zahra nasiri

Linear models due to the lack of correct extraction of the shape of the conditional distribution of data; Failure to record the dynamic behavior of the conditional distribution of data; the existence of limiting assumptions contrary to reality; They do not have the proper ability to predict returns in today's world. The main goal of the current research is to resolve the ambiguity in determining the appropriate model for forecasting stock returns in Tehran capital market in different time frames.This research is of an applied type. The time domain of the data used in this research is daily data from 2018/9/23 to 2022/09/23. To predict and model stock returns in this research from 8 categories of estimation models 1- Classical or Structural, 2- Non-Structural regressions; 3- Time-varying Parameter Bayesian regressions, 4- Discrete Wavelet transform and Continuous Wavelet transform models, 5- Metaheuristic Approaches, 6- Simple and Deep Artificial Neural Networks approaches, 7- Stochastic differential, 8- Financial quantum were investigated.Based on the results in the short term of 1 day, Bayesian averaging models; In the medium term of 16 days, financial quantum models and in the long term of 32 days, continuous wave models had higher accuracy. Based on the finding of research, it can be acknowledged that in order to predict stock returns, it is necessary to use different models in different time frames, and using the same approach will reduce the accuracy of Predicting stock returns.

The present study was designed to investigate the spatial and temporal (hourly, daily, monthly, and seasonal) variations in ambient fine particulate matter (PM2.5) concentrations in Tehran from 21 March, 2023, to 19 March, 2024, and estimate the number of premature deaths attributable to PM2.5.

Hourly PM2.5 data were obtained from 41 air quality monitoring stations across Tehran. Subsequently, 29 validated stations were identified for assessing spatial changes in pollutant concentrations and estimating the associated health effects. The latest version of the AirQ+ software (version 2.2.4) was employed to estimate health impacts attributable to PM2.5. Additionally, updated baseline data and the population of Tehran were used to assess the health effects of air pollution.

The annual average concentration of ambient PM2.5 in Tehran over the study period was approximately 32 µg/m³ for the entire city. At validated monitoring stations and across neighborhoods, the concentrations ranged from 20.8–47.5 µg/m³ and 22.2–46.3 µg/m³, respectively. These levels were approximately 4 to 9 times higher than the World Health Organization's (WHO) annual air quality guidelines and 2 to 4 times higher than the NAAQS. The number of deaths attributable to long-term exposure to ambient PM2.5 in adults aged 30 and above in Tehran during the study period was estimated to be 9,321 (95% confidence interval: 7,232–10,313) for concentrations exceeding 5 µg/m³.

The results of this study highlight that ambient PM2.5 concentrations in Tehran over the study period consistently exceeded the WHO air quality guideline and the NAAQS. Furthermore, a comparison of pollutant concentrations across all validated monitoring stations and neighborhoods reveals that residents in all parts of Tehran experienced poor air quality. However, concentrations were significantly higher in some areas, particularly the central and southern parts of the city, compared to the northern regions.

Bacteria are natural sources of metabolites that exhibit diverse bioactive properties, including wound healing, antioxidative, antibacterial, antifungal, anti-inflammatory, antidiabetic, and anticancer activities. Two important groups of bacteria with wound healing potential are polysaccharides and peptides. In addition to cellulose, bacteria produce various polysaccharides (such as exopolysaccharides) with wound healing potential. The most common bacterial peptides used in wound healing studies are bacteriocins and lipopeptides. The aim of this article is to review recent literature on the potential of wound healing in vitro and in vivo by polysaccharides and peptides derived from bacteria (Actinobacteria, Bacteroides, Cyanobacteria, Firmicutes, and Proteobacteria). For this reason, a search was conducted in scientific research databases such as Web of Science, Google Scholar, Wiley, Elsevier, Taylor and Francis, BMC Springer and MDPI with the keywords polysaccharide, peptide, bacteriocins, lipopeptides, streptomyces, bacteria, lactic acid bacteria, cyanobacteria and wound healing. The overall results showed that polysaccharides and peptides and peptides derived from bacteria show wound healing power both in vitro and in vivo. In living models, including animals and humans, these metabolites have a positive effect on wound healing by inhibiting pathogens, antioxidant activity, modulating the inflammatory response, moisturizing the wound environment, promoting the proliferation and migration of fibroblasts and keratinocytes, increasing collagen synthesis, remodeling, epithelialization and angiogenesis. Therefore, peptides and polysaccharides derived from bacteria play a significant role in wound healing.

