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Authors - 9813
Balázs Nagy
57202420665
Kornélia Horváth
58854399700
Péter Szolgay
7003329702
Tamas Sziranyi
7004036382
Publications - 6374
Evaluation of Novel Picolinamide Fungicides (QiI) for Controlling Cercospora beticola Sacc. in Sugar Beet
Publication Name: Horticulturae
Publication Date: 2024-11-01
Volume: 10
Issue: 11
Page Range: Unknown
Description:
Studies were initiated to find new effective fungicides to use under field conditions to discover novel approaches for optimizing disease management in sugar beet crops. Cercospora leaf spot (CLS), a prevalent foliar disease in sugar beet crops worldwide, is caused by the fungal pathogen Cercospora beticola Sacc. This disease has become the most prevalent pathogen in sugar beet crops across nearly all European growing regions, including Hungary. The epidemic spread of this disease can cause up to 50% yield loss. The use of fungicides has been a cornerstone in managing CLS of sugar beet due to the limited efficacy of non-chemical alternatives. However, the emergence of fungicide-resistant strains of Cercospora beticola Sacc. in recent decades has compromised the effectiveness of certain fungicides, particularly those belonging to the QoI (FRAC Group 11) and DMI (FRAC Group 3) classes. Hungary is among the many countries where resistance to these fungicides has developed due to their frequent application. Picolinamides represent a novel class of fungal respiration inhibitors targeting Complex III within the Quinoine-Inside Inhibitor (QiI) group. Two innovative fungicides from this class, fenpicoxamid and florylpicoxamid (both classified under FRAC Group 21), were evaluated for their efficacy in managing CLS of sugar beet in Hungary during the 2020 and 2021 growing seasons. Both fungicides were applied as formulated products at various application rates and demonstrated superior efficacy in controlling CLS compared to untreated control plots and the reference fungicides difenoconazole and epoxiconazole. The results consistently demonstrated that all tested application rates of fenpicoxamid and florylpicoxamid effectively controlled CLS in sugar beet, exhibiting a clear dose–response relationship. Disease severity, as measured by the area under the disease progress curve (AUDPC), was significantly correlated with yield reduction but showed no significant association with root sugar content. Moreover, data from both study years indicated that picolinamide fungicides applied at a rate of 75 g ai/ha significantly outperformed difenoconazole (100 g ai/ha) in controlling the CLS of sugar beet. Additionally, higher application rates of picolinamides at 100–150 g ai/ha outperformed epoxiconazole at 125 g ai/ha in disease suppression. Fenpicoxamid is currently registered for use in cereals within Europe, and outside of Europe in Banana against Black Sigatoka (eff. Mycosphaerella fijiensis). Florylpicoxamid, while not yet registered in Europe, is undergoing approval processes in various countries worldwide for a range of crops and is continually being evaluated for potential market introduction. Additional details regarding the efficacy of florylpicoxamid against CLS in sugar beet were presented at ‘The 10th International Conference on Agricultural and Biological Sciences (ABS 2024, Győr-Hungary)’ in 2024.
Open Access: Yes
On design method of lateral-torsional buckling of beams: State of the art and a new proposal for a general type design method
Publication Name: Periodica Polytechnica Civil Engineering
Publication Date: 2015-01-01
Volume: 59
Issue: 2
Page Range: 179-192
Description:
After introducing the Eurocode standards several theses have been published on the now much-discussed phenomenon of lateral-torsional buckling of steel structural elements under pure bending. According that, researchers are working on the development of such new design methods which can solve the problems of the design formulae given by the EN 1993-1-1. This paper gives a detailed review on the proposals for novel hand calculation procedures for the prediction of LT buckling resistance of beams. Nowadays, the application of structural design softwares in practical engineering becomes more common and widespread. Recognizing this growing interest, the main objective of our research work is the development of a novel, computer-aided design method. In this paper the details of a general type stability design procedure for the determination of the LT buckling resistance of members under pure bending are introduced. Here, the theoretical basis of the proposed method is clarified, the calculation procedure is detailed and some results for the evaluation of the appropriateness of the method is also presented. Based on the evaluations it can be stated that the new, general type design method is properly accurate and has several advantages on the stability check of beams under bending.
Open Access: Yes
DOI: 10.3311/PPci.7837
An economic prediction of the finer resolution level wavelet coefficients in electronic structure calculations
Publication Name: Physical Chemistry Chemical Physics
Publication Date: 2015-01-01
Volume: 17
Issue: 47
Page Range: 31558-31565
Description:
In wavelet based electronic structure calculations, introducing a new, finer resolution level is usually an expensive task, this is why often a two-level approximation is used with very fine starting resolution level. This process results in large matrices to calculate with and a large number of coefficients to be stored. In our previous work we have developed an adaptively refined solution scheme that determines the indices, where the refined basis functions are to be included, and later a method for predicting the next, finer resolution coefficients in a very economic way. In the present contribution, we would like to determine whether the method can be applied for predicting not only the first, but also the other, higher resolution level coefficients. Also the energy expectation values of the predicted wave functions are studied, as well as the scaling behaviour of the coefficients in the fine resolution limit.
