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Found 6374 publications

Integration of visual programming and artificial intelligence in robotics education: The pedagogical possibilities of the NAO robot

Eniko Nagy Andre Adin Kiss Gyorgy Molnar

Publication Name: Sisy 2025 IEEE 23rd International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 45-50

Description:

The article examines the educational opportunities offered by the integration of visual programming, artificial intelligence, and robotics for the development of 21st-century skills. It focuses on the use of the NAO humanoid robot, which creates a playful, experience-based learning environment for students. To overcome the difficulties of programming, visual block programming is increasingly being used, which encourages logical thinking and creativity in individuals. The article also presents a web application that allows students to program the NAO robot, while an artificial intelligence-based chat assistant provides real-time support. This integrated approach not only motivates students, but also offers a new perspective on digital pedagogy and personalized learning, which could be a big help in the future in terms of both educational technology and methodology.

Open Access: Yes

DOI: 10.1109/SISY67000.2025.11204876

Edge AI Benchmarking: Tools, Methodologies, and Optimization Strategies, a review

Sándor Répás Mustafa Abdulkadhim

Publication Name: International Conference on Electrical Computer and Energy Technologies Icecet 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Edge computing has emerged as an important paradigm to address the evolving demands of latency-sensitive applications and the adaptation of Internet of Things (IoT) devices, offering near edge data processing to increase performance, reduce bandwidth usage, and increase data privacy. However, benchmarking these heterogeneous edge environments remains a challenge due to their distributed nature and diverse hardware configurations. This paper proposes "Scalable Heterogeneous Edge Automation Benchmarking"(SHEAB), a novel containerized and automated framework designed to evaluate edge computing systems comprehensively. SHEAB integrates containerization for portability, automation for efficiency, and a multi-layered security architecture - including firewalls, VPNs, and secure shell connections - to ensure robust data integrity across varied edge servers. This research advances the field by providing a scalable, secure, and adaptable benchmarking solution, with future directions aimed at researching hardware capability assessments and increasing AI-driven edge-computing testing and benchmarking.

Open Access: Yes

DOI: 10.1109/ICECET63943.2025.11472323

Gifted Education in the Age of Mass Higher Education

Áron Fábián Márton Matyasovszky-Németh

Publication Name: Palgrave Critical University Studies

Publication Date: 2025-01-01

Volume: Part F4967

Issue: Unknown

Page Range: 85-103

Description:

In this chapter the authors discuss the impact of mass higher education’s expansion on soliciting talents and gifted students. Coining the term “gifted” education, they highlight the challenge of maintaining educational quality and inclusivity amid the rise of institutions with corporate orientations. The chapter argues for the importance of exclusive (elite) institutions designed for gifted education as a means to combat educational inequalities and enhance social mobility. Through a case study of Bibó István College in Budapest, Hungary, the authors demonstrate how such institutions can reconcile the need for academic excellence with democratic participation and social responsibility.

Open Access: Yes

DOI: 10.1007/978-3-031-93130-7_5

Intergenerational Interaction, Financial Well-Being, and Ageism in Kazakhstan During Covid Pandemic

Muyassar Kurbanova Eva Berde

Publication Name: Journal of Intergenerational Relationships

Publication Date: 2025-01-01

Volume: 23

Issue: 1

Page Range: 108-124

Description:

As the age of a population increases, different problems arise in a society, which inevitably leads to ageism. The introduction of extraordinary measures to protect the older adults during COVID-19 further exacerbated the complexity of ageism and led to worsened financial well-being for households. This study aims to determine the financial and other factors associated with different ageist attitudes. 286 respondents from Kazakhstan participated in the online study, and the hypotheses were analyzed using structural equation modeling. The results indicated a strong relationship between economic status and ageist behaviors. Moreover, COVID was positively associated with unfavorable ageist attitudes, whereas experience with older people reduces negative perceptions toward older people. Contribution: The results add new evidence to the intergenerational research that investigated ageism triggers. It suggests that financial well-being is one of the main components of negative ageist behavior, while it does not have an impact on positive one.

Open Access: Yes

DOI: 10.1080/15350770.2024.2306514

The structure–function relationships and techno-functions of β-conglycinin

Tolulope Joshua Ashaolu Babett Greff László Varga

Publication Name: Food Chemistry

Publication Date: 2025-01-01

Volume: 462

Issue: Unknown

Page Range: Unknown

Description:

β-conglycinin (β-CG) is a prominent storage protein belonging to the globulin family in soybean (Glycine max) seeds. Along with other soybean proteins, it serves as an important source of essential amino acids and high-quality nutrition. However, the digestibility and nutritional value of β-CG are key factors affecting the nutritional profile of soy-based foods. The heterotrimeric, secondary, and quaternary structures of β-CG, particularly the spatial arrangement of its α, α’, and β subunits, influence its functional properties. Considering these aspects, β-CG emerges as a significant protein with diverse applications in the food and health sectors. Therefore, this review explores β-CG's composition, structure, function, health implications, and industrial uses. Salient discussions are presented on its molecular structure, nutrition, digestibility, allergenicity, and techno-functions including emulsification, solubility, gelling, and structure–function complexities. Overall, the multifaceted potential of β-CG in the healthcare sector and the food industry is evident.

