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An Effective Approach for the Preparation of High Performance Thermal Conductive Polymer Composites Containing Liquid Metal

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Chinese Journal of Polymer science 2024年第7期42卷 992-1001,I0010页

作者： xin Chen Xue-zhong Zhang Yi-Fei Yuan Chuan-Liang Chen Lian-Hu Xiong Qiang Fu hua Deng college of Polymer science and Engineering State Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu610065China Department of Materials science and Engineering Sichuan University-Pittsburgh InstituteSichuan UniversityChengdu610065China

The preparation of high-performance thermal conductive composites containing liquid metals(LM)has attracted significant ***,the stable dispersion of LM within polymer solution and effective property contribution of liquid metals remains significant challenges that need to be *** by the properties of the dendritic structure of the tree root system in grasping the soil,“shear-induced precipitation-interfacial reset-reprotonation”processing strategy is proposed to prepare nanocomposites based on aramid micron fibers(AMFs)with hierarchical dendritic *** to the combination of van der Waals force provided by hierarchical dendritic structure,electrostatic interaction between AMFs and LM,coordinative bonding of―NH to LM,together with interfacial re-setting and multi-step protonation,several features can be achieved through such strategy:conducive to the local filler network construction,improvement of interfacial interaction,improvement of the stability of filler dispersion in the solvent,and enhancement of mechanical and thermal properties of the *** resulting AMFsp H=4/LM films demonstrate a thermal conductivity of 10.98 W·m^(-1)·K^(-1)at 70%filler content,improvement of 126.8%compared to ANFs/LM film;while maintaining a strength of~85.88 MPa,improvement of 77%compared to AMFs/LM *** also possess insulation properties,enable heat dissipation for high power *** work provides an effective strategy for the preparation of high performance polymer composites containing liquid metal.

关键词： Shear-induced Reprotonation AMFs LM Filler dispersion

Multi-scale persistent spatiotemporal transformer for long-term urban traffic flow prediction

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Journal of Electronic science and Technology 2024年第1期22卷 53-69页

作者： Jia-Jun zhong Yong Ma xin-Zheng Niu Philippe Fournier-Viger Bing Wang Zu-kuan Wei School of computer science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China college of computer science&Software Engineering Shenzhen UniversityShenzhen518060China School of computer science Southwest Petroleum UniversityChengdu610500China

Long-term urban traffic flow prediction is an important task in the field of intelligent transportation,as it can help optimize traffic management and improve travel *** improve prediction accuracy,a crucial issue is how to model spatiotemporal dependency in urban traffic *** recent years,many studies have adopted spatiotemporal neural networks to extract key information from traffic ***,most models ignore the semantic spatial similarity between long-distance areas when mining spatial *** also ignore the impact of predicted time steps on the next unpredicted time step for making long-term ***,these models lack a comprehensive data embedding process to represent complex spatiotemporal *** paper proposes a multi-scale persistent spatiotemporal transformer(MSPSTT)model to perform accurate long-term traffic flow prediction in *** adopts an encoder-decoder structure and incorporates temporal,periodic,and spatial features to fully embed urban traffic data to address these *** model consists of a spatiotemporal encoder and a spatiotemporal decoder,which rely on temporal,geospatial,and semantic space multi-head attention modules to dynamically extract temporal,geospatial,and semantic *** spatiotemporal decoder combines the context information provided by the encoder,integrates the predicted time step information,and is iteratively updated to learn the correlation between different time steps in the broader time range to improve the model’s accuracy for long-term *** on four public transportation datasets demonstrate that MSPSTT outperforms the existing models by up to 9.5%on three common metrics.

