bluuebunny/crossref_metadata_2025_split huggingface dataset:
INO80 promotes H2A.Z occupancy to regulate cell fate transition in pluripotent stem cells
Authors: Yu Hongyao , Wang Jiajia , Lackford Brad , Bennett Brian , Li Jian-liang , Hu Guang 
Published: December 2020

AbstractThe INO80 chromatin remodeler is involved in many chromatin-dependent cellular functions. However, its role in pluripotency and cell fate transition is not fully defined. We examined the impact of Ino80 deletion in the naïve and primed pluripotent stem cells. We found that Ino80 deletion had minimal effect on self-renewal and gene expression in the naïve state, but led to cellular differentiation and de-repression of developmental genes in the transition toward and maintenance of the primed state. Mechanistically, INO80 pre-marked gene promoters that would adopt the H3K4me3 and H3K27me3 bivalent histone modifications. It promoted H2A.Z occupancy at these future bivalent domains to facilitate H3K27me3 installation and maintenance as well as downstream gene repression. Thus, INO80-dependent H2A.Z occupancy is a critical a licensing step for bivalency and poised gene expression in pluripotent stem cells. Our results uncovered an unexpected function of INO80 in H2A.Z deposition and gene repression, and an epigenetic mechanism by which chromatin remodeling, histone variant and modification coordinately control cell fate.
SARS-CoV-2 inhibition in human airway epithelial cells using a mucoadhesive, amphiphilic chitosan that may serve as an anti-viral nasal spray
Authors: Pyrć Krzysztof , Milewska Aleksandra , Duran Emilia Barreto , Botwina Paweł , Lopes Rui , Arenas-Pinto Alejandro , Badr Moutaz , Mellor Ryan , Kalber Tammy L. , Fernandes-Reyes Delmiro , Schätzlein Andreas G. , Uchegbu Ijeoma F. 
Published: December 2020

AbstractThere are currently no cures for coronavirus infections, making the prevention of infections the only course open at the present time. The COVID-19 pandemic has been difficult to prevent, as the infection is spread by respiratory droplets and thus effective, scalable and safe preventive interventions are urgently needed. We hypothesise that preventing viral entry into mammalian nasal epithelial cells may be one way to limit the spread of COVID-19. Here we show that N-palmitoyl-N-monomethyl-N,N-dimethyl-N,N,N-trimethyl-6-O-glycolchitosan (GCPQ), a positively charged polymer that has been through an extensive Good Laboratory Practice toxicology screen, is able to reduce the infectivity of SARS-COV-2 in A549ACE2+and Vero E6 cells with a log removal value of −3 to −4 at a concentration of 10 – 100 μg/ mL (p < 0.05 compared to untreated controls) and to limit infectivity in human airway epithelial cells at a concentration of 500 μg/ mL (p < 0.05 compared to untreated controls). GCPQ is currently being developed as a pharmaceutical excipient in nasal and ocular formulations. GCPQ’s electrostatic binding to the virus, preventing viral entry into the host cells, is the most likely mechanism of viral inhibition. Radiolabelled GCPQ studies in mice show that at a dose of 10 mg/ kg, GCPQ has a long residence time in mouse nares, with 13.1% of the injected dose identified from SPECT/CT in the nares, 24 hours after nasal dosing. With a no observed adverse effect level of 18 mg/ kg in rats, following a 28-day repeat dose study, clinical testing of this polymer, as a COVID-19 prophylactic is warranted.
Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model
Authors: Battineni Gopi , Chintalapudi Nalini , Amenta Francesco 
Published: December 2020

