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Found 6341 publications

Population Genetic Features of Calving Interval of Holstein-Friesian Cows Bred in Hungary

Szabolcs Bene J. Péter Polgár László Bognár Zsolt J. Kőrösi Ferenc Szabó

Publication Name: Animals

Publication Date: 2024-09-01

Volume: 14

Issue: 17

Page Range: Unknown

Description:

Calving interval (CI) data (N = 37,263) from 17,319 cows born 2008–2018 in six herds were assessed. The data were made available by the National Association of Hungarian Holstein Friesian Breeders in Hungary. The effects of some genetic and environmental factors, population genetic parameters, breeding value (BV) of sires, and phenotypic and genetic trends of the CI were estimated. The GLM method was used for studying different effects on the CI. BLUP animal model was used for heritability (h2) and BV estimation. Linear regression analyses were applied for the trend calculation. The mean of the CI was 412.2 ± 2.0 days. The h2 of the CI proved to be low (0.07 ± 0.01 and 0.08 ± 0.01). There were relatively high differences among the sires in the estimated BV. Based on the phenotypic trend calculation, the CI of cows showed decreasing direction by an average of 1.80 days per year (R2 = 0.94; p < 0.01). In the case of genetic trend calculation, the average BV of sires in the CI has decreased −4.94 and −0.31 days per year (R2 = 0.91 and 0.41; p < 0.01).

Open Access: Yes

DOI: 10.3390/ani14172513

Cyberfare State1 Concept The Impact of the Transformation of Individuals and Their Relationships on the Functioning and Security of the State

Roland Kelemen

Publication Name: Journal of Information Ethics

Publication Date: 2024-09-01

Volume: 33

Issue: 2

Page Range: 37-48

Description:

The study builds on the basic idea of the cyberfare state model to show the impact of cyberspace on individuals and their interconnections; i.e., the social networks. In doing so, it shows that the basic characteristics of these segments of the social totality have undergone significant qualitative and quantitative changes in recent decades, shaping their dynamics, malleability and overall impact on state security. Accordingly, the state had to respond to this phenomenon, to which they gave different answers based on their relationship to the rule of law. The states of the smart total control cyberfare state have moved toward Orwellian rule, also using the achievements of cyberspace, while in the case of democratic states the only way forward is to strengthen the capabilities of individuals (users) and increase their knowledge. In the second half of the paper, the author reviews the steps taken to this end.

Open Access: Yes

DOI: 10.2307/JIE.33.2.37

Tribological investigation of the effect of nanosized CuO and TiO2 on a base oil containing Komad 323 dispersant

I. Szabó Márk Marsicki Hajnalka Hargitai

Publication Name: Jurnal Tribologi

Publication Date: 2024-09-01

Volume: 42

Issue: Unknown

Page Range: 103-128

Description:

This article investigates the impact of copper(II) oxide (CuO) and titanium dioxide (TiO2) nanoparticles in Group III base oil with 8 wt% Komad 323 dispersant. Nanoparticles underwent ethyl oleate surface modification. Tribological properties were assessed using a linear oscillating tribometer, continuously monitoring static friction. Friction integral values were derived from extensive data acquisition. Wear analysis employed digital optical and confocal microscopy, complemented by scanning electron microscopy for wear-type characterization and energy-dispersive X-ray spectroscopy for additive quantification in the wear track. Results indicate CuO nanoparticles' poor compatibility with Komad 323, resulting in increased friction (2-13%) and substantial wear reduction (39-50%) at low CuO concentrations (≤0.3 wt%). Higher concentrations (≥0.4 wt%) reduced friction (21-35%) but led to surface fatigue and increased wear rates. Elemental composition analysis of the wear track revealed that the surface contains 1.43-3.17 norm.wt% copper. Conversely, TiO2 in synergy with the dispersant, formed a boundary layer, exhibiting lower friction by 11-14%. TiO2 formed a high wear resistance boundary layer at titanium concentrations of 0.33-0.39 norm.wt%, which resulted in 44% wear volume reduction. Applying both nanoparticles reduced the wear scar diameter of the test specimens by 3-12%.

