wide-ranging risks and psychosocial effects. The search for an alternative non-invasive prevention strategy is therefore of paramount importance. As our work strongly implicates RANK and RANKL as key molecules involved in the initiation of BRCA1-associated breast cancer, we propose that anti-RANKL therapy could be a feasible preventive strategy for women carrying BRCA1 mutations, and by extension to other women with high risk of breast cancer. © 2016 The Authors.

Sparse subspace clustering for data with missing entries and high-rank matrix completion.

PubMed

Fan, Jicong; Chow, Tommy W S

2017-09-01

Many methods have recently been proposed for subspace clustering, but they are often unable to handle incomplete data because of missing entries. Using matrix completion methods to recover missing entries is a common way to solve the problem. Conventional matrix completion methods require that the matrix should be of low-rank intrinsically, but most matrices are of high-rank or even full-rank in practice, especially when the number of subspaces is large. In this paper, a new method called Sparse Representation with Missing Entries and Matrix Completion is proposed to solve the problems of incomplete-data subspace clustering and high-rank matrix completion. The proposed algorithm alternately computes the matrix of sparse representation coefficients and recovers the missing entries of a data matrix. The proposed algorithm recovers missing entries through minimizing the representation coefficients, representation errors, and matrix rank. Thorough experimental study and comparative analysis based on synthetic data and natural images were conducted. The presented results demonstrate that the proposed algorithm is more effective in subspace clustering and matrix completion compared with other existing methods. Copyright © 2017 Elsevier Ltd. All rights reserved.

Application of multiattribute decision-making methods for the determination of relative significance factor of impact categories.

PubMed

Noh, Jaesung; Lee, Kun Mo

2003-05-01

A relative significance factor (f(i)) of an impact category is the external weight of the impact category. The objective of this study is to propose a systematic and easy-to-use method for the determination of f(i). Multiattribute decision-making (MADM) methods including the analytical hierarchy process (AHP), the rank-order centroid method, and the fuzzy method were evaluated for this purpose. The results and practical aspects of using the three methods are compared. Each method shows the same trend, with minor differences in the value of f(i). Thus, all three methods can be applied to the determination of f(i). The rank order centroid method reduces the number of pairwise comparisons by placing the alternatives in order, although it has inherent weakness over the fuzzy method in expressing the degree of vagueness associated with assigning weights to criteria and alternatives. The rank order centroid method is considered a practical method for the determination of f(i) because it is easier and simpler to use compared to the AHP and the fuzzy method.

The application of a multi-parameter analysis in choosing the location of a new solid waste landfill in Serbia.

PubMed

Milosevic, Igor; Naunovic, Zorana

2013-10-01

This article presents a process of evaluation and selection of the most favourable location for a sanitary landfill facility from three alternative locations, by applying a multi-criteria decision-making (MCDM) method. An incorrect choice of location for a landfill facility can have a significant negative economic and environmental impact, such as the pollution of air, ground and surface waters. The aim of this article is to present several improvements in the practical process of landfill site selection using the VIKOR MCDM compromise ranking method integrated with a fuzzy analytic hierarchy process approach for determining the evaluation criteria weighing coefficients. The VIKOR method focuses on ranking and selecting from a set of alternatives in the presence of conflicting and non-commensurable (different units) criteria, and on proposing a compromise solution that is closest to the ideal solution. The work shows that valuable site ranking lists can be obtained using the VIKOR method, which is a suitable choice when there is a large number of relevant input parameters.

Rank-based pooling for deep convolutional neural networks.

PubMed

Shi, Zenglin; Ye, Yangdong; Wu, Yunpeng

2016-11-01

Pooling is a key mechanism in deep convolutional neural networks (CNNs) which helps to achieve translation invariance. Numerous studies, both empirically and theoretically, show that pooling consistently boosts the performance of the CNNs. The conventional pooling methods are operated on activation values. In this work, we alternatively propose rank-based pooling. It is derived from the observations that ranking list is invariant under changes of activation values in a pooling region, and thus rank-based pooling operation may achieve more robust performance. In addition, the reasonable usage of rank can avoid the scale problems encountered by value-based methods. The novel pooling mechanism can be regarded as an instance of weighted pooling where a weighted sum of activations is used to generate the pooling output. This pooling mechanism can also be realized as rank-based average pooling (RAP), rank-based weighted pooling (RWP) and rank-based stochastic pooling (RSP) according to different weighting strategies. As another major contribution, we present a novel criterion to analyze the discriminant ability of various pooling methods, which is heavily under-researched in machine learning and computer vision community. Experimental results on several image benchmarks show that rank-based pooling outperforms the existing pooling methods in classification performance. We further demonstrate better performance on CIFAR datasets by integrating RSP into Network-in-Network. Copyright © 2016 Elsevier Ltd. All rights reserved.

Payback as an investment criterion for sawmill improvement projects

Treesearch

G. B. Harpole

1983-01-01

Methods other than presented here should be used to assess projects for likely return on investment; but, payback is simple to calculate and can be used for calculations that will indicate the relative attractiveness of alternative improvement projects. This paper illustrates how payback ratios are calculated, how they can be used to rank alternative improvement...

Assessment for Equity and Inclusion. Embracing All Our Children. Transforming Teaching Series.

ERIC Educational Resources Information Center

Goodwin, A. Lin, Ed.

The chapters in this collection explore alternative assessment and give specific examples of successful efforts by teachers to develop their own systems of assessment. Taken together, these chapters are a rejection of the ranking and separating of students according to test scores, and an argument for richer forms of mixed alternative assessments.…

Multicriteria decision analysis in ranking of analytical procedures for aldrin determination in water.

PubMed

Tobiszewski, Marek; Orłowski, Aleksander

2015-03-27

The study presents the possibility of multi-criteria decision analysis (MCDA) application when choosing analytical procedures with low environmental impact. A type of MCDA, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), was chosen as versatile tool that meets all the analytical chemists--decision makers requirements. Twenty five analytical procedures for aldrin determination in water samples (as an example) were selected as input alternatives to MCDA analysis. Nine different criteria describing the alternatives were chosen from different groups--metrological, economical and the most importantly--environmental impact. The weights for each criterion were obtained from questionnaires that were sent to experts, giving three different scenarios for MCDA results. The results of analysis show that PROMETHEE is very promising tool to choose the analytical procedure with respect to its greenness. The rankings for all three scenarios placed solid phase microextraction and liquid phase microextraction--based procedures high, while liquid-liquid extraction, solid phase extraction and stir bar sorptive extraction--based procedures were placed low in the ranking. The results show that although some of the experts do not intentionally choose green analytical chemistry procedures, their MCDA choice is in accordance with green chemistry principles. The PROMETHEE ranking results were compared with more widely accepted green analytical chemistry tools--NEMI and Eco-Scale. As PROMETHEE involved more different factors than NEMI, the assessment results were only weakly correlated. Oppositely, the results of Eco-Scale assessment were well-correlated as both methodologies involved similar criteria of assessment. Copyright © 2015 Elsevier B.V. All rights reserved.

The Experience Elicited by Hallucinogens Presents the Highest Similarity to Dreaming within a Large Database of Psychoactive Substance Reports

PubMed Central

Sanz, Camila; Zamberlan, Federico; Erowid, Earth; Erowid, Fire; Tagliazucchi, Enzo

2018-01-01

Ever since the modern rediscovery of psychedelic substances by Western society, several authors have independently proposed that their effects bear a high resemblance to the dreams and dreamlike experiences occurring naturally during the sleep-wake cycle. Recent studies in humans have provided neurophysiological evidence supporting this hypothesis. However, a rigorous comparative analysis of the phenomenology (“what it feels like” to experience these states) is currently lacking. We investigated the semantic similarity between a large number of subjective reports of psychoactive substances and reports of high/low lucidity dreams, and found that the highest-ranking substance in terms of the similarity to high lucidity dreams was the serotonergic psychedelic lysergic acid diethylamide (LSD), whereas the highest-ranking in terms of the similarity to dreams of low lucidity were plants of the Datura genus, rich in deliriant tropane alkaloids. Conversely, sedatives, stimulants, antipsychotics, and antidepressants comprised most of the lowest-ranking substances. An analysis of the most frequent words in the subjective reports of dreams and hallucinogens revealed that terms associated with perception (“see,” “visual,” “face,” “reality,” “color”), emotion (“fear”), setting (“outside,” “inside,” “street,” “front,” “behind”) and relatives (“mom,” “dad,” “brother,” “parent,” “family”) were the most prevalent across both experiences. In summary, we applied novel quantitative analyses to a large volume of empirical data to confirm the hypothesis that, among all psychoactive substances, hallucinogen drugs elicit experiences with the highest semantic similarity to those of dreams. Our results and the associated methodological developments open the way to study the comparative phenomenology of different altered states of consciousness and its relationship with non-invasive measurements of brain physiology. PMID:29403350

Composite Flood Risk for Virgin Island

EPA Pesticide Factsheets

The Composite Flood Risk layer combines flood hazard datasets from Federal Emergency Management Agency (FEMA) flood zones, NOAA's Shallow Coastal Flooding, and the National Hurricane Center SLOSH model for Storm Surge inundation for category 1, 2, and 3 hurricanes.Geographic areas are represented by a grid of 10 by 10 meter cells and each cell has a ranking based on variation in exposure to flooding hazards: Moderate, High and Extreme exposure. Geographic areas in each input layers are ranked based on their probability of flood risk exposure. The logic was such that areas exposed to flooding on a more frequent basis were given a higher ranking. Thus the ranking incorporates the probability of the area being flooded. For example, even though a Category 3 storm surge has higher flooding elevations, the likelihood of the occurrence is lower than a Category 1 storm surge and therefore the Category 3 flood area is given a lower exposure ranking. Extreme exposure areas are those areas that are exposed to relatively frequent flooding.The ranked input layers are then converted to a raster for the creation of the composite risk layer by using cell statistics in spatial analysis. The highest exposure ranking for a given cell in any of the three input layers is assigned to the corresponding cell in the composite layer.For example, if an area (a cell) is rank as medium in the FEMA layer, moderate in the SLOSH layer, but extreme in the SCF layer, the cell will be considere

Cytochrome and Alternative Pathway Respiration in Tobacco (Effects of Salicylic Acid).

PubMed

Rhoads, D. M.; McIntosh, L.

1993-11-01

In suspension cultures of NT1 tobacco (Nicotiana tabacum L. cv Bright Yellow) cells the cytochrome pathway capacity increased between d 3 and d 4 following subculturing and reached the highest level observed on d 7. The capacity decreased significantly by d 10 and was at the same level on d 14. Both alternative pathway capacity and the amount of the 35-kD alternative oxidase protein increased significantly between d 5 and d 6, reached the highest point observed on d 7, remained constant until d 10, and decreased by d 14. The highest capacities of the alternative and cytochrome pathways and the highest amount of the 35-kD protein were attained on the day that cell cultures reached a stationary phase of growth. Addition of salicylic acid to cell cultures on d 4 caused a significant increase in alternative pathway capacity and a dramatic accumulation of the 35-kD protein by 12 h. The alternative pathway capacity and the protein level reached the highest level observed by 16 h after salicylic acid addition, and the cytochrome pathway capacity was at about the same level at each time point. The accumulation of the 35-kD alternative oxidase protein was significantly decreased by addition of actinomycin D 1 h before salicylic acid and was blocked by addition of cycloheximide. These results indicate that de novo transcription and translation were necessary for salicylic acid to cause the maximum accumulation of the 35-kD protein.

Cytochrome and Alternative Pathway Respiration in Tobacco (Effects of Salicylic Acid).

PubMed Central

Rhoads, D. M.; McIntosh, L.

1993-01-01

In suspension cultures of NT1 tobacco (Nicotiana tabacum L. cv Bright Yellow) cells the cytochrome pathway capacity increased between d 3 and d 4 following subculturing and reached the highest level observed on d 7. The capacity decreased significantly by d 10 and was at the same level on d 14. Both alternative pathway capacity and the amount of the 35-kD alternative oxidase protein increased significantly between d 5 and d 6, reached the highest point observed on d 7, remained constant until d 10, and decreased by d 14. The highest capacities of the alternative and cytochrome pathways and the highest amount of the 35-kD protein were attained on the day that cell cultures reached a stationary phase of growth. Addition of salicylic acid to cell cultures on d 4 caused a significant increase in alternative pathway capacity and a dramatic accumulation of the 35-kD protein by 12 h. The alternative pathway capacity and the protein level reached the highest level observed by 16 h after salicylic acid addition, and the cytochrome pathway capacity was at about the same level at each time point. The accumulation of the 35-kD alternative oxidase protein was significantly decreased by addition of actinomycin D 1 h before salicylic acid and was blocked by addition of cycloheximide. These results indicate that de novo transcription and translation were necessary for salicylic acid to cause the maximum accumulation of the 35-kD protein. PMID:12231986

Courtship and mating in free-living spotted hyenas

USGS Publications Warehouse

Szykman, M.; Van Horn, R. C.; Engh, A.L.; Boydston, E.E.; Holekamp, K.E.

2007-01-01

Female spotted hyenas (Crocuta crocuta) are larger and more aggressive than males, and their genitalia are heavily 'masculinized'. These odd traits in females pose unusual challenges for males during courtship and copulation. Here our goals were to describe and quantify the behavior patterns involved in courtship and copulation in Crocuta, and determine whether rates of affiliative behavior directed toward females by males vary with female age, social rank, or time to conception. We also inquired whether consort formation with a particular female was necessary for a male to sire that female's cubs. Behavioral observations and paternity data based on 12 microsatellite loci were collected over 11 years from free-ranging hyenas in Kenya. Several of the courtship displays exhibited by male hyenas differed from those found in other carnivores, and appeared to reflect intense motivational conflict between tendencies to approach and flee from females. Most male advances were either ignored by females or elicited aggression from females toward males. Rates of male affiliative behavior toward females peaked around the time of conception. Although males behaved similarly toward young and old females in the highest social rank category, males directed more affiliative behavior toward older than younger females that were mid- and low-ranking. Multiple short mounts usually preceded a long mount, but intromission and ejaculation appeared to occur only during long mounts. Female receptivity was indicated by inhibited aggression toward the male and assumption of a distinctive receptive stance. The only behavior indicative of female proceptivity was following of the male by the female in mating contexts. Some males who sired cubs formed consortships with females whereas others did not, suggesting that individual male hyenas may adopt alternative reproductive tactics to attract and acquire mates. Our results also suggest that low fertility may be an important cost of female virilization in this species. ?? 2007 Brill Academic Publishers.

Web document ranking via active learning and kernel principal component analysis

NASA Astrophysics Data System (ADS)

Cai, Fei; Chen, Honghui; Shu, Zhen

2015-09-01

Web document ranking arises in many information retrieval (IR) applications, such as the search engine, recommendation system and online advertising. A challenging issue is how to select the representative query-document pairs and informative features as well for better learning and exploring new ranking models to produce an acceptable ranking list of candidate documents of each query. In this study, we propose an active sampling (AS) plus kernel principal component analysis (KPCA) based ranking model, viz. AS-KPCA Regression, to study the document ranking for a retrieval system, i.e. how to choose the representative query-document pairs and features for learning. More precisely, we fill those documents gradually into the training set by AS such that each of which will incur the highest expected DCG loss if unselected. Then, the KPCA is performed via projecting the selected query-document pairs onto p-principal components in the feature space to complete the regression. Hence, we can cut down the computational overhead and depress the impact incurred by noise simultaneously. To the best of our knowledge, we are the first to perform the document ranking via dimension reductions in two dimensions, namely, the number of documents and features simultaneously. Our experiments demonstrate that the performance of our approach is better than that of the baseline methods on the public LETOR 4.0 datasets. Our approach brings an improvement against RankBoost as well as other baselines near 20% in terms of MAP metric and less improvements using P@K and NDCG@K, respectively. Moreover, our approach is particularly suitable for document ranking on the noisy dataset in practice.

The Structural and Rank-Order Stability of Temperament in Young Children Based on a Laboratory-Observational Measure

PubMed Central

Dyson, Margaret W.; Olino, Thomas M.; Durbin, C. Emily; Goldsmith, H. Hill; Bufferd, Sara J.; Miller, Anna R.; Klein, Daniel N.

2015-01-01

It is generally assumed that temperament traits exhibit structural and rank-order stability over time. Most of the research on structural and rank-order stability has relied on parent-report measures. The present study used an alternative approach, a laboratory-observational measure (Laboratory Temperament Assessment Battery [Lab-TAB]), to examine the structural and rank-order stability of temperament traits in a community sample of young children (N = 447). Using structural equation modeling (SEM), we found that a similar five-factor structure consisting of the dimensions of Positive Affect/Interest, Sociability, Dysphoria, Fear/Inhibition, and Impulsivity vs. Constraint provided an adequate fit to the data at both age 3 and 6 years, suggesting good structural stability. Moreover, all five latent factors exhibited significant, albeit modest, rank-order stability from age 3 to 6. In addition, there were significant heterotypic associations of age 3 Sociability with age 6 PA/Interest, and age 3 Impulsivity vs. Constraint with age 6 Fear/Inhibition. PMID:25894709

Re-examining the upper limit of temporal pitch

PubMed Central

Macherey, Olivier; Carlyon, Robert P.

2015-01-01

Five normally-hearing listeners pitch-ranked harmonic complexes of different fundamental frequencies (F0s) filtered in three different frequency regions. Harmonics were summed either in sine, alternating sine-cosine (ALT), or pulse-spreading (PSHC) phase. The envelopes of ALT and PSHC complexes repeated at rates of 2F0 and 4F0. Pitch corresponded to those rates at low F0s, but, as F0 increased, there was a range of F0s over which pitch remained constant or dropped. Gammatone-filterbank simulations showed that, as F0 increased and the number of harmonics interacting in a filter dropped, the output of that filter switched from repeating at 2F0 or 4F0 to repeating at F0. A model incorporating this phenomenon accounted well for the data, except for complexes filtered into the highest frequency region (7800-10800 Hz). To account for the data in that region it was necessary to assume either that auditory filters at very high frequencies are sharper than traditionally believed, and/or that the auditory system applies smaller weights to filters whose outputs repeat at high rates. The results also provide new evidence on the highest pitch that can be derived from purely temporal cues, and corroborate recent reports that a complex pitch can be derived from very-high-frequency resolved harmonics. PMID:25480066

Rating competitors before tournament starts: How it's affecting team progression in a soccer tournament

NASA Astrophysics Data System (ADS)

Yusof, Muhammad Mat; Sulaiman, Tajularipin; Khalid, Ruzelan; Hamid, Mohamad Shukri Abdul; Mansor, Rosnalini

2014-12-01

In professional sporting events, rating competitors before tournament start is a well-known approach to distinguish the favorite team and the weaker teams. Various methodologies are used to rate competitors. In this paper, we explore four ways to rate competitors; least squares rating, maximum likelihood strength ratio, standing points in large round robin simulation and previous league rank position. The tournament metric we used to evaluate different types of rating approach is tournament outcome characteristics measure. The tournament outcome characteristics measure is defined by the probability that a particular team in the top 100q pre-tournament rank percentile progress beyond round R, for all q and R. Based on simulation result, we found that different rating approach produces different effect to the team. Our simulation result shows that from eight teams participate in knockout standard seeding, Perak has highest probability to win for tournament that use the least squares rating approach, PKNS has highest probability to win using the maximum likelihood strength ratio and the large round robin simulation approach, while Perak has the highest probability to win a tournament using previous league season approach.

Nutritional value of winter foods for whooping cranes

USGS Publications Warehouse

Nelson, J.T.; Slack, R.D.; Gee, G.F.

1996-01-01

We measured metabolizable energy and digestibility of Whooping Crane (Grus americana) winter foods (blue crab [Callinectes sapidus]), common Rangia clam (Rangia cuneata), wolfberry fruit (Lycium carolinianurn [wolfberry]), and live oak acorn (Ouercus virginiana [acorn])] with feeding trials to captive-reared Whooping Cranes. Apparent metabolizable energy coefficients (expressed as %) were for crab (34.1), Rangia clam (75.0), wolfberry (44.8), and acorn (43.2). Digestion coefficients for protein were lower for plant foods (48.9 and 53.4) than for animal foods (69.4 and 75.2). Digestion coefficients for total lipid differed among foods: highest and lowest lipid digestibility was for acorn (87.2) and wolfberry (60.0), respectively. We also determined total energy and percent protein and lipid of the four foods and stout razor clam (Tagelus plebeius); gross energy was 2-5x higher for acorn and wolfberry on a dry-weight basis than for blue crab and stout razor clam. Crude protein was 2-3x higher for blue crab than for wolfberry and stout razor clam. Wolfberry ranked the highest of five foods for metabolic energy and total lipid nutrient availability per kg of food ingested, and blue crab ranked highest for crude protein availability.

Facial protection conferred by cycle safety helmets: use of digitized image processing to develop a new nondestructive test.

PubMed

Harrison, M; Shepherd, J P

1997-07-01

Cycle safety helmets are designed to prevent head injury. Although most commercially available helmets conform to one of several national and international standards, individual designs differ widely, particularly in relation to face coverage. A method was developed to assess the potential for the differing designs to protect the face from injury. A nonimpact test was assessed, using digitized image-processing software (Digithurst Ltd.) to measure the shadow cast by a helmet rim under a collimated plane light source onto the face of a mannequin headform. Twelve helmet designs available internationally were tested and ranked with respect to the direct protection conferred (area of the face directly covered by the helmet) and indirect protection (area of the face shaded). The three highest-ranking helmets for direct protection (Rosebank Stackhat, Asphalt Warrior, and Lazer Voyager) also ranked the highest for indirect protection. These helmets were more inferiorly extended and were of a more bulky construction. It was concluded that the dimensions of cycle helmets in relation to face coverage are crucial in influencing the extent to which facial protection is conferred. International test standards need urgent revision to ensure that face coverage is optimized. Lower-face protection could be achieved through incorporation of a lower-face bar to cycle helmets.

Benchmarking Outpatient Rehabilitation Clinics Using Functional Status Outcomes.

PubMed

Gozalo, Pedro L; Resnik, Linda J; Silver, Benjamin

2016-04-01

To utilize functional status (FS) outcomes to benchmark outpatient therapy clinics. Outpatient therapy data from clinics using Focus on Therapeutic Outcomes (FOTO) assessments. Retrospective analysis of 538 clinics, involving 2,040 therapists and 90,392 patients admitted July 2006-June 2008. FS at discharge was modeled using hierarchical regression methods with patients nested within therapists within clinics. Separate models were estimated for all patients, for those with lumbar, and for those with shoulder impairments. All models risk-adjusted for intake FS, age, gender, onset, surgery count, functional comorbidity index, fear-avoidance level, and payer type. Inverse probability weighting adjusted for censoring. Functional status was captured using computer adaptive testing at intake and at discharge. Clinic and therapist effects explained 11.6 percent of variation in FS. Clinics ranked in the lowest quartile had significantly different outcomes than those in the highest quartile (p < .01). Clinics ranked similarly in lumbar and shoulder impairments (correlation = 0.54), but some clinics ranked in the highest quintile for one condition and in the lowest for the other. Benchmarking models based on validated FS measures clearly separated high-quality from low-quality clinics, and they could be used to inform value-based-payment policies. © Health Research and Educational Trust.

75 FR 26271 - Fair Housing Initiatives Program

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-11

... DEPARTMENT OF HOUSING AND URBAN DEVELOPMENT [Docket No. FR-5376-N-33] Fair Housing Initiatives... Department in selecting the highest ranked applicants to receive funds under the Fair Housing Initiatives... following initiatives; Private Enforcement, Education and Outreach, and Fair Housing Organizations. The...

Multi-criteria analysis for municipal solid waste management in a Brazilian metropolitan area.

PubMed

Santos, Simone Machado; Silva, Maisa Mendonça; Melo, Renata Maciel; Gavazza, Savia; Florencio, Lourdinha; Kato, Mario T

2017-10-15

The decision-making process involved in municipal solid waste management (MSWM) must consider more than just financial aspects, which makes it a difficult task in developing countries. The Recife Metropolitan Region (RMR) in the Northeast of Brazil faces a MSWM problem that has been ongoing since the 1970s, with no common solution. In order to direct short-term solutions, three MSWM alternatives were outlined for the RMR, considering the current and future situations, the time and cost involved and social/environmental criteria. A multi-criteria approach, based on the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), was proposed to rank these alternatives. The alternative that included two private landfill sites and seven transfer, sorting and composting stations was confirmed as the most suitable and stable option for short-term MSWM, considering the two scenarios for the criteria weights. Sensitivity analysis was also performed to support the robustness of the results. The implementation of separate collections would minimize the amount of waste buried, while maximizing the useful life of landfill sites and increasing the timeframe of the alternative. Overall, the multi-criteria analysis was helpful and accurate during the alternative selection process, considering the similarities and restrictions of each option, which can lead to difficulties during the decision-making process.

A decision tool for selecting trench cap designs

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

Paige, G.B.; Stone, J.J.; Lane, L.J.

1995-12-31

A computer based prototype decision support system (PDSS) is being developed to assist the risk manager in selecting an appropriate trench cap design for waste disposal sites. The selection of the {open_quote}best{close_quote} design among feasible alternatives requires consideration of multiple and often conflicting objectives. The methodology used in the selection process consists of: selecting and parameterizing decision variables using data, simulation models, or expert opinion; selecting feasible trench cap design alternatives; ordering the decision variables and ranking the design alternatives. The decision model is based on multi-objective decision theory and uses a unique approach to order the decision variables andmore » rank the design alternatives. Trench cap designs are evaluated based on federal regulations, hydrologic performance, cover stability and cost. Four trench cap designs, which were monitored for a four year period at Hill Air Force Base in Utah, are used to demonstrate the application of the PDSS and evaluate the results of the decision model. The results of the PDSS, using both data and simulations, illustrate the relative advantages of each of the cap designs and which cap is the {open_quotes}best{close_quotes} alternative for a given set of criteria and a particular importance order of those decision criteria.« less

Reliability evaluation of hermetic dual in-line flat microcircuit packages

NASA Technical Reports Server (NTRS)

Johnson, G. M.; Conaway, L. K.

1977-01-01

The relative strengths and weaknesses of 35 commonly used hermetic flat and dual in-line packages were determined and used to rank each of the packages according to a numerical weighting scheme for package attributes. The list of attributes included desirable features in five major areas: lead and lead seal, body construction, body materials, lid and lid seal, and marking. The metal flat pack and multilayer integral ceramic flat pack and DIP received the highest rankings, and the soft glass Cerdip and Cerpak types received the lowest rankings. Loss of package hermeticity due to lead and lid seal problems was found to be the predominant failure mode from the literature/data search. However, environmental test results showed that lead and lid seal failures due to thermal stressing was only a problem with the hard glass (Ceramic) body DIP utilizing a metal lid and/or bottom. Insufficient failure data were generated for the other package types tested to correlate test results with the package ranking.

Multimodal biometric system using rank-level fusion approach.

PubMed

Monwar, Md Maruf; Gavrilova, Marina L

2009-08-01

In many real-world applications, unimodal biometric systems often face significant limitations due to sensitivity to noise, intraclass variability, data quality, nonuniversality, and other factors. Attempting to improve the performance of individual matchers in such situations may not prove to be highly effective. Multibiometric systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. These systems help achieve an increase in performance that may not be possible using a single-biometric indicator. This paper presents an effective fusion scheme that combines information presented by multiple domain experts based on the rank-level fusion integration method. The developed multimodal biometric system possesses a number of unique qualities, starting from utilizing principal component analysis and Fisher's linear discriminant methods for individual matchers (face, ear, and signature) identity authentication and utilizing the novel rank-level fusion method in order to consolidate the results obtained from different biometric matchers. The ranks of individual matchers are combined using the highest rank, Borda count, and logistic regression approaches. The results indicate that fusion of individual modalities can improve the overall performance of the biometric system, even in the presence of low quality data. Insights on multibiometric design using rank-level fusion and its performance on a variety of biometric databases are discussed in the concluding section.

Quality rating and private-prices: Evidence from the nursing home industry.

PubMed

Huang, Sean Shenghsiu; Hirth, Richard A

2016-12-01

We use the rollout of the five-star rating of nursing homes to study how private-pay prices respond to quality rating. We find that star rating increases the price differential between top- and bottom-ranked facilities. On average, prices of top-ranked facilities increased by 4.8 to 6.0 percent more than the prices of bottom-ranked facilities. We find stronger price effects in markets that are less concentrated where consumers may have more choices of alternative nursing homes. Our results suggest that with simplified design and when markets are less concentrated, consumers are more responsive to quality reporting. Copyright © 2016 Elsevier B.V. All rights reserved.

Global funding trends for malaria research in sub-Saharan Africa: a systematic analysis.

PubMed

Head, Michael G; Goss, Sian; Gelister, Yann; Alegana, Victor; Brown, Rebecca J; Clarke, Stuart C; Fitchett, Joseph R A; Atun, Rifat; Scott, J Anthony G; Newell, Marie-Louise; Padmadas, Sabu S; Tatem, Andrew J

2017-08-01

Total domestic and international funding for malaria is inadequate to achieve WHO global targets in burden reduction by 2030. We describe the trends of investments in malaria-related research in sub-Saharan Africa and compare investment with national disease burden to identify areas of funding strength and potentially neglected populations. We also considered funding for malaria control. Research funding data related to malaria for 1997-2013 were sourced from existing datasets, from 13 major public and philanthropic global health funders, and from funding databases. Investments (reported in US$) were considered by geographical area and compared with data on parasite prevalence and populations at risk in sub-Saharan Africa. 45 sub-Saharan African countries were ranked by amount of research funding received. We found 333 research awards totalling US$814·4 million. Public health research covered $308·1 million (37·8%) and clinical trials covered $275·2 million (33·8%). Tanzania ($107·8 million [13·2%]), Uganda ($97·9 million [12·0%]), and Kenya ($92·9 million [11·4%]) received the highest sum of research investment and the most research awards. Malawi, Tanzania, and Uganda remained highly ranked after adjusting for national gross domestic product. Countries with a reasonably high malaria burden that received little research investment or funding for malaria control included Central African Republic (ranked 40th) and Sierra Leone (ranked 35th). Congo (Brazzaville) and Guinea had reasonably high malaria mortality, yet Congo (Brazzaville) ranked 38th and Guinea ranked 25th, thus receiving little investment. Some countries receive reasonably large investments in malaria-related research (Tanzania, Kenya, Uganda), whereas others receive little or no investments (Sierra Leone, Central African Republic). Research investments are typically highest in countries where funding for malaria control is also high. Investment strategies should consider more equitable research and operational investments across countries to include currently neglected and susceptible populations. Royal Society of Tropical Medicine and Hygiene and Bill & Melinda Gates Foundation. Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Health workforce remuneration: comparing wage levels, ranking, and dispersion of 16 occupational groups in 20 countries

PubMed Central

2013-01-01

Background This article represents the first attempt to explore remuneration in Human Resources for Health (HRH), comparing wage levels, ranking and dispersion of 16 HRH occupational groups in 20 countries (Argentina, Belarus, Belgium, Brazil, Chile, Colombia, the Czech Republic, Finland, Germany, India, Mexico, the Netherlands, Poland, Russian Federation, Republic of South Africa (RSA), Spain, Sweden, Ukraine, United Kingdom (UK), and United States of America (USA)). The main aim is to examine to what extent the wage rankings, standardized wage levels, and wage dispersion are similar between the 16 occupational groups and across the selected countries and what factors can be shown to be related to the differences that emerge. Method The pooled data from the continuous, worldwide, multilingual WageIndicator web survey between 2008 and 2011 (for selected HRH occupations, n=49,687) have been aggregated into a data file with median or mean remuneration values for 300 occupation/country cells. Hourly wages are expressed in standardized US Dollars (USD), all controlled for purchasing power parity (PPP) and indexed to 2011 levels. Results The wage ranking of 16 HRH occupational groups is fairly similar across countries. Overall Medical Doctors have the highest and Personal Care Workers the lowest median wages. Wage levels of Nursing & Midwifery Professionals vary largely. Health Care Managers have lower earnings than Medical Doctors in all except six of the 20 countries. The largest wage differences are found for the Medical Doctors earning 20 times less in Ukraine than in the US, and the Personal Care Workers, who earn nine times less in the Ukraine than in the Netherlands. No support is found for the assumption that the ratio across the highest and lowest earning HRH occupations is similar between countries: it varies from 2.0 in Sweden to 9.7 in Brazil. Moreover, an increase in the percentage of women in an occupation has a large downward effect on its wage rank. Conclusions This article breaks new ground by investigating for the first time the wage levels, ranking, and dispersion of occupational groups in the HRH workforce across countries. The explorative findings illustrate that the assumption of similarity in cross-country wage ranking holds, but that wage dispersion and wage levels are not similar. These findings might contribute to the policies for health workforce composition and the planning of healthcare provisions. PMID:23448429

Ability or Access-Ability: Differential Item Functioning of Items on Alternate Performance-Based Assessment Tests for Students with Visual Impairments

ERIC Educational Resources Information Center

Zebehazy, Kim T.; Zigmond, Naomi; Zimmerman, George J.

2012-01-01

Introduction: This study investigated differential item functioning (DIF) of test items on Pennsylvania's Alternate System of Assessment (PASA) for students with visual impairments and severe cognitive disabilities and what the reasons for the differences may be. Methods: The Wilcoxon signed ranks test was used to analyze differences in the scores…

College Women's Willingness to Participate in Alternative Marital and Family Forms: 1986 and 2003

ERIC Educational Resources Information Center

Billingham, Robert E., Sr.

2008-01-01

In 1986 (n = 359) and in 2003 (n = 111), single never married women enrolled at a large university in the mid-west completed questionnaires designed to investigate their willingness to participate in 13 different alternative marital and family forms. "Egalitarian" marriage was ranked first by women in both time periods with 93.5 and 95.6 percent…

Best practices for addressing pedestrian crashes on high-speed roadways.

DOT National Transportation Integrated Search

2015-10-01

Texas ranks as the worst state in the nation for interstate pedestrian fatalities. Almost 600 pedestrians died on : interstate roadways during the 5-year period between 2007 and 2011. Texas is the fourth-highest state in terms of : interstate pedestr...

Highest cited papers published in Neurology India: An analysis for the years 1993-2014.

