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Publications - 6278

Effect of fermented liquid feeds on production parameters and gut microbiota composition of weaned piglets and growing pigs

Tóth Tamás Alpár Botond László Varga

Publication Name: Magyar Allatorvosok Lapja

Publication Date: 2022-01-01

Volume: 144

Issue: 8

Page Range: 463-472

Description:

In their review, the authors present the results of research evaluating the effect of fermented liquid feed on the performance and digestive health of weaned piglets and fattening pigs. Based on the available literature, it is advisable to carry out controlled fermentation instead of spontaneous fermentation, because by inoculating the feed / raw materials with specific lactic acid bacteria, the fermentation process goes in the right direction, lower pH values can be achieved within the same timeframe, which all help to control the acid-sensitive pathogenic microbes. The fermentation of only certain raw materials, as opposed to a complete diet, has the advantage of better controllability, and the incorporation of these fermented end products into final diets provides farms with increased flexibility. During fermentation, the particle size of the feed / raw materials and the levels of antinutritive substances are reduced, thereby increasing their digestibility. Feeding studies have shown that improvement in nutrient utilization is primarily due to better bioavailability of nutrients, as opposed to increased feed intake. Several works have demon-strated that fermented liquid feeds significantly reduce the pH of gastric juice, Salmonella spp. levels and the chance of developing diarrhoea caused by coliforms in piglets. Fermented feeds support gut health, thus also playing an immunomod-ulatory role. Taking all this into account, the authors believe that fermented liquid feeds in nutrition of pigs may be an effective alternative after the antibiotic reduction provisions come into force in the European Union in 2022.

Open Access: Yes

DOI: DOI not available

How to Create Organizational Resilience and Adaptability Through Embedded Plasticity-Rigidity Cycles

Tamás Hartványi István Fekete

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 13-18

Description:

This paper explores how organizational network structures influence cascading failure propagation and how embedded plasticity–rigidity cycles can create resilience and adaptability. Using real industrial examples from IT-telecom manufacturing, the study demonstrates how small disturbances in highly connected, overly lean (anorexic) supply chains can escalate into large-scale cascading failures, leading to “bulimia states” characterized by simultaneous excesses and shortages. The research introduces the concept of embedded plasticity – the deliberate integration of adaptable nodes and teams at multiple organizational levels – to dissipate disruptions and maintain performance stability. By analyzing typical network motifs such as bi-fans and bi-parallels, the authors identify the structural sources of ambiguity and competition that amplify systemic fragility. The framework includes the design of dual plastic-rigid team structures that align internal dynamics with external fluctuation patterns. These embedded plasticity cycles enable swift adaptation without compromising process quality or productivity. Appropriate levels of plasticity, strategically distributed across organizational sub-networks, are key to ensuring the robustness, flexibility, and continuous learning of complex, interconnected care systems.

Open Access: Yes

DOI: 10.3303/CET25121003

Optimizing Parameter Sets for Laser-Textured Piston Rings Using Design of Experiments and Multibody Dynamics Calculations

András Lajos Nagy Gabor Laki Dominika Pintér László Boros

Publication Name: Coatings

Publication Date: 2025-05-01

Volume: 15

Issue: 5

Page Range: Unknown

Description:

Friction and wear reduction in internal combustion engines are crucial for improving efficiency and durability. This study investigates the effect of microtextured surfaces on friction power loss in an engine’s piston ring-cylinder system. A numerical analysis was conducted on piston rings equipped with dimple-shaped microtextures using AVL Excite Piston & Rings, modelling a hard chromium-coated piston ring and a cast iron cylinder. The goal was to determine the optimal surface texture parameters that minimize friction power loss under typical urban driving conditions with SAE 0W-30 oil. A two-step Design of Experiments (DoE) approach was employed, where the first step involved mapping the effects of texture parameters, i.e., dimple depth (A = 0.5, 1, 1.5 µm), dimple distance (B = 120, 160, 240 µm), and dimple diameter (C = 50, 60, 70 µm), to identify influential factors. The second step aimed at locating a parameter configuration with minimal friction power loss. The results demonstrated that the optimized texture parameters can significantly reduce friction power loss. The lowest friction power loss of 8.96 W was achieved with a dimple depth of 2 µm, distance of 80 µm, and diameter of 60 µm, which contributed to an 8.3% improvement over the reference surface. The model built to describe the investigated texturing approach exhibited a strong correlation with an R2 value of 0.93, and the deviation between predicted and measured values was below 1%. Future work will involve tribometer tests to experimentally validate the optimized parameters and confirm the simulation results.