Open Access: Yes

DOI: DOI not available

Holistic evaluation of energy transition technology investments using an integrated recommender system and artificial intelligence-based fuzzy decision-making approach

Dragan Pamucar Hasan Dincer Muhammet Deveci Ümit Hacioglu Serhat Yuksel Serkan Eti

Publication Name: Results in Engineering

Publication Date: 2024-09-01

Volume: 23

Issue: Unknown

Page Range: Unknown

Description:

The most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selection. Therefore, a new study is needed to determine the most prominent issues in the correct selection of energy transition technologies. The purpose of this study is to identify the most appropriate energy transition technology alternative. Within this framework, a novel artificial intelligence (AI)-based fuzzy decision-making model has been presented. In the first part, the experts are prioritized by the help of AI methodology. In the next section, missing evaluations of energy transition technology investments are estimated via expert recommender system. Thirdly, the weights of the criteria for energy transition technology selection are computed by quantum picture fuzzy rough sets (QPFR) M-Stepwise Weight Assessment Ratio Analysis (SWARA). At the final stage, selected energy transition technology alternatives are ranked via QPFR-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The main contribution of this study is the integration of AI technique to the proposed model. Similar to this issue, using M-SWARA methodology in the process of criteria weighting increases the quality of the findings. This methodology helps to consider the impact relation map of the criteria. The findings demonstrate that the most important factor is cost-effectiveness of energy transition. Similarly, it is also found that the local ecosystem is the second most significant issue. On the other side, the ranking results denote that compact renewable systems for small scale production is the most optimal solution of energy transition technology alternatives.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.102806

Drone Applications in Logistics and Supply Chain Management: A Systematic Review Using Latent Dirichlet Allocation

Imen Zrelli Mohammad Iranmanesh Abderahman Rejeb Karim Rejeb Rawan Abusulaiman Raghad AlSahafi

Publication Name: Arabian Journal for Science and Engineering

Publication Date: 2024-09-01

Volume: 49

Issue: 9

Page Range: 12411-12430

Description:

As an emergent technology, drones have grown increasingly integral to the logistics and supply chain management (SCM) sectors. This review paper seeks to address this gap by analyzing a carefully curated dataset of 96 journal articles, sourced from Scopus and Web of Science, concerning drone applications in logistics and SCM. Our study reveals a rising trend in drone-related logistics and SCM research and highlights the growing significance of this technology. Using latent Dirichlet allocation (LDA), we distilled the corpus into ten distinct topics and provided a comprehensive overview of the field’s thematic landscape. The most prominently studied themes were drones for humanitarian logistics and SCM and optimization of last-mile delivery using drones and trucks in urban logistics. These areas underscore the promise of drones in addressing humanitarian challenges and urban logistics optimization, respectively. Conversely, the least explored topics were drones safety and utility and drone delivery and consumer behavior in food logistics. To our knowledge, this is the first paper applying LDA to examine drone applications in logistics and SCM, offering novel insights into the current state of the literature. Moreover, based on our findings, we propose a future research agenda to encourage further exploration into under-studied areas and to sustain the momentum of this exciting field.

Open Access: Yes

DOI: 10.1007/s13369-023-08681-0

Machine learning models for the elastic-critical buckling moment of sinusoidal corrugated web beam

Andreas Müller Nurullah Bektaş G. Hajdú

Publication Name: Results in Engineering

Publication Date: 2024-09-01

Volume: 23

Issue: Unknown

Page Range: Unknown

Description:

The torsional stiffness of I-beams with sinusoidal corrugated web is higher than that of flat web beams and the accuracy of the available hand-calculation methods to determine the elastic critical lateral-torsional buckling moment depends on the geometrical parameters of the beam and the web corrugation. This study proposes different machine learning models to determine the elastic lateral-torsional buckling moments of corrugated web beams. Various machine-learning algorithms such as Decision Tree, Random Forests, Gradient Boosting, Support Vector Regression, Catboost, and Deep Neural Network were employed to develop and train for predicting the elastic-critical lateral-torsional buckling moments of I-beams with corrugated web. An extensive dataset with 2250 pieces was constructed using linear buckling analyses on full-shell finite element models to determine the elastic-critical buckling moment of simply supported beams with sinusoidal web corrugation. Based on the statistical parameters of the predicted and test data, the accuracy and safety assessment of the different machine learning models are examined. The accuracy of the available hand-calculation methods is also investigated. The results of the parametric study showed that the overall performance of the different machine learning models is promising, although, not all are directly suited for the described problem.

