bluuebunny/crossref_metadata_2025_split huggingface dataset:
Haq Allah Hu: tourists' phenomenological experiences of visiting shrines as Islamic spiritual destinations
Authors: Kamal Ahsan , Kashif Muhammad 
Published: August 2022

PurposeOver the years, shrines have been ignored as a destination by islamic marketing scholars. However, shrines can be classified as Islamic spiritual destinations which are visited by people to serve various purposes. Moreover, in the country context of Pakistan with its beautiful cultural traditions and the religiousness among people, the visit to a shrine as a destination experience is scantly examined. This study fills this void and aims at exploring Muslim tourists' spiritual experiences of visiting shrines as Islamic spiritual destinations.Design/methodology/approachAn interpretive qualitative inquiry is used based on phenomenology as the leading methodology for this exploration. Following a purposive sampling technique, researchers interviewed 10 informants who regularly visit shrines. The collected data are analyzed based on thematic analysis.FindingsThe results of a thematic analysis reveal six themes that emerged from tourists' experiences of Islamic spiritual destinations. These include: religious and spiritual values, spiritual belief system, commercial experience, hospitality and support experience, socialization experience and obstruction experience.Practical implicationsThe findings of this study can be used by policymakers managing Islamic tourist destinations. It will help them to improve tourist experiences.Originality/valueThe findings contribute to both theory and practice of destination marketing by exploring the factors influencing tourists' perceptions about their experience of Islamic spiritual destinations.
How do institutional investors influence accounting conservatism in China?
Authors: Zhang Dan , Ma Shiguang , Pan Xiaofei 
Published: August 2022

AbstractUsing a sample of Chinese listed firms from 2003 to 2015, we find that domestic mutual funds have negative effects while qualified foreign institutional investors (QFIIs) have positive effects on firm accounting conservatism. These effects become stronger when their ownerships are closer to that of the controlling shareholder, respectively. Furthermore, these results are more pronounced when institutional investors are more able to monitor managers and compete with controlling shareholders. Our findings suggest that the influence of institutional investors on accounting conservatism in China is subject to their identities as well as the control contestability against the controlling shareholders.
Induction of immunogenic cell death in murine colon cancer cells by ferrocene‐containing redox phospholipid polymers
Authors: Kaneko Masahiro , Yamaguchi Akio , Ito Akira 
Published: August 2022

AbstractImmunogenic cell death (ICD), activated by damage‐associated molecular patterns (DAMPs), is an apoptotic cell death process that elicits antitumor immunity. Although anticancer drugs that can induce ICD are promising for cancer treatment, the design strategy for ICD inducers remains unclear. In this study, we demonstrated the cell‐penetrating redox phospholipid polymer poly(2‐methacryloyloxyethyl phosphorylcholine‐co‐vinyl ferrocene) (pMFc) inducing ICD in murine colon cancer CT26 cells. pMFc produced oxidative stress by extracting electrons from CT26 cells and induced the release of DAMPs, such as calreticulin, adenosine triphosphate, and high‐mobility group box 1. Moreover, the injection of pMFc‐treated CT26 cells inhibited tumor formation in subsequently challenged CT26 cells, indicating that pMFc elicited antitumor immunity through ICD. Using in vivo therapy, intratumoral injections of pMFc induced complete tumor regression in 20% (1/5) of mice. These results suggested that the redox phospholipid polymer provides a new option for ICD‐inducing anticancer polymers.
Intentions and confidence as predictors of mental health first aid: Findings from a longitudinal study
Authors: Usmani Aliya , Morgan Amy J. , Reavley Nicola J. 
Published: August 2022

