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
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
基金Project supported by the Science and Technology Innovation Development Plan of Jilin City,China(Grant No.201830793)the Science and Technology Development Plan of Jilin Province,China(Grant No.20190302010GX)
文摘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.
基金This study was supported by the National Natural Science Foundation of China(NSFC 81602248)the Natural Science Foundation of Guangdong Province(No.2017A030313686)to MKC.
文摘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.