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Publications - 6374

Enhancing flow in remote work: the influence of IT consumerization

Jessica Lichy Vincent Dutot Geshwaree Huzooree Melina Doargajudhur Zuberia Hosanoo

Publication Name: Management Decision

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Purpose – The widespread adoption of information and communication technologies (ICT) post pandemic has reshaped remote work, yet its implications for employee well-being and work outcomes remain inconclusive. This study proposes a research model to examine how IT consumerization influences employees’ flow, a state of control, enjoyment and focus on work. Design/methodology/approach – Grounded in the job demands-resources (JD-R) model theory. This study employs structural equation modeling (SEM) to analyze survey from 476 full-time remote workers across various sectors in Mauritius, a developing economy where IT consumerization has surged to support remote connectivity. Findings – The results highlight IT consumerization as a “double-edged sword”, enhancing autonomy while simultaneously generating techno-pressure. However, autonomy buffers the negative effects of techno-pressure, ultimately improving flow. Techno-pressure, autonomy and work-life conflict serve as mediators, deepening the understanding of how IT consumerization impacts flow. Practical implications – Practical implications are suggested for organizations seeking to optimize remote work remote conditions. Strategies that balance autonomy and mitigate techno-pressure can improve employees’ flow in remote work environments. Originality/value – This research contributes to the telework literature by examining IT consumerization within remote work settings, particularly in a developing economy context. By highlighting its dual role as both a resource and a demand, the study enriches understanding of its impact on flow.

Open Access: Yes

DOI: 10.1108/MD-01-2025-0120

Modelling optimal investment planning for household photovoltaic and battery systems under dynamic electricity market conditions

Botond Bertok Márton Frits D. J.S. Chong

Publication Name: Discover Sustainability

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

Capacity sizing and calculating cost savings for residential households in a rapidly evolving energy market, influenced by fluctuating electricity prices and changing government incentives, is a highly complex problem. The key challenges stem from multiple interacting factors, including retail electricity prices, the desired payback period, household size, applicable electricity schemes, and the capacity factor of the photovoltaic (PV) system. The nominal power output of the solar energy system is constrained by both the specifications and the number of installed inverters and PV panels. As solar generation is intermittent and non-dispatchable, it is inherently weather-dependent and often unable to align with the dynamic fluctuations in household electricity consumption. From a financial modelling perspective, the length of the accounting period directly determines the time resolution of the model, influencing both the accuracy of cash flow estimation and investment decision-making. The proposed two-level investment planning model is based on the process network synthesis approach. At the upper level of the process model, solar generation technologies, including inverters and solar panels, are technically and economically assessed. At the lower level, which represents the load consumption side, the periodical energy balances for production, storage, demand, and purchase are considered. In order to accurately evaluate the solar energy system, the model is developed with both a monthly framework and a detailed hourly framework. The time resolution allows the model to account for grid intake, electricity sold, and storage inventory conditions over the defined periods, ultimately providing the optimal sizing for a solar system equipped with battery storage. Case studies are conducted to investigate the effects of household size, extended payback periods, varying retail electricity prices, and grid reliability. These scenarios demonstrate the key parameters that significantly influence the economic feasibility and optimal sizing of the solar energy system, which are discussed in detail in this paper.

Open Access: Yes

DOI: 10.1007/s43621-026-02683-2

Hungarian Territorial Changes and Nationality Issues Following World War I

Mónika Ganczer

Publication Name: Hungarian Yearbook of International Law and European Law

Publication Date: 2020-01-01

Volume: 8

Issue: 1

Page Range: 120-135

Description:

