mohammad ranjbar

The aim of processing iron ore in processing plants is to achieve a product with an appropriate grade and maximum iron recovery. The amount of iron recovery in processing systems depends on several parameters, and its determination through weighing and laboratory tests is time-consuming and costly. With the development of the use of artificial intelligence for predicting and optimizing the performance of industrial systems, it seems that this technology could address many of the issues faced in mineral processing industries, including iron ore processing plants. Therefore, the objective of this research is to assess the feasibility of using artificial intelligence to predict iron recovery based on iron (Fe) and iron oxide (FeO) grades as the first step towards developing the application of this technology in the mining industry.

 For this study, daily data on the Fe and FeO grades in the feed as well as iron recovery from the Central Iron Ore Concentrate Plant, which includes two production lines (Choghart and Sechahun), were collected. Iron recovery modeling was performed using two neural network models: MLP (Multilayer Perceptron Neural Network) and CFNN (Cascade Forward Neural Network). In this modeling, the Fe and FeO grades of the feed were treated as the model inputs, while iron recovery was considered the output.

The results showed that both models performed relatively similarly, but CFNN exhibited better statistical parameters. The R² value for the CFNN model was obtained as 0.831 for the Choghart production line and 0.837 for the Sechahun line, while the RMSE for these models was calculated as 1.655 and 1.823, respectively. The analysis indicated that the CFNN model could confidently predict iron recovery with a relative error of less than 5% at a 95% confidence level for both production lines.

Using Fe and FeO grades alone as inputs for the models cannot lead to a comprehensive model that can replace conventional calculations. Therefore, the influence of other effective parameters will be thoroughly identified in this study. Additionally, sensitivity analysis revealed a direct relationship between iron recovery and both input parameters, with the Fe grade having a greater impact on iron recovery. The results of this study show that using artificial intelligence to predict iron recovery is very promising. By increasing model accuracy through the addition of data and input parameters, it is possible to develop models that can reduce the costs and time required for grade assessment in the plant.

Moral intelligence in nurses is of particular importance due to the human and moral nature of their job and profession. Moral intelligence can provide a rule for the correct functioning of humans and is considered a predictive factor of behavior. The moral intelligence of nurses refers to their ability to distinguish right from wrong and adhere to ethical principles. Nurses with higher moral intelligence show more commitment to patient safety and adherence to professional protocols and have a more positive attitude toward patient safety. The purpose of this study was to investigate the relationship between moral intelligence and attitude towards patient safety in nurses working at Shahid Sadoughi Teaching Hospital in Yazd in 2023.

The present study was a descriptive-analytical one conducted cross-sectionally in 2023. The statistical population included 237 nurses working in Shahid Sadoughi Teaching Hospital, Yazd, who were selected by stratified random sampling. Two standard questionnaires with a 5-point Likert scale were used to collect data. Data were analyzed by SPSS24 using descriptive statistics, one-way analysis of variance and Pearson's correlation coefficient.

The average moral intelligence of the studied nurses was 135.22 ± 22.30, and the average attitude of the nurses towards patient safety was 72.65 ± 17.32, indicating high moral intelligence and an average attitude towards patients safety in nurses in Shahid Sadoughi University. The results of Pearson's correlation coefficient showed that there is a positive and significant correlation between moral intelligence and nurses' attitude towards patient safety (r = 0.19, p = 0.003).

Moral intelligence plays a role in predicting nurses' attitude towards patient safety; therefore, it seems that by strengthening the moral intelligence of nurses, their attitude towards patient safety can be influenced. To strengthen the moral intelligence of nurses and improve their attitude towards patient safety, professional ethics training, development of critical thinking skills and creation of ethical organizational culture can be used. Also, holding workshops to discuss ethical issues and support from ethical management can strengthen nurses in making ethical decisions and more responsible behavior in the field of patient safety.

Current health insurance programs in Iran suffer from low enrolment and are not sufficient to attain the country to universal health coverage (UHC). The study hypothesized that improving the enrollment rate and moving towards more sustainable UHC can be achieved by improving the benefit package and providing new incentives. The objective of this study is to assess public preferences and willingness to pay (WTP) for social health insurance (SHI) in Iran.

A discrete choice experiment (DCE) was conducted in 2022, using a self-administered questionnaire on 500 participants to estimate WTP and determine individual’s preferences for the SHI plan. Respondents were presented with an eight choice set, and asked to select their preferred one. In each choice set, scenarios were described by eight attributes with varying levels. The conditional logit regression model was used to analyze the participants preferences. WTP for each attribute was also calculated by STATA13.

