Article
Pharmacology & Pharmacy
Guoqiang Ren, Qiuyue Peng, Jeppe Emmersen, Vladimir Zachar, Trine Fink, Simone R. Porsborg
Summary: Adipose-derived Stem cells (ASCs) are about to be used in large-scale clinical trials for wound healing. It is important to develop potency assays for advanced therapy medicinal products (ATMPs) to ensure product consistency. Through analyzing ASC-based ATMPs from different donors, we found that certain regulatory genes associated with extracellular matrix and angiogenesis could be used as markers to select superior ASC donors for treating chronic wounds.
Review
Endocrinology & Metabolism
Silke De Vriendt, Celia Mesias Casares, Susana Rocha, Hugo Vankelecom
Summary: The uterus-lining endometrium is crucial for mammalian reproduction, but its mechanisms and diseases are not well understood due to its hidden location and lack of suitable research models. Recently, 3D organoid models have been developed to replicate the endometrium, including the reproduction of the menstrual cycle. However, there are limitations in the current use of organoids, such as lack of standardization and xenografting, which hinder clinical translation. Therefore, researchers are seeking better alternatives, such as fully defined matrices, to improve the growth of organoids and advance their application in basic research and clinical fields.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Pharmacology & Pharmacy
Jayavardhini Bhoopathy, Sankari Dharmalingam, Weslen Vedakumari Sathyaraj, Selvarajan Rajendran, Shibormi Rymbai, Rethinam Senthil, Raji Atchudan
Summary: In this research, sericin and human placenta-derived extracellular matrix were combined to create scaffolds for wound treatment. The SPEM scaffolds were characterized and found to have favorable morphology and biological properties. In vitro and in vivo experiments confirmed the biocompatibility and wound healing efficacy of the SPEM scaffolds.
Article
Biochemistry & Molecular Biology
Hehui Rong, Yating Dong, Junke Zhao, Xuefei Zhang, Shuxuan Li, Yingying Sun, Tianli Lu, Shihui Yu, Haiyan Hu
Summary: Inspired by fetal wound healing, a fetal milieumimicking hydrogel was developed for accelerating wound healing and hair follicle regeneration.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Biochemistry & Molecular Biology
Dalila Di Francesco, Fabio Bertani, Luca Fusaro, Nausicaa Clemente, Flavia Carton, Maria Talmon, Luigia Grazia Fresu, Francesca Boccafoschi
Summary: Recent advancements in regenerative medicine have enhanced the development of biomaterials as multi-functional dressings. In this study, a bovine pericardium decellularized extracellular matrix (dECM) hydrogel was characterized and evaluated for its potential in wound healing. The results showed that the dECM hydrogel has a complex composition, is biocompatible, and has the ability to stimulate angiogenesis, drive cell polarization, promote fibroblast migration, and facilitate wound closure, demonstrating its great potential for regenerative applications.
Article
Chemistry, Multidisciplinary
Yanling Song, Yuchan You, Xinyi Xu, Jingyi Lu, Xiajie Huang, Jucong Zhang, Luwen Zhu, Jiahao Hu, Xiaochuan Wu, Xiaoling Xu, Weiqiang Tan, Yongzhong Du
Summary: The ECM@exo treatment, which incorporates ADSC-exos into an ECM hydrogel, shows great potential in promoting wound healing by reducing inflammation, enhancing cell proliferation and migration, as well as promoting angiogenesis and collagen deposition.
Review
Cell & Tissue Engineering
Linda Vriend, Viktor Sinkunas, Cristina P. Camargo, Berend van der Lei, Martin C. Harmsen, Joris A. van Dongen
Summary: ECM hydrogels show promising therapeutic efficacy in enhancing dermal wound healing by reducing wound size and promoting angiogenesis, with no serious complications reported. However, further clinical studies are needed to draw firm conclusions on their efficacy and mechanisms of action.