PurposeAs of July 30, 2020, more than 17 million novel coronavirus disease 2019 (COVID-19) cases were registered including 671,500 deaths. Yet, there is no immediate medicine or vaccination for control this dangerous pandemic and researchers are trying to implement mathematical or time series epidemic models to predict the disease severity with national wide data.Design/methodology/approachIn this study, the authors considered COVID-19 daily infection data four most COVID-19 affected nations (such as the USA, Brazil, India and Russia) to conduct 60-day forecasting of total infections. To do that, the authors adopted a machine learning (ML) model called Fb-Prophet and the results confirmed that the total number of confirmed cases in four countries till the end of July were collected and projections were made by employing Prophet logistic growth model.FindingsResults highlighted that by late September, the estimated outbreak can reach 7.56, 4.65, 3.01 and 1.22 million cases in the USA, Brazil, India and Russia, respectively. The authors found some underestimation and overestimation of daily cases, and the linear model of actual vs predicted cases found a p-value (<2.2e-16) lower than the R2 value of 0.995.Originality/valueIn this paper, the authors adopted the Fb-Prophet ML model because it can predict the epidemic trend and derive an epidemic curve.
Communication scheduling data generation for pre-configured IMA network
Authors: Zhao Zhen , Fan Zhiyong , Sun Yigang , Liu Zhexu 
Published: December 2020

Purpose
In modern integrated modular avionics (IMA), it plays an important role to guarantee safety and reliability of the system. The safety and reliability of communication scheduling plays a crucial role in this IMA platforms-based network system. To verify the safety and reliability of the communication scheduling in this network, sufficient and typical test data must be generated to input into the network, obtain and evaluate the corresponding output.

Design/methodology/approach
To generate communication scheduling data, this paper presents an iterative communication scheduling data generation algorithm for a configured network of IMA platforms. First, the algorithm generates all possible communication schedules for the first timestamp. Then, constraint is introduced to decrease the quantity of communication schedules to improve the efficiency. The communication schedules are gradually extended to the second timestamp until the final timestamp, i.e. length of communication scheduling sequence.

Findings
To verify the efficiency and feasibility of the algorithm, a model is built based on the architecture analysis and design language (AADL) by mapping the correlation time of generated communication scheduling data into task properties. Schedulability is analyzed by loading this model into AADL Inspector. The simulation result illustrates that the proposed algorithm is efficient and feasible.

Practical implications
The proposed method can provide data support for communication scheduling test for the network of IMA platforms.

Originality/value
A constraint-based iterative communication scheduling data generation algorithm is proposed for the network of IMA platforms automatically.
Do consumers really recognise a distinct quality hierarchy amongst PDO sparkling wines? The answer from experimental auctions
Authors: Galletto Luigi , Caracciolo Francesco , Boatto Vasco , Barisan Luigino , Franceschi Deborah , Lillo Marica 
Published: December 2020

PurposeConsumer likeability and willingness to pay (WTP) for two Italian sparkling wines, (Conegliano Valdobbiadene Prosecco DOCG and Prosecco DOC) are evaluated through a non-hypothetical Becker-DeGroot-Marschak (BDM) auction during a wine-tasting experiment. The purpose of this paper is to estimate individual WTP and relate it to likeability for both wines, with and without supplying additional information on their features.Design/methodology/approachData were collected in May–June 2019 from a sample of 99 consumers in Northern Italy. A non-hypothetical BDM auction in a wine-tasting experiment was implemented.FindingsThe results show that the additional information plays a significant role in widening the WTP gap between the two geographical indications (GIs), while the blind tasting narrows this gap. The “superiority” of the Conegliano Valdobbiadene Prosecco DOCG is confirmed but relies more on its better reputation than its better taste.Research limitations/implicationsThe authors are aware of two main limitations in the study. The first is the territorial composition of the consumer sample. The second is the selection of the Prosecco bottles used in the experiment. The results are considered pioneering and need to be verified by additional experiments with different consumer and bottle samples.Practical implicationsPromotional suggestions for the Tutelary Consortia of the two GIs stem from the results. The Prosecco DOC should primarily stress its likeability, while the Conegliano Valdobbiadene Prosecco DOCG should primarily emphasise the reasons for its “superiority”.Originality/valueTo the best of the authors' knowledge, no previous study has related likeability and WTP for similar GI wines produced in contiguous areas. Moreover, the current research has applied a non-hypothetical BDM auction in a wine-tasting experiment.
Welfare effects of vegetable producers' inclusiveness in supply chain coordination: direct effects and spillovers
Authors: Liang Qiao , Li Lin , Bai Rongrong 
Published: December 2020

