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46th Vietnam Conference on Theoretical Physics, VCTP 2021

作者： Pham, Oanh P. Lai, Hien T.T. Tran, Duong B. Le, Linh T. P. Nguyen, Anh Thi Van Nguyen, Hang Thi Thu Nguyen, Toan T. Key Laboratory for Multiscale Simulation of Complex Systems VNU University of Science Vietnam National University 334 Nguyen Trai Street Thanh Xuan Dist Hanoi120000 Viet Nam Key Laboratory of Enzyme and Protein Technology VNU University of Science Vietnam National University 334 Nguyen Trai Street Thanh Xuan Dist Hanoi120000 Viet Nam Department of Theoretical Physics VNU University of Science 334 Nguyen Trai Street Thanh Xuan Dist Hanoi120000 Viet Nam

Allopurinol (ALP), a xanthine oxidase inhibitor, is an FDA-approved urate-lowering medication used to treat Gout, prevent tumor lysis syndrome, and prevent recurrent calcium nephrolithiasis in hyperuricosuria patients. However, it has been known as a common cause of severe cutaneous adverse drug reactions (SCAR) including Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN), hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms (HSS/DRESS), especially in patients carrying the Human Leukocyte Antigens allele HLA-B∗58:01, which is more prevalent in Asian population. However, although patients do not carry the HLA-B∗58:01 allele, they still exhibit allopurinol-induced SCAR. Surprisingly, a large number of these patients have the HLA-A∗33:03 allele. In this research, we investigated the binding of ALP to the HLA-A∗33:03 structure using Molecular Dynamics (MD) simulation. Our results showed that the complex of HLA-A∗33:03 and ALP was stable after 100000 ps simulation time. ALP had strong interactions with three important residues locating in the active site of HLA-A∗33:03, which include the seven amino acid residues Val 76, Asp 77, Leu 81, Ile 95, Gln 96, Asp 116, and Tyr 123. This data suggests that ALP has strong binding affinity for this allele. Thus, in addition to HLA-B∗58:01, HLA-A∗33:03 may be a potential screening marker before prescribing Allopurinol for Gout treatment. © Published under licence by IOP Publishing Ltd.

关键词： Genes

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Exponential Bhatnagar-Gross-Krook integrator for multiscale particle-based kinetic simulations

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Physical Review E 2022年第2期106卷 025303-025303页

作者： M. Pfeiffer F. Garmirian M. H. Gorji Institute of Space Systems University of Stuttgart Pfaffenwaldring 29 70569 Stuttgart Germany Laboratory of Multiscale Studies in Building Physics Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf Switzerland

Despite the development of an extensive toolbox of multiscale rarefied flow simulators, such simulations remain challenging due to the significant disparity of collisional and macroscopic spatiotemporal scales. Our study offers a novel and consistent numerical scheme for a coupled treatment of particles advection and collision governed by the BGK evolution, honoring positivity of the velocity distribution. Our method shares its framework, in spirit, with the unified gas kinetic class of multiscale schemes. Yet it provides attractive features for particle-based stochastic simulations, readily implementable to existing direct simulation Monte Carlo codes. Two main innovations are integrated in the presented BGK particle method. The first ingredient is a high-order time integration that can be interpreted probabilistically, independent of the time step size. The next one is identifying modified particle distributions that remain invariant under the advection-relaxation evolution. We demonstrate accuracy and performance of the devised scheme for prototypic gas flows over a wide range of rarefaction parameters. Due to the resulting robustness and flexibility of the devised exponential BGK integrator, the scheme paves the way towards more affordable simulations of large-scale and multiscale rarefied gas phenomena.

关键词： High-speed flow Kinetic theory Nonequilibrium statistical mechanics Random walks Rarefied flows

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LF/HF Interferometry in Low Earth Orbit Using Electromagnetic Vector Sensors: The AERO-VISTA Mission

LF/HF Interferometry in Low Earth Orbit Using Electromagneti...

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2023 United States National Committee of URSI National Radio science Meeting, USNC-URSI NRSM 2023

作者： Erickson, Philip J. Lind, Frank D. Knapp, Mary Volz, Ryan Swoboda, John Weatherwax, Allan T. Labelle, James W. Robey, Frank Fenn, Alan J. Perry, Brad Silver, Mark Masterson, Rebecca Cahoy, Kerri Belsten, Nicholas Payne, Cadence Ammons, Kristen Malphrus, Benjamin Massachusetts Institute of Technology Haystack Observatory WestfordMA01886 United States Dartmouth College Department of Physics and Astronomy HanoverNH03755 United States Mit Lincoln Laboratory LexingtonMA02421 United States Massachusetts Institute of Technology Aeronautics and Astronautics Department CambridgeMA02139 United States Morehead State University Department of Physics Earth Science and Space Systems Engineering MoreheadKY40351 United States

ISBN: (纸本)9781946815187

We describe AERO-VISTA, a NASA Heliophysics twin cubesat mission targeting the LF to HF frequency range with instrumentation implementing data collection, interference nulling, and direction finding capability on in-situ space platforms. The Auroral Emission Radio Observer (AERO), along with a second identical spacecraft, the Vector Interferometry space technology using AERO (VISTA), are upcoming 6U size CubeSats which will be launched concurrently into a common polar orbit. AERO-VISTA will observe 100 kHz - 15 MHz radio emissions of auroral origin such as Auroral Kilometric Radiation (AKR), auroral hiss, auroral roar, and Medium Frequency Burst (MFB). We will give an overview of the AERO-VISTA mission, describe its technical approach, present milestones achieved, and discuss the greater potential of EMVS high dimensional approaches for astrophysical applications. © 2023 USNC-URSI.