Most of the included attributes were significant predictors of health insurance package selection. The maximum coverage of hospitalization costs in the private sector, ancillary services such as glasses, canes etc., as well as coverage for hospitalization costs in the public sector and drug costs, were the most important determining factors for this choice. Coverage of preventive dental care did not significantly affect respondent choices. Estimating WTP showed that individuals are willing to pay more for higher financial protection, particularly against private sector costs; the WTP to increase the coverage of hospitalization costs in the private sector from 50% to 90% is estimated at 362,068 IR, Rials per month.

This study identifies the key factors that the population value with regard to health insurance and the tradeoffs they are willing to make between them. Hospitalization, drugs and ancillary services were the most important determining factors for their choice. The data suggests that additional resources coming into the Iranian health system might best be prioritized to covering hospitalization and drug costs and those associated with ancillary services.

The banking industry is essential in any country and is responsible for financing micro and macro projects. The management of banks in this industry has changed, and new methods are used. Banks’ view of customers has also changed, and paying attention to strategic foresight plays a vital role in the success of the banking system. Therefore, this study aimed to provide a model for strategic foresight in the private banking industry of the country. The participants were selected from university professors, officials, and policymakers of the banking system in the country, and 17 people were chosen as samples. The qualitative data analysis method was Grounded theory, which was implemented in three stages: open coding, central coding, and selective coding. Finally, 56 repetitive codes were identified, and then in the axial coding stage, 20 concepts emerged, which were placed in six sections (categories), and the research paradigm model was presented. Then, the Delphi method was used for validation, which showed that the identified criteria of the model were valid.

the shell and tube heat exchanger with the percentage of baffle cutting and the number of different tube passes in four different modes (use of water fluid on the shell side and tube containing supercritical carbon dioxide gas without the presence of turbulator, use of water fluid on the shell side and tube containing supercritical carbon dioxide gas with the presence of turbulator, the use of water-aluminum oxide nanofluid on the side of the shell and tube containing supercritical carbon dioxide gas without the presence of turbulator and also the use of water-aluminum oxide nanofluid on the side of the shell and tube containing supercritical carbon dioxide gas with the presence of an turbulator) are studied using HTRI software. The results show that the highest value of the heat transfer coefficient on the shell side and, as a result, the appropriate thermal efficiency is related to the case where the baffle cut is 30%. On the other hand, with the increase in nanofluid concentration, the pressure drop on the shell side increases from 4.48 to 5.66%. the results show that the use of a microfin turbulator is more suitable than a twisted tape turbulator and the use of a microfin turbulator increases the heat transfer coefficient on the shell side by 5.76 to 12.77% compared to the use of a twisted tape turbulator. Also, it increases the heat transfer coefficient of the pipe side by 62 and 78% on average, respectively, compared to the case without the turbulator.

The reduction of hospital admissions, emergency visits, and urgent surgeries during the COVID-19 pandemic were reported in various countries. The present study aimed to evaluate these changes in Iran.

A retrospective study of regional secondary utilization and mortality data from multiple official sources was performed.  The data were collected from hospitals located in the center of Iran (Yazd) between March 1st, 2020 (before COVID-19) and February 30th, 2021 (after COVID-19). The data were analyzed using Microsoft Excel® and SPSS24 The Mann-Whitney test was utilized to compare the variables’ changes before and after COVID-19 pandemic. Spearman's correlation coefficient was used to evaluate the connection between non-COVID-19 mortality and the quantity of urgent surgeries conducted in hospitals.

The percentage changes in hospital admissions, emergency department visits, and urgent surgeries following COVID-19 were 33.7%, 39%, and 23%, respectively. The correlation between the number of urgent surgeries and the non-COVID-19 mortality during the pandemic was negative(r=-0.9).

Our results provide empirical support for concerns about the widespread public health impact of the COVID-19 pandemic. The development of novel technologies including telemedicine, consultations and online visits, as well as the use of remote monitoring technology could lead to improved access to health care during a pandemic, particularly for vulnerable populations.