PurposeThe purpose of this paper is to estimate the effect of vegetable producers' inclusiveness in supply chain coordination on vegetable production performance and potential spillover effect on farm and non-farm income.Design/methodology/approachA comprehensive dataset comprised of 410 paired vegetable producers in China is applied. Propensity score matching (PSM) estimation method is used to control for the selection bias problem.FindingsThe empirical results indicate that contracting farming does not have significant effect on yield or profit of vegetable production, but promote producers to obtain quality certification. In comparison, cooperative membership has positive effects on the yield, profit and quality certification of producers. Additionally, cooperatives generate positive spillover effects on members' farm and non-farm income, though the results are sensitive to unobserved factors. The inclusion of spillover effects helps to find out the potential unobserved effects which are neglected by most studies and design better policies to promote the development of agricultural companies and farmer cooperatives.Originality/valueFirst, empirical evidence is provided for theories regarding the roles of different supply chain coordination modes on producers. Second, the analysis on evaluating the effects of supply chain coordination also considers the spillover effect on the farming of other products and even non-farm work of involved producers. Third, a unique dataset comprised of 420 paired vegetable producers, based on an extensive survey is built.
Representation of women managers in hospitality and tourism: a content analysis of related magazine articles
Authors: Nagar Komal 
Published: December 2020

PurposeThis study aims to investigate the representation of women managers through a content analysis of related magazine articles within the hospitality industry in the Maldives. Evidence suggests an increase in the number of working women, yet there is relative neglect toward identifying issues involving women in the industry.Design/methodology/approachBoth qualitative and quantitative approaches were used to content-analyze the narrative on the sampled articles from a Maldives-based hospitality magazine, Hotelier Maldives. Qualitative content analysis and quantitative methods report on the challenges faced by women managers and reasons for their success based on the narratives.FindingsThis study revealed that although women managers are underrepresented in management, there has been a broad increase in the participation of women within the industry. This study falsified the perception that gender is a limiting factor to hold senior positions in the hospitality industry and that increased participation of women managers may be driven by the changing social and cultural contexts.Originality/valueThis study is one of the first to examine how women managers are represented in hospitality magazines. Despite its relevance, previous tourism research has not focused on this kind of measurement.
Generic skill profiles of future accountants and auditors – moving beyond attributes
Authors: Barac Karin , Plant Kato , Kunz Rolien , Kirstein Marina 
Published: December 2020

PurposeThis study investigates perceptions regarding generic skills future entry-level accountants and auditors will require. Such soft or pervasive skills are necessary to operate effectively in the future world of work. Prior research mainly explores generic skills from an attribute-based perspective, while this paper combines it with an activity-based perspective in generic skill profiles of accountants and auditors.Design/methodology/approachFollowing a mixed methods research approach through focus group discussions and a survey involving more than 3,000 professional accountants and/or auditors, the study uses data from the Southern African region (South Africa, Zimbabwe and Namibia) to determine views on the competency needs of future accountants and auditors. An exploratory factor analysis was conducted to determine whether categories of generic skills for future entry-level accountants and auditors differ.FindingsFour generic skills factors emerged as essential for future entry-level chartered accountants (CAs): digital, decision-making, organisational and business acumens. Three generic skill factors emerged for future registered auditors (RAs): digital, practice and commercial acumens. The results show that generic skill profiles of CAs and RAs, who are members of an accounting body differ and that both the context, related to an activity-based perspective, and individual or internal abilities, related to an attribute-based perspective, matter.Research limitations/implicationsThe study extends generic skill theory by identifying broad categories of generic skills (referred to as acumens) for future accountants and auditors.Practical implicationsInsights from this paper facilitate a comprehensive understanding of the generic skill profile approach, combining attribute-based and activity-based perspectives, and this could assist accounting educators, practitioners and professional bodies to better prepare entry-level accounting and audit professionals for the workplace.Originality/valueThe study identifies broad categories (digital, decision-making, organisational, business, practice and commercial acumens) within generic skill profiles of CAs and RAs and shows that generic skills do not operate independently and should be viewed as an interdependent set or constellation of competencies.
Market-oriented corporate digital responsibility to manage data vulnerability in online banking
Authors: Liyanaarachchi Gajendra , Deshpande Sameer , Weaven Scott 
Published: December 2020

