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肝肾综合征肾血管收缩机制的研究进展

世界华人消化杂志 2008年第9期16卷 982-986页

作者：郭莲怡刘沛中国医科大学第一临床学院传染科辽宁省沈阳市110011

肝肾综合征(hepatorenal syndrome,HRS)是肝病晚期并发的肾功衰竭综合征,肾脏本身无器质性病变,肾血管收缩是其病理生理标志.目前肾血管收缩的可能机制为肾脏神经体液系统激活,肾血管活性物质失衡,引起肾血管收缩的细胞内分子信息传递机... 详细信息

肝肾综合征(hepatorenal syndrome,HRS)是肝病晚期并发的肾功衰竭综合征,肾脏本身无器质性病变,肾血管收缩是其病理生理标志.目前肾血管收缩的可能机制为肾脏神经体液系统激活,肾血管活性物质失衡,引起肾血管收缩的细胞内分子信息传递机制.本文就其相关研究进展进行综述.

关键词：肝肾综合征肾血管收缩

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论苏轼雪堂符号意义的生成

黄冈师范学院学报 2022年第1期42卷 67-72页

作者：连国义牡丹江师范学院文学院黑龙江牡丹江157011

雪堂是苏轼贬谪黄州时期自己营建的居所,也是其标志性符号之一,后世时以“雪堂”系列称谓来指称苏轼。在这样一个符号的生成和凝定过程中有若干富有意味的细节与环节。人们对雪堂这一率性而富有诗意的命名方式颇为称道,而《雪堂记》文... 详细信息

雪堂是苏轼贬谪黄州时期自己营建的居所,也是其标志性符号之一,后世时以“雪堂”系列称谓来指称苏轼。在这样一个符号的生成和凝定过程中有若干富有意味的细节与环节。人们对雪堂这一率性而富有诗意的命名方式颇为称道,而《雪堂记》文本则被忽视。《后赤壁赋》开篇就提及雪堂,这有助于雪堂的广泛传播。王禹偁的竹楼与雪堂同为名人遗迹,且对举得当,常被同时使用。雪堂也成为绘画题材,其中《雪堂听雨图》包含有兄弟情深的寓意。雪堂为人们提供了真实可感的纪念场所,它与东坡、赤壁在现实空间和书写空间上彼此关联,共同构成一个后世追慕苏轼的场域。

关键词：雪堂苏轼称谓

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论苏轼对宋高宗朝贬谪诗人的影响

内蒙古大学学报（哲学社会科学版） 2015年第2期47卷 45-51页

作者：连国义中国人民大学国学院北京100872

贬谪诗人的大量出现是宋高宗朝突出的政治现象和文学现象。这一时期贬谪诗人达观心态的获得在一定程度上受到了苏轼的影响,苏轼在面对贬谪生涯时所表现出来的超脱旷达为他们树立了积极的榜样。苏轼的这种典范作用落实到诗人贬谪时期的... 详细信息

贬谪诗人的大量出现是宋高宗朝突出的政治现象和文学现象。这一时期贬谪诗人达观心态的获得在一定程度上受到了苏轼的影响,苏轼在面对贬谪生涯时所表现出来的超脱旷达为他们树立了积极的榜样。苏轼的这种典范作用落实到诗人贬谪时期的诗歌创作上,主要表现为"东坡素材"诗歌的创作及和陶诗、和苏诗的写作。

关键词：苏轼贬谪诗人宋高宗朝影响和苏诗

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南渡诗人李处权及其诗歌初探

新乡师范高等专科学校学报 2006年第3期20卷 117-119页

作者：连国义南京师范大学文学院江苏南京210097

李处权宣和中与朱敦儒俱以诗名,建炎末南渡,辗转于江西、福建、江苏、浙江等地,与当时许多诗人皆有交游及诗歌酬唱,今存有《崧庵集》六卷.对其籍贯、生平加以简要考述,并对其诗歌创作的艺术成就加以初步探讨,将有助于对南渡诗人群体心... 详细信息

李处权宣和中与朱敦儒俱以诗名,建炎末南渡,辗转于江西、福建、江苏、浙江等地,与当时许多诗人皆有交游及诗歌酬唱,今存有《崧庵集》六卷.对其籍贯、生平加以简要考述,并对其诗歌创作的艺术成就加以初步探讨,将有助于对南渡诗人群体心态及创作的研究.

