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Geostatistical Analysis on the Temporal Patterns of the Yellow Rice Borer, Tryporyza incertulas

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Rice science 2005年第3期12卷 207-212页

作者： yuan zhe-ming WANG Zhi Hu Xiang-yue Bio-safety Science and Technology College Hunan Agricultural University Changsha 410128 China Department of Life Science Hunan Arts and Science University Changde 415000 China

In order to comprehend temporal pattern of the larvae population of the yellow rice borer, Tryporyza incertulas, and provide valuable information for its forecast model, the data series of the population for each generation and the over-wintered larvae from 1960 to 1990 in Dingcheng District, Changde City, Hunan Province, were analyzed with geostatistics. The data series of total number, the 1st generation, the 3rd generation and the over-wintered larvae year to year displayed rather better autocorrelation and prediction. The data series of generation to generation, the 2nd generation and the 4th generation year to year, however, demonstrated poor autocorrelation, especially for the 4th generation, whose autocorrelation degree was zero. The population dynamics of the yellow rice borer was obviously intermittent. A remarkable cycle of four generations, one year, was observed in the population of generation to generation. Omitting the certain generation or interposing the over-wintered larvae only resulted in a less or slight change of autocorrelation of the whole data series generation to generation. Crop system, food, climate and natural enemies, therefore, played more important roles in regulating the population dynamics than base number of the larvae. The basic techniques of geostatistics applied in analyzing temporal population dynamics were outlined.

关键词： Tryporyza incertulas geostatistics temporal patterns population forecast

A lethal mice model of recombinant vesicular stomatitis viruses for EBOV-targeting prophylactic vaccines evaluation

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Virologica Sinica 2024年第3期39卷 516-519页

作者： Hong-Qing Zhang zhe-Rui Zhang Cheng-Lin Deng Zhi-ming yuan Bo Zhang Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyCenter for Biosafety Mega-ScienceChinese Academy of SciencesWuhan430071China University of Chinese Academy of Sciences Beijing100049China Hubei Jiangxia Laboratory Wuhan430200China

Dear editor,Ebola virus(EBOV)is a member of the genus Orthoebolavirus within the family of ***'s the causative agent of Ebola virus disease(EVD),characterized by general malaise,severe gastrointestinal illness,febrile,coagulopathy,multi-organs dysfunction,and high mortality(up to 90%)in humans and nonhuman primates(NHPs)(Jacob et al.,2020).Since its discovery in 1976,EBOV has grabbed the global concerns,especially after the West African epidemic from 2014 to 2016,which resulted in 30,000 cases and over 11,000 deaths(Feldmann et al.,2020;Jacob et al.,2020).From 2018 to 2022,there have been thousands of infections primarily in the Democratic Republic of the Congo(DRC),resulting in over 2000 *** highlights the importance of continued attention and ongoing surveillance(***/emergenci es/disease-outbreak-news).

关键词： organs mortality editor

基于统计差表与加权投票的高精度剪接位点预测

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生物化学与生物物理进展 2019年第5期46卷 496-503页

作者：曾莹陈渊袁哲明湖南农业大学湖南省农业大数据分析与决策工程技术研究中心长沙410128 湖南农业大学东方科技学院长沙410128

基于机器学习的高精度剪接位点识别是真核生物基因组注释的关键.本文采用卡方测验确定序列窗口长度,构建卡方统计差表提取位置特征,并结合碱基二联体频次表征序列;针对剪接位点正负样本高度不均衡这一情形,构建10个正负样本均衡的支持... 详细信息

基于机器学习的高精度剪接位点识别是真核生物基因组注释的关键.本文采用卡方测验确定序列窗口长度,构建卡方统计差表提取位置特征,并结合碱基二联体频次表征序列;针对剪接位点正负样本高度不均衡这一情形,构建10个正负样本均衡的支持向量机分类器,进行加权投票决策,有效解决了不平衡模式分类问题. HS^3D数据集上的独立测试结果显示,供体、受体位点预测准确率分别达到93.39%、90.46%,明显高于参比方法.基于卡方统计差表的位置特征能有效表征DNA序列,在分子序列信号位点识别中具有应用前景.

