Progress in Science

DIGITAL TRANSFORMATION AND DASHBOARD ANALYTICS IN CRISIS MANAGEMENT OF A HEALTHCARE ORGANIZATION: EVIDENCE FROM CLINIC MIRAS

Gaukhar T. Igimbayeva, Gulzira B. Estekova, Yan V. Yurchuk, Aisulu Igimbayeva — Mon, 15 Jun 2026 00:00:00 +0000

The increasing complexity of healthcare systems, workforce shortages, financial constraints, and growing patient expectations require healthcare organizations to transition from reactive crisis response to predictive and data-driven management. This study aims to assess the role of digital transformation and dashboard analytics in strengthening organizational resilience using the case of Clinic Miras, a multidisciplinary healthcare organization in Kazakhstan. A mixed-method case study approach was applied, integrating operational, financial, workforce, and patient-related indicators. The study demonstrates that dashboard analytics enables early detection of operational bottlenecks, supports managerial decision-making, improves resource allocation, and enhances organizational resilience. Based on the findings, the MIRAS-RESILIENCE 7D framework is proposed as an integrated crisis management model for healthcare organizations.

Анатомо-морфометрическая характеристика локализации питательных отверстий бедренной кости человека

Айдана Сайдахметова, Тасбулат Досаев, Мараткызы Камила — Mon, 15 Jun 2026 00:00:00 +0000

Питательное отверстие представляет собой небольшое отверстие в кости, через которое в костную ткань входит питающая артерия, обеспечивающая кровоснабжение, рост и процессы окостенения. Питающая артерия длинных костей проходит через питательное отверстие косо и далее следует по питательному каналу в костномозговую полость. Локализация питательных отверстий может изменяться в процессе роста кости, поскольку один из её концов растёт быстрее другого. У взрослых питающий канал имеет единственный наружный выход — питательное отверстие. Сохранение артериального кровоснабжения имеет важное значение для жизнеспособности костной ткани, особенно при проведении реконструктивных операций и использовании васкуляризированных костных трансплантатов. Знание топографии питательных отверстий необходимо для предотвращения повреждения сосудов при выполнении ортопедических и травматологических вмешательств

THE TRANSFORMATION OF THE WELFARE STATE: INTERSECTORAL COOPERATION AS A STRATEGIC RESOURCE FOR SOCIAL DEVELOPMENT

Olessya Zhidkoblinova — Mon, 15 Jun 2026 00:00:00 +0000

This article examines the evolution of the welfare state concept and analyzes the changing roles of the state, business, and civil society in addressing contemporary social challenges. Particular attention is paid to the institutional mechanisms that facilitate intersectoral cooperation, including public-private partnerships, social contracting, social entrepreneurship, ESG-oriented practices, public consultations, and collaborative governance arrangements.

The findings indicate that the effectiveness of the contemporary welfare state depends not on the expansion of state intervention, but on the quality of intersectoral cooperation aimed at creating public value and addressing complex social challenges. Based on the analysis, a concentric model of intersectoral cooperation is proposed, conceptualizing cooperation as a strategic resource for welfare state development and explaining the relationship between institutional cooperation mechanisms and social development outcomes

AZƏRBAYCAN ƏRAZİSİNDƏN KEÇƏN BEYNƏLXALQ NƏQLİYYAT DƏHLİZLƏRİNİN İQTİSADİ TƏSİRİNİN QİYMƏTLƏNDİRİLMƏSİ VƏ İNKİŞAF PERSPEKTİVLƏRİ

Məmmədzadə Dəyanət Gülhəsən — Mon, 15 Jun 2026 00:00:00 +0000

Bu tədqiqat Azərbaycan ərazisindən keçən beynəlxalq nəqliyyat dəhlizlərinin — Orta Dəhliz və Şimal-Cənub dəhlizinin — milli iqtisadiyyata çoxşaxəli təsirini araşdırır. Ölkənin Avropa ilə Asiya arasındakı strateji coğrafi mövqeyindən irəli gələn tranzit üstünlükləri, infrastruktur inkişafı, yeni iş yerlərinin yaranması və regional sosial-iqtisadi canlanma baxımından qiymətləndirilir. Eyni zamanda dövlət siyasəti, institusional mexanizmlər və rəqəmsal idarəetmə vasitələrinin dəhliz rəqabət qabiliyyətinə töhfəsi müzakirə olunur

BEYNƏLXALQ NƏQLİYYAT DƏHLİZLƏRİNİN AZƏRBAYCANIN XARİCİ TİCARƏTİNƏ TƏSİRİ: QİYMƏTLƏNDİRMƏ VƏ İNKİŞAF PERSPEKTİVLƏRİ

Məmmədzadə Dəyanət Gülhəsən — Mon, 15 Jun 2026 00:00:00 +0000

Bu tədqiqat beynəlxalq nəqliyyat dəhlizlərinin Azərbaycanın xarici ticarət göstəricilərinə çoxşaxəli təsirini araşdırır. Ölkənin ixrac potensialının genişlənməsinə, idxal xərclərinin azaldılmasına və ticarət ortaqları ilə əlaqələrin dərinləşməsinə nəqliyyat infrastrukturunun töhfəsi qiymətləndirilir. Logistika xərclərinin azalması, çatdırılma müddətlərinin qısalması və bazarlara çıxış imkanlarının genişlənməsi baxımından dəhlizlərin xarici ticarət rəqabət qabiliyyətinə müsbət təsiri əsaslandırılır

İSTEHSAL MÜƏSSİSƏLƏRİNDƏ MALİYYƏ ÖHDƏLİKLƏRİNİN UÇOTU: BEYNƏLXALQ STANDARTLARIN TƏTBİQİ MƏSƏLƏLƏRİ

Xalıqov Mirmehrac Yalçın oğlu, Loğman İmran oğlu Abdullayev — Mon, 15 Jun 2026 00:00:00 +0000

Müasir iqtisadi şəraitdə müəssisələrin maliyyə fəaliyyətinin düzgün uçotunun təşkili və maliyyə hesabatlarının beynəlxalq standartlara uyğun hazırlanması xüsusi əhəmiyyət kəsb edir. Maliyyə öhdəliklərinin uçotu müəssisələrin maliyyə sabitliyinin təmin olunması və maliyyə hesabatlarının şəffaflığının artırılması baxımından mühüm rol oynayır. Məqalədə istehsal müəssisələrində maliyyə öhdəliklərinin uçotunun beynəlxalq maliyyə hesabatı standartlarına uyğun təşkili məsələləri araşdırılmışdır. Tədqiqat zamanı maliyyə öhdəliklərinin tanınması, qiymətləndirilməsi və maliyyə hesabatlarında əks etdirilməsi prinsipləri təhlil edilmişdir. Eyni zamanda IFRS 9 standartının maliyyə öhdəliklərinin uçotunda tətbiqi xüsusiyyətləri və mövcud problemlər araşdırılmışdır.

İkinci Qarabağ Müharibəsindən sonra daşınmaz əmlak və mülkiyyət hüquqlarının bərpası prosesi: problemlər və perspektivlər

Həmzəyev Səxavət Eldar oğlu — Mon, 15 Jun 2026 00:00:00 +0000

. İkinci Qarabağ müharibəsindən sonra azad edilmiş ərazilərdə genişmiqyaslı bərpa və yenidənqurma işlərinin həyata keçirilməsi Qarabağ iqtisadi zonasında daşınmaz əmlak sektorunun inkişafı üçün yeni imkanlar yaratmışdır. Regionda yaşayış məntəqələrinin yenidən qurulması, müasir şəhərsalma prinsiplərinin tətbiqi, nəqliyyat və kommunal infrastrukturun bərpası daşınmaz əmlak bazarının formalaşmasına və inkişafına mühüm təsir göstərir. Məqalədə Qarabağ iqtisadi zonasında daşınmaz əmlakın inkişaf istiqamətləri, bu sahəyə təsir edən əsas amillər, dövlət tərəfindən həyata keçirilən bərpa proqramları və investisiya layihələri təhlil edilir. Həmçinin mülkiyyət hüquqlarının bərpası, əhalinin geri qayıdışı, “Ağıllı şəhər” və “Ağıllı kənd” konsepsiyalarının tətbiqi, eləcə də regionun sosial-iqtisadi inkişafının daşınmaz əmlak bazarına təsiri araşdırılır. Tədqiqat nəticəsində müəyyən edilmişdir ki, Qarabağ iqtisadi zonasında daşınmaz əmlak sektorunun davamlı inkişafı üçün infrastruktur layihələrinin genişləndirilməsi, investisiya mühitinin təkmilləşdirilməsi və müasir idarəetmə mexanizmlərinin tətbiqi xüsusi əhəmiyyət kəsb edir

Қазақстан республикасының туризм саласындағы жобалық басқару

Игембаева Малика Жумгарашидовна — Mon, 15 Jun 2026 00:00:00 +0000

Мақалада Қазақстан Республикасының Туризм саласындағы жобалық басқаруды қолданудың теориялық және практикалық аспектілері қарастырылған. Жобалық тәсілдің негізгі қағидаттары, оны туристік саланы мемлекеттік басқаруға енгізу ерекшеліктері, сондай-ақ туризмді дамытудың стратегиялық мақсаттарын іске асырудағы жобалық басқарудың рөлі зерттелді. Туристік жобаларды басқарудың қолданыстағы тетіктері талданды, салада жобалық тәсілді енгізудің негізгі артықшылықтары мен проблемалары айқындалды. Мемлекеттік басқару тиімділігін арттыру және Қазақстанның туристік индустриясын орнықты дамыту құралы ретінде жобалық басқаруды одан әрі жетілдіру қажеттілігі туралы қорытынды жасалды.

