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Publications - 6374

A new fuzzy graph and signature based approach to describe fuzzy situational maps

Claudiu Radu Pozna Áron Ballagi Laszlo T. Koczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2014-09-04

Volume: Unknown

Issue: Unknown

Page Range: 1340-1345

Description:

Computational tasks involving intelligent agents often need to process complex structured information. The way of describing this information greatly influences the performance of the agent. Therefore, a big issue is how the complex data describing that valuable information is not lose while it can also be processed in tractable time. Fuzzy signatures and their multidimensional geometric extension, fuzzy situational maps, are used to describe such complex structured data. These problems are examined in the context of a cooperative mobile robot task and a new method is developed for the simplified describing and processing of the complex inner relations in fuzzy situational maps. This paper mainly deals with the fundamentals of this method.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2014.6891862

The first uniform rail passenger fare model in Europe: Hungary's late 19th-century reform and its foreign judgement

Horváth Csaba Sándor Majdán János Csaba Sándor Horváth

Publication Name: Hungarian Studies

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The advent of the railways had a profound impact on the fates and economies of nations, transforming nearly every aspect of society and culture throughout the 19th century. Despite a somewhat late start, Hungary developed a large and sophisticated rail system. This system was revolutionized in 1889 with the introduction of the zone tariff system by Gábor Baross, which greatly simplified ticket pricing and made rail travel affordable for the average Hungarian. Though few believed it would be sustainable, the Baross system had a substantial international impact. Experts from across Europe traveled to Hungary to study the reform. This paper examines the impact of the unified zone tariff system—the first of its kind in Europe—and explores its reception abroad and the extent to which it served as a model for other nations, drawing on both Hungarian and international historical literature on railway and tariff policy, as well as primary sources.

Open Access: Yes

DOI: 10.1556/044.2025.00314

The dynamic impact of oil price volatility on China's green bond market: An empirical analysis during economic shocks

Andrea Gatto Hyoungsuk Lee Xin Zhao Xin Shu Xiaolei Zong

Publication Name: Energy Strategy Reviews

Publication Date: 2026-03-01

Volume: 64

Issue: Unknown

Page Range: Unknown

Description:

The progressive financialization of oil, in tandem with the advancement of economic globalization, has led to a sharp increase in oil prices. The growing volatility in the global economic and financial landscape has had some impact on the green bond market. Emerging markets, such as China, are particularly interesting due to their rapid evolution. This paper empirically analyzes the dynamic impact of oil market price uncertainty on China's Green Bond (GB) using the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) model. The empirical findings indicate that the uncertainty of oil has a remarkable time-varying influence on China's green bonds. Specifically, when oil prices rise, the yields on green bonds decrease. Dynamic correlation analysis reveals that oil market uncertainty exhibits a negative correlation with green bonds, with a more pronounced impact during the COVID-19 pandemic. Furthermore, an impulse response analysis shows that long-term interactions between oil prices and green bonds gradually stabilize, and short-term fluctuations are frequent and complex due to market factors. These fluctuations were more pronounced during the COVID-19 pandemic, consistent with the above conclusions. Oil market uncertainty increases risk levels in the overall financial market, which may affect investors' perceptions of green bonds. Drawing on the research outcomes, this study presents targeted policy recommendations aimed at promoting the stable and sustainable development of China's GB market. These measures are designed to bolster the nation's transition toward a green economy and align with its long-term sustainability goals.

Open Access: Yes

DOI: 10.1016/j.esr.2026.102112

Mobile and Web Tools for Analyzing Driver Mental States in Simulated Tests †

Gabor Kovacs Viktor Nagy

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Enhancing road safety requires an accurate assessment of the drivers’ mental states. The Driver Status Test App (DSTA) is designed to detect conditions such as intoxication, fatigue, and cognitive impairment in simulated driving environments. Utilizing a dual-platform approach, it integrates mobile data collection via React Native and Firebase with web-based management using React and TypeScript. The mobile application conducts real-time assessments of cognitive and motor functions, while the web interface offers data visualization, trend analysis, and results exportation. DSTA evaluates driver impairment through metrics such as tracking, precision, balance, and choice reaction, producing an objective impairment score. These assessments are rapid, scalable, and adaptable for various research and regulatory purposes. The composite scoring framework differentiates between impaired and unimpaired states, making DSTA valuable for driver training programs, regulatory assessments, and autonomous vehicle research, where monitoring human factors is crucial.

