检索结果-南通市图书馆

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

在线全文

学校读者我要写书评

暂无评论

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

Deep electrical structures of Qinzhou-Fangcheng Junction Zone in Guangxi and seismogenic environment of the 1936 Lingshan M6^(3/4)earthquake

在线全文

学校读者我要写书评

暂无评论

Science China Earth Sciences 2024年第2期67卷 584-603页

作者： Bin zhou Chunheng YAN Yan ZHAN Xiangyu SUN Sha LI Xiang WEN Yajun MO Yongdong yuan yuan yuan Meili huang Earthquake Agency of Guangxi Zhuang Autonomous Region Nanning530022China State Key Laboratory of Earthquake Dynamics Institute of GeologyChina Earthquake AdministrationBeijing100029China Guangxi Geophysical Survey Institute Liuzhou545005China

The tectonic position of the southwest section of the Qinzhou Bay-Hangzhou Bay Tectonic Junction Zone(QHTJZ)can be determined by examining the Qinzhou-Fangcheng Junction Zone(QFJZ)in *** zone is significant because it was the location of the largest earthquake ever recorded in the inland region of South China,specifically the 1936 Lingshan M6^(3/4)earthquake in ***,this region serves as an optimal location for researching the origins of intraplate earthquakes in South *** study presents a display of a broadband magnetotelluric(MT)prospecting profile that traverses the Guangxi QFJZ and the Lingshan earthquake zone,extending from the northwest(NW)to the southeast(SE).A resistivity structure model was generated using three-dimensional(3D)inversion technology along the *** main faults in QFJZ were analyzed in terms of their deep extension forms and tectonic *** analysis was performed by integrating the results obtained from geology,gravity,wave velocity ratio,Global Position System(GPS),and geothermal *** results showed that(1)the Dongzhong-Xiaodong fault(DXf),the eastern Fangcheng-Lingshan fault(FLf2),and the eastern Hepu-Beiliu fault(HBf2)were all trans-crustal deep faults,and crust-mantle ductile shear zones developed in the deep *** electrical boundary zones,DXf and HBf2,were *** inclined towards the northwest,while HBf2 inclined towards the *** FangchengLingshan fault(FLf)exhibits a tectonic style resembling a“flower”shape in the upper *** the deeper section,it is characterized by an electrical boundary zone that gradually slopes towards the southeast direction.(2)The Hunan-Guangxi Passive Continental Margin(HGPCM)on the NW side of DXf had a stratified resistivity structure and relatively stable Bouguer gravity anomalies,which conformed to the quasi-craton tectonic attribute of the local failure at the southeastern margin of the Yangtze Block(YB).The southeastern side of this bloc

关键词： South China Block Qinzhou-Fangcheng Junction Zone Magnetotelluric 1936 Lingshan M6^(3/4)earthquake Deep seismogenic environment

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration and Exploitation

在线全文

学校读者我要写书评

暂无评论

Engineering 2024年第2期33卷 108-120页

作者： Kang yuan Yanjun huang Shuo Yang Zewei zhou Yulei Wang Dongpu Cao Hong Chen College of Electronic and Information Engineering Tongji UniversityShanghai 201804China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 201210China School of Automotive Studies Tongji UniversityShanghai 201804China School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China

Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world *** study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data-and model-driven ***,a data-driven decision-making module based on deep reinforcement learning(DRL)is developed to pursue a rational driving performance as much as ***,model predictive control(MPC)is employed to execute both longitudinal and lateral motion planning *** constraints are defined according to the vehicle’s physical limit to meet the driving task ***,two principles of safety and rationality for the self-evolution of autonomous driving are proposed.A motion envelope is established and embedded into a rational exploration and exploitation scheme,which filters out unreasonable experiences by masking unsafe actions so as to collect high-quality training data for the DRL *** with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted,and the results show that the proposed online-evolution framework is able to generate safer,more rational,and more efficient driving action in a real-world environment.

关键词： Autonomous driving Decision-making Motion planning Deep reinforcement learning Model predictive control

Inhaler use in chronic obstructive pulmonary disease patients: a meta-analysis

在线全文

学校读者我要写书评

暂无评论

Frontiers of Nursing 2022年第4期9卷 343-352页

作者： Li-Juan zhou Xian-Xiu Wen Rong Jiang huang-yuan zhou Yan Li Xiao-Rang Mao Mei Lan Department of Respiration and Critical Care Medicine Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan 610000China Department of Nursing Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan 610000China School of Medicine University of Electronic Science and Technology of ChinaChengduSichuan 610000China Department of Central Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan 610000China Department of Sichuan Provincial People’s Hospital University of Electronic Science and Technology of ChinaChengduSichuan 610000China