Mineralogy and chemical composition are the main indicators for selecting operational parameters for copper leaching from mineral resources and smelting furnace dust. The main goal of this research is to evaluate the dust composition of chalcopyrite concentrate smelting furnaces to improve copper leaching efficiency. In this regard, for four months, samples were taken daily from the dust of the smelting furnaces of Sarcheshme copper complex. Using X-ray diffraction analysis, X-ray fluorescence spectroscopy, scanning electron microscopy with energy dispersive spectroscopy, and reflective light microscopy, the composition of the samples was determined, and leaching tests were designed and implemented to determine the main operational parameters.The results of this study showed that the grain size distribution of the samples did not change significantly during the sampling period, but the amount of some elements such as arsenic was variable and fluctuated between 0.17 and 3.90%. The changes of copper and iron were also about 2%. The results of leaching tests of flash furnace dust showed that the solid percentage, acid concentration and temperature are the most important operating parameters. Under the optimal operating conditions, about 65% of copper is dissolved without the use of an oxidizer within a maximum of 60 minutes. By using a two-stage electrochemical process, the conditions for extracting more than 95% of copper from flash furnace dust are provided.

 Infertility is one of the critical health issues in Iran. There are more than 70 specialized infertility treatment centers in Iran, of which the Yazd Reproductive Sciences Institute, is one of the most important ones.

 This study aimed to determine the factors influencing infertile couples' choice of Yazd Reproductive Sciences Institute.

 This cross-sectional study was conducted on 275 infertile couples aged 18 and older, referring to Yazd Reproductive Sciences Institute, Yazd, Iran from September 2021 to March 2022. Data were gathered using a 2-part questionnaire. Data analysis was done through SPSS software. We used descriptive statistics, Kruskal-Wallis, Mann-Whitney, and t test for data analysis.

 Most participants were individuals who came from other provinces of Iran (74.9%) and were referred to the Yazd Reproductive Sciences Institute. Among the 4 categories that influenced couples' decision to choose this center, factors related to the personnel and treatment staff received the highest score (75.83), while personal factors received the lowest score (65.76). The average score for factors related to doctors was 72.90, and for factors related to the center, it was 73.65. The satisfaction with personnel and treatment staff varied based on participants' education levels, with those who had lower levels of education reporting higher levels of satisfaction (p < 0.001).

 The primary factors contributing to the success of the Yazd Reproductive Sciences Institute in attracting clients were the dedication and expertise of the staff, as well as the esteemed reputation of the doctors at the center.

Individualized care is a concept that describes personal characteristics of patients in clinical conditions, their personal life situation, and their preferences in order to promote participation in decision-making. The purpose of this study was to validate the Persian version of the Suhanen et al.'s (2005) individualized care scale.

This cross-sectional study was conducted in 2019. Initially, the individualized care scale of Suhanen et al (2005) was translated in forward-backward way with 19 items and on a 5-point Likert scale (1 = completely disagree, 2 = disagree, 3 = no opinion, 4 = agree, 5 = completely agree). Content and face validity were then assessed using the opinions of 10 health management professionals (majors of health care management, health policy and health economics) Internal reliability of the questionnaire was assessed using the opinions of 20 patients admitted to gynecology, internal medicine and surgery wards of Yazd 3 teaching hospitals, and Cronbach's alpha coefficient (0.93) was calculated using SPSS 20 software.

The results of content validity calculation showed that all items of the current questionnaire had acceptable Content Validity Ratio, and the Content Validity Index was 0.73 for this questionnaire. Face validity analysis also demonstrated that all experts approved the questionnaire items. Cronbach's alpha coefficient for the whole questionnaire was 0.93, and for "clinical status", "personal life situation" and "decision-making control over care," was 0.90, 0.87 and 0.90 respectively; the values were acceptable, and the reliability of the questionnaire was confirmed; none of the items were removed.

The questionnaire can be used as a credible and valuable tool for assessing individualized patient care.

Self-medication is one of the main socioeconomic and health problems in different societies and irrational drug consumption can sometimes lead to unfavorable outcomes and even death. The present study has been performed to investigate self-medication and its relevant factors in students of Shahid Sadoughi University of Medical Sciences in Yazd.

This analytical study investigate 300 students of Shahid Sadoughi University of Medical Sciences Using Cochran's formula in Yazd (2020). The samples were selected by stratified sampling proportional to the strata size and the data were collected by a researcher-made questionnaire from Gholipoor etal's article (2012) and analyzed by descriptive statistics such as frequency, percentage, mean ± SD and multiple response analysis (MRA), chi-square and binary logistic regression. All statistical analyses were done by SPSS 20 (α=0.05).

