476 research outputs found

    Small but Mighty: Examing the Utility of Microstatistics in Modeling Ice Hockey

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    As research into hockey analytics continues, an increasing number of metrics are being introduced into the knowledge base of the field, creating a need to determine whether various stats are useful or simply add noise to the discussion. This paper examines microstatistics – manually tracked metrics which go beyond the NHL’s publicly released stats – both through the lens of meta-analytics (which attempt to objectively assess how useful a metric is) and modeling game probabilities. Results show that while there is certainly room for improvement in understanding and use of microstats in modeling, the metrics overall represent an area of promise for hockey analytics

    Modeling a Clean Energy Standard for Electricity: Policy Design Implications for Emissions, Supply, Prices, and Regions

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    The electricity sector is responsible for roughly 40 percent of U.S. carbon dioxide (CO2) emissions, and a shift away from conventional coal-fired generation is an important component of the U.S. strategy to reduce greenhouse gas emissions. Toward that goal, several proposals for a clean energy standard (CES) have been put forth, including one espoused by the Obama administration that calls for 80 percent clean electricty by 2035 phased in from current levels of roughly 40 percent. This paper looks at the effects of such a policy on CO2 emissions from the electricity sector, the mix of technologies used to supply electricity, electricity prices, and regional flows of clean energy credits. The CES leads to a 30 percent reduction in cumulative CO2 emissions between 2013 and 2035 and results in dramatic reductions in generation from conventional coal. The policy also results in fairly modest increases on national electricity prices, but this masks a wide variety of effects across regions.renewables, climate, clean energy standard

    Supply Curves for Conserved Electricity

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    In this paper, we introduce a new top-down approach to modeling the effects of publicly financed energy-efficiency programs on electricity consumption and carbon dioxide emissions. The approach draws on a partial-adjustment econometric model of electricity demand and represents the results of a reverse auction for electricity savings from different levels of public investment. The model is calibrated to recent estimates of the cost-effectiveness of rate payer–funded efficiency programs at reducing electricity consumption. The results suggest that supply curves for conserved electricity are upward sloping, convex, and dependent on policy design and electricity prices. Under the scenarios modeled, electricity savings of between 1 and 3 percent are achievable at a marginal cost of 50permegawatthour(MWh)andacorrespondingaveragecostof50 per megawatt hour (MWh) and a corresponding average cost of 25–$35/MWh.energy efficiency, climate change

    Nutrient Content of Camelina Sativa and Feeding Trials in Turkeys

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    There is increasing interest in converting waste cooking oil and oil produced from oilseed crops, such as camelina, into biofuels in order to decrease dependence on petroleum products for fuel sources

    Simple Sprinkler Performance Testing for Sanpete County

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    This fact sheet describes how to perform a site inspection and a sprinkler test so you can irrigate your landscape more efficiently, and provides an irrigation schedule for Sanpete County

    Factors that Contribute to Resident Teaching Effectiveness

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    Background One of the key components of residency training is to become an educator. Resident physicians teach students, advanced practice providers, nurses, and even faculty on a daily basis. Objective The goal of this study was to identify the objective characteristics of residents, which correlate with perceived overall teaching effectiveness. Methods We conducted a one-year, retrospective study to identify factors that were associated with higher resident teaching evaluations. Senior emergency medicine (EM) teaching residents are evaluated by medical students following clinical teaching shifts. Eighteen factors pertaining to resident teaching effectiveness were chosen. Two items from the medical students' evaluations were analyzed against each factor: teaching effectiveness was measured on a five-point Likert scale and an overall teaching score (1-75). Results A total of 46 EM residents and 843 medical student evaluations were analyzed. The ACGME milestones for systems-based practice (p = 0.02) and accountability (p = 0.05) showed a statistically significant association with a rating of "five" on the Likert scale for teaching effectiveness. Three other ACGME milestones, systems-based practice (p = 0.01), task switching (p = 0.04), and team management (p = 0.03) also showed a statically significant association of receiving a score of 70 or greater on the overall teaching score. Conclusion Residents with higher performance associated with system management and accountability were perceived as highly effective teachers. USMLE and in-service exams were not predictive of higher teaching evaluations. Our data also suggest that effective teachers are working in both academic and community settings, providing a potential resource to academic departments and institutions

    The Inability to Self-diagnose Bias

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    Evolutionary Significance Of The Loss Of The Chloroplast‐Dna Inverted Repeat In The Leguminosae Subfamily Papilionoideae

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137404/1/evo05207.pd

    Sanpete County Agriculture Profile

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    This publication includes a report that gives agricultural facts and statistics pertaining to Sanpete County
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