Open Access: Yes

DOI: 10.3390/coatings15050528

Decoding Cybervetting Through the Lens of Information Management: A Qualitative Study on Recruiter Practices in Digital Talent Acquisition

Varun Chotia Norah Albishri Nidhi Sahore Aradhana Galgotia Pap Martin Felicián

Publication Name: Journal of Global Information Management

Publication Date: 2025-01-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

Cybervetting practices are witnessing an exponential increase in its application across industries, however, the scholarly literature on the concept is limited. The present qualitative study seeks to synthesize the definition and concept of cybervetting in the talent acquisition landscape. There is limited holistic understanding about the cybervetting process model and its various stages followed by organizations. Further, the study seeks to identify from recruiters the kind of information extracted from the Internet and social media platforms and the consequent positive and negative cues inferred to assess the suitability of job seekers. To address these issues, a longitudinal qualitative study was undertaken, involving two waves of data collection from recruiters (HR professionals) to understand these dynamics.

Open Access: Yes

DOI: 10.4018/JGIM.387413

Ethical leadership and organizational resilience: exploring the interconnected dynamics

Gábor Szábo-Szentgróti Nikolett Gyurián Nagy Mohammad Reza Onsori

Publication Name: International Journal of Ethics and Systems

Publication Date: 2025-08-15

Volume: 41

Issue: 3

Page Range: 727-760

Description:

Purpose The purpose of this paper is to provide insights into the mechanisms through which ethical leadership impacts organizational resilience and fill the gap in the existing literature that has largely studied the two variables in isolation. Design/methodology/approach This study uses a systematic literature review, using peer-reviewed articles focused on ethical leadership and organizational resilience published between 2018 and 2024. This study uses databases like Scopus, Google Scholar and Web of Science and keywords including “ethical leadership,” “organizational resilience” and their intersections. Findings The findings of this study are based on the review of 14 selected papers. The review found that ethical leadership significantly enhances organizational resilience by nurturing organizational culture (organizational learning culture, ethical culture, ethical reporting, system thinking and ethical climate), promoting organizational flexibility (ability to adapt and ability to innovate) and positively impacting human capital (employee ethical conduct, trust, readiness to change, citizenship behavior, creativity and commitment). Key findings indicate that ethical leaders influence the organizational culture, supporting resilience strategies. Research limitations/implications This study’s limitations include a limited literature search, restricted to certain databases and peer-reviewed articles in English. The focus on studies conducted between 2018 and 2024 and the methodological diversity of the studies further limited the ability to draw overall conclusions. Originality/value This study’s originality lies in the lack of studies explicitly linking ethical leadership and organizational resilience. Most studies implicitly suggest that ethical leadership promotes organizational resilience through isolated mediating factors. This study contributes to advancing theoretical mechanisms through which ethical leaders impact resilience and suggests practical applications in organizations that want to achieve sustainability in turbulent times.

