bluuebunny/crossref_metadata_2025_split huggingface dataset:
Protection and waning of natural and hybrid COVID-19 immunity
Authors: Goldberg Yair , Mandel Micha , Bar-On Yinon M. , Bodenheimer Omri , Freedman Laurence , Ash Nachman , Alroy-Preis Sharon , Huppert Amit , Milo Ron 
Published: December 2021

AbstractBACKGROUNDInfection with SARS-CoV-2 provides substantial natural immunity against reinfection. Recent studies have shown strong waning of the immunity provided by the BNT162b2 vaccine. The time course of natural and hybrid immunity is unknown.METHODSData on confirmed SARS-CoV-2 infections were extracted from the Israeli Ministry of Health database for the period August to September 2021 regarding all persons previously infected or vaccinated. We compared infection rates as a function of time since the last immunity-conferring event using Poisson regression, adjusting for possible confounding factors.RESULTSConfirmed infection rates increased according to time elapsed since the last immunity-conferring event in all cohorts. For unvaccinated previously infected individuals they increased from 10.5 per 100,000 risk-days for those previously infected 4-6 months ago to 30.2 for those previously infected over a year ago. For individuals receiving a single dose following prior infection they increased from 3.7 per 100,000 person days among those vaccinated in the past two months to 11.6 for those vaccinated over 6 months ago. For vaccinated previously uninfected individuals the rate per 100,000 person days increased from 21.1 for persons vaccinated within the first two months to 88.9 for those vaccinated more than 6 months ago.CONCLUSIONSProtection from reinfection decreases with time since previous infection, but is, nevertheless, higher than that conferred by vaccination with two doses at a similar time since the last immunity-conferring event. A single vaccine dose after infection helps to restore protection.
Asymptomatic carriers of the p.A53T SNCA mutation: data from the PPMI study
Authors: Simitsi Athina Maria , Koros Christos , Stamelou Maria , Beratis Ion , Efthymiopoulou Efthymia , Papadimitriou Dimitra , Bougea Anastasia , Picillo Marina , Stanitsa Evangelia , Papagiannakis Nikolaos , Antonelou Roubina , Pachi Ioanna , Papageorgiou Sokratis G. , Barone Paolo , Stefanis Leonidas 
Published: December 2021

AbstractIntroductionThere has been great interest in the prodromal phase of Parkinson’s disease (PD), especially in subjects who are asymptomatic carriers of genetic mutations leading to PD because of the high risk to convert to PD. The objective of the present study was to assess non motor characteristics of asymptomatic p.A53T mutation carriers (A53T-AC) compared with healthy controls (HC).MethodsWe compared 12 A53T-AC with 36 matched HC enrolled into in the Parkinson’s Progression Markers Initiative (PPMI) study. Baseline data extracted from the PPMI database, contained demographics and non-motor symptoms (e.g. the Montreal Cognitive Assessment (MOCA) for cognition, the University of Pennsylvania Smell Identification Test (UPSIT) for olfaction, MDS-UPDRS I etc.)ResultsThe mean UPSIT score was lower in A53T-AC vs HC (p =0.000). MoCA test showed a trend towards lower scores in A53T AC. We found a significant positive correlation between UPSIT score and MOCA in A53T-AC (rs = 0,68, p=0,021) but not in HC. Total scores for MDS-UPDRS I did not differ between the groups but the subscore of anxiety was more prevalent in A53T-AC.ConclusionThe more affected olfaction in A53T-AC may indicate that olfactory function is affected quite early in A53T carriers. The strong positive correlation between UPSIT and MOCA in the A53T-AC group may indicate that cognitive dysfunction and olfactory impairment progress alongside, prior to nigrostriatal degeneration. Anxiety was also more prevalent in A53T-AC and may represent an additional prodromal feature in this group of subjects.
Can 10x cheaper, lower-efficiency particulate air filters and box fans complement High-Efficiency Particulate Air (HEPA) purifiers to help control the COVID-19 pandemic?
Authors: Srikrishna Devabhaktuni 
Published: December 2021

