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Studies on the Surface Interaction Between MoO_3 and ZSM-11 Zeolite

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Chemical Research in Chinese Universities 1993年第1期9卷 53-58页

作者： dong Yu-lin liu Jing and YANG Kong-zhang (Institute of Colloid and Interface Chemistry, Shandong University, Jinan, 250100)

A series of Mo-containing ZSM-11 zeolite catalysts has been prepared by calcining mixtures of MoO3 and ZSM-11 zeolite, and studied by using X-ray diffraction and infrared spectroscopy. It has been found that MoO3 can be well dispersed on ZSM-11 zeolite as a surface molybdenum species, and mostly within the zeolite cavities. With increasing the amount of dispersed MoO3, the zeolite framework is destroyed, and the crystallinity of the zeolite decreases. It seems that this perturbation is due to the strong interaction between dispersed MoO3 and zeolite framework.

关键词： MoO_3 ZSM-11 Surface dispersion

Fabrication and property analysis of AlGaInP red light LED with high bright

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Optoelectronics Letters 2007年第6期3卷 417-419页

作者： HAN Jun LI Jian-jun DENG Jun XING Yan-hui YU Xiao-dong lin Wei-zhi liu Ying SHEN Guang-di Beijing Optoelectronic Technology Lab Beijing University of Technology Beijing 100022 China

The LED with DBR and enhancing transmission film was grown by MOCVD. At 20 mA DC injection current, the LED peak wavelength was 623 nm, the light intensity was 200 mcd, and the output light power was 2.14 mW. The ligh... 详细信息

关键词：高亮度灯发光二极管技术性能产品制造

Wide reflected angle DBR red light LED

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Optoelectronics Letters 2007年第6期3卷 420-422页

作者： HAN Jun LI Jlan-jun DENG Jun XING Yan-hui YU Xiao-dong lin Wei-zhi liu Ying SHEN Guang-dl Beijing Optoelectronic Technology Lab Beijing University of Technology Be（iing 100022 China

The coupled DBR LED with one DBR for reflecting normal incidence light and the other for reflecting inclined incidence light has been grown by MOCVD. For improving the conventional DBR which was used to increase light extraction efficiency in AIG-alnP red light LED is analyzed. At 20 mADc injection current, the LED peak wave length is 630 nm, and the light intensity of on axis is 137 mcd. The output light power is 2.32 mW. The light intensity and output light power have been improved compared with the conventional LEDs.

关键词：反射范围灯光发光二极管技术性能

Rosiglitazone Alleviated Chronic Cyclosporine Nephropathy and Underlying Mechanism

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器官移植内科学杂志 2009年第2期4卷 77-81页

作者： Ji dong lin Tang Zhangsuo liu Genyang Cheng Songxia Quan Department of Nephrology First Hospital Zhengzhou University Zhengzhou 450052 China

Dielectric-ion-conductive ZnNb2O6 layer enabling rapid desolvation and diffusion for dendrite-free Zn metal batteries

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Journal of Energy Chemistry 2025年第1期100卷 693-701页

作者： Haifeng Yang Jian Wang Panpan Zhang Xiaomin Cheng Qinghua Guan Jing dong Bixian Chen Lujie Jia Jing Zhang Yongzheng Zhang Yunjian liu Hongzhen lin School of Materials Science and Engineering Jiangsu University i-Lab & CAS Key Laboratory of Nanophotonic Materials and Devices Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences Helmholtz Institute Ulm (HIU) Karlsruhe Institute of Technology (KIT) School of Materials Science and Engineering Xi'an University of Technology State Key Laboratory of Chemical Engineering East China University of Science and Technology

