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Publications - 6674

Developing water supply system in Szogye

Istvan Lakatos Nikolett Fecser

Publication Name: Pollack Periodica

Publication Date: 2022-04-30

Volume: 17

Issue: 1

Page Range: 94-99

Description:

The deteriorative processes occurring in the environment, the growth of population, the water demand of industry and agriculture, point out day after day the increasing role of water management. The economical use of drinking-water consumption as well as the cost reduction is becoming more and more important. In this research, the measure of a water supplier of Gyor was examined in terms of implementing the purposes above.

Open Access: Yes

DOI: 10.1556/606.2021.00467

Measurement and simulation of magnetic flux density, a comparative study

Miklós Kuczmann Gergely Friedl

Publication Name: Pollack Periodica

Publication Date: 2014-04-01

Volume: 9

Issue: 1

Page Range: 133-144

Description:

The paper presents a modified version of the T.E.A.M. Problem No. 32 of the Compumag Society. The original problem is a measurement arrangement to study the magnetic flux density distribution inside an EI ferrite core. A finite element simulation of the device in the frame of COMSOL Multiphysics using the A-formulation has been worked out. First, the device has been realized, and a LabVIEW program has been implemented to measure the waveform of the voltage of B-coils. The geometry and the solution of the problem have been implemented in the frame of COMSOL Multiphysics, to calculate magnetic flux density at the points, where B-coils are on the core.

Open Access: Yes

DOI: 10.1556/Pollack.9.2014.1.14

Novel Methods of FCM Model Reduction

Miklos Ferenc Hatwagner László T. Kóczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2022-01-01

Volume: 955

Issue: Unknown

Page Range: 101-112

Description:

Fuzzy Cognitive Maps are widely applied to support decision making tasks. It is often hard for experts to create the model of a system that provides the required accuracy but simple enough to easily use in practice. In general, it is better to create complex models first, because they can be computationally reduced later until they preserve the required accuracy but become simple enough. Two novel Fuzzy Cognitive Map reduction methods based on K-Means and Fuzzy C-Means clustering are suggested in order to generate simplified models that hopefully mimic the behavior of the original model better than the already existing methods. After the quick overview of the existing techniques found in literature, a simple and a complex model of a real-life problem are reduced to varying degrees with the suggested new methods and with an existing one. The first results of the comparison are published in this paper, too.

Open Access: Yes

DOI: 10.1007/978-3-030-88817-6_12

Speeding up the performance analysis of communication systems

Gabor Lencse

Publication Name: 2005 European Simulation and Modelling Conference Esm 2005 Proceedings

Publication Date: 2005-01-01

Volume: Unknown

Issue: Unknown

Page Range: 329-333

Description:

The methods for the performance analysis of communication networks are reviewed. Different ways are shown how the combination of DES and TFA can be made faster by using parallelism. An efficient algorithm for the parallel execution of the combined DES and TFA is presented.

Open Access: Yes

DOI: DOI not available

Genetics of diabetes and its complications: a comprehensive review

Khalid Muhammad D. U. Ozsahin Y. Waheed Ilker Ozsahin Ahsan Javed Abdul Sami

Publication Name: Diabetology and Metabolic Syndrome

Publication Date: 2025-01-01

Volume: 17

Issue: 1

Page Range: Unknown

Description:

Background Diabetes mellitus (DM) affects hundreds of millions of people worldwide. Genetic research plays a cru-cial role in managing diabetes by providing valuable insights into genetic predispositions, facilitating early diagno-sis, and enabling personalized treatment strategies. Identification of important genetic markers has paved the way for the creation of targeted therapies, enhancing treatment outcomes and promoting preventive care for both type 1 diabetes mellitus ( T1DM) and type 2 diabetes mellitus ( T2DM). The aim of this study is to explore the role of different genes in the development of DM and its related complications. Methodology A comprehensive literature search was conducted from October 27 to November 14, 2024, to enlist articles related to genes involved in development of DM and its complications in search engines including PubMed, Medline, Google Scholar, and Scopus. We included original articles, case–control studies, cohort studies, review arti-cles, systematic review, and meta-analysis published between January 1, 2014, and November 14, 2024 in our study. Results In T1DM; research has historically concentrated on the role of HLA class II genes. However, recent studies have brought attention to the role of HLA class I genes in the disease’s development, suggesting a broader role of genetics than previously understood. CTLA4, IL2RA, and PTPN22, genes were also significantly linked to T1DM. In T2DM; TCF7L2 was found to be the most potent gene for its development among others genes such as LCAT, APOE, FTO. For gesta-tional diabetes mellitus (GDM), MTNR1B, CDKAL1, and IRS1 genes played an important role. Conclusion Genetics played an important role in the understanding of DM. Researchers have identified new genetic loci that can serve as diagnostic markers for DM and its associated compilations such as diabetic kidney disease (DKD), diabetic neuropathy (DN), diabetic retinopathy (DR) and cardiovascular diseases (CVDs). TCF7L2 and HLA class II are the strongest risk factors for T2DM and T1DM, respectively. Understanding the genetics of DM and its complications is essential for improving early detection, enhancing treatment outcomes, and developing targeted therapies for DM patients.

Open Access: Yes

DOI: 10.1186/S13098-025-01748-Y

SHEAB: A Novel Automated Benchmarking Framework for Edge AI

Sandor R. Repas Mustafa Abdulkadhim

Publication Name: Technologies

Publication Date: 2025-11-01

Volume: 13

Issue: 11

Page Range: Unknown

Description:

Edge computing is characterized by heterogeneous hardware, distributed deployment, and a need for on-site processing, which makes performance benchmarking challenging. This paper presents SHEAB (Scalable Heterogeneous Edge Automation Benchmarking), a novel framework designed to securely automate the benchmarking of Edge AI devices at scale. The proposed framework enables concurrent performance evaluation of multiple edge nodes, drastically reducing the time-to-deploy (TTD) for benchmarking tasks compared to traditional sequential methods. SHEAB’s architecture leverages containerized microservices for orchestration and result aggregation, integrated with multi-layer security (firewalls, VPN tunneling, and SSH) to ensure safe operation in untrusted network environments. We provide a detailed system design and workflow, including algorithmic pseudocode for the SHEAB process. A comprehensive comparative review of related work highlights how SHEAB advances the state-of-the-art in edge benchmarking through its combination of secure automation and scalability. We detail a real-world implementation on eleven heterogeneous edge devices, using a centralized 48-core server to coordinate benchmarks. Statistical analysis of the experimental results demonstrates a 43.74% reduction in total benchmarking time and a 1.78× speedup in benchmarking throughput using SHEAB, relative to conventional one-by-one benchmarking. We also present mathematical formulations for performance gain and discuss the implications of our results. The framework’s effectiveness is validated through the concurrent execution of standard benchmarking workloads on distributed edge nodes, with results stored in a central database for analysis. SHEAB thus represents a significant step toward efficient and reproducible Edge AI performance evaluation. Future work will extend the framework to broader workloads and further improve parallel efficiency.

Open Access: Yes

DOI: 10.3390/technologies13110515

Faunistic and taxonomic data on arboreal oribatid mites (Acari, Oribatida) from Can Gio Biosphere Reserve, Vietnam

Sergey G. Ermilov Jenő Kontschán V. M. Salavatulin

Publication Name: International Journal of Acarology

Publication Date: 2025-01-01

Volume: 51

Issue: 7-8

Page Range: 530-537

Description:

Eleven species of oribatid mites, belonging to eight genera and seven families, were collected from mangrove trees in the Can Gio Biosphere Reserve, Vietnam. One new species–Cultrobates gioensissp. nov. (Ceratokalummidae)–is described. It differs from all representatives of the genus by the presence of monodactylous legs. A supplementary description of Malaconothrus canopeus (Iglesias, Palacios-Vargas and Mahunka, 2001) (Malaconothridae) is presented, based on Vietnamese materials, along with summarized diagnostic morphological traits. https://zoobank.org/lsid:zoobank.org:pub:5F01722A-71BF-4ED8-9D74-89F2F517A521.

