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Constructing Epidermal Rete Ridges Using Composite Hydrogel to Enhance Multiple Signaling Pathways for the Maintenance of Epidermal Stem Cell Niche

SSRN

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SSRN 2023年

作者： Shen, Zhizhong Liu, Zixian Sun, Lei Li, Meng Han, Lu Wang, Jianming Wu, Xunwei Sang, Shengbo Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System the Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030031 China General Hospital of TISCO North Street Xinghualing District Taiyuan030809 China Engineering Laboratory for Biomaterials and Tissue Regeneration Ningbo Stomatology Hospital Savaid Stomatology School Hangzhou Medical College Ningbo China Department of Tissue Engineering and Regeneration School and Hospital of Stomatology Cheeloo College of Medicine Shandong University Shandong Key Laboratory of Oral Tissue Regeneration Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration Shandong Jinan China Cutaneous Biology Research Center Massachusetts General Hospital Harvard Medical School BostonMA United States

The undulating microstructure rete ridge (RR) located at the junction between the dermis and epidermis plays a crucial role in improving skin mechanical properties and maintaining skin homeostasis. However, the investigation of RR microstructures are usually neglected in current tissue engineering for skin regeneration. Here, to create an epidermal model with RR microstructures, keratinocytes were inoculated onto a patterned GelMA-PEGDA hydrogel constructed using molding technology. Furthermore, grafting acryloylated Arg-Gly-Asp (RGD) peptides on the hydrogel surface significantly improved cell adhesion, fusion, and development. RT-PCR, Western blot, and immunofluorescence staining confirmed that cells on RR microstructures exhibited higher gene and protein expression associated with epidermal stem cells. RNA sequencing analysis of cells on RR microstructure showed higher gene expression profiles related to stem cell maintenance, basement membrane formation, and epidermal development. Furthermore, RT-PCR analysis of epidermal models of various dimensions demonstrated that smaller microstructures were more conducive to epidermal stem cell marker gene expression, which is analogous to human skin. Overall, we have successfully developed a method for integrating RR microstructures into an epidermal model that mimics natural skin to maintain epidermal stem cell niche, providing a valuable reference for researching skin regeneration within the fields of tissue engineering and regenerative medicine. © 2023, The Authors. All rights reserved.

关键词： Microstructure

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Mechanical Analysis and Performance Optimization for the Lunar Rover’s Vane-Telescopic Walking Wheel

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engineering 2020年第8期6卷 936-943页

作者： Lu Yang Bowen Cai Ronghui Zhang Kening Li Zixian Zhang Jiehao Lei Baichao Chen Rongben Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China Guangdong Key Laboratory of Intelligent Transportation System School of Intelligent Systems EngineeringSun Yat-sen UniversityGuangzhou 510275China College of Transportation Jilin UniversityChangchun 130025China Department of Mechanical Science and Engineering Tokyo Institute of TechnologyTokyo 152-8550Japan Armour College of Engineering Illinois Institute of TechnologyChicagoIL 60616USA China Academy of Space Technology Beijing 100029China

It is well-known that optimizing the wheel system of lunar rovers is ***,this is a difficult task due to the complex terrain of the moon and limited resources onboard lunar *** this study,an experimental prototype was set up to analyze the existing mechanical design of a lunar rover and improve its ***,a new vane-telescopic walking wheel was proposed for the lunar rover with a positive and negative quadrangle suspension,considering the complex terrain of the ***,the performance was optimized under the limitations of preserving the slope passage and minimizing power *** was achieved via analysis of the wheel force during ***,the effectiveness of the proposed method was demonstrated by several simulation *** newly designed wheel can protrude on demand and reduce energy consumption;it can be used as a reference for lunar rover development engineering in China.

关键词： Intelligent vehicle Vane-telescopic walking wheel Performance optimization Vane spring Lunar rover

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Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network 23rd

Cerebrovascular Segmentation in MRA via Reverse Edge Attenti...

