European Research Materials

The Impact of Measuring Academic Achievement

2026-06-07T15:15:18+00:00

This paper examines the significance of the assessment process and the role of the assessor in education, as well as their contribution to the development of socially successful students. Assessment, teacher competence, the teacher’s role as a psychologist, the identification of individual abilities, and student motivation during the assessment process are all determining factors in the formation of a student’s personality. The effectiveness of assessment is also influenced by appropriate mechanisms, constructive feedback, and the professional knowledge of the teacher.

This study seeks to emphasize the importance of teachers’ professional skills and their awareness of the impact that assessment may have on students. Particular attention is paid to the necessity of developing psychological competencies that enable teachers to understand students’ individual needs and characteristics. Teachers should ensure the inclusion of all students in the learning process and support the identification and development of their individual strengths and abilities

Factors influencing on Teachers’ Job Performance in Schools

2026-06-07T15:18:34+00:00

The main purpose of this article is to examine the factors influencing teachers’ job performance in schools. Job performance is defined through a lot of factors. One of them is organizational culture as it encourages employees to feel valued and motivated. Through the research we aim to demostrate collaborative approach as an organizational characteristic contributes to better performance compared to formally structured schools. Collaborative approach encourages employees to feel valued, motivated, and committed to their work. The study was conducted using a quantitative research method through a standardized questionnaire. OCAI; (Organizational Culture Assessment Instrument). The survey results indicate that organizational characteristics based on strict bureaucratic procedures and formal structures receive the lowest level of support, whereas a family-like organizational environment is considered highly important by the majority of respondents

Temporal Stability of Probability of Default Models in Fintech Lending: An Empirical Comparison with Traditional Credit Scoring Benchmarks

2026-06-07T11:12:44+00:00

This paper presents an empirical validation study of a production-grade Probability of Default (PD) model deployed in a digital consumer lending platform, and benchmarks its temporal stability metrics against values reported in the traditional credit scoring literature. Fintech lenders operate under conditions that differ structurally from traditional retail banking: faster borrower acquisition cycles, thinner credit files, limited credit bureau penetration, and shorter loan tenors. Despite these constraints, the model under review achieves a Gini coefficient of 0.487 and a Kolmogorov-Smirnov statistic of 0.421, placing it in the upper range of traditional bank scorecard benchmarks. Monthly Gini volatility is 0.031, with no statistically significant downward trend over the multi-year observation window. However, a systematic upper-tail calibration bias of +0.048 percentage points is identified as a fintech-specific failure mode, attributable to the absence of credit bureau cycle features. Additionally, this study demonstrates that the Population Stability Index (PSI), the industry standard for distribution shift detection, is insufficient as a standalone early-warning signal: it remained below alert thresholds in months when class-conditional drift for defaulters was already in the investigation zone. To address this limitation, a Composite Model Health Score (CMHS) is proposed, which aggregates normalised deviations across six validation metrics into a single monitoring index. Empirical and simulation results show that CMHS detects model degradation two to eight months earlier than standalone PSI. The complete validation pipeline is implemented in open-source Python and presented as a reproducible framework for fintech model risk management.

СОВЕРШЕНСТВОВАНИЕ ОПЕРАТИВНОГО УПРАВЛЕНИЯ ПРОИЗВОДСТВОМ НА ГОРНОДОБЫВАЮЩИХ ПРЕДПРИЯТИЯХ КАЗАХСТАНА В УСЛОВИЯХ ЦИФРОВОЙ ТРАНСФОРМАЦИИ

2026-06-07T13:28:45+00:00

В статье рассматриваются проблемы оперативного управления производственной системой на современных горнодобывающих предприятиях Казахстана, характеризующихся высокой капиталоемкостью и динамичностью процессов. На примере месторождения Алмалы обоснована необходимость перехода от аналитического управления к цифровым методам за счет внедрения системы «1С:ERP Горнодобывающая промышленность 2». Описаны механизмы многоконтурного учета, позволяющие консолидировать разрозненные производственные данные, а также методы автоматизированного расчета ключевых показателей эффективности работы оборудования (КТГ и КИО) в процессе мониторинга в режиме реального времени. Доказана экономическая и организационная целесообразность цифровизации диспетчеризации горнотранспортного комплекса

POST-CONFLICT TOURISM DEVELOPMENT IN INCLUSIVE TERMS: SMART CITY MODELS AND CLUSTERING OPPORTUNITIES IN KARABAKH

2026-06-07T14:19:59+00:00

The article analyzes the opportunities for inclusive tourism development in post-conflict areas, focusing on the Karabakh and East Zangezur economic regions. The region’s cultural-historical, natural, and economic potential creates favorable conditions for the development of tourism in various directions. The study examines the application of cluster approaches and “smart city” models, as well as the integration of digital governance mechanisms into the tourism sector, as key development directions. At the same time, international experience and state-led reconstruction policies are assessed as important factors in realizing the region’s tourism potential

İQTİSADİ İNFORMASİYA SİSTEMLƏRİNDƏ MƏLUMAT TƏHLÜKƏSİZLİYİNİN TƏMİN EDİLMƏSİ ÜÇÜN METODİKİ YANAŞMALARIN TƏDQİQİ

2026-06-07T15:21:26+00:00

Müasir dövrdə iqtisadi informasiya sistemləri (İİS) müəssisələrin maliyyə, uçot və strateji qərarlarının idarə olunmasında mərkəzi rol oynayır. Rəqəmsal ekosistemlərin genişlənməsi bu sistemləri mürəkkəb kibertəhdidlərin hədəfinə çevirmişdir. Bu məqalədə İİS-lərdə məlumat təhlükəsizliyinin təmin olunması üçün həm texniki, həm də iqtisadi-metodiki idarəetmə yanaşmaları tədqiq edilmişdir. Tədqiqat çərçivəsində CIA (Məxfilik, Bütövlük, Əlçatanlıq) triadası, risklərin idarə edilməsi (ISRM) metodologiyaları, kibertəhlükəsizlik iqtisadiyyatı çərçivəsində fəaliyyət göstərən motivasiya modelləri və Sıfır Güvən (Zero Trust) arxitekturası analiz olunmuşdur.

