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云南地质 2024年第3期43卷 487-490页

作者：林翠艳广东省有色地质环境中心广东广州500030

为解决水中氯化物测量工作中存在的问题,本文结合硝酸银容量法,开展不确定度评定相关研究。对水中氯化物的测定方法进行分析。在此基础上,重点研究不确定度评定中的相关来源,以期为相关人员提供参考。

关键词：水中氯化物硝酸银容量法不确定度

Mesenchymal stromal cell-dependent immunoregulation in chemically-induced acute liver failure

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World Journal of Stem Cells 2021年第3期13卷 208-220页

作者： Jia-Hang Zhou Xuan Lu cui-lin yan Xin-Yu Sheng Hong-cui Cao State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesThe First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003Zhejiang ProvinceChina Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases The First Affiliated HospitalZhejiang University School of MedicineHangzhou 310003Zhejiang ProvinceChina

Drug-induced liver injury(DILI),which refers to liver damage caused by a drug or its metabolites,has emerged as an important cause of acute liver failure(ALF)in recent ***-induced ALF in animal models mimics the pathology of DILI in humans;thus,these models are used to study the mechanism of potentially effective treatment *** stromal cells(MSCs)possess immunomodulatory properties,and they alleviate acute liver injury and decrease the mortality of animals with chemically-induced ***,we summarize some of the existing research on the interaction between MSCs and immune cells,and discuss the possible mechanisms underlying the immunomodulatory activity of MSCs in chemically-induced *** conclude that MSCs can impact the phenotype and function of macrophages,as well as the differentiation and maturation of dendritic cells,and inhibit the proliferation and activation of T lymphocytes or B *** also have immunomodulatory effects on the production of cytokines,such as prostaglandin E2 and tumor necrosis factor-alpha-stimulated gene 6,in animal ***,MSCs have significant benefits in the treatment of chemically-induced ALF by interacting with immune cells and they may be applied to DILI in humans in the near future.

关键词： Mesenchymal stromal cell Immune response Drug-induced liver injury Acute liver failure Dendritic cell

“Buckets effect”in the kinetics of electrocatalytic reactions

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Journal of Energy Chemistry 2024年第2期89卷 388-396,I0010页

作者： Haowen cui yan-Xia Chen Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical PhysicsUniversity of Science and Technology of ChinaHefei 230026AnhuiChina

In this study,we systematically investigated the effect of proton concentration on the kinetics of the oxygen reduction reaction(ORR)on Pt(111)in acidic *** results demonstrate a rectangular hyperbolic relationship,i.e.,the ORR current excluding the effect of other variables increases with proton concentration and then tends to a constant *** consider that this is caused by the limitation of ORR kinetics by the trace oxygen concentration in the solution,which determines the upper limit of ORR kinetics.A model of effective concentration is further proposed for rectangular hyperbolic relationships:when the reactant concentration is high enough to reach a critical saturation concentration,the effective reactant concentration will become a constant *** could be due to the limited concentration of a certain reactant for reactions involving more than one reactant or the limited number of active sites available on the *** study provides new insights into the kinetics of electrocatalytic reactions,and it is important for the proper evaluation of catalyst activity and the study of structureperformance relationships.

关键词： Oxygen reduction reaction Kinetics Zero order Rectangular hyperbolic relationship pH effect

Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction

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Petroleum Science 2024年第4期21卷 2329-2344页

作者： Jiu-Qiang yang Nian-Tian lin Kai Zhang yan cui Chao Fu Dong Zhang College of Earth Sciences and Engineering Shandong University of Science and Technology Laboratory for Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology Transportation Institute of Inner Mongolia University Key Laboratory of Gas Hydrate Qingdao Institute of Marine Geology Ministry of Natural Resources

Conventional machine learning(CML) methods have been successfully applied for gas reservoir prediction. Their prediction accuracy largely depends on the quality of the sample data; therefore, feature optimization of the input samples is particularly important. Commonly used feature optimization methods increase the interpretability of gas reservoirs; however, their steps are cumbersome, and the selected features cannot sufficiently guide CML models to mine the intrinsic features of sample data efficiently. In contrast to CML methods, deep learning(DL) methods can directly extract the important features of targets from raw data. Therefore, this study proposes a feature optimization and gas-bearing prediction method based on a hybrid fusion model that combines a convolutional neural network(CNN)and an adaptive particle swarm optimization-least squares support vector machine(APSO-LSSVM). This model adopts an end-to-end algorithm structure to directly extract features from sensitive multicomponent seismic attributes, considerably simplifying the feature optimization. A CNN was used for feature optimization to highlight sensitive gas reservoir information. APSO-LSSVM was used to fully learn the relationship between the features extracted by the CNN to obtain the prediction results. The constructed hybrid fusion model improves gas-bearing prediction accuracy through two processes of feature optimization and intelligent prediction, giving full play to the advantages of DL and CML methods. The prediction results obtained are better than those of a single CNN model or APSO-LSSVM model. In the feature optimization process of multicomponent seismic attribute data, CNN has demonstrated better gas reservoir feature extraction capabilities than commonly used attribute optimization methods. In the prediction process, the APSO-LSSVM model can learn the gas reservoir characteristics better than the LSSVM model and has a higher prediction accuracy. The constructed CNN-APSO-LSSVM mode

