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Metal-organic frameworks with dinuclear metal centers for synergistically boosting CO2 photoreduction

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Science China Chemistry 2025年第1期68卷 201-208页

作者： Hui-Feng Wang Wen-Jie Shi Yu-Xin Yang Bao-Xia dong Tong-Bu lu Di-Chang Zhong School of Chemistry and Chemical Engineering Yangzhou University Institute for New Energy Materials and Low Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology

Dinuclear metal synergistic catalysis （DMSC） has been proved powerful in boosting CO2reduction,while this has not been achieved in heterogeneous catalysts with long-range order *** this study,we,by introduction of metal catalytic centers into an indium-based metal-organic framework （MOF）,obtained a series of isostructural In-MOFs,including three MOFs with mononuclear metal catalytic center （M-In）,three MOFs with dinuclear homometallic catalytic centers （MM-In）,and three MOFs with dinuclear heterometallic catalytic centers (MM’-In,M/M’=Co（II）,Ni（II）,Zn（II）).It was found that all these MOFs can serve as catalysts for photochemical CO2reduction to *** with M-In,the catalytic activities of MM-In were obviously enhanced,and that of MM’-In was further significantly *** example,the CO yield of Co Zn-In reaches a record value of 12,700μmol g-1h-1,which is 4.0,8.1,9.4,and 18.6-fold higher than that of Co Co-In,Zn Zn-In,Co-In,and Zn-In,***,the catalytic activities of Co Ni-In and Ni Zn-In also show different fold increase than those of corresponding dinuclear homometallic and mononuclear metallic *** results of control experiments and theoretical calculation reveal that the higher catalytic activities of MM-In over M-In can be ascribed to the DMSC effect,and the higher catalytic activity of MM’-In over MM-In can be ascribed to the strengthened DMSC *** work reveals the relationship between DMSC effect and bimetal centers in CO2reduction,which provides new insights into the DMSC and paves a new way to design highly active catalysts for photochemical CO2reduction.

关键词： metal-organic frameworks dinuclear metal centers synergistic catalysis CO2 reduction photocatalysis

高精料日粮对奶牛瘤胃发酵和生物胺生成的影响

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中国奶牛 2017年第10期 11-15页

作者：王东升张露露上海光明荷斯坦牧业有限公司上海200436 北京中农榜样蛋鸡育种有限责任公司北京102100

为研究饲喂高精料日粮条件下奶牛瘤胃发酵情况,选取4头初产的健康荷斯坦牛进行试验。试验结果显示,饲喂高精料日粮显著提高了奶牛瘤胃液中乳酸、总VFA、丁酸、戊酸和总支链VFA的含量,同时乙丙比显著降低,但未能显著降低乙酸和NH_3-N水平... 详细信息

为研究饲喂高精料日粮条件下奶牛瘤胃发酵情况,选取4头初产的健康荷斯坦牛进行试验。试验结果显示,饲喂高精料日粮显著提高了奶牛瘤胃液中乳酸、总VFA、丁酸、戊酸和总支链VFA的含量,同时乙丙比显著降低,但未能显著降低乙酸和NH_3-N水平;同时,与饲喂低精料日粮相比,饲喂高精料的奶牛瘤胃液中的生物胺含量显著增加(P0.05)。结果表明,饲喂高精料改变了奶牛瘤胃的微生物菌群,进而影响了瘤胃的发酵参数,并促进消化道内异常代谢产物——生物胺的生成与转移,进而影响奶牛的健康。

关键词：精粗比奶牛瘤胃液生物胺

Understanding the local structure and thermophysical behavior of Mg-La liquid alloys via machine learning potential

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 439-449页

作者： Jia Zhao Taixi Feng Guimin lu National Engineering Research Center for Integrated Utilization of Salt Lake Resource East China University of Science and TechnologyShanghai 200237China Joint International Laboratory for Potassium and Lithium Strategic Resources East China University of Science and TechnologyShanghai 200237China