Tikinti müəssisələrində ümumi istehsal xərclərinin uçotu və bölüşdürülməsi problemləri

Fariz Müslümov, Qahir Mikayılov — Mon, 15 Jun 2026 00:00:00 +0000

The construction sector occupies a strategically important place in the economy of the Republic of Azerbaijan, accounting for 6.5 percent of the country's gross domestic product in 2025. Despite this significance, construction enterprises continue to face serious methodological challenges in the area of overhead cost accounting and allocation. The incorrect selection of allocation methods leads to systematic distortions in project cost calculations, pricing errors, and unreliable financial reporting.
This article investigates the accounting and allocation of overhead costs among construction projects, with a particular focus on three widely applied methods: the direct labor cost base method, the machine-hour base method, and the Activity-Based Costing (ABC) method. The study provides a comparative theoretical analysis of these methods, examining their respective advantages, limitations, and suitability for the specific characteristics of the construction industry, including long production cycles, simultaneous execution of multiple projects, high capital intensity, and seasonal fluctuations. The research demonstrates that the direct labor cost base method, which remains the most prevalent approach among Azerbaijani construction enterprises, is methodologically inadequate for capital-intensive projects and produces significant distortions in overhead allocation. The machine-hour base method offers a more appropriate alternative for technically complex projects, while the ABC method provides the highest degree of accuracy by applying separate allocation bases for each overhead cost category. The findings confirm the research hypothesis that the choice of allocation method materially affects project cost calculations. Practical recommendations are put forward for improving overhead cost accounting in Azerbaijani construction enterprises, including the phased introduction of the ABC method, the expansion of analytical accounting accounts, and the modernization of the regulatory framework in line with the requirements of IFRS 15.

GLOBAL CARBON MARKETS AND CLIMATE FINANCE: CHALLENGES AND OPPORTUNITIES FOR DEVELOPING ECONOMIES

ABDULLAYEV ELGUN — Mon, 15 Jun 2026 00:00:00 +0000

This article examines how global carbon markets operate, the failure of which when measured against its possible potential, and its effects on the developing countries struggling to finance their low-carbon development through the means of carbon trading mechanisms. Using the information from the World Bank, the International Monetary Fund, Climate Policy Initiative, and UNFCCC, this essay discusses carbon market compliance and voluntarism, the movement of climate finance, and obstacles that hinder the utilization by poor countries of both approaches. Pricing for carbon currently affects 29% of all global emissions, raising more than USD 107 billion annually but still lagging behind Paris Agreement targets. Annual climate finance reached over USD 2 trillion by 2024 but is highly unevenly distributed across the globe, accounting for less than 3% of GDP in sub-Saharan Africa. The core of this problem is that the shortcomings in the carbon market and in access to climate finance are interconnected: the latter depends on fixing the former

Between Loyalty and Performance: A Conceptual Framework for Understanding Informal Network Influence on HRM in the South Caucasus

Zurab Mushkudiani, Natia Zhozhuashvili, Ketevan Goletiani — Mon, 15 Jun 2026 00:00:00 +0000

This paper develops a conceptual framework to understand how informal social networks shape human resource management (HRM) practices in the South Caucasus, drawing on theoretical work on organizations in Georgia, Armenia, and Azerbaijan. Drawing on institutional theory, social capital theory, and comparative HRM scholarship, the paper identifies a structural tension, termed the loyalty-performance tension, between the relational logic embedded in post-Soviet informal networks and the meritocratic logic prescribed by mainstream HRM theory. The framework proposes that this tension is governed by four interacting determinants: the quality of the institutional environment, the depth of network embeddedness, professional HRM competence, and resource availability. The paper argues that loyalty logic in HRM is not a cultural residue awaiting dissolution through institutional modernization but a rational, adaptive governance mechanism that persists because formal institutions do not yet provide equivalent guarantees of reliability, competence, or trustworthy conduct. Five theoretically grounded propositions are advanced, each carrying specific implications for comparative HRM theory, institutional scholarship, and practitioners engaged in people management reform across post-Soviet contexts. The paper concludes by establishing a research agenda for empirical investigation of the framework across the South Caucasus and cognate settings.

Behind the Glitter of the Floor: The Dark Side of Ballroom Dance

Serik Aisulu, Elmira Nurakhanova, Marina Zhussupova — Mon, 15 Jun 2026 00:00:00 +0000

This article examines the development of Dance Sport in the Republic of Kazakhstan through the prism of personal experience. The authors highlight current issues and challenges of this sport, such as lack of funding, societal stereotypes, high tuition fees, judging issues, and the risk of injury

BUĞDA ÇÖRƏYİNİN TƏZƏLİYİNİN QORUNMASINDA DARÇIN EKSTRAKTININ TƏBİİ KONSERVANT KİMİ TƏTBİQİ

Allahverdiyev Seymur İlham oğlu, Məmmədəliyeva Məryam Xalıq qızı — Mon, 15 Jun 2026 00:00:00 +0000

Bu tədqiqat işi buğda çörəyinin təzəliyinin qorunması məqsədilə darçın ekstraktının (Cinnamomum verum) təbii konservant kimi tətbiqinin effektivliyini araşdırır. Müasir istehlakçıların sintetik konservantlara qarşı ehtiyatlı mövqeyi və təbii komponentlərə üstünlük verməsi çörək sənayesində bioinnovativ texnologiyaların inkişafını zəruri etmişdir. Tədqiqatda iki çörək nümunəsi – kontrol (K) və 0,5% darçın əlavəli (D) – eyni resepturada hazırlanmış, hər iki nümunədə nəmlik və turşuluq göstəriciləri standart laboratoriya metodları ilə təyin edilmişdir.
Eksperimental nəticələrə əsasən, darçınlı nümunədə nəmlik 38,506% (105°C-də qurutma), turşuluq 2,6°N (0,1 n NaOH titrləmə) təşkil etmişdir. Kontrol nümunədə müvafiq göstəricilər 39,8% və 2,9°N olmuşdur. Hər iki nümunə AZS 18-71-2014 standartına uyğundur. Darçınlı nümunə xarakterik aroma və qızılı qəhvəyi qabıq rəngi ilə fərqlənmişdir. Beləliklə, darçın ekstraktının 0,5% dozasında tətbiqi həm elmi, həm də praktiki baxımdan səmərəli yanaşmadır.

Yield and correlation indices of Chinese buckwheat varieties with the local standard in the conditions of the Akmola region

Mon, 15 Jun 2026 00:00:00 +0000

Buckwheat (Fagopyrum esculentum Moench.) is a plant species belonging to the Polygonaceae family and represents one of the earliest crops domesticated in Asia. Historically, it served as an important food source and was extensively cultivated and consumed between the 17th and 19th centuries. Its cultivation and consumption later declined in many Western countries as wheat became the dominant cereal crop. In recent decades, however, growing interest in healthy diets and functional foods has renewed attention to buckwheat due to its exceptional nutritional qualities. Today, it is widely recognized as a nutrient-rich pseudocereal with considerable potential for future food systems.

Compared with many traditional cereal crops, buckwheat contains higher levels of valuable nutrients and bioactive compounds, including rutin, dietary fiber, iron, and various essential micronutrients. Its grains are naturally gluten-free and provide a favorable amino acid profile, particularly because of their relatively high lysine content. In addition, buckwheat is capable of growing on relatively poor soils and therefore can be cultivated under conditions where other crops may perform less successfully. Nevertheless, its productivity can be significantly affected by adverse environmental conditions such as frost, low temperatures, heat stress, dry winds, and drought.

