objective: the knowledge of anatomic landmarks’ positions, including inferior alveolar nerve’s canal, is crucial for dentist, who has to master it. it is important to know the exact location and anatomic variety of this canal for different procedures of mandibular surgeries. the aim of the present study was to evaluate inferior mandibular canal’s anatomic position by cone-beam computed tomograp...

vspace{0.2cm}In this paper, we design a data structure for the following problem. Let $pi$ be an $x$-monotone trajectory with $n$ vertices in the plane and $epsilon >0$. We show how to preprocess $pi$ and $epsilon$ into a data structure such that for any horizontal query segment $Q$ in the plane, one can quickly determine the minimal continuous fraction of $pi$ whose Fr{'e}chet and Hausdo...

Let Fq denote a finite field with q elements and let V = (Fq)m,n be the Fq-vector space of matrices over Fq of type (m,n). On V we define the so-called rank metric distance by d(A,B) = rank(A−B) for A,B ∈ V . Clearly, the distance d is a translation invariant metric on V . A subset C ⊆ V endowed with the metric d is called a rank metric code with minimum distance d(C) = min {d(A,B) | A 6= B ∈ V...

The IL-6 -174G/C single nucleotide polymorphism (SNP) functionally affects IL-6 activity, with the G-allele associated with increased IL-6 levels. The C-allele was found to be associated with exercise-induced skeletal muscle damage. The aim of the present study was to examine the association between the IL-6 -174G/C polymorphism and athletic performance among elite swimmers and runners. The stu...

Deep-inelastic diffractive scaling provides fundamental insight into the QCD pomeron. It is argued that single gluon domination of the structure function, together with the well-known Regge pole property, determines that the pomeron carries color-charge parity Cc = −1 and, at short distances, is in a super-critical phase of Reggeon Field Theory. The main purpose of the talk is to describe the r...

We formulate and analyze a novel seed-driven algorithm SeedHam for PPM learning. To learn a PPM of length `, the algorithm uses the most frequent `-mer of the training data as a seed, and then restricts the learning into the `-mers of training data that belong to a Hamming neighbourhood of the seed. The PPM is constructed from background corrected counts of such `-mers using an algorithm that e...

Children with speech disorders often present with systematic speech error patterns. In clinical assessments of speech disorders, evaluating the severity of the disorder is central. Current measures of severity have limited sensitivity to factors like the frequency of the target sounds in the child’s language and the degree of phonological diversity, which are factors that can be assumed to affe...