Bacteria are natural sources of metabolites that exhibit diverse bioactive properties, including wound healing, antioxidative, antibacterial, antifungal, anti-inflammatory, antidiabetic, and anticancer activities. Two important groups of bacteria with wound healing potential are polysaccharides and peptides. In addition to cellulose, bacteria produce various polysaccharides (such as exopolysaccharides) with wound healing potential. The most common bacterial peptides used in wound healing studies are bacteriocins and lipopeptides. The aim of this article is to review recent literature on the potential of wound healing in vitro and in vivo by polysaccharides and peptides derived from bacteria (Actinobacteria, Bacteroides, Cyanobacteria, Firmicutes, and Proteobacteria). For this reason, a search was conducted in scientific research databases such as Web of Science, Google Scholar, Wiley, Elsevier, Taylor and Francis, BMC Springer and MDPI with the keywords polysaccharide, peptide, bacteriocins, lipopeptides, streptomyces, bacteria, lactic acid bacteria, cyanobacteria and wound healing. The overall results showed that polysaccharides and peptides and peptides derived from bacteria show wound healing power both in vitro and in vivo. In living models, including animals and humans, these metabolites have a positive effect on wound healing by inhibiting pathogens, antioxidant activity, modulating the inflammatory response, moisturizing the wound environment, promoting the proliferation and migration of fibroblasts and keratinocytes, increasing collagen synthesis, remodeling, epithelialization and angiogenesis. Therefore, peptides and polysaccharides derived from bacteria play a significant role in wound healing.

To evaluate the risk of uterine rupture during pregnancy, researchers use two-dimensional (2D) transvaginal ultrasound to assess lower uterine segment (LUS) thickness in the third trimester of pregnancy. This study aimed to compare the thickness of the LUS provided in a 2D transvaginal ultrasound with the findings during a cesarean section (C/S) of pregnant women with a history of previous C/S. This cross-sectional study was performed on 40 pregnant women referred to Izadi Obstetrics and Gynecology Hospital in Qom. All the women underwent transvaginal ultrasound followed by C/S within a maximum of one week later. Also, an expert gynecologist classified LUS thickness into four grades in the operation room. The mean age of women was 31.58 ± 4.56 years, and the mean thickness of the LUS was 2.17 ± 0.51 cm. Moreover, 57.5% of the women have graded I of LUS based on intraoperative findings. Results indicated that the mean thickness of the LUS measured by ultrasound significantly differed between the three grades detected by the gynecologist (P=0.04). However, there were no significant differences between maternal age, gestational age, parity, and time of last C/S among women with different LUS grades (P˃0.05). Transvaginal ultrasound could be helpful in evaluating the risk of scar dehiscence and uterine rupture among women with LUS grades I and II with a history of previous C/S.

Here, we explore the sensitivity of the Casimir force between two topological insulator plates on thermal fluctuation using weak and strong magnetizations on the surface of plates via Lifshitz theory. Thermal fluctuations between two plates made of topological insulators in vacuum lead to attractive interactions. By considering a weak magnetization, the influence of thermal fluctuations becomes stronger compared to the magnetoelectric effect in the regime of large separations which leads to generating the strong attractive Casimir force. Moreover, by considering strong magnetizations it is observed that thermal effects cannot make a change in the attractive and repulsive Casimir forces, and magnetoelectric effect determines both the magnitude and direction of Casimir forces. In the range of small magnetization, thermal effects have a significant effect on the repulsive Casimir force. It has been shown that at high temperatures, repulsive interaction due to antiparallel magnetization becomes weak, so that they disappear by increasing the separation.