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23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020

作者： Zhang, Hao Xia, Likun Song, Ran Yang, Jianlong Hao, Huaying Liu, Jiang Zhao, Yitian College of Information Engineering Capital Normal University Beijing China Cixi Institute of Biomedical Engineering Ningbo Institute of Industrial Technology Chinese Academy of Sciences Ningbo China School of Control Science and Engineering Shandong University Jinan China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China International Science and Technology Cooperation Base of Electronic System Reliability and Mathematical Interdisciplinary Capital Normal University Beijing China Laboratory of Neural Computing and Intelligent Perception Capital Normal University Beijing China Beijing Advanced Innovation Center for Imaging Theory and Technology Capital Normal University Beijing China

ISBN: (纸本)9783030597245

Automated extraction of cerebrovascular is of great importance in understanding the mechanism, diagnosis, and treatment of many cerebrovascular pathologies. However, segmentation of cerebrovascular networks from magnetic resonance angiography (MRA) imagery continues to be challenging because of relatively poor contrast and inhomogeneous backgrounds, and the anatomical variations, complex geometry and topology of the networks themselves. In this paper, we present a novel cerebrovascular segmentation framework that consists of image enhancement and segmentation phases. We aim to remove redundant features, while retaining edge information in shallow features when combining these with deep features. We first employ a Retinex model, which is able to model noise explicitly to aid removal of imaging noise, as well as reducing redundancy within an image and emphasizing the vessel regions, thereby simplifying the subsequent segmentation problem. Subsequently, a reverse edge attention module is employed to discover edge information by paying particular attention to the regions that are not salient in high-level semantic features. The experimental results show that the proposed framework enables the reverse edge attention network to deliver a reliable cerebrovascular segmentation. © 2020, Springer Nature Switzerland AG.

关键词： Image enhancement

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Refining microstructure and improving mechanical-corrosion properties of high Zn containing single β-phase Mg-Li alloy via friction stir processing

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Materials Letters 2025年 397卷

作者： Yingxin Geng Mengran Zhou Yixing Zhu Tongzheng Xin Song Tang Zhuoran Zeng Gaoqiang Chen Ruizhi Wu Qingyu Shi State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment Department of Mechanical Engineering Tsinghua University Beijing 100084 China Key Laboratory for Advanced Materials Processing Technology Ministry of Education Beijing 100084 China Key Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province) School of Materials Science and Engineering Dalian University of Technology Dalian 116024 China Herbert Gleiter Institute of Nanoscience School of Materials Science and Engineering Nanjing University of Science and Technology Jiangsu 210094 China State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha 410082 China College of Materials Science and Engineering Hunan University Changsha 410082 China Key Laboratory of Superlight Materials & Surface Technology (Ministry of Education) Harbin Engineering University Harbin 150001 China

In this study, a β-phase Mg-14Li-22Zn alloy with high Zn content was fabricated via friction stir processing, demonstrating great potential for high-performance lightweight applications. The influence of tool rotation speed on microstructure evolution, mechanical properties, and corrosion behavior was investigated. Notably, significant improvements in compressive strength, work-hardening rate, and corrosion resistance were achieved, particularly at a tool rotation speed of 400 rpm, due to the uniform dispersion of MgZn 2 and MgLi 2 Zn phases within the fine-grained microstructure.

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Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction

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AIP Conference Proceedings 2024年第1期3124卷

作者： Kasma Diana Saharuddin Mohd Hatta Mohammed Ariff Irfan Bahiuddin Saiful Amri Mazlan Nurhazimah Nazmi Ubaidillah Ubaidillah Advanced Vehicle System (AVS) Research Group Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Department of Mechanical Engineering Vocational College Universitas Gadjah Mada Yogyakarta Indonesia Engineering Materials & Structures (eMast) ikohza Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Pattern Recognition and Robotics Automation iKohza Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Mechanical Engineering Department Faculty of Engineering Universitas Sebelas Maret JI. Ir. Sutami 36A Kentingan Surakarta 57126 Indonesia

