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Interaction between systemic iron parameters and left ventricular structure and function in the preserved ejection fraction population:a two-sample bidirectional Mendelian randomization study

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Journal of Geriatric Cardiology 2024年第1期21卷 64-80页

作者： Xiong-bin ma Yong-Ming LIU Yan-Lin LV Lin QIAN The First Clinical Medical College of Lanzhou University LanzhouGansuChina Geriatric Cardiovascular Department and Gansu Clinical Research Center for Geriatric Diseases First Hospital of Lanzhou UniversityGansuChina

BACKGROUND Left ventricular(LV)remodeling and diastolic function in people with heart failure(HF)are correlated with iron status;however,the causality is *** Mendelian randomization(MR)study investigated the bidirectional causal relationship between systemic iron parameters and LV structure and function in a preserved ejection fraction *** Transferrin saturation(TSAT),total iron binding capacity(TIBC),and serum iron and ferritin levels were extracted as instrumental variables for iron parameters from meta-analyses of public genome-wide association *** without myocardial infarction history,HF,or LV ejection fraction(LVEF)magnetic Resonance Imaging Study constituted the outcome *** dataset included LV end-diastolic volume,LV endsystolic volume,LV mass(LVM),and LVM-to-end-diastolic volume ratio(LVMVR).We used a two-sample bidirectional MR study with inverse variance weighting(IVW)as the primary analysis method and estimation methods using different algorithms to improve the robustness of the *** In the IVW analysis,one standard deviation(SD)increased in TSAT significantly correlated with decreased LVMVR(β=-0.1365;95%confidence interval[CI]:-0.2092 to-0.0638;P=0.0002)after Bonferroni ***,no significant relationships were observed between other iron and LV *** Bonferroni correction,reverse MR analysis showed that one SD increase in LVEF significantly correlated with decreased TSAT(β=-0.0699;95%CI:-0.1087 to-0.0311;P=0.0004).No heterogeneity or pleiotropic effects evidence was observed in the *** We demonstrated a causal relationship between TSAT and LV remodeling and function in a preserved ejection fraction population.

关键词： fraction function parameters

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STGNN-LMR:A Spatial–Temporal Graph Neural Network Approach Based on sEMG Lower Limb Motion Recognition

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Journal of Bionic Engineering 2024年第1期21卷 256-269页

作者： Weifan mao bin ma Zhao Li Jianxing Zhang Yizhou Lu Zhuting Yu Feng Zhang Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China University of Chinese Academy of Sciences Beijing 101408China University of Science and Technology of China Hefei 230026China Shanghai Zhongyan Jiuyi Technology Co. Ltd.Shanghai 201821China Academy of Military Science Bejing 100091China

Lower limb motion recognition techniques commonly employ Surface Electromyographic Signal(sEMG)as input and apply a machine learning classifier or Back Propagation Neural Network(BPNN)for ***,this artificial feature engineering technique is not generalizable to similar tasks and is heavily reliant on the researcher’s subject *** contrast,neural networks such as Convolutional Neural Network(CNN)and Long Short-term Memory Neural Network(LSTM)can automatically extract features,providing a more generalized and adaptable approach to lower limb motion *** this approach overcomes the limitations of human feature engineering,it may ignore the potential correlation among the sEMG *** paper proposes a spatial–temporal graph neural network model,STGNN-LMR,designed to address the problem of recognizing lower limb motion from multi-channel ***-LMR transforms multi-channel sEMG into a graph structure and uses graph learning to model spatial–temporal *** 8-channel sEMG dataset is constructed for the experimental stage,and the results show that the STGNN-LMR model achieves a recognition accuracy of 99.71%.Moreover,this paper simulates two unexpected scenarios,including sEMG sensors affected by sweat noise and sudden failure,and evaluates the testing results using hypothesis *** to the experimental results,the STGNN-LMR model exhibits a significant advantage over the control models in noise scenarios and failure *** experimental results confirm the effectiveness of the STGNN-LMR model for addressing the challenges associated with sEMG-based lower limb motion recognition in practical scenarios.

