bluuebunny/crossref_metadata_2025_split huggingface dataset:
Markers of blood-brain barrier disruption increase early and persistently in COVID-19 patients with neurological manifestations
Authors: Bonetto V. , Pasetto L. , Lisi I. , Carbonara M. , Zangari R. , Ferrari E. , Punzi V. , Luotti S. , Bottino N. , Biagianti B. , Moglia C. , Fuda G. , Gualtierotti R. , Blasi F. , Canetta C. , Montano N. , Tettamanti M. , Camera G. , Grimoldi M. , Negro G. , Rifino N. , Calvo A. , Brambilla P. , Biroli F. , Bandera A. , Nobili A. , Stocchetti N. , Sessa M. , Zanier E.R. 
Published: September 2022

AbstractBackgroundCoronavirus disease 2019 (COVID-19) leads to peripheral and central disorders, frequently with neurological implications. Blood-brain barrier disruption (BBBd) has been hypothesized as a mechanisms in the acute phase. We tested whether markers of BBBd, brain injury and inflammation could help identify a blood signature for disease severity and neurological complications.MethodsBiomarkers of BBBd (MMP-9, GFAP), neuronal damage (NFL) and inflammation (PPIA, IL-10, TNFα) were measured by SIMOA, AlphaLISA and ELISA, in two COVID-19 patient cohorts with high disease severity (ICU Covid; n=79) and neurological complications (NeuroCovid; n=78), and in two control groups with no COVID-19 history: healthy subjects (n=20) and patients with amyotrophic lateral sclerosis (ALS; n=51).ResultsBiomarkers of BBBd and neuronal damage were high in COVID-19 patients, with levels similar to or higher than in ALS. NeuroCovid patients had lower levels of PPIA but higher levels of MMP-9 than ICU Covid patients. There was evidence of different temporal dynamics in ICU Covid compared to NeuroCovid patients with PPIA and IL-10 levels highest in ICU Covid patients in the acute phase. In contrast, MMP-9 was higher in the acute phase in NeuroCovid patients, with severity-dependency in the long term. We also found clear severity-dependency of NFL and GFAP.ConclusionsThe overall picture points to an increased risk of neurological complications in patients with high levels of biomarkers of BBBd. Our observations may provide hints for therapeutic approaches mitigating BBBd to reduce the neurological damage in the acute phase and potential dysfunction in the long term.
Diagnosing and quantifying post-COVID-19 fluctuations in the architecture billings indices
Authors: Kim Sooin , Makhmalbaf Atefe , Shahandashti Mohsen 
Published: September 2022

PurposeThe purpose of this paper is to understand the post-COVID-19 fluctuations in the building construction demand from various angles at the national, regional, and sectoral levels. Despite the significant impact of COVID-19 on the building construction industry, a detailed quantitative analysis of the COVID-19 impact on the building construction demand is still lacking. The current study aims to (1) establish a statistical approach to quantify the COVID-19 impact on the building construction demand; (2) investigate the post-COVID-19 fluctuations in the construction demand of different building services, regional markets, and building sectors using the historical time series of the architecture billings index (ABI); and (3) identify vulnerable market and sector and discuss the post-COVID-19 recovery strategies.Design/methodology/approachThe research methodology follows four steps: (1) collecting national, regional, and sectoral ABIs; (2) creating seasonal autoregressive integrated moving average models; (3) illustrating cumulative sum control charts to identify significant ABI deviations; and (4) quantifying the post-COVID-19 ABI fluctuations.FindingsThe results show that all the ABIs experienced a statistically significant decrease after COVID-19. The project inquiries index reduced more but recovered faster than billings and design contracts indices. The midwest billings index decreased the most among the regional ABIs and the commercial/industrial billing index dropped the most among the sectoral ABIs.Originality/valueThis study is unique in the way that it utilized the ABI data and the approach using SARIMA models and CUSUM control charts to assess the post-COVID-19 building construction demand represented by ABI fluctuations.
Explanatory power of the tourist destination competitiveness index on the control of the first wave of COVID-19
Authors: Dempere Juan , Modugu Kennedy 
Published: September 2022

