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Investigation of the Load-Bearing Capacity of Resin-Printed Components Under Different Printing Strategies

Szabolcs Fischer Szabolcs Szalai Brigitta Fruzsina Szívós Vivien Nemes

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-08-01

Volume: 15

Issue: 15

Page Range: Unknown

Description:

This study examines the influence of different printing orientations and infill settings on the strength and flexibility of components produced using resin-based 3D printing, particularly with masked stereolithography (MSLA). Using a common photopolymer resin and a widely available desktop MSLA printer, we produced and tested a series of samples with varying tilt angles and internal structures. To understand their mechanical behavior, we applied a custom bending test combined with high-precision deformation tracking through the GOM ARAMIS digital image correlation system. The results obtained clearly show that both the angle of printing and the density of the internal infill structure play a significant role in how much strain the printed parts can handle before breaking. Notably, a 75° orientation provided the best deformation performance, and infill rates between 60% and 90% offered a good balance between strength and material efficiency. These findings highlight how adjusting print settings can lead to stronger parts while also saving time and resources—an important consideration for practical applications in engineering, design, and manufacturing.

Open Access: Yes

DOI: 10.3390/app15158747

Perceived university support and environment as a factor of entrepreneurial intention: Evidence from Western Transdanubia Region

Tibor Dőry Makai Attila Lajos

Publication Name: Plos One

Publication Date: 2023-06-01

Volume: 18

Issue: 6 June

Page Range: Unknown

Description:

The exploration of entrepreneurship has become a priority for scientific research in recent years. Understanding this phenomenon is particularly important for the transformation of entrepreneurship into action, which is a key factor in early-stage entrepreneurial activity. This gains particular relevance in the university environment, where, in addition to the conventional teaching and research functions, the entrepreneurial university operation based on open innovation, as well as the enhancement of entrepreneurial attitudes of researchers and students, are receiving increased attention. This study is based on a survey conducted among students attending a Hungarian university of applied science in Western Transdanubia Region who have demonstrated their existing entrepreneurial commitment by joining a national startup training and incubation programme. The main research question of the study is to what extent student entrepreneurship intention is influenced by the environment of the entrepreneurial university ecosystem and the support services available at the university. A further question is whether these factors are able to mitigate the negative effects of internal cognitive and external barriers by enhancing entrepreneurial attitudes and perceived behavioural control. The relatively large number of students involved in the programme allows the data to be analysed using SEM modelling. The results indicate a strong covariance between the perceived university support and environment among students. Another observation is the distinct effect of these institutional factors on perceived behavioural control of students.

Open Access: Yes

DOI: 10.1371/journal.pone.0283850

Prediction of maize yield on saline soils using Sentinel-2 remote sensing data in the Shaulder irrigated area, Kazakhstan

Lóránt Dávid Zhangazy Moldamuratov Shakhislam Laiskhanov Zhassulan Smanov Omirzhan Taukebayev Zhanbolat Nurmagambetuly

Publication Name: Frontiers in Sustainable Food Systems

Publication Date: 2026-01-01

Volume: 10

Issue: Unknown

Page Range: Unknown

Description:

Soil salinization is a major factor limiting crop productivity in irrigated agricultural systems under arid climatic conditions. This study aims to develop an early prediction method for maize yield grown on saline soils in the Shaulder irrigated area located in the middle reaches of the Syr Darya River using Sentinel-2 satellite imagery. Field investigations were conducted during three phenological stages of maize development (spring, summer, and autumn) during the 2021 growing season. Soil salinity (electrical conductivity) was measured at 245 observation points in the 0–20, 20–50, and 50–100 cm soil layers, while maize biomass and yield were determined through field-based measurements. Linear regression analysis was used to evaluate relationships between spectral indices and field observations. Among the tested indices, NDVI, GNDVI, OSAVI, and SI7 showed the strongest relationships with soil salinity (R2 = 0.76–0.77), while NDVI demonstrated a strong correlation with maize biomass (R2 = 0.71–0.74). Time-series analysis of NDVI indicated that soil salinity delays maize development and shifts the timing of peak greenness. On non-saline soils, maximum NDVI occurred on 28 July, whereas on moderately and highly saline soils peak values were observed in early September. Based on peak NDVI values and field-measured yield data, a yield prediction algorithm was developed that enables maize yield forecasting approximately 2–2.5 months before harvest. Estimated yields exceeded 14.2 t/ha on non-saline soils, ranged from 6.8–14.2 t/ha on slightly saline soils, 3.2–6.8 t/ha on moderately saline soils, and 0–3.1 t/ha on highly saline soils. The proposed approach can support improved crop management and irrigation planning in saline agricultural landscapes.