Yield is a key criterion in the evaluation and selection of new buckwheat varieties for agricultural production, where a statistically proven yield advantage of at least 20% over the standard is a mandatory requirement for the introduction of a new variety.

As one of the most valuable characteristics, this indicator reflects the realization of a plant's biological potential under specific conditions, simultaneously demonstrating the adaptability, plasticity, and stability of a variety. Since the primary goals of agriculture are to achieve maximum yield while ensuring high seed quality and maintaining soil fertility, an objective assessment and successful introduction of varieties requires not only optimizing all controllable plant factors but also considering the impact of unpredictable natural conditions.

The Nature of Language Change

Tamar Tsulaia — Mon, 15 Jun 2026 00:00:00 +0000

The presented study discusses the nature of language change caused by its internal and external elements. It reviews changes brought about by internal and external factors. Internal factors relate to the inherent laws of language development and include changes in spelling, pronunciation, grammar, and vocabulary. External factors, on the other hand, are connected with political, social, cultural, and educational conditions outside the language itself, such as migration, military conquests, language contact, bilingualism, industrialization, social and economic fluctuations, educational policy, and so on.
We discuss the existence of many different ways in which language changes occur, such as language change during the learning process, linguistic change through social differentiation, and linguistic change through natural processes arising from language use.
It is noted that in modern linguistics there is an increasingly widespread recognition of the approach that language change should be considered as the result of the interaction between internal and external factors. For example, structural possibilities (internal motivation) are sometimes realized only when there is social pressure or a favorable context for the spread of innovation. Consequently, a comprehensive analysis of language change requires consideration not only of the logic of the linguistic system, but also of the social experience and behavioral patterns of language users

Poetic Translation as Cross-Linguistic Mediation in Foreign Language Teaching: A Conceptual Pedagogical Model

Mon, 15 Jun 2026 00:00:00 +0000

This article addresses a conceptual gap at the intersection of pedagogical translation, literature-based foreign language teaching, cross-linguistic mediation, and reflective writing. Although translation has been reconsidered as a useful resource in language teaching, poetic translation remains insufficiently modelled as a distinct classroom practice that links interpretation, mediation, and learner reflection. Similarly, poetry is often valued for cultural and literary engagement, while reflective writing is associated with metacognitive awareness; however, these areas are rarely integrated into a single pedagogical framework. Using an integrative conceptual review based on theory synthesis and model construction, this article proposes the Poetic Translation Mediation Cycle. The model consists of seven stages: contextual orientation, interpretive reading, lexical-semantic mapping, draft translation, mediation decision-making, reflective translation commentary, and revision through discussion. The article does not claim empirical effectiveness. Instead, it offers a theoretically grounded and classroom-oriented framework for future application and research in foreign language teaching.

А.БАЙТҰРСЫНҰЛЫ МЫСАЛДАРЫН ОҚЫТУДЫҢ ЕРЕКШЕЛІКТЕРІ

Кушкимбаева А.С., Тәңірбергенова Г.К. — Mon, 15 Jun 2026 00:00:00 +0000

XX ғасырдың басында қазақ халқы аса ipi қоғамдық-саяси өзгерістермен қатар ауқымды рухани жаңғыруларды да бастан кешті. Ұлттық мәдениет пен әдебиеттің, білім мен ғылымның туын көтерген, жұртшылықтың санасына демократиялық ойлар сіңіріп, алға жетелеуге ұмтылған зиялы топ қалыптасты. Халықтың зердесіне сәуле түсіріп, санасын оятқан осы топтың рухани көсемі Ахмет Байтұрсынов еді. Қазақ ауыз әдебиетінің зерттелуі А.Байтұрсынов пен Х.Досмұхамедовтан бастау алары сөзсіз. Аталмыш ғалымдардың ауыз әдебиеті жайлы алғашқы пікір-пайымдаулары кейінгі фольклорист-зерттеушілерге capa жол салды. Осы орайда аталған ғалымдардың назарынан тыс қалмаған мысал жанры да ауыз әдебиетінен бастау алғандығына көз жеткізуге болады.Әрине, фольклорды зерттеп, жанрлық жағы сараланған еңбектерде көбінесе мысал жанры қалыс қалып жатады, дегенмен мысал жеке түр ретінде қарастырылмаса да, ол жайында азды-көпті пікірлер бар. «Мысал - айтылатын өнегелі ойды тұспалдап жеткізетін, көбіне өлең түрінде келетін сюжетті, шағын көлемді көркем шығарма» [1, 36] деген анықтамаға ие мысалдың түп төркіні хайуанаттар туралы тұспалды мағынасы бар ертегі, қысқа әңгімелер нұсқаларымен жалғасып жатыр. Бұның қаншалықты дәлелді екенін қазақ ғалымдарының осы жанрға байланысты ой-пікірлерімен нақтылай түсейік.

KAZAKHSTAN AND THE INTERNATIONAL EXPERIENCE OF SOCIOLOGICAL ANALYSIS OF THE LEGAL REGULATION OF ARTIFICIAL INTELLIGENCE

Bakhtiyar Tokhtakhunov — Mon, 15 Jun 2026 00:00:00 +0000

This article provides a brief sociological analysis comparing state models of legal regulation of artificial intelligence technologies in developed countries around the world. It describes the application of strategic risk-oriented platforms used in EU countries and delves briefly into the National Strategic Plan for the Development of Artificial Intelligence in the United States, where the study of the ethical, legal, and social consequences of implementing AI systems has been identified as one of the main strategies for the country’s development in the near future. The author justifies the relevance of the article through several interconnected processes: the global "regulatory boom" in the field of AI, ranging from the European AI Act to China’s Algorithm Recommendation Provisions and Kazakhstan’s Law "On Artificial Intelligence." The article also addresses the growing gap between the speed of technological development and society’s ability to comprehend and accept new rules of the game, as well as the necessity for developing countries, such as Kazakhstan, to formulate their own regulatory model that does not merely copy Western or Eastern examples but takes into account the national legal culture, the level of digital literacy, and the value orientations of the population. At the same time, the author does not overlook Kazakhstan’s closest neighbor and trade and economic partner, the People’s Republic of China. According to the author, as the practice of recent years has shown, AI technologies have already proven their effectiveness in China’s national security system. Thus, in order to minimize the criminogenic situation in highly unreliable regions, as well as to establish control over the largest technology companies (in order to prevent major IT giants such as Alibaba, Baidu, and Tencent from monopolizing citizens’ user data), the Chinese authorities have introduced a social credit system (social credit system), which evaluates the personality of each citizen according to specifically trained parameters. At the same time, the Chinese government declares that the main task of the system being implemented is not at all to ensure security, but rather to "build a harmonious socialist society". This article presents a comparative sociological analysis of the attitudes of populations from different cultural and civilizational regions towards the legal regulation of artificial intelligence. Special attention is paid to understanding international experience and its relevance for the countries of Central Asia, primarily for the Republic of Kazakhstan, which is actively shaping its own national model of AI regulation. The article concludes by raising the question of Kazakhstan’s competitive advantage in the battle for technological leadership in the digital environment at the regional level of Central Asia.

Sex- and Age-Stratified Bioinformatic Analysis of Human Aging: Molecular Mechanisms, Epigenetic Remodeling, and Large-Scale Omics Integration

Mon, 15 Jun 2026 00:00:00 +0000

Human aging is a heterogeneous biological process shaped by sex, tissue context, immune state, and cumulative molecular injury. Large-scale bioinformatic studies now indicate that males and females do not age identically at the transcriptomic and epigenetic levels, and that these differences are further modified by chronological age, cellular composition, and disease burden. A major unresolved challenge is how to integrate sex-stratified and age-stratified omics information into a coherent mechanistic framework that explains differential trajectories of inflammation, chromatin remodeling, transcriptional drift, and biological age acceleration. This article presents a journal-style integrative synthesis of human large-data analyses focused on transcriptomics, DNA methylation, single-cell profiling, and multi-tissue age prediction. Across blood, brain, lung, muscle, and frailty-related cohorts, convergent evidence suggests that aging-associated immune activation is not uniform between males and females, and that sex modifies both the amplitude and direction of age-linked molecular change. Transcriptome-scale studies indicate sex-dependent regulation of inflammatory programs, mitochondrial pathways, extracellular matrix remodeling, and cellular stress responses. Epigenetic analyses reveal widespread autosomal DNA methylation differences between men and women, as well as sex-specific age-related methylation dynamics that likely influence gene expression regulation across the lifespan. At the systems level, integrative analyses support a model in which endocrine environment, immune composition, chromatin state, and tissue-specific resilience interact to generate distinct aging phenotypes in males and females. Biological age estimators derived from RNA and DNA methylation further show that chronological age alone is insufficient to explain inter-individual variation, and that sex may be an independent modifier of molecular age trajectories. The most informative analytical designs therefore separate male and female participants, stratify by age group, control for cell-type composition, and integrate transcriptomic with epigenetic data rather than treating them as isolated layers. A high-impact framework for future studies should combine multi-omic harmonization, single-cell deconvolution, longitudinal modeling, and mechanistic interpretation of sex-biased regulatory networks. Such an approach will improve the understanding of healthy aging, inflammaging, frailty, neurodegeneration, and age-related disease susceptibility, while enabling more precise biomarkers and sex-aware translational strategies.

THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN DEVELOPING MICROBIOME AND HEALTH LITERACY IN BIOLOGY EDUCATION

Karassayeva Gulmira Askarovna — Mon, 15 Jun 2026 00:00:00 +0000

The rapid advancement of artificial intelligence (AI) technologies has transformed educational practices and created new opportunities for enhancing scientific literacy among secondary school students. In biology education, AI tools provide personalized learning experiences, adaptive feedback, and interactive environments that facilitate the understanding of complex biological concepts. One of the emerging areas of biological science is microbiome research, which has become increasingly important due to its role in human health and disease prevention. Despite its significance, microbiome-related content remains insufficiently represented in secondary school curricula. Furthermore, limited research has explored how AI technologies can support the development of microbiome literacy and health literacy among school students. This study proposes a quasi-experimental research design aimed at investigating the effectiveness of AI-supported biology instruction in developing microbiome literacy and health literacy among Grade 11 students. The proposed intervention integrates generative AI tools, adaptive learning systems, and microbiome simulations into biology lessons. Data will be collected through pre-tests, post-tests, questionnaires, and interviews. The study is expected to contribute to educational innovation by providing evidence-based recommendations for integrating AI technologies into biology education and promoting students’ scientific and health-related competencies.

ГЕОЛОГИЧЕСКОЕ СТРОЕНИЕ И ПЕРСПЕКТИВЫ МЕДНОГО ОРУДЕНЕНИЯ ПЛОЩАДИ КЫЗЫЛЖАЛ В ПРЕДЕЛАХ АЙ-КАРААУЛЬСКОГО МЕДНОРУДНОГО РАЙОНА (ВОСТОЧНЫЙ КАЗАХСТАН)

Кошжанов Анвар Айдарбекович — Mon, 15 Jun 2026 00:00:00 +0000

В статье представлены результаты геологоразведочных исследований, выполненных на площади Кызылжал, расположенной в пределах Ай-Карааульского меднорудного района Восточного Казахстана. Рассмотрены история геологической изученности территории, особенности стратиграфии, магматизма и тектоники района. Проведен анализ результатов геологических маршрутов, геохимического опробования и геофизических исследований. Установлено, что медная минерализация контролируется зонами тектонических нарушений северо-восточного и субмеридионального направлений и локализуется преимущественно в гидротермально измененных трахибазальтовых порфиритах. По результатам опробования выявлены содержания меди до 5,0 %, что подтверждает высокую перспективность площади для дальнейших поисково-разведочных работ.

THE ECONOMIC AND SOCIAL IMPACT OF THE COVID-19 PANDEMIC ON CENTRAL ASIA: A COMPARATIVE ANALYSIS OF FIVE STATES

Sherhanova Aydana Shershankyzy — Mon, 15 Jun 2026 00:00:00 +0000

Бұл мақалада COVID-19 пандемиясының Орталық Азияның бес мемлекетіне (Қазақстан, Өзбекстан, Қырғызстан, Тәжікстан, Түрікменстан) тигізген экономикалық және әлеуметтік салдарлары салыстырмалы талдау негізінде зерттеледі. ЖІӨ динамикасы, еңбек нарығының өзгерістері, шағын және орта бизнеске тигізген зиян, аударым ақшалары мен кедейшілік деңгейі сияқты негізгі макроэкономикалық және әлеуметтік көрсеткіштер талданады. Зерттеу пандемияның аймақтағы елдер арасындағы экономикалық теңсіздікті тереңдеткенін, ал ең осал топтар — еңбекші мигранттар, шағын бизнес өкілдері және ауылдық халық — екенін дәлелдейді

ТЕРБЕЛІСТЕР МЕН ТОЛҚЫНДАРДЫ ОҚЫТУДА ЦИФРЛЫҚ ТЕХНОЛОГИЯЛАРДЫ ПАЙДАЛАНУДЫҢ ПЕДАГОГИКАЛЫҚ МҮМКІНДІКТЕРІ

Ғаниқызы Фатима — Mon, 15 Jun 2026 00:00:00 +0000

Мақалада физиканың «Тербелістер мен толқындар» бөлімін оқыту барысында цифрлық білім беру платформаларын пайдаланудың педагогикалық және әдістемелік мүмкіндіктері қарастырылады. Қазіргі білім беру жүйесіндегі цифрландыру үдерісі оқытудың жаңа формалары мен технологияларын енгізуді талап етеді. Физика пәніндегі күрделі және абстрактілі ұғымдарды түсіндіруде цифрлық платформалар маңызды рөл атқарады. Зерттеу барысында PhET, GeoGebra және виртуалды зертханалар сияқты цифрлық ресурстардың оқу процесіне әсері талданды. Цифрлық платформаларды пайдалану оқушылардың танымдық белсенділігін арттырып, теориялық білімді тәжірибемен ұштастыруға мүмкіндік беретіні анықталды

БЕЙІНДІ СЫНЫПТАРДА ТРИГОНОМЕТРИЯЛЫҚ ТЕҢДЕУЛЕРДІ ОҚЫТУДА ДЕҢГЕЙЛІК ТАПСЫРМАЛАР ЖҮЙЕСІН ҚОЛДАНУ

Жұмат Нұрсұлтан Әбдімұратұлы, Тұртқараева Гүлнар Баянқызы — Mon, 15 Jun 2026 00:00:00 +0000

бұл мақалада бейіндік сыныптарда тригонометриялық теңдеулерді оқытуда деңгейлік тапсырмалар жүйесін қолданудың тиімділігі қарастырылады. Тригонометриялық теңдеулерді меңгеру барысында оқушылардың кездесетін қиындықтары талданып, оларды еңсерудің әдістемелік жолдары ұсынылады. Автор тригонометриялық теңдеулерді төрт деңгейге бөліп, әр деңгейге сәйкес тапсырмалар жүйесін ұсынады. Ұсынылған тәсіл оқушылардың білім сапасын арттыруға және есеп шығару дағдыларын дамытуға бағытталған

ABOUT ARTİFİCAL İNTELLİGENCE SYSTEMS

Aygün Sultanova Haji gizi — Mon, 15 Jun 2026 00:00:00 +0000

Artificial intelligence refers to computer systems that are capable of performing tasks traditionally associated with human intelligence—for example, making predictions, identifying objects, interpreting speech, and generating natural language. AI systems learn by processing large amounts of data and looking for patterns to model their own decisions. In many cases, humans will supervise the AI’s learning process, reinforcing good decisions and preventing bad ones, but some AI systems are designed to learn unsupervised .

Artificial intelligence (AI) is a technology that allows machines to simulate human intelligence and cognitive capabilities. AI can be used to make decisions, solve problems, and perform tasks that are typically performed by humans.

While AI is an interdisciplinary science with many approaches, advances in machine learning, and especially deep learning, are transforming almost every industry, and AI is becoming an increasingly integral part of everyday life.

Artificial intelligence is a field of science concerned with creating computers and machines that can think, learn, and act in ways that would normally require human intelligence or that deal with data that is larger than humans can analyze.

Artificial intelligence is a technology that is currently being applied in various fields that are developing very rapidly.

