检索结果-南通市图书馆

Operando NMR methods for studying electrocatalysis

同方期刊数据库博看期刊评论

在线全文

学校读者我要写书评

暂无评论

Magnetic Resonance Letters 2024年第2期4卷 54-64页

作者： Zhiyu Zhu Ruipeng luo Evan Wenbo zhao Magnetic Resonance Research Center Institute for Molecules and MaterialsRadboud University6525 AJ Nijmegenthe Netherlands

The combination of electrochemical measurements with spectroscopic characterizations provides valuable insights into reaction mechanisms.Nuclear magnetic resonance(NMR)spectroscopy,as a powerful technique due to its atomic specificity and versatility in studying gas,liquid,and solid,allows the study of electrolyte solution,catalyst and catalyst-adsorbate interfaces.When applied in operando,NMR can offer molecular-level insights into various electrochemical processes.Operando NMR has been applied extensively in battery research,but relatively underexplored for electrocatalysis in the past two decades.In this mini review,we first introduce the operando electrochemical NMR setups,categorized by different probe designs.Then we review the applications of operando NMR for monitoring the electrolyte solution and the catalyst-adsorbate interface.Considering the high environmental impact of electrochemical conversion of CO_(2)into value-added products,we zoom in to the use of operando NMR in studying electrochemical CO_(2)reduction.Finally,we provide our perspective on further developing and applying operando NMR methods for understanding the complex reaction network of Cu-catalyzed electrochemical CO_(2)reduction.

关键词： Operando NMR In situ NMR EC-NMR Electrocatalysis Electrochemical CO_(2)reduction

Lipid metabolism analysis in esophageal cancer and associated drug discovery

在线全文

学校读者我要写书评

暂无评论

Journal of Pharmaceutical Analysis 2024年第1期14卷 1-15页

作者： Ruidi Jiao Wei Jiang Kunpeng Xu Qian luo Luhua Wang Chao zhao Bionic Sensing and Intelligence Center Institute of Biomedical and Health EngineeringShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital&Shenzhen HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeShenzhenGuangdong518116China School of Medicine Southern University of Science and TechnologyShenzhenGuangdong518000China University of Chinese Academy of Sciences Beijing100049China Shenzhen Key Laboratory of Precision Diagnosis and Treatment of Depression Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong518000China

Esophageal cancer is an upper gastrointestinal malignancy with a bleak prognosis.It is still being explored in depth due to its complex molecular mechanisms of occurrence and development.Lipids play a crucial role in cells by participating in energy supply,biofilm formation,and signal transduction processes,and lipid metabolic reprogramming also constitutes a significant characteristic of malignant tumors.More and more studies have found esophageal cancer has obvious lipid metabolism abnormalities throughout its beginning,progress,and treatment resistance.The inhibition of tumor growth and the enhancement of antitumor therapy efficacy can be achieved through the regulation of lipid metabolism.Therefore,we reviewed and analyzed the research results and latest findings for lipid metabolism and associated analysis techniques in esophageal cancer,and comprehensively proved the value of lipid metabolic reprogramming in the evolution and treatment resistance of esophageal cancer,as well as its significance in exploring potential therapeutic targets and biomarkers.

关键词： Lipid metabolism Esophageal cancer Progression Treatment resistance New therapeutic targets

Inhibiting MMP13 Attenuates Deep Vein Thrombosis in a Mouse Model by Reducing the Expression of Pdpn

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Current Medical Science 2024年第2期44卷 369-379页

作者： Ji luo Jin ZHOU Jing-zeng luo Hai-long WANG Xue-ling zhao Ru-dan ZHOU Department of Intensive Care Unit The First People's Hospital of ZiyangZiyang 641300China Department of Orthopedics Kunming Medical University Second Affiliated HospitalKunming 650033China Department of Orthopedics Kunming Medical University First Affiliated HospitalKunming 650032China Department of Orthopedics The Third People's Hospital of Yunnan ProvinceKunming 650200China