Magnetorheological elastomers (MRE) have gained popularity due to their ability to control viscoelastic properties by varying the strength of the magnetic field. Due to the obvious nonlinear and complex behavior of MRE, machine learning approaches were used to predict the MRE viscoelastic properties, which are storage and loss modulus. In comparison to the traditional viscoelastic model, which is complex in mathematical derivation, machine learning method easily identifies trends and patterns by mapping the input-output relationship. It can also handle nonlinear problems by training on data. Support vector regression (SVR), Gaussian process regression (GPR), Backpropagation neural network (BP-ANN), and Extreme learning machine (ELM) were introduced and compared to simulate the field-dependent viscoelastic behavior of MRE with frequency and magnetic field strength as model input. As a result, the ELM model produced the highest accuracy, with more than 98 percent accuracy on model generalization capability. Therefore, this demonstrates that machine learning can replace traditional modelling approaches and serve as a basis for material and device development.

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The effective thermal conductivity of a screen-printed thermoelectric film of Bi 2 Te 3 and CsSnI 3

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International Journal of Heat and Mass Transfer 2025年 250卷

作者： Koji Miyazaki Anjum Mustafa Ajay Kumar Baranwal Shrikant Saini Kosuke Watanabe Asuka Miura Tomohide Yabuki Manabu Ishimaru Shoya Kawano Qing Wang Satoshi Iikubo Qing Shen Shuzi Hayase Department of Mechanical Engineering Kyushu University 744 Motooka Nishi-ku Fukuoka Fukuoka 819-0395 Japan Department of Mechanical and Control Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Electronics & Communication Engineering Madan Mohan Malaviya University of Technology Gorakhpur Uttar Pradesh 273010 India Department of Creative Engineering National Institute of Technology Kitakyushu College 5-20-1 Shii Kokuraminami-ku Kitakyushu Fukuoka 802-0985 Japan Department of Materials Science and Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Electronic Engineering Kyushu Institute of Technology 1-1 Sensui-cho Tobata-ku Kitakyushu Fukuoka 804-8550 Japan Department of Advanced Materials Science and Engineering Kyushu University 6-1 Kasuga-koen Kasuga Fukuoka 816-8580 Japan i-Powered Energy System Research Center (i-PERC) The University of Electro-Communications

In recent years, printed thermoelectric thin films have attracted attention due to their advantages in enabling large-area and flexible designs. We developed printable thermoelectric composites of bismuth telluride and halide perovskite, which were expected to exhibit superior thermoelectric properties compared to other printable materials, such as conductive organic materials. The measured dimensionless figure of merit was about 0.1 at room temperature due to its low thermal conductivity. We assessed the interfacial thermal resistance between bismuth telluride and halide perovskite using multilayered films to understand the measured low thermal conductivity. The calculated thermal conductivity using the measured interfacial thermal resistance was fairly consistent with the effective thermal conductivity observed. We also discussed the interfacial thermal resistance using a phonon transport model based on ab-initio calculations to confirm the validity of our measurements. Additionally, we found that the high interfacial thermal resistance was achieved due to the low group velocities of both materials in the composites. This mechanism can be applied not only to improve thermoelectric materials but also to address thermal issues in composites.

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Applications of Game Theory in Vehicular Networks: A Survey

arXiv

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arXiv 2021年

作者： Sun, Zemin Liu, Yanheng Wang, Jian Li, Guofa Anil, Carie Li, Keqiang Guo, Xinyu Sun, Geng Tian, Daxin Cao, Dongpu College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China School of Computer Science and Engineering VIT-AP Andhra Pradesh Amaravati522237 India College of Engineering Nanjing Agricultural University Nanjing210031 China State Key Laboratory of Automotive Safety and Energy Department of Automotive Engineering Tsinghua University Beijing100084 China Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control School of Transportation Science and Engineering Beihang University Beijing100191 China Waterloo Cognitive Autonomous Driving Lab University of Waterloo N2L 3G1 Canada

