bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical and asymptotic solutions of the unsteady mixed convection boundary-layer flow over an expanding/contracting vertical cylinder
Authors: Merkin John H. , Lok Yian Yian , Pop Ioan 
Published: October 2022

PurposeThe purpose of this study is to obtain both the numerical and asymptotic solutions of the unsteady mixed convection flow and heat transfer over an expanding or contracting cylinder which is placed vertically.Design/methodology/approachSolutions of the governing ordinary (similarity) differential equations for the fluid flow and temperature field are obtained using the function bvp4c from MATLAB. The problem involves the Prandtl numberσ, the mixed convection parameterλand unsteadiness parameterSthat characterize an expanding or contracting cylinder. This solution approach is capable of producing multiple solutions once the necessary assumptions are provided.FindingsIt is found that solutions exist for all negative values ofS, expanding cylinder, and only for small positive values ofS, contracting cylinder. Further, more than one solution is observed; numerical computation shows that the critical point ofSbecomes singular asλapproaching zero. For the case of expanding cylinder, the mixed convection parameter has a significant effect on both the flow and heat transfer characteristics. Asymptotic analysis also shows that whenσis large, dual solutions exist for some values ofSandλ.Originality/valueThe present results are new and original for the study of the unsteady mixed convection flow and heat transfer over an expanding/contracting cylinder where numerical solutions are obtained for representative values of the involved parameters. Asymptotic solutions for largeλand largeσare derived.
A systematic review for a highly accessible green roof for Malaysian public institution buildings
Authors: Ali Ariff Azlan Ariff , Ahmad Zawawi Emma Marinie , Yunus Julitta , Kwong Qi Jie 
Published: October 2022

Purpose
Despite its worldwide reputation as an effective solution to sustainable building development and energy efficiency, green roofs in Malaysian cities are rarely accessible. The architecture of the building primarily influences public accessibility, crime watch and safety level and events that encourage the public's engagement, which is evident in crowd density. The purpose of this paper is to discuss the social potential of highly accessible Malaysian green roofs as public space, initiated by the lack of local published material discussing on this topic.

Design/methodology/approach
This study reviews the current issues concerning limited public accessibility on Malaysian public institution green roofs by systematic literature review and thematic analysis by comparing the effectiveness of applicable public space strategies on the green roof.

Findings
The criteria that have been identified and considered as study parameters include architecture, safety and surveillance, and active functions. Through systematic review of available literature, these characteristics contribute positively to public participation within the public realm.

Social implications
The exploration of the social potential would establish a green roof as a thriving public space that welcomes the public from all ages and backgrounds, addressing the general public accessibility towards outdoor recreational areas, especially within dense urbanisation with diminishing green spaces.

Originality/value
This research highlights the key characteristics of the highly functional public space that could be applied in developing a guideline for designing future green roofs with high accessibility potential for the public in the city area, in parallel with the anticipated future growth in demand for green roofs infrastructure surrounding public buildings.
Coping with the COVID-19 pandemic: evidence from the apparel industry in Bangladesh and China
Authors: Su Jin , Hodges Nancy Nelson , Wu Huicheng (Jeff) , Iqbal Md Arif 
Published: October 2022

PurposeThe purpose of this study was to understand the impact of the coronavirus disease (COVID-19) pandemic on the global textile and apparel supply chain from the perspectives of industry professionals within the two leading production countries: Bangladesh and China.Design/methodology/approachApplying the theory of dynamic capabilities, a qualitative research design was employed using interviews with a total of 33 apparel industry practitioners, 15 in Bangladesh and 18 in China.FindingsFindings indicate that four factors primarily impacted the extent to which COVID-19 disrupted a firm's supply chain: firm size, channel diversification, sourcing method and product type. Viewed through the lens of the theory of dynamic capabilities, findings point to the need for firms to address the challenges brought about by supply chain disruptions by creating opportunities.Originality/valueIt is important to understand the impact of COVID-19 in real time and within the two largest textile and apparel–producing countries globally, as they have borne much of the brunt of the supply chain disruptions brought on by COVID-19. This empirical study makes contributions to the apparel supply chain literature as it provides an in-depth investigation of what textile and apparel firms in China and Bangladesh have learned from the COVID-19 experience to better prepare for future unexpected global events.
Bi-directional work-family conflict of home-based teachers in Taiwan during COVID-19: application of job demands-resources model
Authors: Hsieh Chuan-Chung , Liang Jyun-Kai , Li Hui-Chieh 
Published: October 2022

