Gaukhar Kamalova

Gaukhar Kamalova


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 September 2022 in European Journal of Contemporary Education
Verified
Journal Article
Open access
АMАigul Medeshova
Аigul Medeshova
AKAkmaral Kassymova
Akmaral Kassymova
ZMZhazira Mutalova
Zhazira Mutalova
GKGaukhar Kamalova
Gaukhar Kamalova

26 October 2018 in Journal of King Saud University – Science
Verified
Journal Article
Open access
PDF file
GKGaukhar Kamalova
Gaukhar Kamalova
KTKubaidolla K. Tulegenov
Kubaidolla K. Tulegenov
KRKarshyga B. Rakhmetova
Karshyga B. Rakhmetova
KRKenzhetai M. Ramazanova
Kenzhetai M. Ramazanova
Study of high temperature flows is a rather complicated process. So, the objective of the paper is concluded in spatial modelling of gas-air mixture combustion at lateral injection of gas mixture into the canal from the rectangular hole. The authors suggested numerical model of spatial combustion of turbulent flows in a canal with a complicated configuration. In order to model a multi-component flow the authors used Reynolds averaged Navier-Stokes equations, enclosed with k-ε turbulence model. The velocities of chemical reactions are rather high, which allows describing these processes with source terms in the equations of the mass and energy balance. The numerical model is based on the control volume approach. The regularities of the flows were investigated in their dependence on the jet operating conditions. The results were compared with the calculations of the other authors. The behaviors of the velocities, temperature and concentration of gas components are set for the combustion and non-combustion conditions. The structures of the combustion zone are defined and investigated in the spatial canal with partially opened boundary, as well as influence of the operating conditions on the ignition behavior.

25 September 2023 in Ġylym ža̋ne bìlìm
Verified
Journal Article
Open access
PDF file
АГАйнура Гумарова
Айнура Гумарова
JRJan Rabcan
Jan Rabcan
VAVakhitova A
Vakhitova A
GKGaukhar Kamalova
Gaukhar Kamalova
В настоящее время технологии веб-программирования продолжает развиваться быстрыми темпами и важно знать о самых популярных и эффективных фреймворках, которые доступны сегодня. Фреймворки стали неотъемлемой частью процесса веб-разработки из-за растущих стандартов веб-приложений и сложности используемых технологий. При выборе правильного фреймворка есть много факторов, которые нужно учесть: требования к проекту, опыт команды и постоянно меняющиеся тенденции в индустрии. Фреймворк, как правило, содержит только базовые программные модули, а все специфичные для проекта компоненты уже реализуются на их основе разработчиком. Тем самым достигается не только высокая скорость разработки, но и большая производительность и надёжность решений. Если сравнивать фреймворки с другими классами платформ - SaaS, CMS или CMF - то фреймворки значительно эффективнее использовать в проектах со сложной бизнес‑логикой и с высокими требованиями к скорости работы, надёжности и безопасности. В статье рассматриваются типы популярных фреймворков, технологий (MVC) и инструментов, предназначенных для разработки веб-приложений с учетом современных стандартов. Приведены характеристики архитектур и тип фреймворков. Рассматриваются популярные серверные и клиентские фреймворки и языки программирования, с которыми они работают. Отмечены преимущества и недостатки каждого из рассмотренных инструментов.

22 February 2024
Verified
Book Chapter
Closed access
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АКАйгуль Кубегенова
Айгуль Кубегенова
ZAZhanargul Abuova
Zhanargul Abuova
AGAinura Gumarova
Ainura Gumarova
GKGaukhar Kamalova
Gaukhar Kamalova


29 July 2026 in Bulletin of Shakarim University. Technical Sciences
Verified
Journal Article
Open access
PDF file
AKA. Kulmagambetov
A. Kulmagambetov
YYYerbol Yerbayev
Yerbol Yerbayev
GKGaukhar Kamalova
Gaukhar Kamalova
ATA. Tynykulova
A. Tynykulova
SKS. Kashkinbaev
S. Kashkinbaev
This study focuses on the development of a forecasting model for the distribution of school graduates across educational pathways based on demographic and socio-economic factors in the Republic of Kazakhstan. The relevance of the research is driven by the need for a scientific understanding of how graduates are allocated among different forms of further education under conditions of demographic change and transformation of the education system. The study is based on official statistical data for the period 1992– 2025, including indicators of birth rates, living standards, and the distribution of graduates across educational pathways (higher education, vocational education, studying abroad, and alternative forms of activity). To identify relationships between demographic and socio-economic variables and the choice of educational pathway, correlation analysis and analysis of variance (ANOVA) were applied. The results reveal statistically significant relationships between birth rates, population income levels, and the distribution of graduates across different educational directions. It is established that demographic fluctuations determine the volume of graduates, while socio-economic factors shape the structure of their educational choices. The proposed forecasting model enables the assessment of future demand for the education system and supports the development of evidence-based policy decisions in the field of education.