Objective:Matrix metalloproteinase 13(MMP13)is an extracellular matrix protease that affects the progression of atherosclerotic plaques and arterial thrombi by degrading collagens,modifying protein structures and regulating inflammatory responses,but its role in deep vein thrombosis(DVT)has not been determined.The purpose of this study was to investigate the potential effects of MMP13 and MMP13-related genes on the formation of DVT.Methods:We altered the expression level of MMP13 in vivo and conducted a transcriptome study to examine the expression and relationship between MMP13 and MMP13-related genes in a mouse model of DVT.After screening genes possibly related to MMP13 in DVT mice,the expression levels of candidate genes in human umbilical vein endothelial cells(HUVECs)and the venous wall were evaluated.The effect of MMP13 on platelet aggregation in HUVECs was investigated in vitro.Results:Among the differentially expressed genes,interleukin 1 beta,podoplanin(Pdpn),and factor VIII von Willebrand factor(F8VWF)were selected for analysis in mice.When MMP13 was inhibited,the expression level of PDPN decreased significantly in vitro.In HUVECs,overexpression of MMP13 led to an increase in the expression level of PDPN and induced platelet aggregation,while transfection of PDPN-siRNA weakened the ability of MMP13 to increase platelet aggregation.Conclusions:Inhibiting the expression of MMP13 could reduce the burden of DVT in mice.The mechanism involves downregulating the expression of Pdpn through MMP13,which could provide a novel gene target for DVT diagnosis and treatment.

关键词： deep vein thrombosis matrix metalloproteinase 13 podoplanin

A Survey of Knowledge Graph Construction Using Machine Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第4期139卷 225-257页

作者： Zhigang zhao Xiong luo Maojian Chen Ling Ma School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Shunde Innovation School University of Science and Technology BeijingFoshan528399China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083China

Knowledge graph(KG)serves as a specialized semantic network that encapsulates intricate relationships among real-world entities within a structured framework.This framework facilitates a transformation in information retrieval,transitioning it from mere string matching to far more sophisticated entity matching.In this transformative process,the advancement of artificial intelligence and intelligent information services is invigorated.Meanwhile,the role ofmachine learningmethod in the construction of KG is important,and these techniques have already achieved initial success.This article embarks on a comprehensive journey through the last strides in the field of KG via machine learning.With a profound amalgamation of cutting-edge research in machine learning,this article undertakes a systematical exploration of KG construction methods in three distinct phases:entity learning,ontology learning,and knowledge reasoning.Especially,a meticulous dissection of machine learningdriven algorithms is conducted,spotlighting their contributions to critical facets such as entity extraction,relation extraction,entity linking,and link prediction.Moreover,this article also provides an analysis of the unresolved challenges and emerging trajectories that beckon within the expansive application of machine learning-fueled,large-scale KG construction.

关键词： Knowledge graph(KG) semantic network relation extraction entity linking knowledge reasoning

Uniaxial Compressive Strength Prediction for Rock Material in Deep Mine Using Boosting-Based Machine Learning Methods and Optimization Algorithms

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第7期140卷 275-304页

作者： Junjie zhao Diyuan Li Jingtai Jiang Pingkuang luo School of Resources and Safety Engineering Central South UniversityChangsha410083China

Traditional laboratory tests for measuring rock uniaxial compressive strength(UCS)are tedious and timeconsuming.There is a pressing need for more effective methods to determine rock UCS,especially in deep mining environments under high in-situ stress.Thus,this study aims to develop an advanced model for predicting the UCS of rockmaterial in deepmining environments by combining three boosting-basedmachine learning methods with four optimization algorithms.For this purpose,the Lead-Zinc mine in Southwest China is considered as the case study.Rock density,P-wave velocity,and point load strength index are used as input variables,and UCS is regarded as the output.Subsequently,twelve hybrid predictive models are obtained.Root mean square error(RMSE),mean absolute error(MAE),coefficient of determination(R2),and the proportion of the mean absolute percentage error less than 20%(A-20)are selected as the evaluation metrics.Experimental results showed that the hybridmodel consisting of the extreme gradient boostingmethod and the artificial bee colony algorithm(XGBoost-ABC)achieved satisfactory results on the training dataset and exhibited the best generalization performance on the testing dataset.The values of R2,A-20,RMSE,and MAE on the training dataset are 0.98,1.0,3.11 MPa,and 2.23MPa,respectively.The highest values of R2 and A-20(0.93 and 0.96),and the smallest RMSE and MAE values of 4.78 MPa and 3.76MPa,are observed on the testing dataset.The proposed hybrid model can be considered a reliable and effective method for predicting rock UCS in deep mines.

