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New Vacuum Solar Telescope Achieves Narrowband Infrared Solar Imaging Observation at He I 10830 A

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Research in Astronomy and Astrophysics 2024年第5期24卷 76-84页

作者： wei-Jie meng Fang-Yu Xu Zhen-Yu Jin Yunnan Observatories Chinese Academy of SciencesKunming 650011China Yunnan Key Laboratory of Solar Physics and Space Science Kunming 650216China University of Chinese Academy of Sciences Beijing 100049China

The near-infrared imaging channel constitutes a crucial component of the multichannel high-resolution imaging system of the New Vacuum Solar Telescope(NVST). We have successfully achieved high-resolution, narrowband imaging of the chromosphere using He I 10830 A triplet within this channel, which significantly enhances the imaging observation capabilities of NVST. This paper provides a concise overview of the optical system associated with the near-infrared imaging channel, detailing data processing procedures and presenting several observed images. Leveraging a high-resolution image reconstruction algorithm, we were able to generate a narrowband image near the diffraction limit at 10830 A with a temporal resolution of less than 10 s.

关键词： instrumentation detectors-instrumentation high angular resolution-Sun chromosphere-Sun infrared

Dynamic Crosslinked Phosphorescent Poly(vinyl alcohol)-Terpyridine Films with Enhanced Mechanical Properties and Tunable Shape Memory

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Chinese Journal of Polymer Science 2024年第10期42卷 1595-1601页

作者： meng wei wei-Hao Feng Chen Yu Zhen-Yi Jiang Guang-Qiang Yin wei Lu Tao Chen Key Laboratory of Advanced Marine Materials Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences School of Chemical Sciences University of Chinese Academy of Sciences School of Materials Science and Chemical Engineering.Ningbo University

Achieving versatile room temperature phosphorescence （RTP） materials, especially with tunable mechanical properties and shape memory is attractive and essential but rarely reported. Here, a strategy was reported to realize multi-functional RTP films with multicolor fluorescence, ultralong afterglow, adjustable mechanical properties, and shape memory through the synergistic dynamic interaction of lanthanide（LnⅢ）-terpyridine coordination, borate ester bonds, and hydrogen bondings in a poly（vinyl alcohol）(PVA) matrix. By varying the amount of borax,the mechanical properties of the films could be finely controlled due to the change of crosslinking degree of dynamic borate ester bonds in *** assembly and disassembly of borate ester bonds upon the trigger of borax and acid were applied as reversible linkage to achieve programmable shape memory behavior. In addition, the films displayed both fascinating multicolor fluorescence and ultralong afterglow characteristics due to the presence of Ln III doping and confinement of terpyridine in PVA. This study provides a new avenue to impart modulable mechanical strength and shape memory to RTP materials.

关键词： Dynamic bonds Multicolor fluorescent Room temperature phosphorescence materials Shape memory Tunable mechanical properties

Contribution of Surface Waves to Sea Surface Temperatures in the Arctic Ocean

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Journal of Ocean University of China 2024年第5期23卷 1151-1162页

作者： wei meng SHAO weizeng SHEN wei HU Yuyi ZHANG Yu ZUO Juncheng College of Oceanography and Ecological Science Shanghai Ocean University China Waterborne Transport Research Institute Ministry of Transport of the People's Republic of China

The aim of our study was to examine the contribution of surface waves from WAVEWATCH-III(WW3) to the variation in sea surface temperature(SST) in the Arctic Ocean. The simulated significant wave height(SWH) were validated against the products from Haiyang-2B(HY-2B) in 2021, obtaining a root mean squared error(RMSE) of 0.45 with a correlation of 0.96 and scatter index of 0.18. The wave-induced effects, i.e., wave breaking and mixing induced by nonbearing waves resulting in changes in radiation stress and Stokes drift, were calculated from WW3, ERA-5 wind, SST, and salinity data from the National Centers for Environmental Prediction and were taken as forcing fields in the Stony Brook Parallel Ocean Model. The results showed that an RMSE of 0.81℃ with wave-induced effects was less than the RMSE of 1.11℃ achieved without the wave term compared with the simulated SST with the measurements from Argos. Considering the four wave effects and sea ice freezing, the SST in the Arctic Ocean decreased by up to 1℃ in winter. Regression analysis revealed that the SWH was linear in SST(values without subtraction of waves) in summer and autumn, but this behavior was not observed in spring or winter due to the presence of sea ice. The interannual variation also presented a negative relationship between the difference in SST and SWH.

