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arXiv 2020年

作者： Zhao, Shengyu Sheng, Yilun Dong, Yue Chang, Eric I-Chao Xu, Yan Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Microsoft Research Beijing100080 China State Key Laboratory of Software Development Environment Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education Research Institute of Beihang University in Shenzhen Beijing Advanced Innovation Center for Biomedical Engineering Beihang University Beijing100191 China

Feature warping is a core technique in optical flow estimation;however, the ambiguity caused by occluded areas during warping is a major problem that remains unsolved. In this paper, we propose an asymmetric occlusion-aware feature matching module, which can learn a rough occlusion mask that filters useless (occluded) areas immediately after feature warping without any explicit supervision. The proposed module can be easily integrated into end-to-end network architectures and enjoys performance gains while introducing negligible computational cost. The learned occlusion mask can be further fed into a subsequent network cascade with dual feature pyramids with which we achieve state-of-the-art performance. At the time of submission, our method, called MaskFlownet, surpasses all published optical flow methods on the MPI Sintel, KITTI 2012 and 2015 benchmarks. Code is available at https://***/microsoft/MaskFlownet. Copyright © 2020, The Authors. All rights reserved.

关键词： Network architecture

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Deterministic and Stochastic Simulators for Non-Isotropic V2V-MIMO Wideband Channels

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China Communications 2018年第7期15卷 18-29页

作者： Yiran Li Xiang Cheng Nan Zhang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Wireless Algorithm Department Product Research and Development System ZTE Corporation

In this paper, we consider a novel two-dimensional(2D) geometry-based stochastic model(GBSM) for multiple-input multiple-output(MIMO) vehicle-to-vehicle(V2V) wideband fading channels. The proposed model employs the combination of a two-ring model and a multiple confocal ellipses model, where the signal is sum of the line-of-sight(Lo S) component, single-bounced(SB) rays, and double-bounced(DB) rays. Based on the reference model, we derive some expressions of channel statistical properties, including space-time correlation function(STCF), Doppler spectral power density(DPSD), envelope level crossing rate(LCR) and average fade duration(AFD). In addition, corresponding deterministic and stochastic simulation models are developed based on the reference model. Moreover, we compare the statistical properties of the reference model and the two simulation models in different scenarios and investigate the impact of different vehicular traffic densities(VTDs) on the channel statistical properties of the proposed model. Finally, the great agreement between simulation models and the reference model demonstrates not only the utility of simulation models, but also the correctness of theoretical derivations and simulations.

关键词： vehicle-to-vehicle wideband channels simulation model statistical properties

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A Model Based Heterogeneous Data Collaboration Method

A Model Based Heterogeneous Data Collaboration Method

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IEEE International Conference on Electronics and Communication Engineering (ICECE)

作者： Junjie Xue Junhua Zhou Guoqiang Shi Yanhong Jiang Bowen Wei Hongyan Quan Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Simulation Center Science and Technology on Space System Simulation Laboratory Beijing China School of Software Engineering East China Normal University Shanghai China School of Computer Science and Technology East China Normal University Shanghai China

ISBN: (数字)9781728192581

ISBN: (纸本)9781728192598

Model based heterogeneous data collaboration is important in the integrated design and manufacturing technology. In this work, we propose a systematic method of collaborative design method for heterogeneous data sources. In our method, we use the Open Model Based Engineering Environment (OpenMBEE) to study. In our work, we setup environment and construct the integrated multi-tools achieving consistency design, and then we successfully design and implement a reasonable scheme to parameterize the model in requirement analysis and store the extracted parameters in Model Management system (MMS) for transporting to the visualization tool for further simulation. We integrate the mathematical analysis tools of MATLAB, and successfully design the interface in the tool integration, and realize the model consistency in the problem of integrating multiple tools in the design based on model center. The effectiveness of the proposed integration strategies is verified by some practical instances. That is verified that our provided study can an effective design idea for complex production.

