A large number of works in egocentric vision have concentrated on action and object recognition. Detection and segmentation of hands in first person videos, however, has less been explored. For many applications in this domain, it is necessary to accurately segment not only hands of the camera wearer but also the hands of others with whom he is interacting. Here, we take an in-depth look at the...

Aims. This study aimed to assess whether the electrochemical skin conductance (ESC) could be used to screen for diabetic cardiac autonomic neuropathy (DCAN) in a Chinese population with diabetes. Methods. We recruited 75 patients with type 2 diabetes mellitus (T2DM) and 45 controls without diabetes. DCAN was diagnosed by the cardiovascular autonomic reflex tests (CARTs) as gold standard. In all...

The CGD proposal for discussion, “Cash on Delivery Aid for Education: A Hands-Off Approach,” outlines a mechanism for aid to national governments (or fiscal transfers to state or local governments) that rewards ex post the incremental progress in schooling outcomes. Because the objective is to use aid to improve recipient country institutional capacity to deliver education, the proposed approac...

Abstract In this survey paper, we review recent advances of compressed sensing applied to systems and control. Compressed has been actively researched in the field signal processing machine learning. More recently, method control problems, such as sparse feedback gain design, reduced-order control, maximum hands-off This paper introduces these important applications MATLAB programs for numerica...

Robot-assisted partial nephrectomy (RAPN) has been established as a viable alternative to open and laparoscopic partial nephrectomy for small renal tumors. Multiple variations in surgical technique have been described to reduce warm ischemia time (WIT). We present our off-clamp technique for RAPN. From August 2007 to January 2012, off-clamp RAPN was performed on 47 tumors in 39 patients. WIT wa...