The total self-medication rate was estimated 39%. The most common causes of self-medication among the students were the experience of the disease (50.4%) and considering the disease non-risky (47.0%).The most common self-medication case was cold (53.0%) and the most common way of supplying the drug for self-medication was purchasing from drugstores (52.1%).The results of multiple logistic regression showed that the only variable having a significant effect on the probability of self-medication was income (p = 0.02); odds of self-medication in students with an average income of 20-30 million Rials was about twice as high as students with an income of more than 30 million Rials (p = 0.02, OR = 1.8).

Self-medication is not a safe habit and it can cause complications such as drug interaction, addiction, drug poisoning, concealment of the disease and in general, health risks. Meanwhile, the students’ attitude towards
self-medication can affect the behavior of their future patients. So, it is suggested to inform students in this area.

Produced water is the largest waste stream in the oil and gas industry. It is a mixture of inorganic and organic pollutants. The harmful effects of discharging untreated produced water on the environment and public health is a challenging concern. Nowadays, the integration of advanced oxidation process and biological treatment is of interest to the researchers. Investigating the relationship between AOP pretreated effluent and subsequent bioreactor performance can help to optimize these systems. In this research, biological treatment was first examined without pretreatment, and it was found that biological degradation alone is incapable of treating the sample, so the integrated method of electro fenton-biological treatment was studied. Electro fenton performed the pretreatment and bioreactor did the final treatment. Synthesized MCNT-Ce/WO3/GF cathode and the MWCNT/GO/Fe3O4 heterogeneous catalyst were used in the electro fenton process. BTEX removal test - as a produced water simulant - was done using aerobic granules bioreactor, electro fenton and their combination, respectively. After optimizing the pH and time variables, in order to study the interactive effects of temperature, catalyst load, applied current and electrodes distance, a Box-Behnken experimental design and response surface methodology were used to optimize the performance of proposed system. The experiment carried out in the calculated optimal conditions for the electro-fenton degradation process (temperature 30 °C, catalyst load 250 mg/L, current density 170 mA/m2 and electrode distance 1.5 cm). The BOD/COD ratio and COD removal was found to be 0.41 and 56.5%, respectively. In these conditions, effluent entered the granular bioreactor and the final COD removal of the sample was done up to 94%. Real produced water was fed into the electro-fenton reactor and its effluent was introduced to the aerobic granular bioreactor, results showed that integrated electro fenton-bioreactor removes organic pollutants up to 92.7± 0.2% and keeps the characteristics of the treated produced water within the environmental standard range.

The COVID‑19 pandemic has created several challenges for countries all over the world. Different countries have taken different measures to fight this pandemic and reduce its challenges depending on their cultural, economic, and social structures. This study aims to understand and explain the Iranian health system’s response to fighting the COVID‑19 pandemic from the managers’ and authorities’ perspective.

This study is a basic applied research performed under a qualitative approach. In the survey, 30 experts including the managers of health centers and deputies and heads of the Ministry of Health and Medical Education and Medical Universities were selected by purposive snowball sampling and participated in semi‑structured interviews from March to May 2020. The researchers explained the actions of the Iranian health system in fighting the COVID‑19 pandemic in 2020 by content analysis.

As a result, 14 subthemes were found and classified into four major themes, including the informative and regulative actions (two subthemes), administrative and supportive actions (six subthemes), preventive and curative actions (three subthemes), and resource‑related actions (three subthemes).

Due to its strong health structures, such as urban and rural health networks, various general and specialized hospitals, experienced doctors, and committed health staff, Iran has taken practical actions in fighting the COVID‑19 pandemic. However, the findings of this study and its relevant measures can help combat this pandemic in countries with similar social and cultural structures or counter future similar crises.

Document and comprehensive health plan was compiled with the focus of the province's Health and Food Security High Council and the participation of public institutions and organizations in a five-year period. Therefore, this study conducted based on systemic view to deal with the analysis and implementation of the document.

This qualitative study was conducted in 2022 with content analysis method in Yazd province, Iran. This study included the evaluation of the progress of the province's comprehensive health plan with the aim of identifying the province's health problems and solutions and providing suggested interventions for the next 5 years. Participants were selected purposefully using the snowball approach. The data was collected via semi -structured interviews. After conducting 25 interviews with managers and experts, the data saturation was achieved. The data was analyzed using qualitative MAXQDA12 Software.

