71. Big data in sports : a bibliometric and topic studyAna Šuštaršič, Mateja Videmšek, Damir Karpljuk, Ivan Miloloža, Maja Meško, 2022, pregledni znanstveni članek Opis: Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue.
Objectives: The purpose of the research was to analyze the scientific production of Big Data in sports and sports-related activities in two databases, Web of Science and Scopus.
Methods/Approach: Bibliometric analysis and topic mining were done on 51 articles selected after four exclusion criteria (written in English, journal articles, the final stage of publication, and a detailed review of all full texts). The software tool used was Statistica Data Miner.
Results: We found that the first articles appeared in Scopus in 2013 and WoS in 2014. USA and China are countries which produced the most articles. The most common research areas in WoS and Scopus are Public environmental and occupational health, Medicine, Environmental science ecology, and Engineering.
Conclusions: We conducted that further research and literature review will be required as this is a broad and new topic.
Ključne besede: big data, sport, bibliometric study, topic study, health care management, services, decision making
Objavljeno v DKUM: 05.07.2024; Ogledov: 154; Prenosov: 12
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72. Performance-oriented UWB RTLS decision-making approachSimona Šinko, Enej Marinič, Blaž Poljanec, Matevž Obrecht, Brigita Gajšek, 2022, izvirni znanstveni članek Opis: When introducing new technologies, companies are repeatedly faced with choosing between solutions from different providers. Regardless of all the good technical characteristics of the technology, if it is chosen inappropriately, it can prove to be a cost driver instead of something that brings added value to the system. Aware of this, we considered selecting a real-time location system (RTLS) based on Ultra-wideband technology in the indoor work environment. In practice and theory, it has been proven that the introduction of the RTLS can have highly positive effects on performance and business sustainability indicators. When reviewing the literature, it was noticed that authors solely focus on the technical properties of the systems and prices when giving guidelines on selecting the optimal RTLS. This article aims to provide advanced guidelines for UWB RTLS selection, proposing a phased selection process which is the main novelty proposed and investigated in this research. The guidelines are based on fragmented recommendations in the scientific literature that have been identified, gathered, considered, and reasonably allocated to the advanced performance-oriented phased selection process. In practice, this approach enables decision-makers to choose the most efficient and most appropriate UWB RTLS for specific logistics systems.
Ključne besede: decision-making, location data, RTLS, UWB, technology selection
Objavljeno v DKUM: 04.07.2024; Ogledov: 148; Prenosov: 25
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74. Categorisation of open government data literatureAljaž Ferencek, Mirjana Kljajić Borštnar, Ajda Pretnar Žagar, 2022, pregledni znanstveni članek Opis: Background: Due to the emerging global interest in Open Government Data, research papers on various topics in this area have increased.
Objectives: This paper aims to categorise Open government data research.
Methods/Approach: A literature review was conducted to provide a complete overview and classification of open government data research. Hierarchical clustering, a cluster analysis method, was used, and a hierarchy of clusters on selected data sets emerged.
Results: The results of this study suggest that there are two distinct clusters of research, which either focus on government perspectives and policies on OGD, initiatives, and portals or focus on regional studies, adoption of OGD, platforms, and barriers to implementation. Further findings suggest that research gaps could be segmented into many thematic areas, focusing on success factors, best practices, the impact of open government data, barriers/challenges in implementing open government data, etc.
Conclusions: The extension of the paper, which was first presented at the Entrenova conference, provides a comprehensive overview of research to date on the implementation of OGD and points out that this topic has already received research attention, which focuses on specific segments of the phenomenon and signifies in which direction new research should be made.
Ključne besede: open government data, open government data research, hierarchical clustering, OGD classification, OGD literature overview
Objavljeno v DKUM: 12.06.2024; Ogledov: 134; Prenosov: 15
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75. Cyber (in)security of personal data and information in times of digitizationMiha Dvojmoč, Mojca Tancer Verboten, 2022, izvirni znanstveni članek Opis: In an employment relationship, work and pay are no longer the only important aspects, as importance is increasingly shifting toward obligations concerning the protection of personal data and privacy arising from the prohibition of causing harm to the employer and the duty of loyalty to the employer. The article deals with the constitutionally protected right to privacy and the protection of personal data from the point of view of ensuring cyber security at the employer. The employer is obligated to protect the right to privacy by legal provisions, whereas from the point of view of ensuring the protection of privacy and information, the employer must protect, first and foremost, the personal data of employees. The main purpose of the legal protection of personal data is the lawful and fair processing of the personal data of individuals. Employers are thus facing an increasing number of risks related to the safety of employees and the security of business processes, and it is therefore important to establish comprehensive corporate security to ensure adequate security across all levels.
