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Polymer/silica hybrid waveguide Y-branch power splitter with loss compensation based on NaYF4:Er3+, Yb3+ nanocrystals 被引量:2
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作者 yue-wu fu Tong-He Sun +3 位作者 Mei-Ling Zhang Xu-Cheng Zhang Fei Wang Da-Ming Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2019年第10期354-359,共6页
A polymer waveguide Y-branch power splitter with loss compensation is proposed based on NaYF4:Er^3+, Yb^3+ nanocrystals prepared by a high temperature thermal decomposition method. The Y-branch power splitter is desig... A polymer waveguide Y-branch power splitter with loss compensation is proposed based on NaYF4:Er^3+, Yb^3+ nanocrystals prepared by a high temperature thermal decomposition method. The Y-branch power splitter is designed as a structure of embedded waveguide, and its core material is nanocrystals-doped SU-8. The insertion loss of the device is ~ 15 dB. For an input signal power of 0.05 mW and a pump power of 267.7 mW, the two branches with 5.81-dB and5.41-dB loss compensations at 1530 nm are achieved respectively. A polymer waveguide Y-branch power splitter with loss compensation has an important research significance. 展开更多
关键词 polymer NaYF4:Er Yb LOSS COMPENSATION
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A novel robust nomogram based on peripheral monocyte counts for predicting lymph node metastasis of prostate cancer 被引量:4
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作者 Jia-Wei Zhou Yun-Hua Mao +13 位作者 Yang Liu Hai-Tao Liang Chandni Chandur Samtani yue-wu fu Yun-Lin Ye Gang Xiao Zi-Ke Qin Cun-Dong Liu Jian-Kun Yang Qi-Zhao Zhou Wen-Bin Guo Kang-Yi Xue Shan-Chao Zhao Ming-Kun Chen 《Asian Journal of Andrology》 SCIE CAS CSCD 2021年第4期409-414,共6页
Accurate methods for identifying pelvic lymph node metastasis(LNM)of prostate cancer(PCa)prior to surgery are still lacking.We aimed to investigate the predictive value of peripheral monocyte count(PMC)for LNM of PCa ... Accurate methods for identifying pelvic lymph node metastasis(LNM)of prostate cancer(PCa)prior to surgery are still lacking.We aimed to investigate the predictive value of peripheral monocyte count(PMC)for LNM of PCa in this study.Two hundred and ninety-eight patients from three centers were divided into a training set(n=125)and a validation set(n=173).In the training set,the independent predictors of LNM were analyzed using univariate and multivariate logistic regression analyses,and the optimal cutoff value was calculated by the receiver operating characteristic(ROC)curve.The sensitivity and specificity of the optimal cutoff were authenticated in the validation cohort.Finally,a nomogram based on the PMC was constructed for predicting LNM.Multivariate analyses of the training cohort demonstrated that clinical T stage,preoperative Gleason score,and PMC were independent risk factors for LNM.The subsequent ROC analysis showed that the optimal cutoff value of PMC for diagnosing LNM was 0.405×10^(9)l^(−1)with a sensitivity of 60.0%and a specificity of 67.8%.In the validation set,the optimal cutoff value showed significantly higher sensitivity than that of conventional magnetic resonance imaging(MRI)(0.619 vs 0.238,P<0.001).The nomogram involving PMC,free prostate-specific antigen(fPSA),clinical T stage,preoperative Gleason score,and monocyte-to-lymphocyte ratio(MLR)was generated,which showed a robust predictive capacity for predicting LNM before the operation.Our results indicated that PMC as a single agent,or combined with other clinical parameters,showed a robust predictive capacity for LNM in PCa.It can be employed as a complementary factor for the decision of whether to conduct pelvic lymph node dissection. 展开更多
关键词 Iymph node metastasis magnetic resonance imaging MONOCYTE NOMOGRAM prostate cancer
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