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Role of transforming growth factor-βin peripheral nerve regeneration

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Neural Regeneration Research 2024年第2期19卷 380-386页

作者： Zihan Ding Maorong jiang Jiaxi qian Dandan gu Huiyuan Bai Min Cai Dengbing Yao School of Life Sciences Key Laboratory of Neuroregeneration of Jiangsu and Ministry of EducationCo-innovation Center of NeuroregenerationNantong UniversityNantongJiangsu ProvinceChina Medical School of Nantong University NantongJiangsu ProvinceChina

Injuries caused by trauma and neurodegenerative diseases can damage the peripheral nervous system and cause functional *** in the central nervous system,damaged axons in peripheral nerves can be induced to regenerate in response to intrinsic cues after reprogramming or in a growth-promoting microenvironment created by Schwann ***,axon regeneration and repair do not automatically result in the restoration of function,which is the ultimate therapeutic goal but also a major clinical *** growth factor(TGF)is a multifunctional cytokine that regulates various biological processes including tissue repair,embryo development,and cell growth and *** is accumulating evidence that TGF-βfamily proteins participate in peripheral nerve repair through various factors and signaling pathways by regulating the growth and transformation of Schwann cells;recruiting specific immune cells;controlling the permeability of the blood-nerve barrier,thereby stimulating axon growth;and inhibiting remyelination of regenerated ***-βhas been applied to the treatment of peripheral nerve injury in animal *** this context,we review the functions of TGF-βin peripheral nerve regeneration and potential clinical applications.

关键词： myelination nerve repair and regeneration neurite neuroinflammation peripheral nerve injury Schwann cell transforming growth factor-β Wallerian degeneration

Multispectral point cloud superpoint segmentation

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Science China(Technological Sciences) 2024年第4期67卷 1270-1281页

作者： WANG QingWang WANG MingYe ZHANG ZiFeng SONG jian ZENG Kai SHEN Tao gu YanFeng Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China Yunnan Key Laboratory of Computer Technologies Application Kunming 650500China School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China

The multitude of airborne point clouds limits the point cloud processing *** are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve processing ***,existing superpoint segmentation methods focus only on local geometric structures,resulting in inconsistent spectral features of points within a *** feature inconsistencies degrade the performance of subsequent ***,this study proposes a novel Superpoint Segmentation method that jointly utilizes spatial Geometric and Spectral Information for multispectral point cloud superpoint segmentation(GSI-SS).Specifically,a similarity metric that combines spatial geometry and spectral information is proposed to facilitate the consistency of geometric structures and object attributes within segmented *** the formation of the primary superpoints,an intersuperpoint pointexchange mechanism that maximizes feature consistency within the final superpoints is *** are conducted on two real multispectral point cloud datasets,and the proposed method achieved higher recall,precision,F score,and lower global consistency and feature classification *** experimental results demonstrate the superiority of the proposed GSI-SS over several state-of-the-art methods.

关键词： multispectral point cloud superpoint segmentation over-segmentation spatial-spectral joint metric

Breaking the in-coupling efficiency limit in waveguide-based AR displays with polarization volume gratings

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Light(Science & Applications) 2024年第9期13卷 1919-1930页

作者： Yuqiang Ding Yuchen gu qian Yang Zhiyong Yang Yuge Huang Yishi Weng Yuning Zhang Shin-Tson Wu College of Optics and Photonics University of Central FloridaOrlandoFL 32816USA Joint International Research Laboratory of Information Display and Visualization Southeast UniversityNanjing 210096China Meta Reality Labs Research 9845 Willows Road NERedmondWA 98052USA

Augmented reality(AR)displays,heralded as the next-generation platform for spatial computing,metaverse,and digital twins,empower users to perceive digital images overlaid with real-world environment,fostering a deeper level of human-digital *** the rapid evolution of couplers,waveguide-based AR displays have streamlined the entire system,boasting a slim form factor and high optical ***,challenges persist in the waveguide combiner,including low optical efficiency and poor image uniformity,significantly hindering the long-term usage and user *** this paper,we first analyze the root causes of the low optical efficiency and poor uniformity in waveguide-based AR *** then discover and elucidate an anomalous polarization conversion phenomenon inherent to polarization volume gratings(PVGs)when the incident light direction does not satisfy the Bragg *** new property is effectively leveraged to circumvent the tradeoff between in-coupling efficiency and eyebox *** feasibility demonstration experiments,we measure the light leakage in multiple PVGs with varying thicknesses using a laser source and a liquid-crystal-on-silicon light *** experiment corroborates the polarization conversion phenomenon,and the results align with simulation *** explore the potential of such a polarization conversion phenomenon further,we design and simulate a waveguide display with a 50°field of *** achieving first-order polarization conversion in a PVG,the in-coupling efficiency and uniformity are improved by 2 times and 2.3 times,respectively,compared to conventional *** groundbreaking discovery holds immense potential for revolutionizing next-generation waveguide-based AR displays,promising a higher efficiency and superior image uniformity.

