ali ramezani

Considering the high importance of the optimization problem, this study evaluated mathematical programming models by considering various methods of estimating model coefficients. Correct and accurate data must be entered into the model to get accurate and robust result from the model. Most input data to the presented model are technical and objective function coefficients. Therefore, it is necessary to determine the information related to these coefficients with the utmost precision and, as much as possible, to develop a suitable scientific method to estimate the value of these coefficients [5]. Finding the best method for estimating the coefficients of mathematical programming models can significantly optimize the final values of the variables extracted from the mathematical programming model. For this reason, it is essential to study the methods used so far in this field and examine their advantages and disadvantages. This review study investigated various methods of estimating technical coefficients of mathematical planning models in the conditions of possible decision-making and uncertainty after reviewing 117 articles published between 1955 and 2022. These methods include fuzzy methods, statistical methods, and data analysis methods. Statistical methods such as regression methods, time series methods, exponential smoothing, and linear non-linear and non-parametric, machine learning and data mining methods were investigated in this article. The methods of data-driven analysis explained in this article can be referred to as decision trees, random forests and the Lasso methods. After evaluating and comparing these methods, suggestions for choosing the best method were provided.

The effectiveness of stabilizing core muscles of the trunk and pelvis has been studied more in osteoarthritis (OA) of the hip and less in knee. Performing these exercises while standing, removes the limitation of performing them in different environments. The current study examines the effectiveness of standing core exercises on pain and performance of patients with knee OA, who have no strenuous activity and often have sedentary jobs. On the one hand, by reducing the social restrictions of doing these exercises and on the other hand, by reducing the occupational interfering factors that cause knee arthrosis, we have tried to get a purer and more accurate conclusion from these therapeutic exercises.

This is a randomized, controlled trial. Patients with knee osteoarthritis were invited to enter the study and if they met the criteria and received the consent, they were randomly divided into two groups. The control group, which only received the program of performing conventional exercises of knee OA, and the intervention group, which received the program of standing core exercises in addition to conventional exercises. The primary outcome of this study was visual analytic score (VAS) of pain and the secondary outcomes were Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Lequesne and 6-minute walking test (6WMT) at 6 and 12 weeks.

In this study, 38 patients completed the study per-protocol. The baseline characteristics and outcome measurements did not differ significantly before the intervention. Within-group analysis showed that there is a significant difference in VAS, WOMAC pain, discomfort and maximum distance of Lequesne and 6MWT indices in both groups (P<0.05). Also, within-group analysis showed that there was a significant difference in WOMAC physical performance and Lequesne daily activity only in the intervention group (P<0.05). The results of the between-group analysis showed a significant difference between the two groups in all outcomes in 12 weeks (P<0.0001), and in the VAS and Lequesne index, a significant difference can be seen between the two groups even in 6 weeks (P<0.005). The effect size on the primary outcome of VAS is 0.68 in the core exercise group compared to the control group.

The results of this study show that standing core exercises, after 12 weeks, causes a significant reduction of pain, improvement of function and activity in patients with knee osteoarthritis compared to conventional exercises, and its positive effect on pain or discomfort, ‘maximum distance walked’, and ‘activities of daily living’ after 6 weeks, also observed. Although previous studies showed the positive effect of core exercise on the pain index and activity of knee osteoarthritis patients, the results of this study showed that even standing core exercises may be effective.

Epstein-Barr virus (EBV), one of the most significant causes of lymphoid and epithelial cancers, has been linked to oral carcinogenesis; however, this etiological association remains controversial. To investigate this association, the present study aimed to determine the prevalence of EBV in cancerous and non-cancerous oral tissues from Ahvaz, Iran. In total, 164 blocks of formalin-fixed paraffin-embedded tissues from oral squamous cell carcinoma (OSCC), including 76 tongue squamous cell carcinomas and 88 non-cancerous tongue tissues, were collected from Ahvaz Imam Khomeini Hospital, Ahvaz, Iran, from December 2014 to March 2019, for this case-control study. The tissues were cut into 15-μm-thick sections, and DNA was extracted using a solution of Phenol, Chloroform, and Isoamyl Alcohol. The EBV detection and typing were performed using nested polymerase chain reaction. The EBV was detected in 9 (5.48%) out of the 164 samples studied, including 4 (5.26%) of the 76 SCC cases and 5 (5.68%) of the 88 samples in the control group (P>0.05). The EBV was positive in 2.40% of the 83 male and 8.6% of the 81 female samples (P>0.05). In terms of the histological grades of the case group, 3 (3/57) and 1 (1/13) of the EBV-positive samples were well and moderately differentiated, respectively (P>0.05). For EBV typing, the 9 EBV-positive samples were tested, and it was found that 2 and 7 of the cases were EBV type I and II, respectively. Results of the current study demonstrated the low frequency of EBV in Iranian patients with OSCC, with EBV type II predominating. Further studies are required to clarify the association between EBV and OSCC.

