Paleoseismic studies are essential to improve earthquake hazard mitigation, a challenging task in the Tian Shan mountains characterized by numerous active faults, frequent strong earthquakes, and abundant triggered landslides. Here, we date the debated formation of Kaindy Lake, the famous landslide-dammed lake in southeastern Kazakhstan, included in the UNESCO World Network of Biosphere Reserves. Our dendrochronological study compares ring-width patterns from dead trees (Picea schrenkiana) still standing in the lake with living trees growing on surrounding slopes and other trees on the landslide debris. Our results place the formation of the lake to just after 1888 A.D. (the last ring of sunken trees) and before 1898 A.D. (the first established trees on the landslide), a period for which only the 1889 A.D. Chilik earthquake (M 8.2) has been reported and caused extensive damages in the region (surface ruptures, landslides). Thus, we propose that the landslide was triggered during this historical earthquake, questioning the previously preferred date of 1911 A.D., and the local common belief. Furthermore, our results indirectly complement previous paleoseismic studies at 8.5 km away, for which the most recent event in the region was poorly defined by geochronological dating, but suggested a surface rupture associated with the 1889 A.D. earthquake. The proximity of the landslide to the surface rupture would place it in the epicentral zone of the Chilik earthquake.

Folate receptor α (FRα) is overexpressed on numerous tumorous cell types such as ovarian or endometrial cancer cells. Moreover, FRα is absent from most healthy tissues as it is normally expressed only on the surface of proximal tubules cells of kidneys and choroid plexus. Thus, folate-based radiopharmaceuticals have emerged this last two decades as FRα is a target of choice to diagnose and treat numerous cancers. Nuclear imaging is a performing diagnostic technology using highly sensitive detectors and specific radiopharmaceuticals used to detect tumors at an earlier stage. Herein, an overview of the development of folate-based radiopharmaceuticals to detect FRα-positive tumors by nuclear imaging using positron emission tomography (PET) and single photon emission computed tomography (SPECT) is exposed. Strategies developed to improve precursor synthesis, bioavailability, clearance, and affinity to FRα will be detailed. Advances made to decrease kidney uptake open the gate to targeted radionuclide therapy (TRT) using folate-based radiopharmaceuticals to treat FRα-positive tumors. Thus, radiofolates used in TRT and more precisely in a theranostic approach will be depicted in this review.

Purpose. Increasing oil recovery from reservoirs, reducing water content, and decreasing costs by pumping formation water effectively cleaned of suspended solids allows you to get a picture of the uniform distribution of water over the reservoir and, in general, the quality maintenance of reservoir pressure in productive reservoirs. Methodology. The study on water treatment issues for maintaining reservoir pressure at existing oil fields has a variety of approaches. Therefore, the methods of analysis, review, comparison, modeling, experiment were used in the work. The analysis method made it possible to divide the problems of approaches to the formation water preparation for its injection into the reservoir into many elements, which made it possible to learn their properties, connections and relationships. This method contributes to a more detailed structuring of the problem of water treatment. The analogy method uses the study of the technology of preparation of reservoir water with suspended solids. Based on the data, an effective technology was studied for treating formation water from suspended solids and injecting it into a productive formation. Findings. The experiments carried out reflect the high-quality water preparation using the developed new industrial sand-gravel filter made of granular materials with variable particle sizes in the vertical direction, taking into account the rational parameters of the column height of the filter working area. The regularities were studied and the process of formation water preparation without suspended solid particles was improved on the basis of the theoretical and experimental studies carried out on a special laboratory unit. The dependence of the reservoir permeability in the bottomhole zone of injection wells on the size of solid suspended particles in the injected water was determined, and rational filter parameters were established for preparing injected water without suspended solid particles into the reservoir using granular materials with a variable fraction and water supply from the bottom up. Originality. An effective technology for deep purification of formation water from suspended clay particles is proposed by using filters made of granular materials with a variable particle size. The technical result of the invention is to increase the efficiency of purification of industrial waste and industrial formation waters with suspended solids. Practical value. A new method for deep formation water treatment is proposed, which ensures the capture of suspended solids. The results of experiments on establishing the regularity of the process of formation water filtration with suspended clay particles through a porous medium with variable pore sizes and granular particles are presented. A recommendation has been developed for choosing rational parameters and operating modes of a new filter for formation water treatment.

