Search in Publications
Found 6278 publications
Comparison of Interlimb Coordination During Soccer Instep Kicking Between Elite and Amateur Players
Publication Name: European Journal of Sport Science
Publication Date: 2025-09-01
Volume: 25
Issue: 9
Page Range: Unknown
Description:
This study investigates how interlimb joint coordination influences foot speed during soccer instep kicking, using continuous relative phase (CRP) as a quantitative method. The sample includes 15 elite and 15 amateur players to examine potential differences in coordination patterns and their impact on performance. Specifically, we focused on the coordination between hip, knee, and ankle joints in the forefoot-back kicking motion. Results indicated that elite players exhibited significantly higher hip-knee CRP in the coronal plane during 62%–81% of movement duration (p = 0.015) and higher knee-ankle CRP in the vertical plane during 78%–100% (p = 0.013). Moreover, elite players had significantly greater hip-knee mean absolute relative phase (MARP) and deviation phase (DP) in the coronal plane (p < 0.001), as well as increased knee-ankle DP (p = 0.04). In the horizontal plane, hip-knee MARP was also greater in the elite players compared to amateurs (p < 0.001). Further analysis revealed a significant negative correlation between hip-knee CRP and foot velocity in the sagittal plane (R = −0.66, p < 0.001), whereas a significant positive correlation was observed between knee-ankle CRP and foot velocity in the horizontal plane (R = 0.56, p = 0.002). These findings suggest that elite players have superior joint coordination, which contributes to a faster foot velocity at the moment of ball impact. Understanding these coordination patterns provides valuable insights into optimizing kicking techniques. The findings of this study suggest that joint coordination may play an important role in enhancing kicking foot speed, which could inform future training approaches aimed at improving soccer performance.
Open Access: Yes
DOI: 10.1002/ejsc.70041
Integration of BIM and Parametric Modeling for Sustainable Building Design
Publication Name: Chemical Engineering Transactions
Publication Date: 2025-01-01
Volume: 121
Issue: Unknown
Page Range: 79-84
Description:
Due to increasingly stringent environmental regulations and the significant environmental impact associated with the construction, execution, operation, and renovation of buildings, sustainability is receiving growing emphasis in the construction industry. The short- and long-term environmental impact of a building is influenced by numerous factors: during the design phase, for example, location, geometry, materials used, and building services systems play a key role, but the methods applied during construction, the logistical aspects, the organization and quality of operational and maintenance processes, as well as waste management during renovation or demolition at the end of the building's life cycle are also of great importance. This study explores how parametric modelling and BIM can be integrated to support sustainable building design and practices. This literature review presents modern procedures and toolsets applicable in the design, construction, operation, and demolition/renovation phases of buildings, and identifies current research trends, gaps, and challenges. The review highlights that the integration of Building Information Modelling BIM and parametric modelling provides significant opportunities for improving sustainability performance throughout the building life cycle. In the design and construction phases, these tools enable optimisation of energy use, material efficiency, and embodied carbon reduction, while in operation and refurbishment, they support data-driven maintenance and circular material management. The findings indicate that despite rapid technological development, major challenges remain in interoperability, standardisation, and the integration of social and economic sustainability indicators.
Open Access: Yes
DOI: 10.3303/CET25121014
Prevalence of post-traumatic stress disorder among ambulance officers during the COVID–19 pandemic
Publication Name: Orvosi Hetilap
Publication Date: 2024-11-10
Volume: 165
Issue: 45
Page Range: 1779-1787
Description:
Introduction: The coronavirus epidemic in 2019 put ambulance officers’ health at risk in all areas. Objective: The aim of the study was to assess the occurrence of post-traumatic stress disorder among ambulance officers after the pandemic. Data and method: After obtaining the necessary permits, we conducted our cross-sectional, quantitative survey online among the employees of the National Ambulance Service between February and May 2023, using a non-random convenience sample. In addition to John Brier’s Trauma Symptom Checklist-33, our questionnaire included questions about sociodemographic data, work and the coronavirus epidemic. The survey included those who reached the age of 18, had at least 1 year of employment as paramedic or medic, and were active during the pandemic. Data analysis was done with SPSS 26.0 program, using descriptive (average, frequency, confidence range) and mathematical-statistical procedures (chi2-test, T-test, ANOVA, correlation). The results were considered significant at p<0.05. Results: The sample consisted of 237 people (n = 237), 84% of whom were men, the average age was 39.65 ± 10.48 years. Most of them (24.1%) worked in the Budapest rescue service as rescue officers (25.7%). 73.7% of the respondents got infected with COVID–19. On a 5-point Likert scale (where 1 is the least, 5 is the most), the quarantine affected them at an average value of 2.21 ± 1.32, and they feared for their family’s safety from the coronavirus at a value of 3.49 ± 1.29. The average score measured on the post-traumatic stress disorder test (between 0–99 points) was 26.52 ± 19.36, 25.7% of the respondents scored above 40 points, who were the most at risk of the disease. The disease affected more women (p = 0.028), more people living in social relationships (p = 0.013), those who were more affected emotionally by the quarantine (r = 0.296, p<0.001), those who were physically more affected by overwork due to the coronavirus (r = 0.307, p<0.001), and more mentally stressed (r = 0.776, p<0.001). For those whose post-traumatic stress disorder proved to be more severe based on their score, a greater proportion used the help of a mental health specialist provided by the National Ambulance Service (p = 0.002). Conclusion: Special attention should continue to be paid to the mental health care of paramedics, especially in the identified risk groups.
