مطالب

Background: Failures of communication usually occur during natural disasters, therefore signaling the importance of flexible networks. Unmanned Aerial Vehicles (UAVs) are anticipated to solve this problem by acting as on-the-move networks in the disaster-stricken regions. However, barriers that include challenges in UAV control coordination, resources allocation as well as security of the data being drawn are still pushing the technology backward. Objective: The article seeks to design and analyze enhanced heuristics for employing UAVs in disaster communications to enhance performance, availability, and security. Methods: Both primary, semi-structured interview and survey and post-disaster reports as well as secondary, computational analysis based on MATLAB and NS - 3 simulations were used as the data collection technique. Five algorithms: Multi-UAV Coordination, Dynamic Resource Allocation with Security, Hybrid Communication Framework, AI-Driven Path Optimization, Privacy-Preserving Data Sharing were implemented and incorporated. Theoretical models built on the basis of multi- objective optimization and the theory of games confirmed work ability to scale. Results: The introduced algorithms increased coverage by 75%, decreased latency by 27 percent, and also introduced 30 percent energy efficiency. Average privacy compliance levels floated above 90%, and an advanced resource allocation model achieved equal distribution. All these enhancements were affirmed in urban, rural and mountainous regions further proving versatility and stability. Conclusion: The article proposes a framework for UAV-enabled disaster communication system that can incorporate advanced algorithm and theoretical models to overcome the coordination challenge while ensuring the efficiency and security of the system. The presented results can be considered to be the reliable base for the UAVs usage in disaster situations.

Social adjustment functions as a connecting bridge in human interactions. High self-worth, by enhancing employees’ communication and interpersonal skills, provides a foundation for greater psychological well-being. In fact, a major portion of self-worth’s influence on mental well-being is realized through an individual’s capacity to establish constructive relationships with others in the workplace. The present study aimed to examine the mediating role of social adjustment in the relationship between self-worth and psychological well-being among employees. This research was applied in purpose and employed a descriptive-correlational design using structural equation modeling (SEM). The statistical population consisted of all 240 female employees of Zahedan Health Center in 2024, all of whom were included in the study through a census sampling method. Data were collected using Bell Adjustment Inventory (1961), Contingencies of Self-Worth Scale by Crocker et al. (2003), and Ryff’s Psychological Well-Being Scale (1995). Data analysis was conducted using SPSS 20 and LISREL software. Path analysis results revealed significant positive correlation between social adjustment and psychological well-being (r = 0.79, p < 0.01), between self-worth and social adjustment (r = 0.57, p < 0.01), and between self-worth and psychological well-being (r = 0.48, p < 0.01). The Sobel test yielded a Z-value of 12.45, which exceeded the critical value of 1.96. Therefore, at a 95% of confidence level, it can be concluded that social adjustment plays a significant mediating role in the relationship between self-worth and employees’ psychological well-being.

This study fills important gap in literature by examining how knowledge diplomacy can drive transformation in Iran’s education. Confronting outdated policies and rapidly shifting global benchmarks, in what ways can knowledge diplomacy be harnessed to promote lasting innovation and address the systemic obstacles facing Iranian schools? Drawing on a condensed Causal Layered Analysis framework, the research explores: surface-level patterns like policy changes and international partnerships, the economic and structural forces at work, dominant cultural narratives and ideologies, and deep metaphors that influence public and institutional mindsets. By streamlining methodological exposition, the paper remains sharply focused on practical implications for school leaders and policymakers. From this analysis, four future leadership scenarios emerge: An Alternative scenario marked by heightened global engagement; A Trend-Based scenario of slow progress amid cautious modernization; An Exploratory scenario prioritizing inward-looking reforms and curriculum design; A Back-casting scenario envisioning Iran as a hub of collaborative educational excellence. The findings demonstrate that embedding knowledge diplomacy strategically not only remedies current weaknesses in Iran’s schooling system but also lays down a solid foundation for far-reaching reforms that align domestic practice with international standards. The study concludes with targeted recommendations, urging educational leaders and policy architects to adopt proactive strategies, cultivate visionary leadership, and establish flexible policy frameworks. In doing so, Iran’s sector can become more innovative, responsive, and globally competitive. Beyond its immediate conclusions, this integrated analysis advances our understanding of how knowledge exchange and policy reform interact, offering a clear roadmap for sustained progress in today’s dynamic educational landscape.