关键词： Analytical models Collaboration Production Tools Data models Mathematical model Matlab

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Blueprint for Diamond Magnetometry: Unraveling Quantum Dephasing of Nitrogen-Vacancy Center Ensembles in Diamond

arXiv

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arXiv 2024年

作者： Zhang, Jixing Cheung, Cheuk Kit Kübler, Michael Benke, Magnus Brossaud, Mathis Denisenko, Andrej Peng, Ruoming Anders, Jens Corcione, Emilio Sauer, Cristina Tarín Edmonds, Andrew M. Markham, Matthew Nakamura, Kazuo Sumiya, Hitoshi Onoda, Shinobu Isoya, Junichi Zhang, Chen Wrachtrup, Jörg 3rd Institute of Physics University of Stuttgart Allmandring 13 Stuttgart70569 Germany Université Paris-Saclay ENS Paris-Saclay DER de Physique Gif-sur-Yvette91190 France Institute of Smart Sensors University of Stuttgart Paffenwaldring 47 Stuttgart70569 Germany Institute for System Dynamics University of Stuttgart Waldburgstr. 17/19 Stuttgart70563 Germany Element Six Global Innovation Centre Fermi Avenue Harwell Oxford Didcot OxfordshireOX11 0QR United Kingdom Hydrogen & Carbon Management Technology Strategy Dept. Tokyo Gas Co. Ltd. Yokohama230-0045 Japan Advanced Materials Laboratory Sumitomo Electric Industries Ltd. Itami664-0016 Japan Quantum materials and applications research center National Institutes for Quantum Science and Technology Takasaki370-1292 Japan Faculty of Pure and Applied Sciences University of Tsukuba Tsukuba305-8573 Japan Beijing Quantum Technology Research and Development Center Cuiyunxi Rd. 1 Beijing100074 China Max Planck Institute for Solid State Research Stuttgart Germany

Diamonds with nitrogen-vacancy (NV) center ensembles are one of the most promising solid-state quantum platforms for various sensing applications. The combination of a long spin dephasing time (T2∗) and a high NV center concentration is crucial for pushing the sensitivity limits. In this work, we propose a systematic measurement approach to quantify the electron spin dephasing in NV center ensembles and analyze the contributions of various sources to the dephasing time, including NV-NV interactions, strain and electric field distributions, 13C nuclear spins, and P1 electron spins. Our method is validated using a series of high-performance diamond samples, providing a comprehensive understanding of dephasing mechanisms and revealing correlations between NV concentration and different dephasing sources. Based on these insights, we further evaluate and propose strategies to improve the achievable sensitivity limits for DC magnetic field measurements. © 2024, CC BY.

关键词： Magnetometry

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Modulation of stem cells from apical papilla using direct current electric fields: A pathway toward translational dentin regeneration

Translational Dental Research

引用

Translational Dental research 2025年第2期1卷

作者： Xiaolin Li Yu Gu Jingyi Li Yan Wang Qian Liu Lihong Qiu Alastair J. Sloan Fa-Ming Chen Xu Chen Bing Song Department of Endodontics School and Hospital of Stomatology Liaoning Provincial Key Laboratory of Oral Diseases China Medical University Shenyang 110002 China School of Biomedical Engineering Shenzhen University of Advanced Technology Shenzhen Guangdong 518107 China Morrello Clinic Neuro Rehabilitation and Neuro Physiotherapy Newport NP18 2LH UK Center for Translational Medicine Research and Development Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong 518055 China Department of Dermatology The First Hospital of China Medical University National Health Commission Key Laboratory of Immunodermatology Key Laboratory of Immunodermatology of Ministry of Education Shenyang 110001 China Melbourne Dental School Faculty of Medicine Dentistry and Health Sciences University of Melbourne Melbourne VIC 3035 Australia Department of Pediatric Dentistry School and Hospital of Stomatology Liaoning Provincial Key Laboratory of Oral Diseases China Medical University Shenyang 110002 China State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration National Clinical Research Center for Oral Diseases Shaanxi International Joint Research Center for Oral Diseases Department of Periodontology School of Stomatology The Fourth Military Medical University Xi'an 710032 China Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences and State Key Laboratory of Biomedical Imaging Science and System Shenzhen Guangdong 518055 China

Dentin is produced by odontoblasts, which originate from mesenchymal cells in the dental papilla. Although numerous studies have explored the molecular switches involved in the differentiation of stem cells from apical papilla (SCAP), little is known about the involvement of electric signals in this process. Recent advances indicate that injured dentin generates an electric current. Therefore, it is essential to evaluate whether the extracellular electrical environment surrounding SCAP in the damaged root can promote tissue repair and regeneration. This study aims to investigate the regulatory effects of direct current electric fields (DCEFs) on SCAP, with the potential to contribute to innovative strategies for tooth regeneration. These strategies include the construction of in vitro models for mechanistic studies, the design of piezoelectric hydrogels for pulp regeneration, the development of novel dental pharmaceuticals, and the development of new clinical treatment techniques.

