Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks

International Nuclear Information System (INIS)

Li Qiong; Meng Qinglin; Cai Jiejin; Yoshino, Hiroshi; Mochida, Akashi

2009-01-01

This study presents four modeling techniques for the prediction of hourly cooling load in the building. In addition to the traditional back propagation neural network (BPNN), the radial basis function neural network (RBFNN), general regression neural network (GRNN) and support vector machine (SVM) are considered. All the prediction models have been applied to an office building in Guangzhou, China. Evaluation of the prediction accuracy of the four models is based on the root mean square error (RMSE) and mean relative error (MRE). The simulation results demonstrate that the four discussed models can be effective for building cooling load prediction. The SVM and GRNN methods can achieve better accuracy and generalization than the BPNN and RBFNN methods

Ability of a 5-minute electrocardiography (ECG) for predicting arrhythmias in Doberman Pinschers with cardiomyopathy in comparison with a 24-hour ambulatory ECG.

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Wess, G; Schulze, A; Geraghty, N; Hartmann, K

2010-01-01

Ventricular premature contractions (VPCs) are common in the occult stage of cardiomyopathy in Doberman Pinschers. Although the gold standard for detecting arrhythmia is the 24-hour ambulatory electrocardiography (ECG) (Holter), this method is more expensive, time-consuming and often not as readily available as common ECG. Comparison of 5-minute ECGs with Holter examinations. Eight hundred and seventy-five 5-minute ECGs and Holter examinations of 431 Doberman Pinschers. Each examination included a 5-minute ECG and Holter examination. A cut-off value of > 100 VPCs/24 hours using Holter was considered diagnostic for the presence of cardiomyopathy. Statistical evaluation included calculation of sensitivity, specificity, positive predictive value, and negative predictive value. Holter examinations revealed > 100 VPCs/24 hours in 204/875 examinations. At least 1 VPC during a 5-minute ECG was detected in 131 (64.2%) of these 204 examinations. No VPCs were found in the 5-minute ECG in 73 (35.8%) examinations of affected Doberman Pinschers. A 5-minute ECG with at least 1 VPC as cut-off had a sensitivity of 64.2%, a specificity of 96.7%, a positive predictive value of 85.6% and a negative predictive value of 89.9% for the presence of > 100 VPCs/24 hours. A 5-minute ECG is a rather insensitive method for detecting arrhythmias in Doberman Pinschers. However, the occurrence of at least 1 VPC in 5 minutes strongly warrants further examination of the dog, because specificity (96.7%) and positive predictive value (85.6%) are high and could suggest occult cardiomyopathy.

Personal best marathon time and longest training run, not anthropometry, predict performance in recreational 24-hour ultrarunners.

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Knechtle, Beat; Knechtle, Patrizia; Rosemann, Thomas; Lepers, Romuald

2011-08-01

In recent studies, a relationship between both low body fat and low thicknesses of selected skinfolds has been demonstrated for running performance of distances from 100 m to the marathon but not in ultramarathon. We investigated the association of anthropometric and training characteristics with race performance in 63 male recreational ultrarunners in a 24-hour run using bi and multivariate analysis. The athletes achieved an average distance of 146.1 (43.1) km. In the bivariate analysis, body mass (r = -0.25), the sum of 9 skinfolds (r = -0.32), the sum of upper body skinfolds (r = -0.34), body fat percentage (r = -0.32), weekly kilometers ran (r = 0.31), longest training session before the 24-hour run (r = 0.56), and personal best marathon time (r = -0.58) were related to race performance. Stepwise multiple regression showed that both the longest training session before the 24-hour run (p = 0.0013) and the personal best marathon time (p = 0.0015) had the best correlation with race performance. Performance in these 24-hour runners may be predicted (r2 = 0.46) by the following equation: Performance in a 24-hour run, km) = 234.7 + 0.481 (longest training session before the 24-hour run, km) - 0.594 (personal best marathon time, minutes). For practical applications, training variables such as volume and intensity were associated with performance but not anthropometric variables. To achieve maximum kilometers in a 24-hour run, recreational ultrarunners should have a personal best marathon time of ∼3 hours 20 minutes and complete a long training run of ∼60 km before the race, whereas anthropometric characteristics such as low body fat or low skinfold thicknesses showed no association with performance.

Twenty-Four-Hour Central Pulse Pressure for Cardiovascular Events Prediction in a Low-Cardiovascular-Risk Population: Results From the Bordeaux Cohort.

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Cremer, Antoine; Boulestreau, Romain; Gaillard, Prune; Lainé, Marion; Papaioannou, Georgios; Gosse, Philippe

2018-02-23

Central blood pressure (BP) is a promising marker to identify subjects with higher cardiovascular risk than expected by traditional risk factors. Significant results have been obtained in populations with high cardiovascular risk, but little is known about low-cardiovascular-risk patients, although the differences between central and peripheral BP (amplification) are usually greater in this population. The study aim was to evaluate central BP over 24 hours for cardiovascular event prediction in hypertensive subjects with low cardiovascular risk. Peripheral and central BPs were recorded during clinical visits and over 24 hours in hypertensive patients with low cardiovascular risk (Systematic Coronary Risk Evaluation ≤5%). Our primary end point is the occurrence of a cardiovascular event during follow-up. To assess the potential interest in central pulse pressure over 24 hours, we performed Cox proportional hazard models analysis and comparison of area under the curves using the contrast test for peripheral and central BP. A cohort of 703 hypertensive subjects from Bordeaux were included. After the first 24 hours of BP measurement, the subjects were then followed up for an average of 112.5±70 months. We recorded 65 cardiovascular events during follow-up. Amplification was found to be significantly associated with cardiovascular events when added to peripheral 24-hour pulse pressure ( P =0.0259). The area under the curve of 24-hour central pulse pressure is significantly more important than area under the curve of office BP ( P =0.0296), and there is a trend of superiority with the area under the curve of peripheral 24-hour pulse pressure. Central pulse pressure over 24 hours improves the prediction of cardiovascular events for hypertensive patients with low cardiovascular risk compared to peripheral pulse pressure. © 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Both semiquantitative degree of rest Tl-201 uptake and reversibility at 24 hour-delay were needed to predict wall motion improvement after bypass surgery

International Nuclear Information System (INIS)

Lee, D. S.; Yoon, S. N.; Kim, K. B.; Jeong, Z. K.; Lee, M. C.; Ko, C. S.

1997-01-01

Controversy still exists about how to use the uptake at rest and 24 hour delay in rest redistribution Tl-201 SPECT to predict improvement of wall motion abnormality after bypass surgery. To find the best way to combine diagnostic efficacy of Tl-201 SPECT to predict myocardial viability, we studied the predictive values (positive: PPV, negative: NPV) of rest and 24 hour-delay Tl-201 SPECT in 21 patients. Wall motion was assessed comparing preoperative post-stress gated Tc-99m-MIBI SPECT with that of 3 months after surgery. Four point scoring system was used for 17 myocardial segments to asses uptakes ( 0 to 3 for normal to defect) at rest and 24 hour-delay and wall motion ( 0 to 3 for normal to dyskinesia). Ejection fraction improved after surgery (5011% vs 4313%). Intra-observer and inter-observer reproducibility of EF was 7 and 9% respectively when we used 3D Perfusion-Motion Map. Sixty seven segments showed wall motion abnormality before surgery. Predictive values of rest Tl-201 uptake decrease were as follows: 0: 15/15(100%), 1: 30/34(88%), 2: 6/11 (55%), 3: 3/7(43%). So PPV of mild decrease was 88%, and NPV of severe decrease was 50%. Delayed reversibility was evaluated in 37 segments (15 patients). Twenty seven segment had persistence or aggravation, but the other 10 segments improved at 24 hour delay. PPV of reversible 10 segments was 80%, and NPV of reversibility was only 46%. PPV of combination of rest Tl-201 uptake of mild degree and 24 hour reversibility was 86% (38/44) and NPV of neither one was 88%. We concluded that both semi-quantitative degree of Tl-201 uptake at rest and reversibility at 24 hour delay was the best to warrant or abandon postoperative improvement of abnormal wall motion found at preoperative post-stress gated myocardial SPECT

Addressing Common Cloud-Radiation Errors from 4-hour to 4-week Model Prediction

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Benjamin, S.; Sun, S.; Grell, G. A.; Green, B.; Olson, J.; Kenyon, J.; James, E.; Smirnova, T. G.; Brown, J. M.

2017-12-01

Cloud-radiation representation in models for subgrid-scale clouds is a known gap from subseasonal-to-seasonal models down to storm-scale models applied for forecast duration of only a few hours. NOAA/ESRL has been applying common physical parameterizations for scale-aware deep/shallow convection and boundary-layer mixing over this wide range of time and spatial scales, with some progress to be reported in this presentation. The Grell-Freitas scheme (2014, Atmos. Chem. Phys.) and MYNN boundary-layer EDMF scheme (Olson / Benjamin et al. 2016 Mon. Wea. Rev.) have been applied and tested extensively for the NOAA hourly updated 3-km High-Resolution Rapid Refresh (HRRR) and 13-km Rapid Refresh (RAP) model/assimilation systems over the United States and North America, with targeting toward improvement to boundary-layer evolution and cloud-radiation representation in all seasons. This representation is critical for both warm-season severe convective storm forecasting and for winter-storm prediction of snow and mixed precipitation. At the same time the Grell-Freitas scheme has been applied also as an option for subseasonal forecasting toward improved US week 3-4 prediction with the FIM-HYCOM coupled model (Green et al 2017, MWR). Cloud/radiation evaluation using CERES satellite-based estimates have been applied to both 12-h RAP (13km) and also during Weeks 1-4 from 32-day FIM-HYCOM (60km) forecasts. Initial results reveal that improved cloud representation is needed for both resolutions and now is guiding further refinement for cloud representation including with the Grell-Freitas scheme and with the updated MYNN-EDMF scheme (both now also in global testing as well as with the 3km HRRR and 13km RAP models).

The role of conspiracist ideation and worldviews in predicting rejection of science.

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Stephan Lewandowsky

Full Text Available Among American Conservatives, but not Liberals, trust in science has been declining since the 1970's. Climate science has become particularly polarized, with Conservatives being more likely than Liberals to reject the notion that greenhouse gas emissions are warming the globe. Conversely, opposition to genetically-modified (GM foods and vaccinations is often ascribed to the political Left although reliable data are lacking. There are also growing indications that rejection of science is suffused by conspiracist ideation, that is the general tendency to endorse conspiracy theories including the specific beliefs that inconvenient scientific findings constitute a "hoax."We conducted a propensity weighted internet-panel survey of the U.S. population and show that conservatism and free-market worldview strongly predict rejection of climate science, in contrast to their weaker and opposing effects on acceptance of vaccinations. The two worldview variables do not predict opposition to GM. Conspiracist ideation, by contrast, predicts rejection of all three scientific propositions, albeit to greatly varying extents. Greater endorsement of a diverse set of conspiracy theories predicts opposition to GM foods, vaccinations, and climate science.Free-market worldviews are an important predictor of the rejection of scientific findings that have potential regulatory implications, such as climate science, but not necessarily of other scientific issues. Conspiracist ideation, by contrast, is associated with the rejection of all scientific propositions tested. We highlight the manifold cognitive reasons why conspiracist ideation would stand in opposition to the scientific method. The involvement of conspiracist ideation in the rejection of science has implications for science communicators.

Relationship between memory and prediction of emotions towards sciences by pre-service teachers

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Ana-Belén Borrachero

2016-01-01

Full Text Available Different studies show the need to study the affective domain (beliefs, attitudes and emotions in the teaching / learning of science, as it has been justified to the development of positive attitudes, through the promotion of positive emotions and feelings facilitate a change in expectations and beliefs about the subject, avoiding the removal of students to the scientific field. With this research we intend to find out what emotions the future teacher remember experiencing as science students and what emotions they predict experience in teaching of science content in their teaching practices, in order to find a relationship between memory and prediction of their emotions in science. The sample consists of 83 students of the Master's Degree in Teacher Training in Secondary Education of the University of Extremadura, enrolled in three specialties offered by the branch of science: Biology/Geology, Physics/Chemistry and Mathematics. The results indicate that the emotions they experience as science students of Secondary Education (Biology, Geology, Physics, Chemistry and Mathematics are mainly positive, like emotions predict in their teaching practices. In addition, no significant differences when comparing the emotions experienced in the science subjects between memory and prediction. This last fact leads us to affirm that teaching of science content cause them the same emotions that they experienced as students of science, that is, your emotions as students have been transferred to his work as teacher.

A new approach for evaluating flexible working hours.

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Giebel, Ole; Janssen, Daniela; Schomann, Carsten; Nachreiner, Friedhelm

2004-01-01

Recent studies on flexible working hours show at least some of these working time arrangements seem to be associated with impairing effects of health and well-being. According to available evidence, variability of working hours seems to play an important role. The question, however, is how this variability can be assessed and used to explain or predict impairments. Based on earlier methods used to assess shift-work effects, a time series analysis approach was applied to the matter of flexible working hours. Data on the working hours of 4 week's length of 137 respondents derived from a survey on flexible work hours involving 15 companies of different production and service sectors in Germany were converted to time series and analyzed by spectral analysis. A cluster analysis of the resulting power spectra yielded 5 clusters of flexible work hours. Analyzing these clusters for differences in reported impairments showed that workers who showed suppression of circadian and weekly rhythms experienced severest impairments, especially in circadian controlled functions like sleep and digestion. The results thus indicate that analyzing the periodicity of flexible working hours seems to be a promising approach for predicting impairments which should be investigated further in the future.

Correlation of 2 hour, 4 hour, 8 hour and 12 hour urine protein with 24 hour urinary protein in preeclampsia.

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Savita Rani Singhal

2014-09-01

Full Text Available To find shortest and reliable time period of urine collection for determination of proteinuria.It is a prospective study carried out on 125 pregnant women with preeclampsia after 20 weeks of gestation having urine albumin >1 using dipstick test. Urine was collected in five different time intervals in colors labeled containers with the assistance of nursing staff; the total collection time was 24 hours. Total urine protein of two-hour, four-hour, eight-hour, 12-hour and 24-hour urine was measured and compared with 24-hour collection. Data was analyzed using the Pearson correlation coefficient.There was significant correlation (p value < 0.01 in two, four, eight and 12-hour urine protein with 24-urine protein, with correlation coefficient of 0.97, 0.97, 0.96 and 0.97, respectively. When a cut off value of 25 mg, 50 mg. 100 mg, and 150 mg for urine protein were used for 2-hour, 4-hours, 8-hour and 12-hour urine collection, a sensitivity of 92.45%, 95.28%, 91.51%, and 96.23% and a specificity of 68.42%, 94.74%, 84.21% and 84.21% were obtained, respectively.Two-hour urine proteins can be used for assessment of proteinuria in preeclampsia instead of gold standard 24-hour urine collection for early diagnosis and better patient compliance.

“Hour of Code”: Can It Change Students’ Attitudes toward Programming?

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Hayden Wimmer

2016-03-01

Full Text Available The Hour of Code is a one-hour introduction to computer science organized by Code.org, a non-profit dedicated to expanding participation in computer science. This study investigated the impact of the Hour of Code on students’ attitudes towards computer programming and their knowledge of programming. A sample of undergraduate students from two universities was selected to participate. Participants completed an Hour of Code tutorial as part of an undergraduate course. An electronic questionnaire was implemented in a pre-survey and post-survey format to gauge the change in student attitudes toward programming and their programming ability. The findings indicated the positive impact of the Hour of Code tutorial on students’ attitude toward programming. However, the students’ programming skills did not significantly change. The authors suggest that a deeper alignment of marketing, teaching, and content would help sustain the type of initiative exemplified by the Hour of Code.

Do difficulties in accessing in-hours primary care predict higher use of out-of-hours GP services? Evidence from an English National Patient Survey.

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Zhou, Yin; Abel, Gary; Warren, Fiona; Roland, Martin; Campbell, John; Lyratzopoulos, Georgios

2015-05-01

It is believed that some patients are more likely to use out-of-hours primary care services because of difficulties in accessing in-hours care, but substantial evidence about any such association is missing. We analysed data from 567,049 respondents to the 2011/2012 English General Practice Patient Survey who reported at least one in-hours primary care consultation in the preceding 6 months. Of those respondents, 7% also reported using out-of-hours primary care. We used logistic regression to explore associations between use of out-of-hours primary care and five measures of in-hours access (ease of getting through on the telephone, ability to see a preferred general practitioner, ability to get an urgent or routine appointment and convenience of opening hours). We illustrated the potential for reduction in use of out-of-hours primary care in a model where access to in-hours care was made optimal. Worse in-hours access was associated with greater use of out-of-hours primary care for each access factor. In multivariable analysis adjusting for access and patient characteristic variables, worse access was independently associated with increased out-of-hours use for all measures except ease of telephone access. Assuming these associations were causal, we estimated that an 11% relative reduction in use of out-of-hours primary care services in England could be achievable if access to in-hours care were optimal. This secondary quantitative analysis provides evidence for an association between difficulty in accessing in-hours care and use of out-of-hours primary care services. The findings can motivate the development of interventions to improve in-hour access. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data

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Jothiprakash, V.; Magar, R. B.

2012-07-01

SummaryIn this study, artificial intelligent (AI) techniques such as artificial neural network (ANN), Adaptive neuro-fuzzy inference system (ANFIS) and Linear genetic programming (LGP) are used to predict daily and hourly multi-time-step ahead intermittent reservoir inflow. To illustrate the applicability of AI techniques, intermittent Koyna river watershed in Maharashtra, India is chosen as a case study. Based on the observed daily and hourly rainfall and reservoir inflow various types of time-series, cause-effect and combined models are developed with lumped and distributed input data. Further, the model performance was evaluated using various performance criteria. From the results, it is found that the performances of LGP models are found to be superior to ANN and ANFIS models especially in predicting the peak inflows for both daily and hourly time-step. A detailed comparison of the overall performance indicated that the combined input model (combination of rainfall and inflow) performed better in both lumped and distributed input data modelling. It was observed that the lumped input data models performed slightly better because; apart from reducing the noise in the data, the better techniques and their training approach, appropriate selection of network architecture, required inputs, and also training-testing ratios of the data set. The slight poor performance of distributed data is due to large variations and lesser number of observed values.

Stigma in science: the case of earthquake prediction.

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Joffe, Helene; Rossetto, Tiziana; Bradley, Caroline; O'Connor, Cliodhna

2018-01-01

This paper explores how earthquake scientists conceptualise earthquake prediction, particularly given the conviction of six earthquake scientists for manslaughter (subsequently overturned) on 22 October 2012 for having given inappropriate advice to the public prior to the L'Aquila earthquake of 6 April 2009. In the first study of its kind, semi-structured interviews were conducted with 17 earthquake scientists and the transcribed interviews were analysed thematically. The scientists primarily denigrated earthquake prediction, showing strong emotive responses and distancing themselves from earthquake 'prediction' in favour of 'forecasting'. Earthquake prediction was regarded as impossible and harmful. The stigmatisation of the subject is discussed in the light of research on boundary work and stigma in science. The evaluation reveals how mitigation becomes the more favoured endeavour, creating a normative environment that disadvantages those who continue to pursue earthquake prediction research. Recommendations are made for communication with the public on earthquake risk, with a focus on how scientists portray uncertainty. © 2018 The Author(s). Disasters © Overseas Development Institute, 2018.

Predicting Patients with Inadequate 24- or 48-Hour Urine Collections at Time of Metabolic Stone Evaluation.

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McGuire, Barry B; Bhanji, Yasin; Sharma, Vidit; Frainey, Brendan T; McClean, Megan; Dong, Caroline; Rimar, Kalen; Perry, Kent T; Nadler, Robert B

2015-06-01

We aimed to understand the characteristics of patients who are less likely to submit adequate urine collections at metabolic stone evaluation. Inadequate urine collection was defined using two definitions: (1) Reference ranges for 24-hour creatinine/kilogram (Cr/24) and (2) discrepancy in total 24-hour urine Cr between 24-hour urine collections. There were 1502 patients with ≥1 kidney stone between 1998 and 2014 who performed a 24- or 48-hour urine collection at Northwestern Memorial Hospital and who were identified retrospectively. Multivariate analysis was performed to analyze predictor variables for adequate urine collection. A total of 2852 urine collections were analyzed. Mean age for males was 54.4 years (range 17-86), and for females was 50.2 years (range 8-90). One patient in the study was younger than 17 years old. (1) Analysis based on the Cr 24/kg definition: There were 50.7% of patients who supplied an inadequate sample. Females were nearly 50% less likely to supply an adequate sample compared with men, Pcollections were achieved in 82.8%, 66.9%, 51.7%, 38.5%, and 26.4% of patients, respectively. Statistical significance was observed based on differences of ≥40%, and this was defined as the threshold for an inadequate sample. Female sex (OR 0.73 [0.54-0.98], P=0.037) predicted supplying inadequate samples. Adequate collections were more likely to be received on a Sunday (OR 1.6 [1.03-2.58], P=0.038) and by sedentary workers (OR 2.3 [1.12-4.72], P=0.023). Urine collections from patients during metabolic evaluation for nephrolithiasis may be considered inadequate based on two commonly used clinical definitions. This may have therapeutic or economic ramifications and the propensity for females to supply inadequate samples should be investigated further.

Forecasting Kp from solar wind data: input parameter study using 3-hour averages and 3-hour range values

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Wintoft, Peter; Wik, Magnus; Matzka, Jürgen; Shprits, Yuri

2017-11-01

We have developed neural network models that predict Kp from upstream solar wind data. We study the importance of various input parameters, starting with the magnetic component Bz, particle density n, and velocity V and then adding total field B and the By component. As we also notice a seasonal and UT variation in average Kp we include functions of day-of-year and UT. Finally, as Kp is a global representation of the maximum range of geomagnetic variation over 3-hour UT intervals we conclude that sudden changes in the solar wind can have a big effect on Kp, even though it is a 3-hour value. Therefore, 3-hour solar wind averages will not always appropriately represent the solar wind condition, and we introduce 3-hour maxima and minima values to some degree address this problem. We find that introducing total field B and 3-hour maxima and minima, derived from 1-minute solar wind data, have a great influence on the performance. Due to the low number of samples for high Kp values there can be considerable variation in predicted Kp for different networks with similar validation errors. We address this issue by using an ensemble of networks from which we use the median predicted Kp. The models (ensemble of networks) provide prediction lead times in the range 20-90 min given by the time it takes a solar wind structure to travel from L1 to Earth. Two models are implemented that can be run with real time data: (1) IRF-Kp-2017-h3 uses the 3-hour averages of the solar wind data and (2) IRF-Kp-2017 uses in addition to the averages, also the minima and maxima values. The IRF-Kp-2017 model has RMS error of 0.55 and linear correlation of 0.92 based on an independent test set with final Kp covering 2 years using ACE Level 2 data. The IRF-Kp-2017-h3 model has RMSE = 0.63 and correlation = 0.89. We also explore the errors when tested on another two-year period with real-time ACE data which gives RMSE = 0.59 for IRF-Kp-2017 and RMSE = 0.73 for IRF-Kp-2017-h3. The errors as function

Prediction of Hourly Particulate Matter Concentrations in Chiangmai, Thailand Using MODIS Aerosol Optical Depth and Ground-Based Meteorological Data

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Thongchai Kanabkaew

2013-07-01

Full Text Available Various extreme events recorded over the world have been recognized as scientific-based evidence from possible climate change and variability. The incidence of increasing forest fires and intensive agricultural field burning in Chiangmai and Northern Thailand due to favor conditions may also due to a likely increase of droughts caused by the changing climate. Smog from biomass burning, particularly particulate matter (PM seriously affects health and the environment. Lack and sparse of ground monitors may cause unreliability for warning information. Satellite remote sensing is now a promising technology for air quality prediction at ground level. This study was to investigate the statistical model for predicting PM concentration using satellite data. Aerosol optical depth (AOD data were gathered from MODIS-Terra platform while hourly PM2.5 and PM10 data were collected from the Pollution Control Department. The relationship between AOD and hourly PM over Chiangmai was addressed by Model I-Simple linear regression and Model II-Multiple linear regression with ground-based meteorological data correction. The data used for the statistical analyses were from smog period in 2012 (January-April. Results revealed that AOD and hourly PM in Model I were positively correlated with the coefficient of determination (R2 of 0.22 and 0.21, respectively for PM2.5 and PM10. The relationship between AOD and hourly PM was improved significantly when correcting with relative humidity and temperature data. The model II gave R2 of 0.77 and 0.71, respectively for PM2.5 and PM10. To investigate the validity of model, the regression equation obtained from Model II was then applied with smog data over Chiangmai in March 2007. The model performed reasonably with R2 of 0.74. The model applications would provide supplementary data to other areas with similar conditions and without air quality monitoring stations, and reduce false warning the level of air pollution associated

Predictive values of early rest/24 hour delay Tl-201 perfusion SPECT for wall motion improvement in patients with acute myocardial infarction after reperfusion

International Nuclear Information System (INIS)

Hyun, In Young; Kwan, June

1998-01-01

We studied early rest/24 hour delay Tl-201 perfusion SPECT for prediction of wall motion improvement after reperfusion in patients with acute myocardial infarction. Among 17 patients (male/female=11/6, age: 59±13) with acute myocardial infarction, 15 patients were treated with percutaneous transcoronary angioplasty (direct:2, delay:11) and intravenous urokinase (2). Spontaneous resolution occurred in infarct related arteries of 2 patients. We confirmed TIMI 3 flow of infarct-related artery after reperfusion in all patients with coronary angiography. We performed rest Tl-201 perfusion SPECT less then 6 hours after reperfusion and delay Tl-201 perfusion SPECT next day. Tl-201 uptake was visually graded as 4 point score from normal (0) to severe defect (3). Rest Tl-201 uptake ≤2 or combination of rest Tl-201 uptake ≤2 or late reversibility were considered to be viable. Myocardial wall motion was graded as 5 point score from normal (1) to dyskinesia (5). Myocardial wall motion was considered to be improved when a segment showed an improvement ≥1 grade in follow up echo compared with the baseline values. Among 98 segments with wall motion abnormality, the severity of myocardial wall motion decrease was as follow: mild hypokinesia: 18/98 (18%), severe hypokinesia: 28/98 (29%), akinesia: 51/98 (52%), dyskinesia: 1/98 (1%). The wall motion improved in 85%. Redistribution (13%), and reverse redistribution (4%) were observed in 24 hour delay SPECT. Positive predictive value (PPV) and negative predictive value (NPV) of combination of late reversibility and rest Tl-201uptake were 99%, and 54%.PPV and NPV of rest Tl-201 uptake were 100% and 52% respectively. Predictive values of comibination of rest Tl-201 uptake and late reversibility were not significantly different compared with predictive values of rest Tl-201 uptake only. We conclude that early Tl-201 perfusion SPECT predict myocardial wall motion improvement with excellent positive but relatively low negative

How many hours do you usually work? An analysis of the working hours questions in 26 large-scale surveys in 6 countries and the European Union.

NARCIS (Netherlands)

Dragstra, A.; Tijdens, K.

2004-01-01

This paper reviews how working hours are asked in 26 large-scale surveys in 6 countries plus the European Union. Four dimensions of working time were investigated, notably number of working hours, timing of work, predictability and control over hours, and commuting time. Although almost all

How many hours do you usually work? An analysis of the working hours questions in 26 large-scale surveys in six countries and the European Union

NARCIS (Netherlands)

Tijdens, K.; Dragstra, A.

2007-01-01

This article reviews how working hours are asked for in 26 large-scale surveys in six countries plus the European Union. Four dimensions of working time were investigated, notably number of working hours, timing of work, predictability and control over hours, and commuting time. Although almost all

Prediction of hourly solar radiation with multi-model framework

International Nuclear Information System (INIS)

Wu, Ji; Chan, Chee Keong

2013-01-01

Highlights: • A novel approach to predict solar radiation through the use of clustering paradigms. • Development of prediction models based on the intrinsic pattern observed in each cluster. • Prediction based on proper clustering and selection of model on current time provides better results than other methods. • Experiments were conducted on actual solar radiation data obtained from a weather station in Singapore. - Abstract: In this paper, a novel multi-model prediction framework for prediction of solar radiation is proposed. The framework started with the assumption that there are several patterns embedded in the solar radiation series. To extract the underlying pattern, the solar radiation series is first segmented into smaller subsequences, and the subsequences are further grouped into different clusters. For each cluster, an appropriate prediction model is trained. Hence a procedure for pattern identification is developed to identify the proper pattern that fits the current period. Based on this pattern, the corresponding prediction model is applied to obtain the prediction value. The prediction result of the proposed framework is then compared to other techniques. It is shown that the proposed framework provides superior performance as compared to others

Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices

OpenAIRE

Raviv, Eran; Bouwman, Kees E.; van Dijk, Dick

2013-01-01

This discussion paper led to a publication in 'Energy Economics' , 2015, 50, 227-239. The daily average price of electricity represents the price of electricity to be delivered over the full next day and serves as a key reference price in the electricity market. It is an aggregate that equals the average of hourly prices for delivery during each of the 24 individual hours. This paper demonstrates that the disaggregated hourly prices contain useful predictive information for the daily average ...

Prediction: The Modern-Day Sport-Science and Sports-Medicine "Quest for the Holy Grail".

Science.gov (United States)

McCall, Alan; Fanchini, Maurizio; Coutts, Aaron J

2017-05-01

In high-performance sport, science and medicine practitioners employ a variety of physical and psychological tests, training and match monitoring, and injury-screening tools for a variety of reasons, mainly to predict performance, identify talented individuals, and flag when an injury will occur. The ability to "predict" outcomes such as performance, talent, or injury is arguably sport science and medicine's modern-day equivalent of the "Quest for the Holy Grail." The purpose of this invited commentary is to highlight the common misinterpretation of studies investigating association to those actually analyzing prediction and to provide practitioners with simple recommendations to quickly distinguish between methods pertaining to association and those of prediction.

Learning Political Science with Prediction Markets: An Experimental Study

Science.gov (United States)

Ellis, Cali Mortenson; Sami, Rahul

2012-01-01

Prediction markets are designed to aggregate the information of many individuals to forecast future events. These markets provide participants with an incentive to seek information and a forum for interaction, making markets a promising tool to motivate student learning. We carried out a quasi-experiment in an introductory political science class…

The Predictive Effects of Motivation toward Learning Science on TIMSS Grade 8 Students' Science Achievement: A Comparative Study between Malaysia and Singapore

Science.gov (United States)

Lay, Yoon Fah; Chandrasegaran, A. L.

2016-01-01

TIMSS routinely presents very powerful evidence showing that students with more positive motivation toward learning science have substantially higher achievement. The results from TIMSS 2011 are consistent with previous assessments. This study explored the predictive effects of motivation toward learning science on science achievement among…

Long hours in paid and domestic work and subsequent sickness absence: does control over daily working hours matter?

Science.gov (United States)

Ala-Mursula, L; Vahtera, J; Kouvonen, A; Väänänen, A; Linna, A; Pentti, J; Kivimäki, M

2006-09-01

To explore the associations of working hours (paid, domestic, commuting, and total) with sickness absence, and to examine whether these associations vary according to the level of employee control over daily working hours. Prospective cohort study among 25 703 full-time public sector employees in 10 towns in Finland. A survey of working hours and control over working hours was carried out in 2000-01. The survey responses were linked with register data on the number of self-certified (3 days) sickness absences until the end of 2003. Poisson regression analyses with generalised estimating equations were used to take into account the fact that the employees were nested within work units. Adjustments were made for work and family characteristics and health behaviour. The mean follow-up period was 28.1 (SD 8.1) months. Long domestic and total working hours were associated with higher rates of medically certified sickness absences among both genders. In contrast, long paid working hours were associated with lower rates of subsequent self-certified sickness absences. Long commuting hours were related to increased rates of sickness absence of both types. Low control over daily working hours predicted medically certified sickness absences for both the women and men and self-certified absences for the men. In combinations, high control over working hours reduced the adverse associations of long domestic and total working hours with medically certified absences. Employee control over daily working hours may protect health and help workers successfully combine a full-time job with the demands of domestic work.

Performance in grade 12 mathematics and science predicts student nurses' performance in first year science modules at a university in the Western Cape.

Science.gov (United States)

Mthimunye, Katlego D T; Daniels, Felicity M

2017-10-26

The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence. The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman's rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules. The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions. Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.

How extreme is extreme hourly precipitation?

Science.gov (United States)

Papalexiou, Simon Michael; Dialynas, Yannis G.; Pappas, Christoforos

2016-04-01

The importance of accurate representation of precipitation at fine time scales (e.g., hourly), directly associated with flash flood events, is crucial in hydrological design and prediction. The upper part of a probability distribution, known as the distribution tail, determines the behavior of extreme events. In general, and loosely speaking, tails can be categorized in two families: the subexponential and the hyperexponential family, with the first generating more intense and more frequent extremes compared to the latter. In past studies, the focus has been mainly on daily precipitation, with the Gamma distribution being the most popular model. Here, we investigate the behaviour of tails of hourly precipitation by comparing the upper part of empirical distributions of thousands of records with three general types of tails corresponding to the Pareto, Lognormal, and Weibull distributions. Specifically, we use thousands of hourly rainfall records from all over the USA. The analysis indicates that heavier-tailed distributions describe better the observed hourly rainfall extremes in comparison to lighter tails. Traditional representations of the marginal distribution of hourly rainfall may significantly deviate from observed behaviours of extremes, with direct implications on hydroclimatic variables modelling and engineering design.

Medicine is not science: guessing the future, predicting the past.

Science.gov (United States)

Miller, Clifford

2014-12-01

Irregularity limits human ability to know, understand and predict. A better understanding of irregularity may improve the reliability of knowledge. Irregularity and its consequences for knowledge are considered. Reliable predictive empirical knowledge of the physical world has always been obtained by observation of regularities, without needing science or theory. Prediction from observational knowledge can remain reliable despite some theories based on it proving false. A naïve theory of irregularity is outlined. Reducing irregularity and/or increasing regularity can increase the reliability of knowledge. Beyond long experience and specialization, improvements include implementing supporting knowledge systems of libraries of appropriately classified prior cases and clinical histories and education about expertise, intuition and professional judgement. A consequence of irregularity and complexity is that classical reductionist science cannot provide reliable predictions of the behaviour of complex systems found in nature, including of the human body. Expertise, expert judgement and their exercise appear overarching. Diagnosis involves predicting the past will recur in the current patient applying expertise and intuition from knowledge and experience of previous cases and probabilistic medical theory. Treatment decisions are an educated guess about the future (prognosis). Benefits of the improvements suggested here are likely in fields where paucity of feedback for practitioners limits development of reliable expert diagnostic intuition. Further analysis, definition and classification of irregularity is appropriate. Observing and recording irregularities are initial steps in developing irregularity theory to improve the reliability and extent of knowledge, albeit some forms of irregularity present inherent difficulties. © 2014 John Wiley & Sons, Ltd.

Sleep, 24-hour activity rhythms, and brain structure : A population-based study

NARCIS (Netherlands)

L.A. Zuurbier (Lisette)

2016-01-01

markdownabstractIn this thesis, Chapter 2 focuses on sleep, 24-hour activity rhythms and health. Chapter 2.1 describes the influence of demographics, lifestyle and sleep on 24-hour activity rhythms. In Chapter 2.2 sleep and 24-hour activity rhythms are used to predict mortality. This chapter is

How many hours do you usually work? An analysis of the working hours questions in 26 large-scale surveys in six countries and the European Union

OpenAIRE

Tijdens, K.; Dragstra, A.

2007-01-01

This article reviews how working hours are asked for in 26 large-scale surveys in six countries plus the European Union. Four dimensions of working time were investigated, notably number of working hours, timing of work, predictability and control over hours, and commuting time. Although almost all questionnaires ask for hours worked, the terminology varies greatly. In only half of the cases a reference period is taken into account and in half the reasons for working more/less in the survey w...

How many hours do you usually work? An analysis of the working hours questions in 26 large-scale surveys in 6 countries and the European Union.

OpenAIRE

Dragstra, A.; Tijdens, K.

2004-01-01

This paper reviews how working hours are asked in 26 large-scale surveys in 6 countries plus the European Union. Four dimensions of working time were investigated, notably number of working hours, timing of work, predictability and control over hours, and commuting time. Although almost all questionnaires ask for hours worked, the terminology varies largely. In only half of the cases a reference period is taken into account and in half the reasons for working more/less in the survey week than...

Council tax valuation bands and contacts with a GP out-of-hours service.

Science.gov (United States)

Beale, Norman; Taylor, Gordon; Gwynne, Mark; Peart, Carole

2006-04-01

UK GPs are no longer responsible for the organisation of out-of-hours care for their patients, but resources remains capitation-based. This cross-sectional study tests whether council tax valuation bands can predict the demand for such services. All out-of-hours contacts made by patients in North Wiltshire over 4 months were classified by council tax band; frequencies compared with official population statistics. Council tax band predicts out-of-hours GP workload irrespective of age and sex: the more modest the home, the higher the GP contact rate. It may prove more difficult to sustain out-of-hours services in deprived parts of the UK.

CERN takes part in Earth Hour

CERN Multimedia

Anaïs Vernède

2011-01-01

From 8.30 to 9.30 p.m. on Saturday, 26 March 2011, the Globe of Science and Innovation will be plunged into darkness to mark CERN's participation in Earth Hour. A growing number of countries and cities across the planet are involved in this global initiative against climate change, which was launched by the WWF in 2007.   The lights on the Globe were switched off for the 2009 Earth Hour event. Along with individuals, companies and tourist attractions in thousands of towns and cities all over the world participating in the fourth annual Earth Hour event, CERN will turn off the lights of the Globe for 60 minutes at 8.30 p.m. on Saturday 26 March. CERN's participation in the initiative is one of several examples of its commitment to respect the environment and keep its ecological footprint to the minimum. A recent example under the green transport heading was the replacement of part of CERN's petrol vehicle fleet with cars running on natural gas with a view to reducing air pollution. Other examples...

Who is sleeping in our beds? Factors predicting the ED boarding of admitted patients for more than 2 hours.

Science.gov (United States)

Hodgins, Marilyn J; Moore, Nicole; Legere, Laura

2011-05-01

Although the provision of inpatient care is not typically associated with emergency nursing, it is the new reality in many departments. Given the number of admitted patients boarded in the emergency department for part or all of their hospital stay, it is important to know who these patients are. The purpose of this analysis was to determine whether the occurrence of ED boarding could be predicted by factors specific to the type and timing of the ED visit or whether patient characteristics also affected these decisions. A retrospective review of administrative data for a 1-year period was conducted. Chi-square and logistic regression analyses were used to determine whether the likelihood of being boarded for more than 2 hours could be predicted by factors specific to the type of visit (ie, triage level and admission type) and timing of the visit (ie, time of day and day of week) or whether patient characteristics (ie, sex and age group) also played a role. Slightly more than half of patients remained in the emergency department for more than 2 hours following receipt of an admission order. Results suggest the likelihood of boarding was highest for those who were medical admissions and admitted on a weekday or during the night shift. Even after accounting for these factors, patient characteristics improved the ability to predict ED boarding. Female patients and those 65 years of age or older were more likely to be boarded. Findings suggest that in addition to their usual responsibilities, emergency nurses are providing care to a group of inpatients who tend to have high medical and nursing care needs. Copyright © 2011 Emergency Nurses Association. Published by Mosby, Inc. All rights reserved.

Hypothesis, Prediction, and Conclusion: Using Nature of Science Terminology Correctly

Science.gov (United States)

Eastwell, Peter

2012-01-01

This paper defines the terms "hypothesis," "prediction," and "conclusion" and shows how to use the terms correctly in scientific investigations in both the school and science education research contexts. The scientific method, or hypothetico-deductive (HD) approach, is described and it is argued that an understanding of the scientific method,…

7 CFR 91.39 - Premium hourly fee rates for overtime and legal holiday service.

Science.gov (United States)

2010-01-01

... legal holidays or what constitutes overtime service at a particular Science and Technology laboratory is... Premium hourly fee rates for overtime and legal holiday service. (a) When analytical testing in a Science... overtime work. When analytical testing in a Science and Technology facility requires the services of...

Wind Farm Power Forecasting for Less Than an Hour Using Multi Dimensional Models

DEFF Research Database (Denmark)

Knudsen, Torben; Bak, Thomas; Jensen, Tom Nørgaard

2018-01-01

The paper focus on prediction of wind farm power for horizons of 0-10 minutes and not more than one hour using statistical methods. These short term predictions are relevant for both transmission system operators, wind farm operators and traders. Previous research indicates that for short time ho...... the prediction error variance estimate compared to the persistence method. We also present convincing examples showing that the predictions follow the wind farm power over a window of an hour.......The paper focus on prediction of wind farm power for horizons of 0-10 minutes and not more than one hour using statistical methods. These short term predictions are relevant for both transmission system operators, wind farm operators and traders. Previous research indicates that for short time...... horizons the persistence method performs as well as more complex methods. However, these results are based on accumulated power for an entire wind farm. The contribution in this paper is to develop multi-dimensional linear methods based on measurements of power or wind speed from individual wind turbine...

Relative value of clinical variables, bicycle ergometry, rest radionuclide ventriculography and 24 hour ambulatory electrocardiographic monitoring at discharge to predict 1 year survival after myocardial infarction

NARCIS (Netherlands)

P.M. Fioretti (Paolo); R.W. Brower (Ronald); M.L. Simoons (Maarten); H.J. ten Katen (Harald); A. Beelen (Anita); T. Baardman (Taco); J. Lubsen (Jacob); P.G. Hugenholtz (Paul)

1986-01-01

textabstractThe relative value of predischarge clinical variables, bicycle ergometry, radionuclide ventriculography and 24 hour ambulatory electrocardiographic monitoring for predicting survival during the first year in 351 hospital survivors of acute myocardial infarction was assessed. Discriminant

A hybrid Genetic Algorithm and Monte Carlo simulation approach to predict hourly energy consumption and generation by a cluster of Net Zero Energy Buildings

International Nuclear Information System (INIS)

Garshasbi, Samira; Kurnitski, Jarek; Mohammadi, Yousef

2016-01-01

Graphical abstract: The energy consumption and renewable generation in a cluster of NZEBs are modeled by a novel hybrid Genetic Algorithm and Monte Carlo simulation approach and used for the prediction of instantaneous and cumulative net energy balances and hourly amount of energy taken from and supplied to the central energy grid. - Highlights: • Hourly energy consumption and generation by a cluster of NZEBs was simulated. • Genetic Algorithm and Monte Carlo simulation approach were employed. • Dampening effect of energy used by a cluster of buildings was demonstrated. • Hourly amount of energy taken from and supplied to the grid was simulated. • Results showed that NZEB cluster was 63.5% grid dependant on annual bases. - Abstract: Employing a hybrid Genetic Algorithm (GA) and Monte Carlo (MC) simulation approach, energy consumption and renewable energy generation in a cluster of Net Zero Energy Buildings (NZEBs) was thoroughly investigated with hourly simulation. Moreover, the cumulative energy consumption and generation of the whole cluster and each individual building within the simulation space were accurately monitored and reported. The results indicate that the developed simulation algorithm is able to predict the total instantaneous and cumulative amount of energy taken from and supplied to the central energy grid over any time period. During the course of simulation, about 60–100% of total daily generated renewable energy was consumed by NZEBs and up to 40% of that was fed back into the central energy grid as surplus energy. The minimum grid dependency of the cluster was observed in June and July where 11.2% and 9.9% of the required electricity was supplied from the central energy grid, respectively. On the other hand, the NZEB cluster was strongly grid dependant in January and December by importing 70.7% and 76.1% of its required energy demand via the central energy grid, in the order given. Simulation results revealed that the cluster was 63

Twenty-Four-Hour Blood Pressure Monitoring to Predict and Assess Impact of Renal Denervation: The DENERHTN Study (Renal Denervation for Hypertension).

Science.gov (United States)

Gosse, Philippe; Cremer, Antoine; Pereira, Helena; Bobrie, Guillaume; Chatellier, Gilles; Chamontin, Bernard; Courand, Pierre-Yves; Delsart, Pascal; Denolle, Thierry; Dourmap, Caroline; Ferrari, Emile; Girerd, Xavier; Michel Halimi, Jean; Herpin, Daniel; Lantelme, Pierre; Monge, Matthieu; Mounier-Vehier, Claire; Mourad, Jean-Jacques; Ormezzano, Olivier; Ribstein, Jean; Rossignol, Patrick; Sapoval, Marc; Vaïsse, Bernard; Zannad, Faiez; Azizi, Michel

2017-03-01

The DENERHTN trial (Renal Denervation for Hypertension) confirmed the blood pressure (BP) lowering efficacy of renal denervation added to a standardized stepped-care antihypertensive treatment for resistant hypertension at 6 months. We report here the effect of denervation on 24-hour BP and its variability and look for parameters that predicted the BP response. Patients with resistant hypertension were randomly assigned to denervation plus stepped-care treatment or treatment alone (control). Average and standard deviation of 24-hour, daytime, and nighttime BP and the smoothness index were calculated on recordings performed at randomization and 6 months. Responders were defined as a 6-month 24-hour systolic BP reduction ≥20 mm Hg. Analyses were performed on the per-protocol population. The significantly greater BP reduction in the denervation group was associated with a higher smoothness index ( P =0.02). Variability of 24-hour, daytime, and nighttime BP did not change significantly from baseline to 6 months in both groups. The number of responders was greater in the denervation (20/44, 44.5%) than in the control group (11/53, 20.8%; P =0.01). In the discriminant analysis, baseline average nighttime systolic BP and standard deviation were significant predictors of the systolic BP response in the denervation group only, allowing adequate responder classification of 70% of the patients. Our results show that denervation lowers ambulatory BP homogeneously over 24 hours in patients with resistant hypertension and suggest that nighttime systolic BP and variability are predictors of the BP response to denervation. URL: https://www.clinicaltrials.gov. Unique identifier: NCT01570777. © 2017 American Heart Association, Inc.

Why the long hours? Job demands and social exchange dynamics.

Science.gov (United States)

Genin, Emilie; Haines, Victor Y; Pelletier, David; Rousseau, Vincent; Marchand, Alain

2016-11-22

This study investigates the determinants of long working hours from the perspectives of the demand-control model [Karasek, 1979] and social exchange theory [Blau, 1964; Goulder, 1960]. These two theoretical perspectives are tested to understand why individuals work longer (or shorter) hours. The hypotheses are tested with a representative sample of 1,604 employed Canadians. In line with Karasek's model, the results support that high job demands are positively associated with longer work hours. The social exchange perspective would predict a positive association between skill discretion and work hours. This hypothesis was supported for individuals with a higher education degree. Finally, the results support a positive association between active jobs and longer work hours. Our research suggests that job demands and social exchange dynamics need to be considered together in the explanation of longer (or shorter) work hours.

Predicting Performance on the National Athletic Trainers' Association Board of Certification Examination From Grade Point Average and Number of Clinical Hours.

Science.gov (United States)

Middlemas, David A.; Manning, James M.; Gazzillo, Linda M.; Young, John

2001-06-01

OBJECTIVE: To determine whether grade point average, hours of clinical education, or both are significant predictors of performance on the National Athletic Trainers' Association Board of Certification examination and whether curriculum and internship candidates' scores on the certification examination can be differentially predicted. DESIGN AND SETTING: Data collection forms and consent forms were mailed to the subjects to collect data for predictor variables. Subject scores on the certification examination were obtained from Columbia Assessment Services. SUBJECTS: A total of 270 first-time candidates for the April and June 1998 certification examinations. MEASUREMENTS: Grade point average, number of clinical hours completed, sex, route to certification eligibility (curriculum or internship), scores on each section of the certification examination, and pass/fail criteria for each section. RESULTS: We found no significant difference between the scores of men and women on any section of the examination. Scores for curriculum and internship candidates differed significantly on the written and practical sections of the examination but not on the simulation section. Grade point average was a significant predictor of scores on each section of the examination and the examination as a whole. Clinical hours completed did not add a significant increment for any section but did add a significant increment for the examination overall. Although no significant difference was noted between curriculum and internship candidates in predicting scores on sections of the examination, a significant difference by route was found in predicting whether candidates would pass the examination as a whole (P =.047). Proportion of variance accounted for was less than R(2) = 0.0723 for any section of the examination and R(2) = 0.057 for the examination as a whole. CONCLUSIONS: Potential predictors of performance on the certification examination can be useful to athletic training educators in

Can hospital-based doctors change their working hours? Evidence from Australia.

Science.gov (United States)

Norman, R; Hall, J

2014-07-01

To explore factors predicting hospital-based doctors' desire to work less, and then their success in making that change. Consecutive waves of an Australian longitudinal survey of doctors (Medicine in Australia-Balancing Employment and Life). There were 6285 and 6337 hospital-based completers in the two waves, consisting of specialists, hospital-based non-specialists and specialist registrars. Forty-eight per cent stated a preference to reduce hours. Predictive characteristics were being female and working more than 40 h/week (both P less likely to state the preference. Factors associated with not wanting to reduce working hours were being in excellent health and being satisfied with work (both P working hours, only 32% successfully managed to do so in the subsequent year (defined by a reduction of at least 5 h/week). Predictors of successfully reducing hours were being older, female and working more than 40 h/week (all P hours and then their subsequent success in doing so. Designing policies that seek to reduce attrition may alleviate some of the ongoing pressures in the Australian hospital system. © 2014 The Authors; Internal Medicine Journal © 2014 Royal Australasian College of Physicians.

Predicting phenology by integrating ecology, evolution and climate science

Science.gov (United States)

Pau, Stephanie; Wolkovich, Elizabeth M.; Cook, Benjamin I.; Davies, T. Jonathan; Kraft, Nathan J.B.; Bolmgren, Kjell; Betancourt, Julio L.; Cleland, Elsa E.

2011-01-01

Forecasting how species and ecosystems will respond to climate change has been a major aim of ecology in recent years. Much of this research has focused on phenology — the timing of life-history events. Phenology has well-demonstrated links to climate, from genetic to landscape scales; yet our ability to explain and predict variation in phenology across species, habitats and time remains poor. Here, we outline how merging approaches from ecology, climate science and evolutionary biology can advance research on phenological responses to climate variability. Using insight into seasonal and interannual climate variability combined with niche theory and community phylogenetics, we develop a predictive approach for species' reponses to changing climate. Our approach predicts that species occupying higher latitudes or the early growing season should be most sensitive to climate and have the most phylogenetically conserved phenologies. We further predict that temperate species will respond to climate change by shifting in time, while tropical species will respond by shifting space, or by evolving. Although we focus here on plant phenology, our approach is broadly applicable to ecological research of plant responses to climate variability.

Do Gender-Science Stereotypes Predict Science Identification and Science Career Aspirations among Undergraduate Science Majors?

Science.gov (United States)

Cundiff, Jessica L.; Vescio, Theresa K.; Loken, Eric; Lo, Lawrence

2013-01-01

The present research examined whether gender-science stereotypes were associated with science identification and, in turn, science career aspirations among women and men undergraduate science majors. More than 1,700 students enrolled in introductory science courses completed measures of gender-science stereotypes (implicit associations and…

Predictive microbiology: Quantitative science delivering quantifiable benefits to the meat industry and other food industries.

Science.gov (United States)

McMeekin, T A

2007-09-01

Predictive microbiology is considered in the context of the conference theme "chance, innovation and challenge", together with the impact of quantitative approaches on food microbiology, generally. The contents of four prominent texts on predictive microbiology are analysed and the major contributions of two meat microbiologists, Drs. T.A. Roberts and C.O. Gill, to the early development of predictive microbiology are highlighted. These provide a segue into R&D trends in predictive microbiology, including the Refrigeration Index, an example of science-based, outcome-focussed food safety regulation. Rapid advances in technologies and systems for application of predictive models are indicated and measures to judge the impact of predictive microbiology are suggested in terms of research outputs and outcomes. The penultimate section considers the future of predictive microbiology and advances that will become possible when data on population responses are combined with data derived from physiological and molecular studies in a systems biology approach. Whilst the emphasis is on science and technology for food safety management, it is suggested that decreases in foodborne illness will also arise from minimising human error by changing the food safety culture.

