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Found 6383 publications

Contact problems in GaAs-based solar cells

Ákos Nemcsics Antal Ürmös Zoltán Farkas László Dobos Szilvia Nagy

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2018-01-01

Volume: 15

Issue: 6

Page Range: 99-124

Description:

The present work deals with contact problems of GaAs-based solar cells. In the introduction the most basic GaAs-based solar cell structures are introduced. Then, the energy and electronic properties are investigated. In the third part of this publication, the technological aspects of the metallization are discussed. Here the surface patterns are investigated, that are formed at the surface of the Au/GaAs and Au/TiN/GaAs material systems, as the effect of the annealing process. The further aim of these investigations to investigate, how the properties of ohmic contact depends on the properties of the material system. If these relations are known, the relationships between different morphologies and their electric qualities will be also known.

Open Access: Yes

DOI: 10.12700/APH.15.6.2018.6.6

What do we learn from Nexus between trade diversification and structural change: informing the future about climate action and Sustainability

Irum Shahzadi Gagan Deep Sharma Diogo Ferraz Buhari Doğan Amar Rao Irum Shahzadi

Publication Name: Environmental Science and Pollution Research

Publication Date: 2023-08-01

Volume: 30

Issue: 40

Page Range: 92162-92181

Description:

Economic complexity is considered key a driver of social change, structural change, and economic development. Economic complexity is mostly used to capture issues apropos product diversification of exports, trade, technological innovation, human knowledge, and skills. The current study has conducted a detailed bibliometric review of economic complexity, export quality, and trade diversification. In doing so, the authors used the literature up to 2021 to unveil economic complexity’s contextual information that witnessed structural change, social change, and trade indicators. The current study is the first integrative review to report the theoretical contribution, future research agendas, and thematic analysis of economic complexity, export quality, and export diversification. Our study, on the subject of economic complexity, export diversification, and import diversification in the period from 1966 to 2021, was carried out by systematically scanning 386 documents, and it is one of the pioneering studies in this field. In addition, economic diversity, development, and economic complexity; export diversification, import diversification, trade openness, and economic growth; energy, environmental Kuznets curve, and economic complexity; and sustainability and economic diversification are the four main research topics of the study. The findings are discussed apropos of economic complexity and exports, methodological aspects of economic complexity, and environmental issues nexus with economic complexity. The current study reports novel findings toward a path for achieving SDG-9 (industry and innovation) and SDG-13 (climate action). The biometric review enables researchers and policymakers to understand export quality, economic complexity, and the trade nexus and report future research directions for achieving sustainable growth in industries and innovation.

Open Access: Yes

DOI: 10.1007/s11356-023-28770-9

First Report of Coniella granati Causing Leaf Spot of Pomegranate (Punica granatum) in Hungary

M. Petróczy László Palkovics A. Tóth L. Szendrei P. Salamon

Publication Name: Plant Disease

Publication Date: 2022-11-01

Volume: 106

Issue: 11

Page Range: 2995

Description:

No description provided

Open Access: Yes

DOI: 10.1094/PDIS-10-21-2230-PDN

Evolution of teaching roles and tasks in VR / AR-based education

Ildiko Horvath

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 355-360

Description:

In recent years the strong potential behind VR and AR technologies in supporting education has become increasingly clear. From an educational perspective, an important benefit brought about by such technologies is that they lead to a teaching environment that is first and foremost learner centered. This encourages the application of innovative educational methods and introduces new modes of teaching into the learning experience. However, all of this makes it necessary for teachers to spend more time preparing for their classes, as well as growing acquainted with the latest technologies - in short, it is a process that requires improved digital literacy on the teachers' part.This paper presents an experiment contrasting traditional 2D interfaces and the MaxWhere 3D VR educational platform in order to shed light on how these technologies influence the effectiveness of various operations and workflows constituting teachers' tasks. In the experiment, the same workflow is compared when executed using e-mail attachments, a classical 2D e-learning platform and MaxWhere's 3D platform.The results of the experiment, evaluated in terms of a newly proposed (and clearly motivated) framework, point to the conclusion that when using MaxWhere instead of traditional 2D interfaces, teachers, lecturers and trainers are able to accomplish the same digital workflows with 37-64% less user operations, and up to 72% less machine operations. Based on these results, the paper concludes that MaxWhere as an educational platform offers users - not only students, but the lecturers, teachers and trainers too- a number of ways to accomplish tasks that would otherwise require extremely complicated digital workflows in more traditional 2D environments.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639907

Testing Stress Defects in 3D-printed Metal Parts with an Optical Scanner for Automotive Applications

Zoltán Weltsch István Hatos Valentin Szabó

Publication Name: International Journal of Automotive Science and Technology

Publication Date: 2025-12-17

Volume: 9

Issue: 1st Future of Vehicles Conf.

