1. Exploring the relationship between anaerobic and morphological characteristics and competition success in young male Slovenian judo athletesJožef Šimenko, Nik Mahnič, David Kukovica, Hrvoje Sertić, Ivan Segedi, Radoje Milić, Damir Karpljuk, Bayram Ceylan, Samo Rauter, 2024, original scientific article Abstract: Judo elements rely on lower and upper body muscle power, supported by the ATP-PCr energy system, which is crucial in high-intensity tasks. This study aims to assess the anaerobic status of young male competitive judokas using the upper body Wingate test and explore associations with competition performance and individual morphological characteristics. A total of 29 male judokas from the U18 and U20 age categories were tested, all actively participating in top-tier national and international competitions. Anthropometric characteristics and body composition measurements were obtained for all participants through bioelectrical impedance analysis. Anaerobic testing was conducted using the upper body Wingate test with a hand ergometer. Competition performance was recorded from the final national cup ranking list. The results presented no statistically significant correlations between morphological and anaerobic variables and competitive performance among selected participants. This highlights the importance of the necessity of updated training programs to increase the anaerobic performance of young Slovenian judokas. Additionally, it shows that in these age groups, anaerobic performance is not the crucial factor but just one piece of the puzzle in young judokas’ successful competition performance; therefore other variables should be further researched.
Keywords: sport, judo, performance, anaerobic power, combat sports, martial arts, athlete development, youth, training
Published in DKUM: 07.04.2025; Views: 0; Downloads: 1
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2. Real-life application of a wearable device towards injury prevention in tennis : a single-case studyIztok Kramberger, Aleš Filipčič, Aleš Germič, Marko Kos, 2022, original scientific article Abstract: The purpose of this article is to present the use of a previously validated wearable sensor
device, Armbeep, in a real-life application, to enhance a tennis player’s training by monitoring and
analysis of the time, physiological, movement, and tennis-specific workload and recovery indicators,
based on fused sensor data acquired by the wearable sensor—a miniature wearable sensor device,
designed to be worn on a wrist, that can detect and record movement and biometric information,
where the basic signal processing is performed directly on the device, while the more complex
signal analysis is performed in the cloud. The inertial measurements and pulse-rate detection of
the wearable device were validated previously, showing acceptability for monitoring workload and
recovery during tennis practice and matches. This study is one of the first attempts to monitor the
daily workload and recovery of tennis players under real conditions. Based on these data, we can
instruct the coach and the player to adjust the daily workload. This optimizes the level of an athlete’s
training load, increases the effectiveness of training, enables an individual approach, and reduces the
possibility of overuse or injuries. This study is a practical example of the use of modern technology
in the return of injured athletes to normal training and competition. This information will help tennis
coaches and players to objectify their workloads during training and competitions, as this is usually
only an intuitive assessment.
Keywords: tennis, training, data-based coaching, shot recognition, wearable device, workload, recovery
Published in DKUM: 31.03.2025; Views: 0; Downloads: 3
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5. Innovative professional learning communities and sustainable education practices through digital transformationMaja Vičič Krabonja, Simona Kustec, Vesna Skrbinjek, Boris Aberšek, Andrej Flogie, 2024, original scientific article Abstract: Education is the most important part of sustainable society development. Traditional
approaches to permanent lifelong educator training often fail to produce lasting changes in teaching
practices (UN, Goal 4). This paper examines how educator involvement in a professional learning
community (PLC) ensures equitable quality education and promotes lifelong learning opportunities
for all and a sustainable digital transformation of the teaching and learning process. Participation in
PLC and the use of contemporary learning environments positively impact the quality of educators’
work, thereby enhancing the overall educational process. This study utilised a quantitative methodology, employing both descriptive and inferential statistics to analyse the data. Results indicate
that a balanced integration of formal PLC structures and guidance, combined with elements of a
non-formal, broader PLC and external incentives and support (such as projects), can surpass mere
exchanges of best practices, foster innovation, and support the sustainable digital transformation
of educators. This approach leads to a sustainable shift in pedagogical paradigms. The PLC_IP
model (focused on including digital technologies and effective teaching strategies) enhances collective
educator efficacy, contributing to improved teaching quality. For PLCs to achieve sustainability, they
must be dynamic entities that adapt to the evolving educational landscape, ensuring their continued
relevance and impact with rising completion rates over time. Our findings underscore the importance
of innovative PLCs in driving sustainable educational development and improvement and provide a
framework for future research and practical applications in educational settings. In addition, PLCs
can strengthen the means of implementation and revitalise the global partnership for sustainable
development (UN, Goal 17).
