In the realistic context of the development of China’s digital economy and carbon peaking and carbon neutrality goals, to efficiently achieve high-quality economic and green and low-carbon transformation, this paper investigates the impact of digital economy development on the carbon emission efficiency of 30 Chinese provinces and cities from 2011–2019. In this paper, firstly, the digital economy development index and carbon emission efficiency are calculated by the entropy method and the Super-SBM-Undesirable Model. Secondly, the Spatial Lag Model (SAR) and the Spatial Durbin Model (SDM) are respectively constructed under the adjacency matrix and the geographic distance matrix to empirically test the spatial impact of the digital economy on carbon emission efficiency. The results show that: the digital economy development and carbon emission efficiency of Chinese provinces and cities both show the spatial distribution characteristics of stronger in the East and weaker in the Middle and West; the digital economy development in Chinese provinces and cities has a significantly positive direct and spatial spillover effect on carbon emission efficiency; there are differences in the direct and spatial spillover effects of various dimensions of the digital economy development on the carbon emission efficiency in Chinese provinces and cities; the direct effect of the digital economy development on the carbon emission efficiency in Chinese provinces and cities has significant regional heterogeneity among eastern, central, and western regions. This paper provides new empirical evidence for developing countries such as China to proactively develop a digital economy to promote energy conservation and emission reduction to realize green and low-carbon transformation.

Energy security and ecological and environmental security are some of the most basic and important preconditions for national development, and ecological compensation is an important institutional guarantee for construction of China’s ecological civilization. The Chinese government has always made it clear that it will “step up efforts to protect the ecosystem” and establish market-based and diversified ecological compensation mechanisms. However, the existing system and mechanism design of ecological environment protection has been unable to meet the needs of economic and social development in the new era. On the basis of the psychological account theory and prospect theory, this paper constructed an evaluation system of strategic mineral resources exploitation and ecological environmental protection effects in Western China using the VIKOR-AISM model. In this paper, the VIKOR-AISM model comprehensively considers the maximization of group utility and minimization of individual regrets, and conducts a cluster analysis based on the compromise value Q and its inflection $k$. The comprehensive ranking changes of evaluation subjects under different decision preferences and hesitation interval measures were studied according to the antagonist hierarchy topology. The research results provide decision-making support for China to formulate ecological compensation policies in line with regional characteristics.

Faced with both economic and environmental pressures, how to improve energy efficiency in a green way is gradually attracting attention. Reasonable environmental regulations can promote the green transformation of energy and improve green energy efficiency, which is of great practical significance for achieving global sustainable development. This paper measures the green energy efficiency of 30 Chinese provinces in 2019 based on the Super-SBM model, selects five representative antecedent conditions of three environmental regulation dimensions: command-and-control, market-incentive, and voluntary public, and uses fsQCA to explore the group effects and enhancement paths of different types of environmental regulations on green energy efficiency. The results found that (1) there are four green energy efficiency enhancement paths: government pressure type, market mobilization type, government-led public association type, and multiple subject type; (2) commandand- control type environmental regulations play an important role in enhancing green energy efficiency in most provinces; and (3) multiple subject type enhancement paths can achieve higher green energy efficiency. This study investigates the impact of environmental regulation on green energy efficiency in order to provide reference and reference for the improvement of green energy efficiency in China’s provinces.

The thermal comfort of preschool children was assumed to be similar to that of young adults, which may cause inaccuracy. This study tested and analyzed the thermal response characteristics of young adults and preschool children (4–6 years old) and the differences in thermal sensation and thermal physiology between the two groups of participants in a room with a radiant floor heating system using the difference analysis methods (the paired data t-test, the Mann–Whitney U test and the Kruskal–Wallis H test). Participants were divided into two groups, young adults and preschoolers, and were sat in each condition while wearing winter clothing with a thermal resistance of 1.02 clo. The results showed that when the indoor temperature changed, there was a significant difference in the local skin temperature of the calf between the two groups of participants (p < 0.05). Preschool children adapt to the thermal environment better than adults, and the difference in metabolic rate is one of the influencing factors. The overall thermal sensation with mean skin temperature of the different populations was linearly correlated; correlation coefficients were 0.944 and 0.932, respectively. The overall thermal sensation of the participants was linear with respect to the indoor operative temperature. Preschool children have a higher thermal sensitivity to temperature change than young adults under low-temperature radiant floor heating systems, indicating that children have different thermal awareness from adults. There were significant differences in preschoolers’ subjective assessments of thermal sensation when the predicted mean vote (PMV) model was used as the evaluation standard; the difference ranged from 0.77 to 2.33. Thus, the PMV-predicted percentage dissatisfied (PPD) model is not suitable for preschool children.

Post-event building damage assessment from bi-temporal satellite imagery is challenging because damaged pixels are sparse, structural changes can resemble radiometric variation, and sensor changes can dominate direct feature subtraction. This study evaluates SiameseCTDM with a Sensor-Adaptive Cross-Temporal Difference Module (SA-CTDM). At each encoder stage, SA-CTDM combines absolute and magnitude-normalized relative discrepancies through a learned per-channel gate, followed by channel recalibration. The gate provides adaptive interpolation between two discrepancy definitions; it is not treated as an independently superior accuracy component. A source-preserving class-conditional objective is also evaluated for optical-to-SAR adaptation by combining supervised BRIGHT learning, continued xBD supervision, and multi-stage alignment of intact and damaged prototypes. The adaptation terms are training-only and add no inference-time parameters. On the xBD hold set, complete SA-CTDM obtains 66.68 ± 0.54% F1, compared with 66.16 ± 1.12% for original CTDM, representing a modest 0.52 percentage-point mean increase with lower variance. A normalized-only ablation is the strongest single run, so an independent gating advantage is not claimed. A unified batch-one benchmark at $512\times 512$ input resolution reports measured latency and throughput in addition to parameter counts and GFLOPs. On a fixed seed-42 sample-level BRIGHT split, the complete configuration using 611 labeled pairs reaches 34.33% F1, whereas the aligned 305-pair configuration does not outperform vanilla fine-tuning. The results therefore characterize split-specific and label-budget-dependent behavior rather than uniform few-shot superiority.