16,994 Hits in 1.3 sec

Nonlinear transport by vortex tangles in cuprate high-temperature superconductors [article]

Rong Li, Zhen-Su She
2017 arXiv   pre-print
holes, which resolves the discrepancy of Anderson's model, and describes quantitatively both the nonlinear field dependence of flux-flow resistivity ρ = ρ n (B +B T )/(B 0 +B +B T ) and the Nernst * she  ... 
arXiv:1706.00228v1 fatcat:u7u3c7w4hvcxnc6bwhuwgqidt4

Image reconstruction from phased-array data based on multichannel blind deconvolution

Huajun She, Rong-Rong Chen, Dong Liang, Yuchou Chang, Leslie Ying
2015 Magnetic Resonance Imaging  
In this paper we consider image reconstruction from fully sampled multichannel phased array MRI data without knowledge of the coil sensitivities. To overcome the non-uniformity of the conventional sum-of-square reconstruction, a new framework based on multichannel blind deconvolution (MBD) is developed for joint estimation of the image function and the sensitivity functions in image domain. The proposed approach addresses the non-uniqueness of the MBD problem by exploiting the smoothness of
more » ... functions in the image domain through regularization. Results using simulation, phantom and in vivo experiments demonstrate that the reconstructions by the proposed algorithm are more uniform than those by the existing methods.
doi:10.1016/j.mri.2015.06.008 pmid:26119418 fatcat:otxm5zj3zvdixix4yj7lurqla4

Degradation of Ultra-Thin Gate Oxide NMOSFETs under CVDT and SHE Stresses

Hu Shi-Gang, Cao Yan-Rong, Hao Yue, Ma Xiao-Hua, Chen Chi, Wu Xiao-Feng, Zhou Qing-Jun
2008 Chinese Physics Letters  
During SHE stress, SILC firstly decreases with stress time and suddenly jumps to a high level, and no soft breakdown event is observed.  ...  Degradation of device under substrate hot-electron (SHE) and constant voltage direct-tunnelling (CVDT) stresses are studied using NMOSFET with 1.4-nm gate oxides.  ...  Thus SILC decreases with stress time during SHE stress.  ... 
doi:10.1088/0256-307x/25/11/074 fatcat:j5rxfagnuvanrfvzyfrmerkjfe

Antisocial punishment in the game

Jing CHEN, Rong ZHANG, Jiaqi YUAN, Shengxiang SHE
2022 Advances in Psychological Science  
Antisocial punishment in the game refers to the phenomenon that the game participants implements economic punishment (with monetary cost), negative evaluation, or exclusion and suppression on others who exhibit high contributions or cooperation of prosocial behavior. Previous studies, using classic game paradigms with punishment, have proved that antisocial punishment is deeply influenced by a variety of individual and environmental factors, and put forward five hypotheses to exp lain its
more » ... tion mechanism from the perspective of aggression, revenge, social comparison, deviation from group norms, and evolutionary strategies. Future researches can further clarify the concept and measurement indicators, innovate research methods, expand studies of influencing factors, explicate the generating mechanism, and conduct targeted intervention studies.
doi:10.3724/sp.j.1042.2022.00436 fatcat:pbiraslgkbfj3ljah2metv6kea

Shock Wave in Leader Discharge Observed Using Mach-Zehnder Interferometry [article]

Yingzhe Cui, Chijie Zhuang, Xuan Zhou, Zezhong Wang, She Chen, and Rong Zeng
2018 arXiv   pre-print
Shock Wave in Leader Discharge Observed Using Mach-Zehnder Interferometry Yingzhe Cui, 1, a) Chijie Zhuang, 1, a) Xuan Zhou, 1, a) Zezhong Wang, 1 She Chen, 2 and Rong Zeng 1, b) A leader is an electric  ... 
arXiv:1806.02788v1 fatcat:mdppfpdcbzfzdfeflexbnjx3xa