Keywords: professional learning communities, ESD, training, sustainable changes, sustainable education, education practices, schools
Published in DKUM: 27.11.2024; Views: 0; Downloads: 6
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6. Balancing software and training requirements for information securityDamjan Fujs, Simon Vrhovec, Damjan Vavpotič, 2023, original scientific article Abstract: Information security is one of the key areas of consideration to assure reliable and dependable information systems (IS). Achieving an appropriate level of IS security requires concurrent consideration of the technical aspects of IS and the human aspects related to the end users of IS. These aspects can be described in the form of information security requirements. We propose an approach that helps select and balance information security software requirements (iSSR) and information security training requirements (iSTR) according to the information security performance of end users. The approach was tested in an experiment involving 128 IS professionals. The results showed that using the proposed approach helps IS professionals with limited experience in information security make significantly better decisions regarding iSSR and iSTR.
Keywords: kibernetska varnost, eksperiment, informacijsko varnostni standardi, inženirstvo zahtev, usposabljanje končnih uporabnikov, informacijska varnost, cyber security, experiment, information security standard, requirements engineering, end user training, information security
Published in DKUM: 13.11.2024; Views: 0; Downloads: 4
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7. Digital twin in sport: from an idea to realizationLuka Lukač, Iztok Fister, Iztok Fister, 2022, original scientific article Abstract: A digital twin is a virtual model to reflect a physical object and helps it by making proper decisions. The decision-making process is based on the same input data that the simulated physical object has access to. Due to exploiting artificial intelligence, the decision-making process of the digital twin is more sophisticated than that of the physical object. In this study, the digital twin is applied to the sports training domain, where it addresses those questions that have arisen during the implementation of interval cycling training sessions. Thus, the digital twin runs on a mobile device (i.e., the Raspberry Pi platform), with which a cycle is equipped and demonstrates user-friendliness, robustness, reliability, and accuracy. The interval training sessions are transferred to the mobile device in the form of the domain-specific language EasyTrain, ensuring higher expressive power and ease of use. During the implementation, the digital twin advises the athlete with predicted information obtained by a sophisticated prediction model via a screen. The results of a huge experimental work showed that the difference in the average efficiency of the interval training implementation between the two cyclists that performed the experiments is prominent, as the efficiency of the professional training surpassed 90%, while the amateur training efficiency barely achieved 70%.
Keywords: digital twin, interval sports training, healthcare, domain-specific language, cycling
Published in DKUM: 23.08.2024; Views: 119; Downloads: 13
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8. Hemodynamic response to high- and low-load resistance exercise in patients with coronary artery disease : a randomized, crossover clinical trialTim Kambič, Vedran Hadžić, Mitja Lainščak, 2021, original scientific article Abstract: Low-load resistance exercise (LL-RE) is recommended as an adjunct therapy to aerobic exercise during cardiac rehabilitation in patients with coronary artery disease. The safety and hemodynamic response to high-load (HL) RE remain unknown. The aim of this study was to evaluate the hemodynamic response during both HL-RE and LL-RE prior to cardiac rehabilitation. Forty-three patients with coronary artery disease and/or percutaneous coronary intervention performed three sets of leg-press exercise using HL-RE (eight repetitions at the intensity of 80% of one repetition maximum (1-RM)) and LL-RE (16 repetitions at the intensity of 40% 1-RM) in a randomized crossover sequence. Heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), and rating of perceived exertion were measured at baseline, after each set of RE and post-exercise. No clinically relevant changes in HR and BP or in patient-reported symptoms were recorded during HL-RE or LL-RE. Compared with baseline, HR and SBP increased during LL-RE (from 66 bpm to 86 bpm, time effect: p < 0.001; from 129 mmHg to 146 mmHg, time effect: p < 0.001) and HL-RE (from 68 bpm to 86 bpm, time effect: p < 0.001; from 130 mmHg to 146 mmHg, time effect: p < 0.001). Compared with HL-RE, the increase in HR was greater after the final set of LL-RE (32% vs. 28%, p = 0.015), without significant differences in SBP and DBP between LL-RE and HL-RE. Rating of perceived exertion was higher after the 1st set of HL-RE compared with LL-RE (median (interquartile range): 6 (5–7) vs. 6 (5–6), p = 0.010). In patients with coronary artery disease, both HL-RE and LL-RE were safe and well-tolerated. Hemodynamic changes were similar and within the physiological response to RE.
