نتایج جستجو برای: network facilities

تعداد نتایج: 745104  

Asieh Khosravanian Asieh , Saeed Ayat,

Introduction: Since human health is the issue of Medical Research, correct prediction of results is of a high importance. This study applies probabilistic neural network (PNN) for predicting coronary artery disease (CAD), because the PNN is stronger than other methods. Methods: In this descriptive-analytic study, The PNN method was implemented on 150 patients admitted to the Mazandaran Heart...

Ground vibrations caused by blasting are undesirable results in the mining industry and can cause serious damage to the nearby buildings and facilities; therefore, controlling such vibrations has an important role in reducing the environmental damaging effects. Controlling vibration caused by blasting can be achieved once peak particle velocity (PPV) is predicted. In this paper, the values of P...

Governments and customers are forcing the paper manufacturers to become more sustainable. Accordingly, there still exists a gap in the quantitative modeling of these issues. In this paper, this gap is covered through simultaneously considering economical, environmental and social impacts in the paper closed-loop supply chain network design. The proposed multi-objective, multi-echelon, multi-pro...

2015
Griet Vandeplas Asif Khan Thi Minh Thao Huynh Peter Tomassen Thibaut van Zele Lars-Olaf Cardell Julia Arebro Heidi Olze Ulrike Foerster Marek Leszek Kowalski Agnieszka Olszewska-Ziąber Wytske Fokkens Cornelis van Drunen Joaquim Mullol Peter Hellings Valérie Hox Elina Toskala Glenis Scadding Valerie Lund Claus Bachert

Background The Global Allergy and Asthma European Network (GALEN) is a network of the leading European allergy clinical and research facilities and the GALEN Sinusitis Cohort is a database within this network. The aim of this cohort is to intensify research on rhinosinusitis phenoand endotypes, thus differentiating chronic rhinosinusitis (CRS) into smaller disease entities based on clinical, bi...

Journal: :بین المللی مهندسی صنایع و مدیریت تولید 0
amirsaman kheirkhah bu-ali sina university, faculty of engineering, industrial engineering department, hamedan, iran hassan zolfaghari bu-ali sina university, faculty of engineering, industrial engineering department, hamedan, iran

in this paper, a discrete event simulation model of iranian railway system is used for analyzing performance of the system in freight sector. the model analysis shows more sensitivity of the system on loading and unloading facilities than on number of wagons and locomotives. system optimization through simulation optimization technique, shows that more than 4% of all wagons available in the net...

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