فهرست مطالب hossein firouzi

This paper presents a multi-objective mathematical model for the reverse supply chain of hospital waste management in Iran during the COVID-19 pandemic, incorporating dimensions of sustainability. The objectives of the model are as follows: 1) Minimizing the costs associated with building facilities and waste treatment centers, vehicle fuel costs, and environmental costs due to pollutant emissions; 2) Maximizing the energy generated from the waste combustion process; 3) Minimizing the risk of virus transmission resulting from inadequate waste management; and 4) Maximizing the number of job opportunities in the established centers. It is important to note that existing uncertainties are addressed through the application of fuzzy set theory. Given the multi-objective nature of the model, two multi-objective algorithms, namely the Pareto archive-based Krill Herd Algorithm and Non-dominated Sorting Genetic Algorithm II (NSGA-II), are employed to solve the defined problem. The results indicate that the proposed Krill Herd Algorithm converges to a solution with higher quality and dispersion compared to NSGA-II. Additionally, through a comparison of the spacing index and running time of the two algorithms, it is observed that NSGA-II explores the solution space with higher uniformity and solves the model in less time.

One of the most important problems for distribution companies (especially large online stores) is the design of docking stations, vehicle routing, and supply chain optimization. In this research, the distribution centers of Digi kala online store have been located. A multi-objective location-routing problem has been developed by meta-heuristic methods considering the principle of stability and time constraints. Based on the results of the proposed model, the effect of demand on the three objectives of time, cost, and environmental and social issues was investigated and it was shown that if demand increases, there will be a greater effect on time. In other words, increasing demand can create gaps that result in increased delivery time, and therefore this can lead to customer dissatisfaction in the long run. Increasing employment also leads to better environmental issues, but has no effect on cost or time. Also, the cost of transporting goods has no effect on environmental issues and time, but leads to increased costs.

This study aimed to assess cutoff of ferritin for evaluation of osteoporosis in patients with Thalassemia Major (TM).

This analytic cross-sectional study was conducted in17 Shahrivar children's hospital, Rasht, Iran, from November 2017 to November 2018. The inclusion criteria were indicated as the presence of  TM in patients aged 12-19 years old with records of their regular visits. The exclusion criteria were noted as the presence of any chronic bone diseases such as osteomalacia or osteogenesis imperfecta, delayed puberty, hypothyroidism, parathyroid dysfunction, renal failure, liver failure, and growth hormone deficiency. Ferritin level was assessed, and bone densitometry was performed for all patients with TM.

In this study, 53 females (54.6%) and 44 males (43.4%) were enrolled. Results showed that 36 (37.1%), 49 (50.5%), and 12 (12.4%) patients had a normal bone density, osteopenia, and osteoporosis, respectively. Comparing these three groups showed that despite higher mean serum level of ferritin in TM patients with osteoporosis than patients with osteopenia and normal bone density, no significant statistical difference was noted in these three groups (P >0.05). Besides, the mean ferritin level in patients with abnormal bone densitometry (osteopenia and osteoporosis) was higher than in patients with normal ones. A significant difference was noted between abnormal and normal densitometries (p=0.03). The Area under the Curve for ferritin was 0.708, and the cutoff point was indicated for ferritin was 2006 ng/ml.

  Regarding the results, there was a high frequency of osteoporosis and osteopenia in teenagers with TM. As bone density abnormality formation is time-consuming, and prevention is the primary strategy for management, it is highly recommended to assess bone mineral density regularly starting from early childhood.

The overall purpose of this study is non-systematic volatility, returns and incorrect stock pricing. The spatial scope of this research was the companies listed on the Tehran Stock Exchange and the time domain was between 2011 and 2016. According to the systematic elimination method, 130 companies were selected as the research sample. Analysis of variance, F-Limer, Hausman and Lane-Levin tests were used as pretest and regression tests as post-test to confirm and reject the research hypotheses. The software used in this research for data analysis is Ives 8 software. The results showed that there is an inverse relationship between unsystematic risk and stock returns. Overpricing affects the relationship between unsystematic risk and stock returns. Kemner overpricing affects the relationship between unsystematic risk and stock returns.

Clinical education plays a fundamental role in shaping medical students’ basic skills and professional abilities, so understanding its current status can help us provide a platform for improving their performance in the future. The present study was conducted to identify the cognitive factors affecting clinical education quality at the Ramsar campus.

The present research was a cross-sectional descriptive study of 181 cases in 2019. Sampling was performed by census method. Data were collected by a researcher-made questionnaire that included demographic information plus studentschr('39') and professorschr('39') viewpoints on clinical education. Collected data were analyzed using descriptive statistics, chi-square and independent t-test in SPSS-18.