PurposeThis article intends to analyse the explanatory power of the Travel and Tourism Competitiveness Index (TTCI) and some of its constituent factors on national success metrics in managing the initial surge of the COVID-19 pandemic.Design/methodology/approachThe authors study the outbreak control effectiveness of 132 countries during the first semester of 2020. The authors apply generalized linear regression models and weighted least squares models using 6 COVID-19-related dependent variables, 9 TTCI-related independent variables and 12 control variables.FindingsThe results suggest that countries with superior TTCI values and selected constituent factors have the highest daily averages of coronavirus infections and fatalities per million and the highest speed rates of COVID-19 spread. The authors also find that these countries have the shortest government response time, the lowest daily average of the social restrictions index and the shortest time from the first case reported in China to the first case reported nationally.Originality/valueTo the best of the authors' awareness, no previous study exists analysing the statistical relationship between the TTCIB and some of its constituent factors with the selected metrics of national success at managing the initial surge of the COVID-19 pandemic. This fact represents the primary evidence of this article's unique contribution.
Lesson study on two continents: contextual differences reflected in teachers’ pedagogy, affect and processes
Authors: Collet Vicki Stewart , Nakawa Nagisa 
Published: September 2022

Purpose The purpose of this study was to better understand how lesson study (LS) impacts the pedagogy and attitudes of teachers in varied sociocultural contexts. The authors investigated responses of teachers in Kenya and the USA who were new to LS.Design/methodology/approach Teacher interviews after LS were qualitatively and inductively analyzed with Teacher Education and Development Study: Learning to Teach Mathematics as a conceptual/analytical framework.Findings Results varied between Kenyan and US teachers. Kenyan teachers reported increases in content and pedagogical content knowledge. They suggested participating in LS was an enjoyable, productive struggle and emphasized the value of planning for lessons and the role of the outside expert. US teachers described consideration of students' needs, abilities, and learning strategies. They described LS as a positive experience, even though making time for the process was challenging. Procedurally, US teachers valued research and collaboration. Although both the process and responses differed, US and Kenyan teachers' reflections highlight affordances of LS.Research limitations/implications This study is a small-scale, comparative case study. Future research could ask similar research questions in other contexts and with greater numbers of participants.Practical implications Views of teaching and learning and typical structures for teachers' professional learning vary by context; these factors should be considered when planning and implementing LS.Originality/value The study responds to an identified need to learn more about how LS contributes to teachers’ different views of teaching and learning, which are embedded in various sociocultural settings.
Towards a contingency theoretic perspective on technology pre-adoption in supply chain management
Authors: Selensky Stefan 
Published: September 2022

PurposeEmerging technologies and the concept of Industry 4.0 are on the rise. Thus, available solutions for SCM get more complex and dynamic. Technology adoption is crucial for organizations competitiveness, but resources are limited. Therefore, this paper aims to gain insights into the successful management of technology pre-adoption in SCM.Design/methodology/approachIn-depth polar case studies of technology pre-adoption initiatives in various industries were collected using an interview-based approach. Subsequently, the paper deploys transcript coding on the data to analyze information within and across the cases. Lastly, utilizing contingency theory, supply chain-specific influencing factors and corresponding management practices were identified.FindingsThe research reveals eight contingency dimensions and corresponding variables that influence the design of successful technology pre-adoption in SCM (e.g. complexity and criticality). Moreover, ten response variables were identified, referring to the pre-adoption process or organization. They systemize possible options when conducting technology pre-adoption initiatives.Research limitations/implicationsThe paper contributes to research by systemizing potential influencing factors and responses of technology pre-adoption through an explorative, empirical study. The paper is limited by its qualitative approach and the number of case studies conducted.Practical implicationsThe results provide supply chain managers a guideline for analyzing potential influences on the technology pre-adoption process and propositions how to manage pre-adoption accordingly.Originality/valueThis research is among the first to provide in-depth insights into technology pre-adoption from an organization's perspective considering supply chain-specific contingencies. Also, it introduces a new perspective on technology selection as a management process.
Support to sin: a moderated mediation model of perceived organizational support's effect on unethical pro-organizational behavior among Indian nationals
Authors: Sharma Varun , Mishra Vivek , Uppal Nishant 
Published: September 2022

