درخت حوزه‌های تخصصی

Nowadays, business process management (BPM) contributes to the success of companies by ensuring that their processes are both effective and efficient. A comprehensive description of a business process can serve as a foundation for designing IT systems, ensuring data quality, establishing performance metrics, and implementing processes using Business Process Management Systems (BPMS), among other applications. Currently, many Iranian companies are also interested in evaluating their Business Process Management (BPM) practices. In recent decades, significant advancements in the digital realm have become increasingly vital for companies, making it essential to utilize these developments effectively to impact business processes. Consequently, the current research has ranked BPM measurement methods within the context of digital transformation, employing the COCOSO hierarchical analysis technique in Semnan Industrial Town. In this context, BPM measurement methods and measurement criteria with the digital transformation approach and data quality, are derived from a review of the research literature. Subsequently, an appropriate BPM evaluation method is identified using a multi-criteria decision-making approach. The results of this ranking indicate that BPM measurement models grounded in comprehensive quality management are the most appropriate. Additionally, a sensitivity analysis has been conducted to validate these findings. 

The term “cloud computing (CC)” has been extensively studied and utilized by major corporations since its inception. Within the realm of cloud computing, various research topics and perspectives have been explored, including resource management, cloud security, and energy efficiency. This paper explores the intersection of data quality and business process management within the context of cloud computing. Specifically, it examines how Quality of Service (QoS)-driven task scheduling algorithms in cloud environments can enhance data quality and optimize business processes. Cloud computing still faces the significant challenge of determining the most effective way to schedule tasks and manage available resources. We need effective scheduling strategies to manage these resources because of the scale and dynamic resource provisioning in modern data centers. The purpose of this work is to provide an overview of the various task scheduling methods that have been utilized in the cloud computing environment to date. An attempt has been made to categorize current methods, investigate issues, and identify important challenges present in this area. Our data reveals that 34% of researchers are focusing on makespan for QoS (Quality of Service) metrics, 17% on cost, 15% on load balancing, 10% on deadline, and 9% on energy usage. Other criteria for the Quality of Service (QoS) parameter contribute far less than the ones mentioned above. According to this study, scheduling algorithms commonly used by researchers include the genetic algorithm in bio-inspired systems and particle swarm optimization in swarm intelligence 80% of the time. According to the available literature, 70% of the studies have utilized CloudSim as their simulation tool of choice. Our findings suggest that current methodologies mainly employ genetic algorithms and particle swarm optimization, with CloudSim being a popular simulation tool. Ongoing work emphasizes refining scheduling strategies to enhance resource management in dynamic data center environments, providing crucial insights into future quality-of-service (QoS)-driven scheduling algorithms for cloud computing.  

Visual impairment significantly impacts physical activity participation, often leading to reduced fitness levels among affected individuals. This study aims to compare the physical fitness characteristics of male and female goalball athletes aged 14-20 years, a critical developmental period for performance enhancement. A total of 100 athletes (50 male, 50 female) were assessed for strength, endurance, power, flexibility, and balance through various standardized tests. Results indicated significant differences in hand grip strength, medicine ball throw distance, vertical jump, and balance, with males outperforming females (p < 0.05). No significant differences were found in push-up and sit-up performance, suggesting comparable endurance capabilities across genders. These findings underscore the necessity for gender-specific training regimens to address identified disparities, particularly in strength and power. The study contributes to a limited body of literature on the physical fitness of goalball players and highlights implications for inclusive training strategies that enhance athletic performance regardless of gender. Future research should explore the correlation between physical fitness attributes and on-court performance metrics to further inform coaching practices.

Childhood, as the first and most significant period of a person's life, is the founder of children's abilities and creativity (between 2 and 10 years of age). During these years, the child is highly affected by the environment and shows a high level of curiosity about the surrounding environment. Due to the presence of a majority of children aged 2 to 6 years in kindergartens and the need to pay serious attention to their open spaces for the education and development of children's creativity, this article explains the factors affecting the growth of children's creativity in the open spaces of kindergartens. In this regard, some of the effective factors in the development of children's creativity that should be considered in the design of the open spaces of these buildings are provided using the descriptive survey research method. The statistical population of the study included educators and kindergarten staff. Structural equations were used in SPSS and AMOS software to analyze the data. According to the results of the study, it can be stated that the development of children's creativity will not be possible only through educational programs but also through flexible spaces, using natural elements, and children's participation, which will children's creativity. In this regard, the component of children's participation is the most effective in the growth and development of children's creativity. After that, space flexibility, natural elements, space playability, color and light, kind, sense of security, and space legibility, respectively, have the highest effect on the development of children's creativity.

Gridshell structures are a type of bending-active structures. In the present study, bending-active grid structures are selected since it is simple to construct curved elements to create exciting and diverse architectural forms with minimum manufacturing energy consumption and minimum wastage of materials, they are strong shells against all kinds of forces and are less addressed in Iran. In this regard, the present study tries to determine the optimal geometric form of grid shells by comparing different geometries. Also, it investigates the geometry of anticlastic, synclastic, and free forms to help improve the structural performance of the bending-active grid shell. The hardness of these shells fully depends on their shape, therefore efficient forming helps to control their hardness and structural behavior. The structural performance of the grid shell is analyzed using Kangaroo Physics and Karamba plugins in Grasshopper software. In constructing bending-active gridshell structures, the shell geometry is drawn based on the changes in numerical variables such as geometric dimensions, opening length, etc., using the digital form-finding method in Kangaroo Physics and Karamba plugins in Grasshopper software and Galapagos optimization, and the final optimal form is designed. Next, the form is investigated against various stresses and loads including bending, shear, etc. The final model, selected by comparing different geometrical modules, shall have the lowest stress and the least displacement so that it can be significantly effective in designing and constructing the optimal forms of temporary bending-active gridshell structures.

Objective: This study aimed to present a structural model of the quality of life for the elderly based on self-care with the mediating role of social support. Methods: The research employed a correlational design using structural equation modeling. The study population consisted of individuals aged 60 to 75 years living in urban homes in Tehran, with 314 participants selected as the research sample. The data collection tools included the Iranian version of the Phillips Social Support Questionnaire (1986), the World Health Organization's Quality of Life Questionnaire (1989), and the Elderly Self-care Questionnaire by Younesi et al. (2020). The statistical technique used was a full latent variable structural equation model, and the data analysis was performed using SPSS version 26, AMOS version 24, and R software version 4.3.1. Examination of the model fit indices indicated that the model overall is in excellent condition for explaining and fitting the data. Findings: The results showed that both social support and self-care have a significant positive effect on the quality of life variable for the elderly. Moreover, the self-care variable also has a significant positive impact on the social support variable at a 95% confidence level. Additionally, the self-care variable significantly affects the quality of life of the elderly through the mediating variable of social support. Conclusion: According to the findings of this study, the mediating role of social support can play a significant role in examining changes in the quality of life of the elderly. It is recommended that the importance of social support be emphasized and taught in elderly care centers and other counseling and guidance centers.