RED-CNN: The Multi-Classification Network for Pulmonary Diseases

San-Li Yi, Sheng-Lin Qin, Fu-Rong She, Tian-Wei Wang
2022 Electronics  
Deep learning is a convenient method for doctors to classify pulmonary diseases such as COVID-19, viral pneumonia, bacterial pneumonia, and tuberculosis. However, such a task requires a dataset including samples of all these diseases and a more effective network to capture the features of images accurately. In this paper, we propose a five-classification pulmonary disease model, including the pre-processing of input data, feature extraction, and classifier. The main points of this model are as
more » ... ollows. Firstly, we present a new network named RED-CNN which is based on CNN architecture and constructed using the RED block. The RED block is composed of the Res2Net module, ECA module, and Double BlazeBlock module, which are capable of extracting more detailed information, providing cross-channel information, and enhancing the extraction of global information with strong feature extraction capability. Secondly, by merging two selected datasets, the Curated Chest X-Ray Image Dataset for COVID-19 and the tuberculosis (TB) chest X-ray database, we constructed a new dataset including five types of data: normal, COVID-19, viral pneumonia, bacterial pneumonia, and tuberculosis. In order to assess the efficiency of the proposed five-classification model, a series of experiments based on the new dataset were carried out and based on 5-fold cross validation, and the results of the accuracy, precision, recall, F1 value, and Jaccard scores of the proposed method were 91.796%, 92.062%, 91.796%, 91.892%, and 86.176%, respectively. Our proposed algorithm performs better than other classification algorithms.
doi:10.3390/electronics11182896 fatcat:32ilqvqcivhjbp4kgvrwb6eaaq

Formation of conductive polyaniline nanoarrays from block copolymer template via electroplating

Ming-Shiuan She, Rong-Ming Ho
2012 Polymer  
Nanostructured thin films have drawn extensive attention because of their unique properties resulting from nanoscale features. One of the convenient ways to generate nanostructured thin films is to use pattern with nanoscale texture as a template for the reactions carrying out within the template. In this study, nanoporous thin film template was obtained from the self-assembly of degradable block copolymer, polystyrene-b-poly(L-lactide) (PS-PLLA) with PLLA cylinder nanostructure, at which the
more » ... LA block can be hydrolyzed to form the nanopatterns with cylinder nanopores on conductive substrate (i.e., ITO substrate). The nanoporous PS thin film template was stabilized by modification of substrate using hydroxyl terminated PS so as to enhance the adhesion with substrate for following electroplating process. Combining a pulse electroplating method with the control of micro current, polyanilines can be successfully synthesized within the template to fabricate well-defined of conductive polymer nanoarrays.
doi:10.1016/j.polymer.2012.04.031 fatcat:hkavzolcwjcbpfjbvoybxn6qkm

Image reconstruction from phased-array MRI data based on multichannel blind deconvolution

Huajun She, Rong-Rong Chen, Dong Liang, Yuchou Chang, Leslie Ying
2010 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro  
In this paper we consider image reconstruction from multichannel phased array MRI data without prior knowledge of the coil sensitivity functions. A new framework based on multichannel blind deconvolution (MBD) is developed for joint estimation of the image function and the sensitivity functions in k-space. By exploiting the smoothness of the estimated functions in the spatial domain, we develop a regularization approach in conjunction with MBD to obtain good reconstruction of the image
more » ... Experimental results using simulated and real data demonstrate that the proposed reconstruction algorithm can better removes the sensitivity weighting in the reconstructed images compared to the sum-of-squares (SoS) approach.
doi:10.1109/isbi.2010.5490063 dblp:conf/isbi/SheCLCY10 fatcat:b4ptu7sumveltfhaylfhewuhlu

Segmentation of Retinal Blood Vessels Based on Cake Filter

Xi-Rong Bao, Xin Ge, Li-Huang She, Shi Zhang
2015 BioMed Research International  
Segmentation of retinal blood vessels is significant to diagnosis and evaluation of ocular diseases like glaucoma and systemic diseases such as diabetes and hypertension. The retinal blood vessel segmentation for small and low contrast vessels is still a challenging problem. To solve this problem, a new method based on cake filter is proposed. Firstly, a quadrature filter band called cake filter band is made up in Fourier field. Then the real component fusion is used to separate the blood
more » ... from the background. Finally, the blood vessel network is got by a self-adaption threshold. The experiments implemented on the STARE database indicate that the new method has a better performance than the traditional ones on the small vessels extraction, average accuracy rate, and true and false positive rate.
doi:10.1155/2015/137024 pmid:26636095 pmcid:PMC4655269 fatcat:t3khd6uxnrhqxboy2johiwhhkm

