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Found 5164 publications
Team efficacy and communication satisfaction as a driver of commitment among university entrepreneurship programme participants
Publication Name: Journal of Open Innovation Technology Market and Complexity
Publication Date: 2025-03-01
Volume: 11
Issue: 1
Page Range: Unknown
Description:
This research explores how perceived team efficacy and communication satisfaction within student teams influence team members’ commitment and willingness to continue in the context of university entrepreneurship programs. The results suggest that team communication and efficacy are influential from a commitment perspective. The research is based on the results of a quantitative survey among participating HSUP (Hungarian Startup University Program) students—a program available at all major Hungarian universities. The applied SEM modeling method provided an adequate instrument to understand better the impact of perceived team attributes on value and exchange-based commitment and identify some of these variables’ determinants. This research provides empirical evidence that the commitment of nascent student entrepreneurs, framed through project and profession focus, should incorporate a team perspective. The paper also formulates further research directions and implications for the design of university entrepreneurship programs. In addition to professional competencies (e.g., market research methods, business model building, MVP creation), the mentoring process should strengthen effective communication, team efficacy, and spirit within the entrepreneurial group. These elements significantly affect the commitment of group members, which in turn influences their willingness to continue on an individual level.
Open Access: Yes
Innovation through intelligent computer-aided formulation design
Publication Name: Current Opinion in Chemical Engineering
Publication Date: 2025-03-01
Volume: 47
Issue: Unknown
Page Range: Unknown
Description:
This perspective paper presents a focused review of a selected topic of chemical-based products, namely, formulations. As formulations cover a wide range of chemical-based products, we highlight opportunities for innovation in three types of formulations — liquid blends, which are mixtures of chemicals that are in the liquid state at standard conditions; liquid formulations, which are mixtures of chemicals that may exist in different states but the final product is a single-phase liquid; and emulsions, which are also mixtures of chemicals that may exist in different states, but the final product is in the form of an emulsion. In each case, we discuss aspects of design, analysis, and innovation together with issues and challenges that could be tackled to find better and more sustainable products. In particular, the potential of hybrid artificial intelligence augmented computer-aided techniques that can aid in the design, analysis, and innovation of formulations is highlighted.
Open Access: Yes
How realistic a bicycle simulator can be? - A validation study
Publication Name: Multimodal Transportation
Publication Date: 2025-03-01
Volume: 4
Issue: 1
Page Range: Unknown
Description:
The aim of this research is to objectively and subjectively validate the virtual reality Bicycle Simulator (BS) developed using off-the-shelf components at the University of Győr, Hungary. To this end, this research compares the performance of 32 participants in two real-world environments (Site 1: separated bicycle-pedestrian path and Site 2: advisory bicycle lane) and in their replication in virtual reality (VR). The objective measures collected for the comparison include speed and Cumulative Lateral Position (CLP), whereas subjective measures include the Perceived Level of Realism (PLR) based on participants’ self-reported perceptions in a post-experiment questionnaire. PLR is a new indicator that we propose using subjects' perceptions of speed, BS control, and VR representation. The combination of these subjective and objective measures is proposed as the Degree of Realism (DR) to standardise the classification of the realism level of a bicycle simulator. Subjectively, the results indicate that the BS provides a high level of safety and comfort for conducting such research. Subject characteristics have no significant influence on VR sickness scores or Perceived Level of Realism. Objectively, for both speed and CLP, we found no significant difference between on-site and the simulation measurements in the case of Site 1, but otherwise for Site 2. However, subjects were not able to accurately perceive either the actual or the relative differences. In conclusion, our bicycle simulator is a safe and comfortable traffic safety research tool that needs further improvement. The proposed preliminary concept of the degree of realism requires further investigation.
