Joint Report of Peer Review Panel for Numeric Nutrient Criteria for the Great Bay Estuary New Hampshire Department of Environmental Services June, 2009

This peer review was authorized through a collaborative agreement sponsored by the New Hampshire Department of Environmental Services (DES) and the Cities of Dover, Rochester and Portsmouth, New Hampshire. The purpose was to conduct an independent scientific peer review of the document entitled, “Numeric Nutrient Criteria for the Great Bay Estuary,” dated June, 2009 (DES 2009 Report)

Developing a New Poverty Line for the USA: Are There Lessons for India?

This paper reviews a procedure that is being followed in the United States of America (USA) to experimentally test and evaluate recommendations made for redefining poverty measurement in that country. The recommendations were made in 1995 by the US National Academy of Sciences (NAS) Panel on poverty measurement. In this paper these recommendations are reviewed and the impact of implementing the recommendations on measures of inequality and poverty are examined. In conclusion, a discussion concerning possible lessons for India is provided. The recommended poverty measure (based on new measures of thresholds and resources) is examined in terms of its impact on inequality statistics, as well as poverty statistics, and results are compared to similar statistics based on the official measure. The standard Gini index, and three generalized entropy inequality measures are used to examine inequality. For the poverty analysis simple head count ratios, poverty gaps, and Foster-Greer-Thorbecke poverty measures are computed. Data from the 1991 U.S. Consumer Expenditure Survey (CE) Interview are used to produce the thresholds, and data from the 1992 through 1997 Current Population Survey (CPS), and in some analyzes, the 1991 panel of the Survey of Income and Program Participation (SIPP), are used to define resources. The proposed measure produces a distribution of resources that is, in general, more equal than is the distribution of official income. The poverty analysis reveals that changes in the poverty rates based on the official and the experimental measures are similar over time. However, poverty as measured by the NAS measure is greater than official poverty. The experimental poverty measure yields a poverty population that looks slightly more like the total U.S. population in terms of various demographic and socioeconomic characteristics than does the current official measure. Geographically adjusting the thresholds results in greater equality and lower poverty rates than when non-adjusted thresholds are used. With regard to India, poverty measurement is likely not to be based on income and expenditures primarily. Alternative measures based on other needs and resources are reviewed. However, regardless of the measure used, systematic evaluations of the measure are necessary and the USA model may be one to consider in this evaluation process.poverty, Consumer Expenditure Survey, India

Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the base of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution route with and without carbon emissions cost are constructed, and fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, the path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit

Tracking Meteoroids in the Atmosphere: Fireball Trajectory Analysis

This thesis improves and develops algorithms for fireball trajectory analysis. Stochastic estimators outside the current field of fireball modelling have been applied, from Kalman filters to 3D particle filters. These techniques are fully automated and rigorously incorporate errors, providing a means to routinely analyse fireball data in an unbiased manner

Comparing alternating pressure mattresses and high-specification foam mattresses to prevent pressure ulcers in high-risk patients: the PRESSURE 2 RCT

