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Antithetical impacts of deleterious LRP1B mutations in non-squamous and squamous NSCLCs on predicting benefits from immune checkpoint inhibitor alone or with chemotherapy over chemotherapy alone: retrospective analyses of the POPLAR/ OAK and CHOICE-01 trials

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Science China(Life Sciences) 2025年第1期68卷 249-262页

作者： Jinliang wang Wenyong Zhou yu Xu Jianchun Duan Qiaoxia Zhou Guoqiang wang Leo Li Chunwei Xu Wenxian wang Shangli Cai Zhijie wang Jie wang Department of Oncology The Fifth Medical Center of Chinese PLA General HospitalBeijing 100091China Department of Thoracic Surgery Shanghai Chest HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200025China Burning Rock Biotech Guangzhou 510300China CAMS Key Laboratoryof Translational Research on LungCancer State Key Laboratoryof Molecular OncologyDepartmentof Medical OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Institute of Basic Medicine and Cancer(IBMC) Chinese Academy of SciencesHangzhou 310000China Department of Clinical Trial The Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital)Hangzhou 310022China

In non-small cell lung cancers,the non-squamous and squamous subtypes(nsqNSCLC and sqNSCLC)exhibit disparities in pathophysiology,tumor immunology,and potential genomic correlates affecting responses to immune checkpoint inhibitor(ICI)-based *** our inhouse training cohort(n=85),the presence of the LRP1B deleterious mutation(LRP1B-del)was associated with longer and shorter progression-free survival(PFS)on ICIs alone in nsqNSCLCs and sqNSCLCs,respectively(Pinteraction=0.008).These results were validated using a larger public ICI cohort(n=208,Pinteractiony,sqNSCLCs without LRP1Bdel benefited more from atezolizumab(HR=0.60,P=0.002)than those with LRP1B-del(HR=1.30,P=0.31).Consistent results were observed in the in-house CHOICE-01 cohort,in which nsqNSCLCs with LRP1B-del and sqNSCLCs without LRP1B-del benefited more from toripalimab plus chemotherapy than from chemotherapy alone(Pinteraction=0.008).This multi-cohort study delineates the antithetical impacts of LRP1Bdel in nsqNSCLCs and sqNSCLCs on predicting the benefits from ICI alone or with chemotherapy over chemotherapy *** findings highlight the distinct clinical utility of LRP1B-del in guiding treatment choices for nsqNSCLCs and sqNSCLCs,emphasizing the necessity for a detailed analysis based on pathological subtypes when investigating biomarkers for cancer therapeutics.

关键词： non-squamous NSCLC squamous NSCLC LRP1B deleterious mutations predictive biomarker immune checkpoint inhibitor

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Lattice-mismatch-induced formation of defect-rich Pd-Cu alloy nanocages for enhanced formic acid oxidation activity

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Science China Chemistry 2025年第2期68卷 481-491页

作者： Zhaojun Liu Zhengyan wang Zhaoyu wang Hao yuan yuke Bai Xiaoxiao wang Zerui Mu Chunxia Wu Kai Liu Zhun Hu Chuanbo Gao sate Key Laboratory of Multiphase Flow in Power Engineering Frontier Institute of Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Institute of Industrial Catalysis School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049China

Crystallographic defects in noble metal nanocrystals are recognized as highly active catalytic sites,significantly enhancing activities in many important *** their importance,synthesizing noble metal nanocrystals with a high density of defects poses a considerable synthetic ***,we present a novel lattice mismatch-induced formation mechanism to create high-density defects in noble metal *** approach takes advantage of lattice mismatch to enable nonepitaxial nucleation and growth of a noble metal on a foreign metal substrate,forming abundant noble metal crystallites with random lattice orientations not dictated by the substrate *** these crystallites grow extensively,they merge,forming numerous grain boundaries and yielding defect-rich noble metal ***-rich alloy nanocrystals can also be synthesized through a subsequent vacancy-diffusion alloying *** take defective PdCu alloy nanocages as an example and demonstrate the effectiveness of crystallographic defects in enhancing catalytic performance of noble metal *** nanocages exhibit superior activity in the electrocatalytic formic acid oxidation reaction,which is 1.6 times greater than their defect-free *** strategy offers a new avenue for creating defect-rich noble metal nanocrystals as highly efficient catalysts for a wide array of catalytic applications.

