Confrencea

THE INFLUENCE OF ENVIRONMENTAL FACTORS ON SUNFLOWER (HELIANTHUS ANNUUS L.)

2026-06-08T10:10:47+03:00

This article presents information on the importance of achieving high technological quality indicators of sunflower in the Republic of Uzbekistan through the application of various agro technologies. It also discusses the significance of sunflower seeds for human health when consumed, their role in the prevention and treatment of various diseases, as well as the plant’s requirements for environmental factors.

PATTERN RECOGNITION METHODS FOR ANALYZING AND PREVENTING WEB-BASED MALWARE ATTACKS

2026-06-01T08:11:00+03:00

Web-based malware attacks represent one of the most dangerous cybersecurity threats affecting modern digital infrastructures. Traditional security systems often struggle to identify sophisticated malware because attackers use encryption, obfuscation, and polymorphic techniques to avoid detection. This study investigates the application of pattern recognition methods for analyzing and preventing web-based malware attacks. The proposed framework integrates machine learning algorithms and intelligent behavioral analysis techniques to recognize suspicious activities within web environments. Pattern recognition technologies analyze malware signatures, user behavior, network traffic anomalies, and abnormal request patterns to classify malicious activities accurately. The study demonstrates that intelligent cybersecurity systems can significantly improve malware detection accuracy and reduce system vulnerabilities. Experimental observations confirm that pattern recognition methods provide adaptive and scalable protection against evolving web-based cyber threats.

THE ROLE OF COMMUNICATIVE LANGUAGE TEACHING IN IMPROVING ENGLISH SPEAKING SKILLS

2026-06-08T09:00:42+03:00

The development of communicative competence has become one of the primary goals of modern English language education. Traditional methods of language teaching often focused on grammar rules and vocabulary memorization, while contemporary approaches emphasize the practical use of language in real-life situations. Communicative Language Teaching (CLT) is recognized as one of the most effective methods for improving students' speaking abilities and overall language proficiency. This article examines the principles of Communicative Language Teaching, its advantages, challenges, and its impact on learners' speaking skills. The study highlights how communicative activities encourage students to participate actively in classroom interactions, develop confidence, and improve fluency in English. The findings suggest that the implementation of communicative approaches contributes significantly to successful language acquisition and prepares learners for effective communication in academic and professional environments.

PRINCIPLES OF NEURO-FUZZY-BASED INTELLIGENT ROUTING IN DATA COMMUNICATION NETWORKS

2026-05-25T16:30:20+03:00

The development of data communication networks and the increasing complexity of their topologies have increased the demand for efficient routing methods. This thesis considers the principles of intelligent routing based on Neuro-Fuzzy Systems in data communication networks. The proposed approach is based on integrating the learning capability of artificial neural networks with the decision-making mechanism of fuzzy logic. Interface buffer load, routing metrics generated by routing protocols, and route reliability are selected as the main parameters. The study results indicate that Neuro-Fuzzy systems represent a promising approach for processing uncertain information and forming intelligent routing mechanisms.

QUALITY OF SERVICE (QoS) MANAGEMENT IN MODERN TELECOMMUNICATION NETWORKS

2026-06-07T16:46:48+03:00

The rapid growth of digital communication services has significantly
increased the demand for reliable and efficient telecommunication networks.
Modern users expect uninterrupted access to voice, video, cloud computing, and data
services with minimal delays and high quality

AN INTELLIGENT PATTERN RECOGNITION–BASED APPROACH FOR DETECTING VIRAL THREATS IN WEB-BASED INFORMATION SYSTEMS

2026-05-25T10:15:19+03:00

The rapid expansion of web-based information systems has significantly increased cybersecurity challenges associated with malicious web threats. This study proposes an intelligent approach for detecting viral threats in web environments using pattern recognition techniques. Modern cyber threats such as Cross-Site Scripting (XSS), malicious iframe injections, obfuscated JavaScript code, unauthorized web-shell deployment, and suspicious URL manipulations are considered as the primary research objects

РОЛЬ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ТЕХНОЛОГИЙ В ПРЕПОДАВАНИИ РУССКОГО ЯЗЫКА

2026-06-09T12:00:25+03:00

В статье рассматривается значение современных образовательных технологий в процессе преподавания русского языка. Анализируются возможности использования информационно-коммуникационных технологий, интерактивных методов обучения и цифровых образовательных ресурсов для повышения эффективности обучения. Особое внимание уделяется развитию коммуникативной компетенции обучающихся, формированию устойчивой мотивации к изучению русского языка и совершенствованию языковых навыков. Отмечается, что внедрение инновационных технологий способствует активизации познавательной деятельности учащихся и повышению качества образования