关键词： Lower limb motion recognition Exoskeleton sEMG.Graph neural network Noise Sensor failure

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Application of deep learning for informatics aided design of electrode materials in metal-ion batteries

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Green Energy & Environment 2024年第5期9卷 877-889页

作者： bin ma Lisheng Zhang Wentao Wang Hanqing Yu Xianbin Yang Siyan Chen Huizhi Wang Xinhua Liu School of Transportation Science and Engineering Beihang UniversityBeijing102206China College of Automotive Engineering Jilin UniversityChangchun130022China Department of Mechanical Engineering Imperial College LondonLondonSW72BXUK

To develop emerging electrode materials and improve the performances of batteries,the machine learning techniques can provide insights to discover,design and develop battery new materials in high-throughput *** this paper,two deep learning models are developed and trained with two feature groups extracted from the materials Project datasets to predict the battery electrochemical performances including average voltage,speciﬁc capacity and speciﬁc *** deep learning models are trained with the multilayer perceptron as the *** Bayesian optimization and Monte Carlo methods are applied to improve the prediction accuracy of *** on 10 types of ion batteries,the correlation coefﬁcients are maintained above 0.9 compared to DFT calculation results and the mean absolute error of the prediction results for voltages of two models can reach 0.41 V and 0.20 V,*** electrochemical performance prediction times for the two trained models on thousands of batteries are only 72.9 ms and 75.7 ***,the two deep learning models are applied to approach the screening of emerging electrode materials for sodium-ion and potassium-ion *** work can contribute to a high-throughput computational method to accelerate the rational and fast materials discovery and design.

关键词： Cathode materials material design Electrochemical performance prediction Deep learning Metal-ion batteries

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Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network

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Chinese Journal of Electronics 2024年第3期33卷 657-671页

作者： Hao WANG Jinwei WANG Xuelong HU bingtao HU Qilin YIN Xiangyang LUO bin ma Jinsheng SUN Department of Automation Nanjing University of Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Department of Computer and Software Nanjing University of Information Science and Technology School of management Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University State Key Laboratory of mathematical Engineering and Advanced Computing Qilu University of Technology

Detection of color images that have undergone double compression is a critical aspect of digital image *** the existence of various methods capable of detecting double Joint Photographic Experts Group(JPEG) compression,they are unable to address the issue of mixed double compression resulting from the use of different compression *** particular,the implementation of Joint Photographic Experts Group 2000(JPEG2000)as the secondary compression standard can result in a decline or complete loss of performance in existing *** tackle this challenge of JPEG+JPEG2000 compression,a detection method based on quaternion convolutional neural networks(QCNN) is *** QCNN processes the data as a quaternion,transforming the components of a traditional convolutional neural network(CNN) into a quaternion *** relationships between the color channels of the image are preserved,and the utilization of color information is ***,the method includes a feature conversion module that converts the extracted features into quaternion statistical features,thereby amplifying the evidence of double *** results indicate that the proposed QCNN-based method improves,on average,by 27% compared to existing methods in the detection of JPEG+JPEG2000 compression.

关键词： Image coding Image color analysis Quaternions Forensics Transform coding Color Feature extraction

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Two ABCI family transporters,OsABCI15 and OsABCI16,are involved in grain-filling in rice

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Journal of Genetics and Genomics 2024年第5期51卷 492-506页

作者： bin ma Xiubiao Cao Xiaoyuan Li Zhong Bian Qi-Qi Zhang Zijun Fang Jiyun Liu Qun Li Qiaoquan Liu Lin Zhang Zuhua He Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Zhongshan Biological Breeding Laboratory/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and Physiology Agricultural College of Yangzhou UniversityYangzhouJiangsu 225009China Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops Jiangsu Key Laboratory of Crop Genetics and PhysiologyYangzhou UniversityYangzhouJiangsu 225009China National Key Laboratory of Plant Molecular Genetics CAS Center for Excellence in Molecular Plant SciencesInstitute of Plant Physiology&EcologyChinese Academy of SciencesShanghai 200032China Institute of Biotechnology Hangzhou Academy of Agricultural SciencesHangzhouZhejiang 310024China Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education Yangzhou UniversityYangzhouJiangsu 225009China

Seed development is critical for plant reproduction and crop yield,with panicle seed-setting rate,grain-filling,and grain weight being key seed characteristics for yield ***,few genes are known to regulate grain ***,we identify two adenosine triphosphate(ATP)-binding cassette(ABC)I-type transporter genes,OsABCI15 and OsABCI16,involved in rice *** genes are highly expressed in developing seeds,and their proteins are localized to the plasma membrane and ***,knockout of OsABCI15 and OsABCI16 results in a significant reduction in seed-setting rate,caused predominantly by the severe empty pericarp phenotype,which differs from the previously reported low seed-setting phenotype resulting from failed *** analysis indicates that OsABCI15 and OsABCI16 participate in ion homeostasis and likely export ions between filial tissues and maternal tissues during grain ***,overexpression of OsABCI15 and OsABCI16 enhances the seed-setting rate and grain yield in transgenic plants and decreases ion accumulation in brown ***,the OsABCI15/16 orthologues in maize exhibit a similar role in kernel development,as demonstrated by their disruption in transgenic ***,ourﬁndings reveal the important roles of two ABC transporters in cereal grain filling,highlighting their value in crop yield improvement.