关键词： Graph neural network Multi-head attention mechanism Spatio-temporal dependency Traffic flow prediction

Exosome-Transmitted miR-224-5p Promotes Colorectal Cancer Cell Proliferation via Targeting ULK2 in p53-Dependent Manner

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Biomedical and Environmental sciences 2024年第1期37卷 71-84页

作者： YANG Le Mei ZHENG Qi LIU Xiao Jia LI Xian Xian Veronica Lim CHEN Qi ZHAO zhong hua WANG Shu Yang Department of Pathology School of Basic MedicineFudan UniversityShanghai 200032China Department of Pathology Dunedin School of MedicineUniversity of OtagoDunedin 9054New Zealand Department of Pathology Huashan HospitalFudan UniversityShanghai 200040China Shanghai Cancer Institute Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Teladoc Health Inc Shanghai 200335China Shanghai Medical college Fudan UniversityShanghai 200032China Shanghai Key Laboratory of Medical Imaging Computing and computer Assisted Intervention Shanghai 200032China

Objective To investigate the role and molecular mechanism of exosomal miR-224-5p in colorectal cancer(CRC).Methods The miR-224-5p expression in CRC patient tissues and cell-derived exosomes was measured by laser capture microdissection and qRT-PCR,***-luciferase reporter gene assay was used to determine the target gene of *** protein expressions of p53 and unc-51 like kinase 2(ULK2)in CRC cells were detected by western *** cytometry was used to detect cell cycle and *** proliferation was measured by CCK8 and EdU *** The miR-224-5p expression was upregulated in CRC tissues and increased progressively with the rise of CRC *** cells secreted extracellular miR-224-5p mainly in an exosome-dependent manner,and then miR-224-5p could be transferred to surrounding tumor cells to regulate cell proliferation in the form of autocrine or ***,ULK2 was characterized as a direct target of miR-224-5p and was downregulated in CRC ***,ULK2 inhibited CRC cell proliferation in a p53-dependent ***,exosome-derived miR-224-5p partially reversed the proliferation regulation of ULK2 on CRC *** Our findings demonstrate that exosome-transmitted miR-224-5p promotes p53-dependent cell proliferation by targeting ULK2 in CRC,which may offer promising targets for CRC prevention and therapy.

关键词： miR-224-5p Exosome ULK2 p53 Cell proliferation Colorectal cancer

Naoxueshu Oral Liquid Accelerates Post-Craniotomy Hematoma Absorption in Patients:An Open-Label,Multicenter,and Randomized Controlled Trial

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Chinese Journal of Integrative Medicine 2024年第8期30卷 675-683页

作者： HE Qiu LIN Fu-xin SU Jin-ye ZHUO Ling-yun ZHU Qing SUN Xiao-chuan JIANG Rong-cai YAO Zhi-gang WANG Lei DANG Yan-wei LIU De-zhong LIU Yang FANG Wen-hua WANG Fang-yu LIN Yuan-xiang WANG An-xin WANG Deng-liang KANG De-zhi Department of Neurosurgery Neurosurgery Research InstituteThe First Affiliated Hospital of Fujian Medical UniversityFuzhou350004China Department of Neurosurgery Binhai Branch of National Regional Medical CenterThe First Affiliated HospitalFujian Medical UniversityFuzhou350209China Clinical Research and Translation Center The First Affiliated Hospital of Fujian Medical UniversityFuzhou350004China Fujian Clinical Research Center for Neurological Diseases The First Affiliated Hospital of Fujian Medical UniversityFuzhou350004China Fujian Provincial Institutes of Brain Disorders and Brain sciences The First Affiliated Hospital of Fujian Medical UniversityFuzhou350004China Department of Neurosurgery The Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu Province215000China Department of Neurosurgery The First Affiliated Hospital of Chongqing Medical UniversityChongqing400000China Department of Neurosurgery Tianjin Medical University General HospitalTianjin300000China Department of Neurosurgery The Third Hospital of ShijiazhuangShijiazhuang050000China Department of Neurosurgery The First College of Clinical Medical ScienceChina Three Gorges UniversityYichangHubei Province443000China Department of Neurosurgery Yichang Central People’s HospitalYichangHubei Province443000China Department of Neurosurgery Xiangyang No.1 People’s Hospital Affiliated to Hubei University of MedicineXiangfanHubei Province441100China Department of Neurosurgery Zhoukou Central HospitalZhoukouHenan Province466000China Department of Neurosurgery The Third Hospital of MianyangMianyangSichuan Province621000China Department of Neurology Beijing Tiantan HospitalCapital Medical UniversityBeijing100000China china National Clinical Research Center for Neurological Diseases Beijing Tiantan HospitalCapital Medical UniversityBeijing100000China Department of Clinical Epidemiology and Clinical Trial Capital Medical UniversityBeijing100000China Beijing Municipal Key Laboratory of Clinical