Open Access: Yes

DOI: 10.1108/IJOES-08-2024-0260

Cloud Model-Based Improved Evidence Theory and Its Applications to Power Systems

Tomas Baležentis Jinming Zhou Dalia Streimikiene Hongqing Zhang Qin Zhou

Publication Name: Romanian Journal of Information Science and Technology

Publication Date: 2026-01-01

Volume: 29

Issue: 1

Page Range: 41-52

Description:

In order to cope with the complex features of ambiguity, randomness and uncertainty in multi-attribute decision-making problems, this paper introduces the DempsterShafer evidence theory in the framework of cloud modeling. First, a cloud model is used to calculate the affiliation of each evaluation metric, which was subsequently converted to a basic confidence assignment function. Second, the game theory idea is borrowed to combine the dynamic and static weights of the evidence in the game, to improve the traditional evidence theory and realize the effective integration of information. The idea of average fit is identified again, and a comprehensive evaluation conclusion is drawn by comparing the closeness of the evaluation object to the optimal and worst solutions. The new electric power system investment project is illustrated, and the applicability of the algorithm is verified.

Open Access: Yes

DOI: 10.59277/ROMJIST.2026.1.04

Analysis and Prediction of Traffic Conditions Using Machine Learning Models on Ikorodu Road in Lagos State, Nigeria

Majid Movahedi Rad Udeme Udo Imoh

Publication Name: Infrastructures

Publication Date: 2025-05-01

Volume: 10

Issue: 5

Page Range: Unknown

Description:

Traffic counts are essential for assessing road capacity to provide efficient, effective, and safe mobility. However, current methods for generating models for traffic count studies are often limited in their accuracy and applicability, which can lead to incorrect or imprecise estimates of traffic volume. This study focused on analyzing and predicting traffic conditions on Ikorodu Road in Lagos State. The analysis involved an examination of historical traffic data, specifically focusing on daily and hourly traffic volumes. The prediction involved the use of machine learning models, including decision trees, gradient boosting, and random forest classifiers. The results of this study revealed significant variations in traffic volume across different days of the week and times of the day, indicating peak and off-peak periods. The study also highlighted the need for a more comprehensive approach that includes additional factors, such as weather conditions, road work, and special events, which could significantly impact traffic volume.

Open Access: Yes

DOI: 10.3390/infrastructures10050122

Creating and using Key Network-Performance Indicators to support the design of change of enterprise infocommunication infrastructure

László Muka Gergely Muka

Publication Name: Simulation Series

Publication Date: 2012-12-10

Volume: 44

Issue: BOOK 12

Page Range: 176-181

Description:

Nowadays, an increasing number of organisations have to make decisions about the change and optimization of their enterprise infocommunication infrastructure. The usual approach of performance (using QoS, SLA) is not user (enterprise) centred and complex enough to help ICT (Information and Communication Technology) experts to support management decisions. The paper proposes a strategic management inspired, user centred and complex method of creating KNPIs (Key Network-Performance Indicators) for the measurement. In the paper, a case study is introduced to illustrate the creation and the use of KNPIs: alternatives are generated for the change, and using KNPIs, the feasibility, capacity, quality and financial aspects - integrating also the business impact and the influence of user experience - of the change of the enterprise infocommunication infrastructure are examined and compared. In the case study, to the analysis and prediction of the necessary enterprise network capacities, network traffic simulation is used. Financial modelling is also applied in comparing the alternatives.

Open Access: Yes

DOI: DOI not available

Are hungarian investors reluctant to realize their losses?

István Joó Mihály Ormos

Publication Name: Economic Modelling

Publication Date: 2014-01-01

Volume: 40

Issue: Unknown

Page Range: 52-58

Description:

We examine whether Hungarian investors liquidate their winning investments too early and close their losing positions too late. We analyze 130 university students' trading activity for 2009 and 2010. We investigate the disposition effect by four distinct methodologies: by the realized and non-realized gains and losses; by comparing the length of the holding periods; by analyzing the whole length of open positions and by comparing the performance of the transactions. We discover that Hungarian investors exhibit a disposition effect that worsens their investment performance in general. According to our results, the investors time their sale and purchase orders inaccurately. © 2014 Elsevier B.V.

Open Access: Yes

DOI: 10.1016/j.econmod.2014.03.018