关键词： ABC transporters Rice Grain filling Ion homeostasis Grain yield

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Damage characteristics of Cu−Cr−Zr alloy rail of electromagnetic railgun after simulated launch

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Transactions of Nonferrous Metals Society of China 2024年第8期34卷 2589-2604页

作者： Ke-chang SHEN Qing-tao GONG Zhong-yu SUN Hong-tu SUN bin-jie ma Wei-min WANG Ulsan Ship and Ocean College Ludong UniversityYantai 264025China Key Laboratory for Liquid-Solid Structural Evolution and Processing of materials Ministry of EducationSchool of Materials Science and EngineeringShandong UniversityJinan 250061China

The damage characteristics of different speed sections of Cu−Cr−Zr alloy rail after simulated launch were *** microstructure,morphologies and properties of samples were investigated by using XRD,XPS,EBSD,SEM,hardness test,electrochemical test and DSC *** was found that deposition layers were formed on the surfaces of the simulated launch *** thickness and surface roughness of these deposition layers increased with increasing the heat effect,suggesting a launch speed dependent damage degree of the arc *** hardness variation of samples is attributed to the effects of the deposition layer and deformation *** surface deposition layer affects corrosion resistance and crystalline characteristics,leading to changes in subsequent service ***,the surface texture and plastic deformation ability of the samples are related to the recrystallization degree and deformation grain amount.

关键词： Cu−Cr−Zr alloy electromagnetic railgun arc ablation microstructure performance

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Reshaping the active pocket of an aldo-keto reductase to enhance its detoxification activity towards 3-keto-deoxynivalenol

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Food Science and Human Wellness 2024年

作者： Jiafeng Niu bin ma Hao Zhu Huawei Liu Haizhen Zhao Xiaomei Bie Fengxia Lu Ping Zhu College of Food Science and Technology， Nanjing Agricultural University State Key Laboratory of Desert and Oasis Ecology， Xinjiang Institute of Ecology and Geography， Chinese Academy of Sciences

Deoxynivalenol （DON）， the most common mycotoxin in the world， poses serious health hazards to both humans and animals and causes significant economic losses to the food and feed industry. An intriguing method for DON detoxification involves enzymatic cascade catalysis by dehydrogenase （DADH） and aldo-keto reductase （AKR13B3）. However， the poor catalytic activity of AKR13B3 has limited its usefulness. Here， structure-guided steric hindrance engineering， computer-assisted protein engineering， and combinatorial mutagenesis were carried out to increase the catalytic efficiency of AKR13B3. The best mutant in this project was M28S/S65V， which outperformed wild-type AKR13B3 in terms of catalytic efficiency (kcat/Km) and specific activity by factors of 45.08 and 43.11， respectively. Kinetic parameter determination revealed that the enhanced catalytic efficiency of M28S/S65V toward 3-keto-DON was attributed to the decreased Kmand increased kcatvalues. Moreover， the engineered enzyme was applied to degrade DON in contaminated corn steep liquor， for a 90.62% removal rate. Structure-based computational analysis provided insights into the enhanced catalytic efficiency of M28S/S65V， which was attributed to the enlarged substrate-binding pocket and reshaped pocket with a favorable hydrophilic attack distance. The results provide a reference for improving the catalytic activity of an enzyme toward non-native bulky substrates and pave the way for the development of enzymes as detoxification agents to mitigate DON in the food and feed industry.

