bluuebunny/crossref_metadata_2025_split huggingface dataset:
Creditworthiness pattern prediction and detection for GCC Islamic banks using machine learning techniques
Authors: Shilbayeh Samar , Grassa Rihab 
Published: April 2024

Purpose
Bank creditworthiness refers to the evaluation of a bank’s ability to meet its financial obligations. It is an assessment of the bank’s financial health, stability and capacity to manage risks. This paper aims to investigate the credit rating patterns that are crucial for assessing creditworthiness of the Islamic banks, thereby evaluating the stability of their industry.

Design/methodology/approach
Three distinct machine learning algorithms are exploited and evaluated for the desired objective. This research initially uses the decision tree machine learning algorithm as a base learner conducting an in-depth comparison with the ensemble decision tree and Random Forest. Subsequently, the Apriori algorithm is deployed to uncover the most significant attributes impacting a bank’s credit rating. To appraise the previously elucidated models, a ten-fold cross-validation method is applied. This method involves segmenting the data sets into ten folds, with nine used for training and one for testing alternatively ten times changeable. This approach aims to mitigate any potential biases that could arise during the learning and training phases. Following this process, the accuracy is assessed and depicted in a confusion matrix as outlined in the methodology section.

Findings
The findings of this investigation reveal that the Random Forest machine learning algorithm superperforms others, achieving an impressive 90.5% accuracy in predicting credit ratings. Notably, our research sheds light on the significance of the loan-to-deposit ratio as a primary attribute affecting credit rating predictions. Moreover, this study uncovers additional pivotal banking features that intensely impact the measurements under study. This paper’s findings provide evidence that the loan-to-deposit ratio looks to be the purest bank attribute that affects credit rating prediction. In addition, deposit-to-assets ratio and profit sharing investment account ratio criteria are found to be effective in credit rating prediction and the ownership structure criterion came to be viewed as one of the essential bank attributes in credit rating prediction.

Originality/value
These findings contribute significant evidence to the understanding of attributes that strongly influence credit rating predictions within the banking sector. This study uniquely contributes by uncovering patterns that have not been previously documented in the literature, broadening our understanding in this field.
Online path planning of pork cutting robot using 3D laser point cloud
Authors: Liu Yi , Ning Rui , Du Mingxin , Yu Shuanghe , Yan Yan 
Published: April 2024

Purpose
The purpose of this paper is to propose an new online path planning method for porcine belly cutting. With the proliferation in demand for the automatic systems of pork production, the development of efficient and robust meat cutting algorithms are hot issues. The uncertain and dynamic nature of the online porcine belly cutting imposes a challenge for the robot to identify and cut efficiently and accurately. Based on the above challenges, an online porcine belly cutting method using 3D laser point cloud is proposed.

Design/methodology/approach
The robotic cutting system is composed of an industrial robotic manipulator, customized tools, a laser sensor and a PC.

Findings
Analysis of experimental results shows that by comparing with machine vision, laser sensor-based robot cutting has more advantages, and it can handle different carcass sizes.

Originality/value
An image pyramid method is used for dimensionality reduction of the 3D laser point cloud. From a detailed analysis of the outward and inward cutting errors, the outward cutting error is the limiting condition for reducing the segments by segmentation algorithm.
Effect of managers' sleep quality on authoritarian leadership dynamics and employees' counterproductive behavior
Authors: Jiang Rui , Lin Xinqi 
Published: April 2024