AbstractBackgroundMental health first aid (MHFA) training can improve confidence and intention to help a person with a mental health problem, but there is limited research exploring whether this results in better support provided. This study aims to evaluate the relationship between a person's confidence and intention to help with the quality of support provided.MethodsAustralian public servants who had received MHFA training or Physical First Aid training (n = 152) completed questionnaires exploring attitudes and skills for assisting someone at work with a mental health problem. Data on confidence and intention to help was used to predict quality of support provided at 1 and 2‐year follow‐up. Data were analysed using linear and logistic regression.ResultsIntention to help predicted the quality of support for assisting someone at work at follow‐up (rs=0.15−0.20, p < .0.05), while confidence in providing help only predicted quality of support 1‐year later (rs = 0.42, p = .032). These relationships were significantly attenuated after controlling for personal stigma, desire for social distance, gender, age, language spoken at home, level of education and whether participant managed staff. Furthermore, there were some large associations between intentions to perform specific first aid actions and carrying out the same action at follow‐up such as for encouraging professional help at 2‐year follow‐up (OR=8.20, p < 0.05).ConclusionFindings indicate that intended actions to support a person with a mental health problem can predict the quality of support provided up to 2 years later. Future research should clarify whether this support benefits the mental health of recipients.
Feminized cultural capital at work in the moral economy: Home credit and working‐class women
Authors: Marks Abigail , Terry Esme , Canduela Jesus , Dakessian Arek , Christopoulos Dimitris 
Published: August 2022

AbstractOne of the defining features of the home credit sector is the role played by its agents—workers who act as intermediaries between lending companies and borrowers to facilitate lending and collect repayments. There is a prevailing and pervasive narrative in the sector that women make superior agents, largely based on the belief that female agents can manage relationships with borrowers more successfully than their male counterparts. This article analyzes data from 349,078 home credit accounts (loans), as well as 71 interviews with home credit agents and lending company managers, to evaluate both the myths and realities of women's roles in home credit. The data is also used to explore the opportunities for—and potential constraints on—women's career progression in home credit work, based on an understanding of the moral economy in which they operate. By exploring the moral economy of low‐income communities, the article highlights the role of working‐class women's cultural capital within the labor market. Despite women forming the majority of the agent workforce in home credit, women's capital is undervalued in comparison with their male counterparts' capital. The analysis within this article allows a greater understanding of the highly classed and gendered nature of the moral economy of low‐income communities and the exchange value of women's capital within the labor market.
Validation of the ultra‐short scale for measuring work engagement among social workers in Chinese contexts
Authors: Su Xuebing , Wong Victor , Yip Charlie 
Published: August 2022

AbstractBased on 683 valid questionnaires collected among a convenience sample of social workers from Hong Kong, Macau and three other cities in mainland China, this study investigated the psychometric properties of the Chinese version of the three‐item ultra‐short Utrecht Work Engagement Scale (C‐UWES‐3). The results of confirmatory factor analyses supported the discriminant validity of C‐UWES‐3 by differentiating its three items from other five items measuring emotional exhaustion and role ambiguity. The concurrent validity of C‐UWES‐3 was supported by its superior explanatory power to the original nine‐item version of the scale (C‐UWES‐9) in relation to explaining social workers' turnover intention. The convergent validity of C‐UWES‐3 was supported by its correlations vis‐à‐vis factors in the job demands‐resources model such as job demands, job resources, turnover intention and collective psychological ownership. The C‐UWES‐3 showed good internal consistency (Cronbach's alpha = 0.81). Overall, the C‐UWES‐3 demonstrates excellent psychometric properties for informing future research.
Estimation of the post-mortem interval by modelling the changes in oral bacterial diversity during decomposition
Authors: Zhao Xingchun , Zhong Zengtao , Hua Zichun 
Published: August 2022

