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Publications - 6289

Yield Prediction Using NDVI Values from GreenSeeker and MicaSense Cameras at Different Stages of Winter Wheat Phenology

G. Milics Viktoria Vona Gabor Kukorelli Zoltán Varga A. J. Kovács István Mihály Kulmány Laszló Bede Gergely Teschner Sándor Zsebő Dávid Stencinger

Publication Name: Drones

Publication Date: 2024-03-01

Volume: 8

Issue: 3

Page Range: Unknown

Description:

This work aims to compare and statistically analyze Normalized Difference Vegetation Index (NDVI) values provided by GreenSeeker handheld crop sensor measurements and calculate NDVI values derived from the MicaSense RedEdge-MX Dual Camera, to predict in-season winter wheat (Triticum aestivum L.) yield, improving a yield prediction model with cumulative growing degree days (CGDD) and days from sowing (DFS) data. The study area was located in Mosonmagyaróvár, Hungary. A small-scale field trial in winter wheat was constructed as a randomized block design including Environmental: N-135.3, P2O5-77.5, K2O-0; Balance: N-135.1, P2O5-91, K2O-0; Genezis: N-135, P2O5-75, K2O-45; and Control: N, P, K 0 kg/ha. The crop growth was monitored every second week between April and June 2022 and 2023, respectively. NDVI measurements recorded by GreenSeeker were taken at three pre-defined GPS points for each plot; NDVI values based on the MicaSense camera Red and NIR bands were calculated for the same points. Results showed a significant difference (p ≤ 0.05) between the Control and treated areas by GreenSeeker measurements and Micasense-based calculated NDVI values throughout the growing season, except for the heading stage. At the heading stage, significant differences could be measured by GreenSeeker. However, remotely sensed images did not show significant differences between the treated and Control parcels. Nevertheless, both sensors were found suitable for yield prediction, and 226 DAS was the most appropriate date for predicting winter wheat’s yield in treated plots based on NDVI values and meteorological data.

Open Access: Yes

DOI: 10.3390/drones8030088

Feedback systems as interferers in perfectionism: a systematic literature review

Kristof Schwartz Adel Bartos Monika Marosi István Karsai

Publication Name: Frontiers in Psychiatry

Publication Date: 2026-01-01

Volume: 16

Issue: Unknown

Page Range: Unknown

Description:

Background: Perfectionism is a multidimensional construct characterized by the striving for exceptionally high standards and critical self-evaluation. It can manifest in both adaptive and maladaptive forms. Feedback systems exert a considerable cognitive influence on individuals as the emotional and behavioral responses to feedback are often shaped by its valence—positive or negative. This study aimed to examine the relationship between feedback systems and perfectionism, including its various dimensions, and to assess how specific interventions influence perfectionistic traits. Methods: A systematic literature review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines across six academic databases: PubMed, PsycINFO, Scopus, ScienceDirect, EBSCO, and ERIC. The initial search yielded 441 articles. After applying the inclusion and exclusion criteria, 24 studies were selected for detailed analysis. Results: A clear association emerged between feedback valence and perfectionism. Four major outcome domains were identified as dependent variables: emotional response, behavior, task performance, and physiological (biomarker) indicators. Among adaptive perfectionists, positive feedback was linked to improved behavioral outcomes, whereas negative feedback elicited negative emotional and performance-related consequences. In contrast, maladaptive perfectionists showed a heightened vulnerability to negative feedback, displaying impaired emotional regulation, decreased performance, and elevated stress-related physiological markers. Conclusion: Feedback directed at individuals with perfectionistic traits elicits distinct psychological and physiological responses. While positive feedback can foster beneficial outcomes in adaptive perfectionists, negative feedback—especially in maladaptive perfectionists—can have substantial adverse effects, highlighting the importance of developing individualized feedback strategies as part of the clinical and therapeutic interventions for individuals with perfectionistic vulnerability. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD420251015998.