关键词： polarization waveguide coupling

A Novel Predictive Model for Edge Computing Resource Scheduling Based on Deep Neural Network

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 259-277页

作者： Ming Gao Weiwei Cai Yizhang jiang Wenjun Hu jian Yao Pengjiang qian School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi214122China The Center for Intelligent Systems and Applications Research School of Artificial Intelligence and Computer ScienceJiangnan UniversityWuxi214122China School of Information Engineering Huzhou UniversityHuzhou313000China

Currently,applications accessing remote computing resources through cloud data centers is the main mode of operation,but this mode of operation greatly increases communication latency and reduces overall quality of service(QoS)and quality of experience(QoE).Edge computing technology extends cloud service functionality to the edge of the mobile network,closer to the task execution end,and can effectivelymitigate the communication latency ***,the massive and heterogeneous nature of servers in edge computing systems brings new challenges to task scheduling and resource management,and the booming development of artificial neural networks provides us withmore powerfulmethods to alleviate this ***,in this paper,we proposed a time series forecasting model incorporating Conv1D,LSTM and GRU for edge computing device resource scheduling,trained and tested the forecasting model using a small self-built dataset,and achieved competitive experimental results.

关键词： Edge computing resource scheduling predictive models

基于时空关联特征的CNN-LSTM模型在基坑工程变形预测中的应用

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岩土工程学报 2021年第S2期43卷 108-111页

作者：洪宇超钱建固叶源新成龙同济大学地下建筑与工程系同济大学岩土及地下工程教育部重点实验室上海城投水务(集团)有限公司上海勘察设计研究院(集团)有限公司

为了更准确地预测基坑工程领域的复杂时间序列,提出一种以多个监测点的监测数据构成的多维时间序列作为输入的CNN-LSTM的组合神经网络模型。首先采用卷积神经网络(CNN)对输入的监测数据进行空间特征提取,输出多个由空间特征构成的时间序... 详细信息

为了更准确地预测基坑工程领域的复杂时间序列,提出一种以多个监测点的监测数据构成的多维时间序列作为输入的CNN-LSTM的组合神经网络模型。首先采用卷积神经网络(CNN)对输入的监测数据进行空间特征提取,输出多个由空间特征构成的时间序列,利用长短期记忆神经网络(LSTM)对空间特征序列进行学习,预测未来的特征值,最后通过全连接层整合空间特征,输出预测的监测值。在此基础上,基于上海云岭竖井超深基坑的现场地表沉降监测数据进行工程案例验证,结果表明考虑时空关联性的组合模型精度高于仅考虑时间关联性的单一LSTM模型。

关键词：基坑变形预测时间序列建模 CNN网络 LSTM网络

Anti-N-methyl-D-aspartate receptor type autoimmune encephalitis with severe pneumonia:a case report

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World Journal of Emergency Medicine 2024年第2期15卷 142-146页

作者： Yi gu Xiandong Liu Tiancao Dong qian Yang Xiaowei Bao Dongyang Zhao Lunxian Tang Department of Internal Emergency Medicine Shanghai East HospitalSchool of MedicineTongji UniversityShanghai 200120China School of Medicine Tongji UniversityShanghai 200120China

Autoimmune encephalitis(AE)is a type of encephalitis caused by autoimmune *** was included on a list of the first batch of 121 rare diseases published by the Chinese National Health Commission on 11^(th)May ***,patients with AE account for 10%-20% of encephalitis cases,with 54%-80% of those cases classified as the anti-N-methyl-D-aspartate receptor(NMDAR)type,which is the most common type.[1]In 2010,China reported the first case of a patient withanti-NMDARtype AE.