Reassessing the Impact of Labor and Innovation on SEZ Output: An Econometric Approach

2026-06-02T16:37:47+03:00

This study reassesses the determinants of production output in Special Economic Zones (SEZs), focusing on the roles of labor and innovation. Using annual data from 2010 to 2025 of Qashqadarya, the analysis applies Ordinary Least Squares (OLS) regression, including both linear and log-linear specifications. Initial results indicate a high explanatory power, with R² exceeding 0.96, suggesting strong relationships between variables. However, further diagnostic testing reveals severe multicollinearity among independent variables and the presence of strong time trends. After refining the model and applying a log-linear specification, labor remains a statistically significant determinant of output, while innovation loses significance when controlling for time effects. This suggests that the apparent influence of innovation may be driven by shared upward trends rather than a direct causal relationship. The findings highlight the importance of rigorous diagnostic testing in econometric modeling, demonstrating that high R² values can be misleading. The study concludes that careful model specification is essential to avoid incorrect economic interpretations.

SECURE CLOUD-BASED BACKUP METHODS FOR MOBILE DEVICE DATA PROTECTION

2026-06-08T12:45:20+03:00

The rapid growth of mobile technologies has significantly increased the amount of personal and corporate data stored on smartphones and tablets. As mobile devices become essential tools for communication, business operations, education, and financial transactions, ensuring the security and availability of data has become a critical concern. Cloud computing offers scalable and cost-effective solutions for data storage and backup. However, the transmission and storage of sensitive information in cloud environments introduce various security challenges, including unauthorized access, data breaches, and cyberattacks. This article examines secure cloud-based backup methods for mobile device data protection. It discusses encryption techniques, authentication mechanisms, backup architectures, and modern security frameworks designed to ensure confidentiality, integrity, and availability of mobile data. The study highlights the importance of integrating advanced security technologies into cloud backup systems to protect users from data loss and cyber threats

AN ARTIFICIAL INTELLIGENCE–BASED FRAMEWORK FOR IDENTIFYING CYBER THREATS IN WEB APPLICATIONS

2026-06-01T08:14:03+03:00

The development of web technologies and online communication platforms has created new cybersecurity challenges related to the increasing number of cyber threats targeting web applications. Traditional intrusion detection systems often fail to identify advanced attacks because they rely on static rules and predefined signatures. This study presents an artificial intelligence–based framework for identifying cyber threats in web applications using machine learning and pattern recognition technologies. The proposed system analyzes network traffic behavior, user activities, and web request anomalies to detect malicious actions in real time. Artificial intelligence algorithms such as Neural Networks, Random Forest, and Support Vector Machines are integrated into the framework to improve threat classification performance. Experimental results demonstrate that AI-driven security systems achieve higher detection accuracy and better adaptability compared to conventional cybersecurity methods. The study confirms the effectiveness of artificial intelligence technologies for strengthening web application security and preventing modern cyberattacks

THE IMPACT OF DIGITAL TECHNOLOGIES ON ENGLISH LANGUAGE LEARNING

2026-06-08T09:05:06+03:00

The rapid development of digital technologies has significantly transformed the field of education, particularly in language learning. English language instruction has benefited greatly from technological innovations such as online learning platforms, mobile applications, artificial intelligence tools, virtual classrooms, and multimedia resources. These technologies provide learners with greater access to authentic materials, personalized learning experiences, and opportunities for communication beyond the traditional classroom environment. This article examines the impact of digital technologies on English language learning, highlighting their advantages, challenges, and implications for modern education. The study demonstrates that technology-enhanced learning environments contribute to improved language proficiency, learner motivation, and autonomous learning skills. Furthermore, digital tools support interactive and student-centered approaches that help learners develop communication skills necessary for success in the globalized world

DEVELOPMENT OF A MACHINE LEARNING MODEL FOR EARLY DETECTION OF MALICIOUS WEB ATTACKS IN INFORMATION SYSTEMS

2026-06-01T08:09:07+03:00

The rapid growth of web-based information systems has significantly increased cybersecurity risks and the number of malicious web attacks targeting digital infrastructures. Traditional security systems based on static rules and signature analysis are often unable to detect sophisticated and previously unknown cyber threats. This study focuses on the development of a machine learning model for the early detection of malicious web attacks in information systems. The proposed framework applies intelligent data analysis and pattern recognition methods to identify suspicious activities within web traffic and user behavior. Machine learning algorithms such as Decision Trees, Random Forest, and Support Vector Machines are used to classify web activities as normal or malicious. Feature extraction and anomaly detection techniques are integrated into the system to improve detection accuracy and reduce false-positive rates. Experimental analysis demonstrates that machine learning technologies can effectively detect cyber threats at early stages before significant damage occurs. The proposed model provides scalable and adaptive protection mechanisms for modern web environments and contributes to the development of intelligent cybersecurity systems.