Gazania, belongs to the family Asteraceae, is widely grown in gardens and other environments. The purpose of this study was to evaluated the effects of sodium nitroprusside and potassium silicate treatments on the growth and flowering of gazania. For these purposes, a completely randomized design was used, with three levels of sodium nitroprusside (SNP) (25, 50 and 100 μM/l), potassium silicate (PS) at the concentration of 25, 50 and 100 mg/l and control. Some important traits such as fresh and dry weight of shoot and root, number of flowers, root volume, longest root length, plant height, cell membrane stability index, petiole carotenoid, leaf chlorophyll, protein, superoxide dismutase (SOD) and peroxidase (POD) enzyme activity and flower longevity. It was observed that plan that shoot fresh/dry weight, flower number, root length, plant height, carotenoid, leaf chlorophyll was increased under 100 mg/l PS treatment. The results suggest that the application of 50 μM/l SNP has favorable effects on the raise root fresh/dry weight, root volume, cell membrane stability index, protein, SOD and POD activity. Over the growth stage, 50 mg/l PS was found to be the best treatment to maintain flower longevity with 7.2 days.

The reason for failure in learning and academic failure is the lack of academic skills. Mentally retarded children, as a special and vulnerable group of society, usually have little academic skills for various reasons. One of the important reasons can be executive functions. The present research was conducted with the aim of investigating the role of executive functions in predicting the mathematical academic skills of mentally retarded elementary students. The descriptive research method was correlation type. The statistical population was all 995 mentally retarded students of the elementary level in the academic year 1402-1401 in Kerman city; Based on the Morgan-Karjesi table, the statistical sample size of this research was 278 people; which were selected by stratified random sampling method. Brief executive function questionnaire and math teacher-made test were used to collect data. Data analysis was done with spss25 and Amos24 software. The results of the research showed that the model of the role of executive functions in predicting math academic skills in mentally retarded primary school students has an acceptable fit by controlling the effect of intelligence and age. There was a significant relationship between inhibition, attention transfer, emotional control, initiation, working memory, planning, organization of materials and revision with mathematical academic skills of intellectually disabled students, so that the components of executive functions simultaneously accounted for 0.357 of skill variance. The academic skills of intellectually disabled students were explained and the most important predictors of mathematical academic skills in intellectually disabled students were planning and working memory respectively

As a key custodian of public health, the Vice-Chancellor for Treatment Affairs in medical sciences universities plays a pivotal role in delivering healthcare services to the citizens through electronic service desk. In this study, we conducted an evaluation and ranking of the e-service desks managed by the Vice-Chancellor of Treatment Affairs at Iranian medical sciences universities.

A cross-sectional study conducted in Iran between 2022 and 2023 assessed e-service desks in medical sciences universities. The study included 51 desks categorized by their electronic service methods. Subsequently, e-services were evaluated and scored based on components, which are provided by the national administrative organization for employment. The evaluation components encompassed a) use of an e-service desk to provide services; b) provision of an information package; c) availability of a flowchart outlining the service; d) clarity of the service recipient; and e) electronic collection of user opinions. The total points and the average of each desk were calculated to rank them.

The assessed e-service desks were categorized into three groups based on the method of providing electronic services: service provider, service recipient, and not categorized. After evaluating each e-service desk, the highest and lowest points of e-service desks were 708 and 2. The result indicated that only 31 e-service desks achieved an average score of 50% or above.

It could be concluded that electronic government (e-government) has been partially implemented in the field of treatment throughout a developing country. However, the absence of a unified model to serve as a guideline for designing e-service desks has resulted in an undesirable diversity in the services offered and their delivery methods. It is recommended that medical sciences universities adopt and adhere to a unified model when designing e-service desks for the provision of healthcare services electronically.

Blood component waste is an important issue in all blood transfusion centers. Therefore, reducing and managing these wastages are a major concern in blood transfusion centers. The present study examined the causes and frequency of blood product wastage in blood transfusion centers of Fars Province from 2015 to 2020.

