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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm:A case study during 2015–2020 in Shaanxi,China

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Journal of Environmental Sciences 2025年第3期149卷 358-373页

作者： Hongye cao Ling han Ming Liu Liangzhi Li China Jikan Research Institute of Engineering Investigations and Design Co.Ltd.Xi’an 710043China College of Geological Engineering and Geomatics Chang’an UniversityXi’an 710061China School of Land Engineering Chang’an UniversityXi’an 710064China Xi’an Key Laboratory of Territorial Spatial Information School of Land EngineeringChang’an UniversityXi’an 710064China Department of Geography and Environmental Management University of WaterlooWaterlooOntario N2L 3G1Canada

Carbon emissions resulting from energy consumption have become a pressing issue for governments *** estimation of carbon emissions using satellite remote sensing data has become a crucial research *** studies relied on statistical regression models that failed to capture the complex nonlinear relationships between carbon emissions and characteristic *** this study,we propose a machine learning algorithm for carbon emissions,a Bayesian optimized XGboost regression model,using multi-year energy carbon emission data and nighttime lights(NTL)remote sensing data from Shaanxi Province,*** results demonstrate that the XGboost algorithm outperforms linear regression and four other machine learning models,with an R^(2)of 0.906 and RMSE of *** observe an annual increase in carbon emissions,with high-emission counties primarily concentrated in northern and central Shaanxi Province,displaying a shift from discrete,sporadic points to contiguous,extended spatial *** autocorrelation clustering reveals predominantly high-high and low-low clustering patterns,with economically developed counties showing high-emission clustering and economically relatively backward counties displaying low-emission *** findings show that the use of NTL data and the XGboost algorithm can estimate and predict carbon emissionsmore accurately and provide a complementary reference for satellite remote sensing image data to serve carbon emission monitoring and *** research provides an important theoretical basis for formulating practical carbon emission reduction policies and contributes to the development of techniques for accurate carbon emission estimation using remote sensing data.

关键词： Machine learning Energy carbon emissions Nighttime light Spatial distribution

A brief review of preparation and applications of monolithic aerogels in atmospheric environmental purification

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Journal of Environmental Sciences 2025年第3期149卷 209-220页

作者： Linfeng Nie Shuangde Li Mengjie cao Ning han Yunfa Chen State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Science&Technology on Particle Materials Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Monolithic aerogels are promising candidates for use in atmospheric environmental purification due to their structural advantages,such as fine building block size together with high specific surface area,abundant pore structure,***,monolithic aerogels possess a unique monolithic macrostructure that sets them apart from aerogel powders and nanoparticles in practical environmental clean-up *** review delves into the available synthesis strategies and atmospheric environmental applications of monolithic aerogels,covering types of monolithic aerogels including SiO_(2),graphene,metal oxides and their combinations,along with their preparation *** particular,recent developments for VOC adsorption,CO_(2)capture,catalytic oxidation of VOCs and catalytic reduction of CO_(2)are ***,challenges and future opportunities for monolithic aerogels in the atmospheric environmental purification field are *** reviewprovides valuable insights for designing and utilizing monolithic aerogel-based functional materials.

关键词： Monolithic aerogel Environmental purification Catalysis Adsorption

Anomaly monitoring and early warning of electric moped charging device with infrared image

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Optoelectronics Letters 2025年第3期21卷 136-141页

作者： LI Jiamin han bo JIANG Mingshun School of Control Science and Engineering Shandong University

Potential high-temperature risks exist in heat-prone components of electric moped charging devices, such as sockets,interfaces, and controllers. Traditional detection methods have limitations in terms of real-time performance and monitoring scope. To address this, a temperature detection method based on infrared image processing has been proposed:utilizing the median filtering algorithm to denoise the original infrared image, then applying an image segmentation algorithm to divide the image.

关键词： A

Use of forestry waste as an alternative raw material for generating metallurgical coke

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Journal of Iron and Steel Research International 2025年第1期32卷 25-39页

作者： Lin-bo Qin Wei Qin An-yi Wang Ling Shi Jun han College of Resources and Environment Engineering Wuhan University of Science and TechnologyWuhan430081HubeiChina Hubei Key Laboratory of Industrial Fume and Dust Pollution Control Jianghan UniversityWuhan430056HubeiChina Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources Wuhan University of Science and TechnologyWuhan430081HubeiChina

Forestry waste(FW)is a significant renewable energy source in *** substitution of coal blends(BC)with forestry waste to produce metallurgical coke was investigated aiming at expanding alternative resources and reducing CO_(2)emissions in ironmaking *** BC with different ratios of FW were carbonized in a fixed bed reactor,and the physicochemical structure of the coke derived from FW/BC co-carbonization was characterized by Fourier transform infrared spectroscopy,X-ray photoelectron spectroscopy,solid-state^(13)C nuclear magnetic resonance,optical microscopy,and scanning electron *** results reveal that the suitable incorporation of FW in BC is 10 wt.%,and the index of coke quality exhibits a good correlation with the optical anisotropy index and the aromaticity of the as-obtained *** partial substitution of BC with FW exhibits potential benefits for colloid formation,owing to the higher hydrogen in ***,as the substitution ratio of BC with FW increases,it inhibits coke agglomeration due to more tortuous stacked structures formation during volatile releasing ***,it was identified that the substitution of higher BC ratios with FW results in the partial replacement of aromatic carbons by oxygenlinked carbons and aliphatic *** substitution leads to a reduction in the aromaticity of the as-obtained coke.

