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GENETIC ALGORITHM-BASED OPTIMIZATION OF BOLTED T-STUB CONNECTION UNDER DYNAMIC LOADING USING FINITE ELEMENT ANALYSIS

Ákos Wolf Majid Movahedi Rad Péter Grubits Majid Movahedi Rad

Publication Name: Compdyn Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 3413-3423

Description:

The equivalent T-stub technique is widely utilized as a design solution for steel bolted connections, which are otherwise complex to analyze. However, traditional standard-based methods often lack the precision required for accurate analysis, particularly when accounting for dynamic effects, such as those caused by earthquakes, leading to designs that may not be sustainable. This research addresses this issue by introducing a framework aimed at optimizing the bolt layout in a selected T-stub connection to maximize structural performance under cyclic loading, thereby enhancing sustainability. The finite element method (FEM) was employed to account for nonlinear characteristics, including the elastic-plastic behavior of steel, large deformations, and contact nonlinearities, ensuring precise analysis. The developed T-stub model was validated against experimental tests to reflect real-world behavior, utilizing ABAQUS finite element software. Optimization was conducted using a genetic algorithm (GA) implemented in the PYTHON programming language, linked to the simulation process. The results demonstrate the effectiveness of the proposed framework in significantly enhancing the structural performance of the steel T-stub connection under cyclic loading conditions without requiring additional material, thereby contributing to a more sustainable design.

Open Access: Yes

DOI: 10.7712/120125.12662.25059

THE IMPACT OF AN ARTIFICIAL INTELLIGENCE-BASED FORECASTING MODEL ON THE DEVELOPMENT OF SUSTAINABLE TOURISM

Marcell Kupi

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 61

Issue: 3

Page Range: 1758-1766

Description:

This research investigates the application of artificial intelligence (AI) and Web 3.0 technologies in promoting sustainable urban tourism, with a particular focus on demand forecasting and environmental impact assessment. The study presents a two-layered AI-based model aimed at supporting data-driven decision-making in destination management, addressing the need for forward-looking strategies that align with both operational and sustainability goals. The research applies the Facebook Prophet algorithm to forecast monthly tourism demand in two Hungarian cities—Budapest and Győr—selected for their contrasting tourism profiles. Forecast outputs were then integrated into a sustainability impact module estimating carbon dioxide emissions, water consumption, and waste generation, based on empirically defined conversion factors. Results indicated strong seasonal peaks in Budapest, with over 1.3 million overnight stays projected for August 2026, and corresponding environmental impacts surpassing 62,000 tons of CO₂. In contrast, Győr exhibited more moderate fluctuations and lower error margins, reflecting a more stable tourism pattern. Forecast accuracy was assessed using MAE, RMSE, and MAPE metrics, showing acceptable performance for strategic use, although with reduced reliability in low-demand periods. The sustainability module effectively highlighted peak periods of ecological burden, enabling targeted interventions such as infrastructure scaling, service optimization, and seasonal policy adjustments. In addition to its forecasting functionality, the model offers practical guidance for municipalities by identifying where and when ecological pressure is likely to arise. The dual-model framework offers a scalable and replicable approach for cities seeking to balance tourism growth with environmental and community well-being. By integrating predictive analytics with sustainability assessment, the model provides valuable insights into the timing and magnitude of tourism’s impact. This supports smarter capacity planning, emission reduction strategies, and the alignment of visitor flows with local resilience thresholds. The findings contribute to the evolving discourse on smart and sustainable tourism in the Web 3.0 era, positioning AI as a critical enabler of holistic and proactive destination manageme nt.

Open Access: Yes

DOI: 10.30892/gtg.61334-1544

Case Study on Kitchen Waste Collection Materials: Comparing the Effects of Biobased Bags on Anaerobic Digestion

Karoly Kalauz Katalin Bélafi-Bakó Tamás Rózsenberszki Janka Bobek-Nagy Csilla Őze Veronika Kalauz-Simon Janka Bobek-Nagy Veronika Kalauz-Simon Katalin Kovács Nándor Nemestóthy Péter Komáromy

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 109-114

Description:

Separate collection of household bio-waste became mandatory across the European Union in 2024, increasing the use of biodegradable paper and plastic liners for kitchen waste. While these materials improve source-separation and hygiene, their behavior during Anaerobic Digestion (AD) remains insufficiently understood and may affect plant performance and digestate quality. This study evaluated five commercially available collection bags – three paper-based and two biodegradable plastic types – under mesophilic batch AD conditions. Paper bags increased methane and biogas yields by approximately 5–20 %, while biodegradable plastics resulted in similar or slightly reduced yields compared to controls. Neither material showed substantial structural degradation, but paper provided additional substrate and surface area, supporting modest efficiency gains. In contrast, persistent plastic fragments in the digestate may limit its agricultural use under strict EU fertilizer regulations, leading to higher post-treatment costs. These findings highlight that paper liners are more compatible with AD-based waste management systems, informing municipalities, policymakers, and operators in selecting collection tools that optimize resource recovery and regulatory compliance.

Open Access: Yes

DOI: 10.3303/CET25121019

Development of New HS–SPME–GC–MS Technique to the Measurement of Volatile Terpenoid Profile of Milk

E. Lakatos Székelyhidi Rita Beatrix Sik Zsolt Ajtony

Publication Name: Food Analytical Methods

Publication Date: 2021-12-01

Volume: 14

Issue: 12

Page Range: 2585-2596

Description:

This study presented the development of such a HS–SPME–GC–MS technique, with the use of which, directly from the raw milk sample matrix, both qualitatively and quantitatively; the volatile terpenoids (α-pinene, sabinene, β-pinene, p-cymene, limonene, linalool, α-thujene, camphor, menthol, methyl chavicol, caryophyllene E, α-humulene) can be determined, derived from herbs eaten by the dairy animals by different feeding methods. Repeatability was less than 10% in the case of milk fat samples. The estimated limits of quantitation were between 2 and 16 ng/g. The lowest values were 2 ng/g for p-cymene and methyl chavicol; the highest value was 16 ng/g for caryophyllene. In the case of goat milk, the repeatability was better than 8% except for α-thujene. The estimated limits of quantitation were between 1 and 8 ng/g. The lowest values were 1 ng/g for β-pinene, p-cymene and limonene, and the highest value was 8 ng/g for linalool. In milk fat, the highest concentration was identified in caryophyllene E (470 ng/g) and α-humulene (430 ng/g), while the lowest concentration was in p-cymene (2 ng/g) and camphor (2 ng/g). In goat milk, limonene was present in all samples, but its amount varied depending on the type of consumed herb. Methyl chavicol and caryophyllene E were detected in goat’s milk only in one case. The former was detected in sage milk at 2.09 ng/g and the latter in tarragon milk at 2.28 ng/g. We have also successfully demonstrated that the feed consumed by dairy animals also affects the quality of dairy products.

Open Access: Yes

DOI: 10.1007/s12161-021-02070-9

Transportation network realization with an optimization method

Tamás Hartványi András Bakó István Szuts

Publication Name: Isciii 09 4th International Symposium on Computational Intelligence and Intelligent Informatics Proceedings

Publication Date: 2009-12-28

Volume: Unknown

Issue: Unknown

Page Range: 81-84

Description:

In connection with the network realization problem the main questions of the algorithm are which edges to choose and what is the budget consequence of that. These problems can be solved by exact optimization methods, but in this case the number of computational steps (additions and comparisons) is an exponential function of the number of nodes. For this reason usually heuristic methods are chosen for solving these problems. Some special problems can be formulated as maximal flow problems. To get the solution we use only maximal flow and shortest route algorithms. Thus we decrease the number of computations, but the size of the network will grow. In this paper we describe this algorithm to solve the network realization problem. Then we give a transportation network realization problem and show how to solve this problem by the some algorithms. © 2009 IEEE.

Open Access: Yes

DOI: 10.1109/ISCIII.2009.5342277

The Connections Between Social Media Platforms and Hybridity

Roland Kelemen Ádám Farkas Ádám Farkas

Publication Name: Palgrave Studies in Digital Inequalities

Publication Date: 2025-01-01

Volume: Part F742

Issue: Unknown

Page Range: 105-123

Description:

The method of hybrid threats and the underlying conceptual framework have been widely investigated again since the second half of the 2000s, following Hezbollah’s tangible military success in Lebanon against the Israel Defense Forces in 2006. This was exacerbated by the activities of the Islamic State, which conducted a sophisticated and rather aggressive marketing campaign, and developed psychological warfare in cyberspace to a high level. Various operations in the context of the Ukrainian crisis and the Russian annexation of Crimea have once again brought hybrid warfare into the spotlight. The hybrid equipments are not new in history, but their success has been obviously enhanced by the development of technology, especially cyberspace and the wide range of opportunities cyberspace offers. Following the Russian–Ukrainian crisis, it has also become clear that hybrid instruments can not only appear as parts of a complex interstate conflict but that some of their elements can be used on their own. Clear examples of this include various disinformation campaigns. In this paper, the authors highlight, through a characterisation of hybrid conflicts, the extent to which the use of soft assets is an immanent part of contemporary military operations. The filtering practices and mechanisms, economic and market perceptions of social media platforms can be used to conduct disinformation campaigns.

Open Access: Yes

DOI: 10.1007/978-3-031-83479-0_6

The politics of digital sovereignty and the European Union’s legislation: navigating crises

András Lapsánszky Gábor Hulkó János Kálmán

Publication Name: Frontiers in Political Science

Publication Date: 2025-01-01

Volume: 7

Issue: Unknown

Page Range: Unknown

Description:

In recent years, the resistance of member states to the strengthening of the European Union and its ambition to extend the powers of nation states has become a dominant political element, especially in the countries of the Central and Eastern European region. At the same time, both nation states and the EU are facing a number of global challenges, one of the most significant of which, alongside climate change, is digitalization. At the dawn of the digital age, technological innovation and the free flow of information promised unprecedented opportunities. However, as digital technologies have increasingly permeated all aspects of economic, social and political life, they have created new crises and challenges, particularly with regard to digital sovereignty. This research explores the complex and interdisciplinary nature of digital sovereignty, with a particular focus on the crises that digitalization has triggered and caused. These crises manifest themselves in various forms, including cybersecurity threats, privacy issues and the economic dominance of global technology companies. The European Union’s legislative initiatives, including the Digital Services (DSA), Digital Markets (DMA) and European Media Freedom (EMFA) regulations, as well as the efforts to regulate artificial intelligence, are designed to address the crises inherent in the digital age, while at the same time posing new challenges to the sovereignty and perception of sovereignty of individual states. The research examines the EU’s legislative efforts in navigating the politics of digital crises. It sheds light on the interplay between national self-determination and the EU’s overall regulatory framework, highlighting the ongoing struggle to balance control and cooperation in a rapidly changing digital environment. The analysis will provide a deeper understanding of how digital sovereignty is shaped by and responds to crisis policy, and insights into the future of digital governance in an increasingly interconnected world. It also seeks to assess the extent to which recently introduced EU legislation can be harmonized with the policy objective of strengthening the autonomy of nation states. This is particularly important in the context of the legislation and practices observed in countries with relatively small populations, such as Hungary, Slovakia and the Czech Republic.

Open Access: Yes

DOI: 10.3389/fpos.2025.1548562

Methods to detect and measure scour around bridge foundations

Muhanad Al-Jubouri Richard P. Ray

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 631-649

Description:

Bridges are indispensable structures vital to the operation of road and rail transportation networks. Crossing rivers and artificial waterways, however, presents a risk to their foundations due to scour actions. Scour is the number one cause for bridge failures and may occur beneath any bridge, large or small, with supports located within the waterway. This paper provides a summary of present scour detection and measurement equipment and associated assessment methodologies. In this regard, particular emphasis is placed on structural health monitoring better to evaluate the presence and influence of potential scour. A Sensitivity Analysis on a newly introduced monitoring system is also assumed. Furthermore, much research has been undertaken to create a technology that can instantly identify and detect bridge scour, improving survey reliability through prior inspection and prompt intervention. This research will explore and evaluate bridge scour detection methods employed and suggest a possible path for developing the detection system to identify scour depth effectively and efficiently. Finally, our key aim is to minimize human effort in identifying and bridge scour by using a quick, easy-to-use, cost-effective process, resulting in fewer injuries and economic savings.

Open Access: Yes

DOI: 10.14513/actatechjaur.00626

The Acquisition of Phonological Awareness in Children with Mild General Learning Difficulties: Delayed or Disordered Speech Development?

No authors available

Publication Name: On Under-Reported Monolingual Child Phonology

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 274-323

Description:

Open Access: No

DOI: DOI not available