Open Access: Yes
DOI: 10.1039/c5cp01214g
Cyclical inverse interpolation: An approach for the inverse interpolation of black-box models using tensor product representations
Publication Name: Asian Journal of Control
Publication Date: 2021-05-01
Volume: 23
Issue: 3
Page Range: 1301-1312
Description:
This paper proposes a novel approach to inverse interpolating black-box models, referred to as the cyclical inverse interpolation method (CIIM). The approach relies on the use of a multivariate surrogate function, expressed as a tensor product (TP) model, to systematically generate candidate inputs to the given black-box model with the goal of obtaining interpolated outputs. While the proposed approach is largely agnostic as to the form of this surrogate function, some of its properties, such as the semantics of its input dimensions with respect to the black box model, are constructively defined. The paper demonstrates the viability of the proposed approach both from a theoretical perspective and through numerical examples. Based on these results, it is argued that the approach can be used for the exploratory identification of black-box models that have scalar-valued outputs and can be particularly useful in working with black-box models that have a large number of inputs and exhibit highly nonlinear behavior.
Open Access: Yes
DOI: 10.1002/asjc.2490
The Evolution of Digitalization Transformation and Industry 4.0 in Supply Chain Management: A Systematic Literature Review †
Publication Name: Engineering Proceedings
Publication Date: 2024-01-01
Volume: 79
Issue: 1
Page Range: Unknown
Description:
The digital revolution is rapidly reshaping supply chains, driven by the confluence of Industry 4.0 and digitalization transformations. This research aims to investigate the evolution of the digitalization transformation era by integrating machine learning and big data management into supply chain management (SCM). A systematic literature review and mapping study were conducted, analyzing 223 articles from the Scopus database and 60 from Web of Science, selected through a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) screening process and the Population, Exposure, and Outcome (PEO) framework. This study provides a narrative summary of the evolution of decision-making and consultation processes, recommendation approaches, and guidelines for enterprises to achieve sustainability in their supply chain management. It also identifies potential areas for future research in navigating the world of digitized supply chains.
Open Access: Yes
Effect of Sugarcane Bagasse Ash on the sustainable performance of hot-mix asphalt: A case study of experimental and numerical analysis
Publication Name: Case Studies in Construction Materials
Publication Date: 2026-07-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
The growing demand for sustainable road infrastructure has intensified the interest in alternative mineral fillers that reduce natural resource consumption and environmental impacts. This study investigates the use of Sugarcane Bagasse Ash (SBA), an abundant agricultural by-product in sub-Saharan Africa, as a partial replacement for conventional mineral fillers in hot-mix asphalt (HMA). Unlike previous studies that considered SBA primarily as a minor additive, this study provides a systematic evaluation across a wide replacement range (0–16 %), combined with experimental testing and numerical validation. Marshall and indirect tensile strength (ITS) tests were conducted on HMA mixtures produced using locally sourced Nigerian aggregates and 60/70 penetration-grade bitumen. A three-dimensional finite element model (FEM) of the ITS configuration was developed to corroborate the experimental response and identify stress concentration zones. results indicate that SBA improves both mechanical and volumetric performance within an optimal replacement range of 6–10 %, with peak performance of approximately 8 % SBA. Within this range, Marshall stability increased from 7.6 kN to 9.0 kN, the Marshall quotient reached 3.3 kN/mm, bulk density increased to 2.51 g/cm³, and air voids decreased from 4.9 % to 3.5 %, remaining within standard design limits. Microstructural analyses confirmed the predominance of amorphous silica and porous SBA morphology, which promoted enhanced filler–binder interactions and mixture densification. FEM predictions of peak tensile stress agreed with laboratory ITS results within 10 % and successfully reproduced observed crack initiation zones. Excessive SBA content (> 10 %) led to reduced stability and density owing to over-filling effects. The findings demonstrate that 6–10 % SBA is a technically viable and sustainable filler replacement for HMA, particularly in sugarcane-producing regions, offering improved performance alongside waste valorization and reduced reliance on quarry-derived fillers.