Spot Urine Protein-to-Creatinine Ratio to Predict the Magnitude of 24-Hour Total Proteinuria in Preeclampsia of Varying Severity.

Science.gov (United States)

Kucukgoz Gulec, Umran; Sucu, Mete; Ozgunen, Fatma Tuncay; Buyukkurt, Selim; Guzel, Ahmet Baris; Paydas, Saime

2017-10-01

The predictive value of spot urine protein-to-creatinine ratio (PCR) for estimating total 24-hour proteinuria in severe preeclampsia is unclear. This study aimed to assess the diagnostic accuracy of spot urine PCR for ascertaining the magnitude of proteinuria in women with preeclampsia of varying severity. A total of 205 patients with prediagnosed preeclampsia were included in this prospective cohort study. Patients were allocated into one of the three groups categorized by severity of disease, as follows: gestational hypertension, group 1 (n = 41); preeclampsia, group 2 (n = 88); and severe preeclampsia, group 3 (n = 76). We assessed the spot urine PCRs to determine significant proteinuria and the magnitude of proteinuria in these groups. The spot urine PCR was 0.53, with 81% sensitivity and 93% specificity to detect significant proteinuria. A significant correlation was found between PCR and 24-hour total proteinuria in group 1 (r = 0.473, P = 0.002). There were also significant correlations in group 2 (r = 0.814, P spot urine PCR to estimate 24-hour total proteinuria in severe preeclampsia was Y = 832.02X + 378.74 mg (r 2  = 0.8304). Although 24-hour urine collection remains a merely reliable test to determine the degree of total proteinuria, our findings suggest that it is likely to assess the magnitude of proteinuria by the spot urine PCR, especially in severe preeclampsia. www.clinicaltrials.govNCT01623791. Copyright © 2017 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.

U.S. Geological Survey Water science strategy--observing, understanding, predicting, and delivering water science to the nation

Science.gov (United States)

Evenson, Eric J.; Orndorff, Randall C.; Blome, Charles D.; Böhlke, John Karl; Hershberger, Paul K.; Langenheim, V.E.; McCabe, Gregory J.; Morlock, Scott E.; Reeves, Howard W.; Verdin, James P.; Weyers, Holly S.; Wood, Tamara M.

2013-01-01

This report expands the Water Science Strategy that began with the USGS Science Strategy, “Facing Tomorrow’s Challenges—U.S. Geological Survey Science in the Decade 2007–2017” (U.S. Geological Survey, 2007). This report looks at the relevant issues facing society and develops a strategy built around observing, understanding, predicting, and delivering water science for the next 5 to 10 years by building new capabilities, tools, and delivery systems to meet the Nation’s water-resource needs. This report begins by presenting the vision of water science for the USGS and the societal issues that are influenced by, and in turn influence, the water resources of our Nation. The essence of the Water Science Strategy is built on the concept of “water availability,” defined as spatial and temporal distribution of water quantity and quality, as related to human and ecosystem needs, as affected by human and natural influences. The report also describes the core capabilities of the USGS in water science—the strengths, partnerships, and science integrity that the USGS has built over its 134-year history. Nine priority actions are presented in the report, which combine and elevate the numerous specific strategic actions listed throughout the report. Priority actions were developed as a means of providing the audience of this report with a list for focused attention, even if resources and time limit the ability of managers to address all of the strategic actions in the report.

Psychological contracts: a new strategy for retaining reduced-hour physicians.

Science.gov (United States)

Hartwell, Jennifer K

2010-01-01

As a retention strategy, healthcare organizations offer reduced-hour schedules to physicians seeking better work-family balance. However, this quantitative study of 94 full-time and reduced-hour female physicians in the Boston area found that working fewer hours helps physicians achieve better balance but does not improve their burnout or career satisfaction, or impact their intention to quit or leave the field of medicine. Instead, the findings demonstrate that psychological contract fulfillment, which reflects the subjective nature of the employment relationship, is more important than work hours, an objective job condition, in predicting intention to quit and these other outcomes. A fine-grained analysis is initiated uncovering the multidimensionality of the psychological contract construct. To integrate successful reduced-hour arrangements for physicians, medical managers are directed to the importance of understanding the composition of reduced-hour physicians' psychological contracts, specifically, their need to do challenging work, receive high levels of supervisor support, and promotion opportunities.

Linking increases in hourly precipitation extremes to atmospheric temperature and moisture changes

International Nuclear Information System (INIS)

Lenderink, Geert; Van Meijgaard, Erik

2010-01-01

Relations between hourly precipitation extremes and atmospheric temperature and moisture derived for the present-day climate are studied with the aim of understanding the behavior (and the uncertainty in predictions) of hourly precipitation extremes in a changing climate. A dependency of hourly precipitation extremes on the daily mean 2 m temperature of approximately two times the Clausius-Clapeyron (CC) relation is found for temperatures above 10 deg. C. This is a robust relation obtained in four observational records across western Europe. A dependency following the CC relation can be explained by the observed increase in atmospheric (absolute) humidity with temperature, whereas the enhanced dependency (compared to the CC relation) appears to be caused by dynamical feedbacks owing to excess latent heat release in extreme showers. Integrations with the KNMI regional climate model RACMO2 at 25 km grid spacing show that changes in hourly precipitation extremes may indeed considerably exceed the prediction from the CC relation. The results suggests that increases of + 70% or even more are possible by the end of this century. However, a different regional model (CLM operated at ETHZ) predicts much smaller increases; this is probably caused by a too strong sensitivity of this model to a decrease in relative humidity.

Working hours and Work-Life Balance Satisfaction in Couples

OpenAIRE

Nathalie Georges; Dominique Méda; Danièle Trancart

2010-01-01

Over the past several years, many studies have highlighted the strategic nature of working hours, the way they are determined, their regularity and their predictability to judge the qualities of a job and how family life and work life are reconciled. Our results confirm those obtained by previous studies and clarify them, while also showing that both the working hours of the persons questioned and those of their spouse constitute a central variable. We will first review the results from the a...

Science Lives: Women and Minorities in the Sciences.

Science.gov (United States)

Minnesota Univ., Minneapolis. KUOM Radio.

This pamphlet and accompanying brochure of the same title describe a radio series of 13 half hour programs on the participation of women and minorities in science in the United States. The series attempts to make the public aware of the crisis in the sciences and science education and provides role models for young people, particularly young women…

Comparison of prediction quality of wind speed in hourly wind using different ARMA models; Comparacion de la calidad de las predicciones a corto plazo de velocidades de viento horarias. Realizadas con modelos armas obtenidos con series temporales de diferente longitud

Energy Technology Data Exchange (ETDEWEB)

Izco, E.; Prieto, E.; Garcia, A.; Torres, J. L.

2004-07-01

In this communication we have used different ARMA (Autoregressive Moving Average Process) models to predict the hourly average wind speed. It has been compared the results in predictions made in hourly average wind speed up to 10 hours in advance, when it is used as basis for establishment of prediction model the data of previous year and the other model is made with an historical series of several years of duration. The study expands to five locations with different topographic characteristics , in mountains surroundings and others in smoother relief area. It has been proven that the RMSE and MBE obtained in the adjustment between the predictions and the future observations with both models are bigger in the model make with data of previous year. (Author)

Comparing cycling world hour records, 1967-1996: modeling with empirical data.

Science.gov (United States)

Bassett, D R; Kyle, C R; Passfield, L; Broker, J P; Burke, E R

1999-11-01

The world hour record in cycling has increased dramatically in recent years. The present study was designed to compare the performances of former/current record holders, after adjusting for differences in aerodynamic equipment and altitude. Additionally, we sought to determine the ideal elevation for future hour record attempts. The first step was constructing a mathematical model to predict power requirements of track cycling. The model was based on empirical data from wind-tunnel tests, the relationship of body size to frontal surface area, and field power measurements using a crank dynamometer (SRM). The model agreed reasonably well with actual measurements of power output on elite cyclists. Subsequently, the effects of altitude on maximal aerobic power were estimated from published research studies of elite athletes. This information was combined with the power requirement equation to predict what each cyclist's power output would have been at sea level. This allowed us to estimate the distance that each rider could have covered using state-of-the-art equipment at sea level. According to these calculations, when racing under equivalent conditions, Rominger would be first, Boardman second, Merckx third, and Indurain fourth. In addition, about 60% of the increase in hour record distances since Bracke's record (1967) have come from advances in technology and 40% from physiological improvements. To break the current world hour record, field measurements and the model indicate that a cyclist would have to deliver over 440 W for 1 h at sea level, or correspondingly less at altitude. The optimal elevation for future hour record attempts is predicted to be about 2500 m for acclimatized riders and 2000 m for unacclimatized riders.

Working hours, work-life conflict and health in precarious and "permanent" employment.

Science.gov (United States)

Bohle, Philip; Quinlan, Michael; Kennedy, David; Williamson, Ann

2004-12-01

The expansion of precarious employment in OECD countries has been widely associated with negative health and safety effects. Although many shiftworkers are precariously employed, shiftwork research has concentrated on full-time workers in continuing employment. This paper examines the impact of precarious employment on working hours, work-life conflict and health by comparing casual employees to full-time, "permanent" employees working in the same occupations and workplaces. Thirty-nine convergent interviews were conducted in two five-star hotels. The participants included 26 full-time and 13 casual (temporary) employees. They ranged in age from 19 to 61 years and included 17 females and 22 males. Working hours ranged from zero to 73 hours per week. Marked differences emerged between the reports of casual and full-time employees about working hours, work-life conflict and health. Casuals were more likely to work highly irregular hours over which they had little control. Their daily and weekly working hours ranged from very long to very short according to organisational requirements. Long working hours, combined with low predictability and control, produced greater disruption to family and social lives and poorer work-life balance for casuals. Uncoordinated hours across multiple jobs exacerbated these problems in some cases. Health-related issues reported to arise from work-life conflict included sleep disturbance, fatigue and disrupted exercise and dietary regimes. This study identified significant disadvantages of casual employment. In the same hotels, and doing largely the same jobs, casual employees had less desirable and predictable work schedules, greater work-life conflict and more associated health complaints than "permanent" workers.

Job search, hours restrictions, and desired hours of work

NARCIS (Netherlands)

Bloemen, H.G.

2008-01-01

A structural empirical job search model is presented that incorporates the labor supply decision of individuals. The arrival of a job offer is modeled as a random draw from a wage-hours offer distribution. Subjective information is used on desired working hours to identify optimal hours from offered

Binocular Rivalry Measured 2 Hours After Occlusion Therapy Predicts the Recovery Rate of the Amblyopic Eye in Anisometropic Children.

Science.gov (United States)

Lunghi, Claudia; Morrone, Maria Concetta; Secci, Jacopo; Caputo, Roberto

2016-04-01

Recent studies on adults have shown that short-term monocular deprivation boosts the deprived eye signal in binocular rivalry, reflecting homeostatic plasticity. Here we investigate whether homeostatic plasticity is present also during occlusion therapy for moderate amblyopia. Binocular rivalry and visual acuity (using Snellen charts for children) were measured in 10 children (mean age 6.2 ± 1 years) with moderate anisometropic amblyopia before the beginning of treatment and at four intervals during occlusion therapy (2 hours, 1, 2, and 5 months). Visual stimuli were orthogonal gratings presented dichoptically through ferromagnetic goggles and children reported verbally visual rivalrous perception. Bangerter filters were applied on the spectacle lens over the best eye for occlusion therapy. Two hours of occlusion therapy increased the nonamblyopic eye predominance over the amblyopic eye compared with pretreatment measurements, consistent with the results in adults. The boost of the nonamblyopic eye was still present after 1 month of treatment, steadily decreasing afterward to reach pretreatment levels after 2 months of continuous occlusion. Across subjects, the increase in nonamblyopic eye predominance observed after 2 hours of occlusion correlated (rho = -0.65, P = 0.04) with the visual acuity improvement of the amblyopic eye measured after 2 months of treatment. Homeostatic plasticity operates during occlusion therapy for moderate amblyopia and the increase in nonamblyopic eye dominance observed at the beginning of treatment correlates with the amblyopic eye recovery rate. These results suggest that binocular rivalry might be used to monitor visual cortical plasticity during occlusion therapy, although further investigations on larger clinical populations are needed to validate the predictive power of the technique.

Decision-relevant evaluation of climate models: A case study of chill hours in California

Science.gov (United States)

Jagannathan, K. A.; Jones, A. D.; Kerr, A. C.

2017-12-01

The past decade has seen a proliferation of different climate datasets with over 60 climate models currently in use. Comparative evaluation and validation of models can assist practitioners chose the most appropriate models for adaptation planning. However, such assessments are usually conducted for `climate metrics' such as seasonal temperature, while sectoral decisions are often based on `decision-relevant outcome metrics' such as growing degree days or chill hours. Since climate models predict different metrics with varying skill, the goal of this research is to conduct a bottom-up evaluation of model skill for `outcome-based' metrics. Using chill hours (number of hours in winter months where temperature is lesser than 45 deg F) in Fresno, CA as a case, we assess how well different GCMs predict the historical mean and slope of chill hours, and whether and to what extent projections differ based on model selection. We then compare our results with other climate-based evaluations of the region, to identify similarities and differences. For the model skill evaluation, historically observed chill hours were compared with simulations from 27 GCMs (and multiple ensembles). Model skill scores were generated based on a statistical hypothesis test of the comparative assessment. Future projections from RCP 8.5 runs were evaluated, and a simple bias correction was also conducted. Our analysis indicates that model skill in predicting chill hour slope is dependent on its skill in predicting mean chill hours, which results from the non-linear nature of the chill metric. However, there was no clear relationship between the models that performed well for the chill hour metric and those that performed well in other temperature-based evaluations (such winter minimum temperature or diurnal temperature range). Further, contrary to conclusions from other studies, we also found that the multi-model mean or large ensemble mean results may not always be most appropriate for this

Neighborhood walkability, income, and hour-by-hour physical activity patterns.

Science.gov (United States)

Arvidsson, Daniel; Eriksson, Ulf; Lönn, Sara Larsson; Sundquist, Kristina

2013-04-01

This study aimed to investigate both the mean daily physical activity and the hour-by-hour physical activity patterns across the day using accelerometry and how they are associated with neighborhood walkability and individual income. Moderate physical activity (MPA) was assessed by accelerometry in 2252 adults in the city of Stockholm, Sweden. Neighborhood walkability (residential density, street connectivity, and land use mix) was objectively assessed within 1000m network buffers around the participants' residence and individual income was self-reported. Living in a high walkability neighborhood was associated with more mean daily MPA compared with living in a low walkability neighborhood on weekdays and weekend days. Hour-by-hour analyses showed that this association appeared mainly in the afternoon/early evening during weekdays, whereas it appeared across the middle of the day during weekend days. Individual income was associated with mean daily MPA on weekend days. On weekdays, the hour-by-hour analyses showed that high income was associated with more MPA around noon and in late afternoon/early evening, whereas low income was associated with more MPA at the hours before noon and in the early afternoon. During the weekend, high income was more consistently associated with higher MPA. Hour-by-hour accelerometry physical activity patterns provides a more comprehensive picture of the associations between neighborhood walkability and individual income and physical activity and the variability of these associations across the day.

Can zero-hour cortical biopsy predict early graft outcomes after living donor renal transplantation?

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Rathore, Ranjeet Singh; Mehta, Nisarg; Mehta, Sony Bhaskar; Babu, Manas; Bansal, Devesh; Pillai, Biju S; Sam, Mohan P; Krishnamoorthy, Hariharan

2017-11-01

The aim of this study was to identify relevance of subclinical pathological findings in the kidneys of living donors and correlate these with early graft renal function. This was a prospective study on 84 living donor kidney transplant recipients over a period of two years. In all the donors, cortical wedge biopsy was taken and sent for assessment of glomerular, mesangial, and tubule status. The graft function of patients with normal histology was compared with those of abnormal histological findings at one, three, and six months, and one year post-surgery. Most abnormal histological findings were of mild degree. Glomerulosclerosis (GS, 25%), interstitial fibrosis (IF, 13%), acute tubular necrosis (ATN 5%), and focal tubal atrophy (FTA, 5%) were the commonly observed pathological findings in zero-hour biopsies. Only those donors who had histological changes of IF and ATN showed progressive deterioration of renal function at one month, three months, six months, and one year post-transplantation. In donors with other histological changes, no significant effect on graft function was observed. Zero-hour cortical biopsy gave us an idea of the general status of the donor kidney and presence or absence of subclinical pathological lesions. A mild degree of subclinical and pathological findings on zero-hour biopsy did not affect early graft renal function in living donor kidney transplantation. Zero-hour cortical biopsy could also help in discriminating donor-derived lesions from de novo alterations in the kidney that could happen subsequently.

Use of non-linear mixed-effects modelling and regression analysis to predict the number of somatic coliphages by plaque enumeration after 3 hours of incubation.

Science.gov (United States)

Mendez, Javier; Monleon-Getino, Antonio; Jofre, Juan; Lucena, Francisco

2017-10-01

The present study aimed to establish the kinetics of the appearance of coliphage plaques using the double agar layer titration technique to evaluate the feasibility of using traditional coliphage plaque forming unit (PFU) enumeration as a rapid quantification method. Repeated measurements of the appearance of plaques of coliphages titrated according to ISO 10705-2 at different times were analysed using non-linear mixed-effects regression to determine the most suitable model of their appearance kinetics. Although this model is adequate, to simplify its applicability two linear models were developed to predict the numbers of coliphages reliably, using the PFU counts as determined by the ISO after only 3 hours of incubation. One linear model, when the number of plaques detected was between 4 and 26 PFU after 3 hours, had a linear fit of: (1.48 × Counts 3 h + 1.97); and the other, values >26 PFU, had a fit of (1.18 × Counts 3 h + 2.95). If the number of plaques detected was PFU after 3 hours, we recommend incubation for (18 ± 3) hours. The study indicates that the traditional coliphage plating technique has a reasonable potential to provide results in a single working day without the need to invest in additional laboratory equipment.

Opportunities to Learn in School and at Home: How can they predict students' understanding of basic science concepts and principles?

Science.gov (United States)

Wang, Su; Liu, Xiufeng; Zhao, Yandong

2012-09-01

As the breadth and depth of economic reforms increase in China, growing attention is being paid to equalities in opportunities to learn science by students of various backgrounds. In early 2009, the Chinese Ministry of Education and Ministry of Science and Technology jointly sponsored a national survey of urban eighth-grade students' science literacy along with their family and school backgrounds. The present study focused on students' understanding of basic science concepts and principles (BSCP), a subset of science literacy. The sample analyzed included 3,031 students from 109 randomly selected classes/schools. Correlation analysis, one-way analysis of variance, and two-level linear regression were conducted. The results showed that having a refrigerator, internet, more books, parents purchasing books and magazines related to school work, higher father's education level, and parents' higher expectation of the education level of their child significantly predicted higher BSCP scores; having siblings at home, owning an apartment, and frequently contacting teachers about the child significantly predicted lower BSCP scores. At the school level, the results showed that being in the first-tier or key schools, having school libraries, science popularization galleries, computer labs, adequate equipment for teaching, special budget for teacher training, special budget for science equipment, and mutual trust between teachers and students significantly predicated higher BSCP scores; and having science and technology rooms, offering science and technology interest clubs, special budget for science curriculum development, and special budget for science social practice activities significantly predicted lower BSCP scores. The implications of the above findings are discussed.

Long term forecasting of hourly electricity consumption in local areas in Denmark

DEFF Research Database (Denmark)

Møller Andersen, Frits; Larsen, Helge V.; Gaardestrup, R.B.

2013-01-01

. The model describes the entire profile of hourly consumption and is a first step towards differentiated local predictions of electricity consumption.The model is based on metering of aggregated hourly consumption at transformer stations covering selected local areas and on national statistics of hourly......Long term projections of hourly electricity consumption in local areas are important for planning of the transmission grid. In Denmark, at present the method used for grid planning is based on statistical analysis of the hour of maximum load and for each local area the maximum load is projected...... to change proportional to changes in the aggregated national electricity consumption. That is, specific local conditions are not considered. Yet, from measurements of local consumption we know that:. •consumption profiles differ between local areas,•consumption by categories of customers contribute...

Virtual Office Hours as Cyberinfrastructure: The Case Study of Instant Messaging

Science.gov (United States)

Balayeva, Jeren; Quan-Haase, Anabel

2009-01-01

Although out-of-class communication enhances students' learning experience, students' use of office hours has been limited. As the learning infrastructures of the social sciences and humanities have undergone a range of changes since the diffusion of digital networks, new opportunities emerge to increase out-of-class communication. Hence, it is…

Chaos the science of predictable random motion

CERN Document Server

Kautz, Richard

2011-01-01

Based on only elementary mathematics, this engaging account of chaos theory bridges the gap between introductions for the layman and college-level texts. It develops the science of dynamics in terms of small time steps, describes the phenomenon of chaos through simple examples, and concludes with a close look at a homoclinic tangle, the mathematical monster at the heart of chaos. The presentation is enhanced by many figures, animations of chaotic motion (available on a companion CD), and biographical sketches of the pioneers of dynamics and chaos theory. To ensure accessibility to motivated high school students, care has been taken to explain advanced mathematical concepts simply, including exponentials and logarithms, probability, correlation, frequency analysis, fractals, and transfinite numbers. These tools help to resolve the intriguing paradox of motion that is predictable and yet random, while the final chapter explores the various ways chaos theory has been put to practical use.

Predicting Climate-sensitive Infectious Diseases: Development of a Federal Science Plan and the Path Forward

Science.gov (United States)

Trtanj, J.; Balbus, J. M.; Brown, C.; Shimamoto, M. M.

2017-12-01

The transmission and spread of infectious diseases, especially vector-borne diseases, water-borne diseases and zoonosis, are influenced by short and long-term climate factors, in conjunction with numerous other drivers. Public health interventions, including vaccination, vector control programs, and outreach campaigns could be made more effective if the geographic range and timing of increased disease risk could be more accurately targeted, and high risk areas and populations identified. While some progress has been made in predictive modeling for transmission of these diseases using climate and weather data as inputs, they often still start after the first case appears, the skill of those models remains limited, and their use by public health officials infrequent. And further, predictions with lead times of weeks, months or seasons are even rarer, yet the value of acting early holds the potential to save more lives, reduce cost and enhance both economic and national security. Information on high-risk populations and areas for infectious diseases is also potentially useful for the federal defense and intelligence communities as well. The US Global Change Research Program, through its Interagency Group on Climate Change and Human Health (CCHHG), has put together a science plan that pulls together federal scientists and programs working on predictive modeling of climate-sensitive diseases, and draws on academic and other partners. Through a series of webinars and an in-person workshop, the CCHHG has convened key federal and academic stakeholders to assess the current state of science and develop an integrated science plan to identify data and observation systems needs as well as a targeted research agenda for enhancing predictive modeling. This presentation will summarize the findings from this effort and engage AGU members on plans and next steps to improve predictive modeling for infectious diseases.

In the Face of Conflict: Work-Life Conflict and Desired Work Hour Adjustments

Science.gov (United States)

Reynolds, Jeremy

2005-01-01

This study helps integrate the work-life and work hours literatures by examining competing predictions about the relationship between work-life conflict and the desire for paid work. Using data from the 1997 National Study of the Changing Workforce (N = 2,178), I find that work-life conflict makes women want to decrease the number of hours they…

Lower wages for less hours? A simultaneous wage-hours model for Germany

OpenAIRE

Wolf, Elke

2000-01-01

In this paper the impact of working hours on the gross hourly wage rate of West German women is analyzed. We use a simultaneous wage-hours model which takes into account the participation decision. First, our estimates show that the hourly wage rate is strongly a¤ected by the working hours. In order to avoid any assumptions about the functional form, we estimate linear spline functions. Second, we detect di¤erent wage-hours profiles for specific groups of individuals. Despite these di¤erences...

Factors Predicting Turkish and Korean Students' Science and Mathematics Achievement in TIMSS 2011

Science.gov (United States)

Topçu, Mustafa Sami; Erbilgin, Evrim; Arikan, Serkan

2016-01-01

This study makes an important contribution to an expanding body of international comparative studies by exploring factors predicting differences in science and mathematics achievement by students in Turkey and the Republic of Korea on the 2011 TIMSS assessment. While these countries are similar with regards to population size, cultural beliefs…

Flexible nurse staffing based on hourly bed census predictions

NARCIS (Netherlands)

Kortbeek, Nikky; Braaksma, Aleida; Burger, C.A.J.; Bakker, P.J.M; Boucherie, Richardus J.

2012-01-01

Workload on nursing wards depends highly on patient arrivals and patient lengths of stay, which are both inherently variable. Predicting this workload and staffing nurses accordingly is essential for guaranteeing quality of care in a cost effective manner. This paper introduces a stochastic method

Flexible nurse staffing based on hourly bed census predictions

NARCIS (Netherlands)

Kortbeek, Nikky; Braaksma, Aleida; Burger, C.A.J.; Bakker, P.J.M; Boucherie, Richardus J.

Workloads in nursing wards depend highly on patient arrivals and lengths of stay, both of which are inherently variable. Predicting these workloads and staffing nurses accordingly are essential for guaranteeing quality of care in a cost-effective manner. This paper introduces a stochastic method

Enactivism, Radical Enactivism and Predictive Processing: What is Radical in Cognitive Science?

Directory of Open Access Journals (Sweden)

Gärtner Klaus

2017-04-01

Full Text Available According to Enactivism, cognition should be understood in terms of a dynamic interaction between an acting organism and its environment. Further, this view holds that organisms do not passively receive information from this environment, they rather selectively create this environment by engaging in interaction with the world. Radical Enactivism adds that basic cognition does so without entertaining representations and hence that representations are not an essential constituent of cognition. Some proponents think that getting rid of representations amounts to a revolutionary alternative to standard views about cognition. To emphasize the impact, they claim that this ‘radicalization’ should be applied to all enactivist friendly views, including, another current and potentially revolutionary approach to cognition: predictive processing. In this paper, we will show that this is not the case. After introducing the problem (section 2, we will argue (section 3 that ‘radicalizing’ predictive processing does not add any value to this approach. After this (section 4, we will analyze whether or not radical Enactivism can count as a revolution within cognitive science at all and conclude that it cannot. Finally, in section 5 we will claim that cognitive science is better off when embracing heterogeneity.

Modeling Hourly Resident Productivity in the Emergency Department.

Science.gov (United States)

Joseph, Joshua W; Henning, Daniel J; Strouse, Connie S; Chiu, David T; Nathanson, Larry A; Sanchez, Leon D

2017-08-01

Resident productivity, defined as new patients per hour, carries important implications for emergency department operations. In high-volume academic centers, essential staffing decisions can be made on the assumption that residents see patients at a static rate. However, it is unclear whether this model mirrors reality; previous studies have not rigorously examined whether productivity changes over time. We examine residents' productivity across shifts to determine whether it remained consistent. This was a retrospective cohort study conducted in an urban academic hospital with a 3-year emergency medicine training program in which residents acquire patients ad libitum throughout their shift. Time stamps of all patient encounters were automatically logged. A linear mixed model was constructed to predict productivity per shift hour. A total of 14,364 8- and 9-hour shifts were worked by 75 residents between July 1, 2010, and June 20, 2015. This comprised 6,127 (42.7%) postgraduate year (PGY) 1 shifts, 7,236 (50.4%) PGY-2 shifts, and 998 (6.9%) PGY-3 nonsupervisory shifts (Table 1). Overall, residents treated a mean of 10.1 patients per shift (SD 3.2), with most patients at Emergency Severity Index level 3 or more acute (93.8%). In the initial hour, residents treated a mean of 2.14 patients (SD 1.2), and every subsequent hour was associated with a significant decrease, with the largest in the second, third, and final hours. Emergency medicine resident productivity during a single shift follows a reliable pattern that decreases significantly hourly, a pattern preserved across PGY years and types of shifts. This suggests that resident productivity is a dynamic process, which should be considered in staffing decisions and studied further. Copyright © 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Choosing Science: A Mixed-Methods Study of Factors Predicting Latino and Latina High School Students' Decisions to Pursue Science Degrees

Science.gov (United States)

Stein, Rachel S.

Latino/as are an increasingly large subset of the United States population; however, they continue to be underrepresented in science careers. Because of this increase, research regarding Latino/as has improved, but there are still many gaps in regards to gender-specific predictors to pursue science careers. To address this lack of literature, the purpose of this study is to extend previous research and to develop a model of variables that significantly contribute to science career choice among Latino and Latina students when they graduate from high school. In particular the study addressed the following research questions: (1) What are the differences in science outcomes for Latino and Latina students? (2) What are the differences in factors involved in science outcomes for Latino and Latina students? (3) For Latino and Latina students what are the differences in the factors that predict students' choice to pursue a science degree and/or high scores on the Future Plans in Science Scale? (4) What are the differences in how Latino and Latina students experience science, which account for high achieving students to choose to pursue a science major? This study utilized an explanatory mixed-method approach to examine how cognitive, institutional, and motivational factors may be interrelated and play a role in Latino/as choice to pursue science. The first phase of the study incorporated the collection of survey and database information from 12th grade students at two Southern California high schools. The second phase of the study utilized follow-up focus group interviews to explore the specific differential experiences and views of Latino and Latina students. The results of the study demonstrated multiple significant predictors. Science self-concept and views towards science outside of school were the most significant predictors of students' choice to pursue science. Male students also had major predictors of Spanish proficiency, teacher encouragement, religious views

Hourly weather forecasts for gas turbine power generation

Directory of Open Access Journals (Sweden)

G. Giunta

2017-06-01

Full Text Available An hourly short-term weather forecast can optimize processes in Combined Cycle Gas Turbine (CCGT plants by helping to reduce imbalance charges on the national power grid. Consequently, a reliable meteorological prediction for a given power plant is crucial for obtaining competitive prices for the electric market, better planning and stock management, sales and supplies of energy sources. The paper discusses the short-term hourly temperature forecasts, at lead time day+1 and day+2, over a period of thirteen months in 2012 and 2013 for six Italian CCGT power plants of 390 MW each (260 MW from the gas turbine and 130 MW from the steam turbine. These CCGT plants are placed in three different Italian climate areas: the Po Valley, the Adriatic coast, and the North Tyrrhenian coast. The meteorological model applied in this study is the eni-Kassandra Meteo Forecast (e‑kmf™, a multi-model approach system to provide probabilistic forecasts with a Kalman filter used to improve accuracy of local temperature predictions. Performance skill scores, computed by the output data of the meteorological model, are compared with local observations, and used to evaluate forecast reliability. In the study, the approach has shown good overall scores encompassing more than 50,000 hourly temperature values. Some differences from one site to another, due to local meteorological phenomena, can affect the short-term forecast performance, with consequent impacts on gas-to-power production and related negative imbalances. For operational application of the methodology in CCGT power plant, the benefits and limits have been successfully identified.

24-Hour Blood Pressure Variability Assessed by Average Real Variability: A Systematic Review and Meta-Analysis.

Science.gov (United States)

Mena, Luis J; Felix, Vanessa G; Melgarejo, Jesus D; Maestre, Gladys E

2017-10-19

Although 24-hour blood pressure (BP) variability (BPV) is predictive of cardiovascular outcomes independent of absolute BP levels, it is not regularly assessed in clinical practice. One possible limitation to routine BPV assessment is the lack of standardized methods for accurately estimating 24-hour BPV. We conducted a systematic review to assess the predictive power of reported BPV indexes to address appropriate quantification of 24-hour BPV, including the average real variability (ARV) index. Studies chosen for review were those that presented data for 24-hour BPV in adults from meta-analysis, longitudinal or cross-sectional design, and examined BPV in terms of the following issues: (1) methods used to calculate and evaluate ARV; (2) assessment of 24-hour BPV determined using noninvasive ambulatory BP monitoring; (3) multivariate analysis adjusted for covariates, including some measure of BP; (4) association of 24-hour BPV with subclinical organ damage; and (5) the predictive value of 24-hour BPV on target organ damage and rate of cardiovascular events. Of the 19 assessed studies, 17 reported significant associations between high ARV and the presence and progression of subclinical organ damage, as well as the incidence of hard end points, such as cardiovascular events. In all these cases, ARV remained a significant independent predictor ( P <0.05) after adjustment for BP and other clinical factors. In addition, increased ARV in systolic BP was associated with risk of all cardiovascular events (hazard ratio, 1.18; 95% confidence interval, 1.09-1.27). Only 2 cross-sectional studies did not find that high ARV was a significant risk factor. Current evidence suggests that ARV index adds significant prognostic information to 24-hour ambulatory BP monitoring and is a useful approach for studying the clinical value of BPV. © 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Effect of travoprost on 24-hour intraocular pressure in normal tension glaucoma

Directory of Open Access Journals (Sweden)

Yuya Nomura

2010-07-01

Full Text Available Yuya Nomura1, Shunsuke Nakakura2, Mitsuyasu Moriwaki1, Yasuhiro Takahashi1, Kunihiko Shiraki11Department of Ophthalmology and Visual Sciences, Graduate School of Medicine, Osaka City University, Japan; 2Department of Ophthalmology, Saiseikai Gose Hospital, JapanPurpose: The effect of travoprost 0.004% on 24-hour intraocular pressure (IOP was examined in patients with normal tension glaucoma (NTG.Subjects and methods: This study included 17 patients with newly diagnosed unilateral NTG. IOP was measured at three-hour intervals over 24 hours by Goldman applanation tonometer in patients taking topical travoprost 0.004% and was compared retrospectively with 24-hour IOP data in untreated eyes.Results: IOP values were significantly reduced at individual time points after treatment (P < 0.01. Mean 24-hour IOP, maximum 24-hour IOP, minimum 24-hour IOP, and 24-hour IOP fluctuations at baseline (mean ± SD were 12.9 ± 2.2 mmHg, 15.4 ± 2.7 mmHg, 10.5 ± 2.2 mmHg, and 4.9 ± 1.2 mmHg, respectively, and were significantly reduced to 10.3 ± 2.0 mmHg, 12.4 ± 2.5 mmHg, 8.5 ± 1.9 mmHg (all P < 0.001, and 3.9 ± 1.5 mmHg (P < 0.05, respectively, after treatment. The rate of IOP reduction greater than 20% was 58.8% (10 eyes for maximum 24-hour IOP and 53.0% (nine eyes for mean 24-hour IOP.Conclusion: Travoprost reduced IOP throughout the 24-hour study period, with over half of the eyes examined showing IOP reduction exceeding 20%.Keywords: 24-hour intraocular pressure, fluctuation, normal tension glaucoma, travoprost, Travatan Z

Vital Signs Predict Rapid-Response Team Activation Within Twelve Hours of Emergency Department Admission.

Science.gov (United States)

Walston, James M; Cabrera, Daniel; Bellew, Shawna D; Olive, Marc N; Lohse, Christine M; Bellolio, M Fernanda

2016-05-01

Rapid-response teams (RRTs) are interdisciplinary groups created to rapidly assess and treat patients with unexpected clinical deterioration marked by decline in vital signs. Traditionally emergency department (ED) disposition is partially based on the patients' vital signs (VS) at the time of hospital admission. We aimed to identify which patients will have RRT activation within 12 hours of admission based on their ED VS, and if their outcomes differed. We conducted a case-control study of patients presenting from January 2009 to December 2012 to a tertiary ED who subsequently had RRT activations within 12 hours of admission (early RRT activations). The medical records of patients 18 years and older admitted to a non-intensive care unit (ICU) setting were reviewed to obtain VS at the time of ED arrival and departure, age, gender and diagnoses. Controls were matched 1:1 on age, gender, and diagnosis. We evaluated VS using cut points (lowest 10%, middle 80% and highest 10%) based on the distribution of VS for all patients. Our study adheres to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines for reporting observational studies. A total of 948 patients were included (474 cases and 474 controls). Patients who had RRT activations were more likely to be tachycardic (odds ratio [OR] 2.02, 95% CI [1.25-3.27]), tachypneic (OR 2.92, 95% CI [1.73-4.92]), and had lower oxygen saturations (OR 2.25, 95% CI [1.42-3.56]) upon arrival to the ED. Patients who had RRT activations were more likely to be tachycardic at the time of disposition from the ED (OR 2.76, 95% CI [1.65-4.60]), more likely to have extremes of systolic blood pressure (BP) (OR 1.72, 95% CI [1.08-2.72] for low BP and OR 1.82, 95% CI [1.19-2.80] for high BP), higher respiratory rate (OR 4.15, 95% CI [2.44-7.07]) and lower oxygen saturation (OR 2.29, 95% CI [1.43-3.67]). Early RRT activation was associated with increased healthcare utilization and worse outcomes including

Deep venous thrombophlebitis: detection with 4-hour versus 24-hour platelet scintigraphy

International Nuclear Information System (INIS)

Seabold, J.E.; Conrad, G.R.; Ponto, J.A.; Kimball, D.A.; Frey, E.E.; Ahmed, F.; Coughlan, J.D.; Jensen, K.C.

1987-01-01

Thirty-one nonheparinized patients with suspected deep venous thrombophlebitis (DVT) underwent contrast venography and indium-111 platelet scintigraphy (In-111 PS). Venography permitted identification of acute DVT in 12 of 31 cases (39%). One additional patient was considered to have acute DVT despite nonconclusive venography results. In-111 PS results were positive at 4 hours in nine of 13 cases (69%) and at 24 hours in 12 of 13 cases (92%). Two of four patients with false-negative 4-hour In-111 PS studies had received warfarin. Thus, the sensitivity of 4-hour In-111 PS in patients not receiving anticoagulants was 82%. Venography results were negative for acute DVT in 18 cases, and 4-hour In-111 PS studies were negative or equivocal in each. In-111 PS is an alternative to contrast venography for detecting acute DVT. If 4-hour In-111 PS results are positive, anticoagulation can be initiated. Delayed images are necessary if the 4-hour images are negative or equivocal

Work Hours Offer in Colombia: an Approach to its Determinants, 2012

Directory of Open Access Journals (Sweden)

Andrés Eduardo Rangel Jiménez

2016-02-01

Full Text Available When participating in the job market, an individual must determine the amount of work hours to offer, a situation illustrated by economic theory through the income and substitution effects. This paper reports the results of the econometric estimation of a three-stage model of the hours of individual work for Colombia, based on the 2012 Quality of Life Survey. In the first stage, a model of the probability of being employed is made; then, a Mincer Equation corrected by selection bias is estimated and, finally, an equation of work hours is estimated using the Tobit model, in terms of wages predicted to correct endogeneity. Results show that the substitution effect takes precedence over the income effect; that age (up to a threshold, being head of household, having children under five years of age, being married or living in a common-law marriage and, finally, having a written employment contract, have a positive effect on the number of hours offered; on the other hand, unearned income has a negative effect on the number of hours offered.

Environmental capacity and the limits of predictive science

International Nuclear Information System (INIS)

Taylor, P.

1991-01-01

This paper examines the failure of pollution control and hazardous waste management strategies in the light of rapid environmental degradation observed in the decade of the 1980s. It focuses upon the central role of predictive science and assimilative capacity concepts in that failure and the development, a s a consequence, of a paradigm shift in approach, utilising the principles of precautionary action with regard to all substances, programmes of clean production applied to all industrial sectors, and source reduction applied to dissipative activities giving rise to hazardous waste. The past 'assimilative capacity' approaches are criticised as an inadequate foundation for development. In particular the nuclear regulatory concepts of 'justification', 'optimisation' and 'dose-limitation' are seriously deficient. New assessment procedures under development in the London dumping convention are discussed in the light of the precautionary principle. (au)

Science Projects | Akron-Summit County Public Library

Science.gov (United States)

Hours & Locations Main Library Science & Technology Division Science Projects Science Projects Have fun with science experiments. Whether you need to do a project for a school science fair or you want to be a mad scientist, our Science Project Index and other resources can get you started. Find how

Working Hours and Productivity

OpenAIRE

Collewet, Marion; Sauermann, Jan

2017-01-01

This paper studies the link between working hours and productivity using daily information on working hours and performance of a sample of call centre agents. We exploit variation in the number of hours worked by the same employee across days and weeks due to central scheduling, enabling us to estimate the effect of working hours on productivity. We find that as the number of hours worked increases, the average handling time for a call increases, meaning that agents become less productive. Th...

Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

Energy Technology Data Exchange (ETDEWEB)

Mandal, Paras; Senjyu, Tomonobu [Department of Electrical and Electronics, University of the Ryukyus, 1 Senbaru, Nagakami Nishihara, Okinawa 903-0213 (Japan); Funabashi, Toshihisa [Meidensha Corporation, Tokyo 103-8515 (Japan)

2006-09-15

In daily power markets, forecasting electricity prices and loads are the most essential task and the basis for any decision making. An approach to predict the market behaviors is to use the historical prices, loads and other required information to forecast the future prices and loads. This paper introduces an approach for several hour ahead (1-6h) electricity price and load forecasting using an artificial intelligence method, such as a neural network model, which uses publicly available data from the NEMMCO web site to forecast electricity prices and loads for the Victorian electricity market. An approach of selection of similar days is proposed according to which the load and price curves are forecasted by using the information of the days being similar to that of the forecast day. A Euclidean norm with weighted factors is used for the selection of the similar days. Two different ANN models, one for one to six hour ahead load forecasting and another for one to six hour ahead price forecasting have been proposed. The MAPE (mean absolute percentage error) results show a clear increasing trend with the increase in hour ahead load and price forecasting. The sample average of MAPEs for one hour ahead price forecasts is 9.75%. This figure increases to only 20.03% for six hour ahead predictions. Similarly, the one to six hour ahead load forecast errors (MAPE) range from 0.56% to 1.30% only. MAPE results show that several hour ahead electricity prices and loads in the deregulated Victorian market can be forecasted with reasonable accuracy. (author)

Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

International Nuclear Information System (INIS)

Mandal, Paras; Senjyu, Tomonobu; Funabashi, Toshihisa

2006-01-01

In daily power markets, forecasting electricity prices and loads are the most essential task and the basis for any decision making. An approach to predict the market behaviors is to use the historical prices, loads and other required information to forecast the future prices and loads. This paper introduces an approach for several hour ahead (1-6 h) electricity price and load forecasting using an artificial intelligence method, such as a neural network model, which uses publicly available data from the NEMMCO web site to forecast electricity prices and loads for the Victorian electricity market. An approach of selection of similar days is proposed according to which the load and price curves are forecasted by using the information of the days being similar to that of the forecast day. A Euclidean norm with weighted factors is used for the selection of the similar days. Two different ANN models, one for one to six hour ahead load forecasting and another for one to six hour ahead price forecasting have been proposed. The MAPE (mean absolute percentage error) results show a clear increasing trend with the increase in hour ahead load and price forecasting. The sample average of MAPEs for one hour ahead price forecasts is 9.75%. This figure increases to only 20.03% for six hour ahead predictions. Similarly, the one to six hour ahead load forecast errors (MAPE) range from 0.56% to 1.30% only. MAPE results show that several hour ahead electricity prices and loads in the deregulated Victorian market can be forecasted with reasonable accuracy

Vital Signs Predict Rapid-Response Team Activation within Twelve Hours of Emergency Department Admission

Directory of Open Access Journals (Sweden)

James M. Walston

2016-05-01

Full Text Available Introduction: Rapid-response teams (RRTs are interdisciplinary groups created to rapidly assess and treat patients with unexpected clinical deterioration marked by decline in vital signs. Traditionally emergency department (ED disposition is partially based on the patients’ vital signs (VS at the time of hospital admission. We aimed to identify which patients will have RRT activation within 12 hours of admission based on their ED VS, and if their outcomes differed. Methods: We conducted a case-control study of patients presenting from January 2009 to December 2012 to a tertiary ED who subsequently had RRT activations within 12 hours of admission (early RRT activations. The medical records of patients 18 years and older admitted to a non-intensive care unit (ICU setting were reviewed to obtain VS at the time of ED arrival and departure, age, gender and diagnoses. Controls were matched 1:1 on age, gender, and diagnosis. We evaluated VS using cut points (lowest 10%, middle 80% and highest 10% based on the distribution of VS for all patients. Our study adheres to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology guidelines for reporting observational studies. Results: A total of 948 patients were included (474 cases and 474 controls. Patients who had RRT activations were more likely to be tachycardic (odds ratio [OR] 2.02, 95% CI [1.25-3.27], tachypneic (OR 2.92, 95% CI [1.73-4.92], and had lower oxygen saturations (OR 2.25, 95% CI [1.42-3.56] upon arrival to the ED. Patients who had RRT activations were more likely to be tachycardic at the time of disposition from the ED (OR 2.76, 95% CI [1.65-4.60], more likely to have extremes of systolic blood pressure (BP (OR 1.72, 95% CI [1.08-2.72] for low BP and OR 1.82, 95% CI [1.19-2.80] for high BP, higher respiratory rate (OR 4.15, 95% CI [2.44-7.07] and lower oxygen saturation (OR 2.29, 95% CI [1.43-3.67]. Early RRT activation was associated with increased healthcare

Predictive validity of the comprehensive basic science examination mean score for assessment of medical students' performance

Directory of Open Access Journals (Sweden)

Firouz Behboudi

2002-04-01

Full Text Available Background Medical education curriculum improvements can be achieved bye valuating students performance. Medical students have to pass two undergraduate comprehensive examinations, basic science and preinternship, in Iran. Purpose To measure validity of the students' mean score in comprehensive basic science exam (CBSE for predicting their performance in later curriculum phases. Methods This descriptive cross-sectional study was conducted on 95 (38 women and 55 men Guilan medical university students. Their admission to the university was 81% by regional quota and 12% by shaheed and other organizations' share. They first enrolled in 1994 and were able to pass CBS£ at first try. Data on gender, regional quota, and average grades of CBS£, PC, and CPIE were collected by a questionnaire. The calculations were done by SPSS package. Results The correlation coefficient between CBS£ and CPIE mean scores (0.65 was higher than correlation coefficient between CBS£ and PC mean scores (0.49. The predictive validity of CBS£ average grade was significant for students' performance in CPIE; however, the predictive validity of CBSE mean scores for students I pe1jormance in PC was lower. Conclusion he students' mean score in CBSE can be a good denominator for their further admission. We recommend further research to assess the predictive validity for each one of the basic courses. Keywords predictive validity, comprehensive basic exam

Prediction of improvement of myocardial wall motion after coronary artery bypass surgery using rest Tl-201/dipyridamole stress gated Tc-99m-MIBI/24 hour delay Tl-201 SPECT

International Nuclear Information System (INIS)

Lee, Dong Soo; Lee, Won Woo; Yeo, Jeong Yeo; Kim, Seok Ki; Kim, Ki Bong; Chung, June Key; Lee, Myung Chul

1998-01-01

Using rest Tl-201/ dipyridamole stress gated Tc-99m-MIBI/24 hour delay Tl-201 SPECT, we investigated the predictive values of the markers of the stress-rest reversibility (Rev), Tl-201 rest perfusion (Rest), Tl-201 24 hour redistribution (Del) and Tc-99m-MIBI gated systolic thickening (Thk) for wall motion improvement after coronary artery bypass surgery. In 39 patients (M:F=34:5, age 58±8), preoperative and postoperative (3 months) SPECT were compared. 24 hour delayed SPECT was done in 16 patients having perfusion defects at rest. Perfusion or wall motion was scored from 0 to 3 (0: normal to 3: defect or dyskinesia). Wall motion was abnormal in 142 segments among 585 segments of 99 artery territories which were surgically revascularized. After bypass surgery, ejection fraction increased from 37.8±9.0% to 45.5±12.3% in 22 patients who had decreased ejectin fraction preoperatively. Wall motion improved in 103 (72.5%) segments among 142 dysfunctional segments. Positive predictive values (PPV) of Rev, Rest, Del, and Thk were 83%, 76%, 43%, and 69% respectively. Negative predictive values (NPV) of Rev, Rest, Del, and Thk were 48%, 44%, 58%, and 21%, respectively. Rest/gated stress/delay SPECT had PPV of 74% and NPV of 46%. Through univariate logistic regression analysis revealed Rev( p=0.0008) and Rest (p=0.024) as significant predictors, stepwise multivariate test found Rev as the only good predictor (p=0.0008). Among independent predictors obtained by rest Tl-201/stress gated Tc-99m-MIBI/delayed Tl-201 myocardial SPECT for wall motion improvement after bypass surgery, stress-rest reversibility was the single most useful predictor

Science and data science.

Science.gov (United States)

Blei, David M; Smyth, Padhraic

2017-08-07

Data science has attracted a lot of attention, promising to turn vast amounts of data into useful predictions and insights. In this article, we ask why scientists should care about data science. To answer, we discuss data science from three perspectives: statistical, computational, and human. Although each of the three is a critical component of data science, we argue that the effective combination of all three components is the essence of what data science is about.

Using citizen science butterfly counts to predict species population trends.

Science.gov (United States)

Dennis, Emily B; Morgan, Byron J T; Brereton, Tom M; Roy, David B; Fox, Richard

2017-12-01

Citizen scientists are increasingly engaged in gathering biodiversity information, but trade-offs are often required between public engagement goals and reliable data collection. We compared population estimates for 18 widespread butterfly species derived from the first 4 years (2011-2014) of a short-duration citizen science project (Big Butterfly Count [BBC]) with those from long-running, standardized monitoring data collected by experienced observers (U.K. Butterfly Monitoring Scheme [UKBMS]). BBC data are gathered during an annual 3-week period, whereas UKBMS sampling takes place over 6 months each year. An initial comparison with UKBMS data restricted to the 3-week BBC period revealed that species population changes were significantly correlated between the 2 sources. The short-duration sampling season rendered BBC counts susceptible to bias caused by interannual phenological variation in the timing of species' flight periods. The BBC counts were positively related to butterfly phenology and sampling effort. Annual estimates of species abundance and population trends predicted from models including BBC data and weather covariates as a proxy for phenology correlated significantly with those derived from UKBMS data. Overall, citizen science data obtained using a simple sampling protocol produced comparable estimates of butterfly species abundance to data collected through standardized monitoring methods. Although caution is urged in extrapolating from this U.K. study of a small number of common, conspicuous insects, we found that mass-participation citizen science can simultaneously contribute to public engagement and biodiversity monitoring. Mass-participation citizen science is not an adequate replacement for standardized biodiversity monitoring but may extend and complement it (e.g., through sampling different land-use types), as well as serving to reconnect an increasingly urban human population with nature. © 2017 The Authors. Conservation Biology published

Operator alertness and performance on 8-hour and 12-hour work shifts

International Nuclear Information System (INIS)

Baker, T.L.; Campbell, S.S.; Dawson, D.; Moore-Ede, M.

