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Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning

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Science China(Technological Sciences) 2024年第1期67卷 259-270页

作者： ou jiajun LUO XiaoShan LIU JunYang HUANG LinYan ZHou LiHua YUAN Yong School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China

Soil extracellular electron transfer(EET)is a pivotal biological process within the realm of ***,EET suffers from a lack of predictive ***,an intricately crafted machine learning model has been developed for the purpose of predicting soil EET by using the physicochemical properties of soil as independent input variables and the EET capabilities in terms of current density(j_(max))and Coulombic charge(C_(out))as dependent output *** autoencoder ensemble stacking(AES)model was developed to address the aforementioned issue by integrating support vector machine,multilayer perceptron,extreme gradient boosting,and light gradient boosting machine algorithms as the stacking *** 10-fold crossvalidation,the AES model exhibited notable improvements in predicting j_(max)and C_(out),with average test R^(2)values of 0.83 and 0.84,respectively,surpassing those of single machine learning(ML)models and the basic ensemble *** utilizing partial correlation plots(PDPs),Shapley Additive explanations(SHAP)values,and SHAP decision plots,we quantitatively explained the impact and contribution of the input molecules on the AES model’s predictions of j_(max)and C_(out).In the context of the SHAP method for the AES model,total carbon(TC)was identified as the most correlated descriptor for j_(max),while total organic carbon(TOC)stood out as the most relevant descriptor for C_(out).In the prediction tasks of j_(max)and C_(out)within the AES model,employing a multitask ML approach allowed the model to benefit from the shared information of input variables,thereby enhancing its overall *** study provides a feasible tool for the prediction of soil EET from soil physiochemical properties and an advanced understanding of the relationship between soil physiochemical properties and EET capability.

关键词： extracellular electron transfer paddy soil machine learning prediction autoencoder ensemble stacking model

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Novel HCV-Like Virus Detected in Avian Livers in Southern China and Its Implications for Natural Recombination Events

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Virologica Sinica 2021年第1期36卷 149-151页

作者： Gang Lu Jiawei Zhao jiajun ou Shoujun Li College of Veterinary Medicine South China Agricultural UniversityGuangzhou 510642China Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases Guangzhou 510642China Guangdong Technological Engineering Research Center for Pet Guangzhou 510642China

Dear Editor,Hepacivirus C virus(HCV)is a major cause of liver disease in human,which is estimated to infect 2%–3%of the world’s population and has resulted in a high global health *** was first discovered in 1989,and was the sole member of the Hepacivirus genus before ***,genetically-diverse HCV-like viruses have been independently determined in a number of animal species.

关键词： Liver HCV liver

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Role of feline ANP32 proteins in regulating polymerase activity of influenza A virus

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Journal of Integrative Agriculture 2024年第9期23卷 3145-3158页

作者： Gang Lu Feiyan Zheng Yuqing Xiao Ran Shao jiajun ou Xin Yin Shoujun Li Guihong Zhang College of Veterinary Medicine South China Agricultural UniversityGuangzhou 510642China State Key Laboratory for Animal Disease Control and Prevention Harbin Veterinary Research InstituteChinese Academy of Agricultural SciencesHarbin 150000China Maoming Branch Guangdong Laboratory for Lingnan Modern AgricultureMaoming 525000China Guangdong Laboratory for Lingnan Modern Agriculture Guangzhou 510642China