PurposeThis study examines the antecedents and dynamics of authoritarian leadership and extends the effects of managers' sleep quality to employee behavior.Design/methodology/approachOn the basis of self-regulation theory, 513 unit day samples were analyzed using cross-level path analysis and a Monte Carlo simulation test.FindingsManagers' sleep quality is positively related to authoritarian leadership and positive emotions play a mediating role. Authoritarian leadership is positively related to employees' counterproductive behavior. Managers' sleep quality affects employees' counterproductive behavior through managers' positive emotions and authoritarian leadership.Practical implicationsIndividuals should learn to reduce stress and maintain a positive mood. Organizations should reduce employees' overtime work and work stress and find other ways to improve employees' sleep quality.Originality/valueFirst, we considered authoritarian leadership to be dynamic and studied it on a daily basis. Second, we studied the antecedents of authoritarian leadership from the perspective of leaders' states (sleep quality and emotions). Third, we discussed the effect of managers' sleep quality on employee behavior.
Auditor tenure and non-GAAP earnings
Authors: Kim Pureum , Son Myungsoo 
Published: April 2024

Purpose
This study aims to examine whether the newly available auditor tenure information is associated with non-GAAP earnings, as the recent requirement to disclose the initial year of auditor-client relationship in audit reports may give the impression that longer auditor tenure may be related to lower audit quality.

Design/methodology/approach
Using a sample of firm-quarters from 2017 to 2020, the authors conduct both univariate and regression analyses. We use hand-collected data for auditor tenure, SEC comment letters, and non-GAAP variables.

Findings
First, the authors find that the likelihood of disclosing non-GAAP earnings monotonically increases with auditor tenure on a univariate basis. Second, auditor tenure is negatively associated with aggressive non-GAAP reporting. Third, the authors document evidence of aggressive reporting in general; that is, items excluded in calculating non-GAAP earnings are associated with future performance. However, the association declines with longer auditor tenure. Finally, the authors report evidence that the likelihood of receiving an SEC comment letter that contains non-GAAP comments decreases with longer auditor tenure.

Practical implications
The results show that regulators need to consider both GAAP and non-GAAP disclosures’ costs and benefits when enacting auditor tenure regulation. Investors can benefit from the findings in evaluating the quality of non-GAAP earnings. The findings are also relevant to the SEC when allocating limited resources in monitoring non-GAAP reporting.

Originality/value
To the best of the authors’ knowledge, this is the first study showing that auditor tenure is associated with the quality of non-GAAP earnings. Given that financial reporting quality should be understood as a comprehensive system comprising both mandatory and voluntary disclosures, this study complements the literature that examines the effect of auditor tenure on financial reporting quality using GAAP reporting.
An analytical approach to understanding construction cost overruns during COVID-19
Authors: Adepu Nikhitha , Kermanshachi Sharareh , Pamidimukkala Apurva , Nwakpuda Emily 
Published: April 2024

PurposeThe building sector is vital to a nation’s economy, as it has a major influence on economic activity and growth, job creations and the advancement of infrastructure. Intricate challenges that are inherent in crises such as the COVID-19 outbreak lead to material scarcities, project delays, labor shortages, escalated expenses, funding challenges, regulatory obstacles and dwindling investment funds, all of which culminate in costs that are in excess of those budgeted. While numerous studies have explored the ramifications of COVID-19 on project budgets, there is little, if any, data available on forecasting the magnitude of this impact.Design/methodology/approachThis investigation seeks to bridge this knowledge deficiency by devising a predictive tool grounded in an ordinal logistic regression method. An online survey was designed and disseminated to gauge the views of construction field experts about the diverse contributors to excessive costs during the viral outbreak, and a predictive tool, crafted from the survey participants’ feedback.FindingsFindings showed that smaller-scale enterprises and contractor-centric establishments faced greater adversities than medium-to-large ones and consultancy-or-owner-type entities.Originality/valueThe insights from this research shed light on the amplified risk of higher project costs amid health crises or analogous events, underlining the imperative need for fortified risk management approaches to bolster project outcomes. By factoring in demographics, this research offers policymakers a refined lens through which to customize interventions and promote balanced and enduring advancement in the construction industry.
From metaverse experience to physical travel: the role of the digital twin in metaverse design
Authors: Deng Baolin , Wong IpKin Anthony , Lian Qi Lilith 
Published: April 2024

