bluuebunny/crossref_metadata_2025_split huggingface dataset:
Replicating a COVID-19 study in a national England database to assess the generalisability of research with regional electronic health record data
Authors: Williams Richard , Jenkins David , Bolton Thomas , Heald Adrian , Mizani Mehrdad A , Sperrin Matthew , Peek Niels 
Published: August 2024

AbstractObjectivesTo assess the degree to which we can replicate a study between a regional and a national database of electronic health record data in the United Kingdom.DesignA replication of a retrospective cohort study.SettingObservational EHR data from primary and secondary care sources in the UK. The original study used data from a large, urbanised region (Greater Manchester Care Record, Greater Manchester, UK). This replication study used a national database covering the whole of England, UK (NHS England’s Secure Data Environment service for England, accessed via the BHF Data Science Centre’s CVD-COVID-UK/COVID-IMPACT Consortium).ParticipantsIndividuals with a diagnosis of T1D or T2D prior to a positive COVID-19 test result. The matched controls (3:1) were individuals who had a positive COVID-19 test result, but who did not have a diagnosis of diabetes on the date of their positive COVID-19 test result. Matching was done on age at COVID-19 diagnosis, sex and approximate date of COVID-19 test.Primary and secondary outcome measuresHospitalization within 28 days of a positive COVID-19 test.ResultsWe found that many of the effect sizes did not show a statistically significant difference. Where effect sizes were statistically significant in the regional study, then they remained significant in the national study and the effect size was the same direction and of similar magnitude.ConclusionsThere is some evidence that the findings from studies in smaller regional datasets can be extrapolated to a larger, national setting. However, there were some significant differences and therefore replication studies remain an essential part of healthcare research.Strengths and limitations of this studyThe same team performed the original study and this replication studyThe underlying data sources, while similar, had differences that may have affected the resultsThe focus of replication was a single outcome for a single condition and may not generalise to other disease areas
Multi-objective parameter matching of elastic ring for rotor system by using particle swarm optimization method
Authors: Sun Kai , Luo Zhong , Li Lei , Wu Fayong , Wu Xuanrui 
Published: August 2024

PurposeElastic rings served as the elastic supporting elements which have been extensively used in the aeroengines for maneuverable planes with high overloading. However, under extreme conditions, the elastic ring contacts the bearing seat, causing elastic ring failure. Therefore, it is necessary to optimize the matching parameters of the elastic ring in order to suppress the occurrence of elastic ring failure under harsh working conditions.Design/methodology/approachIn this paper, a rotor system supported by elastic rings is researched and a multi-objective parameter matching method of elastic ring is proposed, considering the elastic ring failure, rotor system’s frequency forbidden zone and rotor system’s dynamic response. Then, the particle swarm optimization algorithm is used to dynamically constrain the parameter matching space and obtain the ideal solution for the elastic ring parameter matching.FindingsBy analyzing the elastic ring’s matching results (different unbalanced forces and disk masses), the relationship between the trend of Pareto front changes and rotor system parameters is studied. In addition, the rotor system’s dynamic characteristics before and after parameter matching are analyzed.Originality/valueThis article provides guidance for the design of elastic rings by matching the parameters of elastic rings.
Characterization, impact and wear properties of treated and as-received graphene nanosheets reinforcement in epoxy resin composites
Authors: Jazaa Yosef 
Published: August 2024

PurposeThis study aims to explore the enhancement of mechanical properties in epoxy resin composites through the incorporation of graphene nanoparticles, focusing on their impact and wear resistance. It investigates the role of graphene, both treated and untreated, as a reinforcing agent in composites, highlighting the significance of nanoparticle dispersion and surfactant treatment in optimizing mechanical performance.Design/methodology/approachEmploying a novel dispersion technique using a drawing brush, this research contrasts with traditional methods by examining the effects of graphene nanoparticle concentrations treated with surfactants – Polyvinylpyrrolidone (PVP) and Sulphonated Naphthalene Formaldehyde (SNF) – on the mechanical properties of epoxy resin composites. The methodology includes conducting a series of impact and wear tests to assess the influence of graphene reinforcement on the composites' performance.FindingsThe findings reveal a marked enhancement in the composites impact resistance and energy absorption capabilities, which escalate with an increase in graphene content. Additionally, the study demonstrates a significant improvement in wear resistance, attributed to the superior mechanical properties, robust interface adhesion and effective dispersion of graphene. The use of surfactants for graphene treatment is identified as a crucial factor in these advancements, offering profound insights into the development of advanced composite materials for diverse industrial uses.Originality/valueThis study introduces a unique dispersion technique for graphene in epoxy composites, setting it apart from conventional methods. By focusing on the critical role of surfactant treatment in enhancing the mechanical properties of graphene-reinforced composites, it provides a novel insight into the optimization of impact and wear resistance.
Quantitative analysis of the relationship between expressing gratitude and forgiveness and user sentiment on social media
Authors: Hitl Mateo , Greb Nikola , Bagić Babac Marina 
Published: August 2024

Purpose
The purpose of this study is to investigate how expressing gratitude and forgiveness on social media platforms relates to the overall sentiment of users, aiming to understand the impact of these expressions on social media interactions and individual well-being.

