hamed amiri

The COVID-19 pandemic has had a devastating global impact, with millions of cases and varying severity of illness. Southeastern Iran has been particularly hard hit, with a high number of patients requiring hospitalization. This study aimed to identify risk factors associated with mortality from COVID-19 among hospitalized patients in this region.

A case-control study compared hospitalized COVID-19 patients who succumbed to the disease (confirmed by death certificates and positive PCR tests) with those who recovered, from February 27, 2020, to June 30, 2021. Researchers analyzed data using t-tests and chi-square tests to identify significant factors associated with mortality (p < 0.05). Variables significant at a less stringent level (p < 0.2) were then included in a backward logistic regression model to explore independent predictors of mortality.

This retrospective study examined data from 473 patients, of whom 158 were in the case group and 315 were in the control group. Among the case group, 80.4% were elderly, compared to 41% in the control group. A significantly higher proportion of patients in the case group (12.7%) experienced critical symptoms leading to ICU hospitalization, compared to the control group (7.3%). Multivariable regression analysis identified several factors significantly associated with increased mortality risk. These included ICU hospitalization (OR=5.27, CI: 3.09-8.98), advanced age (OR=4.06, CI: 2.43-6.80), hypertension (OR=4.44, CI: 1.52-12.93), cardiovascular diseases (OR=2.56, CI: 1.1-5.98), and critical symptoms (OR=2.74, CI: 1.92-8.04).  Diabetes, pregnancy, nationality, and gender did not statistically increase mortality risk (p-value ≥ 0.05).

Advanced age, severe symptoms requiring ICU care, hypertension, and cardiovascular diseases are all critical mortality risk factors in hospitalized COVID-19 patients.

In this paper, numerical simulation of ignition of fuel-air mixture in a cylinder of a v-type engine has been done by the method of computational fluid dynamics and premixed mixture. The premixed mixture consists of iso-octane and air with an equivalence ratio of 0.9. The existing simulation is performed using the finite volume method and combustion of the premixed mixture. Besides, the dynamic mesh in the piston motion is also used. In this regard, the trend of temperature and pressure changes with respect to the crank angle has been investigated. In order to validate, the results obtained by mixed mixture method were compared to that of a research engine. The simulation results show maximum error of only 2.2% when compared to the experimental results. Therefore, the proposed numerical method can be used in the design of spark ignition engines. In order to optimize the combustion and better spreading the flame front in the pent-roof type combustion chamber, the location of the spark plug has been investigated with several simulations at different spark locations. According to the data of pressure and temperature and either flame front contours and their comparison in different analyzes, the optimal range was achieved.

Due to the high productivity of tomato in three districts of Shiraz, Marvdasht and Kazeroun, the development of processing industries is necessary to prevent waste and market balance. Suitability analysis for processing industries leads to establishment based on ecological criteria.

To evaluate the ecological capabilityfor sustainable development a special model for assessing ecological capabilities was prepared. After collecting economic and social criteria and weighting the criteria using ENTROPY, prioritization and ranking of cities was done with VIKOR. Then, by overlapping the appropriate economic, social and ecological suitable areas for industrial development, the final suitable was identified.

Marvdasht and Shiraz are in the first and second priority of the development of tomato processing industries. In prioritizing between sectors, Zarghan and Seydan districts and the central part of Marvdasht city are in the priority of developing processing industries. The results showed that is Kazeroon district doesn’t have overall capabilities for development of tomato processing industries.

Entropy weighting showed that among economic and social parameters, industrial proximity is the most important. The results show the efficiency of multi-criteria decision models in evaluating economic and social indicators along with evaluating ecological capabilites. The use of specific models suitable for each region that assess ecological capability along with economic and social characteristics can reduce the risks of long-term management and decision-making.

Cogeneration energy systems are one of the most promising clean, efficient technologies for satisfying industrial energy needs. In this study, a cogeneration system consisting of a solid oxide fuel cell, a gasification unit, a gas turbine cycle, and a steam network module is proposed. This topping system is integrated with a steam network that provides steam for different utilities by recovering steam. Also, biomass –as renewable energy– is used to address the problems of fossil fuels, such as scarcity of resources and environmental issues. The system is evaluated from an energy perspective to ascertain the feasibility of the system. Based on the results, the efficiency attained from this system is 54.35%. An optimization study based on a genetic algorithm is performed to find the best conditions, which indicates an efficiency improvement to 65.06%. Moreover, a parametric study on different steam network pressure levels is taken place, which shows the importance of the VHP header on system performance.

Nowadays, conventional farming has resulted in many negative foot prints such as groundwater Pollution, soil erosion, and decreasing food quality, therefor using alternative management methods, such as organic and integrated farming are necessary for crops sustainable production. Application of organic fertilizers (manure) and zeolite could improve crop yield by supplying nutrients and modifying soil physical, chemical, and biological properties. Due to the importance of soybean (Glycine max L.), this research was aimed to evaluate the effect of organic, chemical and integrated nutrient resources along with zeolte apllication on yield and quality traits of two soybean cultivares.