In this study, 69.23% of the students were female and 46% of the professors were male. Also, 80% of teachers and 50.64% were married. There was a significant relationship between the test’s assumptions, which includes the individual characteristics of the subject, the individual characteristics of the teacher, the clinical environment, educational planning, and the clinical evaluation variable (P<0.05).

According to the findings, accurate and concise implementation of the existing curriculum, providing an appropriate educational environment and awaking professors, and hospital personnel about their responsibility regarding students and their duties can improve the quality of clinical education.

Abnormal uterine bleeding (AUB) is a disorder which adversely influences the social status and level of satisfaction in women with reproductive ages. Improving health-related quality of life (HRQL) is a precious goal in the treatment of AUB. The aim of this study was to evaluate the QOL in patients with AUB and the affecting factors. More precisely, this study attempted to assess which different aspects of QOL may be influenced by AUB.

This cross-sectional study was performed on 152 women with AUB refereeing to our gynecology and obstetrics department of a tertiary center in Semnan, Iran in 2015-2016. The QOL was investigated in these women using Clinical History Assessment Tool (CHAT) and SF-36. Finally, the data were analyzed in SPSS-21 software and after performing Fisher exact test and K2 test, P<0.05 was considered to be significant.

In general, 152 patients were enrolled in our study. The results suggested that the QOL and level of life satisfaction were not changed according to the age, gender, matrimonial status, place of residence, occupation, education, body mass index, or the hemoglobin level in this group. However, menorrhagia significantly affected the dimensions of physical functioning, vitality and dynamism, social functioning, and pain and general health perception.

Overall, women with AUB, especially those with menorrhagia, have extremely lower QOL than the others. By recognizing all contributing factors to the QOL in such women, it can be possible for gynecologists to help the women improve their diary functions and comfort levels. Nonetheless, more studies seem to be needed to evaluate these factors.

Among the most common causes of death in preterm infants are neonatal infections, which remain high despite antibiotic therapy and preservative measures. The control of hospital infections is now a global priority, and many factors contribute to the spread of these infections. This study aimed to determine the frequency of bacterial infections in neonates and identify the common causes of infection in neonates admitted to the neonatal intensive care unit (NICU) of Alzahra Hospital in Isfahan, Iran.
In this cross-sectional study, the population consisted of all neonates who were admitted to the NICU of Al-Zahra Hospital in Isfahan, Iran, from April 2017 to March 2018. Neonates who had a positive culture (blood, cerebrospinal fluid, urine, eye discharge, and tracheal tube secretions) were enrolled. The data were collected by a structured questionnaire, including maternal and neonatal information.
In this study, 56 newborns admitted to the NICU of Alzahra Hospital in Isfahan were studied. Their age range was within 5-28 days (18.88±8.41). Thirty-two (57.1%) neonates were male, and 24 (42.9%) newborns were female. In total, 26 (46.4%) neonates had prematurity that was the most common reason for hospitalization. The most isolated microorganisms were Staphylococcus epidermidis, Enterococcus, Klebsiella, Enterobacteriaceae, Candida spp., Acinetobacter, Streptococcus pneumoniae, E. coli, and Streptococcus viridans, respectively.
According to the results of this study, the frequency of nosocomial infections in the NICU of Alzahra Hospital in Isfahan was 7.4%. The findings of this study highlighted the importance of paying more attention to controlling and preventing hospital infections in NICUs.

Transportation system brings the problem of vehicle routing that seeks optimal allocation of customers to vehicles in distribution system. There are various types of vehicle routing problems that try to provide models that are closer to the real world constraints by considering limitations such as vehicle capacity, number of demands, distance and so forth. The transportation network of Digikala Company inside and between cities is complicated based on the number of available routes, variety of means of transport and multiple distribution centers in the provincial areas. Digikala's distribution network is not only a geometric representation of the transport routes, but also represents the transport system. In this research, studying variables of shipping these goods has been considered, firstly, to identify a mathematical model for the distribution of these goods and then to examine how to solve this mathematical model, which is estimative and accurate. We solved this problem after examining and proving the model solution through approximate ways using meta-heuristic method which gives us the closest answers in NP-hard problems. Finally, while coding in small-scale Matlab software, we study the distribution model of the company and obtain the required output by proving the downward trend of the final function. The study confirms that online store companies can design, optimize, and manage complex supply chain operations at different levels with the help of Genetic Algorithm