bluuebunny/crossref_metadata_2025_split huggingface dataset:
Limited SARS-CoV-2 diversity within hosts and following passage in cell culture
Authors: Moreno Gage K. , Braun Katarina M. , Halfmann Peter J. , Prall Trent M. , Riemersma Kasen K. , Haj Amelia K. , Lalli Joseph , Florek Kelsey R. , Kawaoka Yoshihiro , Friedrich Thomas C. , O’Connor David H. 
Published: April 2020

AbstractSince the first reports of pneumonia associated with a novel coronavirus (COVID-19) emerged in Wuhan, Hubei province, China, there have been considerable efforts to sequence the causative virus, SARS-CoV-2 (also referred to as hCoV-19) and to make viral genomic information available quickly on shared repositories. As of 30 March 2020, 7,680 consensus sequences have been shared on GISAID, the principal repository for SARS-CoV-2 genetic information. These sequences are primarily consensus sequences from clinical and passaged samples, but few reports have looked at diversity of virus populations within individual hosts or cultures. Understanding such diversity is essential to understanding viral evolutionary dynamics. Here, we characterize within-host viral diversity from a primary isolate and passaged samples, all originally deriving from an individual returning from Wuhan, China, who was diagnosed with COVID-19 and subsequently sampled in Wisconsin, United States. We use a metagenomic approach with Oxford Nanopore Technologies (ONT) GridION in combination with Illumina MiSeq to capture minor within-host frequency variants ≥1%. In a clinical swab obtained from the day of hospital presentation, we identify 15 single nucleotide variants (SNVs) ≥1% frequency, primarily located in the largest gene – ORF1a. While viral diversity is low overall, the dominant genetic signatures are likely secondary to population size changes, with some evidence for mild purifying selection throughout the genome. We see little to no evidence for positive selection or ongoing adaptation of SARS-CoV-2 within cell culture or in the primary isolate evaluated in this study.Author SummaryWithin-host variants are critical for addressing molecular evolution questions, identifying selective pressures imposed by vaccine-induced immunity and antiviral therapeutics, and characterizing interhost dynamics, including the stringency and character of transmission bottlenecks. Here, we sequenced SARS-CoV-2 viruses isolated from a human host and from cell culture on three distinct Vero cell lines using Illumina and ONT technologies. We show that SARS-CoV-2 consensus sequences can remain stable through at least two serial passages on Vero 76 cells, suggesting SARS-CoV-2 can be propagated in cell culture in preparation forin-vitroandin-vivostudies without dramatic alterations of its genotype. However, we emphasize the need to deep-sequence viral stocks prior to use in experiments to characterize sub-consensus diversity that may alter outcomes.
A neural representation of invisibility: when stimulus-specific neural activity negatively correlates with conscious experience
Authors: Davidson Matthew J , Mithen Will , Hogendoorn Hinze , van Boxtel Jeroen J.A. , Tsuchiya Naotsugu 
Published: April 2020

AbstractAlthough visual awareness of an object typically increases neural responses, we identify a neural response that increases prior to perceptualdisappearances, and that scales with the amount of invisibility reported during perceptual filling-in. These findings challenge long-held assumptions regarding the neural correlates of consciousness and entrained visually evoked potentials, by showing that the strength of stimulus-specific neural activity can encode the conscious absence of a stimulus.Significance StatementThe focus of attention and the contents of consciousness frequently overlap. Yet what happens if this common correlation is broken? To test this, we asked human participants to attend and report on the invisibility of four visual objects which seemed to disappear, yet actually remained on screen. We found that neural activity increased, rather than decreased, when targets became invisible. This coincided with measures of attention that also increased when stimuli disappeared. Together, our data support recent suggestions that attention and conscious perception are distinct and separable. In our experiment, neural measures more strongly follow attention.
Structure-seq2 probing of RNA structure upon amino acid starvation reveals both known and novel RNA switches inBacillus subtilis
Authors: Ritchey Laura E. , Tack David C. , Yakhnin Helen , Jolley Elizabeth A. , Assmann Sarah M. , Bevilacqua Philip C. , Babitzke Paul 
Published: April 2020