Open Access: Yes
Dynamic response distortion due to changing excitation frequency
Publication Name: Ain Shams Engineering Journal
Publication Date: 2025-12-01
Volume: 16
Issue: 12
Page Range: Unknown
Description:
This study addresses the distortion in system response caused by continuously changing excitation frequency. The distortion leads to reduced resonance peak amplitude and shifts the resonance frequency as well. The novelty of this work lies in providing an analytically established, model-based methodology that not only describes but also predicts and enables one to control this distortion, in contrast to existing studies that mainly describe the phenomenon characteristically [1,2]. The proposed approach incorporates the influencing parameters, such as the sweep direction and rate of linearly changing excitation frequency, and applies a first-order ODE (ordinary differential equation) formulation to approximate the distortion. This enables a sensitivity analysis across frequency and damping ranges, which has not been previously reported in the literature. The methodology is validated with experimental data from an E-drive system, demonstrating how optimal sweep rates and other test conditions can be derived from model fitting. While nonlinear effects may occur in E-drives, the present study focuses on their linear regime to isolate distortion effects. The findings provide both fundamental insights into resonance distortion and practical guidelines for improving the accuracy and reliability of swept-excitation-based NVH (noise, vibration, harshness) measurements in engineering applications.
Open Access: Yes
Quantitative determination of protein of bacterial origin on the basis of D-aspartic acid and D-glutamic acid content
Publication Name: Chromatographia
Publication Date: 2002-01-01
Volume: 56
Issue: SUPPL.
Page Range: S169-S171
Description:
In recent decades several methods have been developed for determination of the proportion of nitrogen-containing substances passed from the rumen into the abomasum, or small intestine, which are of microbial origin. Recently, when examining the D-amino acid content of foodstuffs, particularly milk and milk products, it was observed that, in addition to D-alanine (D-Ala), D-glutamic acid (D-Glu) and D-aspartic acid (D-Asp) can also be detected in similar quantities, primarily in products which have links with bacterial activity. This gave rise to the idea of examining the diaminopimelic acid (DAPA), D-Glu, and D-Asp content of bacteria extracted from the rumen of cattle, and that of chyme from the same cattle, to establish whether D-Asp and D-Glu can be used to estimate protein of bacterial origin. The investigations performed have provided evidence that both D-Asp and D-Glu might be appropriate for determination of protein of bacterial origin. The results obtained using these two bacterial markers (D-Asp and D-Glu) proved to be approximately 10% lower than those obtained using DAPA; this was not because of to error attributable to the new markers but rather to the unreliability of determination using DAPA Analyses performed on samples of known bacterial protein content indicate that D-Asp and D-Glu gave almost identical results for bacterial protein content which were very close to the theoretical (calculated) values.
Open Access: Yes
DOI: 10.1007/bf02494132
Innovating the Pilot Project Based on Multi-Attribute Group Decision-Making and Some Prioritized Aggregation Operators for Complex Pythagorean Fuzzy Information
Publication Name: Fuzzy Information and Engineering
Publication Date: 2025-01-01
Volume: 17
Issue: 3
Page Range: 261-283
Description:
Gathering information from a real-life scenario is a very difficult process due to involvement of the multiple criteria and human opinion. A complex Pythagorean fuzzy set (CPyFS) is an interesting tool to deal with uncertainty while gathering information from human opinion involved in real-life scenarios. But, the aggregation of the information gathered by CPyFS becomes very hectic. Several aggregation operators (AOs) aggregate the information in the form of complex Pythagorean fuzzy values (CPyFVs). However, they lack the prioritization of attributes according to their weights. In this article, an interesting new class of AOs including complex Pythagorean fuzzy (CPyF) prioritized averaging operator (CPyFPAO) and CPyF prioritized geometric operator (CPyFPGO) is introduced. Basic and necessary properties of the introduced AOs are observed. Furthermore, the case study is discussed where the introduced AOs are applied to seek the most suitable optimized site for starting a pilot health project with the help of the multi-attribute group decision-making (MAGDM) process. The results obtained from all proposed AOs are analyzed and compared with some existing AOs. All the analyses are explained with the help of the tabulated data and graphs.
