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Publications - 6374

Descriptive Markers for the Cognitive Profiling of Desktop 3D Spaces

Publication Name: Electronics Switzerland

Publication Date: 2023-01-01

Volume: 12

Issue: 2

Page Range: Unknown

Description:

3D virtual reality spaces, whether running on desktop environments or on immersive displays, have been noted to support a radically new and highly stimulating way of working with digital content in a variety of application domains. At the same time, research in recent decades has produced a number of experimental results showing that the use of 3D, as opposed to 2D interfaces, can lead to performance improvements from a wide range of aspects, including the ability to comprehend and retain knowledge, ability to work collaboratively in more creative and effective ways, and ability to carry out workflows integrating numerous sources of information in less time. In this paper, we first review the relevant literature; then, we describe an exploratory study that we carried out with test subjects, both in a 3D desktop virtual environment and in a 2D web-based environment, while collecting eye tracking data. In the study, subjects were presented with a set of multimedia content on a range of topics within the field of astronomy, based on which they were subsequently asked to fill out a set of questionnaires. By comparing the 2D and 3D cases in terms of correctness of answers, time taken to perform the task, pupil dilation measurements, subjects’ self-reported difficulty assessments, as well as various kinds of high-level interaction patterns employed during the task (in 3D), we were able to identify a set of descriptive markers which may be relevant to the prediction of users’ effectiveness in virtual reality workspaces. In a weaker sense, the results also seem to support previous research works claiming improved effectiveness in 3D spaces compared to 2D web-based interfaces, although further work is needed to more clearly identify the constraints within which such benefits can be guaranteed.

Open Access: Yes

DOI: 10.3390/electronics12020448

Rolling Contact fatigue Defects and a New Approach to Rail Material Management

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2025-01-01

Volume: 22

Issue: 4

Page Range: 227-246

Description:

This article describes the current method of calculating the Hertzian contact stress and the corresponding shear stress occurring in the rail head at the rail-wheel contact and highlights the false sense of security that this approach creates among experts. The authors then present a method that is easy to implement in spreadsheet software and provides realistic results. In light of the results obtained, it is shown that it is not possible to prevent defects induced by the occurring stresses but only to keep them within limits by means of rail machining, which is a realistic objective, without significantly limiting the throughput capacity of the railway track. The combined effects of rail machining and natural wear cause the cross-sectional area and inertia and thus, the load-bearing capacity of the rails to decrease continuously. If the limit is exceeded, the rails may be installed again in less heavily used track sections and continue functioning. At the end of their service life, the track owner sells them as used rail scrap. If possible, recasting them as electro-steels, can significantly reduce the production costs and the amount of CO2 emitted during production.

Open Access: Yes

DOI: DOI not available

EVALUATION THE BEHAVIOR OF PULLOUT FORCE AND DISPLACEMENT FOR A SINGLE PILE: EXPERIMENTAL VALIDATION WITH PLAXIS 3D

Publication Name: Kufa Journal of Engineering

Publication Date: 2023-04-01

Volume: 14

Issue: 2

Page Range: 105-116

Description:

This study conducted an experimental and numerical investigation to examine the pullout behavior of a single pile in sand soil with a specific density. The soil testing model was constructed to simulate real-world geotechnical applications where the soil is subjected to varying pullout forces. The experimental setup involved measuring vertical displacement corresponding to different values of pullout forces. The results were then compared to numerical results obtained from a PLAXIS 3D model with HS-small. The experimental and numerical results showed good agreement, demonstrating the effectiveness of the numerical model in simulating real-world geotechnical applications. The study provides valuable insights into the pullout behavior of a pile in soil with specific density and can be used to improve the design and construction of geotechnical structures. The difference between experimental results and numerical predictions was in acceptable values.

Open Access: Yes

DOI: 10.30572/2018/KJE/140207

Motives underlying water sport tourist behaviour: a segmentation approach

Publication Name: World Leisure Journal

Publication Date: 2021-01-01

Volume: 63

Issue: 1

Page Range: 109-127

Description:

Sport tourism is a heterogeneous phenomenon with diverse motivations. However, the field of water sport tourism has not yet been intensely analyzed. The purpose of this study was twofold. Firstly, the study aimed to unfold the consumer profile of water sport tourists. Secondly, the role of demographic variables and behavioural attributes concerning flow experience in the activities was unveiled. Since flow has the potential of sustaining participation in physical activity pursuits as well as raising destination loyalty, its analysis in the field of leisure and tourism is of utmost interest. A quantitative research method was chosen. The subjects were 297 Hungarian water sport participants. Data were analyzed through k-means clustering and a multivariate general linear model using SPSS software. First, the cluster analysis yielded four clusters based on sport and tourism motivations, namely: Sport-oriented, Leisure-ignoring, Leisure-oriented, Social-oriented groups. Second, in the “Absorption in the Activity” dimension of flow experience, females demonstrated higher scores than males, and participants showed significant differences according to their skill levels. Furthermore, as a predictor variable, flow Absorption influenced expenses on sport lessons, while desired skill level affected the frequency of practising. These findings contribute to reaching water sport tourists more adequately.