关键词：剪接位点位置特征卡方统计差表加权投票支持向量机

Boosting oxygen reduction activity and CO_(2) resistance on bismuth ferrite-based perovskite cathode for low-temperature solid oxide fuel cells below 600℃

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Journal of Energy Chemistry 2024年第3期90卷 600-609,I0013页

作者： Juntao Gao Zhiyun Wei Mengke yuan zhe Wang zhe Lü Qiang Li Lingling Xu Bo Wei School of Physics Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Key Laboratory of Functional Inorganic Material Chemistry Ministry of EducationSchool of Chemistry and Materials ScienceHeilongjiang UniversityHarbin 150080HeilongjiangChina School of Physics and Electronic Engineering Harbin Normal UniversityHarbin 150025HeilongjiangChina

Developing efficient and stable cathodes for low-temperature solid oxide fuel cells(LT-SOFCs) is of great importance for the practical ***,we propose a series of Sm-modified Bi_(0.7-x)Sm_xSr_(0.3)FeO_(3-δ) perovskites as highly-active catalysts for *** doping can significantly enhance the electrocata lytic activity and chemical stability of *** 600℃,Bi_(0.675)Sm_(0.025)Sr_(0.3)FeO_(3-δ)(BSSF25) cathode has been found to be the optimum composition with a polarization resistance of 0.098 Ω cm^2,which is only around 22.8% of Bi_(0.7)Sr_(0.3)FeO_(3-δ)(BSF).A full cell utilizing BSSF25 displays an exceptional output density of 790 mW cm^(-2),which can operate continuously over100 h without obvious *** remarkable electrochemical performance observed can be attributed to the improved O_(2) transport kinetics,superior surface oxygen adsorption capacity,as well as O_(2)p band centers in close proximity to the Fermi ***,larger average bonding energy(ABE) and the presence of highly acidic Bi,Sm,and Fe ions restrict the adsorption of CO_(2) on the cathode surface,resulting in excellent CO_(2) *** work provides valuable guidance for systematic design of efficient and durable catalysts for LT-SOFCs.

关键词： Low-temperature solid oxide fuel cell Perovskite cathode DFT calculations CO_(2) tolerance

Nanoindentation behavior and creep-induced cracking of long-term crept austenitic steel at 650℃

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Journal of Iron and Steel Research International 2024年第2期31卷 464-474页

作者： zhen Zhang Yu-hang Duan Shuai Wang Jin-shan Chen An-zhe Wang Xiang-yang Mao yuan-ji Shi Jie Zhang ming Liu zheng-fei Hu School of Materials Science and Engineering Nanjing Institute of TechnologyNanjing211167JiangsuChina Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing211167JiangsuChina Jiangsu Wind Power Engineering Technology Center Nanjing210023JiangsuChina Nanjing Vocational University of Industry Technology Nanjing210023JiangsuChina Baoshan Iron&Steel Co. Ltd.Shanghai201900China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou350116FujianChina School of Materials Science and Engineering Tongji UniversityShanghai201804China

The grain boundary(GB)damage of long-term crept HR3C(25Cr–20Ni–Nb–N)austenitic steel with solid solution state was investigated by nanoindentation test accompanied with in-situ electron back-scattered *** corresponding microstructure was characterized by scanning electron microscopy and transmission electron *** show that the increase in nanoindentation hardness at the GBs and triple grain junctions may be related to the dislocation accumulation and carbide growth during the *** M23C6 and dislocations piling-up at the GB accelerate the nucleation and coalescence of creep cavity along the *** nanoindentation hardness in grains varies with orientation of the stress *** orientation difference of neighbor grains may induce local high geometrically necessary dislocation densities and strain gradients near the GB,consequently causing stress concentration and subsequent crack growth at specific GBs.

关键词： Austenitic steel Creep Nanoindentation Grain orientation Creep-induced cracking

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污水处理过程的奇异摄动模型仿真研究

系统仿真学报 2007年第14期19卷 3188-3192页

作者：张平苑明哲王宏沈阳自动化研究所

活性污泥污水处理过程是一个多时间尺度的大规模非线性系统。其数学模型非常复杂,不便于进行控制系统的设计。为了从控制和优化的角度促进活性污泥数学模型的应用,以活性污泥一号模型(ASM1)为基础,COST 624 benchmark为平台,采用奇异摄... 详细信息

活性污泥污水处理过程是一个多时间尺度的大规模非线性系统。其数学模型非常复杂,不便于进行控制系统的设计。为了从控制和优化的角度促进活性污泥数学模型的应用,以活性污泥一号模型(ASM1)为基础,COST 624 benchmark为平台,采用奇异摄动法并结合灵敏度分析法使系统降维。建立了活性污泥奇异摄动模型。简化后的模型组分、反应过程和参数的数量都少于ASM1。仿真结果表明简化模型与原有模型的动态特性基本一致,证明了该算法的有效性。

