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您的检索式：作者名="Shah Hongwei"
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| 1 | A reversed CD4/CD8 ratio of tumor-infiltrating lymphocytes and a high percentage of CD4^(+)FOXP3^(+) regulatory T cells are significantly associated with clinical outcome in squamous cell carcinoma of the cervix显示文摘In this study,40 biopsy samples collected from cervical cancer patients at the First Affiliated Hospital of Xi’an Jiaotong University,China,were retrospectively assessed using immunohistochemistry for CD4^(+) and CD8^(+) tumor-infiltrating lymphocytes(TILs)and were analyzed for the expression of FOXP3,OX40,granzyme B(GrB)and perforin(Prf).The proliferating index of the TILs was determined by assessing Ki67 expression.We determined the prognostic value of low and high numbers of TILs on survival by performing Kaplan–Meier analysis using median values as the cut-off points.Except for the number of CD4^(+)FOXP3^(+) regulatory T cells(Tregs)and the CD4/CD8 ratio,none of the CD4^(+),CD8^(+),OX401,GrB^(+) or Prf^(+) TILs were associated with the overall 5-year survival rate.The 5-year survival rate was significantly lower in patients who had a high percentage of Tregs as compared with the those who had a lower percentage(35.3%versus 88.9%,P50.001),while the 5-year survival rate was significantly higher in patients with a high CD4/CD8 ratio as compared with patients who had a low CD4/CD8 ratio(82.4%versus 44.4%,P50.029).When we considered the deaths and surviving cases as separate groups,we found that both the number of CD4^(+) T cells and the CD4/CD8 ratio were significantly lower in patients who died as compared with those who survived(26.33±11.80 versus 47.79±38.18,P=0.023 and 0.60±0.25 versus 1.17±1.02,P=0.019,respectively).In conclusion,decreased proportions of tumor-infiltrating CD4^(+) T cells with high percentages of Tregs and reversed CD4/CD8 ratios were significantly associated with the clinical outcome of patients with cervical carcinoma. | Walayat Shah Xiaofei Yan Li Jing Yi Zhou Hongwei Chen Yili Wang | 2011 | Cellular & Molecular Immunology2011，8，1： | 24 |
| 2 | The prevalence of human papillomavirus type 58 in Chinese patients with cervical carcinoma and its influence on survival 显示文摘 | SHAH W HONGWEI C JIN Z | 2009 | Clin Oncol ( R Coll Radiol)2009，21，10： | 1 |
| 3 | The steel box girder design of Taizhou Bridge based on finite element methods 显示文摘 | Zheng Benhui Shah Hongwei Zhou Qing | 2009 | Journal of Highway and Transportation Research and Development2009，，2： | 1 |
| 4 | A Quantum Spatial Graph Convolutional Network for Text Classification显示文摘The data generated from non-Euclidean domains and its graphical representation(with complex-relationship object interdependence)applications has observed an exponential growth.The sophistication of graph data has posed consequential obstacles to the existing machine learning algorithms.In this study,we have considered a revamped version of a semi-supervised learning algorithm for graph-structured data to address the issue of expanding deep learning approaches to represent the graph data.Additionally,the quantum information theory has been applied through Graph Neural Networks(GNNs)to generate Riemannian metrics in closed-form of several graph layers.In further,to pre-process the adjacency matrix of graphs,a new formulation is established to incorporate high order proximities.The proposed scheme has shown outstanding improvements to overcome the deficiencies in Graph Convolutional Network(GCN),particularly,the information loss and imprecise information representation with acceptable computational overhead.Moreover,the proposed Quantum Graph Convolutional Network(QGCN)has significantly strengthened the GCN on semi-supervised node classification tasks.In parallel,it expands the generalization process with a significant difference by making small random perturbationsG of the graph during the training process.The evaluation results are provided on three benchmark datasets,including Citeseer,Cora,and PubMed,that distinctly delineate the superiority of the proposed model in terms of computational accuracy against state-of-the-art GCN and three other methods based on the same algorithms in the existing literature. | Syed Mustajar Ahmad Shah Hongwei Ge Sami Ahmed Haider Muhammad Irshad Sohail M.Noman Jehangir Arshad Asfandeyar Ahmad Talha Younas | 2021 | Computer Systems Science & Engineering2021，36，2： | 0 |
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