bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single cell transcriptome analysis defines heterogeneity of the murine pancreatic ductal tree
Authors: Hendley Audrey M. , Rao Arjun A. , Leonhardt Laura , Ashe Sudipta , Smith Jennifer A. , Giacometti Simone , Peng Xianlu L , Jiang Honglin , Berrios David I. , Pawlak Mathias , Li Lucia Y. , Lee Jonghyun , Collisson Eric A. , Anderson Mark , Fragiadakis Gabriela K. , Yeh Jen Jen , Chun Jimmie Ye , Kim Grace E. , Weaver Valerie M. , Hebrok Matthias 
Published: October 2020

ABSTRACTLineage tracing using genetically engineered mouse models is an essential tool for investigating cell-fate decisions of progenitor cells and biology of mature cell types, with relevance to physiology and disease progression. To study disease development, an inventory of an organ’s cell types and understanding of physiologic function is paramount. Here, we performed single-cell RNA sequencing to examine heterogeneity of murine pancreatic duct cells, pancreatobiliary cells, and intrapancreatic bile duct cells. We describe an epithelial-mesenchymal transitory axis in our three pancreatic duct subpopulations and identify SPP1 as a regulator of this fate decision as well as human duct cell de-differentiation. Our results further identify functional heterogeneity within pancreatic duct subpopulations by elucidating a role for Geminin in accumulation of DNA damage in the setting of chronic pancreatitis. Our findings implicate diverse functional roles for subpopulations of pancreatic duct cells in maintenance of duct cell identity and disease progression and establish a comprehensive road map of murine pancreatic duct cell, pancreatobiliary cell, and intrapancreatic bile duct cell homeostasis.SIGNIFICANCEMurine models are extensively used for pancreatic lineage tracing experiments and investigation of pancreatic disease progression. Here, we describe the transcriptome of murine pancreatic duct cells, intrapancreatic bile duct cells, and pancreatobiliary cells at single cell resolution. Our analysis defines novel heterogeneity within the pancreatic ductal tree and supports the paradigm that more than one population of pancreatic duct cells harbors progenitor capacity. We identify and validate unique functional properties of subpopulations of pancreatic duct cells including an epithelial-mesenchymal transcriptomic axis and roles in chronic pancreatic inflammation.
New and novel business paradigms in and from China and India
Authors: Paul Justin , Menzies Jane , Zutshi Ambika , Cai Huifen 
Published: October 2020

PurposeThis paper aims to identify and discuss new and novel business paradigms in China and India. In addition, this study examines the new business environment in those countries (2020 onwards) in the context of COVID 19 and explores the challenges and opportunities in the post COVID period.Design/methodology/approachBased on content analysis, this study discusses contemporary topics such as innovation, exports, foreign direct investment, technology, social capital, board independence as part of corporate governance and explores novel themes such as consumer behaviour in regard to luxury brands and women entrepreneurship in an emerging country context in this paper.FindingsIt was found that there are several novel paradigms in the context of China and India. A paradigm shift in diplomatic relations has taken place as an aftermath of COVID-19 in the world.Originality/valueThis paper explores most of the unique dimensions of new and novel paradigms in the context of China and India.
Approximated optimal design for a bivariate step-stress accelerated life test with generalized exponential distribution under type-I progressive censoring
Authors: Hakamipour Nooshin 
Published: October 2020

