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Found 6278 publications
Changes in antibiotic use in Hungarian large pig farms between 2022 and 2024
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2026-01-01
Volume: 148
Issue: 3
Page Range: 131-148
Description:
Background: The intensification of pig production systems has been associated with increased antimicrobial use (AMU), which remains a key driver of antimicrobial resistance (AMR) and a major concern for both veterinary and public health sectors. Monitoring and rationalizing antibiotic usage are crucial to prevent the selection of resistant bacterial strains that pose risks to both animal and public health. Objectives: The aim of this study was to assess the structure and magnitude of antibiotic use as well as related reduction strategies, in three large-scale Hungarian swine herds, based on farm data recorded between January 2022 and June 2024. Materials and Methods: Data were collected using a digital herd health monitoring system covering monthly animal health cases and antibiotic usage. Antibiotic use was evaluated by AMEG classification, active ingredient groups, route of administration (e.g. water, feed, injection), treatment type (therapeutic vs. metaphylactic) and age group (e.g. sows, weaners, fatteners). Quantitative indicators included total mass (mg) and mg/PCU values. Results and Discussion: Antibiotic use declined during the study period, particularly in weaned pigs by 87.6% (corrected mg/PCU: from 341.70 to 42.35). The most frequent clinical problems on the examined farms were enteric and respiratory disorders as well as arthritis. Drinking water medication remained dominant (93.8%), though individual treatments increased in frequency. In 2023, a major shift occurred toward targeted therapeutic use (83.7%) over metaphylaxis (16.3%). The increased proportion of AMEG C category antibiotics and reduced use of AMEG D category substances indicate changing prescribing patterns. Regular treatment logs, vaccination protocols, sensitivity testing and the use of organic acids and probiotics may contribute to a more prudent antibiotic approach. These results confirm the importance of diagnostics-driven treatment and farm-specific interventions in AMR mitigation.
Open Access: Yes
Nearly Zero Energy Residential Buildings in Hungary Before and After 2023
Publication Name: Lecture Notes in Civil Engineering
Publication Date: 2026-01-01
Volume: 796 LNCE
Issue: Unknown
Page Range: 558-569
Description:
Hungary, as a member of the European Union, adapts to the EU’s climate strategy and energy policy, which includes the implementation of the Energy Performance of Buildings Directive (EPBD). The first version of EPBD was published in 2002. A recast was formulated in 2010, which were revised in 2018, and in 2024. Based on the revision of EPBD in 2018, the Hungarian national decrees had to be revised. After the COVID and the energy crisis, finally in 2023, the 9/2023. ÉKM decree was formulated, and replaced the former 7/2006. TNM decree. The new decree modified the calculation and certification methods of buildings energy performance in Hungary according to EPBD and the up-to-date European standards. The significant changes in the regulation rise the questions of how the calculation and certification results have changed, and how the building designs should change to meet the modified requirements. In this research, residential buildings were examined according to the energy calculation and certification methods defined in the old and the new decrees. Eight relatively small residential buildings were selected from the author’s architectural design praxis, and energy calculations were made in two versions, according to the two regulations using the Auricon Energetic software. The partial results of the calculation, and the final results of the certificates were compared in pairs. The differences in the results were identified, and the reasons were revealed behind them. The research can also provide useful conclusions for the architectural and building engineering design of new nearly zero energy buildings.
Open Access: Yes
A hybrid data-driven approach for the viable supplier selection problem: a case study of the oil and gas industry
Publication Name: Environment Development and Sustainability
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
The Supplier Selection Problem (SSP) plays a significant role in Supply Chain Management (SCM) in today’s competitive world. With respect to this, the literature reveals that incorporating the viability concept in the SSP for the Oil and Gas (O&G) industry has not been adequately addressed in prior studies. Hence, the current study focuses on the SSP for the energy sector by considering the viability pillars. To do so, a data-driven decision-making model is developed that calculates the weights of indicators executing the Fuzzy Best-Worst Method (FBWM) and then evaluates the performance of the supplier by integrating Data Envelopment Analysis (DEA), Support Vector Machine (SVM), and Random Forest (RF) techniques. Overall, the main contribution of this research is to develop an effective data-driven model to examine the viable SSP for the O&G industry. According to the results obtained, among the potential indicators, cost, quality, responsiveness, manufacturing flexibility, robustness, restorative capacity, pollution control, Waste Management (WM), technical capability, and smart factory are selected as the most significant indicators in their corresponding aspects. Moreover, the comparison results against the classic methods demonstrate the robustness, applicability, and validity of the developed data-driven decision framework. Finally, theoretical and managerial implications are presented.