Design/methodology/approach
The hypothesis posits that users who frequently express gratitude or forgiveness will exhibit more positive sentiment in all posts during the observed period, compared to those who express these emotions less often. To test the hypothesis, sentiment analysis and statistical inference will be used. Additionally, topic modelling algorithms will be used to identify and assess the correlation between expressing gratitude and forgiveness and various topics.

Findings
This research paper explores the relationship between expressing gratitude and forgiveness in X (formerly known as Twitter) posts and the overall sentiment of user posts. The findings suggest correlations between expressing these emotions and the overall tone of social media content. The findings of this study can inform future research on how expressing gratitude and forgiveness can affect online sentiment and communication.

Originality/value
The authors have demonstrated that social media users who frequently express gratitude or forgiveness over an extended period of time exhibit a more positive sentiment compared to those who express these emotions less. Additionally, the authors observed that BERTopic modelling analysis performs better than latent dirichlet allocation and Top2Vec modelling analyses when analysing short messages from social media. This research, through the application of innovative techniques and the confirmation of previous theoretical findings, paves the way for further studies in the fields of positive psychology and machine learning.
Aircraft ice accretion prediction based on geometrical constraints enhancement neural networks
Authors: Suo Wei , Sun Xuxiang , Zhang Weiwei , Yi Xian 
Published: August 2024

Purpose
The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement neural networks, to improve the prediction accuracy compared to the non-geometrical constraints model.

Design/methodology/approach
The model is developed with flight velocity, ambient temperature, liquid water content, median volumetric diameter and icing time taken as inputs and icing thickness given as outputs. To enhance the icing prediction accuracy, the model involves geometrical constraints into the loss function. Then the model is trained according to icing samples of 2D NACA0012 airfoil acquired by numerical simulation.

Findings
The results show that the involvement of geometrical constraints effectively enhances the prediction accuracy of ice shape, by weakening the appearance of fluctuation features. After training, the airfoil icing prediction model can be used for quickly predicting airfoil icing.

Originality/value
This work involves geometrical constraints in airfoil icing prediction model. The proposed model has reasonable capability in the fast assessment of aircraft icing.
Lean sustainability and triple bottom line performance of manufacturing industries in a developing economy: does top management commitment matter?
Authors: Opoku Richard Kofi , Issifu Ramatu , Ofori Daniel , Wafa Sania , Asiedu Alfred 
Published: August 2024

PurposeAlthough literature abounds on lean sustainability (LS), its contributions to manufacturing industries’ triple bottom line performance (TBLP) through top management commitment (TMC) remain scanty. This research explores the mediating role of TMC in the nexus between LS and TBLP.Design/methodology/approachGiven the study’s quantitative focus, the causal design was utilised. The structured questionnaire, a survey instrument, was used to gather primary data from 285 manufacturing organisations in Ghana, a developing country. Data analysis was done with structural equation modelling.FindingsIt was found that LS and TMC positively influence TBLP, whereas TMC partially mediates the connection between LS and TBLP of Ghanaian manufacturing organisations.Research limitations/implicationsThe study concentrates on Ghana’s manufacturing industry and embraces the stakeholder theory and quantitative methods.Practical implicationsThis research underlines why top managers must prioritise investment in LS to promote sustainable development and attain their organisations’ TBLP targets. The study also provides key insights for top managers to consistently commit enormous resources towards developing lean practices, contributing favourably to TBLP. By establishing the interplay among LS, TMC and TBLP, manufacturing practitioners and researchers can further advance new strategies to address the growing sustainability concerns and achieve higher economic, social and environmental performance.Originality/valueThe study’s originality lies in analysing the mediation effect of TMC on the linkage between LS and TBLP in a developing economy where manufacturing organisations are continuously exposed to resource and waste management problems and lack adequate commitments from top managers towards sustainability initiatives. It is also the first to establish relationships between top management commitment and TBLP in the manufacturing industries of developing economies, concentrating on Ghana.
On sensitivity analysis of the fundamental frequency of cracked fiber metal laminated (FML) beams using experimental survey and finite element method
Authors: Salmalian Kaveh , Alijani Ali , Ramezannejad Azarboni Habib 
Published: August 2024