The content of the interviews was categorized into 8 main categories and 44 subcategories. The common problems of the province in the ten priorities as well as the proposed interventions for the better implementation of the compiled document were identified according to the role of each executive body.

Reforming the governance system is one of the key prerequisites for the implementation of the comprehensive provincial health plan of the Yazd Province, Iran. The implementation of the document requires the establishment of an expert team that is exclusively focused on the implementation of the document and with sufficient authority to monitor and evolution the performance.

Primary healthcare facilities are essential to provide healthcare to individuals and the society closer to home. Fast, timely, and affordable access to these centers is important in each society. This is especially crucial to prevent and control the epidemics of non-communicable diseases that are highly affecting populations in urban settings. This study aimed to assess spatial accessibility to primary healthcare facilities in Yazd city (Iran), using a Geographic Information System (GIS).

In this descriptive-analytical study, which was conducted cross-sectionally in 2022, locational information related to primary healthcare centers, population distribution, and urban zoning of Yazd city were collected and recorded in Excel format. Then, distribution maps of each of the studied uses were determined. Then, the existing indicators and standards regarding the uses were determined through documentary studies, and a geographic database was formed through the GIS software collection. Data were analyzed using indicators and models such as hot spot analysis, Thiessen's polygons algorithm, access model based on the two-step floating catchment area, and the average distance model of the nearest neighbor.

The results indicated that the comprehensive health centers in Yazd city are located next to each other with a scattered distribution pattern, and are away from each other by an average distance of 1131 meters. Also, the distance of urban health posts from each other is 1045 meters on average, and are randomly located next to each other. The main concentration of the distribution of primary health care facilities is observed in the central and traditional regions of the city, which, according to the hot spot analysis, are among the cold and low population density spots. In addition, the access score of the regions indicates that the distribution of these facilities is not according to the population density, and the highest functional pressure of comprehensive health centers as well as urbun health posts is observed in the regions where there is the least access to these facilities.

There is a disparity between the distribution of primary healthcare facilities and population density in Yazd city, Iran. This study provides significant evidence to local health policymakers and urban planners to design more efficient actions related to equal development of health infrastructure by using the GIS.

Health Sector Evolution Plan (HSEP) is regarded as one of the most dominantreforms in the health system in Iran. This study aimed to review the agenda setting of Outof-Pocket Payment (OOP) reduction in HSEP plan by using the multiple streams Kingdon’smodel. This is a qualitative study conducted through ten semi-structured interviews.Sampling was purposeful and continued until reaching data saturation based on snowballsampling method. To formulate a theoretical structure and review the potential explanations,we used the framework analysis. A higher proportion of growth in OOP expenditures and catastrophic health costsamong Iranian population in the years 2002-2012 was identified as the Problem stream.Emphasis on establishing an equitable financing system to reduce the problems of gettingaccess to health services based on population health needs led to the Policy stream whichhas been considerably supported by the Islamic Consultative Assembly and Iran Ministry ofHealth and Medical Education. Such supports were made possible by approving the budgetin 2014 and allocating appropriate resources (Political stream). By examining the method of setting the policy of OOP reduction as agenda, wecan make a precise analysis of the basis of this policy, and by emphasizing these three streamsin order to introduce corrective policies, we can improved it, if necessary.

 Based on predictions by the World Tourism Organization, the future of the world economy and international trade market will be dominated by the tourism industry, especially between 2020 and 2030.  Medical tourism, as a fast-growing and accelerating industry, will be a major contribution to the future of the tourism industry. This study was conducted with the aim of morphological analysis of the factors and key uncertainties affecting medical tourism in Yazd, Iran.

 The present study identified the key factors and uncertainties of medical tourism in Yazd using a mixture of qualitative and quantitative methods. The research sample included 24 experts selected using purposive sampling method. The data collection instruments were interview and a questionnaire. Qualitative content analysis and morphological analysis were used to analyze the data through SPSS21.

 After analyzing the interviews, 19 themes for capacities and 23 themes for obstacles were extracted. Then, 41 factors, prioritized based on two criteria of importance and uncertainty, were identified using Likert scale. In the second stage, 9 out of 41 factors that had more uncertainty and served as drivers were determined by experts.

 According to the results, it is recommended that a comprehensive medical tourism Plan should be prepared for Yazd province based on the drivers identified in this study and introduce the medical tourism capacities in Yazd to the target countries.

