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Accurate long-term power load forecasting in the grid is crucial for supply–demand balance analysis in new power systems. It helps to identify potential power market risks and uncertainties in advance, thereby enhancing the stability and efficiency of power systems. Given the temporal and nonlinear features of power load, this paper proposes a hybrid load-forecasting model using attention mechanisms, CNN, and BiLSTM. Historical load data are processed via CEEMDAN, K-means clustering, and VMD for significant regularity and uncertainty feature extraction. The CNN layer extracts features from climate and date inputs, while BiLSTM captures short- and long-term dependencies from both forward and backward directions. Attention mechanisms enhance key information. This approach is applied for seasonal load forecasting. Several comparative experiments show the proposed model’s high accuracy, with MAPE values of 1.41%, 1.25%, 1.08% and 1.67% for the four seasons. It outperforms other methods, with improvements of 0.25–2.53 GWh2 in MSE, 0.15–0.1 GWh in RMSE, 0.1–0.74 GWh in MAE and 0.22–1.40% in MAPE. Furthermore, the effectiveness of the data processing method and the impact of training data volume on forecasting accuracy are analyzed. The results indicate that decomposing and clustering historical load data, along with large-scale data training, can both boost forecasting accuracy.

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Economic growth is closely related to carbon emissions, and determining the appropriate emission reduction targets for various sectors under different economic models has always been a challenge. This paper utilizes an Energy-Economic-Environment CGE model to simulate two types of economic growth models: extensive and intensive. Four economic growth scenarios are defined, and initial carbon quota allocations for various sectors are obtained for China at two key points: the peak year (2029) and the post-peak year (2035). The ZSG-DEA model is applied, considering the principles of fairness and efficiency, to iterate carbon efficiency across 33 industries and obtain quota adjustment values. The results indicate that the innovation-driven scenario, representing intensive growth, achieves a win-win outcome compared to other scenarios by enhancing GDP and avoiding additional carbon reduction costs. The initial carbon emission efficiency in agriculture, chemicals, steel, electronics, water supply, and services all reached 1. Comparative analysis reveals that the sectors of electricity, chemicals, coal, and cement face higher emission reduction pressures, while agriculture and services experience relatively lower pressures.

In order to mitigate global warming and improve air quality, the transformation of regional energy structures is the most important development pathway. China, as a major global consumer of fossil fuels, will face great pressure in this regard. Aiming toward achieving the global 2 °C warming target in China, this study takes one of the most developed regions of China, Guangdong Province, as the research area in order to explore a future development pathway and potential air quality attainment until 2050, by developing two energy structure scenarios (BAU_Energy and 2Deg_Energy) and three end-of-pipe scenarios (NFC, CLE, and MTFR), and simulating future air quality and related health impacts for the different scenarios using the WRF-Chem model. The results show that under the energy transformation scenario, total energy consumption in Guangdong rises from 296 Mtce (million tons of coal equivalent) in 2015 to 329 Mtce in 2050, with electricity and clean energy accounting for 45% and 35%. In 2050, the transformation of the energy structure leads to 64%, 75%, and 46% reductions in the emissions of CO2, NOx, and SO2 compared with those in 2015. Together with the most stringent end-of-pipe control measures, the emissions of VOCs and primary PM2.5 are effectively reduced by 66% and 78%. The annual average PM2.5 and MDA8 (daily maximum 8 h O3) concentrations in Guangdong are 33.8 and 85.9 μg/m3 in 2015, with 63.4 thousand premature deaths (95% CI: 57.1–70.8) due to environmental exposure. Under the baseline scenario, no improvement is gained in air quality or public health by 2050. In contrast, the PM2.5 and MDA8 concentrations decline to 21.7 and 75.5 μg/m3 under the scenario with energy structure transformation, and total premature deaths are reduced to 35.5 thousand (31.9–39.5). When further combined with the most stringent end-of-pipe control measures, the PM2.5 concentrations decrease to 16.5 μg/m3, but there is no significant improvement for ozone, with premature deaths declining to 20.6 thousand (18.5–23.0). This study demonstrates that the transformation of energy structure toward climate goals could be effective in mitigating air pollution in Guangdong and would bring significant health benefits. Compared with the end-of-pipe control policies, transformation of the energy structure is a more effective way to improve regional air quality in the long term, and synergistic promotion of both is crucial for regional development.

