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—This paper presents an equivalence between feasible kinodynamic planning and optimal kinodynamic planning, in that any optimal planning problem can be transformed into a series of feasible planning problems in a state-cost space whose solutions approach the optimum. This transformation gives rise to a meta-algorithm that produces an asymptotically optimal(More)
BACKGROUND Patients with end-stage renal disease are known to have insulin resistance and advanced arterial stiffness. The present study was undertaken to investigate whether insulin resistance was correlated with carotid arterial stiffness in hemodialysis patients. METHODS Eighty nondiabetic hemodialysis patients were recruited. Stiffness index beta of(More)
Pentosidine is an advanced glycation end product (AGE). The present study was undertaken to investigate the association of serum pentosidine with carotid distensibility as a measure of arterial stiffness in hemodialysis patients. One hundred and three patients on maintenance hemodialysis were recruited. The distensibility coefficient of the common carotid(More)
This paper presents an equivalence between feasible kinodynamic planning and optimal kinodynamic planning, in that any optimal planning problem can be transformed into a series of feasible planning problems in a state-cost space, whose solutions approach the optimum. This transformation yields a meta-algorithm that produces an asymptotically optimal(More)
To enhance the experience of a home network user, priori-tization of network traffic is important. Previous solutions to this problem assigned priorities in a static manner. Even though there has been some efforts to assign priorities dynamically , these solutions only used interactivity of applications to prioritize traffic. We present Contextual Router,(More)
AIM For years, bioelectrical impedance analysis has been widely used to evaluate the hydration status in dialysis patients. However, its value in assessment and controlling the hydration status in non-dialysis patients with kidney disease, such as nephrotic syndrome, is little mentioned. Because a simple and accurate method to evaluate the hydration status(More)
We present a framework for representing scenarios with complex object interactions, in which a robot cannot directly interact with the object it wishes to control, but must instead do so via intermediate objects. For example, a robot learning to drive a car can only indirectly change its pose, by rotating the steering wheel. We formalize such complex(More)
BACKGROUND AND PURPOSE Patients with chronic kidney disease (CKD) are at a particularly high risk for ischemic and bleeding events. Limited data exist as to the efficacy and safety of clopidogrel in stroke patients with renal dysfunction. Therefore, we sought to assess the impact of decreased kidney function on clinical outcomes for stroke patients on(More)
BACKGROUND It has been argued that the benefits of reducing sodium loading may be offset by increased activation of the renin-angiotensin-aldosterone system (RAAS) and sympathetic nervous system. This study aimed to investigate the long-term effects of an increase in dialysis sodium removal on circulating RAAS and sympathetic system in hypertensive(More)
— Convolutional neural networks (CNN) are a deep learning technique that has achieved state-of-the-art prediction performance in computer vision and robotics, but assume the input data can be formatted as an image or video (e.g. predicting a robot grasping location given RGB-D image input). This paper considers the problem of augmenting a traditional CNN(More)