Considering that housing, as the ossification of the rural body, plays an essential role in shaping the physical structure and identity of rural architecture, Its physical properties and structures play an important role in the level of spatial vulnerability of rural settlements because Iran is located in the main axis of the world earthquake belt and the consequences of a possible earthquake are extensive and pervasive according to the countrychr('39')s housing conditions. And in the destruction of rural housing in Iran in the face of natural disasters, earthquakes and floods in terms of extent, dispersion and density per unit time have a more effective role and Mallard city in Tehran province is one of the cities vulnerable to earthquakes in 1396 earthquake in this The city happened and some villages suffered material damage. Considering the above, the existence of housing poverty in rural areas of developing countries, including the country, today, improving and renovating these houses to give villagers access to better health and well-being, has become one of the most important improvement policies. One of the most important programs implemented in the field of housing improvement and modernization in developing countries is the approach to granting credit. The present study was conducted to investigate the status of rural housing improvement credits in Mallard County. The present research is descriptive-analytical and in terms of method is survey research. In the present article, by studying and reviewing the research literature, indicators and indicators that explain the subject were extracted and were compiled in the form of a questionnaire with a 5-point Likert scale. The statistical population studied in this study includes families living in the villages of Mallard County, officials of institutions and institutions related to the subject of the study. It is worth mentioning. In Mallard County, there are 62 inhabited villages and 1428 households benefiting from housing improvement credits, of which 302 households have been selected as a sample and a survey has been conducted with the heads of these households. In a part of the present study, a sample population of experts, professors and doctoral students in the field of geography and rural planning (20 people) was used to conduct a survey to determine the effective components on achieving a sustainable policy model of housing improvement credits. In the data analysis stage, two softwares, SPSS 1, Expert Choice and EXCEL, were used. The models used in the research are t-test, network analysis and Goler matrix. According to the field studies conducted in Mallard County, it was determined by the studied samples that despite the positive results of these credits, but in this regard, there are obstacles and problems that prevent the realization of a sustainable model in relation to housing improvement credits in the county. And has become nationally large. The results of the studies showed that most of the studied variables are far from the ideal state, And most of the villagers are determined from the administrative processes and especially the issue of providing a guarantor for obtaining a loan, time consuming to obtain a loan, disproportionate bank interest on loans with the income of villagers, insufficiency of loans received with the price of materials and construction in villages and ... Dissatisfied and there is not enough motivation to continue the project of rehabilitation and improvement of housing in the villages, Despite the positive effects of the project and the allocation of funds in recent years, the incompleteness of this project in many rural houses in the city indicates the existence of these obstacles and requires a review of the rules and processes set for obtaining loans by the authorities.

The aim of this study was to produce porous nanomaterials with a high specific surface area to increase the separation capacity of the cationic surfactant of cetyltrimethylammonium bromide (CTAB) from water. To this end,, meso and micro-porous carbon fiber / ZIF-8 nanocomposites were produced in situ without the use of surfactants by a simple and cost-effective method of sediment synthesis with superhydrophobicity and high specific surface area. Nanocomposite capacity analyzes were studied quantitatively and qualitatively by standard methods. According to the results, ZIF-8 particles with a crystal size of 27 nm and an average size of 30 to 50 nm were obtained. A rough surface with a ZIF-8 coating thickness of between 0.1-1 microns was obtained for carbon fiber / ZIF-8 nanocomposites. According to the research findings, the maximum adsorption of 388 mg / g for surfactant by fiber-carbon nanocomposite / ZIF-8 with a specific surface area of ​​260 m2 / g and the porosity of micropores and mesopores with an average size of 1.6 nm and 3/8 was obtained. Superhydrophobicity of carbon fiber nanocomposite / ZIF-8 with wettability angle with water of 150 ° and electrostatic collisions were identified as the dominant mechanisms of surfactant separation. The performance of the adsorbent in static and dynamic systems with the effect of different parameters was investigated in this study. The adsorption mechanism of the surfactant on the adsorbent was interpreted by the Langmuir adsorption isotherm model, and the first-order kinetics is the control mechanism of the adsorbent behavior over time.

