محمد رحمتی

The geographical positioning of Automated Teller Machines (ATMs) is a pivotal data point that significantly aids in the analytical process and decision-making for a multitude of critical banking and economic determinations. Given the constraints imposed by the insular viewpoint prevalent in the nation’s banking ecosystem, maintaining a consolidated perspective of all ATMs’ geographical locations is not feasible. In this study, we utilized the ATM Location Prediction (ATMLP) algorithm to determine these machines’ geographical coordinates. This data is indispensable and plays a cardinal role in the implementation of a multitude of artificial intelligence algorithms.

The ATMLP algorithm comprises three primary stages. The first stage involves constructing a bipartite user-location graph. The relationship between users is derived from transactional interactions, while the relationship between geographical locations is established using devices with known locations. The second stage involves the computation of two crucial indices: spatial similarity and neighborhood similarity, within the ATM network using the bipartite graph. This stage also includes a time-space distance finding module, which has two steps in its procedure: finding co-located ATMs and then clustering them. Distance-based features are assigned to edges because they reflect the similarity level between the pair of ATMs, nodes connected by edges. The third stage of the algorithm fine-tunes the results for better accuracy. In this process, low-confidence edges are filtered out by leveraging similarity metrics from the previous stage and cosine similarity between pairs of ATMs. In the end, the algorithm reports the geographical latitude and longitude for each ATM, plus the probability score indicating how correct it is.

By leveraging 2100 ATM locations (a portion of the data available in Datis Arian Qeshm Company) and examining 562609790 transactions in four months from the start of April 2022 to the end of July 2022, we identified the location of 4000 existing ATMs across the country belonging to 12 banks. The results obtained indicate a high credibility of the algorithm (80.95%).

In this study, we applied a developed method in banking to predict edges in location-based social networks, and using it, we accurately estimated the geographical coordinates - latitude and longitude - of ATMs on a national scale. Location-based social networks, due to data integration at multiple levels, enable problem-solving that was previously impossible. The use of these methods has less processing cost and higher speed due to the use of algorithms and graph-based databases, and they provide more accurate results. This study has significant implications for future research in banking technology, particularly about location prediction for ATMs.

The research method of this study was composite and exploratory. In the qualitative part, the content of the scientific documents was first analyzed and classified, Moreover, 11 experts and subject matter experts, who were selected purposefully using the snowball method, were interviewed until saturation criterion was reached. In the quantitative part, survey and applied methods were used. The statistical population of this research included all employees of 10 prisons in Kermanshah province. Using stratified random sampling, 100 people were selected as a statistical sample. For the causal analysis of the presented model, confirmatory factor analysis and structural equation model have been conducted. The results of this research showed that in identifying the mental and social health training needs of prison employees in Kermanshah province, a number of 103 primary indicators were obtained. These indicators were then divided into 12 general factors and 2 categories of mental health and social health. According to the results of the interviews and the Delphi method, self-acceptance, self-control, personal growth and development, psychological well-being, emotional well-being, quality of life, perceived justice, social participation, group belonging, social adaptation, social trust, social support are the most important needs of mental health education for the employees of prisons in Kermanshah province.

The purpose of this study is to assess the needs and provide a comprehensive model of mental and social health education for the families of prison staff in Kermanshah province. The statistical population in a small part included the families of all prison staff in Kermanshah province in 1399. Using stratified random sampling, 100 people were selected as a statistical sample. Delphi method and semi-structured interview were used to obtain qualitative data. For qualitative analysis, MAXQDA software and coding process were used, and in the quantitative part, confirmatory factor analysis and structural equation modeling, SPSS and SMART PLS software were used. The results of the present study showed that in identifying the mental health and social health education needs of the families of prison staff in Kermanshah province, 103 primary indicators were obtained, which were classified into 12 general factors and 2 categories of mental health and social health. Were. Based on the results of the Delphi interview and method, self-control acceptance, personal growth and development, mental well-being, emotional well-being, quality of life, perceived justice, social participation, group belonging, social adjustment, social trust, social support are the most important needs of mental health education. Socially, the families of the prison staff are in Kermanshah province. Fitting of the comprehensive model of mental and social health education of the families of prison staff in Kermanshah province was also reported based on favorable structural equations.