关键词： Arctic Ocean sea surface temperature sea surface wave

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

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Journal of Systems Science and Information 2024年第2期12卷 294-308页

作者： Zhenchun ZANG Jielu LI meng wei College of Computer and Information Engineering Henan University of Economics and LawZhengzhou 450046China

The probabilistic hesitant fuzzy multi-attribute group decision-making method introduces probability and hesitation into decision-making problems at the same time,which can improve the reliability and accuracy of decision-making results,and has become a research hotspots in recent ***,there are still many problems,such as overly complex calculations and difficulty in obtaining probability *** on these,the paper proposes a multi-attribute group decision-making model based on probability hesitant fuzzy soft ***,the definition of probabilistic hesitant fuzzy soft set is ***,based on soft set theory and probabilistic hesitant fuzzy set,the similarity measure of probabilistic hesitant fuzzy soft set is proposed,and the two measures are further ***,it is applied to the construction of multi-attribute group decision-making model,and the effectiveness and rationality of the model are verified by an *** example shows that the new similarity calculation formula and algorithm model in this paper have higher accuracy,and the calculation process is more simple,it provides a feasible method for multi-attribute group decision making problems.

关键词： probabilistic hesitant fuzzy soft sets similarity multi-attribute group decision-making model

The Role of Corticotropin-Releasing Factor Receptor 1 in the Stress-Induced Alteration of Visual Properties in Primary Visual Cortex:Insights from the Single Prolonged Stress Model

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Neuroscience Bulletin 2024年第7期40卷 1012-1016页

作者： Qianhui Xia Xi Kuang wei meng Fei Yin Chenchen Ma Yupeng Yang Center for Advanced Interdisciplinary Science and Biomedicine of IHM Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefei 230027China

Dear Editor,Stress initiates a cascade of hormonal and behavioral responses that enable an organism to adapt to new environmental *** unbalanced stress response can lead to dysregulation of the hypothalamic-pituitary-... 详细信息

关键词： Corti Receptor Cortex

Three dimensional discrete element modelling of the conventional compression behavior of gas hydrate bearing coal

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International Journal of Coal Science & Technology 2024年第1期11卷 61-77页

作者： Xia Gao Nannan Wang Baoyong Zhang Qiqi Lin Qiang Wu wei meng Xia Liu Department of Architecture and Civil Engineering Heilongjiang University of Science and TechnologyHarbin150022China School of Qilu Transportation Shandong UniversityJinan250061China Department of Safety Engineering Heilongjiang University of Science and TechnologyHarbin150022China Jining Hongxiang Highway Survey Design and Research Institute Co.Ltd Jining272000China

To analyze the relationship between macro and meso parameters of the gas hydrate bearing coal(GHBC)and to calibrate the meso-parameters,the numerical tests were conducted to simulate the laboratory triaxial compression tests by PFC3D,with the parallel bond model employed as the particle contact constitutive ***,twenty simulation tests were conducted to quantify the relationship between the macro–meso ***,nine orthogonal simulation tests were performed using four meso-mechanical parameters in a three-level to evaluate the sensitivity of the meso-mechanical ***,the calibration method of the meso-parameters were then ***,the contact force chain,the contact force and the contact number were examined to investigate the saturation effect on the meso-mechanical behavior of *** results show that:(1)The elastic modulus linearly increases with the bonding stiffness ratio and the friction coefficient while exponentially increasing with the normal bonding strength and the bonding radius *** failure strength increases exponentially with the increase of the friction coefficient,the normal bonding strength and the bonding radius coefficient,and remains constant with the increase of bond stiffness ratio;(2)The friction coefficient and the bond radius coefficient are most sensitive to the elastic modulus and the failure strength;(3)The number of the force chains,the contact force,and the bond strength between particles will increase with the increase of the hydrate saturation,which leads to the larger failure strength.