关键词： Interferometry

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An under-construction space simulation wind tunnel facility with an anechoic room 27

An under-construction space simulation wind tunnel facility ...

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27th International Congress on Sound and Vibration, ICSV 2021

作者： Xiaodong, Peng Zhen, Yang Xuchen, Shen Hanyin, Cui Chao, Li Quan, Guo Key Laboratory of Electronics and Information Technology for Space Systems National Space Science Center CAS Beijing China State Key Laboratory of Acoustics Institute of Acoustics Chinese Academy of Sciences Beijing China National Institute of Natural Hazards Ministry of Emergency Management Beijing China

ISBN: (纸本)9788378807995

A unique and new space environmental simulation facility with both a wind tunnel and an anechoic chamber is in the very early stage of construction at National space science center, Chinese academy of sciences at Beijing in China. It is due for completion in 2021. This facility consists of a 4.2 m diameter and 10 m length thermal-vacuum environmental chamber within which a wind tunnel is housed. It has the ability of reproduce the key physical parameters, such as temperatures from - 130°C to 100°C, pressures in the range of 10-3 Pa to 2atm, atmospheric compositions, and wind flow. The wind tunnel is designed to produce the wind with speeds in the range 1-35 m/s even at a 500 Pa low-pressure, so that to recreating the windy tenuous Martian atmosphere. Specifically, this facility is designed mainly for studies of acoustic sensing and acoustic related techniques in planetary exploration, for instance, the Martian microphone, the ultrasonic anemometer for measuring Martian wind fields, the sonar system for probing the ice seas of Europa, and so on. The designed anechoic room, which has the free-field condition at frequencies above 200Hz, will be housed within the environmental chamber. It is used for experimental measurements of sound speed and attenuation, acoustic-instrument design, testing and calibration, atmospheric propagation modelling, and other scientific studies related to acoustic exploration in planetary science. © "Advances in Acoustics, Noise and Vibration - 2021" Proceedings of the 27th International Congress on Sound and Vibration, ICSV 2021. All rights reserved.

关键词： Acoustic fields

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Mitigating Over-Trust in Chat Companion Robot Interaction Using Augmented Reality 23

Mitigating Over-Trust in Chat Companion Robot Interaction Us...

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Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering

作者： Guobao Wang Changshun Zhao Ying Liu Di He Yuqing Wang Kaiyue Zhang Yanshan University/Jiangsu Xuzhou Construction Machinery Group Co. Ltd. China Officers College of PAP China National Key Laboratory for Complex Systems Simulation China University of Electronic Science and Technology of China China Jiangsu Province Tongshan Secondary Vocational School China

ISBN: (纸本)9798400708831

This study aims to explore the effects of different human-machine interfaces, system performance, and robot interaction modalities on over-trust in chat companion robot systems. We designed and implemented three types of interfaces: 2D Virtual Interface + Virtual Robot, 3D Augmented Reality Interface + AR-based Virtual Robot, and 3D Real World + NAO Physical Robot. We also manipulated the system performance (high or low) and the robot interaction modality (language, gesture, or both). We conducted a user study with 30 participants, who interacted with the chat companion robot under different conditions and rated their trust, distrust, and human-robot distance. We also measured the user experience in terms of usefulness and ease of use. The results showed that the type of interface significantly influenced the trust, distrust, and human-robot distance of the users, and that the 3D augmented reality interface was the most effective in enhancing trust and reducing distrust and distance. The performance of the system also affected the trust and distance of the users, and the gesture interface was the most sensitive to the performance variation. The modality of the interaction did not have a significant impact on the dependent variables. The user experience ratings also indicated that the 3D augmented reality interface was the most useful and easy to use. The implications and limitations of these findings are discussed in the paper.

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The design of special energy conversion device of integrated self-powered brake system 2

The design of special energy conversion device of integrated...

