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BACKGROUND Nonoperative management (NOM) has become the standard treatment of blunt hepatic injury (BHI) for stable patients. Contrast extravasation (CE) on computed tomography (CT) scan had been reported as a sign that is associated with NOM failure. The goal of this study was to further investigate the risk factors of NOM failure in patients with CE on CT(More)
This paper studies the tracking and almost disturbance decoupling problem of nonlinear system based on the feedback linearization and multilayered feedforward neural network approach. The feedback linearization and neural network controller guarantees exponentially global uniform ultimate bounded stability and the almost disturbance decoupling performance(More)
INTRODUCTION Pelvic fractures result in hemodynamic instability in 5% to 20% of patients, and the reported mortality rate is 18% to 40%. Previous studies have reported the application of angioembolization in pelvic fracture patients with a systolic blood pressure (SBP) less than 90 mm Hg, a fluid resuscitation requirement of more than 2000 mL, or a blood(More)
OBJECTIVE To examine the effects of home-based supportive care on improvements in physical function and depressive symptoms in home-dwelling patients after stroke. DATA SOURCES Seven electronic databases (eg, MEDLINE, PubMed, CINAL, EMBASE, the Cochrane Central Register of Controlled Trials, ProQuest, and Google Scholar) and 4 Chinese databases (eg,(More)
This paper studies the tracking and almost disturbance decoupling problem of nonlinear systems with uncertainties, based on the feedback linearization approach. The main contribution of this study is to construct a controller, under appropriate conditions, such that the resulting closed-loop system is valid for any initial condition and bounded tracking(More)
We consider the problem of designing a feedback control law in order to reject the unknown bounded disturbance and achieve tracking of reference inputs in control systems described by a class of nonlinear time-delay differential-algebraic equations. Based on the input-output feedback linearization technique and Lya-punov method for nonlinear state feedback(More)
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