关键词： Gas hydrate bearing coal Discrete element method Triaxial compression test Macro-meso mechanical propertie

Research on Recommendation Algorithms Based on Cloud Models in Probabilistic Linguistic Environments

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Journal of Systems Science and Information 2024年第1期12卷 96-112页

作者： Peng YANG Xifeng MA meng wei Chunsheng CUI Libin CHE College of Computer and Information Engineering Henan University of Economics and LawZhengzhou 450046China

To solve the problem that the traditional cloud model can't directly process the textual review information in the recommendation algorithm,this paper combines the merits of the cloud model in transforming qualitative and quantitative knowledge with the multi-granularity advantages of probabilistic linguistic term sets in representing uncertain information,and proposes a recommendation algorithm based on cloud model in probabilistic language ***,this paper quantifies the attributes in the review text based on the probabilistic linguistic term ***,the maximum deviation method is used to determine the weight of each attribute in the evaluation information of the product to be recommended,and the comprehensive evaluation number and attribute weight are converted into the digital characteristic value of the cloud model by using the backward cloud ***,the products are recommended and sorted based on the digital characteristic value of the cloud *** algorithm is applied to the recommendation of 10 hotels,and the results show that the method is effective and practical,enriching the application of cloud models in the recommendation field.

关键词： recommendation algorithm cloud model probabilistic linguistic term set text reviews

High performance 2T0C DRAM cells based on atomic-layer-deposited InAlZnO FETs

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Science China(Information Sciences) 2024年第09期67卷 344-345页

作者： Wen XIONG Binbin LUO wei meng Bao ZHU Xiaohan WU Shi-Jin DING School of Microelectronics Fudan University

Recently, the oxide semiconductor-based 2T0C dynamic random-access memory(DRAM) has shown great potential in monolithic three-dimensional(M3D)-integrated memory,owing to some unique advantages of oxide semiconductors,such as high electron mobility, wide band gap, and compatibility with back-end-of-line(BEOL) processes [1, 2].

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Metal size effects over metal/zeolite bifunctional catalysts in the selective hydroalkylation of benzene

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Frontiers of Chemical Science and Engineering 2024年第4期18卷 107-114页

作者： Junjie Li Chuang Liu Zhenlong Jia Yingchun Ye Dawei Lan wei meng Jianqiang Wang Zhendong Wang Yongfeng Hu weimin Yang State Key Laboratory of Green Chemical Engineering and Industrial Catalysis Sinopec Shanghai Research Institute of Petrochemical Technology Co.Ltd.Shanghai 201208China School of Chemical Engineering East China University of Science and TechnologyShanghai 200237China

Bifunctional metal/zeolite materials are some of the most suitable catalysts for the direct hydroalkylation of benzene to *** overall catalytic performance of this reaction is strongly influenced by the hydrogenation,which is dependent on the metal ***,systematically investigating the metal size effects in the hydroalkylation of benzene is *** this work,we successfully synthesized Ru and Pd nanoparticles on Sinopec Composition Materials No.1 zeolite with various metal *** demonstrated the size-dependent catalytic activity of zeolite-supported Ru and Pd catalysts in the hydroalkylation of benzene,which can be attributed to the size-induced hydrogen spillover capability *** work presents new insights into the hydroalkylation reaction and may open up a new avenue for the smart design of advanced metal/zeolite bi-functional catalysts.

关键词： size effects bifunctional catalysts metal/zeolite hydroalkylation