Pursing Balance and Purpose: Multi-University Students’ perception of time spend sleeping, Social media, and self-care activities.

Social media can consume vast amounts of time.Therefore, it is postulated that students need to learn self-control for time management. A significant positive correlation exists between high levels of stress and internet addiction. When students learn good study habits and social media time management skills in school it is posited that once they transition to their professional role, they will continue to use those skills throughout their life

The Record of American Democracy, 1984 - 1990

Governmen

No better than flipping a coin: Reconsidering canine behavior evaluations in animal shelters

AbstractUse of behavior evaluations for shelter dogs has progressed despite their lack of scientific validation as reliable diagnostic tools. Yet results of these evaluations are often used to make life-and-death decisions. Despite acknowledging the significant limitations of evaluations, most authors suggest that the solution is to continue to attempt to remedy deficiencies. We take a contrary position and use existing data and principles of diagnostic test evaluation to demonstrate that reliably predicting problematic behaviors in future adoptive homes is vanishingly unlikely, even in theory, much less under the logistical constraints of real-world implementation of these evaluations in shelters. We explain why it would be difficult, if not impossible, to calculate robust values for sensitivity and specificity of a shelter canine behavior evaluation as required for any valid diagnostic test. We further explain the consequences of disregarding the effect of prevalence on the predictive value of a positive test (e.g., eliciting biting or warning behavior from the dog in the behavior evaluation). Finally, we mathematically demonstrate why, for any plausible combination of sensitivity, specificity, and prevalence of biting and warning behaviors, a positive test would at best be not much better than flipping a coin, and often be much worse, because many of the dogs who test positive will be false positives. Shelters already screen from adoption obviously dangerous dogs during the intake process. Subsequent provocative testing of the general population of shelter dogs is predicated on an assumption of risk that is far in excess of existing data and relies on assumptions about dog behavior that may not be supportable. We suggest that instead of striving to bring out the worst in dogs in the stressful and transitional environment of a shelter and devoting scarce resources to inherently flawed formal evaluations that do not increase public safety, it may be far better for dogs, shelters, and communities if effort spent on frequently misleading testing was instead spent in maximizing opportunities to interact with dogs in normal and enjoyable ways that mirror what they are expected to do once adopted (e.g., walking, socializing with people, playgroups with other dogs, games, training). In conjunction with a thorough and objective intake history when available, these more natural types of assessment activities will help identify any additional dogs whose behavior may be of concern. Engaging in the normal repertoire of activities familiar to pet dogs has the additional benefit of enriching dogs' lives and minimizing the adverse effect of being relinquished and confined to a shelter, will be more indicative of the typical personality and behavior of dogs, and may help make dogs better candidates for adoption

Data Assimilation of AIRS Water Vapor Profiles: Impact on Precipitation Forecasts for Atmospheric River Cases Affecting the Western of the United States

Atmospheric rivers are transient, narrow regions in the atmosphere responsible for the transport of large amounts of water vapor. These phenomena can have a large impact on precipitation. In particular, they can be responsible for intense rain events on the western coast of North America during the winter season. This paper focuses on attempts to improve forecasts of heavy precipitation events in the Western US due to atmospheric rivers. Profiles of water vapor derived from from Atmospheric Infrared Sounder (AIRS) observations are combined with GFS forecasts by a three-dimensional variational data assimilation in the Gridpoint Statistical Interpolation (GSI). Weather Research and Forecasting (WRF) forecasts initialized from the combined field are compared to forecasts initialized from the GFS forecast only for 3 test cases in the winter of 2011. Results will be presented showing the impact of the AIRS profile data on water vapor and temperature fields, and on the resultant precipitation forecasts

Evaluation of the Impact of Atmospheric Infrared Sounder (AIRS) Radiance and Profile Data Assimilation in Partly Cloudy Regions

