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Found 5157 publications

Effectiveness of High-Intensity Therapy in Rehabilitation of Parkinson’s Disease Patients

József Tollár Péter Prukner Istvan Drotar Nándor Prontvai Szilvia Kóra Petra Kós György Wersényi

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-06-01

Volume: 15

Issue: 11

Page Range: Unknown

Description:

Parkinson’s disease (PD) is a progressive movement disorder with no cure. In this randomized controlled study, 100 patients with PD were assigned to four intervention groups (Exergame, Cycling, Agility, and Robot) for 14 weeks. This study evaluates the effectiveness of high-intensity therapy in a randomized clinical trial. Exergaming, cycling, agility, and robot therapies improved motor function, postural stability, and cardiovascular health. Heart rate monitoring and Borg Scale ratings confirmed the safety and adaptability of high-intensity training, with patients sustaining moderate-to-high exertion without adverse effects. Significant improvements were observed in gait speed (+0.30–0.50 m/s), Functional Independence Measure (FIM) (+25–30 points), and Berg Balance Scale scores. Integrating high-intensity, functional movement-based therapies into PD rehabilitation may offer superior motor, gait, and cardiovascular benefits compared to conventional methods.

Open Access: Yes

DOI: 10.3390/app15115890

Dem-driven investigation and AutoML-Enhanced prediction of Macroscopic behavior in cementitious composites with Variable frictional parameters

M. Movahedi Rad Vahid Shafaie

Publication Name: Materials and Design

Publication Date: 2025-06-01

Volume: 254

Issue: Unknown

Page Range: Unknown

Description:

This study presents a numerical investigation and predictive modeling framework to evaluate the influence of microscale frictional parameters on the mechanical behavior and failure mechanisms of cementitious composites. In the first phase, discrete element modeling (DEM) was employed to analyze the effects of bonded friction angle and non-bonded friction coefficient on the stress–strain response, failure evolution, and macro-scale properties. The results revealed a distinct transition from tensile to shear-dominated failure modes beyond a critical friction angle, accompanied by notable changes in compressive strength and deformation characteristics. Additionally, the role of non-bonded friction coefficient in post-failure behavior was identified, emphasizing its influence on load-redistribution. In the second phase, an AutoML-driven artificial neural network (ANN) was optimized via grid search, selecting an optimal four-layer model to predict macroparameters from microscale DEM inputs. The proposed ANN demonstrated high predictive accuracy, effectively capturing nonlinear dependencies while significantly reducing the need for additional numerical simulations. This integration of DEM and AI-based predictive modeling provides a computationally efficient, scalable solution for material characterization, enabling faster, data-driven insights into cementitious composite behavior without reliance on extensive simulation campaigns.

Open Access: Yes

DOI: 10.1016/j.matdes.2025.114069

Montelukast Improves Urinary Bladder Function After Complete Spinal Cord Injury in Rats

Peter Törzsök Lukas Lusuardi Sophina Bauer Karin Roider Julia Tevini Elena E. Keller Michael Kleindorfer Ludwig Aigner Thomas Felder

Publication Name: International Journal of Molecular Sciences

Publication Date: 2025-06-01

Volume: 26

Issue: 12

Page Range: Unknown

Description:

Bladder dysfunction is among the most drastic and quality-of-life-reducing conditions after spinal cord injury (SCI). Neuroinflammation in the lower urinary tract (LUT) after SCI could be a key driver of neurogenic bladder dysfunction and tissue fibrosis. Leukotrienes, a group of highly active lipid mediators, are potent inflammatory mediators. Here, we explored the potential of early montelukast (MLK) therapy, a cysteinyl leukotriene receptor 1 antagonist, on LUT function and structure four weeks after severe SCI in rats. Rats (strain Lewis, female, n = 50) received a permanent bladder catheter, followed by a complete T9 spinal cord transection. MLK was given daily, starting on day one post-injury. Bladder and locomotor function were regularly assessed. Bladder tissue was histologically and immunhistochemically analyzed. Post-SCI, MLK concentrations in plasma and cerebrospinal fluid were clinically relevant. MLK improved bladder functionality. MLK had no impact on smooth muscle alignment and uroepithelial integrity at this early SCI time point. This pilot study gave first insights into early, continuous oral MLK treatment with the first promising results of preserved LUT function and possible subsequent improved tissue integrity.

