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硒及硒纳米颗粒生物学机制与口腔常见疾病的关系

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中国组织工程研究 2025年第22期29卷 4813-4822页

作者：彭璐瑶顾瑜遵义医科大学珠海校区广东省珠海市519041 贵州省高等学校口腔疾病研究特色重点实验室贵州省遵义市563000

背景:硒作为人体所需的微量非金属元素具有抗炎、抗氧化、抗菌、免疫调节和抗肿瘤等生物活性,已经在生物医学领域得到广泛应用。目的:总结硒及其纳米颗粒在抗炎、抗氧化、抗菌、免疫调节和抗肿瘤方面的功能和作用机制,以及在口腔医学领... 详细信息

背景:硒作为人体所需的微量非金属元素具有抗炎、抗氧化、抗菌、免疫调节和抗肿瘤等生物活性,已经在生物医学领域得到广泛应用。目的:总结硒及其纳米颗粒在抗炎、抗氧化、抗菌、免疫调节和抗肿瘤方面的功能和作用机制,以及在口腔医学领域的研究进展。方法:以“selenium,selenium nanoparticles,oral neoplasms,caries,dental pupal disease,periapical disease,dental implant”为英文检索词,以“硒,硒纳米颗粒,口腔癌,龋病,牙髓病,根尖周病,口腔种植”为中文检索词,分别在PubMed、中国知网、万方数据库进行文献检索,检索文献时限为2000年1月至2024年2月。经过对文献的深入分析和仔细阅读,最后选择74篇文献进行全面综述。结果与结论:(1)硒的生物学特性主要是通过合成硒蛋白,以抗氧化机制为核心,调节各种细胞因子和介导与之相关的信号通路,进而产生抗菌、免疫调节、抗肿瘤等作用;(2)硒除了在口腔癌、龋病、牙髓根尖周病等方面可用于早期诊断、治疗和预后判断外,更多的是可作为新型口腔材料在口腔领域应用,例如:用于开发新型牙科封闭剂或根管系统消毒剂,又或在优化口腔种植材料性能等方面有所应用;(3)生物安全性是影响硒在生物医药领域应用的最重要因素之一,选择合适的剂量和形式才能使其发挥出良好作用。硒在口腔材料学方面展现出了巨大的应用潜力和广阔的发展空间。

关键词：硒硒纳米颗粒口腔癌龋病牙髓根尖周病口腔种植

Adversarial network embedding using structural similarity

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Frontiers of Computer Science 2021年第1期15卷 223-232页

作者： Zihan ZHOU yu gu Ge yu School of Computer Science and Engineering Northeastern UniversityShenyang 110819China

Network embedding which aims to embed a given network into a low-dimensional vector space has been proved effective in various network analysis and mining tasks such as node classification,link prediction and network *** emerging network embedding methods have shifted of emphasis in utilizing mature deep learning *** neural-network based network embedding has become a mainstream solution because of its high eficiency and capability of preserv-ing the nonlinear characteristics of the *** this paper,we propose Adversarial Network Embedding using Structural Similarity(ANESS),a novel,versatile,low-complexity GAN-based network embedding model which utilizes the inherent vertex-to-vertex structural similarity attribute of the *** learns robustness and ffective vertex embeddings via a adversarial training ***,our method aims to exploit the strengths of generative adversarial networks in generating high-quality samples and utilize the structural similarity identity of vertexes to learn the latent representations of a ***,ANESS can dynamically update the strategy of generating samples during each training *** extensive experiments have been conducted on the several benchmark network datasets,and empirical results demon-strate that ANESS significantly outperforms other state-of-theart network embedding methods.

关键词： network embedding structural similarity generative adversarial network

DRPS:efficient disk-resident parameter servers for distributed machine learning

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Frontiers of Computer Science 2022年第4期16卷 79-90页

作者： Zhen Song yu gu Zhigang Wang Ge yu School of Computer Science and Engineering Northeastern UniversityShenyang110819China College of Information Science and Engineering Ocean University of ChinaQingdao266100China

Parameter server(PS)as the state-of-the-art distributed framework for large-scale iterative machine learning tasks has been extensively ***,existing PS-based systems often depend on memory *** memory constraints,machine learning(ML)developers cannot train large-scale ML models in their rather small local ***,renting large-scale cloud servers is always economically infeasible for research teams and small *** this paper,we propose a disk-resident parameter server system named DRPS,which reduces the hardware requirement of large-scale machine learning tasks by storing high dimensional models on *** further improve the performance of DRPS,we build an efficient index structure for parameters to reduce the disk I/O *** on this index structure,we propose a novel multi-objective partitioning algorithm for the ***,a flexible workerselection parallel model of computation(WSP)is proposed to strike a right balance between the problem of inconsistent parameter versions(staleness)and that of inconsistent execution progresses(straggler).Extensive experiments on many typical machine learning applications with real and synthetic datasets validate the effectiveness of DRPS.

关键词： parameter servers machine learning disk resident parallel model

The Visual Pathway for Binocular Integration

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Neuroscience Bulletin 2020年第9期36卷 1089-1091页

作者： Na Li yu gu State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science Institutes of Brain ScienceFudan UniversityShanghai 200032China

It is generally believed that the visual pathways from each eye do not integrate to form binocular vision until they reach the primary visual cortex (V1),and individual neurons in the visual thalamus (dorsal lateral geniculate nucleus,dLGN) are thought to receive retinal inputs from either the contralateral or the ipsilateral eye [1].