Breast cancer is currently the most commonly diagnosed neoplasm in women worldwide. There is evidence that human papillomavirus (HPV) infection may play a key role in breast cancer aggressiveness, but results are conflicting across studies. The aim of this study was to investigate the presence of the HPV viral genome in benign and malignant breast tissue samples and its clinicopathological characteristics of cancer.

In this case-control study, 100 formalin-fixed paraffin-embedded (FFPE) of breast cancer and 100 blocks of non-cancerous breast tissue were selected as a control group from the pathology department of Imam Khomeini Hospital in Ahvaz from 2020-2022. The presence of HPV was detected using nested PCR including MY09/11 primers and sequencing were performed for virus genotyping.

The present study enrolled 100 subjects each in two cancer and control groups with a mean age of 52.81±13.23 and 35.77±11.65, respectively. The risk of cancer in HPV-infected patients is almost 5 times higher than in HPV-negative individuals, it is not statistically significant (OR =4.99, 95% CI 0.35 to 72.15, p=0.238). The prevalence of HPV in the cancer and control groups was 7% and 1%, respectively and HPVs detected in two groups were of the HPV 16 genotype. Although the chance of ER and PR expression, lymphvascular involvement, perineural invasion, and higher tumor grade was higher in HPV-positive subjects than in HPV-negative subjects, this was not statistically significant (OR>1, p>0.05).

Based on studies reporting the existence of sequences of different high-risk HPV types (oncogenes) in breast cancer tissues, this study confirmed the hypothesis of a possible infectious cause in the development of breast cancer. So far, however, the results have been controversial and inconclusive. Further studies with large sample sizes are needed to demonstrate the link between HPV and breast cancer.