ABSTRACTRNA structure influences numerous processes in all organisms. In bacteria, these processes include transcription termination and attenuation, small RNA and protein binding, translation initiation, and mRNA stability, and can be regulated via metabolite availability and other stresses. Here we use Structure-seq2 to probe the in vivo RNA structurome ofBacillus subtilisgrown in the presence and absence of amino acids. Our results reveal that amino acid starvation results in lower overall dimethyl sulfate (DMS) reactivity of the transcriptome, indicating enhanced protection owing to protein binding or RNA structure. Starvation-induced changes in DMS reactivity correlated inversely with transcript abundance changes. This correlation was particularly pronounced in genes associated with the stringent response and CodY regulons, which are involved in adaptation to nutritional stress, suggesting that RNA structure contributes to transcript abundance change in regulons involved in amino acid metabolism. Structure-seq2 accurately reported on four known amino acid-responsive riboswitches: T-box, SAM, glycine, and lysine riboswitches. Additionally, we discovered a transcription attenuation mechanism that reducesyfmGexpression when amino acids are added to the growth medium. We also found that translation of a leader peptide (YfmH) encoded just upstream ofyfmGregulatesyfmGexpression. Our results are consistent with a model in which a slow rate ofyfmHtranslation caused by limitation of the amino acids encoded in YfmH prevents transcription termination in theyfmGleader region by favoring formation of an overlapping antiterminator structure. This novel RNA switch offers a way to simultaneously monitor the levels of multiple amino acids.
Impact of store-attributes on food and grocery shopping behavior: insights from an emerging market context
Authors: Nair Suja R. , Shams S.M. Riad 
Published: April 2020

PurposeIn recent years, while the food and grocery retail in developed markets like Western Europe seem to be slowly facing saturation, it has been steadily growing in the Asia–Pacific region markets like India. This is mainly due to the emergence of modern retail and the changing consumer dynamics. This study purposes to assesses whether food and grocery (F&G) shoppers in India are strongly influenced by store-attributes.Design/methodology/approachDescriptive research design, a cross-sectional survey involving 346 respondents (households) from metropolitan Bengaluru, participated in the study. Data is analyzed with SPSS 21, involving descriptive analysis, 1-way Anova, and confirmatory factor analysis (CFA), which appears useful to confirm the theoretical structure used for the study.FindingsStore-attributes – atmosphere, promotion, convenience, facilities, merchandise, store personnel interaction and services affect F&G store choice decisions. Additionally, significant difference is found in the way respondents perceive the sub-constructs of store-attributes, based on age.Practical implicationsThe study contributes to the theoretical knowledge on store-attributes and dynamic socio-demographic influences on store choices. It has managerial implications to encourage global retailers use knowledge on store-attributes influences to initiate effective communication and promotion strategies and work at customer relationship management (CRM) that earn profitably in the long run.Originality/valueToday, connected consumers seek shopping experiences that blend physical stores-attributes with other retail formats offerings. This research paper provides insights on shopper expectations of store-attributes, which could be used by global retailers to create delightful shopping experiences and to build CRM, especially when “experience per square foot” is used to measure the retailer's performance.
The little engine that could: the impact of psychological empowerment on organizational citizenship behavior
Authors: Turnipseed David L. , VandeWaa Elizabeth A. 
Published: April 2020

PurposeThe study examines the relationships between the dimensions of psychological empowerment and organizational citizenship behavior (OCB). The purpose is to identify specific dimensions of psychological empowerment that are linked to above average or “beyond the expected” citizenship behaviors.Design/methodology/approachA theoretical basis for a linkage between the four dimensions of psychological empowerment and dimensions of OCB was developed. Using a sample of 137 participants, these theoretical relationships were tested with hierarchical linear multiple regressions.FindingsThere are differential relationships between the dimensions of psychological empowerment and the dimensions of OCB. The OCB dimensions of contentiousness, altruism and obedience are linked to the psychological empowerment dimension of meaning: conscientiousness is also linked to competency.Research limitations/implicationsThe study sample was single industry and single organization to avoid interindustry and interorganizational contamination, and the results may lack generalizability. Therefore, researchers are encouraged to test the study hypotheses in other industries and occupations.Practical implicationsThe study sample was single industry and single organization to avoid interindustry and interorganizational contamination, and the results may lack generalizability. Therefore, researchers are encouraged to test the study hypotheses in other industries and occupations.Originality/valueThis paper reports the first known study of the relationships between Spreitzer's psychological empowerment dimensions and OCB. The value is the identification of manipulable relationships that can explain actual empowerment and provide pragmatic guidance for managers to increase empowerment and thus hopefully organizational effectiveness.
A two-stage EBM-based approach to evaluate operational performance of unattended convenience store
Authors: Yao Liming , Shuai Yuhong , Chen Xudong , Xiao Anran 
Published: April 2020