PurposeDesigning an effective metaverse experience through a tourism digital-twin platform is crucial to the success of metaverse tourism. How such a digital-twin platform should appeal to target users, however, lacks exploration. The study aims to advance a conceptual contribution by successfully creating a metaverse experience through a well-designed digital-twin platform. It also aims to show how the design science approach in tourism can enrich our understanding of digital-twin platform design elements introduced in metaverse experience design.Design/methodology/approachGuided by the design science approach in tourism, this research conceptualizes the role of digital-twin elements in metaverse experience design and proposes a one-factor between-subject experimental design to examine the effect.FindingsThis research conceptualizes how eight unique configurations of digital-twin design, which are embellished in two or three dimensions, shape tourists’ metaverse experience and physical travel intention.Practical implicationsThe results offer operators clear strategic guidance on designing an effective tourism digital-twin platform.Originality/valueThis study not only identifies the impact of digital-twin platform design elements but also clarifies how such elements affect customers’ metaverse experiences.
Algorithmic Trading and Forward‐Looking MD&A Disclosures
Authors: THOMAS WAYNE B. , WANG YIDING , ZHANG LING 
Published: April 2024

ABSTRACTThis study examines how algorithmic trading (AT) affects forward‐looking disclosures in Management Discussion and Analysis (MD&A) of annual reports. We predict and find evidence that AT relates negatively to modifications in year‐over‐year forward‐looking MD&A disclosures. This evidence is consistent with AT reducing investors’ demand for fundamental information, which reduces managers’ incentives to supply costly forward‐looking disclosures. Cross‐sectional tests provide additional evidence that this negative relation is more pronounced for firms with larger earnings surprises and those with losses. We further validate our conclusion by demonstrating that investors’ fundamental information searches are a channel through which AT affects forward‐looking disclosures. The conclusion is robust to using the SEC's Tick Size Pilot Program as an exogenous shock to AT and to using alternative disclosure measures (e.g., tone revisions and number of sentences in forward‐looking MD&A disclosures). Overall, our study demonstrates that AT is a contributing factor to regulators’ concerns over the diminishing usefulness of forward‐looking information in MD&A disclosures.
Potential impacts of the Common Agricultural Policy's Income Stabilisation Tool on farmers' incomes and crop diversity: A French case study
Authors: Louhichi Kamel , Merisier Daël 
Published: April 2024

AbstractThis paper analyses the potential impacts of a hypothetical implementation of the Income Stabilisation Tool (IST) in France for the field crops sector. The IST is a risk management tool available within the 2014–2020 Common Agricultural Policy (CAP) to support farmers facing a severe drop in their incomes. This analysis was conducted using a farm‐level model relying on expected utility theory and based on positive mathematical programming with risk. The model was applied to a sample of 1375 field crop farms in France derived from Farm Accountancy Data Network (FADN) data. Simulation results show that the uptake rate of the tool is relatively low, less than 37% in all scenarios. It is strongly dependent on CAP public support and on how much premium farmers have to pay. Highest uptake rates are observed in farms specialising in Other Field Crops, such as potatoes, pulses and sugar beet, and farms located in regions highly exposed to climatic risks. Previous experience with insurance favours the acceptance of the IST. Model results also show that the IST improves adopters' income and reduces income inequality. However, its impacts on crop diversity, measured by the Shannon index, are negative.
Reproductive cycles of two island pitvipers species (Serpentes, Viperidae) determined by ultrasonography and radiography
Authors: Garcia Viviane Campos , Almeida‐Santos Selma Maria 
Published: April 2024