The exponential growth of information technology has changed the financial sector globally. In the financial sector, electronic banking has emerged as an emerging technology and cannot be ignored in the banking sector . Today, most banks are facing a completely dynamic environment, and all banks, whether large or small, have placed the attraction and return of current customers at the top of their plans, considering the sudden changes in competitive situations and market conditions . Undoubtedly, the central role of banking systems in the functioning of economic systems is undeniable. Electronic banking is an alternative banking channel with convenience, speed, lower banking fees and round-the-clock services to bank customers. E-banking services enable customers to process business bills, transfer funds and create online bank statements through an e-banking website. Also, customers usually intend not only to adopt systems and innovations, but also to seek continued use after adoption. In recent decades, in industrialized countries, the role of banks has changed rapidly and new tools along with new technology have become available for banking services. Technology continuum theory ignored technology characteristics and task characteristics that directly affect user behavior toward technology adoption. On the other hand, the task technology fit model does not include information system continuity factors such as confirmation, perceived usefulness, and satisfaction, and therefore the integration of the task technology fit model and technology continuity theory in the field of electronic banking user continuity helps theory and practice. The present study extends the theory of technology continuity with technology-task fit to gain deep insight into the existing phenomenon. In fact, an integrated perspective model provides a more complete explanation of the causal mechanism underlying the relationships that cannot be obtained from a single theory; Therefore, expanding the theory of continuity of technology with the appropriateness of task technology is suitable for investigating individual behavior towards continuous use of electronic banking services .This study is one of the few studies that integrates the technology fit model of the task and the theory of technology continuity and provides a more complete explanation of the causal mechanism underlying the unique relationships and insights. The purpose of this study is to investigate the effect of the components of the developed theory of technology continuity on the tendency to continue using electronic banking of Sepah Bank in Guilan province. This research is applied in terms of purpose and descriptive in terms of data collection. The statistical population of the study is e-banking customers. The main tool for data collection in this study was a questionnaire and SPSS and PLS software were used for analysis. The questionnaire was distributed among the respondents. According to the purpose, this research is in the category of applied research. According to the classification of research according to the method of data collection, this research is in the category of descriptive research. The statistical population of the research is the electronic banking customers of Sepeh Bank in Gilan province. The sampling method in this research is proportional and non-probability. In order to continue e-banking, it is expected that the high level of technology compatibility will motivate the e-banking users to continue using e-banking services. Also, users who feel supportive technology will have a positive effect on technology use. In addition, a good technology fit facilitates the use of technology and increases the individual's work performance. The research findings indicate that the components of the developed theory of technology continuity on the tendency to use e-banking continuously have been positive and significant. The research hypotheses also showed that the characteristics of activity and technology affect the suitability of technology with activity and perceived ease in customers. The relevance of technology to activity affects perceived ease and perceived usefulness in customers. According to the results of the research, the characteristics of the activity, the technology on the fit of the technology with the activity and the characteristics of the technology on the perceived ease of banking customers were confirmed. In explaining this result, it can be said that the expansion and diversity of banking services and the type of banking activities of customers have an effect on the fit of technology with activity, and it shows that users accept technology only when it is user-friendly and easy and helps to improve the performance of their tasks. The development of technology continuity theory confirms that the factors incorporated in the newly developed integrated technology continuity model are important and managers should focus on confirming user expectations and satisfaction. This study contributes to information systems literature in several ways. it extends the theory of technology acceptance with the technology-task fit model and enriched literature from the context of initial acceptance to post-acceptance behavior of the user's continued willingness to use the electronic banking system. the empirical findings show that the newly developed model (technology continuity theory and technology-task fit) has significant power to determine the user's continued intention to use electronic banking. The continuity of the electronic banking user is confirmed. Another contribution of this study is the development of technology continuity theory with task technology fit model. As the usefulness of e-banking increases, the more likely they are to continue their relationship with the organization. Also, if customers do not perceive satisfaction from the functions of the organization or institution, they will feel satisfied and this behavior will continue in the future. Therefore, it is important for website managers and developers to focus on confirming user expectations and satisfaction in order to increase the use of electronic banking. It is recommended for website managers and developers to focus on the responsiveness and usefulness of electronic banking websites in order to confirm user expectations. E-banking and the usefulness of the e-banking website will increase. Also, in the post-adoption scenario, managers and software developers should focus on factors such as perceived usefulness, perceived ease of use, user attitude, satisfaction, and confirmation of expectations in order to ensure continued willingness. Increase the number of electronic banking users to use electronic banking services.

The main goal of the current research is to provide a model for measuring the stock price bubble with a behavioral approach. The present research method is a descriptive survey. The statistical population consists of two groups, in order to determine the factors related to the model, the first group consists of 10 capital market experts, and the second group consists of active companies admitted to the stock exchange, which were used for the model test. ANP has been used to prioritize the identified behavioral factors. The calculations performed to determine the priority of the main criteria show that the heterogeneity of investors with a normal weight of 0.128 has the highest priority. Speculative behavior, mass behavior and mental accounting are in the second to fourth place, respectively. Also, the results of the second part show that considering that the statistical population of the research consists of all the companies active in the stock market between 2012 and 2019, 143 companies were selected as a sample based on systematic elimination. Eviews software and logistic regression were used to test the hypotheses. The identified behavioral factors include speculative behavior, behavioral volatility, investor heterogeneity and market expectations. The results show that behavioral instability, heterogeneity, market expectations, as well as speculative behavior have a positive effect on the occurrence of stock price bubbles; Therefore, it can be stated that behavioral factors can have a positive effect on the formation of the stock price bubble; Therefore, the identified pattern has the necessary efficiency from the behavioral point of view.