With the increasing interest in Joint Photographic Experts Group (JPEG) image compression, one of the most important issues in digital image manipulation is finding a proper method to detect double JPEG compression. This paper introduces a trained adaptive filter based on spatial-domain convolutional autoencoder (CAE). This filter can remove interference information caused by image content to have a more accurate detection. The convolutional neural network (CNN) has been widely employed for accurate image classification; therefore, a CNN is used in the classification part of the proposed algorithm. The proposed model is based on consecutive CAE with CNN, which is able to provide acceptable detection accuracy and sensitivity to quality factors (QFs) in two scenarios, i.e. aligned and non-aligned forgeries. This model improves the sensitivity to quality factors by up to 86% in the relative error reduction (RER) rate in some cases. Other experiments such as manipulation localization on the RAISE dataset have been performed to evaluate the proposed method. These results show the superior performance of this method compared to similar algorithms in the situations that the quality factor of the second compression is greater the quality factor of the first compression.

Abnormal event detection (AED) in urban surveillance videos has multiple challenges. Unlike other computer vision problems, the AED is not solely dependent on the content of frames. It also depends on the appearance of the objects and their movements in the scene. Various methods have been proposed to address the AED problem. Among those, deep learning based methods show the best results. This paper is based on deep learning methods and provides an effective way to detect and locate abnormal events in videos by handling spatio temporal data. This paper uses generative adversarial networks (GANs) and performs transfer learning algorithms on pre trained convolutional neural network (CNN) which result in an accurate and efficient model. The efficiency of the model is further improved by processing the optical flow information of the video. This paper runs experiments on two benchmark datasets for AED problem (UCSD Peds1 and UCSD Peds2) and compares the results with other previous methods. The comparisons are based on various criteria such as area under curve (AUC) and true positive rate (TPR). Experimental results show that the proposed method can effectively detect and locate abnormal events in crowd scenes.

Explaining the criteria of efficiency in any industry, is one of the prerequisites for investing and choosing a company in that industry. Investors of Tehran Stock Exchange use certain criteria for selecting stocks from the banking industry due to the complexity of financial statements and its accounting procedures. The purpose of this paper is to evaluate the banking system of the country in terms of efficiency based on accounting indicators. this paper seeks to answer what are the criteria for accounting efficiency in the Riba banking industry in Iran? And among the criteria in the literature, which criteria are considered by investors and what is the ranking of these criteria? To answer these questions, we used TOPSIS methods. According to the results of paper, Out of 15 accounting efficiency criteria, 10 criteria were approved, which we can refer to the ratio of the reserve of doubtful receivables to facilities and return on equity. From the investors' point of view, the return on equity is the most important factor in examining the shares of banks. The ratio of doubtful receivables to facilities is also the second most effective efficiency indicator from the perspective of investors. In finally, deposit facility percentage is the third indicator selected by investors.

Criminal policy based on New Right thinking, believing that clinical preventive policies are ineffective, views crime prevention as only possible through a severe criminalization, The right-wing neoliberal policies, in the process of globalization, have had an impact on the public policy of governments and consequently on the criminal justice system. Governments in Iran, in economic crises, saw no other way than to turn to the capitalist system and adopt neoliberal economic, political solutions, while free economic development created a "liberal capitalist" value system. And it has changed the cultural and social dimensions of the country. In this respect, the security approach of criminal policy has also extended to the field of culture. Of course, factors such as populist and mass-oriented tendencies have also had no effect on the criminalization of culture. The findings of the study indicate that there is a significant relationship between Iran's criminal policy and the idea of modern right-wing criminology based on economic policy making. This research is applied in terms of its purpose and in terms of its nature and method, it is descriptive-analytical, the necessary information is gathered and analyzed in citation and library.

Curcuminoids as a natural antioxidant have many therapeutic activities such as rheumatoid arthritis, multiple sclerosis, Alzheimer's and atherosclerosis. Curcuminoids have very low solubility in the aquatic environment, limiting its potential applications in the food and pharmaceutical industries. In this study, nanocompleted curcuminoids were added to the pasta with different percentages (0, 0.001, 0.005, 0.01, 0.05 and 0.1) and the rheological, physicochemical and sensory properties of the pasta were measured. The results showed that moisture content, ash, protein, and rheological properties of pasta were not significantly different with the addition of nano-micellized curcuminoids. Also, the outflow of solids in the baking water increased and the baking weight decreased. With increasing nanocrystalline curcuminoid percentages, factor L * and a * decreased and factor b * increased. Sensory evaluation by panelists showed no significant difference in aroma, taste and odor but overall acceptance of pasta increased with increasing curcuminoid.

