bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multicellular Proportional-Integral-Derivative Control for Robust Regulation of Biological Processes
Authors: Martinelli Vittoria , Fiore Davide , Salzano Davide , di Bernardo Mario 
Published: October 2024

AbstractThis paper presents the first implementation of a Proportional-Integral-Derivative (PID) biomolecular controller within a consortium of different cell populations, aimed at robust regulation of biological processes. By leveraging the modularity and cooperative dynamics of multiple engineered cell populations, we develop a comprehensive in silico analysis of the performance and robustness of P, PD, PI, and PID control architectures. Our theoretical findings, validated through in silico experiments using the BSim agent-based simulation platform, demonstrate the robustness and effectiveness of our multicellular PID control strategy. This innovative approach addresses critical limitations in current control methods, offering significant potential for applications in metabolic engineering, therapeutic contexts, and industrial biotechnology. Future work will focus on experimental validation in vivo and further refinement of the control models.
Particle-Hole Asymmetric Ferromagnetism and Spin Textures in the Triangular Hubbard-Hofstadter Model
Authors: Ding Jixun K. , Yang Luhang , Wang Wen O. , Zhu Ziyan , Peng Cheng , Mai Peizhi , Huang Edwin W. , Moritz Brian , Phillips Philip W. , Feldman Benjamin E. , Devereaux Thomas P. 
Published: October 2024

In a lattice model subject to a perpendicular magnetic field, when the lattice constant is comparable to the magnetic length, one enters the “Hofstadter regime,” where continuum Landau levels become fractal magnetic Bloch bands. Strong mixing between bands alters the nature of the resulting quantum phases compared to the continuum limit; lattice potential, magnetic field, and Coulomb interaction must be treated on equal footing. Using determinant quantum Monte Carlo and density matrix renormalization group techniques, we study this regime numerically in the context of the Hubbard-Hofstadter model on a triangular lattice. In the field-filling phase diagram, we find a broad wedge-shaped region of ferromagnetic ground states for filling factor ν≤1, bounded below by filling factor ν=1 and bounded above by half filling the lowest Hofstadter subband. We observe signatures of SU(2) quantum Hall ferromagnetism at filling factors ν=1 and ν=3. The phases near ν=1 are particle-hole asymmetric, and we observe a rapid decrease in ground-state spin polarization consistent with the formation of skyrmions only on the electron doped side. At large fields, above the ferromagnetic wedge, we observe a low-spin metallic region with spin correlations peaked at small momenta. We argue that the phenomenology of this region likely results from exchange interaction mixing fractal Hofstadter subbands. The phase diagram derived beyond the continuum limit points to a rich landscape to explore interaction effects in magnetic Bloch bands.

Published by the American Physical Society
2024
Understanding the formation process of positive customer engagement behaviors: a quantitative and qualitative interpretation
Authors: Zang Luning , Xiong Wenxiao , Liu Yuying , Dai Ting 
Published: October 2024

PurposeTo investigate the impact of cognition, emotion and other factors on positive customer engagement behaviors and to identify the differential formation processes and dynamic changes in these behaviors.Design/methodology/approachWe used cognitive appraisals and coping theory as well as justice theory, to analyze comment data from the Xiaomi Community with natural language processing and binary logistic regression.FindingsOur results indicate that cognition and emotion are unnecessary for positive customer engagement. Users expressing different cognitions and emotions exhibit varied positive engagement behaviors. The behavioral dimension was the most frequently combined, followed by the affective and cognitive dimensions. Managers should adopt material or spiritual incentives to encourage users with positive emotions and cognition to become loyal. Additionally, addressing comments with distributive justice cognition can promote positive customer engagement.Originality/valueThis study clarifies the complex interplay between cognition, emotion and customer engagement behaviors, providing actionable insights for brand managers to foster customer loyalty and positive customer engagement.
What environmental and social factors are most relevant to the efficiency and performance of companies? The case of a small bank-oriented country
Authors: Neves Maria Elisabete , Caniaux Diana , Gouveia Maria do Castelo , Coelho Arnaldo 
Published: October 2024

