bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revolutionising construction safety: benefits of harnessing artificial intelligence tools for dynamic monitoring of safety compliance on construction projects in Nigeria
Authors: Adamu Ibrahim Inyass , Okanlawon Taofeek Tunde , Oyewobi Luqman Oyekunle , Shittu Abdullateef Adewale , Jimoh Richard Ajayi 
Published: October 2024

PurposeThis paper evaluates the benefits of harnessing artificial intelligence (AI) tools for safety compliance on construction projects in Nigeria.Design/methodology/approachThis study employed a specialised approach by combining qualitative and quantitative approach. The study carried out a brief systematic literature review (SLR) to identify the variables of the study. These variables were prepared in a questionnaire which was distributed among professionals within the Nigerian construction sector using purposive sampling. A total of 140 questionnaires were retrieved. The collected data were analysed using Relative Importance Index (RII), Ginni’s Mean (GM) and exploratory factor analysis (EFA).FindingsThe analysis revealed that all the identified benefits hold considerable importance, with an average RII of 0.86, with real-time monitoring as the most prominent advantage. However, using the GM which was 0.861, the study identified “mitigation of hazards on worksites” as the stationary benefit of AI in safety compliance.Research limitations/implicationsThe study was conducted exclusively within Nigeria’s Federal Capital Territory, using a cross-sectional survey approach.Practical implicationsThe results will be valuable for professionals and practitioners in the Nigerian construction sector, as they will acquire insights into the potential advantages of utilising AI tools for monitoring of safety compliance on construction projects.Originality/valueThe study adopted a robust approach by identifying the stationary benefit using the GM in combination with RII and EFA.
Investigating the lurking mechanism of SNS users: a comprehensive examination of context-specific cues and role stresses
Authors: Liu Xiaodan , Su Chao , Yin Jin 
Published: October 2024

PurposeSocial networking services (SNS) empower users with a robust capability to connect with others and manage their social relationships. However, as the size of users’ social networks increases, coupled with the inherent boundary-spanning technical features of SNS, users are faced with unprecedented role stresses. This, in turn, leads to maladaptive lurking decisions. This study delves into the mechanism of this technology-induced decision-making process among SNS users.Design/methodology/approachSurvey data were collected from 491 Chinese WeChat Moment users. The model and hypotheses testing were conducted using SmartPLS 4.0.FindingsOur findings indicate that both social network size and boundary spanning have a positive influence on role conflict and role overload. Both role conflict and role overload significantly contribute to SNS fatigue, which further intensifies users’ lurking intention. Furthermore, SNS fatigue fully mediated the relationship between role conflict and lurking intention, and partially mediated the relationship between role overload and lurking intention.Originality/valueOur study offers a fresh viewpoint for comprehending lurking behaviors on SNS, furnishing practical insights for platform providers. Additionally, it paves the way for future research into the deeper mechanisms driving SNS lurking behaviors, by providing a novel construct (i.e. boundary spanning) to distinguish and measure the unique social environment of SNS.
Knowledge sharing among academics in higher education: integrating positive and negative facets of organizational climate
Authors: Fan Zhenyu , Beh Loo-See 
Published: October 2024

PurposeKnowledge sharing is pivotal for the professional development among academics in higher education. However, little research has focused on understanding both the positive and negative facets of organizational climate in relation to knowledge sharing among academics. Based on the theory of planned behavior, this study aims to examine the impact of four facets of organizational climate, i.e. affiliation, trust, competition and individualism, on academics’ subjective norms and intentions regarding knowledge sharing.Design/methodology/approachSurvey data were collected from 532 university faculty staff in China and analyzed using partial least squares structural equation modeling.FindingsResults indicated that affiliation and trust had positive effects on subjective norms regarding knowledge sharing, whereas competition and individualism had negative effects on subjective norms. Furthermore, subjective norms were found to significantly enhance academics’ intentions to share knowledge.Practical implicationsPractical implications are provided on how to cultivate a supportive organizational climate to foster knowledge sharing among faculty staff for enhanced professional capital and competitiveness.Originality/valueThe study contributes to the literature by integrating both the positive and negative facets of organizational climate and highlighting the hindering effects of competition and individualism on knowledge sharing, which have not been fully investigated in the existing literature.
Explaining training and adjustment diversity in multinational enterprises: literal and figurative interpretations
Authors: Mandrinos Symeon , Liew Sat Lin Constance , Ilma binti Salleh Nurul 
Published: October 2024

