Search Everything
Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of
Kiss János.
Authors - 9813
László Csicsmann
23488593000
Lilla Gurisatti
57795901300
Shawei He
35995410700
Béla Dénes
6701334607
Publications - 6374
Comparison of Mechanical Properties of PLA-Based Biocomposites Filled with Different Agricultural By-Products
Publication Name: Advances in Transdisciplinary Engineering
Publication Date: 2024-01-01
Volume: 59
Issue: Unknown
Page Range: 486-493
Description:
In this study, biopolymer composites were developed using poly(lactic acid) (PLA) as a polymer matrix. Various agricultural by-products, including flax seed meal, rapeseed straw, and mustard seed meal, were added as a reinforcement. The research aimed to provide insight into the valorization of cheap, readily available residues generated in the agricultural industry and assess the mechanical properties of composites prepared using them. The experimental fabrication was conducted by compounding PLA with agro-waste particles in 10 and 20 wt% concentrations. These components were melt mixed with a twin-screw extruder and injection molded into standardized forms. The resulting fabricated composites were tested for tensile and flexural mechanical properties and hardness. Through scanning electron microscopy, images of the natural particles were taken to better understand their structure, geometry, and possible ways of interaction between them and the PLA matrix. The results of quasi-static mechanical tests suggest that using agricultural by-products can effectively improve Young's modulus and flexural modulus of PLA but at the cost of tensile and flexural strength, which decreased with the by-products' introduction. Of the three agro-waste options, rapeseed straw emerged as the superior choice because it only marginally reduced the mechanical strength of the PLA and enhanced its stiffness the most. Hardness was the least affected property, test results showed that the added fillers did not substantially change the polymer matrix's hardness.
Open Access: Yes
DOI: 10.3233/ATDE240584
Exercise addiction revisited: From symptoms to treatment
Publication Name: Theory and Psychology
Publication Date: 2026-02-01
Volume: 36
Issue: 1
Page Range: 68-89
Description:
This paper critically examines “exercise addiction,” a form of dysfunctional exercise behavior often mischaracterized as “exercise dependence.” While dependence is part of addiction, compulsion plays an equally significant role. Unlike substance-based addictions, exercise addiction involves delayed gratification achieved through intense physical effort. It often includes a masochistic drive to uphold self-imposed personal standards or maintain a positive social image. This addiction presents unique symptoms and significant challenges in assessment, as evaluations among healthy exercisers only yield questionnaire-based “risk” scores. The rate at which such high-risk scores turn into morbidity is unknown. Thus, the literature can be misleading via an artificial connection between research-based risk scores and clinically problematic cases. Indeed, such cases typically surface in clinics, not research settings. This complex and diverging path between research endeavors and applied medicine hinders the gathering of robust evidence for exercise addiction being a mental dysfunction, which is the reason why it is currently not classified as a dysfunction in the DSM-5. This paper clarifies exercise addiction and presents evidence for problematic cases based on symptoms and areas of self-harm. Furthermore, the paper distinguishes between commitment and addiction to exercise, presenting the most common theoretical models for exercise addiction. Finally, the work forwards a hierarchical 10-stage treatment framework. Overall, the paper emphasizes the urgent need for close collaboration between researchers and clinicians to accurately classify and address this complex behavioral disorder.
Open Access: Yes
An optimal quality management algorithm for road maintenance
Publication Name: 12th International Conference on Intelligent Engineering Systems Proceedings Ines 2008
Publication Date: 2008-09-02
Volume: Unknown
Issue: Unknown
Page Range: 233-236
Description:
The Road Management Systems (and the Pavement Management System-PMS) usually do not take into consideration the changes of future traffic. The maintenance and rehabilitation actions and the development of the road network structure as well as the changing traffic structure modify the amount of the traffic on the road sections. The deterioration process depends on mostly the volume of the traffic. That is why it is important to take into consideration the change of the traffic volume during the planning time horizon. In this paper some techniques are shown which are capable of handling this problem: in the multiperiod, long time model at each planning period the traffic volume change is take into consideration; in the ranking models the problem can also be handled and solved; in the case of the one-period Markov stable model to finding the solution is straightforward. In the multiperiod model a stepwise optimization procedure is used instead of the original algorithm. The objective function is also modified, so that the sum of the differences of the actual solution and the Markov stable model solution is minimized. The result of this algorithm provides a better quality of the road network. The amount of traffic on the sectors depends on the development of the road network also. © 2008 IEEE.