关键词： noble metal nanocrystals defects non-epitaxial growth electrocatalysis formic acid oxidation reaction

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AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong wang Chen wang Wenying Zheng Wei Gu School of Software Nanjing University of Information Science and TechnologyNanjing210044China School of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China School of Computer Science and Technology(School of Artificial Intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China School of Computer Science(School of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation

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Structural design and controllable preparation of SiC NWs@Fe_(3)O_(4)@NC nanocomposites for electromagnetic wave absorption

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 520-533页

作者： Wenxin Zhao Meng Zhang yukun Miao Chang wang Anguo Cui Liying yuan Zeqing Miao Xiaoqing wang Zhibo wang Haoyu Pang Alan Meng Zhenjiang Li Ting wang College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042China Shandong Engineering Laboratory for Preparation and Application of High-Performance Carbon-Materials College of Electromechanical EngineeringQingdao University of Science and TechnologyQingdao 266061China Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEShandong Key Laboratory of Biochemical AnalysisCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao 266042China College of Chemical Engineering Qingdao University of Science and TechnologyQingdao 266042China

Using SiC nanowires(SiCNWs)as the substrate,reflux-annealing and electrodeposition-carbonization were sequentially applied to integrate SiC nanowires with magnetic Fe_(3)O_(4) nanoparticles and amorphous nitrogen-doped carbon(NC)for the fabrication of SiCNWs@Fe_(3)O_(4)@NC *** testing and characterization of this product provided valuable insights into the im-pact of structural and composition changes on its electromagnetic wave absorption *** optimized SiCNWs@Fe_(3)O_(4)@NC nanocomposite,which has 30wt%filler content and a corresponding thickness of 2.03 mm,demonstrates exceptional performance with the minimum reflection loss(RL_(min))of-53.69 dB at 11.04 GHz and effective absorption bandwidth(EAB)of 4.4 *** synergistic effects of the enhanced nanocomposite on electromagnetic wave absorption were thoroughly elucidated using the theories of multiple scattering,polarization relaxation,hysteresis loss,and eddy current ***,a multicomponent electromagnetic wave attenu-ation model was established,providing valuable insight into the design of novel absorbing materials and the enhancement of their absorp-tion *** research demonstrated the significant potential of the SiCNWs@Fe_(3)O_(4)@NC nanocomposite as a highly efficient electromagnetic wave-absorbing material with potential applications in various fields,such as stealth technology and microwave absorption.

关键词： electromagnetic attenuation mechanism multicomponent nanocomposite SiC nanowires structural design

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Distribution and mapping of temperate savanna in the sandy lands of eastern China

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Science China Earth Sciences 2025年第1期68卷 128-141页

作者： Xiaoya LI Feng wang Tao DUAN Kaijie yANG Bin yANG Chunmei wang Xin TIAN Qi LU Institute of Ecological Conservation and Restoration Institute of Desertification StudiesChinese Academy of ForestryBeijing100091China Institute of Desertification Institute of Desertification StudiesChinese Academy of ForestryBeijing100091China Institute of Great Green Wall Bayan Nur015200China satellite Application Centre for Ecology and Environment MEEBeijing100094China Institute of Microelectronics Chinese Academy of SciencesBeijing100029China Aerospace Information Research Institute Chinese Academy of SciencesBeijing100094China Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China

