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Current Immunotherapy Strategies for Rheumatoid Arthritis:The Immunoengineering and delivery Systems

research 2024年第3期6卷 169-189页

作者： Chenyu Zhang Peixiang Ma An Qin Liao Wang Kerong dai Yuanyuan Liu Jie Zhao Zuyan Lu School of Medicine Shanghai UniversityShanghaiChina Clinical and Translational Research Center for 3D Printing Technology Shanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Shanghai Key Laboratory of Orthopedic Implants Department of Orthopedic SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System ShanghaiChina.

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease accompanied by persistent multiarticular synovitis and cartilage degradation. The present clinical treatments are limited to disease-modifying anti-rheumatic drugs (dMARds) and aims to relieve pain and control the inflammation of RA. despite considerable advances in the research of RA, the employment of current clinical procedure is enormous, hindered by systemic side effect, frequent administration, tolerance from long-lasting administration, and high costs. Emerging immunoengineering-based strategies, such as multiple immune-active nanotechnologies via mechanism-based immunology approaches, have been developed to improve specific targeting and to reduce adverse reactions for RA treatments. Here, we review recent studies in immunoengineering for the treatment of RA. The prospect of future immunoengineering treatment for RA has also been discussed.

关键词： drugs Rheumatoid treatment

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Conditional diffusion guided by part-level latent for dental crown point cloud generation

Conditional diffusion guided by part-level latent for dental...

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2024 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2024

作者： Zhang, Ao Shen, Zhen Yang, Jian Fang, Qihang Xiong, Gang dong, Xisong State Key Laboratory of Multimodal Artificial Intelligence System Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing101408 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China

ISBN: (纸本)9781510680425

due to the scarcity of point cloud datasets in a specific domain, utilizing generative model approaches becomes essential for data augmentation. diffusion models have demonstrated impressive capabilities in data generation through a guided reverse process. In this work, we employ a reverse process of a Markov chain conditioned on shape latent to progressively generate dental crown point cloud from a noise distribution. We propose to map the global shape latent to a set of part-level implicit representations and introduce a cross-attention block to provide geometric structural information for point cloud generation. We conduct a series of experiments on a real dental crown dataset, and the experimental results show certain improvement compared to the baselines, demonstrating the efficacy of our approach. In experiments, we present the capability of our method to generate large-scale dental crown models through unsupervised learning, effectively enriching the existing dental crown dataset. © 2024 SPIE.

关键词： Markov chains

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The Influence of Orientation by SLM Additive Manufacturing Process on Surface Integrity 2nd

The Influence of Orientation by SLM Additive Manufacturing P...

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2nd International Conference on From Smart City to Smart Factory for a Sustainable Future, SCFF 2024

作者： Bechný, Vladimír Matuš, Miroslav Joch, Richard drbúl, Mário Czán, Andrej Cedzo, Miroslav Krišák, dominik Faculty of Mechanical Engineering University of Zilina Univerzitná 8215/1 Zilina01026 Slovakia Center of 3D Printing Protolab Department of Machining Assembly and Engineering Technology Faculty of Mechanical Engineering VSB-TU Ostrava 17. Listopadu 2172/15 Ostrava70800 Czech Republic

ISBN: (纸本)9783031656552

The research involves a detailed analysis of the surface integrity of printed samples generated and produced by additive manufacturing based on Selective Laser Melting technology. The technological principle involves melting a fine metal powder with a heat source that generates a focused laser beam. The fine metal powder is stored in a filling hopper, where it is selectively applied layer by layer into the main hopper. After one layer has been scanned, the laser stops working and the main tray drops by the height of one layer. The new powder is then added to this height, which is evenly applied and compacted to the required density. The entire process is reiterated until the components reach the desired height. This technology represents a favourable alternative to conventional technologies, as the components produced have similar properties to those of traditional technologies. It is an eco-friendly manufacturing method where unused metal powder is recyclable through a predefined process for the next printing cycle, making it nearly zero-waste. This research aims to analyze and contrast the impact of various orientations of printed parts within the workspace on the surface quality of produced samples. Five orientations were employed in the Selective Laser Melting fabrication process for experimental purposes. From the conducted measurements, it is evident that the orientation of parts within the workspace substantially affects the surface integrity of components manufactured through additive processes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Additive manufacturing production Roughness parameters Selective laser melting

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2d Spectral Transposed Convolutional Neural Network for S-Parameter Predictions 31

2D Spectral Transposed Convolutional Neural Network for S-Pa...