AbstractAimsDecomposition, a complicated process, depends on several factors, including carrion insects, bacteria and the environment. However, the composition of and variation in oral bacteria over long periods of decomposition remain unclear. The current study aims to illustrate the composition of oral bacteria and construct an informative model for estimating the post-mortem interval (PMI) during decomposition.Methods and ResultsSamples were collected from rats' oral cavities for 59 days, and 12 time points in the PMI were selected to detect bacterial community structure by sequencing the V3–V4 region of the bacterial 16S ribosomal RNA (16S rRNA) gene on the Ion S5 XL platform. The results indicated that microorganisms in the oral cavity underwent great changes during decomposition, with a tendency for variation to first decrease and then increase at day 24. Additionally, to predict the PMI, an informative model was established using the random forest algorithm. Three genera of bacteria (Atopostipes, Facklamia and Cerasibacillus) were linearly correlated at all 12 time points in the 59-day period. Planococcaceae was selected as the best feature for the last 6 time points. The R2 of the model reached 93.94%, which suggested high predictive accuracy. Furthermore, to predict the functions of the oral microbiota, PICRUSt results showed that energy metabolism was increased on day 3 post-mortem and carbohydrate metabolism surged significantly on days 3 and 24 post-mortem.ConclusionsOverall, our results suggested that post-mortem oral microbial community data can serve as a forensic resource to estimate the PMI over long time periods.Significance and Impact of the StudyThe results of the present study are beneficial for estimating the PMI. Identifying changes in the bacterial community is of great significance for further understanding the applicability of oral flora in forensic medicine.
Development of a predictive model for bovine leukemia virus proviral load
Authors: John Emily E. , Droscha Casey , Cameron Marguerite , Stryhn Henrik , Keefe Greg , McClure J Trenton 
Published: August 2022

AbstractBackgroundThere is currently no commercially available method in Canada to identify bovine leukemia virus (BLV)‐positive cows with high proviral load (PVL).ObjectivesFirst, develop a model to predict PVL using common, commercially available, cost‐effective diagnostic tests. Second, investigate the relationship between lymphocyte count and PVL in BLV‐positive cows.AnimalsA total of 339 BLV‐positive and 62 BLV‐seronegative cows on 15 dairy farms.MethodsCross‐sectional study. Blood and milk samples were collected from all lactating BLV‐positive cows on each farm and 5 to 10 BLV‐seronegative cows depending on herd size. Blood and milk samples were tested for anti‐BLV antibodies using enzyme‐linked immunosorbent assay (ELISA). Complete blood counts were performed on blood samples, and standard components analyses were obtained for milk samples. Proviral load was determined by quantitative polymerase chain reaction for each cow.ResultsThe inverse of lymphocyte count, the square of the inverse of lymphocyte count, and milk ELISA percent positivity were positively associated with increasing PVL in BLV‐positive cows. For BLV‐positive cows, lymphocyte count >5.2 × 109/L predicted a high PVL (BLV:Bovine DNA of >1 in blood) with a sensitivity of 92.4% and a specificity of 79.8%. For BLV‐positive cows, white blood cell count >10.8 × 109/L predicted a high PVL, with a sensitivity of 85.5% and a specificity of 83.6%.Conclusions and Clinical ImportanceBased on these results, producers can implement commonly available diagnostic tests to identify cows with high probability of having high PVL, which may help in designing effective disease control strategies for BLV‐positive herds.
Reallocation: How new forms arise from contact
Authors: Font‐Santiago Cristopher , Johnson Mirva , Salmons Joseph 
Published: August 2022

AbstractIn the last 35 years, ‘reallocation’ has come to be widely used to describe how structural linguistic features in contact settings may remain as part of a new language variety and take on new functions as sociolinguistic variables rather than be lost over time, as is typically expected in koineization contexts. Classic examples involve originally regional differences that come to carry social, grammatical, or stylistic rather than regional meanings. We define and illustrate reallocation and then explore how it has been used in different ways and applied to various contact settings. Along the way, we also put reallocation into the context of notions like focussing and accommodation, and observe a shift from looking at dialect contact to language contact as a trigger of reallocation. Reallocation increasingly connects with enregisterment, and we consider these notions in cultural as well as strictly linguistic terms. We conclude briefly with paths for future investigation.
Genetic basis of growth reaction to drought stress differs in contrasting high‐latitude treeline ecotones of a widespread conifer
Authors: Zacharias Melanie , Pampuch Timo , Dauphin Benjamin , Opgenoorth Lars , Roland Carl , Schnittler Martin , Wilmking Martin , Bog Manuela , Heer Katrin 
Published: August 2022

