检索结果-南通市图书馆

A Missing Power Data Filling Method Based on Improved Random Forest Algorithm

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

Chinese Journal of Electrical Engineering 2019年第4期5卷 33-39页

作者： Wei Deng Yixiu guo Jie Liu yong Li Dingguo Liu Liang zhu State Grid Hunan Power Company Limited Research Institute Changsha 410007China College of Electrical and Information Engineering Hunan UniversityChangsha 410082China State Grid Hunan Electric Power Company Limited Changsha 410004China

Missing data filling is a key step in power big data preprocessing,which helps to improve the quality and the utilization of electric power *** to the limitations of the traditional methods of filling missing data,an improved random forest filling algorithm is *** a result of the horizontal and vertical directions of the electric power data are based on the characteristics of time ***,the method of improved random forest filling missing data combines the methods of linear interpolation,matrix combination and matrix transposition to solve the problem of filling large amount of electric power missing *** filling results show that the improved random forest filling algorithm is applicable to filling electric power data in various missing ***’s more,the accuracy of the filling results is high and the stability of the model is strong,which is beneficial in improving the quality of electric power data.

关键词： Big data cleaning missing data filling data preprocessing random forest data quality

Spectral-domain optical coherence tomography finding in cytomegalovirus retinitis in AIDS patients

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

International Journal of Ophthalmology(English edition) 2020年第11期13卷 1800-1807页

作者： Yan Sheng yong-Zheng guo Li-Jun Xu Biao zhu Department of Ophthalmology the First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou 310003Zhejiang ProvinceChina Department of Infectious Disease the First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou 310003Zhejiang ProvinceChina

AIM:To observe the findings of spectral domain optical coherence tomography(SD-OCT)scan in cytomegalovirus retinitis(CMVR).METHODS:Forty-six eyes of 33 patients with acquired immunodeficiency syndrome and CMVR were enrolled in the *** ophthalmologic examinations,color fundus photography,SD-OCT and fundus autofluorescence(FAF)were performed for all patients at the first visit and each follow-up *** necrosis in CMVR was analyzed on SD-OCT and classified into two types,the typical type and the atypical ***:Forty-one eyes of active CMVR and 4 eyes of recurrent CMVR were classified into typical type,and 4 eyes with graying retinal lesion without hemorrhage or only punctate hemorrhage were classified into atypical *** active stage of CMVR,the retina in typical type was significant thickened with hyperreflective lesion and fullthickness disruption of retinal architecture with enlarged vessel;while in atypical type,the retina was also destroyed in all layers but without thickening or slightly *** choroid,vitreous and retinal vessels were not significantly *** healed stage,the retina was thin with destroyed layers in both *** typical type,FAF showed mottled hypofluorescence mixed with punctuate *** atypical type,the retina showed some"cavity"in outer nuclear layer,and FAF showed mild ***:SD-OCT show different changes in the retina in typical type and atypical type of CMVR,which should be useful in assisting diagnosis and follow-up management of the disease.

关键词： cytomegalovirus retinitis optical coherence tomography fundus autofluorescence

The Electron Transfer Reaction between ρ-Nitrobenzoates and β-N, N-Dimethylaminonaphthalene

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

Chinese Chemical Letters 2003年第2期14卷 159-162页

作者： yong Hui WANG Man Zhou zhu Tao LIU Qing Xiang guo Department of Chemistry University of Science and Technology of ChinaHefei 230026

A few of p-nitrobenzoates were synthesized, and the electron transfer of them with b-N, N-dimethylaminonaphthalene (DMAN) in methanol solution was studied. Steady-state fluore-scence results showed the cyclodextrin moiety in p-nitrobenzoyl-b-cyclodextrin would block the electron transfer pathway from DMAN compared with other electron acceptors, thus, reduced the electron transfer efficiency.

关键词： Electron transfer β-cyclodextrin naphthalene derivatives fluorescence.

Short-Term Synaptic Plasticity Mimicked on Ionic/Electronic Hybrid Oxide Synaptic Transistor Gated by Nanogranular SiO_2 Films

在线全文

学校读者我要写书评

暂无评论

Journal of Materials Science & Technology 2014年第11期30卷 1141-1144页

作者： Zhaojun guo Liqiang guo Liqiang zhu Yuejin zhu Faculty of Science Ningbo University Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences

An indium-zinc-oxide （IZO） based ionic/electronic hybrid synaptic transistor gated by field-configurable nanogranular SiO2 films was reported. The devices exhibited a high current ON/OFF ratio of above 107, a high electron mobility of ～14 cm2 V^-1 s^-1 and a low subthreshold swing of ～80 mV/decade. The gate bias would modulate the interplay between protons and electrons at the channel/dielectric interface. Due to the dynamic modulation of the transient protons flux within the nanogranular SiO2 films, the channel current would be modified dynamically. Short-term synaptic plasticities, such as short-term potentiation and short- term depression, were mimicked on the proposed IZO synaptic transistor. The results indicate that the synaptic transistor proposed here has potential applications in future neuromorphic devices.

关键词： Synaptic transistor Short-term synaptic plasticity Protonic/electronic hybrid

Implementation procedure for the generalized moving Preisach model based on a first order reversal curve diagram

在线全文

学校读者我要写书评

暂无评论

Rare Metals 2009年第4期28卷 355-360页

作者： HAN yong zhu Jie State Key laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing 100083 China

First order reversal curves （FORC） of nanocomposite Nd2Fe14B/Fe3B magnetic materials were measured to attain a FORC diagram, which characterizes reversible magnetization, irreversible magnetization, and magnetic interactions in a hysteresis system. Then, generalized mov- ing Preisach model （GMPM） was implemented based on the FORC diagram. Reversible and irreversible magnetizations shown in FORCs and a FORC diagram were used as an input of GMPM. Coupling interaction between reversible and irreversible magnetizations was added when calculating reversible magnetization. Meanwhile, irreversible magnetic moments＇ interaction was approximately represented by mean field interaction. The result shows that the simulated main curves mostly coincide with the experimental curves.

