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您的检索式：作者名="Junyu Long"
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| 1 | Downstaging and resection of hepatocellular carcinoma in patients with extrahepatic metastases after stereotactic therapy显示文摘Background:A combination of tyrosine kinase inhibitors(TKIs)and anti-PD-1 antibodies with local regional therapy has elicited yield substantial clinical benefits in patients who have hepatocellular carcinoma(HCC)with extrahepatic metastases.Using this treatment strategy to convert HCC patients with extrahepatic metastases from unresectable to resectable has not yet been reported.Methods:Consecutive hepatocellular carcinoma patients with extrahepatic metastases who received first-line therapy with a combination of TKIs and anti-PD-1 antibodies and at least one local regional therapy were analysed.Results:Nine patients with localized disease who received first-line systemic therapy were enrolled.At baseline,all of them had oligometastatic disease,namely,Barcelona Clinic Liver Cancer stage C(or Chinese Liver Cancer stage IIIB).The most common treatment administered was lenvatinib plus anti-PD-1 antibody and transarterial chemoembolization,and the median time span from systemic therapy to surgery was 3.2(IQR,2.8-6.2)months.Three patients achieved a pathological complete response.Six patients underwent laparoscopic surgery,and the other 3 patients underwent open surgery.After a median follow-up of 10.2(IQR,8.6-20.0)months,7 patients survived without disease recurrence,and 2 experienced tumour recurrence.All patients had any-grade AEs,and 55.6%of the patients experienced grade 3 AEs.Fatigue was the most common AE,followed by elevated aminotransferase levels and hypertension.Conclusions:Stereotactic therapy is a feasible conversion therapy for HCC patients with extrahepatic metastases to become resectable.This is the first study to analyse therapeutic outcomes of patients receiving these therapies for HCC with extrahepatic metastases. | Xiaobo Yang Haifeng Xu Bangyou Zuo Xu Yang Jin Bian Junyu Long Dongxu Wang Junwei Zhang Cong Ning Yanyu Wang Ziyu Xun Yunchao Wang Xin Lu Yilei Mao Xinting Sang Haitao Zhao | 2021 | Hepatobiliary Surgery and Nutrition2021，10，4： | 17 |
| 2 | Achieving a sub-10 nm nanopore array in silicon by metal-assisted chemical etching and machine learning显示文摘Solid-state nanopores with controllable pore size and morphology have huge application potential.However,it has been very challenging to process sub-10 nm silicon nanopore arrays with high efficiency and high quality at low cost.In this study,a method combining metal-assisted chemical etching and machine learning is proposed to fabricate sub-10 nm nanopore arrays on silicon wafers with various dopant types and concentrations.Through a SVM algorithm,the relationship between the nanopore structures and the fabrication conditions,including the etching solution,etching time,dopant type,and concentration,was modeled and experimentally verified.Based on this,a processing parameter window for generating regular nanopore arrays on silicon wafers with variable doping types and concentrations was obtained.The proposed machine-learning-assisted etching method will provide a feasible and economical way to process high-quality silicon nanopores,nanostructures,and devices. | Yun Chen Yanhui Chen Junyu Long Dachuang Shi Xin Chen Maoxiang Hou Jian Gao Huilong Liu Yunbo He Bi Fan Ching-Ping Wong Ni Zhao | 2021 | International Journal of Extreme Manufacturing2021，3，3： | 2 |
| 3 | Hybrid Optimization-Based GRU Neural Network for Software Reliability Prediction显示文摘Aiming at the problems of low prediction accuracy and weak generalization ability of current reliability prediction models,this paper proposes a hybrid multi-layer heterogeneous particle swarm optimization algorithm(HMHPSO)that can simultaneously optimize the structure and parameters of the GRU neural network.It first introduced a multi-layer heteromass particle swarm optimization(MHPSO)algorithm,which sets the population topology as a hierarchical structure and introduces the concept of attractors,so as to improve the update formula of particle speed,and enhance the information interaction ability between particles,increase the diversity of the groups,thereby improving the optimization ability of the algorithm.Then the HMHPSO used the quantum particle swarm optimization(QPSO)algorithm to determine the structure of the GRU,that is,the number of hidden nodes.Experimental results show that the algorithm can generate GRU neural networks with high generalization performance and low architecture complexity,and has better prediction accuracy in software reliability prediction. | Maochuan Wu Junyu Lin Shouchuang Shi Long Ren Zhiwen Wang | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
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