关键词： Direct current electric fields Stem cells from apical papilla Migration Proliferation Cell differentiation Electric microenvironment

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The IBEX Imaging Knowledge-Base: A Community Resource Enabling Adoption and development of Immunofluoresence Imaging Methods

arXiv

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arXiv 2024年

作者： Yaniv, Ziv Anidi, Ifeanyichukwu U. Arakkal, Leanne Arroyo-Mejías, Armando J. Beuschel, Rebecca T. Börner, Katy Chu, Colin J. Clark, Beatrice Clatworthy, Menna R. Colautti, Jake Coscia, Fabian Croteau, Joshua Denha, Saven Dever, Rose Dutra, Walderez O. Fritzsche, Sonja Fullam, Spencer Gerner, Michael Y. Gola, Anita Gollob, Kenneth J. Hernandez, Jonathan M. Hor, Jyh Liang Ichise, Hiroshi Jing, Zhixin Jonigk, Danny Kandov, Evelyn Kastenmüller, Wolfgang Koenig, Joshua F.E. Kothurkar, Aanandita Kortekaas, Rosa K. Kreins, Alexandra Y. Lamborn, Ian T. Lin, Yuri Morais, Katia Luciano Pereira Lunich, Aleksandra Luz, Jean C.S. MacDonald, Ryan B. Makranz, Chen Maltez, Vivien I. McDonough, John E. Moriarty, Ryan V. Ocampo-Godinez, Juan M. Olyntho, Vitoria M. Oxenius, Annette Padhan, Kartika Remmert, Kirsten Richoz, Nathan Schrom, Edward C. Shang, Wanjing Shi, Lihong Shih, Rochelle M. Speranza, Emily Stierli, Salome Teichmann, Sarah A. Veres, Tibor Z. Vierhout, Megan Wachter, Brianna T. Williams, Margaret Zangger, Nathan Germain, Ronald N. Radtke, Andrea J. Bioinformatics and Computational Bioscience Branch National Institute of Allergy and Infectious Diseases National Institutes of Health BethesdaMD United States Critical Care Medicine and Pulmonary Branch National Heart Lung and Blood Institute National Institutes of Health BethesdaMD United States Lymphocyte Biology Section Laboratory of Immune System Biology NIAID NIH BethesdaMD United States Department of Intelligent Systems Engineering Indiana University BloomingtonIN United States UCL Institute of Ophthalmology NIHR Moorfields Biomedical Research Centre London United Kingdom Cambridge Institute for Therapeutic Immunology and Infectious Diseases University of Cambridge Department of Medicine Molecular Immunity Unit Laboratory of Molecular Biology Cambridge United Kingdom McMaster Immunology Research Centre Schroeder Allergy and Immunology Research Institute Department of Medicine Faculty of Health Sciences McMaster University HamiltonON Canada Spatial Proteomics Group Berlin Germany Department of Business Development BioLegend Inc. San DiegoCA United States Functional Immunogenomics Unit National Institute of Arthritis and Musculoskeletal and Skin Diseases National Institutes of Health BethesdaMD United States Laboratory of Cell-Cell Interactions Department of Morphology Institute of Biological Sciences Universidade Federal de Minas Gerais MG Belo Horizonte Brazil Division of Rheumatology Rush University Medical Center ChicagoIL United States Department of Immunology University of Washington School of Medicine SeattleWA United States Robin Chemers Neustein Laboratory of Mammalian Cell Biology and Development The Rockefeller University New YorkNY United States Hospital Israelita Albert Einstein SP Sao Paulo Brazil Surgical Oncology Program National Cancer Institute National Institutes of Health BethesdaMD United States Institute of Pathology Aachen Medical University RWTH Aachen Aachen Germany Hannover Germany Würzburg Institute

The iterative bleaching extends multiplexity (IBEX) Knowledge-Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge-Base is modeled after efforts in the open-source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge-Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non-recommended reagents, e.g., primary and secondary antibodies. In addition to reporting negative data, the Knowledge-Base empowers method adoption and evolution by providing a venue for sharing protocols, videos, datasets, software, and publications. A dedicated discussion forum fosters a sense of community among researchers while addressing questions not covered in published manuscripts. Together, scientists from around the world are advancing scientific discovery at a faster pace, reducing wasted time and effort, and instilling greater confidence in the resulting data. © 2024, CC BY.

