Kazakh-British Technical University

Metal Extraction and Solid-Phase Evolution During Ammoniacal Leaching of Spent LiCoO2 Cathodes

Ammonia leaching constitutes a selective route for the recovery of metals from used lithium-ion batteries, but the relationship between the extraction of metals and the evolution of residues remains insufficiently understood. This study focused on the leaching of used and pretrea...

Plasma-Assisted and Green Routes to Silicon and Carbon Quantum Dots: A Critical Comparison of Synthesis–Structure–Property Relationships

Silicon quantum dots (SiQDs) and carbon quantum dots (CQDs) are often discussed as related heavy-metal-free luminescent nanomaterials, although the mechanisms governing their formation and emission differ fundamentally. Rather than combining two parallel bodies of literature, thi...

Amphiphilic MoS2 Nanosheet-Enhanced Salt-Tolerant Alkyl Polyether Sulfonate Surfactant Flooding System for Interfacial Regulation and Enhanced Oil Recovery Performance

Abstract The complex ionic environment in high-salinity reservoirs can weaken surfactant adsorption at oil–water interfaces and compromise interfacial film stability, limiting the effectiveness of chemical flooding systems for residual-oil mobilization. To improve the oil-displac...

Energy and spatial spillovers: How renewable and non-renewable energy impact the environment?

Atmospheric emissions in one location can significantly affect adjacent regions, creating spatial dependencies. If ignored, it may biased empirical estimates of environmental degradation. This study employs spatial econometric techniques to measure the indirect (spillover) effect...

Machine Learning for Predicting Protective Behavioral Intention Following Serious-Game-Based Flood Risk Education

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...

Monte Carlo-driven reinforcement learning for smart manufacturing systems

Developing a smart control system capable of accounting for the dynamics of industrial equipment state changes and promptly detecting features of developing failures is currently a pressing issue. The goal of this study is to develop an intelligent technology for industrial equip...

How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies

Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data fro...

Social capital and collaborative governance in rural areas of Kazakhstan

Kazakhstan has introduced direct elections and independent budgets at the rural level, increasing local autonomy in governance. Local community meetings provide an avenue for rural residents to engage directly with state officials. Such a conducive environment for collaboration b...