关键词： Metallurgical coke Forestry waste Coal blend Co-carbonization Chemical structure

AI-based Correction of Wave Forecasts Using the Transformer-enhanced UNet Model

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Advances in Atmospheric Sciences 2025年第1期42卷 221-231页

作者： Yanzhao cao Shouwen ZhanG Guannan LV Mengchao YU bo AI College of Geodesy and Geomatics Shandong University of Science and TechnologyQingdao 266000China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519000China Qingdao Yuehai Information Service Company Ltd Qingdao 266000China North China Sea Marine Forecasting Center of State Oceanic Administration Qingdao 266100China

Grid forecasting can be used to effectively enhance the spatial and temporal density of forecast products,thereby improving the capability of short-term marine disaster forecasting and warnings in terms of *** traditional method that relies on forecasters'subjective correction of station observation data for forecasting has been unable to meet the practical needs of refined *** address this problem,this paper proposes a Transformer-enhanced UNet(TransUNet)model for wave forecast AI correction,which fuses wind and wave *** Transformer structure is integrated into the encoder of the UNet model,and instead of using the traditional upsampling method,the dual-sampling module is employed in the decoder to enhance the feature extraction *** paper compares the TransUNet model with the traditional UNet model using wind speed forecast data,wave height forecast data,and significant wave height reanalysis data provided by *** experimental results indicate that the TransUNet model yields smaller root-meansquare errors,mean errors,and standard deviations of the corrected results for the next 24-h forecasts than does the UNet ***,the root-mean-square error decreased by more than 21.55%compared to its precorrection *** to the statistical analysis,87.81%of the corrected wave height errors for the next 24-h forecast were within±0.2m,with only 4.56%falling beyond±0.3 *** model effectively limits the error range and enhances the ability to forecast wave heights.

关键词： TransUNet Transformer wave forecasting bias correction

Charge polarity inversion and zincophilicity improvement for chitosan separator towards durable aqueous zinc-ion batteries

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Journal of Energy Chemistry 2025年第2期101卷 110-119页

作者： Jiaqi Yu bo Liu Hong Ma Zehua Fan Xiang han Qinghua Tian Jizhang Chen Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Materials Science and Engineering Nanjing Forestry University College of Mathematics and Physics Jinggangshan University Key Laboratory of Surface & Interface Science of Polymer Materials of Zhejiang Province School of Chemistry and Chemical Engineering Zhejiang Sci-Tech University

Aqueous zinc-ion batteries encounter enormous challenges such as Zn dendrites and parasitic *** modification is a highly effective strategy to address these *** the advantages of low cost,nontoxicity,biodegradability,good film-forming ability,superior hydro phi licity,and rich functional groups,chitosan is an ideal matrix for constructing ***,the presence of positive charges within chitosan in weakly acidic electrolytes is unfavorable for dendrite ***,Schiff base reaction is introduced to modify chitosan matrix,transforming its charge polarity from positive to ***,NbN with excellent zincophilicity is coated onto chitosan matrix,forming a Janus separator with low thickness of 19 μm and considerably improved mechanical *** resultant separator can promote the transport of Zn2+ions while triggering a repulsive shielding effect against anions,therefore dramatically enhancing Zn2+ion transfer number from 0.28 to *** separator can also facilitate desolvation process,improve exchange current density,restrict two-dimensional Zn2+ion diffusion,and enhance electrochemical kinetics,contributing to significantly inhibited dendrite growth,by-product formation,and hydrogen ***,stable and reversible Zn stripping/plating process is enabled for over 2500 h at 2 mA cm-2and 2 mAh *** great rate capability and excellent cyclability can be achieved for full batteries even under harsh *** work provides new insights into separator design for Zn-based batteries.