PurposeDrawing from the conservation of resource theory and the job demands-resources model, this study examines the bi-directional conflicts of work and family during COVID-19, and investigates the online teaching work-related antecedents and the mechanism shaping emotional exhaustion of teachers in Taiwan. Moreover, this study explores mindfulness in teaching as a possible moderator.Design/methodology/approachData for analysis were collected from elementary school teachers via an online survey using a questionnaire comprising well-developed scales. The hypotheses were validated using structural equation modeling.FindingsResults show that only family interfering with work conflict mediates the positive relationship of online teaching job demand with emotional exhaustion and negative relationship of online teaching job resource with emotional exhaustion. Results also evidence that mindfulness practiced by teachers can help them perceive their own feelings and thoughts non-judgmentally in face of job demands.Originality/valueWith the growing work-from-home trend, the current study revisits the impact of work demands and resources on work-family conflict, and examines whether Taiwanese teachers' perception towards online teaching would lead to different observations. The path that JD→WIF conflict→EE is well established in the literature, while COVID-19 brings to light another path JD→FIW conflict→EE, revealing insight into teachers' cognition and plight during the pandemic.
Digital transformation for maritime logistics capabilities improvement: cases in Indonesia
Authors: Iman Nofie , Amanda Muhammad Tafdhil , Angela Jovita 
Published: October 2022

PurposeThe authors have faced rapid technological developments over the past few years. Still, the authors face challenges of maritime supply chain inefficiency, high costs and the low competitiveness of Indonesian ports. In line with the flow of this research, the purpose of this paper is to conceptualise best practices to improve port connectivity, which impacts improving maritime logistics capabilities in Indonesia that are relevant to the current situation.Design/methodology/approachThe authors utilise surveys and interviews as a data collection method, where several sources were actors in the maritime logistics industry. The authors also use secondary data from the Ministry of Transport of the Republic of Indonesia, online databases as well as trade magazines and newspapers. This paper conducts a multiple case study and principal component analysis (PCA) to meet the research objectives.FindingsThe intention to use port digitisation services will increase if the perceived usefulness of the service also increases. Also, if the negative coefficient of user trust rises, it will bring a very sharp decrease in customers' intentions to use. Furthermore, the high estimated value of context indicates that users expect to have a good experience using the application and bring benefit to their business.Originality/valueBased on the authors’ knowledge, there has been no review about port digitalisation, specifically in Indonesia. The authors initially provided best practices to improve port connectivity, which can impact improving maritime logistics capabilities.
Exploring the sociotechnical system of Chinese internet literature online forums: a social network analytical approach
Authors: Tang Muh-Chyun , Jung Yu-En , LI Yuelin 
Published: October 2022