PurposeThis study emphasises the importance of both literal and figurative interpretations in explaining training and adjustment (cross-cultural) diversity in a multinational enterprise (MNE) context.Design/methodology/approachThe study employs structural equation models applied to employees relocated to a Malaysian subsidiary. It emphasises the importance of distinguishing between measurement, analysis and interpretation. This distinction highlights the need to not only directly quantify variables but also indirectly interpret their relationships to address diversity.FindingsThe findings underscore the significance of figurative interpretation in understanding diversity, particularly at the micro level. Literal interpretation focuses on direct analysis, while figurative interpretation involves an indirect analysis where diversity may not be immediately evident. The study suggests that considering both macro and micro levels is essential in understanding training and adjustment diversity.Originality/valueThis study offers a novel perspective by incorporating both literal and figurative interpretations to deepen the understanding of diversity in international business contexts. It uniquely positions itself by distinguishing between the direct quantification of variables and the indirect interpretation of their relationships. This dual approach enables a more comprehensive understanding of how training, adjustment, compliance with standards and commitment to expectations interact within MNEs. By advocating for figurative interpretation, the study encourages a more holistic analysis that extends beyond surface-level metrics, providing valuable insights for future research. It also paves the way for practitioners to develop strategies that not only address diversity at both macro and micro levels but also foster adaptability within culturally diverse work environments.
Meta‐analysis reveals low language capacity in childhood is associated with mental health problems in adulthood
Authors: Lim Shelby W. Y. , Lum Jarrad A. G. 
Published: October 2024

AbstractBackgroundChildren and adolescents with language problems have poorer mental health compared with their non‐language impaired peers. Less is known about mental health in adults with a history of language problems. This paper presents a systematic review and meta‐analysis that addresses this gap in the literature. Specifically, it summarises the results from studies examining anxiety and depression in adults (aged 18 years and over) who were identified with language impairments or problems earlier in development.Methods & ProceduresFive electronic databases (PsycINFO, ERIC, CINAHL, EMBASE and PubMed) were searched for studies comparing anxiety and/or depression in a sample of adults with and without a history of language problems. Nine studies were found that met the inclusion criteria. From each, an odds ratio (OR) was computed measuring the relationship between childhood language problems and anxiety or depression in adulthood. The OR was computed so values > 1 which indicated anxiety/depression were associated with a history of language problems. ORs were averaged using multilevel random effects meta‐analysis.Outcomes & ResultsAveraging the study's findings across both anxiety and depression outcomes, we found that a history of childhood language problems was associated with poorer mental health in adulthood (OR = 1.79, p = 0.004). The association for anxiety was also significant (OR = 1.80, p = 0.012) and close to statistical significance for depression (OR = 1.60, p = 0.054).Conclusions & ImplicationsThis review reveals that adults with a history of language problems are more likely to experience poorer mental health outcomes compared with controls. These findings demonstrate childhood language problems affect not only communication but also mental health and well‐being in the long term.WHAT THIS PAPER ADDSWhat is already known on the subject
Prior research examining mental health in children and adolescents with language problems reveals a twofold increased risk of internalising problems, including anxiety and depression. However, little is known about mental health outcomes in adults with a history of language problems.
What this paper adds to the existing knowledge
The main finding was that childhood language problems are associated with increased risk of anxiety and depression in adulthood.What are the practical and clinical implications of this work?
First, the study demonstrates childhood language problems increase the risk of poor mental health in adulthood. Second, in adult mental health settings there is a need to screen for language problems and, where applicable, adjust interventions to accommodate communicative needs for patients/clients. Solving these issues requires integration and recognition of the importance of speech–language therapy in the adult mental health system.
U.S. against the world: Authoritarianism among American public servants
Authors: Bednarczuk Michael E. 
Published: October 2024