关键词： Aqueous zinc-ion batteries Charge polarity regulation Chitosan utilization Dendrite inhibition Separator modification

FK506 contributes to peripheral nerve regeneration by inhibiting neuroinflammatory responses and promoting neuron survival

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Neural Regeneration Research 2025年第7期20卷 2108-2115页

作者： Yuhui Kou Zongxue Jin Yusong Yuan bo Ma Wenyong Xie Na han Department of Trauma and Orthopedics Peking University People’s HospitalBeijingChina National Center for Trauma Medicine Peking University People’s HospitalBeijingChina Key Laboratory of Trauma and Neural Regeneration(Peking University) Ministry of EducationBeijingChina Trauma Medicine Center Peking University People’s HospitalBeijingChina Department of Orthopedics China-Japan Friendship HospitalBeijingChina

FK506(Tacrolimus)is a systemic immunosuppressant approved by the *** and Drug ***506 has been shown to promote peripheral nerve regeneration,however,its precise mechanism of action and its pathways remain *** this study,we established a rat model of sciatic nerve injury and found that FK506 improved the morphology of the injured sciatic nerve,increased the numbers of motor and sensory neurons,reduced inflammatory responses,markedly improved the conduction function of the injured nerve,and promoted motor function *** findings suggest that FK506 promotes peripheral nerve structure recovery and functional regeneration by reducing the intensity of inflammation after neuronal injury and increasing the number of surviving neurons.

关键词： FK506 inflammation motor neurons nerve regeneration neuron peripheral nerve injury sensory neurons

Building Li-S batteries with enhanced temperature adaptability via a redox-active COF-based barrier-trapping electrocatalyst

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Journal of Energy Chemistry 2025年第2期101卷 702-712页

作者： Jie Xu Acheng Zhu Zhangyu Zheng Yiming Qi Yuwen Cheng Yongjie cao bo Peng Lianbo Ma Yonggang Wang School of Materials Science and Engineering Key Laboratory of Efficient Conversion and Solid-state Storage of Hydrogen & Electricity of Anhui Province Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials of Ministry of Education Anhui University of Technology Department of Chemistry and Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials Institute of New Energy iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) Fudan University

Covalent organic frameworks（COFs） are promising materials for mitigating polysulfide shuttling in lithium-sulfur（Li-S） batteries,but enhancing their ability to convert polysulfides across a wide temperature range remains a challenge,Herein,we introduce a redox-active COF（RaCOF） that functions as both a physical barrier and a kinetic enhancer to improve the temperature adaptability of Li-S batteries,The RaCOF constructed from redox-active anthraquinone units accelerates polysulfide conversion kinetics through reversible C=O/C-OLi transformations within a voltage range of 1,7 to 2.8 V（***+/Li）,optimizing sulfur redox reactions in ether-based *** conventional COFs,RaCOF provides bidentate trapping of polysulfides,increasing binding energy and facilitating more effective polysulfide ***-situ XRD and ToF-SIMS analyses confirm that RaCOF enhances polysulfide adsorption and promotes the transformation of lithium sulfide（Li2S）,leading to better sulfur cathode ***,RaCOF-modified Li-S batteries demonstrate low self-discharge（4.0% decay over a 7-day rest）,excellent wide-temperature performance（stable from-10 to+60℃）,and high-rate cycling stability（94% capacity retention over 500 cycles at 5.0 C）.This work offers valuable insights for designing COF structures aimed at achieving temperature-adaptive performance in rechargeable batteries.

关键词： Covalent organic framework Lithium-sulfur batteries Redox-active property Wide-temperature adaptability

Graph based recurrent network for context specific synthetic lethality prediction

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Science China(Life Sciences) 2025年第2期68卷 527-540页

作者： Yuyang Jiang Jing Wang Yixin Zhang ZhiWei cao Qinglong Zhang Jinsong Su Song He Xiaochen bo Academy of Medical Engineering and Translational Medicine Tianjin UniversityTianjin 300072China Department of Bioinformatics Institute of Health Service and Transfusion MedicineBeijing 100850China School of Medicine Tsinghua UniversityBeijing 100084China School of Informatics Xiamen UniversityXiamen 361005China

The concept of synthetic lethality(SL)has been successfully used for targeted *** further explore SL for cancer therapy,identifying more SL interactions with therapeutic potential are ***,graph neural network-based deep learning methods have been proposed for SL prediction,which reduce the SL search space of wet-lab based ***,these methods ignore that most SL interactions depend strongly on genetic context,which limits the application of the predicted *** this study,we proposed a graph recurrent network-based model for specific context-dependent SL prediction(SLGRN).In particular,we introduced a Graph Recurrent Network-based encoder to acquire a context-specific,low-dimensional feature representation for each node,facilitating the prediction of novel *** leveraged gate recurrent unit(GRU)and it incorporated a context-dependent-level state to effectively integrate information from all *** a result,SLGRN outperforms the state-of-the-arts models for SL *** subsequently validate novel SL interactions under different contexts based on combination therapy or patient survival *** in vitro experiments and retrospective clinical analysis,we emphasize the potential clinical significance of this context-specific SL prediction model.

关键词： synthetic lethality graph recurrent network context-specific graph combination therapy