Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6374

Analyzing the Performance of TSP Solver Methods

Peter Foldesi Boldizsar Tuu-Szabo Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 955

Issue: Unknown

Page Range: 65-71

Description:

In this paper we analyze the efficiency of three TSP solver methods: the best-performing exact Concorde algorithm, the state-of-the-art inexact Helsgaun’s Lin–Kernighan heuristic and our Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA). In our analysis the run time predictability was also taken into account, not only the tour quality and the run time properties. Three models (polynomial, exponential, square-root exponential) were fitted to the mean run times of VLSI (Very-large-scale integration) instances up to 20,000 nodes. The DBMEA produces the highest (close to 1) R2-values for each model. The Concorde algorithm shows very low run time predictability.

Open Access: Yes

DOI: 10.1007/978-3-030-88817-6_8

Action and Reaction: Mapping of Behavioral Patterns

Bernadett Domokos Zoltán Baracskai

Publication Name: Montenegrin Journal of Economics

Publication Date: 2022-01-01

Volume: 18

Issue: 1

Page Range: 31-46

Description:

The environment of workplaces, the performance of the employee, and the different effects of the withdrawal behaviors are a common interesting area for many researchers. The scientific journals have published several aspects of the employee's behavior in the work environment to present the most im-portant effects on it. This study organically combines the literature-defined concepts of behavioral patterns with a case-based analysis. We connect performance and employee behavior to the cognition of human behavior, human mindset, and the process of decision-making. The focal point is the concep-tual triad of employee turnover, commitment, and satisfaction. It has been investigated from the trust approach because this is the environment in which we can set up a pattern of employee mindset at work that can help the company in the strategic decision-making process. 73 dismissal cases of manual workers from manufacturing companies served as the basis of inves-tigation. Instead of the common Likert scale in surveys, this study modelled the human mindset based on logical correlations with help of an expert system that can provide a deeper insight into the human decision logic. The nov-elty of the research method creates an opportunity to represent information more nuanced than statistical methods. The paper discusses the potential implications of the model in terms of employee turnover and human decision-making priority.

Open Access: Yes

DOI: 10.14254/1800-5845/2022.18-1.3

Exploring the hub gene CERS6 as a therapeutic target in type 1 diabetes through a bioinformatics and network analyst approach

Salman Alrokayan Khalid Muhammad D. U. Ozsahin Y. Waheed Muhammad Suleman Hassan Ayaz Tajamul Hussain Muhammad Suleman Asia Nawaz D. U. Ozsahin

Publication Name: Scientific Reports

Publication Date: 2026-12-01

Volume: 16

Issue: 1

Page Range: Unknown

Description:

Insulin-producing β-cells are destroyed in type 1 diabetes mellitus (T1DM), a chronic autoimmune disease that results in complete insulin insufficiency and metabolic dysfunction. According to a survival study that used p values, some hub genes are important for predicting and diagnosing illness. Scientists have inferred medicines to identify possible therapies that interact with the identified hub genes. The GSE10586 gene expression dataset from the Gene Expression Omnibus (GEO) was used for this investigation, which included 27 samples from 15 healthy controls and 12 diabetic patients. Normalization methods such as variance stabilization normalization (VSN) were used as part of the data pretreatment. A protein‒protein interaction (PPI) network was constructed, principal component analysis (PCA) was performed, heatmaps were created, and the Limma algorithm was used to analyze differential gene expression. Using DAVID v6.8 and KEGG pathway annotations, the functional enrichment of differentially expressed genes (DEGs) was evaluated. Furthermore, a computational study revealed CERS6 to be one of the potential hub genes. Four drugs, methotrexate, eliglustat, myriocin and statin, were the focus of further studies on the basis of predictions made via ChemSpider and PubChem database analysis. To determine the optimal binding positions of these drugs with CERS6, we used molecular docking techniques. The binding affinity of methotrexate was 8.48 kcal/mol, that of myriocin was 7.85 kcal/mol, that of eliglustat was − 6.62 kcal/mol, and that of serine was − 4.90 kcal/mol against the binding pocket’s active residues. To determine how consistently each drug interacted with the CERS6 protein over time, molecular dynamics (MD) simulations were run. Throughout the simulation intervals, both medications were confirmed to be stable, with minor alterations in the CERS6 protein loop region. Therefore, the investigation of structure-based drug design has potential for identifying specific therapeutic targets. Ten hub genes were identified via network analysis of differentially expressed genes. These hub genes could serve as novel targets for T1DM detection, prognosis, and targeting. CERS6 exhibited the highest degree of interaction. Methotrexate, eliglustat, myriocin and statins were identified as potential drugs for CERS6. Overall, these findings provide valuable insights that could pave the way for new experimental strategies in T1DM therapy.