Open Access: Yes

DOI: 10.3390/engproc2025113018

Spectral reconstruction from tristimulus values with the use of principal component analysis and genetic optimization

Zsolt Sávoli András Horváth Balázs Kránicz

Publication Name: Light and Engineering

Publication Date: 2017-01-01

Volume: 25

Issue: 1

Page Range: 96-105

Description:

Reconstruction of spectrum or spectral reflectance using only tristimulus values is impossible because of the infinite number of metamers. However, with additional information about the type of light source or surface, approximate reconstruction is possible. Several studies were written on this topic using Principal Component Analysis (PCA): using a sample set of spectra (or spectral reflectance) the search space for appropriate metamer can be narrowed. In this paper a new PCA-based optimization method is presented, which is more accurate than that of published before and gives non-negative, smooth results. Using precalculated lookup tables, the time and memory consumption will be very small. This method can produce a good reconstructed, realistic spectrum of an illuminant or spectral reflectance function for a surface based on tristimulus values of a digital image.

Open Access: Yes

DOI: DOI not available

Heat transfer enhancement in MHD flow of tri-hybrid Maxwell nanofluid with ramped wall heating: A fractional Caputo–Crank–Nicolson approach

Arshad Khan Mohsen Bakouri Wei Sin Koh Nabeel Khan Ghaliah Alhamzi Ilyas Khan Wei Sin Koh Farhad Ali

Publication Name: Results in Engineering

Publication Date: 2026-03-01

Volume: 29

Issue: Unknown

Page Range: Unknown

Description:

The flow and heat transfer characteristics of a tri-hybrid nanofluid in a porous medium are investigated under the influence of magnetohydrodynamics (MHD) and a ramped wall temperature. A Maxwell fluid is employed as the base fluid, in which three types of spherical nanoparticles, tungsten trioxide (WO₃), silver (Ag), and titanium dioxide (TiO₂), are suspended. The physical model is formulated using a system of partial differential equations subject to appropriate initial and boundary conditions. To enhance the novelty of the analysis, fractional derivatives are incorporated into the Maxwell fluid model along with porosity effects. Among the various definitions of fractional derivatives, the Caputo fractional derivative is preferred for its wide applicability in physical problems. The fractional-order derivatives are evaluated using the Caputo formulation, while the Crank–Nicolson numerical scheme is employed to discretize the time-dependent terms and solve the governing equations under ramped heating conditions. The proposed framework, which combines the Caputo fractional derivative with the Crank–Nicolson method to analyze tri-hybrid nanofluid flow, is a distinctive feature of this work. The Caputo derivative effectively captures memory-dependent behavior, allowing the model to account for the system’s dependence on its past states. This capability is particularly important for nanofluids exhibiting nonlocal and anomalous interactions, where classical integer-order models based on simple linear stress–strain relationships fail to accurately represent the complex rheological behavior. Overall, the adopted numerical approach provides improved accuracy and flexibility in modeling complex heat transfer processes, making the present study relevant to a wide range of biomedical and industrial applications.

Open Access: Yes

DOI: 10.1016/j.rineng.2026.109476

On modeling and identification of empirical partially intelligible white noise processes

András Rövid Peter Varlaki László Palkovics

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1262-1279

Description:

The paper discusses the identification of the empirical, partially intelligible white noise processes generated by deterministic numerical algorithms. The introduced fuzzy-random complementary approach can identify the inner hidden correlational patterns of the empirical white noise process if the process has a real hidden structure of this kind. We have shown how the characteristics of autocorrelated white noise processes change as the order of autocorrelation increases. Based on this approach, the original empirical white noise process transformed by the autocorrelation operator can be considered to be random data series (randomlikeness), and at the same time, it has function-like characteristics (functionlikeness), as well. We approach the analysis of the mentioned complementarity by modeling the autocorrelation functions of the empirical white noise processes using tensor product (TP) model transformation.