PurposeThis work aims to analyze the factors that influence the performance and efficiency of Portuguese companies, namely the influence of social and environmental features.Design/methodology/approachTo achieve our aim, we have used the Portuguese benchmark index, the Portuguese stock index – PSI, during the period from 2016 to 2020. To test the hypothesis panel data methodology was used, specifically, the GMM system originally proposed by Arellano and Bond (1991) and the Value-Based DEA developed by Gouveia et al. (2008).FindingsThe results of the GMM model show that social performance has a negative relationship with the company’s performance, from the perspective of different stakeholders, reinforcing that the cost-benefit trade-off of social spending is not yet understood as advantageous for the company’s performance. On the other hand, environmental performance, for external stakeholders, positively influences the company’s performance, perhaps due to pressure from society and the tradition of disclosing environmental matters. The value-based DEA results reinforce that from the perspective of the external stakeholder, non-efficient companies must increase their environmental performance to become efficient, highlighting the role of environmental performance in explaining efficiency. It is unanimous that social performance is still not seen as a lever of efficiency.Originality/valueThis is the first work to use a hybrid methodology to understand the performance determinants of a small banking-oriented country, emphasizing environmental and social aspects.
Comparing Google reviews and TripAdvisor to help researchers select the more appropriate information source
Authors: Mellinas Juan Pedro , Sicilia Maria 
Published: October 2024

Purpose
The purpose of this research is to identify not only the potential but also the limitations of Google reviews compared to TripAdvisor that may help researchers select the more appropriate information source.

Design/methodology/approach
The 10 most visited museums and theme parks in Europe were selected for this study. A total of 23,756 theme park reviews and 22,750 museum reviews were extracted from Google and TripAdvisor in November 2022 using the Octoparse tool. In a second round of data collection, reviews on Easter week 2023 were collected for the same destinations.

Findings
TripAdvisor offers a more comprehensive and accessible source of information compared to Google. However, the findings clearly indicate that Google has greater potential to accumulate reviews. The data also confirms that destinations tend to have higher ratings on Google than on TripAdvisor.

Practical implications
The research identifies a critical limitation in Google’s review system – a cap of 1,140 viewable and downloadable reviews per destination – posing a significant hindrance to researchers.

Originality/value
To the best of the authors’ knowledge, this is the first study providing a reasoned explanation for the limited scientific literature in tourism that uses Google reviews as a database. It offers a balanced comparison between TripAdvisor and Google that allows researchers to make a more reasoned decision regarding which information source to use depending on the study focus, the method and the data to be collected.
Bringing together Lean Six Sigma and discrete event simulation: a systematic literature review
Authors: Lúcio Jonathan Serafim , Miranda Rafael de Carvalho , dos Santos Carlos Henrique , Lúcio Tháyna Alcântara Vieira 
Published: October 2024

Purpose
This study aims to discover, compare and analyse the primary works that integrate Lean Six Sigma (LSS) and discrete event simulation (DES), exploring theoretical aspects to provide support for future integrated applications of the methods.

Design/methodology/approach
The authors carried out a systematic literature review involving selecting and evaluating papers in six scientific databases. This approach aimed to explore various aspects related to the integration of LSS and DES. Among the main aspects evaluated, the authors highlight the primary steps that involve applying both techniques, the structural organisation of each method, the associated objectives, adopted software, application areas, frameworks and other pertinent factors.

Findings
LSS offers DES a problem-solving-oriented approach, while DES allows LSS to test various scenarios planned for the DMAIC improvement phase. Despite being a promising theme, few studies examine these methods in an integrated manner. Moreover, among the works analysed, none presents a framework with guidelines for implementing these methods in an integrated way.

Research limitations/implications
This paper may not have included some of the studies due to the inaccessibility and selection criteria followed for the study.

Originality/value
This paper offers an overview and research insights considering the state of the art on integrating LSS and DES methods for researchers and practitioners in continuous improvement and computer simulation areas.
School starting age and mothers’ labour supply: causal evidence from the 2012 education reform in Turkey
Authors: Zayim Gulen Derya , Kayaoglu Aysegul 
Published: October 2024

PurposeThis paper assesses the impact of a reduction in childcare costs, resulting from a change in compulsory schooling law, on mothers' labour supply in Turkey.Design/methodology/approachThe 2012 Education Reform lowered the school starting age, allowing children up to 60 months old to enrol in primary schools. Previously, the starting age was seven years old, corresponding to 72-month-old children. We consider this change as an implied childcare subsidy for mothers with eligible children and investigate its labour market consequences. Using Turkish Household Labour Force Surveys, we applied a differences-in-differences method to estimate the effect of this law on mothers' labour supply.FindingsThe results reveal that the reform did not alter mothers' labour supply behaviour, even when categorized by educational attainment and marital status. While the findings for married mothers align with previous literature, the results for single mothers, despite showing a positive magnitude, are not statistically significant.Originality/valuePrevious literature shows a strong correlation but limited causal evidence on childcare subsidies and maternal labour supply in Turkey. This study is the first to use a change in compulsory schooling law to provide causal evidence. The results suggest that mothers in developing countries may respond differently to subsidies than those in developed countries, especially when there is an extensive informal childcare market. Policymakers should consider this when addressing mothers' behavioural inertia.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0110
Effect of surface square textures on the physical field of static and dynamic pressure thrust bearings and multi-objective optimization
Authors: Yu Xiaodong , Shi Guangqiang , Gao Weicheng , Yang Xinyi 
Published: October 2024