Abstract Large-scale climate change on the Tibetan Plateau (TP), the world’s Third Pole, has attracted extensive attention, while studies of urban climate on the TP have been sporadic. Here, we quantify urban expansion on the TP and its contribution to surface warming of typical plateau cities based on existing literature, observations, and numerical simulations. Large-scale warming of the surface atmosphere over the TP during 1975–2021 is estimated to be 0.31 [0.19 to 0.47] °C decade−1 based on a set of rural meteorological sites, while the atmospheric warming of six typical highland cities on the TP during the same period is estimated to be 0.44 [0.31 to 0.53] °C decade−1. This means that urbanization contributed about 30% of the warming in these cities. Lhasa is one of the cities with the strongest warming over the TP. The contribution of urban expansion to Lhasa’s air temperature increase is approximately 40%, which can be estimated using both observations and numerical simulations. The urban expansion footprint of Lhasa and its contribution to the spatial pattern and diurnal variation of atmospheric and land surface warming are quantified. The contribution of urbanization to the near-surface air temperature and land surface temperature of Lhasa from 2000 to 2020 is estimated to be 0.44 [0.39 to 0.49] °C and 1.44 [1.32 to 1.56] °C, respectively. These results provide potential global implications for urban studies in plateau areas.

Infrared–visible image fusion (IVIF) seeks to combine the thermal saliency of infrared images with the rich textures of visible images in a single representation. This study proposes RIF-Fuse, a framework designed to enhance fusion stability and detail fidelity through a band-controllable structure–detail decoupling mechanism. We utilize a wavelet-based pipeline to explicitly separate low-frequency structural components from high-frequency textures. A Haar residual enhancement path is integrated into the high-frequency branch to provide low-loss compensation for weak textures, while a band-aware differential fusion strategy is designed to suppress structural conflicts and accentuate edges at the subband level. A two-stage training scheme is further applied to ensure optimization stability. Extensive experiments on the TNO and RoadScene datasets demonstrate that RIF-Fuse produces sharper details and more natural structures compared to state-of-the-art methods. The results indicate that RIF-Fuse achieves a superior balance across multiple objective metrics, offering a robust solution for high-fidelity multimodal image synthesis.

Combined diquat and paraquat poisoning is a rare but clinically significant form of poisoning, associated with severe oxidative stress and multiorgan failure. Historical case series have reported high case fatality, particularly following high-dose exposure. The absence of specific antidotes and standardized treatment protocols for mixed poisoning necessitate innovative therapeutic approaches. We present the case of an adolescent girl in her early teens who ingested 100 mL of a commercially obtained but illegally formulated diquat–paraquat mixture (200 g/L). A novel low-metabolism strategy was implemented, comprising low-concentration oxygen therapy (fraction of inspired oxygen (21%–30%), targeted sedation/analgesia, β-blockade, temperature management, and multimodal detoxification). Plasma toxin levels decreased by >97% within 20 h. Despite complications including anuria, cerebral edema, and respiratory failure, the patient achieved complete recovery after 49 days. Low-metabolism strategy reduced cellular oxygen consumption, mitigated oxidative damage, and enabled effective elimination of toxins. Dynamic monitoring guided tailored organ support. The integration of low-metabolism strategy timely and multimodal detoxification may represent a promising, albeit resource-intensive, approach for severe bipyridinium herbicide poisoning. This strategy warrants further validation in controlled studies and offers a potential framework for cases with severe poisoning.