1989-01-01

Recently, much attention has been paid to the alertness and performance problems of rotational shiftworkers in the nuclear power industry. Growing awareness of higher rates of human errors and accidents on night shifts and reports of operations personnel falling asleep on the job have contributed to the heightened interest in this subject. The industry is now considering the effects of different shift rotation systems, including evaluation of the most recent of industry trends in shift scheduling-schedules that include 12 hour work shifts. Surveys show that within the past 5 years about 20% of commercially operational nuclear power plants have instituted schedules that use only 12 hour shifts, or schedules using a combination of 8-hour and 12-hour shifts. Many more plants routinely use 12-hour work shifts during plant outages and refueling operations. In response to this growing trend, the NRC has funded research which is a first attempt to compare alertness, operator performance, and sleep-wake patterns in subjects working simulated 8-hour and 12-hour shifts at the Human Alertness Research Center (HARC), located at the Institute of Circadian Physiology in Boston, MA. This paper will describe in greater detail the design of the study, measurement techniques for alertness and sleep, work routine, work task performance measures, and cognitive performance test protocols. It will review the role of circadian factors in human alertness and performance, and discuss previous research findings in this area. It will discuss other variables that are known to influence human alertness in the workplace, such as caffeine, alcohol, and working environment. The physiological basis for shift worker sleep problems will be explained in the context of the ongoing research project at HARC. Finally, the paper presents previous research on shift work and fatigue which may be relevant to a comparison of 8-hour and 12-hour shifts

The Effect of a Laboratory Approach Based on Predict-Observation-Explain (POE Strategy on the Development of Students’ Science Process Skills and Views about Nature of Science

Directory of Open Access Journals (Sweden)

Kadir Bilen

2012-06-01

Full Text Available The purpose of this study was to investigate the effects of a laboratory instruction prepared based on “Predict-Observation-Explain” (POE strategy compared to a verification laboratory approach on the development of pre-service science teachers’ science skill processes and their views of nature of sceince in a general biology laboratory course. The participants of this study consisted of 122 pre-service teachers who took the General Biology Laboratory at the department of science education at Pamukkale University during the fall semester of 2007-2008 academic year. Data was collected through Science Process Skills Test (SPST and Nature of Science Questionnaire. Results indicated that there was a statistically significant difference between the verification laboratory approach and the laboratory approach based on the POE strategy on the development of students’ science process skills [F=10.41, p

Flexible work in call centres: Working hours, work-life conflict & health.

Science.gov (United States)

Bohle, Philip; Willaby, Harold; Quinlan, Michael; McNamara, Maria

2011-01-01

Call-centre workers encounter major psychosocial pressures, including high work intensity and undesirable working hours. Little is known, however, about whether these pressures vary with employment status and how they affect work-life conflict and health. Questionnaire data were collected from 179 telephone operators in Sydney, Australia, of whom 124 (69.3%) were female and 54 (30.2%) were male. Ninety-three (52%) were permanent full-time workers, 37 (20.7%) were permanent part-time, and 49 (27.4%) were casual employees. Hypothesised structural relationships between employment status, working hours and work organisation, work-life conflict and health were tested using partial least squares modelling in PLS (Chin, 1998). The final model demonstrated satisfactory fit. It supported important elements of the hypothesised structure, although four of the proposed paths failed to reach significance and the fit was enhanced by adding a path. The final model indicated that casual workers reported more variable working hours which were relatively weakly associated with greater dissatisfaction with hours. The interaction of schedule control and variability of hours also predicted dissatisfaction with hours. Conversely, permanent workers reported greater work intensity, which was associated with both lower work schedule control and greater work-life conflict. Greater work-life conflict was associated with more fatigue and psychological symptoms. Labour market factors and the undesirability of longer hours in a stressful, high-intensity work environment appear to have contributed to the results. Copyright © 2010 Elsevier Ltd and The Ergonomics Society. All rights reserved.

Prediction of Basic Math Course Failure Rate in the Physics, Meteorology, Mathematics, Actuarial Sciences and Pharmacy Degree Programs

Directory of Open Access Journals (Sweden)

Luis Rojas-Torres

2014-09-01

Full Text Available This paper summarizes a study conducted in 2013 with the purpose of predicting the failure rate of math courses taken by Pharmacy, Mathematics, Actuarial Science, Physics and Meteorology students at Universidad de Costa Rica (UCR. Using the Logistics Regression statistical techniques applied to the 2010 cohort, failure rates were predicted of students in the aforementioned programs in one of their Math introductory courses (Calculus 101 for Physics and Meteorology, Math Principles for Mathematics and Actuarial Science and Applied Differential Equations for Pharmacy. For these models, the UCR admission average, the student’s genre, and the average correct answers in the Quantitative Skills Test were used as predictor variables. The most important variable for all models was the Quantitative Skills Test, and the model with the highest correct classification rate was the Logistics Regression. For the estimated Physics-Meteorology, Pharmacy and Mathematics-Actuarial Science models, correct classifications were 89.8%, 73.6%, and 93.9%, respectively.

More hours, more jobs? The employment effects of longer working hours

OpenAIRE

Martyn Andrews; Hans-Dieter Gerner; Thorsten Schank; Richard Upward

2015-01-01

Increases in standard hours of work have been a contentious policy issue in Germany. Whilst this might directly lead to a substitution of workers by hours, there may also be a positive employment effect due to reduced costs. Moreover, the response of firms may differ between firms that offer overtime and those that do not. For a panel of German plants (2001–2006) drawn from the IAB Establishment Panel, we are the first to analyse the effect of increased standard hours on employment. Using dif...

Long Working Hours and Work-related Cerebro-cardiovascular Disease in Korea

Science.gov (United States)

CHUNG, Yun Kyung; KWON, Young-jun

2013-01-01

The aim of the present study was to determine a good discriminatory cutoff for long working hours as a surrogate of chronic overload at work, which is associated with the approval of workers’ compensation claims for work-related cerebro-cardiovascular disease (WR-CVD) in Korea. We evaluated weekly working hours for four weeks prior to the onset of disease for all manufacturing industry claimants (N=319) of WR-CVD in 2010. The discrimination of long working hours in predicting approval of worker’s compensation pertaining to WR-CVD was compared across cases. The cutoff was calculated with sensitivity, specificity, and the area under the curve with 95% CI using the receiver operating curve (ROC) method. The cutoff point was thus calculated to be 60.75 h (AUC=0.89, 95% CI [0.84–0.93]), showing a sensitivity value of 65% and specificity of 94%. This is the first study to report that long working hours could be a predictor with good discrimination and high specificity of approval of WR-CVD cases. In Korea, long working hours and widespread chronic overload at work are recognized as a social problem. Our study results suggest an appropriate cutoff for working hours as an indicator of chronic overload for the purpose of approving claims of WR-CVD. Furthermore, these results could contribute to improving the consistency of evaluation. PMID:23892901

Long working hours and work-related cerebro-cardiovascular disease in Korea.

Science.gov (United States)

Chung, Yun Kyung; Kwon, Young-jun

2013-01-01

The aim of the present study was to determine a good discriminatory cutoff for long working hours as a surrogate of chronic overload at work, which is associated with the approval of workers' compensation claims for work-related cerebro-cardiovascular disease (WR-CVD) in Korea. We evaluated weekly working hours for four weeks prior to the onset of disease for all manufacturing industry claimants (N=319) of WR-CVD in 2010. The discrimination of long working hours in predicting approval of worker's compensation pertaining to WR-CVD was compared across cases. The cutoff was calculated with sensitivity, specificity, and the area under the curve with 95% CI using the receiver operating curve (ROC) method. The cutoff point was thus calculated to be 60.75 h (AUC=0.89, 95% CI [0.84-0.93]), showing a sensitivity value of 65% and specificity of 94%. This is the first study to report that long working hours could be a predictor with good discrimination and high specificity of approval of WR-CVD cases. In Korea, long working hours and widespread chronic overload at work are recognized as a social problem. Our study results suggest an appropriate cutoff for working hours as an indicator of chronic overload for the purpose of approving claims of WR-CVD. Furthermore, these results could contribute to improving the consistency of evaluation.

Fertility Intentions, Career Considerations and Subsequent Births: The Moderating Effects of Women's Work Hours.

Science.gov (United States)

Shreffler, Karina M; Johnson, David R

2013-09-01

Prior research indicates a negative relationship between women's labor force participation and fertility at the individual level in the United States, but little is known about the reasons for this relationship beyond work hours. We employed discrete event history models using panel data from the National Survey of Families and Households ( N = 2,411) and found that the importance of career considerations mediates the work hours/fertility relationship. Further, fertility intentions and the importance of career considerations were more predictive of birth outcomes as women's work hours increase. Ultimately, our findings challenge the assumption that working more hours is the direct cause for employed women having fewer children and highlight the importance of career and fertility preferences in fertility outcomes.

Developing predictive insight into changing water systems: use-inspired hydrologic science for the Anthropocene

Science.gov (United States)

Thompson, S. E.; Sivapalan, M.; Harman, C. J.; Srinivasan, V.; Hipsey, M. R.; Reed, P.; Montanari, A.; Blöschl, G.

2013-12-01

Globally, many different kinds of water resources management issues call for policy- and infrastructure-based responses. Yet responsible decision-making about water resources management raises a fundamental challenge for hydrologists: making predictions about water resources on decadal- to century-long timescales. Obtaining insight into hydrologic futures over 100 yr timescales forces researchers to address internal and exogenous changes in the properties of hydrologic systems. To do this, new hydrologic research must identify, describe and model feedbacks between water and other changing, coupled environmental subsystems. These models must be constrained to yield useful insights, despite the many likely sources of uncertainty in their predictions. Chief among these uncertainties are the impacts of the increasing role of human intervention in the global water cycle - a defining challenge for hydrology in the Anthropocene. Here we present a research agenda that proposes a suite of strategies to address these challenges from the perspectives of hydrologic science research. The research agenda focuses on the development of co-evolutionary hydrologic modeling to explore coupling across systems, and to address the implications of this coupling on the long-time behavior of the coupled systems. Three research directions support the development of these models: hydrologic reconstruction, comparative hydrology and model-data learning. These strategies focus on understanding hydrologic processes and feedbacks over long timescales, across many locations, and through strategic coupling of observational and model data in specific systems. We highlight the value of use-inspired and team-based science that is motivated by real-world hydrologic problems but targets improvements in fundamental understanding to support decision-making and management. Fully realizing the potential of this approach will ultimately require detailed integration of social science and physical science

Working hours and productivity

NARCIS (Netherlands)

Collewet, Marion; Sauermann, Jan

2017-01-01

This paper studies the link between working hours and productivity using daily information on working hours and performance of a sample of call centre agents. We exploit variation in the number of hours worked by the same employee across days and weeks due to central scheduling, enabling us to

29 CFR 778.320 - Hours that would not be hours worked if not paid for.

Science.gov (United States)

2010-07-01

... working hours fall in this category. The agreement of the parties to provide compensation for such hours... regular rate of an employee if the hours are compensated at the same rate as other working hours. The.... Activities of this type include eating meals between working hours. Where it appears from all the pertinent...

Comparison of anthropometric and training characteristics between recreational male marathoners and 24-hour ultramarathoners.

Science.gov (United States)

Rüst, Christoph Alexander; Knechtle, Beat; Knechtle, Patrizia; Rosemann, Thomas

2012-01-01

Of the anthropometry and training variables used to predict race performance in a 24-hour ultrarun, the personal best marathon time is the strongest predictor in recreational male 24-hour ultramarathoners. This finding raises the question of whether similarities exist between male recreational 24-hour ultramarathoners and male recreational marathoners. The association between age, anthropometric variables (ie, body mass, body height, body mass index, percent body fat, skeletal muscle mass, limb circumference, and skinfold thickness at the pectoral, mid axillary, triceps, subscapular, abdominal, suprailiac, front thigh, and medial calf sites), previous experience and training characteristics (ie, volume, speed, and personal best time), and race time for 79 male recreational 24-hour ultramarathoners and 126 male recreational marathoners was investigated using bivariate and multivariate analysis. The 24-hour ultramarathoners were older (P marathoners. During training, the 24-hour ultramarathoners were running for more hours per week (P marathoners. In the 24-hour ultramarathoners, neither anthropometric nor training variables were associated with kilometers completed in the race (P > 0.05). In the marathoners, percent body fat (P marathon race times. In summary, differences in anthropometric and training predictor variables do exist between male recreational 24-hour ultramarathoners and male recreational marathoners for race performance.

Working hours

OpenAIRE

Fialová, Lenka

2012-01-01

Working hours The aim of this thesis that I set was a comprehensive analysis of the working hours issue. The main purpose was to summarize this area of labor law while taking into account the Labour Code amendment which came into force on 1st January 2012. The changes in the related legal terms were also included into this thesis because of the mentioned changes. The thesis is composed of three chapters. Chapter One deals briefly with history of Labour Law and regulatory development. Author`s...

The desire and capability of Australian general practitioners to change their working hours.

Science.gov (United States)

Norman, Richard; Hall, Jane P

2014-04-21

To explore factors associated with general practitioners' desire to work less and their success in making that change. Waves 3 and 4 (conducted in 2010 and 2011) of a national longitudinal survey of Australian doctors in clinical practice (Medicine in Australia: Balancing Employment and Life). Of the broader group of medical practitioners in the survey, there were 3664 and 3436 GP completers in Waves 3 and 4, respectively. The association between the desire to reduce hours and doctor, job and geographic characteristics; the association between predictors of the capability to reduce hours and these same doctor, job and geographic characteristics. Over 40% of GPs stated a preference to reduce their working hours. Characteristics that predicted this preference were being middle-aged, being female, working ≥ 40 hours per week (all P working hours were being in excellent health, being satisfied or very satisfied with work (both P working hours, 26.8% successfully managed to do so in the subsequent year (where reduction was defined as reducing hours by at least 5 per week). Predictors of successfully reducing hours were being younger, female and working ≥ 40 hours per week (all P hours and their subsequent success in doing so. Declining working hours have contributed to the perceived shortage in GPs. Therefore, designing policies that address not just the absolute number of medical graduates but also their subsequent level of work may alleviate some of the pressures on the Australian primary health care system.

Sub-hourly impacts of high solar penetrations in the Western United States

Energy Technology Data Exchange (ETDEWEB)

Lew, Debra; Brinkman, Greg; Florita, Anthony; Heaney, Michael; Hodge, Bri-Mathias; Hummon, Marissa; Ibanez, Eduardo [National Renewable Energy Lab. (NREL), Golden, CO (United States); King, Jack [RePPAE, Wexford, PA (United States)

2012-07-01

Until recently, it has been difficult to study the impacts of significant penetrations of hypothetical, utility-scale solar photovoltaic (PV) plants over large geographic regions. This was because of the lack of credible data to simulate the output of these plants with appropriate spatial and temporal correlation, especially on a sub-hourly basis. In the Western Wind and Solar Integration Study Phase 2 (WWSIS2), we used new technigues to synthesize sub-hourly high-resolution solar output for PV rooftops, utility-scale PV, and concentrating solar power (CSP). This allowed us to examine implications of 25 % solar (60/40 split of PV and CSP) and 8 % wind. In this paper, we present results of analysis on the sub-hourly impacts of high solar penetrations. Extreme event analysis showed that most of the large ramps were because of sunrise and sunset events, which have a significant predictability component. Variability in general was much higher with high penetrations of solar than with high penetrations of wind. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability. Significantly less transmission was required for high solar penetrations than wind and significantly less curtailment occurred in the high solar cases. (orig.)

Past as Prediction: Newcomb, Huxley, The Eclipse of Thales, and The Power of Science

Science.gov (United States)

Stanley, Matthew

2009-12-01

The ancient eclipse of Thales was an important, if peculiar, focus of scientific attention in the 19th century. Victorian-era astronomers first used it as data with which to calibrate their lunar theories, but its status became strangely malleable as the century progressed. The American astronomer Simon Newcomb re-examined the eclipse and rejected it as the basis for lunar theory. But strangely, it was the unprecedented accuracy of Newcomb's calculations that led the British biologist T.H. Huxley to declare the eclipse to be the quintessential example of the power of science. Huxley argued that astronomy's ability to create "retrospective prophecy” showed how scientific reasoning was superior to religion (and incidentally, helped support Darwin's theories). Both Newcomb and Huxley declared that prediction (of past and future) was what gave science its persuasive power. The eclipse of Thales's strange journey through Victorian astronomy reveals how these two influential scientists made the case for the social and cultural authority of science.

Impact of states' nurse work hour regulations on overtime practices and work hours among registered nurses.

Science.gov (United States)

Bae, Sung-Heui; Yoon, Jangho

2014-10-01

To examine the degree to which states' work hour regulations for nurses-policies regarding mandatory overtime and consecutive work hours-decrease mandatory overtime practice and hours of work among registered nurses. We analyzed a nationally representative sample of registered nurses from the National Sample Survey of Registered Nurses for years 2004 and 2008. We obtained difference-in-differences estimates of the effect of the nurse work hour policies on the likelihood of working mandatory overtime, working more than 40 hours per week, and working more than 60 hours per week for all staff nurses working in hospitals and nursing homes. The mandatory overtime and consecutive work hour regulations were significantly associated with 3.9 percentage-point decreases in the likelihood of working overtime mandatorily and 11.5 percentage-point decreases in the likelihood of working more than 40 hours per week, respectively. State mandatory overtime and consecutive work hour policies are effective in reducing nurse work hours. The consecutive work hour policy appears to be a better regulatory tool for reducing long work hours for nurses. © Health Research and Educational Trust.

A Model for Hourly Solar Radiation Data Generation from Daily Solar Radiation Data Using a Generalized Regression Artificial Neural Network

OpenAIRE

Khatib, Tamer; Elmenreich, Wilfried

2015-01-01

This paper presents a model for predicting hourly solar radiation data using daily solar radiation averages. The proposed model is a generalized regression artificial neural network. This model has three inputs, namely, mean daily solar radiation, hour angle, and sunset hour angle. The output layer has one node which is mean hourly solar radiation. The training and development of the proposed model are done using MATLAB and 43800 records of hourly global solar radiation. The results show that...

A Science for Citizenship Model: Assessing the Effects of Benefits, Risks, and Trust for Predicting Students' Interest in and Understanding of Science-Related Content

Science.gov (United States)

Jack, Brady Michael; Lee, Ling; Yang, Kuay-Keng; Lin, Huann-shyang

2017-10-01

This study showcases the Science for Citizenship Model (SCM) as a new instructional methodology for presenting, to secondary students, science-related technology content related to the use of science in society not taught in the science curriculum, and a new approach for assessing the intercorrelations among three independent variables (benefits, risks, and trust) to predict the dependent variable of triggered interest in learning science. Utilizing a 50-minute instructional presentation on nanotechnology for citizenship, data were collected from 301 Taiwanese high school students. Structural equation modeling (SEM) and paired-samples t-tests were used to analyze the fitness of data to SCM and the extent to which a 50-minute class presentation of nanotechnology for citizenship affected students' awareness of benefits, risks, trust, and triggered interest in learning science. Results of SCM on pre-tests and post-tests revealed acceptable model fit to data and demonstrated that the strongest predictor of students' triggered interest in nanotechnology was their trust in science. Paired-samples t-test results on students' understanding of nanotechnology and their self-evaluated awareness of the benefits and risks of nanotechology, trust in scientists, and interest in learning science revealed low significant differences between pre-test and post-test. These results provide evidence that a short 50-minute presentation on an emerging science not normally addressed within traditional science curriculum had a significant yet limited impact on students' learning of nanotechnology in the classroom. Finally, we suggest why the results of this study may be important to science education instruction and research for understanding how the integration into classroom science education of short presentations of cutting-edge science and emerging technologies in support of the science for citizenship enterprise might be accomplished through future investigations.

The Productivity Of Working Hours

OpenAIRE

John Pencavel

2013-01-01

Observations on munition workers, most of them women, are organized to examine the relationship between their output and their working hours. The relationship is nonlinear: below an hours threshold, output is proportional to hours; above a threshold, output rises at a decreasing rate as hours increase. Implications of these results for the estimation of labor supply functions are taken up. The findings also link up with current research on the effects of long working hours on accidents and in...

The Impact Hazard in the Context of Other Natural Hazards and Predictive Science

Science.gov (United States)

Chapman, C. R.

1998-09-01

The hazard due to impact of asteroids and comets has been recognized as analogous, in some ways, to other infrequent but consequential natural hazards (e.g. floods and earthquakes). Yet, until recently, astronomers and space agencies have felt no need to do what their colleagues and analogous agencies must do in order the assess, quantify, and communicate predictions to those with a practical interest in the predictions (e.g. public officials who must assess the threats, prepare for mitigation, etc.). Recent heightened public interest in the impact hazard, combined with increasing numbers of "near misses" (certain to increase as Spaceguard is implemented) requires that astronomers accept the responsibility to place their predictions and assessments in terms that may be appropriately considered. I will report on preliminary results of a multi-year GSA/NCAR study of "Prediction in the Earth Sciences: Use and Misuse in Policy Making" in which I have represented the impact hazard, while others have treated earthquakes, floods, weather, global climate change, nuclear waste disposal, acid rain, etc. The impact hazard presents an end-member example of a natural hazard, helping those dealing with more prosaic issues to learn from an extreme. On the other hand, I bring to the astronomical community some lessons long adopted in other cases: the need to understand the policy purposes of impact predictions, the need to assess potential societal impacts, the requirements to very carefully assess prediction uncertainties, considerations of potential public uses of the predictions, awareness of ethical considerations (e.g. conflicts of interest) that affect predictions and acceptance of predictions, awareness of appropriate means for publicly communicating predictions, and considerations of the international context (especially for a hazard that knows no national boundaries).

Women's Representation in Science Predicts National Gender-Science Stereotypes: Evidence from 66 Nations

Science.gov (United States)

Miller, David I.; Eagly, Alice H.; Linn, Marcia C.

2015-01-01

In the past 40 years, the proportion of women in science courses and careers has dramatically increased in some nations but not in others. Our research investigated how national differences in women's science participation related to gender-science stereotypes that associate science with men more than women. Data from ~350,000 participants in 66…

Work shift duration: a review comparing eight hour and 12 hour shift systems.

Science.gov (United States)

Smith, L; Folkard, S; Tucker, P; Macdonald, I

1998-04-01

Shiftwork is now a major feature of working life across a broad range of industries. The features of the shift systems operated can impact on the wellbeing, performance, and sleep of shiftworkers. This paper reviews the current state of knowledge on one major characteristic of shift rotas-namely, shift duration. Evidence comparing the relative effects of eight hour and 12 hour shifts on fatigue and job performance, safety, sleep, and physical and psychological health are considered. At the organisational level, factors such as the mode of system implementation, attitudes towards shift rotas, sickness absence and turnover, overtime, and moonlighting are discussed. Manual and electronic searches of the shiftwork research literature were conducted to obtain information on comparisons between eight hour and 12 hour shifts. The research findings are largely equivocal. The bulk of the evidence suggests few differences between eight and 12 hour shifts in the way they affect people. There may even be advantages to 12 hour shifts in terms of lower stress levels, better physical and psychological wellbeing, improved durations and quality of off duty sleep as well as improvements in family relations. On the negative side, the main concerns are fatigue and safety. It is noted that a 12 hour shift does not equate with being active for only 12 hours. There can be considerable extension of the person's time awake either side of the shift. However, the effects of longer term exposure to extended work days have been relatively uncharted in any systematic way. Longitudinal comparative research into the chronic impact of the compressed working week is needed.

Science of science.

Science.gov (United States)

Fortunato, Santo; Bergstrom, Carl T; Börner, Katy; Evans, James A; Helbing, Dirk; Milojević, Staša; Petersen, Alexander M; Radicchi, Filippo; Sinatra, Roberta; Uzzi, Brian; Vespignani, Alessandro; Waltman, Ludo; Wang, Dashun; Barabási, Albert-László

2018-03-02

Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field. Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Computational data sciences for assessment and prediction of climate extremes

Science.gov (United States)

Ganguly, A. R.

2011-12-01

Climate extremes may be defined inclusively as severe weather events or large shifts in global or regional weather patterns which may be caused or exacerbated by natural climate variability or climate change. This area of research arguably represents one of the largest knowledge-gaps in climate science which is relevant for informing resource managers and policy makers. While physics-based climate models are essential in view of non-stationary and nonlinear dynamical processes, their current pace of uncertainty reduction may not be adequate for urgent stakeholder needs. The structure of the models may in some cases preclude reduction of uncertainty for critical processes at scales or for the extremes of interest. On the other hand, methods based on complex networks, extreme value statistics, machine learning, and space-time data mining, have demonstrated significant promise to improve scientific understanding and generate enhanced predictions. When combined with conceptual process understanding at multiple spatiotemporal scales and designed to handle massive data, interdisciplinary data science methods and algorithms may complement or supplement physics-based models. Specific examples from the prior literature and our ongoing work suggests how data-guided improvements may be possible, for example, in the context of ocean meteorology, climate oscillators, teleconnections, and atmospheric process understanding, which in turn can improve projections of regional climate, precipitation extremes and tropical cyclones in an useful and interpretable fashion. A community-wide effort is motivated to develop and adapt computational data science tools for translating climate model simulations to information relevant for adaptation and policy, as well as for improving our scientific understanding of climate extremes from both observed and model-simulated data.

Fixed Costs and Hours Constraints

Science.gov (United States)

Johnson, William R.

2011-01-01

Hours constraints are typically identified by worker responses to questions asking whether they would prefer a job with more hours and more pay or fewer hours and less pay. Because jobs with different hours but the same rate of pay may be infeasible when there are fixed costs of employment or mandatory overtime premia, the constraint in those…

Prediction of GNSS satellite clocks

International Nuclear Information System (INIS)

Broederbauer, V.

2010-01-01

This thesis deals with the characterisation and prediction of GNSS-satellite-clocks. A prerequisite to develop powerful algorithms for the prediction of clock-corrections is the thorough study of the behaviour of the different clock-types of the satellites. In this context the predicted part of the IGU-clock-corrections provided by the Analysis Centers (ACs) of the IGS was compared to the IGS-Rapid-clock solutions to determine reasonable estimates of the quality of already existing well performing predictions. For the shortest investigated interval (three hours) all ACs obtain almost the same accuracy of 0,1 to 0,4 ns. For longer intervals the individual predictions results start to diverge. Thus, for a 12-hours- interval the differences range from nearly 10 ns (GFZ, CODE) until up to some 'tens of ns'. Based on the estimated clock corrections provided via the IGS Rapid products a simple quadratic polynomial turns out to be sufficient to describe the time series of Rubidium-clocks. On the other hand Cesium-clocks show a periodical behaviour (revolution period) with an amplitude of up to 6 ns. A clear correlation between these amplitudes and the Sun elevation angle above the orbital planes can be demonstrated. The variability of the amplitudes is supposed to be caused by temperature-variations affecting the oscillator. To account for this periodical behaviour a quadratic polynomial with an additional sinus-term was finally chosen as prediction model both for the Cesium as well as for the Rubidium clocks. The three polynomial-parameters as well as amplitude and phase shift of the periodic term are estimated within a least-square-adjustment by means of program GNSS-VC/static. Input-data are time series of the observed part of the IGU clock corrections. With the estimated parameters clock-corrections are predicted for various durations. The mean error of the prediction of Rubidium-clock-corrections for an interval of six hours reaches up to 1,5 ns. For the 12-hours

Fertility Intentions, Career Considerations and Subsequent Births: The Moderating Effects of Women’s Work Hours

Science.gov (United States)

Johnson, David R.

2014-01-01

Prior research indicates a negative relationship between women’s labor force participation and fertility at the individual level in the United States, but little is known about the reasons for this relationship beyond work hours. We employed discrete event history models using panel data from the National Survey of Families and Households (N = 2,411) and found that the importance of career considerations mediates the work hours/fertility relationship. Further, fertility intentions and the importance of career considerations were more predictive of birth outcomes as women’s work hours increase. Ultimately, our findings challenge the assumption that working more hours is the direct cause for employed women having fewer children and highlight the importance of career and fertility preferences in fertility outcomes. PMID:25506189

Archiving Nganyi Weatherlore and Connecting with Modern Science of Rain Prediction: Challenges and Prospects

OpenAIRE

Simala, K Inyani

2010-01-01

World Oral Literature Project Workshop 2010 This paper discusses the integration of indigenous knowledge about rain prediction with modern meteorological forecasts in climate risk management to support community-based adaptation. The paper is based on research among the Nganyi community of Western Kenya to increase the visibility, effectiveness, sustainability and acceptability of local knowledge by integrating it with modern science rainfall forecasts. This research found that community m...

CERN restaurants: opening hours during summer

CERN Document Server

2016-01-01

In the summer, the three CERN restaurants remain open during their usual hours. On Monday 1st August and Thursday 8 September, the Restaurant 1 will be open from 7:00 a.m. to 10:00 p.m.   The satellites will be open as follows: Building 6: normal hours Building 13: normal hours Building 30: normal hours Building 40: closing at 4:30 p.m. instead of 5:00 pm Building 54: normal hours in July, closed in August Building 864: normal hours Building 865: normal hours Building 774: normal hours

The Professional Science Master's: The MBA for Science

Science.gov (United States)

Musante, Susan

2009-01-01

This article talks about Professional Science Master's (PSM) program. PSMs are gaining momentum across the nation. These highly specialized programs require credit hours in a specific scientific discipline as well as in business courses such as intellectual property rights, ethics, or business management, and an internship or other significant…

Efficacy of 2-hour post glucose insulin levels in predicting insulin resistance in polycystic ovarian syndrome with infertility

Directory of Open Access Journals (Sweden)

Pikee Saxena

2011-01-01

Full Text Available Background : Insulin resistance (IR is central to the pathogenesis of polycystic ovarian syndrome (PCOS, but tests for determining IR are elaborate, tedious and expensive. Aims : To evaluate if "2-hour post-glucose insulin level" is an effective indicator of IR and can aid in diagnosing IR in infertile PCOS women. Settings and Design : Observational study at infertility clinic of a tertiary care center. Materials and Methods : 50 infertile women with PCOS and 20 females with tubal/male factor infertility were evaluated for the presence of IR, as defined by the fasting/2-hour post-glucose insulin levels cutoffs of >25/>41 μU/mL, respectively. The clinical, metabolic and endocrinologic profile was determined in both the groups. Statistical Analysis : Statistical analysis was performed using SPSS (Chicago, IL, USA. Results : Body mass index, post load glucose, insulin, glucose/insulin ratio, area under curve (AUC of glucose and insulin and insulinogenic index were significantly lower in the controls as compared to the PCOS group. "2-hour post-glucose insulin levels" were elevated in 88% of PCOS individuals but were normal in all females not suffering from PCOS. These levels significantly correlated with AUC of glucose and insulin, and insulinogenic index and inversely correlated with 2-hour glucose to insulin ratio (r=0.827, 0.749 and −0.732, respectively. Conclusions : "2-hour post-glucose insulin levels" appears to be a good indicator of IR. It can be a useful tool, especially in low resource setting where a single sample can confirm the diagnosis, thus reducing cost and repeat visits.

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science. M Mandal. Articles written in Journal of Earth System Science. Volume 112 Issue 1 March 2003 pp 79-93. Impact of horizontal resolution on prediction of tropical cyclones over Bay of Bengal using a regional weather prediction model · M Mandal U C Mohanty K V J Potty A ...

Surface Weather Observations Hourly

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Standard hourly observations taken at Weather Bureau/National Weather Service offices and airports throughout the United States. Hourly observations began during the...

The Relation between Maternal Work Hours and Primary School Students’ Affect in China: The Role of the Frequency of Mother–Child Communication (FMCC) and Maternal Education

Science.gov (United States)

Zhou, Huan; Lv, Bo; Guo, Xiaolin; Liu, Chunhui; Qi, Bing; Hu, Weiping; Liu, Zhaomin; Luo, Liang

2017-01-01

Background: Although substantial evidence suggests that maternal work hours may have a negative effect on children’s cognitive development, the link between maternal work hours and children’s affect remains unclear. Some studies have observed that non-daytime maternal work hours are associated with more emotional problems among children. However, few studies have focused on the effects of maternal work hours on workdays and non-workdays. Therefore, this study separately investigated the relation between maternal work hours on workdays and on non-workdays and explored the mediating role of the frequency of mother-child communication (FMCC) and the moderating role of maternal education. Method: Using cluster sampling, this study selected 879 students in grades 4–6 at two primary schools in the Hebei and Shandong provinces in China and their mothers as the study subjects. A multi-group structural equation model (SEM) was used to test the relations between maternal work hours, FMCC and children’s affect and the moderating effect of maternal education. Results: (1) Non-college-educated mothers’ work hours on workdays negatively predicted FMCC, but there was no such effect for college-educated mothers; (2) non-workday work hours of all employed mothers negatively predicted FMCC; (3) the FMCC of all employed mothers positively predicted children’s positive affect; (4) the FMCC of college-educated mothers negatively predicted children’s negative affect although there was no such relation for non-college-educated mothers; (5) there was a significant mediating effect of FMCC on the relation between maternal work hours and children’s affect only for non-college-educated mothers; and (6) the workday work hours of non-college-educated mothers positively predicted children’s negative affect, but this correlation was negative for college-educated mothers. Conclusion: Maternal work hours have a marginally significant negative effect on children’s affect through

The Relation between Maternal Work Hours and Primary School Students' Affect in China: The Role of the Frequency of Mother-Child Communication (FMCC) and Maternal Education.

Science.gov (United States)

Zhou, Huan; Lv, Bo; Guo, Xiaolin; Liu, Chunhui; Qi, Bing; Hu, Weiping; Liu, Zhaomin; Luo, Liang

2017-01-01

Background: Although substantial evidence suggests that maternal work hours may have a negative effect on children's cognitive development, the link between maternal work hours and children's affect remains unclear. Some studies have observed that non-daytime maternal work hours are associated with more emotional problems among children. However, few studies have focused on the effects of maternal work hours on workdays and non-workdays. Therefore, this study separately investigated the relation between maternal work hours on workdays and on non-workdays and explored the mediating role of the frequency of mother-child communication (FMCC) and the moderating role of maternal education. Method: Using cluster sampling, this study selected 879 students in grades 4-6 at two primary schools in the Hebei and Shandong provinces in China and their mothers as the study subjects. A multi-group structural equation model (SEM) was used to test the relations between maternal work hours, FMCC and children's affect and the moderating effect of maternal education. Results: (1) Non-college-educated mothers' work hours on workdays negatively predicted FMCC, but there was no such effect for college-educated mothers; (2) non-workday work hours of all employed mothers negatively predicted FMCC; (3) the FMCC of all employed mothers positively predicted children's positive affect; (4) the FMCC of college-educated mothers negatively predicted children's negative affect although there was no such relation for non-college-educated mothers; (5) there was a significant mediating effect of FMCC on the relation between maternal work hours and children's affect only for non-college-educated mothers; and (6) the workday work hours of non-college-educated mothers positively predicted children's negative affect, but this correlation was negative for college-educated mothers. Conclusion: Maternal work hours have a marginally significant negative effect on children's affect through FMCC only for non

The Relation between Maternal Work Hours and Primary School Students’ Affect in China: The Role of the Frequency of Mother–Child Communication (FMCC and Maternal Education

Directory of Open Access Journals (Sweden)

Huan Zhou

2017-10-01

Full Text Available Background: Although substantial evidence suggests that maternal work hours may have a negative effect on children’s cognitive development, the link between maternal work hours and children’s affect remains unclear. Some studies have observed that non-daytime maternal work hours are associated with more emotional problems among children. However, few studies have focused on the effects of maternal work hours on workdays and non-workdays. Therefore, this study separately investigated the relation between maternal work hours on workdays and on non-workdays and explored the mediating role of the frequency of mother-child communication (FMCC and the moderating role of maternal education.Method: Using cluster sampling, this study selected 879 students in grades 4–6 at two primary schools in the Hebei and Shandong provinces in China and their mothers as the study subjects. A multi-group structural equation model (SEM was used to test the relations between maternal work hours, FMCC and children’s affect and the moderating effect of maternal education.Results: (1 Non-college-educated mothers’ work hours on workdays negatively predicted FMCC, but there was no such effect for college-educated mothers; (2 non-workday work hours of all employed mothers negatively predicted FMCC; (3 the FMCC of all employed mothers positively predicted children’s positive affect; (4 the FMCC of college-educated mothers negatively predicted children’s negative affect although there was no such relation for non-college-educated mothers; (5 there was a significant mediating effect of FMCC on the relation between maternal work hours and children’s affect only for non-college-educated mothers; and (6 the workday work hours of non-college-educated mothers positively predicted children’s negative affect, but this correlation was negative for college-educated mothers.Conclusion: Maternal work hours have a marginally significant negative effect on children�

Science Operations Management

Science.gov (United States)

Squibb, Gael F.

1984-10-01

The operation teams for the Infrared Astronomical Satellite (IRAS) included scientists from the IRAS International Science Team. The scientific decisions on an hour-to-hour basis, as well as the long-term strategic decisions, were made by science team members. The IRAS scientists were involved in the analysis of the instrument performance, the analysis of the quality of the data, the decision to reacquire data that was contaminated by radiation effects, the strategy for acquiring the survey data, and the process for using the telescope for additional observations, as well as the processing decisions required to ensure the publication of the final scientific products by end of flight operations plus one year. Early in the project, two science team members were selected to be responsible for the scientific operational decisions. One, located at the operations control center in England, was responsible for the scientific aspects of the satellite operations; the other, located at the scientific processing center in Pasadena, was responsible for the scientific aspects of the processing. These science team members were then responsible for approving the design and test of the tools to support their responsibilities and then, after launch, for using these tools in making their decisions. The ability of the project to generate the final science data products one year after the end of flight operations is due in a large measure to the active participation of the science team members in the operations. This paper presents a summary of the operational experiences gained from this scientific involvement.

Predicting Pre-Service Classroom Teachers' Civil Servant Recruitment Examination's Educational Sciences Test Scores Using Artificial Neural Networks

Science.gov (United States)

Demir, Metin

2015-01-01

This study predicts the number of correct answers given by pre-service classroom teachers in Civil Servant Recruitment Examination's (CSRE) educational sciences test based on their high school grade point averages, university entrance scores, and grades (mid-term and final exams) from their undergraduate educational courses. This study was…

Gender Differences and Predictors of Work Hours in a Sample of Ontario Dentists.

Science.gov (United States)

McKay, Julia C; Ahmad, Atyub; Shaw, Jodi L; Rashid, Faahim; Clancy, Alicia; David, Courtney; Figueiredo, Rafael; Quiñonez, Carlos

2016-11-01

To determine the influence of gender on weekly work hours of Ontario dentists. In 2012, a 52-item survey was sent to a random sample of 3000 Ontario dentists (1500 men and 1500 women) to collect information on personal, professional and sociodemographic characteristics. The resulting data were analyzed using descriptive statistics and linear regression modeling. The 867 respondents included 463 men, 401 women and 3 people whose gender was unreported, yielding a response rate of 29%.Most dentists worked full-time, with men working, on average, 2 h/week longer than women. Younger dentists worked more than older dentists. Practice ownership increased weekly work hours, and men reported ownership more often than women. Canadian-trained women worked significantly fewer hours than those trained internationally. Women were more likely than men to work part time and take parental leave and more often reported being primary caregivers and solely responsible for household chores. Women with partner support for such tasks worked more hours than those who were solely responsible. Dentists with children ≤ 3 years of age worked fewer hours than those without children; however, after controlling for spousal responsibility for caregiver duties, this effect was eliminated. More women than men reported making concessions in their career to devote time to family. Gender, age, practice ownership, training location and degree of spousal support for household and caregiving responsibilities were predictors of weekly work hours. For women specifically, training location and household and caregiving responsibilities predicted weekly work hours.

Assessing Individual Differences in Adaptation to Extreme Environments: A 36-Hour Sleep Deprivation Study

Science.gov (United States)

Martinez, Jacqueline; Cowings, Patricia S.; Toscano, William B.

2012-01-01

In space, astronauts may experience effects of cumulative sleep loss due to demanding work schedules that can result in cognitive performance impairments, mood state deteriorations, and sleep-wake cycle disruption. Individuals who experience sleep deprivation of six hours beyond normal sleep times experience detrimental changes in their mood and performance states. Hence, the potential for life threatening errors increases exponentially with sleep deprivation. We explored the effects of 36-hours of sleep deprivation on cognitive performance, mood states, and physiological responses to identify which metrics may best predict fatigue induced performance decrements of individuals.

Predicting growth of C. perfringens in ready-to-eat foods kept hot for three hours

DEFF Research Database (Denmark)

Hansen, Solvej Katrine Holm; Hansen, Tina Beck

2013-01-01

hours with varying characteristics such as pH, NaCl and cooling constant. Theoretical cooling constants were estimated at different locations in a small and large food (meatball and liver paste) using a variety of realistic heat transfer coefficients (5-500 W∙m-2∙K-1) in a simulation software. Based...

The predictive state: Science, territory and the future of the Indian climate.

Science.gov (United States)

Mahony, Martin

2014-02-01

Acts of scientific calculation have long been considered central to the formation of the modern nation state, yet the transnational spaces of knowledge generation and political action associated with climate change seem to challenge territorial modes of political order. This article explores the changing geographies of climate prediction through a study of the ways in which climate change is rendered knowable at the national scale in India. The recent controversy surrounding an erroneous prediction of melting Himalayan glaciers by the Intergovernmental Panel on Climate Change provides a window onto the complex and, at times, antagonistic relationship between the Panel and Indian political and scientific communities. The Indian reaction to the error, made public in 2009, drew upon a national history of contestation around climate change science and corresponded with the establishment of a scientific assessment network, the Indian Network for Climate Change Assessment, which has given the state a new platform on which to bring together knowledge about the future climate. I argue that the Indian Network for Climate Change Assessment is indicative of the growing use of regional climate models within longer traditions of national territorial knowledge-making, allowing a rescaling of climate change according to local norms and practices of linking scientific knowledge to political action. I illustrate the complex co-production of the epistemic and the normative in climate politics, but also seek to show how co-productionist understandings of science and politics can function as strategic resources in the ongoing negotiation of social order. In this case, scientific rationalities and modes of environmental governance contribute to the contested epistemic construction of territory and the evolving spatiality of the modern nation state under a changing climate.

Developing Interpretive Power in Science Teaching

Science.gov (United States)

Rosebery, Ann S.; Warren, Beth; Tucker-Raymond, Eli

2016-01-01

Early career teachers rarely receive sustained support for addressing issues of diversity and equity in their science teaching. This paper reports on design research to create a 30 hour professional development seminar focused on cultivating the interpretive power of early career teachers who teach science to students from historically…

Dst Prediction Based on Solar Wind Parameters

Directory of Open Access Journals (Sweden)

Yoon-Kyung Park

2009-12-01

Full Text Available We reevaluate the Burton equation (Burton et al. 1975 of predicting Dst index using high quality hourly solar wind data supplied by the ACE satellite for the period from 1998 to 2006. Sixty magnetic storms with monotonously decreasing main phase are selected. In order to determine the injection term (Q and the decay time (tau of the equation, we examine the relationships between Dst* and VB_s, Delta Dst* and VB_s, and Delta Dst* and Dst* during the magnetic storms. For this analysis, we take into account one hour of the propagation time from the ACE satellite to the magnetopause, and a half hour of the response time of the magnetosphere/ring current to the solar wind forcing. The injection term is found to be Q({nT}/h=-3.56VB_s for VB_s>0.5mV/m and Q({nT}/h=0 for VB_s leq0.5mV/m. The tau (hour is estimated as 0.060 Dst* + 16.65 for Dst*>-175nT and 6.15 hours for Dst* leq -175nT. Based on these empirical relationships, we predict the 60 magnetic storms and find that the correlation coefficient between the observed and predicted Dst* is 0.88. To evaluate the performance of our prediction scheme, the 60 magnetic storms are predicted again using the models by Burton et al. (1975 and O'Brien & McPherron (2000a. The correlation coefficients thus obtained are 0.85, the same value for both of the two models. In this respect, our model is slightly improved over the other two models as far as the correlation coefficients is concerned. Particularly our model does a better job than the other two models in predicting intense magnetic storms (Dst* lesssim -200nT.

Analysis of Office/Laboratory Staying Hour and Home Working Hour of Japanese Scientists and Engineers

Science.gov (United States)

Ejiri, A.

The second questionnaire for scientists and engineers was carried out in 2007, and status of Japanese scientists and engineers were analyzed and reported. A part of the data was reanalyzed from the viewpoint of work life balance. In particular, office/laboratory staying hour and home working hour were analyzed and dependences on various factors were investigated. It was found that these hours depend on gender, marital status, number of child, employment status and age. In addition, the total hours tend to be kept constant regardless of various factors.

Intercomparison of model predictions of tritium concentrations in soil and foods following acute airborne HTO exposure

International Nuclear Information System (INIS)

Barry, P.J.; Watkins, B.M.; Belot, Y.; Davis, P.A.; Edlund, O.; Galeriu, D.; Raskob, W.; Russell, S.; Togawa, O.

1998-01-01

This paper describes the results of a model intercomparision exercise for predicting tritium transport through foodchains. Modellers were asked to assume that farmland was exposed for one hour to an average concentration in air of 10 4 MBq tritium m -3 . They were given the initial soil moisture content and 30 days of hourly averaged historical weather and asked to predict HTO and OBT concentrations in foods at selected times up to 30 days later when crops were assumed to be harvested. Two fumigations were postulated, one at 10.00 h (i.e., in day-light), and the other at 24.00 h (i.e., in darkness).Predicted environmental media concentrations after the daytime exposure agreed within an order of magnitude in most cases. Important sources of differences were variations in choices of numerical values for transport parameters. The different depths of soil layers used in the models appeared to make important contributions to differences in predictions for the given scenario. Following the night-time exposure, however, greater differences in predicted concentrations appeared. These arose largely because of different ways key processes were assumed to be affected by darkness. Uptake of HTO by vegetation and the rate it is converted to OBT were prominent amongst these processes. Further research, experimental data and modelling intercomparisons are required to resolve some of these issues. (Copyright (c) 1998 Elsevier Science B.V., Amsterdam. All rights reserved.)

The Persistence of Long Work Hours

OpenAIRE

Robert Drago; David Black; Mark Wooden

2005-01-01

Previous research hypothesizes that long working hours are related to consumerism, the ideal worker norm, high levels of human capital, and a high cost-of-job-loss. The authors test these hypotheses using panel data on working hours for an Australian sample of full-time employed workers. Analyses include a static cross-sectional model and a persistence model for long hours over time. The results suggest that long hours (50 or more hours in a usual week) are often persistent, and provide stron...

The Scintillation Prediction Observations Research Task (SPORT): A Multinational Science Mission using a CubeSat

Science.gov (United States)

Spann, J. F.; Habash Krause, L.; Swenson, C.; Heelis, R. A.; Bishop, R. L.; Le, G.; Abdu, M. A.; Durão, O.; Loures, L.; De Nardin, C. M.; Shibuya, L.; Casas, J.; Nash-STevenson, S.; Muralikrishana, P.; Costa, J. E. R.; Wrasse, C. M.; Fry, C. D.

2017-12-01

The Scintillation Prediction Observations Research Task (SPORT) is a 6U CubeSat pathfinder mission to address the very compelling but difficult problem of understanding the preconditions leading to equatorial plasma bubbles. The scientific literature describes the preconditions in both the plasma drifts and the density profiles related to bubble formations that occur several hours later in the evening. Most of the scientific discovery has resulted from observations at the Jicamarca Radio Observatory from Peru, a single site, within a single longitude sector. SPORT will provide a systematic study of the state of the pre-bubble conditions at all longitudes sectors to allow us to understand the differences between geography and magnetic geometry. This talk will present an overview of the mission and the anticipated data products. Products include global maps of scintillation occurrence as a function of local time, and magnetic conjugacy occurrence observations. SPORT is a multinational partnership between NASA, the Brazilian National Institute for Space Research (INPE), and the Technical Aeronautics Institute under the Brazilian Air Force Command Department (DCTA/ITA). It has been encouraged by U.S. Southern Command (SOUTHCOM) to foster increased cooperation and ties between academics, civilian space programs and the militaries. NASA Marshall Space Flight Center is coordinating this investigation by overseeing the launch to orbit and the flight instruments, which are being built by the Aerospace Corporation, University of Texas Dallas, Utah State University, and NASA Goddard Space Flight Center. The Brazilian partners are contributing the spacecraft, observatory integration and test, ground observation networks, and mission operations and data management. The science data will be distributed from and archived at the INPE/EMBRACE regional space-weather forecasting center in Brazil, and mirrored at the NASA GSFC Space Physics Data Facility (SPDF).

10 CFR 26.205 - Work hours.

Science.gov (United States)

2010-01-01

... an 8-hour break between successive work periods when a break of less than 10 hours is necessary to...) Individuals who are working 8-hour shift schedules shall have at least 1 day off per week, averaged over the shift cycle; (ii) Individuals who are working 10-hour shift schedules shall have at least 2 days off per...

Predicting hospitalization in children with acute asthma.

Science.gov (United States)

Buyuktiryaki, A Betul; Civelek, Ersoy; Can, Demet; Orhan, Fazıl; Aydogan, Metin; Reisli, Ismail; Keskin, Ozlem; Akcay, Ahmet; Yazicioglu, Mehtap; Cokugras, Haluk; Yuksel, Hasan; Zeyrek, Dost; Kocak, A Kadir; Sekerel, Bulent E

2013-05-01

Acute asthma is one of the most common medical emergencies in children. Appropriate assessment/treatment and early identification of factors that predict hospitalization are critical for the effective utilization of emergency services. To identify risk factors that predict hospitalization and to compare the concordance of the Modified Pulmonary Index Score (MPIS) with the Global Initiative for Asthma (GINA) guideline criteria in terms of attack severity. The study population was composed of children aged 5-18 years who presented to the Emergency Departments (ED) of the tertiary reference centers of the country within a period of 3 months. Patients were evaluated at the initial presentation and the 1(st) and 4(th) hours. Of the 304 patients (median age: 8.0 years [interquartile range: 6.5-9.7]), 51.3% and 19.4% required oral corticosteroids (OCS) and hospitalization, respectively. Attack severity and MPIS were found as predicting factors for hospitalization, but none of the demographic characteristics collected predicted OCS use or hospitalization. Hospitalization status at the 1(st) hour with moderate/severe attack severity showed a sensitivity of 44.1%, specificity of 82.9%, positive predictive value of 38.2%, and negative predictive value of 86.0%; for MPIS ≥ 5, these values were 42.4%, 85.3%, 41.0%, and 86.0%, respectively. Concordance in prediction of hospitalization between the MPIS and the GINA guideline was found to be moderate at the 1(st) hour (κ = 0.577). Attack severity is a predictive factor for hospitalization in children with acute asthma. Determining attack severity with MPIS and a cut-off value ≥ 5 at the 1(st) hour may help physicians in EDs. Having fewer variables and the ability to calculate a numeric value with MPIS makes it an easy and useful tool in clinical practice. Copyright © 2013 Elsevier Inc. All rights reserved.

Applications of NASA and NOAA Satellite Observations by NASA's Short-term Prediction Research and Transition (SPoRT) Center in Response to Natural Disasters

Science.gov (United States)

Molthan, Andrew L.; Burks, Jason E.; McGrath, Kevin M.; Jedlovec, Gary J.

2012-01-01

NASA s Short-term Prediction Research and Transition (SPoRT) Center supports the transition of unique NASA and NOAA research activities to the operational weather forecasting community. SPoRT emphasizes real-time analysis and prediction out to 48 hours. SPoRT partners with NOAA s National Weather Service (NWS) Weather Forecast Offices (WFOs) and National Centers to improve current products, demonstrate future satellite capabilities and explore new data assimilation techniques. Recently, the SPoRT Center has been involved in several activities related to disaster response, in collaboration with NOAA s National Weather Service, NASA s Applied Sciences Disasters Program, and other partners.

Three Mile Island - The hour-by-hour account of what really happened

International Nuclear Information System (INIS)

Stephens, M.

1980-01-01

An hour-by-hour account is given of the progression of events leading up to and during the accident at the Three Mile Island Unit 2 reactor. The emergency procedures followed, the evacuation of local residents and the decisions taken as the possibility of a meltdown became apparent are recorded in detail together with aspects of the media coverage and the problems of communication. (U.K.)

Achieving a predictable 24-hour return to normal activities after breast augmentation: part II. Patient preparation, refined surgical techniques, and instrumentation.

