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Publications - 6383

Reliability based topology optimization of thermoelastic structures using bi-directional evolutionary structural optimization method

Majid Movahedi Rad Muayad Habashneh

Publication Name: International Journal of Mechanics and Materials in Design

Publication Date: 2023-09-01

Volume: 19

Issue: 3

Page Range: 605-620

Description:

The aim of this paper is to propose a novel computational technique of applying reliability-based design to thermoelastic structural topology optimization. Therefore, the optimization of thermoelastic structures' topology based on reliability-based design is considered by utilizing geometrical nonlinearity analysis. For purposes of introducing reliability-based optimization, the volume fraction parameter is viewed as a random variable with a normal distribution having a mean value and standard deviation. The Monte Carlo simulation approach for probabilistic designs is used to calculate the reliability index, which is used as a constraint related to the volume fraction constraint of the deterministic problem. A new bi-directional evolutionary structural optimization scheme is developed, in which a geometrically nonlinear thermoelastic model is applied in the sensitivity analysis. The impact of changing the constraint of a defined volume of the required design in deterministic problems is examined. Additionally, the impact of altering the reliability index in probabilistic problems is investigated. The effectiveness of the suggested approach is shown using a benchmark problem. Additionally, this research takes into account probabilistic thermoelastic topology optimization for a 2D L-shaped beam problem.

Open Access: Yes

DOI: 10.1007/s10999-023-09641-0

First report of Haemaphysalis bispinosa, molecular-geographic relationships of Ixodes granulatus and a new Dermacentor species from Vietnam

Thanh Thi Ha Dao Jenő Kontschán Yuanzhi Wang Gergő Keve Tamás Görföl Dat Van Nguyen Khanh Ngoc Phuong Ho Nóra Takács Sándor Hornok Róbert Farkas

Publication Name: Parasites and Vectors

Publication Date: 2025-12-01

Volume: 18

Issue: 1

Page Range: Unknown

Description:

Background: Vietnam and its region are regarded as an ixodid tick biodiversity hotspot for at least two genera: Haemaphysalis and Dermacentor. To contribute to our knowledge on the tick fauna of this country, ticks from these two genera as well as an Ixodes species were analyzed morphologically and their molecular-phylogenetic relationships were examined in taxonomic and geographical contexts. Methods: For this study, seven Haemaphysalis sp. ticks were removed from dogs and collected from the vegetation. These showed morphological differences from congeneric species known to occur in Vietnam. In addition, three Ixodes sp. ticks were collected from pygmy slow lorises (Xanthonycticebus pygmaeus), and a Dermacentor female had been previously collected from the vegetation. After DNA extraction, these were molecularly or phylogenetically analyzed based on the cytochrome c oxidase subunit I (cox1) and 16S rRNA genes. Results: The three species were morphologically identified as (i) Ixodes granulatus, which had nearly or exactly 100% sequence identities to conspecific ticks reported from large (approximately 2000 km) geographical distances but was more different (having lower, only 94.2% cox1 and 96.7% 16S rRNA sequence identity) from samples collected within 1000 km of Vietnam in Southern China and Malaysia, respectively; (ii) Haemaphysalis bispinosa, which showed 100% sequence identity to samples reported within both narrow and broad geographical ranges; and (iii) a new species, Dermacentor pseudotamokensis Hornok sp. nov., described here morphologically and shown to be phylogenetically a sister species to Dermacentor tamokensis. Conclusions: Haemaphysalis bispinosa shows genetic homogeneity in the whole of South and Southeast Asia, probably owing to its frequent association with domestic ruminants and dogs (i.e. frequently transported hosts). However, I. granulatus, the Asian rodent tick, has a mixed geographical pattern of haplotypes, probably because it may associate with either synanthropic or wild-living rodents as primary hosts. This tick species is recorded here, for the first time to our knowledge, as parasitizing lorises in Vietnam and its region. Based on phylogenetic analyses, D. pseudotamokensis Hornok sp. nov., recognized and described here for the first time, was almost certainly misidentified previously as Dermacentor steini, drawing attention to the need to barcode all Dermacentor spp. in Southern Asia.

