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Publications - 6289

In-Silico Validation of Insulin Sensitivity Prediction by Neural Network-based Quantile Regression

B. Benyo J. Geoffrey Chase Bálint Szabó K. Kovacs Omer S. Alkhafaf Ameer B. Alsultani Alaa N. Roel Petra Pintár Ákos Szlávecz Béla Paláncz

Publication Name: IFAC Papersonline

Publication Date: 2024-09-01

Volume: 58

Issue: 24

Page Range: 368-373

Description:

High blood glucose levels and stress-induced hyperglycemia are common issues in intensive care units (ICU). Controlling blood glucose levels is crucial but challenging due to patient-specific variability. This challenge was addressed by developing model-based control protocols, which rely on identifying and predicting the patient-specific metabolic state. This study presents the in-silico simulation-based evaluation of a new artificial neural network-based insulin sensitivity (SI) prediction method. The models were trained on a dataset collected during clinical treatment using the stochastic-targeted (STAR) protocol and evaluated by simulating the clinical interventions on virtual patients created from retrospective clinical data. The results show the new models could be safely applied for SI prediction. Furthermore, the adopted method had very similar accuracy in the overall comparison of cohorts, with only minor differences noted in hypoglycemia events.

Open Access: Yes

DOI: 10.1016/j.ifacol.2024.11.065

According to Whose Morals? The Decision-Making Algorithms of Self-Driving Cars and the Limits of the Law

István Lakatos Lea Pődör

Publication Name: Future Transportation

Publication Date: 2026-02-01

Volume: 6

Issue: 1

Page Range: Unknown

Description:

The emergence of self-driving vehicles raises not only technological challenges, but also profound moral and legal challenges, especially when the decisions made by these vehicles can affect human lives. The aim of this study is to examine the moral and legal dimensions of algorithmic decision-making and their codifiability, approaching the issue from the perspective of the classic trolley dilemma and the principle of double effect. Using a normative-analytical method, it explores the moral models behind decision-making algorithms, the possibilities and limitations of legal regulation, and the technological and ethical dilemmas of artificial intelligence development. One of the main theses of the study is that in the case of self-driving cars, the programming of moral decisions is not merely a theoretical problem, but also a question requiring legal and social legitimacy. The analysis concludes that, given the nature of this borderline area between law and ethics, it is not always possible to avoid such dilemmas, and therefore it is necessary to develop a public, collective, principle-based normative framework that establishes the social acceptability of algorithmic decision-making.

Open Access: Yes

DOI: 10.3390/futuretransp6010005

Systematic generation of flexible heat exchanger networks with minimum utility consumption

Ákos Orosz Bing Shen How Jean Pimentel Petar Sabev Varbanov Ferenc Friedler

Publication Name: Thermal Science and Engineering Progress

Publication Date: 2026-02-01

Volume: 70

Issue: Unknown

Page Range: Unknown

Description:

Heat exchanger network (HEN) synthesis is a topic of high importance, encompassing several solution approaches and problem aspects. One such aspect crucial to industrial applications is flexibility, since real systems often experience variations of certain parameters, e.g., inlet temperatures or flowrates. Decades of research have revealed numerous methods for analyzing the flexibility of a given heat exchanger network. Meanwhile, the synthesis of flexible HENs continued to prove to be a severely difficult task, especially since handling the parameter deviations should not compromise the high level of heat integration. This work introduces a novel direction for synthesizing flexible HENs by combining flexibility analysis methods with P-graph-based, exhaustive, combinatorial network generation. The method generates all feasible networks that satisfy both the structural criteria and the maximum energy recovery over the entire variation region, and presents them ordered by capital cost. This first iteration of the work focuses on variations in inlet stream temperatures. This allows proving the validity of the underlying concepts by generating HENs that achieve minimum utility consumption for the entire range of temperature variations. The capability to generate multiple suitable networks is demonstrated through a case study, where 429 feasible networks were generated, which are all capable of achieving maximum heat integration within the parameter variation region. For the best generated design options, a 4–6% increase in capital cost compared to the base case is sufficient to satisfy the flexibility requirements.

Open Access: Yes

DOI: 10.1016/j.tsep.2026.104490

Design and Development of a Text-to-Speech Synthesizer for Afan Oromo

Tamrat Delessa Chala Ashenafi Chalchisa Guta Muluken Hussen Asebel

Publication Name: SN Computer Science

Publication Date: 2022-09-01

Volume: 3

Issue: 5

Page Range: Unknown

Description:

Speech is one of the natural ways of communication between humans, later extended as a means for human–computer interaction. It helps visually impaired people to read electronic texts and is used in information retrieval and language education. This paper proposed the development of a text-to-speech synthesizer for Afan Oromo (Oromo Language), using unit selection speech synthesizer approaches. Although several works have been conducted in the area of text-to-speech synthesis for technologically favored languages for many years, every language has its own unique features. So, speech synthesizer systems developed for one language cannot be used for another language, because the structures of one language are not presumably representative of others. It is clear that each program is based on the system corresponding to the phonetic rules of a certain language. Besides, the existing text-to-speech synthesizer for Afan Oromo was reviewed in this study and the result of developed prototype results are showing promising, however, still, their performance needs a lot of improvement in terms of intelligibility and naturalness using novel approaches and quality of corpus. Therefore, this research was initiated to develop the possibility of developing a prototype text-to-speech synthesizer to improve the performance of the text-to-speech synthesizer. In this study, Afan Oromo corpus was collected from genuine sources and prepared speech datasets both text and audio in collaboration with Afan Oromo experts. The performance of the synthesizer was tested by proper users for its intelligibility and naturalness using Mean Opinion Scale (MOS). The obtained result of naturalness of the prototype is 4.44 (very good) out of 5, which indicated that the result obtained is encouraging and better performance than the existing TTS of Afan Oromo in terms of intelligibility and naturalness. But the result scored in terms of intelligibility still needs further work. The main challenge is Afan Oromo has many dialects, so preparing a balanced text corpus from each dialect is very tough. Moreover, enhancement of the work is predicted to bring a reasonable level of intelligibility to the system.

