检索结果-南通市图书馆

High-throughput fluorescent screening of thioredoxin reductase inhibitors to inhibit Mycobacterium tuberculosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Chemical Letters 2024年第3期35卷 358-362页

作者： Fei yan Xin Zhao Ruibo Li Xiuyan Han Qiulong yan Lei Feng Xiulan Xin Jingnan cui Xiaochi Ma Second Affiliated Hospital Dalian Medical UniversityDalian 116044China State Key Laboratory of Fine Chemicals Dalian University of TechnologyDalian 116024China Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy Xuzhou Medical UniversityXuzhou 221004China School of Chemistry and Chemical Engineering Henan Normal UniversityXinxiang 453007China College of Bioengineering Beijing PolytechnicBeijing 100029China

Tuberculosis(TB)is a chronic infectious disease,which is caused by the pathogen Mycobacterium tuberculosis(Mtb)and reemerged as a global health risk with a significant proportion of multi-drug resistant and extensively drug resistant TB *** is very urgent to find some novel high-confidence drug targets in Mtb for discovering the effective anti-TB *** reductase(TrxR)has been identified to be a highly viable target for anti-TB drugs for its important role in protecting the pathogen from thiol-specific oxidizing stress,regulating intracellular dithiol/disulfide homeostasis and DNA replication and *** the present work,a near-infrared(NIR)fluorescent probe DDAT was developed for the detection of TrxR activity and used to high-throughput screen the TrxR inhibitors from natural *** screened TrxR inhibitors from Sappan Lignum and microbial metabolites that were further used to inhibit Mycobacterium *** the results indicate that DDAT is a practical fluorescent molecular tool for the discovery of potential anti-TB drugs.

关键词： Thioredoxin reductase NIR fluorescent probe Fluorescence imaging High-throughput screening inhibitors Inhibit Mycobacterium tuberculosis

Adaptive Integrated Coastal Zone Planning:History,Challenges,Advances,and Perspectives

在线全文

学校读者我要写书评

暂无评论

Chinese Geographical Science 2024年第4期34卷 599-617页

作者： WANG Xinyi SU Fenzhen WANG Xuege PAN Tingting cui Yikun LYNE Vincent yan Fengqin State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of ScienceBeijing 100049China School of Geography and Ocean Sciences Nanjing UniversityNanjing 210023China Institute for Marine and Antarctic Studies University of TasmaniaTasmania 7004Australia

Coastal zones are dynamic,rich environments,now densely populated,and increasingly challenged by human and climatechange *** long-term integrated coastal zone planning is needed to ensure sustainable environmental protection and economic *** this study,we reviewed the history of coastal zone planning since its birth in the 1950s based on the literature retrieved from the Web of Science(Core Collection)from 2000–2023,then summarized the tools and spatial allocation methods commonly used in the planning process,and finally proposed potential solutions to the challenges *** results show that after decades of development,coastal zone planning has changed from a decentralized activity to a targeted and integrated one,with an increasing emphasis on the ecosystem approach and the use of multiple planning *** analysis techniques and environmental modelling software have become increasingly *** programming and overlay analysis are common approaches when performing spatial optimization,but land-sea interactions and planning in the marine parts still lack in-depth analysis and practical *** are also aware that the challenges posed by the integration of administrative hierarchies,scoping and conservation objectives,stakeholder participation,consideration of social dimensions,and climate change are pervasive throughout the planning *** is an urgent need to develop more flexible and accurate spatial modelling tools,as well as more efficient participatory methods,and to focus on the holistic nature of the land-sea system to create more resilient and sustainable coastal zones.

关键词： Integrated Coastal Zone Management(ICZM) coastal zone planning spatial optimization ecosystem-based management

Study on creep deformation and energy development of underground surrounding rock under four‐dimensional support

在线全文

学校读者我要写书评

暂无评论

Deep Underground Science and Engineering 2024年第1期3卷 25-38页

作者： Zhanguo Ma Junyu Sun Peng Gong Pengfei yan Nan cui Ruichong Zhang School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhouChina State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering China University of Mining and TechnologyXuzhouChina Department of Mining Engineering Colorado School of MinesGoldenUSA

