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Materials Today Bio 2025年 32卷

作者： Liang, Xiaoyu Zhang, Yang Wang, Changduo Li, Huiyang Li, Quan Ye, Yicong Tu, Chenchen Zhao, Xiliang Yang, Jing Zeng, Yong Center for Coronary Artery Disease Division of Cardiology Beijing Anzhen Hospital Capital Medical University Beijing100029 China State Key Laboratory of Advanced Medical Materials and Devices Institute of Biomedical Engineering Chinese Academy of Medical Science & Peking Union Medical College Tianjin300192 China Department of Heart Center Tianjin Third Central Hospital Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases Nankai University Affiliated Third Center Hospital Medical College Tianjin University Tianjin ECMO Treatment and Training Base Artificial Cell Engineering Technology Research Center Institute of Hepatobiliary Disease Tianjin300170 China

The microenvironment characterized by inflammation and oxidative stress plays a crucial role in the pathogenesis of myocardial ischemia-reperfusion (I/R) injury. The death receptor 5 fusion protein (sDR5-Fc) specifically targets and blocks the key protein-tumor necrosis factor related apoptosis inducing ligand (TRAIL), which is involved in cell apoptosis. This study focuses on the development of reactive oxygen species (ROS) intelligent responsive sDR5-Fc nanoparticles, aimed at improving the pathological microenvironment associated with oxidative stress and inflammatory damage, inhibiting myocardial cell apoptosis while worsening, and enhancing the bioavailability and selectivity of sDR5-Fc. The successful synthesis of 6S-PLGE-PO-PEG was verified through infrared nuclear magnetic resonance and other analytical experiments. The ROS intelligent responsive sDR5-Fc nanoparticles (DPP) were successfully constructed in vitro, exhibiting a particle size of approximately 200 nm, as well as a certain stability and H2O2 responsive release ability. DPP demonstrated good biocompatibility. The cell viability and apoptosis assays indicated that DPP significantly reduced myocardial cell damage caused by hypoxia reoxygenation and decreased cell apoptosis. In myocardial I/R rat model, the administration of DPP nanoparticle displayed superior therapeutic effects compared to the sDR5-Fc group, evidenced by the reduction in myocardial infarction area, improvement in fibrosis, decreased myocardial cell apoptosis, increased cell proliferation, enhanced angiogenesis, and inhibition of myocardial hypertrophy. The synergistic effect of ROS responsive sDR5-Fc nanoparticles in mitigating I/R injury is expected to provide a new interdisciplinary treatment approach. © 2025 The Authors

关键词： Magnetic nanoparticles

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Simultaneously static and dynamic layout designs of stiffening structures

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IOP Conference Series: Materials science and Engineering 2020年第1期892卷

作者： Zhijie Feng Kai Wu Xuan Liang Jianbin Du AVIC Aerospace Life-Support Industries LTD Aviation Key Laboratory of Science and Technology on Life-Support Technology Xiangyang 441000 P.R. China School of Aerospace Engineering Tsinghua University Beijing 100084 P.R. China

In the present paper, the topological design problem of lightweight stiffening structures are studied. Multiple design criteria like static compliance, dynamic compliance, eigenfrequency/eigenfrequency gaps and weight are considered simultaneously as sub-objectives in the optimization model. A bound formulation is developed and implemented to deal with the problem concerned, by which the difficulties of non-continuity of the multiple objective functions can be got over. Comparing with the empirical adjustment design or more elaborated parametric design, the topological design may introduce more degrees of design freedom, and thus is possible to produce more innovative conceptual design. The method of sequential convex programming is employed to find the solution of the optimization problem. Numerical examples show that, using the presented approach, the optimized layout of the stiffening structures with enhanced static and dynamic mechanical properties can be obtained.

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Performance comparation of two kinds of aircraft ram air outlet

Performance comparation of two kinds of aircraft ram air out...

