The epidemiology of leptospirosis in Guilan provice - 2003

Background&Objective: Leptospirosis is most widespread Zoonosis in the world and is more prevalent in tropical and temperate regions.In most of Iran, climatologic and ecological conditions are unfavorable for leptospirosis to play an important role as a public health problem.However this does not count for the neglected flat area of Guilan province

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PROSPEK DAN TANTANGAN USAHATANI TEMBAKAU MADURA

Tobacco has an important role in the socio-economic life of the community, such as Modern POP the State in the form of tax revenue and foreign exchange earnings,employment, the income of farmers, laborers, and merchants, as well as revenue.But on the other hand, under the pretext of health, development and trading of tobacco began to get legalized

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More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction method

Summary: The integration Bike Parts - Brakes - Pads of neuroimaging with artificial intelligence is crucial for advancing the diagnosis of mental disorders.However, challenges arise from incomplete matching between diagnostic labels and neuroimaging.Here, we propose a label-noise filtering-based dimensional prediction (LAMP) method to identify reli

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Short-Term Load Forecasting for Electric Bus Charging Stations Based on Fuzzy Clustering and Least Squares Support Vector Machine Optimized by Wolf Pack Algorithm

Accurate short-term load forecasting is of momentous significance to ensure safe and economic operation of quick-change electric bus (e-bus) charging stations.In order to improve the accuracy and stability of load prediction, this paper proposes a hybrid model 700C that combines fuzzy clustering (FC), least squares support vector machine (LSSVM), a

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