There is an urgent need to develop optimal solutions for deformation control of deep high‐stress roadways,one of the critical problems in underground *** previously proposed four‐dimensional support(hereinafter 4D support),as a new support technology,can set the roadway surrounding rock under three‐dimensional pressure in the new balanced structure,and prevent instability of surrounding rock in underground ***,the influence of roadway depth and creep deformation on the surrounding rock supported by 4D support is still *** study investigated the influence of roadway depth and creep deformation time on the instability of surrounding rock by analyzing the energy *** elastic strain energy was analyzed using the program redeveloped in *** numerical simulation results indicate that the combined support mode of 4D roof supports and conventional side supports is highly applicable to the stability control of surrounding rock with a roadway depth exceeding 520 *** the increase of roadway depth,4D support can effectively restrain the area and depth of plastic deformation in the surrounding ***,4D support limits the accumulation range and rate of elastic strain energy as the creep deformation time increases.4D support can effectively reduce the plastic deformation of roadway surrounding rock and maintain the stability for a long deformation period of 6 *** confirmed by in situ monitoring results,4D support is more effective for the long‐term stability control of surrounding rock than conventional support.

关键词： coal mines elastic strain energy four‐dimensional support large roadway depth long‐term stability control plastic deformation surrounding rock

The effect of fasting plasma glucose on in-hospital mortality after acute myocardial infarction in patients with and without diabetes:findings from a prospective,nationwide,and multicenter registry

在线全文

学校读者我要写书评

暂无评论

Journal of Geriatric Cardiology 2024年第5期21卷 523-533页

作者： Rui FU Ying-Xuan ZHU Kong-Yong cui Jin-Gang yanG Hai-yan XU Dong YIN Wei-Hua SONG hong-Jian WANG Cheng-Gang ZHU Lei FENG Wei WU Kai-hongCHEN yan-yan ZHAO Ye LU Ke-Fei DOU Yue-Jin yanG on behalf of the CAMI Registry Investigators Cardiometabolic Medicine Center Fuwai HospitalNational Center for Cardiovascular DiseasesState Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Medical Research&Biometrics Center Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Coronary Heart Disease Center Fuwai HospitalNational Center for Cardiovascular DiseasesState Key Laboratory of Cardiovascular DiseaseNational Clinical Research Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Cardiology Guangzhou Traditional Chinese Medical College First Affiliated HospitalGuangdong ProvinceChina Department of Cardiology Longyan Hospital First HospitalFujian ProvinceChina 不详

OBJECTIVES To evaluate the predictive value of fasting plasma glucose(FPG)for in-hospital mortality in patients with acute myocardial infarction(AMI)with different glucose metabolism *** We selected 5,308 participants with AMI from the prospective,nationwide,multicenter CAMI registry,of which 2,081 were diabetic and 3,227 were *** were divided into high FPG and low FPG groups according to the optim-al cutoff values of FPG to predict in-hospital mortality for diabetic and nondiabetic cohorts,*** primary endpoint was in-hospital *** Overall,94 diabetic patients(4.5%)and 131 nondiabetic patients(4.1%)died during hospitalization,and the optimal FPG thresholds for predicting in-hospital death of the two cohorts were 13.2 mmol/L and 6.4 mmol/L,*** with individuals who had low FPG,those with high FPG were significantly associated with higher in-hospital mortality in diabet-ic cohort(10.1%vs.2.8%;odds ratio[OR]=3.862,95%confidence interval[CI]:2.542-5.869)and nondiabetic cohort(7.4%vs.1.7%;HR=4.542,95%CI:3.041-6.782).After adjusting the potential confounders,this significant association was not ***-more,FPG as a continuous variable was positively associated with in-hospital mortality in single-variable and multivariable models regardless of diabetic *** FPG to the original model showed a significant improvement in C-statistic and net reclassification in diabetic and nondiabetic *** This large-scale registry indicated that there is a strong positive association between FPG and in-hospital mor-tality in AMI patients with and without *** might be useful to stratify patients with AMI.