The local structure and thermophysical behavior of Mg-La liquid alloys were in-depth understood using deep potential molecular dynamic(DPMD) simulation driven via machine learning to promote the development of Mg-La alloys. The robustness of the trained deep potential(DP) model was thoroughly evaluated through several aspects, including root-mean-square errors(RMSEs), energy and force data, and structural information comparison results;the results indicate the carefully trained DP model is reliable. The component and temperature dependence of the local structure in the Mg-La liquid alloy was analyzed. The effect of Mg content in the system on the first coordination shell of the atomic pairs is the same as that of temperature. The pre-peak demonstrated in the structure factor indicates the presence of a medium-range ordered structure in the Mg-La liquid alloy, which is particularly pronounced in the 80at% Mg system and disappears at elevated temperatures. The density, self-diffusion coefficient, and shear viscosity for the Mg-La liquid alloy were predicted via DPMD simulation, the evolution patterns with Mg content and temperature were subsequently discussed, and a database was established accordingly. Finally, the mixing enthalpy and elemental activity of the Mg-La liquid alloy at 1200 K were reliably evaluated,which provides new guidance for related studies.

关键词： magnesium-lanthanum liquid alloys local structure macroscopic properties thermodynamic behavior deep potential mo-lecular dynamic simulation

High-dose dexamethasone regulates microglial polarization via the GR/JAK1/STAT3 signaling pathway after traumatic brain injury

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Neural Regeneration Research 2025年第9期20卷 2611-2623页

作者： Mengshi Yang Miao Bai Yuan Zhuang shenghua lu Qianqian Ge Hao Li Yu Deng Hongbin Wu Xiaojian Xu Fei Niu Xinlong dong Bin Zhang Baiyun Liu Beijing Tiantan Hospital Capital Medical UniversityBeijingChina Department of Neurology The First Hospital of Tsinghua UniversityBeijingChina Department of Neurotrauma and Beijing Key Laboratory of Central Nervous System Injury Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina Department of Critical Care Medicine Beijing Tiantan HospitalCapital Medical UniversityBeijingChina Center for Nerve Injury and Repair Beijing Institute of Brain DisordersChina National Clinical Research Center for Neurological DiseasesBeijingChina

Although microglial polarization and neuroinflammation are crucial cellular responses after traumatic brain injury,the fundamental regulatory and functional mechanisms remain insufficiently *** potent anti-inflammato ry agents,the use of glucoco rticoids in traumatic brain injury is still controversial,and their regulatory effects on microglial polarization are not yet *** the present study,we sought to determine whether exacerbation of traumatic brain injury caused by high-dose dexamethasone is related to its regulatory effects on microglial polarization and its mechanisms of *** vitro cultured BV2 cells and primary microglia and a controlled cortical impact mouse model were used to investigate the effects of dexamethasone on microglial ***,dexamethasone,RU486(a glucocorticoid receptor antagonist),and ruxolitinib(a Janus kinase 1 antagonist)were ***-sequencing data obtained from a C57BL/6 mouse model of traumatic brain injury were used to identify potential targets of *** Morris water maze,quantitative reverse transcription-polymerase chain reaction,western blotting,immunofluorescence and confocal microscopy analysis,and TUNEL,Nissl,and Golgi staining were performed to investigate our ***-throughput sequencing results showed that arginase 1,a marker of M2 microglia,was significantly downregulated in the dexamethasone group compared with the traumatic brain injury group at3 days post-traumatic brain *** dexamethasone inhibited M1 and M2 microglia,with a more pronounced inhibitory effect on M2microglia in vitro and in *** receptor plays an indispensable role in microglial polarization after dexamethasone treatment following traumatic brain ***,glucocorticoid receptor activation increased the number of apoptotic cells and neuronal death,and also decreased the density of dendritic spines.A possible downstream receptor signaling mechanism is th

关键词： apoptosis BV2 microglia dexamethasone glucocorticoid receptor glucocorticoids innate immune system microglial polarization neuroinflammation primary microglia traumatic brain injury

Hsa-miR-214-3p inhibits breast cancer cell growth and improves the tumor immune microenvironment by downregulating B7H3

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Oncology Research 2025年第1期33卷 103-121页

作者： YAN lu KANG WANG YUANHONG PENG MENG CHEN LIN ZHONG luJI HUANG FU CHENG XINDAN sheng XIN YANG MANZHAO OUYANG GEORGE A.CALIN ZHIWEI HE China-America Cancer Research Institute Guangdong Medical UniversityDongguan523808China GCP Center Shunde HospitalSouthern Medical University(The First People’s Hospital of Shunde Foshan)Shunde528300China Department of Gastrointestinal Surgery Shunde HospitalSouthern Medical University(The First People’s Hospital of Shunde Foshan)Shunde528300China The Second School of Clinical Medicine Southern Medical UniversityGuangzhou510080China Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer CenterHoustonTX 77030USA Department of Oncology Shunde HospitalSouthern Medical University(The First People’s Hospital of Shunde Foshan)Shunde528300China