Objective: To evaluate errors in the use of inhalation techniques in patients with chronic obstructive pulmonary disease(COPD), and to provide evidence for improving the effectiveness of ***: A meta-analysis was performed after searching for literature at Pub Med, Embase, Web of Science, Cochrane Library, CINAHL, China National Knowledge Infrastructure(CNKI), Wan Fang, VIP, and Sion Med databases which were published from January 2011 to October 2020, addressing errors in the use of inhalation technologies for the treatment of COPD. After reviewing the literature, extracting per tinent information, and evaluating the risk of bias for the included studies, statistical analysis was performed using Stata ***: Thir teen papers(12 in English and 1 in Chinese), representing 2527 patients, met the search criteria and were included in the meta-analysis. The results showed that the combined effect size of COPD patients making at least one operational error was 76%(95% CI: 0.69–0.83). The error rate varied with inhaler type;the combined effect size error for powered inhalers was 66%(95% CI: 0.57, 0.74), 67%(95% CI. 0.57, 0.77) for metered-dose inhalers(MDI), and 51%(95% CI: 0.38, 0.64) for soft mist inhalers(SMI).Conclusions: More than 75% of patients with COPD were unable to consistently use inhalers correctly, with the highest error rate for MDI. Therefore, health care providers must continue to educate patients on proper use of inhaler, ensuring their correct use and reducing the risk of acute COPD exacerbations.

关键词： chronic obstructive pulmonary disease inhaler handling errors inhaler technique medications meta-analysis

A Deep Learning Approach to Shape Optimization Problems for Flexoelectric Materials Using the Isogeometric Finite Element Method

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1935-1960页

作者： Yu Cheng Yajun huang Shuai Li Zhongbin zhou Xiaohui yuan Yanming Xu College of Architecture and Civil Engineering Xinyang Normal UniversityXinyang464000China Henan Unsaturated Soil and Special Soil Engineering Technology Research Center Xinyang Normal UniversityXinyang464000China College of Intelligent Construction Wuchang University of TechnologyWuhan430223China College of Civil Engineering and Architecture Dalian UniversityDalian116622China Henan International Joint Laboratory of Structural Mechanics and Computational Simulation School of Architecture and Civil EngineeringHuanghuai UniversityZhumadian463000China

A new approach for flexoelectricmaterial shape optimization is proposed in this *** this work,a proxymodel based on artificial neural network(ANN)is used to solve the parameter optimization and shape optimization *** improve the fitting ability of the neural network,we use the idea of pre-training to determine the structure of the neural network and combine different optimizers for *** isogeometric analysis-finite element method(IGA-FEM)is used to discretize the flexural theoretical formulas and obtain samples,which helps ANN to build a proxy model from the model shape to the target *** effectiveness of the proposed method is verified through two numerical examples of parameter optimization and one numerical example of shape optimization.

关键词： Shape optimization deep learning flexoelectric structure finite element method isogeometric

Wearable pressure sensors based on antibacterial and porous chitosan hydrogels for full-range human motion detection

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Technological Sciences) 2024年第8期67卷 2475-2484页

作者： ZHANG YingXin LIU HanGuang JIN ShunYu LI YaJuan ZHANG Wan zhou Hang NIE ZanXiang huang yuan School of Microelectronics Science and Technology Sun Yat-sen UniversityGuangzhou 510275China Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of ChinaHefei 230022China Department of Clinical Laboratory the First Affiliated Hospital of Anhui Medical UniversityHefei 230022China School of Electronic and Computer Engineering Peking University Shenzhen Graduate SchoolShenzhen 518055China Zinergy Shenzhen Ltd. Shenzhen 518109China

Wearable pressure sensors made from conductive hydrogels hold significant potential in health ***,limited pressure range(Pa to hundreds of kPa)and inadequate antibacterial properties restrict their practical applications in diagnostic and health ***,a wearable high-performance pressure sensor was assembled using a facilely prepared porous chitosan-based hydrogel,which was constructed from commercial phenolphthalein particles as a sacrificial *** relationship between the porosity of hydrogels and sensing performance of sensors was systematically ***,the wearable pressure sensor,featuring an optimized porosity of hydrogels,exhibits an ultrawide sensing capacity from 4.83 Pa to 250 k Pa(range-to-limit ratio of 51,760)and high sensitivity throughout high pressure ranges(0.7 kPa~(-1),120–250 kPa).The presence of chitosan endows these hydrogels with outstanding antibacterial performance against *** and ***,making them ideal candidates for use in wearable *** features allow for a practical approach to monitor full-range human motion using a single device with a simple structure.