PurposeThis conceptual paper explores gaps in bank privacy protection practices and advocates for banks to integrate market-oriented (MO) approaches in their corporate digital responsibility (CDR) initiatives to minimize consumer data vulnerability.Design/methodology/approachTo apply MO in CDR, this study recommends adoption of a behavior change framework comprising of the co-creation, build and engage (CBE) model and proposes the creation of consumer segments based on generational cohort and tailoring strategies through motivation, opportunity and ability (MOA) model to manage vulnerability.FindingsThe study specifies that managing consumer data vulnerability requires a unique strategy different from conventional service delivery. A holistic approach is recommended by integrating corporate digital responsibility as a pivotal element of organizational strategy and by positioning vulnerable customers as a critical stakeholder.Originality/valueThe paper contributes to the research in corporate social responsibility (CSR), privacy and data vulnerability in the banking sector in two prominent ways: first, the study demonstrates the importance of MO as a premise to develop a novel version of CDR called market-oriented digital responsibility (MODR). The study considers MODR as a strategy to reposition vulnerable consumers as a key stakeholder, and, second, the study proposes an innovative set of consumer segments based on data vulnerability and introduces a data vulnerability growth model (DVGM) connecting vulnerability with age.
Removal behavior of methylene blue from graphene oxide/gluten composite material: kinetics, isotherms and thermodynamics
Authors: Zhang Xiaoping , Li Yanhui , Li Meixiu , Du Qiuju , Li Hong , Wang Yuqi , Wang Dechang , Wang Cuiping , Sui Kunyan , Li Hongliang , Xia Yanzhi , Yu Yuanhai 
Published: December 2020

PurposeIn order to discover a new adsorbent that can be used to purify dye wastewater in the textile and apparel industry, a novel type of graphene oxide/gluten composite material using an improved acid bath coagulation method was synthesized, which can remove methylene blue in an aqueous environment.Design/methodology/approachAfter experimentally compounding different ratios of graphene oxide and gluten, the graphene oxide/gluten composite material with 20% graphene oxide content and superlative adsorption effect was chosen. The synthesized material was characterized by different techniques such as FT-IR and SEM, indicating the microstructure of the material and the success of the composite. Various factors were considered, namely, the influence of temperature, dosage, pH and contact time. The isotherms, kinetics and thermodynamic parameters were successively discussed.FindingsThe qmax value of 214.29 mg/g of the material was higher compared to the general sorbent, thus, the graphene oxide/gluten composite material was a suitable sorbent for methylene blue removal. Overall, the graphene oxide/gluten composite material can be considered as an effectual and prospective adsorbent to remove methylene blue in the textile and apparel industrial effluent.Originality/valueGraphene oxide is a potentially excellent sorbent. However, the high dispersibility of GO is detrimental to adsorption, it disperses rapidly in an aqueous solution making separation and recovery difficult. The high load capacity and recyclability of gluten as a colloid make it a suitable carrier for fixing GO. Studies on the combination of GO and GT into composite adsorption material and for the removal of dyes from dyeing wastewater have not been reported. The composite material research on GO and GT can provide new ideas for the research of these kinds of materials and contribute to its wider and convenient application in wastewater treatment.
Spatial econometric analysis of digital financial inclusion in China
Authors: Song Xiao-Ling , Jing Ya-Ge , Akeba'erjiang Kade'erya 
Published: December 2020

Purpose
This study aims to empirically analyze the factors influencing digital financial inclusion in China.

