Real-world efficacy of direct acting antiviral therapies in patients with HIV/HCV

The advent of direct-acting antiviral (DAA) therapies has dramatically transformed HCV treatment, with most recent trials demonstrating high efficacy rates (>90%) across all genotypes and special populations, including patients with HIV/HCV coinfection. The efficacy rates of HCV treatment are nearly identical between patients with HCV monofection and patients with HIV/HCV coinfection; however, there are limited studies to compare real-world efficacy with efficacy observed in clinical trials. Using a database from HIV clinics across the United States (US), we identified 432 patients with HIV/HCV coinfection who completed DAA therapy from January 1, 2014 to March 31, 2017 and were assessed for efficacy. Efficacy was evaluated as sustained virologic response (SVR) 12 weeks after DAA completion; furthermore, factors associated with achieving SVR12 were identified. In this analysis, we found DAA therapies to be effective, with 94% of the patients achieving SVR12 and 6% experiencing virologic failure. Baseline variables, including older age, HCV viral load <800K IU/ML, FIB-4 score <1.45, absence of depression, diabetes, substance abuse, and use of DAA regimens without ribavirin were significant predictors of achieving SVR12. Patients with fewer comorbidities, better liver health, and lower HCV viral loads at baseline were more likely to achieve treatment success. Our results were consistent with other real-world studies, supporting the use of HCV therapy in HIV/HCV coinfected patients

A Study of Ontology-based Fault Detection and Diagnostic System for Wind Turbine

本研究以知識本體為基礎建立風力發電機的故障診斷系統。風力發電為世界各國近來發展可再生能源中的重點項目之一，然而目前台灣風力發電的發展尚屬起步階段，對於風力發電機的設計和監測系統的研究還有相當多的發展空間。因此本研究希望將監測所得的資訊與可能發生的元件故障情形作整合，開發一個提供故障診斷資訊的網路平臺。 由於網際網路的發展日新月異，新的技術逐漸取代一般的純文字網頁和資料庫。語意網(Semantic Web)從現有的網路架構延伸，提出許多新的方法和技術，本研究使用語意網的知識本體語言(Ontology Web Language)來建立風力發電機的領域知識。透過知識本體將故障的類型與訊號整合，且利用IEC61400-25的標準來建立風力發電機元件的分類。當故障發生時，本平臺提供風力發電機的技術人員可能故障的元件資訊，以協助風力發電機的正常運作