Objective: To investigate whether Naoxueshu Oral Liquid(NXS) could promote hematoma absorption in post-craniotomy hematoma(PCH) patients. Methods: This is an open-label, multicenter, and randomized controlled trial conducted at 9 hospitals in china. Patients aged 18–80 years with post-craniotomy supratentorial hematoma volume ranging from 10 to 30 mL or post-craniotomy infratentorial hematoma volume less than 10 mL, or intraventricular hemorrhage following cranial surgery were enrolled. They were randomly assigned at a 1:1 ratio to the NXS(10 m L thrice daily for 15 days) or control groups using a randomization code table. Standard medical care was administered in both groups. The primary outcome was the percentage reduction in hematoma volume from day 1 to day 15. The secondary outcomes included the percentage reduction in hematoma volume from day 1 to day 7, the absolute reduction in hematoma volume from day 1 to day 7 and 15, and the change in neurological function from day 1 to day 7 and 15. The safety was closely monitored throughout the study. Moreover, subgroup analysis was performed based on age, gender, history of diabetes, and etiology of intracerebral hemorrhage(ICH). Results: A total of 120 patients were enrolled and randomly assigned between March 30, 2018 and April 15, 2020. One patient was lost to follow-up in the control group. Finally, there were 119 patients(60 in the NXS group and 59 in the control group) included in the analysis. In the full analysis set(FAS) analysis, the NXS group had a greater percentage reduction in hematoma volume from day 1 to day 15 than the control group [median(Q1, Q3): 85%(71%, 97%) vs. 76%(53%, 93%), P0.05). Furthermore, no adverse events were reported during the study. In the FAS analysis, the NXS group exhibited a higher percentage reduction in hematoma volume on day 15 in the following subgroups:

关键词： post-craniotomy hematoma Naoxueshu Oral Liquid hematoma absorption randomized controlled trial Chinese medicine

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基于多示例学习图卷积网络的隐写者检测

自动化学报 2024年第4期50卷 771-789页

作者：钟圣华张智深圳大学计算机与软件学院深圳518060 香港理工大学电子计算学系中国香港999077

隐写者检测通过设计模型检测在批量图像中嵌入秘密信息进行隐蔽通信的隐写者,对解决非法使用隐写术的问题具有重要意义.本文提出一种基于多示例学习图卷积网络(Multiple-instance learning graph convolutional network,MILGCN)的隐写... 详细信息

隐写者检测通过设计模型检测在批量图像中嵌入秘密信息进行隐蔽通信的隐写者,对解决非法使用隐写术的问题具有重要意义.本文提出一种基于多示例学习图卷积网络(Multiple-instance learning graph convolutional network,MILGCN)的隐写者检测算法,将隐写者检测形式化为多示例学习(Multiple-instance learning, MIL)任务.本文中设计的共性增强图卷积网络(Graph convolutional network, GCN)和注意力图读出模块能够自适应地突出示例包中正示例的模式特征,构建有区分度的示例包表征并进行隐写者检测.实验表明,本文设计的模型能够对抗多种批量隐写术和与之对应的策略.