savannas are distributed globally across various *** perform a significant socioeconomic role in regulating net primary productivity and the terrestrial carbon *** to the high spatial heterogeneity induced by the mixed distribution of trees and grasses,current global land-cover classification maps often classify.savannas as forests or grasslands Temperate savannas in China cover a vast area,yet their spatial patterns and extent remain poorly *** study developed a novel remote sensing temperate savannas mapping method by integrating very high-resolution(VHR)unmanned aerial vehicle(UAV)and GF-6 satellite imagery based on the vegetation structure characteristics of temperate savannas using the FAO definition of *** and validation datasets were collected from VHR UAV imagery covering the main temperate savannah types with a ground area of 1818 *** fractional woody vegetation cover(FWVC)and fractional herbaceous vegetation cover(FHVC)in temperate savannas were estimated by integrating Classification and Regression Tree and Random Forest *** current distribution of temperate savannas in the Horqin and Otindag sandy Lands of Eastern China was mapped to a unit area of 0.5 *** root-mean-square error(RMSE)values for the FWVC and FHVC models were 10.69%and 11.67%,and the R^(2)values were 0.66 and 0.63,*** assessment indicated that the new temperate savanna map had high identification accuracy,with a Kappa coefficient of 0.70,overall accuracy of 0.88,and average accuracy of *** savannas in the sandy lands of eastern China were primarily distributed in the northern Horqin sandy Land the central and eastern regions of the Otindag sandy Land,and the transition zone from the southern slopes of the Greater Khingan Mountains to the plains,covering a total area of 3.27×10^(6)*** main savannah types were elm,oak/maple,and shrub *** savannas were widely distributed in the Otindag sandy Land a

关键词： Temperate savanna UAV imagery GF-6 Fractional woody vegetation cover Fractional herbaceous vegetation cover Machine learning

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Dynamic intelligent prediction approach for landslide displacement based on biological growth models and CNN-LSTM

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Journal of Mountain Science 2025年第1期22卷 71-88页

作者： wang Ziqian FANG Xiangwei ZHANG Wengang wang Luqi wang Kai CHEN Chao School of Civil Engineering Chongqing UniversityChongqing 400045China Nanjiang Hydro-geology and Engineering Geology Team of Chongqing Geology Mineral Bureau Chongqing 401147China China Coal Technology and Engineering Chongqing Design and Research Institute(Group)Co. Ltd.Chongqing 400016China

Influenced by complex external factors,the displacement-time curve of reservoir landslides demonstrates both short-term and long-term diversity and dynamic *** is difficult for existing methods,including Regression models and Neural network models,to perform multi-characteristic coupled displacement prediction because they fail to consider landslide creep *** paper integrates the creep characteristics of landslides with non-linear intelligent algorithms and proposes a dynamic intelligent landslide displacement prediction method based on a combination of the Biological Growth model(BG),Convolutional Neural Network(CNN),and Long ShortTerm Memory Network(LSTM).This prediction approach improves three different biological growth models,thereby effectively extracting landslide creep characteristic ***,it integrates external factors(rainfall and reservoir water level)to construct an internal and external comprehensive dataset for data augmentation,which is input into the improved CNN-LSTM ***,harnessing the robust feature extraction capabilities and spatial translation invariance of CNN,the model autonomously captures short-term local fluctuation characteristics of landslide displacement,and combines LSTM's efficient handling of long-term nonlinear temporal data to improve prediction *** evaluation of the Liangshuijing landslide in the Three Gorges Reservoir Area indicates that BG-CNN-LSTM exhibits high prediction accuracy,excellent generalization capabilities when dealing with various types of *** research provides an innovative approach to achieving the whole-process,realtime,high-precision displacement predictions for multicharacteristic coupled landslides.