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CSAA/IET International Conference on Aircraft Utility Systems (AUS 2020)

作者： L. Zhimao Z. Xinlong W. Boyu P. Houju X. Wenbing S. Hong Shanghai Aircraft Design and Research Institute Environment Control and Oxygen System Department Shanghai 201210 China Jiangsu University of Science and Technology College of energy and power Zhenjiang 212003 China MIIT Nanjing University of Aeronautics and Astronautics Key Laboratory of Aircraft Environment Control and Life Support Nanjing 210016 China

With the development of electronic equipment integration technology, the air demand for cooling in cabin and electronic system is increasing continuously. The ram air outlet plays an important role in the airflow system. In this paper, the three-dimensional modeling of the door-type ram air outlet and the grille-type ram air outlet is carried out. Then, the flow characteristics and resistance characteristics of ram air outlet are analyzed based on structured grid technology. The results show that the flow rate of the door panel ram air outlet is greater than that of the grille-type ram air outlet in the same size, the discharge rate of the door panel outlet is 0.3kg/s more than that of the grille-type outlet under the design condition, and the skin surface temperature at the back of the door panel outlet is 13.5K lower than that of the grille outlet. Therefore, the door-type ram air outlet has better emission characteristics and flow characteristics, which is more suitable for the aircraft in this research. This study provides a technical reference for the design of the civil aircraft.

关键词： aircraft control refrigerators refrigeration skin electric actuators design engineering metal foams heat exchangers cooling

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A patient-friendly sprayable rapid gelation powder (SRGP) with prolonged mucoadhesion for oral ulcer therapy

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Chemical Engineering Journal 2025年 518卷

作者： Jingyi Liu Songbai Zhang Jinteng Feng Zhe Feng Min Zhang Ang Li Feng Xu Haoyu Wang Dandan Pei Yuanbo Jia The Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology Xi'an Jiaotong University Xi'an 710049 China Bioinspired Engineering and Biomechanics Center (BEBC) Xi'an Jiaotong University Xi'an 710049 China State Key Laboratory of Military Stomatology and National Clinical Research Center for Oral Diseases and Shaanxi International Joint Research Center for Oral Diseases Department of General Dentistry and Emergency School of Stomatology Fourth Military Medical University No. 145 West Changle Road Xi'an 710032 China Department of Thoracic Surgery The First Affiliated Hospital of Xi'an Jiaotong University Xi'an China Department of Cardiovascular Surgery The First Affiliated Hospital of Xi'an Jiaotong University Xi'an Shaanxi Province China Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology Xi'an Jiaotong University Xi'an 710049 China Key Laboratory of Surgical Critical Care and Life Support Xi'an Jiaotong University Ministry of Education China Department of Hepatobiliary Surgery and Liver Transplantation The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an 710004 China.

Recurrent aphthous ulceration (RAU) is a common oral condition that significantly affects patients' quality of life worldwide. Mucosal dressings for wound healing and drug delivery are essential in RAU management. The dynamic and moist environment of the oral cavity poses major obstacles to localized drug delivery, particularly in terms of patient self-administration and dressing retention. In this study, we present a universal oral mucosal drug delivery system based on sprayable rapid gelation powder (SRGP) composed of multigroup-modified alginate, which can be evenly sprayed onto ulcers in different locations within the oral cavity using a low-cost, commercially available plastic spray bottle. Upon contact with the wound, SRGP absorbs saliva and forms an adhesive hydrogel barrier in 2 s, which can continuously release the drug for over 12 h, even in the presence of saliva and oral activities. When loaded with drugs such as lidocaine hydrochloride and dexamethasone sodium phosphate, experiments in rat and dog models demonstrated that drug loaded SRGP significantly reduced inflammation at the ulcer site and reduced wound healing time by 2–3 days compared to commercial dressings. Furthermore, the powder formulation of SRGP can be stored a long time for 24 months, highlighting its potential as a clinical hydrogel dressing for oral ulcers.

