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3rd International Conference on Biological Information and Biomedical engineering, BIBE 2019

作者： Wang, Xuzhao Chen, Yafei Liu, Hui Hu, Yufeng Zhan, Yong An, Hailong State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Electrical Engineering Hebei University of Technology Tianjin300130 China Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin300130 China Key Laboratory of Molecular Biophysics of Hebei Province School of Science Hebei University of Technology Tianjin300401 China

ISBN: (纸本)9783800750269

The ether à go-go-1(Eag1) channel has been shown to be overexpressed in a variety of cancers. The activation of p53 by nutlin-3 induced cell growth arrest and reduced Eag1 protein level. However, the regulatory dynamics between p53 network and Eag1 is unclear. In this study, mRNA levels of p53 and Eag1 regulated by Nutlin-3 were observed in longterm. The results showed that p53 and Eag1 have strong regulatory relationships, and p53 can reduce the expression level of Eag1 in a short time, and the expression level of Eag1 changes with the concussion of p53 expression. This result will help us understand the regulation dynamics of p53 and Eag1. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Dynamics

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Radioisotope Identification with Scintillation Detector Based on Artificial Neural Networks Using Simulated Training Data

Radioisotope Identification with Scintillation Detector Base...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： Peng Fan Siliang Feng Chenglin Zhu Chunqing Zhao Yigang Ding Zicai Shen Yaqiang Liu Tianyu Ma Yan Xia Beijing Institute of Spacecraft Environment Engineering and National key Laboratory of Science and Technology on Reliability and Environmental Engineering Beijing China Beijing Institute of Spacecraft Environment Engineering Beijing China Tsinghua University Beijing China

Artificial neural networks (ANN) based on learning the features of the entire measured gamma energy spectrum has been used for radioisotope identification and proved promising especially for gamma-ray spectroscopy with low energy resolution. The implementation of ANN method, however, requires tedious experimental measurement process in generation of training data for various radioisotopes. In this work, we propose an ANN-based radioisotope identification method with simulated training data. Gamma energy spectra of 27 different radioisotopes were generated with Monte Carlo simulation. A detector energy response model was proposed to match the energy spectra generated from simulation and measured from experiment, thus “pseudo” measured energy spectra of various radioisotopes transformed from simulation can be used for ANN training, which eliminates the tedious experimental measurement process for training data generation. To reduce the complexity of the training process, the principal component analysis (PCA) method was used for dimension reduction of the input energy spectra in ANN and the channel number of the energy spectra was reduced from 2000 to 50. The trained ANN was further used to identify experimentally measured gamma energy spectra of various radioisotopes including 60 Co., 137 CS., 18 F, 131 I, 226 Ra and 232 Th at 10 3 , 10 4 and 10 5 count levels. In single isotope identification test, with increased count level, higher correct identification rate is achieved and at 10 5 count level, all the isotopes are correctly identified for all the samples. In mixed isotope identification test, at 10 5 count level, all the radioisotope combinations can be identified with a correct identification rate larger than 98%, which demonstrates the feasibility and accuracy of the ANN method. To conclude, the proposed ANN method with simulated training data features good radioisotope identification capability with greatly simplified training data generation process

关键词： Training Radioactive materials Spectroscopy Energy resolution Training data Energy measurement Artificial neural networks

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Boundary layers defect diagnosis and analysis of Through Silicon Via (TSV)

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International Journal of Performability engineering 2019年第1期15卷 97-106页

作者： Chen, Yuan Zhang, Peng Xia, Kuiliang Huang, Hongzhong School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory Fifth Electronics Research Institute Ministry of Industry and Information Technology Guangzhou510610 China Analysis and Test Center South China University of Technology Guangzhou510640 China School of Microelectronics Xidian University Xi'an710071 China

TSV technology can achieve heterogeneous integration by stacking different technologies and functions of logic chip, memory, MEMS, etc., as a system. There are many significant advantages for heterogeneous integration in terms of cost, performance, and time to market. TSV technology has the potential to improve 3D packaging. As the important physical connection and electrical connection between the chips, TSV's reliability is undoubtedly the key to determine the reliability of TSV three-dimensional integrated devices. As a new interconnect technology, TSV technology faces many process difficulties and challenges. Its reliability has not been fully studied and guaranteed. The process optimization and reliability improvement of TSV have become a hot topic in recent years. Recognition process defects and analysis of the failure mechanism play important roles in the optimization and improvement of design, production, and use of TSV three-dimensional integrated devices. In this paper, the square TSV and circular TSV with different ratios were researched by microphysical analysis and data analysis. The analysis results revealed the key technological factors and physical mechanism of formation of the TSV defects, which can support TSV device development, production, and reliable application. © 2019 Totem Publisher, Inc. All rights reserved.