This is a descriptive and retrospective study, and the cause and frequency of red blood cell, platelet, plasma and cryoprecipitate wastage from 2015 to 2020 were evaluated. The data related to the blood product wastage were extracted from the comprehensive software of the Blood Transfusion Organization (Negareh). Then, it was analyzed using SPSS software version 25.

The total amount of waste was equal to 164981 units. The highest percentage of wastage of products was in 2015 (8.12%), 2016 (7.15 %) and 2017 (6.75 %), respectively. The most discarded products were whole blood, cryoprecipitate and platelet, respectively. Also, the leading causes of waste included positive screening test results, expiration date, contamination, blood group incompatibility, and abnormal and bloody color, respectively.

The authors concluded that blood component wastage has a dropping pattern in this period. Proper management and continuous training of technical staff are important in reducing blood product wastage.

Currently, the significant growth of the number of users of online services and distributed systems generate a large amount of database information at the level of data warehouses and big data. Data warehouses are large collections of business data that help organizations and businesses make more accurate and intelligent decisions. Big data is also a very large collection of data collected from multiple sources. These data can be the results of evaluating the performance of an organization or the interactions of its audience in social networks. Due to the increasing importance of big data functions and data warehouses, the issue of maintaining data security is the biggest threat these systems face. Basically, dealing with the category of information security and security of internet networks, data warehouses and services based on big data, requires special attention of the organization to the position of information security and all-round security of these systems, and this category should be considered at the macro level and from the perspective of benefits and benefits. it looked The existence of security weaknesses in these systems, the lack of proper training and justification of users regardless of their point of view regarding the position and importance of security, the absence of necessary instructions to prevent security defects, the absence of specific and codified policies in order to properly and timely deal with Security flaws will lead to issues that harm all users and the operational capabilities of these systems and actually expose the information infrastructure of organizations to serious damage and threats. In this article, we are going to research the security aspects of data warehouses and big data and examine effective and logical solutions in this area.

The prevalence of arboviruses is increasing worldwide. Their vectors are widely distributed in different continents of the world. Despite the importance of the phleboviruses, unfortunately data about the spread of the viruses in human and animal communities is very limited.

This study is a systematic review of phlebovirus and its vectors worldwide, with emphasis on Middle East countries including Iran. Accordingly, all English language articles which were conducted up to the end of 2020 were found by searching the databases, including Web of Science, PubMed, Google Scholar, Science Direct, and Scopus. Furthermore, the authors used the Strobe checklist to evaluate the quality of the articles.

Phlebotomus perniciosus was the main vector of the Tosca virus in the Mediterranean regions such as Italy, France, and Greece. In African counties, Aedes species were more important vectors of phleboviruses, especially Rift Valley fever. As these diseases can easily spread to even uninfected areas of Asia, permanent monitoring is needed to control phleboviruses.

Practical methods have been used to control the vectors and hosts of phleboviruses. Some important methods are listed as follows: impregnated bed nets/curtains, residual spraying, repellents, establishment of the robust surveillance of animal and their products, and limited movement of livestock during outbreak time. These methods can minimize the risk of transmission of phleboviral diseases, especially RVF infection.

Fluctuation Forecasting has always been one of the most important issues in financial markets and has attracted the attention of many academic researchers and activists and investors in financial and Capital markets in the past few decades. In the present study, the fluctuation of Total index and Dividend and Price index of the Tehran Stock Exchange were predicted using a harmonic quantum oscillator model. Monthly data of logarithmic return of total index and Dividend and Price index were collected and calculated in the period of April 2012 to March 2021 as a time series. In terms of purpose, this research is applied and in terms of its nature, it is part of descriptive-analytical studies. In order to implement the harmonic quantum oscillator model, the probability density function and the Fokker -Plank function were used and the prediction results were also compared with the random geometric Brownian motion model. In total, six hypotheses were examined based on the ratio of the Mean Absolute Percentage Error. The results of the hypotheses showed that in the total index of the stock exchange, the Harmonic Quantum Oscillator model for short-term (24 months), medium-term (48 to 72 months) and long-term (96 to 120 months) time periods compared to the geometric Brownian motion model. It has higher accuracy in predicting fluctuations. However, in the Dividend and Price index, this efficiency was observed only during short-term periods of 24 months and medium-term periods of 48 to 72 months, and for the long-term period of 96 to 120 months, the Harmonic Quantum Oscillator model cannot be considered a suitable approach for predicting fluctuations.

