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二甲双胍诱导心肌细胞自噬对脓毒症小鼠心肌损伤的保护机制

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安徽医科大学学报 2024年第1期59卷 92-98页

作者：田勇周颖古雍翔杨国辉贵州医科大学临床医学院贵阳550004 铜仁市人民医院重症医学科铜仁554300 贵州医科大学附属医院内科重症监护室贵阳550004

目的探讨二甲双胍(Met)诱导心肌细胞自噬对脓毒症小鼠心肌损伤保护作用的可能机制。方法采用盲肠结扎穿孔术(CLP)构建脓毒症小鼠心肌损伤模型。将60只昆明小鼠随机分为假手术(Sham)组、模型(CLP)组、模型+二甲基亚砜(DMSO)(CLP+DMSO)组... 详细信息

目的探讨二甲双胍(Met)诱导心肌细胞自噬对脓毒症小鼠心肌损伤保护作用的可能机制。方法采用盲肠结扎穿孔术(CLP)构建脓毒症小鼠心肌损伤模型。将60只昆明小鼠随机分为假手术(Sham)组、模型(CLP)组、模型+二甲基亚砜(DMSO)(CLP+DMSO)组、模型+Met(Met)组、模型+Met+3-甲基腺嘌呤(3-MA)(Met+3-MA)组、模型+Met+复合物C(CC)(Met+CC)组,每组10只。Met、Met+3-MA及Met+CC组在建模前2周每日予Met(200 mg/kg)腹腔注射1次,Met+3-MA组术前1 h腹腔注射3-MA(10 mg/kg),Met+CC组术前30 min腹腔注射CC(20 mg/kg),末次注射Met 24 h后建模,所有小鼠在术后24 h留取心脏及血液。Western blot检测微管相关蛋白1轻链3(LC3)Ⅰ与LC3Ⅱ、自噬效应蛋白1(Beclin-1)、泛素结合蛋白62(p62)、B细胞淋巴瘤/白血病-2(Bcl-2)、Bcl-2相关X蛋白(Bax)、腺苷单磷酸(AMP)激酶(AMPK)和磷酸化AMPK(p-AMPK)的蛋白相对表达量;苏木精-伊红(HE)染色观察心肌病理改变;电镜观察心肌线粒体及自噬小体变化。结果与Sham组比较,CLP及CLP+DMSO组Beclin-1、p62、p-AMPK/AMPK的蛋白相对表达量及LC3Ⅱ/LC3Ⅰ差异无统计学意义,但CLP组Bax升高且Bcl-2降低(P<0.01);与CLP组比较,Met组Beclin-1的蛋白相对表达量及LC3Ⅱ/LC3Ⅰ升高且p62降低(P<0.01),Bax降低且Bcl-2升高(P<0.01);与Met组比较,Met+3-MA组Beclin-1的蛋白相对表达量及LC3Ⅱ/LC3Ⅰ降低且p62升高(P<0.05),Bax升高且Bcl-2降低(P<0.05),Met+CC组p-AMPK/AMPK的蛋白相对表达量降低(P<0.05)。HE染色见Sham组心肌纤维无紊乱,CLP组心肌纤维明显紊乱且见大量炎症细胞浸润,Met组心肌见空泡状改变,Met+3-MA组心肌纤维排列紊乱且见少量炎症细胞浸润。电镜见Sham组心肌线粒体形态正常;CLP组线粒体嵴排列排列紊乱且见空泡状改变,偶见自噬小体;Met组线粒体稍肿胀,见大量自噬体;Met+3-MA组线粒体明显肿胀,见少量自噬小体。结论二甲双胍对脓毒症小鼠心肌损伤的保护作用,可通过激活AMPK信号通路诱导自噬减轻心肌细胞凋亡、改善线粒体损伤。

关键词：二甲双胍自噬脓毒症心肌损伤线粒体凋亡

抑制TRAF6调节炎症和自噬改善脓毒症小鼠的心肌损伤和心功能

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实用医学杂志 2024年第5期40卷 608-614页

作者：周颖蒋大军田勇古雍翔杨国辉贵州医科大学临床医学院贵阳550004 黔西南州人民医院呼吸科贵州兴义562400 贵州医科大学附属医院贵阳550004

目的探索抑制TRAF6后对脓毒症小鼠心肌细胞自噬、炎症反应和心功能的改善作用。方法 (1)昆明雄性小鼠24只,随机分为4组,分别为假手术(sham)组、假手术+C25-140(sham+C)组、盲肠结扎穿刺术(CLP)组、盲肠结扎穿刺术+C25-140(CLP+C)组。sh... 详细信息

