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Found 6374 publications
Can automatic reactions mirror exercise dependence?
Publication Name: International Journal of Sport and Exercise Psychology
Publication Date: 2025-01-01
Volume: 23
Issue: 7
Page Range: 1207-1233
Description:
While physical activity (PA) has numerous health benefits, in rare cases it can become addictive and lead to adverse health effects. Automatic reactions to addiction-related cues are a hallmark of addiction, however, their association with exercise dependence (ED) remains unknown. This research examined the links between ED and automatic reactions to PA-related cues in physically active individuals with low-to-moderate levels of ED through two studies. Study 1 (N = 65) used a dot-probe task with eye-tracking to assess the association between attentional bias toward PA and ED scores measured by the Exercise Dependence Scale-Revised. Study 2 (N = 125) used a manikin task and a single-category implicit association test to examine the association of approach-avoidance tendencies and implicit affective attitudes toward PA with ED scores. Results revealed ED scores were positively associated with behavioral indicators of attentional bias (i.e., reaction times), but not with eye-tracking indicators (i.e., first-gaze localization, gaze duration). Similarly, ED scores were unrelated to approach-avoidance tendencies or implicit affective attitudes toward PA. Therefore, our research provides limited evidence supporting the hypothesis that automatic reactions to PA may reflect a “signature” of ED. Our findings do not robustly support the link between automatic processes and ED, raising questions about whether the psychological mechanisms involved in ED might differ from those observed in other addictive behaviors where automatic processes are key. However, due to our sample's low-to-moderate levels of ED, definitive conclusions cannot be drawn. Further research with individuals exhibiting addiction-related dependence, personalized stimuli, and neurophysiological methods is needed.
Open Access: Yes
Performance of PMMA and SBS Modified Asphalt Mixtures in Railway Supplementary Layers and Road Pavements
Publication Name: Periodica Polytechnica Transportation Engineering
Publication Date: 2025-01-01
Volume: 53
Issue: 3
Page Range: 334-346
Description:
The use of recycled waste elastic materials provides a cost-effective and environmentally friendly option for further modifying the performance of asphalt mixtures. Therefore, the effects of different proportions of (PMMA) polymethyl methacrylate derived from waste plastic material were evaluated using the Indirect Tensile Strength Test (ITST) of lab-prepared specimens. Since numerous methods of modifying the conventional asphalt binder are available, in this research, the virgin binder was modified with 1%, 2%, 3%, 4% and 5% PMMA for evaluating optimum performance proportions in terms of Marshall stability and ITST of asphalt mixtures. Furthermore, stiffness modulus tests were performed at frequency values of 1.2 Hz, 1.9 Hz, 3.9 Hz and 5 Hz. The effect of the loading rate from 10 MPa/s to 70 MPa/s was evaluated with an increment of 10 MPa/s for all proportions. Moreover, finite element modeling was performed using the data obtained from dynamic modulus tests with modified Burger's Logit model for evaluation of rutting progression. Results show improved performance of asphalt mixtures with the addition of PMMA, leading to variation in properties including penetration, softening point, Marshall stability and rutting resistance. It is recommended to use 5% PMMA for increased indirect tensile strength, Marshall stability, rutting and fatigue damage resistance.
Open Access: Yes
DOI: 10.3311/PPtr.39763
Cluster analysis selecting tools using quadri partitioned Pythagorean neutrosophic normal interval-valued set with an aggregation operators
Publication Name: Journal of Mathematics and Computer Science
Publication Date: 2025-01-01
Volume: 41
Issue: 4
Page Range: 487-518
Description:
The goal of a quadri partitioned Pythagorean neutrosophic normal interval-valued fuzzy set (QPPNNIVFS) is to provide the neutrosophic sets a more comprehensive mathematical foundation. QPPNNIVFS divides the indeterminacy component into unknown and contradiction classes. The several aggregating operations that have been understood thus far are discussed here. The fuzzy weighted QPPNNIVFW averaging (QPPNNIVFWA), QPPNNIVFW geometric (QPPNNIVFWG), generalized QPPNNIVFW averaging (GQPPNNIVFWA) and generalized QPPNNIVFW geometric (GQPPNNIVFWG) are considered as a novel concept. We show that algebraic structures like associative, distributive, idempotent, bounded, commutative, and monotonic characteristics are satisfied by QPPNNIVFSs. We illustrate the practical applications of increased Euclidean distance, Hamming distance, score, and accuracy values. Unless there is a mathematical justification for selecting one cluster technique over another, the clustering strategy must be selected empirically. An algorithm that performs well on one set of data will not perform well on another. There are several approaches of conducting cluster analysis. These include social network analysis, distribution-based, density-based, centroid-based and hierarchical. Therefore, it is clear that the natural number θ has a big impact on the models. To illustrate the comparison analysis, sensitivity analysis and the validity of our suggested methodologies are also conducted. The outcomes will be very helpful to decision makers in handling uncertain and conflicting data effectively.
