Search in Publications

Found 6383 publications

A review of elasto-plastic shakedown analysis with limited plastic deformations and displacements

Majid Movahedi Rad

Publication Name: Periodica Polytechnica Civil Engineering

Publication Date: 2018-05-22

Volume: 62

Issue: 3

Page Range: Unknown

Description:

In classical plasticity the shakedown analysis is among the most important basic problems. The principles of shakedown analysis are counterparts to those of limit analysis in the sense that they provide static and kinematic approaches to the question of whether or not shakedown will occur for a body under multiple variable loading conditions. The principles of limit analysis provide static and kinematic approaches to the question of whether or not the plastic limit state will be reached by a body under proportional loading. The principles of shakedown analysis are, however, considerably more difficult to apply than those of limit analysis. In spite of these difficulties, shakedown analysis is a vital and developing topic in plasticity and a great number of applications have been made. At the application of the plastic analysis and design methods the control of the plastic behaviour of the structures is an important requirement. Since the shakedown analysis provide no information about the magnitude of the plastic deformations and residual displacements accumulated before the adaptation of the structure, therefore for their determination bounding theorems and approximate methods have been proposed.

Open Access: Yes

DOI: 10.3311/PPci.11696

Editorial

Aaron Gazley László Józsa Kim Shyan Fam

Publication Name: International Review of Retail Distribution and Consumer Research

Publication Date: 2012-07-01

Volume: 22

Issue: 3

Page Range: 241-242

Description:

No description provided

Open Access: Yes

DOI: 10.1080/09593969.2012.683326

Sustainable and Innovative Cross-Border Regional Development with Focus on Tourism in the Danube Basin—A Case-Study of Szigetköz and Csallóköz (Žitný Ostrov)

Dávid Fekete Petra Kinga Kézai Mihály Dömötör

Publication Name: Sustainability Switzerland

Publication Date: 2022-06-01

Volume: 14

Issue: 12

Page Range: Unknown

Description:

The current paper aims to analyze the Hungarian–Slovakian cross-border area (Szigetköz, Csallóköz) and unearth the region’s latent economic development potential. The study area with its unique natural environment has recently aroused the interest of many fields. Szigetköz is a fresh spot in the agglomeration of two large cities: Győr and Mosonmagyaróvár. What could be the economic bases and social factors that can awaken the area from its sleeping rose dream? Along with this issue, we explore socio-economic development opportunities. The exploratory research is based on content analysis of strategic documents and in-depth interviews with the settlement’s mayors. The results show that, although the overwhelming majority of settlements have a more moderate population loss and an abundance of economic opportunities relative to other Hungarian settle-ments, there are several gaps and negative processes that operate beneath the surface.

Open Access: Yes

DOI: 10.3390/su14127037

Transferring and scaling innovation in urban green-blue Infrastructure: beyond one-size-fits-all solutions and preconceptions

Eva Semančíková Viktar Kireyeŭ Anton Shkaruba Marcin Spyra Hanna Skryhan Viktar Kireyeŭ Mária Bihuňová Justyna Rubaszek Nadiya Maksymenko Jóna László László Jóna Tereza Rumanová Kalev Sepp

Publication Name: Sustainable Futures

Publication Date: 2026-06-01

Volume: 11

Issue: Unknown

Page Range: Unknown

Description:

Green and Blue Infrastructure (GBI) innovations are increasingly promoted in Europe, yet their transfer to new socio-political contexts remains poorly understood. This study applies the Strategic Niche Management (SNM) framework to analyse the conditions under which GBI innovations can be replicated and scaled beyond their original settings. We examine six GBI projects from five EU Member States and assess their perceived transferability through three expert workshops in Belarus, Russia and Ukraine. Using a comparative qualitative design, workshop transcripts were analysed to identify how actors interpret innovation, allocate responsibilities, and negotiate risks within their socio-technical regimes. Across cases, successful transfer depended on leadership by municipal actors, a supportive knowledge base, flexible regulatory arrangements, and targeted communication that strengthens public acceptance. Major constraints included entrenched “business-as-usual’’ routines in administrative and epistemic communities, misconceptions about the costs and maintenance of GBI, weak participatory traditions, and corruption risks. The findings demonstrate that GBI diffusion is highly context-dependent: local actors may be unexpectedly supportive of nature-based solutions, while bottom-up initiatives can serve as viable entry points even within hierarchical governance systems. The study contributes empirical insights from an under-researched region and illustrates how SNM can be operationalised to guide GBI innovation transfer and regime change.