PurposeIn this paper, the author proposed an optimization design for a step-stress accelerated life test (SSALT) with two stress variables for the generalized exponential (GE) distribution under progressive type-I censoring.Design/methodology/approachIn this paper, two stress variables were considered. Progressive censoring and accelerated life testing were used to reduce the time and cost of testing. It was assumed that the lifetimes of the test units followed a GE distribution. The effects of changing stress were considered as a cumulative exposure model. A log-linear relationship between the scale parameter of the GE distribution and the stress was proposed. The maximum likelihood estimators and approximate and bootstrap confidence intervals (CIs) for the model parameters were obtained. An optimum test plan was developed using minimization of the asymptotic variance (AV) of the percentile life under the usual operating condition.FindingsAccording to the simulation results, the bootstrap CIs of the model parameters gave more accurate results than approximate CIs through the length of CIs. The sensitivity analysis was performed to illustrate the effect of initial estimates on optimal values that has been studied. Simulation results also indicated that the optimal times were not too sensitive to the initial values of parameters; thus, the proposed design was robust.Originality/valueIn most studies, only one accelerating stress variable is used. Sometimes accelerating one stress variable does not yield enough failure data. Thus, two stress variables may be needed for additional acceleration. In this paper, two stress variables are considered. The inclusion of two stress variables in a test design will lead to a better understanding of the effect of two simultaneously operating stress variables. Also, the author assumes that the failure time of the test units follows a GE distribution. It is observed that the GE distribution can be used quite effectively to analyze lifetime data in place of gamma, Weibull and log-normal distributions. Also, most studies in this field have focused on the derivation of optimum test plans. In this paper, the author examined the estimation of model parameters and the optimization of the test design. In this paper, the asymptotic and bootstrap CIs for the model parameters are calculated. In addition, a sensitivity analysis is performed to examine the effect of the changes in the pre-estimated parameters on the optimal hold times. For determining the optimal test plan, due to nonlinearity and complexity of the objective function, the particle swarm optimization (PSO) algorithm is developed to calculate the optimal hold times. In this method, the research speed is very fast and optimization ability is more.
E-service quality on live streaming platforms: swift guanxi perspective
Authors: Zhang Min , Sun Lin , Qin Fang , Wang G. Alan 
Published: October 2020

Purpose
In recent years, more and more e-retailers have adopted live streaming services to attract customers. Although the extant literature has mostly examined the motivations for live streaming usage, it remains unclear how to enhance customers’ purchase behaviour. Based on the social exchange theory, in the context of live streaming platforms (LSP), this study aims to investigate the impact of information quality and interaction quality on swift guanxi and customers’ purchase intention.

Design/methodology/approach
This study conducted an online survey to conduct two rounds of data collection and analyses the data using SPSS and SmartPLS softwares.

Findings
The results show that information quality (believability, usefulness and vividness) and interaction quality (responsiveness, real-time interaction and empathy) are positively related to swift guanxi, which may influence customers’ online purchase intention on LSP.

Originality/value
Prior service quality studies tend to focus on traditional physical stores and e-commerce websites context. This study offers the description of key dimensions of service quality on emerging LSP context. The study also confirms the importance of swift guanxi in an online marketplace.
Business-to-business marketing responses to COVID-19 crisis: a business process perspective
Authors: Kang Jun , Diao Zihe , Zanini Marco Tulio 
Published: October 2020

PurposeThis study aims to identify appropriate strategies and actions adopted by business-to-business firms to cope with the ongoing COVID-19 crisis.Design/methodology/approachA review of business-to-business marketing responses to the COVID-19 crisis in China was conducted.FindingsNine marketing responses built on core business processes were classified into three categories: (1) embedded in product development management process (stretching product lines to meet urgent needs, expanding product lines to meet urgent needs and adjusting products proactively for emerging needs), (2) built on supply chain management process (coordinating suppliers to meet surging demand, migrating to digital distribution channels and solidarity with supply chain members) and (3) related to customer relationship management process (investing in advertising and promotion, cross-selling to existing customers and supporting customers).Originality/valueThis study contributes to the literature of marketing responses to COVID-19 by examining the cash flows effects of various marketing responses. It also contributes to the business processes based on marketing strategy framework by extending it to the crisis management context. In addition, it provides five practical suggestions for business-to-business firms to cope with the COVID-19 crisis.
DNA methylation determines the regulation of pregnane X receptor on CYP3A4 expression
Authors: Wang Xiaofei , Wei Luman , Yang Jingke , Wang Yiting , Chen Shitong , Yang Kun , Meng Xiangguang , Zhang Lirong 
Published: October 2020

