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Coupling Multi-Source Satellite Remote Sensing and Meteorological Data to Discriminate Yellow Rust and Fusarium Head Blight in Winter Wheat

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Phyton-International Journal of Experimental botany 2025年第2期94卷 421-440页

作者： Qi Sheng Huiqin Ma Jingcheng Zhang Zhiqin Gui Wenjiang Huang Dongmei chen bo Wang School of Automation Hangzhou Dianzi UniversityHangzhou310018China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing100094China Key Laboratory of Earth Observation of Hainan Province Hainan Research InstituteAerospace Information Research InstituteChinese Academy of SciencesSanya572029China

Yellow rust(Puccinia striiformis ***,YR)and fusarium head blight(Fusarium graminearum,FHB)are the two main diseases affecting wheat in the main grain-producing areas of East China,which is common for the two diseases to appear simultaneously in some main production *** is necessary to discriminate wheat YR and FHB at the regional scale to accurately locate the disease in space,conduct detailed disease severity monitoring,and scientific *** images on different dates were acquired from Sentinel-2,Landsat-8,and Gaofen-1 during the critical period of winter wheat,and 22 remote sensing features that characterize the wheat growth status were then ***,6 meteorological parameters that reflect the wheat phenological information were also obtained by combining the site meteorological data and spatial interpolation ***,the principal components(PCs)of comprehensive remote sensing and meteorological features were extracted with principal component analysis(PCA).The PCs-based discrimination models were established to map YR and FHB damage using the random forest(RF)and backpropagation neural network(BPNN).The models’performance was verified based on the disease field truth data(57 plots during the filling period)and 5-fold *** results revealed that the PCs obtained after PCA dimensionality reduction outperformed the initial features(IFs)from remote sensing and meteorology in discriminating between the two *** to the IFs,the average area under the curve for both micro-average and macro-average ROC curves increased by 0.07 in the PCs-based RF models and increased by 0.16 and 0.13,respectively,in the PCs-based BPNN ***,the PCs-based BPNN discrimination model emerged as the most effective,achieving an overall accuracy of 83.9%.Our proposed discrimination model for wheat YR and FHB,coupled with multi-source remote sensing images and meteorological data,overcomes the limitations of a single-se

关键词： Winter wheat yellow rust(YR) fusarium head blight(FHB) discrimination remote sensing and meteorology

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一种具有可控数值阻尼的无条件稳定半显式积分算法

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哈尔滨工业大学学报 2025年第2期57卷 113-121页

作者：傅博张付泰张清凯陈瑾长安大学建筑工程学院西安710061

结构模型经过有限元方法空间离散化处理之后,可能引入虚假的高频分量,这部分高频分量会对结构的动力响应求解带来不利影响。为此,需要引入算法的数值阻尼有效地抑制这部分虚假的高频分量。使用半显式算法格式,通过匹配隐式ρ_(∞)-Bath... 详细信息

结构模型经过有限元方法空间离散化处理之后,可能引入虚假的高频分量,这部分高频分量会对结构的动力响应求解带来不利影响。为此,需要引入算法的数值阻尼有效地抑制这部分虚假的高频分量。使用半显式算法格式,通过匹配隐式ρ_(∞)-Bathe算法放大矩阵的特征方程系数,提出一种具有可控数值阻尼的无条件稳定半显式积分算法,记为NSE(New Semi-Explicit)-ρ_(∞)算法,新算法通过两个自由参数ρ_(∞)和γ控制算法的数值阻尼,并且无需对结构运动方程进行加权处理。对新算法的稳定性、精度、周期延长和振幅衰减等数值特性进行分析,结果表明,新算法对于线弹性体系和非线性刚度软化体系均为无条件稳定。通过具有代表性的数值算例,将新算法与两种具有可控数值阻尼的无条件稳定显式积分算法进行对比,证明新算法能够更加有效地抑制虚假高频分量。

关键词：积分算法显式稳定数值阻尼结构动力学

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Machine learning-based models for advanced fibrosis in nonalcoholic steatohepatitis patients:A cohort study

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World Journal of Gastroenterology 2025年第9期31卷 30-42页