Open Access: Yes
Unsupervised clustering for deep learning: A tutorial survey
Publication Name: Acta Polytechnica Hungarica
Publication Date: 2018-01-01
Volume: 15
Issue: 8
Page Range: 29-53
Description:
Unsupervised learning methods play an essential role in many deep learning approaches because the training of complex models with several parameters is an extremely data-hungry process. The execution of such a training process in a fully supervised manner requires numerous labeled examples. Since the labeling of the training samples is very time-consuming, learning approaches that require less or no labeled examples are sought. Unsupervised learning can be used to extract meaningful information on the structure and hierarchies in the data, relying only on the data samples without any ground truth provided. The extracted knowledge representation can be used as a basis for a deep model that requires less labeled examples, as it already has a good understanding of the hidden nature of the data and should be only fine-tuned for the specific task. The trend for deep learning applications most likely leads to substituting as much portion of supervised learning methods with unsupervised learning as possible. Regarding this consideration, our survey aims to give a brief description of the unsupervised clustering methods that can be leveraged in case of deep learning applications.
Open Access: Yes
Applying earthquake risk analysis methods to a town in Hungary
Publication Name: 18th International Conference on Soil Mechanics and Geotechnical Engineering Challenges and Innovations in Geotechnics Icsmge 2013
Publication Date: 2013-01-01
Volume: 2
Issue: Unknown
Page Range: 1519-1522
Description:
Determining the earthquake risk of buildings in a town or settlement has lately become a more prominent issue. The process can provide important data for governments, authorities, disaster management and insurance companies to better understand risks to many buildings and engineering systems rather than a single building. This paper addresses the rapid evaluation of a large number of similar buildings in one area using a forecasting approach. Back-casting mainly considers the effect of previous earthquakes by listing and categorizing the damaged buildings and casualties. Forecasting offers a method to evaluate the possible damages in advance, however many uncertainties need to be taken into consideration. A fast and simple method should be developed to avoid the time and expertise required from research-based approaches. The steps involve determination of the hazard, assessing building stock, and computing vulnerability. The method for determination of vulnerability functions is a non-linear static analysis using a bilinear approximation of the capacity curve, assuming first mode force distribution and mode shape thus linear strength distribution. From the curve of the seismic demand and the shear capacity of the building, the vulnerability function of the building can be obtained. These vulnerability functions should be derived for typical layouts; offering a family of curves allowing the experts to decide the vulnerability category of a specific building on-site based on visual screening. With the given value of possible PGA (peak ground acceleration), expected damages can then be estimated.
Open Access: Yes
DOI: DOI not available
Strategic Importance of Corporate Communication and Leadership Styles in the Performance of Slovakian SMEs
Publication Name: Journal of Ecohumanism
Publication Date: 2024-11-10
Volume: 3
Issue: 8
Page Range: 8155-8167
Description:
Effective internal communication plays a key role in shaping organisational culture, increasing employee satisfaction and improving performance, especially in small and medium-sized enterprises (SMEs). The purpose of this study is to examine the impact of two-way communication and leadership styles on the employees of Slovakian SMEs, with a particular focus on the challenges posed by the pandemic COVID-19. A mixed methodology was used in the research, which included questionnaire data collection and statistical analysis of the results to explore the frequency and effectiveness of communication and the impact of leadership styles on conflict management. The results highlight that assertive communication and two-way information flow help to increase trust and commitment while having a positive impact on employee motivation and job satisfaction. However, hierarchical communication gaps and inappropriate leadership styles often lead to dissatisfaction and inefficiency. The research has also shown that sustainable development goals, such as incorporating the principles of a circular economy, can contribute to increasing the effectiveness of internal communication and strengthening organisational stability. The new communication challenges brought about by the pandemic, including the consequences of remote working such as feelings of isolation and difficulties in information flow, further reinforce the importance of effective management practices and communication strategies. The paper offers practical suggestions for optimising internal communication systems that can help to increase organisational resilience, improve employee well-being and implement effective leadership practices. The results can contribute to the development of communication strategies and the achievement of organisational success in SMEs.
Open Access: Yes