Forests in the middle and high latitudes of the northern hemisphere function as a significant sink for atmospheric carbon dioxide (CO ₂). This carbon (C) sink has been attributed to two processes: age-related growth after land use change and growth enhancement due to environmental changes, such as elevated CO ₂, nitrogen deposition, and climate change. However, attribution between these two processes is largely controversial. Here, using a unique time series of an age-class dataset from six national forest inventories in Japan and a new approach developed in this study (i.e., examining changes in biomass density at each age class over the inventory periods), we quantify the growth enhancement due to environmental changes and its contribution to biomass C sink in Japan’s forests. We show that the growth enhancement for four major plantations was 4.0∼7.7 Mg C⋅ha ⁻¹ from 1980 to 2005, being 8.4–21.6% of biomass C sequestration per hectare and 4.1–35.5% of the country's total net biomass increase of each forest type. The growth enhancement differs among forest types, age classes, and regions. Our results provide, to our knowledge, the first ground-based evidence that global environmental changes can increase C sequestration in forests on a broad geographic scale and imply that both the traits and age of trees regulate the responses of forest growth to environmental changes. These findings should be incorporated into the prediction of forest C cycling under a changing climate.

Self-renewal is a hallmark of both hematopoietic stem cells (HSCs) and leukemia stem cells (LSCs); therefore, the identification of mechanisms that are required for LSC, but not HSC, function could provide therapeutic opportunities that are more effective and less toxic than current treatments. Here, we employed an in vivo shRNA screen and identified jumonji domain-containing protein JMJD1C as an important driver of MLL-AF9 leukemia. Using a conditional mouse model, we showed that loss of JMJD1C substantially decreased LSC frequency and caused differentiation of MLL-AF9- and homeobox A9-driven (HOXA9-driven) leukemias. We determined that JMJD1C directly interacts with HOXA9 and modulates a HOXA9-controlled gene-expression program. In contrast, loss of JMJD1C led to only minor defects in blood homeostasis and modest effects on HSC self-renewal. Together, these data establish JMJD1C as an important mediator of MLL-AF9- and HOXA9-driven LSC function that is largely dispensable for HSC function.

Specific localization of photosensitizers (PSs) to a certain organelle could result in targeted attack to cause greater trauma to cancer cells, eventually maximizing photodynamic therapy (PDT). However, currently, efficient and precise transportation of PSs via drug delivery to tumor cells and subcellular organelles is still challenging, due to a so‐called step‐reduction delivery dilemma (SRDD) which also threatens anticancer drug delivery to exert their efficacy. Herein, a cascade targeting near infrared II (NIR II) fluorescent nanoparticles (NPER/BO‐PDT) is designed that can target bone tumor first and then target the subcellular organelle of endoplasmic reticulum (ER). It is found that NPER/BO‐PDT achieves the targeted accumulation of the bone tumor and then ER. NPER/BO‐PDT generates reactive oxygen species (ROS) in the subcellular organelles of ER under near infrared light irradiation. The continuous ER stress by ROS promotes the release of more damage‐associated molecular patterns, induces immunogenic cell death, stimulates the adaptive immune response, and further synergistically inhibits tumor growth, achieving the so‐called photodynamic‐immunotherapy. Overall, this study exemplifies a safe and efficient nano‐drug delivery system for a bone and ER cascade targeting via delivery of PSs to break the SRDD and highlights potential clinical translation. To break the step‐reduction delivery dilemma (SRDD), near infrared II fluorescent cascade targeting nanoparticle (NPER/BO‐PDT) is successfully prepared. NPER/BO‐PDT has the endoplasmic reticulum (ER) targeting ability, resulting in stimulated continuous reactive oxygen species‐based ER stress and cell death. Furthermore, NPER/BO‐PDT could better break the SRDD and amplify the effect of photodynamic‐immunotherapy in vitro and in vivo.