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Publications - 6374

Boundary interpolation vs boundary elements: Theory and some applications

Csaba Gáspár

Publication Name: International Series on Advances in Boundary Elements

Publication Date: 2004-10-11

Volume: 19

Issue: Unknown

Page Range: 143-152

Description:

Domain and boundary type meshless methods based on the Direct Multi-Elliptic Interpolation Method are presented. The approach is equivalent to a special RBF-method but completely avoids the solution of large, full and ill-conditioned systems, thus, the computational cost is significantly reduced. The method is illustrated through the example of the usual Poisson problem. Both Dirichlet and Neumann boundary conditions are investigated. The domain version of the method results in particular solutions, while the boundary version can be applied to solve homogeneous problems. Along Neumann boundaries, either off-boundary points can be introduced or a boundary reconstruction technique based on boundary interpolation can be applied. Some further possible applications are also outlined.

Open Access: Yes

DOI: DOI not available

A friction and wear study of laboratory aged engine oil in the presence of diesel fuel and oxymethylene ether

Ibolya Zsoldos András Lajos Nagy Jan Knaup

Publication Name: Tribology Materials Surfaces and Interfaces

Publication Date: 2019-01-02

Volume: 13

Issue: 1

Page Range: 20-30

Description:

Non-fossil fuels for the commercial and passenger vehicle sector are gaining more importance due to their positive effects on exhaust gas emissions. Ongoing research investigating a broad variety of biofuels, synthetic fuels and regenerative fuels shows that a reduction of CO 2 emissions can be possible without major modifications to the existing vehicle infrastructure. An internal combustion engine is a complex system of physical and chemical mechanisms, all of which contribute to the performance output, exhaust gas composition, durability and longevity of the engine. Modifying the fuel will not only result in differing chemical reactions and thermodynamic efficiency but will also affect friction and wear through the dilution and degradation of the lubricant. This study aims to investigate the variation of friction and wear in a model system due to the introduction of oxymethylene ether and regular diesel fuel to the lubricant. High-frequency reciprocating rig experiments will be carried out on 100Cr6 steel specimen with laboratory aged fully formulated commercially available SAE 0W-20 grade engine oil containing defined amounts of OME 3−5 and regular diesel fuel. The surface of the steel specimen will be analysed using optical microscopy and scanning electron microscopy.

Open Access: Yes

DOI: 10.1080/17515831.2018.1558026

Genetic variability of grapevine Pinot gris virus (GPGV) in an organically cultivated vineyard in Hungary

Tamás DEÁK Erzsébet SZATHMÁRY László Palkovics Réka Sáray Dóra Pinczés Asztéria Almási Katalin Salánki

Publication Name: Phytopathologia Mediterranea

Publication Date: 2024-01-01

Volume: 63

Issue: 2

Page Range: 179-190

Description:

Grapevine Pinot gris virus (GPGV) is a recently identified trichovirus infecting grapevines. Despite wide distribution, there is limited available information on epidemiology, transmission, and associated symptoms of grapevine leaf mottling and deformation. Occurrence and genetic diversity of GPGV variants were surveyed in an organically cultivated Hungarian vineyard that was planted between 1996 and 2014. Sequence analysis demonstrated the widespread presence and high variability of GPGV, and according to phylogenetic analyses, the Hungarian virus isolates were classified into three groups. Most of the identified variants clustered with the representative asymptomatic isolates, but all isolates from one grapevine cultivar grouped with representative isolates of clade B. Furthermore, one isolate clustered with representative isolates of clade C, and the identified clade C variant had previously undescribed polymorphisms.

Open Access: Yes

DOI: 10.36253/phyto-14492

The Development and Optimization of Machine Learning Models for Predicting the Shear Capacity of Corroded Reinforced Concrete Beams

Vipulkumar Ishvarbhai Patel Ahmed Hamoda Mizan Ahmed Sabry Fayed Saad A. Yehia Ramy I. Shahin Ardalan B. Hussein Qing Quan Liang

Publication Name: Buildings

Publication Date: 2026-05-01

Volume: 16

Issue: 10

Page Range: Unknown

Description:

The deterioration of steel reinforcement through corrosion triggers cracking and loss of concrete cover, ultimately weakening the structure’s strength and ductility. In practical design and assessment, it is vital to precisely quantify the shear capacity of corroded reinforced concrete beams (CRCBs). In this paper, machine learning (ML) models are developed to predict the shear capacity of CRCBs, including kernel ridge regression (KRR), K-nearest neighbors (KNN), decision trees (DT), random forest (RF), gradient-boosted regression trees (GBRT), and extreme gradient boosting (XGBoost). A total of 408 data entries on the shear strength of CRCBs under different corrosion conditions were collected to establish an extensive database. The reliability of the proposed ML models is examined by contrasting their outputs with the experimental data. The XGBoost model demonstrated superior predictive capability, achieving an R2 value of 0.994 and outperforming all other tested models, including RF, GBRT, and DT. The Shapley Additive Explanations (SHAP) algorithm is adopted to reveal the contribution of each input feature to the predicted shear capacity of CRCBs. The interpretive SHAP results show that the ultimate shear capacity of CRCBs is most influenced by beam depth (h), with the shear span-to-depth ratio (λ) and concrete compressive strength ((Formula presented.)) being the subsequent key contributors. A comparative assessment between the XGBoost model and traditional analytical models was carried out to estimate the shear strength of CRCBs. Results demonstrate that the XGBoost model delivers enhanced predictive accuracy and improved performance. A parametric investigation examined its robustness under variations in geometry and material properties, while a user-friendly interface was created to support its practical use.

Open Access: Yes

DOI: 10.3390/buildings16102037

Enhancing Water Productivity and Forage Yield of Egyptian Clover Through Subirrigation Controlled Drainage and Groundwater Utilisation

Tarek Alshaal Nevien Elhawat R. M. Khalifa Mahmoud M.A. Shabana Safwat Hussein Hatab Shimaa M. Elmahdy Mohamed Kh El-Ghannam

Publication Name: Agronomy

Publication Date: 2026-05-01

Volume: 16

Issue: 9

Page Range: Unknown

Description:

Water scarcity is a critical constraint to sustainable agricultural production in arid and semi-arid regions. This study evaluated the effectiveness of subirrigation controlled drainage (SCD) systems in improving water use efficiency, soil conditions, and productivity of Egyptian clover (Trifolium alexandrinum L.) over two consecutive growing seasons (2022–2024). Three drainage treatments were investigated: subirrigation controlled drainage with water table depths of 0.4 m (SCD-0.4) and 0.8 m (SCD-0.8), and conventional free drainage at 1.2 m (SFD-1.2). The results demonstrated that SCD significantly reduced irrigation water requirements, achieving water savings of up to 27% under SCD-0.4 compared with conventional drainage. The shallow water table enhanced groundwater contribution to crop evapotranspiration, reaching over 40%, which improved soil moisture availability and reduced soil water depletion. Consequently, SCD-0.4 increased fresh and dry biomass yields by approximately 18% and significantly improved water productivity and irrigation water productivity. However, controlled drainage led to increased soil salinity due to reduced leaching, particularly in upper soil layers. Economic analysis revealed that SCD-0.4 achieved the highest net returns and water use profitability. Overall, controlled drainage at shallow depths represents an effective strategy to enhance water productivity, crop yield, and economic efficiency, although long-term salinity management must be considered for sustainable implementation.

Open Access: Yes

DOI: 10.3390/agronomy16090937

Revolutionizing sugar beet yield and quality in saline sandy soil through synergistic humic acid, glauconite, and boron foliar application

Tarek Alshaal Nevien Elhawat Mohamed A.Abd El-Aziz R. M. Khalifa Amira E. El-Sherief Mahmoud M.A. Shabana Asmaa F.M. Badawy Ahmed K.H. Amer

Publication Name: Plant and Soil

Publication Date: 2026-05-01

Volume: 522

Issue: 2

Page Range: 1199-1230

Description:

Aims: Saline sandy soils severely constrain sugar beet (Beta vulgaris L.) productivity due to low nutrient retention, high salinity, and micronutrient imbalances, particularly boron deficiency. Although humic substances, glauconite, and boron fertilization have individually or pairwise improved crop performance, no previous field study has evaluated their ternary, dose-optimized integration as a multifunctional soil–plant management strategy under saline sandy conditions. Methods: This study investigated, for the first time, the combined application of soil-applied humic acid (600 kg/ha), glauconite (1100 kg/ha), and graded foliar boric acid (0, 1900, and 3800 g/ha) to test the hypothesis that their complementary physicochemical and physiological mechanisms would generate synergistic improvements in soil quality, crop performance, and sugar productivity beyond additive effects. Field experiments were conducted over two consecutive growing seasons (2021–2022) in West Minya, Egypt, using a split-plot design. Results: The integrated high-dose treatment (HG3800) significantly enhanced leaf area index (by 75%), chlorophyll content (46–71%), and net photosynthetic rate (40–128%) relative to the control. Root yield increased by 27% (reaching 56.7 ton/ha), while sugar yield rose by up to 79% (11.5 ton/ha). Sucrose concentration reached 20.4%, with reduced impurity indices and improved extractable sugar percentage (up to 90%). Based on fermentable sugar yield, the HG3800 treatment corresponded to a substantial increase in theoretical bioethanol output potential per hectare. Concurrently, soil electrical conductivity declined by 24%, soil organic matter increased, and bulk density decreased, reflecting improved soil structure and salinity mitigation. Conclusions: The ternary, dose-optimized integration of humic acid, glauconite, and foliar boron represents a novel agronomic strategy that simultaneously enhances soil physicochemical properties, physiological efficiency, and fermentable sugar production. By directly linking yield gains to increased bioethanol feedstock potential, this approach offers a scalable and multifunctional pathway for sustainable bioenergy-oriented sugar beet production in salt-affected sandy soils.

Open Access: Yes

DOI: 10.1007/s11104-026-08574-9

Some legal and social challenges of precision medicine in the age of "big genomic data"

Nogel Mónika

Publication Name: Informacios Tarsadalom

Publication Date: 2022-01-01

Volume: 22

Issue: 3

Page Range: 39-60

Description:

The purpose of this study is to describe the model of precision medicine and to analyze the challenges that this faces in the era of "big genomic data". The article discusses how it is possible to ensure the genetic data needs of precision medicine and what are the potential factors that hinder this goal.

Open Access: Yes

DOI: 10.22503/inftars.XXII.2022.3.3

Maxwhere 3D capabilities contributing to the enhanced efficiency of the trello 2D management software

Ildiko Horvath

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2019-01-01

Volume: 16

Issue: 6

Page Range: 55-71

Description:

This paper presents an experiment comparing the number of user operations and effectiveness of digital workflow in different cases. The main goal of this study is to systematically compare the effectiveness of Trello collaborative project management software in Windows 2D operating system and on the MaxWhere 3D VR platform. All comparisons are made based on a novel framework that focuses on both quantitative and qualitative assessments of user interactions required for the completion of digital projects within different computational environments. The results of the experiment, evaluated in terms of the proposed framework, point to the conclusion that when using Trello in conjunction with MaxWhere’s 3D VR spaces, users are able to accomplish the same digital workflows with 72% less elementary user operations, and with 80% less time spent on overview-related tasks. In the 3D experiment, the value of the Monitoring Density metric introduced in this paper increased almost 300-fold, from 125 to 3125. Based on these results, the paper concludes that the MaxWhere 3D VR platform offers project managers a number of ways to accomplish tasks that would otherwise require extremely complicated digital workflows in more traditional 2D environments.

Open Access: Yes

DOI: 10.12700/APH.16.6.2019.6.5

Overview on the Sustainable and Responsible Educational Technology Efforts Using Artificial Intelligence for the Workers of the Future

Márta Konczos Szombathelyi Viktória Kövecses-Gősi Zita Kaszalik Viktória Gősi Kövecses

Publication Name: Journal of Sustainability Research

Publication Date: 2025-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

The purpose of the research is to review how artificial intelligence is integrated into the education of employees, emphasizing that the rapid application of artificial intelligence significantly affects the development of the workforce and the achievement of sustainability goals. The European Commission also continuously monitors changes in the field of digitization and artificial intelligence. Among other things, the European Union uses ESG (environmental, social, governance) aspects to measure sustainability performance, relying on domestic and international literature to reveal how education, investments and international cooperation can lead to social development and market competitiveness. As a research method, we use the analysis of annual reports, training and conference reports, company websites, and databases on corporate ESG commitment, employee development, and digitalization. Based on the decision of the European Commission, the continuous and rapid progress of the development of digitization and artificial intelligence is an issue to be monitored with reporting obligations. Analyzes of ESG reports help to understand the sustainability practices and environmental effects of a given organization, help to reveal social responsibility, interpret the company's long-term value creation potential and risks, measure and compare the sustainability performance of different companies and organizations. Analyzing ESG reports is key to promoting transparency and responsible business practices. Based on the developments, in addition to the economic results, the realization of the sustainability goals is becoming more and more tangible in the context of the ESG framework, the investigation of digitalization and artificial intelligence, as well as the labor market and education.

Open Access: Yes

DOI: 10.20900/jsr20250039