关键词： patients fasting infarction

Construction of cytomegalovirus promoter-driven gene expression system in Laodelphax striatellus

在线全文

学校读者我要写书评

暂无评论

Insect Science 2024年第3期31卷 720-732页

作者： Xiaohui Cheng Wan Zhao Guohua Liang hong Lu Yumei Fu Yiming Li Feng cui State Key Laboratory of Integrated Management of Pest Insects and Rodents Insttute of ZoologyChinese Academy of SciencesBejingChina University of Chinese Academy of Sciences BejingChina School of Life Sciences Hebei UniversityBaodingHebei China Key Laboratory of Animal Ecology and Conservation Biology Institute of ZoologyChinese Academy of SciencesBejingChina Institute of Wetland Ecology&Clone Ecologyl Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation Taizhou UniversityTaizhouZhejiangChina

The small brown planthopper(SBPH,Laodelphax striatellus)is a significant rice pest,responsible for transmitting rice stripe virus(RSV)in a persistent and propagative *** is one of the most detrimental rice viruses,causing rice stripe disease,which results in considerable loss of rice grain *** RNA interference and gene knockout techniques have enabled gene downregulation in SBPH,no system currently exists for the overexpression of endogenous or exogenous ***,the development of a protein expression system for SBPH is imperative to serve as a technical foundation for pest control and gene function *** study aimed to construct an expression vector using the promoter of the constitutive-expressed tubulin gene of SBPH,and promoter of human cytomegalovirus(CMV).Fluorescence experiments demonstrated that both tubulin and CMV promoter could drive green fluorescent protein(GFP)expression in SBPH,and could also facilitate the expression of a nucleocapsid protein(NP)-GFP fusion protein containing viral NP with comparable *** expression vector optimization,we have identified that the 3 tandem CMV promoters display a significantly higher promoter activity compared with both the 2 tandem CMV promoters and the single CMV *** addition,the incorporation of Star polycation nanoparticles significantly enhanced the expression efficiency in *** results provide a promising technical platform for investigating gene functions in SBPH.

关键词： cytomegalovirus promoter gene expression system nanoparticle small brown planthopper

Current status of Mycoplasma pneumoniae infection in China

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Pediatrics 2024年第1期20卷 1-4页

作者： Chao yan Guan-Hua Xue Han-Qing Zhao yan-Ling Feng Jing-Hua cui Jing Yuan Department of Bacteriology Capital Institute of PediatricsNo.2Yabao RoadBeijing 100020People's Republicof China

Mycoplasma pneumoniae(***)is one of the most important pathogens for community-acquired pneumonia worldwide,especially in children and adolescents[1,2].*** is easily transmitted through droplets or direct contact in densely populated,enclosed,or poorly ventilated *** incubation period is 1-3 weeks,and it is contagious from the incubation period to a few weeks after clinical symptom *** infection can occur in any season,and there are differences in the epidemic seasons among regions in China[3].The most suitable culture temperature for *** is between 35℃C and 37 C,and therefore,hot weather may make it survive longer in the environment and spread *** is more common in autumn and winter in northern China,while it is more prevalent in summer and autumn in southern China.

关键词： winter weather autumn

LKPNR: Large Language Models and Knowledge Graph for Personalized News Recommendation Framework

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第6期79卷 4283-4296页

作者： Hao Chen Runfeng Xie Xiangyang cui Zhou yan Xin Wang Zhanwei Xuan Kai Zhang State Key Laboratory of Communication Content Cognition People’s Daily OnlineBeijing100733China

Accurately recommending candidate news to users is a basic challenge of personalized news recommendation *** methods are usually difficult to learn and acquire complex semantic information in news texts,resulting in unsatisfactory recommendation ***,these traditional methods are more friendly to active users with rich historical ***,they can not effectively solve the long tail problem of inactive *** address these issues,this research presents a novel general framework that combines Large Language Models(LLM)and Knowledge Graphs(KG)into traditional *** learn the contextual information of news text,we use LLMs’powerful text understanding ability to generate news representations with rich semantic information,and then,the generated news representations are used to enhance the news encoding in traditional *** addition,multi-hops relationship of news entities is mined and the structural information of news is encoded using KG,thus alleviating the challenge of long-tail *** results demonstrate that compared with various traditional models,on evaluation indicators such as AUC,MRR,nDCG@5 and nDCG@10,the framework significantly improves the recommendation *** successful integration of LLM and KG in our framework has established a feasible way for achieving more accurate personalized news *** code is available at https://***/Xuan-ZW/LKPNR.