Recently,increasing natural infection cases and experimental animal challenge studies demonstrated domestic cats are susceptible to multiple subtypes influenza A virus(IAV)***,some subtype IAV strains could circulate in domestic cats after cross-species transmission and even infected humans,posing a threat to public *** factors related to viral polymerase activity could determine host range of IAV and acidic nuclear phosphoprotein 32(ANP32)is the most important one among ***,role of cat-derived ANP32 on viral polymerase activity and host range of IAV is still *** the present study,a total of 10 feline ANP32(feANP32)splice variants(including 5 feANP32A,3 feANP32B,and 2 feANP32E)were obtained from domestic cats by *** alignment results demonstrated amino acid deletions and/or insertions occurred among feANP32 variants,but all feANP32 proteins were primarily localized to cell *** replication systems for several representative IAV strains were established and the support ability of feANP32 on IAV polymerase activity was *** results indicated that most feANP32A and feANP32B splice variants were able to support all the tested IAV strains,though the support activity of a single feANP32 protein on polymerase activity varied among different IAV *** addition,the role of feANP32 in supporting H3N2 canine influenza virus was determined by investigating viral replication in ***,our study systematically investigated the support activity of feANP32 on IAV,providing a clue for further exploring the mechanism of susceptibility of cats to IAV.

关键词： ANP32 influenza A virus feline cross-species transmission

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Predicting the Bioaccessibility of Soil Cd,Pb,and As with Advanced Machine Learning for Continental-Scale Soil Environmental Criteria Determination in China

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Environment & Health 2024年第9期2卷 631-641页

作者： Kunting Xie jiajun ou Minghao He Weijie Peng Yong Yuan Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Automation Guangdong University of TechnologyGuangzhou 510006China Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China

Investigating the bioaccessibility of harmful inorganic elements in soil is crucial for understanding their behavior in the environment and accurately assessing the environmental risks associated with *** batch experimental methods and linear models,however,are time-consuming and often fall short in precisely quantifying *** this study,using 937 data points gathered from 56 journal articles,we developed machine learning models for three harmful inorganic elements,namely,Cd,Pb,and *** thorough analysis,the model optimized through a boosting ensemble strategy demonstrated the best performance,with an average R2 of 0.95 and an RMSE of *** further employed SHAP values in conjunction with quantitative analysis to identify the key features that influence *** utilizing the developed integrated models,we carried out predictions for 3002 data points across China,clarifying the bioaccessibility of cadmium(Cd),lead(Pb),and arsenic(As)in the soils of various sites and constructed a comprehensive spatial distribution map of China using the inverse distance weighting(IDW)interpolation *** on these findings,we further derived the soil environmental standards for metallurgical sites in *** observations from the collected data indicate a reduction in the number of sites exceeding the standard levels for Cd,Pb,and As in mining/smelting sites from 5,58,and 14 to 1,24,and 7,*** research offers a precise and scientific approach for cross-regional risk assessment at the continental scale and lays a solid foundation for soil environmental management.

关键词： machine learning soil environmental criteria potentially harmful elements bioaccessibility sites

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Identification and genetic characterization of bovine hepacivirus in China:A large scale epidemiological study

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Virologica Sinica 2022年第2期37卷 223-228页

作者： Gang Lu Chaoxi Chen Ran Shao Juan Zhang Jinghao Li Siqi Cai Lintao Zhong Zhiying Lai jiajun ou Xin Yin Guihong Zhang Shoujun Li College of Veterinary Medicine South China Agricultural UniversityGuangzhou510642China State Key Laboratory of Veterinary Biotechnology Harbin Veterinary Research InstituteThe Chinese Academy of Agricultural SciencesHarbin150000China Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases Guangzhou510642China Guangdong Technological Engineering Research Center for Pet Guangzhou510642China College of Life Science and Technology Southwest Minzu UniversityChengdu610041China General Station of Forest and Grassland Pest Management National Forestry and Grassland AdministrationShenyang110000China

Bovine hepacivirus(BovHepV)is a novel virus that was recently discovered in Ghana and Germany in *** now,this virus has been identified in cattle population worldwide and is classified into subtypes *** fully understand the epidemic situation and genetic characteristic of BovHepV in China,a total of 612 cattle serum samples were collected from 20 farms in seven provinces and municipality in China between 2018 and 2020 and were tested for the presence of BovHepV RNA via semi-nested *** results demonstrated that 49(8.0%)samples were BovHepV *** is noted that BovHepV infection in yak was confirmed for the first *** was detected in all the seven provinces,with the positive rate ranging from 3.1%to 13.3%,which indicates a wide geographical distribution pattern of BovHepV in *** results revealed that 5'UTR of the 49 field BovHepV strains have a nucleotide similarity of 96.3%-100%between each other and 93.9%-100%with previously reported BovHepV *** addition,genetic analysis identified five critical nucleotide sites in 5'UTR to distinguish different subtypes,which was further verified by genomic sequencing and nucleotide similarity *** the 49 Chinese field BovHepV strains were classified into subtype G and this subtype is only determined in cattle in China *** study will provide insights for us to better understand the epidemiology and genetic diversity of BovHepV.