Background:Immune checkpoint inhibitors play an important role in the treatment of solid tumors,but the currently used immune checkpoint inhibitors targeting programmed cell death-1(PD-1),programmed cell death ligand-1(PD-L1),and cytotoxic T-lymphocyte antigen-4(CTLA-4)show limited clinical efficacy in many breast cancers.B7H3 has been widely reported as an immunosuppressive molecule,but its immunological function in breast cancer patients remains ***:We analyzed the expression of B7H3 in breast cancer samples using data from the Cancer Genome Atlas Program(TCGA)and the Gene Expression Omnibus(GEO)*** were selected using the TarBase,miRTarBase,and miRBase *** regulatory role of the microRNA hsa-miR-214-3p on B7H3 was investigated through dual-luciferase reporter assays,which identified the specific action sites of *** expression levels of B7H3 and hsa-miR-214-3p in human breast cancer tissues and adjacent normal tissues were quantified using Western blotting and quantitative PCR(qPCR).In vitro experiments were performed to observe the effects of modulating the expression of B7H3 or hsa-miR-214-3p on breast cancer cell proliferation and ***,the regulatory impact of hsa-miR-214-3p on B7H3 was ***-linked immunosorbent assays(ELISA)and flow cytometry were employed to assess the effects of co-cultured breast cancer cells and normal human peripheral blood mononuclear cells(PBMCs)on immune cells and associated ***:In breast cancer tissues,the expression level of B7H3 is inversely correlated with that of hsa-miR-214-3p,as well as with the regulatory effects on breast cancercell ***-miR-214-3p was found to inhibit breast cancer cell growth by downregulating ***,our research identified,for the first time,two binding sites for hsa-miR-214-3p on the 3’UTR of B7H3,both of which exert similar effects ***-culture experiments revealed that hsamiR-214-3p

关键词： Breast cancer B7H3 Hsa-miR-214-3p Immunotherapy

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兔抗仿蜘蛛牵丝蛋白抗体的制备及应用

生物化学与生物物理学报 2003年第8期35卷 756-760页

作者：郭廷晴赵昀汪生鹏董良陆长德中国科学院上海生命科学研究院生物化学与细胞生物学研究所中国科学院上海生命科学研究院生物化学与细胞生物学研究所上海200031

将仿蜘蛛牵丝基因s6 0 0克隆到GST融合蛋白表达质粒pGEX KG中 ,利用大肠杆菌表达系统表达并纯化了仿蜘蛛牵丝蛋白S6 0 0 ,以之作为抗原制备了兔抗血清。S6 0 0的氨基酸组分分析与理论值相吻合。蛋白质免疫印迹发现该抗血清能与天然蜘蛛... 详细信息

将仿蜘蛛牵丝基因s6 0 0克隆到GST融合蛋白表达质粒pGEX KG中 ,利用大肠杆菌表达系统表达并纯化了仿蜘蛛牵丝蛋白S6 0 0 ,以之作为抗原制备了兔抗血清。S6 0 0的氨基酸组分分析与理论值相吻合。蛋白质免疫印迹发现该抗血清能与天然蜘蛛丝反应 ,表明设计的仿蜘蛛丝与天然蜘蛛丝有相似的免疫原性。为了定量检测仿蜘蛛牵丝蛋白在转基因家蚕丝腺中 (或茧壳中 )的表达 ,建立了用ELISA方法定量检测茧壳中仿蜘蛛牵丝蛋白量的工作系统

关键词：仿蜘蛛牵丝蛋白兔抗血清茧壳 ELISA

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大鼠βB2晶体蛋白的克隆、高效表达及纯化

生物化学与生物物理学报 2000年第1期32卷 21-25页

作者：赵惠仁胡书群裴冬生陆梁张光毅徐州医学院生物化学和分子生物学研究中心!徐州221002

β晶体蛋白是含量最高的一组晶状体结构蛋白。它的正常结构对维持晶状体的高折射系数和透明至关重要，而其结构的改变与白内障的形成密切相关。为了获得大量纯的βＢ２晶体蛋白并用定点突变的方法研究其聚合的机制，建立了大鼠β... 详细信息

