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Publications - 6278

Galerkin finite element analysis of trihybrid nanofluid flow in porous corrugated cavities with thermal radiation and ANN validation

Mohamed R. Eid Syed M. Hussain Hijaz Ahmad Noor Zeb Khan Kamel Guedri Asad Ullah Wasim Jamshed

Publication Name: Results in Engineering

Publication Date: 2026-06-01

Volume: 30

Issue: Unknown

Page Range: Unknown

Description:

This work tackles the issue of enhancing heat transmission and minimizing entropy formation in tiny enclosures pertinent to thermal energy storage. It looks at how magnetohydrodynamic (MHD), non-Darcian porous media, a ternary hybrid nanofluid composition (Fe3O4–hBN–CuO/water), and triangle corrugation work together in a corrugated rectangular cavity. The goal is to figure out how these things affect convection, entropy formation, and the overall efficiency of the thermodynamic system. Utilizing the Galerkin finite element technique (GFEM), we found numerical solutions to the mathematical models for momentum, energy, and entropy generation. The effects of the porosity parameter, ternary nanoparticle concentration, Hartmann number, Darcy number, and Rayleigh number were carefully studied for the cavities' flat and triangular corrugated walls. Artificial Neural Network (ANN) model was developed and trained to predict the average Nusselt number and total entropy generation with high precision, using fewer computational resources compared to conventional CFD approaches. It is observed that the ANN model is used mostly as an ancillary prediction instrument derived from FEM-generated data, rather than as the principal computational framework. The results show that corrugated shapes improve local heat transfer by increasing the surface area and causing flow disruptions. However, too many corrugations lower the average Nusselt numbers because they cause recirculation. Higher Rayleigh numbers make buoyancy-driven convection stronger, whereas larger magnetic fields make circulation weaker, which makes conduction-dominated transport more likely and lowers entropy generation. The porosity and Darcy number have a big effect on convective intensity and entropy formation. On the other hand, the right number of nanoparticles may boost thermal conductivity without making irreversibility too high. The ANN model showed great prediction ability (MSE≈1.12 × 10⁻⁷), which proved that it works well for quickly testing Multiphysics systems. These results show that integrating ternary nanofluids, controlling porous media, and changing the magnetic field may improve thermal performance in advanced applications, including solar collectors, cooling electronics, and thermal energy storage devices. Combining ANN prediction gives us a solid base for designing and improving next-generation heat management solutions in a way that works well.

Open Access: Yes

DOI: 10.1016/j.rineng.2026.110937

Dataflow-based heterogeneous code generator for IoT applications

Endri Bezati Nebojša Taušan Gábor Paller Gábor Élo Gabor Farkas

Publication Name: Modelsward 2019 Proceedings of the 7th International Conference on Model Driven Engineering and Software Development

Publication Date: 2019-01-01

Volume: Unknown

Issue: Unknown

Page Range: 428-434

Description:

The latest wave of connected digital systems, nowadays called Internet of Things (IoT) promises various gains, especially in terms of significant ease of data access. A large number of different platforms for IoT applications, however, makes their development difficult and time-consuming leading to projects that are failed to be on time, on budget or fully completed. To address the platform heterogeneity, this paper presents the ongoing work on development environment called Orcc-IoT. Orcc-IoT facilitates the development of IoT by combining dataflow modelling language, heterogeneous code generator and the library of ready-made IoT actors. The utilisation of Orcc-IoT in development is expected to increase the quality, and to reduce the development costs and time-to-market of IoT applications.