ТРАНСФОРМАЦИЯ МАРКЕТИНГА В ЦИФРОВОЙ ЭКОНОМИКЕ

2026-06-07T19:04:32+00:00

В условиях ускоренного развития цифровых технологий маркетинг претерпевает существенные трансформационные изменения, затрагивающие как его концептуальные основы, так и практические механизмы взаимодействия с потребителями. Цифровизация экономики, распространение информационно-коммуникационных технологий, рост интернет-аудитории и развитие искусственного интеллекта способствуют формированию новых моделей потребительского поведения, что требует пересмотра традиционных маркетинговых подходов.

Современный маркетинг представляет собой не только инструмент продвижения товаров и услуг, но и комплексную систему управления взаимоотношениями с потребителями, основанную на анализе данных, прогнозировании потребительских предпочтений и создании персонализированного клиентского опыта [1]. В связи с этим особую актуальность приобретает исследование эволюции маркетинга как научной и практической области деятельности, а также выявление ключевых факторов, обусловивших переход от традиционных методов продвижения к цифровым маркетинговым технологиям

ASSESSING THE EFFICIENCY OF TOURISM AND RECREATION SPECIAL ECONOMIC ZONES IN KAZAKHSTAN: A TYPE-ORIENTED APPROACH

2026-06-07T19:15:28+00:00

This article examines the effectiveness of tourism and recreational special economic zones in Kazakhstan through a type-oriented assessment approach. The study argues that conventional evaluation criteria, primarily based on investment volume, export performance and fiscal returns, do not fully reflect the specific nature of tourism-oriented special economic zones. Unlike industrial zones, tourism and recreational SEZs generate delayed, indirect and spatially distributed effects related to employment creation, small and medium-sized business development, urban infrastructure improvement, territorial capitalization and regional socio-economic diversification. The empirical analysis focuses on the special economic zones “TURAN”, “Turkistan” and “Alatau”, comparing their investment volume, number of residents and jobs created. The findings show that although “Alatau” demonstrates a higher level of investment, “TURAN” and “Turkistan” provide stronger employment intensity and greater involvement of small and medium-sized enterprises. The results confirm the need to differentiate SEZ performance assessment according to their functional type. For tourism and recreational SEZs, priority should be given not only to capital investment indicators, but also to employment, entrepreneurial activity, infrastructure development and long-term regional multiplier effects. The proposed type-oriented approach may be used by public authorities and SEZ management companies to improve monitoring, strategic planning and institutional support for tourism and recreational zones in Kazakhstan

GENERATIVE AI AS AN EXTENSION OF POSTMODERN AESTHETICS: DECONSTRUCTION AND AUTOMATION IN CONTEMPORARY VISUAL MEDIA

2026-06-07T14:26:17+00:00

This article examines generative artificial intelligence as an aesthetic phenomenon, arguing that the image- and media-generating systems that have proliferated since the late 2010s constitute not a rupture with the history of visual culture but an extension and intensification of the aesthetic logic of postmodernism. Where postmodern theory described a culture defined by pastiche, simulation, intertextuality, the collapse of the distinction between original and copy, and the displacement of the author as the origin of meaning, generative models built on adversarial and diffusion architectures appear to automate and operationalise precisely these conditions. The research traces the conceptual lineage connecting the post-structuralist and postmodern theory of Roland Barthes, Jacques Derrida, Jean Baudrillard, and Fredric Jameson to the technical operation of contemporary generative systems, and analyses how core postmodern strategies — deconstruction, citation, the dissolution of the aura, and the rejection of the singular author — are materialised in machine-generated visual media. A conceptual and media-theoretical analysis framework, presented as a systematic mapping of postmodern concepts to their generative analogues, is applied alongside comparative case study analysis of four paradigmatic generative art works by Refik Anadol, Mario Klingemann, and Anna Ridler, enabling identification of the specific ways in which automation both extends and transforms the postmodern aesthetic inheritance. Critical perspectives that contest the postmodern thesis, including Lev Manovich’s data realism framework and arguments for the persistence of authorship, are examined alongside the main argument. The article gives particular attention to the Azerbaijani design context, examining how the structural underrepresentation of non-Western visual cultures in generative training data intersects with the specific conditions of post-Soviet aesthetic transition and emergent local generative practice. Implications for visual practitioners, design educators, and cultural theorists are discussed.

THE SOUNDING CHRONICLE OF AN ERA:On the 120th Anniversary of Academician A.K.Zhubanov

2026-06-07T22:01:32+00:00

The article is devoted to the multifaceted contribution of Academician Akhmet Zhubanov to the development of Kazakh musical art, scholarship, and education. It highlights the historical significance of his work as a composer, conductor, scholar, and organizer who stood at the origins of Kazakhstan’s leading artistic ensembles and cultural institutions, including the Kurmangazy Kazakh National Orchestra of Folk Instruments, the Zhambyl State Philharmonic, the Kurmangazy Kazakh National Conservatory, and other prominent institutions. Particular attention is paid to Zhubanov’s role in the formation of national musicology, the development of the scholarly school of art studies, and the establishment of the first dissertation council in the field of art studies in Central Asia. The article presents the international scientific and practical conferences dedicated to the 120th anniversary of Academician Akhmet Zhubanov, held in April 2026 in Aktobe as part of a series of jubilee events, including festivals, concerts, and competitions, as well as in Almaty. It emphasizes the broad participation of leading scholars from Kazakhstan and abroad, together with representatives of cultural and educational institutions. The main directions and contemporary relevance of the conference papers devoted to Zhubanov’s creative legacy and theoretical ideas are examined, demonstrating their significance for modern musicological research. The article concludes that Akhmet Zhubanov’s legacy continues to retain fundamental importance for the development of national culture, remains a vital spiritual and scholarly foundation of contemporary Kazakh art, and continues to influence the formation of research and educational practices.

