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Publications - 6289

Introduce the term cognitive entity in information and communications technology investment analysis

Ferenc Erdos Gabor Kallos

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 217-222

Description:

Return on ICT investment analysis has become an essential task of finance function at corporations, let it be large multinational giants or small and medium-sized enterprises (SMEs). Besides the cost analysis, the benefit analysis is also a fundamental component of investment profitability calculations and decisions. This study introduces the term of cognitive entity in ICT productivity and investment analysis and focuses on the different approaches of cognitive entities' internal environmental effects.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390594

The role of the atomic force function in molecular mechanics simulations for carbon nanostructures

Ibolya Zsoldos T. Pataki

Publication Name: Iop Conference Series Materials Science and Engineering

Publication Date: 2013-12-01

Volume: 47

Issue: 1

Page Range: Unknown

Description:

Molecular mechanics studies were performed on structures consisting of Y junctions of carbon nanotubes. Tensile simulations were run on the same structure, wherein atomic force functions of various shape were used. According to the numerical test results the behavior of the structure, the failure site and the failure process could be determined irrespective of the shape of the force function. © Published under licence by IOP Publishing Ltd.

Open Access: Yes

DOI: 10.1088/1757-899X/47/1/012035

Doctoral symposium on recent advances in information technology

Thomas Corpetti Philippe Fournier-Viger Modesto Castrillon-Santana Nicolas Courty Milan Petrik Malgorzata Charytanowicz Szymon Lukasik David Gil Slawomir Zadrozny Yujiu Yang Krisztián Balázs A. Tormási Ferenc Lilik Dominika Golunska Piotr A. Kowalski Jaroslaw Arabas Piotr Kulczycki Radko Mesiar László T. Kóczy Krassimir T. Atanassov Bao Gang Hu Carles Noguera I Clofent

Publication Name: 2013 Federated Conference on Computer Science and Information Systems Fedcsis 2013

Publication Date: 2013-12-01

Volume: Unknown

Issue: Unknown

Page Range: 637

Description:

No description provided

Open Access: Yes

DOI: DOI not available

CO2 capture using blended amine − ionic liquid solvents: Thermodynamic modeling and process optimization

Teng Zhou Jean Pimentel Xuechong Ding Xingyang Li

Publication Name: Separation and Purification Technology

Publication Date: 2025-07-30

Volume: 362

Issue: Unknown

Page Range: Unknown

Description:

The hybrid ionic liquid (IL) − amine solvents have demonstrated high efficiency in CO2 capture. However, rigorous simulations of carbon capture processes employing IL-amine blended solvents have been scarce. This study presents detailed thermodynamic modeling and process simulations for carbon capture in the steel process and natural gas combined cycle (NGCC) power plant. We investigated two hybrid solvent systems, i.e., [BMIM][BF4]/PZ/MDEA and [BMIM][TF2N]/PZ/MDEA with the blended amine PZ/MDEA used as a benchmark. The phase equilibria of the CO2-PZ-MDEA-H2O-IL system was regressed with the NRTL model. The CO2 molar loading in the lean solvent (αlean) and mass fraction of ILs (xIL) in the mixture solvent were optimized to minimize the regeneration energy (Qreg) of the capture processes. The results indicate that the [BMIM][TF2N]/PZ/MDEA-based process is most energy-efficient (Qreg = 2.845 GJ/tCO2 at αlean = 0.14 and xIL = 1.0 wt%) for the steel plant and (Qreg = 2.749 GJ/tCO2 at αlean = 0.08 and xIL = 1.5 wt%) for the NGCC power plant. Compared to the PZ/MDEA-based benchmark process, IL's inclusion led to a 2.90 % and 0.11 % reduction in the regeneration energy for the steel process and NGCC power plant, respectively, demonstrating the benefit of introducing IL into the amine solvents for CO2 capture.

Open Access: Yes

DOI: 10.1016/j.seppur.2025.131649

Driver Clustering Based on Individual Curve Path Selection Preference

Ernö Horváth Gergo Igneczi Krisztian Nyilas Tamas Dobay

Publication Name: Applied Sciences Switzerland

Publication Date: 2025-07-01

Volume: 15

Issue: 14

Page Range: Unknown

Description:

The development of Advanced Driver Assistance Systems (ADASs) has reached a stage where, in addition to the traditional challenges of path planning and control, there is an increasing focus on the behavior of these systems. Assistance functions shall be personalized to deliver a full user experience. Therefore, driver modeling is a key area of research for next-generation ADASs. One of the most common tasks in everyday driving is lane keeping. Drivers are assisted by lane-keeping systems to keep their vehicle in the center of the lane. However, human drivers often deviate from the center line. It has been shown that the driver’s choice to deviate from the center line can be modeled by a linear combination of preview curvature information. This model is called the Linear Driver Model. In this paper, we fit the LDM parameters to real driving data. The drivers are then clustered based on the individual parameters. It is shown that clusters are not only formed by the numerical similarity of the driver parameters, but the drivers in a cluster actually have similar behavior in terms of path selection. Finally, an Extended Kalman Filter (EKF) is proposed to learn the model parameters at run-time. Any new driver can be classified into one of the driver type groups. This information can be used to modify the behavior of the lane-keeping system to mimic human driving, resulting in a more personalized driving experience.