Open Access: Yes

DOI: 10.5220/0007496804280434

Two sides of one medal: Arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

Alicia Cirujeda Valerijus Rašomavičius Michael Glemnitz Jana Bürger Guillaume Fried Jevgenija Ņečajeva Lena Ulber Silvia Fogliatto Michaela Kolářová Eva Hernández Plaza Matthias Schumacher Bärbel Gerowitt Gyula Pinke Sandrine Petit Christoph Redwitz Helen Metcalfe Denise Fu Dostatny Filip Küzmič José Luis González-Andújar Zdeňka Lososová Francesco Vidotto Erwin Bergmeier Milan Chytrý Jordi Izquierdo Florian Jansen Urban Šilc

Publication Name: Applied Vegetation Science

Publication Date: 2022-01-01

Volume: 25

Issue: 1

Page Range: Unknown

Description:

Questions: Two scientific disciplines, vegetation science and weed science, study arable weed vegetation, which has seen a strong diversity decrease in Europe over the last decades. We compared two collections of plot-based vegetation records originating from these two disciplines. The aim was to check the suitability of the collections for joint analysis and for addressing research questions from the opposing domains. We asked: are these collections complementary? If so, how can they be used for joint analysis?. Location: Europe. Methods: We compared 13 311 phytosociological relevés and 13 328 records from weed science, concerning both data collection properties and the recorded species richness. To deal with bias in the data, we also analysed different subsets (i.e., crops, geographical regions, organic vs conventional fields, center vs edge plots). Results: Records from vegetation science have an average species number of 19.0 ± 10.4. Metadata on survey methodology or agronomic practices are rare in this collection. Records from weed science have an average species number of 8.5 ± 6.4. They are accompanied by extensive methodological information. Vegetation science records and the weed science records taken at field edges or from organic fields have similar species numbers. The collections cover different parts of Europe but the results are consistent in six geographical subsets and the overall data set. The difference in species numbers may be caused by differences in methodology between the disciplines, i.e., plot positioning within fields, plot sizes, or survey timing. Conclusion: This comparison of arable weed data that were originally sampled with a different purpose represents a new effort in connecting research between vegetation scientists and weed scientists. Both collections show different aspects of weed vegetation, which means the joint use of the data is valuable as it can contribute to a more complete picture of weed species diversity in European arable landscapes.

Open Access: Yes

DOI: 10.1111/avsc.12460

THE FINANCIAL SUSTAINABILITY OF ROBOT-ASSISTED SURGERY (RAS)

Eszter Lukács Domonkos Tinka

Publication Name: Transformations in Business and Economics

Publication Date: 2025-01-01

Volume: 24

Issue: 3A

Page Range: 604-623

Description:

In a previous study, it was concluded that the da Vinci robotic systems installed in the Hungarian healthcare system were, with one privately funded exception, fully financed by EU funds. The present article drives a similar conclusion on a global scale. Massive public investments, or reimbursements, are needed to ensure the prevalence and financial sustainability of robotic surgical systems. The financial sustainability of RAS depends on the economic development of a country and its healthcare system, the number of medical schools, the history of robotic surgery and the funding mechanisms of the healthcare system. Even in the most advanced economies of the world, access to the benefits of RAS may be burdened by limitations in terms of financial (funding) and geographical access.

Open Access: Yes

DOI: DOI not available

Consumer Cost Perception and Its Role in Hydrogen Vehicle Adoption †

Nikolett Gyurián Nagy Nikolett Gyurián Nagy

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The widespread adoption of hydrogen-powered vehicles as a sustainable mobility solution depends on several factors, among which consumer acceptance is particularly important. This study examined how cost perception, demographic characteristics, and environmental attitudes influence the intention to adopt hydrogen-powered vehicles. The quantitative study (n = 1330) was conducted using an online questionnaire in Hungary. The results were verified by linear regression conducted in three steps, depending on the set of dependent variables chosen. The results showed that while cost perception alone has a moderate effect on acceptance, environmental attitudes have a strong and significant explanatory power. Acceptance is not merely an economic decision, but a value-based one closely linked to individuals’ environmental worldviews. The results highlight that the acceptance of hydrogen-based mobility is primarily a value-based decision, and that strengthening environmental commitment is key to promoting it.

