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Found 6342 publications
Integrated urban air pollution dispersion modelling framework and application in air quality prediction of the city of győr
Publication Name: Harmo 2016 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes Proceedings
Publication Date: 2016-01-01
Volume: 2016-May
Issue: Unknown
Page Range: 410-414
Description:
Model accuracy versus model running time - urban air pollution dispersion modellers have to balance between them when selecting models to be implemented. CFD based models seem to be the best candidates for an accurate model that can be validated at urban scale at highest level on the price of a longer running time. In this paper we shall introduce 3DAirQC software framework which addresses a portable and validated CFD model for air quality prediction and control.
Open Access: Yes
DOI: DOI not available
Evaluating the role of blue-green infrastructures in mitigating climate change: a case study of the Hungarian “Green City” program
Publication Name: Clean Technologies and Environmental Policy
Publication Date: 2026-05-01
Volume: 28
Issue: 5
Page Range: Unknown
Description:
Urban environments are increasingly vulnerable to climate change, with extreme weather events expected to become more frequent and severe. This paper addresses sustainable urban development and the importance of stormwater retention, integrating adaptation and mitigation strategies. It evaluates the publicly funded Hungarian “Green City” program’s water management, focusing on blue-green infrastructures. The 198 implemented projects in the program were assessed for green credentials, vegetation concepts, and rainwater retention using public databases of real municipal data and Google Earth spatial analyses rather than hypothetical scenarios. A lifetime climate change impact assessment with sensitivity analysis was conducted using two case studies from the “Green City” program, highlighting the benefits of prioritizing rainwater over tap water for irrigation. The study proposes a three-pillar—environmental as operational carbon footprint, economic as extended net present value (NPV), and social as accessibility and recreational benefit—evaluation method for urban blue-green developments. It found that many projects rely on tap water irrigation, thus resulting in higher lifetime carbon emissions. The financial assessment of carbon footprint within the extended NPV method emphasizes the need for improved green area irrigation strategies. By modernizing irrigation practices and implementing effective rainwater retention measures, blue-green infrastructures can significantly reduce carbon dioxide emissions while improving long-term economic performance and social benefits through improved usability. The research offers valuable insights into the role of blue-green infrastructures in urban development to combat climate change. The combined three-pillar framework integrating LCA to assess green projects is a transferable decision-support tool that can be adapted to locally available data, advocating the use of rainwater over tap water to achieve environmental, social, and economic benefits. Unlike earlier studies that used hypothetical scenarios, this research relies on the implemented projects of the “Green City” development program with their observed designs and available real data, thus providing a framework for urban blue-green implementations to integrate sustainable practices and effectively address the challenges posed by climate change.
Open Access: Yes
Addressing the Impact of Resolution Scaling on YOLO Performance for Brain Tumor Detection Through Optimized Network Depth/Width Adjustments
Publication Name: Applied Sciences Switzerland
Publication Date: 2026-05-01
Volume: 16
Issue: 9
Page Range: Unknown
Description:
Deep learning-based object detectors, particularly You Only Look Once (YOLO) architectures, have demonstrated strong performance in automated brain tumor detection. However, the impact of resolution scaling on tumor localization accuracy remains underexplored, especially under conditions where image resolution is reduced. This study aims to investigate how lowering the input resolution from 640 × 640 to 480 × 480 affects detection performance and whether optimized depth/width scaling and hyperparameter tuning can compensate for the expected loss of spatial detail. In this work, we propose an optimized YOLO-based framework for brain tumor detection and localization in MRI scans, building upon the method “Addressing the Impact of Resolution Scaling on YOLO Performance for Brain Tumor Detection through Optimized Network Depth/Width Adjustments.” Our model, an enhanced variant of the BGF-YOLO architecture, is specifically tailored for the challenges of medical imaging. The proposed network features both architectural and training-level optimizations. We used a publicly available dataset from Kaggle that consists of 500 training images, 201 validation images, and 100 test images. Experimental analysis demonstrates that while reducing input resolution alone degrades performance, integrating targeted modifications specifically increases network depth and width. In addition, advanced training strategies such as MixUp augmentation, dropout regularization, AdamW optimization, cosine learning rate scheduling, and finely tuned learning rate ranges lead to substantial performance gains. The optimized model achieves a precision of up to 0.858, a recall of 0.943, mAP50 of 0.946, and mAP50–95 of 0.672. These results not only outperform the reduced-resolution baseline but also approach, and in some cases surpass, the original high-resolution BGF-YOLO setup.