Rechargeable aqueous zinc-metal batteries （AZMBs） are promising candidates for large-scale energy storage systems due to their low cost and high ***,their performance and sustainability are significantly hindered by the sluggish desolvation kinetics at the electrode/electrolyte interface and the corresponding hydrogen evolution reaction where active water molecules tightly participate in the Zn（H2O）62+solvation ***,learnt from self-generated solid electrolyte interphase （SEI） in anodes,the dielectric but ion-conductive zinc niobate nanoparticles artificial layer is constructed on metallic Zn surface （ZNB@Zn）,acting as a rapid desolvation *** zincophilic and dielectric-conductive properties of ZNB layer accelerate interfacial desolvation/diffusion and suppress surface corrosion or dendrite formation,achieving uniform Zn plating/stripping behavior,as confirmed by electronic/optical microscopies and interface spectroscopical measurements together with theoretical ***,the as-prepared ZNB@Zn electrode exhibits excellent cycling stability of over 2000 h and robust reversibility （99.54%） even under high current density and depth of discharge ***,the assembled ZNB@Zn-based full cell displays high capacity-retention rate of 80.21%after 3000 cycles at 5 A g-1and outstanding rate performance up to 10 A *** large-areal pouch cell is stabilized for hundreds of cycles,highlighting the bright prospects of the dielectric but ion-conductive layer in further application of AZMBs.

关键词： Zn metal battery Dielectric artificial layer Rapid ion diffusion Zincophilic diffusion Active water inhibition

HNRNPC as a pan-cancer biomarker and therapeutic target involved in tumor progression and immune regulation

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Oncology Research 2025年第1期33卷 83-102页

作者： YUEZHOU ZHANG ZHAO ZHANG JINXIN dong CHANGAN liu Department of Hepatobiliary Surgery The Second Affiliated Hospital of Chongqing Medical UniversityChongqing400016China Department of Hepatobiliary Surgery The First Affiliated Hospital of Chongqing Medical UniversityChongqing400016China

Background:Aberrant expression of RNA-binding proteins(RBPs)has been linked to a variety of diseases,including hematological disorders,cardiovascular diseases,and multiple types of *** nuclear ribonucleoprotein C(HNRNPC),a member belonging to the heterogeneous nuclear ribonucleoprotein(hnRNP)family,plays a pivotal role in nucleic acid *** studies have underscored the significance of HNRNPC in tumorigenesis;however,its specific role in malignant tumor progression remains inadequately ***:We leveraged publicly available databases,including The Cancer Genome Atlas(TCGA),to explore the potential involvement of HNRNPC across various ***,we performed experimental validation studies focused on liver ***:Our analysis revealed that HNRNPC is overexpressed in a wide range of common malignancies,including liver and lung cancers,and is strongly linked to unfavorable ***,HNRNPC was observed to be closely linked to tumor *** immune checkpoint analysis and immune cell infiltration assessment,HNRNPC emerged as a potential target for modulating tumor ***,silencing of HNRNPC markedly inhibited the proliferation,metastasis,and infiltration of liver cancer ***:In summary,our findings highlight HNRNPC as a prognostic marker in various cancers,including liver cancer,and suggest its involvement in shaping the tumor immune *** insights offer potential avenues for improving clinical outcomes in tumors with elevated HNRNPC expression,particularly through immunotherapeutic strategies.

关键词： Heterogeneous nuclear ribonucleoprotein C(HNRNPC) Pan-cancer analysis Tumor immunity Prognostic biomarker Immunotherapeutic target Hepatocellular carcinoma

Two stages power generation test of the hot dry rock exploration and production demonstration project in the Gonghe Basin,northeastern Qinghai-Tibet plateau,China

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China Geology 2024年第3期7卷 409-421页

作者： Er-yong Zhang dong-guang Wen Gui-ling Wang Xian-peng Jin lin-you Zhang Hai-dong Wu Wen-shi Wang Cheng-ming Ye Wei Weng Kuan Li Jin-sheng Wu Xian-chun Tang Chong-yuan Zhang Qing-da Feng Sheng Lian Li-sha Hu Gui-lin Zhu Xing-long Xie Bin Wu Dan Wang Xue Niu Zhao-xuan Niu dong-lin liu Hui Zhang Wen-hao Xu Shu-qing Yao Li Yang Center for Hydrogeology and Environmental Geology Survey China Geological SurveyMinistry of Natural ResourcesTianjin 300304China Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesChina Geological SurveyShijiazhuang 050061China Institute of Exploration Techniques Chinese Academy of Geological SciencesChina Geological SurveyLangfang 065000China Institute of Exploration Engineering China Geological SurveyMinistry of Natural ResourcesBeijing 100083China Institute of Exploration Technology Chinese Academy of Geological SciencesChengdu 611734China Chinese Academy of Geological Sciences China Geological SurveyBeijing 100037China Institute of Geomechanics Chinese Academy of Geological SciencesChina Geological SurveyBeijing 100081China Geoscience Documentation Center China Geological SurveyMinistry of Natural ResourcesBeijing 100083China