作者： Fei-Xiang Xiong Lei Sun Xue-Jie Zhang Jia-Liang chen Yang Zhou Xiao-Min Ji Pei-Pei Meng Tong Wu Xian-bo Wang Yi-Xin Hou Center of Integrative Medicine Beijing Ditan HospitalCapital Medical UniversityBeijing 100015China Department of Pathology Beijing Ditan HospitalBeijing 100015China

BACKGROUND The global prevalence of non-alcoholic steatohepatitis(NASH)and its associated risk of adverse outcomes,particularly in patients with advanced liver fibrosis,underscores the importance of early and accurate *** To develop a machine learning-based diagnostic model for advanced liver fibrosis in NASH *** A total of 749 patients who underwent liver biopsy at Beijing Ditan Hospital,Capital Medical University,between January 2010 and January 2020 were *** were randomly divided into training(n=522)and validation(n=224)*** machine learning models were applied to predict advanced liver fibrosis,with feature selection based on Shapley Additive Explanations(SHAP).The diagnostic performance of these models was compared to traditional scores such as the aspartate aminotransferase to platelet ratio index(APRI)and fibrosis index based on the 4 factors(FIB-4),using metrics including the area under the receiver operating characteristic curve(AUROC),decision curve analysis(DCA),and calibration *** The Extreme Gradient boosting(XGboost)model outperformed all other machine learning models,achieving an AUROC of 0.934(95%CI:0.914-0.955)in the training cohort and 0.917(95%CI:0.880-0.953)in the validation cohort(Pboost model also demonstrated superior clinical utility,as evidenced by DCA and calibration curve analysis in both *** The XGboost model provides a highly accurate,non-invasive diagnosis of advanced liver fibrosis in NASH patients,outperforming traditional *** online tool based on this model has been developed to assist clinicians in evaluating the risk of advanced liver fibrosis.

关键词： Machine learning Advanced fibrosis Non-alcoholic steatohepatitis Extreme Gradient boosting Non-invasive

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Atmospheric CO_(2) Removal Efficiency through Enhanced Silicate Weathering in Croplands:A Review with Emphasis on the Contribution of Fungi

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Journal of Earth Science 2025年第1期36卷 197-211页

作者： Zi-bo Li Gaojun Li Jonathan M.Adams Dong-Xing Guan Liang Zhao Rongjun Bian Qing Hu Xiancai Lu Junfeng Ji Jun chen State Key Laboratory of Palaeobiology and Stratigraphy Nanjing Institute of Geology and PalaeontologyChinese Academy of SciencesNanjing 210008China Key Laboratory of Surficial Geochemistry Ministry of EducationSchool of Earth Sciences and Engineering and Frontiers Science Center for Critical Earth Material CyclingNanjing UniversityNanjing 210023China School of Geography and Ocean Science Nanjing UniversityNanjing 210023China Institute of Soil and Water Resources and Environmental Science College of Environmental and Resource SciencesZhejiang UniversityHangzhou 310058China Institute of Resource Ecosystem and Environment of AgricultureNanjing Agricultural UniversityNanjing 210095China Xiong'an Institute of Innovation Chinese Academy of SciencesXiong'an 071700China

Enhanced silicate weathering(ESW)is a geoengineering method aimed at accelerating carbon dioxide(CO_(2))removal(CDR)from atmosphere by increasing the weathering flux of silicate rocks and *** has emerged as a promising strategy for *** studies underscore ESW’s substantial potential for CDR and its diverse benefits for crops when applied to ***,the well-known significant discrepancies in silicate weathering rates between laboratory and field conditions introduce uncertainty in CDR through *** compiling data from recent literature,we calculated and compared CDR efficiency(t CO_(2)t^(-1)_(silicate)ha^(-1)y^(-1))observed in mesocosm experiments and field *** findings indicate that CDR efficiencies in field trials are comparable to or exceeding that observed in mesocosm experiments by 1-3 orders of magnitude,particularly evident with wollastonite *** hierarchy of CDR efficiency among silicates suitable for ESW is ranked as follows:olivine≥wollastonite>basalt>albite≥*** suggest the potential role of biota,especially fungi,in contributing to higher CDR efficiencies observed in field trials compared to mesocosm *** further emphasize introducing fungi known for their effectiveness in silicate weathering could potentially enhance CDR efficiency through ESW in *** before implementing fungal-facilitated ESW,three key questions need addressing:(i)How does the community of introduced fungi evolve over time?(ii)What is the long-term trajectory of CDR efficiency following fungal introduction?and(iii)Could fungal introduction lead to organic matter oxidation,resulting in elevated CO_(2)emissions?These investigations are crucial for optimizing the efficiency and sustainability of fungal-facilitated ESW strategy.

