This research aims to gain an overview of the evaluation results and the many challenges to implementing machining competency test certification (CTC) in Vocational High Schools (VHS). The research approach to evaluating this program is a qualitative method using the analysis of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The program evaluation design in this study uses the Assessment Evaluability and Performance Monitoring (AEPM) model, which has four evaluation components: Context, Inputs, Activities, and Performance Monitoring. The subjects involved in data collection through the distribution of questionnaires of five VHS in the Special Capital Region of Jakarta. The technique of determining all subjects using the Purposive Sampling technique. The results showed the level of effectiveness of the implementation of the machining CTC program. Some dimensions need to be strengthened, especially for the “less and “very lacking” category. Finally, the approach presented in this research using the AEPM model is a step forward in the analysis of the CTC program. This approach can easily be replicated in other countries with similar aims as this research.

Due to the complicated problems coming from excessive applications of insecticides, searching for safe substitutes to these insecticides has become a necessity. Thus, the insect growth regulators are candidates to be used in such concern. Comparative studies of the effects of three compounds, 2-benzoyl-N-phenylhydrazine-1-carbothioamide (1), 2-(cyanoacetyl)-N-phenylhydrazine-1-carboxamide (2) and N-(2-(2-cyanoacetyl)hydrazinecarbonothioyl)furan-2-carboxamide (3) (an insect growth regulator inhibiting chitin synthesis), were conducted on Spodoptera littoralis (Boisduval, 1833). The compounds, orally administered, caused larval mortality proportional to the concentrations in the food source. larvae were unable to complete the molting process and died in the old larval cuticle. Larvae contaminated by sublethal doses completed their development to adulthood. N-(2-(2-cyanoacetyl)hydrazinecarbonothioyl)furan-2-carboxamide (3) is more active than the other compounds have LC50 17.082 ppm for 2nd instar larvae and 60.832 ppm for 4th instar larvae.

Starting from 3-cyano-4,6-distyrylpyridin-2(1H)-thione (1), the compound N-(4-chlorophenyl)-2-((3-cyano-4,6-distyrylpyridin-2-yl)thio)acetamide (2) was prepared. Compound (2) underwent cyclization upon heating in ethanolic sodium ethoxide solution to give the corresponding cyclized form 3-amino-N-(4-chlorophenyl)-4,6-distyrylthieno[2,3-b]pyridine-2-carboxamide (3). The elemental analyses and spectroscopic data of compounds (2) and (3) are in agreement with their proposed structures. Their insecticidal activity against cowpea aphid, Aphis craccivora Koch, was studied. The results of insecticidal activity for compounds (2) and (3) against the nymphs and the adults of the tested insects exhibited that compounds (2) and (3) have a higher insecticidal activity than that of acetamiprid, a reference insecticide, after 24 h of treatment.

Breakthroughs and advances in translation technology by virtue of AI-powered MT tools and techniques contributed significantly to providing near-perfect translation. This study aims to evaluate the accuracy of three translation technologies (Google Translate, Gemini, and ChatGPT) in translating multidisciplinary Arabic research titles in the Humanities and Social Sciences into English. A corpus of 163 titles of Arabic research articles from various disciplines, including media studies, literature, linguistics, education, and political science, was extracted from a Scopus-indexed journal, namely Dirasat: Human and Social Sciences Series. The research methodology in the present study lends itself largely to Koponen’s (2010) translation error strategy framework. Based on the data analysis, the findings showed that the renditions provided by these programs were categorically marked with either sense or syntax errors, which often rendered the translations inaccurate. Many polysemous terms with multiple related senses were mistranslated. The results showed that the Gemini translations contained the least errors. In contrast, the human translations contained the least mistranslation and diction errors. Google Translate and ChatGPT, on the other hand, contained the highest number of equivalence-based errors. Unexpectedly, the human translations contained the highest number of syntactic errors, reflecting a lack of target language proficiency. The study's conclusions and findings would be beneficial to translators, students, and scholars who may consider translating their Arabic study research titles and abstracts through the most commonly used AI tools.

Technology development has influenced various fields, and financial field is one of them. Applying new technologies in financial field has led to the emergence of a new kind of reporting called Internet Financial Reporting, and is used increasingly day by day due to the increasing use of internet. Adopting this kind of reporting has caused changes in the process of informing stockholders and other users. Since increasing and updating information quality can influence on decision makers to buy/sell their stock certificate, and, on the other hand, the demand for buying and selling stock certificate might influence on stock price, we aimed to evaluate the effect of internet financial reporting on the stock price of listed companies in Tehran Stock Exchange. For this purpose, a group of companies was selected as the experimental group, and some others as the control group. Then, we investigated stock price changes in both groups, and compared changes. The results indicate that internet financial reporting had no effect on the stock price in the investigated companies.