Science.gov (United States)

Tebbetts, John B

2006-12-01

The goal of this study was to develop practices that would allow patients undergoing subpectoral augmentation to predictably return to full normal activities within 24 hours after the operation, free of postoperative adjuncts. Part I of this study used motion and time study principles to reduce operative times, medication dosages, perioperative morbidity, and recovery times in augmentation mammaplasty. Part II of the study focuses on details of patient education, preoperative planning, instrumentation, and surgical technique modifications that were identified, modified, and implemented to achieve the results reported in part I. Two groups of 16 patients each (groups 1 and 2) were studied retrospectively for comparison to a third group of 627 patients (group 3) studied prospectively. Patients in group 1 had axillary partial retropectoral breast augmentations in 1982-1983, using dissociative anesthesia, blunt instrument implant pocket dissection, and Dow Corning, double-lumen implants containing 20 mg of methylprednisolone and 20 cc of saline in the outer lumen of the implants. Patients in group 2 (1990) had inframammary, retromammary augmentations by using a combination of blunt and electrocautery dissection, Surgitek Replicon polyurethane-covered, silicone gel-filled implants, and general endotracheal anesthesia. Patients in group 3 (1998 to 2001, n = 627) had inframammary partial retropectoral, inframammary retromammary, and axillary partial retropectoral augmentations under general endotracheal anesthesia. Refined practices and surgical techniques from studies of groups 1 and 2 were applied in group 3. Videotapes from operative procedures of groups 1 and 2 were analyzed with macromotion and micromotion study principles, and tables of events were formulated for each move during the operation for all personnel in the operating room. Extensive details of surgical technique were examined and reexamined in 13 different stages by using principles of motion and time

Comparison of 24-hour urinary protein and protein-to-creatinine ratio in the assessment of proteinuria

International Nuclear Information System (INIS)

Wahbeh, Ayman M; Ewais, Mohammad H; Elsharif, Mahamed E

2009-01-01

To determine the correlation between protein-to-creatinine ratio (PCR) and 24-hour urinary protein (UP), we measured proteinuria in 68 patients attending the nephrology clinic at Jordan University Hospital by 24-hour urine protein excretion and protein-to-creatinine ratio. The cutoff values for spot urine protein-to-creatinine ratio in predicting 24-hour protein 'threshold' excretion of 0.5, 1.0 and 3.5 g/day were determined using receiver operating characteristic curves. A very good correlation (r= 0.832, P< 0.0001) was found between spot urine protein-to-creatinine ratio and 24-hour urine protein excretion. Bland-Altman plot showed the two tests had reasonable limits of agreement at low level of protein excretion but the limits became wider as the protein excretion increased. For protein excretion < 2.0 g/day, the limits of agreement of spot urine (PCR) and (UP) were +1.48 and -1.2 g/day. The spot urine protein-to-creatinine ratios of 0.72 (sensitivity 0.97; specificity 1.0), 1.2 (0.97; 0.89) and 3.23 (1.0; 0.86) mg/mg reliably predicted 24-hour urine total protein equivalent 'thresholds' of 0.5, 1.0 and 3.5 g/day, respectively. We conclude that the protein-to-creatinine ratio in spot urine specimens is an accurate, convenient, and reliable method to estimate the protein excretion in urine. However, the protein-to-creatinine ratio will likely be within clinically acceptable limits only when proteinuria is at reasonably low levels. (author)

Humanization of medical education: Need of the hour

Directory of Open Access Journals (Sweden)

K. A. Kumar

2014-01-01

Full Text Available Though the importance of psychological factors in maintenance of health, as well as etiology and prognosis of diseases have been recognized in ancient medicine by discerning and thoughtful clinicians in all ages, for the large majority of the practitioners such a perception has not been there. A cross-sectional, organ-based, and symptom-centered clinical approach was largely prevalent in day-to-day medicine. Medical training also followed more or less the same path. The positive psychological and behavioral qualities needed in the physician are left to the individual student to develop on his own during studies or to the physician afterwards. Some do, many do not. The importance of communication, doctor-patient relationship, empathy and psychological sensitivity in the making of a physician started getting identified in advanced medical universities in western countries by the middle of the last century. Since then behavioral science and medical humanities have been incorporated as important modules in the graduate medical training curriculum not only in advanced western medical universities, but also in good universities elsewhere. The situation in India, till now has been quite unsatisfactory. The undergraduate medical students had only 2 weeks of clinical posting and few hours of lectures, allotted for psychiatry: Even these were not actually carried out in many institutions properly. Responding to repeated representations from mental health experts in the country and abroad, medical universities and educationists, the Medical Council of India in 2012 has made 2 weeks of Residential Internship in Psychiatry (CRRI mandatory, and also recommended incorporation of medical humanities in the MBBS curriculum. The paper presents a brief outline of how a Clinical Behavioral Sciences Training Program l incorporating medical humanities can be developed and carried out as a mainstream component for the undergraduate medical training in the country. The

Predicting Ground Illuminance

Science.gov (United States)

Lesniak, Michael V.; Tregoning, Brett D.; Hitchens, Alexandra E.

2015-01-01

Our Sun outputs 3.85 x 1026 W of radiation, of which roughly 37% is in the visible band. It is directly responsible for nearly all natural illuminance experienced on Earth's surface, either in the form of direct/refracted sunlight or in reflected light bouncing off the surfaces and/or atmospheres of our Moon and the visible planets. Ground illuminance, defined as the amount of visible light intercepting a unit area of surface (from all incident angles), varies over 7 orders of magnitude from day to night. It is highly dependent on well-modeled factors such as the relative positions of the Sun, Earth, and Moon. It is also dependent on less predictable factors such as local atmospheric conditions and weather.Several models have been proposed to predict ground illuminance, including Brown (1952) and Shapiro (1982, 1987). The Brown model is a set of empirical data collected from observation points around the world that has been reduced to a smooth fit of illuminance against a single variable, solar altitude. It provides limited applicability to the Moon and for cloudy conditions via multiplicative reduction factors. The Shapiro model is a theoretical model that treats the atmosphere as a three layer system of light reflectance and transmittance. It has different sets of reflectance and transmittance coefficients for various cloud types.In this paper we compare the models' predictions to ground illuminance data from an observing run at the White Sands missile range (data was obtained from the United Kingdom's Meteorology Office). Continuous illuminance readings were recorded under various cloud conditions, during both daytime and nighttime hours. We find that under clear skies, the Shapiro model tends to better fit the observations during daytime hours with typical discrepancies under 10%. Under cloudy skies, both models tend to poorly predict ground illuminance. However, the Shapiro model, with typical average daytime discrepancies of 25% or less in many cases

How Well Does the SAT and GPA Predict the Retention of Science, Technology, Engineering, Mathematics, and Business Students

Science.gov (United States)

Rohr, Samuel L.

2013-01-01

This study examined the relationship between various admissions selection criteria utilized by a small, Liberal Arts College in Indiana. More specifically, the study examined if a higher college preparatory GPA and a higher aggregate score on the SAT helped predict the retention of science, technology, engineering, mathematics, and business…

Students' awareness of science teachers' leadership, attitudes toward science, and positive thinking

Science.gov (United States)

Lu, Ying-Yan; Chen, Hsiang-Ting; Hong, Zuway-R.; Yore, Larry D.

2016-09-01

There appears to be a complex network of cognitive and affective factors that influence students' decisions to study science and motivate their choices to engage in science-oriented careers. This study explored 330 Taiwanese senior high school students' awareness of their science teacher's learning leadership and how it relates to the students' attitudes toward science and positive thinking. Initial results revealed that the optimism of positive thinking is highly and positively correlated with the future participation in science and learning science in school attitudes toward science and self-concept in science. Moreover, structural equation modelling (SEM) results indicated that the subscale of teachers' leadership with idealised influence was the most predictive of students' attitudes toward science (β = .37), and the leadership with laissez-faire was predictive of students' positive thinking (β = .21). In addition, the interview results were consistent with the quantitative findings. The correlation and SEM results indicate some of the associations and potential relationships amongst the motivational and affective factors studied and students' attitudes toward and intentions to study science, which will increase their likelihood of future involvement in science careers.

On the Nature of Science

OpenAIRE

Jennings, B. K.

2006-01-01

A 21st century view of the nature of science is presented. It attempts to show how a consistent description of science and scientific progress can be given. Science advances through a sequence of models with progressively greater predictive power. The philosophical and metaphysical implications of the models change in unpredictable ways as the predictive power increases. The view of science arrived at is one based on instrumentalism. Philosophical realism can only be recovered by a subtle use...

Hourly Precipitation Data (HPD) Publication

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Hourly Precipitation Data (HPD) Publication is archived and available from the National Climatic Data Center (NCDC). This publication contains hourly precipitation...

Long working hours and cancer risk

DEFF Research Database (Denmark)

Heikkila, Katriina; Nyberg, Solja T.; Madsen, Ida E. H.

2016-01-01

in 116 462 men and women who were free of cancer at baseline. Incident cancers were ascertained from national cancer, hospitalisation and death registers; weekly working hours were self-reported. Results: During median follow-up of 10.8 years, 4371 participants developed cancer (n colorectal cancer: 393......Background: Working longer than the maximum recommended hours is associated with an increased risk of cardiovascular disease, but the relationship of excess working hours with incident cancer is unclear. Methods: This multi-cohort study examined the association between working hours and cancer risk......; n lung cancer: 247; n breast cancer: 833; and n prostate cancer: 534). We found no clear evidence for an association between working hours and the overall cancer risk. Working hours were also unrelated the risk of incident colorectal, lung or prostate cancers. Working greater than or equal to55 h...

Predictive power of the DASA-IV: Variations in rating method and timescales.

Science.gov (United States)

Nqwaku, Mphindisi; Draycott, Simon; Aldridge-Waddon, Luke; Bush, Emma-Louise; Tsirimokou, Alexandra; Jones, Dominic; Puzzo, Ignazio

2018-05-10

This project evaluated the predictive validity of the Dynamic Appraisal of Situational Aggression - Inpatient Version (DASA-IV) in a high-secure psychiatric hospital in the UK over 24 hours and over a single nursing shift. DASA-IV scores from three sequential nursing shifts over a 24-hour period were compared with the mean (average of three scores across the 24-hour period) and peak (highest of the three scores across the 24-hour period) scores across these shifts. In addition, scores from a single nursing shift were used to predict aggressive incidents over each of the following three shifts. The DASA-IV was completed by nursing staff during handover meetings, rating 43 male psychiatric inpatients over a period of 6 months. Data were compared to incident reports recorded over the same period. Receiver operating characteristic (ROC) curves and generalized estimating equations assessed the predictive ability of various DASA-IV scores over 24-hour and single-shift timescales. Scores from the DASA-IV based on a single shift had moderate predictive ability for aggressive incidents occurring the next calendar day, whereas scores based on all three shifts had excellent predictive ability. DASA-IV scores from a single shift showed moderate predictive ability for each of the following three shifts. The DASA-IV has excellent predictive ability for aggressive incidents within a secure setting when data are summarized over a 24-hour period, as opposed to when a single rating is taken. In addition, it has moderate value for predicting incidents over even shorter timescales. © 2018 Australian College of Mental Health Nurses Inc.

A Predictive Model to Classify Undifferentiated Fever Cases Based on Twenty-Four-Hour Continuous Tympanic Temperature Recording

Directory of Open Access Journals (Sweden)

Pradeepa H. Dakappa

2017-01-01

Full Text Available Diagnosis of undifferentiated fever is a major challenging task to the physician which often remains undiagnosed and delays the treatment. The aim of the study was to record and analyze a 24-hour continuous tympanic temperature and evaluate its utility in the diagnosis of undifferentiated fevers. This was an observational study conducted in the Kasturba Medical College and Hospitals, Mangaluru, India. A total of ninety-six (n=96 patients were presented with undifferentiated fever. Their tympanic temperature was recorded continuously for 24 hours. Temperature data were preprocessed and various signal characteristic features were extracted and trained in classification machine learning algorithms using MATLAB software. The quadratic support vector machine algorithm yielded an overall accuracy of 71.9% in differentiating the fevers into four major categories, namely, tuberculosis, intracellular bacterial infections, dengue fever, and noninfectious diseases. The area under ROC curve for tuberculosis, intracellular bacterial infections, dengue fever, and noninfectious diseases was found to be 0.961, 0.801, 0.815, and 0.818, respectively. Good agreement was observed [kappa = 0.618 (p<0.001, 95% CI (0.498–0.737] between the actual diagnosis of cases and the quadratic support vector machine learning algorithm. The 24-hour continuous tympanic temperature recording with supervised machine learning algorithm appears to be a promising noninvasive and reliable diagnostic tool.

Predictability of heavy sub-hourly precipitation amounts for a weather radar based nowcasting system

Science.gov (United States)

Bech, Joan; Berenguer, Marc

2015-04-01

Heavy precipitation events and subsequent flash floods are one of the most dramatic hazards in many regions such as the Mediterranean basin as recently stressed in the HyMeX (HYdrological cycle in the Mediterranean EXperiment) international programme. The focus of this study is to assess the quality of very short range (below 3 hour lead times) precipitation forecasts based on weather radar nowcasting system. Specific nowcasting amounts of 10 and 30 minutes generated with a nowcasting technique (Berenguer et al 2005, 2011) are compared against raingauge observations and also weather radar precipitation estimates observed over Catalonia (NE Spain) using data from the Meteorological Service of Catalonia and the Water Catalan Agency. Results allow to discuss the feasibility of issuing warnings for different precipitation amounts and lead times for a number of case studies, including very intense convective events with 30minute precipitation amounts exceeding 40 mm (Bech et al 2005, 2011). As indicated by a number of verification scores single based radar precipitation nowcasts decrease their skill quickly with increasing lead times and rainfall thresholds. This work has been done in the framework of the Hymex research programme and has been partly funded by the ProFEWS project (CGL2010-15892). References Bech J, N Pineda, T Rigo, M Aran, J Amaro, M Gayà, J Arús, J Montanyà, O van der Velde, 2011: A Mediterranean nocturnal heavy rainfall and tornadic event. Part I: Overview, damage survey and radar analysis. Atmospheric Research 100:621-637 http://dx.doi.org/10.1016/j.atmosres.2010.12.024 Bech J, R Pascual, T Rigo, N Pineda, JM López, J Arús, and M Gayà, 2007: An observational study of the 7 September 2005 Barcelona tornado outbreak. Natural Hazards and Earth System Science 7:129-139 http://dx.doi.org/10.5194/nhess-7-129-2007 Berenguer M, C Corral, R Sa0nchez-Diezma, D Sempere-Torres, 2005: Hydrological validation of a radar based nowcasting technique. Journal of

Predicting likelihood of seeking help through the employee assistance program among salaried and union hourly employees.

Science.gov (United States)

Delaney, W; Grube, J W; Ames, G M

1998-03-01

This research investigated belief, social support and background predictors of employee likelihood to use an Employee Assistance Program (EAP) for a drinking problem. An anonymous cross-sectional survey was administered in the home. Bivariate analyses and simultaneous equations path analysis were used to explore a model of EAP use. Survey and ethnographic research were conducted in a unionized heavy machinery manufacturing plant in the central states of the United States. A random sample of 852 hourly and salaried employees was selected. In addition to background variables, measures included: likelihood of going to an EAP for a drinking problem, belief the EAP can help, social support for the EAP from co-workers/others, belief that EAP use will harm employment, and supervisor encourages the EAP for potential drinking problems. Belief in EAP efficacy directly increased the likelihood of going to an EAP. Greater perceived social support and supervisor encouragement increased the likelihood of going to an EAP both directly and indirectly through perceived EAP efficacy. Black and union hourly employees were more likely to say they would use an EAP. Males and those who reported drinking during working hours were less likely to say they would use an EAP for a drinking problem. EAP beliefs and social support have significant effects on likelihood to go to an EAP for a drinking problem. EAPs may wish to focus their efforts on creating an environment where there is social support from coworkers and encouragement from supervisors for using EAP services. Union networks and team members have an important role to play in addition to conventional supervisor intervention.

Serum Creatinine Versus Plasma Methotrexate Levels to Predict Toxicities in Children Receiving High-dose Methotrexate.

Science.gov (United States)

Tiwari, Priya; Thomas, M K; Pathania, Subha; Dhawan, Deepa; Gupta, Y K; Vishnubhatla, Sreenivas; Bakhshi, Sameer

2015-01-01

Facilities for measuring methotrexate (MTX) levels are not available everywhere, potentially limiting administration of high-dose methotrexate (HDMTX). We hypothesized that serum creatinine alteration after HDMTX administration predicts MTX clearance. Overall, 122 cycles in 50 patients of non-Hodgkin lymphoma or acute lymphoblastic leukemia aged ≤18 years receiving HDMTX were enrolled prospectively. Plasma MTX levels were measured at 12, 24, 36, 48, 60, and 72 hours; serum creatinine was measured at baseline, 24, 48, and 72 hours. Correlation of plasma MTX levels with creatinine levels and changes in creatinine from baseline (Δ creatinine) were evaluated. Plasma MTX levels at 72 hours showed positive correlation with serum creatinine at 48 hours (P = .011) and 72 hours (P = .013) as also Δ creatinine at 48 hours (P = .042) and 72 hours (P = .045). However, cut-off value of either creatinine or Δ creatinine could not be established to reliably predict delayed MTX clearance. Greater than 50% Δ creatinine at 48 and 72 hours significantly predicted grade 3/4 leucopenia (P = .036 and P = .001, respectively) and thrombocytopenia (P = .012 and P = .009, respectively) but not mucositis (P = .827 and P = .910, respectively). Delayed MTX elimination did not predict any grade 3/4 toxicity. In spite of demonstration of significant correlation between serum creatinine and Δ creatinine with plasma MTX levels at 72 hours, cut-off value of either variable to predict MTX delay could not be established. Thus, either of these cannot be used as a surrogate for plasma MTX estimation. Interestingly, Δ creatinine effectively predicted hematological toxicities, which were not predicted by delayed MTX clearance.

CORRELATION OF SPOT URINE ALBUMIN AND 12-HOUR URINE PROTEIN WITH 24-HOUR URINE PROTEIN IN PRE-ECLAMPSIA

Directory of Open Access Journals (Sweden)

S. Vinayachandran

2017-11-01

Full Text Available BACKGROUND Pre-eclampsia is defined as the development of new-onset hypertension in the second half of pregnancy often accompanied by new-onset proteinuria with other signs and symptoms. Proteinuria is defined by the excretion of 300 mg or more of protein in a 24-hour urine collection. To avoid time consumed in collection of 24-hour urine specimens, efforts have been made to develop faster methods to determine concentration of urine protein. Preliminary studies have suggested that 12-hour urine protein collection maybe adequate for evaluation of pre-eclampsia with advantage of early diagnosis and treatment of pre-eclampsia as well as potential for early hospital discharge and increased compliance with specimen collection. The aim of the study is to evaluate and correlate spot urine albumin and 12-hour urine protein with 24-hour urine protein in pre-eclampsia. MATERIALS AND METHODS A diagnostic evaluation study- a 24-hour urine protein, 12-hour urine protein and spot urine albumin results are analysed. Correlation of 12-hour urine protein and spot urine albumin with 24-hour urine protein is analysed using SPSS software. The strength of correlation was measured by Pearson’s correlation coefficient (r. Student’s t-test and Chi-square tests were used to compare patients with and without 24-hour urine protein ≥300 mg. Probability value of 165 mg with 24-hour urine protein ≥300 mg suggest that this test has role in the evaluation of women with suspected pre-eclampsia and could be substituted for 24-hour urine protein as a simple, faster and cheaper method.

US Naval Observatory Hourly Observations

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Hourly observations journal from the National Observatory in Washington DC. The observatory is the first station in the United States to produce hourly observations...

Hours Constraints Within and Between Jobs

OpenAIRE

Euwals, R.W.

1997-01-01

In the empirical literature on labour supply, several models are developed to incorporate constraints on working hours. These models do not address the question to which extent working hours are constrained within and between jobs. In this paper I investigate the effect of individual changes in labour supply preferences on actual working hours. The availability of subjective information on the individual’s preferred working hours gives direct measures on the degree of adjustment of working ho...

Prediction of Lunar Reconnaissance Orbiter Reaction Wheel Assembly Angular Momentum Using Regression Analysis

Science.gov (United States)

DeHart, Russell

2017-01-01

This study determines the feasibility of creating a tool that can accurately predict Lunar Reconnaissance Orbiter (LRO) reaction wheel assembly (RWA) angular momentum, weeks or even months into the future. LRO is a three-axis stabilized spacecraft that was launched on June 18, 2009. While typically nadir-pointing, LRO conducts many types of slews to enable novel science collection. Momentum unloads have historically been performed approximately once every two weeks with the goal of maintaining system total angular momentum below 70 Nms; however flight experience shows the models developed before launch are overly conservative, with many momentum unloads being performed before system angular momentum surpasses 50 Nms. A more accurate model of RWA angular momentum growth would improve momentum unload scheduling and decrease the frequency of these unloads. Since some LRO instruments must be deactivated during momentum unloads and in the case of one instrument, decontaminated for 24 hours there after a decrease in the frequency of unloads increases science collection. This study develops a new model to predict LRO RWA angular momentum. Regression analysis of data from October 2014 to October 2015 was used to develop relationships between solar beta angle, slew specifications, and RWA angular momentum growth. The resulting model predicts RWA angular momentum using input solar beta angle and mission schedule data. This model was used to predict RWA angular momentum from October 2013 to October 2014. Predictions agree well with telemetry; of the 23 momentum unloads performed from October 2013 to October 2014, the mean and median magnitude of the RWA total angular momentum prediction error at the time of the momentum unloads were 3.7 and 2.7 Nms, respectively. The magnitude of the largest RWA total angular momentum prediction error was 10.6 Nms. Development of a tool that uses the models presented herein is currently underway.

Heart Rate Variability in Obstetricians Working 14-Hour Call Compared to 24-Hour Call in Labour and Delivery.

Science.gov (United States)

Thurman, Robin H; Yoon, Eugene; Murphy, Kellie E; Windrim, Rory; Farrugia, M Michéle

2017-12-01

Obstetricians have stressful and demanding jobs that may impact their health. A physiological measurement of cardiac function which varies with stress is heart rate variability (HRV). By measuring the cyclic variations in R-R intervals, or beat-to-beat differences, HRV reflects the continuous interplay of the controlling forces in the autonomic nervous system. Studies have shown HRV to be reduced during periods of work-induced stress, including 24-hour shifts. Our study aimed to determine if there was a correlation between length of shift worked and HRV. We hypothesised that working for a full 24-hour period is more stressful than a shorter, nighttime-only period, and HRV analyses were used to measure this objectively. Obstetricians wore an HRV monitor for 24 hours during both a regular day followed by a 14-hour night shift and a continuous 24-hour shift in labour and delivery. The 24-hour samples were analysed using standard HRV measurements. HRV measurements obtained from each physician were then compared according to shift type, with each physician acting as his or her own comparator. There were no statistically significant differences in the most important measures of HRV between 24-hour periods which included either a 14-hour overnight shift or a continuous 24-hour shift on labour and delivery. We found no significant differences in key HRV measures in obstetricians working 14 hours versus 24 hours in labour and delivery. An anecdotal increase in physician awareness of his/her own health related to working conditions was noted during the study. Future studies should attempt to control for the hours prior to a night shift, assess associated endocrine variations, and focus upon HRV in the post-shift period. Crown Copyright © 2017. Published by Elsevier Inc. All rights reserved.

Four-hour quantitative real-time polymerase chain reaction-based comprehensive chromosome screening and accumulating evidence of accuracy, safety, predictive value, and clinical efficacy.

Science.gov (United States)

Treff, Nathan R; Scott, Richard T

2013-03-15

Embryonic comprehensive chromosomal euploidy may represent a powerful biomarker to improve the success of IVF. However, there are a number of aneuploidy screening strategies to consider, including different technologic platforms with which to interrogate the embryonic DNA, and different embryonic developmental stages from which DNA can be analyzed. Although there are advantages and disadvantages associated with each strategy, a series of experiments producing evidence of accuracy, safety, clinical predictive value, and clinical efficacy indicate that trophectoderm biopsy and quantitative real-time polymerase chain reaction (qPCR)-based comprehensive chromosome screening (CCS) may represent a useful strategy to improve the success of IVF. This Biomarkers in Reproductive Medicine special issue review summarizes the accumulated experience with the development and clinical application of a 4-hour blastocyst qPCR-based CCS technology. Copyright © 2013 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Four hour creatinine clearance is better than plasma creatinine for monitoring renal function in critically ill patients

Science.gov (United States)

2012-01-01

Introduction Acute kidney injury (AKI) diagnosis is based on an increase in plasma creatinine, which is a slowly changing surrogate of decreased glomerular filtration rate. We investigated whether serial creatinine clearance, a direct measure of the glomerular filtration rate, provided more timely and accurate information on renal function than serial plasma creatinine in critically ill patients. Methods Serial plasma creatinine and 4-hour creatinine clearance were measured 12-hourly for 24 hours and then daily in 484 patients. AKI was defined either as > 50% increase in plasma creatinine from baseline, or > 33.3% decrease in creatinine clearance. The diagnostic and predictive performance of the two AKI definitions were compared. Results Creatinine clearance decrease diagnosed AKI in 24% of those not diagnosed by plasma creatinine increase on entry. These patients entered the ICU sooner after insult than those diagnosed with AKI by plasma creatinine elevation (P = 0.0041). Mortality and dialysis requirement increased with the change in creatinine clearance-acute kidney injury severity class (P = 0.0021). Amongst patients with plasma creatinine creatinine clearance improved the prediction of AKI considerably (Net Reclassification Improvement 83%, Integrated Discrimination Improvement 0.29). On-entry, creatinine clearance associated with AKI severity and duration (P 33.3% decrease in creatinine clearance over the first 12 hours was associated with a 2.0-fold increased relative risk of dialysis or death. Conclusions Repeated 4-hour creatinine clearance measurements in critically ill patients allow earlier detection of AKI, as well as progression and recovery compared to plasma creatinine. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN012606000032550. PMID:22713519

Duty Hour Reporting: Conflicting Values in Professionalism.

Science.gov (United States)

Byrne, John M; Loo, Lawrence K; Giang, Dan W

2015-09-01

Duty hour limits challenge professional values, sometimes forcing residents to choose between patient care and regulatory compliance. This may affect truthfulness in duty hour reporting. We assessed residents' reasons for falsifying duty hour reports. We surveyed residents in 1 sponsoring institution to explore the reasons for noncompliance, frequency of violations, falsification of reports, and the residents' awareness of the option to extend hours to care for a single patient. The analysis used descriptive statistics. Linear regression was used to explore falsification of duty hour reports by year of training. The response rate was 88% (572 of 650). Primary reasons for duty hour violations were number of patients (19%) and individual patient acuity/complexity (19%). Junior residents were significantly more likely to falsify duty hours (R = -0.966). Of 124 residents who acknowledged falsification, 51 (41%) identified the primary reason as concern that the program will be in jeopardy of violating the Accreditation Council for Graduate Medical Education (ACGME) duty hour limits followed by fear of punishment (34, 27%). This accounted for more than two-thirds of the primary reasons for falsification. Residents' falsification of duty hour data appears to be motivated by concerns about adverse actions from the ACGME, and fear they might be punished. To foster professionalism, we recommend that sponsoring institutions educate residents about professionalism in duty hour reporting. The ACGME should also convey the message that duty hour limits be applied in a no-blame systems-based approach, and allow junior residents to extend duty hours for the care of individual patients.

46 CFR 15.710 - Working hours.

Science.gov (United States)

2010-10-01

... 46 Shipping 1 2010-10-01 2010-10-01 false Working hours. 15.710 Section 15.710 Shipping COAST... Limitations and Qualifying Factors § 15.710 Working hours. In addition to prescribing watch requirements, 46 U.S.C. 8104 sets limitations on the working hours of credentialed officers and crew members...

75 FR 285 - Hours of Service

Science.gov (United States)

2010-01-05

... flexibility would not increase safety risks or adversely impact driver health? 3. How many hours per day and... period long enough to provide restorative sleep regardless of the number of hours worked prior to the... No. FMCSA-2004-19608] RIN 2126-AB26 Hours of Service AGENCY: Federal Motor Carrier Safety...

Poorer Health – Shorter Hours? Health and Flexibility of Hours of Work

OpenAIRE

Geyer, Johannes; Myck, Michal

2010-01-01

We analyse the role of health in determining the difference between desired and actual hours of work in a sample of German men using the Socio-Economic Panel Data for years 1996-2007. The effects of both self-assessed health and legal disability status are examined. About 60% of employees report working more than they would wish with the mean difference of -3.9 hours/week. We estimate static and dynamic model specifications allowing for auto-regressive nature of the dependent variable and tes...

[Relationships between walking hours, sleeping hours, meaningfulness of life (ikigai) and mortality in the elderly: prospective cohort study].

Science.gov (United States)

Seki, N

2001-07-01

The purpose of this study was to determine lifestyle factors in the elderly that affected longevity, using a population-based prospective study. The participants were 440 men and 625 women aged 60 to 74 living in a rural Japanese community. The baseline data such as age, sex, present illness, walking hours per day, sleeping hours per day, alcohol consumption, a history of smoking, and "ikigai" (meaningfulness of life) were collected in July 1990. During 90 months of follow-up from July 1990 to December 31 1997, there were 123 deaths. By Cox's multivariate hazard model adjusted age, sex, and medical histories, walking > or = 1 hour/day (HR = 0.63, 95% CI 0.44-0.91) and an "ikigai" (HR = 0.66, 95% CI 0.44-0.99) lowered the risk for all-cause mortality independently. In regard to hours of sleep, the cumulative survival curve showed that 7 hours/day was the border and sleeping > or = 7 hours/day lowered the risk (HR = 0.49 95% CI 0.33-0.74). Based on the findings in this study, walking > or = 1 hour/day, sleeping > or = 7 hours/day, and "ikigai" are important factors for longevity in the elderly.

Atrial Fibrillation Detection During 24-Hour Ambulatory Blood Pressure Monitoring: Comparison With 24-Hour Electrocardiography.

Science.gov (United States)

Kollias, Anastasios; Destounis, Antonios; Kalogeropoulos, Petros; Kyriakoulis, Konstantinos G; Ntineri, Angeliki; Stergiou, George S

2018-07-01

This study assessed the diagnostic accuracy of a novel 24-hour ambulatory blood pressure (ABP) monitor (Microlife WatchBP O3 Afib) with implemented algorithm for automated atrial fibrillation (AF) detection during each ABP measurement. One hundred subjects (mean age 70.6±8.2 [SD] years; men 53%; hypertensives 85%; 17 with permanent AF; 4 paroxysmal AF; and 79 non-AF) had simultaneous 24-hour ABP monitoring and 24-hour Holter monitoring. Among a total of 6410 valid ABP readings, 1091 (17%) were taken in ECG AF rhythm. In reading-to-reading ABP analysis, the sensitivity, specificity, and accuracy of ABP monitoring in detecting AF were 93%, 87%, and 88%, respectively. In non-AF subjects, 12.8% of the 24-hour ABP readings indicated false-positive AF, of whom 27% were taken during supraventricular premature beats. There was a strong association between the proportion of false-positive AF readings and that of supraventricular premature beats ( r =0.67; P ABP monitoring had 100%/85% sensitivity/specificity (area under the curve 0.91; P ABP monitor with AF detector has high sensitivity and moderate specificity for AF screening during routine ABP monitoring. Thus, in elderly hypertensives, a 24-hour ABP recording with at least 26% of the readings suggesting AF indicates a high probability for AF diagnosis and should be regarded as an indication for performing 24-hour Holter monitoring. © 2018 American Heart Association, Inc.

Ngram-derived pattern recognition for the detection and prediction of epileptic seizures.

Directory of Open Access Journals (Sweden)

Amir Eftekhar

Full Text Available This work presents a new method that combines symbol dynamics methodologies with an Ngram algorithm for the detection and prediction of epileptic seizures. The presented approach specifically applies Ngram-based pattern recognition, after data pre-processing, with similarity metrics, including the Hamming distance and Needlman-Wunsch algorithm, for identifying unique patterns within epochs of time. Pattern counts within each epoch are used as measures to determine seizure detection and prediction markers. Using 623 hours of intracranial electrocorticogram recordings from 21 patients containing a total of 87 seizures, the sensitivity and false prediction/detection rates of this method are quantified. Results are quantified using individual seizures within each case for training of thresholds and prediction time windows. The statistical significance of the predictive power is further investigated. We show that the method presented herein, has significant predictive power in up to 100% of temporal lobe cases, with sensitivities of up to 70-100% and low false predictions (dependant on training procedure. The cases of highest false predictions are found in the frontal origin with 0.31-0.61 false predictions per hour and with significance in 18 out of 21 cases. On average, a prediction sensitivity of 93.81% and false prediction rate of approximately 0.06 false predictions per hour are achieved in the best case scenario. This compares to previous work utilising the same data set that has shown sensitivities of up to 40-50% for a false prediction rate of less than 0.15/hour.

48 CFR 552.236-74 - Working Hours.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Working Hours. 552.236-74... Hours. As prescribed in 536.570-5, insert the following clause: Working Hours (APR 1984) (a) It is contemplated that all work will be performed during the customary working hours of the trades involved unless...

Living hours under pressure

DEFF Research Database (Denmark)

Ilsøe, Anna; Larsen, Trine Pernille; Felbo-Kolding, Jonas

2017-01-01

Purpose The purpose of this paper is to investigate the effect of part-time work on absolute wages. The empirical focus is wages and working hours in three selected sectors within private services in the Danish labour market – industrial cleaning, retail, hotels and restaurants – and their agreem......Purpose The purpose of this paper is to investigate the effect of part-time work on absolute wages. The empirical focus is wages and working hours in three selected sectors within private services in the Danish labour market – industrial cleaning, retail, hotels and restaurants...... in industrial cleaning includes a minimum floor of 15 weekly working hours – this is not the case in retail, hotels and restaurants. This creates a loophole in the latter two sectors that can be exploited by employers to gain wage flexibility through part-time work. Originality/value The living wage literature...

Productivity in physical and chemical science predicts the future economic growth of developing countries better than other popular indices.

Science.gov (United States)

Jaffe, Klaus; Caicedo, Mario; Manzanares, Marcos; Gil, Mario; Rios, Alfredo; Florez, Astrid; Montoreano, Claudia; Davila, Vicente

2013-01-01

Scientific productivity of middle income countries correlates stronger with present and future wealth than indices reflecting its financial, social, economic or technological sophistication. We identify the contribution of the relative productivity of different scientific disciplines in predicting the future economic growth of a nation. Results show that rich and poor countries differ in the relative proportion of their scientific output in the different disciplines: countries with higher relative productivity in basic sciences such as physics and chemistry had the highest economic growth in the following five years compared to countries with a higher relative productivity in applied sciences such as medicine and pharmacy. Results suggest that the economies of middle income countries that focus their academic efforts in selected areas of applied knowledge grow slower than countries which invest in general basic sciences.

Extended working hours: Impacts on workers

Science.gov (United States)

D. Mitchell; T. Gallagher

2010-01-01

Some logging business owners are trying to manage their equipment assets by increasing the scheduled machine hours. The intent is to maximize the total tons produced by a set of equipment. This practice is referred to as multi-shifting, double-shifting, or extended working hours. One area often overlooked is the impact that working non-traditional hours can have on...

Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation

International Nuclear Information System (INIS)

Voyant, Cyril; Muselli, Marc; Paoli, Christophe; Nivet, Marie-Laure

2012-01-01

We propose in this paper an original technique to predict global radiation using a hybrid ARMA/ANN model and data issued from a numerical weather prediction model (NWP). We particularly look at the multi-layer perceptron (MLP). After optimizing our architecture with NWP and endogenous data previously made stationary and using an innovative pre-input layer selection method, we combined it to an ARMA model from a rule based on the analysis of hourly data series. This model has been used to forecast the hourly global radiation for five places in Mediterranean area. Our technique outperforms classical models for all the places. The nRMSE for our hybrid model MLP/ARMA is 14.9% compared to 26.2% for the naïve persistence predictor. Note that in the standalone ANN case the nRMSE is 18.4%. Finally, in order to discuss the reliability of the forecaster outputs, a complementary study concerning the confidence interval of each prediction is proposed. -- Highlights: ► Time series forecasting with hybrid method based on the use of ALADIN numerical weather model, ANN and ARMA. ► Innovative pre-input layer selection method. ► Combination of optimized MLP and ARMA model obtained from a rule based on the analysis of hourly data series. ► Stationarity process (method and control) for the global radiation time series.

Changing the formula of residents' work hours in internal medicine: moving from "years in training" to "hours in training".

Science.gov (United States)

Mansi, Ishak A

2011-03-01

In a recent report, the Institute of Medicine recommended more restrictions on residents' working hours. Several problems exist with a system that places a weekly limit on resident duty hours: (1) it assumes the presence of a linear relationship between hours of work and patient safety; (2) it fails to consider differences in intensity among programs; and (3) it does not address increases in the scientific content of medicine, and it places the burden of enforcing the duty hour limits on the Accreditation Council for Graduate Medical Education. An innovative method of calculating credit hours for graduate medical education would shift the focus from "years of residency" to "hours of residency." For example, internal medicine residents would be requested to spend 8640 hours of total training hours (assuming 60 hours per week for 48 weeks annually) instead of the traditional 3 years. This method of counting training hours is used by other professions, such as the Intern Development Program of the National Council of Architectural Registration Boards. The proposed approach would allow residents and program directors to pace training based on individual capabilities. Standards for resident education should include the average number of patients treated in each setting (inpatient or outpatient). A possible set of "multipliers" based on these parameters, and possibly others such as resident evaluation, is devised to calculate the "final adjusted accredited hours" that count toward graduation. Substituting "years of training" with "hours of training" may resolve many of the concerns with the current residency education model, as well as adapt to the demands of residents' personal lives. It also may allow residents to pace their training according to their capabilities and learning styles, and contribute to reflective learning and better quality education.

Agreement between 24-hour salt ingestion and sodium excretion in a controlled environment.

Science.gov (United States)

Lerchl, Kathrin; Rakova, Natalia; Dahlmann, Anke; Rauh, Manfred; Goller, Ulrike; Basner, Mathias; Dinges, David F; Beck, Luis; Agureev, Alexander; Larina, Irina; Baranov, Victor; Morukov, Boris; Eckardt, Kai-Uwe; Vassilieva, Galina; Wabel, Peter; Vienken, Jörg; Kirsch, Karl; Johannes, Bernd; Krannich, Alexander; Luft, Friedrich C; Titze, Jens

2015-10-01

Accurately collected 24-hour urine collections are presumed to be valid for estimating salt intake in individuals. We performed 2 independent ultralong-term salt balance studies lasting 105 (4 men) and 205 (6 men) days in 10 men simulating a flight to Mars. We controlled dietary intake of all constituents for months at salt intakes of 12, 9, and 6 g/d and collected all urine. The subjects' daily menus consisted of 27 279 individual servings, of which 83.0% were completely consumed, 16.5% completely rejected, and 0.5% incompletely consumed. Urinary recovery of dietary salt was 92% of recorded intake, indicating long-term steady-state sodium balance in both studies. Even at fixed salt intake, 24-hour urine collection for sodium excretion (UNaV) showed infradian rhythmicity. We defined a ±25 mmol deviation from the average difference between recorded sodium intake and UNaV as the prediction interval to accurately classify a 3-g difference in salt intake. Because of the biological variability in UNaV, only every other daily urine sample correctly classified a 3-g difference in salt intake (49%). By increasing the observations to 3 consecutive 24-hour collections and sodium intakes, classification accuracy improved to 75%. Collecting seven 24-hour urines and sodium intake samples improved classification accuracy to 92%. We conclude that single 24-hour urine collections at intakes ranging from 6 to 12 g salt per day were not suitable to detect a 3-g difference in individual salt intake. Repeated measurements of 24-hour UNaV improve precision. This knowledge could be relevant to patient care and the conduct of intervention trials. © 2015 American Heart Association, Inc.

Hourly cooling load forecasting using time-indexed ARX models with two-stage weighted least squares regression

International Nuclear Information System (INIS)

Guo, Yin; Nazarian, Ehsan; Ko, Jeonghan; Rajurkar, Kamlakar

2014-01-01

Highlights: • Developed hourly-indexed ARX models for robust cooling-load forecasting. • Proposed a two-stage weighted least-squares regression approach. • Considered the effect of outliers as well as trend of cooling load and weather patterns. • Included higher order terms and day type patterns in the forecasting models. • Demonstrated better accuracy compared with some ARX and ANN models. - Abstract: This paper presents a robust hourly cooling-load forecasting method based on time-indexed autoregressive with exogenous inputs (ARX) models, in which the coefficients are estimated through a two-stage weighted least squares regression. The prediction method includes a combination of two separate time-indexed ARX models to improve prediction accuracy of the cooling load over different forecasting periods. The two-stage weighted least-squares regression approach in this study is robust to outliers and suitable for fast and adaptive coefficient estimation. The proposed method is tested on a large-scale central cooling system in an academic institution. The numerical case studies show the proposed prediction method performs better than some ANN and ARX forecasting models for the given test data set

Science Teachers' Drawings of What Is inside the Human Body

Science.gov (United States)

Patrick, Patricia G.; Tunnicliffe, Sue Dale

2010-01-01

The purpose of this study was to report United States of America (USA) science teachers' understandings of the internal structures of the human body. The 71 science teachers who participated in this study attended a frog/pig, two-hour dissection workshop at the 2004 National Science Teachers Association (NSTA) conference in Atlanta, Georgia. The…

Collaborative Science: Human Sensor Networks for Real-time Natural Disaster Prediction

Science.gov (United States)

Halem, M.; Yesha, Y.; Aulov, O.; Martineau, J.; Brown, S.; Conte, T.; CenterHybrid Multicore Productivity Research

2010-12-01

We have implemented a ‘Human Sensor Network’ as a real time collaborative science data observing system by collecting and integrating the vast untapped information potential of digital social media data sources occurring during the oil spill situation arising from the Macondo well in the Gulf of Mexico. We collected, and archived blogs, Twitter status updates (aka tweets), photographs posted to Flicker, and videos posted to YouTube related to the Gulf oil spill and processed the meta data, text, and photos to extract quantitative physical data such as locations and estimates of the severity and dispersion of oil being collected on the beaches and marshes, frequencies of observations of tar ball sightings, correlations of sightings from different media, numbers of dead or distressed animals, trends, etc. These data were then introduced into the NOAA operational Gnome oil spill predictive model as time dependent boundary conditions employing a 2-D variational data assimilation scheme. The three participating institutions employed a distributed cloud computing system for the processing and model executions. In this presentation, we conducted preliminary forecast impact tests of the Gnome model with and without the use of social media data using a 2-D variational data assimilation technique. The 2-D VAR is used to adjust the state variables of the model by recursively minimizing the differences between oil spill predictions reaching locations across the entire coastlines of the Gulf of Mexico and the estimated positions of oil derived from analyzed social media data. Ensemble forecasts will be performed to provide estimates of the rates of oil and surface oil distributions emanating from the Deepwater Horizon. We display the derived predictions from the photos and animations from Flicker, YouTube, and extracted content from tweets and blogs in a dynamic representation on very large tiled walls of LCDs at the UCSD Cal IT2 visualization facility. We describe the

Transcutaneous Bilirubin Nomogram for Healthy Term and Late Preterm Neonates in First 96 Hours of Life.

Science.gov (United States)

Thakkar, Pareshkumar; Chavda, Hardas; Doshi, Vikas

2017-05-15

To develop nomogram of Transcutaneous Bilirubin among healthy term and late-preterm neonates during first 96 hours of age. Longitudinal observational study. Neonatal unit of a tertiary care Hospital of Central Gujarat, India. 1075 healthy term and late preterm neonates (≥35weeks). Six-hourly transcutaneous bilirubin was obtained from birth to 96 hour of life using Drager JM 103 Transcutaneous Bilirubinometer. Main outcome measures: Nomogram of Transcutaneous Bilirubin with percentile values was obtained, rate of rise of bilirubin was calculated and predictive ability of normative data was analyzed for subsequent need of phototherapy. The age-specific percentile curves and nomogram were developed from the transcutaneous bilirubin readings of 1,010 neonates. Rate of rise in first 12 hour was 0.2 mg/dL and was 0.17 mg/dL in 12 to 24 hour of life which decreased on second day of life. Neonates who required phototherapy had consistently higher readings of transcutaneous bilirubin and also higher rate of rise in first 48 hrs. Neonates whose transcutaneous bilirubin is above the 50th percentile should be monitored for the development of significant hyperbilirubinemia.

Linking Science of Flood Forecasts to Humanitarian Actions for Improved Preparedness and Effective Response

Science.gov (United States)

Uprety, M.; Dugar, S.; Gautam, D.; Kanel, D.; Kshetri, M.; Kharbuja, R. G.; Acharya, S. H.

2017-12-01

Advances in flood forecasting have provided opportunities for humanitarian responders to employ a range of preparedness activities at different forecast time horizons. Yet, the science of prediction is less understood and realized across the humanitarian landscape, and often preparedness plans are based upon average level of flood risk. Working under the remit of Forecast Based Financing (FbF), we present a pilot from Nepal on how available flood and weather forecast products are informing specific pre-emptive actions in the local preparedness and response plans, thereby supporting government stakeholders and humanitarian agencies to take early actions before an impending flood event. In Nepal, forecasting capabilities are limited but in a state of positive flux. Whilst local flood forecasts based upon rainfall-runoff models are yet to be operationalized, streamflow predictions from Global Flood Awareness System (GLoFAS) can be utilized to plan and implement preparedness activities several days in advance. Likewise, 3-day rainfall forecasts from Nepal Department of Hydrology and Meteorology (DHM) can further inform specific set of early actions for potential flash floods due to heavy precipitation. Existing community based early warning systems in the major river basins of Nepal are utilizing real time monitoring of water levels and rainfall together with localised probabilistic flood forecasts which has increased warning lead time from 2-3 hours to 7-8 hours. Based on these available forecast products, thresholds and trigger levels have been determined for different flood scenarios. Matching these trigger levels and assigning responsibilities to relevant actors for early actions, a set of standard operating procedures (SOPs) are being developed, broadly covering general preparedness activities and science informed anticipatory actions for different forecast lead times followed by the immediate response activities. These SOPs are currently being rolled out and

Measuring and Predicting Sleep and Performance During Military Operations

Science.gov (United States)

2012-08-23

strengths of this modeling approach is that accurate predictions of fatigue, performance, or alert- ness can be made from observed sleep timing...and, in which fatigue, performance, or alertness predictions are required prior to the task. Limitations of Current Models The strengths and...mean ± SD, 35.9 ± 1.2 hours), crews flew to Auckland , New Zealand, where another short layover was un- dertaken (23.6 ± 0.95 hours). A final flight

Long working hours and depressive symptoms

DEFF Research Database (Denmark)

Virtanen, Marianna; Jokela, Markus; Madsen, Ida Eh

2018-01-01

Objectives This systematic review and meta-analysis combined published study-level data and unpublished individual-participant data with the aim of quantifying the relation between long working hours and the onset of depressive symptoms. Methods We searched PubMed and Embase for published....... In the majority of cohorts, long working hours was defined as working ≥55 hours per week. In multivariable-adjusted meta-analyses of 189 729 participants from 35 countries [96 275 men, 93 454 women, follow-up ranging from 1-5 years, 21 747 new-onset cases), there was an overall association of 1.14 (95% confidence...... interval (CI) 1.03-1.25] between long working hours and the onset of depressive symptoms, with significant evidence of heterogeneity (I 2=45.1%, P=0.004). A moderate association between working hours and depressive symptoms was found in Asian countries (1.50, 95% CI 1.13-2.01), a weaker association...

Long working hours and depressive symptoms

DEFF Research Database (Denmark)

Virtanen, Marianna; Jokela, Markus; Madsen, Ida Eh

2018-01-01

. In the majority of cohorts, long working hours was defined as working ≥55 hours per week. In multivariable-adjusted meta-analyses of 189 729 participants from 35 countries [96 275 men, 93 454 women, follow-up ranging from 1-5 years, 21 747 new-onset cases), there was an overall association of 1.14 (95% confidence......Objectives This systematic review and meta-analysis combined published study-level data and unpublished individual-participant data with the aim of quantifying the relation between long working hours and the onset of depressive symptoms. Methods We searched PubMed and Embase for published...... interval (CI) 1.03-1.25] between long working hours and the onset of depressive symptoms, with significant evidence of heterogeneity (I 2=45.1%, P=0.004). A moderate association between working hours and depressive symptoms was found in Asian countries (1.50, 95% CI 1.13-2.01), a weaker association...

Comparison of anthropometric and training characteristics between recreational male marathoners and 24-hour ultramarathoners

Directory of Open Access Journals (Sweden)

Rüst CA

2012-10-01

Full Text Available Christoph Alexander Rüst,1 Beat Knechtle,1,2 Patrizia Knechtle,2 Thomas Rosemann11Institute of General Practice and for Health Services Research, University of Zurich, Zurich, 2Gesundheitszentrum St Gallen, St Gallen, SwitzerlandBackground: Of the anthropometry and training variables used to predict race performance in a 24-hour ultrarun, the personal best marathon time is the strongest predictor in recreational male 24-hour ultramarathoners. This finding raises the question of whether similarities exist between male recreational 24-hour ultramarathoners and male recreational marathoners.Methods: The association between age, anthropometric variables (ie, body mass, body height, body mass index, percent body fat, skeletal muscle mass, limb circumference, and skinfold thickness at the pectoral, mid axillary, triceps, subscapular, abdominal, suprailiac, front thigh, and medial calf sites, previous experience and training characteristics (ie, volume, speed, and personal best time, and race time for 79 male recreational 24-hour ultramarathoners and 126 male recreational marathoners was investigated using bivariate and multivariate analysis.Results: The 24-hour ultramarathoners were older (P < 0.05, had a lower circumference at both the upper arm (P < 0.05 and thigh (P < 0.01, and a lower skinfold thickness at the pectoral, axillary, and suprailiac sites (P < 0.05 compared with the marathoners. During training, the 24-hour ultramarathoners were running for more hours per week (P < 0.001 and completed more kilometers (P < 0.001, but were running slower (P < 0.01 compared with the marathoners. In the 24-hour ultramarathoners, neither anthropometric nor training variables were associated with kilometers completed in the race (P > 0.05. In the marathoners, percent body fat (P < 0.001 and running speed during training (P < 0.0001 were related to marathon race times.Conclusion: In summary, differences in anthropometric and training predictor variables do

Analysis and comparison of safety models using average daily, average hourly, and microscopic traffic.

Science.gov (United States)

Wang, Ling; Abdel-Aty, Mohamed; Wang, Xuesong; Yu, Rongjie

2018-02-01

There have been plenty of traffic safety studies based on average daily traffic (ADT), average hourly traffic (AHT), or microscopic traffic at 5 min intervals. Nevertheless, not enough research has compared the performance of these three types of safety studies, and seldom of previous studies have intended to find whether the results of one type of study is transferable to the other two studies. First, this study built three models: a Bayesian Poisson-lognormal model to estimate the daily crash frequency using ADT, a Bayesian Poisson-lognormal model to estimate the hourly crash frequency using AHT, and a Bayesian logistic regression model for the real-time safety analysis using microscopic traffic. The model results showed that the crash contributing factors found by different models were comparable but not the same. Four variables, i.e., the logarithm of volume, the standard deviation of speed, the logarithm of segment length, and the existence of diverge segment, were positively significant in the three models. Additionally, weaving segments experienced higher daily and hourly crash frequencies than merge and basic segments. Then, each of the ADT-based, AHT-based, and real-time models was used to estimate safety conditions at different levels: daily and hourly, meanwhile, the real-time model was also used in 5 min intervals. The results uncovered that the ADT- and AHT-based safety models performed similar in predicting daily and hourly crash frequencies, and the real-time safety model was able to provide hourly crash frequency. Copyright © 2017 Elsevier Ltd. All rights reserved.

