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Publications - 6374

Psychological foundations of ambiguity in the hybrid workplace: The role of managerial risk-taking and AI-induced job insecurity

Mai Nguyen Bhumika Gupta Gábor Szábo-Szentgróti Rsha Alghafes Tuan Phong Nham Mai Nguyen

Publication Name: Acta Psychologica

Publication Date: 2026-02-01

Volume: 262

Issue: Unknown

Page Range: Unknown

Description:

In the modern ever-changing organizational environment, where hybrid workplace arrangement is becoming increasingly common, and artificial intelligence (AI) technology has been used widely, employees tend to face a situation characterized by ambiguity of work and it is difficult to perceive an understanding of role, expectations, and employment. The paper explores the interrelationship between task ambiguity, risk-taking by managers, AI-induced job insecurity, and employee outcomes in a hybrid working environment. This is based on Social Information Processing Theory where we advance a theoretical model that explores how workforce members actively learn and process information in their social context to get through ambiguity and foster resilience. The evidence of the proposed relationships is substantiated by three studies. Study 1 focuses on the way task ambiguity influences active lurking and also job engagement. Study 2 explores with the moderating factor on the relationship among the variables of task ambiguity, active lurking, and job engagement on managerial risk-taking. Study 3 examines how AI-induced job insecurity can moderate the link between task ambiguity and active lurking and job engagement. The results emphasize the need to ensure clear task specification, active lurking, management risk-taking and proactive efforts to reduce the issue of AI-induced job insecurity as factors that enhance employee engagement. The implications of the study are given and recommendations to conduct further research are outlined.

Open Access: Yes

DOI: 10.1016/j.actpsy.2025.106182

Spread of common ragweed (Ambrosia artemisiifolia l.) on arable land in the Žitný ostrov

Tomáš Vereš G. Pinke Anikó Farkas Zsolt Domonkos Veronika Szigeti Szabó Péter Reisinger Peter Tóth

Publication Name: Journal of Central European Agriculture

Publication Date: 2017-01-01

Volume: 18

Issue: 1

Page Range: 29-41

Description:

Common ragweed (Ambrosia artemisiifolia) is an invasive alien species indigenous to North America. Ragweed is a big threat to agriculture and has a serious impact on human health. The most important area with ragweed occurrence within Europe is Pannonian Plain in Central Europe. This research introduces for the first time the unique, direct broad-scale survey of A. artemisiifolia in relation to real-life occurrence and infestation in the field. To understand the distribution of ragweed in the territory the geospatial analysis was applied to create 2D map in ArcGIS environment. The field survey was undertaken during summer 2014 in the Žitný ostrov (Slovakia). The investigation revealed that spatial occurrence of A. artemisiifolia is not homogeneous and there is also striking territorial heterogeneity of infestation rate. Ragweed was observed at 80 (47.2%) out of 169 sites. The infestation of arable land (mostly stubbles) varied from weak infestation, 24 sites (1-30 plants*10 m-2) to heavy infestation, 26 sites (˃80 plants*10 m-2). The research on associated plant communities was also carried out. Stubble field’s vegetation was found to be highly species poor, on an average only 2.5 species*10 m-2. Among 40 recorded species the most frequent (noticed at 25% sites) were Datura stramonium, Chenopodium album, and Mercurialis annua. This broad-scale survey provides an overview and useful information on considerations needed to make decisions about ragweed control and potential future expansion. The presented study offers also inventory of ragweed frequency over the large area.

Open Access: Yes

DOI: 10.5513/JCEA01/18.1.1863

Surface Preparation of 3D Printed Battery Housing Materials for DIC Measurements

Szabolcs Fischer Szabolcs Szalai Brigitta Fruzsina Szívós

Publication Name: International Conference on Electrical Computer Communications and Mechatronics Engineering Iceccme 2023

Publication Date: 2023-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this study, several 3D-printable PLA (polylactic acid) materials that can also be used to produce battery housings are evaluated. Proper testing is essential to developing better prototypes and final products, and DIC deformation tests are frequently utilized. To be able to evaluate the deformations of various parts and components, the surface of the product under test is randomly speckled. In DIC measurements, however, the deformation is transmitted to the measuring system via the paint, so preparation and paint quality play a crucial role. This research is focused on this underrepresented area in the literature. This article evaluates the DIC applicability of the most commonly used surface cleaning materials and paints.