Open Access: Yes
Contribution to knowledge of Uropodina mites (Acari: Mesostigmata) of Virginia, USA
Publication Name: Acarologia
Publication Date: 2025-01-01
Volume: 65
Issue: 4
Page Range: 998-1010
Description:
During the investigation of the Uropodina mites of Virginia state (USA) two previously known species (Trachytes balazyi Wiśniewski & Hirschmann, 1994 and Jedediella hoffmani Kontschán, 2017) are discovered in some new localities. Besides the known Uropodina mites, two new species are discovered and described from this state. Trachytes jokaii n. sp. differs from the congener in the shape of the wide and ribbed anterior margin, the shape of the female genital shield and the sculpture of the ventral shield of females. A new key to the North American Trachytes species is also presented. The second species Klebensbergia virginiana n. gen., n. sp. is a unique Uropodina mite in the temperate climate. Only the tropical Penicillaturopoda Hirschmann, 1979 is similar to the new genus.
Open Access: Yes
DOI: 10.24349/tb3j-gb36
Unpacking IT-Driven Digital Transformation in Marketing 4.0 Through a Sociomaterial Gioia Lens
Publication Name: Journal of Global Information Management
Publication Date: 2025-01-01
Volume: 33
Issue: 1
Page Range: Unknown
Description:
The application of Artificial Intelligence (AI)-enabled technologies into the retail environment has led to the emergence of the Marketing 4.0 paradigm, which integrates customer digital and physical touch-points to deliver value. The study used sociomateriality as a theoretical lens to examine how AI-driven marketing practices were enacted, negotiated, and established in retail organizations through human-material entanglements. The crowdsourcing platform Prolific Academic was used to collect data from retail professionals through open-ended essays. Data were analyzed using Gioia's methodology, which led to the identification of five dimensions—sociomaterial entanglement, material agency, situated practices, temporal emergence, and sociomaterial identity—which aligned with sociomateriality theory, encouraging the adoption of Marketing 4.0 in the retail context. The study developed a holistic framework to visualize the relationships that emerged from the participants' responses, addressing the criticalities of the Marketing 4.0 ecosystem.
Open Access: Yes
DOI: 10.4018/JGIM.393626
THE ROLE OF TERRITORIAL IDENTITY IN THE SUSTAINABILITY OF TOURISM IN HUNGARY
Publication Name: Geojournal of Tourism and Geosites
Publication Date: 2025-01-01
Volume: 58
Issue: 1
Page Range: 255-232
Description:
There is evidence of a strong link and close interaction between territorial identity, whether at the local level or defining a larger territorial unit, and tourism, and several aspects of this have been discussed in the literature. The National Tourism Strategy 2030 in Hungary, among its strategic objectives, pays special attention to the creation and strengthening of national identity and attachment, stating that strengthening domestic tourism contributes to the domestic population's knowledge of Hungary's values and heritage and to the experience of its national identity. Identity is an important pillar of social sustainability, but it also has a role to play in the marketing of destinations and can be investigated from the tourist's point of view as well. The aim of this research is to examine the relationship between tourism and territorial identity from different angles and to confirm the potential for synergies between the two. The novelty of the paper is that it examines territorial identity in the context of sustainable tourism development. The research analyses territorial identity in the context of social sustainability in the designation of new tourism areas and, in parallel, their contribution to sustainable development goals. By analysing and summarising the identity-forming elements of destinations, the relationship between identity, tourism, and social sustainability will be defined. The relationship between tourism and territorial identity is well-documented, with organisations responsible for marketing and branding in the sector utilising this relationship to a great extent. The relationship is employed as a distinctive, unique feature, as part of the development of a regional image and along the lines of cultural identity. The result indicates the starting position of territorial identity, identified as a key indicator of tourism competitiveness, which is changeable and constantly evolving along the dimensions of strategic and functional identity, independently of tourism. The added value of this analysis could be to show which aspects of destinations need to be developed and which areas need to be strengthened in relevance of territorial identity. The enhancement of territorial identity has been demonstrated to exert a favourable influence on tourism demand, whilst concomitantly contributing to the enhancement of the quality of life experienced by the local population. This is achieved by establishing and adhering to the fundamental principles of sustainable and responsible tourism, which is in harmony with the local community.
