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DOI — ғылыми мақаланың бірегей электрондық идентификаторы

Шығу деректері

1

Кудайбергенова Рабига Мусапаровна, PhD, Х и ХТ 

Design and Application of Superhydrophobic Magnetic Nanomaterials for Efficient Oil–Water Separation: A Critical Review.

Superhydrophobic magnetic nanomaterials (SHMNMs) are emerging as multifunctional platforms for efficient oil–water separation due to their combination of extreme water repellency, strong oil affinity, and external magnetic responsiveness. This review presents a comprehensive analysis of recent advances in the design, synthesis, and environmental application of SHMNMs. The theoretical foundations of superhydrophobicity and the physicochemical behavior of magnetic nanoparticles are first outlined, followed by discussion of their synergistic integration. Key fabrication techniques—such as sol–gel synthesis, electrospinning, dip-coating, laser-assisted processing, and the use of biomass-derived precursors—are critically assessed in terms of their ability to tailor surface morphology, chemical functionality, and long-term durability. The review further explores the mechanisms of oil adsorption, magnetic separation, and material reusability under realistic environmental conditions. Special attention is paid to the scalability, mechanical resilience, and environmental compatibility of SHMNMs in the context of water treatment technologies. Current limitations, including reduced efficiency in harsh media, potential environmental risks, and challenges in material regeneration, are discussed. This work provides a structured overview that could support the rational development of next-generation superhydrophobic materials tailored for sustainable and high-performance separation of oil and organic pollutants from water.

Keywords: superhydrophobic materials; magnetic nanomaterials; oil–water separation; surface engineering; nanostructured sorbents; environmental remediation

https://doi.org/10.3390/molecules30153313

Molecules

Volume 30

Issue 15

7 August 2025

2

Нурлыбаева Айша Нурлыбаевна, PhD, Х и ХТ 

Solvent-Free Synthesis of P(MMA-AA) Copolymers and Their Application as Sustainable Primers for Concrete Substrates

This study reports the solvent-free synthesis, structural characterization, and performance evaluation of poly (methyl methacrylate-co-acrylic acid) [P(MMA-AA)] copolymers intended for use as sustainable concrete primers and industrial coatings. A series of copolymers with varying MMA-AA molar ratios were synthesized via bulk radical polymerization and characterized using 1H and 13C nuclear magnetic resonance (NMR) spectroscopy, thermogravimetric analysis (TGA), and differential scanning calorimetry (DSC). The resulting materials were evaluated for their physical mechanical properties, including viscosity, tensile strength, surface hardness, and wettability. The findings revealed that higher MMA content improved the thermal stability, tensile strength, and hardness of the coatings, whereas increasing the AA content enhanced crosslinking density, hydrophilicity, and chemical resistance. These results demonstrate the potential of solvent-free P(MMA-AA) copolymers as environmentally friendly, high-performance alternatives to conventional solvent-based systems in protective coating applications.

Keywords: methyl methacrylate; acrylic acid; copolymerization; solvent-free coatings; mechanical properties; thermal stability; wettability; crosslinking density

https://doi.org/10.3390/polym17223039

Polymers

Volume 17

Issue 22

17 November 2025

3

Боркулакова Жанерке 

Optimization of Warmth Retention in Nonwoven Materials Made from Coarse and Semi-Coarse Sheep Wool.

This study aims to examine the influence of parameters such as the number of layers, needle-punching frequency, and fiber content percentage on the warmth retention properties of nonwoven materials. Nonwovens were produced using a needle-punching method from coarse and semi-coarse wool fibers of the Kazakh sheep breed. The Response Surface Methodology (RSM) was used to determine the combination of sample parameters that achieved the highest warmth retention. A full factorial design was utilized to describe the relationship between the factors and the resultant thermal properties, based on which a mathematical model was developed. Additionally, the breaking strength and air permeability of the samples were measured. The experimental results indicated that the sample thickness, which increases with the number of layers, had the most significant influence. Another important factor was the frequency of needle punching, which determined the degree of entanglement of the fibers. The variation in the proportion of coarse and semi-coarse wool fibers exhibited a negligible effect. Thus, it was determined that the combination of four layers, a needle-punching frequency of 600 spm, and 60% coarse wool exhibited the highest warmth retention. This sample also demonstrated favorable mechanical strength and air permeability characteristics.