Open Access: Yes

DOI: 10.1080/01647954.2025.2571119

Finite Element Modeling and Laboratory Performance Evaluation of Lignin, Basalt and Polyester Fiber-Reinforced Asphalt Mixtures

Richard Nagy Mohammad Fahad

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-04-01

Volume: 15

Issue: 7

Page Range: Unknown

Description:

The performance of styrene-butadiene-styrene (SBS) modified asphalt mixtures can be further improved by adding a variety of fibers available. Addition of fibers provides a cost-effective solution against increasing the dosage of SBS modified asphalt mixtures. Therefore, in this research three different types of fibers—basalt fiber, polyester fiber and lignin fiber—were added to SBS-7% bitumen binder and their performance was compared with SBS-7% mixture without any fibers. The performance was compared using laboratory tests, including indirect tensile strength tests and dynamic shear rheometer. Indirect tensile strength of all the mixtures was evaluated at various loading rates from 10 MPa/s to 70 MPa/s. Furthermore, stiffness moduli of mixtures were evaluated at frequency rages of 5 Hz, 3.5 Hz, 1.9 Hz and 1.2 Hz. Finite element simulations were conducted using the Burger’s logit model, and microstrain analysis was performed to evaluate rutting and fatigue damage. The results show increased performance in terms of gained tensile strength and complex shear modulus for fiber-modified mixtures. Among the fiber-modified mixtures, basalt fiber outperforms other mixtures. PF and LF exhibit almost similar performances. Basalt fiber mixture outperforms the SBS-7% mixture by 25% and 28% in terms of rutting and fatigue damage, respectively.

Open Access: Yes

DOI: 10.3390/app15073953

THE ROLE OF GEOPARKS IN SUSTAINABLE TOURISM DEVELOPMENT: A CASE STUDY APPROACH

Lóránt Dávid Botond Géza Kálmán Szilárd Malatyinszki

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 59

Issue: 2

Page Range: 572-586

Description:

This study aims to explore the role of geoheritage in sustainable tourism development by integrating geosites into tourism planning and analyzing their impact on local economies, environmental conservation, and community well-being, and visitor relaxation. The study also examines how the principles of a circular society, which emphasize resource regeneration and human well-being, can be applied to enhance the sustainability and appeal of geoheritage-based tourism. A mixed-methods approach was used, incorporating both qualitative and quantitative analyses. Case studies from Azores Geopark, Jeju Island Geopark, and Marble Arch Caves Geopark were selected to evaluate the socio-economic and environmental impacts of geoheritage-based tourism. The results indicate that geoheritage-based tourism significantly contributes to economic growth and environmental conservation, particularly when supported by strong community involvement and infrastructure development. Statistical analyses revealed positive correlations between visitor numbers and economic benefits, as well as between community engagement and conservation outcomes. Additionally, the promotion of relaxation at geosites was found to reinforce both environmental stewardship and visitor satisfaction, aligning with circular society principles by creating a regenerative tourism model. Geoheritage-based tourism promotes sustainable development by balancing economic, environmental, and social dimensions. The findings suggest that successful tourism management requires careful planning, infrastructure investment, and active community participation. This study did not include a comparative analysis of areas that are underutilized in terms of both geoheritage and geosites with tourism potential, primarily due to limited resources and time constraints. Incorporating such a comparison would offer valuable insights into the key conditions required for the successful development of geoheritage-based tourism. It is anticipated that future research will address these limitations by broadening the scope of case studies to include a more diverse range of geographical contexts. Moreover, future studies should seek to integrate qualitative approaches alongside quantitative approaches in order to better understand the wider social and cultural role and impacts of geoheritage-based tourism, which can thus be an important tourism product worldwide.

Open Access: Yes

DOI: 10.30892/gtg.59206-1438