Open Access: Yes
Adaptive Vehicle Trajectory Clustering Based on Computer Vision
Publication Name: Lecture Notes in Networks and Systems
Publication Date: 2025-01-01
Volume: 1258 LNNS
Issue: Unknown
Page Range: 344-360
Description:
Intelligent Transportation Systems is a rapidly evolving and extensively researched field. The development of tools and methods necessitated the appearance of a new concept, Cognitive Mobility, covers greater integration of transport related areas. Our research goes beyond simple image processing and statistical analysis and includes cognitive elements of mobility, for example, gives methods for adaptive analysis of typical vehicle behavior in junctions and helps in decision making for better utilization of infrastructure. In this work, we present an adaptive approach to interpreting traffic scenes. This approach uses the YOLOv7 object detector and DeepSORT tracking algorithm to generate trajectories of moving vehicles in video recordings captured from a stationary viewpoint. The paper examines and compares various techniques for clustering the vehicle trajectories, such as using clustering algorithms to group vehicles based on their entry and exit points within the video scene. Furthermore, we report the results of clustering parameter sensitivity tests performed on the video dataset we created. This control over the granularity of the clustering enables generating street-level or lane-level traffic data from the same recordings. Finally, we demonstrate some practical applicability of the method through illustrative examples, showcasing how the generated traffic data can be used to monitor and analyze traffic patterns, identify congestion points, and inform transportation planning and decision-making.
Open Access: Yes
Life Cycle-Based Environmental Assessment of Hydrogen Production Mixes Projected in the Hungarian Hydrogen Strategy Using the Environmental Footprint Methodology
Publication Name: Chemical Engineering Transactions
Publication Date: 2025-01-01
Volume: 121
Issue: Unknown
Page Range: 61-66
Description:
Hydrogen (H2 ) is increasingly cited as a key element of future sustainable energy systems. Environmental assessment of H2 production is gaining importance in meeting climate goals. While current literature mainly focuses on reducing CO2 emissions, other life cycle impacts – such as effects on ecosystems, human health, and resource use – are often underestimated. In the Hungarian context, this study represents the first attempt to estimate the environmental impacts of the national Hydrogen Strategy. This study aims to fill this gap through a quantitative environmental evaluation of hydrogen production pathways projected in the Hungarian Hydrogen Strategy. Based on life cycle assessment (LCA) using the Sphera database, three major production technologies were modelled: steam methane reforming (grey), reforming with carbon capture (blue), and solar PV-based electrolysis (green). Results show that the total environmental burden of hydrogen production in Hungary could be halved by 2050 compared to 2020, while the specific carbon footprint of H2 production could be 75 % lower than today. However, this projection excludes expected efficiency improvements, as much of the future capacity has yet to be built.
Open Access: Yes
DOI: 10.3303/CET25121011
Automated Corrosion Feature Matching Based on In-Line Inspections Using Point Pattern Alignment and Proximity–Overlap Optimization
Publication Name: IEEE Access
Publication Date: 2025-01-01
Volume: 13
Issue: Unknown
Page Range: 197996-198015
Description:
Corrosion is a leading cause of pipeline failures, responsible for up to a third of reported incidents. Given the extensive length and limited accessibility of pipelines, operators rely on frequent in-line inspections (ILIs) to detect and quantify corrosion defects. Feature matching between successive ILIs is therefore utilized to align and compare this data, enabling the identification of corrosion evolution and behavior. However, measurement uncertainties, nonuniform corrosion growth, and spatial interactions between adjacent defects pose significant challenges in achieving accurate matching. This study proposes a two-phase feature matching model designed to address these limitations. The first phase performs Iterative Closest Point (ICP) alignment with a context-aware nearest neighbor selection strategy based on Directional Epsilon Neighborhood Clustering (DENC) to isolate stable feature pairs and minimize ambiguous associations in densely clustered defect regions. The second phase applies a novel proximity–overlap-informed correspondence optimization using linear programming to identify matches and outliers by jointly considering feature positioning and geometric attributes. The model’s effectiveness is evaluated on a 1116 m subsea pipeline segment involving two consecutive inspections reporting 1305 and 1491 features, respectively. Compared to three state-of-the-art models, the proposed approach achieves a recall, precision, and F1 score of 99.2%, demonstrating substantial improvements in accuracy, stability, and robustness to inspection and corrosion-related uncertainties. These results confirm the model’s ability to address critical limitations in existing approaches and underscore its potential to enhance pipeline integrity assessments.
Open Access: Yes
