Janja Jerebic
University of Maribor
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Featured researches published by Janja Jerebic.
Discrete Applied Mathematics | 2012
Drago Bokal; Boštjan Brešar; Janja Jerebic
In this paper, we consider various problems concerning quasi-matchings and semi-matchings in bipartite graphs, which generalize the classical problem of determining a perfect matching in bipartite graphs. We prove a generalization of Halls marriage theorem, and present an algorithm that solves the problem of determining a lexicographically minimum g -quasi-matching (that is a set F of edges in a bipartite graph such that in one set of the bipartition every vertex v has at least g ( v ) incident edges from F , where g is a so-called need mapping, while on the other side of the bipartition the distribution of degrees with respect to F is lexicographically minimum). We obtain that finding a lexicographically minimum quasi-matching is equivalent to minimizing any strictly convex function on the degrees of the A-side of a quasi-matching and use this fact to prove a more general statement: the optima of any component-based strictly convex cost function on any subset of L 1 -sphere in N n are precisely the lexicographically minimal elements of this subset. We also present an application in designing optimal CDMA-based wireless sensor networks.
Information Processing Letters | 2005
Janja Jerebic; Sandi Klavžar; Simon Špacapan
An r-perfect code of a graph G = (V, E) is a set C ⊆ V such that the r-balls centered at vertices of C form a partition of V. It is proved that the direct product of Cm and Cn (r ≥ 1, m, n ≥ 2r + 1) contains an r-perfect code if and only if m and n are each a multiple of (r + 1)2 + r2 and that the direct product of Cm, Cn, and Cl (r ≥ 1, m, n, l ≥ 2r + 1) contains an r-perfect code if and only if m, n, and l are each a multiple of r3 + (r + 1)3. The corresponding r-codes are essentially unique. Also, r-perfect codes in C2r × Cn (r ≥ 2, n ≥ 2r) are characterized.
Radiology and Oncology | 2016
Uros Smrdel; Mara Popović; Matjaz Zwitter; Emanuela Boštjančič; Andrej Zupan; Viljem Kovac; Damjan Glavač; Drago Bokal; Janja Jerebic
Abstract Background In spite of significant improvement after multi-modality treatment, prognosis of most patients with glioblastoma remains poor. Standard clinical prognostic factors (age, gender, extent of surgery and performance status) do not clearly predict long-term survival. The aim of this case-control study was to evaluate immuno-histochemical and genetic characteristics of the tumour as additional prognostic factors in glioblastoma. Patients and methods Long-term survivor group were 40 patients with glioblastoma with survival longer than 30 months. Control group were 40 patients with shorter survival and matched to the long-term survivor group according to the clinical prognostic factors. All patients underwent multimodality treatment with surgery, postoperative conformal radiotherapy and temozolomide during and after radiotherapy. Biopsy samples were tested for the methylation of MGMT promoter (with methylation specific polymerase chain reaction), IDH1 (with immunohistochemistry), IDH2, CDKN2A and CDKN2B (with multiplex ligation-dependent probe amplification), and 1p and 19q mutations (with fluorescent in situ hybridization). Results Methylation of MGMT promoter was found in 95% and in 36% in the long-term survivor and control groups, respectively (p < 0.001). IDH1 R132H mutated patients had a non-significant lower risk of dying from glioblastoma (p = 0.437), in comparison to patients without this mutation. Other mutations were rare, with no significant difference between the two groups. Conclusions Molecular and genetic testing offers additional prognostic and predictive information for patients with glioblastoma. The most important finding of our analysis is that in the absence of MGMT promoter methylation, longterm survival is very rare. For patients without this mutation, alternative treatments should be explored.
Combinatorics, Probability & Computing | 2007
Dalibor Froncek; Janja Jerebic; Sandi Klavžar; Petr Kovář
The strong isometric dimension of a graph
Organizacija | 2017
Polona Šprajc; Marko Urh; Janja Jerebic; Dragan Trivan; Eva Jereb
G
Discrete Mathematics | 2006
Janja Jerebic; Sandi Klavar
is the least number
PLOS ONE | 2018
Eva Jereb; Matjaž Perc; Barbara Lammlein; Janja Jerebic; Marko Urh; Iztok Podbregar; Polona Šprajc
k
European Journal of Combinatorics | 2008
Wilfried Imrich; Janja Jerebic; Sandi Klavar
such that
Annals of Combinatorics | 2008
Janja Jerebic; Sandi Klavžar; Douglas F. Rall
G
Discrete Mathematics | 2010
Janja Jerebic; Sandi Klavar
isometrically embeds into the strong product of