Open Access: Yes

DOI: 10.3390/app15147718

Do Land Resources, Agriculture Exports, and Agriculture Growth Induce Agriculture-Related Greenhouse Gas Emissions: Novel Findings in the Lens of COP–28

Grzegorz Mentel Diogo Ferraz Irum Shahzadi Salahuddin Khan Yuriy Bilan

Publication Name: Land Degradation and Development

Publication Date: 2025-07-15

Volume: 36

Issue: 11

Page Range: 3858-3873

Description:

Globally, economies are highly concerned about the balance between climatic issues and attaining agricultural sustainability. However, empirical evidence regarding the nexus of agricultural sustainability, emissions, land use, and agricultural trade is scarce and requires appropriate policy-level attention. The current study examines the influence of land-use resources, agricultural exports, and foreign direct investment on agriculture-related greenhouse gas emissions in Brazil. Using various time series diagnostic measures on quarterly data from 1990Q1 to 2020Q4 reveals non-normality and a mixed order of stationarity in variables. The autoregressive distributed lag (ARDL) model and quantile ARDL approach are employed for comprehensive empirical analysis. The results assert that land resources and foreign investments are harmful to environmental sustainability, as they significantly enhance agricultural greenhouse gas emissions. Additionally, agricultural exports and green energy significantly contribute to emissions mitigation by tackling land-use and agricultural emissions in the short and long run. The results are robust across the ARDL and quantile regressions and pairwise granger causality. The study concludes that agricultural exports and land use are key factors inducing agricultural sustainability by inducing emissions. The study recommends increased spending on research and development, solar-based irrigation, and promotion of green energy projects. The study discusses novel findings and implications apropos land resources, foreign investments, agricultural exports, and emissions in the lens of COP 28.

Open Access: Yes

DOI: 10.1002/ldr.5604

Developed rapid and simple RP-HPLC method for simultaneous separation and quantification of bovine milk protein fractions and their genetic variants

G. Szafner Solveig Bukovics Judit Süle A. J. Kovács Székelyhidi Rita Katalin Szabó Henrietta Buzás

Publication Name: Analytical Biochemistry

Publication Date: 2022-12-01

Volume: 658

Issue: Unknown

Page Range: Unknown

Description:

The aim was to develop a reliable rapid reversed-phase high-performance liquid chromatography (RP-HPLC) method to simultaneously determine the main bovine milk protein fractions, including their genetic variants. Compared to the previous studies, our method is able to separate the main protein fractions within 20 min of total run time. The method validation consisted of testing repeatability, reproducibility linearity, repeatability, and accuracy. The procedure was developed using raw individual, bulk, and commercially available heat-treated cow milk samples. The RSD of peak areas ranged from 1.43 to 3.16% within analytical day and from 3.29 to 6.70% across analytical days. The method can be applied to investigate both raw and heat-treated milk samples.

Open Access: Yes

DOI: 10.1016/j.ab.2022.114939

The revenue diversification of top-tier higher education institutions

Zsolt Kohus Eszter Lukács Bálint Filep Sarolta Horváthné Szabó

Publication Name: Journal of International Studies

Publication Date: 2025-01-01

Volume: 18

Issue: 4

Page Range: 86-106

Description:

This study examines the revenue diversification of the Top 30 higher education institutions (HEIs) as identified in the 2025 Times Higher Education and QS World University Rankings. Faced with declining government appropriations, HEIs are strategically diversifying revenue streams. Our analysis of financial reports reveals substantial variability in revenue sources, with some institutions primarily relying on research grants, tuition, and government funding. In contrast, others prioritize income from endowments, services, or medical activities. While funding optimization strategies may prioritize single revenue sources for short-term convenience, our findings suggest they risk institutional fragility, highlighting the need for sustainable financial models that balance research productivity, teaching quality, and public service over the long term. This article emphasizes the vital importance of financial autonomy, which enables institutions to invest strategically in recruiting top academic and research staff, upgrading research infrastructure, and enhancing an institution’s overall performance. While strategic autonomy empowers institutions to achieve excellence and adapt flexibly to evolving societal needs, they must remain true to their core mission of public service as they diversify and optimize revenue sources.

Open Access: Yes

DOI: 10.14254/2071-8330.2025/18-4/5

The rise of interdisciplinarity: A new era in polymer research?

László Lendvai Alessandro Pegoretti

Publication Name: Express Polymer Letters

Publication Date: 2024-10-01

Volume: 18

Issue: 10

Page Range: 962-963

Description:

No description provided

Open Access: Yes

DOI: 10.3144/expresspolymlett.2024.73