PubMed

Pandey, Paritosh; Subeikshanan, V; Madhugiri, Venkatesh S

2016-01-01

The highest cited papers published in a journal provide a snapshot of the clinical practice and research in that specialty and/or region. The aim of this study was to determine the highest cited papers published in Neurology India and analyze their attributes. This study was a citation analysis of all papers published in Neurology India since online archiving commenced in 1993. All papers published in Neurology India between the years 1993-2014 were listed. The number of times each paper had been cited up till the time of performing this study was determined by performing a Google Scholar search. Published papers were then ranked on the basis of total times cited since publication and the annual citation rate. Statistical Techniques: Simple counts and percentages were used to report most results. The mean citations received by papers in various categories were compared using the Student's t-test or a one-way analysis of variance, as appropriate. All analyses were carried out on SAS University Edition (SAS/STAT®, SAS Institute Inc, NC, USA) and graphs were generated on MS Excel 2016. The top papers on the total citations and annual citation rate rank lists pertained to basic neuroscience research. The highest cited paper overall had received 139 citations. About a quarter of the papers published had never been cited at all. The major themes represented were vascular diseases and infections. The highest cited papers reflect the diseases that are of major concern in India. Certain domains such as trauma, allied neurosciences, and basic neuroscience research were underrepresented.

The Pareto Analysis for Establishing Content Criteria in Surgical Training.

PubMed

Kramp, Kelvin H; van Det, Marc J; Veeger, Nic J G M; Pierie, Jean-Pierre E N

2016-01-01

Current surgical training is still highly dependent on expensive operating room (OR) experience. Although there have been many attempts to transfer more training to the skills laboratory, little research is focused on which technical behaviors can lead to the highest profit when they are trained outside the OR. The Pareto principle states that in any population that contributes to a common effect, a few account for the bulk of the effect. This principle has been widely used in business management to increase company profits. This study uses the Pareto principle for establishing content criteria for more efficient surgical training. A retrospective study was conducted to assess verbal guidance provided by 9 supervising surgeons to 12 trainees performing 64 laparoscopic cholecystectomies in the OR. The verbal corrections were documented, tallied, and clustered according to the aimed change in novice behavior. The corrections were rank ordered, and a cumulative distribution curve was used to calculate which corrections accounted for 80% of the total number of verbal corrections. In total, 253 different verbal corrections were uttered 1587 times and were categorized into 40 different clusters of aimed changes in novice behaviors. The 35 highest-ranking verbal corrections (14%) and the 11 highest-ranking clusters (28%) accounted for 80% of the total number of given verbal corrections. Following the Pareto principle, we were able to identify the aspects of trainee behavior that account for most corrections given by supervisors during a laparoscopic cholecystectomy on humans. This strategy can be used for the development of new training programs to prepare the trainee in advance for the challenges encountered in the clinical setting in an OR. Copyright © 2016 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Pain conditions ranked by healthcare costs for members of a national health plan.

PubMed

Pasquale, Margaret K; Dufour, Robert; Schaaf, David; Reiners, Andrew T; Mardekian, Jack; Joshi, Ashish V; Patel, Nick C

2014-02-01

Healthcare resource utilization (HCRU) and associated costs specific to pain are a growing concern, as increasing dollar amounts are spent on pain-related conditions. Understanding which pain conditions drive the highest utilization and cost burden to the healthcare system would enable providers and payers to better target conditions to manage pain adequately and efficiently. The current study focused on 36 noncancer chronic and 14 noncancer acute pain conditions and measured the HCRU and costs per member over 365 days. These conditions were ranked by per-member costs and total adjusted healthcare costs to determine the most expensive conditions to a national health plan. The top 5 conditions for the commercial line of business were back pain, osteoarthritis (OA), childbirth, injuries, and non-hip, non-spine fractures (adjusted annual total costs for the commercial members were $119 million, $98 million, $69 million, $61 million, and $48 million, respectively). The top 5 conditions for Medicare members were OA, back pain, hip fractures, injuries, and non-hip, non-spine fractures (adjusted annual costs for the Medicare members were $327 million, $218 million, $117 million, $82 million, and $67 million, respectively). The conditions ranked highest for both per-member and total healthcare costs were hip fractures, childbirth, and non-hip, non-spine fractures. Among these, hip fractures in the Medicare member population had the highest mean cost per member (adjusted per-member cost was $21,058). Further examination specific to how pain is managed in these high-cost conditions will enable providers and payers to develop strategies to improve patient outcomes through appropriate pain management. © 2013 Humana Inc. and Pfizer Inc. Pain Practice © 2013 World Institute of Pain.

A combined QSAR and partial order ranking approach to risk assessment.

PubMed

Carlsen, L

2006-04-01

QSAR generated data appear as an attractive alternative to experimental data as foreseen in the proposed new chemicals legislation REACH. A preliminary risk assessment for the aquatic environment can be based on few factors, i.e. the octanol-water partition coefficient (Kow), the vapour pressure (VP) and the potential biodegradability of the compound in combination with the predicted no-effect concentration (PNEC) and the actual tonnage in which the substance is produced. Application of partial order ranking, allowing simultaneous inclusion of several parameters leads to a mutual prioritisation of the investigated substances, the prioritisation possibly being further analysed through the concept of linear extensions and average ranks. The ranking uses endpoint values (log Kow and log VP) derived from strictly linear 'noise-deficient' QSAR models as input parameters. Biodegradation estimates were adopted from the BioWin module of the EPI Suite. The population growth impairment of Tetrahymena pyriformis was used as a surrogate for fish lethality.

Relationship between Small Animal Intern Rank and Performance at a University Teaching Hospital.

PubMed

Hofmeister, Erik H; Saba, Corey; Kent, Marc; Creevy, Kate E

2015-01-01

The purpose of this study was to determine if there is a relationship between selection committee rankings of internship applicants and the performance of small animal interns. The hypothesis was that there would be a relationship between selection committee rank order and intern performance; the more highly an application was ranked, the better the intern's performance scores would be. In 2007, the Department of Small Animal Medicine and Surgery instituted a standardized approach to its intern selection process both to streamline the process and to track its effectiveness. At the end of intern years 2010-2014, every faculty member in the department was provided an intern assessment form for that year's class. There was no relationship between an individual intern's final rank by the selection committee and his/her performance either as a percentile score or a Likert-type score (p=.25, R2=0.04; p=0.31, R2=0.03, respectively). Likewise, when interns were divided into the top and bottom quartile based on their final rank by the selection committee, there was no relationship between their rank and their performance as a percentile score (median rank 15 vs. 20; p=.14) or Likert-type score (median rank 14 vs. 19; p=.27). Institutions that use a similar intern selection method may need to reconsider the time and effort being expended for an outcome that does not predict performance. Alternatively, specific criteria more predictive of performance outcomes should be identified and employed in the internship selection process.

Evaluating the Relative Environmental Impact of Countries

PubMed Central

Bradshaw, Corey J. A.; Giam, Xingli; Sodhi, Navjot S.

2010-01-01

Environmental protection is critical to maintain ecosystem services essential for human well-being. It is important to be able to rank countries by their environmental impact so that poor performers as well as policy ‘models’ can be identified. We provide novel metrics of country-specific environmental impact ranks – one proportional to total resource availability per country and an absolute (total) measure of impact – that explicitly avoid incorporating confounding human health or economic indicators. Our rankings are based on natural forest loss, habitat conversion, marine captures, fertilizer use, water pollution, carbon emissions and species threat, although many other variables were excluded due to a lack of country-specific data. Of 228 countries considered, 179 (proportional) and 171 (absolute) had sufficient data for correlations. The proportional index ranked Singapore, Korea, Qatar, Kuwait, Japan, Thailand, Bahrain, Malaysia, Philippines and Netherlands as having the highest proportional environmental impact, whereas Brazil, USA, China, Indonesia, Japan, Mexico, India, Russia, Australia and Peru had the highest absolute impact (i.e., total resource use, emissions and species threatened). Proportional and absolute environmental impact ranks were correlated, with mainly Asian countries having both high proportional and absolute impact. Despite weak concordance among the drivers of environmental impact, countries often perform poorly for different reasons. We found no evidence to support the environmental Kuznets curve hypothesis of a non-linear relationship between impact and per capita wealth, although there was a weak reduction in environmental impact as per capita wealth increases. Using structural equation models to account for cross-correlation, we found that increasing wealth was the most important driver of environmental impact. Our results show that the global community not only has to encourage better environmental performance in less-developed countries, especially those in Asia, there is also a requirement to focus on the development of environmentally friendly practices in wealthier countries. PMID:20454670

Beliefs in parapsychological events or experiences among college students in a course in experimental parapsychology.

PubMed

Vitulli, W F

1997-08-01

16 undergraduate students completed Crawford and Christensen's 1995 12-item Extrasensory Perception Survey about attitudes toward extrasensory perception events or experiences before and after taking a 'special topics' course in experimental parapsychology. There were no significant differences in scale values (1-5) (within subjects) between beliefs before versus after the course. Combined (pre- and posttest) mean scale values showed that belief in life after death, belief in the existence of extrasensory perception, and belief in precognitive experiences in dreams ranked highest in endorsement while beliefs in out-of-the-body experiences, auras, or psychokinesis, ranked lowest.

Factors influencing the priority of access to food and their effects on the carcass traits for Japanese Black (Wagyu) cattle.

PubMed

Takanishi, N; Oishi, K; Kumagai, H; Uemura, M; Hirooka, H

2015-12-01

The factors influencing the priority of access to food and the effects of the priority of access to food on their carcass traits were analyzed for Japanese Black (Wagyu) cattle in a semi-intensive fattening production system. The records of 96 clinically healthy steers and heifers were analyzed. The calves at ∼3 to 4 months of age were allocated to pens with four animals per pen; all four animals in the same pen were of the same sex and of similar body size. The ranking of the animals' priority of access to food (1st, 2nd, 3rd and 4th), which was determined by the farm manager, was used as an indicator of social dominance in the present study. Four models including sire line, maternal grandsire line and the difference in the animals' birth dates as fixed effects were used to analyze factors influencing the priority of access to food. Ranking was represented by ordinal scores (highest=4, lowest=1) in Model 1, and the binary scores were assigned in Model 2 (highest=1; 2nd, 3rd and 4th=0), Model 3 (1st and 2nd=1; 3rd and 4th=0) and Model 4 (1st, 2nd and 3rd=1; lowest=0). The results showed that the difference in the animals' birth dates had a significant effect on the establishment of the priority of access to food in Model 3 (P<0.05), suggesting that animals born earlier may become more dominant in the pen. The maternal grandsire line tended to affect the social rank score in Models 2 and 3 (P<0.10). Our results indicated that the maternal grandsire line may affect the temperament of calves through their mothers' genetic performance and thereby more aggressive calves may be more dominant and have higher priority of access to food. On the other hand, there was a significant effect of the priority of access to food on beef marbling score (BMS; P<0.05), and the priority of access to food also tended to influence the carcass weight (P=0.09). The highest BMS was observed for animals with the first rank of the priority of access to food (P<0.05), and the higher-ranking animals had the tendency to be heavier carcass than the lower-ranking animals. Our findings emphasized the importance of information about the priority of access to food determined by farmers' own observation on implementing best management practices in small-scaled semi-intensive beef cattle production systems.

The application of fuzzy Delphi and fuzzy inference system in supplier ranking and selection

NASA Astrophysics Data System (ADS)

Tahriri, Farzad; Mousavi, Maryam; Hozhabri Haghighi, Siamak; Zawiah Md Dawal, Siti

2014-06-01

In today's highly rival market, an effective supplier selection process is vital to the success of any manufacturing system. Selecting the appropriate supplier is always a difficult task because suppliers posses varied strengths and weaknesses that necessitate careful evaluations prior to suppliers' ranking. This is a complex process with many subjective and objective factors to consider before the benefits of supplier selection are achieved. This paper identifies six extremely critical criteria and thirteen sub-criteria based on the literature. A new methodology employing those criteria and sub-criteria is proposed for the assessment and ranking of a given set of suppliers. To handle the subjectivity of the decision maker's assessment, an integration of fuzzy Delphi with fuzzy inference system has been applied and a new ranking method is proposed for supplier selection problem. This supplier selection model enables decision makers to rank the suppliers based on three classifications including "extremely preferred", "moderately preferred", and "weakly preferred". In addition, in each classification, suppliers are put in order from highest final score to the lowest. Finally, the methodology is verified and validated through an example of a numerical test bed.

Female orgasm rate increases with male dominance in Japanese macaques.

PubMed

Troisi; Carosi

1998-11-01

Under specific circumstances, nonhuman primate females may experience orgasm. The occurrence of female copulatory orgasm appears to be highly variable, however, and its proximate causation is poorly understood. We investigated the proximate mechanisms that control orgasmic response in female macaques. During 238 h of observation of sexual behaviour in a large captive group of Japanese macaques, Macaca fuscata, 240 copulations were recorded involving 68 different heterosexual pairs formed by 16 males and 26 females. Female orgasmic responses were observed in 80 of 240 copulations (33%). The frequency of orgasms was not correlated with female age or dominance rank, but it was higher for copulations lasting longer and involving a higher number of mounts and pelvic thrusts. When the level of physical stimulation experienced by females during copulation was statistically controlled, the highest frequency of female orgasms was found among pairs formed by high-ranking males and low-ranking females and the lowest frequency among pairs formed by low-ranking males and high-ranking females. These findings suggest that the proximate mechanisms that control orgasmic threshold in female macaques are more responsive to social stimuli and less constrained by physiological limitations than previously thought. Copyright 1998 The Association for the Study of Animal Behaviour.

A discrepancy in objective and subjective measures of knowledge: do some medical students with learning problems delude themselves?

PubMed

Anthoney, T R

1986-01-01

In general, the rankings of first-year medical students on a written test of long-term neuroscience retention (RET) correlated strongly with how many of three neuroscience research presentations given within the following 2 days the students reported understanding. The lowest-ranking sixth of the class on RET, however, reported understanding almost every lecture, even more than the highest-ranking RET students did. Some of these low-ranking students were aware that they had areas of weakness, but simply tolerated more of them without reporting overall lack of understanding. Other low-ranking students, however, seemed genuinely unaware that they had any areas of weakness. This interpretation was further supported by data on small-group problem-solving performance during the first-year neuroscience course, on use of human resources during the final first-year neuroscience take-home examination, and on performance during the third-year clinical clerkships. Persistence of the problem, even after 5 months of instruction specifically designed to improve such information-processing skills, suggests that correction may be difficult to achieve. The need for specific valid evaluative instruments and effective correctional techniques is noted.

Modeling Area-Level Health Rankings.

PubMed

Courtemanche, Charles; Soneji, Samir; Tchernis, Rusty

2015-10-01

Rank county health using a Bayesian factor analysis model. Secondary county data from the National Center for Health Statistics (through 2007) and Behavioral Risk Factor Surveillance System (through 2009). Our model builds on the existing county health rankings (CHRs) by using data-derived weights to compute ranks from mortality and morbidity variables, and by quantifying uncertainty based on population, spatial correlation, and missing data. We apply our model to Wisconsin, which has comprehensive data, and Texas, which has substantial missing information. The data were downloaded from www.countyhealthrankings.org. Our estimated rankings are more similar to the CHRs for Wisconsin than Texas, as the data-derived factor weights are closer to the assigned weights for Wisconsin. The correlations between the CHRs and our ranks are 0.89 for Wisconsin and 0.65 for Texas. Uncertainty is especially severe for Texas given the state's substantial missing data. The reliability of comprehensive CHRs varies from state to state. We advise focusing on the counties that remain among the least healthy after incorporating alternate weighting methods and accounting for uncertainty. Our results also highlight the need for broader geographic coverage in health data. © Health Research and Educational Trust.

CT Image Sequence Restoration Based on Sparse and Low-Rank Decomposition

PubMed Central

Gou, Shuiping; Wang, Yueyue; Wang, Zhilong; Peng, Yong; Zhang, Xiaopeng; Jiao, Licheng; Wu, Jianshe

2013-01-01

Blurry organ boundaries and soft tissue structures present a major challenge in biomedical image restoration. In this paper, we propose a low-rank decomposition-based method for computed tomography (CT) image sequence restoration, where the CT image sequence is decomposed into a sparse component and a low-rank component. A new point spread function of Weiner filter is employed to efficiently remove blur in the sparse component; a wiener filtering with the Gaussian PSF is used to recover the average image of the low-rank component. And then we get the recovered CT image sequence by combining the recovery low-rank image with all recovery sparse image sequence. Our method achieves restoration results with higher contrast, sharper organ boundaries and richer soft tissue structure information, compared with existing CT image restoration methods. The robustness of our method was assessed with numerical experiments using three different low-rank models: Robust Principle Component Analysis (RPCA), Linearized Alternating Direction Method with Adaptive Penalty (LADMAP) and Go Decomposition (GoDec). Experimental results demonstrated that the RPCA model was the most suitable for the small noise CT images whereas the GoDec model was the best for the large noisy CT images. PMID:24023764

Social status drives social relationships in groups of unrelated female rhesus macaques

PubMed Central

Snyder-Mackler, Noah; Kohn, Jordan N.; Barreiro, Luis B.; Johnson, Zachary P.; Wilson, Mark E.; Tung, Jenny

2015-01-01

Strong social relationships confer health and fitness benefits in a number of species, motivating the need to understand the processes through which they arise. In female cercopithecine primates, both kinship and dominance rank are thought to influence rates of affiliative behaviour and social partner preference. Teasing apart the relative importance of these factors has been challenging, however, as female kin often occupy similar positions in the dominance hierarchy. Here, we isolated the specific effects of rank on social relationships in female rhesus macaques by analysing grooming patterns in 18 social groups that did not contain close relatives, and in which dominance ranks were experimentally randomized. We found that grooming was asymmetrically directed towards higher-ranking females and that grooming bouts temporarily decreased the likelihood of aggression between grooming partners, supporting the idea that grooming is associated with social tolerance. Even in the absence of kin, females formed the strongest grooming relationships with females adjacent to them in rank, a pattern that was strongest for the highest-ranking females. Using simulations, we show that three rules for allocating grooming based on dominance rank recapitulated most of the relationships we observed. Finally, we evaluated whether a female's tendency to engage in grooming behaviour was stable across time and social setting. We found that one measure, the rate of grooming females provided to others (but not the rate of grooming females received), exhibited modest stability after accounting for the primary effect of dominance rank. Together, our findings indicate that dominance rank has strong effects on social relationships in the absence of kin, suggesting the importance of considering social status and social connectedness jointly when investigating their health and fitness consequences. PMID:26769983

Female reproductive success in a species with an age-inversed hierarchy.

PubMed

DE Vries, Dorien; Koenig, Andreas; Borries, Carola

2016-11-01

In most group-living mammals, reproductive success declines with increasing age and increases with increasing rank. Such effects have mainly been studied in matrilineal and in "age positive" hierarchies, which are stable and in which high ranking females often outperform low ranking ones. These relationships are less well-understood in age-inversed dominance hierarchies, in which a female's rank changes over time. We analyzed demographic data of 2 wild, unprovisioned groups of gray langurs (Semnopithecus schistaceus) near Ramnagar, Nepal covering periods of 5 years each. Female rank was unstable and age-inversed. We measured reproductive success via birth rates (57 births), infant survival (proportion of infants surviving to 2 years) and number of offspring surviving to 2 years of age (successful births) for 3 age and 3 rank classes. We found that old females performed significantly worse than expected (birth rate P = 0.04; successful births P = 0.03). The same was true for low ranking females (P = 0.04, and P < 0.01, respectively). Infant survival was highest for young and middle-aged as well as for high and middle ranking females. Overall, the results for these unstable hierarchies were rather similar to those for stable hierarchies of other mammals, particularly several nonhuman primates. Compared to a provisioned population of a closely related species, the wild and unprovisioned population examined (i) showed stronger age effects, while (ii) female reproductive success was equally affected by rank. Future comparative studies are needed to examine whether captive or provisioned populations deviate predictably from wild populations. © 2016 International Society of Zoological Sciences, Institute of Zoology/Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.

Social status drives social relationships in groups of unrelated female rhesus macaques.

PubMed

Snyder-Mackler, Noah; Kohn, Jordan N; Barreiro, Luis B; Johnson, Zachary P; Wilson, Mark E; Tung, Jenny

2016-01-01

Strong social relationships confer health and fitness benefits in a number of species, motivating the need to understand the processes through which they arise. In female cercopithecine primates, both kinship and dominance rank are thought to influence rates of affiliative behaviour and social partner preference. Teasing apart the relative importance of these factors has been challenging, however, as female kin often occupy similar positions in the dominance hierarchy. Here, we isolated the specific effects of rank on social relationships in female rhesus macaques by analysing grooming patterns in 18 social groups that did not contain close relatives, and in which dominance ranks were experimentally randomized. We found that grooming was asymmetrically directed towards higher-ranking females and that grooming bouts temporarily decreased the likelihood of aggression between grooming partners, supporting the idea that grooming is associated with social tolerance. Even in the absence of kin, females formed the strongest grooming relationships with females adjacent to them in rank, a pattern that was strongest for the highest-ranking females. Using simulations, we show that three rules for allocating grooming based on dominance rank recapitulated most of the relationships we observed. Finally, we evaluated whether a female's tendency to engage in grooming behaviour was stable across time and social setting. We found that one measure, the rate of grooming females provided to others (but not the rate of grooming females received), exhibited modest stability after accounting for the primary effect of dominance rank. Together, our findings indicate that dominance rank has strong effects on social relationships in the absence of kin, suggesting the importance of considering social status and social connectedness jointly when investigating their health and fitness consequences.

Grizzly bear habitat selection is scale dependent.

PubMed

Ciarniello, Lana M; Boyce, Mark S; Seip, Dale R; Heard, Douglas C

2007-07-01

The purpose of our study is to show how ecologists' interpretation of habitat selection by grizzly bears (Ursus arctos) is altered by the scale of observation and also how management questions would be best addressed using predetermined scales of analysis. Using resource selection functions (RSF) we examined how variation in the spatial extent of availability affected our interpretation of habitat selection by grizzly bears inhabiting mountain and plateau landscapes. We estimated separate models for females and males using three spatial extents: within the study area, within the home range, and within predetermined movement buffers. We employed two methods for evaluating the effects of scale on our RSF designs. First, we chose a priori six candidate models, estimated at each scale, and ranked them using Akaike Information Criteria. Using this method, results changed among scales for males but not for females. For female bears, models that included the full suite of covariates predicted habitat use best at each scale. For male bears that resided in the mountains, models based on forest successional stages ranked highest at the study-wide and home range extents, whereas models containing covariates based on terrain features ranked highest at the buffer extent. For male bears on the plateau, each scale estimated a different highest-ranked model. Second, we examined differences among model coefficients across the three scales for one candidate model. We found that both the magnitude and direction of coefficients were dependent upon the scale examined; results varied between landscapes, scales, and sexes. Greenness, reflecting lush green vegetation, was a strong predictor of the presence of female bears in both landscapes and males that resided in the mountains. Male bears on the plateau were the only animals to select areas that exposed them to a high risk of mortality by humans. Our results show that grizzly bear habitat selection is scale dependent. Further, the selection of resources can be dependent upon the availability of a particular vegetation type on the landscape. From a management perspective, decisions should be based on a hierarchical process of habitat selection, recognizing that selection patterns vary across scales.

40 CFR 51.900 - Definitions.

Code of Federal Regulations, 2011 CFR

2011-07-01

... higher or lower, classifications are ranked from lowest to highest as follows: classification under... National Ambient Air Quality Standard § 51.900 Definitions. The following definitions apply for purposes of... 42 U.S.C. 7401-7671q (2003). (f) Applicable requirements means for an area the following requirements...

40 CFR 51.900 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... higher or lower, classifications are ranked from lowest to highest as follows: classification under... National Ambient Air Quality Standard § 51.900 Definitions. The following definitions apply for purposes of... 42 U.S.C. 7401-7671q (2003). (f) Applicable requirements means for an area the following requirements...

Allocating a scarce mental health treatment to the underweight and overweight.

PubMed

Gajre, Meera; McClelland, Alastair; Furnham, Adrian

2017-09-05

This is one of a number of programmatic studies on the allocation of scarce medical resources. This study investigated whether certain characteristics about patients influence the priority they are assigned for a scarce mental health treatment. Similar studies for physical treatments have found that young, poor, and mentally healthy patients are given the highest priority. Each participant completed one questionnaire where they ranked a list of eight hypothetical patients in order of priority for treatment for anorexia or obesity. The patients varied on three dimensions: age, social class and mental health history. This involved a ranking of prioritisation for treatment. Participants gave the young patients, from a low social class background, who had a mental health history the highest priority for treatment. This is in contrast to previous studies indicating that the mentally unwell are discriminated against. Participants seemed to be using social class as a proxy measure of ability to pay which they weighted very highly.

Classic articles in Psychology in the Science Citation Index Expanded: A bibliometric analysis.

PubMed

Ho, Yuh-Shan; Hartley, James

2016-11-01

Who today are the most highly cited psychologists listed in the Web of Science? This paper reports answers to this question by using the Science Citation Index Expanded to find out. This index covers over 280,350 documents in the Psychology category of the Web of Science from 1900 to 2013 and lists the most highly cited papers published between 1927 and 2012. For example, in 2013, an article published by Jacob Cohen in 1992 obtained (1) the highest ranking with 1,068 citations, (2) the highest for total citations per year, and (3) was ranked 3rd for the total number of citations since publication by 2013. New technology thus provides a seismic shift in the ways that we can obtain and analyse data like these. Indeed, the results for the top 10 articles indicate that practical and methodological papers now receive more citations than the more theoretical papers usually found in earlier surveys. © 2015 The British Psychological Society.

The Effects of Type I Error Rate and Power of the ANCOVA F-Test and Selected Alternatives under Non-Normality and Variance Heterogeneity.

ERIC Educational Resources Information Center

Rheinheimer, David C.; Penfield, Douglas A.

The performance of analysis of covariance (ANCOVA) and six selected competitors was examined under varying experimental conditions through Monte Carlo simulations. The six alternatives were: (1) Quade's procedure (D. Quade, 1967); (2) Puri and Sen's solution (M. Puri and P. Sen, 1969); (3) Burnett and Barr's rank difference scores (T. Burnett and…

Alternative Methods by Which Basic Science Pharmacy Faculty Can Relate to Clinical Practice, Executive Summary and Final Report, October 1, 1978 - March 15, 1980.

ERIC Educational Resources Information Center

Kabat, Hugh F.; And Others

The areas of basic science pharmacy instruction and clinical pharmacy practice and their interrelationships were identified in order to help develop didactic and clinical experience alternatives. A 10-member advisory committee ranked basic pharmaceutical science topical areas in terms of their applicability to clinical practice utilizing a Delphi…

Prestige versus citation volume as journal indices in cognitive neuroscience.

PubMed

Ward, Jamie

2014-01-01

In recent years, alternative measures of a journal's influence have been developed to those based on citation metrics (such as Impact Factor). This includes the Scimago Journal Rank (SJR) which is adapted from algorithms used to prioritize webpages in search engines. It is considered a measure of "prestige" insofar as it takes into account the importance of links/citations and not just their total number. Taking a sample of 38 journals from within the field of cognitive neuroscience, it is shown that SJR and Impact Factor correlate highly (r = .83) but with a few large discrepancies in rankings. This journal, Cognitive Neuroscience, fares better on the prestige-based measure than might otherwise be expected from its citation-based rank.

Stochastic Model for Phonemes Uncovers an Author-Dependency of Their Usage.

PubMed

Deng, Weibing; Allahverdyan, Armen E

2016-01-01

We study rank-frequency relations for phonemes, the minimal units that still relate to linguistic meaning. We show that these relations can be described by the Dirichlet distribution, a direct analogue of the ideal-gas model in statistical mechanics. This description allows us to demonstrate that the rank-frequency relations for phonemes of a text do depend on its author. The author-dependency effect is not caused by the author's vocabulary (common words used in different texts), and is confirmed by several alternative means. This suggests that it can be directly related to phonemes. These features contrast to rank-frequency relations for words, which are both author and text independent and are governed by the Zipf's law.

Experimental analysis of multi-attribute decision-making based on Atanassov intuitionistic fuzzy sets: a discussion of anchor dependency and accuracy functions

NASA Astrophysics Data System (ADS)

Chen, Ting-Yu

2012-06-01

This article presents a useful method for relating anchor dependency and accuracy functions to multiple attribute decision-making (MADM) problems in the context of Atanassov intuitionistic fuzzy sets (A-IFSs). Considering anchored judgement with displaced ideals and solution precision with minimal hesitation, several auxiliary optimisation models have proposed to obtain the optimal weights of the attributes and to acquire the corresponding TOPSIS (the technique for order preference by similarity to the ideal solution) index for alternative rankings. Aside from the TOPSIS index, as a decision-maker's personal characteristics and own perception of self may also influence the direction in the axiom of choice, the evaluation of alternatives is conducted based on distances of each alternative from the positive and negative ideal alternatives, respectively. This article originates from Li's [Li, D.-F. (2005), 'Multiattribute Decision Making Models and Methods Using Intuitionistic Fuzzy Sets', Journal of Computer and System Sciences, 70, 73-85] work, which is a seminal study of intuitionistic fuzzy decision analysis using deduced auxiliary programming models, and deems it a benchmark method for comparative studies on anchor dependency and accuracy functions. The feasibility and effectiveness of the proposed methods are illustrated by a numerical example. Finally, a comparative analysis is illustrated with computational experiments on averaging accuracy functions, TOPSIS indices, separation measures from positive and negative ideal alternatives, consistency rates of ranking orders, contradiction rates of the top alternative and average Spearman correlation coefficients.

Dairy cow handling facilities and the perception of Beef Quality Assurance on Colorado dairies.

PubMed

Adams, A E; Olea-Popelka, F J; Grandin, T; Woerner, D R; Roman-Muniz, I N

2014-02-01

A survey was conducted on Colorado dairies to assess attitudes and practices regarding Dairy Beef Quality Assurance (DBQA). The objectives were to (1) assess the need for a new handling facility that would allow all injections to be administered via DBQA standards; (2) establish if Colorado dairy producers are concerned with DBQA; and (3) assess differences in responses between dairy owners and herdsmen. Of the 95 dairies contacted, 20 (21%) agreed to participate, with a median herd size of 1,178. When asked to rank the following 7 traits--efficiency, animal safety, human safety, ease of animal handling, ease of operation, inject per Beef Quality Assurance (BQA) procedures, and cost--in order of priority when designing a new handling facility, human and animal safety were ranked highest in priority (first or second) by the majority of participants, with ease of animal handling and efficiency ranked next. Interestingly, the administration of injections per BQA standards was ranked sixth or seventh by most participants. Respondents estimated the average annual income from the sale of cull cows to be 4.6% of all dairy income, with 50% receiving at least one carcass discount or condemnation in the past 12 mo. Although almost all of the participating dairy farmers stated that the preferred injection site for medications was the neck region, a significant number admitted to using alternate injection sites. In contrast, no difference was found between responses regarding the preferred and actual location for intravenous injections. Although most participating producers are aware of BQA injection guidelines, they perceive efficiency as more important, which could result in injections being administered in locations not promoted by BQA. Dairy owners and herdsmen disagreed in whether or not workers had been injured in the animal handling area in the last 12 mo. Handling facilities that allow for an efficient and safe way to administer drugs according to BQA guidelines and educational opportunities that highlight the effect of improved DBQA on profitability could prove useful. Dairy producers play a key role in ensuring that dairy beef is safe and high quality, and just as they are committed to producing safe and nutritious milk for their customers, they should be committed to producing the best quality beef. Copyright © 2014 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Hypoxia-Induced Expression of VEGF Splice Variants and Protein in Four Retinal Cell Types

PubMed Central

Watkins, William M.; McCollum, Gary W.; Savage, Sara R.; Capozzi, Megan E.; Penn, John S.; Morrison, David G.

2014-01-01

The purpose of this study was to investigate the hypoxia-induced Vegf120, Vegf164 and Vegf188 mRNA expression profiles in rat Müller cells (MC), astrocytes, retinal pigmented epithelial cells (RPE) and retinal microvascular endothelial cells (RMEC) and correlate these findings to VEGF secreted protein. Cultured cells were exposed to normoxia or hypoxia. Total RNA was isolated from cell lysates and Vegf splice variant mRNA copy numbers were assayed by a validated qRT-PCR external calibration curve method. mRNA copy numbers were normalized to input total RNA. Conditioned medium was collected from cells and assayed for total VEGF protein by ELISA. Hypoxia increased total Vegf mRNA and secreted protein in all the retinal cell types, with the highest levels observed in MC and astrocytes ranking second. Total Vegf mRNA levels in hypoxic RPE and RMEC were comparable; however, the greatest hypoxic induction of each Vegf splice variant mRNA was observed in RMEC. RPE and RMEC ranked 3rd and 4th respectively, in terms of secreted total VEGF protein in hypoxia. The Vegf120, Vegf164 and Vegf188 mRNA splice variants were all increased in hypoxic cells compared to normoxic controls. In normoxia, the relative Vegf splice variant mRNA levels ranked from highest to lowest for each cell type were Vegf164>Vegf120>Vegf188. Hypoxic induction did not alter this ranking, although it did favor an increased stoichiometry of Vegf164 mRNA over the other two splice variants. MC and astrocytes are likely to be the major sources of total Vegf, and Vegf164 splice variant mRNAs, and VEGF protein in retinal hypoxia. PMID:24076411

Adolescents' perceptions of the aesthetic impact of dental fluorosis vs. other dental conditions in areas with and without water fluoridation.

