ameloblastomas are regarded as a homogeneous group of neoplasms with locally invasive character. they generally do not show induction of dental hard tissue formation except in few cases. biological behavior and histogenesis of these tumors is still unexplored as there is lack of relevant studies and long follow-up of these patients. so, we aimed to report this rare case of dentinoameloblastoma ...

Isabelle/HOL is a general-purpose proof assistant based on higherorder logic. Its main strengths are its simple-yet-expressive logic and its proof automation. Security researchers make up a significant fraction of Isabelle’s users. In the past few years, many exciting developments have taken place, connecting programming languages, operating system kernels, and security.

Sequence models are widely used in many applications such as natural language processing, information extraction and optical character recognition, etc. We propose a new approach to train the max-margin based sequence model by relaxing the slack variables in this paper. With the canonical feature mapping definition, the relaxed problem is solved by training a multiclass Support Vector Machine (...

We consider the task of structured data prediction. Over the last few years, there has been an abundance of data having inherent structure with strong correlation and complex dependencies between different parts of each input. Numerous applications across different disciplines like Part Of Speech tagging, Optical Character Recognition, Pitch accent prediction among others underline the structur...

Probabilistic kernel classifiers are effective approaches to solve classification problems but only few of them can be applied to indefinite kernels as typically observed in life science problems and are often limited to rather small scale problems. We provide a novel batch formulation of the Probabilistic Classification Vector Machine for large scale metric and non-metric data.

We present Oblio a sparse direct solver library running in both serial an parallel environments The code is written in C using object oriented techniques with the exception of few computationally intensive kernels that are written in Fortran In this paper we explain what motivated the project discuss design issues and report recent re sults

A new multilevel algebraic preconditioner for symmetric positive definite matrices is proposed. The projection and smoothing steps typical for textbook multigrids are replaced by a special coarsening algorithm which is based on orthogonal projectors onto kernels of subdomain matrices. The preconditioner is compared numerically with a few other multigrid preconditioners.

We propose an asymptotic-preserving (AP), uniformly convergent numerical scheme for the relativistic collisional Drift-Kinetic Equation (rDKE) to simulate runaway electrons in axisymmetric toroidal magnetic field geometries typical of tokamak devices. The approach is derived from exact Green's function solution with approximations quantifiable impact, and results a simple, two-step operator-spl...