AbstractWe used ultrasonography and radiography to assess the sexual organs and characterize the reproductive cycle of captive golden lancehead (Bothrops insularis) and Alcatrazes lancehead (B. alcatraz), two endangered island snake species in Brazil. We assessed 46‐ individuals of golden lancehead and 12 of Alcatrazes lancehead kept in captivity between 2014 and 2020. Follicular development was similar between species, but follicles in Alcatrazes lancehead were smaller than in the golden lanceheads. Female golden lanceheads produced 24 live young, seven stillborn and 73 undeveloped eggs. Parturition of live young occurred between midsummer (February) and early autumn and gestation averaged 8 months. Female Alcatrazes lanceheads produced four live young in midsummer, and one undeveloped egg in early autumn. Males and females of both species have seasonal and biennial reproductive cycles. Sperm storage in both sexes is essential to coordinate male and female cycles. The data obtained with golden lancehead and Alcatrazes lancehead in captivity, demonstrate a degree of conservatism, following data from other Bothrops.
A multicentre neonatal manikin study showed a large heterogeneity in tactile stimulation for apnoea of prematurity
Authors: Ouedraogo Paul , Villani Paolo Ernesto , Natalizi Alessia , Zagre Nicaise , Rodrigues Paula Alexandra Baltazar , Traore Osara Lamoussa , Gatto Daniela , Scalmani Emanuela , Putoto Giovanni , Cavallin Francesco , Trevisanuto Daniele 
Published: April 2024

AbstractAimApnoea of prematurity requires prompt intervention to prevent long‐term adverse outcomes, but specific recommendations about the stimulation approach are lacking. Our study investigated the modalities of tactile stimulation for apnoea of prematurity in different settings.MethodsIn this multi‐country observational prospective study, nurses and physicians of the neonatal intensive care units were asked to perform a tactile stimulation on a preterm neonatal manikin simulating an apnoea. Features of the stimulation (body location and hand movements) and source of learning (training course or clinical practice) were collected.ResultsOverall, 112 healthcare providers from five hospitals participated in the study. During the stimulation, the most frequent location were feet (72%) and back (61%), while the most frequent techniques were rubbing (64%) and massaging (43%). Stimulation modalities different among participants according to their hospitals and their source of learning of the stimulation procedures.ConclusionThere was a large heterogeneity in stimulation approaches adopted by healthcare providers to counteract apnoea in a simulated preterm infant. This finding may be partially explained by the lack of specific guidelines and was influenced by the source of learning for tactile stimulation.
The past, present and future of health geography: An exchange with three long standing participants in the Geographies of Health and Wellbeing Research Group
Authors: Asker Chloe , Gorman Richard , Lowe Thomas Aaron , Curtis Sarah , Moon Graham , Jones Julia 
Published: April 2024

AbstractThis article traces the past, present and future of health geography through the career journeys of three notable academics, Sarah Curtis (SC), Julia Jones (JJ) and Graham Moon (GM). All three of these scholars have had entanglements with the Geographies of Health and Wellbeing Research Group (GHWRG) of the Royal Geographical Society (with the Institute of British Geographers) (RGS‐IBG) throughout their careers, enabling them to shape health geography into the contemporary sub‐discipline that we know today. GHWRG has, for the last 50 years, offered a lively and supportive network for all those interested in the geographies of health and health care, medical geography and all other areas of scholarship related to health and wellbeing that engage with geographical concerns.
The Importance of Linguistic Factors:HeLikes Subject Referents
Authors: Hert Regina , Järvikivi Juhani , Arnhold Anja 
Published: April 2024

AbstractWe report the results of one visual‐world eye‐tracking experiment and two referent selection tasks in which we investigated the effects of information structure in the form of prosody and word order manipulation on the processing of subject pronounserandderin German. Factors such as subjecthood, focus, and topicality, as well as order of mention have been linked to an increased probability of certain referents being selected as the pronoun's antecedent and described as increasing this referent's prominence, salience, or accessibility. The goal of this study was to find out whether pronoun processing is primarily guided by linguistic factors (e.g., grammatical role) or nonlinguistic factors (e.g., first‐mention), and whether pronoun interpretation can be described in terms of referents' “prominence” / “accessibility” / “salience.” The results showed an overall subject preference forer, whereasderwas affected by the object role and focus marking. While focus increases the attentional load and enhances memory representation for the focused referent making the focused referent more available, ultimately it did not affect the final interpretation ofer, suggesting that “prominence” or the related concepts do not explain referent selection preferences. Overall, the results suggest a primacy of linguistic factors in determining pronoun resolution.
Neighbourhood labour structure, lockdown policies, and the uneven spread of COVID‐19: within‐city evidence from England
Authors: Corradini Carlo , Matheson Jesse , Vanino Enrico 
Published: April 2024