关键词：污水处理过程活性污泥模型 benchmark 奇异摄动灵敏度分析

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基于三类特征融合的O-糖基化位点预测

生物化学与生物物理进展 2016年第7期43卷 691-698页

作者：向妍陈渊谭泗桥袁哲明湖南农业大学植物病虫害生物学与防控湖南省重点实验室长沙410128 湖南农业大学信息科学技术学院长沙410128 湖南农业大学湖南省作物种质创新与资源利用重点实验室长沙410128

糖基化是蛋白质翻译后的主要修饰,O-糖基化的固定模式未知,高精度识别O-糖基化位点是机器学习面临的挑战性问题.以迄今最大的人O-糖基化位点Steentoft数据集为基础,本文首次提出了基于位置的卡方差表特征χ^2pos,融合伪氨基酸序列进化信... 详细信息

糖基化是蛋白质翻译后的主要修饰,O-糖基化的固定模式未知,高精度识别O-糖基化位点是机器学习面临的挑战性问题.以迄今最大的人O-糖基化位点Steentoft数据集为基础,本文首次提出了基于位置的卡方差表特征χ^2pos,融合伪氨基酸序列进化信息Pse PSSM以及无方向的k间隔氨基酸对组分Undirected-CKSAAP表征序列,构建5个正负样本均衡的支持向量机分类器,经加权投票,独立测试准确率、Matthew相关系数及ROC曲线下面积,分别达到了89.62%、0.79、0.96,明显优于文献报道结果.χ^2pos、Pse PSSM与Undirected-CKSAAP三种特征的融合在蛋白质糖基化、磷酸化等位点预测中有广泛应用前景.

关键词： O-糖基化位点预测卡方差表特征伪氨基酸序列进化信息无方向的k间隔氨基酸对组分加权投票

Deep learning methods for roping defect analysis in aluminum alloy sheets: prediction and grading

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Advances in Manufacturing 2024年第3期12卷 576-590页

作者： yuan-zhe Hu Ru-Xue Liu Jia-Peng He Guo-Wei Zhou Da-Yong Li State Key Laboratory of Mechanical Systems and Vibration Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240People’s Republic of China

Roping is a severe band-like surface defect that occurs in deformed aluminum alloy *** roping prediction and rating are essential for industrial ***,the authors introduced an artificial neural network(ANN)model to efficiently forecast roping behavior across the thickness of large regions with texture *** this study,the previously proposed ANN model for roping prediction is briefly reviewed,and a few-shot learning(FSL)-based method is developed for roping grading with limited *** consider the directionality of the roping patterns,the roping dataset constructed from experimental observations is transformed into the frequency domain for more compact characterization.A transfer-based FSL method is further presented for grade roping with manifold mixup regularization and the Sinkhorn mapping algorithm.A new component-focused representation is also implemented for data-processing,exploiting the close correlation between roping and power distribution in the frequency *** ultimate FSL method achieved an optimal accuracy of 95.65%in roping classification with only five training samples per class,outperforming four typical FSL *** FSL approach can be applied to grade the roping morphologies predicted by the ANN ***,the combination of prediction and grading using deep learning provides a new paradigm for roping analysis and control.

关键词： Roping Artificial neural network(ANN) Aluminum alloys Few-shot classification Surface morphology

Coordinated optimization of signal timing for intersections with dynamic shared through-and right-turn lanes

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2024年第3期7卷 219-228页

作者： zhe zheng Jian yuan Kun An Nan zheng Wanjing Ma The Key Laboratory of Road and Traffic Engineering Ministry of EducationTongji UniversityShanghai 201804China Department of Civil Engineering Monash UniversityMelbourne VIC 3800Australia

Through and right-turn shared lanes are widely designed to increase the capacity of through traffic,but they can also cause delays for right-turn *** study presents a dynamic control method for a shared lane that prioritizes right-turn vehicles at the beginning of the cycle and subsequently allows through traffic to queue in the shared lane for saturated *** traffic wave model is employed to reveal the dynamics of the traffic flow under this control and to derive the relationships among major traffic *** by the major relationship,a linear programming approach to minimize the total queue length is developed to determine the proper values of control parameters,including the shared area length,subordinate signal time lag,and shared or exclusive duration.A sensitivity analysis of the control parameters for different arrival rates and flow ratios is *** are conducted among the dynamic shared lane,the fixed exclusive lane,and the fixed shared *** results show that the dynamic control method results in a lower delay for both through and total traffic.

关键词： traffic control dynamic lane right-turn traffic optimization model