The convergence of adsorption and photocatalysis in hybrid composites offers a sustainable and energy-efficient strategy for the removal of persistent organic pollutants from water systems. This review presents a comprehensive analysis of recent advances in adsorption–photocatalysis hybrid materials, focusing on the synergistic mechanisms that enhance pollutant capture, photodegradation, and material regeneration. We classify and evaluate three major categories of composites: carbon-based, metal oxide, and polymeric materials, highlighting their physicochemical characteristics, surface morphologies, and functional architectures. Special attention is given to Z-scheme and type II heterojunctions, plasmonic enhancements, and nanoscale engineering that improve solar light harvesting and charge carrier dynamics. The influence of key environmental parameters such as pH, light intensity, and contaminant load is discussed, along with strategies for material optimization and recyclability. Unlike conventional reviews, this work offers a design-focused and environmentally integrated perspective, emphasizing scalable, low-waste, and sunlight-driven solutions for water purification. The insights provided here aim to guide future research on hybrid systems that contribute to the circular economy and renewable energy-based remediation technologies. © The Author(s) 2025.

One of the promising intermetallic compounds for use in nuclear and fusion reactors, as well as in hydrogen energy technology, are intermetallic compounds of beryllium with metals such as Ti, V, Zr and Nb. Beryllium-based intermetallics are not only a promising material for blankets of future fusion reactors, but can also be utilized in other areas of the nuclear industry, including fission reactor reflectors, rocket and space technology. The interest in studies of the interaction of hydrogen isotopes with beryllides is related to the accumulation of tritium and helium in the material, formed as a result of nuclear reactions under neutron irradiation, and is caused by the need for understanding the processes arising from such interaction. In this work, hydrogen sorption and desorption processes of zirconium beryllide ZrBe2 produced by industrial technologies at JSC “Ulba Metallurgical Plant” (JSC UMP) were investigated. The experiments were performed by the Sievert's and thermal desorption spectrometry (TDS) methods. In TDS experiments deuterium was chosen for samples saturation to reduce the possible error in determining fluxes associated with the release of hydrogen from the elements of the vacuum chamber. An equation for hydrogen solubility in zirconium beryllide ZrBe2 was obtained by processing the experimental data obtained by the Sievert's method: [Formula presented] The temperature intervals of formation and decomposition of two different hydride phases (deuterides) of zirconium beryllide ZrBe2 at ∼ 600 K and ∼ 900 K have been established in TDS experiments. © 2024 The Authors

Ensuring the best quality and performance of modern speech technologies, today, is possible based on the widespread use of machine learning methods. The idea of this project is to study and implement an end-to-end system of automatic speech recognition using machine learning methods, as well as to develop new mathematical models and algorithms for solving the problem of automatic speech recognition for agglutinative (Turkic) languages. Many research papers have shown that deep learning methods make it easier to train automatic speech recognition systems that use an end to end approach. This method can also train an automatic speech recognition system directly, that is, without manual work with raw signals. Despite the good recognition quality, this model has some drawbacks. These disadvantages are based on the need for a large amount of data for training. This is a serious problem for low-data languages, especially Turkic languages such as Kazakh and Azerbaijani. To solve this problem, various methods are needed to apply. Some methods are used for end-to-end speech recognition of languages belonging to the group of languages of the same family (agglutinative languages). Method for low-resource languages is transfer learning, and for large resources – multi-task learning. To increase efficiency and quickly solve the problem associated with a limited resource, transfer learning was used for the end-to-end model. The transfer learning method helped to fit a model trained on the Kazakh dataset to the Azerbaijani dataset. Thereby, two language corpora were trained simultaneously. Conducted experiments with two corpora show that transfer learning can reduce the symbol error rate, phoneme error rate (PER), by 14.23 % compared to baseline models (DNN+HMM, WaveNet, and CNC+LM). Therefore, the realized model with the transfer method can be used to recognize other lowresource languages © 2022, Authors. This is an open access article under the Creative Commons CC BY license

