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Fast target-aware learning for few-shot video object segmentation

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Science China(Information Sciences) 2022年第8期65卷 71-86页

作者： Yadang chen Chuanyan hao Zhi-xin YANG Enhua WU Engineering Research Center of Digital Forensics Ministry of EducationSchool of Computer and SoftwareNanjing University of Information Science and Technology School of Education Science and Technology Nanjing University of Posts and Telecommunications State Key Laboratory of Internet of Things for Smart City Department of Electromechanical EngineeringUniversity of Macau State Key Laboratory of Computer Science Institute of SoftwareUniversity of Chinese Academy of Sciences Faculty of Science and Technology University of Macau

Few-shot video object segmentation(FSVOS) aims to segment a specific object throughout a video sequence when only the first-frame annotation is given. In this study, we develop a fast target-aware learning approach for FSVOS, where the proposed approach adapts to new video sequences from its firstframe annotation through a lightweight procedure. The proposed network comprises two models. First, the meta knowledge model learns the general semantic features for the input video image and up-samples the coarse predicted mask to the original image size. Second, the target model adapts quickly from the limited support set. Concretely, during the online inference for testing the video, we first employ fast optimization techniques to train a powerful target model by minimizing the segmentation error in the first frame and then use it to predict the subsequent frames. During the offline training, we use a bilevel-optimization strategy to mimic the full testing procedure to train the meta knowledge model across multiple video *** proposed method is trained only on an individual public video object segmentation(VOS) benchmark without additional training sets and compared favorably with state-of-the-art methods on DAVIS-2017, with a J &F overall score of 71.6%, and on YouT ubeVOS-2018, with a J &F overall score of 75.4%. Meanwhile,a high inference speed of approximately 0.13 s per frame is maintained.

关键词： video object segmentation few-shot target-aware meta knowledge bilevel-optimization

稻田书局:浙江省乌镇谭家湾农家书屋的实践创新--基于场所精神理论的剖析

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大学图书情报学刊 2025年第1期43卷 51-57页

作者：陈欣南京江北新区图书馆 210044

稻田书局将传统稻园风光与现代图书馆理念融为一体,拓展了图书馆作为物理空间的场所功能。文章以浙江省乌镇谭家湾稻田书局为研究对象,运用场所精神理论,深入剖析其实践特征,探讨其对新时代图书馆建设的启示。研究发现,谭家湾稻田书局... 详细信息

稻田书局将传统稻园风光与现代图书馆理念融为一体,拓展了图书馆作为物理空间的场所功能。文章以浙江省乌镇谭家湾稻田书局为研究对象,运用场所精神理论,深入剖析其实践特征,探讨其对新时代图书馆建设的启示。研究发现,谭家湾稻田书局在选址布局上远离城市喧嚣,回归乡村语境;建筑形态上借鉴传统营造技艺,实现现代性与乡土性的交融;内部空间组合上强调开放性、共享性,打造乡村“公共客厅”;环境意象上追求宁静典雅、诗意栖居,构建静谧精神空间。谭家湾稻田书局通过场所感知、场所认同、场所依恋与场所联结,实现了读者、馆舍、人文、自然的有机统一,其成功实践对我国农家书屋转型发展具有多方面启示,为打造新型乡村图书馆提供了案例经验。

关键词：稻田书局(稻园书屋) 场所精神理论图书馆空间乌镇谭家湾农家书屋

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[Construction of a 17 β-estradiol sensor based on a magnetic graphene oxide/aptamer separating material]

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Se pu = Chinese journal of chromatography 2025年第1期43卷 87-95页

作者： xin-Yu Jin Le-Yuan chen Ya-Nna Liu Wen-Jing Xie Han-Yong Peng State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China. University of Chinese Academy of Sciences Beijing 100049 China. School of Environment Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 310024 China.

17-Estradiol (E2) is a natural steroidal estrogen essential for a variety of physiological functions in organisms. However, external E2, which is renowned for its potent biological effects, is also considered to be an endocrine-disrupting compound (EDC) capable of disturbing the normal operation of the endocrine system, even at nanogram-per-liter (ng/L) concentrations. Studies have revealed that medical and livestock wastewater can be contaminated with E2, which poses potential risks to human health. Currently, the primary method for detecting E2 relies on liquid chromatography-mass spectrometry, which is limited with regard to on-site or large-scale sample testing due to instrumental constraints. Herein, we developed a magnetic graphene oxide (MGO)/aptamer separating material. The MGO was synthesized by creating a water-in-oil microemulsion at 90 ℃, an agarose hydrogel to load the FeO nanoparticles, and layered graphene oxide (GO). In contrast to conventional methods, such as chemical co-precipitation and solvothermal approaches, this method is more time-efficient and does not require high temperature or pressure. Moreover, the use of a physical encapsulation technique for enwrapping the FeO nanoparticles and layered GO eliminates the need for chemical modification. This approach reduces the use of harmful chemicals, ensures complete loading, and results in highly efficient encapsulation. The MGO was characterized using Fourier-transform infrared (FT-IR) spectroscopy and transmission electron microscopy (TEM), as well as dynamic light scattering (DLS) and Zeta potential analyses, which revealed that the FeO nanoparticles had been successfully loaded onto the GO to produce MGO particles mainly around 5 μm in size. Additionally, this study demonstrated that the aqueous MGO dispersion is highly stable. This substance was used to develop a fluorescent biosensor that uses a "turn-on" mechanism to rapidly and highly sensitively detect E2. MGO is capable of adsorbing a fl