目的探索抑制TRAF6后对脓毒症小鼠心肌细胞自噬、炎症反应和心功能的改善作用。方法 (1)昆明雄性小鼠24只,随机分为4组,分别为假手术(sham)组、假手术+C25-140(sham+C)组、盲肠结扎穿刺术(CLP)组、盲肠结扎穿刺术+C25-140(CLP+C)组。sham+C组、CLP+C组术后腹腔注射C25-140。术后24 h超声评估LVEF、LVFS;ELISA测血清TNF-α、IL1-β;HE染色评估心肌炎症反应;透射电镜观察心肌细胞自噬小体、线粒体微结构;qPCR检测心肌组织TRAF6 mRNA;WB检测TRAF6、P62、Beclin-1、LC3B蛋白的表达;(2)予3-MA抑制自噬观察C25-140对脓毒症小鼠心肌损伤的影响。结果 (1)与sham组比,CLP组心肌组织TRAF6mRNA及TRAF6蛋白显著升高(P <0.05);血清TNF-α、IL1-β浓度显著升高(P <0.05);心肌组织HE染色见炎症细胞浸润;LVEF、LVFS显著降低(P <0.05);(2)与CLP组比,CLP+C组TRAF6 mRNA及TRAF6蛋白表达减少(P <0.05);血清TNF-α、IL1-β下降(P <0.05);心肌组织病理心肌炎症细胞浸润减少;LVEF、LVFS升高(P <0.05);电镜见线粒体肿胀减轻、自噬小体增多;Beclin-1、LC3Ⅱ/Ⅰ表达增加,P62表达减少(P <0.05);予3-MA抑制自噬后,与CLP+C组比,CLP+C+3-MA组小鼠心肌病理见炎症细胞浸润明显,LVEF、LVFS降低(P <0.05)。结论抑制TRAF6改善脓毒症小鼠心肌炎症损伤和心功能障碍;抑制TRAF6促进心肌细胞自噬参与保护脓毒症诱导的心肌损伤。

关键词：肿瘤坏死因子受体相关因子6 自噬脓毒症心肌炎症心功能

Dynamic Analogical Association Algorithm Based on Manifold Matching for Few-Shot Learning

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Computer Systems Science & Engineering 2023年第7期46卷 1233-1247页

作者： Yuncong Peng Xiaolin Qin Qianlei Wang Boyi Fu yongxiang gu Chengdu Institute of Computer Applications Chinese Academy of SciencesChengdu610041China University of Chinese Academy of Sciences Beijing100049China

At present,deep learning has been well applied in many ***,due to the high complexity of hypothesis space,numerous training samples are usually required to ensure the reliability of minimizing experience ***,training a classifier with a small number of training examples is a challenging *** a biological point of view,based on the assumption that rich prior knowledge and analogical association should enable human beings to quickly distinguish novel things from a few or even one example,we proposed a dynamic analogical association algorithm to make the model use only a few labeled samples for *** be specific,the algorithm search for knowledge structures similar to existing tasks in prior knowledge based on manifold matching,and combine sampling distributions to generate offsets instead of two sample points,thereby ensuring high confidence and significant contribution to the *** comparative results on two common benchmark datasets substantiate the superiority of the proposed method compared to existing data generation approaches for few-shot learning,and the effectiveness of the algorithm has been proved through ablation experiments.

关键词： Few-shot learning manifold matching analogical association data generation

Fast Sentiment Analysis Algorithm Based on Double Model Fusion

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Computer Systems Science & Engineering 2021年第1期36卷 175-188页

作者： Zhixing Lin Like Wang Xiaoli Cui yongxiang gu Sanming University Network CenterSanming365004 College of Mathematics and Informatics Fujian Normal UniversityFuzhou350007China Chengdu Institute of Computer Applications Chinese Academy of SciencesChengdu610041China University of Chinese Academy of Sciences Beijing100049China Sichuan Rainbow Consulting&Software Co. Ltd.Chengdu610041China

Nowadays,as the number of textual data is exponentially increasing,sentiment analysis has become one of the most significant tasks in natural language processing(NLP)with increasing *** Chinese sentiment analysis algorithms cannot make full use of the order information in context and are inefficient in sentiment *** this paper,we systematically reviewed the classic and representative works in sentiment analysis and proposed a simple but efficient *** of all,FastText was trained to get the basic classification model,which can generate pre-trained word vectors as a ***,Bidirectional Long Short-Term Memory Network(Bi-LSTM)utilizes the generated word vectors for training and then merges with FastText to make comprehensive sentiment *** combining FastText and Bi-LSTM,we have developed a new fast sentiment analysis,called FAST-BiLSTM,which consistently achieves a balance between performance and *** particular,experimental results based on the real datasets demonstrate that our algorithm can effectively judge sentiments of users’comments,and is superior to the traditional algorithm in time efficiency,accuracy,recall and F1 criteria.