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Fabrication of three-dimensional islet models by geometry-controlled hanging drop method

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Acta Mechanica Sinica 2019年第2期35卷 329-337页

作者： Bin Gao Ce Jing Kelvin Ng Belinda Pingguan-Murphy Qingzhen Yang Department of Endocrinology and Metabolism The First Affiliated Hospital Air Force Military Medical University Xi’an 710032 China Outpatient Department of Lanzhou Military Region 940 Hospital Joint Logistics Support Force of the People's Liberation Army of China Lanzhou 730000 China Department of Biomedical Engineering Faculty of Engineering University of Malaya Kuala Lumpur 50603 Malaysia Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology Xi'an Jiaotong University Xi'an 710049 China Bioinspired Engineering and Biomechanics Center (BEBC) Xi’an Jiaotong University Xi’an 710049 China

Hanging-drop method has been widely used to fabricate three-dimensional (3D) in vitro tissue models due to its advantages such as being easy to perform, inexpensive, and permitting precise control of cell spheroid formation. The geometry of hanging drop may play a critical role on the formation of cell spheroids, which, however, has not been explored. In this study, we developed a modified hanging-drop platform that enables the production of cell spheroids in a high-throughput manner by controlling hanging drop geometry with defined spreading ring. The surface tension force is proportional to the spreading ring and gravitational force is determined by the droplet volume, and the geometry can be determined by the balance between surface tension and gravity.β-TC-6 cell spheroids with optimized diameters were fabricated as 3D in vitro islet models. The models show morphology similar to primary islets and have functionality that more closely resembles primary islets than two-dimensional cell culture. The developed platform holds great potential for engineering well-controlled in vitro tissue models for various applications such as physiological and pathological studies, drug screening, as well as transplantation for treatment purpose.

关键词： Hanging drop cell culture Mechanical microenvironment Drop geometry 3D islet spheroids

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Improving Session-to-session Transfer Performance of Emotion Recognition Using Adaptive support Vector Machine

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Journal of Physics: Conference Series 2020年第4期1601卷

作者： Kai Yang Guangcheng Bao Ying Zeng Li Tong Jun Shu Bin Yan Henan Key Laboratory of Imaging and Intelligent Processing PLA Strategic Support Force Information Engineering University. Henan Zhengzhou Key Laboratory for Neuro Information of Ministry of Education School of Life Science and Technology University of Electronic Science and Technology of China Sichuan Chengdu

The non-stationarity of electroencephalograph (EEG) signals has been a barrier in real-life application of EEG-based emotion recognition. The features extracted from emotional EEG vary from one session to another and a model trained on a temporally-limited EEG dataset may generalize poorly to data recorded at a different time for the same individual. In this study, the EEG features that stably characterize the differences between emotions are firstly explored. Then the classic progressive transductive support vector machine (PTSVM) is extended to three-classes classifications by a new region labelling rule, furthermore K-nearest neighbour algorithm and iterative process are utilized to improve the confidence of the predicted labels. Experimental results indicate that high gamma band local activation difference features and network features derived from prefrontal lobe, the temporal lobe on both sides, the left occipital-parietal lobe, the right occipital lobe and the posterior occipital lobe are temporally stable features for distinguishing different emotions (positive, neutral and negative). And the proposed session-to-session transfer model achieves an averaged classification accuracy 63.56% for three emotions classification on our dataset recorded from 23 subjects in three different days, which is 4% higher than the existing best adaptive classification model. Hence, the proposed classification model can effectively improve the performance of EEG-based session-to-session emotion recognition.

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Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends

MedComm

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MedComm 2025年第6期6卷

作者： Ruoyun Wang Fanxuan Chen Haoman Chen Chenxing Lin Jincen Shuai Yutong Wu Lixiang Ma Xiaoqu Hu Min Wu Jin Wang Qi Zhao Jianwei Shuai Jingye Pan Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health) Wenzhou Institute University of Chinese Academy of Sciences Wenzhou China Wenzhou Medical University Wenzhou China UCSC Baskin School of Engineering University of California Santa Cruz California USA Department of Anatomy Histology & Embryology School of Basic Medical Sciences Fudan University Shanghai China Department of Medicine Harvard Medical School and Brigham and Women's Hospital Boston Massachusetts USA Joint Research Centre on Medicine The Affiliated Xiangshan Hospital of Wenzhou Medical University Ningbo China Stony Brook University Stony Brook New York USA School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province Wenzhou China Department of Big Data in Health Science The First Affiliated Hospital of Wenzhou Medical University Wenzhou China Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization Wenzhou China