Considering that one of the duties of governments is to provide suitable and resistant shelter for the weak sections of the society and villagers, as a result, one of the government's incentive policies is to provide loans to the villagers, in this way, it is possible to improve rural houses and improve their resistance against accidents. natural payment The purpose of this research is not only to evaluate the housing improvement plan, but considering the vulnerability of the rural strata and their deprivation, the granting of housing improvement loans can be effective in all aspects of their lives, especially in terms of mental and physical security, so in this research Investigating the effects of granting loans on the quality of life and psychological, economic and social security of villagers has been discussed. The current research method is descriptive-analytical and practical in terms of purpose. The statistical population in this research is all the households that benefited from housing improvement loans from 1384 to 1397 (1428 households). Based on the Morgan table method, 302 households were randomly selected as a sample and questioned. In order to question the households, a questionnaire was developed to evaluate the effects of the credits granted to the households in terms of economic, social, physical and environmental aspects, and also a questionnaire was developed to determine the effective components in the research of the sustainable policy model of housing improvement credits with a survey of experts and The professors were edited. To analyze the data, SPSS statistical analysis software and mean difference methods, factor analysis model and T-TEST were used. The results of the data analysis showed that in Mallard city, the credits granted in recent years have left positive effects in all the investigated dimensions; So that the average of all the studied dimensions is higher than the ideal state, that these loans have an effect on the economy of households, mental and psychological peace, sense of security, housing resistance against natural disasters, especially earthquakes, and the biological health of households, and considering the positive effects of these loans In the following, it was determined that, based on the investigated indicators, the influential components in the process of receiving facilities and improving and accelerating its implementation, the economic, social and organizational-administrative components played a role in the implementation of the housing improvement project as well as possible, and the greater the desirability of these 3 The component is effective in implementing the mentioned plan as best as possible.

Many people die as a result of road traffic crashes globally every year. Low- and middle-income countries had higher road crashes mortality compared to high-income countries and Iran is one of the countries with the high road crashes mortality in the world. Regarding the important and basic role the social components plays in health. The current study aims to investigate social determinants of traffic crash mortality in Isfahan during the 2014-2017.

This study was a cross-sectional data secondary analysis. 29909 traffic crashes were analyzed. Data were extracted from the Hospital Information System (HIS) and analyzed using logistic regression. Social determinants were selected using the Commission on Social Determinants of Health conceptual framework. Data were analyzed with Stata 14 software at a significance level of less than 0.05

we found that 719(2.8%) mortalities were related to traffic accident injury. The death rate due to traffic crash in the hospital was 2.4%. Multivariate logistic regression showed that men (P-value =0.00), unemployed people, less than 65 years of age, injured transported from suburb and passengers of small vans/trucks (P-value <0.00) had higher odds of mortality caused by traffic crashes

Considering the importance of social factors on traffic crashes mortality, health policy-makers should develop preventive programs and adopting policies based on occupation, sex, age, mode of transport of the injured, and the type of vehicles to inform interventions aimed at reducing injury-related mortality.

Today, the medical tourism market has been raised as one of the revenue industries in the world. In the tourism industry, factors have a direct and important impact on boom and expansion that causes some countries to become a medical tourism pole. This study aimed at prioritizing factors related to the absorption of medical tourists in Yazd City, Iran.

In the first step, using the keywords such as "medical tourism, effective factors and absorption factors", Web of Science, PubMed, Scopus, ScienceDirect, Google Scholar, Scientific Information Database (SID), Magiran, Medlib, Civilica, and Irandoc were reviewed, and related factors with the absorption of tourists were extracted; and in the second stage, using the hierarchical analysis model, by the research community consisting medical tourists and experts in this area, these factors were prioritized.

Factors were identified in the two themes, seven subthemes, and 27 items; among them, the subtheme of the quality of health services, and item of the quality of the treatment staff had the most importance and priority from the viewpoint of medical tourists and experts in this area.

One of the ways to increase tourists attracting and influencing tourists to choose Iran as a destination country, is to increase the quality of services, especially medical services, along with reducing costs, and making them competitive.

Hedgehog is an insectivore animal (it can be carnivore or omnivore in different live conditions) from true quadruped order. Anatomical structure of different system of this animal is not studied yet. hedgehog tongue was studied in this research. 5 tongue of puberty hedgehog was provided; First biometrical measurement was done then different type of lingual papillae was distinguished under stereomicroscope. samples fixe in paraffin and parafinized blocks were provided; these blocks were sectioned as serial. Also for counting of taste buds, circumvallate papillae were sectioned serially as craniocaudal and mediolateral. This research results were showed that hedgehog tongue has tree lingual papillae. They were filiform, fungiform and circumvallate papillae. Number of fungiform papillae was 78.33± 3.78 and they distributed in base and apex of tongue more than middle part. Also, it showed that fungiform papillae distributed in lateral border of mid portion of tongue extremely. Average of taste buds on fungiform papillae was 3.72±1.32. Number of circumvallate papillae was 3.272±1.32 that they were observed just in root of tongue. Number of circumvallate papillae taste buds was 14 ±5.52 in mediolateral secretions and 11.8±5.89 in craniolateral sections. This study results were appeared that taste buds of hedgehog tongue has tree type cells. They were sensory cells (neuroepithelial cells) supporting cells and basal cells. Lingual salivary glands in hedgehog tongue were serous, mucus and seromucus that serous secretory units were abundant in rostral portion and in caudal portion, mucus secretory units were abundant.