β晶体蛋白是含量最高的一组晶状体结构蛋白。它的正常结构对维持晶状体的高折射系数和透明至关重要，而其结构的改变与白内障的形成密切相关。为了获得大量纯的βＢ２晶体蛋白并用定点突变的方法研究其聚合的机制，建立了大鼠βＢ２晶体蛋白的细菌表达系统及纯化方法。用ＲＴＰＣＲ的方法克隆了β晶体蛋白中含量最高的βＢ２晶体蛋白的ｃＤＮＡ。用萘啶酮酸诱导ｒｅｃＡ启动子后，蛋白质在大肠杆菌中得到了高效表达。βＢ２晶体蛋白约占菌体蛋白质的３０％。表达的蛋白质位于细胞的可溶性组分中。用ＤＥＡＥ纤维素层析和凝胶过滤纯化了重组βＢ２晶体蛋白，ＳＤＳＰＡＧＥ显示一条带。Ｗｅｓｔｅｒｎ印迹分析证明所纯化的蛋白质是βＢ２晶体蛋白。βＢ２晶体蛋白表达质粒的构建及高效表达和快速简便纯化方法的建立为进一步研究其结构和功能的关系奠定了基础。

关键词： βB2晶体蛋白表达纯化大肠杆菌

LiDAR-Visual SLAM with Integrated Semantic and Texture Information for Enhanced Ecological Monitoring Vehicle Localization

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Computers, Materials & Continua 2025年第1期82卷 1401-1416页

作者： Yiqing lu Liutao Zhao Qiankun Zhao Foreign Environmental Cooperation Center Ministry of Ecology and Environment of PRCBeijing100035China Beijing Computing Center Co. Ltd.Beijing Academy of Science and TechnologyBeijing100083China Beijing Guyu Interactive Artificial Intelligence Application Co. Ltd.Beijing100024China

Ecological monitoring vehicles are equipped with a range of sensors and monitoring devices designed to gather data on ecological and environmental *** vehicles are crucial in various fields,including environmental science research,ecological and environmental monitoring projects,disaster response,and emergency management.A key method employed in these vehicles for achieving high-precision positioning is LiDAR(lightlaser detection and ranging)-Visual Simultaneous Localization and Mapping(SLAM).However,maintaining highprecision localization in complex scenarios,such as degraded environments or when dynamic objects are present,remains a significant *** address this issue,we integrate both semantic and texture information from LiDAR and cameras to enhance the robustness and efficiency of data ***,semantic information simplifies the modeling of scene elements,reducing the reliance on dense point clouds,which can be less ***,visual texture information complements LiDAR-Visual localization by providing additional contextual *** incorporating semantic and texture details frompaired images and point clouds,we significantly improve the quality of data association,thereby increasing the success rate of *** approach not only enhances the operational capabilities of ecological monitoring vehicles in complex environments but also contributes to improving the overall efficiency and effectiveness of ecological monitoring and environmental protection efforts.

关键词： LiDAR-Visual simultaneous localization and mapping integrated semantic texture information

A quantum-search-based multi-classifier for image recognition

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 21-31页

作者： lu Liu Xingyu Wu lufan Zhang Chuan Wang School of Artificial Intelligence Beijing Normal University Applied Optics Beijing Area Major Laboratory Beijing Normal University

The multi-class classification of images is a pivotal challenge within the realm of image processing. As the volume of visual data continues to expand, there is a burgeoning interest in harnessing the unique capabilities of quantum computation to augment the efficiency of classification tasks. However, many existing methods for training quantum image multi-classifiers parallel classical machine learning techniques, where the requisite circuit measurements increase linearly with the volume of training data. This work introduces a novel approach for training a quantum image multi-classifier based on the quantum search algorithm. We have meticulously conducted rigorous experiments on a handwritten digit dataset, a classic benchmark in the field. The results have been meticulously compared with previous works, and the comparative analysis not only validates the efficiency of our proposed approach, requiring only O(N/b) measurements during training, but also highlights a significant quadratic speedup of the algorithm.

关键词： quantum computation image recognition quantum search algorithm