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あぁかがさざただなはばぱまやゃらわゎんいぃきぎしじちぢにひびぴみりうぅくぐすずつづっぬふぶぷむゆゅるえぇけげせぜてでねへべぺめれおぉこごそぞとどのほぼぽもよょろを

アァカサザタダナハバパマヤャラワヮンイィキギシジチヂニヒビピミリウゥクグスズツヅッヌフブプムユュルエェケゲセゼテデヘベペメレオォコゴソゾトドノホボポモヨョロヲ ―

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á à Á À é è É È ç Ç ê

Ä Ö Ü ä ö ü ß

ְ ֳ ֲ ֱ ָ ַ ֵ ֶ ִ ֹ ּ ֻ ׂ ׁ ּ פ ם ן ו ט א ר ק ף ך ל ח י ע כ ג ד ש ץ ת צ מ נ ה ב

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± × ÷ ≠ ≤ ≥ ∞ ∴ ♂ ♀ ∠ ⊥ ⌒ ∂ ∇ ≡ ≒ ≪ ≫ √ ∽ ∝ ∵ ∫ ∬ ∈ ∋ ⊆ ⊇ ⊂ ⊃ ∪ ∩ ∧ ∨ ￢ ⇒ ⇔ ∀ ∃ ∮ ∑ ∏ ＋－＜＝＞

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½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄

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10개씩 출력

1
Factors Influencing Animal Bites in Iran: A Descriptive Study

Rouhullah Dehghani,Alireza Sharif,Mahla Madani,Hamed H. Kashani,Mohammad R. Sharif 질병관리본부 2016 Osong Public Health and Research Persptectives Vol.7 No.4
Objectives: Animal bite is a significant health economic challenge worldwide. In Iran, there has been an increase in the number of animal bites in recent years. This study was performed to investigate the epidemiology of animal bites and their influencing factors in Semirom, Iran, from 2008 to 2012. Methods: This was a descriptive study conducted for 5 years. The data were based on the information sheets presented in health-care centers concerning how to combat against rabies caused by animal bites. The data obtained were classified and analyzed statistically. Results: During the 5-year study period, 1,246 animal bite cases were reported; 60% of the victims belonged to rural areas and the remaining 40% to urban areas. Among various aggressive animals, dogs had the highest rate of attacks (63.4%). The highest rate of animal bite (23.19%) was reported in the age group of 10-19 years and the lowest one (2.32%) was reported in the age group of 0-4 years. The animal bite rates among men and women were 76% and 24%; respectively. The highest and lowest rates were found among students (23.5%) and employees (5.5%), respectively. Regarding the commonly injured organ, the highest (67%) and lowest rates (23%) were for lower extremities and head and face, respectively. Regarding the nationality of the victims, 98% were Iranians and the rest were Afghan. Conclusion: Given the increasing number of animal bites reported, there is a need to implement strategies to prevent bite-related complications, which may have health and financial burden on the country. It is also necessary to increase awareness among target groups and to formulate preventive strategies with the help of various authorities to control animal bites.
2
Effect of hydrophobic modification on the structure and rheology of aqueous and brine solutions of scleroglucan polymer

Maryam Bakhshi,Mozhdeh Ozeiri,Alireza Sharif,Jamal Aalaie 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.3
Amphiphilic scleroglucans were synthesized by grafting hydrophobic stearate groups in various densities onto the polysaccharide under its triple-helix conformation. Furthermore, a polyelectrolyte was obtained by attaching ionic-sulfonic groups to the hydrophobically modified scleroglucan. Rheological measurements demonstrated the role of grafted stearates in helix-coil transition of scleroglucan and in reducing the viscosity of scleroglucan in pure aqueous and brine solutions. Nevertheless, grafting the ionic-sulfonic groups caused a substantial recovery of the lost viscosity, especially in brine solution at 90 oC, while keeping the amphiphilic character of the hydrophobically modified scleroglucan. Additionally, the hydrophobic modification altered the adsorption behavior of scleroglucan on oil-reservoir rock surfaces: the higher the grafting density, the greater the adsorption amount. However, the polyelectrolyte sample showed the lowest adsorption among all modified samples. Finally, the modified scleroglucans are promising candidates for enhanced oil recovery applications.
3
A Stochastic Approach for Valuing Customers in Banking Industry: A Case Study

Hamid Bekamiri,Mohammad Mehraeen (Lagzian),Alireza Pooya,Hossein Sharif 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.4
- 원문보기
This study provides a stochastic dynamic programming model with a Markov chain that explicitly focuses on the customer as well as a new model for valuing the customers in the banking industry. The proposed framework calculates individual customer’s lifetime value dynamically. The study follows a stochastic dynamic programming model that is based on the Markov chain. The deduced findings are illustrated with supplementary context from an outstanding case study. The findings underline the importance of the stochastic model for calculating customer lifetime value based on customer behavior. The presented framework provides a beneficial way for future research and valuable insight for allocating promotional marketing strategies to customer groups. The presented framework provides a dynamic model for calculating the individual customer’s lifetime value. The main contribution of the study is the explicit calculation of individual customer’s lifetime value in the banking industry. Thus, this study provides a stochastic framework for customer segmentation and allocates appropriate marketing promotion strategies. Furthermore, the results of this study were supported by real customer data of one of the largest banks in the MENA region.