PurposeChinese internet literature (CIL) platforms afford freedom for creative expression and opportunities for direct interactions between writers and fans and among fans. Enabled by these platforms' technological and commercial arrangement, a new form of literary production and consumption has emerged, the most significant of which is the role of fans participation. A social network analysis of the interaction patterns in online fan communities was conducted to investigate fan communication activities at scale. Of particular interest is how the socio-technical system of the site influences its network topology.Design/methodology/approachOnline forums for 10 popular fiction titles in Qidian, the leading CIL platform, were analyzed. Social networks were constructed based on a post–reply–reply threaded discussion structure. Various aspects of fan interactions were analyzed, including number of replies per post, post length and emerging network patterns.FindingsSimilarities in network topology shared by CIL fan forums and other online communities, such as small-world and scale properties, were discovered; however, distinct network dynamics were also identified. Consistent with previous findings, writers and moderators, along with a few highly ranked fans, occupied the central positions in the network. This was due to their social roles and the nature of their posts rather than, as the conventional explanation goes, preferential attachment.Originality/valueThe findings demonstrate how community-specific circumstances and norms influence interaction patterns and the resultant network structure. It was revealed that in the CIL sites, the users adopted the technologies in unexpected ways. And the resulting network topology can be attributed to the interplay between the sites' official arrangement and users' adaptive tactics.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-11-2021-0596.
Critical analysis of Lean Six Sigma black belt certification courses offered in Brazil
Authors: Louzada Paula de Santi , Sigahi Tiago F.A.C. , Moraes Gustavo Hermínio Salati Marcondes de , Rampasso Izabela Simon , Anholon Rosley , Antony Jiju , Cudney Elizabeth A. 
Published: October 2022

PurposeThis study aims to present an overview and analyze the Lean Six Sigma Black Belt (LSSBB) certifications offered by institutions operating in Brazil.Design/methodology/approachThis research analyzed LSSBB certification courses offered by 48 institutions in Brazil by comparing the syllabi of the classes to the reference model proposed by the American Society for Quality (ASQ) in the Six Sigma Black Belt Body of Knowledge. This study employed the content analysis technique and hierarchical cluster analysis to analyze the data.FindingsThe results revealed a lack of standardization in the content of Lean Six Sigma (LSS) training in Brazil. 100% of the LSSBB courses analyzed covered four of the 108 techniques recommended by the ASQ Body of Knowledge (i.e. data types, measurement scales, sampling, and data collection plans and methods). In contrast, more than 75% of the courses covered all techniques related to the macro areas of organization-wide planning and deployment, organizational process management and measures, measure, and improve. The major shortcoming of LSS training is related to the macro area Design for Six Sigma framework and methodologies. LSS training is offered in a highly concentrated area in Brazil, the wealthiest region, where universities play a crucial role in disseminating LSS.Originality/valueThe literature lacks studies that critically examine LSS certification courses. There is little research on LSS in Brazil and there are no studies on LSS training in this country.
Are Janus kinase inhibitors safe and effective in treating the key clinical domains of psoriatic arthritis? A systematic review and meta‐analysis
Authors: Harkins Patricia , Burke Eoghan , Swales Catherine , Silman Alan , Conway Richard 
Published: October 2022

AbstractObjectivesPsoriatic arthritis (PsA), is a complex inflammatory arthropathy with a heterogenous spectrum of disease presentation. Despite the vast therapeutic armamentarium, disease control in a considerable proportion of patients is suboptimal. The aim of this study was to assess the safety and efficacy of Janus kinase inhibitors (JAKi), in the management of key clinical domains of PsA including peripheral arthritis, psoriasis, enthesitis and dactylitis.MethodRandomized placebo‐controlled trials (RCTs) of JAKi in PsA were identified by a systematic literature search using EMBASE, PubMed and CENTRAL. All included studies underwent meta‐analysis.ResultsA total of 5 RCTs were included. Patients were randomized to tofacitinib (n = 474), filgotinib (n = 65), upadacitinib (n = 1281) or placebo (n = 937). JAKi treatment was associated with superior efficacy across all primary outcome measures vs placebo: American College of Rheumatology (ACR) 20 (risk ratio [RR] 2.10, [95% CI 1.86–2.37], P < .00001, I2 = 19%); ACR 50 (RR 3.43, [95% CI 2.37–4.96], P < .00001, I2 = 66%); ACR 70 (RR 4.57, [95% CI 1.83–11.44], P = .001, I2 = 82%); Psoriasis Area and Severity Index 75 (RR 2.96, [95% CI 2.44–3.58], P < .00001, I2 = 0%); enthesitis resolution (RR 1.82, [95% CI 1.56–2.12], P < .00001, I2 = 0%); and dactylitis resolution (RR 1.85, [95% CI 1.57–2.16], P < .00001, I2 = 0%). JAKi were associated with an overall increased risk of adverse events (RR 1.14, [95% CI 1.07–1.21], P = .0001, I2 = 0%) with increased risk of infection (RR1.23, [95% CI 1.08–1.39], P = .001, I2 = 0%) vs placebo.ConclusionThis pooled analysis demonstrates the efficacy of JAKi in treating key clinical domains of PsA. However, they are associated with an increased risk of adverse events, including infection. Further studies are required to corroborate these findings and further elucidate the safety profile.
A scalable health system model to achieve high coverage and quality of Kangaroo mother care in Uttar Pradesh, India
Authors: Kumar Aarti , Tiwari Madhuri , Krishna Raghav , Singh Pramod Kumar , Sahu Arti , Singh Vivek , Mishra Aman , Kumar Pankaj , Kumar Alok , Darmstadt Gary L. , Kumar Vishwajeet 
Published: October 2022

