The paper presents a vision system for calculating the number of parts on a conveyor belt. The system is designed to solve the problems of quality control and product counting in industrial production conditions. The system consists of hardware and software. The hardware includes a high-resolution camera that captures detailed images of objects, a lighting system for evenly illuminating objects for accurate segmentation and recognition, and a computer with sufficient computing power to process images in real time. The software includes machine learning algorithms implemented on the basis of modern libraries and frameworks, an image preprocessing module that includes noise reduction, contrast and normalization methods, an object segmentation module that highlights individual objects in an image, an object recognition module that classifies selected objects by type, an object counting module that determines the number of objects of each type. As a result, the system was tested on a set of images with details. The accuracy of the calculation was 98%. This system can be used in various industries to automatically count parts on conveyor belts.

The problem of processing stale tailings is a global one, and the main task is the extraction of economically valu-able metals. In Kazakhstan, the market for the extraction of nickel and cobalt from stale tailings is practically undeveloped. In addition, the need for nickel and cobalt increases annually due to the high demand for nickel-cobalt batteries for the manufac-ture of electric vehicles, special alloys and others. Pyrite concentrate containing nickel-cobalt from Sokolovsko-Sarbaisky mining and processing plant is a valuable source of extraction of a number of valuable non-ferrous metals such as iron, nickel, cobalt, etc. The purpose of the study is to study the optimal conditions for the extraction of nickel and cobalt from thermally decomposed pyrite concentrate of the Sokolovsko-Sarbaisky mining and processing plant using sulfuric acid solutions. Ther-modynamic analysis of oxidation reactions of the main components of pyrite concentrate showed that thermal decomposition of higher sulfides of iron, nickel and cobalt produced a series of non-stoichiometric lower sulfides Fe0.877S, FeS, Fe2S3, Fe7S8; Ni3S2, Ni3S4 and CoS0.89, CoS, respectively. The Pourbaix diagrams of Ni-S-H2O, Co-S-H2O and Fe-S-H2O systems show that sulfuric acid leaching of cobalt and nickel from thermally decomposed pyrite concentrate is possible at pH 0 - 1.5 and E > - 0.5 V. Leaching of non-stoichiometric FeS-Fe7S8 low iron sulfides is possible at pH 0 - 4.0 and E > 0 V. Studies to determine the optimum conditions of leaching of thermally treated pyrite concentrates found that for the extraction of nickel and cobalt effec-tive concentration of sulfuric acid is 100 g/dm3, the leaching time is 120 minutes and temperature of 100°C and the maximum recovery of metals is 86.71% and 93.01%, respectively. Increasing the acid concentration, duration and temperature leads to complete dissolution of iron. A combined method for processing stale pyrite tailings can be used to process similar raw materi-als.

Additive manufacturing technologies for metals are developing rapidly. Among them, wire arc additive manufacturing (WAAM) has become widespread due to its accessibility. However, parts produced using WAAM require surface post-processing; therefore, hybrid technologies have emerged that combine additive and subtractive processes within a single compact manufacturing complex. Such systems make it possible to organize single-piece and small-batch production, including for the repair and restoration of equipment in remote areas. For this purpose, hybrid equipment must be lightweight, compact for transportation, provide sufficient workspace, and be capable of folding for transport. This paper proposes the concept of a multifunctional metal 3D printer based on hybrid technology, where WAAM is used for printing, and mechanical post-processing is applied to obtain finished parts. To ensure both rigidity and low mass, a 3-UPU parallel manipulator and a worktable with two rotational degrees of freedom are employed, enabling five-axis printing and machining. The printer housing is foldable for convenient transportation. The kinematics of the proposed 3D printer are investigated as an integrated system. Forward and inverse kinematics problems are solved, the velocities and accelerations of the moving platform center are calculated, singular configurations are analyzed, and the workspace of the printer is determined.

The study investigates the concentration of chemical elements in biological tissues (placenta and blood) of women from the Akmola region, Kazakhstan to assess the impact of environmental pollution on maternal and newborn health. The research conducted from 2018 to 2021 involved 67 placental and umbilical cord blood samples collected from women in four Akmola districts. The study utilized instrumental neutron activation analysis and electronic microscopy to determine the concentration of 28 chemical elements. Statistical methods were applied to analyze the distribution, including the mean values, standard deviations, and frequency distribution curves. Significant variability in chemical element concentrations was observed across samples, with notable differences in rare earth elements and heavy metals. Elements such as sodium (Na), calcium (Ca), and chromium (Cr) displayed high variation. The study identified a strong environmental influence on the accumulation of toxic elements in the placenta and blood. The accumulation of chemical elements in biological tissues was heterogeneous, influenced by natural and anthropogenic factors. Blood was found to be more sensitive to environmental contamination compared to the placenta, indicating the need for enhanced environmental health monitoring in the region.