PubMed

McGrady, Michael G; Ellwood, Roger P; Goodwin, Michaela; Boothman, Nicola; Pretty, Iain A

2012-02-10

The use of fluorides for caries prevention is well established but is linked with an increased risk of dental fluorosis, some of which may be considered to be aesthetically objectionable. Patient opinion should be considered when determining impact on aesthetics. The aim of this study was to assess participant rating of dental aesthetics (from photographic images) of 11 to 13 year olds participating in an epidemiological caries and fluorosis survey in a fluoridated and a non-fluoridated community in Northern England. Consented participants were invited to rank in order of preference (appearance) a collage of 10 computer generated images on a touch-screen laptop. The images comprised an assortment of presentations of teeth that included white teeth, a spectrum of developmental defects of enamel and dental caries. Data were captured directly and exported into SPSS for analysis. Data were available for 1553 participants. In general, there were no significant differences in the rank positions between the fluoridated and non-fluoridated communities, with the exception of teeth with caries and teeth with large demarcated opacities. Very white teeth had the highest rating in both localities. Overall, there was a trend for teeth with fluorosis to be ranked more favourably in the fluoridated community; for TF 1 and TF 2 this preference was significant (p < 0.001). The results of this study suggest teeth that are uniformly very white have the highest preference. The rankings suggest teeth with a fluorosis score of TF 1 may not be considered aesthetically objectionable to this population and age group. The image depicting a tooth with caries and the image with large demarcated opacities were deemed to be the least favoured. Participant preference of images depicting fluorosis falls with increasing severity of fluorosis.

An Approach for Assessing Development and Deployment Risks in the DOE Fuel Cycle Options Evaluation and Screening Study

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

Gehin, Jess C; Oakley, Brian; Worrall, Andrew

2015-01-01

Abstract One of the key objectives of the U.S. Department of Energy (DOE) Nuclear Energy R&D Roadmap is the development of sustainable nuclear fuel cycles that can improve natural resource utilization and provide solutions to the management of nuclear wastes. Recently, an evaluation and screening (E&S) of fuel cycle systems has been conducted to identify those options that provide the best opportunities for obtaining such improvements and also to identify the required research and development activities that can support the development of advanced fuel cycle options. In order to evaluate and screen the E&S study included nine criteria including Developmentmore » and Deployment Risk (D&DR). More specifically, this criterion was represented by the following metrics: Development time, development cost, deployment cost from prototypic validation to first-of-a-kind commercial, compatibility with the existing infrastructure, existence of regulations for the fuel cycle and familiarity with licensing, and existence of market incentives and/or barriers to commercial implementation of fuel cycle processes. Given the comprehensive nature of the study, a systematic approach was needed to determine metric data for the D&DR criterion, and is presented here. As would be expected, the Evaluation Group representing the once-through use of uranium in thermal reactors is always the highest ranked fuel cycle Evaluation Group for this D&DR criterion. Evaluation Groups that consist of once-through fuel cycles that use existing reactor types are consistently ranked very high. The highest ranked limited and continuous recycle fuel cycle Evaluation Groups are those that recycle Pu in thermal reactors. The lowest ranked fuel cycles are predominately continuous recycle single stage and multi-stage fuel cycles that involve TRU and/or U-233 recycle.« less

Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data.

PubMed

Liu, Yuanyuan; Shang, Fanhua; Jiao, Licheng; Cheng, James; Cheng, Hong

2015-11-01

In recent years, low-rank tensor completion (LRTC) problems have received a significant amount of attention in computer vision, data mining, and signal processing. The existing trace norm minimization algorithms for iteratively solving LRTC problems involve multiple singular value decompositions of very large matrices at each iteration. Therefore, they suffer from high computational cost. In this paper, we propose a novel trace norm regularized CANDECOMP/PARAFAC decomposition (TNCP) method for simultaneous tensor decomposition and completion. We first formulate a factor matrix rank minimization model by deducing the relation between the rank of each factor matrix and the mode- n rank of a tensor. Then, we introduce a tractable relaxation of our rank function, and then achieve a convex combination problem of much smaller-scale matrix trace norm minimization. Finally, we develop an efficient algorithm based on alternating direction method of multipliers to solve our problem. The promising experimental results on synthetic and real-world data validate the effectiveness of our TNCP method. Moreover, TNCP is significantly faster than the state-of-the-art methods and scales to larger problems.

Smoothed low rank and sparse matrix recovery by iteratively reweighted least squares minimization.

PubMed

Lu, Canyi; Lin, Zhouchen; Yan, Shuicheng

2015-02-01

This paper presents a general framework for solving the low-rank and/or sparse matrix minimization problems, which may involve multiple nonsmooth terms. The iteratively reweighted least squares (IRLSs) method is a fast solver, which smooths the objective function and minimizes it by alternately updating the variables and their weights. However, the traditional IRLS can only solve a sparse only or low rank only minimization problem with squared loss or an affine constraint. This paper generalizes IRLS to solve joint/mixed low-rank and sparse minimization problems, which are essential formulations for many tasks. As a concrete example, we solve the Schatten-p norm and l2,q-norm regularized low-rank representation problem by IRLS, and theoretically prove that the derived solution is a stationary point (globally optimal if p,q ≥ 1). Our convergence proof of IRLS is more general than previous one that depends on the special properties of the Schatten-p norm and l2,q-norm. Extensive experiments on both synthetic and real data sets demonstrate that our IRLS is much more efficient.

Space station/base food system study. Volume 2: System assessments

NASA Technical Reports Server (NTRS)

1970-01-01

The evaluation modeling technique is described which was used to combine the candidate element concepts into systems that meet mission requirements. Results of the assessment are presented in terms of systems performance data and plots of system trade-off data by highest ranking variable.

Why Black Officers Still Fail

DTIC Science & Technology

2010-01-01

achieve the very highest ranks in the Army. Darlene Iskra has identified the phenomenon of particular groups failing to achieve upward professional ... mobility in the military as a “Brass Ceiling.”12 Although Iskra focused most of her attention on structural barriers, she did highlight a number of

Taiwanese Arithmetic and Algebra

ERIC Educational Resources Information Center

Lo, Jane-Jane; Tsai, Feng-Chiu

2011-01-01

Taiwanese students consistently rank near the top on international exams on mathematics and science. In 2007, Taiwan recorded the highest TIMSS math score for eighth grade. The central education agency in Taiwan publishes detailed mathematics curriculum guidelines, which textbooks and national exams follow closely. In May each year, all ninth…

News and Views.

ERIC Educational Resources Information Center

Journal of Blacks in Higher Education, 1999

1999-01-01

Presents a collection of articles that offer information on such issues as the progress of black student matriculations at the highest-ranking U.S. colleges; black historians teaching black history; Blacks in academic accounting; banishing the stereotype that African Americans cannot do mathematics; campus crime rates at black colleges; and the…

What CEOs Expect of Employees Hired for International Work.

ERIC Educational Resources Information Center

Dirks, Ruthann; Buzzard, Janet

1997-01-01

Managers from 47 Kansas City companies identified skills and knowledge important for their international employees. Oral and written communication ranked highest, followed by exporting, customs, marketing, business etiquette, and protocol. Employees with high school education had markedly different overseas assignments than did college graduates.…

Management and control of gastrointestinal nematodes in communal goat farms in Zimbabwe.

PubMed

Zvinorova, P I; Halimani, T E; Muchadeyi, F C; Katsande, S; Gusha, J; Dzama, K

2017-02-01

Goats are an important source of livelihood especially in smallholder communities. Infections with gastrointestinal nematodes (GIN) remain the most prevalent parasitic diseases affecting small ruminants. The study was conducted to assess management, the level of knowledge and control of gastrointestinal nematodes. Surveys were conducted in Chipinge, Shurugwi, Binga, Tsholotsho and Matobo districts, representing the five natural/agro-ecological regions (NR) in Zimbabwe. Data was collected in 135 households using a pre-tested semi-structured questionnaire. Results indicated that goats were ranked the most important livestock species, with high flock sizes in NR IV and V. Partitioning of roles was such that the adult males were involved in decision-making while females and children were involved in day-to-day management of animals. Farmers showed low levels of input use, with natural pasture (98.4%) being the main feed source and indigenous breeds (73.2%) being kept. Farmers ranked food and financial benefits as the main reasons for keeping goats. Gastrointestinal nematodes ranked the highest as the most common disease, with majority of farmers (57%) not controlling or treating animals and 63% of farmers not having knowledge on the spread of GIN. Access to veterinary services, anthelmintic class used and breeds used by the farmers had the highest effects on parasitic infections in households. Farmer education is required for capacitation of farmer in terms of disease prevention and control so as to improve goat production.

Statistical analysis of the radon-222 potential of rocks in Virginia, U.S.A.

USGS Publications Warehouse

Brown, C. Erwin; Mose, D.G.; Mushrush, G.W.; Chrosniak, C.E.

1992-01-01

More than 3,200 indoor radon-222 (222Rn) measurements were made seasonally in an area of about 1,000 square kilometers of the Coastal Plain and Piedmont physiographic provinces in Virginia, U.S.A. Results of these measurements indicate that some geological units are associated, on the average, with twice as much indoor222Rn as other geological units, and that indoor222Rn varies seasonally. The Kruskal-Wallis test was used to test whether indoor222Rn concentrations for data gathered over the winter and summer seasons differ significantly by rock unit. The tests concluded that indoor222Rn concentrations for different rock units were not equal at the 5-percent significance level. The rocks associated with the highest median indoor222Rn concentration are specific rocks in the Mesozoic Culpeper basin, including shale and siltstone units with Jurassic diabase intrusives, and mica schists in the Piedmont physiographic province. The pre-Triassic Peters Creek Schist has the highest ranking in terms of indoor222Rn concentration. The rocks associated with the lowest indoor222Rn concentrations include coastal plain sediments, the Occoquan Granite, Falls Church Tonalite, Piney Branch Mafic and Ultramafic complex, and unnamed mafic and ultramafic inclusions, respectively. The rocks have been ranked according to observed222Rn concentration by transforming the average rank of indoor222Rn concentrations to z scores. ?? 1992 Springer-Verlag New York Inc.

Failure Mode and Effect Analysis for Delivery of Lung Stereotactic Body Radiation Therapy

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

Perks, Julian R., E-mail: julian.perks@ucdmc.ucdavis.edu; Stanic, Sinisa; Stern, Robin L.

2012-07-15

Purpose: To improve the quality and safety of our practice of stereotactic body radiation therapy (SBRT), we analyzed the process following the failure mode and effects analysis (FMEA) method. Methods: The FMEA was performed by a multidisciplinary team. For each step in the SBRT delivery process, a potential failure occurrence was derived and three factors were assessed: the probability of each occurrence, the severity if the event occurs, and the probability of detection by the treatment team. A rank of 1 to 10 was assigned to each factor, and then the multiplied ranks yielded the relative risks (risk priority numbers).more » The failure modes with the highest risk priority numbers were then considered to implement process improvement measures. Results: A total of 28 occurrences were derived, of which nine events scored with significantly high risk priority numbers. The risk priority numbers of the highest ranked events ranged from 20 to 80. These included transcription errors of the stereotactic coordinates and machine failures. Conclusion: Several areas of our SBRT delivery were reconsidered in terms of process improvement, and safety measures, including treatment checklists and a surgical time-out, were added for our practice of gantry-based image-guided SBRT. This study serves as a guide for other users of SBRT to perform FMEA of their own practice.« less

Chlorogenic acid oxidation-induced greening of sunflower butter cookies as a function of different sweeteners and storage conditions.

PubMed

Liang, Sihui; Were, Lilian M

2018-02-15

Sunflower butter use as an allergen-free alternative to tree and legume nut butter in baking is limited by chlorogenic acid induced greening that occurs at alkaline pH. Limited information is available on controlling this greening in a food matrix. This study examined how different liquid sweeteners and relative humidity influenced greening of sunflower butter cookies. Doughs had similar initial pH (7.52-7.66) which increased to 8.44-9.13 after baking as ranked: xylitol>maple syrup>corn syrup>honey>agave syrup. Cookies made with maple syrup had the highest moisture and greening corresponding with lowest free chlorogenic acid. The % greening followed the same trend as greening intensity, and was positively correlated (r=0.9101) with chlorogenic-lysine adduct content. Our findings provide an ingredient solution to controlling greening, as results demonstrate that greening can be promoted with high relative humidity storage, and use of high moisture and pH ingredients. Unwanted greening can be inhibited by simply changing the liquid sweetener. Copyright © 2017 Elsevier Ltd. All rights reserved.

Implementation of ANP Method in Determining Supplier to Improve Service towards Supermarket Consumers

NASA Astrophysics Data System (ADS)

Mulyanto, A.; Amalia, T. H.; Novian, D.; Kaluku, M. R. A.

2017-03-01

Performance assessment on the supplier by the supermarket manager is relatively difficult to conduct and implies subjectivity, because there is no measureable and objective performance indicator. This study aims to assist in the decision making process and to look for alternative solutions in assessing the performance of each supplier, so that the service towards the customers will improve as well. ANP method is used to find the weight of each sub-criteria that will be used to measure the supplier performance. The weight result of each sub-criteria derived from the ANP method is used again in measuring the performance and to rank the performance of each supplier by using TOPSIS method. Performance measuring by using the ANP and TOPSIS that generates the highest value of the supplier is 0.71666 while the lowest value is 0.24825. The result of this study shows that the ANP and TOPSIS methods can be used to measure the supplier performance therefore it can assist the selection of supplier which can increase service towards the mart’s consumers.

Susceptibility of ground water to surface and shallow sources of contamination, Orange County, North Carolina

USGS Publications Warehouse

Terziotti, Silvia; Eimers, J.L.

1999-01-01

In 1998, the relative susceptibility of ground water in Orange County, North Carolina,to contamination from surface and shallow sources was evaluated. A geographic information system was used to build three county-wide layers--soil permeability, land use/land cover, and land-surface slope. The harmonic mean permeability of soil layers was used to estimate a location's capacity to transmit water through the soil. Values for each of these three factors were categorized and ranked from 1 to 10 according to relative potential for contamination. Each factor was weighted to reflect its relative potential contribution to ground-water contamination, then the factors were combined to create a relative susceptibility index. The relative susceptibility index was categorized to reflect lowest, low, moderate, high, and highest potential for ground-water contamination. The relative susceptibility index for about 12 percent of the area in Orange County was categorized as high or highest. The high and highest range areas have highly permeable soils, land cover or land-use activities that have a high contamination potential, and low to moderate slopes. Most of the county is within the moderate category of relative susceptibility to ground-water contamination. About 21 percent of the county is ranked as low or lowest relative susceptibility to ground-water contamination.

Impact of greenhouse gas metrics on the quantification of agricultural emissions and farm-scale mitigation strategies: a New Zealand case study

NASA Astrophysics Data System (ADS)

Reisinger, Andy; Ledgard, Stewart

2013-06-01

Agriculture emits a range of greenhouse gases. Greenhouse gas metrics allow emissions of different gases to be reported in a common unit called CO2-equivalent. This enables comparisons of the efficiency of different farms and production systems and of alternative mitigation strategies across all gases. The standard metric is the 100 year global warming potential (GWP), but alternative metrics have been proposed and could result in very different CO2-equivalent emissions, particularly for CH4. While significant effort has been made to reduce uncertainties in emissions estimates of individual gases, little effort has been spent on evaluating the implications of alternative metrics on overall agricultural emissions profiles and mitigation strategies. Here we assess, for a selection of New Zealand dairy farms, the effect of two alternative metrics (100 yr GWP and global temperature change potentials, GTP) on farm-scale emissions and apparent efficiency and cost effectiveness of alternative mitigation strategies. We find that alternative metrics significantly change the balance between CH4 and N2O; in some cases, alternative metrics even determine whether a specific management option would reduce or increase net farm-level emissions or emissions intensity. However, the relative ranking of different farms by profitability or emissions intensity, and the ranking of the most cost-effective mitigation options for each farm, are relatively unaffected by the metric. We conclude that alternative metrics would change the perceived significance of individual gases from agriculture and the overall cost to farmers if a price were applied to agricultural emissions, but the economically most effective response strategies are unaffected by the choice of metric.

Effects of parceling on model selection: Parcel-allocation variability in model ranking.

PubMed

Sterba, Sonya K; Rights, Jason D

2017-03-01

Research interest often lies in comparing structural model specifications implying different relationships among latent factors. In this context parceling is commonly accepted, assuming the item-level measurement structure is well known and, conservatively, assuming items are unidimensional in the population. Under these assumptions, researchers compare competing structural models, each specified using the same parcel-level measurement model. However, little is known about consequences of parceling for model selection in this context-including whether and when model ranking could vary across alternative item-to-parcel allocations within-sample. This article first provides a theoretical framework that predicts the occurrence of parcel-allocation variability (PAV) in model selection index values and its consequences for PAV in ranking of competing structural models. These predictions are then investigated via simulation. We show that conditions known to manifest PAV in absolute fit of a single model may or may not manifest PAV in model ranking. Thus, one cannot assume that low PAV in absolute fit implies a lack of PAV in ranking, and vice versa. PAV in ranking is shown to occur under a variety of conditions, including large samples. To provide an empirically supported strategy for selecting a model when PAV in ranking exists, we draw on relationships between structural model rankings in parcel- versus item-solutions. This strategy employs the across-allocation modal ranking. We developed software tools for implementing this strategy in practice, and illustrate them with an example. Even if a researcher has substantive reason to prefer one particular allocation, investigating PAV in ranking within-sample still provides an informative sensitivity analysis. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Trends of the neurosurgical economy in the United States.

PubMed

Johnson, William C; Seifi, Ali

2018-07-01

The objective of this study was to identify the neurosurgical MS-DRGs highest national bills and to analyze economic, demographic, and patient outcome trends. This retrospective cohort study used the Nationwide Inpatient Sample (NIS) database to achieve the results. All MS-DRG codes for the years 2014 were ranked based on total aggregate charges. The highest ranked relevant to neurosurgery were identified and retrospectively reviewed to 2008. The data was analyzed by Z-test. In 2014, NIS reported the MS-DRG with the highest national bill of $22,894,340,928 was "Spinal Fusion Except Cervical without MCC," which also had the largest rise over the cohort period, increasing from $15,853,679,222 in 2008 (p < .001). It was also the MS-DRG with the highest incidence, totaling 1,443,112 discharges and increasing from 190,692 in 2008 to 214,100 in 2014 (p < .10). "Craniotomy with major Device Implant/Acute Complex CNS Procedure w/MCC or Chemo Implant" had the longest length of stay (LOS) with a mean patient stay of 12.9 days. This MS-DRG also had the oldest patient population mean age of 57.5 years old. "Craniotomy & Endovascular Intracranial Procedures with MCC" had the most in-hospital deaths totaling 28,707 increasing significantly from 3602 in 2008 to 4410 in 2014 (p < .05). "Spinal fusion except cervical without MCC," had the highest national bill in the USA over the period of the cohort. Healthcare organizations can benefit from awareness of this information by using it to establish the most efficient healthcare investments and preparing a health-care roadmap for the following decades. Copyright © 2018 Elsevier Ltd. All rights reserved.

The effects of tenure and promotion on surgeon productivity.

PubMed

Lam, Adam; Heslin, Martin J; Tzeng, Ching-Wei D; Chen, Herbert

2018-07-01

Studies investigating the impact of promotion and tenure on surgeon productivity are lacking. The aim of this study is to elucidate the relationship of promotion and tenure to surgeon productivity. We reviewed data for the Department of Surgery at our institution. Relative value units (RVUs) billed per year, publications per year, and grant funding per year were used to assess productivity from 2010 to 2016. We analyzed tenure-track (TT) and non-tenure-track (NT) surgeons and compared the productivity within these groups by rank: assistant professor (ASST), associate professor (ASSOC), and full professor (FULL). Kruskal-Wallis and Mann-Whitney U tests were used to assess significance and relationships between the groups. A TT faculty was promoted if they produced more research, with the highest publication rates in TT FULL. TT faculty publishing rates increased from ASST to ASSOC (1 versus 2, P = 0.006) and from ASSOC to FULL (2 versus 4, P < 0.001). There were no differences in the low publication rates among NT ranks. Grant funding was also highest at the TT FULL level. The clinical production (RVUs) was highest between TT ASSOC and NT FULL. TT faculty increased productivity between ASST and ASSOC (7023 versus 8384, P = 0.001) and decreased between ASSOC and FULL (8384 versus 6877, P < 0.001). Among NT faculty, RVUs were stagnant between ASST and ASSOC levels (4877 versus 6313, P = 0.312) and increased between ASSOC and FULL levels (6313 versus 8975, P < 0.001). Tenure and nontenure pathways appear to appropriately incentivize surgical faculty over the course of their advancement. TT FULL has the highest research production and grant funding, whereas NT FULL has the highest clinical production. Copyright © 2018 Elsevier Inc. All rights reserved.

Accurate template-based modeling in CASP12 using the IntFOLD4-TS, ModFOLD6, and ReFOLD methods.

PubMed

McGuffin, Liam J; Shuid, Ahmad N; Kempster, Robert; Maghrabi, Ali H A; Nealon, John O; Salehe, Bajuna R; Atkins, Jennifer D; Roche, Daniel B

2018-03-01

Our aim in CASP12 was to improve our Template-Based Modeling (TBM) methods through better model selection, accuracy self-estimate (ASE) scores and refinement. To meet this aim, we developed two new automated methods, which we used to score, rank, and improve upon the provided server models. Firstly, the ModFOLD6_rank method, for improved global Quality Assessment (QA), model ranking and the detection of local errors. Secondly, the ReFOLD method for fixing errors through iterative QA guided refinement. For our automated predictions we developed the IntFOLD4-TS protocol, which integrates the ModFOLD6_rank method for scoring the multiple-template models that were generated using a number of alternative sequence-structure alignments. Overall, our selection of top models and ASE scores using ModFOLD6_rank was an improvement on our previous approaches. In addition, it was worthwhile attempting to repair the detected errors in the top selected models using ReFOLD, which gave us an overall gain in performance. According to the assessors' formula, the IntFOLD4 server ranked 3rd/5th (average Z-score > 0.0/-2.0) on the server only targets, and our manual predictions (McGuffin group) ranked 1st/2nd (average Z-score > -2.0/0.0) compared to all other groups. © 2017 Wiley Periodicals, Inc.

32 CFR 724.903 - Equity of the discharge.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 32 National Defense 5 2011-07-01 2011-07-01 false Equity of the discharge. 724.903 Section 724.903 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL NAVAL DISCHARGE REVIEW... factors such as: (i) Service history, including date of enlistment, period of enlistment, highest rank...

32 CFR 724.903 - Equity of the discharge.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 32 National Defense 5 2010-07-01 2010-07-01 false Equity of the discharge. 724.903 Section 724.903 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL NAVAL DISCHARGE REVIEW... factors such as: (i) Service history, including date of enlistment, period of enlistment, highest rank...

32 CFR 724.903 - Equity of the discharge.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 32 National Defense 5 2012-07-01 2012-07-01 false Equity of the discharge. 724.903 Section 724.903 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL NAVAL DISCHARGE REVIEW... factors such as: (i) Service history, including date of enlistment, period of enlistment, highest rank...

32 CFR 724.903 - Equity of the discharge.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 32 National Defense 5 2013-07-01 2013-07-01 false Equity of the discharge. 724.903 Section 724.903 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY PERSONNEL NAVAL DISCHARGE REVIEW... factors such as: (i) Service history, including date of enlistment, period of enlistment, highest rank...

What Employees Really Want from Their Jobs.

ERIC Educational Resources Information Center

Cangemi, Joseph P.; Guttschalk, George E.

1986-01-01

Surveyed what employees (N=35,000) really want from their jobs and what their supervisors perceive they want from their jobs. The employees' highest ranking wants--full appreciation for work done, feeling "in" on things, and sympathetic understanding of personal problems--were the supervisors' (thinking money was the most desired) perceptions of…

Evaluation Study Design--A Pluralist Approach to Evidence

ERIC Educational Resources Information Center

Fives, Allyn; Canavan, John; Dolan, Pat

2017-01-01

There is significant controversy over what counts as evidence in the evaluation of social interventions. It is increasingly common to use methodological criteria to rank evidence types in a hierarchy, with Randomised Controlled Trials (RCTs) at or near the highest level. Because of numerous challenges to a hierarchical approach, this article…

Workers' Compensation Claims and Physical Fitness Capacity of Police Officers.

ERIC Educational Resources Information Center

Boyce, Robert W.; And Others

1992-01-01

A study compared police officers' physical fitness levels with workers' compensation (WC) claims. Officers who collected WC were predominantly female, younger, and lower ranking, with better physical fitness than officers not collecting WC. Officers in the second highest fitness level and older officers with greater cardiovascular fitness had…

Special Report: Top 100 Degree Producers. Part II.

ERIC Educational Resources Information Center

Black Issues in Higher Education, 1999

1999-01-01

Data on the colleges and universities producing the highest numbers of minority master's, doctoral, and first professional degrees in 1996-1997 are presented. Rankings are organized by degree level, ethnic group (African American, Hispanic American, Asian American, Native American), discipline group, and overall graduation rate. Breakouts are also…

Implementation of a Process for the Design of an Episodic Ethics Assessment Instrument.

ERIC Educational Resources Information Center

DuFrene, Debbie D.; And Others

1993-01-01

Responses from 52 of 174 business faculty and 61 of 203 business practitioners rated important ethical concerns on a Kohlberg-influenced scale. A high degree of consistency between the two samples was found. Environmental, employment, and corporate/individual integrity issues ranked highest. (SK)

Why Singaporean 8th Grade Students Gain Highest Mathematics Ranking in TIMSS (1999-2011)

ERIC Educational Resources Information Center

Lessani, Abdolreza; Yunus, Aida Suraya Md; Tarmiz, Rohani Ahmad; Mahmud, Rosnaini

2014-01-01

The international comparison of students' mathematics knowledge and competencies is an effective method of evaluating students' mathematics performance and developing policies to improve their achievements in mathematics. Trends in International Mathematics and Science Study (TIMSS) are among the most well-recognized international comparisons that…

Major Contributors to the Rehabilitation Counseling Literature from 1970 to 1985.

ERIC Educational Resources Information Center

Bergland, Martha M.

1988-01-01

Idenitified and ranked most frequent individual contributors from 1970 through 1985 of articles published in the "Rehabilitation Counseling Bulletin" and the "Journal of Applied Rehabilitation Counseling" according to frequency of contributions. Institutions from which each of 18 leading contributors received highest degrees are identified, along…

24 CFR 203.605 - Loss mitigation performance.

Code of Federal Regulations, 2010 CFR

2010-04-01

... performance. (1) HUD will measure and advise mortgagees of their loss mitigation performance through the Tier... mitigation attempts, defaults, and claims. Based on the ratios, HUD will group mortgagees in four tiers (Tiers 1, 2, 3, and 4), with Tier 1 representing the highest or best ranking mortgagees and Tier 4...

The Current Women Superintendents in Texas: Still in the Minority

ERIC Educational Resources Information Center

Sampson, Pauline; Davenport, Marie

2010-01-01

The superintendent is the highest ranking administrator in a school district (Katz, 2005). Despite increasing trends of women advancing in the fields of business and government, the superintendent position in school districts still has relatively few women (Brunner & Grogan, 2007; Dana & Bourisaw, 2006; Glass, 2000; Grogan & Brunner,…

Aligning Continuing Education Units and Universities: Survival Strategies for the New Millennium.

ERIC Educational Resources Information Center

Petersen, Nancy

2001-01-01

Canadian continuing education deans (20 of 53 surveyed) ranked their units' contributions in four categories. Highest rated were monetary (those generating substantial funds), programmatic/teaching (those supporting the core mission), scholarly/research (those supporting the research mission), and strategic (public relations and new initiatives).…

Income and Social Rank Influence UK Children's Behavioral Problems: A Longitudinal Analysis.

PubMed

Garratt, Elisabeth A; Chandola, Tarani; Purdam, Kingsley; Wood, Alex M

2017-07-01

Children living in low-income households face elevated risks of behavioral problems, but the impact of absolute and relative income to this risk remains unexplored. Using the U.K. Millennium Cohort Study data, longitudinal associations between Strengths and Difficulties Questionnaire scores and absolute household income, distance from the regional median and mean income, and regional income rank were examined in 3- to 12-year-olds (n = 16,532). Higher absolute household incomes were associated with lower behavioral problems, while higher income rank was associated with lower behavioral problems only at the highest absolute incomes. Higher absolute household incomes were associated with lower behavioral problems among children in working households, indicating compounding effects of income and socioeconomic advantages. Both absolute and relative incomes therefore appear to influence behavioral problems. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

A European Competence Framework for Industrial Pharmacy Practice in Biotechnology.

PubMed

Atkinson, Jeffrey; Crowley, Pat; De Paepe, Kristien; Gennery, Brian; Koster, Andries; Martini, Luigi; Moffat, Vivien; Nicholson, Jane; Pauwels, Gunther; Ronsisvalle, Giuseppe; Sousa, Vitor; van Schravendijk, Chris; Wilson, Keith

2015-07-29

The PHAR-IN (" Competences for industrial pharmacy practice in biotechnology ") looked at whether there is a difference in how industrial employees and academics rank competences for practice in the biotechnological industry. A small expert panel consisting of the authors of this paper produced a biotechnology competence framework by drawing up an initial list of competences then ranking them in importance using a three-stage Delphi process. The framework was next evaluated and validated by a large expert panel of academics ( n = 37) and industrial employees ( n = 154). Results show that priorities for industrial employees and academics were similar. The competences for biotechnology practice that received the highest scores were mainly in: "Research and Development", '"Upstream" and "Downstream" Processing', "Product development and formulation", "Aseptic processing", "Analytical methodology", "Product stability", and "Regulation". The main area of disagreement was in the category "Ethics and drug safety" where academics ranked competences higher than did industrial employees.

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

DTIC Science & Technology

2001-04-01

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

Robust Sensitivity Analysis of Courses of Action Using an Additive Value Model

DTIC Science & Technology

2008-03-01

According to Clemen , sensitivity analysis answers, “What makes a difference in this decision?” (2001:175). Sensitivity analysis can also indicate...alternative to change. These models look for the new weighting that causes a specific alternative to rank above all others. 19 Barron and Schmidt first... Schmidt , 1988:123). A smaller objective function value indicates greater sensitivity. Wolters and Mareschal propose a similar approach using goal

Disease Specific Productivity of American Cancer Hospitals

PubMed Central

Goldstein, Jeffery A.; Prasad, Vinay

2015-01-01

Context Research-oriented cancer hospitals in the United States treat and study patients with a range of diseases. Measures of disease specific research productivity, and comparison to overall productivity, are currently lacking. Hypothesis Different institutions are specialized in research of particular diseases. Objective To report disease specific productivity of American cancer hospitals, and propose a summary measure. Method We conducted a retrospective observational survey of the 50 highest ranked cancer hospitals in the 2013 US News and World Report rankings. We performed an automated search of PubMed and Clinicaltrials.gov for published reports and registrations of clinical trials (respectively) addressing specific cancers between 2008 and 2013. We calculated the summed impact factor for the publications. We generated a summary measure of productivity based on the number of Phase II clinical trials registered and the impact factor of Phase II clinical trials published for each institution and disease pair. We generated rankings based on this summary measure. Results We identified 6076 registered trials and 6516 published trials with a combined impact factor of 44280.4, involving 32 different diseases over the 50 institutions. Using a summary measure based on registered and published clinical trails, we ranked institutions in specific diseases. As expected, different institutions were highly ranked in disease-specific productivity for different diseases. 43 institutions appeared in the top 10 ranks for at least 1 disease (vs 10 in the overall list), while 6 different institutions were ranked number 1 in at least 1 disease (vs 1 in the overall list). Conclusion Research productivity varies considerably among the sample. Overall cancer productivity conceals great variation between diseases. Disease specific rankings identify sites of high academic productivity, which may be of interest to physicians, patients and researchers. PMID:25781329

Disease specific productivity of american cancer hospitals.

PubMed

Goldstein, Jeffery A; Prasad, Vinay

2015-01-01

Research-oriented cancer hospitals in the United States treat and study patients with a range of diseases. Measures of disease specific research productivity, and comparison to overall productivity, are currently lacking. Different institutions are specialized in research of particular diseases. To report disease specific productivity of American cancer hospitals, and propose a summary measure. We conducted a retrospective observational survey of the 50 highest ranked cancer hospitals in the 2013 US News and World Report rankings. We performed an automated search of PubMed and Clinicaltrials.gov for published reports and registrations of clinical trials (respectively) addressing specific cancers between 2008 and 2013. We calculated the summed impact factor for the publications. We generated a summary measure of productivity based on the number of Phase II clinical trials registered and the impact factor of Phase II clinical trials published for each institution and disease pair. We generated rankings based on this summary measure. We identified 6076 registered trials and 6516 published trials with a combined impact factor of 44280.4, involving 32 different diseases over the 50 institutions. Using a summary measure based on registered and published clinical trails, we ranked institutions in specific diseases. As expected, different institutions were highly ranked in disease-specific productivity for different diseases. 43 institutions appeared in the top 10 ranks for at least 1 disease (vs 10 in the overall list), while 6 different institutions were ranked number 1 in at least 1 disease (vs 1 in the overall list). Research productivity varies considerably among the sample. Overall cancer productivity conceals great variation between diseases. Disease specific rankings identify sites of high academic productivity, which may be of interest to physicians, patients and researchers.

Keyword extraction by nonextensivity measure.

PubMed

Mehri, Ali; Darooneh, Amir H

2011-05-01

The presence of a long-range correlation in the spatial distribution of a relevant word type, in spite of random occurrences of an irrelevant word type, is an important feature of human-written texts. We classify the correlation between the occurrences of words by nonextensive statistical mechanics for the word-ranking process. In particular, we look at the nonextensivity parameter as an alternative metric to measure the spatial correlation in the text, from which the words may be ranked in terms of this measure. Finally, we compare different methods for keyword extraction. © 2011 American Physical Society

On standardization of low symmetry crystal fields

NASA Astrophysics Data System (ADS)

Gajek, Zbigniew

2015-07-01

Standardization methods of low symmetry - orthorhombic, monoclinic and triclinic - crystal fields are formulated and discussed. Two alternative approaches are presented, the conventional one, based on the second-rank parameters and the standardization based on the fourth-rank parameters. Mainly f-electron systems are considered but some guidelines for d-electron systems and the spin Hamiltonian describing the zero-field splitting are given. The discussion focuses on premises for choosing the most suitable method, in particular on inadequacy of the conventional one. Few examples from the literature illustrate this situation.

Ranking of options of real estate use by expert assessments mathematical processing

NASA Astrophysics Data System (ADS)

Lepikhina, O. Yu; Skachkova, M. E.; Mihaelyan, T. A.

2018-05-01

The article is devoted to the development of the real estate assessment concept. In conditions of multivariate using of the real estate method based on calculating, the integral indicator of each variant’s efficiency is proposed. In order to calculate weights of criteria of the efficiency expert method, Analytic hierarchy process and its mathematical support are used. The method allows fulfilling ranking of alternative types of real estate use in dependence of their efficiency. The method was applied for one of the land parcels located on Primorsky district in Saint Petersburg.