AbstractWhat is the prevalence of authoritarianism among public servants in the United States, and what are its resulting consequences? Several underlying psychological traits are associated with both authoritarianism and a desire to work in the public sector, such as an aversion to ambiguity and a preference for order and security. Scholarship also suggests that those with high authoritarian attributes may see the world through an ‘us versus them’ prism; in this case, the ‘them’ may be represented by other countries. Therefore, it is hypothesised that those with higher authoritarian attributes are more likely to work in the public sector and that public servants with higher authoritarian attributes are more likely to be sensitive to potential threats to the country. Using six surveys that cover a 20‐year period from the American National Elections Study, both hypotheses are supported. Authoritarian attributes are associated with an increased likelihood of government employment. Additionally, authoritarian public servants tend to support government wiretapping and express greater concern about terrorism. The presence of authoritarianism among public sector employees has implications for a range of governance issues, which makes it important to understand where and to what degree it is prevalent.Points for practitioners
More attention should be devoted to the division and prevalence of authoritarian attributes within public servants .
Checks and oversight mechanisms should be implemented for public sector employees in sensitive areas to help counterbalance potential authoritarian impulses.
Organisational cultures that value openness, evidence‐based policymaking, and tolerance for dissenting viewpoints should be fostered as a counterweight to authoritarian preferences for conformity.
Effect of administration sequence of induction agents on first‐attempt failure during emergency intubation: A Bayesian analysis of a prospective cohort
Authors: Catoire Pierre , Driver Brian , Prekker Matthew E. , Freund Yonathan 
Published: October 2024

AbstractBackgroundEmergency tracheal intubation is associated with a risk of clinical adverse events, including the risk of first‐attempt failure. Induction agents usually include a sedative and a neuromuscular blocking agent (i.e., paralytic). Whether the order of administration (i.e., sedative vs. paralytic given first) is associated with first‐attempt failure or adverse events is unknown.MethodsThis study analyzed data from a single‐center prospective cohort collected from 2021 to 2024 at Hennepin County Medical Center, which included all patients undergoing orotracheal intubation in the emergency department. Patients with no detail on administration sequence order were excluded. A Bayesian logistic regression analysis was used to measure the effect of drug sequence order (sedative first vs. paralytic first). The primary outcome was first‐attempt failure. The key secondary outcome was peri‐intubation hypoxemia (SpO2 < 90%). We estimated the odds ratio (OR), 95% credible interval (CrI), and the probability that the OR was inferior to 1 (existence of an effect) and inferior to 0.9 (significant effect). Frequentist analysis and reanalysis with various priors were performed as sensitivity analyses.ResultsA total of 2216 patients were included for analysis. The most frequently used sedative and paralytic agents were etomidate (88.9%) and rocuronium (77.8%), respectively. The paralytic was given first to 56.6% of the patients. After adjustment for age, sex, body mass index, and sedative and paralytic agents, the OR for a paralytic‐first strategy for first‐attempt failure was 0.73 (95% CrI 0.46–1.02). The probability that the OR was less than 1 was estimated at 95.7% and less than 0.9 at 87.6%. There was a 33.5% and 8.0% probability that administering the paralytic first resulted in an OR < 1 and OR < 0.9 for the risk of hypoxemia, respectively. Sensitivity analyses were consistent with the main results.ConclusionsIn this Bayesian analysis a paralytic‐first drug sequence was associated with reduced first‐attempt failure during emergency tracheal intubation.
Association of circulating adipokines with metabolic measures among people with HIV: Moderating effects of alcohol use
Authors: Simon Liz , Lin Hui‐Yi , Poret Jonquil , Stouwe Curtis Vande , Ferguson Tekeda F. , Welsh David A. , Molina Patricia E. 
Published: October 2024

