Kurgan State University

Simulation analysis of the dynamic balance of the reed part in the beating-up mechanism of a loom to study effective parameters.

This paper focuses on the development and optimization of crepe fabric production using advanced weaving techniques. Crepe fabric is highly valued for its unique texture and elegant appearance. Producing this fabric requires precise control of yarn tension and mechanical paramete...

TELETWIN AI: AN AI-BASED DIGITAL TWIN FOR INTELLIGENT TELECOMMUNICATION NETWORK MONITORING AND FAULT PREDICTION

The growing complexity of telecommunication networks makes monitoring and fault detection increasingly difficult, while traditional rule-based methods rarely identify problems before they affect users. This paper proposes TeleTwin AI, an artificial intelligence-based digital twin...

AN ALGORITHM FOR SELECTING AN OPTIMAL CLASSIFICATION METHOD FOR COMPUTER NETWORK TRAFFIC

This paper addresses the development of an algorithm for selecting an efficient method for classifying objects in computer network traffic. The study analyzes rule-based packet classification, matching types, including exact, prefix, and range matching, as well as the priorities...

AN ALGORITHM FOR SELECTING AN OPTIMAL CLASSIFICATION METHOD FOR COMPUTER NETWORK TRAFFIC

This paper addresses the development of an algorithm for selecting an efficient method for classifying objects in computer network traffic. The study analyzes rule-based packet classification, matching types, including exact, prefix, and range matching, as well as the priorities...

Contactless palmprint identification using CompNet on the IITD and SMPD databases

Contactless palmprint recognition is attractive for mobile biometrics, yet how well a learned representation transfers between acquisition settings is rarely measured. Using CompNet - a compact network of learnable Gabor filters and competitive coding — we apply one unified proto...

MATHEMATICAL MODELING OF DATA STRUCTURES IN MODERN SOFTWARE SYSTEMS

This article examines the mathematical modeling of data structures used in modern software systems. The study considers arrays, linked lists, stacks, and queues and analyzes their mathematical representations and computational characteristics. Particular attention is paid to time...

THE MAIN METHODS, TOOLS, AND FEATURES OF IMPROVING EMPLOYEE LABOR DISCIPLINE

The study examines the essence of labor discipline, its types and principles, as well as the methods and tools for ensuring and managing labor discipline. The specific features of maintaining labor discipline in Uzbekistan are identified. Scientific proposals and practical recomm...

EXPERIMENTAL STUDIES OF INFLUENCE PATTERNS OF TRAINING IN A DRIVING SCHOOL ON TIME OF DRIVERS' REACTIONS

The study objective is to identify the influence patterns of training in a driving school on the psychophysiological characteristics of students, which are of great importance for road safety. Theoretical studies have revealed the prerequisites for a significant correlation betwe...

Physiological and biomechanical foundations of speed-strength qualities in 11–14-year-old female boxers

This article presents a structured narrative review of the physiological, biomechanical, and sports-pedagogical foundations of speed-strength qualities in 11–14-year-old female boxers, integrating evidence from 20 peer-reviewed sources published between 2000 and 2026. The analysi...

Optimal Methods for Approximating the Riemann–Liouville Fractional Integral in the Sobolev Space

We construct and analyze optimal quadrature formulas for the right-sided Riemann–Liouville fractional integral in the Sobolev space L2(m)(t,1), using φ,φ′,…,φ(m−1) at N+1 equally spaced nodes. The analysis is carried out through the Peano kernel of the error functional, for which...

Exploring user trust in generative AI feedback in academic writing: a psychometric network analysis

Generative artificial intelligence is increasingly embedded in the academic writing practices of learners of English as a foreign language, yet research has commonly represented learner evaluations through construct averages. This exploratory mixed-methods study used psychometric...

Wild Edible Morels in Uzbekistan: Ethnomycological Knowledge and Seasonal Use Across Wooded and Dryland Habitats

Wild edible morels are among the most recognisable spring fungi in Uzbekistan, yet their species‐level identity, locality‐based distribution and ethnomycological significance remain incompletely documented. This review synthesises evidence concerning Morchella esculenta (L.) Pers...

ARTIFICIAL INTELLIGENCE IN INCLUSIVE EDUCATION: OPPORTUNITIES, CHALLENGES, AND FUTURE DIRECTIONS

Artificial Intelligence (AI) is transforming educational practices by creating innovative opportunities to support inclusive education and improve learning outcomes for students with diverse educational needs. AI-powered technologies, including adaptive learning platforms, intell...

A genomic resource for a hidden endemic: the complete chloroplast genome of Allium aktauense from Uzbekistan

<ns5:p> <ns5:italic>Allium aktauense</ns5:italic> is a narrow endemic species from the Aktau Range in the Nurotau Mountains, Western Pamir-Alay, where it grows in rocky limestone crevices. Genomic resources for this species have not previously been available, limiting molecular u...