367 research outputs found

    Final Report on the Fuel Saving Effectiveness of Various Driver Feedback Approaches

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    This final report quantifies the fuel-savings opportunities from specific driving behavior changes, identifies factors that influence drivers' receptiveness to adopting fuel-saving behaviors, and assesses various driver feedback approaches

    Route-based control of hybrid electric vehicles

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    ABSTRACT Today's hybrid electric vehicle (HEV) controls do not necessarily provide maximum fuel savings over all drive cycles. An approach that employs route-based control could improve HEV efficiency at potentially minimal additional cost. This paper evaluates a range of routebased control approaches and identifies look-ahead strategies (using input from "on-the-fly" route predictions) as an area meriting further analysis. A novel implementation approach is developed and discussed, and a comparison with simulation results using an optimized general control setting indicates that fuel savings of approximately 2% to 4% can be obtained with route-based control. Given the increasing prevalence of GPS systems in vehicles, this advance has the potential to provide considerable aggregate fuel savings if applied across the entire national fleet. For instance, a 3% across-the-board reduction in HEV fuel use would save nearly 6.5 million gallons of fuel annually in the United States. These estimated savings will increase further as HEVs achieve greater market penetration

    Cognitive Function Is Disrupted by Both Hypo- and Hyperglycemia in School-AgedChildren With Type 1 Diabetes: A Field Study

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    Objective: We developed a field procedure using personal digital assistant (PDA) technology to test the hypothesis that naturally occurring episodes of hypo- and hyperglycemia are associated with deterioration in cognitive function in children with type 1 diabetes. Research Design and Methods: A total of 61 children aged 6–11 years with type 1 diabetes received a PDA programmed with two brief cognitive tests (mental math and choice reaction time), which they completed just before home glucose readings. The computer recorded time to complete each test and number of correct responses. Children completed several trials per day over 4–6 weeks for a total of 70 trials. Performance variables were compared across glucose ranges. Individual impairment scores (IISs) were also computed for each child by calculating the SD between performance during euglycemia and that during glucose extremes. Results: Time to complete both mental math and reaction time was significantly longer during hypoglycemia. During hyperglycemia, time to complete math was significantly longer and reaction time was marginally significant (P = 0.053). There were no differences on task accuracy. Decline in mental math performance was equivalent at glucose levels 22.2 mmol/l. IISs varied greatly across children, with no age or sex differences. Conclusions: A decrease in mental efficiency occurs with naturally occurring hypo- and hyperglycemic glucose fluctuations in children with type 1 diabetes, and this effect can be detected with a field procedure using PDA technology. With blood glucose levels >22.2 mmol/l, cognitive deterioration equals that associated with significant hypoglycemia

    Genetic differences in oxygen toxicity are correlated with cytochrome P-450 inducibility.

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    Measuring and Reporting Fuel Economy of Plug-In Hybrid Electric Vehicles

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    This paper reviews techniques used to characterize plug-in hybrid electric vehicle fuel economy, discussing their merits, limitations, and best uses

    Nurses\u27 Alumnae Association Bulletin - Volume 2 Number 2

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    Coming Events Come On, \u2732 Ballot for Officers Hospital News Legislation Scholarship Fund Notes Refresher Course Correspondence Use of Heparin in Modern Treatment The Jefferson Medical College Library Nursing School Education Action - Camera - Seniors Degrees Received Engagements Weddings Births Deaths Attention Alumnae Bulletin Progress Of Special Interest Army Assignments Organized Staff Meeting

    Deriving In-Use PHEV Fuel Economy Predictions from Standardized Test Cycle Results: Preprint

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    Explores the issue of how to apply an adjustment method to raw plug-in hybrid vehicle dynamometer test results to better estimate PHEVs' in-use fuel and electricity consumption
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