关键词： Visual visual Integration

New Progress on Binocular Disparity in Higher Visual Areas Beyond V1

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Neuroscience Bulletin 2020年第10期36卷 1236-1238页

作者： Xiangwen Hao yu gu State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science Institutes of Brain ScienceFudan UniversityShanghai 200032China

Binocular disparity,resulting from the differences between the retinal images of the two eyes,plays a fundamental role in the formation of stereoscopic vision and depth perception[1].Generally,a greater difference(disparity)between the two images indicates that the objects are closer to each other(Fig.1A).The brain uses binocular disparity to extract depth information from the two-dimensional retinal images,and the subtle differences between the images received by each eye allow us to perceive stereoscopic depth,which is important for the visual perception of the three-dimensional space[2].

关键词： Visual closer visual

Epitaxial growth of Fe/Ag single crystal superlattices and their magnetic properties

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International Journal of Minerals,Metallurgy and Materials 2009年第1期16卷 71-76页

作者： yu gu Fei Zeng Fang Lv yu-li gu Pei-yong Yang Feng Pan Laboratory of Advanced Materials Department of Materials Science and Engineering Tsinghua University Beijing 100084 China

Single crystal Fe/Ag（001） superlattices with various periodicities were fabricated using ultrahigh vacuum evaporation deposition. It was found that single crystal bcc Fe layers and single crystal fcc Ag layers can epitaxially grow on a single crystal Ag buffer layer alternately, which was deposited on NaCl single crystal chips by ion beam assisted deposition. The magnetic measurements of the superlattices reveal an oscillation coupling between ferromagnetism and antiferromagnetism as a function of the Ag layer thickness. The oscillation period, which is 1 nm （5 Ag layers）, is in good agreement with the calculated values when the Ag thickness is greater than 1.5 nm. While the thickness of the Ag spacer layer decreases to 1 nm, the oscillation coupling varies from calculations, which can be attributed to the intermixing of the interlayers according to the annealing results.

关键词： Fe/Ag superlattices magnetization oscillating periodicity annealing

Embedding ensemble tracking in a stochastic framework for robust object tracking

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第10期10卷 1476-1482页

作者： yu gu Ping LI Bo HAN Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China

We propose an algorithm of embedding ensemble tracking in a stochastic framework to achieve robust tracking performance under partial occlusion,illumination changes,and abrupt *** operates on likelihood images generated by the ensemble method,and combines mean shift and particle filtering in a principled way,where a better proposal distribution is de-signed by first propagating particles via a motion model,and then running mean shift to move towards their local peaks in the likelihood *** observation model in the particle filter incorporates global and local information within a region,and an adaptive motion model is adopted to depict the evolution of the object *** algorithm needs fewer particles to manage the tracking task compared with the general particle filter,and recaptures the object quickly after occlusion *** on two image sequences demonstrate the effectiveness and robustness of the proposed algorithm.

关键词： Ensemble tracking Particle filter Mean shift Likelihood mean

The influence of temperature on flow-induced forces on quartz-crystal-microbalance sensors in a Chinese liquor identification electronic-nose: three-dimensional computational fluid dynamics simulation and analysis

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Applied Mathematics and Mechanics(English Edition) 2019年第9期40卷 1301-1312页

作者： Qiang LI yu gu Huatao WANG School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Beijing 100029 China Department of Chemistry Goethe-University Frankfurt Frankfurt am Main 60438 Germany

An electronic-nose is developed based on eight quartz-crystal-microbalance (QCM) gas sensors in a sensor box, and is used to detect Chinese liquors at room temperature. Each sensor is a highly-accurate and highly-sensitive oscillator that has experienced airflow disturbances under the condition of varying room temperatures due to unstable flow-induced forces on the sensors surfaces. The three-dimensional (3D) nature of the airflow inside the sensor box and the interactions of the airflow on the sensors surfaces at different temperatures are studied by computational fluid dynamics (CFD) tools. Higher simulation accuracy is achieved by optimizing meshes, meshing the computational domain using a fine unstructural tetrahedron mesh. An optimum temperature, 30 ℃, is obtained by analyzing the distributions of velocity streamlines and the static pressure, as well as the flow-induced forces over time, all of which may be used to improve the identification accuracy of the electronic-nose for achieving stable and repeatable signals by removing the influence of temperature.

关键词： computational fluid dynamics (CFD) temperature quartz-crystalmicrobalance (QCM) gas sensor electronic nose identification accuracy

Feature fusion method for edge detection of color images

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Journal of Systems Engineering and Electronics 2009年第2期20卷 394-399页

作者： Ma yu gu Xiaodong Wang yuanyuan Dept. of Electronic Engineering Fudan Univ. Shanghai 200433 P. R. China

A novel feature fusion method is proposed for the edge detection of color images. Except for the typical features used in edge detection, the color contrast similarity and the orientation consistency are also selected as the features. The four features are combined together as a parameter to detect the edges of color images. Experimental results show that the method can inhibit noisy edges and facilitate the detection for weak edges. It has a better performance than conventional methods in noisy environments.

关键词： color image processing edge detection feature extraction feature fusion