HOW “OYU FEST” CHANGED THE MUSICAL CULTURE OF KAZAKHSTAN: HISTORY, ARTISTS, AND THE EVOLUTION OF THE FORMAT (2022-2026)

2026-06-07T22:07:31+00:00

This article examines how the “OYU Fest” festival transformed Kazakhstan’s music industry and culture between 2022 and 2026. It traces the project’s entire journey: from intimate live performances on YouTube (OYU Live) to a massive two-day anniversary festival in Almaty. The main focus of the article is on how the organisers select artists. By bringing together indie rock, rap, legends of Soviet pop (the Dos-Mukasan vocal-instrumental ensemble, Roza Rymbaeva) and stars of the mainstream toi scene (Kairat Nurtas) on one stage, “OYU Fest” blurs the boundaries between generations and breaks down old stereotypes

ШҰБАТ ҮЛГІЛЕРІНДЕГІ АНТИБИОТИКТЕРГЕ ТӨЗІМДІЛІК ГЕНДЕРІНІҢ ӘРТҮРЛІЛІГІ МЕН ТАРАЛУЫН ТАЛДАУ

2026-06-07T19:20:40+00:00

Шұбат түйе сүтінен дайындалатын дәстүрлі ашытылған сусын. Оның микробиотасы өнім сапасын қалыптастырумен қатар, антибиотиктерге төзімділік гендерінің ықтимал көзі ретінде де қызығушылық тудырады. Бұл жұмыста Қазақстанның Қызылорда, Түркістан және Алматы облыстарынан жиналған жеті шұбат үлгісіндегі антибиотиктерге төзімділік гендері метагеномдық секвенирлеу әдісімен зерттелді. Алынған деректер антибиотиктерге төзімділік гендерінің дерекқорымен салыстырылып, олардың құрамы мен салыстырмалы молшылығы бағаланды.

Талдау нәтижесінде барлық үлгілерден антибиотиктерге төзімділіктің 351 гені анықталды. Олардың ішінде acr, bacA, rosAB, lmrP және emeA гендері басым кездесті. lmrP және emeA гендерінің таралуы сәйкесінше Lactococcus lactis және Enterococcus faecalis түрлерінің молшылығымен байланысты болды. Барлық үлгілерде жоғары деңгейде анықталған bacA гені бацитрацинге төзімділікпен байланысты болуы мүмкін. Зерттеу нәтижелері шұбат микробиотасында антибиотиктерге төзімділік гендерінің кең таралғанын және олардың шығу тегі мен таралу жолдарын тереңірек зерттеу қажеттігін көрсетеді.

The Post-CRISPR Toolkit: Prime Editing, RNA Editing, and Programmable Integration

2026-06-07T19:51:25+00:00

The rapid evolution of genome engineering has extended the field beyond conventional CRISPR-Cas9 nucleases toward a broader set of precision editing platforms. Although CRISPR-Cas9 transformed modern molecular biology by enabling programmable DNA cleavage, its reliance on double-strand breaks and endogenous repair pathways can produce undesired insertions, deletions, chromosomal rearrangements, and inconsistent editing outcomes (Lee et al., 2025; Chen et al., 2024). In response, new editing modalities have emerged to improve precision, flexibility, and safety in both experimental and therapeutic settings. Among these, prime editing offers a search-and-replace strategy capable of introducing precise substitutions, small insertions, and deletions without requiring donor DNA templates or double-strand DNA cleavage (Lee et al., 2025). In parallel, RNA editing platforms, including ADAR-based systems and CRISPR-Cas13-derived approaches, provide reversible correction at the transcript level and may reduce the long-term risks associated with permanent genome modification (Booth et al., 2023; Lo et al., 2022; Yang & Patel, 2024). Complementing these tools, programmable integration systems such as PASTE and CRISPR-associated transposon platforms are designed to overcome a major limitation of classic editing methods: the efficient, site-specific insertion of larger genetic payloads (Yarnall et al., 2023; Wang et al., 2023). Together, these technologies represent a conceptual shift from DNA cutting alone toward precise rewriting, reversible transcript correction, and targeted genomic installation. This article introduces the major components of the post-CRISPR toolkit and outlines their significance for the future of precision medicine, functional genomics, and next-generation gene therapy (Anzalone et al., 2019; Chen & Liu, 2023; Booth et al., 2023; Yarnall et al., 2023).

БАУЫРМЕН ЖОРҒАЛАУШЫЛАРДЫҢ ПАРК АУМАҒЫНДА ТАРАЛУ ЕРЕКШЕЛІГІ

2026-06-07T22:11:32+00:00

Мақалада Сырдария-Түркістан мемлекеттік өңірлік табиғи паркінің аумағында таралған бауырымен жорғалаушылардың түрлік құрамы мен таралу ерекшеліктері қарастырылған. Парк аумағының табиғи-климаттық жағдайлары, ландшафттық ерекшеліктері және олардың бауырымен жорғалаушылардың тіршілік етуіне әсері сипатталған. Зерттеу барысында шөлейт, өзен жайылмасы және таулы аймақтарда кездесетін негізгі түрлер анықталып, олардың таралуына ықпал ететін экологиялық факторлар талданды. Сонымен қатар бауырымен жорғалаушыларды қорғау мен сақтау шараларының маңыздылығы көрсетілді. Зерттеу нәтижелері парк аумағындағы биоалуантүрлілікті сақтау және табиғи экожүйелердің тұрақтылығын қамтамасыз ету үшін ғылыми негіз бола алады.

DEVELOPMENT OF A PPO-BASED MODEL FOR OPTIMIZING INDUSTRIAL ENERGY CONSUMPTION

2026-06-07T10:54:02+00:00

The article considers a reinforcement learning model for optimizing industrial energy consumption using the Proximal Policy Optimization (PPO) algorithm. The proposed approach is aimed at supporting energy management decisions under variable production demand, dynamic electricity prices, equipment condition constraints and the availability of local generation and battery storage. The energy management task is formulated as a Markov decision process, where the state space includes production load, energy price, solar generation, battery state, equipment health and demand indicators. The action space is represented by a continuous control vector for changing equipment load levels, while the reward function combines energy cost reduction, demand satisfaction and equipment health preservation. The model is tested in the IndustrialEnergyEnv simulation environment and compared with a baseline control scenario. The results show that the PPO-based model can reduce total energy consumption and economic cost; however, additional reward balancing is required to ensure full production demand satisfaction

Methods and Technologies for Evaluating the Effectiveness of Logistics Management Processes in Corporate Information Systems

