检索结果-南通市图书馆

在线全文

学校读者我要写书评

暂无评论

光释光测年中石英样品提纯方法的改进

地球科学进展 2008年第3期23卷 284-289页

作者：李国强赵晖范育新彭海梅陈发虎兰州大学西部环境教育部重点实验室甘肃兰州730000

为了解决光释光前处理中遇到的传统方法无法获得满足纯度石英的问题,通过大量对比实验,结合玻璃工艺中石英分离研究成果,最后获得了新的石英提纯流程,与传统方法相比,新方法通过化学分离避免了密度变化对石英长石分离的影响,从而解决了... 详细信息

为了解决光释光前处理中遇到的传统方法无法获得满足纯度石英的问题,通过大量对比实验,结合玻璃工艺中石英分离研究成果,最后获得了新的石英提纯流程,与传统方法相比,新方法通过化学分离避免了密度变化对石英长石分离的影响,从而解决了斜长石和岩屑在传统的重液分离中无法剔除的问题,新方法能够获得满足纯度要求和量要求的石英,同时,新方法比传统方法实验室工作效率更高。

关键词：光释光测年石英提纯十二胺浮选

Impact of probiotics-derived extracellular vesicles on livestock gut barrier function

在线全文

学校读者我要写书评

暂无评论

Journal of Animal Science and Biotechnology 2025年第1期16卷 34-48页

作者： Yuhan Zhang Mengzhen Song Jinping fan Xuming Guo Shiyu Tao College of Animal Sciences and Technology Huazhong Agricultural UniversityNo.1 Shizishan StreetHongshan DistrictWuhanHubei Province 430070China

Probiotic extracellular vesicles(pEVs)are biologically active nanoparticle structures that can regulate the intestinal tract through direct or indirect *** enhance the intestinal barrier function in livestock and poultry and help alleviate intestinal *** specific effects of pEVs depend on their internal functional components,including nucleic acids,proteins,lipids,and other *** paper presents a narrative review of the impact of pEVs on the intestinal barrier across various segments of the intestinal tract,exploring their mechanisms of action while highlighting the limitations of current *** the mechanisms through which probiotics oper-ate via pEVs could deepen our understanding and provide a theoretical foundation for their application in livestock production.

关键词： Extracellular vesicles Intestinal barrier Livestock production Probiotics

A Multi-Condition Sequential Network Ensemble for Industrial Energy Storage Prediction Considering the Condition Switching Characteristics

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 369-380页

作者： Tianyu Wang fan Zhou Yangjie Wu Jun Zhao Wei Wang IEEE the School of Control Science and Engineering Dalian University of Technology the School of Information Science and Engineering Dalian Polytechnic University

As a crucial storage and buffering apparatus for balancing the production and consumption of byproduct gases in industrial processes, accurate prediction of gas tank levels is essential for optimizing energy system scheduling. Considering that the continuous switching of the pressure and valve status(mechanism knowledge) would bring about multiple working conditions of the equipment, a multi-condition time sequential network ensembled method is proposed. In order to especially consider the time dependence of different conditions, a centralwise condition sequential network is developed, where the network branches are specially designed based on the condition switching sequences. A branch combination transfer learning strategy is developed to tackle the sample imbalance problem of different condition data. Since the condition or status data are real-time information that cannot be recognized during the prediction process, a pre-trained and ensemble learning approach is further proposed to fuse the outputs of the multi-condition networks and realize a transient-state involved prediction. The performance of the proposed method is validated on practical energy data coming from a domestic steel plant, comparing with the state-of-the-art algorithms. The results show that the proposed method can maintain a high prediction accuracy under different condition switching cases, which would provide effective guidance for the optimal scheduling of the industrial energy systems.

关键词： Ensemble learning industrial energy prediction multi-working condition structural deep network transfer learning

RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2025年第2期68卷 103-119页

作者： Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin fan Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology

Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both entity and relation embedding to make predictions, ignoring the semantic correlations among different entities and relations within the same timestamp. This can lead to random and nonsensical predictions when unseen entities or relations occur. Furthermore, many existing models exhibit limitations in handling highly correlated historical facts with extensive temporal depth. They often either overlook such facts or overly accentuate the relationships between recurring past occurrences and their current counterparts. Due to the dynamic nature of TKG, effectively capturing the evolving semantics between different timestamps can be *** address these shortcomings, we propose the recurrent semantic evidenceaware graph neural network(RE-SEGNN), a novel graph neural network that can learn the semantics of entities and relations simultaneously. For the former challenge, our model can predict a possible answer to missing quadruples based on semantics when facing unseen entities or relations. For the latter problem, based on an obvious established force, both the recency and frequency of semantic history tend to confer a higher reference value for the current. We use the Hawkes process to compute the semantic trend, which allows the semantics of recent facts to gain more attention than those of distant facts. Experimental results show that RE-SEGNN outperforms all SOTA models in entity prediction on 6 widely used datasets, and 5 datasets in relation prediction. Furthermore, the case study shows how our model can deal with unseen entities and relations.

