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Reduced mesencephalic astrocyte-derived neurotrophic factor expression by mutant androgen receptor contributes to neurodegeneration in a model of spinal and bulbar muscular atrophy pathology

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Neural Regeneration Research 2025年第9期20卷 2655-2666页

作者： Yiyang Qin Wenzhen Zhu Tingting Guo yiran zhang Tingting Xing Peng Yin Shihua Li Xiao-Jiang Li Su Yang Guangdong Key Laboratory of Non-human Primate Research Key Laboratory of CNS Regeneration(Ministry of Education)Guangdong–HongKong–Macao Institute of CNS RegenerationJinan UniversityGuangzhouGuangdong ProvinceChina

Spinal and bulbar muscular atrophy is a neurodegenerative disease caused by extended CAG trinucleotide repeats in the androgen receptor gene,which encodes a ligand-dependent transcription facto *** mutant androgen receptor protein,characterized by polyglutamine expansion,is prone to misfolding and forms aggregates in both the nucleus and cytoplasm in the brain in spinal and bulbar muscular atrophy *** aggregates alter protein-protein interactions and compromise transcriptional *** this study,we reported that in both cultured N2a cells and mouse brain,mutant androgen receptor with polyglutamine expansion causes reduced expression of mesencephalic astrocyte-de rived neurotrophic *** n of mesencephalic astrocyte-derived neurotrophic factor amelio rated the neurotoxicity of mutant androgen receptor through the inhibition of mutant androgen receptor *** down endogenous mesencephalic astrocyte-derived neurotrophic factor in the mouse brain exacerbated neuronal damage and mutant androgen receptor *** findings suggest that inhibition of mesencephalic astrocyte-derived neurotrophic factor expression by mutant androgen receptor is a potential mechanism underlying neurodegeneration in spinal and bulbar muscular atrophy.

关键词： androgen receptor mesencephalic astrocyte-derived neurotrophic factor mouse model neurodegeneration neuronal loss neurotrophic factor polyglutamine disease protein misfolding spinal and bulbar muscular atrophy transcription factor

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Achievements, challenges and opportunities in hydrogen production fromwater/seawater splitting using boron-based materials

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Science China Materials 2025年第2期68卷 341-363页

作者： yiran zhang Yang Xu Qi Zhou Junjun Li Xinyi Wang Zhenwei Zhao Zhicheng zhang Key Laboratory of Organic Integrated Circuits Ministry of Education&Tianjin Key Laboratory of Molecular Optoelectronic SciencesDepartment of ChemistrySchool of ScienceTianjin UniversityTianjin 300072China Department of Chemistry Tsinghua UniversityBeijing 100084China

Water splitting is recognized as an environmentally friendly and feasible method to produce ***, the high cost, low storage capacity, and poorstability of traditional noble metal-based electrocatalysts haveseverely limited the industrial application of electrocatalyticwater splitting. The utilization of seawater splitting not onlyfacilitates the production of high-purity hydrogen on a largescale but also concurrently promotes the desalination *** the past decades, transition metal borides (TMBs) havebeen widely used in the field of water splitting due to theadvantages of simple preparation process, good stability, andeasily adjustable composition. This review summarizes therecent progress of TMBs in the electrolysis of water and ***, the influencing factors of electrocatalytic performance and related evaluations are introduced. The basicprinciples of hydrogen evolution reaction, oxygen evolutionreaction, and chlorine evolution reaction in seawater electrolysisare discussed in detail, pointing out the various problemscaused by chloride ions (Cl^(−)) in the process of hydrogenproduction from seawater splitting. In addition, the preparation and optimization strategies of TMBs are ***, the development, challenges, and prospects of electrolytic seawater hydrogen production technology are presented. This review aims to furnish deeper insights intoenhancing the electrocatalytic performance of TMBs in thiscritical area of research.

关键词： water/seawater splitting transition metal borides hydrogen production

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光伏发电系统效率优化策略与实践研究

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通信电源技术 2025年第2期42卷 134-136页

作者：张屹然安徽电信规划设计有限责任公司安徽合肥230000

光伏发电系统作为可再生能源系统的重要组成部分,其效率优化对于提高能源利用率、减少环境污染具有重要意义。分析光伏发电系统效率优化的主要策略,包括光伏组件选型与布局优化、逆变器效率提升、温度与角度控制、光伏阵列跟踪以及应用... 详细信息

光伏发电系统作为可再生能源系统的重要组成部分,其效率优化对于提高能源利用率、减少环境污染具有重要意义。分析光伏发电系统效率优化的主要策略,包括光伏组件选型与布局优化、逆变器效率提升、温度与角度控制、光伏阵列跟踪以及应用能量管理系统等。通过综合应用多种优化策略,可以显著提升光伏发电系统的总体效能,为可再生能源的广泛应用提供有力支持。

