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Wen J.,Sun Yat Sen University | Wen J.,Guangdong Esophageal Cancer Institute | Luo K.,Sun Yat Sen University | Luo K.,Guangdong Esophageal Cancer Institute | And 28 more authors.
Annals of Surgery | Year: 2016

Objective: To identify miRNA markers useful for esophageal squamous cell carcinoma (ESCC) neoadjuvant chemoradiotherapy (neo-CRT) response prediction. Summary: Neo-CRT followed by surgery improves ESCC patients' survival compared with surgery alone. However, CRT outcomes are heterogeneous, and no current methods can predict CRT responses. Methods: Differentially expressed miRNAs between ESCC pathological responders and nonresponders after neo-CRTwere identified by miRNA profiling and verified by real-time quantitative polymerase chain reaction (qPCR) of 27 ESCCs in the training set. Several class prediction algorithms were used to build the response-classifying models with the qPCR data. Predictive powers of the models were further assessed with a second set of 79 ESCCs. Results: Ten miRNAs with greater than a 1.5-fold change between pathological responders and nonresponders were identified and verified, respectively. A support vector machine (SVM) prediction model, composed of 4 miRNAs (miR-145-5p, miR-152, miR-193b-3p, and miR-376a-3p), were developed. It provided overall accuracies of 100% and 87.3% for discriminating pathological responders and nonresponders in the training and external validation sets, respectively. In multivariate analysis, the subgroup determined by the SVM model was the only independent factor significantly associated with neo-CRT response in the external validation sets. Conclusions: Combined qPCR of the 4 miRNAs provides the possibility of ESCC neo-CRT response prediction, which may facilitate individualized ESCC treatment. Further prospective validation in larger independent cohorts is necessary to fully assess its predictive power. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. Source

Chen W.,Hefei University of Technology | Peng L.,Guangzhou Haige Communications Group Incorporated Company | Ma Y.,Hefei University of Technology | Wang S.,Hefei University of Technology | And 2 more authors.
Applied Mechanics and Materials | Year: 2012

In order to get high quality forgings, it is significant to predict the microstructure evolution during hot forging process accurately. In this study, a simulation model is built by combining FEM with the dynamic recrystallization model of 42CrMo, and the finite element model is proved to be reliable by a serial of upsetting deformation experiment. Then the distributions of microstructure evolution are obtained on upsetting process. Upsetting is beneficial to refine the grain size and drawing can make the distribution of grain size homogeneous. By comparing the simulation results with experiments, the distributions of microstructure are a close match in the middle part of steering arm. The forgings formed by this process have a good microstructure and have high comprehensive mechanical properties. © (2012) Trans Tech Publications, Switzerland. Source

Yang D.,Hefei University of Technology | Chen W.,Hefei University of Technology | Zhou R.,Hefei University of Technology | Wang S.,Chengdu Aircraft Industrial Co. | And 3 more authors.
Applied Mechanics and Materials | Year: 2012

Different process steps of the workpiece have different effects on the microstructure in the multi-stage forging. In this study, the effect of four different process steps of steering arm on microstructure was studied by FEM. Results have showed that upsetting is beneficial to refine the microstructure as well as finish forging. Especially drawing can make the distribution of microstructure homogeneous while bending has less effect on it. The already-designed forging process for steering arm was reasonable based on the simulation. Eventually, the grain size level of the steering arm was tested as 6.5 based on the conventional standard. © (2012) Trans Tech Publications, Switzerland. Source

Sullivan D.,University of Central Florida | Biggers J.,University of Central Florida | Zhu G.,Guangzhou Haige Communications Group Incorporated Company | Zhang S.,University of Central Florida | Jin Y.,University of Central Florida
Proceedings - Design Automation Conference | Year: 2014

To address the concern that a complete detection scheme for effective hardware Trojan identication is lacking, we have designed an RTL security metric in order to evalu-ate the quality of IP cores (with the same or similar func-tionality) and counter Trojan attacks at the pre-fabrication stages of the IP design ow. The proposed security metric is constructed on top of two criteria, from which a quantita-tive security value can be assigned to the target circuit: 1) Distribution of controllability; 2) Existence of rare events. The proposed metric, called FIGHT, is an automated tool whereby malicious modications to ICs and/or the vulner-ability of the IP core can be identied, by monitoring both internal node controllability and the corresponding control value distribution plotted as a histogram. Experimentation on an RS232 module was performed to demonstrate our dual security criteria and proved security degradation to the IP module upon hardware Trojan insertion. Copyright 2014 ACM. Source

Wang J.,Guangzhou Haige Communications Group Incorporated Company | Chen Z.,Guangzhou Haige Communications Group Incorporated Company
Lecture Notes in Electrical Engineering | Year: 2015

The paper presents an adaptive position calibration algorithm of antenna arrays basing on the FW algorithm, in which the alternative iteration method is used. Simulation and theory analysis in Matlab shows that the proposed algorithm work well with good resolution. © Springer-Verlag Berlin Heidelberg 2015. Source

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