As we know, credit cards speed up and make life easier for all citizens and bank customers. They can use it anytime and anyplace according to their personal needs, instantly and quickly and without hassle, without worrying about carrying a lot of cash and more security than having liquidity. Together, these factors make credit cards one of the most popular forms of online banking. This has led to widespread and increasing use for easy payment for purchases made through mobile phones, the Internet, ATMs, and so on. Despite the popularity and ease of payment with credit cards, there are various security problems, increasing day by day. One of the most important and constant challenges in this field is credit card fraud all around the world. Due to the increasing security issues in credit cards, fraudsters are also updating themselves. In general, as a field grows in popularity, more fraudsters are attracted to it, and this is where credit card security comes into play. So naturally, this worries banks and their customers around the world. Meanwhile, financial information acts as the main factor in market financial transactions. For this reason, many researchers have tried to prioritize various solutions for detecting, predicting, and preventing credit card fraud in their research work and provide essential suggestions that have been associated with significant success. One of the practical and successful methods is data mining and machine learning. In these methods, one of the most critical parameters in fraud prediction and detection is the accuracy of fraud transaction detection. This research intends to examine the Gradient Boosting methods, which are a subset of Ensemble Learning and machine learning methods. By combining these methods, we can identify credit card fraud, reduce error rates, and improve the detection process, which in turn increases efficiency and accuracy. This study compared the two algorithms LightGBM and XGBoost, merged them using simple and weighted averaging techniques, and then evaluate the models using AUC, Recall, F1-score, Precision, and Accuracy. The proposed model provided 95.08, 90.57, 89.35, 88.28, and 99.27, respectively, after applying feature engineering and using the weighted average approach for the mentioned validation parameters. As a result, function engineering and weighted averaging significantly improved prediction and detection accuracy.

The purpose of this study was to investigate the level of readiness of Iranian academic libraries for sustainable management to realize green libraries.

In terms of the type of objective, the present research is applied research, and it was carried out by a descriptive survey method. The statistical population of this research includes different departments of university libraries under the supervision of the Iranian Ministry of Science, Research and Technology. In this research, a researcher-made checklist was used to collect the data, which was prepared based on the components of the ISO 14000, and a Delphi panel was used to determine its validity, and SPSS 22 software was applied to analyze the research data.

According to the obtained results, it can be concluded that the libraries of Iranian universities are far from the indicators of readiness to become green libraries, and in order to reach the desired level, it seems necessary to review the design of their infrastructure. The results also showed compliance with rules such as waste management, optimal energy consumption and use of renewable energies, attention to the optimal consumption of natural resources such as paper, the use of environmentally friendly raw materials and equipment in the library, and so forth. There are those who help the libraries in obtaining the necessary standards to become a green library.

Considering the importance of paying attention to environmental issues, this research is the first work done in this direction in this society and its scope.

This study was conducted as split-plot based on Complete Randomized Block Design with three replications in 2019 at Ferdowsi University of Mashhad. Salinity as the main plot (eight, 12 and 16dS m-1) and 13 chickpea genotypes were allocated to sub-plots. Salinity levels of eight and 12dS m-1, two genotypes of MCC606 and MCC643 had the highest survival percentage and at salinity level of 16dS m-1, only three genotypes of MCC539, MCC606 and MCC658 survived. Relative water content (RWC), Membrane Stability Index (MSI) and concentration of chlorophyll-a, were decreased in all genotypes as salinity level increased. Among the genotypes, MCC606 had the highest values of RWC, MSI and carotenoids at salinity levels of 12 and 16dS m-1. Proline content was increased in all genotypes as salinity level increased from eight to 12dS m-1. Results of the cluster analysis indicated the superiority of MCC539, MCC658 and MCC606 compared to total mean in all parameters. Principal component analysis showed that the first component explained 64.49% of changes in DPPH, carotenoids, MSI and biomass in three genotypes of MCC539, MCC658 and MCC606. Since this experiment was conducted in controlled conditions, field assessment of freezing tolerance of the superior genotypes is recommended to confirm the results of the present study.