AbstractAimTo design a health system model for scaling‐up Kangaroo mother care (KMC) and assess its impact on the population‐level coverage and quality of KMC in Uttar Pradesh, India.MethodsWe co‐developed the model with mothers and health system stakeholders using human‐centred design over multiple cycles of implementation, learning and data‐driven refinement. Infants with birthweight <2000 g in the study district were prospectively followed to assess the ‘effective coverage’ of KMC. Effective coverage referred to the proportion of eligible infants receiving ≥8 h of daily skin‐to‐skin contact and exclusive breastfeeding.ResultsHigh delivery load facilities were equipped with a KMC Lounge to ensure comfort, respectful care of mothers and high‐quality KMC over prolonged periods. Systems to ensure weighing at birth, referral of infants with birthweight <2000 g to KMC facilities, initiation of KMC for all stable low birthweight infants, improving quality of care within KMC facilities and supporting families to continue KMC at home post discharge, were integrated into existing services. KMC was initiated in 93.3% of eligible infants with effective coverage of 52.7% and 64.8% at discharge and 7 days post discharge, respectively.ConclusionThe model addressed critical barriers to KMC implementation and adoption, contributing to its scale‐up across the state.
Loneliness predicts physical and mental health‐related quality of life over 9 months among patients with coronary heart disease
Authors: Fan Yunge , Ho Moon‐Ho Ringo , Shen Biing‐Jiun 
Published: October 2022

AbstractThis study investigated whether loneliness would predict physical and mental health‐related quality of life (HRQoL) over 9 months and examined whether medical adherence would mediate their associations in patients with coronary heart disease (CHD). The overall design is a three‐wave longitudinal study. A sample of 255 outpatients with CHD was recruited from a community‐based cardiac rehabilitation programme. Participants, with a mean age of 63 years, completed measures assessing loneliness, depression and physical and mental HRQoL at baseline. Medical adherence was assessed at 3 months, and physical and mental HRQoL were reassessed at 9 months. A total of 88% of participants reported moderate or high loneliness. Baseline loneliness predicted physical and mental HRQoL at 9 months after adjusting for baseline physical and mental HRQoL, respectively. The effects remained significant when depression was also adjusted. Medical adherence at 3 months partially mediated the associations of baseline loneliness with 9‐month physical and mental HRQoL. Findings underline the necessity of assessing loneliness for CHD patients to promote long‐term medical adherence and further improve physical and mental HRQoL.
Cyclical shocks and spatial association of Indonesia's district‐level per capita income
Authors: Kataoka Mitsuhiko 
Published: October 2022

AbstractOur exploratory spatial data analysis covered Indonesia's district‐level per capita incomes for 2004–2018 and found statistical evidence of a weak but monotonically increasing positive spatial association. The spatial income clusters/outliers were scattered nationwide and expanded geographically. Applying the filtering method, we found that regional cyclical shocks significantly influenced spatial association, largely in resource‐rich districts, and identified the locations of persistent spatial association that were immune to shocks. We also specified new development targets, showing the adjacent coexistence of low‐income agrarian clusters with high‐income mining clusters in the undeveloped Papuan provinces. The overall national average is moving toward the narrowing of inter‐district income disparities. However, nearly half of all districts have widened the income disparities with their neighbors; shocks increased income gaps rather than narrowing them.
Do higher‐quality nighttime lights and net primary productivity predict subnational GDP in developing countries? Evidence from the Philippines
Authors: Pagaduan Jesson A. 
Published: October 2022