Open Access: Yes

DOI: 10.1016/j.rineng.2024.102371

The event-driven social responsibility in small and medium-sized enterprises

Adrienn Reisinger Roland Zsolt Szabó

Publication Name: Corporate Social Responsibility and Environmental Management

Publication Date: 2024-09-01

Volume: 31

Issue: 5

Page Range: 3927-3939

Description:

Since the survival and growth of small firms depend largely on their ability to acquire legitimacy within the institutional environment, social responsibility plays an important role in their lives. The aim of this study was to investigate how a disruption in the normal course of business can lead to an evolution and change in the social responsibility activities of small and medium-sized enterprises. Such disruptions, called critical incidents, interrupt the normal functioning of the business. The case-based exploratory study found that such critical events can have a positive impact. In particular, they can initiate the integration of socially responsible business practices. This is a journey from philanthropic donations to fully integrated socially responsible practices, often driven by internal triggering events such as organisational growth, unanticipated changes in management, or generational change, which allow new values to be brought on board. When such an internal event is followed by a highly critical but external event, such as the COVID-19 pandemic, the transformation gains momentum. The findings also suggest that social responsibility can be a new source of competitive advantage.

Open Access: Yes

DOI: 10.1002/csr.2775

Association of Production and Selected Dimensional Conformation Traits in Holstein Friesian Cows

Szabolcs Bene Gabriella Holló László Bognár Zsolt J. Kőrösi Ferenc Szabó

Publication Name: Animals

Publication Date: 2024-09-01

Volume: 14

Issue: 18

Page Range: Unknown

Description:

The objective of this study was to estimate the heritability of dairy production traits and that for dimensional traits and to calculate the correlation between the two heritability values in a Holstein Friesian cow herd bred in Hungary. Data of 15,032 Holstein Friesian cows born in the period 2008–2018 from 666 sires were collected for the study in 6 large dairy herds. Among the conformation traits, stature (ST), chest width (CW), body depth (BD), and rump width (RW), and for production traits, in the first lactation of cows, the 305-day milk yield (MY), milk butterfat yield (FY), and milk protein yield (MY) were evaluated. Heritability estimates of ST, CW, BD, and RW were 0.49, 0.25, 0.31, and 0.30, and those of MY, FY, and PY were 0.40, 0.35, and 0.30, respectively. BD and RW had no phenotypic (b = −0.01) or genetic (b = 0.00–0.01) change. The production traits (MY, FY, PY) increased to a greater extent (b = 2.2–43.3) than the examined conformation traits over time. Consequently, it is indicated that the selection for dairy production did not result in an increase in the studied dimensional traits.

Open Access: Yes

DOI: 10.3390/ani14182753

Plastic Limited Numerical Modelling on Contact Friction Effects of Steel–Concrete Connection for Composite Bridges

Oveys Ghodousian János Szép Marco Domaneschi Majid Movahedi Rad Raffaele Cucuzza Daniel Gosztola

Publication Name: Buildings

Publication Date: 2024-09-01

Volume: 14

Issue: 9

Page Range: Unknown

Description:

This research employs plastic limit analysis to examine load combinations, contact interactions, and friction effects on steel–concrete connections. A nonlinear finite element model was developed using ABAQUS 2021, incorporating the concrete damage plasticity model and contact friction interactions. The model’s validity was confirmed through laboratory experiments. Results indicate that contact elements and friction between the top flange, concrete slab, and studs significantly influence structural behavior. Unlike conventional push-out tests, real deck–slab connections exhibit different load-displacement responses due to the self-weight and additional loads, such as vehicular traffic. Under horizontal loading, extensive failures with large deformations along the studs occur, while vertically compressive loads lead to failures around the connections.

Open Access: Yes

DOI: 10.3390/buildings14092898