31,271 Hits in 2.5 sec


Yuan Sun, Ping-Xing Chen
2018 Figshare  
supplemental material
doi:10.6084/m9.figshare.7223792 fatcat:rw2o5nb6wjhdpaktmyp3jeskcy

Footprints of the sun: memory of UV and light stress in plants

Ralf Müller-Xing, Qian Xing, Justin Goodrich
2014 Frontiers in Plant Science  
ACKNOWLEDGMENTS This work was supported by a FP7 Marie Curie-IEF fellowship (Plant-Memory) of the EU and by a return fellowship of the German Academic Exchange Service (DAAD) to Ralf Müller-Xing.  ...  AUTHOR CONTRIBUTIONS Ralf Müller-Xing, Qian Xing, and Justin Goodrich wrote the paper.  ... 
doi:10.3389/fpls.2014.00474 pmid:25278950 pmcid:PMC4165212 fatcat:2wujoa6dmjenxnyiclrp7ri7gm

Compound attractors between different chaotic systems

Ai Xing-Xing, Sun Ke-Hui, He Shao-Bo
2014 Wuli xuebao  
To obtain compound attractors between different chaotic systems, based on theoretical analysis, numerical simulation, and circuit simulation methods, compound attractors between different 2-scroll systems, between different multi-scroll chaotic systems, between 2-scroll system and 2-wing system and between multi-scroll system and multi-wing system, are designed via switching control. Dynamical characteristics of the system are analyzed by observing the attractor phase diagram, the largest
more » ... ov exponent and the Poincaré section. A circuit for a compound multiple scroll-multiple wing chaotic attractor is designed and simulated. Numerical simulation and circuit simulation are consistent with each other. It shows that the method of obtaining compound attractors between different chaotic systems via switching control is correct.
doi:10.7498/aps.63.040503 fatcat:znex6uqzunhyficf7sfxk5qsfi

Targeting breast cancer cells with a CuInS2/ZnS quantum dot-labeled Ki-67 bioprobe

Guang Sun, Wanying Xing, Ren Xing, Liu Cong, Sun Tong, Siyao Yu
2017 Oncology Letters  
The aim of the present study was to develop a water-soluble biomarker for the detection of breast cancer using quantum dots (QDs) conjugated to Ki-67, a nuclear protein associated with the cell cycle. Ki-67 is also a marker of cell proliferation, with expression levels categorizing good and poor prognosis in invasive breast cancer. Ki-67 is a clinically used biomarker for breast cancer diagnosis, treatment and prognosis. Owing to the optical and chemical advantages of QDs, QD-based
more » ... y may aid the construction of a biomedical imaging platform for the study of cancer cell behavior. In the present study, a biomarker was prepared by employing the water-soluble CuInS2/ZnS QDs conjugated to an anti-Ki-67 monoclonal antibody to detect Ki-67 expression in breast cancer. The QDs, which were hydrophobic and coated with octadecylamine, were encapsulated with an amphiphilic biocompatible centipede-like polymer, and then conjugated to anti-Ki-67 monoclonal antibodies (QD-Ki-67 probes). The QD-Ki-67 probes retained the original optical properties of the unadorned QDs and did not exhibit distinct toxic side effects in in vitro cytotoxicity experiments. Therefore, this CuInS2/ZnS QD-labeled bioprobe, with a high quantum yield and low cytotoxicity, is a promising candidate for bioimaging and may be used as a cell label.
doi:10.3892/ol.2017.7615 pmid:29434960 pmcid:PMC5777344 fatcat:5miftwzhszgcxemgiqneucdipi

Cyclosporine A-loaded drug delivery systems inhibit scar formation after glaucoma surgery in rabbits

Zhao-Xing Dai, Xiao-Le Song, Xiao-Bo Yu, Jian-Guo Sun, Xing-Huai Sun
2019 Chinese Medical Journal  
doi:10.1097/cm9.0000000000000234 fatcat:4vdx43smczag3f2nqg7sqynjpq

Error Compensation for Area Digital Sun Sensor

Wen-Yang Li, Gao-Fei Zhang, Zheng You, Fei Xing
2012 Sensors  
angles; finally, the arc tangent method is used to calculate the sun angles.  ...  Compared to the error factors of the Linear Array Digital Sun Sensor (DSS), those of the Area Array DSS are complicated and methods used for error compensation are not valid or simple enough.  ...  According to their functions, sun sensors can be divided OPEN ACCESS into 0-1 Sun Sensor, Analogue Sun Sensor (ASS), and Digital Sun Sensor (DSS) which is of high accuracy and large field of view (FOV)  ... 
doi:10.3390/s120911798 fatcat:afyviirryvdqhe7727tcupv4xi

