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Experimental investigation of abnormal transverse flow enhancement of α particles in heavy-ion collisions

Physical Review C 2021年第4期104卷 044611-044611页

作者： Y. Huang W. Lin H. Zheng R. Wada A. Bonasera Z. Chen J. Han R. Han M. Huang K. Hagel T. Keutgen X. Liu Y. G. Ma C. W. Ma Z. Majka G. Qu L. Qin P. Ren G. Tian J. Wang Z. Yang J. B. Natowitz Key Laboratory of Radiation Physics and Technology of the Ministry of Education Sichuan University Chengdu 610064 China School of Physics and Information Technology Shaanxi Normal University Xi'an 710119 China Cyclotron Institute Texas A&M University College Station Texas 77843 USA School of Physics Henan Normal University Xinxiang 453007 China Laboratori Nazionali del Sud INFNvia Santa Sofia 62 95123 Catania Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China College of Physics and Electronics Information Inner Mongolia University for Nationalities Tongliao 028000 China FNRS and IPN Université Catholique de Louvain B-1348 Louvain-Neuve Belgium Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China Jagiellonian University Krakow Poland School of Science Huzhou University Huzhou 313000 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu 610213 China

The mass dependence of the transverse flow for Z=1–5 fragments from the collisions of Ar40+Al27, Ar40+Ti48, and Ar40+Ni58 at 47 MeV/nucleon is investigated experimentally in this article. The transverse flow values are determined using the in-plane components of the fragment transverse momenta, where three conventional methods, i.e., the kinetic flow tensor method, the transverse momentum analysis method, and the azimuthal correlation method, are applied to reconstruct the reaction plane in an event-by-event basis. It is demonstrated from the comparison of the present experimental mass dependent flow measurements and the model simulations using an improved antisymmetrized molecular dynamics model that the experimentally observed abnormal α transverse flow enhancement is closely related to the reaction plane reconstruction procedure in the flow extraction. We further investigate the physical existence of the abnormal α flow behavior using a two-particle azimuthal correlation method, which allows us to provide the relative flow magnitude information with an identification of fragment charge number without the knowledge of the reaction plane differing from the three conventional methods. It is found that the relative flow magnitudes deduced from the two-particle azimuthal correlation functions with an identification of Z, with the correction for the recoil effect imposed by the momentum conservation, show a monotonically increasing trend as a function of fragment charge number, with no exception of the α flow enhancement. These results, in addition to those from the improved antisymmetrized molecular dynamics model simulations, definitely provide experimental evidences for the inexistence of the abnormal α flow behavior in the heavy-ion collisions at the present incident energy region in nature.

关键词： Collective flow Low & intermediate energy heavy-ion reactions Nuclear reaction analysis

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Efficiency analysis of a two-phase natural circulation loop and design improvement 27

Efficiency analysis of a two-phase natural circulation loop ...

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27th International Conference on Nuclear Engineering: Nuclear Power Saves the World!, ICONE 2019

作者： Wang, Dongqing Zhang, Xiaoying Ma, Quan Wang, Chunyu Wang, Long Ma, Jun Sino-French Institute of Nuclear Engineering and Technology Sun Yet-Sen University Zhuhai Guangdong China State Key Laboratory of Reactor System Design Technology Nuclear Power Institute of China Chengdu Sichuan China China Nuclear Power Technology Research Institute Shenzhen Guangdong China Sino-French Inst. of Nuclear Engineering and Technology Sun Yet-Sen University Zhuhai Guangdong China

ISBN: (纸本)9784888983051

In this paper, the driving power conversion rate of a two-phase natural circulation loop is analyzed numerically. In operation of the two-phase natural circulation loop, part of thermal energy is converted into driving power, that is, the gravity difference between steam and water in vertical loops. The power drives circulation flow in this loop and it is converted into kinetic energy of the fluid, which is partially dissipated eventually with flow resistance. In steady state, the conversion rate is equal to the dissipation rate. In this study, modeling and simulation of a general two-phase natural circulation loop are performed. The dissipation rate of kinetic energy with flow resistance is calculated, which is equal to the driving power conversion rate in value. Furthermore, the conversion rate from thermal energy to the power is obtained with the conversion rate calculated indirectly and heat transfer rate of the heat source. Simulation results indicate that the conversion rate can be as low as 0.01%. Based on this result, design improvement of the natural circulation loop is proposed. In this design, the thermoelectric material Bi2Te3 is attached outside part of the heat exchanger tubes. With the material, the temperature difference between fluid inside and outside the heat exchanger leads to voltage, and the heat exchanger with the material actually works as a thermoelectric generator (TEG). In this way, part of thermal energy is converted into electricity with an efficiency which is much greater than that of original two-phase natural circulation loop. The electricity converted is further used to enhance circulation flow of water through a pump and natural convection outside the heat exchanger with a group of agitators. With this design, the driving power conversion rate of the two-phase natural circulation loop is increased, the driving force is enhanced, circulation flow and heat transfer can be improved. Copyright © 2018-2019 by JSME