AbstractClimate change is increasing the frequency and intensity of drought events in many boreal forests. Trees are sessile organisms with a long generation time, which makes them vulnerable to fast climate change and hinders fast adaptations. Therefore, it is important to know how forests cope with drought stress and to explore the genetic basis of these reactions. We investigated three natural populations of white spruce (Picea glauca) in Alaska, located at one drought‐limited and two cold‐limited treelines with a paired plot design of one forest and one treeline plot. We obtained individual increment cores from 458 trees and climate data to assess dendrophenotypes, in particular the growth reaction to drought stress. To explore the genetic basis of these dendrophenotypes, we genotyped the individual trees at 3000 single nucleotide polymorphisms in candidate genes and performed genotype–phenotype association analysis using linear mixed models and Bayesian sparse linear mixed models. Growth reaction to drought stress differed in contrasting treeline populations. Therefore, the populations are likely to be unevenly affected by climate change. We identified 40 genes associated with dendrophenotypic traits that differed among the treeline populations. Most genes were identified in the drought‐limited site, indicating comparatively strong selection pressure of drought‐tolerant phenotypes. Contrasting patterns of drought‐associated genes among sampled sites and in comparison to Canadian populations in a previous study suggest that drought adaptation acts on a local scale. Our results highlight genes that are associated with wood traits which in turn are critical for the establishment and persistence of future forests under climate change.
State of the science: Quality improvement of medical curricula—How should we approach it?
Authors: Jamieson Susan 
Published: August 2022

AbstractIntroductionQuality improvement (QI) of the medical curriculum is generally regarded as a continuous process of evaluating whether the specific curriculum meets relevant educational and professional standards, implementing new activities or other measures to address perceived deficiencies, and subsequently re‐evaluating the quality of the curriculum. QI is of consequence to medical learners, educators, patients, carers, specific disciplines and specialties, regulators and funders.MethodsTo address how we should approach QI of medical curricula, a narrative review was undertaken, drawing mainly on medical/health professions education literature, identified through searches of the MEDLINE, EMBASE, PUBMED and ERIC databases, and also on exemplar curricular frameworks and evaluation reports. Assumptions and practices in QI of medical curricula were explored critically.ResultsThe review compares alternative conceptualisations of QI; asks questions about priorities and perspectives in what we choose to evaluate; reflects on standards used to guide QI; critically discusses methods, models and theoretical approaches to the generation of evaluation data; and considers ownership of, and engagement with QI of medical curricula.ConclusionsRecommendations for curriculum teams include that discourse is necessary to achieve transparency and a shared understanding of continuous QI in a particular curricular context. Continuous QI requires data collection methods aligned to specific evaluation questions/foci; multiple methods for data collection, from different stakeholders; and appropriate evaluation models and theory to provide a framework for QI. Embracing a quality culture approach may increase the sense of ownership experienced by stakeholders. Mechanisms include creating democratic‐collegiate cultures for multiple stakeholders to collaborate in QI; engaging stakeholders in QI activities and (e.g. SoTL) projects that contribute to holistic continuous QI; and proactively embedding quality in the (co‐)creation of curriculum components and resources.
Graph‐based deep learning model for knowledge base completion in constraint management of construction projects
Authors: Wu Chengke , Li Xiao , Jiang Rui , Guo Yuanjun , Wang Jun , Yang Zhile 
Published: August 2022