Open Access: Yes
Pollinator benefits of small-scale landscapes depend also on semi-natural habitat
Publication Name: Journal of Applied Ecology
Publication Date: 2025-09-01
Volume: 62
Issue: 9
Page Range: 2249-2260
Description:
Farmland pollinators are influenced by landscape structure, including mean field size, floral resources, the amount of semi-natural habitats and crop type, but their relative importance and interactions for bumblebee colony performance are not well known. In our study, we focused on the concurrent role of crop type (oilseed rape vs. cereal), proximity to semi-natural habitats (close vs. far) and landscapes with small (average 2 ha) and large fields (average 17 ha) on experimentally exposed bumblebee colony fitness parameters; we also carried out a botanical survey and analysed pollen collected by the bumblebees. We conducted a homing experiment, with workers translocated 0.1–1 km from the colony, and measured the homing speed. We found a significantly higher colony traffic rate next to mass-flowering oilseed rape fields and close to semi-natural habitats. According to our structural equation model, higher traffic rates boosted colony growth rates, which in turn supported higher queen brood cell numbers. In the homing experiment, the relocated bumblebees returned to their home colony faster when it was located close to semi-natural habitats and when the flowering plant species richness was high. The homing speed was lower when semi-natural habitats were distant and flowering plant species richness was high, possibly due to fewer visual cues. Semi-natural habitats were more important for pollinators in large-scale than in small-scale agriculture. In small-scale landscapes, bumblebees returned more quickly when flowering plant species richness was low, presumably because the small-scale landscape structure (higher edge density) allowed for easier navigation by landscape visual cues. The abundance of flowering plants did not affect homing speed, presumably underlining the predominant role of orientation in small-field landscapes. Synthesis and applications: Mass-flowering crops and nearby semi-natural habitats enhance colony growth and queen production, emphasising the important role of abundant and diversified flower resources as well as neighbouring semi-natural habitats. Further, landscapes shaped by small-scale farming are crucial for sustaining and enhancing pollinator populations. Our results underscore the need to restore and maintain semi-natural habitats and to enhance floral resources. These efforts are especially effective in small-scale agricultural landscapes, which appear to improve bumblebee orientation and support biodiversity-friendly farming.
Open Access: Yes
Cognitive Aspects of 2D Content Integration and Management in 3D Virtual Reality Spaces
Publication Name: Infocommunications Journal
Publication Date: 2023-01-01
Volume: Unknown
Issue: Unknown
Page Range: 37-45
Description:
The advent of 2D graphical user interfaces in the 1980s shifted user interactions from line-based terminals to icon-based interfaces. As smartphones emerged in the 2010s, portable 2D graphical interfaces became a reality, liberating users from being confined to a single location when accessing digital services. These transformations have profoundly altered our understanding of digital information systems, with impacts that cannot be easily quantified. Current advancements in virtual and augmented reality (VR/AR), the Internet of Things (IoT), and artificial intelligence (AI) are on the verge of ushering in the next significant leap in cognitive expansion, introducing portable and highly contextual spatial interfaces, also sometimes referred to as Digital Realities (DRs). As a result, users now anticipate the ability to engage with an increasing array and variety of digital content in ways that are more contextualized and tailored to their needs, taking into account factors such as time, location, personalized goals and user-specific histories. In this paper, we aim to give an overview of cognitive aspects relevant to content integration and management specifically in DR environments, and to propose solutions and / or best practices to address them. Our discussion is centered around a paradigm called the Doing-When-Seeing (DWS) paradigm, which we propose for the design of Digital Reality interfaces. We demonstrate the applicability of this paradigm to the design of interfaces for creating content, organizing content, and semantically representing and retrieving content within 3D Digital Reality environments.
Open Access: Yes
Image-Based Estimation of Porosity and Tortuosity in Fibrous Acoustic Absorbers
Publication Name: Engineering Reports
Publication Date: 2025-12-01
Volume: 7
Issue: 12
Page Range: Unknown
Description:
This study presents a fast and non-destructive image-based method for estimating two key acoustic parameters—open porosity and tortuosity—in fibrous sound-absorbing materials. The approach uses a single grayscale optical micrograph, which is down-sampled, contrast-equalized, and segmented via adaptive thresholding. From the resulting binary fiber mask, two geometric descriptors are extracted: coverage and a one-pixel-wide skeleton. Porosity is estimated using a simple linear formula calibrated on three reference materials, yielding an average absolute error below 0.3% when compared with argon gas pycnometry. Tortuosity is inferred from the total skeleton length relative to the image area, producing a stable ranking across materials with consistent bias relative to measured data. Additionally, a random forest model using only three image features—coverage, median fiber radius, and skeleton length—predicts airflow resistivity with over 70% explained variance. The full analysis pipeline is implemented in Python using open-source libraries (OpenCV, scikit-image) and runs in under half a second per image on standard hardware. This makes the method well suited for early-stage material screening, in-line quality control, or laboratory support, without the need for destructive testing or costly instruments. The approach bridges the gap between optical imaging and physical parameter estimation, offering a lightweight alternative to traditional porosity and impedance-tube measurements.
Open Access: Yes
DOI: 10.1002/eng2.70537
