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Featured researches published by Drago Bokal.


Discrete Applied Mathematics | 2012

A generalization of Hungarian method and Hall's theorem with applications in wireless sensor networks

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.


Electronic Notes in Discrete Mathematics | 2007

Graph minors and the crossing number of graphs

Drago Bokal; Éva Czabarka; László A. Székely; Imrich Vrto

Abstract There are three general lower bound techniques for the crossing numbers of graphs, all of which can be traced back to Leightons work on applications of crossing number in VLSI: the Crossing Lemma, the Bisection Method, and the Embedding Method. In this contribution, we sketch their adaptations to the minor crossing number.


Radiology and Oncology | 2016

Long-term survival in glioblastoma: methyl guanine methyl transferase (MGMT) promoter methylation as independent favourable prognostic factor

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.


Discrete and Computational Geometry | 2010

General Lower Bounds for the Minor Crossing Number of Graphs

Drago Bokal; Éva Czabarka; László A. Székely; Imrich Vrt’o

There are three general lower bound techniques for the crossing numbers of graphs: the Crossing Lemma, the bisection method and the embedding method. In this contribution, we present their adaptations to the minor crossing number. Using the adapted bounds, we improve on the known bounds on the minor crossing number of hypercubes. We also point out relations of the minor crossing number to string graphs and establish a lower bound for the standard crossing number in terms of Randič index.


graph drawing | 2015

On Degree Properties of Crossing-Critical Families of Graphs

Drago Bokal; Mojca BraăźIăź; Marek Derňár; Petr Hlinĕný

Answering an open question from 2007, we construct infinite k-crossing-critical families of graphs which contain vertices of any prescribed odd degree, for sufficiently largei¾?k. From this we derive that, for any set of integers D such that


Computers & Mathematics With Applications | 2011

Computing quadratic entropy in evolutionary trees

Drago Bokal; Matt DeVos; Sandi Klavar; Aki Mimoto; Arne Ø. Mooers


Journal of Chemometrics | 2018

Nonparametric algorithm for identification of outliers in environmental data: Nonparametric algorithm for identification of outliers

Martina Čampulová; Jaroslav Michálek; Pavel Mikuška; Drago Bokal

\min D\ge 3


Ars Mathematica Contemporanea | 2018

Characterizing all graphs with 2-exceptional edges

Drago Bokal; Jesús Leaños


Ars Mathematica Contemporanea | 2016

A characterization of plane Gauss paragraphs

Dan Archdeacon; Drago Bokal; Tanja Gologranc

and


Journal of Graph Theory | 2010

Infinite families of crossing-critical graphs with prescribed average degree and crossing number

Drago Bokal

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Jesús Leaños

Autonomous University of Zacatecas

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László A. Székely

University of South Carolina

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Éva Czabarka

University of South Carolina

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Andrej Zupan

University of Ljubljana

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