Ključne besede: cyber security, protection of personal data, protection of privacy, cyber threats, protection of business secrets
Objavljeno v DKUM: 11.06.2024; Ogledov: 150; Prenosov: 35
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77. A review of federated learning in agricultureKrista Rizman Žalik, Mitja Žalik, 2023, pregledni znanstveni članek Opis: Federated learning (FL), with the aim of training machine learning models using data and computational resources on edge devices without sharing raw local data, is essential for improving agricultural management and smart agriculture. This study is a review of FL applications that address various agricultural problems. We compare the types of data partitioning and types of FL (horizontal partitioning and horizontal FL, vertical partitioning and vertical FL, and hybrid partitioning and transfer FL), architectures (centralized and decentralized), levels of federation (cross-device and cross-silo), and the use of aggregation algorithms in different reviewed approaches and applications of FL in agriculture. We also briefly review how the communication challenge is solved by different approaches. This work is useful for gaining an overview of the FL techniques used in agriculture and the progress made in this field.
Ključne besede: federated learning, agriculture, architecture, data partitioning, federation scal, aggregation algorithms, communication bottleneck
Objavljeno v DKUM: 05.06.2024; Ogledov: 142; Prenosov: 43
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78. Simulated and experimental HDEMG signals of biceps brachii muscle for analysis of motor unit mergingAleš Holobar, Jakob Škarabot, Dario Farina, 2024, zaključena znanstvena zbirka raziskovalnih podatkov Opis: This dataset contains a collection of simulated and experimental surface HDEMG recordings of the biceps brachii muscle during the isometric elbow flexion. Simulated data contains 50 recordings: 5 subjects and 5 excitation levels, each with and without added noise. Experimental data contains 16 recordings: 2 subjects with 4 excitation levels and 2 repetitions of each level. Synthetic data was simulated using the cylindrical volume conductor model [1] and the motor unit recruitment and firing modulation model proposed in [2]. Each recording is 20 seconds in length with 90 HDEMG channels sampled at 2048 Hz and is stored as a 2D matrix of raw EMG values in Matlab’s MAT format. Experimental surface EMG data was recorded on two volunteers during isometric contractions at constant force level. Each recording is 25 seconds in length with 64 HDEMG channels sampled at 2048 Hz and is also stored as a 2D matrix of raw EMG values in Matlab’s MAT format. The dataset is approximately 1.5 GB in size.
Ključne besede: surface high density electromyogram (HDEMG), motor unit, spike train, motor unit merging, simulated data, experimental data, biceps brachii, dataset
Objavljeno v DKUM: 30.05.2024; Ogledov: 172; Prenosov: 34
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79. Age-related changes in lipid and glucose levels associated with drug use and mortality : an observational studyRene Markovič, Vladimir Grubelnik, Helena Blažun Vošner, Peter Kokol, Matej Završnik, Karmen Janša, Marjeta Zupet, Jernej Završnik, Marko Marhl, 2022, izvirni znanstveni članek Opis: Background: The pathogenesis of type 2 diabetes mellitus is complex and still unclear in some details. The main feature of diabetes mellitus is high serum glucose, and the question arises of whether there are other statistically observable dysregulations in laboratory measurements before the state of hyperglycemia becomes severe. In the present study, we aim to examine glucose and lipid profiles in the context of age, sex, medication use, and mortality. Methods: We conducted an observational study by analyzing laboratory data from 506,083 anonymized laboratory tests from 63,606 different patients performed by a regional laboratory in Slovenia between 2008 and 2019. Laboratory data-based results were evaluated in the context of medication use and mortality. The medication use database contains anonymized records of 1,632,441 patients from 2013 to 2018, and mortality data were obtained for the entire Slovenian population. Results: We show that the highest percentage of the population with elevated glucose levels occurs approximately 20 years later than the highest percentage with lipid dysregulation. Remarkably, two distinct inflection points were observed in these laboratory results. The first inflection point occurs at ages 55 to 59 years, corresponding to the greatest increase in medication use, and the second coincides with the sharp increase in mortality at ages 75 to 79 years. Conclusions: Our results suggest that medications and mortality are important factors affecting population statistics and must be considered when studying metabolic disorders such as dyslipidemia and hyperglycemia using laboratory data.
Ključne besede: diabetes, metabolic syndrome, hematological data, aging
Objavljeno v DKUM: 21.05.2024; Ogledov: 204; Prenosov: 11
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80. Webinar: Data Management and EthicsMilan Ojsteršek, Matjaž Divjak, 2024, znanstveni film, znanstvena zvočna ali video publikacija Opis: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia.
More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html
The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/
This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152).
This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Ključne besede: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata
Objavljeno v DKUM: 09.05.2024; Ogledov: 201; Prenosov: 8
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