关键词： Uniaxial compression strength strength prediction machine learning optimization algorithm

Emerging delivery systems based on aqueous two-phase systems:A review

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Pharmaceutica Sinica B 2024年第1期14卷 110-132页

作者： Yaowen Zhang Yankun luo Jingqi zhao Wenzhuo Zheng Jun Zhan Huaping Zheng Feng luo State Key Laboratory of Oral Diseases National Clinical Research Center for Oral DiseasesWest China School of StomatologySichuan UniversityChengdu 610041China Department of Obstetrics and Gynecology West China Second University HospitalSichuan UniversityChengdu 610041China Key Laboratory of Birth Defects and Related Diseases of Women and Children(Sichuan University) Ministry of EducationChengdu 610041China Department of Dermatology Rare Diseases CenterInstitutes for Systems GeneticsFrontiers Science Center for Disease-related Molecular NetworkWest China HospitalSichuan UniversityChengdu 610041China Department of Prosthodontics West China School of StomatologySichuan UniversityChengdu 610041China

The aqueous two-phase system(ATPS)is an all-aqueous system fabricated from two immiscible aqueous phases.It is spontaneously assembled through physical liquid-liquid phase separation(LLPS)and can create suitable templates like the multicompartment of the intracellular environment.Delicate structures containing multiple compartments make it possible to endow materials with advanced functions.Due to the properties of ATPSs,ATPS-based drug delivery systems exhibit excellent biocompatibility,extraordinary loading efficiency,and intelligently controlled content release,which are particularly advantageous for delivering drugs in vivo.Therefore,we will systematically review and evaluate ATPSs as an ideal drug delivery system.Based on the basic mechanisms and influencing factors in forming ATPSs,the transformation of ATPSs into valuable biomaterials is described.Afterward,we concentrate on the most recent cutting-edge research on ATPS-based delivery systems.Finally,the potential for further collaborations between ATPS-based drug-carrying biomaterials and disease diagnosis and treatment is also explored.

关键词： Aqueous two-phase systems Drug delivery systems Biomaterials Microcapsules Microparticles Cell therapy Cancer treatment Organ regeneration

Geometric error measuring,modeling,and compensation for CNC machine tools:A review

在线全文

学校读者我要写书评

暂无评论

Chinese Journal of Aeronautics 2024年第2期37卷 163-198页

作者： zhao ZHANG Feng JIANG Ming luo Baohai WU Dinghua ZHANG Kai TANG Engineering Research Center of Advanced Manufacturing Technology for Aero Engine(Northwestern Polytechnical University) Ministry of EducationXi’an 710072China Key Laboratory of High Performance Manufacturing for Aero Engine(Northwestern Polytechnical University) Ministry of Industry and Information TechnologyXi’an 710072China Department of Mechanical and Aerospace Engineering Hong Kong University of Science and TechnologyHong KongChina

Geometric error,mainly due to imperfect geometry and dimensions of machine components,is one of the major error sources of machine tools.Considering that geometric error has significant effects on the machining quality of manufactured parts,it has been a popular topic for academic and industrial research for many years.A great deal of research work has been carried out since the 1970s for solving the problem and improving the machining accuracy.Researchers have studied how to measure,detect,model,identify,reduce,and compensate the geometric errors.This paper presents a thorough review of the latest research activities and gives an overview of the state of the art in understanding changes in machine tool performance due to geometric errors.Recent advances in measuring the geometrical errors of machine tools are summarized,and different kinds of error identification methods of translational axes and rotation axes are illustrated respectively.Besides,volumetric geometric error modeling,tracing,and compensation techniques for five-axis machine tools are emphatically introduced.Finally,research challenges in order to improve the volumetric accuracy of machine tools are also highlighted.