PurposeIn this research, the free vibration sensitivity analysis of cracked fiber metal laminated (FML) beams is investigated numerically and experimentally. The effects of single and double cracks on the frequency of the cantilever beams are simulated using the finite element method (FEM) and compared to the experimental results.Design/methodology/approachIn FEM analysis, the crack defect is simulated by the contour integral technique without considering the crack growth. The specimens are fabricated with an aluminum sheet, woven carbon fiber and epoxy resin. The FML specimens are constructed by bonding five layers as [carbon fiber-epoxy/Al/carbon fiber-epoxy/Al/carbon fiber-epoxy]. First, the location and length of cracks are considered input factors for the frequency sensitivity analysis. Then, the design of the experiment is produced in the cases of single and double cracks to compute the frequency of the beams in the first and second modes using the FEM. The mechanical shaker is used to determine the natural frequency of the specimens. In addition, the predicted response values of the frequency for the beam are used to compare with the experimental results.FindingsConsequently, the results of the sensitivity analysis demonstrate that the location and length of the crack have significant effects on the modes.Originality/valueEffective interaction diagrams are introduced to investigate crack detection for input factors, including the location and length of cracks in the cases of single and double cracks.
The effect of corporate social responsibility hybridity on firm performance: moderating role of aspirational talk
Authors: Yuan Ruizhi , Liu Martin J. , Qian Lixian , Chen Yuhuilin 
Published: August 2024

PurposeThis study explores a novel conception of corporate social responsibility (CSR) hybridity and investigates its effect on returns following CSR announcements and the moderating role of aspirational CSR talk.Design/methodology/approachBased on an event study of 136 Chinese companies’ CSR announcements, this study empirically insights into an overall tension between the short-term firm performance (FP) loss and medium-term FP success of CSR hybridity.FindingsFirst, CSR hybridity has a negative impact on short-term FP. Second, although there is positive effect on medium-term FP, this influence is not permanent. Third, aspirational CSR talk has a moderating role on the positive relationship between CSR hybridity and FP. These results point to the unique features of hybridity that require time to diffuse the impacts.Originality/valueFirst, by adopting new concept of CSR hybridity, this study contributes to the literature by considering better solutions to integrate strategic CSR. Second, by investigating the complexity of the CSR hybridity–FP dialogue, the results provide insights into the questions of why and when organizations could be incentivized to adopt hybrid CSR approaches. Third, this study contributes to the CSR–FP and stakeholder literature by demonstrating that aspirational talk is key in CSR’s medium-term success. The implication of this is a growing pressure on companies’ CSR communications with investors through managerial talk that depicts organizational ambitions for CSR engagement.
Interconnectedness between Islamic and conventional banks: a multilayer network view
Authors: Miglietta Federica , Foglia Matteo , Wang Gang-Jin 
Published: August 2024

Purpose
This study aims to examine information (stock return, volatility and extreme risk) spillovers and interconnectedness within dual-banking systems.

Design/methodology/approach
Using multilayer information spillover networks, this paper conduct a deep analysis of contagion dynamics among 24 Islamic and 46 conventional banks from 2006 to 2022.

Findings
The findings show the network’s rapid response to financial shocks. Through cross-sector analysis, this paper identify information spillovers between and within Islamic and conventional banking systems. Furthermore, this research illustrates distinct roles played by Islamic and conventional banks within the multilayer network structure, contingent upon the nature of the financial shock.

Practical implications
Understanding the differential roles of Islamic and conventional banks in information transmission can aid policymakers and financial institutions in devising more effective risk management strategies, thereby enhancing financial stability within dual-banking systems.

Originality/value
This study contributes to the literature by emphasizing the necessity of examining contagion mechanisms beyond traditional single-layer network structures, shedding light on the shadow dynamics of information transmission in dual-banking systems.
Understanding determinants of outward foreign direct investment: the role of economic policy uncertainty, institutional quality, and globalization
Authors: Ölmez Fevzi , Bilgiç Emre , Aydın Esra 
Published: August 2024

PurposeThis research aims to investigate the role of the economic policy uncertainty (EPU) in the outward FDI (OFDI) of the United Kingdom (UK) by considering the institutional quality (IQ) and globalization level of the host country as contextual factors.Design/methodology/approachThe UK’s OFDI to its twenty partners is analyzed by using the factor augmented model for the 2005–2019 period.FindingsThe results show that the EPU of the host country has a negative and significant effect on the UK's OFDI. Furthermore, the findings surprisingly illustrate that the globalization level of the host country has a negative and significant impact on the UK's OFDI. In terms of IQ, this study indicates that, while government effectiveness and regulatory quality have a negative and significant influence on the UK's OFDI, the rule of law has a positive and significant effect on the UK's OFDI.Originality/valueThis will be one of a few studies considering OFDI in the scope of EPU. Also, the contradicting results of the study add unique perspectives to the literature about the relationship between OFDI, globalization, and IQ.
The impact of information technology capability on audit report lag and audit fees: empirical evidence from the COVID-19 pandemic
Authors: Bani-Khaled Sakhr , Pinho Carlos 
Published: August 2024

Purpose
This study aims to examine the impact of client information technology (IT) capabilities on audit report lag and audit fees in Jordanian companies listed on the Amman Stock Exchange (ASE) during the COVID-19 pandemic.

