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Found 6414 publications

Environmental effects, population genetic parameters, breeding value, phenotypic and genetic trend for age at first calving of limousin cows

Szabolcs Bene Eszter Szabó Márton Szűcs Judit Márton Ferenc Szabó Péter J. Polgár

Publication Name: Journal of Central European Agriculture

Publication Date: 2021-01-01

Volume: 22

Issue: 2

Page Range: 240-249

Description:

Some environmental effects, population genetic parameters, breeding value of Limousin breeding bulls, also phenotypic and genetic trends in the age at first calving (AFC) of cows between 1992 and 2013 were estimated. Data were served by the Limousin and Blonde d’Aquitaine Breeders Association, in Hungary. The study was extended to three herds and 1157 cows. GLM method was used for the study of different effects, the BLUP animal model for estimation of population genetic parameters and breeding values (BV), and one-way linear regression analysis for trend calculations. The overall mean value of the AFC was estimated to be 34.7±0.4 months. The contribution of the evaluated factors to the phenotype was as follows: herd 73.51%, birth year of cow 13.02%, sire 6.74%, birth season of cow 1.62%. The heritability of AFC proved to be low (h2 = 0.08±0.07 and h2 = 0.01±0.04). There were relatively small differences in the estimated BV of the studied sires for the AFC. Based on the phenotypic trend calculation, the AFC of cows decreased by an average of 0.33 months per year, however no significant change was found in the genetic trend during the study period.

Open Access: Yes

DOI: 10.5513/JCEA01/22.2.3161

Optimization of damping pad distribution on body-in-white car structure

Dániel Feszty Marcell Treszkai David Sipos

Publication Name: Journal of Vibroengineering

Publication Date: 2022-01-01

Volume: 24

Issue: 2

Page Range: 386-393

Description:

Structure-born noise is one of the most important contributors to the interior noise in a vehicle cabin. This can be effectively reduced by placing damping pads with special material properties along the chassis and on the large, radiating panels. This paper proposes a new methodology for the optimization of placing these pads as a part of a full vehicle acoustic simulation in Actran Virtual SEA. With this new strategy, it was possible to reduce the among of damping pads on a real car structure by 33 % while keeping the same acoustic performance. This was validated by investigating the mean velocity of the floor panel in two load cases and compared to the original damping pad layout to the optimized one.

Open Access: Yes

DOI: 10.21595/jve.2021.22158

Molecular dynamics simulation of carbon nanostructures: The D5h C70 fullerene

Ibolya Zsoldos István László

Publication Name: Physica E Low Dimensional Systems and Nanostructures

Publication Date: 2014-02-01

Volume: 56

Issue: Unknown

Page Range: 422-426

Description:

Molecular dynamics calculations can reveal the physical and chemical properties of various carbon nanostructures or can help to devise the possible formation pathways. In our days the most well known carbon nanostructures are the fullerenes and the nanotubes. They can be thought of as being formed from graphene sheets, i.e. single layers of carbon atoms arranged in a honeycomb lattice. Usually the nature does not follow the mathematical constructions. An ideal nanotube can be thought of as a hexagonal network of carbon atoms that has been rolled up to make a cylinder. There is not any theory of carbon nanotube formation which is based on this construction. Although the first time the C60 and C70 were constructed by laser irradiated graphite, the fullerene formation theories are based on various fragments of carbon chains, and networks of pentagonal and hexagonal rings. In the present article different initial patterns will be given for the formation of the C70 fullerene with D5h symmetry. The desired final structures are obtained in tight-binding molecular dynamics calculations. © 2013 Published by Elsevier B.V.

Open Access: Yes

DOI: 10.1016/j.physe.2012.08.009

A Long Short-Term Memory-Based Deep Learning Digital Twin of a Li-Ion Cell for Battery SOC Estimation †

József Richárd Lennert Denes Fodor

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study aims to implement the digital twin of a Li-ion battery by using real measurement data and to create a deep learning-based SOC (state of charge) estimation solution. In the case of the SOC estimator, a special type of deep learning, so-called long short-term memory (LSTM), was used to increase the capabilities of the estimator. The digital twin and the SOC estimator were created by using MATLAB and MATLAB/Simulink. As a result, the implemented system can accurately simulate the non-linearities of the Li-ion battery and provide a satisfactory estimation of the SOC of the battery.