Open Access: Yes

DOI: 10.3390/ijms26125606

A structured framework for HBIM standardization: Integrating scan-to-BIM methodologies and heritage conservation standards

J. Szép Kitti Karolyfi Nóra Géczy Rnin Salah

Publication Name: Digital Applications in Archaeology and Cultural Heritage

Publication Date: 2025-06-01

Volume: 37

Issue: Unknown

Page Range: Unknown

Description:

Heritage conservation demands innovative approaches that integrate advanced technologies with traditional principles to protect monuments and historic buildings. This research investigates the potential of Building Information Modeling (BIM) in heritage conservation, with a focus on developing and adapting workflows tailored to Heritage Building Information Modeling (HBIM). Through a systematic analysis of literature, the research highlights the adaptation of scan-to-BIM methodologies for HBIM creation and their significant role in enhancing preservation efforts. Key technologies, including laser scanning, photogrammetry, and machine learning, are discussed for their contributions to generate accurate and information-rich digital models of heritage structures. Furthermore, this work discovers critical specifications and proposes a structured framework for balancing these specifications within HBIM workflows. This framework addresses challenges such as standardization, scalability, and adaptability, which are essential for accurately capturing the complexity of heritage buildings. By examining these issues, the study identifies opportunities to improve HBIM's capability to monitor, document, and manage culturally significant assets. The findings provide a comprehensive understanding of HBIM processes and their potential to support the effective conservation of heritage.

Open Access: Yes

DOI: 10.1016/j.daach.2025.e00420

Mosses in Urban Environments as Passive Biofilters and Organisms Impacted by Asbestos-Contaminated Habitats

Gergely Zoltán Macher Dóra Beke

Publication Name: International Journal of Environmental Research and Public Health

Publication Date: 2025-06-01

Volume: 22

Issue: 6

Page Range: Unknown

Description:

Asbestos cement materials represent a persistent source of environmental contamination, particularly in urban areas where weathering facilitates the release of hazardous chrysotile fibres. Despite extensive research on the human health impacts of asbestos, ecological interactions remain poorly understood. This paper explores the dual role of bryophytes colonising asbestos cement roofing as passive filters that trap airborne fibres and as vulnerable organisms subjected to asbestos-induced stress. Using a synthesis of recent findings, we assess the capacity of mosses to immobilise chrysotile fibres through their dense, mat-like structures, potentially reducing local dispersion. Simultaneously, we examine physiological and biochemical responses to prolonged fibre exposure, including reduced photosynthetic activity and signs of oxidative stress. The findings highlight a paradoxical function of bryophytes: while they contribute to pollution mitigation, they also accumulate contaminants and suffer from sublethal damage. These interactions may have broader implications for contaminant redistribution, particularly through decomposition and trophic transfer. Understanding these dynamics is essential for advancing ecological risk assessments and developing sustainable remediation strategies in asbestos-contaminated habitats.

Open Access: Yes

DOI: 10.3390/ijerph22060838

Development of Magnetic Hysteresis Loop Measurement System for Characterization of 3D-Printed Magnetic Cores

Tamas Orosz Miklos CSIZMADIA Tamás Horváth

Publication Name: Electronics Switzerland

Publication Date: 2025-06-01

Volume: 14

Issue: 11

Page Range: Unknown

Description:

Today, numerous advanced options exist for analyzing and measuring magnetic hysteresis loops and core loss across a broad spectrum of applications. Most of these systems are compact and ready to use, fulfilling the measurement and data processing requirements for laminated iron cores according to the standards. However, modeling newly developed materials with complex structures or the high-frequency behavior of iron cores, and the computation of dynamic hysteresis properties’ temperature dependence, are still challenging problems in the field. Moreover, these standardized measurement tools are relatively expensive, and most of them represent a black box that impedes research and further development. This paper presents the development of a cheap and accessible measurement system that is explicitly designed for recording the hysteresis properties of 3D-printed iron cores. The paper presents a comprehensive overview of the design process, components, circuitry, and simulations integral to this project. The paper presents a completed circuit simulation conducted using LTspice and validation of the prototype’s measurement performance. The measurements obtained with the proposed system show good agreement with those of the reference setup, demonstrating its accuracy and practical applicability.