Open Access: Yes
Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach
Publication Name: Results in Engineering
Publication Date: 2025-03-01
Volume: 25
Issue: Unknown
Page Range: Unknown
Description:
Wind energy production is rapidly expanding worldwide, yet studies on wind energy potential in India remain limited. This study evaluates the wind power potential and conducts an economic cost analysis of wind turbine generator installations at varying hub heights (10m to 150 m) across 21 locations in India, representing a novel contribution to the field. The selected locations include 11 sites in Gujarat (Location-1), 10 sites in Tamil Nadu (Location-2), and one site in Ravangla, Sikkim (Location-3). Cubic factors methods are implemented to estimate Weibull parameters. Results reveal that at 150 m hub height, wind power density ranges from 123.17 to 308.86 W/m² in Gujarat, 80.64 to 427.12 W/m² in Tamil Nadu, and 183.24 W/m² in Sikkim. Kaluneerkulam in Tamil Nadu demonstrates excellent wind category potential, with energy costs ranging from $0.0165 to $0.0076 per kWh, decreasing as hub height increases. Sites across all three locations exhibit moderate to steady wind speeds, making them suitable for wind energy exploitation. An economic analysis of nine wind turbine types shows that Tamil Nadu achieves the lowest energy cost variation, followed by Gujarat and Sikkim. This study provides valuable insights for optimizing wind energy utilization in India.
Open Access: Yes
Hypertension and sports activity
Publication Name: Cardiologia Hungarica
Publication Date: 2025-03-01
Volume: 55
Issue: 1
Page Range: 34-39
Description:
This summary article reviews the complex relationship between hypertension and sports, addressing key aspects of prevalence, risk factors, and management strategies. Hypertension is a leading cause of cardiovascular disease and mortality, and while regular exercise generally provides cardioprotective effects, certain sports disciplines and lifestyle choices may elevate blood pressure levels in athletes. The article highlights the role of isometric training, high body mass, and the use of performance-enhancing substances as contributors to increased risk. Additionally, it explores the implications of high blood pressure on both athletic performance and long-term cardiovascular health. Diagnostic challenges are discussed, emphasizing the limitations of routine measurements and the need for advanced tools such as ambulatory blood pressure monitoring. Updated European guidelines are presented as a framework for accurate hypertension diagnosis and risk assessment among athletes. Management approaches prioritize lifestyle interven-tions, including dietary changes, stress reduction, and tailored exercise programs. When necessary, pharmacological treatments are recommended with careful consideration of doping regulations and potential impacts on athletic perfor-mance. This article underscores the importance of individualized care in addressing hypertension in athletes, advocat-ing for a multidisciplinary approach that integrates medical, nutritional, and training expertise. By consolidating current evidence, the article aims to provide practical guidance for clinicians, treating athletes and patients with regular physical activities, to better understand and manage hypertension in this population.
Open Access: Yes
Experimental Analysis of a Turbocharger: Influence of Oil Supply Temperature and Pressure on the Bifurcation Phenomenon in Subsynchronous Frequencies
Publication Name: Lubricants
Publication Date: 2025-03-01
Volume: 13
Issue: 3
Page Range: Unknown
Description:
This study presents an experimental analysis of a turbocharger equipped with a semi-floating bearing system, with a particular focus on the bifurcation phenomenon within the subsynchronous vibration spectrum. A predefined design of experiments (DoE) methodology was employed to determine the measurement domains to be analyzed, where the primary input parameters included the lubricant supply temperature and pressure values. The bifurcation phenomenon in relation to the physical parameters of the system is observed via vibration and displacement sensors in two directions, enabling the collection of subsynchronous frequency data for further insights into the influence of lubricant parameters on the rotor system. While the nonlinear effect of oil temperature is well studied in the literature. However, the combined effect of oil supply temperature and pressure was not yet examined, which was the focus of the present study. This paper aims to investigate its coupled effects on the bifurcation phenomenon associated with both lubricant temperature and pressure. The occurrence of the introduced phenomenon is further examined to enhance the understanding of the uncharted behavior of turbocharger rotors and other rotor-bearing-based machinery.