Pushing Feature Selection ahead of Join [chapter]

Rong She, Ke Wang, Yabo Xu, Philip S. Yu
2005 Proceedings of the 2005 SIAM International Conference on Data Mining  
1 Current approaches for feature selection on multiple data sources need to join all data in order to evaluate features against the class label, thus are not scalable and involve unnecessary information leakage. In this paper, we present a way of performing feature selection through class propagation, eliminating the need of join before feature selection. We propagate a very compact data structure that provides enough information for selecting features to each data source, thus allowing
more » ... to be evaluated locally without looking at any other information. Our experiments confirmed that our algorithm is highly scalable while effectively preserving the data privacy.
doi:10.1137/1.9781611972757.56 dblp:conf/sdm/SheWXY05 fatcat:vbz776xk2fhhxpptbrbvl6y5fi

A semi-algebraic approach for asymptotic stability analysis

Zhikun She, Bican Xia, Rong Xiao, Zhiming Zheng
2009 Nonlinear Analysis. Hybrid Systems  
This paper deals with the problem of computing Lyapunov functions for asymptotic stability analysis of autonomous polynomial systems of differential equations. We propose a new semi-algebraic approach by making advantage of the local property of the Lyapunov function as well as its derivative. This is done by first constructing a semi-algebraic system and then solving this semi-algebraic system in an adaptive way. Experiment results show that our semi-algebraic approach is more efficient in practice, especially for low-order systems.
doi:10.1016/j.nahs.2009.04.010 fatcat:rjbgduhbm5eofclpjosvjtklg4

Estrogen Supplementation to Progesterone as Luteal Phase Support in Patients Undergoing In Vitro Fertilization

Xiao-Mei Zhang, Fang Lv, Pin Wang, Xia-Man Huang, Kai-Feng Liu, Yu Pan, Nai-Jun Dong, Yu-Rong Ji, Hong She, Rong Hu
2015 Medicine  
Meta-analyses have found conflicting results with respect to the use of progesterone or progesterone plus estrogen as luteal phase support for in vitro fertilization (IVF) protocols involving gonadotropins and/or gonadotropin-releasing hormone analogs. The aim of the present study was to perform an updated meta-analysis on the efficacy of progesterone versus progesterone plus estrogen as luteal phase support. We searched the MEDLINE, Cochrane Library, and Google Scholar databases (up to March
more » ... , 2014). The search terms were (estrogen OR estradiol OR oestradiol) AND (progesterone) AND (IVF OR in vitro fertilization) AND (randomized OR prospective). We did not limit the form of estrogen and included subjects who contributed more than 1 cycle to a study. The primary outcome was clinical pregnancy rate. Secondary outcomes were ongoing pregnancy rate, fertilization rate, implantation rate, and miscarriage rate. A total of 11 articles were included in the present analysis, with variable numbers of studies assessing each outcome measure. Results of statistical analyses indicated that progesterone plus estrogen treatment was more likely to result in clinical pregnancy than progesterone alone (pooled odds ratio 1.617, 95% confidence interval 1.059-2.471; P ¼ 0.026). No significant difference between the 2 treatment regimens was found for the other outcome measures. Progesterone plus estrogen for luteal phase support is associated with a higher clinical pregnancy rate than progesterone alone in women undergoing IVF, but other outcomes such as ongoing pregnancy rate, fertilization rate, implantation rate, and miscarriage rate are the same for both treatments. (Medicine 94(8):e459) Abbreviations: CI = confidence interval, E = estrogen, GnRH = gonadotropin-releasing hormone, IVF = in vitro fertilization, LPS = luteal phase support, OR = odds ratio, P = progesterone. Editor: Marco Alves.
doi:10.1097/md.0000000000000459 pmid:25715250 pmcid:PMC4554142 fatcat:jcp4yingp5hd5jwb2ez6erpocm