Open Access: Yes

DOI: 10.1038/s41598-025-30045-x

Vehicle Automation Impact on Traffic Flow and Stability: A Review of Literature

Balázs Horváth Dilshad Mohammed

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2023-01-01

Volume: 20

Issue: 5

Page Range: 129-148

Description:

Vehicle automation technologies open new avenues for improving present transportation networks. It is predicted that Autonomous vehicles (AVs) and Connected Vehicles (CVs) will improve the traffic flow though increasing road capacities and reducing travel time and congestion to a great extent. According to the studies, AVs and CVs benefits will likely to more increase with their penetration rates and level of automation and cooperation. Eventually it might accelerate the expected evolution in car mobility in which the gradual transition from regular human driving to automated driving will occur. This paper summarizes the recent studies on the impact of vehicle automation in traffic flow. Although many factors are considered to affect traffic flow under the use of vehicle automation. This study has selected four main factors, these are travel behavior factor, the effect of platooning, travel time factor, and the effect of intersection control. The reviewed studies relevant to these keywords have been extensively argued and thoroughly discussed in this paper. Furthermore, the different applied models and the analytical frameworks which have been used to achieve various results and outcomes, are described in an illustrative table. Finally, all findings which have been demonstrated from this paper emphasize a great contribution of the developed vehicle automation technology to the future of our transportation system.

Open Access: Yes

DOI: 10.12700/APH.20.5.2023.5.9

Decision-Making Based on Fuzzy Linguistic Signatures

Nour Ammar Laszlo T. Koczy

Publication Name: Ciees 2023 IEEE International Conference on Communications Information Electronic and Energy Systems

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Decision-making is a key process for human beings, and it is becoming more complicated in the case of uncertainty. Thus, it may be a more realistic approach to use linguistic values instead of numerical values. In the literature, there have been numerous applications for fuzzy signatures for modelling decision-making problems with uncertainty. However, there are application cases where the parameters are not measurable, and there is no way to assign precise membership values and functions to the variables. The main goal of this paper is to propose a way to make a decision about traffic related questions, using a new model for fuzzy linguistic signatures with linguistic aggregation operations in this case. Telemetric data collected by the Hungarian e-toll declaration provider are utilized for the purpose of the example. The results demonstrate the efficiency and time-saving advantages of employing fuzzy linguistic signatures over to numerical methods for decision-making.

Open Access: Yes

DOI: 10.1109/CIEES58940.2023.10378751

Investigation of swings caused by sudden wind loads during operation of an aerial ladder

Péter Horváth F. Hajdu Rajmund Kuti

Publication Name: Fme Transactions

Publication Date: 2020-01-01

Volume: 48

Issue: 2

Page Range: 351-356

Description:

In Hungary, as in other countries around the world, intervention firefighting units often use a mechanically operated aerial ladder for highaltitude rescue tasks. The safe operation of the equipment is only possible under strict safety regulations and requires a high level of expertise from the operating staff. During each intervention, extraordinary events such as sudden wind gusts can occur, which can cause extreme overload of the structural members of aerial ladders and have adverse effects on the equipment that can lead to malfunctions and-even worse-to accidents. Therefore it is important to study the consequences of external influences on aerial ladders during operation. The examination was performed on a widely used Magirus M32-L aerial ladder. The reason for choosing this type of aerial ladder is because it has a wide operating range, therefore test results can be a good starting point for other similar equipment as well. In this paper the development of our beam model and the performed finite element simulations are presented. The aim of the research is to develop a model based on geometrical measurement data that is suitable for studying the effects of wind gusts on the ladder structure. With our research, we aim to contribute to the safe operation of aerial ladders and to prevent possible accidents.