关键词： knowledge graph reasoning temporal knowledge graph Hawkes process semantic evidence

同方期刊数据库

Constructing Pr-doped CoOOH catalytic sites for efficient electrooxidation of 5-hydroxymethylfurfural

在线全文

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2025年第1期100卷 234-244页

作者： Botao fan Hao Zhang Bang Gu Feng Qiu Qiue Cao Wenhao fang School of Chemical Science and Technology Yunnan UniversityKunming 650091YunnanChina National Center for International Research on Photoelectric and Energy Materials School of Materials and EnergyYunnan UniversityKunming 650091YunnanChina

Electrocatalytic conversion of renewable biomass is emerging as a promising route for sustainable chemical production;hence it urgently calls for developing efficient electrocatalysts with low potentials and high current ***,a Pr-doped Co(OH)_(2)hexagonal sheet(Pr/Co=1/9,in mole)is synthesized by electrodeposition as highly performant catalyst for 5-hydroxymethylfurfural(HMF)oxidation reaction(HMFOR)to produce 2,5-furandicarboxylic acid(FDCA).This novel and low-cost catalyst possesses a rather low onset potential of 1.05 V(***)and requires only 1.10 V(***)to reach a current density of 10 mA cm^(-2)for HMFOR,significantly outperforming Co(OH)_(2)benchmark(i.e.,210 mV higher to reach10 m A cm^(-2)).The origin of Pr promotion effect as well as the evolution of CoOOH catalytic sites and HMFOR process has been deeply elucidated by physical characterizations,kinetic experiments,in situ electrochemical techniques,and theoretical *** unique Pr-ameliorated CoOOH active centers enable 100%conversion of HMF,99.6%selectivity of FDCA,and 99.7%Faraday efficiency,with a superior cycling durability toward *** can be one of the most outstanding results for Co-based HMFOR catalysts to date in the *** this work can help open up new horizons for constructing novel and efficient Co-based electrocatalysts by the utilization of lanthanide elements.

关键词： Biomass conversion Electrocatalysis 2,5-Furandicarboxylic acid Doped Co catalyst Co3+active sites Charge transfer rate

在线全文

学校读者我要写书评

暂无评论

中国水仙DFR基因启动子的克隆及功能

应用与环境生物学报 2019年第4期25卷 993-998页

作者：姚红周平范雨昕孙瑞琦 Muhammad Anwar 曾黎辉福建农林大学园艺学院

为了解中国水仙花青素合成途径关键基因DFR(NtDFR)的表达调控以及中国水仙不能合成花青素的分子机制,采用染色体步移法从中国水仙中克隆NtDFR基因起始密码子上游962 bp的启动子序列.生物信息学分析结果表明启动子序列除包含TATA-box、CA... 详细信息

为了解中国水仙花青素合成途径关键基因DFR(NtDFR)的表达调控以及中国水仙不能合成花青素的分子机制,采用染色体步移法从中国水仙中克隆NtDFR基因起始密码子上游962 bp的启动子序列.生物信息学分析结果表明启动子序列除包含TATA-box、CAAT-box等基本启动子元件外,还包含光调控元件、植物激素响应元件、胁迫响应元件等多个顺式作用元件.此外,该启动子序列还含有MYB转录因子结合位点.为验证启动子的表达特性,将NtDFR启动子取代植物表达载体pBI121上35S启动子,构建pBI121-pNtDFR::GUS载体,利用农杆菌转化烟草叶片瞬时表达,通过GUS组织染色法确定了克隆的启动子的活性.将中国水仙R2R3-MYB转录因子NtMYB2、NtMYB5分别和pBI121-pNtDFR::GUS共同注射烟草,定量PCR和GUS组织化学染色结果表明NtMYB2和NtMYB5都使NtDFR启动子诱导的烟草叶片GUS颜色变浅以及GUS基因表达量下降,表明NtMYB2和NtMYB5是NtDFR的抑制因子.本研究结果有助于了解中国水仙花青素合成途径的分子调控机制.

关键词：中国水仙二氢黄酮醇4-还原酶基因启动子功能鉴定

Adaptive VDI Session Placement via User Logoff Prediction

在线全文

学校读者我要写书评

暂无评论

Machine Intelligence Research 2025年第1期22卷 189-200页

作者： Wenping fan Puhui Meng Yu Tian Min-Ling Zhang Yao Zhang School of Computer Science and Engineering Southeast UniversityNanjing210096China VMware Information Technology(China)Limited Beijing100190China Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of EducationNanjing210096China