AbstractThe expression and activity of CYP3A4 vary among individuals. With the development of epigenetics, it is now possible to elucidate interindividual differences in drug‐metabolizing enzymes. Here, we aimed to explore the potential relationship between DNA methylation and CYP3A4 expression. We analyzed the effect of a DNA methylation inhibitor, 5‐aza‐2‐deoxycytidine, on pregnane X receptor (PXR) and CYP3A4 expression in HepG2 cells. In addition, pCpGL‐CYP3A4‐promoter and pCpGL‐CYP3A4‐enhancer plus promoter plasmids were constructed, methylated, and transfected. We found that treatment with 5‐aza‐2‐deoxycytidine significantly increased the expression of PXR and CYP3A4 in a concentration‐ and time‐dependent manner. In addition, CYP3A4 expression was significantly enhanced by overexpressing PXR via transfection of pSG5‐PXR plasmids. Methylation of CYP3A4 enhancer inhibited CYP3A4 transcriptional activity mediated through PXR and inhibited the binding of PXR and CYP3A4 promoter. We also observed that when the promoter and enhancer of CYP3A4 were methylated, CYP3A4 expression did not increase after treatment with rifampicin. In conclusion, the investigation demonstrates that DNA methylation of CYP3A4 enhancer significantly inhibits CYP3A4 expression, mediated through PXR, which is not influenced by rifampicin.
Culturing novel and abundant pelagiphages in the ocean
Authors: Zhang Zefeng , Qin Fang , Chen Feng , Chu Xiao , Luo Haiwei , Zhang Rui , Du Sen , Tian Zhen , Zhao Yanlin 
Published: October 2020

SummaryViruses play a key role in biogeochemical cycling and host mortality, metabolism, physiology and evolution in the ocean. Viruses that infect the globally abundant SAR11 bacteria (pelagiphages) were reported to be an important component of the marine viral communities. Our current knowledge of pelagiphages is based on a few studies and therefore is limited. In this study, 10 new pelagiphages were isolated and genomically characterized. These pelagiphages represent the first cultivated representatives of four viral lineages only found in metagenomic sequencing datasets previously. Many abundant environmental viral sequences, i.e., single‐virus vSAG 37‐F6 and several Global Ocean Viromes (GOV) viral populations, are now further confirmed with these pelagiphages. Viromic read mapping reveals that these new pelagiphages are globally distributed in the ocean and can be detected throughout the water column. Remarkably, isolation of these pelagiphages contributed up to 12% of all viromic reads annotated in the analysed viromes. Altogether, this study has greatly broadened our understanding of pelagiphages regarding their morphology, genetic diversity, infection strategies, and distribution pattern. The availability of these newly isolated pelagiphages and their genome sequences will allow us to further explore their infectivities and ecological strategies.
Mechanisms of triazole resistance in Aspergillus fumigatus
Authors: Nywening Ashley V. , Rybak Jeffrey M. , Rogers Phillip David , Fortwendel Jarrod R. 
Published: October 2020

SummaryThe ubiquitous fungal pathogen Aspergillus fumigatus is the primary cause of opportunistic mould infections in humans. Aspergilli disseminate via asexual conidia passively travelling through air currents to germinate within a broad range of environs, wherever suitable nutrients are found. Though the average human inhales hundreds of conidia daily, A. fumigatus invasive infections primarily affect the immunocompromised. At‐risk individuals can develop often fatal invasive disease for which therapeutic options are limited. Regrettably, the global insurgence of isolates resistant to the triazoles, the frontline antifungal class used in medicine and agriculture to control A. fumigatus, is complicating the treatment of patients. Triazole antifungal resistance in A. fumigatus has become recognized as a global, yet poorly comprehended, problem. Due to a multitude of factors, the magnitude of resistant infections and their contribution to treatment outcomes are likely underestimated. Current studies suggest that human drug‐resistant infections can be either environmentally acquired or de novo host selected during patient therapy. While much concerning development of resistance is yet unknown, recent investigations have revealed assorted underlying mechanisms enabling triazole resistance within individual clinical and environmental isolates. This review will provide an overview of triazole resistance as it is currently understood, as well as highlight some of the prominent biological mechanisms associated with clinical and environmental resistance to triazoles in A. fumigatus.
MerF is a novel regulator of deep‐sea Pseudomonas stutzeri flagellum biogenesis and motility
Authors: Zheng Rikuan , Wu Shimei , Sun Chaomin 
Published: October 2020