关键词： Sentiment analysis model fusion Bi-LSTM FastText

3D-printed Mg-1Ca/polycaprolactone composite scaffolds with promoted bone regeneration

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Journal of Magnesium and Alloys 2024年第3期12卷 966-979页

作者： Xiao Zhao Siyi Wang Feilong Wang Yuan Zhu Ranli gu Fan Yang yongxiang Xu Dandan Xia Yunsong Liu Department of Prosthodontics Peking University School and Hospital of StomatologyBeijing 100081China National Center of Stomatology National Engineering Laboratory for Digital and Material Technology of StomatologyNational Clinical Research Center for Oral DiseasesBeijing Key Laboratory of Digital StomatologyResearch Center of Engineering and Technology for Computerized Dentistry Ministry of HealthNMPA Key Laboratory for Dental MaterialsBeijing 100081China Department of Dental Materials Peking University School and Hospital of StomatologyBeijing 100081China

In bone tissue engineering,polycaprolactone(PCL)is a promising material with good biocompatibility,but its poor degradation rate,mechanical strength,and osteogenic properties limit its *** this study,we developed an Mg-1Ca/polycaprolactone(Mg-1Ca/PCL)composite scaffolds to overcome these *** used a melt blending method to prepare Mg-1Ca/PCL composites with Mg-1Ca alloy powder mass ratios of 5,10,and 20 wt%.Porous scaffolds with controlled macro-and microstructure were printed using the fused deposition modeling *** explored the mechanical strength,biocompatibility,osteogenesis performance,and molecular mechanism of the Mg-1Ca/PCL *** 5 and 10 wt%Mg-1Ca/PCL composites were found to have good ***,they promoted the mechanical strength,proliferation,adhesion,and osteogenic differentiation of human bone marrow stem cells(hBMSCs)of pure *** vitro degradation experiments revealed that the composite material stably released Mg_(2)+ions for a long period;it formed an apatite layer on the surface of the scaffold that facilitated cell adhesion and *** tomography and histological analysis showed that both 5 and 10 wt%Mg-1Ca/PCL composite scaffolds promoted bone regeneration bone *** results indicated that the Wnt/β-catenin pathway was involved in the osteogenic ***,Mg-1Ca/PCL composite scaffolds are expected to be a promising bone regeneration material for clinical *** of significance:Bone tissue engineering scaffolds have promising applications in the regeneration of critical-sized bone ***,there remain many limitations in the materials and manufacturing methods used to fabricate *** study shows that the developed Ma-1Ca/PCL composites provides scaffolds with suitable degradation rates and enhanced boneformation ***,the fused deposition modeling method allows precise control of the macroscopic morphology and microsc

关键词： 3D printing Bone tissue engineering Magnesium Osteogenic Polycaprolactone Scaffold.

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基于多尺度特征融合的自然场景文本检测

计算机应用 2022年第S2期42卷 31-35页

作者：周冲浩顾勇翔彭程中国科学院成都计算机应用研究所成都610041 中国科学院大学北京100049

为改善自然场景文本检测任务中存在的分割边界粗糙和多尺度文本漏检等问题,提出了一种多尺度特征融合方法。首先,将密集连接型金字塔池化(DenseASPP)和卷积块注意力模块(CBAM)与渐进式尺度扩展网络(PSENet)进行紧密结合,前者作为尺度感... 详细信息

为改善自然场景文本检测任务中存在的分割边界粗糙和多尺度文本漏检等问题,提出了一种多尺度特征融合方法。首先,将密集连接型金字塔池化(DenseASPP)和卷积块注意力模块(CBAM)与渐进式尺度扩展网络(PSENet)进行紧密结合,前者作为尺度感知模块,可以提取丰富的多尺度信息,感知不同规模的文本;而后者作为注意力模块,能够突出多尺度信息中的关键特征,改善边界定位。然后,在骨干网络中添加空洞卷积扩大感受野。最后,在后处理阶段采用渐进式扩展算法优化文字行合成。在ICDAR2015和ICDAR2017-MLT数据集上的实验结果表明,综合评估指标F值相较于PSENet分别提升了2.47%和6.57%。可视化结果表明,该方法能够更好地分割文本边界,检测出PSENet漏检的文本。