2026-06-07T14:22:59+00:00

The systematic evaluation of logistics management processes within corporate information systems (CIS) represents a foundational operational requirement for enterprises seeking to maintain competitiveness in increasingly complex supply chain environments. Despite widespread deployment of Enterprise Resource Planning (ERP), Warehouse Management System (WMS), and Transportation Management System (TMS) platforms, organizations frequently lack the structured methodological apparatus necessary to assess process effectiveness beyond reactive financial reporting. This article presents a comprehensive analysis of the methods and technologies applicable to logistics CIS evaluation, integrating canonical IS success frameworks, specifically the DeLone and McLean IS Success Model, the Balanced Scorecard, and the Supply Chain Operations Reference (SCOR) model, with quantitative KPI measurement methodologies and qualitative diagnostic approaches. A formal taxonomy of ten key performance indicators is developed and operationalized through corporate system data sources. The technological enablers of evaluation, Business Intelligence dashboards, ERP-native analytics modules, and process mining platforms, are examined in detail. A hypothetical scenario application demonstrates the practical diagnostic and corrective value of structured evaluation, documenting post-intervention improvements of up to 19.2 percentage points in Perfect Order Rate and 45.8% reduction in Goods Receipt Processing Time within a regional freight and warehousing enterprise. The findings affirm that structured, technology-mediated evaluation of logistics IS effectiveness is a prerequisite for sustained operational performance

AZƏRBAYCANDA E-TİCARƏT PLATFORMALARININ İNKİŞAF PERSPEKTİVLƏRİ VƏ İQTİSADİ DAYANIQLIĞA TƏSİRİNİN QİYMƏTLƏNDİRİLMƏSİ

2026-06-07T15:24:30+00:00

Bu məqalədə Azərbaycanda e-ticarət platformalarının mövcud inkişaf səviyyəsi, onların gələcək perspektivləri və iqtisadi dayanıqlığa təsiri kompleks şəkildə qiymətləndirilir. Rəqəmsal iqtisadiyyatın sürətli inkişafı fonunda e-ticarət platformaları ticarət münasibətlərinin transformasiyasında, bazar iştirakçılarının fəaliyyət imkanlarının genişlənməsində və iqtisadi proseslərin daha çevik təşkilində mühüm rol oynayır. Araşdırmada qeyd olunur ki, Azərbaycanda internet infrastrukturunun təkmilləşdirilməsi, rəqəmsal ödəniş sistemlərinin genişlənməsi və dövlətin rəqəmsal iqtisadiyyata verdiyi dəstək e-ticarətin inkişafı üçün əlverişli şərait formalaşdırır.
Məqalədə e-ticarət platformalarının kiçik və orta sahibkarlığın inkişafına, məşğulluğun artırılmasına, daxili bazarın aktivləşdirilməsinə və ixrac imkanlarının genişlənməsinə təsiri təhlil edilir. Xüsusilə regionlarda fəaliyyət göstərən biznes subyektləri üçün e-ticarət platformalarının bazara çıxış baryerlərini azaltdığı və rəqabət mühitini gücləndirdiyi vurğulanır. Eyni zamanda, e-ticarətin iqtisadi dayanıqlığa təsiri makroiqtisadi sabitlik, gəlir mənbələrinin diversifikasiyası və qeyri-neft sektorunun inkişafı kontekstində qiymətləndirilir.
Tədqiqat nəticələri göstərir ki, e-ticarət platformalarının institusional və texnoloji əsaslarının gücləndirilməsi, hüquqi-normativ bazanın təkmilləşdirilməsi və rəqəmsal savadlılığın artırılması iqtisadi dayanıqlığın möhkəmlənməsinə mühüm töhfə verə bilər. Məqalə nəticə etibarilə e-ticarətin Azərbaycanda uzunmüddətli iqtisadi inkişaf strategiyalarında prioritet istiqamətlərdən biri kimi çıxış etdiyini əsaslandırır.

Comparison of the HPC and Big Data Java Libraries Spark, PCJ and APGAS

2026-06-07T17:53:18+00:00

Although Java is rarely used in HPC, there are a few notable libraries. Use of Java may help to bridge the gap between HPC and big data processing. This paper compares the big data library Spark, and the HPC libraries PCJ and APGAS, regarding productivity and performance. We refer to Java versions of all libraries. For APGAS, we include both the original version and an own extension by locality-flexible tasks. We consider three benchmarks: Calculation of π from HPC, Unbalanced Tree Search (UTS) from HPC, and WordCount from the big data domain. In performance measurements with up to 144 workers, the extended APGAS library was the clear winner. With 144 workers, APGAS programs were up to a factor of more than two faster than Spark programs, and up to about 30% faster than PCJ programs. Regarding productivity, the extended APGAS programs consistently needed the lowest number of different library constructs. Spark ranged second in productivity, and PCJ third

FUNKSİONAL ÇÖRƏYİN MÜASIR İSTEHSAL TEXNOLOGİYASININ İŞLƏNİLMƏSI VƏ KEYFİYYƏT GÖSTƏRİCİLƏRİNİN TƏDQİQİ

2026-06-07T21:53:54+00:00

Tədqiqatın əsas məqsədi yerli yaşıl və sənaye üsulu ilə emal edilmiş qırmızı mərcimək unu ilə zənginləşdirilmiş buğda ununun çörəkbişirmə xassələrinə təsirini elmi-təcrübi cəhətdən əsaslandırmaq və funksional əhəmiyyətli çörək istehsalı texnologiyasını işləyib hazırlamaqdır. Tədqiqat zamanı mərcimək və buğda ununun fiziki-kimyəvi göstəriciləri təyin olunmuşdur.Eyni zamanda mərcimək ununda lipoksigenaza fermenti aktivliyi spektrofotometrik metodla təyin olunaraq, onun zənginləşdirilmiş xəmirə müsbət təsiri əsaslandırılmışdır. Müəyyən edilmişdir ki, buğda ununa 1,0% və 1,5% miqdarda mərcimək ununun əlavə edilməsi xəmirin reoloji xassələrini yaxşılaşdırır, hazır məhsulun zülal tərkibinin (əvəzolunmaz aminturşuları) yaxşılaşmasını, vitamin və mineral maddələrlə (dəmir, sink) zənginləşməsini təmin edir. Alınan nəticələr bu cür çörək məhsullarının şəkərli diabet və həzm problemi olan insanlar üçün müalicəvi-profilaktik təyinatlı funksional qida kimi sənaye miqyasında istehsalının perspektivliyini göstərir.