Open Access: Yes

DOI: 10.3390/electronics14112235

A novel method for structural strength modeling of lamination stacks of electric motors using contact in FEA

Viktor Szabó Korbinian Weber

Publication Name: Results in Engineering

Publication Date: 2025-06-01

Volume: 26

Issue: Unknown

Page Range: Unknown

Description:

The automotive industry is transforming from traditional internal combustion drive systems to alternative ones, mostly based on electric motors. Fueled by strict requirements and high competition on the market, simulation has become an essential part of the development process. The precise structural strength simulation of rotors is extremely difficult, as a consequence of the nonlinear mechanical behavior of the lamination stack. Due to computational limits, this part has traditionally been simulated as a solid structure with orthotropic linear material models. These models were not capable of accurately simulating the axial nonlinear stiffness, the separation / slip of individual sheets or their plastic deformations. The method presented in this article does not have these limitations. By using a stacked shell approach, simulating all of the sheets separately using a contact model developed especially for this purpose, the method can be used to model real rotors using a fair amount of computational resources. The new method contributes significantly to the precision of virtual tests of rotors used in electric drives.

Open Access: Yes

DOI: 10.1016/j.rineng.2025.104699

Young Adults’ Feelings and Knowledge of Climate Anxiety

Ferenc Bakó András Szeberényi

Publication Name: Journal of Sustainability Research

Publication Date: 2025-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

This study investigates the impact of climate anxiety on young adults’ consumer and social behaviour. Data were collected via a questionnaire survey among 696 university students from Széchenyi István University, Budapest Metropolitan University, and Neumann János University. The survey focused on various aspects of climate anxiety, including its frequency, intensity, perceived life impact, emotional responses, and management strategies. The analysis, supported by AI tools, identified two distinct clusters: one with moderate anxiety levels and a strong interest in learning about climate change, and another with higher anxiety levels but less desire for further information. Various statistical models, including Naive Bayes, logistic regression, and random forests, were employed to identify behavioural patterns, with decision trees showing the lowest classification error. The study highlights the significant influence of climate anxiety on the shift towards sustainable consumption and active engagement in climate action. Recommendations for future research include the broader application of deep learning models and extending the study to other demographic groups. Longitudinal data collection is also suggested to track long-term trends and inform effective public policy and communication strategies. The findings emphasise the need for comprehensive approaches to understanding and addressing climate anxiety’s societal impacts.

Open Access: Yes

DOI: 10.20900/jsr20250025

Integrating Artificial Intelligence into Fuzzy Decision Analytics: A Novel Approach to Mitigating Stereotype Threat in Sustainable Business Environments

Gergely Czukor Dragan Pamucar Hasan Dincer Serhat Yuksel Serkan Eti

Publication Name: Journal of Fuzzy Extension and Applications

Publication Date: 2025-06-01

Volume: 6

Issue: 2

Page Range: 371-390

Description:

Preventing the threat of stereotyping is critical for business performance improvements. Because of this situation, businesses must take the necessary precautions. However, these actions have an impact on cost increase for the businesses. The number of studies in the literature performing priority analysis for these factors is quite limited. This situation increases the need for a new study that prioritizes the analysis of these variables. Accordingly, this study aims to evaluate the factors against the stereotype threat in the sustainable business environment. An artificial intelligence model is implemented in the first stage to weigh the experts. In the following stage, selected criteria are evaluated with the help of T-Spherical fuzzy DEMATEL. Thirdly, a comparative analysis was performed using different values. Finally, selected industries are ranked by Spherical Fuzzy RATGOS with respect to the stereotype threat. The weights of the experts can be identified in the analysis process. This situation has a strong contribution to the effectiveness of the findings. It is concluded that training activities are critical to minimizing the threat of stereotypes in companies.

Open Access: Yes

DOI: 10.22105/jfea.2025.480001.1641