SECURITY OF WIRELESS NETWORKS: ENCRYPTION AND AUTHENTICATION METHODS IN THE CORPORATE ENVIRONMENT

2026-06-07T16:50:53+03:00

Wireless networks have become an essential component of modern corporate
infrastructure, providing employees with flexible and convenient access to
organizational resources.

ADAPTIVE MONITORING MODEL FOR DETECTING ANOMALOUS ACTIVITIES IN WEB-BASED INFORMATION SYSTEMS

2026-05-25T10:22:17+03:00

This thesis proposes an adaptive monitoring model for detecting anomalous activities in web-based information systems. The growing number of cyber threats targeting web applications, including malicious scripts, session hijacking, unauthorized access attempts, and abnormal traffic manipulations, highlights the necessity of improving web monitoring mechanisms. The research focuses on developing an adaptive approach for real-time detection of suspicious activities through web traffic analysis and behavioral monitoring

THE IMPORTANCE OF MATHEMATICS IN MODERN SCIENCE AND TECHNOLOGY

2026-06-05T14:53:08+03:00

Mathematics is one of the most fundamental disciplines that supports scientific discoveries, technological innovations, and everyday decision-making processes. It provides a universal language for understanding patterns, solving problems, and modeling real-world phenomena. From engineering and physics to economics and computer science, mathematical principles play a crucial role in advancing human knowledge and improving living standards. This article discusses the significance of mathematics in modern society, its applications in various fields, and its contribution to technological development. The study highlights how mathematical thinking enhances analytical skills and promotes innovation in the digital age

ALGORITHMS FOR RELIABLE AND ENCRYPTED MOBILE DATA BACKUP IN CLOUD COMPUTING ENVIRONMENTS

2026-06-08T12:49:09+03:00

The increasing use of mobile devices has generated a growing demand for reliable and secure data storage solutions. Smartphones and tablets are widely used for personal communication, financial transactions, business operations, and educational activities. As a result, the protection of sensitive information stored on mobile devices has become a critical issue. Cloud computing offers efficient backup services that enable users to store and recover data remotely. However, ensuring data confidentiality, integrity, and availability remains a major challenge. This article examines modern algorithms used for reliable and encrypted mobile data backup in cloud computing environments. It discusses data encryption techniques, backup scheduling algorithms, deduplication methods, integrity verification mechanisms, and fault-tolerant storage architectures. The study highlights the importance of combining advanced security algorithms with efficient backup management strategies to improve data protection and system reliability

The importance of special economic zones in the Kashkadarya region

2026-06-02T16:32:18+03:00

This article analyzes the investment activity of special economic zones (SEZs) in Kashkadarya. It details tax and customs privileges, a developed infrastructure system, a favorable business environment, regional specialization, export potential, attraction of foreign investments, development of innovative technologies and other features. The article also presents statistical indicators of SEZs in Kashkadarya region in recent years, analyzes their contribution to the country's economic development, and uses the Stata 17 program to determine the number of observations, average values, standard deviations and minimummaximum limits, and conducts econometric analysis. The results and conclusions from the study indicate that the benefits of economic and industrial zones in this region will also be an effective mechanism for the economy of Uzbekistan

МЕХАНИЗМЫ ПОВЫШЕНИЯ СОЛЕУСТОЙЧИВОСТИ РАСТЕНИЙ ПОД ДЕЙСТВИЕМ РИЗОСФЕРНЫХ МИКРООРГАНИЗМОВ

2026-05-13T12:17:57+03:00

Засоление почв является одним из ключевых факторов, ограничивающих продуктивность сельскохозяйственных культур и устойчивость агроэкосистем. В последние годы особое внимание уделяется роли ризосферных микроорганизмов в повышении солеустойчивости растений. В данной работе рассматриваются основные механизмы взаимодействия растений и микроорганизмов ризосферы в условиях солевого стресса. Показано, что ассоциированные микроорганизмы способны повышать адаптационный потенциал растений за счёт синтеза фитогормонов, улучшения минерального питания, регулирования осмотического баланса и снижения токсического воздействия ионов натрия. Особое значение имеют процессы стимуляции антиоксидантной системы растений и индукции системной устойчивости. Сделан вывод о том, что использование ризосферных микроорганизмов является перспективным направлением в повышении устойчивости растений к засолению и развитии устойчивого сельского хозяйства.