关键词： Defects

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Research on Measurement Methods of Transferability between Different Domains in Transfer Learning

Research on Measurement Methods of Transferability between D...

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Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), CAA Symposium on

作者： Ruochen Qin Chen Lu Science & Technology on Reliability & Environmental Engineering Laboratory Beijing China

ISBN: (数字)9781728106816

ISBN: (纸本)9781728106823

If transfer learning can be used in fault diagnosis of rotating machinery, the transferability between different fault domains should be measured first. A certain degree of similarity between the source domain and the target domain is the prerequisite for the effectiveness of the transfer learning method. In this paper, the transferability measurement results of mahalanobis distance, Kullback-Leibler Divergence and Maximum Mean Discrepancy (MMD) between data domains are compared and analyzed. And the stability and accuracy of mobility measurement results are compared and analyzed by using statistical analysis and anomaly detection. Finally, a case study is carried out using the gearbox data set to verify the effectiveness and superiority of the transferability measurement based on MMD method.

关键词： Rotation measurement Machinery Anomaly detection Feature extraction Monitoring Learning systems Kernel

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Application Prospect of Fission-Powered Spacecraft in Solar System Exploration Missions

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空间科学与技术（英文） 2022年第5期2022卷 89-103页

作者： Yan Xia Jian Li Ruiqiong Zhai Jing Wang Boying Lin Qin Zhou Beijing Institute of Spacecraft Environment Engineering BeijingChina Science and Technology on Reliability and Environmental Engineering Laboratory BeijingChina Beijing Institute of Spacecraft Environment Engineering BeijingChina Institute of Nuclear and New Energy Technology of Tsinghua University The Key Laboratory of Advanced Reactor Engineering and SafetyMinistry of EducationBeijingChina

Fission power is a promising technology,and it has been proposed for several future space *** is being considered for highpower missions whose goal is to explore the solar system and even *** fission power has made great progress when NASA's 1 kWe Kilowatt Reactor Using Stirling technology(KRUSTY)prototype completed a full power scale nuclear test in *** success stimulated a new round of research competition among the major space *** article reviews the development of the Kilopower reactor and the KRUSTY system *** summarizes the current missions that fission reactors are being considered as a power and/or propulsion *** projects include visiting Jupiter and Saturn systems,Chiron,and Kuiper belt object;Neptune exploration missions;and lunar and Mars surface base *** studies suggest that the Fission Electric Propulsion(FEP)/Fission Power System(FPS)is better than the Radioisotope Electric Propulsion(REP)/Radioisotope Power System(RPS)in the aspect of cost for missions with a power level that reaches～1 kWe,and when the power levels reaches～8 kWe,it has the advantage of lower *** a mission that travels further than～Saturn,REP with plutonium may not be cost acceptable,leaving FEP the only *** missions prefer the use of FPS because it satisfies the power level of 10's kWe,and FPS vastly widens the choice of possible landing *** to the current situation,we are expecting a flagship-level fission-powered space exploration mission in the next 1-2 decades.

关键词： application prospect system exploration fission-powered missions solar spacecraft

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Novel pH-responsive hybrid hydrogels for controlled delivery of curcumin: Overcoming conventional constraints and enhancing cytotoxicity in MCF-7 cells

Hybrid Advances

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Hybrid Advances 2024年 6卷

作者： Pourmadadi, Mehrab Gerami, Saman Emami Ajalli, Narges Yazdian, Fatemeh Rahdar, Abbas Fathi-karkan, Sonia Aboudzadeh, M. Ali Protein Research Center Shahid Beheshti University Tehran GC *** Iran School of Chemical Engineering College of Engineering University of Tehran Tehran Iran Department of Life Science Engineering Faculty of New Science and Technologies University of Tehran Tehran Iran Department of Physics Faculty of Sciences University of Zabol Zabol 538-98615 Iran Key Laboratory of Modeling and Simulation-based Reliability and Optimization University of Zabol Zabol Iran Natural Products and Medicinal Plants Research Center North Khorasan University of Medical Sciences Bojnurd 94531-55166 Iran Department of Advanced Sciences and Technologies in Medicine School of Medicine North Khorasan University of Medical Sciences Bojnurd *** Iran POLYMAT and Department of Polymers and Advanced Materials: Physics Chemistry and Technology Faculty of Chemistry University of the Basque Country UPV/EHU Paseo Manuel de Lardizabal 3 Donostia-San Sebastián 20018 Spain

