Against the backdrop of energy conservation, emission reduction and green low-carbon development, traditional syngas production processes are plagued by high energy consumption and excessive greenhouse gas emissions. In contrast, the photocatalytic CO2reduction technology, driven by solar energy, enables the conversion of CO2into syngas. It combines the values of environmental protection and resource recycling, thus becoming a current research hotspot. In the design of high-efficiency single-atom catalysts (SACs) for photocatalytic CO2reduction, the microenvironment design of single-atom metal sites is of crucial importance. Based on this, in this work, a series of Co-coordinated COF catalysts named Triazine-COF-Co-Cl were synthesized to regulate the Co-coordination microenvironment for enhancing syngas production via photocatalytic CO2reduction. Among them, the Triazine-COF-Co-AA catalyst with the best performance achieved a syngas production rate of 381.7 mmol g−1h−1, and the H2/CO molar ratio could be continuously adjusted in the range of 1-3, which is sufficient to cover the commonly used syngas ratio range in industry. This paper improves the performance of COF-based photocatalysts for syngas production via CO2reduction through the regulation of Co-coordination environment, and provides ideas and certain data support for the research on solving energy and environmental problems and reducing CO2emissions.

In typical mountainous coal mines in Yunnan, Guizhou and Sichuan provinces, the complex "air-ground-ground" collaborative monitoring data has established a classification method that includes indicators such as static geological background, dynamic deformation and hydrogeochemical data. Subsequently, the research revealed the evolution mechanism of the combined disaster chain of surface deformation and sudden water outburst in old mines, and established a three-level early warning indicator system of background, status and impending disaster. The application in a certain mining area in Liupanshui, Guizhou Province demonstrated that this system can effectively identify high-risk areas, with the coincidence rate of identifying "unstable areas" exceeding 85%, and the physical mechanism of water chemical indicators was verified through hydrogen and oxygen isotope analysis. This integrated system provides a systematic technical solution for risk management and disaster prevention and mitigation in mining areas with similar complex geological conditions.

Magnesium silicate hydrate cement (MSHC) is considered a promising low-carbon alternative to ordinary Portland cement because of its lower calcination temperature and comparable mechanical performance. However, its application in reinforced concrete is limited by the corrosion risk of embedded steel, mainly associated with the relatively low alkalinity of the pore solution. This review summarizes the current understanding of the corrosion behavior and mechanisms of steel reinforcement in MSHC, with emphasis on passive film stability, chloride attack, and carbonation effects. Common evaluation methods, including electrochemical techniques and microstructural characterization, are also discussed. Existing studies indicate that although MSHC exhibits a relatively dense matrix and low chloride transport capacity, its weaker alkaline reserve reduces the stability of steel passivation compared with ordinary Portland cement. Current protection strategies mainly rely on modifying pore solution chemistry and improving interfacial conditions. Finally, key research needs are identified to support the durable application of reinforced MSHC in low-carbon construction.

The evaluation of the geological environment carrying capacity of mines is crucial for achieving sustainable development and risk management of mines. This study proposes a spatio-temporal evaluation model that integrates remote sensing ecological indices and geological safety indices to take into account the surface ecological status of the mining area and underground geological safety. This method is based on the theoretical framework of "state-pressure-response", integrates multi-source remote sensing, InSAR, geology and other multi-temporal data, constructs RSEI through principal component analysis, builds GSI through analytic hierarchy process, and determines the weights using entropy weight method for comprehensive evaluation, generating the spatial distribution of carrying capacity. Taking the Pingshuo mining area in Shanxi Province as an example, the application of the model (from 2015 to 2024) shows that the high carrying capacity vulnerable areas present a "point-line-plane" composite feature, which is highly correlated with mining activities and structural zones. The verification indicates that the overall accuracy of the model is 86.4%, and it can identify 35% of the emerging deformation and ecological degradation risk areas that were underestimated by traditional methods, providing an effective spatialization tool for dynamic monitoring and precise control of the mining area environment.

Short-term load forecasting is essential for power system scheduling, reserve allocation, demand response, and risk-aware operation. However, deterministic point forecasts cannot fully describe load uncertainty under weather variability, calendar effects, and non-stationary demand patterns. This paper proposes a probabilistic short-term load forecasting framework that integrates historical load-memory features, weather variables, calendar indicators, degree-based temperature proxies, lag variables, and rolling statistics. Linear Regression, Random Forest, and Histogram-based Gradient Boosting Regression are first compared for point forecasting, and quantile regression models are then used to construct raw 90% prediction intervals. To improve interval reliability, a split conformal calibration layer is further introduced as a post-processing step. Experiments are conducted on an hourly synthetic load dataset covering 2019–2022. The results show that Linear Regression achieves the lowest RMSE, while Histogram-based Gradient Boosting Regression obtains slightly better MAE and MAPE. Feature ablation confirms that historical load-memory features provide the main forecasting basis, while weather and calendar variables offer complementary information. For probabilistic forecasting, split conformal calibration improves PICP from 0.8290 to 0.8686 and reduces the Winkler Score, indicating better interval reliability and overall quality. Nevertheless, the calibrated coverage remains below the nominal 90% level, suggesting that adaptive calibration is still needed under distribution shift and extreme load fluctuations.