The nanotubular structure of titanium dioxide (TiO2) is most suitable for creating high-performance energy storage and conversion devices. This paper reports on the synthesis of an array of nanotubes (NTs) from TiO2 by electrochemical anodization of titanium sheets using electrolytes based on fluorine and glycerol. The results of SEM and X-ray spectral analysis of the obtained material revealed the anatase phase of TiO2 nanotubes with an inner diameter of 96–150 nm and a length of 0.6 ± 0.1 μm. The electrochemical behavior of the resulting electrode was studied in a solution of Mg(TFSI)2 based on ethylene carbonate/dimethyl carbonate (1/1). From the cyclic voltammograms, the diffusion coefficient and rate constant were determined to be 1.51·10−10 cm2·s−1, k = 1.55·10−10 cm·s−1 (reduction), respectively. The value of the Coulomb efficiency at low discharge current is higher (88%) than at high discharge current (56%). At a high discharge current (1C), it is noticeable that the charge capacity in the cathodic process is much higher than in the anodic process. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

The problem of the growing shortage of water resources in the world, including in the territory of South-East Kazakhstan, due to global warming and aggravated by long distances to natural sources of good quality water, requires the combined use of surface water and groundwater from local aquifers to supply the local population with high-quality drinking water. The application of methods of artificial groundwater spreading can be an effective way only if positive characteristics of soil and soil parameters of the aeration zone and productive aquifers are obtained in the processes of infiltration and colmatation, which are one of the decisive indicators for ensuring productivity and duration of operation of infiltration basins in the given mode. This work presents the main results of complex field studies of the processes of infiltration and colmatation in infiltration mini-basins at pilot sites within the Aksu, Lepsy and Koksu river valleys, taken as typical for the territory of South-Eastern Kazakhstan, which most needs to increase the water supply of rural population settlements and remote pastures. These studies were supplemented by a detailed assessment of the water-physical, hydrodynamic and filtration properties of the overburden and the upper layers of the aquifer. The new data showed that the infiltration rate varied from 15 m/day at the beginning to 0.75 m/day at the end and remained practically unchanged by the end of the experiment. This was largely facilitated by the values of the heterogeneity coefficient of the granulometric composition of all the examined soils obtained during the studies, which did not exceed 3.0 due to the uniform distribution of coarse fractions and a small proportion of loams and sandy loams. Approximately one month after the start of the tests, a colmatation layer began to be generated at the bottom of the mini-ponds, the thickness of which by the end of the test reached from 3 mm for clay silt to 6 mm for silty clay. However, as studies have shown, the generation of a colmatation layer due to the settling of suspended particles of surface water did not significantly impact on the infiltration processes, as evidenced by the rated values of specific flow rates, which in the final period of time ranged from 0.86 to 0.75-0.80 m3/day per square meter of reduced infiltration surface. Thus, the generated positive results of field studies can serve as a factual basis for design, and can also be recommended and accepted as design indicators both at the stage of a feasibility study and at the stage of detailed design of artificial groundwater spreading systems without additional labor-intensive and costly survey works, and the approved methodology for their implementation will be useful when conducting similar studies in other regions. © 2023, Zibeline International Publishing Sdn. Bhd.. All rights reserved.

In this work, an amorphous silica powders (1-SiO2 and 2-SiO2) and activated carbon with few-layer graphene were derived from rice husk using simple and efficient process. Synthesized samples were characterized by means of TGA SEM, XRD, XRF, nitrogen low-temperature adsorption/desorption, Raman, and EDAX. Rice husk calcination yields in 18 and 14 wt% of 1-SiO2 and 2-SiO2, correspondingly. Carbonization of rice husk followed by activation yielded about 11 wt% of activated carbon with large specific surface area (SBET = 3292 m2 g−1). Feasibility of resulting materials as anode materials for Li-ion batteries grounded on a high theoretical capacity of silica and high charge/discharge stability of activated carbon. We present here a 2-SiO2 material with large specific surface area of 980 m2 g−1, of high purity above 99 %, and large pore volume (1.20 cm3 g−1), which results in a reversible capacity of about 841 and 442 mAh g−1 (1st and 50th cycle) with coulombic efficiency higher than 95 %. Activated carbon demonstrated the highest initial discharge specific capacity and stable reversible capacity after 50 cycles as 1462 and 477 mAh g−1 (1st and 50th cycle), and coulombic efficiency higher than 90 %. © 2023

This article presents the results of research intended to obtain a complex alumina-iron reagent based on natural diatomite and industrial products of alumina production for wastewater purification from hydrogen sulfide. The material composition of the obtained samples using X-ray diffraction analysis was determined. The results of interaction research in the NaFeO2 – H2S – H2O system at 25°С are given. The results of research on wastewater purification from hydrogen sulfide in Almaty city with the use of ferric sulfate, ferric chloride, sodium ferrite and a complex reagent containing iron at the content of 5.1 mg/l H2S in the initial sample of wastewater were presented © 2022. Journal of Ecological Engineering.All Rights Reserved.