The Hot Dry Rock(HDR)is considered as a clean and renewable energy,poised to significantly contribute to the global energy decarbonization *** HDR projects worldwide have accumulated valuable experience in efficient drilling and completion,reservoir construction,and fracture *** 2019,China Geological Survey(CGS)initiated a demonstration project of HDR exploration and production in the Gonghe Basin,aiming to overcome the setbacks faced by HDR *** the ensuing four years,the Gonghe HDR project achieved the first power generation in 2021,followed by the second power generation test in *** establishing the primary well group in the initial phase,two directional wells and one branch well were *** progress was made in successfully constructing the targeted reservoir,realizing inter-well connectivity,power generation and grid connection,implementing of the real-time micro-seismic monitoring.A closed-loop technical validation of the HDR exploration and production was ***,many technical challenges remain in the process of HDR industrialization,such as reservoir fracture network characterization,efficient drilling and completion,multiple fracturing treatment,continuous injection and production,as well as mitigation of induced seismicity and numerical simulation technology.

关键词： Power generation Hot dry rock(HDR) Enhanced geothermal system(EGS) Genesis mechanism Gonghe Basin Directional drilling Reservoir construction Circulation test Induced seismicity Clean energy exploration engineering

Offload Strategy for Edge Computing in Satellite Networks Based on Software Defined Network

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Computers, Materials & Continua 2025年第1期82卷 863-879页

作者： Zhiguo liu Yuqing Gui lin Wang Yingru Jiang Communication and Network Laboratory Dalian UniversityDalian116622China College of Environment and Chemical Engineering Dalian UniversityDalian116622China

Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable *** sharp increase in user demand for latency-sensitive tasks has inevitably led to offloading bottlenecks and insufficient computational capacity on individual satellite edge servers,making it necessary to implement effective task offloading scheduling to enhance user *** this paper,we propose a priority-based task scheduling strategy based on a Software-Defined Network(SDN)framework for satellite-terrestrial integrated networks,which clarifies the execution order of tasks based on their ***,we apply a Dueling-Double Deep Q-Network(DDQN)algorithm enhanced with prioritized experience replay to derive a computation offloading strategy,improving the experience replay mechanism within the Dueling-DDQN ***,we utilize the Deep Deterministic Policy Gradient(DDPG)algorithm to determine the optimal resource allocation strategy to reduce the processing latency of *** results demonstrate that the proposed d3-DDPG algorithm outperforms other approaches,effectively reducing task processing latency and thus improving user experience and system efficiency.

关键词： Satellite network edge computing task scheduling computing offloading

RF Optimizer Model for Predicting Compressive Strength of Recycled Concrete

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 215-223页

作者： liu lin WANG liuyan WANG Hui SUN Huayue School of Civil Engineering and Architecture Shenyang UniversityShenyang 110000China

Traditional machine learning(ML)encounters the challenge of parameter adjustment when predicting the compressive strength of reclaimed *** address this issue,we introduce two optimized hybrid models:the Bayesian optimization model(B-RF)and the optimal model(Stacking model).These models are applied to a data set comprising 438 observations with five input variables,with the aim of predicting the compressive strength of reclaimed ***,we evaluate the performance of the optimized models in comparison to traditional machine learning models,such as support vector regression(SVR),decision tree(DT),and random forest(RF).The results reveal that the Stacking model exhibits superior predictive performance,with evaluation indices including R2=0.825,MAE=2.818 and MSE=14.265,surpassing the traditional ***,we also performed a characteristic importance analysis on the input variables,and we concluded that cement had the greatest influence on the compressive strength of reclaimed concrete,followed by ***,the Stacking model can be recommended as a compressive strength prediction tool to partially replace laboratory compressive strength testing,resulting in time and cost savings.

关键词： machine learning recycled concrete compressive strength