关键词： Bovine hepacivirus(BovHepV) China Epidemiology Genetic diversity Cattle

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三维全五向编织预制件渗透率研究

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航空学报 2015年第7期36卷 2244-2250页

作者：刘振国欧家骏胡龙王一博黄祥北京航空航天大学航空科学与工程学院北京100191

为了获得三维全五向编织预制件的渗透率数据,并研究其随编织工艺参数变化的规律,基于三维全五向编织复合材料内部单胞细观结构和编织预制件孔隙的双尺度特点,建立了用于进行编织预制件渗透率仿真计算的模型。施加周期性边界条件,利用Flu... 详细信息

为了获得三维全五向编织预制件的渗透率数据,并研究其随编织工艺参数变化的规律,基于三维全五向编织复合材料内部单胞细观结构和编织预制件孔隙的双尺度特点,建立了用于进行编织预制件渗透率仿真计算的模型。施加周期性边界条件,利用Fluent的两相流模型,对三维全五向编织预制件沿轴向和垂向的树脂填充过程进行仿真计算,获得了不同编织角下预制件的轴向和垂向的非饱和渗透率。同时利用径向法实验对不同编织角的三维全五向编织预制件的渗透率进行了测量。将实验结果与仿真计算结果进行对比,两者的渗透率随编织角变化趋势一致,实验值与计算值吻合较好。

关键词：复合材料三维编织渗透率树脂传递模塑径向法

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叶片数及弦长对升力型垂直轴风力机的影响

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可再生能源 2016年第12期34卷 1834-1840页

作者：徐林李学敏区家隽华中科技大学能源与动力工程学院湖北武汉430074

文章基于非对称翼型NACA4415,以功率系数为依据,以CFD仿真为手段,研究了在不同尖速比下叶片数与叶片弦长对升力型垂直轴风力机气动性能的影响,以及不同尖速比和叶轮实度不同时,垂直轴风力机功率系数的变化。研究结果显示,该类升力型垂... 详细信息

文章基于非对称翼型NACA4415,以功率系数为依据,以CFD仿真为手段,研究了在不同尖速比下叶片数与叶片弦长对升力型垂直轴风力机气动性能的影响,以及不同尖速比和叶轮实度不同时,垂直轴风力机功率系数的变化。研究结果显示,该类升力型垂直轴风力机叶轮实度取0.25~0.45,尖速比λ取2.5~3.4时,具有较高的功率系数。流场分析表明,当叶片弦长与叶片数的变化对流场的扰动能力小于垂直轴风力机从流场中获取风能的能力时,叶片弦长与叶片数的变化会增加垂直轴风力机的功率系数;反之,垂直轴风力机的功率系数降低。该研究为此类20 k W垂直轴风力机的设计与选型提供依据。

关键词：升力型垂直轴风力机非对称翼型叶片数弦长大小气动性能

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水平轴风力机叶片的截面与动力特性分析

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可再生能源 2016年第5期34卷 681-686页

作者：区家隽李学敏徐林华中科技大学中欧清洁与可再生能源学院湖北武汉430074

风力机叶片在旋转过程中受重力和离心力作用,产生动力刚化导致固有频率增加。文章以NRELPhase VI风力机叶片为对象,在其内部分别添加圆形腹板、单腹板和双腹板,建立3种不同截面的叶片三维模型,并结合复合材料对叶片铺层进行动力学分析... 详细信息

