931 resultados para Distribution network planning


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Background: Diabetes is known as a major cause of morbidity and mortality worldwide. Portugal is known as the European country with the highest prevalence of this disease. While diabetes prevalence data is updated annually in Portugal, the General Practitioner’s (GP) Sentinel Network represents the only data source on diabetes incidence. This study describes the trends in Diabetes incidence, between 1992 and 2015, and estimate projections for the future incidence rates in Portugal until 2024. Methods: An ecological time-series study was conducted using data from GP Sentinel Network between 1992 and 2015. Family doctors reported all new cases of Diabetes in their patients’ lists. Annual trends were estimated through Poisson regression models as well as the future incidence rates (until 2024), sex and age group stratified. Incidence rate projections were adjusted to the distribution of the resident Portuguese population given Statistics Portugal projections. Results: The average increase in Diabetes incidence rate was in total 4.29% (CI95% 3.80–4.80) per year under study. Until 1998–2000, the annual incidence rate was higher in women, and from 1998–2000 to 2013–2015 turn out to be higher in men. The incidence rate projected for 2022–2024 was 972.77/105 inhabitants in total, and 846.74/105 and 1114.42/105, respectively, in women and men. Conclusions: This is the first study in Portugal to estimate diabetes incidence rate projections. The disturbing reported projections seem realistic if things continue as in the past. Actually, effective public health policies will need to be undertaken to minimize this alarming future scenario.

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The research work presented in the thesis describes a new methodology for the automated near real-time detection of pipe bursts in Water Distribution Systems (WDSs). The methodology analyses the pressure/flow data gathered by means of SCADA systems in order to extract useful informations that go beyond the simple and usual monitoring type activities and/or regulatory reporting , enabling the water company to proactively manage the WDSs sections. The work has an interdisciplinary nature covering AI techniques and WDSs management processes such as data collection, manipulation and analysis for event detection. Indeed, the methodology makes use of (i) Artificial Neural Network (ANN) for the short-term forecasting of future pressure/flow signal values and (ii) Rule-based Model for bursts detection at sensor and district level. The results of applying the new methodology to a District Metered Area in Emilia- Romagna’s region, Italy have also been reported in the thesis. The results gathered illustrate how the methodology is capable to detect the aforementioned failure events in fast and reliable manner. The methodology guarantees the water companies to save water, energy, money and therefore enhance them to achieve higher levels of operational efficiency, a compliance with the current regulations and, last but not least, an improvement of customer service.

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National Highway Traffic Safety Administration, Washington, D.C.

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Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

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Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

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Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

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Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

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Mode of access: Internet.

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Mode of access: Internet.

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"Issued September 1943, revised September 1944."

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Mode of access: Internet.

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"Published in September 1998, and reprinted in Aug. 2006 and revised in 2008 by the Illinois Department of Commerce and Economic Opportunity's Entrepreneurship Network Business Information Center."

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"This publication has been made available through a partnership of the Illinois Department of Commerce and Economic Opportunity's First Stop Business Information Center, the Small Business Development Center Network and the U.S. Small Business Administration"--P. [4] of cover.