Visceral leishmaniasis (VL) is still widespread in tropical and subtropical regions worldwide. The vector of the disease is a sandfly, when infected with Leishmania parasite, can transmit the parasite from humans to other vertebrates. As knowledge about causative agents, vectors, and reservoirs of VL in Iran is necessary to control the disease, the present review study has focused on the disease elimination status from a health perspective in the country.

In a recent review, various databases, such as Web of Science, PubMed, Scopus, Cochrane Library, Science Direct, Google Scholar, MEDLIB, Irandoc, Magiran, and SID were searched using the keywords “visceral leishmaniasis”, “VL”, “kala-azar”, “causative agent”, “parasite”, “vector”, “reservoir”, and “Iran”, and the retrieved data were extracted and reviewed independently during 2001-2019.

475 published studies were recorded about VL in Iran from 2001 to 2021. 68 articles were later excluded from the study due to duplication after the initial review. Leishmania infantum and L. tropica were the causative agents, and dogs and humans were the reservoirs. The most common vectors were Phlebotomus major, P. kandelakii, P. keshishiani, P. alexandri, P. perfiliewi, and P. tobbi in different country regions.

The prospect of eliminating VL in Iran is inadequate. Based on the findings, L. infantum and L. tropica were the causative agents, and humans and the Caninae subfamily were the VL reservoirs in the country. These findings can be added to the literature when health policymakers target preventive measures for VL in Iran.

This study aimed to examine the effectiveness of positive thinking skills training on distress tolerance and quality of life (QoL) in mothers of students with special learning disabilities. This study is based on a quasi-experimental pretest-posttest approach with a control group. The statistical population of the study includes all mothers of children aged 6 to 12 years with special learning disorders in Islamshahr (Iran) in 2020. A total of 30 mothers were selected by convenience sampling method and randomly assigned to experimental and control groups (15 people in each group). The required data were collected using the Distress Tolerance Scale by Simons and Gaher (2005) and the World Health Organization Quality of Life Scale (2000). The participants in the experimental group were trained with positive thinking skills in seven sessions. The control group did not receive any intervention during this period. Multivariate analysis of covariance was used to test the hypotheses. The results indicated that positive thinking skills training significantly increased distress tolerance and QoL in mothers (P-value <.01). In general, based on the results, teaching positive thinking skills is recommended as an effective intervention in increasing distress tolerance and QoL in mothers of students with special learning disorders.

The aim of this study was to compare sexual function components in people with cosmetic surgery and normal people. The method of the present study is post-event and comparative causal. The target population of this study will include all people who referred to cosmetic surgery clinics in Tehran during the first six months of 1399. Criteria for entry of participants in the study were surgery, marriage for more than one year, woman, conscious consent to participate in the study and the absence of any specific physical or mental illness. Sampling method was available. The sample included 160 people, 80 of whom had cosmetic surgery who referred to the cosmetic surgery centers of Omid Hospital in Tehran, and 80 normal people who were matched with the applicants in terms of gender, age, and marital status. In order to collect research samples, female sexual function index (FSFI) questionnaire were used and to analyze the data, independent t-test and multivariate analysis of variance using SPSS-22 software were used. The results showed that there is a significant difference between the two groups in the variables of desire, arousal, lubrication, orgasm and satisfaction, but in the variable of pain there is no significant difference between the statistical groups of people with cosmetic surgery and normal people.