AbstractPublic health departments such as CDC and California Department of Public Health (CA-DPH) advise HEPA-purifiers to limit transmission of SARS-CoV-2 indoor spaces. CA-DPH recommends air exchanges per hour (ACH) of 4-6 air for rooms with marginal ventilation and 6-12 in classrooms often necessitating multiple HEPA-purifiers per room, unaffordable in under-resourced community settings. Pressure to seek cheap, rapid air filtration resulted in proliferation of lower-cost, Do-It-Yourself (DIY) air purifiers whose performance is not well characterized compared to HEPA-purifiers. Primary metrics are clean air delivery rate (CADR), noise generated (dBA), and affordability ($$). CADR measurement often requires hard-to-replicate laboratory experiments with generated aerosols. We use simplified, low-cost measurement tools of ambient aerosols enabling scalable evaluation of aerosol filtration efficiencies (0.3 to 10 microns), estimated CADR, and noise generation to compare 3 HEPA-purifiers and 9 DIY purifier designs. DIY purifiers consist of one or two box fans coupled to single MERV 13-16 filters (1”-5” thick) or quad filters in a cube. Accounting for reduced filtration efficiency of MERV 13-16 filters (versus HEPA) at the most penetrating particle size of 0.3 microns, estimated CADR of DIY purifiers using 2” (67%), 4” (66%), and 5” (85%) filters at lowest fan speed was 293 cfm ($35), 322 cfm ($58), and 405 cfm ($120) comparable to best-in-class, low-noise generating HEPA-purifier running at maximum speed with at 282 cfm ($549). Quad filter designs, popularly known Corsi-Rosenthal boxes, achieved gains in estimated CADR below 80% over single filter designs, less than the 100% gain by adding a second DIY purifier. Replacing one of the four filters with a second fan resulted in gains of 125%-150% in estimated CADR. Tested DIY alternatives using lower-efficiency, single filters compare favorably to tested HEPA-purifiers in estimated CADR, noise generated at five to ten times lower cost, enabling cheap, rapid aerosol removal indoors.
Cortical Face-Selective Responses Emerge Early in Human Infancy
Authors: Kosakowski Heather L. , Cohen Michael A. , Herrera Lyneé , Nichoson Isabel , Kanwisher Nancy , Saxe Rebecca 
Published: December 2021

ABSTRACTIn human adults, multiple cortical regions respond robustly to faces, including the occipital face area (OFA) and fusiform face area (FFA), implicated in face perception, and the superior temporal sulcus (STS) and medial prefrontal cortex (MPFC), implicated in higher level social functions. When in development does face selectivity arise in each of these regions? Here, we combined two awake infant functional magnetic resonance neuroimaging (fMRI) datasets to create a sample size twice the size of previous reports (n=65 infants, 2.6-9.6 months). Infants watched movies of faces, bodies, objects, and scenes while fMRI data were collected. Despite variable amounts of data from each infant, individual subject whole-brain activations maps revealed a significant response to faces compared to non-face visual categories in the approximate location of OFA, FFA, STS, and MPFC. To determine the strength and nature of face selectivity in these regions, we used cross-validated functional region of interest (fROI) analyses. Across this larger sample size, face responses in OFA, FFA, STS, and MPFC were significantly greater than responses to bodies, objects, and scenes. Even the youngest infants (2-5 months) showed significantly face-selective responses in FFA, STS, and MPFC, but not OFA. These results demonstrate that face selectivity is present in multiple cortical regions within months of birth, providing powerful constraints on theories of cortical development.Significance StatementSocial cognition often begins with face perception. In adults, several cortical regions respond robustly to faces, yet little is known about when and how these regions first arise in development. To test whether face selectivity changes in the first year of life, we combined two datasets, doubling the sample size relative to previous reports. In the approximate location of the fusiform face area (FFA), superior temporal sulcus (STS), and medial prefrontal cortex (MPFC) but not occipital face area (OFA), face selectivity was present in the youngest group. These findings demonstrate that face-selective responses are present across multiple lobes of the brain very early in life.
Assessing measurement invariance of the CETSCALE in Guangxi, China
Authors: Tang Hsiang-Lin , Liu Xuelin , Fu Qi 
Published: December 2021