AbstractBackgroundPeople with HIV (PWH) are at increased risk for cardiometabolic comorbidities. We have reported that lifetime alcohol use among people with HIV (PWH) is associated with increased risk for metabolic syndrome. Dysfunctional adipose tissue and altered circulating adipokines mediate metabolic dysregulation. The objective of this study was to determine the associations of circulating adipokine concentration with metabolic measures, and the moderating effects of lifetime and recent alcohol use in PWH.MethodsThis is a cross‐sectional analysis of data from 357 PWH at their baseline visit of the longitudinal New Orleans Alcohol and HIV (NOAH) study. The concentrations of four circulating adipokines (adiponectin, leptin, resistin, and fatty acid‐binding protein 4 [FABP4]) and their associations with five metabolic measures (triglycerides, cholesterol, Hemoglobin A1c, Homeostatic Model Assessment for Insulin Resistance, and metabolic syndrome) were examined.ResultsHigher circulating adiponectin was associated with increased odds of normal triglyceride, cholesterol, and Hemoglobin A1c levels. Increased leptin and FABP4 concentrations were associated with decreased odds of normal triglyceride and cholesterol levels. Increased leptin and FABP4 concentrations were associated with increased odds of insulin resistance and meeting criteria for metabolic syndrome. Increased circulating resistin concentration was associated with decreased odds of normal triglyceride levels and increased odds of meeting criteria for metabolic syndrome. Additionally, among PWH with increased lifetime alcohol use, higher adiponectin concentration was associated with decreased odds of meeting criteria for metabolic syndrome.ConclusionsThese data suggest the interplay between adiponectin, leptin, FABP4, and resistin may contribute to metabolic stability among PWH. Moreover, lifetime, but not recent, alcohol use moderates the relationship between adipokines and metabolic measures. These data highlight the relevance of functional adipose tissue mass and associated circulating adipokine levels in maintaining metabolic homeostasis, and its moderation by lifetime alcohol consumption.
Case of Successful Sympathetic Nerve Modulation by Targeted Heavy Ion Radiotherapy for Idiopathic Ventricular Tachycardia
Authors: Amino Mari , Wakatsuki Masaru , Mori Shinichiro , Shimokawa Takashi , Kabuki Shigeto , Kunieda Etsuo , Hashimoto Jun , Yamashita Takashi , Yagishita Atsuhiko , Ikari Yuji , Yoshioka Koichiro 
Published: October 2024

ABSTRACTNon‐invasive radioablation using stereotactic body radiation therapy with X‐ray has been proposed as a rescue treatment for refractory ventricular tachycardia (VT). However, there are concerns about the occurrence of late valvular or coronary disease. We treated VT originating from the aortic sinus cusp using the Bragg peak principle of a heavy ion beam, minimizing the dose to the aortic valve and coronary artery and providing an anti‐arrhythmic effect and cardiac function recovery due to improved sympathetic nerve heterogeneity. We present a method for targeting sympathetic nerve distribution using 123I‐metaiodobenzylguanidine scintigraphy.
Grading of diabetic retinopathy using a pre‐segmenting deep learning classification model: Validation of an automated algorithm
Authors: Similié Dyllan Edson , Andersen Jakob K. H. , Dinesen Sebastian , Savarimuthu Thiusius R. , Grauslund Jakob 
Published: October 2024