Today, due to the varitey of structures and cultures in organizations, diversity is one of the basic principles in crisis management. The aim of this study was to investigate the managers' perceptions of diversity components regarding crisis management in educational hospitals of Shahid Sadoughi University of Medical Sciences in Yazd in 2020.

This was a descriptive cross-sectional correlational study. To collect data a reliable questionnaire was used ,which was first used by Jitter based on diversity components in crisis management and a 5-point Likert scale, whose validity and reliability was measured to be (0.95).Because of the limited numberof subjects ,census method(N=90) was used ,and the relationship between the managers' perception and demographic factors were examined using SPSS24 version 24 ,descriptive statistics, as well as Pearson correlation test, variance analysis and independent t-test .

The highest level of managers' perception regarding justice and equity components showed the mean and standard deviation of (3.37 ± 0.64) and the lowest level of the adaptability component showed the mean and standard deviation of (3 ± 0.71), respectively. There was a statistically significant difference between the components of crisis management ,and the components of work experience, age and the type of job. According to the mean obtained, The highest level of importance was given to the scope of inclusion and learning of the program ,and its flexibility was) 3.75 ± 0.99)and the lowest level was considered to be justice and quity in crisis management in hospitals which was(3.44 ±0/83)

Considering today's changes and conditions in crisis management programs, focus on the managers' perception as a diversity component in managing crisis is of great importance ,and it is necessary to design programs based on demographic characteristics.

Nosocomial infections caused by Acinetobacter baumannii (A. baumannii) nosocomial infections caused by Acinetobacter baumannii (A. baumannii) are considered as a global serious problem in hospitalized patients because of emerging antibiotic resistance. Immunotherapy approaches are promising to prevent such infections. In our previous study, five antigenic epitopes of outer membrane protein A (OmpA), as the most dangerous virulence molecule in A. baumanii, were predicted in silico. In this study, the investigators evaluated some immunological aspects of the peptides. Five peptides were separately injected into C5BL/6 mice; then the cytokine production (interleukin-4 and interferon-gamma) of splenocytes and opsonophagocytic activity of immunized serum were assessed. To identify the protective function of the peptides, animal models of sepsis and pneumonia infections were actively and passively immunized with selected peptides and pooled sera of immunized mice, respectively. Then, survival rates of them were compared with the non-infected controls. Based on the results, activated spleen cells in P127 peptide-immunized mice exhibited an increase level of IFN-γ compared with the other experimental groups, but not about the IL-4 concentration. The results of opsonophagocytic assay revealed an appropriate killing activity of produced antibodies against A. baumannii in a dose-dependent manner. Further, the survival rates of the mice under passive immunization with the immunized sera or active immunization with P127 peptide were significantly more than those in the control group. Moreover, the survival rate of the P127 peptide immunized group was considerably higher than that among the other peptide-immunized group. In conclusion, findings indicated that peptides derived from outer membrane protein-A can be used as a promising tool for designing the epitope-based vaccines against infections caused by A. baumannii.

This study was done to investigate the effects of the strengths-based school counseling on the career development and the academic well-being of students. The research method was semi-experimental with pretest-posttest design and two control groups. The population included all male students from high schools of Isfahan in the academic year 1394-95, which were randomly selected from schools in a district and were placed in three different groups as experimental, control 1, and control 2 groups. Principles and programs of the strengths-based school counseling were performed on the experimental group during an academic semester. The questionnaires of the career development in short form Australia Creed and Patton and academic well-being of scale, Singly, Shou, and Schmitt were used to collect the data. The results of analysis of covariance showed that the career development scores of students in the experimental group were significantly increased compared to the other two groups, but the increase was not significant in the academic well-being. So, we can conclude that the strengths-based school counseling has a significant impact on the career development of students, but the academic well-being has not been affected.