关键词： enhanced weathering carbon dioxide removal efficiency fungi weathering rate altered surface layers

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Nonlinear optical oscillation in on-chip erbium-doped lithium niobate microring resonators

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Science China(Physics,Mechanics & Astronomy) 2025年第04期Mechanics & Astronomy) .卷 116-122页

作者： Ru Zhang Xianhong Zeng Xueshan Zheng chen Yang Dahuai Zheng Hongde Liu Xuanyi Yu Feng Gao Fang bo Yongfa Kong Guoquan Zhang Jingjun Xu School of Physics and Information Engineering Shanxi Normal University MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Institute of Applied Physics and School of Physics Nankai University

Erbium-doped lithium niobate(LN) on insulator active devices, such as lasers and amplifiers, have received increasing attention. The nonlinear optical oscillation in them at high power destabilizes the output of signals and cannot be ignored. In this study, we reported the experimental observation and theoretical analysis of the nonlinear optical oscillation in erbiumdoped lithium niobate-on-insulator(LNOI) microring resonators while scanning the pump wavelength. Under the same pump power, the number of oscillation cycles decreases when the wavelength scanning rate increases from 10.6 to 33.9 nm/μs. A theoretical model based on the competition between the thermo-optic nonlinearity and the photorefractive effect was introduced to interpret the oscillation in transmission. A series of parameters were obtained from the comparison between the theoretical and experimental results; some of them, the relaxation rates of the thermal and the electric field, are significantly different from those of undoped LNOI microcavities. This work provides a valuable reference for future applications of active LNOI devices.

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Homologous CoS2 interface with directed electron transfer and strong chloridion repulsion for efficient seawater oxidation

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Science China Chemistry 2025年

作者： Yuan Tian Jiang-bo chen Jie Ying Ge Tian Yu-Xuan Xiao Yi Lu Si-Ming Wu Wei Geng Ling Shen Xiao-Yu Yang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing and School of Materials Science and Engineering and Shenzhen Research Institute & Laoshan Laboratory Wuhan University of Technology School of Chemical Engineering and Technology Sun Yat-Sen University National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies Foshan Xianhu Laboratory

Seawater electrolysis is a highly promising method to produce high energy density hydrogen,especially in dry areas that have scarce freshwater ***,application of seawater electrolysis is confronted by two major problems associated with catalysts employed for the anodic oxygen evolution reaction （OER） including the competitive hypochlorite evolution reaction（HCER） and strong chloridion （Cl–） triggered *** studies aimed at overcoming these problems,a facile method has been developed to synthesize a homologous CoS2heterojunction as an OER *** to a difference in work functions at the interface and increased electron density,this material has directed electron transfer and strong chloridion repulsion properties,*** have shown that CoS2achieves low overpotentials of 289 and 322 mV at 10 mA cm-2current density in respective alkaline （1 M KOH） and alkaline simulated seawater ***,the outstanding stability of CoS2is reflected in a negligible decline in activity during promotion of the OER for 100 *** of density functional theory calculations reveal that the homologous CoS2heterojunction promotes directed electron transport for optimizing adsorption/desorption of reactive species and heightens the Cl-adsorption energy for strongly repulsing Cl-,phenomena that enhance OER performance in alkaline simulated seawater.