Behavioral bubble models generally assume that real investors,as uninformed and irrational individuals, follow the trend and cause bubbles to form,while legal investors,as informed,adopt a reverse behavioral strategy. They go against the trend. Therefore,the main purpose of this study was to prioritize the factors of measuring the stock price bubble with a behavioral approach. The method of the present study is descriptive survey and the statistical population consists of 10 capital market experts. ANP was used to prioritize the identified behavioral factors. The threshold value must be calculated to map the network relationships. In this study,a threshold value of0.059 was obtained.to normalize the preferences of each criterion,the sum of the values of that criterion must be divided by the sum of all preferences. Because the values are fuzzy,the fuzzy sum of each row is multiplied by the inverse of the sum. The inverse sum must be calculated.Each of the obtained values of fuzzy and normalized weight corresponds to the main criteria.In the final step of de-fuzzing, the values obtained and the crisp number are calculated.The incompatibility rate of the comparisons is0.026 ,which is less than0.1 ,and therefore the comparisons can be trusted.Calculations performed to determine the priority of the main criteria showed that heterogeneity of investors with a normal weight of0.128 has the highest priority.Speculative behavior with a normal weight of0.107 is in the second priority.Mass behavior with a normal weight of 0.1067 Is in the third priority and mental accounting with a normal weight of0.092 is in the last priority.

Reza Baraheni, in addition to working in the field of poetry and literary criticism, is one of the leading contemporary novelists. His works are a reflection of the political situation in Iran before the Islamic Revolution and the events of the Revolution with a focus on the socio-political issues of Pahlavi society. In this article, with the aim of expressing the author"s intellectual style, the central ideas in his stories are examined with a sociological approach.

Research method is descriptive-analytical. The statistical population of the research is the stories of "Song of the Killed", "What happened after the wedding", "Secrets of my land", "Well to well" and "Mr. Ayaz"s hellish days".

Baraheni by combining symbolic expression and modernity, the choice of historical and contemporary figures, with realism and postmodernism, has repeated the three central ideas of the dynasty "s Despotism, depravity of the dynasty and popular struggles in all his stories. In recounting his thought, describing corruption, poverty, imprisonment and torture of the Pahlavi dynasty is the author"s style of thought.

Baraheni stories can be called a historical account of the life of the people and the events of the Pahlavi period. He is a political writer who has tried to describe the despotism of the Pahlavi dynasty, the poverty of the people, the popular struggles against the Pahlavi dynasty, torture and the consequences of imprisonment.

Out of body (departure of the soul from the body) is one of the important issues in Islamic mysticism that mystics have discussed with the belief in the incorporeity. In this article, with the aim of examining the common intellectual style of mystics in believing the Out of body, the interpretations and allegories of Out of body, its conditions, requirements and examples in the texts of mystical order and prose have been studied.

Data collection was done by note-taking method with a general review of mystical texts in a library and the article was written in a descriptive manner by selecting a sample of outstanding works of mystical texts.

There is a belief in the Out of body in mystical works. Mystics believe that some saints reach a level of behavior where the body becomes like a garment for them and the soul can bring it out. They have also repeated the interpretation of the bird and the cage that the soul is released from the cage of the body like a bird. God"s love, austerity, abandonment of material belongings, asceticism and self-cultivation are the conditions and necessities of Out of body. Out of body is different from voluntary death, but the mystic who have reached voluntary death are easier to Out of body. The dignity of mystics is an example of Out of body that is repeated in mystical texts.

Out of body in Islamic mysticism has been a common thought and common thought style of mystics in different periods. Their constant effort is to acquaint the soul with the Alawite world, which is caught by the descent into the material world and is in opposition to the body. Because he belongs to another world and is single, sometimes the human soul leaves the body to connect with the Alawite world or revelation, dignity and mystical experience.

The objective was to evaluate the ability of cinnamon nanoparticles (CNPs) in the healing of wounds with Pseudomonas aeruginosa (PAE) infection as well as HAMLET sensitization in rats. Fifty healthy male Wistar rats were used in this study. The rats were divided into 5 groups (n = 10), randomly. In the NORMAL group, no infected wounds were treated with a sterile solution of saline 0.9% (0.1 ml). In the PAE group, the wounds with Pseudomonas aeruginosa infection were only treated with a sterile solution of saline 0.9% (0.1 ml). In the PAE-HMLT group, HAMLET (100 µg) was used to treat infected wounds. In the PAE-CNM group, 1 mg/ml CNPs (0.1 ml) were applied topically to treat PAE-infected wounds. In the PAE-HMLT-CNM group, HAMLET (100 µg) and 1 mg/ml CNPs (0.1 ml) were applied topically to treat PAE-infected wounds. Microbiological examination, planimetric and biochemical showed a significant difference between rats in the PAE-HMT-CNM group in comparison with other groups (p < 0.05). In conclusion, CNPs could offer the potential to pay more attention to this harmless and easily available agent to be topically applied in wounds with infection.

