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Found 6374 publications

Forecasting travel time reliability in Urban road transport

Csaba Koren Tamás Mátrai Mattias Juhász

Publication Name: Archives of Transport

Publication Date: 2017-01-01

Volume: 43

Issue: 3

Page Range: 53-67

Description:

Assessment of travel time reliability as a fundamental factor in travel behaviour has become a very important aspect in both transport modelling and economic appraisal. Improved reliability could provide a significant economic benefit if it is adequately calculated in cost-benefit analyses for which the theoretical background has already been set. However, methods to forecast travel time reliability as well as travel behaviour models including its effects are rather scarce and there is a need for development in this field. Another important aspect could be the influencing factor of reliability in travel demand management and related policy-making. Therefore, this paper intends to further analyse reliability focusing exclusively on urban road transport based on automatic measurements of journey times and traffic volumes from a dataset of the city of Budapest. The main finding and the novelty of the study is a model which can forecast the standard deviation of travel times based on the volume-capacity ratio and the free-flow travel time. The paper also provides a real-life numerical experiment in which the proposed model has been compared with other, existing ones. It proves that besides existing mean-delay-based models, travel time reliability can be forecasted based on the volume-capacity ratio with an adequate accuracy.

Open Access: Yes

DOI: 10.5604/01.3001.0010.4227

Artificial intelligence-driven performance analysis of carbon nanotubes hybrid nanofluid with wastewater treatment applications: an intelligent neuro-computing model

Nidhal Ben Khedher Wei Sin Koh Mamurakhon Toshpulatova Ansar Abbas Durdana Rustamova Farkhad Ilyas Khan Munawar Abbas Wei Sin Koh Mustafa Bayram

Publication Name: South African Journal of Chemical Engineering

Publication Date: 2026-07-01

Volume: 57

Issue: Unknown

Page Range: Unknown

Description:

The current study examines the properties of heat radiation on the Darcy Forchheimer flow of carbon nanotube/water based hybrid nanofluid across a Riga plate in the occurrence of oxytactic microbes, employing a novel intelligent numerical computing paradigm based on the legacy of neural networks with the intelligent Bayesian regularization (NN-IBR) method. The AI-driven neuro-computing model for improving the thermal behavior of a carbon nanotube (CNT) hybrid nanofluid in wastewater treatment has a wide range of applications. It has the potential to dramatically improve thermal management efficiency in wastewater treatment plants, improve pollutant removal through optimal heat and mass transfer, and minimize energy consumption in treatment operations. This model can also be used in sustainable water recycling, industrial effluent treatment, and smart environmental management systems, where intelligent prediction and control of nanofluid performance is critical for accomplishing environmentally friendly and cost-effective operations. The Homotopy analysis approach is used to classify the obtained equations. The concentration profile increases as the activation energy parameter values upsurge.

Open Access: Yes

DOI: 10.1016/j.sajce.2026.100899

A comprehensive narrative review on precision medicine approach to hypertension: exploring the role of genetics, epigenetics, microbiome, and artificial intelligence

D. U. Ozsahin Y. Waheed Zille Huma Mustehsan Muhammad Ahsan Javed Abdul Sami Rizwan Ashraf Shazia Nisar

Publication Name: Journal of Health Population and Nutrition

Publication Date: 2025-12-01

Volume: 44

Issue: 1

Page Range: Unknown

Description:

Background: Hypertension (HTN) impacts approximately 1.28 billion individuals globally and poses a great burden of disease. The objectives of this study are to explore the role of genetics, epigenetics, microbiome, and artificial intelligence (AI) in the management of HTN. A thorough literature search was conducted across various databases including PubMed, Google Scholar, Web of Science (WoS), and Medline to retrieve articles related to the role of genetics, epigenetics, microbiome, and AI in the precision medicine of HTN. Genes—including ACE, NOS3, ADD1, CYP11B2, NPPA, and NPPB—have a profound impact on blood pressure (BP) regulation in our body and polymorphism in these key genes can lead to HTN. Up or down-regulation of genes by epigenetic factors such as miRNA-155, miRNA-210, and miRNA-122 can significantly contribute to the development of HTN. These genetic and epigenetic factors can also be used as specific targets for gene editing and gene therapy for long-term management of HTN. However, the implementation of these techniques has not been possible in clinical settings due to lack of human studies and safety concerns related to unpredictable DNA alterations, nucleotide deletions, and loss of allele-specific chromosomes. Modulation of gut microbiome through oral supplements, fecal microbiota transplant (FMT), and dietary interventions has emerged as one the most effective and safe techniques for managing HTN in human models. AI-based cutting-edge models have helped curate personalized diet plans based on an individual’s unique microbiome, genomic information, and physiological conditions leading to a reduction in BMI, fat, BP, and heart rate while improving overall cardiac health and gut microbial diversity. Despite the significant advantages offered by AI-based medicine, ethical concerns—related to data privacy, bias, and discrimination—and ineffective models have led to limited integration of AI in precision medicine of HTN. The integration of genetics, epigenetics, microbiome, and AI-based models can play a key role in improving the current landscape of precision medicine of HTN. These cutting-edge techniques can lead to a shift from the current one-size-fits all approach to more personalized treatment plan however further research in human models is needed to determine the safety and true efficacy of these techniques. Additionally, new AI-models need to be developed that address ethical concerns and are effective in real-world clinical settings.

Open Access: Yes

DOI: 10.1186/s41043-025-01058-z

HOSVD based data representation and LPV model complexity reduction

András Rövid Peter Varlaki Lászlõ Szeidl

Publication Name: Applications of Mathematics and Computer Engineering American Conference on Applied Mathematics American Math 11 5th Wseas International Conference on Computer Engineering and Applications CEA 11

Publication Date: 2011-06-17

Volume: Unknown

Issue: Unknown

Page Range: 164-169

Description:

In the framework of the paper a HOSVD-based approach is introduced for LPV model reduction and multidimensional data representation. By these approaches in case of model reduction the system matrix is expressed with the help of a so called core tensor and a system of specially determined polylinear orthonormal functions. Similar approach will be applied also in case of data representation. The paper gives a detailed description on how to determine the polylinear functions and the core tensor and how the model can be expressed and reduced with their help. Furthermore, the HOSVD-based domain proposed for data representation will be compared to the well known frequency domain - related to Fourier transformation - from the point of view of their common application possibilities and their effectiveness.

Open Access: Yes

DOI: DOI not available

Numerical study to investigate the thermal characteristic length with coupled CFD-FEM simulations

H. Szűcs

Publication Name: International Journal of Heat and Fluid Flow

Publication Date: 2024-04-01

Volume: 106

Issue: Unknown

Page Range: Unknown

Description:

This paper introduces a new technique for directly calculating the thermal characteristic length (Λ′) of porous materials, addressing a critical parameter required for accurate acoustic simulations during vehicle development. The proposed method offers improved practicality over existing approaches. The research seeks to overcome the limitations of current methods, proposing a coupled CFD-FEA approach within a fluid–structure interaction (FSI) simulation framework. By incorporating both fluid temperature and the fundamental definition of characteristic length, this formulation enables the direct calculation of Λ′. The validity of the method is established through specific tests conducted on ten reconstructed material samples. The proposed approach outperforms measurement techniques and established formulas, offering enhanced accuracy while overcoming the limitations of experimental repeatability. The study demonstrates the universal nature of characteristic curves across various flow regimes, ensuring consistent parameter determination under different flow conditions and sample sizes. Additionally, the research highlights the significant influence of structure deformation, regardless of flow regime, sample size, and flow direction. This paper advances the comprehension of characteristic parameters across diverse conditions by presenting a new method that enhances practicality, accuracy, and applicability to vehicle acoustic simulations.