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RuCo alloy nanoparticles embedded within N-doped porous two-dimensional carbon nanosheets:a high-performance hydrogen evolution reaction catalyst

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Tungsten 2024年第1期6卷 114-123页

作者： Jin-Hui Wang Shao-Wei Yang Fu-bin ma Yi-Ke Zhao Shi-Nuo Zhao Zheng-Yu Xiong Dong Cai Hai-Dong Shen Kai Zhu Qiu-Yu Zhang Yue-Ling Cao Tian-Shuai Wang He-Peng Zhang Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China Xi’an Key Laboratory of Functional Organic Porous materials School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710129China School of Power and Energy Northwestern Polytechnical UniversityXi’an 710129China Chongqing Science and Technology Innovation Center of Northwestern Polytechnical University Chongqing 401135China

Developing cost-effective electrocatalysts with high activity and stability especially at high current density is of great significance for the large-scale commercial application of electrochemical water splitting to hydrogen production but still remains ***,we report an effective confinement pyrolysis strategy to fabricate embedded ruthenium-cobalt nanoclusters supported on N-doped porous two-dimensional carbon nanosheets(RuCo@CN).markedly,the embedded structure can effectively prevent the migration,agglomeration,and leaching of nanoparticles,thus endowing the RuCo@CN catalyst with high *** be exact,high stability with up to 650 h can be achieved at high current density(-500 and-1000 ma·cm^(-2)).Besides,the RuCo@CN catalysts also exhibit highly reactive with low overpotentials of only 11mV at-10 ma·cm^(-2).Density functional theory calculations reveal that the introduction of cobalt reduces the decomposition barrier of H_(2)O for RuCo@CN alloy,thus promoting hydrogen evolution reaction.

关键词： Hydrogen evolution reaction Confinement pyrolysis strategy Mosaic structure Stability

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基于Rayleigh分布扰动状态概念的单桩承载特性研究

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湖南大学学报（自然科学版） 2024年第9期51卷 76-86页

作者：马彬殷伟平张乾青山东大学岩土与地下工程研究院山东济南250061 山东大学(齐河)新材料与智能装备研究院山东德州251114

基于扰动状态概念(Disturbed State Concept,DSC),结合Rayleigh分布从微观角度描述桩-土界面荷载渐进性传递特性,建立了基于DSC理论的桩侧及桩端荷载传递模型,给出了模型参数确定方法,并验证了模型的合理性.同时结合桩侧及桩端荷载传递... 详细信息

基于扰动状态概念(Disturbed State Concept,DSC),结合Rayleigh分布从微观角度描述桩-土界面荷载渐进性传递特性,建立了基于DSC理论的桩侧及桩端荷载传递模型,给出了模型参数确定方法,并验证了模型的合理性.同时结合桩侧及桩端荷载传递模型,提出了一种分析单桩承载特性的迭代算法并验证其合理性.通过算法计算得到的单桩承载特性与案例实测值有较好的一致性,且可较好地反映侧阻及端阻硬化、软化等特性.变参数分析结果表明,基于DSC理论的桩侧及桩端荷载传递模型对不同土层、不同桩基施工工艺都有好的适用性,可较准确地描述桩-土界面荷载传递特性.

关键词：扰动状态概念单桩荷载传递模型承载特性

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基于CNN-LSTM模型的车辆换道前跟驰研究

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重庆理工大学学报（自然科学） 2024年第2期38卷 1-8页

作者：潘公宇马斌江苏大学车辆产品实验室江苏镇江212013 江苏大学汽车与交通工程学院江苏镇江212013

考虑换道车辆在换道前的跟驰行为与无换道意图的一般跟驰行为有明显的差异,为研究车辆在换道前的特殊跟驰行为,提出“换道前跟驰”阶段概念,将换道车辆的跟驰过程划分为“基本跟驰”与“换道前跟驰”两阶段,以主车在换道前斜率的第五八... 详细信息

考虑换道车辆在换道前的跟驰行为与无换道意图的一般跟驰行为有明显的差异,为研究车辆在换道前的特殊跟驰行为,提出“换道前跟驰”阶段概念,将换道车辆的跟驰过程划分为“基本跟驰”与“换道前跟驰”两阶段,以主车在换道前斜率的第五八分位数作为“换道前跟驰”的终点,使用z检验法验证了换道车辆在换道前跟驰阶段运动状态的特殊性。搭建CNN-LSTM网络以车辆速度、加速度、相对距离、横向偏移量等为输入,利用CNN层提取输入层特征,再将提取出的特征作为LSTM网络的输入,利用LSTM网络实现跟驰车辆状态的预测。仿真结果表明,传统的IDM不适用于车辆换道前的特殊跟驰行为,搭建的CNN-LSTM模型在加速度精度上较传统IDM模型提升了15.1%,更适用于车辆换道前跟驰状态的描述。

关键词：换道前跟驰车辆状态预测 CNN-LSTM融合神经网络 NGSIM数据集

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