Design/methodology/approach
This study analysed financial and non-financial data from 72 Jordanian public shareholding companies listed on the ASE between 2014 and 2021. Using fixed- and random-effects models, the authors examined the impact of client IT capabilities on audit report lag and audit fees. The authors also examined how the COVID-19 pandemic might affect audit report lag and audit fees. The analysis incorporated various control variables specific to the Jordanian context to ensure accuracy.

Findings
Empirical evidence indicates that client IT capabilities do not significantly impact audit report lag and audit fees. In contrast, the COVID-19 pandemic has positively impacted audit report lag and audit fees, leading to an increase in audit report lag of 60 to 67 days and an increase in audit fees of approximately 15%. It is worth noting that these effects are more pronounced when influenced by factors including return on assets, company losses and audits conducted by the Big 4 firms.

Research limitations/implications
The scope of this study, which focuses on Jordanian firms, may limit the generalisability of the findings to other contexts. Reliance on aggregate IT infrastructure and software assets as proxies for IT capabilities might not fully capture their multifaceted nature, overlooking the qualitative aspects crucial for audit outcomes. Furthermore, excluding external factors such as governmental regulations underscores the need for future research to explore the nuanced interplay between IT capabilities, internal control systems and regulatory environments, enriching our understanding of audit practices.

Originality/value
This study contributes to auditing literature by examining the interplay between IT capabilities and audit processes during the COVID-19 pandemic in Jordan. This study highlights the unexpected finding that IT capabilities have minimal impact on audit report lags and fees, opening new avenues for research on how pandemics and similar crises can reshape auditing practices and influence regulatory policies in an evolving economic environment.
In-store augmented reality experiences and its effect on consumer perceptions and behaviour
Authors: Attri Rekha , Roy Subhadip , Choudhary Sharuti 
Published: August 2024

Purpose
This study aims to explore the impact of augmented reality (AR) technologies on consumer information processing and value perceptions in physical stores. Specifically, it investigates how the vividness, novelty and interactivity of AR shape utilitarian and hedonic value perceptions, and influence consumer purchase and continuance behaviour.

Design/methodology/approach
The study used the store intercept survey method at 15 retail outlets across four metro cities in India, representing nine prominent retail brands deploying AR technologies. The data collected (n = 650) were subjected to exploratory and confirmatory factor analysis.

Findings
Major findings confirm a significant effect of vividness, novelty and interactivity on utilitarian and hedonic value perceptions of in-store AR experiences of customers in physical stores. Hedonic value was found to affect continuance intention but not purchase intention, while utilitarian value was found to affect purchase intention but not continuance.

Research limitations/implications
This study extends the stimulus–organism–response model’s application to AR in physical stores by integrating the impact of vividness, novelty and interaction on both utilitarian and hedonic values and revealing their significance in influencing purchase intentions and continuance.

Practical implications
Major findings advise retailers to increase AR experience adoption in stores and illustrate the process through which purchase and continuance intentions may be influenced.

Originality/value
This is one of the few studies that explore the impact of AR on consumer attitudes and intentions in physical stores. In addition, the study explores the effect of AR tools as a process that passes through value perceptions and then affects the consumer.
FinTech and consumers: a systematic review and integrative framework
Authors: Abis Danilo , Pia Patrizia , Limbu Yam 
Published: August 2024

PurposeThis review aims to present the state of the art regarding the impact of financial technology (FinTech) on financial inclusion and its implications for consumers and institutions in terms of accessibility, usage and quality. An integrated framework is developed to illustrate the primary thematic areas for future research.Design/methodology/approachWe performed a systematic literature review (SLR) to summarize and synthesize existing research published in peer-reviewed academic journals. Forty-two eligible studies were identified from the Web of Science database and a cross-reference search.FindingsThe results suggest that FinTech promotes financial inclusion for consumers and businesses by increasing the accessibility, usage and quality of financial products. We present a multidisciplinary integrative framework that links the three dimensions of financial inclusion (i.e. access, usage and quality) to financial technology. Finally, we propose several avenues for future research.Originality/valueTo the best of the author’s knowledge, this is the first SLR on how FinTech is associated with the accessibility, usage and quality of financial products. We provide an integrative framework for understanding the topic with implications in different fields.