Open Access: Yes

DOI: 10.3390/engproc2025113065

Conceptual Framework for Adaptive Bacterial Memetic Algorithm Parameterization in Storage Location Assignment Problem

János Botzheim Tamás Bódis Kitti Udvardy Polina Görbe

Publication Name: Mathematics

Publication Date: 2024-12-01

Volume: 12

Issue: 23

Page Range: Unknown

Description:

Recognized as an NP-hard combinatorial challenge, Storage Location Assignment Problem (SLAP) demands heuristic or algorithmic solutions for effective optimization. This paper specifically examines the enhancement of SLAP through the utilization of evolutionary algorithms, as they are particularly suitable for complex cases. Among others, the genetic algorithm (GA) is typically applied to solve this problem. This paper investigates the Bacterial Memetic Algorithm (BMA) as a possible solution for optimization. Though the comparative analysis of the BMA with the previously well-used GA algorithm under certain test parameters reveals that BMA is suitable for SLA optimization, BMA failed to achieve better results. We attribute the unsatisfactory results to the parameter settings, as illustrated by a few specific examples. However, the complexity of the problem and the parameterization does not allow for continuous manual parameter adjustment, which is why we have identified the need for a concept that automatically and adaptively adjusts the parameter settings based on the statistics and fitness values obtained during the execution. The novelty of this paper is to specify the concept of adaptive BMA parameterization and rules.

Open Access: Yes

DOI: 10.3390/math12233688

Conformal cooling with heat-conducting inserts by direct metal laser sintering

István Hatos B. Kocsis H. Hargitai

Publication Name: Iop Conference Series Materials Science and Engineering

Publication Date: 2018-11-30

Volume: 448

Issue: 1

Page Range: Unknown

Description:

With the development of layer manufacturing technologies injection mold inserts with conformal cooling channels can be manufactured. If the cooling channels can be placed along the geometry, the heat removal is uniform and effective. In tight mold regions, formation of cooling channel is not possible or not efficient. The combination of conformal cooling and heat conductive insert can be an ideal solution for the effective cooling.

Open Access: Yes

DOI: 10.1088/1757-899X/448/1/012027

Comparative and phylogenomic analysis of nuclear and organelle genes in cryptic Coelastrella vacuolata MACC-549 green algae

B. Pap Attila Farkas Torda Varga Gergely Maróti Prateek Shetty Bettina Hupp Vince Ördög Tibor Bíró

Publication Name: Algal Research

Publication Date: 2021-10-01

Volume: 58

Issue: Unknown

Page Range: Unknown

Description:

The nuclear, chloroplast and mitochondrial genomes of a unicellular green algal species of the Coelastrella genus was sequenced, assembled and annotated. The strain was previously classified as Chlamydomonas sp. MACC-549 based on morphology and partial 18S rDNA analysis. However, the proposed multi-loci phylogenomic approach described in this paper placed this strain within the Coelastrella genus, therefore it was re-named to Coelastrella vacuolata MACC-549. The strain was selected for de novo sequencing based on its potential value in biohydrogen production as revealed in earlier studies. This is the first thorough report and characterization for green algae from the Coelastrella genus. The whole genome annotation of Coelastrella vacuolata MACC-549 (including nuclear, chloroplast and mitochondrial genomes) shed light on interesting metabolic and sexual breeding features of this algae and served as a basis to taxonomically classify this strain.

Open Access: Yes

DOI: 10.1016/j.algal.2021.102380

Influence of the Tolerances of the Threaded Joints on Preloaded Bolted Connection

Bider Zsolt

Publication Name: Strojnicky Casopis

Publication Date: 2025-04-01

Volume: 75

Issue: 1

Page Range: 173-178

Description:

On the base of experimental results we can conclude that the mini bolt and large internal threads as well as large bolt and mini internal thread combination leads to developing of not satisfied preload. It means that the combination of marginal values of the tolerance field could cause "loose"or "forced"fittings. If we consider the presence of lubricant it could effect the overloading of the bolt connection.

Open Access: Yes

DOI: 10.2478/scjme-2025-0018