Open Access: Yes

DOI: 10.1186/s13071-024-06641-7

Knowledge management strategy as a chance of small and medium-sized enterprises

Andrea Bencsik Tímea Juhász

Publication Name: Organizational Culture and Behavior Concepts Methodologies Tools and Applications

Publication Date: 2017-02-10

Volume: 2-4

Issue: Unknown

Page Range: 577-607

Description:

This chapter shows how SMEs can compete with multinational companies. This chapter was written on the basis of practical research results. In this research, Hungarian and Slovakian SMEs were investigated from the view of a knowledge-based economy. The question was how they can face future challenges. The researchers wanted to know how SMEs handle their chance which is hidden in their way of thinking about a knowledge strategy. As a result, these companies seem to be afraid, uncertain, and think their success is only luck or a current incident. They live a "fly by night" existence, and they do not feel the importance of development, of studying, of knowledge, they run after work and money. These enterprises feel that they have to survive, and to this, they need money and financial capital. Therefore, knowledge and studying fall behind.

Open Access: Yes

DOI: 10.4018/978-1-5225-1913-3.ch028

How cognitive infocommunications play a critical role in shaping the future of forensic sciences defining forensic cognitive infocommunications

Andras Czebe Gabor Kovacs

Publication Name: 7th IEEE International Conference on Cognitive Infocommunications Coginfocom 2016 Proceedings

Publication Date: 2017-01-03

Volume: Unknown

Issue: Unknown

Page Range: 283-287

Description:

Forensic sciences are facing radical changes. Cognitive technologies are one of the main efforts in forming these changes which can fulfill cognitive procedures that were once exclusively the scope of forensic experts. However, the acquisition of a cognitive structure that makes experts more effectual, can also lead them to erroneous identifications. Therefore, one must fully examine and interpret how information transfer occurs between two cognitive beings. Our focus in this paper is to lay the basis and to inspire further research on the development of Forensic Cognitive Infocommunications.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2016.7804562

Increasing the functionality of sponge cakes by mint, and cocoa powder addition

E. Lakatos V. Kapcsándi Székelyhidi Rita Beatrix Sik Krisztina Kovács

Publication Name: Heliyon

Publication Date: 2023-09-01

Volume: 9

Issue: 9

Page Range: Unknown

Description:

While sponge cake is one of the most well-liked cookies in the world, mint and cocoa have both been shown to be excellent sources of antioxidant compounds. Therefore, the aim of the study was to create functional sponge cakes with the addition of Dutch cocoa powder and different types of mint, with proven increased total antioxidant and polyphenol content. Additionally, made an effort to produce functional sponge cakes enhanced with cocoa powder and dried, ground mint leaves. To accomplish this, the cakes with cocoa addition were also added 1, 3, and 5% of the ground mint variety, and then the changes in their antioxidant and polyphenol content were assessed. To prove the functionality of cakes, total polyphenol content was detected by Folin-Ciocalteu, while all antioxidant content was measured by the FRAP method. The spectrophotometric analysis supported the functionality of sponge cakes and the baking losses of identified components. The total polyphenol content of baked goods ranged from 1.37 to 1.66 mg GAE/g for peppermint cakes, from 1.66 to 1.87 mg GAE/g for spearmint cakes, and from 1.20 to 1.68 mg GAE/g for strawberry mint sponge cakes. The total antioxidant content of the functional cakes changed between 1.84 and 2.82 mg AAE/g for peppermint cakes, from 1.84 to 4.00 mg AAE/g for spearmint cakes, and from 1.56 to 2.94 mg GAE/g for strawberry mint sponge cakes. The natural control samples, and control sponge cakes made without mint addition with only cocoa powder always had lower levels of polyphenols and antioxidants. All samples had baking loss (control samples had the highest in all cases), but strawberry mint samples had the least of it when it came to antioxidant content and spearmint samples had the least in the case of polyphenol content. Overall, mints and Dutch cocoa powder are appropriate for the production of functional bakery goods because they give the final product a tasty flavor and provide a significant amount of antioxidants and polyphenols despite baking.

Open Access: Yes

DOI: 10.1016/j.heliyon.2023.e20029

Maximizing battery life and usable capacity with battery management system in electric vehicles

Zoltán Szeli Gábor Szakállas Ferenc Szauter

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2017-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

In terms of the electric vehicles is an important issue of sizing a battery pack. The designer must take account of parameters such as cost, weight and durability. We can optimize these parameters with the help of a battery management system with integrated active cell balancing function. The article describes the development of a battery management system that developed by the Research Centre of Vehicle Industry at Széchenyi István University, Gyor, Hungary.