关键词：文本检测空洞卷积注意力机制特征金字塔深度学习

基于几何适应与全局感知的遥感图像目标检测算法

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计算机应用 2023年第3期43卷 916-922页

作者：顾勇翔蓝鑫伏博毅秦小林中国科学院成都计算机应用研究所成都610041 中国科学院大学北京100049

针对遥感图像目标尺寸小、目标方向任意和背景复杂等问题,在YOLOv5算法的基础上,提出一种基于几何适应与全局感知的遥感图像目标检测算法。首先,将可变形卷积与自适应空间注意力模块通过密集连接交替串联堆叠,在充分利用不同层级的语义... 详细信息

针对遥感图像目标尺寸小、目标方向任意和背景复杂等问题,在YOLOv5算法的基础上,提出一种基于几何适应与全局感知的遥感图像目标检测算法。首先,将可变形卷积与自适应空间注意力模块通过密集连接交替串联堆叠,在充分利用不同层级的语义和位置信息基础上,构建一个能够建模局部几何特征的密集上下文感知模块(DenseCAM);其次,在骨干网络末端引入Transformer,以较低的开销增强模型的全局感知能力,实现目标与场景内容的关系建模。在UCAS-AOD和RSOD数据集上与YOLOv5s6算法相比,所提算法的平均精度均值(mAP)分别提高1.8与1.5个百分点。实验结果表明,所提算法能够有效提高遥感图像目标检测的精度。

关键词：遥感图像目标检测 Transformer 可变形卷积空间注意力 YOLOv5

Resonance Analysis in a High-Rise Building: Combined Translational and Rotational Measurements

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Journal of Earth Science 2024年第3期35卷 1069-1074页

作者： Linpeng Qin Yun Wang Chang Chen yongxiang Wei Chunqi Liao Yi Zhang Chao Wang Wentao Wan Quanyang Shao School of Geophysics and Information Technology China University of GeosciencesBeijing 100083China Fujian Earthquake Agency Fuzhou 350003China Institute of Geochemistry Chinese Academy of SciencesGuiyang 550081China

0 INTRODUCTION Resonance frequency is an important indicator for structure health monitoring,which can be exacerbated by various natural forces,such as rainfall,earthquakes,and hurricanes(Wu et al.,2021;Shan et al.,2020;Gentile et al.,2016;Moser and Moaveni,2011).Clinton et al.(2006)found that changes in environmental factors could significantly affect the resonance frequency of the Millikan Library;and that compared with temperature,humidity and strong wind have greater impacts on resonance ***,some studies have confirmed the effects of environmental factors through mathematical statistical analyses,including Xia et al.(2006),Yuen and Kuok(2010),and guéguen et al.(2017).Other studies(e.g.,Astorga et al.,2018)revealed a building’s self-healing ability,where the building’s resonance frequency drifts due to earthquake events,environmental factors,or random forced vibrations could gradually return to its original level,but the recovery time of frequency drift could be considerably different with respect to different environmental factors.

关键词： humidity rainfall earthquake

丹贝(Tempe)发酵过程中的成分变化及其功能性

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科技通报 2009年第1期25卷 61-65,82页

作者：兰菲顾永祥浙江大学食品科学与营养系杭州310029

丹贝(Tempe)是一种传统的印度尼西亚发酵豆制品,比未发酵豆制品具有更多的生物活性成分。这主要是由于丹贝在发酵过程中发生了一系列的生物化学变化,主要体现在游离氨基酸、游离脂肪酸、B族维生素及生育酚、可溶性矿物质含量的增加,活... 详细信息

丹贝(Tempe)是一种传统的印度尼西亚发酵豆制品,比未发酵豆制品具有更多的生物活性成分。这主要是由于丹贝在发酵过程中发生了一系列的生物化学变化,主要体现在游离氨基酸、游离脂肪酸、B族维生素及生育酚、可溶性矿物质含量的增加,活性异黄酮苷元、SOD的产生,抗营养因子和胀气因子的有效去除。文章对发酵过程中的成分变化进行了具体综述,并对Tempe的功能性及其产品开发进行了探讨。

关键词：丹贝发酵成分变化功能性