Keywords: sport, cardiac rehabilitation, resistance training, blood pressure, heart rate
Published in DKUM: 20.08.2024; Views: 85; Downloads: 10
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9. Effects of high-load and low-load resistance training in patients with coronary artery disease : rationale and design of a randomised controlled clinical trialTim Kambič, Nejc Šarabon, Vedran Hadžić, Mitja Lainščak, 2021, original scientific article Abstract: Introduction: Resistance training (RT) combined with aerobic training (AT) enhances the effects of cardiac rehabilitation (CR) in patients with coronary artery disease (CAD). However, it remains to be investigated which type of RT (high loads (HLs) vs low loads (LLs)) is more efficacious in improving exercise performance, cardio-metabolic health and quality of life.
Methods and analysis: A randomised, controlled, clinical trial will enrol 20 patients with CAD into each of three study arms (total 60 patients): HL-RT (70%–80% of one repetition maximum (1-RM)) combined with AT; LL-RT (30%–40% of 1-RM) combined with AT and AT alone as standard care. Primary outcomes (maximal aerobic capacity, maximal leg isometric strength) will be assessed at baseline and after 36 training sessions. Other outcomes will include acute haemodynamic responses to LL-RT and HL-RT, body composition, physical performance, blood biomarkers (lipids, glucose metabolism, inflammation, growth factors), physical activity and quality of life. The intention-to-treat principle will be used to analyse the data.
Ethics and dissemination: The study design and protocol have been approved by the National Medical Ethics Committee of Slovenia (registration number: 0120-573/2019/15). The study will be conducted in accordance with the Declaration of Helsinki. The results of the study will be published as peer-reviewed manuscripts and congress presentations, communicated with patients and the clinical community, and shared through posts on social media. The findings of the study will be disseminated among the national CR clinical community (CR centres, Slovenian association of coronary clubs) with active participation of the patients enrolled in the study. This study will expand our knowledge of RT in combination with AT in CR. We expect to find different effects of HL-RT versus LL-RT, with implications for RT strategies in rehabilitation of patients with CAD.
Keywords: sports, training, coronary artery disease, controlled clinical trial
Published in DKUM: 20.08.2024; Views: 92; Downloads: 9
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10. Background purification framework with extended morphological attribute profile for hyperspectral anomaly detectionJu Huang, Kang Liu, Mingliang Xu, Matjaž Perc, Xuelong Li, 2021, original scientific article Abstract: Hyperspectral anomaly detection has attracted extensive interests for its wide use in military and civilian fields, and three main categories of detection methods have been developed successively over past few decades, including statistical model-based, representation-based, and deep-learning-based methods. Most of these algorithms are essentially trying to construct proper background profiles, which describe the characteristics of background and then identify the pixels that do not conform to the profiles as anomalies. Apparently, the crucial issue is how to build an accurate background profile; however, the background profiles constructed by existing methods are not accurate enough. In this article, a novel and universal background purification framework with extended morphological attribute profiles is proposed. It explores the spatial characteristic of image and removes suspect anomaly pixels from the image to obtain a purified background. Moreover, three detectors with this framework covering different categories are also developed. The experiments implemented on four real hyperspectral images demonstrate that the background purification framework is effective, universal, and suitable. Furthermore, compared with other popular algorithms, the detectors with the framework perform well in terms of accuracy and efficiency.
Keywords: detectors, anomaly detection, image reconstruction, hyperspectral imaging, training, optics, dictionaries, background purification, extended attribute profile, sparse representation, stacked autoencoder
Published in DKUM: 19.08.2024; Views: 92; Downloads: 9
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