关键词： Error compensation Error identification Error measurement Error modeling Geometric error Machine tools

An extended micromechanical-based plastic damage model for understanding water effects on quasi-brittle rocks

在线全文

学校读者我要写书评

暂无评论

International Journal of Mining Science and Technology 2024年第3期34卷 289-304页

作者： Qiaojuan Yu Shigui Du Qizhi Zhu Zhanyou luo Sili Liu Lunyang zhao Institute of Rock Mechanics Ningbo UniversityNingbo 315211China Ningbo Key Laboratory of Energy Geostructure Ningbo UniversityNingbo 315211China College of Civil and Transportation Engineering Hohai UniversityNanjing 210098China College of Civil Engineering Jiangsu Open UniversityNanjing 210036China South China Institution of Geotechnical Engineering School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhou 510641China

Water effects on the mechanical properties of rocks have been extensively investigated through experiments and numerical models.However,few studies have established a comprehensive link between the microscopic mechanisms of water-related micro-crack and the constitutive behaviors of rocks.In this work,we shall propose an extended micromechanical-based plastic damage model for understanding weakening effect induced by the presence of water between micro-crack’s surfaces on quasi-brittle rocks,based on the Mori-Tanaka homogenization and irreversible thermodynamics framework.Regarding the physical mechanism,water strengthens micro-crack propagation,which induces damage evolution during the pre-and post-stage,and weakens the elastic effective properties of rock matrix.After proposing a special calibration procedure for the determination of model parameters based on the laboratory compression tests,the proposed micromechanical-based model is verified by comparing the model predictions to the experimental results.The model effectively captures the mechanical behaviors of quasibrittle rocks subjected to the weakening effects of water.

关键词： Water Micro-crack Damage Micro-mechanics Constitutive model Cohesive force

One-step hydrothermal synthesis of Cit-NaYbF_(4):Er^(3+)nanocrystals with enhanced red upconversion emission for in vivo fluorescence molecular tomography

在线全文

学校读者我要写书评

暂无评论

Journal of Rare Earths 2024年第1期42卷 36-45,I0002页

作者： Xiaoli luo Qichen Chen Hongbo Guo Heng Zhang Xiaowei He Wu zhao School of Mathematics and Computer Science Ningxia Normal UniversityGuyuan756099China School of Information Science and Technology Northwest UniversityXi'an710127China

Fluorescence imaging techniques represent essential tools in in vitro,preclinical,and clinical studies.In this study,an improved one-step hydrothermal method to synthesize citric acid(CA)modifiedα-NaYbF_(4):2%Er^(3+)nanocrystals was proposed.The introduction of various doping ions into NaYbF_(4):2%Er^(3+)and the different valence states of the same ions affect both the crystal size and upconversion luminesce nce.There fore,we investigated the upconversion luminesce nce enha ncement of NaYbF_(4):2%Er^(3+)by ion doping and find that the upconversion luminescence intensity of the upconversion nanoparticles(UCNPs)co-doped with 5 mol%Fe^(2+)ions shows the greatest enhancement,especially for red emission at654 nm.Furthermore,HeLa cells incubated with UCNPs allow for imaging with strong red upconversion emission detectio n.Confocal laser scanning microscope(CLSM)fluorescent images of HeLa cells indicate that NaYbF_(4):2%Er/5%Fe^(2+)leads to a clear outline and improves visualization of the cell morphology.In addition,the CA coated NaYbF_(4):2%Er^(3+)/5%Fe^(2+)nanoparticles and NaYbF_(4):2%Er^(3+)/5%Fe^(2+)show low cytotoxicity in HeLa cells.Organ imaging reveals the efficiency of these UCNPs to analyze the lungs,liver,and spleen.Together,these results indicate that the Cit-NaYbF_(4):2%Er^(3+)/5%Fe^(2+)UCNPs are efficient nanoprobes for fluorescence molecular to mography.

关键词： Hydrothermal method Fe^(2+)ion doping Tuning size Nanoprobes Fluorescence imaging Rare earths