Chickpea (Cicer arietinum L.) is one of the important legume crops and Globally, after beans )Phaseolus spp(., chickpea is ranked as a second important legume crop (Roy et al., 2010). Chickpea is an important source of proteins for human consumption, especially in the developing countries where people cannot provide animal protein or vegetarian by choice (Zaccardelli et al., 2013). Chickpea plays an important role in the maintenance of soil fertility through nitrogen fixation (Roy et al., 2010). Plants are exposed to wide range of environmental stresses. In among, Salinity is one of the major abiotic stresses causing severe impact on crop production worldwide(Rasool et al., 2012).chickpea is a salt sensitive pulse crop and its yield is seriously affected mainly by salts (Turner et al., 2013). Salinity stress in chickpea adversely affects several morphological features and physiological processes like reduction in growth and ion balance, water status, photosynthesis, increase in hydrogen peroxide, which causes lipid per oxidation and consequently membrane injury. Also proline and carbohydrates are accumulated in plant tissue (Flowers et al., 2010; Ashraf and Harris, 2004). This study is designed to determine the effect of salt stress on physiological and biochemical parameters in chickpea genotypes exhibiting differences in salinity tolerance. The results of this study could provide information on potential physiological and biochemical parameters and could also provide deeper intelligence into tolerance mechanisms than the stresses caused by salinity.

This experiment was conducted as split-plot based on randomized complete block design with three replications in 2018 at Ferdowsi University of Mashhad, Mashhad, Iran. Salinity with two levels of 0.5 and 8 dSm-1 (NaCl) was considered as main plot and chickpea genotype (17 Kabuli-type genotypes) as sub-plot. The characteristics such as soluble carbohydrates, proline, osmotic potential, MDA, DPPH, relative water content, MSI%, were evaluated in 50% of flowering. At the end of the growing season, crop was harvested and seed yield were determined.

The highest proline and carbohydrates content was observed in MCC65, MCC92 and MCC95 genotypes, and the lowest in MCC12 genotype. Result salinity stress caused increased 24, 19 and 19 % in the amount of osmotic potential, MDA and DPPH. Relative leaf water content and membrane stability was showen respectively 10 and 13 % reduction by use salinity stress. Survival percentage, number of branches and canopy height had reduction 6, 22 and 57. MCC65, MCC92 and MCC95 genotypes respectively by 0.183, 0.193 and 0.181 (Kg.m-2) had the highest seed yield and MCC98 and MCC298 had the lowest seed yield. The MCC65, MCC95 and MCC92 genotypes had superior traits, including performance in stress conditions compared to other genotypes, and on the other hand, the MCC98 and MCC298 genotypes had the lowest performance. Among 17 chickpea genotypes, the highest sodium content belonged to MCC95 genotype with 9.5 (mg.g.dw-1) weight and the lowest sodium MCC65 genotype with 5.8 (mg.g-1dw). MCC65 had the highest potassium in non-stress and MCC95 had the highest potassium in salinity stress.

The MCC65, MCC95 and MCC92 genotypes had superior traits, including performance in stress conditions compared to other genotypes, and on the other hand, the MCC98 and MCC298 genotypes had the lowest performance. Finally, further study in relation to the top three genotypes in salinity stress conditions is proposed to identify stress tolerance mechanisms as well as infrastructure as breeding programs.

Nowadays, attracting skilled and talented workforce has become a challenge for many organizations. Identifying and promoting the factors affecting organizational attractiveness to attract talented human resources has a competitive value. The purpose of the present applied research was to determine the effect of dependent and independent information sources on job seekers' perception of organizational attractiveness and recruitment of skilled labor. The research method in this research is descriptive-correlational. The statistical population of this study consisted of students of public, Payame Noor and Azad universities of Zanjan and the sample size of the study was determined by Cochran's formula to be 240 people. The data collection tool was a standard questionnaire that for localization, its validity was again confirmed using content validity and convergent validity and its reliability was confirmed using combined reliability and Cronbach's alpha equal to 0.870. Descriptive findings were extracted using SPSS24 software and the conceptual model of the research and its quantitative data were processed by structural equation modeling using SmartPLS2.6 software. Findings showed that perceived usefulness, ease of use, informational social influence and normative social influence have a significant effect on the perception of organizational attractiveness.