TISSUE ENGINEERING PART B-REVIEWS
(2022)
Article
Biochemistry & Molecular Biology
Kathleen M. McAndrews, Toru Miyake, Ehsan A. Ehsanipour, Patience J. Kelly, Lisa M. Becker, Daniel J. McGrail, Hikaru Sugimoto, Valerie S. LeBleu, Yejing Ge, Raghu Kalluri
Summary: The genetic depletion of alpha SMA(+) myofibroblasts leads to various wound healing defects, highlighting their important role in the repair process. beta 1 integrin from alpha SMA(+) myofibroblasts, but not TGF beta RII, is essential for wound healing, facilitating contractility, reepithelization, and vascularization. This study provides evidence for the functions of myofibroblasts in beta 1 integrin-mediated wound repair with potential implications for treating chronic non-healing wounds.
Article
Engineering, Environmental
Yani Guo, Jun Huang, Yifen Fang, Hai Huang, Jun Wu
Summary: Angiogenesis plays a crucial role in skin wound healing, and various tissue engineering technologies have been developed to promote this process. This review provides an overview of the manufacturing technologies for one-dimensional, two-dimensional, and three-dimensional scaffolds, with representative technologies including electrospinning, layer-by-layer self-assembly, and 3D bioprinting. The review also discusses the application of these technologies in promoting angiogenesis for skin wound repair, analyzes their advantages and disadvantages, and highlights future opportunities and challenges.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Engineering, Biomedical
David C. Browe, Pedro J. Diaz-Payno, Fiona E. Freeman, Rossana Schipani, Ross Burdis, Daniel P. Ahern, Jessica M. Nulty, Selcan Guler, Lindsey D. Randall, Conor T. Buckley, Pieter A. J. Brama, Daniel J. Kelly
Summary: This study developed a bilayered scaffold for osteochondral defect repair that spatially directs stem cell differentiation and recapitulates the hierarchical structure of native articular cartilage. In vitro and in vivo experiments demonstrated the effectiveness of the scaffold in promoting tissue repair and aligning collagen fibers.
ACTA BIOMATERIALIA
(2022)
Article
Nanoscience & Nanotechnology
Yi Sun Choi, Eunseon Jeong, Jung Seung Lee, Su Kyeom Kim, Sung-Hyun Jo, Yun-Gon Kim, Hak-Joon Sung, Seung-Woo Cho, Yoonhee Jin
Summary: Lymph node extracellular matrix (LNEM) can mimic lymph node microenvironments and enhance immunomodulatory effects, promoting M2 macrophage polarization and secretion of anti-inflammatory cytokines. In a 3D LNEM environment, macrophage phagocytic function is improved, showing potential for drug testing and tissue healing applications. LNEM hydrogel implantation facilitates macrophage recruitment and polarization towards M2 phenotype for tissue healing, indicating the utility of 3D immune system-mimicking biomaterials in tissue modeling and regenerative medicine.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Biotechnology & Applied Microbiology
Xingtai Huang, Qirui Wang, Runyi Mao, Zeying Wang, Steve G. F. Shen, Juan Mou, Jiewen Dai
Summary: In this study, a versatile organic-inorganic composite scaffold was constructed by embedding two-dimensional vermiculite nanosheets in polycaprolactone electrospun fibers. This scaffold can enhance angiogenesis through activation of the HIF-1 alpha signaling pathway and promote diabetic wound healing.
JOURNAL OF NANOBIOTECHNOLOGY
(2022)
Article
Nanoscience & Nanotechnology
Jiao Huang, Lin Wang, Weidong Tian
Summary: The study showed that small extracellular vesicles derived from adipose tissue (sEV-AT) can promote soft tissue healing, reduce necrotic bones and empty osteocyte lacunae, increase the number of osteoclasts, collagen fibers, and blood vessels, and enhance angiogenesis in BRONJ-like lesions. These findings suggest that sEV-AT has potential for preventing BRONJ.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2021)
Article
Cell & Tissue Engineering
Eun Jung Oh, Prakash Gangadaran, Ramya Lakshmi Rajendran, Hyun Mi Kim, Ji Min Oh, Kang Young Choi, Ho Yun Chung, Byeong-Cheol Ahn
Summary: The study demonstrates the potential of fibroblast-derived EVs in promoting wound healing, suggesting they can be utilized for wound healing therapies.