关键词：图像隐写者检测图卷积网络多示例学习示例包表征

GTF2H4 regulates partial EndMT via NF-κB activation through NCOA3 phosphorylation in ischemic diseases

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The Innovation 2024年第2期5卷 27-41页

作者： Zheyan Fang Gang Zhao Shuang Zhao Xueting Yu Runyang Feng You-en Zhang Haomin Li Lei huang Zhenyang Guo Zhentao Zhang Mukaddas Abdurahman Hangnan Hong Peng Li Bing Wu Jinhang Zhu xin zhong Dong huang Hao Lu xin Zhao Zhaoyang Chen Wenbin Zhang Junjie Guo Hongchao Zheng Yue He Shengying Qin Haojie Lu Yun Zhao Xiangdong Wang Junbo Ge hua Li Department of Cardiology Zhongshan HospitalFudan UniversityShanghai Institute of Cardiovascular DiseasesShanghai 200032China Department of Cardiology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Medical Examination Shanghai Xuhui District Central HospitalShanghai 200031China Department of Cardiology and Institute of Clinical Medicine Renmin HospitalHubei University of MedicineShiyan 442000China Clinical Data Center Children’s HospitalZhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhou 310052China Department of Molecular Celland Cancer BiologyUniversity of Massachusetts Chan Medical SchoolWorcesterMA 01605USA Bio-X Institute Key Laboratory for The Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong UniversityShanghai 200030China Department of Cardiology Heart Center of Fujian ProvinceFujian Medical University Union HospitalFuzhou 350001China Department of Cardiology Sir Run Run Shaw Hospitalaffiliated with Zhejiang University School of MedicineHangzhou 310020China Department of Cardiology The Affiliated Hospital of Qingdao UniversityQingdao 266003China Department of Cardiology Shanghai Xuhui District Central HospitalShanghai 200031China Department of Cardiology Shanghai Eighth People’s HospitalShanghai 200235China Department of Chemistry and Institutes of Biomedical sciences Fudan UniversityShanghai 200032China State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai 200031China School of Life science and Technology Shanghai Tech University100 Haike RoadShanghai 201210China Key Laboratory of Systems Health science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Department of Pulmonary and Critical Care Medicine Zhongshan Hospital

Partial endothelial-to-mesenchymal transition(EndMT)is an intermediate phenotype observed in endothelial cells(ECs)undergoing a transition toward a mesenchymal state to support neovascularization during(patho)physiological ***,we investigated the occurrence of partial EndMT in ECs under hypoxic/ischemic conditions and identified general transcription factor IIH subunit 4(GTF2H4)as a positive regulator of this *** addition,we discovered that GTF2H4 collaborates with its target protein excision repair cross-complementation group 3(ERCC3)to co-regulate partial ***,by using phosphorylation proteomics and site-directed mutagenesis,we demonstrated that GTF2H4 was involved in the phosphorylation of receptor coactivator 3(NCOA3)at serine 1330,which promoted the interaction between NCOA3 and p65,resulting in the transcriptional activation of NF-κB and the NF-kB/Snail signaling axis during partial *** vivo experiments confirmed that GTF2H4 significantly promoted partial EndMT and angiogenesis after ischemic ***,our findings reveal that targeting GTF2H4 is promising for tissue repair and offers potential opportunities for treating hypoxic/ischemic diseases.

关键词： ischemic activation GTF

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一个基于最小割集扩容的网络优化算法

计算机科学 2003年第8期30卷 37-39页

作者：刘玉华毛经中肖德宝华中师范大学计算机科学系华中师范大学数学系武汉430079

When designing the topology architecture of a large network,or managing and controlling a run network,the battleneck is always changeable with the increase of the network flow,which must be considered. In this paper ,af-ter analyzing the Ford_Fulkerson algorithm,we point out the relationship between the network min-cutset and thenetwork bottleneck,present an optimal capacity expansion algorithm based on min-cutest ,and take a network instanceto analyze and prove our algorithm in detail. This algorithm can improve the capacity of network effectively and solvethe bottleneck problem of the network.