Fluoride is one of the developed compounds that can enter water resources in different ways. The World Health Organization has recommended its maximum permissible concentration in drinking water of 1.5 mg/l so that its concentration exceeding the permissible limit can be harmful to the health of living organisms and ecosystems. The aim of this study was to determine the efficiency of activated carbon modified by the thermo-chemical method from oak fruit in fluoride removal. This research was conducted in a discontinuous system on a laboratory scale, and for this purpose, the effect of effective parameters such as time, pH, concentration, adsorbent dose, and other factors was investigated. The results of the experiments showed that the maximum amount of removal takes place during 90 min, pH=3, adsorbent dose of 0.1 g/l, and pollutant concentration of 50 mg/l. The results of the synthetic models showed that the Freundlich model with the coefficient of determination (R2=0.863) is a better model than the Langmuir model with the coefficient of determination (R2=0.736) to describe the synthetic behavior of the absorber. Until now, most absorption methods have been performed to remove the pollutant concentration of 30 mg/l. In the current study, with the input pollutant concentration of 50 mg/l, it can be stated that the activated carbon modified from the oak fruit is a cheap, efficient, and effective adsorbent. It is considered available to remove fluoride from aqueous solutions.

The stock market involves risks and returns that, if forecasted correctly, can lead to profitability, and for this forecasting, appropriate methods are needed. It is affected by various parameters and needs a way to identify these parameters well and have a dynamic nature. The main goal of this article is forecasting Tehran Price Index (TEPIX) by using hybrid Artificial Neural Network (ANN) based on Genetic Algorithm (GA), Harmony Search (HS) particle Swarm Optimization algorithm (PSO) Moth Flame Optimization (MFO) and Whale Optimization algorithms. GA is used as feature selection. So, PSO, HS MFO and WOA are used to determine the number of input and hidden layers. We use the daily values of the stock price index of the Tehran Stock Exchange from 2013 to 2018 in order to forecasting price and test it. The accuracy of ANN, hybrid Artificial Neural Network with HS, PSO MFO and WOA is evaluated based on different loss functions such as MSE, MAE and etc. the results show that the predictability of Meta-heuristic algorithms in testing period is higher than normal ANN. Also, the predictability of hybrid WOA is higher than hybrid PSO and HS algorithms and MFO.

One of the main concepts in every economy are startups because they have some characteristics and qualifications such as innovation, job creation, boosting economic productivity and etc. that differentiate them from other companies. So, it is important to better identify them and make familiar with their revenue generations and valuations. In this paper, we have tried to study the main role of startups in economy, their characteristics, main goals and etc. The main goal of article is prediction of startup's return using artificial intelligence methods such as genetic algorithm (GA) and artificial neural network (ANN). There are multiple startup valuation models such as Berkus model, DCF model, venture capital method and etc. Since, there is not any information about startups such as sale, market size, profit and etc. and most of the models works with database, so, we have tried to analyze startups that are in stock markets and passed IPO stage. Some global indices such as S&P500, DJAI, and economic indicators such as 10 years Treasury yield, Wilshire 5000 Total Market Full Cap Index along with some other special indicators in startups like team, idea, timing and etc. are used as input variables. GA is used as feature selection and finding the most important variables. ANN is used as an optimization model and prediction of startup's returns. We used econometric models such as regression analysis. We have estimated Value at risk (VaR) and Conditional Value at risk (C-VAR) for considered portfolios including three startups (public company) such as Dropbox, Inc. (DBX), Scout24 SE (G24.DE) and TIE.AS and optimal portfolio formation. The results show that AI based methods are more powerful in prediction of startup's return. On the other hand, VaR and C-VaR models are very beneficial approach in minimizing risk and maximizing return. We found that artificial intelligence based models having high predictability and qualifications such as speed up calculations, improve by training, no assumption, ease of use and etc. But econometric models have some qualifications and assumptions such as normality, linearity, stationarity and etc. which are the limitation.