Open Access: Yes

DOI: 10.1080/16078055.2021.1888002

Elaboration and characterization of composite material based on epoxy resin and Cynara scolymus fibers: Weibull statistics analysis

Publication Name: Journal of Materials Research and Technology

Publication Date: 2026-03-01

Volume: 41

Issue: Unknown

Page Range: 6512-6527

Description:

The research will fill the increasing demand of sustainable composite materials by designing and characterizing an epoxy based biocomposite that is reinforced with natural fibers that are derived through the Cynara scolumus (artichoke stem) agricultural waste. The study methodically examines how fiber reinforcement influences the performance of the composite under a controlled extraction of the fibers, and also the unidirectional laminates of the composite were produced with single, double, and triple ply. The fibers were methodologically described in physical properties with the help of water absorption kinetics based on the Peleg equation, and mechanical performance with tensile tests and impact tests according to the ASTM standards, including SEM and EDX tests. The most important findings include the fact that the mechanical properties are greatly increased with the number of fiber plies: single-ply composite reached the ultimate tensile strength of about 15 MPa, double-ply composite tensile strength was 32 MPa, and the triple-ply composite tensile strength was 60 MPa with better strain at break (about 2.2%). The resistance to impact also improved with the number of ply and the adhesion of fibers to the matrix was also confirmed by SEM with a small number of voids and EDX gave a fiber composition of 56.49% carbon and 34.05% oxygen. The paper presents the new application of the Cynara scolymus fibers, which are an untested agricultural waste, in epoxy composites, and is the first use of Weibull statistical analysis to describe the consistency and reliability of these fibers as a sustainable reinforcement. The paper concludes that Cynara scolymus fibers are an effective, renewable reinforcement, with a very good balance of low density, better specific strength, and acceptable moisture uptake, thus contributing to the valorization of agricultural residues to support the eco-friendly structural and semi-structural composites.

Open Access: Yes

DOI: 10.1016/j.jmrt.2026.02.141

Examining the impact of Islamic work ethics on employee voice behavior: mediating effect of felt obligation for constructive change and moderating role of sanctification of work

Publication Name: Cogent Psychology

Publication Date: 2024-01-01

Volume: 11

Issue: 1

Page Range: Unknown

Description:

There has been an increase in ethical misconduct among employees of service organizations which has fostered the need for awareness about such ethical practices that may promote employees’ constructive behaviors. The current study aims to extend the work on Islamic work ethics by studying its impact on influencing employee voice behavior through the underlying link of employee felt obligation for constructive change. It is proposed that employee sanctification may further serve as a boundary condition and enhance the positive relationship between Islamic work ethics and felt obligation for constructive change. Data (n = 343) felt obligation for constructive change, and both dimensions of voice behavior were collected from employees working in the health sector of Pakistan in three-time lags through questionnaires. Results of the study supported the mediation of felt obligation for constructive change between Islamic work ethics and employee voice behavior. Employee sanctification moderates the relationship between Islamic work ethics and felt obligation for constructive change. The findings of the study provide theoretical and practical implications. Limitations of the research and future directions have also been discussed.

Open Access: Yes

DOI: 10.1080/23311908.2024.2348860

Advancing rapid visual screening method: An AI-integrated and automated data-driven approach for building vulnerability assessment

Publication Name: Earthquake Engineering and Engineering Vibration

Publication Date: 2026-04-01

Volume: 25

Issue: 2

Page Range: 467-490

Description:

Buildings constructed prior to the implementation of seismic design standards or those built based on lower standards are susceptible to earthquake risks, resulting in substantial loss of life and property during an imminent earthquake. Although conventional rapid visual screening (RVS) methods have been extensively developed, both nationally and in the literature, they have limitations in accurately determining the vulnerability of buildings. Additionally, RVS methods developed on the basis of a single algorithm have limitations. Therefore, this study extends the existing body of work by integrating multiple AI algorithms, including fuzzy logic, machine learning, and neural networks, in the context of building damage data from the 2015 Gorkha earthquake, overcoming the limitations of previous studies by introducing an automated AI-based RVS methodology that enhances accuracy, transparency, and adaptability. The newly developed RVS method demonstrates an accuracy rate of 45.89% for testing in the three-class classification, while also delivering promising results in the two-class classification, with an accuracy rate of 60%, surpassing both conventional RVS methods and the baseline accuracy rate.

Open Access: Yes

DOI: 10.1007/s11803-026-2381-5

NeuralODE-based Parameter Identification of the Three Chamber Model of the Circulatory System

Publication Name: Iccc 2025 IEEE 12th International Joint Conference on Cybernetics and Computational Cybernetics Cyber Medical Systems Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 161-166

Description:

In cases of Acute Circulatory Failure, fluid therapy is a commonly used intervention to stabilize heart function. However, the effectiveness of fluid therapy is not directly predictable, and the therapy can also be harmful. Physiological models can be used to predict fluid responsiveness - describing the effectiveness of fluid therapy for the patient - but require solving complex parameter identification problems. The current study aims to develop a Physics Informed Neural Network, specifically a NeuralODE-based parameter identification method for the Three Chamber cardiovascular model, which has the potential to be used to define a novel perfusion marker. The method is developed and validated on a clinical data set collected in model animal experiments.

Open Access: Yes

DOI: 10.1109/ICCC64928.2025.10999147

Determination the basic network algorithms with gains

Publication Name: Studies in Computational Intelligence

Publication Date: 2009-12-01

Volume: 243

Issue: Unknown

Page Range: 447-456

Description:

Several optimalization algorithms have been proposed for the solution of the basic network flow algorithms, such as the minimal and the multiterminal minimal path of a network having cost (distance) function, maximal flow of a capacitated network. In this paper we present these algorithms in a special network in which on the edges a gain function is given. On the edge (x,y) of the network a t(x,y) transportation cost is defined. In the course of the transportation on the edge (x,y) the goods loose a part of there weight. If one unit of goods is transported from point x to point y then k(x,y) unite of goods arrive at point y, where 0

Open Access: Yes

DOI: 10.1007/978-3-642-03737-5_32