Open Access: Yes
Social Innovation Achieved in a Development Trap: Examples of Local Efforts in Hungary
Publication Name: Social Sciences
Publication Date: 2026-01-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
This study explores how social innovation and multi-level governance (MLG) can enhance regional resilience and help overcome the Middle-Income Trap (MIT) through cooperative, community-driven strategies. Focusing on Hungarian self-governments, it examines twinning partnerships—formal relationships between settlements—as potential catalysts of social innovation and regional cohesion. A nationwide questionnaire survey (Number of settlements surveyed: 409; representative by settlement type) conducted between 2024 and 2025 evaluated the motivations, intensity and impacts of these partnerships. The findings reveal that intraethnic twinning networks are more socially active and locally grounded, strengthening community identity and civic participation, even though they provide limited direct economic benefits. By fostering trust, collaboration, and cross-border interaction, these partnerships act as effective platforms for social innovation, supporting more inclusive and territorially integrated development across Central and Eastern Europe.
Open Access: Yes
The Effect of Lubricant Viscosity Variation on Tooth Friction and Hence on the Energetic Behaviour of Gear Unit
Publication Name: Chemical Engineering Transactions
Publication Date: 2024-01-01
Volume: 114
Issue: Unknown
Page Range: 853-858
Description:
Earlier this year, I created a mathematical model of a gear unit that allowed me to investigate the energy performance of a vehicle gear unit over its full operating range. In the model created, the value of the tooth friction was determined during a precalculation and then entered into the model as a constant parameter. The problem with this approach is that it is not automated, so during the energy analysis or a possible optimisation of the gear unit, the tooth friction is always present in the model as a constant value, whereas in reality, the value of the tooth friction is different for different working points (wheel torque: Mw , wheel speed: nw ) and different geometries. The viscosity of the selected lubricant has a significant influence on tooth friction, which varies partly due to temperature and partly due to load. In this paper, I will investigate the viscosity of the oil required by the gear unit at different operating points for proper operation and how this affects tooth friction and, hence, the gear unit energy loss. Since the studies showed that the effect of oil viscosity is not significant but not negligible, the determination of tooth friction can be incorporated into the gear unit model using a MATLAB function so that it is re-determined at each operating point and for each geometry change. With this modification, the estimation generated by the mathematical model describing the energetic behavior of the gear unit can be made more accurate.
Open Access: Yes
DOI: 10.3303/CET24114143
Flower fertilization optimization algorithm with application to adaptive controllers
Publication Name: Scientific Reports
Publication Date: 2025-12-01
Volume: 15
Issue: 1
Page Range: Unknown
Description:
This article presents the Flower Fertilization Optimization Algorithm (FFO), a novel bio-inspired optimization technique inspired by the natural fertilization process of flowering plants. The FFO emulates the behavior of pollen grains navigating through the search space to fertilize ovules, effectively balancing exploration and exploitation mechanisms. The developed FFO is theoretically introduced through the article and rigorously evaluated on a diverse set of 32 benchmark optimization problems, encompassing unimodal, multimodal, and fixed-dimension functions. The algorithm consistently outperformed 14 state-of-the-art metaheuristic algorithms, demonstrating superior accuracy, convergence speed, and robustness across all test cases. Also, exploitation, exploration, and parameter sensitivity analyses were performed to have a comprehensive understanding of the new algorithm. Additionally, FFO was applied to optimize the parameters of a Proportional-Integral-Derivative (PID) controller for magnetic train positioning—a complex and nonlinear control challenge. The FFO efficiently fine-tuned the PID gains, enhancing system stability, precise positioning, and improved response times. The successful implementation underscores the algorithm’s versatility and effectiveness in handling real-world engineering problems. The positive outcomes from extensive benchmarking and practical application show the FFO’s potential as a powerful optimization tool. In applying multi-objective PID controller parameter optimization, FFO demonstrated superior performance with a sum of mean errors of 190.563, outperforming particle swarm optimization (250.075) and dynamic differential annealed optimization (219.629). These results indicate FFO’s ability to achieve precise and reliable PID tuning for control systems. Furthermore, FFO achieved competitive results on large-scale optimization problems, demonstrating its scalability and robustness.