onsidering that the purpose of the stock exchange is to attract small funds and allocate them to the economy, especially production, so it is necessary to try as much as possible to make it as efficient as possible. The higher the cost-effectiveness of the capital market, the more investors' confidence in stock will increase, and their willingness to invest will increase. So if this confidence and trust is created in the investors, it will increase the possibility of attracting small savings and investments through stock exchange and injection. For this purpose, in this research, we will try firstly to test the efficiency of the Tehran Stock Exchange, and in the next step, suggestions are made to move from inefficiency towards the better functioning of the market to improve the quality of profit. Therefore, in this research, the role of stock market performance in the quality of companies' profits in Tehran Stock Exchange has been investigated. In this study, a sample of 172 companies has been used to measure the company's earnings quality. Multiple regression analysis showed that there is a negative and significant relationship between stock market stock performance and corporate earnings quality. Also, the other result showed that the amount of investment in the relationship between the performance of the stock market and the quality of corporate profits is ineffective.

The purpose of this study is to investigate the factors affecting the company's innovation performance based on learning orientation and participatory innovation activities in the supply chain. Research Method This research is a descriptive-correlation research method. The statistical population of this study includes managers and deputies of supply chain companies related to the factory for the production of prestressed / holocor prefabricated parts (N = 192). Sampling method is available and the statistical sample was estimated based on Cochran's formula of 129 people. Wang and Hu (2020), Kumar et al. (2020) and Shahr (2020) study questionnaires were used to collect data. Kolmogorov-Smirnov test and confirmatory factor analysis (CFA) of the measurement model and t-coefficients and Sobel test were used to analyze the data. The results showed that the set of factors that influenced the performance of innovation in this model, could explain 76.4% of the changes in innovation performance (R2 = 0.764). Variables (participatory innovation measures, entrepreneurial orientation, operations strategy, participatory innovation capability, learning orientation, knowledge sharing) are among the factors that affect the company's innovation performance and this develops the company's innovation performance.

The existence of price bubbles in different markets,and in general the bubble in price levels is one of the new theories in the field of macroeconomics.Basic patterns do not explain much about the causes of bubbles.For this reason, experts in the framework of theories related to behavioral sciences tried to explain the causes related to the formation of this component.The term bubble is more commonly used in financial markets when rising public expectations of future price increases will cause temporary price increases in the present.Therefore,the main purpose of this study is to provide a behavioral model for measuring the stock price bubble in the capital market.The method of the present study is descriptive-correlational and the statistical population of the study consisted of all companies active in the stock market in the period 1392 to 1399 due to the systematic elimination,143 companies were selected as a sample.We used logistic regression with Eviews to test the hypotheses.Behavioral factors identified include speculative behavior, behavioral irrationality,investor heterogeneity, and market expectations.The results showed that behavioral irrationality has a positive effect on the stock price bubble.Investor heterogeneity also showed a positive effect on the price bubble.On the other hand,market expectations and speculative behavior also had a positive effect on the stock price bubble.Therefore,it can be said that behavioral factors can have a positive effect on the formation of stock price bubbles. Therefore,the identified pattern has the necessary performance from a behavioral point of view.

One of the most important moral vices, which is the cause of misery of mankind, the obstacle to human happiness, and the source of many sins, is great dreams. The great dreams, like a hidden virus, lead to threaten the health of individuals and societies because of ignorance. This study, with the aim of identifying the great dreams, discovered their causes and consequences from the view of Nahj al-Balagha; thus, the book “Nahj al-Balagha”, moral books, and related researches were applied. The findings of this descriptive-analytical study showed that the most important cause of great dreams is the penetration of satanic deceptions and the tendency to this world that make a person feel to be nothing, have illusions and imaginary things, and cut off his/her connection with the truths of existence and spirituality of life. The most important consequence of great dreams is the weakness of reason that results in ignoring the understanding of the truths, especially, the death and hereafter.