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IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)

作者： Guo, Yiliang Li, Xingchen Swaminathan, Madhavan 3D Systems Packaging Research Center (PRC) School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

In packaging problems, S-parameter predictions are necessary. Machine learning methods lead to dimensionality related challenges which we address here through spectral transposed convolutional neural network using 2d ... 详细信息

ISBN: (数字)9781665450751

ISBN: (纸本)9781665450751

关键词： microvia interconnection convolutional neural network up-sampling

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In-situ observation of asymmetrical deformation around inclusion in a heterogeneous additively manufactured 316L stainless steel

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Journal of Materials Science & technology 2021年第30期89卷 133-140页

作者： decheng Kong Chaofang dong Xiaoqing Ni Zhang Liang Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing100083China Department of Materials Science and Engineering Massachusetts Institute of TechnologyCambridgeMA02139USA Shanghai Engineering Research Center of 3D Printing Materials Shanghai Research Institute of MaterialsShanghai200437China

Oxide inclusions widely exist in additively manufactured components due to the native oxide layer on the powder surface,together with gas impurities during the printing *** in-situ tensile tests combined with electron backscatter diffraction(EBSd)and electron channeling contrast imaging(ECCI)techniques,we propose an asymmetrical cracking mechanism around the oxide inclusions in a selective laser melted 316L stainless *** heterogeneous sub-micro cellular structures lead to different twinning tendencies around the inclusions due to the size-related critical twinning stresses,and the deformation-induced nano-twin clusters can resist the cracking propagation,therefore resulting in the asymmetrical cracking behaviors around the inclusions.

关键词： Selective laser melting 316L stainless steel Oxide inclusion Asymmetrical crack Cellular structure

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An Actor-Critic Framework deep Reinforcement Learning Approach to High-speed Train Timetable Rescheduling Problem 4

An Actor-Critic Framework Deep Reinforcement Learning Approa...

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4th IEEE International Conference on digital Twins and Parallel Intelligence, dTPI 2024

作者： Tian, Zhilong Li, Runmei Xiong, Gang Zhu, Fenghua Beijing Jiaotong University School of Automation and Intelligence Beijing China Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Chinese Academy of Sciences Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Dongguan China Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China

ISBN: (纸本)9798350349252

High-speed trains are inevitably affected by emergencies in their daily operation, which may cause the trains to fail to run according to the original planned timetable. Therefore, how to adjust the timetable of subsequent trains in emergencies is crucial for railway operations. This paper introduces a deep reinforcement learning algorithm based on an actor-critic network, which minimizes the total delay time by defining the departure order as an action. Numerical experiments are performed on the timetable of Beijing-Shanghai high-speed railway line. © 2024 IEEE.

关键词： deep reinforcement learning

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Text Semantic Analysis and Intelligent Interaction in Parallel dispatching Systems for Technical Station 4

Text Semantic Analysis and Intelligent Interaction in Parall...

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4th IEEE International Conference on digital Twins and Parallel Intelligence, dTPI 2024

作者： Jiao, Yuantao Wang, Jian Li, Runmei Xiong, Gang Chen, Shichao Beijing Jiaotong University School of Automation and Intelligence Beijing China Institute of Automation Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China Cloud Computing Center Chinese Academy of Sciences Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Dongguan China Chinese Academy of Sciences State Key Laboratory for Multimodal Artificial Intelligence Systems Beijing China

ISBN: (纸本)9798350349252

Technical station dispatching system plays an important role in cargo operation, but due to the large number of dispatching systems and complex operation, dispatchers rely on manual experience to complete the task, and many scenarios cannot be applied in the real system. Therefore, this paper utilizes the data-driven form to establish a parallel dispatching system for technical stations, semantically analyzes text data rich in dispatcher experience, completes the Computational Experiments on the textual semantic data in the artificial dispatching system, and synchronizes the Parallel Execution of data interaction with the real dispatching system. © 2024 IEEE.

关键词： parallel intelligence railway dispatching system technical station

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Implementation of Advanced Techniques for Quality Assessment of Metal Parts Produced by SLM technology 2nd

Implementation of Advanced Techniques for Quality Assessment...

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2nd International Conference on From Smart City to Smart Factory for a Sustainable Future, SCFF 2024

作者： Matuš, Miroslav Bechný, Vladimír Šajgalík, Michal Markovič, Jaromír drbúl, Mário Cedzo, Miroslav Joch, Richard Krišák, dominik Faculty of Mechanical Engineering University of Zilina Univerzitná 8215/1 Žilina010 26 Slovakia Department of Machining Assembly and Engineering Technology Faculty of Mechanical Engineering Center of 3D Printing Protolab VSB-TU Ostrava 17. Listopadu 2172/15 Ostrava708 00 Czech Republic