Purpose
The lubrication performance of static and dynamic pressure thrust bearings is improved by introducing texture on the sealing edge.

Design/methodology/approach
Through model building, meshing and boundary condition setting, the influence of square texture on oil film lubrication performance was simulated and analyzed, and an improved algorithm was applied to perform optimization of lubrication performance.

Findings
The findings of this study reveal that the optimum lubrication performance is attained when adjusting the parameters of the square texture to 0.12 mm, 0.1 mm, 1 mm and 34 mm. In such circumstances, the thrust bearing with square textures demonstrates an increase in loading capacity of around 19% and a temperature reduction of about 2ºC compared to a smooth thrust bearing.

Originality/value
The original Reynolds equation is revised, and the influence of square texture on the physical field of oil film is analyzed, considering the turbulence state and cavitation phenomenon. The multi-objective function under square texture parameters was established using BP neural network, and the improved multi-objective salp swarm algorithm was used to optimize the process parameters.
“The Mysterious Disappearance”: assessment of a sustainability-themed virtual educational escape room in higher education
Authors: González-Muñoz Enrique , Gallardo-Vigil Miguel Ángel , Gutiérrez-Pérez José 
Published: October 2024

PurposeIn this study, we assessed the educational value and efficacy of a virtual educational escape room (VEER), called “The Mysterious Disappearance”, for training pre-service teachers.Design/methodology/approach“The Mysterious Disappearance” was developed ad hoc and contains various activities and puzzles focussing on the Sustainable Development Goals (SDGs). The research will evaluate the design quality and satisfaction of 193 participants regarding the VEER, their perceptions of game-based learning (GBL) and analyse which soft skills are most used and which valence typology (positive/pleasant or negative/unpleasant emotions) has the greatest impact on players’ experience. Descriptive, exploratory factor and inferential analyses are employed.FindingsThe study indicates that the VEER is rated very positively by pre-service teachers. Overall satisfaction levels are high, and the resource and methodology are perceived as favourable. The design quality of the resource is also well rated, with participants perceiving it as a challenging but engaging and well-balanced. Participation in the VEER shows several benefits, especially in cognitive and motivational areas. The participants demonstrated high levels of soft skills utilisation. The resource elicits predominantly positive and pleasurable emotions. Finally, there is a positive perception towards GBL among pre-service teachers, both as students and future teachers.Originality/valueThis study employs a multivariate analysis, using a questionnaire comprising three scales. This study’s dual focus on participants’ perceptions, as current Students and Future teachers, provides insights into their potential role as designers/implementers. Findings contribute to the ongoing development of academic hypotheses, particularly by highlighting the increased motivation linked to VEER use and its positive impact on learning. Designed with the SDG framework, the game enhances teachers' engagement with the 2030 Agenda, supporting their professional development and promotes values related to sustainability. The VEER was developed ad hoc by one of the authors, and the study has potential implications for numerous fields and areas of research.
The use ADDIE model to improve the competence of the higher education task force in obtaining competitive funding for the independent campus program
Authors: Mudjisusatyo Yuniarto , Darwin Darwin , Kisno Kisno 
Published: October 2024