Page Range: 47-51

Description:

Additive manufacturing is becoming increasingly popular in motorsports and the world of limited edition supercars, as it can be used to produce parts with an excellent strength-to-weight ratio. 3D metal printing is one of the newest and fastest-growing branches of additive manufacturing technologies. One of the biggest challenges of this technology is the formation of residual stresses, especially in the case of direct metal laser sintering (DMLS). These internal stresses often cause deformations and warping, especially when the parts are removed from the base plate. In this study, we examined a twin cantilever geometry using an optical scanner. The optical scanner allows for high-precision examination of the entire surface, so we can evaluate the entire piece based on millions of points rather than just a few points. This allows us to evaluate the test piece more accurately. This also allows us to evaluate areas that cannot be analyzed using traditional point-based testing. We demonstrate the advantages of digital point-based measurement technology, which not only focuses on the accurate measurement of changes, but also compares the differences between the changes in multiple components, providing further evaluation possibilities. The study confirms the advantages of optical measurement technology in complex deformation tests and demonstrates the in-depth analysis possibilities offered by detailed surface scanning.

Open Access: Yes

DOI: 10.30939/ijastech..1767023

Preface

Maria Raffai Josef Basl Antonin Pavlicek Petr Doucek Katrin Detter A. Min Tjoa

Publication Name: Lecture Notes in Business Information Processing

Publication Date: 2019-01-01

Volume: 375 LNBIP

Issue: Unknown

Page Range: v

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Quantitative analysis of green investments in European automotive companies: a digital reporting analysis

Eszter Lukács Árpád Tóth Alex Suta Ferenc Szauter

Publication Name: Clean Technologies and Environmental Policy

Publication Date: 2025-12-01

Volume: 27

Issue: 12

Page Range: 8749-8761

Description:

Automotive companies are a major driver of the economy due to their high production volumes and extensive supply networks. However, the shift towards focusing on Environmental, Social, and Governance (ESG) aspects to comply with regulatory constraints and meet shareholder expectations presents significant challenges. This study addresses the need for transparency in green investments and their impact on CO2 emissions within the automotive sector. To achieve this, a sample of 22 listed European automotive companies were selected based on their digital financial reports (XBRL), as well as their annual sustainability reports. Key variables, including Scope 1, Scope 2, and Scope 3 emissions, were evaluated alongside three categories of corporate investments: tangible, intangible, and other long-term assets. A robust Analysis of Covariance (ANCOVA) model was employed to quantify the relationship between these investment activities and emissions. The results indicate a significant interaction effect on Scope 1 emissions, while the effects on Scope 2 emissions were not significant and Scope 3 emissions showed marginal results. These findings suggest that companies disclose green investments to mitigate reputational risks, offering insights into the relationship between financial and sustainability metrics in ESG reporting, while highlighting the importance of transparent reporting for achieving sustainability goals and enhancing comparability among companies.

Open Access: Yes

DOI: 10.1007/s10098-024-03052-1

Experiential learning and governance in the socio-technical era: Modeling responsible AI performance via explainability and adaptability

Varun Chotia Intesar Almugren Attila Kurucz Nidhi Sahore Ming Liu

Publication Name: Technological Forecasting and Social Change

Publication Date: 2026-06-01

Volume: 227

Issue: Unknown

Page Range: Unknown

Description:

The concept of artificial intelligence (AI) is altering the way organizations operate. AI systems will deliver more intelligent results in a shorter period of time, starting with decision-making up to innovation. However, the more it is adopted, the more issues to do with fairness, transparency, and accountability are raised. Most organizations are finding it difficult to reconcile innovation and ethical responsibility. This study discusses the role of internal capabilities in making firms govern AI responsibly. The study proposes a model linking four key organizational capabilities, i.e., explainable AI capability, contextual learning adaptability, experiential learning orientation, and organizational ethical alignment to responsible AI performance. The impact of these capabilities on user interpretability and trust, responsible AI governance maturity, and decision transparency is also examined in this study. The results show that explainable AI capability and learning adaptability enhance user trust, while experiential learning orientation and organizational ethical alignment significantly improve governance maturity. Governance maturity and decision transparency lead to stronger responsible AI performance. Interestingly, not all expected paths held as user interpretability trust and governance maturity did not directly predict decision transparency. The findings show that building technical and cultural capabilities inside firms is essential not just to deploy AI effectively, but to do it responsibly. For leaders, this means moving beyond checklists and toward meaningful governance rooted in learning, transparency, and ethical alignment.

Open Access: Yes

DOI: 10.1016/j.techfore.2026.124624

Assessing the requirements of urban traffic calming within the framework of sustainable urban mobility planning

Mattias Juhász

Publication Name: Pollack Periodica

Publication Date: 2014-12-01

Volume: 9

Issue: 3

Page Range: 3-14

Description:

Road traffic calming measures have been gradually spreading in cities since the 1960s. Therefore - in line with a sustainable transport planning approach - the revision and redistribution of urban transport and public surfaces have also come into the spotlight. In this context several traffic calming methods and techniques have evolved from point-based to area-wide interventions. Their positive effects on traffic safety and the environment are indisputable. However, there are serious requirements concerning the application of these instruments, which need to be taken into account to prevent or minimize undesirable side-effects. Despite technical aspects and conditions that are well-known from the international literature, strategic aspects (economic effects and system-level prerequisites of traffic calming) are relatively ambiguous. The aim of this paper is to review the possible measures of road traffic calming, to demonstrate the effect-mechanism and to explore the way towards a consistent policy assessment framework, which can provide information on the strategic requirements of application.

Open Access: Yes

DOI: 10.1556/Pollack.9.2014.3.1