Böyük verilənlərin emalında MapReduce modelinin tətbiqi

2026-06-07T22:14:52+00:00

Müasir dövrdə rəqəmsallaşmanın sürətlənməsi, internet texnologiyalarının geniş yayılması, sosial şəbəkələrin inkişafı və müxtəlif informasiya sistemlərinin fəaliyyətinin genişlənməsi nəticəsində yaradılan məlumatların həcmi sürətlə artmaqdadır. Böyük verilənlər (Big Data) kimi xarakterizə olunan bu məlumatlar ənənəvi verilənlər bazası idarəetmə sistemlərinin və klassik hesablama metodlarının imkanlarını aşaraq yeni texnoloji yanaşmaların tətbiqini zəruri etmişdir. Böyük verilənlərin əsas xüsusiyyətləri olan yüksək həcm, sürət və müxtəliflik onların saxlanılması, emalı və təhlili proseslərini mürəkkəbləşdirir. Bu səbəbdən paylanmış hesablama sistemləri və paralel emal texnologiyaları böyük verilənlərlə işləmək üçün mühüm vasitələrdən biri hesab olunur. Belə texnologiyalar arasında MapReduce proqramlaşdırma modeli xüsusi yer tutur. Bu model böyük həcmli məlumatların çoxsaylı hesablama qovşaqları arasında bölüşdürülərək paralel şəkildə emal edilməsinə imkan verir, hesablama proseslərinin səmərəliliyini artırır və sistem resurslarından optimal istifadəni təmin edir.

Məqalədə böyük verilənlərin emalında MapReduce modelinin tətbiqi məsələləri araşdırılmış, modelin nəzəri əsasları, arxitekturası və işləmə prinsipi təhlil edilmişdir. Map və Reduce mərhələlərinin funksiyaları, Hadoop platforması ilə inteqrasiyası və paylanmış mühitdə məlumatların emal mexanizmləri izah olunmuşdur. Həmçinin MapReduce modelinin axtarış sistemləri, sosial şəbəkələr, informasiya təhlükəsizliyi, dövlət informasiya sistemləri və maşın öyrənməsi sahələrində tətbiq imkanları qiymətləndirilmişdir. Araşdırma nəticəsində müəyyən edilmişdir ki, MapReduce modeli böyük həcmli verilənlərin emalında yüksək məhsuldarlıq, miqyaslana bilmə və nasazlıqlara davamlılıq kimi üstünlüklər təqdim edir. Bununla yanaşı, real vaxt analitikası və iterativ hesablama proseslərində müəyyən məhdudiyyətlərə malik olduğu müəyyən edilmişdir. Məqalədə mövcud problemlərin həlli istiqamətində Apache Spark və Apache Flink kimi yeni nəsil platformaların tətbiqi, təhlükəsizlik mexanizmlərinin təkmilləşdirilməsi və resurs idarəetmə üsullarının optimallaşdırılması ilə bağlı təkliflər irəli sürülmüşdür.

Comparative analysis of the image of mother-woman in textbooks

2026-06-07T17:16:10+00:00

Today, educational researchers have come to the conclusion that achieving the development and sustainability of student activity and independence, the importance of which has long been confirmed in education, will make a serious contribution to solving the problem we mentioned. Activity and independence are understood at this point, first of all, as the creativity, initiative of students, and their position as researchers in acquiring knowledge. The ways to implement this have been largely illuminated in methodological studies. Ensuring the activity and independence of students, especially in studying works of art, has always attracted attention. Although useful work has been done in this direction, there are still many tasks that need to be accomplished. Today, a more favorable opportunity has arisen for their solution. This is due to the emergence of technologies that allow approaching the educational process and its regularities from various aspects. It seems that it is impossible to solve the problem separately, in isolation. In the current conditions, where new educational approaches are emerging, there is a serious need for multidisciplinary research. It is important that contemporary research conducted in this context is directed towards identifying the conditions and means that allow for the reading of a literary text, its in-depth study, and the formation of a personal attitude to it. This goal sets as a primary task the step-by-step approach to innovation by referring to what has been achieved successfully. For example, in school practice, before reading, as well as after reading and mastering the content, students are asked questions in order to reveal the level of their independent approach to a literary work. More precisely, schoolchildren express their initial conclusions about the subject of the work, the essence of the ideas, stories, and events reflected in it, the cause-and-effect relationships between them, etc., and their attitude to all this.

In textbooks, the image of the mother is analyzed from psychological, didactic and social aspects as a symbol of unconditional love, sacrifice and moral values. This image plays an important moral support role in the formation of students as personalities, in the development of empathy skills and national-moral awareness.

Economic Self-Efficacy and Economic Socialization: The Role of Psychological Resources in Shaping Economic Behavior

2026-06-07T20:42:59+00:00

The purpose of this study is to study the relationship between economic self-efficacy and economic socialization and to determine the role of economic self-efficacy in the process of forming economic behavior. Economic self-efficacy is considered as an individual's belief in his or her own abilities in the context of successfully completing financial and economic tasks, and economic socialization is considered as a process through which a person acquires economic knowledge, values, skills and behavioral models.

The empirical research data were processed in the program - SPSS. 528 respondents participated in the study. Descriptive statistics and Pearson correlation analysis were used for data analysis. The results showed that 45.6% of the respondents are characterized by a high level of economic self-efficacy, 45.5% - medium, and 8.9% - low. Correlation analysis revealed significant positive relationships between economic self-efficacy and financial independence (r = .635, p < .001), values (r = .653, p < .001), psychological flexibility (r = .626, p < .001), financial knowledge (r = .552, p < .001), financial skills (r = .492, p < .001), and general self-efficacy (r = .532, p < .001).

The results confirm that economic self-efficacy is one of the most important psychological mechanisms of economic socialization and has a significant impact on the formation of economic behavior. High economic self-efficacy is associated with financial activity, independent decision-making, effective management of financial resources, and economic independence. The results of the study emphasize the importance of developing economic self-efficacy in financial education and economic socialization programs as one of the key prerequisites for economic well-being and successful economic functioning.