The aim of this paper is to determine the training courses’ efficiency in Tehran municipality based on Kirkpatrick’s model. The population of the research includes all training courses performed in Tehran municipality in 2008. Using a simple random sampling method, one training period was chosen, which includes 206 participants, 103 financial managers and rest their direct supervisors. For gathering relevant data in first level (reaction), third level (skill), fourth level (objective) and fifth level (rate of investment return), closed-ended questionnaire based on the Likert scale was used. For the second level (learning), we employed scores obtaining from masters in charge of training course (post-test). Our results show that in terms of the mayors’ point of view, training courses in all levels except the second level had significant impact while financial managers saw these courses insignificant in all levels. Furthermore, it is found that both the mayors and financial managers were pessimistic about the second level. Results of present research can have significant implications for educational policymakers in order to improve the training courses.

This research aims to evaluate the quality of the in-service trainings for the employees of Islamic Azad University (Buin-Zahra Branch) using CIPP model in 2013. Statistical population of the research includes all employees who participated in in-service trainings from 2003 to 2012. Cronbach & apos; s alpha was used as one of the methods for evaluating the reliability in this research, and the reliability coefficient in case of the mentioned questionnaire was obtained as 0.80. Moreover, the study used structural equation modeling in order to assess the reliability of the questionnaire, while this method confirmed its reliability. Besides, content validity and construct validity methods have been used to examine the validity of the questionnaire, and the results confirmed the validity of the mentioned questionnaire. Then, the obtained data of the questionnaire were analyzed using SPSS, Smart PLS and LISREL software packages in two categories of descriptive and inferential section. The results of the analysis show that the dimensions of context, input, process, and product are at a desirable level for the in-service trainings of employees in Islamic Azad University (Buin-Zahra Branch). Additionally, the findings show that there was a significant relationship between the different dimensions of the quality evaluation of the in-service trainings of the employees of Islamic Azad University, Buin-Zahra Branch.

The essence of moving the organizations and companies toward the implementation of the Business Intelligence (BI) in the current competitive and complex atmosphere is not unfamiliar for any manager. By online analytic processing, the Business Intelligence analyzes the business data and creates a suitable context for making accurate and smart decisions. Neither as a product nor as a system but as the architecture and a new approach, the Business Intelligence has contained a set of analytic and applied programs. Since the managers have to identify the required infrastructures in creating the mentioned architecture before any applicable measures, the probable failures must be also considered and then solved by the managers. This study has been carried out in the Mellat Bank, meanwhile, the infrastructures for creating the BI has been identified and evaluated and subsequently, the findings has been discussed as well.

Software Architecture (SA) is one of the most important artifacts for life cycle of a software system because it incorporates some important decisions and principles for the system development. On the other hand, developing the systems based on uncertain and ambiguous requirement has been increased, significantly. Therefore, there have been significant attentions on SA requirements. In this paper, we present a new method for evaluation of performance characteristics based on a use case, response time, and queue length of SA. Since there are some ambiguities associated with considered systems, we use the idea of Fuzzy UML (F-UML) diagrams. In addition, these diagrams have been enriched with performance annotations using proposed Fuzzy-SPT sub profile, the extended version of SPT profile proposed by OMG. Then, these diagrams are mapped into an executable model based on Fuzzy Colored Petri Nets (FCPN) and finally the performance metrics are calculated using the proposed algorithms. We have implemented CPN-Tools for creating and evaluating the FCPN model.

The nature of different activities in production, agriculture as well as distribution and consumption section, called as expansionist activities, largely influence the ability of the land. Production of consumable material, which is required for increasing population in various areas, and their attractions make it possible to earn more profit and it causes a significant pressure on soil and water resources and can threaten environmental pollution and human food security. A self-interested attitude on land resources has led to run short-term programs without considering the ecological capability of the land. These mentioned problems are, significantly intensified particularly in arid and semi-arid areas with severe limitations of water and soil quality and quantity. Therefore, land allocation based on ecological capability and self-purification indexes, used for land use planning, is an appropriate response to meet the deficiencies noted. This paper studies the agricultural capable lands based on land capability. The proposed study uses GIS software capabilities with application of the environmental ability evaluation model, as a holistic approach, to make sustainable development research in the region. The results indicate that suitable lands for agriculture in the whole area in different classes are widespread and with regards to dependency of more than 90 percent of people to agricultural activities, serious attention of authorities is required for providing the appropriate baseline and avoiding land use change to develop this activity.