The existing experience of noise and vibration specialists has shown that the problem of noise reduction is very relevant, especially for the mining industry. Traditional methods of dealing with industrial noise are not effective enough. In solving this issue, it is advisable to reduce the noise level at the source of its occurrence through the use of metal alloys with enhanced dissipative properties. The article presents the results of experimental studies of developing steels with increased damping properties for manufacturing perforator parts: bit bodies and drill rods. In this article, the sound pressure level of alloys dependence on the type of heat treatment has been studied, and the optimal content of alloying elements has been established to ensure the development of the ferrite-pearlite structure. This structure is characterized by an increased dislocation density and is the reason for reducing the noise of the drill rod and the body of the perforator bit by 10–12 dB A. In addition, the article establishes the pattern of noise intensity at different frequency intervals for standard and developed alloys. © 2023 The Authors

Currently, there is an urgent need for non-invasive monitoring of farm animals’ health status, enabling swift responses to adverse situations such as morbidity, feeding disorders, and aggression. Globally, technologies for video monitoring of animals are being developed, which include image processing using intelligent methods, especially artificial neural networks. This paper presents the results of developing and investigating methods and models for detecting (individually identifying) farm animals, with a focus on pigs as a case study. These animals are located in dense, dynamic groups within agricultural complexes where traditional identification methods are less effective. To overcome this challenge, advanced neural network architectures, specifically Faster R-CNN and YOLOv5, were selected, finely tuned, and trained. The application of the YOLOv5 network achieved a detection accuracy with a mean Average Precision (mAP) of 94.05%, surpassing the accuracy demonstrated in comparable studies. These results provide a foundation for a hardware-software complex designed for non-invasive, automated monitoring of animal conditions, integrating intelligent data analysis. This system offers crucial support for science-based decision-making in the fields of animal husbandry and food security management. © (2024) NSP Natural Sciences Publishing Cor.

The development of polyurethane materials and process optimization are currently the subjects of extensive study. Polyurethane is characterized by high physicochemical and operational properties. Polyurethanes have high wear resistance, and oil and gasoline resistance. They have excellent thermophysical and elastic properties. This allows the use of polyurethanes in many industries where materials with high-performance properties are required. Polyurethanes are widely used in many industrial applications, protective coating manufacturing, and anti-corrosion agent applications. A significant number of studies have been conducted to improve the physical, mechanical, and operational properties of polyurethane polymers, in particular the anti-corrosion properties of modified polyurethane coatings. The properties of polyurethane polymers for various applications can be improved by changing monomers and their ratios and the process of preparations. Preparation of polyurethane polymers based on polyols and isocyanate monomers using a polyaddition process in the presence of a catalyst as well as solvents including toluene, xylene, and acetone. There are different factors affecting the physical and mechanical properties of polyurethane polymers were investigated by different techniques. The factors were types of isocyanates, polyols, OCN/OH ratios, solvents, catalysts, and temperatures. Generally, the polyols are responsible for the flexibility of the polyurethane polymers and isocyanates are responsible for the rigidity of the polyurethane polymer and crosslinking between the backbone of the polymer. Because of the flexibility of its chemistry, they may modify the coating's characteristics based on the intended use. The effects of different polyols and polyisocyanates' chemistry are assessed. The hydrophobicity, thermal stability, and mechanical and anti-corrosion properties of polyurethane polymers were investigated. As a result, the properties of polyurethane polymers such as hydrophobicity, thermal stability, and mechanical and anti-corrosion properties were all enhanced when all the above factors. An outline of the most modern, financially successful methods for creating protective polyurethane coatings and using them as anti-corrosion agents is given in this review article. © 2024, Institute of Metallurgy and Ore Beneficiation JSC. All rights reserved.