Open Access: Yes

DOI: 10.1016/j.sftr.2025.101619

Analyzing the ORFV virus proteome through rational development of a multiepitope subunit vaccine using the molecular docking and reverse vaccinology approach

Y. Waheed Taghreed N. Almanaa Faisal Ahmad Sajjad Ahmad Hassan Ayaz Sana Naeem Mehreen Riaz

Publication Name: Journal of Molecular Liquids

Publication Date: 2026-04-01

Volume: 447

Issue: Unknown

Page Range: Unknown

Description:

ORFV, also known as Ecthyma contagiosum, in humans is the Orf virus (ORFV), which mostly infects various wild and domesticated animals. A highly contagious zoonotic viral infection is a major concern to everyone who works with sheep and goats. According to taxonomy, ORFV belongs to the genus Parapoxvirus. People encounter animals, their exposed skin areas usually develop sores. Even though the quantity of infected individuals and appearances are thought to be less dangerous, the pathogenic virus's high fatality rate is still a serious concern. Vaccine construct There is currently no approved vaccine to lessen the epidemiological and clinical burden of this highly contagious illness. Thus, the target proteins of ORFV are used in our current investigation to design and formulate a multi-epitope vaccination using immunoinformatic approaches. Potential T-cell and B-cell epitopes from the two pathogenic proteins of ORFV were tested using selection criteria. The chosen epitopes were then put together using the appropriate adjuvants and linkers. MHC cluster analysis and population coverage of the chosen epitopes were both satisfactory. To maintain the tertiary or quaternary relationships, we used disulfide bonding engineering. Additionally, normal-mode analysis was used to investigate the vaccine protein stability and kinematics. The immunological simulation research of vaccine complexes also yielded substantial findings. Furthermore, the molecular docking demonstrated a greater affinity of −265.85 kcal/mol for toll-like receptor-4 (TLR4). Molecular dynamics simulations resulted in the stability of the complex system with (mean RMSD: 7.7 Å; Rg: 18.6 Å), exhibiting localized flexibility at certain residues. Calculations of binding free energy (ΔG = −456.67 kcal/mol, GBSA; −469.56 kcal/mol, PBSA) indicated highly favorable and spontaneous interactions facilitated by electrostatic and van der Waals forces. Herein, our research findings revealed that the vaccine designs may modulate encouraging immune responses against the pathophysiology of ORFV. Therefore, it can generate a baseline pipeline for the experimentalist for in vivo and in vitro investigations.

Open Access: Yes

DOI: 10.1016/j.molliq.2026.129309

Quantitative and qualitative indicators of neonatological care at the Maternity Private Obstetric and Gynecologic Hospital in 2023

Balázs Gérecz Lajos Lantos Mária Madarász Dorottya Rózsa Gizella Molnár Krisztina Szőllős Eszter Vörös Zorán Belics Petronella Hupuczi

Publication Name: Orvosi Hetilap

Publication Date: 2025-04-27

Volume: 166

Issue: 17

Page Range: 658-668

Description:

No description provided

Open Access: Yes

DOI: 10.1556/650.2025.33284

Preface

Marcel C. Minutolo Vikas Sharma Attila Kurucz Ewelina Idziak

Publication Name: World Sustainability Series

Publication Date: 2026-01-01

Volume: Part F1959

Issue: Unknown

Page Range: vii

Description:

No description provided

Open Access: Yes

DOI: DOI not available

The role of generative AI in improving the sustainability and efficiency of HR recruitment process

Boglárka Eisingerné Balassa Dániel Csikor Réka Koteczki

Publication Name: Discover Sustainability

Publication Date: 2025-12-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

Generative artificial intelligence (GAI) is becoming increasingly important in business processes, including human resource management. GAI can offer the potential to automate repetitive tasks in recruitment processes, optimise decision making, and reduce administrative burdens. Although AI can help increase operational efficiency, environmental pressures must also be taken into account. AI models require significant computing power, resulting in high energy consumption and increased CO2 emissions. This dichotomy may raise the question of whether the efficiency gains provided by GAI outweigh the environmental burden. This article examines the environmental impacts of GAI on HRM through a case study. The research combines qualitative and quantitative methods: expert interviews are used to explore practical applications, while calculations on energy consumption, costs, and emissions are carried out by comparing traditional and AI-based recruitment methods. The results of the case study showed that the integration of GAI led to efficiency gains. The time required for the recruitment process was reduced by 13.25 h, which could save thousands of man-hours per year. At the same time, costs and energy consumption and associated carbon emissions were reduced. The study highlights the duality of “AI for sustainability” and “sustainability of AI”, highlighting that while GAI can contribute to more sustainable corporate operations, its own environmental footprint raises questions about long-term sustainability. The results will provide HR professionals, decision makers, and organisations with practical insights into the potential for sustainable use of AI.

Open Access: Yes

DOI: 10.1007/s43621-025-01484-3

Approximation of force and energy in vehicle crash using LPV type description

Istvan A. Harmati András Rövid Peter Varlaki

Publication Name: Wseas Transactions on Systems

Publication Date: 2010-07-01

Volume: 9

Issue: 7

Page Range: 734-743

Description:

In accident analysis, vehicle crash mechanics and vehicle safety research modeling of the deformational force and absorbed energy plays a crucial role. The usually applied FEM based methods give good approximations, but they have extremely large computational complexity and require a detailed knowledge about the parameteres of the crash and the vehicle. There are simpler models, but they not give satisfactory approximation. In this paper using the LPV-HOSVD paradigm we introduce a model for vehicle deformation process, which well approximates the deformation force and the absorbed energy, moreover it has acceptable computational complexity.

Open Access: Yes

DOI: DOI not available