In the Internet of things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming vehicular networks (VNs) that provide efficient and safe traffic and ubiquitous access to various applications. However, as the number of nodes in an ITS increases, it is challenging to satisfy a varied and large number of service requests with different quality of service (QoS) and security requirements in highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources to achieve the objective for either an individual or a group. Game theory (GT), a theoretical framework designed for strategic interactions among rational decision makers sharing scarce resources, can be used to model and analyze individual or group behaviors of communicating entities in VNs. This paper primarily surveys the recent developments of GT in solving various challenges of VNs. This survey starts with an introduction to the background of VNs. A review of GT models studied in the VNs is then introduced, including the basic concepts, classifications, and applicable vehicular issues. After discussing the requirements of VNs and the motivation of using GT, a comprehensive literature review on GT applications in dealing with the challenges of current VNs is provided. Furthermore, recent contributions of GT to VNs that are integrated with diverse emerging 5G technologies are surveyed. Finally, the lessons learned are given, and several key research challenges and possible solutions of applying GT in VNs are outlined. Copyright © 2021, The Authors. All rights reserved.

关键词： Quality of service

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Personalized Gait Treatment Using Passive controllable Ankle Foot Orthosis

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IOP Conference Series: Materials Science and engineering 2021年第1期1096卷

作者： Mohd Azizi Abdul Rahman Dimas Adiputra Advanced Vehicle System Research Group Malaysia Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur 54100 Malaysia Electrical Engineering Department Institut Teknologi Telkom Surabaya Surabaya 60231 Indonesia

Ankle Foot Orthosis (AFO) is usually prescribed for gait treatment. Low cost, easy to fabricate, safe, long term usage, and personalized AFO is demanded to facilitate and accelerate the prescription process, which is iterative, individualized, and collaborative. Passive controllable AFO (PICAFO) was developed to fulfil the demand, consisting of several research works, such as the gait detection method, smart actuator design, and controller development. Two gait detection methods had been considered. Firstly, the system utilized the Electromyography (EMG) biosignal to detect the stance and swing phase. Secondly, hybrid Magnetorheological Elastomer (MRE) is used to detect four gait phases based on foot contact. The smart actuator, a small scale Magnetorheological (MR) brake, had been constructed, which generated 2.1 Nm maximum damping stiffness to partially support the ankle stiffness. The controller is essential because controlling the damping stiffness accordingly to the current gait ensures positive assistance. The latest version of the PICAFO controller utilized ankle velocity reference to control the MR brake stiffness, which can be estimated based on the user's walking speed and body mass index. The presented research works show that achieving personalized gait treatment using the PICAFO system is possible.

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Determination of weak squeezed vacuum state through photon statistics measurement

arXiv

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arXiv 2021年

作者： Zuo, Guanhua Zhang, Yuchi Li, Jing Zhu, Shiyao Guo, Yanqiang Zhang, Tiancai State Key Laboratory of Quantum Qptics and Quantum Optics Devices Collaborative Innovation Center of Extreme Optics Institute of Opto-Electronics Shanxi University Taiyuan030006 China College of Physics and Electronic Engineering Shanxi University Taiyuan030006 China Department of Physics Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030600 China

Weak squeezed vacuum light, especially resonant to the atomic transition, plays an important role in quantum storage and generation of various quantum sources. However, the general homodyne detection (HD) cannot determine weak squeezing due to the low signal to noise ratio and the limited resolution of the HD system. Here we provide an alternative method based on photon statistics measurement to determine the weak squeezing of the squeezed vacuum light generated from an optical parametric oscillator working far below the threshold. The approach is established the relationship between the squeezing parameter and the second-order degree of coherence. The theoretical analysis agrees well with the experiment results. The advantage of this method is that it provides a feasible and reliable experimental measure to determine the weak squeezing with high precision and the measurement is independent on the detection efficiency. This method can be used to measure other quantum features for various quantum states with extremely weak non-classicality. Copyright © 2021, The Authors. All rights reserved.

关键词： Optical parametric oscillators

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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