Next Scientists Conferences

Prospects Of Using Artificial Intelligence In Fintech Companies

Eldashbaev Ikrambek Maxset uli — 2026-10-03

This paper examines the main directions of applying artificial intelligence (AI) technologies in fintech companies, their impact on operational efficiency, and the prospects for further development. The experience of AI application in credit scoring, fraud detection, customer service, and investment management is reviewed, along with the challenges related to data security, model transparency, and regulation. The potential of emerging directions such as generative AI and federated learning is also assessed.

Experimental Quality Assessment Of Sterile Nonwoven Surgical Gowns And Verification Of A Two-Stage Acceptance Method

Shohobidinova Dilafruz Erkinjon qizi — 2026-10-08

The paper presents experimental results for a single-use surgical gown made of SMS nonwoven fabric and sterilised with ethylene oxide. Physical-mechanical, biological, barrier and package-integrity indicators were measured. Priority control indicators were identified from the relation between the quality margin coefficient and the process capability index. The sterility test result and the sterility assurance level were interpreted separately, and resistance to 36-month storage and to external influences was assessed. A two-stage acceptance method, in which mandatory safety requirements are checked before the integral quality index is calculated, was verified on production lots.

Genre And Communicative Features Of Medical Documents In Uzbek And English

Orifjonova Madinaxon Azamjon qizi — 2026-10-05

This article develops a genre-based framework for comparing Uzbek and English medical documents. Clinical notes, diagnostic reports, discharge summaries, and patient information leaflets are distinguished by audience, purpose, information structure, and pragmatic function. A synthesis of research and functional examples supports a genre profile and clarifies the distinction between grammatical similarity and communicative equivalence.

Nature And Human–Environment Relations In English And Uzbek Literature: An Ecocritical Perspective

Gulomjonova Gulchekhra Farkhodjon qizi — 2026-10-03

This thesis examines the representation of nature and human–environment relations in English and Uzbek literature from an ecocritical perspective. Its central argument is that nature in literary texts should not be understood merely as a decorative background or a source of poetic imagery. It can function as an active component of human identity, memory, moral consciousness, cultural belonging, and social experience. The thesis compares selected aspects of William Wordsworth’s nature poetry with the nature-oriented poetic world of Abdulla Oripov. Although the two poets belong to different historical, geographical, and cultural contexts, their works demonstrate a common recognition that human experience is inseparable from the physical environment. Wordsworth frequently presents nature as a force that shapes individual consciousness and moral development, whereas Oripov often connects landscape with homeland, cultural memory, national belonging, and spiritual values. The thesis also considers the relevance of ecocritical interpretation to contemporary Uzbek literary studies, particularly in relation to environmental consciousness and the cultural significance of the Aral Sea crisis. The findings indicate that comparative ecocriticism provides a productive way of rereading English and Uzbek literature and demonstrates how literary representations of place contribute to a deeper understanding of the relationship between human beings and the natural world.

Current State And Comparative Pedagogical Analysis Of Using Artificial Intelligence In Training Interior Design

Rustamov Kamoliddin Ziyodulla o‘g‘li — 2026-10-03

This article analyzes modern trends in the use of artificial intelligence (AI) technologies in the process of professional and pedagogical training of future interior design teachers in higher education institutions. The study conducts a comparative pedagogical analysis of traditional pedagogical approaches and innovative educational models using generative AI tools (Midjourney, Stable Diffusion, DALL-E, BIM-integrated AI). The effectiveness of generative models in spatial thinking, composition creation, rapid visualization, and the development of didactic materials is evaluated. Furthermore, the formation of AI literacy among future specialists, issues related to copyright and creative uniqueness (originality), and their pedagogical solutions are highlighted.

Availability Of Thrombolytic Therapy After Optimization Of The Prehospital Stage Of Stroke Care

T. Akhtamov — 2026-10-08

Intravenous thrombolytic therapy is one of the most effective treatments for ischemic stroke; however, its benefit declines rapidly as time from symptom onset increases, which restricts its use to a narrow therapeutic window [1]. For large-vessel occlusion, endovascular thrombectomy has also become a standard of care [2]. Algorithms for prehospital diagnosis and routing can reduce time delays and increase access to reperfusion therapy [3, 4], which is essential for improving clinical outcomes.

Aim of the study. To evaluate the impact of prehospital stage optimization on the rate of reperfusion (thrombolytic and endovascular) therapy in patients with acute cerebrovascular accident (ACVA).

The Significance Of Artificial Intelligence In The System Of Teaching Phonetics

Ganiyeva Dildora Sagdullayevna — 2026-10-05

This article examines the teaching of phonetic learning materials using artificial intelligence (AI) within a digital education environment. The author analyzes the potential of AI technologies for developing pronunciation, intonation, and stress skills. Key areas include automatic pronunciation recognition and analysis, interactive phonetic exercises, personalized learning, visual representation of intonation and stress, the use of digital dictionaries and chatbots, and performance monitoring. The objectives, types, and methodological significance of interactive phonetic exercises are also described. It is emphasized that auditory discrimination, the “Find and Say” activity, role-playing, tongue twisters, digital and multimedia exercises, and group competitions contribute to the development of phonemic hearing, articulatory skills, correct stress placement, and speech fluency. AI can analyze a learner’s individual errors, recommend appropriate exercises, and provide teachers with opportunities for objective assessment. Interactive exercises are effective in teaching pronunciation in primary and secondary grades, transforming the learner from a passive listener into an active participant. They develop phonemic hearing, articulation, stress skills, and speech fluency. The article concludes that combining AI technologies with traditional methods can raise the quality of phonetic instruction to a new level, improve pronunciation accuracy, and develop speech competence.

Gendered Paralinguistic Features In Cross-Cultural Communication

Mokhlaroy Makhsudova Ulug‘bek kizi — 2026-10-03

This article explores gendered paralinguistic features in cross-cultural

communication, focusing on how nonverbal and vocal elements influence interpersonal interaction and meaning construction. The study examines gender-specific paralinguistic markers such as intonation, voice pitch, pauses, facial expressions, gestures, and emotional tone in English and Uzbek

communication. It highlights the pragmatic and sociocultural functions of these features, demonstrating how they shape communicative intention, perception, and interpretation across different cultural contexts. Practical examples from intercultural and everyday discourse illustrate the role of paralinguistic cues in expressing identity, emotion, politeness, and communicative influence in real-life interactions.