Design/methodology/approach
Using panel data from 31 provinces in China for the years 2011-2018, the study constructed spatial econometric models for regression analysis at the national and regional levels.

Findings
Economic development, government intervention, internet penetration and the development of the credit level significantly affected the development of digital financial inclusion in China. However, the specific influence of the various factors varied by province. Provinces with less-developed economies generally had weaker economic foundations and underdeveloped digital financial services, making it more difficult to fully achieve digital financial inclusion.

Practical implications
Relevant government policies should strengthen digital infrastructure and improve the organizational systems and services of digital finance to support the balanced development of digital financial services in China.

Originality/value
China’s e-commerce development has been at the global forefront for decades, which suggests digital financial inclusion is also well-placed for strong development in China. However, quantitative research on the digital financial inclusion index has remained insufficient in China and worldwide, with most research ignoring the status of different development levels in a different region. To address this gap in the literature, this study empirically researched the status, regional differences and causes associated with these differences that impact digital financial inclusion in China.
Patient satisfaction in the context of public–private partnerships
Authors: Mallat Amani , Vrontis Demetris , Thrassou Alkis 
Published: December 2020

Purpose
This study aims to provide insights into the public–private partnerships (PPP) concept and its performance measurement in the health-care sector, identifying and refining critical success factors, including the perceived quality of health care, as evidenced by patient satisfaction and policy requirements for successful PPP implementation.

Design/methodology/approach
This theoretical study explores the existing literature on the relationship between service quality and patient satisfaction, to propose a culture-specific conceptual model interlinking the drivers of patient satisfaction with PPP. The in-depth theoretical research focuses on the qualitative performance indicators of PPPs, as well as their corresponding peripheral factors.

Findings
The research presents theoretical evidence that the concept of patient satisfaction can only be viewed through a multifactor perspective that incorporates demographics of patients, perceived service quality factors and emotions. It is found that significant improvements in service quality and patient satisfaction do, indeed, emphasize the effective role of PPP in hospitals.

Practical implications
The theoretical model is based on a comprehensive set of both cognitive and affective determinants. And considering these, as well as their causes, effects and interrelations, sets the foundations for testing and for further research to develop. Moreover, the outcomes of this study can be used as a theoretical base for the development of a PPP qualitative performance measurement framework.

Originality/value
This study attempts to fill the gap in knowledge on service quality and patient satisfaction as qualitative indicators for hospital performance after and toward PPP, while setting explicit factors and opening clear research avenues for further studies to follow.
Psychological empowerment and job satisfaction of accountants: the mediating effect of task performance
Authors: Varma Ashish , Malhotra Gunjan 
Published: December 2020

PurposeThis study aims to ascertain the mediating effect of task performance (TP) on the linkage between the psychological empowerment (PE) and job satisfaction (JS) of professional accountants.Design/methodology/approachPrimary data was collected through a questionnaire-based survey of 132 professional accountants who were the units of analysis for the study. These accountants were domiciled in 11 Indian cities and worked in both service and manufacturing firms. The data was analyzed using the partial least squares structural equation modeling method.FindingsThe study found that TP mediated the linkage between PE and JS, although, contrary to observations in developed economies, one of its sub-constructs – competence – displayed no such mediation capability. Counterintuitively, it was empirically observed that the accountants’ gender had no bearing on the mediating effect of TP.Originality/valueThe study makes three distinct contributions. First, it empirically confirms that the intrinsic motivation theory applies to accountants in the context of operations in emerging markets. Second, the paper contributes to the accounting behavioral literature by observing that competence, as a sub-dimension of the PE construct, does not significantly impact the JS level of accountants. Finally, the study also contributes to the development of sound business practices by confirming that gender differences do not impact the satisfaction levels of accountants in emerging markets.