Muhammad Rakhimkhan I – The Powerful Khan Of Khiva

This article provides a comprehensive analysis of Muhammad Rakhimkhan I’s accession to the throne, detailing the political circumstances that led to his rise to power. It explores the domestic and foreign policies of the Khiva Khanate during his reign, highlighting key administrative, economic, and social reforms. Additionally, the study examines his military campaigns, assessing their impact on regional stability and the expansion of the khanate’s influence. By evaluating his leadership and governance, the article offers insights into the historical significance of Muhammad Rakhimkhan I’s rule and its lasting effects on the political and socio-economic landscape of the Khiva Khanate

Cross-Curricular Approaches to Language Learning In Primary Education

This article explores cross-curricular approaches to language learning in primary education, emphasizing how integrating language learning with subjects such as mathematics, science, arts, and social studies can foster holistic cognitive and linguistic development in children. As educational practices increasingly favor interdisciplinary learning, this study investigates how a cross-curricular approach impacts young learners’ motivation, engagement, and language acquisition, particularly in multilingual or English as a Foreign Language (EFL) contexts. The methodology involves a qualitative review of recent scholarly literature, classroom case studies, and theoretical frameworks in pedagogy and linguistics. Findings suggest that cross-curricular integration supports meaningful communication, enhances vocabulary development, promotes critical thinking, and bridges the gap between academic subjects and real-world language use. This approach aligns with constructivist theories, which argue that learning is most effective when knowledge is constructed through meaningful contexts. The article concludes that cross-curricular language learning offers a promising route to more inclusive, engaging, and effective primary education and provides suggestions for best practices in implementation

Literature In Traditional Vs Modern Education

Literature has been a vital part of education for centuries, contributing to the development of critical thinking, cultural understanding, and communication abilities. Traditional education mainly focused on classical works, memorization, and teacher-led instruction, often emphasizing moral values and historical significance. In contrast, modern education has adopted a more dynamic approach, integrating diverse perspectives, digital tools, and interactive methods. This evolution enables students to analyze and interpret literary works more deeply and creatively. This paper examines the distinctions between traditional and contemporary literature teaching methods, discussing their advantages and challenges. Additionally, it explores how technological progress and changing educational philosophies have reshaped the role of literature in today’s classrooms. Gaining insights into these transformations can help enhance literary education and make it more engaging for modern learners

The Importance of The Personnel Management System in Improving The Product Quality Management System

In the context of economic modernization, the effective organization of labor and human resource management plays a pivotal role in improving production efficiency and reducing costs. For manufacturing enterprises in Uzbekistan, the strategic development of a personnel management system is essential to ensure high productivity, employee motivation, and adaptability to technological and organizational change. Despite growing attention to quality management systems, there remains a lack of practical frameworks integrating personnel development with production cost efficiency. This study aims to examine the significance of personnel management in enhancing the quality management system at manufacturing enterprises and proposes practical measures for improving human resource utilization. The findings underscore that proper planning of workforce size, efficient hiring practices, continuous professional development, and the implementation of a performance-based evaluation and reward system significantly contribute to reducing production costs and improving labor productivity. The article highlights a comprehensive model that connects personnel management functions with economic indicators of enterprise success, emphasizing the socio-psychological and organizational aspects of labor activity.Enhancing the personnel management system is crucial for strengthening enterprise competitiveness, achieving rational labor organization, and ensuring sustainable economic performance. The proposed measures serve as a foundation for developing effective HR strategies aligned with the evolving demands of the industrial secto

Disease Prediction Using Artificial Intelligence

Artificial intelligence (AI) is increasingly recognized as a transformative tool in healthcare, offering advanced capabilities in disease prediction through data-driven modeling. The proliferation of big data in medical diagnostics has rendered traditional analytical approaches insufficient, particularly for identifying complex patterns in patient health. Most AI models are built on Western datasets and lack contextual adaptability for developing countries, including Uzbekistan, where unique environmental and genetic factors affect disease manifestation. This study aims to develop and evaluate a hybrid AI-based disease prediction system that integrates regional environmental, lifestyle, and genetic data, tailored to Uzbekistan’s healthcare context. The proposed model enhances diagnostic accuracy and supports early detection of chronic diseases such as cardiovascular disorders and diabetes. It demonstrates the feasibility of cloud-based implementation across both urban and rural clinics, ensuring broader accessibility. The approach uniquely incorporates localized factors such as air quality and hereditary patterns into AI algorithms, enabling culturally relevant and personalized health assessments. Moreover, it employs explainable AI and federated learning to improve transparency and data privacy. This research has practical value for national health policy and infrastructure, offering a scalable, ethical, and predictive tool for improving public health outcomes. It may serve as a prototype for similar health systems in developing countries facing comparable demographic and resource challenge