关键词： Multicomponent seismic data Deep learning Adaptive particle swarm optimization Convolutional neural network Least squares support vector machine Feature optimization Gas-bearing distribution prediction

Deciphering the linear relationship in the activity of the oxygen reduction reaction on Pt electrodes:A decisive role of adsorbates

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Journal of Energy Chemistry 2024年第7期94卷 70-77页

作者： Haowen cui yan-Xia Chen Hefei National Research Center for Physical Sciences at Microscale and Department of Chemical Physics University of Science and Technology of ChinaHefei 230026AnhuiChina

Despite substantial efforts in developing high-performance catalysts for the oxygen reduction reaction(ORR),the persistent challenge lies in the high onset overpotential of the ORR,and the effect of the elec-trolyte solution cannot be ***,we have systematically investigated the impact of adsorbate species and concentration,as well as solution pH,on the ORR activity on Pt(111)and Pt(poly)*** results all tend to establish a linear quantitative relationship between the onset potential for ORR and the adsorption equilibrium potential of the *** finding indicates the decisive role of adsorbates in the onset potential for ORR,suggesting that the adsorption potential of adsorbates can serve as an intuitive criterion for ORR *** support for this conclusion is derived from experimental results obtained from the oxygen evolution reaction on Pt(poly)with different adsorbate species and from the hydrogen evolution reaction on Pt(111)with iodine *** further propose both an empirical equation for the onset potential for ORR and the concept of a potential-regulated adsor-bate shielding effect to elucidate the influence of adsorbates on ORR *** study provides new insights into the high onset overpotential of the ORR and offers potential strategies for predicting and enhancingORRactivity inthefuture.

关键词： Oxygen reduction reaction Activity Adsorbate Equilibrium potential Pt(111)

Recent advances in high charge density triboelectric nanogenerators

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International Journal of Extreme Manufacturing 2024年第4期6卷 1-19页

作者： Xin cui Jiaheng Nie yan Zhang School of Physics University of Electronic Science and Technology of ChinaChengdu 611731People's Republic of China School of Cybersecurity Chengdu University of Information TechnologyChengdu 610225People's Republic of China Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 100083People's Republic of China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049People's Republic of China

Triboelectric materials with high charge density are the building-block for the commercial application of triboelectric nanogenerators(TENGs).Unstable dynamic processes influence the change of the charge density on the surface and inside of triboelectric *** charge density of triboelectric materials depends on the surface and the internal charge transfer *** focus of this review is on recent advances in high charge density triboelectric materials and advances in the fabrication of *** summarize the existing strategies for achieving high charge density in triboelectric materials as well as their fundamental *** then review current optimization methods for regulating dynamic charge transfer processes to increase the output charge density:first,increasing charge injection and limiting charge dissipation to achieve a high average surface charge density,and second,regulating the internal charge transfer process and storing charge in triboelectric materials to increase the output charge ***,we present the challenges and prospects in developing high-performance triboelectric materials.

关键词： triboelectric nanogenerator charge density charge transfer charge store

Risk Factors of Depression Screened by Two-Sample Mendelian Randomization Analysis:A Systematic Review

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Biomedical and Environmental Sciences 2024年第1期37卷 85-95页

作者： WANG Han lin XUE yan Feng cui Bao Qiu LIU Hong SHEN Xin Xin Shandong Provincial Research Center for Bioinformatic Engineering and Technique School of Life SciencesShandong University of TechnologyZibo 255049ShandongChina Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityTaiyuan 030013ShanxiChina State Key Laboratory of Infectious Disease Prevention and Control National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China