In the aftermath of World War I, Hungary had to relinquish approximately two-thirds of its former territory and over half of its population under the terms of the Trianon Peace Treaty of 4 June 1920. This inevitably brought about a change in the nationality of persons pertaining to territories transferred to other states. However, the interpretation and implementation of articles concerning nationality were highly ambiguous. For example, the rights of citizenship in a commune, the so-called pertinenza, was not defined in the peace treaty, although the determination of affected persons and beneficiaries of the right of option was explicitly based on that particular criterion. Hence, the fate of these individuals largely depended on the domestic legal regulation and the subjective treaty interpretations of successor states. The application of treaty provisions was not always in conformity with the text, which sometimes proved advantageous, other times disadvantageous for the affected persons. This study seeks to explore the theoretical background, the past and present interpretation, the practical application and the judicial treatment of articles concerning nationality in the Trianon Peace Treaty. The paper also exposes the major problems and shortcomings of the Treaty and makes suggestions for an appropriate wording and adequate interpretation of relevant treaty provisions. Furthermore, in order to provide a full picture of how territorial changes following World War I affected the nationality of millions of individuals, the study takes into consideration other contemporary international instruments with a bearing on the change of nationality or its consequences.

Open Access: Yes

DOI: 10.5553/HYIEL/266627012020008001008

Multi-robot cooperation by fuzzy signature sets

Áron Ballagi Ĺaszĺo T. Ḱoczy

Publication Name: Imcic 2010 International Multi Conference on Complexity Informatics and Cybernetics Proceedings

Publication Date: 2010-01-01

Volume: 2

Issue: Unknown

Page Range: 154-159

Description:

This paper presents a novel method for control cooperating robots without any explicit communication line. Fuzzy signatures are used as complex state description method for intention guessing and action selection. Finally a possible cooperative robot application on a realistic example with missing data components will be shown.

Open Access: Yes

DOI: DOI not available

ANALYTICAL APPROACHES TO DESCRIBE WEAR IN TOTAL KNEE REPLACEMENTS: POTENTIALS AND LIMITATIONS

Gusztáv Fekete

Publication Name: Iet Conference Proceedings

Publication Date: 2025-01-01

Volume: 2025

Issue: 17

Page Range: 39-43

Description:

Various types of wear mechanisms (three-body wear, delamination, pitting, abrasion, etc.) can occur between the polymer-metal interface of total knee arthroplasties. In most cases, the mechanism of these types of wear has only been experimentally verified and described. It must be noted that analytical description is not yet available for the majority of wear types. An exception among these types is abrasive wear, for which a number of analytical studies have been developed. This kind of wear can be approximated mathematically by the so-called Archard equation. It should be noted that, due to the complex motion of the knee joint, the original Archard equation must be extended by several parameters in order to adequately describe the wear process. Such parameters are the cross shear ratio, the coefficient of friction or the slide-roll ratio. The present study gives a broad overview of the currently available analytical wear models and also provides further suggestions on how to bring these models closer to reality.

Open Access: Yes

DOI: 10.1049/icp.2025.2648

KEY CHARACTERISTICS OF FAMILY-FRIENDLY CITIES: A REVIEW

Anna Pátkai Bende

Publication Name: Theoretical and Empirical Researches in Urban Management

Publication Date: 2023-02-01

Volume: 18

Issue: 1

Page Range: 74-84

Description:

This paper describes the features that make a city „family-friendly”. The actuality of the topic is given by the fact that the preferences of some young parents for choosing a place of living have changed in recent years, and families increasingly want to live in cities, close to urban cores. The study reviews the main characteristics of family-friendly cities in the light of some initatives aimed at creating family-friendly cities. It reveals the aspects of UNICEF’s „Child-Friendly Cities Initiative”, some American approaches and strategies for creating family-friendly environment, and the criteria for joining the „European Network of Family-Friendly Municipalities”. Based on all the above, the study summarizes the key features of family-friendly urban development. In the author's interpretation, creating family-friendly cities means building a sustainable community that integrates the environmental, social and economic needs of the families living there. It is a multifaceted task which can only be realized within the framework of a long-term development strategy. The author of the study emphasizes the role of cooperation between municipalities, local companies, civil society, as well as the importance of involving families in urban planning and development process.