Worldwide Research Productivity in the Field of Arthroscopy: A Bibliometric Analysis.

PubMed

Liang, Zhimin; Luo, Xuyao; Gong, Feng; Bao, Hongwei; Qian, Haiping; Jia, Zhiwei; Li, Guo

2015-08-01

This study aimed to evaluate the quantity and quality of articles from different countries involving arthroscopy to investigate the characteristics of worldwide research productivity. Web of Science was searched for arthroscopy articles published between 1999 and 2013. The numbers of articles and citations were analyzed to assess the contributions of different countries. Publication activity was adjusted by country population and gross domestic product (GDP). A total of 12,553 articles were published worldwide. The time trend for the number of articles showed an increase of 2.27-fold between 1999 and 2013. North America, Western Europe, and Eastern Asia were the most productive areas. High-income countries published 90.86% of the articles; middle-income countries, 9.11%; and lower-income countries, only 0.02%. The United States published the most articles (35.40%), followed by Germany (9.53%), the United Kingdom (6.80%), the Republic of Korea (5.45%), and Japan (4.76%), and had the highest total citations (78,161). However, Sweden had the highest mean citations (35.56), followed by Switzerland (23.39) and the Netherlands (18.90). There were positive correlations between the number of publications and population/GDP (P < .01). When normalized to population, Switzerland ranked the highest, followed by Finland and Sweden. When adjusted by GDP, the Republic of Korea ranked first, followed by Finland and Turkey. The number of publications on arthroscopy increased significantly from 1999 to 2013, with a more than 2-fold increase in volume. The United States was the most productive country as measured by total publications, but when adjusted for population, Switzerland published the highest number of articles, followed by Finland and Sweden. When publications were adjusted for GDP, the Republic of Korea ranked first, with Finland second and Turkey third. Bibliometric analysis allows us to understand contributions of different world regions in scientific research in the field of arthroscopy and gives insight into the quantity and quality of articles related to arthroscopy. Copyright © 2015 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Social rank and social cooperation: Impact of social comparison processes on cooperative decision-making

PubMed Central

Sanfey, Alan G.

2017-01-01

Successful navigation of our complex social world requires the capability to recognize and judge the relative status of others. Hence, social comparison processes are of great importance in our interactions, informing us of our relative standing and in turn potentially motivating our behavior. However, so far few studies have examined in detail how social comparison can influence interpersonal decision-making. One aspect of social decision-making that is of particular importance is cooperative behavior, and identifying means of maintaining and promoting cooperation in the provision of public goods is of vital interest to society. Here, we manipulated social comparison by grading performance rankings on a reaction time task, and then measured cooperative decisions via a modified Public Goods Game (PGG). Findings revealed that individuals ranked highest tended to be more cooperative as compared to those who placed in the bottom rank. Interestingly, this effect was regardless of whether the comparison group members were the subsequent players in the PGG or not, and this effect was stronger in those with higher social orientation. In summary, the present research shows how different social comparison processes (assessed via social rankings) can operate in our daily interaction with others, demonstrating an important effect on cooperative behavior. PMID:28388684

A survey on psychiatric patients' use of non-medical alternative practitioners: incidence, methods, estimation, and satisfaction.

PubMed

Demling, J H; Neubauer, S; Luderer, H-J; Wörthmüller, M

2002-12-01

We investigated to what extent psychiatric inpatients consult Heilpraktiker, i.e. non-academically trained providers of complementary and alternative medicine (CAM), which diagnostic and therapeutic methods Heilpraktiker employ, how patients assess Heilpraictikers' professional competence, CAM in general and issues of satisfaction for those who have had experience with Heilpraktiker. Four hundred and seventy three patients admitted to a psychiatric university department during a 9-month period filled out a questionnaire developed for this investigation. About one third of the patients had consulted a Heilpraktiker, a quarter of these for their current psychiatric illness. Women were in the majority. Patients with the highest secondary school education consulted Heilpraktiker less often. There was considerable 'customer loyalty' towards Heilpraktiker. Largely the same diagnostic and treatment methods were employed for mental illness as for somatic complaints. Except for iridology, exotic or dangerous methods played a secondary role. Patients generally revealed a very positive attitude toward Heilpraktiker and CAM, although methods were rated differently. CAM enjoyed greater appreciation among women and patients who had consulted Heilpraktiker. Patients with personal experience were, on the whole, very satisfied with the professional competence, with the atmosphere in the practice and staff concern for the patient's well-being. Degree of satisfaction correlated closely with frequency of consultation. More patients with neurotic disorders considered the cost unreasonable than others, despite comparatively frequent visits. Psychiatric patients seek out Heilpraktiker to a considerable degree. Especially those who have relevant experience rank Heilpraktiker highly, in particular due to their 'psychotherapeutic' attitude, but professional competence is also valued. Methods of CAM received mixed reviews from patients but are generally seen in a positive light. It is recommended that doctors collecting case history data on their patients also ask about experience with alternative practitioners and treatments.

Developing a geomorphic approach for ranking watersheds for rehabilitation, Zuni Indian Reservation, New Mexico

USGS Publications Warehouse

Gellis, A.C.; Cheama, A.; Lalio, S.M.

2001-01-01

As a result of past erosion problems on the Zuni Indian Reservation in western New Mexico, the US Congress in 1990 authorized the Zuni Tribe to begin a program for watershed rehabilitation. This paper describes an approach to rank the most appropriate watersheds for rehabilitation for the Zuni Reservation. The approach was based on data collected during a 3-year study on geomorphic and anthropogenic characteristics of the Rio Nutria Watershed, including data on (i) arroyo cross-sectional changes, (ii) erosion-control structures, and (iii) sheetwash erosion. Results of this 3-year study indicated that 61 of 85 channel cross-sections aggraded and channels with lower width-to-depth ratios eroded. Results on assessment of erosion-control structures, some dating back to the 1930's, indicated that 60% of earthen dams and 22% of rock-and-brush structures were breached or flanked in the Rio Nutria Watershed. Sheetwash erosion measured on five land-cover sites (sagebrush, pasture, chained pin??on and juniper, unchained pin??on and juniper, and ponderosa pine) indicated chained pin??on and juniper sites and pasture sites had the highest volume-weighted sediment concentrations of 13,000 and 9970 ppm, respectively. Based on interpretations of the 3-year study in the Rio Nutria Watershed, a two-stage approach was developed to rank the most appropriate watersheds for rehabilitation on the Zuni Reservation. In the first stage, the reservation was divided into eight major watersheds, which were ranked according to the most potential for erosion. In the second stage, the watershed with the most potential for erosion was divided into sub-basins, which were ranked according to the most potential for erosion. Quantitative and qualitative information on physical and anthropogenic factors were used at each stage to rank the watersheds. Quantitative physical data included headcut density, percentage of bare ground, percentage of chained area, channel width-to-depth ratio, change in channel density from 1934 to 1988, and sheetwash erosion rates. Qualitative physical data included erosion rankings on the main channels, tributaries, and entire basins. Anthropogenic data included density of dirt roads and condition of erosion-control structures. A community survey and agricultural acreage were also used in the selection process. The first stage analysis resulted in the selection of the Rio Nutria Watershed as the most appropriate major watershed for rehabilitation. In the second stage, the Rio Nutria Watershed was divided into 15 sub-basins; the analysis indicated the highest priority sub-basins for rehabilitation were Benny Draw, Coal Mine Canyon Draw, and Garcia Draw.

Robustness Metrics: How Are They Calculated, When Should They Be Used and Why Do They Give Different Results?

NASA Astrophysics Data System (ADS)

McPhail, C.; Maier, H. R.; Kwakkel, J. H.; Giuliani, M.; Castelletti, A.; Westra, S.

2018-02-01

Robustness is being used increasingly for decision analysis in relation to deep uncertainty and many metrics have been proposed for its quantification. Recent studies have shown that the application of different robustness metrics can result in different rankings of decision alternatives, but there has been little discussion of what potential causes for this might be. To shed some light on this issue, we present a unifying framework for the calculation of robustness metrics, which assists with understanding how robustness metrics work, when they should be used, and why they sometimes disagree. The framework categorizes the suitability of metrics to a decision-maker based on (1) the decision-context (i.e., the suitability of using absolute performance or regret), (2) the decision-maker's preferred level of risk aversion, and (3) the decision-maker's preference toward maximizing performance, minimizing variance, or some higher-order moment. This article also introduces a conceptual framework describing when relative robustness values of decision alternatives obtained using different metrics are likely to agree and disagree. This is used as a measure of how "stable" the ranking of decision alternatives is when determined using different robustness metrics. The framework is tested on three case studies, including water supply augmentation in Adelaide, Australia, the operation of a multipurpose regulated lake in Italy, and flood protection for a hypothetical river based on a reach of the river Rhine in the Netherlands. The proposed conceptual framework is confirmed by the case study results, providing insight into the reasons for disagreements between rankings obtained using different robustness metrics.

Alternative of raw material’s suppliers using TOPSIS method in chicken slaughterhouse industry

NASA Astrophysics Data System (ADS)

Sari, R. M.; Rizkya, I.; Syahputri, K.; Anizar; Siregar, I.

2018-02-01

Chicken slaughterhouse industry is one of the fastest growing industries that depends on the freshness of raw materials. The raw materials quality arrive at the company depends heavily on the suppliers. Fresh chicken and frozen chicken meat are the main raw materials for this industry. Problems occurred by the suppliers are catering the amount of raw material needs that are not appropriate and also delay during delivery process. This condition causes disruption of the production process in the company. Therefore, it is necessary to determine the best suppliers to supply the main raw materials of fresh and frozen chicken meat on the slaughterhouse chicken industry. This study analyze the supplier’s capability by using TOPSIS method. This method use to find out the best supplier. The TOPSIS method is performed using the principle that chosen alternative must have the shortest distance from the positive solution and furthest from the ideal solution of the geometric point by using the Euclidean distance to determine the relative proximity of the optimum solution alternative. TOPSIS method found the rank of best supplier’s order is supplier A followed by supplier D, supplier B, supplier C, supplier E, supplier F, and supplier G. Based on the rank order obtained from each company, it will assist the company in prioritizing the order to the supplier with the best rank. Total supply from All suppliers are 885,994 kg per month. Based on the results of research, the top five suppliers have been sufficient to meet the needs of the company.

Comparing multi-criteria decision analysis and integrated assessment to support long-term water supply planning

PubMed Central

Maurer, Max; Lienert, Judit

2017-01-01

We compare the use of multi-criteria decision analysis (MCDA)–or more precisely, models used in multi-attribute value theory (MAVT)–to integrated assessment (IA) models for supporting long-term water supply planning in a small town case study in Switzerland. They are used to evaluate thirteen system scale water supply alternatives in four future scenarios regarding forty-four objectives, covering technical, social, environmental, and economic aspects. The alternatives encompass both conventional and unconventional solutions and differ regarding technical, spatial and organizational characteristics. This paper focuses on the impact assessment and final evaluation step of the structured MCDA decision support process. We analyze the performance of the alternatives for ten stakeholders. We demonstrate the implications of model assumptions by comparing two IA and three MAVT evaluation model layouts of different complexity. For this comparison, we focus on the validity (ranking stability), desirability (value), and distinguishability (value range) of the alternatives given the five model layouts. These layouts exclude or include stakeholder preferences and uncertainties. Even though all five led us to identify the same best alternatives, they did not produce identical rankings. We found that the MAVT-type models provide higher distinguishability and a more robust basis for discussion than the IA-type models. The needed complexity of the model, however, should be determined based on the intended use of the model within the decision support process. The best-performing alternatives had consistently strong performance for all stakeholders and future scenarios, whereas the current water supply system was outperformed in all evaluation layouts. The best-performing alternatives comprise proactive pipe rehabilitation, adapted firefighting provisions, and decentralized water storage and/or treatment. We present recommendations for possible ways of improving water supply planning in the case study and beyond. PMID:28481881

Comparing Alternatives For Replacing Harmful Chemicals

NASA Technical Reports Server (NTRS)

Cruit, W.; Schutzenhofer, S.; Goldberg, B.; Everhart, K.

1995-01-01

Methodology developed to provide guidance for replacement of industrial chemicals that must be phased out by law because they are toxic and/or affect environment adversely. Chemicals and processes ranked numerically. Applies mostly to chemicals contributing to depletion of ozone in upper atmosphere; some other harmful chemicals included. Quality function deployment matrix format provides convenient way to compare alternative processes and chemicals. Overall rating at bottom of each process-and-chemical column indicates relative advantage.

Investigating the timing of origin and evolutionary processes shaping regional species diversity: Insights from simulated data and neotropical butterfly diversification rates.

PubMed

Matos-Maraví, Pável

2016-07-01

Different diversification scenarios have been proposed to explain the origin of extant biodiversity. However, most existing meta-analyses of time-calibrated phylogenies rely on approaches that do not quantitatively test alternative diversification processes. Here, I highlight the shortcomings of using species divergence ranks, which is a method widely used in meta-analyses. Divergence ranks consist of categorizing cladogenetic events to certain periods of time, typically to either Pleistocene or to pre-Pleistocene ages. This approach has been claimed to shed light on the origin of most extant species and the timing and dynamics of diversification in any biogeographical region. However, interpretations drawn from such method often confound two fundamental questions in macroevolutionary studies, tempo (timing of evolutionary rate shifts) and mode ("how" and "why" of speciation). By using simulated phylogenies under four diversification scenarios, constant-rate, diversity-dependence, high extinction, and high speciation rates in the Pleistocene, I showed that interpretations based on species divergence ranks might have been seriously misleading. Future meta-analyses of dated phylogenies need to be aware of the impacts of incomplete taxonomic sampling, tree topology, and divergence time uncertainties, as well as they might be benefited by including quantitative tests of alternative diversification models that acknowledge extinction and diversity dependence. © 2016 The Author(s).

Seeking health information online: does Wikipedia matter?

PubMed

Laurent, Michaël R; Vickers, Tim J

2009-01-01

OBJECTIVE To determine the significance of the English Wikipedia as a source of online health information. DESIGN The authors measured Wikipedia's ranking on general Internet search engines by entering keywords from MedlinePlus, NHS Direct Online, and the National Organization of Rare Diseases as queries into search engine optimization software. We assessed whether article quality influenced this ranking. The authors tested whether traffic to Wikipedia coincided with epidemiological trends and news of emerging health concerns, and how it compares to MedlinePlus. MEASUREMENTS Cumulative incidence and average position of Wikipedia compared to other Web sites among the first 20 results on general Internet search engines (Google, Google UK, Yahoo, and MSN, and page view statistics for selected Wikipedia articles and MedlinePlus pages. RESULTS Wikipedia ranked among the first ten results in 71-85% of search engines and keywords tested. Wikipedia surpassed MedlinePlus and NHS Direct Online (except for queries from the latter on Google UK), and ranked higher with quality articles. Wikipedia ranked highest for rare diseases, although its incidence in several categories decreased. Page views increased parallel to the occurrence of 20 seasonal disorders and news of three emerging health concerns. Wikipedia articles were viewed more often than MedlinePlus Topic (p = 0.001) but for MedlinePlus Encyclopedia pages, the trend was not significant (p = 0.07-0.10). CONCLUSIONS Based on its search engine ranking and page view statistics, the English Wikipedia is a prominent source of online health information compared to the other online health information providers studied.

Multi Criteria Decision Making to evaluate control strategies of contagious animal diseases.

PubMed

Mourits, M C M; van Asseldonk, M A P M; Huirne, R B M

2010-09-01

The decision on which strategy to use in the control of contagious animal diseases involves complex trade-offs between multiple objectives. This paper describes a Multi Criteria Decision Making (MCDM) application to illustrate its potential support to policy makers in choosing the control strategy that best meets all of the conflicting interests. The presented application focused on the evaluation of alternative strategies to control Classical Swine Fever (CSF) epidemics within the European Union (EU) according to the preferences of the European Chief Veterinary Officers (CVO). The performed analysis was centred on the three high-level objectives of epidemiology, economics and social ethics. The appraised control alternatives consisted of the EU compulsory control strategy, a pre-emptive slaughter strategy, a protective vaccination strategy and a suppressive vaccination strategy. Using averaged preference weights of the elicited CVOs, the preference ranking of the control alternatives was determined for six EU regions. The obtained results emphasized the need for EU region-specific control. Individual CVOs differed in their views on the relative importance of the various (sub)criteria by which the performance of the alternatives were judged. Nevertheless, the individual rankings of the control alternatives within a region appeared surprisingly similar. Based on the results of the described application it was concluded that the structuring feature of the MCDM technique provides a suitable tool in assisting the complex decision making process of controlling contagious animal diseases. 2010 Elsevier B.V. All rights reserved.

Are your covariates under control? How normalization can re-introduce covariate effects.

PubMed

Pain, Oliver; Dudbridge, Frank; Ronald, Angelica

2018-04-30

Many statistical tests rely on the assumption that the residuals of a model are normally distributed. Rank-based inverse normal transformation (INT) of the dependent variable is one of the most popular approaches to satisfy the normality assumption. When covariates are included in the analysis, a common approach is to first adjust for the covariates and then normalize the residuals. This study investigated the effect of regressing covariates against the dependent variable and then applying rank-based INT to the residuals. The correlation between the dependent variable and covariates at each stage of processing was assessed. An alternative approach was tested in which rank-based INT was applied to the dependent variable before regressing covariates. Analyses based on both simulated and real data examples demonstrated that applying rank-based INT to the dependent variable residuals after regressing out covariates re-introduces a linear correlation between the dependent variable and covariates, increasing type-I errors and reducing power. On the other hand, when rank-based INT was applied prior to controlling for covariate effects, residuals were normally distributed and linearly uncorrelated with covariates. This latter approach is therefore recommended in situations were normality of the dependent variable is required.

Selecting Appropriate Training Goals and Objectives.

ERIC Educational Resources Information Center

Zane, Thomas; Thvedt, John E.

The authors propose a system for determining which goals and target behaviors are of highest priority for handicapped students. In a meeting of the interdisciplinary treatment team, goals are set forth and ranked according to answers to a series of questions: (1) will acquiring the behavior increase the probability of the client living, being…

Concerns of Teacher Candidates in an Early Field Experience

ERIC Educational Resources Information Center

Chang, Sau Hou

2009-01-01

The present study examined the concerns of teacher candidates in an early field experience. Thirty-five teacher candidates completed the Teacher Concerns Checklist (TCC, Fuller & Borich, 2000) at the beginning, middle and end of their early field experiences. Results showed that teacher candidates ranked impact as the highest concern, self as…

Getting What You Pay For? A Look at America's Top-Ranked Public Universities

ERIC Educational Resources Information Center

Poliakoff, Michael; Alacbay, Armand

2014-01-01

America's great public universities were founded with the highest expectations of academic excellence and service to their states. Overall, these institutions, often called the "flagship universities," do a poor job of ensuring that undergraduate students engage in an intellectually vibrant campus culture and leave with a solid…

Largest College Endowments, 2011

ERIC Educational Resources Information Center

Chronicle of Higher Education, 2012

2012-01-01

Of all endowments valued at more than $250-million, the UCLA Foundation had the highest rate of growth over the previous year, at 49 percent. This article presents a table of the largest college endowments in 2011. The table covers the "rank," "institution," "market value as of June 30, 2011," and "1-year change" of institutions participating in…

Interaction Effects in Cross-National Studies of Achievement.

ERIC Educational Resources Information Center

Fletcher, Todd V.; Sabers, Darrell L.

1995-01-01

The Bateria Woodcock Psico-Educativa en Espanol was administered to urban children in grades 1, 3, 5, 8, and 11 in Spain, Puerto Rico, Mexico, Costa Rica, and Peru. Spain consistently ranked highest on all achievement clusters (subject areas). For the other countries, interactions of cluster by grade level preclude any interpretation of main…

Analyzing Army Reserve Unsatisfactory Participants through Logistic Regression

DTIC Science & Technology

2012-06-08

Unsatisfactory Participants by State/Territory ...............................45 Figure 14. Observed vs . Expected Unsatisfactory Participants by Grade...47 Figure 15. Observed vs . Expected Unsatisfactory Participants by Age ............................47 x TABLES Page Table...rank, and previous military experience. “A typical 1995-96 USAR Unsatisfactory Participant was a white, unmarried male whose highest level of

77 FR 48499 - U.S. Multi-Sector Trade Mission to South India and Sri Lanka Chennai and Cochin, India and...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-08-14

... losses in India's transmission and distribution sector exceed 30%, which ranks among the highest rates of... Sri Lanka boost their infrastructure and building requirements. Target subsectors holding high.... The availability of electricity, fresh water, long coastline, backwaters, good banking facilities...

Statewide traffic safety study phase I : review of current traffic safety research, practice, analytical procedures, and databases [technical summary report].

DOT National Transportation Integrated Search

2008-03-01

In the last decade, Louisianas traffic related fatality rate has consistently put Louisiana within the : top eight highest ranking states in the nation with regard to such; in 2001, Louisiana tied with : Montana and South Carolina as states with t...

Motivational Issues of Faculty in Saudi Arabia

ERIC Educational Resources Information Center

Abdul-Cader, Akram; Anthony, Peter John

2014-01-01

This study focused on the factors that affect motivation of faculty in Saudi Arabia. It included two surveys and open-ended queries to a focus group of five academic managers and 25 faculty members of varying nationalities, rank, and institutes in Saudi Arabia. The research showed that the faculties in Saudi Arabia's highest education industry…

Identification of superior lipid producing Lipomyces and Myxozyma yeasts

USDA-ARS?s Scientific Manuscript database

Oleaginous yeasts are of interest for production of single cell oils from sugars. Here 17 members of the Lipomyces and Myxozyma clade were screened for lipid production when cultured on glucose. The highest ranking yeasts included L. tetrasporus (21 g/l), L. kononenkoae (19.6 g/l), and L. lipofer (1...

Workforce: Utah

ERIC Educational Resources Information Center

Western Interstate Commission for Higher Education, 2006

2006-01-01

In the decade leading up to 2012, Utah will see the second highest rate of job growth in the U.S. and an increasing demand for well-educated employees. Technology-related professions will see their ranks swell by 43 percent, while healthcare will grow by 42 percent. Teachers' numbers will increase by 37 percent: nearly 24,000 new jobs for…

Incentives and Barriers for Potential Music Teacher Education Doctoral Students

ERIC Educational Resources Information Center

Teachout, David J.

2004-01-01

The purpose of this study was to examine positive influences and barriers associated with entering a music teacher education doctoral program. Practicing music educators (N = 63), were asked to rate 48 positive-influence items and 54 barrier items. The highest-ranked positive influence was "Training young teachers to provide worthwhile…

An analysis of key environmental and social risks in the development of concentrated solar power projects

NASA Astrophysics Data System (ADS)

Otieno, George A.; Loosen, Alexander E.

2016-05-01

Concentrated Solar Power projects have impacts on local environment and social conditions. This research set out to investigate the environmental and social risks in the development of such projects and rank these risks from highest to lowest. The risks were analysed for parabolic trough and tower technologies only. A literature review was undertaken, identifying seventeen risks that were then proposed to six CSP experts for scoring. The risks were scored based of five factors on a five tier scale. The scores from the experts were compiled to develop an overall rank of the identified risks. The risk of disruption of local water resources was found to represent the highest risk before and after mitigation with a score of moderate-high and moderate respectively. This score is linked to the importance of water in water scarce regions typified by the best regions for CSP. The risks to avian species, to worker health and safety, due to noise on the environment, to visual and recreational resources completed the top five risks after mitigation.

Life-cycle assessment of selected management options for air pollution control residues from waste incineration.

PubMed

Fruergaard, Thilde; Hyks, Jiri; Astrup, Thomas

2010-09-15

Based on available technology and emission data seven selected management options for air-pollution-control (APC) residues from waste incineration were evaluated by life-cycle assessment (LCA) using the EASEWASTE model. Scenarios were evaluated with respect to both non-toxicity impact categories (e.g. global warming) and toxicity related impact categories (e.g. ecotoxicity and human toxicity). The assessment addressed treatment and final placement of 1 tonne of APC residue in seven scenarios: 1) direct landfilling without treatment (baseline), 2) backfilling in salt mines, 3) neutralization of waste acid, 4) filler material in asphalt, 5) Ferrox stabilization, 6) vitrification, and 7) melting with automobile shredder residues (ASR). The management scenarios were selected as examples of the wide range of different technologies available worldwide while at the same time using realistic technology data. Results from the LCA were discussed with respect to importance of: energy consumption/substitution, material substitution, leaching, air emissions, time horizon aspects for the assessment, and transportation distances. The LCA modeling showed that thermal processes were associated with the highest loads in the non-toxicity categories (energy consumption), while differences between the remaining alternatives were small and generally considered insignificant. In the toxicity categories, all treatment/utilization options were significantly better than direct landfilling without treatment (lower leaching), although the thermal processes had somewhat higher impacts than the others options (air emissions). Transportation distances did not affect the overall ranking of the management alternatives. Copyright 2010 Elsevier B.V. All rights reserved.

Effects of pigeon pea and plantain starches on the compressional, mechanical, and disintegration properties of paracetamol tablets.

PubMed

Dare, Kunle; Akin-Ajani, Dorothy O; Odeku, Oluwatoyin A; Itiola, Oludele A; Odusote, Omotunde M

2006-03-01

A study has been made of the effects of pigeon pea starch obtained from the plant Cajanus cajan (L) Millisp. (family Fabaceae) and plantain starch obtained from the unripe fruit of Musa paradisiaca L. (family Musaceae) on the compressional, mechanical, and disintegration properties of paracetamol tablets in comparison with official corn starch BP. Analysis of compressional properties was done by using density measurements, and the Heckel and Kawakita equations, whereas the mechanical properties of the tablets were evaluated by using tensile strength (T--a measure of bond strength) and brittle fracture index (BFI--a measure of lamination tendency). The ranking for the mean yield pressure, P(y), for the formulations containing the different starches was generally corn < pigeon pea < plantain starch while the ranking for P(k), an inverse measure of the amount of plasticity, was pigeon pea < plantain < corn starch, which indicated that formulations containing corn starch generally exhibited the fastest onset of plastic deformation, whereas those formulations containing pigeon pea starch exhibited the highest amount of plastic deformation during tableting. The tensile strength of the tablets increased with increase in concentration of the starches while the Brittle Fracture Index decreased. The ranking for T was pigeon pea > plantain > corn starch while the ranking for BFI was corn > plantain > pigeon pea starch. The bonding capacity of the formulations was in general agreement with the tensile strength results. The disintegration time (DT) of the formulation increased with concentration of plantain and corn starches but decreased with concentration of pigeon pea starch. The general ranking of DT values was plantain < pigeon pea < corn starch. Notably, formulations containing pigeon pea starch exhibited the highest bond strength and lowest brittleness, suggesting the usefulness of pigeon pea starch in producing strong tablets with minimal lamination tendency. Plantain starch, on the other hand, would be more useful where faster disintegration of tablet is desired. The results show that the starches could be useful in various formulations depending on the intended use of the tablets with the implication that the experimental starches can be developed for commercial purposes.

The design and content of orthodontic practise websites in the UK is suboptimal and does not correlate with search ranking.

PubMed

Patel, Annika; Cobourne, Martyn T

2015-08-01

This study investigated standards of ethical advertising; design and content; and information quality associated with UK dental practice websites offering orthodontic treatment. The World Wide Web was searched from a UK-based computer using the Google search engine combined with the term 'orthodontic braces'. The first 100 UK-based dental practice websites were pooled and saved following duplicate removal. Websites were evaluated for compliance with current General Dental Council ethical advertising guidelines; accessibility, usability, and reliability using the LIDA instrument (a validated outcome tool for healthcare website design and content evaluation); and quality of information using the DISCERN toolkit (a validated method of quality assessment for online written patient information). Nine per cent of websites demonstrated full compliance with current guidelines on ethical advertising. Mean total LIDA score was 110/144 (76%) [range: 51-135; 35-94%]. Eleven websites reached a gold standard of 90% or more for total LIDA score. Mean total DISCERN score was 48/75 (64%) [range: 19-73; 25-97%]. Five websites achieved a total DISCERN score above 90%. Spearman's rank correlation coefficients demonstrated no significant correlations between LIDA (0.1669; P = 0.4252, confidence interval [CI]: -0.2560 to 0.5362) or DISCERN (0.3572; P = 0.0796, CI: -0.0565 to 0.663) score and ranking amongst the 25 highest ranked websites. Most UK websites offering orthodontic services are not fully compliant with national guidelines relating to ethical advertising. Validated measures of website design (LIDA) and information quality (DISCERN) showed wide variation amongst sites. No correlation existed between ranking amongst the highest 25 sites and either of these measures. This investigation was limited to a subsample of UK-only websites; and whilst not representative of European-wide sites, it does suggest that in the UK at least website quality can be improved. © The Author 2014. Published by Oxford University Press on behalf of the European Orthodontic Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Effects of stern-foil submerged elevation on the lift and drag of a hydrofoil craft

NASA Astrophysics Data System (ADS)

Suastika, K.; Apriansyah

2018-03-01

Effects of the stern-foil submerged elevation on the lift and drag of a hydrofoil craft are studied by using computational fluid dynamics (CFD) and by considering three alternative stern-foil submerged elevations. The submerged elevation of the front foil is kept constant in all the alternatives. From among the alternatives, the deepest stern-foil placement results in the highest stern-foil lift with the highest foil’s lift-to-drag ratio. However, considering the lift-to-drag ratio of the whole foil-strut-hull system, the shallowest stern-foil placement results in the highest lift-to-drag ratio. The struts and the foil’s submerged elevation significantly affects the drag of the whole foil-strut-hull system.

Minimizing Erosion and Agro-Pollutants Transport from Furrow Irrigated Fields to the Nearby Water Body Using Spatially-Explicit Agent Based Model and Decision Optimization Platform

NASA Astrophysics Data System (ADS)

Ghoveisi, H.; Al Dughaishi, U.; Kiker, G.

2017-12-01

Maintaining water quality in agricultural watersheds is a worldwide challenge, especially where furrow irrigation is being practiced. The Yakima River Basin watershed in south central Washington State, (USA) is an example of these impacted areas with elevated load of sediments and other agricultural products due to runoff from furrow-irrigated fields. Within the Yakima basin, the Granger Drain watershed (area of 75 km2) is particularly challenged in this regard with more than 400 flood-irrigated individual parcels (area of 21 km2) growing a variety of crops from maize to grapes. Alternatives for improving water quality from furrow-irrigated parcels include vegetated filter strip (VFS) implementation, furrow water application efficiency, polyacrylamide (PAM) application and irrigation scheduling. These alternatives were simulated separately and in combinations to explore potential Best Management Practices (BMPs) for runoff-related-pollution reduction in a spatially explicit, agent based modeling system (QnD:GrangerDrain). Two regulatory scenarios were tested to BMP adoption within individual parcels. A blanket-style regulatory scenario simulated a total of 60 BMP combinations implemented in all 409 furrow-irrigated parcels. A second regulatory scenario simulated the BMPs in 119 furrow-irrigated parcels designated as "hotspots" based on a standard 12 Mg ha-1 seasonal sediment load. The simulated cumulative runoff and sediment loading from all BMP alternatives were ranked using Multiple Criteria Decision Analysis (MCDA), specifically the Stochastic Multi-Attribute Acceptability Analysis (SMAA) method. Several BMP combinations proved successful in reducing loads below a 25 NTU (91 mg L-1) regulatory sediment concentration. The QnD:GrangerDrain simulations and subsequent MCDA ranking revealed that the BMP combinations of 5 m-VFS and high furrow water efficiency were highly ranked alternatives for both the blanket and hotspot scenarios.

Transitive inference in two lemur species (Eulemur macaco and Eulemur fulvus).

PubMed

Tromp, D; Meunier, H; Roeder, J J

2015-03-01

When confronted with tasks involving reasoning instead of simple learning through trial and error, lemurs appeared to be less competent than simians. Our study aims to investigate lemurs' capability for transitive inference, a form of deductive reasoning in which the subject deduces logical conclusions from preliminary information. Transitive inference may have an adaptative function, especially in species living in large, complex social groups and is proposed to play a major role in rank estimation and establishment of dominance hierarchies. We proposed to test the capacities of reasoning using transitive inference in two species of lemurs, the brown lemur (Eulemur fulvus) and the black lemur (Eulemur macaco), both living in multimale-multifemale societies. For that purpose, we designed an original setup providing, for the first time in this kind of cognitive task, pictures of conspecifics' faces as stimuli. Subjects were trained to differentiate six photographs of unknown conspecifics named randomly from A to F to establish the order A > B > C > D > E > F and select consistently the highest-ranking photograph in five adjacent pairs AB, BC, CD, DE, and EF. Then lemurs were presented with the same adjacent pairs and three new and non-adjacent pairs BD, BE, CE. The results showed that all subjects correctly selected the highest-ranking photograph in every non-adjacent pair, reflecting lemurs' capacity for transitive inference. Our results are discussed in the context of the still debated current theories about the mechanisms underlying this specific capacity. © 2014 Wiley Periodicals, Inc.

23 CFR 172.5 - Methods of procurement.

Code of Federal Regulations, 2011 CFR

2011-04-01

... and ranked by the contracting agency using one of the following procedures: (1) Competitive negotiation. Contracting agencies shall use competitive negotiation for the procurement of engineering and... and selection phase. Alternatively, a formal procedure adopted by State Statute enacted into law prior...

Levels of Evidence: Integrative Therapies Human Studies (PDQ®)—Health Professional Version

Cancer.gov

Levels of Evidence for Integrative, Alternative, and Complementary Therapies is about how to weigh the strength of the evidence obtained in cited research studies. Get detailed information this formal ranking system in this summary for clinicians.