Verification of two simple meteorological models at large travel distances using ten-hour 85Kr measurements

International Nuclear Information System (INIS)

Pendergast, M.M.

1978-01-01

This report evaluates the wind-rose model and a trajectory model for calculating air concentrations averaged over 10 hours at distances greater than 100 km. Ten-hour averaged 85 Kr air concentrations from 13 sites located withing 143 km of the Savannah River Plant (SRP) were used to evaluate two simple models: a wind-rose model, and a trajectory model. The wind-rose model has previously been shown to estimate annual average concentrations to within a factor of four for travel distances of about 100 km. When 85 Kr concentrations were observed (80 cases), the wind-rose model predicted above background for only 36 percent of the cases, while the trajectory model predicted above background for 56 percent of the cases. The wind-rose model tended to overpredict air concentration by a factor of 4 while the trajectory model tended to underpredict by a factor of 3 for those occasions where observations and calculations were above background

Productivity in physical and chemical science predicts the future economic growth of developing countries better than other popular indices.

Directory of Open Access Journals (Sweden)

Klaus Jaffe

Full Text Available Scientific productivity of middle income countries correlates stronger with present and future wealth than indices reflecting its financial, social, economic or technological sophistication. We identify the contribution of the relative productivity of different scientific disciplines in predicting the future economic growth of a nation. Results show that rich and poor countries differ in the relative proportion of their scientific output in the different disciplines: countries with higher relative productivity in basic sciences such as physics and chemistry had the highest economic growth in the following five years compared to countries with a higher relative productivity in applied sciences such as medicine and pharmacy. Results suggest that the economies of middle income countries that focus their academic efforts in selected areas of applied knowledge grow slower than countries which invest in general basic sciences.

75 FR 82170 - Hours of Service of Drivers

Science.gov (United States)

2010-12-29

... drivers to take breaks when needed and would reduce safety and health risks associated with long hours... long work hours, without significantly compromising their ability to do their jobs and earn a living... between hours 3.5 and 7 of an 11-hour driving period. Working beyond the 7th hour without a break is...

Close Approach Prediction Analysis of the Earth Science Constellation with the Fengyun-1C Debris

Science.gov (United States)

Duncan, Matthew; Rand, David K.

2008-01-01

Routine satellite operations for the Earth Science Constellation (ESC) include collision risk assessment between members of the constellation and other orbiting space objects. Each day, close approach predictions are generated by a U.S. Department of Defense Joint Space Operations Center Orbital Safety Analyst using the high accuracy Space Object Catalog maintained by the Air Force's 1" Space Control Squadron. Prediction results and other ancillary data such as state vector information are sent to NASAJGoddard Space Flight Center's (GSFC's) Collision Risk Assessment analysis team for review. Collision analysis is performed and the GSFC team works with the ESC member missions to develop risk reduction strategies as necessary. This paper presents various close approach statistics for the ESC. The ESC missions have been affected by debris from the recent anti-satellite test which destroyed the Chinese Fengyun- 1 C satellite. The paper also presents the percentage of close approach events induced by the Fengyun-1C debris, and presents analysis results which predict the future effects on the ESC caused by this event. Specifically, the Fengyun-1C debris is propagated for twenty years using high-performance computing technology and close approach predictions are generated for the ESC. The percent increase in the total number of conjunction events is considered to be an estimate of the collision risk due to the Fengyun-1C break- UP.

Long Work Hours: Volunteers and Conscripts

OpenAIRE

Robert Drago; Mark Wooden; David Black

2006-01-01

Panel data from Australia are used to study the prevalence of work hours mismatch among long hours workers and, more importantly, how that mismatch persists and changes over time, and what factors are associated with these changes. Particular attention is paid to the roles played by household debt, ideal worker characteristics and gender. Both static and dynamic multinomial logit models are estimated, with the dependent variable distinguishing long hours workers from other workers, and within...

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science. J C Joshi. Articles written in Journal of Earth System Science. Volume 126 Issue 1 February 2017 pp 3. Optimisation of Hidden Markov Model using Baum–Welch algorithm for prediction of maximum and minimum temperature over Indian Himalaya · J C Joshi Tankeshwar ...

Preferred vs Actual Working Hours in Couple Households

OpenAIRE

Yi-Ping Tseng; Mark Wooden

2005-01-01

Working hours in Australia are quite widely distributed around the population mean. That is, there are relatively many people working both relatively short hours and relatively long hours each week. From a welfare perspective, however, it is not the actual number of hours worked that is of importance, but whether the hours being worked are consistent with individual preferences. In this paper the question of how closely hours preferences are being met is examined using data collected in the f...

Work Hours Constraints: Impacts and Policy Implications

OpenAIRE

Constant, Amelie F.; Otterbach, Steffen

2011-01-01

If individuals reveal their preference as consumers, then they are taken seriously. What happens if individuals, as employees, reveal their preferences in working hours? And what happens if there is a misalignment between actual hours worked and preferred hours, the so-called work hours constraints? How does this affect the productivity of workers, their health, and overall life satisfaction? Labor supply and corresponding demand are fundamental to production. Labor economists know for long t...

Breaking the Long Hours Culture.

Science.gov (United States)

Kodz, J.; Kersley, B.; Strebler, M. T.; O'Regan, S.

Case studies of 12 leading British employers were driven by employers' interest in issues related to working long hours in light of introduction of the Working Time Directive, a European Community initiative enacted into British law that sets limits on working hours per week. Data showed over one-fourth of full-time employees worked over 48 hours…

Working hours: Past, present, and future

OpenAIRE

Dolton, Peter

2017-01-01

Working hours across the world are falling, but considerable variation remains. In some countries people work 70% more hours per year, on average, than in other countries. Much of this variation is due to differences in the prevalence of part-time work and patterns of female labor market participation. Looking ahead, the question of how reducing working hours will affect productivity is significant. In addition, how individuals divide up their leisure and work time and what the appropriate wo...

Indirect downscaling of global circulation model data based on atmospheric circulation and temperature for projections of future precipitation in hourly resolution

Science.gov (United States)

Beck, F.; Bárdossy, A.

2013-07-01

Many hydraulic applications like the design of urban sewage systems require projections of future precipitation in high temporal resolution. We developed a method to predict the regional distribution of hourly precipitation sums based on daily mean sea level pressure and temperature data from a Global Circulation Model. It is an indirect downscaling method avoiding uncertain precipitation data from the model. It is based on a fuzzy-logic classification of atmospheric circulation patterns (CPs) that is further subdivided by means of the average daily temperature. The observed empirical distributions at 30 rain gauges to each CP-temperature class are assumed as constant and used for projections of the hourly precipitation sums in the future. The method was applied to the CP-temperature sequence derived from the 20th century run and the scenario A1B run of ECHAM5. According to ECHAM5, the summers in southwest Germany will become progressively drier. Nevertheless, the frequency of the highest hourly precipitation sums will increase. According to the predictions, estival water stress and the risk of extreme hourly precipitation will both increase simultaneously during the next decades.

Making residency work hour rules work.

Science.gov (United States)

Cohen, I Glenn; Czeisler, Charles A; Landrigan, Christopher P

2013-01-01

In July 2011, the ACGME implemented new rules that limit interns to 16 hours of work in a row, but continue to allow 2nd-year and higher resident physicians to work for up to 28 consecutive hours. Whether the ACGME's 2011 work hour limits went too far or did not go far enough has been hotly debated. In this article, we do not seek to re-open the debate about whether these standards get matters exactly right. Instead, we wish to address the issue of effective enforcement. That is, now that new work hour limits have been established, and given that the ACGME has been unable to enforce work hour limits effectively on its own, what is the best way to make sure the new limits are followed in order to reduce harm to residents, patients, and others due to sleep-deprived residents? We focus on three possible national approaches to the problem, one rooted in funding, one rooted in disclosure, and one rooted in tort law. © 2013 American Society of Law, Medicine & Ethics, Inc.

Is the Office Hour Obsolete?

Science.gov (United States)

Behrens, Susan

2013-01-01

A colleague can't make a coffee date at a time the author proposes because it would conflict with his office hour. No student has actually made an appointment with him during the hour, but he is committed to being in his office as promised in case someone drops by. The author's reaction to her colleague's faithfulness to his posted office hour…

Change from an 8-hour shift to a 12-hour shift, attitudes, sleep, sleepiness and performance.

Science.gov (United States)

Lowden, A; Kecklund, G; Axelsson, J; Akerstedt, T

1998-01-01

The present study sought to evaluate the effect of a change from a rotating 3-shift (8-hour) to a 2-shift shift (12 hour) schedule on sleep, sleepiness, performance, perceived health, and well-being. Thirty-two shift workers at a chemical plant (control room operators) responded to a questionnaire a few months before a change was made in their shift schedule and 10 months after the change. Fourteen workers also filled out a diary, carried activity loggers, and carried out reaction-time tests (beginning and end of shift). Fourteen day workers served as a reference group for the questionnaires and 9 were intensively studied during a week with workdays and a free weekend. The questionnaire data showed that the shift change increased satisfaction with workhours, sleep, and time for social activities. Health, perceived accident risk, and reaction-time performance were not negatively affected. Alertness improved and subjective recovery time after night work decreased. The quick changes in the 8-hour schedule greatly increased sleep problems and fatigue. Sleepiness integrated across the entire shift cycle showed that the shift workers were less alert than the day workers, across workdays and days off (although alertness increased with the 12-hour shift). The change from 8-hour to 12-hour shifts was positive in most respects, possibly due to the shorter sequences of the workdays, the longer sequences of consecutive days off, the fewer types of shifts (easier planning), and the elimination of quick changes. The results may differ in groups with a higher work load.

48 CFR 536.570-5 - Working hours.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 4 2010-10-01 2010-10-01 false Working hours. 536.570-5... CATEGORIES OF CONTRACTING CONSTRUCTION AND ARCHITECT-ENGINEER CONTRACTS Contract Clauses 536.570-5 Working hours. Insert 552.236-74, Working Hours, in solicitations and contracts if construction, dismantling...

Occurrence of hypotension in older participants. Which 24-hour ABPM parameter better correlate with?

Science.gov (United States)

Scuteri, Angelo; Modestino, Anna; Frattari, Alessandra; Di Daniele, Nicola; Tesauro, Manfredi

2012-06-01

The aim of the present study was to investigate the prevalence of hypotension in older participants and to identify which 24-hour ambulatory blood pressure monitoring parameter better correlated with the occurrence of hypotension. We studied 588 elderly participants (mean age 78.7 ± 7.1 years; 70% women) who underwent a 24-hour ambulatory blood pressure (BP) monitoring, without moderate-to-severe cognitive impairment, myocardial infarction, or stroke within the previous 6 months; renal (serum creatinine > 2.5 mg/dL), respiratory, or liver insufficiency; and atrial fibrillation. In older participants, the occurrence of systolic hypotension is very common (≈55% presenting at least one episode of systolic blood pressure (SBP) < 100 mmHg and about 20% presenting ≥10% of the SBP registrations < 100 mmHg). More than 30% of participants with 24-hour SBP, daytime, and nighttime above the reference threshold had hypotension. Hypotension did not correlated with BP variability indices (standard deviation of BPs). None of the parameters commonly present in 24-hour ambulatory BP monitoring clinical reports is able to accurately identify those older participants with episode of hypotension. Episodes of SBP hypotension are extremely common in older participants and do not appear to relate to BP variability indices. Indeed, no parameter of 24-hour ambulatory BP monitoring was capable to accurately identify the occurrence of hypotension. We expect that ongoing studies will contribute to identification of specific factors predicting hypotensive episodes in the older participants.

Working 40 Hours or Not Working 39: Lessons from the 1981 Mandatory Reduction of Weekly Working Hours

OpenAIRE

Crépon, Bruno; Kramarz, Francis

1999-01-01

We use longitudinal individual wage, hours, and employment data to investigate the effect of the 1981 mandatory reduction of weekly working hours in France. A few months after François Mitterrand's election of May 1981, the government, applying its programme decided first to increase the minimum wage by 5% and, second, to reduce weekly working hours - from 40 to 39 - together with mandatory stability of monthly earnings of minimum wage workers and strong recommendation for stability of monthl...

Predictions from the cloud: using data science to predict sports performance

NARCIS (Netherlands)

Blaauw, Frank; Emerencia, Armando Celino; den Hartigh, Jan Rudolf; Milovanović, Marko; Stoter, Inge; de Jonge, Peter

2018-01-01

In sport science, a major aim is to unravel the variables and parameters that influence sports performance. A key requirement for investigating these parameters is the availability of high quality data. More specifically, data that contains the variables of interest, and data that could be analyzed

Hourly Electricity Prices in Day-Ahead Markets

NARCIS (Netherlands)

R. Huisman (Ronald); C. Huurman; R.J. Mahieu (Ronald)

2007-01-01

textabstractThis paper focuses on the characteristics of hourly electricity prices in day-ahead markets. In these markets, quotes for day-ahead delivery of electricity are submitted simultaneously for all hours in the next day. The same information set is used for quoting all hours of the day. The

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science. Aditi Singh. Articles written in Journal of Earth System Science. Volume 127 Issue 2 March 2018 pp 26. Prediction of fog/visibility over India using NWP Model · Aditi Singh John P George Gopal Raman Iyengar · More Details Abstract Fulltext PDF. Frequent occurrence of fog ...

The Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS)

National Research Council Canada - National Science Library

Hodur, Richard M; Hong, Xiaodong; Doyle, James D; Pullen, Julie; Cummings, James; Martin, Paul; Rennick, Mary Alice

2002-01-01

... of the Couple Ocean/Atmosphere Mesoscale Prediction System (COAMPS). The goal of this modeling project is to gain predictive skill in simulating the ocean and atmosphere at high resolution on time-scales of hours to several days...

A New Accreditation Problem: Defining the Liberal Arts and Sciences.

Science.gov (United States)

Hoskins, Robert L.

In 1985, the Accrediting Council on Education in Journalism and Mass Communications (ACEJMC) adopted a standard requiring that journalism/mass communications students take a minimum of 90 semester hours in courses outside their major, with at least 65 hours in liberal arts and sciences. The term "liberal arts" defies precise definition,…

Time-trend analyses of bleeding and mortality after primary percutaneous coronary intervention during out of working hours versus in-working hours: an observational study of 11 466 patients.

Science.gov (United States)

Iqbal, M Bilal; Khamis, Ramzi; Ilsley, Charles; Mikhail, Ghada; Crake, Tom; Firoozi, Sam; Kalra, Sundeep; Knight, Charles; Archbold, Andrew; Lim, Pitt; Mathur, Anthony; Meier, Pascal; Rakhit, Roby D; Redwood, Simon; Whitbread, Mark; Bromage, Dan; Rathod, Krishna; Jones, Daniel A; Wragg, Andrew; Dalby, Miles; MacCarthy, Phil; Malik, Iqbal S

2015-06-01

Primary percutaneous coronary intervention (PPCI) is the treatment of choice for ST-segment-elevation myocardial infarction. Resources are limited during out of working hours (OWH). Whether PPCI outside working hours is associated with worse outcomes and whether outcomes have improved over time are unknown. We analyzed 11 466 patients undergoing PPCI between 2004 and 2011 at all 8 tertiary cardiac centers in London, United Kingdom. We defined working hours as 9 am to 5 pm (Monday to Friday). We analyzed in-hospital bleeding and all-cause mortality ≤3 years, comparing OWH versus in-working hours. A total of 7494 patients (65.3%) were treated during OWH. Multivariable analyses demonstrated that PPCI during OWH was not a predictor for bleeding (odds ratio, 1.47; 95% confidence interval [CI], 0.97-2.24; P=0.071) or 3-year mortality (hazard ratio, 1.11; 95% CI, 0.94-1.32; P=0.20). This was confirmed in propensity-matched analyses. Time-stratified analyses demonstrated that PPCI during OWH was a predictor for bleeding (odds ratio, 2.00; 95% CI, 1.06-3.80; P=0.034) and 3-year mortality during 2005 to 2008 (hazard ratio, 1.23; 95% CI, 1.00-1.50; P=0.050), but this association was lost during 2009 to 2011. During 2005 to 2008, transradial access was predominantly used during in-working hours and PPCI during OWH was predictive of reduced transradial access use (odds ratio, 0.83; 95% CI, 0.71-0.98; P=0.033), but this association was lost during 2009 to 2011. In this study of unselected patients with ST-segment-elevation myocardial infarction, PPCI during OWH versus in-working hours had comparable bleeding and mortality. Time-stratified analyses demonstrated a reduction in adjusted bleeding and mortality during OWH over time. This may reflect the improved service provision, but the increased adoption of transradial access during OWH may also be contributory. © 2015 American Heart Association, Inc.

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

The MME technique for the cyclone track prediction is based on multiple linear regression technique. The predictor selected for the MME are forecast latitude and longitude positions of cyclone at 12-hr intervals up to 120 hours forecasts from five NWP models namely, IMD-GFS, IMD-WRF, NCEP-GFS, UKMO, and JMA.

Science Self-Beliefs and Science Achievement of Adolescents in Gulf Cooperation Council Countries

Science.gov (United States)

Areepattamannil, Shaljan

2012-01-01

This study explored the predictive effects of science self-beliefs on science achievement for 24,680 13-year-old students from Gulf Cooperation Council member countries--Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and the United Arab Emirates--who participated in the Trends in International Mathematics and Science Study (TIMSS) 2007. The…

Bilirubin nomogram for prediction of significant hyperbilirubinemia in north Indian neonates.

Science.gov (United States)

Pathak, Umesh; Chawla, Deepak; Kaur, Saranjit; Jain, Suksham

2013-04-01

(i) To construct hour-specific serum total bilirubin (STB) nomogram in neonates born at =35 weeks of gestation; (ii)To evaluate efficacy of pre-discharge bilirubin measurement in predicting hyperbilirubinemia needing treatment. Diagnostic test performance in a prospective cohort study. Teaching hospital in Northern India. Healthy neonates with gestation =35 weeks or birth weight =2000 g. Serum total bilirubin was measured in all enrolled neonates at 24 ± 6, 72-96 and 96-144 h of postnatal age and when indicated clinically. Neonates were followed up during hospital stay and after discharge till completion of 7th postnatal day. Key outcome was significant hyperbilirubinemia (SHB) defined as need of phototherapy based on modified American Academy of Pediatrics (AAP) guidelines. In neonates born at 38 or more weeks of gestation middle line and in neonates born at 37 or less completed weeks of gestation, lower line of phototherapy thresholds were used to initiate phototherapy. For construction of nomogram, STB values were clubbed in six-hour epochs (age ± 3 hours) for postnatal age up to 48 h and twelve-hour epochs (age ± 6 hours) for age beyond 48 h. Predictive ability of the nomogram was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value and likelihood ratio, by plotting receiver-operating characteristics (ROC) curve and calculating c-statistic. 997 neonates (birth weight: 2627 ± 536 g, gestation: 37.8 ± 1.5 weeks) were enrolled, of which 931 completed followup. Among enrolled neonates 344 (34.5%) were low birth weight. Rate of exclusive breastfeeding during hospital stay was more than 80%. Bilirubin nomogram was constructed using 40th, 75th and 95th percentile values of hour-specific bilirubin. Pre-discharge STB of =95th percentile was assigned to be in high-risk zone, between 75th and 94th centile in upper-intermediate risk zone, between 40th and 74th centile in lower-intermediate risk zone and below 40th

5 CFR 551.421 - Regular working hours.

Science.gov (United States)

2010-01-01

... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Regular working hours. 551.421 Section... Activities § 551.421 Regular working hours. (a) Under the Act there is no requirement that a Federal employee... distinction based on whether the activity is performed by an employee during regular working hours or outside...

Long working hours and alcohol use

DEFF Research Database (Denmark)

Virtanen, Marianna; Jokela, Markus; Nyberg, Solja T

2015-01-01

.20) in the analysis of prospective published and unpublished data. In the 18 studies with individual participant data it was possible to assess the European Union Working Time Directive, which recommends an upper limit of 48 hours a week. Odds ratios of new onset risky alcohol use for those working 49-54 hours......OBJECTIVE: To quantify the association between long working hours and alcohol use. DESIGN: Systematic review and meta-analysis of published studies and unpublished individual participant data. DATA SOURCES: A systematic search of PubMed and Embase databases in April 2014 for published studies......, supplemented with manual searches. Unpublished individual participant data were obtained from 27 additional studies. REVIEW METHODS: The search strategy was designed to retrieve cross sectional and prospective studies of the association between long working hours and alcohol use. Summary estimates were...

Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission.

Science.gov (United States)

Hissbach, Johanna C; Klusmann, Dietrich; Hampe, Wolfgang

2011-10-14

Knowledge in natural sciences generally predicts study performance in the first two years of the medical curriculum. In order to reduce delay and dropout in the preclinical years, Hamburg Medical School decided to develop a natural science test (HAM-Nat) for student selection. In the present study, two different approaches to scale construction are presented: a unidimensional scale and a scale composed of three subject specific dimensions. Their psychometric properties and relations to academic success are compared. 334 first year medical students of the 2006 cohort responded to 52 multiple choice items from biology, physics, and chemistry. For the construction of scales we generated two random subsamples, one for development and one for validation. In the development sample, unidimensional item sets were extracted from the item pool by means of weighted least squares (WLS) factor analysis, and subsequently fitted to the Rasch model. In the validation sample, the scales were subjected to confirmatory factor analysis and, again, Rasch modelling. The outcome measure was academic success after two years. Although the correlational structure within the item set is weak, a unidimensional scale could be fitted to the Rasch model. However, psychometric properties of this scale deteriorated in the validation sample. A model with three highly correlated subject specific factors performed better. All summary scales predicted academic success with an odds ratio of about 2.0. Prediction was independent of high school grades and there was a slight tendency for prediction to be better in females than in males. A model separating biology, physics, and chemistry into different Rasch scales seems to be more suitable for item bank development than a unidimensional model, even when these scales are highly correlated and enter into a global score. When such a combination scale is used to select the upper quartile of applicants, the proportion of successful completion of the curriculum

Dimensionality and predictive validity of the HAM-Nat, a test of natural sciences for medical school admission

Directory of Open Access Journals (Sweden)

Hissbach Johanna C

2011-10-01

Full Text Available Abstract Background Knowledge in natural sciences generally predicts study performance in the first two years of the medical curriculum. In order to reduce delay and dropout in the preclinical years, Hamburg Medical School decided to develop a natural science test (HAM-Nat for student selection. In the present study, two different approaches to scale construction are presented: a unidimensional scale and a scale composed of three subject specific dimensions. Their psychometric properties and relations to academic success are compared. Methods 334 first year medical students of the 2006 cohort responded to 52 multiple choice items from biology, physics, and chemistry. For the construction of scales we generated two random subsamples, one for development and one for validation. In the development sample, unidimensional item sets were extracted from the item pool by means of weighted least squares (WLS factor analysis, and subsequently fitted to the Rasch model. In the validation sample, the scales were subjected to confirmatory factor analysis and, again, Rasch modelling. The outcome measure was academic success after two years. Results Although the correlational structure within the item set is weak, a unidimensional scale could be fitted to the Rasch model. However, psychometric properties of this scale deteriorated in the validation sample. A model with three highly correlated subject specific factors performed better. All summary scales predicted academic success with an odds ratio of about 2.0. Prediction was independent of high school grades and there was a slight tendency for prediction to be better in females than in males. Conclusions A model separating biology, physics, and chemistry into different Rasch scales seems to be more suitable for item bank development than a unidimensional model, even when these scales are highly correlated and enter into a global score. When such a combination scale is used to select the upper quartile of

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science. A K Verma. Articles written in Journal of Earth System Science. Volume 114 Issue 1 February 2005 pp 75-86. A comparative study of ANN and Neuro-fuzzy for the prediction of dynamic constant of rockmass · T N Singh R Kanchan A K Verma K Saigal · More Details Abstract ...

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science. S D Kotal. Articles written in Journal of Earth System Science. Volume 117 Issue 2 April 2008 pp 157-168. A Statistical Cyclone Intensity Prediction (SCIP) model for the Bay of Bengal · S D Kotal S K Roy Bhowmik P K Kundu Ananda Kumar Das · More Details Abstract ...

Impact of reduction in working hours for doctors in training on postgraduate medical education and patients' outcomes: systematic review.

Science.gov (United States)

Moonesinghe, S R; Lowery, J; Shahi, N; Millen, A; Beard, J D

2011-03-22

To determine whether a reduction in working hours of doctors in postgraduate medical training has had an effect on objective measures of medical education and clinical outcome. Systematic review. Medline, Embase, ISI Web of Science, Google Scholar, ERIC, and SIGLE were searched without language restriction for articles published between 1990 and December 2010. Reference lists and citations of selected articles. Studies that assessed the impact of a change in duty hours using any objective measure of outcome related to postgraduate medical training, patient safety, or clinical outcome. Any study design was eligible for inclusion. 72 studies were eligible for inclusion: 38 reporting training outcomes, 31 reporting outcomes in patients, and three reporting both. A reduction in working hours from greater than 80 hours a week (in accordance with US recommendations) does not seem to have adversely affected patient safety and has had limited effect on postgraduate training. Reports on the impact of European legislation limiting working hours to less than 56 or 48 a week are of poor quality and have conflicting results, meaning that firm conclusions cannot be made. Reducing working hours to less than 80 a week has not adversely affected outcomes in patient or postgraduate training in the US. The impact of reducing hours to less than 56 or 48 a week in the UK has not yet been sufficiently evaluated in high quality studies. Further work is required, particularly in the European Union, using large multicentre evaluations of the impact of duty hours' legislation on objective educational and clinical outcomes.

Long Working Hours and Coronary Heart Disease: A Systematic Review and Meta-Analysis

Science.gov (United States)

Virtanen, Marianna; Heikkilä, Katriina; Jokela, Markus; Ferrie, Jane E.; Batty, G. David; Vahtera, Jussi; Kivimäki, Mika

2012-01-01

The authors aggregated the results of observational studies examining the association between long working hours and coronary heart disease (CHD). Data sources used were MEDLINE (through January 19, 2011) and Web of Science (through March 14, 2011). Two investigators independently extracted results from eligible studies. Heterogeneity between the studies was assessed using the I2 statistic, and the possibility of publication bias was assessed using the funnel plot and Egger's test for small-study effects. Twelve studies were identified (7 case-control, 4 prospective, and 1 cross-sectional). For a total of 22,518 participants (2,313 CHD cases), the minimally adjusted relative risk of CHD for long working hours was 1.80 (95% confidence interval (CI): 1.42, 2.29), and in the maximally (multivariate-) adjusted analysis the relative risk was 1.59 (95% CI: 1.23, 2.07). The 4 prospective studies produced a relative risk of 1.39 (95% CI: 1.12, 1.72), while the corresponding relative risk in the 7 case-control studies was 2.43 (95% CI: 1.81, 3.26). Little evidence of publication bias but relatively large heterogeneity was observed. Studies varied in size, design, measurement of exposure and outcome, and adjustments. In conclusion, results from prospective observational studies suggest an approximately 40% excess risk of CHD in employees working long hours. PMID:22952309

Gender roles and science beliefs and their relationship to science interest

Science.gov (United States)

Paolucci, Judith Jean

This study investigated adolescents' views about the nature of science (NOS) and conceptions of their gender identities, and revealed whether these conceptions and views are related to their science interest. Participants were 566 high school students enrolled in chemistry courses at three high schools in a New England state. A questionnaire was used to assess participants' science interest, gender role perceptions, and views about science, as well as to provide background and math and science achievement data. The study found that while student scores of NOS understanding did not differ by gender, some significant differences were noted on the student responses to statements about science. Students with higher-than-average science interest scores responded to these statements differently than students with lower science interest scores; their responses tended to more closely match statements about NOS taken from current reform documents. The study also found that math and science achievement, masculinity scores, and NOS scores accounted for a greater variance of science interest for girls than for boys, though all three also contributed significantly and positively to the regression equation for boys. These predictor variables predicted membership to the lower or higher science interest groups, but could not predict students' career aspiration groups. Thus, other mediating factors not considered in this study may translate high science interest to science career aspiration. The results of this study coed prior research, which found that science and math achievement and masculinity are positively and significantly related to science interest for boy boys and girls. Moreover, the study found that achievement in math and science courses is a greater predictor of science interest for girls than for boys. The results of this study provide a rationale for incorporating the nature of science into the science curriculum. Moreover, since the science interest of boys was

The existence and persistence of long work hours

OpenAIRE

Drago, Robert William; Black, David; Wooden, Mark

2005-01-01

Previous research hypothesizes that long working hours are related to consumerism, the ideal worker norm, high levels of human capital, and a high cost-of-job-loss. The authors test these hypotheses using panel data on working hours for an Australian sample of full-time employed workers. Analyses include a static cross-sectional model and a persistence model for long hours over time. The results suggest that long hours (50 or more hours in a usual week) are often persistent, and provide stron...

Doing Better: Illuminating a Framework of Equitable Science Pedagogy through a Cross- Case Analysis of Urban High School Science Teachers

Science.gov (United States)

Sheth, Manali J.

Students of color are routinely asked to participate in science education that is less intellectually rich and self-affirming. Additionally, teachers have trouble embarking on professional growth related to issues of equity and diversity in science. The purpose of this dissertation research is to develop a multi-dimensional framework for equitable science pedagogy (ESP) through analyzing the efforts and struggles of high school science teachers. This study is grounded in a conceptual framework derived from scholarship in science education, multicultural education, critical science studies, and teacher learning. The following questions guide this research: 1) What visions and enactments emerge in teachers' practices towards equitable science pedagogy? 2) How are teachers' practice decisions towards ESP influenced by their personal theories of race/culture, science, and learning and sociocultural contexts? 3) Why are there consistencies and variances across teachers' practices? This study employs a qualitative multiple case study design with ethnographic data collection to explore the practices of three urban high school science teachers who were identified as being committed to nurturing the science learning of students of color. Data include over 120 hours of classroom observation, 60 hours of teacher interviews, and 500 teacher- and student-generated artifacts. Data analysis included coding teachers' practices using theory- and participant generated codes, construction of themes based on emergent patterns, and cross-case analysis. The affordances and limitations of the participants' pedagogical approaches inform the following framework for equitable science pedagogy: 1) Seeing race and culture and sharing responsibility for learning form foundational dimensions. Practices from the other three dimensions--- nurturing students' identities, re-centering students' epistemologies, and critiquing structural inequities---emerge from the foundation. As emergent practices

Earthquake prediction with electromagnetic phenomena

Energy Technology Data Exchange (ETDEWEB)

Hayakawa, Masashi, E-mail: hayakawa@hi-seismo-em.jp [Hayakawa Institute of Seismo Electomagnetics, Co. Ltd., University of Electro-Communications (UEC) Incubation Center, 1-5-1 Chofugaoka, Chofu Tokyo, 182-8585 (Japan); Advanced Wireless & Communications Research Center, UEC, Chofu Tokyo (Japan); Earthquake Analysis Laboratory, Information Systems Inc., 4-8-15, Minami-aoyama, Minato-ku, Tokyo, 107-0062 (Japan); Fuji Security Systems. Co. Ltd., Iwato-cho 1, Shinjyuku-ku, Tokyo (Japan)

2016-02-01

Short-term earthquake (EQ) prediction is defined as prospective prediction with the time scale of about one week, which is considered to be one of the most important and urgent topics for the human beings. If this short-term prediction is realized, casualty will be drastically reduced. Unlike the conventional seismic measurement, we proposed the use of electromagnetic phenomena as precursors to EQs in the prediction, and an extensive amount of progress has been achieved in the field of seismo-electromagnetics during the last two decades. This paper deals with the review on this short-term EQ prediction, including the impossibility myth of EQs prediction by seismometers, the reason why we are interested in electromagnetics, the history of seismo-electromagnetics, the ionospheric perturbation as the most promising candidate of EQ prediction, then the future of EQ predictology from two standpoints of a practical science and a pure science, and finally a brief summary.

NOAA's National Air Quality Predictions and Development of Aerosol and Atmospheric Composition Prediction Components for the Next Generation Global Prediction System

Science.gov (United States)

Stajner, I.; Hou, Y. T.; McQueen, J.; Lee, P.; Stein, A. F.; Tong, D.; Pan, L.; Huang, J.; Huang, H. C.; Upadhayay, S.

2016-12-01

NOAA provides operational air quality predictions using the National Air Quality Forecast Capability (NAQFC): ozone and wildfire smoke for the United States and airborne dust for the contiguous 48 states at http://airquality.weather.gov. NOAA's predictions of fine particulate matter (PM2.5) became publicly available in February 2016. Ozone and PM2.5 predictions are produced using a system that operationally links the Community Multiscale Air Quality (CMAQ) model with meteorological inputs from the North American mesoscale forecast Model (NAM). Smoke and dust predictions are provided using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Current NAQFC focus is on updating CMAQ to version 5.0.2, improving PM2.5 predictions, and updating emissions estimates, especially for NOx using recently observed trends. Wildfire smoke emissions from a newer version of the USFS BlueSky system are being included in a new configuration of the NAQFC NAM-CMAQ system, which is re-run for the previous 24 hours when the wildfires were observed from satellites, to better represent wildfire emissions prior to initiating predictions for the next 48 hours. In addition, NOAA is developing the Next Generation Global Prediction System (NGGPS) to represent the earth system for extended weather prediction. NGGPS will include a representation of atmospheric dynamics, physics, aerosols and atmospheric composition as well as coupling with ocean, wave, ice and land components. NGGPS is being developed with a broad community involvement, including community developed components and academic research to develop and test potential improvements for potentially inclusion in NGGPS. Several investigators at NOAA's research laboratories and in academia are working to improve the aerosol and gaseous chemistry representation for NGGPS, to develop and evaluate the representation of atmospheric composition, and to establish and improve the coupling with radiation and microphysics

19 CFR 101.6 - Hours of business.

Science.gov (United States)

2010-04-01

... 19 Customs Duties 1 2010-04-01 2010-04-01 false Hours of business. 101.6 Section 101.6 Customs... GENERAL PROVISIONS § 101.6 Hours of business. Except as specified in paragraphs (a) through (g) of this section, each CBP office shall be open for the transactions of general CBP business between the hours of 8...

The future of work hours--the European view.

Science.gov (United States)

Akerstedt, Torbjörn; Kecklund, Göran

2005-01-01

In Europe the way work hours are handled varies between different countries. However, there are some issues that dominate the discussion in Europe and seem representative for what is happening. One such is the reduction of working hours--which was attempted in several countries but which now seems to be backfiring--probably related to the competition from countries outside Europe. Another area is compressed work hours--the drive towards maximizing the hours per work day in order to increase the number of days off. The health effects are debated--some find clear positive effects. A third area is company oriented flexible work hours, permitting the employer to make moderate changes in work hours when needed. The health impacts have not been evaluated but the loss of individual influence at work is obvious. In some parts of Europe self-determined work hours have been tried with very positive effects. The EU work hour directive is intended to provide uniformity but permits a counterproductive "opting out", creating problems of imbalance.

Science anxiety and social cognitive factors predicting STEM career aspirations of high school freshmen in general science class

Science.gov (United States)

Skells, Kristin Marie

Extant data was used to consider the association between science anxiety, social cognitive factors and STEM career aspirations of high school freshmen in general science classes. An adapted model based on social cognitive career theory (SCCT) was used to consider these relationships, with science anxiety functioning as a barrier in the model. The study assessed the following research questions: (1) Do social cognitive variables relate in the expected way to STEM career aspirations based on SCCT for ninth graders taking general science classes? (2) Is there an association between science anxiety and outcomes and processes identified in the SCCT model for ninth graders taking general science classes? (3) Does gender moderate these relationships? Results indicated that support was found for many of the central tenants of the SCCT model. Science anxiety was associated with prior achievement, self-efficacy, and science interest, although it did not relate directly to STEM career goals. Gender was found to moderate only the relationship between prior achievement and science self-efficacy.

The Dawn of Vesta Science

Science.gov (United States)

Garner, Charles E.; Rayman, Marc D.; Brophy, John R.; Mikes, Steven C.

2011-01-01

The Dawn mission is part of NASA's Discovery Program and has as its goal the scientific exploration of the two most massive main-belt asteroids, Vesta and Ceres. The Dawn spacecraft was launched from the Cape Canaveral Air Force Station on September 27, 2007 on a Delta-II 7925H-9.5 (Delta-II Heavy) rocket that placed the 1218-kg spacecraft onto an Earth-escape trajectory. On-board the spacecraft is an ion propulsion system (IPS) developed at the Jet Propulsion Laboratory which will provide a total ?V of 11.3 km/s for the heliocentric transfer to Vesta, orbit capture at Vesta, transfer between Vesta science orbits, departure and escape from Vesta, heliocentric transfer to Ceres, orbit capture at Ceres, and transfer between Ceres science orbits. Fullpower thrusting from December 2007 through October 2008 was used to successfully target a Mars gravity assist flyby in February 2009 that provided an additional ?V of 2.6 km/s. Deterministic thrusting for the heliocentric transfer to Vesta resumed in June 2009 and concluded with orbit capture at Vesta on July 16, 2011. An additional 210 hours of IPS thrusting was used to enter the first Vesta science orbit, called Survey orbit, on August 3, 2011 at an altitude of approximately 2,735 km. To date the IPS has been operated for 23,621 hours, consumed approximately 252 kg of xenon, and provided a delta-V of approximately 6.7 km/s. The IPS performance characteristics are very close to the expected performance based on analysis and testing performed pre-launch. The only significant issue in over the almost four years of IPS operations in flight was the temporary failure of a valve driver board in the Digital Control and Interface Unit-1 (DCIU-1), resulting in a loss of thrust of approximately 29 hours. Thrusting operations resumed after switching to DCIU-2, and power cycling conducted after orbit capture restored DCIU-1 to full functionality. After about three weeks of Survey orbit operations the IPS will be used to transfer the

Disentangling Intensity from Breadth of Science Interest: What Predicts Learning Behaviors?

Science.gov (United States)

Bathgate, Meghan; Schunn, Christian

2016-01-01

Overall interest in science has been argued to drive learner participation and engagement. However, there are other important aspects of interest such as breadth of interest within a science domain (e.g., biology, earth science). We demonstrate that intensity of science interest is separable from topic breadth using surveys from a sample of 600…

Quick returns and night work as predictors of sleep quality, fatigue, work-family balance and satisfaction with work hours.

Science.gov (United States)

Dahlgren, Anna; Tucker, Philip; Gustavsson, Petter; Rudman, Ann

2016-01-01

Quick returns (intervals of work. The current study explored quick returns and night work in terms of their impact on sleep, unwinding, recovery, exhaustion, satisfaction with work hours and work-family interference. Data from the 2006 cohort of Swedish nursing students within the national Longitudinal Analysis of Nursing Education (LANE) study were analysed (N = 1459). Respondents completed a questionnaire prior to graduation (response rate 69.2%) and 3 years after graduation (65.9%). The analyses examined associations between frequency of quick returns and night work and measures taken in year three, while adjusting for confounding factors (in year three and prior graduation). Frequency of quick returns was a significant predictor of poor sleep quality, short sleeps, unwinding, exhaustion, satisfaction with work hours and work-to-family interference, with higher frequency predicting more negative outcomes. Quick returns did not predict recovery after rest days. Frequency of night work did not predict any of the outcomes. In conclusion, quick returns were an important determinant of sleep, recovery and wellbeing, whereas night work did not show such an association.

The value of contrast-enhanced CT scan in prediction of development of contusional hemorrhage

International Nuclear Information System (INIS)

Yokoyama, Kazuhiro; Kyoi, Kikuo; Sakaki, Toshisuke; Kinugawa, Kazuhiko; Morimoto, Tetsuya

1983-01-01

It is often experienced that even if there are no significant findings on the initial plain CT scan in the patient with cerebral contusion, the patient has thereafter a serious clinical course and requires emergency operation for so-called contusional hemorrhage. In order to predict of the development of contusional hemorrhage we performed contrast-enhanced CT scan at the time of patient's arrival within 12 hours after injury, if there was cerebral contusion on the initial plain CT scan, and repeated plain CT scan 24 hours after the contrast-enhanced CT scan. If enhancement was demonstrated on the contrastenhanced CT scan, we predicted the development of contusional hemorrhage and if not demonstrated, we predicted no more development of contusional hemorrhage and then we studied the correlation between the prediction and the plain CT 24 hours after the contrast-enhanced CT scan. The results were as follows: 1) The prediction was correct in 13 cases out of 16 cases in which the development of contusional hemorrhage was observed. In 18 cases where no development of contusional hemorrhage was observed, the prediction was correct without exception. 2) Most of the cases in which enhancement was demonstrated were ones examined not before 3 hours after injury. 3) The extent of enhancement shown on contrastenhanced CT scan was well consistent with that of contusional hemorrhage on the plain CT scan 24 hours after the contrast-enhanced CT scan. From these results, the contrast-enhanced CT scan in acute stage of head injury was considered to by very useful in prediction of the development of contusional hemorrhage. (author)

Effectiveness of the Twelve-Hour Shift.

Science.gov (United States)

Brinton, Robert D.

1983-01-01

Although labor unions traditionally have fought for shorter working hours, there have been recent reversals in this trend. The Pulp and Paperboard Division of Temple-Eastex Incorporated converted to a 12-hour shift and found that safety improved, productivity increased, and overtime decreased. (JOW)

Prediction of situational awareness in F-15 pilots.

Science.gov (United States)

Carretta, T R; Perry, D C; Ree, M J

1996-01-01

Situational awareness (SA) is a skill often deemed essential to pilot performance in both combat and noncombat flying. A study was conducted to determine if SA in U.S. Air Force F-15 pilots could be predicted. The participants were 171 active duty F-15 A/C pilots who completed a test battery representative of various psychological constructs proposed or demonstrated to be valid for the prediction of performance in a wide variety of military and civilian jobs. These predictors encompassed measures of cognitive ability, psychomotor ability, and personality. Supervisor and peer ratings of SA were collected. Supervisors and peers showed substantial agreement on the SA ratings of the pilots. The first unrotated principle component extracted from the supervisor and peer ratings accounted for 92.5% of the variability of ratings. The unrotated first principal component served as the SA criterion. Flying experience measured in number of F-15 hours was the best predictor of SA. After controlling for the effects of F-15 flying hours, the measures of general cognitive ability based on working memory, spatial reasoning, and divided attention were found to be predictive of SA. Psychomotor and personality measures were not predictive. With additional F-15 flying hours it is expected that pilots would improve their ratings of SA.

Hourly awakening vs continuous contact lens sensor measurements of 24-hour intraocular pressure: effect on sleep macrostructure and intraocular pressure rhythm.

Science.gov (United States)

Aptel, Florent; Tamisier, Renaud; Pépin, Jean-Louis; Mottet, Benjamin; Hubanova, Ralitsa; Romanet, Jean-Paul; Chiquet, Christophe

2014-10-01

All studies of 24-hour intraocular pressure (IOP) rhythm conducted to date have used repeated IOP measurements requiring nocturnal awakenings, potentially disturbing sleep macrostructure. To evaluate the effects on sleep architecture and IOP rhythm of hourly awakening vs a contact lens sensor (CLS) to continuously monitor IOP without awakening. Cross-sectional study at a referral center of chronobiology among 12 young healthy volunteers, with a mean (SD) age of 22.3 (2.3) years. Volunteers underwent two 24-hour IOP measurement sessions during a 2-month period. The eye order and session order were randomized. During one session, the IOP of the first eye was continuously monitored using a CLS, and the IOP of the fellow eye was measured hourly using a portable noncontact tonometer (session with nocturnal hourly awakening). During the other session, the IOP of the first eye was continuously monitored using a CLS, and the IOP of the fellow eye was not measured (session without nocturnal awakening). Overnight polysomnography was performed during the 2 sessions. A nonlinear least squares, dual-harmonic regression analysis was used to model the 24-hour IOP rhythm from the CLS data. Comparisons of acrophase, bathyphase, amplitude, and the midline estimating statistic of rhythm were used to evaluate the effect of hourly awakening on IOP rhythm. To evaluate the effects of hourly awakening on sleep architecture, comparisons of sleep structure were used, including total sleep period, rapid eye movement, wake after sleep onset, absolute and relative total sleep time, and non-rapid eye movement sleep (N1, N2, and N3). A 24-hour IOP rhythm was found in all individuals for the sessions with and without awakening (P  .30). Hourly awakening during noncontact tonometer IOP measurements did not seem to alter the mean variables of the 24-hour IOP pattern evaluated using CLS, including signal, maximum signal, minimum signal, acrophase, and bathyphase (P > .15). The 24-hour IOP

Severe rainfall prediction systems for civil protection purposes

Science.gov (United States)

Comellas, A.; Llasat, M. C.; Molini, L.; Parodi, A.; Siccardi, F.

2010-09-01

One of the most common natural hazards impending on Mediterranean regions is the occurrence of severe weather structures able to produce heavy rainfall. Floods have killed about 1000 people across all Europe in last 10 years. With the aim of mitigating this kind of risk, quantitative precipitation forecasts (QPF) and rain probability forecasts are two tools nowadays available for national meteorological services and institutions responsible for weather forecasting in order to and predict rainfall, by using either the deterministic or the probabilistic approach. This study provides an insight of the different approaches used by Italian (DPC) and Catalonian (SMC) Civil Protection and the results they achieved with their peculiar issuing-system for early warnings. For the former, the analysis considers the period between 2006-2009 in which the predictive ability of the forecasting system, based on the numerical weather prediction model COSMO-I7, has been put into comparison with ground based observations (composed by more than 2000 raingauge stations, Molini et al., 2009). Italian system is mainly focused on regional-scale warnings providing forecasts for periods never shorter than 18 hours and very often have a 36-hour maximum duration . The information contained in severe weather bulletins is not quantitative and usually is referred to a specific meteorological phenomena (thunderstorms, wind gales et c.). Updates and refining have a usual refresh time of 24 hours. SMC operates within the Catalonian boundaries and uses a warning system that mixes both quantitative and probabilistic information. For each administrative region ("comarca") Catalonia is divided into, forecasters give an approximate value of the average predicted rainfall and the probability of overcoming that threshold. Usually warnings are re-issued every 6 hours and their duration depends on the predicted time extent of the storm. In order to provide a comprehensive QPF verification, the rainfall

Limited Sampling Strategy for Accurate Prediction of Pharmacokinetics of Saroglitazar: A 3-point Linear Regression Model Development and Successful Prediction of Human Exposure.

Science.gov (United States)

Joshi, Shuchi N; Srinivas, Nuggehally R; Parmar, Deven V

2018-03-01

Our aim was to develop and validate the extrapolative performance of a regression model using a limited sampling strategy for accurate estimation of the area under the plasma concentration versus time curve for saroglitazar. Healthy subject pharmacokinetic data from a well-powered food-effect study (fasted vs fed treatments; n = 50) was used in this work. The first 25 subjects' serial plasma concentration data up to 72 hours and corresponding AUC 0-t (ie, 72 hours) from the fasting group comprised a training dataset to develop the limited sampling model. The internal datasets for prediction included the remaining 25 subjects from the fasting group and all 50 subjects from the fed condition of the same study. The external datasets included pharmacokinetic data for saroglitazar from previous single-dose clinical studies. Limited sampling models were composed of 1-, 2-, and 3-concentration-time points' correlation with AUC 0-t of saroglitazar. Only models with regression coefficients (R 2 ) >0.90 were screened for further evaluation. The best R 2 model was validated for its utility based on mean prediction error, mean absolute prediction error, and root mean square error. Both correlations between predicted and observed AUC 0-t of saroglitazar and verification of precision and bias using Bland-Altman plot were carried out. None of the evaluated 1- and 2-concentration-time points models achieved R 2 > 0.90. Among the various 3-concentration-time points models, only 4 equations passed the predefined criterion of R 2 > 0.90. Limited sampling models with time points 0.5, 2, and 8 hours (R 2 = 0.9323) and 0.75, 2, and 8 hours (R 2 = 0.9375) were validated. Mean prediction error, mean absolute prediction error, and root mean square error were prediction of saroglitazar. The same models, when applied to the AUC 0-t prediction of saroglitazar sulfoxide, showed mean prediction error, mean absolute prediction error, and root mean square error model predicts the exposure of

Prediction of thyroidal 131I effective half-life in patients with Graves' disease.

Science.gov (United States)

Zhang, Ruiguo; Zhang, Guizhi; Wang, Renfei; Tan, Jian; He, Yajing; Meng, Zhaowei

2017-10-06

Calculation of effective thyroidal half-life (Teff) of iodine-131( 131 I) is cumbersome and tedious. The aim of this study was to investigate factors that could be used to predict Teff and to develop a Teff prediction model in Graves' disease patients. A total of 256 patients with GD were involved in this study. We investigated the influences of age, gender, disease duration, thyroid weight, antithyroid drugs, antithyroid drugs discontinuation period (ADP), thyroid function indexes, thyroid autoantibodies, thyroid-stimulating hormone receptor antibody (TRAb) level and radioactive iodine uptake (RAIU) values before 131 I therapy on Teff, applying univariate and multivariate analyses. Teff correlated negatively with thyroid peroxidase antibody, TRAb and thyroid weight, as well as positively with 24-hour, 48-hour, and 72-hour RAIU. Additionally, a longer ADP (especially≥ 14d) or without antithyroid drugs before 131 I therapy led to a longer Teff. Stepwise multiple linear regression analysis showed that 24-hour and 72-hour RAIU were statistically significant predictors of Teff ( P Graves' disease, with high prediction accuracy.

Use and Underlying Reasons for Duty Hour Flexibility in the Flexibility in Duty Hour Requirements for Surgical Trainees (FIRST) Trial.

Science.gov (United States)

Bilimoria, Karl Y; Quinn, Christopher M; Dahlke, Allison R; Kelz, Rachel R; Shea, Judy A; Rajaram, Ravi; Love, Remi; Kreutzer, Lindsey; Biester, Thomas; Yang, Anthony D; Hoyt, David B; Lewis, Frank R

2017-02-01

The Flexibility in Duty Hour Requirements for Surgical Trainees (FIRST) Trial randomly assigned surgical residency programs to either standard duty hour policies or flexible policies that eliminated caps on shift lengths and time off between shifts. Our objectives were to assess adherence to duty hour requirements in the Standard Policy arm and examine how often and why duty hour flexibility was used in the Flexible Policy arm. A total of 3,795 residents in the FIRST trial completed a survey in January 2016 (response rate >95%) that asked how often and why they exceeded current standard duty hour limits in both study arms. Flexible Policy interns worked more than 16 hours continuously at least once in a month more frequently than Standard Policy residents (86% vs 37.8%). Flexible Policy residents worked more than 28 hours once in a month more frequently than Standard Policy residents (PGY1: 64% vs 2.9%; PGY2 to 3: 62.4% vs 41.9%; PGY4 to 5: 52.2% vs 36.6%), but this occurred most frequently only 1 to 2 times per month. Although residents reported working more than 80 hours in a week 3 or more times in the most recent month more frequently under Flexible Policy vs Standard Policy (19.9% vs 16.2%), the difference was driven by interns (30.9% vs 19.6%), and there were no significant differences in exceeding 80 hours among PGY2 to 5 residents. The most common reasons reported for extending duty hours were facilitating care transitions (76.6%), stabilizing critically ill patients (70.7%), performing routine responsibilities (67.9%), and operating on patients known to the trainee (62.0%). There were differences in duty hours worked by residents in the Flexible vs Standard Policy arms of the FIRST trial, but it appeared that residents generally used the flexibility for patient care and educational opportunities selectively. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Hours Constraints Within and Between Jobs

NARCIS (Netherlands)

Euwals, R.W.

