Institution
Satbayev University
Recent research
- Society & EconomicsOpen access
Traditional consumer credit scoring models frequently fail to identify rising default risks in transition economies because they rely almost exclusively on formal macroeconomic indicators and unchanging demographic data. This paper offers a preliminary empirical assessment of dig...
- Engineering & TechnologyOpen access
The study is aimed at selecting low-cost semiconductor laser emitters for fiber-optic sensors of systems that monitor the technical condition of mine workings, open pits and monolithic building structures. One specimen of each of the three commercial red laser emitters used in vi...
- AI & ComputingOpen access
Remote sensing can support mineral exploration in geologically complex terrains, but distinguishing mineralisation-associated spectral responses from lithological and surficial variability remains challenging. This study presents and evaluates an integrated workflow for delineati...
- Society & EconomicsOpen access
Global university rankings differ in methodology, yet their published positions are frequently compared across systems and monitored over time. This study examines two dimensions of ranking stability: cross-sectional consistency across ranking systems and temporal persistence wit...
- BiologyOpen access
Agricultural planning at the district level requires a transparent comparison of investments, production, financial returns, and resource availability. This study evaluates the relative production and economic performance of 13 districts in the North Kazakhstan Region based on se...
- Engineering & TechnologyOpen access
Commercially pure titanium is widely used for load-bearing implants but its low surface hardness and high friction coefficient limit durability. In this work, calcium- and silicon-bearing coatings were deposited on CP-Ti (VT1-0/ASTM Grade 2) by micro-arc oxidation (MAO) in an aqu...
- AI & ComputingOpen access
Adopters as a Scarce Resource: A Chemostat-like Approach to Single-Technology Diffusion
This paper models innovation diffusion trajectories within capacity-limited market niches. To overcome the structural limitations of classical phenomenological frameworks (Bass, Gompertz, and Mansfield models)—namely, rigidly fixed trajectory asymmetry and the lack of underlying...
- Engineering & TechnologyOpen access
Niobium can concentrate in TiCl4 wet scrubber slurry during molten-salt chlorination of ilmenite-derived titanium slag. This study presents an engineering assessment using published Nb-routing data, characterization of an isolated slurry solid, HSC Chemistry 6 balances, process d...
- Engineering & TechnologyOpen access
This paper examines ways to improve the efficiency of the scraper’s operating process by refining the cutting system and bucket-filling technology. The objective of the study is to justify design and technological solutions that reduce digging resistance, ensure more uniform buck...
- Engineering & TechnologyOpen access
Reliable wireless connectivity in underground public transportation can vary with train position because rolling stock modifies propagation paths and local interference conditions. This study proposes a transport-state-aware radio-planning framework for a three-node distributed a...
- Climate & EnvironmentOpen access
Climate change is increasing the frequency of hydrological extremes such as floods, requiring more effective approaches to build community preparedness alongside traditional flood risk management. This study develops and evaluates a serious-game-based flood risk education interve...
- Engineering & TechnologyOpen access
Abstract Rapid lithology identification on open-pit bench faces is typically performed manually by geologists, yet it is subjective, inconsistent under variable field conditions, and cannot be scaled to the large image volumes required by conventional supervised deep learning. We...
- Engineering & TechnologyOpen access
Spiking Neural Networks (SNNs) offer order-of-magnitude energy efficiency improvements over dense Transformers through event-driven, sparse computation. However, recurrent SNNs suffer from a fundamental physical limitation: the fading memory horizon. Due to passive membrane dissi...
- Engineering & TechnologyOpen access
Spiking Neural Networks (SNNs) offer order-of-magnitude energy efficiency improvements over dense Transformers through event-driven, sparse computation. However, recurrent SNNs suffer from a fundamental physical limitation: the fading memory horizon. Due to passive membrane dissi...
- Engineering & TechnologyOpen access
This paper presents the results of lithium extraction from a lithium-containing precipitate obtained by the sulfation roasting of rare-metal production tailings, leaching of the sulfate roast product, and subsequent precipitation. Unlike the conventional sulfuric acid process, in...
- Engineering & TechnologyOpen access
Analysis and Prospects of Cyanide-Free Methods for In Situ Borehole Leaching of Precious Metals
The declining quality of primary mineral resources necessitates the development of new approaches to the recovery of precious metals. One promising approach is in situ borehole leaching (ISL), which has been successfully applied to the recovery of uranium and copper. However, the...
- Engineering & TechnologyOpen access
Analysis and Design of a Double-Chamber Centrifugal-Gyratory Mill for Fine and Ultrafine Comminution
This study presents the analysis, design, and experimental–numerical evaluation of a double-chamber centrifugal-gyratory mill developed for the fine and ultrafine grinding of mineral raw materials. The operating principle is based on plane-parallel circular motion of two cylindri...
- Engineering & TechnologyOpen access
Developing efficient technologies for vanadium recovery from refractory raw materials requires an understanding of the thermodynamic and electrochemical behavior of vanadium during acid leaching. This study investigates hydrogen peroxide-assisted sulfuric acid leaching of roasted...
- Engineering & TechnologyOpen access
Tin-based halide perovskites have emerged as one of the most promising classes of lead-free materials for next-generation photovoltaic technologies. Their favorable optoelectronic properties, narrow band gaps, and structural compatibility with the ABX3 perovskite framework positi...
- Materials & EnergyOpen access
Thermosetting polymers offer excellent thermal stability, chemical resistance, and mechanical integrity, but their permanent covalent crosslinks limit recyclability and reprocessability. In this work, ESO-based vitrimer-like polyester networks were synthesized from epoxidized soy...