مطالب

This research investigated the development of a stock trading strategy for companies on the New York Stock Exchange (NYSE), a prominent global market. Data was acquired from established libraries and the Yahoo Finance database. The model employed technical analysis indicators and oscillators as input features. Machine learning classification algorithms were used to design trading strategies, and the optimal model was identified based on statistical performance metrics. Accuracy, recall, and F-measure were utilized to evaluate the classification algorithms. Additionally, advanced statistical methods and various software tools were implemented, including Python, Spyder, SPSS, and Excel. The Kruskal-Wallis test was employed to assess the statistical differences between the designed strategies. A sample of 41 actively traded NYSE companies across diverse sectors such as financial services, healthcare, technology, communication services, consumer cyclicals, consumer staples, and energy were chosen using a filter-based approach on June 28th, 2021. The selection criteria included a market capitalization exceeding $200 billion and an average daily trading volume surpassing 1 million shares. Evaluation metrics revealed that the designed random forest trading strategy achieved a good fit with the data and exhibited statistically significant differences from other strategies based on classification learning algorithm.

This study intended to unveil the impact of incorporation of positive psychology theory into English instructions on the preference for anxiety-reducing strategies among Iranian EFL learners. The participants consisted of 60 EFL learners, from Safir Institute, Tehran, Iran, at the intermediate level, who were selected out of 90 EFL learners selected on convenience sampling basis. The 60 learners selected on the basis of their scores from an Oxford Placement Test (OPT), given to the 90 learners, were split into two equal 30-member groups. Both groups were given the language anxiety reducing strategies (LARS) questionnaire as pretest. Then, positive psychology-based instructions were provided to the experimental group drawing on five types of positive psychology-based instruction techniques for 20 sessions. These five instruction techniques included gratitude, optimistic intervention, positive affirmations, savouring, and strength-building measures. The control group received no intervention concerning positive psychology, and learners followed the conventional syllabus of the language school. After the treatment, the two groups took the LARS questionnaire as post-test. The results of ANCOVA indicated that teaching positive psychology techniques significantly increased anxiety-reducing strategies preference among Iranian EFL learners.

The present study examined the comparability of Paper-Based (PB) and Computer-Delivered (CD) IELTS in the academic module reading section, focusing on Iranian IELTS candidates' cognitive and metacognitive strategies. The study intended to determine if the delivery mode had any impact on the use of these strategies. To this aim, 200 upper-intermediate learners were randomly selected and divided into two groups to participate in the study under the two aforementioned test conditions. They completed a test-taking strategy survey under both test conditions. Moreover, five participants from each test condition group took part in think-aloud protocols. The quantitative data were analyzed by means of Independent-sample t-test and Multivariate Analysis of Variance (MANOVA) to test the research hypotheses. Content analysis of the think-aloud protocols was also conducted to identify the strategies employed by the IELTS candidates in both PB and CD formats. The results revealed that the PB group had a significantly higher mean than the CD group on the cognitive and metacognitive processes used in academic IELTS. However, the think-aloud protocols indicated that, in many cases, these differences were minimal, with cognitive and metacognitive processes being similarly employed across both formats. Moreover, significant differences were observed between the PB and CD groups in their reading test-taking strategies. The implications of these findings for test preparation and design are discussed.

The influence of Iranian architectural art on Indian architecture is a category that is as old as the cultural-civilization relations between Iran and India, and according to historical evidence, its history goes back to the third century BC, when we witnessed that in the capital of the Mauryan empire, Patliputra, There were influences of Iranian architecture.This flow after the emergence of Islam in the 7th century AH / 13 AD. And especially after the formation of Islamic states in India, it became more intense. The art of Iranian-Islamic architecture with its unique characteristics was used in the construction of large mosques in India, and while combining with Indian architecture, it benefited from Indian materials that were suitable for the climate there. In this regard, Indian architecture benefited from the accuracy and subtleties of Iranian architecture, and from the combination of those two new and independent styles emerged in the art of architecture, which became known as the Indo-Iranian style. Before the Gurkanians came to power, the Indian aspect of this style was more obvious, but in the Gurkanian era, its Iranian aspect prevailed. This style in the construction of the tombs of Gorkani sultans was widely inspired by the garden tradition of the Safavid era.

Purpose- The widespread use of virtual platforms has become a common practice in present management, and rural areas are identified as a sector that can greatly benefit from this technology. Statistic data in the field of communication and information technology exhibit a significant increase in internet access in rural areas, a trend that is on the rise globally. The successful implementation of smart village initiatives in Asia shows a promising way to improve life in rural areas, overcome existing challenges, prevent the collapse of social structures, and counteract the problem of rural exodus. It can be argued that by advancing information technology and smart village initiatives, life quality in rural areas can be positively impacted.Design/methodology/approach- The research population comprised the entire statistical community of four districts in Kalar County. Three villages were randomly selected from each district, resulting in a total of 150 samples from 262 households, using the Cochran formula with a 5% error rate. The reliability of the questionnaire was confirmed through content validity and Cronbach's alpha.Finding- The results of this study indicated that the existing infrastructure for smart village development in the rural areas of Kalar County is in an unsatisfactory condition. Additionally, the level of knowledge and information of residents regarding the smartification process in the study area is insufficient. Moreover, the effectiveness of this emerging process in improving the life quality for the local population was not as impactful as expected. The driving and inhibiting factors affecting the development of smart villages in Kalar County do not align with optimistic expectations hindering the desired outcomes.

Purpose- This study examined the effects of non-revenue water (NRW) on organisation running costs and customer satisfaction. The intention was to describe the NRW's effects on the MUWASA's performance as a case study. Specifically, it identified factors prompting non-revenue water; described the NRW effects on organisation running costs; and examined the level of customer satisfaction towards service provision.Design/methodology/approach- A purposive sampling technique was used to pick respondents for the household survey and key informant interview. The study included 100 respondents (70 connected customers and 30 employees of the authority). MUWASA serves 5 zones of the municipality; therefore, the study obtained 70 connected customers from the five zones of the authority. The household survey and the key informant interviews (KII) were the main data collection methods, the survey technique was used to collect data from 100 respondents and seven were involved in key informant interviews.  Descriptive and inferential statistics and content analysis were used in data analysis.Findings- The findings have indicated that NRW affects the water utility revenue collection, and organisation running costs, which jeopardizes customer satisfaction with the organizational service delivery. Originality/value- Based on the National Water Policy of 2002 which aims at achieving sustainable, effective, and efficient development and management of Water Supply and Sanitation one of its objectives is to create an enabling environment and appropriate incentives for the delivery of reliable, sustainable, and affordable water supply and sanitation services. Therefore, the findings of this study are a catalyst for the improvement of the set policy objectives and enhance interventions where necessary.