A COMPARATIVE ANALYSIS OF CULTURAL AND STYLISTIC PRESERVATION IN THE ENGLISH TRANSLATION OF GAFUR GULOM’S “SHUM BOLA”

2026-05-15T14:39:15+03:00

This article explores the linguistic and cultural complexities involved in translating Gafur Gulom’s seminal picaresque novella, Shum Bola, from Uzbek into English. As a masterpiece defined by its rich use of the Tashkent dialect, traditional askiya (wit), and pastoral metaphors, the work presents a significant “linguistic wall” for translators. Using a qualitative comparative method, this study analyzes specific instances of translation loss, focusing on culture-specific items, idiomatic expressions, and stylistic registers. The findings reveal a persistent trend of semantic flattening and over-domestication, where vivid animal-based similes and nomadic architectural terms are replaced by generic English equivalents. Furthermore, the analysis highlights how the neutralization of the protagonist’s “street” register diminishes the irrepressible “Shum” spirit intended by the author. The study analyzes by suggesting that a move toward stylistic loyalty and dynamic equivalence is essential for preserving the ethnolinguistic identity of Uzbek literature in the global literary market. Rather than prioritizing simple readability, future translations should aim to preserve the rhythmic energy and metaphorical grit that define Gulom’s unique narrative voice.

USING POLITE AND PERSUASIVE LANGUAGE IN DISCUSSION AND NEGOTIATION

2026-05-15T15:07:10+03:00

Abstract. This article examines the importance of using polite and persuasive language in discussion and negotiation within the framework of communicative language teaching and modern linguadidactics. The study argues that politeness strategies and persuasive expressions play a crucial role in developing communicative competence, intercultural awareness, and conflict-resolution skills among English language learners. Drawing on pragmatic theory, discourse analysis, and classroom-based observations, the research demonstrates that teaching learners how to negotiate meaning politely enhances their linguistic flexibility, emotional intelligence, and professional communication abilities. The findings reveal that integrating polite and persuasive language into interactive speaking tasks significantly improves learners’ confidence, sociolinguistic sensitivity, and ability to maintain constructive communication in academic and workplace settings.

ETHICS AND INTEGRITY IN RESEARCH COMMUNICATION: CHALLENGES AND MODERN ISSUES

2026-05-15T15:22:46+03:00

This article examines the importance of using Ethics and integrity are fundamental principles in research communication that ensure the credibility, reliability, and transparency of scientific knowledge. In recent years, the rapid growth of digital technologies, open-access publishing, and artificial intelligence has created new ethical challenges in scholarly communication. Issues such as plagiarism, data fabrication, predatory journals, misinformation, authorship disputes, and conflicts of interest threaten the integrity of research and public trust in science. This article examines the major ethical principles in research communication, analyzes contemporary challenges, and discusses strategies for promoting responsible research practices. The study highlights the importance of honesty, accountability, transparency, and ethical publishing standards in maintaining scientific integrity in the modern era.

OBSERVED TRANSFORMATIONS OF NATIONAL-CULTURAL COMPONENTS IN ARTIFICIAL INTELLIGENCE-BASED TRANSLATIONS OF SHUKUR KHOLMIRZAYEV’S SHORT STORY “THE CHARACTER OF THE UZBEKS”

2026-05-17T20:27:41+03:00

This article is devoted to a comparative analysis of the changes and specific features observed in national and cultural components during the translation of Shukur Kholmirzaev’s short story “The Character of the Uzbeks” into English by artificial intelligence. The study examines which translation methods and strategies are used by AI tools when translating literary texts from Uzbek into English, as well as what kinds of changes occur in meaning and sentence structure during the translation process. In addition, the article presents alternative translation methods and examples aimed at reducing shifts in national-cultural elements and preserving the original meaning while making the text clear for the reader. As a source material, the English translation of the short story produced by Shukhrat Sattorov was selected.