AbstractConstruction projects face various constraints in terms of materials, labor, equipment, and documents, which can interrupt the scheduled work. Package‐based constraint management (PCM) is a state‐of‐the‐art graph‐based approach that follows the lean theory to effectively model, monitor, and remove constraints before the commencement of work, ensuring smooth construction and minimizing delay and waste. PCM relies on exploring and investigating project knowledge bases (KBs), formed by entity‐relation‐entity triples of constraints. However, most PCM KBs are incomplete and suffer from poor semantics, which hinders the PCM functions. Although many KB completion (KBC) methods exist in the field of artificial intelligence, they primarily focus on general knowledge and exclude the features of specific domains. Therefore, they cannot be directly applied to complete PCM KBs. To address the issue, this study proposes a novel deep learning model, referred to as the domain information enhanced graph neural network (D‐GNN). The features of the developed D‐GNN include (1) building a domain ontology to enrich semantics with rule reasoning, (2) applying the GNN to learn and encode embeddings of constraint entities and relations, and (3) employing a convolution neural network (CNN) for decoding and identifying missing triples. D‐GNN improves the existing KBC methods by integrating two types of domain information, namely, the ontological classes and working contexts into GNN and CNN, respectively. The experimental results verified that the D‐GNN reached an accuracy of 0.848–0.951, and the domain information integration increased the performance by up to 0.263. In practical testing, the D‐GNN significantly reduced the KBC time to 1/6–1/35 of the manual approach and reached higher accuracy. Therefore, the proposed D‐GNN can facilitate PCM by providing complete KBs and supporting downstream constraint monitoring and removal.
Tooth extraction within 2 weeks before radiotherapy and osteoradionecrosis: A nationwide cohort study
Authors: Shih Yin‐Ju , Huang Jing‐Yang , Lai Yu‐Cheng , Lin Hsin‐Mei , Kuo Tsu‐Jen 
Published: August 2022

AbstractObjectivesThe theory of at least 2‐week waiting period between tooth extraction and head and neck radiotherapy could reduce osteoradionecrosis remains controversial. Thus, this study examined the theory and associated factors.Materials and MethodsData were retrieved from the National Health Insurance Research Database, Taiwan Cancer Registry Database, and Cause of Death Statistics. We included 24,353 patients with head and neck cancer who received radiotherapy from 2011 to 2017 and were followed up until 2019. The patients were divided into three groups: those undergoing tooth removal 2–8 weeks before radiotherapy, those undergoing tooth removal within 2 weeks before radiotherapy, and others. Confounding factors were clinical information, physical conditions, and risky habits. We used the Cox regression model to assess osteoradionecrosis risk.ResultsNo significant difference in osteoradionecrosis risk was observed between those undergoing tooth extraction within 2 weeks before radiotherapy and the other groups. An irradiation dose of ≥60 Gy, chemotherapy, tumor excision, post‐radiotherapy tooth extraction, mandibulectomy, hyperlipidemia, and oral cavity as the tumor subsite were significantly positively associated with osteoradionecrosis risk.ConclusionA waiting period of ≥2 weeks between tooth extraction and radiotherapy did not significantly reduce osteoradionecrosis risk.
The social process of coping with work‐related stressors online: A machine learning and interpretive data science approach
Authors: Sajjadiani Sima , Daniels Michael A. , Huang Hsuan‐Che (Brad) 
Published: August 2022

AbstractPeople are increasingly turning to social media and online forums like Reddit to cope with work‐related concerns. Previous research suggests that how others respond can be an important determinant of the sharer's affective and well‐being outcomes. However, less is known about whether and how cues embedded in the content of what is shared can shape the type of responses that one receives from others, obscuring the joint and interactive role that both the sharer and listener may play in influencing the sharer's outcomes. In this study, we develop theory to advance our understanding of online coping with an explicitly social focus using computational grounded theorizing and machine learning (ML) techniques applied to a large corpus of work‐related conversations on Reddit. Specifically, our theoretical model sheds light on the dynamics of the online social coping process related to the domain of work. We show that how sharers and listeners interact and react to one another depends on the content of stressors shared, the social coping behaviors used when sharing, and whether the sharer and listener belong to the same occupational context. We contribute to the social coping literature in three ways. First, we clarify how social actors respond to cues embedded in the social coping attempt. Second, we examine the moderating role that such responses play in shaping sharer outcomes. Finally, we extend theory on social coping with work‐related stressors to the online domain. Taken together, this research highlights the importance of the dynamic interplay between sharer and listener in the context of online social coping.