We consider the one-person game of peg solitaire played on a computer. Two popular board shapes are the 33-hole cross-shaped board, and the 15-hole triangular board—we use them as examples throughout. The basic game begins from a full board with one peg missing and finishes at a board position with one peg. First, we discuss ways to solve the basic game on a computer. Then we consider the probl...

INTRODUCTION Progressive supranuclear palsy is a relentlessly progressive neurodegenerative disorder and is clinically characterized by parkinsonism. Adipose tissue-derived mesenchymal stem cells have recently demonstrated the possibility of treating neurological disorders. Therefore, autologous adipose tissue-derived mesenchymal stem cells transplantation can be an alternative method for treat...

The timed performances of the 10-m timed walk (TMTW) and the nine-hole peg test (NHPT) of 881 consecutive patients with multiple sclerosis (MS) undergoing a rehabilitation stay, were expressed as a logarithmic function of time in two subscores to form a composite score called the Short and Graphic Ability Score (SaGAS). The subscores (sS) were constructed in such a way that any interval of 0.5 ...

Visual tracking is applicable to many tasks in robotic assembly and inspection, including peg-in-hole insertion , alignment of parts, and gaze control. A fast, robust, hybrid approach to feature tracking is presented. Rotation-compensated normalized cross-correlation is used to handle large rotations. Adaptive templates allow for some changes in lighting and background. The tracking system runs...

C-reactive protein (CRP) is an acute phase reactant the concentration of which increases significantly following tissue injury or inflammation. It is present in the albumin fraction of the serum of patients and is antigenic upon injection into rabbits. We report here the development of a local latex reagent coated with rabbit anti-CRP. For this purpose CRP was isolated from pooled sera of patie...

A peg-in-hole insertion task is used as an example to illustrate the utility of direct associative reinforcement learning methods for learning control under real-world conditions of uncertainty and noise. Task complexity due to the use of an unchamfered hole and a clearance of less than 0.2mm is compounded by the presence of positional uncertainty of magnitude exceeding 10 to 50 times the clear...