A Holistic Perception of the World Through Integrated Approaches at the Primary Level

Shorena Tkemaladze — Mon, 15 Jun 2026 00:00:00 +0000

One of the paramount challenges of contemporary education is enabling students to perceive the intrinsic connection between the classroom and the real world. This article explores the integrated approach to a holistic perception of the world at the primary education level (Grades V–VI), utilizing the interdisciplinary intersection of Science, "Our Georgia" (Social Studies), and Visual Arts. Drawing upon the real-world context of Jean Giono's narrative, The Man Who Planted Trees, the paper analyzes how the educational process transforms from delivering isolated facts into a vehicle for developing sustainable thinking and active citizenship. The study details the core principles of holistic teaching, including authenticity, inquiry-based learning, and constructivism in practice. Furthermore, the paper differentiates between Project-Based Learning (PBL) and the holistic worldview approach, offering practical recommendations and open-ended inquiry frameworks for educators. The study concludes that engaging primary students in localized ecological action fosters a profound sense of global citizenship and long-term socio-environmental responsibility.

Жасөспірімдер арасында қимыл-қозғалыс белсенділігінің төмендеуі және оның алдын алу жолдары

Китаров Д.Ж., Базартаев Т.А. — Mon, 15 Jun 2026 00:00:00 +0000

Бұл мақалада жасөспірімдер арасында қимыл-қозғалыс белсенділігінің төмендеу мәселесі және оның алдын алу жолдары қарастырылады. Қазіргі таңда жасөспірімдердің отырықшы өмір салтын ұстануы, гаджеттерге тәуелділігі және физикалық жүктеменің жетіспеушілігі денсаулыққа кері әсерін тигізуде. Мақалада қимыл-қозғалыс белсенділігінің төмендеу себептері талданып, оның алдын алудың тиімді жолдары – отбасылық тәрбие, мектептегі дене шынықтыру сабақтарының рөлі, салауатты өмір салтын насихаттау және қосымша спорт үйірмелерінің маңызы ғылыми тұрғыдан негізделеді.

БИОЛОГИЯ САБАҚТАРЫНДА ЖАСАНДЫ ИНТЕЛЛЕКТ АРҚЫЛЫ ПАЛЕОНТОЛОГИЯЛЫҚ ДЕРЕКТЕРДІ ВИЗУАЛИЗАЦИЯЛАУ ӘДІСТЕМЕСІ

Муратқызы Аяулым, Токпанов Е.А — Mon, 15 Jun 2026 00:00:00 +0000

Палеонтологиялық материалдарды биология сабақтарында оқытудың инновациялық әдістемесін жасау шеңберінде жасанды интеллект технологияларының дидактикалық әлеуеті теориялық тұрғыдан негізделді. Оқушылардың сыни ойлауы мен зерттеушілік құзыреттіліктерін дамыту мақсатында генеративті мәтіндік және нейрожелілік графикалық платформалар арқылы палеобиологиялық нысандар туралы ғылыми гипотезаларды визуализациялау жолдары айқындалды. Промпт-инжиниринг әдісі мен нейрондық 3D-модельдеу процесі оқушылардың терминологиялық сауаттылығын арттыруға және деректерді верификациялау дағдыларын қалыптастыруға мүмкіндік беретін пәрменді құрал ретінде қарастырылады. Теориялық-методологиялық талдау нәтижесінде жаратылыстану білімі мен IT-технологиялар интеграциясын қамтамасыз ететін «сипаттама-промпт-визуализация» әдістемелік моделінің құрылымы айқындалды. Ұсынылған тұжырымдар мен әдістемелік тәсілдер биологиялық білім берудегі көрнекілік базасын заманауи цифрлық технологиялар арқылы кеңеюіне бағытталған.

ИНТЕРАКТИВНЫЙ ТРЕНАЖЁР КАК ИНСТРУМЕНТ ФОРМИРОВАНИЯ ПЕДАГОГИЧЕСКИХ НАВЫКОВ БУДУЩИХ УЧИТЕЛЕЙ МАТЕМАТИКИ: РАЗРАБОТКА И ЭКСПЕРИМЕНТАЛЬНАЯ АПРОБАЦИЯ

Кабдолла Ансаган Ооразбайулы, Дамекова С.К. — Mon, 15 Jun 2026 00:00:00 +0000

В статье представлены результаты разработки и экспериментальной апробации интерактивного тренажёра для формирования педагогических навыков будущих учителей математики. Тренажёр построен на нелинейной системе сценариев реальных школьных ситуаций с динамическими метриками и ориентирован на специфику казахстанской нормативно-правовой базы. Педагогический эксперимент с участием 35 студентов 3–4 курсов Кокшетауского университета им. Ш. Уалиханова подтвердил высокую эффективность тренажёра по трём группам критериев: когнитивным (прирост 55,1%, r = 0,71), деятельностным (43,5%, r = 0,68) и рефлексивным (36,2%, r = 0,59). Все эффекты статистически значимы (p < 0,001) и соответствуют большому размеру эффекта

THE TRANSFORMATIVE ROLE OF ICT IN EDUCATION: NEW APPROACHES IN THE CONTEXT OF ARTIFICIAL INTELLIGENCE AND ADAPTIVE LEARNING

Tayyiba Abishova — Mon, 15 Jun 2026 00:00:00 +0000

In modern education, the application of Information and Communication Technologies (ICT) has moved beyond a simple technical support role to become a transformative factor that fundamentally alters the content, methods, assessment mechanisms, and management models of teaching. The expansion of digital environments, the development of AI-based systems, learning analytics, and the proliferation of adaptive platforms have led education toward a more flexible, personalized, and data-driven decision-making structure.

This article examines the transformative role of ICT in the context of artificial intelligence (AI) and adaptive learning, systematizing the theoretical and practical foundations of new pedagogical approaches. AI technologies in education create value across several key areas: automated and objective assessment, intelligent tutoring systems that support individualized learning, predictive models based on learner behavior and performance indicators, and real-time content and task adaptation. These systems allow the identification of learners’ strengths and weaknesses, enabling the construction of personalized learning trajectories.

Adaptive learning models, in turn, dynamically adjust instructional content through diagnostic assessments, continuous monitoring, and algorithmic decision-making, replacing the “one-size-fits-all” approach with personalized learning experiences. The analysis demonstrates that these technological approaches are associated with increased motivation, immediate feedback, cognitive load optimization, and improved learning outcomes.

Additionally, the teacher’s role is transformed, shifting from a mere information provider to a learning designer and analytical decision-maker. The article highlights the hybrid teaching model – the collaboration of teachers and AI systems – as the most effective approach.

At the same time, the ethical and social risks of technology-driven transformation are evaluated: data privacy, algorithmic bias, digital inequality, and the potential negative impact of excessive automation on pedagogical quality are identified as key challenges.

The article concludes that, when applied within an appropriate methodological and ethical framework, ICT, AI, and adaptive learning systems have significant potential to enhance the quality, accessibility, and personalization of education, forming one of the central pillars of future educational models.

DÖVLƏT İNFORMASİYA SİSTEMLƏRİNİN TƏHSİL MÜƏSSİSƏLƏRİNDƏ İNTEQRASIYASI: PROBLEMLƏR VƏ HƏLL YOLLARI

İbrahimxəlilova Aysu Qabil qızı, Səfiyev Elşad Süleyman oğlu — Mon, 15 Jun 2026 00:00:00 +0000

XXI əsrdə informasiya-kommunikasiya texnologiyalarının sürətli inkişafı təhsil sistemində idarəetmə və təlim proseslərini dərindən dəyişmişdir. Dövlət informasiya sistemlərinin təhsil müəssisələrinə inteqrasiyası müasir təhsilin rəqəmsal əsasda qurulmasına, qərarların səmərəliliyinin artmasına və şəffaflığın təmininə xidmət edir. Məqalədə Azərbaycanın təhsil sektorunda dövlət informasiya sistemlərinin inkişafı, Ali Təhsil İnformasiya Sistemi (ATİS), Təhsil Mərkəzləşdirilmiş İnformasiya Sistemi (TMİS) kimi platformaların tətbiqi, bu inteqrasiyanın hüquqi və institusional əsasları, infrastruktur, texnologiya və insan resursları çətinlikləri təhlil edilir. Əldə edilmiş nəticələr göstərir ki, rəqəmsal strategiyalar və layihələrə baxmayaraq, informasiya sistemlərinin birgə işləməsi və informasiya təhlükəsizliyi sahəsində problemlər qalmaqdadır. Bu səbəbdən sənəddə vahid identifikasiya və autentifikasiya mexanizmlərinin qurulması, interoperabiliyə nail olunması, kadr hazırlığının gücləndirilməsi və kibertəhlükəsizlik tədbirlərinin təkmilləşdirilməsi üzrə təkliflər irəli sürülür.