Traditional drug delivery techniques often have drawbacks such inadequate bioavailability, quick clearance, and non-specific targeting, which may result in unfavorable side effects. Hybrid nanocarriers composed of nanoclay have the potential to be a viable solution to these problems. The goal of this work was to design a biocompatible hybrid nanocarrier that would release curcumin under regulated conditions to specific locations, especially cancer cells. FTIR, XRD, and FESEM were used to effectively construct and evaluate our polyvinyl pyrrolidone/polyethylene glycol/montmorillonite (PVP/PEG/MMT) hybrid hydrogels, verifying their synthesis and intended features. Zeta potential and DLS studies showed a suitable size distribution (∼300 nm) and high stability. The curcumin encapsulation efficiency and release profile were assessed using the use of UV spectrophotometry and the dialysis bag technique. The findings showed a gradual and continuous release that was highly impacted by the acidic environment (which mimicked the characteristics of cancer cells), suggesting pH-responsive activity. The MTT test was used in vitro cytotoxicity experiments to show that curcumin-loaded nanocarriers were more effective against MCF-7 cancer cells than curcumin in solution. Increased rates of necrosis and apoptosis in cancer cells treated with the nanocarrier formulation were further validated by flowcytometry. According to these results, PVP/PEG/MMT hybrid hydrogels have a lot of potential as a cutting-edge drug delivery strategy for curcumin. They may be able to overcome some of the drawbacks of traditional techniques and improve the effectiveness of treatment against cancer cells. © 2024 The Authors

关键词： Cancer Curcumin Cytotoxicity Hybrid hydrogel pH-responsive Polyvinylpyrrolidone

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Near real time system short-circuit current Online monitoring platform and its application

Near real time system short-circuit current Online monitorin...

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International Conference on Power System technology (POWERCON)

作者： Yuan Zhou Na Cao Xuan Lin Jie Gao Guangdong Key Laboratory of Electric Power Equipment Reliability Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangzhou Guangdong China College of Science Inner Mongolia Agriculture University Hohhot Inner Mongolia China School of Electric Power Engineering South China University of Technology Guangzhou Guangdong China School of Electronic and Information Engineering Harbin Institute of Technology Harbin Heilongjiang China

ISBN: (纸本)9781665407380

With the economic development, the rapid increase of system capacity has led to an increasing level of system short-circuit current, which has brought new challenges to equipment selection and maintenance. Especially for old equipment such as main transformers, due to insufficient capacity to withstand short-circuit, serious accidents such as explosions may be caused, which threatens the safety of power system operation. Therefore, it is necessary to dynamically evaluate the system short-circuit current in the context of the continuous expansion of the grid scale, to ensure that the external environment meets the equipment operation requirements. Traditional short-circuit current calculation adopts offline calculation method, which is obtained by means of numerical calculation by building and simplifying the model of the system architecture. Due to the huge amount of simulation calculation, there is an error in the equivalence, on the one hand, the calculation period is too long and the update is not timely, At present, it is usually calculated once a year, and it is difficult to reflect the actual short-circuit current situation at the location of the grid equipment. In this paper, combined with the frequent switching of reactive power equipment operations in the power grid, the short-circuit current is monitored by comparing the voltage changes before and after reactive power switching, regardless of the specific power grid structure, and the system as a whole is observed for its external characteristics. This avoids complex network calculations and greatly improves the accuracy and timeliness of system short-circuit capacity observation. Since the short-circuit current monitoring platform does not need to change the high-voltage system wiring or install a separate monitoring device, it only needs to obtain and analyze information such as voltage, reactive equipment capacity, and operating years from the existing dispatching platform and ledger system of the power

关键词： Wiring Short-circuit currents Voltage Switches Transformers Real-time systems Power grids

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Low-Frequency Noise in Amorphous Indium Zinc Oxide Thin Film Transistors with Aluminum Oxide Gate Insulator

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Chinese Physics Letters 2018年第4期35卷 123-126页