PurposeThe present research aims to provide a comprehensive understanding of the mechanism underlying the potential harmful outcomes of perceived organizational support (POS) in instigating unethical pro-organizational behavior (UPB). Integrating social exchange theory with social identity theory, the present study proposes the indirect effect of one's POS as the mechanism that leads an individual to commit UPB via organizational identification (OI). The authors also expect the role of an individual's moral identity (MI) in moderating the relationship between OI and UPB.Design/methodology/approachThe current research tests the proposed moderated mediation model by using two survey-based field studies consisting of 316 and 178 responses in study 1 and 2, respectively from working professionals of various organizations in India.FindingsThe current research finds support for the proposed moderated mediation model where the POS leads to UPB through the indirect effects of OI. Also, an individual's MI plays a key role in moderating one's engagement in UPB.Originality/valueThe current research integrates social exchange theory and social identity theory in the UPB literature in a logical and coherent manner. Furthermore, the current research also explains the role of multiple identities in enhancing and attenuating one's engagement in UPB.
Social insecurity and varieties of family resilience strategies during the COVID-19 pandemic
Authors: Yuda Tauchid Komara , Munir Misbahul 
Published: September 2022

PurposeThis study is aimed at developing an understanding of the consequences of the pandemic on families' socioeconomic resilience, and the strategies adopted by the families in overcoming social vulnerabilities amid uncertainty.Design/methodology/approachThe materials for this study consist of semi-structured interviews with 21 families spread across the South Sumatra Province, Indonesia. Families in the study represent four different income levels, namely very high, high, middle and low, and who also work in the informal sector. Each family has at least 1 or more members who fall into the vulnerable category (children, the elderly, people with disabilities unemployed or having potential economic vulnerability).FindingsTwo main findings are outlined. Regardless of their socioeconomic status, many of the families analyzed adopted similar strategies to remain resilient. Among the strategies are classifying the urgency of purchasing consumer goods based on financial capacity rather than needs, leveraging digital economic opportunities as alternative sources of income, utilizing more extensive informal networks and going into debt. Another interesting finding shows that the pandemic, to some extent, has saved poor families from social insecurity. This is supported by evidence showing that social distancing measures during the pandemic have reduced the intensity of sociocultural activities, which require invited community members to contribute financially. The reduction of sociocultural activities in the community has provided more potential savings for the poor.Research limitations/implicationsIn this study, informants who provided information about their family conditions represent a major segment of the workforce and tend to be technologically savvy and younger, due to the use of Zoom as a platform for conducting interviews. Therefore, there may be a bias in the results. Another limitation is that since the interviewees were recommended by our social network in the fields, there is a risk of a distorted selection of participants.Originality/valueThis study offers insights that are critical in helping to analyze family patterns in developing countries in mitigating the risks and uncertainties caused by COVID-19. In addition, the literature on social policy and development could benefit from further research on COVID-19 as an alternative driver to identify mechanisms that could bring about change that would result in “security.” Critical questions and limitations of this study are presented at the end of the paper to be responded to as future research agenda.
Impact of monetary and non-monetary social functions on users' knowledge-sharing intentions in online social Q&A communities
Authors: Jia Lin , Lin Chen , Qin Yiran , Pan Xiaowen , Zhou Zhongyun 
Published: September 2022

PurposeWith the rapid development of paid online social question and answer (Q&A) communities, monetary social functions have been introduced and have potential benefits for both platforms and users. However, these functions' impact on knowledge contribution remains uncertain. This study proposes a conceptual model based on the stimulus–organism–response framework, according to which monetary and non-monetary social functions can help nurture short-term and long-term relationships among community users, and thereafter improves social identity and knowledge-sharing intentions.Design/methodology/approachThis study selects Zhihu, a famous online social Q&A community in China, and conducts an online survey to collect data from its frequent users. A sample of 286 valid questionnaires was collected to test our research model by using a structural equation modeling method. In addition, a bootstrapping approach is used to test the mediation effect.FindingsResults indicate that monetary social functions help nurture short-term and long-term relationships among community users. However, non-monetary social functions only affect short-term relationships directly. Short-term and long-term relationships both have a positive relationship with social identity and thereafter improve users' knowledge-sharing intentions.Originality/valueThis study focuses on users' knowledge-sharing intentions in Q&A communities from the perspective of social. Specifically, we separated social functions in Q&A platforms into monetary and non-monetary ones and explored their impact on the development of short-term and long-term relationships. Results demonstrate the importance of monetary social functions and explain how monetary and non-monetary social functions affect users' knowledge-sharing intentions in different approaches.
Bean counter to value-adding business partner: the changing role of the accountant and situated rationality in a multinational firm
Authors: Samanthi Dinushika , Gooneratne Tharusha 
Published: September 2022

Purpose
This paper aims to explore the changing role of the accountant amid multiple drivers, responses of accountants and situated rationality in a multinational firm, Max-choice Lanka.