Open Access: Yes

DOI: 10.1002/asjc.2470

Heat transfer control in MHD flow through internally finned vertical duct: A finite volume approach

Mohamed R. Eid Kashif Ali Assmaa Abd-Elmonem Bandar M. Fadhl Syed M. Hussain Wasim Jamshed Hijaz Ahmad Neissrien Alhubieshi

Publication Name: International Communications in Heat and Mass Transfer

Publication Date: 2026-03-01

Volume: 172

Issue: Unknown

Page Range: Unknown

Description:

The purpose of this investigation is to explore in depth a duct flow that incorporates the Al2O3/H2O nanofluid while it is subjected to an external field impact. The duct is made up of two opposing fins that are joined to the walls that are opposite each other. The temperature may be considered to be uniform at the cross-sectional plane of the duct. Additionally, the heat flow at the border is not variable. The finite volume approach was chosen because it offers a satisfactory balance between computing efficiency and the accuracy of its solutions. Importantly, our results indicate that the slowness of flow that is caused by increased Rayleigh numbers may be efficiently regulated by introducing an external magnetic field that has been carefully measured. The significance of this study demonstrates how magnetic-field modulation can be strategically employed to control thermal-hydraulic behavior in internally finned duct systems. The results provide valuable guidance for designing advanced cooling channels, energy devices, and thermal management systems where enhanced heat transfer and flow stability are required under magnetic field environments. The installation of an external magnetic field of moderate strength resulted in a drop of about 75 % in both the maximum velocity and temperature across the duct. Further, a jump of approximately 66 % in the average Nusselt number has been brought about by 25 % increase in the fin height. Through the use of this study framework, a link between thermal-hydraulic behavior and the application of magnetic force is established. The involvement of the Lorentz force, which offers resistance to the motion of the fluid by operating in a direction that is perpendicular to the direction in which the fluid is flowing, and the magnetic force, is brought about as a consequence of the magnetic forces. Consequently, it is possible to draw the conclusion that a larger Nusselt number is the result of both a higher Rayleigh number and a higher magnetic parameter.

Open Access: Yes

DOI: 10.1016/j.icheatmasstransfer.2025.110298

Pathologic abnormalities of deep placentation in the great obstetrical syndromes: Implications for understanding the pathophysiology, risk assessment in early pregnancy, and personalized prevention

Offer Erez Adi L. Tarca Nándor Gábor Than Pierre Yves Robillard Zoltán Papp Gergő Leipold Zsófia Benkő Sándor Nagy Roberto Romero Petra Merkely Máté Posta Nándor Ács Beáta Hargitai Sándor Valent Tamás Marton Gábor Szalai

Publication Name: Journal of Reproductive Immunology

Publication Date: 2026-03-01

Volume: 174

Issue: Unknown

Page Range: Unknown

Description:

AbstractThe concept of the Great Obstetrical Syndromes was introduced to explain the unique nature of obstetrical disease, which differs fundamentally from disorders in other areas of medicine. These syndromes, including preeclampsia, fetal growth restriction, fetal death, and spontaneous preterm birth, represent clinical endpoints rather than single diseases and share defining characteristics: they arise from multiple etiologies, have a prolonged subclinical phase, involve the fetus as an active participant, are adaptive in nature, and result from complex genetic and environmental interactions between the mother and fetus. Among the diverse mechanisms leading to these syndromes, abnormalities of the maternal supply line to the placenta constitute one major etiology and are often caused by vascular disorders affecting the maternal cardiovascular system and uterine spiral arteries, resulting in placental lesions of maternal vascular malperfusion. The most severe spiral artery lesion is atherosis, which closely resembles atherosclerosis and links obstetrical syndromes to maternal vascular disease. Disorders of deep placentation associated with maternal vascular malperfusion are accompanied by characteristic alterations in angiogenic balance, and the ratio of placental growth factor to soluble fms-like tyrosine kinase-1 in the maternal circulation serves as a biomarker of this pathophysiologic process. Importantly, each obstetrical syndrome is associated with a stereotypic temporal pattern of angiogenic imbalance that reflects differences in disease burden, timing, and clinical expression. While substantial progress has been made in the prediction and prevention of preeclampsia, these concepts extend to other obstetrical syndromes, including fetal growth restriction, fetal death, and spontaneous preterm labor, supporting a unified biologic framework for early risk assessment and personalized prevention.

Open Access: Yes

DOI: 10.1016/j.jri.2026.104846