Leishmaniasis is a common parasitic disease in tropical and subtropical regions of the world and is also one of the major health problems in Iran.This study was designed to assess the knowledge, attitude, and practice of female students of Ahvaz Jundishapur University of Medical Sciences about cutaneous leishmaniasis.

The data collection tool of this cross-sectional study was a researcher-made questionnaire with 28 questions in 4 parts (demographics, knowledge, attitude, and practice). After evaluating the validity and reliability of the questionnaire, it was completed by 384 female students of Ahvaz Jundishapur University of Medical Sciences who were selected by stratified sampling method. SPSS software and Spearman correlation coefficient and Chi-square tests were used to analyze the data.

The highest level of knowledge was related to the the medical school students. A significant relationship was observed between the level of study and type of faculty with studentschr('39') knowledge (P-value˂0.0001). The best attitude was for BS students. Significant correlation was observed between the level of education and the attitude towards cutaneous leishmaniasis (P-value= 0.019). Students of medical and health schools had good practice in dealing with the disease.

In general, due to the relatively poor knowledge, attitude, and practice of the students, who are the first level of service givers to the the society, it is essential to educate them about the cutaneous leishmaniasis.

The present study examines the relationship between political connections and corporate financial crisis and auditing fees. This research is applied in terms of purpose and in terms of methodology of correlation is causal (post-event). The statistical population of the study was all companies listed on the Tehran Stock Exchange and using the systematic elimination sampling method, 110 companies were selected as a sample of the research in a 6-year period between 2012 and 2017. The method used to collect information is a library and the relevant data for measuring variables were collected from the Cadal site and the companies' financial statements and performed in Excel. Used. The results show that there is an inverse and significant relationship between political relations and the financial crisis. Also, there is a significant inverse relationship between political communication and auditing fees.

CONTEXT: One of the most important issues in patients with coronary artery disease is their mental health indices such as perceived stress and perception of disease.

The aim of this study was to evaluate the effectiveness of mindfulness‑based intervention on the perceived stress and disease perception of patients with acute coronary syndrome.

This is a clinical trial, two‑group, and three‑stage study on 76 patients with acute coronary syndrome who were randomly divided into intervention and control groups. Nine weekly sessions of mindfulness‑based training program were administered to the intervention group. The control group received routine services during this period. Data collection was done before, immediately, and 1 month after the intervention, using the Perceived Stress Scale and the Illness Perception Questionnaire. Data were analyzed using descriptive and inferential statistics.

There was no significant difference between the mean scores of perceived stress and illness perception before intervention. After the intervention and 1 month after it, the mean score of perceived stress in the intervention group was statistically significantly lower than the control group (P < 0.001), and the perception of disease in the intervention group was statistically significantly higher than that of the control group (P < 0.001).

It is worthwhile to suggest the mindfulness‑based training program to reduce the perceived stress and correct the perception of disease for patients with acute coronary syndrome.

Tropical Disease Research of World Health Organization has classified cutaneous leishmaniasis as an emerging and uncontrolled disease. The aim of this study was to evaluate the epidemiology of this disease in Dasht-e- Azadegan County. Subjects and

This retrospective study was conducted in Dasht-e-Azadegan County in 2015-2019, based on patient data collection (sex, age, occupation, number and location of wounds, geographical area and season of outbreak). Data were analyzed by SPSS software version 20.

The number of patients with cutaneous leishmaniasis in the 5-year period was 1320 person, of which 720 of them were male (54.54%) and 600 of them were female (45.46%). The highest number of diseases was seen in the age group of 10-19 (23.78%) and 20-29 (23.63%) respectively. In addition, 61.74% of patients were urban and the rest were rural. Significant differences were observed between the geographical area, occupational group, and season with cutaneous leishmaniasis. About, 59.54% of patients had one wound and the most involved member was hands (28.78%). The highest seasonal prevalence was in winter and in January and February. During the period under review, the highest incidence of the disease was observed in Abu-Hamiyzeh, and overall the incidence of the disease had been decreased during these five years.

Due to the endemic nature of the disease and the prolonged activity of Phlebotomus papatasi in this county, education of high risk individuals is essential to reduce the incidence and prevent the disease.