Open Access: Yes

DOI: 10.3390/engproc2024079016

Examining the links between logistics outsourcing, company competitiveness and selected performances: the evidence from an emerging country

Innocent Senyo Kwasi Acquah Yaw Agyabeng-Mensah Ebenezer Afum Joseph Amponsah Owusu Essel Dacosta Charles Baah Clifford Sekyere Owusu

Publication Name: International Journal of Logistics Management

Publication Date: 2021-01-01

Volume: 32

Issue: 3

Page Range: 1068-1090

Description:

Purpose: This study examines the mediation effects of time-based competitiveness, cost-based competitiveness and customer performance between logistics outsourcing and financial performance. Design/methodology/approach: The study relied on a questionnaire as the primary data collection instrument and further employed partial least squares structural equation modelling technique to test all formulated hypotheses. Findings: The results demonstrate that logistics outsourcing has a significant positive impact on time-based competitiveness, cost-based competitiveness, customer performance and financial performance. Time-based competitiveness and cost-based competitiveness were both found to have a significant positive impact on financial performance; however, customer performance had no significant impact on financial performance. The mediation analysis further indicates that while both time-based competitiveness and cost-based competitiveness play mediation effects between logistics outsourcing and financial performance, customer performance plays no mediation effect between logistics outsourcing and financial performance. Research limitations/implications: The sampled firms for this study came from a single emerging country; hence, the results cannot be generalized or imported to reflect the results that may be obtained from other emerging geographical settings. Practical implications: The results provide sufficient evidence for managers to turn their attention to logistics outsourcing, as a transformative business initiative, to gain time-based and cost-based competitiveness so as to improve financial performance. Originality/value: The study provides significant insight and makes an additional contribution to literature in the area of logistics outsourcing, especially by collecting data from an emerging country. Modelling time-based competitiveness, cost-based competitiveness and customer performance as mediating variables between logistics outsourcing and financial performance make this work relatively different from other studies.

Open Access: Yes

DOI: 10.1108/IJLM-05-2020-0205

Performance Comparison of IP Packet Forwarding Solutions

Melinda Kosák G. Lencse

Publication Name: 2024 47th International Conference on Telecommunications and Signal Processing Tsp 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 243-248

Description:

Nowadays we know several IP packet forwarding solutions, and they are getting faster and more efficient. We chose Fast Data Project / Vector Packet Processing (FD.io VPP) for our investigation, because it is regarded as an extremely high speed and secure networking data plane. In this paper, we present how to install and configure FD.io VPP and we also demonstrate its high IP packet forwarding performance compared to that of the Linux kernel. To achieve this, we built a testbed using two Dell PowerEdge R620 servers. One of the servers was the Tester and the siitperf measurement software was used for executing IPv4 and IPv6 packet forwarding performance tests. The other server was the DUT (Device Under Test), on which FD.io VPP was installed and its packet forwarding performance was measured. As a basis for comparison, we also measured the packet forwarding performance of the Linux kernel. It was found that FD.io VPP seriously outperformed the Linux kernel. The details of the measurements and their results are disclosed and analyzed in the paper.

Open Access: Yes

DOI: 10.1109/TSP63128.2024.10605773

The Legal Status of Independent Regulatory Organs and Their Place in the Hungarian State Administration

János Kálmán

Publication Name: Public Governance Administration and Finances Law Review

Publication Date: 2023-01-01

Volume: 8

Issue: 1

Page Range: 105-119

Description:

Independent regulatory organs as a type of administrative body were included among the central state administrative bodies upon the entry into force of the Fundamental Law of Hungary. The key feature of independent regulatory organs is that they also have the power to legislate within the framework of the regulatory authority’s activity; in other words, they can intervene in the relations of their administered sector through the creation of generally binding rules of conduct, which are enforced through the official activities falling within their scope of duties and powers. The characteristics of the legal status of independent regulatory organs and the components of their independence are therefore of particular importance in the system of public administration. The content and strength of their independence are not identical but are adapted to the professional content and EU and constitutional requirements of the specialised area of administration for which the Fundamental Law authorises the National Assembly to establish these bodies.

