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Institution

University of Maribor

EducationMaribor, Slovenia
About: University of Maribor is a education organization based out in Maribor, Slovenia. It is known for research contribution in the topics: Population & KEKB. The organization has 3987 authors who have published 13077 publications receiving 258339 citations. The organization is also known as: Univerza v Mariboru.


Papers
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Journal ArticleDOI
TL;DR: A summary of the most commonly used ecologically unfriendly processes for the reduction and oxidation of vat and sulphur dyes can be found in this paper, where the reduction has been carried out via the dye radical molecule or, in the case of indigo, by direct electrochemical reduction using graphite as the electrode material.

142 citations

Journal ArticleDOI
TL;DR: This article considers social networks of the same users in these two platforms and develops a meta-path-based algorithm for predicting the links in Foursquare, and shows that including the cross-layer information significantly improves the prediction performance.
Abstract: Online social networks play a major role in modern societies, and they have shaped the way social relationships evolve. Link prediction in social networks has many potential applications such as recommending new items to users, friendship suggestion and discovering spurious connections. Many real social networks evolve the connections in multiple layers (e.g. multiple social networking platforms). In this article, we study the link prediction problem in multiplex networks. As an example, we consider a multiplex network of Twitter (as a microblogging service) and Foursquare (as a location-based social network). We consider social networks of the same users in these two platforms and develop a meta-path-based algorithm for predicting the links. The connectivity information of the two layers is used to predict the links in Foursquare network. Three classical classifiers (naive Bayes, support vector machines (SVM) and K-nearest neighbour) are used for the classification task. Although the networks are not highly correlated in the layers, our experiments show that including the cross-layer information significantly improves the prediction performance. The SVM classifier results in the best performance with an average accuracy of 89%.

141 citations

Journal ArticleDOI
TL;DR: Compared to single- and double-bundle ACL reconstruction using an anatomic technique, individualized based on the patient’s native ACL size, Anatomic double-Bundle reconstruction is not superior to anatomic single-b Bundle reconstruction when an individualized ACL reconstruction technique is used.
Abstract: Background:Reconstruction of the anterior cruciate ligament (ACL) has become a commonly performed procedure. However, biomechanical studies have demonstrated that conventional single-bundle ACL reconstruction techniques are only successful in limiting anterior tibial translation but less effective for restoring rotatory laxity.Purpose:This study aimed to compare the results of single- and double-bundle ACL reconstruction using an anatomic technique, individualized based on the patient’s native ACL size. The authors hypothesized that there would be no difference between the results of anatomic single-bundle (ASB) and anatomic double-bundle (ADB) reconstruction when the surgical technique is individualized.Study Design:Cohort study; Level of evidence, 2.Methods:Depending on intraoperative measurements of the ACL insertion site size, patients were selected for either ASB (n = 32) or ADB (n = 69) ACL reconstruction. In all groups, hamstring tendons autograft was used with suspensory fixation on the femoral si...

141 citations

Journal ArticleDOI
Breda Kegl1
TL;DR: In this article, the influence of biodiesel on the engine combustion characteristics is discussed and the relationship among fuel properties, injection and combustion characteristics, harmful emissions, specific fuel consumption, and other engine performance is determined.

141 citations

Journal ArticleDOI
TL;DR: This article deals with the state of the art regarding the electrode-skin interface, signal detection modalities, spatial filters and front-end amplifiers, and relationship between surface EMG and force.
Abstract: This article is the first section of a review work structured in three parts and concerning a) advances in surface EMG detection and processing techniques, b) recent progress in surface EMG clinical research applications and, c) myoelectric control in neurorehabilitation. This article deals with the state of the art regarding a) the electrode-skin interface (equivalent circuits, skin treatment, conductive gels), b) signal detection modalities, spatial filters and front-end amplifiers, c) power line interference removal, separation of propagating and non-propagating potentials and removal of outliers from surface EMG signal maps, d) segmentation of surface EMG signal maps, e) decomposition of surface EMG into the constituent action potential trains, and f) relationship between surface EMG and force. The material is presented with an effort to fill gaps left by previous reviews and identify areas open for future research.

141 citations


Authors

Showing all 4077 results

NameH-indexPapersCitations
Ignacio E. Grossmann11277646185
Mirjam Cvetič8945627867
T. Sumiyoshi8885562277
M. Bračko8773830195
Xin-She Yang8544461136
Matjaž Perc8440022115
Baowen Li8347723080
S. Nishida8267827709
P. Križan7874926408
S. Korpar7861523802
Attila Szolnoki7623120423
H. Kawai7647722713
John Shawe-Taylor7250352369
Matjaz Perc5714812886
Mitja Lainscak5528722004
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202352
2022135
2021809
2020870
2019832
2018756