Open Access: Yes

DOI: 10.3389/fsufs.2026.1775604

Development of High-Entropy Alloy Coating by Additive Technology

L. K. Varga B. Kocsis Gábor Gulyás

Publication Name: Frontiers in Materials

Publication Date: 2022-01-18

Volume: 8

Issue: Unknown

Page Range: Unknown

Description:

In this research study, various additively fabricated coatings and bulk 3D-printed parts were prepared, using the mechanical and corrosion-resistant properties of CrMnFeCoNi (Cantor alloy) and AlCrMnFeNi high-entropy alloys (HEAs). The coatings were applied to an EN 1.0038 carbon steel substrate using direct metal laser sintering. We attempted to optimize the 3D printing parameters of HEA alloys. The effect of volumetric energy density (VED) on the microstructure was investigated by scanning electron microscopy. We also examined the change of relative concentration of alloys in the direction of 3D printing (z-axis) as well as the volumetric failures (cracks and gaps). Standard salt spray tests were performed to test the corrosion resistance of various coatings after 3D printing. The use of both raw materials applied as thick films was successful; they retained their corrosion-resistant properties even with a change in their composition. Regarding the crystal structure, no difference was found between the base material and the material applied as a coating on the basis of X-ray diffraction investigations. Bulk HEA printing experiments need further optimization concerning their structural integrity and density in the case of the Cantor alloy. Bulk 3D printing experiments of the AlCrMnFeNi alloy did not yield satisfactory results because of the formation of dendritic microstructure and brittle BCC phase, and the residual internal stress resulted in part distortion and improper printing.

Open Access: Yes

DOI: 10.3389/fmats.2021.802076

Remarks to the topological characterization of cellular systems

Ibolya Zsoldos Tamás Réti

Publication Name: Journal of Geometry and Physics

Publication Date: 2011-08-01

Volume: 61

Issue: 8

Page Range: 1476-1478

Description:

In this note we discuss and solve an open problem (a conjecture) posed in a paper "On the combinatorial characterization of quasicrystals" published earlier in the Journal of Geometry and Physics. The conjecture proved is valid for the majority of space filling cellular systems (polycrystals, nanotubes, and fullerenes). © 2011 Elsevier B.V.

Open Access: Yes

DOI: 10.1016/j.geomphys.2011.03.016

Regulatory governance and AI innovation quality: A cross-country evaluation of technology, institutions, and ESG outcomes

Irum Shahzadi Wei Chen Meijie Yao Sabrine Mallek

Publication Name: Technological Forecasting and Social Change

Publication Date: 2026-09-01

Volume: 230

Issue: Unknown

Page Range: Unknown

Description:

This study examines how AI innovation quality shapes national ESG performance, including its governance dimensions, across 82 countries from 2000 to 2023. AI quality is measured as citation intensity per capita, reflecting scientific influence and technological sophistication validated in prior macro studies rather than patent volume, as citations better capture deployable impact for policy applications like regulatory compliance monitoring and transparent decision systems. Building on resource-resilient world theory, we assess direct AI effects and conditional interactions with financial institutions, globalization exposure, human capital, corruption, economic complexity, and clean-energy transitions using robust multi-model econometrics including IV-GMM to address endogeneity. The findings reveal advanced AI innovation quality significantly improves composite ESG performance, with stronger effects in developed economies where institutional capacity amplifies technological capabilities. AI citation intensity translates scientific breakthroughs into practical governance tools, enhancing regulatory transparency (G pillar), emissions tracking (E pillar), and social compliance (S pillar), though developing nations face implementation barriers. The findings imply that high-quality AI innovation serves as a critical technological shock absorber, enabling nations to enhance regulatory transparency and manage resources more resiliently against external shocks. However, the divergence between developed and developing nations suggests that technological sophistication must be paired with institutional reforms and human capital development to avoid value destruction. Ultimately, strategically governing AI innovation quality is essential for aligning global technological trajectories with long-term ESG performance and sustainable development goals.

Open Access: Yes

DOI: 10.1016/j.techfore.2026.124733

Optimization of Surface Preparation and Painting Processes for Railway and Automotive Steel Sheets

Szabolcs Fischer Szabolcs Szalai Mykola Sysyn Attila Németh Dmytro Kurhan Brigitta Fruzsina Szívós

Publication Name: Infrastructures

Publication Date: 2023-02-01

Volume: 8

Issue: 2

Page Range: Unknown

Description:

The article deals with DIC (Digital Image Correlation) tests on steel plates used in the automotive and railway industries, as well as in the construction industry. The most critical part of DIC tests is the quality of proper surface preparation, painting, and random patterns. The paint mediates the deformation of the optical systems, and its quality is paramount. The authors’ goal in this research is to determine the optimal dye–cleaning–drying time parameters for DIC studies. Commercially available surface preparation and cleaning agents were tested alongside commercially available spray paints. Standard and specific qualification procedures were applied for the measurements. Once the appropriate parameters were determined, the results were validated and qualified by GOM ARAMIS tests. Based on the results, DIC measurements can be performed with higher accuracy and safety in laboratorial and industrial conditions, compared to the traditional deformation measurements executed by dial gauges or linear variable differential transformers.

Open Access: Yes

DOI: 10.3390/infrastructures8020028

Maternal Entertainment–Related and Problematic Smartphone Use: The Moderating Roles of Loneliness and Maternal Intolerance of Child Distress

Aleksandar Vujić Marija Volarov Ljiljana Kardelis Attila Szabo

Publication Name: International Journal of Mental Health and Addiction

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Maternal problematic smartphone use (PSU) may unintentionally model such behaviors in children and disrupt the quality of mother–child interactions. Therefore, it is essential to examine factors that potentially contribute to PSU, such as entertainment-related smartphone use (ENT), loneliness, and mothers’ ability to tolerate their child’s distress (i.e., distress intolerance; DI). Using data from 1062 mothers of preschool-aged children, we tested whether loneliness and DI moderated the relationship between ENT and PSU. Results showed small but statistically significant moderation effects of DI (b = 0.046, p =.007) and loneliness (b = 0.083, p =.006), indicating that ENT was more strongly linked to PSU among mothers experiencing higher levels of DI and loneliness. Findings suggest that the use of smartphones for entertainment may more easily develop into PSU in mothers with elevated risk factors, such as DI and loneliness. However, given the small effect sizes and the single-item assessment of entertainment-related smartphone use, these findings should be interpreted with caution.

Open Access: Yes

DOI: 10.1007/s11469-026-01683-7

Modular code generation for creating IoT applications

Gábor Paller Gábor Élo

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper builds on an earlier work that aims to generate code for connected digital systems (IoT, Internet of Things). Orcc-IoT was the adaptation of the Orcc dataflow design environment and code generator to the IoT problem area. IoT systems are characterized by heterogeneity of both the software and hardware environments therefore code generators targeting them must be able to handle embedded, client and server enviroments too. The first version of Orcc-IoT provided simplistic code generators. The extensions presented in this paper add embedded and server-side modules and more specialized wireless communication options to test Orcc-IoT's modular architecture.

Open Access: Yes

DOI: 10.1109/ICECCME55909.2022.9987980