Open Access: Yes

DOI: 10.3389/fpsyt.2025.1732312

Reinforcement of RC Two-Way Slabs with CFRP Laminates: Plastic Limit Method for Carbon Emissions and Deformation Control

Oveys Ghodousian Marco Domaneschi Zahraa Saleem Sharhan Majid Movahedi Rad Raffaele Cucuzza

Publication Name: Buildings

Publication Date: 2024-12-01

Volume: 14

Issue: 12

Page Range: Unknown

Description:

Carbon-fiber-reinforced polymer (CFRP) laminates have gained attention for their potential to reduce carbon emissions in construction. The impact of carbon-fiber-reinforced polymer (CFRP Laminate) on carbon emissions and the influence of elasto-plastic analysis on this technique were studied in this research. This study focuses on how CFRP can affect the environmental footprint of reinforced concrete structures and how elasto-plastic analysis contributes to optimizing this strengthening method. Four flat RC slabs were created to evaluate this technique in strengthening. One slab was used as a reference without strengthening, while the other three were externally strengthened with CFRP. The slabs, which were identical in terms of their overall (length, width, and thickness) as well as their flexural steel reinforcement, were subjected to concentrated patch load until they failed. The strength of two-way RC slabs was analyzed using a concrete plastic damage constitutive model (CDP). Additionally, CFRP strips were applied to the tension surface of existing RC slabs to improve their strength. The load–deflection curves obtained from the simulations closely match the experimental data, demonstrating the validity and accuracy of the model. Strengthening concrete slabs with CFRP sheets reduced central deflection by 17.68% and crack width by 40%, while increasing the cracking load by 97.73% and the ultimate load capacity by 134.02%. However, it also led to a 15.47% increase in CO2 emissions. Also, the numerical results show that increasing the strengthening ratio significantly impacts shear strength and damage percentage.

Open Access: Yes

DOI: 10.3390/buildings14123873

Slewing of rubber-sprung wheels with railway vechiles

László Kiss László Bozóky Vince Nagy

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2004-12-01

Volume: Unknown

Issue: Unknown

Page Range: 171-175

Description:

The slewing of railway vehicle's rubber-spring wheel means that the wheel has an elastic and plastic change in angle relative to the wheel frame. This study has the objective to explore the evolution and the causes for these angle changes both in laboratory environment and also during the running of the vehicle.

Open Access: Yes

DOI: DOI not available

Metaheuristics in Hierarchical Nested Structure

Boldizsar Tuu-Szabo Ali Jawad Ibada László T. Kóczy

Publication Name: Cinti 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 547-550

Description:

Metaheuristic algorithms have become indispensable tools for solving complex combinatorial optimization problems. However, their performance often depends critically on the selection of internal parameters, which are frequently tuned in an ad hoc manner. This paper investigates the hierarchical nested structure of the metaheuristic algorithm and its impact on optimization performance, where parameters of one metaheuristic are optimized using another, resulting in a multi-level optimization framework. We demonstrate this concept using a four-tier architecture: the Genetic Algorithm (GA) optimizes the Radius (R) parameter in the Circle Group Heuristic (CGH), which in turn constructs high-quality initial populations for the Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA). The DBMEA itself is a memetic algorithm that integrates global evolutionary mechanisms from Bacterial Evolutionary Algorithm (BEA) and with local search strategies (2-OPT and 3- OPT), thus comprising two inherent levels. Together, this nesting creates a four-level metaheuristic hierarchy. The DBMEA is then applied to solve variants of NP-Hard problems such as Traveling Salesman Problem (TSP). Our experiments on benchmark datasets show that this nested structure not only improves convergence speed and solution quality but also demonstrates the potential of deeply nested metaheuristic designs for scalable, robust optimization.

Open Access: Yes

DOI: 10.1109/CINTI67731.2025.11311852

Timing Chain Wear Investigation Methods – Review

Cs Tóth-Nagy J. Rohde-Brandenburger L. Paulovics

Publication Name: Fme Transactions

Publication Date: 2022-01-01

Volume: 50

Issue: 3

Page Range: 461-472

Description:

Several methods are used for investigating timing chain wear, from fired engine dynamometer tests through tribological model tests to simulations. Research over the past decade has shown that component or tribometer tests can replace expensive engine dynamometer tests in many cases. Simulation methods can further reduce the cost and time of development. Simulation models require experimentally defined input parameters; therefore, experiment-based methods cannot be completely avoided. However, a comprehensive comparison or validation of the various experimental and simulation techniques is difficult, as the literature on the topic is relatively scarce. This study aims to give a systematic comparison of the results of several investigation methods of timing chain wear, supported by data measured at Széchenyi István University, such as fired engine dynamometer tests, cold dynamometer tests, component tests, and tribometer tests, presenting their benefits and limitations, where possible through examples and results. The study also provides an insight into the compatibility of different measurement methods.