Open Access: Yes

DOI: 10.1016/j.foodchem.2024.140950

Microstructural Analysis of High-Strength Steel Post Gleeble Modelling

Lama Mkanna

Publication Name: Advanced Sciences and Technologies for Security Applications

Publication Date: 2025-01-01

Volume: Part F136

Issue: Unknown

Page Range: 433-443

Description:

High-strength steel alloys are widely used in critical engineering applications due to their exceptional mechanical properties. To ensure their reliability and performance under extreme conditions comprehensive understanding of their microstructural changes during testing and processing is crucial. This study investigates the microstructural evolution of high-strength steel samples subjected to Gleeble modelling, a thermomechanical simulation technique that replicates real-world conditions. The research was conducted on a series of high-strength steel specimens, where varying combinations temperature, strain rate, and applied stress were employed to simulate a range of operational scenarios. The microstructural analysis was carried out using advanced microscopy techniques, including optical microscopy, scanning electron microscopy (SEM). Our findings reveal intriguing insights into the dynamic changes occurring within the steel microstructure during Gleeble modelling. At elevated temperatures, grain growth was observed, affecting both the grainsize and distribution. The effect transformation and recrystallization were also examined. This research not only contributes to a deeper strain rate variations on phase comprehension of the microstructural alterations in high-strength steel during Gleeble modelling but also offers valuable information for the optimization of steel processing and heat treatment strategies. Such insights are paramount for engineers and metallurgists working in fields requiring high-strength steel. Such as aerospace, automotive, and structural engineering.

Open Access: Yes

DOI: 10.1007/978-3-031-78544-3_34

THE IMPACT OF TRANSPORT ROUTES ON KAZAKHSTAN’S AGRO-INDUSTRIAL COMPLEX CONSIDERING ESG APPROACHES

Laszlo Vasa Madina Rakhimberdinova Nurbakhyt Nurmukhametov Aliya Akhmet Elvira Nurekenova

Publication Name: Problems and Perspectives in Management

Publication Date: 2025-01-01

Volume: 23

Issue: 1

Page Range: 656-672

Description:

This study aims to investigate the relationship between environmental sustainability, social development, and governance within Kazakhstan’s agro-industrial complex. The paper applies econometric modeling and statistical analysis to assess these relationships and provide strategic recommendations for sustainable development. A dataset from 2013 to 2023, sourced from the Bureau of National Statistics of the Republic of Kazakhstan, was utilized to assess the influence of transit routes and agriculture on ESG performance. Principal component analysis (PCA) and regression modeling identified three key components – environmental (84.3%), social (98.4%), and governance (88.33%) – as significant contributors to ESG variability. The results demonstrate that transit flows positively affect environmental and governance indicators (β = 0.266, p = 0.050), while agro-industrial activity has mixed effects: improved social sustainability but increased environmental pressure. The combined impact of transit corridors and the agro-industrial complex provides a more comprehensive explanation of ESG variability (R2 = 0.998), reinforcing the need for integrated policy approaches. The findings highlight the strategic importance of aligning transit infrastructure and agro-industrial development with ESG frameworks. This paper contributes to the discourse on sustainable development by offering practical insights for policymakers on optimizing logistics and agricultural strategies to promote ESG adoption, particularly in agriculture-dependent economies.

Open Access: Yes

DOI: 10.21511/ppm.23(1).2025.49

Experimental study on the effect of filament-extrusion rate on the structural, mechanical and thermal properties of material extrusion 3D-printed polylactic acid (PLA) products

Imre Fekete László Lendvai Daniele Rigotti Alessandro Pegoretti

Publication Name: Progress in Additive Manufacturing

Publication Date: 2025-01-01

Volume: 10

Issue: 1

Page Range: 619-629

Description:

Material extrusion (MEX), also commonly referred to as fused deposition modeling (FDM) or fused filament fabrication (FFF) is currently one of the most commonly used additive manufacturing techniques. The quality of the 3D-printed objects fabricated by MEX methods highly relies on various printing parameters, one of which is the so-called filament extrusion multiplier (k). In this study, 3D-printed parts were prepared by MEX technique during which the material feeding rate was adjusted by varying the extrusion multiplier in the range of 97–105% (k = 0.97–1.05). The fabricated parts were tested for their geometrical, structural, mechanical, and thermal conductivity properties. Based on computed tomographic analysis and scanning electron microscopic images, increasing the k parameter resulted in smaller voids, along with gradually decreasing porosity (from 5.82 to 0.05%). Parallel to the decreasing defects, the thermal conductivity of the parts improved from 0.157 to 0.188 W/mK as determined by light-flash analysis technique. On the other hand, when k was set to ≥ 1.03 the geometrical accuracy declined, the size of the specimens considerably increased relative to the nominal values, especially in the X–Y directions due to excess material getting “squeezed” on the sides of the specimens. This latter phenomenon also resulted in the formation of a number of stress concentration sites, which manifested in the decrease of mechanical properties. Accordingly, the tensile, flexural, and impact strength of the samples improved up to k = 1.03; however, above that it dropped considerably.

Open Access: Yes

DOI: 10.1007/s40964-024-00646-5

Taxonomic contribution to knowledge of the oribatid mite genus Achipteria (Acari, Oribatida, Achipteriidae)

Sergey G. Ermilov Jenő Kontschán

Publication Name: International Journal of Acarology

Publication Date: 2025-01-01

Volume: 51

Issue: 2

Page Range: 81-87

Description:

The oribatid mite family Achipteriidae is recorded in the Dominican Republic for the first time. A new species of the genus Achipteria—A. (Izuachipteria) dominicanensissp. nov.—is described, based on adults collected from leaf litter in a mixed forest. The species is characterized by the morphology of the lamella (triangular distally, without strong lateral tooth), the location of the lamellar seta (on ventral side of the lamella), the length of the bothridial seta (long), the ornamentation and morphology of the pteromorph (partially striate, with lateral tooth), the number of the leg claws (one), and the absence of the notogastral saccules. The taxonomic status of the subgenera Achipteria (Cubachipteria), A. (Hokkachipteria), and A. (Izuachipteria) is discussed. An identification key, distribution, and habitat of the known representatives of Achipteria (Izuachipteria) are presented.

Open Access: Yes

DOI: 10.1080/01647954.2024.2439799