Open Access: Yes
Leadership in family-friendly organizations: how policies shape managerial decisions
Publication Name: Journal of Management Development
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: 1-15
Description:
Purpose – This study aims to examine how leadership roles and symbolic capital influence the adoption, perception and sustainability of family-friendly workplace policies. Drawing on Pierre Bourdieu’s sociological concepts – particularly symbolic capital, social space and habitus – combined with behavioral economic insights, the research investigates how organizational hierarchy shapes leaders’ strategic framing and employees’ interpretations of family-friendly initiatives. Design/methodology/approach – The study employs a quantitative survey conducted in Hungary among 201 certified family-friendly organizations. The data were disaggregated by organizational roles (senior managers, middle managers and employees) and analyzed using descriptive statistics, cross-tabulations, ANOVA and chi-square tests. The theoretical framework integrates Bourdieu’s field theory and behavioral decision-making constraints. Findings – Results reveal that senior leaders are significantly more likely to perceive family-friendly policies as strategic priorities and associate them with core organizational values. Their symbolic capital reinforces policy legitimacy and cultural alignment. However, middle managers report practical challenges related to implementation and resource constraints. A structural gap persists between top-level symbolic commitment and operational realities. The study also highlights how leadership credibility and internal coherence are central to policy sustainability. Originality/value – This research offers a novel interdisciplinary contribution by bridging sociological and behavioral economic theories to explore symbolic and cognitive dimensions of leadership. It addresses a critical gap in the literature by focusing on the internal dynamics – hierarchical positioning, symbolic legitimacy and implementation constraints – that influence family-friendly workplace transformations.
Open Access: Yes
SIGNIFICANCE OF FRACTAL INTERFACIAL LAYER AND NANOPARTICLE’S RADIUS ON THE DYNAMICS OF NANOFLUIDS FLOW VIA CHANNEL OF POROUS WALLS
Publication Name: Fractals
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
This paper investigates heat and mass transfer phenomena by assessing advanced thermal conductivity models (TCMs) that significantly influence the flow of metallic (Au) nanoparticles under suitable boundary conditions. By integrating high TCMs with innovative interfacial fractal theory, we demonstrate a marked enhancement in thermal and concentration transfer. The analysis further investigates the physical model of a hybrid porous channel under the influence of nanofluid flow, magnetohydrodynamics (MHD), and chemical reactions. A detailed numerical investigation of nonlinear partial differential equations, converted into higher-order nonlinear ordinary differential equations (ODEs) using similarity transformations, reveals results by employing single-phase models of nanofluids. The ODEs are solved numerically via the shooting approach combined with the fourth-order Runge–Kutta method, using Mathematica to produce both graphical and numerical results. A comparative graph for expanding/contracting cases deliberated under the impact of MHD and chemical reaction. For expanding and suction cases, volume fractions of nanoparticles increase the function of the Nusselt number. Similarly, MHD is also an increasing function of shear stress near the porous surfaces. As the radius of the nanoparticle (dp) and the inter-particle spacing (h) increase, the radial velocity and temperature profiles also rise in both porous walls. It shows that chemical reactions alter thermal and mass transfer characteristics, with optimal parameters identified for maximizing efficiency. The research uncovers nonlinear interactions between flow dynamics and nanoparticle characteristics, explores the impact of external magnetic fields, and examines how boundary conditions influence transfer processes. Overall, this work enhances our understanding of using fractal theory to improve heat and mass transfer in engineering applications involving metallic nanoparticles.