Open Access: Yes

DOI: 10.1109/ICECCME57830.2023.10252180

Application of Psychoacoustic Metrics in the Noise Assessment of Geared Drives

Krisztian Horvath Krisztián Horváth Krisztián Horváth

Publication Name: World Electric Vehicle Journal

Publication Date: 2025-11-01

Volume: 16

Issue: 11

Page Range: Unknown

Description:

Psychoacoustic metrics offer a valuable complement to traditional noise evaluation methods for gear transmissions, as they account for the human perception of sound quality rather than relying solely on physical measurements. While parameters such as overall sound pressure level (SPL) and spectral content quantify noise intensity and frequency distribution, they often fail to reflect subjective annoyance caused by tonal or high-frequency components common in gear systems. This review provides a structured overview of how psychoacoustic metrics—including loudness, sharpness, roughness, fluctuation strength, and tonality—are applied in the analysis of gear transmission noise. Relevant studies were identified through a comprehensive search across multiple scientific databases, with 54 meeting the inclusion criteria. The findings highlight both the benefits and limitations of these metrics, and present examples of their industrial application in automotive and mechanical engineering contexts. The review also identifies gaps in current research, particularly in integrating psychoacoustic evaluation with predictive modelling and machine learning, and suggests directions for future work.

Open Access: Yes

DOI: 10.3390/wevj16110611

Improved discrete bacterial memetic evolutionary algorithm for the traveling salesman problem

Peter Foldesi Boldizsar Tuu-Szabo Laszlo T. Koczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2017-01-01

Volume: 532

Issue: Unknown

Page Range: 27-38

Description:

In recent years a large number of evolutionary and other population based heuristics were proposed in the literature for solving NP-hard optimization problems. In 2015 we presented a Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) for The Traveling Salesman Problem. It provided results tested on series of TSP problems. In this paper we present an improved version of the DBMEA algorithm, where the local search is accelerated, which is the most time consuming part of the original DBMEA algorithm. This modification led to a significant improvement, the runtime of the improved DBMEA was 5– 20 times shorter than the original DBMEA algorithm. Our DBMEA algorithms calculate real value costs better than integer ones, so we modified the Concorde algorithm be comparable with our results. The improved DBMEA was tested on several TSPLIB benchmark problems and other VLSI benchmark problems and the following values were compared: - optima found by the improved DBMEA heuristic and by the modified Concorde algorithm with real cost values - runtimes of original DBMEA, improved DBMEA and modified Concorde algorithm. Based on the test results we suggest the use of the improved DBMEA heuristic for the more efficient solution of TSP problems.

Open Access: Yes

DOI: 10.1007/978-3-319-48517-1_3

COMPARISON OF THE MOLDING PARAMETERS EFFECTS ON METAL INJECTION MOLDED SPECIMENS IN THE REAL EXPERIMENTAL AND SIMULATION ENVIRONMENTS

Zoltán Weltsch György Ledniczky

Publication Name: Communications Scientific Letters of the University of Zilina

Publication Date: 2024-01-01

Volume: 26

Issue: 2

Page Range: B90-B98

Description:

This article presents a technology that is not widely known. Previous research has investigated the effect of metal injection molding parameters on product shrinkage. The technology is mostly limited by the variations caused by deformation, so it is of paramount importance to focus on shrinkage. Consequently, within this study the injection molding simulations with 17-4PH type material was performed and its results were compared to the previously determined curve characters. The results obtained allow conclusions to be drawn regarding the accuracy of the simulation. Changing the parameters of the injection molding process can significantly affect the shrinkage factor. Changes in mold temperature, melt temperature and holding pressure affect the product dimensions. These parameters are also modified in the simulation setup and compared to the previous real measurements.

Open Access: Yes

DOI: 10.26552/com.C.2024.018

From waste to wealth: innovations in the recovery of bioactive compounds from agro-food by-products

Tianduo Li Xiaodeng Yang Mojtaba Koosha Tarek Alshaal Ganwarige Sumali N. Fernando Attila Kiss B. G. Ranahansi Rangadharee Bandara

Publication Name: European Food Research and Technology

Publication Date: 2026-02-01

Volume: 252

Issue: 2

Page Range: Unknown

Description:

The valorization of food waste biomass for the extraction of bioactive compounds presents a sustainable solution to global food waste challenges while offering significant economic and environmental benefits. This review comprehensively examines advanced green extraction technologies such as ultrasound-assisted extraction (UAE), microwave-assisted extraction (MAE), supercritical fluid extraction (SFE), and enzyme-assisted extraction (EAE) for recovering polyphenols, carotenoids, flavonoids, and other high-value compounds from fruit, vegetable, cereal, and animal-derived waste. Highlighting optimized extraction parameters showed that modern techniques outperform conventional methods in yield, efficiency, and cost-effectiveness, with UAE reducing manufacturing costs by up to 84% compared to Soxhlet extraction. The review also addresses pretreatment strategies, purification innovations (e.g., flash chromatography), and emerging solvents like natural deep eutectic solvents (NADES) with lower environmental impact, higher efficiency, recyclability and biodegradability. Challenges such as contamination risks, temperature sensitivity, and scalability are critically analyzed, alongside future directions integrating nanotechnology, artificial intelligence, and hybrid extraction systems. By bridging gaps in waste classification, compound identification, and process optimization, this study underscores the potential of food waste as a resource for pharmaceuticals, nutraceuticals, and functional foods, aligning with circular economy goals and sustainable development.