SummaryMerF, a proposed bacterial mercury transporter, was surprisingly found to play key roles in the flagellum biogenesis and motility but not mercuric resistance of the deep‐sea bacterium Pseudomonas stutzeri 273 in our previous study. However, the mechanism behind this interesting discovery has not been elucidated. Here, we firstly applied the combined transcriptomic and proteomic analysis to the P. stutzeri 273 wild type and merF deletion mutant. The results showed that expressions of extracellular flagellar components and FliS, a key factor controlling the biogenesis of extracellular flagellar filament, were significantly downregulated in the merF deletion mutant. In combination of genetic and biochemical methods, MerF was further demonstrated to regulate the expression of fliS via directly binding to its promoter, which is consistent with the discovery that MerF is essential for bacterial flagellum biogenesis and motility. Importantly, the expression of merF and fliS could be simultaneously upregulated by different heavy metals and MerF homologues exist in both bacterial and archaeal domains. To the best of our knowledge, this is the first report linking the heavy metal transporter and the flagellum biogenesis and motility in microorganisms, which provides a good model to investigate the unexplored adaptation strategies of deep‐sea microbes against harsh conditions.
Exclusion and hospitality: the subtle dynamics of stigma in healthcare access for people emerging from alcohol and other drug treatment
Authors: Fraser Suzanne , Moore David , Farrugia Adrian , Edwards Michael , Madden Annie 
Published: October 2020

AbstractThis article explores the role of drug use‐related stigma in constraining access to healthcare services. Drawing on interviews with 20 people conducted shortly after leaving an Australian alcohol and other drug withdrawal management unit, the article explores their willingness and ability to access primary care, hospital and further services. It finds repeated descriptions of feeling ignored and shamed during efforts to access care, with some descriptions relating to subtle signs of disapproval or condemnation, and others to being ignored or dismissed. Some accounts additionally emphasise unwelcoming atmospheres, and exclusion by omission of signals of welcome and encouragement. The article goes on to consider, for the first time in this field, contemporary notions of welcome and hospitality as outlined within the cosmopolitanism tradition, asking whether they offer insights into how healthcare may become more accessible for people who regularly experience stigmatisation. In concluding, the article considers the need to think further about forms of exclusion that occur when social and individual histories of stigma are not institutionally recognised, and measures to counter these histories are not actively adopted.
Prediction of stillbirth: an umbrella review of evaluation of prognostic variables
Authors: Townsend R , Sileo FG , Allotey J , Dodds J , Heazell A , Jorgensen L , Kim VB , Magee L , Mol B , Sandall J , Smith GCS , Thilaganathan B , von Dadelszen P , Thangaratinam S , Khalil A 
Published: October 2020