Objective This study explored the potentially modifiable factors for depression and major depressive disorder(MDD)from the MR-Base database and further evaluated the associations between drug targets with *** We analyzed two-sample of Mendelian randomization(2SMR)using genetic variant depression(n=113,154)and MDD(n=208,811)from Genome-Wide Association Studies(GWAS).Separate calculations were performed with modifiable risk factors from MR-Base for 1,001 *** MR analysis was performed by screening drug targets with MDD in the DrugBank database to explore the therapeutic targets for *** variance weighted(IVW),fixed-effect inverse variance weighted(FE-IVW),MR-Egger,weighted median,and weighted mode were used for complementary *** The potential causal relationship between modifiable risk factors and depression contained 459 results for depression and 424 for ***,the associations between drug targets and MDD showed that SLC6A4,GRIN2A,GRIN2C,SCN10A,and IL1B expression are associated with an increased risk of *** contrast,ADRB1,CHRNA3,HTR3A,GSTP1,and GABRG2 genes are candidate protective factors against *** This study identified the risk factors causally associated with depression and MDD,and estimated 10 drug targets with significant impact on MDD,providing essential information for formulating strategies to prevent and treat depression.

关键词： Risk factors Drug targets Depression Major depressive disorder Two-sample Mendelian randomization

Application of carbon materials for Zn anode protection in aqueous Zn metal batteries

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Rare Metals 2024年第10期43卷 4807-4843页

作者： cui-Qin Chao yan-Nan Li yan Zhao College of Energy Materials and Chemistry Inner Mongolia University School of Physical Science and Technology Inner Mongolia University

Aqueous Zn metal batteries (AZMBs) have gained widespread attention due to their high theoretica specific capacity,good safety,and low *** Zn anodes suffer from serious problems of dendrites and side reactions,which should be solved by modifying the Zn anode (Zn host,protective layer),electrolyte,and *** materials with structurally tunable and physicochemical stability properties have been widely used in the study of Zn anode protection and have also been reviewed in the past ***,review reports on carbon-based Zn anodes for Zn anode protection from new perspectives are still urgently ***,the timeliness of the review reports is very valuable for researchers to timely and accurately understand the dynamics of the research ***,this review firs reports the significance of AZMBs and summarizes the current main challenges that should be solved for practical ***,the ways to construct long-life Zn anodes using carbon materials from the perspectives of modified carbon materials with gradient properties (gradient zincophilicity,gradient electrical conductivity,and multigradient deposition) as protective layers/hosts to guide Zn ions toward bottom-up gradient Zn deposition are *** addition,the recent advances of carbon materials for electrolyte and separator modifications are ***,the remaining challenges and future perspectives of carbon materials in AZMBs Zn anode protection are briefly outlined.

关键词： Anode protection Aqueous Zn battery Carbon Gradient deposition

Adaptive admittance tracking control for interactive robot with prescribed performance

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Journal of Systems Engineering and Electronics 2024年第2期35卷 444-450页

作者： MENG Qingrui lin yan School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100190China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

An adaptive control approach is presented in this paper for tracking desired trajectories in interactive manipulators. The controller design incorporates prescribed performance functions (PPFs) to improve dynamic performance. Notably, the performance of the output error is confined in an envelope characterized by exponential convergence, leading to convergence to zero. This feature ensures a prompt response from admittance control and establishes a reliable safety framework for interactions. Simulation results provide practical insights,demonstrating the viability of the control scheme proposed in this paper.

关键词： prescribed performance admittance control adaptive control robots

Synthesis and characteristics of transparent Gd_(2)O_(3)ceramics with cubic structure

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Journal of Advanced Ceramics 2024年第4期13卷 463-468页

作者： Akio Ikesue yan lin Aung World Lab Co. Nagoya456-8587Japan

Transparent Gd_(2)O_(3)ceramics with a cubic crystal structure were successfully synthesized for the first *** Gd_(2)O_(3)ceramics subjected to hot isostatic press(HIP)at 1070℃consisted of uniform grains of 2-3μm,and only a few residual pores could be detected inside the materials.X-ray diffraction(XRD)shows that the obtained polycrystalline materials have a cubic crystal structure,and the transmission polarized light observation shows that there is no birefringence inside the materials,indicating inherent optical properties of the cubic crystal *** optical absorption edge is 640 nm(optical band gap:2.1 eV),and the transmittance in the visible to near-infrared region is 72%,which is close to the theoretical transmittance calculated from Fresnel *** constant of this material is almost wavelength-independent,and it is diamagnetic since it has the opposite polarity to that of common paramagnetic materials.

关键词： gadolinium oxide cubic hot isostatic press(HiP) diamagnetic Verdet constant