This article addresses the optimization of start-up modes for technological machines with heavy rotors, relevant across industries, including mining and metallurgy. It proposes a pneumatic starting and auxiliary device (PSAD) using bellows pneumatic cylinders and a ratchet mechanism to facilitate start-up and reduce inrush currents in such machines. Materials and methods. An experimental setup simulating a ball mill’s operation was designed. The methodology involved investigating the impact of the limit switch position, which controls the main engine, on the inrush current value. The experiment then fixed this position and altered the pneumatic system pressure in 0.1 MPa increments, from 0.1 MPa to 0.4 MPa, recording the resulting inrush current changes. Results. The study shows the impact from pulse and follow-up current to motor terminals, and the pre-work of PSAD in step-by-step mode. The result showed significant reduction in the initial current peaks due to the starting process of the main engine. The optimal limit switch position was at the beginning of the stroke of one cylinder, providing maximum force at minimal deformation. Increasing pressure led to inrush current decreases. Discussion. These results affirm pneumatic power systems and implementation in starting equipment, but there are complexities with precise adjustment and the requirement for good manufacturing and assembling qualities. These additional findings provide a more detailed evaluation of factors influencing PSAD performance. In particular, selecting the ideal diameter for supply piping is crucial. Conclusion. PSAD using bellows pneumatic cylinders and a ratchet mechanism is a promising approach for heavy rotor machines. Tests displayed efficiency in reducing inrush currents. Pre-work in step-by-step mode, combined with pressure increase, lowers starter loads on the drive. Precise adjustment is critical, otherwise, system performance and reverse drum rotation will result. Resume. This research establishes optimal PSAD parameters (limit switch placement, pneumatic pressure) for minimal inrush current. Results aid PSAD implementation in mining/metallurgy, enhancing reliability, energy efficiency, and decreasing costs. Still, deployment should consider adjusting difficulties and needs of producing and meeting components.

Glacial-lake outburst floods (GLOFs) threaten more than three million residents of south-east Kazakhstan, yet quantitative data on lake growth and storage are scarce. We inventoried 154 lakes on the northern flank of the Ile-Alatau and selected four moraine-dammed basins with the greatest historical flood activity for detailed study. Annual lake outlines (2016–2023) were extracted from 3 m PlanetScope imagery with a Normalised Difference Water Index workflow, while late-ablation echo-sounder surveys (2023–2024) yielded sub-metre bathymetric grids. A regionally calibrated area–volume power law translated each shoreline to water storage, and field volumes served as an independent accuracy check. The lakes display divergent trajectories. Rapid thermokarst development led to a 37% increase in the surface area of Lake 13bis, expanding from 0.039 km2 to 0.054 km2 over a 5-year period. In contrast, engineering-induced drawdown resulted in a 44% reduction in the area of Lake 6, from 0.019 km2 to 0.011 km2. Lakes 5 and 2, which are supplied by actively retreating glaciers, exhibited surface area increases of 4.8% and 15%, expanding from 0.077 km2 to 0.088 km2 and from 0.061 km2 to 0.070 km2, respectively. The empirical model reproduces field volumes to within ±25% for four lakes, confirming its utility for rapid hazard screening, but overestimates storage in low-relief basins and underestimates artificially drained lakes. This is the first study in Ile-Alatau to fuse daily 3 m multispectral imagery with ground-truth bathymetry, delivering an 8-year, volume-resolved record of lake evolution. The results identify Lake 5 and Lake 2 as priority targets for early-warning systems and demonstrate that sustained intervention can effectively suppress GLOF risk. Incorporating these storage trajectories into regional disaster plans will sharpen evacuation mapping, optimise resource allocation, and inform transboundary water-hazard policy under accelerating climate change.

In the mining industry, the work system relies on equipment that consumes large amounts of energy. In mining operations, diesel equipment is widely used due to its flexibility, load capacity and adaptability to various terrain conditions. However, it has high diesel consumption and high greenhouse gas emissions, mainly carbon monoxide. Using hydrogen as a fuel not only offers the opportunity to decarbonize transportation and the mining industry, but also significantly reduces local air pollution. The list of possible objects for using the proposed hydrogen technology includes: diesel power plants, high-voltage diesel distillation stations, mining excavators, drilling rigs, diesel-powered loading and hauling vehicles and others. The use of hydrogen as a fuel to drive engines of power plants and transport facilities in the mining industry requires the development of equipment to control the leakage of hydrogen from storage elements and fuel supply to the engines. The solution to the problem of monitoring hydrogen leaks from fuel tanks of mining vehicles and power equipment that ensures the operation of mining enterprises using Raman lidar is considered. It is shown that at a laser radiation wavelength of 532 nm it is possible to obtain the minimum time for measuring the hydrogen concentration in the air with a Raman lidar at a given sensing distance. It was found that lidar sensing from geostationary orbit at a laser radiation wavelength of 532 nm also provides the minimum measurement time for a given concentration of the hydrogen molecules under study.