Open Access: Yes

DOI: 10.5937/fme2203461P

MEASURING AGE-DEPENDENCE OF COLOUR AFTERIMAGE PERCEPTION

Lorinc Garai András Horváth

Publication Name: Light and Engineering

Publication Date: 2022-01-01

Volume: 30

Issue: 2

Page Range: 70-81

Description:

Afterimages are common and frequent perceptual phenomena of everyday life. A typical appearance is the negative “ghost” image of a bright light source when we turn away from it. In the case of significant colour contrast, the afterimage can be coloured. The perceived false image’s strength decreases gradually and completely disappears in a (10–100) s timescale. The underlying processes have multiple components: a quick adaptation on the retinal level, and a slower adaptation on the neural level. Several studies discuss these mechanisms, but there are still important questions to be answered. In our research, we apply the top-level, black-box style approach: instead of focusing on the inner details, we ask human test subjects to test and measure the duration and “strength score” of the same light-transitions. Our goal is to find the main features that affect the duration and subjective strength of the colour afterimages. Specifically, we examine whether the age and gender of the test subjects or the colourimetry parameters affect these parameters. Two set of experiments were performed: colour-colour transitions with 41 and colour-grey transitions with 16 test subjects between 19 and 62. We found that gender has no measurable influence, but age makes a difference in high significance. Both experiment types confirmed that over 40 years the average duration of colour afterimages decreases.

Open Access: Yes

DOI: 10.33383/2021-061

Enhancing sustainable performance through green human resource management: Green competencies building and green passion playing as a joint moderation

Selim Ahmed Abdullah Al Masud Mohammad Fakhrul Islam Nusrat Sharmin Lipy Md Kazi Hafizur Rahman Md Emon Anika Tasnim Mim

Publication Name: Acta Psychologica

Publication Date: 2025-10-01

Volume: 260

Issue: Unknown

Page Range: Unknown

Description:

This study aims to investigate the moderating effect of green competencies building (GCB) and green passion (GP) on the relationship between green human resource management (GHRM) and sustainable performance (SP). Moreover, it aims to find out the joint moderating effect of GCB and GP on the relationship between GHRM and SP. An online survey was used to gather 410 samples from various manufacturing organizations in Bangladesh, and the data was analyzed using structural equation modeling (SEM). The study found that GCB and GP separately and jointly moderate the relationship between GHRM and SP. This study uniquely explores how green competencies and green passion, both individually and jointly, moderate the relationship between GHRM and sustainable performance.

Open Access: Yes

DOI: 10.1016/j.actpsy.2025.105701

HyMeKo Language: Describing Complex Hypergraph-Like Data

Adam B. Csapo Csaba Hajdu

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 5

Page Range: 227-246

Description:

Numerous applications of computer science — including artificial intelligence, robotics, and cyber-physical systems — rely on highly connected data structures. Such complex information is most naturally and compactly described using a hypergraph-based approach, which enables concise representation of many-to-many relationships. In this paper, we introduce HyMeKo, a formal markup language designed to represent highly connected data based on hypergraph theory. Unlike traditional formats such as XML or JSON, HyMeKo offers a significantly more concise and semantically expressive way to model complex relationships by organizing data into a hypertree-based structure. The language supports template-based modeling and inheritance, enabling reusable, modular, and scalable data descriptions. HyMeKo is implemented as an LALR(1)-compliant language, allowing efficient parsing and transformation of structured data into hypergraphs. We provide a formal definition of the language, its supported operations, and relational rules, along with a comparative analysis demonstrating its syntactic efficiency. Application examples include robotic system descriptions, neural network architectures, and structured LLM prompts. We further present a structural complexity analysis showing that HyMeKo achieves a (k+1)-fold reduction in representational overhead compared to RDF reification for k-ary relationships, and provide an explicit comparison with RDF, OWL, and GraphQL. Reference implementations exist in both Python (PyLark) and Rust (LALRPOP).

Open Access: Yes

DOI: DOI not available