PurposeThis research aims to improve the competence of the task force of vocational higher education study programs in preparing a proposal for the Vocational Higher Education Strengthening Program-Private University (VHESP-PU) of the Independent Campus Program.Design/methodology/approachThis type of research is R&D by applying the ADDIE model procedures. The research subjects were 30 lecturers assigned as study program task forces from 15 private universities in North Sumatra. The techniques to collect data are tests and questionnaires. Data analysis techniques use quantitative descriptive statistics.FindingsThe application of the ADDIE Model was proven effective in achieving training objectives based on the mean comparison analysis between the pre-test and post-test, showing an increase. The maximum score achieved by participants also increased by 9.52% from 84 to 92. Participants' evaluation of the implementation of the training was also dominant in the “Good” and “Very Good” categories. The training learning achievements that participants have obtained will help prepare higher-quality VHESP-PU proposals for each fiscal year to optimize training sustainability.Research limitations/implicationsThe fact that only 15 universities participated in the training underscores the urgent need for ongoing training using the ADDIE model. This will ensure that more participants from private universities in North Sumatra can benefit from this practical approach to proposal preparation.Practical implicationsUsing the ADDIE model to prepare VHESP-PU proposals is an innovative approach that can inspire similar applications in other fields. This research demonstrates that the ADDIE model, usually associated with instructional design, curriculum or learning materials, can also effectively prepare funding proposals using a competition scheme.Originality/valueThe use of the ADDIE model in preparing VHESP-PU proposals is an innovation because ADDIE is usually more related to developing instructional design, curriculum or learning materials rather than funding proposals using a competition scheme.
Analysing the modest fashion market: an empirical study of e-commerce best-selling products
Authors: Putri Natasya Fitriani , Hameed Affan , Akin Meryem , Akin Isik , Khan Muhammad Zubair , Banerjee Satya , Zaidi Syed Muhammad Taqi 
Published: October 2024

Purpose
This study examines the dynamics of the modesty-conscious market within the global fashion industry. Specifically, the research aims to understand and analyse the preferences of consumers in this market segment and provide guidance for fashion companies seeking to engage with this sizable audience consumer demand for modest fashion, such as loose-fitting garments and headscarves for women.

Design/methodology/approach
Employing a mono-method quantitative research approach, this study uses a comprehensive big data analytics framework to analyseashion data sets obtained from e-commerce websites.

Findings
The findings highlight a persistent and growing demand for modest fashion; that demand proved resilient in the face of challenges presented by the COVID-19 pandemic. Modest shoppers demonstrate price sensitivity, and their preference for premium brands over affordable ones varies considerably. Crucial factors contributing to the success of modest clothing as best-sellers include price, retailer, colour and fabric, while the discount feature is less important.

Research limitations/implications
While this research provides significant insights, it is important to acknowledge its limitations. This study relies on data gathered from certain e-commerce websites, and specific nuances of consumer behaviour may not be fully captured. In addition, the scope is limited to a specific timeframe and may not account for long-term market shifts.

Practical implications
Fashion companies could use the results of this study to customise their strategy for engaging the modesty-conscious demographic. Comprehending the significance of elements such as price, retailer, colour and fabric can allow firms to enhance their product offerings and marketing strategies.

Social implications
This study highlights the social ramifications of the modesty-focused industry, stressing the changing tastes and requirements of customers within this sector. By aligning their strategies with these societal shifts, fashion companies can contribute to a more inclusive and diverse industry landscape.

Originality/value
This research contributes to the academic literature on modest fashion by using a unique combination of exploratory data analysis and machine learning techniques with fashion e-commerce data sets. This study addresses a gap in the use of big data within this field, and provides novel insights into consumer demand for modest garments. This study challenges the prevailing assumption that consumers of modest fashion prioritise premium pricing, and offers fresh insights into their price sensitivity across both mass-market and luxury segments. It contributes to the literature on consumer behaviour in niche fashion markets and introduces a theoretical framework for understanding the intersection of fashion, culture and consumer economics within the context of modest fashion.
Ethical leadership in health-care organizations – a scoping review
Authors: Singh Ankit , Vashist Harshitha 
Published: October 2024

Purpose
The purpose of this study is to explore the impact of EL style on key variables in health-care settings. Very few studies investigate the impact and outcomes of EL on health-care organizations. Synthesis of evidence will assist health-care leaders in making informed decisions about the outcomes they can expect from practicing EL.

Design/methodology/approach
Arksey and O’Malley’s five-stage framework is used for conducting the scoping review. The databases include Scopus, Emerald Insight and Web of Science.

Findings
A total of 22 studies were finally considered for scoping review. The data are presented in terms of years, sampling techniques, sample size, data collection methods, and the directional relationship of the variables with EL.

Practical implications
Managers should be trained in EL style as it promotes the sustainability of the environment and organizations. Furthermore, EL should be promoted in health-care organizations as it improves employee resilience and voicing behavior and reduces instances of adverse events and medication errors, thus making the hospital a better and safer place.

Originality/value
This is one of the studies investigating the EL implications for health-care managers.