We extend the result of Farah and Guzm\'an on scattering for $3d$ cubic inhomogeneous NLS to non-radial setting. The key new ingredient is a construction solutions corresponding initial data living far from origin.

Background: Some of the Mason type I fractures cannot be detected on early radiographic images. These occultfractures are considered as a diagnostic challenge for physicians. Our aim was to determine the value of bedsideultrasonography for the detection of Mason I radial head fractures that are non-visible in early X-ray’s.Methods: A prospective blind single-center diagnostic study was conducte...

This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC networks, have been compared against Backpropagation (BP) and Radial Basis Function (RBF) networks and are seen to have excellent performance for prediction of time-series and pattern recognition. The networks can generali...

In this paper, the cell-centered finite volume method (CC-FVM) has been presented to simulate the axisymmetric radial flow toward a pumping well. The model is applied to the unstructured triangular grids which allows to simulate inhomogeneous and complex-shaped domains. Due to the non-orthogonality of the irregular grids, the multipoint flux approximation (MPFA) methods are used to discretize t...

BACKGROUND Isolated radial neck fractures occur only in rare cases. The majority of cases are non-displaced or minimally displaced and can be treated conservatively. Conservative treatment, however, might result in secondary displacement and/or malunion. On the other hand, open reduction and internal fixation (ORIF) as standard surgical approach in adults is associated with non-union, implant-r...

Image zooming is one of the current issues of image processing where maintaining the quality and structure of the zoomed image is important. To zoom an image, it is necessary that the extra pixels be placed in the data of the image. Adding the data to the image must be consistent with the texture in the image and not to create artificial blocks. In this study, the required pixels are estimated ...

This paper describes Weighted Radial Basis Functions, a neuro-fuzzy uni cation algorithm which mixes Perceptrons and Radial Basis Functions. The algorithm has been tested as a pattern classi er in practical applications. Its performance are compared against those of other neural classi ers. The proposed algorithm has performance comparable or better than other neural algorithms, although it can...

Face detection from cluttered images is very challenging due to the wide variety of faces and the complexity of image backgrounds. In this paper, we propose a neural network based approach for locating frontal views of human faces in cluttered images. We use a radial basis function network (RBFN) for separation of face and non-face patterns, and the complexity of RBFN is reduced by principal co...