Convergence between a mosquito-eating predator's natural diet and its prey-choice behaviour

PubMed Central

Jackson, Robert R.; Deng, Chan

2016-01-01

On the basis of 1115 records of Evarcha culicivora feeding in the field, we can characterize this East African jumping spider (Salticidae) as being distinctively stenophagic. We can also, on the basis of laboratory prey-choice experiments, characterize E. culicivora as having a specialized prey-classification system and a hierarchy of innate preferences for various categories of mosquitoes and other arthropods. Prey from the field belonged to 10 arthropod orders, but 94.5% of the prey records were dipterans. Mosquitoes were the dominant prey (80.2% of the records), with the majority (82.9%) of the mosquitoes being females, and thereafter midges were the most common prey (9.2% of the records). Preference profiles that were determined from experiments showed strong convergence with natural diet in some, but not all, instances. In experiments, E. culicivora adults appeared to distinguish between six prey categories and juveniles between seven, with blood-carrying anopheline female mosquitoes being ranked highest in preference. For adults, this was followed by blood-carrying culicine female mosquitoes and then anopheline female mosquitoes not carrying blood, but these two preferences were reversed for juveniles. Moreover, for juveniles, but not for adults, anopheline male mosquitoes seem to be a distinct prey category ranked in preference after blood-carrying culicine females and, for both adults and juveniles, preference for midges is evident when the alternatives are not mosquitoes. These findings illustrate the importance of going beyond simply specifying preferred prey categories when characterizing predators as ‘specialized’ and a need to make clear conceptual distinctions between a predator's natural diet, the prey categories that are relevant to the predator, and the predator's prey-choicebehaviour. PMID:28083103

Geographic exposure risk of variant Creutzfeldt-Jakob disease in US blood donors: a risk-ranking model to evaluate alternative donor-deferral policies.

PubMed

Yang, Hong; Huang, Yin; Gregori, Luisa; Asher, David M; Bui, Travis; Forshee, Richard A; Anderson, Steven A

2017-04-01

Variant Creutzfeldt-Jakob disease (vCJD) has been transmitted by blood transfusion (TTvCJD). The US Food and Drug Administration (FDA) recommends deferring blood donors who resided in or traveled to 30 European countries where they may have been exposed to bovine spongiform encephalopathy (BSE) through beef consumption. Those recommendations warrant re-evaluation, because new cases of BSE and vCJD have markedly abated. The FDA developed a risk-ranking model to calculate the geographic vCJD risk using country-specific case rates and person-years of exposure of US blood donors. We used the reported country vCJD case rates, when available, or imputed vCJD case rates from reported BSE and UK beef exports during the risk period. We estimated the risk reduction and donor loss should the deferral be restricted to a few high-risk countries. We also estimated additional risk reduction by leukocyte reduction (LR) of red blood cells (RBCs). The United Kingdom, Ireland, and France had the greatest vCJD risk, contributing approximately 95% of the total risk. The model estimated that deferring US donors who spent extended periods of time in these three countries, combined with currently voluntary LR (95% of RBC units), would reduce the vCJD risk by 89.3%, a reduction similar to that achieved under the current policy (89.8%). Limiting deferrals to exposure in these three countries would potentially allow donations from an additional 100,000 donors who are currently deferred. Our analysis suggests that a deferral option focusing on the three highest risk countries would achieve a level of blood safety similar to that achieved by the current policy. © 2016 AABB.

Treatment trends and Medicare reimbursements for localized prostate cancer in elderly patients.

PubMed

Dell'oglio, Paolo; Valiquette, Anne Sophie; Leyh-Bannurah, Sami-Ramzi; Tian, Zhe; Trudeau, Vincent; Larcher, Alessandro; Shariat, Shahrokh F; Capitanio, Umberto; Briganti, Alberto; Graefen, Markus; Montorsi, Francesco; Karakiewicz, Pierre I

2018-03-19

The absolute and proportional numbers of elderly patients diagnosed with localized prostate cancer (PCa) are on the rise. We examined treatment trends and reimbursement figures in localized PCa patients aged ≥80 years. Between 2000 and 2008, we identified 30 217 localized PCa patients aged ≥80 years in Surveillance, Epidemiology and End Results (SEER)-Medicare-linked database. Alternative treatment modalities consisted of conservative management (CM), radiation therapy (RT), radical prostatectomy (RP), and primary androgen-deprivation therapy (PADT). For all four modalities, utilization and reimbursements were examined. PADT was the most frequently used treatment modality between 2000 and 2005. CM became the dominant treatment modality from 2006-2008. RP rates were marginal and RT ranked third and its annual rate increased from 20.77% in 2000 to 29.13% in 2008. Median individual reimbursement of RT was highest and ranged from $29 343 in 2000 to $31 090 in 2008, followed by RP (from $20 560 in 2000 to $19 580 in 2008), PADT (from $18 901 in 2000 to $8000 in 2008) and CM (from $1824 in 2000 to $1938 in 2008). RT contributed to most of the cumulative annual reimbursements from 2003 (49.24%) to 2008 (72.97%). PADT ranked first from 2000 (54.56%) to 2002 (50.49%), but decreased by 19.40% in 2008. CM's contribution increased from 4.42% in 2000 to 6.96% in 2008. RP share of reimbursements was stable during the study period. Our results, focusing on localized PCa treatment in patients aged ≥80 years, showed an important increase in rates, median cost, and proportion of cumulative cost related to RT.

Key role for nuclear energy in global biodiversity conservation.

PubMed

Brook, Barry W; Bradshaw, Corey J A

2015-06-01

Modern society uses massive amounts of energy. Usage rises as population and affluence increase, and energy production and use often have an impact on biodiversity or natural areas. To avoid a business-as-usual dependence on coal, oil, and gas over the coming decades, society must map out a future energy mix that incorporates alternative sources. This exercise can lead to radically different opinions on what a sustainable energy portfolio might entail, so an objective assessment of the relative costs and benefits of different energy sources is required. We evaluated the land use, emissions, climate, and cost implications of 3 published but divergent storylines for future energy production, none of which was optimal for all environmental and economic indicators. Using multicriteria decision-making analysis, we ranked 7 major electricity-generation sources (coal, gas, nuclear, biomass, hydro, wind, and solar) based on costs and benefits and tested the sensitivity of the rankings to biases stemming from contrasting philosophical ideals. Irrespective of weightings, nuclear and wind energy had the highest benefit-to-cost ratio. Although the environmental movement has historically rejected the nuclear energy option, new-generation reactor technologies that fully recycle waste and incorporate passive safety systems might resolve their concerns and ought to be more widely understood. Because there is no perfect energy source however, conservation professionals ultimately need to take an evidence-based approach to consider carefully the integrated effects of energy mixes on biodiversity conservation. Trade-offs and compromises are inevitable and require advocating energy mixes that minimize net environmental damage. Society cannot afford to risk wholesale failure to address energy-related biodiversity impacts because of preconceived notions and ideals. © 2014 The Authors Conservation Biology published by Wiley Periodicals, Inc. on behalf of Society for Conservation Biology.

Thermal power systems small power systems applications project. Decision analysis for evaluating and ranking small solar thermal power system technologies. Volume 1: A brief introduction to multiattribute decision analysis. [explanation of multiattribute decision analysis methods used in evaluating alternatives for small powered systems

NASA Technical Reports Server (NTRS)

Feinberg, A.; Miles, R. F., Jr.

1978-01-01

The principal concepts of the Keeney and Raiffa approach to multiattribute decision analysis are described. Topics discussed include the concepts of decision alternatives, outcomes, objectives, attributes and their states, attribute utility functions, and the necessary independence properties for the attribute states to be aggregated into a numerical representation of the preferences of the decision maker for the outcomes and decision alternatives.

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

PubMed

Weenen, T C; Jentink, A; Pronker, E S; Commandeur, H R; Claassen, E; Boirie, Y; Singer, P

2014-10-01

A quantitative systematic identification and prioritization of unmet needs and research opportunities in relation to enteral nutrition was conducted by means of a tailor-made health research prioritization process. The research objectives were reached by conducting qualitative interviews followed by quantitative questionnaires targeting enteral nutrition key opinion leaders (KOLs). (1) Define disease areas that deserve more research attention; (2) Rank importance of product characteristics of tube feeding (TF) and oral nutritional supplements (ONS); (3) Assess involvement of KOLs in enteral nutrition R&D process. KOLs ranked three product characteristics and three disease areas that deserve additional research attention. From these, overall priority scores were calculated by multiplying ranks for both product characteristics and disease areas. 17 qualitative interviews were conducted and 77 questionnaires (response rate 35%) were completed and returned. (1) Disease areas in ONS and TF with highest priorities are: ONS: general malnutrition & geriatrics, TF: intensive care. (2) TF product characteristics with highest priorities are: composition and clinical evidence from a KOL perspective; tolerance and ease of use from a patient perspective. ONS product characteristics with highest priorities are: composition, clinical evidence and taste from a KOL perspective; taste from a patient perspective. We find a high discrepancy between product characteristic prioritization from a KOL and patient perspective. (3) Although 62% of all KOLs give advice to enteral nutrition companies on patient needs, they under-influence the setting of research priorities by enteral nutrition companies. This study provides a systematic approach to achieve research prioritization in enteral nutrition. In addition to providing new directions for enteral nutrition research and development, this study highlights the relevance of involving KOLs in the identification of research priorities as they have the ability to provide a balanced view of the unmet patient needs. Copyright © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

Prognosis Related to Metastatic Burden Measured by 18F-Fluorocholine PET/CT in Castrate Resistant Prostate Cancer

PubMed Central

Kwee, Sandi A.; Lim, John; Watanabe, Alex; Kromer-Baker, Kathleen; Coel, Marc N.

2015-01-01

This study investigates the prognostic significance of metabolically active tumor volume (MATV) measurements applied to fluorine-18 fluorocholine (FC) PET/CT in castrate-resistant prostate cancer (CRPC). Methods FC PET/CT imaging was performed in 30 patients with CRPC. Metastatic disease was quantified on the basis of maximum standardized uptake value (SUVmax), MATV, and total lesion activity (TLA = MATV × mean SUV). Tumor burden indices derived from whole-body summation of PET tumor volume measurements (ie. net MATV and net TLA) were evaluated as variables in Cox regression and Kaplan-Meier survival analyses. Results Net MATV ranged from 0.12 cm3 to 1543.9 cm3 (median 52.6 cm3). Net TLA ranged from 0.40g to 6688.7g (median 225.1g). PSA level at the time of PET correlated significantly with net MATV (Pearson r = 0.65, p = 0.0001) and net TLA (r = 0.60, p = 0.0005) but not highest lesional SUVmax of each scan. Survivors were followed for a median 23 months (range 6 – 38 months). On Cox regression analyses, overall survival was significantly associated with net MATV (p = 0.0068), net TLA (p = 0.0072), and highest lesion SUVmax (p = 0.0173), and borderline associated with PSA level (p = 0.0458). Only net MATV and net TLA remained significant in univariate-adjusted survival analyses. Kaplan-Meier analysis demonstrated significant differences in survival between groups stratified by median net MATV (log-rank P = 0.0371), net TLA (log-rank P = 0.0371), and highest lesion SUVmax (log-rank P = 0.0223). Conclusions Metastatic prostate cancer detected by FC PET/CT can be quantified based on volumetric measurements of tumor metabolic activity. The prognostic value of FC PET/CT may stem from this capacity to assess whole-body tumor burden. With further clinical validation, FC PET-based indices of global disease activity and mortality risk could prove useful in patient-individualized treatment of CRPC. PMID:24676753

Integrating forest ecosystem services into the farming landscape: A stochastic economic assessment.

PubMed

Monge, Juan J; Parker, Warren J; Richardson, James W

2016-06-01

The objective of this study was to assess how payments for ecosystem services could assist plantation forestry's integration into pastoral dairy farming in order to improve environmental outcomes and increase business resilience to both price uncertainty and production limits imposed by environmental policies. Stochastic Dominance (SD) criteria and portfolio analysis, accounting for farmers' risk aversion levels, were used to rank different land-use alternatives and landscapes with different levels of plantation forestry integration. The study was focused on a modal 200-ha dairy farm in the Lake Rotorua Catchment of the Central North Island region of New Zealand, where national environmental policies are being implemented to improve water quality and reduce greenhouse gas emissions. Nitrogen and carbon payments would help farmers improve early cash flows for forestry, provide financial leverage to undertake afforestation projects and contribute to improved environmental outcomes for the catchment. The SD criteria demonstrated that although dairy farming generates the highest returns, plantation forestry with nitrogen and carbon payments would be a preferred alternative for landowners with relatively low risk aversion levels who consider return volatility and environmental limits within their land-use change criteria. Using the confidence premium concept, environmental payments to encourage plantation forestry into the landscape were shown to be lower when the majority of landowners are risk averse. The certainty equivalence approach helped to identify the optimal dairy-forestry portfolio arrangements for landowners of different levels of risk aversion, intensities of dairy farming (status quo and intensified) and nitrogen prices. At low nitrogen prices, risk neutral farmers would choose to afforest less than half of the farm and operate at the maximum nitrogen allowance, because dairy farming at both intensities provides the highest return among the different land uses available. However, at relatively low risk aversion levels, farmers would operate at levels below the maximum nitrogen allowance by including plantation forestry to a greater extent, compared to risk neutral farmers, due to its more certain returns. At a high nitrogen price of $400/kg, plantation forestry would completely subsume dairying, across risk aversion and intensity levels. These results confirm that plantation forestry as well as being an environmentally sound land-use alternative, also reduces uncertainty for landowners that are exposed to volatile international markets for dairy commodities. Copyright © 2016 Elsevier Ltd. All rights reserved.

Expert Opinion Is Necessary: Delphi Panel Methodology Facilitates a Scientific Approach to Consensus.

PubMed

Hohmann, Erik; Brand, Jefferson C; Rossi, Michael J; Lubowitz, James H

2018-02-01

Our current trend and focus on evidence-based medicine is biased in favor of randomized controlled trials, which are ranked highest in the hierarchy of evidence while devaluing expert opinion, which is ranked lowest in the hierarchy. However, randomized controlled trials have weaknesses as well as strengths, and no research method is flawless. Moreover, stringent application of scientific research techniques, such as the Delphi Panel methodology, allows survey of experts in a high quality and scientific manner. Level V evidence (expert opinion) remains a necessary component in the armamentarium used to determine the answer to a clinical question. Copyright © 2017 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Brief Report: Character Strengths in Adults with Autism Spectrum Disorder Without Intellectual Impairment.

PubMed

Kirchner, Jennifer; Ruch, Willibald; Dziobek, Isabel

2016-10-01

In the current study, we assessed character strengths in individuals with autism spectrum disorder (ASD, n = 32) and neurotypical controls (n = 32) using the Values in Action Inventory (VIA-IS, Peterson and Seligman 2004) and explored associations with levels of satisfaction with life (SWL). The most frequently endorsed signature strengths (i.e., five top-ranked strengths within an individual's strength ranking) were emotional (humour, love) and interpersonal strengths (kindness, fairness) in the control group, the most frequently endorsed signature strengths in the ASD group were intellectual strengths (open-mindedness, creativity, love of learning). Interpersonal and emotional strengths had, however, the highest positive associations with SWL in the ASD group.

Isotopically exchangeable organic hydrogen in coal relates to thermal maturity and maceral composition

USGS Publications Warehouse

Mastalerz, Maria; Schimmelmann, A.

2002-01-01

Hydrogen isotopic exchangeability (Hex) and ??Dn values of non-exchangeable organic hydrogen were investigated in coal kerogens ranging in rank from lignite to graphite. The relative abundance of Hex is highest in lignite with about 18% of total hydrogen being exchangeable, and decreases to around 2.5% in coals with Ro of 1.7 to ca. 5.7%. At Still higher rank (Ro > 6%), Hex increases slightly, although the abundance of total hydrogen decreases. ??Dn is influenced by original biochemical D/H ratios and by thermal maturation in contact with water. Therefore, ??Dn does not show an overall consistent trend with maturity. ?? 2002 Elsevier Science Ltd. All rights reserved.

Surface acoustical intensity measurements on a diesel engine

NASA Technical Reports Server (NTRS)

Mcgary, M. C.; Crocker, M. J.

1980-01-01

The use of surface intensity measurements as an alternative to the conventional selective wrapping technique of noise source identification and ranking on diesel engines was investigated. A six cylinder, in line turbocharged, 350 horsepower diesel engine was used. Sound power was measured under anechoic conditions for eight separate parts of the engine at steady state operating conditions using the conventional technique. Sound power measurements were repeated on five separate parts of the engine using the surface intensity at the same steady state operating conditions. The results were compared by plotting sound power level against frequency and noise source rankings for the two methods.

Competencies for first year residents - physicians' views from medical schools with different undergraduate curricula.

PubMed

Fürstenberg, Sophie; Schick, Kristina; Deppermann, Jana; Prediger, Sarah; Berberat, Pascal O; Kadmon, Martina; Harendza, Sigrid

2017-09-07

Frameworks like the CanMEDS model depicting professional roles and specific professional activities provide guidelines for postgraduate education. When medical graduates start their residency, they should possess certain competencies related to communication, management and professionalism while other competencies will be refined during postgraduate training. Our study aimed to evaluate the relevance of different competencies for a first year resident required for entrustment decision from the perspective of physicians from medical faculties with different undergraduate medical curricula. Nine hundred fifty-two surgeons and internists from three medical schools with different undergraduate medical curricula were invited to rank 25 competencies according to their relevance for first year residents. The rankings were compared between universities, specialties, physicians' positions, and gender. Two hundred two physicians participated, 76 from Hamburg University, 44 from Oldenburg University, and 82 from Technical University Munich. No significant differences were found regarding the top 10 competencies relevant for first year residents between the universities. 'Responsibility' was the competency with the highest rank overall. Internists ranked 'Structure, work planning and priorities' higher while surgeons ranked 'Verbal communication with colleagues and supervisors' higher. Consultants evaluated 'Active listening to patients' more important than department directors and residents. Female physicians ranked 'Verbal communication with colleagues and supervisors' and 'Structure, work planning and priorities' significantly higher while male physicians ranked 'Scientifically and empirically grounded method of working' significantly higher. Physicians from universities with different undergraduate curricula principally agreed on the competencies relevant for first year residents. Some differences between physicians from different positions, specialties, and gender were found. These differences should be taken into account when planning competence-based postgraduate education training programs.

Primary-Care Weight-Management Strategies: Parental Priorities and Preferences.

PubMed

Turer, Christy Boling; Upperman, Carla; Merchant, Zahra; Montaño, Sergio; Flores, Glenn

2016-04-01

To examine parental perspectives/rankings of the most important weight-management clinical practices and to determine whether preferences/rankings differ when parents disagree that their child is overweight. We performed mixed-methods analysis of a 32-question survey of parents of 2- to 18-year-old overweight children assessing parental agreement that their child is overweight, the single most important thing providers can do to improve weight status, ranking American Academy of Pediatrics-recommended clinical practices, and preferred follow-up interval. Four independent reviewers analyzed open-response data to identify qualitative themes/subthemes. Multivariable analyses examined parental rankings, preferred follow-up interval, and differences by agreement with their child's overweight assessment. Thirty-six percent of 219 children were overweight, 42% obese, and 22% severely obese; 16% of parents disagreed with their child's overweight assessment. Qualitative analysis of the most important practice to help overweight children yielded 10 themes; unique to parents disagreeing with their children's overweight assessments was "change weight-status assessments." After adjustment, the 3 highest-ranked clinical practices included, "check for weight-related problems," "review growth chart," and "recommend general dietary changes" (all P < .01); parents disagreeing with their children's overweight assessments ranked "review growth chart" as less important and ranked "reducing screen time" and "general activity changes" as more important. The mean preferred weight-management follow-up interval (10-12 weeks) did not differ by agreement with children's overweight assessments. Parents prefer weight-management strategies that prioritize evaluating weight-related problems, growth-chart review, and regular follow-up. Parents who disagree that their child is overweight want changes in how overweight is assessed. Using parent-preferred weight-management strategies may prove useful in improving child weight status. Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Academic Surgical Oncologists' Productivity Correlates with Gender, Grant Funding, and Institutional NCI Comprehensive Cancer Center Affiliation.

PubMed

Nguyen, Vi; Marmor, Rebecca A; Ramamoorthy, Sonia L; Blair, Sarah L; Clary, Bryan M; Sicklick, Jason K

2018-07-01

A scholar's h-index is defined as the number of h papers published, each of which has been cited at least h times. We hypothesized that the h-index strongly correlates with the academic rank of surgical oncologists. We utilized the National Cancer Institute (NCI) website to identify NCI-designated Comprehensive Cancer Centers (CCC) and Doximity to identify the 50 highest-ranked general surgery residency programs with surgical oncology divisions. Demographic data of respective academic surgical oncologists were collected from departmental websites and Grantome. Bibliometric data were obtained from Web of Science. We identified 544 surgical oncologists from 64 programs. Increased h-index was associated with academic rank (p < 0.001), male gender (p < 0.001), number of National Institutes of Health (NIH) grants (p < 0.001), and affiliation with an NCI CCC (p = 0.018) but not number of additional degrees (p = 0.661) or Doximity ranking (p = 0.102). H-index was a stronger predictor of academic rank (r = 0.648) than total publications (r = 0.585) or citations (r = 0.450). This is the first report to assess the h-index within academic surgical oncology. H-index is a bibliometric predictor of academic rank that correlates with NIH grant funding and NCI CCC affiliation. We also highlight a previously unexpected and unappreciated gender disparity in the academic productivity of US surgical oncologists. When academic rank was accounted for, female surgical oncologists had lower h-indices compared with their male colleagues. Evaluation of the etiologies of this gender disparity is needed to address barriers to academic productivity faced by female surgical oncologists as they progress through their careers.

Low rank alternating direction method of multipliers reconstruction for MR fingerprinting.

PubMed

Assländer, Jakob; Cloos, Martijn A; Knoll, Florian; Sodickson, Daniel K; Hennig, Jürgen; Lattanzi, Riccardo

2018-01-01

The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for magnetic resonance fingerprinting. Based on a singular value decomposition of the signal evolution, magnetic resonance fingerprinting is formulated as a low rank (LR) inverse problem in which one image is reconstructed for each singular value under consideration. This LR approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the LR approximation improves the conditioning of the problem, which is further improved by extending the LR inverse problem to an augmented Lagrangian that is solved by the alternating direction method of multipliers. The root mean square error and the noise propagation are analyzed in simulations. For verification, in vivo examples are provided. The proposed LR alternating direction method of multipliers approach shows a reduced root mean square error compared to the original fingerprinting reconstruction, to a LR approximation alone and to an alternating direction method of multipliers approach without a LR approximation. Incorporating sensitivity encoding allows for further artifact reduction. The proposed reconstruction provides robust convergence, reduced computational burden and improved image quality compared to other magnetic resonance fingerprinting reconstruction approaches evaluated in this study. Magn Reson Med 79:83-96, 2018. © 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Evaluation and ranking of candidate ceramic wafer engine seal materials

NASA Technical Reports Server (NTRS)

Steinetz, Bruce M.

1991-01-01

Modern engineered ceramics offer high temperature capabilities not found in even the best superalloy metals. The high temperature properties of several selected ceramics including aluminum oxide, silicon carbide, and silicon nitride are reviewed as they apply to hypersonic engine seal design. A ranking procedure is employed to objectively differentiate among four different monolithic ceramic materials considered, including: a cold-pressed and sintered aluminum oxide; a sintered alpha-phase silicon carbide; a hot-isostatically pressed silicon nitride; and a cold-pressed and sintered silicon nitride. This procedure is used to narrow the wide range of potential ceramics considered to an acceptable number for future detailed and costly analyses and tests. The materials are numerically scored according to their high temperature flexural strength; high temperature thermal conductivity; resistance to crack growth; resistance to high heating rates; fracture toughness; Weibull modulus; and finally according to their resistance to leakage flow, where materials having coefficients of thermal expansion closely matching the engine panel material resist leakage flow best. The cold-pressed and sintered material (Kyocera SN-251) ranked the highest in the overall ranking especially when implemented in engine panels made of low expansion rate materials being considered for the engine, including Incoloy and titanium alloys.

Using lean Six Sigma to improve hospital based outpatient imaging satisfaction.

PubMed

McDonald, Angelic P; Kirk, Randy

2013-01-01

Within the hospital based imaging department at Methodist Willowbrook, outpatient, inpatient, and emergency patients are all performed on the same equipment with the same staff. The critical nature of the patient is the deciding factor as to who gets done first and in what order procedures are performed. After an aggressive adoption of Intentional Tools, the imaging department was finally able to move from a two year mean Press Ganey, outpatient satisfaction average score of 91.2 and UHC percentile ranking of 37th to a mean average of 92.1 and corresponding UHC ranking of 60th percentile. It was at the 60th percentile ranking that the department flat lined. Using the Six Sigma DMAIC process, opportunity for further improvement was identified. A two week focus pilot was conducted specifically on areas identified through the Six Sigma process. The department was able to jump to 88th percentile ranking and a mean of 93.7. With pay for performance focusing on outpatient satisfaction and a financial incentive to improving and maintaining the highest scores, it was important to know where the imaging department should apply its financial resources to obtain the greatest impact.

Patient Preferences and Urologist Judgments on Prostate Cancer Therapy in Japan.

PubMed

Nakayama, Masahiko; Kobayashi, Hisanori; Okazaki, Masateru; Imanaka, Keiichiro; Yoshizawa, Kazutake; Mahlich, Jörg

2018-05-01

The purpose of the present study is to investigate the concordance of treatment preferences between patients and physicians in prostate cancer (PCa) in Japan. An internet-based discrete choice experiment was conducted. Patients and physicians were asked to select their preferred treatment from a pair of hypothetical treatments consisting of four attributes: quality of life (QOL), treatment effectiveness, side effects, and accessibility of treatment. The data were analyzed using a conditional logistic regression model to calculate coefficients and the relative importance (RI) of each attribute. A total of 103 PCa patients and 127 physicians responded. The study looked at 37 patients considered as advanced PCa and 66 who were non-advanced PCa. All of the physicians were urologists. Advanced PCa patients ranked the attributes as follows: treatment effectiveness (RI: 32%), accessibility of treatment (RI: 26%), QOL (RI: 23%), and side effects (RI: 19%). For physicians, the RI ranking was the same as for advanced PCa patients; treatment effectiveness (RI: 29%), accessibility of treatment (RI: 27%), QOL (RI: 26%), and side effects (RI: 18%). For non-advanced PCa patients, accessibility of treatment ranked the highest RI (27%) and treatment effectiveness ranked as the lowest RI (14%). Our study suggests that the ranking of the attributes was consistent between advanced PCa patients and physicians. The most influential attribute was treatment effectiveness. Treatment preferences also vary by disease stage.

Local Functional Connectivity as a Pre-Surgical Tool for Seizure Focus Identification in Non-Lesion, Focal Epilepsy

PubMed Central

Weaver, K. E.; Chaovalitwongse, W. A.; Novotny, E. J.; Poliakov, A.; Grabowski, T. G.; Ojemann, J. G.

2013-01-01

Successful resection of cortical tissue engendering seizure activity is efficacious for the treatment of refractory, focal epilepsy. The pre-operative localization of the seizure focus is therefore critical to yielding positive, post-operative outcomes. In a small proportion of focal epilepsy patients presenting with normal MRI, identification of the seizure focus is significantly more challenging. We examined the capacity of resting state functional MRI (rsfMRI) to identify the seizure focus in a group of four non-lesion, focal (NLF) epilepsy individuals. We predicted that computing patterns of local functional connectivity in and around the epileptogenic zone combined with a specific reference to the corresponding region within the contralateral hemisphere would reliably predict the location of the seizure focus. We first averaged voxel-wise regional homogeneity (ReHo) across regions of interest (ROIs) from a standardized, probabilistic atlas for each NLF subject as well as 16 age- and gender-matched controls. To examine contralateral effects, we computed a ratio of the mean pair-wise correlations of all voxels within a ROI with the corresponding contralateral region (IntraRegional Connectivity – IRC). For each subject, ROIs were ranked (from lowest to highest) on ReHo, IRC, and the mean of the two values. At the group level, we observed a significant decrease in the rank for ROI harboring the seizure focus for the ReHo rankings as well as for the mean rank. At the individual level, the seizure focus ReHo rank was within bottom 10% lowest ranked ROIs for all four NLF epilepsy patients and three out of the four for the IRC rankings. However, when the two ranks were combined (averaging across ReHo and IRC ranks and scalars), the seizure focus ROI was either the lowest or second lowest ranked ROI for three out of the four epilepsy subjects. This suggests that rsfMRI may serve as an adjunct pre-surgical tool, facilitating the identification of the seizure focus in focal epilepsy. PMID:23641233

Preference test of sound among multiple alternatives in rats.

PubMed

Soga, Ryo; Shiramatsu, Tomoyo Isoguchi; Takahashi, Hirokazu

2018-01-01

Conditioned place preference (CPP) tests in rodents have been well established to measure preference induced by secondary reinforcing properties, but conventional assays are not sensitive enough to measure innate, weak preference, or the primary reinforcing property of a conditioned stimulus. We designed a novel CPP assay with better sensitivity and efficiency in quantifying and ranking preference of particular sounds among multiple alternatives. Each test tone was presented according to the location of free-moving rats in the arena, where assignment of location to each tone changed in every 20-s session. We demonstrated that our assay was able to rank tone preference among 4 alternatives within 12.5 min (125 s (habituation) + 25 s/sessions × 25 sessions). In order to measure and rank sound preference, we attempted to use sojourn times with each test sound ([Formula: see text]), and a preference index (PI) based on transition matrices of initial and end sounds in every session. Both [Formula: see text] and PI revealed similar trends of innate preference in which rats preferred test conditions in the following order: silence, 40-, 20-, then 10-kHz tones. Further, rats exhibited a change in preference after an classical conditioning of the 20-kHz tone with a rewarding microstimulation of the dopaminergic system. We also demonstrated that PI was a more robust and sensitive indicator than [Formula: see text] when the locomotion activity level of rats became low due to habituation to the assay repeated over sessions. Thus, our assay offers a novel method of evaluating auditory preference that is superior to conventional CPP assays, offering promising prospects in the field of sensory neuroscience.

Identification of Institutional Genderedness through Organizational Operations: An Analysis of Community College Working Environments

ERIC Educational Resources Information Center

Jones, Stephanie J.; Warnick, Erika M.; Taylor, Colette M.

2015-01-01

Though the number of women employed in the workforce has increased, there continues to be an inequity in employment of women in the highest ranks of community colleges. Guided by gendered organizational theory, the study looked at both overt and covert knowledge of genderedness at community colleges. As one might infer, institutional genderedness…

"Putting in Your Time": Faculty Experiences in the Process of Promotion to Professor

ERIC Educational Resources Information Center

Gardner, Susan K.; Blackstone, Amy

2013-01-01

The rank of professor or "full" professor represents the highest status possible for faculty members, and it is generally gained by attaining professional expertise and a national or international reputation. Beyond this, however, little is known about these individuals or the promotion process at this level. In this qualitative study of…

Perceptions of Harmful Female Advertising Stereotypes and Eating-Disordered Thinking among Female College Students: A Q Method Analysis.

ERIC Educational Resources Information Center

Gustafson, Robert L.; Thomsen, Steven R.; Popovich, Mark N.

A study employed Q methodology, personal interviews, and a self-administered questionnaire to explore how female college students, a population segment with one of the highest incidences of anorexia nervosa and other eating disorders, rank magazine advertisements that feature a variety of potentially harmful female stereotypes. Specifically, the…

78 FR 16465 - Energy and Environment Trade Mission to Malaysia, Thailand and the Philippines

Federal Register 2010, 2011, 2012, 2013, 2014

2013-03-15

... experienced problems with the discharge of untreated sewage, particularly along the west coast. Malaysia's water pollution problem also extends to its rivers, of which 40 percent are polluted. The nation has 580... sources is still a problem. In the mid-1990s, Malaysia ranked among 50 nations with the world's highest...

Paternalism, Obesity, and Tolerable Levels of Risk

ERIC Educational Resources Information Center

Merry, Michael S.

2012-01-01

Obesity describes an abnormally high fat accumulation that impairs health. It is crudely measured by a body mass index (BMI) of greater than 30 kg/sq meters. Obesity now ranks among the highest of concerns by the World Health Organization (WHO) and not only in countries of affluence; the figures of obesity worldwide have doubled since 1980 and the…

Metacognition in the Classroom: Motivation and Self-Awareness of Mathematics Learners

ERIC Educational Resources Information Center

Karaali, Gizem

2015-01-01

Metacognition as a dimension of learning ranks highest in the revised Bloom's Taxonomy of cognitive tasks. In this paper we illustrate how it can be incorporated into a repeated exercise in the mathematics classroom, through a specific case study in the context of a liberal arts mathematics course. Through the semester, students were asked weekly…

Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking.

PubMed

Yu, Jun; Yang, Xiaokang; Gao, Fei; Tao, Dacheng

2017-12-01

How do we retrieve images accurately? Also, how do we rank a group of images precisely and efficiently for specific queries? These problems are critical for researchers and engineers to generate a novel image searching engine. First, it is important to obtain an appropriate description that effectively represent the images. In this paper, multimodal features are considered for describing images. The images unique properties are reflected by visual features, which are correlated to each other. However, semantic gaps always exist between images visual features and semantics. Therefore, we utilize click feature to reduce the semantic gap. The second key issue is learning an appropriate distance metric to combine these multimodal features. This paper develops a novel deep multimodal distance metric learning (Deep-MDML) method. A structured ranking model is adopted to utilize both visual and click features in distance metric learning (DML). Specifically, images and their related ranking results are first collected to form the training set. Multimodal features, including click and visual features, are collected with these images. Next, a group of autoencoders is applied to obtain initially a distance metric in different visual spaces, and an MDML method is used to assign optimal weights for different modalities. Next, we conduct alternating optimization to train the ranking model, which is used for the ranking of new queries with click features. Compared with existing image ranking methods, the proposed method adopts a new ranking model to use multimodal features, including click features and visual features in DML. We operated experiments to analyze the proposed Deep-MDML in two benchmark data sets, and the results validate the effects of the method.

Burden of type 2 diabetes mellitus in Brazil.

