Development and validation of the Penn State Worry Questionnaire. Behaviour Research and Therapy, 28, 487-495.] for weekly assessment of worry was evaluated in a brief treatment study. Cognitive restructuring techniques were taught to 28 nonclinical high-worriers, 14 of whom served as a control group in a lagged waiting-list design. Results showed that the Penn State Worry Questionnaire-Past We...

People are often egocentric when judging their likelihood of success in competitions, leading to overoptimism about winning when circumstances are generally easy and to overpessimism when the circumstances are difficult. Yet, egocentrism might be grounded in a rational tendency to favor highly reliable information (about the self) more so than less reliable information (about others). A general...

The determination of power using isokinetic testing has been shown to be highly reliable. However, isotonic and isokinetic testing involve specific mechanical constraints that likely necessitate different neuromuscular strategies. Therefore, the purpose here was to establish test-retest intrarater reliability (separated by 7 days) of loaded maximal shortening velocity and velocity-dependent pow...

A modified active contour-based scheme is incorporated in this paper for unsupervised stereoscopic semantic segmentation. The scheme depends on the exploitation of depth information provided by stereo analysis methods. Assuming that a depth segments map is available, for each depth segment an active contour is unsupervisedly initialized on the depth contour. Then the active contour moves toward...

A method of model-based object recognition for a cluttered depth scene including multiple objects is proposed. A novel model representation, named depth aspect image, is also defined as an orientation standardized appearance from the original depth data of objects, which is transformed through tuples of three barycenters defined within regularly defined voxels. A robust matching scheme, named l...

Knowledge on the spatial and temporal distribution of snow depth is one of the key parameter in the assessment of avalanche hazards, for snow drift and avalanche modelling and model verification. Reliable measurements of snow depth distribution are of interest for practitioners as well as for scientists. Most of the conventional methods like snow pits, probing or profiling deliver point informa...

We study how autonomous robots can learn by themselves to improve their depth estimation capability. In particular, we investigate a self-supervised learning setup in which stereo vision depth estimates serve as targets for a convolutional neural network (CNN) that transforms a single still image to a dense depth map. After training, the stereo and mono estimates are fused with a novel fusion m...

We present a Multi View Stereo approach for huge unstructured image datasets that can deal with large variations in surface sampling rate of single images. Our method reconstructs surface parts always in the best available resolution. It considers scaling not only for large scale differences, but also between arbitrary small ones for a weighted merging of the best partial reconstructions. We cr...

This review article discusses the use of laser Doppler imaging as a clinimetric tool to determine burn depth in patients presenting to hospital. Laser Doppler imaging is a very sensitive and specific tool to measure burn depth, easy to use, reliable and acceptable to the patient due to its quick and non-invasive nature. Improvements in validity, cost and reproducibility would improve its use in...