Design/methodology/approach
It adopts the single-site case study approach under the qualitative methodology and leans on institutional theory, specifically Ter Bogt and Scapens (2019) framework.

Findings
The case study findings reveal that the role of the accountant has undergone change amid local and broader institutions linked to organizational culture/norms, the influence of the parent company, global trends and technological advancements. Based on evolving situated rationalities, the contemporary accountant performs an agile role as a value-adding business partner; data scientist; strategic decision-maker; and a cross-functional team member.

Practical implications
At the practice level, identifying drivers influencing the changing role of accountants enables organizations to shape their accounting functions attuned to evolving needs by implementing appropriate strategies and recruiting competent personnel. In the realm of education, it calls for incorporating areas such as big data analytics, artificial intelligence, reporting nonfinancial information and integrated accounting software to the accounting curricular and upskill students based on industry expectations catering to changing roles.

Originality/value
This paper adds to the ongoing debate on the contemporary role of the accountant. Capitalizing on case study data, this research illuminates the influence of multiplicity of institutions, different forms and situated rationality within this changing role and extends the Ter Bogt and Scapens (2019) framework.
Bond rating determinants and modeling: evidence from India
Authors: Sehgal Sanjay , Vasishth Vibhuti , Agrawal Tarunika Jain 
Published: September 2022

PurposeThis study attempts to identify fundamental determinants of bond ratings for non-financial and financial firms. Further the study aims to develop a parsimonious bond rating model and compare its efficacy across statistical and range of machine learning methods in the Indian context. The study is motivated by the insufficiency of prior work in the Indian context.Design/methodology/approachThe authors identify the critical determinants of non-financial and financial firms using multinomial logistic regression. Various machine learning and statistical methods are employed to identify the optimal bond rating prediction model. The data cover 8,346 bond issues from 2009 to 2019.FindingsThe authors find that industry concentration, sales, operating leverage, operating efficiency, profitability, solvency, strategic ownership, age, firm size and firm value play an important role in rating non-financial firms. Operating efficiency, profitability, strategic ownership and size are also relevant for financial firms besides additional determinants related to the capital adequacy, asset quality, management efficiency, earnings quality and liquidity (CAMEL) approach. The authors find that random forest outperforms logit and other machine learning methods with an accuracy rate of 92 and 91% for non-financial and financial firms.Practical implicationsThe study identifies important determinants of bond ratings for both non-financial and financial firms. The study interalia finds that the random forest technique is the most appropriate method for bond ratings predictions in India.Social implicationsBetter bond ratings may mitigate corporate defaults.Originality/valueUnlike prior literature, the study identifies determinants of bond ratings for both non-financial and financial firms. The study also experiments with modern machine learning techniques besides the traditional statistical approach for model building in case of relatively under researched market.
Tailored interviewing to uncover the perspectives of children with multiple disabilities on daily activities: A qualitative analyses of interview methods and interviewer skills
Authors: Steultjens Esther , Lindenschot Marieke , Diepeveen Sanne , Zajec Jana , de Groot Imelda , Nijhuis‐van der Sanden Ria , Koene Saskia , Graff Maud 
Published: September 2022

AbstractIntroductionUncovering the perspective of children with multiple disabilities is important in health care to enable person‐centred health care. For occupational therapists, uncovering the child perspective on meaningful activities is necessary to set appropriate goals for treatment. It is not always evident that children with multiple disabilities can express themselves in an interview. The interviewer should adapt his communication to the child. In literature, alternative communication is widely studied, but a clear algorithm for deciding what to use to successfully gain insight into the child perspective is missing. This study aims to identify helpful interview techniques and interviewer skills and how they can be used to effectively uncover the perspective of children.MethodsVideos of nine interviews with children with a mitochondrial disorder, conducted by an occupational therapist, were analysed by five researchers. The interviews were analysed to see how well the interviewee had obtained the child's perspectives followed by observation of communicative abilities of the child and the types of questions the interviewer asked. A qualitative directed content analysis of the semi‐structured interviews followed.FindingsAn interview pattern was observed in the children's communication leading to six successful interviews. Children communicated verbally on four different levels and also used non‐verbal communication. The interviewer used five types of questions, which varied between and within the children. The content analysis resulted in two themes: parental influences and interviewer skills.ConclusionResults show the importance of matching the type of questions to the verbal communication level of the child and revealed several interviewer skills and techniques. An overview to guide tailor‐made interviewing is presented. The interviewer has a major role in successful interviewing and thus in enabling the inclusion of the child perspective in research and care.