PubMed

Costa, Amine Farias; Flor, Luísa Sorio; Campos, Mônica Rodrigues; Oliveira, Andreia Ferreira de; Costa, Maria de Fátima Dos Santos; Silva, Raulino Sabino da; Lobato, Luiz Cláudio da Paixão; Schramm, Joyce Mendes de Andrade

2017-03-30

Type 2 diabetes mellitus currently ranks high among indicators used in Global Burden of Disease Studies. The current study estimated the burden of disease attributable to type 2 diabetes mellitus and its chronic complications in Brazil, 2008. We calculated disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) stratified by gender, age bracket, and major geographic region. Type 2 diabetes mellitus accounted for 5% of the burden of disease in Brazil, ranking 3rd in women and 6th in men in the composition of DALYs. The largest share of DALYs was concentrated in the 30-59-year age bracket and consisted mainly of YLDs. The highest YLL and YLD rates were in the Northeast and South of Brazil, respectively. Chronic complications represented 80% of YLDs from type 2 diabetes mellitus. Type 2 diabetes mellitus ranked as a leading health problem in Brazil in 2008, accounting for relevant shares of mortality and morbidity.

Prioritizing Environmental Risk of Prescription Pharmaceuticals

PubMed Central

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

2015-01-01

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

A European Competence Framework for Industrial Pharmacy Practice in Biotechnology

PubMed Central

Atkinson, Jeffrey; Crowley, Pat; De Paepe, Kristien; Gennery, Brian; Koster, Andries; Martini, Luigi; Moffat, Vivien; Nicholson, Jane; Pauwels, Gunther; Ronsisvalle, Giuseppe; Sousa, Vitor; van Schravendijk, Chris; Wilson, Keith

2015-01-01

The PHAR-IN (“Competences for industrial pharmacy practice in biotechnology”) looked at whether there is a difference in how industrial employees and academics rank competences for practice in the biotechnological industry. A small expert panel consisting of the authors of this paper produced a biotechnology competence framework by drawing up an initial list of competences then ranking them in importance using a three-stage Delphi process. The framework was next evaluated and validated by a large expert panel of academics (n = 37) and industrial employees (n = 154). Results show that priorities for industrial employees and academics were similar. The competences for biotechnology practice that received the highest scores were mainly in: “Research and Development”,‘“Upstream” and “Downstream” Processing’, “Product development and formulation”,“Aseptic processing”, “Analytical methodology”, “Product stability”, and “Regulation”. The main area of disagreement was in the category “Ethics and drug safety” where academics ranked competences higher than did industrial employees. PMID:28975907

Materials compatibility and aging for flux and cleaner combinations

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

Archuleta, Kim M.; Piatt, Rochelle

2015-01-01

A materials study of high reliability electronics cleaning is presented here. In Phase 1, mixed type substrates underwent a condensed contaminants application to view a worst- case scenario for unremoved flux with cleaning agent residue for parts in a silicone oil filled environment. In Phase 2, fluxes applied to copper coupons and to printed wiring boards underwent gentle cleaning then accelerated aging in air at 65% humidity and 30 O C. Both sets were aged for 4 weeks. Contaminants were no-clean (ORL0), water soluble (ORH1 liquid and ORH0 paste), and rosin (RMA; ROL0) fluxes. Defluxing agents were water, solvents, andmore » engineered aqueous defluxers. In the first phase, coupons had flux applied and heated, then were placed in vials of oil with a small amount of cleaning agent and additional coupons. In the second phase, pairs of copper coupons and PWB were hand soldered by application of each flux, using tin-lead solder in a strip across the coupon or a set of test components on the PWB. One of each pair was cleaned in each cleaning agent, the first with a typical clean, and the second with a brief clean. Ionic contamination residue was measured before accelerated aging. After aging, substrates were removed and a visual record of coupon damage made, from which a subjective rank was applied for comparison between the various flux and defluxer combinations; more corrosion equated to higher rank. The ORH1 water soluble flux resulted in the highest ranking in both phases, the RMA flux the least. For the first phase, in which flux and defluxer remained on coupons, the aqueous defluxers led to worse corrosion. The vapor phase cleaning agents resulted in the highest ranking in the second phase, in which there was no physical cleaning. Further study of cleaning and rinsing parameters will be required.« less

Ethnobotanical assessment of plant resources of Banda Daud Shah, District Karak, Pakistan.

PubMed

Murad, Waheed; Azizullah, Azizullah; Adnan, Muhammad; Tariq, Akash; Khan, Kalim Ullah; Waheed, Saqib; Ahmad, Ashfaq

2013-11-22

The Indigenous knowledge of plants is scientifically and culturally very significant. This paper elucidates the empirical findings of an ethnobotanical survey of Banda Daud Shah, District Karak, Pakistan. Data collection was carried out from October 2011 to September 2012. Total twelve survey trips were made, three in each season. About 100 respondents were interviewed; most of them were aged people between 60-70 years. Interviews were conducted using structured questionnaire composed of variety of questions regarding ethnomedicinal uses of plants of the study area. Direct matrix ranking (DMR), informant citations and market survey of multipurpose plants were also carried out. The local community was using 58 plant species belonging to 52 genera and 34 families for different purposes. A total of 25 plant species were herbs followed by 18 shrubs. Leaf (45%) was the most commonly used plant part followed by the whole plants (23%). In total, 40 plant species were medicinally used to treat variety of diseases, of which highest number of species being used for gastro-intestinal problems (19 spp.), expectorant (3 spp.) and antipyretic (3 spp.). Beside medicinal values, 25 species were used for fuel and 18 for fodder purposes. Informant consensus showed that gastrointestinal and respiratory infections were ranked highest (FIC = 0.75) among all ailments. According to DMR output, Dalbergia sisso ranked first due to high multipurpose uses among all species and was found most threatened with higher market value. The investigated area is rural in nature and the inhabitants are highly dependent on the native plants for their health care needs and other requirements like fuel wood and fodder due to financial constraints and unavailability of resources. Medicinal plants for high ranked diseases may be phtyochemicaly and pharmacologically investigated to prove their efficacy. The local medicinal flora is facing overexploitation, overgrazing and improper way of collection. Proper conservation strategies such as controlled grazing, reforestation and rangeland management among many others may be adopted to promote the sustainable use of medicinal plants.

Efficacy and safety of medical therapy for low bone mineral density in patients with Crohn disease

PubMed Central

Zhao, Xiaojing; Zhou, Changcheng; Chen, Han; Ma, Jingjing; Zhu, Yunjuan; Wang, Peixue; Zhang, Yi; Ma, Haiqin; Zhang, Hongjie

2017-01-01

Abstract Background: Low bone mineral density (BMD) is a frequent complication of inflammatory bowel disease (IBD), particularly in patients with Crohn disease (CD). The aim of our study is to determine the efficacy and safety of different drugs used to treat low BMD in patients with CD. Methods: PUBMED/MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials were searched for eligible studies. A random-effects model within a Bayesian framework was applied to compare treatment effects as standardized mean difference (SMD) with their corresponding 95% credible interval (CrI), while odds ratio (OR) was applied to compare adverse events with 95% CrI. The surface under the cumulative ranking area (SUCRA) was calculated to make the ranking of the treatments for outcomes. Results: Twelve randomized controlled trials (RCTs) were eligible. Compared with placebo, zoledronate (SMDs 2.74, 95% CrI 1.36–4.11) and sodium-fluoride (SMDs 1.23, 95% CrI 0.19–2.26) revealed statistical significance in increasing lumbar spine BMD (LSBMD). According to SUCRA ranking, zoledronate (SUCRA = 2.5%) might have the highest probability to be the best treatment for increasing LSBMD in CD patients among all agents, followed by sodium-fluoride (27%). For safety assessment, the incidence of adverse events (AEs) demonstrated no statistical difference between agents and placebo. The corresponding SUCRA values indicated that risedronate (SUCRA = 77%) might be the most safe medicine for low BMD in CD patients and alendronate ranked the worst (SUCRA = 16%). Conclusions: Zoledronate might have the highest probability to be the best therapeutic strategy for increasing LSBMD. For the safety assessment, risedronate showed the greatest trend to decrease the risk of AEs. In the future, more RCTs with higher qualities are needed to make head-to-head comparison between 2 or more treatments. PMID:28296781

Comparison of recent SnIa datasets

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

Sanchez, J.C. Bueno; Perivolaropoulos, L.; Nesseris, S., E-mail: jbueno@cc.uoi.gr, E-mail: nesseris@nbi.ku.dk, E-mail: leandros@uoi.gr

2009-11-01

We rank the six latest Type Ia supernova (SnIa) datasets (Constitution (C), Union (U), ESSENCE (Davis) (E), Gold06 (G), SNLS 1yr (S) and SDSS-II (D)) in the context of the Chevalier-Polarski-Linder (CPL) parametrization w(a) = w{sub 0}+w{sub 1}(1−a), according to their Figure of Merit (FoM), their consistency with the cosmological constant (ΛCDM), their consistency with standard rulers (Cosmic Microwave Background (CMB) and Baryon Acoustic Oscillations (BAO)) and their mutual consistency. We find a significant improvement of the FoM (defined as the inverse area of the 95.4% parameter contour) with the number of SnIa of these datasets ((C) highest FoM, (U),more » (G), (D), (E), (S) lowest FoM). Standard rulers (CMB+BAO) have a better FoM by about a factor of 3, compared to the highest FoM SnIa dataset (C). We also find that the ranking sequence based on consistency with ΛCDM is identical with the corresponding ranking based on consistency with standard rulers ((S) most consistent, (D), (C), (E), (U), (G) least consistent). The ranking sequence of the datasets however changes when we consider the consistency with an expansion history corresponding to evolving dark energy (w{sub 0},w{sub 1}) = (−1.4,2) crossing the phantom divide line w = −1 (it is practically reversed to (G), (U), (E), (S), (D), (C)). The SALT2 and MLCS2k2 fitters are also compared and some peculiar features of the SDSS-II dataset when standardized with the MLCS2k2 fitter are pointed out. Finally, we construct a statistic to estimate the internal consistency of a collection of SnIa datasets. We find that even though there is good consistency among most samples taken from the above datasets, this consistency decreases significantly when the Gold06 (G) dataset is included in the sample.« less

A Data Envelopment Analysis Approach to Prioritize Renewable Energy Technologies

USDA-ARS?s Scientific Manuscript database

Due to growing financial and environmental concerns, governmental rules, regulations and incentives alternative energy sources will soon grow at a much faster pace than conventional sources of energy. However, the current body of research providing comparative decision making models that either rank...

Empirical and Theoretical Bases of Zipf's Law.

ERIC Educational Resources Information Center

Wyllys, Ronald E.

1981-01-01

Explains Zipf's Law of Vocabulary Distribution (i.e., relationship between frequency of a word in a corpus and its rank), noting the discovery of the law, alternative forms, and literature relating to the search for a rationale for Zipf's Law. Thirty-eight references are cited. (EJS)

Permutation tests for goodness-of-fit testing of mathematical models to experimental data.

PubMed

Fişek, M Hamit; Barlas, Zeynep

2013-03-01

This paper presents statistical procedures for improving the goodness-of-fit testing of theoretical models to data obtained from laboratory experiments. We use an experimental study in the expectation states research tradition which has been carried out in the "standardized experimental situation" associated with the program to illustrate the application of our procedures. We briefly review the expectation states research program and the fundamentals of resampling statistics as we develop our procedures in the resampling context. The first procedure we develop is a modification of the chi-square test which has been the primary statistical tool for assessing goodness of fit in the EST research program, but has problems associated with its use. We discuss these problems and suggest a procedure to overcome them. The second procedure we present, the "Average Absolute Deviation" test, is a new test and is proposed as an alternative to the chi square test, as being simpler and more informative. The third and fourth procedures are permutation versions of Jonckheere's test for ordered alternatives, and Kendall's tau(b), a rank order correlation coefficient. The fifth procedure is a new rank order goodness-of-fit test, which we call the "Deviation from Ideal Ranking" index, which we believe may be more useful than other rank order tests for assessing goodness-of-fit of models to experimental data. The application of these procedures to the sample data is illustrated in detail. We then present another laboratory study from an experimental paradigm different from the expectation states paradigm - the "network exchange" paradigm, and describe how our procedures may be applied to this data set. Copyright © 2012 Elsevier Inc. All rights reserved.

An integrated approach for the management of demolition waste in Cyprus.

PubMed

Kourmpanis, Basilis; Papadopoulos, Achilleas; Moustakas, Konstantinos; Kourmoussis, Fotis; Stylianou, Marinos; Loizidou, Maria

2008-12-01

This study investigated the generation and management of demolition waste (DW) in Cyprus. A methodology has been developed and applied for the estimation of the quantities of the waste stream under examination, since quantitative primary data were not available. The existing situation relating to the practices applied for the management of DW was investigated and assessed. Furthermore, a multi-criteria analysis method (PROMETHEE II) was developed and applied in order to examine alternative systems that could be implemented for the management of the DW in the country. In particular, nine management systems (scenarios) were examined, evaluated and ranked according to their efficiency using seventeen individual criteria, divided into four groups (social-legislative, environmental, economic and technical). The ranking of the alternative waste management scenarios indicated that the optimum management system for possible implementation in the island included complete selective demolition procedures and transfer of mixed recyclable materials to the recycling centre and non-recyclable material to landfill.

Induction treatments for acute promyelocytic leukemia: a network meta-analysis

PubMed Central

Zhang, Qiaoxia; Lou, Jin; Cai, Yun; Chen, Weihong; Du, Xin

2016-01-01

Background 9 treatments for acute promyelocytic leukemia (APL) have been compared in many randomized controlled trials (RCT). The conclusions have been inconsistent and the purpose of this study is to conduct a network meta-analysis. Results Rankings of event-free survival are ATRA+RIF (81.2%), ATRA+ATO (69.6%), ATO (50.6%). Rankings of complete remission are ATRA+RIF (79.3%), ATRA+ATO (64.8%), RIF (60.3%), ATO (55.9%). Rankings of avoiding differentiation syndromes are CT (84.3%), ATO (80.3%), RIF (71.6%), ATRA+RIF (49%), ATRA+ATO (40.8%). Methods A total of 1,666 patients from 12 RCTs were enrolled. The frequentist method was used. Relative risks with 95% confidence intervals were calculated. We produced a network plot, a contribution plot, and a forest plot predictive intervals. The inconsistency factor, the surface under the cumulative ranking curve and the publication bias were evaluated. Conclusions ATRA+ATO is eligible to be the first-line treatment for APL. ATRA+RIF is a prospective alternative to the first-line treatment. RIF or ATO should be reconsidered as another option for de novo APL. PMID:27713127

An intertwined method for making low-rank, sum-of-product basis functions that makes it possible to compute vibrational spectra of molecules with more than 10 atoms

PubMed Central

Thomas, Phillip S.

2017-01-01

We propose a method for solving the vibrational Schrödinger equation with which one can compute spectra for molecules with more than ten atoms. It uses sum-of-product (SOP) basis functions stored in a canonical polyadic tensor format and generated by evaluating matrix-vector products. By doing a sequence of partial optimizations, in each of which the factors in a SOP basis function for a single coordinate are optimized, the rank of the basis functions is reduced as matrix-vector products are computed. This is better than using an alternating least squares method to reduce the rank, as is done in the reduced-rank block power method. Partial optimization is better because it speeds up the calculation by about an order of magnitude and allows one to significantly reduce the memory cost. We demonstrate the effectiveness of the new method by computing vibrational spectra of two molecules, ethylene oxide (C2H4O) and cyclopentadiene (C5H6), with 7 and 11 atoms, respectively. PMID:28571348

An intertwined method for making low-rank, sum-of-product basis functions that makes it possible to compute vibrational spectra of molecules with more than 10 atoms.

PubMed

Thomas, Phillip S; Carrington, Tucker

2017-05-28

We propose a method for solving the vibrational Schrödinger equation with which one can compute spectra for molecules with more than ten atoms. It uses sum-of-product (SOP) basis functions stored in a canonical polyadic tensor format and generated by evaluating matrix-vector products. By doing a sequence of partial optimizations, in each of which the factors in a SOP basis function for a single coordinate are optimized, the rank of the basis functions is reduced as matrix-vector products are computed. This is better than using an alternating least squares method to reduce the rank, as is done in the reduced-rank block power method. Partial optimization is better because it speeds up the calculation by about an order of magnitude and allows one to significantly reduce the memory cost. We demonstrate the effectiveness of the new method by computing vibrational spectra of two molecules, ethylene oxide (C 2 H 4 O) and cyclopentadiene (C 5 H 6 ), with 7 and 11 atoms, respectively.

Active subspace: toward scalable low-rank learning.

PubMed

Liu, Guangcan; Yan, Shuicheng

2012-12-01

We address the scalability issues in low-rank matrix learning problems. Usually these problems resort to solving nuclear norm regularized optimization problems (NNROPs), which often suffer from high computational complexities if based on existing solvers, especially in large-scale settings. Based on the fact that the optimal solution matrix to an NNROP is often low rank, we revisit the classic mechanism of low-rank matrix factorization, based on which we present an active subspace algorithm for efficiently solving NNROPs by transforming large-scale NNROPs into small-scale problems. The transformation is achieved by factorizing the large solution matrix into the product of a small orthonormal matrix (active subspace) and another small matrix. Although such a transformation generally leads to nonconvex problems, we show that a suboptimal solution can be found by the augmented Lagrange alternating direction method. For the robust PCA (RPCA) (Candès, Li, Ma, & Wright, 2009 ) problem, a typical example of NNROPs, theoretical results verify the suboptimality of the solution produced by our algorithm. For the general NNROPs, we empirically show that our algorithm significantly reduces the computational complexity without loss of optimality.

Regional differences in gender promotion and scholarly productivity in otolaryngology.

PubMed

Eloy, Jean Anderson; Mady, Leila J; Svider, Peter F; Mauro, Kevin M; Kalyoussef, Evelyne; Setzen, Michael; Baredes, Soly; Chandrasekhar, Sujana S

2014-03-01

To identify whether regional differences exist in gender disparities in scholarly productivity and faculty rank among academic otolaryngologists. Academic otolaryngologists' bibliometric data analyses. Online faculty listings from 98 otolaryngology departments were organized by gender, academic rank, fellowship training status, and institutional location. The Scopus database was used to assess bibliometrics of these otolaryngologists, including the h-index, number of publications, and publication experience. Analysis included 1127 otolaryngologists, 916 men (81.3%) and 211 women (18.7%). Female faculty comprised 15.4% in the Midwest, 18.8% in the Northeast, 21.3% in the South, and 19.0% in the West (P = .44). Overall, men obtained significantly higher senior academic ranks (associate professor or professor) compared to women (59.8% vs. 40.2%, P < .0001). Regional gender differences in senior faculty were found in the South (59.8% men vs. 37.3% women, P = .0003) and Northeast (56.4% men vs. 24.1% women, P < .0001) with concomitant gender differences in scholarly impact, as measured by the h-index (South, P = .0003; Northeast, P = .0001). Among geographic subdivisions, female representation at senior ranks was lowest in the Mid-Atlantic (22.0%), New England (30.8%), and West South Central (33.3%), while highest in Pacific (60.0%) and Mountain (71.4%) regions. No regional gender differences were found in fellowship training patterns (P-values > .05). Gender disparities in academic rank and scholarly productivity exist most notably in the Northeast, where women in otolaryngology are most underrepresented relative to men at senior academic ranks and in scholarly productivity.

Seeking Health Information Online: Does Wikipedia Matter?

PubMed Central

Laurent, Michaël R.; Vickers, Tim J.

2009-01-01

Objective To determine the significance of the English Wikipedia as a source of online health information. Design The authors measured Wikipedia's ranking on general Internet search engines by entering keywords from MedlinePlus, NHS Direct Online, and the National Organization of Rare Diseases as queries into search engine optimization software. We assessed whether article quality influenced this ranking. The authors tested whether traffic to Wikipedia coincided with epidemiological trends and news of emerging health concerns, and how it compares to MedlinePlus. Measurements Cumulative incidence and average position of Wikipedia® compared to other Web sites among the first 20 results on general Internet search engines (Google®, Google UK®, Yahoo®, and MSN®), and page view statistics for selected Wikipedia articles and MedlinePlus pages. Results Wikipedia ranked among the first ten results in 71–85% of search engines and keywords tested. Wikipedia surpassed MedlinePlus and NHS Direct Online (except for queries from the latter on Google UK), and ranked higher with quality articles. Wikipedia ranked highest for rare diseases, although its incidence in several categories decreased. Page views increased parallel to the occurrence of 20 seasonal disorders and news of three emerging health concerns. Wikipedia articles were viewed more often than MedlinePlus Topic (p = 0.001) but for MedlinePlus Encyclopedia pages, the trend was not significant (p = 0.07–0.10). Conclusions Based on its search engine ranking and page view statistics, the English Wikipedia is a prominent source of online health information compared to the other online health information providers studied. PMID:19390105

Associations among habitat characteristics and meningeal worm prevalence in eastern South Dakota, USA

USGS Publications Warehouse

Jacques, Christopher N.; Jenks, Jonathan A.; Klaver, Robert W.; Dubay, Shelli A.

2017-01-01

Few studies have evaluated how wetland and forest characteristics influence the prevalence of meningeal worm (Parelaphostrongylus tenuis) infection of deer throughout the grassland biome of central North America. We used previously collected, county-level prevalence data to evaluate associations between habitat characteristics and probability of meningeal worm infection in white-tailed deer (Odocoileus virginianus) across eastern South Dakota, US. The highest-ranked binomial regression model for detecting probability of meningeal worm infection was spring temperature + summer precipitation + percent wetland; weight of evidence (wi=0.71) favored this model over alternative models, though predictive capability was low (Receiver operating characteristic=0.62). Probability of meningeal worm infection increased by 1.3- and 1.6-fold for each 1-cm and 1-C increase in summer precipitation and spring temperature, respectively. Similarly, probability of infection increased 1.2-fold for each 1% increase in wetland habitat. Our findings highlight the importance of wetland habitat in predicting meningeal worm infection across eastern South Dakota. Future research is warranted to evaluate the relationships between climatic conditions (e.g., drought, wet cycles) and deer habitat selection in maintaining P. tenuis along the western boundary of the parasite.

Accelerated High-Dimensional MR Imaging with Sparse Sampling Using Low-Rank Tensors

PubMed Central

He, Jingfei; Liu, Qiegen; Christodoulou, Anthony G.; Ma, Chao; Lam, Fan

2017-01-01

High-dimensional MR imaging often requires long data acquisition time, thereby limiting its practical applications. This paper presents a low-rank tensor based method for accelerated high-dimensional MR imaging using sparse sampling. This method represents high-dimensional images as low-rank tensors (or partially separable functions) and uses this mathematical structure for sparse sampling of the data space and for image reconstruction from highly undersampled data. More specifically, the proposed method acquires two datasets with complementary sampling patterns, one for subspace estimation and the other for image reconstruction; image reconstruction from highly undersampled data is accomplished by fitting the measured data with a sparsity constraint on the core tensor and a group sparsity constraint on the spatial coefficients jointly using the alternating direction method of multipliers. The usefulness of the proposed method is demonstrated in MRI applications; it may also have applications beyond MRI. PMID:27093543

Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining.

PubMed

Cheng, Wenlong; Zhao, Mingbo; Xiong, Naixue; Chui, Kwok Tai

2017-07-15

Parsimony, including sparsity and low-rank, has shown great importance for data mining in social networks, particularly in tasks such as segmentation and recognition. Traditionally, such modeling approaches rely on an iterative algorithm that minimizes an objective function with convex l ₁-norm or nuclear norm constraints. However, the obtained results by convex optimization are usually suboptimal to solutions of original sparse or low-rank problems. In this paper, a novel robust subspace segmentation algorithm has been proposed by integrating l p -norm and Schatten p -norm constraints. Our so-obtained affinity graph can better capture local geometrical structure and the global information of the data. As a consequence, our algorithm is more generative, discriminative and robust. An efficient linearized alternating direction method is derived to realize our model. Extensive segmentation experiments are conducted on public datasets. The proposed algorithm is revealed to be more effective and robust compared to five existing algorithms.

Estimating relative demand for wildlife: Conservation activity indicators

NASA Astrophysics Data System (ADS)

Gray, Gary G.; Larson, Joseph S.

1982-09-01

An alternative method of estimating relative demand among nonconsumptive uses of wildlife and among wildlife species is proposed. A demand intensity score (DIS), derived from the relative extent of an individual's involvement in outdoor recreation and conservation activities, is used as a weighting device to adjust the importance of preference rankings for wildlife uses and wildlife species relative to other members of a survey population. These adjusted preference rankings were considered to reflect relative demand levels (RDLs) for wildlife uses and for species by the survey population. This technique may be useful where it is not possible or desirable to estimate demand using traditional economic means. In one of the findings from a survey of municipal conservation commission members in Massachusetts, presented as an illustration of this methodology, poisonous snakes were ranked third in preference among five groups of reptiles. The relative demand level for poisonous snakes, however, was last among the five groups.

Information disclosure in clinical informed consent: “reasonable” patient’s perception of norm in high-context communication culture

PubMed Central

2014-01-01

Background The current doctrine of informed consent for clinical care has been developed in cultures characterized by low-context communication and monitoring-style coping. There are scarce empirical data on patients’ norm perception of information disclosure in other cultures. Methods We surveyed 470 adults who were planning to undergo or had recently undergone a written informed consent-requiring procedure in a tertiary healthcare hospital in Saudi Arabia. Perceptions of norm and current practice were explored using a 5-point Likert scale (1 = strongly agree with disclosure) and 30 information items in 7 domains: practitioners’ details, benefits, risks, complications’ management, available alternatives, procedure’s description, and post-procedure’s issues. Results Respondents’ mean (SD) age was 38.4 (12.5); 50.2% were males, 57.2% had ≥ college education, and 37.9% had undergone a procedure. According to norm perception, strongly agree/agree responses ranged from 98.0% (major benefits) to 50.5% (assistant/trainee’s name). Overall, items related to benefits and post-procedure’s issues were ranked better (more agreeable) than items related to risks and available alternatives. Ranking scores were better in post-procedure respondents for 4 (13.3%) items (p < 0.001 to 0.001) and in males for 8 (26.7%) items (p = 0.008 to <0.001). Older age was associated with better ranking scores for 3 (10.0%) items and worse for one (p < 0.001 to 0.006). According to current practice perception, strongly agree/agree responses ranged from 93.3% (disclosure of procedure’s name) to 13.9% (lead practitioner’s training place), ranking scores were worse for all items compared to norm perception (p < 0.001), and post-procedure status, younger age, and lower educational level were associated with better ranking scores for 15 (50.0%), 12 (40.0%), and 4 (13.3%) items, respectively (p < 0.001 to 0.009). Conclusions 1) even in an overall high-context communication culture, extensive and more information than is currently disclosed is perceived as norm, 2) the focus of the desired information is closer to benefits and post-procedure’s issues than risks and available alternatives, 3) male, post-procedure, and older patients are in favor of more information disclosure, 4) male, older, and more educated patients may be particularly dissatisfied with current information disclosure. The focus and extent of information disclosure for clinical informed consent may need to be adjusted if a “reasonable” patient’s standard is to be met. PMID:24406055

Information disclosure in clinical informed consent: "reasonable" patient's perception of norm in high-context communication culture.

PubMed

Hammami, Muhammad M; Al-Jawarneh, Yussuf; Hammami, Muhammad B; Al Qadire, Mohammad

2014-01-10

The current doctrine of informed consent for clinical care has been developed in cultures characterized by low-context communication and monitoring-style coping. There are scarce empirical data on patients' norm perception of information disclosure in other cultures. We surveyed 470 adults who were planning to undergo or had recently undergone a written informed consent-requiring procedure in a tertiary healthcare hospital in Saudi Arabia. Perceptions of norm and current practice were explored using a 5-point Likert scale (1 = strongly agree with disclosure) and 30 information items in 7 domains: practitioners' details, benefits, risks, complications' management, available alternatives, procedure's description, and post-procedure's issues. Respondents' mean (SD) age was 38.4 (12.5); 50.2% were males, 57.2% had ≥ college education, and 37.9% had undergone a procedure. According to norm perception, strongly agree/agree responses ranged from 98.0% (major benefits) to 50.5% (assistant/trainee's name). Overall, items related to benefits and post-procedure's issues were ranked better (more agreeable) than items related to risks and available alternatives. Ranking scores were better in post-procedure respondents for 4 (13.3%) items (p < 0.001 to 0.001) and in males for 8 (26.7%) items (p = 0.008 to <0.001). Older age was associated with better ranking scores for 3 (10.0%) items and worse for one (p < 0.001 to 0.006). According to current practice perception, strongly agree/agree responses ranged from 93.3% (disclosure of procedure's name) to 13.9% (lead practitioner's training place), ranking scores were worse for all items compared to norm perception (p < 0.001), and post-procedure status, younger age, and lower educational level were associated with better ranking scores for 15 (50.0%), 12 (40.0%), and 4 (13.3%) items, respectively (p < 0.001 to 0.009). 1) even in an overall high-context communication culture, extensive and more information than is currently disclosed is perceived as norm, 2) the focus of the desired information is closer to benefits and post-procedure's issues than risks and available alternatives, 3) male, post-procedure, and older patients are in favor of more information disclosure, 4) male, older, and more educated patients may be particularly dissatisfied with current information disclosure. The focus and extent of information disclosure for clinical informed consent may need to be adjusted if a "reasonable" patient's standard is to be met.

Comparative sensory and proximate evaluation of spontaneously fermenting kunu-zaki made from germinated and ungerminated composite cereal grains

PubMed Central

Oluwajoba, Solakunmi O; Akinyosoye, Felix A; Oyetayo, Olusegun V

2013-01-01

This study evaluated the sensory properties, proximate composition, and overall consumer acceptability of kunu-zaki using germinated and ungerminated Sorghum bicolor (sorghum), Pennisetum americanum (millet), and Digitaria exilis (acha) cereal grains. The three cereal grains were used in nongerminated and germinated composite and noncomposite proportions coded A (Acha), S (Sorghum), M (Millet), AS (Acha–Sorghum), AM (Acha–Millet), SM (Sorghum–Millet), ASG (Acha–Sorghum Germinated), AMG (Acha–Millet Germinated), and SMG (Sorghum–Millet Germinated). Proximate analysis determined the moisture content, ash, crude fiber, fat, and crude protein content of the fermented grains. The 9-point hedonic scale was used to judge the sensory parameters of taste, color, and aroma. The paired comparison test was used to judge consumer preference between kunu-zaki made from germinated grains and the ungerminated counterpart. Scores were statistically analyzed using the Kruskal–Wallis test in the SPSS analytical software package. Panelists ranked the ASG-coded drink highest in terms of taste and aroma, the AMG-coded drink highest in terms of color. SM ranked least in terms of taste; SMG ranked least in terms of aroma; and AM ranked the least in terms of color. Preference for each parameter was significantly different (P < 0.001). Panelists ranked overall preference for the drinks from the most liked to the least liked in the order ASG>AMG>A>AS>S>M>SMG>AM>SM. The overall preference for the drinks was also significantly different (P < 0.001). Panelists pairing both ungerminated drinks with the germinated drinks ranked the ungerminated drink AS as most preferred in terms of taste, color, and aroma above its germinated counterpart ASG with preference not significantly dependent on the parameters (P = 0.065 > 0.05). Ungerminated AM was also preferred above the germinated counterpart AMG in terms of taste, color, and aroma with preference not significantly dependent on parameters (P = 0.055 > 0.05). However, panelists showed preference for the taste and aroma of the germinated drink SMG but more preference for the color of the ungerminated drink SM with preference significantly dependent on the parameters (P = 0.028 < 0.05). Crude fiber values were higher – 11.3%, 13.1%, and 17.37% for SMG, AMG and ASG, respectively. Germination increased %Fat values slightly but the %Ash was relatively stable in both germinated and ungerminated drinks. Addition of germinated acha cereal grains to either sorghum or millet prior to fermentation offers desirable sensory and nutritional quality attributes in kunu-zaki. PMID:24804038

Comparative sensory and proximate evaluation of spontaneously fermenting kunu-zaki made from germinated and ungerminated composite cereal grains.

PubMed

Oluwajoba, Solakunmi O; Akinyosoye, Felix A; Oyetayo, Olusegun V

2013-07-01

This study evaluated the sensory properties, proximate composition, and overall consumer acceptability of kunu-zaki using germinated and ungerminated Sorghum bicolor (sorghum), Pennisetum americanum (millet), and Digitaria exilis (acha) cereal grains. The three cereal grains were used in nongerminated and germinated composite and noncomposite proportions coded A (Acha), S (Sorghum), M (Millet), AS (Acha-Sorghum), AM (Acha-Millet), SM (Sorghum-Millet), ASG (Acha-Sorghum Germinated), AMG (Acha-Millet Germinated), and SMG (Sorghum-Millet Germinated). Proximate analysis determined the moisture content, ash, crude fiber, fat, and crude protein content of the fermented grains. The 9-point hedonic scale was used to judge the sensory parameters of taste, color, and aroma. The paired comparison test was used to judge consumer preference between kunu-zaki made from germinated grains and the ungerminated counterpart. Scores were statistically analyzed using the Kruskal-Wallis test in the SPSS analytical software package. Panelists ranked the ASG-coded drink highest in terms of taste and aroma, the AMG-coded drink highest in terms of color. SM ranked least in terms of taste; SMG ranked least in terms of aroma; and AM ranked the least in terms of color. Preference for each parameter was significantly different (P < 0.001). Panelists ranked overall preference for the drinks from the most liked to the least liked in the order ASG>AMG>A>AS>S>M>SMG>AM>SM. The overall preference for the drinks was also significantly different (P < 0.001). Panelists pairing both ungerminated drinks with the germinated drinks ranked the ungerminated drink AS as most preferred in terms of taste, color, and aroma above its germinated counterpart ASG with preference not significantly dependent on the parameters (P = 0.065 > 0.05). Ungerminated AM was also preferred above the germinated counterpart AMG in terms of taste, color, and aroma with preference not significantly dependent on parameters (P = 0.055 > 0.05). However, panelists showed preference for the taste and aroma of the germinated drink SMG but more preference for the color of the ungerminated drink SM with preference significantly dependent on the parameters (P = 0.028 < 0.05). Crude fiber values were higher - 11.3%, 13.1%, and 17.37% for SMG, AMG and ASG, respectively. Germination increased %Fat values slightly but the %Ash was relatively stable in both germinated and ungerminated drinks. Addition of germinated acha cereal grains to either sorghum or millet prior to fermentation offers desirable sensory and nutritional quality attributes in kunu-zaki.

Assessment of relative potential for Legionella species or surrogates inhalation exposure from common water uses.