Computing Join Aggregates Over Private Tables

Rong She, Ke Want, Ada Waichee Fu, Xu Yabo
2008 International Journal of Data Warehousing and Mining  
For example, from <d,c,70> and <c,100>, where d is a disease and c is a DNA characteristic, it can be learnt that if a patient has the DNA characteristic c, he/she has the disease d with a 70% chance.  ... 
doi:10.4018/jdwm.2008100102 fatcat:f646ynz4zvcpnjrttt7ftbrkxe

Diabetic Retinopathy Diagnosis Based on RA-EfficientNet

San-Li Yi, Xue-Lian Yang, Tian-Wei Wang, Fu-Rong She, Xin Xiong, Jian-Feng He
2021 Applied Sciences  
The early detection and grade diagnosis of diabetic retinopathy (DR) are very important for the avoidance of blindness, and using deep learning methods to automatically diagnose DR has attracted great attention. However, the small amount of DR data limits its application. To automatically learn the disease's features and detect DR more accurately, we constructed a DR grade diagnostic model. To realize the model, the authors performed the following steps: firstly, we preprocess the DR images to
more » ... olve the existing problems in an APTOS 2019 dataset, such as size difference, information redundancy and the data imbalance. Secondly, to extract more valid image features, a new network named RA-EfficientNet is proposed, in which a residual attention (RA) block is added to EfficientNet to extract more features and to solve the problem of small differences between lesions. EfficientNet has been previously trained on the ImageNet dataset, based on transfer learning technology, to overcome the small sample size problem of DR. Lastly, based on the extracted features, two classifiers are designed, one is a 2-grade classifier and the other a 5-grade classifier. The 2-grade classifier can diagnose DR, and the 5-grade classifier provides 5 grades of diagnosis for DR, as follows: 0 for No DR, 1 for mild DR, 2 for moderate, 3 for severe and 4 for proliferative DR. Experiments show that our proposed RA-EfficientNet can achieve better performance, with an accuracy value of 98.36% and a kappa score of 96.72% in a 2-grade classification and an accuracy value of 93.55% and a kappa score of 91.93% in a 5-grade classification. The results indicate that the proposed model effectively improves DR detection efficiency and resolves the existing limitation of manual feature extraction.
doi:10.3390/app112211035 fatcat:ju3a3vwjrvduxkaavjqct6u5ke

Effect of Puerarin on EBI after SAH

Xiangwu ZENG, Xiuzhen XU, Jianlong KONG, Congxue RONG, Jianhu SHE, Wanliang GUO, Lijuan SHI, Dianfan ZHAO
2021 Food Science and Technology  
Objective: The neuroinflammatory reaction activated after the activation of microglia plays a critical role in the pathological mechanism of early brain injury after subarachnoid hemorrhage. The inhibitory effect of Puerarin on inflammatory response plays a protective effect against various diseases. The present study mainly explored whether Puerarin alleviates the inflammation after SAH by inhibiting the Notchl pathway. Methods: Rat SAH model was induced by internal carotid artery puncture.
more » ... content of brain edema was evaluated and assessed. Evans blue staining was used to detect the degree of blood-brain barrier damage. FJC staining was used to assess neuronal apoptosis. Western blot method was employed to detect the expressions of Notchl receptor and downstream factors to clarify the protective effect and specific mechanism of Puerarin on brain tissue after SAH. Results: Puerarin can attenuate the brain edema and blood-brain barrier damage caused by early brain injury within 72 h after SAH, reduce the contents of Ibal and CD68 positive microglia. Intraventricular injection of Notchl receptor blockers and Notchl siRNA can inhibit the activation of Notchl pathway after SAH, mitigate brain tissue edema, blood-brain barrier damage, and neuronal apoptosis, as well as inhibit the activation of microglia and the release of inflammatory factors. Puerarin can inhibit the activation of Notchl receptor and downstream pathways, and simultaneously increase the content of Botch in brain tissue. Conclusion: Puerarin can inhibit the activation of Notchl receptor through Botch factor, thereby inhibiting the neuroinflammatory reaction mediated by Notchl pathway, and finally improve the early neurological dysfunction after SAH.
doi:10.1590/fst.45021 fatcat:wsdbrqokifhc7iuicz6ulgc3ba
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