关键词： 17-estradiol (E2) fluorescence biosensor magnetic graphene oxide (MGO) magnetic solid phase separation

Biosynthesis of poly-3-hydroxybutyrate with a high molecular weight by methanotroph from methane and methanol

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Journal of Natural Gas Chemistry 2008年第1期17卷 103-109页

作者： Yingxin Zhang Jiaying xin Linlin chen hao Song Chungu Xia State Key Laboratory for Oxo Synthesis ＆ Selective Oxidation Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou 730000 China College of Food Engineering Harbin University of Commerce Harbin 150076 China Graduate University of Chinese Academy of Sciences Beijing 10039 China

Poly-3-hydroxybutyrate （PHB） can be produced by various species of bacteria. Among the possible carbon sources, both methane and methanol could be a suitable substrate for the production of PHB. Methane is cheap and plentiful not only as natural gas, but also as biogas. Methanol can also maintain methanotrophic activity in some conditions. The methanotrophic strain Methylosinus trichosporium IMV3011 can accumulate PHB with methane and methanol in a brief nonsterile process. Liquid methanol （0.1%） was added to improve the oxidization of methane. The studies were carried out using shake flasks. Cultivation was performed in two stages： a continuous growth phase and a PHB accumulation phase under the conditions short of essential nutrients （ammonium, nitrate, phosphorus, copper, iron （Ⅲ）, magnesium or ethylenediamine tetraacetate （EDTA）） in batch culture. It was found that the most suitable growth time for the cell is 144 h. Then an optimized culture condition for second stage was determined, in which the PHB concentration could be much increased to 0.6 g/L. In order to increase PHB content, citric acid was added as an inhibitor of tricarboxylic acid cycle （TCA）. It was found that citric acid is favorable for the PHB accumulation, and the PHB yield was increased to 40% （w/w） from the initial yield of 12% （w/w） after nutrient deficiency cultivation. The PHB produced is of very high quality with molecular weight up to 1.5 × 10^6Da.

关键词： poly-3-hydroxybutyrate methanotrophs methane methanol cultivation biosynthesis high molecular weight

Metastable seed-crystals: epitaxial growth of branched-array organic heterostructure nanowires

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Science China Chemistry 2025年

作者： Jin Feng Zhen-Yu Geng Ting-Yao Song Ying-xin Ma Chuan-Zeng Wang Wei Zhang Hong-Tao Lin Jin Zhou Shu-Ping Zhuo Shu-Hai chen Xue-Dong Wang School of Chemistry and Chemical Engineering Shandong University of Technology Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & DevicesSoochow University College of Chemistry and Chemical Engineering Hunan Normal University

Tunable light–matter interactions are exhibited by organic low-dimensional crystals, making these crystals a promising platform for organic photonics. However, the precise synthesis of organic low-dimensional crystals remains challenging due to the stochastic nature of molecular nucleation processes. Herein, the directed nucleation process is driven by the introduction of metastable seed-crystals as the trunk, which ultimately leads to branched-array organic heterostructures. The successful formation of organic heterostructures with high-density branched arrays is attributed to the highest attachment energy (Eatt（023）=-104.25 kcal mol-1) of the exposed （023） crystal plane during the seed-crystal growth route. Significantly, these as-prepared heterostructures inherently have an ultralow lattice mismatch ratio η of 0.7%between trunk and branch, which contributes to the multi-channel photon transportation. Therefore, this work provides valuable insights into a versatile synthetic strategy for accessing low-dimensional heterostructures for integrated optoelectronics.

