Volume 6.
Issue 11.

This paper explores the critical role of ethics in moderating conflict resolution processes within organizations. Conflicts are inevitable in any workplace, and their resolution often hinges on the ethical frameworks employed by individuals and teams. By analyzing various case studies, the research highlights how ethical principles, such as fairness, transparency, and accountability, influence negotiation strategies and outcomes. The findings suggest that a strong ethical foundation can lead to more effective conflict resolution, fostering a culture of trust and collaboration. This study also emphasizes the importance of training and institutional policies that promote ethical behavior, ultimately contributing to improved organizational health and employee satisfaction.

The quality and shelf life of apples and apricots intended for export depend on effective storage methods and their physical properties. This study focuses on the storage and quality preservation of export-bound apples and apricots. During the research, the physical properties of the fruits, such as mass, volume, density, water content, pH levels, and thermal conductivity, were analyzed. It was determined that factors like water content, pH levels, and thermal conductivity are critical indicators defining the shelf life and export suitability of the fruits.

In this study, a mechatronic system was developed for the care of silkworms in multi-layer feeders. This system allows you to monitor and monitor the humidity and temperature in each layer using the DHT11 sensor. The results showed that humidity and temperature were kept stable by a mechatronic system, which positively affected the growth of silkworms and the production of high-quality silk. Compared to traditional methods, the system has made it possible to use resources more efficiently and save energy. The mechatronic system allows you to make the process of growing silkworms efficient and stable. This suggests that the method has great prospects in the development of the silk industry.

The advancement of vehicle automation and electrification requires a new generation of functional-safety strategies that extend beyond conventional quality-management (QM) approaches. This paper presents a comprehensive study on the transition from QM to Automotive Safety Integrity Level D (ASIL-D) within the ISO 26262 framework and examines how artificial intelligence (AI) technologies enhance safety, reliability, and fault tolerance in modern vehicles. Using secondary data analysis combined with thematic evaluation of ADAS, lighting, and battery management systems, the research investigates practical applications across Advanced Driver Assistance Systems (ADAS), lighting control, and battery-management systems. The findings reveal that AI improves fault-detection accuracy, predictive diagnostics, and adaptive risk mitigation, supporting more reliable safety-critical operations. However, challenges such as algorithm explainability, validation under uncertainty, and long-term assurance remain barriers to certification. The study concludes by proposing a hybrid validation model that combines deterministic FuSa principles with AI-driven verification, enabling data-centric compliance for next-generation mobility. These insights contribute to safer, smarter, and more sustainable automotive engineering practices

In the Cardio-Rheumatology Department of the Samarkand Regional Multidisciplinary Children’s Clinical Center, we conducted clinical and electrocardiographic analyses of 50 young patients diagnosed with non-rheumatic myocarditis (NM) between 2020 and 2021.

Findings: The study revealed that 86% of young children diagnosed with non-rheumatic myocarditis had a history of acute respiratory infections. The clinical symptoms of non-rheumatic myocarditis were as follows: general weakness (88%), excessive sweating (86%), cough (50%), cyanosis around the lips and nose (58%), and pale, marble-like skin (76%). A muffled heart sound was observed in all patients, while a “gallop” rhythm was detected in 32% of cases. Other findings included tachycardia (80%), arrhythmia (14%), extrasystole (14%), and bradycardia (4%).

ECG changes: Rhythm disorders: Sinus tachycardia (88%), sinus arrhythmia (12%), extrasystole (14%), and sinus bradycardia (6%). Right ventricular hypertrophy was identified in 24% of cases, while left ventricular hypertrophy was observed in 46%. Cardiomegaly was detected in 20% of the patients. Our investigation showed that sinus tachycardia (88%) and weakening of the first heart sound at the apex (72%) were common cardiac signs. In comparison, studies by O.A. Mutaf’yan and Yu.M. Belozerov reported tachycardia in 65% and 62.5% of cases, respectively. However, symptoms such as bradycardia, arrhythmia, and extrasystole were two times less frequent in our study than in those of Yu.M. Belozerov (2014) and O.A. Mutaf’yan (2016).