PubMed

Hines, Stephanie A; Chappie, Daniel J; Lordo, Robert A; Miller, Brian D; Janke, Robert J; Lindquist, H Alan; Fox, Kim R; Ernst, Hiba S; Taft, Sarah C

2014-06-01

The Legionella species have been identified as important waterborne pathogens in terms of disease morbidity and mortality. Microbial exposure assessment is a tool that can be utilized to assess the potential of Legionella species inhalation exposure from common water uses. The screening-level exposure assessment presented in this paper developed emission factors to model aerosolization, quantitatively assessed inhalation exposures of aerosolized Legionella species or Legionella species surrogates while evaluating two generalized levels of assumed water concentrations, and developed a relative ranking of six common in-home uses of water for potential Legionella species inhalation exposure. Considerable variability in the calculated exposure dose was identified between the six identified exposure pathways, with the doses differing by over five orders of magnitude in each of the evaluated exposure scenarios. The assessment of exposure pathways that have been epidemiologically associated with legionellosis transmission (ultrasonic and cool mist humidifiers) produced higher estimated inhalation exposure doses than pathways where epidemiological evidence of transmission has been less strong (faucet and shower) or absent (toilets and therapy pool). With consideration of the large uncertainties inherent in the exposure assessment process used, a relative ranking of exposure pathways from highest to lowest exposure doses was produced using culture-based measurement data and the assumption of constant water concentration across exposure pathways. In this ranking, the ultrasonic and cool mist humidifier exposure pathways were estimated to produce the highest exposure doses, followed by the shower and faucet exposure pathways, and then the toilet and therapy pool exposure pathways. Published by Elsevier Ltd.

Scientometric analysis of physics (1979-2008): A quantitative description of scientific impact

NASA Astrophysics Data System (ADS)

Zheng, YanNing; Yuan, JunPeng; Pan, YunTao; Zhao, XiaoYuan

2011-01-01

Citations are a way to show how researchers build on existing research to further evolve research. The citation count is an indication of the influence of specific articles. The importance of citations means that it is valuable to analyze the articles that are cited the most. This research investigates highly-cited articles in physics (1979-2008) using citation data from the ISI Web of Science. In this study, 1544205 articles were examined. The objective of the analysis was to identify and list the highly-productive countries, institutions, authors, and fields in physics. Based on the analysis, it was found that the USA is the world leader in physics, and Japan has maintained the highest growth rate in physics research since 1990. Furthermore, the research focus at Bell Labs and IBM has played important roles in physics. A striking fact is that the five most active authors are all Japanese, but the five most active institutions are all in the USA. In fact, only The University of Tokyo is ranked among the top 11 institutions, and only American authors have single-author articles ranked among the top 19 articles. The highest-impact articles are distributed across 25 subjects categories. Physics, Multidisciplinary has 424 articles, and is ranked at No. 1 in total articles; followed by Physics, Condensed Matter. The study can provide science policy makers with a picture of innovation capability in this field and help them make better decisions. Hopefully, this study will stimulate useful discussion among scientists and research managers about future research directions.

Sex Ratio, Conflict Dynamics, and Wounding in Rhesus Macaques (Macaca mulatta)

PubMed Central

Beisner, B.A.; Jackson, M.E.; Cameron, A.; McCowan, B.

2011-01-01

Rhesus macaques, like many other primates, live in stable, multi-male multi-female groups in which adult females typically outnumber adult males. The number of males in multi-male/multi-female groups is most commonly discussed in terms of mate competition, where the sex ratio is a function of an adult male’s ability to monopolize a group of females. However, the relationship between sex ratio and group stability is unclear because the presence of many males may either reduce stability by increasing mate competition or may improve stability if adult males are key conflict managers. We investigated the relationship between sex ratio, male intervention behavior, and trauma in seven groups of captive rhesus macaques. Our results show that high-ranking adult males intervene twice as frequently as adult females (P<0.0001) and are about twice as successful (P<0.0001). Furthermore, the type of adult males present in the group affects the relationship between intervention behavior and rate of traumas: males must be unrelated to the highest-ranking matrilines. Groups with a lower ratio of females per male unrelated to the alpha and beta matrilines had better intervention success (P<0.04) and fewer traumas requiring veterinary care (P=0.003). We conclude that conflict management behavior by adult males, particularly those unrelated to the highest-ranking matrilines, is the mechanism by which sex ratio influences the frequency of traumas, and thus group stability. We therefore suggest that monitoring and managing the sex ratio of captive primate groups is one of many measurements to predict group stability. PMID:22628902

Assessing ecological integrity of Ozark rivers to determine suitability for protective status

USGS Publications Warehouse

Radwell, A.J.; Kwak, T.J.

2005-01-01

Preservation of extraordinary natural resources, protection of water quality, and restoration of impaired waters require a strategy to identify and protect least-disturbed streams and rivers. We applied two objective, quantitative methods to determine stream ecological integrity of headwater reaches of 10 Ozark rivers, 5 with Wild and Scenic River federal protective status. Thirty-four variables representing macroinvertebrate and fish assemblage characteristics, in-stream habitat, riparian vegetation, water quality, and watershed attributes were quantified for each river and analyzed using two multivariate approaches. The first approach, cluster and discriminant analyses, identified two groups of river with only one variable (% forested watershed) reliably distinguishing groups. Our second approach employed ordinal scaling to compare variables for each river to conceptually ideal conditions that were developed as a composite of optimal attributes among the 10 rivers. The composite distance of each river from ideal was then calculated using a unidimensional ranking technique. Two rivers without Wild and Scenic River designation ranked highest relative to ideal (highest ecological integrity), and two others, also without designation, ranked most distant from ideal (lowest ecological integrity). Fish density, number of intolerant fish species, and invertebrate density were influential biotic variables for scaling. Contributing physical variables included riparian forest cover, water nitrate concentration, water turbidity, percentage of forested watershed, percentage of private land ownership, and road density. These methods provide a framework for refinement and application in other regions to facilitate the process of establishing least-disturbed reference conditions and identifying rivers for protection and restoration. ?? 2005 Springer Science+Business Media, Inc.

Women in management means women in power: implications for society, family and culture in the Arab world.

PubMed

King-irani, L

1995-01-01

A May 1995 conference in Beirut on "The Arab Woman and Business Management" focused on the fact that women are relatively absent from decision-making positions in the public and private sectors in the Arab world. Conference participants also identified characteristics of Arab women who have successfully penetrated the ranks of management, discussed how to balance work and home life, and considered the potentially important role of women managers in the nonprofit sector. Recurring and interrelated themes of the conference addressed the fact that women who have become empowered at work will have increased self-confidence in every aspect of their lives. Also, women who have successfully managed a busy household are able to transfer these skills to the workplace. Women will increasingly demand access to the highest ranks of decision-making, but their culturally-shaped sense of themselves may ultimately hinder them from attaining positions currently reserved for men. Research has shown that women's conceptions of power are more egalitarian and cooperative than the competitiveness exhibited by men. Women may, therefore, offer an important approach to the rapidly changing world market which requires the cooperation of people from diverse backgrounds. Ultimately, it is women who define themselves (rather than accept an identity chosen by society, the family, or culture) who will progress the fastest and achieve the highest ranks in management. Women should neither passively wait to be handed power not allow men to define the nature and uses of power. Instead they must seize their own power and exercise it in their own ways.

Fuzzy sets, rough sets, and modeling evidence: Theory and Application. A Dempster-Shafer based approach to compromise decision making with multiattributes applied to product selection

NASA Technical Reports Server (NTRS)

Dekorvin, Andre

1992-01-01

The Dempster-Shafer theory of evidence is applied to a multiattribute decision making problem whereby the decision maker (DM) must compromise with available alternatives, none of which exactly satisfies his ideal. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each attribute element and the classification of existing alternatives. The classification of alternatives is addressed through expert evaluation of the degree to which each element is contained in each available alternative. The relative importance of each attribute element is determined through pairwise comparisons of the elements by the decision maker and implementation of a ratio scale quantification method. Then the 'belief' and 'plausibility' that an alternative will satisfy the decision maker's ideal are calculated and combined to rank order the available alternatives. Application to the problem of selecting computer software is given.

What Do You Think Would Make You Happier? What Do You Think You Would Choose?*

PubMed Central

Benjamin, Daniel J.; Kimball, Miles S.; Heffetz, Ori; Rees-Jones, Alex

2011-01-01

Would people choose what they think would maximize their subjective well-being (SWB)? We present survey respondents with hypothetical scenarios and elicit both choice and predicted SWB rankings of two alternatives. While choice and predicted SWB rankings usually coincide in our data, we find systematic reversals. We identify factors—such as predicted sense of purpose, control over one’s life, family happiness, and social status—that help explain hypothetical choice controlling for predicted SWB. We explore how our findings vary by SWB measure and by scenario. Our results have implications regarding the use of SWB survey questions as a proxy for utility. PMID:23275649

Compressive Sensing via Nonlocal Smoothed Rank Function

PubMed Central

Fan, Ya-Ru; Liu, Jun; Zhao, Xi-Le

2016-01-01

Compressive sensing (CS) theory asserts that we can reconstruct signals and images with only a small number of samples or measurements. Recent works exploiting the nonlocal similarity have led to better results in various CS studies. To better exploit the nonlocal similarity, in this paper, we propose a non-convex smoothed rank function based model for CS image reconstruction. We also propose an efficient alternating minimization method to solve the proposed model, which reduces a difficult and coupled problem to two tractable subproblems. Experimental results have shown that the proposed method performs better than several existing state-of-the-art CS methods for image reconstruction. PMID:27583683

The Longer They Stay the Less Talented They Perceive They Are: Females' Talent Based on Approaches to Learning

ERIC Educational Resources Information Center

Bowles, Terry

2012-01-01

A cohort of female adolescents from 11 to 18 Years of age (n = 325) completed a questionnaire based on Gardner's theory of multiple intelligences (Gardner, 1999) to examine their perception of their talents as they progressed through secondary school. Results showed that the highest ranking talents were Physical and Sport Activity, and Language…

Gen. Joseph F. Dunford, Jr. > Joint Chiefs of Staff > Article View

Science.gov Websites

Facebook on Flickr Joint Chiefs Army Chief of Staff Marine Corps Commandant Chief of Naval Operations Air Force Chief of Staff Chief of National Guard Bureau Biographies Directorates Directorates of Management Chiefs of Staff, the nation's highest-ranking military officer, and the principal military advisor to the

Finnish Reform of the Funding and Provision of Special Education: The Views of Principals and Municipal Education Administrators

ERIC Educational Resources Information Center

Pulkkinen, Jonna; Jahnukainen, Markku

2016-01-01

This study examines the current state of special education provision and resources in Finland after the extensive reform of the government transfer system and Basic Education Act implemented in 2010-2011. Data were collected from a survey of compulsory school principals and from interviews with the highest-ranking officials in municipal education…

2012 APPA Fellow Encourages Colleagues to Say Yes to Opportunities to Serve

ERIC Educational Resources Information Center

Thaler-Carter, Ruth E.

2012-01-01

It should be no surprise that the 2012 APPA Fellow is William (Bill) Elvey, P.E., FMP. He has served the association from the grassroots level up through its highest ranks and created a still-continuing legacy of excellence and engagement--his theme when serving as APPA President--that has led to new services, programs, and partnerships for the…

Multi-Material Recycling Manual. The Keep America Beautiful System. Revised Edition.

ERIC Educational Resources Information Center

1987

Solid waste management ranks third after schools and roads in most municipal budgets in the United States. Maximizing the separation of recyclable materials that can be reused may offer the highest priority and best use of our waste and should receive high priority in a solid waste management plan. This manual deals with the recycling of material…

Adolescent Substance Use: Reviewing the Effectiveness of Prevention Strategies

ERIC Educational Resources Information Center

Skiba, David; Monroe, Jacquelyn; Wodarski, John S.

2004-01-01

U.S. youths continue to use alcohol, tobacco, and other drugs at alarmingly high rates despite a temporary downward trend in the 1980s. Among an average 500,000 individuals affected annually by substance use, youths (ages 12 to 18) rank as one of the highest groups in morbidity and mortality rates, resulting in many negative consequences. As a…

A Preliminary Report on the Status of Women at Princeton University.

ERIC Educational Resources Information Center

National Organization for Women, Princeton, NJ. Central New Jersey Chapter.

Women are under-represented at all levels of the Princeton faculty (3.27%) and are most noticeably absent from the highest levels. Fifty-five percent of the men and 11.5% of the women are in the top two professorial ranks. Eighty percent of the men, in contrast to 40% of the women, hold regular faculty positions. The "visiting" faculty…

Information acquisition for women facing surgical treatment for breast cancer: influencing factors and selected outcomes.

PubMed

O'Leary, Katherine A; Estabrooks, Carole A; Olson, Kärin; Cumming, Ceinwen

2007-12-01

To examine, summarize, and critically assess the literature focusing on information use by early-stage breast cancer patients. Empirical articles reporting the information needs, sources used/preferred, and intervention-related outcomes experienced by patients in the context of making a treatment choice were chosen. Several healthcare databases were searched. Articles were limited to those published in English between January 1, 1986 and March 31, 2006. A total of 25 articles met the inclusion criteria. Information needs were consistent, and highest rankings were for (in order): information about chances for a cure, stage of disease, and treatment options. Results were equivocal regarding the factors found to influence information need: age, time since diagnosis, and preferred role in decision-making. The highest ranked information sources accessed and preferred were physicians. Age, education, and type of treatment chosen influenced source choice. Patients using consumer decision aids (CDAs) had less decisional conflict, higher satisfaction with the decision made and the decision process, and higher knowledge levels. Information needs and source use were influenced by several personal and contextual factors. A better understanding of source use could provide more effective ways of disseminating information to patients.

100 articles every ecologist should read.

PubMed

Courchamp, Franck; Bradshaw, Corey J A

2018-02-01

Reading scientific articles is a valuable and major part of the activity of scientists. Yet, with the upsurge of currently available articles and the increasing specialization of scientists, it becomes difficult to identify, let alone read, important papers covering topics not directly related to one's own specific field of research, or that are older than a few years. Our objective was to propose a list of seminal papers deemed to be of major importance in ecology, thus providing a general 'must-read' list for any new ecologist, regardless of particular topic or expertise. We generated a list of 544 papers proposed by 147 ecology experts (journal editorial members) and subsequently ranked via random-sample voting by 368 of 665 contacted ecology experts, covering 6 article types, 6 approaches and 17 fields. Most of the recommended papers were not published in the highest-ranking journals, nor did they have the highest number of mean annual citations. The articles proposed through the collective recommendation of several hundred experienced researchers probably do not represent an 'ultimate', invariant list, but they certainly contain many high-quality articles that are undoubtedly worth reading-regardless of the specific field of interest in ecology-to foster the understanding, knowledge and inspiration of early-career scientists.

HIV and Alcohol Research Priorities of City, State, and Federal Policymakers: Results of a Delphi Study

PubMed Central

Li, Lingfeng; Braithwaite, Ronald Scott

2015-01-01

We identified the research areas related to HIV and alcohol consumption that were of highest priority to city, state, and federal policymakers. From June to July 2014, we conducted a 3-round Delphi study to elicit from experts a list of alcohol- and HIV-related clinical trial research questions that were important to fund and rank order the list to identify questions of highest priority. Translating evidence into practice must be improved because some questions that have been extensively studied with results published in peer-reviewed journals were identified by the panel as areas needing additional research. PMID:26180968

HIV and Alcohol Research Priorities of City, State, and Federal Policymakers: Results of a Delphi Study.

PubMed

Uyei, Jennifer; Li, Lingfeng; Braithwaite, Ronald Scott

2015-09-01

We identified the research areas related to HIV and alcohol consumption that were of highest priority to city, state, and federal policymakers. From June to July 2014, we conducted a 3-round Delphi study to elicit from experts a list of alcohol- and HIV-related clinical trial research questions that were important to fund and rank order the list to identify questions of highest priority. Translating evidence into practice must be improved because some questions that have been extensively studied with results published in peer-reviewed journals were identified by the panel as areas needing additional research.

Contribution of the Multi Attribute Value Theory to conflict resolution in groundwater management. Application to the Mancha Oriental groundwater system, Spain

NASA Astrophysics Data System (ADS)

Apperl, B.; Andreu, J.; Karjalainen, T. P.; Pulido-Velazquez, M.

2014-09-01

The implementation of the EU Water Framework Directive demands participatory water resource management approaches. Decision making in groundwater quantity and quality management is complex because of the existence of many independent actors, heterogeneous stakeholder interests, multiple objectives, different potential policies, and uncertain outcomes. Conflicting stakeholder interests have been often identified as an impediment to the realization and success of water regulations and policies. The management of complex groundwater systems requires clarifying stakeholders' positions (identifying stakeholders preferences and values), improving transparency with respect to outcomes of alternatives, and moving the discussion from the selection of alternatives towards definition of fundamental objectives (value-thinking approach), what facilitates negotiation. The aims of the study are to analyse the potential of the multi attribute value theory for conflict resolution in groundwater management and to evaluate the benefit of stakeholder incorporation in the different stages of the planning process to find an overall satisfying solution for groundwater management. The research was conducted in the Mancha Oriental groundwater system (Spain), subject to an intensive use of groundwater for irrigation. A complex set of objectives and attributes were defined, and the management alternatives were created by a combination of different fundamental actions, considering different implementation stages and future changes in water resources availability. Interviews were conducted with representative stakeholder groups using an interactive platform, showing simultaneously the consequences of changes of preferences to the alternative ranking. Results show that the acceptation of alternatives depends strongly on the combination of measures and the implementation stages. Uncertainties of the results were notable but did not influence heavily on the alternative ranking. The expected reduction of future groundwater resources by climate change increases the conflict potential. The implementation of the method to a very complex case study, with many conflicting objectives and alternatives and uncertain outcomes, including future scenarios under water limiting conditions, illustrate the potential of the method for supporting management decisions.

Contribution of the multi-attribute value theory to conflict resolution in groundwater management - application to the Mancha Oriental groundwater system, Spain

NASA Astrophysics Data System (ADS)

Apperl, B.; Pulido-Velazquez, M.; Andreu, J.; Karjalainen, T. P.

2015-03-01

The implementation of the EU Water Framework Directive demands participatory water resource management approaches. Decision making in groundwater quantity and quality management is complex because of the existence of many independent actors, heterogeneous stakeholder interests, multiple objectives, different potential policies, and uncertain outcomes. Conflicting stakeholder interests have often been identified as an impediment to the realisation and success of water regulations and policies. The management of complex groundwater systems requires the clarification of stakeholders' positions (identifying stakeholder preferences and values), improving transparency with respect to outcomes of alternatives, and moving the discussion from the selection of alternatives towards the definition of fundamental objectives (value-thinking approach), which facilitates negotiation. The aims of the study are to analyse the potential of the multi-attribute value theory for conflict resolution in groundwater management and to evaluate the benefit of stakeholder incorporation into the different stages of the planning process, to find an overall satisfying solution for groundwater management. The research was conducted in the Mancha Oriental groundwater system (Spain), subject to intensive use of groundwater for irrigation. A complex set of objectives and attributes was defined, and the management alternatives were created by a combination of different fundamental actions, considering different implementation stages and future changes in water resource availability. Interviews were conducted with representative stakeholder groups using an interactive platform, showing simultaneously the consequences of changes in preferences to the alternative ranking. Results show that the approval of alternatives depends strongly on the combination of measures and the implementation stages. Uncertainties in the results were notable, but did not influence the alternative ranking heavily. The expected reduction in future groundwater resources by climate change increases the conflict potential. The implementation of the method in a very complex case study, with many conflicting objectives and alternatives and uncertain outcomes, including future scenarios under water limiting conditions, illustrates the potential of the method for supporting management decisions.

Ranking mechanical pulps for their potential to photoyellow

Treesearch

Umesh P. Agarwal

2000-01-01

Recently found experimental evidence has provided strong support for an alternative photoyellowing mechanism that suggests that pulp- photoyellowing occurs due to direct photooxidation of hydroquinones (present in mechanical pulps) top-quinones. Because hydroquinones were found to be present in pulps, it may be possible to quantify them. Quantification of mechanical-...

Gender Differences in Perception of Contraception Alternatives by Never-Married College Students.

ERIC Educational Resources Information Center

McDermott, Robert J.; Gold, Robert S.

A study examined the perceptions of college students regarding 10 contraceptive methods, including the condom, douche, oral contraceptive, withdrawal, diaphragm, female sterilization, spermicidal foam, rhythm, male sterilization, and intrauterine device. A total of 285 females and 316 males responded to a questionnaire which had students rank each…

Drumming: An Innovative Alternative for Drug Addicted Individuals

ERIC Educational Resources Information Center

Hill, John C.; Hains, Bryan; Ricketts, Kristina

2017-01-01

Drug abuse has been a persistent problem within the United States. Among the nation, Kentucky ranks third in drug overdose and drug mortality rates, with numbers quadrupling from 1999 to 2010. Recent statistics indicate drug offenders account or a significant portion of individuals within the criminal justice system, directly affecting the…

Structuring Program Analysis for Educational Research.

ERIC Educational Resources Information Center

Levine, Donald M.

Education is too complex, multidimensional, and poorly understood to lend itself to a single cost/effectiveness criterion. Rather, analysts in the educational field seek to rank alternatives by their effectiveness, report separately on the cost implications, and leave the tradeoffs to the decisionmaker's judgment. In this context, a program is any…

Economic Risk Analysis of Agricultural Tillage Systems Using the SMART Stochastic Efficiency Software Package

USDA-ARS?s Scientific Manuscript database

Recently, a variant of stochastic dominance called stochastic efficiency with respect to a function (SERF) has been developed and applied. Unlike traditional stochastic dominance approaches, SERF uses the concept of certainty equivalents (CEs) to rank a set of risk-efficient alternatives instead of...

Nutzwertanalyse

Treesearch

A. Henne

1978-01-01

Nutzwertanalyse (NUWA) is a psychometric instrument for finding the test compromise in the multiple use planning of forestry, when the multiple objectives cannot be expressed in the same physical or monetary unit. It insures a systematic assessment of the consequences of proposed alternatives and thoroughly documents the decision process. The method leads to a ranking...

Effect Size Calculations and Single Subject Designs

ERIC Educational Resources Information Center

Olive, Melissa L.; Smith, Benjamin W.

2005-01-01

This study compared visual analyses with five alternative methods for assessing the magnitude of effect with single subject designs. Each method was successful in detecting intervention effect. When rank ordered, each method was consistent in identifying the participants with the largest effect. We recommend the use of the standard mean difference…

Alternative Methods by Which Basic Science Pharmacy Faculty Can Relate to Clinical Practice.

ERIC Educational Resources Information Center

Kabat, Hugh F.; And Others

1982-01-01

A panel of pharmacy faculty ranked a broad inventory of basic pharmaceutical science topics in terms of their applicability to clinical pharmacy practice. The panel concluded that basic pharmaceutical sciences are essentially applications of foundation areas in biological, physical, and social sciences. (Author/MLW)

Estimates of the Sampling Distribution of Scalability Coefficient H

ERIC Educational Resources Information Center

Van Onna, Marieke J. H.

2004-01-01

Coefficient "H" is used as an index of scalability in nonparametric item response theory (NIRT). It indicates the degree to which a set of items rank orders examinees. Theoretical sampling distributions, however, have only been derived asymptotically and only under restrictive conditions. Bootstrap methods offer an alternative possibility to…

Ranking Mammal Species for Conservation and the Loss of Both Phylogenetic and Trait Diversity.

PubMed

Redding, David W; Mooers, Arne O

2015-01-01

The 'edge of existence' (EDGE) prioritisation scheme is a new approach to rank species for conservation attention that aims to identify species that are both isolated on the tree of life and at imminent risk of extinction as defined by the World Conservation Union (IUCN). The self-stated benefit of the EDGE system is that it effectively captures unusual 'unique' species, and doing so will preserve the total evolutionary history of a group into the future. Given the EDGE metric was not designed to capture total evolutionary history, we tested this claim. Our analyses show that the total evolutionary history of mammals preserved is indeed much higher if EDGE species are protected than if at-risk species are chosen randomly. More of the total tree is also protected by EDGE species than if solely threat status or solely evolutionary distinctiveness were used for prioritisation. When considering how much trait diversity is captured by IUCN and EDGE prioritisation rankings, interestingly, preserving the highest-ranked EDGE species, or indeed just the most threatened species, captures more total trait diversity compared to sets of randomly-selected at-risk species. These results suggest that, as advertised, EDGE mammal species contribute evolutionary history to the evolutionary tree of mammals non-randomly, and EDGE-style rankings among endangered species can also capture important trait diversity. If this pattern holds for other groups, the EDGE prioritisation scheme has greater potential to be an efficient method to allocate scarce conservation effort.

Ranking of predictor variables based on effect size criterion provides an accurate means of automatically classifying opinion column articles

NASA Astrophysics Data System (ADS)

Legara, Erika Fille; Monterola, Christopher; Abundo, Cheryl

2011-01-01

We demonstrate an accurate procedure based on linear discriminant analysis that allows automatic authorship classification of opinion column articles. First, we extract the following stylometric features of 157 column articles from four authors: statistics on high frequency words, number of words per sentence, and number of sentences per paragraph. Then, by systematically ranking these features based on an effect size criterion, we show that we can achieve an average classification accuracy of 93% for the test set. In comparison, frequency size based ranking has an average accuracy of 80%. The highest possible average classification accuracy of our data merely relying on chance is ∼31%. By carrying out sensitivity analysis, we show that the effect size criterion is superior than frequency ranking because there exist low frequency words that significantly contribute to successful author discrimination. Consistent results are seen when the procedure is applied in classifying the undisputed Federalist papers of Alexander Hamilton and James Madison. To the best of our knowledge, the work is the first attempt in classifying opinion column articles, that by virtue of being shorter in length (as compared to novels or short stories), are more prone to over-fitting issues. The near perfect classification for the longer papers supports this claim. Our results provide an important insight on authorship attribution that has been overlooked in previous studies: that ranking discriminant variables based on word frequency counts is not necessarily an optimal procedure.

Solving for Efficiency or Decision Criteria: When the Non-unique Nature of Solutions Becomes a Benefit

NASA Astrophysics Data System (ADS)

Pierce, S. A.; Ciarleglio, M.; Dulay, M.; Lowry, T. S.; Sharp, J. M.; Barnes, J. W.; Eaton, D. J.; Tidwell, V. C.

2006-12-01

Work in the literature for groundwater allocation emphasizes finding a truly optimal solution, often with the drawback of limiting the reported results to either maximizing net benefit in regional scale models or minimizing pumping costs for localized cases. From a policy perspective, limited insight can be gained from these studies because the results are restricted to a single, efficient solution and they neglect non-market values that may influence a management decision. Conversely, economically derived objective functions tend to exhibit a plateau upon nearing the optimal value. This plateau effect, or non-uniqueness, is actually a positive feature in the behavior of groundwater systems because it demonstrates that multiple management strategies, serving numerous community preferences, may be considered while still achieving similar quantitative results. An optimization problem takes the same set of initial conditions and looks for the most efficient solution while a decision problem looks at a situation and asks for a solution that meets certain user-defined criteria. In other words, the election of an alternative course of action using a decision support system will not always result in selection of the most `optimized' alternative. To broaden the analytical toolset available for science and policy interaction, we have developed a groundwater decision support system (GWDSS) that generates a suite of management alternatives by pairing a combinatorial search algorithm with a numerical groundwater model for consideration by decision makers and stakeholders. Subject to constraints as defined by community concerns, the tabu optimization engine systematically creates hypothetical management scenarios running hundreds, and even thousands, of simulations, and then saving the best performing realizations. Results of the search are then evaluated against stakeholder preference sets using ranking methods to aid in identifying a subset of alternatives for final consideration. Here we present the development of the GWDSS and its use in the decision making process for the Barton Springs segment of the Edwards Aquifer located in Austin Texas. Using hydrogeologic metrics, together with economic estimates and impervious cover valuations, representative rankings are determined. Post search multi-objective analysis reveals that some highly ranked alternatives meet the preference sets of more than one stakeholder and achieve similar quantitative aquifer performance. These results are important to both modelers and policy makers alike.

Selection of a suitable method for the preparation of polymeric nanoparticles: multi-criteria decision making approach.

PubMed

Krishnamoorthy, Kannan; Mahalingam, Manikandan

2015-03-01

The present study is aimed to select the suitable method for preparation of camptothecin loaded polymeric nanoparticles by utilizing the multi-criteria decision making method. Novel approaches of drug delivery by formulation using nanotechnology are revolutionizing the future of medicine. Recent years have witnessed unprecedented growth of research and application in the area of nanotechnology. Nanoparticles have become an important area of research in the field of drug delivery because they have the ability to deliver a wide range of drug to varying areas of body. Despite of extensive research and development, polymeric nanoparticles are frequently used to improve the therapeutic effect of drugs. A number of techniques are available for the preparation of polymeric nanoparticles. The Analytical Hierarchy Process (AHP) is a method for decision making, which are derived from individual judgements for qualitative factors, using the pair-wise comparison matrix. In AHP, a decision hierarchy is constructed with a goal, criteria and alternatives. The model uses three main criteria 1) Instrument, 2) Process and Output and 3) Cost. In addition, there are eight sub-criteria's as well as eight alternatives. Pair-wise comparison matrixes are used to obtain the overall priority weight and ranking for the selection of suitable method. Nanoprecipitation technique is the most suitable method for the preparation of camptothecin loaded polymeric nanoparticles with the highest overall priority weight of 0.297 CONCLUSION: In particular, the result indicates that the priority weights obtained from AHP could be defined as a multiple output for finding out the most suitable method for preparation of camptothecin loaded polymeric nanoparticles.

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

PubMed

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.

Ethnopharmacological Assessment of Medicinal Plants Used against Livestock Infections by the People Living around Indus River

PubMed Central

Mussarat, Sakina; Amber, Rahila; Tariq, Akash; Adnan, Muhammad; AbdElsalam, Naser M.; Bibi, Roqaia

2014-01-01

The present study was aimed to document detailed ethnopharmacological knowledge of medicinal plants against livestock infections of an unexplored remote region of Pakistan. Semistructured questionnaires were used for data collection. Total 43 plants belonging to 26 families were found to be used in ethnoveterinary practices. Seeds (29%) were found to be the most frequent plant part used followed by leaves (22%). Ethnoveterinary recipes were mostly prepared in the form of decoction and powdering. Informant consensus factor (Fic) results revealed high consensus for gastrointestinal (0.81), mastitis (0.82), and dermatological infections (0.80). Curcuma longa ranked first with highest fidelity level (FL) value (66%) followed by Trachyspermum ammi that ranked second (58%). Preference ranking (PR) results showed that Zingiber officinale, Punica granatum, Triticum aestivum, Gossypium hirsutum, and Withania coagulans were the most preferred species for the treatment of diarrhea. Direct matrix ranking (DMR) results showed that Morus alba, Melia azedarach, Withania coagulans, Cassia fistula, Azadirachta indica, and Tamarix aphylla were the multipurpose species of the region. We invite the attention of pharmacologists and chemists for further exploration of plants having high Fic, FL, and PR values in the present study. Conservation strategies should be adopted for the protection of multipurpose plant species. PMID:25544941

The identification of criteria to evaluate prehospital trauma care using the Delphi technique.

PubMed

Rosengart, Matthew R; Nathens, Avery B; Schiff, Melissa A

2007-03-01

Current trauma system performance improvement emphasizes hospital- and patient-based outcome measures such as mortality and morbidity, with little focus upon the processes of prehospital trauma care. Little data exist to suggest which prehospital criteria should serve as potential filters. This study identifies the most important filters for auditing prehospital trauma care using a Delphi technique to achieve consensus of expert opinion. Experts in trauma care from the United States (n = 81) were asked to generate filters of potential utility in monitoring the prehospital aspect of the trauma system, and were then required to rank these questions in order of importance to identify those of greatest importance. Twenty-eight filters ranking in the highest tertile are proposed. The majority (54%) pertains to aspects of emergency medical services, which comprise 7 of the top 10 (70%) filters. Triage filters follow in priority ranking, comprising 29% of the final list. Filters concerning interfacility transfers and transportation ranked lowest. This study identifies audit filters representing the most important aspects of prehospital trauma care that merit continued evaluation and monitoring. A subsequent trial addressing the utility of these filters could potentially enhance the sensitivity of identifying deviations in prehospital care, standardize the performance improvement process, and translate into an improvement in patient care and outcome.

Trauma rates and patterns in specific pathogen free (SPF) rhesus macaque (Macaca mulatta) groups.

PubMed

Stavisky, Ronda C; Ramsey, Jacklyn K; Meeker, Tracy; Stovall, Melissa; Crane, Maria M

2018-03-01

There are some predictable patterns of trauma in captive rhesus macaque (Macaca mulatta) social groups. Several factors have been documented to contribute to these patterns, including group formation of unrelated animals, and the establishment of dominance ranks. Here, we report on how socially induced trauma in groups of rhesus monkeys is influenced by the breeding season, numbers of matrilines per group and matriline size. We analyzed 3 years of data collected from veterinary admittance logs for four groups in our specific pathogen free (SPF) breeding colony. Since the groups differed in time from formation, both the numbers of matrilines and the composition of those matrilines were different. Across the four groups, trauma rates were significantly higher during the fall breeding season than the spring and summer months when births occur. The group that was formed most recently, comprised of the greatest number of matrilines but fewest related animals, showed significantly higher rates of trauma than the older social groups. Further, the middle and lowest ranking families received signifincantly higher rates of trauma than the highest ranking families, suggesting a rank-related phenomenon. Additionally, there was a significant negative correlation between numbers of adult females in a matriline and rates of trauma observed in each matriline, but the numbers of adult females are significantly higher in the top ranked families compared to all of the other matrilines. These findings suggest that trauma rates increase during the breeding season and may be exacerbated in recently formed breeding groups that have smaller matrilines and reduced opportunities for social support to mitigate rank-related aggression. Management practices should be devised to ensure adequate matrilineal size to decrease rates of trauma in captive rhesus macaque groups. © 2018 Wiley Periodicals, Inc.