关键词：李处权南渡诗人籍贯生平诗歌创作

The detection, extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 86-96页

作者： Qianyun Yun Wen-Biao Han yi-Yang guo He Wang Minghui Du Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Shanghai Astronomical Observatory Chinese Academy of Sciences School of Physics and Astronomy Shanghai Jiao Tong University School of Astronomy and Space Science University of Chinese Academy of Sciences Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou) University of Chinese Academy of Sciences Lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu Province Key Laboratory of Quantum Theory and Applications of MoE Lanzhou University Institute of Theoretical Physics & Research Center of Gravitation Lanzhou University International Centre for Theoretical Physics Asia-Pacific (ICTP-AP) University of Chinese Academy of Sciences (UCAS) Center for Gravitational Wave Experiment National Microgravity Laboratory Institute of Mechanics Chinese Academy of Sciences

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EMRIs). This task is particularly challenging because EMRI signals are complex, lengthy, and faint. In this work, we introduce a2-layer convolutional neural network(CNN) approach to detect EMRI signals for space-borne detectors, achieving a true positive rate(TPR) of 96.9% at a 1% false positive rate(FPR) for signal-to-noise ratio(SNR) from 50 to 100. Especially, the key intrinsic parameters of EMRIs such as the mass, spin of the supermassive black hole(SMBH) and the initial eccentricity of the orbit can also be inferred directly by employing a neural network. The mass and spin of the SMBH can be determined at 99% and 92% respectively. This will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform model. This study underscores the potential of deep learning methods in EMRI data analysis, enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

Exosomes:the next-generation therapeutic platform for ischemic stroke

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Neural Regeneration Research 2025年第5期20卷 1221-1235页

作者： Wenjing yin Hongyin Ma Yang Qu Jiaxin Ren yingying Sun Zhen-Ni guo yi Yang Stroke Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina Neuroscience Research Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina

Current therapeutic strategies for ischemic stroke fall short of the desired objective of neurological functional ***,there is an urgent need to develop new methods for the treatment of this *** are natural cell-derived vesicles that mediate signal transduction between cells under physiological and pathological *** have low immunogenicity,good stability,high delivery efficiency,and the ability to cross the blood–brain *** physiological properties of exosomes have the potential to lead to new breakthroughs in the treatment of ischemic *** rapid development of nanotechnology has advanced the application of engineered exosomes,which can effectively improve targeting ability,enhance therapeutic efficacy,and minimize the dosages *** in technology have also driven clinical translational research on *** this review,we describe the therapeutic effects of exosomes and their positive roles in current treatment strategies for ischemic stroke,including their antiinflammation,anti-apoptosis,autophagy-regulation,angiogenesis,neurogenesis,and glial scar formation reduction ***,it is worth noting that,despite their significant therapeutic potential,there remains a dearth of standardized characterization methods and efficient isolation techniques capable of producing highly purified *** optimization strategies should prioritize the exploration of suitable isolation techniques and the establishment of unified workflows to effectively harness exosomes for diagnostic or therapeutic applications in ischemic ***,our review aims to summarize our understanding of exosome-based treatment prospects in ischemic stroke and foster innovative ideas for the development of exosome-based therapies.