Экстракция биологически активных соединений из Hypericum perforatum L.

Айтмагамбетова Диана, Жакупова Г.Н. — Mon, 15 Jun 2026 00:00:00 +0000

Зверобой продырявленный (Hypericum perforatum L.) является ценным источником биологически активных фенольных соединений – флавоноидов (рутин, кверцетин, гиперозид), нафтодиантронов (гиперицин) и производных флороглюцина (гиперфорин), обладающих антиоксидантной, противомикробной и консервирующей активностью. Эффективность извлечения данных соединений из растительного сырья критически зависит от выбранного метода экстракции и его параметров. В настоящем исследовании проведён сравнительный анализ традиционных (мацерация, перколяция, отваривание, экстракция Сокслетом, экстракция противотоком, водно-спиртовая экстракция с ферментацией) и современных (ультразвуковая, микроволновая, сверхкритическая флюидная, экстракция импульсным электрическим полем, гидродистилляция, Фитоника) методов экстракции применительно к сырью зверобоя. Экспериментально установлено, что для метода мацерации оптимальными параметрами являются: температура 50°C, продолжительность 24 часа, экстрагент – 70% этиловый спирт, соотношение сырьё: экстрагент 1:10. При данных условиях суммарное содержание фенольных соединений в экстракте из сухой травы зверобоя достигает 20,1 мг/г, а из образцов *in vitro* – 25,7 мг/г. Показано, что повышение концентрации этанола с 40% до 70% увеличивает выход фенольных соединений в 1,5-2,0 раза. Полученные результаты обосновывают выбор оптимального метода экстракции для максимального извлечения фенольных соединений из зверобоя с целью их использования в пищевой промышленности в качестве натуральных антиоксидантов и консервантов.

TƏHLİLİN VƏ ANALİZİN İNFORMASİYA SİSTEMLƏRİNİN İNTEQRASİYASINDA TƏSİRİNİN QİYMƏTLƏNDİRİLMƏSİ

Şıxbalayev Uveys Kərəm — Mon, 15 Jun 2026 00:00:00 +0000

Müasir rəqəmsal iqtisadiyyat şəraitində informasiya sistemlərinin inteqrasiyası müəssisələrin rəqabət qabiliyyətinin artırılması, biznes proseslərinin optimallaşdırılması və idarəetmə qərarlarının effektivliyinin yüksəldilməsi baxımından xüsusi əhəmiyyət kəsb edir. Tədqiqatın aktuallığı müxtəlif informasiya sistemlərinin vahid mühitdə inteqrasiyası zamanı təhlil və analiz proseslərinin həlledici rol oynaması ilə əlaqədardır. Bu baxımdan məqalənin məqsədi təhlil və analizin informasiya sistemlərinin inteqrasiyasına təsirini araşdırmaq, onların inteqrasiya layihələrinin uğurlu icrasına və səmərəliliyinə təsirini qiymətləndirməkdir. Tədqiqat zamanı sistemli yanaşma, müqayisəli təhlil və elmi ədəbiyyatın araşdırılması metodlarından istifadə edilmişdir.

Araşdırmanın nəticələri göstərir ki, keyfiyyətli təhlil və analiz inteqrasiya prosesində məlumat axınlarının düzgün müəyyənləşdirilməsinə, texniki və təşkilati risklərin azaldılmasına, resurslardan səmərəli istifadəyə və inteqrasiya xərclərinin optimallaşdırılmasına şərait yaradır. Eləcə də düzgün aparılmış analiz müəssisənin tələblərinə uyğun inteqrasiya modelinin seçilməsinə və informasiya sistemlərinin qarşılıqlı fəaliyyətinin təmin edilməsinə imkan verir.

Nəticə etibarilə müəyyən edilmişdir ki, təhlil və analiz informasiya sistemlərinin inteqrasiyasının əsas uğur amillərindən biri olmaqla rəqəmsal transformasiya proseslərinin effektiv həyata keçirilməsinə, müəssisələrin idarəetmə qabiliyyətinin gücləndirilməsinə və ümumi fəaliyyət səmərəliliyinin artırılmasına mühüm töhfə verir.

Comparative Assessment of Bioactive Compounds and Elemental Composition (Minerals and Toxic Elements) in Extract Enriched Yogurt

Zhakupova G., Sagandyk A., Akhmetzhanova A., Bagishov N. — Mon, 15 Jun 2026 00:00:00 +0000

This study aimed to compare the content of bioactive compounds and elemental composition in control yogurt and yogurt enriched with sweet clover (Melilotus officinalis) extract. The enriched yogurt showed a higher total polyphenol content (1.34 ± 0.05% vs. 1.28 ± 0.05%) and slightly lower flavonoid content (0.53 ± 0.02% vs. 0.59 ± 0.03%) compared with the control sample. Both samples contained detectable levels of B‑group vitamins and vitamin C, with minor differences between the formulations. The yogurt with sweet clover extract was characterized by slightly increased concentrations of calcium Ca, potassium K, magnesium Mg and phosphorus P, while levels of zinc Zn and iron Fe remained within a comparable range to the control. In all samples, toxic elements (lead Pb, cadmium Cd, arsenic As, mercury Hg) and cesium‑137 were not detected, and activity of potassium‑40 remained within regulatory limits. The results indicate that enrichment of yogurt with sweet clover extract improves its profile of bioactive compounds and minerals without compromising safety indicators, supporting its potential as a functional dairy product.

ЗАМАНАУИ LMS-ЖҮЙЕЛЕРІНІҢ АҚПАРАТТЫҚ ҚАУІПСІЗДІГІН ҚАМТАМАСЫЗ ЕТУДІҢ БАЗАЛЫҚ АСПЕКТІЛЕРІ

Басшықызы Динара, Сыбаш Зарина, Султан Нурхан — Mon, 15 Jun 2026 00:00:00 +0000

Оқыту басқару жүйелері (Learning Management Systems, LMS) білім беру экожүйесінде маңызды рөл атқарады, өйткені олар оқу материалдарына қол жеткізуді, білім беру процесіне қатысушылар арасындағы өзара байланысты және оқу деректерін басқаруды қамтамасыз етеді. Алайда бұл жүйелердің кеңінен қолданылуы киберқауіптер санының артуымен қатар жүреді, сондықтан ақпараттық қауіпсіздік мәселелері аса өзекті болып отыр.

Мақалада LMS жүйелеріндегі деректерді қорғаудың негізгі аспектілері қарастырылады, олардың ішінде SQL-инъекциялар, кросс-сайттық скриптинг (XSS), DDoS-шабуылдар және рұқсатсыз қол жеткізу сияқты қауіптер бар. Қауіпсіздікті қамтамасыз ету әдістері талданады, соның ішінде деректерді шифрлау, көпфакторлы аутентификация, бағдарламалық қамтамасыз етуді үнемі жаңарту және енуге тестілеу (penetration testing).

Платформалардың қауіпсіздігін қамтамасыз етудегі пайдаланушылардың рөліне және олардың киберқауіптер туралы хабардарлығын арттыру қажеттілігіне ерекше назар аударылады. Ұсынылған шаралар цифрландыру жағдайында құпия ақпаратты сенімді қорғауды қамтамасыз етуге және тәуекелдерді азайтуға бағытталған

МЕТОДЫ ЗАЩИТЫ И ОБЕСПЕЧЕНИЯ НАДЕЖНОСТИ МОДЕЛЕЙ МАШИННОГО ОБУЧЕНИЯ НА ОСНОВЕ ДАННЫХ СОЦИАЛЬНЫХ СЕТЕЙ

Абилханова Жазира Нурдаулетовна, Хаумен Бекжан, Дайырбек Акбота — Mon, 15 Jun 2026 00:00:00 +0000

В данной статье мы комплексно исследуем вопросы обеспечения безопасности моделей машинного обучения, использующих данные социальных сетей. В ходе исследования анализируются атаки инверсии модели, атаки отравления, атаки Sybil, обнаружение спам-кампаний, атаки деанонимизации и стратегии федеративного обучения (federated learning).

Исследование опирается на пять основных научных трудов: Benevenuto и др. Описывающих поведение пользователей в социальных сетях; Kayes и Iamnitchi , всесторонне рассмотревших вопросы конфиденциальности и безопасности в сетевых системах; McMahan и др. Предложивших алгоритм федеративного обучения; Fredrikson и др., исследовавших атаки инверсии модели; Jiang и др., изучавших гибкие атаки отравления.