风力机叶片在旋转过程中受重力和离心力作用,产生动力刚化导致固有频率增加。文章以NRELPhase VI风力机叶片为对象,在其内部分别添加圆形腹板、单腹板和双腹板,建立3种不同截面的叶片三维模型,并结合复合材料对叶片铺层进行动力学分析。结果表明,叶片采用的铺层方案能有效避免共振,并且3种叶片模型的重量均接近叶片的真实值。在额定转速下,3种腹板叶片的一阶频率增量随腹板的厚度增加而增加,但在两倍额定转速时,单腹板和圆形腹板的一阶频率增量随腹板厚度增加而减少;同时,腹板中的双轴向玻璃布材料以±45°铺设时,一阶固有频率最大,而由动力刚化引起的一阶频率增量较其他角度小。

关键词：复合材料叶片铺层角度腹板厚度离心刚化坎贝尔图模态分析

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10 kV并联电容器组的跳闸分析与计算

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电力电容器与无功补偿 2018年第2期39卷 49-53,71页

作者：毛磊刘旭颜玮钟昀昊欧嘉俊广州供电局有限公司广州510000 国网襄阳供电公司湖北襄阳441000

某220 kV变电站10 kV侧并联电容器投切时,出现一合即跳故障。本文以该站10 kV双星形接线电容器组为例,对双Y形接线电容器组的不平衡电压、不平衡电流保护进行计算分析,结果表明不平衡电流对于电容单元内部故障的反映较不平衡电压保护更... 详细信息

某220 kV变电站10 kV侧并联电容器投切时,出现一合即跳故障。本文以该站10 kV双星形接线电容器组为例,对双Y形接线电容器组的不平衡电压、不平衡电流保护进行计算分析,结果表明不平衡电流对于电容单元内部故障的反映较不平衡电压保护更为灵敏,但随着单臂电容量的增加,保护灵敏度降低。通过对不同保护方式的理论计算,并利用ATP-EMTP软件对电容器组的暂稳态运行进行分析,发现电容器组的初始不平衡度对保护影响较大,即使电容偏差不超过2%,但受电源不对称度、合闸涌流等因素的共同作用,也可引起保护的跳闸,因此实际运行中应尽可能使电容器组电容平衡。

关键词：双星形不平衡电压不平衡电流 ATP-EMTP 电容器涌流

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柔性直流输电换流阀型式实验平台谐波注入方法

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南方电网技术 2022年第2期16卷 89-96页

作者：付志超陈奥博朱劲磊欧嘉俊王国强广东电网公司广州供电局广州510620 荣信汇科电气股份有限公司辽宁鞍山114051

柔性直流输电系统已广泛应用于我国电力系统,其核心设备柔直换流阀的可靠性直接影响电网的安全稳定运行。随着国内外柔直系统谐波振荡等现象的出现,换流阀在型式实验阶段除了满足IEC标准规定的实验项目外,还需要考核换流阀的谐波耐受能... 详细信息

柔性直流输电系统已广泛应用于我国电力系统,其核心设备柔直换流阀的可靠性直接影响电网的安全稳定运行。随着国内外柔直系统谐波振荡等现象的出现,换流阀在型式实验阶段除了满足IEC标准规定的实验项目外,还需要考核换流阀的谐波耐受能力。基于柔直换流阀对拖实验平台,提出了谐波电流注入控制方法,建立了阀段实验系统电流控制回路等效模型,与常规基于比例-谐振(PR)调节器的电流控制策略进行对比,证明了所提出的基于二阶低通滤波环节的谐波电流控制方法能够明显改善电流控制回路的幅频特性,消除注入谐波的稳态波动。最后,采用PSCAD软件对所提出的电流控制方法进行仿真验证,对比常规PR调节器和二阶低通滤波环节下稳态谐波电流的控制性能,表明所提出电流控制方法的有效性,并进一步在换流阀对拖实验平台进行实验验证,稳态时谐波电流跟踪给定值,满足换流阀谐波电流应力的工程验证需要。

关键词：谐波电流柔直换流阀型式实验二阶低通滤波

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