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Process capability study of flow formed shell diameter

Process capability study of flow formed shell diameter

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2016 International Conference on Advances in Materials and Manufacturing, ICAMM 2016

作者： Podder, Bikramjit De, Taraknath Saikumar, S. Kumar, K.Ramesh Defence Research and Development Laboratory DRDL Kanchanbagh Hyderbad500058 India Advanced System Laboratory ASL Kanchanbagh Hyderbad500058 India

Flow forming is an advanced cold forming process to produce net shape, precision thin walled shells. The process is capable of realising cylindrical components with uniform wall thickness throughout the length maintaining stringent dimensional as well as form tolerances. Process capability study has been adopted to determine the ability of the existing flow forming process to satisfy user requirement as far as the internal and external diameter of flow formed shell is concerned. Flow forming of Maraging Steel (Grade-250) shells has been carried out and the diameters of the shells have been measured at different stations. Process capability indices have been computed based on the measured diameter readings of flow formed shell without considering measurement inaccuracies. Such process capability study is beneficial to improve quality of flow formed tube by identifying root cause of variation and eliminating causes behind such variations during subsequent production process of flow formed shell. The present study reports the spread of the measured diameter values in the form of histogram and ability of the existing flow forming process to meet user requirement in the form of process capability indices such as Cp&Cpk. The study further shows that the process is adequately capable to satisfy consistently the user requirement for both internal as well as external diameter. However, from the measured data it is clearly evident that further suitable measures may be taken up to minimise the spread of the output variable i.e diameter readings, thus improving the process capability further. © 2018 Elsevier Ltd.

关键词： Maraging steel

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Novel hole transport layer of nickel oxide composite with carbon for high-performance perovskite solar cells

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Chinese Physics B 2018年第1期27卷 80-86页

作者： Sajid A M Elseman 纪军窦尚轶黄浩崔鹏卫东李美成 State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Renewable EnergyNorth China Electric Power University Electronic & Magnetic Materials Department Advanced Materials Division Central Metallurgical Research and Development Institute (CMRDI)

A depth behavioral understanding for each layer in perovskite solar cells （PSCs） and their inter[acial interactions as a whole has been emerged for further enhancement in power conversion efficiency （PCE）. Herein, NiO@Carbon was not only simulated as a hole transport layer but also as a counter electrode at the same time in the planar heterojunction based PSCs with the program wxAMPS （analysis of microelectronic and photonic structures）-lD. Simulation results revealed a high dependence of PCE on the effect of band offset between hole transport material （HTM） and perovskite layers. Meanwhile, the valence band offset （AEv） of NiO-HTM was optimized to be -0.1 to -0.3 eV lower than that of the perovskite layer. Additionally, a barrier cliff was identified to significantly influence the hole extraction at the HTM/absorber interface. Conversely, the AEv between the active material and NiO@Carbon-HTM was derived to be -0.15 to 0.15 eV with an enhanced efficiency from 15% to 16%.

关键词： hole transporting materials counter electrode perovskite solar cells simulation

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Preparation and application of subdivided tablets using 3D printing for precise hospital dispensing

Preparation and application of subdivided tablets using 3D p...