AbstractWe estimate the importance of local labour structure in the spread of COVID‐19 during the first year of the pandemic. We build a unique dataset across 6791 English neighbourhoods that distinguishes between people living (residents) and people working (workers) in a neighbourhood, and differentiate between jobs that can be done from home (homeworkers), jobs that likely continued on‐site (keyworkers), and non‐essential on‐site jobs. We find that a 10 percentage points increase in keyworker jobs among residents is associated with 3.15 more cases per 1000 (4.8% relative to the mean), while a 10 percentage points increase in homeworker jobs among residents is associated with a decrease of 7.74 cases per 1000 (11.8% relative to the mean). Results for the composition of workers show the same sign, but smaller magnitudes. A dynamic analysis of the monthly incidence of reported cases shows that these relationships are particularly strong during lockdown periods. These results are heterogeneous across neighbourhoods, with larger positive effect of keyworkers, and lower protective effect of homeworkers, in higher deprivation areas. We explore the role of occupation skill intensity in driving these neighbourhood differences. These findings highlight important asymmetries in the distributional impact of the policy response to COVID‐19.
I, myself, move
Authors: O'Brien Lucy 
Published: April 2024

AbstractThis paper addresses the question “what connection is there between our answer to the question of what we are, and the question, what our actions are?” Suppose that actions are reflexive changes of agents. On that supposition, there would be a direct connection between the answers to those two questions. An action of mine will be a reflexive change of me, and what I am will fix the nature of those changes. I hold that supposition to be true and consider reasons in favor of believing it. However, the paper is not primarily aimed at defense of that thesis. It rather concerned with exploring what consequences accepting it has for the competing notions of what we are, given what we ordinarily think actions are, and bringing to light a tension between thinking of actions as reflexive changes of agents in this way, and a kind of causal understanding of actions that is prevalent. What emerges is that we should shift where we start our theorizing: we cannot assume that action theory primarily involves the task of characterizing the relation between an agent and changes caused, rather than a characterization of a particular kind of relation between the agent and herself.
Distant suffering and digital knowledge politics: New trajectories for critical geography
Authors: Keenaghan Natasha , Reilly Kathy 
Published: April 2024

AbstractThis paper engages theoretical principles from critical human geography, media and communication studies, and development literature to present a research trajectory that unpacks the influence of digital platforms in representing and mediating distant suffering. Critiques of aid and development communication have long focused on concerns around the representation of the Global South as an ‘Othered’ space; powerful and deeply problematic geographical imaginaries become embedded within contemporary dominant discourses of aid and development. As significant sources of aid and development imaginaries, how civil society has mediated distant suffering has been subject to much critique. However, the rapid transition towards engagement with digital platforms necessitates an extension of critical considerations about representation and mediation. For example: what impact do digital platforms, their knowledge politics and representational capabilities have on imaginaries of distant suffering? Digital platforms (such as websites and other social media platforms) are situated within and constituted by (and through) a ‘digital knowledge politics’. These platforms and their mediations still exist within broader social practices and processes, and therefore remain entrenched within the power relations between Global North and Global South. This poses significant questions regarding the role digital platforms (and their representational capabilities) play in producing and mediating representations of distant strangers and their places. Moreover, further gaps within existing research emerge regarding how digital platforms can inform how (and indeed if) the public respond to such discourses. Through identifying key interdisciplinary intersections between critical human geographies and media and communication studies, this paper considers research trajectories that extend critical examinations of the role that digital platforms play in producing and representing aid and development imaginaries.