The high-resolution three-dimensional (3D) images generated with digital breast tomosynthesis (DBT) in the screening of breast cancer offer new possibilities for early disease diagnosis. Early detection is especially important as the incidence of breast cancer increases. However, DBT also presents challenges in terms of poorer results for dense breasts, increased false positive rates, slightly higher radiation doses, and increased reading times. Deep learning (DL) has been shown to effectively increase the processing efficiency and diagnostic accuracy of DBT images. This article reviews the application and outlook of DL in DBT-based breast cancer screening. First, the fundamentals and challenges of DBT technology are introduced. The applications of DL in DBT are then grouped into three categories: diagnostic classification of breast diseases, lesion segmentation and detection, and medical image generation. Additionally, the current public databases for mammography are summarized in detail. Finally, this paper analyzes the main challenges in the application of DL techniques in DBT, such as the lack of public datasets and model training issues, and proposes possible directions for future research, including large language models, multisource domain transfer, and data augmentation, to encourage innovative applications of DL in medical imaging.

关键词： early breast cancer screening digital breast tomosynthesis deep learning public database medical image analysis

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Co-Assembly Induced Solid-State Stacking Transformation in Amino Acid-Based Crystals with Enhanced Physical Properties

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Angewandte Chemie 2022年第17期134卷

作者： Prof. Wei Ji Hui Yuan Dr. Bin Xue Dr. Sarah Guerin Dr. Hui Li Dr. Lei Zhang Yanqing Liu Dr. Linda J. W. Shimon Prof. Mingsu Si Prof. Yi Cao Prof. Wei Wang Prof. Damien Thompson Prof. Kaiyong Cai Prof. Rusen Yang Prof. Ehud Gazit Key Laboratory of Biorheological Science and Technology Ministry of Education The National “111” Project for Biomechanics and Tissue Repair Engineering College of Bioengineering Chongqing University Chongqing 400044 P. R. China School of Molecular Cell Biology and Biotechnology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv 6997801 Israel School of Advanced Materials and Nanotechnology Xidian University Xi'an 710126 China National Laboratory of Solid State Microstructure Department of Physics Nanjing University Nanjing 210093 Jiangsu China Department of Physics Bernal Institute University of Limerick Limerick V94 T9PX Ireland Science and Technology on Combustion and Explosion Laboratory Xi'an Modern Chemistry Research Institute Xi'an 710065 China CAEP Software Center for High Performance Numerical Simulation Beijing 100088 China Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education Lanzhou University Lanzhou 730000 China Department of Chemical Research Support Weizmann Institute of Science Rehovot 7610001 Israel

The physical characteristics of supramolecular assemblies composed of small building blocks are dictated by molecular packing patterns in the solid-state. Yet, the structure–property correlation is still not fully understood. Herein, we report the unexpected cofacial to herringbone stacking transformation of a small aromatic bipyridine through co-assembly with acetylated glutamic acid. The unique solid-state structural transformation results in enhanced physical properties of the supramolecular organizations. The co-assembly methodology was further expanded to obtain diverse molecular packings by different bipyridine and acetylated amino acid derivatives. This study presents a feasible co-assembly approach to achieve the solid-state stacking transformation of supramolecular organization and opens up new opportunities to further explore the relationship between molecular arrangement and properties of supramolecular assemblies by crystal engineering.