关键词： Reservoir landslides Displacement prediction CNN LSTM Biological growth model

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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions

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Journal of Environmental Sciences 2025年第3期149卷 68-78页

作者： Qiang Zhang Xin Li Long yu Lingxiao wang Zhiqing Wen Pengchen Su Zhenli Sun Suhua wang School of Environmental Science and Engineering Guangdong University of Petrochemical TechnologyMaoming 525000China MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China

The presence of aluminum(Al^(3+))and fluoride(F^(−))ions in the environment can be harmful to ecosystems and human health,highlighting the need for accurate and efficient *** this paper,an innovative approach is presented that leverages the power of machine learning to enhance the accuracy and efficiency of fluorescence-based detection for sequential quantitative analysis of aluminum(Al^(3+))and fluoride(F^(−))ions in aqueous *** proposed method involves the synthesis of sulfur-functionalized carbon dots(C-dots)as fluorescence probes,with fluorescence enhancement upon interaction with Al^(3+)ions,achieving a detection limit of 4.2 nmol/***,in the presence of F^(−)ions,fluorescence is quenched,with a detection limit of 47.6 nmol/*** fingerprints of fluorescence images are extracted using a cross-platform computer vision library in Python,followed by data ***,the fingerprint data is subjected to cluster analysis using the K-means model from machine learning,and the average Silhouette Coefficient indicates excellent model ***,a regression analysis based on the principal component analysis method is employed to achieve more precise quantitative analysis of aluminum and fluoride *** results demonstrate that the developed model excels in terms of accuracy and *** groundbreaking model not only showcases exceptional performance but also addresses the urgent need for effective environmental monitoring and risk assessment,making it a valuable tool for safeguarding our ecosystems and public health.

关键词： Machine learning Aluminum ion detection Fluorine ion detection Fluorescence probe K-means model

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有机肥施用对全球农业土壤温室气体排放影响的Meta分析

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环境科学 2025年第1期46卷 148-161页

作者：撒青林郑健李子凡王燕兰州理工大学能源与动力工程学院兰州730050 甘肃省太阳能与生物质互补多联供系统重点实验室兰州730050 西北低碳城镇支撑技术省部共建协同创新中心兰州730050

为了探明有机肥施用对农业土壤温室气体排放量的直接和间接影响,选用了公开发表的129篇相关文献,共1228组数据,采用Meta分析方法分析了有机肥对全球农业土壤温室气体排放量的影响及其影响因素,进一步构建结构方程模型(SEM)量化和确定因... 详细信息

为了探明有机肥施用对农业土壤温室气体排放量的直接和间接影响,选用了公开发表的129篇相关文献,共1228组数据,采用Meta分析方法分析了有机肥对全球农业土壤温室气体排放量的影响及其影响因素,进一步构建结构方程模型(SEM)量化和确定因素之间的因果关系.结果表明,总体上,与不施肥和施用无机肥相比,有机肥替代施用分别增加了70.73%(lnR:0.53,95%CI:0.45~0.62)和19.24%(ln R:0.18,95%CI:0.13~0.22)的CO_(2)排放、52.58%(lnR:0.42,95%CI:0.26~0.59)和27.72%(lnR:0.24,95%CI:0.15~0.34)的CH_(4)排放及208.14%(ln R:1.13,95%CI:1.04~1.21)和-3.66%(lnR:-0.04,95%CI:-0.11~0.04)的N_(2)O排放;有机肥施用下,旱地系统对CO_(2)和N_(2)O排放量效应均影响最大,水稻系统对CH_(4)排放量效应影响最显著;粉土的CO_(2)平均增长率最高,砂土对N_(2)O和CH_(4)平均增长率影响较大;相比商品有机肥和沼液,秸秆替代下CO_(2)和N_(2)O平均增长率极大,农家肥替代对土壤CH_(4)排放量有显著促进作用;温室气体排放量在氮肥+有机肥处理下显著增加.SEM表明年均气温(MAT)是CO_(2)和N_(2)O排放量的最重要环境决定因子,其中土壤CO_(2)排放量与MAT呈显著正相关(P<0.01),土壤N_(2)O排放量与MAT存在负相关关系;旱地和草地及水稻系统中CH_(4)排放量的主要环境决定因素分别为年降水量(MAP)及年均气温(MAT),均与其呈显著正相关关系(P<0.05).研究可为优化施肥管理、减缓农田温室气体排放等提供科学依据.

