نتایج جستجو برای: sof

تعداد نتایج: 743  

2016
Tania M Welzel Jörg Petersen Kerstin Herzer Peter Ferenci Michael Gschwantler Heiner Wedemeyer Thomas Berg Ulrich Spengler Ola Weiland Marc van der Valk Jürgen Rockstroh Markus Peck-Radosavljevic Yue Zhao Maria Jesus Jimenez-Exposito Stefan Zeuzem

OBJECTIVE We assessed the effectiveness and safety of daclatasvir (DCV) plus sofosbuvir (SOF), with or without ribavirin (RBV), in a large real-world cohort, including patients with advanced liver disease. DESIGN Adults with chronic HCV infection at high risk of decompensation or death within 12 months and with no available treatment options were treated in a European compassionate use progra...

2017
Paula Cox‐North Kelsey L. Hawkins Sean T. Rossiter Marie N. Hawley Renuka Bhattacharya Charles S. Landis

Sofosbuvir (SOF) is a nonstructural 5B polymerase inhibitor with activity in all hepatitis C virus (HCV) genotypes and is the backbone of many anti-HCV drug regimens. SOF is converted into inactive metabolites that undergo renal excretion. Patients with an estimated glomerular filtration rate (eGFR) < 30 mL/minute/1.73 m2 may experience increased drug exposure and thus potential toxicities alon...

2009
Da-Wei Ding Guang-Hong Yang

Abstract—This paper investigates the problem of H∞ static output feedback (SOF) control for discrete-time switched linear systems with average dwell time switching. By using the multiple Lyapunov function technique, a switched SOF controller is designed such that the closed-loop system is exponentially stable and achieves a weighted L2-gain. Sufficient conditions for SOF control are derived and...

2015
Han Zhao Pascal Poupart Yongfeng Zhang Martin Lysy

We propose SoF (Soft-cluster matrix Factorization), a probabilistic clustering algorithm which softly assigns each data point into clusters. Unlike model-based clustering algorithms, SoF does not make assumptions about the data density distribution. Instead, we take an axiomatic approach to define 4 properties that the probability of co-clustered pairs of points should satisfy. Based on the pro...

2017
Daisuke Endo Kenichi Satoh Noritomo Shimada Atsushi Hokari Yoshio Aizawa

AIM To investigate the influence of interferon-free antivirus therapy on lipid profiles in chronic hepatitis C virus genotype 1b (HCV1b) infection. METHODS Interferon-free antiviral agents were used to treat 276 patients with chronic HCV1b infection, and changes in serum lipids of those who achieved sustained virologic response (SVR) were examined. The treatment regimen included 24 wk of dacl...

2017
Phil McEwan Samantha Webster Thomas Ward Michael Brenner Anupama Kalsekar Yong Yuan

BACKGROUND As treatments for chronic hepatitis C are moving away from interferon-containing regimens, the most appropriate allocation of resources to higher cost, interferon-free, direct-acting antiviral (DAA) regimens needs to be assessed. Hepatitis C virus (HCV) genotype 3 is associated with faster disease progression and has fewer treatment options, historically, than other HCV genotypes. Th...

Journal: :Theriogenology 2004
T L Nedambale A Dinnyés W Groen J R Dobrinsky X C Tian X Yang

The objectives of this study were to identify an improved in vitro cell-free embryo culture system and to compare post-warming development of in vitro produced (IVP) bovine embryos following vitrification versus slow freezing. In Experiment 1, non-selected presumptive zygotes were randomly allocated to four medium treatments without co-culture: (1) SOF + 5% FCS for 9 days; (2) KSOM + 0.1% BSA f...

2009
Jiuxiang Dong Guang-Hong Yang

This paper is concerned with the problem of designing robust H∞ static output feedback (SOF) controllers for a class of discrete time nonlinear systems, which are represented by T–S fuzzy models. By considering the properties of system output matrices, a method for H∞ SOF control synthesis is developed in terms of solutions to a set of linear matrix inequalities (LMIs). In contrast to the exist...

2014
Mathieu Senelle Marco Saerens François Fouss

This work introduces a novel way to identify dense regions in a graph based on a mode-seeking clustering technique, relying on the Sum-Over-Forests (SoF) density index [1] (which can easily be computed in closed form through a simple matrix inversion) as a local density estimator. We rst identify the modes of the SoF density in the graph. Then, the nodes of the graph are assigned to the cluster...

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