作者： Ya-Yi Chen Yuan Liu Zhao-Hui Wu Li Wang Bin Li Yun-Fei En Yi-Qiang Chen School of Electronic and Information Engineering South China University of Technology Cuangzhou 510640 Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Produce Reliability and Environmental Testing Research Institute Guangzhou 510610

Low-frequency noise（LFN） in all operation regions of amorphous indium zinc oxide（a-IZO） thin film transistors（TFTs） with an aluminum oxide gate insulator is investigated. Based on the LFN measured results, we extract the distribution of localized states in the band gap and the spatial distribution of border traps in the gate dielectric,and study the dependence of measured noise on the characteristic temperature of localized states for a-IZO TFTs with Al2 O3 gate dielectric. Further study on the LFN measured results shows that the gate voltage dependent noise data closely obey the mobility fluctuation model, and the average Hooge＇s parameter is about 1.18×10^-*** the relationship between the free carrier number and the field effect mobility, we simulate the LFN using the △N-△μ model, and the total trap density near the IZO/oxide interface is about 1.23×10^18 cm^-3eV^-1.

关键词： Low-Frequency Noise in Amorphous Indium Zinc Oxide Thin Film Transistors with Aluminum Oxide Gate Insulator Al

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Hybrid deep neural network based prediction method for unsteady flows with moving boundaries

arXiv

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arXiv 2020年

作者： Han, Renkun Zhang, Zhong Wang, Yixing Liu, Ziyang Zhang, Yang Chen, Gang State Key Laboratory for Strength and Vibration of Mechanical Structures shannxi Key Laboratory for Environment and Control of Flight Vehicle School of Aerospace Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Reliability and Environment Engineering Laboratory Beijing Institute of Structure and Environment Engineering Beijing100076 China

A novel hybrid deep neural network architecture is designed to capture the spatial-temporal features of unsteady flows around moving boundaries directly from high-dimensional unsteady flow fields data. The hybrid deep neural network is constituted by the convolutional neural network (CNN), improved convolutional Long-Short Term Memory neural network (ConvLSTM) and deconvolutional neural network (DeCNN). Flow fields at future time step can be predicted through flow fields by previous time steps and boundary positions at those steps by the novel hybrid deep neural network. Unsteady wake flows around a forced oscillation cylinder with various amplitudes are calculated to establish the datasets as training samples for training the hybrid deep neural networks. The trained hybrid deep neural networks are then tested by predicting the unsteady flow fields around a forced oscillation cylinder with new amplitude. The effect of neural network structure parameters on prediction accuracy was analyzed. The hybrid deep neural network, constituted by the best parameter combination, is used to predict the flow fields in the future time. The predicted flow fields are in good agreement with those calculated directly by computational fluid dynamic solver, which means that this kind of deep neural network can capture accurate spatial-temporal information from the spatial-temporal series of unsteady flows around moving boundaries. The result shows the potential capability of this kind novel hybrid deep neural network in flow control for vibrating cylinder, where the fast calculation of high-dimensional nonlinear unsteady flow around moving boundaries is needed. Copyright © 2020, The Authors. All rights reserved.

关键词： Flow fields

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Study on fatigue property of the overlap weldments in the vehicle frame 25

Study on fatigue property of the overlap weldments in the ve...

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25th ISSAT International Conference on reliability and Quality in Design, RQD 2019

作者： Weng, Shuo Li, Da-Ang Ren, Chun-Xiang Zhao, Li-Hui Zheng, Song-Lin School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai200093 China Machinery Industry Key Laboratory for Mechanical Strength and Reliability Evaluation of Auto Chassis Components University of Shanghai for Science and Technology Shanghai200093 China Beijing100062 China

ISBN: (纸本)9780991057672

Hot spot stress method has been widely used to assess the fatigue life of welded joints, but it is difficult to confirm accurately the maximum stress location due to the complicated shape and mechanical property of weldments. To determine the fatigue life of welded joints precisely, the real 3D model has been adopted to calculate stress distribution of the overlap weldments in the present work. The fractural surface morphology observation of welded joints after tensile tests and fatigue tests has been carried out by scanning electron microscope (SEM), the results showed that the fractural cracks originates from where the stress is maximum as calculated from finite element method (FEM). This indicates that FEM used by real 3D fits very well with the results of experiments. © 2019 International Society of science and Applied Technologies. All rights reserved.

关键词： Finite element method

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