关键词：网络优化算法计算机网络网络流理论最小割集理论

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基于时空交叉感知的实时动作检测方法

电子学报 2024年第2期52卷 574-588页

作者：柯逍缪欣郭文忠福州大学计算机与大数据学院福建福州350116 福建省网络计算与智能信息处理重点实验室(福州大学) 福建福州350116 空间数据挖掘与信息共享教育部重点实验室福建福州350003

时空动作检测依赖于视频空间信息与时间信息的学习.目前,最先进的基于卷积神经网络(Convolutionsl Neural Networks,CNN)的动作检测器采用2D CNN或3D CNN架构,取得了显著的效果.然而,由于网络结构的复杂性与时空信息感知的原因,这些方... 详细信息

时空动作检测依赖于视频空间信息与时间信息的学习.目前,最先进的基于卷积神经网络(Convolutionsl Neural Networks,CNN)的动作检测器采用2D CNN或3D CNN架构,取得了显著的效果.然而,由于网络结构的复杂性与时空信息感知的原因,这些方法通常采用非实时、离线的方式.时空动作检测主要的挑战在于设计高效的检测网络架构,并能有效地感知融合时空特征.考虑到上述问题,本文提出了一种基于时空交叉感知的实时动作检测方法.该方法首先通过对输入视频进行乱序重排来增强时序信息,针对仅使用2D或3D骨干网络无法有效对时空特征进行建模,提出了基于时空交叉感知的多分支特征提取网络.针对单一尺度时空特征描述性不足,提出一个多尺度注意力网络来学习长期的时间依赖和空间上下文信息.针对时序和空间两种不同来源特征的融合,提出了一种新的运动显著性增强融合策略,对时空信息进行编码交叉映射,引导时序特征和空间特征之间的融合,突出更具辨别力的时空特征表示.最后,基于帧级检测器结果在线计算动作关联性链接.本文提出的方法在两个时空动作数据集UCF101-24和JHMDB-21上分别达到了84.71%和78.4%的准确率,优于现有最先进的方法,并达到73帧/秒的速度.此外,针对JHMDB-21数据集存在高类间相似性与难样本数据易于混淆等问题,本文提出了基于动作表示的关键帧光流动作检测方法,避免了冗余光流的产生,进一步提升了动作检测准确率.

关键词：实时动作检测多尺度注意力时空交叉感知

面向深度行情因子挖掘的分布式训练关键技术研究

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计算机工程与科学 2024年第9期46卷 1554-1565页

作者：赵鑫博陆忠华中国刑事警察学院公安信息技术与情报学院辽宁沈阳110854 中国科学院计算机网络信息中心北京100083 中国科学院大学北京100049

深度行情数据是沪深交易所的新一代实时行情数据产品,是普通基础行情数据的升级版,是目前国内信息密度最高、蕴含信息量最大、挖掘最不充分的行情数据,对挖掘证券市场潜在风险具有重要价值。但是,现有研究缺少基于深度行情数据面向证券... 详细信息

深度行情数据是沪深交易所的新一代实时行情数据产品,是普通基础行情数据的升级版,是目前国内信息密度最高、蕴含信息量最大、挖掘最不充分的行情数据,对挖掘证券市场潜在风险具有重要价值。但是,现有研究缺少基于深度行情数据面向证券市场的风险度量和计算分析,且全市场深度行情数据规模大,用于提取信息的深度学习模型也越来越复杂,尽管当下硬件的计算能力也在一直不断地发展与提高,但仍然无法解决训练耗时长、效率低等问题。因此,基于沪深300成分股深度行情数据,利用深度学习等方法挖掘高频波动率因子,构建了基于TabNet与LightGBM的高频波动率预测模型。同时,提出了一种基于并行差分进化的分布式训练算法Parallel_DE,用于模型分布式训练过程中的参数计算,并详细阐述了其场景映射方案与整体流程设计。针对上述2项工作基于自有分布式训练平台进行充分验证,实验结果表明,高频波动率预测模型可以对已实现波动率进行高精度预测,且效果相较于其他方法具有一定优越性;Parallel_DE算法可以在一定程度保留参数多样性的同时,有效减少本地参数在测试集上的误差,从而高效率分布式地训练出性能优良的深度学习模型,为证券市场的风险识别提供了面向深度行情数据的相关技术与方法。

关键词：深度行情已实现波动率分布式训练差分进化

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