关键词：光伏发电系统效率优化光伏组件逆变器温度控制光伏阵列跟踪

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M_(0.1)-BiVO_(4)(M=Fe,Cr,Mo,W)氨气传感器性能的研究

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传感器与微系统 2025年第1期44卷 34-38页

作者：杨琳张毅然林赫上海交通大学动力机械与工程教育部重点实验室上海200240 上海交通大学智慧能源创新学院上海200240

采用溶液燃烧合成(SCS)法合成了纯钒酸铋(BiVO_(4))和元素掺杂的M_(0.1)-BiVO_(4)(M=Fe,Cr,Mo,W),制备基于氧化钇稳定的氧化锆(YSZ)固体电解质和Ag参比电极的混合电位型氨气(NH3)传感器。研究发现,随着工作温度的升高,灵敏度呈现先增大... 详细信息

采用溶液燃烧合成(SCS)法合成了纯钒酸铋(BiVO_(4))和元素掺杂的M_(0.1)-BiVO_(4)(M=Fe,Cr,Mo,W),制备基于氧化钇稳定的氧化锆(YSZ)固体电解质和Ag参比电极的混合电位型氨气(NH3)传感器。研究发现,随着工作温度的升高,灵敏度呈现先增大后减小的趋势,分别归因于电化学反应活性的提高和活跃的气固多相催化反应降低了三相界面(TPB)区域的NH3吸附量。传感器在工作温度525℃下表现出最优的灵敏度(-128.092 mV/dec)。Fe掺杂将响应时间从471.6 s降低至95.4 s,Mo掺杂将灵敏度提升至-168.786 mV/dec。极化曲线的结果验证了传感器响应机理符合混合电势理论。

关键词： M_(0.1)-钒酸铋氨气传感器煅烧温度元素掺杂敏感性能

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不平衡网压下M-DCPFC脉动功率分配控制策略

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电力自动化设备 2025年第2期45卷 119-126页

作者：张怡然荆龙吴学智田若宁孙瑞东北京交通大学国家能源主动配电网技术研发中心北京100044

在多端直流配电网中,变换器的交流侧发生网压不平衡会导致其直流侧产生2倍频脉动,从而影响配电网中敏感负荷的供电电能质量。针对该问题,以适用于多端直流配电网的直流潮流控制器(DCPFC)为研究对象,提出一种不平衡网压下的脉动功率分配... 详细信息

在多端直流配电网中,变换器的交流侧发生网压不平衡会导致其直流侧产生2倍频脉动,从而影响配电网中敏感负荷的供电电能质量。针对该问题,以适用于多端直流配电网的直流潮流控制器(DCPFC)为研究对象,提出一种不平衡网压下的脉动功率分配控制策略。在DCPFC各端口处加入针对2倍频脉动的虚拟阻抗,可以实现2倍频脉动功率在任意线路上的自由分配,以减小对敏感负荷的影响。各端口加入的虚拟阻抗以线路损耗最小为原则进行设计,并利用根轨迹法进一步精确虚拟阻抗的选取范围,使其在分配脉动功率的同时不会影响系统稳定性。通过仿真和实验验证所提控制策略和设计方法的有效性。

关键词：多端口直流潮流控制器虚拟阻抗不平衡网压控制策略脉动功率

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UNIFORMLY A POSTERIORI ERROR ESTIMATE FOR THE FINITE ELEMENT METHOD TO A MODEL PARAMETER DEPENDENT PROBLEM

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Journal of Computational Mathematics 2008年第5期26卷 716-727页

作者： yiran zhang Jun Hu LMAM and School of Mathematical Sciences Peking University Beijing 100871 China

This paper proposes a reliable and efficient a posteriori error estimator for the finite element methods for the beam problem. It is proved that the error can be bounded by the computable error estimator from above an... 详细信息

关键词： The beam problem A posteriori error estimator Finite element method.

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Determination and evaluation of serum monosaccharides in patients with early-stage lung adenocarcinoma

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中华医学杂志(英文版) 2025年第03期

作者： Su Wenhao Hao Cui Yang Yifei Zeng Pengjiao Dou Huaiqian zhang Meng He Yanli zhang yiran Shan Ming Du Wenxing Jiao Wenjie zhang Lijuan Department of Thoracic Surgery Affiliated Hospital of Qingdao University Qingdao Shandong China Systems Biology & Medicine Center for Complex Diseases Center for Clinical Research Affiliated Hospital of Qingdao University Qingdao Shandong China

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Regional climate response to global warming in the source region of the Yellow River and its impact on runoff

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Science China Earth Sciences 2024年第3期67卷 843-855页

作者： yiran zhang Degang ZHOU Xiaofeng GUO Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