Meningitis can quickly become a life-threatening sickness and therefore is considered a medical emergency. Viruses, after bacteria, are known as main pathogens involved in meningitis; therefore, we investigated the prevalence of viral meningitis worldwide and evaluated the clinical and preclinical features for rapid detection of viral meningitis. The results showed that the most prevalent viruses in viral meningitis are Enterovirus, Coxaci, Tick-borne encephalitis virus, Herpesviridae family; and the most prevalent viruses in aseptic meningitis are Echovirus, Enterovirus, Coxaci and HSV. The findings revealed differences in the prevalence of various viruses in these two types of meningitis, even though there was no significant difference in clinical manifestations between viral and bacterial meningitis. This indicates the importance of laboratory diagnostic methods for discriminating between these two types of meningitis.

The formation and evolution of culture in organizations are related to the learning experiences of their members over time. In this regard, the present study was conducted to empirically investigate the correlation relationship between the Learning Organization (LO) and safety culture concepts in Iran’s nuclear and radiological industries.

A theoretical model concerning the connections between seven facets of LO and safety culture was proposed. It was then empirically tested with a structural equation modeling PLS analysis of a survey data set of 388 observations, collected from the radiation workers of 45 organizations in 4 Iranian industrial groups i.e. medical radiation, industrial radiography, nuclear installations, and radiological installations. Yang’s DLOQ questionnaire in 2004 and IAEA’s SCPQ-LH questionnaire in 2017 were used to measure LO and safety culture, respectively.

According to the findings of this study, being a LO could explain 52% of the variance in safety culture. Besides, it was observed that the strength of this relationship between four different subpopulations of Iran’s radiological and nuclear industries due to their different contexts, had significant differences and they vary from 34% for industrial radiography to 65% for nuclear installations.

The existence of LO conditions in the working environment is linked to high safety culture. Thus, the LO can be joined to the toolbox of consultants, managers, and other organizational developers attempting to advance the conditions for safety at work.

Tazkirat al-Awliya of Attar is one of the leading sources in the knowledge of the various mystics of the ages of the 1st. of Hijri until the time of the author (7th. century). In this book, the life of 97 elders of Sufism, each of which was related to a mystical mission, has been studied. The study of Mashayekh’s attitude is a way of understanding various mystical thoughts and can be a reliable document in the study of the mystic philosophy. In this paper, the components of ascetic mysticism and romantic mysticism are reviewed from the narratives and narrations of the Tazkirat al-Awliya. Attar has not made a specific classification of the intellectual tendencies, and has mentioned each one's respectful attitude. But the study of the contradictions of love and ascetic mysticism in their lives shows that the Awliya’s react to each other's ideas, and Shari’a, dignity, and wisdom are the main issues of the main conflict.  Adherence to the Shari'a is the principle in ascetic Awliyas where the elements of love mysticism is not seen. But in the words of the romantic Awliya, bypassing the ascetic mysticism, sometimes perform non-religious acts. Also, the compassion for the devil, the apostasy, the belief in Sama’e, the rejection of apparent dignity, has come to the mind of the romance, who is not in a state of inferiority. The common theme in the Awliya's words in the ascetic and romantic mysticisms is the anti-Semitic world in which all of them are considered. I consider Attar to be in the group of romance mysticism, and this trend has also been shown in Tazkirat.

This study aimed to determine the prevalence of dental caries and related factors in children aged 7 and 8 years.

This cross-sectional study was performed on 2229 elementary school students aged 7 and 8 years old using the census method. A valid and reliable researcher-made questionnaire was used for data collection. Data were analyzed by SPSS software version 24 using Chi-square, One-way ANOVA, Independent Sample t-test, and logistic regression.

The mean (standard deviation) of total DMFT of students was 3.65 (2.98). The mean (standard deviation) of DMFT for the 7-year-old and 8-year-old age groups were 3.95 (3.23) and 3.65 (2.93), respectively. The DMFT level of boys was significantly higher than that of girls (p<0.05). The prevalence of dental caries among all students, 7-year-old and 8-year-old students were 82%, 83.22% and 81.33%, respectively. The results of logistic regression showed that there was a significant relationship between mother's education level and insurance with DMFT index (p<0.05).