ISBN: (纸本)9783031656552

Over time, additive manufacturing has found a place in almost every sector of industry. This is helped by the fact that it is possible to process an increasing amount of material, especially metals, plastics and composite materials. As with any technology, additive manufacturing includes many advantages and disadvantages, which we are continuously striving to optimize through research and development. In the study, deviations between scanned parts and basic CAd models were evaluated. The individual parts were produced by additive SLM technology, which is a metal-based additive manufacturing technique, and the technology uses the principle of powdered material processing, where deformations occur during the manufacturing process due to the influence of heat on the part. The aim of the present study is the design and implementation of optimization processes based on advanced quality assessment methods using simulations, by scanning models and then comparing the deviations against nominal values of the models. The study identifies individual undesirable phenomena that arise with each technology and seeks to minimize them. These are the deformations produced during the manufacturing process and the deviations from nominal values caused by this. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Additive manufacturing Optimization Simulation SLM

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Exit morphology and mechanical property of FdM printed PLA: influence of hot melt extrusion process

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Advances in Manufacturing 2023年第1期11卷 56-74页

作者： Yan-Hua Bian Gang Yu Xin Zhao Shao-Xia Li Xiu-Li He Chong-Xin Tian Zhi-Yong Li Institute of Mechanics Chinese Academy of SciencesBeijing100190People’s Republic of China School of Engineering Science University of Chinese Academy of SciencesBeijing100049People’s Republic of China Research Institute of 3D Printing Beijing City UniversityBeijing100083People’s Republic of China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049People’s Republic of China

In order to study the hot melt extrusion process in fused deposition modeling(FdM),this study mainly explores the effects of printing temperature,heated block length,feeding speed on the exit morphology and mechanical properties of FdM printed Polylactic acid(PLA)***-speed camera is used to capture the exit morphology of molten PLA just extruded to the *** to exit morphology,the outlet states of extruded molten material can be divided into four categories,namely,bubbled state,coherent state,expanding state,and unstable *** test results show that printing temperature,heated block length and printing speed have significant influence on tensile properties and fracture mode of FdM printed *** the heated block length is 15 mm and 30 mm,there is a ductile-brittle transition in fracture mode with the increase of printing *** printing process window under different heated block lengths and printing temperatures has been figured out and the distribution of printing process window under different printing speeds has been *** is a maximum printing process window under the heated block length of 30 *** finding provides a frame work for performance prediction of FdM printed parts and theoretical guidance for expanding the scope of printing process window.

关键词： Fused deposition modeling(FdM) Polylactic acid(PLA) Exit morphology Tensile property printing process window

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Additive Manufacturing technology Lends Wings to Orthopedic Clinical Treatment-The Innovative development of Medical Additive Manufacturing in Shanghai Ninth People’s Hospital

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Additive Manufacturing Frontiers 2024年第4期3卷 44-56页

作者： Wei Yang Shasha Liu Liang deng dinghao Luo Zhaoyang Ran Tinglong Chen Lei Wang Kai Xie Junxiang Wu Wenbo Jiang Ping Liu Jingke Fu Yongqiang Hao Kerong dai Shanghai Engineering Research Center of Innovative Orthopaedic Instruments and Personalized Medicine Clinical and Translational Research Center for 3D Printing TechnologyShanghai200011China The Base of Achievement Transformation Shidong Hospital Affiliated to University of Shanghai for Science and TechnologyShanghai200443China Shanghai Key Laboratory of Orthopaedic Implant Department of Orthopaedic SurgeryShanghai Ninth People’s Hospital Shanghai Jiao Tong University School of MedicineShanghai200011China

3d-printing technology,a leading example of advanced additive manufacturing,has revolutionized the treatment of clinical orthopedic diseases,ushering in a new era of personalized *** the 1980s,the orthopedic team led by *** dai at Shanghai Ninth People’s Hospital,affiliated with Shanghai Jiao Tong University School of Medicine,has effectively advanced the research,development,and implementation of customized artificial joints through medical *** work laid the foundation for the application of domestic 3d-printing in *** innovations-from fundamental research to clinical practice,from metal prosthesis implantation to customized bioactive bone product replacement,and from the traditional standardized diagnostic and treatment paradigm to the transformation of personalized medical models-underscore the pivotal role of 3d-printing *** has promoted personalized medicine,enhanced surgical precision,minimized the risk of infection,and accelerated bone *** Hao’s group has further expanded and deepened the application of three-dimensional printing technology in *** breakthroughs have been achieved in domestic bioactive metals,metal orthopedic implants,and 3d-printed biological *** protocols for personalized internal fixation and novel pelvic reconstruction prostheses are now internationally recognized in clinical *** study provides a comprehensive overview of the innovative research and applications of personalized and customized 3d-printed orthopedic implants.

关键词： Additive manufacturing 3d bioprinting Alloys Implants Personalization Clinical transformation

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