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2021第26届广东省药师周大会

作者： Zijie Zheng Jieqiong Lv Wei Yang Xueying Pi Wei Lin Zhanyi Lin Wenfang Zhang Jiali Pang Yingtong Zeng Zhufen Lv Haiyan Lao Yanzhong Chen Fan Yang The Center for Drug RESEARCH AND Development GUANGDONG PHARMACEUTICAL University GUANGDONG PROVINCIAL People's HOSPITAL GUANGDONG PROVINCIAL Engineering Center of TOPICAL Precise Drug Delivery System DEPARTMENT of PHARMACEUTICS GUANGDONG PHARMACEUTICAL University GUANGDONG PROVINCIAL Key LABORATORY of ADVANCED Drug Delivery Systems GUANGDONG PHARMACEUTICAL University

This study aimed to use three-dimensional printing technology to provide patients with accurate, safe and convenient subdivided drugs and bring the transformation of subdivided drugs' fabrication in the hospital. The formulation, preparation process, model and printing parameters, relationship between dose and preset model for printing of spironolactone of 2 mg, 4 mg and hydrochlorothiazide of 5 mg subdivided tablets prepared by three-dimensional printers were investigated in the study. The three-dimensional printed material consists of commercial tablets powders and other excipients, including lactose, corn starch, microcrystalline cellulose, and so on. Mass variation, drug content and drug content uniformity of subdivided tablets obtained by three-dimensional printing were compared with the pharmacists splitting subdivided tablets. Besides, the results from fourier transform infrared spectroscopy, differential scanning calorimetry and X-ray powder diffraction confirmed that the preparation process of spironolactone of 2 mg, 4 mg and hydrochlorothiazide of 5 mg did not change the crystal structure of the active pharmaceutical ingredient. Furthermore, mass variation, drug content range and drug content uniformity of spironolactone of 2 mg, 4 mg and hydrochlorothiazide of 5 mg tablets split by pharmacists failed to comply with European Pharmacopoeia and Chinese Pharmacopoeia, while those of the three-dimensional printed subdivided tablets did. After the review of the ethics committee as a new technology for hospital dispensing, three-dimensional printed spironolactone subdivided tablets of 2 mg have been used in clinical inpatients and was accepted by pharmacists, nurses and patients. Compared with tablets subdivided split by pharmacists, three-dimensional printed spironolactone tablets of 2 mg were more accurate, safer and more customized, which indicated considerable potential in using three-dimensional printing technology as a new method for hospital dispensing.

关键词： Extrusion-based Three-dimensional printing technology Tablets subdivision Precise dose Hospital dispensing,clinical application

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DPA-2: a large atomic model as a multi-task learner

arXiv

引用

arXiv 2023年

作者： Zhang, Duo Liu, Xinzijian Zhang, Xiangyu Zhang, Chengqian Cai, Chun Bi, Hangrui Du, Yiming Qin, Xuejian Peng, Anyang Huang, Jiameng Li, Bowen Shan, Yifan Zeng, Jinzhe Zhang, Yuzhi Liu, Siyuan Li, Yifan Chang, Junhan Wang, Xinyan Zhou, Shuo Liu, Jianchuan Luo, Xiaoshan Wang, Zhenyu Jiang, Wanrun Wu, Jing Yang, Yudi Yang, Jiyuan Yang, Manyi Gong, Fu-Qiang Zhang, Linshuang Shi, Mengchao Dai, Fu-Zhi York, Darrin M. Liu, Shi Zhu, Tong Zhong, Zhicheng Lv, Jian Cheng, Jun Jia, Weile Chen, Mohan Ke, Guolin Weinan, E. Zhang, Linfeng Wang, Han AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of Sciences Ningbo315201 China School of Electronics Engineering and Computer Science Peking University Beijing100871 China Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development School of Chemistry and Molecular Engineering East China Normal University Shanghai200062 China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States Department of Chemistry Princeton University PrincetonNJ08540 United States College of Chemistry and Molecular Engineering Peking University Beijing100871 China Yuanpei College Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun130012 China Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics Jilin University Changchun130012 China International Center of Future Science Jilin University Changchun130012 China Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Zhejiang Hangzhou310030 China Atomistic Simulations Italia

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of ab initio electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications. We propose a shift towards a model-centric ecosystem, wherein a large atomic model (LAM), pre-trained across multiple disciplines, can be efficiently fine-tuned and distilled for various downstream tasks, thereby establishing a new framework for molecular modeling. In this study, we introduce the DPA-2 architecture as a prototype for LAMs. Pre-trained on a diverse array of chemical and materials systems using a multi-task approach, DPA-2 demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning methodologies. Our approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research. Copyright © 2023, The Authors. All rights reserved.

关键词： Multi-task learning

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