Primary-Care Weight-Management Strategies: Parental Priorities and Preferences

PubMed Central

Turer, Christy Boling; Upperman, Carla; Merchant, Zahra; Montaño, Sergio; Flores, Glenn

2015-01-01

Objective Examine parental perspectives/rankings of the most important weight-management clinical practices; and, determine whether preferences/rankings differ when parents disagree that their child is overweight. Methods Mixed-methods analysis of a 32-question survey of parents of 2-18 year-old overweight children assessing parental agreement that their child is overweight, the single most important thing providers can do to improve weight status, ranking AAP-recommended clinical practices, and preferred follow-up interval. Four independent reviewers analyzed open-response data to identify qualitative themes/subthemes. Multivariable analyses examined parental rankings, preferred follow-up interval, and differences by agreement with their child’s overweight assessment. Results Thirty-six percent of 219 children were overweight, 42% were obese, and 22% severely obese; 16% of parents disagreed with their child’s overweight assessment. Qualitative analysis of the most important practice to help overweight children yielded 10 themes; unique to parents disagreeing with their children’s overweight assessments was, “change weight-status assessments.” After adjustment, the three highest-ranked clinical practices included, “check for weight-related problems,” “review growth chart,” and “recommend general dietary changes” (all P<.01);” parents disagreeing with their children’s overweight assessments ranked “review growth chart” as less important, and “reducing screen time” and “general activity changes” as more important. The mean preferred weight-management follow-up interval (10-12 weeks) did not differ by agreement with children’s overweight assessments. Conclusions Parents prefer weight-management strategies that prioritize evaluating weight-related problems, growth-chart review, and regular follow-up. Parents who disagree that their child is overweight want changes in how overweight is assessed. Using parent-preferred weight-management strategies may prove useful in improving child weight status. PMID:26514648

Percentile Ranking and Citation Impact of a Large Cohort of NHLBI-funded Cardiovascular R01 Grants

PubMed Central

Danthi, Narasimhan; Wu, Colin O.; Shi, Peibei; Lauer, Michael

2014-01-01

Rationale Funding decisions for cardiovascular R01 grant applications at NHLBI largely hinge on percentile rankings. It is not known whether this approach enables the highest impact science. Objective To conduct an observational analysis of percentile rankings and bibliometric outcomes for a contemporary set of funded NHLBI cardiovascular R01 grants. Methods and results We identified 1492 investigator-initiated de novo R01 grant applications that were funded between 2001 and 2008, and followed their progress for linked publications and citations to those publications. Our co-primary endpoints were citations received per million dollars of funding, citations obtained within 2-years of publication, and 2-year citations for each grant’s maximally cited paper. In 7654 grant-years of funding that generated $3004 million of total NIH awards, the portfolio yielded 16,793 publications that appeared between 2001 and 2012 (median per grant 8, 25th and 75th percentiles 4 and 14, range 0 – 123), which received 2,224,255 citations (median per grant 1048, 25th and 75th percentiles 492 and 1,932, range 0 – 16,295). We found no association between percentile ranking and citation metrics; the absence of association persisted even after accounting for calendar time, grant duration, number of grants acknowledged per paper, number of authors per paper, early investigator status, human versus non-human focus, and institutional funding. An exploratory machine-learning analysis suggested that grants with the very best percentile rankings did yield more maximally cited papers. Conclusions In a large cohort of NHLBI-funded cardiovascular R01 grants, we were unable to find a monotonic association between better percentile ranking and higher scientific impact as assessed by citation metrics. PMID:24406983

Ranking of Palliative Care Development in the Countries of the European Union.

PubMed

Woitha, Kathrin; Garralda, Eduardo; Martin-Moreno, Jose María; Clark, David; Centeno, Carlos

2016-09-01

There is growing interest in monitoring palliative care (PC) development internationally. One aspect of this is the ranking of such development for comparative purposes. To generate a ranking classification and to compare scores for PC development in the countries of the European Union, 2007 and 2013. PC "development" in this study is understood as a combination of the existence of relevant services in a country ("resources") plus the capacity to develop further resources in the future ("vitality"). "Resources" comprise indicators of three types of PC services per population (inpatient palliative care units and inpatient hospices, hospital support teams, and home care teams). "Vitality" of PC is estimated by numerical scores for the existence of a national association, a directory of services, physician accreditation, attendances at a key European conference and volume of publications on PC development. The leading country (by raw score) is then considered as the reference point against which all other countries are measured. Different weightings are applied to resources (75%) and vitality (25%). From this, an overall ranking is constructed. The U.K. achieved the highest level of development (86% of the maximum possible score), followed by Belgium and overall The Netherlands (81%), and Sweden (80%). In the resources domain, Luxembourg, the U.K., and Belgium were leading. The top countries in vitality were Germany and the U.K. In comparison to 2007, The Netherlands, Malta, and Portugal showed the biggest improvements, whereas the positions of Spain, France, and Greece deteriorated. The ranking method permitted a comparison of palliative care development between countries and shows changes over time. Recommendations for improving the ranking include improvements to the methodology and greater explanation of the levels and changes it reveals. Copyright © 2016 Universidad Navarra. Published by Elsevier Inc. All rights reserved.

“URM Candidates Are Encouraged to Apply”: A National Study to Identify Effective Strategies to Enhance Racial and Ethnic Faculty Diversity in Academic Departments of Medicine

PubMed Central

Peek, Monica E.; Kim, Karen E.; Johnson, Julie K.; Vela, Monica B.

2016-01-01

Purpose There is little evidence regarding which factors and strategies are associated with high proportions of underrepresented minority (URM) faculty in academic medicine. The authors conducted a national study of U.S. academic medicine departments to better understand the challenges, successful strategies, and predictive factors for enhancing racial and ethnic diversity among faculty (i.e., physicians with an academic position or rank). Method This was a mixed-methods study using quantitative and qualitative methods. The authors conducted a cross-sectional study of eligible departments of medicine in 125 accredited U.S. medical schools, dichotomized into low-URM (bottom 50%) versus high-URM rank (top 50%). They used t tests and chi-squared tests to compare departments by geographic region, academic school rank, city type, and composite measures of “diversity best practices.” The authors also conducted semistructured in-depth interviews with a subsample from the highest-and lowest-quartile medical schools in terms of URM rank. Results Eighty-two medical schools responded (66%). Geographic region and academic rank were statistically associated with URM rank, but not city type or composite measures of diversity best practices. Key themes emerged from interviews regarding successful strategies for URM faculty recruitment and retention including institutional leadership, the use of human capital and social relationships and strategic deployment of institutional resources. Conclusions Departments of medicine with high proportions of URM faculty employ a number of successful strategies and programs for recruitment and retention. More research is warranted to identify new successful strategies and to determine the impact of specific strategies on establishing and maintaining workforce diversity. PMID:23348090

Percentile ranking and citation impact of a large cohort of National Heart, Lung, and Blood Institute-funded cardiovascular R01 grants.

PubMed

Danthi, Narasimhan; Wu, Colin O; Shi, Peibei; Lauer, Michael

2014-02-14

Funding decisions for cardiovascular R01 grant applications at the National Heart, Lung, and Blood Institute (NHLBI) largely hinge on percentile rankings. It is not known whether this approach enables the highest impact science. Our aim was to conduct an observational analysis of percentile rankings and bibliometric outcomes for a contemporary set of funded NHLBI cardiovascular R01 grants. We identified 1492 investigator-initiated de novo R01 grant applications that were funded between 2001 and 2008 and followed their progress for linked publications and citations to those publications. Our coprimary end points were citations received per million dollars of funding, citations obtained <2 years of publication, and 2-year citations for each grant's maximally cited paper. In 7654 grant-years of funding that generated $3004 million of total National Institutes of Health awards, the portfolio yielded 16 793 publications that appeared between 2001 and 2012 (median per grant, 8; 25th and 75th percentiles, 4 and 14; range, 0-123), which received 2 224 255 citations (median per grant, 1048; 25th and 75th percentiles, 492 and 1932; range, 0-16 295). We found no association between percentile rankings and citation metrics; the absence of association persisted even after accounting for calendar time, grant duration, number of grants acknowledged per paper, number of authors per paper, early investigator status, human versus nonhuman focus, and institutional funding. An exploratory machine learning analysis suggested that grants with the best percentile rankings did yield more maximally cited papers. In a large cohort of NHLBI-funded cardiovascular R01 grants, we were unable to find a monotonic association between better percentile ranking and higher scientific impact as assessed by citation metrics.

Ranking major and minor research misbehaviors: results from a survey among participants of four World Conferences on Research Integrity.

PubMed

Bouter, Lex M; Tijdink, Joeri; Axelsen, Nils; Martinson, Brian C; Ter Riet, Gerben

2016-01-01

Codes of conduct mainly focus on research misconduct that takes the form of fabrication, falsification, and plagiarism. However, at the aggregate level, lesser forms of research misbehavior may be more important due to their much higher prevalence. Little is known about what the most frequent research misbehaviors are and what their impact is if they occur. A survey was conducted among 1353 attendees of international research integrity conferences. They were asked to score 60 research misbehaviors according to their views on and perceptions of the frequency of occurrence, preventability, impact on truth (validity), and impact on trust between scientists on 5-point scales. We expressed the aggregate level impact as the product of frequency scores and truth, trust and preventability scores, respectively. We ranked misbehaviors based on mean scores. Additionally, relevant demographic and professional background information was collected from participants. Response was 17% of those who were sent the invitational email and 33% of those who opened it. The rankings suggest that selective reporting, selective citing, and flaws in quality assurance and mentoring are viewed as the major problems of modern research. The "deadly sins" of fabrication and falsification ranked highest on the impact on truth but low to moderate on aggregate level impact on truth, due to their low estimated frequency. Plagiarism is thought to be common but to have little impact on truth although it ranked high on aggregate level impact on trust. We designed a comprehensive list of 60 major and minor research misbehaviors. Our respondents were much more concerned over sloppy science than about scientific fraud (FFP). In the fostering of responsible conduct of research, we recommend to develop interventions that actively discourage the high ranking misbehaviors from our study.

"URM candidates are encouraged to apply": a national study to identify effective strategies to enhance racial and ethnic faculty diversity in academic departments of medicine.

PubMed

Peek, Monica E; Kim, Karen E; Johnson, Julie K; Vela, Monica B

2013-03-01

There is little evidence regarding which factors and strategies are associated with high proportions of underrepresented minority (URM) faculty in academic medicine. The authors conducted a national study of U.S. academic medicine departments to better understand the challenges, successful strategies, and predictive factors for enhancing racial and ethnic diversity among faculty (i.e., physicians with an academic position or rank). This was a mixed-methods study using quantitative and qualitative methods. The authors conducted a cross-sectional study of eligible departments of medicine in 125 accredited U.S. medical schools, dichotomized into low-URM (bottom 50%) versus high-URM rank (top 50%). They used t tests and chi-squared tests to compare departments by geographic region, academic school rank, city type, and composite measures of "diversity best practices." The authors also conducted semistructured in-depth interviews with a subsample from the highest- and lowest-quartile medical schools in terms of URM rank. Eighty-two medical schools responded (66%). Geographic region and academic rank were statistically associated with URM rank, but not city type or composite measures of diversity best practices. Key themes emerged from interviews regarding successful strategies for URM faculty recruitment and retention, including institutional leadership, the use of human capital and social relationships, and strategic deployment of institutional resources. Departments of medicine with high proportions of URM faculty employ a number of successful strategies and programs for recruitment and retention. More research is warranted to identify new successful strategies and to determine the impact of specific strategies on establishing and maintaining workforce diversity.

Impacts of phylogenetic nomenclature on the efficacy of the U.S. Endangered Species Act.

PubMed

Leslie, Matthew S

2015-02-01

Cataloging biodiversity is critical to conservation efforts because accurate taxonomy is often a precondition for protection under laws designed for species conservation, such as the U.S. Endangered Species Act (ESA). Traditional nomenclatural codes governing the taxonomic process have recently come under scrutiny because taxon names are more closely linked to hierarchical ranks than to the taxa themselves. A new approach to naming biological groups, called phylogenetic nomenclature (PN), explicitly names taxa by defining their names in terms of ancestry and descent. PN has the potential to increase nomenclatural stability and decrease confusion induced by the rank-based codes. But proponents of PN have struggled with whether species and infraspecific taxa should be governed by the same rules as other taxa or should have special rules. Some proponents advocate the wholesale abandonment of rank labels (including species); this could have consequences for the implementation of taxon-based conservation legislation. I examined the principles of PN as embodied in the PhyloCode (an alternative to traditional rank-based nomenclature that names biological groups based on the results of phylogenetic analyses and does not associate taxa with ranks) and assessed how this novel approach to naming taxa might affect the implementation of species-based legislation by providing a case study of the ESA. The latest version of the PhyloCode relies on the traditional rank-based codes to name species and infraspecific taxa; thus, little will change regarding the main targets of the ESA because they will retain rank labels. For this reason, and because knowledge of evolutionary relationships is of greater importance than nomenclatural procedures for initial protection of endangered taxa under the ESA, I conclude that PN under the PhyloCode will have little impact on implementation of the ESA. © 2014 Society for Conservation Biology.

Postwildfire debris-flow hazard assessment of the area burned by the 2013 West Fork Fire Complex, southwestern Colorado

USGS Publications Warehouse

Verdin, Kristine L.; Dupree, Jean A.; Stevens, Michael R.

2013-01-01

This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the 2013 West Fork Fire Complex near South Fork in southwestern Colorado. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence, potential volume of debris flows, and the combined debris-flow hazard ranking along the drainage network within and just downstream from the burned area, and to estimate the same for 54 drainage basins of interest within the perimeter of the burned area. Input data for the debris-flow models included topographic variables, soil characteristics, burn severity, and rainfall totals and intensities for a (1) 2-year-recurrence, 1-hour-duration rainfall, referred to as a 2-year storm; (2) 10-year-recurrence, 1-hour-duration rainfall, referred to as a 10-year storm; and (3) 25-year-recurrence, 1-hour-duration rainfall, referred to as a 25-year storm. Estimated debris-flow probabilities at the pour points of the 54 drainage basins of interest ranged from less than 1 to 65 percent in response to the 2-year storm; from 1 to 77 percent in response to the 10-year storm; and from 1 to 83 percent in response to the 25-year storm. Twelve of the 54 drainage basins of interest have a 30-percent probability or greater of producing a debris flow in response to the 25-year storm. Estimated debris-flow volumes for all rainfalls modeled range from a low of 2,400 cubic meters to a high of greater than 100,000 cubic meters. Estimated debris-flow volumes increase with basin size and distance along the drainage network, but some smaller drainages also were predicted to produce substantial debris flows. One of the 54 drainage basins of interest had the highest combined hazard ranking, while 9 other basins had the second highest combined hazard ranking. Of these 10 basins with the 2 highest combined hazard rankings, 7 basins had predicted debris-flow volumes exceeding 100,000 cubic meters, while 3 had predicted probabilities of debris flows exceeding 60 percent. The 10 basins with high combined hazard ranking include 3 tributaries in the headwaters of Trout Creek, four tributaries to the West Fork San Juan River, Hope Creek draining toward a county road on the eastern edge of the burn, Lake Fork draining to U.S. Highway 160, and Leopard Creek on the northern edge of the burn. The probabilities and volumes for the modeled storms indicate a potential for debris-flow impacts on structures, reservoirs, roads, bridges, and culverts located within and immediately downstream from the burned area. U.S. Highway 160, on the eastern edge of the burn area, also is susceptible to impacts from debris flows.

CSmetaPred: a consensus method for prediction of catalytic residues.

PubMed

Choudhary, Preeti; Kumar, Shailesh; Bachhawat, Anand Kumar; Pandit, Shashi Bhushan

2017-12-22

Knowledge of catalytic residues can play an essential role in elucidating mechanistic details of an enzyme. However, experimental identification of catalytic residues is a tedious and time-consuming task, which can be expedited by computational predictions. Despite significant development in active-site prediction methods, one of the remaining issues is ranked positions of putative catalytic residues among all ranked residues. In order to improve ranking of catalytic residues and their prediction accuracy, we have developed a meta-approach based method CSmetaPred. In this approach, residues are ranked based on the mean of normalized residue scores derived from four well-known catalytic residue predictors. The mean residue score of CSmetaPred is combined with predicted pocket information to improve prediction performance in meta-predictor, CSmetaPred_poc. Both meta-predictors are evaluated on two comprehensive benchmark datasets and three legacy datasets using Receiver Operating Characteristic (ROC) and Precision Recall (PR) curves. The visual and quantitative analysis of ROC and PR curves shows that meta-predictors outperform their constituent methods and CSmetaPred_poc is the best of evaluated methods. For instance, on CSAMAC dataset CSmetaPred_poc (CSmetaPred) achieves highest Mean Average Specificity (MAS), a scalar measure for ROC curve, of 0.97 (0.96). Importantly, median predicted rank of catalytic residues is the lowest (best) for CSmetaPred_poc. Considering residues ranked ≤20 classified as true positive in binary classification, CSmetaPred_poc achieves prediction accuracy of 0.94 on CSAMAC dataset. Moreover, on the same dataset CSmetaPred_poc predicts all catalytic residues within top 20 ranks for ~73% of enzymes. Furthermore, benchmarking of prediction on comparative modelled structures showed that models result in better prediction than only sequence based predictions. These analyses suggest that CSmetaPred_poc is able to rank putative catalytic residues at lower (better) ranked positions, which can facilitate and expedite their experimental characterization. The benchmarking studies showed that employing meta-approach in combining residue-level scores derived from well-known catalytic residue predictors can improve prediction accuracy as well as provide improved ranked positions of known catalytic residues. Hence, such predictions can assist experimentalist to prioritize residues for mutational studies in their efforts to characterize catalytic residues. Both meta-predictors are available as webserver at: http://14.139.227.206/csmetapred/ .

Neutrinophilic two Higgs doublet model with dark matter under an alternative U(1)_{B-L} gauge symmetry

NASA Astrophysics Data System (ADS)

Nomura, Takaaki; Okada, Hiroshi

2018-03-01

We propose a Dirac type active neutrino with rank two mass matrix and a Majorana fermion dark matter candidate with an alternative local U(1)_{B-L} extension of neutrinophilic two Higgs doublet model. Our dark matter candidate can be stabilized due to charge assignment under the gauge symmetry without imposing extra discrete Z_2 symmetry and the relic density is obtained from an Z' boson exchanging process. Taking into account collider constraints on the Z' boson mass and coupling, we estimate the relic density.

Symposium on Applied Mathematical Programming and Modeling (APMOD93) Held in Budapest, Hungary on January 6-8, 1993. Volume of Extended Abstracts

DTIC Science & Technology

1993-01-08

rectangular ones. Therefore, symmetrical equivalent solutions go by group of four and will have the same cost. Figuret. Our B&B method will not create, study ...If group members will agree in the ranking of a subset of the alternatives (the top set of one, two, three, four -_.., alternatives), what changes...T., Szillery A. Spreadsheet-Based Model Building and Multiple Criteria Group Decision Support 49 Black, J.A., Seyed-Mosseini, S.M. Traffic Models for

Factors Influencing Resident Choice of Prosthodontic Residency Program.

PubMed

Wojnarwsky, Pandora Keala Lee; Wang, Yan; Shah, Kumar; Koka, Sreenivas

2017-06-01

The decision by prosthodontic residency program directors to employ the Match process highlights the need to understand applicant priorities that influence their choice of which programs to rank highly. The purpose of this study is to determine the factors that were most important to residents when choosing from among nonmilitary based prosthodontics dental residency programs in the United States. Following completion of a pilot study, all currently enrolled prosthodontic residents at nonmilitary residency programs were invited to participate via the internet. The study consisted of a survey instrument asking residents to rank 26 possible factors that might impact an applicant's choice of residency program. In addition, the instrument collected other possible influencing variables including gender and debt load. Mean rank scores were compared to determine the most and least important factors. Kruskal-Wallis test was used to compare specific factors between the possible influencing variables. Two hundred and thirty residents completed the survey instrument, representing a 54.1% response rate of possible participants. With regard to factors influencing program choice, reputation of the residency program was the factor ranked the highest by participants, followed in descending order by the program director's personality, curriculum content, access to use of the latest digital technology, and opportunities for dental implant placement. Quality of schools for children, community outreach opportunities, and the ability to moonlight were ranked as the least important factors. Male and female residents ranked factors such as tuition/stipend, curriculum content, and community outreach opportunities significantly differently. Depending on debt load, residents ranked the factors tuition/stipend, ability to moonlight, curriculum content, and safety of the area where the program is differently. Current prosthodontic residents valued the reputation of the program as the most important factor when applying to residency. Participant gender and debt load influence the factors chosen by residents as more or less important. These data will assist prosthodontic educators position their programs in the best possible light to attract applicants to their programs. © 2017 by the American College of Prosthodontists.

Ranking metrics in gene set enrichment analysis: do they matter?

PubMed

Zyla, Joanna; Marczyk, Michal; Weiner, January; Polanska, Joanna

2017-05-12

There exist many methods for describing the complex relation between changes of gene expression in molecular pathways or gene ontologies under different experimental conditions. Among them, Gene Set Enrichment Analysis seems to be one of the most commonly used (over 10,000 citations). An important parameter, which could affect the final result, is the choice of a metric for the ranking of genes. Applying a default ranking metric may lead to poor results. In this work 28 benchmark data sets were used to evaluate the sensitivity and false positive rate of gene set analysis for 16 different ranking metrics including new proposals. Furthermore, the robustness of the chosen methods to sample size was tested. Using k-means clustering algorithm a group of four metrics with the highest performance in terms of overall sensitivity, overall false positive rate and computational load was established i.e. absolute value of Moderated Welch Test statistic, Minimum Significant Difference, absolute value of Signal-To-Noise ratio and Baumgartner-Weiss-Schindler test statistic. In case of false positive rate estimation, all selected ranking metrics were robust with respect to sample size. In case of sensitivity, the absolute value of Moderated Welch Test statistic and absolute value of Signal-To-Noise ratio gave stable results, while Baumgartner-Weiss-Schindler and Minimum Significant Difference showed better results for larger sample size. Finally, the Gene Set Enrichment Analysis method with all tested ranking metrics was parallelised and implemented in MATLAB, and is available at https://github.com/ZAEDPolSl/MrGSEA . Choosing a ranking metric in Gene Set Enrichment Analysis has critical impact on results of pathway enrichment analysis. The absolute value of Moderated Welch Test has the best overall sensitivity and Minimum Significant Difference has the best overall specificity of gene set analysis. When the number of non-normally distributed genes is high, using Baumgartner-Weiss-Schindler test statistic gives better outcomes. Also, it finds more enriched pathways than other tested metrics, which may induce new biological discoveries.

MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis.

PubMed

Yang, Wanqi; Gao, Yang; Shi, Yinghuan; Cao, Longbing

2015-11-01

Learning about multiview data involves many applications, such as video understanding, image classification, and social media. However, when the data dimension increases dramatically, it is important but very challenging to remove redundant features in multiview feature selection. In this paper, we propose a novel feature selection algorithm, multiview rank minimization-based Lasso (MRM-Lasso), which jointly utilizes Lasso for sparse feature selection and rank minimization for learning relevant patterns across views. Instead of simply integrating multiple Lasso from view level, we focus on the performance of sample-level (sample significance) and introduce pattern-specific weights into MRM-Lasso. The weights are utilized to measure the contribution of each sample to the labels in the current view. In addition, the latent correlation across different views is successfully captured by learning a low-rank matrix consisting of pattern-specific weights. The alternating direction method of multipliers is applied to optimize the proposed MRM-Lasso. Experiments on four real-life data sets show that features selected by MRM-Lasso have better multiview classification performance than the baselines. Moreover, pattern-specific weights are demonstrated to be significant for learning about multiview data, compared with view-specific weights.

Adaptive linear rank tests for eQTL studies

PubMed Central

Szymczak, Silke; Scheinhardt, Markus O.; Zeller, Tanja; Wild, Philipp S.; Blankenberg, Stefan; Ziegler, Andreas

2013-01-01

Expression quantitative trait loci (eQTL) studies are performed to identify single-nucleotide polymorphisms that modify average expression values of genes, proteins, or metabolites, depending on the genotype. As expression values are often not normally distributed, statistical methods for eQTL studies should be valid and powerful in these situations. Adaptive tests are promising alternatives to standard approaches, such as the analysis of variance or the Kruskal–Wallis test. In a two-stage procedure, skewness and tail length of the distributions are estimated and used to select one of several linear rank tests. In this study, we compare two adaptive tests that were proposed in the literature using extensive Monte Carlo simulations of a wide range of different symmetric and skewed distributions. We derive a new adaptive test that combines the advantages of both literature-based approaches. The new test does not require the user to specify a distribution. It is slightly less powerful than the locally most powerful rank test for the correct distribution and at least as powerful as the maximin efficiency robust rank test. We illustrate the application of all tests using two examples from different eQTL studies. PMID:22933317

Adaptive linear rank tests for eQTL studies.

PubMed

Szymczak, Silke; Scheinhardt, Markus O; Zeller, Tanja; Wild, Philipp S; Blankenberg, Stefan; Ziegler, Andreas

2013-02-10

Expression quantitative trait loci (eQTL) studies are performed to identify single-nucleotide polymorphisms that modify average expression values of genes, proteins, or metabolites, depending on the genotype. As expression values are often not normally distributed, statistical methods for eQTL studies should be valid and powerful in these situations. Adaptive tests are promising alternatives to standard approaches, such as the analysis of variance or the Kruskal-Wallis test. In a two-stage procedure, skewness and tail length of the distributions are estimated and used to select one of several linear rank tests. In this study, we compare two adaptive tests that were proposed in the literature using extensive Monte Carlo simulations of a wide range of different symmetric and skewed distributions. We derive a new adaptive test that combines the advantages of both literature-based approaches. The new test does not require the user to specify a distribution. It is slightly less powerful than the locally most powerful rank test for the correct distribution and at least as powerful as the maximin efficiency robust rank test. We illustrate the application of all tests using two examples from different eQTL studies. Copyright © 2012 John Wiley & Sons, Ltd.

Robust Covariate-Adjusted Log-Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

PubMed Central

Song, Rui; Kosorok, Michael R.; Cai, Jianwen

2009-01-01

Summary Recurrent events data are frequently encountered in clinical trials. This article develops robust covariate-adjusted log-rank statistics applied to recurrent events data with arbitrary numbers of events under independent censoring and the corresponding sample size formula. The proposed log-rank tests are robust with respect to different data-generating processes and are adjusted for predictive covariates. It reduces to the Kong and Slud (1997, Biometrika 84, 847–862) setting in the case of a single event. The sample size formula is derived based on the asymptotic normality of the covariate-adjusted log-rank statistics under certain local alternatives and a working model for baseline covariates in the recurrent event data context. When the effect size is small and the baseline covariates do not contain significant information about event times, it reduces to the same form as that of Schoenfeld (1983, Biometrics 39, 499–503) for cases of a single event or independent event times within a subject. We carry out simulations to study the control of type I error and the comparison of powers between several methods in finite samples. The proposed sample size formula is illustrated using data from an rhDNase study. PMID:18162107

Background recovery via motion-based robust principal component analysis with matrix factorization

NASA Astrophysics Data System (ADS)

Pan, Peng; Wang, Yongli; Zhou, Mingyuan; Sun, Zhipeng; He, Guoping

2018-03-01

Background recovery is a key technique in video analysis, but it still suffers from many challenges, such as camouflage, lighting changes, and diverse types of image noise. Robust principal component analysis (RPCA), which aims to recover a low-rank matrix and a sparse matrix, is a general framework for background recovery. The nuclear norm is widely used as a convex surrogate for the rank function in RPCA, which requires computing the singular value decomposition (SVD), a task that is increasingly costly as matrix sizes and ranks increase. However, matrix factorization greatly reduces the dimension of the matrix for which the SVD must be computed. Motion information has been shown to improve low-rank matrix recovery in RPCA, but this method still finds it difficult to handle original video data sets because of its batch-mode formulation and implementation. Hence, in this paper, we propose a motion-assisted RPCA model with matrix factorization (FM-RPCA) for background recovery. Moreover, an efficient linear alternating direction method of multipliers with a matrix factorization (FL-ADM) algorithm is designed for solving the proposed FM-RPCA model. Experimental results illustrate that the method provides stable results and is more efficient than the current state-of-the-art algorithms.

Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction

NASA Astrophysics Data System (ADS)

Niu, Shanzhou; Yu, Gaohang; Ma, Jianhua; Wang, Jing

2018-02-01

Spectral computed tomography (CT) has been a promising technique in research and clinics because of its ability to produce improved energy resolution images with narrow energy bins. However, the narrow energy bin image is often affected by serious quantum noise because of the limited number of photons used in the corresponding energy bin. To address this problem, we present an iterative reconstruction method for spectral CT using nonlocal low-rank and sparse matrix decomposition (NLSMD), which exploits the self-similarity of patches that are collected in multi-energy images. Specifically, each set of patches can be decomposed into a low-rank component and a sparse component, and the low-rank component represents the stationary background over different energy bins, while the sparse component represents the rest of the different spectral features in individual energy bins. Subsequently, an effective alternating optimization algorithm was developed to minimize the associated objective function. To validate and evaluate the NLSMD method, qualitative and quantitative studies were conducted by using simulated and real spectral CT data. Experimental results show that the NLSMD method improves spectral CT images in terms of noise reduction, artifact suppression and resolution preservation.

On comparison of net survival curves.

PubMed

Pavlič, Klemen; Perme, Maja Pohar

2017-05-02

Relative survival analysis is a subfield of survival analysis where competing risks data are observed, but the causes of death are unknown. A first step in the analysis of such data is usually the estimation of a net survival curve, possibly followed by regression modelling. Recently, a log-rank type test for comparison of net survival curves has been introduced and the goal of this paper is to explore its properties and put this methodological advance into the context of the field. We build on the association between the log-rank test and the univariate or stratified Cox model and show the analogy in the relative survival setting. We study the properties of the methods using both the theoretical arguments as well as simulations. We provide an R function to enable practical usage of the log-rank type test. Both the log-rank type test and its model alternatives perform satisfactory under the null, even if the correlation between their p-values is rather low, implying that both approaches cannot be used simultaneously. The stratified version has a higher power in case of non-homogeneous hazards, but also carries a different interpretation. The log-rank type test and its stratified version can be interpreted in the same way as the results of an analogous semi-parametric additive regression model despite the fact that no direct theoretical link can be established between the test statistics.

Functional form and risk adjustment of hospital costs: Bayesian analysis of a Box-Cox random coefficients model.

PubMed

Hollenbeak, Christopher S

2005-10-15

While risk-adjusted outcomes are often used to compare the performance of hospitals and physicians, the most appropriate functional form for the risk adjustment process is not always obvious for continuous outcomes such as costs. Semi-log models are used most often to correct skewness in cost data, but there has been limited research to determine whether the log transformation is sufficient or whether another transformation is more appropriate. This study explores the most appropriate functional form for risk-adjusting the cost of coronary artery bypass graft (CABG) surgery. Data included patients undergoing CABG surgery at four hospitals in the midwest and were fit to a Box-Cox model with random coefficients (BCRC) using Markov chain Monte Carlo methods. Marginal likelihoods and Bayes factors were computed to perform model comparison of alternative model specifications. Rankings of hospital performance were created from the simulation output and the rankings produced by Bayesian estimates were compared to rankings produced by standard models fit using classical methods. Results suggest that, for these data, the most appropriate functional form is not logarithmic, but corresponds to a Box-Cox transformation of -1. Furthermore, Bayes factors overwhelmingly rejected the natural log transformation. However, the hospital ranking induced by the BCRC model was not different from the ranking produced by maximum likelihood estimates of either the linear or semi-log model. Copyright (c) 2005 John Wiley & Sons, Ltd.

An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems.

PubMed

Bravi, Luca; Piccialli, Veronica; Sciandrone, Marco

2017-04-01

In this paper, we consider the feature ranking problem, where, given a set of training instances, the task is to associate a score with the features in order to assess their relevance. Feature ranking is a very important tool for decision support systems, and may be used as an auxiliary step of feature selection to reduce the high dimensionality of real-world data. We focus on regression problems by assuming that the process underlying the generated data can be approximated by a continuous function (for instance, a feedforward neural network). We formally state the notion of relevance of a feature by introducing a minimum zero-norm inversion problem of a neural network, which is a nonsmooth, constrained optimization problem. We employ a concave approximation of the zero-norm function, and we define a smooth, global optimization problem to be solved in order to assess the relevance of the features. We present the new feature ranking method based on the solution of instances of the global optimization problem depending on the available training data. Computational experiments on both artificial and real data sets are performed, and point out that the proposed feature ranking method is a valid alternative to existing methods in terms of effectiveness. The obtained results also show that the method is costly in terms of CPU time, and this may be a limitation in the solution of large-dimensional problems.

Patent eligibility of stem cells in Europe: where do we stand after 8 years of case law?

PubMed

Storz, Ulrich; Faltus, Timo

2017-01-01

Since 2006, some of the highest ranking European Courts have issued decisions related to the patent eligibility of human embryonic stem cells. The question of patent eligibility of human embryonic stem cells remains, however, still erratic, at least in some aspects. This article will give a short comprehensive overview of the case history, and discuss questions still unsolved.

Pipeline to Pathways: New Directions for Improving the Status of Women on Campus

ERIC Educational Resources Information Center

White, Judith S.

2005-01-01

For the past thirty years, much of the effort to improve the status of women in higher education has focused on the so-called "pipeline" theory, which held that a large number of women undergraduates and graduate students would, over time, yield larger numbers of women at the highest academic ranks. In other words, getting more women into college,…

40 CFR Appendix N to Part 50 - Interpretation of the National Ambient Air Quality Standards for PM2.5

Code of Federal Regulations, 2010 CFR

2010-07-01

... values in the composite site record are used in annual mean and 98th percentile calculations, however... highest to the lowest number. Using the left column of table 1, determine the appropriate range (i.e., row... column identifies the rank of the annual 98th percentile value in the descending sorted list of daily...

40 CFR Appendix N to Part 50 - Interpretation of the National Ambient Air Quality Standards for PM2.5

Code of Federal Regulations, 2011 CFR

2011-07-01

... values in the composite site record are used in annual mean and 98th percentile calculations, however... highest to the lowest number. Using the left column of table 1, determine the appropriate range (i.e., row... column identifies the rank of the annual 98th percentile value in the descending sorted list of daily...