PurposeDue to recent technological advances, the retail industry has changed significantly. This paper examines a novel unmanned retail mode-unattended convenience store to identify the possible operational problems and develop appropriate managerial recommendations.Design/methodology/approachA data-driven two-stage epsilon-based measure (EBM) data envelopment analysis (DEA) method was developed to evaluate operational performance data from 33 unattended convenience stores and assess the impacts on efficiency of the internal factors, and a Tobit regression analysis was employed to examine the external environment.FindingsIt was found that the overall economic performances were relatively low and fluctuated significantly; however, the social performances were slightly higher. The out-of-stock rate was found to have a negative impact on efficiency, and regional characteristics were found to have significant effects on performance.Practical implicationsThis study sought to identify current operational problems with unattended convenience stores to provide managerial insights. The cross-sectional assessment suggested that to achieve better performance, particular attention needed to be paid to store locations and surrounding store environments.Originality/valueFirst, this paper establishes a novel theoretical framework to evaluate the economic and social operational performances at unattended convenience stores. Second, it contributes to research on unattended convenience stores and the unmanned retail industry and offers significant guidance on detecting operational deficiencies and improving future performances.
Does corporate investment efficiency affect corporate disclosure practices?
Authors: Elberry Noha , Hussainey Khaled 
Published: April 2020

PurposeThe authors examine the impact of corporate investment efficiency on corporate voluntary disclosure for a sample of UK non-financial companies.Design/methodology/approachThe authors use a sample of FTSE All-Share firms for the period of 2007–2014. Disclosure scores are collected from Corporate Financial Information Environment (CFIE). They follow Biddle et al. (2009) and Chen et al. (2011) in measuring corporate investment efficiency.FindingsThe authors find that high level of performance-related disclosure is associated with high level of corporate investment efficiency, while high level of good news information is associated with low level of corporate investment efficiency. They also find evidence on a bidirectional relation between disclosure and corporate investment efficiency.Research limitations/implicationsThe authors’ findings would be of importance to stakeholders and corporations. Stakeholders' investment decisions could be facilitated by understanding the disclosures provided by their firms and how these firms' performance is presented. Corporations become aware of the language which must be used to signal their performance.Practical implicationsCorporations become aware of the language which must be used in their disclosures. As firms may reflect their efficient investments but not in the form of good news in order to avoid revealing their competitive advantage to competitors.Originality/valueThis paper adds to disclosure studies by introducing a new variable, corporate investment efficiency, as a determinant of corporate disclosure practice.
Engaging ignored stakeholders of higher education accessibility practice: analysing the experiences of an international network of practitioners and researchers
Authors: Seale Jane , King Laura , Jorgensen Mary , Havel Alice , Asuncion Jennison , Fichten Catherine 
Published: April 2020

Purpose
The purpose of this paper is to examine and critique current approaches of higher education (HE) community concerning stakeholder engagement in the development of information and communications technology (ICT) related accessibility practice.

Design/methodology/approach
The approach taken to this examination is to draw on presentations, panel discussions and World Café reflections from an international symposium held in Montreal where researchers and practitioners debated two key questions as follows: have all the relevant stakeholders really been identified? Are there some stakeholders that the HE community has ignored? And what factors influence successfully distributed ownership of the accessibility mission within HE institutions?

Findings
A number of “new” internal and external stakeholders are identified and it is argued that if they are to be successfully engaged, effort needs to be invested in addressing power imbalances and developing opportunities for successful strategic silo-crossing.

Originality/value
The value of this paper is in critiquing the argument that all stakeholders in the development of accessible ICT in HE need to be involved, identifying a gap in the argument with respect to whether all relevant stakeholders have actually been engaged and offering insights into this omission might be rectified.
Disruptive product development for online fast fashion retailers
Authors: Parker-Strak Rachel , Barnes Liz , Studd Rachel , Doyle Stephen 
Published: April 2020

PurposeThis research critically investigates product development in the context of fast fashion online retailers who are developing “own label” fashion clothing. With a focus upon inputs, outputs, planning and management in order to comprehensively map the interplay of people, processes and the procedures of the product development process adopted.Design/methodology/approachQualitative research method was employed. Face-to-face semi structured in depth interviews were conducted with key informants from market leading fast fashion online retailers in the UK.FindingsThe major findings of this research demonstrate the disruptions in the product development process in contemporary and challenging fashion retailing and a new “circular process” model more appropriate and specific to online fast fashion businesses is presented.Research limitations/implicationsThe research has implications for the emerging body of theory relating to fashion product development. The research is limited to UK online fashion retailers, although their operations are global.Practical implicationsThe findings from this study may be useful for apparel product development for retailers considering an online and fast fashion business model.Originality/valueThe emergent process model in this study may be used as a baseline for further studies to compare product development processes.
Big data for small and medium-sized enterprises (SME): a knowledge management model
Authors: Wang Shouhong , Wang Hai 
Published: April 2020