The development of efficient electrocatalytic technologies is an important topic in the energy field as the world energy structure increasingly leans towards cleanliness. Electrocatalysis plays a crucial role in water electrolysis and fuel cells due to its ability to operate at normal temperature and pressure, easy reaction control and high efficiency. The electrode material is crucial to electrocatalysis as it determines the performance of the entire electrocatalysis. Molybdenum disulfide (MoS2), a typical two-dimensional transition metal sulfide, is a promising non-noble metal electrocatalyst due to its unique layered structure and adjustable electronic properties. However, pure-phase MoS2has problems such as lower conductivity, surface passivation and fewer active sites. Therefore, this paper first summarizes the basic concepts of electrocatalysis and the composition of electrocatalytic devices, and then summarizes the preparation methods of pure phase MoS2such as hydrothermal/solvothermal method, chemical vapor deposition, and rapid thermal annealing method, And the effects of different modification methods, such as introducing heteroatoms, constructing heterostructures, or combining with carbon materials, on the structure of MoS2and its electrocatalytic activity are described. Studies have shown that the use of zero-valent cobalt intercalation doping, MoS2@Mo2C heterojunctions, and MoS2/MWCNT composites can significantly reduce the overpotential of the hydrogen evolution reaction, improve the hydrogen adsorption free energy, and enhance its stability. By summarizing, analyzing and comparing the current related work, the mechanism of the effects of different modification methods on the electrocatalytic activity of MoS2was obtained, thus laying the foundation for the further development of efficient non-precious metal electrocatalysts.

Metal additive manufacturing is a technology based on the principle of layer-by-layer accumulation.It offers core advantages such as high design freedom, high material utilization rate and the ability to achieve integrated forming of complex structures. It has become a key manufacturing technology in fields such as aerospace, biomedicine, and high-end equipment. This paper systematically reviews the forming principles and applicable scenarios of three mainstream metal additive manufacturing technologies: laser powder bed fusion, electron beam powder bed fusion, and directed energy deposition. It elaborates on the compatibility characteristics and engineering applications of core materials such as titanium alloys, superalloys.It summarizes the core advantages of this technology and the current industry challenges it faces, such as cost and performance consistency. Finally, it outlines the development trends toward large-scale, more efficient and more diverse materials, aiming to provide references for research and engineering applications in the field of metal additive manufacturing.

Desert areas like Karamay in Xinjiang have high surface albedo, frequent dust storms, and extreme summer heat. These conditions make photovoltaic plant design different from conventional sites. This work investigates the optimal tilt angle and capacity ratio for a 100 MW fixed‑tilt bifacial PV plant in such an environment. The electrical configuration follows IEC standards. Fifty‑seven simulation scenarios covering a broad range of tilt angles and capacity ratios are run in PVsyst 7.4. The analysis focuses on in‑plane irradiation, annual grid‑connected energy, and levelized cost of electricity. The results show a flat‑bottomed optimum region defined by a tilt angle of 36° to 37° and a capacity ratio of 1.20 to 1.25. The minimum LCOE is about 0.1842 yuan/kWh, roughly 1.3% lower than a conventional design. The high desert albedo shifts the optimal tilt approximately 9° below the local latitude, while the rear‑side gain of bifacial modules contributes an extra 8% to 12% of energy yield. These findings provide a quantitative basis for customizing large‑scale PV plants in similar desert and Gobi regions.

The short-distance accessibility of urban public recreational spaces directly determines their actual utilization efficiency. As the mainstream modes of short-distance travel, green transport options such as walking and cycling serve as the key link connecting residents with recreational spaces. Their accessibility levels are closely associated with carbon emissions from recreational travel, emerging as a crucial dimension of urban low-carbon development. Current relevant studies mostly focus on green space itself, with insufficient attention paid to green transport-oriented accessibility, and there remains room for expansion in the coupled analysis of accessibility and carbon emissions. Taking New York City, USA as the research object, this study integrates diverse recreational spaces including urban parks, sports facilities, and cultural or educational sites. Employing the Gaussian Two-Step Floating Catchment Area method, it systematically explores the accessibility levels and distribution patterns of recreational spaces under the context of green transport, while conducting coupled carbon emission accounting for recreational travel. The results reveal significant regional disparities in the accessibility of recreational spaces in New York City in accessibility indices, presenting a circular gradient characteristic of "core agglomeration-transitional median-peripheral dispersion". Recreational travel carbon emissions show a significant strong negative correlation with green transport accessibility. Low-accessibility areas form a high-carbon emission structure due to the high proportion of motor vehicle travel, and the spatial differentiation patterns of the two are highly consistent. Based on the above findings, this study presents targeted optimization suggestions from two dimensions: spatial layout and green transport network, as an exploration for the planning practice of low-carbon recreational spaces.

Pure silicon anodes are regarded as promising candidates for high-energy lithium-ion batteries, yet their practical use is still limited by severe mechanical degradation and sluggish charge-transfer behavior. Rather than treating silicon as an isolated active phase, recent studies increasingly design it as part of integrated composite systems in which each component performs a specific function. This review reorganizes the progress of silicon-based composites from four perspectives: carbon-supported structures that provide conductive and deformable frameworks, metal-containing hybrids that reinforce the electrode and reduce impedance, silicon oxide-related heterostructures that generate interfacial buffer phases, and polymer/inorganic architectures that combine adhesion, elasticity, and interphase regulation. Emphasis is placed on the cooperative roles of different phases in relieving volume strain, preserving electrical contact, stabilizing the SEI, and promoting ion/electron transport. The discussion aims to clarify the design logic of advanced silicon-based anodes and to provide guidance for constructing practical composite electrodes for next-generation high-energy lithium-ion batteries.