PurposeThis study sets about assessing measurement invariance of the widely used CETSCALE in the context of an economically disadvantageous inland city in China. The 10-item CETSCALE (Shimp and Sharma 1987) was administered to a college-level student sample (male = 55 and female = 198) in Nanning City, Guangxi Zhuang Autonomous Region. AMOS v. 20 was used to conduct confirmatory factor analysis and assess measurement invariance across gender.Design/methodology/approachThis study is designed to assess measurement invariance of the 10-item CETSCALE with student sample in Nanning, the capital city of Guangxi, China.FindingsThe results support full metric invariance and factor variance invariance and partial scalar invariance and measurement residual invariance for the refined 5-item CETSCALE. It is found that college students in an economically underdeveloped multi-ethnic inland city like Nanning were less consumer ethnocentric than those in the affluent coastal cities.Originality/valueThis is the first study to assess measurement invariance of the CETSCALE with student sample from an economically underdeveloped multi-ethnic inland city in China.
An analysis of a third-party food delivery app during the COVID-19 pandemic
Authors: Chen McCain Shiang-Lih , Lolli Jeffrey , Liu Emma , Lin Li-Chun 
Published: December 2021

PurposeThe study aims to analyze guest comments on the Uber Eats food delivery app (FDA) in the USA during the April–June 2020 COVID-19 pandemic lockdown period. Three aspects influencing customer satisfaction with the FDA were evaluated in this study: (1) performance on the app, (2) product quality and (3) service quality.Design/methodology/approachOne thousand customer comments posted on the Uber Eats Google Play app from April 1 to June 30, 2020 were analyzed in this study. The text mining technique was applied to discover the hidden, but meaningful patterns from the unstructured text. Content analysis was applied to systematically analyze the text into organized categories and themes.FindingsAmong the three dimensions evaluated in this study, the most important dimension regarding customers' perceptions toward the FDA was the service quality dimension (40.02%), followed by the FDA's performance dimension (39.43%) and the product quality dimension (20.54%) was least important. Additionally, customers' perceptions towards the three dimensions were all unfavorable and there were more negative comments than the positive comments: FDAs (P/N = 0.728), product quality (P/N = 0.60) and service quality (P/N = 0.865).Originality/valuePrevious studies investigating FDAs assessed solely the performance of the app. However, customers' experience of a food delivery service is comprised of multiple components including the app, the restaurant and the delivery driver. To fill the void, this study evaluated a third-party app performance, product quality and service quality to capture the totality of customers' food delivery service experience.
The role of the industry's cultural-cognitive elements on actors' intention to adopt BIM: an empirical study in Peru
Authors: Murguia Danny , Demian Peter , Soetanto Robby 
Published: December 2021

PurposeThe current understanding of building information modelling (BIM) adoption often neglects the industry context in which BIM is deployed. This is particularly problematic when policymakers are planning to enact top-down policies to promote BIM adoption in public-funded construction. Therefore, the aim of this study is to establish the industry-level factors that constraint or enable actors' intention to adopt BIM.Design/methodology/approachUsing institutional theory with an emphasis on the cultural-cognitive elements, the authors aim to complement the understanding of BIM adoption by incorporating institutional elements into the unified theory of acceptance and use of technology (UTAUT). The cultural-cognitive elements were extracted from focus groups and interviews with architecture, construction and engineering (AEC) professionals in Peru. A modified UTAUT was empirically tested using confirmatory factor analysis (CFA) and structural equation modelling (SEM) with a dataset from 171 questionnaire responses.FindingsThe industry characteristics, standardisation, affordability and technology/methodology definition of BIM were found to be the cultural-cognitive elements having direct effects on individual reactions to BIM. These findings suggest that BIM adoption policies should focus on designing incentives schemes, training/educating professionals on BIM collaborative processes and developing/adapting applicable standards. However, a BIM adoption mandate would require policymakers to create collaborative procurement environments in tandem with information management and process standards.Practical implicationsFindings can be used by policymakers to significantly promote BIM adoption in contexts without a government mandate for public sector construction.Originality/valueThe study of institutional elements on BIM adoption is still limited. This study provides empirical evidence on how the cultural-cognitive elements of the industry context are associated with actors' intention to adopt BIM. Therefore, this study bridges industry and individual levels of analysis. Furthermore, this study enables policymakers to initiate actions that significantly encourage BIM adoption.
Global carbon emission spatial pattern in 2030 under INDCs: using a gridding approach based on population and urbanization
Authors: Tao Le , Su Yun , Fang Xiuqi 
Published: December 2021