PurposeBig data has raised challenges and opportunities for business, the information technology (IT) industry and research communities. Nowadays, small and medium-sized enterprises (SME) are dealing with big data using their limited resources. The purpose of this paper is to describe the synergistic relationship between big data and knowledge management (KM), analyze the challenges and IT solutions of big data for SME and derives a KM model of big data for SME based on the collected real-world business cases.Design/methodology/approachThe study collects eight well-documented cases of successful big data analytics in SME and conducts a qualitative data analysis of these cases in the context of KM. The qualitative data analysis of the multiple cases reveals a KM model of big data for SME.FindingsThe proposed model portrays the synergistic relationship between big data and KM. It indicates that strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products are the major constructs of KM of big data for SME. These constructs form a loop through the causal relationships between them.Research limitations/implicationsThe number of cases used for the derivation of the KM model is not large. The coding of these qualitative data could involve biases and errors. Consequently, the conceptual KM model proposed in this paper is subject to further verification and validation.Practical implicationsThe proposed model can guide SME to exploit big data for business by placing emphasis on KM instead of sophisticated IT techniques or the magnitude of data.Originality/valueThe study contributes to the KM literature by developing a theoretical model of KM of big data for SME based on underlying dimensions of strategic use of data, knowledge guided big data project planning, IT solutions for SME and new knowledge products.
Measuring the human capital of scientists in the principal investigator role
Authors: Foncubierta-Rodríguez Maria José , Martín-Alcázar Fernando , Perea-Vicente José Luis 
Published: April 2020

PurposeThere is an emerging literature on scientists in the principal investigator (PI) role that identifies them as central and key actors in entrepreneurial ecosystems. PIs in leading large-scale public research programmes and teams require an array of skills and abilities to be effective in this role. The purpose of this paper is to propose a human capital (HC) measurement scale that can unearth their competencies at the micro level, since there is no specific measurement scale specifically for PIs.Design/methodology/approachThe proposed model was reached relying on both qualitative and quantitative methodologies, to then apply exploratory factor analysis (EPT) and confirmatory factor analysis (AFC) to verify its suitability, as well as its internal consistency and reliability using appropriate indices.FindingsThe proposed model is composed of six PI's HC factors, such as research knowledge, open-mind research ability, research perform ability, stoic research skill, innovation skill and critical skill.Originality/valueIn proposing this, this paper advances micro-level understanding of the competencies that PIs require to be effective in the role, and answers the call for deeper research on these crucial actors. Shedding light on this issue is beneficial for not only the administrators of the universities, the research centres or the funding agencies to obtain further essential information in selecting the best-qualified person, but also to self-evaluate their skills, abilities and knowledge so that they can direct their efforts towards improving the weak aspects of their HC. Furthermore, it can be an additional useful criterion for defining the career plans of PIs or their promotion policies.
Big data approaches to develop a comprehensive and accurate tool aimed at improving autism spectrum disorder diagnosis and subtype stratification
Authors: Chen Tao , Froehlich Tanya , Li Tingyu , Lu Long 
Published: April 2020

PurposeAutism spectrum disorder (ASD) is a complex neurodevelopmental disorder that is difficult to diagnose accurately due to its heterogeneous clinical manifestations. Comprehensive models combining different big data approaches (e.g. neuroimaging, genetics, eye tracking, etc.) may offer the opportunity to characterize ASD from multiple distinct perspectives. This paper aims to provide an overview of a novel diagnostic approach for ASD classification and stratification based on these big data approaches.Design/methodology/approachMultiple types of data were collected and recorded for three consecutive years, including clinical assessment, neuroimaging, gene mutation and expression and response signal data. The authors propose to establish a classification model for predicting ASD clinical diagnostic status by integrating the various data types. Furthermore, the authors suggest a data-driven approach to stratify ASD into subtypes based on genetic and genomic data.FindingsBy utilizing complementary information from different types of ASD patient data, the proposed integration model has the potential to achieve better prediction performance than models focusing on only one data type. The use of unsupervised clustering for the gene-based data-driven stratification will enable identification of more homogeneous subtypes. The authors anticipate that such stratification will facilitate a more consistent and personalized ASD diagnostic tool.Originality/valueThis study aims to utilize a more comprehensive investigation of ASD-related data types than prior investigations, including proposing longitudinal data collection and a storage scheme covering diverse populations. Furthermore, this study offers two novel diagnostic models that focus on case-control status prediction and ASD subtype stratification, which have been under-explored in the prior literature.