Due to the high prevalence of decay of deciduous teeth in 7- and 8-year-old students, training courses to enhance oral health literacy for parents and students, increasing children's access to oral health services can be effective in preventing dental caries in children.

Discrete concrete targets show more resistance to penetration against shaped charges. The purpose of this study is to simulate the penetration of shaped charge in discrete concrete targets using LS-DYNA and ANSYS-AUTODYN and compare the results. For this purpose, the simulation process for one of the experimental results is performed and the results obtained from both software are validated. Finally, the results of two software in the fields of jet velocity, penetration depth, entry diameters, middle and exit crater, and run time are compared. Application of the ALE method for jet elements and the RHT concrete model to simulate the concrete behavior at high strain rates yielded good results. Differences in numerical solution method and command differences in the interaction of the Lagrangian and Eulerian elements in two software caused the depth of penetration in ANSYS-AUTODYN to be less than the LS-DYNA and the diameters of entry, middle and exit crater in ANSYS-AUTODYN become larger than the LS-DYNA and closer to the experimental results. The results of the two software are in good agreement with the experimental results. Continuous concrete was also simulated and it was found that the penetration depth of discrete concrete was lower than continuous concrete.

The reaction of 2-bromo-1-(3-nitrophenyl) ethan-1-one with (tri-p-tolylphosphane) in acetone as solvent was led to effective ylide of 1-(3-nitrophenyl)-2-(tri-p-tolyl- λ5-phosphanylidene) ethan -1- one (NTPPY) (1). Then binuclear complexes of the type [HgX2 (ptolyl)3PCHCOC6H4NO2)] (X = Cl, Br and I), were prepared by the reaction of title ylide with mercury (II) halides in equimolar ratios, using dry methanol as solvent. The final products were characterized by IR, 1H, 13C, 31P NMR spectroscopic methods. The solid-state structure of (1) was established by X-ray crystallography analysis. Computational studies at DFT (B3LYP/6-31G*) level of theory were used to confirm ylide reactive site.

The purpose of the study is to investigate the moderating role of institutional investors 'ownership percentage on the relationship between investors' emotional tendencies, stock returns and fluctuations in stock prices. The spatial domain of this research is the companies admitted to the Tehran Stock Exchange and the realm of time between 2009 and 1394. In this research, the emotional tendencies of independent variable investors, institutional investors, moderating variables and stock returns and fluctuating stock prices were considered as dependent variables. , The research method is applied in terms of its purpose, in terms of its nature as descriptive research, and also in the method of research is correlated in the research field. Based on the systematic elimination method, 107 companies were selected as the statistical sample. The results of the research showed that there is a significant and positive relationship between the emotional tendencies of investors and the return on shares of the companies admitted to the Tehran Stock Exchange. There is a meaningful and positive correlation between the emotional tendencies of investors and the fluctuation of stock prices of the companies admitted to the Tehran Stock Exchange. Institutional investors have an impact on the relationship between investors' emotional tendencies and the return on shares of companies admitted to the Tehran Stock Exchange. Institutional investors have an impact on the relationship between investors' emotional tendencies and fluctuations in stock prices of companies admitted to the Tehran Stock Exchange.

The main purpose of this research is to test the effect of the rational speculative bubbles and the political cycle based on the theory of constraint on the total rate of return in selected companies of the chemical and petroleum industry (51 companies) In the Tehran Stock Exchange during the period of 2009-2016 by econometric model of panel data. Therefore, the determination and estimation of the model of the research was performed based on the diagnostic tests of the fixed effects method. The results of the estimation of each of the model represent the confirmation of the positive and significant relationship between the independent variables and political cycles (in two periods of fundamentalism and moderation), as well as three variables in the model such as; capital cost, earnings, and operating cash flow, which are based on the theory of constraints. Of course, all the research control variables were obtained on the dependent variable of the companies under review. So, based on the estimation and testing the research model of the research, the hypothesis has been approved, it is also states that political cycles as a limiting factor in the price bubbles have a significant impact on the real rate of return in the chemical and petrochemical industry group companies. Finally, the suggestions based on the results of the research are presented to adjust the impact of the political cycles on the total real stock return rate.