PATIENT TRUST КАК ФАКТОР УСТОЙЧИВОСТИ ЧАСТНОЙ МЕДИЦИНСКОЙ ОРГАНИЗАЦИИ

2026-06-07T18:59:24+00:00

В современных условиях развития системы здравоохранения доверие пациентов становится одним из ключевых нематериальных активов медицинской организации. Рост конкуренции на рынке медицинских услуг, цифровизация здравоохранения, повышение информированности населения и развитие пациент-ориентированной модели оказания медицинской помощи обусловливают необходимость включения показателей доверия пациентов в систему стратегического и антикризисного управления медицинской организацией. Цель исследования – определить роль patient trust как фактора устойчивости частной медицинской организации и разработать подходы к его оценке в системе антикризисного управления.

Материалы и методы. Исследование выполнено на основе анализа деятельности многопрофильной частной медицинской организации ТОО «Clinic Miras». Использованы методы системного анализа, сравнительного анализа, анализа научной литературы, оценки показателей удовлетворенности пациентов, Net Promoter Score (NPS), Customer Satisfaction Index (CSI), структуры обращений и жалоб пациентов.

RETINOBLASTOMA: TOPICAL ISSUES AND THEIR SOLUTIONS

2026-06-07T20:35:06+00:00

this scientific and analytical work presents modern clinical and diagnostic data concerning the most common malignant intraocular tumor in children – retinoblastoma. The issues of etiopathogenesis, genetic and molecular features of this pathology, assessment of the role of biomarkers in diagnostics and prognosis of the disease are covered in detail. Promising directions for the development of new and improved diagnostic and therapeutic approaches, genetic causes of this pathology, possibilities of whole genome sequencing for studying the mutation landscape, currently used classification systems of retinoblastoma, available possibilities of clinical screening are described. The publication shows that studies of the molecular basis of the disease also led to deciphering subsequent events and, thus, to the discovery of biomarkers and associated targeted therapies. In addition, improvements in molecular biology methods contributed to the development of effective methods of early diagnostics, genetic counseling and disease prevention. The issues of visual acuity assessment and improving the quality of life of patients are also comprehensively considered

Современные методы профилактики и лечения гипертрофических и келоидных рубцов в пластической хирургии

2026-06-07T21:06:51+00:00

Гипертрофические и келоидные рубцы остаются одной из актуальных проблем современной пластической, реконструктивной и эстетической хирургии. Несмотря на развитие малотравматичных хирургических технологий, совершенствование шовных материалов, внедрение лазерных, инъекционных и комбинированных методов лечения, патологическое рубцевание по-прежнему встречается у значительной части пациентов после операций, травм, ожогов, воспалительных заболеваний кожи и косметологических вмешательств. Клиническая значимость данной проблемы определяется не только эстетическим дефектом, но и функциональными нарушениями, зудом, болью, ограничением подвижности тканей, психологическим дискомфортом и снижением качества жизни пациентов.

Целью настоящего обзора является анализ современных подходов к профилактике и лечению гипертрофических и келоидных рубцов в пластической хирургии. В статье рассмотрены патогенетические механизмы патологического рубцевания, факторы риска, клинические различия между гипертрофическими и келоидными рубцами, методы оценки рубцовой ткани, а также основные направления профилактики и лечения. Особое внимание уделено силиконовой терапии, компрессионному воздействию, инъекционному введению глюкокортикостероидов, 5-фторурацила, лазерным технологиям, криотерапии, хирургическому иссечению и комбинированным схемам. Подчеркивается, что наиболее эффективной современной стратегией является индивидуализированный мультимодальный подход, основанный на типе рубца, его локализации, длительности существования, выраженности симптомов, риске рецидива и особенностях пациента.

ТАРИХИ ДЕРЕКТЕРГЕ НЕГІЗДЕЛГЕН МАТЕМАТИКАЛЫҚ ЕСЕПТЕР – ПӘНАРАЛЫҚ ИНТЕГРАЦИЯ ҚҰРАЛЫ РЕТІНДЕ

2026-06-07T13:18:04+00:00

Бұл мақалада мектепте тарих пен математика пәндерін кіріктіре оқытудың тиімді жолдары қарастырылады. Автор пәнаралық интеграцияның негізгі тәсілдерін талдай келе, ең қолжетімді әрі нәтижелі әдіс – тарихи деректерге негізделген математикалық есептер жүйесін ұсынады. Ұлы Отан соғысы (1941–1945) тақырыбындағы нақты сандық деректерге сүйенген 4 есеп әзірленіп, әрқайсысының тарихи контексті, математикалық шығарылуы және педагогикалық мүмкіндіктері келтірілген. Мақала соңында есептерді сабақта қолданудың әдістемелік нұсқауы және интеграцияның тиімділігін бағалау критерийлері берілген.

ELT FOR NON-LINGUISTIC FACULTIES: MOTIVATIONAL AND CURRICULAR CHALLENGES IN HIGHER EDUCATION

2026-06-07T13:23:41+00:00

This paper examines the main difficulties in teaching English to non-linguistic students in higher education. In today’s globalized world, English has become an essential tool for communication in science, education, and professional contexts. However, many students still struggle to achieve an adequate level of proficiency, despite studying English at university.
The study discusses key factors affecting learning, including psychological issues such as low motivation and lack of confidence, methodological challenges like limited classroom hours and insufficient practice, and physical factors including a heavy academic workload. It also addresses issues such as first language interference, concentration problems caused by mobile phone use, and difficulties in vocabulary acquisition.
The paper emphasizes the importance of creating a supportive classroom environment and applying effective teaching methods to enhance student engagement and performance. Overall, it argues that improved teaching strategies and stronger learner motivation can significantly enhance English learning outcomes for non-linguistic students.

Revolutionizing English Language Teaching in Kazakhstan Universities: The Transformative Role of AI Tools in the Classroom

2026-06-07T14:17:03+00:00

In Kazakhstan’s universities, English language teaching (ELT) stands at a pivotal crossroads. The country’s ambitious trilingual education policy—promoting Kazakh, Russian, and English as languages of instruction—has elevated English proficiency as a national priority for global competitiveness, academic publishing, and international collaboration. Yet, challenges persist: varying student proficiency levels, large class sizes, limited exposure to authentic English environments, and teacher workloads strained by traditional methods. Enter artificial intelligence (AI). With Kazakhstan’s government investing heavily through the Concept for the Development of Artificial Intelligence (2024–2029), including AI literacy courses and infrastructure upgrades at leading institutions like Al-Farabi Kazakh National University, L.N. Gumilyov Eurasian National University, Satbayev University, and Abai Kazakh National Pedagogical University, AI tools are no longer futuristic—they are practical allies in the ELT classroom. This article explores how AI is reshaping English language learning in Kazakh higher education, highlighting key tools, benefits, challenges, and actionable recommendations for educators and administrators.