关键词：温室气体排放土壤有机肥 Meta分析结构方程模型(SEM) 全球

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调整优化农业结构,加快饲草产业发展

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草业学报 2025年第2期34卷 211-220页

作者：王加亭撒多文邵麟惠王宗礼全国畜牧总站北京100125 中国农业科学院草原研究所内蒙古呼和浩特010010

随着城乡居民生活水平的不断提高,农产品的消费结构正逐步转变,肉类食物的比重逐年增加,口粮作物占比逐步减少。从农业供给侧结构性改革的历史背景出发,回顾了农业供给侧结构性改革前后,粮食生产、饲草种植、畜牧养殖和畜产品供给的变化... 详细信息

随着城乡居民生活水平的不断提高,农产品的消费结构正逐步转变,肉类食物的比重逐年增加,口粮作物占比逐步减少。从农业供给侧结构性改革的历史背景出发,回顾了农业供给侧结构性改革前后,粮食生产、饲草种植、畜牧养殖和畜产品供给的变化,总结了粮改饲政策在农业供给侧结构性改革中的成效,解读草食畜牧业发展规划和政策,从优化“粮―经―饲”三元结构,增饲草、增牛羊以及提升饲草科技支撑水平等方面展望了饲草产业发展的前景,为我国草牧业高质量发展和农牧业现代化建设政策研究提供了理论支撑。

关键词：饲草产业农业供给侧结构性改革农业结构粮改饲

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Potential preservative mechanisms of cardiac rehabilitation pathways on endothelial function in coronary heart disease

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Science China(Life Sciences) 2025年第1期68卷 158-175页

作者： Wen-Tao Sun Jian-yong Du Jia wang yi-Long wang Er-Dan Dong Research Center for Cardiopulmonary Rehabilitation University of Health and Rehabilitation Sciences Qingdao Hospital(Qingdao Municipal Hospital)Schoolof Health and Life SciencesUniversityof Health and Rehabilitation SciencesQingdao 266071China Department of Cardiology and Instituteof Vascular Medicine Peking University Third HospitalTheInstituteofCardiovascular SciencesPeking UniversityState Key Laboratoryof Vascular Homeostasisand RemodelingPeking UniversityBeijing 100191China

Cardiac rehabilitation,a comprehensive exercise-based lifestyle and medical management,is effective in decreasing morbidity and improving life quality in patients with coronary heart *** function,an irreplaceable indicator in coronary heart disease progression,is measured by various methods in traditional cardiac rehabilitation pathways,including medicinal treatment,aerobic training,and smoking ***,studies on the effect of some emerging cardiac rehabilitation programs on endothelial function are *** article briefly reviewed the endothelium-beneficial effects of different cardiac rehabilitation pathways,including exercise training,lifestyle modification and psychological intervention in patients with coronary heart disease,and related experimental models,and summarized both uncovered and potential cellular and molecular mechanisms of the beneficial roles of various cardiac rehabilitation pathways on endothelial *** exercise training and some lifestyle interventions,the enhanced bioavailability of nitric oxide,increased circulating endothelial progenitor cells(EPCs),and decreased oxidative stress are major contributors to preventing endothelial dysfunction in coronary heart ***,the preservation of endothelial-dependent hyperpolarizing factors and inflammatory suppression play *** the one hand,to develop more endothelium-protective rehabilitation methods in coronary heart disease,adequately designed and sized randomized multicenter clinical trials should be advanced using standardized cardiac rehabilitation programs and existing assessment *** the other hand,additional studies using suitable experimental models are warranted to elucidate the relationship between some new interventions and endothelial protection in both macro-and microvasculature.

关键词： cardiac rehabilitation coronary heart disease endothelial function

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