Background: Pressure ulcers (PUs) are a burden to patients, carers and health-care providers. Specialist mattresses minimise the intensity and duration of pressure on vulnerable skin sites in at-risk patients. Primary objective: Time to developing a new PU of category ≥ 2 in patients using an alternating pressure mattress (APM) compared with a high-specification foam mattress (HSFM). Design: A multicentre, Phase III, open, prospective, planned as an adaptive double-triangular group sequential, parallel-group, randomised controlled trial with an a priori sample size of 2954 participants. Randomisation used minimisation (incorporating a random element). Setting: The trial was set in 42 secondary and community inpatient facilities in the UK. Participants: Adult inpatients with evidence of acute illness and at a high risk of PU development. Interventions and follow-up: APM or HSFM – the treatment phase lasted a maximum of 60 days; the final 30 days were post-treatment follow-up. Main outcome measures: Time to event. Results: From August 2013 to November 2016, 2029 participants were randomised to receive either APM (n = 1016) or HSFM (n = 1013). Primary end point – 30-day final follow-up: of the 2029 participants in the intention-to-treat population, 160 (7.9%) developed a new PU of category ≥ 2. There was insufficient evidence of a difference between groups for time to new PU of category ≥ 2 [Fine and Gray model HR 0.76, 95% confidence interval (CI) 0.56 to 1.04; exact p-value of 0.0890 and 2% absolute difference]. Treatment phase sensitivity analysis: 132 (6.5%) participants developed a new PU of category ≥ 2 between randomisation and end of treatment phase. There was a statistically significant difference in the treatment phase time-to-event sensitivity analysis (Fine and Gray model HR 0.66, 95% CI 0.46 to 0.93; p = 0.0176 and 2.6% absolute difference). Secondary end points – 30-day final follow-up: new PUs of category ≥ 1 developed in 350 (17.2%) participants, with no evidence of a difference between mattress groups in time to PU development, (Fine and Gray model HR 0.83, 95% CI 0.67 to 1.02; p-value = 0.0733 and absolute difference 3.1%). New PUs of category ≥ 3 developed in 32 (1.6%) participants with insufficient evidence of a difference between mattress groups in time to PU development (Fine and Gray model HR 0.81, 95% CI 0.40 to 1.62; p = 0.5530 and absolute difference 0.4%). Of the 145 pre-existing PUs of category 2, 89 (61.4%) healed – there was insufficient evidence of a difference in time to healing (Fine and Gray model HR 1.12, 95% CI 0.74 to 1.68; p = 0.6122 and absolute difference 2.9%). Health economics – the within-trial and long-term analysis showed APM to be cost-effective compared with HSFM; however, the difference in costs models are small and the quality-adjusted life-year gains are very small. There were no safety concerns. Blinded photography substudy – the reliability of central blinded review compared with clinical assessment for PUs of category ≥ 2 was ‘very good’ (kappa statistic 0.82, prevalence- and bias-adjusted kappa 0.82). Quality-of-life substudy – the Pressure Ulcer Quality of Life – Prevention (PU-QoL-P) instrument meets the established criteria for reliability, construct validity and responsiveness. Limitations: A lower than anticipated event rate. Conclusions: In acutely ill inpatients who are bedfast/chairfast and/or have a category 1 PU and/or localised skin pain, APMs confer a small treatment phase benefit that is diminished over time. Overall, the APM patient compliance, very low PU incidence rate observed and small differences between mattresses indicate the need for improved indicators for targeting of APMs and individualised decision-making. Decisions should take into account skin status, patient preferences (movement ability and rehabilitation needs) and the presence of factors that may be potentially modifiable through APM allocation, including being completely immobile, having nutritional deficits, lacking capacity and/or having altered skin/category 1 PU. Future work: Explore the relationship between mental capacity, levels of independent movement, repositioning and PU development. Explore ‘what works for whom and in what circumstances’. Trial registration: Current Controlled Trials ISRCTN01151335. Funding: This project was funded by the National Institute for Health Research Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 52. See the NIHR Journals Library website for further project information

Estado crítico de la investigación en la psicología ecuatoriana: el abandono de la estadística como base de la producción científica

This article reports a study that analyzed the role of statistics in the scientific production of Ecuadorian psychology based on a mixed methodology study. The sample included 410 participants (students and professionals of different cities of Ecuador). The findings on the quantitative phase included that liking and mastering statistical processes increase the probability of publishing a scientific article. Moreover, when negative belief variables and anxiety related to statistics have a higher score, the mastery of statistical processes and its use for the job of the psychologist decrease. On the qualitative phase, a significance emerged that allowed to better understand quantitative data, and to develop categories on statistics erroneous' believes, procedures, a negative predisposition towards learning statistics and others. The paper concludes by analyzing the scientific reality of Ecuadorian psychology and the need to carry out longitudinal research where it will be possible to restructure subjective constructions on the role of statistics in psychology

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

Many analyses of neuroimaging data involve studying one or more regions of interest (ROIs) in a brain image. In order to do so, each ROI must first be identified. Since every brain is unique, the location, size, and shape of each ROI varies across subjects. Thus, each ROI in a brain image must either be manually identified or (semi-) automatically delineated, a task referred to as segmentation. Automatic segmentation often involves mapping a previously manually segmented image to a new brain image and propagating the labels to obtain an estimate of where each ROI is located in the new image. A more recent approach to this problem is to propagate labels from multiple manually segmented atlases and combine the results using a process known as label fusion. To date, most label fusion algorithms either employ voting procedures or impose prior structure and subsequently find the maximum a posteriori estimator (i.e., the posterior mode) through optimization. We propose using a fully Bayesian spatial regression model for label fusion that facilitates direct incorporation of covariate information while making accessible the entire posterior distribution. We discuss the implementation of our model via Markov chain Monte Carlo and illustrate the procedure through both simulation and application to segmentation of the hippocampus, an anatomical structure known to be associated with Alzheimer's disease.Comment: 24 pages, 10 figure

The Robust Learning Model with a Spiral Curriculum: Implications for the Educational Effectiveness of Online Master Degree Programs

This study integrated the Spiral Curriculum approach into the Robust Learning Model as part of a continuous improvement process that was designed to improve educational effectiveness and then assessed the differences between the initial and integrated models as well as the predictability of the first course in the integrated learning model on a wide range of educational effectiveness indicators for online master degree programs. Meaningful improvement in educational effectiveness was validated by the study. The importance of the first course\u27s predictors in predicting and explaining the various degree program educational effectiveness indicators was also very instrumental. The theoretical and practical implications of the study\u27s findings for online faculty, university administrators, and policy makers were examined