Результаты исследования выявили основные уязвимости моделей машинного обучения и оценили эффективность защитных механизмов путем сравнительного анализа. Технология федеративного обучения значительно повышает безопасность сетевых систем, обеспечивая децентрализованное обучение на данных.

COMPARATIVE ANALYSIS OF ELASTIC PROPERTIES OF ROCKS FORMING THE GEOLOGICAL SECTION OF A DRILLED WELL

Gulshan S. Asadova, Aytan S. Omarova — Mon, 15 Jun 2026 00:00:00 +0000

This study presents a comprehensive comparative analysis of the elastic properties of rocks forming the geological sections of drilled wells, with particular emphasis on Poisson’s ratio as a key geomechanical parameter governing rock deformation behavior under in-situ stress conditions. Elastic properties of reservoir and non-reservoir formations play a decisive role in wellbore stability, fracture initiation, drilling safety, and the efficiency of completion and stimulation operations. Among these properties, Poisson’s ratio occupies a central position, as it directly reflects the ratio between lateral and axial strain and serves as an indicator of rock compressibility, shear rigidity, and mechanical integrity.

Poisson’s ratio is widely used in practical geomechanics for determining fracture pressure gradients, estimating minimum horizontal stress, and evaluating the susceptibility of formations to shear or tensile failure. Accurate determination of this parameter is therefore critical for predicting borehole collapse, lost circulation zones, and fracture propagation during hydraulic fracturing. In this context, the present study provides a detailed review and comparative assessment of classical laboratory-based methods and modern well-logging-based approaches for determining Poisson’s ratio in heterogeneous geological sections.

The methodology integrates data from acoustic logging (monopole and dipole sonic tools), density logs, and gamma-ray measurements to achieve reliable lithological differentiation and elastic characterization. The use of compressional (Vₚ) and shear (Vₛ) wave velocities allows Poisson’s ratio to be derived continuously along the wellbore, enabling high-resolution analysis of elastic property variations with depth. Gamma-ray logs are employed to distinguish clay-rich intervals from clean sandstones and carbonates, which is essential for interpreting elastic responses in mixed lithological sequences.

Building on an extensive body of published research and original datasets, the study systematically analyzes the relationships between Poisson’s ratio, elastic wave velocities, and key petrophysical parameters, including bulk density, porosity, mineral composition, fluid saturation, and cementation degree. The theoretical framework of the analysis is grounded in established rock physics models, such as Gassmann’s fluid substitution theory, Hertz–Mindlin contact mechanics, and effective medium approximations. These models provide insight into how changes in pore fluid, grain contacts, and confining stress influence elastic moduli and deformation behavior.

The comparative analysis reveals that Poisson’s ratio is a highly sensitive indicator of mechanical heterogeneity within geological sections. Clay-rich formations and shales typically exhibit elevated Poisson’s ratio values due to their reduced shear modulus, higher compressibility, and pronounced anisotropy. In contrast, well-cemented sandstones and carbonate rocks display lower Poisson’s ratio values, reflecting stronger grain frameworks, higher elastic moduli, and greater resistance to deformation. Fluid saturation effects are also significant: gas-bearing formations tend to show reduced Poisson’s ratio compared to water-saturated intervals, owing to the decrease in bulk modulus and changes in elastic wave velocities.

Special attention is given to the influence of elastic anisotropy, particularly in laminated shales, where Poisson’s ratio may vary depending on wave propagation direction. The study demonstrates that conventional isotropic interpretations of sonic logs can lead to substantial errors in Poisson’s ratio estimation in such formations. To address this limitation, the application of dipole sonic logging, azimuthal measurements, and advanced inversion techniques is emphasized as a means of improving the accuracy of elastic property evaluation.

The results of this study have important practical implications for drilling and reservoir engineering. Improved characterization of elastic property distributions enhances the reliability of geomechanical models used for well design, mud weight selection, casing program optimization, and hydraulic fracture planning. By integrating multi-source logging data with rock physics modeling, the proposed approach enables more accurate prediction of formation behavior under operational loads and stress changes.

Overall, the findings confirm that a comparative analysis of elastic properties—centered on Poisson’s ratio—provides a robust framework for assessing the mechanical behavior of complex geological sections. The study underscores the necessity of integrating petrophysical, geophysical, and geomechanical data to achieve a holistic understanding of subsurface formations and to support safe, efficient, and economically optimized drilling operations

State Management of the Tourism Sector as a Socio-Economic System in the Republic of Kazakhstan

Igembayeva Malika, Zhetpisbayeva Muhtarima — Mon, 15 Jun 2026 00:00:00 +0000

The tourism sector in the Republic of Kazakhstan functions as a multifaceted socio-economic system, shaped by deliberate state policies aimed at economic diversification, regional balance, cultural heritage preservation, and environmental sustainability. This article offers a comprehensive examination of the institutional architecture, strategic policy instruments, governance mechanisms, and empirical performance outcomes within Kazakhstan’s tourism management framework. Drawing on official statistical data, program evaluations, and comparative international benchmarks, the analysis highlights the sector’s growing contributions to gross domestic product (GDP), employment, foreign exchange earnings, and social cohesion. At the same time, it critically addresses structural challenges such as infrastructure bottlenecks, human capital deficits, regulatory fragmentation, and sustainability pressures amid rapid visitor growth. The study traces the state’s evolving role from direct administrative control toward a more facilitative, collaborative model emphasizing public-private partnerships (PPPs) and community engagement. Policy recommendations focus on digital transformation, skills enhancement, integrated planning, and alignment with Sustainable Development Goals (SDGs) to bolster Kazakhstan’s international competitiveness.

Data-Driven Public Governance: Integrating Cloud Platforms, Databases, and Analytical Technologies for Effective Decision-Making

Elza Bitsadze, Lia janadze, Mtvarisa Zautashvili — Mon, 15 Jun 2026 00:00:00 +0000

The rapid advancement of digital technologies has significantly transformed the way public institutions manage information, deliver services, and support decision-making processes. In recent years, governments around the world have increasingly adopted data-driven approaches to governance, recognizing the strategic value of data as a critical resource for improving public administration, transparency, efficiency, and citizen engagement (Bitsadze, 2026; Bitsadze & Janadze, 2026).. This transformation has been facilitated by the integration of cloud computing platforms, modern database systems, and analytical technologies that enable the collection, storage, processing, and interpretation of large volumes of data generated across various sectors of public administration.
This paper examines the role of cloud platforms, databases, and analytical technologies in supporting data-driven public governance. Cloud computing provides scalable, flexible, and cost-effective infrastructure that allows government organizations to manage digital services and information resources more efficiently. Through Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) models, public institutions can enhance operational performance, reduce infrastructure costs, and ensure the availability of critical information systems. Furthermore, cloud-based environments facilitate collaboration, interoperability, and secure access to public data across different governmental departments.
Database technologies represent another fundamental component of digital governance. Modern relational and non-relational database systems enable public organizations to manage structured and unstructured data generated through administrative processes, public services, and citizen interactions. Effective database management supports data integrity, consistency, security, and accessibility, thereby providing a reliable foundation for evidence-based policymaking and strategic planning. The integration of cloud databases further enhances data availability and supports real-time information exchange across public institutions.
Analytical technologies, including business intelligence platforms, data visualization tools, predictive analytics, and artificial intelligence techniques, transform raw data into actionable insights. These technologies support decision-makers by identifying patterns, trends, and relationships within complex datasets, enabling more accurate forecasting, resource allocation, risk assessment, and policy evaluation. Solutions such as dashboards and interactive reports facilitate the communication of key performance indicators and enhance transparency in public sector operations.
The study highlights the growing importance of integrated digital ecosystems that combine cloud infrastructure, database technologies, and advanced analytics to improve governance outcomes. By leveraging these technologies, public institutions can strengthen data-driven decision-making, optimize service delivery, enhance accountability, and respond more effectively to societal challenges. At the same time, successful implementation requires addressing challenges related to data security, privacy protection, regulatory compliance, interoperability, and digital skills development.
In conclusion, the integration of cloud platforms, databases, and analytical technologies represents a critical enabler of modern public governance. As governments continue their digital transformation journeys, data-driven approaches will play an increasingly important role in creating more efficient, transparent, and citizen-centered public services, ultimately contributing to sustainable public sector innovation and improved governance performance.