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Prediction and stratification for the surgical adverse events after minimally invasive esophagectomy:A two-center retrospective study

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World Journal of Gastroenterology 2025年第3期31卷 50-61页

作者： Qi-Hong Zhong Jiang-Shan Huang Fei-Long Guo Jing-Yu Wu Mao-Xiu Yuan Jia-Fu Zhu Wen-Wei Lin Sui chen Zhen-Yang Zhang Jiang-bo Lin Department of Thoracic Surgery Fujian Medical University Union HospitalFuzhou 350001Fujian ProvinceChina The Graduate School Fujian Medical UniversityFuzhou 350001Fujian ProvinceChina Department of Thoracic Surgery Affiliated Hospital of Jinggangshan UniversityJi’an 343000Jiangxi ProvinceChina

BACKGROUND Minimally invasive esophagectomy(MIE)is a widely accepted treatment for esophageal cancer,yet it is associated with a significant risk of surgical adverse events(SAEs),which can compromise patient recovery and long-term *** preoperative identification of high-risk patients is critical for improving *** To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with *** This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February *** were separated into a train set(n=549)and a validation set(n=198).After screening by least absolute shrinkage and selection operator regression,multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs.A risk stratification model was constructed and validated to predict the probability of *** SAEs occurred in 10.2%of patients in train set and 13.6%in the validation *** with SAE had significantly higher complication rate and a longer hospital stay after *** key independent risk factors identified included chronic obstructive pulmonary disease,a history of alcohol consumption,low forced expiratory volume in the first second,and low albumin *** stratification model has excellent prediction accuracy,with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation *** The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE,facilitating targeted preoperative interventions and improving perioperative management.

关键词： Surgical adverse events Minimally invasive esophagectomy Esophageal cancer Stratification model Perioperative management

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An Efficient Anti-Quantum Blind Signature with Forward Security for Blockchain-Enabled Internet of Medical Things

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Computers, Materials & Continua 2025年第2期82卷 2293-2309页

作者： Gang Xu Xinyu Fan Xiu-bo chen Xin Liu Zongpeng Li Yanhui Mao Kejia Zhang School of Information Science and Technology North China University of TechnologyBeijing100144China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China School of Mathematical Science Heilongjiang UniversityHarbin150080China School of Digtial and Intelligence Industry Inner Mongolia University of Science and TechnologyBaotou014010China Institute for Network Sciences and Cyberspace Tsinghua UniversityBeijing100084China Yunnan Key Laboratory of Blockchain Application Technology Kunming650233China Yunnan Innovation Institute of Beihang University Kunming650233China

Blockchain-enabled Internet of Medical Things (BIoMT) has attracted significant attention from academia and healthcare organizations. However, the large amount of medical data involved in BIoMT has also raised concerns about data security and personal privacy protection. To alleviate these concerns, blind signature technology has emerged as an effective method to solve blindness and unforgeability. Unfortunately, most existing blind signature schemes suffer from the security risk of key leakage. In addition, traditional blind signature schemes are also vulnerable to quantum computing attacks. Therefore, it remains a crucial and ongoing challenge to explore the construction of key-secure, quantum-resistant blind signatures. In this paper, we introduce lattice-based forward-secure blind signature (LFSBS), a lattice-based forward-secure blind signature scheme for medical privacy preservation in BIoMT. LFSBS achieves forward security by constructing a key evolution mechanism using a binary tree structure. This mechanism ensures that even if future encryption keys are leaked, past data can still remain secure. Meanwhile, LFSBS realizes post-quantum security based on the hardness assumption of small integer solution (SIS), making it resistant to potential quantum computing attacks. In addition, we formally define and prove the security of LFSBS in a random oracle model, including blindness and forward-secure unforgeability. Comprehensive performance evaluation shows that LFSBS performs well in terms of computational overhead, with a reduction of 22%–73% compared to previous schemes.