To investigate the effect of chemical and biological fertilizers and application of zeolite on seme quantitive and quality traits of two soybean cultivars, a factorial experiment based on the randomized complete block design with three replications was conducted at a field which is located at Aleshtar in 2014 and 2015. The factors were consisted of two soybean cultivars (M7 and M9) and five fertilizer systems (100% organic fertilizer, 100% chemical fertilizer, 50% organic plus 50% chemical fertilizer, 25% organic plus 75% chemical fertilizer, 75% organic plus 25% chemical fertilizer) and four zeolite rates ( 0, 4, 8 and 12 tons ha-1). The rate for 100% manure was 22.6 and 26.7 ton ha-1 and for 100% chemical fertilizer was 241 and 247 kg N ha-1 in the first and second season, respectively.

The highest seed yield of M7 cultivar in the first year (2896 kg ha-1) and the second year (2971) was obtanid under integrated fertilizer systems of 75 organic manure+25%chemical fertilizer along with high zeolite rate (12 ton ha-1) and the lowest seed yield was achieved at chemical fertilizer without apllication of zeolite. 75% organic fertilizer + 25% urea with 12 ton zeolite ha-1and 50%, urea + 50% organic fertilizer with 6 ton zeolite ha-1 combinations led to the highest seed oil yield for M7 and M9 cultivars, respectively, while the lowest values in M7 and M9 cultivars were achieved at 100% urea fertilizer and 50%, urea + 50% organic fertilizer treatments without zeolite application (Z1), respectively. The increasing zeolite rate improved both qualitative and quantitative traits in two cultivars, as, increasing the zeolite from 0 to 12 ton ha-1 rose M7 seed yield by 55, 73 and 66% in F2, 100% urea, F4, 75% urea + 25% cattle manure and 75% cattle manure + 25% urea treatments, respectively. Also, adding zeolite amendment improved both oil and protein yield of cultivars.

Since the integrated nutrition manegment of 75% organic manure+25% chemichal resulted in reduced chemical fertilizers as well as increased yield and quality of two cultivars, this tratments could be considered as asuitable nutrient manegment method for soybean production in this area. Also, due to higher yield and better qulitve properties of M7 cultivar than M9 cultivar, it would ne considered as a proper cultivar in this area.

Land use planning and appropriate use of regional environmental characteristics are principles of sustainable development. Due to the overpopulation, changing land use is high in Marvdasht region. The aim of this study is to make the comparison between the land use and preparing planning map of this region. This research is descriptive-analytic and library study, questionnaires and surveys and field observations have been used to collect data. Data analysis was performed with software ArcGis 9.3. Comparison of the potential regional land use through overlaying different layers was done by using Makhdoom model and GIS quantitative planning to prepare regional land use map. It should be mentioned that not tangible modifications in are done in the preparation of environmental units and current land use map. Results show that the first priority (sum of scenarios) is irrigation agriculture and then ecotourism and the only current land use is allocated to the industry, urban and rural (0.4%) development. Also, utilization of irrigation agriculture (40%) and protection (1.47%) are less than the optimum environmental capability of the region and utilization of forestry (22%) and pasturage (32%) are more than the environmental capability.

In the knowledge-based era, leading organizations are trying to provide required infrastructure for the successful implementation of knowledge management and encourage their personnel to actively participate in knowledge management processes and help in organizational knowledge creation and sharing. One of the enabling infrastructures is human capital that has become one of the most valuable and intangible assets. In this regard, the central question addressed in this study is that how human capital can help to develop organizational knowledge creation. To this end, the effect of four dimensions of human capital (expertise, skills, experience and education) on organizational knowledge creation capacity will be evaluated. The research method is descriptive and correlational. The statistical population consisted of 950 managers and experts of a service organization in Tehran, that 274 subjects were selected as sample using random sampling. Results show that all examined dimensions of human capital have a positive and significant effect on organizational knowledge creation capacity. On this basis, recommendations will be presented to managers and researchers.

The role of human element in quality of service in service organizations makes emotional inteligence an influential factor of employees performance. Accordingly, The research examined the relationship between emotional intelligence and organizational effectiveness in Tehran's Saderad bank. This study is an applied, quantitative and descriptive reserch.The population of interest consisted of managers and employees of 12 scope of the Bank Saderat in Tehran. Stratified random sampling method is used for sampling. Data collection tool was standardized questionnaires of emotional intelligence and organizational effectiveness.Data were analyzed through Pearson and also linear regression.The results show that there is a significant relationship between the dimensions of emotional intelligence and organizational effectiveness. Accordingly, The promotion of emotional intelligence of the bank's employees can assist to improve its organizational effectiveness.

Cumulating evidence points to a key role for CD8+ T cells in the pathogenesis of multiple sclerosis.CD8 expression level was believed to be present constantly on the surface of human peripheral blood T cells. However, it was shown that peripheral blood lymphocytes may be divided by the level of CD8 expression, into CD8+high and CD8+low T cells. Now it is well established that the CD8low population of CD8+ T cells demonstrates an activated effector phenotype while the CD8+high T cells have been reported to have regulatory function.In this report we used a flow cytometric assay to compare the frequency of these two subsets in multiple sclerosis patients (n=31) with healthy age- and gender-matched controls (n=18).We found that CD8+ T cells and CD8+low T cells significantly increased in secondary progressive (SP) and primary progressive multiple sclerosis (PPMS) patients in comparison to controls (p<0.0002 and p<0.004 respectively) and also RRMS (p<0.005 and p<0.017 respectively).These results demonstrated the role of CD8low T cells in progressive form of multiple sclerosis.