Organizing Work in the Development of the Digital Economy, Forming Modern Information Technologies to The Fund Market

In the current period of world development and in the near future, the qualitative development of economic sectors, social sphere and state management system is directly related to the level of coverage of digital technologies. The 21st century is the age of technology, and in such conditions, information technologies and digitization processes are the main factor in the development of each country, and the level of development of each country is determined by the level of implementation of digital economy and technologies in this country. On this basis, the prospects of our country's development are also related to the development of the digital economy and the level of coverage of digital technologies

Visual Product Identification Apps for Visually Impaired

Outwardly disabled individuals confront challenges when utilizing smartphones due to reliance on touch screens and restricted openness. This consider addresses this issue and centers on item distinguishing proof whereas shopping. Smartphone applications that basically utilize touchscreens restrain openness, particularly in shopping regions where there's a need of real-time data around items accessible to outwardly disabled individuals. Proposed arrangements incorporate standardized tag checking or picture acknowledgment to get moment item data, encouraging autonomous decision-making when moving through the store. This inquire about centers on comprehensive applications custom-made to person needs, joining voice commands and advanced image acknowledgment to extend freedom and make a total shopping involvement. Item distinguishing proof is exceptionally critical for outwardly impeded individuals when shopping freely. Advances such as name reading, barcodes, and voice acknowledgment empower you to create educated choices approximately wellbeing and safety-related items. Item mindfulness and talk cultivates social integration, and innovations such as barcodes and mobile apps with picture acknowledgment give nitty gritty item data. Item distinguishing proof makes a difference within the work environment and makes strides efficiency by making hardware simpler to get it and utilize. Profound learning calculations, particularly convolutional neural systems (CNNs), are revolutionizing machine vision and exceeding expectations at protest acknowledgment errands. For visual item distinguishing proof, these calculations coordinated content acknowledgment and standardized identification acknowledgment to supply point by point data and make strides openness. This think about looks at later  advances in deep learning algorithms for visual product identification apps and highlights the need for publicly accessible interfaces and compliance with accessibility standards. Solving usability issues, integrating voice recognition, and providing real-time information  are critical to improving effectiveness and user experience. The objective of the research is to propose and validate an improvised deep learning algorithm for a visual product identification app for  visually impaired people. Goals include identifying opportunities for improvement, proposing effective algorithms, and evaluating applications using appropriate metrics. The importance of this research lies in improving accessibility, improving user experience, and promoting independence for visually impaired people. This scope includes various dataset tests on common retail products with limited device quality and potential challenges in identifying visually similar products

Scientific and Theoretical Interpretation of Socio-Psychological Aspects of Sanogenic Thinking

The article presents a socio-psychological classification of sanogenic thinking. The advanced experience of foreign scientists makes it possible to analyze the traditions of the scientific and theoretical study of the socio-psychological aspects of Sanogen thinking

Use of Marketing Strategies in the Development of Industrial Enterprises

To ensure the modernization and technical re-equipment of the enterprises operating in our country today, to organize new modern production capacities in the automotive industry and textiles, food and pharmaceuticals, information and telecommunications networks and other areas operating on the basis of high technologies. special priority is being given

The role of Abū Ḥafṣ Nasafī in the development of the teaching of Māturīdiyyah

This article provides information about the life and scientific activities of the encyclopedist Abū Ḥafṣ Nasafī, as well as about the role in the correct interpretation of the doctrine and creed of Māturīdiyyah. The article also covers the philosophical interpretation of knowledge and understanding in the work “‘Aqāid al-Nasafīyah”