Study of Birefringence and Stress Distribution of SiO2 Film Optical Waveguide on Silicon Wafer

Sun, Sun, Shang, Yu, Chang, Sun, Xing, Dong
2019 Coatings  
Silica waveguide planar lightwave circuit (PLC) technology is driving the broad applications of various functional components to meet the increasing demands of the industry due to its advanced performance in large-scale wafer mass production. Despite the intense research interests in understanding and relaxing the stress causing the optical birefringence, not much research has been devoted to investigating the stress distribution. In this article, the thermal stress, growth-caused stress, and
more » ... ructural stress are comparably studied. The birefringence distribution of a 6 m-thick SiO2 film from the center to the edge on a 6-inch silicon wafer was measured to be 0.0006 to 0.0038, leading to an equivalent stress distribution cross the wafer from −170 to −1000 MPa. This implies that the compressive stress of the thick SiO2 film on the wafer was nonuniformly distributed; however, it gradually increased from the center to the edge. Meanwhile, the measured stress of a SiO2 film decreased with the flow rate of the doped GeH4 gas. The algebraic sum of the above three stresses reached excellent agreement with the measurement results in both distribution form and amplitude. In both research and production, the agreeable optical property distributions between the theoretical calculations and experimental measurements are more sustainable to further improving the yields of SiO2 thick film PLC products.
doi:10.3390/coatings9050316 fatcat:v4q47fj2trfsbcwdglgur3uzpe

Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network

Jinsong Zhang, Wenjie Xing, Mengdao Xing, Guangcai Sun
2018 Sensors  
In recent years, terahertz imaging systems and techniques have been developed and have gradually become a leading frontier field. With the advantages of low radiation and clothing-penetrable, terahertz imaging technology has been widely used for the detection of concealed weapons or other contraband carried on personnel at airports and other secure locations. This paper aims to detect these concealed items with deep learning method for its well detection performance and real-time detection
more » ... . Based on the analysis of the characteristics of terahertz images, an effective detection system is proposed in this paper. First, a lots of terahertz images are collected and labeled as the standard data format. Secondly, this paper establishes the terahertz classification dataset and proposes a classification method based on transfer learning. Then considering the special distribution of terahertz image, an improved faster region-based convolutional neural network (Faster R-CNN) method based on threshold segmentation is proposed for detecting human body and other objects independently. Finally, experimental results demonstrate the effectiveness and efficiency of the proposed method for terahertz image detection.
doi:10.3390/s18072327 pmid:30021954 pmcid:PMC6068619 fatcat:opi3ujix3jeehm74n7u6ocqf6u

Decompositional Quantum Graph Neural Network [article]

Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin Hancock
2022 arXiv   pre-print
and techniques include neighbor aggregation (Xu et al. 2018; Veličković et al. 2018 ) which has found wide applications in social network analysis (Hamilton, Ying, and Leskovec 2017) , drug design (Sun  ... 
arXiv:2201.05158v1 fatcat:mchtexsaprampaaopz46qqtdk4

Rapid iodine capture from radioactive wastewater by green and low-cost biomass waste derived porous silicon–carbon composite

Guiyang Qu, Ying Han, Junjun Qi, Xinyue Xing, Minjie Hou, Yang Sun, Xing Wang, Guangwei Sun
2021 RSC Advances  
The effective and safe capture and storage of radioactive iodine (129I or 131I) are of significant importance during nuclear waste storage and nuclear energy generation.
doi:10.1039/d0ra09723c pmid:35424433 pmcid:PMC8694670 fatcat:gveqmnkmwfchrlbsbphp2tmoj4

A Novel Multi-Aperture Based Sun Sensor Based on a Fast Multi-Point MEANSHIFT (FMMS) Algorithm

Zheng You, Jian Sun, Fei Xing, Gao-Fei Zhang
2011 Sensors  
A Sun sensor + magnetometer is proven to be a better alternative, but the conventional sun sensor has low accuracy, and cannot meet the requirements of the attitude determination systems of micro/nanosatellites  ...  When the sunlight illuminates the sensor, a sun spot array image is formed on the APS detector.  ...  The authors wish to acknowledge the important contributions made by Yu Li, Wei Li, Dong Xu and Junshen Mo to our APS sun sensor development and Qi Wang for his efforts regarding writing and amending the  ... 
doi:10.3390/s110302857 pmid:22163770 pmcid:PMC3231592 fatcat:lsk3tmycvbc7tocycp3iuoplxy