1997-01-01

In the empirical literature on labour supply, several models are developed to incorporate constraints on working hours. These models do not address the question to which extent working hours are constrained within and between jobs. In this paper I investigate the effect of individual changes in

Employer Attitudes towards Peak Hour Avoidance

NARCIS (Netherlands)

Vonk Noordegraaf, D.M.; Annema, J.A.

2012-01-01

Peak Hour Avoidance is a relatively new Dutch mobility management measure. To reduce congestion frequent car drivers are given a financial reward for reducing the proportion of trips that they make during peak hours on a specific motorway section. Although previous studies show that employers are

Employer attitudes towards peak hour avoidance

NARCIS (Netherlands)

Noordegraaf, D.M.V.; Annema, J.A.

2012-01-01

Peak Hour Avoidance is a relatively new Dutch mobility management measure. To reduce congestion frequent car drivers are given a financial reward for reducing the proportion of trips that they make during peak hours on a specific motorway section. Although previous studies show that employers are

Cost-efficient staffing under annualized hours

NARCIS (Netherlands)

van der Veen, Egbert; Hans, Elias W.; Veltman, Bart; Berrevoets, Leo M.; Berden, Hubert J.J.M.

2012-01-01

We study how flexibility in workforce capacity can be used to efficiently match capacity and demand. Flexibility in workforce capacity is introduced by the annualized hours regime. Annualized hours allow organizations to measure working time per year, instead of per month or per week. An additional

The Credit Hour and Public Budgeting.

Science.gov (United States)

Wellman, Jane V.

2003-01-01

Discusses the ways the credit hour has come to be used by public funding systems in higher education. The literature review shows that the credit hour has become a barrier to innovation and a way to create systemic inequities between institutions or sectors in resource allocation. (SLD)

5 CFR 610.408 - Use of credit hours.

Science.gov (United States)

2010-01-01

... Flexible and Compressed Work Schedules § 610.408 Use of credit hours. Members of the Senior Executive Service (SES) may not accumulate credit hours under an alternative work schedule. Any credit hours...

Association between sleeping hours, working hours and obesity in Hong Kong Chinese: the 'better health for better Hong Kong' health promotion campaign.

Science.gov (United States)

Ko, G T C; Chan, J C N; Chan, A W Y; Wong, P T S; Hui, S S C; Tong, S D Y; Ng, S-M; Chow, F; Chan, C L W

2007-02-01

To study the inter-relationships between sleeping hours, working hours and obesity in subjects from a working population. A cross-sectional observation study under the 'Better Health for Better Hong Kong' Campaign, which is a territory-wide health awareness and promotion program. 4793 subjects (2353 (49.1%) men and 2440 (50.9%) women). Their mean age (+/-s.d.) was 42.4+/-8.9 years (range 17-83 years, median 43.0 years). Subjects were randomly selected using computer-generated codes in accordance to the distribution of occupational groups in Hong Kong. The mean daily sleeping time was 7.06+/-1.03 h (women vs men: 7.14+/-1.08 h vs 6.98+/-0.96 h, Pworking hours reaching significance in the whole group as well as among male subjects. Those with short sleeping hour (6 h or less) and long working hours (>9 h) had the highest BMI and waist in both men and women. Based on multiple regression analysis with age, smoking, alcohol drinking, systolic and diastolic blood pressure, mean daily sleeping hours and working hours as independent variables, BMI was independently associated with age, systolic and diastolic blood pressure in women, whereas waist was associated with age, smoking and blood pressure. In men, blood pressure, sleeping hours and working hours were independently associated with BMI, whereas waist was independently associated with age, smoking, blood pressure, sleeping hours and working hours in men. Obesity is associated with reduced sleeping hours and long working hours in men among Hong Kong Chinese working population. Further studies are needed to investigate the underlying mechanisms of this relationship and its potential implication on prevention and management of obesity.

Construction-man hour estimation for nuclear power plants

International Nuclear Information System (INIS)

Paek, J.H.

1987-01-01

This study centers on a statistical analysis of the preliminary construction time, main construction time, and total construction man hours of nuclear power plants. The use of these econometric techniques allows the major man hour driving variables to be identified through multivariate analysis of time-series data on over 80 United States nuclear power plants. The analysis made in this study provides a clearer picture of the dynamic changes that have occurred in the man hours of these plants when compared to engineering estimates of man hours, and produces a tool that can be used to project nuclear power plant man hours

17 CFR 201.104 - Business hours.

Science.gov (United States)

2010-04-01

... 17 Commodity and Securities Exchanges 2 2010-04-01 2010-04-01 false Business hours. 201.104 Section 201.104 Commodity and Securities Exchanges SECURITIES AND EXCHANGE COMMISSION RULES OF PRACTICE Rules of Practice General Rules § 201.104 Business hours. The Headquarters office of the Commission, at...

Experience With Flexible Hours of Work

Science.gov (United States)

Hartley, Jo

1976-01-01

A summary of an 80-page booklet called Hours of Work When Workers Can Choose is presented. The booklet reports a survey and focuses on the benefits of flexible hours of work. It was published by the Business and Professional Women's Foundation and is available from that organization. (EC)

An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Science.gov (United States)

Nemati, Shamim; Holder, Andre; Razmi, Fereshteh; Stanley, Matthew D; Clifford, Gari D; Buchman, Timothy G

2018-04-01

Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-time prediction of sepsis onset. We aimed to develop and validate an Artificial Intelligence Sepsis Expert algorithm for early prediction of sepsis. Observational cohort study. Academic medical center from January 2013 to December 2015. Over 31,000 admissions to the ICUs at two Emory University hospitals (development cohort), in addition to over 52,000 ICU patients from the publicly available Medical Information Mart for Intensive Care-III ICU database (validation cohort). Patients who met the Third International Consensus Definitions for Sepsis (Sepsis-3) prior to or within 4 hours of their ICU admission were excluded, resulting in roughly 27,000 and 42,000 patients within our development and validation cohorts, respectively. None. High-resolution vital signs time series and electronic medical record data were extracted. A set of 65 features (variables) were calculated on hourly basis and passed to the Artificial Intelligence Sepsis Expert algorithm to predict onset of sepsis in the proceeding T hours (where T = 12, 8, 6, or 4). Artificial Intelligence Sepsis Expert was used to predict onset of sepsis in the proceeding T hours and to produce a list of the most significant contributing factors. For the 12-, 8-, 6-, and 4-hour ahead prediction of sepsis, Artificial Intelligence Sepsis Expert achieved area under the receiver operating characteristic in the range of 0.83-0.85. Performance of the Artificial Intelligence Sepsis Expert on the development and validation cohorts was indistinguishable. Using data available in the ICU in real-time, Artificial Intelligence Sepsis Expert can accurately predict the onset of sepsis in an ICU patient 4-12 hours prior to clinical recognition. A prospective study is necessary to determine the

Effectiveness of short-term numerical weather prediction in predicting growing degree days and meteorological conditions for apple scab appearance

Czech Academy of Sciences Publication Activity Database

Lalic, B.; Francia, M.; Eitzinger, Josef; Podrascanin, Z.; Arsenic, I.

2016-01-01

Roč. 23, č. 1 (2016), s. 50-56 ISSN 1350-4827 Institutional support: RVO:86652079 Keywords : venturia-inaequalis * temperature * equation * schemes * model * numerical weather prediction * disease prediction * verification * apple scab * growing degree days Subject RIV: DG - Athmosphere Sciences, Meteorology OBOR OECD: Meteorology and atmospheric sciences Impact factor: 1.411, year: 2016

U.S.-Japan Quake Prediction Research

Science.gov (United States)

Kisslinger, Carl; Mikumo, Takeshi; Kanamori, Hiroo

For the seventh time since 1964, a seminar on earthquake prediction has been convened under the U.S.-Japan Cooperation in Science Program. The purpose of the seminar was to provide an opportunity for researchers from the two countries to share recent progress and future plans in the continuing effort to develop the scientific basis for predicting earthquakes and practical means for implementing prediction technology as it emerges. Thirty-six contributors, 15 from Japan and 21 from the U.S., met in Morro Bay, Calif.September 12-14. The following day they traveled to nearby sections of the San Andreas fault, including the site of the Parkfield prediction experiment. The conveners of the seminar were Hiroo Kanamori, Seismological Laboratory, California Institute of Technology (Caltech), for the U.S., and Takeshi Mikumo, Disaster Prevention Research Institute, Kyoto University, for Japan . Funding for the participants came from the U.S. National Science Foundation and the Japan Society forthe Promotion of Science, supplemented by other agencies in both countries.

Development of a regional ensemble prediction method for probabilistic weather prediction

International Nuclear Information System (INIS)

Nohara, Daisuke; Tamura, Hidetoshi; Hirakuchi, Hiromaru

2015-01-01

A regional ensemble prediction method has been developed to provide probabilistic weather prediction using a numerical weather prediction model. To obtain consistent perturbations with the synoptic weather pattern, both of initial and lateral boundary perturbations were given by differences between control and ensemble member of the Japan Meteorological Agency (JMA)'s operational one-week ensemble forecast. The method provides a multiple ensemble member with a horizontal resolution of 15 km for 48-hour based on a downscaling of the JMA's operational global forecast accompanied with the perturbations. The ensemble prediction was examined in the case of heavy snow fall event in Kanto area on January 14, 2013. The results showed that the predictions represent different features of high-resolution spatiotemporal distribution of precipitation affected by intensity and location of extra-tropical cyclone in each ensemble member. Although the ensemble prediction has model bias of mean values and variances in some variables such as wind speed and solar radiation, the ensemble prediction has a potential to append a probabilistic information to a deterministic prediction. (author)

Six-Hours-Rule - A Dogma for Military Surgery?

National Research Council Canada - National Science Library

Gerngross, Heinz; Kahle, Wilhelm

2004-01-01

Today, the six-hours-rule is a delicate item for military logistics and it is a great challenge for medical services to provide an adequate treatment during the first hours after wounding. DEFINITION: Six-hour-rule...

Exploring Girls' Science Affinities Through an Informal Science Education Program

Science.gov (United States)

Todd, Brandy; Zvoch, Keith

2017-10-01

This study examines science interests, efficacy, attitudes, and identity—referred to as affinities, in the context of an informal science outreach program for girls. A mixed methods design was used to explore girls' science affinities before, during, and after participation in a cohort-based summer science camp. Multivariate analysis of survey data revealed that girls' science affinities varied as a function of the joint relationship between family background and number of years in the program, with girls from more affluent families predicted to increase affinities over time and girls from lower income families to experience initial gains in affinities that diminish over time. Qualitative examination of girls' perspectives on gender and science efficacy, attitudes toward science, and elements of science identities revealed a complex interplay of gendered stereotypes of science and girls' personal desires to prove themselves knowledgeable and competent scientists. Implications for the best practice in fostering science engagement and identities in middle school-aged girls are discussed.

"Hour of Code": A Case Study

Science.gov (United States)

Du, Jie; Wimmer, Hayden; Rada, Roy

2018-01-01

This study investigates the delivery of the "Hour of Code" tutorials to college students. The college students who participated in this study were surveyed about their opinion of the Hour of Code. First, the students' comments were discussed. Next, a content analysis of the offered tutorials highlights their reliance on visual…

Self-Efficacy Beliefs, Motivation, Race, and Gender in Middle School Science

Science.gov (United States)

Britner, Shari L.; Pajares, Frank

The purpose of this study was to discover whether the science motivation beliefs of middle school students (N = 262) vary as a function of their gender or race/ethnicity and to determine whether science self-efficacy beliefs predict science achievement when motivation variables shown to predict achievement in other academic areas are controlled. Girls reported stronger science self-efficacy and self-efficacy for self-regulation, and they received higher grades in science. Boys had stronger performance-approach goals. White students had stronger self-efficacy and achievement, and African American students reported stronger task goals. Self-efficacy was the only motivation variable to predict the science achievement of girls, boys, and White students. Self-efficacy and self-concept predicted the science achievement of African American students. Results are interpreted from the perspective of Bandura's social cognitive theory.

Changing the Formula of Residents' Work Hours in Internal Medicine: Moving From “Years in Training” to “Hours in Training”

Science.gov (United States)

Mansi, Ishak A

2011-01-01

Background In a recent report, the Institute of Medicine recommended more restrictions on residents' working hours. Several problems exist with a system that places a weekly limit on resident duty hours: (1) it assumes the presence of a linear relationship between hours of work and patient safety; (2) it fails to consider differences in intensity among programs; and (3) it does not address increases in the scientific content of medicine, and it places the burden of enforcing the duty hour limits on the Accreditation Council for Graduate Medical Education. Proposal An innovative method of calculating credit hours for graduate medical education would shift the focus from “years of residency” to “hours of residency.” For example, internal medicine residents would be requested to spend 8640 hours of total training hours (assuming 60 hours per week for 48 weeks annually) instead of the traditional 3 years. This method of counting training hours is used by other professions, such as the Intern Development Program of the National Council of Architectural Registration Boards. The proposed approach would allow residents and program directors to pace training based on individual capabilities. Standards for resident education should include the average number of patients treated in each setting (inpatient or outpatient). A possible set of “multipliers” based on these parameters, and possibly others such as resident evaluation, is devised to calculate the “final adjusted accredited hours” that count toward graduation. Anticipated Benefits Substituting “years of training” with “hours of training” may resolve many of the concerns with the current residency education model, as well as adapt to the demands of residents' personal lives. It also may allow residents to pace their training according to their capabilities and learning styles, and contribute to reflective learning and better quality education. PMID:22379516

Scheduling science on television: A comparative analysis of the representations of science in 11 European countries.

Science.gov (United States)

Lehmkuhl, Markus; Karamanidou, Christina; Mörä, Tuomo; Petkova, Kristina; Trench, Brian

2012-11-01

This article explores the factors that influence the volume and structure of science programming by European television broadcasters, focussing on differences among channel patterns. It proposes three factors as relevant to understanding differences in science programming: A) the segmentation/fragmentation of television markets; B) the presence of middle sized commercial channels; C) the dependency of public service TV channels on commercial income (trading/advertising). We identified countries whose channel patterns encourage a varied picture of science - namely Sweden, Finland and Germany. They are distinguished from those which show a less differentiated picture and present a smaller volume of science content on television - such as Great Britain and Ireland. Finally, we identified countries whose channel patterns don't encourage a varied picture of science - namely Spain, Greece, Bulgaria and Estonia - and these countries present their small volume of science content at off-peak hours, in contrast to patterns in Great Britain and Ireland.

Flexible forms of working hours

OpenAIRE

Knapp, Viktor

2017-01-01

66 Abstract - Flexible forms of working hours This diploma thesis deals with the flexible forms of working hours and its goal is to describe this issue in intelligible and comprehensive way. It is being very interesting and current theme which is to a great extent not subject to direct legal regulations and provides its contracting parties with a big amount of freedom of contract. This fact assists in bigger flexibilization of labour market and represents a significant instrument in the fight...

Behavioural sciences at university of health sciences: the way forward

International Nuclear Information System (INIS)

Khan, J.S.; Mukhtar, O.; Tabasum, S.

2016-01-01

Background: The association of medical ethics with teaching and training and health profession has been informal, largely dependent on role modelling and the social contract of the physicians with the community that they abide by. This study was conducted to examine the effect, if any, of introducing the subject of Behavioural Sciences on students performance in the clinical years viva voce and patient interactions components of the examinations. Methods: A prospective study on four cohorts of students at UHS from 2007 to 2012 (8,155 candidates). Reliability was calculated through Cronbach Alpha. Linear Regression Analysis was applied to determine the relationship between the scores of Basic Medical Sciences, Behavioural Sciences and Forensic medicine with the viva voce and Structured Stations marks of the Clinical Sciences in OSCE. Gender and demographics analysis was also done. Results: Cronbach Alpha was 0.47, 0.63, 0.67 and 0.53 for the Papers of Behavioural Sciences from 2007 to 2010 respectively. Poor predictive value of Behavioural Sciences for performance in the clinical years viva voce and OSCE was identified. Basic Medical Sciences and Forensic Medicine were statistically significant predictors for the performance of female candidates in all four cohorts of the study (p<0.05). In Central Punjab, Behavioural Sciences statistically significantly predicted for better performance in all four cohorts of the study (p<0.05). Conclusion: It is premature to understand the results of Behavioural Sciences teaching at University of Health Sciences (UHS). We can still safely conclude that it can only have a positive sustained effect on the healthcare delivery systems and patient care in Pakistan if it is integrated within each subject and taught and learned not as a theoretical construct but rather an evaluation of one values within the code of conduct of medical professionalism in the larger context of the societal and cultural norms. (author)

Quits and job changes among home care workers in Maine: the role of wages, hours, and benefits.

Science.gov (United States)

Morris, Lisa

2009-10-01

Figuring out how to make home care jobs more attractive has become a top policy priority. This study investigates the impact of wages, hours, and benefits on the retention of home care workers. Using a 2-wave survey design and a sample of home care workers from Maine, the factors associated with turnover intentions, actual turnover, and job-to-job transitions are examined. The analysis uses actual data on hours, wages, and benefits at current and subsequent jobs and controls for perceived rewards and work conditions, personal characteristics, and local labor market conditions. Although the analysis finds that improved work conditions and non-pecuniary rewards of home-based direct care work have significant negative effects on turnover intentions, compensation accounts for more actual job turnover. Higher wages, more hours, and travel cost reimbursement are found to be significantly associated with reduced turnover. Although wages and hours appear to have stronger effects, health benefits do appear to have some significance in predicting job-to-job transitions. Although improving compensation presents budgetary challenges to home care agencies, for this low-income workforce, the ability to earn higher wages and work more hours may be more of an imperative than improved work conditions.

20 CFR 801.304 - Business hours.

Science.gov (United States)

2010-04-01

... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Business hours. 801.304 Section 801.304 Employees' Benefits BENEFITS REVIEW BOARD, DEPARTMENT OF LABOR ESTABLISHMENT AND OPERATION OF THE BOARD Action by the Board § 801.304 Business hours. The office of the Clerk of the Board at Washington, DC...

Impact of Working Hours on Work-Life Balance

OpenAIRE

Sarah Holly; Alwine Mohnen

2012-01-01

To examine the influence of working hours on employees' satisfaction, this article uses a large, representative set of panel data from German households (GSOEP). The results show that high working hours and overtime in general do not lead to decreased satisfaction. Rather, increasing working hours and overtime have positive effects on life and job satisfaction, whereas the desire to reduce working hours has a negative impact on satisfaction. In 2009, nearly 60% of employees wanted to reduce t...

Predicting the Heat Consumption in District Heating Systems using Meteorological Forecasts

DEFF Research Database (Denmark)

Nielsen, Henrik Aalborg, orlov 31.07.2008; Madsen, Henrik

that meteorological forecasts are available on-line. Such a service has recently been introduced by the Danish Meteorological Institute. However, actual meteorological forecasts has not been available for the work described here. Assuming the climate to be known the mean absolute relative prediction error for 72 hour......Methods for on-line prediction of heat consumption in district heating systems hour by hour for horizons up to 72 hours are considered in this report. Data from the district heating system Vestegnens Kraftvarmeselskab I/S is used in the investigation. During the development it has been assumed......, this is somewhat contrary to practice. The work presented is a demonstration of the value of the so called gray box approach where theoretical knowledge about the system under consideration is combined with information from measurements performed on the system in order to obtain a mathematical description...

Standard deviation of wind direction as a function of time; three hours to five hundred seventy-six hours

International Nuclear Information System (INIS)

Culkowski, W.M.

1976-01-01

The standard deviation of horizontal wind direction sigma/sub theta/ increases with time of averaging up to a maximum value of 104 0 . The average standard deviation of horizontal wind directions averaged over periods of 3, 5, 10, 16, 24, 36, 48, 72, 144, 288, and 576 hours were calculated from wind data obtained from a 100 meter tower in the Oak Ridge area. For periods up to 100 hours, sigma/sub theta/ varies as t/sup .28/; after 100 hours sigma/sub theta/ varies as 6.5 ln t

NOAA's National Air Quality Prediction and Development of Aerosol and Atmospheric Composition Prediction Components for NGGPS

Science.gov (United States)

Stajner, I.; McQueen, J.; Lee, P.; Stein, A. F.; Wilczak, J. M.; Upadhayay, S.; daSilva, A.; Lu, C. H.; Grell, G. A.; Pierce, R. B.

2017-12-01

NOAA's operational air quality predictions of ozone, fine particulate matter (PM2.5) and wildfire smoke over the United States and airborne dust over the contiguous 48 states are distributed at http://airquality.weather.gov. The National Air Quality Forecast Capability (NAQFC) providing these predictions was updated in June 2017. Ozone and PM2.5 predictions are now produced using the system linking the Community Multiscale Air Quality model (CMAQ) version 5.0.2 with meteorological inputs from the North American Mesoscale Forecast System (NAM) version 4. Predictions of PM2.5 include intermittent dust emissions and wildfire emissions from an updated version of BlueSky system. For the latter, the CMAQ system is initialized by rerunning it over the previous 24 hours to include wildfire emissions at the time when they were observed from the satellites. Post processing to reduce the bias in PM2.5 prediction was updated using the Kalman filter analog (KFAN) technique. Dust related aerosol species at the CMAQ domain lateral boundaries now come from the NEMS Global Aerosol Component (NGAC) v2 predictions. Further development of NAQFC includes testing of CMAQ predictions to 72 hours, Canadian fire emissions data from Environment and Climate Change Canada (ECCC) and the KFAN technique to reduce bias in ozone predictions. NOAA is developing the Next Generation Global Predictions System (NGGPS) with an aerosol and gaseous atmospheric composition component to improve and integrate aerosol and ozone predictions and evaluate their impacts on physics, data assimilation and weather prediction. Efforts are underway to improve cloud microphysics, investigate aerosol effects and include representations of atmospheric composition of varying complexity into NGGPS: from the operational ozone parameterization, GOCART aerosols, with simplified ozone chemistry, to CMAQ chemistry with aerosol modules. We will present progress on community building, planning and development of NGGPS.

Predicting Baseline for Analysis of Electricity Pricing

Energy Technology Data Exchange (ETDEWEB)

Kim, T. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Lee, D. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Choi, J. [Ulsan National Inst. of Science and Technology (Korea, Republic of); Spurlock, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sim, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Todd, A. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wu, K. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2016-05-03

To understand the impact of new pricing structure on residential electricity demands, we need a baseline model that captures every factor other than the new price. The standard baseline is a randomized control group, however, a good control group is hard to design. This motivates us to devlop data-driven approaches. We explored many techniques and designed a strategy, named LTAP, that could predict the hourly usage years ahead. The key challenge in this process is that the daily cycle of electricity demand peaks a few hours after the temperature reaching its peak. Existing methods rely on the lagged variables of recent past usages to enforce this daily cycle. These methods have trouble making predictions years ahead. LTAP avoids this trouble by assuming the daily usage profile is determined by temperature and other factors. In a comparison against a well-designed control group, LTAP is found to produce accurate predictions.

Enhanced Predictive Capability of a 1-Hour Oral Glucose Tolerance Test

DEFF Research Database (Denmark)

Pareek, Manan; Bhatt, Deepak L; Nielsen, Mette L

2018-01-01

OBJECTIVE: To examine whether the 1-h blood glucose measurement would be a more suitable screening tool for assessing the risk of diabetes and its complications than the 2-h measurement. RESEARCH DESIGN AND METHODS: We conducted a prospective population-based cohort study of 4,867 men, randomly...... selected from prespecified birth cohorts between 1921 and 1949, who underwent an oral glucose tolerance test with blood glucose measurements at 0, 1, and 2 h. Subjects were followed for up to 39 years, with registry-based recording of events. Discriminative abilities of elevated 1-h (≥8.6 mmol/L) versus 2......-h (≥7.8 mmol/L) glucose for predicting incident type 2 diabetes, vascular complications, and mortality were compared using Kaplan-Meier analysis, Cox proportional hazards regression, and net reclassification improvement. RESULTS: Median age was 48 years (interquartile range [IQR] 48-49). During...

Wind power prediction models

Science.gov (United States)

Levy, R.; Mcginness, H.

1976-01-01

Investigations were performed to predict the power available from the wind at the Goldstone, California, antenna site complex. The background for power prediction was derived from a statistical evaluation of available wind speed data records at this location and at nearby locations similarly situated within the Mojave desert. In addition to a model for power prediction over relatively long periods of time, an interim simulation model that produces sample wind speeds is described. The interim model furnishes uncorrelated sample speeds at hourly intervals that reproduce the statistical wind distribution at Goldstone. A stochastic simulation model to provide speed samples representative of both the statistical speed distributions and correlations is also discussed.

Analysis of 24-hour versus 48-hour traffic counts for HPMS sampling.

Science.gov (United States)

2014-04-01

The Illinois Department of Transportation (IDOT) has requested a waiver from the Federal Highway Administration (FHWA) to : allow IDOT to implement a 24-hour traffic-count program on the non-state HPMS routes, as opposed to the current Highway : Perf...

The aurora, Mars, and more! Increasing science content in elementary grades through art and literacy programs in earth and space science

Science.gov (United States)

Renfrow, S.; Wood, E. L.

2011-12-01

Although reading, writing, and math examinations are often conducted early in elementary school, science is not typically tested until 4th or 5th grade. The result is a refocus on the tested topics at the expense of the untested ones, despite that standards exist for each topic at all grades. On a national level, science instruction is relegated to a matter of a few hours per week. A 2007 Education Policy study states that elementary school students spend an average of 178 minutes a week on science while spending 500 minutes on literacy. A recent NSTA report in July of elementary and middle school teachers confirms that teachers feel pressured to teach math and literacy at the expense of other programs. One unintended result is that teachers in grades where science is tested must play catch-up with students for them to be successful on the assessment. A unique way to combat the lack of science instruction at elementary grades is to combine literacy, social studies, and math into an integrated science program, thereby increasing the number of science contact hours. The Dancing Lights program, developed at the Laboratory for Atmospheric and Space Physics, is a science, art, and literacy program about the aurora designed to easily fit into a typical 3rd-5th grade instructional day. It mirrors other successful literacy programs and will provide a basis for the literacy program being developed for the upcoming MAVEN mission to Mars. We will present early findings, as well as "lessons learned" during our development and implementation of the Dancing Lights program and will highlight our goals for the MAVEN mission literacy program.

Gender-specific dynamics in hours worked : Exploring the potential for increasing hours worked in an ageing society

NARCIS (Netherlands)

Noback, Inge; Broersma, Lourens; van Dijk, Jouke; Karlsson, Charlie; Andersson, Martin; Norman, Therese

2015-01-01

The Dutch labour market differs from that of other countries due to a unique combination of high employment rates and a low average number of hours worked. Dutch employment rates are among the highest in the world, at 77 per cent in 2011. At the same time, the average number of hours worked annually

Interns shall not sleep: the duty hours boomerang

Directory of Open Access Journals (Sweden)

Quan SF

2017-04-01

Full Text Available No abstract available. Article truncated after 150 words. On March 10, 2017, the Accreditation Council for Graduate Medical Education (ACGME announced revisions to its common program requirements related to duty hours (1. Effective on July 1, 2017, the most important change will be an increase in the maximum consecutive hours that an intern may work. Interns will now be able to continuously perform patient care work up to a maximum of 24 hours with an additional 4 hours for managing care transitions. This reverses the controversial reduction to 16 hours that occurred in 2011 (2. The regulation of house staff duty hours formally began in the late 1980s. It was precipitated largely because of the publicity resulting from the 1984 death of Libby Zion in a New York teaching hospital that was attributed partly to poor decisions made by fatigued and overworked house staff (3. Consequently, the state of New York in 1989 passed laws restricting the …

Economic Analysis of Long Working Hours (Japanese)

OpenAIRE

OHTAKE Fumio; OKUDAIRA Hiroko

2008-01-01

In this paper we set out the economic grounds for restrictions on long working hours and conduct an empirical analysis using surveys from the perspective of behavioral economics. The results of the analysis indicate that, on a year-on-year basis, if state of health improves, the probability of working more than 60 hours per week increases significantly, but that even when state of health deteriorates there is no decrease in the probability of working long hours. Moreover, among male managemen...

Comparison of Sports Sciences and Education Faculty Students' Aggression Scores

Science.gov (United States)

Atan, Tülin

2016-01-01

The aim of this study was to compare the aggression scores of Sports Sciences Faculty and Education Faculty students and also to examine the effects of some demographic variables on aggression. Two hundred Sports Sciences Faculty students (who engage in sporting activities four days a week for two hours) and 200 Education Faculty students (who do…

Health problems due to long working hours in Japan: working hours, workers' compensation (Karoshi), and preventive measures.

Science.gov (United States)

Iwasaki, Kenji; Takahashi, Masaya; Nakata, Akinori

2006-10-01

Late in the 1970s, serious social concern over health problems due to long working hours has arisen in Japan. This report briefly summarizes the Japanese circumstances about long working hours and what the Government has achieved so far. The national statistics show that more than 6 million people worked for 60 h or more per week during years 2000 and 2004. Approximately three hundred cases of brain and heart diseases were recognized as labour accidents resulting from overwork (Karoshi) by the Ministry of Health, Labour and Welfare (MHLW) between 2002 and 2005. Consequently, the MHLW has been working to establish a more appropriate compensation system for Karoshi, as well as preventive measures for overwork related health problems. In 2001, the MHLW set the standards for clearly recognizing Karoshi in association with the amount of overtime working hours. These standards were based on the results of a literature review and medical examinations indicating a relationship between overwork and brain and heart diseases. In 2002, the MHLW launched the program for the prevention of health impairment due to overwork, and in 2005 the health guidance through an interview by a doctor for overworked workers has been enacted as law. Long working hours are controversial issues because of conflicts between health, safety, work-life balance, and productivity. It is obvious that we need to continue research regarding the impact on worker health and the management of long working hours.

Long working hours and physical activity.

Science.gov (United States)

Angrave, David; Charlwood, Andy; Wooden, Mark

2015-08-01

It is widely believed that persons employed in jobs demanding long working hours are at greater risk of physical inactivity than other workers, primarily because they have less leisure time available to undertake physical activity. The aim of this study was to test this hypothesis using prospective data obtained from a nationally representative sample of employed persons. Longitudinal data from the Household, Income and Labour Dynamics in Australia Survey (93,367 observations from 17,893 individuals) were used to estimate conditional fixed effects logistic regression models of the likelihood of moderate or vigorous physical exercise for at least 30 min, at least four times a week. No significant associations between long working hours and the incidence of healthy levels of physical activity were uncovered once other exogenous influences on activity levels were controlled for. The odds of men or women who usually work 60 or more hours per week exercising at healthy levels were 6% and 11% less, respectively, than those of comparable persons working a more standard 35-40 h/week; however, neither estimate was significantly different from 0 at 95% CI. The findings suggest that there is no trade-off between long working hours and physical activity in Australia. It is argued that these findings are broadly consistent with previous research studies from Anglo-Saxon countries (where long working hours are pervasive) that employed large nationally representative samples. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Changing the face of science: Lessons from the 2017 Science-A-Thon

Science.gov (United States)

Barnes, R. T.; Licker, R.; Burt, M. A.; Holloway, T.

2017-12-01

Studies have shown that over two-thirds of Americans cannot name a living scientist. This disconnect is a concern for science and scientists, considering the large role of public funding for science, and the importance of science in many policy issues. As a large-scale public outreach initiative and fundraiser, the Earth Science Women's Network (ESWN) launched "Science-A-Thon" on July 13, 2017. This "day of science" invited participants to share 12 photos over 12 hours of a day, including both personal routines and professional endeavors. Over 200 scientists participated, with the #DayofScience hashtag trending on Twitter for the day. Earth scientists represented the largest portion of participants, but the event engaged cancer biologists, computer scientists, and more, including scientists from more than 10 countries. Science-A-Thon builds on the success and visibility of other social media campaigns, such as #actuallivingscientist and #DresslikeaWoman. Importantly these efforts share a common goal, by providing diverse images of scientists we can shift the public perception of who a scientist is and what science looks like in the real world. This type of public engagement offers a wide range of potential role models for students, and individual stories to increase public engagement with science. Social media campaigns such as this shift the public perception of who scientists are, why they do what they do, and what they do each day. The actions and conversations emerging from Science-A-Thon included scientists talking about (1) their science and motivation, (2) the purpose and need for ESWN, and (3) why they chose to participate in this event increased the reach of a social media campaign and fundraiser.

Flexible working hours and well-being in Finland.

Science.gov (United States)

Kandolin, I; Härmä, M; Toivanen, M

2001-12-01

Flexibility of working hours became more prevalent in the 1990s in Finland. According to a representative survey on Finnish wage and salary earners (n = 1790) at the beginning of 2000, a great majority of male (76%) and female (65%) employees regularly worked overtime and/or had irregular working hours every month. These employees were flexible in meeting the needs of their companies/employers. Individual flexibility of working hours was far less common, only one third of male and female employees were able to regulate their working hours. A better balance between company-controlled and individual flexibility would, however, improve the well-being of employees. Employees working overtime without being allowed to regulate their working hours felt more symptoms of distress and had more conflicts in combining workplace and family roles than those who could individually determine their working hours flexibly. An investment in individually determined flexibility, for example by means of participatory planning, would improve the well-being of employees, and thus also improve the productivity of the organization.

Predicting blood transfusion using automated analysis of pulse oximetry signals and laboratory values.

Science.gov (United States)

Shackelford, Stacy; Yang, Shiming; Hu, Peter; Miller, Catriona; Anazodo, Amechi; Galvagno, Samuel; Wang, Yulei; Hartsky, Lauren; Fang, Raymond; Mackenzie, Colin

2015-10-01

Identification of hemorrhaging trauma patients and prediction of blood transfusion needs in near real time will expedite care of the critically injured. We hypothesized that automated analysis of pulse oximetry signals in combination with laboratory values and vital signs obtained at the time of triage would predict the need for blood transfusion with accuracy greater than that of triage vital signs or pulse oximetry analysis alone. Continuous pulse oximetry signals were recorded for directly admitted trauma patients with abnormal prehospital shock index (heart rate [HR] / systolic blood pressure) of 0.62 or greater. Predictions of blood transfusion within 24 hours were compared using Delong's method for area under the receiver operating characteristic (AUROC) curves to determine the optimal combination of triage vital signs (prehospital HR + systolic blood pressure), pulse oximetry features (40 waveform features, O2 saturation, HR), and laboratory values (hematocrit, electrolytes, bicarbonate, prothrombin time, international normalization ratio, lactate) in multivariate logistic regression models. We enrolled 1,191 patients; 339 were excluded because of incomplete data; 40 received blood within 3 hours; and 14 received massive transfusion. Triage vital signs predicted need for transfusion within 3 hours (AUROC, 0.59) and massive transfusion (AUROC, 0.70). Pulse oximetry for 15 minutes predicted transfusion more accurately than triage vital signs for both time frames (3-hour AUROC, 0.74; p = 0.004) (massive transfusion AUROC, 0.88; p transfusion prediction (3-hour AUROC, 0.84; p transfusion AUROC, 0.91; p blood transfusion during trauma resuscitation more accurately than triage vital signs or pulse oximetry analysis alone. Results suggest automated calculations from a noninvasive vital sign monitor interfaced with a point-of-care laboratory device may support clinical decisions by recognizing patients with hemorrhage sufficient to need transfusion. Epidemiologic

Excel VBA 24-hour trainer

CERN Document Server

Urtis, Tom

2015-01-01

Master VBA automation quickly and easily to get more out of Excel Excel VBA 24-Hour Trainer, 2nd Edition is the quick-start guide to getting more out of Excel, using Visual Basic for Applications. This unique book/video package has been updated with fifteen new advanced video lessons, providing a total of eleven hours of video training and 45 total lessons to teach you the basics and beyond. This self-paced tutorial explains Excel VBA from the ground up, demonstrating with each advancing lesson how you can increase your productivity. Clear, concise, step-by-step instructions are combined wit

Ventures in science status report, Summer 1992

Energy Technology Data Exchange (ETDEWEB)

1992-11-01

The Ventures in Science summer program is directed towards students who are from underrepresented minority groups in mathematics and science professions. The target group of 40 was drawn from eligible students who will be entering high school freshman in the fall of 1992. 450 students applied. The theme for the summer is Chicago as an Ecosystem. The students are instructed in integrated math and science (2 hours), English/ESL (1 1/2 hrs.), counseling (1 hr.) and, physical education (1 hr.) each day four days a week. Integrated math and science are team taught. Parents are invited to participate in two workshops that will be presented based on their input. Parents may also visit the program at any time and participate in any field trip.

A Century of Human Capital and Hours

OpenAIRE

Diego Restuccia; Guillaume Vandenbroucke

2012-01-01

An average person born in the United States in the second half of the nineteenth century completed 7 years of schooling and spent 58 hours a week working in the market. By contrast, an average person born at the end of the twentieth century completed 14 years of schooling and spent 40 hours a week working. In the span of 100 years, completed years of schooling doubled and working hours decreased by 30 percent. What explains these trends? We consider a model of human capital and labor supply t...

Regulating danger on the highways: hours of service regulations.

Science.gov (United States)

Mansfield, Daniel; Kryger, Meir

2015-12-01

Current hours of service regulations governing commercial truck drivers in place in the United States, Canada, Australia, and the European Union are summarized and compared to facilitate the assessment of the effectiveness of such provisions in preventing fatigue and drowsiness among truck drivers. Current hours of service provisions governing commercial truck drivers were derived from governmental sources. The commercial truck driver hours of service provisions in the United States, Canada, and the European Union permit drivers to work 14 hours and those of Australia permit drivers to work 12 hours a day on a regular basis. The regulations do not state what a driver may do with time off. They are consistent with a driver being able to drive after 24 hours without sleep. They do not take into account circadian rhythm by linking driving or rest to time of day. Current hours of service regulations governing commercial truck drivers leave gaps--permitting drivers to work long hours on a regular basis, permitting driving after no sleep for 24 hours, and failing to take into account the importance of circadian rhythm, endangering the public safety and the truck drivers themselves. Copyright © 2015 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Long working hours and alcohol use

DEFF Research Database (Denmark)

Virtanen, Marianna; Jokela, Markus; Nyberg, Solja T

2015-01-01

.2%). There was no difference in these associations between men and women or by age or socioeconomic groups, geographical regions, sample type (population based v occupational cohort), prevalence of risky alcohol use in the cohort, or sample attrition rate. CONCLUSIONS: Individuals whose working hours exceed standard......OBJECTIVE: To quantify the association between long working hours and alcohol use. DESIGN: Systematic review and meta-analysis of published studies and unpublished individual participant data. DATA SOURCES: A systematic search of PubMed and Embase databases in April 2014 for published studies......, supplemented with manual searches. Unpublished individual participant data were obtained from 27 additional studies. REVIEW METHODS: The search strategy was designed to retrieve cross sectional and prospective studies of the association between long working hours and alcohol use. Summary estimates were...

Migration plans and hours of work in Malaysia.

Science.gov (United States)

Gillin, E D; Sumner, D A

1985-01-01

"This article describes characteristics of prospective migrants in the Malaysian Family Life Survey and investigates how planning to move affects hours of work. [The authors] use ideas about intertemporal substitution...to discuss the response to temporary and permanent wage expectations on the part of potential migrants. [An] econometric section presents reduced-form estimates for wage rates and planned migration equations and two-stage least squares estimates for hours of work. Men currently planning a move were found to work fewer hours. Those originally planning only a temporary stay at their current location work more hours." excerpt

NASA faked the moon landing--therefore, (climate) science is a hoax: an anatomy of the motivated rejection of science.

Science.gov (United States)

Lewandowsky, Stephan; Oberauer, Klaus; Gignac, Gilles E

2013-05-01

Although nearly all domain experts agree that carbon dioxide emissions are altering the world's climate, segments of the public remain unconvinced by the scientific evidence. Internet blogs have become a platform for denial of climate change, and bloggers have taken a prominent role in questioning climate science. We report a survey of climate-blog visitors to identify the variables underlying acceptance and rejection of climate science. Our findings parallel those of previous work and show that endorsement of free-market economics predicted rejection of climate science. Endorsement of free markets also predicted the rejection of other established scientific findings, such as the facts that HIV causes AIDS and that smoking causes lung cancer. We additionally show that, above and beyond endorsement of free markets, endorsement of a cluster of conspiracy theories (e.g., that the Federal Bureau of Investigation killed Martin Luther King, Jr.) predicted rejection of climate science as well as other scientific findings. Our results provide empirical support for previous suggestions that conspiratorial thinking contributes to the rejection of science. Acceptance of science, by contrast, was strongly associated with the perception of a consensus among scientists.

Opinions of Secondary School Science and Mathematics Teachers on STEM Education

Science.gov (United States)

Yildirim, Bekir; Türk, Cumhur

2018-01-01

In this study, the opinions of middle school science teachers and mathematics teachers towards STEM education were examined. The research was carried out for 30 hours with 28 middle school science and mathematics teachers who were working in Istanbul during the spring semester of 2016-2017 academic year. 75% of these teachers are female teachers…

A direct sensitivity approach to predict hourly ozone resulting from compliance with the National Ambient Air Quality Standard.

Science.gov (United States)

Simon, Heather; Baker, Kirk R; Akhtar, Farhan; Napelenok, Sergey L; Possiel, Norm; Wells, Benjamin; Timin, Brian

2013-03-05

In setting primary ambient air quality standards, the EPA's responsibility under the law is to establish standards that protect public health. As part of the current review of the ozone National Ambient Air Quality Standard (NAAQS), the US EPA evaluated the health exposure and risks associated with ambient ozone pollution using a statistical approach to adjust recent air quality to simulate just meeting the current standard level, without specifying emission control strategies. One drawback of this purely statistical concentration rollback approach is that it does not take into account spatial and temporal heterogeneity of ozone response to emissions changes. The application of the higher-order decoupled direct method (HDDM) in the community multiscale air quality (CMAQ) model is discussed here to provide an example of a methodology that could incorporate this variability into the risk assessment analyses. Because this approach includes a full representation of the chemical production and physical transport of ozone in the atmosphere, it does not require assumed background concentrations, which have been applied to constrain estimates from past statistical techniques. The CMAQ-HDDM adjustment approach is extended to measured ozone concentrations by determining typical sensitivities at each monitor location and hour of the day based on a linear relationship between first-order sensitivities and hourly ozone values. This approach is demonstrated by modeling ozone responses for monitor locations in Detroit and Charlotte to domain-wide reductions in anthropogenic NOx and VOCs emissions. As seen in previous studies, ozone response calculated using HDDM compared well to brute-force emissions changes up to approximately a 50% reduction in emissions. A new stepwise approach is developed here to apply this method to emissions reductions beyond 50% allowing for the simulation of more stringent reductions in ozone concentrations. Compared to previous rollback methods, this

Relationship Between 24-Hour Ambulatory Blood Pressure and Cognitive Function in Community-Living Older Adults: The UCSD Ambulatory Blood Pressure Study.

Science.gov (United States)

Conway, Kyle S; Forbang, Nketi; Beben, Tomasz; Criqui, Michael H; Ix, Joachim H; Rifkin, Dena E

2015-12-01

Twenty-four-hour ambulatory blood pressure (BP) patterns have been associated with diminished cognitive function in hypertensive and very elderly populations. The relationship between ambulatory BP patterns and cognitive function in community-living older adults is unknown. We conducted a cross-sectional study in which 24-hour ambulatory BP, in-clinic BP, and cognitive function measures were obtained from 319 community-living older adults. The mean age was 72 years, 66% were female, and 13% were African-American. We performed linear regression with performance on the Montreal Cognitive Assessment (MoCA) as the primary outcome and 24-hour BP patterns as the independent variable, adjusting for age, sex, race/ethnicity, education, and comorbidities. Greater nighttime systolic dipping (P = 0.046) and higher 24-hour diastolic BP (DBP; P = 0.015) were both significantly associated with better cognitive function, whereas 24-hour systolic BP (SBP), average real variability, and ambulatory arterial stiffness were not. Higher 24-hour DBP and greater nighttime systolic dipping were significantly associated with improved cognitive function. Future studies should examine whether low 24-hour DBP and lack of nighttime systolic dipping predict future cognitive impairment. © American Journal of Hypertension, Ltd 2015. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Are long physician working hours harmful to patient safety?

Science.gov (United States)

Ehara, Akira

2008-04-01

Pediatricians of Japanese hospitals including not only residents but also attending physicians work long hours, and 8% work for >79 h per week. Most of them work consecutively for >or=32 h when they are on call. The aim of the present study was to evaluate the effect of long work hours on patient safety. The electronic databases MEDLINE and EMBASE to searched identify the English- and Japanese-language literature for studies on work hours, medical errors, patient safety, and malpractice for years 1966-2005. Studies that analyzed the relationship between physician work hours and outcomes directly related to patient safety were selected. Seven studies met the criteria. Four studies suggest that reduction of work hours has a favorable effect on patient safety indicators. In the other three studies no significant changes of the indicators were observed, but no report found that shorter work hours were harmful to patient safety. Decrease of physician work hours is not harmful but favorable to patient safety.

Work-hour restrictions as an ethical dilemma for residents.

Science.gov (United States)

Carpenter, Robert O; Austin, Mary T; Tarpley, John L; Griffin, Marie R; Lomis, Kimberly D

2006-04-01

We propose that the standardized work-hour limitations have created an ethical dilemma for residents. A survey tool was designed to assess factors that influence the number of hours residents work and report. The program directors of pediatrics, internal medicine, and general surgery at our institution supported their residents' participation. A voluntary, anonymous survey of these residents was performed. One hundred seventy of 265 eligible residents were surveyed. Eighty-one percent of residents surveyed responded. Eighty percent of respondents reported exceeding work-hour restrictions at least once within the past 6 months. The factor of greatest influence measured was concern for patient care (80%). Forty-nine percent of respondents admitted underreporting their work hours. The Accreditation Council for Graduate Medical Education work-hour restrictions have created an ethical dilemma for residents. Our data show that a significant number of residents feel compelled to exceed work-hour regulations and report those hours falsely.

Research Opportunities in Corrosion Science for Long-Term Prediction of Materials Performance: A Report of the DOE Workshop on “Corrosion Issues of Relevance to the Yucca Mountain Waste Repository”.

Energy Technology Data Exchange (ETDEWEB)

Payer, Joe H. [Case Western Reserve Univ., Cleveland, OH (United States); Scully, John R. [Univ. of Virginia, Charlottesville, VA (United States)

2003-07-29

The report summarizes the findings of a U.S. Department of Energy workshop on “Corrosion Issues of Relevance to the Yucca Mountain Waste Repository”. The workshop was held on July 29-30, 2003 in Bethesda, MD, and was co-sponsored by the Office of Basic Energy Sciences and Office of Civilian Radioactive Waste Management. The workshop focus was corrosion science relevant to long-term prediction of materials performance in hostile environments, with special focus on relevance to the permanent disposal of nuclear waste at the Yucca Mountain Repository. The culmination of the workshop is this report that identifies both generic and Yucca Mountain Project-specific research opportunities in basic and applied topic areas. The research opportunities would be realized well after the U.S. Nuclear Regulatory Commission’s initial construction-authorization licensing process. At the workshop, twenty-three invited scientists deliberated on basic and applied science opportunities in corrosion science relevant to long-term prediction of damage accumulation by corrosive processes that affect materials performance.

Prediction of Precipitation Strengthening in the Commercial Mg Alloy AZ91 Using Dislocation Dynamics

Science.gov (United States)

Aagesen, L. K.; Miao, J.; Allison, J. E.; Aubry, S.; Arsenlis, A.

2018-03-01

Dislocation dynamics simulations were used to predict the strengthening of a commercial magnesium alloy, AZ91, due to β-Mg17Al12 formed in the continuous precipitation mode. The precipitate distributions used in simulations were determined based on experimental characterization of the sizes, shapes, and number densities of the precipitates for 10-hour aging and 50-hour aging. For dislocations gliding on the basal plane, which is expected to be the dominant contributor to plastic deformation at room temperature, the critical resolved shear stress to bypass the precipitate distribution was 3.5 MPa for the 10-hour aged sample and 16.0 MPa for the 50-hour aged sample. The simulation results were compared to an analytical model of strengthening in this alloy, and the analytical model was found to predict critical resolved shear stresses that were approximately 30 pct lower. A model for the total yield strength was developed and compared with experiment for the 50-hour aged sample. The predicted yield strength, which included the precipitate strengthening contribution from the DD simulations, was 132.0 MPa, in good agreement with the measured yield strength of 141 MPa.

Using psychological constructs from the MUSIC Model of Motivation to predict students' science identification and career goals: results from the U.S. and Iceland

Science.gov (United States)

Jones, Brett D.; Sahbaz, Sumeyra; Schram, Asta B.; Chittum, Jessica R.

2017-05-01

We investigated students' perceptions related to psychological constructs in their science classes and the influence of these perceptions on their science identification and science career goals. Participants included 575 middle school students from two countries (334 students in the U.S. and 241 students in Iceland). Students completed a self-report questionnaire that included items from several measures. We conducted correlational analyses, confirmatory factor analyses, and structural equation modelling to test our hypotheses. Students' class perceptions (i.e. empowerment, usefulness, success, interest, and caring) were significantly correlated with their science identification, which was correlated positively with their science career goals. Combining students' science class perceptions, science identification, and career goals into one model, we documented that the U.S. and Icelandic samples fit the data reasonably well. However, not all of the hypothesised paths were statistically significant. For example, only students' perceptions of usefulness (for the U.S. and Icelandic students) and success (for the U.S. students only) significantly predicted students' career goals in the full model. Theoretically, our findings are consistent with results from samples of university engineering students, yet different in some ways. Our results provide evidence for the theoretical relationships between students' perceptions of science classes and their career goals.

Zephyr - the next generation prediction

DEFF Research Database (Denmark)

Giebel, G.; Landberg, L.; Nielsen, Torben Skov

2001-01-01

Technical University. This paper will describe a new project funded by the Danish Ministry of Energy where the largest Danish utilities (Elkraft, Elsam, Eltra and SEAS) are participating. Two advantages can be achieved by combining the effort: The software architecture will be state-of-the-art, using...... the Java2TM platform and Enterprise Java Beans technology, and it will ensure that the best forecasts are given on all prediction horizons from the short range (0-9 hours) to the long range (36-48 hours). This is because the IMM approach uses online data and advanced statistical methods, which...

Long working hours and alcohol use

DEFF Research Database (Denmark)

Virtanen, Marianna; Jokela, Markus; Nyberg, Solja T

2015-01-01

OBJECTIVE: To quantify the association between long working hours and alcohol use. DESIGN: Systematic review and meta-analysis of published studies and unpublished individual participant data. DATA SOURCES: A systematic search of PubMed and Embase databases in April 2014 for published studies......, supplemented with manual searches. Unpublished individual participant data were obtained from 27 additional studies. REVIEW METHODS: The search strategy was designed to retrieve cross sectional and prospective studies of the association between long working hours and alcohol use. Summary estimates were...... countries. The pooled maximum adjusted odds ratio for the association between long working hours and alcohol use was 1.11 (95% confidence interval 1.05 to 1.18) in the cross sectional analysis of published and unpublished data. Odds ratio of new onset risky alcohol use was 1.12 (1.04 to 1...

Duty hour reform in a shifting medical landscape.

Science.gov (United States)

Jena, Anupam B; Prasad, Vinay

2013-09-01

The circumstances that led to the death of Libby Zion in 1984 prompted national discussions about the impact of resident fatigue on patient outcomes. Nearly 30 years later, national duty hour reforms largely motivated by patient safety concerns have demonstrated a negligible impact of duty hour reductions on patient mortality. We suggest that the lack of an impact of duty hour reforms on patient mortality is due to a different medical landscape today than existed in 1984. Improvements in quality of care made possible by computerized order entry, automated medication checks, inpatient pharmacists, and increased resident supervision have, among other systemic changes, diminished the adverse impact that resident fatigue is able to have on patient outcomes. Given this new medical landscape, advocacy towards current and future duty hour reforms may be best justified by evidence of the impact of duty hour reform on resident wellbeing, education, and burnout.