The source region of the Yellow River has experienced obvious climate and discharge changes in recent decades due to global warming, which largely affects the water resources and ecological and environmental security in the Yellow River basin. This study analyzed the changes in runoff and several climate factors in the source region of the Yellow River based on the observed discharges at the Tangnag hydrological station, routine meteorological data from China Meteorological Administration(CMA) stations within and near this source region, and several evaporation datasets. The results indicate that the runoff in the source region was relatively abundant from 1960 to 1989 and then declined sharply afterward. It recovered slightly after 2005 but was still below normal—10% less than that during 1960–1989. Similarly, the precipitation amounts in the source region were relatively low in the 1990s, but they increased significantly after 2003, with an average increase of 31.4 mm or 6% more when compared to that in 1960–1989. In addition, the temperatures in the source region continued to rise from 1960 to 2017, and the evaporation levels also showed an upward trend after 1990. The influences of the spatial and temporal variations in climatic factors on runoff in the source region were then further analyzed. The results indicate that the decreases in precipitation and the number of days of heavy rainfall in the source region from 1990 to 2002 were important reasons for the lower runoff during this period. After 2003, the precipitation in the southeastern part of the source region, which is a key area for runoff generation,increased only to a limited extent, but the evaporation in the entire source region generally increased with increasing temperature,which might have led to the low capacity for actual runoff production in each subbasin and persistent low runoff in the source region. Therefore, such a climate response to global warming in the source region might be unfavorabl

关键词： The source region of the Yellow River Climate response Runoff variation Evaporation Precipitation

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Anti-inflammatory and Immunomodulatory Effects of Marine n-3 Polyunsaturated Fatty Acids on Human Health and Diseases

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Journal of Ocean University of China 2019年第2期18卷 481-492页

作者： zhang yiran MIN Junxia zhang Lijuan The First Affiliated Hospital Institute of Translational Medicine School of Medicine Zhejiang University Institute of Cerebrovascular Diseases Affiliated Hospital of Qingdao University

The pharmaceutical effects of n-3 polyunsaturated fatty acids(n-3 PUFAs) as dietary nutrients on human health and diseases have gained much attention and are investigated for decades. Docosahexaenoic acid(DHA), eicosapentaenoic acid(EPA) and docosapentaenoic acid(DPA) are the three major n-3 PUFAs enriched in marine organisms, such as fish, shrimp, algae, and so on. It has been well known that n-3 PUFAs, especially DHA and EPA, are beneficial in reducing the risk of cardiovascular and cerebrovascular diseases. Accumulating evidence suggests that n-3 PUFAs might cure inflammatory diseases through several mechanisms, such as plasma membrane remodeling of lymphocytes, down-regulating pro-inflammatory cytokines, and alternating adhesion molecule expressions. Several molecular targets of n-3 PUFAs on immune-regulation have also been identified, such as GPR120(FFA4), protein kinase C(PKC), and PPAR-γ. However, it remains inconclusive if dietary n-3 PUFAs function the same both in vitro and in vivo based on cohort studies. This review will focus on the molecular targets and mechanisms of anti-inflammatory and immunomodulatory effects of n-3 PUFAs on human health and diseases, such as obesity, tumor, diabetes, and autoimmune diseases.

关键词： n-3 polyunsaturated fatty acids immune-regulation anti-inflammation mechanism

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Reverse-Nearest-Neighbor-Based Clustering by Fast Search and Find of Density Peaks

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Chinese Journal of Electronics 2023年第6期32卷 1341-1354页

作者： zhang Chunhao XIE Bin zhang yiran College of Computer and Cyber Security Hebei Normal University Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics and Data Security Hebei Normal University Hebei Provincial Key Laboratory of Network and Information Security Hebei Normal University

Clustering by fast search and find of density peaks(CFSFDP) has the advantages of a novel idea, easy implementation, and efficient clustering. It has been widely recognized in various fields since it was proposed in Science in 2014. The CFSFDP algorithm also has certain limitations, such as non-unified sample density metrics defined by cutoff distance, the domino effect for the assignment of remaining samples triggered by unstable assignment strategy, and the phenomenon of picking wrong density peaks as cluster centers. We propose reverse-nearest-neighbor-based clustering by fast search and find of density peaks(RNN-CFSFDP) to avoid these shortcomings. We redesign and unify the sample density metric by introducing reverse nearest neighbor. The newly defined local density metric and the K-nearest neighbors of each sample are combined to make the assignment process more robust and alleviate the domino effect. A cluster fusion algorithm is proposed, which further alleviates the domino effect and effectively avoids the phenomenon of picking wrong density peaks as cluster centers. Experimental results on publicly available synthetic data sets and real-world data sets show that in most cases, the proposed algorithm is superior to or at least equivalent to the comparative methods in clustering performance. The proposed algorithm works better on manifold data sets and uneven density data sets.

关键词： Measurement Manifolds Shape Clustering algorithms Synthetic data

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