关键词： Thermal energy

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A Method for Obtaining Contact Force between Catheter Tip and Vascular Wall in Master-slave Robotic system

A Method for Obtaining Contact Force between Catheter Tip an...

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IEEE International Conference on Mechatronics and Automation

作者： Xiaoliang Jin Shuxiang Guo Jian Guo Peng Shi Dapeng Song Faculty of Engineering and Design Kagawa University 2217-20 Hayashi-cho Takamatsu Kagawa Japan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology the Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology Beijing China Tianjin Key Laboratory for Control Theory and Application in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In the research of vascular interventional surgery robotic system, the force information acquisition of surgical tools (guidewires and catheters) has a significant affect on the safety of surgery, especially the contact force between the catheter tip and vascular wall. Therefore. In order to obtain this contact force, we noticed the pressure sensitive rubber because of its piezoresistive effect and easy processing into any shape. a force sensor based on the pressure sensitive rubber was developed in this paper. Once a force is applied on the force sensor attached to the catheter tip, the contact force can be approximated by the piezoresistive effect of the pressure sensitive rubber. The feasibility of the developed force sensor was verified by the experiments in “Vitro”. And the results showed that the force sensor was developed in this paper can accurately detect the contact force between the catheter tip and vascular wall at different positions in the vascular model, the extraction of contact force information of catheter tip is of great significance to the safety of surgery, and the application potential of pressure sensitive rubber.

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Feature extraction and resident number prediction method using power consumption data

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, Information and systems 2019年第3期139卷 227-236页

作者： Yoshida, Masahiro Imanishi, Tomoya Nishi, Hiroaki Hiroaki Nishi Laboratory Graduate School of Science for Opens and Environmental Systems Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama223-8522 Japan Department of System Design Engineering Faculty of Science and Technology Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama223-8522 Japan

A large amount of power consumption information generated from private houses is being aggregated nowadays, particularly by the spread of smart electric meters. Applications that utilize these data are widely studied, and several services have been proposed. In order to utilize the power demand information effectively, an appropriate feature extraction and selection method is necessary. In this paper, a feature extraction method for power consumption information is proposed. Extracted features are used to predict the "number of household members (number of residents)" using typical machine learning algorithms, namely, Support Vector Machine (SVM), k-Nearest Neighborhood (k-NN), and Random Forest (RF). The number of residents represents significant information for the marketing departments of several industries such as real estate and construction industries. The proposed feature extraction method consists of two steps: feature variable generation and feature variable selection. In the feature variable generation step, we have used both fundamental statics and an ARMA model to generate 33 feature variables. In the feature variable selection step, the extracted feature variables are first ranked by applying Analysis of Variance (ANOVA). An appropriate feature variable set is selected by assessing several combinations of the 33 features, based on proposed extended algorithm of Recursive Feature Elimination (RFE). Our overall feature extraction method is evaluated based on the prediction accuracy using extracted feature variables. Compared with the accuracy using feature variables extracted by conventional methods, the accuracy is improved by 6.78%, 4.98%, and 8.11% for k-NN, SVM, and RF, respectively, and we have successfully proven validity of our proposition. © 2019 The Institute of Electrical Engineers of Japan.

关键词： Support vector machines

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The study of physical characteristics in producing Mo-99

The study of physical characteristics in producing Mo-99

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2018 Transactions of the American Nuclear Society, ANS 2018

作者： Hu, Yuying Luo, Qi Yao, Dong Yu, Yingrui Qiu, Liqing Liao, Hongkuan Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China China Nuclear Power Institute of China Chengdu610041 China

When the velocity of coolant water is 2m/s, 4 targets of 32.5g235U in 3# hole could produce more than 60,000Ci per year. Under this condition, targets are irradiated safely, and the largest production could be gained....