After the global pandemic,DaaS(desktop as a service)has become the first choice of many companies’remote working *** the desktops are usually deployed in the public cloud when using DaaS,customers are more cost-sensitive which boosts the requirement of proactive power *** researches in this area focus on virtual desktop infrastructure(VDI)session logon behavior modeling,but for the remote desktop service host(RDSH)-shared desktop pools,logoff optimization is also *** systems place sessions by round-robin or in a pre-defined order without considering their logoff ***,these approaches usually suffer from the situation that few left sessions prevent RDSH servers from being powered-off which introduces cost *** this paper,we propose session placement via adaptive user logoff prediction(SODA),an innovative compound model towards proactive RDSH session ***,an ensemble machine learning model that can predict session logoff time is combined with a statistical session placement bucket model to place RDSH sessions with similar logoff time in a more centralized manner on RDSH ***,the infrastructure cost-saving can be improved by reducing the resource waste introduced by those RDSH hosts with very few hanging sessions left for a long *** on real RDSH pool data demonstrate the effectiveness of the proposed proactive session placement approach against existing static placement techniques.

关键词： Virtual desktop infrastructure(VDI)resource management remote desktop service logoff prediction adaptive modeling session placement

Integrating Cu+/Cu0 sites on porous nitrogen-doped carbon nanofibers for stable and efficient CO2 electroreduction to multicarbon products

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

Journal of Energy Chemistry 2025年第2期101卷 453-462页

作者： Yicheng Chao Jiahao Zhang Qinyue Wu Xinfei fan Xie Quan Yanming Liu Key Laboratory of Industrial Ecology and Environmental Engineering (MOE) School of Environmental Science and Technology Dalian University of Technology College of Environmental Science and Engineering Dalian Maritime University Frontier Science Center for Smart Materials Dalian University of Technology

The Cu+/Cu0sites of copper-based catalysts are crucial for enhancing the production of multicarbon(C2+)products from electrochemical CO2reduction reaction（eCO2RR）.However,the unstable Cu+and insufficient Cu+/Cu0active sites lead to their limited selectivity and stability for C2+***,we embedded copper oxide（CuOx） particles into porous nitrogen-doped carbon nanofibers（CuOx@PCNF）by pyrolysis of the electrospun fiber film containing ZIF-8 and Cu2O *** porous nitrogendoped carbon nanofibers protected and dispersed Cu+species,and its micro porous structure enhanced the interaction between CuOxand reactants during *** obtained CuOx@PCNF created more effective and stable Cu+/Cu0active *** showed a high Faradaic efficiency of 62.5% for C2+products in Hcell,which was 2 times higher than that of bare CuOx（～31.1%）.Furthermore,it achieved a maximum Faradaic efficiency of 80.7% for C2+products in flow *** situ characterization and density functional theory（DFT） calculation confirmed that the N-doped carbon layer protected Cu+from electrochemical reduction and lowered the energy barrier for the dimerization of**** and exposed Cu+/Cu0active sites enhanced the enrichment of*CO and promoted the C-C coupling reaction on the catalyst surface,which facilitated the formation of C2+products.

关键词： Carbon nanofibers Cu+/Cu0 sites C–C coupling Electrocatalytic CO2 reduction Multicarbon products

Single-cell technologies: current and near future

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Science China(Life Sciences) 2025年第1期68卷 1-4页

作者： Chenfei Wang Qi Liu Xiaohui fan Tieliu Shi KeyLaboratory of Spine and Spinal CordInjury Repairand Regeneration Ministry of EducationOrthopedics DepartmentTongji HospitalBioinformatics DepartmentSchoolofLifeSciencesandTechnologyTongji UniversityShanghai 200082China Frontier Science Center for Stem Cells School of Life Sciences and TechnologyTongji UniversityShanghai 200092China Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji UniversityShanghai 200082China Research Institute of Intelligent Computing Zhejiang LabHangzhou 311121China Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxing 314103China Center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal UniversityShanghai 200241China Key Laboratory of Advanced Theory and Application in Statistics and Data Science(MOE) School of StatisticsEast China Normal UniversityShanghai 200062China

Single-cell technologies enable the indepth exploration of multiple biological hierarchies at the scale of individual cells,which have deepened our knowledge of cellular diversity,tissue organization,and overall organism function(Sun et al.,2024).In 2009,single-cell RNA sequencing(scRNA-seq)was first developed as a powerful tool to dissect gene expression and uncover transcriptional *** the rapid advancement of technology,single-cell approaches have expanded to encompass other omics,such as genomics,epigenomics,proteomics,and ***,multimodal technologies including spatially resolved transcriptomics and clustered regularly interspaced short palindromic repeats(CRISPR)screening at the single-cell level further advanced our ability to comprehensively understand cellular ***-cell methods provide deeper insights into disease mechanisms across various conditions,including cancer,developmental disorders,and aging-associated *** this issue,we focus on topics related to single-cell methods,covering the following four aspects:(i)single-cell multi-omic sequencing technology;(ii)single-cell spatial technology;(iii)singlecell CRISPR screening technology;(iv)applications of single-cell technology.

关键词： expanded enable insight

同方期刊数据库