Article
Biotechnology & Applied Microbiology
Haifeng Liu, Bing Wu, Xin Shi, Yanpeng Cao, Xin Zhao, Daqiang Liang, Qihuang Qin, Xinzhi Liang, Wei Lu, Daping Wang, Jun Liu
Summary: This study demonstrates the potential of aerobic exercise-induced circulating extracellular vesicles (EVs) as a cell-free therapy for activating angiogenesis and promoting diabetic wound healing. The results show that circulating EVs can enhance cell proliferation, migration, and tube formation, as well as improve wound healing in diabetic rats.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Haoqing Wang, Huiyu Mai, Yuhang Gong, Zhi-Hong Deng
Summary: Meta-learning aims to use previous task knowledge to facilitate learning novel tasks, and task augmentation can increase the diversity of training tasks to improve the generalization capability of meta-learning models.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Jinwen Wang, Xuan Xiao, Zhihong Deng, Mengyin Fu
Summary: Due to the complex and harsh launching and flying environment, gyros strapdown to projectile is prone to failure and cannot accurately sense projectile angular rate. This article establishes an online estimation model of projectile angular rate, which describes the mathematical relationship among the output information of magnetoresistive sensors, the angular rate of gyro output, and attitude matrix. In order to achieve real-time estimation of projectile angular rate, an improved sparrow search algorithm (ISSA) is proposed, which combines adaptive dynamic step strategy with dynamic compression search strategy, improving the traditional SSA. This method takes angular rate as the optimization object and uses the ISSA diagonal rate estimation model to solve and obtain high-precision estimation of angular rate. The simulation results verify the correctness and feasibility of the online estimation model of projectile angular rate using only magnetoresistive sensors, and the precision of angular rate estimation based on the ISSA is better than that of the traditional intelligent optimization algorithm.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shengwu Zhao, Xuan Xiao, Yu Wang, Zhihong Deng
Summary: In this article, an improved particle filter based on the gravity measurement feature (IPFBGMF) is proposed to address the issues caused by the initial position error of the inertial navigation system (INS), gravity measurement error, and gravity background map similarity in existing gravity matching algorithms. The IPFBGMF takes into account both the value and change characteristic of gravity measurements and proposes a novel position acquisition method based on the gravity measurement feature, which reduces the impact of the initial position error of INS. Additionally, a new concept of direction measurement using the heading angle of INS is introduced to optimize the weight of particles in the particle filter (PF), mitigating the influence of gravity measurement error and gravity background map similarity. Furthermore, the robustness of the improved PF with precise position is demonstrated. A navigation strategy is designed for the application of the proposed algorithms. Simulation results show that IPFBGMF achieves the highest positioning accuracy compared to traditional gravity matching algorithms.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shengwu Zhao, Xuan Xiao, Zhihong Deng, Lei Shi
Summary: The article proposes a gravity-matching algorithm based on a correlation filter to reduce the impact of gravity measurement error and initial position error on matching accuracy. The trajectory shape of the inertial navigation system is used as a constraint to improve matching accuracy. Experimental results demonstrate the effectiveness of the method in improving matching accuracy under initial position error and gravity measurement error.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Shaohua Wu, Chaofan Guo, Zhihong Deng, Jian Jiao, Ning Zhang, Qinyu Zhang
Summary: In this paper, the information freshness of short-packet communication in wireless networks is studied, and an adaptive multiple access technology with corresponding power allocation is proposed to optimize the Age of Information (AoI) performance. The advantages and feasibility of the proposed scheme are demonstrated through analysis and simulation experiments, providing valuable insights for practical system designs.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Bo Wang, Zixuan Ma, Liu Huang, Zhihong Deng, Mengyin Fu
Summary: This article introduces a filtered marine map-matching method based on the sliding window ICCP algorithm, which records contour line information and uses a multi-layer support vector classifier to improve matching accuracy for underwater vehicles.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Electrical & Electronic
Bo Wang, Tianjiao Li, Zhihong Deng, Mengyin Fu
