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Publications - 6289

Half-magnitude extensions of resolution and field of view in digital holography by scanning and magnification

Lotfi Abdelhakim Attila Tibor Nagy István Harmati Béla Ráczkevi György Molnar Dezsö Szigethy Attila Nagy G. Y. Molnarka Venczel Borbély Ferenc Gyímesi Aladar Czitrovszky Zoltán Füzessy

Publication Name: Applied Optics

Publication Date: 2009-11-01

Volume: 48

Issue: 31

Page Range: 6026-6034

Description:

Digital holography replaces the permanent recording material of analog holography with an electronic light sensitive matrix detector, but besides the many unique advantages, this brings serious limitations with it as well. The limited resolution of matrix detectors restricts the field of view, and their limited size restricts the resolution in the reconstructed holographic image. Scanning the larger aerial hologram (the interference light field of the object and reference waves in the hologram plane) with the small matrix detector or using magnification for the coarse matrix detector at the readout of the fine-structured aerial hologram, these are straightforward solutions but have been exploited only partially until now. We have systematically applied both of these approaches and have driven them to their present extremes, over half a magnitude in extensions. © 2009 Optical Society of America.

Open Access: Yes

DOI: 10.1364/AO.48.006026

Adapted queueing algorithms for process chains

Peter Foldesi András Rövid Ágnes Bogárdi-Mészöly

Publication Name: Smart Innovation Systems and Technologies

Publication Date: 2011-12-01

Volume: 10 SIST

Issue: Unknown

Page Range: 65-73

Description:

Process chains are a common modeling paradigm for analysis and optimization of logistic processes, and are intensively used in many practical applications. The ProC/B toolset is a collection of software tools for modeling, analysis, validation and optimization of process chains. The ProC/B models can be translated into queueing networks or Petri nets, which can be solved by effective techniques and algorithms to evaluate performance metrics. The base queueing model with Mean-Value Analysis evaluation algorithm, and their adaptations for modeling thread pool and queue limit have been verified and validated for multi-tier software systems. The goal of our work is to adapt these models and algorithms for process chains to model parallel processes and queue limit. © 2011 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-642-22194-1_7

Quantitative comparison of some faecal bacterial communities in groups of Mangalica and commercial pigs

Károly Tempfli László Pongrácz Klaudia Szalai Sárvári Loretta Csilla Emil Balázs Herceg Ágnes Bali Papp

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

Different housing technology, breed, age and nutrition can contribute to changes in the composition of microbial communities in pigs. Faecal samples from groups of Mangalica and commercial pigs were collected and analysed by qPCR in order to identify changes and differences regarding the quantity of total faecal bacteria, Prevotella genus, Lactobacillus spp., Bifidobacterium spp., Enterococcus spp. and the family Enterobacteriaceae. In both Mangalica and commercial pig samples, quantities of total faecal bacteria increased from weaner pigs to lactating sows. The relative quantity of total bacteria was larger (p<0.05) in Mangalica growers and lactating sows compared to commercial pigs. The ratio of Prevotella genus in total bacteria was higher (p<0.05) in Mangalica growers and lower in Mangalica lactating sows compared to respective commercial groups. The ratio of Lactobacillus spp. was largest (p<0.05) in samples of Mangalica boars, whereas ratios of Bifidobacterium spp. were greater (p<0.05) in Mangalica weaners, growers, and boars. Faecal samples of Mangalica growers contained a higher ratio of Enterobacteriaceae in total bacteria, whereas Enterococcus spp. was more prevalent in commercial weaner pigs and boars (p<0.05). Considerable changes in faecal bacteria communities were observed in association with different age and utilization.

Open Access: Yes

DOI: 10.1051/bioconf/202412503005

Biomechanical effects of maximal footwear on running: a systematic review and network meta-analysis

Yaodong Gu Gusztáv Fekete Minjun Liang Zixiang Gao Wenlong Li Chen Hu Zifan Xia

Publication Name: Footwear Science

Publication Date: 2026-01-01

Volume: 18

Issue: 1

Page Range: 83-98

Description:

Running is widely recognised for its substantial health benefits; however, it is frequently associated with lower limb injuries caused by repetitive impact forces. To mitigate such injuries, maximal footwear has been developed; nevertheless, evidence comparing its biomechanical effects with those of other footwear types remains inconclusive. A Bayesian network meta-analysis of 14 studies (222 participants) was conducted, based on systematic searches of PubMed, Web of Science, the Cochrane Library, Scopus, and Embase (from inception to 12 November 2024). Multiple biomechanical parameters were evaluated, including vertical average loading rate, vertical instantaneous loading rate, impact peak, active peak and ankle peak eversion. The results revealed a complex and sometimes contradictory biomechanical profile for maximal footwear. Specifically, maximal footwear resulted in a significantly higher impact peak compared to both conventional and minimal footwear. In contrast, for the vertical average loading rate, it performed significantly better than minimal footwear but showed no significant difference compared to conventional footwear. For other impact metrics, no significant differences were observed. Notably, maximal footwear was associated with a significantly lower ankle peak eversion compared to minimal footwear, suggesting a potential for greater control of ankle motion.