AbstractPurposeTo validate the performance of autonomous diabetic retinopathy (DR) grading by comparing a human grader and a self‐developed deep‐learning (DL) algorithm with gold‐standard evaluation.MethodsWe included 500, 6‐field retinal images graded by an expert ophthalmologist (gold standard) according to the International Clinical Diabetic Retinopathy Disease Severity Scale as represented with DR levels 0–4 (97, 100, 100, 103, 100, respectively). Weighted kappa was calculated to measure the DR classification agreement for (1) a certified human grader without, and (2) with assistance from a DL algorithm and (3) the DL operating autonomously. Using any DR (level 0 vs. 1–4) as a cutoff, we calculated sensitivity, specificity, as well as positive and negative predictive values (PPV and NPV). Finally, we assessed lesion discrepancies between Model 3 and the gold standard.ResultsAs compared to the gold standard, weighted kappa for Models 1–3 was 0.88, 0.89 and 0.72, sensitivities were 95%, 94% and 78% and specificities were 82%, 84% and 81%. Extrapolating to a real‐world DR prevalence of 23.8%, the PPV were 63%, 64% and 57% and the NPV were 98%, 98% and 92%. Discrepancies between the gold standard and Model 3 were mainly incorrect detection of artefacts (n = 49), missed microaneurysms (n = 26) and inconsistencies between the segmentation and classification (n = 51).ConclusionWhile the autonomous DL algorithm for DR classification only performed on par with a human grader for some measures in a high‐risk population, extrapolations to a real‐world population demonstrated an excellent 92% NPV, which could make it clinically feasible to use autonomously to identify non‐DR patients.
Reference values for cerebral and peripheral tissue oximetry in children: A clinical TD‐NIRS study
Authors: Calcaterra Valeria , Lacerenza Michele , Rossi Virginia , Zanelli Sara , Contini Davide , Amendola Caterina , Buttafava Mauro , Torricelli Alessandro , Zuccotti Gianvincenzo 
Published: October 2024

AbstractAimCurrent non‐invasive near‐infrared spectroscopy (NIRS) tissue oximetry suffers from suboptimal reproducibility over probe repositioning, hindering clinical threshold establishment. Time Domain‐NIRS (TD‐NIRS) offers higher precision but lacks sufficient paediatric data, preventing effective clinical application. We aimed to establish reference ranges for cerebral and mid‐upper arm (MUA) tissue haemodynamics in paediatric subjects using TD‐NIRS and explore correlations with auxological variables.MethodsTD‐NIRS measurements were conducted acquiring data from cerebral and MUA regions with the NIRSBOX tissue oximeter. Morphological and clinically relevant information were collected to explore potential correlations with TD‐NIRS derived parameters.ResultsTD‐NIRS assessment was applied in 350 children (8.4 ± 5.0 years). Precision of TD‐NIRS was demonstrated with standard deviations of 0.9% (StO2) and 4.2 μM (tHb) for frontotemporal cerebral cortex, and 0.8% (StO2) and 3.7 μM (tHb) for MUA. No user dependency was observed. The trends of values for cerebral and peripheral regions vary differently according to age and auxological parameters.ConclusionThis study reports resting‐state optical and haemodynamic values for a healthy paediatric population, providing a foundation for future investigations into clinically relevant deviations in these parameters. Furthermore, correlations with anthropometric and demographic values provide valuable insights for a deeper understanding of tissue haemodynamic evolution in childhood.
The Shifting and Permeable Boundaries of Auditing: Evidence from Early Australian Examination Papers
Authors: Potter Brad 
Published: October 2024

AbstractThe Colin Ferguson Oration is the address given to attendees at the annual Australia Accounting Hall of Fame dinner and presentation evening. It is an invited oration, whereby an eminent modern‐day leader addresses the audience on matters at the intersection of business, government and the academe as they relate to the rich history, the current state and/or the future direction of the accounting profession. The oration is named in honour of Professor Colin Ferguson (1949–2014). Colin was the key figure driving the inception of the Australian Accounting Hall of Fame. In a decorated academic career, he worked tirelessly for many years and with great distinction at the intersection of accounting thought and practice encompassing auditing, forensic accounting and accounting information systems, so it was only fitting that this oration is named in his honour. This year's oration was delivered by Brad Potter, an Associate Professor of Accounting and a Director of the Centre for Accounting and Industry Partnerships at the University of Melbourne. Brad's research and consulting experience encompasses financial accounting and disclosure for both private sector and public sector entities. In particular, he has successfully managed and coordinated research projects involving the Australian Accounting Standards Board, National Water Commission, CPA Australia, the Institute of Chartered Accountants, Australia, Royal Botanic Gardens and the Institute of Public Accountants (IPA). This year's oration uses a unique dataset to gain insights into the development of the auditing profession, a topic of interest to academe, practitioners and standard‐setters, and one that is eminently suitable for publication in the Australian Accounting Review.