Artificial Intelligence-Supported Feedback for Teacher Professional Development: Opportunities and Challenges

2026-06-07T19:10:55+00:00

Few levers in teacher professional development are as well supported by evidence, or as hard to supply at scale, as timely individual feedback on classroom practice. Artificial intelligence is now being offered as a way out of that bind. This article reviews the recent international literature on AI-supported feedback for teachers, published between roughly 2017 and 2026, and reads the resulting opportunities and risks as one connected argument before turning to the Republic of Kazakhstan and the work of the JSC National Center for Professional Development “Örleu.” Tools built on natural language processing and large language models, among them M-Powering Teachers and TeachFX, can return cheap, consistent, descriptive feedback on how teachers talk; in at least one large randomised trial they shifted both teaching practice and student outcomes. The same literature explains why enthusiasm should be tempered. The reliability of automated judgements is still unsettled. Models carry bias, recordings raise real questions about privacy and surveillance, teachers may be deskilled or their relationships with students worn thin, and the evidence remains young, short-term, and heavy on self-report. For Kazakhstan one further constraint is decisive: Kazakh is a low-resource language that current speech and language models handle poorly. Reading the UNESCO AI Competency Framework for Teachers (2024) against Kazakhstan’s 2024–2029 policy settlement, the article makes the case for a staged, human-centred model in which AI-supported feedback widens the reach of mentoring instead of standing in for it.

Влияние образовательной платформы Blockland.kz на развитие когнитивных функций студентов

2026-06-07T20:47:37+00:00

В статье представлены результаты экспериментального исследования, направленного на определение влияния образовательной платформы Blockland.kz на развитие когнитивных функций студентов. Актуальность исследования обусловлена активным внедрением цифровых образовательных платформ в учебный процесс, а также требованиями нормативных документов Республики Казахстан, ориентированных на развитие функциональной грамотности, цифровой грамотности, алгоритмического и вычислительного мышления обучающихся. Объектом исследования выступает процесс применения платформы Blockland.kz в учебной деятельности студентов, предметом — динамика когнитивных параметров обучающихся при использовании блочного программирования, его аналогов на Python и Java, тренажеров и набора программных задач.

В исследовании приняли участие 157 студентов 2–3 курсов в возрасте 16–20 лет из трех образовательных организаций: Жетысуского университета имени И. Жансугурова, Казахского национального женского педагогического университета и Талдыкорганского высшего политехнического колледжа. Экспериментальная группа составила 79 человек, контрольная группа — 78 человек. Исследование проводилось в течение двух семестров. Для диагностики когнитивных функций использовались таблицы Шульте, тест на память, адаптированный GALT-тест, задания на алгоритмическое и критическое мышление, анализ учебной успеваемости, анкетирование и полуструктурированное интервью участников образовательного курса.

Результаты исследования показали положительную динамику внимания, памяти, логического, алгоритмического и критического мышления, скорости выполнения программных задач, учебной мотивации и успеваемости в экспериментальной группе. На основе анализа количественных данных, результатов опроса и интервью сформулированы рекомендации по дальнейшему совершенствованию платформы Blockland.kz. Сделан вывод о педагогической эффективности платформы как цифровой среды, способствующей развитию когнитивных функций студентов при условии ее систематического и методически обоснованного применения

English Non-equivalent and Partially Equivalent Vocabulary in Georgian Translation

2026-06-07T14:30:47+00:00

This paper examines the translation strategies most frequently employed by Georgian translators in rendering non-equivalent and partially equivalent lexical units from English into Georgian. The transfer of such culture-bound lexical items constitutes a significant challenge in translation studies and has attracted considerable scholarly attention. The lexical units analysed in this study comprise realia and quasi-realia. Realia refer to culture-specific referents that lack direct equivalents in the target language, whereas quasi-realia denote referents for which target-language equivalents exist and share the same primary characteristics but differ in certain secondary or culturally marked features.The translation of non-equivalent and partially equivalent lexical units presents translators with a dual challenge: ensuring the comprehensibility of the target text while simultaneously preserving the national and cultural meanings embedded in the source text. To reconcile these competing demands, translators employ a range of strategies designed to facilitate effective intercultural communication. The choice of a particular strategy is determined by the specific characteristics of the communicative situation, including linguistic, cultural, and pragmatic considerations. The study is based on a comparative analysis of English-language literary prose and its Georgian translations. The findings demonstrate that, in translating realia, Georgian translators most frequently resort to such strategies as transcription, calquing, generalization, descriptive translation, omission and cultural substitution. The analysis highlights the pivotal role of strategic decision-making in balancing semantic accuracy, cultural specificity, and reader accessibility, thereby contributing to the successful mediation between source and target cultures.

The Role of Teacher Autonomy in Classroom Management Methodology

2026-06-07T19:41:55+00:00

This article examines the role of teacher autonomy in classroom management methodology, emphasizing its significance in fostering adaptive, responsive, and learner-centered educational environments. In contemporary pedagogy, classroom management extends beyond discipline to encompass instructional organization, emotional climate regulation and the facilitation of meaningful student engagement. Teacher autonomy is conceptualized as the professional capacity to make context-sensitive decisions regarding instructional strategies, behavioral expectations and classroom procedures. The article integrates theoretical analysis with practical examples from an English as a Foreign Language (EFL) classroom, illustrating how autonomous adaptations in lesson planning , task design and behavioral redirection contribute to improved classroom dynamics

Results of hybridization of common proso millet based on crossbreeding of local and foreign varieties

2026-06-07T19:29:04+00:00

Proso millet (Panicum miliaceum L.) is one of the oldest crops used by humans as food. It is a cereal plant belonging to the Poaceae family [1].