Open Access: Yes

DOI: 10.1007/s42979-022-01306-7

SUSTAINABLE ECONOMIC GOALS BASED ON DETERMINANTS OF RESOURCE PRODUCTIVITY IN THE NETHERLANDS AND HUNGARY

Laszlo Vasa Botond Géza Kálmán Szilárd Malatyinszki

Publication Name: Environmental Economics

Publication Date: 2025-01-01

Volume: 16

Issue: 1

Page Range: 114-128

Description:

Resource productivity has become an important indicator of sustainable economic growth in a situation when natural resources are becoming scarce and environmental stress is growing. This paper examines the drivers of resource productivity in the case of the Netherlands and Hungary, two countries featuring diversified economies and contexts. This paper evaluates the contribution of waste management, renewable energy sources, human capital, investment, and innovation to sustainability by adopting a combined methods approach. Data from Eurostat and ODYSSEE databases, covering the period from 2011 to 2021, were analyzed using time series comparison and structural equation modeling (SEM). The results indicate that factors such as employment rate, gross fixed capital formation (GFCF), waste recycling, and renewable energy significantly influence resource productivity. The results indicated absolute decoupling for the Netherlands, represented by a 40% increase in productivity with an 11% reduction in materials. In comparison, Hungary recorded relative decoupling with GDP and material consumption increasing by about 49% and 37%, respectively. These findings underpin the importance of tailored policies for the enhancement of resource efficiency and sustainable development.

Open Access: Yes

DOI: 10.21511/ee.16(1).2025.09

Measurement and Analysis of MPT Multipath Throughput in Wire Channels

Naseer A. Jabbar Gábor Lencse

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

There is a significant growth in the use of the current intelligent and portable devices such as smartphones, laptops, and tablets that result in several network interfaces and various potential paths for communication. However, the mechanism used today via the Internet uses only one path for a communication session. This paper presents multipath throughput tests for the MPT network layer multipath communication library, a novel and promising solution for real-time transmission based on GRE-in-UDP encapsulation that provides an IPv4 or IPv6 tunneling (logical interface). We investigate the efficiency of channel capacity aggregation of MPT in dealing with physical paths via wired channels and test the cases when the physical paths have the same speed or radically different speeds.

Open Access: Yes

DOI: 10.1109/ICECCME55909.2022.9987956

EU air passenger rights: challenges and legal developments

Ildikó Ernszt Viktória Kundi

Publication Name: International Journal of Tourism Policy

Publication Date: 2025-01-01

Volume: 15

Issue: 5

Page Range: 426-439

Description:

This paper examines the terms and conditions of six major airlines operating in Europe, focusing on consumer protection and air passenger rights. It analyses how key information, such as policies on baggage, rebooking, and refunds, is presented on airline websites, and evaluates the clarity and accessibility of this information for passengers. The research also reviews recent legal developments in the European Union, particularly those concerning delays and market practices. It identifies gaps in consumer protection by assessing airline communication practices and the broader regulatory framework, and concludes by offering recommendations to enhance transparency and strengthen passenger rights in European air travel.

Open Access: Yes

DOI: 10.1504/IJTP.2025.149782

Experimental Investigation of the Friction Modifying Effects of Different Nanoforms of Graphene Additives in Engine Lubricating Oil

Cs Tóth-Nagy I. Szabó

Publication Name: Fme Transactions

Publication Date: 2022-01-01

Volume: 50

Issue: 2

Page Range: 248-259

Description:

This article presents the results of an experimental investigation of different nanoforms of graphene used as a nano additive in engine lubricating oil. The experiments were carried out on a pin-on-disc tribometer at the Department of Internal Combustion Engines and Propulsions at Széchenyi István University. The paper introduces the experimental equipment and the experimental method and presents the research findings. The paper concludes that fullerene can decrease friction by 7% on average when used as a nano additive in engine lubricating oil. Furthermore, fullerene did not present a sedimentation problem when used as an additive up to 0.25 wt% in lubricant instead of graphene and multiwalled carbon nanotubes. The paper attempts to explain the friction decreasing effect and the possible roles of carbon nano additives in tribological systems.

Open Access: Yes

DOI: 10.5937/fme2201248T

Condition monitoring of vibration at weak parts of rail for ballasted railway tracks in Iran

Farshad Astaraki Majid Movahedi Rad Ali Taheri Milad Kazemian

Publication Name: Journal of the Korean Society for Railway

Publication Date: 2021-06-01

Volume: 24

Issue: 6

Page Range: 544-551

Description:

Vibration monitoring has become important in railway tracks for many purposes. One of the most important purposes is to prevent exceeding limits of induced vibration to adjacent residential buildings. In the current study, to measure the level of vibration, a field investigation is carried at three critical positions including a curve, a fishplate and a deflected rail weld. The field study is an old ballasted railway track located at the critical /one of the entrance of Mashhad Railway station in Iran. In this regard, three distinct field tests are performed using accelerometer sensors and the obtained data arc analyzed and assessed. Besides this, vibrations at 5 and 10 m-distancc from the track arc also considered and rccordcd. As the main achievement, results show that induced vibration levels arc highly dependent on the condition of contact surface between wheel and rail

Open Access: Yes

DOI: 10.7782/JKSR.2021.24.6.544