Open Access: Yes
DOI: 10.3390/app16094320
The Development of Mood Repair Response Repertories: I. Age-Related Changes Among 7- to 14-Year-Old Depressed and Control Children and Adolescents
Publication Name: Journal of Clinical Child and Adolescent Psychology
Publication Date: 2019-01-02
Volume: 48
Issue: 1
Page Range: 143-152
Description:
The purpose of this study was to test developmentally informed hypotheses about regulatory responses to sadness that attenuate versus exacerbate it (adaptive versus maladaptive mood repair responses, respectively) across late childhood, early adolescence, and mid-adolescence. In a multi-site study in Hungary, clinic-based, 7- to 14-year-olds with Diagnostic and Statistical Manual of Mental Disorders’ (4th ed., text rev.) depressive disorders (N = 697; 55% male) and age/sex matched (at 1:2) nondepressed, school-based controls (N = 1,394) reported on their usual responses to sadness/dysphoria; parental reports were obtained separately. Adaptive and maladaptive response repertoire scores were compared across ages within and across subject groups, and by informant, controlling for confounds. Contrary to Hypothesis 1, older (vs. younger) youths in both groups reported fewer adaptive regulatory responses. Maladaptive response repertoires were unrelated to age among controls but significantly increased with age among depressed youths, particularly the girls. Partially supporting Hypothesis 2, subject groups differed in age-related trajectories of mood repair repertories, but not as expected (e.g., younger depressed children reported larger adaptive response repertoires than did controls). Parental reports revealed no developmental changes in offspring’s mood repair repertories. Parent-offspring reports were most discordant for younger (vs. older) offspring, tended to converge around age 11, and were consistently and significantly larger in the depressed sample. Self-reported adaptive mood repair repertories appear to have been laid down by late childhood and then undergo “trimming” across ages 7–14 years. The extensive maladaptive mood repair response repertoires of depressed youths, which increased with age, distinguish them primarily from controls. Therefore, reducing maladaptive regulatory responses to sadness should be a priority when treating depressed youths.
Open Access: Yes
AR Solution for Indoor Drone Motion Forecasting
Publication Name: Springer Proceedings in Advanced Robotics
Publication Date: 2024-01-01
Volume: 33 SPAR
Issue: Unknown
Page Range: 60-64
Description:
In case of indoor drone applications three different areas are classified: inventory management, indoor intra-logistics and inspection & surveillance. For each drone movement there is an optimal trajectory where the time for reaching point B from point A can be minimized. This optimal trajectory cannot be executed in case a human is blocking the route. In order to avoid collisions with the drone, either the drone trajectory has to be modified in real-time (which might cost additional time and energy in case the drone delivers a heavy object) or the human operator has to be warned with a pre-defined understandable signal so he/she can modify his/her movement in time. In this paper, the implementation of an Augmented Reality solution (previously tested in an industrial relevant environment on a collaborative robot) using a micro drone is presented.
Open Access: Yes
Investigation of the Causes of Railway Track Gauge Narrowing
Publication Name: Vehicles
Publication Date: 2023-09-01
Volume: 5
Issue: 3
Page Range: 949-977
Description:
On behalf of MÁV Hungarian State Railways Ltd., the authors carried out a research and development (R&D) project on behalf of the Budapest University of Technology and Economics, Department of Highway and Railway Engineering, on the subject of “Research and investigation of the causes of gauge narrowing by finite-element modeling in running track and turnout, and under operational and laboratory conditions”. The main objective of the research was to investigate the causes of localized defects of gauge narrowing in railway tracks based on machine and manual track measurements, laboratory measurements, and theoretical considerations. The measures proposed as a consequence of identifying the causes could significantly contribute to reducing the number and extent of local defects in the future. Furthermore, the research aims to develop new theories in less scientifically mature areas and provide procedures and instructions that professional engineers and practitioners can easily apply. The main areas of research, which are not exhaustive, are as follows: (i) the evaluation of the measurement results provided by track geometry measuring and recording cars; (ii) on-site investigations in the railway track in terms of gauge and rail profile measurements; and, based on these, (iii) the selection of concrete sleepers, which were removed from the track and subjected to more detailed geometrical investigations in the laboratory, together with the components of the rail reinforcement; (iv) the track–vehicle connection, tight running in straight and curved track sections under track confinement; (v) modeling of the stability and deflection of the rail when the rail fastenings lose part of their supporting function; and (vi) finite element modeling of the concrete sleepers under operating conditions such as slow deformation of the concrete, temperature variation effects, and lateral support on the ballast. In the already-narrowed track section, the tight vehicle running is not the cause of the track gauge narrowing but a consequence, so it is not investigated in this paper.