关键词： Amino Acids Co-Assembly Stacking Modes Supramolecular Chemistry

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基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究

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science Bulletin 2023年第18期68卷 2106-2114,M0004页

作者： Zhuo-Yu An Ye-Jun Wu Yu Hou Heng Mei Wei-Xia Nong Wen-Qian Li Hu Zhou Ru Feng Jian-Ping Shen Jun Peng Hai Zhou Yi Liu Yong-Ping Song Lin-Hua Yang Mei-Yun Fang Jian-Yong Li Yun-Feng Cheng Peng Liu Ya-Jing Xu Zhao Wang Yi Luo Zhen Cai Hui Liu Jing-Wen Wang Juan Li Xi Zhang Zi-Min Sun Xiao-Yu Zhu Xin Wang Rong Fu Liang Huang Shao-Yuan Wang Tong-Hua Yang Li-Ping Su Liang-Ming Ma Xie-Qun Chen Dai-Hong Liu Hong-Xia Yao Jia Feng Hong-Yu Zhang Ming Jiang Ze-Ping Zhou Wen-Sheng Wang Xu-Liang Shen Yangjin Baima Yue-Ying Li Qian-Fei Wang Qiu-Sha Huang Hai-Xia Fu Xiao-Lu Zhu Yun He Qian Jiang Hao Jiang Jin Lu Xiang-Yu Zhao Ying-Jun Chang Tao Wu Yao-Zhu Pan Lin Qiu Da Gao A-Rong Jin Wei Li Su-Jun Gao Lei Zhang Ming Hou Xiao-Jun Huang Xiao-Hui Zhang on behalf of the National Cooperative ITP Working Group Peking University People’s Hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation Center of Hematology Peking UniversityBeijing 100044China Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation Beijing 100044China National Clinical Research Center for Hematologic Disease Beijing 100044China Department of Hematology Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250014China Institute of Hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China Department of Hematology First Affiliated HospitalSchool of MedicineShihezi UniversityShihezi 832002China Department of Hematology Qinghai Provincial People’s HospitalXining 810007China Henan Cancer Hospital Affiliated Cancer Hospital of Zhengzhou UniversityHenan Institute of HematologyZhengzhou 450008China Department of Hematology Beijing HospitalBeijing 100044China Department of Hematology Zhejiang Provincial Hospital of Traditional Chinese MedicineHangzhou 310006China Department of Hematology Senior Department of Hematologythe Fifth Medical Center of PLA General HospitalBeijing 100044China Department of Hematology the Second Hospital of Shanxi Medical UniversityTaiyuan 030001China Department of Hematology Affiliated Zhongshan Hospital of Dalian UniversityDalian 116001China Department of Hematology The First Affiliated Hospital with Nanjing Medical University(Jiangsu Province Hospital)Nanjing 210029China Department of Hematology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Hematology Xiangya HospitalCentral South UniversityChangsha 410008China Department of Hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100044China Institute of Hematology the First Affiliated HospitalZhejiang UniversityHangzhou 310058China Department of Hematology Beijing Tongren HospitalBeijing 100005China Department of Hematology The First Affiliated HospitalSun Yat-sen UniversityGuang

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者... 详细信息

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。

关键词： Critical bleeding Severe bleeding Immune thrombocytopenia Machine learning Prediction model

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Research on the Application of supportability Analysis technology in Ejection Seat

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Journal of Physics: Conference Series 2019年第1期1215卷

作者： Wensheng Wang Liying Jin Jing Liu Xi Sun Aviation Key Laboratory Science and Technology on Life-Support Technology HubeiXiangyang 441003 China Aerospace Life-Support Industries Ltd. HubeiXiangyang 441003 China School of Mechanical Engineering Xi'an Jiaotong University Shaanxi Xi'an 710049 China

Ejection seat is a complex system that can be both one-time-used and continuous-used, in which the supportability analysis technology plays an essential role. supportability analysis includes Reliability-Centered Maintenance Analysis (RCMA, for short), Corrective Maintenance Analysis, Level of Repair Analysis (LORA, for short), Operation and Maintenance Task Analysis (O&MTA, for short), support Equipment Requirement Analysis and Spare Parts Requirement Analysis (shortened as '6A'). Firstly, in this paper, the concept of '6A' technology and their relationship are introduced. The general '6A' working process of a certain type of ejection seat is then studied. In the end, the '6A' work is carried out on a certain type of ejection seat according to the analytical steps and requirements to '6A'.

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