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Effect of thermal cycles on microstructure of reduced activation steel fabricated using laser melting deposition

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Journal of Iron and Steel Research International 2021年第3期28卷 316-326页

作者： Qian An Zhi-xin Xia Chi Zhang Zhi-gang Yang hao chen School of Material Science and Engineering Tsinghua UniversityBeijing100084China Shagang School of Iron and Steel Soochow UniversitySuzhou215021JiangsuChina

Reduced activation steel was successfully fabricated by laser melting deposition employing a Gaussian and a ring-shaped *** microstructure evolution of the reduced activation steel was investigated using the scanning electron microscope,transmission electron microscope and electron backscatter *** experimental results showed that the grains close to the substrate were smaller than the grains in the upper *** to those deposited using a Gaussian laser,the samples deposited using a ring-shaped laser showed a more homogeneous ***,a finite element analysis(FEA)model was applied to reveal the thermal history during laser melting *** simulation results were well validated with the experimental *** results indicate that the peak temperature increases and the cooling rate decreases,as the layer gets further from the ***,the temperature and the cooling rate resulting from the Gaussian laser model were higher at the midline of the samples and lower around the edges,whereas those of the ring-shaped laser model were consistent with both at the center and around the edges.

关键词： Laser melting deposition Reduced activation steel Microstructure evolution Thermal cycle Finite element analysis

A high performance waveform and a new ranging method for the proximity detector

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Defence Technology（防务技术） 2020年第4期16卷 834-845页

作者： Qi-le chen xin-hong hao Xiao-peng Yan Ping Li School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China

Signal modulation is an essential design factor for proximity detectors and directly affects the system's potential *** order to achieve the advantages of chaotic codes bi-phase modulation(CCBPM)and linear frequency modulation(LFM) simultaneously,this paper designed a waveform which combined chaotic codes bi-phase modulation and linear frequency modulation(CCBPM-LFM) for proximity *** CCBPM-LFM waveform was analyzed in the aspect of time delay resolution(TDR) and Doppler tolerance(DT) based on ambiguity function(AF).Then,a ranging method,which we called instant correlation harmonic demodulation(ICHD),was presented for the detector using the CCBPM-LFM *** combining time domain instant correlation with harmonic demodulation,the ICHD solved the problem caused by combination modulation and made the most of the linear frequency modulation(LFM) harmonics and the correlation of chaotic ***,a prototype was implemented and ranging experiments were carried *** the theoretical analysis and experimental results,the proximity detector used the CCBPM-LFM waveform has an outstanding detection performance.

关键词： Proximity detectors Detection performance Combination modulation Chaotic codes bi-phase modulation Linear frequency modulation

Sensitive voltammetric determination of xanthinol nicotinate at a carbon nanotubes-ionic liquid gel modified electrode

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Chinese Chemical Letters 2009年第7期20卷 849-851页

作者： XiaoYu Bao Yu FengTang hao Yang xin chen Chemistry & Pharmaceutical Engineering College Nanyang Normal Universi~ Nanyang 473061 PR China

The electrochemistry of xanthinol nicotinate （Xan） was studied by cyclic voltammetry at a glassy carbon electrode modified by a gel containing multi-walled carbon nanotubes （MWNTs） and room-temperature ionic liquid of 1-butyl-3-methylimidazolium hexafluorophosphate （BMIMPF6）. The modified electrode exhibited good promotion to the electrochemical oxidation of Xan and an ultrasensitive electrochemical method was proposed for the determination of Xan. This method was successfully applied to the determination of Xan in Xan tablets. C 2009 XiaoYu Bao. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

关键词： Carbon nanotubes Ionic liquid Xanthinol nicotinate Modified electrode Voltammetry

A Fast Tongue Detection and Location Algorithm in Natural Environment

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Computers, Materials & Continua 2022年第12期73卷 4727-4742页

作者： Lei Zhu Guojiang xin xin Wang Changsong Ding hao Liang Qilei chen School of Informatics Hunan University of Chinese MedicineChangsha410208China TCM Big Data Analysis Laboratory of Hunan Changsha410208China Department of Computer Science University of Massachusetts LowellLowell01854USA

The collection and extraction of tongue images has always been an important part of intelligent tongue *** present,the collection of tongue images generally needs to be completed in a sealed,stable light environment,which is not conducive to the promotion of extensive tongue image and intelligent tongue *** response to the problem,a newalgorithm named GCYTD(GELU-CA-YOLO Tongue Detection)is proposed to quickly detect and locate the tongue in a natural environment,which can greatly reduce the restriction of the tongue image collection *** algorithm is based on the YOLO(You Only Look Once)V4-tiny network model to detect the ***,the GELU(Gaussian Error Liner Units)activation function is integrated into the model to improve the training speed and reduce the number of model parameters;then,the CA(Coordinate Attention)mechanism is integrated into the model to enhance the detection precision and improve the failure tolerance of the *** with the other classical algorithms,Experimental results show thatGCYTD algorithm has a better performance on the tongue images of all types in terms of training speed,tongue detection speed and detection precision,*** lighter model can contribute on deploying the tongue detection model on small mobile terminals.

关键词： Tongue detection YOLO V4-tiny CA mechanism GELU