| 3 | Terahertz Generation Using Implanted InGaAs Photomixers and Multi-wavelength Quantum Dot Lasers显示文摘We report on a study of terahertz(THz) generation using implanted In Ga As photomixers and multi-wavelength quantum dot lasers. We carry out In Ga As materials growth, optical characterization, device design and fabrication, and photomixing experiments. This approach is capable of generating a comb of electromagnetic radiation from microwave to terahertz. For shortening photomixer carrier lifetime, we employ proton implantation into an epitaxial layer of lattice matched In Ga As grown on InP. Under a 1.55 μm multimode In GaAs/In GaAsP quantum dot laser excitation, a frequency comb with a constant frequency spacing of 50 GHz generated on the photomixer is measured, which corresponds to the beats of the laser longitudinal modes. The measurement is performed with a Fourier transform infrared spectrometer. This approach affords a convenient method to achieve a broadband multi-peak coherent THz source. | Y.Hou J.R.Liu M.Buchanan A.J.Spring Thorpe P.J.Poole H.C.Liu Ke Wu Sjoerd Roorda X.P.Zhang | 2012 | Nano-Micro Letters2012，4，1： | 1 |
| 7 | Performance of the Enhanced Liver Fibrosis Score,Comparison with Vibration-controlled Transient Elastography Data,and Development of a Simple Algorithm to Predict Significant Liver Fibrosis in a Community-based Liver Service:A Retrospective Evaluation显示文摘Background and Aims:Liver fibrosis is a key risk factor for cirrhosis,hepatocellular carcinoma and end stage liver failure.The National Institute for Health and Care Excellence guidelines for assessment for advanced(≥F3)liver fibrosis in people with nonalcoholic fatty liver disease recommend the use of enhanced liver fibrosis(ELF)test,followed by vibration-controlled transient elastography(VCTE).Performance of ELF at predicting significant(≥F2)fibrosis in real-world practice is uncertain.To assess the accuracy of ELF using VCTE;investigate the optimum ELF cutoff value to identify≥F2and≥F3;and develop a simple algorithm,with and without ELF score,for detecting≥F2.Methods:Retrospective evaluation of patients referred to a Community Liver Service for VCTE,Jan-Dec 2020.Assessment included:body mass index(BMI),diabetes status,alanine aminotransferase(ALT)levels,ELF score and biopsy-validated fibrosis stages according to VCTE.Results:Data from 273 patients were available.n=110 patients had diabetes.ELF showed fair performance for≥F2 and≥F3,area under the curve(AUC)=0.70,95%confidence interval(CI)0.64-0.76 and AUC=0.72,95%CI:0.65-0.79 respectively.For≥F2 Youden's index for ELF=9.85 and for≥F3,ELF=9.95.Combining ALT,BMI,and HbA1c(ALBA algorithm)to predict≥F2 showed good performance(AUC=0.80,95%CI:0.69-0.92),adding ALBA to ELF improved performance(AUC=0.82,95%CI:0.77-0.88).Results were independently validated.Conclusions:Optimal ELF cutoff for≥F2 is 9.85 and 9.95 for≥F3.ALT,BMI,and HbA1c(ALBA algorithm)can stratify patients at risk of≥F2.ELFperformance is improved by adding ALBA. | Tina Reinson Janisha Patel Mead Mathews Derek Fountain Ryan M.Buchanan Christopher DByrne | 2023 | Journal of Clinical and Translational Hepatology2023，11，4： | 0 |
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