关键词： Large language models news recommendation knowledge graphs(KG)

Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Petroleum Science 2024年第4期21卷 2329-2344页

作者： Jiu-Qiang yang Nian-Tian Lin Kai Zhang yan cui Chao Fu Dong Zhang College of Earth Sciences and Engineering Shandong University of Science and Technology Laboratory for Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology Transportation Institute of Inner Mongolia University Key Laboratory of Gas Hydrate Qingdao Institute of Marine Geology Ministry of Natural Resources

Conventional machine learning(CML) methods have been successfully applied for gas reservoir prediction. Their prediction accuracy largely depends on the quality of the sample data; therefore, feature optimization of the input samples is particularly important. Commonly used feature optimization methods increase the interpretability of gas reservoirs; however, their steps are cumbersome, and the selected features cannot sufficiently guide CML models to mine the intrinsic features of sample data efficiently. In contrast to CML methods, deep learning(DL) methods can directly extract the important features of targets from raw data. Therefore, this study proposes a feature optimization and gas-bearing prediction method based on a hybrid fusion model that combines a convolutional neural network(CNN)and an adaptive particle swarm optimization-least squares support vector machine(APSO-LSSVM). This model adopts an end-to-end algorithm structure to directly extract features from sensitive multicomponent seismic attributes, considerably simplifying the feature optimization. A CNN was used for feature optimization to highlight sensitive gas reservoir information. APSO-LSSVM was used to fully learn the relationship between the features extracted by the CNN to obtain the prediction results. The constructed hybrid fusion model improves gas-bearing prediction accuracy through two processes of feature optimization and intelligent prediction, giving full play to the advantages of DL and CML methods. The prediction results obtained are better than those of a single CNN model or APSO-LSSVM model. In the feature optimization process of multicomponent seismic attribute data, CNN has demonstrated better gas reservoir feature extraction capabilities than commonly used attribute optimization methods. In the prediction process, the APSO-LSSVM model can learn the gas reservoir characteristics better than the LSSVM model and has a higher prediction accuracy. The constructed CNN-APSO-LSSVM mode

关键词： Multicomponent seismic data Deep learning Adaptive particle swarm optimization Convolutional neural network Least squares support vector machine Feature optimization Gas-bearing distribution prediction

Dynamic emission characteristics and control strategies of air pollutants from motor vehicles in downtown Beijing,China

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Environmental Sciences 2024年第2期136卷 637-646页

作者： yan Shen Tongran Wu Aiping Lian Jie Gao Fei Peng Guohua Song Xuefang Wu yangyang cui Xinyu Liu Yunfei Wan Jing yan Yifeng Xue National Engineering Research Center of Urban Environmental Pollution Control Beijing Municipal Research Institute of Eco-Environmental ProtectionBeijing 100037China Beijing Municipal Ecology and Environment Bureau Beijing 100048China Beijing Jiaotong University Beijing 100091China

This study combined the real-time monitoring and investigation of traffic flows to comprehensively analyze the road traffic flow and vehicle structure in downtown Beijing.A dynamic emission inventory of motor vehicle air pollutants in downtown Beijing in 2021 was established,and the impact of these emissions on air quality was simulated and quantified,and different emission reduction control scenarios were proposed to evaluate their environmental improvement effects and explore measures to mitigate the impact of pollution *** results show that the high traffic flow and the structure of the motor vehicle emissions in downtown Beijing are the main causes of severe motor vehicle *** data shows that traffic flow in central Beijing is dominated by small passenger vehicles,while the vehicle mix is better than in other regions,with 72.0%of vehicles meeting"National V"or higher emission ***,to achieve higher air quality goals,further reducing vehicle emissions is *** on dynamic traffic flow,the average daily emissions of nitrogen oxides(NOX),particulate matters(PM_(2.5))and volatile organic compounds(VOC)from motor vehicles in central Beijing are 17.7 tons,0.6 tons and 14.0 tons,respectively,accounting for 23.0%of the city’s average daily motor vehicle *** a zero-emission zone for motor vehicles were implemented in central Beijing,the annual average emission level of pollutants will be reduced by 10.4%to 21.0%.The designation of ultra-low emission zones for motor vehicles could be effective in improving the air quality in the center of Beijing.

关键词： Motor vehicle Air pollutant Emission characteristics Control strategy Beijing