Open Access: Yes

DOI: 10.1080/19424280.2025.2604840

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

Marta Konczosne 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

Holistic Approach to Smart Factory

Cristina Rosaria Monsone

Publication Name: IFIP Advances in Information and Communication Technology

Publication Date: 2021-01-01

Volume: 614

Issue: Unknown

Page Range: 160-176

Description:

This article presents the key elements of the digitalization of a system, industrial and non, providing a new holistic formulation for Industry 4.0, I4.0, and a concept base of a new API system in the field of Digital Twin for industrial integrated smart solutions based on Internet of Think, IoT, devices. The general approach is also considered for “traditional” industries which come to be I4.0 and as a suitable element for virtual training and decision-making system for industrial e non -industrial customers in a vision of future application in a Virtual reality, VR, environment. In particular, this research defines a formula - CMon - representative of the digitalization of any system and the realization of an API, DTNet, able to create in real- time a Digital Twin, DT, of a single object from a video, realized through any device, using Deep Learning Techniques and then integrate it in a VR environment for a more accurate predictive analysis.

Open Access: Yes

DOI: 10.1007/978-3-030-80847-1_11

Checking the accuracy of siitperf

Gábor Lencse

Publication Name: Infocommunications Journal

Publication Date: 2021-01-01

Volume: 13

Issue: 2

Page Range: 2-9

Description:

Siitperf is the world’s first free software RFC 8219 compliant SIIT (Stateless IP/ICMP Translation, also called as Stateless NAT64) tester, which implements throughput, frame loss rate, latency and packet delay variation tests. In this paper, we show that the reliability of its results mainly depends on the accuracy of the timing of its frame sender algorithm. We also investigate the effect of Ethernet flow control on the measurement results. Siitperf is calibrated by the comparison of its results with that of a commercial network performance tester, when both of them are used for determining the throughput of the IPv4 routing of the Linux kernel.

Open Access: Yes

DOI: 10.36244/ICJ.2021.2.1

Young Adults’ Feelings and Knowledge of Climate Anxiety

Ferenc Bakó András Szeberényi

Publication Name: Journal of Sustainability Research

Publication Date: 2025-06-01

Volume: 7

Issue: 2

Page Range: Unknown

Description:

This study investigates the impact of climate anxiety on young adults’ consumer and social behaviour. Data were collected via a questionnaire survey among 696 university students from Széchenyi István University, Budapest Metropolitan University, and Neumann János University. The survey focused on various aspects of climate anxiety, including its frequency, intensity, perceived life impact, emotional responses, and management strategies. The analysis, supported by AI tools, identified two distinct clusters: one with moderate anxiety levels and a strong interest in learning about climate change, and another with higher anxiety levels but less desire for further information. Various statistical models, including Naive Bayes, logistic regression, and random forests, were employed to identify behavioural patterns, with decision trees showing the lowest classification error. The study highlights the significant influence of climate anxiety on the shift towards sustainable consumption and active engagement in climate action. Recommendations for future research include the broader application of deep learning models and extending the study to other demographic groups. Longitudinal data collection is also suggested to track long-term trends and inform effective public policy and communication strategies. The findings emphasise the need for comprehensive approaches to understanding and addressing climate anxiety’s societal impacts.

Open Access: Yes

DOI: 10.20900/jsr20250025

Effects of environmental and management factors on species and trait composition in arable weed communities

Gyula Pinke

Publication Name: Botanikai Kozlemenyek

Publication Date: 2016-01-01

Volume: 103

Issue: 2

Page Range: 249-262

Description:

One of the exciting topics of weed science is to identify the most important ecological and management variables influencing the composition of arable weed communities. This paper reviews the findings of relevant publications from the last 15 years. According to floristic approaches six ecological (altitude, sea-sonality, temperature, precipitation, soil pH, soil texture) and three management variables (crop, preceding crop, degree of intensification) were most often identi-fied as the most important factors determining the species composition of arable weed communities. It can be concluded that there is a general positive correlation between the length of a gradient and its importance. According to functional approaches the most frequent correlations were found between the plant traits of stature, seed size, seed production, germination time, flowering period, life form and some specific variables.

Open Access: Yes

DOI: 10.17716/BotKozlem.2016.103.2.249