Анализ производительности сети при внедрении мер безопасности

Жақия Алашхан Қайратұлы — Mon, 15 Jun 2026 00:00:00 +0000

В данной статье рассматривается разработка системы мониторинга производительности сети, обеспечивающей наблюдение в реальном времени за влиянием мер безопасности на общую эффективность сетевой инфраструктуры. Проведён анализ ключевых метрик: пропускной способности, задержки и потери пакетов — до и после внедрения средств защиты. Экспериментально исследовано влияние различных методов шифрования (WEP, WPA2, WPA3) на производительность сети. Результаты показывают, что применение современных протоколов безопасности приводит к незначительному снижению скорости передачи данных, однако существенно повышает уровень защищённости инфраструктуры

Critical Infrastructure Protection: A Cybersecurity Conceptual Model

Aigerim Rakhysh, Daniyar Aronov — Mon, 15 Jun 2026 00:00:00 +0000

In the face of growing cyber threats, protecting critical infrastructure is becoming a priority. This article presents a conceptual model of cybersecurity based on the principle of security on demand. The model divides the data processing process into three domains — transmission, processing, and storage, which allows for the implementation of adaptive protection mechanisms. The work provides methods for managing security parameters, the use of cryptographic hash functions, and integration with the Security Operations Center (SOC). In addition, the possibilities of using machine learning and digital twins to predict attacks and optimize cyber defense strategies are analyzed. The proposed model provides flexibility, scalability, and automatic adaptation to changing threats. In addition, a simple simulation using RandomForest was also created. In the future, we will add artificial intelligence and test its resistance to each attack.

Darkness That Teaches: A Conceptual Framework for Fear-Based Learning in AR/VR Through Folk-Legend Horror Games

Sintikov Yerkebulan Kanatovich, Yemukhanbetov Zhantore Serikovich — Mon, 15 Jun 2026 00:00:00 +0000

Conventional education treats fear as an obstacle to learning and works to remove it. Yet research on emotional memory and recreational horror suggests the opposite may hold under controlled conditions: moderate, narratively framed fear can sharpen attention, strengthen memory consolidation, and serve as low-stakes practice for emotional regulation. This paper asks how augmented and virtual reality (AR/VR) can be designed to harness controlled fear for educational ends, with cultural heritage delivered through folk-legend narrative as the content. Using a structured synthesis of peer-reviewed work across four domains—the psychology of fear and memory, recreational horror as threat simulation, immersive learning theory, and serious games for heritage—the paper derives a conceptual framework, Darkness That Teaches, that links folk-legend narrative, immersive presence and agency, a calibrated fear-arousal window, and affective–cognitive learning processes to three target outcomes: cultural-heritage knowledge, emotional-regulation skill, and durable retention. The framework is operationalised as a design model with an AI-driven arousal-calibration loop that keeps each learner inside an optimal-fear window. The contribution is conceptual: it addresses the standard objection that fear impairs cognition, formulates testable design principles and hypotheses, and sets out an empirical agenda rather than reporting a trial. The intersection of folk-legend horror, AR/VR immersion, and formal learning outcomes is, to the authors’ knowledge, not yet addressed in the literature

Paylanmış hesablama mühitində Apache Spark platformasının tətbiq imkanları

Şamil Hacıyev, Firuz Qurbanov — Mon, 15 Jun 2026 00:00:00 +0000

Müasir dövrdə rəqəmsal texnologiyaların inkişafı, internet xidmətlərinin genişlənməsi və müxtəlif informasiya sistemlərinin fəaliyyətinin artması nəticəsində yaradılan məlumatların həcmi sürətlə çoxalmaqdadır. Böyük verilənlər (Big Data) adlandırılan bu məlumatların emalı ənənəvi hesablama sistemləri üçün ciddi çətinliklər yaradır və daha məhsuldar texnologiyaların tətbiqini zəruri edir. Bu məqsədlə paylanmış hesablama mühitləri və böyük verilənlərin paralel emalını təmin edən platformalar geniş istifadə olunmağa başlanmışdır. Belə platformalar arasında Apache Spark yüksək məhsuldarlığı, operativ yaddaş əsaslı işləmə mexanizmi və geniş funksional imkanları ilə xüsusi yer tutur. Apache Spark böyük həcmli verilənlərin sürətli emalına imkan verməklə yanaşı, real vaxt məlumat axınlarının təhlili, maşın öyrənməsi və verilənlər analitikası kimi sahələrdə də geniş tətbiq olunur.
Məqalədə Apache Spark platformasının nəzəri əsasları, arxitekturası və iş prinsipi araşdırılmışdır. Spark ekosisteminin əsas komponentləri, o cümlədən Spark SQL, Spark Streaming, MLlib və GraphX modullarının funksional imkanları təhlil edilmişdir. Həmçinin platformanın böyük verilənlərin analitikası, kibertəhlükəsizlik, dövlət informasiya sistemləri və maşın öyrənməsi sahələrində tətbiq imkanları qiymətləndirilmişdir.
Müasir müəssisələr və təşkilatlar tərəfindən böyük verilənlərin emalı üçün geniş istifadə olunan Apache Spark platforması müxtəlif mənbələrdən daxil olan məlumatların inteqrasiyasını və operativ təhlilini təmin edir. Platformanın çevik arxitekturası fərqli verilənlər formatları ilə işləməyə imkan verir və mürəkkəb analitik tapşırıqların yerinə yetirilməsini asanlaşdırır. Bu xüsusiyyətlər Spark-ın böyük verilənlər ekosistemində mühüm mövqeyə malik olmasına şərait yaradır.
Aparılan təhlillər göstərir ki, Apache Spark yüksək sürət, miqyaslana bilmə və çeviklik kimi üstünlüklərə malik olsa da, böyük yaddaş resurslarına olan tələbat və klaster idarəetməsinin mürəkkəbliyi kimi müəyyən məhdudiyyətlər də mövcuddur. Məqalədə bu problemlərin aradan qaldırılması istiqamətində müasir yanaşmalar və platformanın gələcək inkişaf perspektivləri də nəzərdən keçirilmişdir.

РАЗРАБОТКА МОДЕЛИ НЕЧЕТКОГО ВЫВОДА ДЛЯ ОЦЕНКИ РИСКОВ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ

Миркасимова Толкын Шабденбековна, Рахымгазиева Жания, Жанбырбай Абылай — Sun, 14 Jun 2026 00:00:00 +0000

В этой статье рассматривается нечеткая логическая FIS-модель, основанная на методе Мамдани для оценки рисков информационной безопасности. Целью исследования является разработка модели и оценка ее эффективности, которая позволяет более точно оценивать риски в условиях неопределенности и неполных данных. В исследовании использовались методы моделирования, фазификации, построения базы правил и экспериментальной апробации. Полученные результаты показали, что предлагаемая модель точно определяет уровень риска, эффективно учитывает неопределенность и подходит для практического применения. Научная новизна характеризуется разработкой неочевидной логической модели интегральной оценки рисков. Апробация модели в CRM, ERP и LMS подтвердила, что это эффективный инструмент для поддержки решений по управлению информационной безопасностью.

Healthcare Systems, Media, and Crisis Management: An Analysis of the U.S. Emergency Response Model

Tamar Dolaberidze, Rusudan Lortkipanidze — Mon, 15 Jun 2026 00:00:00 +0000

This article examines the interrelationship between emergency medical response systems and media communication during crisis situations, drawing on observations and professional experiences acquired through the 2025 International Visitor Leadership Program (IVLP) in the United States. The study is based on visits to healthcare institutions, emergency management agencies, and media organizations in Washington, D.C., Baltimore, Los Angeles, and Maine, providing insights into an integrated, multi-sectoral approach to crisis management.
Particular attention is devoted to the 2023 Lewiston mass shooting in Maine, which serves as a case study of effective coordination among healthcare providers, emergency response services, and communication networks. The analysis highlights the importance of pre-established emergency protocols, functional distribution of responsibilities among medical institutions, and strategic management of critical resources, particularly blood supplies, in ensuring an efficient response to mass-casualty incidents.
The study further explores the role of media as an essential component of emergency management. Beyond its traditional informational function, media serves as a mechanism for public mobilization, trust-building, and behavioral guidance during crises. The Lewiston case demonstrates how coordinated and accurate media communication facilitated the timely mobilization of blood donors, reduced public uncertainty, and supported effective resource allocation.
The findings suggest that successful emergency management depends on the integration of healthcare systems, emergency services, and media institutions within a coordinated communication framework. The U.S. experience, particularly the model observed in Maine, illustrates how strategic communication can enhance clinical effectiveness and public resilience. These findings offer valuable implications for countries such as Georgia, where the development of crisis communication strategies and emergency medical response systems remains an important policy and public health priority.