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Sökning: WFRF:(Golestani M)

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  • Golestani, M., et al. (författare)
  • Lifestyle risk factor assessment through who step approach in Tabriz, Iran
  • 2021
  • Ingår i: ClinicoEconomics and Outcomes Research. - 1178-6981. ; 13, s. 487-492
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: The aim of this study was to assess the lifestyle behaviour and risk factors for lifestyle-related diseases in East Azerbaijan province, Iran. Methods: A household study using a two-stage cluster sampling method was performed. Tabriz city was randomly selected for data collection among five geographic regions in the East-Azerbaijan province. Short WHO-STEP and Ultra-short version of Socio-Economic Status assessment questionnaire were used. Six hundred households were asked to respond to the STEP questionnaire. Results: A total of 1196 people have participated in the study. People with higher socioeconomic status consumed more fruits, vegetables and fish than the people with lower socioeconomic status. People with academic education less likely to be hypertensive com-pared to people with non-academic education. People with a medium socioeconomic status are less likely to be hypertensive than people with high socioeconomic status. The majority of participants had poor dietary habits. In this study, 17.22%, 7.53% and 4.35% of respon-dents had hypertension, diabetes and depression, respectively. Conclusion: Considering that lifestyle-related risk factors are common among people. Due to the direct link between lifestyle and the occurrence of many chronic diseases, campaigns for and training programs to implement healthy lifestyle habits are recommended. 
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  • Golestani, S.J., et al. (författare)
  • Transmission network expansion planning considering unit commitment problem simultaneously
  • 2010
  • Ingår i: IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010; Gothenburg; Sweden; 11 October 2010 through 13 October 2010. - 9781424485109 ; , s. Art. no. 5638905-
  • Konferensbidrag (refereegranskat)abstract
    • Transmission Network Expansion Planning (TNEP) is an important part of power system planning in new structured power market. Its goal is to minimize the network construction and operational cost while satisfying the demand increase, considering technical and economic conditions. Since change in Unit Commitment (UC), influences transmission lines, this paper presents an Integer Coded Genetic Algorithm (ICGA) to solve both problems together. Genetic algorithm can consider all generation and network constraints. Also random behavior of genetic algorithm can simulate real probabilities such as uncertainty in generation. Considering uncertainty for some units, in each iteration, it can find out the probability of congestion for each line. After all iterations it can highlight the transmission lines which need expansion, because of high congestion probability. Simulation results of the proposed idea are presented for IEEE30-bus network.
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  • Resultat 1-7 av 7

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