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2021 2nd International Conference on Mechatronics technology and Intelligent Manufacturing, ICMTIM 2021

作者： Qiao, Weizhi Li, Ding-Bo Gao, Xiang Liu, Xiaochao Zhang, Hao Li, Renjie Wang, Xiyu Hou, Yanze Chen, Chong Ningbo Institute of Technology Beihang University Ningbo315800 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou310027 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Research Institute for Frontier Science Beihang University Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing100094 China

In recent years, a novel electro-hydraulic integrated self-powered brake system for aircraft has been proposed. A modular "self-powered device" is installed near the wheel to recover the rotational kinetic energy when the wheel lands and convert it into hydraulic energy for braking. The energy conversion device is the compact high-power-weight ratio energy harvesting mechanism, which needs to be designed in the extremely narrow internal space of the wheel. At the same time to ensure high reliability, high strength, high power weight ratio, difficult, and wheel brake disc internal temperature reaches 600 ℃ above, this to the design of the can take institutions are challenges. In this paper, the high strength compact high power-weight ratio energy conversion device as the research goal, through new principles, new structure, new materials, new technology, new methods and other means of the energy taking mechanism design and development, and finally achieve the strength, stiffness, reliability, life of the energy conversion device to meet the requirements of the system. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Wheels

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Design simulation and structure optimization of plunger assembly closing 2

Design simulation and structure optimization of plunger asse...

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2021 2nd International Conference on Mechatronics technology and Intelligent Manufacturing, ICMTIM 2021

作者： Qiao, Weizhi Wang, Zhenyu Gao, Xiang Liu, Xiaochao Qiu, Zhongyi Hou, Yanze Chen, Chong Ningbo Institute of Technology Beihang University Zhejiang Ningbo315800 China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Zhejiang Hangzhou310027 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Research Institute for Frontier Science Beihang University Beijing100191 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing100094 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing100191 China

Hydraulic motors and pumps are the core components in hydraulic systems. The plunger assembly is a key component for the realization of the function of the axial piston pump and motor. The coupling between the slipper and the plunger body is completed through the closing process. With the application of computational science and finite element technology, DEFORM-3D metal forming process simulation is used to establish the corresponding closing device model of the plunger assembly. Through simulation, we analyze the change law of metal flow during plastic deformation process, and carry out structural optimization design based on the simulation results. We found that the closing is completed under the appropriate cone angle and distance line of the shoe, the quality is relatively uniform, and there is no closing defects such as metal flow overflow and cracks. The pull-off force and the clearance value after rolling can meet the design requirements. This method not only can effectively shorten the product verification cycle and reduce the cost, but also can reduce the defects of the finished product and improve the yield rate, providing a new way for the design of the closing structure and closing model of the plunger assembly. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Structural optimization

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A Solution Analysis of U.S. Weapon Equipment systems-of-systems Development and Application 7

A Solution Analysis of U.S. Weapon Equipment Systems-of-Syst...

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7th International Conference on Information science and Control Engineering, ICISCE 2020

作者： Lin, Menglong Yi, Shuanghui Zhang, Mengmeng Shu, Zhen National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China National Key Laboratory for Complex System Simulation Beijing China

ISBN: (纸本)9781728164069

In recent years, the development and deployment of the U.S. weapon equipment systems-of-systems (SoS) have yielded rich research results. However, there are still large gaps in the SoS development, joint testing, and design and acquisition of our own equipment SoS. The barriers of these steps have not yet been opened up. This article mainly analyzes the solutions of the U.S. weapon equipment SoS from three aspects, such as capability-based requirement generation and architecture design technology, interconnected-oriented integration test technology, and weapon equipment design and acquisition technology based on complex adaptive systems. We explore key technologies involved in order to form an overall understanding and explore related research approaches. © 2020 IEEE.

关键词： System of systems

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Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks

Window Classification Strategy RWA Algorithm Based on Bee Co...

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International Conference on Information, Communication and Networks (ICICN)

作者： Le Yuan Yuanfeng Li Qi Zhang Furong Chai Xiangjun Xin Jinxi Qian Fu Wang Feng Tian Qinghua Tian Meng Sun school of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China Science and Technology on Information Systems Engineering Laboratory Beijing China School of Information and Electronics Beijing Institution of Technology Beijing China China Academy of Space Technology (CAST)) Beijing China

This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. simulation results show that this algorithm has superior performance in terms of blocking rate and delay.

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Deep Learning-Based Prediction of Subsurface Oil Reservoir Pressure Using Spatio-Temporal Data 49

Deep Learning-Based Prediction of Subsurface Oil Reservoir P...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Cheng, Haibo He, Yunpeng Zeng, Peng Li, Shichao Vyatkin, Valeriy Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Luleå University of Technology Department of Computer Science Electrical and Space Engineering Luleå Sweden Aalto University Department of Electrical Engineering and Automation Helsinki Finland

ISBN: (纸本)9798350331820

Prediction of subsurface oil reservoir pressure are critical to hydrocarbon production. However, the accurate pressure estimation faces great challenges due to the complexity and uncertainty of reservoir. The underground seepage flow and petrophysical parameters (permeability and porosity) are important but difficult to measure in oilfield. Deep learning methods have been successfully used in reservoir engineering and oil & gas production process. In this study, the effective but inaccessible subsurface seepage fields are not used, only the spatial coordinates and temporal information are selected as model input to predict reservoir pressure. A stacked GRU-based deep learning model is proposed to map the relationship between spatio-temporal data and reservoir pressure. The proposed deep learning method is verified by using a three-dimensional reservoir model, and compared with commonly-used methods. The results show that the stacked GRU model has a better performance and higher accuracy than other deep learning or machine learning methods in pressure prediction. © 2023 IEEE.

关键词： Forecasting

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