The origins of proso millet are linked to the early stages of agriculture. Proso millet was first cultivated approximately 7,000 years ago in China and the Caucasus [2]. Proso millet was an important element of ancient civilizations such as the Egyptian and Mediterranean [3]. In ancient times, it was widely used as a primary food source for many peoples. The process of proso millet domestication represents an evolutionary process through which the wild species of proso millet (became cultivated and grown by humans to meet their nutritional needs) began to be cultivated.

Comparative assessment of valuable agronomic traits of the Chinese collection of common buckwheat samples in the conditions of the Akmola region

2026-06-07T19:35:00+00:00

Buckwheat is a leading cereal crop, possessing high nutritional and dietary value. The grain is used to produce cereals and flour and is rich in easily digestible proteins, B vitamins, trace elements, and rutin, which is beneficial for strengthening blood vessels. Due to its gluten- free nature, buckwheat is valued in medicinal and baby food [1].
Vegetative mass and by-products of grain processing are used in animal husbandry as nutritious feed [2].
Buckwheat plays an important agronomic role. By releasing organic acids, its root system helps convert poorly soluble phosphorus compounds into a more readily available form, improving soil fertility and making buckwheat a good precursor for many crops [3].
The primary center of buckwheat domestication is considered to be the interior regions of Southeast Asia (western China, Tibet, eastern India), where cultivation of its wild ancestors began around the sixth millennium BC. From this region, the crop spread to Central Asia, and subsequently to the Middle East and Europe. Archaeological and paleontological evidence indicates a wide geographic distribution of early cultivation: the oldest traces in Finland date back to 5300 BC, pollen samples in Japan to 4000 BC, and finds in China to 2600 BC. Possessing unique biological plasticity, buckwheat is recognized as the highest-altitude domesticated crop in the world, as evidenced by its successful cultivation on the Tibetan Plateau (Yunnan Province).
Large-scale cultivation of the crop continued in Siberia, India, Turkey, and Japan. Buckwheat only entered European agricultural circulation on a large scale in the 15th century, reaching Italy and neighboring countries via the trade routes of the Black Sea basin. During the colonial era, Europeans brought the crop to North America.

Обзор методов решения линейных уравнений с частными производными первого порядка

2026-06-07T11:05:29+00:00

В обзоре представлены основные методы решения линейных неоднородных дифференциальных уравнений в частных производных первого порядка с двумя независимыми переменными. Рассматриваются следующие подходы: переход к новым переменным через известный интеграл соответствующего однородного уравнения, метод характеристической системы и использование вспомогательного однородного уравнения с тремя независимыми переменными. Затем формулируются и решаются классические и обобщенные задачи Коши. В заключительных примерах иллюстрируется применение этих методов к конкретным уравнениям

Peculiarities of Life Expectancy Across the Regions of countries (Kazakhstan)

2026-06-07T15:28:52+00:00

The current research analyzes factors influencing life expectancy among various regions of Kazakhstan by applying official statistics and correlation methods. According to the results obtained, the strongest correlations are found for such factors as the size of catering market, spending on R&D activities, and the number of institutions providing higher education. Moreover, significant correlations are identified between life expectancy and employment rate, population, and marriage rate. Using these findings, regions of Kazakhstan will be divided into several groups for comparison purposes in order to find out how important factors influence longevity differently in various regions

Algorithm for the Best Functional Regression Model

2026-06-07T17:58:39+00:00

Regression analysis is widely used in science, engineering, economics and many other fields for modeling relationships between variables and for predicting future observations. Selecting an appropriate regression model is a crucial step towards reliable results. In this work, we consider some popular regression models and discuss their suitability for different types of data. The alternative model is evaluated and compared to other models using statistical measures through a Python-based approach. The results highlight the importance of model selection and provide a simple framework in order to decide the most appropriate regression model for a given dataset.

Абсолютная суммируемость ряда Фурье по мультипликативной системе

2026-06-07T19:46:43+00:00

Абсолютная суммируемость ряда Фурье по мультипликативной системе

Legal issues of the mining industry's evolution in modern world

2026-06-07T17:50:26+00:00

The mining industry's evolution in the framework of the global shift to a green economy is a multicolored and multifaceted process that brings together economic need and environmental concern. This thesis has shown that the mining industry is a keystone to making renewable energy technologies possible, as it provides essential raw materials like lithium, cobalt, nickel, and rare earth elements. Meanwhile, mining is one of the major causes of environmental degradation, posing an essential conflict between economic growth and sustainability.

The historical discussion of the mining industry verifies that the industry has developed to be less traditional mining of resources and more technologically focused and strategic. The demand for critical minerals, in turn, grew significantly in the modern age because of the growth of renewable energy systems. This change underscores the increasing role of mining in meeting the global climate goals and the necessity to pursue more sustainable mining.

But the study has demonstrated that there is two-sidedness in the mining industry. On the one hand, it promotes economic growth and technological progress, as well as green energy transition. Conversely, it is a source of environmental issues like greenhouse gases, water pollution, land degradation, and biodiversity. Such duality requires coming up with efficient legal, regulatory and technological solutions.

ШҰЖЫҚ ӨНІМДЕРІН ӨНДІРУДЕГІ ШИКІЗАТ ПЕН ҚОСПАЛАРДЫҢ ФУНКЦИОНАЛДЫҚ РӨЛІ

2026-06-07T18:03:28+00:00

Қазіргі кезеңде шұжық өнімдері халықтың тамақтану құрылымында маңызды орын алып отыр. Урбанизация үдерісінің күшеюі, өмір ырғағының жеделдеуі және уақыт үнемдеуге бағытталған тамақ өнімдеріне деген қажеттіліктің артуы бұл өнім түрінің тұтыну көлемін ұлғайтты. Құрамы жағынан дайын әрі өңделген тағам ретінде шұжық өнімдері қолжетімділігімен, сақтау мерзімінің салыстырмалы ұзақтығымен және ассортиментінің кеңдігімен ерекшеленеді. Осы факторлар шұжық өнімдерінің қазіргі қоғамда кеңінен тұтынылуына ықпал етуде.

Шұжық – еттен немесе ет өнімдерінен арнайы технологиялық өңдеу арқылы дайындалатын жоғары тағамдық құндылығы бар өнім. Бұл өнім адамдардың тамақтану рационында ерекше орын алады, себебі құрамында жоғары сапалы ақуыз, май, дәрумендер мен минералды заттар бар.