Open Access: Yes

DOI: 10.1115/DETC2017-67939

Comparison of Clustering-Based Virtual SEA Subsystem Generation Models

Dániel Feszty David Sipos

Publication Name: Journal of Theoretical and Computational Acoustics

Publication Date: 2023-09-01

Volume: 31

Issue: 3

Page Range: Unknown

Description:

Building a valid Statistical Energy Analysis (SEA) model is far from straightforward in real life applications because it has to comply with certain requirements. Since intuition-based SEA subsystems do not always entirely meet these, more advanced methods such as clustering techniques have been proposed for model building. This paper focuses on the comparison of different clustering techniques from SEA model validity point of view in the case of a simplified car body model. Besides the compliance with the SEA theory, each obtained model is compared to a reference finite element simulation to assess its accuracy.

Open Access: Yes

DOI: 10.1142/S2591728523500081

Intelligent predictive neural network analysis on LTNE impacts on thermophoretic particle deposition in HFE 7100 nanofluid with Co3O4 nanoparticle

Joy Djuansjah Bouthaina Dammak Walid Abdelfattah Ilyas Khan Munawar Abbas Nidhal Ben Khedher Muhammad Sabaoon Khan Saba Liaqat

Publication Name: Discover Nano

Publication Date: 2026-12-01

Volume: 21

Issue: 1

Page Range: Unknown

Description:

This study examines the outcome of heat generation on thermophoretic particle deposition in Co3O4/HFE-7100 nanofluid flowing past a vertical cylinder in a permeable media under local thermal non-equilibrium conditions employing an ANN coupled with a Bayesian-regularized back-propagation algorithm. For contrast, a simplified mathematical formulation is also used to examine the thermal behavior without local thermal equilibrium assumptions, that is, without LTNE limitations. The solid matrix and fluid phase are treated as distinct temperature fields in the LTNE framework, necessitating unique thermal gradients for each phase. Optimizing heat transfer performance using ANN-based regression modeling is the main goal of this work. Well-structured training and testing datasets are used to guarantee numerical stability and prediction resilience, and the Bayesian-regularization back-propagation technique is applied to enhance generalization capacity. The impact of dominating governing factors is illustrated graphically, and an error evaluation is provided to gauge model correctness. The ANN model was trained using the obtained dataset and then tested against numerical values of important engineering variables. Tables and graphs are utilized to show how new factors affect the flow’s dynamics. The rate of liquid phase heat transmission declines as the inter-phase heat transport values increase.

Open Access: Yes

DOI: 10.1186/s11671-026-04616-4

Assessing climate uncertainty in green bonds: Evidence from machine learning and GARCH-MIDAS models

Yang Xie Kaouther Chebbi Hyoungsuk Lee Xin Zhao Xixi Ye Guoqing Zhai

Publication Name: Environmental Impact Assessment Review

Publication Date: 2026-09-01

Volume: 121

Issue: Unknown

Page Range: Unknown

Description:

This paper employs a GARCH-MIDAS framework integrated with machine learning to investigate the impact of climate-related uncertainties on the volatility of the China's green bond market (GBM). By combining high-frequency financial data with multi-source, low-frequency climate uncertainty indicators, we examined how macro-financial conditions and climate risks jointly affect the dynamic changes of the GBM in China. Machine learning methods were used to identify and rank the key drivers of volatility. The research results indicate that traditional macro-financial variables remain the main determinants of the volatility in the green bond market, among which the impact of government bond yields is the most significant. Climate uncertainty information also has a significant impact on the volatility of green bonds. Moreover, incorporating climate uncertainty into the GARCH-MIDAS model significantly enhances its explanatory power, highlighting the importance of considering mixed-frequency risk factors in understanding China's green bond market dynamics. These findings underscore the crucial role of climate uncertainty in green bond pricing and indicate that combining machine learning with mixed-frequency volatility modeling can provide a more comprehensive framework for understanding the dynamics of the green bond market.

Open Access: Yes

DOI: 10.1016/j.eiar.2026.108528