Open Access: Yes

DOI: DOI not available

An insightful multicriteria model for the selection of drilling technique for heat extraction from geothermal reservoirs using a fuzzy-rough approach

Daekook Kang Dragan Pamucar Samayan Narayanamoorthy Krishnan Suvitha Michael Sandra Vladimir Simic

Publication Name: Information Sciences

Publication Date: 2025-01-01

Volume: 686

Issue: Unknown

Page Range: Unknown

Description:

Geothermal energy stands out as an exceptional renewable resource for power generation, offering a consistent power production without the intermittency issues. Despite its potential to deliver a consistent supply of electricity on demand, geothermal adoption is hindered due to substantial costs. Utilising the most effective drilling method can alleviate this challenge by boosting efficiency and reducing operational costs. The primary goal of this study is to identify the best drilling method for extracting heat from geothermal reservoirs. This optimised approach facilitates better access to geothermal reservoirs, leading to increased heat recovery rates and improved project viability. Traditional methods often fall short in evaluating optimal drilling alternatives due to uncertainties. To address this, our research introduces an innovative paradigm that integrates novel T-Spherical Hesitant Fuzzy Rough (T−SHFR) set, method for the removal effects of criteria with a geometric mean and ranking alternatives with weights of criterion hybrid Multiple Criteria Decision-Making (MCDM) techniques. By leveraging the novel T−SHFR concept, our approach allows for a comprehensive assessment of various factors. This holistic evaluation ensures an exhaustive comprehension of the decision-making environment. The study reveals that reservoir characteristics play a significant role in selecting a sustainable drilling alternative. Furthermore, directional drilling appears as the most promising method with higher energy yields followed by slim hole drilling. The robustness and credibility of these findings are established through sensitivity and comparative analyses, indicating the potential applicability of this MCDM method to analogous challenges in different contexts. The findings of the ranking techniques were validated using Spearman's rank correlation coefficient, which revealed a positive and notable correlation. This research will empower stakeholders to make informed decisions, thereby enhancing the overall efficiency and sustainability of geothermal energy projects.

Open Access: Yes

DOI: 10.1016/j.ins.2024.121353

Artificial Intelligence Based Insulin Sensitivity Prediction for Personalized Glycaemic Control in Intensive Care

Balázs Benyó J. Geoffrey Chase Bálint Szabó Katalin Kovács Yahia Anane Ákos Szlávecz Béla Paláncz

Publication Name: IFAC Papersonline

Publication Date: 2020-01-01

Volume: 53

Issue: 2

Page Range: 16335-16340

Description:

Stress-induced hyperglycaemia is a frequent complication in the intensive therapy that can be safely and efficiently treated by using the recently developed model-based tight glycaemic control (TGC) protocols. The most widely applied TGC protocol is the STAR (Stochastic-TARgeted) protocol which uses the insulin sensitivity (SI) for the assessment of the patients state. The patient-specific metabolic variability is managed by the so-called stochastic model allowing the prediction of the 90% confidence interval of the future SI value of the patients. In this paper deep neural network (DNN) based methods (classification DNN and Mixture Density Network) are suggested to implement the patient state prediction. The deep neural networks are trained by using three years of STAR treatment data. The methods are validated by comparing the prediction statistics with the reference data set. The prediction accuracy was also compared with the stochastic model currently used in the clinical practice. The presented results proved the applicability of the neural network based methods for the patient state prediction in the model based clinical treatment. Results suggest that the methods' prediction accuracy was the same or better than the currently used stochastic model. These results are the initial successful step in the validation process of the proposed methods which will be followed by in-silico simulation trials.

Open Access: Yes

DOI: 10.1016/j.ifacol.2020.12.659

Estimating fuzzy membership functions parameters by the levenberg-marquardt algorithm

János Botzheim Cristiano L. Cabrita António E. Ruano Ĺaszĺo T. Ḱoczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 1667-1672

Description:

In previous papers from the authors fuzzy model identification methods were discussed. The bacterial algorithm for extracting fuzzy rule base from a training set was presented. The Levenberg-Marquardt algorithm was also proposed for determining membership functions in fuzzy systems. In this paper the Levenberg-Marquardt technique is improved to optimise the membership functions in the fuzzy rules without Ruspini-partition. The class of membership functions investigated is the trapezoidal one as it is general enough and widely used. The method can be easily extended to arbitrary piecewise linear functions as well.

Open Access: Yes

DOI: 10.1109/FUZZY.2004.1375431