Work hours and absenteeism among police officers.

Science.gov (United States)

Fekedulegn, Desta; Burchfiel, Cecil M; Hartley, Tara A; Baughman, Penelope; Charles, Luenda E; Andrew, Michael E; Violanti, John M

2013-01-01

In this study, the cross-sectional association of paid work hours with episodes of work absence was examined in a cohort of police officers. Study subjects were participants from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) study examined between 2004 and 2009. Among 395 study participants with complete data, day-by-day work history records during the one-year period prior to date of examination were used to determine episodes of one-day and three day work absence. The Negative binomial regression analysis was used to examine rate ratios (RR) of work absence. Analyses were also stratified by gender. A one-hour increase in total work hours was associated with 5% reduction in rate of one-day work absence (RR = 0.95, 95% CI: 0.92 - 0.98) and with 8% reduction in rate of three-day work absence (RR = 0.92, 95% CI: 0.89 - 0.95). The association of total work hours with episodes of one-day work absence was significant only in men while the association with episodes of three-day work absence was evident in men and women. In conclusion, in this cohort of police officers, work hours were negatively associated with both durations of work absence (one-day, > or = 3 consecutive days).

Evaluation of a twelve-hour/day shift schedule

International Nuclear Information System (INIS)

Lewis, P.M.; Swaim, D.J.

1986-01-01

In April 1985, the operating crews at the Fast Flux Test Facility near Richland, Washington, changed their rotating shift schedule from an 8-hour to a 12-hour a day work schedule. The primary purpose of the change was to reduce the attrition of operators by increasing their job satisfaction. Eighty-four percent of the operators favored the change. A program was established to evaluate the effects on plant performance, operator alertness, attrition, sleep, health, job satisfaction, and off-the-job satisfaction. Preliminary results from that evaluation program indicate that the 12-hour shift schedule is a reasonable alternative to an 8-hour schedule at this facility

168 Hours Salt Fog Test

International Nuclear Information System (INIS)

Nur Ubaidah Saidin; Muhamad Daud; Siti Radiah Mohd Kamarudin

2011-01-01

This report explained the test conducted in salt fog chamber to evaluate the effectiveness of mild steel, coated with rust converter, for 168 hours in artificial seawater exposure. The samples were compared with mild steel coated with commercial primer. The tests were conducted followed ASTM B117. Individual pictures were taken of each sample before the tests began, at 24, 48, 72, 96, 120, 144 and 168 hours to see the progression of the corrosion. Results showed that the samples coated with rust converter provide a good significant protection against corrosion phenomenon than the samples coated with commercial primer that available in the market. (author)

Flexibility of working hours in the 24-hour society.

Science.gov (United States)

Costa, G

2006-01-01

The 24-hour Society undergoes an ineluctable process towards a social organisation where time constraints are no more restricting human life. The borders between working and social times are no more fixed and rigidly determined, and the value of working time changes according to the different economic and social effects you may consider. Shift and night work, irregular and flexible working hours, together with new technologies, are the milestone of this epochal passage. What are the advantages and disadvantages for the individual, the companies, and the society? What is the cost/benefit ratio in terms of health and social well-being? Coping properly with this process means avoiding a passive acceptance of it with consequent maladjustments at both individual and social level, but adopting effective preventive and compensative strategies aimed at building up a more sustainable society. Flexible working times now appear to be one of the best ways to cope with the demands of the modern life, but there are different points of view about labour and temporal 'flexibility" between employers and employees. For the former it means a prompt adaptation to market demands and technological innovations; for the latter it is a way to improve working and social life, by decreasing work constraints and increasing control and autonomy. Although it can be easily speculated that individual-based 'flexibility" should improve health and well-being, and especially satisfaction, whereas company-based flexibility" might interfere negatively, the effective consequences on health and well-being have still to be analysed properly.

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science; Volume 125; Issue 5 ... ozone concentrations in the east of Croatia using nonparametric Neural Network Models ... to develop, for the first time, accurate ozone prediction models, onefor urban ...

Full-time Workers Want to Work Fewer Hours, Part-time Workers Want to Work Longer Hours

OpenAIRE

Holst, Elke

2009-01-01

Since the reunification of Germany, average working times for men and women have followed different trends. There are various reasons for the difference. More and more women are gainfully employed; they engage in part-time and marginal employment, both of which are on the rise. The importance of full-time employment has declined. This accounts for most of the reduction in their average workweek, which decreased by 2.3 hours to 31.9 hours between 1993 and 2007. The full-time employment of men ...

Case history of a 94 MVA turbo-generator retired after 190.000 hours of service by defects revealed by boresonic in-service inspection

International Nuclear Information System (INIS)

Porro, F.; Santoro, M.

1990-01-01

The case-history of a turbogenerator manufactured by Ansaldo on 1957 and turned on operation on 1958 then retired after 30 years of operation, with a total of 190.000 hours of service, by defects revealed trough boresonic inspections, will be presented. The rotor was inspected a first time after 130.000 hours of service and was overbored in order to allow further service operations. After other 60.000 hours of service operation the rotor underwent to a new in-service inspection that showed an unacceptable condition. The rotor, retired from service, has been destined to destructive tests in order to verify non-destructive predictions

Radiation and Health: A Workshop for Science Educators

Science.gov (United States)

Krieger, Kenneth

2010-03-01

This workshop covers nuclear science and technology topics suitable for science teachers to use in grade 4-12 classes. Subjects included are Fundamentals of Radiation, Exposure to natural and man- made Radiation, Cellular Biology and Radiation Effects, Radioactive Waste Management, Health Physics and Radiation Physics, and Career possibilities in Nuclear Technology. Schools of participants will receive a working Geiger Counter. Workshop presenter is a TEA-approved CPE Provider. Limited to 20 participants - 3 hours - Cost 2.00

Increasing work-time influence: consequences for flexibility, variability, regularity and predictability.

Science.gov (United States)

Nabe-Nielsen, Kirsten; Garde, Anne Helene; Aust, Birgit; Diderichsen, Finn

2012-01-01

This quasi-experimental study investigated how an intervention aiming at increasing eldercare workers' influence on their working hours affected the flexibility, variability, regularity and predictability of the working hours. We used baseline (n = 296) and follow-up (n = 274) questionnaire data and interviews with intervention-group participants (n = 32). The work units in the intervention group designed their own intervention comprising either implementation of computerised self-scheduling (subgroup A), collection of information about the employees' work-time preferences by questionnaires (subgroup B), or discussion of working hours (subgroup C). Only computerised self-scheduling changed the working hours and the way they were planned. These changes implied more flexible but less regular working hours and an experience of less predictability and less continuity in the care of clients and in the co-operation with colleagues. In subgroup B and C, the participants ended up discussing the potential consequences of more work-time influence without actually implementing any changes. Employee work-time influence may buffer the adverse effects of shift work. However, our intervention study suggested that while increasing the individual flexibility, increasing work-time influence may also result in decreased regularity of the working hours and less continuity in the care of clients and co-operation with colleagues.

Clinical outcomes with olanzapine long-acting injection: impact of the 3-hour observation period on patient satisfaction and well-being

Directory of Open Access Journals (Sweden)

Anand E

2016-10-01

Full Text Available Ernie Anand,1 Lovisa Berggren,2 John Landry,3 Ágoston Tóth,4 Holland C Detke5 1Neuroscience Medical Affairs, Eli Lilly & Company Ltd, Windlesham, UK; 2Global Statistical Sciences, Lilly Deutschland GmbH, Bad Homburg, Germany; 3Global Statistical Sciences, Eli Lilly Canada Inc., Toronto, ON, Canada; 4Neuroscience, Lilly Hungary, Budapest, Hungary; 5Psychiatry and Pain Disorders, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA Background: The objective of the present analysis is to determine the impact of the 3-hour observation period for olanzapine long-acting injection (LAI on patient satisfaction and well-being by comparing data collected before and after its implementation. Methods: This is a post hoc analysis of patients treated with olanzapine LAI in 1 a 6-month fixed-dose randomized controlled trial and/or 2 a 6-year open-label safety study. This analysis was limited to patients with schizophrenia who were treated with olanzapine LAI consistent with the approved indication and dosing recommendations of the European Union Summary of Product Characteristics (N=966. Of the 966 patients, the analysis further focused only on those patients who received both 1 at least one injection before the implementation of the 3-hour observation period and 2 at least one injection after implementation of the 3-hour observation period (N=487. Patient satisfaction was assessed with the three-item Patient Satisfaction with Medication Questionnaire-Modified. Responses were averaged across all postbaseline visits occurring before (ie, without the implementation of the 3-hour observation period and across all postbaseline visits occurring after (ie, with the implementation of the 3-hour observation period. In addition, the rate of postinjection delirium/sedation syndrome events was calculated. Results: There was no meaningful change after implementation of the 3-hour observation period in satisfaction (before: mean [SD] =4.0 [1.02] and

Long work hours and obesity in Korean adult workers.

Science.gov (United States)

Jang, Tae-Won; Kim, Hyoung-Ryoul; Lee, Hye-Eun; Myong, Jun-Pyo; Koo, Jung-Wan

2014-01-01

The present study was designed to identify the association between work hours and obesity in Korean adult manual and nonmanual workers, and to determine whether there is a gender difference in this association. The study was conducted using Korean National Health and Nutrition Examination Survey data collected between 2007 and 2010. Individuals aged below 25 or over 64 years, pregnant women, part-time workers, soldiers, housewives and students were excluded. The total number of individuals included in the analysis was 8,889 (5,241 male and 3,648 female subjects). The outcome variable was obesity, defined as body mass index ≥25 kg/m(2). Variables considered in the model were age, education, income, marital status, alcohol drinking, smoking, daily energy intake, physical activity, sleep hours per day, the type of job, work hours, and work schedule. Work hours were categorized as 60 hours per week. In the multiple SURVEYLOGISTIC regression analyses, the adjusted odds ratio of obesity for long work hours (>60 hours per week) in male manual workers was 1.647 (95% confidence interval 1.262-2.151). Long work hours did not significantly increase the odds ratio for obesity in male nonmanual workers and female manual and nonmanual workers. More than 60 work hours per week increased the risk of obesity in Korean male manual workers. This result might be helpful in preventing obesity in Korean adult workers, especially male manual workers.

Factors influencing accruement of contact hours for nurses.

Science.gov (United States)

Kubsch, Sylvia; Henniges, Amy; Lorenzoni, Nancy; Eckardt, Sally; Oleniczak, Sandra

2003-01-01

A decline in attendance at continuing education (CE) in nursing activities was observed in a Midwest state where CE attendance is not required. The purpose of this research study was to identify the effect of attitude, extrinsic and intrinsic reinforcement, and deterrents on contact hour accrual. A convenience sample of 282 registered nurses was surveyed using a researcher-constructed instrument determined to be valid and reliable. Registered nurses earning 0 to 15 contact hours annually reported accruing fewer contact hours in 1999 than in an average year. Registered nurses who earned 16 to 45+ contact hours annually reported earning more contact hours in 1999 than in an average year. Intrinsic reinforcement was found to be a significant motivator (r [257] = .242; p Operant Conditioning Theory has use in explaining registered nurse attendance at CE activities. CE planners should consider placing more emphasis on intrinsic rather than extrinsic reinforcement to encourage staff to attend CE activities.

24-Hour Academic Libraries: Adjusting to Change

Science.gov (United States)

Bowman, Adam C.

2013-01-01

The purpose of this study was to explore the adaptive measures that academic libraries perform when implementing and operating a 24-hour schedule. Five in-depth interviews were conducted with current managerial-level librarians at 24-hour academic libraries. The exploratory interviews revealed similar measures for security, budgeting, employee…

Effect of accuracy of wind power prediction on power system operator

Science.gov (United States)

Schlueter, R. A.; Sigari, G.; Costi, T.

1985-01-01

This research project proposed a modified unit commitment that schedules connection and disconnection of generating units in response to load. A modified generation control is also proposed that controls steam units under automatic generation control, fast responding diesels, gas turbines and hydro units under a feedforward control, and wind turbine array output under a closed loop array control. This modified generation control and unit commitment require prediction of trend wind power variation one hour ahead and the prediction of error in this trend wind power prediction one half hour ahead. An improved meter for predicting trend wind speed variation is developed. Methods for accurately simulating the wind array power from a limited number of wind speed prediction records was developed. Finally, two methods for predicting the error in the trend wind power prediction were developed. This research provides a foundation for testing and evaluating the modified unit commitment and generation control that was developed to maintain operating reliability at a greatly reduced overall production cost for utilities with wind generation capacity.

Reliability of windstorm predictions in the ECMWF ensemble prediction system

Science.gov (United States)

Becker, Nico; Ulbrich, Uwe

2016-04-01

Windstorms caused by extratropical cyclones are one of the most dangerous natural hazards in the European region. Therefore, reliable predictions of such storm events are needed. Case studies have shown that ensemble prediction systems (EPS) are able to provide useful information about windstorms between two and five days prior to the event. In this work, ensemble predictions with the European Centre for Medium-Range Weather Forecasts (ECMWF) EPS are evaluated in a four year period. Within the 50 ensemble members, which are initialized every 12 hours and are run for 10 days, windstorms are identified and tracked in time and space. By using a clustering approach, different predictions of the same storm are identified in the different ensemble members and compared to reanalysis data. The occurrence probability of the predicted storms is estimated by fitting a bivariate normal distribution to the storm track positions. Our results show, for example, that predicted storm clusters with occurrence probabilities of more than 50% have a matching observed storm in 80% of all cases at a lead time of two days. The predicted occurrence probabilities are reliable up to 3 days lead time. At longer lead times the occurrence probabilities are overestimated by the EPS.

Ambulatory anesthesia and postoperative nausea and vomiting: predicting the probability

Directory of Open Access Journals (Sweden)

Hegarty AT

2016-08-01

Full Text Available Aoife T Hegarty,1 Muiris A Buckley,1 Conan L McCaul1–3 1Department of Anaesthesia, The Rotunda Hospital, 2Mater Misericordiae University Hospital, 3School of Medicine and Medical Science, University College Dublin, Dublin, Ireland Abstract: Nausea and vomiting are distinctly unpleasant symptoms that may occur after surgery and anesthesia, and high priority is given to their prevention by patients. Research in this area is plentiful and has focused on event prediction and pharmacological prophylaxis but despite this, postoperative nausea and vomiting (PONV typically occurs in 20%–30% of patients in contemporary practice. Prediction of postoperative and postdischarge nausea and vomiting is particularly important in the ambulatory surgical population as these symptoms may occur following discharge from hospital and continue for up to one week when access to antiemetic therapies is limited. Many of the existing predictive scoring systems are based on data from inpatient populations and limited to the first 24 hours after surgery. Scoring systems based on data from ambulatory surgical populations to predict PONV are only moderately good. The best-performing systems in ambulatory patients are those of Sinclair and Sarin with an area under the receiver operating characteristic curve of 0.78 and 0.74, respectively, but are limited by the short duration of follow-up and a greater emphasis on nausea than vomiting. Given that the ability to predict both PONV and postdischarge nausea and vomiting is clearly limited, emphasis has been placed on prophylactic strategies that incorporate antiemetic medication, intravenous hydration, and nonnarcotic analgesia. PONV has been reduced to <10% in institutions using multimodal approaches. Scoring systems may facilitate “risk tailoring” in which patient risk profile is used as a stratification method for pharmacointervention. Keywords: postoperative nausea and vomiting, prediction, antiemetics, anesthesia

Applied predictive analytics principles and techniques for the professional data analyst

CERN Document Server

Abbott, Dean

2014-01-01

Learn the art and science of predictive analytics - techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive mode

Predicting emergency department volume using forecasting methods to create a "surge response" for noncrisis events.

Science.gov (United States)

Chase, Valerie J; Cohn, Amy E M; Peterson, Timothy A; Lavieri, Mariel S

2012-05-01

This study investigated whether emergency department (ED) variables could be used in mathematical models to predict a future surge in ED volume based on recent levels of use of physician capacity. The models may be used to guide decisions related to on-call staffing in non-crisis-related surges of patient volume. A retrospective analysis was conducted using information spanning July 2009 through June 2010 from a large urban teaching hospital with a Level I trauma center. A comparison of significance was used to assess the impact of multiple patient-specific variables on the state of the ED. Physician capacity was modeled based on historical physician treatment capacity and productivity. Binary logistic regression analysis was used to determine the probability that the available physician capacity would be sufficient to treat all patients forecasted to arrive in the next time period. The prediction horizons used were 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, 8 hours, and 12 hours. Five consecutive months of patient data from July 2010 through November 2010, similar to the data used to generate the models, was used to validate the models. Positive predictive values, Type I and Type II errors, and real-time accuracy in predicting noncrisis surge events were used to evaluate the forecast accuracy of the models. The ratio of new patients requiring treatment over total physician capacity (termed the care utilization ratio [CUR]) was deemed a robust predictor of the state of the ED (with a CUR greater than 1 indicating that the physician capacity would not be sufficient to treat all patients forecasted to arrive). Prediction intervals of 30 minutes, 8 hours, and 12 hours performed best of all models analyzed, with deviances of 1.000, 0.951, and 0.864, respectively. A 95% significance was used to validate the models against the July 2010 through November 2010 data set. Positive predictive values ranged from 0.738 to 0.872, true positives ranged from 74% to 94%, and

Validation of APACHE II scoring system at 24 hours after admission as a prognostic tool in urosepsis: A prospective observational study

Directory of Open Access Journals (Sweden)

Sundaramoorthy VijayGanapathy

2017-11-01

Full Text Available Purpose: Urosepsis implies clinically evident severe infection of urinary tract with features of systemic inflammatory response syndrome (SIRS. We validate the role of a single Acute Physiology and Chronic Health Evaluation II (APACHE II score at 24 hours after admission in predicting mortality in urosepsis. Materials and Methods: A prospective observational study was done in 178 patients admitted with urosepsis in the Department of Urology, in a tertiary care institute from January 2015 to August 2016. Patients >18 years diagnosed as urosepsis using SIRS criteria with positive urine or blood culture for bacteria were included. At 24 hours after admission to intensive care unit, APACHE II score was calculated using 12 physiological variables, age and chronic health. Results: Mean±standard deviation (SD APACHE II score was 26.03±7.03. It was 24.31±6.48 in survivors and 32.39±5.09 in those expired (p<0.001. Among patients undergoing surgery, mean±SD score was higher (30.74±4.85 than among survivors (24.30±6.54 (p<0.001. Receiver operating characteristic (ROC analysis revealed area under curve (AUC of 0.825 with cutoff 25.5 being 94.7% sensitive and 56.4% specific to predict mortality. Mean±SD score in those undergoing surgery was 25.22±6.70 and was lesser than those who did not undergo surgery (28.44±7.49 (p=0.007. ROC analysis revealed AUC of 0.760 with cutoff 25.5 being 94.7% sensitive and 45.6% specific to predict mortality even after surgery. Conclusions: A single APACHE II score assessed at 24 hours after admission was able to predict morbidity, mortality, need for surgical intervention, length of hospitalization, treatment success and outcome in urosepsis patients.

Validation of APACHE II scoring system at 24 hours after admission as a prognostic tool in urosepsis: A prospective observational study.

Science.gov (United States)

VijayGanapathy, Sundaramoorthy; Karthikeyan, VIlvapathy Senguttuvan; Sreenivas, Jayaram; Mallya, Ashwin; Keshavamurthy, Ramaiah

2017-11-01

Urosepsis implies clinically evident severe infection of urinary tract with features of systemic inflammatory response syndrome (SIRS). We validate the role of a single Acute Physiology and Chronic Health Evaluation II (APACHE II) score at 24 hours after admission in predicting mortality in urosepsis. A prospective observational study was done in 178 patients admitted with urosepsis in the Department of Urology, in a tertiary care institute from January 2015 to August 2016. Patients >18 years diagnosed as urosepsis using SIRS criteria with positive urine or blood culture for bacteria were included. At 24 hours after admission to intensive care unit, APACHE II score was calculated using 12 physiological variables, age and chronic health. Mean±standard deviation (SD) APACHE II score was 26.03±7.03. It was 24.31±6.48 in survivors and 32.39±5.09 in those expired (p<0.001). Among patients undergoing surgery, mean±SD score was higher (30.74±4.85) than among survivors (24.30±6.54) (p<0.001). Receiver operating characteristic (ROC) analysis revealed area under curve (AUC) of 0.825 with cutoff 25.5 being 94.7% sensitive and 56.4% specific to predict mortality. Mean±SD score in those undergoing surgery was 25.22±6.70 and was lesser than those who did not undergo surgery (28.44±7.49) (p=0.007). ROC analysis revealed AUC of 0.760 with cutoff 25.5 being 94.7% sensitive and 45.6% specific to predict mortality even after surgery. A single APACHE II score assessed at 24 hours after admission was able to predict morbidity, mortality, need for surgical intervention, length of hospitalization, treatment success and outcome in urosepsis patients.

“Friday off”: Reducing Working Hours in Europe

Directory of Open Access Journals (Sweden)

Jack Rossiter

2013-04-01

Full Text Available This article explores the pros and cons for reducing working hours in Europe. To arrive to an informed judgment we review critically the theoretical and empirical literature, mostly from economics, concerning the relation between working hours on the one hand, and productivity, employment, quality of life, and the environment, on the other. We adopt a binary economics distinction between capital and labor productiveness, and are concerned with how working hours may be reduced without harming the earning capacity of workers. There are reasons to believe that reducing working hours may absorb some unemployment, especially in the short-run, even if less than what is advocated by proponents of the proposal. Further, there may well be strong benefits for the quality of peoples’ lives. Environmental benefits are likely but depend crucially on complementary policies or social conditions that will ensure that the time liberated will not be directed to resource-intensive or environmentally harmful consumption. It is questionable whether reduced working hours are sustainable in the long-term given resource limits and climate change. We conclude that while the results of reducing working hours are uncertain, this may be a risk worth taking, especially as an interim measure that may relieve unemployment while other necessary structural changes are instituted.

The Association between Long Working Hours and Self-Rated Health

Science.gov (United States)

2014-01-01

Objectives This study was conducted to determine the number of hours worked per week by full-time wage workers by using the data of the Korean Labor and Income Panel Study (KLIPS), which represents the domestic urban area household, and to determine the association between weekly working hours and the level of self-rated health. Methods We used data from the 11th KLIPS conducted in 2008. The subjects of this study were 3,699 full-time wage workers between the ages of 25 and 64 years. The association between weekly working hours and self-rated health was analyzed considering socio-demographic characteristics, work environment, and health-related behaviors. Results Among the workers, 29.7% worked less than 40 hours per week; 39.7%, more than 40 to 52 hours; 19.7%, more than 52 to 60 hours; and 10.9%, more than 60 hours per week. After controlling for socio-demographic variables, work environment-related variables, and health-related behavior variables, the odds ratio (OR) for poor self-rated health for the group working more than 40 hours and up to 52 hours was calculated to be 1.06 (95% confidence interval (CI), 0.89-1.27) when the group working less than 40 hours per week was considered the reference. The OR for the group working more than 60 hours was 1.42 (95% CI, 1.10-1.83) and that for the group working more than 52 hours and up to 60 hours was 1.07 (95% CI, 0.86-1.33). After stratification by gender and tenure, the OR of the female workers group and that of the group with a tenure of more than 1 year were found to be significantly higher than those of the other groups. Conclusions This study showed that workers working more than 60 hours per week have a significantly higher risk of poor self-rated health than workers working less than 40 hours per week. This effect was more obvious for the female workers group and the group with a tenure of more than 1 year. In the future, longitudinal studies may be needed to determine the association between long working

The Association between Long Working Hours and Self-Rated Health.

Science.gov (United States)

Song, Jun-Taek; Lee, Goeun; Kwon, Jongho; Park, Jung-Woo; Choi, Hyunrim; Lim, Sinye

2014-01-20

This study was conducted to determine the number of hours worked per week by full-time wage workers by using the data of the Korean Labor and Income Panel Study (KLIPS), which represents the domestic urban area household, and to determine the association between weekly working hours and the level of self-rated health. We used data from the 11th KLIPS conducted in 2008. The subjects of this study were 3,699 full-time wage workers between the ages of 25 and 64 years. The association between weekly working hours and self-rated health was analyzed considering socio-demographic characteristics, work environment, and health-related behaviors. Among the workers, 29.7% worked less than 40 hours per week; 39.7%, more than 40 to 52 hours; 19.7%, more than 52 to 60 hours; and 10.9%, more than 60 hours per week. After controlling for socio-demographic variables, work environment-related variables, and health-related behavior variables, the odds ratio (OR) for poor self-rated health for the group working more than 40 hours and up to 52 hours was calculated to be 1.06 (95% confidence interval (CI), 0.89-1.27) when the group working less than 40 hours per week was considered the reference. The OR for the group working more than 60 hours was 1.42 (95% CI, 1.10-1.83) and that for the group working more than 52 hours and up to 60 hours was 1.07 (95% CI, 0.86-1.33). After stratification by gender and tenure, the OR of the female workers group and that of the group with a tenure of more than 1 year were found to be significantly higher than those of the other groups. This study showed that workers working more than 60 hours per week have a significantly higher risk of poor self-rated health than workers working less than 40 hours per week. This effect was more obvious for the female workers group and the group with a tenure of more than 1 year. In the future, longitudinal studies may be needed to determine the association between long working hours and various health effects in Korean

Gender Attributions of Science and Academic Attributes: AN Examination of Undergraduate Science, Mathematics, and Technology Majors

Science.gov (United States)

Hughes, W. Jay

Questionnaire data (n = 297) examined the relationship between gender attributions of science and academic attributes for undergraduate science, mathematics, and technology majors from the perspective of gender schema theory. Female and male respondents perceived that (a) the role of scientist was sex typed as masculine, (b) their majors were more valuable for members of their gender than for those of the opposite gender, (c) their majors were more valuable for themselves than for members of their gender in general. Androgynous attributions of scientists and the value of one's major for women predicted value for oneself, major confidence, and career confidence, and masculine attributions of scientists predicted class participation for female respondents. Feminine attributions of scientists predicted graduate school intent; value for women predicted major confidence and subjective achievement, and value for men predicted value for oneself, course confidence, and career confidence for male respondents.

Predictability of Mobile Phone Associations

DEFF Research Database (Denmark)

Jensen, Bjørn Sand; Larsen, Jan; Hansen, Lars Kai

2010-01-01

Prediction and understanding of human behavior is of high importance in many modern applications and research areas ranging from context-aware services, wireless resource allocation to social sciences. In this study we collect a novel dataset using standard mobile phones and analyze how the predi...... representation, and general behavior. This is of vital interest in the development of context-aware services which rely on forecasting based on mobile phone sensors.......Prediction and understanding of human behavior is of high importance in many modern applications and research areas ranging from context-aware services, wireless resource allocation to social sciences. In this study we collect a novel dataset using standard mobile phones and analyze how...... the predictability of mobile sensors, acting as proxies for humans, change with time scale and sensor type such as GSM and WLAN. Applying recent information theoretic methods, it is demonstrated that an upper bound on predictability is relatively high for all sensors given the complete history (typically above 90...

“Friday off”: Reducing Working Hours in Europe

OpenAIRE

Kallis, Giorgos; Kalush, Michael; O.'Flynn, Hugh; Rossiter, Jack; Ashford, Nicholas A.

2013-01-01

This article explores the pros and cons for reducing working hours in Europe. To arrive to an informed judgment we review critically the theoretical and empirical literature, mostly from economics, concerning the relation between working hours on the one hand, and productivity, employment, quality of life, and the environment, on the other. We adopt a binary economics distinction between capital and labor productiveness, and are concerned with how working hours may be reduced without harming ...

6.6-hour inhalation of ozone concentrations from 60 to 87 parts per billion in healthy humans.

Science.gov (United States)

Schelegle, Edward S; Morales, Christopher A; Walby, William F; Marion, Susan; Allen, Roblee P

2009-08-01

Identification of the minimal ozone (O(3)) concentration and/or dose that induces measurable lung function decrements in humans is considered in the risk assessment leading to establishing an appropriate National Ambient Air Quality Standard for O(3) that protects public health. To identify and/or predict the minimal mean O(3) concentration that produces a decrement in FEV(1) and symptoms in healthy individuals completing 6.6-hour exposure protocols. Pulmonary function and subjective symptoms were measured in 31 healthy adults (18-25 yr, male and female, nonsmokers) who completed five 6.6-hour chamber exposures: filtered air and four variable hourly patterns with mean O(3) concentrations of 60, 70, 80, and 87 parts per billion (ppb). Compared with filtered air, statistically significant decrements in FEV(1) and increases in total subjective symptoms scores (P < 0.05) were measured after exposure to mean concentrations of 70, 80, and 87 ppb O(3). The mean percent change in FEV(1) (+/-standard error) at the end of each protocol was 0.80 +/- 0.90, -2.72 +/- 1.48, -5.34 +/- 1.42, -7.02 +/- 1.60, and -11.42 +/- 2.20% for exposure to filtered air and 60, 70, 80, and 87 ppb O(3), respectively. Inhalation of 70 ppb O(3) for 6.6 hours, a concentration below the current 8-hour National Ambient Air Quality Standard of 75 ppb, is sufficient to induce statistically significant decrements in FEV(1) in healthy young adults.

Nursing work hours: individual needs versus working conditions.

Science.gov (United States)

Silva, Amanda Aparecida; Rotenberg, Lúcia; Fischer, Frida Marina

2011-12-01

To assess factors associated with professional and total hours of work (work + home) among nursing staff. Cross-sectional study conducted in a university hospital in the city of São Paulo, southeastern Brazil, between 2004 and 2005. A total of 696 workers (nurses, nurse technicians and aids), mostly women (87.8%) working day and/or night shifts, participated in the study. A self-administered questionnaire was used to collected information on demographic characteristics, and working and life conditions. Translated and adapted into Portuguese versions of the Job Stress Scale, Effort-reward imbalance, Short-Form-Health-related quality of life and the Work Ability Index were also administered. Logistic regression models were used for data analysis. Sole breadwinner, working night shifts and effort-reward imbalance were the variables associated with both professional (OR = 3.38, OR = 10.43, OR = 2.07, respectively) and total hours of work (OR = 1.57, OR = 3.37, OR = 2.75, respectively). There was no significant association between the variables related to hours of work and low Work Ability Index. Inadequate rest at home was statistically associated with professional (OR = 2.47) and total hours of work (OR = 1.48). Inadequate leisure time was significantly associated with professional hours of work (OR = 1.58) and barely associated with total hours of work (OR = 1.43). The sole breadwinner, working night shifts and effort-reward imbalance are variables that need to be further investigated in studies on work hours among nursing staff. These studies should explore workers' income and the relationship between effort and reward, taking into consideration gender issues.

Hourly temporal distribution of wind

Science.gov (United States)

Deligiannis, Ilias; Dimitriadis, Panayiotis; Koutsoyiannis, Demetris

2016-04-01

The wind process is essential for hydrometeorology and additionally, is one of the basic renewable energy resources. Most stochastic forecast models are limited up to daily scales disregarding the hourly scale which is significant for renewable energy management. Here, we analyze hourly wind timeseries giving emphasis on the temporal distribution of wind within the day. We finally present a periodic model based on statistical as well as hydrometeorological reasoning that shows good agreement with data. Acknowledgement: This research is conducted within the frame of the undergraduate course "Stochastic Methods in Water Resources" of the National Technical University of Athens (NTUA). The School of Civil Engineering of NTUA provided moral support for the participation of the students in the Assembly.

39 CFR 959.3 - Office, business hours.

Science.gov (United States)

2010-07-01

... 39 Postal Service 1 2010-07-01 2010-07-01 false Office, business hours. 959.3 Section 959.3 Postal Service UNITED STATES POSTAL SERVICE PROCEDURES RULES OF PRACTICE IN PROCEEDINGS RELATIVE TO THE PRIVATE EXPRESS STATUTES § 959.3 Office, business hours. The offices of the officials mentioned in these rules are...

39 CFR 952.4 - Office business hours.

Science.gov (United States)

2010-07-01

... 39 Postal Service 1 2010-07-01 2010-07-01 false Office business hours. 952.4 Section 952.4 Postal Service UNITED STATES POSTAL SERVICE PROCEDURES RULES OF PRACTICE IN PROCEEDINGS RELATIVE TO FALSE REPRESENTATION AND LOTTERY ORDERS § 952.4 Office business hours. The offices of the officials mentioned in these...

39 CFR 954.4 - Office business hours.

Science.gov (United States)

2010-07-01

... 39 Postal Service 1 2010-07-01 2010-07-01 false Office business hours. 954.4 Section 954.4 Postal Service UNITED STATES POSTAL SERVICE PROCEDURES RULES OF PRACTICE IN PROCEEDINGS RELATIVE TO THE DENIAL, SUSPENSION, OR REVOCATION OF PERIODICALS MAIL PRIVILEGES § 954.4 Office business hours. The offices of the...

MODELS OF HOURLY DRY BULB TEMPERATURE AND ...

African Journals Online (AJOL)

Hourly meteorological data of both dry bulb temperature and relative humidity for 18 locations in Nigeria for the period 1995 to 2009 were analysed to obtain the mean monthly average and monthly hourly average of each of the two meteorological variables for each month for each location. The difference between the ...

17 CFR 12.3 - Business address; hours.

Science.gov (United States)

2010-04-01

... REPARATIONS General Information and Preliminary Consideration of Pleadings § 12.3 Business address; hours. The... 17 Commodity and Securities Exchanges 1 2010-04-01 2010-04-01 false Business address; hours. 12.3..., DC 20581. It is open each day, except Saturdays, Sundays, and legal public holidays, from 8:15 a.m...

Prediction information - GRIPDB | LSDB Archive [Life Science Database Archive metadata

Lifescience Database Archive (English)

Full Text Available switchLanguage; BLAST Search Image Search Home About Archive Update History Data List Contact us GRI...a.nbdc01665-004 Description of data contents Predicted GPCR interaction regions Data file File name: gripdb_...predicted_info.zip File URL: ftp://ftp.biosciencedbc.jp/archive/gripdb/LATEST/gripdb_predicted_info.zip File... size: 219 KB Simple search URL http://togodb.biosciencedbc.jp/togodb/view/gripdb...entries Data item Description ID Prediction information ID GRIP ID GRIP ID related wigh the prediction Predi

Research methods from social science can contribute much to the health sciences.

Science.gov (United States)

Wensing, Michel

2008-06-01

Research methods from social science, such as social network analysis, random coefficient modeling, and advanced measurement techniques, can contribute much to the health sciences. There is, however, a slow rate of transmission of social science methodology into the health sciences. This paper identifies some of the barriers for adoption and proposes ideas for the future. Commentary. Contributions of social science to the health sciences are not always recognized as such. It may help if the professional profile of social science in the health sciences would be higher and if its focus would be more on making useful predictions. Clinical epidemiologists may assume that their discipline includes all relevant methods and that social science is largely based on qualitative research. These perceptions need to be challenged in order to widen the scope of clinical epidemiology and include relevant methods from other sciences. New methods help to ask new research questions and to provide better to old questions. This paper has sketched challenges for both social science researchers and clinical epidemiologists.

Proceedings of computational methods in materials science

International Nuclear Information System (INIS)

Mark, J.E. Glicksman, M.E.; Marsh, S.P.

1992-01-01

The Symposium on which this volume is based was conceived as a timely expression of some of the fast-paced developments occurring throughout materials science and engineering. It focuses particularly on those involving modern computational methods applied to model and predict the response of materials under a diverse range of physico-chemical conditions. The current easy access of many materials scientists in industry, government laboratories, and academe to high-performance computers has opened many new vistas for predicting the behavior of complex materials under realistic conditions. Some have even argued that modern computational methods in materials science and engineering are literally redefining the bounds of our knowledge from which we predict structure-property relationships, perhaps forever changing the historically descriptive character of the science and much of the engineering

Adhesion science

CERN Document Server

Comyn, John

1997-01-01

The use of adhesives is widespread and growing, and there are few modern artefacts, from the simple cereal packet, to the jumbo jet, that are without this means of joining. Adhesion Science provides an illuminating account of the science underlying the use of adhesives, a branch of chemical technology which is fundamental to the science of coatings and composite materials and to the performance of all types of bonded structures. This book guides the reader through the essential basic polymer science, and the chemistry of adhesives in use at present. It discusses surface preparation for adhesive bonding, and the use of primers and coupling agents. There is a detailed chapter on contact angles and what can be predicted from them. A simple guide on stress distribution joints and how this relates to testing is included. It also examines the interaction of adhesives and the environment, including an analysis of the resistance of joints to water, oxygen and ultra-violet light. Adhesion Science provides a comprehens...

Effect of a 12-hour/day shift on performance

International Nuclear Information System (INIS)

Lewis, P.M.; Swaim, D.J.

1988-06-01

The operating crews at the Fast Flux Facility near Richland, Washington, changed their rotating shift schedule from an 8- to 12- hour/day work schedule. The primary reason for the change was to reduce the attrition of operators by increasing their job satisfaction. Eighty-four percent of the operators favored the change. Plant performance and safety were not adversely affected. A statistical analysis of 53 operator-related, off-normal events in 28 months concluded that there was no significant difference in either the number or the severity of off-normal events on the 12-hour shift. A statistical analysis of 200,000 log entries concluded that the error rate in completing logs actually declined by 25 percent on the 12-hour shift. Alertness, which was measured using computerized tests of mathematics and logical reasoning, reach a nadir on the first night shift for the 8- and 12-hour schedules alike, which indicates that the primary cause of fatigue was sleep disruption, not cumulative hours of work. All supervisors and 52 percent of the operators believe their crews work more effectively on the 12-hour shift; only 12 percent of the operators believe that their crews work less effectively. The evaluation indicated that the 12-hour shift scheduled is a reasonable alternative to an 8-hour schedule at this facility. 2 refs

Predictors of cultural capital on science academic achievement at the 8th grade level

Science.gov (United States)

Misner, Johnathan Scott

The purpose of the study was to determine if students' cultural capital is a significant predictor of 8th grade science achievement test scores in urban locales. Cultural capital refers to the knowledge used and gained by the dominant class, which allows social and economic mobility. Cultural capital variables include magazines at home and parental education level. Other variables analyzed include socioeconomic status (SES), gender, and English language learners (ELL). This non-experimental study analyzed the results of the 2011 Eighth Grade Science National Assessment of Educational Progress (NAEP). The researcher analyzed the data using a multivariate stepwise regression analysis. The researcher concluded that the addition of cultural capital factors significantly increased the predictive power of the model where magazines in home, gender, student classified as ELL, parental education level, and SES were the independent variables and science achievement was the dependent variable. For alpha=0.05, the overall test for the model produced a R2 value of 0.232; therefore the model predicted 23.2% of variance in science achievement results. Other major findings include: higher measures of home resources predicted higher 2011 NAEP eighth grade science achievement; males were predicted to have higher 2011 NAEP 8 th grade science achievement; classified ELL students were predicted to score lower on the NAEP eight grade science achievement; higher parent education predicted higher NAEP eighth grade science achievement; lower measures of SES predicted lower 2011 NAEP eighth grade science achievement. This study contributed to the research in this field by identifying cultural capital factors that have been found to have statistical significance on predicting eighth grade science achievement results, which can lead to strategies to help improve science academic achievement among underserved populations.

Perspectives on the working hours of Australian junior doctors.

Science.gov (United States)

Glasgow, Nicholas J; Bonning, Michael; Mitchell, Rob

2014-01-01

The working hours of junior doctors have been a focus of discussion in Australia since the mid-1990s. Several national organizations, including the Australian Medical Association (AMA), have been prominent in advancing this agenda and have collected data (most of which is self-reported) on the working hours of junior doctors over the last 15 years. Overall, the available data indicate that working hours have fallen in a step-wise fashion, and AMA data suggest that the proportion of doctors at high risk of fatigue may be declining. It is likely that these changes reflect significant growth in the number of medical graduates, more detailed specifications regarding working hours in industrial agreements, and a greater focus on achieving a healthy work-life balance. It is notable that reductions in junior doctors' working hours have occurred despite the absence of a national regulatory framework for working hours. Informed by a growing international literature on working hours and their relation to patient and practitioner safety, accreditation bodies such as the Australian Commission on Safety and Quality in Health Care (ACSQHC) and the Australian Medical Council (AMC) are adjusting their standards to encourage improved work and training practices.

Science for Development: Failure in Ghana

African Journals Online (AJOL)

kofimereku

Next to follow was the Ghana Atomic Energy Commission, established at .... notion of science education and the predictions made by the model of science ..... banks, production and consumption armies, serve as a god for those who have.

No Correlation Between Work-Hours and Operative Volumes

DEFF Research Database (Denmark)

Kjærgaard, Jane; Sillesen, Martin; Beier-Holgersen, Randi

2016-01-01

OBJECTIVE: Since 2003, United States residents have been limited to an 80-hour workweek. This has prompted concerns of reduced educational quality, especially inadequate operating exposure. In contrast, the Danish surgical specialty-training program mandates a cap on working hours of 37 per week....... We hypothesize that there is no direct correlation between work-hours and operative volume achieved during surgical residency. To test the hypothesis, we compare Danish and US operative volumes achieved during surgical residency training. DESIGN: Retrospective comparative study. PARTICIPANTS...... find no difference in overall surgical volumes between Danes and US residents during their surgical training. When time in training was accounted for, differences between weekly surgical volumes achieved were minor, indicating a lack of direct correlation between weekly work-hours and operative volumes...

Working hours, work-life conflict and health in precarious and "permanent" employment

Directory of Open Access Journals (Sweden)

Philip Bohle

2004-12-01

Full Text Available OBJECTIVE: The expansion of precarious employment in OECD countries has been widely associated with negative health and safety effects. Although many shiftworkers are precariously employed, shiftwork research has concentrated on full-time workers in continuing employment. This paper examines the impact of precarious employment on working hours, work-life conflict and health by comparing casual employees to full-time, "permanent" employees working in the same occupations and workplaces. METHODS: Thirty-nine convergent interviews were conducted in two five-star hotels. The participants included 26 full-time and 13 casual (temporary employees. They ranged in age from 19 to 61 years and included 17 females and 22 males. Working hours ranged from zero to 73 hours per week. RESULTS: Marked differences emerged between the reports of casual and full-time employees about working hours, work-life conflict and health. Casuals were more likely to work highly irregular hours over which they had little control. Their daily and weekly working hours ranged from very long to very short according to organisational requirements. Long working hours, combined with low predictability and control, produced greater disruption to family and social lives and poorer work-life balance for casuals. Uncoordinated hours across multiple jobs exacerbated these problems in some cases. Health-related issues reported to arise from work-life conflict included sleep disturbance, fatigue and disrupted exercise and dietary regimes. CONCLUSIONS:This study identified significant disadvantages of casual employment. In the same hotels, and doing largely the same jobs, casual employees had less desirable and predictable work schedules, greater work-life conflict and more associated health complaints than "permanent" workers.OBJETIVOS: O crescimento do número de empregos precários em países da OECD está largamente associado a efeitos negativos à saúde e segurança. Embora muitos

Prediction of inflow into the D-holes at the Stripa mine

International Nuclear Information System (INIS)

Geier, J.; Dershowitz, W.; Sharp, G.

1990-04-01

Groundwater flow through three-dimensional networks of discrete fractures was modeled to predict the flux into a set of parallel boreholes, as part of the Site Characterization and Validation Project conducted during Phase 3 of the Stripa Project. Influx was predicted from fracture statistics derived from geological, geophysical, and hydrological site characterization data. Individual fractures were treated as probabilistic (random) features, whereas the major fracture zones inferred from geophysics were treated as deterministically located zones of relatively high fracture intensity. The flow predictions were produced by generating multiple, Monte Carlo realizations of the fracture population, and by solving the flow equation for each population using the finite element method. The predictions thus produced are presented in the form of probability distributions for flux. The most likely value for total influx to the boreholes was predicted to be 90 liters/hour, with a 90 % confidence interval extending from 30 to 5700 liters/hour. (auhor) figs., tabs., 21 refs

Prediction of inflow into the D-Holes at the Stripa Mine

International Nuclear Information System (INIS)

Geier, J.; Dershowitz, W.; Sharp, G.

1990-04-01

Groundwater flow through three-dimensional networks of discrete fractures was modeled to predict the flux into a set of parallel boreholes, as part of the Site Characterization and Validation Project conducted during Phase 3 of the Stripa Project. Influx was predicted from fracture statistics derived from geological, geophysical, and hydrological site characterization data. Individual fractures were treated as probabilistic (random) features, whereas the major fracture zones inferred from geophysics were treated as deterministically located zones of relatively high fracture intensity. The flow predictions were produced by generating multiple, Monte Carlo realizations of the fracture population, and by solving the flow equation for each population using the finite element method. The predictions thus produced are presented in the form of probability distributions for flux. The most likely value for total influx to the boreholes was predicted to be 90 liter/hour, with a 90% confidence interval extending from 30 to 5700 liter/hour. (authors)

The eighty-hour workweek: surgical attendings' perspectives.

Science.gov (United States)

Griner, Devan; Menon, Rema P; Kotwall, Cyrus A; Clancy, Thomas V; Hope, William W

2010-01-01

The year 2008 was a sentinel year in resident education; this was the first graduating general surgery class trained entirely under the 80-hour workweek. The purpose of this study was to evaluate attending surgeon perceptions of surgical resident attitudes and performance before and after duty-hour restrictions. An electronic survey was sent to all surgical teaching institutions in North Carolina. Both surgeon and hospital characteristics were documented. The survey consisted of questions designed to assess residents' attitudes/performance before and after the implementation of the work-hour restriction. In all, 77 surveys were returned (33% response rate). The survey demonstrated that 92% of educators who responded to the survey recognized a difference between the restricted residents (RRs) and the nonrestricted residents (NRRs), and most respondents (67%) attributed this to both the work-hour restrictions and the work ethic of current residents. Most attending surgeons reported no difference between the RRs and the NRRs in most categories; however, they identified a negative change in the areas of work ethic, technical skills development, decision-making/critical-thinking skills, and patient ownership among the RR group. Most surgeons expressed less trust (55%) with patient care and less confidence (68%) in residents' ability to operate independently in the RR group. Eighty-nine percent indicated that additional decreases in work hours would continue to hamper the mission of timely and comprehensive resident education. The perception of surgical educators was that RRs are clearly different from the NRRs and that the primary difference is in work ethic and duty-hour restrictions. Although similar in most attributes, RRs are perceived as having a lower baseline work ethic and a less developed technical skill set, decision-making ability, and sense of patient ownership. Subsequent study is needed to evaluate these concerns. Copyright 2010 Association of Program

Longer Opening Hours for the Library

CERN Multimedia

2001-01-01

The scientific information service. The CERN library is open 24 hours a day, 365 days a year. So how, you might be wondering, can they improve on that? The answer is in the detail. Although you can already use the library whenever you want, items can only be checked out when the front desk is staffed. A decision taken last week by the Scientific Information Policy Board now means that there will someone at the desk through out CERN's official working hours, with an extra 90 minutes at the end of the day so that people can check out material on their way home. In other words, the library will be open from 8:30 to 19:00, Monday to Friday. The library continues, of course, to be open 24 hours a day, all year round, and services provided via the digital library remain at your disposal day and night: http://library.cern.ch

Trends in Basic Sciences Education in Dental Schools, 1999-2016.

Science.gov (United States)

Lantz, Marilyn S; Shuler, Charles F

2017-08-01

The purpose of this study was to examine data published over the past two decades to identify trends in the basic sciences curriculum in dental education, provide an analysis of those trends, and compare them with trends in the basic sciences curriculum in medical education. Data published from the American Dental Association (ADA) Surveys of Dental Education, American Dental Education Association (ADEA) Surveys of Dental School Seniors, and two additional surveys were examined. In large part, survey data collected focused on the structure, content, and instructional strategies used in dental education: what was taught and how. Great variability was noted in the total clock hours of instruction and the clock hours of basic sciences instruction reported by dental schools. Moreover, the participation of medical schools in the basic sciences education of dental students appears to have decreased dramatically over the past decade. Although modest progress has been made in implementing some of the curriculum changes recommended in the 1995 Institute of Medicine report such as integrated basic and clinical sciences curricula, adoption of active learning methods, and closer engagement with medical and other health professions education programs, educational effectiveness studies needed to generate data to support evidence-based approaches to curriculum reform are lacking. Overall, trends in the basic sciences curriculum in medical education were similar to those for dental education. Potential drivers of curriculum change were identified, as was recent work in other fields that should encourage reconsideration of dentistry's approach to basic sciences education. This article was written as part of the project "Advancing Dental Education in the 21st Century."

Physics Guided Data Science in the Earth Sciences

Science.gov (United States)

Ganguly, A. R.

2017-12-01

Even as the geosciences are becoming relatively data-rich owing to remote sensing and archived model simulations, established physical understanding and process knowledge cannot be ignored. The ability to leverage both physics and data-intensive sciences may lead to new discoveries and predictive insights. A principled approach to physics guided data science, where physics informs feature selection, output constraints, and even the architecture of the learning models, is motivated. The possibility of hybrid physics and data science models at the level of component processes is discussed. The challenges and opportunities, as well as the relations to other approaches such as data assimilation - which also bring physics and data together - are discussed. Case studies are presented in climate, hydrology and meteorology.

29 CFR 778.318 - Productive and nonproductive hours of work.

Science.gov (United States)

2010-07-01

... Special Problems Effect of Failure to Count Or Pay for Certain Working Hours § 778.318 Productive and... Act; such nonproductive working hours must be counted and paid for. (b) Compensation payable for... which such nonproductive hours are properly counted as working time but no special hourly rate is...

Early EEG for outcome prediction of postanoxic coma: prospective cohort study with cost-minimization analysis.

Science.gov (United States)

Sondag, Lotte; Ruijter, Barry J; Tjepkema-Cloostermans, Marleen C; Beishuizen, Albertus; Bosch, Frank H; van Til, Janine A; van Putten, Michel J A M; Hofmeijer, Jeannette

2017-05-15

We recently showed that electroencephalography (EEG) patterns within the first 24 hours robustly contribute to multimodal prediction of poor or good neurological outcome of comatose patients after cardiac arrest. Here, we confirm these results and present a cost-minimization analysis. Early prognosis contributes to communication between doctors and family, and may prevent inappropriate treatment. A prospective cohort study including 430 subsequent comatose patients after cardiac arrest was conducted at intensive care units of two teaching hospitals. Continuous EEG was started within 12 hours after cardiac arrest and continued up to 3 days. EEG patterns were visually classified as unfavorable (isoelectric, low-voltage, or burst suppression with identical bursts) or favorable (continuous patterns) at 12 and 24 hours after cardiac arrest. Outcome at 6 months was classified as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4, or 5). Predictive values of EEG measures and cost-consequences from a hospital perspective were investigated, assuming EEG-based decision- making about withdrawal of life-sustaining treatment in the case of a poor predicted outcome. Poor outcome occurred in 197 patients (51% of those included in the analyses). Unfavorable EEG patterns at 24 hours predicted a poor outcome with specificity of 100% (95% CI 98-100%) and sensitivity of 29% (95% CI 22-36%). Favorable patterns at 12 hours predicted good outcome with specificity of 88% (95% CI 81-93%) and sensitivity of 51% (95% CI 42-60%). Treatment withdrawal based on an unfavorable EEG pattern at 24 hours resulted in a reduced mean ICU length of stay without increased mortality in the long term. This gave small cost reductions, depending on the timing of withdrawal. Early EEG contributes to reliable prediction of good or poor outcome of postanoxic coma and may lead to reduced length of ICU stay. In turn, this may bring small cost reductions.