Purpose
The intended nationally determined contributions (INDCs) is a major outcome of the Paris Agreement on international cooperation to reduce emissions, and is likely to be the future scenario for carbon emissions. This paper aims to obtain the fine spatial pattern of carbon emissions in 2030, identify hot spots and analyze changes of carbon emissions with a spatial grid method.

Design/methodology/approach
Based on the integrated quantified INDCs of each economy in 2030, the authors predict the population density pattern in 2030 by using the statistics of current population density, natural growth rates and differences in population growth resulting from urbanization within countries. Then the authors regard population density as a comprehensive socioeconomic indicator for the top-bottom allocation of the INDC data to a 0.1° × 0.1° grid. Then, the grid spatial pattern of carbon emissions in 2030 is compared with that in 2016.

Findings
Under the unconditional and conditional scenarios, the global carbon emission grid values in 2030 will be within [0, 59,200.911] ktCO2 and [0, 51,800.942] ktCO2, respectively; eastern China, northern India, Western Europe and North America will continue to be the major emitters; grid carbon emissions will increase in most parts of the world compared to 2016, especially in densely populated areas.

Originality/value
While many studies have explored the overall global carbon emissions or warming under the INDC scenario, attention to spatial details is also required to help us make better emissions attributions and policy decisions from the perspective of the grid unit rather than the administrative unit.
A comprehensive analysis of the 21st century's research trends in English Mobile Learning: a bibliographic review of the literature
Authors: Khodabandelou Rouhollah , Fathi Masood , Amerian Mohammad , Fakhraie Mohammad Reza 
Published: December 2021

PurposeThis study examines the importance of English Mobile Learning research as a foundation for lifelong and sustainable education from different points of view, including those of technology innovation experts, psychologists and educators. It aims to explore the current status and relevant research trends through the application of bibliometric mapping and bibliometric analysis.Design/methodology/approachFor this study, all Web of Science records (in total 5,343) from 2000 to 2020 in the field of English Mobile Learning were analyzed using the VOSviewer and CiteSpace software tools. The WoS built-in functions, including “Refine” and “Analyze,” were employed to perform the bibliometric analysis. The study further analyzed a sample of the five most-cited articles to identify the previous studies with the highest quality or impact.FindingsThe results showed that research in English Mobile Learning is growing quickly and steadily with a noticeable emphasis on various device-based technologies and applications. The study also discusses the key implications for research institutions, education policymakers and academicians, and identifies the most prominent avenues for future research on English Mobile Learning. Moreover, the results shared in this review highlight the most important and emerging areas of research in the field.Originality/valueThis article is the most recent bibliographic review of literature that particularly addresses the English Mobile Learning research during the past two decades.
Fresh food online shopping repurchase intention: the role of post-purchase customer experience and corporate image
Authors: Ma Kara Xiaohui , Mather Damien William , Ott Dana L. , Fang Eddy , Bremer Phil , Mirosa Miranda 
Published: December 2021