关键词： Internet of Things blockchain forward-secure blind signature

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深部煤层气水平井定向射孔压裂水力裂缝扩展特征

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石油实验地质 2025年第1期47卷 153-162页

作者：黄树新李松陈博中国石化华东油气分公司采油气工程服务中心南京210004 中国地质大学(北京)能源学院北京100083

深部煤层气资源禀赋特征好,勘探开发潜力大,是国家天然气“增储上产”发展战略的重要现实基础。水平井定向射孔压裂作为深部煤层气重要的增渗改造技术应用广泛,而地质—工程因素作用下的水力裂缝起裂—扩展机制认识尚不明确。为了探究... 详细信息

深部煤层气资源禀赋特征好,勘探开发潜力大,是国家天然气“增储上产”发展战略的重要现实基础。水平井定向射孔压裂作为深部煤层气重要的增渗改造技术应用广泛,而地质—工程因素作用下的水力裂缝起裂—扩展机制认识尚不明确。为了探究深部煤岩定向射孔压裂特征,采用三维离散格子模拟算法,建立了深部煤层水平井定向射孔压裂数值模型,研究地质参数和射孔参数对压裂改造难度、裂缝形态和压裂改造面积的影响。结果表明:随着弹性模量的增大,煤岩破裂压力增加,改造面积和改造面积差异系数逐渐增大,且有利于长—窄缝的形成;水平应力差的增大导致不同水力裂缝间的交互作用减弱,改造面积减小,改造面积差异系数和裂缝开度增大。此外,射孔深度和射孔直径的增加将显著降低深部煤岩的破裂压力,射孔深度的增大将大幅提升改造面积,而射孔直径的增加造成改造面积减小,且改造面积差异系数也逐渐增大;射孔密度对破裂压力的影响不显著,而与改造面积成正相关关系。针对煤体结构完整的煤岩进行压裂改造,适当提升射孔深度和射孔密度,降低射孔直径,可以取得较好的效果。

关键词：三维离散格子模拟算法地质参数射孔参数定向射孔压裂水力裂缝深部煤层气

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Deciphering fungal metabolon coupling tandem inverse-electrondemand Diels-Alder reaction and semipinacol rearrangement for the biosynthesis of spiro polycyclic alkaloids

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Science China Chemistry 2025年第1期68卷 288-296页

作者： Shuai Liu Wen-Qiang Xu Ying-Tong Di Man-cheng Tang Ding-Kang chen Ming-Ming Cao Yao-Wen Chang Hong-Yu Tang Chun-Mao Yuan Jun-bo Yang Zhi-Li Zuo Han Guo Zi-Fei Xu Ying Zeng Yun-Dong Wu Xiao-Jiang Hao Key Laboratory of Phytochemistry and Natural Medicines(Chinese Academy of Sciences) Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China Lab of Computational Chemistry and Drug Design State Key Laboratory of Chemical OncogenomicsPeking University Shenzhen Graduate SchoolShenzhen 518055China Shenzhen Bay Laboratory Shenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Microbial Metabolism School of Life Sciences&BiotechnologyShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Functions and Applications of Medicinal Plants Guizhou Medical UniversityGuiyang 550014China Molecular Biology Experimental Center Germplasm Bank of Wild Species in Southwest ChinaKunming Institute of BotanyChinese Academy of SciencesKunming 650201China Yunnan Key Laboratory for Wild Plant Resources Kunming Institute of BotanyChinese Academy of SciencesKunming 650201China Research Unit of Chemical Biology of Natural Anti-Virus Products Chinese Academy of Medical SciencesBeijing 100730China

In the intricate process of natural product biosynthesis,a metabolon can enhance metabolic flux by associating sequential enzymes.A fungal metabolon,comprising of flavin-dependent monooxygenase Spe F and P450 monooxygenase Spe G,is identified in the biosynthesis of spiro polycyclic alkaloids(+)-notoamide B and its diastereomer(+)-versicolamide *** notoamide E as a substance,Spe F/Spe G metabolon can control the stereoselectivity of its 2,3-epoxidation,followed by hydrogen atom ion at C-17 to generate reactive epoxide tau-m A with dienyl iminium ***,(+)-notoamide B and(+)-versicolamide B are produced via tandem nonenzymatic inverse-electron-demand Diels-Alder reaction and semipinacol *** provides the first example of metabolon in the biosynthesis of spiro-prenylated indole alkaloids.

关键词： metabolon Diels-Alder reaction semipinacol rearrangement biosynthesis notoamides spiro polycyclic alkaloids

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