Open Access: Yes

DOI: 10.1016/j.ijheatfluidflow.2024.109312

General principles of law and international law-making

Gábor Sulyok

Publication Name: Rethinking International Law and Justice

Publication Date: 2016-04-08

Volume: Unknown

Issue: Unknown

Page Range: 313-331

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Application of design tools in carbody construction harmonizing shape and dynamical load

Timea Fülep Péter Harth

Publication Name: Proceedings of the Mini Conference on Vehicle System Dynamics Identification and Anomalies

Publication Date: 2012-01-01

Volume: 2012-November

Issue: Unknown

Page Range: 379-386

Description:

There are two main areas highlighted in the paper concerning car body manufacturing: construction and design work or in other words functionality and aesthetics. The question is to be answered: Which is more important? The solution is untying this quasi contradiction, but it is not an easy task. The ergonomical and aesthetical demands are not unambiguous; they depend also on weather conditions, different anthropometrics, changeable conditions during operation, attitudes, traditions, mentalities, local and actual trends etc. Nowadays the external and internal design does not belong to the main constructor or automotive engineer. The major original equipment manufacturers (OEM) charge special designers to do such work similarly to the separated engine, axles, brake system, electric network design. Nevertheless there are many details that must fit together in the vehicle. As long as the different engineering interests can be harmonized in a rational way, in aesthetical and design questions tastes can be decisive beside rationality. This makes the decisions difficult. The GIST of the cooperation is that future automotive engineers must know the designer's way of thinking at least the main stream in order to consider and make good decisions.

Open Access: Yes

DOI: DOI not available

ASSESSING EMOTIONAL INTELLIGENCE IN HIGHER EDUCATION: POLICY RECOMMENDATIONS FOR KAZAKHSTAN’S EDUCATION SYSTEM

Laszlo Vasa Svetlana Kozhirova Anel A. Kireyeva Bakhtiyar Sabdenaliyev Gaukhar Kenzhegulova

Publication Name: Public Policy and Administration

Publication Date: 2024-01-01

Volume: 23

Issue: 4

Page Range: 490-507

Description:

Emotional intelligence (EI) shapes students’ academic success and life satisfaction, influencing broader educational outcomes. This study assesses EI and life attitudes among students in Kazakhstan and explores the relationship between these variables, providing policy recommendations for integrating emotional skills development into higher education. Using the Big-Five, the Bar-On Emotional Quotient Inventory, and the Lüscher color test, data were collected from 2019 to 2023. In the first stage (2019–2021), a pilot study was conducted with 504 participants, followed by the main study (2021–2023)which involved 4,027 participants. The results indicate that EI significantly correlates with life satisfaction, stress management, and leadership behavior, while age and gender show varying impacts. No direct correlation was found between year of study and EI. These findings suggest that policymakers should consider incorporating EI development into educational programs across all levels of higher education in Kazakhstan to enhance students’ academic and personal outcomes. Future research could explore the role of targeted educational interventions in improving long-term student success and professional development, with potential applications in other contexts.

Open Access: Yes

DOI: 10.13165/VPA-24-23-4-05

Advanced neutral alkali beam diagnostics for applications in fusion research (invited)

M. Berta G. Anda S. Bató M. Otte B. Tál D. Dunai T. Krizsanoczi P. Háček D. Refy M. Vécsei M. Aradi G. H. Hu G. I. Pokol M. Lampert J. Németh O. Asztalos S. Hegedus D. Nagy G. Petravich G. Demeter S. Zoletnik A. Bencze

Publication Name: Review of Scientific Instruments

Publication Date: 2018-10-01

Volume: 89

Issue: 10

Page Range: Unknown

Description:

Diagnosing the density profile at the edge of high temperature fusion plasmas by an accelerated lithium beam is a known technique since decades. By knowledge of the relevant atomic physics rate coefficients, the plasma electron density profile can be calculated from the relatively calibrated light profile along the beam. Several additional possibilities have already been demonstrated: Charge Exchange Resonance Spectroscopy (CXRS) for ion temperature/flow and Zeeman polarimetry for edge plasma current; therefore the Li-beam diagnostic offers a wealth of information at the plasma edge. The weaknesses of the method are the relatively faint light signal, background light, and technical difficulties of the beam injector which usually seriously limit the applicability. In this talk, we present systematic developments in alkali-beam diagnostics (Li, Na) for the injector and the observation system and detectors which resulted in strongly increased capabilities. Advanced systems have been built, and microsecond scale density profile, turbulence, and zonal flow measurement have been demonstrated. A novel edge current measurement technique has also been designed, and components have been tested with potential microsecond-scale time resolution. Additional possibilities of these advanced systems for spectral measurements (CXRS and various Zeeman schemes) are also discussed.

Open Access: Yes

DOI: 10.1063/1.5039309