Summary: Selection of gravity gradient matching area is crucial for underwater gravity gradient-aided navigation. Existing methods overlook the high-resolution characteristics of the gravity gradient, leading to inaccurate selection. Thus, a frequency domain matching area selection method based on the high-resolution characteristics of the gravity gradient is proposed. This method extracts the high-frequency information of the gravity gradient reference map using wavelet transform and establishes a gravity gradient wavelet transform model. The proposed method utilizes morphological image texture segmentation to extract densely textured areas as the matching areas. Simulation results demonstrate that this method achieves a matching rate higher than 90% by obtaining texture density, amplitude, and direction in the matching area. Compared to existing methods, the proposed method improves the accuracy of the matching areas and reduces the computational burden to less than 10% of the existing algorithm. Furthermore, the matching rate increases when the trajectory is more perpendicular to the texture inside the matching area.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Shaohua Wu, Zhihong Deng, Aimin Li, Jian Jiao, Ning Zhang, Qinyu Zhang
Summary: In this paper, the timeliness performance of a downlink wireless communication system with non-orthogonal multiple access (NOMA) is investigated. An adaptive transmission policy is proposed to achieve a tradeoff between timeliness and reliability in NOMA systems. The system adapts power allocation and determines whether to transmit old or new packets based on the Age of Information (AoI) status and ACK/NACK feedback signal. An optimal policy is obtained to minimize the average AoI by formulating the problem as a Markov Decision Process (MDP). Additionally, a near-optimal policy based on Lyapunov Drift function and a greedy policy to minimize the maximal expected AoI are proposed.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Zixuan Ma, Bo Wang, Liu Huang, Fang Cui, Zhihong Deng, Mengyin Fu
Summary: This study proposes a neural network-based matching method to improve the accuracy of navigation and positioning by extracting multidimensional gravity features. The method expands the sequence of gravity anomaly values into a two-dimensional feature map containing time-series features using the Gramian angular fields method and performs matching using an affine transformation and a Siamese convolutional neural network model. Simulation results and practical tests demonstrate that the proposed method achieves more precise location results compared to traditional matching algorithms.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Bo Wang, Tianjiao Li, Zhihong Deng, Mengyin Fu
Summary: A gravity gradient comprehensive image matching algorithm based on local gray-level co-occurrence matrix (GLCM) is proposed, which can make better use of multicomponent gravity gradient reference map information and improve matching accuracy. The algorithm has high accuracy and better robustness, and does not have strict requirements on the change of gravity gradient characteristics in the navigation area.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Chang Ma, Song Zhang, Gehui Shen, Zhihong Deng
Summary: In this work, the authors present FewShotAmazon, the first benchmark for the task of Constrained Text Generation under few-shot settings on multiple domains. They also propose the Switch-GPT model, which utilizes the language modeling capacity of GPT-2 to generate fluent and well-formulated sentences, while using a light attention module to decide on the constraints to attend to. Experiments show that the proposed model outperforms the baselines.
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Haoqing Wang, Xun Guo, Zhi-Hong Deng, Yan Lu
Summary: Contrastive learning has achieved success in self-supervised representation learning, but its minimal sufficient representation may not be enough for downstream tasks, leading to performance degradation. We propose a method of increasing mutual information as regularization, significantly improving the performance of several classic contrastive learning models.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Shibo Jie, Zhi-Hong Deng, Ziheng Li
Summary: We study the practical setting of continual learning, specifically fine-tuning on a pre-trained model continuously. We find that features of previous data, known as representational shift, change when training on new tasks. Additionally, we discover that the representational shift in intermediate layers also plays a crucial role in catastrophic forgetting due to its disruption of batch normalization. Based on this, we propose ConFiT, a fine-tuning method that incorporates cross-convolution batch normalization and hierarchical fine-tuning. Experimental results demonstrate that our method outperforms several state-of-the-art methods with lower storage overhead.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022
(2022)
Correction
Medicine, Research & Experimental
Fengqing Shang, Shiyu Liu, Leiguo Ming, Rong Tian, Fang Jin, Yin Ding, Yongjie Zhang, Hongmei Zhang, Zhihong Deng, Yan Jin
Article
Engineering, Aerospace
Shuhui LI, Zhihong Deng, Xiaoxue Feng, Ruxuan He, Feng Pan
Summary: This paper addresses the state estimation problem for systems with heavy-tailed and skew non-Gaussian noise by proposing a robust Bayesian filter and smoother based on a hierarchical Gaussian state space model. The proposed algorithms approximate the system state and unknown noise parameters. The probabilistic graphical form of the multivariate skew t distribution is utilized to transform the estimation problem.
CHINESE JOURNAL OF AERONAUTICS
(2022)