关键词： FORC diagram Preisach model reversible magnetization irreversible magnetization magnetic interactions

A FAMILY OF THE LOCAL CONVERGENCE OF THE IMPROVED SECANT METHODS FOR NONLINEAR EQUALITY CONSTRAINED OPTIMIZATION SUBJECT TO BOUNDS ON VARIABLES

在线全文

学校读者我要写书评

暂无评论

Journal of Systems Science & Complexity 2014年第2期27卷 307-326页

作者： ZHANG yong zhu Detong School of Mathematics and Physics Changzhou University Mathematics and Science College Shanghai Normal University

This paper studies a family of the local convergence of the improved secant methods for solving the nonlinear equality constrained optimization subject to bounds on variables. The Hessian of the Lagrangian is approximated using the DFP or the BFGS secant updates. The improved secant methods are used to generate a search direction. Combining with a suitable step size, each iterate switches to trial step of strict interior feasibility. When the Hessian is only positive definite in an affine null subspace, one shows that the algorithms generate the sequences converging q-linearly and two-step q-superlinearly. Yhrthermore, under some suitable assumptions, some sequences generated by the algorithms converge locally one-step q-superlinearly. Finally, some numerical results are presented to illustrate the effectiveness of the proposed algorithms.

关键词： Affine scaling local convergence secant methods second order correction.

Non-coding RNAs in acute ischemic stroke:from brain to periphery

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第1期20卷 116-129页

作者： Shuo Li Zhaohan Xu Shiyao Zhang Huiling Sun Xiaodan Qin Lin zhu Teng Jiang Junshan Zhou Fuling Yan Qiwen Deng Department of Neurology Nanjing First HospitalNanjing Medical UniversityNanjingJiangsu ProvinceChina Department of Neurology Zhongda HospitalSchool of MedicineSoutheast UniversityNanjingJiangsu ProvinceChina General Clinical Research Center Nanjing First HospitalNanjing Medical UniversityNanjingJiangsu ProvinceChina

Acute ischemic stroke is a clinical emergency and a condition with high morbidity,mortality,and *** predictive,diagnostic,and prognostic biomarkers and effective therapeutic targets for acute ischemic stroke remain *** innovations in high-throughput gene sequencing analysis,many aberrantly expressed non-coding RNAs(ncRNAs)in the brain and peripheral blood after acute ischemic stroke have been found in clinical samples and experimental *** expressed ncRNAs in the post-stroke brain were demonstrated to play vital roles in pathological processes,leading to neuroprotection or deterioration,thus ncRNAs can serve as therapeutic targets in acute ischemic ***,distinctly expressed ncRNAs in the peripheral blood can be used as biomarkers for acute ischemic stroke prediction,diagnosis,and *** particular,ncRNAs in peripheral immune cells were recently shown to be involved in the peripheral and brain immune response after acute ischemic *** this review,we consolidate the latest progress of research into the roles of ncRNAs(microRNAs,long ncRNAs,and circular RNAs)in the pathological processes of acute ischemic stroke–induced brain damage,as well as the potential of these ncRNAs to act as biomarkers for acute ischemic stroke prediction,diagnosis,and *** from this review will provide novel ideas for the clinical application of ncRNAs in acute ischemic stroke.

关键词： acute ischemic stroke apoptosis blood–brain barrier damage circular RNAs excitatory toxicity long non-coding RNAs microRNAs neuroinflammation non-coding RNAs oxidative stress

Research progress in metal-organic frameworks and their derivatives in electrochemistry

在线全文

学校读者我要写书评

暂无评论

Science China Chemistry 2025年

作者： Lingling Chen Yuxin Liu Yichun Su Wenchen zhu Guangyu Du Huan Pang School of Chemistry and Chemical Engineering Yangzhou University Department of Applied Physics The Hong Kong Polytechnic University Interdisciplinary Materials Research Center Institute for Advanced Study Chengdu University State Key Laboratory of Coordination Chemistry Nanjing University

Metal-organic frameworks (MOFs) are distinguished by their unique porosity and meticulously ordered framework structures,setting them apart from conventional complexes. These materials are defined by their highly organized crystalline and pore structures, extensive surface areas, robust porosity, and superior adsorption capabilities. Owing to their exceptional structural and functional attributes, MOFs and their derivatives are leveraged across a broad spectrum of applications, demonstrating significant potential across diverse sectors. In recent times, the scientific community has increasingly focused on MOFs, underscoring their growing importance in research. Despite the promising array of applications for MOFs and their derivatives,challenges persist in practical deployments, and the pathway to research advancement remains daunting. This document delves into the synthesis and various applications of MOFs and their derivatives, particularly in the domains of energy storage, catalysis,sensing, and water treatment. It also highlights the ongoing research progress in the field of electrochemistry, including developments in lithium ion batteries (LIBs), lithium-sulfur batteries (LSBs), zinc-ion batteries (ZIBs), aqueous nickel-zinc batteries (NZBs), and supercapacitors. Finally, it provides an outlook on the future prospects and potential hurdles facing the development of MOF materials.

关键词：

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

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 Lab Cluster and Grid Computing Lab School 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：