Open Access: Yes

DOI: 10.1007/s00217-025-04943-3

Az alkoholfogyasztás okozta magyarországi egészségveszteségek mennyiségi vizsgálata

József Vitrai

Publication Name: Orvosi Hetilap

Publication Date: 2025-12-07

Volume: 166

Issue: 49

Page Range: 1949-1955

Description:

Introduction: Alcohol consumption poses a significant global public health and economic burden. In Hungary, it has long been a major contributor to health losses and health inequalities. Objective: The objective is to quantify alcohol-related health losses in Hungary using various indicators and social cost estimates, and to present these findings within an international context. Method: We utilized data from the WHO Global Health Estimates for the period 2000–2019, stratified by sex and age. Hungarian data were compared with the average for Central and Western Europe. Social costs were estimated for the 30–64 years age group based on unit costs from our previous studies, with subsequent correction applied to estimate the cost for the total population. Results: Alcohol consumption in Hungary decreased during the study period, stabilizing below the Central European average after 2011. Concurrently, health losses diminished: mortality losses by over 40%, years of life lost by half, and years lived with disability by 20%. Nevertheless, approximately 300,000 disability-adjusted life years were attributable to alcohol in 2019. The main causes of loss of mortality were malignant neoplasms and cirrhosis, while the causes of disability were primarily injuries and mental disorders. The estimated total social cost in 2019 was approximately 800 billion HUF, equivalent to 1.68% of the GDP. Discussion: Despite the reduction in health losses, data for Hungary and Central Europe remain significantly higher (mortality losses are half the magnitude) than Western European values. The magnitude of the estimated 800 billion HUF social cost, compared to the estimated 250 billion HUF in state revenue from alcohol sales, clearly demonstrates the economic imbalance associated with alcohol distribution. Conclusion: The observed decrease in consumption indicates the effectiveness of current interventions. However, due to the high health and social burden, continued restrictive policies and improved treatment success rates for alcohol-related diseases (especially neoplasms and digestive diseases) are warranted. Orv Hetil. 2025; 166(49): 1949–1955.

Open Access: Yes

DOI: 10.1556/650.2025.33429

Potential of Producing Green Hydrogen Using Solar Power Plants: The Role of PEM Technology in the Improvement of Photovoltaic Schedule Keeping in Hungary

Henrik Zsiboracs Nóra Hegedűsné Baranyai András Vincze Virag Meszaros Gábor Pintér

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 925-930

Description:

Similarly to many countries of the world, photovoltaic systems play an increasingly important role in electricity generation in Hungary, contributing greatly to the climate, environmental and sustainability goals of the energy transition. As a result of numerous factors, photovoltaic technology is used not only more and more widely but also in increasingly decisive quantities and proportions. Due to the intermittent nature of solar energy, photovoltaic generation varies both in space and over time and consequently poses a serious challenge to system management, especially due to dynamically developing capacities. The imbalances caused by uncertainty cannot be addressed by scheduling alone without the possibility of energy storage, which, with its numerous services and applications, is able to provide the flexibility necessary for the smooth operation of the system. Among the available energy storage systems, power-to-gas technology (i.e. converting electricity produced from renewable energy sources into a gaseous energy carrier) is emerging as a practical solution with high potential for the integration of variable renewable energy sources. The gas produced in this way, which can be stored and transported, can be used in many areas and sectors of energy use, such as transport, home heating and cooling and industrial processes, and can now also provide an effective solution for grid stability and scheduling. The aim of the present research is to present the potential amount of green hydrogen that can be produced by proton-exchange membrane technology (PEM) in connection with schedule-related downregulation, considering the climatic conditions and the total photovoltaic power plant capacity in Hungary. The novel, practical benefit of the research lies in the fact that it determines practically relevant characteristics in relation to the interconnections of solar power plants in Hungary and power-to-gas technology for transmission system operators, the key players of the energy market and decision-makers. This knowledge will not only help companies investing in solar power plants and power-to-gas technology from an economic point of view but can also contribute to the market-related development of hydrogen production solutions related to photovoltaic technology. Overall, P2G offers the ideal potential to convert the electricity produced by solar power plants that need to be downregulated, i.e. comprises a surplus in terms of scheduling, into green hydrogen, which is also suitable for long-term seasonal storage.

Open Access: Yes

DOI: 10.3303/CET24114155