Open Access: Yes

DOI: 10.5937/FME2002351H

Acylglycerol Kinase 2-mediated Inhibition of Sirtuin 2 Restores AMPK/AKT/mTOR Signaling Balance in Podocytes: A Pharmacological Strategy for Diabetic Nephropathy

D. U. Ozsahin U. Saeed Surya M. Nauli Dilber Uzun Ozsahin Zia Ashraf Zahra Zahid Piracha Ayesha Yar Khan Muhammad Usama Khan Aqsa Talib Syed Shayan Gilani Roshan Nadeem Bazaid Muhammad Syed Muhammad Aun Raza Mehedi Tubaishi Rubab Andromeda M. Nauli

Publication Name: Iranian Journal of Pharmaceutical Research

Publication Date: 2026-12-01

Volume: 25

Issue: 1

Page Range: Unknown

Description:

Background: Diabetic nephropathy is a major cause of end-stage renal disease, driven in part by molecular dysfunctions in podocytes. Sirtuin 2 (Sirt2), a cytoplasmic NAD+-dependent deacetylase, has emerged as a potential regulator of key metabolic pathways, but its specific role in podocyte biology remains poorly defined. Objectives: This study aimed to investigate the function of Sirt2 in human podocytes (hPodo), delineate its interaction with histone deacetylase 6 (HDAC6), and evaluate the therapeutic potential of Sirt2 inhibition in restoring metabolic balance and protecting against diabetic nephropathy-associated podocyte stress. Methods: Comparative expression analysis was performed between hPodo and HEK293T kidney cells. Pharmacological inhibition of Sirt2 was carried out using acylglycerol kinase 2 (AGK2), alongside siRNA-mediated Sirt2 knockdown. AMPK/AKT/mTOR signaling activity was assessed by Western blotting and functional assays to determine metabolic and growth responses. Results: Human podocytes exhibited significantly elevated Sirt2 expression and high levels of HDAC6, forming a unique Sirt2–HDAC6 regulatory complex. Inhibition or silencing of Sirt2 induced robust AMPK activation while suppressing AKT/mTOR signaling. This signaling reprogramming restored energy sensing and attenuated hyperactive growth pathways, alleviating podocyte stress. Acylglycerol kinase 2 treatment reestablished metabolic homeostasis by disrupting Sirt2-mediated repression of AMPK. Conclusions: Sirtuin 2 inhibition, particularly through AGK2, emerges as a novel pharmacological strategy to protect podocytes, restore metabolic regulation, and potentially slow the progression of diabetic nephropathy. Significance Statement By inhibiting one of the important intracellular signaling pathways in human kidney cells, we could reduce the cellular stress that is commonly observed in diabetic kidney injury. This could serve as a drug target to slow the progression of kidney disease associated with diabetes mellitus.

Open Access: Yes

DOI: 10.5812/ijpr-165603

Football and Politics in Twentieth-Century Hungary

Róbert Győri Szabó

Publication Name: International Journal of the History of Sport

Publication Date: 2019-02-11

Volume: 36

Issue: 2-3

Page Range: 131-148

Description:

In the eastern part of Europe football has always been in close relationship with the political sphere. As the most popular sport it was always a state affair in this area. In the countries surrounded by enemies and rivals suffering from inferiority complex, politics sometimes tried to use soccer as a means of legitimacy and propaganda. The nationalist political elites tried to exploit the political potentials of football. During the dualistic era (1867–1918) soccer was represented in Hungary as the symbol of cultural superiority especially in contrast to Austria; in the inter-war period it was an expression of symbolizing being European, the wish to belong to Western Europe and an evidence of Hungarians’ greatness in opposition to neighbouring countries. In the hands of totalitarian socialist powers, soccer became an even more important political vehicle in order to prove the superiority of socialism above capitalism, to legitimate dictatorship by exploitation football results as the regime’s own victories, and it could channel the sentiments and passions of the people. During ‘soft dictatorship’ of Kádár-era the political control over football remained unchanged, however influence was rather indirect and less drastic.

Open Access: Yes

DOI: 10.1080/09523367.2019.1629583

Reconstruction decision model for trasportation infrastructure systems

István Pályi Ildikó Gombaszögi Lajos Tóth Peter Varlaki

Publication Name: Isciii 07 3rd International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2007-01-01

Volume: Unknown

Issue: Unknown

Page Range: 163-166

Description:

Improving transportation infrastructure raises several questions requiring complex analysis. Creating the mathematic model for transportation reconstruction needed developing a quick, dynamic programming process which considers the costs of single reconstruction phases and the direct or indirect profit emerging after completing reconstruction works. In the study we examined the application possibilities of the highly prestigious Bellman-theorem. We found that the combinatorial method for optimal distribution of investments is not very efficient in the current issue, although it applies the sequential method and the Bellman-theorem in a remarkable way. The method proposed in the study applies exponential partial profit-functions. The primary advantage is that it solves the problem of the complicated nonlinear dynamic programming on the basis of direct relations, without numeric analysis. Consequently, results are supplied quickly and the method allows solving enormous problems without any constraints. © 2007 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2007.367382