AbstractBackgroundStillbirth accounts for over 2 million deaths a year worldwide and rates remains stubbornly high. Multivariable prediction models may be key to individualised monitoring, intervention or early birth in pregnancy to prevent stillbirth.ObjectivesTo collate and evaluate systematic reviews of factors associated with stillbirth in order to identify variables relevant to prediction model development.Search strategyMEDLINE, Embase, DARE and Cochrane Library databases and reference lists were searched up to November 2019.Selection criteriaWe included systematic reviews of association of individual variables with stillbirth without language restriction.Data collection and analysisAbstract screening and data extraction were conducted in duplicate. Methodological quality was assessed using AMSTAR and QUIPS criteria. The evidence supporting association with each variable was graded.ResultsThe search identified 1198 citations. Sixty‐nine systematic reviews reporting 64 variables were included. The most frequently reported were maternal age (n = 5), body mass index (n = 6) and maternal diabetes (n = 5). Uterine artery Doppler appeared to have the best performance of any single test for stillbirth. The strongest evidence of association was for nulliparity and pre‐existing hypertension.ConclusionWe have identified variables relevant to the development of prediction models for stillbirth. Age, parity and prior adverse pregnancy outcomes had a more convincing association than the best performing tests, which were PAPP‐A, PlGF and UtAD. The evidence was limited by high heterogeneity and lack of data on intervention bias.Tweetable abstractReview shows key predictors for use in developing models predicting stillbirth include age, prior pregnancy outcome and PAPP‐A, PLGF and Uterine artery Doppler.
A controlled trial of dissemination and implementation of a cardiovascular risk reduction strategy in small primary care practices
Authors: Cykert Samuel , Keyserling Thomas C. , Pignone Michael , DeWalt Darren , Weiner Bryan J. , Trogdon Justin G. , Wroth Thomas , Halladay Jacqueline , Mackey Monique , Fine Jason , In Kim Jung , Cene Crystal 
Published: October 2020

AbstractObjectiveTo assess the effect of dissemination and implementation of an intervention consisting of practice facilitation and a risk‐stratified, population management dashboard on cardiovascular risk reduction for patients at high risk in small, primary care practices.Study SettingA total of 219 small primary care practices (≤10 clinicians per site) across North Carolina with primary data collection from electronic health records (EHRs) from the fourth quarter of 2015 through the second quarter of 2018.Study DesignWe performed a stepped‐wedge, stratified, cluster randomized trial of a one‐year intervention consisting of practice facilitation utilizing quality improvement techniques coupled with a cardiovascular dashboard that included lists of risk‐stratified adults, aged 40‐79 years and their unmet treatment opportunities. The primary outcome was change in 10‐Year ASCVD Risk score among all patients with a baseline score ≥10 percent from baseline to 3 months postintervention.Data Collection/ Extraction MethodsData extracts were securely transferred from practices on a nightly basis from their EHR to the research team registry.Principle FindingsASCVD risk scores were assessed on 437 556 patients and 146 826 had a calculated 10‐year risk ≥10 percent. The mean baseline risk was 23.4 percent (SD ± 12.6 percent). Postintervention, the absolute risk reduction was 6.3 percent (95% CI 6.3, 6.4). Models considering calendar time and stepped‐wedge controls revealed most of the improvement (4.0 of 6.3 percent) was attributable to the intervention and not secular trends. In multivariate analysis, male gender, age >65 years, low‐income (<$40 000), and Black race (P < .001 for all variables) were each associated with greater risk reductions.ConclusionA risk‐stratified, population management dashboard combined with practice facilitation led to substantial reductions of 10‐year ASCVD risk for patients at high risk. Similar approaches could lead to effective dissemination and implementation of other new evidence, especially in rural and other under‐resourced practices.Registration: ClinicalTrials.Gov 15‐0479.
Revisited: Effective use of the large body of research on the effectiveness of programs for juvenile offenders and the failure of the model programs approach
Authors: Lipsey Mark W. 
Published: October 2020

AbstractElliott et al.'s essay is part of what is now a series of papers in Criminology and Public Policy on contrasting ways that the evidence base on effective interventions with juvenile offenders can be used to improve juvenile justice programming. Their paper has two themes—(a) a defense of the model programs approach as promoted by the Blueprints for Healthy Youth Development evidence‐based program registry, and (b) an attack on the Standardized Program Evaluation Protocol scheme for assessing programs for juvenile offenders and the meta‐analysis on which it is based. I address both those themes in this commentary in the context of the broader cross‐disciplinary conversation about ways to apply research evidence to improve the effectiveness of the programs used in actual practice.