Hybrid rice

Qiang He, Huafeng Deng, Pingyong Sun, Wuhan Zhang, Fu Shu, Junjie Xing, Zhirong Peng
2020 Engineering  
doi:10.1016/j.eng.2020.08.005 fatcat:7xr7y5tnorbw5ep2h7e4kgehum

Study of a Pneumatic-electrical System for Exhaust Air Energy Recovery

Xing Xing Luo, Jihong Wang, Hao Sun
2013 International Journal of Energy Engineering  
In comparison to hydraulic and electrical actuators, the significant drawback of pneumatic actuators is low energy conversion ability which is due to the open-circuit structure in nature. This paper represents a hybrid pneumatic-electrical system for the purpose of recycling exhaust compressed air energy from existing pneumatic actuator outlets to generate electricity. A proper control strategy is developed to manage the actuator system operation and to ensure the energy recovery work well. The
more » ... pneumaticelectrical system mathematical model and the simulation results are presented. The laboratory experimental tests are described. The system energy efficiency is also analyzed. The simulated and experimental studies demonstrate that the whole system operated by the designed controller can successfully recover exhaust compressed air energy under appropriate working conditions.
doi:10.5963/ijee0306004 fatcat:o5dicoxk5ba47lj4ixzbkyiwoi

β-asarone inhibits gastric cancer cell proliferation

2015 Oncology Reports  
β-asarone is the main volatile oil of Chinese herb Rhizoma Acori Tatarinowii. It exhibits a wide range of biological activities in many human organs. However, few studies have investigated the effect of β-asarone on gastric cancer. The present study investigated the effect of β-asarone on the proliferation and apoptosis of three types of differentiated human gastric cancer cell lines (SGC-7901, BGC-823 and MKN-28) in vitro as well as the related molecular mechanisms. Methyl thiazolyl
more » ... assay, Annexin V/ PI double staining, immunofluorescence test and transmission electron microscopy all confirmed that β-asarone had an obvious dose-dependent inhibitive effect on the proliferation of human gastric cancer cells and induced apoptosis of the cell lines. Transwell invasion, wound-healing and matrix-cell adhesion experiments confirmed that β-asarone inhibited the invasion, migration and adhesion of human gastric cancer BGC-823 cells. Quantitative real-time PCR and western blotting found that β-asarone significantly activated caspase-3, caspase-8, caspase-9, Bax, Bak and suppressed Bcl-2, Bcl-xL and survivin activity. Moreover, β-asarone increased the expression of RECK, E-cadherin and decreased the expression of MMP-2, MMP-9, MMP-14 and N-cadherin. The present study demonstrated that β-asarone effectively inhibits the proliferation of human gastric cancer cells, induces their apoptosis and decreased the invasive, migratory and adhesive abilities.
doi:10.3892/or.2015.4316 pmid:26502896 fatcat:5nvg2ijfnzhkdhpmfqas5jx2vy

RMNet: Equivalently Removing Residual Connection from Networks [article]

Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun
2021 arXiv   pre-print
Although residual connection enables training very deep neural networks, it is not friendly for online inference due to its multi-branch topology. This encourages many researchers to work on designing DNNs without residual connections at inference. For example, RepVGG re-parameterizes multi-branch topology to a VGG-like (single-branch) model when deploying, showing great performance when the network is relatively shallow. However, RepVGG can not transform ResNet to VGG equivalently because
more » ... rameterizing methods can only be applied to linear blocks and the non-linear layers (ReLU) have to be put outside of the residual connection which results in limited representation ability, especially for deeper networks. In this paper, we aim to remedy this problem and propose to remove the residual connection in a vanilla ResNet equivalently by a reserving and merging (RM) operation on ResBlock. Specifically, the RM operation allows input feature maps to pass through the block while reserving their information and merges all the information at the end of each block, which can remove residual connections without changing the original output. As a plug-in method, RM Operation basically has three advantages: 1) its implementation makes it naturally friendly for high ratio network pruning. 2) it helps break the depth limitation of RepVGG. 3) it leads to better accuracy-speed trade-off network (RMNet) compared to ResNet and RepVGG. We believe the ideology of RM Operation can inspire many insights on model design for the community in the future. Code is available at:
arXiv:2111.00687v1 fatcat:tiheljf4yrhznniaco27mmgv7i
« Previous Showing results 1 — 15 out of 31,271 results