关键词： porous hydrogels antibacterial performances wearable pressure sensors full-range human motion chitosan

Discovery potential of the Glashow resonance in an air shower neutrino telescope

在线全文

学校读者我要写书评

暂无评论

Chinese Physics C 2024年第8期48卷 266-275页

作者： Guo-yuan huang School of Mathematics and Physics China University of GeosciencesWuhan 430074China Max-Planck-Institut für Kernphysik Saupfercheckweg 169117 HeidelbergGermany

The in-ice or in-water Cherenkov neutrino telescope,such as IceCube,has already proved its power in measuring the Glashow resonance by searching for the bump around E_(ν)=6.3PeV arising from the W-boson *** are many proposals for the next few decades for observations of cosmic tau neutrinos with extensive air showers,also known as tau neutrino *** air shower telescope is,in principle,sensitive to the Glashow resonance via the channel W→τν_(τ)followed by the tau decay in the air(e.g.,TAMBO,which has a geometric area of approximately 500km^(2)).Using a thorough numerical analysis,we find that the discovery significance can be up to 90%with a TAMBO-like setup if PeV neutrinos primarily originate from neutron decays,considering the flux parameters measured by IceCube as the *** presence of new physics affecting the neutrino flavor composition can also increase the ***,if ultrahigh-energy neutrinos are dominantly produced from meson decays,it will be statistically difficult for an advanced proposal such as TAMBO to discriminate the Glashow resonance induced byν¯e from the intrinsicντ/ν¯_(τ)*** have identified several limitations for such advanced telescopes,in comparison with the in-ice or in-water telescope,when measuring resonances:(i)a suppressed branching ratio of 11%for the decay W→τν_(τ);(ii)the smearing effect and reduced acceptance because the daughter neutrino takes away(y)∼75%of the energy from the W decay;and(iii)a large attenuation effect for Earth-skimming neutrinos with the resonance.

关键词： Ultrahigh-energy neutrinos Neutrino telescopes Glashow resonance

Interference mitigation and target detection for automotive FMCW radar with range-Doppler sparse regularization

在线全文

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2024年第09期67卷 342-343页

作者： Yan huang Yunxuan WANG Xiao zhou Hui ZHANG yuan MAO Guisheng LIAO Wei HONG State Key Lab of Millimeter Waves Southeast University Department of Computer Science University College London National Key Lab of Radar Signal Processing Xidian University

The invention of vehicles has shaped our modern society and accelerated our economy while causing many tragic incidents simultaneously. Some advanced driver-assistance systems(ADAS) based on surrounding environment se... 详细信息

关键词： Radar interference

同方期刊数据库

Identification of differentially expressed mRNAs as novel predictive biomarkers for gastric cancer diagnosis and prognosis

在线全文

学校读者我要写书评

暂无评论

World Journal of Gastrointestinal Oncology 2024年第5期16卷 1947-1964页

作者： Jian-Wei zhou Yi-Bing Zhang Zhi-Yang huang Yu-Ping yuan Jie Jin Department of Gastroenterology Wenzhou Central HospitalDingli Clinical College of Wenzhou Medical UniversityThe Second Affiliated Hospital of Shanghai UniversityWenzhou 325000Zhejiang ProvinceChina

BACKGROUND Gastric cancer(GC)has a high mortality rate *** significant progress in GC diagnosis and treatment,the prognosis for affected patients still remains *** To identify important candidate genes related to the development of GC and iden-tify potential pathogenic mechanisms through comprehensive bioinformatics *** The Gene Expression Omnibus database was used to obtain the GSE183136 dataset,which includes a total of 135 GC *** limma package in R software was employed to identify differentially expressed genes(DEGs).Thereafter,enrichment analyses of Gene Ontology(GO)terms and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways were performed for the gene modules using the clusterProfile package in R *** protein-protein interaction(PPI)networks of target genes were constructed using STRING and visualized by Cytoscape *** common hub genes that emerged in the cohort of DEGs that was retrieved from the GEPIA database were then screened using a Venn *** expression levels of these overlapping genes in stomach adenocarcinoma samples and non-tumor samples and their association with prognosis in GC patients were also obtained from the GEPIA database and Kaplan-Meier ***,real-time quantitative polymerase chain reaction(RT-qPCR)and western blotting were performed to determine the mRNA and protein levels of glutamic-pyruvic transaminase(GPT)in GC and normal immortalized cell *** addition,cell viability,cell cycle distribution,migration and invasion were evaluated by cell counting kit-8,flow cytometry and transwell ***,we also conducted a retrospective analysis on 70 GC patients diagnosed and surgically treated in Wenzhou Central Hospital,Dingli Clinical College of Wenzhou Medical University,The Second Affiliated Hospital of Shanghai University between January 2017 to December *** tumor and adjacent normal samples were collected from the patients to determine the

关键词： Gastric cancer Differentially expressed genes Bioinformatics Hub genes Prognosis