В данной статье представлен инновационный подход к переработке медной руды одного из месторождений Казахстана, направленный на повышение эффективности извлечения меди из материалов с сложным минеральным составом. Описанная методология включает несколько ключевых этапов: всесторонний анализ вещественного состава руды, гравитационное и флотационное обогащение, а также гидрометаллургические процессы. В ходе исследования руды прошли предварительную подготовку, включая дробление и измельчение до необходимой тонкости. Эксперименты по гравитационному и флотационному обогащению показали, что оптимизация параметров этих процессов значительно увеличивает выход медного концентрата. Дополнительно, сернокислотное выщелачивание показало высокую эффективность в извлечении меди из измельченной руды. Результаты исследования подтверждают, что комплексный подход к переработке медной руды обеспечивает высокую эффективность извлечения ценных компонентов и открывает перспективы для устойчивого и экономически выгодного использования сложных медных руд

Computer vision–based weed detection plays a critical role in agricultural robotics, enabling accurate, selective weeding. These systems operate on resource-constrained embedded platforms, which introduces a significant trade-off between accuracy and efficiency. This study presents a comparative evaluation of six detection models (YOLOv11n, YOLOv11s, SSDLite, NanoDet, Faster R-CNN, RT-DETR) for agro-robotic applications, measuring precision, recall, mAP@0.5, and runtime on low-power hard-ware. NanoDet achieved the highest detection accuracy (precision 98.6%, recall 94.2%, mAP@0.5 97.7%). YOLOv11s demonstrated similar performance (mAP@0.5: 96.1%) but required more computation. YOLOv11n provides the most favourable balance between accuracy and throughput (mAP@0.5: 94.6%, 207 FPS on a workstation). On Raspberry Pi 5, light models achieved 3–5 FPS. RT-DETR and Faster R-CNN exhibited high latency (3112–6500 ms/frame), which prevents real-time operation. NanoDet excelled in detection, while YOLOv11n provides the best balance between accuracy and efficiency for limited devices.

В статье рассматриваются современные методы и оборудование, применяемые для повышения эффективности процессов обогащения на горнодобывающих предприятиях. Особое внимание уделено внедрению технологий, которые способствуют улучшению производственных показателей, в частности, процесса флотации. Работа посвящена анализу факторов и условий проведения опытно-промышленных испытаний на флотомашине Jameson Cell L500 на металлургическом заводе. Основной задачей тестирования пилотной установки является повышение извлечения золота в концентрат при сохранении качества готового продукта на различных этапах флотационного цикла завода. Также рассматриваются перспективы дальнейших исследований в этой области, которые могут привести к оптимизации процессов и улучшению результатов обогащения.

The paper presents the results of developing a method for producing nanopowder (Fe-Co) in the form of a solid solution by precipitation from vanadium-containing raw materials of the hydrometallurgical plant Balausa Firm LLP. Solutions obtained by leaching black shale ores with an iron content of up to 4-6% to obtain iron-containing powders were studied. X-ray phase analysis has established that the initial iron content of 2 to 6% is sufficient for applying the scheme for extracting iron sulfate and obtaining powders based on it from solutions obtained by leaching black shale ores. By the results of electron microscopy analysis, was established that the size of crystallites in the resulting powders (Fe-Co) is 30-50 nm and that of their agglomerates is 100-200 nm.

Бұл жұмыста Жамбыл облысындағы Ақтөбе кен орнындағы қиын байытылатын алтын құрамды рудалар кешенді зерттелді. Кеннің химиялық және минералдық құрамы, алтын мен күмістің таралу формалары, гранулометриялық және физика-механикалық қасиеттері анықталды. Орташа алтын мөлшері 1,55–1,6 г/т, күміс 42–43 г/т деңгейінде. Негізгі минерал кварц (79%-ға дейін), пирит (10%-ға дейін), дала шпаты, кальцит және слюда. Фазалық талдау бос алтын үлесін 46,47 % көрсетті, қалған бөлігі сульфидтермен (37,61%) немесе жыныста майда түйіршікті (15,92%) түрінде. GRG-тест нәтижесінде центрифугалық әдіспен алтынның 35,93%-ға дейін бөлінетіні анықталды. «Ұнтақтау-центрифугалық концентрация» сұлбасы алтынның 28,74%-ын гравиконцентратқа жинақтады. Нәтижелер гравитация, флотация және циандауды біріктіретін технологиялардың негізділігін дәлелдейді.

The paper presents a method for the extraction of copper from sulfuric acid solutions, which reduces the consumption of sulfuric acid, increases the extraction of copper and the quality of cathode copper, and reduces the undesirable formation of the third-phase crud. The main results of copper extraction, including 2-3 stepwise extraction of copper, are presented. The extraction is carried out by mixing sulfuric acid solutions with a solution of a chelating, selective extractant of the aldoxime group (10 vol.%) and separating the mixture by settling to obtain a copper-containing extract and extraction raffinate, with the suppression of the third phase-crud due to the dissolution of polymerized silicon bonds in the cruds with a monomeric polymer (H2C═CHC6H4SO3Na)n poly(4-sodium styrene sulfonate). This is achieved by adding 5 cm³ of the polymer, influenced by the surfactant complex of sodium alkyl sulfonate, with an O/A ratio of 1:2 and a temperature of 20±5°C. Subsequent re-extraction of copper from the extract is carried out by mixing the extract with a sulfuric acid solution and separating the mixture by settling to obtain a copper-containing re-extraction and an extractant solution. The re-extract is purified from impurities, and copper is extracted electrically from the purified re-extract to obtain cathode copper and waste electrolyte. A method for calculating the technical and economic choice of an extraction apparatus has also been developed.