AbstractNighttime lights (NTL) data from satellites are a useful proxy for local economic activity in developing countries where economic data are sparse. Yet most analyses use the flawed DMSP NTL data, a poor proxy for GDP in less densely populated and highly agricultural rural areas. In this article, we augment a novel NTL dataset of the newer and better VIIRS NTL data with more ubiquitous remotely sensed data, namely, net primary productivity (NPP) and land cover, and we test whether these satellite data predict subnational GDP in both urban and rural sectors of the Philippines. The results confirm that the higher‐quality VIIRS NTL data predict urban economic activity sufficiently well for both light‐intense and dimly lit regions but still do not explain rural economic activity very well. The use of croplands NPP as an intensive measure of agricultural productivity, however, dramatically improves the performance of land cover as a proxy. We demonstrate that remotely sensed data can be useful in various applications, including evaluating the long‐run dynamics of province‐level GDP growth, the local impact of natural disasters, and the effects of infrastructure projects at the city and municipal levels. Such applications point toward the need for empirical analysis of growth at finer scales of aggregation.
Rejoinder: A Formal Causal Interpretation of the Case-Crossover Design
Authors: Shahn Zach , Hernán Miguel A. , Robins James M. 
Published: October 2022

Abstract
We thank the discussants for their insightful commentary and questions. In our rejoinder, we extend our analysis to additional settings, control strategies, and sources of bias relevant to how case-crossover is often used in practice, as suggested by multiple discussants. In particular, we consider: control exposures that follow occurrence of events, settings with shared exposure trajectories (which are common in case-crossover studies of effects of air pollution), bias due to non-transient treatment effects, removing bias due to time trends in treatment using control subjects, and extending our results to the continuous time setting. We also take the opportunity to clarify an easily misinterpreted comment we made about collapsibility, which we thank Andersen and Martinussen for highlighting. Throughout, in the spirit of the discussants. contributions, we iterate between general bias formulas and simulations and numerical studies from illustrative simplified scenarios to build insight.
The lasting impact of family and domestic violence on neonatal health outcomes
Authors: Orr Carol , Kelty Erin , Fisher Colleen , O'Donnell Melissa , Glauert Rebecca , Preen David B. 
Published: October 2022

AbstractObjectivesTo compare the health of neonates born to women who experienced family and domestic violence (FDV) 12 months prior to birth, with the health of neonates born to women with an earlier history of FDV and women with no history of FDV.MethodsA retrospective cohort of women who experienced FDV within 12 months of birth (antenatal FDV [AFDV]) (n = 1230) was identified using data from the Western Australia (WA) Police Force Incident Management System and WA Hospital Morbidity Data Collection. Two comparison cohorts were used, the first including women with a history of FDV (HFDV) 12–60 months prior to birth (n = 1549) and the second with no history of FDV (NFDV) recorded (n = 3690). Hospital, birth, mortality, and congenital anomaly data were used in generalized linear models to examine and compare neonatal health outcomes.ResultsWomen in the AFDV group had higher proportions of factors associated with poor neonatal outcomes including smoking (42.4%), substance use (23.0%), and mental health disorders (34.8%). Neonates born to AFDV mothers had significantly higher odds of congenital anomalies (OR: 1.51, 95% CI: 1.18–1.94), low birth weight (1.74, 1.45–2.10), and preterm birth (1.48, 1.22–1.79) compared with neonates born to NFDV mother. Neonatal health outcomes in those born to AFDV women were not significantly different from those born to HFDV women.ConclusionsAntenatal and historical FDV were associated with poor neonatal health outcomes. Additional pregnancy and social support should be offered to women who have experienced FDV during or prior to pregnancy.