PurposeThe purpose of this study is to investigate consumers' post–purchase experience when buying fresh food online. It examines the key dimensions of post–purchase online customer experience (post–purchase OCE) that impact customer satisfaction and repurchase intention. It also explores the role of corporate image as a moderator.Design/methodology/approachAn online survey was conducted in China to capture participants' post–purchase OCE, satisfaction, repurchase intention and perceived corporate image. Partial least squares structural equation modelling (PLS-SEM) was utilized to analyse data collected from 317 Chinese fresh food online shoppers. Moderated mediation analysis was conducted to analyse the moderating effect of corporate image.FindingsFour post–purchase OCE dimensions “product-in-hand”, “customer support”, “benefits” and “packaging” significantly drive customers' repurchase intention by enhancing customer satisfaction. “Delivery” is not influential. Additionally, for firms with a good corporate image, customer repurchase intention is more easily affected by post–purchase OCE than firms with a lower level of corporate image.Practical implicationsThe findings inform fresh food e-commerce firms of the critical post–purchase OCE dimensions that mostly drive customer satisfaction and help retain customers. Furthermore, it implies that firms with a good corporate image must provide high-quality post–purchase OCE that matches the image because the consequences associated with a poor post–purchase OCE can be severe.Originality/valueThis research is among the first to investigate fresh food post–purchase OCE. It also introduces the previously underexplored moderating role of corporate image.
Doping as a barrier in universal acceptance of esports
Authors: Gupta Dishant , Sharma Harsh , Gupta Manali 
Published: December 2021

PurposeEsports has been emerging as a multi-billion dollar industry by attracting players, viewers, advertisers and investors across the globe. Even though there are plenty of professional titles present, only a few have been considered mainstream due to lack of formal governance mechanisms, presence of corruption and cheating mechanisms. “Doping” is one such practice where the players try to gain unfair advantage over their competitors, causing major hindrance in esports development. This qualitative study would draw insights from their perceptions about different doping mechanisms and possible recommendations to curb them.Design/methodology/approachThis study has analyzed the semi-structured interviews of selected esports professionals to draw insights from their perceptions about different doping mechanisms and possible recommendations to curb them. This qualitative study would explore the content of their interviews for extracting relevant themes and subthemes.FindingsThe findings of this study have made significant contributions to deeply lacking literature about the esports industry and barriers it faces in order to be considered as a legitimate sport. The study has extracted contemporary and new emerging themes about the rising trends in the industry and their impact on society and the way we see sports as a whole. Moreover, this study dwells upon the rampant drug abuse persisting in this industry and how it offers itself as a barrier to the legitimization of esports as a viable global industry.Originality/valueThis study provides an on-ground reality reports on esports and various malpractices rampant in the industry by conducting interviews with various industry professionals and analyzing them through a thematic analysis method using an inductive approach.
Netizens' behavior towards a blockchain-based esports framework: a TPB and machine learning integrated approach
Authors: Yadav Jitendra , Misra Madhvendra , Rana Nripendra P. , Singh Kuldeep , Goundar Sam 
Published: December 2021

PurposeBased on the concepts confined in Ajzen's theory of planned behavior (TPB), this study investigates users' attitudes towards adoption of a blockchain-based framework in the esports industry that proposes a scheme of rewarding stakeholders for their invested attention along with blockchain technology's inherent protocols.Design/methodology/approachThe present study uses RStudio (Version 1.3.1093) package RedditExtractoR for scraping and analysis of the discussion referring to the keyword “Verasity” on the Reddit website. The final corpus of 1,913 user comments was considered for the study. Sentiment analysis was initially conducted to explore the semantic orientation of the users concerning Verasity. This was followed by generalized equation modeling to analyze the impact of social media attributed to the users' commenting behavior.FindingsThe study found that Redditors, in general, have a positive attitude towards the adoption of a blockchain-based esports platform. This was validated through the empirical findings. The regression model states that there is a significant positive impact of the positivity in the comments over the Redditors' attitude and in their commenting behavior.Originality/valueThis study offers a new understanding of key contributing attributes of sentiment formation over social media concerning a blockchain-based esports framework. The study also establishes an empirical relationship between the social media attributes and the commenting behavior of Redditors. Finally, the current study offers valuable insights into social media engagements and the selection of highly influential Redditors for practicing marketing managers.