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Recent advancements in neurophysiological recording technologies have led to significant complexities in managing large-scale neural data, creating potential bottlenecks in the storage, sharing, and processing within the neuroscience community. To address these challenges, we developed the Big Neuronal Data Framework (BNDF), a distributed high-performance computing (HPC) solution. BNDF leverages open-source big data frameworks, Hadoop and Spark, to offer a flexible and scalable architecture. We tested BNDF on three large-scale electrophysiological datasets from nonhuman primate brains, demonstrating improved runtimes and scalability due to its distributed design. In comparative analyses against MATLAB, a widely used platform, BNDF showcased over five times faster performance in spike sorting, a common task in neuroscience. This significant speed advantage highlights BNDF’s potential to enhance the efficiency of neural data processing and analysis, making it a valuable tool for researchers navigating the complexities of modern neural datasets. Overall, BNDF represents a promising approach to streamline the handling of extensive neural data in the field of neuroscience.

The study reported in this paper aimed at developing and validating a family-based mental empowerment program to enhance cognitive processes, psychological hardiness, and academic performance of slow learners. The present study was fundamental in nature. The statistical population included psychologists and exceptional children's education specialists, family education instructors, and parents of slow learners in Tehran. The sample population consisted of three professors in psychology and exceptional children's education from the University of Tehran, three family education instructors, and three mothers of slow learners, selected through purposive sampling. The validation process of the studied program was carried out in five steps (reviewing theoretical foundations, reviewing previous research and existing programs, developing program content, validating the content, and explaining the program validation). The Delphi method was used for program content development, triangulation and Lawshe's content validity index were employed for content validity determination, and the expert agreement percentage method was used for determining the program’s reliability. The overall content validity coefficient of the sessions stood at 85%, and the program’s reliability coefficient was 86%. The family-based mental empowerment program aimed at enhancing cognitive processes, psychological hardiness, and academic performance of slow learners demonstrated high validity and reliability. Therefore, this program can be used to improve the cognitive and academic status of slow learners.

Purpose: The main goal of this research is to design a model of human resource capabilities, with an emphasis on digital knowledge management, for Iran Oil Terminals Company. Method: This research is descriptive-survey in terms of research design, cross-sectional in terms of time, and applied in terms of purpose. It is categorized as exploratory research. The statistical sample consisted of 20 professors and senior managers from the Ministry of Oil in the qualitative section and 100 managers and experts from Iran Oil Terminals Company in the quantitative section. Data collection in the qualitative part was conducted through interviews and data analysis techniques, while the quantitative section utilized questionnaires and structural equation modeling techniques. Findings: The findings were categorized into 114 codes and 26 concepts, which were further grouped into three categories: human-behavioral capabilities, specialized-technical capabilities, and analytical capabilities. The research confirmed that the role of human resource capabilities in the growth and development of organizations is undeniable. It emphasized that human resources management must leverage this intra-organizational capital to foster organizational advancement and excellence. A lack of qualified human resources can be a significant reason for an organization's stagnation. Conclusion: The analysis revealed that human resource capabilities, with an emphasis on digital knowledge management, encompass behavioral, specialized-technical, and analytical capabilities. Ultimately, a suitable model for human resource capabilities, emphasizing digital knowledge management, was proposed for Iran Oil Terminals Company. Human resource capability is valuable, rare, irreplaceable, and difficult to imitate; thus, it is essential for creating sustainable competitive advantages. Proper utilization of human resource capabilities can enhance organizational performance. This study took a process-oriented approach to propose an integrated model that comprehensively considers key variables such as human resource capability and knowledge management effectiveness.

Online review sites and social media platforms have become crucial sources of information for consumers, greatly influencing their purchasing behavior and decision-making, especially in the food and beverage industry. However, not many studies have been carried out to understand how social media influences customers’ purchase intentions at fast-food restaurants. This paper examines the growing influence of social media attributes on purchase intentions, with a focus on the Malaysian context. Previous studies highlight the increasing importance of social media platforms as marketing tools and their impact on customers’ purchase intentions. The research explores the relationship between habit and informativeness and their influence on purchase intentions among young adults in fast-food restaurants. A purposive sampling method was utilized to gather data from 142 fast-food customers through a cross-sectional online survey. The research hypotheses were analyzed using the partial least square structural equation modeling. Key findings found that habit and informativeness have a significant positive impact on customers’ intentions to purchase at fast-food restaurants. The study contributes to the existing literature by highlighting the growing influence of social media on consumer behavior in the context of fast-food restaurants. It adds to our understanding of how social media platforms serve as effective marketing tools, particularly among young adults, and how they can influence purchase intentions. By understanding the interplay of habit, informativeness, and purchase intentions, businesses can develop more effective marketing strategies and foster stronger relationships with their customers.

Background: Understanding color preference in virtual environments is crucial for applications in digital design, human-computer interaction, and virtual reality (VR).Aims: This study examines how luminance, hue, and saturation influence color preference in VR settings, considering both environmental and perceptual factors.Methodology: A controlled VR experiment was used, where participants interacted with two distinct virtual zones designed to simulate different lighting conditions.Finding: The findings suggest that chromatic lightness and perceived hue play distinct roles in color preference, with evidence supporting Weber's Law of illumination adaptation. It was also shown that regions with elevated chroma exhibit more pronounced colors. Additionally, the participants' average color preferences were determined, and the appropriate modification rate was extracted by comparing the preferred colors to the average colors of the virtual spaces. One significant finding was that, cooler colors were favored to warmer ones, which is consistent with previous research on color preferences. Furthermore, a correlation between lighting circumstances and color preferences was established.Conclusion: The findings indicated that adjusting the hue, saturation, and brightness can improve the design of virtual environments by matching the tastes of users. These insights contribute to a deeper understanding of color perception in digital spaces and have implications for design, architecture, and cognitive science.