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Morphology and temporal interactions of silica particles influence the chemotherapeutic cancer cell death

Nano TransMed

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Nano TransMed 2024年 3卷

作者： Sharma, Astha Yan, Jiachen Siwakoti, Prakrit Saeed, Ayad Agarwal, Vipul Xu, Zhi Ping Wang, Ran Kumeria, Tushar School of Materials Science and Engineering University of New South Wales Kensington Sydney 2052 NSW Australia Australian Centre for Nanomedicine University of New South Wales Kensington Sydney 2052 NSW Australia Cluster for Advanced Macromolecular Design (CAMD) School of Chemical Engineering University of New South Wales Kensington Sydney 2052 NSW Australia Institute of Biomedical Health Technology and Engineering Shenzhen Bay Laboratory Shenzhen China The Australian Institute for Bioengineering and Nanotechnology The University of Queensland St Lucia Brisbane 4072 QLD Australia Institute of System and Physical Biology Shenzhen Bay Laboratory Shenzhen 518107 China Mater Research Institute – The University of Queensland Translational Research Institute Woolloongabba QLD Australia School of Pharmacy University of Queensland Woolloongabba 4102 QLD Australia

Encapsulation of drugs into nanocarriers is proven to be highly promising approach in reducing drug toxicity and enhancing therapeutic efficacy. However, controlling the loading efficiency and capacity, and release of therapeutics at specific disease site has remained a key challenge, particularly for toxic chemotherapeutic drugs. This work explored the effect of treatment with empty silica nanoparticles (SNPs) and a chemotherapeutic drug either together (i.e. co-treatment) or in tandem (i.e. temporally spaced) on the cell ablation ability of the drug. The study also investigated whether the efficacy of the drug in response to these treatments was dependent on the morphology of particles. SNPs of four different morphologies (solid: SSNPs, dendritic: DSNPs, mesoporous: MSNPs, and rod: RSNP) were used, while cisplatin (CisPt) served as model chemotherapeutic. The efficacy of CisPt as a function of SNPs morphology and temporal treatment strategy was tested in HeLa cells. The results indicated that the morphology of particles as well as treatment strategy (i.e. co-incubation and post treatment) had an impact on not only the cell viability but also the cell death pathways, as evidenced by varying IC50 values and the flow cytometry analysis. Interestingly, co-treatment of SNPs with CisPt resulted in an across-the-board lower IC50 value compared to when the cells were first treated with SNPs for 24 h followed by CisPt treatment and even when CisPt was loaded into the particles for most of the SNPs. © 2024 The Author(s)

关键词： Apoptosis Cytotoxicity Drug-resistance Necrosis Silica nanoparticles

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Traffic Control Task Scheduling Optimization Approach of Urban Road Intersection Based on Edge Computing

Traffic Control Task Scheduling Optimization Approach of Urb...

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Xiang Fu Fei Wang Nan Ji Yilong Ren School of Transportation Science and Engineering Beihang University BUAA Beijing China Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing China Intelligent Transport System (ITS) R & D Center Shanghai Urban Construction Design and Research Institute (Group) Co. Ltd. Shanghai China

ISBN: (纸本)9781665412971

With the development of Connected Automated Vehicles (CAV), there will be a long period of mixed driving, which causes the traffic control task at intersections becomes much more complicated. The control tasks would include not only the traffic signal timing optimization but also the computing tasks for different levels of vehicles. Current control task management methods are proved to be inferior to solve this problem. In this paper, we propose an intersection control task scheduling optimization approach based on edge computing. Firstly, the traffic control edge computing system for intersections is constructed. Then, different types of control tasks are listed. Criticality and timeliness are introduced to calculate the control task's dynamic priority. The control task scheduling optimization model, which considering these two parameters is proposed. At last, the improved Hungarian algorithm is applied to solve the proposed task scheduling optimization model. Simulation results show that our proposed methods can effectively reduce task processing costs and ensure the critical tasks execute firstly.

关键词： Processor scheduling Computational modeling Heuristic algorithms Traffic control Scheduling Timing Task analysis

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Study on melting behavior and related influential factors of shroud and basket of acp1000 during a severe accident

Study on melting behavior and related influential factors of...