Open Access: Yes
Estimating agricultural sustainability: a multidimensional approach to a farm-level assessment tool
Publication Name: Frontiers in Environmental Science
Publication Date: 2026-01-01
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
Introduction: In response to the growing demand for practical and robust sustainability assessment tools, this study introduces a new method for evaluating agricultural sustainability at the farm level. The tool relies on indicators covering environmental, economic, and mixed dimensions of sustainability. The mixed dimension integrates environmental, economic, and social indicators. Methods: Indicators were selected based on the literature and empirical data from Hungarian farms. From 61 initial indicators, three groups were formed through factor analysis and clustering. Results: The analysis revealed that environmental and economic factors contribute almost equally to sustainability scores, whereas the mixed dimension has a comparatively smaller impact. This suggests that immediate sustainability improvements might need to prioritize environmental and economic factors. The assessment tool allows the calculation of a complex agricultural sustainability index, which has been validated through case studies on Hungarian farms. Discussion: This study is presented as a methodological pilot project to develop and test a farm-level sustainability assessment tool for agricultural enterprises. The results highlight the practical applicability of the tool for farmers and policymakers, as it offers a transparent, easy-to-use method for identifying sustainability strengths and weaknesses at the enterprise level. Limitations include a small, region-specific sample, which may restrict broader applicability. Additionally, there are challenges in integrating multidimensional indicators. Future research should focus on expanding the dataset, refining indicator weighting, and testing the tool’s applicability in a broader agricultural context. This enhances the robustness and guides stakeholders in sustainable agricultural development.
Open Access: Yes
Monocular Ground Normal Prediction for the Road Ahead
Publication Name: IEEE Open Journal of Vehicular Technology
Publication Date: 2026-01-01
Volume: 7
Issue: Unknown
Page Range: 1066-1080
Description:
Robust fusion of monocular and inertial data has the potential to offer a low-cost alternative for ground surface normal prediction ahead, compared to more expensive sensors, such as LiDAR. Yet robust camera-based prediction remains challenging, particularly for steep grades and texture-poor, homogeneous road surfaces. To address these issues, we propose an enhanced monocular camera-IMU fusion pipeline incorporating a lightweight transformer-based feature matcher for improved correspondence accuracy, and robust temporal filtering, using a spherical linear interpolation (SLERP) filter, to enhance consistency and reduce drift. To enable rigorous benchmarking and reproducibility, we also standardize the evaluation protocol and release a novel dataset containing synchronized camera, LiDAR, and IMU-derived pose data, specifically captured across diverse incline and decline scenarios. Extensive continuous validation demonstrates that our method significantly improves both accuracy and temporal stability over existing approaches, setting a new state of the art for robust, continuous ground normal estimation ahead.
Open Access: Yes
The Carbon Footprint of Online vs. In-Person Learning in Higher Education
Publication Name: Acta Polytechnica Hungarica
Publication Date: 2026-01-01
Volume: 23
Issue: 3
Page Range: 31-50
Description:
Our task focused on three main areas: determining the carbon footprint of university education through a university campus and identifying possible areas for emission reduction, investigating the impact of online education on the carbon footprint, identifying international practice, and developing a survey methodology to ensure comparability of results. After a comprehensive literature review, a functional unit and analysis method were defined, considering the areas responsible for carbon emissions on university campuses by scope and category. After determining the carbon footprint values of the present and a hypothetical hybrid solution, an enumeration of possible decarbonization solutions was outlined, as a conclusion of this research.
Open Access: Yes
DOI: DOI not available
Content Credentials: Trust Issues, Technical Solutions and Future Perspectives Using Encrypted Metadata in Image Processing
Publication Name: Infocommunications Journal
Publication Date: 2026-01-01
Volume: 18
Issue: 1
Page Range: 62-70
Description:
Emerging technologies offer validation and authentication solutions in the field of audiovisual content creation. Visible or invisible watermarking, embedded metadata, and digital signatures can be used to maintain the validity and creditability of still images and video data. The Coalition for Content Provenance and Authenticity (C2PA) was established to create an open source framework and to provide technical solutions for image capture, processing, delivery, and verification. The leading market players in hardware and software development set the goal of applying encrypted metadata information to guarantee the authenticity of the data. Currently, only a few devices and applications are available and have been implemented based on this technology. This paper gives an introductory overview of the recent state, highlighting advantages, drawbacks, available implementations, and future perspectives on research directions.
Open Access: Yes
