Academic resilience is crucial for students, especially in higher secondary education, where students face numerous challenges that can impact their academic performance. This study aims to explore the factors influencing academic resilience among higher secondary school students. A mixed-methods approach was adopted, with quantitative surveys and qualitative interviews conducted across multiple schools. Results indicate that personal motivation, family support, peer relationships, and school environment significantly contribute to resilience. The findings emphasize the importance of providing holistic support systems to enhance students' academic resilience, ensuring they can overcome academic challenges and thrive in their educational journey.

The rapid evolu tion of artificial intelligence–driven visual perception systems has fundamentally transformed how societies interpret, trust, and act upon visual information. Object detection models, once limited to constrained industrial or surveillance contexts, now permeate safety-critical domains including autonomous systems, digital forensics, content moderation, and human–AI interaction. Simultaneously, the emergence of highly realistic generative models—particularly diffusion-based image synthesis—has introduced unprecedented ethical, technical, and epistemic challenges. These challenges extend beyond mere detection accuracy and enter the domain of ethical responsibility, bias mitigation, contextual awareness, and societal trust. This research article presents an extensive theoretical and analytical exploration of ethical robustness in object detection systems operating under conditions of synthetic image proliferation. Drawing upon contemporary advances in deepfake detection, vision transformers, multimodal analysis, and ethical AI frameworks, the article argues that object detection can no longer be treated as a neutral technical task. Instead, it must be understood as a socio-technical practice shaped by training data biases, contextual misalignment, and normative assumptions embedded within model architectures. Building upon recent ethical frameworks for bias-free and context-aware object detection (Deshpande, 2025), this work integrates insights from generative image detection research, classical and modern object detection paradigms, and security-oriented AI scholarship to articulate a comprehensive methodological approach for ethically aligned detection systems. The study adopts a qualitative, literature-grounded methodology, synthesizing findings across disciplines to interpret how ethical failures emerge, how they are amplified by generative manipulation, and how they may be mitigated through design, evaluation, and governance mechanisms. The results highlight persistent disparities in detection reliability across demographic and contextual dimensions, as well as the insufficiency of accuracy-centric evaluation metrics in capturing ethical risk. The discussion advances a critical rethinking of object detection as an interpretive act embedded within cultural, legal, and political structures, proposing future research pathways that integrate contextual reasoning, transparency, and normative accountability into the core of visual AI systems.

This article highlights the capabilities of young volleyball players to perform movements that determine the effectiveness of offensive and defensive actions, the main feature of which is the process of teaching physical training and training in children's and youth volleyball.

Special structures, objects, decorative elements, and bridges for buildings without elevators or special buildings. These elements constitute the main architectural and structural parts of the building. Each element performs its specific function and collectively ensures the stability and functional capabilities of the building.

The article examines the use of on-set editing as a modern technology for real-time video editing. Current trends in video production demand fast yet high-quality processing of footage directly on set, driven by the increasing volume of content, significant acceleration of production workflows, and the growing need for adaptability. The relevance of this topic is supported by advancements in automated editing technologies, improvements in video processing algorithms, and an increased focus on the importance of pre-editing preparation. However, contradictions are observed in scientific publications and online reviews between algorithmic approaches aimed at automation and traditional theoretical concepts that emphasize narrative logic and artistic editing principles.

The objective of this study is to analyze the specific features and nuances of on-set editing as a tool for real-time editing, considering its technical implementation, creative potential, and organizational-production aspects. The study identifies key advantages, including the acceleration of post-production, cost reduction in material reprocessing, and improved coordination between the production and editing teams.

The findings will be useful for researchers in digital filmmaking as well as industry professionals, including directors, editors, cinematographers, producers, and technical specialists involved in integrating editing solutions into the filming process.

Working capital management has long occupied a central position in corporate finance theory and practice, yet its conceptual boundaries and practical implications continue to expand as firms operate in increasingly complex, resource-constrained, and risk-sensitive environments. Traditionally examined through the lens of liquidity, profitability, and short-term financial stability, working capital management is now recognized as a strategic function that influences firm value, investment capacity, access to finance, and organizational resilience. This article develops an integrated and theoretically grounded analysis of working capital management by synthesizing evidence from corporate finance literature, small and medium-sized enterprise studies, banking and credit research, and emerging insights from organizational systems and management standards. Drawing strictly on the provided body of literature, the study offers an extensive conceptual elaboration of how working capital policies shape firm performance across different institutional contexts, business cycles, and stages of organizational development.

The article advances the argument that working capital management is not merely a technical accounting function but a multidimensional governance mechanism that connects operational efficiency, financial discipline, leadership quality, and risk management. Empirical findings from diverse economies such as Belgium, Brazil, Sri Lanka, Vietnam, Nigeria, China, Finland, and Poland demonstrate that the relationship between working capital components and profitability is contingent upon firm size, financial constraints, credit availability, and macroeconomic conditions. Furthermore, recent

research on bank credit, investment constraints, and bankruptcy risk underscores the role of working capital decisions in determining firm survival and long-term value creation.

In addition, the article conceptually extends the discussion by integrating insights from management system implementation studies, particularly those examining structured standards and leadership-driven organizational practices. Although originating outside traditional finance research, these studies provide valuable theoretical parallels for understanding how disciplined processes, leadership commitment, and continuous improvement frameworks can enhance the effectiveness of working capital policies. By positioning working capital management as part of a broader organizational system, this study contributes to a more holistic understanding of financial decision-making.

Methodologically, the article adopts a qualitative, theory-driven synthesis approach, critically interpreting prior empirical findings without introducing new numerical models or datasets. The results section presents a descriptive consolidation of established empirical patterns, while the discussion section explores theoretical implications, counterarguments, limitations of existing studies, and avenues for future research. The article concludes that effective working capital management represents a strategic capability that strengthens firm value, mitigates bankruptcy risk, and supports sustainable performance, particularly for small and medium-sized enterprises operating under financial constraints.

This article discusses the heat treatment temperature regimes of chromium-molybdenum steel and their impact on the material's mechanical properties. The main heat treatment methods, including annealing, normalizing, quenching, and tempering processes, are analyzed. The influence of various processing regimes on the formation of the structure and the operational characteristics of the steel is studied. Optimal parameters that enhance strength, ductility, and wear resistance are identified. The obtained results enable the development of efficient heat treatment technologies that meet the requirements of various operating conditions.

The article examines the impact of climate change-related problems on migration processes in Uzbekistan. In particular, migration sectors affecting agriculture, water resources, and economic opportunities are analyzed. Also, proposals and recommendations are made to address the problems arising in the structure of economic sectors and labor resources as a result of climate change.