Mental structures and people’s perceptions of social issues and problems are so diverse and multilayered, from which there is sometimes no proximity between people’s descriptions of a single problem. Identifying the imagination of the designers, the executives, the partners, and the critics of SHABNAM has been the aim of this study, in which the theoretical spheres of the program have been drawn in separate logic models by “Program Theory Evaluation”. “Program Theory” in the science of Evaluation explains how an intervention leads to a specific outcome chain. For this purpose, next to studying the relevant documents, 16 of the most influential people in a logical model, and ultimately the policy recommendations have been uttered.

The theory of right-wing criminology, in the 1970s, following the widespread financial crisis in the West, based on neoliberal economic policies, has brought about changes in the criminal policy of countries. Criminal policy emphasis under this criminology model is a socio-economic prevention strategy and efforts are being made to increase the costs of committing crimes and reduce the opportunity for criminal offenses, in this criminal policy model, Determining punishment from the traditional form of proportionality to crime shifts to defining proportionate punishment for risk.

It is analytically descriptive in nature and methodology, where necessary information is collected and analyzed in a citation and library manner.

This theory of criminology did not appear in the Islamic Republic of Iran's justice system two decades after the Islamic Revolution. Political developments in Iran, especially after the Islamic Revolution, paved the way for tougher criminal reactions to safeguard the revolution's achievements. From this perspective, punishment is a manifestation of the life and identity of a society that tends to respond strongly to an attack on norms and values.

This study was conducted to identify the key components of manager's dysfunction from the perspective of the employees in Educational organization and is a mixed method research. In the qualitative part of the research, using focus groups and semi-structured interview, the components of managers dysfunction from the perspective of 10 educational management experts were selected through purposive sampling, 90 components were identified in economic, political, and organizational dimensions. In quantitative part, researcher – made questionnaire was designed to measure the level of manager's dysfunction in organizations based on likert scale. The questionnaire was distributed among 50 employees of four governmental in Educational organization and the reliability of the data was calculated by Cranach's alpha formula for economic components 0.88, political components 0.95, personal components 0.98, social components 0.96, and organizational components 0.97. The statistical population consisted of 430 employees of four governmental in Educational organization. The sample size was calculated as 200 individuals by Cochran formula. Then, one sample t-test, binominal ratio, and Friedman multiple comparisons test were used for data analysis. The findings of this study showed that more than 60% of the employees believe that the identified dysfunctional components were to a great or very great extent influential on the manager's dysfunction .Also, the results of Friedman test showed from the perspective of the employees that the economic and organizational components have the most influence on the manager's dysfunction. finally, composing a comprehensive charter for selecting managers based on meritocracy, developing ethical leadership , providing necessary and quality skill and communication trainings prior to taking the responsibility of management, and applying strict rules for the managers violations is suggested.

Groundwater is a major source of drought. Karstic aquifers are important sources of groundwater in the West and Kermanshah province. This study was performed to investigate the effects of the meteorological drought on the karstic aquifer with different conditions of development. The studied areas in this research included two karstic aquifers, Bistoon-Parau and Patagh mountain in Kermanshah province. In this study, we used monthly precipitation and springs discharge during a period of 20 years. Accordingly, the SPI and SDI indices were used to investigate the different states of meteorological and hydrological droughts, respectively. To determine the relationship between meteorological droughts and groundwater, Pearson correlation was used; aalso, to determine the time delay, the correlation between the different time conditions (no delay and delay 1 to 6 months) of the SDI index and the SPI index was investigated. The results of the relationship between the meteorological drought and groundwater showed that both had a significant correlation (p-value: 0.01). Also, based on the results of the correlation between different time conditions (no delay and delay 1 to 6 months) ,the SDI index was compared to the SPI index, showing that the time delay between the occurrence of meteorological drought and groundwater in the studied areas without time delay or a maximum one-month delay had happened. Based on the results, Pearson correlation coefficients between the SPI and SDI indices in the Bistoon-Parav region were more than those of the Patagh mountain region indicating the development of the Bistoon-Parav karst region, as compared with the Patagh Mountain.