In this article, composite binders based on industrial waste—phosphogypsum, granular phosphoric slag, and burnt barium carbonate tailings––are investigated. It was found that the optimal composition (65% slag, 20% phosphogypsum, 15% tailings) provides compressive strength up to 31.1 MPa after steaming, which corresponds to grade M300 cement. Replacing natural gypsum with phosphogypsum increases strength by 5–10%, and using waste reduces cost by 20–25% compared to traditional binders. This technology eliminates the need for high-temperature firing, reducing energy consumption by 40–50%. Neutralization of harmful impurities of phosphogypsum with oxides of MgO and CaO reduces the ecotoxicity of the material by 70–80%. It is shown that hydrothermal treatment accelerates hardening, providing 90% of brand strength in 28 days. The developed binders are promising for the production of building blocks, road surfaces, and land reclamation.

The rapid digitalisation of the medical field has heightened concerns over protecting patients’ personal information during the transmission of medical images. This study introduces a method for securely transmitting X-ray images that contain embedded patient data. The proposed steganographic approach ensures that the original image remains intact while the embedded data is securely hidden, a critical requirement in medical contexts. To guarantee reversibility, the Interpolation Near Pixels method was utilised, recognised as one of the most effective techniques within reversible data hiding (RDH) frameworks. Additionally, the method integrates a statistical property preservation technique, enhancing the scheme’s alignment with ideal steganographic characteristics. Specifically, the “forest fire” algorithm partitions the image into interconnected regions, where statistical analyses of low-order bits are performed, followed by arithmetic decoding to achieve a desired distribution. This process successfully maintains the original statistical features of the image. The effectiveness of the proposed method was validated through stegoanalysis on real-world medical images from previous studies. The results revealed high robustness, with minimal distortion of stegocontainers, as evidenced by high PSNR values ranging between 52 and 81 dB.

Due to their inherent variability, incorporating renewable energy sources into current power grids poses major challenges. This study aims to optimize renewable energy integration using Internet of Things (IoT) technology and machine learning (ML) algorithms. The study was conducted across 30 renewable energy sites in the United States over six months (April-September 2023), encompassing solar, wind, and hydroelectric installations. Three ML models (Random Forest, XGBoost, and Long Short-Term Memory networks) were developed and compared against a traditional persistence model for energy generation forecasting. The study also implemented a reinforcement learning-based grid optimization system. Results showed significant improvements in forecasting accuracy, with the LSTM model achieving a 59.1% reduction in Mean Absolute Percentage Error compared to the persistence model. Grid stability improved substantially, with a 64.2% reduction in supply-demand mismatches. Overall renewable energy utilization increased by 19.2%, with wind energy seeing the largest improvement (21.8%). The implemented system resulted in estimated monthly cost savings of $320,000. These findings demonstrate the potential of IoT-ML systems to enhance renewable energy integration, contributing to more efficient, reliable, and sustainable power grids.

This study provides a comprehensive assessment of the population structures, anatomical adaptations, and chloroplast genome organizations of three rare tree species—Fraxinus sogdiana Bunge, Celtis caucasica Willd., and Betula jarmolenkoana Golosk.—from the Northern Tien Shan region of Kazakhstan. Field surveys revealed species-specific demographic patterns, with F. sogdiana and B. jarmolenkoana populations displaying a complete age spectrum and signs of ongoing regeneration, while C. caucasica exhibited a lack of juvenile stages, indicating regeneration failure. Anatomical analysis of leaf and stem tissues highlighted adaptive features aligned with habitat conditions: F. sogdiana showed mesophytic traits suited for riparian environments, C. caucasica displayed xeromorphic structures reflecting drought tolerance, and B. jarmolenkoana demonstrated structural reinforcement adapted to high-altitude stressors. Whole chloroplast genome sequencing revealed conserved quadripartite architecture across species, with minor variations in gene content and inverted repeat boundaries suggesting lineage-specific evolution. The findings underscore the ecological sensitivity and conservation priority of these species and provide foundational data for future ecological monitoring, restoration efforts, and phylogenomic research in Central Asian montane ecosystems.