Open Access: Yes
Influence of the Tensor Product Model Representation Of QLPV Models on The Feasibility of Linear Matrix Inequality
Publication Name: Asian Journal of Control
Publication Date: 2016-07-01
Volume: 18
Issue: 4
Page Range: 1328-1342
Description:
The present paper proves that the vertexes of the tensor product (TP) model type polytopic representation of a given quasi linear parameter varying (qLPV) state-space model strongly interfere with the feasibility regions of linear matrix inequality (LMI)-based control design methods. Furthermore this is valid both for the LMI-based feasibility of the controller and the observer design, but the influence differs for the controller and the observer system components. More specifically, the factors influencing the feasibility regions of the LMI-based control design include: (i) the manipulation of the vertexes' position; and (ii) the size and complexity of the TP model type polytopic representation, i.e. the number of the vertexes contained in the TP model representation. The proof is based on a complex control design example, where the influence of these factors stated above can be easily and clearly indicated. Furthermore the paper shows via the example that the maximal parameter space of the controller and observer also depends on these factors. The example model consists of the complex Nonlinear Aeroelastic Test Apparatus (NATA) model of the three degree of freedom aeroelastic wing section model including Stribeck friction and the control design method is based on the relaxed TP model transformation-based control design framework that supports the flexible manipulation of these factors.
Open Access: Yes
DOI: 10.1002/asjc.1238
Bird–Borrelia Interactions: A Historical Review and Their Significance for Human Disease Ecology
Publication Name: Microorganisms
Publication Date: 2026-05-01
Volume: 14
Issue: 5
Page Range: Unknown
Description:
Research increasingly identifies wild birds, particularly long-distance migratory species, as epidemiologically relevant hosts and vectors for tick-borne Borrelia species that pose risks to both avian and human health. This review contextualizes avian-associated Borrelia research historically and microbiologically, showing the role of avian hosts in the ecology of agents causing relapsing fever and Lyme borreliosis. We identify key publications that trace the evolution of Borrelia research—from early microscopic observations of spirochetes to the modern molecular and serological evidence. The review collects literature on the process by which Borrelia gained early scientific attention due to its characteristic morphology and elevated bloodstream concentrations during septicemic phases, which enabled early etiological links between the microbe and disease. It follows the recognition of avian spirochetosis caused by Borrelia anserina and charts the shift in focus after the discovery of Borrelia burgdorferi sensu lato (Subgen. novum recomm. Borreliella, Lyme-group Borrelia). Publications listed show that birds can transport infected human-parasitic ticks over long distances and, in certain bird species, selectively amplify Lyme-group Borrelia species, especially Borrelia garinii, which has the highest temperature tolerance and is thus potentially viable in avian hosts. The literature supports the role of birds in maintaining and disseminating Borrelia infections and infected ticks across continents.
Open Access: Yes
The examination of the corporate governance system at supplier companies: Empirical evidence from Hungarian automotive industry
Publication Name: Journal of Competitiveness
Publication Date: 2016-06-01
Volume: 8
Issue: 2
Page Range: 70-86
Description:
Information management and the organizational structure can contribute to the firms' competitive advantage and business success. In the first part of our study we summarize the results we obtained by analyzing the corporate governance system in connection with the structure of enterprises and their decision making. Then we have an insight into the leadership style of the suppliers from the point of view of the participation of the staff in decision making. In the second part we analyze the information management of the supplier companies on the basis of the answers from the management. We evaluate the strategic and the operational concept of information management, proceeding from the strategy-making activity. The accomplishment of permanent renewal and willingness to innovate are both indispensable for achieving elasticity in organizations. We explore how the suppliers introduce innovation in connection with the firm structure and the information system. Finally, we consider how some essential company characteristics, namely company size, ownership, region, and the width of the product assortment, affect various company functions.
Open Access: Yes