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2018 International Congress on Advances in Nuclear Power Plants, ICAPP 2018

作者： Hou, Li-Qiang Zhu, Da-Huan Wu, Qing Deng, Jian Wu, Xiao-Li Science and Technology on Reactor System Design Technology Nuclear Power Institute of China Chengdu of Sichuan Prov 610213 China

ISBN: (纸本)9780894487552

The focusing effect of the metal molten pool plays an important role in elevating the validity of the In-Vessel Retention (IVR) during a severe accident while the melting of the shroud and basket can contribute to the formation of the metal molten pool. Therefore, the study on the melting behavior of the shroud and basket can offer technical support for the validity analysis of IVR. The method of computational fluid dynamics (CFD) has been used to establish a two-dimensional calculation model of the 1/8 core of ACP1000 to study the melting behavior of the shroud and basket during the severe accident of large LOCA. The core has been divided into ten nodes in the axial direction and the radiation model and the solidification and melting model have been considered during the calculation. The results show that the shroud at six out of ten nodes and the basket at five out of ten nodes have melted totally before the first significant migration of the core and that the basket always starts to melt after the shroud has melted totally at the same node. © 2018 American Nuclear Society. All rights reserved.

关键词： Melting

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A novel TSK fuzzy system incorporating multiview collaborative transfer learning for personalized epileptic EEG detection

arXiv

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arXiv 2021年

作者： Li, Andong Deng, Zhaohong Lou, Qiongdan Choi, Kup-Sze Shen, Hongbin Wang, Shitong School of Artificial Intelligence and Computer Science Jiangnan University Jiangsu Key Laboratory of Digital Design and Software Technology Wuxi214122 China Centre for Smart Health Hong Kong Polytechnic University Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China

—In clinical practice, electroencephalography (EEG) plays an important role in the diagnosis of epilepsy. EEG-based computer-aided diagnosis of epilepsy can greatly improve the accuracy of epilepsy detection while reducing the workload of physicians. However, there are many challenges in practical applications for personalized epileptic EEG detection (i.e., training of detection model for a specific person), including the difficulty in extracting effective features from one single view, the undesirable but common scenario of lacking sufficient training data in practice, and the no guarantee of identically distributed training and test data. To solve these problems, we propose a TSK fuzzy system-based epilepsy detection algorithm that integrates multi-view collaborative transfer learning. To address the challenge due to the limitation of single-view features, multi-view learning ensures the diversity of features by extracting them from different views. The lack of training data for building a personalized detection model is tackled by leveraging the knowledge from the source domain (reference scene) to enhance the performance of the target domain (current scene of interest), where mismatch of data distributions between the two domains is resolved with adaption technique based on maximum mean discrepancy. Notably, the transfer learning and multi-view feature extraction are performed at the same time. Furthermore, the fuzzy rules of the TSK fuzzy system equip the model with strong fuzzy logic inference capability. Hence, the proposed method has the potential to detect epileptic EEG signals effectively, which is demonstrated with the positive results from a large number of experiments on the CHB-MIT dataset. © 2021, CC BY-NC-ND.

关键词： Electrophysiology

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An MR fluids-based master haptic interface with adjustable protection threshold for endovascular catheterization

An MR fluids-based master haptic interface with adjustable p...

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2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019

作者： Zhang, Linshuai Guo, Shuxiang Gu, Shuoxin Song, Dapeng Shi, Peng Jin, Xiaoliang Chengdu University of Information Technology School of Control Engineering Chengdu Sichuan China Kagawa University Faculty of Engineering and Design Takamatsu Kagawa Japan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology Haidian District Beijing100081 China

ISBN: (纸本)9781728163215

Insufficient force feedback and collision warning of teleoperation surgical tools increase the risk of endovascular catheterization. This paper proposed a master haptic interface with the adjustable threshold that takes advantage of a surgeon's natural manipulation skills obtained through experience, as well as generates collision warning with haptic cues to ensure safe operation. The experiments for performance evaluation regarding the haptic force assessment and the real-time adjustment of threshold are conducted. Results show that the magnitude of the instantaneous haptic change in the haptic interface is sufficient to elicit the operator's response, even for novices. Furthermore, for the setting thresholds after adjustment, the operator has a fast reaction to distinguish whether the catheter tip collides with blood vessels or not by collision warning with haptic cues, thus achieving the goal of safe operation. © 2019 IEEE.

关键词： Haptic interfaces

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