关键词： blood–brain barrier electroacupuncture engineering exercise exosomes ischemic stroke mesenchymal stem cells microglia neuroprotection stents

Decreased levels of phosphorylated synuclein in plasma are correlated with poststroke cognitive impairment

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Neural Regeneration Research 2025年第9期20卷 2598-2610页

作者： yi Wang Yuning Li Yakun Gu Wei Ma Yuying Guan Mengyuan guo Qianqian Shao Xunming Ji Jia Liu Department of Clinical Laboratory Beijing Bo’ai HospitalChina Rehabilitation Research CenterCapital Medical UniversityBeijingChina Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Science and TechnologyCollaborative Innovation Center for Brain DisordersBeijing Advanced Innovation Center for Big Data-based Precision MedicineCapital Medical UniversityBeijingChina Department of Neurosurgery Xuanwu HospitalCapital Medical UniversityBeijingChina

Poststro ke cognitive impairment is a major secondary effect of ischemic stroke in many patients;however,few options are available for the early diagnosis and treatment of this *** aims of this study were to(1)determine the specific relationship between hypoxic andα-synuclein during the occur of poststroke cognitive impairment and(2)assess whether the serum phosphorylatedα-synuclein level can be used as a biomarker for poststro ke cognitive *** found that the phosphorylatedα-synuclein level was significantly increased and showed pathological aggregation around the cerebral infa rct area in a mouse model of ischemic *** addition,neuronalα-synuclein phosphorylation and aggregation were observed in the brain tissue of mice subjected to chronic hypoxia,suggesting that hypoxia is the underlying cause ofα-synuclein-mediated pathology in the brains of mice with ischemic *** phosphorylatedα-synuclein levels in patients with ischemic stroke were significantly lower than those in healt hy subjects,and were positively correlated with cognition levels in patients with ischemic ***,a decrease in serum high-density lipoprotein levels in stroke patie nts was significantly correlated with a decrease in phosphorylatedα-synuclein *** ischemic stroke mice did not show significant cognitive impairment or disrupted lipid metabolism 14 days after injury,some of them exhibited decreased cognitive function and reduced phosphorylatedα-synuclein *** together,our results suggest that serum phosphorylatedα-synuclein is a potential biomarker for poststroke cognitive impairment.

关键词： biomarker high-density lipoprotein ischemic stroke phosphorylatedα-synuclein poststroke cognitive impairment

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入库洪水计算方法及研究进展综述

中国农村水利水电 2016年第11期 1-6,11页

作者：刘章君郭生练钟逸轩郭海晋李妍清武汉大学水资源与水电工程科学国家重点实验室武汉430072 长江水利委员会水文局武汉430010

水库建成以后,流域产汇流条件发生改变,采用入库洪水系列作为设计和调度依据更符合实际情况。介绍了入库洪水的概念及特点,综述了国内外入库设计洪水计算方法的研究进展,分析比较了各类方法的适用范围和适用条件。最后讨论了存在的主要... 详细信息

水库建成以后,流域产汇流条件发生改变,采用入库洪水系列作为设计和调度依据更符合实际情况。介绍了入库洪水的概念及特点,综述了国内外入库设计洪水计算方法的研究进展,分析比较了各类方法的适用范围和适用条件。最后讨论了存在的主要问题,并展望了入库洪水研究的发展方向。

关键词：入库洪水坝址洪水流量叠加法马斯京根法槽蓄曲线法水量平衡法

circ2CBA: prediction of circRNA-RBP binding sites combining deep learning and attention mechanism

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Frontiers of Computer Science 2023年第5期17卷 217-225页

作者： Yajing guo Xiujuan LEI lian LIU yi PAN School of Computer Science Shaanxi Normal UniversityXi’an 710119China Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Circular RNAs(circRNAs)are RNAs with closed circular structure involved in many biological processes by key interactions with RNA binding proteins(RBPs).Existing methods for predicting these interactions have limitations in feature *** view of this,we propose a method named circ2CBA,which uses only sequence information of circRNAs to predict circRNA-RBP binding *** have constructed a data set which includes eight ***,circ2CBA encodes circRNA sequences using the one-hot ***,a two-layer convolutional neural network(CNN)is used to initially extract the *** CNN,circ2CBA uses a layer of bidirectional long and short-term memory network(BiLSTM)and the self-attention mechanism to learn the *** AUC value of circ2CBA reaches *** of circ2CBA with other three methods on our data set and an ablation experiment confirm that circ2CBA is an effective method to predict the binding sites between circRNAs and RBPs.

关键词： circRNAs RBPs CNN BiLSTM self-attention mechanism