Open Access: Yes
Script-Based Material and Geometrical Modeling of Steel–Concrete Composite Connections for Comprehensive Analysis Under Varied Configurations
Publication Name: Applied Sciences Switzerland
Publication Date: 2025-03-01
Volume: 15
Issue: 6
Page Range: Unknown
Description:
The behavior of steel–concrete composite structures is significantly influenced by the efficiency of the shear connections that link the two materials. This research examines the performance of stud shear connectors, with an emphasis on analyzing the effect of different geometric design parameters. A computational model was created utilizing Python 3.13 to enable thorough digital monitoring of the influence of these parameters on the structural performance of composite connections. Developed within the ABAQUS framework, the model integrates geometric nonlinearity and the Concrete Damage Plasticity (CDP) approach to achieve detailed simulation of structural behavior. Essential design aspects, including stud diameter, stud height, head dimensions, and spacing in both longitudinal and transverse directions, were analyzed. The Python-based parametric model allows for easy modification of design parameters, ensuring efficiency and minimizing modeling errors. The significance of stud diameter changes was analyzed in accordance with Eurocode standards and previous studies. It was found that stud length has a reduced effect on structural performance, particularly when considering the concrete properties used in bridge construction, where compressive failure of the concrete zone is more critical at lower concrete strengths. Additional factors, such as stud head dimensions, were investigated but were found to have minimal effect on the behavior of steel–concrete composite connections. Longitudinal stud spacing emerged as a critical factor influencing structural performance, with optimal results achieved at a spacing of 13d. Spacings of 2d, 3d, and 4d demonstrated overlapping effects, leading to significant performance reductions, as indicated by comparisons of ultimate load and force–displacement responses. For transverse spacing, closer stud arrangements proved effective in reducing the likelihood of slip at the steel–concrete interface, enhancing composite action, and lowering stress concentrations. Additionally, reducing the transverse distance between studs allowed for the use of more shear connectors, increasing redundancy and enhancing performance, especially with grouped-stud connectors (GSCs).
Open Access: Yes
DOI: 10.3390/app15063095
Key characteristics and role of lead users in medical device innovations: An exploratory study
Publication Name: Journal of Innovation and Knowledge
Publication Date: 2025-03-01
Volume: 10
Issue: 2
Page Range: Unknown
Description:
Developing medical device innovations is a lengthy and costly endeavor, so engaging the right participants early in the process is crucial. While much of the existing literature focuses on procedural aspects of innovation, the human factors that influence success are often overlooked. The Lead User Method is designed to identify key contributors based on their ability to stay ahead of market trends and realize significant benefits. However, it has been criticized for inadequacies in its identification process. To address this gap, our study distinguishes seven key personal characteristics of medical lead users that are essential for successful co-created new product development. Through case studies and semi-structured interviews, we demonstrate that engaging lead users throughout the new product development process—regardless of product complexity—enhances product-market fit and profitability. Their involvement becomes increasingly critical as the process advances, particularly during the market diffusion phase. Our research refines the Lead User Method's identification process and provides actionable insights for decision-makers, reducing uncertainty in medical device innovation while lowering development costs and time and increasing product-market fit and profitability.
Open Access: Yes
A New Extensible Feature Matching Model for Corrosion Defects Based on Consecutive In-Line Inspections and Data Clustering
Publication Name: Applied Sciences Switzerland
Publication Date: 2025-03-01
Volume: 15
Issue: 6
Page Range: Unknown
Description:
Featured Application: The proposed framework introduces a new feature matching approach for corroded pipelines based on in-line inspections and data clustering, contributing to the broader field of pipeline integrity management. The effectiveness of this framework suggests potential for application in other domains that benefit from spatial feature matching. Corrosion is considered a leading cause of failure in pipeline systems. Therefore, frequent inspection and monitoring are essential to maintain structural integrity. Feature matching based on in-line inspections (ILIs) aligns corrosion data across inspections, facilitating the observation of corrosion progression. Nonetheless, the uncertainties of inspection tools and corrosion processes present in ILI data influence feature matching accuracy. This study proposes a new extensible feature matching model based on consecutive ILIs and data clustering. By dynamically segmenting the data into spatially localized clusters, this framework enables feature matching of isolated pairs and merging defects, as well as facilitating more precise localized transformations. Moreover, a new clustering technique—directional epsilon neighborhood clustering (DENC)—is proposed. DENC utilizes spatial graph structures and directional proximity thresholds to address the directional variability in ILI data while effectively identifying outliers. The model is evaluated on six pipeline segments with varying ILI data complexities, achieving high recall and precision of 91.5% and 98.0%, respectively. In comparison to exclusively point matching models, this work demonstrates significant improvements in terms of accuracy, stability, and managing the spatial variability and interactions of adjacent defects. These advancements establish a new framework for automated feature matching and contribute to enhanced pipeline integrity management.
Open Access: Yes
DOI: 10.3390/app15062943