Activities, productivity, and compensation of men and women in the life sciences.

Science.gov (United States)

DesRoches, Catherine M; Zinner, Darren E; Rao, Sowmya R; Iezzoni, Lisa I; Campbell, Eric G

2010-04-01

To determine whether professional activities, professional productivity, and salaries of life sciences faculty differ by gender. The authors undertook this study because previous studies found differences in the academic experiences of women and men. In 2007, the authors conducted a mailed survey of 3,080 life sciences faculty at the 50 universities whose medical schools received the greatest amount of National Institutes of Health funding in 2004. The response rate was 74% (n = 2,168). The main outcome measures were a faculty member's total number of publications; number of publications in the past three years; average impact score of the journals in which he or she had published; professional activities; work hours per week; the numbers of hours spent specifically in teaching, patient care, research, professional activities, and administrative activities; and annual income. Among professors, the women reported greater numbers of hours worked per week and greater numbers of administrative and professional activities than did the men. Female faculty members reported fewer publications across all ranks. After control for professional characteristics and productivity, female researchers in the life sciences earned, on average, approximately $13,226 less annually than did their male counterparts. Men and women in the academic life sciences take on different roles as they advance through their careers. A substantial salary gap still exists between men and women that cannot be explained by productivity or other professional factors. Compensation and advancement policies should recognize the full scope of the roles that female researchers play.

Health and psychosocial effects of flexible working hours.

Science.gov (United States)

Janssen, Daniela; Nachreiner, Friedhelm

2004-12-01

To examine whether any impairments in health and social lives can be found under different kinds of flexible working hours, and whether such effects are related to specific characteristics of these working hours. Two studies -- a company based survey (N=660) and an internet survey (N=528) -- have been conducted. The first one was a questionnaire study (paper and pencil) on employees working under some 'typical' kinds of different flexible working time arrangements in different companies and different occupational fields (health care, manufacturing, retail, administration, call centres). The second study was an internet-based survey, using an adaptation of the questionnaire from the first study. The results of both studies consistently show that high variability of working hours is associated with increased impairments in health and well-being and this is especially true if this variability is company controlled. These effects are less pronounced if variability is self-controlled; however, autonomy does not compensate the effects of variability. Recommendations for an appropriate design of flexible working hours should be developed in order to minimize any impairing effects on health and psychosocial well-being; these recommendations should include -- besides allowing for discretion in controlling one's (flexible) working hours -- that variability in flexible working hours should be kept low (or at least moderate), even if this variability is self-controlled.

Impacts of extended working hours in logging

Science.gov (United States)

Dana Mitchell; Tom Gallagher

2008-01-01

Last year at the 2007 AIM in Minneapolis, MN, the authors presented the human factors impacts to consider when implementing extended working hours in the logging industry. In a continuation of this project, we have researched existing literature to identify possible actions that logging business owners can take to reduce the impact of extended working hours on their...

Hourly wind speed analysis in Sicily

Energy Technology Data Exchange (ETDEWEB)

Bivona, S.; Leone, C. [Palermo Univ., Dip di Fisica e Technologie Relative, Palermo (Italy); Burlon, R. [Palermo Univ., Dip. di Ingegnaria Nucleare, Palermo (Italy)

2003-07-01

The hourly average wind speed data recorded by CNMCA (Centro Nazionale di Meteorologia e Climatologia Aeronautica) have been used to study the statistical properties of the wind speed at nine locations on Sicily. By grouping the observations month by month, we show that the hourly average wind speed, with calms omitted, is represented by a Weibull function. The suitability of the distribution is judged by the discrepancies between the observed and calculated values of the monthly average wind speed and of the standard deviation. (Author)

Does Science-Fiction predict [or change] the future?

NARCIS (Netherlands)

Christian Graswohl; Jan Westren-Doll; Douglas Fenech

2010-01-01

This research paper looks at a selection of science-fiction films and its connection with the progression of the use of television, telephone and print media. It also analyzes statistical data obtained from a questionnaire conducted by the research group regarding the use of communication media.

Relationship Between Long Working Hours and Metabolic Syndrome Among Korean Workers.

Science.gov (United States)

Yu, Jungok

2017-03-01

This study investigated gender differences in the relationship between long working hours and metabolic syndrome. Data based on the Sixth National Health and Nutrition Examination Survey (2014) pertaining to a total of 1,145 paid workers were analyzed. Working hours were divided into three groups (40-51 hours/week, 52-59 hours/week, ≥ 60 hours/week). The relationship between working hours and metabolic syndrome was then analyzed after adjusting for general and occupational characteristics, using a multiple logistic regression model. Working 40-51 hours per week was associated with the lowest metabolic syndrome among female workers (11.2%), whereas it was associated with the highest metabolic syndrome among male workers (28.0%). After adjusting for general and occupational characteristics, female workers working≥60 hours per week showed odds ratios of 2.21 [95% confidence interval (1.07, 4.57)], compared to those who worked 40-51 hours per week. However, no clear association between long working hours and metabolic syndrome was found among male workers. The results suggest that working long hours, especially≥60 hours per week, is related to metabolic syndrome among female Korean workers. Copyright © 2017. Published by Elsevier B.V.

The effects of Smoke Free Work Hours in Danish municipalities

OpenAIRE

Tina Termansen; Simon Rask

2017-01-01

Since 2011, 15 Danish municipalities have implemented smoke free work hours, meaning that an employee working for the municipality may not smoke in his or her work time (about 7,5 hours a day). This is a much stricter prevention method, than former strategies preventing smoking mostly at locations and not during working hours. Research concerning the effects of smoke free work hours is non-existing. We therefore wish to look into the specific outcomes of smoke free work hours related to smoki...

The Associations Between Long Working Hours, Physical Inactivity, and Burnout.

Science.gov (United States)

Hu, Nien-Chih; Chen, Jong-Dar; Cheng, Tsun-Jen

2016-05-01

To examine the correlations between long working hours, physical activity, and burnout. A cross-sectional survey was administered to 1560 full-time employees, who underwent periodic health examinations in the year 2013. The subjects were divided into upper, middle, and lower tertiles according to the Copenhagen Burnout Inventory (CBI) score. The comparison of the high- and low-burnout groups revealed that long working hours were significantly correlated with burnout in a dose-dependent manner. Long working hours were more significantly associated with burnout among individuals younger than 50 years, females, and physically inactive employees. Long working hours are correlated with burnout when working over 40 hours per week and is even stronger when working over 60 hours per week. Limiting working hours to 40 weekly may be beneficial for the prevention of burnout. Physical activity helps reduce the risk of burnout.

Long working hours and sickness absence-a fixed effects design.

Science.gov (United States)

Bernstrøm, Vilde Hoff

2018-05-02

While long working hours seem to lead to impaired health, several studies have also shown that long working hours are related to lower levels of sickness absence. Previous studies on the relationship between long working hours and sickness absence have compared those who work long hours to those who do not, looking only at between-individual correlations. Those results might therefore reflect relatively stable differences between employees who typically work long hours and employees who typically do not. The aim of the present study is to examine within-individual correlations between long working hours and sickness absence. Records from the Human Resources department in a large Norwegian hospital from 2012 to 2015 provided objective data on both working hours and sickness absence. Two analyses were performed: a prospective cohort analysis to replicate the results from previous between-individual analyses and a second analysis of within-individual correlations using a fixed effect design. In line with existing research, both between-individual and within-individual analyses showed a negative relationship between long working hours (> 48 h/week) and short-term sickness absence (1-8 days) and no significant difference in incidence of long-term sickness absence (> 8 days). The results indicate that the negative relationship between long working hours and sickness absence is not due only to relatively stable individual differences between those who typically work long hours and those who do not. The results from both analyses therefore still contrast with previous research showing a negative relationship between long working hours and other health indicators.

Unsupervised/supervised learning concept for 24-hour load forecasting

Energy Technology Data Exchange (ETDEWEB)

Djukanovic, M [Electrical Engineering Inst. ' Nikola Tesla' , Belgrade (Yugoslavia); Babic, B [Electrical Power Industry of Serbia, Belgrade (Yugoslavia); Sobajic, D J; Pao, Y -H [Case Western Reserve Univ., Cleveland, OH (United States). Dept. of Electrical Engineering and Computer Science

1993-07-01

An application of artificial neural networks in short-term load forecasting is described. An algorithm using an unsupervised/supervised learning concept and historical relationship between the load and temperature for a given season, day type and hour of the day to forecast hourly electric load with a lead time of 24 hours is proposed. An additional approach using functional link net, temperature variables, average load and last one-hour load of previous day is introduced and compared with the ANN model with one hidden layer load forecast. In spite of limited available weather variables (maximum, minimum and average temperature for the day) quite acceptable results have been achieved. The 24-hour-ahead forecast errors (absolute average) ranged from 2.78% for Saturdays and 3.12% for working days to 3.54% for Sundays. (Author)

Journal of Earth System Science | Indian Academy of Sciences

Indian Academy of Sciences (India)

Home; Journals; Journal of Earth System Science; Volume 126; Issue 4. Deep learning for predicting the monsoon over the homogeneous regions of India. Moumita Saha Pabitra Mitra ... Keywords. Feature learning; stacked autoencoder; monsoon predictor; ensemble of regression trees; regional Indian summer monsoon.

Working hours and health behaviour among nurses at public hospitals.

Science.gov (United States)

Fernandes, Juliana da Costa; Portela, Luciana Fernandes; Rotenberg, Lúcia; Griep, Rosane Harter

2013-01-01

To analyse the differences between genders in the description in the professional, domestic and total work hours and assess its association with health-related behaviour among nurses. This is a transversal study carried out in 18 different public hospitals in the municipality of Rio de Janeiro. The data collection procedure was based on questionnaires. All nurses working with assistance were considered eligible (n=2,279). Men and women showed significant differences in relation to working hours. The female group showed longer domestic and total work hours when compared to the group of men. In contrast, the number of hours spent on professional work was higher among men. For the women, both the professional hours and total work hours were often associated with excessive consumption of fried food and also coffee, lack of physical exercise and also the greater occurrence of overweight and obesity. Both the professional hours and the domestic work hours need to be taken into account in studies about health, self-care and also the care provided within the context of nursing workers, particularly among women. The results add weight to the need for actions for health promotion in this occupational group and the importance of assessing the impact of long working hours on the health of workers.

USGS science in Menlo Park -- a science strategy for the U.S. Geological Survey Menlo Park Science Center, 2005-2015

Science.gov (United States)

Brocher, Thomas M.; Carr, Michael D.; Halsing, David L.; John, David A.; Langenheim, V.E.; Mangan, Margaret T.; Marvin-DiPasquale, Mark C.; Takekawa, John Y.; Tiedeman, Claire

2006-01-01

In the spring of 2004, the U.S. Geological Survey (USGS) Menlo Park Center Council commissioned an interdisciplinary working group to develop a forward-looking science strategy for the USGS Menlo Park Science Center in California (hereafter also referred to as "the Center"). The Center has been the flagship research center for the USGS in the western United States for more than 50 years, and the Council recognizes that science priorities must be the primary consideration guiding critical decisions made about the future evolution of the Center. In developing this strategy, the working group consulted widely within the USGS and with external clients and collaborators, so that most stakeholders had an opportunity to influence the science goals and operational objectives.The Science Goals are to: Natural Hazards: Conduct natural-hazard research and assessments critical to effective mitigation planning, short-term forecasting, and event response. Ecosystem Change: Develop a predictive understanding of ecosystem change that advances ecosystem restoration and adaptive management. Natural Resources: Advance the understanding of natural resources in a geologic, hydrologic, economic, environmental, and global context. Modeling Earth System Processes: Increase and improve capabilities for quantitative simulation, prediction, and assessment of Earth system processes.The strategy presents seven key Operational Objectives with specific actions to achieve the scientific goals. These Operational Objectives are to:Provide a hub for technology, laboratories, and library services to support science in the Western Region. Increase advanced computing capabilities and promote sharing of these resources. Enhance the intellectual diversity, vibrancy, and capacity of the work force through improved recruitment and retention. Strengthen client and collaborative relationships in the community at an institutional level.Expand monitoring capability by increasing density, sensitivity, and

Effectiveness of 2-hour Troponin in High-risk Patients With Suspected Acute Coronary Syndrome.

Science.gov (United States)

Bove, Joseph; Hochman, Steven; Miller, Jacob; Artim, Stephen

2017-06-01

Research has shown the safety and effectiveness of drawing a standard troponin level at presentation and again at 2 hours in only low-risk patients. Because high-sensitivity troponins are not currently approved in the United States, we studied the utility of a standard troponin that is presently in use. Our goal was to determine if 2-hour standard troponin would be safe and effective in the evaluation of a high-risk cohort of patients never studied previously. We conducted a single-center prospective observational study of adult patients presenting to the emergency department with signs and symptoms suggestive of acute coronary syndrome. Patients were defined as high risk if the attending physician planned to admit or transfer the patient to the observation unit. History, Electrocardiography, Age, Risk factors, Troponin scores were calculated on all patients to provide verification that the individuals were high risk. The primary outcome was a composite of 30-day myocardial infarction, death, cardiac arrest with return of spontaneous circulation, or dysrhythmia. The secondary outcome was 30-day revascularization. We included a total of 122 patients with an average follow-up of 112 days (minimum 30 days). A total of 86% of cases had History, Electrocardiography, Age, Risk factors, Troponin scores ≥4. The primary outcome was met in 22 (18%) patients, and the secondary outcome occurred in 7 (5.7%) patients. The negative predictive value of negative 2-hour troponins along with no significant delta troponin rise was 98.7%. Discharging patients thought to be high risk who have negative troponins at 0 and 2 hours and no delta troponin rise appears safe. No deaths occurred in follow-up. Larger studies are warranted.

Analytical Study of Self-Motivations among a Southwest Public University Nonpolitical Science Major Students in Required Political Science Courses

Science.gov (United States)

Gasim, Gamal; Stevens, Tara; Zebidi, Amira

2012-01-01

All undergraduate students are required by state law to take six credited hours in political science. This study will help us identify if differences exist in self-determination among students enrolled in American Public Policy and American Government at a large, Southwestern public university. Because some types of motivation are associated with…

Spectrum sensitivity, energy yield, and revenue prediction of PV and CPV modules

Energy Technology Data Exchange (ETDEWEB)

Kinsey, Geoffrey S., E-mail: Geoffrey.kinsey@ee.doe.gov [U.S. Department of Energy, 950 L’Enfant Plaza, Washington, DC 20024 (United States)

2015-09-28

Impact on module performance of spectral irradiance variation has been determined for III-V multijunctions compared against the four most common flat-plate module types (cadmium telluride, multicrystalline silicon, copper indium gallium selenide, and monocrystalline silicon. Hour-by-hour representative spectra were generated using atmospheric variables for Albuquerque, New Mexico, USA. Convolution with published values for external quantum efficiency gave the predicted current output. When combined with specifications of commercial PV modules, energy yield and revenue were predicted. This approach provides a means for optimizing PV module design based on various site-specific temporal variables.

A new Predictive Model for Relativistic Electrons in Outer Radiation Belt

Science.gov (United States)

Chen, Y.

2017-12-01

Relativistic electrons trapped in the Earth's outer radiation belt present a highly hazardous radiation environment for spaceborne electronics. These energetic electrons, with kinetic energies up to several megaelectron-volt (MeV), manifest a highly dynamic and event-specific nature due to the delicate interplay of competing transport, acceleration and loss processes. Therefore, developing a forecasting capability for outer belt MeV electrons has long been a critical and challenging task for the space weather community. Recently, the vital roles of electron resonance with waves (including such as chorus and electromagnetic ion cyclotron) have been widely recognized; however, it is still difficult for current diffusion radiation belt models to reproduce the behavior of MeV electrons during individual geomagnetic storms, mainly because of the large uncertainties existing in input parameters. In this work, we expanded our previous cross-energy cross-pitch-angle coherence study and developed a new predictive model for MeV electrons over a wide range of L-shells inside the outer radiation belt. This new model uses NOAA POES observations from low-Earth-orbits (LEOs) as inputs to provide high-fidelity nowcast (multiple hour prediction) and forecast (> 1 day prediction) of the energization of MeV electrons as well as the evolving MeV electron distributions afterwards during storms. Performance of the predictive model is quantified by long-term in situ data from Van Allen Probes and LANL GEO satellites. This study adds new science significance to an existing LEO space infrastructure, and provides reliable and powerful tools to the whole space community.

ACGME proposes dropping the 16 hour resident shift limit

Directory of Open Access Journals (Sweden)

Robbins RA

2016-11-01

Full Text Available No abstract available. Article truncated after 150 words. The Accreditation Council for Graduate Medical Education (ACGME is proposing that first-year residents would no longer be limited to 16-hour shifts during the 2017-2018 academic year under a controversial proposal released today (1. Instead, individual residency programs could assign first-year trainees to shifts as long as 28 hours, the current limit for all other residents. The 28-hour maximum includes 4 transitional hours that's designed in part to help residents improve continuity of care. The plan to revise training requirements does not change other rules designed to protect all residents from overwork. including the maximum80 hours per week. The ACGME capped the shifts of first-year residents at 16 hours in 2011 as a part of an ongoing effort to make trainee schedules more humane and avoid clinical errors caused by sleep deprivation. ACGME CEO Thomas Nasca, MD, told Medscape Medical News that the problem arises largely from first-year residents not being ...

Do flexible alcohol trading hours reduce violence? A theory-based natural experiment in alcohol policy.

Science.gov (United States)

Humphreys, David K; Eisner, Manuel P

2014-02-01

Alcohol-related violence is a pressing public health concern. In 2005, the government of England and Wales took a controversial approach to preventing violence by removing restrictions on opening hours for alcohol outlets, thus increasing the availability of alcohol. The policy aimed to remove fixed closing times, which it claimed was contributing to urban violence occurring at peak closing times. It proposed to reduce violence and disorder by installing systems of 'staggered closing times'. This policy was criticised for overlooking established public health principles prioritising the control of alcohol availability in the prevention of alcohol-related harm. In this study, we treated the removal of trading hour restrictions as a natural experiment to test competing theoretical principles about the relationship between alcohol availability and violence. Our study took place in the City of Manchester over a four-year period 2004-2008. Detailed trading records for over 600 alcohol outlets were obtained, as were police records for all violent incidents. We found considerable variation in the implementation of extended trading hours across the city, which affected area-level exposure of changes in alcohol availability and staggered closing times. To isolate the effect of these changes on violence, we performed a dose-response analysis to examine whether improved staggering of closing hours (or increased alcohol availability) was associated with decreases in violence. We found no evidence to support the government-proposed hypothesis that staggered closing reduces violence. We also found no support for the alternative hypothesis; that increase alcohol availability would result in increased violence. This study provides an example of how better evidence can be generated from natural experiments by placing added emphasis on theory, causal mechanisms and implementation science. Copyright © 2013 Elsevier Ltd. All rights reserved.

Capturing Neutrinos from a Star's Final Hours

Science.gov (United States)

Hensley, Kerry

2018-04-01

Patton (University of Washington) and collaborators first used a stellar evolution model to explore neutrino production in massive stars. They modeled the evolution of two massive stars 15 and 30 times the mass of our Sun from the onset of nuclear fusion to the moment of collapse.The authors found that in the last few hours before collapse, during which the material in the stars cores is rapidly upcycled into heavier elements, the flux from beta-process neutrinos rivals that of thermal neutrinos and even exceeds it at high energies. So now we know there are many beta-process neutrinos but can we spot them?Neutrino and antineutrino fluxes at Earth from the last 2 hours of a 30-solar-mass stars life compared to the flux from background sources. The rows represent calculations using two different neutrino mass hierarchies. Click to enlarge. [Patton et al. 2017]Observing Elusive NeutrinosFor an imminent supernova at a distance of 1 kiloparsec, the authors find that the presupernova electron neutrino flux rises above the background noise from the Sun, nuclear reactors, and radioactive decay within the Earth in the final two hours before collapse.Based on these calculations, current and future neutrino observatories should be able to detect tens of neutrinos from a supernova within 1 kiloparsec, about 30% of which would be beta-process neutrinos. As the distance to the star increases, the time and energy window within which neutrinos can be observed gradually narrows, until it closes for stars at a distance of about 30 kiloparsecs.Are there any nearby supergiants soon to go supernova so these predictions can be tested? At a distance of only 650 light-years, the red supergiant star Betelgeuse should produce detectable neutrinos when it explodes an exciting opportunity for astronomers in the far future!CitationKelly M. Patton et al 2017ApJ8516. doi:10.3847/1538-4357/aa95c4

Seeding science success: Relations of secondary students' science self-concepts and motivation with aspirations and achievement

Science.gov (United States)

Chandrasena, Wanasinghe Durayalage

This research comprises three inter-related synergistic studies. Study 1 aims to develop a psychometrically sound tool to measure secondary students' science self-concepts, motivation, and aspirations in biology, chemistry, earth and environmental methodology to explicate students' and teachers' views, practices, and personal experiences, to identify the barriers to undertaking science for secondary students and to provide rich insights into the relations of secondary students' science self-concepts and motivation with their aspirations and achievement. Study 3 will detect additional issues that may not necessarily be identifiable from the quantitative findings of Study 2. The psychometric properties of the newly developed instrument demonstrated that students' science self-concepts were domain specific, while science motivation and science aspirations were not. Students' self-concepts in general science, chemistry, and physics were stronger for males than females. Students' self-concepts in general science and biology became stronger for students in higher years of secondary schooling. Students' science motivation did not vary across gender and year levels. Though students' science aspirations did not vary across gender, they became stronger with age. In general, students' science self-concepts and science motivation were positively related to science aspirations and science achievement. Specifically, students' year level, biology self-concept, and physics self concept predicted their science and career aspirations. Biology self-concept predicted teacher ratings of students' achievement, and students' general science self-concepts predicted their achievement according to students' ratings. Students' year level and intrinsic motivation in science were predictors of their science aspirations, and intrinsic motivation was a greater significant predictor of students' achievement, according to student ratings. Based upon students' and teachers' perceptions, the

29 CFR 778.114 - Fixed salary for fluctuating hours.

Science.gov (United States)

2010-07-01

..., whatever their number, rather than for working 40 hours or some other fixed weekly work period, such a... compensation to the employee at a rate not less than the applicable minimum wage rate for every hour worked in..., in addition to such salary, for all overtime hours worked at a rate not less than one-half his...

MARGINALIZATION OF DEPARTMENTS OF SOCIAL SCIENCES AND LANGUAGES IN SENIOR HIGH SCHOOL IN DENPASAR

Directory of Open Access Journals (Sweden)

I Wayan Winaja

2013-02-01

Full Text Available Learning should be focused on the social and cultural development of intellectual ability, and encourage the learner’s comprehension and knowledge in order to produce intelligent and educated society. From the data collected from Public Senior High School 1 Denpasar and Dwijendra Senior High School Denpasar, it was found that the departments of social sciences and languages were seriously marginalized, indicated by the time allocated for social sciences and languages. The time allocated for Natural Sciences such as chemistry, physics, and biology averaged three hours a week. The additional ‘extra’ time allocated for Natural Sciences made the overall time allocated for them double the overall time allocated for Social Sciences such as economics, history sociology, and geography. Furthermore, the time allocated for one of them was one hour a week. The knowledge presented by the books of Natural Sciences was highly “instrumentalist-positivistic”; unlike the books of social sciences which only provided academic normative information. The modernity contained in “instrumentative positivism” was the philosophy which gave more priority to practical things and hard work with financial success as the main criterion. It was concluded that the marginalization of the departments of social sciences and languages in Public Senior High School 1 Denpasar and Dwijendra Senior High School Denpasar resulted from modernism, the culture of image, and the image that natural sciences were more advantageous than social sciences and languages.

Science Hack Day uses CMS data

CERN Multimedia

Katerina Sandoval

2012-01-01

Science Hack events: a new way for scientists, designers and other techno-savvy people to interact. The most recent Science Hack Day was held in San Francisco and with it the CMS collaboration found an original and simple way to present its data. Science Hack events: a new way for scientists, designers and other techno-savvy people to interact. The most recent Science Hack Day was held in San Francisco and with it the CMS collaboration found an original and simple way to present its data.   Participants in the CMS hack event. (Photo credit: Morris Mwanga.) First of all, you need to know what “hack” means. A hack is a quick solution to a problem, often the cleverest one if not the most elegant. So, a Science Hack Day is a 48-hour all-night event that brings together “hackers” to create innovative solutions to scientific problems. This year’s event was held in San Francisco from 12 to 13 November and was a huge success! It hosted around 150 s...

Work Hours, Social Value of Leisure and Globalisation

DEFF Research Database (Denmark)

Hansen, Jørgen Drud; Nielsen, Jørgen Ulff-Møller; Montagna, Catia

We examine how openness interacts with the coordination of consumption-leisure decisions in determining the equilibrium working hours and wage rate when there are leisure externalities (e.g., due to social interactions). The latter are modelled by allowing a worker's marginal utility of leisure...... to be increasing in the leisure time taken by other workers. Coordination takes the form of internalising the leisure externality and other relevant constraints (e.g., labour demand). The extent of openness is measured by the degree of capital mobility. We find that: coordination lowers equilibrium work hours...... and raises the wage rate; there is a U-shaped (inverse-U-shaped) relationship between work hours (wages) and the degree of coordination; coordination is welfare improving; and, the gap between the coordinated and uncoordinated work hours (and the corresponding wage rates) is affected by the extent and nature...

Work Hours, Social Value of Leisure and Globalisation

DEFF Research Database (Denmark)

Hansen, Jørgen Drud; Molana, Hassan; Montagna, Catia

2010-01-01

We examine how openness interacts with the coordination of consumption-leisure decisions in determining the equilibrium working hours and wage rate when there are leisure externalities (e.g., due to social interactions). The latter are modelled by allowing a worker's marginal utility of leisure...... to be increasing in the leisure time taken by other workers. Coordination takes the form of internalising the leisure externality and other relevant constraints (e.g., labour demand). The extent of openness is measured by the degree of capital mobility. We find that: coordination lowers equilibrium work hours...... and raises the wage rate; there is a U-shaped (inverse-U-shaped) relationship between work hours (wages) and the degree of coordination; coordination is welfare improving; and, the gap between the coordinated and uncoordinated work hours (and the corresponding wage rates) is affected by the extent and nature...

Work hours, social value of leisure and globalisation

DEFF Research Database (Denmark)

Hansen, Jørgen Drud; Molana, Hassan; Montagna, Catia

2012-01-01

We examine how openness interacts with the coordination of consumption-leisure decisions in determining the equilibrium working hours and wage rate when there are leisure externalities (e.g., due to social interactions). The latter are modelled by allowing a worker’s marginal utility of leisure...... to be increasing in the leisure time taken by other workers. Coordination takes the form of internalising the leisure externality and other relevant constraints (e.g., labour demand). The extent of openness is measured by the degree of capital mobility. We find that: coordination lowers equilibrium work hours...... and raises the wage rate; there is a U-shaped (inverse-U-shaped) relationship between work hours (wages) and the degree of coordination; coordination is welfare improving; and, the gap between the coordinated and uncoordinated work hours (and the corresponding wage rates) is affected by the extent and nature...

12-hour shifts: an ethical dilemma for the nurse executive.

Science.gov (United States)

Lorenz, Susan G

2008-06-01

Flexible work hours, including 12-hour shifts, have become a common scheduling option for nurses. The author explores whether 12-hour shifts are an ethical scheduling option for nurses because recent research suggests that 12-hour shifts are a potential hazard to patients. A multistep model for ethical decision making, reflecting the concept of procedural justice, is used to examine this issue.

Daylight prediction techniques in energy design tools

Energy Technology Data Exchange (ETDEWEB)

Milne, M.; Zurick, J. [California Univ., Los Angeles, Dept. of Architecture, CA (United States)

1998-09-01

Four different whole-building energy design tool systems that calculate energy savings from daylighting and that display annual performance on an-hour-by-hour basis, have been tested. The nature of design tools, the sources of hourly outdoor illuminance data, the ways of predicting indoor illumination, the assumptions of each tool, and the resulting energy savings of the design tools tested are discussed. The tests were carried out with the essential criteria for evaluating whole-building daylighting and energy design tools in mind. These have been identified as user confidence, accuracy, response time, and the amount of detail. Results of the tests, all four of them run on a single elementary school classroom for the sake of comparability, were provided. 9 refs., 2 figs.

The daily hour forecasting of the electrical energy production from renewable energy sources – a required condition for the operation of the new energy market model

International Nuclear Information System (INIS)

Kalpachka, Gergana; Kalpachki, Georgi

2011-01-01

The report presented the new energy market model in Bulgaria and the main attention is directed to a daily hour forecasting of the electrical energy production from renewable energy sources. The need of development of a methodology and the development of the most precise methods for predicting is reviewed and some of the used methods at the moment are presented. An analysis of the problems related to the daily hour forecasting is done using data from the producers of electrical energy from renewable energy sources in the territory of western Bulgaria. Keywords: Renewable energy sources, daily hour forecasting, electrical energy

Relationship Between Long Working Hours and Metabolic Syndrome Among Korean Workers

OpenAIRE

Jungok Yu, RN, PhD

2017-01-01

Purpose: This study investigated gender differences in the relationship between long working hours and metabolic syndrome. Methods: Data based on the Sixth National Health and Nutrition Examination Survey (2014) pertaining to a total of 1,145 paid workers were analyzed. Working hours were divided into three groups (40–51 hours/week, 52–59 hours/week, ≥ 60 hours/week). The relationship between working hours and metabolic syndrome was then analyzed after adjusting for general and occupationa...

Periodic self-rostering in shift work: correspondence between objective work hours, work hour preferences (personal fit), and work schedule satisfaction

NARCIS (Netherlands)

Ingre, M.; Äkerstedt, T.; Ekstedt, M.; Kecklund, L.G.

2012-01-01

Objectives The main objective of the present study was to investigate relative personal fit as the association between rated needs and preferences for work hours, on the one hand, and actual work hours, on the other hand, in three groups (hospital, call-center, and police) working with periodic

Ozone Nonattainment Areas - 1 Hour

Data.gov (United States)

U.S. Environmental Protection Agency — This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for Ozone - 1hour (Legacy...

Prediction and probability in sciences

International Nuclear Information System (INIS)

Klein, E.; Sacquin, Y.

1998-01-01

This book reports the 7 presentations made at the third meeting 'physics and fundamental questions' whose theme was probability and prediction. The concept of probability that was invented to apprehend random phenomena has become an important branch of mathematics and its application range spreads from radioactivity to species evolution via cosmology or the management of very weak risks. The notion of probability is the basis of quantum mechanics and then is bound to the very nature of matter. The 7 topics are: - radioactivity and probability, - statistical and quantum fluctuations, - quantum mechanics as a generalized probability theory, - probability and the irrational efficiency of mathematics, - can we foresee the future of the universe?, - chance, eventuality and necessity in biology, - how to manage weak risks? (A.C.)

Working hours and health behaviour among nurses at public hospitals

Directory of Open Access Journals (Sweden)

Juliana da Costa Fernandes

2013-09-01

Full Text Available OBJECTIVE: to analyse the differences between genders in the description in the professional, domestic and total work hours and assess its association with health-related behaviour among nurses. METHODS: this is a transversal study carried out in 18 different public hospitals in the municipality of Rio de Janeiro. The data collection procedure was based on questionnaires. All nurses working with assistance were considered eligible (n=2,279. RESULTS: men and women showed significant differences in relation to working hours. The female group showed longer domestic and total work hours when compared to the group of men. In contrast, the number of hours spent on professional work was higher among men. For the women, both the professional hours and total work hours were often associated with excessive consumption of fried food and also coffee, lack of physical exercise and also the greater occurrence of overweight and obesity. CONCLUSION: both the professional hours and the domestic work hours need to be taken into account in studies about health, self-care and also the care provided within the context of nursing workers, particularly among women. The results add weight to the need for actions for health promotion in this occupational group and the importance of assessing the impact of long working hours on the health of workers.

Do economic stresses influence child work hours on family farms?

Science.gov (United States)

Gadomski, Anne; de Long, Rachel; Burdick, Patrick; Jenkins, Paul

2005-01-01

Economic stresses are a frequently cited reason for children doing farm work. To explore the relationship between economic indicators and child agricultural work hours between January 2001 and October 2003. This ecologic study design compares trends in aggregate child work hours with national and regional economic indicators. Child work hours were obtained from quarterly surveillance data from a randomized field trial of agricultural task guidelines for children. 2,360 children living or working on 845 farms in central New York participated in the original study. The relationship between child work hours and three economic indicators: national all farm index (AFI) ratio, national fuel index, and regional milk prices was analyzed using times series plots, correlation, and multiple linear regression. The AFI ratio was positively correlated with child work hours (r = 0.49, p = 0.008) but there was no significant correlation between child work hours and fuel or milk prices. Multiple linear regression demonstrated that the relationship between AFI and child work hours is independent of a seasonal effect. Increased child work hours may be associated with periods of higher farm sector productivity, rather than economic stress per se. Findings are limited by the ecologic study design, use of national economic indicators, and the limited number of cycles of child work hours available for time series analysis. Economic conditions may influence decisions about children's farm work.

Using Grand Challenges to Teach Science: A Biology-Geology Collaboration

Science.gov (United States)

Lyford, M.; Myers, J. D.

2012-12-01

Three science courses at the University of Wyoming explore the inextricable connections between science and society by centering on grand challenges. Two of these courses are introductory integrated science courses for non-majors while the third is an upper level course for majors and non-majors. Through collaboration, the authors have developed these courses to explore the grand challenges of energy, water and climate. Each course focuses on the fundamental STEM principles required for a citizen to understand each grand challenge. However, the courses also emphasize the non-STEM perspectives (e.g., economics, politics, human well-being, externalities) that underlie each grand challenge and argue that creating equitable, sustainable and just solutions to the grand challenges hinges on an understanding of STEM and non-STEM perspectives. Moreover, the authors also consider the multitude of personal perspectives individuals bring to the classroom (e.g., values, beliefs, empathy misconceptions) that influence any stakeholder's ability to engage in fruitful discussions about grand challenge solutions. Discovering Science (LIFE 1002) focuses on the grand challenges of energy and climate. Students attend three one-hour lectures, one two-hour lab and a one-hour discussion each week. Lectures emphasize the STEM and non-STEM principles underlying each grand challenge. Laboratory activities are designed to be interdisciplinary and engage students in inquiry-driven activities to reinforce concepts from lecture and to model how science is conducted. Labs also expose students to the difficulties often associated with scientific studies, the limits of science, and the inherent uncertainties associated with scientific findings. Discussion sessions provide an opportunity for students to explore the complexity of the grand challenges from STEM and non-STEM perspectives, and expose the multitude of personal perspectives an individual might harbor related to each grand challenge

High-Density Lipoprotein Cholesterol, Blood Urea Nitrogen, and Serum Creatinine Can Predict Severe Acute Pancreatitis.

Science.gov (United States)

Hong, Wandong; Lin, Suhan; Zippi, Maddalena; Geng, Wujun; Stock, Simon; Zimmer, Vincent; Xu, Chunfang; Zhou, Mengtao

2017-01-01

Early prediction of disease severity of acute pancreatitis (AP) would be helpful for triaging patients to the appropriate level of care and intervention. The aim of the study was to develop a model able to predict Severe Acute Pancreatitis (SAP). A total of 647 patients with AP were enrolled. The demographic data, hematocrit, High-Density Lipoprotein Cholesterol (HDL-C) determinant at time of admission, Blood Urea Nitrogen (BUN), and serum creatinine (Scr) determinant at time of admission and 24 hrs after hospitalization were collected and analyzed statistically. Multivariate logistic regression indicated that HDL-C at admission and BUN and Scr at 24 hours (hrs) were independently associated with SAP. A logistic regression function (LR model) was developed to predict SAP as follows: -2.25-0.06 HDL-C (mg/dl) at admission + 0.06 BUN (mg/dl) at 24 hours + 0.66 Scr (mg/dl) at 24 hours. The optimism-corrected c-index for LR model was 0.832 after bootstrap validation. The area under the receiver operating characteristic curve for LR model for the prediction of SAP was 0.84. The LR model consists of HDL-C at admission and BUN and Scr at 24 hours, representing an additional tool to stratify patients at risk of SAP.

29 CFR 785.21 - Less than 24-hour duty.

Science.gov (United States)

2010-07-01

... Sleeping Time and Certain Other Activities § 785.21 Less than 24-hour duty. An employee who is required to be on duty for less than 24 hours is working even though he is permitted to sleep or engage in other... 29 Labor 3 2010-07-01 2010-07-01 false Less than 24-hour duty. 785.21 Section 785.21 Labor...

Work-Family Conflict, Children, and Hour Mismatches in Australia

Science.gov (United States)

Reynolds, Jeremy; Aletraris, Lydia

2007-01-01

This article helps integrate research on work hours and work-family issues by examining how work-family conflict is related to the desire for more and fewer hours of work. Using the first wave of the Household Income and Labor Dynamics in Australia survey, we find that work-to-family conflict is associated with a desire for fewer hours of work.…

The science of science: From the perspective of complex systems

Science.gov (United States)

Zeng, An; Shen, Zhesi; Zhou, Jianlin; Wu, Jinshan; Fan, Ying; Wang, Yougui; Stanley, H. Eugene

2017-11-01

The science of science (SOS) is a rapidly developing field which aims to understand, quantify and predict scientific research and the resulting outcomes. The problem is essentially related to almost all scientific disciplines and thus has attracted attention of scholars from different backgrounds. Progress on SOS will lead to better solutions for many challenging issues, ranging from the selection of candidate faculty members by a university to the development of research fields to which a country should give priority. While different measurements have been designed to evaluate the scientific impact of scholars, journals and academic institutions, the multiplex structure, dynamics and evolution mechanisms of the whole system have been much less studied until recently. In this article, we review the recent advances in SOS, aiming to cover the topics from empirical study, network analysis, mechanistic models, ranking, prediction, and many important related issues. The results summarized in this review significantly deepen our understanding of the underlying mechanisms and statistical rules governing the science system. Finally, we review the forefront of SOS research and point out the specific difficulties as they arise from different contexts, so as to stimulate further efforts in this emerging interdisciplinary field.

Planning Annuaulised hours when spike in demand exists

Directory of Open Access Journals (Sweden)

MR Sureshkumar

2012-04-01

Full Text Available Manpower planning using annualised hours is an effective tool where seasonal demand for staff in industry exists. In annualised hours (AH workers are contracted to work for a certain number of hours per year. The workers are associated with relative efficiency for different types of tasks. This paper proposes a Mixed Integer linear Programming (MILP model to solve an annualised working hours planning problem when spike in demand exists. The holiday weeks for the workers are considered as partially individualised. If a worker has been assigned with more than one type of working week in a week, this will be compensated with one or more holiday week. The performance of the model is demonstrated with an example. It can be seen that this type of modelling helps to meet the spikes in demand with less capacity shortage compared with one working week in a week.

U.S. Hourly Precipitation Data

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Hourly Precipitation Data (HPD) is digital data set DSI-3240, archived at the National Climatic Data Center (NCDC). The primary source of data for this file is...

Analytical Predictions of Fatigue Crack Growth in the Lower Plate of the F-111 Wing Pivot Fitting Fuel Flow Hole Number 58

National Research Council Canada - National Science Library

MUrtagh, B

1998-01-01

... (then General Dynamics), predicted a fatigue life of approximately 57,000 flight hours. An equivalent analysis was conducted using the analytical crack closure code, FASTRAN II, and this resulted in a life prediction of about 25,000 flight hours...

Long working hours and pregnancy complications: women physicians survey in Japan.

Science.gov (United States)

Takeuchi, Masumi; Rahman, Mahbubur; Ishiguro, Aya; Nomura, Kyoko

2014-07-23

Previous studies have investigated the impact of occupational risk factors on health outcomes among physicians. However, few studies have investigated the effects on pregnancy outcomes among physicians. In this study, we examined the association between working hours during pregnancy and pregnancy complications among physicians. A cross-sectional study was based on a survey conducted in 2009-2011 of 1,684 alumnae (mean age, 44 ± 8 years) who had graduated from 13 private medical schools in Japan. Data on threatened abortion (TA), preterm birth (PTB), and the number of working hours during the first trimester of pregnancy were obtained via retrospective assessments. Of the 939 physicians with a first pregnancy, 15% experienced TA and 12% experienced PTB. Women who experienced TA (mean weekly working hours: 62 h vs. 50 h, P working hours during the first trimester than did those without pregnancy complications. Compared with women who worked 40 hours or less per week, women who worked 71 hours or more per week had a three-fold higher risk of experiencing TA (95% confidence interval (CI): 1.7-6.0) even after adjusting for medical specialty, maternal age, and current household income. The risk of experiencing PTB was 2.5 times higher (95% CI:1.2-5.2) in women who worked 51-70 hours and 4.2 times higher (95% CI: 1.9-9.2) in women who worked 71 hours or more even after adjusting for specialty, maternal age, and current household income. The trend in the P statistic reflecting the effect of the quartile of hours worked per week (40 hours, 41-50 hours, 51-70 hours, ≥ 71 hours) on TA or PTB was 0.0001 in the multivariate logistic regression models. These results suggest that working long hours during the first trimester of pregnancy is associated with TA and PTB.

Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.

Energy Technology Data Exchange (ETDEWEB)

Columbia River System Operation Review (U.S.)

1994-02-01

The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

The effects of Smoke Free Work Hours in Danish municipalities

Directory of Open Access Journals (Sweden)

Tina Termansen

2017-05-01

Full Text Available Since 2011, 15 Danish municipalities have implemented smoke free work hours, meaning that an employee working for the municipality may not smoke in his or her work time (about 7,5 hours a day. This is a much stricter prevention method, than former strategies preventing smoking mostly at locations and not during working hours. Research concerning the effects of smoke free work hours is non-existing. We therefore wish to look into the specific outcomes of smoke free work hours related to smoking prevalence, sickness leave and work place culture through a semi-experimental study. As the decision to implement smoke free work hours is administrative and/or political, we will not be able to randomize the intervention. Instead, we use one or more Danish municipality who are planning to implement smoke free work hours as an intervention-group and similar municipalities as control group. Data will be collected both through questionnaires about employees smoking prevalence, sickness leave and work place community, and through register data about the citizens employed in the municipalities in question. This will primarily be data on socio-economic status and health. In this way we can compare the municipalities implementing smoke free work hours with each other and find similar control municipalities. We hope, that this study can contribute to understanding the specific outcomes of implementing smoke free work hours, focusing both on health outcomes and work place culture.

Long working hours and emotional well-being in korean manufacturing industry employees.

Science.gov (United States)

Lee, Kyoung-Hye; Kim, Jong-Eun; Kim, Young-Ki; Kang, Dong-Mug; Yun, Myeong-Ja; Park, Shin-Goo; Song, Jae-Seok; Lee, Sang-Gil

2013-12-05

Korea is well known for its long work hours amongst employees. Because workers of the manufacturing industry are constantly exposed to extended work hours, this study was based on how long work hours affect their emotional well-being. The analysis was done using the secondary Korean Working Condition Survey (KWCS). Long work hours were defined to be more than 48 hours, and they were subcategorized into units of 52 hours and 60 hours. Based on the WHO (five) well-being index, emotional state was subdivided into three groups - reference group, low-mood group, and possible depression group- where 28 points and 50 points were division points, and two groups were compared at a time. Association between long work hours and emotional state was analyzed using binary and multinomial logistic regression analysis. Working for extended working hours in the manufacturing industry showed a statistically significant increase (t test p work-related characteristics were fixed as controlled variables, as work hours increased the odds ratio of the possible depression group increased compared to the reference group, and especially the odds ratio was 2.73 times increased for work hours between 48-52 and 4.09 times increased for 60 hours or more and both were statistically significant. In comparing the low-mood group and possible depression group, as work hours increased the odds ratio increased to 1.73, 2.39, and 4.16 times, and all work hours from working 48-52 hours, 53-60 hours, and 60 hours or more were statistically significant. Multinomial logistic regression analysis also showed that among the reference group and possible group, the possible depression group was statistically significant as odds ratio increased to 2.94 times in working 53-60 hours, and 4.35 times in 60 hours or more. Long work hours have an adverse effect on emotional well-being. A more diversified research towards variables that affect long work hours and emotional well-being and how they interact with each

Review of Nearshore Morphologic Prediction

Science.gov (United States)

Plant, N. G.; Dalyander, S.; Long, J.

2014-12-01

The evolution of the world's erodible coastlines will determine the balance between the benefits and costs associated with human and ecological utilization of shores, beaches, dunes, barrier islands, wetlands, and estuaries. So, we would like to predict coastal evolution to guide management and planning of human and ecological response to coastal changes. After decades of research investment in data collection, theoretical and statistical analysis, and model development we have a number of empirical, statistical, and deterministic models that can predict the evolution of the shoreline, beaches, dunes, and wetlands over time scales of hours to decades, and even predict the evolution of geologic strata over the course of millennia. Comparisons of predictions to data have demonstrated that these models can have meaningful predictive skill. But these comparisons also highlight the deficiencies in fundamental understanding, formulations, or data that are responsible for prediction errors and uncertainty. Here, we review a subset of predictive models of the nearshore to illustrate tradeoffs in complexity, predictive skill, and sensitivity to input data and parameterization errors. We identify where future improvement in prediction skill will result from improved theoretical understanding, and data collection, and model-data assimilation.

Surgeon distress as calibrated by hours worked and nights on call.

Science.gov (United States)

Balch, Charles M; Shanafelt, Tait D; Dyrbye, Lotte; Sloan, Jeffrey A; Russell, Thomas R; Bechamps, Gerald J; Freischlag, Julie A

2010-11-01

The relationships of working hours and nights on call per week with various parameters of distress among practicing surgeons have not been previously examined in detail. More than 7,900 members of the American College of Surgeons responded to an anonymous, cross-sectional survey. The survey included self-assessment of their practice setting, a validated depression screening tool, and standardized assessments of burnout and quality of life. There was a clear gradient between hours and burnout, with the prevalence of burnout ranging from 30% for surgeons working hours/week, 44% for 60 to 80 hours/week, and 50% for those working >80 hours/week (p hours and nights on call (both p worked >80 hours/week reported a higher rate of medical errors compared with those who worked hours/week (10.7% versus 6.9%; p work and home conflicts were higher among surgeons who worked longer hours or had ≥2 nights on call. A significantly higher proportion of surgeons who worked >80 hours/week or had >2 nights on call/week would not become a surgeon again (p hours worked and nights on call per week appear to have a substantial impact on surgeons, both professionally and personally. These factors are strongly related to burnout, depression, career satisfaction, and work and home conflicts. Copyright © 2010 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Understanding motivational structures that differentially predict engagement and achievement in middle school science

Science.gov (United States)

Lee, Christine S.; Hayes, Kathryn N.; Seitz, Jeffery; DiStefano, Rachelle; O'Connor, Dawn

2016-01-01

Middle school has been documented as the period in which a drop in students' science interest and achievement occurs. This trend indicates a lack of motivation for learning science; however, little is known about how different aspects of motivation interact with student engagement and science learning outcomes. This study examines the relationships among motivational factors, engagement, and achievement in middle school science (grades 6-8). Data were obtained from middle school students in the United States (N = 2094). The theoretical relationships among motivational constructs, including self-efficacy, and three types of goal orientations (mastery, performance approach, and performance avoid) were tested. The results showed that motivation is best modeled as distinct intrinsic and extrinsic factors; lending evidence that external, performance based goal orientations factor separately from self-efficacy and an internal, mastery based goal orientation. Second, a model was tested to examine how engagement mediated the relationships between intrinsic and extrinsic motivational factors and science achievement. Engagement mediated the relationship between intrinsic motivation and science achievement, whereas extrinsic motivation had no relationship with engagement and science achievement. Implications for how classroom practice and educational policy emphasize different student motivations, and in turn, can support or hinder students' science learning are discussed.

Intra-Hour Dispatch and Automatic Generator Control Demonstration with Solar Forecasting - Final Report

Energy Technology Data Exchange (ETDEWEB)

Coimbra, Carlos F. M. [Univ. of California, San Diego, CA (United States

2016-02-25

In this project we address multiple resource integration challenges associated with increasing levels of solar penetration that arise from the variability and uncertainty in solar irradiance. We will model the SMUD service region as its own balancing region, and develop an integrated, real-time operational tool that takes solar-load forecast uncertainties into consideration and commits optimal energy resources and reserves for intra-hour and intra-day decisions. The primary objectives of this effort are to reduce power system operation cost by committing appropriate amount of energy resources and reserves, as well as to provide operators a prediction of the generation fleet’s behavior in real time for realistic PV penetration scenarios. The proposed methodology includes the following steps: clustering analysis on the expected solar variability per region for the SMUD system, Day-ahead (DA) and real-time (RT) load forecasts for the entire service areas, 1-year of intra-hour CPR forecasts for cluster centers, 1-year of smart re-forecasting CPR forecasts in real-time for determination of irreducible errors, and uncertainty quantification for integrated solar-load for both distributed and central stations (selected locations within service region) PV generation.

Emotional exhaustion may trigger cut in working hours

NARCIS (Netherlands)

Koppes, L.

2012-01-01

Researchers in the Netherlands have been examining to what extent workers are modifying their hours to cope with high levels of work-related emotional exhaustion. Findings reveal that most full-time employees would prefer a cut in their hours, with those reporting emotional exhaustion wanting a

Instructional leadership in elementary science: How are school leaders positioned to lead in a next generation science standards era?

Science.gov (United States)

Winn, Kathleen Mary

The Next Generation Science Standards (NGSS) are the newest K-12 science content standards created by a coalition of educators, scientists, and researchers available for adoption by states and schools. Principals are important actors during policy implementation especially since principals are charged with assuming the role of an instructional leader for their teachers in all subject areas. Science poses a unique challenge to the elementary curricular landscape because traditionally, elementary teachers report low levels of self-efficacy in the subject. Support in this area therefore becomes important for a successful integration of a new science education agenda. This study analyzed self-reported survey data from public elementary principals (N=667) to address the following three research questions: (1) What type of science backgrounds do elementary principals have? (2) What indicators predict if elementary principals will engage in instructional leadership behaviors in science? (3) Does self-efficacy mediate the relationship between science background and a capacity for instructional leadership in science? The survey data were analyzed quantitatively. Descriptive statistics address the first research question and inferential statistics (hierarchal regression analysis and a mediation analysis) answer the second and third research questions.The sample data show that about 21% of elementary principals have a formal science degree and 26% have a degree in a STEM field. Most principals have not had recent experience teaching science, nor were they every exclusively a science teacher. The analyses suggests that demographic, experiential, and self-efficacy variables predict instructional leadership practices in science.

Science Hack Day: an opportunity for public engagement, art/science mash-ups, and inspiration

Science.gov (United States)

Bellis, Matthew

2013-04-01

The idea of a Science Hack Day (http://sciencehackday.com/) is to put non-scientists (designers, web developers, artists, interested enthusiasts) in a room with scientists and some good ideas, and see what science-themed project they can create in a weekend (about 24 hours of real hacking). The motto of the organizers is ``Get Excited and Make Things with Science!'' I have participated in several of these events including the first one held in the United State in Palo Alto in 2010 and as a remote advisor to participants in Nairobi, Kenya. To these events I have brought particle physics data from both the BaBar and the CMS (Compact Muon Solenoid) experiments, data from the CoGeNT dark matter direct-detection experiment, and my expertise and enthusiasm. The experience has been transformative for me as both a scientist and a science advocate. This talk will recount my experiences with Science Hack Day events in general and detail some projects that have come out of these days, including the Particle Physics Wind Chime (http://www.mattbellis.com/windchime/) and the Standard Model of Cocktail Physics (http://www.physicsdavid.net/2012/11/standard-model-of-cocktail-physics/). Opportunities for other scientists to take part in similar events will be discussed.