关键词： encephalitis autoimmune aspartate

高速移动荷载下弹性半空间饱和地基动应力响应

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工程力学 2016年第3期33卷 39-46页

作者：钱建固周仁义黄茂松同济大学地下建筑与工程系上海200092

对承受高速移动荷载的饱和多孔地基动应力响应开展了解析理论研究。引入势函数,进行Helmholtz代换,通过傅里叶变换得到了承受矩形分布的竖向与水平向移动荷载的三维饱和地基动应力的基本函解,数值积分求解逆变换,进而得到移动荷载下饱... 详细信息

对承受高速移动荷载的饱和多孔地基动应力响应开展了解析理论研究。引入势函数,进行Helmholtz代换,通过傅里叶变换得到了承受矩形分布的竖向与水平向移动荷载的三维饱和地基动应力的基本函解,数值积分求解逆变换,进而得到移动荷载下饱和地基动应力响应的理论解。基于饱和多孔介质的动应力理论解,分析了移动荷载速度及频率的动应力响应,进一步分析了水平及竖向移动荷载耦合作用下饱和地基的动应力。理论分析表明,荷载速度及其频率诱发地基动应力水平的放大效应,动应力水平随荷载移动速度增大呈现指数型放大效应,移动速度接近剪切波速时动应力水平达到峰值,而荷载速度与频率引发的动应力放大效应随地基深度增大而增强。考虑水平动载的耦合效应,地基的动剪应力和水平向正应力水平显著增大,而竖向动正应力变化不大。

关键词：岩土工程移动荷载动力响应饱和地基动应力比奥特

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等幅剪应变下砂土循环单剪行为的离散元模拟

岩土力学 2017年第1期38卷 263-271页

作者：由子沛钱建固黄茂松同济大学地下建筑与工程系上海200092 同济大学岩土及地下工程教育部重点实验室上海200092

循环动载下土体变形呈现的复杂各向异性,本质上依赖于土体微观组构特征的演化。为了揭示非比例循环动载下土体变形的微观机制,采用离散元方法模拟砂土的循环单剪行为。应用等幅剪应变的往复加载实现循环单剪应力路径,模拟得到了砂土的... 详细信息

循环动载下土体变形呈现的复杂各向异性,本质上依赖于土体微观组构特征的演化。为了揭示非比例循环动载下土体变形的微观机制,采用离散元方法模拟砂土的循环单剪行为。应用等幅剪应变的往复加载实现循环单剪应力路径,模拟得到了砂土的循环弱化、剪胀性、非共轴性及微观组构的演化规律。微观模拟表明,在循环剪切过程,土体表现为循环弱化行为,并最终趋于塑性安定状态。而试样组构主方向倾角和组构各向异性系数也会不断增大直至一个稳定值,同时主应变率、主应力轴和组构主方向旋转角度会存在一定的差异,即非共轴现象,随着单调剪切的进行,三者会逐渐趋于一致。土体的剪胀行为表现为循环压密性,而非共轴性呈现逐渐增强的演化规律。循环剪切过程中微观组构的主方向与应力主方向逐渐趋于一致,而微观组构各向异性呈现减弱的演化趋势。

关键词：离散元循环单剪主应力轴旋转组构

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粗粒土的非共轴性及其离散元数值模拟

水利学报 2010年第2期40卷 173-181页

作者：黄茂松孙海忠钱建固同济大学岩土及地下工程教育部重点实验室上海200092 同济大学地下建筑与工程系上海200092

以粗粒土为原材料的土石坝在蓄水期或者水位突降的情况下,粗粒土的主应力轴将产生旋转,从而出现土体单元主应力方向和主应变率方向的非共轴现象,而传统的弹塑性本构模型基本上是建立在大三轴试验结果的基础上,并不能考虑粗粒土的非共轴... 详细信息

以粗粒土为原材料的土石坝在蓄水期或者水位突降的情况下,粗粒土的主应力轴将产生旋转,从而出现土体单元主应力方向和主应变率方向的非共轴现象,而传统的弹塑性本构模型基本上是建立在大三轴试验结果的基础上,并不能考虑粗粒土的非共轴性。本文将传统的弹塑性本构模型三维化,引入三维非共轴塑性流动理论,建立了粗粒土的非共轴本构模型,该模型对粗粒土的单剪试验进行了数值模拟,预测了在单剪过程中主应力方向和主应变率方向的变化规律。最后,运用离散单元法(二维颗粒流程序PFC2D)对粗粒土的非共轴性进行验证并进行了细观分析。研究结果表明,本文模型的计算结果和试验结果较为一致,并能较好地描述粗粒土的非共轴现象。

关键词：粗粒土颗粒流单剪试验本构模型