HIGHLIGHTS

Analyzed the influence of key factors on the warmth retention properties of nonwoven materials made using needle-punching technology from coarse and semi-coarse wool of Kazakh sheep breeds.

Created a mathematical model using a full-factorial design to analyze the relationship between key factors and warmth retention properties. Utilized Response Surface Methodology (RSM) to determine the combination of sample parameters that achieved the highest warmth retention.

Measured the mechanical strength and air permeability, which varied depending on the number of layers and needle-punching frequency.

Found that the number of layers is the dominant factor affecting warmth retention, breaking strength, and air permeability, while the fiber composition has a negligible impact due to the similar characteristics of coarse and semi-coarse sheep wool fibers.

KEYWORDS: Natural fiberthermal insulationgreen buildingcircular economyneedle-punched nonwovensfull factorial design

https://doi.org/10.1080/15440478.2025.2578612

Journal of Natural Fibers

Volume 22, 2025

Issue 1

4

Кабанбаев Aйбек Батырбекович

System for Generating Electric Power by the Sail Wind Power Station with Air-Inflated Swinging Sail, Energy and environment,

The energy attributes of Sail Wind Power Systems (SWPSs) remain inadequately comprehended, which obstructs their advancement and optimization. This research explored the energy characteristics of SWPSs through a Computational Fluid Dynamics model. The model underwent validation using experimental data from a small-scale SWPS. Subsequently, it was employed to analyze the impact of different design parameters on the energy characteristics of SWPSs. The findings of this research indicate that the energy characteristics of SWPSs are significantly influenced by their design parameters. The key design factors include the sail area, the shape of the sail, and the height of the mast. This research proposes a pioneering methodology for the conversion of wind energy, involving the utilisation of a dynamically controlled air-inflated swinging sail. This innovation has been proven to significantly enhance efficiency during periods of low wind conditions. In contradistinction to conventional wind turbines, this proposed system employs a novel parallel manipulator mechanism for power extraction. The research indicated that SWPSs can produce electricity more cost-effectively than conventional wind turbines and the findings offer significant insights into the energy attributes of SWPSs, which can be utilized to enhance their design and optimization. Additionally, the study suggests that SWPSs represent a promising technology for harnessing wind energy for electricity generation.

10.30919/ee1637

ES Energy and Environment

Volume 29, 2025

23 Jul 2025

5

Боранкулова Гаухар Сарсенбаева

Development of Real-Time Water Level Monitoring System for Agriculture

Water resource management is critical for sustainable agriculture, especially in regions like Kazakhstan that face significant water scarcity challenges. This paper presents the development of a real-time water-level monitoring system designed to optimize water use in agriculture. The system integrates IoT sensors and cloud technologies, and analyzes data on water levels, temperature, humidity, and other environmental parameters. The architecture comprises a data collection layer with solar-powered sensors, a network layer for data transmission, a storage and integration layer for data management, a data processing layer for analysis and forecasting, and a user interface for visualization and interaction. The system was tested at the Left Bypass Canal in Taraz, Kazakhstan, demonstrating its effectiveness in providing real-time data for informed decision-making. The results indicate that the system significantly improves water use efficiency, reduces non-productive losses, and supports sustainable agricultural practices.