Open Access: Yes

DOI: 10.53116/pgaflr.6561

Effect of temperament on milk production, somatic cell count, chemical composition and physical properties in lacaune dairy sheep breed

Ferenc Pajor Péter Póti Akos Bodnar Gábor Tóth Enikő Hamar Abayné László Gulyás

Publication Name: Mljekarstvo

Publication Date: 2017-09-29

Volume: 67

Issue: 4

Page Range: 261-266

Description:

Effect of temperament on milk yield, lactation length, physico-chemical properties and somatic cell count of Lacaune ewes were evaluated. The investigation was carried out at a sheep farm in the county of Győr-Moson-Sopron. The temperament of 106 Lacaune ewes was measured by the temperament 5-point-scale test (1=very nervous, 5=very quiet) during milking. Furthermore, 42 ewes were randomly selected from a herd of 106 animals for the analysis of milk composition (fat, protein and lactose), pH, electrical conductivity as well as somatic cell count. It was found that the temperament had a significant effect on lactation length and lactation milk production, lactose, electrical conductivity and somatic cell count. Calm ewes had significantly longer lactation (4 score: 220.7 day; 5 score: 201.4 day) as well as higher milk production (4 score: 207.9 kg; 5 score: 193.3 kg) compared to more temperamental animals (2+3 scores: 166.5 day and 135.5 kg; P<0.05). The content of lactose was significantly lower (4.32) in the more temperamental group, while electrical conductivity was higher (4.81 mS cm-1) compared to calmer animals (4.69 % and 4.16 mS cm-1). Additionally, significant differences were found in milk somatic cell count among the temperament categories. Calmer ewes had a lower somatic cell count in milk (5.17 log cm-3) than more temperamental ones (5.67 log cm-3; P<0.05).

Open Access: Yes

DOI: 10.15567/mljekarstvo.2017.0403

AI-neural network modelling of Williamson blood flow in porous medium Soret-Dufour effects with tetra hybrid nanoparticles

Assmaa Abd-Elmonem Wasim Jamshed Hijaz Ahmad Nagat A.A. Siddig K. Sudarmozhi K. Sudarmozhi V. Sreelatha Devi Hakan F. Öztop

Publication Name: International Communications in Heat and Mass Transfer

Publication Date: 2026-02-01

Volume: 171

Issue: Unknown

Page Range: Unknown

Description:

This manuscript delineates a thorough study on the heat and mass transfer phenomenon of the Williamson fluid flow embedded with a tetra-hybrid nanofluid evaluating a wide range of considered and physical effects such as magnetohydrodynamics (MHD), porous medium, radiative heat flux, Joule heating, Soret and Dufour effects, and a Stefan blowing parameter at the boundary, and the rest. A tetra-hybrid nanofluid containing nanofluid gold (Au), silver (Ag), titanium dioxide (TiO₂), and aluminium oxide (Al₂O₃) is used for the improvement of significant thermal and mass transport characteristics. In the back, the demand for efficient thermal systems relates to sets with multiple, integrated transport mechanisms; however, the synergistic transport mechanisms have been largely unexplored, and the coupled hybrid advanced dimensions nanofluids have been unexplored in terms of their combined influences on these parameters. The core target was to examine the active relationships within the physical dynamics parameters while also evaluating the relative increases in the velocity, temperature, and concentration. This paper employs a robust computational approach to the study by solving the governing systems of non-linear ordinary differential equations using an appropriate method of similarity transformation and subsequent numerical techniques. The integration of artificial neural network (ANN) models within this spectrum for the first time, with predictions and optimization set for the outputs, adds a new dimension to this work. The data show that incorporating Soret and Dufour effects, along with the tetra-hybrid nanoparticles, markedly increases the Nusselt and Sherwood numbers, indicating improved heat and mass transfer rates. Furthermore, streamline plots are created to illustrate alterations in the flow structure induced by the Soret and Dufour parameters. This research makes valuable contributions to the development of refined cooling technologies, particularly in energy, chemical, and other process-oriented industries, highlighting the practical utility and innovation potential of the synergistic application of artificial neural networks alongside sophisticated nanofluid models.

Open Access: Yes

DOI: 10.1016/j.icheatmasstransfer.2025.110107