Improvements to global and regional numerical weather prediction have been demonstrated through assimilation of data from NASA s Atmospheric Infrared Sounder (AIRS). Current operational data assimilation systems use AIRS radiances, but impact on regional forecasts has been much smaller than for global forecasts. Retrieved profiles from AIRS contain much of the information that is contained in the radiances and may be able to reveal reasons for this reduced impact. Assimilating AIRS retrieved profiles in an identical analysis configuration to the radiances, tracking the quantity and quality of the assimilated data in each technique, and examining analysis increments and forecast impact from each data type can yield clues as to the reasons for the reduced impact. By doing this with regional scale models individual synoptic features (and the impact of AIRS on these features) can be more easily tracked. This project examines the assimilation of hyperspectral sounder data used in operational numerical weather prediction by comparing operational techniques used for AIRS radiances and research techniques used for AIRS retrieved profiles. Parallel versions of a configuration of the Weather Research and Forecasting (WRF) model with Gridpoint Statistical Interpolation (GSI) are run to examine the impact AIRS radiances and retrieved profiles. Statistical evaluation of 6 weeks of forecast runs will be compared along with preliminary results of in-depth investigations for select case comparing the analysis increments in partly cloudy regions and short-term forecast impacts

The Continuing Development of the Tort of Bad Faith in Montana

Bad Fait

P.88 Regional Precipitation Forecast with Atmospheric Infrared Sounder (AIRS) Profiles

Prudent assimulation of AIRS thermodynamic profiles and quality indicators can improve initial conditions for regional weather models. In general, AIRS-enhanced analysis more closely resembles radiosondes than the CNTL; forecasts with AIRS profiles are generally closer to NAM analyses than CNTL for sensible weather parameters (not shown here). Assimilation of AIRS leads to an overall QPF improvement in 6-h accumulated precipitation forecases. Including AIRS profiles in assimilation process enhances the low-level instability and produces stronger updrafts and a better precipitation forecast than the CNTL run

Data Assimilation and Regional Forecasts Using Atmospheric InfraRed Sounder (AIRS) Profiles

In data sparse regions, remotely-sensed observations can be used to improve analyses, which in turn should lead to better forecasts. One such source comes from the Atmospheric Infrared Sounder (AIRS), which together with the Advanced Microwave Sounding Unit (AMSU), provides temperature and moisture profiles with an accuracy comparable to that of radiosondes. The purpose of this paper is to describe a procedure to optimally assimilate AIRS thermodynamic profiles--obtained from the version 5.0 Earth Observing System (EOS) science team retrieval algorithm-into a regional configuration of the Weather Research and Forecasting (WRF) model using WRF-Var. The paper focuses on development of background error covariances for the regional domain and background field type, a methodology for ingesting AIRS profiles as separate over-land and over-water retrievals with different error characteristics, and utilization of level-by-level quality indicators to select only the highest quality data. The assessment of the impact of the AIRS profiles on WRF-Var analyses will focus on intelligent use of the quality indicators, optimized tuning of the WRF-Var, and comparison of analysis soundings to radiosondes. The analyses will be used to conduct a month-long series of regional forecasts over the continental U.S. The long-tern1 impact of AIRS profiles on forecast will be assessed against verifying radiosonde and stage IV precipitation data

Employer Health Benefits 2016 Annual Survey

This annual survey of employers provides a detailed look at trends in employer-sponsored health coverage including premiums, employee contributions, cost-sharing provisions, and employer opinions. The 2016 survey included almost 1,900 interviews with non-federal public and private firms.Annual premiums for employer-sponsored family health coverage reached $18,142 this year, up 3 percent from last year, with workers on average paying$5,277 towards the cost of their coverage, according to the Kaiser Family Foundation/Health Research & Education Trust 2016 Employer Health Benefits Survey. The 2016 survey includes information on the use of incentives for employer wellness programs, plan cost-sharing as well as firm offer rate. Survey results are released here in a variety of ways, including a full report with downloadable tables on a variety of topics, summary of findings, and an article published in the journal Health Affairs

Advancing Pediatric Antibacterial Drug Development: A Critical Need to Reinvent our Approach.

The Clinical Trials Transformation Initiative convened with several groups in the pediatric antibacterial drug development community with the goal of identifying challenges and recommending ways to improve current practice. Attention to 5 major areas hold the promise of making new antibiotics available for use in children as soon as possible after they are approved for use in adults