Open Access: Yes
The Gaza conflict and its implications for the sustainable development goals: a comprehensive analysis
Publication Name: Environment Development and Sustainability
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
The ongoing conflict in the Gaza Strip has precipitated a severe humanitarian and socio-economic crisis with profound implications for sustainable development across environmental, social, and economic dimensions. As of June 2025, hostilities have resulted in approximately 55,000 fatalities and thousands of severe injuries, with critical infrastructure, such as hospitals, schools, and sanitation facilities, have been devastated. This study examines the far-reaching impacts of the Gaza conflict on progress toward the United Nations Sustainable Development Goals (SDGs), focusing mainly on areas such as public health, education, clean water access, and environmental preservation. The roots of the current crisis trace back to 2007, when a blockade was imposed, severely limiting access to essential resources and contributing to prolonged socio-economic decline. Escalating hostilities since October 2023 have intensified these challenges, leading to the degradation of vital natural resources, widespread environmental pollution, and further damage to already fragile ecosystems. This research employs a comprehensive review of both scholarly and grey literature, utilizing data from international reports and region-specific studies to assess how conflict-driven disruptions have impacted Gaza’s trajectory toward critical SDGs. The study applies the ‘Wedding Cake’ model of sustainable development to illustrate how environmental degradation undermines social structures and economic stability. By framing Gaza’s challenges within the SDG framework, this analysis underscores the critical need for a multifaceted, globally coordinated response to address the intertwined crises of human suffering, environmental destruction, and economic collapse. Ultimately, the study advocates for sustainable solutions prioritizing ecological health and resilience as foundations for long-term peace and recovery in Gaza and beyond.
Open Access: Yes
Efficient Uncertainty Quantification in Seismic Site Response via Random Field Modeling
Publication Name: Geotechnical Special Publication
Publication Date: 2025-01-01
Volume: 2025-March
Issue: GSP 366
Page Range: 158-169
Description:
Assessing seismic site response with absolute certainty remains challenging due to inherent soil variabilities. Soil variabilities primarily stem from natural geologic processes and lie beyond human control. Soil characteristics, including shear wave velocity, shear modulus, unit weight, and plasticity, exhibit inherent randomness and variability. These factors significantly influence seismic site responses, making it crucial to account for parameter uncertainty in seismic behavior characterization. Precisely characterizing this uncertainty is essential for reliable seismic hazard assessment and the design of earthquake-resistant structures. However, this task faces challenges due to the computational expense associated with many model realizations. In this study, a computationally efficient and user-friendly model for estimating peak ground acceleration (PGA), displacement (PGD), and quantifying uncertainty was developed. The methodology comprises two main steps: (1) 2D equivalent linear seismic site response analyses were simulated using MIDAS GTS NX commercial software. These simulations incorporated randomly generated properties of clay soil, including maximum shear modulus (G0), unit weight (γ), and plasticity index (PI). (2) Leveraging data from the site response analyses, a Bayesian regression model was developed using the R programming language. The accuracy and reliability of the developed model were validated using a new data set, and the results closely aligned with finite element method (FEM) outcomes. By accounting for soil inherent variabilities, the model effectively characterizes the uncertainty of PGA and PGD using mean and coefficient of variation (CoV). Remarkably, the Bayesian approach yielded CoV of response parameters up to 2.33%, a substantial 94.37% relative difference compared to the FEM. Notably, this improvement in uncertainty was achieved while maintaining computational efficiency.
Open Access: Yes
Digital Signal Processing Method for Gene Identification Based on Complex Fuzzy Distance Measures
Publication Name: Journal of Intelligent and Fuzzy Systems
Publication Date: 2026-03-01
Volume: 50
Issue: 3
Page Range: 953-978
Description:
Both computational and experimental methods are used to identify and describe genes within DNA sequences. Experimental methods such as cDNA cloning, RNA-Seq, and CRISPR/Cas9 evaluate gene expression and function directly, whereas computational approaches such as ab initio prediction, homology-based methods, and machine learning predict gene locations using DNA sequence features and comparisons. By measuring sequence similarity or divergence, distance measures are essential to these procedures and support gene grouping, phylogenetic analysis, comparative genomics, and sequence alignment. This paper aims to explore some distance measures (DMs) such as Hamming distance measure, Zhang distance measure, Normalized Hamming distance measure, and Zeeshan distance measure under the environment of complex fuzzy sets (CFSs). We studied some basic properties of complex fuzzy distance measures (CFDMs). Moreover, we employed CFDMs to extract pertinent features from gene that provides uncertainty and ambiguous data. We proposed an innovative digital signal processing method for gene identification using CFDMs. We developed an algorithm utilizing CFDMs to identify a healthy gene out of several affected genes. To demonstrate the effectiveness and advancements of the proposed work, a comparison with various current methodologies was also conducted.
Open Access: Yes