Keywords: water resource management; velocity measurement; low-cost sensors; water level; internet of things

https://doi.org/10.3390/s25175564

Sensors

Volume 25

Issue 17

6 September 2025

6

Боранкулова Гаухар Сарсенбаева

Adaptive Working Set Model for Memory Management and Epidemic Control: A Unified Approach

The Working Set concept, originally introduced by P. Denning for memory management, defines a dynamic subset of system elements actively in use. Designed to reduce page faults and prevent thrashing, it has proven effective in optimizing memory performance. This study explores the interdisciplinary potential of the Working Set by applying it to two distinct domains: virtual memory systems and epidemiological modeling. We demonstrate that focusing on the active subset of a system enables optimization in both contexts—minimizing page faults and containing epidemics via dynamic isolation. The effectiveness of this approach is validated through memory access simulations and agent-based epidemic modeling. The advantages of using the Working Set as a general framework for describing the behavior of dynamic systems are discussed, along with its applicability across a wide range of scientific and engineering problems.

Keywords: working set; page fault; complex systems; epidemic spreading; computer simulations; program behavior; memory management

https://doi.org/10.3390/computation13080190

Computation 2025, 13(8), 190;

7 August 2025

7

Ахауова Гульнар Куанышбековна

«Biology, harmfulness and improvement of control measures against cabbage stem flea beetle, Psylliodes chrysocephalus Linnaeus, 1758 (Coleoptera: Chrysomelidae)»

Psylliodes chrysocephalus L., a significant pest affecting cruciferous crops, causes substantial agricultural damage due to its biological and ecological traits. This study investigates the species' life cycle, host preferences, and environmental adaptability, revealing that adults and larvae preferentially target young plants, reducing crop vigor and yield losses of up to 20% in some regions. The pest's rapid reproductive rate—capable of laying up to 1000 eggs per female—and resistance to conventional insecticides exacerbate its economic impact. Current control strategies rely heavily on synthetic pesticides but are increasingly ineffective and pose risks to non-target organisms. To address these challenges, integrated pest management (IPM) approaches were evaluated, combining biological control agents (e.g., entomopathogenic fungi) with cultural practices like crop rotation and selective insect growth regulators. Field trials demonstrated that IPM strategies reduce pest populations by up to 60% while minimizing environmental harm. Additionally, genomic insights into P. chrysocephalus detoxification mechanisms inform the development of targeted insecticides capable of overcoming existing resistances.

https://doi.org/10.22124/CJES.2025.8569

Caspian Journal of Environmental Sciences

2025, vol. 23, no. 1, pp. 165–172.

9

Мурзахметов Асланбек Нурбекович

Working Set: Adapted Model to the Epidemiological Context

The necessity of modeling the dynamics of infectious disease spread is driven by the imperative to accurately predict epidemics and assess the efficacy of control measures, such as isolation and quarantine. Conventional compartmental SIR and SEIR models have been widely used for predicting the course of epidemics, but they have limitations due to their inability to account for dynamic isolation. Research frequently recognizes the assumptions underlying these models but rarely provides justification for their validity within the specific contexts where they are applied. In this paper, we propose a novel approach based on the concept of a working set, which we utilize as a subset of agents actively involved in social contact and potential transmission. Our adapted working set model incorporates isolation states for susceptible and infected agents, enabling dynamic adjustment of the transmission rate according to the current size of the Working Set. The incorporation of a time window parameter enables the identification of current contacts and the identification of superspreaders, an important component for the optimization of epidemiological measures. Experimental results and comparative analysis showed that, compared to the SIR and SEIR models, the adapted working set model provides a more detailed and realistic tool for analyzing the spread of infection under dynamic control measures. Our model accounts for contact heterogeneity and allows a better assessment of the impact of isolation. The presented approach integrates resource management principles from computer systems with epidemiological models, providing a flexible and realistic tool for evaluating and optimizing infectious disease control measures. In addition, a practical analysis of established models reveals fundamental modeling principles that can be adapted to different scenarios.

Keywords: Working Set, compartmental models, complex systems, epidemic spreading, page replacement, page fault, computer simulations

10.3934/mbe.2025110

Mathematical Biosciences and Engineering

2025, Volume 22, Issue 12: 2988-3004.